2022-11-23T01:10:22.0074021Z Requested labels: linux.2xlarge 2022-11-23T01:10:22.0074093Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master 2022-11-23T01:10:22.0074114Z Waiting for a runner to pick up this job... 2022-11-23T01:10:22.8160044Z Job is about to start running on the runner: i-093dd9b3e43ded204 (organization) 2022-11-23T01:10:27.6882503Z Current runner version: '2.299.1' 2022-11-23T01:10:27.6887905Z Runner name: 'i-093dd9b3e43ded204' 2022-11-23T01:10:27.6888289Z Runner group name: 'Default' 2022-11-23T01:10:27.6888831Z Machine name: 'ip-10-0-11-201' 2022-11-23T01:10:27.6890417Z ##[group]GITHUB_TOKEN Permissions 2022-11-23T01:10:27.6890876Z Actions: write 2022-11-23T01:10:27.6891115Z Checks: write 2022-11-23T01:10:27.6891375Z Contents: write 2022-11-23T01:10:27.6891584Z Deployments: write 2022-11-23T01:10:27.6891851Z Discussions: write 2022-11-23T01:10:27.6892088Z Issues: write 2022-11-23T01:10:27.6892275Z Metadata: read 2022-11-23T01:10:27.6892518Z Packages: write 2022-11-23T01:10:27.6892771Z Pages: write 2022-11-23T01:10:27.6892970Z PullRequests: write 2022-11-23T01:10:27.6893237Z RepositoryProjects: write 2022-11-23T01:10:27.6893538Z SecurityEvents: write 2022-11-23T01:10:27.6893740Z Statuses: write 2022-11-23T01:10:27.6893996Z ##[endgroup] 2022-11-23T01:10:27.6896954Z Secret source: Actions 2022-11-23T01:10:27.6897562Z Prepare workflow directory 2022-11-23T01:10:28.4319209Z Prepare all required actions 2022-11-23T01:10:28.4478395Z Getting action download info 2022-11-23T01:10:28.6702636Z Download action repository 'pytorch/test-infra@main' (SHA:c57ff4d9a93667a5571a80a0e92c3e2674aeedfd) 2022-11-23T01:10:28.9135390Z Download action repository 'pytorch/pytorch@master' (SHA:1cfd3858ac54fe3883534309081631a0a892ba3f) 2022-11-23T01:10:31.3684330Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2022-11-23T01:10:31.6009153Z Getting action download info 2022-11-23T01:10:32.0887766Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076) 2022-11-23T01:10:32.2439092Z Getting action download info 2022-11-23T01:10:32.7628028Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767) 2022-11-23T01:10:32.8893643Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml 2022-11-23T01:10:32.8895359Z ##[group] Inputs 2022-11-23T01:10:32.8895686Z build-environment: linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:10:32.8896968Z test-matrix: { include: [ { config: "default", shard: 1, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" }, { config: "default", shard: 2, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" }, { config: "default", shard: 3, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" }, { config: "default", shard: 4, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" }, { config: "functorch", shard: 1, num_shards: 1, runner: "linux.4xlarge.nvidia.gpu" }, { config: "slow", shard: 1, num_shards: 2, runner: "linux.4xlarge.nvidia.gpu" }, { config: "slow", shard: 2, num_shards: 2, runner: "linux.4xlarge.nvidia.gpu" }, { config: "nogpu_AVX512", shard: 1, num_shards: 1, runner: "linux.2xlarge" }, { config: "nogpu_NO_AVX2", shard: 1, num_shards: 1, runner: "linux.2xlarge" }, { config: "jit_legacy", shard: 1, num_shards: 1, runner: "linux.4xlarge.nvidia.gpu" }, { config: "distributed", shard: 1, num_shards: 3, runner: "linux.8xlarge.nvidia.gpu" }, { config: "distributed", shard: 2, num_shards: 3, runner: "linux.8xlarge.nvidia.gpu" }, { config: "distributed", shard: 3, num_shards: 3, runner: "linux.8xlarge.nvidia.gpu" }, ]} 2022-11-23T01:10:32.8898463Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:10:32.8898856Z sync-tag: 2022-11-23T01:10:32.8899588Z timeout-minutes: 240 2022-11-23T01:10:32.8899824Z ##[endgroup] 2022-11-23T01:10:32.8900312Z Complete job name: linux-bionic-cuda11.7-py3.10-gcc7 / test (nogpu_AVX512, 1, 1, linux.2xlarge) 2022-11-23T01:10:32.9620437Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2022-11-23T01:10:32.9620763Z with: 2022-11-23T01:10:32.9621301Z github-secret: *** 2022-11-23T01:10:32.9621531Z activate-with-label: false 2022-11-23T01:10:32.9621762Z label: with-ssh 2022-11-23T01:10:32.9622110Z remove-existing-keys: true 2022-11-23T01:10:32.9622320Z env: 2022-11-23T01:10:32.9622529Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:10:32.9622753Z ##[endgroup] 2022-11-23T01:10:33.0390525Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2022-11-23T01:10:33.0553738Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master 2022-11-23T01:10:33.0554002Z with: 2022-11-23T01:10:33.0554228Z submodules: recursive 2022-11-23T01:10:33.0554416Z fetch-depth: 0 2022-11-23T01:10:33.0554569Z env: 2022-11-23T01:10:33.0554745Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:10:33.0554933Z ##[endgroup] 2022-11-23T01:10:33.0757146Z ##[group]Run retry () { 2022-11-23T01:10:33.0757409Z retry () { 2022-11-23T01:10:33.0757637Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2022-11-23T01:10:33.0757840Z } 2022-11-23T01:10:33.0758025Z echo "${GITHUB_WORKSPACE}" 2022-11-23T01:10:33.0758254Z if [ -z "${NO_SUDO}" ]; then 2022-11-23T01:10:33.0758465Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2022-11-23T01:10:33.0758667Z else 2022-11-23T01:10:33.0758863Z  retry rm -rf "${GITHUB_WORKSPACE}" 2022-11-23T01:10:33.0759044Z fi 2022-11-23T01:10:33.0759264Z mkdir "${GITHUB_WORKSPACE}" 2022-11-23T01:10:33.0774838Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:10:33.0775078Z env: 2022-11-23T01:10:33.0775258Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:10:33.0775445Z NO_SUDO: 2022-11-23T01:10:33.0775602Z ##[endgroup] 2022-11-23T01:10:33.0866855Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T01:10:39.7084974Z ##[group]Run malfet/checkout@silent-checkout 2022-11-23T01:10:39.7085229Z with: 2022-11-23T01:10:39.7085422Z ref: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:10:39.7085611Z fetch-depth: 0 2022-11-23T01:10:39.7085791Z submodules: recursive 2022-11-23T01:10:39.7085978Z quiet-checkout: true 2022-11-23T01:10:39.7086174Z repository: pytorch/pytorch 2022-11-23T01:10:39.7086467Z token: *** 2022-11-23T01:10:39.7086636Z ssh-strict: true 2022-11-23T01:10:39.7086814Z persist-credentials: true 2022-11-23T01:10:39.7087001Z clean: true 2022-11-23T01:10:39.7087168Z lfs: false 2022-11-23T01:10:39.7087335Z set-safe-directory: true 2022-11-23T01:10:39.7087511Z env: 2022-11-23T01:10:39.7087680Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:10:39.7087850Z ##[endgroup] 2022-11-23T01:10:39.8179591Z Syncing repository: pytorch/pytorch 2022-11-23T01:10:39.8181087Z ##[group]Getting Git version info 2022-11-23T01:10:39.8181510Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2022-11-23T01:10:39.8181955Z [command]/usr/bin/git version 2022-11-23T01:10:39.8182135Z git version 2.37.1 2022-11-23T01:10:39.8182814Z ##[endgroup] 2022-11-23T01:10:39.8193758Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a3c8e063-60c9-464f-adfb-d519b66a0e16' before making global git config changes 2022-11-23T01:10:39.8194187Z Adding repository directory to the temporary git global config as a safe directory 2022-11-23T01:10:39.8197375Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T01:10:39.8234610Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2022-11-23T01:10:39.8238807Z ##[group]Initializing the repository 2022-11-23T01:10:39.8241283Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T01:10:39.8285799Z hint: Using 'master' as the name for the initial branch. This default branch name 2022-11-23T01:10:39.8286182Z hint: is subject to change. To configure the initial branch name to use in all 2022-11-23T01:10:39.8286503Z hint: of your new repositories, which will suppress this warning, call: 2022-11-23T01:10:39.8286730Z hint: 2022-11-23T01:10:39.8286988Z hint: git config --global init.defaultBranch 2022-11-23T01:10:39.8287338Z hint: 2022-11-23T01:10:39.8287622Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2022-11-23T01:10:39.8287992Z hint: 'development'. The just-created branch can be renamed via this command: 2022-11-23T01:10:39.8288323Z hint: 2022-11-23T01:10:39.8288631Z hint: git branch -m 2022-11-23T01:10:39.8288998Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2022-11-23T01:10:39.8295368Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2022-11-23T01:10:39.8324280Z ##[endgroup] 2022-11-23T01:10:39.8324637Z ##[group]Disabling automatic garbage collection 2022-11-23T01:10:39.8327579Z [command]/usr/bin/git config --local gc.auto 0 2022-11-23T01:10:39.8352654Z ##[endgroup] 2022-11-23T01:10:39.8353632Z ##[group]Setting up auth 2022-11-23T01:10:39.8359024Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2022-11-23T01:10:39.8386976Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || : 2022-11-23T01:10:39.8626938Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2022-11-23T01:10:39.8658528Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || : 2022-11-23T01:10:39.8901756Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2022-11-23T01:10:39.8943485Z ##[endgroup] 2022-11-23T01:10:39.8943853Z ##[group]Fetching the repository 2022-11-23T01:10:39.8949880Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2022-11-23T01:11:31.8194284Z [command]/usr/bin/git rev-parse --verify --quiet 1cfd3858ac54fe3883534309081631a0a892ba3f^{object} 2022-11-23T01:11:31.8220113Z 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:11:31.8224675Z ##[endgroup] 2022-11-23T01:11:31.8225201Z ##[group]Determining the checkout info 2022-11-23T01:11:31.8226005Z ##[endgroup] 2022-11-23T01:11:31.8226557Z ##[group]Checking out the ref 2022-11-23T01:11:31.8229342Z [command]/usr/bin/git checkout --quiet --force 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:11:33.0975497Z ##[endgroup] 2022-11-23T01:11:33.0975906Z ##[group]Setting up auth for fetching submodules 2022-11-23T01:11:33.0980884Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2022-11-23T01:11:33.1034627Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2022-11-23T01:11:33.1063237Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2022-11-23T01:11:33.1089759Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2022-11-23T01:11:33.1115421Z ##[endgroup] 2022-11-23T01:11:33.1115770Z ##[group]Fetching submodules 2022-11-23T01:11:33.1119097Z [command]/usr/bin/git submodule sync --recursive 2022-11-23T01:11:33.1379056Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2022-11-23T01:11:33.1630454Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2022-11-23T01:11:33.1631899Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2022-11-23T01:11:33.1632436Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2022-11-23T01:11:33.1634365Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2022-11-23T01:11:33.1636484Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK' 2022-11-23T01:11:33.1638885Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2022-11-23T01:11:33.1641331Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2022-11-23T01:11:33.1643737Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2022-11-23T01:11:33.1646556Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2022-11-23T01:11:33.1649161Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' 2022-11-23T01:11:33.1652014Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2022-11-23T01:11:33.1654798Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2022-11-23T01:11:33.1657737Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2022-11-23T01:11:33.1660909Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2022-11-23T01:11:33.1664011Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2022-11-23T01:11:33.1667237Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2022-11-23T01:11:33.1670603Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi' 2022-11-23T01:11:33.1674128Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2022-11-23T01:11:33.1677663Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2022-11-23T01:11:33.1681546Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2022-11-23T01:11:33.1685545Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2022-11-23T01:11:33.1689459Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake' 2022-11-23T01:11:33.1693480Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2022-11-23T01:11:33.1698090Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2022-11-23T01:11:33.1702344Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2022-11-23T01:11:33.1706610Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse' 2022-11-23T01:11:33.1711135Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2022-11-23T01:11:33.1715781Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2022-11-23T01:11:33.1720350Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt' 2022-11-23T01:11:33.1725504Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2022-11-23T01:11:33.1732036Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2022-11-23T01:11:33.1736604Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2022-11-23T01:11:33.1741675Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2022-11-23T01:11:33.1746697Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2022-11-23T01:11:33.1751940Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum' 2022-11-23T01:11:33.1757137Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2022-11-23T01:11:33.1762605Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six' 2022-11-23T01:11:33.1768177Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2022-11-23T01:11:33.1773834Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb' 2022-11-23T01:11:33.1779611Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2022-11-23T01:11:33.1785383Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd' 2022-11-23T01:11:33.1811282Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2022-11-23T01:11:33.4511689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2022-11-23T01:11:33.6673620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2022-11-23T01:11:33.8890793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2022-11-23T01:11:34.1608911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'... 2022-11-23T01:11:34.4321818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2022-11-23T01:11:36.5352057Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2022-11-23T01:11:42.5622316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2022-11-23T01:11:42.9437464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2022-11-23T01:11:43.4257455Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'... 2022-11-23T01:11:45.0283688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2022-11-23T01:11:46.0961158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2022-11-23T01:11:47.5933860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2022-11-23T01:11:53.1222351Z Cloning into 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'3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2022-11-23T01:12:24.1031817Z Submodule path 'third_party/fbgemm': checked out '4d1738b3142a6cb0c032cd639e239566010b054a' 2022-11-23T01:12:24.1047003Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2022-11-23T01:12:24.1048495Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2022-11-23T01:12:24.1050509Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2022-11-23T01:12:24.1052737Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2022-11-23T01:12:24.1075307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 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path 'third_party/kineto': checked out '6c1629809068efd78a8d56b4aa479c7ec49ae562' 2022-11-23T01:12:44.0035771Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2022-11-23T01:12:44.0037739Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2022-11-23T01:12:44.0060779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2022-11-23T01:12:45.1285195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2022-11-23T01:12:46.2323332Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '2591ab91c3898c9f6544fff04660276537d32ffd' 2022-11-23T01:12:46.2829874Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out 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'a1041190c8b8ff0cd9e2f0752248ad5e3789ea0c' 2022-11-23T01:12:50.7798275Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2022-11-23T01:12:50.7820307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'... 2022-11-23T01:12:50.9938666Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 2022-11-23T01:12:51.0019407Z Submodule path 'third_party/pocketfft': checked out 'ea778e37710c07723435b1be58235996d1d43a5a' 2022-11-23T01:12:51.2349418Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2022-11-23T01:12:51.2368433Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2022-11-23T01:12:51.2370005Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2022-11-23T01:12:51.2392860Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2022-11-23T01:12:51.6241503Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2022-11-23T01:12:52.6270535Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2022-11-23T01:12:52.6899939Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2022-11-23T01:12:52.6979466Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2022-11-23T01:12:52.7076341Z Submodule path 'third_party/pthreadpool': checked out 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2022-11-23T01:12:58.1152435Z Entering 'third_party/ittapi' 2022-11-23T01:12:58.1187154Z Entering 'third_party/kineto' 2022-11-23T01:12:58.1221828Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2022-11-23T01:12:58.1256646Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2022-11-23T01:12:58.1292026Z Entering 'third_party/nccl/nccl' 2022-11-23T01:12:58.1326325Z Entering 'third_party/neon2sse' 2022-11-23T01:12:58.1359984Z Entering 'third_party/nlohmann' 2022-11-23T01:12:58.1395373Z Entering 'third_party/onnx' 2022-11-23T01:12:58.1441956Z Entering 'third_party/onnx/third_party/benchmark' 2022-11-23T01:12:58.1477014Z Entering 'third_party/onnx/third_party/pybind11' 2022-11-23T01:12:58.1513487Z Entering 'third_party/onnx-tensorrt' 2022-11-23T01:12:58.1549511Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2022-11-23T01:12:58.1589133Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2022-11-23T01:12:58.1624064Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2022-11-23T01:12:58.1659189Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2022-11-23T01:12:58.1698297Z Entering 'third_party/pocketfft' 2022-11-23T01:12:58.1733380Z Entering 'third_party/protobuf' 2022-11-23T01:12:58.1771226Z Entering 'third_party/protobuf/third_party/benchmark' 2022-11-23T01:12:58.1805342Z Entering 'third_party/protobuf/third_party/googletest' 2022-11-23T01:12:58.1840768Z Entering 'third_party/psimd' 2022-11-23T01:12:58.1875613Z Entering 'third_party/pthreadpool' 2022-11-23T01:12:58.1909533Z Entering 'third_party/pybind11' 2022-11-23T01:12:58.1944838Z Entering 'third_party/python-enum' 2022-11-23T01:12:58.1978989Z Entering 'third_party/python-peachpy' 2022-11-23T01:12:58.2014157Z Entering 'third_party/python-six' 2022-11-23T01:12:58.2048407Z Entering 'third_party/sleef' 2022-11-23T01:12:58.2083385Z Entering 'third_party/tbb' 2022-11-23T01:12:58.2121469Z Entering 'third_party/tensorpipe' 2022-11-23T01:12:58.2182139Z Entering 'third_party/tensorpipe/third_party/googletest' 2022-11-23T01:12:58.2190786Z Entering 'third_party/tensorpipe/third_party/libnop' 2022-11-23T01:12:58.2224174Z Entering 'third_party/tensorpipe/third_party/libuv' 2022-11-23T01:12:58.2258288Z Entering 'third_party/tensorpipe/third_party/pybind11' 2022-11-23T01:12:58.2298475Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2022-11-23T01:12:58.2331057Z Entering 'third_party/zstd' 2022-11-23T01:12:58.2373623Z ##[endgroup] 2022-11-23T01:12:58.2410949Z [command]/usr/bin/git log -1 --format='%H' 2022-11-23T01:12:58.2436687Z '1cfd3858ac54fe3883534309081631a0a892ba3f' 2022-11-23T01:12:58.2551402Z Prepare all required actions 2022-11-23T01:12:58.2576203Z ##[group]Run ./.github/actions/setup-linux 2022-11-23T01:12:58.2576669Z env: 2022-11-23T01:12:58.2576879Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:58.2577083Z ##[endgroup] 2022-11-23T01:12:58.2591203Z ##[group]Run set -euo pipefail 2022-11-23T01:12:58.2591464Z set -euo pipefail 2022-11-23T01:12:58.2591710Z function get_ec2_metadata() { 2022-11-23T01:12:58.2591991Z  # Pulled from instance metadata endpoint for EC2 2022-11-23T01:12:58.2592378Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2022-11-23T01:12:58.2592697Z  category=$1 2022-11-23T01:12:58.2593167Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2022-11-23T01:12:58.2593437Z } 2022-11-23T01:12:58.2593658Z echo "ami-id: $(get_ec2_metadata ami-id)" 2022-11-23T01:12:58.2593971Z echo "instance-id: $(get_ec2_metadata instance-id)" 2022-11-23T01:12:58.2594280Z echo "instance-type: $(get_ec2_metadata instance-type)" 2022-11-23T01:12:58.2594562Z echo "system info $(uname -a)" 2022-11-23T01:12:58.2606581Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:12:58.2606816Z env: 2022-11-23T01:12:58.2607025Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:58.2607245Z ##[endgroup] 2022-11-23T01:12:58.2683144Z ami-id: ami-096198a0bccc6bad4 2022-11-23T01:12:58.2733338Z instance-id: i-093dd9b3e43ded204 2022-11-23T01:12:58.2781356Z instance-type: c5.2xlarge 2022-11-23T01:12:58.2788314Z system info Linux ip-10-0-11-201.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux 2022-11-23T01:12:58.2803024Z ##[group]Run if systemctl is-active --quiet docker; then 2022-11-23T01:12:58.2803313Z if systemctl is-active --quiet docker; then 2022-11-23T01:12:58.2803559Z  echo "Docker daemon is running..."; 2022-11-23T01:12:58.2803757Z else 2022-11-23T01:12:58.2803991Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2022-11-23T01:12:58.2804218Z fi 2022-11-23T01:12:58.2815358Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:12:58.2815579Z env: 2022-11-23T01:12:58.2815754Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:58.2815930Z ##[endgroup] 2022-11-23T01:12:58.2855165Z Docker daemon is running... 2022-11-23T01:12:58.2870070Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2022-11-23T01:12:58.2870450Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2022-11-23T01:12:58.2870762Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-11-23T01:12:58.2871198Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2022-11-23T01:12:58.2871587Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2022-11-23T01:12:58.2882452Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:12:58.2882700Z env: 2022-11-23T01:12:58.2882908Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:58.2883123Z AWS_RETRY_MODE: standard 2022-11-23T01:12:58.2883350Z AWS_MAX_ATTEMPTS: 5 2022-11-23T01:12:58.2883578Z AWS_DEFAULT_REGION: us-east-1 2022-11-23T01:12:58.2883784Z ##[endgroup] 2022-11-23T01:12:59.7194590Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2022-11-23T01:12:59.7194946Z Configure a credential helper to remove this warning. See 2022-11-23T01:12:59.7195350Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2022-11-23T01:12:59.7195568Z 2022-11-23T01:12:59.7195663Z Login Succeeded 2022-11-23T01:12:59.7222635Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-11-23T01:12:59.7222984Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-11-23T01:12:59.7223396Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-11-23T01:12:59.7234551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:12:59.7234771Z env: 2022-11-23T01:12:59.7234950Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:59.7235127Z ##[endgroup] 2022-11-23T01:12:59.7305531Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2022-11-23T01:12:59.7305776Z with: 2022-11-23T01:12:59.7306129Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:12:59.7306481Z env: 2022-11-23T01:12:59.7306657Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:59.7306836Z ##[endgroup] 2022-11-23T01:12:59.7318291Z ##[group]Run retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-11-23T01:12:59.7318574Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-11-23T01:12:59.7318842Z # ignore output since only exit code is used for conditional 2022-11-23T01:12:59.7319121Z # only pull docker image if it's not available locally 2022-11-23T01:12:59.7319403Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2022-11-23T01:12:59.7319698Z  retry docker pull "${DOCKER_IMAGE}" 2022-11-23T01:12:59.7319893Z fi 2022-11-23T01:12:59.7330645Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:12:59.7330853Z env: 2022-11-23T01:12:59.7331029Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:12:59.7331415Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:12:59.7331778Z ##[endgroup] 2022-11-23T01:13:00.0445601Z 072aae4a77ed7d3a69ad5683420509c41301b940: Pulling from pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7 2022-11-23T01:13:00.0477269Z a404e5416296: Pulling fs layer 2022-11-23T01:13:00.0477588Z 42d021f37342: Pulling fs layer 2022-11-23T01:13:00.0477868Z 9dab8401a678: Pulling fs layer 2022-11-23T01:13:00.0478201Z 2fc72180b8eb: Pulling fs layer 2022-11-23T01:13:00.0478490Z 16e6a4d496ed: Pulling fs layer 2022-11-23T01:13:00.0478778Z 3a4c0b092a9e: Pulling fs layer 2022-11-23T01:13:00.0479068Z d9e19734e968: Pulling fs layer 2022-11-23T01:13:00.0479368Z 8859cc6b3ab7: Pulling fs layer 2022-11-23T01:13:00.0479656Z 1a4b44db2103: Pulling fs layer 2022-11-23T01:13:00.0479934Z fac00e927cfe: Pulling fs layer 2022-11-23T01:13:00.0480154Z 2133f4081ddb: Pulling fs layer 2022-11-23T01:13:00.0480349Z 3ceac802dd07: Pulling fs layer 2022-11-23T01:13:00.0480542Z 69c929400d35: Pulling fs layer 2022-11-23T01:13:00.0480723Z bc2be817cb7e: Pulling fs layer 2022-11-23T01:13:00.0480918Z d04926f1c68d: Pulling fs layer 2022-11-23T01:13:00.0481203Z 91f116f19c0d: Pulling fs layer 2022-11-23T01:13:00.0481384Z a7cf5b3894f8: Pulling fs layer 2022-11-23T01:13:00.0481579Z 722cddd823f9: Pulling fs layer 2022-11-23T01:13:00.0481770Z 3a4c0b092a9e: Waiting 2022-11-23T01:13:00.0481944Z 2e882087d824: Pulling fs layer 2022-11-23T01:13:00.0482136Z ba6235196410: Pulling fs layer 2022-11-23T01:13:00.0482350Z 2133f4081ddb: Waiting 2022-11-23T01:13:00.0482522Z 313c5ee380ab: Pulling fs layer 2022-11-23T01:13:00.0482714Z 6ff0fc00b0a9: Pulling fs layer 2022-11-23T01:13:00.0482914Z 06f043acdbfb: Pulling fs layer 2022-11-23T01:13:00.0483109Z 3ceac802dd07: Waiting 2022-11-23T01:13:00.0483297Z a8c562f6a1cf: Pulling fs layer 2022-11-23T01:13:00.0483490Z 4468cd4f574c: Pulling fs layer 2022-11-23T01:13:00.0483678Z 69c929400d35: Waiting 2022-11-23T01:13:00.0483852Z 8859cc6b3ab7: Waiting 2022-11-23T01:13:00.0484036Z 46e5d3cec398: Pulling fs layer 2022-11-23T01:13:00.0484205Z fac00e927cfe: Waiting 2022-11-23T01:13:00.0484401Z 165006759af3: Pulling fs layer 2022-11-23T01:13:00.0485006Z 2fc72180b8eb: Waiting 2022-11-23T01:13:00.0485255Z 16e6a4d496ed: Waiting 2022-11-23T01:13:00.0485525Z 2c660101e145: Pulling fs layer 2022-11-23T01:13:00.0485887Z bc2be817cb7e: Waiting 2022-11-23T01:13:00.0486072Z 8ce731125a4e: Pulling fs layer 2022-11-23T01:13:00.0486255Z d04926f1c68d: Waiting 2022-11-23T01:13:00.0486453Z 722cddd823f9: Waiting 2022-11-23T01:13:00.0486625Z 102ddcd90753: Pulling fs layer 2022-11-23T01:13:00.0486820Z 0cff5716a932: Pulling fs layer 2022-11-23T01:13:00.0487115Z 313c5ee380ab: Waiting 2022-11-23T01:13:00.0487282Z 2e882087d824: Waiting 2022-11-23T01:13:00.0487465Z 867a6ccb577f: Pulling fs layer 2022-11-23T01:13:00.0487648Z ba6235196410: Waiting 2022-11-23T01:13:00.0487829Z 863c35620b44: Pulling fs layer 2022-11-23T01:13:00.0487996Z 91f116f19c0d: Waiting 2022-11-23T01:13:00.0488168Z 6ff0fc00b0a9: Waiting 2022-11-23T01:13:00.0488352Z f828f00c6d66: Pulling fs layer 2022-11-23T01:13:00.0488519Z 2c660101e145: Waiting 2022-11-23T01:13:00.0488697Z f0fe61569b0b: Pulling fs layer 2022-11-23T01:13:00.0488884Z 06f043acdbfb: Waiting 2022-11-23T01:13:00.0489045Z 8ce731125a4e: Waiting 2022-11-23T01:13:00.0489252Z a9f3d4742233: Pulling fs layer 2022-11-23T01:13:00.0489429Z 46e5d3cec398: Waiting 2022-11-23T01:13:00.0489586Z a8c562f6a1cf: Waiting 2022-11-23T01:13:00.0489765Z 000b6751ea6f: Pulling fs layer 2022-11-23T01:13:00.0489942Z 165006759af3: Waiting 2022-11-23T01:13:00.0490093Z 4468cd4f574c: Waiting 2022-11-23T01:13:00.0490271Z 023a41fa48e6: Pulling fs layer 2022-11-23T01:13:00.0490465Z 081025f05026: Pulling fs layer 2022-11-23T01:13:00.0490643Z 5970defc1d8b: Pulling fs layer 2022-11-23T01:13:00.0490830Z 102ddcd90753: Waiting 2022-11-23T01:13:00.0491001Z f828f00c6d66: Waiting 2022-11-23T01:13:00.0491167Z 7e2d6313145f: Pulling fs layer 2022-11-23T01:13:00.0491348Z f0fe61569b0b: Waiting 2022-11-23T01:13:00.0491517Z 000b6751ea6f: Waiting 2022-11-23T01:13:00.0491668Z a9f3d4742233: Waiting 2022-11-23T01:13:00.0491837Z 0cff5716a932: Waiting 2022-11-23T01:13:00.0492014Z 4b4d66451d67: Pulling fs layer 2022-11-23T01:13:00.0492211Z 75f1ead35ace: Pulling fs layer 2022-11-23T01:13:00.0492379Z 863c35620b44: Waiting 2022-11-23T01:13:00.0492542Z 023a41fa48e6: Waiting 2022-11-23T01:13:00.0492717Z 793c37004dab: Pulling fs layer 2022-11-23T01:13:00.0492883Z 5970defc1d8b: Waiting 2022-11-23T01:13:00.0493046Z 081025f05026: Waiting 2022-11-23T01:13:00.0493205Z 7e2d6313145f: Waiting 2022-11-23T01:13:00.0493367Z 4f1313d71da0: Pulling fs layer 2022-11-23T01:13:00.0493545Z 4b4d66451d67: Waiting 2022-11-23T01:13:00.0493725Z 6386b2adbe28: Pulling fs layer 2022-11-23T01:13:00.0493904Z f21c39caec7a: Pulling fs layer 2022-11-23T01:13:00.0494085Z 4f1313d71da0: Waiting 2022-11-23T01:13:00.0494256Z 75f1ead35ace: Waiting 2022-11-23T01:13:00.0494427Z 2baaae32e3d5: Pulling fs layer 2022-11-23T01:13:00.0494611Z a7cf5b3894f8: Waiting 2022-11-23T01:13:00.0494792Z 128ebe6811c5: Pulling fs layer 2022-11-23T01:13:00.0494970Z 772fa4efddc3: Pulling fs layer 2022-11-23T01:13:00.0495163Z c36ac12376c5: Pulling fs layer 2022-11-23T01:13:00.0495355Z 85cc9b957510: Pulling fs layer 2022-11-23T01:13:00.0495531Z 9ab0826d88b5: Pulling fs layer 2022-11-23T01:13:00.0495713Z 2baaae32e3d5: Waiting 2022-11-23T01:13:00.0495886Z 128ebe6811c5: Waiting 2022-11-23T01:13:00.0496043Z 85cc9b957510: Waiting 2022-11-23T01:13:00.0496210Z 9ab0826d88b5: Waiting 2022-11-23T01:13:00.0496380Z 772fa4efddc3: Waiting 2022-11-23T01:13:00.0496534Z c36ac12376c5: Waiting 2022-11-23T01:13:00.2105616Z 42d021f37342: Verifying Checksum 2022-11-23T01:13:00.2105982Z 42d021f37342: Download complete 2022-11-23T01:13:00.3048896Z 2fc72180b8eb: Verifying Checksum 2022-11-23T01:13:00.3049334Z 2fc72180b8eb: Download complete 2022-11-23T01:13:00.3688581Z a404e5416296: Verifying Checksum 2022-11-23T01:13:00.3688899Z a404e5416296: Download complete 2022-11-23T01:13:00.3860510Z 16e6a4d496ed: Verifying Checksum 2022-11-23T01:13:00.3860922Z 16e6a4d496ed: Download complete 2022-11-23T01:13:00.4464084Z d9e19734e968: Download complete 2022-11-23T01:13:00.5831760Z 9dab8401a678: Verifying Checksum 2022-11-23T01:13:00.5832286Z 9dab8401a678: Download complete 2022-11-23T01:13:00.6918619Z 1a4b44db2103: Verifying Checksum 2022-11-23T01:13:00.6918984Z 1a4b44db2103: Download complete 2022-11-23T01:13:00.7820056Z fac00e927cfe: Verifying Checksum 2022-11-23T01:13:00.7820838Z fac00e927cfe: Download complete 2022-11-23T01:13:01.0406534Z a404e5416296: Pull complete 2022-11-23T01:13:01.2997200Z 42d021f37342: Pull complete 2022-11-23T01:13:02.0856500Z 9dab8401a678: Pull complete 2022-11-23T01:13:02.1763039Z 2fc72180b8eb: Pull complete 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:15:56.2511872Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:15:56.2766146Z ##[group]Run python3 -m pip install psutil==5.9.1 2022-11-23T01:15:56.2766413Z python3 -m pip install psutil==5.9.1 2022-11-23T01:15:56.2766655Z python3 -m pip install pynvml==11.4.1 2022-11-23T01:15:56.2766915Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2022-11-23T01:15:56.2767198Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2022-11-23T01:15:56.6785421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:15:56.6785655Z env: 2022-11-23T01:15:56.6785849Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:15:56.6786025Z ##[endgroup] 2022-11-23T01:16:00.2351023Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:16:00.2937099Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1) 2022-11-23T01:16:00.9441531Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:16:00.9627867Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1) 2022-11-23T01:16:01.1822612Z Prepare all required actions 2022-11-23T01:16:01.1822875Z Getting action download info 2022-11-23T01:16:01.4670602Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea) 2022-11-23T01:16:01.7337850Z Download action repository 'actions/download-artifact@v3' (SHA:9782bd6a9848b53b110e712e20e42d89988822b7) 2022-11-23T01:16:01.8597002Z ##[group]Run ./.github/actions/download-build-artifacts 2022-11-23T01:16:01.8597241Z with: 2022-11-23T01:16:01.8597447Z name: linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:16:01.8597639Z env: 2022-11-23T01:16:01.8597811Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:16:01.8597998Z ##[endgroup] 2022-11-23T01:16:01.8619180Z ##[group]Run seemethere/download-artifact-s3@v4 2022-11-23T01:16:01.8619396Z with: 2022-11-23T01:16:01.8619588Z name: linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:16:01.8619815Z s3-bucket: gha-artifacts 2022-11-23T01:16:01.8620006Z region: us-east-1 2022-11-23T01:16:01.8620195Z env: 2022-11-23T01:16:01.8620366Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:16:01.8620538Z ##[endgroup] 2022-11-23T01:16:02.6093511Z Found 1 objects with prefix pytorch/pytorch/3528293554/linux-bionic-cuda11.7-py3.10-gcc7/ 2022-11-23T01:16:02.6093996Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2022-11-23T01:16:08.9567574Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2022-11-23T01:16:08.9567996Z 2022-11-23T01:16:08.9585499Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-11-23T01:16:08.9595370Z Artifact download has finished successfully 2022-11-23T01:16:08.9725537Z ##[group]Run unzip -o artifacts.zip 2022-11-23T01:16:08.9725772Z unzip -o artifacts.zip 2022-11-23T01:16:08.9736905Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:16:08.9737111Z env: 2022-11-23T01:16:08.9737287Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:16:08.9737473Z ##[endgroup] 2022-11-23T01:16:09.0070667Z Archive: artifacts.zip 2022-11-23T01:16:09.0071565Z creating: dist/ 2022-11-23T01:16:10.6098393Z inflating: dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl 2022-11-23T01:16:10.6098812Z creating: build/custom_test_artifacts/ 2022-11-23T01:16:10.6099378Z creating: build/custom_test_artifacts/custom-op-build/ 2022-11-23T01:16:10.6099718Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 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inflating: build/bin/cuda_cudnn_test 2022-11-23T01:16:17.2589462Z inflating: build/bin/cuda_vectorized_test 2022-11-23T01:16:17.2603156Z inflating: build/bin/tutorial_tensorexpr 2022-11-23T01:16:17.2658456Z inflating: build/bin/ProcessGroupGlooTest 2022-11-23T01:16:17.2707280Z inflating: build/bin/ProcessGroupGlooAsyncTest 2022-11-23T01:16:17.2759187Z inflating: build/bin/ProcessGroupNCCLTest 2022-11-23T01:16:17.2808478Z inflating: build/bin/ProcessGroupNCCLErrorsTest 2022-11-23T01:16:17.2852866Z inflating: build/bin/ProcessGroupUCCTest 2022-11-23T01:16:17.2898026Z inflating: build/bin/test_dist_autograd 2022-11-23T01:16:17.2956810Z inflating: build/bin/test_cpp_rpc 2022-11-23T01:16:17.2958912Z inflating: build/bin/parallel_benchmark 2022-11-23T01:16:17.3017266Z inflating: build/bin/test_mobile_nnc 2022-11-23T01:16:17.3025889Z inflating: build/bin/aot_model_compiler_test 2022-11-23T01:16:17.3740155Z inflating: build/bin/test_tensorexpr 2022-11-23T01:16:17.4040478Z inflating: build/bin/test_lazy 2022-11-23T01:16:17.4045050Z inflating: build/bin/torch_shm_manager 2022-11-23T01:16:17.5078603Z inflating: build/bin/test_api 2022-11-23T01:16:17.6024690Z inflating: build/bin/test_jit 2022-11-23T01:16:17.6027006Z inflating: .pytorch-test-times.json 2022-11-23T01:16:17.6054376Z ##[group]Run df -H 2022-11-23T01:16:17.6054573Z df -H 2022-11-23T01:16:17.6065781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:16:17.6065986Z env: 2022-11-23T01:16:17.6066162Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:16:17.6066350Z ##[endgroup] 2022-11-23T01:16:17.6109058Z Filesystem Size Used Avail Use% Mounted on 2022-11-23T01:16:17.6109328Z devtmpfs 8.2G 0 8.2G 0% /dev 2022-11-23T01:16:17.6109548Z tmpfs 8.2G 15M 8.2G 1% /dev/shm 2022-11-23T01:16:17.6109743Z tmpfs 8.2G 431k 8.2G 1% /run 2022-11-23T01:16:17.6110206Z tmpfs 8.2G 0 8.2G 0% /sys/fs/cgroup 2022-11-23T01:16:17.6110590Z /dev/nvme0n1p1 162G 27G 135G 17% / 2022-11-23T01:16:17.6128352Z ##[group]Run .github/scripts/parse_ref.py 2022-11-23T01:16:17.6128582Z .github/scripts/parse_ref.py 2022-11-23T01:16:17.6138792Z shell: /usr/bin/bash -e {0} 2022-11-23T01:16:17.6138977Z env: 2022-11-23T01:16:17.6139137Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:16:17.6139328Z ##[endgroup] 2022-11-23T01:16:17.6389477Z ##[group]Run set -x 2022-11-23T01:16:17.6389747Z set -x 2022-11-23T01:16:17.6389911Z  2022-11-23T01:16:17.6390096Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2022-11-23T01:16:17.6390350Z  TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh 2022-11-23T01:16:17.6390609Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2022-11-23T01:16:17.6390833Z  TEST_COMMAND=.jenkins/caffe2/test.sh 2022-11-23T01:16:17.6391031Z else 2022-11-23T01:16:17.6391236Z  TEST_COMMAND=.jenkins/pytorch/test.sh 2022-11-23T01:16:17.6391436Z fi 2022-11-23T01:16:17.6391580Z  2022-11-23T01:16:17.6391815Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}") 2022-11-23T01:16:17.6392126Z  2022-11-23T01:16:17.6392329Z # sanitize the input commit message and PR body here: 2022-11-23T01:16:17.6392541Z # 2022-11-23T01:16:17.6392826Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment 2022-11-23T01:16:17.6393192Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028 2022-11-23T01:16:17.6393508Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}" 2022-11-23T01:16:17.6393738Z PR_BODY="${PR_BODY//[$'\n\r']}" 2022-11-23T01:16:17.6393909Z  2022-11-23T01:16:17.6394168Z # then trim all special characters like single and double quotes to avoid unescaped inputs to 2022-11-23T01:16:17.6394444Z # wreak havoc internally 2022-11-23T01:16:17.6394681Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}" 2022-11-23T01:16:17.6394909Z export PR_BODY="${PR_BODY//[\'\"]}" 2022-11-23T01:16:17.6395095Z  2022-11-23T01:16:17.6395324Z # detached container should get cleaned up by teardown_ec2_linux 2022-11-23T01:16:17.6395601Z # TODO: Stop building test binaries as part of the build phase 2022-11-23T01:16:17.6395875Z # Used for GPU_FLAG since that doesn't play nice 2022-11-23T01:16:17.6396115Z # shellcheck disable=SC2086,SC2090 2022-11-23T01:16:17.6396333Z container_name=$(docker run \ 2022-11-23T01:16:17.6396518Z  ${GPU_FLAG:-} \ 2022-11-23T01:16:17.6396713Z  -e BUILD_ENVIRONMENT \ 2022-11-23T01:16:17.6396910Z  -e PR_NUMBER \ 2022-11-23T01:16:17.6397092Z  -e GITHUB_ACTIONS \ 2022-11-23T01:16:17.6397280Z  -e BASE_SHA \ 2022-11-23T01:16:17.6397459Z  -e BRANCH \ 2022-11-23T01:16:17.6397619Z  -e SHA1 \ 2022-11-23T01:16:17.6397808Z  -e AWS_DEFAULT_REGION \ 2022-11-23T01:16:17.6398003Z  -e IN_WHEEL_TEST \ 2022-11-23T01:16:17.6398180Z  -e SHARD_NUMBER \ 2022-11-23T01:16:17.6398370Z  -e TEST_CONFIG \ 2022-11-23T01:16:17.6398560Z  -e NUM_TEST_SHARDS \ 2022-11-23T01:16:17.6398735Z  -e PR_BODY \ 2022-11-23T01:16:17.6398927Z  -e COMMIT_MESSAGES \ 2022-11-23T01:16:17.6399138Z  -e PYTORCH_RETRY_TEST_CASES \ 2022-11-23T01:16:17.6399353Z  -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \ 2022-11-23T01:16:17.6399563Z  -e PR_LABELS \ 2022-11-23T01:16:17.6399773Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2022-11-23T01:16:17.6399983Z  -e SCCACHE_BUCKET \ 2022-11-23T01:16:17.6400172Z  -e SCCACHE_S3_KEY_PREFIX \ 2022-11-23T01:16:17.6400364Z  -e XLA_CUDA \ 2022-11-23T01:16:17.6400569Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2022-11-23T01:16:17.6400786Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2022-11-23T01:16:17.6401140Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2022-11-23T01:16:17.6401395Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2022-11-23T01:16:17.6401619Z  --ulimit stack=10485760:83886080 \ 2022-11-23T01:16:17.6401845Z  --security-opt seccomp=unconfined \ 2022-11-23T01:16:17.6402120Z  --cap-add=SYS_PTRACE \ 2022-11-23T01:16:17.6402313Z  --ipc=host \ 2022-11-23T01:16:17.6402491Z  --shm-size="${SHM_SIZE}" \ 2022-11-23T01:16:17.6402678Z  --tty \ 2022-11-23T01:16:17.6402847Z  --detach \ 2022-11-23T01:16:17.6403026Z  --name="${container_name}" \ 2022-11-23T01:16:17.6403223Z  --user jenkins \ 2022-11-23T01:16:17.6403453Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2022-11-23T01:16:17.6403689Z  -w /var/lib/jenkins/workspace \ 2022-11-23T01:16:17.6403892Z  "${DOCKER_IMAGE}" 2022-11-23T01:16:17.6404065Z ) 2022-11-23T01:16:17.6404270Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2022-11-23T01:16:17.6404599Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2022-11-23T01:16:17.6415894Z shell: /usr/bin/bash -e {0} 2022-11-23T01:16:17.6416062Z env: 2022-11-23T01:16:17.6416243Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:16:17.6416497Z BUILD_ENVIRONMENT: linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:16:17.6416728Z PR_NUMBER: 2022-11-23T01:16:17.6416885Z BRANCH: master 2022-11-23T01:16:17.6417087Z SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:16:17.6417317Z BASE_SHA: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:16:17.6417520Z PYTORCH_RETRY_TEST_CASES: 1 2022-11-23T01:16:17.6417726Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2022-11-23T01:16:17.6417927Z TEST_CONFIG: nogpu_AVX512 2022-11-23T01:16:17.6418099Z SHARD_NUMBER: 1 2022-11-23T01:16:17.6418271Z NUM_TEST_SHARDS: 1 2022-11-23T01:16:17.6418439Z PR_BODY: 2022-11-23T01:16:17.6418649Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2022-11-23T01:16:17.6418887Z SCCACHE_S3_KEY_PREFIX: trunk 2022-11-23T01:16:17.6419072Z SHM_SIZE: 2g 2022-11-23T01:16:17.6419426Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:16:17.6419781Z XLA_CUDA: 2022-11-23T01:16:17.6420038Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2022-11-23T01:16:17.6420318Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2022-11-23T01:16:17.6420524Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2022-11-23T01:16:17.6420719Z ##[endgroup] 2022-11-23T01:16:17.6445628Z + [[ nogpu_AVX512 == \m\u\l\t\i\g\p\u ]] 2022-11-23T01:16:17.6446274Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *onnx* ]] 2022-11-23T01:16:17.6446628Z + TEST_COMMAND=.jenkins/pytorch/test.sh 2022-11-23T01:16:17.6448768Z ++ git cherry -v origin/master 2022-11-23T01:16:17.7032817Z + COMMIT_MESSAGES= 2022-11-23T01:16:17.7033166Z + COMMIT_MESSAGES= 2022-11-23T01:16:17.7033492Z + PR_BODY= 2022-11-23T01:16:17.7033823Z + export COMMIT_MESSAGES= 2022-11-23T01:16:17.7034038Z + COMMIT_MESSAGES= 2022-11-23T01:16:17.7034210Z + export PR_BODY= 2022-11-23T01:16:17.7034375Z + PR_BODY= 2022-11-23T01:16:17.7041735Z +++ nproc --ignore=2 2022-11-23T01:16:17.7085844Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3528293554 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:16:28.2949962Z + container_name=3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:16:28.2950468Z + echo DOCKER_CONTAINER_ID=3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:16:28.2953075Z ++ echo dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl 2022-11-23T01:16:28.2954604Z + docker exec -t 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 sh -c 'pip install dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh' 2022-11-23T01:16:28.8695177Z Processing ./dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl 2022-11-23T01:16:29.5798360Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (4.4.0) 2022-11-23T01:16:29.5801066Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (1.11.1) 2022-11-23T01:16:29.5804171Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (2.6.3) 2022-11-23T01:16:29.5816669Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (3.3.0) 2022-11-23T01:16:29.5869866Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==1.14.0a0+git1cfd385) (1.21.2) 2022-11-23T01:16:29.6015003Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==1.14.0a0+git1cfd385) (1.2.1) 2022-11-23T01:16:30.2267766Z Installing collected packages: torch 2022-11-23T01:16:37.2843647Z Successfully installed torch-1.14.0a0+git1cfd385 2022-11-23T01:16:37.3604459Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2022-11-23T01:16:37.3767837Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch 2022-11-23T01:16:37.3768495Z + TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:16:37.3769009Z + TORCH_LIB_DIR=/opt/conda/lib/python3.10/site-packages/torch/lib 2022-11-23T01:16:37.3771547Z + TORCH_TEST_DIR=/opt/conda/lib/python3.10/site-packages/torch/test 2022-11-23T01:16:37.3772087Z + BUILD_DIR=build 2022-11-23T01:16:37.3772506Z + BUILD_RENAMED_DIR=build_renamed 2022-11-23T01:16:37.3772716Z + BUILD_BIN_DIR=build/bin 2022-11-23T01:16:37.3792116Z + export VALGRIND=ON 2022-11-23T01:16:37.3792603Z + VALGRIND=ON 2022-11-23T01:16:37.3793255Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *clang9* ]] 2022-11-23T01:16:37.3794188Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *bazel* ]] 2022-11-23T01:16:37.3794573Z ++ realpath build/custom_test_artifacts 2022-11-23T01:16:37.3812914Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2022-11-23T01:16:37.3815315Z ++ dirname .jenkins/pytorch/test.sh 2022-11-23T01:16:37.3848571Z + source .jenkins/pytorch/common.sh 2022-11-23T01:16:37.3854225Z +++ dirname .jenkins/pytorch/common.sh 2022-11-23T01:16:37.3862841Z ++ source .jenkins/pytorch/common_utils.sh 2022-11-23T01:16:37.3867761Z +++ declare -f -t trap_add 2022-11-23T01:16:37.3872649Z ++ set -ex 2022-11-23T01:16:37.3873101Z ++ [[ linux-bionic-cuda11.7-py3.10-gcc7 == *rocm* ]] 2022-11-23T01:16:37.3873504Z ++ BUILD_TEST_LIBTORCH=0 2022-11-23T01:16:37.3873938Z + echo 'Environment variables' 2022-11-23T01:16:37.3874290Z Environment variables 2022-11-23T01:16:37.3874457Z + env 2022-11-23T01:16:37.3896650Z SHARD_NUMBER=1 2022-11-23T01:16:37.3897448Z NV_LIBCUBLAS_DEV_VERSION=11.10.1.25-1 2022-11-23T01:16:37.3897873Z NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7 2022-11-23T01:16:37.3898258Z LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 2022-11-23T01:16:37.3898728Z NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7 2022-11-23T01:16:37.3898991Z UCC_HOME=/usr 2022-11-23T01:16:37.3899427Z BUILD_ENVIRONMENT=linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:16:37.3899727Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2022-11-23T01:16:37.3900165Z NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.3.21-1 2022-11-23T01:16:37.3900513Z INSTALLED_DB=yes 2022-11-23T01:16:37.3901030Z HOSTNAME=3951fdeb4235 2022-11-23T01:16:37.3901349Z GITHUB_REF_NAME=master 2022-11-23T01:16:37.3901710Z GITHUB_API_URL=https://api.github.com 2022-11-23T01:16:37.3902043Z OPENSSL_DIR=/opt/openssl 2022-11-23T01:16:37.3902412Z UCC_COMMIT=1c7a7127186e7836f73aafbd7697bbc274a77eee 2022-11-23T01:16:37.3903111Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_4263f67c-ccbb-44dd-90ba-cb7e2ac51b14 2022-11-23T01:16:37.3903430Z CUDA_PATH=/usr/local/cuda 2022-11-23T01:16:37.3903801Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2022-11-23T01:16:37.3904074Z GITHUB_RUN_ATTEMPT=1 2022-11-23T01:16:37.3904250Z TEST_CONFIG=nogpu_AVX512 2022-11-23T01:16:37.3904698Z NV_LIBNPP_VERSION=11.7.3.21-1 2022-11-23T01:16:37.3905198Z NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1 2022-11-23T01:16:37.3905419Z GITHUB_REPOSITORY_OWNER=pytorch 2022-11-23T01:16:37.3905616Z GITHUB_ACTIONS=true 2022-11-23T01:16:37.3905811Z NVIDIA_VISIBLE_DEVICES=all 2022-11-23T01:16:37.3906012Z NV_NVPROF_VERSION=11.7.50-1 2022-11-23T01:16:37.3906239Z NV_LIBCUSPARSE_VERSION=11.7.3.50-1 2022-11-23T01:16:37.3909871Z CI=true 2022-11-23T01:16:37.3910121Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1 2022-11-23T01:16:37.3911715Z NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1 2022-11-23T01:16:37.3912090Z BRANCH=master 2022-11-23T01:16:37.3912464Z GITHUB_HEAD_REF= 2022-11-23T01:16:37.3912880Z UCX_COMMIT=31e74cac7bee0ef66bef2af72e7d86d9c282e5ab 2022-11-23T01:16:37.3913301Z GITHUB_ACTOR=pytorchmergebot 2022-11-23T01:16:37.3913734Z CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache 2022-11-23T01:16:37.3914123Z GITHUB_ACTION_REF= 2022-11-23T01:16:37.3914455Z NCCL_VERSION=2.13.4-1 2022-11-23T01:16:37.3914781Z GITHUB_ACTION=__self 2022-11-23T01:16:37.3915100Z VALGRIND=ON 2022-11-23T01:16:37.3915347Z GITHUB_REF_PROTECTED=true 2022-11-23T01:16:37.3915683Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2022-11-23T01:16:37.3915973Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2022-11-23T01:16:37.3916433Z *** 2022-11-23T01:16:37.3916586Z INSTALLED_VISION=yes 2022-11-23T01:16:37.3916760Z NVARCH=x86_64 2022-11-23T01:16:37.3916976Z NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1 2022-11-23T01:16:37.3917163Z HOME=/var/lib/jenkins 2022-11-23T01:16:37.3917570Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_4263f67c-ccbb-44dd-90ba-cb7e2ac51b14 2022-11-23T01:16:37.3917880Z CARGO_NET_GIT_FETCH_WITH_CLI=true 2022-11-23T01:16:37.3918072Z GITHUB_ACTION_REPOSITORY= 2022-11-23T01:16:37.3918266Z GITHUB_REF_TYPE=branch 2022-11-23T01:16:37.3918490Z NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1 2022-11-23T01:16:37.3918682Z GITHUB_RETENTION_DAYS=90 2022-11-23T01:16:37.3918963Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2022-11-23T01:16:37.3919269Z NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7 2022-11-23T01:16:37.3919678Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_4263f67c-ccbb-44dd-90ba-cb7e2ac51b14 2022-11-23T01:16:37.3919985Z DEBIAN_FRONTEND=noninteractive 2022-11-23T01:16:37.3920245Z NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 2022-11-23T01:16:37.3920456Z GITHUB_REF=refs/heads/master 2022-11-23T01:16:37.3920659Z NV_CUDA_LIB_VERSION=11.7.0-1 2022-11-23T01:16:37.3920980Z GITHUB_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:16:37.3921200Z INSTALLED_PROTOBUF=yes 2022-11-23T01:16:37.3921376Z GITHUB_RUN_ID=3528293554 2022-11-23T01:16:37.3921629Z NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1 2022-11-23T01:16:37.3921850Z NV_LIBNCCL_PACKAGE_NAME=libnccl2 2022-11-23T01:16:37.3922052Z LIBRARY_PATH=/usr/local/cuda/lib64/stubs 2022-11-23T01:16:37.3922275Z NV_NVTX_VERSION=11.7.50-1 2022-11-23T01:16:37.3922491Z GITHUB_SERVER_URL=https://github.com 2022-11-23T01:16:37.3922677Z MAX_JOBS=6 2022-11-23T01:16:37.3922880Z NV_LIBCUBLAS_VERSION=11.10.1.25-1 2022-11-23T01:16:37.3923156Z NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1 2022-11-23T01:16:37.3923606Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2022-11-23T01:16:37.3923860Z UCX_HOME=/usr 2022-11-23T01:16:37.3924045Z PYTORCH_RETRY_TEST_CASES=1 2022-11-23T01:16:37.3924271Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2022-11-23T01:16:37.3924526Z BASE_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:16:37.3924975Z NV_CUDA_CUDART_DEV_VERSION=11.7.60-1 2022-11-23T01:16:37.3925248Z PR_BODY= 2022-11-23T01:16:37.3925490Z GITHUB_BASE_REF= 2022-11-23T01:16:37.3925794Z TERM=xterm 2022-11-23T01:16:37.3926019Z XLA_CUDA= 2022-11-23T01:16:37.3926342Z NV_NVML_DEV_VERSION=11.7.50-1 2022-11-23T01:16:37.3926644Z TORCH_CUDA_ARCH_LIST=Maxwell 2022-11-23T01:16:37.3926953Z CUDA_VERSION=11.7.0 2022-11-23T01:16:37.3927422Z NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7 2022-11-23T01:16:37.3927843Z OPENSSL_ROOT_DIR=/opt/openssl 2022-11-23T01:16:37.3928566Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_4263f67c-ccbb-44dd-90ba-cb7e2ac51b14 2022-11-23T01:16:37.3928844Z GITHUB_JOB=test 2022-11-23T01:16:37.3929033Z SCCACHE_S3_KEY_PREFIX=trunk 2022-11-23T01:16:37.3929219Z COMMIT_MESSAGES= 2022-11-23T01:16:37.3929419Z NVIDIA_DRIVER_CAPABILITIES=compute,utility 2022-11-23T01:16:37.3929627Z NUM_TEST_SHARDS=1 2022-11-23T01:16:37.3929906Z PR_NUMBER= 2022-11-23T01:16:37.3930286Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_4263f67c-ccbb-44dd-90ba-cb7e2ac51b14 2022-11-23T01:16:37.3930574Z SHLVL=1 2022-11-23T01:16:37.3930826Z NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7 2022-11-23T01:16:37.3931067Z GITHUB_REPOSITORY=pytorch/pytorch 2022-11-23T01:16:37.3931924Z NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 2022-11-23T01:16:37.3932849Z NV_LIBNPP_DEV_VERSION=11.7.3.21-1 2022-11-23T01:16:37.3933058Z SHA1=1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:16:37.3933269Z GITHUB_EVENT_NAME=push 2022-11-23T01:16:37.3933487Z NV_CUDA_CUDART_VERSION=11.7.60-1 2022-11-23T01:16:37.3933777Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2022-11-23T01:16:37.3933986Z GITHUB_RUN_NUMBER=18336 2022-11-23T01:16:37.3934175Z GITHUB_WORKFLOW=trunk 2022-11-23T01:16:37.3934480Z PATH=/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-11-23T01:16:37.3934800Z NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1 2022-11-23T01:16:37.3935130Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T01:16:37.3935403Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2022-11-23T01:16:37.3935591Z _=/usr/bin/env 2022-11-23T01:16:37.3935800Z + echo 'Testing pytorch' 2022-11-23T01:16:37.3935988Z Testing pytorch 2022-11-23T01:16:37.3936169Z + export LANG=C.UTF-8 2022-11-23T01:16:37.3936357Z + LANG=C.UTF-8 2022-11-23T01:16:37.3988523Z + PR_NUMBER= 2022-11-23T01:16:37.3988816Z + [[ nogpu_AVX512 == \d\e\f\a\u\l\t ]] 2022-11-23T01:16:37.3989138Z + [[ nogpu_AVX512 == \d\i\s\t\r\i\b\u\t\e\d ]] 2022-11-23T01:16:37.3989515Z + [[ nogpu_AVX512 == \s\l\o\w ]] 2022-11-23T01:16:37.3990024Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *slow-gradcheck* ]] 2022-11-23T01:16:37.3990437Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]] 2022-11-23T01:16:37.3990804Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2022-11-23T01:16:37.3991109Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2022-11-23T01:16:37.3991493Z + [[ nogpu_AVX512 == *crossref* ]] 2022-11-23T01:16:37.3991960Z + [[ nogpu_AVX512 == *dynamo* ]] 2022-11-23T01:16:37.3992162Z + [[ nogpu_AVX512 == *inductor* ]] 2022-11-23T01:16:37.3992440Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *rocm* ]] 2022-11-23T01:16:37.3992764Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *-bazel-* ]] 2022-11-23T01:16:37.3993047Z + pip_install --user ninja==1.10.2 2022-11-23T01:16:37.3993338Z + pip install --progress-bar off --user ninja==1.10.2 2022-11-23T01:16:37.8137938Z Collecting ninja==1.10.2 2022-11-23T01:16:37.8319861Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2022-11-23T01:16:38.4164164Z Installing collected packages: ninja 2022-11-23T01:16:38.4238046Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2022-11-23T01:16:38.4238782Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2022-11-23T01:16:38.4283845Z Successfully installed ninja-1.10.2 2022-11-23T01:16:38.5029521Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-11-23T01:16:38.5030036Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-11-23T01:16:38.5031390Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *asan* ]] 2022-11-23T01:16:38.5031819Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-tsan* ]] 2022-11-23T01:16:38.5032114Z + [[ nogpu_AVX512 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2022-11-23T01:16:38.5032355Z + [[ nogpu_AVX512 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2022-11-23T01:16:38.5032586Z + export ATEN_CPU_CAPABILITY=avx2 2022-11-23T01:16:38.5032808Z + ATEN_CPU_CAPABILITY=avx2 2022-11-23T01:16:38.5036833Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *tbb* ]] 2022-11-23T01:16:38.5049366Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *libtorch* ]] 2022-11-23T01:16:38.5049804Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-bazel-* ]] 2022-11-23T01:16:38.5050120Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-tsan* ]] 2022-11-23T01:16:38.5052234Z + cd test 2022-11-23T01:16:38.5064782Z + python -c 'import torch; print(torch.__config__.show())' 2022-11-23T01:16:40.0898161Z PyTorch built with: 2022-11-23T01:16:40.0898655Z - GCC 7.5 2022-11-23T01:16:40.0898991Z - C++ Version: 201402 2022-11-23T01:16:40.0899681Z - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications 2022-11-23T01:16:40.0900100Z - Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289) 2022-11-23T01:16:40.0900391Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2022-11-23T01:16:40.0900664Z - LAPACK is enabled (usually provided by MKL) 2022-11-23T01:16:40.0900986Z - NNPACK is enabled 2022-11-23T01:16:40.0901216Z - CPU capability usage: AVX2 2022-11-23T01:16:40.0903862Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Werror -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=1.14.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 2022-11-23T01:16:40.0905586Z 2022-11-23T01:16:40.6809570Z + cd test 2022-11-23T01:16:40.6810033Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2022-11-23T01:16:41.8534177Z ATen/Parallel: 2022-11-23T01:16:41.8555013Z at::get_num_threads() : 4 2022-11-23T01:16:41.8555572Z at::get_num_interop_threads() : 4 2022-11-23T01:16:41.8556105Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2022-11-23T01:16:41.8556569Z omp_get_max_threads() : 4 2022-11-23T01:16:41.8557564Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications 2022-11-23T01:16:41.8558224Z mkl_get_max_threads() : 4 2022-11-23T01:16:41.8559273Z Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289) 2022-11-23T01:16:41.8559864Z std::thread::hardware_concurrency() : 8 2022-11-23T01:16:41.8560373Z Environment variables: 2022-11-23T01:16:41.8560929Z OMP_NUM_THREADS : [not set] 2022-11-23T01:16:41.8561383Z MKL_NUM_THREADS : [not set] 2022-11-23T01:16:41.8561869Z ATen parallel backend: OpenMP 2022-11-23T01:16:41.8562168Z 2022-11-23T01:16:42.1003146Z + [[ nogpu_AVX512 == *backward* ]] 2022-11-23T01:16:42.1003448Z + [[ nogpu_AVX512 == *xla* ]] 2022-11-23T01:16:42.1003730Z + [[ nogpu_AVX512 == \j\i\t\_\l\e\g\a\c\y ]] 2022-11-23T01:16:42.1004451Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *libtorch* ]] 2022-11-23T01:16:42.1004974Z + [[ nogpu_AVX512 == distributed ]] 2022-11-23T01:16:42.1005164Z + [[ nogpu_AVX512 == deploy ]] 2022-11-23T01:16:42.1005379Z + [[ nogpu_AVX512 == *inductor_distributed* ]] 2022-11-23T01:16:42.1005595Z + [[ nogpu_AVX512 == *dynamo* ]] 2022-11-23T01:16:42.1005774Z + [[ nogpu_AVX512 == *dynamo* ]] 2022-11-23T01:16:42.1006001Z + [[ nogpu_AVX512 == *inductor_huggingface* ]] 2022-11-23T01:16:42.1006218Z + [[ nogpu_AVX512 == *inductor_timm* ]] 2022-11-23T01:16:42.1006431Z + [[ nogpu_AVX512 == *inductor_torchbench* ]] 2022-11-23T01:16:42.1006641Z + [[ nogpu_AVX512 == *inductor* ]] 2022-11-23T01:16:42.1006819Z + [[ 1 == 1 ]] 2022-11-23T01:16:42.1006998Z + [[ 1 -gt 1 ]] 2022-11-23T01:16:42.1007155Z + [[ 1 == 2 ]] 2022-11-23T01:16:42.1007357Z + [[ 1 -gt 2 ]] 2022-11-23T01:16:42.1007768Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *vulkan* ]] 2022-11-23T01:16:42.1008265Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-bazel-* ]] 2022-11-23T01:16:42.1008791Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-mobile-lightweight-dispatch* ]] 2022-11-23T01:16:42.1009435Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-tsan* ]] 2022-11-23T01:16:42.1009707Z + [[ nogpu_AVX512 = docs_test ]] 2022-11-23T01:16:42.1009908Z + [[ nogpu_AVX512 == *functorch* ]] 2022-11-23T01:16:42.1010103Z + install_torchvision 2022-11-23T01:16:42.1010281Z + local commit 2022-11-23T01:16:42.1010459Z ++ get_pinned_commit vision 2022-11-23T01:16:42.1010669Z ++ cat .github/ci_commit_pins/vision.txt 2022-11-23T01:16:42.1048340Z + commit=4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:16:42.1048895Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:16:42.1049456Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:16:42.4561964Z Collecting git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:16:42.4567284Z Cloning https://github.com/pytorch/vision.git (to revision 4a310f26049371959617921d0eb9b001f4d262c6) to /tmp/pip-req-build-2c7do7_2 2022-11-23T01:16:42.4816297Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-2c7do7_2 2022-11-23T01:16:44.2972897Z Running command git rev-parse -q --verify 'sha^4a310f26049371959617921d0eb9b001f4d262c6' 2022-11-23T01:16:44.2990850Z Running command git fetch -q https://github.com/pytorch/vision.git 4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:16:45.2117336Z Resolved https://github.com/pytorch/vision.git to commit 4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:16:47.2394165Z Preparing metadata (setup.py) ... [?25l- \ done 2022-11-23T01:16:47.2458198Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (4.4.0) 2022-11-23T01:16:47.2462223Z Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (1.21.2) 2022-11-23T01:16:47.2466200Z Requirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (2.27.1) 2022-11-23T01:16:47.2470152Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (1.14.0a0+git1cfd385) 2022-11-23T01:16:47.2478596Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (9.3.0) 2022-11-23T01:16:47.2686221Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (1.26.8) 2022-11-23T01:16:47.2692520Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2022.9.24) 2022-11-23T01:16:47.2705034Z Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2.0.4) 2022-11-23T01:16:47.2716112Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (3.3) 2022-11-23T01:16:47.2759004Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (2.6.3) 2022-11-23T01:16:47.2762722Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (1.11.1) 2022-11-23T01:16:47.3009510Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->torchvision==0.15.0a0+4a310f2) (1.2.1) 2022-11-23T01:16:47.3076223Z Building wheels for collected packages: torchvision 2022-11-23T01:17:55.4302726Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2022-11-23T01:17:55.4648668Z [?25h Created wheel for torchvision: filename=torchvision-0.15.0a0+4a310f2-cp310-cp310-linux_x86_64.whl size=14035831 sha256=fe271c404ac3fba7b3b0581a82b70ba601efe0d9fe8cb78eea720a60ae5057f8 2022-11-23T01:17:55.4650767Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/f3/24/4c/0e1cb34f8a216124e00dbe933c9d8a5521e1e49600c7331113 2022-11-23T01:17:55.4685114Z Successfully built torchvision 2022-11-23T01:17:56.0013380Z Installing collected packages: torchvision 2022-11-23T01:17:56.5695034Z Successfully installed torchvision-0.15.0a0+4a310f2 2022-11-23T01:17:56.6911633Z + install_triton 2022-11-23T01:17:56.6911884Z + local commit 2022-11-23T01:17:56.6912077Z + [[ nogpu_AVX512 == *rocm* ]] 2022-11-23T01:17:56.6914643Z ++ get_pinned_commit triton 2022-11-23T01:17:56.6914976Z ++ cat .github/ci_commit_pins/triton.txt 2022-11-23T01:17:56.6931398Z + commit=0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:17:56.6932311Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python 2022-11-23T01:17:56.6932841Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python 2022-11-23T01:17:57.0429134Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python 2022-11-23T01:17:57.0433888Z Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-uvyk4mof 2022-11-23T01:17:57.0451495Z Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-uvyk4mof 2022-11-23T01:17:57.7240791Z Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331' 2022-11-23T01:17:57.7259173Z Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:17:58.0675710Z Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:17:58.2429085Z Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:17:58.2429882Z Running command git submodule update --init --recursive -q 2022-11-23T01:17:58.7555101Z Preparing metadata (setup.py) ... [?25l- done 2022-11-23T01:17:58.9037751Z [?25hCollecting cmake 2022-11-23T01:17:58.9266417Z Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB) 2022-11-23T01:17:59.2136397Z Collecting filelock 2022-11-23T01:17:59.2183167Z Downloading filelock-3.8.0-py3-none-any.whl (10 kB) 2022-11-23T01:17:59.2223480Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from triton==2.0.0) (1.14.0a0+git1cfd385) 2022-11-23T01:17:59.2401011Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (2.6.3) 2022-11-23T01:17:59.2405054Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (4.4.0) 2022-11-23T01:17:59.2408069Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (1.11.1) 2022-11-23T01:17:59.2552176Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->triton==2.0.0) (1.2.1) 2022-11-23T01:17:59.2601690Z Building wheels for collected packages: triton 2022-11-23T01:18:40.8516761Z Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | done 2022-11-23T01:18:40.8881377Z [?25h Created wheel for triton: filename=triton-2.0.0-cp310-cp310-linux_x86_64.whl size=15377935 sha256=dab8bc122a7b7d0c33609b3d4476f0354d1e126bed9b97a21708ad336ac391c2 2022-11-23T01:18:40.8881936Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/3f/1d/23/1c2bc47d618a44f9c949aea4b7e355e737a1f1ed208f009295 2022-11-23T01:18:40.8897503Z Successfully built triton 2022-11-23T01:18:41.4789555Z Installing collected packages: cmake, filelock, triton 2022-11-23T01:18:42.6178092Z Successfully installed cmake-3.25.0 filelock-3.8.0 triton-2.0.0 2022-11-23T01:18:42.7235356Z + pip_install --user jinja2 2022-11-23T01:18:42.7235689Z + pip install --progress-bar off --user jinja2 2022-11-23T01:18:43.1537159Z Collecting jinja2 2022-11-23T01:18:43.1788533Z Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB) 2022-11-23T01:18:43.2067242Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2) (2.1.1) 2022-11-23T01:18:43.8062501Z Installing collected packages: jinja2 2022-11-23T01:18:43.9419064Z Successfully installed jinja2-3.1.2 2022-11-23T01:18:44.0144173Z + install_monkeytype 2022-11-23T01:18:44.0144468Z + pip_install MonkeyType 2022-11-23T01:18:44.0144859Z + pip install --progress-bar off MonkeyType 2022-11-23T01:18:44.4274546Z Collecting MonkeyType 2022-11-23T01:18:44.4483996Z Downloading MonkeyType-22.2.0-py3-none-any.whl (37 kB) 2022-11-23T01:18:44.4735504Z Requirement already satisfied: mypy-extensions in /opt/conda/lib/python3.10/site-packages (from MonkeyType) (0.4.3) 2022-11-23T01:18:44.5377933Z Collecting libcst>=0.3.7 2022-11-23T01:18:44.5549154Z Downloading libcst-0.4.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB) 2022-11-23T01:18:44.6367296Z Requirement already satisfied: pyyaml>=5.2 in /opt/conda/lib/python3.10/site-packages/PyYAML-6.0-py3.10-linux-x86_64.egg (from libcst>=0.3.7->MonkeyType) (6.0) 2022-11-23T01:18:44.6372977Z Requirement already satisfied: typing-extensions>=3.7.4.2 in /opt/conda/lib/python3.10/site-packages (from libcst>=0.3.7->MonkeyType) (4.4.0) 2022-11-23T01:18:44.6707705Z Collecting typing-inspect>=0.4.0 2022-11-23T01:18:44.6744216Z Downloading typing_inspect-0.8.0-py3-none-any.whl (8.7 kB) 2022-11-23T01:18:45.3015073Z Installing collected packages: typing-inspect, libcst, MonkeyType 2022-11-23T01:18:46.1584748Z Successfully installed MonkeyType-22.2.0 libcst-0.4.9 typing-inspect-0.8.0 2022-11-23T01:18:46.2377807Z + test_python 2022-11-23T01:18:46.2378367Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --verbose 2022-11-23T01:18:47.9725163Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:48.7449695Z Ignoring disabled issues: [] 2022-11-23T01:18:49.1614728Z /var/lib/jenkins/workspace/test/run_test.py:1134: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-11-23T01:18:49.1615411Z if torch.version.cuda is not None and LooseVersion(torch.version.cuda) >= "11.6": 2022-11-23T01:18:49.1651731Z Selected tests: 2022-11-23T01:18:49.1652158Z backends/xeon/test_launch 2022-11-23T01:18:49.1652454Z benchmark_utils/test_benchmark_utils 2022-11-23T01:18:49.1655482Z distributions/test_distributions 2022-11-23T01:18:49.1655854Z dynamo/test_aot_autograd 2022-11-23T01:18:49.1656208Z dynamo/test_aot_cudagraphs 2022-11-23T01:18:49.1656583Z dynamo/test_dynamic_shapes 2022-11-23T01:18:49.1656921Z dynamo/test_export 2022-11-23T01:18:49.1657261Z dynamo/test_export_mutations 2022-11-23T01:18:49.1657567Z dynamo/test_functions 2022-11-23T01:18:49.1657754Z dynamo/test_global 2022-11-23T01:18:49.1660922Z dynamo/test_global_declaration 2022-11-23T01:18:49.1661301Z dynamo/test_minifier 2022-11-23T01:18:49.1661624Z dynamo/test_misc 2022-11-23T01:18:49.1661965Z dynamo/test_model_output 2022-11-23T01:18:49.1662297Z dynamo/test_modules 2022-11-23T01:18:49.1662599Z dynamo/test_no_fake_tensors 2022-11-23T01:18:49.1662787Z dynamo/test_nops 2022-11-23T01:18:49.1662964Z dynamo/test_optimizations 2022-11-23T01:18:49.1663176Z dynamo/test_optimizers 2022-11-23T01:18:49.1663393Z dynamo/test_python_autograd 2022-11-23T01:18:49.1663652Z dynamo/test_recompile_ux 2022-11-23T01:18:49.1663968Z dynamo/test_replay_record 2022-11-23T01:18:49.1664286Z dynamo/test_repros 2022-11-23T01:18:49.1664625Z dynamo/test_skip_non_tensor 2022-11-23T01:18:49.1664968Z dynamo/test_subgraphs 2022-11-23T01:18:49.1665196Z dynamo/test_torchxla_integration 2022-11-23T01:18:49.1665500Z dynamo/test_unspec 2022-11-23T01:18:49.1665782Z dynamo/test_verify_correctness 2022-11-23T01:18:49.1666112Z inductor/test_minifier 2022-11-23T01:18:49.1666411Z inductor/test_perf 2022-11-23T01:18:49.1666772Z inductor/test_smoke 2022-11-23T01:18:49.1667119Z inductor/test_torchinductor 2022-11-23T01:18:49.1667505Z inductor/test_torchinductor_opinfo 2022-11-23T01:18:49.1667878Z lazy/test_bindings 2022-11-23T01:18:49.1668205Z lazy/test_debug_util 2022-11-23T01:18:49.1668555Z lazy/test_extract_compiled_graph 2022-11-23T01:18:49.1668962Z lazy/test_meta_kernel 2022-11-23T01:18:49.1669288Z lazy/test_reuse_ir 2022-11-23T01:18:49.1669604Z lazy/test_step_closures 2022-11-23T01:18:49.1669869Z lazy/test_ts_opinfo 2022-11-23T01:18:49.1670193Z nn/test_convolution 2022-11-23T01:18:49.1670523Z nn/test_dropout 2022-11-23T01:18:49.1670746Z nn/test_embedding 2022-11-23T01:18:49.1670923Z nn/test_lazy_modules 2022-11-23T01:18:49.1671105Z nn/test_module_hooks 2022-11-23T01:18:49.1671277Z nn/test_packed_sequence 2022-11-23T01:18:49.1671463Z nn/test_pooling 2022-11-23T01:18:49.1671656Z profiler/test_memory_profiler 2022-11-23T01:18:49.1671879Z profiler/test_profiler 2022-11-23T01:18:49.1672218Z profiler/test_profiler_tree 2022-11-23T01:18:49.1672554Z test_ao_sparsity 2022-11-23T01:18:49.1672860Z test_autocast 2022-11-23T01:18:49.1673090Z test_autograd 2022-11-23T01:18:49.1673258Z test_binary_ufuncs 2022-11-23T01:18:49.1673436Z test_bundled_inputs 2022-11-23T01:18:49.1673607Z test_comparison_utils 2022-11-23T01:18:49.1673942Z test_complex 2022-11-23T01:18:49.1674123Z test_cpp_api_parity 2022-11-23T01:18:49.1674305Z test_cpp_extensions_aot_ninja 2022-11-23T01:18:49.1674633Z test_cpp_extensions_aot_no_ninja 2022-11-23T01:18:49.1674951Z test_cpp_extensions_jit 2022-11-23T01:18:49.1675292Z test_cpp_extensions_open_device_registration 2022-11-23T01:18:49.1675549Z test_cuda 2022-11-23T01:18:49.1675722Z test_cuda_nvml_based_avail 2022-11-23T01:18:49.1675900Z test_cuda_primary_ctx 2022-11-23T01:18:49.1676084Z test_cuda_sanitizer 2022-11-23T01:18:49.1676257Z test_cuda_trace 2022-11-23T01:18:49.1676414Z test_dataloader 2022-11-23T01:18:49.1676583Z test_datapipe 2022-11-23T01:18:49.1676749Z test_decomp 2022-11-23T01:18:49.1676901Z test_deploy 2022-11-23T01:18:49.1677066Z test_dispatch 2022-11-23T01:18:49.1677361Z test_dlpack 2022-11-23T01:18:49.1677520Z test_dynamic_shapes 2022-11-23T01:18:49.1677721Z test_expanded_weights 2022-11-23T01:18:49.1678028Z test_fake_tensor 2022-11-23T01:18:49.1678253Z test_foreach 2022-11-23T01:18:49.1678503Z test_function_schema 2022-11-23T01:18:49.1678805Z test_functional_autograd_benchmark 2022-11-23T01:18:49.1679112Z test_functional_optim 2022-11-23T01:18:49.1679423Z test_functionalization 2022-11-23T01:18:49.1679729Z test_futures 2022-11-23T01:18:49.1680002Z test_fx 2022-11-23T01:18:49.1680304Z test_fx_experimental 2022-11-23T01:18:49.1680536Z test_fx_passes 2022-11-23T01:18:49.1680782Z test_fx_reinplace_pass 2022-11-23T01:18:49.1680967Z test_hub 2022-11-23T01:18:49.1681136Z test_import_stats 2022-11-23T01:18:49.1681296Z test_indexing 2022-11-23T01:18:49.1681464Z test_itt 2022-11-23T01:18:49.1681622Z test_jit 2022-11-23T01:18:49.1681769Z test_jit_autocast 2022-11-23T01:18:49.1681944Z test_jit_cuda_fuser 2022-11-23T01:18:49.1682119Z test_jit_disabled 2022-11-23T01:18:49.1682281Z test_jit_fuser_te 2022-11-23T01:18:49.1682455Z test_jit_llga_fuser 2022-11-23T01:18:49.1682630Z test_jiterator 2022-11-23T01:18:49.1682785Z test_license 2022-11-23T01:18:49.1682951Z test_linalg 2022-11-23T01:18:49.1683116Z test_logging 2022-11-23T01:18:49.1683355Z test_masked 2022-11-23T01:18:49.1683645Z test_maskedtensor 2022-11-23T01:18:49.1683924Z test_matmul_cuda 2022-11-23T01:18:49.1684184Z test_meta 2022-11-23T01:18:49.1684429Z test_mkl_verbose 2022-11-23T01:18:49.1684595Z test_mkldnn 2022-11-23T01:18:49.1684990Z test_mkldnn_fusion 2022-11-23T01:18:49.1685159Z test_mkldnn_verbose 2022-11-23T01:18:49.1685346Z test_mobile_optimizer 2022-11-23T01:18:49.1685634Z test_model_dump 2022-11-23T01:18:49.1685944Z test_module_init 2022-11-23T01:18:49.1686260Z test_modules 2022-11-23T01:18:49.1686564Z test_monitor 2022-11-23T01:18:49.1686776Z test_multiprocessing 2022-11-23T01:18:49.1686979Z test_multiprocessing_spawn 2022-11-23T01:18:49.1687176Z test_namedtensor 2022-11-23T01:18:49.1687414Z test_namedtuple_return_api 2022-11-23T01:18:49.1687606Z test_native_functions 2022-11-23T01:18:49.1687785Z test_native_mha 2022-11-23T01:18:49.1687944Z test_nestedtensor 2022-11-23T01:18:49.1688115Z test_nn 2022-11-23T01:18:49.1688285Z test_numba_integration 2022-11-23T01:18:49.1688452Z test_numpy_interop 2022-11-23T01:18:49.1688659Z test_nvfuser_dynamo 2022-11-23T01:18:49.1688841Z test_nvfuser_frontend 2022-11-23T01:18:49.1689000Z test_openmp 2022-11-23T01:18:49.1689161Z test_ops 2022-11-23T01:18:49.1689330Z test_ops_fwd_gradients 2022-11-23T01:18:49.1689498Z test_ops_gradients 2022-11-23T01:18:49.1689669Z test_ops_jit 2022-11-23T01:18:49.1689832Z test_optim 2022-11-23T01:18:49.1689985Z test_overrides 2022-11-23T01:18:49.1690153Z test_package 2022-11-23T01:18:49.1690326Z test_per_overload_api 2022-11-23T01:18:49.1690486Z test_prims 2022-11-23T01:18:49.1690654Z test_proxy_tensor 2022-11-23T01:18:49.1690828Z test_pruning_op 2022-11-23T01:18:49.1690992Z test_public_bindings 2022-11-23T01:18:49.1691180Z test_python_dispatch 2022-11-23T01:18:49.1691359Z test_pytree 2022-11-23T01:18:49.1691515Z test_quantization 2022-11-23T01:18:49.1691690Z test_reductions 2022-11-23T01:18:49.1691987Z test_scatter_gather_ops 2022-11-23T01:18:49.1692165Z test_schema_check 2022-11-23T01:18:49.1692344Z test_serialization 2022-11-23T01:18:49.1692548Z test_set_default_mobile_cpu_allocator 2022-11-23T01:18:49.1692732Z test_shape_ops 2022-11-23T01:18:49.1692909Z test_show_pickle 2022-11-23T01:18:49.1693087Z test_sort_and_select 2022-11-23T01:18:49.1693251Z test_sparse 2022-11-23T01:18:49.1693421Z test_sparse_csr 2022-11-23T01:18:49.1693598Z test_spectral_ops 2022-11-23T01:18:49.1693759Z test_stateless 2022-11-23T01:18:49.1693926Z test_subclass 2022-11-23T01:18:49.1694108Z test_tensor_creation_ops 2022-11-23T01:18:49.1694279Z test_tensorboard 2022-11-23T01:18:49.1694452Z test_tensorexpr 2022-11-23T01:18:49.1694634Z test_tensorexpr_pybind 2022-11-23T01:18:49.1694799Z test_testing 2022-11-23T01:18:49.1695017Z test_torch 2022-11-23T01:18:49.1695183Z test_transformers 2022-11-23T01:18:49.1695345Z test_type_hints 2022-11-23T01:18:49.1695518Z test_type_info 2022-11-23T01:18:49.1695693Z test_type_promotion 2022-11-23T01:18:49.1695886Z test_unary_ufuncs 2022-11-23T01:18:49.1696054Z test_utils 2022-11-23T01:18:49.1696219Z test_view_ops 2022-11-23T01:18:49.1696369Z test_vmap 2022-11-23T01:18:49.1696528Z test_vulkan 2022-11-23T01:18:49.1696705Z test_xnnpack_integration 2022-11-23T01:18:49.1696869Z doctests 2022-11-23T01:18:49.1731889Z Prioritized test from test file changes. 2022-11-23T01:18:49.1732294Z reordering tests for PR: 2022-11-23T01:18:49.1732641Z prioritized: [] 2022-11-23T01:18:49.1743482Z the rest: ['backends/xeon/test_launch', 'benchmark_utils/test_benchmark_utils', 'distributions/test_distributions', 'dynamo/test_aot_autograd', 'dynamo/test_aot_cudagraphs', 'dynamo/test_dynamic_shapes', 'dynamo/test_export', 'dynamo/test_export_mutations', 'dynamo/test_functions', 'dynamo/test_global', 'dynamo/test_global_declaration', 'dynamo/test_minifier', 'dynamo/test_misc', 'dynamo/test_model_output', 'dynamo/test_modules', 'dynamo/test_no_fake_tensors', 'dynamo/test_nops', 'dynamo/test_optimizations', 'dynamo/test_optimizers', 'dynamo/test_python_autograd', 'dynamo/test_recompile_ux', 'dynamo/test_replay_record', 'dynamo/test_repros', 'dynamo/test_skip_non_tensor', 'dynamo/test_subgraphs', 'dynamo/test_torchxla_integration', 'dynamo/test_unspec', 'dynamo/test_verify_correctness', 'inductor/test_minifier', 'inductor/test_perf', 'inductor/test_smoke', 'inductor/test_torchinductor', 'inductor/test_torchinductor_opinfo', 'lazy/test_bindings', 'lazy/test_debug_util', 'lazy/test_extract_compiled_graph', 'lazy/test_meta_kernel', 'lazy/test_reuse_ir', 'lazy/test_step_closures', 'lazy/test_ts_opinfo', 'nn/test_convolution', 'nn/test_dropout', 'nn/test_embedding', 'nn/test_lazy_modules', 'nn/test_module_hooks', 'nn/test_packed_sequence', 'nn/test_pooling', 'profiler/test_memory_profiler', 'profiler/test_profiler', 'profiler/test_profiler_tree', 'test_ao_sparsity', 'test_autocast', 'test_autograd', 'test_binary_ufuncs', 'test_bundled_inputs', 'test_comparison_utils', 'test_complex', 'test_cpp_api_parity', 'test_cpp_extensions_aot_ninja', 'test_cpp_extensions_aot_no_ninja', 'test_cpp_extensions_jit', 'test_cpp_extensions_open_device_registration', 'test_cuda', 'test_cuda_nvml_based_avail', 'test_cuda_primary_ctx', 'test_cuda_sanitizer', 'test_cuda_trace', 'test_dataloader', 'test_datapipe', 'test_decomp', 'test_deploy', 'test_dispatch', 'test_dlpack', 'test_dynamic_shapes', 'test_expanded_weights', 'test_fake_tensor', 'test_foreach', 'test_function_schema', 'test_functional_autograd_benchmark', 'test_functional_optim', 'test_functionalization', 'test_futures', 'test_fx', 'test_fx_experimental', 'test_fx_passes', 'test_fx_reinplace_pass', 'test_hub', 'test_import_stats', 'test_indexing', 'test_itt', 'test_jit', 'test_jit_autocast', 'test_jit_cuda_fuser', 'test_jit_disabled', 'test_jit_fuser_te', 'test_jit_llga_fuser', 'test_jiterator', 'test_license', 'test_linalg', 'test_logging', 'test_masked', 'test_maskedtensor', 'test_matmul_cuda', 'test_meta', 'test_mkl_verbose', 'test_mkldnn', 'test_mkldnn_fusion', 'test_mkldnn_verbose', 'test_mobile_optimizer', 'test_model_dump', 'test_module_init', 'test_modules', 'test_monitor', 'test_multiprocessing', 'test_multiprocessing_spawn', 'test_namedtensor', 'test_namedtuple_return_api', 'test_native_functions', 'test_native_mha', 'test_nestedtensor', 'test_nn', 'test_numba_integration', 'test_numpy_interop', 'test_nvfuser_dynamo', 'test_nvfuser_frontend', 'test_openmp', 'test_ops', 'test_ops_fwd_gradients', 'test_ops_gradients', 'test_ops_jit', 'test_optim', 'test_overrides', 'test_package', 'test_per_overload_api', 'test_prims', 'test_proxy_tensor', 'test_pruning_op', 'test_public_bindings', 'test_python_dispatch', 'test_pytree', 'test_quantization', 'test_reductions', 'test_scatter_gather_ops', 'test_schema_check', 'test_serialization', 'test_set_default_mobile_cpu_allocator', 'test_shape_ops', 'test_show_pickle', 'test_sort_and_select', 'test_sparse', 'test_sparse_csr', 'test_spectral_ops', 'test_stateless', 'test_subclass', 'test_tensor_creation_ops', 'test_tensorboard', 'test_tensorexpr', 'test_tensorexpr_pybind', 'test_testing', 'test_torch', 'test_transformers', 'test_type_hints', 'test_type_info', 'test_type_promotion', 'test_unary_ufuncs', 'test_utils', 'test_view_ops', 'test_vmap', 'test_vulkan', 'test_xnnpack_integration', 'doctests'] 2022-11-23T01:18:49.1750389Z 2022-11-23T01:18:49.1751178Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2022-11-23T01:18:49.1934648Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2022-11-23T01:18:49.2076088Z parallel (file granularity) tests: 2022-11-23T01:18:49.2076462Z backends/xeon/test_launch 2022-11-23T01:18:49.2076770Z benchmark_utils/test_benchmark_utils 2022-11-23T01:18:49.2077041Z dynamo/test_aot_autograd 2022-11-23T01:18:49.2077294Z dynamo/test_aot_cudagraphs 2022-11-23T01:18:49.2077595Z dynamo/test_dynamic_shapes 2022-11-23T01:18:49.2077850Z dynamo/test_export 2022-11-23T01:18:49.2078139Z dynamo/test_export_mutations 2022-11-23T01:18:49.2078424Z dynamo/test_functions 2022-11-23T01:18:49.2078681Z dynamo/test_global 2022-11-23T01:18:49.2078985Z dynamo/test_global_declaration 2022-11-23T01:18:49.2079299Z dynamo/test_minifier 2022-11-23T01:18:49.2079537Z dynamo/test_misc 2022-11-23T01:18:49.2079798Z dynamo/test_model_output 2022-11-23T01:18:49.2080055Z dynamo/test_modules 2022-11-23T01:18:49.2080312Z dynamo/test_no_fake_tensors 2022-11-23T01:18:49.2080671Z dynamo/test_nops 2022-11-23T01:18:49.2080863Z dynamo/test_optimizations 2022-11-23T01:18:49.2081048Z dynamo/test_optimizers 2022-11-23T01:18:49.2081242Z dynamo/test_python_autograd 2022-11-23T01:18:49.2081447Z dynamo/test_recompile_ux 2022-11-23T01:18:49.2081629Z dynamo/test_replay_record 2022-11-23T01:18:49.2081817Z dynamo/test_repros 2022-11-23T01:18:49.2082009Z dynamo/test_skip_non_tensor 2022-11-23T01:18:49.2082190Z dynamo/test_subgraphs 2022-11-23T01:18:49.2082391Z dynamo/test_torchxla_integration 2022-11-23T01:18:49.2082584Z dynamo/test_unspec 2022-11-23T01:18:49.2082780Z dynamo/test_verify_correctness 2022-11-23T01:18:49.2082966Z inductor/test_minifier 2022-11-23T01:18:49.2083182Z inductor/test_perf 2022-11-23T01:18:49.2083358Z inductor/test_smoke 2022-11-23T01:18:49.2083534Z inductor/test_torchinductor 2022-11-23T01:18:49.2083723Z lazy/test_bindings 2022-11-23T01:18:49.2083898Z lazy/test_debug_util 2022-11-23T01:18:49.2084081Z lazy/test_extract_compiled_graph 2022-11-23T01:18:49.2084276Z lazy/test_meta_kernel 2022-11-23T01:18:49.2084451Z lazy/test_reuse_ir 2022-11-23T01:18:49.2084620Z lazy/test_step_closures 2022-11-23T01:18:49.2085044Z lazy/test_ts_opinfo 2022-11-23T01:18:49.2085232Z nn/test_convolution 2022-11-23T01:18:49.2085393Z nn/test_dropout 2022-11-23T01:18:49.2085567Z nn/test_embedding 2022-11-23T01:18:49.2085745Z nn/test_lazy_modules 2022-11-23T01:18:49.2086051Z nn/test_module_hooks 2022-11-23T01:18:49.2086243Z nn/test_packed_sequence 2022-11-23T01:18:49.2086447Z profiler/test_memory_profiler 2022-11-23T01:18:49.2086635Z profiler/test_profiler 2022-11-23T01:18:49.2086833Z profiler/test_profiler_tree 2022-11-23T01:18:49.2087024Z test_ao_sparsity 2022-11-23T01:18:49.2087183Z test_autocast 2022-11-23T01:18:49.2087355Z test_binary_ufuncs 2022-11-23T01:18:49.2087538Z test_bundled_inputs 2022-11-23T01:18:49.2087709Z test_comparison_utils 2022-11-23T01:18:49.2087887Z test_complex 2022-11-23T01:18:49.2088056Z test_cuda_sanitizer 2022-11-23T01:18:49.2088216Z test_dataloader 2022-11-23T01:18:49.2088386Z test_datapipe 2022-11-23T01:18:49.2088550Z test_decomp 2022-11-23T01:18:49.2088700Z test_deploy 2022-11-23T01:18:49.2088860Z test_dlpack 2022-11-23T01:18:49.2089081Z test_dynamic_shapes 2022-11-23T01:18:49.2089250Z test_expanded_weights 2022-11-23T01:18:49.2089431Z test_foreach 2022-11-23T01:18:49.2089643Z test_function_schema 2022-11-23T01:18:49.2089856Z test_functional_autograd_benchmark 2022-11-23T01:18:49.2090045Z test_functional_optim 2022-11-23T01:18:49.2090235Z test_functionalization 2022-11-23T01:18:49.2090411Z test_futures 2022-11-23T01:18:49.2090571Z test_fx_experimental 2022-11-23T01:18:49.2090746Z test_fx_passes 2022-11-23T01:18:49.2090947Z test_fx_reinplace_pass 2022-11-23T01:18:49.2091107Z test_hub 2022-11-23T01:18:49.2091268Z test_import_stats 2022-11-23T01:18:49.2091436Z test_itt 2022-11-23T01:18:49.2091575Z test_jit 2022-11-23T01:18:49.2091735Z test_jit_autocast 2022-11-23T01:18:49.2091908Z test_jit_fuser_te 2022-11-23T01:18:49.2092111Z test_jit_llga_fuser 2022-11-23T01:18:49.2092287Z test_jiterator 2022-11-23T01:18:49.2092454Z test_license 2022-11-23T01:18:49.2092605Z test_logging 2022-11-23T01:18:49.2092766Z test_masked 2022-11-23T01:18:49.2092937Z test_maskedtensor 2022-11-23T01:18:49.2093096Z test_matmul_cuda 2022-11-23T01:18:49.2093266Z test_meta 2022-11-23T01:18:49.2093431Z test_mkl_verbose 2022-11-23T01:18:49.2093587Z test_mkldnn 2022-11-23T01:18:49.2093758Z test_mkldnn_fusion 2022-11-23T01:18:49.2093935Z test_mkldnn_verbose 2022-11-23T01:18:49.2094095Z test_model_dump 2022-11-23T01:18:49.2094269Z test_module_init 2022-11-23T01:18:49.2094435Z test_monitor 2022-11-23T01:18:49.2094590Z test_namedtensor 2022-11-23T01:18:49.2094769Z test_native_functions 2022-11-23T01:18:49.2094950Z test_native_mha 2022-11-23T01:18:49.2095110Z test_nestedtensor 2022-11-23T01:18:49.2095291Z test_numba_integration 2022-11-23T01:18:49.2095473Z test_numpy_interop 2022-11-23T01:18:49.2095641Z test_nvfuser_dynamo 2022-11-23T01:18:49.2095823Z test_nvfuser_frontend 2022-11-23T01:18:49.2095996Z test_openmp 2022-11-23T01:18:49.2096147Z test_optim 2022-11-23T01:18:49.2096311Z test_package 2022-11-23T01:18:49.2096487Z test_per_overload_api 2022-11-23T01:18:49.2096656Z test_proxy_tensor 2022-11-23T01:18:49.2096832Z test_pruning_op 2022-11-23T01:18:49.2097009Z test_public_bindings 2022-11-23T01:18:49.2097180Z test_python_dispatch 2022-11-23T01:18:49.2097358Z test_pytree 2022-11-23T01:18:49.2097528Z test_quantization 2022-11-23T01:18:49.2097699Z test_scatter_gather_ops 2022-11-23T01:18:49.2097884Z test_schema_check 2022-11-23T01:18:49.2098058Z test_serialization 2022-11-23T01:18:49.2098244Z test_set_default_mobile_cpu_allocator 2022-11-23T01:18:49.2098445Z test_shape_ops 2022-11-23T01:18:49.2098622Z test_sort_and_select 2022-11-23T01:18:49.2098781Z test_sparse 2022-11-23T01:18:49.2098952Z test_spectral_ops 2022-11-23T01:18:49.2099125Z test_stateless 2022-11-23T01:18:49.2099279Z test_subclass 2022-11-23T01:18:49.2099447Z test_tensorboard 2022-11-23T01:18:49.2099630Z test_tensorexpr_pybind 2022-11-23T01:18:49.2099795Z test_testing 2022-11-23T01:18:49.2099965Z test_transformers 2022-11-23T01:18:49.2100138Z test_type_hints 2022-11-23T01:18:49.2100298Z test_type_info 2022-11-23T01:18:49.2100473Z test_type_promotion 2022-11-23T01:18:49.2100653Z test_unary_ufuncs 2022-11-23T01:18:49.2100807Z test_utils 2022-11-23T01:18:49.2101028Z test_view_ops 2022-11-23T01:18:49.2101198Z test_vmap 2022-11-23T01:18:49.2101345Z test_vulkan 2022-11-23T01:18:49.2101524Z test_xnnpack_integration 2022-11-23T01:18:49.2101727Z serial (file granularity) tests: 2022-11-23T01:18:49.2101929Z distributions/test_distributions 2022-11-23T01:18:49.2102150Z inductor/test_torchinductor_opinfo 2022-11-23T01:18:49.2102346Z nn/test_pooling 2022-11-23T01:18:49.2102503Z test_autograd 2022-11-23T01:18:49.2102677Z test_cpp_api_parity 2022-11-23T01:18:49.2102875Z test_cpp_extensions_aot_ninja 2022-11-23T01:18:49.2103071Z test_cpp_extensions_aot_no_ninja 2022-11-23T01:18:49.2103273Z test_cpp_extensions_jit 2022-11-23T01:18:49.2103497Z test_cpp_extensions_open_device_registration 2022-11-23T01:18:49.2103687Z test_cuda 2022-11-23T01:18:49.2103861Z test_cuda_nvml_based_avail 2022-11-23T01:18:49.2104088Z test_cuda_primary_ctx 2022-11-23T01:18:49.2104253Z test_cuda_trace 2022-11-23T01:18:49.2104421Z test_dispatch 2022-11-23T01:18:49.2104638Z test_fake_tensor 2022-11-23T01:18:49.2104842Z test_fx 2022-11-23T01:18:49.2105001Z test_indexing 2022-11-23T01:18:49.2105174Z test_jit_cuda_fuser 2022-11-23T01:18:49.2105335Z test_jit_disabled 2022-11-23T01:18:49.2105503Z test_linalg 2022-11-23T01:18:49.2105677Z test_mobile_optimizer 2022-11-23T01:18:49.2105840Z test_modules 2022-11-23T01:18:49.2106013Z test_multiprocessing 2022-11-23T01:18:49.2106212Z test_multiprocessing_spawn 2022-11-23T01:18:49.2106403Z test_namedtuple_return_api 2022-11-23T01:18:49.2106582Z test_nn 2022-11-23T01:18:49.2106741Z test_ops 2022-11-23T01:18:49.2106898Z test_ops_fwd_gradients 2022-11-23T01:18:49.2107080Z test_ops_gradients 2022-11-23T01:18:49.2107252Z test_ops_jit 2022-11-23T01:18:49.2107404Z test_overrides 2022-11-23T01:18:49.2107570Z test_prims 2022-11-23T01:18:49.2107739Z test_reductions 2022-11-23T01:18:49.2107900Z test_show_pickle 2022-11-23T01:18:49.2108076Z test_sparse_csr 2022-11-23T01:18:49.2108258Z test_tensor_creation_ops 2022-11-23T01:18:49.2108429Z test_tensorexpr 2022-11-23T01:18:49.2108598Z test_torch 2022-11-23T01:18:49.2108760Z doctests 2022-11-23T01:18:50.9256183Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:50.9293132Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:50.9889072Z Ignoring disabled issues: [] 2022-11-23T01:18:51.0031629Z Running backends/xeon/test_launch ... [2022-11-23 01:18:51.002854] 2022-11-23T01:18:51.0033530Z Executing ['/opt/conda/bin/python', '-bb', 'backends/xeon/test_launch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:51.003116] 2022-11-23T01:18:51.0068931Z Ignoring disabled issues: [] 2022-11-23T01:18:51.0211294Z Running benchmark_utils/test_benchmark_utils ... [2022-11-23 01:18:51.020851] 2022-11-23T01:18:51.0213158Z Executing ['/opt/conda/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:51.021121] 2022-11-23T01:18:54.4410256Z 2022-11-23T01:18:54.4410849Z Expand the folded group to see the log file of benchmark_utils/test_benchmark_utils 2022-11-23T01:18:54.4417056Z ##[group]PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_mlk5yw5y) 2022-11-23T01:18:54.4417842Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:54.4418053Z 2022-11-23T01:18:54.4418133Z Running tests... 2022-11-23T01:18:54.4418560Z ---------------------------------------------------------------------- 2022-11-23T01:18:54.4419131Z Test results will be stored in test-reports/python-unittest/benchmark_utils.test_benchmark_utils 2022-11-23T01:18:54.4419595Z test_adaptive_timer (__main__.TestBenchmarkUtils) ... ok (1.037s) 2022-11-23T01:18:54.4421076Z test_collect_callgrind (__main__.TestBenchmarkUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76932 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:18:54.4421991Z test_collect_cpp_callgrind (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.001s) 2022-11-23T01:18:54.4422441Z test_compare (__main__.TestBenchmarkUtils) ... ok (0.114s) 2022-11-23T01:18:54.4422874Z test_cpp_timer (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.000s) 2022-11-23T01:18:54.4423267Z test_fuzzer (__main__.TestBenchmarkUtils) ... ok (0.003s) 2022-11-23T01:18:54.4423662Z test_manipulate_callgrind_stats (__main__.TestBenchmarkUtils) ... ok (0.039s) 2022-11-23T01:18:54.4424051Z test_timer (__main__.TestBenchmarkUtils) ... ok (0.030s) 2022-11-23T01:18:54.4424471Z test_timer_tiny_fast_snippet (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.000s) 2022-11-23T01:18:54.4424909Z 2022-11-23T01:18:54.4425261Z ---------------------------------------------------------------------- 2022-11-23T01:18:54.4425588Z Ran 9 tests in 1.226s 2022-11-23T01:18:54.4425739Z 2022-11-23T01:18:54.4425833Z OK (skipped=4) 2022-11-23T01:18:54.4425977Z 2022-11-23T01:18:54.4426070Z Generating XML reports... 2022-11-23T01:18:54.4426727Z Generated XML report: test-reports/python-unittest/benchmark_utils.test_benchmark_utils/TEST-TestBenchmarkUtils-20221123011852.xml 2022-11-23T01:18:54.4427069Z 2022-11-23T01:18:54.4427478Z ##[endgroup] 2022-11-23T01:18:54.4428119Z FINISHED PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_mlk5yw5y) 2022-11-23T01:18:54.4428478Z 2022-11-23T01:18:54.6686440Z 2022-11-23T01:18:54.6687005Z Expand the folded group to see the log file of backends/xeon/test_launch 2022-11-23T01:18:54.6687884Z ##[group]PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_jyqbmq92) 2022-11-23T01:18:54.6688243Z 2022-11-23T01:18:54.6688359Z Running tests... 2022-11-23T01:18:54.6688815Z ---------------------------------------------------------------------- 2022-11-23T01:18:54.6689219Z Test results will be stored in test-reports/python-unittest/backends.xeon.test_launch 2022-11-23T01:18:54.6690063Z test_cpu_info (__main__.TestTorchrun) ... 2022-11-23 01:18:52,571 - torch.backends.xeon.run_cpu - WARNING - Numa Aware: cores:[2, 3, 4, 5] on different NUMA nodes:[0, 1]. To avoid this behavior, please use --ncores_per_instance knob to make sure number of cores is divisible by --ncores_per_instance. Alternatively, please use --skip_cross_node_cores knob. 2022-11-23T01:18:54.6690548Z ok (0.141s) 2022-11-23T01:18:54.6690754Z test_multi_threads (__main__.TestTorchrun) ... ok (1.782s) 2022-11-23T01:18:54.6690903Z 2022-11-23T01:18:54.6691102Z ---------------------------------------------------------------------- 2022-11-23T01:18:54.6691341Z Ran 2 tests in 1.923s 2022-11-23T01:18:54.6691456Z 2022-11-23T01:18:54.6691516Z OK 2022-11-23T01:18:54.6691596Z 2022-11-23T01:18:54.6691681Z Generating XML reports... 2022-11-23T01:18:54.6692096Z Generated XML report: test-reports/python-unittest/backends.xeon.test_launch/TEST-TestTorchrun-20221123011852.xml 2022-11-23T01:18:54.6692336Z 2022-11-23T01:18:54.6692569Z ##[endgroup] 2022-11-23T01:18:54.6692982Z FINISHED PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_jyqbmq92) 2022-11-23T01:18:54.6693218Z 2022-11-23T01:18:56.4892835Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:56.5501282Z Ignoring disabled issues: [] 2022-11-23T01:18:56.5643797Z Running dynamo/test_aot_autograd ... [2022-11-23 01:18:56.564102] 2022-11-23T01:18:56.5646632Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:56.564381] 2022-11-23T01:18:56.6747592Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:56.7345163Z Ignoring disabled issues: [] 2022-11-23T01:18:56.7486032Z Running dynamo/test_aot_cudagraphs ... [2022-11-23 01:18:56.748273] 2022-11-23T01:18:56.7488026Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_cudagraphs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:56.748572] 2022-11-23T01:18:58.6083322Z 2022-11-23T01:18:58.6083868Z Expand the folded group to see the log file of dynamo/test_aot_cudagraphs 2022-11-23T01:18:58.6085053Z ##[group]PRINTING LOG FILE of dynamo/test_aot_cudagraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_cudagraphs_d_zhugns) 2022-11-23T01:18:58.6085540Z 2022-11-23T01:18:58.6085662Z Running tests... 2022-11-23T01:18:58.6086150Z ---------------------------------------------------------------------- 2022-11-23T01:18:58.6086846Z test_basic (__main__.TestAotCudagraphs) ... Test results will be stored in test-reports/python-unittest/dynamo.test_aot_cudagraphs 2022-11-23T01:18:58.6087181Z skip: these tests require cuda (0.001s) 2022-11-23T01:18:58.6087454Z test_dead_fill (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s) 2022-11-23T01:18:58.6087784Z test_dtoh (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s) 2022-11-23T01:18:58.6088105Z test_factory (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s) 2022-11-23T01:18:58.6088429Z test_htod (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s) 2022-11-23T01:18:58.6088825Z test_mutate_constant (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s) 2022-11-23T01:18:58.6089171Z test_mutate_input (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s) 2022-11-23T01:18:58.6089650Z test_mutated_metadata (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s) 2022-11-23T01:18:58.6089991Z 2022-11-23T01:18:58.6090374Z ---------------------------------------------------------------------- 2022-11-23T01:18:58.6090694Z Ran 8 tests in 0.004s 2022-11-23T01:18:58.6090808Z 2022-11-23T01:18:58.6090879Z OK (skipped=8) 2022-11-23T01:18:58.6090985Z 2022-11-23T01:18:58.6091067Z Generating XML reports... 2022-11-23T01:18:58.6091551Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_cudagraphs/TEST-TestAotCudagraphs-20221123011858.xml 2022-11-23T01:18:58.6091805Z 2022-11-23T01:18:58.6092104Z ##[endgroup] 2022-11-23T01:18:58.6092526Z FINISHED PRINTING LOG FILE of dynamo/test_aot_cudagraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_cudagraphs_d_zhugns) 2022-11-23T01:18:58.6092821Z 2022-11-23T01:19:00.5482884Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:00.6264654Z Ignoring disabled issues: [] 2022-11-23T01:19:00.6407648Z Running dynamo/test_dynamic_shapes ... [2022-11-23 01:19:00.640409] 2022-11-23T01:19:00.6409063Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:00.640685] 2022-11-23T01:19:02.1247305Z 2022-11-23T01:19:02.1247783Z Expand the folded group to see the log file of dynamo/test_aot_autograd 2022-11-23T01:19:02.1248952Z ##[group]PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_o0drnmd6) 2022-11-23T01:19:02.1249384Z 2022-11-23T01:19:02.1249517Z Running tests... 2022-11-23T01:19:02.1250167Z ---------------------------------------------------------------------- 2022-11-23T01:19:02.1250883Z Test results will be stored in test-reports/python-unittest/dynamo.test_aot_autograd 2022-11-23T01:19:02.1251955Z test_LSTM (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:19:01,138] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of LSTM 2022-11-23T01:19:02.1252580Z ok (3.156s) 2022-11-23T01:19:02.1253244Z test_call_fn_with_non_const_inputs_aot_safe (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1254238Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:02.1254701Z inline_call [] 2022-11-23T01:19:02.1255253Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:02.1255740Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1256058Z ok (0.028s) 2022-11-23T01:19:02.1257050Z test_call_fn_with_non_const_inputs_aot_unsafe (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:19:01,326] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:19:02.1257727Z inline_call [] 2022-11-23T01:19:02.1258257Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:02.1258757Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1259157Z ok (0.017s) 2022-11-23T01:19:02.1259863Z test_call_fn_with_non_const_inputs_aot_unsafe_control_flow (__main__.AotAutogradFallbackTests) ... frames [('total', 8), ('ok', 8)] 2022-11-23T01:19:02.1260554Z inline_call [('generic_jump TensorVariable()', 2)] 2022-11-23T01:19:02.1260943Z unimplemented [] 2022-11-23T01:19:02.1261404Z graph_break [('generic_jump TensorVariable()', 2)] 2022-11-23T01:19:02.1262028Z stats [('calls_captured', 14), ('unique_graphs', 8), ('fusions_possible', 6)] 2022-11-23T01:19:02.1262428Z ok (0.055s) 2022-11-23T01:19:02.1263329Z test_mutation (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:19:01,389] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:19:02.1264034Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1264600Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:02.1265004Z ok (0.008s) 2022-11-23T01:19:02.1265896Z test_mutation1 (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:19:01,543] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:19:02.1266622Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1267182Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:02.1267586Z ok (0.157s) 2022-11-23T01:19:02.1268179Z test_negative_testing (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1268880Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:02.1269277Z ok (0.008s) 2022-11-23T01:19:02.1269896Z test_negative_testing_mutation (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:02.1270617Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:02.1271022Z ok (0.165s) 2022-11-23T01:19:02.1271200Z 2022-11-23T01:19:02.1271550Z ---------------------------------------------------------------------- 2022-11-23T01:19:02.1271988Z Ran 8 tests in 3.596s 2022-11-23T01:19:02.1272189Z 2022-11-23T01:19:02.1272293Z OK 2022-11-23T01:19:02.1272454Z 2022-11-23T01:19:02.1272608Z Generating XML reports... 2022-11-23T01:19:02.1273428Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_autograd/TEST-AotAutogradFallbackTests-20221123011858.xml 2022-11-23T01:19:02.1273925Z 2022-11-23T01:19:02.1274380Z ##[endgroup] 2022-11-23T01:19:02.1275158Z FINISHED PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_o0drnmd6) 2022-11-23T01:19:02.1275576Z 2022-11-23T01:19:04.0471094Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:04.1273277Z Ignoring disabled issues: [] 2022-11-23T01:19:04.1417840Z Running dynamo/test_export ... [2022-11-23 01:19:04.141437] 2022-11-23T01:19:04.1419202Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:04.141713] 2022-11-23T01:19:07.4956611Z 2022-11-23T01:19:07.4957151Z Expand the folded group to see the log file of dynamo/test_export 2022-11-23T01:19:07.4958487Z ##[group]PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_iivm4hv9) 2022-11-23T01:19:07.4958792Z 2022-11-23T01:19:07.4958889Z Running tests... 2022-11-23T01:19:07.4959476Z ---------------------------------------------------------------------- 2022-11-23T01:19:07.4960066Z Test results will be stored in test-reports/python-unittest/dynamo.test_export 2022-11-23T01:19:07.4960412Z test_dict_return (__main__.ExportTests) ... ok (0.260s) 2022-11-23T01:19:07.4960939Z test_dict_return_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:07.4961403Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:07.4961632Z ok (0.017s) 2022-11-23T01:19:07.4962140Z test_dupes (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4962402Z ok (0.008s) 2022-11-23T01:19:07.4962813Z test_dupes_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4963073Z ok (0.008s) 2022-11-23T01:19:07.4963507Z test_dupes_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4963765Z ok (0.011s) 2022-11-23T01:19:07.4964172Z test_dupes_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4964514Z ok (0.009s) 2022-11-23T01:19:07.4965225Z test_dupes_and_bypass_reorder_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4965603Z ok (0.094s) 2022-11-23T01:19:07.4966130Z test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4966441Z ok (0.014s) 2022-11-23T01:19:07.4966883Z test_dupes_and_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4967163Z ok (0.012s) 2022-11-23T01:19:07.4967619Z test_dupes_and_bypass_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4967888Z ok (0.010s) 2022-11-23T01:19:07.4968367Z test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4968662Z ok (0.013s) 2022-11-23T01:19:07.4969119Z test_dupes_and_bypass_with_non_tensor_output (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:07.4969389Z ok (0.013s) 2022-11-23T01:19:07.4969874Z test_dupes_and_bypass_with_non_tensor_output_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:07.4970173Z ok (0.013s) 2022-11-23T01:19:07.4970594Z test_dupes_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4970861Z ok (0.011s) 2022-11-23T01:19:07.4971076Z test_export (__main__.ExportTests) ... inline_call [] 2022-11-23T01:19:07.4971458Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:19:07.4971669Z ok (0.114s) 2022-11-23T01:19:07.4972121Z test_export_compare_optimize_with_make_fx (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:07.4972398Z ok (0.042s) 2022-11-23T01:19:07.4972793Z test_export_decomp (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:07.4973064Z ok (0.020s) 2022-11-23T01:19:07.4973451Z test_export_decomp_asserts_bad_args (__main__.ExportTests) ... ok (0.001s) 2022-11-23T01:19:07.4973765Z test_export_decomp_asserts_bad_args_mode (__main__.ExportTests) ... ok (0.001s) 2022-11-23T01:19:07.4974267Z test_export_graph_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4974525Z ok (0.012s) 2022-11-23T01:19:07.4974969Z test_export_graph_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4975256Z ok (0.014s) 2022-11-23T01:19:07.4975662Z test_export_graph_with_complex_reorder (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:07.4975959Z ok (0.015s) 2022-11-23T01:19:07.4976395Z test_export_graph_with_complex_reorder_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:07.4976814Z ok (0.020s) 2022-11-23T01:19:07.4977219Z test_export_graph_with_list (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4977492Z ok (0.013s) 2022-11-23T01:19:07.4977896Z test_export_graph_with_list_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4978198Z ok (0.016s) 2022-11-23T01:19:07.4978565Z test_export_meta_val (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:07.4978882Z ok (0.070s) 2022-11-23T01:19:07.4979244Z test_export_mismatched_out (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4979565Z ok (0.010s) 2022-11-23T01:19:07.4979945Z test_export_mismatched_out_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4980251Z ok (0.009s) 2022-11-23T01:19:07.4980652Z test_export_mismatched_out_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4980951Z ok (0.012s) 2022-11-23T01:19:07.4981389Z test_export_mismatched_out_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4981657Z ok (0.011s) 2022-11-23T01:19:07.4982027Z test_export_shape_control_flow_1 (__main__.ExportTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:07.4982390Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:07.4982666Z ok (0.025s) 2022-11-23T01:19:07.4982879Z test_export_with_aten_graph (__main__.ExportTests) ... inline_call [] 2022-11-23T01:19:07.4983264Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:19:07.4983504Z ok (0.144s) 2022-11-23T01:19:07.4983891Z test_export_with_constant_dict_values (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:07.4984227Z ok (0.010s) 2022-11-23T01:19:07.4984622Z test_export_with_constant_free_function (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:07.4984942Z ok (0.015s) 2022-11-23T01:19:07.4985365Z test_export_with_constant_free_function_and_class_method (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:07.4985710Z ok (0.013s) 2022-11-23T01:19:07.4986145Z test_export_with_constant_free_function_and_class_method_multiarg (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:07.4986493Z ok (0.015s) 2022-11-23T01:19:07.4986977Z test_export_with_constant_free_function_and_class_method_multiarg_diff (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:07.4987331Z ok (0.008s) 2022-11-23T01:19:07.4987724Z test_export_with_constant_list_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:07.4988043Z ok (0.018s) 2022-11-23T01:19:07.4988457Z test_export_with_constant_list_nonzero_free_function (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:07.4988799Z ok (0.018s) 2022-11-23T01:19:07.4989182Z test_export_with_constant_method_on_module (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:07.4989521Z ok (0.013s) 2022-11-23T01:19:07.4989942Z test_export_with_constant_method_on_module_invoke_twice (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:07.4990324Z ok (0.014s) 2022-11-23T01:19:07.4990718Z test_export_with_constant_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:07.4991051Z ok (0.007s) 2022-11-23T01:19:07.4991469Z test_export_with_constant_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:07.4991800Z ok (0.006s) 2022-11-23T01:19:07.4992205Z test_export_with_constant_not_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:07.4992544Z ok (0.008s) 2022-11-23T01:19:07.4992964Z test_export_with_constant_not_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:07.4993245Z ok (0.007s) 2022-11-23T01:19:07.4993701Z test_export_with_constant_not_none_control_flow_pos (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:07.4993988Z ok (0.007s) 2022-11-23T01:19:07.4994375Z test_export_with_constant_not_return_const (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:07.4994692Z ok (0.006s) 2022-11-23T01:19:07.4995102Z test_export_with_constant_tuple_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:07.4995375Z ok (0.018s) 2022-11-23T01:19:07.4995738Z test_export_with_module_layer (__main__.ExportTests) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:07.4996001Z ok (0.020s) 2022-11-23T01:19:07.4996371Z test_export_with_stack_trace (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:07.4996630Z ok (0.029s) 2022-11-23T01:19:07.4996886Z test_func_return (__main__.ExportTests) ... inline_call [] 2022-11-23T01:19:07.4997231Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:07.4997443Z ok (0.014s) 2022-11-23T01:19:07.4997670Z test_func_return_with_aten_graph (__main__.ExportTests) ... inline_call [] 2022-11-23T01:19:07.4998019Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:07.4998238Z ok (0.019s) 2022-11-23T01:19:07.4998583Z test_list_unpack (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4998843Z ok (0.013s) 2022-11-23T01:19:07.4999226Z test_list_unpack_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:07.4999484Z ok (0.016s) 2022-11-23T01:19:07.4999886Z test_zeroes_in_and_out_different_shape_on_test (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:07.5000171Z ok (0.013s) 2022-11-23T01:19:07.5000769Z test_zeroes_in_and_out_different_shape_on_test_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:07.5001059Z ok (0.018s) 2022-11-23T01:19:07.5001458Z test_zeroes_in_new_shape_scalar_out (__main__.ExportTests) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)] 2022-11-23T01:19:07.5001738Z ok (0.020s) 2022-11-23T01:19:07.5002130Z test_zeroes_in_new_shape_scalar_out_permute (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:19:07.5002416Z ok (0.025s) 2022-11-23T01:19:07.5002841Z test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:19:07.5003171Z ok (0.026s) 2022-11-23T01:19:07.5003259Z 2022-11-23T01:19:07.5003458Z ---------------------------------------------------------------------- 2022-11-23T01:19:07.5003700Z Ran 59 tests in 1.440s 2022-11-23T01:19:07.5003813Z 2022-11-23T01:19:07.5003873Z OK 2022-11-23T01:19:07.5003962Z 2022-11-23T01:19:07.5004032Z Generating XML reports... 2022-11-23T01:19:07.5004443Z Generated XML report: test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20221123011905.xml 2022-11-23T01:19:07.5004667Z 2022-11-23T01:19:07.5005118Z ##[endgroup] 2022-11-23T01:19:07.5005509Z FINISHED PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_iivm4hv9) 2022-11-23T01:19:07.5005730Z 2022-11-23T01:19:09.4378846Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:09.5189461Z Ignoring disabled issues: [] 2022-11-23T01:19:09.5331147Z Running dynamo/test_export_mutations ... [2022-11-23 01:19:09.532785] 2022-11-23T01:19:09.5332820Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:09.533048] 2022-11-23T01:19:11.6842616Z 2022-11-23T01:19:11.6843206Z Expand the folded group to see the log file of dynamo/test_export_mutations 2022-11-23T01:19:11.6844401Z ##[group]PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_082nzjpp) 2022-11-23T01:19:11.6845030Z 2022-11-23T01:19:11.6845161Z Running tests... 2022-11-23T01:19:11.6845812Z ---------------------------------------------------------------------- 2022-11-23T01:19:11.6846516Z Test results will be stored in test-reports/python-unittest/dynamo.test_export_mutations 2022-11-23T01:19:11.6848062Z test_module_attribute_mutation_violation_negative_1 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88468 for platform(s) linux, macos, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.246s) 2022-11-23T01:19:11.6850308Z test_module_attribute_mutation_violation_negative_2 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88475 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:19:11.6852445Z test_module_attribute_mutation_violation_negative_3 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88466 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:19:11.6854809Z test_module_attribute_mutation_violation_negative_4 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88467 for platform(s) linux, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:19:11.6855914Z test_module_attribute_mutation_violation_positive_1 (__main__.MutationExportTests) ... ok (0.009s) 2022-11-23T01:19:11.6856507Z test_module_attribute_mutation_violation_positive_2 (__main__.MutationExportTests) ... ok (0.003s) 2022-11-23T01:19:11.6857064Z test_module_attribute_mutation_violation_positive_3 (__main__.MutationExportTests) ... ok (0.002s) 2022-11-23T01:19:11.6857676Z test_module_attribute_mutation_violation_positive_4 (__main__.MutationExportTests) ... inline_call [] 2022-11-23T01:19:11.6858243Z ok (0.004s) 2022-11-23T01:19:11.6858403Z 2022-11-23T01:19:11.6858802Z ---------------------------------------------------------------------- 2022-11-23T01:19:11.6859212Z Ran 8 tests in 0.266s 2022-11-23T01:19:11.6859400Z 2022-11-23T01:19:11.6859522Z OK (skipped=4) 2022-11-23T01:19:11.6859697Z 2022-11-23T01:19:11.6859819Z Generating XML reports... 2022-11-23T01:19:11.6860577Z Generated XML report: test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20221123011911.xml 2022-11-23T01:19:11.6861040Z 2022-11-23T01:19:11.6861500Z ##[endgroup] 2022-11-23T01:19:11.6862256Z FINISHED PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_082nzjpp) 2022-11-23T01:19:11.6862636Z 2022-11-23T01:19:13.6680263Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:13.7481646Z Ignoring disabled issues: [] 2022-11-23T01:19:13.7625438Z Running dynamo/test_functions ... [2022-11-23 01:19:13.762163] 2022-11-23T01:19:13.7627255Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:13.762442] 2022-11-23T01:19:16.7727563Z 2022-11-23T01:19:16.7728264Z Expand the folded group to see the log file of dynamo/test_functions 2022-11-23T01:19:16.7729366Z ##[group]PRINTING LOG FILE of dynamo/test_functions (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_functions_c0dbjlb5) 2022-11-23T01:19:16.7729721Z 2022-11-23T01:19:16.7731239Z Running tests... 2022-11-23T01:19:16.7731935Z ---------------------------------------------------------------------- 2022-11-23T01:19:16.7732636Z Test results will be stored in test-reports/python-unittest/dynamo.test_functions 2022-11-23T01:19:16.7733104Z test_T (__main__.FunctionTests) ... ok (0.347s) 2022-11-23T01:19:16.7733777Z test_add (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7734515Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7734923Z ok (0.007s) 2022-11-23T01:19:16.7735334Z test_build_list_unpack (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7735940Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:16.7736350Z ok (0.014s) 2022-11-23T01:19:16.7737168Z test_chunks1 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7737772Z ok (0.009s) 2022-11-23T01:19:16.7738685Z test_const_tuple_add1 (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:16.7739329Z ok (0.009s) 2022-11-23T01:19:16.7740200Z test_const_tuple_add2 (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:16.7740845Z ok (0.009s) 2022-11-23T01:19:16.7741713Z test_constant1 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7742373Z ok (0.008s) 2022-11-23T01:19:16.7743463Z test_constant2 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7744100Z ok (0.009s) 2022-11-23T01:19:16.7744947Z test_constant3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7745568Z ok (0.006s) 2022-11-23T01:19:16.7746399Z test_constant4 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7747012Z ok (0.006s) 2022-11-23T01:19:16.7747871Z test_default_dict (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7748534Z ok (0.010s) 2022-11-23T01:19:16.7749350Z test_del (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7750088Z ok (0.007s) 2022-11-23T01:19:16.7750936Z test_device (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7751575Z ok (0.005s) 2022-11-23T01:19:16.7752467Z test_device_constant (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7753100Z ok (0.007s) 2022-11-23T01:19:16.7753955Z test_dict_copy (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7754579Z ok (0.006s) 2022-11-23T01:19:16.7755443Z test_dict_ops (__main__.FunctionTests) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:16.7756056Z ok (0.015s) 2022-11-23T01:19:16.7756972Z test_dict_param_keys (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7757636Z ok (0.007s) 2022-11-23T01:19:16.7758468Z test_dtype (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7759100Z ok (0.006s) 2022-11-23T01:19:16.7760000Z test_dtype_compare (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7760717Z ok (0.008s) 2022-11-23T01:19:16.7761513Z test_finfo (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7762134Z ok (0.007s) 2022-11-23T01:19:16.7762979Z test_float (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7763575Z ok (0.006s) 2022-11-23T01:19:16.7764456Z test_fn_with_self_set (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:16.7765334Z ok (0.010s) 2022-11-23T01:19:16.7766203Z test_fstrings1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7766862Z ok (0.006s) 2022-11-23T01:19:16.7767752Z test_fstrings2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7768358Z ok (0.007s) 2022-11-23T01:19:16.7769220Z test_fstrings3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7769853Z ok (0.006s) 2022-11-23T01:19:16.7770393Z test_funcdef_closure (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7771194Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:19:16.7771723Z ok (0.015s) 2022-11-23T01:19:16.7772563Z test_globalfn (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7773295Z ok (0.006s) 2022-11-23T01:19:16.7774175Z test_globalmodule (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7774814Z ok (0.010s) 2022-11-23T01:19:16.7775840Z test_globalvar (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7776553Z ok (0.007s) 2022-11-23T01:19:16.7777441Z test_import1 (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7778160Z ok (0.007s) 2022-11-23T01:19:16.7779134Z test_indirect1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7779926Z ok (0.006s) 2022-11-23T01:19:16.7780900Z test_indirect2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7781561Z ok (0.006s) 2022-11-23T01:19:16.7782500Z test_indirect3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7783328Z ok (0.006s) 2022-11-23T01:19:16.7784021Z test_inline_jit_annotations (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7784902Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7785527Z ok (0.009s) 2022-11-23T01:19:16.7786478Z test_inline_softmax (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7787167Z ok (0.011s) 2022-11-23T01:19:16.7787998Z test_inline_with_default (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7788931Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7789480Z ok (0.008s) 2022-11-23T01:19:16.7790072Z test_inner_function (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7791010Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7791655Z ok (0.006s) 2022-11-23T01:19:16.7792622Z test_is_contiguous_memory_format (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7793372Z ok (0.006s) 2022-11-23T01:19:16.7794351Z test_is_fx_tracing (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7795066Z ok (0.006s) 2022-11-23T01:19:16.7796054Z test_is_in_onnx_export (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7796794Z ok (0.006s) 2022-11-23T01:19:16.7797676Z test_is_not_null (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7798384Z ok (0.006s) 2022-11-23T01:19:16.7799440Z test_is_quantized (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7800171Z ok (0.005s) 2022-11-23T01:19:16.7801134Z test_is_sparse (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7801876Z ok (0.005s) 2022-11-23T01:19:16.7802890Z test_islice_chain (__main__.FunctionTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:16.7803556Z ok (0.012s) 2022-11-23T01:19:16.7804509Z test_jit_annotate (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7805372Z ok (0.007s) 2022-11-23T01:19:16.7806399Z test_len_constant_dict (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7807118Z ok (0.006s) 2022-11-23T01:19:16.7808080Z test_len_constant_list (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7808783Z ok (0.006s) 2022-11-23T01:19:16.7809778Z test_len_constant_misc_iterables (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7810540Z ok (0.006s) 2022-11-23T01:19:16.7811643Z test_len_tensor (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7812304Z ok (0.005s) 2022-11-23T01:19:16.7813248Z test_list_add (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7813899Z ok (0.006s) 2022-11-23T01:19:16.7814850Z test_list_clear (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7815454Z ok (0.008s) 2022-11-23T01:19:16.7867240Z test_list_convert (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:16.7867630Z ok (0.009s) 2022-11-23T01:19:16.7868166Z test_list_reversed (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:16.7868711Z ok (0.010s) 2022-11-23T01:19:16.7869287Z test_list_slice_assignment (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7869682Z ok (0.006s) 2022-11-23T01:19:16.7870184Z test_list_truth (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7870537Z ok (0.006s) 2022-11-23T01:19:16.7871042Z test_listarg1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7871355Z ok (0.006s) 2022-11-23T01:19:16.7871878Z test_listarg2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7872240Z ok (0.006s) 2022-11-23T01:19:16.7872773Z test_listarg3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7873182Z ok (0.007s) 2022-11-23T01:19:16.7873693Z test_listarg4 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7874052Z ok (0.006s) 2022-11-23T01:19:16.7874547Z test_listarg5 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7874901Z ok (0.007s) 2022-11-23T01:19:16.7875451Z test_load_global_bool (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7875802Z ok (0.005s) 2022-11-23T01:19:16.7876081Z test_map_sum (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7876549Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:16.7876848Z ok (0.014s) 2022-11-23T01:19:16.7877124Z test_methodcall1 (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7877638Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7877959Z ok (0.008s) 2022-11-23T01:19:16.7878244Z test_methodcall2 (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7878737Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7879041Z ok (0.008s) 2022-11-23T01:19:16.7879334Z test_methodcall3 (__main__.FunctionTests) ... inline_call [] 2022-11-23T01:19:16.7879811Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7880098Z ok (0.008s) 2022-11-23T01:19:16.7880674Z test_min_max (__main__.FunctionTests) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:19:16.7881033Z ok (0.018s) 2022-11-23T01:19:16.7881547Z test_module_constant (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:16.7881898Z ok (0.010s) 2022-11-23T01:19:16.7882375Z test_ndim (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7882728Z ok (0.006s) 2022-11-23T01:19:16.7883355Z test_pop (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:16.7883693Z ok (0.010s) 2022-11-23T01:19:16.7884183Z test_reduce (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7884541Z ok (0.009s) 2022-11-23T01:19:16.7885202Z test_return_dict (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7885569Z ok (0.007s) 2022-11-23T01:19:16.7886079Z test_return_dict2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7886438Z ok (0.007s) 2022-11-23T01:19:16.7886940Z test_return_tuple1 (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7887402Z ok (0.007s) 2022-11-23T01:19:16.7887918Z test_return_tuple2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7888304Z ok (0.006s) 2022-11-23T01:19:16.7888940Z test_shape1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7889381Z ok (0.006s) 2022-11-23T01:19:16.7889974Z test_shape2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7890318Z ok (0.005s) 2022-11-23T01:19:16.7890798Z test_slice1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7891137Z ok (0.005s) 2022-11-23T01:19:16.7891645Z test_slice2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7892017Z ok (0.005s) 2022-11-23T01:19:16.7892603Z test_slice3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7893000Z ok (0.005s) 2022-11-23T01:19:16.7893547Z test_slice4 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7893905Z ok (0.005s) 2022-11-23T01:19:16.7894398Z test_slice5 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7894756Z ok (0.005s) 2022-11-23T01:19:16.7895265Z test_slice6 (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7895615Z ok (0.007s) 2022-11-23T01:19:16.7896135Z test_startswith (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7896517Z ok (0.006s) 2022-11-23T01:19:16.7897046Z test_tensor_len (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7897403Z ok (0.007s) 2022-11-23T01:19:16.7897958Z test_tensor_new_with_shape (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7898342Z ok (0.008s) 2022-11-23T01:19:16.7898902Z test_tensor_new_with_size (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7899274Z ok (0.007s) 2022-11-23T01:19:16.7899850Z test_transpose_for_scores (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7900240Z ok (0.008s) 2022-11-23T01:19:16.7900739Z test_tuple1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7901102Z ok (0.007s) 2022-11-23T01:19:16.7901615Z test_tuple2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7901992Z ok (0.007s) 2022-11-23T01:19:16.7902619Z test_tuple_contains (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7903017Z ok (0.007s) 2022-11-23T01:19:16.7903518Z test_tuple_iadd (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:16.7903872Z ok (0.008s) 2022-11-23T01:19:16.7904383Z test_unpack1 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7904742Z ok (0.008s) 2022-11-23T01:19:16.7905247Z test_unpack2 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7905616Z ok (0.008s) 2022-11-23T01:19:16.7906132Z test_unpack3 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:16.7906562Z ok (0.008s) 2022-11-23T01:19:16.7907072Z test_unpack_ex1 (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:16.7907453Z ok (0.009s) 2022-11-23T01:19:16.7907974Z test_unpack_ex2 (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:16.7908321Z ok (0.009s) 2022-11-23T01:19:16.7908837Z test_unpack_ex3 (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:16.7909201Z ok (0.009s) 2022-11-23T01:19:16.7909707Z test_viamethod (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7910072Z ok (0.006s) 2022-11-23T01:19:16.7910594Z test_viatorch (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:16.7910952Z ok (0.006s) 2022-11-23T01:19:16.7911088Z 2022-11-23T01:19:16.7911380Z ---------------------------------------------------------------------- 2022-11-23T01:19:16.7911703Z Ran 99 tests in 1.087s 2022-11-23T01:19:16.7911867Z 2022-11-23T01:19:16.7911949Z OK 2022-11-23T01:19:16.7912078Z 2022-11-23T01:19:16.7912182Z Generating XML reports... 2022-11-23T01:19:16.7912805Z Generated XML report: test-reports/python-unittest/dynamo.test_functions/TEST-FunctionTests-20221123011915.xml 2022-11-23T01:19:16.7913139Z 2022-11-23T01:19:16.7913567Z ##[endgroup] 2022-11-23T01:19:16.7914140Z FINISHED PRINTING LOG FILE of dynamo/test_functions (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_functions_c0dbjlb5) 2022-11-23T01:19:16.7914462Z 2022-11-23T01:19:18.7665823Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:18.8427162Z Ignoring disabled issues: [] 2022-11-23T01:19:18.8568575Z Running dynamo/test_global ... [2022-11-23 01:19:18.856569] 2022-11-23T01:19:18.8570243Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:18.856803] 2022-11-23T01:19:21.1311334Z 2022-11-23T01:19:21.1312006Z Expand the folded group to see the log file of dynamo/test_global 2022-11-23T01:19:21.1313280Z ##[group]PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_6py3cf4_) 2022-11-23T01:19:21.1313705Z 2022-11-23T01:19:21.1313838Z Running tests... 2022-11-23T01:19:21.1314501Z ---------------------------------------------------------------------- 2022-11-23T01:19:21.1315202Z Test results will be stored in test-reports/python-unittest/dynamo.test_global 2022-11-23T01:19:21.1315738Z test_store_global_1 (__main__.TestGlobals) ... ok (0.332s) 2022-11-23T01:19:21.1316376Z test_store_global_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1317069Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1317566Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:21.1318165Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:21.1318589Z ok (0.010s) 2022-11-23T01:19:21.1319400Z test_store_global_cross_file (__main__.TestGlobals) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:21.1319860Z unimplemented [] 2022-11-23T01:19:21.1320738Z graph_break [('call_function BuiltinVariable(setattr) [PythonModuleVariable(), ConstantVariable(str), TensorVariable()] {}', 1)] 2022-11-23T01:19:21.1321562Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:21.1321970Z ok (0.009s) 2022-11-23T01:19:21.1322541Z test_store_global_dict (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1323226Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1323631Z ok (0.005s) 2022-11-23T01:19:21.1324200Z test_store_global_dict_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1324638Z inline_call [] 2022-11-23T01:19:21.1325475Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1325898Z ok (0.007s) 2022-11-23T01:19:21.1326470Z test_store_global_inline_1 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1326899Z inline_call [] 2022-11-23T01:19:21.1327430Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1327836Z ok (0.010s) 2022-11-23T01:19:21.1328394Z test_store_global_inline_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1328796Z inline_call [] 2022-11-23T01:19:21.1329329Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1329745Z ok (0.011s) 2022-11-23T01:19:21.1330277Z test_store_global_list (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1330926Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1331338Z ok (0.006s) 2022-11-23T01:19:21.1331877Z test_store_global_list_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1332291Z inline_call [] 2022-11-23T01:19:21.1332830Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1333239Z ok (0.007s) 2022-11-23T01:19:21.1333767Z test_store_global_new (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1334418Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:21.1334817Z ok (0.005s) 2022-11-23T01:19:21.1335378Z test_store_global_object (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:21.1336011Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:21.1336413Z ok (0.006s) 2022-11-23T01:19:21.1336587Z 2022-11-23T01:19:21.1336959Z ---------------------------------------------------------------------- 2022-11-23T01:19:21.1337397Z Ran 11 tests in 0.407s 2022-11-23T01:19:21.1337592Z 2022-11-23T01:19:21.1337696Z OK 2022-11-23T01:19:21.1337855Z 2022-11-23T01:19:21.1338003Z Generating XML reports... 2022-11-23T01:19:21.1338748Z Generated XML report: test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123011920.xml 2022-11-23T01:19:21.1339167Z 2022-11-23T01:19:21.1339573Z ##[endgroup] 2022-11-23T01:19:21.1340299Z FINISHED PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_6py3cf4_) 2022-11-23T01:19:21.1340706Z 2022-11-23T01:19:23.1032342Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:23.1824515Z Ignoring disabled issues: [] 2022-11-23T01:19:23.1971831Z Running dynamo/test_global_declaration ... [2022-11-23 01:19:23.196893] 2022-11-23T01:19:23.1974098Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global_declaration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:23.197157] 2022-11-23T01:19:24.6544924Z 2022-11-23T01:19:24.6545709Z Expand the folded group to see the log file of dynamo/test_global_declaration 2022-11-23T01:19:24.6546794Z ##[group]PRINTING LOG FILE of dynamo/test_global_declaration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_declaration_bezsgntf) 2022-11-23T01:19:24.6547065Z 2022-11-23T01:19:24.6548427Z ##[endgroup] 2022-11-23T01:19:24.6549129Z FINISHED PRINTING LOG FILE of dynamo/test_global_declaration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_declaration_bezsgntf) 2022-11-23T01:19:24.6549475Z 2022-11-23T01:19:25.1728703Z 2022-11-23T01:19:25.1729715Z Expand the folded group to see the log file of dynamo/test_dynamic_shapes 2022-11-23T01:19:25.1730872Z ##[group]PRINTING LOG FILE of dynamo/test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_dynamic_shapes_n494nm1k) 2022-11-23T01:19:25.1731465Z 2022-11-23T01:19:25.1731583Z Running tests... 2022-11-23T01:19:25.1732176Z ---------------------------------------------------------------------- 2022-11-23T01:19:25.1733134Z Test results will be stored in test-reports/python-unittest/dynamo.test_dynamic_shapes 2022-11-23T01:19:25.1733813Z test_dict_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.325s) 2022-11-23T01:19:25.1734918Z test_dict_return_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1735762Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1736149Z ok (0.027s) 2022-11-23T01:19:25.1736929Z test_dupes_2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1737489Z ok (0.013s) 2022-11-23T01:19:25.1738359Z test_dupes_2_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1738960Z ok (0.015s) 2022-11-23T01:19:25.1739833Z test_dupes_and_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1740430Z ok (0.015s) 2022-11-23T01:19:25.1741352Z test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1741984Z ok (0.104s) 2022-11-23T01:19:25.1742959Z test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1743583Z ok (0.019s) 2022-11-23T01:19:25.1744462Z test_dupes_and_bypass_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1745065Z ok (0.019s) 2022-11-23T01:19:25.1745992Z test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1746589Z ok (0.016s) 2022-11-23T01:19:25.1747511Z test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1748162Z ok (0.018s) 2022-11-23T01:19:25.1749089Z test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.1749672Z ok (0.022s) 2022-11-23T01:19:25.1750798Z test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.1751447Z ok (0.019s) 2022-11-23T01:19:25.1752273Z test_dupes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1752844Z ok (0.012s) 2022-11-23T01:19:25.1753691Z test_dupes_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1754259Z ok (0.015s) 2022-11-23T01:19:25.1755186Z test_export_compare_optimize_with_make_fx_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.1755896Z ok (0.063s) 2022-11-23T01:19:25.1756425Z test_export_decomp_asserts_bad_args_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:25.1757202Z test_export_decomp_asserts_bad_args_mode_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:25.1758313Z test_export_decomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.1758908Z ok (0.028s) 2022-11-23T01:19:25.1759397Z test_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1760120Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:19:25.1760496Z ok (0.154s) 2022-11-23T01:19:25.1761471Z test_export_graph_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1762091Z ok (0.021s) 2022-11-23T01:19:25.1763052Z test_export_graph_bypass_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1763691Z ok (0.023s) 2022-11-23T01:19:25.1764610Z test_export_graph_with_complex_reorder_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1765417Z ok (0.028s) 2022-11-23T01:19:25.1766391Z test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1767069Z ok (0.032s) 2022-11-23T01:19:25.1767933Z test_export_graph_with_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1768522Z ok (0.023s) 2022-11-23T01:19:25.1769473Z test_export_graph_with_list_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1770129Z ok (0.026s) 2022-11-23T01:19:25.1770996Z test_export_meta_val_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1771601Z ok (0.048s) 2022-11-23T01:19:25.1772665Z test_export_mismatched_out_2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1773281Z ok (0.017s) 2022-11-23T01:19:25.1774244Z test_export_mismatched_out_2_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1774895Z ok (0.019s) 2022-11-23T01:19:25.1775838Z test_export_mismatched_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1776453Z ok (0.015s) 2022-11-23T01:19:25.1777434Z test_export_mismatched_out_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1778181Z ok (0.018s) 2022-11-23T01:19:25.1779016Z test_export_shape_control_flow_1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.1779825Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.1780240Z ok (0.026s) 2022-11-23T01:19:25.1780810Z test_export_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1781592Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:19:25.1782005Z ok (0.145s) 2022-11-23T01:19:25.1782966Z test_export_with_constant_dict_values_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1783614Z ok (0.018s) 2022-11-23T01:19:25.1784569Z test_export_with_constant_free_function_and_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1785237Z ok (0.027s) 2022-11-23T01:19:25.1786200Z test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1786863Z ok (0.015s) 2022-11-23T01:19:25.1787818Z test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1788478Z ok (0.031s) 2022-11-23T01:19:25.1789379Z test_export_with_constant_free_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1789979Z ok (0.028s) 2022-11-23T01:19:25.1790867Z test_export_with_constant_list_nonzero_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)] 2022-11-23T01:19:25.1791492Z expected failure (0.010s) 2022-11-23T01:19:25.1792457Z test_export_with_constant_list_nonzero_free_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)] 2022-11-23T01:19:25.1793130Z expected failure (0.009s) 2022-11-23T01:19:25.1794056Z test_export_with_constant_method_on_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1794652Z ok (0.022s) 2022-11-23T01:19:25.1795697Z test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1796337Z ok (0.028s) 2022-11-23T01:19:25.1797259Z test_export_with_constant_none_control_flow_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1797901Z ok (0.008s) 2022-11-23T01:19:25.1798831Z test_export_with_constant_none_control_flow_free_func_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1799443Z ok (0.007s) 2022-11-23T01:19:25.1800324Z test_export_with_constant_not_none_control_flow_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1801082Z ok (0.010s) 2022-11-23T01:19:25.1802046Z test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1802663Z ok (0.010s) 2022-11-23T01:19:25.1803597Z test_export_with_constant_not_none_control_flow_pos_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1804195Z ok (0.010s) 2022-11-23T01:19:25.1805220Z test_export_with_constant_not_return_const_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1805811Z ok (0.007s) 2022-11-23T01:19:25.1806758Z test_export_with_constant_tuple_nonzero_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)] 2022-11-23T01:19:25.1807414Z expected failure (0.009s) 2022-11-23T01:19:25.1808292Z test_export_with_module_layer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:25.1808881Z ok (0.019s) 2022-11-23T01:19:25.1809790Z test_export_with_stack_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.1810424Z ok (0.044s) 2022-11-23T01:19:25.1810916Z test_func_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1811648Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.1812044Z ok (0.027s) 2022-11-23T01:19:25.1812624Z test_func_return_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1813366Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.1813764Z ok (0.033s) 2022-11-23T01:19:25.1814598Z test_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1815154Z ok (0.021s) 2022-11-23T01:19:25.1816027Z test_list_unpack_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1816649Z ok (0.024s) 2022-11-23T01:19:25.1817765Z test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1818400Z ok (0.023s) 2022-11-23T01:19:25.1819405Z test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1820054Z ok (0.028s) 2022-11-23T01:19:25.1820983Z test_zeroes_in_new_shape_scalar_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)] 2022-11-23T01:19:25.1821596Z ok (0.030s) 2022-11-23T01:19:25.1822619Z test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:19:25.1823392Z ok (0.039s) 2022-11-23T01:19:25.1824359Z test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:19:25.1824982Z ok (0.037s) 2022-11-23T01:19:25.1825827Z test_T_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1826397Z ok (0.021s) 2022-11-23T01:19:25.1827249Z test_add_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1827818Z ok (0.011s) 2022-11-23T01:19:25.1828365Z test_build_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1829141Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1829527Z ok (0.027s) 2022-11-23T01:19:25.1830102Z test_chunks1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1831278Z test_const_tuple_add1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.1831882Z ok (0.017s) 2022-11-23T01:19:25.1832769Z test_const_tuple_add2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.1833375Z ok (0.017s) 2022-11-23T01:19:25.1834252Z test_constant1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1834814Z ok (0.018s) 2022-11-23T01:19:25.1835625Z test_constant2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1836182Z ok (0.018s) 2022-11-23T01:19:25.1836942Z test_constant3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1837469Z ok (0.009s) 2022-11-23T01:19:25.1838319Z test_constant4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1838912Z ok (0.011s) 2022-11-23T01:19:25.1839795Z test_default_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1840457Z ok (0.019s) 2022-11-23T01:19:25.1841416Z test_del_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1841980Z ok (0.015s) 2022-11-23T01:19:25.1842851Z test_device_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1843442Z ok (0.012s) 2022-11-23T01:19:25.1844294Z test_device_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1844996Z ok (0.009s) 2022-11-23T01:19:25.1845926Z test_dict_copy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1846441Z ok (0.009s) 2022-11-23T01:19:25.1847269Z test_dict_ops_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:25.1847815Z ok (0.029s) 2022-11-23T01:19:25.1848632Z test_dict_param_keys_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1849201Z ok (0.010s) 2022-11-23T01:19:25.1850064Z test_dtype_compare_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1850669Z ok (0.014s) 2022-11-23T01:19:25.1851484Z test_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1852051Z ok (0.010s) 2022-11-23T01:19:25.1852866Z test_finfo_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1853440Z ok (0.012s) 2022-11-23T01:19:25.1854265Z test_float_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1854843Z ok (0.009s) 2022-11-23T01:19:25.1855738Z test_fn_with_self_set_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.1856319Z ok (0.097s) 2022-11-23T01:19:25.1857220Z test_fstrings1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1857836Z ok (0.013s) 2022-11-23T01:19:25.1858406Z test_fstrings2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1859543Z test_fstrings3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1860126Z ok (0.010s) 2022-11-23T01:19:25.1860645Z test_funcdef_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1861374Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:19:25.1861745Z ok (0.032s) 2022-11-23T01:19:25.1862615Z test_globalfn_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1863330Z ok (0.015s) 2022-11-23T01:19:25.1864147Z test_globalmodule_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1864739Z ok (0.033s) 2022-11-23T01:19:25.1865627Z test_globalvar_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1866218Z ok (0.026s) 2022-11-23T01:19:25.1867057Z test_import1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1867635Z ok (0.023s) 2022-11-23T01:19:25.1868595Z test_indirect1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1869197Z ok (0.011s) 2022-11-23T01:19:25.1870069Z test_indirect2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1870660Z ok (0.011s) 2022-11-23T01:19:25.1871489Z test_indirect3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1872053Z ok (0.012s) 2022-11-23T01:19:25.1872596Z test_inline_jit_annotations_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1873370Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1873783Z ok (0.015s) 2022-11-23T01:19:25.1874640Z test_inline_softmax_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1875251Z ok (0.029s) 2022-11-23T01:19:25.1875797Z test_inline_with_default_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1876522Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1876902Z ok (0.017s) 2022-11-23T01:19:25.1877421Z test_inner_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1878147Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1878527Z ok (0.010s) 2022-11-23T01:19:25.1879137Z test_is_contiguous_memory_format_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1880481Z test_is_fx_tracing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1881260Z ok (0.098s) 2022-11-23T01:19:25.1882005Z test_is_in_onnx_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1882513Z ok (0.011s) 2022-11-23T01:19:25.1883297Z test_is_not_null_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1883800Z ok (0.011s) 2022-11-23T01:19:25.1884643Z test_is_quantized_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1885395Z ok (0.011s) 2022-11-23T01:19:25.1886299Z test_is_sparse_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1886807Z ok (0.009s) 2022-11-23T01:19:25.1887617Z test_islice_chain_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.1888189Z ok (0.024s) 2022-11-23T01:19:25.1889034Z test_jit_annotate_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1889629Z ok (0.012s) 2022-11-23T01:19:25.1890500Z test_len_constant_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1891223Z ok (0.010s) 2022-11-23T01:19:25.1892111Z test_len_constant_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1892721Z ok (0.010s) 2022-11-23T01:19:25.1893613Z test_len_constant_misc_iterables_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1894236Z ok (0.009s) 2022-11-23T01:19:25.1895744Z test_len_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... expected failure (0.005s) 2022-11-23T01:19:25.1896876Z test_list_add_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1897472Z ok (0.011s) 2022-11-23T01:19:25.1898284Z test_list_clear_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1898811Z ok (0.016s) 2022-11-23T01:19:25.1899634Z test_list_convert_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.1900196Z ok (0.019s) 2022-11-23T01:19:25.1900991Z test_list_reversed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1901517Z ok (0.022s) 2022-11-23T01:19:25.1902330Z test_list_slice_assignment_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1902897Z ok (0.010s) 2022-11-23T01:19:25.1903712Z test_list_truth_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1904285Z ok (0.011s) 2022-11-23T01:19:25.1905126Z test_listarg1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1905701Z ok (0.015s) 2022-11-23T01:19:25.1906554Z test_listarg2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1907156Z ok (0.012s) 2022-11-23T01:19:25.1908018Z test_listarg3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1908631Z ok (0.012s) 2022-11-23T01:19:25.1909585Z test_listarg4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1910172Z ok (0.012s) 2022-11-23T01:19:25.1911039Z test_listarg5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1911602Z ok (0.013s) 2022-11-23T01:19:25.1912458Z test_load_global_bool_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1913066Z ok (0.010s) 2022-11-23T01:19:25.1913582Z test_map_sum_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1914392Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:25.1914789Z ok (0.032s) 2022-11-23T01:19:25.1915324Z test_methodcall1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1916042Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1916448Z ok (0.018s) 2022-11-23T01:19:25.1916972Z test_methodcall2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1917724Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1918094Z ok (0.016s) 2022-11-23T01:19:25.1918624Z test_methodcall3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1919363Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1919757Z ok (0.016s) 2022-11-23T01:19:25.1920684Z test_min_max_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:19:25.1921271Z ok (0.026s) 2022-11-23T01:19:25.1922167Z test_module_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.1922733Z ok (0.021s) 2022-11-23T01:19:25.1923582Z test_ndim_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1924169Z ok (0.010s) 2022-11-23T01:19:25.1925059Z test_pop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.1925610Z ok (0.019s) 2022-11-23T01:19:25.1926443Z test_reduce_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1927026Z ok (0.020s) 2022-11-23T01:19:25.1927906Z test_return_dict2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1928507Z ok (0.013s) 2022-11-23T01:19:25.1929372Z test_return_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1929941Z ok (0.013s) 2022-11-23T01:19:25.1930803Z test_return_tuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1931398Z ok (0.014s) 2022-11-23T01:19:25.1932411Z test_return_tuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1933014Z ok (0.009s) 2022-11-23T01:19:25.1933531Z test_shape1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1934290Z test_shape2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1935342Z test_slice1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1935861Z ok (0.034s) 2022-11-23T01:19:25.1936665Z test_slice2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1937387Z ok (0.022s) 2022-11-23T01:19:25.1938262Z test_slice3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1938792Z ok (0.054s) 2022-11-23T01:19:25.1939607Z test_slice4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1940148Z ok (0.014s) 2022-11-23T01:19:25.1940935Z test_slice5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1941472Z ok (0.045s) 2022-11-23T01:19:25.1942320Z test_slice6_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1942922Z ok (0.054s) 2022-11-23T01:19:25.1943769Z test_startswith_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1944363Z ok (0.015s) 2022-11-23T01:19:25.1944914Z test_tensor_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... expected failure (0.010s) 2022-11-23T01:19:25.1945737Z test_tensor_new_with_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1946588Z test_tensor_new_with_size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.1947794Z test_transpose_for_scores_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1948428Z ok (0.033s) 2022-11-23T01:19:25.1949310Z test_tuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1949896Z ok (0.011s) 2022-11-23T01:19:25.1950750Z test_tuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1951333Z ok (0.012s) 2022-11-23T01:19:25.1952222Z test_tuple_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1952819Z ok (0.012s) 2022-11-23T01:19:25.1953698Z test_tuple_iadd_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1954398Z ok (0.014s) 2022-11-23T01:19:25.1955230Z test_unpack1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1955823Z ok (0.022s) 2022-11-23T01:19:25.1956701Z test_unpack2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1957288Z ok (0.021s) 2022-11-23T01:19:25.1958144Z test_unpack3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1958741Z ok (0.021s) 2022-11-23T01:19:25.1959680Z test_unpack_ex1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1960281Z ok (0.019s) 2022-11-23T01:19:25.1961244Z test_unpack_ex2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1961861Z ok (0.018s) 2022-11-23T01:19:25.1962755Z test_unpack_ex3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1963358Z ok (0.018s) 2022-11-23T01:19:25.1964241Z test_viamethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1964989Z ok (0.011s) 2022-11-23T01:19:25.1965894Z test_viatorch_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1966482Z ok (0.011s) 2022-11-23T01:19:25.1967262Z test_allow_in_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.1968064Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.1968481Z ok (0.014s) 2022-11-23T01:19:25.1969369Z test_autocast_cpu_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.1969984Z ok (0.015s) 2022-11-23T01:19:25.1970562Z test_autocast_device_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:25.1971377Z test_autocast_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:25.1972214Z test_autocast_float64_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:25.1973066Z test_autograd_function_equivalence_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1973836Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1974205Z ok (0.011s) 2022-11-23T01:19:25.1975155Z test_autograd_profiler_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:19:05 1585:1585 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:25.1976147Z STAGE:2022-11-23 01:19:05 1585:1585 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:25.1976967Z STAGE:2022-11-23 01:19:05 1585:1585 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:25.1977820Z [2022-11-23 01:19:05,966] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:25.1978357Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.1978679Z unimplemented [] 2022-11-23T01:19:25.1979083Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:25.1979668Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1980076Z ok (0.030s) 2022-11-23T01:19:25.1981093Z test_autograd_profiler_enabled_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:19:05 1585:1585 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:25.1982105Z STAGE:2022-11-23 01:19:06 1585:1585 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:25.1982888Z STAGE:2022-11-23 01:19:06 1585:1585 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:25.1983564Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.1983871Z unimplemented [] 2022-11-23T01:19:25.1984418Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)] 2022-11-23T01:19:25.1985062Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.1985452Z ok (0.021s) 2022-11-23T01:19:25.1986338Z test_boolarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:25.1986920Z ok (0.026s) 2022-11-23T01:19:25.1987455Z test_build_tuple_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.1988175Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1988560Z ok (0.030s) 2022-11-23T01:19:25.1989443Z test_builtin_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.1989989Z ok (0.010s) 2022-11-23T01:19:25.1990501Z test_builtin_subclasses_as_method_on_class_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.003s) 2022-11-23T01:19:25.1991289Z test_builtin_subclasses_as_method_on_var_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.004s) 2022-11-23T01:19:25.1992322Z test_callpacked_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.1992861Z ok (0.027s) 2022-11-23T01:19:25.1993571Z test_cell_output1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.1994327Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.1994696Z ok (0.008s) 2022-11-23T01:19:25.1995382Z test_cell_output2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.1995883Z unimplemented [] 2022-11-23T01:19:25.1996542Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.1997325Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.1997684Z ok (0.013s) 2022-11-23T01:19:25.1998552Z test_change_backends_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:25.1999229Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.1999504Z ok (0.029s) 2022-11-23T01:19:25.2000168Z test_cond_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:25.2000758Z unimplemented [] 2022-11-23T01:19:25.2001352Z graph_break [('Fake tensor mode not yet supported for cond', 2)] 2022-11-23T01:19:25.2001965Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2002330Z ok (0.022s) 2022-11-23T01:19:25.2003172Z test_cond_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:25.2003746Z ok (0.025s) 2022-11-23T01:19:25.2004606Z test_cond_export_single_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)] 2022-11-23T01:19:25.2005441Z ok (0.014s) 2022-11-23T01:19:25.2006110Z test_cond_nested_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:19:25.2006748Z unimplemented [] 2022-11-23T01:19:25.2007244Z graph_break [('Fake tensor mode not yet supported for cond', 6)] 2022-11-23T01:19:25.2007839Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:19:25.2008202Z ok (0.056s) 2022-11-23T01:19:25.2008939Z test_cond_nested_fake_tensor_off_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2009669Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:25.2010034Z ok (0.025s) 2022-11-23T01:19:25.2010795Z test_config_getattr_default_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2011518Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)] 2022-11-23T01:19:25.2011907Z ok (0.052s) 2022-11-23T01:19:25.2012628Z test_config_log_level_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2013364Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2013754Z ok (0.010s) 2022-11-23T01:19:25.2014433Z test_config_obj_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2015168Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:19:25.2015545Z ok (0.031s) 2022-11-23T01:19:25.2016093Z test_const_dict_variable_python_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:25.2017510Z test_cross_entropy_loss_fancy_ctor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:19:25.2018402Z warnings.warn(warning.format(ret)) 2022-11-23T01:19:25.2018753Z ok (0.002s) 2022-11-23T01:19:25.2019333Z test_cross_entropy_loss_simple_ctor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:19:25.2020367Z test_dataclass_fields_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2020917Z inline_call [] 2022-11-23T01:19:25.2021446Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2021805Z ok (0.045s) 2022-11-23T01:19:25.2022562Z test_dict_mutation_side_effect_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2023332Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2023718Z ok (0.009s) 2022-11-23T01:19:25.2024618Z test_dict_reconstruct_keeps_original_order_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 13), ('ok', 12)] 2022-11-23T01:19:25.2025621Z unimplemented [("Guard setup for uninitialized class ", 1)] 2022-11-23T01:19:25.2027317Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)] 2022-11-23T01:19:25.2028519Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:25.2028988Z ok (0.040s) 2022-11-23T01:19:25.2029738Z test_dictcomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2030253Z inline_call [] 2022-11-23T01:19:25.2030770Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2031139Z ok (0.011s) 2022-11-23T01:19:25.2031658Z test_disable_optimize_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:19:25.2032635Z test_disallow_in_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2033158Z unimplemented [] 2022-11-23T01:19:25.2033845Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)] 2022-11-23T01:19:25.2034575Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2034974Z ok (0.018s) 2022-11-23T01:19:25.2035526Z test_dunder_methods_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2036290Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2036689Z ok (0.033s) 2022-11-23T01:19:25.2037229Z test_duplicate_graph_break_warning_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... break 2022-11-23T01:19:25.2037760Z break 2022-11-23T01:19:25.2038141Z frames [('total', 9), ('ok', 9)] 2022-11-23T01:19:25.2038726Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)] 2022-11-23T01:19:25.2039151Z unimplemented [] 2022-11-23T01:19:25.2039722Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)] 2022-11-23T01:19:25.2040390Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)] 2022-11-23T01:19:25.2040886Z ok (0.055s) 2022-11-23T01:19:25.2041848Z test_dynamo_min_operator_with_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2042391Z ok (0.009s) 2022-11-23T01:19:25.2043029Z test_empty_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2043751Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2044139Z ok (0.019s) 2022-11-23T01:19:25.2047814Z test_enum_no_graphbreaks_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2048282Z ok (0.015s) 2022-11-23T01:19:25.2048786Z test_error_on_nested_fx_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2049241Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2049460Z ok (0.009s) 2022-11-23T01:19:25.2050082Z test_fold_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2050416Z ok (0.008s) 2022-11-23T01:19:25.2050930Z test_frozenset_torch_func_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2051269Z ok (0.013s) 2022-11-23T01:19:25.2051765Z test_function_annotation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2052110Z ok (0.014s) 2022-11-23T01:19:25.2052620Z test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2052966Z unimplemented [] 2022-11-23T01:19:25.2053190Z graph_break [('numpy', 1)] 2022-11-23T01:19:25.2053502Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2053720Z ok (0.008s) 2022-11-23T01:19:25.2054123Z test_grad_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2054441Z unimplemented [] 2022-11-23T01:19:25.2054669Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:19:25.2055002Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2055232Z ok (0.026s) 2022-11-23T01:19:25.2055639Z test_grad_mode_guard_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2055952Z unimplemented [] 2022-11-23T01:19:25.2056192Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:25.2056514Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2056728Z ok (0.024s) 2022-11-23T01:19:25.2057145Z test_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2057452Z unimplemented [] 2022-11-23T01:19:25.2057816Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)] 2022-11-23T01:19:25.2058223Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:25.2058453Z ok (0.031s) 2022-11-23T01:19:25.2058921Z test_id_of_nn_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2059260Z ok (0.014s) 2022-11-23T01:19:25.2059749Z test_if_cond_nn_mod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2060090Z ok (0.017s) 2022-11-23T01:19:25.2060503Z test_inference_mode_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2060937Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2061165Z ok (0.010s) 2022-11-23T01:19:25.2061588Z test_inline_dict_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2061880Z inline_call [] 2022-11-23T01:19:25.2062185Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2062412Z ok (0.008s) 2022-11-23T01:19:25.2062894Z test_inline_func_jump_on_tensor_condition_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2063338Z inline_call [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:25.2063562Z unimplemented [] 2022-11-23T01:19:25.2063812Z graph_break [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:25.2064151Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:25.2064378Z ok (0.018s) 2022-11-23T01:19:25.2064804Z test_inline_list_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2065093Z inline_call [] 2022-11-23T01:19:25.2065395Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2065622Z ok (0.007s) 2022-11-23T01:19:25.2066080Z test_inplace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2066453Z ok (0.010s) 2022-11-23T01:19:25.2066950Z test_inplace_param_update_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2067296Z ok (0.009s) 2022-11-23T01:19:25.2067769Z test_is_floating_point2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2068106Z ok (0.014s) 2022-11-23T01:19:25.2068592Z test_is_floating_point_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2068937Z ok (0.015s) 2022-11-23T01:19:25.2069331Z test_is_tensor2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2069758Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2069991Z ok (0.015s) 2022-11-23T01:19:25.2070449Z test_is_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2070786Z ok (0.014s) 2022-11-23T01:19:25.2071204Z test_is_tensor_like2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2071515Z unimplemented [] 2022-11-23T01:19:25.2071832Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)] 2022-11-23T01:19:25.2072211Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2072437Z ok (0.011s) 2022-11-23T01:19:25.2072968Z test_is_tensor_like_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2073304Z ok (0.012s) 2022-11-23T01:19:25.2073796Z test_item_changes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2074129Z ok (0.015s) 2022-11-23T01:19:25.2074612Z test_item_changes_new_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2074955Z ok (0.015s) 2022-11-23T01:19:25.2075419Z test_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2075734Z ok (0.008s) 2022-11-23T01:19:25.2076043Z test_large_reduction_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.012s) 2022-11-23T01:19:25.2076502Z test_linetable_writer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:25.2077065Z test_list_append_return_none_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2077488Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2077716Z ok (0.007s) 2022-11-23T01:19:25.2078121Z test_list_mul_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2078410Z ok (0.002s) 2022-11-23T01:19:25.2078802Z test_listcomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2079123Z inline_call [] 2022-11-23T01:19:25.2079427Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2079639Z ok (0.014s) 2022-11-23T01:19:25.2079972Z test_lnotab_writer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: use lnotab when python < 3.10 (0.000s) 2022-11-23T01:19:25.2080677Z test_manual_seed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2081020Z ok (0.014s) 2022-11-23T01:19:25.2081476Z test_matmul1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2081802Z ok (0.009s) 2022-11-23T01:19:25.2082109Z test_module_complex_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.011s) 2022-11-23T01:19:25.2082665Z test_module_deepcopy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:25.2082980Z unimplemented [] 2022-11-23T01:19:25.2083307Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)] 2022-11-23T01:19:25.2083554Z inline_call [] 2022-11-23T01:19:25.2083848Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2084074Z ok (0.053s) 2022-11-23T01:19:25.2084376Z test_named_parameters_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.024s) 2022-11-23T01:19:25.2085072Z test_namedtuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2085504Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2085736Z ok (0.010s) 2022-11-23T01:19:25.2086160Z test_namedtuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2086570Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2086797Z ok (0.012s) 2022-11-23T01:19:25.2087212Z test_namedtuple3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2087630Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2087854Z ok (0.009s) 2022-11-23T01:19:25.2088252Z test_nan_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2088670Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2088889Z ok (0.009s) 2022-11-23T01:19:25.2089193Z test_nested_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2089623Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)] 2022-11-23T01:19:25.2089899Z ok (0.031s) 2022-11-23T01:19:25.2090210Z test_nested_closure_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2090647Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)] 2022-11-23T01:19:25.2090878Z ok (0.021s) 2022-11-23T01:19:25.2091479Z test_nested_disable_decorator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:19:07,267] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 2022-11-23T01:19:25.2091896Z due to: 2022-11-23T01:19:25.2092083Z Traceback (most recent call last): 2022-11-23T01:19:25.2092441Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented 2022-11-23T01:19:25.2092762Z raise Unsupported(msg) 2022-11-23T01:19:25.2093124Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function .fn1 at 0x7fc42c870790> 2022-11-23T01:19:25.2093390Z 2022-11-23T01:19:25.2093463Z from user code: 2022-11-23T01:19:25.2093695Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3 2022-11-23T01:19:25.2093932Z return fn2(x) 2022-11-23T01:19:25.2094176Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2 2022-11-23T01:19:25.2094405Z x = fn1(x) # graph break 2022-11-23T01:19:25.2094523Z 2022-11-23T01:19:25.2094652Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:25.2094811Z 2022-11-23T01:19:25.2094816Z 2022-11-23T01:19:25.2094939Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2095132Z unimplemented [] 2022-11-23T01:19:25.2095562Z graph_break [('call torch._dynamo.disable() wrapped function .fn1 at 0x7fc42c870790>', 1)] 2022-11-23T01:19:25.2096003Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2096484Z inline_call [('call torch._dynamo.disable() wrapped function .fn1 at 0x7fc42c870790>', 1)] 2022-11-23T01:19:25.2096770Z ok (0.029s) 2022-11-23T01:19:25.2097088Z test_nested_optimize_decorator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2097517Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2097746Z ok (0.019s) 2022-11-23T01:19:25.2098217Z test_nested_optimize_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.2098557Z ok (0.027s) 2022-11-23T01:19:25.2099047Z test_nested_optimize_run_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.2099374Z ok (0.029s) 2022-11-23T01:19:25.2099686Z test_nn_sequential_invocation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2100118Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2100343Z ok (0.035s) 2022-11-23T01:19:25.2100661Z test_nn_sequential_invocation_reposition_indices_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2101105Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2101328Z ok (0.027s) 2022-11-23T01:19:25.2101747Z test_no_error_on_nested_fx_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2102224Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2102455Z ok (0.010s) 2022-11-23T01:19:25.2102933Z test_no_grad_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)] 2022-11-23T01:19:25.2103247Z ok (0.121s) 2022-11-23T01:19:25.2103720Z test_numel_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2104044Z ok (0.014s) 2022-11-23T01:19:25.2104457Z test_numpy_int_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2104888Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2105151Z ok (0.010s) 2022-11-23T01:19:25.2105588Z test_numpy_variable_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2106019Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2106242Z ok (0.007s) 2022-11-23T01:19:25.2106552Z test_object_classmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2106972Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2107187Z ok (0.006s) 2022-11-23T01:19:25.2107494Z test_object_staticmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2107911Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2108129Z ok (0.006s) 2022-11-23T01:19:25.2108625Z test_onnx_shape_as_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)] 2022-11-23T01:19:25.2108970Z ok (0.029s) 2022-11-23T01:19:25.2109453Z test_optimize_on_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2109774Z ok (0.009s) 2022-11-23T01:19:25.2110240Z test_pair_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:25.2110565Z ok (0.017s) 2022-11-23T01:19:25.2110963Z test_python_slice_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2111386Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2111616Z ok (0.035s) 2022-11-23T01:19:25.2112039Z test_raise_on_backend_error_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:19:25.2112420Z stats [('calls_captured', 3), ('fusions_possible', 2)] 2022-11-23T01:19:25.2112630Z ok (0.011s) 2022-11-23T01:19:25.2113037Z test_raises_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2113328Z unimplemented [] 2022-11-23T01:19:25.2113646Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2114017Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2114230Z ok (0.019s) 2022-11-23T01:19:25.2114533Z test_rand_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:25.2114961Z test_range_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2115416Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2115633Z ok (0.014s) 2022-11-23T01:19:25.2116075Z test_recursive_inline_list_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2116394Z inline_call [] 2022-11-23T01:19:25.2116678Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.2116911Z ok (0.017s) 2022-11-23T01:19:25.2117515Z test_release_input_memory_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2117950Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2118210Z ok (0.007s) 2022-11-23T01:19:25.2118640Z test_release_module_memory_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2119075Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2119291Z ok (0.015s) 2022-11-23T01:19:25.2119811Z test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2120170Z ok (0.019s) 2022-11-23T01:19:25.2120663Z test_return_nested_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2121099Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:19:25.2121329Z ok (0.024s) 2022-11-23T01:19:25.2121629Z test_sample_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (1.320s) 2022-11-23T01:19:25.2122179Z test_setattr_mutation1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2122685Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)] 2022-11-23T01:19:25.2123216Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) ", 1)] 2022-11-23T01:19:25.2123569Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2123874Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:19:25.2124101Z ok (0.032s) 2022-11-23T01:19:25.2124526Z test_setattr_mutation2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2124942Z inline_call [] 2022-11-23T01:19:25.2125236Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:25.2125464Z ok (0.023s) 2022-11-23T01:19:25.2125888Z test_setattr_mutation3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2126181Z inline_call [] 2022-11-23T01:19:25.2126482Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:25.2126713Z ok (0.024s) 2022-11-23T01:19:25.2127116Z test_shape_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2127542Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2127767Z ok (0.009s) 2022-11-23T01:19:25.2128219Z test_side_effects_codegen_update_mutated_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:25.2128541Z unimplemented [] 2022-11-23T01:19:25.2128773Z graph_break [('Tensor.item', 4)] 2022-11-23T01:19:25.2129153Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:19:25.2129368Z ok (0.054s) 2022-11-23T01:19:25.2129776Z test_size_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2130200Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2130427Z ok (0.016s) 2022-11-23T01:19:25.2130888Z test_slice_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:25.2131214Z ok (0.020s) 2022-11-23T01:19:25.2131544Z test_tensor_build_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.2132223Z test_tensor_data_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2132550Z ok (0.010s) 2022-11-23T01:19:25.2132965Z test_tensor_dict1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2133391Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2133611Z ok (0.009s) 2022-11-23T01:19:25.2134025Z test_tensor_dict2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2134454Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:25.2134666Z ok (0.023s) 2022-11-23T01:19:25.2135105Z test_tensor_dot_grad_no_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2135426Z unimplemented [] 2022-11-23T01:19:25.2135669Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:19:25.2135984Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2136208Z ok (0.026s) 2022-11-23T01:19:25.2136639Z test_tensor_is_contiguous_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2137058Z stats [('calls_captured', 10), ('fusions_possible', 8), ('unique_graphs', 2)] 2022-11-23T01:19:25.2137287Z ok (0.021s) 2022-11-23T01:19:25.2137710Z test_tensor_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2138144Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2138360Z ok (0.013s) 2022-11-23T01:19:25.2138790Z test_tensor_item_no_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2139103Z unimplemented [] 2022-11-23T01:19:25.2139324Z graph_break [('Tensor.item', 1)] 2022-11-23T01:19:25.2139639Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2139861Z ok (0.012s) 2022-11-23T01:19:25.2140330Z test_tensor_layout_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2140664Z ok (0.010s) 2022-11-23T01:19:25.2141076Z test_tensor_types_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 10), ('ok', 10)] 2022-11-23T01:19:25.2141507Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)] 2022-11-23T01:19:25.2141721Z ok (0.035s) 2022-11-23T01:19:25.2142245Z test_top_package_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2142589Z ok (0.009s) 2022-11-23T01:19:25.2143072Z test_torch_cuda_is_available_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2143416Z ok (0.007s) 2022-11-23T01:19:25.2143858Z test_torch_nn_parameter_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2144299Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2144514Z ok (0.009s) 2022-11-23T01:19:25.2145049Z test_torch_profiler_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:19:09 1585:1585 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:25.2145639Z STAGE:2022-11-23 01:19:09 1585:1585 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:25.2146088Z STAGE:2022-11-23 01:19:09 1585:1585 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:25.2146492Z [2022-11-23 01:19:09,490] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:25.2146887Z [2022-11-23 01:19:09,493] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:25.2147173Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2147350Z unimplemented [] 2022-11-23T01:19:25.2147585Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:25.2147909Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2148138Z ok (0.029s) 2022-11-23T01:19:25.2148600Z test_torch_seed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2148934Z ok (0.008s) 2022-11-23T01:19:25.2149403Z test_torch_size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2149713Z ok (0.014s) 2022-11-23T01:19:25.2150122Z test_type_copy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2150543Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2150767Z ok (0.024s) 2022-11-23T01:19:25.2151188Z test_typing_variable_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2151627Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2151853Z ok (0.010s) 2022-11-23T01:19:25.2152314Z test_unpack4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:25.2152641Z ok (0.028s) 2022-11-23T01:19:25.2153110Z test_unpack5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:25.2153429Z ok (0.023s) 2022-11-23T01:19:25.2154008Z test_unsupported_fake_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:19:09,639] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 2022-11-23T01:19:25.2154418Z due to: 2022-11-23T01:19:25.2154605Z Traceback (most recent call last): 2022-11-23T01:19:25.2154941Z File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key 2022-11-23T01:19:25.2155281Z raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") 2022-11-23T01:19:25.2155692Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta 2022-11-23T01:19:25.2155920Z 2022-11-23T01:19:25.2156062Z During handling of the above exception, another exception occurred: 2022-11-23T01:19:25.2156228Z 2022-11-23T01:19:25.2156309Z Traceback (most recent call last): 2022-11-23T01:19:25.2156700Z File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 1015, in to_real_tensor 2022-11-23T01:19:25.2157011Z out = torch.zeros_like(e, device=e.fake_device) 2022-11-23T01:19:25.2157288Z RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides 2022-11-23T01:19:25.2157445Z 2022-11-23T01:19:25.2157582Z The above exception was the direct cause of the following exception: 2022-11-23T01:19:25.2157750Z 2022-11-23T01:19:25.2157878Z Traceback (most recent call last): 2022-11-23T01:19:25.2158239Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node 2022-11-23T01:19:25.2158492Z raise RuntimeError( 2022-11-23T01:19:25.2159019Z RuntimeError: Failed running call_function (*(FakeTensor(FakeTensor(..., device='meta', size=(s0, s0)), cpu), 0.1, 10, torch.quint8), **{}): 2022-11-23T01:19:25.2159420Z Cannot call strides() on tensor with symbolic sizes/strides 2022-11-23T01:19:25.2159650Z (scroll up for backtrace) 2022-11-23T01:19:25.2159757Z 2022-11-23T01:19:25.2159894Z The above exception was the direct cause of the following exception: 2022-11-23T01:19:25.2160064Z 2022-11-23T01:19:25.2160160Z Traceback (most recent call last): 2022-11-23T01:19:25.2160525Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value 2022-11-23T01:19:25.2160887Z raise TorchRuntimeError() from e 2022-11-23T01:19:25.2161132Z torch._dynamo.exc.TorchRuntimeError: 2022-11-23T01:19:25.2161279Z 2022-11-23T01:19:25.2161351Z from user code: 2022-11-23T01:19:25.2161596Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f 2022-11-23T01:19:25.2161871Z return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8) 2022-11-23T01:19:25.2162023Z 2022-11-23T01:19:25.2162153Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:25.2162310Z 2022-11-23T01:19:25.2162314Z 2022-11-23T01:19:25.2162423Z frames [('total', 1)] 2022-11-23T01:19:25.2162713Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2162944Z ok (0.025s) 2022-11-23T01:19:25.2163410Z test_update_locals_and_stack_uses_shared_cache_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2163734Z inline_call [] 2022-11-23T01:19:25.2163898Z unimplemented [] 2022-11-23T01:19:25.2164226Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)] 2022-11-23T01:19:25.2164471Z ok (0.019s) 2022-11-23T01:19:25.2165070Z test_user_defined_class_name_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2165416Z ok (0.017s) 2022-11-23T01:19:25.2165753Z test_user_function_variable_supports_enum_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2166072Z ok (0.009s) 2022-11-23T01:19:25.2166397Z test_user_function_variable_supports_function_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2166846Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2167076Z ok (0.010s) 2022-11-23T01:19:25.2167402Z test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2167913Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2168138Z ok (0.009s) 2022-11-23T01:19:25.2168556Z test_user_getattr1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2168843Z inline_call [] 2022-11-23T01:19:25.2169145Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2169373Z ok (0.010s) 2022-11-23T01:19:25.2169776Z test_user_getattr2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2170079Z inline_call [] 2022-11-23T01:19:25.2170380Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2170641Z ok (0.011s) 2022-11-23T01:19:25.2171053Z test_user_property_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2171356Z inline_call [] 2022-11-23T01:19:25.2171655Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2171868Z ok (0.009s) 2022-11-23T01:19:25.2172180Z test_usr_cls_classmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2172605Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2172815Z ok (0.014s) 2022-11-23T01:19:25.2173126Z test_usr_cls_staticmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2173550Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2173776Z ok (0.014s) 2022-11-23T01:19:25.2174060Z test_version_ci_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:25.2174490Z test_write_to_closures_in_inlining_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2174919Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2175128Z ok (0.011s) 2022-11-23T01:19:25.2175614Z test_basicmodule1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2175943Z ok (0.026s) 2022-11-23T01:19:25.2176421Z test_basicmodule2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2176743Z ok (0.026s) 2022-11-23T01:19:25.2177059Z test_call_fn_with_non_const_inputs_safe_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2177497Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2177711Z ok (0.261s) 2022-11-23T01:19:25.2178179Z test_cfgmod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2178506Z ok (0.043s) 2022-11-23T01:19:25.2178976Z test_children_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2179290Z ok (0.034s) 2022-11-23T01:19:25.2179759Z test_constloop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2180098Z ok (0.051s) 2022-11-23T01:19:25.2180393Z test_densenet_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2180825Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.2181052Z ok (0.041s) 2022-11-23T01:19:25.2181348Z test_enumvalues_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2181750Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.2181972Z ok (0.034s) 2022-11-23T01:19:25.2182440Z test_fnmember_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2182770Z ok (0.022s) 2022-11-23T01:19:25.2183236Z test_fnmembercmp1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2183601Z ok (0.022s) 2022-11-23T01:19:25.2184082Z test_fnmembercmp2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2184404Z ok (0.024s) 2022-11-23T01:19:25.2184706Z test_forward_directly_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2185127Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2185383Z ok (0.036s) 2022-11-23T01:19:25.2185666Z test_generation_tag_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.003s) 2022-11-23T01:19:25.2186262Z test_hasattr_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2186594Z ok (0.017s) 2022-11-23T01:19:25.2187049Z test_intarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2187379Z ok (0.023s) 2022-11-23T01:19:25.2187847Z test_iseval1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2188171Z ok (0.022s) 2022-11-23T01:19:25.2188626Z test_iseval2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2188947Z ok (0.022s) 2022-11-23T01:19:25.2189423Z test_isnonelayer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2189763Z ok (0.018s) 2022-11-23T01:19:25.2190224Z test_istraining1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2190550Z ok (0.021s) 2022-11-23T01:19:25.2191025Z test_istraining2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2191354Z ok (0.021s) 2022-11-23T01:19:25.2191814Z test_layerlist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2192148Z ok (0.029s) 2022-11-23T01:19:25.2192834Z test_lazy_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:25.2193477Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:25.2194136Z [2022-11-23 01:19:10,622] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [SizeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:19:25.2194888Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:25.2195375Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:25.2195945Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:25.2196452Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:25.2197125Z [2022-11-23 01:19:10,662] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [SizeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:19:25.2197869Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:25.2198349Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:25.2198624Z frames [('total', 16), ('ok', 14)] 2022-11-23T01:19:25.2199370Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)] 2022-11-23T01:19:25.2200042Z unimplemented [("Guard setup for uninitialized class ", 2)] 2022-11-23T01:19:25.2200446Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)] 2022-11-23T01:19:25.2200878Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:25.2201108Z ok (0.114s) 2022-11-23T01:19:25.2201430Z test_module_attribute_precedence_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2201861Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2202076Z ok (0.021s) 2022-11-23T01:19:25.2202386Z test_module_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2202811Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:25.2203027Z ok (0.055s) 2022-11-23T01:19:25.2203518Z test_module_name_string_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2203855Z ok (0.024s) 2022-11-23T01:19:25.2204157Z test_module_property_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2204565Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2204900Z ok (0.017s) 2022-11-23T01:19:25.2205209Z test_module_static_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2205617Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:25.2205848Z ok (0.055s) 2022-11-23T01:19:25.2206394Z test_moduledict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2206725Z ok (0.017s) 2022-11-23T01:19:25.2207189Z test_modulelist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)] 2022-11-23T01:19:25.2207520Z ok (0.185s) 2022-11-23T01:19:25.2207824Z test_modulemethod1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2208224Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:25.2208452Z ok (0.056s) 2022-11-23T01:19:25.2208755Z test_modulemethod2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2209205Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:25.2209417Z ok (0.055s) 2022-11-23T01:19:25.2209912Z test_nn_moduledict_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:25.2210307Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:25.2210568Z inline_call [('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:25.2211033Z unimplemented [("Guard setup for uninitialized class .M'>", 1)] 2022-11-23T01:19:25.2211432Z graph_break [('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:25.2211639Z ok (0.025s) 2022-11-23T01:19:25.2211928Z test_parameters1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2212349Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2212572Z ok (0.014s) 2022-11-23T01:19:25.2212859Z test_parameters2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2213266Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2213491Z ok (0.014s) 2022-11-23T01:19:25.2213966Z test_parameters3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2214287Z ok (0.031s) 2022-11-23T01:19:25.2214761Z test_self_mutating1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:25.2215094Z ok (0.054s) 2022-11-23T01:19:25.2215541Z test_seq_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2215867Z ok (0.033s) 2022-11-23T01:19:25.2216486Z test_simple_torch_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:25.2217012Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:25.2217513Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:25.2217922Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:25.2218174Z inline_call [] 2022-11-23T01:19:25.2218472Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2218689Z ok (0.026s) 2022-11-23T01:19:25.2219218Z test_stringmember_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2219557Z ok (0.022s) 2022-11-23T01:19:25.2219843Z test_submodules1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2220259Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.2220482Z ok (0.049s) 2022-11-23T01:19:25.2220779Z test_submodules2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2221176Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.2221397Z ok (0.050s) 2022-11-23T01:19:25.2221691Z test_super1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2222134Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2222360Z ok (0.029s) 2022-11-23T01:19:25.2222668Z test_super_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2223090Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2223302Z ok (0.012s) 2022-11-23T01:19:25.2223781Z test_tensorlist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2224108Z ok (0.033s) 2022-11-23T01:19:25.2224724Z test_torch_function_with_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:25.2225254Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:25.2225773Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:25.2226176Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:25.2226547Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2226770Z ok (0.022s) 2022-11-23T01:19:25.2227199Z test_unsupportedmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2227722Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2228005Z unimplemented [] 2022-11-23T01:19:25.2228384Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2228802Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:19:25.2229018Z ok (0.054s) 2022-11-23T01:19:25.2229447Z test_unsupportedmodule_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2229964Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2230253Z unimplemented [] 2022-11-23T01:19:25.2230621Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2231032Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:25.2231257Z ok (0.053s) 2022-11-23T01:19:25.2231547Z test_viamodulecall_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2231973Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2232201Z ok (0.027s) 2022-11-23T01:19:25.2232625Z test_Size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2233098Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:25.2233367Z unimplemented [] 2022-11-23T01:19:25.2233716Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:25.2234090Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2234315Z ok (0.012s) 2022-11-23T01:19:25.2234729Z test_abc_setattr_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2235019Z unimplemented [] 2022-11-23T01:19:25.2235484Z graph_break [('setattr(UserDefinedObjectVariable) .Derived.__setattr__ at 0x7fc4016e1c60>', 1)] 2022-11-23T01:19:25.2235792Z inline_call [] 2022-11-23T01:19:25.2236095Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2236309Z ok (0.015s) 2022-11-23T01:19:25.2236609Z test_batch_norm_act_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2237025Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2237239Z ok (0.072s) 2022-11-23T01:19:25.2237677Z test_bigbird_unsqueeze_inplace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2238116Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2238408Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2238586Z ok (0.615s) 2022-11-23T01:19:25.2238879Z test_boxes_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2239291Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2239504Z ok (0.015s) 2022-11-23T01:19:25.2239830Z test_chunk_reformer_ff_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.2240464Z test_class_member_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2240873Z ok (0.018s) 2022-11-23T01:19:25.2241306Z test_convert_boxes_to_pooler_format_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2241620Z inline_call [] 2022-11-23T01:19:25.2241800Z unimplemented [] 2022-11-23T01:19:25.2242101Z graph_break [('dynamic shape operator: aten.repeat_interleave.Tensor', 2)] 2022-11-23T01:19:25.2242477Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)] 2022-11-23T01:19:25.2242728Z expected failure (0.099s) 2022-11-23T01:19:25.2243070Z test_create_rand_mask_from_inputs_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:19:25.2243523Z test_dict_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.005s) 2022-11-23T01:19:25.2244056Z test_dict_list_values_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:25.2244364Z unimplemented [] 2022-11-23T01:19:25.2244917Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)] 2022-11-23T01:19:25.2245237Z ok (0.032s) 2022-11-23T01:19:25.2245693Z test_do_paste_mask_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:19:25.2246002Z expected failure (0.024s) 2022-11-23T01:19:25.2246483Z test_ellipsis_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2246814Z ok (0.128s) 2022-11-23T01:19:25.2247225Z test_exec_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:25.2247655Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2247908Z unimplemented [] 2022-11-23T01:19:25.2248234Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2248571Z ok (0.004s) 2022-11-23T01:19:25.2248990Z test_exec_wildcard_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:25.2249445Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2249696Z unimplemented [] 2022-11-23T01:19:25.2250009Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2250385Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2250615Z ok (0.012s) 2022-11-23T01:19:25.2251054Z test_for_loop_graph_break_before_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2251355Z unimplemented [] 2022-11-23T01:19:25.2251727Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:19:25.2252003Z inline_call [] 2022-11-23T01:19:25.2252295Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)] 2022-11-23T01:19:25.2252523Z ok (0.222s) 2022-11-23T01:19:25.2252952Z test_for_loop_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2253243Z inline_call [] 2022-11-23T01:19:25.2253617Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:19:25.2254019Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2254244Z ok (0.016s) 2022-11-23T01:19:25.2254538Z test_get_parameter_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2254963Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2255190Z ok (0.016s) 2022-11-23T01:19:25.2255513Z test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... Break 2022-11-23T01:19:25.2255878Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2256067Z unimplemented [] 2022-11-23T01:19:25.2256395Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2256763Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2256985Z ok (0.018s) 2022-11-23T01:19:25.2257421Z test_guard_fail_nested_tuple_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2257619Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2257673Z ok (0.017s) 2022-11-23T01:19:25.2258009Z test_guard_fail_tensor_bool_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 12), ('ok', 12)] 2022-11-23T01:19:25.2258213Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)] 2022-11-23T01:19:25.2258690Z graph_break [('call torch._dynamo.disable() wrapped function .fn..get_expected at 0x7fc4017af400>', 5), ('data dependent operator: aten.allclose.default', 5)] 2022-11-23T01:19:25.2258887Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)] 2022-11-23T01:19:25.2258954Z ok (0.102s) 2022-11-23T01:19:25.2259169Z test_guard_ordering_shape_fail_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:25.2259378Z test_hf_model_output_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2259564Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:19:25.2259632Z ok (0.071s) 2022-11-23T01:19:25.2259867Z test_hf_t5_forward_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2260071Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)] 2022-11-23T01:19:25.2260154Z expected failure (0.569s) 2022-11-23T01:19:25.2260480Z test_indexing_with_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2260609Z inline_call [('Tensor.numpy', 1)] 2022-11-23T01:19:25.2260817Z unimplemented [('COMPARE_OP ConstantVariable(tuple) == SizeVariable()', 1)] 2022-11-23T01:19:25.2260931Z graph_break [('Tensor.numpy', 1)] 2022-11-23T01:19:25.2260999Z ok (0.023s) 2022-11-23T01:19:25.2261209Z test_is_symbolic_tracing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2261407Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2261476Z ok (0.009s) 2022-11-23T01:19:25.2261686Z test_isinstance_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.004s) 2022-11-23T01:19:25.2262376Z test_isinstance_storage_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:19:25.2262480Z warnings.warn(message, UserWarning) 2022-11-23T01:19:25.2262603Z frames [('total', 12), ('ok', 11)] 2022-11-23T01:19:25.2262667Z unimplemented [] 2022-11-23T01:19:25.2263041Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:19:25.2263306Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:19:25.2263390Z expected failure (0.015s) 2022-11-23T01:19:25.2263604Z test_issue1466_size_aot_autograd_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... arf 2022-11-23T01:19:25.2263666Z arf 2022-11-23T01:19:25.2263785Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2263861Z unimplemented [] 2022-11-23T01:19:25.2264069Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2264265Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2264395Z aot_autograd [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2264461Z ok (0.226s) 2022-11-23T01:19:25.2264661Z test_issue175_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2264863Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:19:25.2264936Z ok (0.156s) 2022-11-23T01:19:25.2265348Z test_longformer_chunk_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 76), ('fusions_possible', 72), ('unique_graphs', 4)] 2022-11-23T01:19:25.2265420Z ok (2.057s) 2022-11-23T01:19:25.2265742Z test_maml_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2265943Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:19:25.2266020Z unimplemented [] 2022-11-23T01:19:25.2266331Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:19:25.2266532Z stats [('calls_captured', 36), ('fusions_possible', 33), ('unique_graphs', 3)] 2022-11-23T01:19:25.2266598Z ok (0.085s) 2022-11-23T01:19:25.2266956Z test_maml_no_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:25.2267146Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:19:25.2267224Z unimplemented [] 2022-11-23T01:19:25.2267557Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:19:25.2267757Z stats [('calls_captured', 36), ('fusions_possible', 31), ('unique_graphs', 5)] 2022-11-23T01:19:25.2267825Z ok (0.118s) 2022-11-23T01:19:25.2268201Z test_modules_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2268268Z ok (0.038s) 2022-11-23T01:19:25.2268589Z test_multi_dot_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2268867Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:19:25.2268946Z unimplemented [] 2022-11-23T01:19:25.2269230Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:19:25.2269427Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2269493Z ok (0.018s) 2022-11-23T01:19:25.2269719Z test_multi_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires detectron2 (0.000s) 2022-11-23T01:19:25.2270104Z test_named_buffers_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2270169Z ok (0.028s) 2022-11-23T01:19:25.2270492Z test_nn_parameter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2270721Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:25.2270798Z unimplemented [] 2022-11-23T01:19:25.2271032Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:25.2271229Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2271295Z ok (0.010s) 2022-11-23T01:19:25.2271665Z test_not_rewrite_assert_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:25.2271732Z ok (0.009s) 2022-11-23T01:19:25.2272084Z test_not_rewrite_assert_for_other_errors_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2272272Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2272336Z ok (0.012s) 2022-11-23T01:19:25.2272683Z test_numpy_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:25.2272765Z unimplemented [] 2022-11-23T01:19:25.2273076Z graph_break [('call torch._dynamo.disable() wrapped function .rand_gen at 0x7fc4010f4310>', 1)] 2022-11-23T01:19:25.2273159Z expected failure (0.024s) 2022-11-23T01:19:25.2273489Z test_optimized_deepcopy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2273686Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2273741Z ok (0.021s) 2022-11-23T01:19:25.2274052Z test_primtorch_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2274361Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:19:25.2274437Z unimplemented [] 2022-11-23T01:19:25.2274714Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:19:25.2274786Z ok (0.010s) 2022-11-23T01:19:25.2275269Z test_primtorch_no_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:19:25.2275352Z expected failure (0.005s) 2022-11-23T01:19:25.2275661Z test_recursive_map_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2275736Z inline_call [] 2022-11-23T01:19:25.2275934Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2275999Z ok (0.026s) 2022-11-23T01:19:25.2276207Z test_reformer_eval_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2276406Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:19:25.2276474Z ok (0.401s) 2022-11-23T01:19:25.2276687Z test_reformer_min_chunk_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2276872Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2276938Z ok (0.012s) 2022-11-23T01:19:25.2277145Z test_reformer_sorting_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:25.2277344Z stats [('calls_captured', 28), ('fusions_possible', 27), ('unique_graphs', 1)] 2022-11-23T01:19:25.2277412Z ok (0.078s) 2022-11-23T01:19:25.2277736Z test_reformer_train_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2278030Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:19:25.2278106Z unimplemented [] 2022-11-23T01:19:25.2278468Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:19:25.2278656Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:19:25.2278722Z ok (0.349s) 2022-11-23T01:19:25.2279087Z test_reinplacing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:25.2279211Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2279406Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2279569Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2279637Z ok (1.462s) 2022-11-23T01:19:25.2280011Z test_relative_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2280080Z ok (0.026s) 2022-11-23T01:19:25.2280489Z test_relative_import_no_modulename_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2280627Z ok (0.021s) 2022-11-23T01:19:25.2281028Z test_rewrite_assert_noop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:25.2281132Z ok (0.044s) 2022-11-23T01:19:25.2281519Z test_rewrite_assert_with_fstring_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:25.2281586Z ok (0.009s) 2022-11-23T01:19:25.2281989Z test_rewrite_assert_with_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)] 2022-11-23T01:19:25.2282056Z ok (0.048s) 2022-11-23T01:19:25.2282450Z test_rewrite_assert_without_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)] 2022-11-23T01:19:25.2282518Z ok (0.032s) 2022-11-23T01:19:25.2282835Z test_rng_state_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2283038Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.2283104Z ok (0.012s) 2022-11-23T01:19:25.2283492Z test_seq_append_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2283561Z ok (0.056s) 2022-11-23T01:19:25.2284241Z test_sigmoid_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:25.2284335Z torch.sigmoid(inp, out=out1) 2022-11-23T01:19:25.2285213Z /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). 2022-11-23T01:19:25.2285293Z warnings.warn(msg) 2022-11-23T01:19:25.2285856Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:25.2286004Z torch.sigmoid(inp, out=out1) 2022-11-23T01:19:25.2286114Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:25.2286307Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:19:25.2286376Z ok (0.030s) 2022-11-23T01:19:25.2286781Z test_slice_into_list_mutable_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)] 2022-11-23T01:19:25.2286848Z ok (0.062s) 2022-11-23T01:19:25.2287189Z test_slicing_dynamic_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2287355Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:19:25.2327938Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2328331Z ok (0.019s) 2022-11-23T01:19:25.2328784Z test_slicing_dynamic_shape_setitem_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:25.2328945Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:19:25.2329107Z graph_break [('Dynamic slicing not supported', 1)] 2022-11-23T01:19:25.2329307Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2329375Z ok (0.046s) 2022-11-23T01:19:25.2330050Z test_sort_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:25.2330163Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:19:25.2331032Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:25.2331128Z return node.target(*args, **kwargs) 2022-11-23T01:19:25.2331688Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:25.2331798Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:19:25.2332349Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:25.2332457Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:19:25.2332579Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:25.2332822Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:19:25.2332879Z ok (0.040s) 2022-11-23T01:19:25.2333215Z test_specialized_stride_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2333414Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2333480Z ok (0.005s) 2022-11-23T01:19:25.2333816Z test_tensor_isinstance_tuple_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2334011Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2334076Z ok (0.005s) 2022-11-23T01:19:25.2334393Z test_tokenization_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2334656Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:19:25.2334734Z unimplemented [] 2022-11-23T01:19:25.2334975Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:19:25.2335042Z ok (0.015s) 2022-11-23T01:19:25.2335429Z test_torch_ops_aten_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2335495Z ok (0.015s) 2022-11-23T01:19:25.2335886Z test_vdd_duplicate_error_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2335952Z ok (0.031s) 2022-11-23T01:19:25.2336272Z test_while_loop_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2336347Z inline_call [] 2022-11-23T01:19:25.2336623Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:19:25.2336820Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2336886Z ok (0.015s) 2022-11-23T01:19:25.2337098Z test_with_on_graph_break_inst_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... Hello world 2022-11-23T01:19:25.2337164Z Hello world 2022-11-23T01:19:25.2337285Z frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:25.2337491Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:25.2337566Z unimplemented [] 2022-11-23T01:19:25.2337824Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)] 2022-11-23T01:19:25.2338024Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)] 2022-11-23T01:19:25.2338089Z ok (0.061s) 2022-11-23T01:19:25.2338403Z test_capi_call1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2338478Z unimplemented [] 2022-11-23T01:19:25.2338756Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2338940Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2339005Z ok (0.015s) 2022-11-23T01:19:25.2339312Z test_capi_call2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2339387Z unimplemented [] 2022-11-23T01:19:25.2339663Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2339863Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2339928Z ok (0.030s) 2022-11-23T01:19:25.2340279Z test_capi_call3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2340343Z unimplemented [] 2022-11-23T01:19:25.2340615Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2340810Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2340874Z ok (0.016s) 2022-11-23T01:19:25.2341189Z test_control_flow1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2341384Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:25.2341448Z ok (0.025s) 2022-11-23T01:19:25.2341750Z test_control_flow2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2341975Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2342041Z ok (0.013s) 2022-11-23T01:19:25.2342346Z test_control_flow3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2342541Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:25.2342606Z ok (0.039s) 2022-11-23T01:19:25.2342919Z test_control_flow4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:25.2343111Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)] 2022-11-23T01:19:25.2343175Z ok (0.024s) 2022-11-23T01:19:25.2343470Z test_control_flow5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:25.2343673Z stats [('calls_captured', 13), ('fusions_possible', 7), ('unique_graphs', 6)] 2022-11-23T01:19:25.2343741Z ok (0.064s) 2022-11-23T01:19:25.2344061Z test_dynamic_kwarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2344253Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2344317Z ok (0.009s) 2022-11-23T01:19:25.2344641Z test_dynamic_shapes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:19:25.2344838Z stats [('calls_captured', 22), ('fusions_possible', 11), ('unique_graphs', 11)] 2022-11-23T01:19:25.2344891Z ok (0.048s) 2022-11-23T01:19:25.2345234Z test_enumerate_not_break_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2345430Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:25.2345512Z expected failure (0.017s) 2022-11-23T01:19:25.2345830Z test_extended_args_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2346035Z stats [('calls_captured', 1026), ('fusions_possible', 1023), ('unique_graphs', 3)] 2022-11-23T01:19:25.2346100Z ok (3.000s) 2022-11-23T01:19:25.2346427Z test_graph_break_on_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2346490Z unimplemented [] 2022-11-23T01:19:25.2346614Z graph_break [('Tensor.item', 1)] 2022-11-23T01:19:25.2346808Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:19:25.2346873Z ok (0.030s) 2022-11-23T01:19:25.2347201Z test_indirect_unsupported1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2347510Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2347587Z unimplemented [] 2022-11-23T01:19:25.2347863Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2348042Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2348107Z ok (0.029s) 2022-11-23T01:19:25.2348439Z test_indirect_unsupported2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2348710Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2348785Z unimplemented [] 2022-11-23T01:19:25.2349058Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2349284Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)] 2022-11-23T01:19:25.2349349Z ok (0.042s) 2022-11-23T01:19:25.2349668Z test_indirect_unsupported3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2349937Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2350012Z unimplemented [] 2022-11-23T01:19:25.2350283Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2350480Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:25.2350545Z ok (0.029s) 2022-11-23T01:19:25.2350859Z test_multigraph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2351054Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:19:25.2351109Z ok (0.023s) 2022-11-23T01:19:25.2351434Z test_no_graph_break_on_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2351625Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:25.2351689Z ok (0.021s) 2022-11-23T01:19:25.2352008Z test_pop_after_resume_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2352082Z unimplemented [] 2022-11-23T01:19:25.2352354Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2352546Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2352601Z ok (0.033s) 2022-11-23T01:19:25.2352918Z test_restore_range_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2352996Z unimplemented [] 2022-11-23T01:19:25.2353268Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2353462Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2353527Z ok (0.025s) 2022-11-23T01:19:25.2353850Z test_restore_range_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2353925Z unimplemented [] 2022-11-23T01:19:25.2354184Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2354376Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:25.2354446Z ok (0.020s) 2022-11-23T01:19:25.2354793Z test_restore_state_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:25.2354869Z unimplemented [] 2022-11-23T01:19:25.2355147Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2355340Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2355422Z expected failure (0.026s) 2022-11-23T01:19:25.2355716Z test_resume1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2355791Z unimplemented [] 2022-11-23T01:19:25.2356071Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2356264Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2356359Z ok (0.029s) 2022-11-23T01:19:25.2356667Z test_resume2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2356940Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2357015Z unimplemented [] 2022-11-23T01:19:25.2357275Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2357471Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:25.2357537Z ok (0.044s) 2022-11-23T01:19:25.2357843Z test_resume3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2358116Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2358193Z unimplemented [] 2022-11-23T01:19:25.2358466Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2358666Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:25.2358719Z ok (0.042s) 2022-11-23T01:19:25.2359023Z test_resume4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2359294Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2359370Z unimplemented [] 2022-11-23T01:19:25.2359641Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2359834Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:25.2359901Z ok (0.043s) 2022-11-23T01:19:25.2360119Z test_resume5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:19:25.2360177Z 1.5000]) 2022-11-23T01:19:25.2360281Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:19:25.2360355Z 1.5000]) 2022-11-23T01:19:25.2360462Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:19:25.2360525Z 1.5000]) 2022-11-23T01:19:25.2360706Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:19:25.2360770Z 1.5000]) 2022-11-23T01:19:25.2360877Z frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2360953Z unimplemented [] 2022-11-23T01:19:25.2361161Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2361354Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2361423Z ok (0.031s) 2022-11-23T01:19:25.2361745Z test_resume_freevars_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2361860Z unimplemented [] 2022-11-23T01:19:25.2362138Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2362318Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:19:25.2362384Z ok (0.037s) 2022-11-23T01:19:25.2362709Z test_resume_paths_join_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:25.2362906Z stats [('calls_captured', 10), ('unique_graphs', 7), ('fusions_possible', 3)] 2022-11-23T01:19:25.2362971Z ok (0.070s) 2022-11-23T01:19:25.2363299Z test_resume_tuple_iterator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2363402Z unimplemented [] 2022-11-23T01:19:25.2363679Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2363863Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:25.2363929Z ok (0.039s) 2022-11-23T01:19:25.2364257Z test_resume_with_no_grad1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2364332Z unimplemented [] 2022-11-23T01:19:25.2364459Z graph_break [('Tensor.tolist', 2)] 2022-11-23T01:19:25.2364655Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)] 2022-11-23T01:19:25.2364723Z ok (0.054s) 2022-11-23T01:19:25.2365153Z test_resume_with_no_grad2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2365231Z unimplemented [] 2022-11-23T01:19:25.2365360Z graph_break [('Tensor.tolist', 2)] 2022-11-23T01:19:25.2365560Z stats [('calls_captured', 13), ('fusions_possible', 10), ('unique_graphs', 3)] 2022-11-23T01:19:25.2365628Z ok (0.040s) 2022-11-23T01:19:25.2365952Z test_resume_with_no_grad3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2366027Z unimplemented [] 2022-11-23T01:19:25.2366153Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:25.2366336Z stats [('calls_captured', 19), ('fusions_possible', 17), ('unique_graphs', 2)] 2022-11-23T01:19:25.2366401Z ok (0.031s) 2022-11-23T01:19:25.2366716Z test_stack_state1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2366791Z unimplemented [] 2022-11-23T01:19:25.2367069Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2367268Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:25.2367333Z ok (0.056s) 2022-11-23T01:19:25.2367646Z test_stack_state2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2367909Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2367984Z unimplemented [] 2022-11-23T01:19:25.2368255Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2368447Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:19:25.2368513Z ok (0.067s) 2022-11-23T01:19:25.2368726Z test_start1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) 2022-11-23T01:19:25.2368889Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.]) 2022-11-23T01:19:25.2368978Z tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) 2022-11-23T01:19:25.2369167Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.]) 2022-11-23T01:19:25.2369289Z frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2369365Z unimplemented [] 2022-11-23T01:19:25.2369575Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2369771Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2369836Z ok (0.025s) 2022-11-23T01:19:25.2370141Z test_start2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2370407Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2370486Z unimplemented [] 2022-11-23T01:19:25.2370760Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2370997Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:25.2371067Z ok (0.034s) 2022-11-23T01:19:25.2371375Z test_start3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:25.2371453Z unimplemented [] 2022-11-23T01:19:25.2371725Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:25.2371907Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2371972Z ok (0.020s) 2022-11-23T01:19:25.2372273Z test_start4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2372470Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:25.2372538Z ok (0.034s) 2022-11-23T01:19:25.2372766Z test_tuple_iterator_mutate_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: not working yet (0.001s) 2022-11-23T01:19:25.2373099Z test_tuple_iterator_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2373178Z unimplemented [] 2022-11-23T01:19:25.2373456Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:25.2373637Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:25.2373702Z ok (0.041s) 2022-11-23T01:19:25.2373927Z test_builtin_functions_on_cuda_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:25.2374236Z test_builtin_getitem_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:19:25.2374322Z expected failure (0.013s) 2022-11-23T01:19:25.2374637Z test_builtin_max_min_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2374829Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:25.2374895Z ok (0.020s) 2022-11-23T01:19:25.2375228Z test_feed_random_values_into_graph_only_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2375419Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:25.2375484Z ok (0.010s) 2022-11-23T01:19:25.2375857Z test_multiple_consecutive_random_calls_before_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2376047Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2376112Z ok (0.009s) 2022-11-23T01:19:25.2376469Z test_no_recompilations_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2376661Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:25.2376714Z ok (0.015s) 2022-11-23T01:19:25.2377033Z test_numpy_correctness_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:25.2377218Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)] 2022-11-23T01:19:25.2377367Z graph_break [('Tensor.numpy', 2), ('numpy', 2)] 2022-11-23T01:19:25.2377560Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2377624Z ok (0.073s) 2022-11-23T01:19:25.2377962Z test_random_call_with_while_loop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:25.2378192Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:25.2378259Z ok (0.013s) 2022-11-23T01:19:25.2378597Z test_random_values_with_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:25.2378674Z unimplemented [] 2022-11-23T01:19:25.2378796Z graph_break [('Tensor.item', 2)] 2022-11-23T01:19:25.2379006Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:25.2379070Z ok (0.044s) 2022-11-23T01:19:25.2379374Z test_unspec_float_precision_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:19:25.2379455Z expected failure (0.046s) 2022-11-23T01:19:25.2379464Z 2022-11-23T01:19:25.2379662Z ---------------------------------------------------------------------- 2022-11-23T01:19:25.2379744Z Ran 475 tests in 21.902s 2022-11-23T01:19:25.2379749Z 2022-11-23T01:19:25.2379846Z OK (skipped=18, expected failures=15) 2022-11-23T01:19:25.2379854Z 2022-11-23T01:19:25.2379939Z Generating XML reports... 2022-11-23T01:19:25.2380334Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesExportTests-20221123011902.xml 2022-11-23T01:19:25.2380725Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesFunctionTests-20221123011902.xml 2022-11-23T01:19:25.2381103Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesMiscTests-20221123011902.xml 2022-11-23T01:19:25.2381488Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesNNModuleTests-20221123011902.xml 2022-11-23T01:19:25.2381850Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesReproTests-20221123011902.xml 2022-11-23T01:19:25.2382235Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesSubGraphTests-20221123011902.xml 2022-11-23T01:19:25.2382612Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesUnspecTests-20221123011902.xml 2022-11-23T01:19:25.2382618Z 2022-11-23T01:19:25.2382991Z ##[endgroup] 2022-11-23T01:19:25.2383314Z FINISHED PRINTING LOG FILE of dynamo/test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_dynamic_shapes_n494nm1k) 2022-11-23T01:19:25.2383319Z 2022-11-23T01:19:26.6924091Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:26.7523733Z Ignoring disabled issues: [] 2022-11-23T01:19:26.7666604Z Running dynamo/test_minifier ... [2022-11-23 01:19:26.766374] 2022-11-23T01:19:26.7668788Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:26.766629] 2022-11-23T01:19:27.1555597Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:27.2165932Z Ignoring disabled issues: [] 2022-11-23T01:19:27.2309242Z Running dynamo/test_misc ... [2022-11-23 01:19:27.230615] 2022-11-23T01:19:27.2312064Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_misc.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:27.230875] 2022-11-23T01:19:32.1174704Z 2022-11-23T01:19:32.1175278Z Expand the folded group to see the log file of dynamo/test_misc 2022-11-23T01:19:32.1176207Z ##[group]PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_npvoakxh) 2022-11-23T01:19:32.1176541Z 2022-11-23T01:19:32.1177763Z Running tests... 2022-11-23T01:19:32.1178535Z ---------------------------------------------------------------------- 2022-11-23T01:19:32.1179514Z Test results will be stored in test-reports/python-unittest/dynamo.test_misc 2022-11-23T01:19:32.1180143Z test_allow_in_graph (__main__.MiscTests) ... ok (0.299s) 2022-11-23T01:19:32.1180921Z test_autocast (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1181494Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:32.1181870Z skip: requires cuda (0.001s) 2022-11-23T01:19:32.1182438Z test_autocast_cpu (__main__.MiscTests) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:32.1182957Z ok (0.014s) 2022-11-23T01:19:32.1183300Z test_autocast_device (__main__.MiscTests) ... skip: requires cuda (0.001s) 2022-11-23T01:19:32.1183758Z test_autocast_float64 (__main__.MiscTests) ... skip: requires cuda (0.001s) 2022-11-23T01:19:32.1184260Z test_autograd_function_equivalence (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1184811Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1185115Z ok (0.101s) 2022-11-23T01:19:32.1185555Z test_autograd_profiler (__main__.MiscTests) ... STAGE:2022-11-23 01:19:29 1765:1765 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:32.1186041Z STAGE:2022-11-23 01:19:29 1765:1765 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:32.1186480Z STAGE:2022-11-23 01:19:29 1765:1765 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:32.1186900Z [2022-11-23 01:19:29,232] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:32.1187193Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1187383Z unimplemented [] 2022-11-23T01:19:32.1187606Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:32.1187930Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1188157Z ok (0.019s) 2022-11-23T01:19:32.1188578Z test_autograd_profiler_enabled (__main__.MiscTests) ... STAGE:2022-11-23 01:19:29 1765:1765 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:32.1189069Z STAGE:2022-11-23 01:19:29 1765:1765 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:32.1189518Z STAGE:2022-11-23 01:19:29 1765:1765 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:32.1189818Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:32.1190006Z unimplemented [] 2022-11-23T01:19:32.1190317Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)] 2022-11-23T01:19:32.1190685Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1190896Z ok (0.013s) 2022-11-23T01:19:32.1191262Z test_boolarg (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:32.1191525Z ok (0.012s) 2022-11-23T01:19:32.1191730Z test_build_tuple_unpack (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1192084Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1192310Z ok (0.014s) 2022-11-23T01:19:32.1192816Z test_builtin_isinstance (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1193092Z ok (0.008s) 2022-11-23T01:19:32.1193340Z test_builtin_subclasses_as_method_on_class_type (__main__.MiscTests) ... ok (0.003s) 2022-11-23T01:19:32.1193650Z test_builtin_subclasses_as_method_on_var (__main__.MiscTests) ... ok (0.004s) 2022-11-23T01:19:32.1194068Z test_callpacked (__main__.MiscTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1194338Z ok (0.012s) 2022-11-23T01:19:32.1194626Z test_cell_output1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1194963Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1195235Z ok (0.006s) 2022-11-23T01:19:32.1195524Z test_cell_output2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1195743Z unimplemented [] 2022-11-23T01:19:32.1196135Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:32.1196551Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1196778Z ok (0.010s) 2022-11-23T01:19:32.1197132Z test_change_backends (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:32.1197453Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1197633Z ok (0.022s) 2022-11-23T01:19:32.1197894Z test_cond (__main__.MiscTests) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:32.1198117Z unimplemented [] 2022-11-23T01:19:32.1198409Z graph_break [('Fake tensor mode not yet supported for cond', 2)] 2022-11-23T01:19:32.1198745Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1198974Z ok (0.017s) 2022-11-23T01:19:32.1199343Z test_cond_export (__main__.MiscTests) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:32.1199592Z ok (0.024s) 2022-11-23T01:19:32.1199985Z test_cond_export_single_arg (__main__.MiscTests) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)] 2022-11-23T01:19:32.1200261Z ok (0.013s) 2022-11-23T01:19:32.1200632Z test_cond_nested (__main__.MiscTests) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:19:32.1200859Z unimplemented [] 2022-11-23T01:19:32.1201156Z graph_break [('Fake tensor mode not yet supported for cond', 6)] 2022-11-23T01:19:32.1201510Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:19:32.1201721Z ok (0.036s) 2022-11-23T01:19:32.1202038Z test_cond_nested_fake_tensor_off (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1202406Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:32.1202617Z ok (0.024s) 2022-11-23T01:19:32.1202927Z test_config_getattr_default (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:32.1203296Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)] 2022-11-23T01:19:32.1203522Z ok (0.037s) 2022-11-23T01:19:32.1203803Z test_config_log_level (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1204162Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1204386Z ok (0.006s) 2022-11-23T01:19:32.1204659Z test_config_obj (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:32.1205244Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:19:32.1205471Z ok (0.023s) 2022-11-23T01:19:32.1205690Z test_const_dict_variable_python_type (__main__.MiscTests) ... ok (0.001s) 2022-11-23T01:19:32.1206395Z test_cross_entropy_loss_fancy_ctor (__main__.MiscTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:19:32.1206830Z warnings.warn(warning.format(ret)) 2022-11-23T01:19:32.1207026Z ok (0.002s) 2022-11-23T01:19:32.1207245Z test_cross_entropy_loss_simple_ctor (__main__.MiscTests) ... ok (0.002s) 2022-11-23T01:19:32.1207618Z test_dataclass_fields (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1207853Z inline_call [] 2022-11-23T01:19:32.1208148Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:32.1208378Z ok (0.038s) 2022-11-23T01:19:32.1208693Z test_dict_mutation_side_effect (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1209048Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1209272Z ok (0.006s) 2022-11-23T01:19:32.1209659Z test_dict_reconstruct_keeps_original_order (__main__.MiscTests) ... frames [('total', 13), ('ok', 12)] 2022-11-23T01:19:32.1210135Z unimplemented [("Guard setup for uninitialized class ", 1)] 2022-11-23T01:19:32.1211078Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)] 2022-11-23T01:19:32.1211743Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:32.1211975Z ok (0.039s) 2022-11-23T01:19:32.1212264Z test_dictcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1212475Z inline_call [] 2022-11-23T01:19:32.1212775Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1213004Z ok (0.008s) 2022-11-23T01:19:32.1213205Z test_disable_optimize (__main__.MiscTests) ... ok (0.002s) 2022-11-23T01:19:32.1213555Z test_disallow_in_graph (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1213791Z unimplemented [] 2022-11-23T01:19:32.1214155Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)] 2022-11-23T01:19:32.1214568Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1214796Z ok (0.012s) 2022-11-23T01:19:32.1215013Z test_dunder_methods (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1215341Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:32.1215569Z ok (0.022s) 2022-11-23T01:19:32.1215797Z test_duplicate_graph_break_warning (__main__.MiscTests) ... break 2022-11-23T01:19:32.1216000Z break 2022-11-23T01:19:32.1216213Z frames [('total', 9), ('ok', 9)] 2022-11-23T01:19:32.1216549Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)] 2022-11-23T01:19:32.1216796Z unimplemented [] 2022-11-23T01:19:32.1217125Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)] 2022-11-23T01:19:32.1217505Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)] 2022-11-23T01:19:32.1217718Z ok (0.030s) 2022-11-23T01:19:32.1217949Z test_dynamo_min_operator_with_shape (__main__.MiscTests) ... ok (0.003s) 2022-11-23T01:19:32.1218298Z test_empty_list (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1218647Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1218859Z ok (0.009s) 2022-11-23T01:19:32.1219235Z test_enum_no_graphbreaks (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:32.1219502Z ok (0.011s) 2022-11-23T01:19:32.1219806Z test_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1220205Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1220435Z ok (0.005s) 2022-11-23T01:19:32.1220768Z test_fold (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1221021Z ok (0.005s) 2022-11-23T01:19:32.1221412Z test_frozenset_torch_func_contains (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:32.1221692Z ok (0.010s) 2022-11-23T01:19:32.1222054Z test_function_annotation (__main__.MiscTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1222320Z ok (0.009s) 2022-11-23T01:19:32.1222671Z test_generate_tensor_from_list_of_numpy_primitive_type (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1222955Z unimplemented [] 2022-11-23T01:19:32.1223181Z graph_break [('numpy', 1)] 2022-11-23T01:19:32.1223491Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1223704Z ok (0.008s) 2022-11-23T01:19:32.1223983Z test_grad (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1224206Z unimplemented [] 2022-11-23T01:19:32.1224445Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:19:32.1224752Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1224979Z ok (0.013s) 2022-11-23T01:19:32.1225273Z test_grad_mode_guard (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1225496Z unimplemented [] 2022-11-23T01:19:32.1225733Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:32.1226051Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1226266Z ok (0.012s) 2022-11-23T01:19:32.1226549Z test_graph_break (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:32.1226781Z unimplemented [] 2022-11-23T01:19:32.1227141Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)] 2022-11-23T01:19:32.1227541Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:32.1227765Z ok (0.017s) 2022-11-23T01:19:32.1228114Z test_id_of_nn_module (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:32.1228374Z ok (0.011s) 2022-11-23T01:19:32.1228735Z test_if_cond_nn_mod (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:32.1228996Z ok (0.011s) 2022-11-23T01:19:32.1229274Z test_inference_mode (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1229628Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1229852Z ok (0.006s) 2022-11-23T01:19:32.1230140Z test_inline_dict_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1230370Z inline_call [] 2022-11-23T01:19:32.1230666Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1230872Z ok (0.008s) 2022-11-23T01:19:32.1231202Z test_inline_func_jump_on_tensor_condition (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:32.1231537Z inline_call [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:32.1231757Z unimplemented [] 2022-11-23T01:19:32.1232010Z graph_break [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:32.1232347Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:32.1232574Z ok (0.013s) 2022-11-23T01:19:32.1232865Z test_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1233099Z inline_call [] 2022-11-23T01:19:32.1233395Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1233610Z ok (0.006s) 2022-11-23T01:19:32.1234032Z test_inplace (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1234293Z ok (0.007s) 2022-11-23T01:19:32.1234652Z test_inplace_param_update (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:32.1234918Z ok (0.007s) 2022-11-23T01:19:32.1235287Z test_is_floating_point (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1235549Z ok (0.007s) 2022-11-23T01:19:32.1235905Z test_is_floating_point2 (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1236168Z ok (0.007s) 2022-11-23T01:19:32.1236527Z test_is_tensor (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1236810Z ok (0.007s) 2022-11-23T01:19:32.1237101Z test_is_tensor2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1237618Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1237887Z ok (0.009s) 2022-11-23T01:19:32.1238237Z test_is_tensor_like (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:32.1238497Z ok (0.009s) 2022-11-23T01:19:32.1238789Z test_is_tensor_like2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:32.1239006Z unimplemented [] 2022-11-23T01:19:32.1239338Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)] 2022-11-23T01:19:32.1239715Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1239925Z ok (0.012s) 2022-11-23T01:19:32.1240271Z test_item (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1240615Z ok (0.007s) 2022-11-23T01:19:32.1240987Z test_item_changes (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:32.1241238Z ok (0.012s) 2022-11-23T01:19:32.1241616Z test_item_changes_new_shape (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:32.1241885Z ok (0.012s) 2022-11-23T01:19:32.1242091Z test_large_reduction_list (__main__.MiscTests) ... ok (0.011s) 2022-11-23T01:19:32.1242355Z test_linetable_writer (__main__.MiscTests) ... ok (0.001s) 2022-11-23T01:19:32.1242705Z test_list_append_return_none (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1243052Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1243276Z ok (0.006s) 2022-11-23T01:19:32.1243555Z test_list_mul (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1243769Z ok (0.002s) 2022-11-23T01:19:32.1244039Z test_listcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1244256Z inline_call [] 2022-11-23T01:19:32.1244557Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:32.1244901Z ok (0.010s) 2022-11-23T01:19:32.1245198Z test_lnotab_writer (__main__.MiscTests) ... skip: use lnotab when python < 3.10 (0.000s) 2022-11-23T01:19:32.1245655Z test_manual_seed (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1245912Z ok (0.008s) 2022-11-23T01:19:32.1246262Z test_matmul1 (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1246518Z ok (0.006s) 2022-11-23T01:19:32.1246764Z test_module_complex_iter (__main__.MiscTests) ... ok (0.009s) 2022-11-23T01:19:32.1247113Z test_module_deepcopy (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:32.1247351Z unimplemented [] 2022-11-23T01:19:32.1247672Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)] 2022-11-23T01:19:32.1247902Z inline_call [] 2022-11-23T01:19:32.1248283Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:32.1248514Z ok (0.048s) 2022-11-23T01:19:32.1248715Z test_named_parameters (__main__.MiscTests) ... ok (0.021s) 2022-11-23T01:19:32.1249060Z test_namedtuple1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1249411Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1249624Z ok (0.007s) 2022-11-23T01:19:32.1249919Z test_namedtuple2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1250270Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1250479Z ok (0.008s) 2022-11-23T01:19:32.1250766Z test_namedtuple3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1251161Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1251387Z ok (0.005s) 2022-11-23T01:19:32.1251650Z test_nan (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1251990Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1252213Z ok (0.005s) 2022-11-23T01:19:32.1252419Z test_nested_closure (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1252760Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)] 2022-11-23T01:19:32.1252991Z ok (0.020s) 2022-11-23T01:19:32.1253201Z test_nested_closure_mutation (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1253553Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)] 2022-11-23T01:19:32.1253779Z ok (0.017s) 2022-11-23T01:19:32.1254274Z test_nested_disable_decorator (__main__.MiscTests) ... [2022-11-23 01:19:30,140] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 2022-11-23T01:19:32.1254596Z due to: 2022-11-23T01:19:32.1254783Z Traceback (most recent call last): 2022-11-23T01:19:32.1255159Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented 2022-11-23T01:19:32.1255433Z raise Unsupported(msg) 2022-11-23T01:19:32.1255798Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function .fn1 at 0x7efdc60e7a30> 2022-11-23T01:19:32.1256059Z 2022-11-23T01:19:32.1256131Z from user code: 2022-11-23T01:19:32.1256373Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3 2022-11-23T01:19:32.1256593Z return fn2(x) 2022-11-23T01:19:32.1256835Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2 2022-11-23T01:19:32.1257076Z x = fn1(x) # graph break 2022-11-23T01:19:32.1257180Z 2022-11-23T01:19:32.1257309Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:32.1257471Z 2022-11-23T01:19:32.1257476Z 2022-11-23T01:19:32.1257601Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1257793Z unimplemented [] 2022-11-23T01:19:32.1258213Z graph_break [('call torch._dynamo.disable() wrapped function .fn1 at 0x7efdc60e7a30>', 1)] 2022-11-23T01:19:32.1258648Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1259130Z inline_call [('call torch._dynamo.disable() wrapped function .fn1 at 0x7efdc60e7a30>', 1)] 2022-11-23T01:19:32.1259428Z ok (0.014s) 2022-11-23T01:19:32.1259781Z test_nested_optimize (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:32.1260047Z ok (0.016s) 2022-11-23T01:19:32.1260276Z test_nested_optimize_decorator (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1260620Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:32.1260846Z ok (0.009s) 2022-11-23T01:19:32.1261255Z test_nested_optimize_run (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:32.1261529Z ok (0.013s) 2022-11-23T01:19:32.1261744Z test_nn_sequential_invocation (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1262104Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1262329Z ok (0.022s) 2022-11-23T01:19:32.1262566Z test_nn_sequential_invocation_reposition_indices (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1262935Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1263159Z ok (0.017s) 2022-11-23T01:19:32.1263454Z test_no_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1263817Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1264080Z ok (0.006s) 2022-11-23T01:19:32.1264440Z test_no_grad (__main__.MiscTests) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)] 2022-11-23T01:19:32.1264687Z ok (0.055s) 2022-11-23T01:19:32.1265038Z test_numel (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1265288Z ok (0.007s) 2022-11-23T01:19:32.1265572Z test_numpy_int_constant (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1265935Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1266161Z ok (0.007s) 2022-11-23T01:19:32.1266456Z test_numpy_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1266819Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1267042Z ok (0.005s) 2022-11-23T01:19:32.1267267Z test_object_classmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1267602Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1267826Z ok (0.006s) 2022-11-23T01:19:32.1268048Z test_object_staticmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1268384Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1268608Z ok (0.006s) 2022-11-23T01:19:32.1268982Z test_onnx_shape_as_tensor (__main__.MiscTests) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)] 2022-11-23T01:19:32.1269237Z ok (0.063s) 2022-11-23T01:19:32.1269607Z test_optimize_on_module (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1269875Z ok (0.005s) 2022-11-23T01:19:32.1270222Z test_pair (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:32.1270462Z ok (0.011s) 2022-11-23T01:19:32.1270750Z test_python_slice (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1270973Z ok (0.006s) 2022-11-23T01:19:32.1271251Z test_raise_on_backend_error (__main__.MiscTests) ... frames [('total', 1)] 2022-11-23T01:19:32.1271569Z stats [('calls_captured', 3), ('fusions_possible', 2)] 2022-11-23T01:19:32.1271774Z ok (0.006s) 2022-11-23T01:19:32.1272036Z test_raises (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:32.1272265Z unimplemented [] 2022-11-23T01:19:32.1272581Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)] 2022-11-23T01:19:32.1272933Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1273160Z ok (0.009s) 2022-11-23T01:19:32.1273378Z test_rand (__main__.MiscTests) ... skip: requires cuda (0.001s) 2022-11-23T01:19:32.1273630Z test_range_input (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1273966Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1274195Z ok (0.007s) 2022-11-23T01:19:32.1274553Z test_recursive_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1274783Z inline_call [] 2022-11-23T01:19:32.1275081Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:32.1275300Z ok (0.017s) 2022-11-23T01:19:32.1275593Z test_release_input_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1275948Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1276172Z ok (0.004s) 2022-11-23T01:19:32.1276460Z test_release_module_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1276815Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1277039Z ok (0.008s) 2022-11-23T01:19:32.1277439Z test_repro_graph_breaks_in__get_item_by_idx (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1277763Z ok (0.009s) 2022-11-23T01:19:32.1278071Z test_return_nested_function (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1278429Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:19:32.1278637Z ok (0.015s) 2022-11-23T01:19:32.1278847Z test_sample_input (__main__.MiscTests) ... ok (0.611s) 2022-11-23T01:19:32.1279187Z test_setattr_mutation1 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1279616Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)] 2022-11-23T01:19:32.1280143Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) ", 1)] 2022-11-23T01:19:32.1280498Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1280905Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:19:32.1281124Z ok (0.020s) 2022-11-23T01:19:32.1281422Z test_setattr_mutation2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1281654Z inline_call [] 2022-11-23T01:19:32.1281940Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:32.1282165Z ok (0.014s) 2022-11-23T01:19:32.1282460Z test_setattr_mutation3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1282672Z inline_call [] 2022-11-23T01:19:32.1282965Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:32.1283188Z ok (0.015s) 2022-11-23T01:19:32.1283464Z test_shape_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1283813Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1284037Z ok (0.005s) 2022-11-23T01:19:32.1284366Z test_side_effects_codegen_update_mutated (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:32.1284612Z unimplemented [] 2022-11-23T01:19:32.1285029Z graph_break [('Tensor.item', 4)] 2022-11-23T01:19:32.1285370Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:19:32.1285581Z ok (0.029s) 2022-11-23T01:19:32.1285864Z test_size_input (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1286210Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:32.1286422Z ok (0.008s) 2022-11-23T01:19:32.1286780Z test_slice_input (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:32.1287042Z ok (0.019s) 2022-11-23T01:19:32.1287349Z test_tensor_build_list_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1287696Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1287922Z ok (0.014s) 2022-11-23T01:19:32.1288282Z test_tensor_data (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1288525Z ok (0.007s) 2022-11-23T01:19:32.1288891Z test_tensor_dict1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1289245Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1289453Z ok (0.007s) 2022-11-23T01:19:32.1289738Z test_tensor_dict2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:32.1290084Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:32.1290309Z ok (0.021s) 2022-11-23T01:19:32.1290613Z test_tensor_dot_grad_no_graph_break (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1290861Z unimplemented [] 2022-11-23T01:19:32.1291099Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:19:32.1291409Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:32.1291671Z ok (0.016s) 2022-11-23T01:19:32.1291972Z test_tensor_is_contiguous (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1292317Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:32.1292540Z ok (0.019s) 2022-11-23T01:19:32.1292838Z test_tensor_item_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1293177Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1293400Z ok (0.007s) 2022-11-23T01:19:32.1293701Z test_tensor_item_no_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1293941Z unimplemented [] 2022-11-23T01:19:32.1294160Z graph_break [('Tensor.item', 1)] 2022-11-23T01:19:32.1294469Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1294695Z ok (0.006s) 2022-11-23T01:19:32.1295042Z test_tensor_layout (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1295308Z ok (0.007s) 2022-11-23T01:19:32.1295597Z test_tensor_types (__main__.MiscTests) ... frames [('total', 10), ('ok', 10)] 2022-11-23T01:19:32.1295936Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)] 2022-11-23T01:19:32.1296161Z ok (0.033s) 2022-11-23T01:19:32.1296531Z test_top_package_import (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1296784Z ok (0.005s) 2022-11-23T01:19:32.1297164Z test_torch_cuda_is_available (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1297435Z ok (0.005s) 2022-11-23T01:19:32.1297749Z test_torch_nn_parameter_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1298104Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1298328Z ok (0.007s) 2022-11-23T01:19:32.1298748Z test_torch_profiler (__main__.MiscTests) ... STAGE:2022-11-23 01:19:31 1765:1765 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:32.1299213Z STAGE:2022-11-23 01:19:31 1765:1765 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:32.1299665Z STAGE:2022-11-23 01:19:31 1765:1765 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:32.1300085Z [2022-11-23 01:19:31,353] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:32.1300480Z [2022-11-23 01:19:31,355] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:32.1300752Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1300947Z unimplemented [] 2022-11-23T01:19:32.1301183Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:32.1301487Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:32.1301711Z ok (0.017s) 2022-11-23T01:19:32.1302071Z test_torch_seed (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1302318Z ok (0.006s) 2022-11-23T01:19:32.1302705Z test_torch_size (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1302963Z ok (0.006s) 2022-11-23T01:19:32.1303246Z test_type_copy (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1303579Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:32.1303805Z ok (0.013s) 2022-11-23T01:19:32.1304117Z test_typing_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1304467Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1304691Z ok (0.005s) 2022-11-23T01:19:32.1305040Z test_unpack4 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:32.1305319Z ok (0.010s) 2022-11-23T01:19:32.1305669Z test_unpack5 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:32.1305928Z ok (0.010s) 2022-11-23T01:19:32.1306405Z test_unsupported_fake_tensor (__main__.MiscTests) ... [2022-11-23 01:19:31,422] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 2022-11-23T01:19:32.1306715Z due to: 2022-11-23T01:19:32.1306901Z Traceback (most recent call last): 2022-11-23T01:19:32.1307254Z File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key 2022-11-23T01:19:32.1307575Z raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") 2022-11-23T01:19:32.1307954Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta 2022-11-23T01:19:32.1308176Z 2022-11-23T01:19:32.1308315Z During handling of the above exception, another exception occurred: 2022-11-23T01:19:32.1308483Z 2022-11-23T01:19:32.1308576Z Traceback (most recent call last): 2022-11-23T01:19:32.1308957Z File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor 2022-11-23T01:19:32.1309322Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-11-23T01:19:32.1309691Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-11-23T01:19:32.1309906Z 2022-11-23T01:19:32.1310043Z The above exception was the direct cause of the following exception: 2022-11-23T01:19:32.1310192Z 2022-11-23T01:19:32.1310285Z Traceback (most recent call last): 2022-11-23T01:19:32.1310641Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node 2022-11-23T01:19:32.1310906Z raise RuntimeError( 2022-11-23T01:19:32.1311414Z RuntimeError: Failed running call_function (*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}): 2022-11-23T01:19:32.1311781Z quantized nyi in meta tensors 2022-11-23T01:19:32.1311985Z (scroll up for backtrace) 2022-11-23T01:19:32.1312101Z 2022-11-23T01:19:32.1312238Z The above exception was the direct cause of the following exception: 2022-11-23T01:19:32.1312390Z 2022-11-23T01:19:32.1312483Z Traceback (most recent call last): 2022-11-23T01:19:32.1312849Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value 2022-11-23T01:19:32.1313133Z raise TorchRuntimeError() from e 2022-11-23T01:19:32.1313358Z torch._dynamo.exc.TorchRuntimeError: 2022-11-23T01:19:32.1313504Z 2022-11-23T01:19:32.1313573Z from user code: 2022-11-23T01:19:32.1313815Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f 2022-11-23T01:19:32.1314089Z return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8) 2022-11-23T01:19:32.1314246Z 2022-11-23T01:19:32.1314376Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:32.1314534Z 2022-11-23T01:19:32.1314539Z 2022-11-23T01:19:32.1314643Z frames [('total', 1)] 2022-11-23T01:19:32.1314984Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1315200Z ok (0.008s) 2022-11-23T01:19:32.1315546Z test_update_locals_and_stack_uses_shared_cache (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:32.1315801Z inline_call [] 2022-11-23T01:19:32.1315964Z unimplemented [] 2022-11-23T01:19:32.1316287Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)] 2022-11-23T01:19:32.1316531Z ok (0.008s) 2022-11-23T01:19:32.1316912Z test_user_defined_class_name (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1317172Z ok (0.008s) 2022-11-23T01:19:32.1317425Z test_user_function_variable_supports_enum_argument (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1317702Z ok (0.005s) 2022-11-23T01:19:32.1317944Z test_user_function_variable_supports_function_argument (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1318324Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1318549Z ok (0.006s) 2022-11-23T01:19:32.1318795Z test_user_function_variable_supports_type_abcmeta_argument (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1319177Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:32.1319402Z ok (0.006s) 2022-11-23T01:19:32.1319677Z test_user_getattr1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1319903Z inline_call [] 2022-11-23T01:19:32.1320201Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1320422Z ok (0.006s) 2022-11-23T01:19:32.1320787Z test_user_getattr2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1321013Z inline_call [] 2022-11-23T01:19:32.1321311Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1321522Z ok (0.007s) 2022-11-23T01:19:32.1321818Z test_user_property (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:32.1322041Z inline_call [] 2022-11-23T01:19:32.1322322Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1322544Z ok (0.006s) 2022-11-23T01:19:32.1322764Z test_usr_cls_classmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1323096Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1323325Z ok (0.008s) 2022-11-23T01:19:32.1323552Z test_usr_cls_staticmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1323900Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:32.1324107Z ok (0.007s) 2022-11-23T01:19:32.1324312Z test_version_ci (__main__.MiscTests) ... ok (0.001s) 2022-11-23T01:19:32.1324585Z test_write_to_closures_in_inlining (__main__.MiscTests) ... inline_call [] 2022-11-23T01:19:32.1325111Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:32.1325335Z ok (0.007s) 2022-11-23T01:19:32.1325538Z test_jit_save (__main__.TestTracer) ... ok (0.041s) 2022-11-23T01:19:32.1325679Z 2022-11-23T01:19:32.1325864Z ---------------------------------------------------------------------- 2022-11-23T01:19:32.1326111Z Ran 149 tests in 2.735s 2022-11-23T01:19:32.1326225Z 2022-11-23T01:19:32.1326296Z OK (skipped=5) 2022-11-23T01:19:32.1326404Z 2022-11-23T01:19:32.1326489Z Generating XML reports... 2022-11-23T01:19:32.1326874Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-MiscTests-20221123011928.xml 2022-11-23T01:19:32.1327370Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-TestTracer-20221123011928.xml 2022-11-23T01:19:32.1327587Z 2022-11-23T01:19:32.1327946Z ##[endgroup] 2022-11-23T01:19:32.1328323Z FINISHED PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_npvoakxh) 2022-11-23T01:19:32.1328620Z 2022-11-23T01:19:34.1165045Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:34.1770036Z Ignoring disabled issues: [] 2022-11-23T01:19:34.1911624Z Running dynamo/test_model_output ... [2022-11-23 01:19:34.190906] 2022-11-23T01:19:34.1914353Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_model_output.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:34.191187] 2022-11-23T01:19:36.0668278Z 2022-11-23T01:19:36.0675047Z Expand the folded group to see the log file of dynamo/test_model_output 2022-11-23T01:19:36.0682014Z ##[group]PRINTING LOG FILE of dynamo/test_model_output (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_model_output_e1qrn244) 2022-11-23T01:19:36.0692151Z 2022-11-23T01:19:36.0692361Z Running tests... 2022-11-23T01:19:36.0693507Z ---------------------------------------------------------------------- 2022-11-23T01:19:36.0694368Z Test results will be stored in test-reports/python-unittest/dynamo.test_model_output 2022-11-23T01:19:36.0695128Z test_pretrained (__main__.TestHFPretrained) ... skip: requires HuggingFace (0.000s) 2022-11-23T01:19:36.0695835Z test_mo_assign (__main__.TestModelOutput) ... skip: requires HuggingFace (0.001s) 2022-11-23T01:19:36.0696495Z test_mo_create (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s) 2022-11-23T01:19:36.0697190Z test_mo_getattr (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s) 2022-11-23T01:19:36.0697879Z test_mo_getitem (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s) 2022-11-23T01:19:36.0698568Z test_mo_index (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s) 2022-11-23T01:19:36.0699219Z test_mo_init (__main__.TestModelOutput) ... skip: requires HuggingFace (0.001s) 2022-11-23T01:19:36.0699888Z test_mo_tuple (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s) 2022-11-23T01:19:36.0700263Z 2022-11-23T01:19:36.0700692Z ---------------------------------------------------------------------- 2022-11-23T01:19:36.0701173Z Ran 8 tests in 0.004s 2022-11-23T01:19:36.0701416Z 2022-11-23T01:19:36.0701564Z OK (skipped=8) 2022-11-23T01:19:36.0701786Z 2022-11-23T01:19:36.0701966Z Generating XML reports... 2022-11-23T01:19:36.0702915Z Generated XML report: test-reports/python-unittest/dynamo.test_model_output/TEST-TestHFPretrained-20221123011935.xml 2022-11-23T01:19:36.0704061Z Generated XML report: test-reports/python-unittest/dynamo.test_model_output/TEST-TestModelOutput-20221123011935.xml 2022-11-23T01:19:36.0708688Z 2022-11-23T01:19:36.0712703Z ##[endgroup] 2022-11-23T01:19:36.0717247Z FINISHED PRINTING LOG FILE of dynamo/test_model_output (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_model_output_e1qrn244) 2022-11-23T01:19:36.0721225Z 2022-11-23T01:19:38.0786765Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:38.1389228Z Ignoring disabled issues: [] 2022-11-23T01:19:38.1534438Z Running dynamo/test_modules ... [2022-11-23 01:19:38.153150] 2022-11-23T01:19:38.1536547Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:38.153414] 2022-11-23T01:19:41.5264294Z 2022-11-23T01:19:41.5264831Z Expand the folded group to see the log file of dynamo/test_modules 2022-11-23T01:19:41.5265907Z ##[group]PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules_1up04zes) 2022-11-23T01:19:41.5266332Z 2022-11-23T01:19:41.5266463Z Running tests... 2022-11-23T01:19:41.5267128Z ---------------------------------------------------------------------- 2022-11-23T01:19:41.5267852Z Test results will be stored in test-reports/python-unittest/dynamo.test_modules 2022-11-23T01:19:41.5268421Z test_basicmodule1 (__main__.NNModuleTests) ... ok (0.354s) 2022-11-23T01:19:41.5269231Z test_basicmodule2 (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5270160Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5270551Z ok (0.014s) 2022-11-23T01:19:41.5270984Z test_call_fn_with_non_const_inputs_safe (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5271652Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5272054Z ok (0.015s) 2022-11-23T01:19:41.5272698Z test_cfgmod (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:41.5273167Z ok (0.026s) 2022-11-23T01:19:41.5273829Z test_children (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5274282Z ok (0.019s) 2022-11-23T01:19:41.5274939Z test_constloop (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:41.5275519Z ok (0.026s) 2022-11-23T01:19:41.5275893Z test_densenet (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5276530Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:41.5276926Z ok (0.018s) 2022-11-23T01:19:41.5277320Z test_enumvalues (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5277920Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:41.5278321Z ok (0.017s) 2022-11-23T01:19:41.5278982Z test_fnmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5279428Z ok (0.012s) 2022-11-23T01:19:41.5280101Z test_fnmembercmp1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5280665Z ok (0.013s) 2022-11-23T01:19:41.5281332Z test_fnmembercmp2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5281808Z ok (0.013s) 2022-11-23T01:19:41.5282209Z test_forward_directly (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5282927Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5283326Z ok (0.020s) 2022-11-23T01:19:41.5283694Z test_generation_tag (__main__.NNModuleTests) ... ok (0.003s) 2022-11-23T01:19:41.5284456Z test_hasattr (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5285086Z ok (0.010s) 2022-11-23T01:19:41.5285742Z test_intarg (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5286182Z ok (0.014s) 2022-11-23T01:19:41.5286837Z test_iseval1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5287301Z ok (0.012s) 2022-11-23T01:19:41.5287930Z test_iseval2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5288398Z ok (0.012s) 2022-11-23T01:19:41.5289070Z test_isnonelayer (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5289544Z ok (0.011s) 2022-11-23T01:19:41.5290187Z test_istraining1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5290660Z ok (0.012s) 2022-11-23T01:19:41.5291320Z test_istraining2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5291766Z ok (0.011s) 2022-11-23T01:19:41.5292422Z test_layerlist (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5292895Z ok (0.016s) 2022-11-23T01:19:41.5294067Z test_lazy_module (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:41.5295057Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:41.5296307Z [2022-11-23 01:19:40,360] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:19:41.5297694Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:41.5298582Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:41.5299677Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:41.5300574Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:41.5301810Z [2022-11-23 01:19:40,385] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:19:41.5303197Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:41.5304080Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:41.5304581Z frames [('total', 16), ('ok', 14)] 2022-11-23T01:19:41.5305945Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)] 2022-11-23T01:19:41.5307169Z unimplemented [("Guard setup for uninitialized class ", 2)] 2022-11-23T01:19:41.5307883Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)] 2022-11-23T01:19:41.5308534Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5308935Z ok (0.063s) 2022-11-23T01:19:41.5309368Z test_module_attribute_precedence (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5310004Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5310397Z ok (0.011s) 2022-11-23T01:19:41.5310804Z test_module_class_method (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5311427Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:41.5311831Z ok (0.029s) 2022-11-23T01:19:41.5312523Z test_module_name_string (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5313007Z ok (0.015s) 2022-11-23T01:19:41.5313383Z test_module_property (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5314010Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5314410Z ok (0.007s) 2022-11-23T01:19:41.5314797Z test_module_static_method (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5315432Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:41.5315829Z ok (0.029s) 2022-11-23T01:19:41.5316475Z test_moduledict (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5316947Z ok (0.011s) 2022-11-23T01:19:41.5317618Z test_modulelist (__main__.NNModuleTests) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)] 2022-11-23T01:19:41.5318122Z ok (0.105s) 2022-11-23T01:19:41.5318494Z test_modulemethod1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5319122Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:41.5319517Z ok (0.029s) 2022-11-23T01:19:41.5319890Z test_modulemethod2 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5320510Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:41.5320986Z ok (0.029s) 2022-11-23T01:19:41.5321662Z test_nn_moduledict_contains (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:41.5322252Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:41.5322743Z inline_call [('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:41.5323593Z unimplemented [("Guard setup for uninitialized class .M'>", 1)] 2022-11-23T01:19:41.5324277Z graph_break [('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:41.5324645Z ok (0.020s) 2022-11-23T01:19:41.5325131Z test_parameters1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5325737Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5326133Z ok (0.009s) 2022-11-23T01:19:41.5326497Z test_parameters2 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5327102Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5327496Z ok (0.009s) 2022-11-23T01:19:41.5328167Z test_parameters3 (__main__.NNModuleTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:41.5328645Z ok (0.018s) 2022-11-23T01:19:41.5329300Z test_self_mutating1 (__main__.NNModuleTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:41.5329784Z ok (0.038s) 2022-11-23T01:19:41.5330421Z test_seq (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5330857Z ok (0.018s) 2022-11-23T01:19:41.5331794Z test_simple_torch_function (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:41.5332623Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:41.5333563Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:41.5334280Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:41.5334734Z inline_call [] 2022-11-23T01:19:41.5335268Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5335647Z ok (0.013s) 2022-11-23T01:19:41.5336324Z test_stringmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:41.5336800Z ok (0.012s) 2022-11-23T01:19:41.5337169Z test_submodules1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5337789Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:41.5338188Z ok (0.025s) 2022-11-23T01:19:41.5338572Z test_submodules2 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5339173Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:41.5339564Z ok (0.025s) 2022-11-23T01:19:41.5339933Z test_super1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5340520Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5340914Z ok (0.016s) 2022-11-23T01:19:41.5341317Z test_super_class_method (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5341931Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:41.5342429Z ok (0.008s) 2022-11-23T01:19:41.5343097Z test_tensorlist (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5343545Z ok (0.012s) 2022-11-23T01:19:41.5344503Z test_torch_function_with_closure (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:41.5345334Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:41.5346271Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:41.5346981Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:41.5347725Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5348119Z ok (0.009s) 2022-11-23T01:19:41.5348681Z test_unsupportedmethod (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:41.5349476Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:41.5349998Z unimplemented [] 2022-11-23T01:19:41.5350692Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:41.5351419Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:19:41.5351810Z ok (0.030s) 2022-11-23T01:19:41.5352368Z test_unsupportedmodule (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:41.5353181Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:41.5353695Z unimplemented [] 2022-11-23T01:19:41.5354398Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:41.5355142Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:41.5355528Z ok (0.031s) 2022-11-23T01:19:41.5355921Z test_viamodulecall (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:19:41.5356543Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:41.5356918Z ok (0.015s) 2022-11-23T01:19:41.5357294Z test_attr (__main__.OptimizedModuleTest) ... ok (0.002s) 2022-11-23T01:19:41.5357946Z test_composition (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:41.5358358Z inline_call [] 2022-11-23T01:19:41.5358885Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5359282Z ok (0.009s) 2022-11-23T01:19:41.5359890Z test_composition_with_opt_mod (__main__.OptimizedModuleTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:41.5360649Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:41.5361434Z inline_call [('inline in skipfiles: forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:19:41.5361935Z unimplemented [] 2022-11-23T01:19:41.5362610Z graph_break [('inline in skipfiles: forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:19:41.5363084Z ok (0.011s) 2022-11-23T01:19:41.5363642Z test_nn_module (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:41.5364292Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5364672Z ok (0.012s) 2022-11-23T01:19:41.5365329Z test_recursion (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:41.5365983Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:41.5366371Z ok (0.013s) 2022-11-23T01:19:41.5366896Z test_to (__main__.OptimizedModuleTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:41.5367625Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:41.5367996Z ok (0.033s) 2022-11-23T01:19:41.5368176Z 2022-11-23T01:19:41.5368534Z ---------------------------------------------------------------------- 2022-11-23T01:19:41.5368964Z Ran 54 tests in 1.365s 2022-11-23T01:19:41.5369161Z 2022-11-23T01:19:41.5369263Z OK 2022-11-23T01:19:41.5369405Z 2022-11-23T01:19:41.5369551Z Generating XML reports... 2022-11-23T01:19:41.5370298Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-NNModuleTests-20221123011939.xml 2022-11-23T01:19:41.5371268Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-OptimizedModuleTest-20221123011939.xml 2022-11-23T01:19:41.5371710Z 2022-11-23T01:19:41.5372172Z ##[endgroup] 2022-11-23T01:19:41.5372962Z FINISHED PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules_1up04zes) 2022-11-23T01:19:41.5373411Z 2022-11-23T01:19:43.5202587Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:43.5797662Z Ignoring disabled issues: [] 2022-11-23T01:19:43.5943845Z Running dynamo/test_no_fake_tensors ... [2022-11-23 01:19:43.593964] 2022-11-23T01:19:43.5944648Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_no_fake_tensors.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:43.594259] 2022-11-23T01:19:53.5857814Z 2022-11-23T01:19:53.5858355Z Expand the folded group to see the log file of dynamo/test_no_fake_tensors 2022-11-23T01:19:53.5859512Z ##[group]PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_mw5153jn) 2022-11-23T01:19:53.5859893Z 2022-11-23T01:19:53.5860002Z Running tests... 2022-11-23T01:19:53.5860610Z ---------------------------------------------------------------------- 2022-11-23T01:19:53.5861284Z Test results will be stored in test-reports/python-unittest/dynamo.test_no_fake_tensors 2022-11-23T01:19:53.5861916Z test_T_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.350s) 2022-11-23T01:19:53.5862946Z test_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5863744Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5864155Z ok (0.006s) 2022-11-23T01:19:53.5864688Z test_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5865442Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.5865844Z ok (0.011s) 2022-11-23T01:19:53.5866691Z test_chunks1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5867251Z ok (0.007s) 2022-11-23T01:19:53.5868145Z test_const_tuple_add1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.5868753Z ok (0.007s) 2022-11-23T01:19:53.5869600Z test_const_tuple_add2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.5870192Z ok (0.007s) 2022-11-23T01:19:53.5871066Z test_constant1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5871631Z ok (0.006s) 2022-11-23T01:19:53.5872765Z test_constant2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5873365Z ok (0.006s) 2022-11-23T01:19:53.5874238Z test_constant3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5874842Z ok (0.005s) 2022-11-23T01:19:53.5875700Z test_constant4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5876294Z ok (0.005s) 2022-11-23T01:19:53.5877186Z test_default_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5877868Z ok (0.009s) 2022-11-23T01:19:53.5878666Z test_del_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5879193Z ok (0.006s) 2022-11-23T01:19:53.5880062Z test_device_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5880681Z ok (0.006s) 2022-11-23T01:19:53.5881493Z test_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5882046Z ok (0.005s) 2022-11-23T01:19:53.5882819Z test_dict_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5883347Z ok (0.005s) 2022-11-23T01:19:53.5884176Z test_dict_ops_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:53.5884704Z ok (0.011s) 2022-11-23T01:19:53.5885714Z test_dict_param_keys_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5886244Z ok (0.006s) 2022-11-23T01:19:53.5887113Z test_dtype_compare_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5887684Z ok (0.007s) 2022-11-23T01:19:53.5888494Z test_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5889037Z ok (0.005s) 2022-11-23T01:19:53.5889876Z test_finfo_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5890454Z ok (0.007s) 2022-11-23T01:19:53.5891276Z test_float_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5891871Z ok (0.005s) 2022-11-23T01:19:53.5892705Z test_fn_with_self_set_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.5893244Z ok (0.013s) 2022-11-23T01:19:53.5894045Z test_fstrings1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5894612Z ok (0.008s) 2022-11-23T01:19:53.5895597Z test_fstrings2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5896172Z ok (0.008s) 2022-11-23T01:19:53.5896964Z test_fstrings3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5897526Z ok (0.008s) 2022-11-23T01:19:53.5898020Z test_funcdef_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5898763Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:19:53.5899145Z ok (0.013s) 2022-11-23T01:19:53.5899945Z test_globalfn_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5900620Z ok (0.005s) 2022-11-23T01:19:53.5901422Z test_globalmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5901990Z ok (0.006s) 2022-11-23T01:19:53.5902817Z test_globalvar_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5903357Z ok (0.006s) 2022-11-23T01:19:53.5904163Z test_import1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5904696Z ok (0.006s) 2022-11-23T01:19:53.5905517Z test_indirect1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5906074Z ok (0.005s) 2022-11-23T01:19:53.5906899Z test_indirect2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5907437Z ok (0.005s) 2022-11-23T01:19:53.5908295Z test_indirect3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5908804Z ok (0.005s) 2022-11-23T01:19:53.5909279Z test_inline_jit_annotations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5910040Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5910414Z ok (0.007s) 2022-11-23T01:19:53.5911259Z test_inline_softmax_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5911849Z ok (0.007s) 2022-11-23T01:19:53.5912386Z test_inline_with_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5913132Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5913514Z ok (0.006s) 2022-11-23T01:19:53.5914029Z test_inner_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5914720Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5915112Z ok (0.005s) 2022-11-23T01:19:53.5916009Z test_is_contiguous_memory_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5916619Z ok (0.005s) 2022-11-23T01:19:53.5917588Z test_is_fx_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5918177Z ok (0.005s) 2022-11-23T01:19:53.5919100Z test_is_in_onnx_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5919683Z ok (0.005s) 2022-11-23T01:19:53.5920470Z test_is_not_null_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5921104Z ok (0.005s) 2022-11-23T01:19:53.5922682Z test_is_quantized_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5923332Z ok (0.005s) 2022-11-23T01:19:53.5924136Z test_is_sparse_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5924681Z ok (0.004s) 2022-11-23T01:19:53.5925643Z test_islice_chain_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:53.5926208Z ok (0.009s) 2022-11-23T01:19:53.5927060Z test_jit_annotate_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5927611Z ok (0.006s) 2022-11-23T01:19:53.5928497Z test_len_constant_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5929042Z ok (0.005s) 2022-11-23T01:19:53.5929924Z test_len_constant_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5930484Z ok (0.006s) 2022-11-23T01:19:53.5931377Z test_len_constant_misc_iterables_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5931988Z ok (0.005s) 2022-11-23T01:19:53.5932857Z test_len_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5933435Z ok (0.005s) 2022-11-23T01:19:53.5934275Z test_list_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5934840Z ok (0.005s) 2022-11-23T01:19:53.5935694Z test_list_clear_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5936273Z ok (0.007s) 2022-11-23T01:19:53.5937131Z test_list_convert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.5937716Z ok (0.007s) 2022-11-23T01:19:53.5938579Z test_list_reversed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.5939174Z ok (0.007s) 2022-11-23T01:19:53.5940050Z test_list_slice_assignment_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5940797Z ok (0.006s) 2022-11-23T01:19:53.5941691Z test_list_truth_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5942235Z ok (0.006s) 2022-11-23T01:19:53.5943103Z test_listarg1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5943670Z ok (0.005s) 2022-11-23T01:19:53.5944533Z test_listarg2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5945103Z ok (0.005s) 2022-11-23T01:19:53.5946069Z test_listarg3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5946656Z ok (0.006s) 2022-11-23T01:19:53.5947518Z test_listarg4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5948077Z ok (0.005s) 2022-11-23T01:19:53.5948939Z test_listarg5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5949518Z ok (0.006s) 2022-11-23T01:19:53.5950369Z test_load_global_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5950965Z ok (0.005s) 2022-11-23T01:19:53.5951473Z test_map_sum_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5952189Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:53.5952562Z ok (0.010s) 2022-11-23T01:19:53.5953095Z test_methodcall1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5953843Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5954221Z ok (0.006s) 2022-11-23T01:19:53.5954753Z test_methodcall2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5955498Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5955878Z ok (0.006s) 2022-11-23T01:19:53.5956356Z test_methodcall3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.5957124Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5957524Z ok (0.006s) 2022-11-23T01:19:53.5958361Z test_min_max_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:19:53.5958943Z ok (0.010s) 2022-11-23T01:19:53.5959808Z test_module_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.5960384Z ok (0.008s) 2022-11-23T01:19:53.5961326Z test_ndim_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5961909Z ok (0.005s) 2022-11-23T01:19:53.5962719Z test_pop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.5963234Z ok (0.008s) 2022-11-23T01:19:53.5964190Z test_reduce_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5964908Z ok (0.007s) 2022-11-23T01:19:53.5965801Z test_return_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5966337Z ok (0.007s) 2022-11-23T01:19:53.5967164Z test_return_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5967736Z ok (0.007s) 2022-11-23T01:19:53.5968626Z test_return_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5969336Z ok (0.006s) 2022-11-23T01:19:53.5970126Z test_return_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5970710Z ok (0.005s) 2022-11-23T01:19:53.5971541Z test_shape1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5972117Z ok (0.005s) 2022-11-23T01:19:53.5972967Z test_shape2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5973542Z ok (0.005s) 2022-11-23T01:19:53.5974378Z test_slice1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5974960Z ok (0.004s) 2022-11-23T01:19:53.5975822Z test_slice2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5976380Z ok (0.004s) 2022-11-23T01:19:53.5977208Z test_slice3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5977782Z ok (0.005s) 2022-11-23T01:19:53.5978632Z test_slice4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5979200Z ok (0.005s) 2022-11-23T01:19:53.5980039Z test_slice5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5980623Z ok (0.005s) 2022-11-23T01:19:53.5981457Z test_slice6_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5982012Z ok (0.008s) 2022-11-23T01:19:53.5982879Z test_startswith_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5983443Z ok (0.010s) 2022-11-23T01:19:53.5984305Z test_tensor_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5984867Z ok (0.010s) 2022-11-23T01:19:53.5985757Z test_tensor_new_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5986497Z ok (0.010s) 2022-11-23T01:19:53.5987374Z test_tensor_new_with_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5987951Z ok (0.010s) 2022-11-23T01:19:53.5988836Z test_transpose_for_scores_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5989435Z ok (0.010s) 2022-11-23T01:19:53.5990208Z test_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5990741Z ok (0.008s) 2022-11-23T01:19:53.5991641Z test_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5992152Z ok (0.009s) 2022-11-23T01:19:53.5992924Z test_tuple_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.5993470Z ok (0.009s) 2022-11-23T01:19:53.5994251Z test_tuple_iadd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.5994822Z ok (0.009s) 2022-11-23T01:19:53.5995631Z test_unpack1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5996231Z ok (0.006s) 2022-11-23T01:19:53.5997095Z test_unpack2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5997633Z ok (0.006s) 2022-11-23T01:19:53.5998468Z test_unpack3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.5999003Z ok (0.006s) 2022-11-23T01:19:53.5999801Z test_unpack_ex1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6000338Z ok (0.007s) 2022-11-23T01:19:53.6001244Z test_unpack_ex2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6001793Z ok (0.007s) 2022-11-23T01:19:53.6002601Z test_unpack_ex3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6003122Z ok (0.007s) 2022-11-23T01:19:53.6003975Z test_viamethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6004557Z ok (0.005s) 2022-11-23T01:19:53.6005592Z test_viatorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6006176Z ok (0.005s) 2022-11-23T01:19:53.6006910Z test_allow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6007658Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6008039Z ok (0.007s) 2022-11-23T01:19:53.6009040Z test_autocast_cpu_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:53.6009626Z ok (0.011s) 2022-11-23T01:19:53.6010153Z test_autocast_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:53.6010974Z test_autocast_float64_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:53.6011753Z test_autocast_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:53.6012576Z test_autograd_function_equivalence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6013489Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6013882Z ok (0.010s) 2022-11-23T01:19:53.6014881Z test_autograd_profiler_enabled_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:19:46 1921:1921 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:53.6015910Z STAGE:2022-11-23 01:19:46 1921:1921 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:53.6016712Z STAGE:2022-11-23 01:19:46 1921:1921 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:53.6017278Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6017608Z unimplemented [] 2022-11-23T01:19:53.6018155Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)] 2022-11-23T01:19:53.6018810Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:53.6019209Z ok (0.012s) 2022-11-23T01:19:53.6020140Z test_autograd_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:19:46 1921:1921 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:53.6021108Z STAGE:2022-11-23 01:19:46 1921:1921 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:53.6021888Z STAGE:2022-11-23 01:19:46 1921:1921 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:53.6022641Z [2022-11-23 01:19:46,231] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:53.6023174Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6023489Z unimplemented [] 2022-11-23T01:19:53.6023896Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:53.6024463Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6024840Z ok (0.014s) 2022-11-23T01:19:53.6025692Z test_boolarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:53.6026271Z ok (0.010s) 2022-11-23T01:19:53.6026783Z test_build_tuple_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6027560Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6027954Z ok (0.011s) 2022-11-23T01:19:53.6028842Z test_builtin_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6029437Z ok (0.007s) 2022-11-23T01:19:53.6030011Z test_builtin_subclasses_as_method_on_class_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.003s) 2022-11-23T01:19:53.6030831Z test_builtin_subclasses_as_method_on_var_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.004s) 2022-11-23T01:19:53.6032070Z test_callpacked_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6032646Z ok (0.009s) 2022-11-23T01:19:53.6033408Z test_cell_output1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6034164Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6034545Z ok (0.004s) 2022-11-23T01:19:53.6035280Z test_cell_output2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6035813Z unimplemented [] 2022-11-23T01:19:53.6036518Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:53.6037352Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6037751Z ok (0.008s) 2022-11-23T01:19:53.6038647Z test_change_backends_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:53.6039326Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6039627Z ok (0.020s) 2022-11-23T01:19:53.6040503Z test_cond_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:53.6041174Z ok (0.025s) 2022-11-23T01:19:53.6042048Z test_cond_export_single_arg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)] 2022-11-23T01:19:53.6042679Z ok (0.013s) 2022-11-23T01:19:53.6043471Z test_cond_nested_fake_tensor_off_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6044262Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:53.6044646Z ok (0.024s) 2022-11-23T01:19:53.6045499Z test_cond_nested_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6046257Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:19:53.6046629Z ok (0.023s) 2022-11-23T01:19:53.6047357Z test_cond_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6048103Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:53.6048499Z ok (0.013s) 2022-11-23T01:19:53.6049281Z test_config_getattr_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6050074Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)] 2022-11-23T01:19:53.6050465Z ok (0.027s) 2022-11-23T01:19:53.6051215Z test_config_log_level_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6051935Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6052325Z ok (0.005s) 2022-11-23T01:19:53.6053050Z test_config_obj_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6053808Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:19:53.6054198Z ok (0.019s) 2022-11-23T01:19:53.6054762Z test_const_dict_variable_python_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:53.6056265Z test_cross_entropy_loss_fancy_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:19:53.6057106Z warnings.warn(warning.format(ret)) 2022-11-23T01:19:53.6057434Z ok (0.002s) 2022-11-23T01:19:53.6057931Z test_cross_entropy_loss_simple_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:19:53.6058855Z test_dataclass_fields_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6059373Z inline_call [] 2022-11-23T01:19:53.6059898Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6060382Z ok (0.038s) 2022-11-23T01:19:53.6061121Z test_dict_mutation_side_effect_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6061867Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6062238Z ok (0.006s) 2022-11-23T01:19:53.6063066Z test_dict_reconstruct_keeps_original_order_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 13), ('ok', 12)] 2022-11-23T01:19:53.6064031Z unimplemented [("Guard setup for uninitialized class ", 1)] 2022-11-23T01:19:53.6065740Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)] 2022-11-23T01:19:53.6066976Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:53.6067358Z ok (0.039s) 2022-11-23T01:19:53.6068115Z test_dictcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6068636Z inline_call [] 2022-11-23T01:19:53.6069169Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6069543Z ok (0.007s) 2022-11-23T01:19:53.6070072Z test_disable_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:19:53.6071065Z test_disallow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6071595Z unimplemented [] 2022-11-23T01:19:53.6072291Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)] 2022-11-23T01:19:53.6073029Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6073417Z ok (0.010s) 2022-11-23T01:19:53.6073948Z test_dunder_methods_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6074699Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6075093Z ok (0.019s) 2022-11-23T01:19:53.6075621Z test_duplicate_graph_break_warning_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... break 2022-11-23T01:19:53.6076137Z break 2022-11-23T01:19:53.6097728Z frames [('total', 9), ('ok', 9)] 2022-11-23T01:19:53.6098355Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)] 2022-11-23T01:19:53.6098915Z unimplemented [] 2022-11-23T01:19:53.6099696Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)] 2022-11-23T01:19:53.6100412Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)] 2022-11-23T01:19:53.6100723Z ok (0.023s) 2022-11-23T01:19:53.6101151Z test_dynamo_min_operator_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.003s) 2022-11-23T01:19:53.6101938Z test_empty_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6102579Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:53.6102912Z ok (0.008s) 2022-11-23T01:19:53.6103774Z test_enum_no_graphbreaks_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6104405Z ok (0.009s) 2022-11-23T01:19:53.6105076Z test_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6105782Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6106151Z ok (0.004s) 2022-11-23T01:19:53.6106952Z test_fold_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6107512Z ok (0.004s) 2022-11-23T01:19:53.6108394Z test_frozenset_torch_func_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6108981Z ok (0.008s) 2022-11-23T01:19:53.6109808Z test_function_annotation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:53.6110377Z ok (0.008s) 2022-11-23T01:19:53.6111163Z test_generate_tensor_from_list_of_numpy_primitive_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6111731Z unimplemented [] 2022-11-23T01:19:53.6112089Z graph_break [('numpy', 1)] 2022-11-23T01:19:53.6112601Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6112972Z ok (0.007s) 2022-11-23T01:19:53.6113640Z test_grad_mode_guard_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6114158Z unimplemented [] 2022-11-23T01:19:53.6114564Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:53.6115089Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6115459Z ok (0.011s) 2022-11-23T01:19:53.6116183Z test_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6116682Z unimplemented [] 2022-11-23T01:19:53.6117077Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:19:53.6117621Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6118004Z ok (0.009s) 2022-11-23T01:19:53.6118724Z test_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6119252Z unimplemented [] 2022-11-23T01:19:53.6119919Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)] 2022-11-23T01:19:53.6120738Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:53.6121109Z ok (0.015s) 2022-11-23T01:19:53.6121989Z test_id_of_nn_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6122694Z ok (0.009s) 2022-11-23T01:19:53.6123547Z test_if_cond_nn_mod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6124132Z ok (0.009s) 2022-11-23T01:19:53.6127835Z test_inference_mode_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6128437Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6128663Z ok (0.004s) 2022-11-23T01:19:53.6129099Z test_inline_dict_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6129576Z inline_call [] 2022-11-23T01:19:53.6129863Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6130091Z ok (0.006s) 2022-11-23T01:19:53.6130542Z test_inline_func_jump_on_tensor_condition_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6130946Z inline_call [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:53.6131150Z unimplemented [] 2022-11-23T01:19:53.6131416Z graph_break [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:53.6131757Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:53.6131969Z ok (0.010s) 2022-11-23T01:19:53.6132391Z test_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6132693Z inline_call [] 2022-11-23T01:19:53.6132978Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6133207Z ok (0.005s) 2022-11-23T01:19:53.6133680Z test_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6134010Z ok (0.005s) 2022-11-23T01:19:53.6134492Z test_inplace_param_update_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6134829Z ok (0.006s) 2022-11-23T01:19:53.6135310Z test_is_floating_point2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6135629Z ok (0.005s) 2022-11-23T01:19:53.6136113Z test_is_floating_point_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6136449Z ok (0.005s) 2022-11-23T01:19:53.6136857Z test_is_tensor2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6137266Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:53.6137490Z ok (0.007s) 2022-11-23T01:19:53.6137902Z test_is_tensor_like2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6138203Z unimplemented [] 2022-11-23T01:19:53.6138518Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)] 2022-11-23T01:19:53.6138896Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:53.6139122Z ok (0.010s) 2022-11-23T01:19:53.6139594Z test_is_tensor_like_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6139927Z ok (0.007s) 2022-11-23T01:19:53.6140460Z test_is_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6140790Z ok (0.005s) 2022-11-23T01:19:53.6141270Z test_item_changes_new_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:53.6141608Z ok (0.009s) 2022-11-23T01:19:53.6142084Z test_item_changes_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:53.6142402Z ok (0.009s) 2022-11-23T01:19:53.6142862Z test_item_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6143219Z ok (0.005s) 2022-11-23T01:19:53.6143531Z test_large_reduction_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.012s) 2022-11-23T01:19:53.6143944Z test_linetable_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:53.6144497Z test_list_append_return_none_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6144934Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6145161Z ok (0.005s) 2022-11-23T01:19:53.6145556Z test_list_mul_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6145847Z ok (0.002s) 2022-11-23T01:19:53.6146248Z test_listcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6146532Z inline_call [] 2022-11-23T01:19:53.6146829Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6147054Z ok (0.008s) 2022-11-23T01:19:53.6147367Z test_lnotab_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: use lnotab when python < 3.10 (0.000s) 2022-11-23T01:19:53.6147993Z test_manual_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6148328Z ok (0.007s) 2022-11-23T01:19:53.6148798Z test_matmul1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6149117Z ok (0.004s) 2022-11-23T01:19:53.6149425Z test_module_complex_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.010s) 2022-11-23T01:19:53.6149963Z test_module_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:53.6150268Z unimplemented [] 2022-11-23T01:19:53.6150581Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)] 2022-11-23T01:19:53.6150829Z inline_call [] 2022-11-23T01:19:53.6151111Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6151341Z ok (0.038s) 2022-11-23T01:19:53.6151643Z test_named_parameters_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.017s) 2022-11-23T01:19:53.6152181Z test_namedtuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6152592Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6152856Z ok (0.007s) 2022-11-23T01:19:53.6153270Z test_namedtuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6153678Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6153899Z ok (0.006s) 2022-11-23T01:19:53.6154306Z test_namedtuple3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6154726Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6154937Z ok (0.005s) 2022-11-23T01:19:53.6155332Z test_nan_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6155780Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6155994Z ok (0.004s) 2022-11-23T01:19:53.6156305Z test_nested_closure_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6156730Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)] 2022-11-23T01:19:53.6156955Z ok (0.013s) 2022-11-23T01:19:53.6157243Z test_nested_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6157662Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)] 2022-11-23T01:19:53.6157889Z ok (0.016s) 2022-11-23T01:19:53.6158479Z test_nested_disable_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:19:46,988] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 2022-11-23T01:19:53.6158893Z due to: 2022-11-23T01:19:53.6159083Z Traceback (most recent call last): 2022-11-23T01:19:53.6159460Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented 2022-11-23T01:19:53.6159721Z raise Unsupported(msg) 2022-11-23T01:19:53.6160084Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function .fn1 at 0x7fc698c384c0> 2022-11-23T01:19:53.6160344Z 2022-11-23T01:19:53.6160417Z from user code: 2022-11-23T01:19:53.6160760Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3 2022-11-23T01:19:53.6161001Z return fn2(x) 2022-11-23T01:19:53.6161246Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2 2022-11-23T01:19:53.6161495Z x = fn1(x) # graph break 2022-11-23T01:19:53.6161602Z 2022-11-23T01:19:53.6161734Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:53.6161900Z 2022-11-23T01:19:53.6161905Z 2022-11-23T01:19:53.6162035Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6162229Z unimplemented [] 2022-11-23T01:19:53.6162653Z graph_break [('call torch._dynamo.disable() wrapped function .fn1 at 0x7fc698c384c0>', 1)] 2022-11-23T01:19:53.6163089Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6163567Z inline_call [('call torch._dynamo.disable() wrapped function .fn1 at 0x7fc698c384c0>', 1)] 2022-11-23T01:19:53.6163866Z ok (0.011s) 2022-11-23T01:19:53.6164167Z test_nested_optimize_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6164593Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6165006Z ok (0.008s) 2022-11-23T01:19:53.6165556Z test_nested_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:53.6165906Z ok (0.011s) 2022-11-23T01:19:53.6166399Z test_nested_optimize_run_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:53.6166737Z ok (0.010s) 2022-11-23T01:19:53.6167036Z test_nn_sequential_invocation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6167465Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6167698Z ok (0.010s) 2022-11-23T01:19:53.6168036Z test_nn_sequential_invocation_reposition_indices_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6168515Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6168740Z ok (0.009s) 2022-11-23T01:19:53.6169182Z test_no_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6169608Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6169833Z ok (0.005s) 2022-11-23T01:19:53.6170311Z test_no_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)] 2022-11-23T01:19:53.6170637Z ok (0.041s) 2022-11-23T01:19:53.6171089Z test_numel_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6171414Z ok (0.006s) 2022-11-23T01:19:53.6171840Z test_numpy_int_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6172266Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6172495Z ok (0.005s) 2022-11-23T01:19:53.6172930Z test_numpy_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6173364Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6173576Z ok (0.004s) 2022-11-23T01:19:53.6173880Z test_object_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6174296Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6174508Z ok (0.005s) 2022-11-23T01:19:53.6174815Z test_object_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6175239Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6175463Z ok (0.005s) 2022-11-23T01:19:53.6175946Z test_onnx_shape_as_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)] 2022-11-23T01:19:53.6176284Z ok (0.019s) 2022-11-23T01:19:53.6176766Z test_optimize_on_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6177094Z ok (0.004s) 2022-11-23T01:19:53.6177560Z test_pair_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6177894Z ok (0.008s) 2022-11-23T01:19:53.6178339Z test_python_slice_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6178622Z ok (0.006s) 2022-11-23T01:19:53.6179036Z test_raise_on_backend_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:19:53.6179443Z stats [('calls_captured', 3), ('fusions_possible', 2)] 2022-11-23T01:19:53.6179694Z ok (0.004s) 2022-11-23T01:19:53.6180097Z test_raises_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6180394Z unimplemented [] 2022-11-23T01:19:53.6180710Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)] 2022-11-23T01:19:53.6181067Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6181332Z ok (0.007s) 2022-11-23T01:19:53.6181639Z test_rand_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:53.6182049Z test_range_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6182472Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6182698Z ok (0.006s) 2022-11-23T01:19:53.6183136Z test_recursive_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6183439Z inline_call [] 2022-11-23T01:19:53.6183743Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:53.6183967Z ok (0.014s) 2022-11-23T01:19:53.6184377Z test_release_input_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6184808Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6185032Z ok (0.003s) 2022-11-23T01:19:53.6185461Z test_release_module_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6185878Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6186105Z ok (0.004s) 2022-11-23T01:19:53.6186622Z test_repro_graph_breaks_in__get_item_by_idx_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6186962Z ok (0.005s) 2022-11-23T01:19:53.6187384Z test_return_nested_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6187816Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:19:53.6188044Z ok (0.011s) 2022-11-23T01:19:53.6188329Z test_sample_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.649s) 2022-11-23T01:19:53.6188869Z test_setattr_mutation1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6189385Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)] 2022-11-23T01:19:53.6189916Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) ", 1)] 2022-11-23T01:19:53.6190258Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6190577Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:19:53.6190808Z ok (0.013s) 2022-11-23T01:19:53.6191219Z test_setattr_mutation2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6191524Z inline_call [] 2022-11-23T01:19:53.6191861Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:53.6192077Z ok (0.010s) 2022-11-23T01:19:53.6192496Z test_setattr_mutation3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6192796Z inline_call [] 2022-11-23T01:19:53.6193090Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:53.6193300Z ok (0.011s) 2022-11-23T01:19:53.6193715Z test_shape_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6194137Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6194353Z ok (0.004s) 2022-11-23T01:19:53.6194842Z test_side_effects_codegen_update_mutated_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:53.6195172Z unimplemented [] 2022-11-23T01:19:53.6195403Z graph_break [('Tensor.item', 4)] 2022-11-23T01:19:53.6195717Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:19:53.6195942Z ok (0.025s) 2022-11-23T01:19:53.6196349Z test_size_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6196759Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:19:53.6196987Z ok (0.007s) 2022-11-23T01:19:53.6197468Z test_slice_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:19:53.6197785Z ok (0.018s) 2022-11-23T01:19:53.6198220Z test_tensor_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6198654Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6198886Z ok (0.015s) 2022-11-23T01:19:53.6199352Z test_tensor_data_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6199681Z ok (0.007s) 2022-11-23T01:19:53.6200098Z test_tensor_dict1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6200624Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6200844Z ok (0.010s) 2022-11-23T01:19:53.6201261Z test_tensor_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6201696Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:53.6201912Z ok (0.029s) 2022-11-23T01:19:53.6202357Z test_tensor_dot_grad_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6202672Z unimplemented [] 2022-11-23T01:19:53.6202903Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:19:53.6203228Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:53.6203453Z ok (0.022s) 2022-11-23T01:19:53.6203872Z test_tensor_is_contiguous_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6204291Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:53.6204515Z ok (0.017s) 2022-11-23T01:19:53.6205072Z test_tensor_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6205571Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6205799Z ok (0.010s) 2022-11-23T01:19:53.6206234Z test_tensor_item_no_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6206545Z unimplemented [] 2022-11-23T01:19:53.6206762Z graph_break [('Tensor.item', 1)] 2022-11-23T01:19:53.6207077Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6207308Z ok (0.005s) 2022-11-23T01:19:53.6207777Z test_tensor_layout_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6208113Z ok (0.006s) 2022-11-23T01:19:53.6208576Z test_tensor_types_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 10), ('ok', 10)] 2022-11-23T01:19:53.6209015Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)] 2022-11-23T01:19:53.6209227Z ok (0.029s) 2022-11-23T01:19:53.6209718Z test_top_package_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6210057Z ok (0.005s) 2022-11-23T01:19:53.6210544Z test_torch_cuda_is_available_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6210891Z ok (0.004s) 2022-11-23T01:19:53.6211333Z test_torch_nn_parameter_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6211779Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6211992Z ok (0.006s) 2022-11-23T01:19:53.6212530Z test_torch_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:19:48 1921:1921 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:19:53.6213078Z STAGE:2022-11-23 01:19:48 1921:1921 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:19:53.6213529Z STAGE:2022-11-23 01:19:48 1921:1921 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:19:53.6213935Z [2022-11-23 01:19:48,108] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:53.6214335Z [2022-11-23 01:19:48,109] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:19:53.6214623Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6214803Z unimplemented [] 2022-11-23T01:19:53.6215038Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:19:53.6215357Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6215571Z ok (0.015s) 2022-11-23T01:19:53.6216049Z test_torch_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6216384Z ok (0.006s) 2022-11-23T01:19:53.6216853Z test_torch_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6217221Z ok (0.005s) 2022-11-23T01:19:53.6217630Z test_type_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6218059Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:53.6218279Z ok (0.011s) 2022-11-23T01:19:53.6218772Z test_typing_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6219214Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6219443Z ok (0.005s) 2022-11-23T01:19:53.6219905Z test_unpack4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6220235Z ok (0.008s) 2022-11-23T01:19:53.6220710Z test_unpack5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6221033Z ok (0.008s) 2022-11-23T01:19:53.6221612Z test_unsupported_fake_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:19:48,165] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 2022-11-23T01:19:53.6222060Z due to: 2022-11-23T01:19:53.6222249Z Traceback (most recent call last): 2022-11-23T01:19:53.6222591Z File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key 2022-11-23T01:19:53.6222928Z raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") 2022-11-23T01:19:53.6223312Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta 2022-11-23T01:19:53.6223537Z 2022-11-23T01:19:53.6223679Z During handling of the above exception, another exception occurred: 2022-11-23T01:19:53.6223845Z 2022-11-23T01:19:53.6223926Z Traceback (most recent call last): 2022-11-23T01:19:53.6224314Z File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor 2022-11-23T01:19:53.6224674Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-11-23T01:19:53.6225035Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-11-23T01:19:53.6225251Z 2022-11-23T01:19:53.6225388Z The above exception was the direct cause of the following exception: 2022-11-23T01:19:53.6225558Z 2022-11-23T01:19:53.6225650Z Traceback (most recent call last): 2022-11-23T01:19:53.6226012Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node 2022-11-23T01:19:53.6226262Z raise RuntimeError( 2022-11-23T01:19:53.6226784Z RuntimeError: Failed running call_function (*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}): 2022-11-23T01:19:53.6227143Z quantized nyi in meta tensors 2022-11-23T01:19:53.6227342Z (scroll up for backtrace) 2022-11-23T01:19:53.6227446Z 2022-11-23T01:19:53.6227582Z The above exception was the direct cause of the following exception: 2022-11-23T01:19:53.6227748Z 2022-11-23T01:19:53.6227840Z Traceback (most recent call last): 2022-11-23T01:19:53.6228213Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value 2022-11-23T01:19:53.6228485Z raise TorchRuntimeError() from e 2022-11-23T01:19:53.6228725Z torch._dynamo.exc.TorchRuntimeError: 2022-11-23T01:19:53.6228870Z 2022-11-23T01:19:53.6228945Z from user code: 2022-11-23T01:19:53.6229175Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f 2022-11-23T01:19:53.6229462Z return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8) 2022-11-23T01:19:53.6229613Z 2022-11-23T01:19:53.6229740Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:53.6229896Z 2022-11-23T01:19:53.6229900Z 2022-11-23T01:19:53.6230005Z frames [('total', 1)] 2022-11-23T01:19:53.6230295Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6230529Z ok (0.010s) 2022-11-23T01:19:53.6231039Z test_update_locals_and_stack_uses_shared_cache_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6231373Z inline_call [] 2022-11-23T01:19:53.6231535Z unimplemented [] 2022-11-23T01:19:53.6231857Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)] 2022-11-23T01:19:53.6232104Z ok (0.009s) 2022-11-23T01:19:53.6232590Z test_user_defined_class_name_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6232934Z ok (0.007s) 2022-11-23T01:19:53.6233271Z test_user_function_variable_supports_enum_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6233589Z ok (0.005s) 2022-11-23T01:19:53.6233913Z test_user_function_variable_supports_function_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6234402Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6234631Z ok (0.005s) 2022-11-23T01:19:53.6234957Z test_user_function_variable_supports_type_abcmeta_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6235412Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6235638Z ok (0.005s) 2022-11-23T01:19:53.6236055Z test_user_getattr1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6236338Z inline_call [] 2022-11-23T01:19:53.6236635Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6236865Z ok (0.006s) 2022-11-23T01:19:53.6237270Z test_user_getattr2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6237570Z inline_call [] 2022-11-23T01:19:53.6237865Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6238078Z ok (0.006s) 2022-11-23T01:19:53.6238494Z test_user_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6238788Z inline_call [] 2022-11-23T01:19:53.6239082Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6239294Z ok (0.005s) 2022-11-23T01:19:53.6239598Z test_usr_cls_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6240016Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6240230Z ok (0.007s) 2022-11-23T01:19:53.6240640Z test_usr_cls_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6241075Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6241287Z ok (0.006s) 2022-11-23T01:19:53.6241580Z test_version_ci_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:53.6242008Z test_write_to_closures_in_inlining_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6242437Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6242651Z ok (0.007s) 2022-11-23T01:19:53.6243133Z test_basicmodule1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6243470Z ok (0.008s) 2022-11-23T01:19:53.6243999Z test_basicmodule2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6244318Z ok (0.008s) 2022-11-23T01:19:53.6244629Z test_call_fn_with_non_const_inputs_safe_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6245180Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6245398Z ok (0.010s) 2022-11-23T01:19:53.6245871Z test_cfgmod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:53.6246196Z ok (0.013s) 2022-11-23T01:19:53.6246665Z test_children_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6247045Z ok (0.009s) 2022-11-23T01:19:53.6247521Z test_constloop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:53.6247850Z ok (0.011s) 2022-11-23T01:19:53.6248131Z test_densenet_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6248541Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:53.6248766Z ok (0.014s) 2022-11-23T01:19:53.6249062Z test_enumvalues_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6249462Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:53.6249681Z ok (0.013s) 2022-11-23T01:19:53.6250151Z test_fnmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6250468Z ok (0.007s) 2022-11-23T01:19:53.6250945Z test_fnmembercmp1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6251273Z ok (0.008s) 2022-11-23T01:19:53.6251744Z test_fnmembercmp2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6252063Z ok (0.008s) 2022-11-23T01:19:53.6252363Z test_forward_directly_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6252780Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6253008Z ok (0.010s) 2022-11-23T01:19:53.6253291Z test_generation_tag_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:19:53.6253883Z test_hasattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6254214Z ok (0.007s) 2022-11-23T01:19:53.6254674Z test_intarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6254998Z ok (0.007s) 2022-11-23T01:19:53.6255465Z test_iseval1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6255786Z ok (0.008s) 2022-11-23T01:19:53.6256231Z test_iseval2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6256558Z ok (0.007s) 2022-11-23T01:19:53.6257091Z test_isnonelayer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6257421Z ok (0.006s) 2022-11-23T01:19:53.6257874Z test_istraining1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6258195Z ok (0.007s) 2022-11-23T01:19:53.6258667Z test_istraining2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6258985Z ok (0.007s) 2022-11-23T01:19:53.6259460Z test_layerlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6259828Z ok (0.008s) 2022-11-23T01:19:53.6260514Z test_lazy_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:53.6261096Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:53.6261771Z [2022-11-23 01:19:48,432] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:19:53.6262522Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:53.6263014Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:53.6263585Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:53.6264059Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:53.6264717Z [2022-11-23 01:19:48,456] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:19:53.6265455Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:19:53.6265933Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:19:53.6266207Z frames [('total', 16), ('ok', 14)] 2022-11-23T01:19:53.6266954Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)] 2022-11-23T01:19:53.6267619Z unimplemented [("Guard setup for uninitialized class ", 2)] 2022-11-23T01:19:53.6268017Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)] 2022-11-23T01:19:53.6268371Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6268598Z ok (0.044s) 2022-11-23T01:19:53.6268922Z test_module_attribute_precedence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6269390Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6269607Z ok (0.010s) 2022-11-23T01:19:53.6269912Z test_module_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6270332Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:53.6270544Z ok (0.016s) 2022-11-23T01:19:53.6271035Z test_module_name_string_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6271376Z ok (0.009s) 2022-11-23T01:19:53.6271678Z test_module_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6272117Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6272341Z ok (0.006s) 2022-11-23T01:19:53.6272648Z test_module_static_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6273054Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:53.6273277Z ok (0.016s) 2022-11-23T01:19:53.6273751Z test_moduledict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6274086Z ok (0.006s) 2022-11-23T01:19:53.6274552Z test_modulelist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)] 2022-11-23T01:19:53.6274884Z ok (0.042s) 2022-11-23T01:19:53.6275187Z test_modulemethod1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6275595Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:53.6275816Z ok (0.016s) 2022-11-23T01:19:53.6276112Z test_modulemethod2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6276524Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:19:53.6276734Z ok (0.016s) 2022-11-23T01:19:53.6277227Z test_nn_moduledict_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:53.6277618Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:53.6277879Z inline_call [('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:53.6278332Z unimplemented [("Guard setup for uninitialized class .M'>", 1)] 2022-11-23T01:19:53.6278738Z graph_break [('Patched init cannot be inlined.', 1)] 2022-11-23T01:19:53.6278950Z ok (0.017s) 2022-11-23T01:19:53.6279235Z test_parameters1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6279652Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6279876Z ok (0.008s) 2022-11-23T01:19:53.6280158Z test_parameters2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6280660Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6280890Z ok (0.008s) 2022-11-23T01:19:53.6281360Z test_parameters3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6281694Z ok (0.009s) 2022-11-23T01:19:53.6282230Z test_self_mutating1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:53.6282566Z ok (0.021s) 2022-11-23T01:19:53.6283018Z test_seq_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6283336Z ok (0.009s) 2022-11-23T01:19:53.6283958Z test_simple_torch_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:53.6284481Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:53.6285145Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:53.6285562Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:53.6285818Z inline_call [] 2022-11-23T01:19:53.6286123Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6286337Z ok (0.010s) 2022-11-23T01:19:53.6286820Z test_stringmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6287162Z ok (0.007s) 2022-11-23T01:19:53.6287450Z test_submodules1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6287865Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:53.6288089Z ok (0.013s) 2022-11-23T01:19:53.6288390Z test_submodules2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6288794Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:19:53.6289019Z ok (0.013s) 2022-11-23T01:19:53.6289307Z test_super1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6289703Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6289927Z ok (0.009s) 2022-11-23T01:19:53.6290228Z test_super_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6290635Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6290860Z ok (0.006s) 2022-11-23T01:19:53.6291331Z test_tensorlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6291660Z ok (0.009s) 2022-11-23T01:19:53.6292274Z test_torch_function_with_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:53.6292793Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:53.6293313Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:19:53.6293718Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:19:53.6294082Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6294310Z ok (0.006s) 2022-11-23T01:19:53.6294744Z test_unsupportedmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6295345Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:53.6295630Z unimplemented [] 2022-11-23T01:19:53.6296015Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:53.6296433Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:19:53.6296647Z ok (0.017s) 2022-11-23T01:19:53.6297079Z test_unsupportedmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6297601Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:19:53.6297897Z unimplemented [] 2022-11-23T01:19:53.6298315Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:19:53.6298732Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:19:53.6298958Z ok (0.019s) 2022-11-23T01:19:53.6299249Z test_viamodulecall_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6299663Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6299889Z ok (0.009s) 2022-11-23T01:19:53.6300270Z test_Size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6300745Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:53.6301021Z unimplemented [] 2022-11-23T01:19:53.6301382Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:53.6301763Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6301987Z ok (0.009s) 2022-11-23T01:19:53.6302400Z test_abc_setattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6302692Z unimplemented [] 2022-11-23T01:19:53.6303119Z graph_break [('setattr(UserDefinedObjectVariable) .Derived.__setattr__ at 0x7fc67097d240>', 1)] 2022-11-23T01:19:53.6303427Z inline_call [] 2022-11-23T01:19:53.6303719Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6303933Z ok (0.008s) 2022-11-23T01:19:53.6304230Z test_batch_norm_act_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6304642Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6304855Z ok (0.014s) 2022-11-23T01:19:53.6305289Z test_bigbird_unsqueeze_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6305726Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6306009Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6306182Z ok (0.440s) 2022-11-23T01:19:53.6306473Z test_boxes_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6306878Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6307091Z ok (0.009s) 2022-11-23T01:19:53.6307395Z test_chunk_reformer_ff_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6307804Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6308020Z ok (0.061s) 2022-11-23T01:19:53.6308567Z test_class_member_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6308899Z ok (0.008s) 2022-11-23T01:19:53.6309340Z test_convert_boxes_to_pooler_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6309641Z inline_call [] 2022-11-23T01:19:53.6309816Z unimplemented [] 2022-11-23T01:19:53.6310089Z graph_break [('dynamic shapes: repeat_interleave', 2)] 2022-11-23T01:19:53.6310419Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:19:53.6310648Z ok (0.054s) 2022-11-23T01:19:53.6310960Z test_create_rand_mask_from_inputs_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6311419Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:19:53.6311631Z ok (0.136s) 2022-11-23T01:19:53.6311928Z test_dict_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.005s) 2022-11-23T01:19:53.6312457Z test_dict_list_values_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:53.6312745Z unimplemented [] 2022-11-23T01:19:53.6313190Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)] 2022-11-23T01:19:53.6313506Z ok (0.016s) 2022-11-23T01:19:53.6313917Z test_do_paste_mask_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 12), ('ok', 11)] 2022-11-23T01:19:53.6314296Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:19:53.6314649Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)] 2022-11-23T01:19:53.6315023Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)] 2022-11-23T01:19:53.6315240Z ok (0.309s) 2022-11-23T01:19:53.6315720Z test_ellipsis_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6316051Z ok (0.010s) 2022-11-23T01:19:53.6316460Z test_exec_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:53.6316895Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6317148Z unimplemented [] 2022-11-23T01:19:53.6317469Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6317698Z ok (0.005s) 2022-11-23T01:19:53.6318117Z test_exec_wildcard_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:53.6318573Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6318820Z unimplemented [] 2022-11-23T01:19:53.6319127Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6319499Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:53.6319724Z ok (0.009s) 2022-11-23T01:19:53.6320148Z test_for_loop_graph_break_before_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6320467Z unimplemented [] 2022-11-23T01:19:53.6320936Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:19:53.6321195Z inline_call [] 2022-11-23T01:19:53.6321501Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)] 2022-11-23T01:19:53.6321736Z ok (0.120s) 2022-11-23T01:19:53.6322225Z test_for_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6322519Z inline_call [] 2022-11-23T01:19:53.6322890Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:19:53.6323293Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6323507Z ok (0.011s) 2022-11-23T01:19:53.6323815Z test_get_parameter_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6324240Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6324457Z ok (0.007s) 2022-11-23T01:19:53.6324930Z test_grad_mode_carrying_correct_state_after_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... Break 2022-11-23T01:19:53.6325364Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6325559Z unimplemented [] 2022-11-23T01:19:53.6325881Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6326260Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:19:53.6326486Z ok (0.010s) 2022-11-23T01:19:53.6326911Z test_guard_fail_nested_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6327349Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6327576Z ok (0.010s) 2022-11-23T01:19:53.6328213Z test_guard_fail_tensor_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:19:50,057] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT /var/lib/jenkins/workspace/test/dynamo/test_repros.py line 1356 2022-11-23T01:19:53.6328631Z due to: 2022-11-23T01:19:53.6328822Z Traceback (most recent call last): 2022-11-23T01:19:53.6329219Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 818, in wrap_fx_proxy_cls 2022-11-23T01:19:53.6329495Z raise AssertionError( 2022-11-23T01:19:53.6329910Z AssertionError: torch.* op returned non-Tensor bool call_function 2022-11-23T01:19:53.6330139Z 2022-11-23T01:19:53.6330209Z from user code: 2022-11-23T01:19:53.6330479Z File "/var/lib/jenkins/workspace/test/dynamo/test_repros.py", line 1358, in 2022-11-23T01:19:53.6330762Z assert torch.allclose(expected, result) 2022-11-23T01:19:53.6330900Z 2022-11-23T01:19:53.6331031Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:19:53.6331192Z 2022-11-23T01:19:53.6331199Z 2022-11-23T01:19:53.6331321Z frames [('total', 7), ('ok', 6)] 2022-11-23T01:19:53.6331641Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)] 2022-11-23T01:19:53.6332162Z graph_break [('call torch._dynamo.disable() wrapped function .fn..get_expected at 0x7fc67034c430>', 5)] 2022-11-23T01:19:53.6332484Z ok (0.020s) 2022-11-23T01:19:53.6332796Z test_guard_ordering_shape_fail_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:19:53.6333218Z test_hf_model_output_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6333633Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:19:53.6333862Z ok (0.049s) 2022-11-23T01:19:53.6334160Z test_hf_t5_forward_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6334568Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:19:53.6334798Z ok (0.606s) 2022-11-23T01:19:53.6335308Z test_indexing_with_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6335657Z inline_call [('Tensor.numpy', 1)] 2022-11-23T01:19:53.6335859Z unimplemented [] 2022-11-23T01:19:53.6336094Z graph_break [('Tensor.numpy', 1)] 2022-11-23T01:19:53.6336403Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)] 2022-11-23T01:19:53.6336630Z ok (0.015s) 2022-11-23T01:19:53.6336935Z test_is_symbolic_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6337360Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6337573Z ok (0.005s) 2022-11-23T01:19:53.6337874Z test_isinstance_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:19:53.6338811Z test_isinstance_storage_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:19:53.6339363Z warnings.warn(message, UserWarning) 2022-11-23T01:19:53.6339601Z frames [('total', 12), ('ok', 11)] 2022-11-23T01:19:53.6339794Z unimplemented [] 2022-11-23T01:19:53.6340271Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:19:53.6340787Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:19:53.6341073Z expected failure (0.011s) 2022-11-23T01:19:53.6341397Z test_issue1466_size_aot_autograd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... arf 2022-11-23T01:19:53.6341681Z arf 2022-11-23T01:19:53.6341876Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6342063Z unimplemented [] 2022-11-23T01:19:53.6342389Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6342753Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:19:53.6343041Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6343226Z ok (0.025s) 2022-11-23T01:19:53.6343510Z test_issue175_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6343929Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:19:53.6344156Z ok (0.021s) 2022-11-23T01:19:53.6344651Z test_longformer_chunk_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6344976Z ok (0.151s) 2022-11-23T01:19:53.6345393Z test_maml_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6345826Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:19:53.6346053Z unimplemented [] 2022-11-23T01:19:53.6346468Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:19:53.6346882Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)] 2022-11-23T01:19:53.6347109Z ok (0.086s) 2022-11-23T01:19:53.6347517Z test_maml_no_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:19:53.6347955Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:19:53.6348228Z unimplemented [] 2022-11-23T01:19:53.6348660Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:19:53.6349098Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)] 2022-11-23T01:19:53.6349325Z ok (0.112s) 2022-11-23T01:19:53.6349795Z test_modules_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6350106Z ok (0.009s) 2022-11-23T01:19:53.6350522Z test_multi_dot_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6351066Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:19:53.6351356Z unimplemented [] 2022-11-23T01:19:53.6351735Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:19:53.6352142Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6352367Z ok (0.010s) 2022-11-23T01:19:53.6352676Z test_multi_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires detectron2 (0.000s) 2022-11-23T01:19:53.6353294Z test_named_buffers_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:19:53.6353628Z ok (0.008s) 2022-11-23T01:19:53.6354043Z test_nn_parameter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6354498Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:53.6354764Z unimplemented [] 2022-11-23T01:19:53.6355104Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:19:53.6355470Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6355694Z ok (0.010s) 2022-11-23T01:19:53.6356140Z test_not_rewrite_assert_for_other_errors_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6356581Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6356790Z ok (0.006s) 2022-11-23T01:19:53.6357258Z test_not_rewrite_assert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:53.6357589Z ok (0.003s) 2022-11-23T01:19:53.6357984Z test_numpy_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6358282Z unimplemented [] 2022-11-23T01:19:53.6358696Z graph_break [('call torch._dynamo.disable() wrapped function .rand_gen at 0x7fc67034e5f0>', 1)] 2022-11-23T01:19:53.6359120Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6359330Z ok (0.023s) 2022-11-23T01:19:53.6359754Z test_optimized_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6360181Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6360388Z ok (0.008s) 2022-11-23T01:19:53.6360899Z test_primtorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6361452Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:19:53.6361740Z unimplemented [] 2022-11-23T01:19:53.6362107Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:19:53.6362380Z ok (0.004s) 2022-11-23T01:19:53.6362956Z test_primtorch_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:19:53.6363358Z expected failure (0.003s) 2022-11-23T01:19:53.6363791Z test_recursive_map_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6364127Z inline_call [] 2022-11-23T01:19:53.6364425Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6364637Z ok (0.010s) 2022-11-23T01:19:53.6365059Z test_reformer_eval_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6365485Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:19:53.6365697Z ok (0.025s) 2022-11-23T01:19:53.6365911Z test_reformer_min_chunk_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6366110Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6366177Z ok (0.010s) 2022-11-23T01:19:53.6366386Z test_reformer_sorting_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:19:53.6366588Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)] 2022-11-23T01:19:53.6366658Z ok (0.037s) 2022-11-23T01:19:53.6366982Z test_reformer_train_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6367258Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:19:53.6367336Z unimplemented [] 2022-11-23T01:19:53.6367697Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:19:53.6367894Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:19:53.6367960Z ok (0.044s) 2022-11-23T01:19:53.6368323Z test_reinplacing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:53.6368444Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6368637Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6368754Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6368820Z ok (0.841s) 2022-11-23T01:19:53.6369209Z test_relative_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6369275Z ok (0.008s) 2022-11-23T01:19:53.6369686Z test_relative_import_no_modulename_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6369751Z ok (0.005s) 2022-11-23T01:19:53.6370144Z test_rewrite_assert_noop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:19:53.6370214Z ok (0.018s) 2022-11-23T01:19:53.6370660Z test_rewrite_assert_with_fstring_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:19:53.6370715Z ok (0.004s) 2022-11-23T01:19:53.6371116Z test_rewrite_assert_with_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)] 2022-11-23T01:19:53.6371184Z ok (0.018s) 2022-11-23T01:19:53.6371589Z test_rewrite_assert_without_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)] 2022-11-23T01:19:53.6371655Z ok (0.012s) 2022-11-23T01:19:53.6371967Z test_rng_state_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6372204Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:19:53.6372270Z ok (0.012s) 2022-11-23T01:19:53.6372661Z test_seq_append_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6372713Z ok (0.013s) 2022-11-23T01:19:53.6373390Z test_sigmoid_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6373525Z torch.sigmoid(inp, out=out1) 2022-11-23T01:19:53.6374391Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6374488Z return node.target(*args, **kwargs) 2022-11-23T01:19:53.6375041Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6375137Z torch.sigmoid(inp, out=out1) 2022-11-23T01:19:53.6375255Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:53.6375451Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:19:53.6375517Z ok (0.027s) 2022-11-23T01:19:53.6375917Z test_slice_into_list_mutable_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)] 2022-11-23T01:19:53.6375983Z ok (0.025s) 2022-11-23T01:19:53.6376316Z test_slicing_dynamic_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6376469Z unimplemented [('Dynamic slicing not supported', 2)] 2022-11-23T01:19:53.6376666Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:19:53.6376731Z ok (0.009s) 2022-11-23T01:19:53.6377107Z test_slicing_dynamic_shape_setitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:19:53.6377272Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:19:53.6377427Z graph_break [('Dynamic slicing not supported', 1)] 2022-11-23T01:19:53.6377618Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6377672Z ok (0.007s) 2022-11-23T01:19:53.6378334Z test_sort_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6378470Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:19:53.6379344Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6379442Z return node.target(*args, **kwargs) 2022-11-23T01:19:53.6380004Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6380115Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:19:53.6380668Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:19:53.6380780Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:19:53.6380904Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:19:53.6381101Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:19:53.6381168Z ok (0.036s) 2022-11-23T01:19:53.6381500Z test_specialized_stride_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6381695Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6381762Z ok (0.005s) 2022-11-23T01:19:53.6382086Z test_tensor_isinstance_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6382279Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6382344Z ok (0.005s) 2022-11-23T01:19:53.6382667Z test_tokenization_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6382954Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:19:53.6383031Z unimplemented [] 2022-11-23T01:19:53.6383270Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:19:53.6383336Z ok (0.009s) 2022-11-23T01:19:53.6383710Z test_torch_ops_aten_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6383776Z ok (0.010s) 2022-11-23T01:19:53.6384170Z test_vdd_duplicate_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:19:53.6384265Z ok (0.011s) 2022-11-23T01:19:53.6384597Z test_while_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:19:53.6384669Z inline_call [] 2022-11-23T01:19:53.6384942Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:19:53.6385137Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6385190Z ok (0.007s) 2022-11-23T01:19:53.6385399Z test_with_on_graph_break_inst_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... Hello world 2022-11-23T01:19:53.6385465Z Hello world 2022-11-23T01:19:53.6385583Z frames [('total', 6), ('ok', 6)] 2022-11-23T01:19:53.6385804Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:19:53.6385880Z unimplemented [] 2022-11-23T01:19:53.6386140Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)] 2022-11-23T01:19:53.6386342Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)] 2022-11-23T01:19:53.6386394Z ok (0.025s) 2022-11-23T01:19:53.6386622Z test_builtin_functions_on_cuda_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:19:53.6386945Z test_builtin_getitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6387139Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6387206Z ok (0.013s) 2022-11-23T01:19:53.6387519Z test_builtin_max_min_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6387711Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:19:53.6387780Z ok (0.007s) 2022-11-23T01:19:53.6388116Z test_feed_random_values_into_graph_only_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6388308Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:19:53.6388373Z ok (0.008s) 2022-11-23T01:19:53.6388744Z test_multiple_consecutive_random_calls_before_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6388940Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6389006Z ok (0.009s) 2022-11-23T01:19:53.6389332Z test_no_recompilations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6389521Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6389576Z ok (0.005s) 2022-11-23T01:19:53.6389932Z test_numpy_correctness_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:19:53.6390121Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)] 2022-11-23T01:19:53.6390271Z graph_break [('Tensor.numpy', 2), ('numpy', 2)] 2022-11-23T01:19:53.6390466Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6390531Z ok (0.024s) 2022-11-23T01:19:53.6390868Z test_random_call_with_while_loop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6391060Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:19:53.6391111Z ok (0.007s) 2022-11-23T01:19:53.6391450Z test_random_values_with_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:19:53.6391554Z unimplemented [] 2022-11-23T01:19:53.6391679Z graph_break [('Tensor.item', 2)] 2022-11-23T01:19:53.6391878Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:19:53.6391946Z ok (0.174s) 2022-11-23T01:19:53.6392276Z test_unspec_float_precision_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:19:53.6392469Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:19:53.6392521Z ok (0.051s) 2022-11-23T01:19:53.6392543Z 2022-11-23T01:19:53.6392729Z ---------------------------------------------------------------------- 2022-11-23T01:19:53.6392806Z Ran 375 tests in 7.590s 2022-11-23T01:19:53.6392811Z 2022-11-23T01:19:53.6392903Z OK (skipped=7, expected failures=2) 2022-11-23T01:19:53.6392908Z 2022-11-23T01:19:53.6392991Z Generating XML reports... 2022-11-23T01:19:53.6393399Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123011945.xml 2022-11-23T01:19:53.6393780Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123011945.xml 2022-11-23T01:19:53.6394165Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123011945.xml 2022-11-23T01:19:53.6394546Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123011945.xml 2022-11-23T01:19:53.6394928Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123011945.xml 2022-11-23T01:19:53.6394933Z 2022-11-23T01:19:53.6395294Z ##[endgroup] 2022-11-23T01:19:53.6395617Z FINISHED PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_mw5153jn) 2022-11-23T01:19:53.6395625Z 2022-11-23T01:19:55.5823156Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:19:55.6412761Z Ignoring disabled issues: [] 2022-11-23T01:19:55.6558820Z Running dynamo/test_nops ... [2022-11-23 01:19:55.655596] 2022-11-23T01:19:55.6561405Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_nops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:55.655876] 2022-11-23T01:19:57.9223853Z 2022-11-23T01:19:57.9224362Z Expand the folded group to see the log file of dynamo/test_nops 2022-11-23T01:19:57.9225397Z ##[group]PRINTING LOG FILE of dynamo/test_nops (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_nops_bwgjyt9x) 2022-11-23T01:19:57.9225736Z 2022-11-23T01:19:57.9225839Z Running tests... 2022-11-23T01:19:57.9226378Z ---------------------------------------------------------------------- 2022-11-23T01:19:57.9226941Z Test results will be stored in test-reports/python-unittest/dynamo.test_nops 2022-11-23T01:19:57.9227316Z test1 (__main__.NopTests) ... ok (0.251s) 2022-11-23T01:19:57.9227906Z test2 (__main__.NopTests) ... ok (0.002s) 2022-11-23T01:19:57.9228212Z test3 (__main__.NopTests) ... ok (0.002s) 2022-11-23T01:19:57.9228522Z test_extended_args (__main__.NopTests) ... ok (0.033s) 2022-11-23T01:19:57.9228718Z 2022-11-23T01:19:57.9229016Z ---------------------------------------------------------------------- 2022-11-23T01:19:57.9229354Z Ran 4 tests in 0.289s 2022-11-23T01:19:57.9229510Z 2022-11-23T01:19:57.9229575Z OK 2022-11-23T01:19:57.9229701Z 2022-11-23T01:19:57.9229826Z Generating XML reports... 2022-11-23T01:19:57.9230413Z Generated XML report: test-reports/python-unittest/dynamo.test_nops/TEST-NopTests-20221123011957.xml 2022-11-23T01:19:57.9230735Z 2022-11-23T01:19:57.9231079Z ##[endgroup] 2022-11-23T01:19:57.9231646Z FINISHED PRINTING LOG FILE of dynamo/test_nops (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_nops_bwgjyt9x) 2022-11-23T01:19:57.9232145Z 2022-11-23T01:19:58.2209439Z 2022-11-23T01:19:58.2209972Z Expand the folded group to see the log file of dynamo/test_minifier 2022-11-23T01:19:58.2210945Z ##[group]PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_ojxtercl) 2022-11-23T01:19:58.2211324Z 2022-11-23T01:19:58.2211431Z Running tests... 2022-11-23T01:19:58.2211977Z ---------------------------------------------------------------------- 2022-11-23T01:19:58.2212577Z Test results will be stored in test-reports/python-unittest/dynamo.test_minifier 2022-11-23T01:19:58.2213090Z test_after_dynamo_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (1.916s) 2022-11-23T01:19:58.2213649Z test_after_dynamo_cpu_accuracy_error (__main__.MinifierTests) ... repro dir: /tmp/tmp_zo367yz/run_2022_11_23_01_19_31_668934/minifier/ 2022-11-23T01:19:58.2214031Z ok (5.344s) 2022-11-23T01:19:58.2214413Z test_after_dynamo_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (1.664s) 2022-11-23T01:19:58.2214982Z test_after_dynamo_cpu_compile_error (__main__.MinifierTests) ... repro dir: /tmp/tmp_zo367yz/run_2022_11_23_01_19_38_557545/minifier/ 2022-11-23T01:19:58.2215371Z ok (5.056s) 2022-11-23T01:19:58.2215728Z test_after_dynamo_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (1.672s) 2022-11-23T01:19:58.2216268Z test_after_dynamo_cpu_runtime_error (__main__.MinifierTests) ... repro dir: /tmp/tmp_zo367yz/run_2022_11_23_01_19_45_313451/minifier/ 2022-11-23T01:19:58.2216651Z ok (5.183s) 2022-11-23T01:19:58.2217045Z test_after_dynamo_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:19:58.2217567Z test_after_dynamo_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:19:58.2218098Z test_after_dynamo_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:19:58.2218632Z test_after_dynamo_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:19:58.2219152Z test_after_dynamo_cuda_runtime_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:19:58.2219668Z test_after_dynamo_cuda_runtime_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:19:58.2220198Z test_after_dynamo_custom_backend (__main__.MinifierTests) ... repro dir: /tmp/tmp_zo367yz/run_2022_11_23_01_19_50_616835/minifier/ 2022-11-23T01:19:58.2220575Z ok (3.446s) 2022-11-23T01:19:58.2220959Z test_cpu_cuda_module_after_dynamo (__main__.MinifierTests) ... skip: requires cuda (0.001s) 2022-11-23T01:19:58.2221483Z test_if_graph_minified (__main__.MinifierTests) ... repro dir: /tmp/tmp_zo367yz/run_2022_11_23_01_19_53_997923/minifier/ 2022-11-23T01:19:58.2221857Z ok (5.216s) 2022-11-23T01:19:58.2221997Z 2022-11-23T01:19:58.2222331Z ---------------------------------------------------------------------- 2022-11-23T01:19:58.2222697Z Ran 15 tests in 29.503s 2022-11-23T01:19:58.2222866Z 2022-11-23T01:19:58.2222973Z OK (skipped=7) 2022-11-23T01:19:58.2223131Z 2022-11-23T01:19:58.2223507Z Generating XML reports... 2022-11-23T01:19:58.2224168Z Generated XML report: test-reports/python-unittest/dynamo.test_minifier/TEST-MinifierTests-20221123011928.xml 2022-11-23T01:19:58.2224513Z 2022-11-23T01:19:58.2224895Z ##[endgroup] 2022-11-23T01:19:58.2225488Z FINISHED PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_ojxtercl) 2022-11-23T01:19:58.2225831Z 2022-11-23T01:19:59.9631767Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:00.0241013Z Ignoring disabled issues: [] 2022-11-23T01:20:00.0386406Z Running dynamo/test_optimizations ... [2022-11-23 01:20:00.038296] 2022-11-23T01:20:00.0387631Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_optimizations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:00.038556] 2022-11-23T01:20:00.2176879Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:00.2770133Z Ignoring disabled issues: [] 2022-11-23T01:20:00.2914122Z Running dynamo/test_optimizers ... [2022-11-23 01:20:00.291118] 2022-11-23T01:20:00.2916752Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_optimizers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:00.291401] 2022-11-23T01:20:02.4677870Z 2022-11-23T01:20:02.4678349Z Expand the folded group to see the log file of dynamo/test_optimizations 2022-11-23T01:20:02.4682621Z ##[group]PRINTING LOG FILE of dynamo/test_optimizations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizations_f0r6jked) 2022-11-23T01:20:02.4682874Z 2022-11-23T01:20:02.4682949Z Running tests... 2022-11-23T01:20:02.4683363Z ---------------------------------------------------------------------- 2022-11-23T01:20:02.4683759Z Test results will be stored in test-reports/python-unittest/dynamo.test_optimizations 2022-11-23T01:20:02.4684106Z test_inplace_normalize (__main__.NormalizeIRTests) ... ok (0.270s) 2022-11-23T01:20:02.4684392Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:02.4684712Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:02.4685187Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:02.4685603Z test_example_inputs (__main__.TestOptimizations) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:02.4685885Z ok (0.092s) 2022-11-23T01:20:02.4686095Z test_has_mutation (__main__.TestOptimizations) ... ok (0.017s) 2022-11-23T01:20:02.4686475Z test_has_mutation_factory (__main__.TestOptimizations) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:02.4686845Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:02.4687056Z ok (0.007s) 2022-11-23T01:20:02.4687381Z test_inplacifier (__main__.TestOptimizations) ... optimizations [('out', 1), ('inplace', 1)] 2022-11-23T01:20:02.4687638Z ok (0.015s) 2022-11-23T01:20:02.4687874Z test_ipex_bf16 (__main__.TestOptimizations) ... skip: requires ipex (0.001s) 2022-11-23T01:20:02.4688166Z test_ipex_fp32 (__main__.TestOptimizations) ... skip: requires ipex (0.001s) 2022-11-23T01:20:02.4688538Z test_log_conv_args (__main__.TestOptimizations) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:02.4688901Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:02.4689109Z ok (0.047s) 2022-11-23T01:20:02.4689210Z 2022-11-23T01:20:02.4689407Z ---------------------------------------------------------------------- 2022-11-23T01:20:02.4689643Z Ran 8 tests in 0.450s 2022-11-23T01:20:02.4689755Z 2022-11-23T01:20:02.4689813Z OK (skipped=2) 2022-11-23T01:20:02.4689922Z 2022-11-23T01:20:02.4690006Z Generating XML reports... 2022-11-23T01:20:02.4690434Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizations/TEST-NormalizeIRTests-20221123012001.xml 2022-11-23T01:20:02.4690986Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizations/TEST-TestOptimizations-20221123012001.xml 2022-11-23T01:20:02.4691226Z 2022-11-23T01:20:02.4691667Z ##[endgroup] 2022-11-23T01:20:02.4692098Z FINISHED PRINTING LOG FILE of dynamo/test_optimizations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizations_f0r6jked) 2022-11-23T01:20:02.4692341Z 2022-11-23T01:20:03.6297437Z 2022-11-23T01:20:03.6298093Z Expand the folded group to see the log file of dynamo/test_optimizers 2022-11-23T01:20:03.6299008Z ##[group]PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_e_1nsi1x) 2022-11-23T01:20:03.6299342Z 2022-11-23T01:20:03.6299446Z Running tests... 2022-11-23T01:20:03.6299912Z ---------------------------------------------------------------------- 2022-11-23T01:20:03.6300314Z Test results will be stored in test-reports/python-unittest/dynamo.test_optimizers 2022-11-23T01:20:03.6300869Z test_optimizing_over_tensor_with_requires_grad (__main__.End2EndTests) ... ok (0.450s) 2022-11-23T01:20:03.6301164Z frames [('total', 10), ('ok', 9)] 2022-11-23T01:20:03.6301631Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 3), ('Tensor.item', 2), ('inline with __closure__', 1)] 2022-11-23T01:20:03.6302036Z unimplemented [('generator', 1), ('Tensor.item', 1)] 2022-11-23T01:20:03.6302527Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2), ('Tensor.backward', 1), ('inline with __closure__', 1)] 2022-11-23T01:20:03.6302957Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:03.6303321Z test_adadelta (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6303553Z inline_call [] 2022-11-23T01:20:03.6303839Z stats [('calls_captured', 54), ('fusions_possible', 53), ('unique_graphs', 1)] 2022-11-23T01:20:03.6304070Z ok (0.081s) 2022-11-23T01:20:03.6304366Z test_adagrad (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6304582Z inline_call [] 2022-11-23T01:20:03.6304883Z stats [('calls_captured', 46), ('fusions_possible', 45), ('unique_graphs', 1)] 2022-11-23T01:20:03.6305110Z ok (0.069s) 2022-11-23T01:20:03.6305381Z test_adam (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:03.6305801Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2)] 2022-11-23T01:20:03.6306083Z unimplemented [] 2022-11-23T01:20:03.6306451Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:20:03.6306838Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)] 2022-11-23T01:20:03.6307066Z ok (0.119s) 2022-11-23T01:20:03.6307357Z test_adamax (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6307573Z inline_call [] 2022-11-23T01:20:03.6307872Z stats [('calls_captured', 78), ('fusions_possible', 77), ('unique_graphs', 1)] 2022-11-23T01:20:03.6308097Z ok (0.098s) 2022-11-23T01:20:03.6308372Z test_adamw (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:03.6308794Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2)] 2022-11-23T01:20:03.6309074Z unimplemented [] 2022-11-23T01:20:03.6309446Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:20:03.6309827Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)] 2022-11-23T01:20:03.6310053Z ok (0.113s) 2022-11-23T01:20:03.6310338Z test_nadam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6310551Z inline_call [] 2022-11-23T01:20:03.6310851Z stats [('calls_captured', 162), ('fusions_possible', 161), ('unique_graphs', 1)] 2022-11-23T01:20:03.6311081Z ok (0.135s) 2022-11-23T01:20:03.6311353Z test_radam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6311576Z inline_call [] 2022-11-23T01:20:03.6311949Z stats [('calls_captured', 86), ('fusions_possible', 85), ('unique_graphs', 1)] 2022-11-23T01:20:03.6312178Z ok (0.094s) 2022-11-23T01:20:03.6312456Z test_rmsprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6312683Z inline_call [] 2022-11-23T01:20:03.6312976Z stats [('calls_captured', 26), ('fusions_possible', 25), ('unique_graphs', 1)] 2022-11-23T01:20:03.6313193Z ok (0.064s) 2022-11-23T01:20:03.6313479Z test_rprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6313703Z inline_call [] 2022-11-23T01:20:03.6313986Z stats [('calls_captured', 82), ('fusions_possible', 81), ('unique_graphs', 1)] 2022-11-23T01:20:03.6314209Z ok (0.089s) 2022-11-23T01:20:03.6314490Z test_sgd (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:03.6314739Z inline_call [] 2022-11-23T01:20:03.6315043Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:03.6315270Z ok (0.042s) 2022-11-23T01:20:03.6315372Z 2022-11-23T01:20:03.6315557Z ---------------------------------------------------------------------- 2022-11-23T01:20:03.6315803Z Ran 11 tests in 1.355s 2022-11-23T01:20:03.6315916Z 2022-11-23T01:20:03.6315977Z OK 2022-11-23T01:20:03.6316069Z 2022-11-23T01:20:03.6316155Z Generating XML reports... 2022-11-23T01:20:03.6316552Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-End2EndTests-20221123012001.xml 2022-11-23T01:20:03.6317075Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-OptimizerTests-20221123012001.xml 2022-11-23T01:20:03.6317316Z 2022-11-23T01:20:03.6317584Z ##[endgroup] 2022-11-23T01:20:03.6317981Z FINISHED PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_e_1nsi1x) 2022-11-23T01:20:03.6318219Z 2022-11-23T01:20:04.4092294Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:04.4697413Z Ignoring disabled issues: [] 2022-11-23T01:20:04.4844890Z Running dynamo/test_python_autograd ... [2022-11-23 01:20:04.484140] 2022-11-23T01:20:04.4846891Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:04.484448] 2022-11-23T01:20:05.6318449Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:05.6911330Z Ignoring disabled issues: [] 2022-11-23T01:20:05.7057512Z Running dynamo/test_recompile_ux ... [2022-11-23 01:20:05.705429] 2022-11-23T01:20:05.7058783Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:05.705699] 2022-11-23T01:20:07.1347303Z 2022-11-23T01:20:07.1348584Z Expand the folded group to see the log file of dynamo/test_python_autograd 2022-11-23T01:20:07.1349491Z ##[group]PRINTING LOG FILE of dynamo/test_python_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_python_autograd_1akyb5cl) 2022-11-23T01:20:07.1349768Z 2022-11-23T01:20:07.1349829Z Running tests... 2022-11-23T01:20:07.1350243Z ---------------------------------------------------------------------- 2022-11-23T01:20:07.1350653Z Test results will be stored in test-reports/python-unittest/dynamo.test_python_autograd 2022-11-23T01:20:07.1350960Z test_backwards1 (__main__.TestPythonAutograd) ... ok (0.474s) 2022-11-23T01:20:07.1351250Z test_backwards2 (__main__.TestPythonAutograd) ... inline_call [] 2022-11-23T01:20:07.1351623Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:20:07.1351854Z inline_call [] 2022-11-23T01:20:07.1352137Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:20:07.1352360Z ok (0.096s) 2022-11-23T01:20:07.1352590Z test_forwards1 (__main__.TestPythonAutograd) ... inline_call [] 2022-11-23T01:20:07.1352933Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:07.1353158Z ok (0.029s) 2022-11-23T01:20:07.1353584Z test_forwards2 (__main__.TestPythonAutograd) ... inline_call [] 2022-11-23T01:20:07.1353928Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:07.1354154Z ok (0.029s) 2022-11-23T01:20:07.1354379Z test_split (__main__.TestPythonAutograd) ... inline_call [] 2022-11-23T01:20:07.1354731Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:20:07.1354945Z ok (0.098s) 2022-11-23T01:20:07.1355048Z 2022-11-23T01:20:07.1355249Z ---------------------------------------------------------------------- 2022-11-23T01:20:07.1355496Z Ran 5 tests in 0.726s 2022-11-23T01:20:07.1355597Z 2022-11-23T01:20:07.1355660Z OK 2022-11-23T01:20:07.1355752Z 2022-11-23T01:20:07.1355835Z Generating XML reports... 2022-11-23T01:20:07.1356349Z Generated XML report: test-reports/python-unittest/dynamo.test_python_autograd/TEST-TestPythonAutograd-20221123012005.xml 2022-11-23T01:20:07.1356605Z 2022-11-23T01:20:07.1356830Z ##[endgroup] 2022-11-23T01:20:07.1357257Z FINISHED PRINTING LOG FILE of dynamo/test_python_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_python_autograd_1akyb5cl) 2022-11-23T01:20:07.1357496Z 2022-11-23T01:20:07.5273642Z 2022-11-23T01:20:07.5274170Z Expand the folded group to see the log file of dynamo/test_recompile_ux 2022-11-23T01:20:07.5275271Z ##[group]PRINTING LOG FILE of dynamo/test_recompile_ux (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_recompile_ux_fh676y6n) 2022-11-23T01:20:07.5275698Z 2022-11-23T01:20:07.5276071Z ##[endgroup] 2022-11-23T01:20:07.5277016Z FINISHED PRINTING LOG FILE of dynamo/test_recompile_ux (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_recompile_ux_fh676y6n) 2022-11-23T01:20:07.5277432Z 2022-11-23T01:20:09.1647550Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:09.2256757Z Ignoring disabled issues: [] 2022-11-23T01:20:09.2403529Z Running dynamo/test_replay_record ... [2022-11-23 01:20:09.239992] 2022-11-23T01:20:09.2405122Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_replay_record.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:09.240284] 2022-11-23T01:20:09.5279765Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:09.5883249Z Ignoring disabled issues: [] 2022-11-23T01:20:09.6033660Z Running dynamo/test_repros ... [2022-11-23 01:20:09.603034] 2022-11-23T01:20:09.6035372Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_repros.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:09.603311] 2022-11-23T01:20:11.1085167Z 2022-11-23T01:20:11.1085872Z Expand the folded group to see the log file of dynamo/test_replay_record 2022-11-23T01:20:11.1087056Z ##[group]PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_5rmutb2y) 2022-11-23T01:20:11.1087506Z 2022-11-23T01:20:11.1087662Z Running tests... 2022-11-23T01:20:11.1088171Z ---------------------------------------------------------------------- 2022-11-23T01:20:11.1088576Z Test results will be stored in test-reports/python-unittest/dynamo.test_replay_record 2022-11-23T01:20:11.1088920Z test_fn_call_args (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1089239Z test_local_module (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1089547Z test_nonlocal_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1089873Z test_nonlocal_module_class (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1090204Z test_nonlocal_module_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1090520Z test_successful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1090850Z test_unsuccessful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.000s) 2022-11-23T01:20:11.1091031Z 2022-11-23T01:20:11.1091430Z ---------------------------------------------------------------------- 2022-11-23T01:20:11.1091676Z Ran 7 tests in 0.003s 2022-11-23T01:20:11.1091776Z 2022-11-23T01:20:11.1091850Z OK (skipped=7) 2022-11-23T01:20:11.1091958Z 2022-11-23T01:20:11.1092043Z Generating XML reports... 2022-11-23T01:20:11.1092493Z Generated XML report: test-reports/python-unittest/dynamo.test_replay_record/TEST-ReplayRecordTests-20221123012010.xml 2022-11-23T01:20:11.1092740Z 2022-11-23T01:20:11.1092965Z ##[endgroup] 2022-11-23T01:20:11.1093381Z FINISHED PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_5rmutb2y) 2022-11-23T01:20:11.1093615Z 2022-11-23T01:20:13.0840991Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:13.1435794Z Ignoring disabled issues: [] 2022-11-23T01:20:13.1580902Z Running dynamo/test_skip_non_tensor ... [2022-11-23 01:20:13.157788] 2022-11-23T01:20:13.1582684Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:13.158050] 2022-11-23T01:20:15.5993436Z 2022-11-23T01:20:15.5994018Z Expand the folded group to see the log file of dynamo/test_skip_non_tensor 2022-11-23T01:20:15.5994815Z ##[group]PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_2utj0eqb) 2022-11-23T01:20:15.5995063Z 2022-11-23T01:20:15.5995126Z Running tests... 2022-11-23T01:20:15.5995573Z ---------------------------------------------------------------------- 2022-11-23T01:20:15.5995992Z Test results will be stored in test-reports/python-unittest/dynamo.test_skip_non_tensor 2022-11-23T01:20:15.5996329Z test_add_skip (__main__.SkipNonTensorTests) ... ok (0.252s) 2022-11-23T01:20:15.5996843Z test_add_tensor1 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:15.5997118Z ok (0.091s) 2022-11-23T01:20:15.5997517Z test_add_tensor2 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:15.5997801Z ok (0.006s) 2022-11-23T01:20:15.5998190Z test_add_tensor_dict (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:15.5998519Z ok (0.006s) 2022-11-23T01:20:15.5998887Z test_add_tensor_list (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:15.5999213Z ok (0.006s) 2022-11-23T01:20:15.5999436Z test_custom_list (__main__.SkipNonTensorTests) ... ok (0.002s) 2022-11-23T01:20:15.5999718Z test_recursive_list (__main__.SkipNonTensorTests) ... ok (0.001s) 2022-11-23T01:20:15.5999921Z 2022-11-23T01:20:15.6000123Z ---------------------------------------------------------------------- 2022-11-23T01:20:15.6000363Z Ran 7 tests in 0.363s 2022-11-23T01:20:15.6000475Z 2022-11-23T01:20:15.6000648Z OK 2022-11-23T01:20:15.6000752Z 2022-11-23T01:20:15.6000825Z Generating XML reports... 2022-11-23T01:20:15.6001273Z Generated XML report: test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123012014.xml 2022-11-23T01:20:15.6001581Z 2022-11-23T01:20:15.6001817Z ##[endgroup] 2022-11-23T01:20:15.6002282Z FINISHED PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_2utj0eqb) 2022-11-23T01:20:15.6002518Z 2022-11-23T01:20:16.1751731Z 2022-11-23T01:20:16.1752231Z Expand the folded group to see the log file of dynamo/test_repros 2022-11-23T01:20:16.1754543Z ##[group]PRINTING LOG FILE of dynamo/test_repros (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_repros_cel2b3yb) 2022-11-23T01:20:16.1754827Z 2022-11-23T01:20:16.1754903Z Running tests... 2022-11-23T01:20:16.1755335Z ---------------------------------------------------------------------- 2022-11-23T01:20:16.1756008Z Test results will be stored in test-reports/python-unittest/dynamo.test_repros 2022-11-23T01:20:16.1756513Z test_Size (__main__.ReproTests) ... ok (0.354s) 2022-11-23T01:20:16.1757079Z test_abc_setattr (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1757530Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:16.1757804Z unimplemented [] 2022-11-23T01:20:16.1758226Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:16.1758777Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:16.1759207Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:16.1759549Z unimplemented [] 2022-11-23T01:20:16.1760322Z graph_break [('setattr(UserDefinedObjectVariable) .Derived.__setattr__ at 0x7fcd71bbd750>', 1)] 2022-11-23T01:20:16.1761082Z inline_call [] 2022-11-23T01:20:16.1761625Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1762013Z ok (0.011s) 2022-11-23T01:20:16.1762415Z test_batch_norm_act (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1762997Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:16.1763346Z ok (0.027s) 2022-11-23T01:20:16.1763881Z test_bigbird_unsqueeze_inplace (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1764514Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:16.1765237Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1765541Z ok (0.411s) 2022-11-23T01:20:16.1765869Z test_boxes_len (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1766481Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1766856Z ok (0.009s) 2022-11-23T01:20:16.1767204Z test_chunk_reformer_ff (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1767821Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:16.1768212Z ok (0.065s) 2022-11-23T01:20:16.1768853Z test_class_member (__main__.ReproTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:16.1769323Z ok (0.010s) 2022-11-23T01:20:16.1769899Z test_convert_boxes_to_pooler_format (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:16.1770337Z inline_call [] 2022-11-23T01:20:16.1770635Z unimplemented [] 2022-11-23T01:20:16.1771129Z graph_break [('dynamic shapes: repeat_interleave', 2)] 2022-11-23T01:20:16.1771705Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:20:16.1771926Z ok (0.073s) 2022-11-23T01:20:16.1772277Z test_create_rand_mask_from_inputs (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1772895Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:20:16.1773132Z ok (0.151s) 2022-11-23T01:20:16.1773338Z test_dict_iter (__main__.ReproTests) ... ok (0.005s) 2022-11-23T01:20:16.1773678Z test_dict_list_values (__main__.ReproTests) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:16.1773904Z unimplemented [] 2022-11-23T01:20:16.1774357Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)] 2022-11-23T01:20:16.1774673Z ok (0.017s) 2022-11-23T01:20:16.1774991Z test_do_paste_mask (__main__.ReproTests) ... frames [('total', 12), ('ok', 11)] 2022-11-23T01:20:16.1775520Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:20:16.1776170Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)] 2022-11-23T01:20:16.1776834Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)] 2022-11-23T01:20:16.1777227Z ok (0.556s) 2022-11-23T01:20:16.1778048Z test_ellipsis (__main__.ReproTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:16.1778520Z ok (0.019s) 2022-11-23T01:20:16.1779029Z test_exec_import (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:16.1779616Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1779931Z unimplemented [] 2022-11-23T01:20:16.1780520Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1780930Z ok (0.004s) 2022-11-23T01:20:16.1781493Z test_exec_wildcard_import (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:16.1782205Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1782456Z unimplemented [] 2022-11-23T01:20:16.1782846Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1783215Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:16.1783435Z ok (0.012s) 2022-11-23T01:20:16.1834742Z test_for_loop_graph_break (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1835042Z inline_call [] 2022-11-23T01:20:16.1835453Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:20:16.1835862Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1836087Z ok (0.011s) 2022-11-23T01:20:16.1836403Z test_for_loop_graph_break_before (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1836638Z unimplemented [] 2022-11-23T01:20:16.1837010Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:20:16.1837284Z inline_call [] 2022-11-23T01:20:16.1837578Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)] 2022-11-23T01:20:16.1837807Z ok (0.146s) 2022-11-23T01:20:16.1838134Z test_get_parameter_dtype (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1838491Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:16.1838716Z ok (0.010s) 2022-11-23T01:20:16.1838955Z test_grad_mode_carrying_correct_state_after_graph_break (__main__.ReproTests) ... Break 2022-11-23T01:20:16.1839248Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:16.1839439Z unimplemented [] 2022-11-23T01:20:16.1839753Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1840132Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:20:16.1840354Z ok (0.012s) 2022-11-23T01:20:16.1840755Z test_guard_fail_nested_tuple (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1841109Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:16.1841430Z ok (0.013s) 2022-11-23T01:20:16.1841922Z test_guard_fail_tensor_bool (__main__.ReproTests) ... frames [('total', 12), ('ok', 12)] 2022-11-23T01:20:16.1842574Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)] 2022-11-23T01:20:16.1843405Z graph_break [('call torch._dynamo.disable() wrapped function .fn..get_expected at 0x7fcd6f761360>', 5), ('data dependent operator: aten.allclose.default', 5)] 2022-11-23T01:20:16.1844011Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)] 2022-11-23T01:20:16.1844237Z ok (0.077s) 2022-11-23T01:20:16.1844451Z test_guard_ordering_shape_fail (__main__.ReproTests) ... ok (0.001s) 2022-11-23T01:20:16.1844728Z test_hf_model_output (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1845298Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:20:16.1845556Z ok (0.052s) 2022-11-23T01:20:16.1845769Z test_hf_t5_forward (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1846272Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:20:16.1846492Z ok (0.460s) 2022-11-23T01:20:16.1846801Z test_indexing_with_list (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:16.1847088Z inline_call [('Tensor.numpy', 1)] 2022-11-23T01:20:16.1847287Z unimplemented [] 2022-11-23T01:20:16.1847504Z graph_break [('Tensor.numpy', 1)] 2022-11-23T01:20:16.1847822Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)] 2022-11-23T01:20:16.1848069Z ok (0.018s) 2022-11-23T01:20:16.1848279Z test_is_symbolic_tracing (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1848626Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1848846Z ok (0.006s) 2022-11-23T01:20:16.1849105Z test_isinstance_dtype (__main__.ReproTests) ... ok (0.003s) 2022-11-23T01:20:16.1849821Z test_isinstance_storage (__main__.ReproTests) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:20:16.1850314Z warnings.warn(message, UserWarning) 2022-11-23T01:20:16.1850565Z frames [('total', 12), ('ok', 11)] 2022-11-23T01:20:16.1850742Z unimplemented [] 2022-11-23T01:20:16.1851217Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:20:16.1851741Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:20:16.1852008Z expected failure (0.012s) 2022-11-23T01:20:16.1852250Z test_issue1466_size_aot_autograd (__main__.ReproTests) ... arf 2022-11-23T01:20:16.1852461Z arf 2022-11-23T01:20:16.1852651Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:16.1852840Z unimplemented [] 2022-11-23T01:20:16.1853165Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1853541Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:20:16.1853814Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1853998Z ok (0.024s) 2022-11-23T01:20:16.1854204Z test_issue175 (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1854524Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:20:16.1854750Z ok (0.065s) 2022-11-23T01:20:16.1855119Z test_longformer_chunk (__main__.ReproTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:16.1855368Z ok (0.189s) 2022-11-23T01:20:16.1855663Z test_maml_item_capture (__main__.ReproTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:16.1856026Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:20:16.1856246Z unimplemented [] 2022-11-23T01:20:16.1856664Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:20:16.1857084Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)] 2022-11-23T01:20:16.1857310Z ok (0.077s) 2022-11-23T01:20:16.1857597Z test_maml_no_item_capture (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:16.1857963Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:20:16.1858198Z unimplemented [] 2022-11-23T01:20:16.1858626Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:20:16.1859064Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)] 2022-11-23T01:20:16.1859288Z ok (0.103s) 2022-11-23T01:20:16.1859680Z test_modules (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:16.1859928Z ok (0.018s) 2022-11-23T01:20:16.1860223Z test_multi_dot_import (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:16.1860664Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:20:16.1860936Z unimplemented [] 2022-11-23T01:20:16.1861328Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:20:16.1861732Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1861956Z ok (0.011s) 2022-11-23T01:20:16.1862193Z test_multi_import (__main__.ReproTests) ... skip: requires detectron2 (0.000s) 2022-11-23T01:20:16.1862643Z test_named_buffers (__main__.ReproTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:16.1862904Z ok (0.011s) 2022-11-23T01:20:16.1863191Z test_nn_parameter (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1863564Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:16.1863821Z unimplemented [] 2022-11-23T01:20:16.1864154Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:16.1864516Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:16.1864741Z ok (0.010s) 2022-11-23T01:20:16.1865087Z test_not_rewrite_assert (__main__.ReproTests) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:20:16.1865342Z ok (0.005s) 2022-11-23T01:20:16.1865652Z test_not_rewrite_assert_for_other_errors (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1866029Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:16.1866249Z ok (0.008s) 2022-11-23T01:20:16.1866521Z test_numpy_list (__main__.ReproTests) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:20:16.1866747Z unimplemented [] 2022-11-23T01:20:16.1867161Z graph_break [('call torch._dynamo.disable() wrapped function .rand_gen at 0x7fcd6f665000>', 1)] 2022-11-23T01:20:16.1867454Z expected failure (0.021s) 2022-11-23T01:20:16.1867774Z test_optimized_deepcopy (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1868127Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1868346Z ok (0.013s) 2022-11-23T01:20:16.1868615Z test_primtorch (__main__.ReproTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:16.1869043Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:20:16.1869332Z unimplemented [] 2022-11-23T01:20:16.1869700Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:20:16.1869970Z ok (0.005s) 2022-11-23T01:20:16.1870423Z test_primtorch_no_graph_break (__main__.ReproTests) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:20:16.1870757Z expected failure (0.003s) 2022-11-23T01:20:16.1871053Z test_recursive_map (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1871276Z inline_call [] 2022-11-23T01:20:16.1871567Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:16.1871777Z ok (0.013s) 2022-11-23T01:20:16.1871991Z test_reformer_eval (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1872327Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:20:16.1872541Z ok (0.034s) 2022-11-23T01:20:16.1872764Z test_reformer_min_chunk_len (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1873149Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:16.1873364Z ok (0.011s) 2022-11-23T01:20:16.1873580Z test_reformer_sorting (__main__.ReproTests) ... inline_call [] 2022-11-23T01:20:16.1873926Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)] 2022-11-23T01:20:16.1874217Z ok (0.024s) 2022-11-23T01:20:16.1874494Z test_reformer_train (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:16.1890643Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:20:16.1890962Z unimplemented [] 2022-11-23T01:20:16.1891433Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:20:16.1892038Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:20:16.1892273Z ok (0.052s) 2022-11-23T01:20:16.1892631Z test_reinplacing (__main__.ReproTests) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:16.1892933Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1893340Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:16.1893631Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1893804Z ok (0.819s) 2022-11-23T01:20:16.1894225Z test_relative_import (__main__.ReproTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:16.1894495Z ok (0.012s) 2022-11-23T01:20:16.1894871Z test_relative_import_no_modulename (__main__.ReproTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:16.1895150Z ok (0.006s) 2022-11-23T01:20:16.1895529Z test_rewrite_assert_noop (__main__.ReproTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:20:16.1895803Z ok (0.022s) 2022-11-23T01:20:16.1896157Z test_rewrite_assert_with_fstring_msg (__main__.ReproTests) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:20:16.1896427Z ok (0.006s) 2022-11-23T01:20:16.1896810Z test_rewrite_assert_with_msg (__main__.ReproTests) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)] 2022-11-23T01:20:16.1897068Z ok (0.023s) 2022-11-23T01:20:16.1897456Z test_rewrite_assert_without_msg (__main__.ReproTests) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)] 2022-11-23T01:20:16.1897731Z ok (0.016s) 2022-11-23T01:20:16.1898010Z test_rng_state (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1898341Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:20:16.1898564Z ok (0.012s) 2022-11-23T01:20:16.1898931Z test_seq_append_list (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:16.1899175Z ok (0.024s) 2022-11-23T01:20:16.1899862Z test_sigmoid_out (__main__.ReproTests) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:16.1900548Z torch.sigmoid(inp, out=out1) 2022-11-23T01:20:16.1901514Z /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). 2022-11-23T01:20:16.1902109Z warnings.warn(msg) 2022-11-23T01:20:16.1902781Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:16.1903404Z torch.sigmoid(inp, out=out1) 2022-11-23T01:20:16.1903645Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:16.1903983Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:20:16.1904214Z ok (0.030s) 2022-11-23T01:20:16.1904585Z test_slice_into_list_mutable (__main__.ReproTests) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)] 2022-11-23T01:20:16.1904860Z ok (0.038s) 2022-11-23T01:20:16.1905170Z test_slicing_dynamic_shape (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1905490Z unimplemented [('Dynamic slicing not supported', 2)] 2022-11-23T01:20:16.1905832Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:16.1906058Z ok (0.011s) 2022-11-23T01:20:16.1906369Z test_slicing_dynamic_shape_setitem (__main__.ReproTests) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:20:16.1906710Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:20:16.1907014Z graph_break [('Dynamic slicing not supported', 1)] 2022-11-23T01:20:16.1907344Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1907553Z ok (0.009s) 2022-11-23T01:20:16.1908231Z test_sort_out (__main__.ReproTests) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:16.1908914Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:20:16.1909933Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:16.1910581Z return node.target(*args, **kwargs) 2022-11-23T01:20:16.1911245Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:16.1911901Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:20:16.1912616Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:16.1913268Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:20:16.1913522Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:16.1913819Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:20:16.1914052Z ok (0.039s) 2022-11-23T01:20:16.1914357Z test_specialized_stride (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1914718Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1914932Z ok (0.005s) 2022-11-23T01:20:16.1915242Z test_tensor_isinstance_tuple (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:16.1915664Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1915876Z ok (0.005s) 2022-11-23T01:20:16.1916172Z test_tokenization (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:16.1916571Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:20:16.1916816Z unimplemented [] 2022-11-23T01:20:16.1917162Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:20:16.1917414Z ok (0.009s) 2022-11-23T01:20:16.1917778Z test_torch_ops_aten (__main__.ReproTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1918029Z ok (0.011s) 2022-11-23T01:20:16.1918411Z test_vdd_duplicate_error (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:16.1918683Z ok (0.014s) 2022-11-23T01:20:16.1918978Z test_while_loop_graph_break (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:16.1919220Z inline_call [] 2022-11-23T01:20:16.1919588Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:20:16.1919975Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:16.1920202Z ok (0.008s) 2022-11-23T01:20:16.1920429Z test_with_on_graph_break_inst (__main__.ReproTests) ... Hello world 2022-11-23T01:20:16.1920735Z Hello world 2022-11-23T01:20:16.1920937Z frames [('total', 6), ('ok', 6)] 2022-11-23T01:20:16.1921275Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:16.1921531Z unimplemented [] 2022-11-23T01:20:16.1921885Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)] 2022-11-23T01:20:16.1922290Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)] 2022-11-23T01:20:16.1922514Z ok (0.029s) 2022-11-23T01:20:16.1922615Z 2022-11-23T01:20:16.1922804Z ---------------------------------------------------------------------- 2022-11-23T01:20:16.1923049Z Ran 70 tests in 4.395s 2022-11-23T01:20:16.1923162Z 2022-11-23T01:20:16.1923257Z OK (skipped=1, expected failures=3) 2022-11-23T01:20:16.1923386Z 2022-11-23T01:20:16.1923470Z Generating XML reports... 2022-11-23T01:20:16.1923856Z Generated XML report: test-reports/python-unittest/dynamo.test_repros/TEST-ReproTests-20221123012011.xml 2022-11-23T01:20:16.1924083Z 2022-11-23T01:20:16.1924408Z ##[endgroup] 2022-11-23T01:20:16.1924938Z FINISHED PRINTING LOG FILE of dynamo/test_repros (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_repros_cel2b3yb) 2022-11-23T01:20:16.1925154Z 2022-11-23T01:20:17.6489318Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:17.7083354Z Ignoring disabled issues: [] 2022-11-23T01:20:17.7228837Z Running dynamo/test_subgraphs ... [2022-11-23 01:20:17.722595] 2022-11-23T01:20:17.7231417Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:17.722864] 2022-11-23T01:20:18.1497745Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:18.2115851Z Ignoring disabled issues: [] 2022-11-23T01:20:18.2405262Z Running dynamo/test_torchxla_integration ... [2022-11-23 01:20:18.239843] 2022-11-23T01:20:18.2406300Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_torchxla_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:18.240206] 2022-11-23T01:20:19.8418443Z 2022-11-23T01:20:19.8419003Z Expand the folded group to see the log file of dynamo/test_torchxla_integration 2022-11-23T01:20:19.8420170Z ##[group]PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_dzi55_4m) 2022-11-23T01:20:19.8420662Z 2022-11-23T01:20:19.8420887Z ##[endgroup] 2022-11-23T01:20:19.8421438Z FINISHED PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_dzi55_4m) 2022-11-23T01:20:19.8421686Z 2022-11-23T01:20:21.5207575Z 2022-11-23T01:20:21.5208162Z Expand the folded group to see the log file of dynamo/test_subgraphs 2022-11-23T01:20:21.5209214Z ##[group]PRINTING LOG FILE of dynamo/test_subgraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_subgraphs_0mh7igrb) 2022-11-23T01:20:21.5209657Z 2022-11-23T01:20:21.5209780Z Running tests... 2022-11-23T01:20:21.5210399Z ---------------------------------------------------------------------- 2022-11-23T01:20:21.5211069Z Test results will be stored in test-reports/python-unittest/dynamo.test_subgraphs 2022-11-23T01:20:21.5211612Z test_capi_call1 (__main__.SubGraphTests) ... ok (0.339s) 2022-11-23T01:20:21.5212220Z test_capi_call2 (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:21.5212625Z unimplemented [] 2022-11-23T01:20:21.5213307Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5214009Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:21.5214493Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5214715Z unimplemented [] 2022-11-23T01:20:21.5215391Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5216102Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:21.5216506Z ok (0.013s) 2022-11-23T01:20:21.5217004Z test_capi_call3 (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:21.5217383Z unimplemented [] 2022-11-23T01:20:21.5218091Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5218752Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:21.5219125Z ok (0.007s) 2022-11-23T01:20:21.5219672Z test_control_flow1 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5220300Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:21.5220691Z ok (0.012s) 2022-11-23T01:20:21.5221231Z test_control_flow2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5221632Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:21.5221854Z ok (0.007s) 2022-11-23T01:20:21.5222207Z test_control_flow3 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5222564Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:20:21.5222817Z ok (0.018s) 2022-11-23T01:20:21.5223125Z test_control_flow4 (__main__.SubGraphTests) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:21.5223471Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)] 2022-11-23T01:20:21.5223733Z ok (0.016s) 2022-11-23T01:20:21.5224225Z test_control_flow5 (__main__.SubGraphTests) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:21.5224638Z stats [('calls_captured', 13), ('fusions_possible', 7), ('unique_graphs', 6)] 2022-11-23T01:20:21.5224849Z ok (0.043s) 2022-11-23T01:20:21.5225197Z test_dynamic_kwarg (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5225556Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:21.5225775Z ok (0.010s) 2022-11-23T01:20:21.5226113Z test_dynamic_shapes (__main__.SubGraphTests) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:20:21.5226479Z stats [('calls_captured', 22), ('fusions_possible', 11), ('unique_graphs', 11)] 2022-11-23T01:20:21.5226746Z ok (0.047s) 2022-11-23T01:20:21.5227067Z test_enumerate_not_break_graph (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:21.5227559Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:21.5227785Z ok (0.008s) 2022-11-23T01:20:21.5228102Z test_extended_args (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5228486Z stats [('calls_captured', 1026), ('fusions_possible', 1023), ('unique_graphs', 3)] 2022-11-23T01:20:21.5228712Z ok (0.857s) 2022-11-23T01:20:21.5229059Z test_graph_break_on_item (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5229301Z unimplemented [] 2022-11-23T01:20:21.5229532Z graph_break [('Tensor.item', 1)] 2022-11-23T01:20:21.5229886Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:20:21.5230109Z ok (0.014s) 2022-11-23T01:20:21.5230470Z test_indirect_unsupported1 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5230910Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5231255Z unimplemented [] 2022-11-23T01:20:21.5231642Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5232102Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:20:21.5232315Z ok (0.011s) 2022-11-23T01:20:21.5232659Z test_indirect_unsupported2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5233120Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5233444Z unimplemented [] 2022-11-23T01:20:21.5233829Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5234283Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)] 2022-11-23T01:20:21.5234513Z ok (0.016s) 2022-11-23T01:20:21.5234815Z test_indirect_unsupported3 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5235324Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5235619Z unimplemented [] 2022-11-23T01:20:21.5236030Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5236488Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:20:21.5236714Z ok (0.011s) 2022-11-23T01:20:21.5236996Z test_multigraph (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5237399Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:20:21.5237620Z ok (0.011s) 2022-11-23T01:20:21.5237958Z test_no_graph_break_on_item (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:21.5238321Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:21.5238547Z ok (0.009s) 2022-11-23T01:20:21.5238943Z test_pop_after_resume (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5239173Z unimplemented [] 2022-11-23T01:20:21.5239610Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5240023Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:20:21.5240276Z ok (0.016s) 2022-11-23T01:20:21.5240658Z test_restore_range (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5240902Z unimplemented [] 2022-11-23T01:20:21.5241341Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5241785Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:21.5242017Z ok (0.012s) 2022-11-23T01:20:21.5242380Z test_restore_range_iter (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5242664Z unimplemented [] 2022-11-23T01:20:21.5243051Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5243513Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:20:21.5243725Z ok (0.011s) 2022-11-23T01:20:21.5244059Z test_restore_state (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5244305Z unimplemented [] 2022-11-23T01:20:21.5244690Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5245328Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:21.5245555Z ok (0.012s) 2022-11-23T01:20:21.5245854Z test_resume1 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5246186Z unimplemented [] 2022-11-23T01:20:21.5246558Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5246970Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:20:21.5247188Z ok (0.012s) 2022-11-23T01:20:21.5247521Z test_resume2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5247952Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5248240Z unimplemented [] 2022-11-23T01:20:21.5248622Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5249017Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:20:21.5249244Z ok (0.017s) 2022-11-23T01:20:21.5249589Z test_resume3 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5250012Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5250305Z unimplemented [] 2022-11-23T01:20:21.5250693Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5251089Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:20:21.5251311Z ok (0.017s) 2022-11-23T01:20:21.5251597Z test_resume4 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5252024Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5252298Z unimplemented [] 2022-11-23T01:20:21.5252673Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5253090Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:20:21.5253357Z ok (0.018s) 2022-11-23T01:20:21.5253602Z test_resume5 (__main__.SubGraphTests) ... tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:20:21.5253911Z 1.5000]) 2022-11-23T01:20:21.5254118Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:20:21.5254297Z 1.5000]) 2022-11-23T01:20:21.5254491Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:20:21.5254683Z 1.5000]) 2022-11-23T01:20:21.5254869Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:20:21.5255061Z 1.5000]) 2022-11-23T01:20:21.5255282Z frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:21.5255457Z unimplemented [] 2022-11-23T01:20:21.5255770Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5256132Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:20:21.5256386Z ok (0.013s) 2022-11-23T01:20:21.5256687Z test_resume_freevars (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5256927Z unimplemented [] 2022-11-23T01:20:21.5257296Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5257711Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:20:21.5257931Z ok (0.018s) 2022-11-23T01:20:21.5258232Z test_resume_paths_join (__main__.SubGraphTests) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:21.5258583Z stats [('calls_captured', 10), ('unique_graphs', 7), ('fusions_possible', 3)] 2022-11-23T01:20:21.5258808Z ok (0.065s) 2022-11-23T01:20:21.5259122Z test_resume_tuple_iterator (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5259353Z unimplemented [] 2022-11-23T01:20:21.5259738Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5260151Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:20:21.5260427Z ok (0.025s) 2022-11-23T01:20:21.5260739Z test_resume_with_no_grad1 (__main__.SubGraphTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:21.5260978Z unimplemented [] 2022-11-23T01:20:21.5261209Z graph_break [('Tensor.tolist', 2)] 2022-11-23T01:20:21.5261518Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)] 2022-11-23T01:20:21.5261745Z ok (0.027s) 2022-11-23T01:20:21.5262050Z test_resume_with_no_grad2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5262275Z unimplemented [] 2022-11-23T01:20:21.5262505Z graph_break [('Tensor.tolist', 2)] 2022-11-23T01:20:21.5262827Z stats [('calls_captured', 13), ('fusions_possible', 10), ('unique_graphs', 3)] 2022-11-23T01:20:21.5263035Z ok (0.022s) 2022-11-23T01:20:21.5263340Z test_resume_with_no_grad3 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5263583Z unimplemented [] 2022-11-23T01:20:21.5263802Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:20:21.5264126Z stats [('calls_captured', 19), ('fusions_possible', 17), ('unique_graphs', 2)] 2022-11-23T01:20:21.5264349Z ok (0.019s) 2022-11-23T01:20:21.5264629Z test_stack_state1 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5264864Z unimplemented [] 2022-11-23T01:20:21.5265243Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5265657Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:20:21.5265866Z ok (0.013s) 2022-11-23T01:20:21.5266160Z test_stack_state2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5266593Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5266870Z unimplemented [] 2022-11-23T01:20:21.5267250Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5267700Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:20:21.5267927Z ok (0.018s) 2022-11-23T01:20:21.5268141Z test_start1 (__main__.SubGraphTests) ... tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) 2022-11-23T01:20:21.5268455Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.]) 2022-11-23T01:20:21.5268665Z tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) 2022-11-23T01:20:21.5268922Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.]) 2022-11-23T01:20:21.5269161Z frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:21.5269349Z unimplemented [] 2022-11-23T01:20:21.5269651Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5270022Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:21.5270248Z ok (0.010s) 2022-11-23T01:20:21.5270552Z test_start2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5270985Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5271275Z unimplemented [] 2022-11-23T01:20:21.5271653Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5272050Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:21.5272274Z ok (0.013s) 2022-11-23T01:20:21.5272558Z test_start3 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:21.5272770Z unimplemented [] 2022-11-23T01:20:21.5273149Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:21.5273563Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:21.5273835Z ok (0.009s) 2022-11-23T01:20:21.5274124Z test_start4 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5274475Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:20:21.5274696Z ok (0.013s) 2022-11-23T01:20:21.5274928Z test_tuple_iterator_mutate (__main__.SubGraphTests) ... skip: not working yet (0.001s) 2022-11-23T01:20:21.5275319Z test_tuple_iterator_return (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:21.5275560Z unimplemented [] 2022-11-23T01:20:21.5275926Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:21.5276335Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:20:21.5276556Z ok (0.026s) 2022-11-23T01:20:21.5276658Z 2022-11-23T01:20:21.5276858Z ---------------------------------------------------------------------- 2022-11-23T01:20:21.5277088Z Ran 41 tests in 1.859s 2022-11-23T01:20:21.5277205Z 2022-11-23T01:20:21.5277278Z OK (skipped=1) 2022-11-23T01:20:21.5277384Z 2022-11-23T01:20:21.5277467Z Generating XML reports... 2022-11-23T01:20:21.5277874Z Generated XML report: test-reports/python-unittest/dynamo.test_subgraphs/TEST-SubGraphTests-20221123012019.xml 2022-11-23T01:20:21.5278112Z 2022-11-23T01:20:21.5278439Z ##[endgroup] 2022-11-23T01:20:21.5278845Z FINISHED PRINTING LOG FILE of dynamo/test_subgraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_subgraphs_0mh7igrb) 2022-11-23T01:20:21.5279074Z 2022-11-23T01:20:21.8336926Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:21.9104802Z Ignoring disabled issues: [] 2022-11-23T01:20:21.9251766Z Running dynamo/test_unspec ... [2022-11-23 01:20:21.924873] 2022-11-23T01:20:21.9253281Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_unspec.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:21.925124] 2022-11-23T01:20:23.4757268Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:23.5354181Z Ignoring disabled issues: [] 2022-11-23T01:20:23.5502785Z Running dynamo/test_verify_correctness ... [2022-11-23 01:20:23.549958] 2022-11-23T01:20:23.5504694Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:23.550229] 2022-11-23T01:20:25.9243828Z 2022-11-23T01:20:25.9244353Z Expand the folded group to see the log file of dynamo/test_verify_correctness 2022-11-23T01:20:25.9245963Z ##[group]PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_y50e9a5y) 2022-11-23T01:20:25.9246636Z 2022-11-23T01:20:25.9246805Z Running tests... 2022-11-23T01:20:25.9247579Z ---------------------------------------------------------------------- 2022-11-23T01:20:25.9248546Z Test results will be stored in test-reports/python-unittest/dynamo.test_verify_correctness 2022-11-23T01:20:25.9249631Z test_example_inputs (__main__.TestVerifyCorrectness) ... ok (0.341s) 2022-11-23T01:20:25.9250329Z test_incorrect_verify_false (__main__.TestVerifyCorrectness) 2022-11-23T01:20:25.9251391Z The bad optimization return a graph that ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:25.9252155Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:25.9252883Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:20:25.9253410Z ok (0.017s) 2022-11-23T01:20:25.9253927Z test_incorrect_verify_true (__main__.TestVerifyCorrectness) 2022-11-23T01:20:25.9254975Z If a bad optimization return a graph that ... [2022-11-23 01:20:25,419] torch._dynamo.eval_frame: [ERROR] error in verify_correctness 2022-11-23T01:20:25.9255664Z Traceback (most recent call last): 2022-11-23T01:20:25.9256530Z File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 354, in __call__ 2022-11-23T01:20:25.9257302Z raise RuntimeError(f"incorrect results of backend {self}") 2022-11-23T01:20:25.9258119Z RuntimeError: incorrect results of backend 2022-11-23T01:20:25.9258889Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:20:25.9259612Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:25.9260134Z ok (0.016s) 2022-11-23T01:20:25.9260689Z test_ipex_fp32 (__main__.TestVerifyCorrectness) ... skip: requires ipex (0.001s) 2022-11-23T01:20:25.9261580Z test_nnc (__main__.TestVerifyCorrectness) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:25.9262418Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:25.9262929Z ok (0.090s) 2022-11-23T01:20:25.9263159Z 2022-11-23T01:20:25.9263623Z ---------------------------------------------------------------------- 2022-11-23T01:20:25.9264189Z Ran 5 tests in 0.464s 2022-11-23T01:20:25.9264451Z 2022-11-23T01:20:25.9264606Z OK (skipped=1) 2022-11-23T01:20:25.9264855Z 2022-11-23T01:20:25.9265058Z Generating XML reports... 2022-11-23T01:20:25.9266206Z Generated XML report: test-reports/python-unittest/dynamo.test_verify_correctness/TEST-TestVerifyCorrectness-20221123012025.xml 2022-11-23T01:20:25.9266855Z 2022-11-23T01:20:25.9267396Z ##[endgroup] 2022-11-23T01:20:25.9268461Z FINISHED PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_y50e9a5y) 2022-11-23T01:20:25.9269079Z 2022-11-23T01:20:27.9498630Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:28.0272693Z Ignoring disabled issues: [] 2022-11-23T01:20:28.0420515Z Running inductor/test_minifier ... [2022-11-23 01:20:28.041793] 2022-11-23T01:20:28.0422925Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:28.042047] 2022-11-23T01:20:29.7517004Z 2022-11-23T01:20:29.7517906Z Expand the folded group to see the log file of dynamo/test_unspec 2022-11-23T01:20:29.7519732Z ##[group]PRINTING LOG FILE of dynamo/test_unspec (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_unspec_rqtk8m6d) 2022-11-23T01:20:29.7520303Z 2022-11-23T01:20:29.7520428Z Running tests... 2022-11-23T01:20:29.7521237Z ---------------------------------------------------------------------- 2022-11-23T01:20:29.7521984Z Test results will be stored in test-reports/python-unittest/dynamo.test_unspec 2022-11-23T01:20:29.7522804Z test_basicmodule1_unspec (__main__.make_unspec_cls..UnspecTest) ... ok (0.363s) 2022-11-23T01:20:29.7524009Z test_basicmodule2_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7525283Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7525813Z ok (0.015s) 2022-11-23T01:20:29.7526467Z test_call_fn_with_non_const_inputs_safe_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7527605Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7528157Z ok (0.014s) 2022-11-23T01:20:29.7529148Z test_cfgmod_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:29.7529824Z ok (0.026s) 2022-11-23T01:20:29.7530793Z test_children_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7531488Z ok (0.019s) 2022-11-23T01:20:29.7532461Z test_constloop_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:29.7533152Z ok (0.026s) 2022-11-23T01:20:29.7533742Z test_densenet_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7534642Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:20:29.7535161Z ok (0.018s) 2022-11-23T01:20:29.7535750Z test_enumvalues_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7536610Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:20:29.7537120Z ok (0.017s) 2022-11-23T01:20:29.7538121Z test_fnmember_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7538809Z ok (0.013s) 2022-11-23T01:20:29.7539796Z test_fnmembercmp1_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7540478Z ok (0.013s) 2022-11-23T01:20:29.7541475Z test_fnmembercmp2_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7542178Z ok (0.013s) 2022-11-23T01:20:29.7542784Z test_forward_directly_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7543712Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7544250Z ok (0.020s) 2022-11-23T01:20:29.7544849Z test_generation_tag_unspec (__main__.make_unspec_cls..UnspecTest) ... ok (0.003s) 2022-11-23T01:20:29.7546051Z test_hasattr_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7546756Z ok (0.010s) 2022-11-23T01:20:29.7547671Z test_intarg_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7548329Z ok (0.013s) 2022-11-23T01:20:29.7549339Z test_iseval1_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7550048Z ok (0.014s) 2022-11-23T01:20:29.7551188Z test_iseval2_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7551862Z ok (0.022s) 2022-11-23T01:20:29.7552885Z test_isnonelayer_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7553600Z ok (0.020s) 2022-11-23T01:20:29.7554582Z test_istraining1_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7555286Z ok (0.022s) 2022-11-23T01:20:29.7556310Z test_istraining2_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7557030Z ok (0.022s) 2022-11-23T01:20:29.7558021Z test_layerlist_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7558822Z ok (0.018s) 2022-11-23T01:20:29.7560318Z test_lazy_module_unspec (__main__.make_unspec_cls..UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:20:29.7561811Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:20:29.7563497Z [2022-11-23 01:20:24,158] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:20:29.7565513Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:20:29.7566776Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:20:29.7568205Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:20:29.7569419Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:20:29.7571087Z [2022-11-23 01:20:24,184] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:20:29.7572971Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:20:29.7574171Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:20:29.7574877Z frames [('total', 16), ('ok', 14)] 2022-11-23T01:20:29.7576781Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)] 2022-11-23T01:20:29.7578458Z unimplemented [("Guard setup for uninitialized class ", 2)] 2022-11-23T01:20:29.7579440Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)] 2022-11-23T01:20:29.7580509Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7581033Z ok (0.066s) 2022-11-23T01:20:29.7581683Z test_module_attribute_precedence_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7582654Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7583171Z ok (0.012s) 2022-11-23T01:20:29.7583965Z test_module_class_method_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7584888Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:20:29.7585428Z ok (0.029s) 2022-11-23T01:20:29.7586444Z test_module_name_string_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7587170Z ok (0.015s) 2022-11-23T01:20:29.7587775Z test_module_property_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7588664Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7589205Z ok (0.008s) 2022-11-23T01:20:29.7589846Z test_module_static_method_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7590860Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:20:29.7591397Z ok (0.029s) 2022-11-23T01:20:29.7592405Z test_moduledict_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7593113Z ok (0.011s) 2022-11-23T01:20:29.7594117Z test_modulelist_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)] 2022-11-23T01:20:29.7594825Z ok (0.105s) 2022-11-23T01:20:29.7595436Z test_modulemethod1_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7596328Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:20:29.7596853Z ok (0.029s) 2022-11-23T01:20:29.7597454Z test_modulemethod2_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7598328Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:20:29.7598846Z ok (0.029s) 2022-11-23T01:20:29.7599899Z test_nn_moduledict_contains_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:20:29.7600904Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:20:29.7601524Z inline_call [('Patched init cannot be inlined.', 1)] 2022-11-23T01:20:29.7602629Z unimplemented [("Guard setup for uninitialized class .M'>", 1)] 2022-11-23T01:20:29.7603541Z graph_break [('Patched init cannot be inlined.', 1)] 2022-11-23T01:20:29.7603989Z ok (0.020s) 2022-11-23T01:20:29.7604549Z test_parameters1_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7605573Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7606082Z ok (0.010s) 2022-11-23T01:20:29.7606695Z test_parameters2_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7607631Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7608160Z ok (0.010s) 2022-11-23T01:20:29.7609165Z test_parameters3_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:29.7609884Z ok (0.019s) 2022-11-23T01:20:29.7610889Z test_self_mutating1_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:20:29.7611607Z ok (0.040s) 2022-11-23T01:20:29.7612572Z test_seq_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7613222Z ok (0.019s) 2022-11-23T01:20:29.7613950Z test_simple_torch_function_unspec (__main__.make_unspec_cls..UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:20:29.7614789Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:20:29.7615529Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:20:29.7616096Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:20:29.7616456Z inline_call [] 2022-11-23T01:20:29.7616884Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7617191Z ok (0.015s) 2022-11-23T01:20:29.7617808Z test_stringmember_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7618203Z ok (0.012s) 2022-11-23T01:20:29.7618547Z test_submodules1_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7619205Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:20:29.7619535Z ok (0.026s) 2022-11-23T01:20:29.7619866Z test_submodules2_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7620392Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:20:29.7620708Z ok (0.025s) 2022-11-23T01:20:29.7621024Z test_super1_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7621546Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7621872Z ok (0.016s) 2022-11-23T01:20:29.7622212Z test_super_class_method_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7622762Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7623082Z ok (0.008s) 2022-11-23T01:20:29.7623681Z test_tensorlist_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7624074Z ok (0.012s) 2022-11-23T01:20:29.7624905Z test_torch_function_with_closure_unspec (__main__.make_unspec_cls..UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:20:29.7625592Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:20:29.7626326Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:20:29.7626875Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:20:29.7627404Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7627730Z ok (0.009s) 2022-11-23T01:20:29.7628236Z test_unsupportedmethod_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7628934Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:29.7629343Z unimplemented [] 2022-11-23T01:20:29.7629873Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:29.7630460Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:20:29.7630777Z ok (0.030s) 2022-11-23T01:20:29.7631275Z test_unsupportedmodule_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7631930Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:20:29.7632331Z unimplemented [] 2022-11-23T01:20:29.7632874Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:20:29.7633431Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:20:29.7633847Z ok (0.031s) 2022-11-23T01:20:29.7634206Z test_viamodulecall_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7634743Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7635046Z ok (0.015s) 2022-11-23T01:20:29.7635509Z test_Size_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7636113Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:29.7636479Z unimplemented [] 2022-11-23T01:20:29.7636979Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:29.7637542Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7637932Z ok (0.011s) 2022-11-23T01:20:29.7638432Z test_abc_setattr_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7638805Z unimplemented [] 2022-11-23T01:20:29.7639429Z graph_break [('setattr(UserDefinedObjectVariable) .Derived.__setattr__ at 0x7f5b3fc3de10>', 1)] 2022-11-23T01:20:29.7639853Z inline_call [] 2022-11-23T01:20:29.7640258Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7640725Z ok (0.010s) 2022-11-23T01:20:29.7641233Z test_batch_norm_act_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7641765Z inline_call [('data dependent operator: aten._local_scalar_dense.default', 2)] 2022-11-23T01:20:29.7642119Z unimplemented [] 2022-11-23T01:20:29.7642568Z graph_break [('data dependent operator: aten._local_scalar_dense.default', 2)] 2022-11-23T01:20:29.7643120Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7643452Z ok (0.031s) 2022-11-23T01:20:29.7643990Z test_bigbird_unsqueeze_inplace_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7644552Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7645110Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7645381Z ok (0.409s) 2022-11-23T01:20:29.7645713Z test_boxes_len_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7646224Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7646520Z ok (0.009s) 2022-11-23T01:20:29.7646858Z test_chunk_reformer_ff_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7647397Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7647718Z ok (0.064s) 2022-11-23T01:20:29.7648311Z test_class_member_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7648698Z ok (0.010s) 2022-11-23T01:20:29.7649248Z test_convert_boxes_to_pooler_format_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:29.7649634Z inline_call [] 2022-11-23T01:20:29.7649858Z unimplemented [] 2022-11-23T01:20:29.7650249Z graph_break [('dynamic shapes: repeat_interleave', 2)] 2022-11-23T01:20:29.7650742Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:20:29.7651047Z ok (0.053s) 2022-11-23T01:20:29.7651414Z test_create_rand_mask_from_inputs_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7651945Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:20:29.7652256Z ok (0.117s) 2022-11-23T01:20:29.7652579Z test_dict_iter_unspec (__main__.make_unspec_cls..UnspecTest) ... ok (0.005s) 2022-11-23T01:20:29.7653341Z test_dict_list_values_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:29.7653739Z unimplemented [] 2022-11-23T01:20:29.7654398Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)] 2022-11-23T01:20:29.7654845Z ok (0.018s) 2022-11-23T01:20:29.7655378Z test_do_paste_mask_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 13), ('ok', 12)] 2022-11-23T01:20:29.7655901Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:20:29.7656417Z graph_break [('dynamic shapes: arange', 7), ('Dynamic slicing not supported', 4)] 2022-11-23T01:20:29.7656963Z stats [('calls_captured', 131), ('fusions_possible', 119), ('unique_graphs', 12)] 2022-11-23T01:20:29.7657286Z ok (0.540s) 2022-11-23T01:20:29.7657980Z test_ellipsis_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7658391Z ok (0.018s) 2022-11-23T01:20:29.7658902Z test_exec_import_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:29.7659483Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7659818Z unimplemented [] 2022-11-23T01:20:29.7660284Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7660610Z ok (0.004s) 2022-11-23T01:20:29.7661106Z test_exec_wildcard_import_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:29.7661693Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7662054Z unimplemented [] 2022-11-23T01:20:29.7662579Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7663129Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:29.7663445Z ok (0.013s) 2022-11-23T01:20:29.7663960Z test_for_loop_graph_break_before_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7664341Z unimplemented [] 2022-11-23T01:20:29.7664882Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:20:29.7665264Z inline_call [] 2022-11-23T01:20:29.7665723Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)] 2022-11-23T01:20:29.7666035Z ok (0.147s) 2022-11-23T01:20:29.7666542Z test_for_loop_graph_break_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7666890Z inline_call [] 2022-11-23T01:20:29.7667473Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:20:29.7668063Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7668381Z ok (0.011s) 2022-11-23T01:20:29.7668726Z test_get_parameter_dtype_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7669279Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7669597Z ok (0.010s) 2022-11-23T01:20:29.7669976Z test_grad_mode_carrying_correct_state_after_graph_break_unspec (__main__.make_unspec_cls..UnspecTest) ... Break 2022-11-23T01:20:29.7670433Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7670693Z unimplemented [] 2022-11-23T01:20:29.7671135Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7671657Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:20:29.7671971Z ok (0.012s) 2022-11-23T01:20:29.7672723Z test_guard_fail_nested_tuple_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7673364Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:29.7673705Z ok (0.012s) 2022-11-23T01:20:29.7674226Z test_guard_fail_tensor_bool_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 12), ('ok', 12)] 2022-11-23T01:20:29.7674812Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)] 2022-11-23T01:20:29.7675681Z graph_break [('call torch._dynamo.disable() wrapped function .fn..get_expected at 0x7f5b3f9d7400>', 5), ('data dependent operator: aten.allclose.default', 5)] 2022-11-23T01:20:29.7676371Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)] 2022-11-23T01:20:29.7676685Z ok (0.074s) 2022-11-23T01:20:29.7677055Z test_guard_ordering_shape_fail_unspec (__main__.make_unspec_cls..UnspecTest) ... ok (0.001s) 2022-11-23T01:20:29.7677670Z test_hf_model_output_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7678268Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:20:29.7678670Z ok (0.055s) 2022-11-23T01:20:29.7679112Z test_hf_t5_forward_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7679767Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:20:29.7680100Z ok (0.509s) 2022-11-23T01:20:29.7680698Z test_indexing_with_list_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:29.7681135Z inline_call [('Tensor.numpy', 1)] 2022-11-23T01:20:29.7681420Z unimplemented [] 2022-11-23T01:20:29.7681761Z graph_break [('Tensor.numpy', 1)] 2022-11-23T01:20:29.7682238Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)] 2022-11-23T01:20:29.7682612Z ok (0.031s) 2022-11-23T01:20:29.7683033Z test_is_symbolic_tracing_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7683640Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7683948Z ok (0.010s) 2022-11-23T01:20:29.7684295Z test_isinstance_dtype_unspec (__main__.make_unspec_cls..UnspecTest) ... ok (0.006s) 2022-11-23T01:20:29.7685631Z test_isinstance_storage_unspec (__main__.make_unspec_cls..UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:20:29.7686360Z warnings.warn(message, UserWarning) 2022-11-23T01:20:29.7686719Z frames [('total', 12), ('ok', 11)] 2022-11-23T01:20:29.7686994Z unimplemented [] 2022-11-23T01:20:29.7687706Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:20:29.7688455Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)] 2022-11-23T01:20:29.7688869Z expected failure (0.015s) 2022-11-23T01:20:29.7689268Z test_issue1466_size_aot_autograd_unspec (__main__.make_unspec_cls..UnspecTest) ... arf 2022-11-23T01:20:29.7689612Z arf 2022-11-23T01:20:29.7689888Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7690164Z unimplemented [] 2022-11-23T01:20:29.7690642Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7691167Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:20:29.7691575Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7691826Z ok (0.025s) 2022-11-23T01:20:29.7692175Z test_issue175_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7692717Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:20:29.7693039Z ok (0.064s) 2022-11-23T01:20:29.7693749Z test_longformer_chunk_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:29.7694155Z ok (0.141s) 2022-11-23T01:20:29.7694674Z test_maml_item_capture_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7695233Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:20:29.7695544Z unimplemented [] 2022-11-23T01:20:29.7696138Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:20:29.7696738Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)] 2022-11-23T01:20:29.7697138Z ok (0.168s) 2022-11-23T01:20:29.7697653Z test_maml_no_item_capture_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:20:29.7698231Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:20:29.7698563Z unimplemented [] 2022-11-23T01:20:29.7699176Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:20:29.7699790Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)] 2022-11-23T01:20:29.7700104Z ok (0.103s) 2022-11-23T01:20:29.7700664Z test_modules_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:29.7701068Z ok (0.018s) 2022-11-23T01:20:29.7701572Z test_multi_dot_import_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:29.7702262Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:20:29.7702663Z unimplemented [] 2022-11-23T01:20:29.7703234Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:20:29.7703850Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7704155Z ok (0.011s) 2022-11-23T01:20:29.7704545Z test_multi_import_unspec (__main__.make_unspec_cls..UnspecTest) ... skip: requires detectron2 (0.000s) 2022-11-23T01:20:29.7705292Z test_named_buffers_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:20:29.7705701Z ok (0.011s) 2022-11-23T01:20:29.7706187Z test_nn_parameter_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7706811Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:29.7707184Z unimplemented [] 2022-11-23T01:20:29.7707664Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)] 2022-11-23T01:20:29.7708189Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7708514Z ok (0.010s) 2022-11-23T01:20:29.7709064Z test_not_rewrite_assert_for_other_errors_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7709694Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7710017Z ok (0.008s) 2022-11-23T01:20:29.7710596Z test_not_rewrite_assert_unspec (__main__.make_unspec_cls..UnspecTest) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:20:29.7710989Z ok (0.005s) 2022-11-23T01:20:29.7711487Z test_numpy_list_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:20:29.7711860Z unimplemented [] 2022-11-23T01:20:29.7712542Z graph_break [('call torch._dynamo.disable() wrapped function .rand_gen at 0x7f5b3fcac3a0>', 1)] 2022-11-23T01:20:29.7712987Z expected failure (0.022s) 2022-11-23T01:20:29.7713522Z test_optimized_deepcopy_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7714082Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7714379Z ok (0.012s) 2022-11-23T01:20:29.7715105Z test_primtorch_no_graph_break_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:20:29.7715602Z expected failure (0.003s) 2022-11-23T01:20:29.7716087Z test_primtorch_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7716824Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:20:29.7717225Z unimplemented [] 2022-11-23T01:20:29.7717766Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:20:29.7718142Z ok (0.005s) 2022-11-23T01:20:29.7718644Z test_recursive_map_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7719015Z inline_call [] 2022-11-23T01:20:29.7719437Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7719768Z ok (0.013s) 2022-11-23T01:20:29.7720132Z test_reformer_eval_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7720767Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:20:29.7721087Z ok (0.034s) 2022-11-23T01:20:29.7721463Z test_reformer_min_chunk_len_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7722033Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7722351Z ok (0.011s) 2022-11-23T01:20:29.7722719Z test_reformer_sorting_unspec (__main__.make_unspec_cls..UnspecTest) ... inline_call [] 2022-11-23T01:20:29.7723264Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)] 2022-11-23T01:20:29.7723564Z ok (0.024s) 2022-11-23T01:20:29.7724064Z test_reformer_train_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:29.7724896Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:20:29.7725313Z unimplemented [] 2022-11-23T01:20:29.7725974Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:20:29.7726654Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:20:29.7726988Z ok (0.053s) 2022-11-23T01:20:29.7727565Z test_reinplacing_unspec (__main__.make_unspec_cls..UnspecTest) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:29.7728053Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7728498Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7728908Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7729168Z ok (0.901s) 2022-11-23T01:20:29.7729830Z test_relative_import_no_modulename_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7730257Z ok (0.009s) 2022-11-23T01:20:29.7730826Z test_relative_import_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7731232Z ok (0.007s) 2022-11-23T01:20:29.7731962Z test_rewrite_assert_noop_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:20:29.7732368Z ok (0.021s) 2022-11-23T01:20:29.7732961Z test_rewrite_assert_with_fstring_msg_unspec (__main__.make_unspec_cls..UnspecTest) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:20:29.7733378Z ok (0.005s) 2022-11-23T01:20:29.7734008Z test_rewrite_assert_with_msg_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)] 2022-11-23T01:20:29.7734453Z ok (0.024s) 2022-11-23T01:20:29.7735073Z test_rewrite_assert_without_msg_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)] 2022-11-23T01:20:29.7735510Z ok (0.016s) 2022-11-23T01:20:29.7736088Z test_rng_state_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7736626Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:20:29.7736961Z ok (0.012s) 2022-11-23T01:20:29.7737596Z test_seq_append_list_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:29.7737980Z ok (0.024s) 2022-11-23T01:20:29.7739009Z test_sigmoid_out_unspec (__main__.make_unspec_cls..UnspecTest) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:29.7740022Z torch.sigmoid(inp, out=out1) 2022-11-23T01:20:29.7741399Z /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). 2022-11-23T01:20:29.7742212Z warnings.warn(msg) 2022-11-23T01:20:29.7743165Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:29.7744041Z torch.sigmoid(inp, out=out1) 2022-11-23T01:20:29.7744396Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:29.7744833Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:20:29.7745173Z ok (0.030s) 2022-11-23T01:20:29.7745802Z test_slice_into_list_mutable_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)] 2022-11-23T01:20:29.7746227Z ok (0.038s) 2022-11-23T01:20:29.7746754Z test_slicing_dynamic_shape_setitem_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:20:29.7747268Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:20:29.7747703Z graph_break [('Dynamic slicing not supported', 1)] 2022-11-23T01:20:29.7748193Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7748497Z ok (0.009s) 2022-11-23T01:20:29.7749114Z test_slicing_dynamic_shape_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7749629Z unimplemented [('Dynamic slicing not supported', 2)] 2022-11-23T01:20:29.7750114Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:20:29.7750420Z ok (0.010s) 2022-11-23T01:20:29.7751430Z test_sort_out_unspec (__main__.make_unspec_cls..UnspecTest) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:29.7752500Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:20:29.7753930Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:29.7754824Z return node.target(*args, **kwargs) 2022-11-23T01:20:29.7755762Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:29.7756654Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:20:29.7757593Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:20:29.7758469Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:20:29.7758873Z frames [('total', 7), ('ok', 7)] 2022-11-23T01:20:29.7759319Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)] 2022-11-23T01:20:29.7759622Z ok (0.039s) 2022-11-23T01:20:29.7760141Z test_specialized_stride_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7760806Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7761111Z ok (0.005s) 2022-11-23T01:20:29.7761631Z test_tensor_isinstance_tuple_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7762181Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7762472Z ok (0.005s) 2022-11-23T01:20:29.7762964Z test_tokenization_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:29.7763565Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:20:29.7763932Z unimplemented [] 2022-11-23T01:20:29.7764419Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)] 2022-11-23T01:20:29.7765025Z ok (0.009s) 2022-11-23T01:20:29.7765526Z test_torch_ops_aten_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7765814Z ok (0.011s) 2022-11-23T01:20:29.7766245Z test_vdd_duplicate_error_unspec (__main__.make_unspec_cls..UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:20:29.7766546Z ok (0.014s) 2022-11-23T01:20:29.7766909Z test_while_loop_graph_break_unspec (__main__.make_unspec_cls..UnspecTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:20:29.7767160Z inline_call [] 2022-11-23T01:20:29.7767536Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:20:29.7767991Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7768204Z ok (0.008s) 2022-11-23T01:20:29.7768465Z test_with_on_graph_break_inst_unspec (__main__.make_unspec_cls..UnspecTest) ... Hello world 2022-11-23T01:20:29.7768715Z Hello world 2022-11-23T01:20:29.7768915Z frames [('total', 6), ('ok', 6)] 2022-11-23T01:20:29.7769251Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:20:29.7769514Z unimplemented [] 2022-11-23T01:20:29.7769880Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)] 2022-11-23T01:20:29.7770261Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)] 2022-11-23T01:20:29.7770487Z ok (0.029s) 2022-11-23T01:20:29.7770732Z test_builtin_functions_on_cuda (__main__.UnspecTests) ... skip: requires cuda (0.001s) 2022-11-23T01:20:29.7771077Z test_builtin_getitem (__main__.UnspecTests) ... frames [('total', 1)] 2022-11-23T01:20:29.7771316Z expected failure (0.006s) 2022-11-23T01:20:29.7771631Z test_builtin_max_min (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7771975Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:20:29.7772197Z ok (0.010s) 2022-11-23T01:20:29.7772525Z test_feed_random_values_into_graph_only (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7772900Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:20:29.7773111Z ok (0.009s) 2022-11-23T01:20:29.7773466Z test_multiple_consecutive_random_calls_before_graph (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7773854Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7774066Z ok (0.010s) 2022-11-23T01:20:29.7774371Z test_no_recompilations (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7774735Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7774945Z ok (0.007s) 2022-11-23T01:20:29.7775244Z test_numpy_correctness (__main__.UnspecTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:20:29.7775595Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)] 2022-11-23T01:20:29.7775901Z graph_break [('Tensor.numpy', 2), ('numpy', 2)] 2022-11-23T01:20:29.7776214Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7776436Z ok (0.027s) 2022-11-23T01:20:29.7776748Z test_random_call_with_while_loop (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7777101Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:20:29.7777319Z ok (0.008s) 2022-11-23T01:20:29.7777640Z test_random_values_with_graph_break (__main__.UnspecTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:20:29.7777876Z unimplemented [] 2022-11-23T01:20:29.7778108Z graph_break [('Tensor.item', 2)] 2022-11-23T01:20:29.7778424Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:20:29.7778668Z ok (0.022s) 2022-11-23T01:20:29.7778983Z test_unspec_float_precision (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:20:29.7779345Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:20:29.7779562Z ok (0.053s) 2022-11-23T01:20:29.7779653Z 2022-11-23T01:20:29.7779853Z ---------------------------------------------------------------------- 2022-11-23T01:20:29.7780100Z Ran 128 tests in 5.682s 2022-11-23T01:20:29.7780215Z 2022-11-23T01:20:29.7780310Z OK (skipped=2, expected failures=4) 2022-11-23T01:20:29.7780442Z 2022-11-23T01:20:29.7780514Z Generating XML reports... 2022-11-23T01:20:29.7780940Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecNNModuleTests-20221123012023.xml 2022-11-23T01:20:29.7781472Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecReproTests-20221123012023.xml 2022-11-23T01:20:29.7782019Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecTests-20221123012023.xml 2022-11-23T01:20:29.7782226Z 2022-11-23T01:20:29.7782568Z ##[endgroup] 2022-11-23T01:20:29.7782988Z FINISHED PRINTING LOG FILE of dynamo/test_unspec (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_unspec_rqtk8m6d) 2022-11-23T01:20:29.7783212Z 2022-11-23T01:20:31.7579523Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:20:31.8179357Z Ignoring disabled issues: [] 2022-11-23T01:20:31.8327215Z Running inductor/test_perf ... [2022-11-23 01:20:31.832432] 2022-11-23T01:20:31.8329641Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_perf.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:31.832732] 2022-11-23T01:21:22.6534853Z 2022-11-23T01:21:22.6535545Z Expand the folded group to see the log file of inductor/test_perf 2022-11-23T01:21:22.6538809Z ##[group]PRINTING LOG FILE of inductor/test_perf (/var/lib/jenkins/workspace/test/test-reports/inductor-test_perf_aehee74f) 2022-11-23T01:21:22.6539554Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:22.6539712Z 2022-11-23T01:21:22.6539924Z ##[endgroup] 2022-11-23T01:21:22.6540338Z FINISHED PRINTING LOG FILE of inductor/test_perf (/var/lib/jenkins/workspace/test/test-reports/inductor-test_perf_aehee74f) 2022-11-23T01:21:22.6540559Z 2022-11-23T01:21:24.6739260Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:24.7348121Z Ignoring disabled issues: [] 2022-11-23T01:21:24.7498445Z Running inductor/test_smoke ... [2022-11-23 01:21:24.749390] 2022-11-23T01:21:24.7499366Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_smoke.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:24.749661] 2022-11-23T01:21:26.3445808Z 2022-11-23T01:21:26.3446358Z Expand the folded group to see the log file of inductor/test_smoke 2022-11-23T01:21:26.3447585Z ##[group]PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_pskhsmja) 2022-11-23T01:21:26.3447946Z 2022-11-23T01:21:26.3448275Z ##[endgroup] 2022-11-23T01:21:26.3449114Z FINISHED PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_pskhsmja) 2022-11-23T01:21:26.3485644Z 2022-11-23T01:21:28.3664949Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:28.4479484Z Ignoring disabled issues: [] 2022-11-23T01:21:28.4629414Z Running inductor/test_torchinductor ... [2022-11-23 01:21:28.462495] 2022-11-23T01:21:28.4630006Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:28.462759] 2022-11-23T01:21:36.9015714Z 2022-11-23T01:21:36.9016256Z Expand the folded group to see the log file of inductor/test_minifier 2022-11-23T01:21:36.9017400Z ##[group]PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_dc6fa5wp) 2022-11-23T01:21:36.9017753Z 2022-11-23T01:21:36.9018081Z Running tests... 2022-11-23T01:21:36.9018631Z ---------------------------------------------------------------------- 2022-11-23T01:21:36.9019041Z Test results will be stored in test-reports/python-unittest/inductor.test_minifier 2022-11-23T01:21:36.9019368Z test_after_aot_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (49.080s) 2022-11-23T01:21:36.9019800Z test_after_aot_cpu_accuracy_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s) 2022-11-23T01:21:36.9020445Z test_after_aot_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (9.845s) 2022-11-23T01:21:36.9021107Z test_after_aot_cpu_compile_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s) 2022-11-23T01:21:36.9021885Z test_after_aot_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (7.999s) 2022-11-23T01:21:36.9022573Z test_after_aot_cpu_runtime_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s) 2022-11-23T01:21:36.9023222Z test_after_aot_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:21:36.9023680Z test_after_aot_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:21:36.9024263Z test_after_aot_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:21:36.9024905Z test_after_aot_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:21:36.9025498Z test_after_aot_cuda_runtime_backend_passes (__main__.MinifierTests) ... skip: (0.000s) 2022-11-23T01:21:36.9026002Z test_after_aot_cuda_runtime_error (__main__.MinifierTests) ... skip: (0.000s) 2022-11-23T01:21:36.9026178Z 2022-11-23T01:21:36.9026409Z ---------------------------------------------------------------------- 2022-11-23T01:21:36.9026656Z Ran 12 tests in 66.927s 2022-11-23T01:21:36.9026772Z 2022-11-23T01:21:36.9026849Z OK (skipped=9) 2022-11-23T01:21:36.9026944Z 2022-11-23T01:21:36.9027032Z Generating XML reports... 2022-11-23T01:21:36.9027468Z Generated XML report: test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123012029.xml 2022-11-23T01:21:36.9027703Z 2022-11-23T01:21:36.9027976Z ##[endgroup] 2022-11-23T01:21:36.9028377Z FINISHED PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_dc6fa5wp) 2022-11-23T01:21:36.9028610Z 2022-11-23T01:21:38.9290587Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:39.0113676Z Ignoring disabled issues: [] 2022-11-23T01:21:39.0264302Z Running lazy/test_bindings ... [2022-11-23 01:21:39.026003] 2022-11-23T01:21:39.0265347Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_bindings.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:39.026290] 2022-11-23T01:21:40.5258289Z 2022-11-23T01:21:40.5258824Z Expand the folded group to see the log file of lazy/test_bindings 2022-11-23T01:21:40.5259970Z ##[group]PRINTING LOG FILE of lazy/test_bindings (/var/lib/jenkins/workspace/test/test-reports/lazy-test_bindings_i63v0m9q) 2022-11-23T01:21:40.5260362Z 2022-11-23T01:21:40.5260726Z ##[endgroup] 2022-11-23T01:21:40.5261536Z FINISHED PRINTING LOG FILE of lazy/test_bindings (/var/lib/jenkins/workspace/test/test-reports/lazy-test_bindings_i63v0m9q) 2022-11-23T01:21:40.5261891Z 2022-11-23T01:21:42.4758750Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:42.5547830Z Ignoring disabled issues: [] 2022-11-23T01:21:42.5697917Z Running lazy/test_debug_util ... [2022-11-23 01:21:42.569461] 2022-11-23T01:21:42.5699682Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_debug_util.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:42.569761] 2022-11-23T01:21:44.6186893Z 2022-11-23T01:21:44.6187514Z Expand the folded group to see the log file of lazy/test_debug_util 2022-11-23T01:21:44.6188980Z ##[group]PRINTING LOG FILE of lazy/test_debug_util (/var/lib/jenkins/workspace/test/test-reports/lazy-test_debug_util__74j74oa) 2022-11-23T01:21:44.6189244Z 2022-11-23T01:21:44.6189321Z Running tests... 2022-11-23T01:21:44.6189732Z ---------------------------------------------------------------------- 2022-11-23T01:21:44.6190131Z Test results will be stored in test-reports/python-unittest/lazy.test_debug_util 2022-11-23T01:21:44.6190429Z test_get_python_frames (__main__.DebugUtilTest) ... ok (0.296s) 2022-11-23T01:21:44.6190594Z 2022-11-23T01:21:44.6190794Z ---------------------------------------------------------------------- 2022-11-23T01:21:44.6191033Z Ran 1 test in 0.296s 2022-11-23T01:21:44.6191145Z 2022-11-23T01:21:44.6191191Z OK 2022-11-23T01:21:44.6191282Z 2022-11-23T01:21:44.6191434Z Generating XML reports... 2022-11-23T01:21:44.6191858Z Generated XML report: test-reports/python-unittest/lazy.test_debug_util/TEST-DebugUtilTest-20221123012143.xml 2022-11-23T01:21:44.6192091Z 2022-11-23T01:21:44.6192300Z ##[endgroup] 2022-11-23T01:21:44.6192700Z FINISHED PRINTING LOG FILE of lazy/test_debug_util (/var/lib/jenkins/workspace/test/test-reports/lazy-test_debug_util__74j74oa) 2022-11-23T01:21:44.6192923Z 2022-11-23T01:21:46.6116034Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:46.6913253Z Ignoring disabled issues: [] 2022-11-23T01:21:46.7063320Z Running lazy/test_extract_compiled_graph ... [2022-11-23 01:21:46.706008] 2022-11-23T01:21:46.7065304Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_extract_compiled_graph.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:46.706288] 2022-11-23T01:21:48.1820732Z 2022-11-23T01:21:48.1822254Z Expand the folded group to see the log file of lazy/test_extract_compiled_graph 2022-11-23T01:21:48.1823049Z ##[group]PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_rqauf36j) 2022-11-23T01:21:48.1823318Z 2022-11-23T01:21:48.1823539Z ##[endgroup] 2022-11-23T01:21:48.1824071Z FINISHED PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_rqauf36j) 2022-11-23T01:21:48.1824323Z 2022-11-23T01:21:50.1505615Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:50.2308298Z Ignoring disabled issues: [] 2022-11-23T01:21:50.2456949Z Running lazy/test_meta_kernel ... [2022-11-23 01:21:50.245412] 2022-11-23T01:21:50.2459602Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_meta_kernel.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:50.245691] 2022-11-23T01:21:51.9303499Z 2022-11-23T01:21:51.9304075Z Expand the folded group to see the log file of lazy/test_meta_kernel 2022-11-23T01:21:51.9305487Z ##[group]PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_gmzdrzsv) 2022-11-23T01:21:51.9305907Z 2022-11-23T01:21:51.9306275Z ##[endgroup] 2022-11-23T01:21:51.9307086Z FINISHED PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_gmzdrzsv) 2022-11-23T01:21:51.9307490Z 2022-11-23T01:21:53.8970539Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:53.9746794Z Ignoring disabled issues: [] 2022-11-23T01:21:53.9895239Z Running lazy/test_reuse_ir ... [2022-11-23 01:21:53.989110] 2022-11-23T01:21:53.9896313Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:53.989375] 2022-11-23T01:21:56.1997421Z 2022-11-23T01:21:56.1997960Z Expand the folded group to see the log file of lazy/test_reuse_ir 2022-11-23T01:21:56.1999013Z ##[group]PRINTING LOG FILE of lazy/test_reuse_ir (/var/lib/jenkins/workspace/test/test-reports/lazy-test_reuse_ir_qgimr9ta) 2022-11-23T01:21:56.1999621Z 2022-11-23T01:21:56.1999710Z Running tests... 2022-11-23T01:21:56.2000570Z ---------------------------------------------------------------------- 2022-11-23T01:21:56.2001223Z Test results will be stored in test-reports/python-unittest/lazy.test_reuse_ir 2022-11-23T01:21:56.2002662Z testAdd (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77722 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.247s) 2022-11-23T01:21:56.2004707Z testAddSub (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77721 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:21:56.2007032Z testAddSubFallback (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77723 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:21:56.2007968Z testBatchNorm (__main__.TestLazyReuseIr) ... ok (0.157s) 2022-11-23T01:21:56.2008232Z 2022-11-23T01:21:56.2008581Z ---------------------------------------------------------------------- 2022-11-23T01:21:56.2008982Z Ran 4 tests in 0.406s 2022-11-23T01:21:56.2009159Z 2022-11-23T01:21:56.2009283Z OK (skipped=3) 2022-11-23T01:21:56.2009439Z 2022-11-23T01:21:56.2009579Z Generating XML reports... 2022-11-23T01:21:56.2010289Z Generated XML report: test-reports/python-unittest/lazy.test_reuse_ir/TEST-TestLazyReuseIr-20221123012155.xml 2022-11-23T01:21:56.2010702Z 2022-11-23T01:21:56.2011144Z ##[endgroup] 2022-11-23T01:21:56.2011834Z FINISHED PRINTING LOG FILE of lazy/test_reuse_ir (/var/lib/jenkins/workspace/test/test-reports/lazy-test_reuse_ir_qgimr9ta) 2022-11-23T01:21:56.2012212Z 2022-11-23T01:21:58.1662604Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:21:58.2427658Z Ignoring disabled issues: [] 2022-11-23T01:21:58.2576257Z Running lazy/test_step_closures ... [2022-11-23 01:21:58.257348] 2022-11-23T01:21:58.2578310Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_step_closures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:58.257600] 2022-11-23T01:22:02.2775524Z 2022-11-23T01:22:02.2776090Z Expand the folded group to see the log file of lazy/test_step_closures 2022-11-23T01:22:02.2777148Z ##[group]PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_bd6xief2) 2022-11-23T01:22:02.2777603Z 2022-11-23T01:22:02.2777732Z Running tests... 2022-11-23T01:22:02.2778369Z ---------------------------------------------------------------------- 2022-11-23T01:22:02.2779079Z Test results will be stored in test-reports/python-unittest/lazy.test_step_closures 2022-11-23T01:22:02.2779597Z test_asynchronous (__main__.ClosuresTest) ... ok (0.247s) 2022-11-23T01:22:02.2780049Z test_asynchronous_exception (__main__.ClosuresTest) ... ok (1.001s) 2022-11-23T01:22:02.2780520Z test_synchronous (__main__.ClosuresTest) ... ok (1.002s) 2022-11-23T01:22:02.2780967Z test_synchronous_exception (__main__.ClosuresTest) ... ok (0.001s) 2022-11-23T01:22:02.2781244Z 2022-11-23T01:22:02.2781619Z ---------------------------------------------------------------------- 2022-11-23T01:22:02.2782031Z Ran 4 tests in 2.252s 2022-11-23T01:22:02.2782225Z 2022-11-23T01:22:02.2782351Z OK 2022-11-23T01:22:02.2782488Z 2022-11-23T01:22:02.2782631Z Generating XML reports... 2022-11-23T01:22:02.2783355Z Generated XML report: test-reports/python-unittest/lazy.test_step_closures/TEST-ClosuresTest-20221123012159.xml 2022-11-23T01:22:02.2783778Z 2022-11-23T01:22:02.2784168Z ##[endgroup] 2022-11-23T01:22:02.2785143Z FINISHED PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_bd6xief2) 2022-11-23T01:22:02.2785560Z 2022-11-23T01:22:04.2545813Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:04.3354436Z Ignoring disabled issues: [] 2022-11-23T01:22:04.3505290Z Running lazy/test_ts_opinfo ... [2022-11-23 01:22:04.350078] 2022-11-23T01:22:04.3506038Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:04.350367] 2022-11-23T01:22:07.3002541Z 2022-11-23T01:22:07.3003021Z Expand the folded group to see the log file of lazy/test_ts_opinfo 2022-11-23T01:22:07.3004028Z ##[group]PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_rjktx4wo) 2022-11-23T01:22:07.3004468Z 2022-11-23T01:22:07.3004545Z Running tests... 2022-11-23T01:22:07.3005122Z ---------------------------------------------------------------------- 2022-11-23T01:22:07.3005510Z Test results will be stored in test-reports/python-unittest/lazy.test_ts_opinfo 2022-11-23T01:22:07.3005831Z test_nonzero_dynamic (__main__.TestLazyDynamicOps) ... ok (0.165s) 2022-11-23T01:22:07.3006185Z testConvolutionBackward (__main__.TestLazyTensor) ... skip: Disable until autograd supports symints (0.001s) 2022-11-23T01:22:07.3006501Z test_tensor_ctr (__main__.TestLazyTensor) ... ok (0.002s) 2022-11-23T01:22:07.3006778Z test_view_mark_step_preserved (__main__.TestLazyTensor) ... ok (0.003s) 2022-11-23T01:22:07.3006943Z 2022-11-23T01:22:07.3007141Z ---------------------------------------------------------------------- 2022-11-23T01:22:07.3007388Z Ran 4 tests in 0.171s 2022-11-23T01:22:07.3007489Z 2022-11-23T01:22:07.3007564Z OK (skipped=1) 2022-11-23T01:22:07.3007670Z 2022-11-23T01:22:07.3007755Z Generating XML reports... 2022-11-23T01:22:07.3008194Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221123012206.xml 2022-11-23T01:22:07.3008705Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221123012206.xml 2022-11-23T01:22:07.3008936Z 2022-11-23T01:22:07.3009167Z ##[endgroup] 2022-11-23T01:22:07.3009559Z FINISHED PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_rjktx4wo) 2022-11-23T01:22:07.3009778Z 2022-11-23T01:22:09.3134594Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:09.3915519Z Ignoring disabled issues: [] 2022-11-23T01:22:09.4065995Z Running nn/test_convolution ... [2022-11-23 01:22:09.406269] 2022-11-23T01:22:09.4068279Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_convolution.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:09.406571] 2022-11-23T01:22:17.8184270Z 2022-11-23T01:22:17.8184767Z Expand the folded group to see the log file of nn/test_convolution 2022-11-23T01:22:17.8185557Z ##[group]PRINTING LOG FILE of nn/test_convolution (/var/lib/jenkins/workspace/test/test-reports/nn-test_convolution_4fpdadta) 2022-11-23T01:22:17.8185871Z 2022-11-23T01:22:17.8185955Z Running tests... 2022-11-23T01:22:17.8186378Z ---------------------------------------------------------------------- 2022-11-23T01:22:17.8186786Z Test results will be stored in test-reports/python-unittest/nn.test_convolution 2022-11-23T01:22:17.8187690Z test_Conv1d_module_same_padding (__main__.TestConvolutionNN) ... /var/lib/jenkins/workspace/test/nn/test_convolution.py:152: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T01:22:17.8188384Z expect = F.conv1d(x, module.weight, module.bias, padding='same') 2022-11-23T01:22:17.8188611Z ok (0.005s) 2022-11-23T01:22:17.8188865Z test_Conv2d_1x1 (__main__.TestConvolutionNN) ... ok (0.006s) 2022-11-23T01:22:17.8189330Z test_Conv2d_OneDNN (__main__.TestConvolutionNN) ... ok (0.020s) 2022-11-23T01:22:17.8189676Z test_Conv2d_backward_twice (__main__.TestConvolutionNN) ... ok (0.008s) 2022-11-23T01:22:17.8189976Z test_Conv2d_groups_nobias (__main__.TestConvolutionNN) ... ok (0.043s) 2022-11-23T01:22:17.8190305Z test_Conv2d_groups_nobias_v2 (__main__.TestConvolutionNN) ... ok (0.006s) 2022-11-23T01:22:17.8190610Z test_Conv2d_inconsistent_types (__main__.TestConvolutionNN) ... ok (0.008s) 2022-11-23T01:22:17.8191005Z test_Conv2d_inconsistent_types_on_GPU_with_cudnn (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:22:17.8191388Z test_Conv2d_inconsistent_types_on_GPU_without_cudnn (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:22:17.8191849Z test_Conv2d_missing_argument (__main__.TestConvolutionNN) ... ok (0.001s) 2022-11-23T01:22:17.8192155Z test_Conv2d_module_same_padding (__main__.TestConvolutionNN) ... ok (0.005s) 2022-11-23T01:22:17.8192494Z test_Conv3d_groups_nobias (__main__.TestConvolutionNN) ... ok (0.006s) 2022-11-23T01:22:17.8192784Z test_Conv3d_groups_wbias (__main__.TestConvolutionNN) ... ok (0.006s) 2022-11-23T01:22:17.8193080Z test_Conv3d_module_same_padding (__main__.TestConvolutionNN) ... ok (0.005s) 2022-11-23T01:22:17.8193471Z test_ConvTranspose2d_half_cublas_gemm (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:22:17.8193800Z test_ConvTranspose2d_output_size (__main__.TestConvolutionNN) ... ok (0.004s) 2022-11-23T01:22:17.8229553Z test_ConvTranspose2d_output_size_downsample_upsample (__main__.TestConvolutionNN) ... ok (4.346s) 2022-11-23T01:22:17.8229929Z test_ConvTranspose3d_correct_output_size (__main__.TestConvolutionNN) ... ok (0.001s) 2022-11-23T01:22:17.8230271Z test_conv2d_discontiguous_weight (__main__.TestConvolutionNN) ... ok (0.049s) 2022-11-23T01:22:17.8230559Z test_conv_backcompat (__main__.TestConvolutionNN) ... ok (0.035s) 2022-11-23T01:22:17.8230903Z test_conv_cudnn_memory_layout_dominance (__main__.TestConvolutionNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:22:17.8231231Z test_conv_invalid_groups (__main__.TestConvolutionNN) ... ok (0.001s) 2022-11-23T01:22:17.8231546Z test_conv_modules_raise_error_on_incorrect_input_size (__main__.TestConvolutionNN) ... ok (0.099s) 2022-11-23T01:22:17.8231866Z test_conv_padding_mode (__main__.TestConvolutionNN) ... ok (0.001s) 2022-11-23T01:22:17.8232948Z test_conv_shapecheck (__main__.TestConvolutionNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-11-23T01:22:17.8233573Z warnings.warn( 2022-11-23T01:22:17.8233751Z ok (0.168s) 2022-11-23T01:22:17.8233955Z test_conv_tbc (__main__.TestConvolutionNN) ... ok (0.005s) 2022-11-23T01:22:17.8234260Z test_cudnn_non_contiguous (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:22:17.8234609Z test_cudnn_noncontiguous_weight (__main__.TestConvolutionNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:22:17.8234917Z test_functional_grad_conv (__main__.TestConvolutionNN) ... ok (0.004s) 2022-11-23T01:22:17.8235277Z test_functional_grad_conv2d (__main__.TestConvolutionNN) ... ok (0.138s) 2022-11-23T01:22:17.8235574Z test_grad_conv1d_input (__main__.TestConvolutionNN) ... ok (0.053s) 2022-11-23T01:22:17.8235861Z test_grad_conv1d_weight (__main__.TestConvolutionNN) ... ok (0.041s) 2022-11-23T01:22:17.8236134Z test_grad_conv2d_input (__main__.TestConvolutionNN) ... ok (0.063s) 2022-11-23T01:22:17.8236423Z test_grad_conv2d_weight (__main__.TestConvolutionNN) ... ok (0.053s) 2022-11-23T01:22:17.8236943Z test_grad_conv3d_input (__main__.TestConvolutionNN) ... ok (0.075s) 2022-11-23T01:22:17.8237220Z test_grad_conv3d_weight (__main__.TestConvolutionNN) ... ok (0.057s) 2022-11-23T01:22:17.8237551Z test_grouped_conv_cudnn_nhwc_support (__main__.TestConvolutionNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:22:17.8238581Z test_invalid_conv1d (__main__.TestConvolutionNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-11-23T01:22:17.8239185Z warnings.warn( 2022-11-23T01:22:17.8239411Z ok (0.075s) 2022-11-23T01:22:17.8239637Z test_invalid_conv2d (__main__.TestConvolutionNN) ... ok (0.147s) 2022-11-23T01:22:17.8239917Z test_invalid_conv3d (__main__.TestConvolutionNN) ... ok (0.072s) 2022-11-23T01:22:17.8240209Z test_mismatch_shape_conv2d (__main__.TestConvolutionNN) ... ok (0.007s) 2022-11-23T01:22:17.8240550Z test_nnpack_conv (__main__.TestConvolutionNN) ... ok (0.420s) 2022-11-23T01:22:17.8240879Z test_thnn_conv_strided_padded_dilated (__main__.TestConvolutionNN) ... skip: CUDA not available (0.002s) 2022-11-23T01:22:17.8241078Z 2022-11-23T01:22:17.8241286Z ---------------------------------------------------------------------- 2022-11-23T01:22:17.8241518Z Ran 43 tests in 6.042s 2022-11-23T01:22:17.8241633Z 2022-11-23T01:22:17.8241707Z OK (skipped=8) 2022-11-23T01:22:17.8241815Z 2022-11-23T01:22:17.8241902Z Generating XML reports... 2022-11-23T01:22:17.8242330Z Generated XML report: test-reports/python-unittest/nn.test_convolution/TEST-TestConvolutionNN-20221123012211.xml 2022-11-23T01:22:17.8242561Z 2022-11-23T01:22:17.8242868Z ##[endgroup] 2022-11-23T01:22:17.8243272Z FINISHED PRINTING LOG FILE of nn/test_convolution (/var/lib/jenkins/workspace/test/test-reports/nn-test_convolution_4fpdadta) 2022-11-23T01:22:17.8243503Z 2022-11-23T01:22:19.7760523Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:19.8583853Z Ignoring disabled issues: [] 2022-11-23T01:22:19.8732737Z Running nn/test_dropout ... [2022-11-23 01:22:19.872986] 2022-11-23T01:22:19.8735018Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_dropout.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:19.873258] 2022-11-23T01:22:21.9965446Z 2022-11-23T01:22:21.9966039Z Expand the folded group to see the log file of nn/test_dropout 2022-11-23T01:22:21.9967258Z ##[group]PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_oht361wl) 2022-11-23T01:22:21.9967662Z 2022-11-23T01:22:21.9967778Z Running tests... 2022-11-23T01:22:21.9968490Z ---------------------------------------------------------------------- 2022-11-23T01:22:21.9969195Z Test results will be stored in test-reports/python-unittest/nn.test_dropout 2022-11-23T01:22:21.9969781Z test_AlphaDropout (__main__.TestDropoutNN) ... ok (0.003s) 2022-11-23T01:22:21.9970278Z test_FeatureAlphaDropout (__main__.TestDropoutNN) ... ok (0.077s) 2022-11-23T01:22:21.9970775Z test_invalid_dropout_p (__main__.TestDropoutNN) ... ok (0.001s) 2022-11-23T01:22:21.9971362Z test_native_dropout_corner_case (__main__.TestDropoutNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:22:21.9971718Z 2022-11-23T01:22:21.9972069Z ---------------------------------------------------------------------- 2022-11-23T01:22:21.9972513Z Ran 4 tests in 0.083s 2022-11-23T01:22:21.9972720Z 2022-11-23T01:22:21.9972855Z OK (skipped=1) 2022-11-23T01:22:21.9973050Z 2022-11-23T01:22:21.9973197Z Generating XML reports... 2022-11-23T01:22:21.9973940Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123012221.xml 2022-11-23T01:22:21.9974376Z 2022-11-23T01:22:21.9974801Z ##[endgroup] 2022-11-23T01:22:21.9975758Z FINISHED PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_oht361wl) 2022-11-23T01:22:21.9976162Z 2022-11-23T01:22:23.9683143Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:24.0470432Z Ignoring disabled issues: [] 2022-11-23T01:22:24.0621212Z Running nn/test_embedding ... [2022-11-23 01:22:24.061752] 2022-11-23T01:22:24.0622123Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_embedding.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:24.062004] 2022-11-23T01:22:26.1337863Z 2022-11-23T01:22:26.1338415Z Expand the folded group to see the log file of nn/test_embedding 2022-11-23T01:22:26.1339368Z ##[group]PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_do23eepx) 2022-11-23T01:22:26.1339835Z 2022-11-23T01:22:26.1339911Z Running tests... 2022-11-23T01:22:26.1340316Z ---------------------------------------------------------------------- 2022-11-23T01:22:26.1340695Z Test results will be stored in test-reports/python-unittest/nn.test_embedding 2022-11-23T01:22:26.1341028Z test_embedding_bag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.003s) 2022-11-23T01:22:26.1341359Z test_embedding_bag_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1341667Z test_embedding_bag_functional (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:22:26.1341977Z test_embedding_bag_padding_idx_error (__main__.TestEmbeddingNN) ... ok (0.012s) 2022-11-23T01:22:26.1342296Z test_embedding_from_pretrained_float32 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1342619Z test_embedding_from_pretrained_float64 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1342919Z test_embedding_from_pretrained_int16 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1343232Z test_embedding_from_pretrained_int32 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1343537Z test_embedding_from_pretrained_int64 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1343831Z test_embedding_from_pretrained_int8 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1344143Z test_embedding_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1344471Z test_embedding_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1344789Z test_embedding_from_pretrained_uint8 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1345069Z test_embedding_functional (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:22:26.1345353Z test_embedding_max_norm (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1345695Z test_embedding_max_norm_unsorted_repeating_indices (__main__.TestEmbeddingNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:22:26.1346023Z test_embedding_sparse_basic (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1346323Z test_embedding_sparse_empty_tensor (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:22:26.1346633Z test_embeddingbag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:22:26.1346947Z test_embeddingbag_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:22:26.1347249Z test_move_sparse_half_embedding (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:22:26.1347416Z 2022-11-23T01:22:26.1347616Z ---------------------------------------------------------------------- 2022-11-23T01:22:26.1347856Z Ran 21 tests in 0.041s 2022-11-23T01:22:26.1347968Z 2022-11-23T01:22:26.1348027Z OK (skipped=1) 2022-11-23T01:22:26.1348132Z 2022-11-23T01:22:26.1348217Z Generating XML reports... 2022-11-23T01:22:26.1348642Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20221123012225.xml 2022-11-23T01:22:26.1348883Z 2022-11-23T01:22:26.1349103Z ##[endgroup] 2022-11-23T01:22:26.1349571Z FINISHED PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_do23eepx) 2022-11-23T01:22:26.1349797Z 2022-11-23T01:22:28.1019950Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:28.1832917Z Ignoring disabled issues: [] 2022-11-23T01:22:28.1982859Z Running nn/test_lazy_modules ... [2022-11-23 01:22:28.197963] 2022-11-23T01:22:28.1984434Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_lazy_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:28.198227] 2022-11-23T01:22:30.6383575Z 2022-11-23T01:22:30.6384205Z Expand the folded group to see the log file of nn/test_lazy_modules 2022-11-23T01:22:30.6385571Z ##[group]PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_zskvwrof) 2022-11-23T01:22:30.6386054Z 2022-11-23T01:22:30.6386439Z Running tests... 2022-11-23T01:22:30.6386850Z ---------------------------------------------------------------------- 2022-11-23T01:22:30.6387247Z Test results will be stored in test-reports/python-unittest/nn.test_lazy_modules 2022-11-23T01:22:30.6387556Z test_chained_initialization (__main__.TestLazyModules) ... ok (0.081s) 2022-11-23T01:22:30.6387846Z test_invalid_functions (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6388514Z test_lazy_batchnorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:22:30.6389049Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:22:30.6389268Z ok (0.010s) 2022-11-23T01:22:30.6389497Z test_lazy_batchnorm1d_pickle (__main__.TestLazyModules) ... ok (0.008s) 2022-11-23T01:22:30.6389785Z test_lazy_batchnorm1d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6390074Z test_lazy_batchnorm2d (__main__.TestLazyModules) ... ok (0.005s) 2022-11-23T01:22:30.6390351Z test_lazy_batchnorm2d_pickle (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6390637Z test_lazy_batchnorm2d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6390915Z test_lazy_batchnorm3d (__main__.TestLazyModules) ... ok (0.007s) 2022-11-23T01:22:30.6391196Z test_lazy_batchnorm3d_pickle (__main__.TestLazyModules) ... ok (0.005s) 2022-11-23T01:22:30.6391470Z test_lazy_batchnorm3d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6391742Z test_lazy_conv1d (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6392012Z test_lazy_conv1d_pickle (__main__.TestLazyModules) ... ok (0.003s) 2022-11-23T01:22:30.6392276Z test_lazy_conv1d_state (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6392541Z test_lazy_conv2d (__main__.TestLazyModules) ... ok (0.003s) 2022-11-23T01:22:30.6392816Z test_lazy_conv2d_pickle (__main__.TestLazyModules) ... ok (0.003s) 2022-11-23T01:22:30.6393080Z test_lazy_conv2d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6393349Z test_lazy_conv3d (__main__.TestLazyModules) ... ok (0.015s) 2022-11-23T01:22:30.6393618Z test_lazy_conv3d_pickle (__main__.TestLazyModules) ... ok (0.007s) 2022-11-23T01:22:30.6393895Z test_lazy_conv3d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6394173Z test_lazy_conv_transpose1d_pickle (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6394476Z test_lazy_conv_transpose1d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6394767Z test_lazy_conv_transpose2d (__main__.TestLazyModules) ... ok (0.014s) 2022-11-23T01:22:30.6395049Z test_lazy_conv_transpose2d_pickle (__main__.TestLazyModules) ... ok (0.006s) 2022-11-23T01:22:30.6395350Z test_lazy_conv_transpose2d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6395643Z test_lazy_conv_transpose3d (__main__.TestLazyModules) ... ok (0.158s) 2022-11-23T01:22:30.6395936Z test_lazy_conv_transpose3d_pickle (__main__.TestLazyModules) ... ok (0.052s) 2022-11-23T01:22:30.6396304Z test_lazy_conv_transpose3d_state (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6396604Z test_lazy_conv_transposed1d (__main__.TestLazyModules) ... ok (0.008s) 2022-11-23T01:22:30.6396877Z test_lazy_forward_hook (__main__.TestLazyModules) 2022-11-23T01:22:30.6397542Z This test is to test whether lazymodule can register other forward hook ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:22:30.6398096Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:22:30.6398329Z ok (0.002s) 2022-11-23T01:22:30.6398561Z test_lazy_instancenorm1d (__main__.TestLazyModules) ... ok (0.005s) 2022-11-23T01:22:30.6398891Z test_lazy_instancenorm1d_pickle (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6399189Z test_lazy_instancenorm1d_state (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6399482Z test_lazy_instancenorm2d (__main__.TestLazyModules) ... ok (0.005s) 2022-11-23T01:22:30.6399762Z test_lazy_instancenorm2d_pickle (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6400057Z test_lazy_instancenorm2d_state (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6400345Z test_lazy_instancenorm3d (__main__.TestLazyModules) ... ok (0.006s) 2022-11-23T01:22:30.6400722Z test_lazy_instancenorm3d_pickle (__main__.TestLazyModules) ... ok (0.005s) 2022-11-23T01:22:30.6401009Z test_lazy_instancenorm3d_state (__main__.TestLazyModules) ... ok (0.004s) 2022-11-23T01:22:30.6401299Z test_lazy_linear_pickle (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6401582Z test_lazy_module_buffer (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6401854Z test_lazy_module_jit_buffer (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6402145Z test_lazy_module_jit_param (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6402434Z test_lazy_module_parameter (__main__.TestLazyModules) ... ok (0.002s) 2022-11-23T01:22:30.6402709Z test_lazy_pre_forward_hook (__main__.TestLazyModules) 2022-11-23T01:22:30.6403369Z This test is to test whether lazymodule can register other pre-forward hook ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:22:30.6403918Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:22:30.6404150Z ok (0.001s) 2022-11-23T01:22:30.6404366Z test_lazy_share_memory_buffer (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6404653Z test_lazy_share_memory_param (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6405107Z test_linear (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6405373Z test_linear_state (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6405663Z test_materialize_device (__main__.TestLazyModules) ... skip: CUDA not available (0.000s) 2022-11-23T01:22:30.6405976Z test_materialize_dtype (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6406254Z test_optimizer_pass (__main__.TestLazyModules) ... ok (0.005s) 2022-11-23T01:22:30.6406514Z test_spectral_norm (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6406782Z test_weight_norm (__main__.TestLazyModules) ... ok (0.001s) 2022-11-23T01:22:30.6406934Z 2022-11-23T01:22:30.6407138Z ---------------------------------------------------------------------- 2022-11-23T01:22:30.6407378Z Ran 54 tests in 0.483s 2022-11-23T01:22:30.6407481Z 2022-11-23T01:22:30.6407551Z OK (skipped=1) 2022-11-23T01:22:30.6407660Z 2022-11-23T01:22:30.6407747Z Generating XML reports... 2022-11-23T01:22:30.6408164Z Generated XML report: test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123012229.xml 2022-11-23T01:22:30.6408401Z 2022-11-23T01:22:30.6408718Z ##[endgroup] 2022-11-23T01:22:30.6409116Z FINISHED PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_zskvwrof) 2022-11-23T01:22:30.6409339Z 2022-11-23T01:22:32.6029284Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:32.6833703Z Ignoring disabled issues: [] 2022-11-23T01:22:32.6985859Z Running nn/test_module_hooks ... [2022-11-23 01:22:32.698261] 2022-11-23T01:22:32.6987439Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_module_hooks.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:32.698511] 2022-11-23T01:22:34.7466261Z 2022-11-23T01:22:34.7466816Z Expand the folded group to see the log file of nn/test_module_hooks 2022-11-23T01:22:34.7467928Z ##[group]PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_jsi45ax1) 2022-11-23T01:22:34.7468606Z 2022-11-23T01:22:34.7468669Z Running tests... 2022-11-23T01:22:34.7470933Z ---------------------------------------------------------------------- 2022-11-23T01:22:34.7471576Z Test results will be stored in test-reports/python-unittest/nn.test_module_hooks 2022-11-23T01:22:34.7471888Z test_forward_hooks (__main__.TestModuleHooks) ... ok (0.255s) 2022-11-23T01:22:34.7472155Z test_forward_pre_hooks (__main__.TestModuleHooks) ... ok (0.005s) 2022-11-23T01:22:34.7472444Z test_full_backward_hooks (__main__.TestModuleHooks) ... ok (0.005s) 2022-11-23T01:22:34.7472737Z test_full_backward_pre_hooks (__main__.TestModuleHooks) ... ok (0.004s) 2022-11-23T01:22:34.7474480Z test_mixed_hooks (__main__.TestModuleHooks) ... ok (0.004s) 2022-11-23T01:22:34.7474729Z 2022-11-23T01:22:34.7475123Z ---------------------------------------------------------------------- 2022-11-23T01:22:34.7475578Z Ran 5 tests in 0.274s 2022-11-23T01:22:34.7475781Z 2022-11-23T01:22:34.7475888Z OK 2022-11-23T01:22:34.7476049Z 2022-11-23T01:22:34.7476185Z Generating XML reports... 2022-11-23T01:22:34.7476895Z Generated XML report: test-reports/python-unittest/nn.test_module_hooks/TEST-TestModuleHooks-20221123012234.xml 2022-11-23T01:22:34.7480644Z 2022-11-23T01:22:34.7481056Z ##[endgroup] 2022-11-23T01:22:34.7481525Z FINISHED PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_jsi45ax1) 2022-11-23T01:22:34.7481750Z 2022-11-23T01:22:36.7108695Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:36.7906464Z Ignoring disabled issues: [] 2022-11-23T01:22:36.8057891Z Running nn/test_packed_sequence ... [2022-11-23 01:22:36.805441] 2022-11-23T01:22:36.8059300Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_packed_sequence.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:36.805708] 2022-11-23T01:22:39.0154384Z 2022-11-23T01:22:39.0154969Z Expand the folded group to see the log file of nn/test_packed_sequence 2022-11-23T01:22:39.0156106Z ##[group]PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_yegg7epn) 2022-11-23T01:22:39.0156582Z 2022-11-23T01:22:39.0156712Z Running tests... 2022-11-23T01:22:39.0157388Z ---------------------------------------------------------------------- 2022-11-23T01:22:39.0158113Z Test results will be stored in test-reports/python-unittest/nn.test_packed_sequence 2022-11-23T01:22:39.0158701Z test_pack_padded_sequence (__main__.PackedSequenceTest) ... ok (0.276s) 2022-11-23T01:22:39.0159249Z test_pack_sequence (__main__.PackedSequenceTest) ... ok (0.083s) 2022-11-23T01:22:39.0159744Z test_pad_sequence (__main__.PackedSequenceTest) ... ok (0.015s) 2022-11-23T01:22:39.0160246Z test_pad_sequence_with_non_iterable_sequences (__main__.PackedSequenceTest) ... ok (0.001s) 2022-11-23T01:22:39.0160910Z test_pad_sequence_with_tensor_sequences (__main__.PackedSequenceTest) ... ok (0.001s) 2022-11-23T01:22:39.0161398Z test_to (__main__.PackedSequenceTest) ... ok (0.002s) 2022-11-23T01:22:39.0162129Z test_to_memory_format (__main__.PackedSequenceTest) ... ok (0.001s) 2022-11-23T01:22:39.0162591Z test_total_length (__main__.PackedSequenceTest) ... ok (0.003s) 2022-11-23T01:22:39.0163030Z test_type_casts (__main__.PackedSequenceTest) 2022-11-23T01:22:39.0163547Z Test type casting of `PackedSequence` against type casting of tensor ... ok (0.025s) 2022-11-23T01:22:39.0164052Z test_unpack_sequence (__main__.PackedSequenceTest) ... ok (0.012s) 2022-11-23T01:22:39.0164576Z test_unpad_sequence (__main__.PackedSequenceTest) ... ok (0.010s) 2022-11-23T01:22:39.0165306Z test_wrong_order (__main__.PackedSequenceTest) ... ok (0.005s) 2022-11-23T01:22:39.0165561Z 2022-11-23T01:22:39.0165929Z ---------------------------------------------------------------------- 2022-11-23T01:22:39.0166296Z Ran 12 tests in 0.434s 2022-11-23T01:22:39.0166658Z 2022-11-23T01:22:39.0166753Z OK 2022-11-23T01:22:39.0166917Z 2022-11-23T01:22:39.0167078Z Generating XML reports... 2022-11-23T01:22:39.0167951Z Generated XML report: test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20221123012238.xml 2022-11-23T01:22:39.0168414Z 2022-11-23T01:22:39.0168886Z ##[endgroup] 2022-11-23T01:22:39.0169645Z FINISHED PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_yegg7epn) 2022-11-23T01:22:39.0170080Z 2022-11-23T01:22:40.9876690Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:41.0668476Z Ignoring disabled issues: [] 2022-11-23T01:22:41.0819911Z Running profiler/test_memory_profiler ... [2022-11-23 01:22:41.081603] 2022-11-23T01:22:41.0821069Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:41.081858] 2022-11-23T01:22:43.2849826Z 2022-11-23T01:22:43.2850727Z Expand the folded group to see the log file of profiler/test_memory_profiler 2022-11-23T01:22:43.2851742Z ##[group]PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_6_3gepaz) 2022-11-23T01:22:43.2852069Z 2022-11-23T01:22:43.2852133Z Running tests... 2022-11-23T01:22:43.2852577Z ---------------------------------------------------------------------- 2022-11-23T01:22:43.2853049Z Test results will be stored in test-reports/python-unittest/profiler.test_memory_profiler 2022-11-23T01:22:43.2853581Z test_match_schemas (__main__.TestDataFlow) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2854053Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2854506Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2854775Z ok (0.253s) 2022-11-23T01:22:43.2855530Z test_match_schemas_backward (__main__.TestDataFlow) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2856572Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2857529Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2858076Z ok (0.005s) 2022-11-23T01:22:43.2859009Z test_match_schemas_tensorlist (__main__.TestDataFlow) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2860067Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2861024Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2861556Z ok (0.002s) 2022-11-23T01:22:43.2862567Z test_extract_gradients_from_module (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2863963Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2864919Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2866397Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:22:43.2867341Z warnings.warn(message, UserWarning) 2022-11-23T01:22:43.2868143Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2869067Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2870130Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2871046Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2873834Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2874647Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2875447Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2876184Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2876984Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2877445Z ok (0.038s) 2022-11-23T01:22:43.2878334Z test_extract_gradients_from_module_and_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2879168Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2879785Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2880031Z ok (0.010s) 2022-11-23T01:22:43.2880693Z test_extract_gradients_from_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2881245Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2881897Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2882419Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2882908Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2883389Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2883864Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2884294Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2884964Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2885497Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2886278Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2886875Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2887140Z ok (0.042s) 2022-11-23T01:22:43.2887737Z test_extract_gradients_from_optimizer_set_to_none (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2888308Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2888752Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2889181Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2889592Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2890030Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2890579Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2891009Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2891434Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2891861Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2892285Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2892710Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2892967Z ok (0.048s) 2022-11-23T01:22:43.2893423Z test_extract_gradients_low_level (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2893957Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2894396Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2894830Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2895255Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2895696Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2895938Z ok (0.011s) 2022-11-23T01:22:43.2896366Z test_config_check (__main__.TestMemoryProfiler) ... STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2896839Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2897262Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2897694Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2898122Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2898556Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2898972Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:43.2899397Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:43.2899832Z STAGE:2022-11-23 01:22:42 7552:7552 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:43.2900074Z ok (0.003s) 2022-11-23T01:22:43.2900178Z 2022-11-23T01:22:43.2900376Z ---------------------------------------------------------------------- 2022-11-23T01:22:43.2900622Z Ran 9 tests in 0.412s 2022-11-23T01:22:43.2900735Z 2022-11-23T01:22:43.2900794Z OK 2022-11-23T01:22:43.2900917Z 2022-11-23T01:22:43.2901008Z Generating XML reports... 2022-11-23T01:22:43.2901480Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20221123012242.xml 2022-11-23T01:22:43.2902046Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20221123012242.xml 2022-11-23T01:22:43.2902629Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20221123012242.xml 2022-11-23T01:22:43.2902863Z 2022-11-23T01:22:43.2903236Z ##[endgroup] 2022-11-23T01:22:43.2903667Z FINISHED PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_6_3gepaz) 2022-11-23T01:22:43.2903914Z 2022-11-23T01:22:45.2653154Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:45.3429255Z Ignoring disabled issues: [] 2022-11-23T01:22:45.3579797Z Running profiler/test_profiler ... [2022-11-23 01:22:45.357671] 2022-11-23T01:22:45.3581491Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:45.357941] 2022-11-23T01:22:53.8369093Z 2022-11-23T01:22:53.8369598Z Expand the folded group to see the log file of profiler/test_profiler 2022-11-23T01:22:53.8370728Z ##[group]PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_7fr05a0f) 2022-11-23T01:22:53.8371468Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:53.8371624Z 2022-11-23T01:22:53.8371697Z Running tests... 2022-11-23T01:22:53.8372017Z ---------------------------------------------------------------------- 2022-11-23T01:22:53.8372405Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler 2022-11-23T01:22:53.8372746Z test_execution_graph_alone (__main__.TestExecutionGraph) ... ok (0.009s) 2022-11-23T01:22:53.8373063Z test_execution_graph_no_capture (__main__.TestExecutionGraph) ... ok (0.001s) 2022-11-23T01:22:53.8373390Z test_execution_graph_repeat_in_loop (__main__.TestExecutionGraph) ... ok (0.008s) 2022-11-23T01:22:53.8373698Z test_execution_graph_start_stop (__main__.TestExecutionGraph) ... ok (0.006s) 2022-11-23T01:22:53.8374087Z test_execution_graph_with_kineto (__main__.TestExecutionGraph) ... [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation 2022-11-23T01:22:53.8374466Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation 2022-11-23T01:22:53.8374762Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation 2022-11-23T01:22:53.8375195Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8375631Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8376263Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8376691Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8377120Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8377563Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8377822Z ok (0.019s) 2022-11-23T01:22:53.8378032Z test_bfs (__main__.TestExperimentalUtils) ... ok (0.001s) 2022-11-23T01:22:53.8378303Z test_dfs (__main__.TestExperimentalUtils) ... ok (0.001s) 2022-11-23T01:22:53.8379185Z test_profiler_conv2d_bias_followed_by_batchnorm2d_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82720 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8380071Z test_profiler_extra_cuda_copy_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s) 2022-11-23T01:22:53.8380456Z test_profiler_extra_cuda_copy_pattern_benchmark (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.000s) 2022-11-23T01:22:53.8381360Z test_profiler_for_loop_indexing_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83491 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8381990Z test_profiler_fp32_matmul_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.000s) 2022-11-23T01:22:53.8386588Z test_profiler_grad_not_set_to_none_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8387478Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8388558Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8389585Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8390628Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8391689Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8392733Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8393801Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8394931Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8395971Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8396986Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8398041Z STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8398641Z ok (0.048s) 2022-11-23T01:22:53.8399299Z test_profiler_matmul_dim_fp16_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s) 2022-11-23T01:22:53.8400748Z test_profiler_name_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:47 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8401969Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8403060Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8403690Z ok (2.011s) 2022-11-23T01:22:53.8405942Z test_profiler_optimizer_single_tensor_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82914 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8408156Z test_profiler_pattern_match_helper (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8409395Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8410458Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8411083Z ok (0.004s) 2022-11-23T01:22:53.8412527Z test_profiler_pattern_matcher_json_report (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8413750Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8414906Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8415512Z ok (0.025s) 2022-11-23T01:22:53.8416688Z test_profiler_synchronized_dataloader_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8417957Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8419184Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8419799Z ok (0.102s) 2022-11-23T01:22:53.8420376Z test_utils_compute_idle_time (__main__.TestExperimentalUtils) ... ok (0.002s) 2022-11-23T01:22:53.8421140Z test_utils_compute_queue_depth (__main__.TestExperimentalUtils) ... ok (0.002s) 2022-11-23T01:22:53.8422541Z test_utils_compute_queue_depth_when_no_cuda_events (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8423767Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8424821Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8425444Z ok (0.044s) 2022-11-23T01:22:53.8426518Z test_utils_compute_self_time (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8427755Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8428832Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8429423Z ok (0.007s) 2022-11-23T01:22:53.8430013Z test_utils_get_optimizable_events (__main__.TestExperimentalUtils) ... ok (0.006s) 2022-11-23T01:22:53.8430797Z test_utils_intervals_overlap (__main__.TestExperimentalUtils) ... 5 2022-11-23T01:22:53.8431354Z ok (0.001s) 2022-11-23T01:22:53.8432341Z test_export_stacks (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8433474Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8434560Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8435161Z ok (0.003s) 2022-11-23T01:22:53.8436133Z test_flops (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8437259Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8438359Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8438967Z ok (0.049s) 2022-11-23T01:22:53.8439443Z test_high_level_trace (__main__.TestProfiler) 2022-11-23T01:22:53.8440674Z Checks that python side high level events are recorded. ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8441862Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8442940Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8444000Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8445287Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8446233Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8447291Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8448335Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8449403Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8450016Z ok (0.126s) 2022-11-23T01:22:53.8451884Z test_kineto (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88377 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8453503Z test_kineto_multigpu (__main__.TestProfiler) ... skip: Multiple GPUs needed (0.001s) 2022-11-23T01:22:53.8454737Z test_kineto_profiler_api (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8455866Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8456971Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8458002Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8459006Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8460029Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8461050Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8462065Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8463096Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8464073Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8465072Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8466068Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8466628Z ok (0.010s) 2022-11-23T01:22:53.8468603Z test_memory_profiler (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72280 for platform(s) linux, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:22:53.8470536Z test_module_hierarchy (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8471704Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8472756Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8473647Z ERROR:2022-11-23 01:22:49 7589:7589 CudaDeviceProperties.cpp:27] cudaGetDeviceCount failed with code 35 2022-11-23T01:22:53.8473965Z ok (0.018s) 2022-11-23T01:22:53.8474705Z test_nested_tensor_with_shapes (__main__.TestProfiler) ... /var/lib/jenkins/workspace/test/profiler/test_profiler.py:1271: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:22:53.8475400Z inp = torch.nested.nested_tensor([a, b]) 2022-11-23T01:22:53.8475932Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8476552Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8477195Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8477550Z ok (0.003s) 2022-11-23T01:22:53.8477859Z test_oom_tracing (__main__.TestProfiler) ... ok (0.001s) 2022-11-23T01:22:53.8478230Z test_profiler_correlation_id (__main__.TestProfiler) 2022-11-23T01:22:53.8479120Z We expect the correlation_id to be unique across multiple invokation of the profiler, ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8479971Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8480666Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8481267Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8481902Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8482517Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8483120Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8483728Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8484362Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8485127Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8485719Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8486342Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8486932Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8487517Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8488158Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8488537Z ok (0.113s) 2022-11-23T01:22:53.8489114Z test_profiler_fwd_bwd_link (__main__.TestProfiler) ... skip: Disable forward->backward link to workaround profiler crash (0.001s) 2022-11-23T01:22:53.8489866Z test_profiler_metadata (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8490556Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8491162Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8491519Z ok (0.002s) 2022-11-23T01:22:53.8492103Z test_profiler_tracing (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8492772Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8493393Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8493985Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8494723Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8495343Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8495954Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8496543Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8497166Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8497779Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8498389Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8499120Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8499503Z ok (0.003s) 2022-11-23T01:22:53.8500079Z test_profiler_type (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8500722Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8501330Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8501707Z ok (0.002s) 2022-11-23T01:22:53.8501986Z test_source (__main__.TestProfiler) 2022-11-23T01:22:53.8502705Z Checks that source code attribution works for eager, TS and autograd mode ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8503449Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8504097Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8504450Z ok (0.057s) 2022-11-23T01:22:53.8505078Z test_tensorboard_trace_handler (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8505752Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8506386Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8506970Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8507584Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8508223Z STAGE:2022-11-23 01:22:49 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8508851Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8509468Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8510099Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8510684Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8511252Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8511862Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8512508Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8513124Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8513857Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8514499Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8515127Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8515764Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8516377Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8516981Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8517636Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8517989Z ok (0.114s) 2022-11-23T01:22:53.8518435Z test_custom_module_input_op_ids (__main__.TestProfilerCUDA) ... skip: CUDA is required (0.001s) 2022-11-23T01:22:53.8518843Z test_mem_leak (__main__.TestProfilerCUDA) 2022-11-23T01:22:53.8519381Z Checks that there's no memory leak when using profiler with CUDA ... skip: CUDA is required (0.001s) 2022-11-23T01:22:53.8519827Z test_custom_module_input_op_ids (__main__.TestProfilerITT) ... ok (0.001s) 2022-11-23T01:22:53.8520275Z test_datapipe_delegation_with_profiler (__main__.TestRecordFunction) ... ok (0.002s) 2022-11-23T01:22:53.8521205Z test_datapipe_with_record_function (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8521908Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8522538Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8522904Z ok (0.005s) 2022-11-23T01:22:53.8523579Z test_datapipe_with_record_function_fork (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8524279Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8525036Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8525405Z ok (0.004s) 2022-11-23T01:22:53.8526070Z test_record_function (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8526748Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8527378Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8527738Z ok (0.002s) 2022-11-23T01:22:53.8528383Z test_allocation_id_uniqueness (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8529101Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8529719Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8530074Z ok (0.243s) 2022-11-23T01:22:53.8530673Z test_allocation_ids (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8531350Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8531992Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8532353Z ok (0.180s) 2022-11-23T01:22:53.8533024Z test_allocation_ids_with_other_ops (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8533862Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8534495Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8534829Z ok (0.154s) 2022-11-23T01:22:53.8535445Z test_allocations (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8536148Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8536938Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8537698Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8538439Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8539064Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8539417Z ok (0.158s) 2022-11-23T01:22:53.8540664Z test_extra_fields (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82719 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8541900Z test_impl_reuse (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8542608Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8543248Z STAGE:2022-11-23 01:22:50 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8543593Z ok (0.231s) 2022-11-23T01:22:53.8544241Z test_mkldnn_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8544943Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8545559Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8545924Z ok (0.003s) 2022-11-23T01:22:53.8547096Z test_module_and_optimizer_ids (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87581 for platform(s) linux, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:22:53.8548282Z test_nnmodule_params (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8548984Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8549613Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8550619Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:22:53.8551220Z warnings.warn(message, UserWarning) 2022-11-23T01:22:53.8551489Z ok (0.005s) 2022-11-23T01:22:53.8552116Z test_optimizer (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8552828Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8553575Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8553927Z ok (0.013s) 2022-11-23T01:22:53.8554587Z test_optimizer_parameters_adam (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8555302Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8555930Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8556275Z ok (0.038s) 2022-11-23T01:22:53.8556927Z test_optimizer_parameters_sgd (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8557716Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8558353Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8558698Z ok (0.022s) 2022-11-23T01:22:53.8559338Z test_pointers_and_ids (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8560029Z [W CPUAllocator.cpp:231] Memory block of unknown size was allocated before the profiling started, profiler results will not include the deallocation event 2022-11-23T01:22:53.8560854Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8561502Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8561873Z ok (0.005s) 2022-11-23T01:22:53.8562986Z test_scalar_ins (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83247 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8564074Z test_sparse_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8565001Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8565677Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8566045Z ok (0.004s) 2022-11-23T01:22:53.8566679Z test_tensor_lists (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8567399Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8568027Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8568392Z ok (0.002s) 2022-11-23T01:22:53.8569529Z test_tensor_properties (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83113 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:53.8570684Z test_tensorimpl_invalidation_full (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8571403Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8572015Z STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8572492Z ok (0.493s) 2022-11-23T01:22:53.8573173Z test_tensorimpl_invalidation_keep_alive (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:51 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8573888Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8574511Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8575101Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8575723Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8576364Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8576828Z ok (1.171s) 2022-11-23T01:22:53.8577528Z test_tensorimpl_invalidation_scalar_args (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8578263Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8578912Z STAGE:2022-11-23 01:22:52 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8579267Z ok (0.172s) 2022-11-23T01:22:53.8579932Z test_tensorimpl_invalidation_set (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:53 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8580636Z STAGE:2022-11-23 01:22:53 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8581274Z STAGE:2022-11-23 01:22:53 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8581883Z STAGE:2022-11-23 01:22:53 7589:7589 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:53.8582494Z STAGE:2022-11-23 01:22:53 7589:7589 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:53.8583148Z STAGE:2022-11-23 01:22:53 7589:7589 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:53.8583512Z ok (0.344s) 2022-11-23T01:22:53.8583666Z 2022-11-23T01:22:53.8583962Z ---------------------------------------------------------------------- 2022-11-23T01:22:53.8584313Z Ran 70 tests in 6.073s 2022-11-23T01:22:53.8584476Z 2022-11-23T01:22:53.8584576Z OK (skipped=17) 2022-11-23T01:22:53.8584716Z 2022-11-23T01:22:53.8584835Z Generating XML reports... 2022-11-23T01:22:53.8585464Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExecutionGraph-20221123012247.xml 2022-11-23T01:22:53.8586275Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExperimentalUtils-20221123012247.xml 2022-11-23T01:22:53.8587013Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfiler-20221123012247.xml 2022-11-23T01:22:53.8587759Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerITT-20221123012247.xml 2022-11-23T01:22:53.8588527Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestRecordFunction-20221123012247.xml 2022-11-23T01:22:53.8589280Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestTorchTidyProfiler-20221123012247.xml 2022-11-23T01:22:53.8590041Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerCUDA-20221123012247.xml 2022-11-23T01:22:53.8590370Z 2022-11-23T01:22:53.8590838Z ##[endgroup] 2022-11-23T01:22:53.8591436Z FINISHED PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_7fr05a0f) 2022-11-23T01:22:53.8591778Z 2022-11-23T01:22:55.8421895Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:22:55.9190626Z Ignoring disabled issues: [] 2022-11-23T01:22:55.9343551Z Running profiler/test_profiler_tree ... [2022-11-23 01:22:55.933965] 2022-11-23T01:22:55.9344769Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:55.934244] 2022-11-23T01:22:58.0230988Z 2022-11-23T01:22:58.0231690Z Expand the folded group to see the log file of profiler/test_profiler_tree 2022-11-23T01:22:58.0232797Z ##[group]PRINTING LOG FILE of profiler/test_profiler_tree (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_tree_omorj47m) 2022-11-23T01:22:58.0233054Z 2022-11-23T01:22:58.0233130Z Running tests... 2022-11-23T01:22:58.0233652Z ---------------------------------------------------------------------- 2022-11-23T01:22:58.0234092Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler_tree 2022-11-23T01:22:58.0235220Z test_profiler_experimental_tree (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82499 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.245s) 2022-11-23T01:22:58.0235891Z test_profiler_experimental_tree_cuda (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s) 2022-11-23T01:22:58.0236336Z test_profiler_experimental_tree_cuda_detailed (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s) 2022-11-23T01:22:58.0236789Z test_profiler_experimental_tree_cuda_with_stream (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s) 2022-11-23T01:22:58.0237721Z test_profiler_experimental_tree_with_memory (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82501 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:58.0238871Z test_profiler_experimental_tree_with_memory_and_stack (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83228 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:58.0240041Z test_profiler_experimental_tree_with_record_function (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83246 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:22:58.0240977Z test_profiler_experimental_tree_with_stack_and_modules (__main__.TestProfilerTree) ... STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0241503Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0241956Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0242392Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0242808Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0243248Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0243686Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0244180Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0244621Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0245110Z ok (0.016s) 2022-11-23T01:22:58.0245620Z test_profiler_experimental_tree_with_stack_and_torch_dispatch (__main__.TestProfilerTree) ... STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0246132Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0246571Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0247004Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0247491Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0247920Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0248348Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0248773Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0249200Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0249459Z ok (0.006s) 2022-11-23T01:22:58.0249952Z test_profiler_experimental_tree_with_stack_and_torch_function (__main__.TestProfilerTree) ... STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0250472Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0250905Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0251337Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0251760Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0252202Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0252614Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:22:58.0253040Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:22:58.0253481Z STAGE:2022-11-23 01:22:57 7702:7702 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:22:58.0253727Z ok (0.005s) 2022-11-23T01:22:58.0253834Z 2022-11-23T01:22:58.0254031Z ---------------------------------------------------------------------- 2022-11-23T01:22:58.0254278Z Ran 10 tests in 0.278s 2022-11-23T01:22:58.0254397Z 2022-11-23T01:22:58.0254472Z OK (skipped=7) 2022-11-23T01:22:58.0254564Z 2022-11-23T01:22:58.0254651Z Generating XML reports... 2022-11-23T01:22:58.0255088Z Generated XML report: test-reports/python-unittest/profiler.test_profiler_tree/TEST-TestProfilerTree-20221123012257.xml 2022-11-23T01:22:58.0255333Z 2022-11-23T01:22:58.0255614Z ##[endgroup] 2022-11-23T01:22:58.0256025Z FINISHED PRINTING LOG FILE of profiler/test_profiler_tree (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_tree_omorj47m) 2022-11-23T01:22:58.0256267Z 2022-11-23T01:22:59.9989188Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:00.0794194Z Ignoring disabled issues: [] 2022-11-23T01:23:00.0945818Z Running test_ao_sparsity ... [2022-11-23 01:23:00.094214] 2022-11-23T01:23:00.0947483Z Executing ['/opt/conda/bin/python', '-bb', 'test_ao_sparsity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:00.094504] 2022-11-23T01:23:07.1736717Z 2022-11-23T01:23:07.1737613Z Expand the folded group to see the log file of test_ao_sparsity 2022-11-23T01:23:07.1738856Z ##[group]PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_y2ajiog9) 2022-11-23T01:23:07.1739155Z 2022-11-23T01:23:07.1739254Z Running tests... 2022-11-23T01:23:07.1739918Z ---------------------------------------------------------------------- 2022-11-23T01:23:07.1746809Z Test results will be stored in test-reports/python-unittest/test_ao_sparsity 2022-11-23T01:23:07.1747504Z test_activation_sparsifier (ao.sparsity.test_activation_sparsifier.TestActivationSparsifier) 2022-11-23T01:23:07.1748220Z Simulates the workflow of the activation sparsifier, starting from object creation ... ok (0.316s) 2022-11-23T01:23:07.1748858Z test_constructor (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) 2022-11-23T01:23:07.1749631Z Checks if the warning is thrown if the scheduler step is called ... ok (0.002s) 2022-11-23T01:23:07.1750280Z test_order_of_steps (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.007s) 2022-11-23T01:23:07.1750945Z test_state_dict (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.004s) 2022-11-23T01:23:07.1751608Z test_step (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.010s) 2022-11-23T01:23:07.1753084Z test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name? 2022-11-23T01:23:07.1754276Z warnings.warn("Replacing existing data of the same name. - Did you mean a different name?") 2022-11-23T01:23:07.1754736Z ok (0.022s) 2022-11-23T01:23:07.1755346Z test_nn_parameters (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... ok (0.017s) 2022-11-23T01:23:07.1756036Z test_tensors (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... ok (0.016s) 2022-11-23T01:23:07.1756674Z test_constructor (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.003s) 2022-11-23T01:23:07.1757274Z test_prepare_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.010s) 2022-11-23T01:23:07.1757852Z test_prepare_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.004s) 2022-11-23T01:23:07.1758451Z test_squash_mask_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.011s) 2022-11-23T01:23:07.1759057Z test_squash_mask_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.004s) 2022-11-23T01:23:07.1759655Z test_step_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.011s) 2022-11-23T01:23:07.1760216Z test_step_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.006s) 2022-11-23T01:23:07.1760928Z test_constructor (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1761591Z test_mask_squash (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.001s) 2022-11-23T01:23:07.1762252Z test_mask_squash_with_params1 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1762940Z test_mask_squash_with_params2 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1763627Z test_mask_squash_with_params3 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1764298Z test_prepare_config (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1765092Z test_state_dict (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.004s) 2022-11-23T01:23:07.1765725Z test_step (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.001s) 2022-11-23T01:23:07.1767408Z test_convert_without_squash_mask (ao.sparsity.test_composability.TestComposability) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-11-23T01:23:07.1768333Z warnings.warn( 2022-11-23T01:23:07.1768620Z ok (0.273s) 2022-11-23T01:23:07.1769126Z test_fusion_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.275s) 2022-11-23T01:23:07.1769825Z test_q_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.271s) 2022-11-23T01:23:07.1770512Z test_qat_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.009s) 2022-11-23T01:23:07.1771214Z test_s_prep_before_fusion (ao.sparsity.test_composability.TestComposability) ... ok (0.274s) 2022-11-23T01:23:07.1771903Z test_s_prep_before_q_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.274s) 2022-11-23T01:23:07.1772603Z test_s_prep_before_qat_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.011s) 2022-11-23T01:23:07.1773342Z test_constructor (ao.sparsity.test_scheduler.TestCubicScheduler) ... ok (0.003s) 2022-11-23T01:23:07.1774891Z test_step (ao.sparsity.test_scheduler.TestCubicScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/scheduler/base_scheduler.py:125: UserWarning: Detected call of `scheduler.step()` before `sparsifier.step()`. You have to make sure you run the sparsifier.step() BEFORE any calls to the scheduer.step(). 2022-11-23T01:23:07.1775969Z warnings.warn("Detected call of `scheduler.step()` before `sparsifier.step()`. " 2022-11-23T01:23:07.1776413Z ok (0.002s) 2022-11-23T01:23:07.1776879Z test_jit_trace (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.085s) 2022-11-23T01:23:07.1777552Z test_masking_logic (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.002s) 2022-11-23T01:23:07.1778254Z test_state_dict_preserved (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.005s) 2022-11-23T01:23:07.1778960Z test_weights_parametrized (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.002s) 2022-11-23T01:23:07.1779826Z test_q_prep_fx_before_s_prep (ao.sparsity.test_composability.TestFxComposability) 2022-11-23T01:23:07.1780650Z This test checks that the ordering of prepare_fx -> sparse prepare -> convert_fx ... ok (0.292s) 2022-11-23T01:23:07.1781315Z test_q_prep_fx_s_prep_ref_conv (ao.sparsity.test_composability.TestFxComposability) 2022-11-23T01:23:07.1782141Z This checks that the ordering: prepare_fx -> sparse prepare -> convert_to_reference_fx ... ok (0.288s) 2022-11-23T01:23:07.1782821Z test_s_prep_before_q_prep_fx (ao.sparsity.test_composability.TestFxComposability) 2022-11-23T01:23:07.1783633Z This test checks that the ordering of sparse prepare -> prepare_fx -> convert_fx ... ok (0.288s) 2022-11-23T01:23:07.1784275Z test_s_prep_before_qat_prep_fx (ao.sparsity.test_composability.TestFxComposability) 2022-11-23T01:23:07.1785102Z This test checks that the ordering of sparse prepare -> prepare_qat_fx -> convert_fx ... ok (0.026s) 2022-11-23T01:23:07.1785760Z test_s_prep_q_prep_fx_ref (ao.sparsity.test_composability.TestFxComposability) 2022-11-23T01:23:07.1786586Z This checks that the ordering: sparse prepare -> prepare_fx -> convert_to_reference_fx ... ok (0.286s) 2022-11-23T01:23:07.1787281Z test_constructor (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1788025Z test_mask_squash (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.003s) 2022-11-23T01:23:07.1788755Z test_prepare (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1789507Z test_sparsity_levels (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.447s) 2022-11-23T01:23:07.1790221Z test_step (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.296s) 2022-11-23T01:23:07.1790753Z test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.216s) 2022-11-23T01:23:07.1791158Z test_nn_parameters (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.206s) 2022-11-23T01:23:07.1791740Z test_tensors (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.201s) 2022-11-23T01:23:07.1792116Z test_ptq_quantize_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils) 2022-11-23T01:23:07.1792454Z The expectation is post_training_sparse_quantize function ... ok (0.009s) 2022-11-23T01:23:07.1792793Z test_ptq_sparsify_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils) 2022-11-23T01:23:07.1793111Z The expectation is post_training_sparse_quantize function ... ok (0.006s) 2022-11-23T01:23:07.1793664Z test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseKernels) ... 2022-11-23 01:23:06,204 - root - INFO - static sparse qlinear is only available in fbgemm 2022-11-23T01:23:07.1794146Z 2022-11-23 01:23:06,235 - root - INFO - static sparse qlinear is only available in fbgemm 2022-11-23T01:23:07.1794570Z 2022-11-23 01:23:06,235 - root - INFO - dynamic sparse qlinear is only available in qnnpack 2022-11-23T01:23:07.1794958Z 2022-11-23 01:23:06,236 - root - INFO - dynamic sparse qlinear is only available in qnnpack 2022-11-23T01:23:07.1795197Z ok (0.061s) 2022-11-23T01:23:07.1795796Z test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:23:07.1796212Z warnings.warn( 2022-11-23T01:23:07.1796558Z [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator()) 2022-11-23T01:23:07.1797163Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:303: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:23:07.1797490Z warnings.warn( 2022-11-23T01:23:07.1797649Z ok (0.059s) 2022-11-23T01:23:07.1797934Z test_sparse_qlinear_serdes (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... ok (0.086s) 2022-11-23T01:23:07.1798296Z test_constructor (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s) 2022-11-23T01:23:07.1798616Z test_lambda_scheduler (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s) 2022-11-23T01:23:07.1798935Z test_order_of_steps (ao.sparsity.test_scheduler.TestScheduler) 2022-11-23T01:23:07.1799244Z Checks if the warning is thrown if the scheduler step is called ... ok (0.005s) 2022-11-23T01:23:07.1799551Z test_step (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s) 2022-11-23T01:23:07.1799871Z test_fqn_to_module (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1800186Z Tests that fqn_to_module operates as inverse ... ok (0.005s) 2022-11-23T01:23:07.1800596Z test_fqn_to_module_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1800911Z Tests that fqn_to_module returns None when it tries to ... ok (0.002s) 2022-11-23T01:23:07.1801242Z test_fqn_to_module_for_tensors (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1801594Z Tests that fqn_to_module works for tensors, actually all parameters ... ok (0.005s) 2022-11-23T01:23:07.1801968Z test_get_arg_info_from_tensor_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1802312Z Tests that get_arg_info_from_tensor_fqn works for all parameters of the model. ... ok (0.005s) 2022-11-23T01:23:07.1802680Z test_get_arg_info_from_tensor_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1803042Z Tests that get_arg_info_from_tensor_fqn works as expected for invalid tensor_fqn ... ok (0.003s) 2022-11-23T01:23:07.1803371Z test_module_to_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1803710Z Tests that module_to_fqn works as expected when compared to known good ... ok (0.003s) 2022-11-23T01:23:07.1804054Z test_module_to_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1804496Z Tests that module_to_fqn returns None when an fqn that doesn't ... ok (0.002s) 2022-11-23T01:23:07.1804960Z test_module_to_fqn_root (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions) 2022-11-23T01:23:07.1805403Z Tests that module_to_fqn returns '' when model and target module are the same ... ok (0.002s) 2022-11-23T01:23:07.1805759Z test_constructor (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1806127Z test_mask_squash (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1806501Z test_prepare (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.002s) 2022-11-23T01:23:07.1806880Z test_sparsity_levels (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.029s) 2022-11-23T01:23:07.1807252Z test_step (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.235s) 2022-11-23T01:23:07.1807677Z test_step_2_of_4 (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.014s) 2022-11-23T01:23:07.1807877Z 2022-11-23T01:23:07.1808086Z ---------------------------------------------------------------------- 2022-11-23T01:23:07.1808329Z Ran 72 tests in 5.043s 2022-11-23T01:23:07.1808446Z 2022-11-23T01:23:07.1808506Z OK 2022-11-23T01:23:07.1808584Z 2022-11-23T01:23:07.1808668Z Generating XML reports... 2022-11-23T01:23:07.1809185Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_activation_sparsifier.TestActivationSparsifier-20221123012301.xml 2022-11-23T01:23:07.1809860Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_scheduler.TestBaseDataScheduler-20221123012301.xml 2022-11-23T01:23:07.1810501Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier-20221123012301.xml 2022-11-23T01:23:07.1811131Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_pruner.TestBasePruner-20221123012301.xml 2022-11-23T01:23:07.1811737Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20221123012301.xml 2022-11-23T01:23:07.1812373Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20221123012301.xml 2022-11-23T01:23:07.1812981Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20221123012301.xml 2022-11-23T01:23:07.1813607Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20221123012301.xml 2022-11-23T01:23:07.1814254Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestFxComposability-20221123012301.xml 2022-11-23T01:23:07.1814928Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier-20221123012301.xml 2022-11-23T01:23:07.1815612Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers-20221123012301.xml 2022-11-23T01:23:07.1816263Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestQuantizationUtils-20221123012301.xml 2022-11-23T01:23:07.1816918Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseKernels-20221123012301.xml 2022-11-23T01:23:07.1817560Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseLayers-20221123012301.xml 2022-11-23T01:23:07.1818176Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestScheduler-20221123012301.xml 2022-11-23T01:23:07.1818793Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions-20221123012301.xml 2022-11-23T01:23:07.1819499Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestWeightNormSparsifier-20221123012301.xml 2022-11-23T01:23:07.1819791Z 2022-11-23T01:23:07.1820118Z ##[endgroup] 2022-11-23T01:23:07.1820493Z FINISHED PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_y2ajiog9) 2022-11-23T01:23:07.1820712Z 2022-11-23T01:23:09.1491011Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:09.2270042Z Ignoring disabled issues: [] 2022-11-23T01:23:09.2422545Z Running test_autocast ... [2022-11-23 01:23:09.241968] 2022-11-23T01:23:09.2424878Z Executing ['/opt/conda/bin/python', '-bb', 'test_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:09.242236] 2022-11-23T01:23:11.3712599Z 2022-11-23T01:23:11.3713158Z Expand the folded group to see the log file of test_autocast 2022-11-23T01:23:11.3714642Z ##[group]PRINTING LOG FILE of test_autocast (/var/lib/jenkins/workspace/test/test-reports/test_autocast_2ifm1l4a) 2022-11-23T01:23:11.3715148Z 2022-11-23T01:23:11.3715264Z Running tests... 2022-11-23T01:23:11.3715955Z ---------------------------------------------------------------------- 2022-11-23T01:23:11.3716632Z Test results will be stored in test-reports/python-unittest/test_autocast 2022-11-23T01:23:11.3717232Z test_autocast_methods_expect_builtin_promote (__main__.TestAutocastCPU) ... ok (0.251s) 2022-11-23T01:23:11.3717764Z test_autocast_nn_bf16 (__main__.TestAutocastCPU) ... ok (0.006s) 2022-11-23T01:23:11.3718102Z test_autocast_nn_fp32 (__main__.TestAutocastCPU) ... ok (0.008s) 2022-11-23T01:23:11.3718384Z test_autocast_torch_bf16 (__main__.TestAutocastCPU) ... ok (0.017s) 2022-11-23T01:23:11.3718676Z test_autocast_torch_expect_builtin_promote (__main__.TestAutocastCPU) ... ok (0.007s) 2022-11-23T01:23:11.3718984Z test_autocast_torch_fp32 (__main__.TestAutocastCPU) ... ok (0.070s) 2022-11-23T01:23:11.3719292Z test_autocast_torch_need_autocast_promote (__main__.TestAutocastCPU) ... ok (0.006s) 2022-11-23T01:23:11.3719571Z test_cast_cache_is_global (__main__.TestAutocastGPU) 2022-11-23T01:23:11.3719872Z Verifies that the autocast cache is global. This is done by ... skip: requires cuda (0.001s) 2022-11-23T01:23:11.3720187Z test_autocast_fast_dtype (__main__.TestTorchAutocast) ... ok (0.001s) 2022-11-23T01:23:11.3720426Z 2022-11-23T01:23:11.3720629Z ---------------------------------------------------------------------- 2022-11-23T01:23:11.3720857Z Ran 9 tests in 0.368s 2022-11-23T01:23:11.3720967Z 2022-11-23T01:23:11.3721038Z OK (skipped=1) 2022-11-23T01:23:11.3721164Z 2022-11-23T01:23:11.3721247Z Generating XML reports... 2022-11-23T01:23:11.3721645Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestAutocastCPU-20221123012310.xml 2022-11-23T01:23:11.3722157Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestTorchAutocast-20221123012310.xml 2022-11-23T01:23:11.3722660Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestAutocastGPU-20221123012310.xml 2022-11-23T01:23:11.3722886Z 2022-11-23T01:23:11.3723121Z ##[endgroup] 2022-11-23T01:23:11.3723484Z FINISHED PRINTING LOG FILE of test_autocast (/var/lib/jenkins/workspace/test/test-reports/test_autocast_2ifm1l4a) 2022-11-23T01:23:11.3723697Z 2022-11-23T01:23:13.3613907Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:13.4389031Z Ignoring disabled issues: [] 2022-11-23T01:23:13.4543792Z Running test_binary_ufuncs ... [2022-11-23 01:23:13.454021] 2022-11-23T01:23:13.4545132Z Executing ['/opt/conda/bin/python', '-bb', 'test_binary_ufuncs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:13.454298] 2022-11-23T01:23:16.2077048Z 2022-11-23T01:23:16.2077597Z Expand the folded group to see the log file of test_binary_ufuncs 2022-11-23T01:23:16.2080007Z ##[group]PRINTING LOG FILE of test_binary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_binary_ufuncs_g0xmc_8n) 2022-11-23T01:23:16.2080488Z 2022-11-23T01:23:16.2080650Z Running tests... 2022-11-23T01:23:16.2081319Z ---------------------------------------------------------------------- 2022-11-23T01:23:16.2081635Z 2022-11-23T01:23:16.2081917Z ---------------------------------------------------------------------- 2022-11-23T01:23:16.2082154Z Ran 0 tests in 0.000s 2022-11-23T01:23:16.2082268Z 2022-11-23T01:23:16.2082328Z OK 2022-11-23T01:23:16.2082419Z 2022-11-23T01:23:16.2082505Z Generating XML reports... 2022-11-23T01:23:16.2082830Z Test results will be stored in test-reports/python-unittest/test_binary_ufuncs 2022-11-23T01:23:16.2083015Z 2022-11-23T01:23:16.2083248Z ##[endgroup] 2022-11-23T01:23:16.2083642Z FINISHED PRINTING LOG FILE of test_binary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_binary_ufuncs_g0xmc_8n) 2022-11-23T01:23:16.2083943Z 2022-11-23T01:23:18.1965800Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:18.2759270Z Ignoring disabled issues: [] 2022-11-23T01:23:18.2923194Z Running test_bundled_inputs ... [2022-11-23 01:23:18.291978] 2022-11-23T01:23:18.2924452Z Executing ['/opt/conda/bin/python', '-bb', 'test_bundled_inputs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:18.292254] 2022-11-23T01:23:21.2049129Z 2022-11-23T01:23:21.2049684Z Expand the folded group to see the log file of test_bundled_inputs 2022-11-23T01:23:21.2050598Z ##[group]PRINTING LOG FILE of test_bundled_inputs (/var/lib/jenkins/workspace/test/test-reports/test_bundled_inputs_pro1854y) 2022-11-23T01:23:21.2051042Z 2022-11-23T01:23:21.2051172Z Running tests... 2022-11-23T01:23:21.2051830Z ---------------------------------------------------------------------- 2022-11-23T01:23:21.2052540Z Test results will be stored in test-reports/python-unittest/test_bundled_inputs 2022-11-23T01:23:21.2052941Z test_bad_inputs (__main__.TestBundledInputs) ... ok (0.253s) 2022-11-23T01:23:21.2053664Z test_dict_args (__main__.TestBundledInputs) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:23:21.2054148Z warnings.warn(message, UserWarning) 2022-11-23T01:23:21.2054344Z ok (0.611s) 2022-11-23T01:23:21.2054575Z test_double_augment_fail (__main__.TestBundledInputs) ... ok (0.007s) 2022-11-23T01:23:21.2054863Z test_double_augment_non_mutator (__main__.TestBundledInputs) ... ok (0.007s) 2022-11-23T01:23:21.2055171Z test_double_augment_success (__main__.TestBundledInputs) ... ok (0.009s) 2022-11-23T01:23:21.2055477Z test_large_tensor_with_inflation (__main__.TestBundledInputs) ... ok (0.011s) 2022-11-23T01:23:21.2055774Z test_multiple_methods_with_inputs (__main__.TestBundledInputs) ... ok (0.046s) 2022-11-23T01:23:21.2056110Z test_multiple_methods_with_inputs_both_defined_failure (__main__.TestBundledInputs) ... ok (0.005s) 2022-11-23T01:23:21.2056474Z test_multiple_methods_with_inputs_neither_defined_failure (__main__.TestBundledInputs) ... ok (0.004s) 2022-11-23T01:23:21.2056786Z test_non_tensors (__main__.TestBundledInputs) ... ok (0.008s) 2022-11-23T01:23:21.2057050Z test_rejected_tensors (__main__.TestBundledInputs) ... ok (0.008s) 2022-11-23T01:23:21.2057332Z test_single_tensors (__main__.TestBundledInputs) ... ok (0.048s) 2022-11-23T01:23:21.2057489Z 2022-11-23T01:23:21.2057689Z ---------------------------------------------------------------------- 2022-11-23T01:23:21.2058082Z Ran 12 tests in 1.019s 2022-11-23T01:23:21.2058197Z 2022-11-23T01:23:21.2058256Z OK 2022-11-23T01:23:21.2058347Z 2022-11-23T01:23:21.2058455Z Generating XML reports... 2022-11-23T01:23:21.2058877Z Generated XML report: test-reports/python-unittest/test_bundled_inputs/TEST-TestBundledInputs-20221123012319.xml 2022-11-23T01:23:21.2059109Z 2022-11-23T01:23:21.2059369Z ##[endgroup] 2022-11-23T01:23:21.2059976Z FINISHED PRINTING LOG FILE of test_bundled_inputs (/var/lib/jenkins/workspace/test/test-reports/test_bundled_inputs_pro1854y) 2022-11-23T01:23:21.2060202Z 2022-11-23T01:23:23.2474031Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:23.3282606Z Ignoring disabled issues: [] 2022-11-23T01:23:23.3441068Z Running test_comparison_utils ... [2022-11-23 01:23:23.343606] 2022-11-23T01:23:23.3442603Z Executing ['/opt/conda/bin/python', '-bb', 'test_comparison_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:23.343920] 2022-11-23T01:23:25.0858338Z 2022-11-23T01:23:25.0859238Z Expand the folded group to see the log file of test_comparison_utils 2022-11-23T01:23:25.0860633Z ##[group]PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils_5v5a_ur7) 2022-11-23T01:23:25.0861482Z 2022-11-23T01:23:25.0861970Z ##[endgroup] 2022-11-23T01:23:25.0863077Z FINISHED PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils_5v5a_ur7) 2022-11-23T01:23:25.0863641Z 2022-11-23T01:23:27.1393086Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:27.2195495Z Ignoring disabled issues: [] 2022-11-23T01:23:27.2350122Z Running test_complex ... [2022-11-23 01:23:27.234667] 2022-11-23T01:23:27.2351365Z Executing ['/opt/conda/bin/python', '-bb', 'test_complex.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:27.234942] 2022-11-23T01:23:29.3829717Z 2022-11-23T01:23:29.3830274Z Expand the folded group to see the log file of test_complex 2022-11-23T01:23:29.3831273Z ##[group]PRINTING LOG FILE of test_complex (/var/lib/jenkins/workspace/test/test-reports/test_complex_wpyedoql) 2022-11-23T01:23:29.3831634Z 2022-11-23T01:23:29.3831769Z Running tests... 2022-11-23T01:23:29.3833320Z ---------------------------------------------------------------------- 2022-11-23T01:23:29.3833608Z 2022-11-23T01:23:29.3833924Z ---------------------------------------------------------------------- 2022-11-23T01:23:29.3834363Z Ran 0 tests in 0.000s 2022-11-23T01:23:29.3834564Z 2022-11-23T01:23:29.3834673Z OK 2022-11-23T01:23:29.3834830Z 2022-11-23T01:23:29.3834980Z Generating XML reports... 2022-11-23T01:23:29.3835505Z Test results will be stored in test-reports/python-unittest/test_complex 2022-11-23T01:23:29.3835794Z 2022-11-23T01:23:29.3836202Z ##[endgroup] 2022-11-23T01:23:29.3836816Z FINISHED PRINTING LOG FILE of test_complex (/var/lib/jenkins/workspace/test/test-reports/test_complex_wpyedoql) 2022-11-23T01:23:29.3837169Z 2022-11-23T01:23:31.4944473Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:31.5756336Z Ignoring disabled issues: [] 2022-11-23T01:23:31.5912194Z Running test_cuda_sanitizer ... [2022-11-23 01:23:31.590845] 2022-11-23T01:23:31.5913595Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_sanitizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:31.591150] 2022-11-23T01:23:34.1469776Z 2022-11-23T01:23:34.1470319Z Expand the folded group to see the log file of test_cuda_sanitizer 2022-11-23T01:23:34.1471300Z ##[group]PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_61rwwys8) 2022-11-23T01:23:34.1471778Z CUDA not available, skipping tests 2022-11-23T01:23:34.1471972Z 2022-11-23T01:23:34.1472088Z Running tests... 2022-11-23T01:23:34.1472673Z ---------------------------------------------------------------------- 2022-11-23T01:23:34.1472974Z 2022-11-23T01:23:34.1473328Z ---------------------------------------------------------------------- 2022-11-23T01:23:34.1473743Z Ran 0 tests in 0.000s 2022-11-23T01:23:34.1473929Z 2022-11-23T01:23:34.1474021Z OK 2022-11-23T01:23:34.1474173Z 2022-11-23T01:23:34.1474329Z Generating XML reports... 2022-11-23T01:23:34.1474969Z Test results will be stored in test-reports/python-unittest/test_cuda_sanitizer 2022-11-23T01:23:34.1475214Z 2022-11-23T01:23:34.1475462Z ##[endgroup] 2022-11-23T01:23:34.1476056Z FINISHED PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_61rwwys8) 2022-11-23T01:23:34.1476270Z 2022-11-23T01:23:36.7828352Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:23:36.8927269Z Ignoring disabled issues: [] 2022-11-23T01:23:36.9197952Z Running test_dataloader ... [2022-11-23 01:23:36.919309] 2022-11-23T01:23:36.9199907Z Executing ['/opt/conda/bin/python', '-bb', 'test_dataloader.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:36.919712] 2022-11-23T01:24:24.1432718Z 2022-11-23T01:24:24.1433235Z Expand the folded group to see the log file of test_dataloader 2022-11-23T01:24:24.1435221Z ##[group]PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_7aw9bqm2) 2022-11-23T01:24:24.1435939Z 2022-11-23T01:24:24.1436085Z Running tests... 2022-11-23T01:24:24.1436729Z ---------------------------------------------------------------------- 2022-11-23T01:24:24.1437441Z Test results will be stored in test-reports/python-unittest/test_dataloader 2022-11-23T01:24:24.1438053Z test_shuffler_iterdatapipe (__main__.IntegrationTestDataLoaderDataPipe) 2022-11-23T01:24:24.1482205Z Verify ``IterDataPipe.shuffle`` is controlled by ``DataLoader`` ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:24:24.1483110Z test_add_dataset (__main__.TestConcatDataset) ... ok (0.246s) 2022-11-23T01:24:24.1484045Z test_concat_raises_index_error (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:24:24.1484918Z test_concat_two_non_singletons (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:24:24.1485676Z test_concat_two_non_singletons_with_empty (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:24:24.1486467Z test_concat_two_singletons (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:24:24.1490868Z test_iterable_dataset_err (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:24:24.1492625Z test_conv_after_fork (__main__.TestConvAfterFork) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75492 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:24:24.1493660Z test_custom_batch_pin (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:24:24.1494301Z test_custom_batch_pin_worker (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:24:24.1495325Z test_batch_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1495955Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1496433Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1497026Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1497824Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1498156Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1498574Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1498917Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1499487Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1499809Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1500241Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1500811Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1501251Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1501562Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1501993Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1502333Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1502545Z ok (2.938s) 2022-11-23T01:24:24.1503325Z test_builtin_collection_conversion (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1503962Z test_bulk_loading_nobatch (__main__.TestDataLoader) ... ok (0.079s) 2022-11-23T01:24:24.1504258Z test_chain_iterable_style_dataset (__main__.TestDataLoader) ... ok (0.146s) 2022-11-23T01:24:24.1504563Z test_default_collate_bad_numpy_types (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1504866Z test_default_collate_bad_sequence_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1522391Z test_default_collate_dtype (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1522902Z test_default_collate_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1525304Z test_default_collate_numpy_memmap (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py:172: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-11-23T01:24:24.1526158Z return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map) 2022-11-23T01:24:24.1526406Z ok (0.004s) 2022-11-23T01:24:24.1526661Z test_default_collate_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1527004Z test_default_collate_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1527482Z test_default_collate_shared_tensor (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1528041Z test_default_convert_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1528520Z test_default_convert_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1528871Z test_default_convert_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1529184Z test_distributed_sampler_invalid_rank (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1529496Z test_duplicating_data_with_drop_last (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1529880Z test_error (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1530340Z test_error_in_init (__main__.TestDataLoader) ... ok (0.076s) 2022-11-23T01:24:24.1530830Z test_error_workers (__main__.TestDataLoader) ... ok (0.061s) 2022-11-23T01:24:24.1531337Z test_excessive_thread_creation_warning (__main__.TestDataLoader) ... ok (0.011s) 2022-11-23T01:24:24.1531792Z test_fd_limit_exceeded (__main__.TestDataLoader) ... ok (1.632s) 2022-11-23T01:24:24.1532336Z test_get_worker_info (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1532719Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1533309Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1533667Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1533914Z ok (3.542s) 2022-11-23T01:24:24.1534143Z test_growing_dataset (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1534418Z test_invalid_assign_after_init (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1534722Z test_invalid_ctor_args_combinations (__main__.TestDataLoader) ... ok (0.004s) 2022-11-23T01:24:24.1535570Z test_iterable_style_dataset (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s) 2022-11-23T01:24:24.1536205Z test_iterabledataset_len (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1536724Z test_large_sampler_indices (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1537113Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1537545Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1537898Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1538112Z ok (3.235s) 2022-11-23T01:24:24.1538315Z test_len (__main__.TestDataLoader) ... ok (0.008s) 2022-11-23T01:24:24.1538597Z test_multi_epochs_reproducibility (__main__.TestDataLoader) ... ok (0.111s) 2022-11-23T01:24:24.1539129Z test_multiple_dataloaders (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1539511Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1539939Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1540274Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1540716Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1546142Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1547074Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1547785Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1548393Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1548730Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1549150Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1549494Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1549921Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1550255Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1550665Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1551017Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1551241Z ok (3.406s) 2022-11-23T01:24:24.1552090Z test_multiprocessing_contexts (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1553261Z test_multiprocessing_iterdatapipe (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1554049Z test_no_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1554469Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1554905Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1555249Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1555461Z ok (1.815s) 2022-11-23T01:24:24.1555669Z test_numpy (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1555930Z test_numpy_gen_state (__main__.TestDataLoader) ... ok (0.004s) 2022-11-23T01:24:24.1556186Z test_numpy_scalars (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:24:24.1556443Z test_partial_workers (__main__.TestDataLoader) 2022-11-23T01:24:24.1557256Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1557800Z test_proper_exit (__main__.TestDataLoader) 2022-11-23T01:24:24.1558703Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s) 2022-11-23T01:24:24.1559318Z test_random_sampler (__main__.TestDataLoader) ... ok (0.003s) 2022-11-23T01:24:24.1559612Z test_random_sampler_len_with_replacement (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1559935Z test_random_sampler_len_without_replacement (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1560558Z test_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1560923Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1561359Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1561708Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1562153Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1562470Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1562904Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1563252Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1563672Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1563999Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1564469Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1565055Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1565515Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1565915Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1566577Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1567050Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1567478Z ok (2.441s) 2022-11-23T01:24:24.1567916Z test_sampler_reproducibility (__main__.TestDataLoader) ... ok (0.016s) 2022-11-23T01:24:24.1568845Z test_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1569410Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1570129Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1570742Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1571136Z ok (5.058s) 2022-11-23T01:24:24.1572631Z test_seqential_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1573713Z test_seqential_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.122s) 2022-11-23T01:24:24.1574247Z test_sequential_batch (__main__.TestDataLoader) ... ok (0.042s) 2022-11-23T01:24:24.1574730Z test_sequential_nonbatch (__main__.TestDataLoader) ... ok (0.022s) 2022-11-23T01:24:24.1575282Z test_sequential_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:24:24.1575847Z test_sequential_workers (__main__.TestDataLoader) ... ok (0.156s) 2022-11-23T01:24:24.1576185Z test_shuffle (__main__.TestDataLoader) ... ok (0.072s) 2022-11-23T01:24:24.1576433Z test_shuffle_batch (__main__.TestDataLoader) ... ok (0.054s) 2022-11-23T01:24:24.1576700Z test_shuffle_batch_none (__main__.TestDataLoader) ... ok (0.056s) 2022-11-23T01:24:24.1577526Z test_shuffle_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1578113Z test_shuffle_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.155s) 2022-11-23T01:24:24.1578417Z test_shuffle_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:24:24.1578728Z test_shuffle_reproducibility (__main__.TestDataLoader) ... ok (0.328s) 2022-11-23T01:24:24.1579012Z test_shuffle_workers (__main__.TestDataLoader) ... ok (0.197s) 2022-11-23T01:24:24.1579496Z test_timeout (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1579859Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1580293Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1580643Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1580858Z ok (2.800s) 2022-11-23T01:24:24.1581149Z test_typing (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:24:24.1581952Z test_worker_init_fn (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1583024Z test_worker_seed (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1584145Z test_worker_seed_reproducibility (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1585264Z test_batch_sampler (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70756 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:24:24.1586427Z test_builtin_collection_conversion (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1587594Z test_bulk_loading_nobatch (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1588775Z test_chain_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80757 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1589403Z test_dataset_not_reset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.091s) 2022-11-23T01:24:24.1589771Z test_default_collate_bad_numpy_types (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1590151Z test_default_collate_bad_sequence_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1590512Z test_default_collate_dtype (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1590882Z test_default_collate_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1591256Z test_default_collate_numpy_memmap (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1591639Z test_default_collate_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1592016Z test_default_collate_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1592393Z test_default_collate_shared_tensor (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1592829Z test_default_convert_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1593220Z test_default_convert_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1593599Z test_default_convert_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1593982Z test_distributed_sampler_invalid_rank (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1594369Z test_duplicating_data_with_drop_last (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1595261Z test_early_exit (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74868 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:24:24.1595897Z test_error (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1596224Z test_error_in_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.071s) 2022-11-23T01:24:24.1597242Z test_error_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78017 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1597885Z test_excessive_thread_creation_warning (__main__.TestDataLoaderPersistentWorkers) ... ok (0.007s) 2022-11-23T01:24:24.1598244Z test_fd_limit_exceeded (__main__.TestDataLoaderPersistentWorkers) ... ok (1.674s) 2022-11-23T01:24:24.1598840Z test_get_worker_info (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1599257Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1599691Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1600136Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1600459Z ok (3.728s) 2022-11-23T01:24:24.1600706Z test_growing_dataset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1611753Z test_invalid_assign_after_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1612191Z test_invalid_ctor_args_combinations (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s) 2022-11-23T01:24:24.1613175Z test_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s) 2022-11-23T01:24:24.1613861Z test_iterabledataset_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1614470Z test_large_sampler_indices (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1614886Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1615306Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1615652Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1615875Z ok (3.348s) 2022-11-23T01:24:24.1616121Z test_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.008s) 2022-11-23T01:24:24.1616590Z test_multi_epochs_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.051s) 2022-11-23T01:24:24.1617504Z test_multiple_dataloaders (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70947 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1618661Z test_multiprocessing_contexts (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1619890Z test_multiprocessing_iterdatapipe (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1621043Z test_no_segfault (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70968 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1621633Z test_numpy (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1621955Z test_numpy_gen_state (__main__.TestDataLoaderPersistentWorkers) ... ok (0.004s) 2022-11-23T01:24:24.1622296Z test_numpy_scalars (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1622628Z test_partial_workers (__main__.TestDataLoaderPersistentWorkers) 2022-11-23T01:24:24.1623696Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1624264Z test_proper_exit (__main__.TestDataLoaderPersistentWorkers) 2022-11-23T01:24:24.1625220Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s) 2022-11-23T01:24:24.1625891Z test_random_sampler (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:24:24.1626258Z test_random_sampler_len_with_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1626651Z test_random_sampler_len_without_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1627234Z test_sampler (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1627631Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1628060Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1628411Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1628836Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1629221Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1629651Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1629982Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1630408Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1630733Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1631158Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1631483Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1631943Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1632265Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1632688Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1633014Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1633238Z ok (2.424s) 2022-11-23T01:24:24.1633508Z test_sampler_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.026s) 2022-11-23T01:24:24.1634088Z test_segfault (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:24:24.1634484Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:24:24.1634909Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:24:24.1635255Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:24:24.1635466Z ok (3.444s) 2022-11-23T01:24:24.1636279Z test_seqential_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1636926Z test_seqential_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.121s) 2022-11-23T01:24:24.1637287Z test_sequential_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.042s) 2022-11-23T01:24:24.1637621Z test_sequential_nonbatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.022s) 2022-11-23T01:24:24.1638004Z test_sequential_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:24:24.1638379Z test_sequential_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.169s) 2022-11-23T01:24:24.1638703Z test_shuffle (__main__.TestDataLoaderPersistentWorkers) ... ok (0.064s) 2022-11-23T01:24:24.1639029Z test_shuffle_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.055s) 2022-11-23T01:24:24.1639364Z test_shuffle_batch_none (__main__.TestDataLoaderPersistentWorkers) ... ok (0.057s) 2022-11-23T01:24:24.1640331Z test_shuffle_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1640981Z test_shuffle_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.154s) 2022-11-23T01:24:24.1641358Z test_shuffle_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:24:24.1641772Z test_shuffle_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.266s) 2022-11-23T01:24:24.1642122Z test_shuffle_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.200s) 2022-11-23T01:24:24.1642979Z test_timeout (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68844 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1643562Z test_typing (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:24:24.1644429Z test_worker_init_fn (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1645780Z test_worker_seed (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1646938Z test_worker_seed_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1647558Z test_incomplete_fractional_splits (__main__.TestDatasetRandomSplit) ... ok (0.001s) 2022-11-23T01:24:24.1647897Z test_lengths_must_equal_dataset_size (__main__.TestDatasetRandomSplit) ... ok (0.001s) 2022-11-23T01:24:24.1648212Z test_slicing_of_subset_of_dataset (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:24:24.1648537Z test_slicing_of_subset_of_subset (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:24:24.1648863Z test_splits_are_mutually_exclusive (__main__.TestDatasetRandomSplit) ... ok (0.001s) 2022-11-23T01:24:24.1649167Z test_splits_generator (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:24:24.1649480Z test_splits_have_correct_size (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:24:24.1649783Z test_splits_indexing_type (__main__.TestDatasetRandomSplit) 2022-11-23T01:24:24.1650052Z Indices generated by random_split ... ok (0.003s) 2022-11-23T01:24:24.1650326Z test_splits_reproducibility (__main__.TestDatasetRandomSplit) ... ok (0.008s) 2022-11-23T01:24:24.1650654Z test_pin_memory (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:24:24.1650982Z test_pin_memory_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:24:24.1651313Z test_pin_memory_with_only_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:24:24.1651632Z test_sequential_batch (__main__.TestDictDataLoader) ... ok (0.034s) 2022-11-23T01:24:24.1652490Z test_ind_worker_queue (__main__.TestIndividualWorkerQueue) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68643 for platform(s) macos, linux, win. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:24:24.1653104Z test_dataloader_with_namedtuple (__main__.TestNamedTupleDataLoader) ... ok (0.003s) 2022-11-23T01:24:24.1653506Z test_set_affinity_in_worker_init (__main__.TestSetAffinity) ... ok (0.054s) 2022-11-23T01:24:24.1653815Z test_shuffle_pin_memory (__main__.TestStringDataLoader) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:24:24.1654117Z test_getitem (__main__.TestTensorDataset) ... ok (0.006s) 2022-11-23T01:24:24.1654383Z test_getitem_1d (__main__.TestTensorDataset) ... ok (0.004s) 2022-11-23T01:24:24.1654631Z test_len (__main__.TestTensorDataset) ... ok (0.001s) 2022-11-23T01:24:24.1654895Z test_many_tensors (__main__.TestTensorDataset) ... ok (0.004s) 2022-11-23T01:24:24.1655169Z test_single_tensor (__main__.TestTensorDataset) ... ok (0.001s) 2022-11-23T01:24:24.1655326Z 2022-11-23T01:24:24.1655528Z ---------------------------------------------------------------------- 2022-11-23T01:24:24.1655760Z Ran 164 tests in 45.115s 2022-11-23T01:24:24.1655912Z 2022-11-23T01:24:24.1655984Z OK (skipped=43) 2022-11-23T01:24:24.1656089Z 2022-11-23T01:24:24.1656172Z Generating XML reports... 2022-11-23T01:24:24.1656573Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConcatDataset-20221123012338.xml 2022-11-23T01:24:24.1657084Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoader-20221123012338.xml 2022-11-23T01:24:24.1657642Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoaderPersistentWorkers-20221123012338.xml 2022-11-23T01:24:24.1658215Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDatasetRandomSplit-20221123012338.xml 2022-11-23T01:24:24.1658729Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDictDataLoader-20221123012338.xml 2022-11-23T01:24:24.1659269Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestNamedTupleDataLoader-20221123012338.xml 2022-11-23T01:24:24.1659794Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestSetAffinity-20221123012338.xml 2022-11-23T01:24:24.1660303Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestTensorDataset-20221123012338.xml 2022-11-23T01:24:24.1660875Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-IntegrationTestDataLoaderDataPipe-20221123012338.xml 2022-11-23T01:24:24.1661439Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConvAfterFork-20221123012338.xml 2022-11-23T01:24:24.1661947Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestCustomPinFn-20221123012338.xml 2022-11-23T01:24:24.1662472Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestIndividualWorkerQueue-20221123012338.xml 2022-11-23T01:24:24.1663014Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestStringDataLoader-20221123012338.xml 2022-11-23T01:24:24.1663252Z 2022-11-23T01:24:24.1663620Z ##[endgroup] 2022-11-23T01:24:24.1664009Z FINISHED PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_7aw9bqm2) 2022-11-23T01:24:24.1664215Z 2022-11-23T01:24:26.2912595Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:26.3736938Z Ignoring disabled issues: [] 2022-11-23T01:24:26.4254756Z Running test_datapipe ... [2022-11-23 01:24:26.425152] 2022-11-23T01:24:26.4256495Z Executing ['/opt/conda/bin/python', '-bb', 'test_datapipe.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:26.425436] 2022-11-23T01:24:28.9974608Z 2022-11-23T01:24:28.9975170Z Expand the folded group to see the log file of test_datapipe 2022-11-23T01:24:28.9976285Z ##[group]PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_cov6koro) 2022-11-23T01:24:28.9976647Z 2022-11-23T01:24:28.9976799Z Running tests... 2022-11-23T01:24:28.9977491Z ---------------------------------------------------------------------- 2022-11-23T01:24:28.9978387Z test_basic_capture (__main__.TestCaptureDataFrame) ... Test results will be stored in test-reports/python-unittest/test_datapipe 2022-11-23T01:24:28.9979227Z skip: no dataframes (pandas) (0.000s) 2022-11-23T01:24:28.9979760Z test_circular_serialization_with_dill (__main__.TestCircularSerialization) ... skip: no dill (0.001s) 2022-11-23T01:24:28.9981286Z test_circular_serialization_with_pickle (__main__.TestCircularSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-11-23T01:24:28.9982367Z warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting " 2022-11-23T01:24:28.9982840Z ok (0.266s) 2022-11-23T01:24:28.9983204Z test_as_string (__main__.TestDataChunk) ... ok (0.001s) 2022-11-23T01:24:28.9983626Z test_getitem (__main__.TestDataChunk) ... ok (0.001s) 2022-11-23T01:24:28.9984063Z test_iter (__main__.TestDataChunk) ... ok (0.001s) 2022-11-23T01:24:28.9984376Z test_len (__main__.TestDataChunk) ... ok (0.000s) 2022-11-23T01:24:28.9984766Z test_random_shuffle (__main__.TestDataChunk) ... ok (0.001s) 2022-11-23T01:24:28.9985043Z test_reverse (__main__.TestDataChunk) ... ok (0.001s) 2022-11-23T01:24:28.9985285Z test_sort (__main__.TestDataChunk) ... ok (0.001s) 2022-11-23T01:24:28.9985565Z test_batch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-11-23T01:24:28.9985901Z test_capture (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-11-23T01:24:28.9986235Z test_collate (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s) 2022-11-23T01:24:28.9986554Z test_filter (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-11-23T01:24:28.9986879Z test_shuffle (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-11-23T01:24:28.9987207Z test_unbatch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s) 2022-11-23T01:24:28.9987539Z test_batch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s) 2022-11-23T01:24:28.9988288Z test_collate_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:28.9988742Z warnings.warn( 2022-11-23T01:24:28.9988916Z ok (0.005s) 2022-11-23T01:24:28.9989226Z test_concat_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s) 2022-11-23T01:24:28.9989954Z test_demux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:28.9990392Z warnings.warn( 2022-11-23T01:24:28.9990921Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:28.9991287Z warnings.warn( 2022-11-23T01:24:28.9991790Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:28.9992157Z warnings.warn( 2022-11-23T01:24:28.9992671Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:28.9993036Z warnings.warn( 2022-11-23T01:24:28.9993191Z ok (0.009s) 2022-11-23T01:24:28.9993436Z test_filter_datapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.006s) 2022-11-23T01:24:28.9993765Z test_fork_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.011s) 2022-11-23T01:24:28.9994175Z test_iterable_wrapper_datapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s) 2022-11-23T01:24:28.9994537Z test_map_dict_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.018s) 2022-11-23T01:24:28.9995263Z test_map_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:28.9995706Z warnings.warn( 2022-11-23T01:24:28.9995864Z ok (0.005s) 2022-11-23T01:24:28.9996138Z test_map_tuple_list_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.034s) 2022-11-23T01:24:28.9996492Z test_mux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s) 2022-11-23T01:24:28.9996872Z test_sampler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.001s) 2022-11-23T01:24:28.9997632Z test_serializable (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-11-23T01:24:28.9998199Z warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting " 2022-11-23T01:24:28.9998875Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-11-23T01:24:28.9999371Z warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting " 2022-11-23T01:24:28.9999613Z ok (0.040s) 2022-11-23T01:24:28.9999862Z test_serializable_with_dill (__main__.TestFunctionalIterDataPipe) 2022-11-23T01:24:29.0000165Z Only for DataPipes that take in a function as argument ... ok (0.019s) 2022-11-23T01:24:29.0000655Z test_shuffler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.006s) 2022-11-23T01:24:29.0000985Z test_stream_reader_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s) 2022-11-23T01:24:29.0001331Z test_unbatch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.004s) 2022-11-23T01:24:29.0001659Z test_zip_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s) 2022-11-23T01:24:29.0001979Z test_batch_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.003s) 2022-11-23T01:24:29.0002350Z test_concat_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.002s) 2022-11-23T01:24:29.0003191Z test_map_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:29.0003677Z warnings.warn( 2022-11-23T01:24:29.0003841Z ok (0.003s) 2022-11-23T01:24:29.0004157Z test_sequence_wrapper_datapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.002s) 2022-11-23T01:24:29.0004485Z test_serializable (__main__.TestFunctionalMapDataPipe) ... ok (0.009s) 2022-11-23T01:24:29.0005032Z test_serializable_with_dill (__main__.TestFunctionalMapDataPipe) 2022-11-23T01:24:29.0005346Z Only for DataPipes that take in a function as argument ... ok (0.006s) 2022-11-23T01:24:29.0005824Z test_shuffler_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.004s) 2022-11-23T01:24:29.0006355Z test_zip_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.002s) 2022-11-23T01:24:29.0007828Z test_simple_traverse (__main__.TestGraph) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:29.0008611Z warnings.warn( 2022-11-23T01:24:29.0008911Z ok (0.002s) 2022-11-23T01:24:29.0009462Z test_traverse_circular_datapipe (__main__.TestGraph) ... ok (0.001s) 2022-11-23T01:24:29.0009921Z test_traverse_forked (__main__.TestGraph) ... ok (0.003s) 2022-11-23T01:24:29.0010188Z test_traverse_mapdatapipe (__main__.TestGraph) ... ok (0.002s) 2022-11-23T01:24:29.0010461Z test_traverse_mixdatapipe (__main__.TestGraph) ... ok (0.001s) 2022-11-23T01:24:29.0010736Z test_traverse_unhashable_datapipe (__main__.TestGraph) ... ok (0.001s) 2022-11-23T01:24:29.0011104Z test_iterdatapipe_sample_yielded_generator_function (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s) 2022-11-23T01:24:29.0011559Z test_iterdatapipe_sample_yielded_generator_function_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.002s) 2022-11-23T01:24:29.0012057Z test_iterdatapipe_sample_yielded_next (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s) 2022-11-23T01:24:29.0012536Z test_iterdatapipe_sample_yielded_next_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s) 2022-11-23T01:24:29.0012955Z test_iterdatapipe_sample_yielded_return_self (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s) 2022-11-23T01:24:29.0013357Z test_simple_snapshot_custom_non_generator (__main__.TestIterDataPipeGraphFastForward) ... ok (0.001s) 2022-11-23T01:24:29.0013736Z test_simple_snapshot_custom_self_next (__main__.TestIterDataPipeGraphFastForward) ... ok (0.001s) 2022-11-23T01:24:29.0014106Z test_simple_snapshot_graph (__main__.TestIterDataPipeGraphFastForward) ... ok (0.013s) 2022-11-23T01:24:29.0014947Z test_simple_snapshot_graph_repeated (__main__.TestIterDataPipeGraphFastForward) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again. 2022-11-23T01:24:29.0015548Z warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting " 2022-11-23T01:24:29.0015791Z ok (0.005s) 2022-11-23T01:24:29.0016082Z test_simple_snapshot_graph_with_serialization (__main__.TestIterDataPipeGraphFastForward) ... ok (0.011s) 2022-11-23T01:24:29.0016477Z test_iterdatapipe_singleton_buggy (__main__.TestIterDataPipeSingletonConstraint) 2022-11-23T01:24:29.0016921Z Buggy test case case where IterDataPipe's `__iter__` returns a new object, but also has ... ok (0.003s) 2022-11-23T01:24:29.0017299Z test_iterdatapipe_singleton_constraint_multiple_outputs (__main__.TestIterDataPipeSingletonConstraint) 2022-11-23T01:24:29.0017687Z Testing for the case where IterDataPipe has multiple child DataPipes as outputs. ... ok (0.006s) 2022-11-23T01:24:29.0018051Z test_iterdatapipe_singleton_generator (__main__.TestIterDataPipeSingletonConstraint) 2022-11-23T01:24:29.0018473Z Testing for the case where IterDataPipe's `__iter__` is a generator function. ... ok (0.003s) 2022-11-23T01:24:29.0018828Z test_iterdatapipe_singleton_new_object (__main__.TestIterDataPipeSingletonConstraint) 2022-11-23T01:24:29.0019343Z Testing for the case where IterDataPipe's `__iter__` isn't a generator nor returns `self`, ... ok (0.002s) 2022-11-23T01:24:29.0019704Z test_iterdatapipe_singleton_self_next (__main__.TestIterDataPipeSingletonConstraint) 2022-11-23T01:24:29.0020150Z Testing for the case where IterDataPipe's `__iter__` returns `self` and there is a `__next__` method ... ok (0.003s) 2022-11-23T01:24:29.0020882Z test_demux_mux_datapipe (__main__.TestIterableDataPipeBasic) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead. 2022-11-23T01:24:29.0021323Z warnings.warn( 2022-11-23T01:24:29.0021492Z ok (0.005s) 2022-11-23T01:24:29.0021737Z test_groupby_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.008s) 2022-11-23T01:24:29.0022125Z test_listdirfiles_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.004s) 2022-11-23T01:24:29.0022503Z test_listdirfilesdeterministic_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.003s) 2022-11-23T01:24:29.0022869Z test_map_with_col_file_handle_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.005s) 2022-11-23T01:24:29.0023231Z test_openfilesfromdisk_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.006s) 2022-11-23T01:24:29.0023592Z test_routeddecoder_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.004s) 2022-11-23T01:24:29.0023965Z test_spawn_lambdas_iter (__main__.TestSerialization) ... skip: no dill (0.000s) 2022-11-23T01:24:29.0024261Z test_spawn_lambdas_map (__main__.TestSerialization) ... skip: no dill (0.000s) 2022-11-23T01:24:29.0024545Z test_old_dataloader (__main__.TestSharding) ... ok (0.049s) 2022-11-23T01:24:29.0024960Z test_sharding_groups (__main__.TestSharding) ... /var/lib/jenkins/workspace/test/test_datapipe.py:2692: DeprecationWarning: Please use assertEqual instead. 2022-11-23T01:24:29.0025302Z self.assertEquals(expected, actual) 2022-11-23T01:24:29.0025603Z /var/lib/jenkins/workspace/test/test_datapipe.py:2693: DeprecationWarning: Please use assertEqual instead. 2022-11-23T01:24:29.0025900Z self.assertEquals(3, len(dp)) 2022-11-23T01:24:29.0026088Z ok (0.002s) 2022-11-23T01:24:29.0026290Z test_sharding_length (__main__.TestSharding) ... ok (0.002s) 2022-11-23T01:24:29.0026556Z test_simple_sharding (__main__.TestSharding) ... ok (0.003s) 2022-11-23T01:24:29.0026815Z test_api (__main__.TestStreamWrapper) ... ok (0.001s) 2022-11-23T01:24:29.0027074Z test_dir (__main__.TestStreamWrapper) ... ok (0.001s) 2022-11-23T01:24:29.0027323Z test_pickle (__main__.TestStreamWrapper) ... ok (0.001s) 2022-11-23T01:24:29.0027582Z test_repr (__main__.TestStreamWrapper) ... ok (0.001s) 2022-11-23T01:24:29.0027872Z test_compile_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.002s) 2022-11-23T01:24:29.0028171Z test_construct_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-11-23T01:24:29.0028449Z test_isinstance (__main__.TestTyping) ... ok (0.001s) 2022-11-23T01:24:29.0028731Z test_issubinstance (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-11-23T01:24:29.0028997Z test_protocol (__main__.TestTyping) ... ok (0.001s) 2022-11-23T01:24:29.0029429Z test_reinforce (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-11-23T01:24:29.0029927Z test_runtime (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-11-23T01:24:29.0030438Z test_subtype (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s) 2022-11-23T01:24:29.0030711Z 2022-11-23T01:24:29.0031072Z ---------------------------------------------------------------------- 2022-11-23T01:24:29.0031485Z Ran 88 tests in 0.652s 2022-11-23T01:24:29.0031638Z 2022-11-23T01:24:29.0031712Z OK (skipped=16) 2022-11-23T01:24:29.0031819Z 2022-11-23T01:24:29.0031890Z Generating XML reports... 2022-11-23T01:24:29.0032332Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCircularSerialization-20221123012427.xml 2022-11-23T01:24:29.0032858Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataChunk-20221123012427.xml 2022-11-23T01:24:29.0033395Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalIterDataPipe-20221123012427.xml 2022-11-23T01:24:29.0033952Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalMapDataPipe-20221123012427.xml 2022-11-23T01:24:29.0034460Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestGraph-20221123012427.xml 2022-11-23T01:24:29.0035012Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeCountSampleYielded-20221123012427.xml 2022-11-23T01:24:29.0035621Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeGraphFastForward-20221123012427.xml 2022-11-23T01:24:29.0036284Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeSingletonConstraint-20221123012427.xml 2022-11-23T01:24:29.0036873Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterableDataPipeBasic-20221123012427.xml 2022-11-23T01:24:29.0037386Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSharding-20221123012427.xml 2022-11-23T01:24:29.0037881Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestStreamWrapper-20221123012427.xml 2022-11-23T01:24:29.0038360Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestTyping-20221123012427.xml 2022-11-23T01:24:29.0038863Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCaptureDataFrame-20221123012427.xml 2022-11-23T01:24:29.0039388Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataFramesPipes-20221123012427.xml 2022-11-23T01:24:29.0039923Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSerialization-20221123012427.xml 2022-11-23T01:24:29.0040148Z 2022-11-23T01:24:29.0040567Z ##[endgroup] 2022-11-23T01:24:29.0040948Z FINISHED PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_cov6koro) 2022-11-23T01:24:29.0041161Z 2022-11-23T01:24:30.9982189Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:31.0756698Z Ignoring disabled issues: [] 2022-11-23T01:24:31.0914441Z Running test_decomp ... [2022-11-23 01:24:31.091036] 2022-11-23T01:24:31.0915438Z Executing ['/opt/conda/bin/python', '-bb', 'test_decomp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:31.091325] 2022-11-23T01:24:33.9444702Z 2022-11-23T01:24:33.9445393Z Expand the folded group to see the log file of test_decomp 2022-11-23T01:24:33.9446627Z ##[group]PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_tmsgimkk) 2022-11-23T01:24:33.9447038Z 2022-11-23T01:24:33.9447159Z Running tests... 2022-11-23T01:24:33.9447613Z ---------------------------------------------------------------------- 2022-11-23T01:24:33.9447788Z 2022-11-23T01:24:33.9447985Z ---------------------------------------------------------------------- 2022-11-23T01:24:33.9448212Z Ran 0 tests in 0.000s 2022-11-23T01:24:33.9448324Z 2022-11-23T01:24:33.9448387Z OK 2022-11-23T01:24:33.9448480Z 2022-11-23T01:24:33.9448566Z Generating XML reports... 2022-11-23T01:24:33.9448875Z Test results will be stored in test-reports/python-unittest/test_decomp 2022-11-23T01:24:33.9449053Z 2022-11-23T01:24:33.9449272Z ##[endgroup] 2022-11-23T01:24:33.9449637Z FINISHED PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_tmsgimkk) 2022-11-23T01:24:33.9449845Z 2022-11-23T01:24:35.9738755Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:36.0521520Z Ignoring disabled issues: [] 2022-11-23T01:24:36.0680377Z Running test_deploy ... [2022-11-23 01:24:36.067598] 2022-11-23T01:24:36.0681182Z Executing ['/opt/conda/bin/python', '-bb', '-m', 'pytest', 'test_deploy.py', '-v'] ... [2022-11-23 01:24:36.067861] 2022-11-23T01:24:40.0486869Z 2022-11-23T01:24:40.0487589Z Expand the folded group to see the log file of test_deploy 2022-11-23T01:24:40.0490576Z ##[group]PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_8dnfrh0d) 2022-11-23T01:24:40.0491189Z ============================= test session starts ============================== 2022-11-23T01:24:40.0491985Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:24:40.0492389Z cachedir: .pytest_cache 2022-11-23T01:24:40.0492822Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/var/lib/jenkins/workspace/test/.hypothesis/examples') 2022-11-23T01:24:40.0493203Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:24:40.0493632Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:24:40.0494119Z collecting ... collected 1 item 2022-11-23T01:24:40.0494406Z Running 1 items in this shard: test/test_deploy.py::TestFreezer::test_compile_string 2022-11-23T01:24:40.0494590Z 2022-11-23T01:24:40.0494735Z test_deploy.py::TestFreezer::test_compile_string PASSED [100%] 2022-11-23T01:24:40.0494906Z 2022-11-23T01:24:40.0495003Z ============================== 1 passed in 1.57s =============================== 2022-11-23T01:24:40.0495140Z 2022-11-23T01:24:40.0495373Z ##[endgroup] 2022-11-23T01:24:40.0495745Z FINISHED PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_8dnfrh0d) 2022-11-23T01:24:40.0495953Z 2022-11-23T01:24:42.0766613Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:42.1560993Z Ignoring disabled issues: [] 2022-11-23T01:24:42.1717369Z Running test_dlpack ... [2022-11-23 01:24:42.171376] 2022-11-23T01:24:42.1718585Z Executing ['/opt/conda/bin/python', '-bb', 'test_dlpack.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:42.171646] 2022-11-23T01:24:44.2553216Z 2022-11-23T01:24:44.2553799Z Expand the folded group to see the log file of test_dlpack 2022-11-23T01:24:44.2554689Z ##[group]PRINTING LOG FILE of test_dlpack (/var/lib/jenkins/workspace/test/test-reports/test_dlpack_rgjf367a) 2022-11-23T01:24:44.2555053Z 2022-11-23T01:24:44.2555186Z Running tests... 2022-11-23T01:24:44.2555846Z ---------------------------------------------------------------------- 2022-11-23T01:24:44.2556032Z 2022-11-23T01:24:44.2556234Z ---------------------------------------------------------------------- 2022-11-23T01:24:44.2556478Z Ran 0 tests in 0.000s 2022-11-23T01:24:44.2556597Z 2022-11-23T01:24:44.2556652Z OK 2022-11-23T01:24:44.2556747Z 2022-11-23T01:24:44.2556832Z Generating XML reports... 2022-11-23T01:24:44.2557177Z Test results will be stored in test-reports/python-unittest/test_dlpack 2022-11-23T01:24:44.2557352Z 2022-11-23T01:24:44.2557560Z ##[endgroup] 2022-11-23T01:24:44.2557941Z FINISHED PRINTING LOG FILE of test_dlpack (/var/lib/jenkins/workspace/test/test-reports/test_dlpack_rgjf367a) 2022-11-23T01:24:44.2558159Z 2022-11-23T01:24:46.2719210Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:46.3526086Z Ignoring disabled issues: [] 2022-11-23T01:24:46.3681960Z Running test_dynamic_shapes ... [2022-11-23 01:24:46.367885] 2022-11-23T01:24:46.3684155Z Executing ['/opt/conda/bin/python', '-bb', 'test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:46.368182] 2022-11-23T01:24:49.2012230Z 2022-11-23T01:24:49.2012712Z Expand the folded group to see the log file of test_dynamic_shapes 2022-11-23T01:24:49.2013743Z ##[group]PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_s3c5pgdq) 2022-11-23T01:24:49.2014202Z 2022-11-23T01:24:49.2014329Z Running tests... 2022-11-23T01:24:49.2015017Z ---------------------------------------------------------------------- 2022-11-23T01:24:49.2015731Z Test results will be stored in test-reports/python-unittest/test_dynamic_shapes 2022-11-23T01:24:49.2016191Z test_arith_ops (__main__.TestPySymInt) ... ok (0.448s) 2022-11-23T01:24:49.2016493Z test_aten_ops (__main__.TestPySymInt) ... ok (0.023s) 2022-11-23T01:24:49.2016740Z test_binary (__main__.TestPySymInt) ... ok (0.020s) 2022-11-23T01:24:49.2017007Z test_fx_trace_intlist (__main__.TestPySymInt) ... ok (0.012s) 2022-11-23T01:24:49.2017334Z test_guard_int (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:24:49.2017598Z test_int_conversion (__main__.TestPySymInt) ... ok (0.001s) 2022-11-23T01:24:49.2017894Z test_int_to_float (__main__.TestPySymInt) ... ok (0.001s) 2022-11-23T01:24:49.2018149Z test_meta_symint (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:24:49.2018399Z test_numel (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:24:49.2018700Z test_print_readable_with_symints (__main__.TestPySymInt) ... ok (0.061s) 2022-11-23T01:24:49.2019156Z test_reverse_arith_ops (__main__.TestPySymInt) ... ok (0.066s) 2022-11-23T01:24:49.2019472Z test_roundtrip (__main__.TestPySymInt) ... ok (0.013s) 2022-11-23T01:24:49.2019736Z test_size_expressions (__main__.TestPySymInt) ... ok (0.006s) 2022-11-23T01:24:49.2019981Z test_stride (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:24:49.2020280Z test_sym_floor (__main__.TestPySymInt) ... ok (0.073s) 2022-11-23T01:24:49.2020528Z test_sym_int (__main__.TestPySymInt) ... ok (0.021s) 2022-11-23T01:24:49.2020763Z test_sym_sqrt (__main__.TestPySymInt) ... ok (0.041s) 2022-11-23T01:24:49.2021068Z test_symint_args (__main__.TestPySymInt) ... ok (0.028s) 2022-11-23T01:24:49.2021328Z test_symint_as_scalar (__main__.TestPySymInt) ... ok (0.001s) 2022-11-23T01:24:49.2021605Z test_symint_vargs (__main__.TestPySymInt) ... ok (0.012s) 2022-11-23T01:24:49.2022048Z test_method_fn_add_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s) 2022-11-23T01:24:49.2022545Z test_method_fn_add_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s) 2022-11-23T01:24:49.2022953Z test_method_fn_add_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:24:49.2023364Z test_method_fn_add_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2023776Z test_method_fn_ceil_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s) 2022-11-23T01:24:49.2024275Z test_method_fn_ceil_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s) 2022-11-23T01:24:49.2024768Z test_method_fn_ceil_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is unary and already tested (0.001s) 2022-11-23T01:24:49.2025167Z test_method_fn_ceil_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2025621Z test_method_fn_eq_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s) 2022-11-23T01:24:49.2026053Z test_method_fn_eq_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s) 2022-11-23T01:24:49.2026500Z test_method_fn_eq_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:24:49.2026867Z test_method_fn_eq_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2027304Z test_method_fn_floor_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s) 2022-11-23T01:24:49.2027810Z test_method_fn_floor_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s) 2022-11-23T01:24:49.2028252Z test_method_fn_floor_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is unary and already tested (0.001s) 2022-11-23T01:24:49.2028696Z test_method_fn_floor_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2029112Z test_method_fn_floordiv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s) 2022-11-23T01:24:49.2029610Z test_method_fn_floordiv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s) 2022-11-23T01:24:49.2030077Z test_method_fn_floordiv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.003s) 2022-11-23T01:24:49.2030448Z test_method_fn_floordiv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2030946Z test_method_fn_ge_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s) 2022-11-23T01:24:49.2031381Z test_method_fn_ge_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s) 2022-11-23T01:24:49.2031825Z test_method_fn_ge_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2032203Z test_method_fn_ge_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2032621Z test_method_fn_gt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s) 2022-11-23T01:24:49.2033109Z test_method_fn_gt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s) 2022-11-23T01:24:49.2033544Z test_method_fn_gt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2033949Z test_method_fn_gt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2034353Z test_method_fn_le_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s) 2022-11-23T01:24:49.2034833Z test_method_fn_le_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s) 2022-11-23T01:24:49.2035259Z test_method_fn_le_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2035618Z test_method_fn_le_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2036057Z test_method_fn_lt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s) 2022-11-23T01:24:49.2036496Z test_method_fn_lt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s) 2022-11-23T01:24:49.2036941Z test_method_fn_lt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2037295Z test_method_fn_lt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:24:49.2037743Z test_method_fn_max_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s) 2022-11-23T01:24:49.2038173Z test_method_fn_max_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s) 2022-11-23T01:24:49.2038624Z test_method_fn_max_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2038993Z test_method_fn_max_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2039438Z test_method_fn_min_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s) 2022-11-23T01:24:49.2039927Z test_method_fn_min_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s) 2022-11-23T01:24:49.2040402Z test_method_fn_min_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2040813Z test_method_fn_min_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2041223Z test_method_fn_mod_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s) 2022-11-23T01:24:49.2041714Z test_method_fn_mod_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s) 2022-11-23T01:24:49.2042166Z test_method_fn_mod_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2042569Z test_method_fn_mod_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2043023Z test_method_fn_mul_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s) 2022-11-23T01:24:49.2043453Z test_method_fn_mul_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s) 2022-11-23T01:24:49.2043907Z test_method_fn_mul_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2044307Z test_method_fn_mul_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2044922Z test_method_fn_neg_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s) 2022-11-23T01:24:49.2045445Z test_method_fn_neg_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s) 2022-11-23T01:24:49.2045927Z test_method_fn_neg_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is unary and already tested (0.001s) 2022-11-23T01:24:49.2046315Z test_method_fn_neg_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2046778Z test_method_fn_pow_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s) 2022-11-23T01:24:49.2047258Z test_method_fn_pow_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s) 2022-11-23T01:24:49.2047659Z test_method_fn_pow_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:24:49.2048065Z test_method_fn_pow_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2048471Z test_method_fn_sub_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s) 2022-11-23T01:24:49.2048939Z test_method_fn_sub_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s) 2022-11-23T01:24:49.2049338Z test_method_fn_sub_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2049741Z test_method_fn_sub_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2050154Z test_method_fn_sym_float_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s) 2022-11-23T01:24:49.2050612Z test_method_fn_sym_float_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s) 2022-11-23T01:24:49.2051122Z test_method_fn_sym_float_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is unary and already tested (0.001s) 2022-11-23T01:24:49.2051530Z test_method_fn_sym_float_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2051946Z test_method_fn_sym_sqrt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s) 2022-11-23T01:24:49.2052392Z test_method_fn_sym_sqrt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s) 2022-11-23T01:24:49.2052842Z test_method_fn_sym_sqrt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is unary and already tested (0.001s) 2022-11-23T01:24:49.2053295Z test_method_fn_sym_sqrt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2053763Z test_method_fn_truediv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s) 2022-11-23T01:24:49.2054217Z test_method_fn_truediv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s) 2022-11-23T01:24:49.2054636Z test_method_fn_truediv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2054999Z test_method_fn_truediv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:24:49.2055204Z 2022-11-23T01:24:49.2055452Z ---------------------------------------------------------------------- 2022-11-23T01:24:49.2055701Z Ran 96 tests in 0.927s 2022-11-23T01:24:49.2055817Z 2022-11-23T01:24:49.2055891Z OK (skipped=43) 2022-11-23T01:24:49.2056033Z 2022-11-23T01:24:49.2056105Z Generating XML reports... 2022-11-23T01:24:49.2056525Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestPySymInt-20221123012447.xml 2022-11-23T01:24:49.2057131Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestSymNumberMagicMethods-20221123012447.xml 2022-11-23T01:24:49.2057389Z 2022-11-23T01:24:49.2057652Z ##[endgroup] 2022-11-23T01:24:49.2058053Z FINISHED PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_s3c5pgdq) 2022-11-23T01:24:49.2058276Z 2022-11-23T01:24:51.2151401Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:51.2954063Z Ignoring disabled issues: [] 2022-11-23T01:24:51.3110603Z Running test_expanded_weights ... [2022-11-23 01:24:51.310746] 2022-11-23T01:24:51.3112227Z Executing ['/opt/conda/bin/python', '-bb', 'test_expanded_weights.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:51.311036] 2022-11-23T01:24:54.6210702Z 2022-11-23T01:24:54.6211253Z Expand the folded group to see the log file of test_expanded_weights 2022-11-23T01:24:54.6212347Z ##[group]PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_uaoswg67) 2022-11-23T01:24:54.6212772Z 2022-11-23T01:24:54.6212974Z Running tests... 2022-11-23T01:24:54.6213411Z ---------------------------------------------------------------------- 2022-11-23T01:24:54.6213811Z Test results will be stored in test-reports/python-unittest/test_expanded_weights 2022-11-23T01:24:54.6214183Z test_Conv1d (__main__.TestExpandedWeightModule) ... ok (0.015s) 2022-11-23T01:24:54.6214509Z test_Conv1d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6214913Z test_Conv1d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.065s) 2022-11-23T01:24:54.6215269Z test_Conv1d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.007s) 2022-11-23T01:24:54.6215645Z test_Conv1d_pad1 (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6215956Z test_Conv1d_pad1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.007s) 2022-11-23T01:24:54.6216332Z test_Conv1d_pad1size1 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6216665Z test_Conv1d_pad1size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6217041Z test_Conv1d_pad2 (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6217350Z test_Conv1d_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s) 2022-11-23T01:24:54.6217714Z test_Conv1d_pad2size1 (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6218046Z test_Conv1d_pad2size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6218390Z test_Conv1d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6218771Z test_Conv1d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s) 2022-11-23T01:24:54.6219353Z test_Conv1d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6219727Z test_Conv1d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s) 2022-11-23T01:24:54.6220101Z test_Conv1d_stride (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6220430Z test_Conv1d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s) 2022-11-23T01:24:54.6221012Z test_Conv1d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.002s) 2022-11-23T01:24:54.6221648Z test_Conv1d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.002s) 2022-11-23T01:24:54.6222042Z test_Conv1d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6222521Z test_Conv1d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6222853Z test_Conv2d (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6223223Z test_Conv2d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6223568Z test_Conv2d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s) 2022-11-23T01:24:54.6223953Z test_Conv2d_dilated (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6224290Z test_Conv2d_dilated_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.007s) 2022-11-23T01:24:54.6224651Z test_Conv2d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s) 2022-11-23T01:24:54.6224967Z test_Conv2d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6225345Z test_Conv2d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6225674Z test_Conv2d_padding (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6226021Z test_Conv2d_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s) 2022-11-23T01:24:54.6226379Z test_Conv2d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6226739Z test_Conv2d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6227117Z test_Conv2d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6227490Z test_Conv2d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6227866Z test_Conv2d_strided (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6228189Z test_Conv2d_strided_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6228740Z test_Conv2d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:24:54.6229373Z test_Conv2d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:24:54.6229789Z test_Conv2d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6230168Z test_Conv2d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s) 2022-11-23T01:24:54.6230482Z test_Conv3d (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6230840Z test_Conv3d_1x1x1_no_bias (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6231172Z test_Conv3d_1x1x1_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6231549Z test_Conv3d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.007s) 2022-11-23T01:24:54.6231911Z test_Conv3d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s) 2022-11-23T01:24:54.6232356Z test_Conv3d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.007s) 2022-11-23T01:24:54.6232676Z test_Conv3d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6233037Z test_Conv3d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6233379Z test_Conv3d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6233787Z test_Conv3d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s) 2022-11-23T01:24:54.6234114Z test_Conv3d_stride (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6234489Z test_Conv3d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6234822Z test_Conv3d_stride_padding (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6235254Z test_Conv3d_stride_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s) 2022-11-23T01:24:54.6235768Z test_Conv3d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:24:54.6236407Z test_Conv3d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:24:54.6236859Z test_Conv3d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6237211Z test_Conv3d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s) 2022-11-23T01:24:54.6237581Z test_Embedding (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6237898Z test_Embedding_discontiguous (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6238303Z test_Embedding_discontiguous_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6238648Z test_Embedding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6239028Z test_GroupNorm_1d_affine (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6239355Z test_GroupNorm_1d_affine_GN (__main__.TestExpandedWeightModule) ... ok (0.005s) 2022-11-23T01:24:54.6239746Z test_GroupNorm_1d_affine_GN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6240089Z test_GroupNorm_1d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6240565Z test_GroupNorm_1d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6240917Z test_GroupNorm_1d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6241301Z test_GroupNorm_1d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6241653Z test_GroupNorm_1d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6242050Z test_GroupNorm_2d_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6242389Z test_GroupNorm_2d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6242768Z test_GroupNorm_2d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6243119Z test_GroupNorm_2d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6243501Z test_GroupNorm_2d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6243855Z test_GroupNorm_2d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6244214Z test_LayerNorm_1d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6244605Z test_LayerNorm_1d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6245487Z test_LayerNorm_1d_empty_elementwise_affine (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:24:54.6246189Z test_LayerNorm_1d_empty_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:24:54.6246653Z test_LayerNorm_1d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6247039Z test_LayerNorm_1d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6247410Z test_LayerNorm_3d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6247765Z test_LayerNorm_3d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6248240Z test_LayerNorm_3d_no_affine_large_feature (__main__.TestExpandedWeightModule) ... ok (0.039s) 2022-11-23T01:24:54.6248621Z test_LayerNorm_3d_no_affine_large_feature_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.021s) 2022-11-23T01:24:54.6248989Z test_LayerNorm_3d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6249346Z test_LayerNorm_3d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6249681Z test_Linear (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6249993Z test_Linear_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6250533Z test_Linear_no_batch_dim (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s) 2022-11-23T01:24:54.6251074Z test_Linear_no_batch_dim_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s) 2022-11-23T01:24:54.6251464Z test_Linear_no_bias (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:24:54.6251797Z test_Linear_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6252131Z test_per_sample_api_compute_batch_size (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:24:54.6252504Z test_per_sample_api_compute_batch_size_not_pytreeable (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6252858Z test_per_sample_api_failing (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:24:54.6253040Z 2022-11-23T01:24:54.6253242Z ---------------------------------------------------------------------- 2022-11-23T01:24:54.6253472Z Ran 99 tests in 0.531s 2022-11-23T01:24:54.6253585Z 2022-11-23T01:24:54.6253657Z OK (skipped=10) 2022-11-23T01:24:54.6253765Z 2022-11-23T01:24:54.6253857Z Generating XML reports... 2022-11-23T01:24:54.6254360Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightModule-20221123012453.xml 2022-11-23T01:24:54.6254613Z 2022-11-23T01:24:54.6254918Z ##[endgroup] 2022-11-23T01:24:54.6255332Z FINISHED PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_uaoswg67) 2022-11-23T01:24:54.6255566Z 2022-11-23T01:24:56.5787026Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:24:56.6631207Z Ignoring disabled issues: [] 2022-11-23T01:24:56.6818501Z Running test_foreach ... [2022-11-23 01:24:56.681460] 2022-11-23T01:24:56.6819801Z Executing ['/opt/conda/bin/python', '-bb', 'test_foreach.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:56.681751] 2022-11-23T01:24:59.3928986Z 2022-11-23T01:24:59.3929601Z Expand the folded group to see the log file of test_foreach 2022-11-23T01:24:59.3930594Z ##[group]PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_yr341brd) 2022-11-23T01:24:59.3930995Z 2022-11-23T01:24:59.3931100Z Running tests... 2022-11-23T01:24:59.3931500Z ---------------------------------------------------------------------- 2022-11-23T01:24:59.3931884Z 2022-11-23T01:24:59.3932085Z ---------------------------------------------------------------------- 2022-11-23T01:24:59.3932328Z Ran 0 tests in 0.000s 2022-11-23T01:24:59.3932441Z 2022-11-23T01:24:59.3932489Z OK 2022-11-23T01:24:59.3932579Z 2022-11-23T01:24:59.3932666Z Generating XML reports... 2022-11-23T01:24:59.3932990Z Test results will be stored in test-reports/python-unittest/test_foreach 2022-11-23T01:24:59.3933168Z 2022-11-23T01:24:59.3933401Z ##[endgroup] 2022-11-23T01:24:59.3933785Z FINISHED PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_yr341brd) 2022-11-23T01:24:59.3933998Z 2022-11-23T01:25:01.3694136Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:25:01.4512132Z Ignoring disabled issues: [] 2022-11-23T01:25:01.4668398Z Running test_function_schema ... [2022-11-23 01:25:01.466557] 2022-11-23T01:25:01.4670346Z Executing ['/opt/conda/bin/python', '-bb', 'test_function_schema.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:01.466832] 2022-11-23T01:25:03.7515895Z 2022-11-23T01:25:03.7516575Z Expand the folded group to see the log file of test_function_schema 2022-11-23T01:25:03.7517335Z ##[group]PRINTING LOG FILE of test_function_schema (/var/lib/jenkins/workspace/test/test-reports/test_function_schema_e0ipxtyw) 2022-11-23T01:25:03.7517586Z 2022-11-23T01:25:03.7517661Z Running tests... 2022-11-23T01:25:03.7518123Z ---------------------------------------------------------------------- 2022-11-23T01:25:03.7518504Z Test results will be stored in test-reports/python-unittest/test_function_schema 2022-11-23T01:25:03.7518897Z test_backward_compatible_arguments (__main__.TestFunctionSchema) ... ok (0.257s) 2022-11-23T01:25:03.7519228Z test_backward_compatible_outputs (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7519619Z test_backward_compatible_structure (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7519959Z test_backward_compatible_with_smart_serialization (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7520502Z test_forward_compatible_arguments_real_use_case (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7520845Z test_forward_compatible_arguments_with_out (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7521228Z test_forward_compatible_arguments_without_out (__main__.TestFunctionSchema) ... ok (0.002s) 2022-11-23T01:25:03.7521535Z test_out_schema (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7521819Z test_schema_error (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7522165Z test_serialize_and_deserialize (__main__.TestFunctionSchema) ... ok (0.226s) 2022-11-23T01:25:03.7522478Z test_string_optional_parameter_default_value (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7522883Z test_tensor_list_alias_annotation_properly_parsed (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7523239Z test_tensor_option_arguments_properly_parsed (__main__.TestFunctionSchema) ... ok (0.001s) 2022-11-23T01:25:03.7523483Z 2022-11-23T01:25:03.7523689Z ---------------------------------------------------------------------- 2022-11-23T01:25:03.7523962Z Ran 13 tests in 0.494s 2022-11-23T01:25:03.7524077Z 2022-11-23T01:25:03.7524173Z OK 2022-11-23T01:25:03.7524275Z 2022-11-23T01:25:03.7524365Z Generating XML reports... 2022-11-23T01:25:03.7525008Z Generated XML report: test-reports/python-unittest/test_function_schema/TEST-TestFunctionSchema-20221123012502.xml 2022-11-23T01:25:03.7525260Z 2022-11-23T01:25:03.7525506Z ##[endgroup] 2022-11-23T01:25:03.7525970Z FINISHED PRINTING LOG FILE of test_function_schema (/var/lib/jenkins/workspace/test/test-reports/test_function_schema_e0ipxtyw) 2022-11-23T01:25:03.7526196Z 2022-11-23T01:25:05.7084679Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:25:05.7865888Z Ignoring disabled issues: [] 2022-11-23T01:25:05.8022866Z Running test_functional_autograd_benchmark ... [2022-11-23 01:25:05.801923] 2022-11-23T01:25:05.8024055Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:05.802197] 2022-11-23T01:25:32.4643005Z 2022-11-23T01:25:32.4643600Z Expand the folded group to see the log file of test_functional_autograd_benchmark 2022-11-23T01:25:32.4645797Z ##[group]PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_cjjn758n) 2022-11-23T01:25:32.4685712Z 2022-11-23T01:25:32.4685811Z Running tests... 2022-11-23T01:25:32.4686461Z ---------------------------------------------------------------------- 2022-11-23T01:25:32.4687141Z Test results will be stored in test-reports/python-unittest/test_functional_autograd_benchmark 2022-11-23T01:25:32.4687714Z test_fast_tasks (__main__.TestFunctionalAutogradBenchmark) ... Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:25:32.4688045Z Results for model resnet18 on task vjp: nans (var: nan) 2022-11-23T01:25:32.4688312Z Results for model resnet18 on task vjp using Functorch: nans (var: nan) 2022-11-23T01:25:32.4688570Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:25:32.4688825Z Results for model ppl_simple_reg on task vjp: nans (var: nan) 2022-11-23T01:25:32.4689123Z Results for model ppl_simple_reg on task vjp using Functorch: nans (var: nan) 2022-11-23T01:25:32.4689372Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:25:32.4689623Z Results for model ppl_robust_reg on task vjp: nans (var: nan) 2022-11-23T01:25:32.4689918Z Results for model ppl_robust_reg on task vjp using Functorch: nans (var: nan) 2022-11-23T01:25:32.4690164Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:25:32.4690410Z Results for model wav2letter on task vjp: nans (var: nan) 2022-11-23T01:25:32.4690697Z Results for model wav2letter on task vjp using Functorch: nans (var: nan) 2022-11-23T01:25:32.4690936Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:25:32.4691186Z Results for model transformer on task vjp: nans (var: nan) 2022-11-23T01:25:32.4691474Z Results for model transformer on task vjp using Functorch: nans (var: nan) 2022-11-23T01:25:32.4691716Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:25:32.4691966Z Results for model multiheadattn on task vjp: nans (var: nan) 2022-11-23T01:25:32.4692263Z Results for model multiheadattn on task vjp using Functorch: nans (var: nan) 2022-11-23T01:25:32.4692501Z ok (24.883s) 2022-11-23T01:25:32.4693304Z test_slow_tasks (__main__.TestFunctionalAutogradBenchmark) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77260 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:25:32.4693767Z 2022-11-23T01:25:32.4693970Z ---------------------------------------------------------------------- 2022-11-23T01:25:32.4694218Z Ran 2 tests in 24.884s 2022-11-23T01:25:32.4694335Z 2022-11-23T01:25:32.4694412Z OK (skipped=1) 2022-11-23T01:25:32.4694519Z 2022-11-23T01:25:32.4694592Z Generating XML reports... 2022-11-23T01:25:32.4695095Z Generated XML report: test-reports/python-unittest/test_functional_autograd_benchmark/TEST-TestFunctionalAutogradBenchmark-20221123012507.xml 2022-11-23T01:25:32.4695396Z 2022-11-23T01:25:32.4695658Z ##[endgroup] 2022-11-23T01:25:32.4696100Z FINISHED PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_cjjn758n) 2022-11-23T01:25:32.4696359Z 2022-11-23T01:25:34.4533334Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:25:34.5175032Z Ignoring disabled issues: [] 2022-11-23T01:25:34.5522963Z Running test_functional_optim ... [2022-11-23 01:25:34.551970] 2022-11-23T01:25:34.5558076Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_optim.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:34.552250] 2022-11-23T01:25:36.8763100Z 2022-11-23T01:25:36.8763607Z Expand the folded group to see the log file of test_functional_optim 2022-11-23T01:25:36.8764662Z ##[group]PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_y0b79ptm) 2022-11-23T01:25:36.8765088Z 2022-11-23T01:25:36.8765167Z Running tests... 2022-11-23T01:25:36.8765608Z ---------------------------------------------------------------------- 2022-11-23T01:25:36.8766255Z Test results will be stored in test-reports/python-unittest/test_functional_optim 2022-11-23T01:25:36.8766716Z test_functional_optim_parity_adam (__main__.TestFunctionalOptimParity) ... ok (0.280s) 2022-11-23T01:25:36.8767280Z test_functional_optim_parity_adam_w (__main__.TestFunctionalOptimParity) ... ok (0.025s) 2022-11-23T01:25:36.8768130Z test_functional_optim_parity_sgd (__main__.TestFunctionalOptimParity) ... ok (0.023s) 2022-11-23T01:25:36.8768489Z test_functional_optim_registration (__main__.TestFunctionalOptimParity) ... ok (0.001s) 2022-11-23T01:25:36.8768695Z 2022-11-23T01:25:36.8768914Z ---------------------------------------------------------------------- 2022-11-23T01:25:36.8769160Z Ran 4 tests in 0.330s 2022-11-23T01:25:36.8769261Z 2022-11-23T01:25:36.8769323Z OK 2022-11-23T01:25:36.8769417Z 2022-11-23T01:25:36.8769501Z Generating XML reports... 2022-11-23T01:25:36.8769965Z Generated XML report: test-reports/python-unittest/test_functional_optim/TEST-TestFunctionalOptimParity-20221123012536.xml 2022-11-23T01:25:36.8770224Z 2022-11-23T01:25:36.8806520Z ##[endgroup] 2022-11-23T01:25:36.8807309Z FINISHED PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_y0b79ptm) 2022-11-23T01:25:36.8807746Z 2022-11-23T01:25:38.8621241Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:25:38.9386885Z Ignoring disabled issues: [] 2022-11-23T01:25:38.9543065Z Running test_functionalization ... [2022-11-23 01:25:38.954013] 2022-11-23T01:25:38.9545080Z Executing ['/opt/conda/bin/python', '-bb', 'test_functionalization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:38.954280] 2022-11-23T01:25:42.2410586Z 2022-11-23T01:25:42.2411192Z Expand the folded group to see the log file of test_functionalization 2022-11-23T01:25:42.2412409Z ##[group]PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_goitryyq) 2022-11-23T01:25:42.2412856Z 2022-11-23T01:25:42.2412967Z Running tests... 2022-11-23T01:25:42.2413605Z ---------------------------------------------------------------------- 2022-11-23T01:25:42.2414332Z Test results will be stored in test-reports/python-unittest/test_functionalization 2022-11-23T01:25:42.2415000Z test_aliases_maintained_after_pass_when_reapplying_views (__main__.TestFunctionalization) ... ok (0.248s) 2022-11-23T01:25:42.2415587Z test_as_strided (__main__.TestFunctionalization) ... ok (0.020s) 2022-11-23T01:25:42.2416075Z test_cat (__main__.TestFunctionalization) ... ok (0.017s) 2022-11-23T01:25:42.2416556Z test_copy_ (__main__.TestFunctionalization) ... ok (0.083s) 2022-11-23T01:25:42.2417040Z test_copy_stride_mismatch (__main__.TestFunctionalization) ... ok (0.001s) 2022-11-23T01:25:42.2417534Z test_diagonal (__main__.TestFunctionalization) ... ok (0.027s) 2022-11-23T01:25:42.2418048Z test_diagonal_mutated_input (__main__.TestFunctionalization) ... ok (0.019s) 2022-11-23T01:25:42.2418550Z test_everything (__main__.TestFunctionalization) ... ok (0.166s) 2022-11-23T01:25:42.2419062Z test_expand_symint (__main__.TestFunctionalization) ... ok (0.011s) 2022-11-23T01:25:42.2419565Z test_fill_ (__main__.TestFunctionalization) ... ok (0.024s) 2022-11-23T01:25:42.2420058Z test_freeze (__main__.TestFunctionalization) ... ok (0.010s) 2022-11-23T01:25:42.2420573Z test_index_mutation_on_non_input (__main__.TestFunctionalization) ... ok (0.025s) 2022-11-23T01:25:42.2421416Z test_inplace_on_non_view (__main__.TestFunctionalization) ... ok (0.027s) 2022-11-23T01:25:42.2421961Z test_metadata_change (__main__.TestFunctionalization) ... ok (0.021s) 2022-11-23T01:25:42.2422504Z test_metadata_change_out_op (__main__.TestFunctionalization) ... ok (0.001s) 2022-11-23T01:25:42.2423049Z test_mixed_wrappers_invalid (__main__.TestFunctionalization) ... ok (0.005s) 2022-11-23T01:25:42.2423561Z test_mixed_wrappers_valid (__main__.TestFunctionalization) ... ok (0.001s) 2022-11-23T01:25:42.2424884Z test_multi_out (__main__.TestFunctionalization) ... /var/lib/jenkins/workspace/test/test_functionalization.py:258: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:25:42.2426284Z torch.aminmax(x, dim=0, out=(out_max, out_min)) 2022-11-23T01:25:42.2426614Z ok (0.023s) 2022-11-23T01:25:42.2427030Z test_multiple_views_of_same_base (__main__.TestFunctionalization) ... ok (0.019s) 2022-11-23T01:25:42.2427583Z test_mutable_op_not_inplace_or_other (__main__.TestFunctionalization) ... ok (0.007s) 2022-11-23T01:25:42.2428157Z test_nested_functions_propagate_updates (__main__.TestFunctionalization) ... ok (0.014s) 2022-11-23T01:25:42.2428679Z test_only_one_view (__main__.TestFunctionalization) ... ok (0.003s) 2022-11-23T01:25:42.2429165Z test_optional_tensor_list (__main__.TestFunctionalization) ... ok (0.024s) 2022-11-23T01:25:42.2429671Z test_reapply_views_simple (__main__.TestFunctionalization) ... ok (0.022s) 2022-11-23T01:25:42.2430208Z test_resize_larger_invalid (__main__.TestFunctionalization) ... ok (0.004s) 2022-11-23T01:25:42.2430714Z test_resize_larger_valid (__main__.TestFunctionalization) ... ok (0.032s) 2022-11-23T01:25:42.2431218Z test_resize_smaller (__main__.TestFunctionalization) ... ok (0.070s) 2022-11-23T01:25:42.2431736Z test_save_for_backwards_segfault (__main__.TestFunctionalization) ... ok (0.001s) 2022-11-23T01:25:42.2432206Z test_scalars (__main__.TestFunctionalization) ... ok (0.026s) 2022-11-23T01:25:42.2432637Z test_simple (__main__.TestFunctionalization) ... ok (0.031s) 2022-11-23T01:25:42.2433978Z test_simple_out (__main__.TestFunctionalization) ... /var/lib/jenkins/workspace/test/test_functionalization.py:220: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [4, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:25:42.2435276Z torch.add(y, tmp, out=z) 2022-11-23T01:25:42.2435658Z ok (0.028s) 2022-11-23T01:25:42.2436107Z test_split (__main__.TestFunctionalization) ... ok (0.033s) 2022-11-23T01:25:42.2436681Z test_tensor_ctr (__main__.TestFunctionalization) ... ok (0.026s) 2022-11-23T01:25:42.2437295Z test_tensor_list_composite (__main__.TestFunctionalization) ... ok (0.010s) 2022-11-23T01:25:42.2437980Z test_tensor_list_mixed_functional_nonfunctional (__main__.TestFunctionalization) ... ok (0.001s) 2022-11-23T01:25:42.2439012Z test_view_clone_view_inplace (__main__.TestFunctionalization) ... /var/lib/jenkins/workspace/test/test_functionalization.py:144: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging. 2022-11-23T01:25:42.2439793Z with torch.autograd.detect_anomaly(check_nan=False): 2022-11-23T01:25:42.2440151Z ok (0.386s) 2022-11-23T01:25:42.2440736Z test_view_inplace (__main__.TestFunctionalization) ... ok (0.029s) 2022-11-23T01:25:42.2441002Z 2022-11-23T01:25:42.2441384Z ---------------------------------------------------------------------- 2022-11-23T01:25:42.2441766Z Ran 37 tests in 1.499s 2022-11-23T01:25:42.2441950Z 2022-11-23T01:25:42.2442052Z OK 2022-11-23T01:25:42.2445746Z 2022-11-23T01:25:42.2446078Z Generating XML reports... 2022-11-23T01:25:42.2447011Z Generated XML report: test-reports/python-unittest/test_functionalization/TEST-TestFunctionalization-20221123012540.xml 2022-11-23T01:25:42.2447342Z 2022-11-23T01:25:42.2447676Z ##[endgroup] 2022-11-23T01:25:42.2448100Z FINISHED PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_goitryyq) 2022-11-23T01:25:42.2448342Z 2022-11-23T01:25:44.2383375Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:25:44.3195462Z Ignoring disabled issues: [] 2022-11-23T01:25:44.3353093Z Running test_futures ... [2022-11-23 01:25:44.334961] 2022-11-23T01:25:44.3354618Z Executing ['/opt/conda/bin/python', '-bb', 'test_futures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:44.335241] 2022-11-23T01:25:46.9949802Z 2022-11-23T01:25:46.9950335Z Expand the folded group to see the log file of test_futures 2022-11-23T01:25:46.9951394Z ##[group]PRINTING LOG FILE of test_futures (/var/lib/jenkins/workspace/test/test-reports/test_futures_erxy4duz) 2022-11-23T01:25:46.9951782Z 2022-11-23T01:25:46.9951904Z Running tests... 2022-11-23T01:25:46.9952556Z ---------------------------------------------------------------------- 2022-11-23T01:25:46.9953248Z Test results will be stored in test-reports/python-unittest/test_futures 2022-11-23T01:25:46.9953972Z test_add_done_callback_error_is_ignored (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: ValueError: Expected error 2022-11-23T01:25:46.9954448Z 2022-11-23T01:25:46.9954553Z At: 2022-11-23T01:25:46.9954971Z /var/lib/jenkins/workspace/test/test_futures.py(236): raise_value_error 2022-11-23T01:25:46.9955585Z /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py(241): set_result 2022-11-23T01:25:46.9956218Z /var/lib/jenkins/workspace/test/test_futures.py(229): _test_add_done_callback_error_ignored 2022-11-23T01:25:46.9956827Z /var/lib/jenkins/workspace/test/test_futures.py(238): test_add_done_callback_error_is_ignored 2022-11-23T01:25:46.9957385Z /opt/conda/lib/python3.10/unittest/case.py(549): _callTestMethod 2022-11-23T01:25:46.9957870Z /opt/conda/lib/python3.10/unittest/case.py(591): run 2022-11-23T01:25:46.9958589Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2127): _run_with_retry 2022-11-23T01:25:46.9959376Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2198): run 2022-11-23T01:25:46.9959927Z /opt/conda/lib/python3.10/unittest/case.py(650): __call__ 2022-11-23T01:25:46.9960501Z /opt/conda/lib/python3.10/unittest/suite.py(122): run 2022-11-23T01:25:46.9960977Z /opt/conda/lib/python3.10/unittest/suite.py(84): __call__ 2022-11-23T01:25:46.9961443Z /opt/conda/lib/python3.10/unittest/suite.py(122): run 2022-11-23T01:25:46.9961890Z /opt/conda/lib/python3.10/unittest/suite.py(84): __call__ 2022-11-23T01:25:46.9962521Z /opt/conda/lib/python3.10/site-packages/xmlrunner/runner.py(67): run 2022-11-23T01:25:46.9963026Z /opt/conda/lib/python3.10/unittest/main.py(271): runTests 2022-11-23T01:25:46.9963495Z /opt/conda/lib/python3.10/unittest/main.py(101): __init__ 2022-11-23T01:25:46.9964133Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(786): run_tests 2022-11-23T01:25:46.9964704Z /var/lib/jenkins/workspace/test/test_futures.py(340): 2022-11-23T01:25:46.9965191Z 2022-11-23T01:25:46.9965309Z ok (0.258s) 2022-11-23T01:25:46.9965757Z test_add_done_callback_maintains_callback_order (__main__.TestFuture) ... ok (0.002s) 2022-11-23T01:25:46.9966972Z test_add_done_callback_no_arg_error_is_ignored (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: TypeError: TestFuture.test_add_done_callback_no_arg_error_is_ignored..no_arg() takes 0 positional arguments but 1 was given 2022-11-23T01:25:46.9967659Z ok (0.001s) 2022-11-23T01:25:46.9968052Z test_add_done_callback_simple (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:46.9968515Z test_chained_then (__main__.TestFuture) ... ok (0.004s) 2022-11-23T01:25:46.9968965Z test_collect_all (__main__.TestFuture) ... ok (0.102s) 2022-11-23T01:25:46.9969391Z test_done (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:46.9969813Z test_done_exception (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:46.9970383Z test_interleaving_then_and_add_done_callback_maintains_callback_order (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:46.9971369Z test_interleaving_then_and_add_done_callback_propagates_error (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: ValueError: Expected error 2022-11-23T01:25:46.9971859Z 2022-11-23T01:25:46.9971966Z At: 2022-11-23T01:25:46.9972352Z /var/lib/jenkins/workspace/test/test_futures.py(280): raise_value_error 2022-11-23T01:25:46.9973105Z /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py(241): set_result 2022-11-23T01:25:46.9973758Z /var/lib/jenkins/workspace/test/test_futures.py(285): test_interleaving_then_and_add_done_callback_propagates_error 2022-11-23T01:25:46.9974361Z /opt/conda/lib/python3.10/unittest/case.py(549): _callTestMethod 2022-11-23T01:25:46.9974826Z /opt/conda/lib/python3.10/unittest/case.py(591): run 2022-11-23T01:25:46.9975534Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2127): _run_with_retry 2022-11-23T01:25:46.9976302Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2198): run 2022-11-23T01:25:46.9976840Z /opt/conda/lib/python3.10/unittest/case.py(650): __call__ 2022-11-23T01:25:46.9977314Z /opt/conda/lib/python3.10/unittest/suite.py(122): run 2022-11-23T01:25:46.9977788Z /opt/conda/lib/python3.10/unittest/suite.py(84): __call__ 2022-11-23T01:25:46.9978230Z /opt/conda/lib/python3.10/unittest/suite.py(122): run 2022-11-23T01:25:46.9978700Z /opt/conda/lib/python3.10/unittest/suite.py(84): __call__ 2022-11-23T01:25:46.9979277Z /opt/conda/lib/python3.10/site-packages/xmlrunner/runner.py(67): run 2022-11-23T01:25:46.9979766Z /opt/conda/lib/python3.10/unittest/main.py(271): runTests 2022-11-23T01:25:46.9980213Z /opt/conda/lib/python3.10/unittest/main.py(101): __init__ 2022-11-23T01:25:46.9980920Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(786): run_tests 2022-11-23T01:25:46.9981488Z /var/lib/jenkins/workspace/test/test_futures.py(340): 2022-11-23T01:25:46.9981777Z 2022-11-23T01:25:46.9981875Z ok (0.001s) 2022-11-23T01:25:46.9982259Z test_mark_future_twice (__main__.TestFuture) ... ok (0.002s) 2022-11-23T01:25:46.9982720Z test_pickle_future (__main__.TestFuture) ... ok (0.002s) 2022-11-23T01:25:46.9983153Z test_set_exception (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:46.9983645Z test_set_exception_multithreading (__main__.TestFuture) ... ok (0.002s) 2022-11-23T01:25:46.9984110Z test_then (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:46.9984535Z test_then_no_arg (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:47.0046060Z test_then_raise (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:47.0046562Z test_then_wrong_arg (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:47.0047016Z test_wait (__main__.TestFuture) ... ok (0.001s) 2022-11-23T01:25:47.0047426Z test_wait_all (__main__.TestFuture) ... [1, 2] 2022-11-23T01:25:47.0047753Z ok (0.001s) 2022-11-23T01:25:47.0048123Z test_wait_multi_thread (__main__.TestFuture) ... ok (0.502s) 2022-11-23T01:25:47.0048602Z test_wait_none (__main__.TestFuture) ... ok (0.004s) 2022-11-23T01:25:47.0048818Z 2022-11-23T01:25:47.0049428Z ---------------------------------------------------------------------- 2022-11-23T01:25:47.0049849Z Ran 22 tests in 0.891s 2022-11-23T01:25:47.0049966Z 2022-11-23T01:25:47.0050029Z OK 2022-11-23T01:25:47.0050122Z 2022-11-23T01:25:47.0050203Z Generating XML reports... 2022-11-23T01:25:47.0050621Z Generated XML report: test-reports/python-unittest/test_futures/TEST-TestFuture-20221123012545.xml 2022-11-23T01:25:47.0050846Z 2022-11-23T01:25:47.0051174Z ##[endgroup] 2022-11-23T01:25:47.0051536Z FINISHED PRINTING LOG FILE of test_futures (/var/lib/jenkins/workspace/test/test-reports/test_futures_erxy4duz) 2022-11-23T01:25:47.0051751Z 2022-11-23T01:25:48.9868803Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:25:49.0693610Z Ignoring disabled issues: [] 2022-11-23T01:25:49.0851772Z Running test_fx_experimental ... [2022-11-23 01:25:49.084769] 2022-11-23T01:25:49.0853305Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_experimental.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:49.085021] 2022-11-23T01:26:06.4793218Z 2022-11-23T01:26:06.4793737Z Expand the folded group to see the log file of test_fx_experimental 2022-11-23T01:26:06.4794822Z ##[group]PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_e0kxr_gg) 2022-11-23T01:26:06.4795372Z 2022-11-23T01:26:06.4795539Z Running tests... 2022-11-23T01:26:06.4796355Z ---------------------------------------------------------------------- 2022-11-23T01:26:06.4797267Z Test results will be stored in test-reports/python-unittest/test_fx_experimental 2022-11-23T01:26:06.4799435Z test_annotate_returns_with_schema (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`. 2022-11-23T01:26:06.4801176Z warnings.warn("The TorchScript type system doesn't support " 2022-11-23T01:26:06.4801718Z ok (1.754s) 2022-11-23T01:26:06.4802259Z test_aot_based_partition (__main__.TestFXExperimental) ... ok (0.006s) 2022-11-23T01:26:06.4802962Z test_call_to_assert_no_msg (__main__.TestFXExperimental) ... ok (0.004s) 2022-11-23T01:26:06.4803688Z test_call_to_assert_with_empty_msg (__main__.TestFXExperimental) ... ok (0.003s) 2022-11-23T01:26:06.4804408Z test_call_to_assert_with_msg (__main__.TestFXExperimental) ... ok (0.003s) 2022-11-23T01:26:06.4805355Z test_call_to_assert_with_multiline_message (__main__.TestFXExperimental) ... ok (0.003s) 2022-11-23T01:26:06.4806083Z test_conv_bn_fusion (__main__.TestFXExperimental) ... ok (1.103s) 2022-11-23T01:26:06.4806806Z test_conv_bn_fusion_not_running_state (__main__.TestFXExperimental) ... ok (0.020s) 2022-11-23T01:26:06.4807556Z test_cost_aware_partition (__main__.TestFXExperimental) ... ok (0.012s) 2022-11-23T01:26:06.4808250Z test_fetch (__main__.TestFXExperimental) ... ok (0.004s) 2022-11-23T01:26:06.4808910Z test_find_single_partition (__main__.TestFXExperimental) ... ok (0.004s) 2022-11-23T01:26:06.4809597Z test_lack_of_devices (__main__.TestFXExperimental) ... ok (0.003s) 2022-11-23T01:26:06.4810272Z test_large_node_error (__main__.TestFXExperimental) ... ok (0.003s) 2022-11-23T01:26:06.4810898Z test_merge_matmuls (__main__.TestFXExperimental) 2022-11-23T01:26:06.4811586Z A collection of test cases for torch.fx.experimental.merge_matmul, ... ok (0.028s) 2022-11-23T01:26:06.4812325Z test_meta_tracer (__main__.TestFXExperimental) ... ok (0.020s) 2022-11-23T01:26:06.4812982Z test_normalize_args (__main__.TestFXExperimental) ... ok (0.565s) 2022-11-23T01:26:06.4814595Z test_normalize_args_perserve_type (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/fx/operator_schemas.py:207: UserWarning: Does not support nested parametric types, got typing.List[~t]. Please file a bug. 2022-11-23T01:26:06.4815576Z warnings.warn( 2022-11-23T01:26:06.4816273Z ok (0.008s) 2022-11-23T01:26:06.4816855Z test_normalize_args_preserve_meta (__main__.TestFXExperimental) ... ok (0.006s) 2022-11-23T01:26:06.4817601Z test_normalize_binary_operators (__main__.TestFXExperimental) ... ok (0.162s) 2022-11-23T01:26:06.4818349Z test_normalize_modules_exhaustive (__main__.TestFXExperimental) 2022-11-23T01:26:06.4820467Z Exhaustively test `Node.normalized_arguments` on all standard ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T01:26:06.4821939Z return F.conv1d(input, weight, bias, self.stride, 2022-11-23T01:26:06.4822573Z ok (1.654s) 2022-11-23T01:26:06.4823167Z test_optimize_for_inference_cpu (__main__.TestFXExperimental) ... ok (0.273s) 2022-11-23T01:26:06.4823994Z test_optimize_for_inference_cpu_torchvision (__main__.TestFXExperimental) ... ok (8.359s) 2022-11-23T01:26:06.4824771Z test_partition_device_mapping (__main__.TestFXExperimental) ... ok (0.009s) 2022-11-23T01:26:06.4825492Z test_partition_latency (__main__.TestFXExperimental) ... ok (0.007s) 2022-11-23T01:26:06.4826238Z test_partition_node_manipulation (__main__.TestFXExperimental) ... ok (0.005s) 2022-11-23T01:26:06.4826996Z test_replace_target_nodes_with (__main__.TestFXExperimental) ... ok (0.004s) 2022-11-23T01:26:06.4827687Z test_saturate_host (__main__.TestFXExperimental) ... [0, 4] 2022-11-23T01:26:06.4828184Z [1, 2] 2022-11-23T01:26:06.4828535Z ok (0.007s) 2022-11-23T01:26:06.4829067Z test_size_based_partition (__main__.TestFXExperimental) ... ok (0.006s) 2022-11-23T01:26:06.4829791Z test_sparse_nn_partition (__main__.TestFXExperimental) ... ok (0.106s) 2022-11-23T01:26:06.4830510Z test_split_module_default_arg (__main__.TestFXExperimental) ... ok (0.009s) 2022-11-23T01:26:06.4831260Z test_split_module_kwargs_expansion (__main__.TestFXExperimental) ... ok (0.005s) 2022-11-23T01:26:06.4831963Z test_split_qualname_mapping (__main__.TestFXExperimental) ... ok (0.006s) 2022-11-23T01:26:06.4832660Z test_subgraph_creation (__main__.TestFXExperimental) ... ok (0.006s) 2022-11-23T01:26:06.4833392Z test_subgraph_trivial_resnet (__main__.TestFXExperimental) ... ok (0.159s) 2022-11-23T01:26:06.4834099Z test_subgraph_uniquename (__main__.TestFXExperimental) ... ok (0.007s) 2022-11-23T01:26:06.4835688Z test_to_folder (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph_module.py:476: UserWarning: Was not able to save the following children modules as reprs -saved as pickled files instead: ['seq'] 2022-11-23T01:26:06.4836913Z warnings.warn("Was not able to save the following children modules as reprs -" 2022-11-23T01:26:06.4837484Z ok (0.009s) 2022-11-23T01:26:06.4838083Z test_traceable_function_with_nonstandard_name (__main__.TestFXExperimental) ... ok (0.003s) 2022-11-23T01:26:06.4838850Z test_type_matches (__main__.TestFXExperimental) ... ok (0.002s) 2022-11-23T01:26:06.4839253Z 2022-11-23T01:26:06.4839705Z ---------------------------------------------------------------------- 2022-11-23T01:26:06.4840331Z Ran 38 tests in 14.349s 2022-11-23T01:26:06.4840589Z 2022-11-23T01:26:06.4840727Z OK 2022-11-23T01:26:06.4840930Z 2022-11-23T01:26:06.4841159Z Generating XML reports... 2022-11-23T01:26:06.4842221Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20221123012551.xml 2022-11-23T01:26:06.4842853Z 2022-11-23T01:26:06.4843403Z ##[endgroup] 2022-11-23T01:26:06.4844349Z FINISHED PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_e0kxr_gg) 2022-11-23T01:26:06.4845044Z 2022-11-23T01:26:08.4454882Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:26:08.5274818Z Ignoring disabled issues: [] 2022-11-23T01:26:08.5437018Z Running test_fx_passes ... [2022-11-23 01:26:08.543377] 2022-11-23T01:26:08.5439117Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_passes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:08.543681] 2022-11-23T01:26:10.8776825Z 2022-11-23T01:26:10.8777363Z Expand the folded group to see the log file of test_fx_passes 2022-11-23T01:26:10.8778444Z ##[group]PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes_ux1u6czc) 2022-11-23T01:26:10.8778895Z 2022-11-23T01:26:10.8779030Z Running tests... 2022-11-23T01:26:10.8779576Z ---------------------------------------------------------------------- 2022-11-23T01:26:10.8779961Z Test results will be stored in test-reports/python-unittest/test_fx_passes 2022-11-23T01:26:10.8780392Z test_fuser_util_partition_[['add', 'add_1', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.255s) 2022-11-23T01:26:10.8781034Z test_fuser_util_partition_[['add', 'add_1'], ['add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8781550Z test_fuser_util_partition_[['add', 'linear', 'add_1', 'param', 'add_2', 'add_3', 'add_4', 'linear2', 'add_5', 'add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.007s) 2022-11-23T01:26:10.8782001Z test_fuser_util_partition_[['add_2', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8782400Z test_fuser_util_partition_[['add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8782826Z test_fuser_util_partition_[['add_4', 'add_1', 'add_3', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8783267Z test_fuser_util_partition_[['add_5', 'add_6'], ['add_1', 'add_2', 'add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8783690Z test_fuser_util_partition_[['add_5', 'linear2']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8784090Z test_fuser_util_partition_[['add_6', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8784486Z test_fuser_util_partition_[['add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8784885Z test_fuser_util_partition_[['param', 'add_1', 'linear']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8785289Z test_fuser_util_partition_[['param', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8785707Z test_fuser_util_xfail_partition_[['add', 'add_1', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.003s) 2022-11-23T01:26:10.8786145Z test_fuser_util_xfail_partition_[['add', 'add_1'], ['add_1', 'add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.003s) 2022-11-23T01:26:10.8786569Z test_fuser_util_xfail_partition_[['add_4', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.003s) 2022-11-23T01:26:10.8786978Z test_fuser_util_xfail_partition_[['relu', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.003s) 2022-11-23T01:26:10.8787637Z test_partitioner_fn__expected_partition_[['add_7', 'add_6'], ['add_5', 'add_4', 'add_3'], ['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.007s) 2022-11-23T01:26:10.8788360Z test_partitioner_fn__expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.013s) 2022-11-23T01:26:10.8789049Z test_partitioner_fn__expected_partition_[['add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8789760Z test_partitioner_fn__expected_partition_[['add_2'], ['add_3', 'add_4', 'add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.007s) 2022-11-23T01:26:10.8790539Z test_partitioner_fn__expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8791259Z test_partitioner_fn__expected_partition_[['add', 'std_mean', 'getitem', 'getitem_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8792037Z test_partitioner_fn__expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8792761Z test_partitioner_fn__expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8793561Z test_partitioner_fn__expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8794282Z test_partitioner_fn__expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8794981Z test_partitioner_fn__expected_partition_[['add_3', 'add_2'], ['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8795673Z test_partitioner_fn__expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8796344Z test_partitioner_fn__expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.007s) 2022-11-23T01:26:10.8797021Z test_partitioner_fn__expected_partition_[['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8797671Z test_partitioner_fn__expected_partition_[['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8798356Z test_partitioner_fn__expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s) 2022-11-23T01:26:10.8799050Z test_partitioner_fn__expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.008s) 2022-11-23T01:26:10.8799737Z test_partitioner_fn__expected_partition_[['add_3', 'add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s) 2022-11-23T01:26:10.8800390Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8800908Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8801448Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8801999Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8802532Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.005s) 2022-11-23T01:26:10.8803151Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.005s) 2022-11-23T01:26:10.8803753Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8804312Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8805078Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8805753Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.003s) 2022-11-23T01:26:10.8806437Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.005s) 2022-11-23T01:26:10.8807056Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.005s) 2022-11-23T01:26:10.8807728Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8808297Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.004s) 2022-11-23T01:26:10.8808779Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.005s) 2022-11-23T01:26:10.8809246Z test_subgraph_matcher_test_model_ (__main__.TestFXMatcherUtils) ... ok (0.003s) 2022-11-23T01:26:10.8809448Z 2022-11-23T01:26:10.8809652Z ---------------------------------------------------------------------- 2022-11-23T01:26:10.8809900Z Ran 50 tests in 0.508s 2022-11-23T01:26:10.8810017Z 2022-11-23T01:26:10.8810077Z OK 2022-11-23T01:26:10.8810168Z 2022-11-23T01:26:10.8810239Z Generating XML reports... 2022-11-23T01:26:10.8810660Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXGraphPasses-20221123012609.xml 2022-11-23T01:26:10.8811187Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXMatcherUtils-20221123012609.xml 2022-11-23T01:26:10.8811416Z 2022-11-23T01:26:10.8811704Z ##[endgroup] 2022-11-23T01:26:10.8812083Z FINISHED PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes_ux1u6czc) 2022-11-23T01:26:10.8812295Z 2022-11-23T01:26:12.8724920Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:26:12.9508679Z Ignoring disabled issues: [] 2022-11-23T01:26:12.9667256Z Running test_fx_reinplace_pass ... [2022-11-23 01:26:12.966390] 2022-11-23T01:26:12.9669455Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:12.966676] 2022-11-23T01:26:15.2685560Z 2022-11-23T01:26:15.2686147Z Expand the folded group to see the log file of test_fx_reinplace_pass 2022-11-23T01:26:15.2687263Z ##[group]PRINTING LOG FILE of test_fx_reinplace_pass (/var/lib/jenkins/workspace/test/test-reports/test_fx_reinplace_pass_0f9ld6lx) 2022-11-23T01:26:15.2687698Z 2022-11-23T01:26:15.2687809Z Running tests... 2022-11-23T01:26:15.2688455Z ---------------------------------------------------------------------- 2022-11-23T01:26:15.2689160Z Test results will be stored in test-reports/python-unittest/test_fx_reinplace_pass 2022-11-23T01:26:15.2689699Z test_out_node_updated (__main__.TestReinplacePass) ... ok (0.259s) 2022-11-23T01:26:15.2690183Z test_reinplace_basic (__main__.TestReinplacePass) ... ok (0.006s) 2022-11-23T01:26:15.2690711Z test_reinplace_different_metadata (__main__.TestReinplacePass) ... ok (0.007s) 2022-11-23T01:26:15.2691236Z test_reinplace_index_mutation (__main__.TestReinplacePass) ... ok (0.018s) 2022-11-23T01:26:15.2691781Z test_reinplace_overlapping_memory (__main__.TestReinplacePass) ... ok (0.007s) 2022-11-23T01:26:15.2692534Z test_reinplace_scatter_op (__main__.TestReinplacePass) ... ok (0.056s) 2022-11-23T01:26:15.2693055Z test_reinplace_scatter_twice (__main__.TestReinplacePass) ... ok (0.056s) 2022-11-23T01:26:15.2693613Z test_reinplace_scatter_twice_with_different_view_op_invalid (__main__.TestReinplacePass) ... ok (0.013s) 2022-11-23T01:26:15.2694224Z test_reinplace_scatter_twice_with_different_view_op_invalid2 (__main__.TestReinplacePass) ... ok (0.012s) 2022-11-23T01:26:15.2694891Z test_reinplace_scatter_twice_with_different_view_op_valid (__main__.TestReinplacePass) ... ok (0.012s) 2022-11-23T01:26:15.2695449Z test_reinplace_with_view (__main__.TestReinplacePass) ... ok (0.008s) 2022-11-23T01:26:15.2695730Z 2022-11-23T01:26:15.2696099Z ---------------------------------------------------------------------- 2022-11-23T01:26:15.2696697Z Ran 11 tests in 0.454s 2022-11-23T01:26:15.2696898Z 2022-11-23T01:26:15.2697000Z OK 2022-11-23T01:26:15.2697158Z 2022-11-23T01:26:15.2697283Z Generating XML reports... 2022-11-23T01:26:15.2698011Z Generated XML report: test-reports/python-unittest/test_fx_reinplace_pass/TEST-TestReinplacePass-20221123012614.xml 2022-11-23T01:26:15.2698431Z 2022-11-23T01:26:15.2698857Z ##[endgroup] 2022-11-23T01:26:15.2699562Z FINISHED PRINTING LOG FILE of test_fx_reinplace_pass (/var/lib/jenkins/workspace/test/test-reports/test_fx_reinplace_pass_0f9ld6lx) 2022-11-23T01:26:15.2699938Z 2022-11-23T01:26:17.2452223Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:26:17.3245356Z Ignoring disabled issues: [] 2022-11-23T01:26:17.3406878Z Running test_hub ... [2022-11-23 01:26:17.340335] 2022-11-23T01:26:17.3408627Z Executing ['/opt/conda/bin/python', '-bb', 'test_hub.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:17.340671] 2022-11-23T01:26:19.0493852Z 2022-11-23T01:26:19.0495598Z Expand the folded group to see the log file of test_hub 2022-11-23T01:26:19.0496544Z ##[group]PRINTING LOG FILE of test_hub (/var/lib/jenkins/workspace/test/test-reports/test_hub_cdktnpg7) 2022-11-23T01:26:19.0496757Z 2022-11-23T01:26:19.0496973Z ##[endgroup] 2022-11-23T01:26:19.0497446Z FINISHED PRINTING LOG FILE of test_hub (/var/lib/jenkins/workspace/test/test-reports/test_hub_cdktnpg7) 2022-11-23T01:26:19.0497647Z 2022-11-23T01:26:21.0228278Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:26:21.1028929Z Ignoring disabled issues: [] 2022-11-23T01:26:21.1187495Z Running test_import_stats ... [2022-11-23 01:26:21.118413] 2022-11-23T01:26:21.1189172Z Executing ['/opt/conda/bin/python', '-bb', 'test_import_stats.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:21.118712] 2022-11-23T01:26:26.0809508Z 2022-11-23T01:26:26.0810003Z Expand the folded group to see the log file of test_import_stats 2022-11-23T01:26:26.0811228Z ##[group]PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_1gbt0hy0) 2022-11-23T01:26:26.0811778Z 2022-11-23T01:26:26.0811959Z Running tests... 2022-11-23T01:26:26.0812780Z ---------------------------------------------------------------------- 2022-11-23T01:26:26.0813683Z Test results will be stored in test-reports/python-unittest/test_import_stats 2022-11-23T01:26:26.0814402Z test_time_cuda_device_count (__main__.TestImportTime) ... ok (1.725s) 2022-11-23T01:26:26.0815085Z test_time_import_torch (__main__.TestImportTime) ... ok (1.486s) 2022-11-23T01:26:26.0815468Z 2022-11-23T01:26:26.0815931Z ---------------------------------------------------------------------- 2022-11-23T01:26:26.0816490Z Ran 2 tests in 3.211s 2022-11-23T01:26:26.0816758Z 2022-11-23T01:26:26.0816899Z OK 2022-11-23T01:26:26.0817112Z 2022-11-23T01:26:26.0817311Z Generating XML reports... 2022-11-23T01:26:26.0818313Z Generated XML report: test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20221123012622.xml 2022-11-23T01:26:26.0818889Z 2022-11-23T01:26:26.0819416Z ##[endgroup] 2022-11-23T01:26:26.0820576Z FINISHED PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_1gbt0hy0) 2022-11-23T01:26:26.0821117Z 2022-11-23T01:26:28.0778323Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:26:28.1596568Z Ignoring disabled issues: [] 2022-11-23T01:26:28.1754760Z Running test_itt ... [2022-11-23 01:26:28.175107] 2022-11-23T01:26:28.1756119Z Executing ['/opt/conda/bin/python', '-bb', 'test_itt.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:28.175405] 2022-11-23T01:26:30.1847504Z 2022-11-23T01:26:30.1847945Z Expand the folded group to see the log file of test_itt 2022-11-23T01:26:30.1848892Z ##[group]PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_kkjzzy29) 2022-11-23T01:26:30.1849175Z 2022-11-23T01:26:30.1849457Z Running tests... 2022-11-23T01:26:30.1850006Z ---------------------------------------------------------------------- 2022-11-23T01:26:30.1896252Z Test results will be stored in test-reports/python-unittest/test_itt 2022-11-23T01:26:30.1896671Z test_itt (__main__.TestItt) ... ok (0.249s) 2022-11-23T01:26:30.1896810Z 2022-11-23T01:26:30.1897020Z ---------------------------------------------------------------------- 2022-11-23T01:26:30.1897262Z Ran 1 test in 0.249s 2022-11-23T01:26:30.1897377Z 2022-11-23T01:26:30.1897424Z OK 2022-11-23T01:26:30.1897519Z 2022-11-23T01:26:30.1897604Z Generating XML reports... 2022-11-23T01:26:30.1897993Z Generated XML report: test-reports/python-unittest/test_itt/TEST-TestItt-20221123012629.xml 2022-11-23T01:26:30.1898201Z 2022-11-23T01:26:30.1898495Z ##[endgroup] 2022-11-23T01:26:30.1898856Z FINISHED PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_kkjzzy29) 2022-11-23T01:26:30.1899060Z 2022-11-23T01:26:32.1837594Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:26:32.2632127Z Ignoring disabled issues: [] 2022-11-23T01:26:32.2791944Z Running test_jit ... [2022-11-23 01:26:32.278880] 2022-11-23T01:26:32.2793766Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:32.279182] 2022-11-23T01:28:49.0612960Z 2022-11-23T01:28:49.0613446Z Expand the folded group to see the log file of test_jit 2022-11-23T01:28:49.0614352Z ##[group]PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_x8cdaanv) 2022-11-23T01:28:49.0686299Z CUDA not available, skipping tests 2022-11-23T01:28:49.0686570Z 2022-11-23T01:28:49.0686689Z Running tests... 2022-11-23T01:28:49.0687117Z ---------------------------------------------------------------------- 2022-11-23T01:28:49.0687875Z Test results will be stored in test-reports/python-unittest/test_jit 2022-11-23T01:28:49.0688415Z test_becomes_wildcard_annotations (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.002s) 2022-11-23T01:28:49.0689372Z test_nested_list_construct_not_wildcard (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.010s) 2022-11-23T01:28:49.0689961Z test_recursive_calls (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.014s) 2022-11-23T01:28:49.0690477Z test_async_future_type_python (jit.test_async.TestAsync) ... ok (0.001s) 2022-11-23T01:28:49.0690954Z test_async_grad_guard_no_grad (jit.test_async.TestAsync) ... ok (0.044s) 2022-11-23T01:28:49.0691459Z test_async_grad_guard_with_grad (jit.test_async.TestAsync) ... ok (0.007s) 2022-11-23T01:28:49.0691907Z test_async_kwargs (jit.test_async.TestAsync) ... ok (0.201s) 2022-11-23T01:28:49.0692352Z test_async_parsing (jit.test_async.TestAsync) ... ok (0.009s) 2022-11-23T01:28:49.0692796Z test_async_python (jit.test_async.TestAsync) ... ok (0.003s) 2022-11-23T01:28:49.0693242Z test_async_script (jit.test_async.TestAsync) ... ok (0.006s) 2022-11-23T01:28:49.0693755Z test_async_script_capture (jit.test_async.TestAsync) ... ok (0.008s) 2022-11-23T01:28:49.0694180Z test_async_script_error (jit.test_async.TestAsync) ... ok (0.031s) 2022-11-23T01:28:49.0694895Z test_async_script_multi_forks (jit.test_async.TestAsync) ... ok (0.016s) 2022-11-23T01:28:49.0695372Z test_async_script_multi_waits (jit.test_async.TestAsync) ... ok (0.006s) 2022-11-23T01:28:49.0695847Z test_async_script_nested (jit.test_async.TestAsync) ... ok (0.010s) 2022-11-23T01:28:49.0696338Z test_async_script_no_script_mod (jit.test_async.TestAsync) ... ok (0.002s) 2022-11-23T01:28:49.0696796Z test_async_script_trace (jit.test_async.TestAsync) ... ok (0.034s) 2022-11-23T01:28:49.0697246Z test_future_subtyping (jit.test_async.TestAsync) 2022-11-23T01:28:49.0697694Z Test that futures subtype each other properly. ... ok (0.010s) 2022-11-23T01:28:49.0698159Z test_no_future_subtype_message (jit.test_async.TestAsync) ... ok (0.002s) 2022-11-23T01:28:49.0698613Z test_trace_fork_wait (jit.test_async.TestAsync) ... ok (0.010s) 2022-11-23T01:28:49.0699165Z test_trace_fork_wait_inline (jit.test_async.TestAsync) ... ok (0.008s) 2022-11-23T01:28:49.0699707Z test_trace_fork_wait_leaking (jit.test_async.TestAsync) ... ok (0.002s) 2022-11-23T01:28:49.0700263Z test_trace_fork_wait_list_modulecalls (jit.test_async.TestAsync) ... ok (0.025s) 2022-11-23T01:28:49.0700846Z test_trace_modulecalls_with_different_output_types (jit.test_async.TestAsync) ... ok (0.015s) 2022-11-23T01:28:49.0701409Z test_aten_pow_zero_negative_exponent (jit.test_aten_pow.TestAtenPow) 2022-11-23T01:28:49.0701838Z 1. Testing a = int, b = int ... ok (0.022s) 2022-11-23T01:28:49.0702283Z test_autodiff_requires_grad_nograd (jit.test_autodiff.TestAutodiffJit) ... ok (0.086s) 2022-11-23T01:28:49.0703024Z test_requires_grad_outputs (jit.test_autodiff.TestAutodiffJit) ... ok (0.053s) 2022-11-23T01:28:49.0703597Z test_requires_grad_outputs_profiled_twice (jit.test_autodiff.TestAutodiffJit) ... ok (0.120s) 2022-11-23T01:28:49.0704168Z test_requires_grad_outputs_side_effects (jit.test_autodiff.TestAutodiffJit) ... ok (0.119s) 2022-11-23T01:28:49.0704736Z test_undefined_tensor_lists (jit.test_autodiff.TestAutodiffJit) ... ok (0.118s) 2022-11-23T01:28:49.0705352Z test_aliased_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.003s) 2022-11-23T01:28:49.0706020Z test_bias_as_arg (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.371s) 2022-11-23T01:28:49.0706666Z test_bias_as_module_attr (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.322s) 2022-11-23T01:28:49.0707373Z test_chunk_constant_script_ad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:28:49.0708157Z test_constructed_bias (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.023s) 2022-11-23T01:28:49.0708852Z test_diff_graph_inline_threshold (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.007s) 2022-11-23T01:28:49.0709699Z test_differentiable_graph_ops_requires_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: disable until we property handle tensor lists with undefined gradients (0.001s) 2022-11-23T01:28:49.0710555Z test_does_not_create_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0711239Z test_does_not_merge_unrelated (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0711979Z test_has_profiled_info_aliasing_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.001s) 2022-11-23T01:28:49.0712777Z test_merge_respects_aliasing (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.010s) 2022-11-23T01:28:49.0713518Z test_merges_dense (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0714000Z test_merges_down (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0714393Z test_merges_up (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0714872Z test_merges_without_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0715491Z test_prune_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: Simple Executor doesn't support gradients (0.001s) 2022-11-23T01:28:49.0715946Z test_requires_grad_for_tensor_list (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0716371Z test_respects_lexical_scoping (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.007s) 2022-11-23T01:28:49.0716767Z test_simple_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:28:49.0717173Z test_simple_no_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:28:49.0717785Z test_errors (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:28:49.0718279Z ok (0.144s) 2022-11-23T01:28:49.0718733Z test_execution (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:28:49.0719147Z ok (0.134s) 2022-11-23T01:28:49.0719599Z test_save_load (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:28:49.0720104Z ok (0.242s) 2022-11-23T01:28:49.0720361Z test_errors (jit.test_backends.TestBackendsWithCompiler) ... ok (0.046s) 2022-11-23T01:28:49.0720694Z test_execution (jit.test_backends.TestBackendsWithCompiler) ... ok (0.067s) 2022-11-23T01:28:49.0721012Z test_batch_mm_no_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.006s) 2022-11-23T01:28:49.0721324Z test_batch_mm_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.007s) 2022-11-23T01:28:49.0721630Z test_batch_mm_prohibited_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.006s) 2022-11-23T01:28:49.0721957Z test_batch_mm_prohibited_mutation_if_node (jit.test_batch_mm.TestBatchMM) ... ok (0.008s) 2022-11-23T01:28:49.0722298Z test_batch_mm_prohibited_mutation_multiple_adds (jit.test_batch_mm.TestBatchMM) ... ok (0.008s) 2022-11-23T01:28:49.0722634Z test_batch_mm_side_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.008s) 2022-11-23T01:28:49.0722966Z test_batch_mm_side_prohibited_mutation_common_side (jit.test_batch_mm.TestBatchMM) ... ok (0.009s) 2022-11-23T01:28:49.0723327Z test_batch_mm_side_prohibited_mutation_uncommon_side (jit.test_batch_mm.TestBatchMM) ... ok (0.010s) 2022-11-23T01:28:49.0723640Z test_del (jit.test_builtins.TestBuiltins) ... ok (0.006s) 2022-11-23T01:28:49.0723936Z test_del_multiple_operands (jit.test_builtins.TestBuiltins) ... ok (0.008s) 2022-11-23T01:28:49.0724219Z test_has_attr (jit.test_builtins.TestBuiltins) ... ok (0.018s) 2022-11-23T01:28:49.0724517Z test_has_attr_invalid_args (jit.test_builtins.TestBuiltins) ... ok (0.009s) 2022-11-23T01:28:49.0725008Z test_cast_overloads (jit.test_class_type.TestClassType) ... ok (0.040s) 2022-11-23T01:28:49.0725302Z test_class_attribute_wrong_type (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0725620Z Test that the error message displayed when convering a class type ... ok (0.020s) 2022-11-23T01:28:49.0725929Z test_class_constant (jit.test_class_type.TestClassType) ... ok (0.033s) 2022-11-23T01:28:49.0726227Z test_class_constructs_itself (jit.test_class_type.TestClassType) ... ok (0.133s) 2022-11-23T01:28:49.0726547Z test_class_inheritance (jit.test_class_type.TestClassType) ... ok (0.013s) 2022-11-23T01:28:49.0726926Z test_class_inheritance_implicit (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0727206Z Test that inheritance is detected in ... ok (0.032s) 2022-11-23T01:28:49.0727470Z test_class_sorting (jit.test_class_type.TestClassType) ... ok (0.087s) 2022-11-23T01:28:49.0727782Z test_class_specialization (jit.test_class_type.TestClassType) ... ok (0.078s) 2022-11-23T01:28:49.0728100Z test_class_type_as_param (jit.test_class_type.TestClassType) ... ok (0.017s) 2022-11-23T01:28:49.0728377Z test_classmethod (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0728639Z Test classmethods on class types. ... ok (0.023s) 2022-11-23T01:28:49.0729011Z test_conditional_set_attr (jit.test_class_type.TestClassType) ... ok (0.122s) 2022-11-23T01:28:49.0729302Z test_custom_delete (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0729624Z Test that del can be called on an instance of a class that ... ok (0.044s) 2022-11-23T01:28:49.0729911Z test_default_args (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0730202Z Test that methods on class types can have default arguments. ... ok (0.097s) 2022-11-23T01:28:49.0730483Z test_get_attr (jit.test_class_type.TestClassType) ... ok (0.013s) 2022-11-23T01:28:49.0730795Z test_get_attr_not_initialized (jit.test_class_type.TestClassType) ... ok (0.011s) 2022-11-23T01:28:49.0731111Z test_get_with_method (jit.test_class_type.TestClassType) ... ok (0.001s) 2022-11-23T01:28:49.0731406Z test_imported_classes (jit.test_class_type.TestClassType) ... ok (0.017s) 2022-11-23T01:28:49.0731698Z test_in (jit.test_class_type.TestClassType) ... ok (0.015s) 2022-11-23T01:28:49.0731988Z test_init_compiled_first (jit.test_class_type.TestClassType) ... ok (0.129s) 2022-11-23T01:28:49.0732288Z test_interface (jit.test_class_type.TestClassType) ... ok (0.144s) 2022-11-23T01:28:49.0732587Z test_optional_type_promotion (jit.test_class_type.TestClassType) ... ok (0.148s) 2022-11-23T01:28:49.0732903Z test_out_of_order_methods (jit.test_class_type.TestClassType) ... ok (0.016s) 2022-11-23T01:28:49.0733206Z test_overloaded_fn (jit.test_class_type.TestClassType) ... ok (0.144s) 2022-11-23T01:28:49.0733478Z test_properties (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0733776Z Test that a scripted class can make use of the @property decorator. ... ok (0.072s) 2022-11-23T01:28:49.0734110Z test_py_class_to_ivalue_missing_attribute (jit.test_class_type.TestClassType) ... ok (0.020s) 2022-11-23T01:28:49.0734429Z test_python_interop (jit.test_class_type.TestClassType) ... ok (0.016s) 2022-11-23T01:28:49.0734702Z test_recursive_class (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0735013Z Recursive class types not yet supported. We should give a good error message. ... ok (0.129s) 2022-11-23T01:28:49.0735348Z test_recursive_script_builtin_type_resolution (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0735844Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled. ... ok (0.053s) 2022-11-23T01:28:49.0736223Z test_recursive_script_module_builtin_type_resolution (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0736695Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled ... ok (0.027s) 2022-11-23T01:28:49.0737040Z test_recursive_scripting (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0737341Z Test that class types are recursively scripted when an Python instance of one ... ok (0.025s) 2022-11-23T01:28:49.0737668Z test_recursive_scripting_failed (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0737974Z Test that class types module attributes that fail to script ... ok (0.046s) 2022-11-23T01:28:49.0738253Z test_reference_semantics (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0738551Z Test that modifications made to a class instance in TorchScript ... ok (0.016s) 2022-11-23T01:28:49.0738870Z test_save_load_with_classes (jit.test_class_type.TestClassType) ... ok (0.017s) 2022-11-23T01:28:49.0739236Z test_save_load_with_classes_nested (jit.test_class_type.TestClassType) ... ok (0.156s) 2022-11-23T01:28:49.0739556Z test_save_load_with_classes_returned (jit.test_class_type.TestClassType) ... ok (0.018s) 2022-11-23T01:28:49.0739865Z test_schema_human_readable (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0740232Z Make sure that the schema is human readable, ie the mode parameter should read "nearest" instead of being displayed in octal ... ok (0.215s) 2022-11-23T01:28:49.0740596Z test_self_referential_method (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0740900Z Test that a scripted class can have a method that refers to the class itself ... ok (0.025s) 2022-11-23T01:28:49.0741218Z test_set_attr_in_method (jit.test_class_type.TestClassType) ... ok (0.015s) 2022-11-23T01:28:49.0741569Z test_set_attr_non_initialized (jit.test_class_type.TestClassType) ... ok (0.011s) 2022-11-23T01:28:49.0741873Z test_set_attr_type_mismatch (jit.test_class_type.TestClassType) ... ok (0.011s) 2022-11-23T01:28:49.0742174Z test_staticmethod (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0742431Z Test static methods on class types. ... ok (0.031s) 2022-11-23T01:28:49.0742680Z test_type_annotation (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0742986Z Test that annotating container attributes with types works correctly ... ok (0.021s) 2022-11-23T01:28:49.0743302Z test_type_annotations (jit.test_class_type.TestClassType) ... ok (0.129s) 2022-11-23T01:28:49.0743624Z test_unresolved_class_attributes (jit.test_class_type.TestClassType) ... ok (0.022s) 2022-11-23T01:28:49.0743913Z test_unused_method (jit.test_class_type.TestClassType) 2022-11-23T01:28:49.0744178Z Test unused methods on scripted classes. ... ok (0.026s) 2022-11-23T01:28:49.0744465Z test_binary_op_complex_tensor (jit.test_complex.TestComplex) ... ok (0.017s) 2022-11-23T01:28:49.0744758Z test_comparison_ops (jit.test_complex.TestComplex) ... ok (0.013s) 2022-11-23T01:28:49.0745067Z test_complex_constants_and_ops (jit.test_complex.TestComplex) ... ok (0.452s) 2022-11-23T01:28:49.0745373Z test_complex_constructor (jit.test_complex.TestComplex) ... ok (0.048s) 2022-11-23T01:28:49.0745674Z test_complex_list_sum (jit.test_complex.TestComplex) ... ok (0.004s) 2022-11-23T01:28:49.0745950Z test_complex_parse (jit.test_complex.TestComplex) ... ok (0.007s) 2022-11-23T01:28:49.0746237Z test_complexdict (jit.test_complex.TestComplex) ... ok (0.004s) 2022-11-23T01:28:49.0746518Z test_complexlist (jit.test_complex.TestComplex) ... ok (0.003s) 2022-11-23T01:28:49.0746780Z test_div (jit.test_complex.TestComplex) ... ok (0.003s) 2022-11-23T01:28:49.0747058Z test_infj_nanj_pickle (jit.test_complex.TestComplex) ... ok (0.007s) 2022-11-23T01:28:49.0747337Z test_pickle (jit.test_complex.TestComplex) ... ok (0.007s) 2022-11-23T01:28:49.0747600Z test_script (jit.test_complex.TestComplex) ... ok (0.003s) 2022-11-23T01:28:49.0747888Z test_tensor_attributes (jit.test_complex.TestComplex) ... ok (0.007s) 2022-11-23T01:28:49.0748209Z test_torch_complex_constructor_with_tensor (jit.test_complex.TestComplex) ... ok (0.037s) 2022-11-23T01:28:49.0749784Z test_calling_scripted_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s) 2022-11-23T01:28:49.0750154Z test_calling_traced_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.005s) 2022-11-23T01:28:49.0750527Z test_default_arguments_are_used (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0750893Z test_dynamic_op_registry (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s) 2022-11-23T01:28:49.0751250Z test_generic_list (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0751598Z test_passing_and_returning_lists (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0751999Z test_passing_one_positional_but_not_the_second (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0752448Z test_passing_too_few_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0752798Z test_passing_too_many_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0753161Z test_passing_unknown_kwargs (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0753536Z test_script_graph_contains_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s) 2022-11-23T01:28:49.0754013Z test_script_graph_for_custom_ops_matches_traced_graph (jit.test_custom_operators.TestCustomOperators) ... skip: Need to figure out default dtype differences between fbcode and oss (0.000s) 2022-11-23T01:28:49.0754459Z test_simply_calling_an_operator (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:28:49.0754857Z test_where_no_scalar (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s) 2022-11-23T01:28:49.0755167Z test_setattr_no_aliasdb (jit.test_dce.TestDCE) ... ok (0.005s) 2022-11-23T01:28:49.0755441Z test_setattr_removed (jit.test_dce.TestDCE) ... ok (0.008s) 2022-11-23T01:28:49.0755874Z test_python_submodule_script (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:28:49.0756360Z test_shared_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:28:49.0756831Z test_tensor_sharing (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:28:49.0757306Z test_tensor_sharing_with_forward (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:28:49.0757788Z test_traced_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:28:49.0758140Z test__post_init__ (jit.test_dataclasses.TestDataclasses) ... ok (3.332s) 2022-11-23T01:28:49.0758463Z test_comparators (jit.test_dataclasses.TestDataclasses) ... ok (4.733s) 2022-11-23T01:28:49.0758771Z test_custom__eq__ (jit.test_dataclasses.TestDataclasses) ... ok (0.011s) 2022-11-23T01:28:49.0759199Z test_default_factories (jit.test_dataclasses.TestDataclasses) ... ok (0.003s) 2022-11-23T01:28:49.0759523Z test_init_vars (jit.test_dataclasses.TestDataclasses) ... ok (0.081s) 2022-11-23T01:28:49.0759827Z test_no_source (jit.test_dataclasses.TestDataclasses) ... ok (0.018s) 2022-11-23T01:28:49.0760306Z test_use_unregistered_dataclass_raises (jit.test_dataclasses.TestDataclasses) ... ok (0.002s) 2022-11-23T01:28:49.0760662Z test_custom_device_op (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.008s) 2022-11-23T01:28:49.0761003Z test_device_apply (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.002s) 2022-11-23T01:28:49.0761317Z test_device_arg (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:28:49.0761662Z test_device_if_propagation (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:28:49.0762011Z test_if_loop_mix (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s) 2022-11-23T01:28:49.0762349Z test_loop_device_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:28:49.0762680Z test_loop_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:28:49.0763009Z test_mobilenet (jit.test_device_analysis.TestDeviceAnalysis) ... ok (3.468s) 2022-11-23T01:28:49.0763338Z test_nested_loops (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.006s) 2022-11-23T01:28:49.0763652Z test_set_dtype (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s) 2022-11-23T01:28:49.0763973Z test_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.005s) 2022-11-23T01:28:49.0764297Z test_tensor_as_fns (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.010s) 2022-11-23T01:28:49.0764633Z test_while_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s) 2022-11-23T01:28:49.0765122Z test_zerodim_cpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.012s) 2022-11-23T01:28:49.0765470Z test_zerodim_gpu (jit.test_device_analysis.TestDeviceAnalysis) ... skip: No CUDA (0.000s) 2022-11-23T01:28:49.0765820Z test_zerodim_no_device (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.023s) 2022-11-23T01:28:49.0766112Z test_aug_assign (jit.test_list_dict.TestDict) ... ok (0.019s) 2022-11-23T01:28:49.0766375Z test_basic (jit.test_list_dict.TestDict) ... ok (0.022s) 2022-11-23T01:28:49.0766634Z test_clear (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:28:49.0766875Z test_copy (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:28:49.0767131Z test_del (jit.test_list_dict.TestDict) ... ok (0.009s) 2022-11-23T01:28:49.0767409Z test_dict_bool_conversion (jit.test_list_dict.TestDict) ... ok (0.024s) 2022-11-23T01:28:49.0767743Z test_dict_preserves_order (jit.test_list_dict.TestDict) ... ok (0.083s) 2022-11-23T01:28:49.0768018Z test_dict_to_python (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:28:49.0768286Z test_dict_variance (jit.test_list_dict.TestDict) 2022-11-23T01:28:49.0768555Z `Dict[T1, _]` is not a subtype of `Dict[T2, _]`, even if `T1` is ... ok (0.012s) 2022-11-23T01:28:49.0768808Z test_get (jit.test_list_dict.TestDict) ... ok (0.009s) 2022-11-23T01:28:49.0769066Z test_get_boolkey (jit.test_list_dict.TestDict) ... ok (0.009s) 2022-11-23T01:28:49.0769333Z test_items (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:28:49.0769579Z test_key_type (jit.test_list_dict.TestDict) ... ok (0.002s) 2022-11-23T01:28:49.0769836Z test_keys (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:28:49.0770088Z test_len (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:28:49.0770339Z test_loop (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:28:49.0770590Z test_membership (jit.test_list_dict.TestDict) ... ok (0.008s) 2022-11-23T01:28:49.0770862Z test_mutability (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:28:49.0771152Z test_optional_dict_construct (jit.test_list_dict.TestDict) ... ok (0.011s) 2022-11-23T01:28:49.0771428Z test_ordered_dict (jit.test_list_dict.TestDict) ... ok (0.013s) 2022-11-23T01:28:49.0771694Z test_pop (jit.test_list_dict.TestDict) ... ok (0.011s) 2022-11-23T01:28:49.0771953Z test_popitem (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:28:49.0772210Z test_setdefault (jit.test_list_dict.TestDict) ... ok (0.008s) 2022-11-23T01:28:49.0772501Z test_type_annotation_missing_contained_type (jit.test_list_dict.TestDict) 2022-11-23T01:28:49.0772809Z Test that the use of a Dict type annotation without contained ... ok (0.003s) 2022-11-23T01:28:49.0773091Z test_update (jit.test_list_dict.TestDict) ... ok (0.011s) 2022-11-23T01:28:49.0773358Z test_update_existing_key (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:28:49.0773637Z test_values (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:28:49.0773894Z test_view (jit.test_list_dict.TestDict) ... ok (0.066s) 2022-11-23T01:28:49.0774178Z test_binary_scalar (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.009s) 2022-11-23T01:28:49.0774969Z test_binary_tensors (jit.test_dtype_analysis.TestDtypeAnalysis) ... /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py:165: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:28:49.0775488Z rand_tensor = torch.rand(shape, dtype=dtype) 2022-11-23T01:28:49.0775692Z ok (0.078s) 2022-11-23T01:28:49.0775928Z test_combined (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.008s) 2022-11-23T01:28:49.0776265Z test_conv_no_mixed_args (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.015s) 2022-11-23T01:28:49.0776599Z test_custom_rules (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.016s) 2022-11-23T01:28:49.0776908Z test_unary (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.035s) 2022-11-23T01:28:49.0777246Z test_closed_over_enum_constant (jit.test_enum.TestEnum) ... ok (0.010s) 2022-11-23T01:28:49.0777532Z test_enum_as_const (jit.test_enum.TestEnum) ... ok (0.008s) 2022-11-23T01:28:49.0777807Z test_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.009s) 2022-11-23T01:28:49.0778072Z test_enum_comp (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:28:49.0778343Z test_enum_comp_diff_classes (jit.test_enum.TestEnum) ... ok (0.011s) 2022-11-23T01:28:49.0778630Z test_enum_explicit_script (jit.test_enum.TestEnum) ... ok (0.001s) 2022-11-23T01:28:49.0778892Z test_enum_iterate (jit.test_enum.TestEnum) ... ok (0.010s) 2022-11-23T01:28:49.0779210Z test_enum_ivalue_type (jit.test_enum.TestEnum) ... ok (0.008s) 2022-11-23T01:28:49.0779486Z test_enum_module_return (jit.test_enum.TestEnum) ... ok (0.010s) 2022-11-23T01:28:49.0779803Z test_enum_name (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:28:49.0780045Z test_enum_return (jit.test_enum.TestEnum) ... ok (0.009s) 2022-11-23T01:28:49.0780305Z test_enum_value (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:28:49.0780566Z test_enum_value_types (jit.test_enum.TestEnum) ... ok (0.024s) 2022-11-23T01:28:49.0780850Z test_heterogenous_value_type_enum_error (jit.test_enum.TestEnum) ... ok (0.006s) 2022-11-23T01:28:49.0781153Z test_non_existent_enum_value (jit.test_enum.TestEnum) ... ok (0.006s) 2022-11-23T01:28:49.0781451Z test_string_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.010s) 2022-11-23T01:28:49.0781769Z test_freeze_interface_swapping_two_methods (jit.test_freezing.TestFreezing) ... ok (0.071s) 2022-11-23T01:28:49.0782137Z test_freeze_interface_within_object (jit.test_freezing.TestFreezing) ... expected failure (0.168s) 2022-11-23T01:28:49.0782473Z test_freeze_module (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-11-23T01:28:49.0782794Z test_freeze_module_detach_gradient (jit.test_freezing.TestFreezing) ... ok (0.013s) 2022-11-23T01:28:49.0783111Z test_freeze_module_in_training_mode (jit.test_freezing.TestFreezing) ... ok (0.245s) 2022-11-23T01:28:49.0783434Z test_freeze_module_inlining (jit.test_freezing.TestFreezing) ... ok (0.039s) 2022-11-23T01:28:49.0783752Z test_freeze_module_no_forward (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:28:49.0784058Z test_freeze_module_return_self (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0784381Z test_freeze_module_return_sub_module (jit.test_freezing.TestFreezing) ... ok (0.013s) 2022-11-23T01:28:49.0784712Z test_freeze_module_with_aliased_attr (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0785047Z test_freeze_module_with_aliased_attr2 (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0785366Z test_freeze_module_with_aliased_attr3 (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:28:49.0785709Z test_freeze_module_with_aliased_tensor_attr (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:28:49.0786058Z test_freeze_module_with_aliased_tensor_attr2 (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:28:49.0786400Z test_freeze_module_with_aliased_tensor_attr3 (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0786728Z test_freeze_module_with_aliased_tensor_attr4 (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:28:49.0787065Z test_freeze_module_with_call_method (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:28:49.0787386Z test_freeze_module_with_fork (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-11-23T01:28:49.0787686Z test_freeze_module_with_fork2 (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:28:49.0788026Z test_freeze_module_with_fork_calling_module_method (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:28:49.0788376Z test_freeze_module_with_helperfunction (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:28:49.0788720Z test_freeze_module_with_inplace_mutable (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:28:49.0789073Z test_freeze_module_with_list (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:28:49.0789419Z test_freeze_module_with_mutable_dict (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0789748Z test_freeze_module_with_mutable_list (jit.test_freezing.TestFreezing) ... ok (0.005s) 2022-11-23T01:28:49.0790066Z test_freeze_module_with_mutable_tensor (jit.test_freezing.TestFreezing) ... ok (0.005s) 2022-11-23T01:28:49.0790398Z test_freeze_module_with_nested_fork (jit.test_freezing.TestFreezing) ... ok (0.021s) 2022-11-23T01:28:49.0790728Z test_freeze_module_with_nestedaliasing (jit.test_freezing.TestFreezing) ... ok (0.023s) 2022-11-23T01:28:49.0791079Z test_freeze_module_with_nestedaliasingscalar (jit.test_freezing.TestFreezing) ... ok (0.019s) 2022-11-23T01:28:49.0791455Z test_freeze_module_with_non_static_module_container_index (jit.test_freezing.TestFreezing) 2022-11-23T01:28:49.0791876Z Test that Modules containing non-static ModuleDict or ModuleList ... ok (0.069s) 2022-11-23T01:28:49.0792213Z test_freeze_module_with_overlapping_attrs (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:28:49.0792546Z test_freeze_module_with_preserve_sub_module (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-11-23T01:28:49.0792906Z test_freeze_module_with_preserve_sub_module_and_mutation (jit.test_freezing.TestFreezing) ... ok (0.014s) 2022-11-23T01:28:49.0793264Z test_freeze_module_with_sharedclasstype (jit.test_freezing.TestFreezing) ... ok (0.023s) 2022-11-23T01:28:49.0793597Z test_freeze_module_with_submodule (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-11-23T01:28:49.0793903Z test_freeze_module_with_tensor (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0794218Z test_freeze_module_with_tuple (jit.test_freezing.TestFreezing) ... ok (0.008s) 2022-11-23T01:28:49.0794556Z test_freeze_module_with_tupleoutput_submodule (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:28:49.0794909Z test_freeze_module_with_user_preserved_attr (jit.test_freezing.TestFreezing) ... ok (0.005s) 2022-11-23T01:28:49.0795262Z test_freeze_module_with_user_preserved_attribute_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:28:49.0795658Z test_freeze_module_with_user_preserved_attribute_on_unused_submodule (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:28:49.0796038Z test_freeze_module_with_user_preserved_method (jit.test_freezing.TestFreezing) ... ok (0.008s) 2022-11-23T01:28:49.0796373Z test_freeze_module_with_user_preserved_method2 (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:28:49.0796744Z test_freeze_module_with_user_preserved_method_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:28:49.0797081Z test_freeze_no_forward (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:28:49.0797406Z test_freeze_non_interface_module_swap (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-11-23T01:28:49.0797727Z test_freeze_non_module_class_getattr (jit.test_freezing.TestFreezing) ... ok (0.163s) 2022-11-23T01:28:49.0798057Z test_freeze_recursive_interfaces (jit.test_freezing.TestFreezing) ... ok (0.085s) 2022-11-23T01:28:49.0798396Z test_freeze_recursive_interfaces_same_name (jit.test_freezing.TestFreezing) ... ok (0.210s) 2022-11-23T01:28:49.0798752Z test_freeze_recursive_interfaces_with_reassignment (jit.test_freezing.TestFreezing) ... ok (0.214s) 2022-11-23T01:28:49.0799086Z test_freeze_with_interface_mutable (jit.test_freezing.TestFreezing) ... ok (0.047s) 2022-11-23T01:28:49.0799416Z test_freeze_with_swapping_interfaces (jit.test_freezing.TestFreezing) ... ok (0.055s) 2022-11-23T01:28:49.0799746Z test_module_getattr_indirection (jit.test_freezing.TestFreezing) ... ok (0.176s) 2022-11-23T01:28:49.0800143Z test_module_with_shared_type_instances (jit.test_freezing.TestFreezing) ... ok (0.086s) 2022-11-23T01:28:49.0800481Z test_dictionary_as_example_inputs_for_jit_trace (__main__.TestFrontend) ... ok (0.072s) 2022-11-23T01:28:49.0800816Z test_instancing_error (__main__.TestFrontend) ... ok (0.310s) 2022-11-23T01:28:49.0801148Z test_collapse_adjacent_conversions (jit.test_freezing.TestFrozenOptimizations) ... ok (0.023s) 2022-11-23T01:28:49.0801523Z test_conv_add_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (1.428s) 2022-11-23T01:28:49.0801875Z test_conv_bn_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.384s) 2022-11-23T01:28:49.0802299Z test_conv_bn_folding_autocast_scenario_cuda (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:28:49.0802710Z test_conv_bn_folding_not_forward (jit.test_freezing.TestFrozenOptimizations) ... ok (0.012s) 2022-11-23T01:28:49.0803067Z test_conv_hardswish (jit.test_freezing.TestFrozenOptimizations) ... ok (2.900s) 2022-11-23T01:28:49.0803448Z test_conv_mul_add_bn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.071s) 2022-11-23T01:28:49.0803797Z test_conv_to_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.039s) 2022-11-23T01:28:49.0804158Z test_conv_to_mkldnn_no_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skip: Testing no mkldnn (0.001s) 2022-11-23T01:28:49.0804566Z test_freeze_conv_relu_fusion (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.001s) 2022-11-23T01:28:49.0805093Z test_freeze_conv_relu_fusion_not_forward (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.001s) 2022-11-23T01:28:49.0805475Z test_freeze_mkdlnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.006s) 2022-11-23T01:28:49.0805811Z test_freeze_remove_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.006s) 2022-11-23T01:28:49.0806178Z test_freeze_remove_feature_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.006s) 2022-11-23T01:28:49.0806551Z test_hardswish_hardsigmoid (jit.test_freezing.TestFrozenOptimizations) ... ok (0.008s) 2022-11-23T01:28:49.0806906Z test_incompatible_perf_formats (jit.test_freezing.TestFrozenOptimizations) ... ok (0.179s) 2022-11-23T01:28:49.0807317Z test_linear_concat (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:28:49.0807703Z test_linear_concat_complex (jit.test_freezing.TestFrozenOptimizations) 2022-11-23T01:28:49.0808082Z Testing that the interleaving of multiple optimizations does not ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:28:49.0808450Z test_linear_concat_different_input (jit.test_freezing.TestFrozenOptimizations) 2022-11-23T01:28:49.0808835Z There should be no change to the graph due to the optimization pass ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:28:49.0809269Z test_linear_multiple_blocks (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:28:49.0809685Z test_linear_non_constant_weight (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s) 2022-11-23T01:28:49.0810035Z test_linear_transpose (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s) 2022-11-23T01:28:49.0810388Z test_maxpool_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.215s) 2022-11-23T01:28:49.0810749Z test_mkldnn_fuser_broadcasting (jit.test_freezing.TestFrozenOptimizations) ... ok (0.023s) 2022-11-23T01:28:49.0811154Z test_mkldnn_inplace_removal (jit.test_freezing.TestFrozenOptimizations) ... ok (0.012s) 2022-11-23T01:28:49.0811526Z test_numel_less_than_size_with_padding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.015s) 2022-11-23T01:28:49.0811895Z test_optimize_freeze_module (jit.test_freezing.TestFrozenOptimizations) ... ok (0.019s) 2022-11-23T01:28:49.0812252Z test_pool2d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.386s) 2022-11-23T01:28:49.0812593Z test_pool3d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (1.031s) 2022-11-23T01:28:49.0812990Z test_remove_detach (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s) 2022-11-23T01:28:49.0813353Z test_remove_detach_not_applied (jit.test_freezing.TestFrozenOptimizations) ... ok (0.003s) 2022-11-23T01:28:49.0813694Z test_scalar_mul (jit.test_freezing.TestFrozenOptimizations) ... ok (0.050s) 2022-11-23T01:28:49.0814044Z test_subgraph_creation (jit.test_functional_blocks.TestFunctionalBlocks) ... ok (0.054s) 2022-11-23T01:28:49.0814445Z test_check_no_type_promotion (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.240s) 2022-11-23T01:28:49.0814898Z test_functional_to_inplace_activation (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.057s) 2022-11-23T01:28:49.0815339Z test_no_functional_to_inplace (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.009s) 2022-11-23T01:28:49.0815827Z test_resnet18_correctness (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (4.235s) 2022-11-23T01:28:49.0816207Z test_getattr_with_default (jit.test_attr.TestGetDefaultAttr) ... ok (0.006s) 2022-11-23T01:28:49.0816548Z test_fuse_linear (jit.test_graph_rewrite_passes.TestGraphRewritePasses) ... ok (0.029s) 2022-11-23T01:28:49.0816845Z test_hash_bool (jit.test_hash.TestHash) ... ok (0.007s) 2022-11-23T01:28:49.0817107Z test_hash_device (jit.test_hash.TestHash) ... ok (0.006s) 2022-11-23T01:28:49.0817369Z test_hash_float (jit.test_hash.TestHash) ... ok (0.008s) 2022-11-23T01:28:49.0817611Z test_hash_int (jit.test_hash.TestHash) ... ok (0.007s) 2022-11-23T01:28:49.0817865Z test_hash_none (jit.test_hash.TestHash) ... ok (0.003s) 2022-11-23T01:28:49.0818122Z test_hash_string (jit.test_hash.TestHash) ... ok (0.006s) 2022-11-23T01:28:49.0818355Z test_hash_tensor (jit.test_hash.TestHash) 2022-11-23T01:28:49.0818593Z Tensors should hash by identity ... ok (0.005s) 2022-11-23T01:28:49.0818845Z test_hash_tuple (jit.test_hash.TestHash) ... ok (0.006s) 2022-11-23T01:28:49.0819131Z test_hash_tuple_nested_unhashable_type (jit.test_hash.TestHash) ... ok (0.003s) 2022-11-23T01:28:49.0819422Z test_forward_tuple_input (jit.test_hooks.TestHooks) ... ok (0.017s) 2022-11-23T01:28:49.0819722Z test_hook_compilation_hint (jit.test_hooks.TestHooks) ... skip: (0.001s) 2022-11-23T01:28:49.0820022Z test_hook_hook_name_collision (jit.test_hooks.TestHooks) ... ok (0.008s) 2022-11-23T01:28:49.0820311Z test_hook_method_name_collision (jit.test_hooks.TestHooks) ... ok (0.007s) 2022-11-23T01:28:49.0820618Z test_module_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.012s) 2022-11-23T01:28:49.0820933Z test_module_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.022s) 2022-11-23T01:28:49.0821239Z test_module_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.019s) 2022-11-23T01:28:49.0821528Z test_module_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.019s) 2022-11-23T01:28:49.0821843Z test_module_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.031s) 2022-11-23T01:28:49.0822167Z test_module_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.028s) 2022-11-23T01:28:49.0822459Z test_module_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.016s) 2022-11-23T01:28:49.0822757Z test_module_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.021s) 2022-11-23T01:28:49.0823068Z test_submodule_called_directly_with_hooks (jit.test_hooks.TestHooks) ... ok (0.014s) 2022-11-23T01:28:49.0823394Z test_submodule_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.019s) 2022-11-23T01:28:49.0823706Z test_submodule_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.023s) 2022-11-23T01:28:49.0824025Z test_submodule_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.020s) 2022-11-23T01:28:49.0824358Z test_submodule_forward_single_input_return_not_tupled (jit.test_hooks.TestHooks) ... ok (0.021s) 2022-11-23T01:28:49.0824676Z test_submodule_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.020s) 2022-11-23T01:28:49.0825037Z test_submodule_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.034s) 2022-11-23T01:28:49.0825372Z test_submodule_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-11-23T01:28:49.0825685Z test_submodule_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.016s) 2022-11-23T01:28:49.0825976Z test_submodule_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.023s) 2022-11-23T01:28:49.0826275Z test_wrong_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.036s) 2022-11-23T01:28:49.0826569Z test_wrong_pre_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.043s) 2022-11-23T01:28:49.0826876Z test_add_out_ignorable_args (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.003s) 2022-11-23T01:28:49.0827228Z test_slice_ignorable_args_for_slice (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.004s) 2022-11-23T01:28:49.0827660Z test_with_ignore_context_manager_with_inp_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.013s) 2022-11-23T01:28:49.0828096Z test_with_ignore_context_manager_with_just_inp (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.004s) 2022-11-23T01:28:49.0828507Z test_with_ignore_context_manager_with_just_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.005s) 2022-11-23T01:28:49.0828953Z test_inplace_to_functional_activation (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (0.040s) 2022-11-23T01:28:49.0829410Z test_resnet18_correctness (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (4.302s) 2022-11-23T01:28:49.0829778Z test_bool (jit.test_isinstance.TestIsinstance) ... ok (0.020s) 2022-11-23T01:28:49.0830059Z test_dict (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:28:49.0830365Z test_dict_nested (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:28:49.0830686Z test_dict_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:28:49.0830997Z test_dict_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:28:49.0831325Z test_empty_container_special_cases (jit.test_isinstance.TestIsinstance) ... ok (0.001s) 2022-11-23T01:28:49.0831687Z test_empty_container_throws_warning_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s) 2022-11-23T01:28:49.0832014Z test_float (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0832296Z test_if_else (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0832593Z test_in_if (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:28:49.0832892Z test_in_while_loop (jit.test_isinstance.TestIsinstance) ... ok (0.007s) 2022-11-23T01:28:49.0833178Z test_int (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:28:49.0833467Z test_list (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:28:49.0833769Z test_list_nested (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:28:49.0834077Z test_list_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:28:49.0834393Z test_list_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:28:49.0834706Z test_list_tensor_type_true (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0835053Z test_nontuple_container_rhs_throws_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s) 2022-11-23T01:28:49.0835375Z test_optional (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:28:49.0835684Z test_optional_nested (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0836018Z test_optional_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:28:49.0836329Z test_optional_none (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0836647Z test_tensor_type_false (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0836950Z test_tuple (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:28:49.0837288Z test_tuple_nested (jit.test_isinstance.TestIsinstance) ... ok (0.007s) 2022-11-23T01:28:49.0837597Z test_tuple_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:28:49.0837911Z test_tuple_rhs (jit.test_isinstance.TestIsinstance) ... ok (0.007s) 2022-11-23T01:28:49.0838216Z test_tuple_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:28:49.0838513Z test_type_refinement (jit.test_isinstance.TestIsinstance) ... ok (0.015s) 2022-11-23T01:28:49.0838788Z test_ModuleList (__main__.TestJit) ... ok (0.052s) 2022-11-23T01:28:49.0839030Z test_Sequential (__main__.TestJit) ... ok (0.022s) 2022-11-23T01:28:49.0839267Z test_T_mT_H_mH (__main__.TestJit) ... ok (0.019s) 2022-11-23T01:28:49.0839496Z test_add_relu_fusion (__main__.TestJit) ... ok (0.025s) 2022-11-23T01:28:49.0839773Z test_arg_configurations (__main__.TestJit) 2022-11-23T01:28:49.0840189Z Different arg configurations should trigger different traces ... skip: Need to be adjusted to Graph Executor (0.001s) 2022-11-23T01:28:49.0840490Z test_attrs (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0840724Z test_batchnorm (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0840986Z test_big (__main__.TestJit) ... skip: Requires a lot of RAM (0.001s) 2022-11-23T01:28:49.0841234Z test_conj_transpose (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0841493Z test_constant_insertion (__main__.TestJit) ... ok (4.514s) 2022-11-23T01:28:49.0841763Z test_constant_prop_aliasing_type (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:28:49.0842042Z test_constant_prop_exception (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0842304Z test_constant_prop_if_constant (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0842575Z test_constant_prop_if_inline (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0842851Z test_constant_prop_loop_constant (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0843110Z test_constant_prop_nested (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0843373Z test_constant_prop_none (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0843633Z test_constant_prop_print (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0843877Z test_constant_prop_rand (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0844145Z test_constant_prop_remove_output (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0844416Z test_constant_prop_simple (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0844674Z test_constants_pkl (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:28:49.0844998Z test_cpp (__main__.TestJit) ... ok (0.023s) 2022-11-23T01:28:49.0845220Z test_cse (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:28:49.0845472Z test_cse_not_introduce_aliasing (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0845729Z test_cu_escaped_number (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0846010Z test_cuda_export_restore (__main__.TestJit) ... skip: requires CUDA (0.001s) 2022-11-23T01:28:49.0846308Z test_debug_flush_compilation_cache (__main__.TestJit) ... ok (0.013s) 2022-11-23T01:28:49.0846565Z test_decompose_addmm (__main__.TestJit) ... ok (0.036s) 2022-11-23T01:28:49.0846842Z test_device_not_equal (__main__.TestJit) ... skip: requires CUDA (0.001s) 2022-11-23T01:28:49.0847135Z test_diff_subgraph_clones_constants (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0847399Z test_disabled (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0847618Z test_dropout (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:28:49.0847900Z test_dropout_cuda (__main__.TestJit) ... skip: test_dropout_cuda require CUDA (0.001s) 2022-11-23T01:28:49.0848443Z test_dropout_func_requires_grad (__main__.TestJit) ... STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:28:49.0848921Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:28:49.0849437Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:28:49.0849880Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:28:49.0850312Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:28:49.0850744Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:28:49.0851187Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:28:49.0851618Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:28:49.0852063Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:28:49.0852530Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:28:49.0852966Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:28:49.0853411Z STAGE:2022-11-23 01:27:17 11102:11102 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:28:49.0853657Z ok (0.100s) 2022-11-23T01:28:49.0853934Z test_dropout_module_requires_grad (__main__.TestJit) ... skip: Testing differentiable graph (0.001s) 2022-11-23T01:28:49.0854224Z test_einsum (__main__.TestJit) ... ok (0.025s) 2022-11-23T01:28:49.0854463Z test_element_size (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0854708Z test_expand_fold_quant_inputs (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0854972Z test_expand_quantlint (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0855295Z test_export_batchnorm (__main__.TestJit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.0855599Z test_export_dropout (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:28:49.0855846Z test_export_lstm (__main__.TestJit) ... ok (0.038s) 2022-11-23T01:28:49.0856093Z test_export_opnames (__main__.TestJit) ... ok (0.012s) 2022-11-23T01:28:49.0856324Z test_export_rnn (__main__.TestJit) ... ok (0.070s) 2022-11-23T01:28:49.0856616Z test_flags (__main__.TestJit) ... skip: Need to instrument GraphExecutors a bit more (0.001s) 2022-11-23T01:28:49.0856920Z test_function_default_values (__main__.TestJit) ... ok (0.039s) 2022-11-23T01:28:49.0857201Z test_hide_source_ranges_context_manager (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0857456Z test_import_method (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0857710Z test_inferred_as_tensor (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:28:49.0857953Z test_layout (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0858191Z test_matrix_conj_transpose (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0858449Z test_matrix_transpose (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0858711Z test_module_default_values (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0858966Z test_mutable_default_values (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0859262Z test_native_dropout_corner_case (__main__.TestJit) ... skip: test requires CUDA (0.001s) 2022-11-23T01:28:49.0859538Z test_nn_conv (__main__.TestJit) ... ok (0.232s) 2022-11-23T01:28:49.0859776Z test_nn_lp_pool1d (__main__.TestJit) ... ok (0.102s) 2022-11-23T01:28:49.0860006Z test_nn_lp_pool2d (__main__.TestJit) ... ok (0.141s) 2022-11-23T01:28:49.0860246Z test_nn_padding (__main__.TestJit) ... ok (0.247s) 2022-11-23T01:28:49.0860499Z test_nn_padding_functional (__main__.TestJit) ... ok (0.022s) 2022-11-23T01:28:49.0860748Z test_no_erroneous_warnings (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0861067Z test_non_ascii_string (__main__.TestJit) ... skip: temporarily disable the test for fwd compatibility (0.001s) 2022-11-23T01:28:49.0861371Z test_numel (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0861667Z test_pattern_based_module_rewrite (__main__.TestJit) ... ok (0.027s) 2022-11-23T01:28:49.0861930Z test_pattern_based_rewrite (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:28:49.0862230Z test_pattern_based_rewrite_with_source_range_preserved (__main__.TestJit) ... ok (0.018s) 2022-11-23T01:28:49.0862682Z test_peephole_optimize_shape_ops (__main__.TestJit) ... skip: Simple executor doesn't have shape information (0.002s) 2022-11-23T01:28:49.0862998Z test_permute_inputs_binding (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0863255Z test_pretty_printer (__main__.TestJit) ... ok (0.027s) 2022-11-23T01:28:49.0863509Z test_print_classes_module (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0863749Z test_print_op_module (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0864065Z test_print_torch_ops_modules (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0864861Z test_profiler (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/65521 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:28:49.0865394Z test_python_bindings (__main__.TestJit) ... ok (0.239s) 2022-11-23T01:28:49.0865625Z test_python_ir (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0865872Z test_python_ir_utils (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0866660Z test_python_ir_utils_graph (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73473 for platform(s) macos, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:28:49.0867196Z test_python_ivalue (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:28:49.0867441Z test_pytorch_jit_env_off (__main__.TestJit) ... ok (1.475s) 2022-11-23T01:28:49.0867693Z test_recursive_cse (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0867954Z test_repeat_interleave_script (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0868221Z test_restore_device (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:28:49.0868503Z test_restore_device_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.001s) 2022-11-23T01:28:49.0868852Z test_restore_shared_storage_on_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.001s) 2022-11-23T01:28:49.0869160Z test_script_autograd_grad (__main__.TestJit) ... ok (0.365s) 2022-11-23T01:28:49.0869401Z test_script_backward (__main__.TestJit) ... ok (0.012s) 2022-11-23T01:28:49.0869980Z test_script_backward_twice (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_script.py:1243: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead 2022-11-23T01:28:49.0870363Z warnings.warn( 2022-11-23T01:28:49.0870538Z ok (0.015s) 2022-11-23T01:28:49.0870733Z test_script_fn_pkl (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0870989Z test_script_tensor_type (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0871255Z test_shape_analysis_broadcast (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0871520Z test_shape_analysis_masked_select (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0871808Z test_shape_analysis_unsqueeze_in_loop (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0872081Z test_sparse_csr_tensors (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0872336Z test_sparse_tensors (__main__.TestJit) ... ok (0.042s) 2022-11-23T01:28:49.0873464Z test_torch_complex (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [3, 4], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:28:49.0874181Z return callable(*args, **kwargs) 2022-11-23T01:28:49.0875195Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [5, 2], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:28:49.0875897Z return callable(*args, **kwargs) 2022-11-23T01:28:49.0876086Z ok (0.027s) 2022-11-23T01:28:49.0876464Z test_torch_load_error (__main__.TestJit) ... skip: TODO: re-enable with https://github.com/pytorch/pytorch/pull/29339 (0.001s) 2022-11-23T01:28:49.0876802Z test_torch_load_zipfile_check (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0877062Z test_torch_ops_kwonly (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:28:49.0877315Z test_torch_ops_overloaded (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:28:49.0877548Z test_torch_sum (__main__.TestJit) ... ok (0.010s) 2022-11-23T01:28:49.0877792Z test_trace_retains_train (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:28:49.0878032Z test_train_eval (__main__.TestJit) ... ok (0.043s) 2022-11-23T01:28:49.0878252Z test_transpose (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:28:49.0878497Z test_unchecked_cast (__main__.TestJit) ... ok (0.011s) 2022-11-23T01:28:49.0878747Z test_unique_state_dict (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:28:49.0879046Z test_verify (__main__.TestJit) ... skip: verify needs to be updated to work with GraphExecutors (0.001s) 2022-11-23T01:28:49.0879337Z test_warnings (__main__.TestJit) ... ok (0.009s) 2022-11-23T01:28:49.0879619Z test_nn_AdaptiveAvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0879955Z test_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.0880373Z test_nn_AdaptiveAvgPool1d_one_output (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.0880719Z test_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0881061Z test_nn_AdaptiveAvgPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0881395Z test_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.0881739Z test_nn_AdaptiveAvgPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0882080Z test_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.0882421Z test_nn_AdaptiveAvgPool3d_last_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.0882749Z test_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0883090Z test_nn_AdaptiveAvgPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0883423Z test_nn_AdaptiveAvgPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0883745Z test_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.0884075Z test_nn_AdaptiveMaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0884411Z test_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0884869Z test_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:28:49.0885257Z test_nn_AdaptiveMaxPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0885592Z test_nn_AdaptiveMaxPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0885931Z test_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.0886261Z test_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:28:49.0886603Z test_nn_AdaptiveMaxPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0886949Z test_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0887292Z test_nn_AdaptiveMaxPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0887627Z test_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0888025Z test_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.0888341Z test_nn_AvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.0888634Z test_nn_AvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.0888945Z test_nn_AvgPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0889259Z test_nn_AvgPool1d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0889563Z test_nn_AvgPool2d (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0889853Z test_nn_AvgPool2d_divisor (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0890168Z test_nn_AvgPool2d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0890495Z test_nn_AvgPool2d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0890810Z test_nn_AvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0891127Z test_nn_AvgPool2d_stride (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0891441Z test_nn_AvgPool2d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0891744Z test_nn_AvgPool3d (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0892032Z test_nn_AvgPool3d_divisor (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0892350Z test_nn_AvgPool3d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0892691Z test_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0893024Z test_nn_AvgPool3d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0893377Z test_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0893750Z test_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0894126Z test_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0894459Z test_nn_AvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0894772Z test_nn_AvgPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0895098Z test_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0895425Z test_nn_AvgPool3d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0895751Z test_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0896105Z test_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0896465Z test_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0896816Z test_nn_BCELoss (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0897125Z test_nn_BCELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0897450Z test_nn_BCELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0897767Z test_nn_BCELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0898066Z test_nn_BCELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0898381Z test_nn_BCELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0898704Z test_nn_BCELoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0899000Z test_nn_BCELoss_weights (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0899342Z test_nn_BCELoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0899676Z test_nn_BCELoss_weights_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0900004Z test_nn_BCEWithLogitsLoss (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:28:49.0900320Z test_nn_BCEWithLogitsLoss_legacy_enum (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0900665Z test_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0901013Z test_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.0901348Z test_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0901688Z test_nn_BCEWithLogitsLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.0902028Z test_nn_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0902377Z test_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0902706Z test_nn_BCEWithLogitsLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.0903034Z test_nn_BatchNorm1d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.094s) 2022-11-23T01:28:49.0903359Z test_nn_BatchNorm1d_3d_input_not_affine (__main__.TestJitGeneratedModule) ... ok (0.093s) 2022-11-23T01:28:49.0903685Z test_nn_BatchNorm1d_affine (__main__.TestJitGeneratedModule) ... ok (0.097s) 2022-11-23T01:28:49.0904003Z test_nn_BatchNorm1d_affine_simple_average (__main__.TestJitGeneratedModule) ... ok (0.100s) 2022-11-23T01:28:49.0904331Z test_nn_BatchNorm1d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.093s) 2022-11-23T01:28:49.0904658Z test_nn_BatchNorm1d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.090s) 2022-11-23T01:28:49.0904971Z test_nn_BatchNorm1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-11-23T01:28:49.0905282Z test_nn_BatchNorm2d (__main__.TestJitGeneratedModule) ... ok (0.093s) 2022-11-23T01:28:49.0905600Z test_nn_BatchNorm2d_2d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.096s) 2022-11-23T01:28:49.0905922Z test_nn_BatchNorm2d_momentum (__main__.TestJitGeneratedModule) ... ok (0.093s) 2022-11-23T01:28:49.0906226Z test_nn_BatchNorm2d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.092s) 2022-11-23T01:28:49.0906555Z test_nn_BatchNorm2d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.089s) 2022-11-23T01:28:49.0906882Z test_nn_BatchNorm2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.083s) 2022-11-23T01:28:49.0907173Z test_nn_BatchNorm3d (__main__.TestJitGeneratedModule) ... ok (0.092s) 2022-11-23T01:28:49.0907495Z test_nn_BatchNorm3d_3d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.097s) 2022-11-23T01:28:49.0907822Z test_nn_BatchNorm3d_momentum (__main__.TestJitGeneratedModule) ... ok (0.094s) 2022-11-23T01:28:49.0908140Z test_nn_BatchNorm3d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.092s) 2022-11-23T01:28:49.0908519Z test_nn_BatchNorm3d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.090s) 2022-11-23T01:28:49.0908850Z test_nn_BatchNorm3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-11-23T01:28:49.0909155Z test_nn_Bilinear (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0909429Z test_nn_CELU (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.0909721Z test_nn_CELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0910021Z test_nn_CELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.0910382Z test_nn_CTCLoss_2d_int_target_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s) 2022-11-23T01:28:49.0910749Z test_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0911141Z test_nn_CTCLoss_2d_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.024s) 2022-11-23T01:28:49.0911504Z test_nn_CTCLoss_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s) 2022-11-23T01:28:49.0911840Z test_nn_CTCLoss_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-11-23T01:28:49.0912151Z test_nn_ConstantPad1d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.0912464Z test_nn_ConstantPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.0912783Z test_nn_ConstantPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0913083Z test_nn_ConstantPad2d (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0913395Z test_nn_ConstantPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0913722Z test_nn_ConstantPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.0914029Z test_nn_ConstantPad3d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0914343Z test_nn_ConstantPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0914669Z test_nn_ConstantPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0914976Z test_nn_Conv1d (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0915269Z test_nn_Conv1d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.0915584Z test_nn_Conv1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0915884Z test_nn_Conv1d_groups (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0916166Z test_nn_Conv1d_pad1 (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0916466Z test_nn_Conv1d_pad1size1 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0916768Z test_nn_Conv1d_pad2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0917072Z test_nn_Conv1d_pad2size1 (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0917363Z test_nn_Conv1d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0917670Z test_nn_Conv1d_pad_same2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0917982Z test_nn_Conv1d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0918282Z test_nn_Conv1d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0918599Z test_nn_Conv1d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0918928Z test_nn_Conv1d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0919240Z test_nn_Conv1d_stride (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0919524Z test_nn_Conv1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0919843Z test_nn_Conv1d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0920263Z test_nn_Conv2d (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0920562Z test_nn_Conv2d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.060s) 2022-11-23T01:28:49.0920882Z test_nn_Conv2d_depthwise (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.0921198Z test_nn_Conv2d_depthwise_dilated (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0921526Z test_nn_Conv2d_depthwise_padded (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0921833Z test_nn_Conv2d_depthwise_strided (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0922167Z test_nn_Conv2d_depthwise_with_multiplier (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0922484Z test_nn_Conv2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0922806Z test_nn_Conv2d_groups (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0923110Z test_nn_Conv2d_groups_thnn (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0923409Z test_nn_Conv2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0923709Z test_nn_Conv2d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0924004Z test_nn_Conv2d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0924320Z test_nn_Conv2d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0924623Z test_nn_Conv2d_padding (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0925029Z test_nn_Conv2d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.0925362Z test_nn_Conv2d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.0925682Z test_nn_Conv2d_strided (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0925985Z test_nn_Conv2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:28:49.0926288Z test_nn_Conv2d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0926592Z test_nn_Conv3d (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0926890Z test_nn_Conv3d_1x1x1_no_bias (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0927197Z test_nn_Conv3d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:28:49.0927510Z test_nn_Conv3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0927821Z test_nn_Conv3d_dilated_strided (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0928126Z test_nn_Conv3d_groups (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0928409Z test_nn_Conv3d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0928714Z test_nn_Conv3d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:28:49.0929028Z test_nn_Conv3d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:28:49.0929329Z test_nn_Conv3d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.0929649Z test_nn_Conv3d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:28:49.0929963Z test_nn_Conv3d_stride (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.0930266Z test_nn_Conv3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:28:49.0930562Z test_nn_Conv3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.060s) 2022-11-23T01:28:49.0930874Z test_nn_Conv3d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0931186Z test_nn_ConvTranspose1d (__main__.TestJitGeneratedModule) ... ok (0.100s) 2022-11-23T01:28:49.0931498Z test_nn_ConvTranspose1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.100s) 2022-11-23T01:28:49.0931881Z test_nn_ConvTranspose1d_groups (__main__.TestJitGeneratedModule) ... ok (0.101s) 2022-11-23T01:28:49.0932208Z test_nn_ConvTranspose1d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.101s) 2022-11-23T01:28:49.0932524Z test_nn_ConvTranspose2d (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:28:49.0932828Z test_nn_ConvTranspose2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:28:49.0933156Z test_nn_ConvTranspose2d_groups (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:28:49.0933483Z test_nn_ConvTranspose2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.101s) 2022-11-23T01:28:49.0933786Z test_nn_ConvTranspose3d (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:28:49.0934099Z test_nn_ConvTranspose3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:28:49.0934423Z test_nn_CosineEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0934791Z test_nn_CosineEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0935130Z test_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0935486Z test_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0935844Z test_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0936166Z test_nn_CrossEntropyLoss (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0936486Z test_nn_CrossEntropyLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0936817Z test_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0937180Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0937555Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0937956Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0938354Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0938717Z test_nn_CrossEntropyLoss_2d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0939059Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0939439Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0939822Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0940180Z test_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0940527Z test_nn_CrossEntropyLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0940884Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0941264Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0941653Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0942066Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0942443Z test_nn_CrossEntropyLoss_3d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0942797Z test_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0943165Z test_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0943577Z test_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0943927Z test_nn_CrossEntropyLoss_4d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0944263Z test_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0944604Z test_nn_CrossEntropyLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0944938Z test_nn_CrossEntropyLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.0945271Z test_nn_CrossEntropyLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0945579Z test_nn_CrossMapLRN2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0945921Z test_nn_ELU (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.0946211Z test_nn_ELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.0946498Z test_nn_ELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:28:49.0946794Z test_nn_Embedding (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0947109Z test_nn_EmbeddingBag_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.065s) 2022-11-23T01:28:49.0947429Z test_nn_EmbeddingBag_max (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0947739Z test_nn_EmbeddingBag_max_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0948061Z test_nn_EmbeddingBag_mean (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.0948391Z test_nn_EmbeddingBag_mean_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.0948706Z test_nn_EmbeddingBag_sparse (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.0949024Z test_nn_EmbeddingBag_sum (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.0949350Z test_nn_EmbeddingBag_sum_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0949683Z test_nn_Embedding_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-11-23T01:28:49.0949986Z test_nn_Embedding_sparse (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-11-23T01:28:49.0950282Z test_nn_Flatten (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.0950581Z test_nn_Flatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0950860Z test_nn_Fold (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.0951149Z test_nn_Fold_int_input (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0951459Z test_nn_Fold_no_batch_dim_input (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0951777Z test_nn_Fold_no_batch_dim_int_input (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0952100Z test_nn_FractionalMaxPool2d_ratio (__main__.TestJitGeneratedModule) ... ok (0.090s) 2022-11-23T01:28:49.0952457Z test_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-11-23T01:28:49.0952844Z test_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-11-23T01:28:49.0953220Z test_nn_FractionalMaxPool2d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.068s) 2022-11-23T01:28:49.0953571Z test_nn_FractionalMaxPool2d_size (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-11-23T01:28:49.0953920Z test_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-11-23T01:28:49.0954301Z test_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.074s) 2022-11-23T01:28:49.0954656Z test_nn_FractionalMaxPool3d_asymsize (__main__.TestJitGeneratedModule) ... ok (0.091s) 2022-11-23T01:28:49.0954997Z test_nn_FractionalMaxPool3d_ratio (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-11-23T01:28:49.0955384Z test_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.077s) 2022-11-23T01:28:49.0955770Z test_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-11-23T01:28:49.0956142Z test_nn_FractionalMaxPool3d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-11-23T01:28:49.0956493Z test_nn_FractionalMaxPool3d_size (__main__.TestJitGeneratedModule) ... ok (0.075s) 2022-11-23T01:28:49.0956838Z test_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-11-23T01:28:49.0957201Z test_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.078s) 2022-11-23T01:28:49.0957536Z test_nn_GELU (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.0957863Z test_nn_GELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.0958166Z test_nn_GELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.0958441Z test_nn_GLU (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0958722Z test_nn_GLU_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.0959015Z test_nn_GLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.0959299Z test_nn_GRUCell (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:28:49.0959597Z test_nn_GroupNorm_1d_affine (__main__.TestJitGeneratedModule) ... ok (0.077s) 2022-11-23T01:28:49.0959915Z test_nn_GroupNorm_1d_affine_GN (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-11-23T01:28:49.0960340Z test_nn_GroupNorm_1d_affine_large_batch (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-11-23T01:28:49.0960665Z test_nn_GroupNorm_1d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:28:49.0960987Z test_nn_GroupNorm_1d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:28:49.0961307Z test_nn_GroupNorm_2d_affine (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-11-23T01:28:49.0961623Z test_nn_GroupNorm_2d_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.075s) 2022-11-23T01:28:49.0961954Z test_nn_GroupNorm_2d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:28:49.0962276Z test_nn_GroupNorm_2d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.066s) 2022-11-23T01:28:49.0962609Z test_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-11-23T01:28:49.0962916Z test_nn_Hardshrink (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.0963224Z test_nn_Hardshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0963542Z test_nn_Hardshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0963883Z test_nn_Hardsigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s) 2022-11-23T01:28:49.0964265Z test_nn_Hardswish_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s) 2022-11-23T01:28:49.0964596Z test_nn_Hardtanh (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.0965005Z test_nn_Hardtanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0965305Z test_nn_Hardtanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.0965620Z test_nn_HingeEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.0965951Z test_nn_HingeEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.0966305Z test_nn_HingeEmbeddingLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0966655Z test_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.0967073Z test_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.0967433Z test_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.0967766Z test_nn_HingeEmbeddingLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0968111Z test_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.0968430Z test_nn_HuberLoss (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0968729Z test_nn_HuberLoss_delta (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0969032Z test_nn_HuberLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-11-23T01:28:49.0969360Z test_nn_HuberLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-11-23T01:28:49.0969728Z test_nn_HuberLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.023s) 2022-11-23T01:28:49.0970034Z test_nn_InstanceNorm1d (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:28:49.0970352Z test_nn_InstanceNorm1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.100s) 2022-11-23T01:28:49.0970686Z test_nn_InstanceNorm1d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.108s) 2022-11-23T01:28:49.0971035Z test_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.108s) 2022-11-23T01:28:49.0971356Z test_nn_InstanceNorm2d (__main__.TestJitGeneratedModule) ... ok (0.105s) 2022-11-23T01:28:49.0971674Z test_nn_InstanceNorm2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.101s) 2022-11-23T01:28:49.0972007Z test_nn_InstanceNorm2d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.109s) 2022-11-23T01:28:49.0972344Z test_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.107s) 2022-11-23T01:28:49.0972677Z test_nn_InstanceNorm3d (__main__.TestJitGeneratedModule) ... ok (0.101s) 2022-11-23T01:28:49.0972998Z test_nn_InstanceNorm3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.103s) 2022-11-23T01:28:49.0973331Z test_nn_InstanceNorm3d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.108s) 2022-11-23T01:28:49.0973669Z test_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.108s) 2022-11-23T01:28:49.0973997Z test_nn_KLDivLoss (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:28:49.0974303Z test_nn_KLDivLoss_log_target (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0974613Z test_nn_KLDivLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0974938Z test_nn_KLDivLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0975264Z test_nn_KLDivLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0975584Z test_nn_KLDivLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0975898Z test_nn_KLDivLoss_no_reduce_log_target (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0976230Z test_nn_KLDivLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0976570Z test_nn_KLDivLoss_no_reduce_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0976904Z test_nn_KLDivLoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0977208Z test_nn_KLDivLoss_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.0977545Z test_nn_KLDivLoss_with_log_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.0977882Z test_nn_KLDivLoss_with_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0978179Z test_nn_L1Loss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.0978516Z test_nn_L1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0978836Z test_nn_L1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0979152Z test_nn_L1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0979451Z test_nn_L1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0979769Z test_nn_L1Loss_no_reduce_complex (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0980090Z test_nn_L1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0980384Z test_nn_L1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.0980679Z test_nn_LPPool1d (__main__.TestJitGeneratedModule) ... ok (0.115s) 2022-11-23T01:28:49.0980986Z test_nn_LPPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.117s) 2022-11-23T01:28:49.0981326Z test_nn_LPPool1d_norm (__main__.TestJitGeneratedModule) ... ok (0.123s) 2022-11-23T01:28:49.0981610Z test_nn_LPPool2d (__main__.TestJitGeneratedModule) ... ok (0.140s) 2022-11-23T01:28:49.0981908Z test_nn_LPPool2d_norm (__main__.TestJitGeneratedModule) ... ok (0.153s) 2022-11-23T01:28:49.0982203Z test_nn_LSTMCell (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-11-23T01:28:49.0982509Z test_nn_LayerNorm_1d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.0982856Z test_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0983201Z test_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0983539Z test_nn_LayerNorm_3d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0983867Z test_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.169s) 2022-11-23T01:28:49.0984213Z test_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:28:49.0984530Z test_nn_LeakyReLU (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0984826Z test_nn_LeakyReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:28:49.0985143Z test_nn_LeakyReLU_with_negval (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:28:49.0985467Z test_nn_LeakyReLU_with_negval_scalar (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.0985798Z test_nn_LeakyReLU_with_zero_negval (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:28:49.0986087Z test_nn_Linear (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0986386Z test_nn_Linear_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0986688Z test_nn_Linear_no_bias (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0986992Z test_nn_LocalResponseNorm_1d (__main__.TestJitGeneratedModule) ... ok (0.168s) 2022-11-23T01:28:49.0987330Z test_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestJitGeneratedModule) ... ok (0.184s) 2022-11-23T01:28:49.0987680Z test_nn_LocalResponseNorm_3d_custom_params (__main__.TestJitGeneratedModule) ... ok (0.190s) 2022-11-23T01:28:49.0988003Z test_nn_LogSigmoid (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.0988305Z test_nn_LogSigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0988622Z test_nn_LogSigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.0988924Z test_nn_LogSoftmax (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:28:49.0989217Z test_nn_LogSoftmax_multiparam (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:28:49.0989542Z test_nn_LogSoftmax_multiparam_scalar (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0989871Z test_nn_LogSoftmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0990212Z test_nn_MSELoss (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.0990505Z test_nn_MSELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0990826Z test_nn_MSELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0991143Z test_nn_MSELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0991444Z test_nn_MSELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0991755Z test_nn_MSELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0992063Z test_nn_MSELoss_prec (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:28:49.0992364Z test_nn_MSELoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.0992660Z test_nn_MarginRankingLoss (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.0993024Z test_nn_MarginRankingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0993369Z test_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0993705Z test_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0994052Z test_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.0994374Z test_nn_MaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:28:49.0994686Z test_nn_MaxPool1d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:28:49.0994991Z test_nn_MaxPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:28:49.0995299Z test_nn_MaxPool2d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.0995613Z test_nn_MaxPool2d_4d_input (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0995921Z test_nn_MaxPool2d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:28:49.0996228Z test_nn_MaxPool3d (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0996535Z test_nn_MaxPool3d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:28:49.0996848Z test_nn_MaxPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0997150Z test_nn_MaxPool3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.0997454Z test_nn_Mish (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:28:49.0997744Z test_nn_Mish_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0998029Z test_nn_Mish_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.0998341Z test_nn_MultiLabelMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.0998683Z test_nn_MultiLabelMarginLoss_0d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0999033Z test_nn_MultiLabelMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.0999360Z test_nn_MultiLabelMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.0999710Z test_nn_MultiLabelMarginLoss_index_neg (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1000152Z test_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-11-23T01:28:49.1000509Z test_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1000873Z test_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1001228Z test_nn_MultiLabelMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.1001575Z test_nn_MultiLabelSoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-11-23T01:28:49.1001930Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:28:49.1002356Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:28:49.1002733Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:28:49.1003104Z test_nn_MultiLabelSoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1003451Z test_nn_MultiLabelSoftMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.074s) 2022-11-23T01:28:49.1003824Z test_nn_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1004169Z test_nn_MultiMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1004473Z test_nn_MultiMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1004934Z test_nn_MultiMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1005273Z test_nn_MultiMarginLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.1005612Z test_nn_MultiMarginLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1005937Z test_nn_MultiMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1006260Z test_nn_MultiMarginLoss_p (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1006586Z test_nn_MultiMarginLoss_p_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1006907Z test_nn_MultiMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1007247Z test_nn_MultiMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1007655Z test_nn_MultiheadAttention (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:28:49.1008026Z test_nn_NLLLoss (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1008319Z test_nn_NLLLoss2d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1008649Z test_nn_NLLLoss2d_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1008984Z test_nn_NLLLoss2d_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1009293Z test_nn_NLLLossNd_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1009617Z test_nn_NLLLossNd_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1009952Z test_nn_NLLLossNd_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1010267Z test_nn_NLLLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.1010565Z test_nn_NLLLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1010877Z test_nn_NLLLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1011184Z test_nn_NLLLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1011478Z test_nn_NLLLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1011790Z test_nn_NLLLoss_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1012104Z test_nn_NLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1012426Z test_nn_NLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1012732Z test_nn_NLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1013047Z test_nn_NLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1013364Z test_nn_NLLLoss_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1013681Z test_nn_NLLLoss_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1014075Z test_nn_NLLLoss_no_reduce_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1014441Z test_nn_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1014774Z test_nn_NLLLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.1015086Z test_nn_NLLLoss_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.1015421Z test_nn_NLLLoss_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.1015734Z test_nn_PReLU_1d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1016036Z test_nn_PReLU_1d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1016365Z test_nn_PReLU_2d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1016666Z test_nn_PReLU_2d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1016967Z test_nn_PReLU_3d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1017254Z test_nn_PReLU_3d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1017562Z test_nn_PReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1017865Z test_nn_PReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1018166Z test_nn_Padding122112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1018490Z test_nn_Padding1221_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1018814Z test_nn_Padding12_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1019133Z test_nn_Padding2322_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1019440Z test_nn_Padding31_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1019764Z test_nn_Padding322112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1020086Z test_nn_Padding332122_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1020393Z test_nn_Padding3331_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1020708Z test_nn_Padding33_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1021021Z test_nn_PairwiseDistance (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.1021352Z test_nn_PairwiseDistance_broadcast_lhs (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1021685Z test_nn_PairwiseDistance_broadcast_rhs (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1022025Z test_nn_PairwiseDistance_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1022378Z test_nn_PairwiseDistance_with_non_default_args (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1022707Z test_nn_PixelShuffle (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1022996Z test_nn_PixelUnshuffle (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1023316Z test_nn_PoissonNLLLoss_full_loss (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:28:49.1023654Z test_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.1023992Z test_nn_PoissonNLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1024333Z test_nn_PoissonNLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1024672Z test_nn_PoissonNLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.1025003Z test_nn_PoissonNLLLoss_no_full_loss (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.1025339Z test_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.1025724Z test_nn_PoissonNLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1026032Z test_nn_RNNCell (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:28:49.1026303Z test_nn_RReLU (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.1026598Z test_nn_RReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.1026905Z test_nn_RReLU_with_up_down (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.1027219Z test_nn_RReLU_with_up_down_scalar (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.1027507Z test_nn_ReLU (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.1027787Z test_nn_ReLU6 (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:28:49.1028181Z test_nn_ReLU6_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:28:49.1028559Z test_nn_ReLU6_scalar (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:28:49.1028866Z test_nn_ReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1029169Z test_nn_ReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1029463Z test_nn_ReflectionPad1d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1029781Z test_nn_ReflectionPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1030112Z test_nn_ReflectionPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1030432Z test_nn_ReflectionPad2d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1030739Z test_nn_ReflectionPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1031076Z test_nn_ReflectionPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1031407Z test_nn_ReflectionPad3d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.1031757Z test_nn_ReflectionPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1032089Z test_nn_ReflectionPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1032415Z test_nn_ReplicationPad1d (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1032734Z test_nn_ReplicationPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1033055Z test_nn_ReplicationPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1033381Z test_nn_ReplicationPad2d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1033705Z test_nn_ReplicationPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1034030Z test_nn_ReplicationPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1034361Z test_nn_ReplicationPad3d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1034687Z test_nn_ReplicationPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1035023Z test_nn_ReplicationPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1035320Z test_nn_SELU (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1035609Z test_nn_SELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1035908Z test_nn_SELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:28:49.1036036Z test_nn_SiLU (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1036176Z test_nn_SiLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1036299Z test_nn_SiLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.1036428Z test_nn_Sigmoid (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1036578Z test_nn_Sigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1036765Z test_nn_Sigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1036904Z test_nn_SmoothL1Loss (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1037045Z test_nn_SmoothL1Loss_beta (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1037201Z test_nn_SmoothL1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.1037357Z test_nn_SmoothL1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.1037500Z test_nn_SmoothL1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:28:49.1037650Z test_nn_SmoothL1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1037805Z test_nn_SmoothL1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1037984Z test_nn_SmoothL1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:28:49.1038135Z test_nn_SmoothL1Loss_zero_beta (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1038278Z test_nn_SoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1038440Z test_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:28:49.1038600Z test_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-11-23T01:28:49.1038748Z test_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-11-23T01:28:49.1038901Z test_nn_SoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1039031Z test_nn_Softmax (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.1039166Z test_nn_Softmax2d (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.1039314Z test_nn_Softmax2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:28:49.1039463Z test_nn_Softmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:28:49.1039601Z test_nn_Softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.1039732Z test_nn_Softmin (__main__.TestJitGeneratedModule) ... ok (0.060s) 2022-11-23T01:28:49.1039860Z test_nn_Softmin_multidim (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:28:49.1040131Z test_nn_Softmin_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:28:49.1040271Z test_nn_Softmin_scalar (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:28:49.1040406Z test_nn_Softplus (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:28:49.1040544Z test_nn_Softplus_beta (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1040695Z test_nn_Softplus_beta_threshold (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:28:49.1040856Z test_nn_Softplus_beta_threshold_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1041006Z test_nn_Softplus_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1041129Z test_nn_Softshrink (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1041272Z test_nn_Softshrink_lambda (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1041422Z test_nn_Softshrink_lambda_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1041571Z test_nn_Softshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:28:49.1041705Z test_nn_Softsign (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-11-23T01:28:49.1041850Z test_nn_Softsign_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-11-23T01:28:49.1041992Z test_nn_Softsign_scalar (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-11-23T01:28:49.1042123Z test_nn_Tanh (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:28:49.1042252Z test_nn_Tanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1042425Z test_nn_Tanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1042564Z test_nn_Tanhshrink (__main__.TestJitGeneratedModule) ... ok (0.125s) 2022-11-23T01:28:49.1042712Z test_nn_Tanhshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-11-23T01:28:49.1042852Z test_nn_Tanhshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:28:49.1042999Z test_nn_Threshold_large_value (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:28:49.1043144Z test_nn_Threshold_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1043296Z test_nn_Threshold_threshold_value (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1043445Z test_nn_Threshold_threshold_value_scalar (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1043689Z test_nn_Transformer (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:28:49.1043870Z test_nn_TransformerDecoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.984s) 2022-11-23T01:28:49.1044049Z test_nn_TransformerDecoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.901s) 2022-11-23T01:28:49.1044230Z test_nn_TransformerEncoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.738s) 2022-11-23T01:28:49.1044407Z test_nn_TransformerEncoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.742s) 2022-11-23T01:28:49.1044564Z test_nn_Transformer_multilayer_coder (__main__.TestJitGeneratedModule) ... ok (5.815s) 2022-11-23T01:28:49.1044732Z test_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1045019Z test_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:28:49.1045175Z test_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:28:49.1045326Z test_nn_Unflatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:28:49.1045457Z test_nn_Unfold (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:28:49.1045601Z test_nn_Unfold_int_input (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:28:49.1045741Z test_nn_ZeroPad2d (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:28:49.1045887Z test_nn_ZeroPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1046041Z test_nn_ZeroPad2d_negative_dims (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:28:49.1046190Z test_nn_ZeroPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:28:49.1046327Z test_nn_interpolate_bicubic_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:28:49.1046490Z test_nn_interpolate_bicubic_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1046649Z test_nn_interpolate_bicubic_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1046822Z test_nn_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1046995Z test_nn_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1047183Z test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1047339Z test_nn_interpolate_bicubic_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1047511Z test_nn_interpolate_bicubic_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1047660Z test_nn_interpolate_bilinear_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1047809Z test_nn_interpolate_bilinear_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1048019Z test_nn_interpolate_bilinear_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1048193Z test_nn_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1048365Z test_nn_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1048552Z test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1048707Z test_nn_interpolate_bilinear_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1048882Z test_nn_interpolate_bilinear_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1049031Z test_nn_interpolate_linear_1d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1049234Z test_nn_interpolate_linear_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1049380Z test_nn_interpolate_linear_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1049533Z test_nn_interpolate_linear_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1049705Z test_nn_interpolate_linear_scale_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1049860Z test_nn_interpolate_linear_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050010Z test_nn_interpolate_nearest_1d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050168Z test_nn_interpolate_nearest_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050315Z test_nn_interpolate_nearest_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050482Z test_nn_interpolate_nearest_2d_launch_configs (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050628Z test_nn_interpolate_nearest_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050774Z test_nn_interpolate_nearest_3d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1050927Z test_nn_interpolate_nearest_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051083Z test_nn_interpolate_nearest_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051237Z test_nn_interpolate_nearest_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051387Z test_nn_interpolate_nearest_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051542Z test_nn_interpolate_nearest_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051691Z test_nn_interpolate_nearest_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051842Z test_nn_interpolate_nearest_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1051983Z test_nn_interpolate_trilinear_3d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1052145Z test_nn_interpolate_trilinear_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1052301Z test_nn_interpolate_trilinear_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1052477Z test_nn_interpolate_trilinear_scale_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1052633Z test_nn_interpolate_trilinear_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1052809Z test_nn_interpolate_trilinear_tuple_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1052950Z test_nn_log_softmax_dim0 (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1053090Z test_nn_log_softmax_dim3 (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1053223Z test_nn_log_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1053408Z test_nn_log_softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1053553Z test_nn_log_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1053707Z test_nn_log_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1053883Z test_nn_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054033Z test_nn_softmax_functional_dim0 (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054181Z test_nn_softmax_functional_dim3 (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054337Z test_nn_softmax_functional_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054464Z test_nn_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054644Z test_nn_softmax_lastdim_dtype (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054786Z test_nn_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1054934Z test_nn_softmax_spatial_dtype (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1055084Z test_nn_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.002s) 2022-11-23T01:28:49.1055252Z test_checkscriptassertraisesregex (jit.test_jit_utils.TestJitUtils) ... ok (0.002s) 2022-11-23T01:28:49.1055413Z test_get_callable_argument_names_hybrid (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1055577Z test_get_callable_argument_names_keyword_only (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1055747Z test_get_callable_argument_names_positional_only (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1055910Z test_get_callable_argument_names_positional_or_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1056077Z test_get_callable_argument_names_var_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1056243Z test_get_callable_argument_names_var_positional (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1056396Z test_no_tracer_warn_context_manager (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:28:49.1056535Z test_comprehension_iterable (jit.test_list_dict.TestList) ... ok (0.020s) 2022-11-23T01:28:49.1056685Z test_comprehension_out_type_not_in_type (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:28:49.1056822Z test_comprehensions_basic (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:28:49.1056966Z test_comprehensions_basic_float (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1057095Z test_comprehensions_two_comps (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1057230Z test_copy_list_immutable (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:28:49.1057360Z test_copy_list_mutable (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:28:49.1057476Z test_del (jit.test_list_dict.TestList) ... ok (0.011s) 2022-11-23T01:28:49.1057623Z test_dict_keyword_is_correctly_typed (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1057777Z test_dict_keyword_with_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1057947Z test_dict_keyword_with_dict_comprehension_and_kwargs (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1058111Z test_dict_keyword_with_empty_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:28:49.1058245Z test_dict_keyword_with_empty_iterable (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:28:49.1058409Z test_dict_keyword_with_internal_aggregate_function (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1058551Z test_dict_keyword_with_iterable (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1058686Z test_dict_keyword_with_kwargs (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1058889Z test_dict_keyword_with_kwargs_using_container_values (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1059031Z test_dict_keyword_with_mapping (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1059184Z test_dict_keyword_with_mapping_and_kwargs (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1059342Z test_dict_keyword_with_mismatched_annotations (jit.test_list_dict.TestList) ... ok (0.002s) 2022-11-23T01:28:49.1059484Z test_dict_keyword_with_nested_call (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1059636Z test_dict_keyword_with_previously_declared_variable (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1059815Z test_dict_keyword_with_previously_declared_variable_and_kwargs (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1060016Z test_extend_list_immutable (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1060150Z test_extend_list_mutable (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1060269Z test_in_check (jit.test_list_dict.TestList) ... ok (0.013s) 2022-11-23T01:28:49.1060401Z test_list_bool_conversion (jit.test_list_dict.TestList) ... ok (0.019s) 2022-11-23T01:28:49.1060521Z test_list_count (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1060656Z test_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1060768Z test_list_gather (jit.test_list_dict.TestList) ... ok (0.011s) 2022-11-23T01:28:49.1060890Z test_list_index (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1061025Z test_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.018s) 2022-11-23T01:28:49.1061150Z test_list_keyword (jit.test_list_dict.TestList) ... ok (0.015s) 2022-11-23T01:28:49.1061271Z test_list_len (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1061395Z test_list_literal (jit.test_list_dict.TestList) ... ok (0.012s) 2022-11-23T01:28:49.1061517Z test_list_none (jit.test_list_dict.TestList) ... ok (0.001s) 2022-11-23T01:28:49.1061621Z test_list_ops (jit.test_list_dict.TestList) ... ok (0.059s) 2022-11-23T01:28:49.1061743Z test_list_slice (jit.test_list_dict.TestList) ... ok (0.022s) 2022-11-23T01:28:49.1061864Z test_list_sort (jit.test_list_dict.TestList) ... ok (0.036s) 2022-11-23T01:28:49.1061998Z test_list_unification_hint (jit.test_list_dict.TestList) ... ok (0.002s) 2022-11-23T01:28:49.1062111Z test_list_variance (jit.test_list_dict.TestList) 2022-11-23T01:28:49.1062241Z `List[T1]` is not a subtype of `List[T2]`, even if `T1` is a ... ok (0.010s) 2022-11-23T01:28:49.1062364Z test_min_bool_list (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1062485Z test_min_max_list (jit.test_list_dict.TestList) ... ok (0.060s) 2022-11-23T01:28:49.1062606Z test_min_max_single_list (jit.test_list_dict.TestList) ... ok (0.042s) 2022-11-23T01:28:49.1062738Z test_mutable_list_append (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1062874Z test_mutable_list_append_2 (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1063011Z test_mutable_list_append_if (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1063154Z test_mutable_list_append_if_else (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1063292Z test_mutable_list_append_loop (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1063435Z test_mutable_list_append_loop_if (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1063563Z test_mutable_list_clear (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1063687Z test_mutable_list_clear_empty (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1063829Z test_mutable_list_function_inline (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1063962Z test_mutable_list_insert (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1064146Z test_mutable_list_insert_neg_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1064293Z test_mutable_list_insert_negative (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1064438Z test_mutable_list_insert_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1064575Z test_mutable_list_nested_loop (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1064705Z test_mutable_list_pop (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1064822Z test_mutable_list_pop2 (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1064951Z test_mutable_list_pop_at (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1065082Z test_mutable_list_pop_at2 (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1065222Z test_mutable_list_pop_at_negative (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1065395Z test_mutable_list_pop_at_negative2 (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1065534Z test_mutable_list_pop_empty (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1065667Z test_mutable_list_pop_slice (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1065800Z test_mutable_list_remove (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:28:49.1065917Z test_mutable_list_remove2 (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1066064Z test_mutable_list_remove_not_existing (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1066202Z test_mutable_list_remove_tensor (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1066332Z test_mutable_list_reverse (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1066471Z test_mutable_list_reverse_empty (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:28:49.1066612Z test_mutable_tensor_list_reverse (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1066750Z test_no_element_type_annotation (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:28:49.1066872Z test_slice_index (jit.test_list_dict.TestList) ... ok (0.028s) 2022-11-23T01:28:49.1066990Z test_tensor_list_count (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:28:49.1067132Z test_tensor_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1067259Z test_tensor_list_index (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:28:49.1067401Z test_tensor_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.019s) 2022-11-23T01:28:49.1067506Z test_to_list (jit.test_list_dict.TestList) 2022-11-23T01:28:49.1067623Z Unit tests for Tensor.tolist() function. ... ok (0.242s) 2022-11-23T01:28:49.1067732Z test_to_list_gpu (jit.test_list_dict.TestList) 2022-11-23T01:28:49.1067877Z GPU tests for Tensor.tolist() function. ... skip: CUDA is not available (0.001s) 2022-11-23T01:28:49.1068004Z test_bump_numeric_counter (jit.test_logging.TestLogging) ... ok (0.008s) 2022-11-23T01:28:49.1068146Z test_counter_aggregation (jit.test_logging.TestLogging) ... ok (0.007s) 2022-11-23T01:28:49.1068283Z test_logging_levels_set (jit.test_logging.TestLogging) ... ok (0.001s) 2022-11-23T01:28:49.1068425Z test_time_measurement_counter (jit.test_logging.TestLogging) ... ok (0.003s) 2022-11-23T01:28:49.1068578Z test_time_measurement_counter_script (jit.test_logging.TestLogging) ... ok (0.007s) 2022-11-23T01:28:49.1068717Z test_trace_numeric_counter (jit.test_logging.TestLogging) ... ok (0.006s) 2022-11-23T01:28:49.1068879Z test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.021s) 2022-11-23T01:28:49.1069035Z test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.012s) 2022-11-23T01:28:49.1069174Z test_successful (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.013s) 2022-11-23T01:28:49.1069343Z test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.011s) 2022-11-23T01:28:49.1069486Z test_broadcasting_list (jit.test_misc.TestMisc) 2022-11-23T01:28:49.1069621Z Test BroadcastingList and torch.nn._size_N_t alias ... ok (0.007s) 2022-11-23T01:28:49.1069755Z test_export_opnames_interface (jit.test_misc.TestMisc) ... ok (0.025s) 2022-11-23T01:28:49.1069880Z test_future_isinstance (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1069997Z test_hacked_twin (jit.test_misc.TestMisc) ... ok (0.002s) 2022-11-23T01:28:49.1070107Z test_if_returning_any (jit.test_misc.TestMisc) 2022-11-23T01:28:49.1070218Z Check that an if statement can return different ... ok (0.005s) 2022-11-23T01:28:49.1070333Z test_joined_str (jit.test_misc.TestMisc) ... ok (0.004s) 2022-11-23T01:28:49.1070455Z test_kwarg_support (jit.test_misc.TestMisc) ... ok (0.008s) 2022-11-23T01:28:49.1070588Z test_legacy_tensor_constructor (jit.test_misc.TestMisc) ... ok (0.017s) 2022-11-23T01:28:49.1070764Z test_list_literal_infer (jit.test_misc.TestMisc) ... ok (0.009s) 2022-11-23T01:28:49.1070881Z test_math_inf (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1071003Z test_parse_ir_annotate (jit.test_misc.TestMisc) ... ok (0.001s) 2022-11-23T01:28:49.1071140Z test_parse_ir_single_element_tensor_negative (jit.test_misc.TestMisc) ... ok (0.001s) 2022-11-23T01:28:49.1071289Z test_parse_ir_single_element_tensor_positive (jit.test_misc.TestMisc) ... ok (0.001s) 2022-11-23T01:28:49.1071420Z test_script_many_decorators (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1071541Z test_str_refine_any (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1071681Z test_subexpression_Dict_int_Future (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1071819Z test_subexpression_Future_annotate (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1071954Z test_subexpression_List_Future (jit.test_misc.TestMisc) ... ok (0.002s) 2022-11-23T01:28:49.1072090Z test_subexpression_Optional (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1072224Z test_subexpression_Tuple_int_int_Future (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:28:49.1072358Z test_tuple_subscripted_assign (jit.test_misc.TestMisc) ... ok (0.002s) 2022-11-23T01:28:49.1072538Z test_call_script_fn_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:28:49.1072725Z test_call_script_module_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.016s) 2022-11-23T01:28:49.1072900Z test_call_traced_fn_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.006s) 2022-11-23T01:28:49.1073075Z test_call_traced_mod_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.010s) 2022-11-23T01:28:49.1073253Z test_call_tracing_fn_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.009s) 2022-11-23T01:28:49.1073431Z test_call_tracing_mod_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.012s) 2022-11-23T01:28:49.1073615Z test_script_inline_trace_multiple_args (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:28:49.1073764Z test_trace_dict_mix_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.044s) 2022-11-23T01:28:49.1073922Z test_trace_hierarchy (jit.test_tracer.TestMixTracingScripting) ... ok (0.026s) 2022-11-23T01:28:49.1074072Z test_trace_linear (jit.test_tracer.TestMixTracingScripting) ... ok (0.020s) 2022-11-23T01:28:49.1074255Z test_trace_mixed_by_script_with_dict_output (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:28:49.1074414Z test_trace_of_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.012s) 2022-11-23T01:28:49.1074570Z test_trace_parameter (jit.test_tracer.TestMixTracingScripting) ... ok (0.024s) 2022-11-23T01:28:49.1074742Z test_trace_returning_dict_with_tensor_tuples (jit.test_tracer.TestMixTracingScripting) 2022-11-23T01:28:49.1074906Z Tracing over a module returning a dictionary whose values are tuples of tensors ... ok (0.012s) 2022-11-23T01:28:49.1075107Z test_trace_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.155s) 2022-11-23T01:28:49.1075279Z test_trace_script_returning_complex_dict (jit.test_tracer.TestMixTracingScripting) 2022-11-23T01:28:49.1075429Z Tracing over a script function returning a dictionary should work. ... ok (0.026s) 2022-11-23T01:28:49.1075585Z test_trace_with_size (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s) 2022-11-23T01:28:49.1075783Z test_traced_module_contains_scripted_interface_types (jit.test_tracer.TestMixTracingScripting) ... ok (0.070s) 2022-11-23T01:28:49.1075962Z test_traced_module_implements_interface (jit.test_tracer.TestMixTracingScripting) ... ok (0.062s) 2022-11-23T01:28:49.1076121Z test_tracing_indexing (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s) 2022-11-23T01:28:49.1076278Z test_tracing_slicing (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s) 2022-11-23T01:28:49.1076430Z test_alexnet (jit.test_models.TestModels) ... ok (0.893s) 2022-11-23T01:28:49.1077173Z test_dcgan_models (jit.test_models.TestModels) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79142 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:28:49.1077326Z test_dcgan_models_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1077443Z test_mnist (jit.test_models.TestModels) ... ok (0.352s) 2022-11-23T01:28:49.1077580Z test_mnist_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1077745Z test_mnist_training_leaks_no_memory_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.001s) 2022-11-23T01:28:49.1077941Z test_neural_style (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.1078088Z test_neural_style_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1078233Z test_reinforcement_learning (jit.test_models.TestModels) ... ok (0.040s) 2022-11-23T01:28:49.1078392Z test_reinforcement_learning_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1078596Z test_script_module_script_resnet (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s) 2022-11-23T01:28:49.1078807Z test_script_module_trace_resnet18 (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.1078992Z test_snli (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.1079128Z test_snli_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1079260Z test_snli_quantized (jit.test_models.TestModels) ... ok (0.581s) 2022-11-23T01:28:49.1079461Z test_super_resolution (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.1079612Z test_super_resolution_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1079755Z test_time_sequence_prediction (jit.test_models.TestModels) ... ok (0.118s) 2022-11-23T01:28:49.1079871Z test_vae (jit.test_models.TestModels) ... ok (0.173s) 2022-11-23T01:28:49.1079992Z test_vae_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1080239Z test_vae_quantized (jit.test_models.TestModels) ... ok (0.089s) 2022-11-23T01:28:49.1080388Z test_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-11-23T01:28:49.1080523Z Tests that customized state dict methods are in effect ... ok (0.033s) 2022-11-23T01:28:49.1080667Z test_default_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-11-23T01:28:49.1080822Z Tests that default state dict methods are automatically available ... ok (0.026s) 2022-11-23T01:28:49.1081023Z test_submodule_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-11-23T01:28:49.1081178Z Tests that customized state dict methods on submodules are in effect ... ok (0.041s) 2022-11-23T01:28:49.1081348Z test_custom_container_forward (jit.test_module_containers.TestModuleContainers) ... ok (0.072s) 2022-11-23T01:28:49.1081532Z test_empty_dict_override_contains (jit.test_module_containers.TestModuleContainers) ... ok (0.021s) 2022-11-23T01:28:49.1081713Z test_module_inplace_construct (jit.test_module_containers.TestModuleContainers) ... ok (0.018s) 2022-11-23T01:28:49.1081901Z test_module_interface_special_methods (jit.test_module_containers.TestModuleContainers) ... ok (0.052s) 2022-11-23T01:28:49.1082073Z test_module_properties (jit.test_module_containers.TestModuleContainers) ... ok (0.031s) 2022-11-23T01:28:49.1082267Z test_moduledict (jit.test_module_containers.TestModuleContainers) ... ok (0.190s) 2022-11-23T01:28:49.1082438Z test_moduledict_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.034s) 2022-11-23T01:28:49.1082612Z test_moduledict_keyerror (jit.test_module_containers.TestModuleContainers) ... ok (0.012s) 2022-11-23T01:28:49.1082793Z test_normal_list_attribute_with_modules_error (jit.test_module_containers.TestModuleContainers) 2022-11-23T01:28:49.1082930Z Test that an attempt to script a module with a regular list attribute ... ok (0.003s) 2022-11-23T01:28:49.1083116Z test_parameterdict_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.015s) 2022-11-23T01:28:49.1083302Z test_parameterlist_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.044s) 2022-11-23T01:28:49.1083484Z test_parameterlist_script_iter (jit.test_module_containers.TestModuleContainers) ... ok (0.059s) 2022-11-23T01:28:49.1083666Z test_script_module_list_sequential (jit.test_module_containers.TestModuleContainers) ... ok (0.023s) 2022-11-23T01:28:49.1083846Z test_script_modulelist_index (jit.test_module_containers.TestModuleContainers) ... ok (0.102s) 2022-11-23T01:28:49.1084037Z test_sequential_intermediary_types (jit.test_module_containers.TestModuleContainers) ... ok (0.025s) 2022-11-23T01:28:49.1084219Z test_special_method_with_override (jit.test_module_containers.TestModuleContainers) ... ok (0.025s) 2022-11-23T01:28:49.1084365Z test_typed_module_dict (jit.test_module_containers.TestModuleContainers) 2022-11-23T01:28:49.1084521Z Test that a type annotation can be provided for a ModuleDict that allows ... ok (0.062s) 2022-11-23T01:28:49.1084677Z test_typed_module_list (jit.test_module_containers.TestModuleContainers) 2022-11-23T01:28:49.1084997Z Test that a type annotation can be provided for a ModuleList that allows ... ok (0.052s) 2022-11-23T01:28:49.1085240Z test_freeze_module_with_inplace_mutation_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.023s) 2022-11-23T01:28:49.1085425Z test_freeze_module_with_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.020s) 2022-11-23T01:28:49.1085619Z test_freeze_module_with_interface_and_fork (jit.test_module_interface.TestModuleInterface) ... ok (0.028s) 2022-11-23T01:28:49.1085808Z test_freeze_module_with_mutated_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.025s) 2022-11-23T01:28:49.1086000Z test_freeze_module_with_setattr_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.021s) 2022-11-23T01:28:49.1086158Z test_module_apis_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.016s) 2022-11-23T01:28:49.1086322Z test_module_doc_string (jit.test_module_interface.TestModuleInterface) ... ok (0.021s) 2022-11-23T01:28:49.1086487Z test_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.090s) 2022-11-23T01:28:49.1086668Z test_module_interface_inheritance (jit.test_module_interface.TestModuleInterface) ... ok (0.001s) 2022-11-23T01:28:49.1086844Z test_module_interface_subtype (jit.test_module_interface.TestModuleInterface) ... ok (0.177s) 2022-11-23T01:28:49.1087063Z test_module_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.022s) 2022-11-23T01:28:49.1087243Z test_module_swap_no_lazy_compile (jit.test_module_interface.TestModuleInterface) ... ok (0.025s) 2022-11-23T01:28:49.1087426Z test_module_swap_no_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.016s) 2022-11-23T01:28:49.1087598Z test_module_swap_wrong_module (jit.test_module_interface.TestModuleInterface) ... ok (0.020s) 2022-11-23T01:28:49.1087796Z test_not_submodule_interface_call (jit.test_module_interface.TestModuleInterface) ... ok (0.012s) 2022-11-23T01:28:49.1087977Z test_script_module_as_interface_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.024s) 2022-11-23T01:28:49.1088120Z test_script_module_with_constants_list (jit.test_modules.TestModules) 2022-11-23T01:28:49.1088291Z Test that a module that has __constants__ set to something ... ok (0.009s) 2022-11-23T01:28:49.1088432Z test_namedtuple (jit.test_list_dict.TestNamedTuple) ... ok (0.005s) 2022-11-23T01:28:49.1088580Z test_namedtuple_as_attr (jit.test_list_dict.TestNamedTuple) ... ok (0.005s) 2022-11-23T01:28:49.1088728Z test_namedtuple_constant (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:28:49.1088881Z test_namedtuple_kwarg_construct (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:28:49.1089010Z test_namedtuple_lower (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:28:49.1089158Z test_namedtuple_resolution (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:28:49.1089356Z test_namedtuple_serialization (jit.test_list_dict.TestNamedTuple) ... skip: broken while these tests were not in CI (0.001s) 2022-11-23T01:28:49.1089508Z test_namedtuple_slice_unpack (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:28:49.1089663Z test_namedtuple_type_annotation (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:28:49.1089813Z test_namedtuple_wrong_types (jit.test_list_dict.TestNamedTuple) ... ok (0.002s) 2022-11-23T01:28:49.1089954Z test_return_named_tuple (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:28:49.1090355Z test_adaptive_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:49.1090433Z t = torch.tensor(t) 2022-11-23T01:28:49.1090488Z ok (0.301s) 2022-11-23T01:28:49.1090633Z test_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (1.094s) 2022-11-23T01:28:49.1090771Z test_cat (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.046s) 2022-11-23T01:28:49.1090927Z test_compile_spec_santiy (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.008s) 2022-11-23T01:28:49.1091069Z test_conv2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (3.277s) 2022-11-23T01:28:49.1091222Z test_conv2d_transpose (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.509s) 2022-11-23T01:28:49.1091367Z test_dequantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.011s) 2022-11-23T01:28:49.1091506Z test_detach (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.022s) 2022-11-23T01:28:49.1091633Z test_flatten (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.099s) 2022-11-23T01:28:49.1091774Z test_hardtanh (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.026s) 2022-11-23T01:28:49.1091911Z test_linear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.024s) 2022-11-23T01:28:49.1092452Z test_log_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:28:49.1092550Z return forward_call(*input, **kwargs) 2022-11-23T01:28:49.1092971Z /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:28:49.1093084Z outs = wrap_retval(mod(*_clone_inputs(inputs))) 2022-11-23T01:28:49.1093151Z ok (0.022s) 2022-11-23T01:28:49.1093283Z test_max_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.529s) 2022-11-23T01:28:49.1093421Z test_mean (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.066s) 2022-11-23T01:28:49.1093568Z test_multi_output (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.012s) 2022-11-23T01:28:49.1093719Z test_pointwise_binary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.097s) 2022-11-23T01:28:49.1093873Z test_pointwise_binary_const (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.044s) 2022-11-23T01:28:49.1094029Z test_pointwise_unary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.043s) 2022-11-23T01:28:49.1094197Z test_prelu (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.032s) 2022-11-23T01:28:49.1094335Z test_qadd (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.148s) 2022-11-23T01:28:49.1094475Z test_qlinear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.092s) 2022-11-23T01:28:49.1094615Z test_quantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.014s) 2022-11-23T01:28:49.1094754Z test_reshape (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.026s) 2022-11-23T01:28:49.1094897Z test_seblock_mul (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.011s) 2022-11-23T01:28:49.1095021Z test_slice (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.041s) 2022-11-23T01:28:49.1095521Z test_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:28:49.1095617Z return forward_call(*input, **kwargs) 2022-11-23T01:28:49.1095999Z /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:28:49.1096108Z outs = wrap_retval(mod(*_clone_inputs(inputs))) 2022-11-23T01:28:49.1096175Z ok (0.032s) 2022-11-23T01:28:49.1096322Z test_tensor_input (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.017s) 2022-11-23T01:28:49.1096460Z test_to (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.029s) 2022-11-23T01:28:49.1096590Z test_unsqueeze (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.051s) 2022-11-23T01:28:49.1096744Z test_upsample_nearest2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.387s) 2022-11-23T01:28:49.1096922Z test_op_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.044s) 2022-11-23T01:28:49.1097113Z test_registered_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.038s) 2022-11-23T01:28:49.1097378Z test_fuse_activation_with_pack_ops_linear_conv2d_1 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.029s) 2022-11-23T01:28:49.1097632Z test_fuse_activation_with_pack_ops_linear_conv2d_2 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.028s) 2022-11-23T01:28:49.1097880Z test_fuse_activation_with_pack_ops_linear_conv2d_3 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.027s) 2022-11-23T01:28:49.1098124Z test_fuse_activation_with_pack_ops_linear_conv2d_4 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.027s) 2022-11-23T01:28:49.1098392Z test_insert_pre_packed_linear_before_inline_and_conv_2d_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.010s) 2022-11-23T01:28:49.1098640Z test_insert_pre_packed_linear_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.011s) 2022-11-23T01:28:49.1098902Z test_replace_conv1d_with_conv2d (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.007s) 2022-11-23T01:28:49.1099012Z test_any (jit.test_pdt.TestPDT) ... ok (0.012s) 2022-11-23T01:28:49.1099143Z test_class_as_profiled_types (jit.test_pdt.TestPDT) ... ok (0.017s) 2022-11-23T01:28:49.1099264Z test_class_methods (jit.test_pdt.TestPDT) ... ok (0.008s) 2022-11-23T01:28:49.1099407Z test_class_with_args_as_profiled_types (jit.test_pdt.TestPDT) ... ok (0.015s) 2022-11-23T01:28:49.1099541Z test_class_with_multiple_methods (jit.test_pdt.TestPDT) ... ok (0.010s) 2022-11-23T01:28:49.1099671Z test_fx_tracing_with_typing (jit.test_pdt.TestPDT) ... ok (0.007s) 2022-11-23T01:28:49.1099810Z test_multiple_class_with_same_method (jit.test_pdt.TestPDT) ... ok (0.016s) 2022-11-23T01:28:49.1099962Z test_nested_function_in_forward (jit.test_pdt.TestPDT) ... ok (0.009s) 2022-11-23T01:28:49.1100093Z test_nested_list_and_tuple (jit.test_pdt.TestPDT) ... ok (0.016s) 2022-11-23T01:28:49.1100220Z test_nested_nn_module_class (jit.test_pdt.TestPDT) ... ok (0.011s) 2022-11-23T01:28:49.1100361Z test_nested_nn_module_class_with_args (jit.test_pdt.TestPDT) ... ok (0.012s) 2022-11-23T01:28:49.1100472Z test_nn_module (jit.test_pdt.TestPDT) ... ok (0.007s) 2022-11-23T01:28:49.1100609Z test_nn_module_with_export_function (jit.test_pdt.TestPDT) ... ok (0.009s) 2022-11-23T01:28:49.1100733Z test_nn_parameter_as_arg (jit.test_pdt.TestPDT) ... ok (0.007s) 2022-11-23T01:28:49.1100868Z test_nonetype_as_optional_of_type (jit.test_pdt.TestPDT) ... ok (0.008s) 2022-11-23T01:28:49.1100961Z test_pdt (jit.test_pdt.TestPDT) ... ok (0.018s) 2022-11-23T01:28:49.1119637Z test_pdt_dict (jit.test_pdt.TestPDT) ... ok (0.007s) 2022-11-23T01:28:49.1119893Z test_pdt_list_and_tuple (jit.test_pdt.TestPDT) ... ok (0.008s) 2022-11-23T01:28:49.1120152Z test_scriptable (jit.test_parametrization.TestParametrization) ... ok (0.033s) 2022-11-23T01:28:49.1120316Z test_traceable (jit.test_parametrization.TestParametrization) 2022-11-23T01:28:49.1120448Z Test the jit scripting and tracing of a parametrized model. ... ok (0.034s) 2022-11-23T01:28:49.1120587Z test_conv_dim_folding (jit.test_peephole.TestPeephole) ... ok (0.061s) 2022-11-23T01:28:49.1120728Z test_integer_refinement (jit.test_peephole.TestPeephole) ... ok (0.017s) 2022-11-23T01:28:49.1120865Z test_noop_peephole (jit.test_peephole.TestPeephole) ... ok (0.016s) 2022-11-23T01:28:49.1120999Z test_normalized_is_op (jit.test_peephole.TestPeephole) ... ok (0.004s) 2022-11-23T01:28:49.1121138Z test_normalized_isnot_op (jit.test_peephole.TestPeephole) ... ok (0.004s) 2022-11-23T01:28:49.1121276Z test_normalized_rsub (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1121475Z test_optimize_out_comparison_same_value (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1121668Z test_peephole (jit.test_peephole.TestPeephole) ... ok (0.008s) 2022-11-23T01:28:49.1121819Z test_peephole_add_zero (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1121954Z test_peephole_arith (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1122125Z test_peephole_cuda (jit.test_peephole.TestPeephole) ... skip: cpp tests require CUDA (0.001s) 2022-11-23T01:28:49.1122312Z test_peephole_dict_getitem_no_optimization_dict_modified (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1122496Z test_peephole_dict_getitem_no_optimization_get_input_arg (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1122686Z test_peephole_dict_getitem_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.002s) 2022-11-23T01:28:49.1122861Z test_peephole_dict_getitem_no_optimization_missing_key (jit.test_peephole.TestPeephole) ... ok (0.002s) 2022-11-23T01:28:49.1123041Z test_peephole_dict_getitem_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.002s) 2022-11-23T01:28:49.1123359Z test_peephole_dict_getitem_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1123515Z test_peephole_dict_getitem_simple (jit.test_peephole.TestPeephole) ... ok (0.009s) 2022-11-23T01:28:49.1123653Z test_peephole_dict_len (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1123830Z test_peephole_dict_len_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1124008Z test_peephole_dict_len_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1124189Z test_peephole_dict_len_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1124326Z test_peephole_dynamic (jit.test_peephole.TestPeephole) ... ok (0.002s) 2022-11-23T01:28:49.1124510Z test_peephole_int (jit.test_peephole.TestPeephole) ... ok (0.002s) 2022-11-23T01:28:49.1124638Z test_peephole_len_list (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1124873Z test_peephole_list_len (jit.test_peephole.TestPeephole) ... ok (0.039s) 2022-11-23T01:28:49.1125008Z test_peephole_list_ops (jit.test_peephole.TestPeephole) ... ok (0.012s) 2022-11-23T01:28:49.1125159Z test_peephole_no_output_aliasing (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1125307Z test_peephole_optional_refine (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1125459Z test_peephole_slice_all_three_args (jit.test_peephole.TestPeephole) ... ok (0.004s) 2022-11-23T01:28:49.1125611Z test_peephole_slice_one_empty_arg (jit.test_peephole.TestPeephole) ... ok (0.011s) 2022-11-23T01:28:49.1125795Z test_peephole_slice_optimization_not_applied_list_modified (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1125974Z test_peephole_slice_optimization_not_applied_non_const_args (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1126125Z test_peephole_slice_two_empty_args (jit.test_peephole.TestPeephole) ... ok (0.012s) 2022-11-23T01:28:49.1126271Z test_peephole_type_refinements (jit.test_peephole.TestPeephole) ... ok (0.011s) 2022-11-23T01:28:49.1126423Z test_peephole_with_non_output_writes (jit.test_peephole.TestPeephole) ... ok (0.006s) 2022-11-23T01:28:49.1126567Z test_peephole_with_writes (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1126706Z test_refine_integer_values (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:28:49.1126856Z test_short_circuit_optimization (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:28:49.1126980Z test_version (__main__.TestProducerVersion) ... ok (0.001s) 2022-11-23T01:28:49.1127105Z test_aliasing_merge (jit.test_profiler.TestProfiler) ... ok (0.045s) 2022-11-23T01:28:49.1127254Z test_autograd_fallback_graph (jit.test_profiler.TestProfiler) ... ok (0.040s) 2022-11-23T01:28:49.1127406Z test_fallback_graph_not_specialized (jit.test_profiler.TestProfiler) ... ok (0.024s) 2022-11-23T01:28:49.1127542Z test_iterative_fusion (jit.test_profiler.TestProfiler) ... ok (0.046s) 2022-11-23T01:28:49.1127682Z test_local_fusion_strategy (jit.test_profiler.TestProfiler) ... ok (0.026s) 2022-11-23T01:28:49.1127822Z test_not_fusing_scalar_ops (jit.test_profiler.TestProfiler) ... ok (0.002s) 2022-11-23T01:28:49.1127966Z test_not_optimizing_property (jit.test_profiler.TestProfiler) ... ok (0.025s) 2022-11-23T01:28:49.1128107Z test_specialize_backward (jit.test_profiler.TestProfiler) ... ok (0.094s) 2022-11-23T01:28:49.1128236Z test_specialized_types (jit.test_profiler.TestProfiler) ... ok (0.023s) 2022-11-23T01:28:49.1128369Z test_tensor_constant (jit.test_profiler.TestProfiler) ... ok (0.024s) 2022-11-23T01:28:49.1128525Z test_tensor_type_not_determined_by_inputs (jit.test_profiler.TestProfiler) ... ok (0.052s) 2022-11-23T01:28:49.1128664Z test_use_not_profiled (jit.test_profiler.TestProfiler) ... ok (0.026s) 2022-11-23T01:28:49.1128867Z test_add_input (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s) 2022-11-23T01:28:49.1129018Z test_aliasdb (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:28:49.1129175Z test_canonicalize (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s) 2022-11-23T01:28:49.1129334Z test_cu_create_function (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:28:49.1129482Z test_cu_get_functions (jit.test_python_bindings.TestPythonBindings) ... ok (0.004s) 2022-11-23T01:28:49.1129631Z test_graph_create (jit.test_python_bindings.TestPythonBindings) ... ok (0.002s) 2022-11-23T01:28:49.1129793Z test_graph_iterator_keepalive (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:28:49.1129944Z test_invalidation (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:28:49.1130147Z test_add (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.008s) 2022-11-23T01:28:49.1130307Z test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.022s) 2022-11-23T01:28:49.1130473Z test_advancedindex (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.022s) 2022-11-23T01:28:49.1130625Z test_gather (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.004s) 2022-11-23T01:28:49.1130773Z test_index (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.027s) 2022-11-23T01:28:49.1130919Z test_index_ellipses (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.095s) 2022-11-23T01:28:49.1131065Z test_inf (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s) 2022-11-23T01:28:49.1131216Z test_matmul_py3 (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.008s) 2022-11-23T01:28:49.1131352Z test_mul (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s) 2022-11-23T01:28:49.1131491Z test_pow (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.035s) 2022-11-23T01:28:49.1131645Z test_random (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.003s) 2022-11-23T01:28:49.1131792Z test_slice (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.015s) 2022-11-23T01:28:49.1131953Z test_stepped_tuple_slicing (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s) 2022-11-23T01:28:49.1132096Z test_str_to_float (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s) 2022-11-23T01:28:49.1132241Z test_triple (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.005s) 2022-11-23T01:28:49.1132371Z test_param_strides (jit.test_python_ir.TestPythonIr) ... ok (0.004s) 2022-11-23T01:28:49.1132520Z test_attributes (jit.test_recursive_script.TestRecursiveScript) ... ok (0.172s) 2022-11-23T01:28:49.1132675Z test_class_compile (jit.test_recursive_script.TestRecursiveScript) ... ok (0.020s) 2022-11-23T01:28:49.1132836Z test_constants_with_final (jit.test_recursive_script.TestRecursiveScript) ... ok (0.019s) 2022-11-23T01:28:49.1132981Z test_dir (jit.test_recursive_script.TestRecursiveScript) ... ok (0.046s) 2022-11-23T01:28:49.1133131Z test_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-11-23T01:28:49.1133287Z test_error_stack_annotation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s) 2022-11-23T01:28:49.1133446Z test_error_stack_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-11-23T01:28:49.1133600Z test_error_stack_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s) 2022-11-23T01:28:49.1133768Z test_failed_function_compilation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.003s) 2022-11-23T01:28:49.1133944Z test_function_attribute_in_submodule (jit.test_recursive_script.TestRecursiveScript) ... ok (0.019s) 2022-11-23T01:28:49.1134098Z test_ignore_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s) 2022-11-23T01:28:49.1134256Z test_inferred_nonetype (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-11-23T01:28:49.1134408Z test_init_error (jit.test_recursive_script.TestRecursiveScript) ... ok (0.001s) 2022-11-23T01:28:49.1134590Z test_inner_traced_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.018s) 2022-11-23T01:28:49.1134744Z test_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.049s) 2022-11-23T01:28:49.1134896Z test_method_call (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s) 2022-11-23T01:28:49.1135049Z test_module_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.015s) 2022-11-23T01:28:49.1135211Z test_module_function_export (jit.test_recursive_script.TestRecursiveScript) ... ok (0.016s) 2022-11-23T01:28:49.1135363Z test_module_name (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:28:49.1135507Z test_module_repr (jit.test_recursive_script.TestRecursiveScript) ... ok (0.021s) 2022-11-23T01:28:49.1135661Z test_optional_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.020s) 2022-11-23T01:28:49.1135867Z test_override_instance_method_ignore (jit.test_recursive_script.TestRecursiveScript) ... ok (0.003s) 2022-11-23T01:28:49.1136031Z test_prepare_scriptable_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s) 2022-11-23T01:28:49.1136198Z test_prepare_scriptable_cycle (jit.test_recursive_script.TestRecursiveScript) ... ok (0.003s) 2022-11-23T01:28:49.1136382Z test_prepare_scriptable_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.051s) 2022-11-23T01:28:49.1136547Z test_python_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s) 2022-11-23T01:28:49.1136707Z test_repeated_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-11-23T01:28:49.1136864Z test_script_after_eval (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-11-23T01:28:49.1137012Z test_script_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-11-23T01:28:49.1137180Z test_script_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.017s) 2022-11-23T01:28:49.1137324Z test_script_loaded_module (jit.test_recursive_script.TestRecursiveScript) 2022-11-23T01:28:49.1137459Z Test that we can hold a loaded ScriptModule as a submodule. ... ok (0.013s) 2022-11-23T01:28:49.1137607Z test_aten_inplace (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.016s) 2022-11-23T01:28:49.1137765Z test_common_pytorch_list_ops (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.029s) 2022-11-23T01:28:49.1137906Z test_if_output (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.004s) 2022-11-23T01:28:49.1138052Z test_if_output_fail (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.006s) 2022-11-23T01:28:49.1138205Z test_list_indexing_removal (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.015s) 2022-11-23T01:28:49.1138350Z test_lists_append (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.006s) 2022-11-23T01:28:49.1138495Z test_lists_insert (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.004s) 2022-11-23T01:28:49.1138644Z test_special_mapped_op (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.010s) 2022-11-23T01:28:49.1138764Z test_different_functions (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1138898Z Exercise the situation where we have the same qualified name ... ok (0.023s) 2022-11-23T01:28:49.1139027Z test_different_interfaces (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1139156Z Exercise the situation where we have the same qualified name ... ok (0.050s) 2022-11-23T01:28:49.1139276Z test_different_modules (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1139410Z Exercise the situation where we have the same qualified name ... ok (0.035s) 2022-11-23T01:28:49.1139532Z test_many_collisions (jit.test_save_load.TestSaveLoad) ... ok (0.075s) 2022-11-23T01:28:49.1139655Z test_save_load_meta_tensors (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1139812Z Check that parameters, buffers, and submodules are the same after loading ... ok (0.019s) 2022-11-23T01:28:49.1139978Z test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1140129Z Check that parameters, buffers, and submodules are the same after loading. ... ok (0.008s) 2022-11-23T01:28:49.1140271Z test_save_load_using_pathlib (jit.test_save_load.TestSaveLoad) ... ok (0.006s) 2022-11-23T01:28:49.1140413Z test_save_load_with_extra_files (jit.test_save_load.TestSaveLoad) ... ok (0.012s) 2022-11-23T01:28:49.1140546Z test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1140688Z Even if a NamedTuple is only used as an input argument, saving and ... ok (0.007s) 2022-11-23T01:28:49.1140812Z test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoad) 2022-11-23T01:28:49.1140958Z Even if a NamedTuple is only used as an output argument, saving and ... ok (0.007s) 2022-11-23T01:28:49.1141120Z test_save_nonexit_file (jit.test_save_load.TestSaveLoad) ... ok (0.008s) 2022-11-23T01:28:49.1141264Z test_different_functions (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1141462Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:28:49.1141605Z test_different_interfaces (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1141795Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:28:49.1141937Z test_different_modules (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1142118Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:28:49.1142326Z test_many_collisions (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-11-23T01:28:49.1142542Z test_module_info_flatbuffer (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:28:49.1142707Z test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1142912Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:28:49.1143127Z test_save_load_using_pathlib (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.000s) 2022-11-23T01:28:49.1143277Z test_save_load_with_extra_files (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1143474Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.000s) 2022-11-23T01:28:49.1143623Z test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1143821Z Even if a NamedTuple is only used as an input argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.000s) 2022-11-23T01:28:49.1143973Z test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:28:49.1144165Z Even if a NamedTuple is only used as an output argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.000s) 2022-11-23T01:28:49.1144399Z test_versioned_div_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Falsifying explicit example: test_versioned_div_scalar( 2022-11-23T01:28:49.1144584Z self=, 2022-11-23T01:28:49.1144669Z sample_input=(2, 3, 2.0, 3.0), 2022-11-23T01:28:49.1144723Z ) 2022-11-23T01:28:49.1144809Z skip: Failed to load fixture! (0.124s) 2022-11-23T01:28:49.1145001Z test_versioned_div_scalar_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.434s) 2022-11-23T01:28:49.1145204Z test_versioned_div_scalar_reciprocal (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.107s) 2022-11-23T01:28:49.1145418Z test_versioned_div_scalar_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.006s) 2022-11-23T01:28:49.1145600Z test_versioned_div_tensor (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.091s) 2022-11-23T01:28:49.1145782Z test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.552s) 2022-11-23T01:28:49.1145971Z test_versioned_div_tensor_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (1.204s) 2022-11-23T01:28:49.1146149Z test_versioned_linspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.011s) 2022-11-23T01:28:49.1146339Z test_versioned_linspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.008s) 2022-11-23T01:28:49.1146521Z test_versioned_logspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.009s) 2022-11-23T01:28:49.1146740Z test_versioned_logspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.009s) 2022-11-23T01:28:49.1146848Z test_add_out (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1146980Z test_add_tuple_different_types (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1147107Z test_add_tuple_non_optional (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1147218Z test_add_tuple_optional (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1147339Z test_add_tuple_same_types (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1147435Z test_addmm_grad (__main__.TestScript) 2022-11-23T01:28:49.1147542Z This test checks several things: ... ok (0.005s) 2022-11-23T01:28:49.1147679Z test_alias_covariant_type_containers (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1147780Z test_all (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1147906Z test_annot_ast_mypy_fn (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1148017Z test_annot_ast_mypy_method (__main__.TestScript) ... ok (0.034s) 2022-11-23T01:28:49.1148136Z test_annot_ast_py3_fn (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:28:49.1148257Z test_annot_ast_py3_method (__main__.TestScript) ... ok (0.039s) 2022-11-23T01:28:49.1148376Z test_annot_string_mypy_fn (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1148503Z test_annot_string_mypy_method (__main__.TestScript) ... ok (0.026s) 2022-11-23T01:28:49.1148622Z test_annot_string_py3_fn (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1148748Z test_annot_string_py3_method (__main__.TestScript) ... ok (0.026s) 2022-11-23T01:28:49.1148866Z test_annotated_script_fn (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1148990Z test_annotated_script_fn_arg_mismatch (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1149131Z test_annotated_script_fn_return_mismatch (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1149259Z test_annotated_script_method (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1149378Z test_annoying_doubles (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1149479Z test_any (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1149616Z test_assert_is_scripting_metacompile (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1149748Z test_assertion_optional_refinement (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1149872Z test_attr_module_constants (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:28:49.1149981Z test_attr_qscheme_script (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1150097Z test_attribute_in_init (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1150229Z test_attribute_serialization (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1150353Z test_attribute_unpickling (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1150476Z test_augmented_assign (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1150607Z test_autodiff_complex (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:28:49.1150758Z test_backend_cudnn_enabled (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1150876Z test_bad_multiline_annotations (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1151017Z test_bailout_loop_carried_deps_name_clash (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1151153Z test_bailout_loop_counter_transition (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1151342Z test_batch_norm_inference_backward_cuda (__main__.TestScript) ... skip: running tests on cuda to verify cudnn fix (0.002s) 2022-11-23T01:28:49.1151466Z test_batchnorm_fuser_cpu (__main__.TestScript) ... ok (0.199s) 2022-11-23T01:28:49.1151586Z test_big_float_literals (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1151703Z test_big_int_literals (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1151847Z test_binary_op_shape (__main__.TestScript) ... ok (0.223s) 2022-11-23T01:28:49.1151948Z test_bitwise_ops (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:28:49.1152076Z test_block_input_grad_in_loop (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1152208Z test_bool_augassign_bitwise_and (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1152335Z test_bool_augassign_bitwise_or (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1152463Z test_bool_augassign_bitwise_xor (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1152580Z test_bool_dispatch (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:28:49.1152726Z test_boolean_literal_constant_metacompile (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1152848Z test_break_continue_error (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1152953Z test_breaks_continues (__main__.TestScript) ... ok (0.122s) 2022-11-23T01:28:49.1153065Z test_builtin_args (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1153228Z test_builtin_args_fails (__main__.TestScript) ... You have not run this instance of FileCheck! 2022-11-23T01:28:49.1153302Z FileCheck checks: 2022-11-23T01:28:49.1153654Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[List[int], int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:28:49.1153782Z File "/var/lib/jenkins/workspace/test/test_jit.py", line 10806 2022-11-23T01:28:49.1153863Z @torch.jit.script 2022-11-23T01:28:49.1153935Z def f6(a): 2022-11-23T01:28:49.1154007Z a.expand(size=[3, [4]]) 2022-11-23T01:28:49.1154221Z ~~~~~~ <--- HERE 2022-11-23T01:28:49.1154310Z (function emitListLiteral) 2022-11-23T01:28:49.1154379Z ok (0.006s) 2022-11-23T01:28:49.1154512Z test_builtin_function_attributes (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1154638Z test_builtin_use_as_value (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1154747Z test_call_ge (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1154866Z test_call_python_fn_from_script_fn (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1155005Z test_call_python_fn_from_script_module (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1155143Z test_call_python_fn_from_traced_module (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1155278Z test_call_python_fn_from_tracing_fn (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1155412Z test_call_python_mod_from_script_fn (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1155550Z test_call_python_mod_from_script_module (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1155689Z test_call_python_mod_from_traced_module (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:28:49.1155825Z test_call_python_mod_from_tracing_fn (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1155945Z test_call_script_fn_from_script_fn (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1156114Z test_call_script_fn_from_script_module (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1156248Z test_call_script_fn_from_tracing_fn (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1156379Z test_call_script_mod_from_script_fn (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1156516Z test_call_script_mod_from_script_module (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1156683Z test_call_script_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s) 2022-11-23T01:28:49.1156816Z test_call_traced_fn_from_tracing_fn (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1156980Z test_call_traced_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s) 2022-11-23T01:28:49.1157265Z test_calls_in_type_annotations (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/__init__.py 2022-11-23T01:28:49.1157349Z ok (0.001s) 2022-11-23T01:28:49.1157486Z test_canonicalize_control_outputs (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1157686Z test_cast (__main__.TestScript) ... skip: RuntimeError: VariableType::ID() not implemented (0.000s) 2022-11-23T01:28:49.1157790Z test_cat (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1157900Z test_cat_lifts (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1158001Z test_chr (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1158111Z test_circular_dependency (__main__.TestScript) 2022-11-23T01:28:49.1158243Z https://github.com/pytorch/pytorch/issues/25871 ... ok (0.029s) 2022-11-23T01:28:49.1158366Z test_class_as_attribute (__main__.TestScript) ... ok (0.466s) 2022-11-23T01:28:49.1158483Z test_class_attribute (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1158614Z test_class_attribute_in_script (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1158761Z test_class_with_comment_at_lower_indentation (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1158871Z test_code_with_constants (__main__.TestScript) 2022-11-23T01:28:49.1159046Z Check that the `code_with_constants` property correctly returns graph CONSTANTS in the ... ok (0.006s) 2022-11-23T01:28:49.1159167Z test_code_with_constants_restore (__main__.TestScript) 2022-11-23T01:28:49.1159335Z Check that the `code_with_constants` property correctly works on restoration after save() + load() ... ok (0.008s) 2022-11-23T01:28:49.1159458Z test_comment_ignore_indent (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1159586Z test_compare_two_bool_inputs (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1159787Z test_compile_module_with_constant (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.1159910Z test_conditional_casting (__main__.TestScript) ... ok (0.045s) 2022-11-23T01:28:49.1160124Z test_constant_as_attr (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1160273Z test_constant_pooling_introduce_aliasing (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1160399Z test_constant_pooling_none (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1160523Z test_constant_pooling_same_identity (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1160641Z test_context_manager (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1160752Z test_conv_error (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1160867Z test_convert_base (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:28:49.1160997Z test_cpp_function_tensor_str (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1161118Z test_cpp_module_iterator (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1161238Z test_desugar_module (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1161351Z test_device_kwarg (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1161453Z test_device_type (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1161594Z test_device_type_cuda (__main__.TestScript) ... skip: Requires CUDA (0.000s) 2022-11-23T01:28:49.1161735Z test_dir (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1161846Z test_divmod (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:28:49.1162006Z test_dominated_bailout (__main__.TestScript) ... skip: bailouts are being deprecated (0.002s) 2022-11-23T01:28:49.1162120Z test_dropout_eval (__main__.TestScript) ... ok (0.213s) 2022-11-23T01:28:49.1162229Z test_dtype_attr (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1162345Z test_dtype_op_shape (__main__.TestScript) ... ok (0.043s) 2022-11-23T01:28:49.1162451Z test_dtype_op_shape2 (__main__.TestScript) ... ok (0.053s) 2022-11-23T01:28:49.1162573Z test_early_return_closure (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1162695Z test_early_return_fork_join (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1162847Z test_early_return_rewrite (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1162983Z test_early_return_type_refinement (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1163108Z test_early_returns_loops (__main__.TestScript) ... ok (0.036s) 2022-11-23T01:28:49.1163229Z test_ellipsis_const_end (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1163336Z test_ellipsis_const_mid (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1163468Z test_ellipsis_const_mid_select (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1163589Z test_ellipsis_const_start (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1163703Z test_ellipsis_end (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1163817Z test_ellipsis_mid (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1163936Z test_ellipsis_mid_select (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1164052Z test_ellipsis_start (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1164186Z test_embedding_renorm_grad_error (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1164304Z test_empty_like_memory_format_bc (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1164419Z test_empty_tuple_str (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1164546Z test_enumerate_modlist_range (__main__.TestScript) ... ok (0.033s) 2022-11-23T01:28:49.1164664Z test_erase_number_types (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1164889Z test_error (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1165010Z test_error_stacktrace (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1165142Z test_error_stacktrace_interface (__main__.TestScript) ... ok (0.761s) 2022-11-23T01:28:49.1165243Z test_eval_python (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1165369Z test_exception_exits_closure (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1165502Z test_exceptions_with_control_flow (__main__.TestScript) ... ok (0.035s) 2022-11-23T01:28:49.1165615Z test_expand (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1165720Z test_fibb (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1165843Z test_fibb_totally_better (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1165976Z test_file_format_serialization (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1166092Z test_file_line_error (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1166208Z test_file_line_error_class_defn (__main__.TestScript) ... ok (0.704s) 2022-11-23T01:28:49.1166323Z test_file_line_graph (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1166442Z test_file_line_save_load (__main__.TestScript) ... ok (0.289s) 2022-11-23T01:28:49.1166559Z test_file_line_string (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1166675Z test_file_line_trace (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1166785Z test_filecheck (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1166906Z test_filecheck_parse (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1167026Z test_first_class_calls (__main__.TestScript) ... ok (0.421s) 2022-11-23T01:28:49.1167223Z test_first_class_module (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1167337Z test_floor_div (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1167448Z test_floordiv (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:28:49.1167556Z test_for_else (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1167669Z test_for_in_dict (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1167787Z test_for_in_enumerate (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:28:49.1167900Z test_for_in_range (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1168002Z test_for_in_range_ast (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:28:49.1168122Z test_for_in_range_dynamic (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:28:49.1168242Z test_for_in_range_if_ast (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1168425Z test_for_in_range_start_end (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1168556Z test_for_in_range_start_end_step (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1168682Z test_for_in_range_zero_step (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1168796Z test_for_in_string (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:28:49.1168910Z test_for_in_tensors (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1169026Z test_for_in_tensors_fail_scalar (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1169146Z test_for_in_tensors_nested (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1169268Z test_for_in_tensors_rank0 (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1169379Z test_for_in_zip (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:28:49.1169500Z test_for_in_zip_enumerate (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:28:49.1169620Z test_for_tuple_assign (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1169735Z test_for_tuple_unpack (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1169828Z test_format (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1169937Z test_func_call (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1170070Z test_function_compilation_caching (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1170199Z test_function_overload_misuse (__main__.TestScript) ... ok (0.835s) 2022-11-23T01:28:49.1170340Z test_function_overloading_isinstance (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1170462Z test_function_overloads (__main__.TestScript) ... ok (0.051s) 2022-11-23T01:28:49.1170664Z test_fuser_double_float_codegen (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:49.1170800Z test_fuser_double_literal_precision (__main__.TestScript) ... ok (0.150s) 2022-11-23T01:28:49.1170911Z test_fuser_multiple_blocks (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1171035Z test_gather_dynamic_index (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1171157Z test_generic_list_errors (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1171270Z test_get_set_state (__main__.TestScript) ... ok (0.031s) 2022-11-23T01:28:49.1171397Z test_get_set_state_with_tensors (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1171514Z test_grad_from_script (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1171617Z test_hash (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1171729Z test_hex_literals (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1171816Z test_id (__main__.TestScript) ... ok (0.385s) 2022-11-23T01:28:49.1171916Z test_if (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1172024Z test_if_define (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1172145Z test_if_different_type (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1172263Z test_if_for_in_range (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1172383Z test_if_is_none_dispatch (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:28:49.1172523Z test_if_list_cat (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1172624Z test_if_nest_while (__main__.TestScript) ... ok (0.052s) 2022-11-23T01:28:49.1172731Z test_if_noelse (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1172851Z test_if_not_defined_error (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1172964Z test_if_supertype (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1173082Z test_ignore_decorator (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1173197Z test_ignored_as_value (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1173323Z test_ignored_method_binding (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1173437Z test_ignored_props (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1173592Z test_import_constants_not_specialized (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1173713Z test_in_for_and_comp_expr (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1173845Z test_in_operator_with_two_strings (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1173944Z test_index (__main__.TestScript) ... ok (0.083s) 2022-11-23T01:28:49.1174065Z test_index_select_shape_prop (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1174177Z test_index_with_tuple (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1174287Z test_indexing_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1174397Z test_infer_size (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1174491Z test_inferred_error_msg (__main__.TestScript) 2022-11-23T01:28:49.1174640Z Test that when we get a type mismatch on a function where we inferred ... ok (0.002s) 2022-11-23T01:28:49.1174756Z test_inherit_method (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1174966Z test_inline_and_run_annotated_script_fn (__main__.TestScript) ... skip: https://github.com/pytorch/pytorch/issues/9595 (0.000s) 2022-11-23T01:28:49.1175066Z test_inlined_graph (__main__.TestScript) 2022-11-23T01:28:49.1175222Z Check that the `inlined_graph` property correctly returns an inlined ... ok (0.010s) 2022-11-23T01:28:49.1175338Z test_inlining_cleanup (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1175450Z test_inplace_add (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1175559Z test_inplace_copy_script (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1175683Z test_input_keyword_in_schema (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1175789Z test_int_cast (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1175919Z test_integral_shape_inference (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1176035Z test_interpret_graph (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1176154Z test_interpreter_fuzz (__main__.TestScript) ... ok (0.293s) 2022-11-23T01:28:49.1176268Z test_intlist_args (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1176383Z test_invalid_call_arguments (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1176507Z test_invalid_lhs_assignment (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1176635Z test_invalid_prefix_annotation (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1176745Z test_irparser (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1176855Z test_is_after_use (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1177022Z test_is_isnot (__main__.TestScript) ... :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177149Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177270Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177377Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177502Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177623Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177770Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1177890Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178010Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178127Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178245Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178355Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178475Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178594Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178712Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178856Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1178972Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179089Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179202Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179323Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179440Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179560Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179678Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179797Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1179915Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180033Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180142Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180262Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180379Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180495Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180612Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180731Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180852Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1180971Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181076Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181192Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181312Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181428Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181546Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181665Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181783Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1181900Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182006Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182123Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182241Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182357Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182478Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182603Z :4: SyntaxWarning: "is" with a literal. Did you mean "=="? 2022-11-23T01:28:49.1182733Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1182878Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183007Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183135Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183260Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183387Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183512Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183638Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183762Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1183903Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184029Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184158Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184284Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184408Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184533Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184658Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184779Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1184893Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185015Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185141Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185266Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185395Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185519Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185644Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185769Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1185881Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186005Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186126Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186248Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186372Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186500Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186626Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186749Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186860Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1186983Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187110Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187234Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187359Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187481Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187606Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187736Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187873Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1187999Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1188122Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1188246Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1188376Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1188498Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1188623Z :4: SyntaxWarning: "is not" with a literal. Did you mean "!="? 2022-11-23T01:28:49.1188677Z ok (0.046s) 2022-11-23T01:28:49.1188793Z test_is_optional (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1188908Z test_is_scripting (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1189067Z test_is_scripting_metacompile (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1189178Z test_isinstance (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1189301Z test_isinstance_dynamic (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1189429Z test_isinstance_metacompile (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1189554Z test_isinstance_refinement (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1189651Z test_jitter_bug (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1189758Z test_keyword (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1189879Z test_kwarg_expansion_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1189995Z test_kwargs_error_msg (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1190107Z test_lazy_script (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:28:49.1190246Z test_lhs_advanced_indexing_assignment (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1190401Z test_lhs_advanced_indexing_augmented_assignment (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1190516Z test_lhs_indexing (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1190631Z test_lhs_indexing_increment (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1190761Z test_lhs_indexing_increment_list (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1190897Z test_lhs_indexing_increment_list_prim (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1191015Z test_lhs_indexing_list (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1191135Z test_lhs_indexing_multi (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1191246Z test_linear_grad (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1191383Z test_list_comprehension_modulelist (__main__.TestScript) ... ok (0.049s) 2022-11-23T01:28:49.1191510Z test_list_comprehension_variable_write (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1191626Z test_list_iterables (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1191743Z test_list_python_op (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1191855Z test_list_unify (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1191961Z test_literal (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:28:49.1192070Z test_literals (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1192192Z test_logical_short_circuit (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:28:49.1192306Z test_loop_liveness (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1192415Z test_loop_unroll_negative (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1192544Z test_loop_unroll_unused_counter (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1192658Z test_loop_unrolling (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1192779Z test_loop_unrolling_const (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1192903Z test_loop_unrolling_nested (__main__.TestScript) ... ok (0.053s) 2022-11-23T01:28:49.1193027Z test_lower_nested_tuples (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1193135Z test_math_ops (__main__.TestScript) ... ok (0.211s) 2022-11-23T01:28:49.1193338Z test_maxpool_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:28:49.1193533Z test_meshgrid (__main__.TestScript) ... skip: Profiling executor fails to recognize that tensors in a list require gradients (0.001s) 2022-11-23T01:28:49.1193654Z test_method_casts_script (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1193768Z test_method_no_self (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1193889Z test_method_overloading (__main__.TestScript) ... ok (8.292s) 2022-11-23T01:28:49.1194008Z test_missing_getstate (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1194120Z test_mm_batching (__main__.TestScript) ... ok (0.544s) 2022-11-23T01:28:49.1194231Z test_module_apis (__main__.TestScript) ... ok (0.051s) 2022-11-23T01:28:49.1194359Z test_module_attrs (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1194489Z test_module_copy_with_attributes (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1194608Z test_module_copying (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:28:49.1194719Z test_module_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1194851Z test_module_method_reassignment (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1194972Z test_module_none_attrs (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1195106Z test_module_parameters_and_buffers (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:28:49.1195215Z test_module_str (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1195337Z test_module_with_params_called_fails (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1195453Z test_multi_reduction (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1195577Z test_multi_starred_expr_lhs (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1195707Z test_multiline_annot_ast_py3_fn (__main__.TestScript) ... ok (0.031s) 2022-11-23T01:28:49.1195853Z test_multiline_optional_future_refinement (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1195980Z test_multiline_string_dedents (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1196098Z test_multiple_assign (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1196221Z test_multiple_assignment (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1196319Z test_mutable_dce (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1196437Z test_mutable_dce_block (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1196564Z test_mutable_dce_graph_input (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1196703Z test_mutable_dce_indirect_wildcard_write (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1196841Z test_mutable_dce_indirect_wildcards (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1196959Z test_mutable_dce_list (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1197076Z test_mutable_dce_loop (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1197200Z test_mutable_dce_wildcards (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1197303Z test_mutate_constant (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1197422Z test_mypy_type_ignore (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1197551Z test_named_buffers_are_iterable (__main__.TestScript) ... ok (0.045s) 2022-11-23T01:28:49.1197671Z test_namedtuple_attr (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1197815Z test_namedtuple_default_values_Tensor_type (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1197963Z test_namedtuple_default_values_container_type (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:28:49.1198102Z test_namedtuple_default_values_missing (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1198248Z test_namedtuple_default_values_simple_type (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1198401Z test_namedtuple_default_values_using_factory_constructor (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1198551Z test_namedtuple_python (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1198687Z test_namedtuple_type_inference (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1198801Z test_narrow_copy (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1198919Z test_nested_aug_assign (__main__.TestScript) ... ok (1.012s) 2022-11-23T01:28:49.1199037Z test_nested_bailouts (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1199152Z test_nested_breaks (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:28:49.1199261Z test_nested_list_construct (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1199383Z test_nested_select_assign (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:28:49.1199489Z test_nn_GRU (__main__.TestScript) ... ok (0.169s) 2022-11-23T01:28:49.1199625Z test_nn_LSTM (__main__.TestScript) ... ok (0.109s) 2022-11-23T01:28:49.1199745Z test_nn_LSTM_with_layers (__main__.TestScript) ... ok (0.109s) 2022-11-23T01:28:49.1199852Z test_nn_init (__main__.TestScript) ... ok (0.033s) 2022-11-23T01:28:49.1199967Z test_no_dtype_shape (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1200189Z test_no_self_arg_ignore_function (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1200295Z test_non_final_return (__main__.TestScript) ... ok (0.081s) 2022-11-23T01:28:49.1200409Z test_none_type_str (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1200511Z test_not (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1200634Z test_not_initialized_err (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1200757Z test_ntuple_builtins (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1200869Z test_number_abs (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1200988Z test_number_augassign (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1201116Z test_number_augassign_bitwise_lshift (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1201253Z test_number_augassign_bitwise_pow (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1201391Z test_number_augassign_bitwise_rshift (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1201501Z test_number_div (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1201614Z test_number_math (__main__.TestScript) ... ok (1.920s) 2022-11-23T01:28:49.1201726Z test_number_neg (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1201896Z test_old_models_bc (__main__.TestScript) ... skip: PyTorch is build without Caffe2 support (0.001s) 2022-11-23T01:28:49.1202009Z test_oneline_func (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1202105Z test_op_dtype (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1202231Z test_operator_precedence (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1202575Z test_optional_list (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.001s) 2022-11-23T01:28:49.1202875Z test_optional_tensor (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.001s) 2022-11-23T01:28:49.1202980Z test_ord (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1203099Z test_override_magic (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1203227Z test_pack_tuple_into_non_var (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1203348Z test_pack_unpack_nested (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:28:49.1203455Z test_pack_unpack_state (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:28:49.1203611Z test_parameter_order (__main__.TestScript) ... tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 2022-11-23T01:28:49.1203712Z 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 2022-11-23T01:28:49.1203813Z 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 2022-11-23T01:28:49.1203902Z 42., 43., 44., 45., 46., 47., 48., 49., 50., 51.], 2022-11-23T01:28:49.1204024Z grad_fn=) 2022-11-23T01:28:49.1204127Z tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 2022-11-23T01:28:49.1204222Z 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 2022-11-23T01:28:49.1204303Z 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 2022-11-23T01:28:49.1204393Z 42., 43., 44., 45., 46., 47., 48., 49., 50., 51.], 2022-11-23T01:28:49.1204476Z grad_fn=) 2022-11-23T01:28:49.1204544Z ok (0.010s) 2022-11-23T01:28:49.1204677Z test_parse_empty_tuple_annotation (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1204935Z test_parse_empty_tuple_annotation_element_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1205058Z test_parse_nested_names (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1205256Z test_parse_none_type_annotation (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1205371Z test_parse_tensor_constants (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1205493Z test_parser_kwargonly (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1205625Z test_parser_type_annotations (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1205765Z test_parser_type_annotations_comment (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1205927Z test_parser_type_annotations_incompatible_expression (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1206079Z test_parser_type_annotations_subscript_non_ident (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1206229Z test_parser_type_annotations_subscript_tensor (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1206373Z test_parser_type_annotations_unknown_type (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1206481Z test_partial_returns (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1206585Z test_pass (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1206709Z test_pickle_checkpoint (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1206849Z test_pickle_checkpoint_cuda (__main__.TestScript) ... skip: no CUDA (0.000s) 2022-11-23T01:28:49.1206974Z test_pickle_checkpoint_tup (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1207137Z test_pow_scalar_backward_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-11-23T01:28:49.1207262Z test_pretty_print_function (__main__.TestScript) ... ok (0.029s) 2022-11-23T01:28:49.1207436Z test_prim_grad_undefined (__main__.TestScript) ... skip: shape analysis is only enabled in Legacy (0.001s) 2022-11-23T01:28:49.1207527Z test_print (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1207637Z test_print_kwargs (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1207806Z test_profiling_graph_executor (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:28:49.1207926Z test_profiling_merge (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1208059Z test_pybind_type_comparisons (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1208170Z test_python_call (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1208295Z test_python_call_annotation (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1208418Z test_python_call_annoytation_failure (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1208541Z test_python_call_failure (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1208665Z test_python_call_non_tensor (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1208795Z test_python_call_non_tensor_wrong (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1208913Z test_python_frontend (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1209033Z test_python_frontend_py3 (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1209164Z test_python_frontend_source_range (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1209284Z test_python_op_builtins (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1209424Z test_python_op_name (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1209554Z test_python_val_doesnt_have_attr (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1209700Z test_rand (__main__.TestScript) ... skip: the original version of test_rand (0.001s) 2022-11-23T01:28:49.1209816Z test_rand_profiling (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1209926Z test_range_args (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1210047Z test_reassign_module_lhs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1210169Z test_reassign_module_rhs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1210290Z test_refine_tuple_types (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1210393Z test_remove_dropout (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1210555Z test_repeated_script_on_function (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1210671Z test_request_bailout (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1210823Z test_requires_grad_loop (__main__.TestScript) ... skip: Peeling is now disabled (0.001s) 2022-11-23T01:28:49.1210955Z test_rescripting_loaded_modules (__main__.TestScript) ... ok (0.029s) 2022-11-23T01:28:49.1211073Z test_resize_input_ops (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1211178Z test_return (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:28:49.1211288Z test_return_stmt_not_at_end (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1211400Z test_return_tuple (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1211520Z test_robust_op_resolution (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1211625Z test_round (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1211748Z test_save_load_attr_error (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1211868Z test_script_annotation (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1211992Z test_script_bool_constant (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1212103Z test_script_chunk (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1212210Z test_script_clamp_none (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1212324Z test_script_copy (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1212431Z test_script_cu (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1212553Z test_script_define_order (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1212691Z test_script_define_order_recursive_fail (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1212809Z test_script_docstring (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1212947Z test_script_forward_method_replacement (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1213093Z test_script_get_device_cuda (__main__.TestScript) ... skip: requires CUDA (0.000s) 2022-11-23T01:28:49.1213210Z test_script_get_tracing_state (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1213331Z test_script_is_tracing (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1213453Z test_script_kwargs_fn_call (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1213579Z test_script_method_docstring (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1213722Z test_script_method_torch_function_overload (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1213836Z test_script_module (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:28:49.1213966Z test_script_module_call_noscript (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1214085Z test_script_module_const (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1214213Z test_script_module_const_submodule_fail (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1214344Z test_script_module_export_blocks (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1214984Z test_script_module_export_shared_storage (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:28:49.1215085Z warnings.warn(message, UserWarning) 2022-11-23T01:28:49.1215150Z ok (0.010s) 2022-11-23T01:28:49.1215284Z test_script_module_export_submodule (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1215464Z test_script_module_export_tensor_cuda (__main__.TestScript) ... skip: testing cuda tensors require CUDA (0.001s) 2022-11-23T01:28:49.1215599Z test_script_module_export_tensor_type (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1215711Z test_script_module_fail_exist (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1215830Z test_script_module_for (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1215975Z test_script_module_for2 (__main__.TestScript) ... ok (0.033s) 2022-11-23T01:28:49.1216110Z test_script_module_invalid_consts (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1216247Z test_script_module_nochange_submodule (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1216586Z test_script_module_none_exist_fail (__main__.TestScript) ... skip: [module dedupe] currently NoneType refinement on optional attributes doesn't work. (0.001s) 2022-11-23T01:28:49.1216714Z test_script_module_not_tuple (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1216854Z test_script_module_param_buffer_mutation (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1216970Z test_script_module_star_assign2 (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1217107Z test_script_module_star_assign2_inplace (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1217250Z test_script_module_star_assign_fail_builtin (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1217398Z test_script_module_star_assign_fail_pythonop (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1217539Z test_script_module_tensor_subclass_argument (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1217664Z test_script_nested_mod_list (__main__.TestScript) ... ok (0.036s) 2022-11-23T01:28:49.1217795Z test_script_non_tensor_args_outputs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1217915Z test_script_optional_none (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:28:49.1218019Z test_script_outputs (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1218149Z test_script_pack_padded_sequence (__main__.TestScript) ... ok (0.038s) 2022-11-23T01:28:49.1218286Z test_script_pad_sequence_pack_sequence (__main__.TestScript) ... ok (0.040s) 2022-11-23T01:28:49.1218398Z test_script_scope (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1218522Z test_script_sequential_for (__main__.TestScript) ... ok (0.025s) 2022-11-23T01:28:49.1218657Z test_script_sequential_in_mod_list (__main__.TestScript) ... ok (0.041s) 2022-11-23T01:28:49.1218797Z test_script_sequential_multi_output_fail (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:28:49.1218928Z test_script_sequential_orderdict (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:28:49.1219054Z test_script_sequential_sliced_iteration (__main__.TestScript) ... ok (0.033s) 2022-11-23T01:28:49.1219175Z test_script_star_assign (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1219292Z test_script_star_expr (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:28:49.1219419Z test_script_star_expr_string (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:28:49.1219540Z test_scriptable_fn_as_attr (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1219690Z test_scriptmodule_multi_head_attn_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:28:49.1219844Z test_scriptmodule_releases_tensors_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:28:49.1219995Z test_scriptmodule_transformer_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:28:49.1220135Z test_select_after_chunk (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1220254Z test_sequence_parsing (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1220389Z test_sequential_intermediary_types (__main__.TestScript) ... ok (0.025s) 2022-11-23T01:28:49.1220515Z test_serialization_big_ints (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:28:49.1220639Z test_serialization_sharing (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1220760Z test_serialize_long_lines (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1220887Z test_serialized_source_ranges (__main__.TestScript) ... ok (0.432s) 2022-11-23T01:28:49.1221015Z test_serialized_source_ranges2 (__main__.TestScript) ... ok (0.438s) 2022-11-23T01:28:49.1221145Z test_serialized_source_ranges_dont_jitter (__main__.TestScript) ... ok (0.075s) 2022-11-23T01:28:49.1221310Z test_serialized_source_ranges_graph (__main__.TestScript) ... ok (0.297s) 2022-11-23T01:28:49.1221451Z test_serialized_source_ranges_no_dups (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1221588Z test_set_attribute_through_optional (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1221720Z test_shape_analysis_grad_property (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1221842Z test_shape_analysis_loop (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1221976Z test_shape_prop_promote_scalar_arg (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1222102Z test_shape_prop_promotion (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1222210Z test_signed_float_zero (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1222343Z test_single_starred_expr_for_loop (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1222463Z test_single_starred_lhs (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1222590Z test_singleton_tuple_unpack (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1222765Z test_slice_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:28:49.1222870Z test_split (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1222972Z test_stack (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1223088Z test_static_if_prop (__main__.TestScript) ... ok (2.085s) 2022-11-23T01:28:49.1223187Z test_static_method_on_module (__main__.TestScript) 2022-11-23T01:28:49.1223342Z Check that the `@staticmethod` annotation on a function on a module works. ... ok (0.008s) 2022-11-23T01:28:49.1223459Z test_static_methods (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:28:49.1223565Z test_str_cast (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1223672Z test_string_cu (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1223813Z test_string_device_implicit_conversion (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1223941Z test_string_frontend_elif (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1224040Z test_string_index (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1224152Z test_string_len (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1224263Z test_string_list (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1224380Z test_string_new_line (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1224490Z test_string_ops (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1224600Z test_string_print (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1224723Z test_string_single_escape (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1224837Z test_string_slicing (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1224936Z test_string_sort (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1225049Z test_string_sorted (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1225188Z test_submodule_attribute_serialization (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1225308Z test_submodule_twice (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1225440Z test_sum (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1225560Z test_sum_list_diff_elms (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1225674Z test_sum_list_empty (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1225777Z test_sum_list_literal (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1225884Z test_sum_list_one (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1226006Z test_sum_list_wrong_type (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1226126Z test_sys_stdout_override (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1226422Z test_tensor_as_tensor_shape_prop (__main__.TestScript) ... skip: Simple Executor doesn't have any shapes to propagate (0.001s) 2022-11-23T01:28:49.1226531Z test_tensor_data (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1226711Z test_tensor_device (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-11-23T01:28:49.1226826Z test_tensor_dtype (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1226926Z test_tensor_grad (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1227048Z test_tensor_import_export (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1227157Z test_tensor_len (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1227275Z test_tensor_number_math (__main__.TestScript) ... ok (0.407s) 2022-11-23T01:28:49.1227412Z test_tensor_number_math_cuda (__main__.TestScript) ... skip: No CUDA (0.000s) 2022-11-23T01:28:49.1227565Z test_tensor_requires_grad (__main__.TestScript) ... skip: testing legacy behavior (0.001s) 2022-11-23T01:28:49.1227677Z test_tensor_shape (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1228241Z test_tensor_subclasses (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either. 2022-11-23T01:28:49.1228388Z warnings.warn("TorchScript will treat type annotations of Tensor " 2022-11-23T01:28:49.1228443Z ok (0.007s) 2022-11-23T01:28:49.1228553Z test_tensor_to (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:28:49.1228666Z test_tensor_to_cpu (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1228814Z test_tensor_to_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.000s) 2022-11-23T01:28:49.1228963Z test_tensor_to_device (__main__.TestScript) ... skip: device tests require CUDA (0.000s) 2022-11-23T01:28:49.1229069Z test_ternary (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1229197Z test_ternary_module_type_hint (__main__.TestScript) ... ok (0.041s) 2022-11-23T01:28:49.1229327Z test_ternary_right_associative (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1229436Z test_ternary_static_if (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1229544Z test_torch_any (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:28:49.1229707Z test_torch_functional (__main__.TestScript) ... skip: Skipping while landing PR stack (0.002s) 2022-11-23T01:28:49.1229846Z test_torch_functional_tensordot_int (__main__.TestScript) ... ok (0.043s) 2022-11-23T01:28:49.1229983Z test_torch_functional_tensordot_list (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1230126Z test_torch_functional_tensordot_tensor (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:28:49.1230262Z test_torch_functional_tensordot_tuple (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1230383Z test_torch_ignore_conversion_to_none (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:28:49.1230539Z test_torch_manual_seed (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1230648Z test_torch_pow (__main__.TestScript) ... ok (0.031s) 2022-11-23T01:28:49.1231235Z test_torch_tensor_as_tensor (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.) 2022-11-23T01:28:49.1231329Z return callable(*args, **kwargs) 2022-11-23T01:28:49.1231394Z ok (0.518s) 2022-11-23T01:28:49.1231530Z test_torch_tensor_as_tensor_empty_list (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1231654Z test_torch_tensor_bad_input (__main__.TestScript) ... ok (0.028s) 2022-11-23T01:28:49.1231774Z test_torch_tensor_dtype (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1231894Z test_torchscript_memoryformat (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1232023Z test_torchscript_multi_head_attn (__main__.TestScript) ... ok (0.079s) 2022-11-23T01:28:49.1232167Z test_torchscript_multi_head_attn_fast_path (__main__.TestScript) ... ok (0.160s) 2022-11-23T01:28:49.1232316Z test_training_param (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1232438Z test_tuple_assignments (__main__.TestScript) ... ok (0.368s) 2022-11-23T01:28:49.1232557Z test_tuple_error_msg (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1232677Z test_tuple_index_to_list (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1232780Z test_tuple_indexing (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:28:49.1232888Z test_tuple_len (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1233006Z test_tuple_nested_sort (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1233117Z test_tuple_sort (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1233239Z test_tuple_sort_reverse (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1233351Z test_tuple_sorted (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1233468Z test_tuple_to_opt_list (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1233599Z test_tuple_unsortable_diff_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1233722Z test_tuple_unsortable_element_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1233862Z test_tuple_unsortable_nested_diff_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1233977Z test_type_annotate (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:28:49.1234104Z test_type_annotation_module (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1234225Z test_type_annotation_py3 (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:28:49.1234345Z test_type_annotations (__main__.TestScript) ... ok (0.026s) 2022-11-23T01:28:49.1234479Z test_type_annotations_repeated_list (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:28:49.1234607Z test_type_annotations_varargs (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:28:49.1234713Z test_type_call_in_script (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1234822Z test_type_cast (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1234948Z test_type_comments_in_body (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1235073Z test_type_inferred_from_empty_annotation (__main__.TestScript) 2022-11-23T01:28:49.1235259Z Test that the type inferred from an empty or missing annotation is Torch.Tensor wtih `inferred=true` ... ok (0.003s) 2022-11-23T01:28:49.1235481Z test_unbind (__main__.TestScript) ... skip: Profiling executor will be using different heuristics for constructing differentiable graphs (0.001s) 2022-11-23T01:28:49.1235601Z test_unfold_zero_dim (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1235721Z test_unicode_comments (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1235825Z test_uninitialized (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1235940Z test_union_to_number (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1236058Z test_unknown_builtin (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1236188Z test_unmatched_type_annotation (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1236322Z test_unspecialized_any_binding (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1236528Z test_unsqueeze_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:28:49.1236662Z test_unsupported_builtin_error (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:28:49.1236780Z test_unused_decorator (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1236897Z test_unwrap_optional_builtin (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:28:49.1237013Z test_var_aug_assign (__main__.TestScript) ... ok (1.020s) 2022-11-23T01:28:49.1237125Z test_vararg_zeros (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:28:49.1237262Z test_view_listconstruct_shape_prop (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1237378Z test_view_shape_prop (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1237489Z test_view_write (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:28:49.1237639Z test_weak_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:28:49.1237731Z test_where (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1237845Z test_where_method (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1237947Z test_while (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1238059Z test_while_nest_if (__main__.TestScript) ... ok (0.042s) 2022-11-23T01:28:49.1238190Z test_while_nonexistent_cond_value (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:28:49.1238318Z test_while_nonexistent_value (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1238444Z test_while_write_outer_then_read (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:28:49.1238565Z test_wrong_attr_lookup (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1238676Z test_wrong_implicit_expand (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:28:49.1238804Z test_wrong_method_call_inputs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1238930Z test_wrong_module_attr_lookup (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1239049Z test_wrong_return_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1239173Z test_wrong_use_as_callable (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:28:49.1239293Z test_wrong_use_as_tuple (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:28:49.1239396Z test_zeros (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:28:49.1239525Z test_zip_enumerate_modulelist (__main__.TestScript) ... ok (0.437s) 2022-11-23T01:28:49.1239628Z test_bool (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1239751Z Test the __bool__ method. This should return True ... ok (0.002s) 2022-11-23T01:28:49.1239870Z test_contains (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1239989Z Test membership checks (x in y, x not in y). ... ok (0.001s) 2022-11-23T01:28:49.1240205Z test_delitem (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1240291Z Test deletion. ... ok (0.001s) 2022-11-23T01:28:49.1240409Z test_getitem (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1240530Z Test accessing dictionary values using the [] operator. ... ok (0.002s) 2022-11-23T01:28:49.1240646Z test_items (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1240726Z Test .items(). ... ok (0.001s) 2022-11-23T01:28:49.1240838Z test_iter (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1241021Z Test iteration over a dictionary's keys. ... ok (0.001s) 2022-11-23T01:28:49.1241133Z test_len (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1241232Z Test len() builtin function. ... ok (0.001s) 2022-11-23T01:28:49.1241333Z test_nested (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1241570Z Test that reference semantics are honoured when the ScriptDict that is ... skip: Cannot pass until all dicts returned from TorchScript are ScriptDicts (0.001s) 2022-11-23T01:28:49.1241704Z test_reference_semantics (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1241855Z Test that reference semantics are honoured; that modifications made ... ok (0.003s) 2022-11-23T01:28:49.1241969Z test_repr (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1242106Z Test the __repr__ method. ... ok (0.001s) 2022-11-23T01:28:49.1242221Z test_setitem (jit.test_list_dict.TestScriptDict) 2022-11-23T01:28:49.1242352Z Test setting dictionary values using the [] operator. ... ok (0.001s) 2022-11-23T01:28:49.1242453Z test_append (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1242543Z Test append method. ... ok (0.001s) 2022-11-23T01:28:49.1242654Z test_bool (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1242777Z Test the __bool__ method. This should return True ... ok (0.001s) 2022-11-23T01:28:49.1242889Z test_clear (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1242968Z Test clear. ... ok (0.001s) 2022-11-23T01:28:49.1243082Z test_contains (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1243187Z Test membership checks (x in y, x not in y). ... ok (0.001s) 2022-11-23T01:28:49.1243347Z test_count (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1243434Z Test count method. ... ok (0.001s) 2022-11-23T01:28:49.1243551Z test_delitem (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1243633Z Test deletion. ... ok (0.001s) 2022-11-23T01:28:49.1243745Z test_extend (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1243824Z Test extend. ... ok (0.002s) 2022-11-23T01:28:49.1243925Z test_getitem (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1244054Z Test accessing list elements using the [] operator. ... ok (0.003s) 2022-11-23T01:28:49.1244164Z test_insert (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1244242Z Test insert. ... ok (0.001s) 2022-11-23T01:28:49.1244352Z test_iter (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1244514Z Test iteration over a list's elements. ... ok (0.001s) 2022-11-23T01:28:49.1244621Z test_len (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1244720Z Test len() builtin function. ... ok (0.001s) 2022-11-23T01:28:49.1244961Z test_nested (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1245205Z Test that reference semantics are honoured when the ScriptList that is ... skip: Cannot pass until all list returned from TorchScript are ScriptLists (0.001s) 2022-11-23T01:28:49.1245319Z test_pop (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1245396Z Test pop. ... ok (0.001s) 2022-11-23T01:28:49.1245527Z test_reference_semantics (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1245680Z Test that reference semantics are honoured; that modifications made ... ok (0.003s) 2022-11-23T01:28:49.1245794Z test_remove (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1245869Z Test remove method. ... ok (0.001s) 2022-11-23T01:28:49.1245981Z test_repr (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1246075Z Test the __repr__ method. ... ok (0.001s) 2022-11-23T01:28:49.1246189Z test_setitem (jit.test_list_dict.TestScriptList) 2022-11-23T01:28:49.1246317Z Test setting list elements using the [] operator. ... ok (0.002s) 2022-11-23T01:28:49.1246592Z test_annotated_class_level_annotation_and_init_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1246848Z test_annotated_class_level_annotation_only (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1247100Z test_annotated_class_level_jit_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1247336Z test_annotated_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.008s) 2022-11-23T01:28:49.1247552Z test_annotated_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1247792Z test_annotated_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1248030Z test_annotated_empty_tensor (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1248329Z test_annotated_falsy_base_type (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:28:49.1248577Z test_annotated_nonempty_container (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:28:49.1248818Z test_annotated_with_jit_attribute (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:28:49.1249057Z test_annotated_with_jit_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:28:49.1249296Z test_annotated_with_jit_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:28:49.1249541Z test_annotated_with_jit_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:28:49.1249842Z test_annotated_with_torch_jit_import (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s) 2022-11-23T01:28:49.1249993Z test_basic (jit.test_script_profile.TestScriptProfile) ... ok (0.068s) 2022-11-23T01:28:49.1250142Z test_empty (jit.test_script_profile.TestScriptProfile) ... ok (0.001s) 2022-11-23T01:28:49.1250288Z test_multi (jit.test_script_profile.TestScriptProfile) ... ok (0.071s) 2022-11-23T01:28:49.1250436Z test_script (jit.test_script_profile.TestScriptProfile) ... ok (0.215s) 2022-11-23T01:28:49.1250583Z test_section (jit.test_script_profile.TestScriptProfile) ... ok (0.243s) 2022-11-23T01:28:49.1250717Z test_module_list_slicing (jit.test_slice.TestSlice) ... ok (0.020s) 2022-11-23T01:28:49.1250847Z test_slice_as_variable (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1250963Z test_slice_dynamic_index (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1251086Z test_slice_kwarg (jit.test_slice.TestSlice) ... ok (0.002s) 2022-11-23T01:28:49.1251210Z test_slice_one_none (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1251340Z test_slice_start_stop (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1251474Z test_slice_start_stop_step (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1251613Z test_slice_start_stop_with_none (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1251747Z test_slice_stop_clipped (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1251872Z test_slice_stop_only (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1251996Z test_slice_stop_only_with_nones (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1252117Z test_slice_string (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1252240Z test_slice_tensor (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:28:49.1252373Z test_slice_tensor_multidim (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1252518Z test_slice_tensor_multidim_with_dots (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1252645Z test_slice_three_nones (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1252767Z test_slice_two_nones (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:28:49.1252891Z test_tuple_slicing (jit.test_slice.TestSlice) ... ok (0.006s) 2022-11-23T01:28:49.1253013Z test_freeze_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.007s) 2022-11-23T01:28:49.1253147Z test_freeze_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.008s) 2022-11-23T01:28:49.1253281Z test_serialize_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.006s) 2022-11-23T01:28:49.1253416Z test_serialize_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.007s) 2022-11-23T01:28:49.1253586Z test_modulo_operator (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1253801Z test_string_interpolation_with_alternate_digit_placeholder (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1254072Z test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1254293Z test_string_interpolation_with_char_placeholder_and_char_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1254510Z test_string_interpolation_with_char_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1254726Z test_string_interpolation_with_char_placeholder_and_true_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:28:49.1254948Z test_string_interpolation_with_digit_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1255168Z test_string_interpolation_with_digit_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s) 2022-11-23T01:28:49.1255403Z test_string_interpolation_with_double_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1255628Z test_string_interpolation_with_exponent_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s) 2022-11-23T01:28:49.1255846Z test_string_interpolation_with_float_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1256058Z test_string_interpolation_with_float_placeholder_and_float_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1256301Z test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1256505Z test_string_interpolation_with_multiple_placeholders (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s) 2022-11-23T01:28:49.1256705Z test_string_interpolation_with_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s) 2022-11-23T01:28:49.1256914Z test_string_interpolation_with_string_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1257142Z test_string_interpolation_with_string_placeholder_and_format_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1257364Z test_string_interpolation_with_string_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:28:49.1257553Z test_string_interpolation_with_subscript (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s) 2022-11-23T01:28:49.1257750Z test_string_interpolation_with_too_few_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s) 2022-11-23T01:28:49.1257945Z test_string_interpolation_with_too_many_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:28:49.1258154Z test_string_interpolation_with_unknown_format_specifier (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s) 2022-11-23T01:28:49.1258345Z test_adaptive_avg_pool2d (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.024s) 2022-11-23T01:28:49.1258527Z test_arange_shape (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.018s) 2022-11-23T01:28:49.1258721Z test_binary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s) 2022-11-23T01:28:49.1258900Z test_binary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.004s) 2022-11-23T01:28:49.1259089Z test_convolution_backward (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.014s) 2022-11-23T01:28:49.1259274Z test_if_propagation (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.004s) 2022-11-23T01:28:49.1259469Z test_partial_eval_graph_conv (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.012s) 2022-11-23T01:28:49.1259693Z test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.034s) 2022-11-23T01:28:49.1259903Z test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.021s) 2022-11-23T01:28:49.1260105Z test_register_function_error_checking (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.012s) 2022-11-23T01:28:49.1260307Z test_returning_input_symbolic_shapes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.009s) 2022-11-23T01:28:49.1260493Z test_shape_analysis (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.006s) 2022-11-23T01:28:49.1260660Z test_shape_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.086s) 2022-11-23T01:28:49.1260850Z test_shape_embedding_bag (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.015s) 2022-11-23T01:28:49.1261139Z test_shape_function_includes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... skip: shape functions not loaded in python (0.001s) 2022-11-23T01:28:49.1261326Z test_shared_shape_graph (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s) 2022-11-23T01:28:49.1261506Z test_size_and_sizes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s) 2022-11-23T01:28:49.1261691Z test_stitching_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.021s) 2022-11-23T01:28:49.1261882Z test_stitching_multi_output (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.016s) 2022-11-23T01:28:49.1262062Z test_sym_ir_parsing (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s) 2022-11-23T01:28:49.1262254Z test_unary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.002s) 2022-11-23T01:28:49.1262439Z test_unary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.002s) 2022-11-23T01:28:49.1262613Z test_write (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.003s) 2022-11-23T01:28:49.1262764Z test_method_on_number (jit.test_builtins.TestTensorBuiltins) ... ok (0.002s) 2022-11-23T01:28:49.1262927Z test_scalar_to_num_conversions (jit.test_builtins.TestTensorBuiltins) ... ok (0.010s) 2022-11-23T01:28:49.1263072Z test_tensor_item (jit.test_builtins.TestTensorBuiltins) ... ok (0.005s) 2022-11-23T01:28:49.1263226Z test_tensor_properties (jit.test_builtins.TestTensorBuiltins) ... ok (0.013s) 2022-11-23T01:28:49.1263386Z test_tensor_subscript_assign (jit.test_builtins.TestTensorBuiltins) ... ok (0.029s) 2022-11-23T01:28:49.1263573Z test_tensor_subscript_assign_device (jit.test_builtins.TestTensorBuiltins) ... skip: requires CUDA (0.000s) 2022-11-23T01:28:49.1263736Z test_randperm_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:28:49.1263915Z test_randperm_specifed_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:28:49.1264094Z test_tril_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:28:49.1264276Z test_tril_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:28:49.1264452Z test_triu_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:28:49.1264632Z test_triu_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:28:49.1264776Z test_getitem (jit.test_tensor_methods.TestTensorMethods) ... ok (0.005s) 2022-11-23T01:28:49.1264931Z test_getitem_invalid (jit.test_tensor_methods.TestTensorMethods) ... ok (0.001s) 2022-11-23T01:28:49.1265069Z test_default_args (jit.test_torchbind.TestTorchbind) ... ok (0.009s) 2022-11-23T01:28:49.1265208Z test_lambda_as_constructor (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1265609Z test_profiler_custom_op (jit.test_torchbind.TestTorchbind) ... STAGE:2022-11-23 01:28:45 11102:11102 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:28:49.1265867Z STAGE:2022-11-23 01:28:45 11102:11102 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:28:49.1266126Z STAGE:2022-11-23 01:28:45 11102:11102 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:28:49.1266192Z ok (0.001s) 2022-11-23T01:28:49.1266333Z test_staticmethod (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1266472Z test_torchbind (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-11-23T01:28:49.1266626Z test_torchbind_attr_exception (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1266772Z test_torchbind_class_attr_recursive (jit.test_torchbind.TestTorchbind) ... ok (0.003s) 2022-11-23T01:28:49.1266960Z test_torchbind_class_attribute (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-11-23T01:28:49.1267111Z test_torchbind_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.003s) 2022-11-23T01:28:49.1267278Z test_torchbind_def_property_getter_setter (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-11-23T01:28:49.1267441Z test_torchbind_def_property_just_getter (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:28:49.1267603Z test_torchbind_def_property_readwrite (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:28:49.1267748Z test_torchbind_getattr (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1267893Z test_torchbind_getstate (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-11-23T01:28:49.1268061Z test_torchbind_instantiate_missing_class (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1268199Z test_torchbind_lambda_method (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1268343Z test_torchbind_no_init (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1268506Z test_torchbind_optional_explicit_attr (jit.test_torchbind.TestTorchbind) ... ok (0.003s) 2022-11-23T01:28:49.1268661Z test_torchbind_pass_wrong_type (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1268821Z test_torchbind_pickle_serialization (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1268976Z test_torchbind_python_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1269125Z test_torchbind_return_instance (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1269292Z test_torchbind_return_instance_from_method (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1269430Z test_torchbind_return_tuple (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1269577Z test_torchbind_save_load (jit.test_torchbind.TestTorchbind) ... ok (0.003s) 2022-11-23T01:28:49.1269732Z test_torchbind_take_as_arg (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:28:49.1269900Z test_torchbind_take_instance_as_method_arg (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:28:49.1270042Z test_torchbind_tracing (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-11-23T01:28:49.1270196Z test_torchbind_tracing_nested (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-11-23T01:28:49.1270346Z test_call_traced_fn_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-11-23T01:28:49.1270499Z test_call_traced_module_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.019s) 2022-11-23T01:28:49.1270634Z test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-11-23T01:28:49.1270757Z test_constant (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1270872Z test_conv (jit.test_tracer.TestTracer) ... ok (0.027s) 2022-11-23T01:28:49.1271006Z test_export_no_reorder (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-11-23T01:28:49.1271145Z test_force_outplace_check_fill (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1271313Z test_force_outplace_check_zero (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1271427Z test_ge (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-11-23T01:28:49.1271566Z test_ge_cuda (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.000s) 2022-11-23T01:28:49.1271680Z test_ge_optimized (jit.test_tracer.TestTracer) ... ok (0.184s) 2022-11-23T01:28:49.1271808Z test_ge_unoptimized (jit.test_tracer.TestTracer) ... ok (0.041s) 2022-11-23T01:28:49.1271935Z test_index_put (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1272075Z test_index_put_trace_with_view (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1272218Z test_index_put_trace_without_view (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1272345Z test_inplace_check (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:28:49.1272499Z test_inplace_copy (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1272645Z test_inplace_copy_force_outplace (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1272757Z test_inplace_flags (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:28:49.1272892Z test_inplace_transplant (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1273017Z test_inplace_warn (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1273157Z test_input_dict_checkTrace_mut (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1273286Z test_input_dict_empty (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:28:49.1273420Z test_input_dict_empty_list (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:28:49.1273551Z test_input_dict_insertion_order (jit.test_tracer.TestTracer) 2022-11-23T01:28:49.1273761Z Check that dictionary access doesn't care about insertion order ... ok (0.009s) 2022-11-23T01:28:49.1273883Z test_input_dict_of_dicts (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1274017Z test_input_dict_of_lists (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1274152Z test_input_dict_recursive (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1274282Z test_input_dict_remembers_keys (jit.test_tracer.TestTracer) 2022-11-23T01:28:49.1274423Z Check that the trace remembers which keys were in a dict input ... ok (0.011s) 2022-11-23T01:28:49.1274553Z test_input_dict_unify (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1274667Z test_input_flatten (jit.test_tracer.TestTracer) 2022-11-23T01:28:49.1274784Z Check that inputs to traced functions are flattened ... ok (0.013s) 2022-11-23T01:28:49.1274918Z test_input_list_mixed_type (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:28:49.1275052Z test_input_list_of_tuples (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1275196Z test_input_list_toplevel_flatten (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1275349Z test_input_list_toplevel_flatten_direct (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1275483Z test_input_tuple_of_dicts (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1275615Z test_interpolate_trace (jit.test_tracer.TestTracer) ... ok (0.025s) 2022-11-23T01:28:49.1275769Z test_large_nbr_kernel_args (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.001s) 2022-11-23T01:28:49.1275884Z test_lhs_index_fails (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:28:49.1276014Z test_lhs_index_trivial (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1276137Z test_max_pool (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-11-23T01:28:49.1276265Z test_nested_inplace (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1276397Z test_non_tensor_tracing (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:28:49.1276517Z test_output_unflatten (jit.test_tracer.TestTracer) 2022-11-23T01:28:49.1276729Z Check that outputs of traced functions retain the original structure and nesting ... expected failure (0.009s) 2022-11-23T01:28:49.1276858Z test_python_function (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:28:49.1276980Z test_python_function_tup (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1277107Z test_repeated_input (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1277238Z test_repeated_output (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1277364Z test_shared_param (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:28:49.1277486Z test_simple (jit.test_tracer.TestTracer) ... ok (0.017s) 2022-11-23T01:28:49.1277629Z test_tensor_with_grad_as_constant (jit.test_tracer.TestTracer) ... ok (0.001s) 2022-11-23T01:28:49.1277769Z test_trace_aliased_parameter (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1277929Z test_trace_annotation (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1278039Z test_trace_arange (jit.test_tracer.TestTracer) ... ok (0.018s) 2022-11-23T01:28:49.1278178Z test_trace_arange_with_grad (jit.test_tracer.TestTracer) ... ok (0.018s) 2022-11-23T01:28:49.1278316Z test_trace_autograd_function (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1278501Z test_trace_c10_ops (jit.test_tracer.TestTracer) ... skip: Skip the test since c2 ops are not registered. (0.003s) 2022-11-23T01:28:49.1278625Z test_trace_casts (jit.test_tracer.TestTracer) ... ok (0.037s) 2022-11-23T01:28:49.1278767Z test_trace_checker_control_flow (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1278903Z test_trace_checker_dot_data (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1279050Z test_trace_checker_dropout_notrain (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1279181Z test_trace_checker_dropout_train (jit.test_tracer.TestTracer) ... ok (0.018s) 2022-11-23T01:28:49.1279328Z test_trace_checker_inplace_on_view (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1279472Z test_trace_checker_memoization (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1279609Z test_trace_checker_slice_lhs (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-11-23T01:28:49.1279760Z test_trace_checking_with_global_name (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1280434Z test_trace_contiguous (jit.test_tracer.TestTracer) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:28:49.1280537Z warnings.warn(message, UserWarning) 2022-11-23T01:28:49.1280604Z ok (0.008s) 2022-11-23T01:28:49.1280752Z test_trace_contiguous_short_circuit (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:28:49.1280866Z test_trace_detach (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1281005Z test_trace_detach_inplace (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1281159Z test_trace_detach_inplace_redispatch (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:28:49.1281298Z test_trace_detach_redispatch (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:28:49.1281432Z test_trace_dict_input (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:28:49.1281564Z test_trace_dict_output (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-11-23T01:28:49.1281729Z test_trace_export_fns (jit.test_tracer.TestTracer) ... ok (0.019s) 2022-11-23T01:28:49.1281873Z test_trace_export_fns_recursive (jit.test_tracer.TestTracer) ... ok (0.043s) 2022-11-23T01:28:49.1282000Z test_trace_fork_join_and_module (jit.test_tracer.TestTracer) ... ok (0.031s) 2022-11-23T01:28:49.1282142Z test_trace_full_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1282297Z test_trace_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1282460Z test_trace_index (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1282597Z test_trace_index_constant (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1282738Z test_trace_indexed_assignment (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1282869Z test_trace_inline_shape (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-11-23T01:28:49.1282994Z test_trace_inverse (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:28:49.1283128Z test_trace_invert_module_hierarchy (jit.test_tracer.TestTracer) ... ok (0.019s) 2022-11-23T01:28:49.1283258Z test_trace_legacy_ctor (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-11-23T01:28:49.1283412Z test_trace_module_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.032s) 2022-11-23T01:28:49.1283545Z test_trace_modulelist (jit.test_tracer.TestTracer) ... ok (0.024s) 2022-11-23T01:28:49.1283775Z test_trace_multi_output_function (jit.test_tracer.TestTracer) ... graph(%self : __torch__.jit.test_tracer.Bar, 2022-11-23T01:28:49.1283898Z %x.1 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu), 2022-11-23T01:28:49.1284021Z %y.1 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu)): 2022-11-23T01:28:49.1284250Z %x : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%x.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0 2022-11-23T01:28:49.1284452Z %y : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%y.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0 2022-11-23T01:28:49.1284734Z %9 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = ^Foo[inplace=0, module="jit.test_tracer", Subgraph=]()(%x, %y) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1430:0 2022-11-23T01:28:49.1285058Z %10 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), %11 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = prim::TupleUnpack(%9) 2022-11-23T01:28:49.1285274Z %12 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = prim::TupleConstruct(%10, %11) 2022-11-23T01:28:49.1285348Z return (%12) 2022-11-23T01:28:49.1285361Z 2022-11-23T01:28:49.1285431Z ok (0.007s) 2022-11-23T01:28:49.1285569Z test_trace_namedtuple (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1285710Z test_trace_nested_datatypes (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1285841Z test_trace_nested_fn (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-11-23T01:28:49.1285966Z test_trace_numel (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:28:49.1286103Z test_trace_optioanl_dtype (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1286219Z test_trace_optional (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-11-23T01:28:49.1286385Z test_trace_partial_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1286515Z test_trace_random (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:28:49.1286650Z test_trace_records_names (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1286774Z test_trace_save (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1286909Z test_trace_save_load_copy (jit.test_tracer.TestTracer) ... ok (0.028s) 2022-11-23T01:28:49.1287042Z test_trace_single_tuple (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:28:49.1287152Z test_trace_size (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1287285Z test_trace_size_with_grad (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1287428Z test_trace_skip_none_submodule (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1287549Z test_trace_slice (jit.test_tracer.TestTracer) ... ok (0.043s) 2022-11-23T01:28:49.1287700Z test_trace_slice_expr_complete_type (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1287887Z test_trace_slice_full_dim (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1288041Z test_trace_slice_setitem_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1288176Z test_trace_slice_with_grad (jit.test_tracer.TestTracer) ... ok (0.045s) 2022-11-23T01:28:49.1288297Z test_trace_tensor_factory (jit.test_tracer.TestTracer) ... ok (0.037s) 2022-11-23T01:28:49.1288421Z test_trace_topk (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:28:49.1288548Z test_trace_tuple (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:28:49.1288699Z test_trace_variable_instantiation (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:28:49.1288824Z test_trace_warn (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:28:49.1288977Z test_trace_with_conditional_property (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1289173Z test_trace_with_nested_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:28:49.1289320Z test_trace_with_number_list_output (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:28:49.1289450Z test_trace_with_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-11-23T01:28:49.1289601Z test_traced_module_cuda (jit.test_tracer.TestTracer) ... skip: calls .cuda() (0.002s) 2022-11-23T01:28:49.1289747Z test_tracing_backward_hook_error (jit.test_tracer.TestTracer) ... ok (0.001s) 2022-11-23T01:28:49.1289873Z test_tracing_hooks (jit.test_tracer.TestTracer) ... ok (0.041s) 2022-11-23T01:28:49.1290014Z test_tracing_multiple_methods (jit.test_tracer.TestTracer) ... ok (0.134s) 2022-11-23T01:28:49.1290147Z test_typeas_trace_check (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:28:49.1290276Z test_wrapped_number (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:28:49.1290415Z test_assign_python_attr (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1290640Z Assigning a new (python-only) attribute should not change type sharing ... ok (0.033s) 2022-11-23T01:28:49.1290782Z test_basic (jit.test_type_sharing.TestTypeSharing) ... ok (0.006s) 2022-11-23T01:28:49.1290947Z test_builtin_function_different (jit.test_type_sharing.TestTypeSharing) ... ok (0.007s) 2022-11-23T01:28:49.1291102Z test_builtin_function_same (jit.test_type_sharing.TestTypeSharing) ... ok (0.005s) 2022-11-23T01:28:49.1291232Z test_constants (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1291419Z Types should be shared for identical constant values, and different for different constant values ... ok (0.011s) 2022-11-23T01:28:49.1291555Z test_diff_attr_values (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1291686Z Types should be shared even if attribute values differ ... ok (0.006s) 2022-11-23T01:28:49.1291826Z test_failed_attribute_compilation (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1291987Z Attributes whose type cannot be inferred should fail cleanly with nice hints ... ok (0.003s) 2022-11-23T01:28:49.1292135Z test_ignored_fns (jit.test_type_sharing.TestTypeSharing) ... ok (0.006s) 2022-11-23T01:28:49.1292258Z test_linear (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1292374Z Simple example with a real nn Module ... ok (0.011s) 2022-11-23T01:28:49.1292527Z test_loaded_modules_work (jit.test_type_sharing.TestTypeSharing) ... ok (0.016s) 2022-11-23T01:28:49.1292685Z test_module_dict_same_type_different_name (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1292832Z We should be able to differentiate between two ModuleDict instances ... ok (0.031s) 2022-11-23T01:28:49.1292955Z test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1293102Z Mutating the value of an attribute should not change type sharing ... ok (0.018s) 2022-11-23T01:28:49.1293242Z test_param_vs_attribute (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1293462Z The same module with an `foo` as a parameter vs. attribute shouldn't ... ok (0.007s) 2022-11-23T01:28:49.1293650Z test_python_function_attribute_different (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1293794Z Different functions passed in should lead to different types ... ok (0.010s) 2022-11-23T01:28:49.1293945Z test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1294070Z Same functions passed in should lead to same types ... ok (0.007s) 2022-11-23T01:28:49.1294203Z test_same_but_different_classes (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1294354Z Even if everything about the module is the same, different originating ... ok (0.022s) 2022-11-23T01:28:49.1294517Z test_script_function_attribute_different (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1294658Z Different functions passed in should lead to different types ... ok (0.011s) 2022-11-23T01:28:49.1294810Z test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1294971Z Same functions passed in should lead to same types ... ok (0.007s) 2022-11-23T01:28:49.1295150Z test_script_module_containing_traced_module (jit.test_type_sharing.TestTypeSharing) ... ok (0.021s) 2022-11-23T01:28:49.1295278Z test_submodules (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1295391Z If submodules differ, the types should differ. ... ok (0.044s) 2022-11-23T01:28:49.1295541Z test_tracing_gives_different_types (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1295783Z Since we can't guarantee that methods are the same between different ... ok (0.012s) 2022-11-23T01:28:49.1295938Z test_type_not_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1296070Z Test that types are not shared if the exclusion of their ... ok (0.007s) 2022-11-23T01:28:49.1296224Z test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1296356Z Test that types are shared if the exclusion of their ... ok (0.006s) 2022-11-23T01:28:49.1296501Z test_type_sharing_define_in_init (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1296623Z Tests that types between instances of a ScriptModule ... ok (0.006s) 2022-11-23T01:28:49.1296761Z test_type_sharing_disabled (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:28:49.1296878Z Test that type sharing can be disabled. ... ok (0.019s) 2022-11-23T01:28:49.1297039Z test_annotate_outside_init (jit.test_types.TestTypesAndAnnotation) ... ok (0.016s) 2022-11-23T01:28:49.1297186Z test_bad_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s) 2022-11-23T01:28:49.1297341Z test_ignore_with_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.005s) 2022-11-23T01:28:49.1297494Z test_ignoring_module_attributes (jit.test_types.TestTypesAndAnnotation) 2022-11-23T01:28:49.1297614Z Test that module attributes can be ignored. ... ok (0.007s) 2022-11-23T01:28:49.1297771Z test_inferred_type_error_message (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s) 2022-11-23T01:28:49.1297966Z test_mismatched_annotation (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s) 2022-11-23T01:28:49.1298132Z test_optional_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation) 2022-11-23T01:28:49.1298282Z Test that using an optional with no contained types produces an error. ... ok (0.003s) 2022-11-23T01:28:49.1298428Z test_parser_bug (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s) 2022-11-23T01:28:49.1298575Z test_pep585_type (jit.test_types.TestTypesAndAnnotation) ... ok (0.008s) 2022-11-23T01:28:49.1298728Z test_python_callable (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s) 2022-11-23T01:28:49.1298873Z test_reannotate (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s) 2022-11-23T01:28:49.1299019Z test_tuple_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation) 2022-11-23T01:28:49.1299164Z Test that using a tuple with no contained types produces an error. ... ok (0.003s) 2022-11-23T01:28:49.1299320Z test_type_annotate_py3 (jit.test_types.TestTypesAndAnnotation) ... ok (0.011s) 2022-11-23T01:28:49.1299497Z test_types_as_values (jit.test_types.TestTypesAndAnnotation) ... ok (0.011s) 2022-11-23T01:28:49.1299666Z test_unimported_type_resolution (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s) 2022-11-23T01:28:49.1299790Z test_bool_list_io (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:28:49.1299926Z test_dict_comprehension (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:28:49.1300068Z test_dict_comprehension_scope (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:28:49.1300215Z test_dict_comprehension_with_type_annotation (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:28:49.1300341Z test_dict_in_not_in (jit.test_typing.TestTyping) ... ok (0.022s) 2022-11-23T01:28:49.1300481Z test_dict_invalid_annotations (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:28:49.1300942Z test_dict_type_refinement_annotation_key_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:28:49.1301077Z File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 90 2022-11-23T01:28:49.1301144Z def fn(): 2022-11-23T01:28:49.1301221Z l1 = [1, 2, "foo", 3] 2022-11-23T01:28:49.1301346Z ~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:28:49.1301436Z l2 = ["foo", "bar", "baz", "qux"] 2022-11-23T01:28:49.1301537Z d: Dict[int, str] = {k : v for k, v in zip(l1, l2)} 2022-11-23T01:28:49.1301623Z (function emitListLiteral) 2022-11-23T01:28:49.1301689Z ok (0.002s) 2022-11-23T01:28:49.1302118Z test_dict_type_refinement_annotation_value_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:28:49.1302255Z File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 104 2022-11-23T01:28:49.1302323Z def fn(): 2022-11-23T01:28:49.1302412Z l1 = ["foo", "bar", "baz", "qux"] 2022-11-23T01:28:49.1302487Z l2 = [1, 2, "foo", 3] 2022-11-23T01:28:49.1302597Z ~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:28:49.1302709Z d: Dict[str, int] = {k : v for k, v in zip(l1, l2)} 2022-11-23T01:28:49.1302778Z return d 2022-11-23T01:28:49.1302863Z (function emitListLiteral) 2022-11-23T01:28:49.1302928Z ok (0.002s) 2022-11-23T01:28:49.1303053Z test_for_in_dict (jit.test_typing.TestTyping) ... ok (0.010s) 2022-11-23T01:28:49.1303180Z test_for_in_string (jit.test_typing.TestTyping) ... ok (0.015s) 2022-11-23T01:28:49.1303302Z test_for_tuple_assign (jit.test_typing.TestTyping) ... ok (0.009s) 2022-11-23T01:28:49.1303431Z test_for_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.016s) 2022-11-23T01:28:49.1303553Z test_list_io (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:28:49.1303683Z test_list_iterables (jit.test_typing.TestTyping) ... ok (0.001s) 2022-11-23T01:28:49.1303804Z test_list_sum (jit.test_typing.TestTyping) ... ok (0.011s) 2022-11-23T01:28:49.1303976Z test_list_type_refinement_annotation_element_mismatch (jit.test_typing.TestTyping) ... ok (0.001s) 2022-11-23T01:28:49.1304108Z test_list_unification (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:28:49.1304238Z test_multiple_assign (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:28:49.1304363Z test_namedtuple_good_error (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:28:49.1304490Z test_namedtuple_py2 (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:28:49.1304631Z test_namedtuple_redefine (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:28:49.1304785Z test_nested_list (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:28:49.1304923Z test_opt_opt_refinement (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:28:49.1305057Z test_optional_conversion (jit.test_typing.TestTyping) ... ok (0.012s) 2022-11-23T01:28:49.1305191Z test_optional_refinement (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:28:49.1305318Z test_optional_tuple (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:28:49.1305446Z test_singleton_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.004s) 2022-11-23T01:28:49.1305575Z test_sum_list_diff_elms (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:28:49.1305700Z test_sum_list_empty (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:28:49.1305830Z test_sum_list_literal (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:28:49.1305983Z test_sum_list_one (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:28:49.1306116Z test_sum_list_wrong_type (jit.test_typing.TestTyping) ... ok (0.001s) 2022-11-23T01:28:49.1306255Z test_tuple_assignments (jit.test_typing.TestTyping) ... ok (0.021s) 2022-11-23T01:28:49.1306387Z test_tuple_create_return (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:28:49.1306496Z test_tuple_io (jit.test_typing.TestTyping) ... ok (0.004s) 2022-11-23T01:28:49.1306624Z test_tuple_keyword (jit.test_typing.TestTyping) ... ok (0.004s) 2022-11-23T01:28:49.1306761Z test_tuple_specialization (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:28:49.1306896Z test_check_union_annotation (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:28:49.1307048Z test_union_T_None_is_equivalent_to_optional_T (jit.test_union.TestUnion) ... ok (0.010s) 2022-11-23T01:28:49.1307193Z test_union_argument_order_is_ignored (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:28:49.1307352Z test_union_argument_order_is_ignored_container (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:28:49.1307482Z test_union_as_annotation (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1307623Z test_union_as_annotation_in_typed_container (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:28:49.1307758Z test_union_as_annotation_py2 (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1307883Z test_union_as_dict_key (jit.test_union.TestUnion) ... ok (0.008s) 2022-11-23T01:28:49.1308010Z test_union_as_dict_value (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:28:49.1308148Z test_union_as_internal_tuple_type (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1308318Z test_union_branching_does_not_autoinfer_undeclared_union (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1308489Z test_union_branching_does_not_widen_existing_inferred_type (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1308663Z test_union_branching_with_union_return_and_homogenous_types (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:28:49.1308816Z test_union_does_not_replace_existing_annotated_type (jit.test_union.TestUnion) ... ok (0.001s) 2022-11-23T01:28:49.1308999Z test_union_does_not_replace_existing_annotated_type_empty_container (jit.test_union.TestUnion) ... ok (0.001s) 2022-11-23T01:28:49.1309168Z test_union_does_not_replace_existing_annotated_type_union (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1309306Z test_union_in_class_constructor (jit.test_union.TestUnion) ... ok (0.010s) 2022-11-23T01:28:49.1309912Z test_union_memory_aliasing (jit.test_union.TestUnion) ... /opt/conda/lib/python3.10/site-packages/torch/_jit_internal.py:1282: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-11-23T01:28:49.1309987Z warnings.warn( 2022-11-23T01:28:49.1310055Z ok (0.010s) 2022-11-23T01:28:49.1310206Z test_union_module_with_union_class_variable (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:28:49.1310392Z test_union_module_with_union_instance_variable (jit.test_union.TestUnion) ... ok (0.011s) 2022-11-23T01:28:49.1310530Z test_union_optional_of_union_is_flattened (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:28:49.1310685Z test_union_redundant_arguments_are_skipped (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1310850Z test_union_redundant_arguments_are_skipped_container (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1311013Z test_union_redundant_arguments_are_skipped_optional (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1311176Z test_union_redundant_arguments_are_skipped_subtyping (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1311305Z test_union_return_type (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1311457Z test_union_schema_matching_on_internal_type (jit.test_union.TestUnion) ... ok (0.009s) 2022-11-23T01:28:49.1311649Z test_union_serialization_preserves_type_annotations (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:28:49.1311781Z test_union_subclasses_larger_union (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1311926Z test_union_subtractive_refinement (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:28:49.1312082Z test_union_subtractive_refinement_with_container (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:28:49.1312215Z test_union_type_refinement (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:28:49.1312373Z test_union_type_refinement_internal_declaration (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:28:49.1312547Z test_union_type_refinement_partial_static_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:28:49.1312720Z test_union_type_refinement_partial_static_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:28:49.1312873Z test_union_type_refinement_statically_false (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1313026Z test_union_type_refinement_statically_true (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1313156Z test_union_type_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.011s) 2022-11-23T01:28:49.1313322Z test_union_type_refinement_tuple_rhs_noncontained_type (jit.test_union.TestUnion) ... ok (0.008s) 2022-11-23T01:28:49.1313472Z test_union_type_refinement_tuple_rhs_union (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:28:49.1313615Z test_union_type_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:28:49.1313764Z test_union_variable_can_be_reassigned (jit.test_union.TestUnion) ... ok (0.008s) 2022-11-23T01:28:49.1313897Z test_union_with_collections (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:28:49.1314034Z test_union_with_dict_assignment (jit.test_union.TestUnion) ... ok (0.028s) 2022-11-23T01:28:49.1314161Z test_union_with_enum (jit.test_union.TestUnion) ... ok (0.013s) 2022-11-23T01:28:49.1314550Z test_union_with_list_assignment (jit.test_union.TestUnion) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:28:49.1314629Z File "", line 3 2022-11-23T01:28:49.1314638Z 2022-11-23T01:28:49.1314703Z def fn(): 2022-11-23T01:28:49.1314856Z x: Union[List[str], List[torch.Tensor]] = [torch.add(1, x) for x in [torch.arange(5), 1]] 2022-11-23T01:28:49.1315046Z ~~~~~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:28:49.1315164Z if torch.jit.isinstance(x, List[torch.Tensor]): 2022-11-23T01:28:49.1315253Z x.append(torch.tensor(3)) 2022-11-23T01:28:49.1315343Z (function emitListLiteral) 2022-11-23T01:28:49.1315717Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:28:49.1315784Z File "", line 3 2022-11-23T01:28:49.1315801Z 2022-11-23T01:28:49.1315852Z def fn(): 2022-11-23T01:28:49.1315999Z x: Union[List[torch.Tensor], int] = [torch.add(1, x) for x in [torch.arange(5), 1]] 2022-11-23T01:28:49.1316179Z ~~~~~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:28:49.1316295Z if torch.jit.isinstance(x, List[torch.Tensor]): 2022-11-23T01:28:49.1316382Z x.append(torch.tensor(3)) 2022-11-23T01:28:49.1316469Z (function emitListLiteral) 2022-11-23T01:28:49.1316534Z ok (0.022s) 2022-11-23T01:28:49.1316660Z test_union_with_scalar_values (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:28:49.1316835Z test_unions_of_a_single_argument_vanish (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1316980Z test_unions_of_unions_are_flattened (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:28:49.1317155Z test_factory_ops_requires_grad_fail (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.003s) 2022-11-23T01:28:49.1317343Z test_init_ops (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.019s) 2022-11-23T01:28:49.1317498Z test_add_value_to_version_map (jit.test_upgraders.TestUpgraders) ... ok (0.001s) 2022-11-23T01:28:49.1317646Z test_aten_div_scalar_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.004s) 2022-11-23T01:28:49.1317791Z test_aten_div_tensor_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.004s) 2022-11-23T01:28:49.1317928Z test_aten_div_tensor_out_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.004s) 2022-11-23T01:28:49.1318065Z test_aten_full_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.004s) 2022-11-23T01:28:49.1318219Z test_aten_full_other_variants (jit.test_upgraders.TestUpgraders) ... ok (0.005s) 2022-11-23T01:28:49.1318363Z test_aten_full_out_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:28:49.1318505Z test_aten_linspace (jit.test_upgraders.TestUpgraders) ... ok (0.002s) 2022-11-23T01:28:49.1318651Z test_aten_linspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:28:49.1318791Z test_aten_logspace (jit.test_upgraders.TestUpgraders) ... ok (0.002s) 2022-11-23T01:28:49.1318936Z test_aten_logspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:28:49.1319075Z test_aten_test_serialization (jit.test_upgraders.TestUpgraders) ... ok (0.006s) 2022-11-23T01:28:49.1319238Z test_populated_test_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:28:49.1319396Z test_populated_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:28:49.1319512Z test_warn (jit.test_warn.TestWarn) ... ok (0.003s) 2022-11-23T01:28:49.1319663Z test_warn_multiple_calls_multiple_warnings (jit.test_warn.TestWarn) ... ok (0.003s) 2022-11-23T01:28:49.1319817Z test_warn_multiple_calls_same_func_diff_stack (jit.test_warn.TestWarn) ... ok (0.007s) 2022-11-23T01:28:49.1319943Z test_warn_once_per_func (jit.test_warn.TestWarn) ... ok (0.006s) 2022-11-23T01:28:49.1320165Z test_warn_once_per_func_in_loop (jit.test_warn.TestWarn) ... ok (0.007s) 2022-11-23T01:28:49.1320273Z test_warn_only_once (jit.test_warn.TestWarn) ... ok (0.003s) 2022-11-23T01:28:49.1320406Z test_warn_only_once_in_loop_func (jit.test_warn.TestWarn) ... ok (0.005s) 2022-11-23T01:28:49.1320502Z test_with_as (jit.test_with.TestWith) 2022-11-23T01:28:49.1320731Z Check that with statements that use the 'as' keyword to bind expressions ... ok (0.068s) 2022-11-23T01:28:49.1320838Z test_with_errors (jit.test_with.TestWith) 2022-11-23T01:28:49.1321088Z Check that errors related to with-statements are detected and reported correctly. ... ok (0.029s) 2022-11-23T01:28:49.1321202Z test_with_exceptions (jit.test_with.TestWith) 2022-11-23T01:28:49.1321452Z Check that exceptions thrown in the bodies of with-statements are ... ok (0.026s) 2022-11-23T01:28:49.1321542Z test_with_no_as (jit.test_with.TestWith) 2022-11-23T01:28:49.1321776Z Check that with statements that do not use the 'as' keyword to bind expressions ... ok (0.071s) 2022-11-23T01:28:49.1321879Z test_with_no_grad (jit.test_with.TestWith) 2022-11-23T01:28:49.1322022Z Check that torch.no_grad() works. Most of these are adapted from ... ok (0.019s) 2022-11-23T01:28:49.1322135Z test_with_record_function (jit.test_with.TestWith) 2022-11-23T01:28:49.1322514Z Check that torch.autograd.profiler.record_function context manager is ... STAGE:2022-11-23 01:28:48 11102:11102 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:28:49.1322768Z STAGE:2022-11-23 01:28:48 11102:11102 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:28:49.1323076Z STAGE:2022-11-23 01:28:48 11102:11102 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:28:49.1323130Z ok (0.026s) 2022-11-23T01:28:49.1323138Z 2022-11-23T01:28:49.1323335Z ---------------------------------------------------------------------- 2022-11-23T01:28:49.1323415Z Ran 2542 tests in 132.906s 2022-11-23T01:28:49.1323420Z 2022-11-23T01:28:49.1323515Z OK (skipped=115, expected failures=2) 2022-11-23T01:28:49.1323520Z 2022-11-23T01:28:49.1323603Z Generating XML reports... 2022-11-23T01:28:49.1323933Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_alias_analysis.TestAliasAnalysis-20221123012635.xml 2022-11-23T01:28:49.1324214Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_async.TestAsync-20221123012635.xml 2022-11-23T01:28:49.1324500Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_aten_pow.TestAtenPow-20221123012635.xml 2022-11-23T01:28:49.1324922Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff.TestAutodiffJit-20221123012635.xml 2022-11-23T01:28:49.1325291Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing-20221123012635.xml 2022-11-23T01:28:49.1325588Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackends-20221123012635.xml 2022-11-23T01:28:49.1325920Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackendsWithCompiler-20221123012635.xml 2022-11-23T01:28:49.1326204Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_batch_mm.TestBatchMM-20221123012635.xml 2022-11-23T01:28:49.1326498Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestBuiltins-20221123012635.xml 2022-11-23T01:28:49.1326793Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_class_type.TestClassType-20221123012635.xml 2022-11-23T01:28:49.1327084Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_complex.TestComplex-20221123012635.xml 2022-11-23T01:28:49.1327416Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_custom_operators.TestCustomOperators-20221123012635.xml 2022-11-23T01:28:49.1327681Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dce.TestDCE-20221123012635.xml 2022-11-23T01:28:49.1327982Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dataclasses.TestDataclasses-20221123012635.xml 2022-11-23T01:28:49.1328304Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_device_analysis.TestDeviceAnalysis-20221123012635.xml 2022-11-23T01:28:49.1328581Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestDict-20221123012635.xml 2022-11-23T01:28:49.1328900Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeAnalysis-20221123012635.xml 2022-11-23T01:28:49.1329171Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_enum.TestEnum-20221123012635.xml 2022-11-23T01:28:49.1329512Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFreezing-20221123012635.xml 2022-11-23T01:28:49.1329772Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestFrontend-20221123012635.xml 2022-11-23T01:28:49.1330101Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFrozenOptimizations-20221123012635.xml 2022-11-23T01:28:49.1330435Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_functional_blocks.TestFunctionalBlocks-20221123012635.xml 2022-11-23T01:28:49.1330821Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestFunctionalToInplaceActivation-20221123012635.xml 2022-11-23T01:28:49.1331109Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_attr.TestGetDefaultAttr-20221123012635.xml 2022-11-23T01:28:49.1331497Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_graph_rewrite_passes.TestGraphRewritePasses-20221123012635.xml 2022-11-23T01:28:49.1331770Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hash.TestHash-20221123012635.xml 2022-11-23T01:28:49.1332047Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hooks.TestHooks-20221123012635.xml 2022-11-23T01:28:49.1332359Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignorable_args.TestIgnorableArgs-20221123012635.xml 2022-11-23T01:28:49.1332712Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignore_context_manager.TestIgnoreContextManager-20221123012635.xml 2022-11-23T01:28:49.1333099Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestInplaceToFunctionalActivation-20221123012635.xml 2022-11-23T01:28:49.1333407Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_isinstance.TestIsinstance-20221123012635.xml 2022-11-23T01:28:49.1333658Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJit-20221123012635.xml 2022-11-23T01:28:49.1333946Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJitGeneratedModule-20221123012635.xml 2022-11-23T01:28:49.1334221Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_jit_utils.TestJitUtils-20221123012635.xml 2022-11-23T01:28:49.1334494Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestList-20221123012635.xml 2022-11-23T01:28:49.1334782Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_logging.TestLogging-20221123012635.xml 2022-11-23T01:28:49.1335109Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestMKLDNNReinplacing-20221123012635.xml 2022-11-23T01:28:49.1335374Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_misc.TestMisc-20221123012635.xml 2022-11-23T01:28:49.1335698Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestMixTracingScripting-20221123012635.xml 2022-11-23T01:28:49.1335982Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_models.TestModels-20221123012635.xml 2022-11-23T01:28:49.1336278Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_apis.TestModuleAPIs-20221123012635.xml 2022-11-23T01:28:49.1336612Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_containers.TestModuleContainers-20221123012635.xml 2022-11-23T01:28:49.1336926Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_interface.TestModuleInterface-20221123012635.xml 2022-11-23T01:28:49.1337210Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_modules.TestModules-20221123012635.xml 2022-11-23T01:28:49.1337501Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestNamedTuple-20221123012635.xml 2022-11-23T01:28:49.1337841Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backend_nnapi.TestNnapiBackend-20221123012635.xml 2022-11-23T01:28:49.1338190Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_op_decompositions.TestOpDecompositions-20221123012635.xml 2022-11-23T01:28:49.1338614Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo-20221123012635.xml 2022-11-23T01:28:49.1338881Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_pdt.TestPDT-20221123012635.xml 2022-11-23T01:28:49.1339224Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_parametrization.TestParametrization-20221123012635.xml 2022-11-23T01:28:49.1339520Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_peephole.TestPeephole-20221123012635.xml 2022-11-23T01:28:49.1339837Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestProducerVersion-20221123012635.xml 2022-11-23T01:28:49.1340120Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_profiler.TestProfiler-20221123012635.xml 2022-11-23T01:28:49.1340441Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_bindings.TestPythonBindings-20221123012635.xml 2022-11-23T01:28:49.1340768Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_builtins.TestPythonBuiltinOP-20221123012635.xml 2022-11-23T01:28:49.1341055Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_ir.TestPythonIr-20221123012635.xml 2022-11-23T01:28:49.1341379Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_recursive_script.TestRecursiveScript-20221123012635.xml 2022-11-23T01:28:49.1341694Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_remove_mutation.TestRemoveMutation-20221123012635.xml 2022-11-23T01:28:49.1341983Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoad-20221123012635.xml 2022-11-23T01:28:49.1342340Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load_for_op_version.TestSaveLoadForOpVersion-20221123012635.xml 2022-11-23T01:28:49.1342591Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestScript-20221123012635.xml 2022-11-23T01:28:49.1342881Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptDict-20221123012635.xml 2022-11-23T01:28:49.1343156Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptList-20221123012635.xml 2022-11-23T01:28:49.1343573Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation-20221123012635.xml 2022-11-23T01:28:49.1343889Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_script_profile.TestScriptProfile-20221123012635.xml 2022-11-23T01:28:49.1344168Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_slice.TestSlice-20221123012635.xml 2022-11-23T01:28:49.1344449Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_sparse.TestSparse-20221123012635.xml 2022-11-23T01:28:49.1344785Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_string_formatting.TestStringFormatting-20221123012635.xml 2022-11-23T01:28:49.1345142Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis-20221123012635.xml 2022-11-23T01:28:49.1345452Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestTensorBuiltins-20221123012635.xml 2022-11-23T01:28:49.1345784Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_creation_ops.TestTensorCreationOps-20221123012635.xml 2022-11-23T01:28:49.1346101Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_methods.TestTensorMethods-20221123012635.xml 2022-11-23T01:28:49.1346451Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_torchbind.TestTorchbind-20221123012635.xml 2022-11-23T01:28:49.1346736Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestTracer-20221123012635.xml 2022-11-23T01:28:49.1347041Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_type_sharing.TestTypeSharing-20221123012635.xml 2022-11-23T01:28:49.1347353Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_types.TestTypesAndAnnotation-20221123012635.xml 2022-11-23T01:28:49.1347633Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_typing.TestTyping-20221123012635.xml 2022-11-23T01:28:49.1347904Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_union.TestUnion-20221123012635.xml 2022-11-23T01:28:49.1348261Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_unsupported_ops.TestUnsupportedOps-20221123012635.xml 2022-11-23T01:28:49.1348564Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_upgraders.TestUpgraders-20221123012635.xml 2022-11-23T01:28:49.1348831Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_warn.TestWarn-20221123012635.xml 2022-11-23T01:28:49.1349085Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_with.TestWith-20221123012635.xml 2022-11-23T01:28:49.1349400Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_data_parallel.TestDataParallel-20221123012635.xml 2022-11-23T01:28:49.1349718Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoadFlatbuffer-20221123012635.xml 2022-11-23T01:28:49.1349723Z 2022-11-23T01:28:49.1350135Z ##[endgroup] 2022-11-23T01:28:49.1350392Z FINISHED PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_x8cdaanv) 2022-11-23T01:28:49.1350400Z 2022-11-23T01:28:51.0633439Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:28:51.1443586Z Ignoring disabled issues: [] 2022-11-23T01:28:51.1611542Z Running test_jit_autocast ... [2022-11-23 01:28:51.160796] 2022-11-23T01:28:51.1613258Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:28:51.161099] 2022-11-23T01:29:06.9870083Z 2022-11-23T01:29:06.9870610Z Expand the folded group to see the log file of test_jit_autocast 2022-11-23T01:29:06.9871383Z ##[group]PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_k1yeuam9) 2022-11-23T01:29:06.9871721Z CUDA not available, skipping tests 2022-11-23T01:29:06.9871852Z 2022-11-23T01:29:06.9871928Z Running tests... 2022-11-23T01:29:06.9872341Z ---------------------------------------------------------------------- 2022-11-23T01:29:06.9872730Z Test results will be stored in test-reports/python-unittest/test_jit_autocast 2022-11-23T01:29:06.9929832Z test_autocast_api (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9930343Z test_autocast_api_not_supported (__main__.TestAutocast) ... skip: we need to provide dtype argument at this moment (0.001s) 2022-11-23T01:29:06.9930699Z test_autocast_autodiff (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9931242Z test_autocast_decorator (__main__.TestAutocast) ... skip: autocast decorators not supported (0.000s) 2022-11-23T01:29:06.9931862Z test_autocast_decorator_outside_jit (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9932223Z test_autocast_mixed_dtypes (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9932679Z test_callees (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9933089Z test_callees_with_autocast_off (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9933400Z test_callees_with_autocast_on (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9933884Z test_conditional_autocast (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9934543Z test_control_flow (__main__.TestAutocast) ... skip: broken due to lack of type propagation (0.001s) 2022-11-23T01:29:06.9935113Z test_divergent_autocast (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9935554Z test_divergent_types (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9936061Z test_duplicate_inputs (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9936437Z test_eager_and_script (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9936711Z test_explicit_casts (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9937052Z test_fp32_policy (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9937652Z test_fp32_policy_with_fp64 (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9938398Z test_fp32_set_opt_dtype_policy (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9939035Z test_fp32_set_opt_dtype_policy_fp64 (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9939633Z test_ignore_amp (__main__.TestAutocast) ... ok (0.014s) 2022-11-23T01:29:06.9940232Z test_implicitly_nested_autocast (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9940833Z test_inplace (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9941416Z test_jit_autocast_softmax_cpu (__main__.TestAutocast) ... ok (0.058s) 2022-11-23T01:29:06.9942045Z test_jit_autocast_softmax_gpu (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9942704Z test_jit_call_method_under_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9943352Z test_jit_executor_under_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9944046Z test_jit_freeze_autocast_basic (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9944708Z test_jit_freeze_autocast_constants (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9945370Z test_linear_bf16 (__main__.TestAutocast) ... skip: No cuda bfloat16 support (0.000s) 2022-11-23T01:29:06.9945966Z test_minimal (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9946538Z test_minimal_cpu (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9947116Z test_minimal_off (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9947687Z test_nested_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9948298Z test_promote_policy (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9948915Z test_promote_policy_fp64 (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9949526Z test_reused_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9950187Z test_reused_autocast_expr (__main__.TestAutocast) ... skip: unsuported autocast syntax (0.001s) 2022-11-23T01:29:06.9950878Z test_runtime_autocast_state (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9951528Z test_runtime_autocast_state_expr (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9952155Z test_script_and_tracing (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9952912Z test_script_and_tracing_with_autocast (__main__.TestAutocast) ... skip: autocast(False) is ignored inside traced functions (0.000s) 2022-11-23T01:29:06.9953651Z test_script_module (__main__.TestAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9954258Z test_tracing_and_script (__main__.TestAutocast) ... skip: No cuda (0.000s) 2022-11-23T01:29:06.9955034Z test_tracing_with_autocast_and_script (__main__.TestAutocast) ... skip: scripted called from traced TorchScript is not yet working (0.000s) 2022-11-23T01:29:06.9955790Z test_cat_promote (__main__.TestJitTraceAutocast) ... ok (0.169s) 2022-11-23T01:29:06.9956515Z test_generate_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (3.316s) 2022-11-23T01:29:06.9957195Z test_nchw_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (4.542s) 2022-11-23T01:29:06.9957885Z test_nhwc_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (4.224s) 2022-11-23T01:29:06.9958552Z test_script_autocast_cpu (__main__.TestJitTraceAutocast) ... ok (0.067s) 2022-11-23T01:29:06.9959216Z test_script_autocast_cuda (__main__.TestJitTraceAutocast) ... skip: No cuda (0.001s) 2022-11-23T01:29:06.9959900Z test_script_autocast_enable_and_check (__main__.TestJitTraceAutocast) ... ok (0.075s) 2022-11-23T01:29:06.9960640Z test_scripted_aliasing (__main__.TestJitTraceAutocast) ... ok (0.068s) 2022-11-23T01:29:06.9961001Z 2022-11-23T01:29:06.9961516Z ---------------------------------------------------------------------- 2022-11-23T01:29:06.9962113Z Ran 53 tests in 12.574s 2022-11-23T01:29:06.9962326Z 2022-11-23T01:29:06.9962474Z OK (skipped=44) 2022-11-23T01:29:06.9962698Z 2022-11-23T01:29:06.9962874Z Generating XML reports... 2022-11-23T01:29:06.9963756Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestAutocast-20221123012853.xml 2022-11-23T01:29:06.9965013Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestJitTraceAutocast-20221123012853.xml 2022-11-23T01:29:06.9965404Z 2022-11-23T01:29:06.9966000Z ##[endgroup] 2022-11-23T01:29:06.9966438Z FINISHED PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_k1yeuam9) 2022-11-23T01:29:06.9966660Z 2022-11-23T01:29:08.9664512Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:29:09.0435254Z Ignoring disabled issues: [] 2022-11-23T01:29:09.0598558Z Running test_jit_fuser_te ... [2022-11-23 01:29:09.059487] 2022-11-23T01:29:09.0599963Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_fuser_te.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:29:09.059773] 2022-11-23T01:30:35.0284687Z 2022-11-23T01:30:35.0285439Z Expand the folded group to see the log file of inductor/test_torchinductor 2022-11-23T01:30:35.0390224Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_u9zxk3n4) 2022-11-23T01:30:35.0391041Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:35.0391295Z 2022-11-23T01:30:35.0391417Z Running tests... 2022-11-23T01:30:35.0391932Z ---------------------------------------------------------------------- 2022-11-23T01:30:35.0392577Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor 2022-11-23T01:30:35.0393112Z test_auto_simd (__main__.CPUReproTests) ... ok (0.271s) 2022-11-23T01:30:35.0393573Z test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.002s) 2022-11-23T01:30:35.0394654Z test_conv_stride_constraints (__main__.CPUReproTests) ... [2022-11-23 01:21:41,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:30:35.0395660Z [2022-11-23 01:21:43,170] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7iyv7dvcolgqlnjpdc2ophj6ebnnoj6h4qsyiajwltoq6gkoyy6.py 2022-11-23T01:30:35.0396518Z [2022-11-23 01:21:43,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.0397253Z [2022-11-23 01:21:43,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:30:35.0398103Z [2022-11-23 01:21:43,182] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7itsynl2vkz7jitbl4iklwk2omp6o5ztdmjbaivkv3lhw2d65e4.py 2022-11-23T01:30:35.0398921Z [2022-11-23 01:21:43,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.0399221Z 2022-11-23T01:30:35.0399360Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0399709Z import torch 2022-11-23T01:30:35.0399970Z import random 2022-11-23T01:30:35.0400648Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0401096Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0401348Z 2022-11-23T01:30:35.0401482Z aten = torch.ops.aten 2022-11-23T01:30:35.0401860Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0402275Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0402490Z 2022-11-23T01:30:35.0402497Z 2022-11-23T01:30:35.0402740Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.0403310Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.0403869Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.0404267Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.0404638Z { 2022-11-23T01:30:35.0405073Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.0405497Z { 2022-11-23T01:30:35.0405790Z #pragma omp for collapse(2) 2022-11-23T01:30:35.0406105Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.0406406Z { 2022-11-23T01:30:35.0406702Z for(long i1=0; i1<5; i1+=1) 2022-11-23T01:30:35.0406983Z { 2022-11-23T01:30:35.0407275Z #pragma GCC ivdep 2022-11-23T01:30:35.0407600Z for(long i2=0; i2<256; i2+=1) 2022-11-23T01:30:35.0407871Z { 2022-11-23T01:30:35.0408136Z { 2022-11-23T01:30:35.0408409Z { 2022-11-23T01:30:35.0408769Z auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)]; 2022-11-23T01:30:35.0409142Z out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0; 2022-11-23T01:30:35.0409465Z } 2022-11-23T01:30:35.0409740Z } 2022-11-23T01:30:35.0409990Z } 2022-11-23T01:30:35.0410275Z } 2022-11-23T01:30:35.0410511Z } 2022-11-23T01:30:35.0410758Z } 2022-11-23T01:30:35.0410997Z } 2022-11-23T01:30:35.0411254Z ''') 2022-11-23T01:30:35.0411406Z 2022-11-23T01:30:35.0411416Z 2022-11-23T01:30:35.0411562Z async_compile.wait(globals()) 2022-11-23T01:30:35.0411886Z del async_compile 2022-11-23T01:30:35.0412058Z 2022-11-23T01:30:35.0412159Z def call(args): 2022-11-23T01:30:35.0412452Z inp_1, weight_1 = args 2022-11-23T01:30:35.0412754Z args.clear() 2022-11-23T01:30:35.0413279Z buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0413760Z kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.0414131Z del inp_1 2022-11-23T01:30:35.0414511Z buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.0414938Z assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6)) 2022-11-23T01:30:35.0415255Z del buf0 2022-11-23T01:30:35.0415527Z del weight_1 2022-11-23T01:30:35.0415776Z return (buf1, ) 2022-11-23T01:30:35.0415945Z 2022-11-23T01:30:35.0415952Z 2022-11-23T01:30:35.0416071Z if __name__ == "__main__": 2022-11-23T01:30:35.0416417Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0416817Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0417399Z inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0417991Z weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0418408Z print_performance(lambda: call([inp_1, weight_1])) 2022-11-23T01:30:35.0418628Z 2022-11-23T01:30:35.0418634Z 2022-11-23T01:30:35.0418757Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0419048Z import torch 2022-11-23T01:30:35.0419302Z import random 2022-11-23T01:30:35.0419612Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0420026Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0420251Z 2022-11-23T01:30:35.0420368Z aten = torch.ops.aten 2022-11-23T01:30:35.0420837Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0421190Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0421382Z 2022-11-23T01:30:35.0421388Z 2022-11-23T01:30:35.0421529Z async_compile.wait(globals()) 2022-11-23T01:30:35.0421823Z del async_compile 2022-11-23T01:30:35.0421990Z 2022-11-23T01:30:35.0422077Z def call(args): 2022-11-23T01:30:35.0422342Z inp_1, weight_1 = args 2022-11-23T01:30:35.0422611Z args.clear() 2022-11-23T01:30:35.0422940Z buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.0423326Z assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)) 2022-11-23T01:30:35.0423615Z del inp_1 2022-11-23T01:30:35.0423860Z del weight_1 2022-11-23T01:30:35.0424099Z return (buf0, ) 2022-11-23T01:30:35.0424254Z 2022-11-23T01:30:35.0424312Z 2022-11-23T01:30:35.0424428Z if __name__ == "__main__": 2022-11-23T01:30:35.0424759Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0425146Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0425727Z inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0452190Z weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0454759Z print_performance(lambda: call([inp_1, weight_1])) 2022-11-23T01:30:35.0454984Z 2022-11-23T01:30:35.0455098Z ok (1.544s) 2022-11-23T01:30:35.0455922Z test_inplace_add_alpha (__main__.CPUReproTests) ... [2022-11-23 01:21:43,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:30:35.0456982Z [2022-11-23 01:21:44,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2jydh6mw6rvyvoewoetthlpwkzvnzjcildf25453ntiighl5mk.py 2022-11-23T01:30:35.0457928Z [2022-11-23 01:21:44,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.0458252Z 2022-11-23T01:30:35.0458422Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0458751Z import torch 2022-11-23T01:30:35.0459028Z import random 2022-11-23T01:30:35.0459378Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0459823Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0460083Z 2022-11-23T01:30:35.0460209Z aten = torch.ops.aten 2022-11-23T01:30:35.0460596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0461016Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0461231Z 2022-11-23T01:30:35.0461238Z 2022-11-23T01:30:35.0461468Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.0462035Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.0462586Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.0462994Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.0463373Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.0463659Z { 2022-11-23T01:30:35.0463960Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.0464272Z { 2022-11-23T01:30:35.0464529Z #pragma omp for 2022-11-23T01:30:35.0464858Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.0465143Z { 2022-11-23T01:30:35.0465516Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.0465992Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.0466459Z auto tmp2 = at::vec::Vectorized(static_cast(0.55)); 2022-11-23T01:30:35.0466858Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:30:35.0467181Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.0467509Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.0467812Z } 2022-11-23T01:30:35.0468103Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.0468443Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.0468735Z { 2022-11-23T01:30:35.0469165Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:35.0469497Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.0469851Z auto tmp2 = static_cast(0.55); 2022-11-23T01:30:35.0470184Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:30:35.0470508Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.0470845Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.0471134Z } 2022-11-23T01:30:35.0471375Z } 2022-11-23T01:30:35.0471615Z } 2022-11-23T01:30:35.0471888Z ''') 2022-11-23T01:30:35.0472016Z 2022-11-23T01:30:35.0472022Z 2022-11-23T01:30:35.0472168Z async_compile.wait(globals()) 2022-11-23T01:30:35.0472486Z del async_compile 2022-11-23T01:30:35.0472666Z 2022-11-23T01:30:35.0472782Z def call(args): 2022-11-23T01:30:35.0473047Z x_1, y_1 = args 2022-11-23T01:30:35.0473408Z args.clear() 2022-11-23T01:30:35.0473827Z kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr())) 2022-11-23T01:30:35.0474221Z del y_1 2022-11-23T01:30:35.0474484Z return (x_1, ) 2022-11-23T01:30:35.0474662Z 2022-11-23T01:30:35.0474669Z 2022-11-23T01:30:35.0474794Z if __name__ == "__main__": 2022-11-23T01:30:35.0475157Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0475578Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0476157Z x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0476730Z y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0477145Z print_performance(lambda: call([x_1, y_1])) 2022-11-23T01:30:35.0477384Z 2022-11-23T01:30:35.0477493Z ok (1.425s) 2022-11-23T01:30:35.0478284Z test_inplace_squeeze_needed (__main__.CPUReproTests) ... [2022-11-23 01:21:44,612] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py 2022-11-23T01:30:35.0479174Z [2022-11-23 01:21:44,612] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py 2022-11-23T01:30:35.0479939Z [2022-11-23 01:21:44,612] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py 2022-11-23T01:30:35.0480868Z [2022-11-23 01:21:44,613] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py 2022-11-23T01:30:35.0481749Z [2022-11-23 01:21:44,613] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.0482534Z [2022-11-23 01:21:44,614] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.0483378Z [2022-11-23 01:21:44,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4698 2022-11-23T01:30:35.0484155Z [2022-11-23 01:21:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF mod [] 2022-11-23T01:30:35.0485019Z [2022-11-23 01:21:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.0485810Z [2022-11-23 01:21:44,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.0486569Z [2022-11-23 01:21:44,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.0487291Z [2022-11-23 01:21:44,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.0488008Z [2022-11-23 01:21:44,628] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.0488720Z [2022-11-23 01:21:44,637] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.0489348Z [2022-11-23 01:21:44,638] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.0489825Z __compiled_fn_0 .7 opcode, name, target, args, kwargs 2022-11-23T01:30:35.0490217Z placeholder, x, x, (), {} 2022-11-23T01:30:35.0490625Z call_module, mod_0, mod_0, (x,), {} 2022-11-23T01:30:35.0490989Z call_module, mod_1, mod_1, (mod_0,), {} 2022-11-23T01:30:35.0491344Z call_module, mod_2, mod_2, (mod_1,), {} 2022-11-23T01:30:35.0491684Z output, output, output, ((mod_2,),), {} 2022-11-23T01:30:35.0491905Z 2022-11-23T01:30:35.0492491Z [2022-11-23 01:21:44,638] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 2022-11-23T01:30:35.0493041Z 4698 0 LOAD_DEREF 0 (mod) 2022-11-23T01:30:35.0493378Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.0493700Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.0494011Z 6 RETURN_VALUE 2022-11-23T01:30:35.0494196Z 2022-11-23T01:30:35.0494289Z 2022-11-23T01:30:35.0495046Z [2022-11-23 01:21:44,638] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 2022-11-23T01:30:35.0495604Z 4696 0 LOAD_GLOBAL 0 (__compiled_fn_0) 2022-11-23T01:30:35.0495968Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.0496288Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.0496625Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.0496946Z 8 RETURN_VALUE 2022-11-23T01:30:35.0497125Z 2022-11-23T01:30:35.0497224Z 2022-11-23T01:30:35.0497645Z [2022-11-23 01:21:44,741] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.0498008Z - 2022-11-23T01:30:35.0498359Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.0498631Z { 2022-11-23T01:30:35.0499262Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.0499674Z 'code': None, 2022-11-23T01:30:35.0500199Z 'obj_weakref': 2022-11-23T01:30:35.0500906Z 'guarded_class': 2022-11-23T01:30:35.0501308Z } 2022-11-23T01:30:35.0501552Z 2022-11-23T01:30:35.0501821Z - 2022-11-23T01:30:35.0502151Z local 'mod' NN_MODULE 2022-11-23T01:30:35.0502439Z { 2022-11-23T01:30:35.0502803Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.0503283Z 'code': ['___check_obj_id(mod, 140537192225312)'], 2022-11-23T01:30:35.0503870Z 'obj_weakref': 2022-11-23T01:30:35.0504522Z 'guarded_class': 2022-11-23T01:30:35.0504911Z } 2022-11-23T01:30:35.0505160Z 2022-11-23T01:30:35.0505409Z - 2022-11-23T01:30:35.0505777Z local_nn_module 'mod[0]' NN_MODULE 2022-11-23T01:30:35.0506100Z { 2022-11-23T01:30:35.0506446Z 'guard_types': None, 2022-11-23T01:30:35.0506818Z 'code': None, 2022-11-23T01:30:35.0507192Z 'obj_weakref': None 2022-11-23T01:30:35.0507564Z 'guarded_class': None 2022-11-23T01:30:35.0507855Z } 2022-11-23T01:30:35.0510102Z 2022-11-23T01:30:35.0510395Z - 2022-11-23T01:30:35.0510790Z local_nn_module 'mod[1]' NN_MODULE 2022-11-23T01:30:35.0511102Z { 2022-11-23T01:30:35.0511443Z 'guard_types': None, 2022-11-23T01:30:35.0511814Z 'code': None, 2022-11-23T01:30:35.0512188Z 'obj_weakref': None 2022-11-23T01:30:35.0512578Z 'guarded_class': None 2022-11-23T01:30:35.0512859Z } 2022-11-23T01:30:35.0513109Z 2022-11-23T01:30:35.0513379Z - 2022-11-23T01:30:35.0513746Z local_nn_module 'mod[2]' NN_MODULE 2022-11-23T01:30:35.0514064Z { 2022-11-23T01:30:35.0514411Z 'guard_types': None, 2022-11-23T01:30:35.0514772Z 'code': None, 2022-11-23T01:30:35.0515252Z 'obj_weakref': None 2022-11-23T01:30:35.0515637Z 'guarded_class': None 2022-11-23T01:30:35.0515914Z } 2022-11-23T01:30:35.0516166Z 2022-11-23T01:30:35.0516824Z [2022-11-23 01:21:44,742] torch._dynamo.eval_frame: [DEBUG] skipping _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.0517695Z [2022-11-23 01:21:44,742] torch._dynamo.eval_frame: [DEBUG] skipping nothing /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.0518525Z [2022-11-23 01:21:44,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0 2022-11-23T01:30:35.0519505Z [2022-11-23 01:21:46,402] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cvinstuwloedhvnuzb46rfcseww2iaiqid3nj2adte4pdaxkeyqd.py 2022-11-23T01:30:35.0521123Z [2022-11-23 01:21:46,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0 2022-11-23T01:30:35.0521908Z [2022-11-23 01:21:46,406] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py 2022-11-23T01:30:35.0522687Z [2022-11-23 01:21:46,407] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py 2022-11-23T01:30:35.0523014Z 2022-11-23T01:30:35.0523169Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0523495Z import torch 2022-11-23T01:30:35.0523766Z import random 2022-11-23T01:30:35.0524128Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0524575Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0524925Z 2022-11-23T01:30:35.0525038Z aten = torch.ops.aten 2022-11-23T01:30:35.0525451Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0525866Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0526083Z 2022-11-23T01:30:35.0526091Z 2022-11-23T01:30:35.0526321Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.0526879Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.0527452Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.0527864Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.0528233Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.0528612Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.0528986Z const float* __restrict__ in_ptr3, 2022-11-23T01:30:35.0529360Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.0529803Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.0530133Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.0530457Z bool* __restrict__ out_ptr4) 2022-11-23T01:30:35.0530718Z { 2022-11-23T01:30:35.0530971Z auto in_ptr0 = in_out_ptr0; 2022-11-23T01:30:35.0531272Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:30:35.0531521Z { 2022-11-23T01:30:35.0531963Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.0532369Z float tmp3 = 0; 2022-11-23T01:30:35.0532673Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:35.0533042Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.0533334Z { 2022-11-23T01:30:35.0533629Z #pragma omp for reduction(+:tmp3_vec) 2022-11-23T01:30:35.0533937Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.0534201Z { 2022-11-23T01:30:35.0534547Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.0534989Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.0535372Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0535691Z tmp3_vec += tmp2; 2022-11-23T01:30:35.0535941Z } 2022-11-23T01:30:35.0536505Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:35.0537018Z #pragma omp for simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:35.0537384Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.0537639Z { 2022-11-23T01:30:35.0537917Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.0591407Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.0591782Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0592085Z tmp3 += tmp2; 2022-11-23T01:30:35.0592335Z } 2022-11-23T01:30:35.0592579Z } 2022-11-23T01:30:35.0592878Z out_ptr0[0] = tmp3; 2022-11-23T01:30:35.0593147Z } 2022-11-23T01:30:35.0593386Z { 2022-11-23T01:30:35.0594094Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.0594577Z float tmp8 = 0; 2022-11-23T01:30:35.0594986Z auto tmp8_vec = at::vec::Vectorized(tmp8); 2022-11-23T01:30:35.0595369Z float tmp9 = 0; 2022-11-23T01:30:35.0595748Z auto tmp9_vec = at::vec::Vectorized(tmp9); 2022-11-23T01:30:35.0596163Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.0596512Z { 2022-11-23T01:30:35.0596905Z #pragma omp for reduction(+:tmp8_vec) reduction(+:tmp9_vec) 2022-11-23T01:30:35.0597327Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.0597633Z { 2022-11-23T01:30:35.0598030Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.0598537Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.0599036Z auto tmp3 = at::vec::Vectorized(out_ptr0[0]); 2022-11-23T01:30:35.0599459Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0599914Z auto tmp4 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:30:35.0600451Z auto tmp5 = tmp3 / tmp4; 2022-11-23T01:30:35.0600975Z auto tmp6 = tmp2 - tmp5; 2022-11-23T01:30:35.0601346Z auto tmp7 = tmp6.pow(2); 2022-11-23T01:30:35.0601681Z tmp8_vec += tmp7; 2022-11-23T01:30:35.0602016Z tmp9_vec += tmp2; 2022-11-23T01:30:35.0602325Z } 2022-11-23T01:30:35.0602807Z tmp8 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp8_vec); 2022-11-23T01:30:35.0603498Z tmp9 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp9_vec); 2022-11-23T01:30:35.0604052Z #pragma omp for simd simdlen(4) reduction(+:tmp8) reduction(+:tmp9) 2022-11-23T01:30:35.0604505Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.0604882Z { 2022-11-23T01:30:35.0605203Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.0605562Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.0605892Z auto tmp3 = out_ptr0[0]; 2022-11-23T01:30:35.0606265Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0606639Z auto tmp4 = static_cast(10); 2022-11-23T01:30:35.0606991Z auto tmp5 = tmp3 / tmp4; 2022-11-23T01:30:35.0607470Z auto tmp6 = tmp2 - tmp5; 2022-11-23T01:30:35.0607823Z auto tmp7 = tmp6 * tmp6; 2022-11-23T01:30:35.0608142Z tmp8 += tmp7; 2022-11-23T01:30:35.0608481Z tmp9 += tmp2; 2022-11-23T01:30:35.0608767Z } 2022-11-23T01:30:35.0609022Z } 2022-11-23T01:30:35.0609319Z out_ptr1[0] = tmp8; 2022-11-23T01:30:35.0609654Z out_ptr2[0] = tmp9; 2022-11-23T01:30:35.0609945Z } 2022-11-23T01:30:35.0610278Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.0610622Z { 2022-11-23T01:30:35.0610901Z #pragma omp for 2022-11-23T01:30:35.0611371Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:35.0611683Z { 2022-11-23T01:30:35.0611948Z { 2022-11-23T01:30:35.0612241Z { 2022-11-23T01:30:35.0612587Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.0612977Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.0613335Z auto tmp3 = out_ptr2[0]; 2022-11-23T01:30:35.0613699Z auto tmp7 = out_ptr1[0]; 2022-11-23T01:30:35.0614063Z auto tmp14 = in_ptr2[i0]; 2022-11-23T01:30:35.0614425Z auto tmp16 = in_ptr3[i0]; 2022-11-23T01:30:35.0614797Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0615199Z auto tmp4 = static_cast(10); 2022-11-23T01:30:35.0615573Z auto tmp5 = tmp3 / tmp4; 2022-11-23T01:30:35.0616130Z auto tmp6 = tmp2 - tmp5; 2022-11-23T01:30:35.0616491Z auto tmp8 = tmp7 / tmp4; 2022-11-23T01:30:35.0616981Z auto tmp9 = static_cast(1e-05); 2022-11-23T01:30:35.0617379Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:35.0617776Z auto tmp11 = std::sqrt(tmp10); 2022-11-23T01:30:35.0618133Z auto tmp12 = 1 / tmp11; 2022-11-23T01:30:35.0618490Z auto tmp13 = tmp6 * tmp12; 2022-11-23T01:30:35.0618864Z auto tmp15 = tmp13 * tmp14; 2022-11-23T01:30:35.0619236Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:30:35.0619605Z auto tmp18 = tmp17 * (tmp17>0); 2022-11-23T01:30:35.0620012Z auto tmp19 = static_cast(0); 2022-11-23T01:30:35.0620413Z auto tmp20 = tmp18 <= tmp19; 2022-11-23T01:30:35.0620766Z in_out_ptr0[i0] = tmp13; 2022-11-23T01:30:35.0621109Z out_ptr3[i0] = tmp18; 2022-11-23T01:30:35.0621455Z out_ptr4[i0] = tmp20; 2022-11-23T01:30:35.0621752Z } 2022-11-23T01:30:35.0622041Z } 2022-11-23T01:30:35.0622329Z } 2022-11-23T01:30:35.0622619Z #pragma omp single 2022-11-23T01:30:35.0622929Z { 2022-11-23T01:30:35.0623193Z { 2022-11-23T01:30:35.0623448Z { 2022-11-23T01:30:35.0623780Z auto tmp0 = out_ptr1[0]; 2022-11-23T01:30:35.0624180Z auto tmp1 = static_cast(10); 2022-11-23T01:30:35.0624556Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.0625065Z auto tmp3 = static_cast(1e-05); 2022-11-23T01:30:35.0625452Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.0625833Z auto tmp5 = std::sqrt(tmp4); 2022-11-23T01:30:35.0626197Z auto tmp6 = 1 / tmp5; 2022-11-23T01:30:35.0626560Z auto tmp7 = tmp6 / tmp1; 2022-11-23T01:30:35.0626927Z in_out_ptr1[0] = tmp7; 2022-11-23T01:30:35.0627214Z } 2022-11-23T01:30:35.0627483Z } 2022-11-23T01:30:35.0627769Z } 2022-11-23T01:30:35.0628027Z } 2022-11-23T01:30:35.0628293Z } 2022-11-23T01:30:35.0628563Z ''') 2022-11-23T01:30:35.0628715Z 2022-11-23T01:30:35.0628722Z 2022-11-23T01:30:35.0628883Z async_compile.wait(globals()) 2022-11-23T01:30:35.0629238Z del async_compile 2022-11-23T01:30:35.0629431Z 2022-11-23T01:30:35.0629543Z def call(args): 2022-11-23T01:30:35.0629937Z primals_1, primals_2, primals_3, primals_4, primals_5 = args 2022-11-23T01:30:35.0630349Z args.clear() 2022-11-23T01:30:35.0630866Z buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0631413Z aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0) 2022-11-23T01:30:35.0631825Z del primals_1 2022-11-23T01:30:35.0632381Z buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0633074Z buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0633686Z buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0634155Z buf4 = as_strided(buf0, (10, ), (1, )); del buf0 # reuse 2022-11-23T01:30:35.0634738Z buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0635338Z buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.0635734Z buf7 = buf2; del buf2 # reuse 2022-11-23T01:30:35.0636534Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr())) 2022-11-23T01:30:35.0637175Z del buf1 2022-11-23T01:30:35.0637503Z del buf3 2022-11-23T01:30:35.0637785Z del primals_2 2022-11-23T01:30:35.0638073Z del primals_4 2022-11-23T01:30:35.0638500Z return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, ) 2022-11-23T01:30:35.0638806Z 2022-11-23T01:30:35.0638813Z 2022-11-23T01:30:35.0638947Z if __name__ == "__main__": 2022-11-23T01:30:35.0692395Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0694801Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0697655Z primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0698584Z primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0699176Z primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0699782Z primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0700375Z primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0700873Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5])) 2022-11-23T01:30:35.0701157Z 2022-11-23T01:30:35.0701250Z ok (1.799s) 2022-11-23T01:30:35.0701876Z test_masked_fill_softmax (__main__.CPUReproTests) ... [2022-11-23 01:21:46,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.0702767Z [2022-11-23 01:21:46,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4853 2022-11-23T01:30:35.0703483Z [2022-11-23 01:21:46,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [] 2022-11-23T01:30:35.0704174Z [2022-11-23 01:21:46,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()] 2022-11-23T01:30:35.0704958Z [2022-11-23 01:21:46,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:30:35.0705977Z [2022-11-23 01:21:46,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [GetAttrVariable(TensorVariable(), to), TorchVariable()] 2022-11-23T01:30:35.0706949Z [2022-11-23 01:21:46,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(dtype)] 2022-11-23T01:30:35.0707699Z [2022-11-23 01:21:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mask [TensorVariable()] 2022-11-23T01:30:35.0708545Z [2022-11-23 01:21:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4854 2022-11-23T01:30:35.0709318Z [2022-11-23 01:21:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.0710183Z [2022-11-23 01:21:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:30:35.0711298Z [2022-11-23 01:21:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable()] 2022-11-23T01:30:35.0712278Z [2022-11-23 01:21:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.0713362Z [2022-11-23 01:21:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -33.0 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.0714495Z [2022-11-23 01:21:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.0715342Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.0716265Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4855 2022-11-23T01:30:35.0716998Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.0717921Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable()] 2022-11-23T01:30:35.0718868Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.0719755Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.0720927Z [2022-11-23 01:21:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.0721794Z [2022-11-23 01:21:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.0722522Z [2022-11-23 01:21:46,425] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.0723193Z [2022-11-23 01:21:46,427] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.0723818Z [2022-11-23 01:21:46,435] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.0724354Z [2022-11-23 01:21:46,435] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.0724993Z __compiled_fn_1 .18 opcode, name, target, args, kwargs 2022-11-23T01:30:35.0725381Z placeholder, value, value, (), {} 2022-11-23T01:30:35.0725716Z placeholder, mask, mask, (), {} 2022-11-23T01:30:35.0726067Z call_method, to, to, (mask, torch.bool), {} 2022-11-23T01:30:35.0726770Z call_function, masked_fill, , (value, to, -33.0), {} 2022-11-23T01:30:35.0727512Z call_function, softmax, , (masked_fill, -1), {} 2022-11-23T01:30:35.0727937Z output, output, output, ((softmax,),), {} 2022-11-23T01:30:35.0728144Z 2022-11-23T01:30:35.0728658Z [2022-11-23 01:21:46,436] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 2022-11-23T01:30:35.0729144Z 4853 0 LOAD_FAST 1 (mask) 2022-11-23T01:30:35.0729480Z 2 LOAD_METHOD 0 (to) 2022-11-23T01:30:35.0729790Z 4 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.0730344Z 6 LOAD_ATTR 2 (bool) 2022-11-23T01:30:35.0730689Z 8 CALL_METHOD 1 2022-11-23T01:30:35.0730998Z 10 STORE_FAST 1 (mask) 2022-11-23T01:30:35.0731208Z 2022-11-23T01:30:35.0731500Z 4854 12 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.0731846Z 14 LOAD_METHOD 3 (masked_fill) 2022-11-23T01:30:35.0732175Z 16 LOAD_FAST 0 (value) 2022-11-23T01:30:35.0732486Z 18 LOAD_FAST 1 (mask) 2022-11-23T01:30:35.0732893Z 20 LOAD_CONST 1 (-33.0) 2022-11-23T01:30:35.0733210Z 22 CALL_METHOD 3 2022-11-23T01:30:35.0733503Z 24 STORE_FAST 2 (x) 2022-11-23T01:30:35.0733680Z 2022-11-23T01:30:35.0733820Z 4855 26 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.0734157Z 28 LOAD_METHOD 4 (softmax) 2022-11-23T01:30:35.0734455Z 30 LOAD_FAST 2 (x) 2022-11-23T01:30:35.0734970Z 32 LOAD_CONST 2 (-1) 2022-11-23T01:30:35.0735286Z 34 CALL_METHOD 2 2022-11-23T01:30:35.0735588Z 36 RETURN_VALUE 2022-11-23T01:30:35.0735776Z 2022-11-23T01:30:35.0735872Z 2022-11-23T01:30:35.0736589Z [2022-11-23 01:21:46,436] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 2022-11-23T01:30:35.0737131Z 4852 0 LOAD_GLOBAL 5 (__compiled_fn_1) 2022-11-23T01:30:35.0737442Z 2 LOAD_FAST 0 (value) 2022-11-23T01:30:35.0737751Z 4 LOAD_FAST 1 (mask) 2022-11-23T01:30:35.0738057Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.0738336Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.0738631Z 10 RETURN_VALUE 2022-11-23T01:30:35.0738815Z 2022-11-23T01:30:35.0738905Z 2022-11-23T01:30:35.0739320Z [2022-11-23 01:21:46,437] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.0739666Z - 2022-11-23T01:30:35.0740002Z local 'mask' TENSOR_MATCH 2022-11-23T01:30:35.0740288Z { 2022-11-23T01:30:35.0740686Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.0741051Z 'code': None, 2022-11-23T01:30:35.0741569Z 'obj_weakref': 2022-11-23T01:30:35.0742171Z 'guarded_class': 2022-11-23T01:30:35.0742558Z } 2022-11-23T01:30:35.0742783Z 2022-11-23T01:30:35.0743008Z - 2022-11-23T01:30:35.0743352Z local 'value' TENSOR_MATCH 2022-11-23T01:30:35.0743621Z { 2022-11-23T01:30:35.0743972Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.0744345Z 'code': None, 2022-11-23T01:30:35.0744867Z 'obj_weakref': 2022-11-23T01:30:35.0745550Z 'guarded_class': 2022-11-23T01:30:35.0745949Z } 2022-11-23T01:30:35.0746184Z 2022-11-23T01:30:35.0746431Z - 2022-11-23T01:30:35.0746750Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.0747024Z { 2022-11-23T01:30:35.0747337Z 'guard_types': None, 2022-11-23T01:30:35.0747659Z 'code': None, 2022-11-23T01:30:35.0748006Z 'obj_weakref': None 2022-11-23T01:30:35.0748366Z 'guarded_class': None 2022-11-23T01:30:35.0748629Z } 2022-11-23T01:30:35.0748884Z 2022-11-23T01:30:35.0749136Z - 2022-11-23T01:30:35.0749499Z global 'torch.bool' CONSTANT_MATCH 2022-11-23T01:30:35.0749833Z { 2022-11-23T01:30:35.0750207Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.0750646Z 'code': ["str(torch.bool) == 'torch.bool'"], 2022-11-23T01:30:35.0751035Z 'obj_weakref': None 2022-11-23T01:30:35.0751646Z 'guarded_class': 2022-11-23T01:30:35.0751974Z } 2022-11-23T01:30:35.0752234Z 2022-11-23T01:30:35.0752780Z [2022-11-23 01:21:46,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1 2022-11-23T01:30:35.0753708Z [2022-11-23 01:21:47,964] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7orhotzymm3zi74gy3nj22wpvnmmuhfjzifvr4k2kkfzrmafto.py 2022-11-23T01:30:35.0754630Z [2022-11-23 01:21:47,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1 2022-11-23T01:30:35.0754953Z 2022-11-23T01:30:35.0755095Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0755389Z import torch 2022-11-23T01:30:35.0755623Z import random 2022-11-23T01:30:35.0755934Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0756400Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0756659Z 2022-11-23T01:30:35.0756783Z aten = torch.ops.aten 2022-11-23T01:30:35.0757152Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0757536Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0757742Z 2022-11-23T01:30:35.0757750Z 2022-11-23T01:30:35.0757979Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.0758518Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.0759104Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.0759514Z const unsigned char* __restrict__ in_ptr0, 2022-11-23T01:30:35.0759862Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.0760285Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.0760606Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.0760867Z { 2022-11-23T01:30:35.0761112Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:35.0761453Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.0761740Z { 2022-11-23T01:30:35.0761980Z #pragma omp for 2022-11-23T01:30:35.0762272Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.0762553Z { 2022-11-23T01:30:35.0762781Z { 2022-11-23T01:30:35.0763627Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:35.0764411Z float tmp5 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.0764944Z auto tmp5_vec = at::vec::Vectorized(tmp5); 2022-11-23T01:30:35.0765262Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.0765520Z { 2022-11-23T01:30:35.0765815Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:30:35.0766217Z flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:30:35.0766672Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:30:35.0767149Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:30:35.0767798Z auto tmp1 = (tmp0); 2022-11-23T01:30:35.0768362Z auto tmp2 = at::vec::Vectorized(static_cast(-33.0)); 2022-11-23T01:30:35.0768832Z auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1); 2022-11-23T01:30:35.0769231Z tmp5_vec = at::vec::maximum(tmp5_vec, tmp4); 2022-11-23T01:30:35.0769515Z } 2022-11-23T01:30:35.0769983Z tmp5 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp5_vec); 2022-11-23T01:30:35.0770506Z #pragma omp simd simdlen(4) reduction(max:tmp5) 2022-11-23T01:30:35.0770874Z for(long i1=16; i1<17; i1+=1) 2022-11-23T01:30:35.0771131Z { 2022-11-23T01:30:35.0771566Z auto tmp0 = in_ptr0[i1 + (17*i0)]; 2022-11-23T01:30:35.0771914Z auto tmp3 = in_ptr1[i1 + (17*i0)]; 2022-11-23T01:30:35.0772270Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.0772796Z auto tmp2 = static_cast(-33.0); 2022-11-23T01:30:35.0773158Z auto tmp4 = tmp1 ? tmp2 : tmp3; 2022-11-23T01:30:35.0773501Z tmp5 = std::max(tmp5, tmp4); 2022-11-23T01:30:35.0773781Z } 2022-11-23T01:30:35.0774037Z out_ptr0[i0] = tmp5; 2022-11-23T01:30:35.0774282Z } 2022-11-23T01:30:35.0774508Z } 2022-11-23T01:30:35.0774761Z #pragma omp for 2022-11-23T01:30:35.0775067Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.0775330Z { 2022-11-23T01:30:35.0775671Z { 2022-11-23T01:30:35.0776115Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.0776570Z float tmp8 = 0; 2022-11-23T01:30:35.0777042Z auto tmp8_vec = at::vec::Vectorized(tmp8); 2022-11-23T01:30:35.0777434Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.0777696Z { 2022-11-23T01:30:35.0778025Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:30:35.0778412Z flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:30:35.0778850Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:30:35.0779271Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:30:35.0779733Z auto tmp5 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:35.0780096Z auto tmp1 = (tmp0); 2022-11-23T01:30:35.0780607Z auto tmp2 = at::vec::Vectorized(static_cast(-33.0)); 2022-11-23T01:30:35.0781073Z auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1); 2022-11-23T01:30:35.0781548Z auto tmp6 = tmp4 - tmp5; 2022-11-23T01:30:35.0781915Z auto tmp7 = tmp6.exp(); 2022-11-23T01:30:35.0782252Z tmp7.store(out_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:30:35.0782579Z tmp8_vec += tmp7; 2022-11-23T01:30:35.0782841Z } 2022-11-23T01:30:35.0783251Z tmp8 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp8_vec); 2022-11-23T01:30:35.0783721Z #pragma omp simd simdlen(4) reduction(+:tmp8) 2022-11-23T01:30:35.0784074Z for(long i1=16; i1<17; i1+=1) 2022-11-23T01:30:35.0784339Z { 2022-11-23T01:30:35.0784644Z auto tmp0 = in_ptr0[i1 + (17*i0)]; 2022-11-23T01:30:35.0784991Z auto tmp3 = in_ptr1[i1 + (17*i0)]; 2022-11-23T01:30:35.0785347Z auto tmp5 = out_ptr0[i0]; 2022-11-23T01:30:35.0785697Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.0786219Z auto tmp2 = static_cast(-33.0); 2022-11-23T01:30:35.0786596Z auto tmp4 = tmp1 ? tmp2 : tmp3; 2022-11-23T01:30:35.0787000Z auto tmp6 = tmp4 - tmp5; 2022-11-23T01:30:35.0787330Z auto tmp7 = std::exp(tmp6); 2022-11-23T01:30:35.0787647Z out_ptr1[i1 + (17*i0)] = tmp7; 2022-11-23T01:30:35.0787920Z tmp8 += tmp7; 2022-11-23T01:30:35.0788172Z } 2022-11-23T01:30:35.0788430Z out_ptr2[i0] = tmp8; 2022-11-23T01:30:35.0788690Z } 2022-11-23T01:30:35.0788945Z } 2022-11-23T01:30:35.0789203Z #pragma omp for 2022-11-23T01:30:35.0789493Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.0789770Z { 2022-11-23T01:30:35.0790052Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.0790439Z { 2022-11-23T01:30:35.0790837Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:30:35.0791295Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:30:35.0791682Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.0792011Z tmp2.store(in_out_ptr0 + (8*i1) + (17*i0)); 2022-11-23T01:30:35.0792293Z } 2022-11-23T01:30:35.0792577Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.0792869Z for(long i1=16; i1<17; i1+=1) 2022-11-23T01:30:35.0793121Z { 2022-11-23T01:30:35.0793412Z auto tmp0 = out_ptr1[i1 + (17*i0)]; 2022-11-23T01:30:35.0793714Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:30:35.0794026Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.0794458Z in_out_ptr0[i1 + (17*i0)] = tmp2; 2022-11-23T01:30:35.0794750Z } 2022-11-23T01:30:35.0794995Z } 2022-11-23T01:30:35.0795265Z } 2022-11-23T01:30:35.0795494Z } 2022-11-23T01:30:35.0795757Z ''') 2022-11-23T01:30:35.0795922Z 2022-11-23T01:30:35.0795930Z 2022-11-23T01:30:35.0796063Z async_compile.wait(globals()) 2022-11-23T01:30:35.0796358Z del async_compile 2022-11-23T01:30:35.0796501Z 2022-11-23T01:30:35.0796602Z def call(args): 2022-11-23T01:30:35.0796866Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.0797125Z args.clear() 2022-11-23T01:30:35.0797555Z buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0798107Z buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0798635Z buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0798996Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:30:35.0799566Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.0800162Z del arg0_1 2022-11-23T01:30:35.0800417Z del arg1_1 2022-11-23T01:30:35.0800655Z return (buf3, ) 2022-11-23T01:30:35.0800822Z 2022-11-23T01:30:35.0800829Z 2022-11-23T01:30:35.0800941Z if __name__ == "__main__": 2022-11-23T01:30:35.0801253Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0801637Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0802169Z arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0802715Z arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8) 2022-11-23T01:30:35.0803119Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.0803345Z 2022-11-23T01:30:35.0803446Z ok (1.558s) 2022-11-23T01:30:35.0804171Z test_no_op_squeeze (__main__.CPUReproTests) ... [2022-11-23 01:21:47,968] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward 2022-11-23T01:30:35.0805215Z [2022-11-23 01:21:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4726 2022-11-23T01:30:35.0805887Z [2022-11-23 01:21:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.0806710Z [2022-11-23 01:21:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.0807581Z [2022-11-23 01:21:47,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.0808464Z [2022-11-23 01:21:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable()] 2022-11-23T01:30:35.0809299Z [2022-11-23 01:21:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TorchVariable(aten.squeeze)] 2022-11-23T01:30:35.0810158Z [2022-11-23 01:21:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.squeeze.dim)] 2022-11-23T01:30:35.0810891Z [2022-11-23 01:21:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.squeeze.dim), TensorVariable()] 2022-11-23T01:30:35.0811768Z [2022-11-23 01:21:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.squeeze.dim), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.0812552Z [2022-11-23 01:21:47,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.0813283Z [2022-11-23 01:21:47,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward 2022-11-23T01:30:35.0813984Z [2022-11-23 01:21:47,978] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.0814717Z [2022-11-23 01:21:47,980] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.0815278Z [2022-11-23 01:21:47,980] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.0815709Z __compiled_fn_2 .24 opcode, name, target, args, kwargs 2022-11-23T01:30:35.0816079Z placeholder, arg0_1, arg0_1, (), {} 2022-11-23T01:30:35.0816469Z call_function, squeeze_dim, aten.squeeze.dim, (arg0_1, 1), {} 2022-11-23T01:30:35.0816859Z output, output, output, ((squeeze_dim,),), {} 2022-11-23T01:30:35.0817083Z 2022-11-23T01:30:35.0817694Z [2022-11-23 01:21:47,980] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 2022-11-23T01:30:35.0818227Z 4726 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.0818539Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.0818838Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.0819156Z 6 LOAD_ATTR 3 (squeeze) 2022-11-23T01:30:35.0819467Z 8 LOAD_METHOD 4 (dim) 2022-11-23T01:30:35.0819775Z 10 LOAD_FAST 0 (arg0_1) 2022-11-23T01:30:35.0820104Z 12 LOAD_CONST 1 (1) 2022-11-23T01:30:35.0820416Z 14 CALL_METHOD 2 2022-11-23T01:30:35.0820684Z 16 RETURN_VALUE 2022-11-23T01:30:35.0820858Z 2022-11-23T01:30:35.0820953Z 2022-11-23T01:30:35.0821679Z [2022-11-23 01:21:47,981] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 2022-11-23T01:30:35.0822264Z 4724 0 LOAD_GLOBAL 5 (__compiled_fn_2) 2022-11-23T01:30:35.0822609Z 2 LOAD_FAST 0 (arg0_1) 2022-11-23T01:30:35.0822931Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.0823235Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.0823509Z 8 RETURN_VALUE 2022-11-23T01:30:35.0823666Z 2022-11-23T01:30:35.0823753Z 2022-11-23T01:30:35.0824145Z [2022-11-23 01:21:47,981] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.0824430Z - 2022-11-23T01:30:35.0824734Z local 'arg0_1' TENSOR_MATCH 2022-11-23T01:30:35.0824978Z { 2022-11-23T01:30:35.0825300Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.0825638Z 'code': None, 2022-11-23T01:30:35.0826102Z 'obj_weakref': 2022-11-23T01:30:35.0826685Z 'guarded_class': 2022-11-23T01:30:35.0827049Z } 2022-11-23T01:30:35.0827264Z 2022-11-23T01:30:35.0827475Z - 2022-11-23T01:30:35.0827795Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.0828084Z { 2022-11-23T01:30:35.0828410Z 'guard_types': None, 2022-11-23T01:30:35.0828778Z 'code': None, 2022-11-23T01:30:35.0829095Z 'obj_weakref': None 2022-11-23T01:30:35.0829551Z 'guarded_class': None 2022-11-23T01:30:35.0829858Z } 2022-11-23T01:30:35.0830135Z 2022-11-23T01:30:35.0830925Z [2022-11-23 01:21:47,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2 2022-11-23T01:30:35.0831961Z [2022-11-23 01:21:47,986] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnelpdaegliu6grtlzcahofdy5sb7fqkjnnenj7zpj6rfe5f4em5.py 2022-11-23T01:30:35.0832972Z [2022-11-23 01:21:47,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2 2022-11-23T01:30:35.0833337Z 2022-11-23T01:30:35.0833507Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0833840Z import torch 2022-11-23T01:30:35.0834143Z import random 2022-11-23T01:30:35.0834528Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0835069Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0835333Z 2022-11-23T01:30:35.0835471Z aten = torch.ops.aten 2022-11-23T01:30:35.0835914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0836361Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0836575Z 2022-11-23T01:30:35.0836603Z 2022-11-23T01:30:35.0836745Z async_compile.wait(globals()) 2022-11-23T01:30:35.0837091Z del async_compile 2022-11-23T01:30:35.0837282Z 2022-11-23T01:30:35.0837406Z def call(args): 2022-11-23T01:30:35.0837682Z arg0_1, = args 2022-11-23T01:30:35.0837979Z args.clear() 2022-11-23T01:30:35.0838283Z return (arg0_1, ) 2022-11-23T01:30:35.0838478Z 2022-11-23T01:30:35.0838485Z 2022-11-23T01:30:35.0838614Z if __name__ == "__main__": 2022-11-23T01:30:35.0838985Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0839457Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0840164Z arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0840566Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.0840770Z 2022-11-23T01:30:35.0840875Z ok (0.021s) 2022-11-23T01:30:35.0841502Z test_parallel_num_threads (__main__.CPUReproTests) ... [2022-11-23 01:21:48,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.0842332Z [2022-11-23 01:21:48,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4734 2022-11-23T01:30:35.0843086Z [2022-11-23 01:21:48,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [] 2022-11-23T01:30:35.0843815Z [2022-11-23 01:21:48,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TensorVariable()] 2022-11-23T01:30:35.0844646Z [2022-11-23 01:21:48,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.0845654Z [2022-11-23 01:21:48,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.0846287Z [2022-11-23 01:21:48,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.0846957Z [2022-11-23 01:21:48,006] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.0847652Z [2022-11-23 01:21:48,009] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.0848260Z [2022-11-23 01:21:48,009] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.0848704Z __compiled_fn_3 .30 opcode, name, target, args, kwargs 2022-11-23T01:30:35.0849036Z placeholder, x1, x1, (), {} 2022-11-23T01:30:35.0849288Z placeholder, x2, x2, (), {} 2022-11-23T01:30:35.0849721Z call_function, add, , (x1, x2), {} 2022-11-23T01:30:35.0850036Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.0850211Z 2022-11-23T01:30:35.0850677Z [2022-11-23 01:21:48,010] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 2022-11-23T01:30:35.0851273Z 4734 0 LOAD_FAST 0 (x1) 2022-11-23T01:30:35.0851574Z 2 LOAD_FAST 1 (x2) 2022-11-23T01:30:35.0851857Z 4 BINARY_ADD 2022-11-23T01:30:35.0852108Z 6 RETURN_VALUE 2022-11-23T01:30:35.0852270Z 2022-11-23T01:30:35.0852362Z 2022-11-23T01:30:35.0852982Z [2022-11-23 01:21:48,010] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 2022-11-23T01:30:35.0853469Z 4732 0 LOAD_GLOBAL 0 (__compiled_fn_3) 2022-11-23T01:30:35.0853765Z 2 LOAD_FAST 0 (x1) 2022-11-23T01:30:35.0854086Z 4 LOAD_FAST 1 (x2) 2022-11-23T01:30:35.0854406Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.0854820Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.0855149Z 10 RETURN_VALUE 2022-11-23T01:30:35.0855313Z 2022-11-23T01:30:35.0855391Z 2022-11-23T01:30:35.0855771Z [2022-11-23 01:21:48,010] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.0856075Z - 2022-11-23T01:30:35.0856405Z local 'x1' TENSOR_MATCH 2022-11-23T01:30:35.0856649Z { 2022-11-23T01:30:35.0856982Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.0857331Z 'code': None, 2022-11-23T01:30:35.0857784Z 'obj_weakref': 2022-11-23T01:30:35.0858382Z 'guarded_class': 2022-11-23T01:30:35.0858732Z } 2022-11-23T01:30:35.0858944Z 2022-11-23T01:30:35.0859180Z - 2022-11-23T01:30:35.0859543Z local 'x2' TENSOR_MATCH 2022-11-23T01:30:35.0859850Z { 2022-11-23T01:30:35.0860212Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.0860609Z 'code': None, 2022-11-23T01:30:35.0861145Z 'obj_weakref': 2022-11-23T01:30:35.0861829Z 'guarded_class': 2022-11-23T01:30:35.0862196Z } 2022-11-23T01:30:35.0862413Z 2022-11-23T01:30:35.0862911Z [2022-11-23 01:21:48,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3 2022-11-23T01:30:35.0863780Z [2022-11-23 01:21:49,438] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xy/cxybpivj5277dgxkvpdebtu6ue4yc6ss3qeo6zxlmcjuqwy4vyp2.py 2022-11-23T01:30:35.0864603Z [2022-11-23 01:21:49,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3 2022-11-23T01:30:35.0864891Z 2022-11-23T01:30:35.0865031Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0865278Z import torch 2022-11-23T01:30:35.0865512Z import random 2022-11-23T01:30:35.0865870Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0866264Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0866512Z 2022-11-23T01:30:35.0866628Z aten = torch.ops.aten 2022-11-23T01:30:35.0866979Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0867334Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0867508Z 2022-11-23T01:30:35.0867515Z 2022-11-23T01:30:35.0867738Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.0868248Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.0868772Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.0869144Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.0869465Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.0869749Z { 2022-11-23T01:30:35.0869994Z for(long i0=0; i0<25; i0+=1) 2022-11-23T01:30:35.0870293Z { 2022-11-23T01:30:35.0870792Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.0871293Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.0871695Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0872040Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.0872335Z } 2022-11-23T01:30:35.0872553Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.0872838Z for(long i0=200; i0<200; i0+=1) 2022-11-23T01:30:35.0873091Z { 2022-11-23T01:30:35.0873309Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.0873589Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.0873885Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.0874148Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.0874390Z } 2022-11-23T01:30:35.0874609Z } 2022-11-23T01:30:35.0874865Z ''') 2022-11-23T01:30:35.0875142Z 2022-11-23T01:30:35.0875150Z 2022-11-23T01:30:35.0875302Z async_compile.wait(globals()) 2022-11-23T01:30:35.0875602Z del async_compile 2022-11-23T01:30:35.0875766Z 2022-11-23T01:30:35.0875872Z def call(args): 2022-11-23T01:30:35.0876160Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.0876466Z args.clear() 2022-11-23T01:30:35.0877029Z buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0877554Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.0877984Z del arg0_1 2022-11-23T01:30:35.0878232Z del arg1_1 2022-11-23T01:30:35.0878459Z return (buf0, ) 2022-11-23T01:30:35.0878621Z 2022-11-23T01:30:35.0878629Z 2022-11-23T01:30:35.0878735Z if __name__ == "__main__": 2022-11-23T01:30:35.0879104Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.0879491Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.0880189Z arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0880720Z arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.0881133Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.0881360Z 2022-11-23T01:30:35.0881470Z ok (1.474s) 2022-11-23T01:30:35.0882204Z test_sign_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:21:49,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:30:35.0883137Z [2022-11-23 01:21:50,948] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rc/crc2oymslyccsf46u2f55lcalhetkqapfdj46tvazbqoiyvh45uc.py 2022-11-23T01:30:35.0883923Z [2022-11-23 01:21:50,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.0884208Z 2022-11-23T01:30:35.0884357Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.0884636Z import torch 2022-11-23T01:30:35.0885050Z import random 2022-11-23T01:30:35.0885351Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.0885766Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.0886037Z 2022-11-23T01:30:35.0886153Z aten = torch.ops.aten 2022-11-23T01:30:35.0886563Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.0886981Z async_compile = AsyncCompile() 2022-11-23T01:30:35.0887196Z 2022-11-23T01:30:35.0887202Z 2022-11-23T01:30:35.0887425Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.0887958Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.0888450Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.0888814Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.0889114Z { 2022-11-23T01:30:35.0889375Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1035932Z { 2022-11-23T01:30:35.1036285Z #pragma omp for 2022-11-23T01:30:35.1036630Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.1036908Z { 2022-11-23T01:30:35.1037569Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.1038153Z auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0); 2022-11-23T01:30:35.1038778Z auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0)); 2022-11-23T01:30:35.1039392Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:35.1039745Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.1040145Z } 2022-11-23T01:30:35.1040453Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1040812Z for(long i0=16; i0<18; i0+=1) 2022-11-23T01:30:35.1041101Z { 2022-11-23T01:30:35.1041386Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.1041733Z auto tmp1 = tmp0 > 0 ? 1 : 0; 2022-11-23T01:30:35.1042077Z auto tmp2 = tmp0 < 0 ? 1 : 0; 2022-11-23T01:30:35.1042603Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:35.1042926Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.1043213Z } 2022-11-23T01:30:35.1043472Z } 2022-11-23T01:30:35.1043713Z } 2022-11-23T01:30:35.1043988Z ''') 2022-11-23T01:30:35.1044151Z 2022-11-23T01:30:35.1044159Z 2022-11-23T01:30:35.1044309Z async_compile.wait(globals()) 2022-11-23T01:30:35.1044631Z del async_compile 2022-11-23T01:30:35.1183319Z 2022-11-23T01:30:35.1183471Z def call(args): 2022-11-23T01:30:35.1183670Z x_1, = args 2022-11-23T01:30:35.1183829Z args.clear() 2022-11-23T01:30:35.1184226Z buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1184519Z kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.1184730Z del x_1 2022-11-23T01:30:35.1184904Z return (buf0, ) 2022-11-23T01:30:35.1185012Z 2022-11-23T01:30:35.1185017Z 2022-11-23T01:30:35.1185093Z if __name__ == "__main__": 2022-11-23T01:30:35.1185324Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1185681Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1186249Z x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1186663Z print_performance(lambda: call([x_1])) 2022-11-23T01:30:35.1186871Z 2022-11-23T01:30:35.1186955Z ok (1.488s) 2022-11-23T01:30:35.1187276Z test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.002s) 2022-11-23T01:30:35.1188055Z test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.1188923Z [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4783 2022-11-23T01:30:35.1189604Z [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.1190445Z [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable()] 2022-11-23T01:30:35.1191376Z [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.1192318Z [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.1193340Z [2022-11-23 01:21:50,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.1194162Z [2022-11-23 01:21:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.1194823Z [2022-11-23 01:21:50,988] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.1195728Z [2022-11-23 01:21:50,989] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.1196384Z [2022-11-23 01:21:50,993] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.1196954Z [2022-11-23 01:21:50,993] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1197409Z __compiled_fn_4 .37 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1197782Z placeholder, x, x, (), {} 2022-11-23T01:30:35.1198311Z call_function, softmax, , (x, -1), {} 2022-11-23T01:30:35.1198737Z output, output, output, ((softmax,),), {} 2022-11-23T01:30:35.1198935Z 2022-11-23T01:30:35.1199473Z [2022-11-23 01:21:50,993] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 2022-11-23T01:30:35.1200131Z 4783 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.1200459Z 2 LOAD_METHOD 1 (softmax) 2022-11-23T01:30:35.1200786Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1201184Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:30:35.1201488Z 8 CALL_METHOD 2 2022-11-23T01:30:35.1201779Z 10 RETURN_VALUE 2022-11-23T01:30:35.1201951Z 2022-11-23T01:30:35.1202044Z 2022-11-23T01:30:35.1202679Z [2022-11-23 01:21:50,994] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 2022-11-23T01:30:35.1203187Z 4782 0 LOAD_GLOBAL 2 (__compiled_fn_4) 2022-11-23T01:30:35.1203529Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1203826Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.1204157Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.1204455Z 8 RETURN_VALUE 2022-11-23T01:30:35.1204627Z 2022-11-23T01:30:35.1204718Z 2022-11-23T01:30:35.1205293Z [2022-11-23 01:21:50,994] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1205631Z - 2022-11-23T01:30:35.1206014Z 'symbolic_shape_expression' SYMBOL_MATCH 2022-11-23T01:30:35.1206293Z { 2022-11-23T01:30:35.1206623Z 'guard_types': None, 2022-11-23T01:30:35.1207085Z 'code': (Eq(x.stride()[0], 10) and x.stride()[0] == x.size()[1]), 2022-11-23T01:30:35.1207491Z 'obj_weakref': None 2022-11-23T01:30:35.1207856Z 'guarded_class': None 2022-11-23T01:30:35.1208124Z } 2022-11-23T01:30:35.1208353Z 2022-11-23T01:30:35.1208597Z - 2022-11-23T01:30:35.1208919Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.1209179Z { 2022-11-23T01:30:35.1209534Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1209890Z 'code': None, 2022-11-23T01:30:35.1210372Z 'obj_weakref': 2022-11-23T01:30:35.1211043Z 'guarded_class': 2022-11-23T01:30:35.1211423Z } 2022-11-23T01:30:35.1211653Z 2022-11-23T01:30:35.1211884Z - 2022-11-23T01:30:35.1212223Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.1212516Z { 2022-11-23T01:30:35.1212833Z 'guard_types': None, 2022-11-23T01:30:35.1213167Z 'code': None, 2022-11-23T01:30:35.1213523Z 'obj_weakref': None 2022-11-23T01:30:35.1213869Z 'guarded_class': None 2022-11-23T01:30:35.1214157Z } 2022-11-23T01:30:35.1214406Z 2022-11-23T01:30:35.1214971Z [2022-11-23 01:21:51,027] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4 2022-11-23T01:30:35.1215855Z [2022-11-23 01:21:52,474] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6avvcuofqelbnzcu5oiw3cvohqlen7o754o73zvp4yjhs5apow4.py 2022-11-23T01:30:35.1216815Z [2022-11-23 01:21:52,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4 2022-11-23T01:30:35.1217134Z 2022-11-23T01:30:35.1217289Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1217576Z import torch 2022-11-23T01:30:35.1217847Z import random 2022-11-23T01:30:35.1218206Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1218617Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1218864Z 2022-11-23T01:30:35.1218990Z aten = torch.ops.aten 2022-11-23T01:30:35.1219367Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1219743Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1219938Z 2022-11-23T01:30:35.1219944Z 2022-11-23T01:30:35.1220161Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1220674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1221265Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.1221632Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1221995Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.1222343Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.1222637Z const long ks0, 2022-11-23T01:30:35.1222941Z const long ks1) 2022-11-23T01:30:35.1223206Z { 2022-11-23T01:30:35.1223449Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:35.1223783Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1224071Z { 2022-11-23T01:30:35.1224302Z #pragma omp for 2022-11-23T01:30:35.1224602Z for(long i0=0; i0::infinity(); 2022-11-23T01:30:35.1226284Z for(long i1=0; i10); 2022-11-23T01:30:35.1253446Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:30:35.1253583Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:30:35.1253732Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:30:35.1253870Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:30:35.1254079Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:30:35.1254215Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:30:35.1254346Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:30:35.1254458Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:30:35.1254591Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:30:35.1254722Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:30:35.1254854Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:30:35.1254991Z auto tmp20 = std::log(tmp19); 2022-11-23T01:30:35.1255138Z auto tmp21 = std::floor(tmp20); 2022-11-23T01:30:35.1255281Z auto tmp22 = std::ceil(tmp21); 2022-11-23T01:30:35.1255425Z auto tmp23 = std::trunc(tmp22); 2022-11-23T01:30:35.1255559Z auto tmp24 = std::lgamma(tmp23); 2022-11-23T01:30:35.1255716Z auto tmp25 = std::fmod(tmp24, tmp12); 2022-11-23T01:30:35.1255853Z auto tmp26 = tmp25 > 0 ? 1 : 0; 2022-11-23T01:30:35.1255986Z auto tmp27 = tmp25 < 0 ? 1 : 0; 2022-11-23T01:30:35.1256196Z auto tmp28 = tmp26 - tmp27; 2022-11-23T01:30:35.1256328Z auto tmp29 = tmp28 + tmp12; 2022-11-23T01:30:35.1256463Z in_out_ptr0[i0] = tmp29; 2022-11-23T01:30:35.1256546Z } 2022-11-23T01:30:35.1256643Z } 2022-11-23T01:30:35.1256732Z } 2022-11-23T01:30:35.1256822Z } 2022-11-23T01:30:35.1256909Z } 2022-11-23T01:30:35.1257029Z ''') 2022-11-23T01:30:35.1257036Z 2022-11-23T01:30:35.1257046Z 2022-11-23T01:30:35.1257181Z async_compile.wait(globals()) 2022-11-23T01:30:35.1257273Z del async_compile 2022-11-23T01:30:35.1257297Z 2022-11-23T01:30:35.1257384Z def call(args): 2022-11-23T01:30:35.1257489Z x1_1, x2_1 = args 2022-11-23T01:30:35.1257596Z args.clear() 2022-11-23T01:30:35.1257897Z buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1258075Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.1258313Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:30:35.1258426Z del x1_1 2022-11-23T01:30:35.1258504Z del x2_1 2022-11-23T01:30:35.1258611Z return (buf1, ) 2022-11-23T01:30:35.1258618Z 2022-11-23T01:30:35.1258625Z 2022-11-23T01:30:35.1258733Z if __name__ == "__main__": 2022-11-23T01:30:35.1258897Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1259078Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1259403Z x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1259707Z x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1259926Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:30:35.1259933Z 2022-11-23T01:30:35.1259940Z 2022-11-23T01:30:35.1260065Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1260174Z import torch 2022-11-23T01:30:35.1260277Z import random 2022-11-23T01:30:35.1260444Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1260630Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1260635Z 2022-11-23T01:30:35.1260749Z aten = torch.ops.aten 2022-11-23T01:30:35.1260950Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1261080Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1261087Z 2022-11-23T01:30:35.1261093Z 2022-11-23T01:30:35.1261272Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1261566Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1261731Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.1261894Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1262048Z const float* __restrict__ in_ptr1) 2022-11-23T01:30:35.1262142Z { 2022-11-23T01:30:35.1262295Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1262385Z { 2022-11-23T01:30:35.1262480Z #pragma omp for 2022-11-23T01:30:35.1262604Z for(long i0=0; i0<25; i0+=1) 2022-11-23T01:30:35.1262695Z { 2022-11-23T01:30:35.1262894Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.1263087Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.1263207Z auto tmp1 = tmp0.abs(); 2022-11-23T01:30:35.1263325Z auto tmp2 = tmp1.sin(); 2022-11-23T01:30:35.1263426Z auto tmp3 = tmp2.neg(); 2022-11-23T01:30:35.1263543Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:35.1263734Z auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp()); 2022-11-23T01:30:35.1263926Z auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0)); 2022-11-23T01:30:35.1264050Z auto tmp7 = tmp6.cos(); 2022-11-23T01:30:35.1264173Z auto tmp8 = tmp7.exp(); 2022-11-23T01:30:35.1264296Z auto tmp9 = tmp8.sqrt(); 2022-11-23T01:30:35.1264417Z auto tmp10 = tmp9 + tmp0; 2022-11-23T01:30:35.1264592Z auto tmp12 = tmp10 - tmp11; 2022-11-23T01:30:35.1264717Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:30:35.1264846Z auto tmp14 = tmp13 / tmp0; 2022-11-23T01:30:35.1264969Z auto tmp15 = tmp14 * tmp14; 2022-11-23T01:30:35.1265093Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:30:35.1265221Z auto tmp17 = tmp16 * tmp14; 2022-11-23T01:30:35.1265344Z auto tmp18 = tmp17 * tmp17; 2022-11-23T01:30:35.1265454Z auto tmp19 = tmp18.log(); 2022-11-23T01:30:35.1265585Z auto tmp20 = tmp19.floor(); 2022-11-23T01:30:35.1265719Z auto tmp21 = tmp20.ceil(); 2022-11-23T01:30:35.1265846Z auto tmp22 = tmp21.trunc(); 2022-11-23T01:30:35.1265975Z auto tmp23 = tmp22.lgamma(); 2022-11-23T01:30:35.1266162Z auto tmp24 = tmp23.fmod(tmp11); 2022-11-23T01:30:35.1266421Z auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24); 2022-11-23T01:30:35.1266669Z auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0)); 2022-11-23T01:30:35.1266844Z auto tmp27 = tmp25 - tmp26; 2022-11-23T01:30:35.1266966Z auto tmp28 = tmp27 + tmp11; 2022-11-23T01:30:35.1267116Z tmp28.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.1267205Z } 2022-11-23T01:30:35.1267345Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1267466Z for(long i0=200; i0<200; i0+=1) 2022-11-23T01:30:35.1267554Z { 2022-11-23T01:30:35.1267663Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.1267832Z auto tmp12 = in_ptr1[i0]; 2022-11-23T01:30:35.1267965Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:30:35.1268095Z auto tmp2 = std::sin(tmp1); 2022-11-23T01:30:35.1268267Z auto tmp3 = -tmp2; 2022-11-23T01:30:35.1268395Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:35.1268599Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:30:35.1268700Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:30:35.1268827Z auto tmp7 = tmp6 * (tmp6>0); 2022-11-23T01:30:35.1268951Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:30:35.1269087Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:30:35.1269225Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:30:35.1269352Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:30:35.1269552Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:30:35.1269656Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:30:35.1269776Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:30:35.1269907Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:30:35.1270033Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:30:35.1270160Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:30:35.1270287Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:30:35.1270420Z auto tmp20 = std::log(tmp19); 2022-11-23T01:30:35.1270546Z auto tmp21 = std::floor(tmp20); 2022-11-23T01:30:35.1270691Z auto tmp22 = std::ceil(tmp21); 2022-11-23T01:30:35.1270840Z auto tmp23 = std::trunc(tmp22); 2022-11-23T01:30:35.1270978Z auto tmp24 = std::lgamma(tmp23); 2022-11-23T01:30:35.1271128Z auto tmp25 = std::fmod(tmp24, tmp12); 2022-11-23T01:30:35.1271259Z auto tmp26 = tmp25 > 0 ? 1 : 0; 2022-11-23T01:30:35.1271388Z auto tmp27 = tmp25 < 0 ? 1 : 0; 2022-11-23T01:30:35.1271574Z auto tmp28 = tmp26 - tmp27; 2022-11-23T01:30:35.1271679Z auto tmp29 = tmp28 + tmp12; 2022-11-23T01:30:35.1271799Z in_out_ptr0[i0] = tmp29; 2022-11-23T01:30:35.1271886Z } 2022-11-23T01:30:35.1271976Z } 2022-11-23T01:30:35.1272063Z } 2022-11-23T01:30:35.1272174Z ''') 2022-11-23T01:30:35.1272185Z 2022-11-23T01:30:35.1272191Z 2022-11-23T01:30:35.1272318Z async_compile.wait(globals()) 2022-11-23T01:30:35.1272403Z del async_compile 2022-11-23T01:30:35.1272410Z 2022-11-23T01:30:35.1272506Z def call(args): 2022-11-23T01:30:35.1272601Z x1_1, x2_1 = args 2022-11-23T01:30:35.1272699Z args.clear() 2022-11-23T01:30:35.1272995Z buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1273115Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.1273348Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:30:35.1273426Z del x1_1 2022-11-23T01:30:35.1273517Z del x2_1 2022-11-23T01:30:35.1273622Z return (buf1, ) 2022-11-23T01:30:35.1273630Z 2022-11-23T01:30:35.1273639Z 2022-11-23T01:30:35.1273749Z if __name__ == "__main__": 2022-11-23T01:30:35.1273913Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1274171Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1274457Z x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1274741Z x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1274882Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:30:35.1274907Z 2022-11-23T01:30:35.1275443Z [2022-11-23 01:21:56,148] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oz/cozmb7vkk56pxqvoptmemleovywere5sxn2ffqnnzpdwmfiyzend.py 2022-11-23T01:30:35.1275838Z [2022-11-23 01:21:56,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.1276219Z [2022-11-23 01:21:56,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:30:35.1276279Z 2022-11-23T01:30:35.1276421Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1276518Z import torch 2022-11-23T01:30:35.1276617Z import random 2022-11-23T01:30:35.1276789Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1276965Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1276972Z 2022-11-23T01:30:35.1277070Z aten = torch.ops.aten 2022-11-23T01:30:35.1277279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1277415Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1277422Z 2022-11-23T01:30:35.1277429Z 2022-11-23T01:30:35.1277631Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1277925Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1278092Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.1278249Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1278408Z const float* __restrict__ in_ptr1) 2022-11-23T01:30:35.1278480Z { 2022-11-23T01:30:35.1278610Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:30:35.1278758Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1278854Z { 2022-11-23T01:30:35.1278971Z #pragma omp for 2022-11-23T01:30:35.1279095Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:30:35.1279193Z { 2022-11-23T01:30:35.1279294Z #pragma GCC ivdep 2022-11-23T01:30:35.1279415Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:35.1279506Z { 2022-11-23T01:30:35.1279602Z { 2022-11-23T01:30:35.1279697Z { 2022-11-23T01:30:35.1279846Z auto tmp0 = in_ptr0[i0 + (20*i1)]; 2022-11-23T01:30:35.1280056Z auto tmp12 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:35.1280184Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:30:35.1280322Z auto tmp2 = std::sin(tmp1); 2022-11-23T01:30:35.1280522Z auto tmp3 = -tmp2; 2022-11-23T01:30:35.1280654Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:35.1280878Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:30:35.1281009Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:30:35.1281141Z auto tmp7 = tmp6 * (tmp6>0); 2022-11-23T01:30:35.1281280Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:30:35.1281407Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:30:35.1281549Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:30:35.1281681Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:30:35.1281884Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:30:35.1282013Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:30:35.1282145Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:30:35.1282273Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:30:35.1282387Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:30:35.1282519Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:30:35.1282699Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:30:35.1282835Z out_ptr0[i1 + (10*i0)] = tmp19; 2022-11-23T01:30:35.1282932Z } 2022-11-23T01:30:35.1283022Z } 2022-11-23T01:30:35.1283113Z } 2022-11-23T01:30:35.1283189Z } 2022-11-23T01:30:35.1283304Z #pragma omp for 2022-11-23T01:30:35.1283428Z for(long i0=0; i0<25; i0+=1) 2022-11-23T01:30:35.1283522Z { 2022-11-23T01:30:35.1283716Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:30:35.1283910Z auto tmp6 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.1284035Z auto tmp1 = tmp0.log(); 2022-11-23T01:30:35.1284164Z auto tmp2 = tmp1.floor(); 2022-11-23T01:30:35.1284334Z auto tmp3 = tmp2.ceil(); 2022-11-23T01:30:35.1284459Z auto tmp4 = tmp3.trunc(); 2022-11-23T01:30:35.1284594Z auto tmp5 = tmp4.lgamma(); 2022-11-23T01:30:35.1284835Z auto tmp7 = tmp5.fmod(tmp6); 2022-11-23T01:30:35.1285112Z auto tmp8 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), decltype(tmp7)(0) < tmp7); 2022-11-23T01:30:35.1285383Z auto tmp9 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), tmp7 < decltype(tmp7)(0)); 2022-11-23T01:30:35.1285582Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:30:35.1285706Z auto tmp11 = tmp10 + tmp6; 2022-11-23T01:30:35.1285830Z tmp11.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.1285919Z } 2022-11-23T01:30:35.1286062Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1286179Z for(long i0=200; i0<200; i0+=1) 2022-11-23T01:30:35.1286270Z { 2022-11-23T01:30:35.1286391Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:35.1286515Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.1286631Z auto tmp1 = std::log(tmp0); 2022-11-23T01:30:35.1286769Z auto tmp2 = std::floor(tmp1); 2022-11-23T01:30:35.1286903Z auto tmp3 = std::ceil(tmp2); 2022-11-23T01:30:35.1287034Z auto tmp4 = std::trunc(tmp3); 2022-11-23T01:30:35.1287169Z auto tmp5 = std::lgamma(tmp4); 2022-11-23T01:30:35.1287315Z auto tmp7 = std::fmod(tmp5, tmp6); 2022-11-23T01:30:35.1287436Z auto tmp8 = tmp7 > 0 ? 1 : 0; 2022-11-23T01:30:35.1287543Z auto tmp9 = tmp7 < 0 ? 1 : 0; 2022-11-23T01:30:35.1287726Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:30:35.1287921Z auto tmp11 = tmp10 + tmp6; 2022-11-23T01:30:35.1288084Z in_out_ptr0[i0] = tmp11; 2022-11-23T01:30:35.1288236Z } 2022-11-23T01:30:35.1288409Z } 2022-11-23T01:30:35.1288621Z } 2022-11-23T01:30:35.1288720Z ''') 2022-11-23T01:30:35.1288731Z 2022-11-23T01:30:35.1288738Z 2022-11-23T01:30:35.1288929Z async_compile.wait(globals()) 2022-11-23T01:30:35.1289074Z del async_compile 2022-11-23T01:30:35.1289082Z 2022-11-23T01:30:35.1289227Z def call(args): 2022-11-23T01:30:35.1289705Z x1_1, x2_1 = args 2022-11-23T01:30:35.1289892Z args.clear() 2022-11-23T01:30:35.1290404Z buf0 = empty_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1290629Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.1290843Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:30:35.1291141Z del x1_1 2022-11-23T01:30:35.1291463Z del x2_1 2022-11-23T01:30:35.1291631Z return (buf1, ) 2022-11-23T01:30:35.1291639Z 2022-11-23T01:30:35.1291644Z 2022-11-23T01:30:35.1291788Z if __name__ == "__main__": 2022-11-23T01:30:35.1292129Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1292399Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1292812Z x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1293284Z x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1293609Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:30:35.1293618Z 2022-11-23T01:30:35.1295120Z [2022-11-23 01:21:57,670] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sh/cshldht2iokisx64xdqpd4jl6wwqa4xgflju6zamfmyjdazaszzj.py 2022-11-23T01:30:35.1299183Z [2022-11-23 01:21:57,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.1299195Z 2022-11-23T01:30:35.1299379Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1299659Z import torch 2022-11-23T01:30:35.1299817Z import random 2022-11-23T01:30:35.1300027Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1300194Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1300422Z 2022-11-23T01:30:35.1300594Z aten = torch.ops.aten 2022-11-23T01:30:35.1300832Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1301458Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1301467Z 2022-11-23T01:30:35.1301472Z 2022-11-23T01:30:35.1301784Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1302284Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1302492Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.1302718Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1303061Z const float* __restrict__ in_ptr1) 2022-11-23T01:30:35.1303369Z { 2022-11-23T01:30:35.1303559Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1303811Z { 2022-11-23T01:30:35.1303980Z #pragma omp for 2022-11-23T01:30:35.1304177Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.1304350Z { 2022-11-23T01:30:35.1304678Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.1304933Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.1305098Z auto tmp1 = tmp0.abs(); 2022-11-23T01:30:35.1305490Z auto tmp2 = tmp1.sin(); 2022-11-23T01:30:35.1305686Z auto tmp3 = tmp2.neg(); 2022-11-23T01:30:35.1305844Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:35.1306230Z auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp()); 2022-11-23T01:30:35.1306462Z auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0)); 2022-11-23T01:30:35.1306568Z auto tmp7 = tmp6.cos(); 2022-11-23T01:30:35.1306726Z auto tmp8 = tmp7.exp(); 2022-11-23T01:30:35.1307049Z auto tmp9 = tmp8.sqrt(); 2022-11-23T01:30:35.1307211Z auto tmp10 = tmp9 + tmp0; 2022-11-23T01:30:35.1307457Z auto tmp12 = tmp10 - tmp11; 2022-11-23T01:30:35.1307745Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:30:35.1307922Z auto tmp14 = tmp13 / tmp0; 2022-11-23T01:30:35.1308040Z auto tmp15 = tmp14 * tmp14; 2022-11-23T01:30:35.1308202Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:30:35.1308484Z auto tmp17 = tmp16 * tmp14; 2022-11-23T01:30:35.1308652Z auto tmp18 = tmp17 * tmp17; 2022-11-23T01:30:35.1308815Z auto tmp19 = tmp18.log(); 2022-11-23T01:30:35.1308978Z auto tmp20 = tmp19.floor(); 2022-11-23T01:30:35.1309264Z auto tmp21 = tmp20.ceil(); 2022-11-23T01:30:35.1309381Z auto tmp22 = tmp21.trunc(); 2022-11-23T01:30:35.1309602Z auto tmp23 = tmp22.lgamma(); 2022-11-23T01:30:35.1309777Z auto tmp24 = tmp23.fmod(tmp11); 2022-11-23T01:30:35.1310194Z auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24); 2022-11-23T01:30:35.1310492Z auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0)); 2022-11-23T01:30:35.1311042Z auto tmp27 = tmp25 - tmp26; 2022-11-23T01:30:35.1311321Z auto tmp28 = tmp27 + tmp11; 2022-11-23T01:30:35.1311631Z tmp28.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.1311718Z } 2022-11-23T01:30:35.1311913Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1312404Z for(long i0=64; i0<70; i0+=1) 2022-11-23T01:30:35.1312547Z { 2022-11-23T01:30:35.1312731Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.1312920Z auto tmp12 = in_ptr1[i0]; 2022-11-23T01:30:35.1313228Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:30:35.1313347Z auto tmp2 = std::sin(tmp1); 2022-11-23T01:30:35.1313566Z auto tmp3 = -tmp2; 2022-11-23T01:30:35.1313725Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:35.1314099Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:30:35.1314249Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:30:35.1314499Z auto tmp7 = tmp6 * (tmp6>0); 2022-11-23T01:30:35.1314850Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:30:35.1314972Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:30:35.1315154Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:30:35.1315428Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:30:35.1315777Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:30:35.1315933Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:30:35.1316256Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:30:35.1316413Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:30:35.1316591Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:30:35.1316697Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:30:35.1316985Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:30:35.1317186Z auto tmp20 = std::log(tmp19); 2022-11-23T01:30:35.1317368Z auto tmp21 = std::floor(tmp20); 2022-11-23T01:30:35.1317536Z auto tmp22 = std::ceil(tmp21); 2022-11-23T01:30:35.1317832Z auto tmp23 = std::trunc(tmp22); 2022-11-23T01:30:35.1318016Z auto tmp24 = std::lgamma(tmp23); 2022-11-23T01:30:35.1318157Z auto tmp25 = std::fmod(tmp24, tmp12); 2022-11-23T01:30:35.1318350Z auto tmp26 = tmp25 > 0 ? 1 : 0; 2022-11-23T01:30:35.1318655Z auto tmp27 = tmp25 < 0 ? 1 : 0; 2022-11-23T01:30:35.1318931Z auto tmp28 = tmp26 - tmp27; 2022-11-23T01:30:35.1319098Z auto tmp29 = tmp28 + tmp12; 2022-11-23T01:30:35.1319380Z in_out_ptr0[i0] = tmp29; 2022-11-23T01:30:35.1319528Z } 2022-11-23T01:30:35.1319600Z } 2022-11-23T01:30:35.1319722Z } 2022-11-23T01:30:35.1320062Z ''') 2022-11-23T01:30:35.1320072Z 2022-11-23T01:30:35.1320078Z 2022-11-23T01:30:35.1320259Z async_compile.wait(globals()) 2022-11-23T01:30:35.1320460Z del async_compile 2022-11-23T01:30:35.1320468Z 2022-11-23T01:30:35.1320606Z def call(args): 2022-11-23T01:30:35.1320763Z x1_1, x2_1 = args 2022-11-23T01:30:35.1320932Z args.clear() 2022-11-23T01:30:35.1321234Z buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1321421Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.1321690Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:30:35.1321845Z del x1_1 2022-11-23T01:30:35.1321971Z del x2_1 2022-11-23T01:30:35.1322134Z return (buf1, ) 2022-11-23T01:30:35.1322142Z 2022-11-23T01:30:35.1322149Z 2022-11-23T01:30:35.1322343Z if __name__ == "__main__": 2022-11-23T01:30:35.1322494Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1322718Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1323048Z x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1323374Z x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1323577Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:30:35.1323588Z 2022-11-23T01:30:35.1323738Z ok (5.196s) 2022-11-23T01:30:35.1324424Z test_abs_cpu (__main__.CpuTests) ... [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.1325395Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.1325797Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.1326473Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.1326957Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.1327751Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1328542Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1329128Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1329749Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.1329956Z 665 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.1330170Z 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.1330358Z 4 LOAD_METHOD 1 (abs) 2022-11-23T01:30:35.1330528Z 6 LOAD_FAST 0 (a) 2022-11-23T01:30:35.1330643Z 8 CALL_METHOD 1 2022-11-23T01:30:35.1330824Z 10 LOAD_CONST 1 (1) 2022-11-23T01:30:35.1330966Z 12 BINARY_ADD 2022-11-23T01:30:35.1331153Z 14 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.1331316Z 16 BUILD_TUPLE 1 2022-11-23T01:30:35.1331473Z 18 RETURN_VALUE 2022-11-23T01:30:35.1331596Z 2022-11-23T01:30:35.1331604Z 2022-11-23T01:30:35.1332064Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:665 2022-11-23T01:30:35.1332438Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.1332858Z [2022-11-23 01:21:57,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.1333497Z [2022-11-23 01:21:57,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.1334095Z [2022-11-23 01:21:57,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.1334706Z [2022-11-23 01:21:57,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.1335145Z [2022-11-23 01:21:57,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.1335699Z [2022-11-23 01:21:57,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.1336195Z [2022-11-23 01:21:57,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.1336623Z [2022-11-23 01:21:57,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.1337055Z [2022-11-23 01:21:57,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1337678Z [2022-11-23 01:21:57,681] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.1338091Z [2022-11-23 01:21:57,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1338494Z [2022-11-23 01:21:57,681] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.1338923Z [2022-11-23 01:21:57,682] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.1339328Z [2022-11-23 01:21:57,685] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.1339664Z [2022-11-23 01:21:57,686] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1339936Z __compiled_fn_5 .47 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1340099Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.1340474Z call_function, abs_1, , (ex_0_,), {} 2022-11-23T01:30:35.1340715Z call_function, add, , (abs_1, 1), {} 2022-11-23T01:30:35.1341025Z call_function, truediv, , (ex_0_, add), {} 2022-11-23T01:30:35.1341198Z output, output, output, ((truediv,),), {} 2022-11-23T01:30:35.1341207Z 2022-11-23T01:30:35.1341773Z [2022-11-23 01:21:57,686] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1341993Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.1342167Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1342322Z 4 BUILD_MAP 0 2022-11-23T01:30:35.1342494Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.1342602Z 8 DICT_MERGE 1 2022-11-23T01:30:35.1342764Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.1342905Z 12 RETURN_VALUE 2022-11-23T01:30:35.1342912Z 2022-11-23T01:30:35.1343033Z 2022-11-23T01:30:35.1343571Z [2022-11-23 01:21:57,686] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1343774Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_5) 2022-11-23T01:30:35.1343937Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1344098Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1344199Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.1344360Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.1344541Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1344756Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1344922Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1345101Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.1345270Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.1345364Z 20 RETURN_VALUE 2022-11-23T01:30:35.1345370Z 2022-11-23T01:30:35.1345491Z 2022-11-23T01:30:35.1345801Z [2022-11-23 01:21:57,687] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1345937Z - 2022-11-23T01:30:35.1346148Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.1346313Z { 2022-11-23T01:30:35.1346557Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.1346838Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.1347049Z 'obj_weakref': None 2022-11-23T01:30:35.1347427Z 'guarded_class': 2022-11-23T01:30:35.1347563Z } 2022-11-23T01:30:35.1347689Z 2022-11-23T01:30:35.1347819Z - 2022-11-23T01:30:35.1348188Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.1348321Z { 2022-11-23T01:30:35.1348603Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1348854Z 'code': None, 2022-11-23T01:30:35.1349229Z 'obj_weakref': 2022-11-23T01:30:35.1349656Z 'guarded_class': 2022-11-23T01:30:35.1349784Z } 2022-11-23T01:30:35.1349925Z 2022-11-23T01:30:35.1350007Z - 2022-11-23T01:30:35.1350235Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.1350356Z { 2022-11-23T01:30:35.1350586Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.1350877Z 'code': ['___check_obj_id(model, 140534660108144)'], 2022-11-23T01:30:35.1351163Z 'obj_weakref': None 2022-11-23T01:30:35.1351555Z 'guarded_class': 2022-11-23T01:30:35.1351701Z } 2022-11-23T01:30:35.1351777Z 2022-11-23T01:30:35.1351909Z - 2022-11-23T01:30:35.1352131Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.1352253Z { 2022-11-23T01:30:35.1352557Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.1352930Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.1353090Z 'obj_weakref': None 2022-11-23T01:30:35.1353488Z 'guarded_class': 2022-11-23T01:30:35.1353615Z } 2022-11-23T01:30:35.1353745Z 2022-11-23T01:30:35.1353906Z - 2022-11-23T01:30:35.1354135Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.1354263Z { 2022-11-23T01:30:35.1354427Z 'guard_types': None, 2022-11-23T01:30:35.1354627Z 'code': None, 2022-11-23T01:30:35.1354869Z 'obj_weakref': None 2022-11-23T01:30:35.1355108Z 'guarded_class': None 2022-11-23T01:30:35.1355235Z } 2022-11-23T01:30:35.1355363Z 2022-11-23T01:30:35.1355794Z [2022-11-23 01:21:57,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5 2022-11-23T01:30:35.1356401Z [2022-11-23 01:21:59,153] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ez/cezroid4btpzrzt67mtoynfaungiqew3x64gi3647z7zh3xzvtfo.py 2022-11-23T01:30:35.1356791Z [2022-11-23 01:21:59,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5 2022-11-23T01:30:35.1356799Z 2022-11-23T01:30:35.1357014Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1357158Z import torch 2022-11-23T01:30:35.1357292Z import random 2022-11-23T01:30:35.1357528Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1357754Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1357761Z 2022-11-23T01:30:35.1357908Z aten = torch.ops.aten 2022-11-23T01:30:35.1358143Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1358268Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1358275Z 2022-11-23T01:30:35.1358281Z 2022-11-23T01:30:35.1358517Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1358864Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1359073Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1359249Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.1359395Z { 2022-11-23T01:30:35.1359575Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1359651Z { 2022-11-23T01:30:35.1359823Z #pragma omp for 2022-11-23T01:30:35.1360047Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.1360233Z { 2022-11-23T01:30:35.1360479Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.1360697Z auto tmp1 = tmp0.abs(); 2022-11-23T01:30:35.1360943Z auto tmp2 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.1361105Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.1361212Z auto tmp4 = tmp0 / tmp3; 2022-11-23T01:30:35.1361386Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.1361544Z } 2022-11-23T01:30:35.1361728Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1361910Z for(long i0=16; i0<17; i0+=1) 2022-11-23T01:30:35.1362066Z { 2022-11-23T01:30:35.1362246Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.1362362Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:30:35.1362581Z auto tmp2 = static_cast(1); 2022-11-23T01:30:35.1362739Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.1363006Z auto tmp4 = tmp0 / tmp3; 2022-11-23T01:30:35.1363167Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.1363291Z } 2022-11-23T01:30:35.1363417Z } 2022-11-23T01:30:35.1363491Z } 2022-11-23T01:30:35.1363646Z ''') 2022-11-23T01:30:35.1363654Z 2022-11-23T01:30:35.1363660Z 2022-11-23T01:30:35.1363844Z async_compile.wait(globals()) 2022-11-23T01:30:35.1364007Z del async_compile 2022-11-23T01:30:35.1364015Z 2022-11-23T01:30:35.1364159Z def call(args): 2022-11-23T01:30:35.1364289Z arg0_1, = args 2022-11-23T01:30:35.1364456Z args.clear() 2022-11-23T01:30:35.1364737Z buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1365105Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.1365240Z del arg0_1 2022-11-23T01:30:35.1365404Z return (buf0, ) 2022-11-23T01:30:35.1365412Z 2022-11-23T01:30:35.1365418Z 2022-11-23T01:30:35.1365585Z if __name__ == "__main__": 2022-11-23T01:30:35.1365794Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1366025Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1366358Z arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1366497Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.1366504Z 2022-11-23T01:30:35.1366636Z ok (1.483s) 2022-11-23T01:30:35.1367205Z test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.1367751Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.1368124Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.1368565Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.1369068Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.1369605Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1370188Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1370731Z [2022-11-23 01:21:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1371295Z [2022-11-23 01:21:59,160] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.1371478Z 1916 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1371684Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1371842Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1372081Z 6 LOAD_CONST 1 ((6, 6)) 2022-11-23T01:30:35.1372333Z 8 CALL_METHOD 2 2022-11-23T01:30:35.1372506Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1372719Z 12 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1372727Z 2022-11-23T01:30:35.1372842Z 1917 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1373002Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.1373140Z 18 BINARY_ADD 2022-11-23T01:30:35.1373321Z 20 LOAD_CONST 3 ((2, 5)) 2022-11-23T01:30:35.1373329Z 2022-11-23T01:30:35.1373490Z 1916 22 CALL_METHOD 2 2022-11-23T01:30:35.1373651Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.1373876Z 26 RETURN_VALUE 2022-11-23T01:30:35.1374011Z 2022-11-23T01:30:35.1374020Z 2022-11-23T01:30:35.1374511Z [2022-11-23 01:21:59,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916 2022-11-23T01:30:35.1374915Z [2022-11-23 01:21:59,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.1375514Z [2022-11-23 01:21:59,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.1375977Z [2022-11-23 01:21:59,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1376517Z [2022-11-23 01:21:59,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1377116Z [2022-11-23 01:21:59,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1377577Z [2022-11-23 01:21:59,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.1378177Z [2022-11-23 01:21:59,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.1378706Z [2022-11-23 01:21:59,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917 2022-11-23T01:30:35.1379206Z [2022-11-23 01:21:59,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1379760Z [2022-11-23 01:21:59,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1380347Z [2022-11-23 01:21:59,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.1380941Z [2022-11-23 01:21:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1381488Z [2022-11-23 01:21:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916 2022-11-23T01:30:35.1382120Z [2022-11-23 01:21:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1382611Z [2022-11-23 01:21:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.1383024Z [2022-11-23 01:21:59,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1383693Z [2022-11-23 01:21:59,176] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.1384092Z [2022-11-23 01:21:59,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1384517Z [2022-11-23 01:21:59,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.1384947Z [2022-11-23 01:21:59,177] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.1385426Z [2022-11-23 01:21:59,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.1385696Z [2022-11-23 01:21:59,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1385927Z __compiled_fn_6 .53 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1386137Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.1386468Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {} 2022-11-23T01:30:35.1386762Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.1387021Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {} 2022-11-23T01:30:35.1387278Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {} 2022-11-23T01:30:35.1387288Z 2022-11-23T01:30:35.1387837Z [2022-11-23 01:21:59,181] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1388001Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.1388118Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1388306Z 4 BUILD_MAP 0 2022-11-23T01:30:35.1388483Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.1388650Z 8 DICT_MERGE 1 2022-11-23T01:30:35.1388815Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.1388975Z 12 RETURN_VALUE 2022-11-23T01:30:35.1388983Z 2022-11-23T01:30:35.1389106Z 2022-11-23T01:30:35.1389590Z [2022-11-23 01:21:59,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1389819Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_6) 2022-11-23T01:30:35.1389983Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1390199Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1390342Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.1390503Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.1390694Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1390874Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1390999Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1391147Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.1391335Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1391507Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.1391644Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.1556232Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.1556587Z 26 RETURN_VALUE 2022-11-23T01:30:35.1556599Z 2022-11-23T01:30:35.1556797Z 2022-11-23T01:30:35.1557387Z [2022-11-23 01:21:59,182] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1557616Z - 2022-11-23T01:30:35.1557935Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.1558062Z { 2022-11-23T01:30:35.1558545Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.1559018Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.1559331Z 'obj_weakref': None 2022-11-23T01:30:35.1559917Z 'guarded_class': 2022-11-23T01:30:35.1560195Z } 2022-11-23T01:30:35.1560638Z 2022-11-23T01:30:35.1560780Z - 2022-11-23T01:30:35.1561374Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.1561556Z { 2022-11-23T01:30:35.1561919Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1562198Z 'code': None, 2022-11-23T01:30:35.1562810Z 'obj_weakref': 2022-11-23T01:30:35.1563474Z 'guarded_class': 2022-11-23T01:30:35.1563597Z } 2022-11-23T01:30:35.1563801Z 2022-11-23T01:30:35.1563990Z - 2022-11-23T01:30:35.1564336Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.1564518Z { 2022-11-23T01:30:35.1565151Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.1565753Z 'code': ['___check_obj_id(model, 140534625209648)'], 2022-11-23T01:30:35.1566015Z 'obj_weakref': None 2022-11-23T01:30:35.1566591Z 'guarded_class': 2022-11-23T01:30:35.1566772Z } 2022-11-23T01:30:35.1566950Z 2022-11-23T01:30:35.1567179Z - 2022-11-23T01:30:35.1567497Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.1567686Z { 2022-11-23T01:30:35.1567967Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.1568552Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.1568868Z 'obj_weakref': None 2022-11-23T01:30:35.1569457Z 'guarded_class': 2022-11-23T01:30:35.1569642Z } 2022-11-23T01:30:35.1569844Z 2022-11-23T01:30:35.1570036Z - 2022-11-23T01:30:35.1570316Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.1570513Z { 2022-11-23T01:30:35.1570831Z 'guard_types': None, 2022-11-23T01:30:35.1571131Z 'code': None, 2022-11-23T01:30:35.1571436Z 'obj_weakref': None 2022-11-23T01:30:35.1571785Z 'guarded_class': None 2022-11-23T01:30:35.1572132Z } 2022-11-23T01:30:35.1572262Z 2022-11-23T01:30:35.1572988Z [2022-11-23 01:21:59,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6 2022-11-23T01:30:35.1573567Z [2022-11-23 01:21:59,345] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d 2022-11-23T01:30:35.1573581Z 2022-11-23T01:30:35.1625102Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1629618Z import torch 2022-11-23T01:30:35.1630176Z import random 2022-11-23T01:30:35.1630785Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1631581Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1637315Z 2022-11-23T01:30:35.1637586Z aten = torch.ops.aten 2022-11-23T01:30:35.1637963Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1638376Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1638604Z 2022-11-23T01:30:35.1638611Z 2022-11-23T01:30:35.1638944Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1639501Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1640071Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1640598Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.1640984Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.1641282Z { 2022-11-23T01:30:35.1641608Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1642040Z { 2022-11-23T01:30:35.1642304Z #pragma omp for 2022-11-23T01:30:35.1642647Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.1642957Z { 2022-11-23T01:30:35.1643228Z #pragma GCC ivdep 2022-11-23T01:30:35.1643763Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:30:35.1644094Z { 2022-11-23T01:30:35.1644370Z #pragma GCC ivdep 2022-11-23T01:30:35.1644717Z for(long i2=0; i2<6; i2+=1) 2022-11-23T01:30:35.1645271Z { 2022-11-23T01:30:35.1645568Z { 2022-11-23T01:30:35.1645860Z { 2022-11-23T01:30:35.1646237Z auto tmp0 = static_cast(((8*i1) / 3)); 2022-11-23T01:30:35.1646670Z auto tmp1 = static_cast(((21 + (16*i1)) / 6)); 2022-11-23T01:30:35.1647021Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.1647455Z auto tmp3 = static_cast(((8*i2) / 3)); 2022-11-23T01:30:35.1647893Z auto tmp4 = static_cast(((21 + (16*i2)) / 6)); 2022-11-23T01:30:35.1648371Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:35.1648778Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:35.1649170Z float tmp7 = 0.0; 2022-11-23T01:30:35.1649465Z if(tmp6) 2022-11-23T01:30:35.1649790Z { 2022-11-23T01:30:35.1650169Z auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1650500Z tmp7 = tmp8; 2022-11-23T01:30:35.1650891Z } 2022-11-23T01:30:35.1651259Z auto tmp9 = static_cast(1 + (((8*i2) / 3))); 2022-11-23T01:30:35.1651681Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:30:35.1652007Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:30:35.1652372Z float tmp12 = 0.0; 2022-11-23T01:30:35.1652770Z if(tmp11) 2022-11-23T01:30:35.1653041Z { 2022-11-23T01:30:35.1653434Z auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1653837Z tmp12 = tmp13; 2022-11-23T01:30:35.1654112Z } 2022-11-23T01:30:35.1654483Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:30:35.1654884Z auto tmp15 = static_cast(2 + (((8*i2) / 3))); 2022-11-23T01:30:35.1655324Z auto tmp16 = tmp15 < tmp4; 2022-11-23T01:30:35.1655647Z auto tmp17 = tmp2 & tmp16; 2022-11-23T01:30:35.1656040Z float tmp18 = 0.0; 2022-11-23T01:30:35.1656366Z if(tmp17) 2022-11-23T01:30:35.1656641Z { 2022-11-23T01:30:35.1657036Z auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1657426Z tmp18 = tmp19; 2022-11-23T01:30:35.1657734Z } 2022-11-23T01:30:35.1658078Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:30:35.1658515Z auto tmp21 = static_cast(3 + (((8*i2) / 3))); 2022-11-23T01:30:35.1658857Z auto tmp22 = tmp21 < tmp4; 2022-11-23T01:30:35.1659229Z auto tmp23 = tmp2 & tmp22; 2022-11-23T01:30:35.1659628Z float tmp24 = 0.0; 2022-11-23T01:30:35.1659981Z if(tmp23) 2022-11-23T01:30:35.1660240Z { 2022-11-23T01:30:35.1660607Z auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1661013Z tmp24 = tmp25; 2022-11-23T01:30:35.1661308Z } 2022-11-23T01:30:35.1661693Z auto tmp26 = tmp24 + tmp20; 2022-11-23T01:30:35.1662209Z auto tmp27 = static_cast(1 + (((8*i1) / 3))); 2022-11-23T01:30:35.1662558Z auto tmp28 = tmp27 < tmp1; 2022-11-23T01:30:35.1662978Z auto tmp29 = tmp28 & tmp5; 2022-11-23T01:30:35.1663339Z float tmp30 = 0.0; 2022-11-23T01:30:35.1663631Z if(tmp29) 2022-11-23T01:30:35.1663961Z { 2022-11-23T01:30:35.1664359Z auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1664790Z tmp30 = tmp31; 2022-11-23T01:30:35.1665095Z } 2022-11-23T01:30:35.1665423Z auto tmp32 = tmp30 + tmp26; 2022-11-23T01:30:35.1665811Z auto tmp33 = tmp28 & tmp10; 2022-11-23T01:30:35.1666234Z float tmp34 = 0.0; 2022-11-23T01:30:35.1666619Z if(tmp33) 2022-11-23T01:30:35.1666940Z { 2022-11-23T01:30:35.1667280Z auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1667669Z tmp34 = tmp35; 2022-11-23T01:30:35.1668049Z } 2022-11-23T01:30:35.1668390Z auto tmp36 = tmp34 + tmp32; 2022-11-23T01:30:35.1668790Z auto tmp37 = tmp28 & tmp16; 2022-11-23T01:30:35.1669166Z float tmp38 = 0.0; 2022-11-23T01:30:35.1669541Z if(tmp37) 2022-11-23T01:30:35.1669831Z { 2022-11-23T01:30:35.1670238Z auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1670633Z tmp38 = tmp39; 2022-11-23T01:30:35.1670907Z } 2022-11-23T01:30:35.1671294Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:30:35.1671721Z auto tmp41 = tmp28 & tmp22; 2022-11-23T01:30:35.1672028Z float tmp42 = 0.0; 2022-11-23T01:30:35.1672360Z if(tmp41) 2022-11-23T01:30:35.1672674Z { 2022-11-23T01:30:35.1673051Z auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1673452Z tmp42 = tmp43; 2022-11-23T01:30:35.1673771Z } 2022-11-23T01:30:35.1674121Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:30:35.1674476Z auto tmp45 = static_cast(2 + (((8*i1) / 3))); 2022-11-23T01:30:35.1674962Z auto tmp46 = tmp45 < tmp1; 2022-11-23T01:30:35.1675353Z auto tmp47 = tmp46 & tmp5; 2022-11-23T01:30:35.1675676Z float tmp48 = 0.0; 2022-11-23T01:30:35.1676016Z if(tmp47) 2022-11-23T01:30:35.1676391Z { 2022-11-23T01:30:35.1676723Z auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1677308Z tmp48 = tmp49; 2022-11-23T01:30:35.1677627Z } 2022-11-23T01:30:35.1677970Z auto tmp50 = tmp48 + tmp44; 2022-11-23T01:30:35.1678347Z auto tmp51 = tmp46 & tmp10; 2022-11-23T01:30:35.1678734Z float tmp52 = 0.0; 2022-11-23T01:30:35.1679056Z if(tmp51) 2022-11-23T01:30:35.1679345Z { 2022-11-23T01:30:35.1679729Z auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1680323Z tmp52 = tmp53; 2022-11-23T01:30:35.1680612Z } 2022-11-23T01:30:35.1681076Z auto tmp54 = tmp52 + tmp50; 2022-11-23T01:30:35.1681466Z auto tmp55 = tmp46 & tmp16; 2022-11-23T01:30:35.1681796Z float tmp56 = 0.0; 2022-11-23T01:30:35.1682219Z if(tmp55) 2022-11-23T01:30:35.1682556Z { 2022-11-23T01:30:35.1682952Z auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1683297Z tmp56 = tmp57; 2022-11-23T01:30:35.1683658Z } 2022-11-23T01:30:35.1684019Z auto tmp58 = tmp56 + tmp54; 2022-11-23T01:30:35.1684353Z auto tmp59 = tmp46 & tmp22; 2022-11-23T01:30:35.1685012Z float tmp60 = 0.0; 2022-11-23T01:30:35.1685400Z if(tmp59) 2022-11-23T01:30:35.1685730Z { 2022-11-23T01:30:35.1686123Z auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1686514Z tmp60 = tmp61; 2022-11-23T01:30:35.1686785Z } 2022-11-23T01:30:35.1687148Z auto tmp62 = tmp60 + tmp58; 2022-11-23T01:30:35.1687581Z auto tmp63 = static_cast(3 + (((8*i1) / 3))); 2022-11-23T01:30:35.1687975Z auto tmp64 = tmp63 < tmp1; 2022-11-23T01:30:35.1688319Z auto tmp65 = tmp64 & tmp5; 2022-11-23T01:30:35.1688717Z float tmp66 = 0.0; 2022-11-23T01:30:35.1689108Z if(tmp65) 2022-11-23T01:30:35.1689401Z { 2022-11-23T01:30:35.1689791Z auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1690187Z tmp66 = tmp67; 2022-11-23T01:30:35.1690471Z } 2022-11-23T01:30:35.1690854Z auto tmp68 = tmp66 + tmp62; 2022-11-23T01:30:35.1691239Z auto tmp69 = tmp64 & tmp10; 2022-11-23T01:30:35.1691548Z float tmp70 = 0.0; 2022-11-23T01:30:35.1691914Z if(tmp69) 2022-11-23T01:30:35.1692274Z { 2022-11-23T01:30:35.1692713Z auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1693054Z tmp70 = tmp71; 2022-11-23T01:30:35.1693390Z } 2022-11-23T01:30:35.1693743Z auto tmp72 = tmp70 + tmp68; 2022-11-23T01:30:35.1694059Z auto tmp73 = tmp64 & tmp16; 2022-11-23T01:30:35.1694466Z float tmp74 = 0.0; 2022-11-23T01:30:35.1694841Z if(tmp73) 2022-11-23T01:30:35.1695123Z { 2022-11-23T01:30:35.1695556Z auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1695978Z tmp74 = tmp75; 2022-11-23T01:30:35.1696293Z } 2022-11-23T01:30:35.1696643Z auto tmp76 = tmp74 + tmp72; 2022-11-23T01:30:35.1697011Z auto tmp77 = tmp64 & tmp22; 2022-11-23T01:30:35.1697383Z float tmp78 = 0.0; 2022-11-23T01:30:35.1697719Z if(tmp77) 2022-11-23T01:30:35.1698062Z { 2022-11-23T01:30:35.1698463Z auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:30:35.1698844Z tmp78 = tmp79; 2022-11-23T01:30:35.1699169Z } 2022-11-23T01:30:35.1699680Z auto tmp80 = tmp78 + tmp76; 2022-11-23T01:30:35.1699995Z float tmp81 = 0.0; 2022-11-23T01:30:35.1700337Z if(tmp6) 2022-11-23T01:30:35.1700667Z { 2022-11-23T01:30:35.1700977Z auto tmp82 = static_cast(1); 2022-11-23T01:30:35.1701404Z tmp81 = tmp82; 2022-11-23T01:30:35.1701738Z } 2022-11-23T01:30:35.1702141Z float tmp83 = 0.0; 2022-11-23T01:30:35.1702431Z if(tmp11) 2022-11-23T01:30:35.1702784Z { 2022-11-23T01:30:35.1703149Z auto tmp84 = static_cast(1); 2022-11-23T01:30:35.1703466Z tmp83 = tmp84; 2022-11-23T01:30:35.1703904Z } 2022-11-23T01:30:35.1704246Z auto tmp85 = tmp83 + tmp81; 2022-11-23T01:30:35.1704605Z float tmp86 = 0.0; 2022-11-23T01:30:35.1704959Z if(tmp17) 2022-11-23T01:30:35.1705359Z { 2022-11-23T01:30:35.1705669Z auto tmp87 = static_cast(1); 2022-11-23T01:30:35.1706045Z tmp86 = tmp87; 2022-11-23T01:30:35.1706495Z } 2022-11-23T01:30:35.1706853Z auto tmp88 = tmp86 + tmp85; 2022-11-23T01:30:35.1707300Z float tmp89 = 0.0; 2022-11-23T01:30:35.1707711Z if(tmp23) 2022-11-23T01:30:35.1708094Z { 2022-11-23T01:30:35.1708419Z auto tmp90 = static_cast(1); 2022-11-23T01:30:35.1708819Z tmp89 = tmp90; 2022-11-23T01:30:35.1709140Z } 2022-11-23T01:30:35.1709438Z auto tmp91 = tmp89 + tmp88; 2022-11-23T01:30:35.1709870Z float tmp92 = 0.0; 2022-11-23T01:30:35.1710225Z if(tmp29) 2022-11-23T01:30:35.1710532Z { 2022-11-23T01:30:35.1710952Z auto tmp93 = static_cast(1); 2022-11-23T01:30:35.1711396Z tmp92 = tmp93; 2022-11-23T01:30:35.1711735Z } 2022-11-23T01:30:35.1712129Z auto tmp94 = tmp92 + tmp91; 2022-11-23T01:30:35.1712489Z float tmp95 = 0.0; 2022-11-23T01:30:35.1712796Z if(tmp33) 2022-11-23T01:30:35.1713129Z { 2022-11-23T01:30:35.1713537Z auto tmp96 = static_cast(1); 2022-11-23T01:30:35.1714200Z tmp95 = tmp96; 2022-11-23T01:30:35.1714510Z } 2022-11-23T01:30:35.1714867Z auto tmp97 = tmp95 + tmp94; 2022-11-23T01:30:35.1715298Z float tmp98 = 0.0; 2022-11-23T01:30:35.1715650Z if(tmp37) 2022-11-23T01:30:35.1715980Z { 2022-11-23T01:30:35.1716350Z auto tmp99 = static_cast(1); 2022-11-23T01:30:35.1716676Z tmp98 = tmp99; 2022-11-23T01:30:35.1717215Z } 2022-11-23T01:30:35.1717585Z auto tmp100 = tmp98 + tmp97; 2022-11-23T01:30:35.1717907Z float tmp101 = 0.0; 2022-11-23T01:30:35.1718254Z if(tmp41) 2022-11-23T01:30:35.1718591Z { 2022-11-23T01:30:35.1718950Z auto tmp102 = static_cast(1); 2022-11-23T01:30:35.1719391Z tmp101 = tmp102; 2022-11-23T01:30:35.1719720Z } 2022-11-23T01:30:35.1720141Z auto tmp103 = tmp101 + tmp100; 2022-11-23T01:30:35.1720565Z float tmp104 = 0.0; 2022-11-23T01:30:35.1721077Z if(tmp47) 2022-11-23T01:30:35.1721410Z { 2022-11-23T01:30:35.1721733Z auto tmp105 = static_cast(1); 2022-11-23T01:30:35.1722130Z tmp104 = tmp105; 2022-11-23T01:30:35.1722724Z } 2022-11-23T01:30:35.1723023Z auto tmp106 = tmp104 + tmp103; 2022-11-23T01:30:35.1723398Z float tmp107 = 0.0; 2022-11-23T01:30:35.1723746Z if(tmp51) 2022-11-23T01:30:35.1724022Z { 2022-11-23T01:30:35.1724427Z auto tmp108 = static_cast(1); 2022-11-23T01:30:35.1725075Z tmp107 = tmp108; 2022-11-23T01:30:35.1725362Z } 2022-11-23T01:30:35.1725744Z auto tmp109 = tmp107 + tmp106; 2022-11-23T01:30:35.1726168Z float tmp110 = 0.0; 2022-11-23T01:30:35.1726543Z if(tmp55) 2022-11-23T01:30:35.1726808Z { 2022-11-23T01:30:35.1727190Z auto tmp111 = static_cast(1); 2022-11-23T01:30:35.1727576Z tmp110 = tmp111; 2022-11-23T01:30:35.1727854Z } 2022-11-23T01:30:35.1728340Z auto tmp112 = tmp110 + tmp109; 2022-11-23T01:30:35.1728722Z float tmp113 = 0.0; 2022-11-23T01:30:35.1729015Z if(tmp59) 2022-11-23T01:30:35.1729374Z { 2022-11-23T01:30:35.1729764Z auto tmp114 = static_cast(1); 2022-11-23T01:30:35.1730116Z tmp113 = tmp114; 2022-11-23T01:30:35.1730434Z } 2022-11-23T01:30:35.1730792Z auto tmp115 = tmp113 + tmp112; 2022-11-23T01:30:35.1731161Z float tmp116 = 0.0; 2022-11-23T01:30:35.1731510Z if(tmp65) 2022-11-23T01:30:35.1731827Z { 2022-11-23T01:30:35.1732211Z auto tmp117 = static_cast(1); 2022-11-23T01:30:35.1732562Z tmp116 = tmp117; 2022-11-23T01:30:35.1732949Z } 2022-11-23T01:30:35.1733342Z auto tmp118 = tmp116 + tmp115; 2022-11-23T01:30:35.1733665Z float tmp119 = 0.0; 2022-11-23T01:30:35.1734009Z if(tmp69) 2022-11-23T01:30:35.1734329Z { 2022-11-23T01:30:35.1734650Z auto tmp120 = static_cast(1); 2022-11-23T01:30:35.1735064Z tmp119 = tmp120; 2022-11-23T01:30:35.1735379Z } 2022-11-23T01:30:35.1735680Z auto tmp121 = tmp119 + tmp118; 2022-11-23T01:30:35.1736109Z float tmp122 = 0.0; 2022-11-23T01:30:35.1736484Z if(tmp73) 2022-11-23T01:30:35.1736815Z { 2022-11-23T01:30:35.1737119Z auto tmp123 = static_cast(1); 2022-11-23T01:30:35.1737504Z tmp122 = tmp123; 2022-11-23T01:30:35.1737842Z } 2022-11-23T01:30:35.1738181Z auto tmp124 = tmp122 + tmp121; 2022-11-23T01:30:35.1738554Z float tmp125 = 0.0; 2022-11-23T01:30:35.1738914Z if(tmp77) 2022-11-23T01:30:35.1739227Z { 2022-11-23T01:30:35.1739602Z auto tmp126 = static_cast(1); 2022-11-23T01:30:35.1740017Z tmp125 = tmp126; 2022-11-23T01:30:35.1740423Z } 2022-11-23T01:30:35.1740778Z auto tmp127 = tmp125 + tmp124; 2022-11-23T01:30:35.1741156Z auto tmp128 = tmp80 / tmp127; 2022-11-23T01:30:35.1741495Z out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128; 2022-11-23T01:30:35.1741893Z } 2022-11-23T01:30:35.1742211Z } 2022-11-23T01:30:35.1742541Z } 2022-11-23T01:30:35.1742788Z } 2022-11-23T01:30:35.1743121Z } 2022-11-23T01:30:35.1743437Z #pragma omp for 2022-11-23T01:30:35.1743728Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.1744041Z { 2022-11-23T01:30:35.1744452Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.1744999Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.1745393Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.1745788Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.1746075Z } 2022-11-23T01:30:35.1746406Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1746792Z for(long i0=2048; i0<2048; i0+=1) 2022-11-23T01:30:35.1747053Z { 2022-11-23T01:30:35.1747375Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.1747740Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.1748047Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.1748427Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.1748796Z } 2022-11-23T01:30:35.1749037Z } 2022-11-23T01:30:35.1749314Z } 2022-11-23T01:30:35.1749748Z ''') 2022-11-23T01:30:35.1749962Z 2022-11-23T01:30:35.1749968Z 2022-11-23T01:30:35.1750079Z async_compile.wait(globals()) 2022-11-23T01:30:35.1750437Z del async_compile 2022-11-23T01:30:35.1750636Z 2022-11-23T01:30:35.1750766Z def call(args): 2022-11-23T01:30:35.1751087Z arg0_1, = args 2022-11-23T01:30:35.1751376Z args.clear() 2022-11-23T01:30:35.1751981Z buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1752607Z buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1753086Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.1753511Z del arg0_1 2022-11-23T01:30:35.1753918Z buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5]) 2022-11-23T01:30:35.1754220Z del buf1 2022-11-23T01:30:35.1754515Z buf3 = buf2 2022-11-23T01:30:35.1754872Z assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1)) 2022-11-23T01:30:35.1755177Z del buf2 2022-11-23T01:30:35.1755557Z return (buf0, buf3, ) 2022-11-23T01:30:35.1755758Z 2022-11-23T01:30:35.1755766Z 2022-11-23T01:30:35.1755909Z if __name__ == "__main__": 2022-11-23T01:30:35.1756298Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1756723Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1757409Z arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1757873Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.1758646Z [2022-11-23 01:22:01,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7r/c7rjjueqdrpdbnks4qovnjkenh3h4f5ckimvhrtkintgzyrxgzjj.py 2022-11-23T01:30:35.1759523Z [2022-11-23 01:22:01,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6 2022-11-23T01:30:35.1760302Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.1761177Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.1761850Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.1762641Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.1763385Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.1764305Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1765326Z [2022-11-23 01:22:01,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1766272Z [2022-11-23 01:22:01,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1767228Z [2022-11-23 01:22:01,105] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.1768047Z 1916 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1768385Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1768785Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1769141Z 6 LOAD_CONST 1 ((6, 6)) 2022-11-23T01:30:35.1769442Z 8 CALL_METHOD 2 2022-11-23T01:30:35.1769842Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1770251Z 12 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1770480Z 2022-11-23T01:30:35.1770637Z 1917 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1770945Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.1771321Z 18 BINARY_ADD 2022-11-23T01:30:35.1771753Z 20 LOAD_CONST 3 ((2, 5)) 2022-11-23T01:30:35.1771958Z 2022-11-23T01:30:35.1772065Z 1916 22 CALL_METHOD 2 2022-11-23T01:30:35.1772484Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.1772816Z 26 RETURN_VALUE 2022-11-23T01:30:35.1773116Z 2022-11-23T01:30:35.1773296Z 2022-11-23T01:30:35.1773837Z [2022-11-23 01:22:01,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916 2022-11-23T01:30:35.1774500Z [2022-11-23 01:22:01,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.1775281Z [2022-11-23 01:22:01,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.1776113Z [2022-11-23 01:22:01,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1777007Z [2022-11-23 01:22:01,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1777853Z [2022-11-23 01:22:01,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1778644Z [2022-11-23 01:22:01,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.1779503Z [2022-11-23 01:22:01,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.1780443Z [2022-11-23 01:22:01,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917 2022-11-23T01:30:35.1781281Z [2022-11-23 01:22:01,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1782210Z [2022-11-23 01:22:01,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1783163Z [2022-11-23 01:22:01,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.1784068Z [2022-11-23 01:22:01,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1785035Z [2022-11-23 01:22:01,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916 2022-11-23T01:30:35.1785909Z [2022-11-23 01:22:01,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1786873Z [2022-11-23 01:22:01,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.1787588Z [2022-11-23 01:22:01,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1788515Z [2022-11-23 01:22:01,121] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.1789256Z [2022-11-23 01:22:01,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1789938Z [2022-11-23 01:22:01,121] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.1790647Z [2022-11-23 01:22:01,122] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.1791394Z [2022-11-23 01:22:01,125] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.1792002Z [2022-11-23 01:22:01,125] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1792483Z __compiled_fn_7 .59 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1792905Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.1793301Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {} 2022-11-23T01:30:35.1793852Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.1794393Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {} 2022-11-23T01:30:35.1794907Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {} 2022-11-23T01:30:35.1795132Z 2022-11-23T01:30:35.1795658Z [2022-11-23 01:22:01,126] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1796223Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.1796637Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1796947Z 4 BUILD_MAP 0 2022-11-23T01:30:35.1797305Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.1797646Z 8 DICT_MERGE 1 2022-11-23T01:30:35.1798001Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.1798318Z 12 RETURN_VALUE 2022-11-23T01:30:35.1798508Z 2022-11-23T01:30:35.1798627Z 2022-11-23T01:30:35.1799316Z [2022-11-23 01:22:01,126] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1799791Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_7) 2022-11-23T01:30:35.1800310Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1800709Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1800998Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.1801351Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.1801731Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1802308Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1802633Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1802975Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.1803364Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1803675Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.1804038Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.1804388Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.1804680Z 26 RETURN_VALUE 2022-11-23T01:30:35.1805008Z 2022-11-23T01:30:35.1805134Z 2022-11-23T01:30:35.1805628Z [2022-11-23 01:22:01,126] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1805996Z - 2022-11-23T01:30:35.1806361Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.1806718Z { 2022-11-23T01:30:35.1807194Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.1807695Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.1808187Z 'obj_weakref': None 2022-11-23T01:30:35.1808742Z 'guarded_class': 2022-11-23T01:30:35.1809089Z } 2022-11-23T01:30:35.1809376Z 2022-11-23T01:30:35.1809716Z - 2022-11-23T01:30:35.1810068Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.1810431Z { 2022-11-23T01:30:35.1810837Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1811190Z 'code': None, 2022-11-23T01:30:35.1811751Z 'obj_weakref': 2022-11-23T01:30:35.1812395Z 'guarded_class': 2022-11-23T01:30:35.1812760Z } 2022-11-23T01:30:35.1813055Z 2022-11-23T01:30:35.1813360Z - 2022-11-23T01:30:35.1813722Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.1814054Z { 2022-11-23T01:30:35.1814488Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.1814914Z 'code': ['___check_obj_id(model, 140534625209648)'], 2022-11-23T01:30:35.1815358Z 'obj_weakref': None 2022-11-23T01:30:35.1815962Z 'guarded_class': 2022-11-23T01:30:35.1816392Z } 2022-11-23T01:30:35.1816637Z 2022-11-23T01:30:35.1816951Z - 2022-11-23T01:30:35.1817364Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.1817648Z { 2022-11-23T01:30:35.1818095Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.1818661Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.1819079Z 'obj_weakref': None 2022-11-23T01:30:35.1819667Z 'guarded_class': 2022-11-23T01:30:35.1820087Z } 2022-11-23T01:30:35.1820332Z 2022-11-23T01:30:35.1820641Z - 2022-11-23T01:30:35.1821027Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.1821372Z { 2022-11-23T01:30:35.1821802Z 'guard_types': None, 2022-11-23T01:30:35.1822194Z 'code': None, 2022-11-23T01:30:35.1822529Z 'obj_weakref': None 2022-11-23T01:30:35.1822942Z 'guarded_class': None 2022-11-23T01:30:35.1823287Z } 2022-11-23T01:30:35.1823532Z 2022-11-23T01:30:35.1824135Z [2022-11-23 01:22:01,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7 2022-11-23T01:30:35.1824465Z 2022-11-23T01:30:35.1824471Z 2022-11-23T01:30:35.1824655Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1825054Z import torch 2022-11-23T01:30:35.1825362Z import random 2022-11-23T01:30:35.1825744Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1826304Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1826509Z 2022-11-23T01:30:35.1826660Z aten = torch.ops.aten 2022-11-23T01:30:35.1827124Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1827552Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1827787Z 2022-11-23T01:30:35.1827795Z 2022-11-23T01:30:35.1827993Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1828546Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1829108Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1829599Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.1829947Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.1830274Z { 2022-11-23T01:30:35.1830677Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1830953Z { 2022-11-23T01:30:35.1831302Z #pragma omp for 2022-11-23T01:30:35.1831646Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.1831925Z { 2022-11-23T01:30:35.1832242Z #pragma GCC ivdep 2022-11-23T01:30:35.1832762Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:30:35.1833030Z { 2022-11-23T01:30:35.1833352Z #pragma GCC ivdep 2022-11-23T01:30:35.1833704Z for(long i2=0; i2<6; i2+=1) 2022-11-23T01:30:35.1833979Z { 2022-11-23T01:30:35.1834302Z { 2022-11-23T01:30:35.1834613Z { 2022-11-23T01:30:35.1834928Z auto tmp0 = static_cast((i1 / 2)); 2022-11-23T01:30:35.1835362Z auto tmp1 = static_cast(((8 + (3*i1)) / 6)); 2022-11-23T01:30:35.1835826Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.1836236Z auto tmp3 = static_cast((i2 / 2)); 2022-11-23T01:30:35.1836657Z auto tmp4 = static_cast(((8 + (3*i2)) / 6)); 2022-11-23T01:30:35.1837045Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:35.1837421Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:35.1837734Z float tmp7 = 0.0; 2022-11-23T01:30:35.1838129Z if(tmp6) 2022-11-23T01:30:35.1838468Z { 2022-11-23T01:30:35.1838809Z auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:30:35.1839226Z tmp7 = tmp8; 2022-11-23T01:30:35.1839594Z } 2022-11-23T01:30:35.1839920Z auto tmp9 = static_cast(1 + (i2 / 2)); 2022-11-23T01:30:35.1840417Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:30:35.1840793Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:30:35.1841175Z float tmp12 = 0.0; 2022-11-23T01:30:35.1841519Z if(tmp11) 2022-11-23T01:30:35.1841855Z { 2022-11-23T01:30:35.1842054Z auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:30:35.1842208Z tmp12 = tmp13; 2022-11-23T01:30:35.1842289Z } 2022-11-23T01:30:35.1842506Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:30:35.1842704Z auto tmp15 = static_cast(1 + (i1 / 2)); 2022-11-23T01:30:35.1842866Z auto tmp16 = tmp15 < tmp1; 2022-11-23T01:30:35.1843087Z auto tmp17 = tmp16 & tmp5; 2022-11-23T01:30:35.1843248Z float tmp18 = 0.0; 2022-11-23T01:30:35.1843390Z if(tmp17) 2022-11-23T01:30:35.1843528Z { 2022-11-23T01:30:35.1843677Z auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:30:35.1843919Z tmp18 = tmp19; 2022-11-23T01:30:35.1844056Z } 2022-11-23T01:30:35.1844239Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:30:35.1844404Z auto tmp21 = tmp16 & tmp10; 2022-11-23T01:30:35.1844599Z float tmp22 = 0.0; 2022-11-23T01:30:35.1844878Z if(tmp21) 2022-11-23T01:30:35.1844959Z { 2022-11-23T01:30:35.1845158Z auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:30:35.1845315Z tmp22 = tmp23; 2022-11-23T01:30:35.1845501Z } 2022-11-23T01:30:35.1845684Z auto tmp24 = tmp22 + tmp20; 2022-11-23T01:30:35.1845952Z float tmp25 = 0.0; 2022-11-23T01:30:35.1846088Z if(tmp6) 2022-11-23T01:30:35.1846172Z { 2022-11-23T01:30:35.1846420Z auto tmp26 = static_cast(1); 2022-11-23T01:30:35.1846574Z tmp25 = tmp26; 2022-11-23T01:30:35.1846704Z } 2022-11-23T01:30:35.1846853Z float tmp27 = 0.0; 2022-11-23T01:30:35.1847008Z if(tmp11) 2022-11-23T01:30:35.1847134Z { 2022-11-23T01:30:35.1847274Z auto tmp28 = static_cast(1); 2022-11-23T01:30:35.1847425Z tmp27 = tmp28; 2022-11-23T01:30:35.1847556Z } 2022-11-23T01:30:35.1847764Z auto tmp29 = tmp27 + tmp25; 2022-11-23T01:30:35.1847929Z float tmp30 = 0.0; 2022-11-23T01:30:35.1848078Z if(tmp17) 2022-11-23T01:30:35.1848263Z { 2022-11-23T01:30:35.1848395Z auto tmp31 = static_cast(1); 2022-11-23T01:30:35.1848554Z tmp30 = tmp31; 2022-11-23T01:30:35.1848679Z } 2022-11-23T01:30:35.1848845Z auto tmp32 = tmp30 + tmp29; 2022-11-23T01:30:35.1849003Z float tmp33 = 0.0; 2022-11-23T01:30:35.1849183Z if(tmp21) 2022-11-23T01:30:35.1849315Z { 2022-11-23T01:30:35.1849455Z auto tmp34 = static_cast(1); 2022-11-23T01:30:35.1849626Z tmp33 = tmp34; 2022-11-23T01:30:35.1849762Z } 2022-11-23T01:30:35.1849926Z auto tmp35 = tmp33 + tmp32; 2022-11-23T01:30:35.1850098Z auto tmp36 = tmp24 / tmp35; 2022-11-23T01:30:35.1850285Z out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36; 2022-11-23T01:30:35.1850415Z } 2022-11-23T01:30:35.1850591Z } 2022-11-23T01:30:35.1850670Z } 2022-11-23T01:30:35.1850810Z } 2022-11-23T01:30:35.1850975Z } 2022-11-23T01:30:35.1851122Z #pragma omp for 2022-11-23T01:30:35.1851273Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.1851390Z { 2022-11-23T01:30:35.1851485Z #pragma GCC ivdep 2022-11-23T01:30:35.1851632Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.1851753Z { 2022-11-23T01:30:35.1851953Z #pragma GCC ivdep 2022-11-23T01:30:35.1852116Z for(long i2=0; i2<5; i2+=1) 2022-11-23T01:30:35.1852240Z { 2022-11-23T01:30:35.1852365Z { 2022-11-23T01:30:35.1852447Z { 2022-11-23T01:30:35.1852637Z auto tmp0 = static_cast(((3*i1) / 2)); 2022-11-23T01:30:35.1852838Z auto tmp1 = static_cast(2 + (((3*i1) / 2))); 2022-11-23T01:30:35.1853117Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.1853309Z auto tmp3 = static_cast(((3*i2) / 5)); 2022-11-23T01:30:35.1853545Z auto tmp4 = static_cast(((7 + (3*i2)) / 5)); 2022-11-23T01:30:35.1853753Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:35.1853920Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:35.1854027Z float tmp7 = 0.0; 2022-11-23T01:30:35.1854166Z if(tmp6) 2022-11-23T01:30:35.1854298Z { 2022-11-23T01:30:35.1854514Z auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:30:35.1854702Z auto tmp9 = static_cast(1); 2022-11-23T01:30:35.1854930Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:35.1855117Z tmp7 = tmp10; 2022-11-23T01:30:35.1855203Z } 2022-11-23T01:30:35.1855398Z auto tmp11 = static_cast(1 + (((3*i2) / 5))); 2022-11-23T01:30:35.1855556Z auto tmp12 = tmp11 < tmp4; 2022-11-23T01:30:35.1855720Z auto tmp13 = tmp2 & tmp12; 2022-11-23T01:30:35.1855888Z float tmp14 = 0.0; 2022-11-23T01:30:35.1856028Z if(tmp13) 2022-11-23T01:30:35.1856159Z { 2022-11-23T01:30:35.1856309Z auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:30:35.1856506Z auto tmp16 = static_cast(1); 2022-11-23T01:30:35.1856750Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:30:35.1856909Z tmp14 = tmp17; 2022-11-23T01:30:35.1857039Z } 2022-11-23T01:30:35.1857214Z auto tmp18 = tmp14 + tmp7; 2022-11-23T01:30:35.1857404Z auto tmp19 = static_cast(1 + (((3*i1) / 2))); 2022-11-23T01:30:35.1857567Z auto tmp20 = tmp19 < tmp1; 2022-11-23T01:30:35.1857691Z auto tmp21 = tmp20 & tmp5; 2022-11-23T01:30:35.1857848Z float tmp22 = 0.0; 2022-11-23T01:30:35.1857992Z if(tmp21) 2022-11-23T01:30:35.1858157Z { 2022-11-23T01:30:35.1858362Z auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:30:35.1858557Z auto tmp24 = static_cast(1); 2022-11-23T01:30:35.1858725Z auto tmp25 = tmp23 + tmp24; 2022-11-23T01:30:35.1858838Z tmp22 = tmp25; 2022-11-23T01:30:35.1858971Z } 2022-11-23T01:30:35.1859136Z auto tmp26 = tmp22 + tmp18; 2022-11-23T01:30:35.1859303Z auto tmp27 = tmp20 & tmp12; 2022-11-23T01:30:35.1859452Z float tmp28 = 0.0; 2022-11-23T01:30:35.1859668Z if(tmp27) 2022-11-23T01:30:35.1859810Z { 2022-11-23T01:30:35.1859965Z auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:30:35.1860157Z auto tmp30 = static_cast(1); 2022-11-23T01:30:35.1860325Z auto tmp31 = tmp29 + tmp30; 2022-11-23T01:30:35.1860482Z tmp28 = tmp31; 2022-11-23T01:30:35.1860611Z } 2022-11-23T01:30:35.1860777Z auto tmp32 = tmp28 + tmp26; 2022-11-23T01:30:35.1860937Z float tmp33 = 0.0; 2022-11-23T01:30:35.1861125Z if(tmp6) 2022-11-23T01:30:35.1861208Z { 2022-11-23T01:30:35.1861466Z auto tmp34 = static_cast(1); 2022-11-23T01:30:35.1861616Z tmp33 = tmp34; 2022-11-23T01:30:35.1861754Z } 2022-11-23T01:30:35.1861914Z float tmp35 = 0.0; 2022-11-23T01:30:35.1862057Z if(tmp13) 2022-11-23T01:30:35.1862196Z { 2022-11-23T01:30:35.1862341Z auto tmp36 = static_cast(1); 2022-11-23T01:30:35.1862538Z tmp35 = tmp36; 2022-11-23T01:30:35.1862699Z } 2022-11-23T01:30:35.1862868Z auto tmp37 = tmp35 + tmp33; 2022-11-23T01:30:35.1863023Z float tmp38 = 0.0; 2022-11-23T01:30:35.1863237Z if(tmp21) 2022-11-23T01:30:35.1863368Z { 2022-11-23T01:30:35.1863504Z auto tmp39 = static_cast(1); 2022-11-23T01:30:35.1863664Z tmp38 = tmp39; 2022-11-23T01:30:35.1863794Z } 2022-11-23T01:30:35.1863959Z auto tmp40 = tmp38 + tmp37; 2022-11-23T01:30:35.1864138Z float tmp41 = 0.0; 2022-11-23T01:30:35.1864282Z if(tmp27) 2022-11-23T01:30:35.1864413Z { 2022-11-23T01:30:35.1864544Z auto tmp42 = static_cast(1); 2022-11-23T01:30:35.1864695Z tmp41 = tmp42; 2022-11-23T01:30:35.1864834Z } 2022-11-23T01:30:35.1864996Z auto tmp43 = tmp41 + tmp40; 2022-11-23T01:30:35.1865199Z auto tmp44 = tmp32 / tmp43; 2022-11-23T01:30:35.1865380Z out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44; 2022-11-23T01:30:35.1865534Z } 2022-11-23T01:30:35.1865613Z } 2022-11-23T01:30:35.1865739Z } 2022-11-23T01:30:35.1865861Z } 2022-11-23T01:30:35.1865985Z } 2022-11-23T01:30:35.1866108Z } 2022-11-23T01:30:35.1866227Z } 2022-11-23T01:30:35.1866413Z ''') 2022-11-23T01:30:35.1866424Z 2022-11-23T01:30:35.1866430Z 2022-11-23T01:30:35.1866538Z async_compile.wait(globals()) 2022-11-23T01:30:35.1866673Z del async_compile 2022-11-23T01:30:35.1866680Z 2022-11-23T01:30:35.1866844Z def call(args): 2022-11-23T01:30:35.1866973Z arg0_1, = args 2022-11-23T01:30:35.1867119Z args.clear() 2022-11-23T01:30:35.1867470Z buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1867811Z buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1868125Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.1868201Z del arg0_1 2022-11-23T01:30:35.1868341Z return (buf0, buf1, ) 2022-11-23T01:30:35.1868349Z 2022-11-23T01:30:35.1868356Z 2022-11-23T01:30:35.1868485Z if __name__ == "__main__": 2022-11-23T01:30:35.1868699Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1868897Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1869212Z arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1869384Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.1869989Z [2022-11-23 01:22:02,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv76jv6gza6clytklrxepsvrmub3pyeb2rjwdwz4rcyhocyeoug.py 2022-11-23T01:30:35.1870344Z [2022-11-23 01:22:02,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7 2022-11-23T01:30:35.1870711Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.1871264Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.1871645Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.1872109Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.1872535Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.1873058Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1873612Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1874228Z [2022-11-23 01:22:02,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1874804Z [2022-11-23 01:22:02,796] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.1874925Z 1916 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1875126Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1875280Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1875482Z 6 LOAD_CONST 1 ((6, 6)) 2022-11-23T01:30:35.1875638Z 8 CALL_METHOD 2 2022-11-23T01:30:35.1875797Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1875991Z 12 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1876001Z 2022-11-23T01:30:35.1876155Z 1917 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1876266Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.1876406Z 18 BINARY_ADD 2022-11-23T01:30:35.1876560Z 20 LOAD_CONST 3 ((2, 5)) 2022-11-23T01:30:35.1876567Z 2022-11-23T01:30:35.1876721Z 1916 22 CALL_METHOD 2 2022-11-23T01:30:35.1876913Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.1877048Z 26 RETURN_VALUE 2022-11-23T01:30:35.1877170Z 2022-11-23T01:30:35.1877178Z 2022-11-23T01:30:35.1877753Z [2022-11-23 01:22:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916 2022-11-23T01:30:35.1878059Z [2022-11-23 01:22:02,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.1878593Z [2022-11-23 01:22:02,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.1879042Z [2022-11-23 01:22:02,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1879518Z [2022-11-23 01:22:02,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1880160Z [2022-11-23 01:22:02,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1880611Z [2022-11-23 01:22:02,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.1881158Z [2022-11-23 01:22:02,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.1881653Z [2022-11-23 01:22:02,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917 2022-11-23T01:30:35.1882197Z [2022-11-23 01:22:02,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1882687Z [2022-11-23 01:22:02,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1883293Z [2022-11-23 01:22:02,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.1883776Z [2022-11-23 01:22:02,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1884271Z [2022-11-23 01:22:02,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916 2022-11-23T01:30:35.1885099Z [2022-11-23 01:22:02,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1885591Z [2022-11-23 01:22:02,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.1885990Z [2022-11-23 01:22:02,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1886615Z [2022-11-23 01:22:02,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.1886993Z [2022-11-23 01:22:02,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1887373Z [2022-11-23 01:22:02,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.1887784Z [2022-11-23 01:22:02,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.1888173Z [2022-11-23 01:22:02,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.1888423Z [2022-11-23 01:22:02,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1888646Z __compiled_fn_8 .65 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1888855Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.1889097Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {} 2022-11-23T01:30:35.1889369Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.1889607Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {} 2022-11-23T01:30:35.1889845Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {} 2022-11-23T01:30:35.1889860Z 2022-11-23T01:30:35.1890369Z [2022-11-23 01:22:02,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1890541Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.1890652Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1890814Z 4 BUILD_MAP 0 2022-11-23T01:30:35.1891013Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.1891201Z 8 DICT_MERGE 1 2022-11-23T01:30:35.1891355Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.1891493Z 12 RETURN_VALUE 2022-11-23T01:30:35.1891502Z 2022-11-23T01:30:35.1891621Z 2022-11-23T01:30:35.1892085Z [2022-11-23 01:22:02,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1892271Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_8) 2022-11-23T01:30:35.1892439Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1892700Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1892880Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.1893045Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.1893221Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1893396Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1893503Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1893658Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.1893824Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1893977Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.1894113Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.1894339Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.1894560Z 26 RETURN_VALUE 2022-11-23T01:30:35.1894570Z 2022-11-23T01:30:35.1894639Z 2022-11-23T01:30:35.1894961Z [2022-11-23 01:22:02,817] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1895106Z - 2022-11-23T01:30:35.1895304Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.1895425Z { 2022-11-23T01:30:35.1895663Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.1895950Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.1896097Z 'obj_weakref': None 2022-11-23T01:30:35.1896482Z 'guarded_class': 2022-11-23T01:30:35.1896608Z } 2022-11-23T01:30:35.1896741Z 2022-11-23T01:30:35.1896872Z - 2022-11-23T01:30:35.1897085Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.1897201Z { 2022-11-23T01:30:35.1897375Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1897553Z 'code': None, 2022-11-23T01:30:35.1897936Z 'obj_weakref': 2022-11-23T01:30:35.1898420Z 'guarded_class': 2022-11-23T01:30:35.1898562Z } 2022-11-23T01:30:35.1898689Z 2022-11-23T01:30:35.1898817Z - 2022-11-23T01:30:35.1898998Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.1899123Z { 2022-11-23T01:30:35.1899358Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.1899642Z 'code': ['___check_obj_id(model, 140534625209648)'], 2022-11-23T01:30:35.1899852Z 'obj_weakref': None 2022-11-23T01:30:35.1900307Z 'guarded_class': 2022-11-23T01:30:35.1900434Z } 2022-11-23T01:30:35.1900505Z 2022-11-23T01:30:35.1900643Z - 2022-11-23T01:30:35.1900857Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.1900984Z { 2022-11-23T01:30:35.1901213Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.1901575Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.1901825Z 'obj_weakref': None 2022-11-23T01:30:35.1902116Z 'guarded_class': 2022-11-23T01:30:35.1902269Z } 2022-11-23T01:30:35.1902393Z 2022-11-23T01:30:35.1902522Z - 2022-11-23T01:30:35.1902744Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.1902864Z { 2022-11-23T01:30:35.1903073Z 'guard_types': None, 2022-11-23T01:30:35.1903218Z 'code': None, 2022-11-23T01:30:35.1903430Z 'obj_weakref': None 2022-11-23T01:30:35.1903632Z 'guarded_class': None 2022-11-23T01:30:35.1903794Z } 2022-11-23T01:30:35.1903923Z 2022-11-23T01:30:35.1904406Z [2022-11-23 01:22:02,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8 2022-11-23T01:30:35.1904417Z 2022-11-23T01:30:35.1904423Z 2022-11-23T01:30:35.1904587Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1904667Z import torch 2022-11-23T01:30:35.1904809Z import random 2022-11-23T01:30:35.1905002Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1905247Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1905259Z 2022-11-23T01:30:35.1905402Z aten = torch.ops.aten 2022-11-23T01:30:35.1905667Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1905828Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1905835Z 2022-11-23T01:30:35.1905842Z 2022-11-23T01:30:35.1906073Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1906341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1906623Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1906807Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.1906972Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.1907091Z { 2022-11-23T01:30:35.1907261Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.1907416Z { 2022-11-23T01:30:35.1907511Z #pragma omp for 2022-11-23T01:30:35.1907657Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.1907782Z { 2022-11-23T01:30:35.1907924Z #pragma GCC ivdep 2022-11-23T01:30:35.1908068Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.1908230Z { 2022-11-23T01:30:35.1908377Z #pragma GCC ivdep 2022-11-23T01:30:35.1908475Z for(long i2=0; i2<5; i2+=1) 2022-11-23T01:30:35.1908599Z { 2022-11-23T01:30:35.1908759Z { 2022-11-23T01:30:35.1908909Z { 2022-11-23T01:30:35.1909099Z auto tmp0 = static_cast(3*i1); 2022-11-23T01:30:35.1909292Z auto tmp1 = static_cast(3 + (3*i1)); 2022-11-23T01:30:35.1909453Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.1909595Z auto tmp3 = static_cast(((6*i2) / 5)); 2022-11-23T01:30:35.1909796Z auto tmp4 = static_cast(2 + (((6*i2) / 5))); 2022-11-23T01:30:35.1909968Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:35.1910133Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:35.1910343Z float tmp7 = 0.0; 2022-11-23T01:30:35.1910488Z if(tmp6) 2022-11-23T01:30:35.1910624Z { 2022-11-23T01:30:35.1910774Z auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1910966Z auto tmp9 = static_cast(1); 2022-11-23T01:30:35.1911183Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:35.1911345Z tmp7 = tmp10; 2022-11-23T01:30:35.1911477Z } 2022-11-23T01:30:35.1911687Z auto tmp11 = static_cast(1 + (((6*i2) / 5))); 2022-11-23T01:30:35.1911892Z auto tmp12 = tmp11 < tmp4; 2022-11-23T01:30:35.1912068Z auto tmp13 = tmp2 & tmp12; 2022-11-23T01:30:35.1912190Z float tmp14 = 0.0; 2022-11-23T01:30:35.1912338Z if(tmp13) 2022-11-23T01:30:35.1912469Z { 2022-11-23T01:30:35.1912671Z auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1912859Z auto tmp16 = static_cast(1); 2022-11-23T01:30:35.1913050Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:30:35.1913210Z tmp14 = tmp17; 2022-11-23T01:30:35.1913290Z } 2022-11-23T01:30:35.1913558Z auto tmp18 = tmp14 + tmp7; 2022-11-23T01:30:35.1913754Z auto tmp19 = static_cast(1 + (3*i1)); 2022-11-23T01:30:35.1913929Z auto tmp20 = tmp19 < tmp1; 2022-11-23T01:30:35.1914146Z auto tmp21 = tmp20 & tmp5; 2022-11-23T01:30:35.1914310Z float tmp22 = 0.0; 2022-11-23T01:30:35.1914459Z if(tmp21) 2022-11-23T01:30:35.1914537Z { 2022-11-23T01:30:35.1914736Z auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1914923Z auto tmp24 = static_cast(1); 2022-11-23T01:30:35.1915136Z auto tmp25 = tmp23 + tmp24; 2022-11-23T01:30:35.1915359Z tmp22 = tmp25; 2022-11-23T01:30:35.1915489Z } 2022-11-23T01:30:35.1915667Z auto tmp26 = tmp22 + tmp18; 2022-11-23T01:30:35.1915830Z auto tmp27 = tmp20 & tmp12; 2022-11-23T01:30:35.1915939Z float tmp28 = 0.0; 2022-11-23T01:30:35.1916077Z if(tmp27) 2022-11-23T01:30:35.1916240Z { 2022-11-23T01:30:35.1916481Z auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1916683Z auto tmp30 = static_cast(1); 2022-11-23T01:30:35.1916866Z auto tmp31 = tmp29 + tmp30; 2022-11-23T01:30:35.1917090Z tmp28 = tmp31; 2022-11-23T01:30:35.1917220Z } 2022-11-23T01:30:35.1917393Z auto tmp32 = tmp28 + tmp26; 2022-11-23T01:30:35.1917536Z auto tmp33 = static_cast(2 + (3*i1)); 2022-11-23T01:30:35.1917729Z auto tmp34 = tmp33 < tmp1; 2022-11-23T01:30:35.1917895Z auto tmp35 = tmp34 & tmp5; 2022-11-23T01:30:35.1918052Z float tmp36 = 0.0; 2022-11-23T01:30:35.1918196Z if(tmp35) 2022-11-23T01:30:35.1918339Z { 2022-11-23T01:30:35.1918530Z auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1918709Z auto tmp38 = static_cast(1); 2022-11-23T01:30:35.1918829Z auto tmp39 = tmp37 + tmp38; 2022-11-23T01:30:35.1918979Z tmp36 = tmp39; 2022-11-23T01:30:35.1919142Z } 2022-11-23T01:30:35.1919316Z auto tmp40 = tmp36 + tmp32; 2022-11-23T01:30:35.1919498Z auto tmp41 = tmp34 & tmp12; 2022-11-23T01:30:35.1919660Z float tmp42 = 0.0; 2022-11-23T01:30:35.1919804Z if(tmp41) 2022-11-23T01:30:35.1919884Z { 2022-11-23T01:30:35.1920213Z auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1920405Z auto tmp44 = static_cast(1); 2022-11-23T01:30:35.1920594Z auto tmp45 = tmp43 + tmp44; 2022-11-23T01:30:35.1920797Z tmp42 = tmp45; 2022-11-23T01:30:35.1920926Z } 2022-11-23T01:30:35.1921097Z auto tmp46 = tmp42 + tmp40; 2022-11-23T01:30:35.1921216Z auto tmp47 = tmp1 < tmp1; 2022-11-23T01:30:35.1921377Z auto tmp48 = tmp47 & tmp5; 2022-11-23T01:30:35.1921531Z float tmp49 = 0.0; 2022-11-23T01:30:35.1921669Z if(tmp48) 2022-11-23T01:30:35.1921794Z { 2022-11-23T01:30:35.1922062Z auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1922293Z auto tmp51 = static_cast(1); 2022-11-23T01:30:35.1922459Z auto tmp52 = tmp50 + tmp51; 2022-11-23T01:30:35.1922562Z tmp49 = tmp52; 2022-11-23T01:30:35.1922693Z } 2022-11-23T01:30:35.1922854Z auto tmp53 = tmp49 + tmp46; 2022-11-23T01:30:35.1923060Z auto tmp54 = tmp47 & tmp12; 2022-11-23T01:30:35.1923214Z float tmp55 = 0.0; 2022-11-23T01:30:35.1923354Z if(tmp54) 2022-11-23T01:30:35.1923500Z { 2022-11-23T01:30:35.1923649Z auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:30:35.1923924Z auto tmp57 = static_cast(1); 2022-11-23T01:30:35.1924096Z auto tmp58 = tmp56 + tmp57; 2022-11-23T01:30:35.1924250Z tmp55 = tmp58; 2022-11-23T01:30:35.1924378Z } 2022-11-23T01:30:35.1924545Z auto tmp59 = tmp55 + tmp53; 2022-11-23T01:30:35.1924704Z float tmp60 = 0.0; 2022-11-23T01:30:35.1924933Z if(tmp6) 2022-11-23T01:30:35.1925084Z { 2022-11-23T01:30:35.1925263Z auto tmp61 = static_cast(1); 2022-11-23T01:30:35.1925448Z tmp60 = tmp61; 2022-11-23T01:30:35.1925577Z } 2022-11-23T01:30:35.1925736Z float tmp62 = 0.0; 2022-11-23T01:30:35.1925932Z if(tmp13) 2022-11-23T01:30:35.1926023Z { 2022-11-23T01:30:35.1926222Z auto tmp63 = static_cast(1); 2022-11-23T01:30:35.1926389Z tmp62 = tmp63; 2022-11-23T01:30:35.1926518Z } 2022-11-23T01:30:35.1926687Z auto tmp64 = tmp62 + tmp60; 2022-11-23T01:30:35.1926884Z float tmp65 = 0.0; 2022-11-23T01:30:35.1927032Z if(tmp21) 2022-11-23T01:30:35.1927113Z { 2022-11-23T01:30:35.1927295Z auto tmp66 = static_cast(1); 2022-11-23T01:30:35.1927445Z tmp65 = tmp66; 2022-11-23T01:30:35.1927580Z } 2022-11-23T01:30:35.1927746Z auto tmp67 = tmp65 + tmp64; 2022-11-23T01:30:35.1927901Z float tmp68 = 0.0; 2022-11-23T01:30:35.1928050Z if(tmp27) 2022-11-23T01:30:35.1928210Z { 2022-11-23T01:30:35.1928347Z auto tmp69 = static_cast(1); 2022-11-23T01:30:35.1928499Z tmp68 = tmp69; 2022-11-23T01:30:35.1928664Z } 2022-11-23T01:30:35.1928844Z auto tmp70 = tmp68 + tmp67; 2022-11-23T01:30:35.1929001Z float tmp71 = 0.0; 2022-11-23T01:30:35.1929139Z if(tmp35) 2022-11-23T01:30:35.1929262Z { 2022-11-23T01:30:35.1929395Z auto tmp72 = static_cast(1); 2022-11-23T01:30:35.1929544Z tmp71 = tmp72; 2022-11-23T01:30:35.1929705Z } 2022-11-23T01:30:35.1929872Z auto tmp73 = tmp71 + tmp70; 2022-11-23T01:30:35.1930037Z float tmp74 = 0.0; 2022-11-23T01:30:35.1930181Z if(tmp41) 2022-11-23T01:30:35.1930308Z { 2022-11-23T01:30:35.1930535Z auto tmp75 = static_cast(1); 2022-11-23T01:30:35.1930686Z tmp74 = tmp75; 2022-11-23T01:30:35.1930813Z } 2022-11-23T01:30:35.1930979Z auto tmp76 = tmp74 + tmp73; 2022-11-23T01:30:35.1931180Z float tmp77 = 0.0; 2022-11-23T01:30:35.1931362Z if(tmp48) 2022-11-23T01:30:35.1931491Z { 2022-11-23T01:30:35.1931628Z auto tmp78 = static_cast(1); 2022-11-23T01:30:35.1931774Z tmp77 = tmp78; 2022-11-23T01:30:35.1931901Z } 2022-11-23T01:30:35.1932064Z auto tmp79 = tmp77 + tmp76; 2022-11-23T01:30:35.1932220Z float tmp80 = 0.0; 2022-11-23T01:30:35.1932433Z if(tmp54) 2022-11-23T01:30:35.1932589Z { 2022-11-23T01:30:35.1932727Z auto tmp81 = static_cast(1); 2022-11-23T01:30:35.1932876Z tmp80 = tmp81; 2022-11-23T01:30:35.1933004Z } 2022-11-23T01:30:35.1933177Z auto tmp82 = tmp80 + tmp79; 2022-11-23T01:30:35.1933347Z auto tmp83 = tmp59 / tmp82; 2022-11-23T01:30:35.1933534Z out_ptr0[i2 + (5*i1) + (10*i0)] = tmp83; 2022-11-23T01:30:35.1933673Z } 2022-11-23T01:30:35.1933754Z } 2022-11-23T01:30:35.1933883Z } 2022-11-23T01:30:35.1934081Z } 2022-11-23T01:30:35.1934201Z } 2022-11-23T01:30:35.1934350Z #pragma omp for 2022-11-23T01:30:35.1934496Z for(long i0=0; i0<36; i0+=1) 2022-11-23T01:30:35.1934627Z { 2022-11-23T01:30:35.1934816Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.1934986Z tmp0.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.1935108Z } 2022-11-23T01:30:35.1935275Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.1935450Z for(long i0=288; i0<288; i0+=1) 2022-11-23T01:30:35.1935568Z { 2022-11-23T01:30:35.1935725Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.1935819Z out_ptr1[i0] = tmp0; 2022-11-23T01:30:35.1935937Z } 2022-11-23T01:30:35.1936065Z } 2022-11-23T01:30:35.1936182Z } 2022-11-23T01:30:35.1936359Z ''') 2022-11-23T01:30:35.1936368Z 2022-11-23T01:30:35.1936374Z 2022-11-23T01:30:35.1936529Z async_compile.wait(globals()) 2022-11-23T01:30:35.1936731Z del async_compile 2022-11-23T01:30:35.1936739Z 2022-11-23T01:30:35.1936823Z def call(args): 2022-11-23T01:30:35.1936952Z arg0_1, = args 2022-11-23T01:30:35.1937081Z args.clear() 2022-11-23T01:30:35.1937454Z buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1937803Z buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1938116Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.1938264Z del arg0_1 2022-11-23T01:30:35.1938374Z return (buf1, buf0, ) 2022-11-23T01:30:35.1938436Z 2022-11-23T01:30:35.1938444Z 2022-11-23T01:30:35.1938552Z if __name__ == "__main__": 2022-11-23T01:30:35.1938813Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1939058Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1939441Z arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1939628Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.1940182Z [2022-11-23 01:22:04,593] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chdam3zd4abxj44tfqrglv6o64d74plhmrlwzanrtle5ecrqioto.py 2022-11-23T01:30:35.1940682Z [2022-11-23 01:22:04,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8 2022-11-23T01:30:35.1940693Z 2022-11-23T01:30:35.1940826Z ok (5.440s) 2022-11-23T01:30:35.1941289Z test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.1941901Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.1942368Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.1942830Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.1943272Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.1943866Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1944428Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1944927Z [2022-11-23 01:22:04,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1945508Z [2022-11-23 01:22:04,599] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.1945692Z 1941 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.1945937Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:30:35.1946058Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.1946224Z 6 LOAD_CONST 1 ((4, 4)) 2022-11-23T01:30:35.1946386Z 8 CALL_METHOD 2 2022-11-23T01:30:35.1946529Z 10 RETURN_VALUE 2022-11-23T01:30:35.1946650Z 2022-11-23T01:30:35.1946659Z 2022-11-23T01:30:35.1947170Z [2022-11-23 01:22:04,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1941 2022-11-23T01:30:35.1947571Z [2022-11-23 01:22:04,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.1948087Z [2022-11-23 01:22:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.1948475Z [2022-11-23 01:22:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:30:35.1949019Z [2022-11-23 01:22:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.1949580Z [2022-11-23 01:22:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.1950003Z [2022-11-23 01:22:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.1950603Z [2022-11-23 01:22:04,606] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.1951000Z [2022-11-23 01:22:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.1951380Z [2022-11-23 01:22:04,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.1951815Z [2022-11-23 01:22:04,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.1952280Z [2022-11-23 01:22:04,609] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.1952642Z [2022-11-23 01:22:04,609] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1952813Z __compiled_fn_9 .71 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1952974Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.1953217Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {} 2022-11-23T01:30:35.1953417Z output, output, output, ((_adaptive_avg_pool2d,),), {} 2022-11-23T01:30:35.1953427Z 2022-11-23T01:30:35.1953932Z [2022-11-23 01:22:04,610] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1954136Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.1954366Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1954519Z 4 BUILD_MAP 0 2022-11-23T01:30:35.1954640Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.1954833Z 8 DICT_MERGE 1 2022-11-23T01:30:35.1954989Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.1955135Z 12 RETURN_VALUE 2022-11-23T01:30:35.1955143Z 2022-11-23T01:30:35.1955252Z 2022-11-23T01:30:35.1955786Z [2022-11-23 01:22:04,610] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1955971Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_9) 2022-11-23T01:30:35.1956082Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1956242Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1956377Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.1956587Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.1956757Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.1956893Z 12 RETURN_VALUE 2022-11-23T01:30:35.1956902Z 2022-11-23T01:30:35.1957023Z 2022-11-23T01:30:35.1957371Z [2022-11-23 01:22:04,610] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1957452Z - 2022-11-23T01:30:35.1957656Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.1957784Z { 2022-11-23T01:30:35.1958014Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.1958367Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.1958564Z 'obj_weakref': None 2022-11-23T01:30:35.1958922Z 'guarded_class': 2022-11-23T01:30:35.1958997Z } 2022-11-23T01:30:35.1959122Z 2022-11-23T01:30:35.1959247Z - 2022-11-23T01:30:35.1959460Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.1959583Z { 2022-11-23T01:30:35.1959825Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1960123Z 'code': None, 2022-11-23T01:30:35.1960421Z 'obj_weakref': 2022-11-23T01:30:35.1960807Z 'guarded_class': 2022-11-23T01:30:35.1960933Z } 2022-11-23T01:30:35.1961095Z 2022-11-23T01:30:35.1961221Z - 2022-11-23T01:30:35.1961442Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.1961571Z { 2022-11-23T01:30:35.1961741Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.1962011Z 'code': ['___check_obj_id(model, 140534626915456)'], 2022-11-23T01:30:35.1962247Z 'obj_weakref': None 2022-11-23T01:30:35.1962610Z 'guarded_class': 2022-11-23T01:30:35.1962738Z } 2022-11-23T01:30:35.1962866Z 2022-11-23T01:30:35.1962997Z - 2022-11-23T01:30:35.1963151Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.1963364Z { 2022-11-23T01:30:35.1963598Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.1963964Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.1964208Z 'obj_weakref': None 2022-11-23T01:30:35.1964571Z 'guarded_class': 2022-11-23T01:30:35.1964882Z } 2022-11-23T01:30:35.1964957Z 2022-11-23T01:30:35.1965106Z - 2022-11-23T01:30:35.1965336Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.1965457Z { 2022-11-23T01:30:35.1965666Z 'guard_types': None, 2022-11-23T01:30:35.1965854Z 'code': None, 2022-11-23T01:30:35.1966001Z 'obj_weakref': None 2022-11-23T01:30:35.1966356Z 'guarded_class': None 2022-11-23T01:30:35.1966477Z } 2022-11-23T01:30:35.1966606Z 2022-11-23T01:30:35.1967016Z [2022-11-23 01:22:04,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9 2022-11-23T01:30:35.1967404Z [2022-11-23 01:22:04,616] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d 2022-11-23T01:30:35.1967960Z [2022-11-23 01:22:04,618] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4sf74dyl7kpt6x4hawiicof5w4s36wvhwsoqd24mk7oi7ecao3p.py 2022-11-23T01:30:35.1968392Z [2022-11-23 01:22:04,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9 2022-11-23T01:30:35.1968402Z 2022-11-23T01:30:35.1968561Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1968644Z import torch 2022-11-23T01:30:35.1968817Z import random 2022-11-23T01:30:35.1969065Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1969278Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1969286Z 2022-11-23T01:30:35.1969431Z aten = torch.ops.aten 2022-11-23T01:30:35.1969669Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1969829Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1969837Z 2022-11-23T01:30:35.1969844Z 2022-11-23T01:30:35.1969963Z async_compile.wait(globals()) 2022-11-23T01:30:35.1970101Z del async_compile 2022-11-23T01:30:35.1970107Z 2022-11-23T01:30:35.1970242Z def call(args): 2022-11-23T01:30:35.1970423Z arg0_1, = args 2022-11-23T01:30:35.1970562Z args.clear() 2022-11-23T01:30:35.1970749Z buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4]) 2022-11-23T01:30:35.1970876Z del arg0_1 2022-11-23T01:30:35.1970957Z buf1 = buf0 2022-11-23T01:30:35.1971134Z assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1)) 2022-11-23T01:30:35.1971265Z del buf0 2022-11-23T01:30:35.1971397Z return (buf1, ) 2022-11-23T01:30:35.1971408Z 2022-11-23T01:30:35.1971414Z 2022-11-23T01:30:35.1971571Z if __name__ == "__main__": 2022-11-23T01:30:35.1971794Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.1972050Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.1972436Z arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.1972568Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.1972574Z 2022-11-23T01:30:35.1972699Z ok (0.025s) 2022-11-23T01:30:35.1973198Z test_add_const_float_cpu (__main__.CpuTests) ... [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.1973704Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.1974066Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.1974468Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.1975041Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.1975549Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1976074Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1976566Z [2022-11-23 01:22:04,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.1977087Z [2022-11-23 01:22:04,623] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.1977325Z 650 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.1977484Z 2 LOAD_CONST 1 (1.5) 2022-11-23T01:30:35.1977621Z 4 BINARY_ADD 2022-11-23T01:30:35.1977818Z 6 BUILD_TUPLE 1 2022-11-23T01:30:35.1978001Z 8 RETURN_VALUE 2022-11-23T01:30:35.1978122Z 2022-11-23T01:30:35.1978133Z 2022-11-23T01:30:35.1978623Z [2022-11-23 01:22:04,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:650 2022-11-23T01:30:35.1978902Z [2022-11-23 01:22:04,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.1979294Z [2022-11-23 01:22:04,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()] 2022-11-23T01:30:35.1979738Z [2022-11-23 01:22:04,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.1980125Z [2022-11-23 01:22:04,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.1980532Z [2022-11-23 01:22:04,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1981140Z [2022-11-23 01:22:04,624] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.1981577Z [2022-11-23 01:22:04,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.1981963Z [2022-11-23 01:22:04,624] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.1982385Z [2022-11-23 01:22:04,625] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.1982788Z [2022-11-23 01:22:04,627] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.1983052Z [2022-11-23 01:22:04,627] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.1983282Z __compiled_fn_10 .77 opcode, name, target, args, kwargs 2022-11-23T01:30:35.1983440Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.1983734Z call_function, add, , (ex_0_, 1.5), {} 2022-11-23T01:30:35.1983948Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.1983958Z 2022-11-23T01:30:35.1984519Z [2022-11-23 01:22:04,627] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1984692Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.1984855Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1984958Z 4 BUILD_MAP 0 2022-11-23T01:30:35.1985115Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.1985269Z 8 DICT_MERGE 1 2022-11-23T01:30:35.1985425Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.1985561Z 12 RETURN_VALUE 2022-11-23T01:30:35.1985640Z 2022-11-23T01:30:35.1985768Z 2022-11-23T01:30:35.1986330Z [2022-11-23 01:22:04,628] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.1986465Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_10) 2022-11-23T01:30:35.1986624Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.1986781Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1986923Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.1987075Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.1987249Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1987480Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.1987633Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.1987784Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.1987975Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.1988121Z 20 RETURN_VALUE 2022-11-23T01:30:35.1988130Z 2022-11-23T01:30:35.1988244Z 2022-11-23T01:30:35.1988564Z [2022-11-23 01:22:04,628] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.1988696Z - 2022-11-23T01:30:35.1988918Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.1988997Z { 2022-11-23T01:30:35.1989229Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.1989543Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.1989780Z 'obj_weakref': None 2022-11-23T01:30:35.1990145Z 'guarded_class': 2022-11-23T01:30:35.1990270Z } 2022-11-23T01:30:35.1990398Z 2022-11-23T01:30:35.1990480Z - 2022-11-23T01:30:35.1990705Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.1990871Z { 2022-11-23T01:30:35.1991108Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.1991299Z 'code': None, 2022-11-23T01:30:35.1991673Z 'obj_weakref': 2022-11-23T01:30:35.1992050Z 'guarded_class': 2022-11-23T01:30:35.1992124Z } 2022-11-23T01:30:35.1992250Z 2022-11-23T01:30:35.1992388Z - 2022-11-23T01:30:35.1992610Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.1992729Z { 2022-11-23T01:30:35.1992947Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.1993223Z 'code': ['___check_obj_id(model, 140534626917616)'], 2022-11-23T01:30:35.1993375Z 'obj_weakref': None 2022-11-23T01:30:35.1993792Z 'guarded_class': 2022-11-23T01:30:35.1993926Z } 2022-11-23T01:30:35.1994057Z 2022-11-23T01:30:35.1994183Z - 2022-11-23T01:30:35.1994427Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.1994543Z { 2022-11-23T01:30:35.1994715Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.1995067Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.1995277Z 'obj_weakref': None 2022-11-23T01:30:35.1995661Z 'guarded_class': 2022-11-23T01:30:35.1995795Z } 2022-11-23T01:30:35.1995912Z 2022-11-23T01:30:35.1996327Z [2022-11-23 01:22:04,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10 2022-11-23T01:30:35.1996865Z [2022-11-23 01:22:06,092] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/35/c35g2ve6leexcgnzjwcwpa3gjtfsde6iazgq3e2t6mae6bmtmk3k.py 2022-11-23T01:30:35.1997374Z [2022-11-23 01:22:06,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10 2022-11-23T01:30:35.1997385Z 2022-11-23T01:30:35.1997551Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.1997675Z import torch 2022-11-23T01:30:35.1997821Z import random 2022-11-23T01:30:35.1998054Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.1998258Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.1998267Z 2022-11-23T01:30:35.1998413Z aten = torch.ops.aten 2022-11-23T01:30:35.1998595Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.1998823Z async_compile = AsyncCompile() 2022-11-23T01:30:35.1998831Z 2022-11-23T01:30:35.1998837Z 2022-11-23T01:30:35.1999066Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.1999378Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.1999645Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.1999809Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.1999966Z { 2022-11-23T01:30:35.2000228Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2000302Z { 2022-11-23T01:30:35.2000438Z #pragma omp for 2022-11-23T01:30:35.2000582Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.2000700Z { 2022-11-23T01:30:35.2000949Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.2001171Z auto tmp1 = at::vec::Vectorized(static_cast(1.5)); 2022-11-23T01:30:35.2001320Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2001431Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.2001588Z } 2022-11-23T01:30:35.2001762Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2001952Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:35.2002073Z { 2022-11-23T01:30:35.2002230Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2002401Z auto tmp1 = static_cast(1.5); 2022-11-23T01:30:35.2002509Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2002653Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.2002769Z } 2022-11-23T01:30:35.2002924Z } 2022-11-23T01:30:35.2003042Z } 2022-11-23T01:30:35.2003204Z ''') 2022-11-23T01:30:35.2003213Z 2022-11-23T01:30:35.2003220Z 2022-11-23T01:30:35.2003391Z async_compile.wait(globals()) 2022-11-23T01:30:35.2003478Z del async_compile 2022-11-23T01:30:35.2003485Z 2022-11-23T01:30:35.2003611Z def call(args): 2022-11-23T01:30:35.2003738Z arg0_1, = args 2022-11-23T01:30:35.2003866Z args.clear() 2022-11-23T01:30:35.2004181Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2004426Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2004555Z del arg0_1 2022-11-23T01:30:35.2004641Z return (buf0, ) 2022-11-23T01:30:35.2004647Z 2022-11-23T01:30:35.2004885Z 2022-11-23T01:30:35.2004980Z if __name__ == "__main__": 2022-11-23T01:30:35.2005179Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2005382Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2005699Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2005877Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2005884Z 2022-11-23T01:30:35.2006011Z ok (1.511s) 2022-11-23T01:30:35.2006528Z test_add_const_int_cpu (__main__.CpuTests) ... [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2007038Z [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2007334Z [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2007772Z [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2008331Z [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2008841Z [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2009381Z [2022-11-23 01:22:06,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2009886Z [2022-11-23 01:22:06,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2010478Z [2022-11-23 01:22:06,137] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2010817Z 644 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2010985Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:35.2011069Z 4 BINARY_ADD 2022-11-23T01:30:35.2011225Z 6 BUILD_TUPLE 1 2022-11-23T01:30:35.2011359Z 8 RETURN_VALUE 2022-11-23T01:30:35.2011475Z 2022-11-23T01:30:35.2011485Z 2022-11-23T01:30:35.2011985Z [2022-11-23 01:22:06,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:644 2022-11-23T01:30:35.2012326Z [2022-11-23 01:22:06,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.2012705Z [2022-11-23 01:22:06,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.2013189Z [2022-11-23 01:22:06,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2013577Z [2022-11-23 01:22:06,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.2013919Z [2022-11-23 01:22:06,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2014507Z [2022-11-23 01:22:06,139] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2014886Z [2022-11-23 01:22:06,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2015247Z [2022-11-23 01:22:06,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2015647Z [2022-11-23 01:22:06,141] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2016023Z [2022-11-23 01:22:06,145] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2016322Z [2022-11-23 01:22:06,145] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2016631Z __compiled_fn_11 .83 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2016780Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2017002Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.2017171Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.2017182Z 2022-11-23T01:30:35.2017673Z [2022-11-23 01:22:06,145] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2017846Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2017997Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2018146Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2018304Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2018412Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2018604Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2018812Z 12 RETURN_VALUE 2022-11-23T01:30:35.2018822Z 2022-11-23T01:30:35.2018946Z 2022-11-23T01:30:35.2019437Z [2022-11-23 01:22:06,145] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2019621Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_11) 2022-11-23T01:30:35.2019783Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2019939Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2020023Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2020231Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2020444Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2020619Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2020832Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2020963Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2021114Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.2021206Z 20 RETURN_VALUE 2022-11-23T01:30:35.2021266Z 2022-11-23T01:30:35.2021338Z 2022-11-23T01:30:35.2021646Z [2022-11-23 01:22:06,146] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2021783Z - 2022-11-23T01:30:35.2022025Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2022146Z { 2022-11-23T01:30:35.2022385Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2022635Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2022841Z 'obj_weakref': None 2022-11-23T01:30:35.2023189Z 'guarded_class': 2022-11-23T01:30:35.2023315Z } 2022-11-23T01:30:35.2023479Z 2022-11-23T01:30:35.2023621Z - 2022-11-23T01:30:35.2023866Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2023937Z { 2022-11-23T01:30:35.2024172Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2024361Z 'code': None, 2022-11-23T01:30:35.2024692Z 'obj_weakref': 2022-11-23T01:30:35.2025072Z 'guarded_class': 2022-11-23T01:30:35.2025194Z } 2022-11-23T01:30:35.2025325Z 2022-11-23T01:30:35.2025407Z - 2022-11-23T01:30:35.2025619Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2025788Z { 2022-11-23T01:30:35.2026011Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2026280Z 'code': ['___check_obj_id(model, 140534727800384)'], 2022-11-23T01:30:35.2026478Z 'obj_weakref': None 2022-11-23T01:30:35.2026848Z 'guarded_class': 2022-11-23T01:30:35.2027019Z } 2022-11-23T01:30:35.2027090Z 2022-11-23T01:30:35.2027222Z - 2022-11-23T01:30:35.2027433Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2027584Z { 2022-11-23T01:30:35.2027814Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2028157Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2028307Z 'obj_weakref': None 2022-11-23T01:30:35.2028653Z 'guarded_class': 2022-11-23T01:30:35.2028787Z } 2022-11-23T01:30:35.2028908Z 2022-11-23T01:30:35.2029318Z [2022-11-23 01:22:06,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11 2022-11-23T01:30:35.2029855Z [2022-11-23 01:22:07,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctu6l26jzsbb4h6ydx4yetx7owyv6pm6774xje5aonfijmcengwy.py 2022-11-23T01:30:35.2030369Z [2022-11-23 01:22:07,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11 2022-11-23T01:30:35.2030380Z 2022-11-23T01:30:35.2030541Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2030687Z import torch 2022-11-23T01:30:35.2030770Z import random 2022-11-23T01:30:35.2030959Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2031203Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2031211Z 2022-11-23T01:30:35.2031351Z aten = torch.ops.aten 2022-11-23T01:30:35.2031569Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2031723Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2031730Z 2022-11-23T01:30:35.2031737Z 2022-11-23T01:30:35.2032001Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2032318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2032530Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2032700Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2032817Z { 2022-11-23T01:30:35.2032988Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2033102Z { 2022-11-23T01:30:35.2033243Z #pragma omp for 2022-11-23T01:30:35.2033339Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.2033457Z { 2022-11-23T01:30:35.2033723Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.2033939Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.2034083Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2034277Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.2034397Z } 2022-11-23T01:30:35.2034561Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2034652Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:35.2034775Z { 2022-11-23T01:30:35.2034930Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2035134Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.2035280Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2035420Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.2035532Z } 2022-11-23T01:30:35.2035595Z } 2022-11-23T01:30:35.2035706Z } 2022-11-23T01:30:35.2035863Z ''') 2022-11-23T01:30:35.2035873Z 2022-11-23T01:30:35.2035880Z 2022-11-23T01:30:35.2036047Z async_compile.wait(globals()) 2022-11-23T01:30:35.2036179Z del async_compile 2022-11-23T01:30:35.2036187Z 2022-11-23T01:30:35.2036344Z def call(args): 2022-11-23T01:30:35.2036475Z arg0_1, = args 2022-11-23T01:30:35.2036555Z args.clear() 2022-11-23T01:30:35.2036874Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2037130Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2037260Z del arg0_1 2022-11-23T01:30:35.2037398Z return (buf0, ) 2022-11-23T01:30:35.2037405Z 2022-11-23T01:30:35.2037410Z 2022-11-23T01:30:35.2037545Z if __name__ == "__main__": 2022-11-23T01:30:35.2037736Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2037894Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2038235Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2038412Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2038419Z 2022-11-23T01:30:35.2038545Z ok (1.459s) 2022-11-23T01:30:35.2039054Z test_add_inplace_permuted_cpu (__main__.CpuTests) ... [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2039565Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2039900Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2040467Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2040910Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2041364Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2041935Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2042439Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2043054Z [2022-11-23 01:22:07,594] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2043278Z 656 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2043440Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:30:35.2043599Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.2043754Z 6 CALL_METHOD 1 2022-11-23T01:30:35.2043892Z 8 RETURN_VALUE 2022-11-23T01:30:35.2043958Z 2022-11-23T01:30:35.2043966Z 2022-11-23T01:30:35.2044491Z [2022-11-23 01:22:07,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:656 2022-11-23T01:30:35.2044967Z [2022-11-23 01:22:07,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2045353Z [2022-11-23 01:22:07,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.2045782Z [2022-11-23 01:22:07,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.2046264Z [2022-11-23 01:22:07,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.2046648Z [2022-11-23 01:22:07,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2047208Z [2022-11-23 01:22:07,596] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2047604Z [2022-11-23 01:22:07,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2048041Z [2022-11-23 01:22:07,596] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2048390Z [2022-11-23 01:22:07,597] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2048911Z [2022-11-23 01:22:07,599] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.2049326Z [2022-11-23 01:22:07,599] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.2049710Z [2022-11-23 01:22:07,599] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2050014Z [2022-11-23 01:22:07,599] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2050230Z __compiled_fn_12 .86 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2050386Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2050545Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.2050665Z call_method, add_, add_, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.2050879Z output, output, output, ((add_,),), {} 2022-11-23T01:30:35.2050888Z 2022-11-23T01:30:35.2051398Z [2022-11-23 01:22:07,600] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2051658Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2051815Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2051972Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2052139Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2052290Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2052399Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2052533Z 12 RETURN_VALUE 2022-11-23T01:30:35.2052542Z 2022-11-23T01:30:35.2052744Z 2022-11-23T01:30:35.2053256Z [2022-11-23 01:22:07,600] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2053434Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_12) 2022-11-23T01:30:35.2053665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2053827Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2053964Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2054077Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2054233Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2054373Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.2054565Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.2054720Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2054858Z 18 RETURN_VALUE 2022-11-23T01:30:35.2054867Z 2022-11-23T01:30:35.2054994Z 2022-11-23T01:30:35.2055241Z [2022-11-23 01:22:07,600] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2055370Z - 2022-11-23T01:30:35.2055566Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2055694Z { 2022-11-23T01:30:35.2055975Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2056327Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.2056524Z 'obj_weakref': None 2022-11-23T01:30:35.2056839Z 'guarded_class': 2022-11-23T01:30:35.2056978Z } 2022-11-23T01:30:35.2057104Z 2022-11-23T01:30:35.2057230Z - 2022-11-23T01:30:35.2057446Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2057564Z { 2022-11-23T01:30:35.2057800Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2057939Z 'code': None, 2022-11-23T01:30:35.2058315Z 'obj_weakref': 2022-11-23T01:30:35.2058730Z 'guarded_class': 2022-11-23T01:30:35.2058859Z } 2022-11-23T01:30:35.2058978Z 2022-11-23T01:30:35.2059114Z - 2022-11-23T01:30:35.2059331Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.2059401Z { 2022-11-23T01:30:35.2059676Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2059864Z 'code': None, 2022-11-23T01:30:35.2060249Z 'obj_weakref': 2022-11-23T01:30:35.2060653Z 'guarded_class': 2022-11-23T01:30:35.2060777Z } 2022-11-23T01:30:35.2060902Z 2022-11-23T01:30:35.2060981Z - 2022-11-23T01:30:35.2061199Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2061323Z { 2022-11-23T01:30:35.2061545Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2061829Z 'code': ['___check_obj_id(model, 140534642200864)'], 2022-11-23T01:30:35.2062072Z 'obj_weakref': None 2022-11-23T01:30:35.2062433Z 'guarded_class': 2022-11-23T01:30:35.2062508Z } 2022-11-23T01:30:35.2062630Z 2022-11-23T01:30:35.2062759Z - 2022-11-23T01:30:35.2063030Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2063198Z { 2022-11-23T01:30:35.2063419Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2063764Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2063912Z 'obj_weakref': None 2022-11-23T01:30:35.2064311Z 'guarded_class': 2022-11-23T01:30:35.2064436Z } 2022-11-23T01:30:35.2064561Z 2022-11-23T01:30:35.2065073Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py 2022-11-23T01:30:35.2065569Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.2066114Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.2066576Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.2067078Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:30:35.2067415Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping wraps /opt/conda/lib/python3.10/functools.py 2022-11-23T01:30:35.2067859Z [2022-11-23 01:22:07,601] torch._dynamo.eval_frame: [DEBUG] skipping update_wrapper /opt/conda/lib/python3.10/functools.py 2022-11-23T01:30:35.2067985Z ok (0.012s) 2022-11-23T01:30:35.2068456Z test_addmm_cpu (__main__.CpuTests) ... [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2068961Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2069343Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2069728Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2070148Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2070655Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2071142Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2071717Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2072322Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2072513Z 1334 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2072679Z 2 LOAD_METHOD 1 (addmm) 2022-11-23T01:30:35.2072845Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2073004Z 6 LOAD_CONST 1 (1) 2022-11-23T01:30:35.2073143Z 8 BINARY_ADD 2022-11-23T01:30:35.2073296Z 10 LOAD_FAST 1 (b) 2022-11-23T01:30:35.2073403Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2073595Z 14 BINARY_ADD 2022-11-23T01:30:35.2073761Z 16 LOAD_FAST 2 (c) 2022-11-23T01:30:35.2073925Z 18 LOAD_CONST 3 (3) 2022-11-23T01:30:35.2074184Z 20 BINARY_ADD 2022-11-23T01:30:35.2074346Z 22 CALL_METHOD 3 2022-11-23T01:30:35.2074501Z 24 LOAD_CONST 4 (4) 2022-11-23T01:30:35.2074583Z 26 BINARY_ADD 2022-11-23T01:30:35.2074738Z 28 BUILD_TUPLE 1 2022-11-23T01:30:35.2074894Z 30 RETURN_VALUE 2022-11-23T01:30:35.2075054Z 2022-11-23T01:30:35.2075064Z 2022-11-23T01:30:35.2075596Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1334 2022-11-23T01:30:35.2075957Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2076522Z [2022-11-23 01:22:07,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable()] 2022-11-23T01:30:35.2077122Z [2022-11-23 01:22:07,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.2077624Z [2022-11-23 01:22:07,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2078250Z [2022-11-23 01:22:07,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2078813Z [2022-11-23 01:22:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2079401Z [2022-11-23 01:22:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2080205Z [2022-11-23 01:22:07,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2080792Z [2022-11-23 01:22:07,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2081472Z [2022-11-23 01:22:07,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2082164Z [2022-11-23 01:22:07,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2082815Z [2022-11-23 01:22:07,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2083214Z [2022-11-23 01:22:07,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()] 2022-11-23T01:30:35.2083662Z [2022-11-23 01:22:07,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2084044Z [2022-11-23 01:22:07,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.2084487Z [2022-11-23 01:22:07,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2085154Z [2022-11-23 01:22:07,613] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2085666Z [2022-11-23 01:22:07,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2086050Z [2022-11-23 01:22:07,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2086472Z [2022-11-23 01:22:07,614] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2086870Z [2022-11-23 01:22:07,620] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2087176Z [2022-11-23 01:22:07,621] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2087383Z __compiled_fn_13 .92 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2087540Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2087748Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.2087930Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.2088257Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.2088548Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:30:35.2088822Z call_function, add_2, , (ex_2_, 3), {} 2022-11-23T01:30:35.2089198Z call_function, addmm, , (add, add_1, add_2), {} 2022-11-23T01:30:35.2089481Z call_function, add_3, , (addmm, 4), {} 2022-11-23T01:30:35.2089657Z output, output, output, ((add_3,),), {} 2022-11-23T01:30:35.2089667Z 2022-11-23T01:30:35.2090185Z [2022-11-23 01:22:07,621] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2090300Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2090507Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2090679Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2090843Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2090998Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2091152Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2091288Z 12 RETURN_VALUE 2022-11-23T01:30:35.2091297Z 2022-11-23T01:30:35.2091362Z 2022-11-23T01:30:35.2091883Z [2022-11-23 01:22:07,621] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2092069Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_13) 2022-11-23T01:30:35.2092315Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2092476Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2092613Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2092762Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2092915Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2093014Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.2093169Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2093327Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2093477Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.2093668Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.2093846Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2094070Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2094183Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2094319Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.2094476Z 30 BUILD_TUPLE 1 2022-11-23T01:30:35.2094615Z 32 RETURN_VALUE 2022-11-23T01:30:35.2094623Z 2022-11-23T01:30:35.2094753Z 2022-11-23T01:30:35.2095061Z [2022-11-23 01:22:07,622] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2095266Z - 2022-11-23T01:30:35.2095428Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2095548Z { 2022-11-23T01:30:35.2095827Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2096193Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.2096404Z 'obj_weakref': None 2022-11-23T01:30:35.2096755Z 'guarded_class': 2022-11-23T01:30:35.2096876Z } 2022-11-23T01:30:35.2096946Z 2022-11-23T01:30:35.2097117Z - 2022-11-23T01:30:35.2097358Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2097481Z { 2022-11-23T01:30:35.2097718Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2097911Z 'code': None, 2022-11-23T01:30:35.2098257Z 'obj_weakref': 2022-11-23T01:30:35.2098597Z 'guarded_class': 2022-11-23T01:30:35.2098794Z } 2022-11-23T01:30:35.2098949Z 2022-11-23T01:30:35.2099082Z - 2022-11-23T01:30:35.2099332Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.2099431Z { 2022-11-23T01:30:35.2215154Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2215522Z 'code': None, 2022-11-23T01:30:35.2215883Z 'obj_weakref': 2022-11-23T01:30:35.2216316Z 'guarded_class': 2022-11-23T01:30:35.2216427Z } 2022-11-23T01:30:35.2216536Z 2022-11-23T01:30:35.2216644Z - 2022-11-23T01:30:35.2216858Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.2216970Z { 2022-11-23T01:30:35.2217228Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2217417Z 'code': None, 2022-11-23T01:30:35.2217767Z 'obj_weakref': 2022-11-23T01:30:35.2218196Z 'guarded_class': 2022-11-23T01:30:35.2218296Z } 2022-11-23T01:30:35.2218418Z 2022-11-23T01:30:35.2218525Z - 2022-11-23T01:30:35.2218751Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2218861Z { 2022-11-23T01:30:35.2219087Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2219367Z 'code': ['___check_obj_id(model, 140534660108720)'], 2022-11-23T01:30:35.2219549Z 'obj_weakref': None 2022-11-23T01:30:35.2219943Z 'guarded_class': 2022-11-23T01:30:35.2220049Z } 2022-11-23T01:30:35.2220159Z 2022-11-23T01:30:35.2220266Z - 2022-11-23T01:30:35.2220477Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2220592Z { 2022-11-23T01:30:35.2220821Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2221192Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2221368Z 'obj_weakref': None 2022-11-23T01:30:35.2221701Z 'guarded_class': 2022-11-23T01:30:35.2221795Z } 2022-11-23T01:30:35.2221887Z 2022-11-23T01:30:35.2221984Z - 2022-11-23T01:30:35.2222174Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2222268Z { 2022-11-23T01:30:35.2222462Z 'guard_types': None, 2022-11-23T01:30:35.2222625Z 'code': None, 2022-11-23T01:30:35.2222808Z 'obj_weakref': None 2022-11-23T01:30:35.2222990Z 'guarded_class': None 2022-11-23T01:30:35.2223097Z } 2022-11-23T01:30:35.2223191Z 2022-11-23T01:30:35.2223628Z [2022-11-23 01:22:07,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12 2022-11-23T01:30:35.2224511Z [2022-11-23 01:22:09,146] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hi/chi5gddipza5jomol2yyvgthtieyyqfog63nabmkafhoumznnxnz.py 2022-11-23T01:30:35.2224981Z [2022-11-23 01:22:09,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12 2022-11-23T01:30:35.2224993Z 2022-11-23T01:30:35.2225150Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2225273Z import torch 2022-11-23T01:30:35.2225396Z import random 2022-11-23T01:30:35.2225590Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2225798Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2225806Z 2022-11-23T01:30:35.2225943Z aten = torch.ops.aten 2022-11-23T01:30:35.2226175Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2226407Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2226415Z 2022-11-23T01:30:35.2226422Z 2022-11-23T01:30:35.2226649Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2226996Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2227204Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2227378Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.2227544Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.2227712Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.2227875Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.2228040Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.2228139Z { 2022-11-23T01:30:35.2228314Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2228415Z { 2022-11-23T01:30:35.2228525Z #pragma omp for 2022-11-23T01:30:35.2228664Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2228768Z { 2022-11-23T01:30:35.2228996Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.2229235Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.2229373Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2229526Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.2229619Z } 2022-11-23T01:30:35.2229779Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2229912Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.2230024Z { 2022-11-23T01:30:35.2230169Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2230338Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.2230480Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2230609Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.2230722Z } 2022-11-23T01:30:35.2230851Z #pragma omp for 2022-11-23T01:30:35.2230987Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2231094Z { 2022-11-23T01:30:35.2231304Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.2231525Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.2231660Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2231795Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.2231889Z } 2022-11-23T01:30:35.2232040Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2232179Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.2232291Z { 2022-11-23T01:30:35.2232441Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.2232615Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.2232768Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2232887Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.2232980Z } 2022-11-23T01:30:35.2233091Z #pragma omp for 2022-11-23T01:30:35.2233287Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2233381Z { 2022-11-23T01:30:35.2233594Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:30:35.2233943Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:35.2234104Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2234256Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.2234366Z } 2022-11-23T01:30:35.2234526Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2234671Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.2234762Z { 2022-11-23T01:30:35.2234910Z auto tmp0 = in_ptr2[i0]; 2022-11-23T01:30:35.2235085Z auto tmp1 = static_cast(3); 2022-11-23T01:30:35.2235240Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2235388Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:35.2235495Z } 2022-11-23T01:30:35.2235605Z } 2022-11-23T01:30:35.2235772Z } 2022-11-23T01:30:35.2235934Z ''') 2022-11-23T01:30:35.2235944Z 2022-11-23T01:30:35.2235949Z 2022-11-23T01:30:35.2236179Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.2236525Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2236724Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.2236834Z { 2022-11-23T01:30:35.2236999Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2237102Z { 2022-11-23T01:30:35.2237233Z #pragma omp for 2022-11-23T01:30:35.2237370Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2237471Z { 2022-11-23T01:30:35.2237701Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.2237919Z auto tmp1 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:30:35.2238066Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2238211Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.2238323Z } 2022-11-23T01:30:35.2238479Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2238616Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.2238730Z { 2022-11-23T01:30:35.2238879Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.2239044Z auto tmp1 = static_cast(4); 2022-11-23T01:30:35.2239169Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2239311Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.2239418Z } 2022-11-23T01:30:35.2239519Z } 2022-11-23T01:30:35.2239626Z } 2022-11-23T01:30:35.2239767Z ''') 2022-11-23T01:30:35.2239776Z 2022-11-23T01:30:35.2239783Z 2022-11-23T01:30:35.2239926Z async_compile.wait(globals()) 2022-11-23T01:30:35.2240107Z del async_compile 2022-11-23T01:30:35.2240116Z 2022-11-23T01:30:35.2240231Z def call(args): 2022-11-23T01:30:35.2240375Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.2240499Z args.clear() 2022-11-23T01:30:35.2240834Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2241163Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2241491Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2241891Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.2242003Z del arg0_1 2022-11-23T01:30:35.2242137Z del arg1_1 2022-11-23T01:30:35.2242246Z del arg2_1 2022-11-23T01:30:35.2242557Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2242758Z aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3) 2022-11-23T01:30:35.2242871Z del buf0 2022-11-23T01:30:35.2242969Z del buf1 2022-11-23T01:30:35.2243061Z del buf2 2022-11-23T01:30:35.2243198Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:30:35.2243370Z kernel_cpp_1(c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.2243483Z return (buf4, ) 2022-11-23T01:30:35.2243490Z 2022-11-23T01:30:35.2243496Z 2022-11-23T01:30:35.2243720Z if __name__ == "__main__": 2022-11-23T01:30:35.2243912Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2244114Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2244425Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2244905Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2245232Z arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2245439Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.2245448Z 2022-11-23T01:30:35.2245557Z ok (1.546s) 2022-11-23T01:30:35.2246089Z test_alexnet_prefix_cpu (__main__.CpuTests) ... [2022-11-23 01:22:09,200] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2246759Z [2022-11-23 01:22:09,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2247130Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2247555Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2248028Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2248577Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2249178Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2249754Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2250427Z [2022-11-23 01:22:09,201] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2250577Z 2078 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2250724Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.2250876Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.2251043Z 6 LOAD_METHOD 3 (convolution) 2022-11-23T01:30:35.2251053Z 2022-11-23T01:30:35.2251208Z 2079 8 LOAD_FAST 2 (arg16) 2022-11-23T01:30:35.2251353Z 10 LOAD_FAST 1 (arg7) 2022-11-23T01:30:35.2251495Z 12 LOAD_FAST 0 (arg6) 2022-11-23T01:30:35.2251639Z 14 LOAD_CONST 1 (4) 2022-11-23T01:30:35.2251787Z 16 LOAD_CONST 1 (4) 2022-11-23T01:30:35.2251931Z 18 BUILD_LIST 2 2022-11-23T01:30:35.2252082Z 20 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2252240Z 22 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2252377Z 24 BUILD_LIST 2 2022-11-23T01:30:35.2252519Z 26 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2252658Z 28 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2252806Z 30 BUILD_LIST 2 2022-11-23T01:30:35.2252960Z 32 LOAD_CONST 4 (False) 2022-11-23T01:30:35.2253100Z 34 LOAD_CONST 5 (0) 2022-11-23T01:30:35.2253226Z 36 LOAD_CONST 5 (0) 2022-11-23T01:30:35.2253361Z 38 BUILD_LIST 2 2022-11-23T01:30:35.2253492Z 40 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2253504Z 2022-11-23T01:30:35.2253643Z 2078 42 CALL_METHOD 9 2022-11-23T01:30:35.2253811Z 44 STORE_FAST 3 (convolution) 2022-11-23T01:30:35.2253934Z 2022-11-23T01:30:35.2254100Z 2081 46 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2254242Z 48 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.2254381Z 50 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.2254528Z 52 LOAD_METHOD 4 (relu) 2022-11-23T01:30:35.2254677Z 54 LOAD_FAST 3 (convolution) 2022-11-23T01:30:35.2254807Z 56 CALL_METHOD 1 2022-11-23T01:30:35.2254955Z 58 STORE_FAST 4 (relu) 2022-11-23T01:30:35.2254961Z 2022-11-23T01:30:35.2255105Z 2082 60 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2255254Z 62 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.2255407Z 64 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.2255669Z 66 LOAD_METHOD 5 (max_pool2d_with_indices) 2022-11-23T01:30:35.2255677Z 2022-11-23T01:30:35.2255828Z 2083 68 LOAD_FAST 4 (relu) 2022-11-23T01:30:35.2255967Z 70 LOAD_CONST 6 (3) 2022-11-23T01:30:35.2256112Z 72 LOAD_CONST 6 (3) 2022-11-23T01:30:35.2256247Z 74 BUILD_LIST 2 2022-11-23T01:30:35.2256408Z 76 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2256533Z 78 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2256675Z 80 BUILD_LIST 2 2022-11-23T01:30:35.2256684Z 2022-11-23T01:30:35.2256804Z 2082 82 CALL_METHOD 3 2022-11-23T01:30:35.2256976Z 84 STORE_FAST 5 (max_pool2d_with_indices) 2022-11-23T01:30:35.2256992Z 2022-11-23T01:30:35.2257154Z 2085 86 LOAD_FAST 5 (max_pool2d_with_indices) 2022-11-23T01:30:35.2257298Z 88 LOAD_CONST 5 (0) 2022-11-23T01:30:35.2257407Z 90 BINARY_SUBSCR 2022-11-23T01:30:35.2257558Z 92 STORE_FAST 6 (getitem) 2022-11-23T01:30:35.2257565Z 2022-11-23T01:30:35.2257701Z 2086 94 LOAD_FAST 6 (getitem) 2022-11-23T01:30:35.2257828Z 96 BUILD_TUPLE 1 2022-11-23T01:30:35.2257930Z 98 RETURN_VALUE 2022-11-23T01:30:35.2258025Z 2022-11-23T01:30:35.2258038Z 2022-11-23T01:30:35.2258559Z [2022-11-23 01:22:09,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078 2022-11-23T01:30:35.2258912Z [2022-11-23 01:22:09,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2259486Z [2022-11-23 01:22:09,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.2259959Z [2022-11-23 01:22:09,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.2260477Z [2022-11-23 01:22:09,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable()] 2022-11-23T01:30:35.2260995Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2079 2022-11-23T01:30:35.2261409Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)] 2022-11-23T01:30:35.2261856Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()] 2022-11-23T01:30:35.2262359Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2262966Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2263522Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2264129Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2264668Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2265261Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2266014Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2266598Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2267227Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2267902Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2268535Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2269187Z [2022-11-23 01:22:09,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.2269901Z [2022-11-23 01:22:09,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:30:35.2270693Z [2022-11-23 01:22:09,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2271406Z [2022-11-23 01:22:09,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:30:35.2271858Z [2022-11-23 01:22:09,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078 2022-11-23T01:30:35.2272706Z [2022-11-23 01:22:09,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2273168Z [2022-11-23 01:22:09,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()] 2022-11-23T01:30:35.2273819Z [2022-11-23 01:22:09,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2081 2022-11-23T01:30:35.2274207Z [2022-11-23 01:22:09,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2274824Z [2022-11-23 01:22:09,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.2275330Z [2022-11-23 01:22:09,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.2275851Z [2022-11-23 01:22:09,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable()] 2022-11-23T01:30:35.2276382Z [2022-11-23 01:22:09,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)] 2022-11-23T01:30:35.2276878Z [2022-11-23 01:22:09,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()] 2022-11-23T01:30:35.2277300Z [2022-11-23 01:22:09,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()] 2022-11-23T01:30:35.2277853Z [2022-11-23 01:22:09,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082 2022-11-23T01:30:35.2278185Z [2022-11-23 01:22:09,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2278806Z [2022-11-23 01:22:09,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.2279326Z [2022-11-23 01:22:09,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.2279960Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:35.2280651Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2083 2022-11-23T01:30:35.2281193Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:35.2281783Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:35.2282449Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2283199Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2283838Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2284549Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2285495Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2286107Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082 2022-11-23T01:30:35.2286937Z [2022-11-23 01:22:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2287458Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()] 2022-11-23T01:30:35.2288062Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2085 2022-11-23T01:30:35.2288514Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices [] 2022-11-23T01:30:35.2288959Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:30:35.2289507Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2290043Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()] 2022-11-23T01:30:35.2290645Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2086 2022-11-23T01:30:35.2291055Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem [] 2022-11-23T01:30:35.2291510Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.2291970Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2292711Z [2022-11-23 01:22:09,228] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2293164Z [2022-11-23 01:22:09,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2293613Z [2022-11-23 01:22:09,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2294096Z [2022-11-23 01:22:09,230] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2294568Z [2022-11-23 01:22:09,236] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2294914Z [2022-11-23 01:22:09,236] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2295166Z __compiled_fn_14 .98 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2295335Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2295508Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.2295664Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.2295958Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {} 2022-11-23T01:30:35.2296182Z call_function, relu, aten.relu, (convolution,), {} 2022-11-23T01:30:35.2296481Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {} 2022-11-23T01:30:35.2296903Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:35.2297101Z output, output, output, ((getitem,),), {} 2022-11-23T01:30:35.2297112Z 2022-11-23T01:30:35.2297737Z [2022-11-23 01:22:09,237] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2297907Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2298075Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2298226Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2298395Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2298559Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2298731Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2298882Z 12 RETURN_VALUE 2022-11-23T01:30:35.2298891Z 2022-11-23T01:30:35.2299012Z 2022-11-23T01:30:35.2299740Z [2022-11-23 01:22:09,237] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2299948Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_14) 2022-11-23T01:30:35.2300109Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2300275Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2300419Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2300582Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2300745Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2300891Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.2301057Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2301211Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2301422Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.2301591Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.2301783Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2301970Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2302133Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2302279Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.2302436Z 30 BUILD_TUPLE 1 2022-11-23T01:30:35.2302581Z 32 RETURN_VALUE 2022-11-23T01:30:35.2302591Z 2022-11-23T01:30:35.2302711Z 2022-11-23T01:30:35.2303056Z [2022-11-23 01:22:09,237] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2303194Z - 2022-11-23T01:30:35.2303419Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2303545Z { 2022-11-23T01:30:35.2303793Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2304133Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.2304362Z 'obj_weakref': None 2022-11-23T01:30:35.2304773Z 'guarded_class': 2022-11-23T01:30:35.2304905Z } 2022-11-23T01:30:35.2305034Z 2022-11-23T01:30:35.2305171Z - 2022-11-23T01:30:35.2305394Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2305517Z { 2022-11-23T01:30:35.2305781Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2305982Z 'code': None, 2022-11-23T01:30:35.2306367Z 'obj_weakref': 2022-11-23T01:30:35.2306833Z 'guarded_class': 2022-11-23T01:30:35.2306964Z } 2022-11-23T01:30:35.2307080Z 2022-11-23T01:30:35.2307220Z - 2022-11-23T01:30:35.2307455Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.2307590Z { 2022-11-23T01:30:35.2307856Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2308054Z 'code': None, 2022-11-23T01:30:35.2308453Z 'obj_weakref': 2022-11-23T01:30:35.2308908Z 'guarded_class': 2022-11-23T01:30:35.2309038Z } 2022-11-23T01:30:35.2309161Z 2022-11-23T01:30:35.2309299Z - 2022-11-23T01:30:35.2309525Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.2309651Z { 2022-11-23T01:30:35.2309912Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2310100Z 'code': None, 2022-11-23T01:30:35.2310485Z 'obj_weakref': 2022-11-23T01:30:35.2310947Z 'guarded_class': 2022-11-23T01:30:35.2311081Z } 2022-11-23T01:30:35.2311208Z 2022-11-23T01:30:35.2311346Z - 2022-11-23T01:30:35.2311681Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2311808Z { 2022-11-23T01:30:35.2312059Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2312370Z 'code': ['___check_obj_id(model, 140534623212096)'], 2022-11-23T01:30:35.2312593Z 'obj_weakref': None 2022-11-23T01:30:35.2313014Z 'guarded_class': 2022-11-23T01:30:35.2313140Z } 2022-11-23T01:30:35.2313268Z 2022-11-23T01:30:35.2313394Z - 2022-11-23T01:30:35.2313622Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2313749Z { 2022-11-23T01:30:35.2314006Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2314403Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2314694Z 'obj_weakref': None 2022-11-23T01:30:35.2315109Z 'guarded_class': 2022-11-23T01:30:35.2315224Z } 2022-11-23T01:30:35.2315349Z 2022-11-23T01:30:35.2315485Z - 2022-11-23T01:30:35.2315738Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2315865Z { 2022-11-23T01:30:35.2316088Z 'guard_types': None, 2022-11-23T01:30:35.2316287Z 'code': None, 2022-11-23T01:30:35.2316498Z 'obj_weakref': None 2022-11-23T01:30:35.2316726Z 'guarded_class': None 2022-11-23T01:30:35.2316852Z } 2022-11-23T01:30:35.2316980Z 2022-11-23T01:30:35.2317463Z [2022-11-23 01:22:09,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13 2022-11-23T01:30:35.2317860Z [2022-11-23 01:22:09,321] torch._inductor.scheduler: [DEBUG] removed dead node: buf2 2022-11-23T01:30:35.2318540Z [2022-11-23 01:22:10,818] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/44/c44t3jzux5db5ehiyjn7xemnoqd7jvgyr3gvth3e4brfa2gv5gtb.py 2022-11-23T01:30:35.2319034Z [2022-11-23 01:22:10,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13 2022-11-23T01:30:35.2319044Z 2022-11-23T01:30:35.2319221Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2319359Z import torch 2022-11-23T01:30:35.2319497Z import random 2022-11-23T01:30:35.2319725Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2319960Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2319968Z 2022-11-23T01:30:35.2320205Z aten = torch.ops.aten 2022-11-23T01:30:35.2320463Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2320633Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2320640Z 2022-11-23T01:30:35.2320658Z 2022-11-23T01:30:35.2320909Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2321281Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2321511Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2321697Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2321819Z { 2022-11-23T01:30:35.2322016Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2322140Z { 2022-11-23T01:30:35.2322281Z #pragma omp for 2022-11-23T01:30:35.2322442Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.2322564Z { 2022-11-23T01:30:35.2322720Z #pragma GCC ivdep 2022-11-23T01:30:35.2322885Z for(long i1=0; i1<27; i1+=1) 2022-11-23T01:30:35.2323015Z { 2022-11-23T01:30:35.2323166Z #pragma GCC ivdep 2022-11-23T01:30:35.2323333Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:30:35.2323463Z { 2022-11-23T01:30:35.2323601Z { 2022-11-23T01:30:35.2323733Z { 2022-11-23T01:30:35.2323939Z auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2324242Z auto tmp3 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2324461Z auto tmp9 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2324656Z auto tmp15 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2324960Z auto tmp21 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2325128Z auto tmp27 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2325332Z auto tmp33 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2325535Z auto tmp39 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2325734Z auto tmp45 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2326016Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:35.2326237Z auto tmp2 = static_cast((2*i2) + (110*i1)); 2022-11-23T01:30:35.2326413Z auto tmp4 = tmp3 * (tmp3>0); 2022-11-23T01:30:35.2326627Z auto tmp5 = static_cast(1 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2326811Z auto tmp6 = tmp4 > tmp1; 2022-11-23T01:30:35.2327004Z auto tmp7 = tmp6 ? tmp5 : tmp2; 2022-11-23T01:30:35.2327225Z auto tmp8 = std::max(tmp4, tmp1); 2022-11-23T01:30:35.2327414Z auto tmp10 = tmp9 * (tmp9>0); 2022-11-23T01:30:35.2327632Z auto tmp11 = static_cast(2 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2327815Z auto tmp12 = tmp10 > tmp8; 2022-11-23T01:30:35.2328002Z auto tmp13 = tmp12 ? tmp11 : tmp7; 2022-11-23T01:30:35.2328209Z auto tmp14 = std::max(tmp10, tmp8); 2022-11-23T01:30:35.2328402Z auto tmp16 = tmp15 * (tmp15>0); 2022-11-23T01:30:35.2328620Z auto tmp17 = static_cast(55 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2328800Z auto tmp18 = tmp16 > tmp14; 2022-11-23T01:30:35.2328994Z auto tmp19 = tmp18 ? tmp17 : tmp13; 2022-11-23T01:30:35.2329198Z auto tmp20 = std::max(tmp16, tmp14); 2022-11-23T01:30:35.2329375Z auto tmp22 = tmp21 * (tmp21>0); 2022-11-23T01:30:35.2329595Z auto tmp23 = static_cast(56 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2329773Z auto tmp24 = tmp22 > tmp20; 2022-11-23T01:30:35.2329964Z auto tmp25 = tmp24 ? tmp23 : tmp19; 2022-11-23T01:30:35.2330169Z auto tmp26 = std::max(tmp22, tmp20); 2022-11-23T01:30:35.2330354Z auto tmp28 = tmp27 * (tmp27>0); 2022-11-23T01:30:35.2330574Z auto tmp29 = static_cast(57 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2330755Z auto tmp30 = tmp28 > tmp26; 2022-11-23T01:30:35.2330937Z auto tmp31 = tmp30 ? tmp29 : tmp25; 2022-11-23T01:30:35.2331141Z auto tmp32 = std::max(tmp28, tmp26); 2022-11-23T01:30:35.2331326Z auto tmp34 = tmp33 * (tmp33>0); 2022-11-23T01:30:35.2331548Z auto tmp35 = static_cast(110 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2331732Z auto tmp36 = tmp34 > tmp32; 2022-11-23T01:30:35.2331927Z auto tmp37 = tmp36 ? tmp35 : tmp31; 2022-11-23T01:30:35.2332132Z auto tmp38 = std::max(tmp34, tmp32); 2022-11-23T01:30:35.2332331Z auto tmp40 = tmp39 * (tmp39>0); 2022-11-23T01:30:35.2332636Z auto tmp41 = static_cast(111 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2332829Z auto tmp42 = tmp40 > tmp38; 2022-11-23T01:30:35.2333023Z auto tmp43 = tmp42 ? tmp41 : tmp37; 2022-11-23T01:30:35.2333229Z auto tmp44 = std::max(tmp40, tmp38); 2022-11-23T01:30:35.2333418Z auto tmp46 = tmp45 * (tmp45>0); 2022-11-23T01:30:35.2333637Z auto tmp47 = static_cast(112 + (2*i2) + (110*i1)); 2022-11-23T01:30:35.2333819Z auto tmp48 = tmp46 > tmp44; 2022-11-23T01:30:35.2334015Z auto tmp49 = tmp48 ? tmp47 : tmp43; 2022-11-23T01:30:35.2334205Z auto tmp50 = std::max(tmp46, tmp44); 2022-11-23T01:30:35.2334399Z out_ptr0[i2 + (27*i1) + (729*i0)] = tmp50; 2022-11-23T01:30:35.2334587Z } 2022-11-23T01:30:35.2334721Z } 2022-11-23T01:30:35.2334851Z } 2022-11-23T01:30:35.2334983Z } 2022-11-23T01:30:35.2335110Z } 2022-11-23T01:30:35.2335226Z } 2022-11-23T01:30:35.2335350Z } 2022-11-23T01:30:35.2335525Z ''') 2022-11-23T01:30:35.2335535Z 2022-11-23T01:30:35.2335542Z 2022-11-23T01:30:35.2335726Z async_compile.wait(globals()) 2022-11-23T01:30:35.2335870Z del async_compile 2022-11-23T01:30:35.2335878Z 2022-11-23T01:30:35.2336022Z def call(args): 2022-11-23T01:30:35.2336180Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.2336309Z args.clear() 2022-11-23T01:30:35.2336563Z buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.2336770Z assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1)) 2022-11-23T01:30:35.2336908Z del arg0_1 2022-11-23T01:30:35.2337044Z del arg1_1 2022-11-23T01:30:35.2337178Z del arg2_1 2022-11-23T01:30:35.2337598Z buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2337844Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.2337991Z return (buf1, ) 2022-11-23T01:30:35.2337999Z 2022-11-23T01:30:35.2338007Z 2022-11-23T01:30:35.2338158Z if __name__ == "__main__": 2022-11-23T01:30:35.2338380Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2338622Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2338984Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2339388Z arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2339812Z arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2340051Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.2340063Z 2022-11-23T01:30:35.2340187Z ok (1.694s) 2022-11-23T01:30:35.2340761Z test_any_cpu (__main__.CpuTests) ... [2022-11-23 01:22:10,845] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2341375Z [2022-11-23 01:22:10,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2341785Z [2022-11-23 01:22:10,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2342268Z [2022-11-23 01:22:10,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2342796Z [2022-11-23 01:22:10,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2343414Z [2022-11-23 01:22:10,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2344179Z [2022-11-23 01:22:10,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2344802Z [2022-11-23 01:22:10,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2345523Z [2022-11-23 01:22:10,846] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2345688Z 3384 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2345865Z 2 LOAD_METHOD 0 (any) 2022-11-23T01:30:35.2346125Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:30:35.2346298Z 6 CALL_METHOD 1 2022-11-23T01:30:35.2346306Z 2022-11-23T01:30:35.2346533Z 3385 8 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2346713Z 10 LOAD_METHOD 1 (isinf) 2022-11-23T01:30:35.2346880Z 12 CALL_METHOD 0 2022-11-23T01:30:35.2347044Z 14 LOAD_METHOD 0 (any) 2022-11-23T01:30:35.2347213Z 16 CALL_METHOD 0 2022-11-23T01:30:35.2347221Z 2022-11-23T01:30:35.2347397Z 3386 18 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.2347568Z 20 LOAD_ATTR 3 (all) 2022-11-23T01:30:35.2347740Z 22 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2347916Z 24 LOAD_METHOD 1 (isinf) 2022-11-23T01:30:35.2348084Z 26 CALL_METHOD 0 2022-11-23T01:30:35.2348252Z 28 LOAD_CONST 2 (0) 2022-11-23T01:30:35.2348508Z 30 LOAD_CONST 3 (('dim',)) 2022-11-23T01:30:35.2348687Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.2348698Z 2022-11-23T01:30:35.2348879Z 3387 34 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.2349053Z 36 LOAD_METHOD 3 (all) 2022-11-23T01:30:35.2349233Z 38 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.2349425Z 40 LOAD_METHOD 4 (logical_not) 2022-11-23T01:30:35.2349596Z 42 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2349771Z 44 LOAD_METHOD 1 (isinf) 2022-11-23T01:30:35.2349925Z 46 CALL_METHOD 0 2022-11-23T01:30:35.2350089Z 48 CALL_METHOD 1 2022-11-23T01:30:35.2350256Z 50 CALL_METHOD 1 2022-11-23T01:30:35.2350263Z 2022-11-23T01:30:35.2350430Z 3383 52 BUILD_TUPLE 4 2022-11-23T01:30:35.2350582Z 54 RETURN_VALUE 2022-11-23T01:30:35.2350707Z 2022-11-23T01:30:35.2350715Z 2022-11-23T01:30:35.2351332Z [2022-11-23 01:22:10,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384 2022-11-23T01:30:35.2351738Z [2022-11-23 01:22:10,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2352179Z [2022-11-23 01:22:10,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()] 2022-11-23T01:30:35.2352710Z [2022-11-23 01:22:10,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:30:35.2353317Z [2022-11-23 01:22:10,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:30:35.2353927Z [2022-11-23 01:22:10,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385 2022-11-23T01:30:35.2354380Z [2022-11-23 01:22:10,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:35.2354903Z [2022-11-23 01:22:10,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2355625Z [2022-11-23 01:22:10,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.2356146Z [2022-11-23 01:22:10,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2356737Z [2022-11-23 01:22:10,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:30:35.2357351Z [2022-11-23 01:22:10,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386 2022-11-23T01:30:35.2357861Z [2022-11-23 01:22:10,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2358681Z [2022-11-23 01:22:10,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2359474Z [2022-11-23 01:22:10,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2360347Z [2022-11-23 01:22:10,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2361222Z [2022-11-23 01:22:10,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.2362002Z [2022-11-23 01:22:10,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2362891Z [2022-11-23 01:22:10,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2363853Z [2022-11-23 01:22:10,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:35.2364464Z [2022-11-23 01:22:10,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387 2022-11-23T01:30:35.2365443Z [2022-11-23 01:22:10,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2366091Z [2022-11-23 01:22:10,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2366525Z [2022-11-23 01:22:10,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2367106Z [2022-11-23 01:22:10,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.2367637Z [2022-11-23 01:22:10,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.2368342Z [2022-11-23 01:22:10,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2368948Z [2022-11-23 01:22:10,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.2369516Z [2022-11-23 01:22:10,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2370005Z [2022-11-23 01:22:10,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2370319Z [2022-11-23 01:22:10,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383 2022-11-23T01:30:35.2370644Z [2022-11-23 01:22:10,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2370877Z [2022-11-23 01:22:10,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2371263Z [2022-11-23 01:22:10,858] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2371520Z [2022-11-23 01:22:10,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2371756Z [2022-11-23 01:22:10,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2372013Z [2022-11-23 01:22:10,860] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2372263Z [2022-11-23 01:22:10,866] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2372453Z [2022-11-23 01:22:10,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2372593Z __compiled_fn_15 .104 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2372683Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2372809Z call_method, any_1, any, (ex_0_, -1), {} 2022-11-23T01:30:35.2372901Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:30:35.2372990Z call_method, any_2, any, (isinf,), {} 2022-11-23T01:30:35.2373135Z call_method, isinf_1, isinf, (ex_0_,), {} 2022-11-23T01:30:35.2373375Z call_function, all_1, , (isinf_1,), {'dim': 0} 2022-11-23T01:30:35.2373470Z call_method, isinf_2, isinf, (ex_0_,), {} 2022-11-23T01:30:35.2373722Z call_function, logical_not, , (isinf_2,), {} 2022-11-23T01:30:35.2373942Z call_function, all_2, , (logical_not,), {} 2022-11-23T01:30:35.2374060Z output, output, output, ((any_1, any_2, all_1, all_2),), {} 2022-11-23T01:30:35.2374067Z 2022-11-23T01:30:35.2374394Z [2022-11-23 01:22:10,867] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2374491Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2374584Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2374702Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2374797Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2374880Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2374956Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2375032Z 12 RETURN_VALUE 2022-11-23T01:30:35.2375037Z 2022-11-23T01:30:35.2375098Z 2022-11-23T01:30:35.2375423Z [2022-11-23 01:22:10,867] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2375530Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_15) 2022-11-23T01:30:35.2375618Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2375709Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2375841Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2375916Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2376017Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2376121Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2376209Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2376285Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2376382Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2376468Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2376532Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.2376629Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2376719Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2376797Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.2376894Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2376980Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:35.2377056Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.2377132Z 36 BUILD_TUPLE 4 2022-11-23T01:30:35.2377205Z 38 RETURN_VALUE 2022-11-23T01:30:35.2377212Z 2022-11-23T01:30:35.2377274Z 2022-11-23T01:30:35.2377459Z [2022-11-23 01:22:10,868] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2377528Z - 2022-11-23T01:30:35.2377646Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2377710Z { 2022-11-23T01:30:35.2377838Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2378027Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2378146Z 'obj_weakref': None 2022-11-23T01:30:35.2378373Z 'guarded_class': 2022-11-23T01:30:35.2378438Z } 2022-11-23T01:30:35.2378501Z 2022-11-23T01:30:35.2378572Z - 2022-11-23T01:30:35.2378687Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2378750Z { 2022-11-23T01:30:35.2378892Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2379000Z 'code': None, 2022-11-23T01:30:35.2379215Z 'obj_weakref': 2022-11-23T01:30:35.2379466Z 'guarded_class': 2022-11-23T01:30:35.2379529Z } 2022-11-23T01:30:35.2379591Z 2022-11-23T01:30:35.2379650Z - 2022-11-23T01:30:35.2379779Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2379843Z { 2022-11-23T01:30:35.2379974Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2380141Z 'code': ['___check_obj_id(model, 140534642211664)'], 2022-11-23T01:30:35.2380261Z 'obj_weakref': None 2022-11-23T01:30:35.2380477Z 'guarded_class': 2022-11-23T01:30:35.2380543Z } 2022-11-23T01:30:35.2380605Z 2022-11-23T01:30:35.2380674Z - 2022-11-23T01:30:35.2380826Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2380891Z { 2022-11-23T01:30:35.2381026Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2381235Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2381353Z 'obj_weakref': None 2022-11-23T01:30:35.2381576Z 'guarded_class': 2022-11-23T01:30:35.2381639Z } 2022-11-23T01:30:35.2381701Z 2022-11-23T01:30:35.2381768Z - 2022-11-23T01:30:35.2381900Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2381951Z { 2022-11-23T01:30:35.2382067Z 'guard_types': None, 2022-11-23T01:30:35.2382172Z 'code': None, 2022-11-23T01:30:35.2382326Z 'obj_weakref': None 2022-11-23T01:30:35.2382448Z 'guarded_class': None 2022-11-23T01:30:35.2382510Z } 2022-11-23T01:30:35.2382575Z 2022-11-23T01:30:35.2382824Z [2022-11-23 01:22:10,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14 2022-11-23T01:30:35.2383201Z [2022-11-23 01:22:12,424] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xq/cxqtw4sm7kdxgdpf5mexbvuo6e5ynfrksxfmj3xl2pbuouulib3t.py 2022-11-23T01:30:35.2383459Z [2022-11-23 01:22:12,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14 2022-11-23T01:30:35.2383694Z [2022-11-23 01:22:12,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2384009Z [2022-11-23 01:22:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2384229Z [2022-11-23 01:22:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2384488Z [2022-11-23 01:22:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2384763Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2385086Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2385426Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2385736Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2386113Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2386213Z 3384 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2386308Z 2 LOAD_METHOD 0 (any) 2022-11-23T01:30:35.2386445Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:30:35.2386537Z 6 CALL_METHOD 1 2022-11-23T01:30:35.2386542Z 2022-11-23T01:30:35.2386660Z 3385 8 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2386754Z 10 LOAD_METHOD 1 (isinf) 2022-11-23T01:30:35.2386832Z 12 CALL_METHOD 0 2022-11-23T01:30:35.2386922Z 14 LOAD_METHOD 0 (any) 2022-11-23T01:30:35.2387008Z 16 CALL_METHOD 0 2022-11-23T01:30:35.2387013Z 2022-11-23T01:30:35.2387104Z 3386 18 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.2387197Z 20 LOAD_ATTR 3 (all) 2022-11-23T01:30:35.2387285Z 22 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2387379Z 24 LOAD_METHOD 1 (isinf) 2022-11-23T01:30:35.2387500Z 26 CALL_METHOD 0 2022-11-23T01:30:35.2387578Z 28 LOAD_CONST 2 (0) 2022-11-23T01:30:35.2387727Z 30 LOAD_CONST 3 (('dim',)) 2022-11-23T01:30:35.2387818Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.2387824Z 2022-11-23T01:30:35.2387915Z 3387 34 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.2388006Z 36 LOAD_METHOD 3 (all) 2022-11-23T01:30:35.2388096Z 38 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.2388197Z 40 LOAD_METHOD 4 (logical_not) 2022-11-23T01:30:35.2388287Z 42 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2388366Z 44 LOAD_METHOD 1 (isinf) 2022-11-23T01:30:35.2388485Z 46 CALL_METHOD 0 2022-11-23T01:30:35.2388571Z 48 CALL_METHOD 1 2022-11-23T01:30:35.2388658Z 50 CALL_METHOD 1 2022-11-23T01:30:35.2388663Z 2022-11-23T01:30:35.2388747Z 3383 52 BUILD_TUPLE 4 2022-11-23T01:30:35.2388823Z 54 RETURN_VALUE 2022-11-23T01:30:35.2388885Z 2022-11-23T01:30:35.2388890Z 2022-11-23T01:30:35.2389202Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384 2022-11-23T01:30:35.2389415Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2389656Z [2022-11-23 01:22:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()] 2022-11-23T01:30:35.2389935Z [2022-11-23 01:22:12,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:30:35.2390251Z [2022-11-23 01:22:12,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:30:35.2390567Z [2022-11-23 01:22:12,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385 2022-11-23T01:30:35.2390806Z [2022-11-23 01:22:12,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:35.2391080Z [2022-11-23 01:22:12,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2391388Z [2022-11-23 01:22:12,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.2391659Z [2022-11-23 01:22:12,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2391952Z [2022-11-23 01:22:12,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:30:35.2392271Z [2022-11-23 01:22:12,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386 2022-11-23T01:30:35.2392542Z [2022-11-23 01:22:12,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2392966Z [2022-11-23 01:22:12,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2393343Z [2022-11-23 01:22:12,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2393748Z [2022-11-23 01:22:12,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2394231Z [2022-11-23 01:22:12,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.2394646Z [2022-11-23 01:22:12,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2395098Z [2022-11-23 01:22:12,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2395595Z [2022-11-23 01:22:12,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:35.2395943Z [2022-11-23 01:22:12,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387 2022-11-23T01:30:35.2396246Z [2022-11-23 01:22:12,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2396697Z [2022-11-23 01:22:12,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2397117Z [2022-11-23 01:22:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2397693Z [2022-11-23 01:22:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.2398230Z [2022-11-23 01:22:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.2398793Z [2022-11-23 01:22:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2399401Z [2022-11-23 01:22:12,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.2399964Z [2022-11-23 01:22:12,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2400495Z [2022-11-23 01:22:12,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.2400804Z [2022-11-23 01:22:12,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383 2022-11-23T01:30:35.2401169Z [2022-11-23 01:22:12,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2401417Z [2022-11-23 01:22:12,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2401801Z [2022-11-23 01:22:12,441] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2402043Z [2022-11-23 01:22:12,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2402276Z [2022-11-23 01:22:12,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2402538Z [2022-11-23 01:22:12,443] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2402863Z [2022-11-23 01:22:12,450] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2403052Z [2022-11-23 01:22:12,451] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2403189Z __compiled_fn_16 .110 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2403269Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2403401Z call_method, any_1, any, (ex_0_, -1), {} 2022-11-23T01:30:35.2403493Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:30:35.2403582Z call_method, any_2, any, (isinf,), {} 2022-11-23T01:30:35.2403677Z call_method, isinf_1, isinf, (ex_0_,), {} 2022-11-23T01:30:35.2403918Z call_function, all_1, , (isinf_1,), {'dim': 0} 2022-11-23T01:30:35.2404011Z call_method, isinf_2, isinf, (ex_0_,), {} 2022-11-23T01:30:35.2404253Z call_function, logical_not, , (isinf_2,), {} 2022-11-23T01:30:35.2404494Z call_function, all_2, , (logical_not,), {} 2022-11-23T01:30:35.2404612Z output, output, output, ((any_1, any_2, all_1, all_2),), {} 2022-11-23T01:30:35.2404618Z 2022-11-23T01:30:35.2405146Z [2022-11-23 01:22:12,451] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2405243Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2405335Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2405419Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2405510Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2405583Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2405672Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2405746Z 12 RETURN_VALUE 2022-11-23T01:30:35.2405754Z 2022-11-23T01:30:35.2405816Z 2022-11-23T01:30:35.2406152Z [2022-11-23 01:22:12,451] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2406257Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_16) 2022-11-23T01:30:35.2406345Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2406431Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2406495Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2406580Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2406682Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2406782Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2406870Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2406945Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2407042Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2407121Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2407196Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.2407348Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2407436Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2407511Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.2407609Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2407695Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:35.2407759Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.2407845Z 36 BUILD_TUPLE 4 2022-11-23T01:30:35.2407922Z 38 RETURN_VALUE 2022-11-23T01:30:35.2407927Z 2022-11-23T01:30:35.2407987Z 2022-11-23T01:30:35.2408174Z [2022-11-23 01:22:12,452] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2408244Z - 2022-11-23T01:30:35.2408362Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2408414Z { 2022-11-23T01:30:35.2408600Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2408791Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2408912Z 'obj_weakref': None 2022-11-23T01:30:35.2409141Z 'guarded_class': 2022-11-23T01:30:35.2409208Z } 2022-11-23T01:30:35.2409271Z 2022-11-23T01:30:35.2409329Z - 2022-11-23T01:30:35.2409459Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2409523Z { 2022-11-23T01:30:35.2409668Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2409777Z 'code': None, 2022-11-23T01:30:35.2409994Z 'obj_weakref': 2022-11-23T01:30:35.2410246Z 'guarded_class': 2022-11-23T01:30:35.2410317Z } 2022-11-23T01:30:35.2410367Z 2022-11-23T01:30:35.2410436Z - 2022-11-23T01:30:35.2410565Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2410631Z { 2022-11-23T01:30:35.2410763Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2410929Z 'code': ['___check_obj_id(model, 140534642211664)'], 2022-11-23T01:30:35.2411035Z 'obj_weakref': None 2022-11-23T01:30:35.2411265Z 'guarded_class': 2022-11-23T01:30:35.2411329Z } 2022-11-23T01:30:35.2411392Z 2022-11-23T01:30:35.2411459Z - 2022-11-23T01:30:35.2411581Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2411644Z { 2022-11-23T01:30:35.2411765Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2411983Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2412103Z 'obj_weakref': None 2022-11-23T01:30:35.2412324Z 'guarded_class': 2022-11-23T01:30:35.2412389Z } 2022-11-23T01:30:35.2412451Z 2022-11-23T01:30:35.2412518Z - 2022-11-23T01:30:35.2412636Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2412699Z { 2022-11-23T01:30:35.2412817Z 'guard_types': None, 2022-11-23T01:30:35.2412923Z 'code': None, 2022-11-23T01:30:35.2413039Z 'obj_weakref': None 2022-11-23T01:30:35.2413158Z 'guarded_class': None 2022-11-23T01:30:35.2413223Z } 2022-11-23T01:30:35.2413273Z 2022-11-23T01:30:35.2413535Z [2022-11-23 01:22:12,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15 2022-11-23T01:30:35.2413906Z [2022-11-23 01:22:14,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iu/ciulwhajm6bvluxlttfinbhsf4oycyug3ijvuh4gpexmx3dkisi2.py 2022-11-23T01:30:35.2414171Z [2022-11-23 01:22:14,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15 2022-11-23T01:30:35.2414212Z 2022-11-23T01:30:35.2414311Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2414381Z import torch 2022-11-23T01:30:35.2414450Z import random 2022-11-23T01:30:35.2414564Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2414673Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2414679Z 2022-11-23T01:30:35.2414757Z aten = torch.ops.aten 2022-11-23T01:30:35.2414892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2414984Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2414989Z 2022-11-23T01:30:35.2414993Z 2022-11-23T01:30:35.2415126Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2415331Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2415475Z extern "C" void kernel(bool* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.2415575Z bool* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.2415668Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2415763Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:35.2415858Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:35.2415919Z { 2022-11-23T01:30:35.2416005Z auto out_ptr2 = in_out_ptr0; 2022-11-23T01:30:35.2416086Z auto out_ptr3 = in_out_ptr1; 2022-11-23T01:30:35.2416148Z { 2022-11-23T01:30:35.2416198Z { 2022-11-23T01:30:35.2416274Z bool tmp2 = 0; 2022-11-23T01:30:35.2416348Z bool tmp4 = 0; 2022-11-23T01:30:35.2416425Z bool tmp8 = 0; 2022-11-23T01:30:35.2416499Z bool tmp10 = 0; 2022-11-23T01:30:35.2416606Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2416670Z { 2022-11-23T01:30:35.2416824Z #pragma omp for reduction(||:tmp2) reduction(||:tmp4) reduction(||:tmp8) reduction(||:tmp10) 2022-11-23T01:30:35.2416915Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.2416986Z { 2022-11-23T01:30:35.2417054Z { 2022-11-23T01:30:35.2417147Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2417254Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.2417367Z auto tmp3 = std::isinf(tmp0); 2022-11-23T01:30:35.2417444Z auto tmp5 = tmp3 == 0; 2022-11-23T01:30:35.2417549Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:30:35.2417654Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:35.2417743Z auto tmp9 = tmp5 == 0; 2022-11-23T01:30:35.2417830Z tmp2 = tmp2 || tmp1; 2022-11-23T01:30:35.2417920Z tmp4 = tmp4 || tmp3; 2022-11-23T01:30:35.2418010Z tmp8 = tmp8 || tmp7; 2022-11-23T01:30:35.2418086Z tmp10 = tmp10 || tmp9; 2022-11-23T01:30:35.2418152Z } 2022-11-23T01:30:35.2418219Z } 2022-11-23T01:30:35.2418282Z } 2022-11-23T01:30:35.2418363Z out_ptr0[0] = tmp2; 2022-11-23T01:30:35.2418438Z out_ptr1[0] = tmp4; 2022-11-23T01:30:35.2418513Z out_ptr2[0] = tmp8; 2022-11-23T01:30:35.2418576Z out_ptr3[0] = tmp10; 2022-11-23T01:30:35.2418638Z } 2022-11-23T01:30:35.2418698Z } 2022-11-23T01:30:35.2418758Z { 2022-11-23T01:30:35.2418820Z { 2022-11-23T01:30:35.2418905Z auto tmp0 = out_ptr2[0]; 2022-11-23T01:30:35.2418985Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:35.2419053Z in_out_ptr0[0] = tmp1; 2022-11-23T01:30:35.2419114Z } 2022-11-23T01:30:35.2419173Z } 2022-11-23T01:30:35.2419235Z { 2022-11-23T01:30:35.2419298Z { 2022-11-23T01:30:35.2419383Z auto tmp0 = out_ptr3[0]; 2022-11-23T01:30:35.2419450Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:35.2419527Z in_out_ptr1[0] = tmp1; 2022-11-23T01:30:35.2419621Z } 2022-11-23T01:30:35.2419684Z } 2022-11-23T01:30:35.2419744Z } 2022-11-23T01:30:35.2419829Z ''') 2022-11-23T01:30:35.2419834Z 2022-11-23T01:30:35.2419837Z 2022-11-23T01:30:35.2419926Z async_compile.wait(globals()) 2022-11-23T01:30:35.2419986Z del async_compile 2022-11-23T01:30:35.2419990Z 2022-11-23T01:30:35.2420059Z def call(args): 2022-11-23T01:30:35.2420127Z arg0_1, = args 2022-11-23T01:30:35.2420199Z args.clear() 2022-11-23T01:30:35.2420376Z buf0 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2420552Z buf1 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2420721Z buf2 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2420882Z buf3 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2421022Z buf4 = buf2; del buf2 # reuse 2022-11-23T01:30:35.2421103Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:30:35.2421321Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.2421390Z del arg0_1 2022-11-23T01:30:35.2421477Z return (buf0, buf1, buf4, buf5, ) 2022-11-23T01:30:35.2421482Z 2022-11-23T01:30:35.2421486Z 2022-11-23T01:30:35.2421560Z if __name__ == "__main__": 2022-11-23T01:30:35.2421672Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2421783Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2421977Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2422084Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2422088Z 2022-11-23T01:30:35.2422094Z 2022-11-23T01:30:35.2422187Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2422259Z import torch 2022-11-23T01:30:35.2422330Z import random 2022-11-23T01:30:35.2422444Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2422568Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2422573Z 2022-11-23T01:30:35.2422638Z aten = torch.ops.aten 2022-11-23T01:30:35.2422773Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2422863Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2422868Z 2022-11-23T01:30:35.2422872Z 2022-11-23T01:30:35.2423004Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2423207Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2423320Z extern "C" void kernel(bool* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.2423419Z bool* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.2423525Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2423607Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:35.2423703Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:35.2423765Z { 2022-11-23T01:30:35.2423852Z auto out_ptr3 = in_out_ptr0; 2022-11-23T01:30:35.2423936Z auto out_ptr2 = in_out_ptr1; 2022-11-23T01:30:35.2424032Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2424094Z { 2022-11-23T01:30:35.2424160Z #pragma omp for 2022-11-23T01:30:35.2424244Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.2424306Z { 2022-11-23T01:30:35.2424373Z { 2022-11-23T01:30:35.2424436Z { 2022-11-23T01:30:35.2424515Z bool tmp2 = 0; 2022-11-23T01:30:35.2424605Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.2424659Z { 2022-11-23T01:30:35.2424727Z { 2022-11-23T01:30:35.2424830Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.2424940Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.2425033Z tmp2 = tmp2 || tmp1; 2022-11-23T01:30:35.2425101Z } 2022-11-23T01:30:35.2425199Z } 2022-11-23T01:30:35.2425273Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.2425338Z } 2022-11-23T01:30:35.2425400Z } 2022-11-23T01:30:35.2425462Z } 2022-11-23T01:30:35.2425521Z } 2022-11-23T01:30:35.2425581Z { 2022-11-23T01:30:35.2425629Z { 2022-11-23T01:30:35.2425705Z bool tmp2 = 0; 2022-11-23T01:30:35.2425777Z bool tmp5 = 0; 2022-11-23T01:30:35.2425882Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2425946Z { 2022-11-23T01:30:35.2426071Z #pragma omp for reduction(||:tmp2) reduction(||:tmp5) 2022-11-23T01:30:35.2426163Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.2426217Z { 2022-11-23T01:30:35.2426283Z { 2022-11-23T01:30:35.2426410Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2426516Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:30:35.2426610Z auto tmp3 = tmp1 == 0; 2022-11-23T01:30:35.2426698Z auto tmp4 = tmp3 == 0; 2022-11-23T01:30:35.2426784Z tmp2 = tmp2 || tmp1; 2022-11-23T01:30:35.2426857Z tmp5 = tmp5 || tmp4; 2022-11-23T01:30:35.2426923Z } 2022-11-23T01:30:35.2426986Z } 2022-11-23T01:30:35.2427049Z } 2022-11-23T01:30:35.2427128Z out_ptr1[0] = tmp2; 2022-11-23T01:30:35.2427204Z out_ptr2[0] = tmp5; 2022-11-23T01:30:35.2427267Z } 2022-11-23T01:30:35.2427316Z } 2022-11-23T01:30:35.2427415Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2427476Z { 2022-11-23T01:30:35.2427550Z #pragma omp for 2022-11-23T01:30:35.2427628Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2427693Z { 2022-11-23T01:30:35.2427743Z { 2022-11-23T01:30:35.2427807Z { 2022-11-23T01:30:35.2427883Z bool tmp5 = 0; 2022-11-23T01:30:35.2427978Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:35.2428044Z { 2022-11-23T01:30:35.2428114Z { 2022-11-23T01:30:35.2428217Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:35.2428309Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:30:35.2428405Z auto tmp2 = tmp1 == 0; 2022-11-23T01:30:35.2428512Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.2428617Z auto tmp4 = static_cast(tmp3); 2022-11-23T01:30:35.2428705Z tmp5 = tmp5 || tmp4; 2022-11-23T01:30:35.2428771Z } 2022-11-23T01:30:35.2428838Z } 2022-11-23T01:30:35.2428923Z out_ptr3[i0] = tmp5; 2022-11-23T01:30:35.2428976Z } 2022-11-23T01:30:35.2429039Z } 2022-11-23T01:30:35.2429102Z } 2022-11-23T01:30:35.2429180Z #pragma omp for 2022-11-23T01:30:35.2429261Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2429324Z { 2022-11-23T01:30:35.2429375Z { 2022-11-23T01:30:35.2429438Z { 2022-11-23T01:30:35.2429529Z auto tmp0 = out_ptr3[i0]; 2022-11-23T01:30:35.2429616Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:35.2429705Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.2429768Z } 2022-11-23T01:30:35.2429830Z } 2022-11-23T01:30:35.2429880Z } 2022-11-23T01:30:35.2429957Z #pragma omp single 2022-11-23T01:30:35.2430018Z { 2022-11-23T01:30:35.2430081Z { 2022-11-23T01:30:35.2430144Z { 2022-11-23T01:30:35.2430233Z auto tmp0 = out_ptr2[0]; 2022-11-23T01:30:35.2430323Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:35.2430395Z in_out_ptr1[0] = tmp1; 2022-11-23T01:30:35.2430492Z } 2022-11-23T01:30:35.2430558Z } 2022-11-23T01:30:35.2430620Z } 2022-11-23T01:30:35.2430680Z } 2022-11-23T01:30:35.2430741Z } 2022-11-23T01:30:35.2430821Z ''') 2022-11-23T01:30:35.2430826Z 2022-11-23T01:30:35.2430842Z 2022-11-23T01:30:35.2430922Z async_compile.wait(globals()) 2022-11-23T01:30:35.2430993Z del async_compile 2022-11-23T01:30:35.2430997Z 2022-11-23T01:30:35.2431068Z def call(args): 2022-11-23T01:30:35.2431136Z arg0_1, = args 2022-11-23T01:30:35.2431207Z args.clear() 2022-11-23T01:30:35.2431400Z buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2431574Z buf1 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2431735Z buf3 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2431950Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.2432034Z buf4 = buf2; del buf2 # reuse 2022-11-23T01:30:35.2432117Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:30:35.2432329Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.2432396Z del arg0_1 2022-11-23T01:30:35.2432484Z return (buf0, buf1, buf4, buf5, ) 2022-11-23T01:30:35.2432489Z 2022-11-23T01:30:35.2432493Z 2022-11-23T01:30:35.2432571Z if __name__ == "__main__": 2022-11-23T01:30:35.2432672Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2432793Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2432990Z arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2433097Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2433102Z 2022-11-23T01:30:35.2433172Z ok (3.343s) 2022-11-23T01:30:35.2433479Z test_arange1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:14,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2433801Z [2022-11-23 01:22:14,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2434019Z [2022-11-23 01:22:14,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2434261Z [2022-11-23 01:22:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2434539Z [2022-11-23 01:22:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2434859Z [2022-11-23 01:22:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2435207Z [2022-11-23 01:22:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2435535Z [2022-11-23 01:22:14,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2435916Z [2022-11-23 01:22:14,192] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2436014Z 879 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2436108Z 2 LOAD_ATTR 1 (arange) 2022-11-23T01:30:35.2436196Z 4 LOAD_CONST 1 (64) 2022-11-23T01:30:35.2436288Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2436369Z 8 LOAD_ATTR 2 (float32) 2022-11-23T01:30:35.2436456Z 10 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2436548Z 12 LOAD_ATTR 3 (device) 2022-11-23T01:30:35.2436709Z 14 LOAD_CONST 2 (('dtype', 'device')) 2022-11-23T01:30:35.2436833Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.2436927Z 18 LOAD_METHOD 4 (view) 2022-11-23T01:30:35.2437013Z 20 LOAD_CONST 3 (8) 2022-11-23T01:30:35.2437088Z 22 LOAD_CONST 3 (8) 2022-11-23T01:30:35.2437173Z 24 CALL_METHOD 2 2022-11-23T01:30:35.2437263Z 26 STORE_FAST 1 (rng1) 2022-11-23T01:30:35.2437268Z 2022-11-23T01:30:35.2437359Z 880 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2437446Z 30 LOAD_ATTR 1 (arange) 2022-11-23T01:30:35.2437531Z 32 LOAD_CONST 4 (10) 2022-11-23T01:30:35.2437617Z 34 LOAD_CONST 5 (18) 2022-11-23T01:30:35.2437693Z 36 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2437810Z 38 LOAD_ATTR 3 (device) 2022-11-23T01:30:35.2437961Z 40 LOAD_CONST 6 (('device',)) 2022-11-23T01:30:35.2438054Z 42 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.2438146Z 44 STORE_FAST 2 (rng2) 2022-11-23T01:30:35.2438151Z 2022-11-23T01:30:35.2438238Z 881 46 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2438328Z 48 LOAD_FAST 1 (rng1) 2022-11-23T01:30:35.2438408Z 50 BINARY_MULTIPLY 2022-11-23T01:30:35.2438487Z 52 STORE_FAST 3 (tmp) 2022-11-23T01:30:35.2438491Z 2022-11-23T01:30:35.2438581Z 882 54 LOAD_FAST 3 (tmp) 2022-11-23T01:30:35.2438667Z 56 LOAD_FAST 3 (tmp) 2022-11-23T01:30:35.2438756Z 58 LOAD_FAST 2 (rng2) 2022-11-23T01:30:35.2438829Z 60 BINARY_ADD 2022-11-23T01:30:35.2438919Z 62 BUILD_TUPLE 2 2022-11-23T01:30:35.2438995Z 64 RETURN_VALUE 2022-11-23T01:30:35.2439043Z 2022-11-23T01:30:35.2439047Z 2022-11-23T01:30:35.2439372Z [2022-11-23 01:22:14,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:879 2022-11-23T01:30:35.2439592Z [2022-11-23 01:22:14,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2439966Z [2022-11-23 01:22:14,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:30:35.2440385Z [2022-11-23 01:22:14,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable()] 2022-11-23T01:30:35.2440752Z [2022-11-23 01:22:14,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2441286Z [2022-11-23 01:22:14,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(), ConstantVariable(int), TorchVariable()] 2022-11-23T01:30:35.2441695Z [2022-11-23 01:22:14,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:30:35.2442137Z [2022-11-23 01:22:14,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:30:35.2442601Z [2022-11-23 01:22:14,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:30:35.2443132Z [2022-11-23 01:22:14,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.2443376Z [2022-11-23 01:22:14,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:35.2443654Z [2022-11-23 01:22:14,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:35.2443967Z [2022-11-23 01:22:14,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:30:35.2444308Z [2022-11-23 01:22:14,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2444592Z [2022-11-23 01:22:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()] 2022-11-23T01:30:35.2445022Z [2022-11-23 01:22:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:880 2022-11-23T01:30:35.2445242Z [2022-11-23 01:22:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2445613Z [2022-11-23 01:22:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:30:35.2445943Z [2022-11-23 01:22:14,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable()] 2022-11-23T01:30:35.2446306Z [2022-11-23 01:22:14,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2446727Z [2022-11-23 01:22:14,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2447164Z [2022-11-23 01:22:14,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(int), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.2447610Z [2022-11-23 01:22:14,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:30:35.2448089Z [2022-11-23 01:22:14,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.2448341Z [2022-11-23 01:22:14,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()] 2022-11-23T01:30:35.2448658Z [2022-11-23 01:22:14,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:881 2022-11-23T01:30:35.2448852Z [2022-11-23 01:22:14,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2449090Z [2022-11-23 01:22:14,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()] 2022-11-23T01:30:35.2449374Z [2022-11-23 01:22:14,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2449609Z [2022-11-23 01:22:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:30:35.2449921Z [2022-11-23 01:22:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:882 2022-11-23T01:30:35.2450203Z [2022-11-23 01:22:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [] 2022-11-23T01:30:35.2450446Z [2022-11-23 01:22:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()] 2022-11-23T01:30:35.2450716Z [2022-11-23 01:22:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2451013Z [2022-11-23 01:22:14,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2451267Z [2022-11-23 01:22:14,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2451512Z [2022-11-23 01:22:14,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2451943Z [2022-11-23 01:22:14,205] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2452194Z [2022-11-23 01:22:14,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2452429Z [2022-11-23 01:22:14,205] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2452684Z [2022-11-23 01:22:14,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2452933Z [2022-11-23 01:22:14,215] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2453121Z [2022-11-23 01:22:14,216] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2453260Z __compiled_fn_17 .116 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2453339Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2453655Z call_function, arange, , (64,), {'dtype': torch.float32, 'device': device(type='cpu')} 2022-11-23T01:30:35.2453759Z call_method, view, view, (arange, 8, 8), {} 2022-11-23T01:30:35.2454036Z call_function, arange_1, , (10, 18), {'device': device(type='cpu')} 2022-11-23T01:30:35.2454214Z call_function, mul, , (ex_0_, view), {} 2022-11-23T01:30:35.2454394Z call_function, add, , (mul, arange_1), {} 2022-11-23T01:30:35.2454496Z output, output, output, ((mul, add),), {} 2022-11-23T01:30:35.2454502Z 2022-11-23T01:30:35.2454829Z [2022-11-23 01:22:14,216] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2454924Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2455004Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2455093Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2455183Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2455271Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2455361Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2455437Z 12 RETURN_VALUE 2022-11-23T01:30:35.2455442Z 2022-11-23T01:30:35.2455502Z 2022-11-23T01:30:35.2455814Z [2022-11-23 01:22:14,217] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2455921Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_17) 2022-11-23T01:30:35.2456009Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2456100Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2456176Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2456263Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2456366Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2456466Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2456585Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2456664Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2456762Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2456848Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2456922Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.2457008Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.2457082Z 26 RETURN_VALUE 2022-11-23T01:30:35.2457087Z 2022-11-23T01:30:35.2457135Z 2022-11-23T01:30:35.2457322Z [2022-11-23 01:22:14,218] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2457392Z - 2022-11-23T01:30:35.2457508Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2457572Z { 2022-11-23T01:30:35.2457709Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2457930Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2458038Z 'obj_weakref': None 2022-11-23T01:30:35.2458266Z 'guarded_class': 2022-11-23T01:30:35.2458334Z } 2022-11-23T01:30:35.2458398Z 2022-11-23T01:30:35.2458466Z - 2022-11-23T01:30:35.2458586Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.2458648Z { 2022-11-23T01:30:35.2458773Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.2458941Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.2459200Z 'obj_weakref': 2022-11-23T01:30:35.2459515Z 'guarded_class': 2022-11-23T01:30:35.2459620Z } 2022-11-23T01:30:35.2459722Z 2022-11-23T01:30:35.2459793Z - 2022-11-23T01:30:35.2459904Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2459966Z { 2022-11-23T01:30:35.2460109Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2460213Z 'code': None, 2022-11-23T01:30:35.2460418Z 'obj_weakref': 2022-11-23T01:30:35.2460664Z 'guarded_class': 2022-11-23T01:30:35.2460728Z } 2022-11-23T01:30:35.2460777Z 2022-11-23T01:30:35.2460845Z - 2022-11-23T01:30:35.2460976Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2461038Z { 2022-11-23T01:30:35.2461170Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2461339Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:35.2461456Z 'obj_weakref': None 2022-11-23T01:30:35.2461676Z 'guarded_class': 2022-11-23T01:30:35.2461739Z } 2022-11-23T01:30:35.2461804Z 2022-11-23T01:30:35.2461872Z - 2022-11-23T01:30:35.2461993Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2462056Z { 2022-11-23T01:30:35.2462190Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2462394Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2462510Z 'obj_weakref': None 2022-11-23T01:30:35.2462728Z 'guarded_class': 2022-11-23T01:30:35.2462791Z } 2022-11-23T01:30:35.2462852Z 2022-11-23T01:30:35.2462921Z - 2022-11-23T01:30:35.2463054Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2463104Z { 2022-11-23T01:30:35.2463222Z 'guard_types': None, 2022-11-23T01:30:35.2463330Z 'code': None, 2022-11-23T01:30:35.2463446Z 'obj_weakref': None 2022-11-23T01:30:35.2463607Z 'guarded_class': None 2022-11-23T01:30:35.2463670Z } 2022-11-23T01:30:35.2463732Z 2022-11-23T01:30:35.2463788Z - 2022-11-23T01:30:35.2463938Z global 'torch.float32' CONSTANT_MATCH 2022-11-23T01:30:35.2464000Z { 2022-11-23T01:30:35.2464140Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.2464311Z 'code': ["str(torch.float32) == 'torch.float32'"], 2022-11-23T01:30:35.2464426Z 'obj_weakref': None 2022-11-23T01:30:35.2464648Z 'guarded_class': 2022-11-23T01:30:35.2464698Z } 2022-11-23T01:30:35.2464760Z 2022-11-23T01:30:35.2465017Z [2022-11-23 01:22:14,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16 2022-11-23T01:30:35.2465423Z [2022-11-23 01:22:15,899] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vf/cvfyzkotzfq4gy2kzp556kmr3z3ognp6ngphu2bzw3b555minazm.py 2022-11-23T01:30:35.2465689Z [2022-11-23 01:22:15,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16 2022-11-23T01:30:35.2465695Z 2022-11-23T01:30:35.2465788Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2465856Z import torch 2022-11-23T01:30:35.2465924Z import random 2022-11-23T01:30:35.2466025Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2466145Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2466150Z 2022-11-23T01:30:35.2466228Z aten = torch.ops.aten 2022-11-23T01:30:35.2466360Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2466451Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2466456Z 2022-11-23T01:30:35.2466460Z 2022-11-23T01:30:35.2466593Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2466801Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2466921Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2467009Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.2467104Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.2467163Z { 2022-11-23T01:30:35.2467261Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2467321Z { 2022-11-23T01:30:35.2467396Z #pragma omp for 2022-11-23T01:30:35.2467478Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.2467528Z { 2022-11-23T01:30:35.2467589Z { 2022-11-23T01:30:35.2467653Z { 2022-11-23T01:30:35.2467744Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2467846Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.2467934Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.2468007Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.2468072Z } 2022-11-23T01:30:35.2468135Z } 2022-11-23T01:30:35.2468197Z } 2022-11-23T01:30:35.2468274Z #pragma omp for 2022-11-23T01:30:35.2468354Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2468420Z { 2022-11-23T01:30:35.2468489Z #pragma GCC ivdep 2022-11-23T01:30:35.2468571Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.2468633Z { 2022-11-23T01:30:35.2468697Z { 2022-11-23T01:30:35.2468762Z { 2022-11-23T01:30:35.2468862Z auto tmp0 = out_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.2468969Z auto tmp1 = static_cast(10 + i1); 2022-11-23T01:30:35.2469065Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.2469158Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.2469251Z out_ptr1[i1 + (8*i0)] = tmp3; 2022-11-23T01:30:35.2469320Z } 2022-11-23T01:30:35.2469383Z } 2022-11-23T01:30:35.2469446Z } 2022-11-23T01:30:35.2469546Z } 2022-11-23T01:30:35.2469597Z } 2022-11-23T01:30:35.2469656Z } 2022-11-23T01:30:35.2469738Z ''') 2022-11-23T01:30:35.2469743Z 2022-11-23T01:30:35.2469747Z 2022-11-23T01:30:35.2469836Z async_compile.wait(globals()) 2022-11-23T01:30:35.2469907Z del async_compile 2022-11-23T01:30:35.2469912Z 2022-11-23T01:30:35.2469981Z def call(args): 2022-11-23T01:30:35.2470049Z arg0_1, = args 2022-11-23T01:30:35.2470107Z args.clear() 2022-11-23T01:30:35.2470302Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2470494Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2470656Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.2470723Z del arg0_1 2022-11-23T01:30:35.2470841Z return (buf0, buf1, ) 2022-11-23T01:30:35.2470846Z 2022-11-23T01:30:35.2470851Z 2022-11-23T01:30:35.2470926Z if __name__ == "__main__": 2022-11-23T01:30:35.2471041Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2471151Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2471346Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2471452Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2471457Z 2022-11-23T01:30:35.2471525Z ok (1.716s) 2022-11-23T01:30:35.2471831Z test_arange2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2472148Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2472363Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2472617Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2472893Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2473198Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2473545Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2473865Z [2022-11-23 01:22:15,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2474236Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2474334Z 888 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2474427Z 2 LOAD_ATTR 1 (arange) 2022-11-23T01:30:35.2474515Z 4 LOAD_CONST 1 (8) 2022-11-23T01:30:35.2474603Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2474693Z 8 LOAD_ATTR 2 (device) 2022-11-23T01:30:35.2474831Z 10 LOAD_CONST 2 (('device',)) 2022-11-23T01:30:35.2474922Z 12 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.2475013Z 14 STORE_FAST 1 (rng1) 2022-11-23T01:30:35.2475018Z 2022-11-23T01:30:35.2475105Z 889 16 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2475193Z 18 LOAD_FAST 1 (rng1) 2022-11-23T01:30:35.2475266Z 20 BINARY_ADD 2022-11-23T01:30:35.2475354Z 22 BUILD_TUPLE 1 2022-11-23T01:30:35.2475419Z 24 RETURN_VALUE 2022-11-23T01:30:35.2475482Z 2022-11-23T01:30:35.2475487Z 2022-11-23T01:30:35.2475843Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:888 2022-11-23T01:30:35.2476063Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.2476432Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:30:35.2476755Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable()] 2022-11-23T01:30:35.2477111Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2477593Z [2022-11-23 01:22:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.2477998Z [2022-11-23 01:22:15,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:30:35.2478446Z [2022-11-23 01:22:15,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.2478690Z [2022-11-23 01:22:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()] 2022-11-23T01:30:35.2478991Z [2022-11-23 01:22:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:889 2022-11-23T01:30:35.2479203Z [2022-11-23 01:22:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2479448Z [2022-11-23 01:22:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()] 2022-11-23T01:30:35.2479720Z [2022-11-23 01:22:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2479958Z [2022-11-23 01:22:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.2480352Z [2022-11-23 01:22:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2480730Z [2022-11-23 01:22:15,908] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2480978Z [2022-11-23 01:22:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2481218Z [2022-11-23 01:22:15,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2481475Z [2022-11-23 01:22:15,909] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2481711Z [2022-11-23 01:22:15,912] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2481898Z [2022-11-23 01:22:15,913] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2482029Z __compiled_fn_18 .122 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2482118Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2482391Z call_function, arange, , (8,), {'device': device(type='cpu')} 2022-11-23T01:30:35.2482573Z call_function, add, , (ex_0_, arange), {} 2022-11-23T01:30:35.2482672Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.2482678Z 2022-11-23T01:30:35.2483043Z [2022-11-23 01:22:15,913] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2483137Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2483214Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2483300Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2483391Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2483473Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2483686Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2483763Z 12 RETURN_VALUE 2022-11-23T01:30:35.2483768Z 2022-11-23T01:30:35.2483829Z 2022-11-23T01:30:35.2484146Z [2022-11-23 01:22:15,913] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2484289Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_18) 2022-11-23T01:30:35.2484377Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2484468Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2484544Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2484630Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2484733Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2484917Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2485008Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2485083Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2485169Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.2485243Z 20 RETURN_VALUE 2022-11-23T01:30:35.2485249Z 2022-11-23T01:30:35.2485309Z 2022-11-23T01:30:35.2485493Z [2022-11-23 01:22:15,914] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2485562Z - 2022-11-23T01:30:35.2485671Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2485734Z { 2022-11-23T01:30:35.2485872Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2486060Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2486180Z 'obj_weakref': None 2022-11-23T01:30:35.2486403Z 'guarded_class': 2022-11-23T01:30:35.2486467Z } 2022-11-23T01:30:35.2486517Z 2022-11-23T01:30:35.2486585Z - 2022-11-23T01:30:35.2486705Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.2486768Z { 2022-11-23T01:30:35.2486907Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.2487076Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.2487286Z 'obj_weakref': 2022-11-23T01:30:35.2487525Z 'guarded_class': 2022-11-23T01:30:35.2487592Z } 2022-11-23T01:30:35.2487654Z 2022-11-23T01:30:35.2487725Z - 2022-11-23T01:30:35.2487847Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2487909Z { 2022-11-23T01:30:35.2488052Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2488146Z 'code': None, 2022-11-23T01:30:35.2488354Z 'obj_weakref': 2022-11-23T01:30:35.2488602Z 'guarded_class': 2022-11-23T01:30:35.2488667Z } 2022-11-23T01:30:35.2488729Z 2022-11-23T01:30:35.2488797Z - 2022-11-23T01:30:35.2488926Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2488976Z { 2022-11-23T01:30:35.2489110Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2489279Z 'code': ['___check_obj_id(model, 140534626723312)'], 2022-11-23T01:30:35.2489397Z 'obj_weakref': None 2022-11-23T01:30:35.2489709Z 'guarded_class': 2022-11-23T01:30:35.2489777Z } 2022-11-23T01:30:35.2489839Z 2022-11-23T01:30:35.2489895Z - 2022-11-23T01:30:35.2490016Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2490080Z { 2022-11-23T01:30:35.2490213Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2490431Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2490549Z 'obj_weakref': None 2022-11-23T01:30:35.2490769Z 'guarded_class': 2022-11-23T01:30:35.2490820Z } 2022-11-23T01:30:35.2490883Z 2022-11-23T01:30:35.2491003Z - 2022-11-23T01:30:35.2491136Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2491198Z { 2022-11-23T01:30:35.2491317Z 'guard_types': None, 2022-11-23T01:30:35.2491423Z 'code': None, 2022-11-23T01:30:35.2491528Z 'obj_weakref': None 2022-11-23T01:30:35.2491648Z 'guarded_class': None 2022-11-23T01:30:35.2491711Z } 2022-11-23T01:30:35.2491772Z 2022-11-23T01:30:35.2492031Z [2022-11-23 01:22:15,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17 2022-11-23T01:30:35.2492395Z [2022-11-23 01:22:17,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6a4cm4rd7r7ctiqnt2oea4chlg4pf24jrad6anl6fp422dwyzvw.py 2022-11-23T01:30:35.2492662Z [2022-11-23 01:22:17,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17 2022-11-23T01:30:35.2492668Z 2022-11-23T01:30:35.2492762Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2492821Z import torch 2022-11-23T01:30:35.2492889Z import random 2022-11-23T01:30:35.2493004Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2493126Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2493131Z 2022-11-23T01:30:35.2493208Z aten = torch.ops.aten 2022-11-23T01:30:35.2493343Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2493435Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2493440Z 2022-11-23T01:30:35.2493444Z 2022-11-23T01:30:35.2493565Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2493769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2493887Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.2493987Z long* __restrict__ out_ptr0) 2022-11-23T01:30:35.2494048Z { 2022-11-23T01:30:35.2494146Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2494209Z { 2022-11-23T01:30:35.2494274Z #pragma omp for 2022-11-23T01:30:35.2494356Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2494442Z { 2022-11-23T01:30:35.2494560Z #pragma GCC ivdep 2022-11-23T01:30:35.2494670Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.2494735Z { 2022-11-23T01:30:35.2494803Z { 2022-11-23T01:30:35.2494857Z { 2022-11-23T01:30:35.2494960Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.2495065Z auto tmp1 = static_cast(i1); 2022-11-23T01:30:35.2495159Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2495253Z out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:30:35.2495321Z } 2022-11-23T01:30:35.2495385Z } 2022-11-23T01:30:35.2495435Z } 2022-11-23T01:30:35.2495497Z } 2022-11-23T01:30:35.2495557Z } 2022-11-23T01:30:35.2495618Z } 2022-11-23T01:30:35.2495699Z ''') 2022-11-23T01:30:35.2495704Z 2022-11-23T01:30:35.2495708Z 2022-11-23T01:30:35.2495794Z async_compile.wait(globals()) 2022-11-23T01:30:35.2495913Z del async_compile 2022-11-23T01:30:35.2495918Z 2022-11-23T01:30:35.2495977Z def call(args): 2022-11-23T01:30:35.2496048Z arg0_1, = args 2022-11-23T01:30:35.2496119Z args.clear() 2022-11-23T01:30:35.2496309Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2496443Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2496510Z del arg0_1 2022-11-23T01:30:35.2496580Z return (buf0, ) 2022-11-23T01:30:35.2496584Z 2022-11-23T01:30:35.2496588Z 2022-11-23T01:30:35.2496664Z if __name__ == "__main__": 2022-11-23T01:30:35.2496765Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2496887Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2497079Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2497218Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2497223Z 2022-11-23T01:30:35.2497289Z ok (1.549s) 2022-11-23T01:30:35.2497601Z test_arange3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2497918Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2498133Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2498373Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2498658Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2498980Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2499328Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2499650Z [2022-11-23 01:22:17,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2500023Z [2022-11-23 01:22:17,454] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2500116Z 895 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2500208Z 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2500299Z 4 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.2500376Z 6 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.2500469Z 8 LOAD_ATTR 3 (arange) 2022-11-23T01:30:35.2500565Z 10 LOAD_ATTR 4 (start_step) 2022-11-23T01:30:35.2500570Z 2022-11-23T01:30:35.2500662Z 896 12 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2500749Z 14 LOAD_CONST 2 (53) 2022-11-23T01:30:35.2500834Z 16 LOAD_CONST 3 (4) 2022-11-23T01:30:35.2500925Z 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2501011Z 20 LOAD_ATTR 5 (int64) 2022-11-23T01:30:35.2501085Z 22 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2501175Z 24 LOAD_ATTR 6 (device) 2022-11-23T01:30:35.2501179Z 2022-11-23T01:30:35.2501340Z 895 26 LOAD_CONST 4 (('dtype', 'device')) 2022-11-23T01:30:35.2501430Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:30:35.2501502Z 30 BINARY_ADD 2022-11-23T01:30:35.2501580Z 32 RETURN_VALUE 2022-11-23T01:30:35.2501640Z 2022-11-23T01:30:35.2501645Z 2022-11-23T01:30:35.2502002Z [2022-11-23 01:22:17,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895 2022-11-23T01:30:35.2502200Z [2022-11-23 01:22:17,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2502446Z [2022-11-23 01:22:17,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.2502840Z [2022-11-23 01:22:17,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2503162Z [2022-11-23 01:22:17,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2503500Z [2022-11-23 01:22:17,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2503837Z [2022-11-23 01:22:17,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)] 2022-11-23T01:30:35.2504150Z [2022-11-23 01:22:17,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:896 2022-11-23T01:30:35.2504450Z [2022-11-23 01:22:17,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)] 2022-11-23T01:30:35.2504788Z [2022-11-23 01:22:17,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)] 2022-11-23T01:30:35.2505163Z [2022-11-23 01:22:17,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2505593Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2506168Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable()] 2022-11-23T01:30:35.2506618Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:30:35.2507093Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:30:35.2507412Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895 2022-11-23T01:30:35.2507925Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:30:35.2508466Z [2022-11-23 01:22:17,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.2508739Z [2022-11-23 01:22:17,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2509027Z [2022-11-23 01:22:17,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2509404Z [2022-11-23 01:22:17,465] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2509646Z [2022-11-23 01:22:17,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2509879Z [2022-11-23 01:22:17,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2510132Z [2022-11-23 01:22:17,466] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2510379Z [2022-11-23 01:22:17,469] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2510599Z [2022-11-23 01:22:17,469] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2510718Z __compiled_fn_19 .128 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2510809Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2511089Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cpu')} 2022-11-23T01:30:35.2511287Z call_function, add, , (ex_0_, arange_start_step), {} 2022-11-23T01:30:35.2511380Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.2511386Z 2022-11-23T01:30:35.2511708Z [2022-11-23 01:22:17,470] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2511800Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2511891Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2511965Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2512058Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2512143Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2512233Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2512308Z 12 RETURN_VALUE 2022-11-23T01:30:35.2512313Z 2022-11-23T01:30:35.2512373Z 2022-11-23T01:30:35.2512697Z [2022-11-23 01:22:17,470] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2512802Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_19) 2022-11-23T01:30:35.2512879Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2512967Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2513043Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2513129Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2513216Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2513290Z 12 RETURN_VALUE 2022-11-23T01:30:35.2513297Z 2022-11-23T01:30:35.2513356Z 2022-11-23T01:30:35.2513527Z [2022-11-23 01:22:17,471] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2513596Z - 2022-11-23T01:30:35.2513718Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2513783Z { 2022-11-23T01:30:35.2513922Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2514106Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2514226Z 'obj_weakref': None 2022-11-23T01:30:35.2514438Z 'guarded_class': 2022-11-23T01:30:35.2514502Z } 2022-11-23T01:30:35.2514565Z 2022-11-23T01:30:35.2514633Z - 2022-11-23T01:30:35.2514754Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.2514816Z { 2022-11-23T01:30:35.2514952Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.2515107Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.2515322Z 'obj_weakref': 2022-11-23T01:30:35.2515612Z 'guarded_class': 2022-11-23T01:30:35.2515678Z } 2022-11-23T01:30:35.2515740Z 2022-11-23T01:30:35.2515808Z - 2022-11-23T01:30:35.2515930Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2515981Z { 2022-11-23T01:30:35.2516120Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2516230Z 'code': None, 2022-11-23T01:30:35.2516436Z 'obj_weakref': 2022-11-23T01:30:35.2516681Z 'guarded_class': 2022-11-23T01:30:35.2516744Z } 2022-11-23T01:30:35.2516841Z 2022-11-23T01:30:35.2516898Z - 2022-11-23T01:30:35.2517029Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2517091Z { 2022-11-23T01:30:35.2517226Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2517392Z 'code': ['___check_obj_id(model, 140534626720576)'], 2022-11-23T01:30:35.2517509Z 'obj_weakref': None 2022-11-23T01:30:35.2517739Z 'guarded_class': 2022-11-23T01:30:35.2517789Z } 2022-11-23T01:30:35.2517853Z 2022-11-23T01:30:35.2517922Z - 2022-11-23T01:30:35.2518043Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2518104Z { 2022-11-23T01:30:35.2518239Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2518453Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2518558Z 'obj_weakref': None 2022-11-23T01:30:35.2518783Z 'guarded_class': 2022-11-23T01:30:35.2518845Z } 2022-11-23T01:30:35.2518923Z 2022-11-23T01:30:35.2518992Z - 2022-11-23T01:30:35.2519123Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2519185Z { 2022-11-23T01:30:35.2519290Z 'guard_types': None, 2022-11-23T01:30:35.2519395Z 'code': None, 2022-11-23T01:30:35.2519512Z 'obj_weakref': None 2022-11-23T01:30:35.2519632Z 'guarded_class': None 2022-11-23T01:30:35.2519694Z } 2022-11-23T01:30:35.2519756Z 2022-11-23T01:30:35.2519826Z - 2022-11-23T01:30:35.2519957Z global 'torch.int64' CONSTANT_MATCH 2022-11-23T01:30:35.2520104Z { 2022-11-23T01:30:35.2520253Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.2520422Z 'code': ["str(torch.int64) == 'torch.int64'"], 2022-11-23T01:30:35.2520541Z 'obj_weakref': None 2022-11-23T01:30:35.2520766Z 'guarded_class': 2022-11-23T01:30:35.2520832Z } 2022-11-23T01:30:35.2520883Z 2022-11-23T01:30:35.2521142Z [2022-11-23 01:22:17,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18 2022-11-23T01:30:35.2521505Z [2022-11-23 01:22:18,933] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2f/c2fn7oyrurllm2eg5da737ed2dhwmsvlfkoffzhqa5opnmuujgzz.py 2022-11-23T01:30:35.2521764Z [2022-11-23 01:22:18,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18 2022-11-23T01:30:35.2521771Z 2022-11-23T01:30:35.2521864Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2521933Z import torch 2022-11-23T01:30:35.2522001Z import random 2022-11-23T01:30:35.2522116Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2522229Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2522234Z 2022-11-23T01:30:35.2522310Z aten = torch.ops.aten 2022-11-23T01:30:35.2522492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2522586Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2522591Z 2022-11-23T01:30:35.2522596Z 2022-11-23T01:30:35.2522728Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2522934Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2523052Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2523150Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2523197Z { 2022-11-23T01:30:35.2523294Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2523358Z { 2022-11-23T01:30:35.2523434Z #pragma omp for 2022-11-23T01:30:35.2523515Z for(long i0=0; i0<14; i0+=1) 2022-11-23T01:30:35.2523577Z { 2022-11-23T01:30:35.2523672Z { 2022-11-23T01:30:35.2523724Z { 2022-11-23T01:30:35.2523814Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2523921Z auto tmp1 = static_cast(4*i0); 2022-11-23T01:30:35.2524025Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.2524113Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.2524196Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.2524258Z } 2022-11-23T01:30:35.2524308Z } 2022-11-23T01:30:35.2524368Z } 2022-11-23T01:30:35.2524429Z } 2022-11-23T01:30:35.2524488Z } 2022-11-23T01:30:35.2524565Z ''') 2022-11-23T01:30:35.2524570Z 2022-11-23T01:30:35.2524574Z 2022-11-23T01:30:35.2524662Z async_compile.wait(globals()) 2022-11-23T01:30:35.2524721Z del async_compile 2022-11-23T01:30:35.2524737Z 2022-11-23T01:30:35.2525014Z def call(args): 2022-11-23T01:30:35.2525086Z arg0_1, = args 2022-11-23T01:30:35.2525156Z args.clear() 2022-11-23T01:30:35.2525357Z buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2525491Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2525561Z del arg0_1 2022-11-23T01:30:35.2525631Z return (buf0, ) 2022-11-23T01:30:35.2525636Z 2022-11-23T01:30:35.2525640Z 2022-11-23T01:30:35.2525703Z if __name__ == "__main__": 2022-11-23T01:30:35.2525817Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2525939Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2526133Z arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2526239Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2526244Z 2022-11-23T01:30:35.2526310Z ok (1.485s) 2022-11-23T01:30:35.2526615Z test_arange4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2526938Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2527147Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2527401Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2527678Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2527996Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2528345Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2528668Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2529103Z [2022-11-23 01:22:18,939] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2529199Z 903 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2529292Z 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.2529384Z 4 LOAD_ATTR 1 (arange) 2022-11-23T01:30:35.2529461Z 6 LOAD_CONST 1 (512) 2022-11-23T01:30:35.2529599Z 8 LOAD_CONST 2 (-512) 2022-11-23T01:30:35.2529736Z 10 LOAD_CONST 3 (-1.0) 2022-11-23T01:30:35.2529823Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2529913Z 14 LOAD_ATTR 2 (device) 2022-11-23T01:30:35.2530060Z 16 LOAD_CONST 4 (('device',)) 2022-11-23T01:30:35.2530191Z 18 CALL_FUNCTION_KW 4 2022-11-23T01:30:35.2530257Z 20 BINARY_SUBTRACT 2022-11-23T01:30:35.2530337Z 22 RETURN_VALUE 2022-11-23T01:30:35.2530398Z 2022-11-23T01:30:35.2530404Z 2022-11-23T01:30:35.2530718Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:903 2022-11-23T01:30:35.2530927Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.2531173Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.2531566Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2531919Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2532321Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2532757Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2533221Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:30:35.2533708Z [2022-11-23 01:22:18,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:35.2534227Z [2022-11-23 01:22:18,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu)] 2022-11-23T01:30:35.2534776Z [2022-11-23 01:22:18,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.2535054Z [2022-11-23 01:22:18,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2535301Z [2022-11-23 01:22:18,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2535726Z [2022-11-23 01:22:18,943] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2535971Z [2022-11-23 01:22:18,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2536204Z [2022-11-23 01:22:18,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2536455Z [2022-11-23 01:22:18,944] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2536702Z [2022-11-23 01:22:18,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2536887Z [2022-11-23 01:22:18,947] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2537019Z __compiled_fn_20 .134 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2537133Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2537426Z call_function, arange, , (512, -512, -1.0), {'device': device(type='cpu')} 2022-11-23T01:30:35.2537603Z call_function, sub, , (ex_0_, arange), {} 2022-11-23T01:30:35.2537698Z output, output, output, ((sub,),), {} 2022-11-23T01:30:35.2537703Z 2022-11-23T01:30:35.2538028Z [2022-11-23 01:22:18,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2538121Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2538210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2538297Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2538377Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2538461Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2538552Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2538627Z 12 RETURN_VALUE 2022-11-23T01:30:35.2538632Z 2022-11-23T01:30:35.2538692Z 2022-11-23T01:30:35.2539023Z [2022-11-23 01:22:18,948] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2539130Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_20) 2022-11-23T01:30:35.2539218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2539294Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2539370Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2539457Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2539546Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2539619Z 12 RETURN_VALUE 2022-11-23T01:30:35.2539624Z 2022-11-23T01:30:35.2539683Z 2022-11-23T01:30:35.2539865Z [2022-11-23 01:22:18,948] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2539926Z - 2022-11-23T01:30:35.2540044Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2540109Z { 2022-11-23T01:30:35.2540250Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2540435Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2540552Z 'obj_weakref': None 2022-11-23T01:30:35.2540776Z 'guarded_class': 2022-11-23T01:30:35.2540827Z } 2022-11-23T01:30:35.2540890Z 2022-11-23T01:30:35.2540959Z - 2022-11-23T01:30:35.2541078Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.2541141Z { 2022-11-23T01:30:35.2541280Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.2541448Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.2541648Z 'obj_weakref': 2022-11-23T01:30:35.2541901Z 'guarded_class': 2022-11-23T01:30:35.2542003Z } 2022-11-23T01:30:35.2542068Z 2022-11-23T01:30:35.2542137Z - 2022-11-23T01:30:35.2542261Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2542323Z { 2022-11-23T01:30:35.2542453Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2542559Z 'code': None, 2022-11-23T01:30:35.2542766Z 'obj_weakref': 2022-11-23T01:30:35.2543018Z 'guarded_class': 2022-11-23T01:30:35.2543080Z } 2022-11-23T01:30:35.2543142Z 2022-11-23T01:30:35.2543211Z - 2022-11-23T01:30:35.2543329Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2543429Z { 2022-11-23T01:30:35.2543564Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2543730Z 'code': ['___check_obj_id(model, 140534626723888)'], 2022-11-23T01:30:35.2543849Z 'obj_weakref': None 2022-11-23T01:30:35.2544076Z 'guarded_class': 2022-11-23T01:30:35.2544138Z } 2022-11-23T01:30:35.2544190Z 2022-11-23T01:30:35.2544259Z - 2022-11-23T01:30:35.2544378Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2544440Z { 2022-11-23T01:30:35.2544574Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2544790Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2544906Z 'obj_weakref': None 2022-11-23T01:30:35.2545115Z 'guarded_class': 2022-11-23T01:30:35.2545180Z } 2022-11-23T01:30:35.2545241Z 2022-11-23T01:30:35.2545310Z - 2022-11-23T01:30:35.2545441Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.2545506Z { 2022-11-23T01:30:35.2545623Z 'guard_types': None, 2022-11-23T01:30:35.2545716Z 'code': None, 2022-11-23T01:30:35.2545833Z 'obj_weakref': None 2022-11-23T01:30:35.2545954Z 'guarded_class': None 2022-11-23T01:30:35.2546015Z } 2022-11-23T01:30:35.2546077Z 2022-11-23T01:30:35.2546332Z [2022-11-23 01:22:18,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19 2022-11-23T01:30:35.2546699Z [2022-11-23 01:22:20,412] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dy/cdy6b43xjgwwagbi7g5svyktlft4liycw4n5mavfqzxo66ypy5tv.py 2022-11-23T01:30:35.2546945Z [2022-11-23 01:22:20,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19 2022-11-23T01:30:35.2546967Z 2022-11-23T01:30:35.2547047Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2547114Z import torch 2022-11-23T01:30:35.2547186Z import random 2022-11-23T01:30:35.2547301Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2547421Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2547427Z 2022-11-23T01:30:35.2547504Z aten = torch.ops.aten 2022-11-23T01:30:35.2547636Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2547716Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2547721Z 2022-11-23T01:30:35.2547738Z 2022-11-23T01:30:35.2547857Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2548062Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2548182Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2548282Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2548345Z { 2022-11-23T01:30:35.2548441Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2548501Z { 2022-11-23T01:30:35.2548565Z #pragma omp for 2022-11-23T01:30:35.2548690Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.2548757Z { 2022-11-23T01:30:35.2548820Z { 2022-11-23T01:30:35.2548887Z { 2022-11-23T01:30:35.2548978Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2549137Z auto tmp1 = static_cast(512 + ((-1)*i0)); 2022-11-23T01:30:35.2549242Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.2549378Z auto tmp3 = tmp0 - tmp2; 2022-11-23T01:30:35.2549463Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.2549527Z } 2022-11-23T01:30:35.2549590Z } 2022-11-23T01:30:35.2549651Z } 2022-11-23T01:30:35.2549699Z } 2022-11-23T01:30:35.2549762Z } 2022-11-23T01:30:35.2549839Z ''') 2022-11-23T01:30:35.2549888Z 2022-11-23T01:30:35.2549892Z 2022-11-23T01:30:35.2549983Z async_compile.wait(globals()) 2022-11-23T01:30:35.2550053Z del async_compile 2022-11-23T01:30:35.2550058Z 2022-11-23T01:30:35.2550129Z def call(args): 2022-11-23T01:30:35.2550197Z arg0_1, = args 2022-11-23T01:30:35.2550255Z args.clear() 2022-11-23T01:30:35.2550452Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2550584Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2550652Z del arg0_1 2022-11-23T01:30:35.2550722Z return (buf0, ) 2022-11-23T01:30:35.2550726Z 2022-11-23T01:30:35.2550730Z 2022-11-23T01:30:35.2550805Z if __name__ == "__main__": 2022-11-23T01:30:35.2550918Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2551041Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2551224Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2551333Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2551337Z 2022-11-23T01:30:35.2551404Z ok (1.491s) 2022-11-23T01:30:35.2551725Z test_argmax_argmin1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2552044Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2552261Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2552514Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2552792Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2553113Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2553460Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2553771Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2554145Z [2022-11-23 01:22:20,440] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2554239Z 4248 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2554333Z 2 LOAD_METHOD 1 (argmax) 2022-11-23T01:30:35.2554421Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2554508Z 6 CALL_METHOD 1 2022-11-23T01:30:35.2554600Z 8 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2554694Z 10 LOAD_METHOD 2 (argmin) 2022-11-23T01:30:35.2554770Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2554890Z 14 CALL_METHOD 1 2022-11-23T01:30:35.2554979Z 16 BUILD_TUPLE 2 2022-11-23T01:30:35.2555055Z 18 RETURN_VALUE 2022-11-23T01:30:35.2555115Z 2022-11-23T01:30:35.2555120Z 2022-11-23T01:30:35.2555436Z [2022-11-23 01:22:20,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4248 2022-11-23T01:30:35.2555653Z [2022-11-23 01:22:20,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2555963Z [2022-11-23 01:22:20,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable()] 2022-11-23T01:30:35.2556204Z [2022-11-23 01:22:20,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)] 2022-11-23T01:30:35.2556526Z [2022-11-23 01:22:20,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()] 2022-11-23T01:30:35.2556771Z [2022-11-23 01:22:20,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.2557103Z [2022-11-23 01:22:20,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2557382Z [2022-11-23 01:22:20,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)] 2022-11-23T01:30:35.2557697Z [2022-11-23 01:22:20,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()] 2022-11-23T01:30:35.2557966Z [2022-11-23 01:22:20,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2558213Z [2022-11-23 01:22:20,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2558595Z [2022-11-23 01:22:20,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2558842Z [2022-11-23 01:22:20,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2559062Z [2022-11-23 01:22:20,456] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2559315Z [2022-11-23 01:22:20,457] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2559564Z [2022-11-23 01:22:20,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2559753Z [2022-11-23 01:22:20,459] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2559889Z __compiled_fn_21 .140 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2560057Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2560185Z call_function, argmax, aten.argmax, (ex_0_,), {} 2022-11-23T01:30:35.2560294Z call_function, argmin, aten.argmin, (ex_0_,), {} 2022-11-23T01:30:35.2560390Z output, output, output, ((argmax, argmin),), {} 2022-11-23T01:30:35.2560408Z 2022-11-23T01:30:35.2560721Z [2022-11-23 01:22:20,460] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2560816Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2560904Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2560988Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2561080Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2561163Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2561252Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2561315Z 12 RETURN_VALUE 2022-11-23T01:30:35.2561320Z 2022-11-23T01:30:35.2561380Z 2022-11-23T01:30:35.2561741Z [2022-11-23 01:22:20,460] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2561852Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_21) 2022-11-23T01:30:35.2561941Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2562028Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2562105Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2562192Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2562282Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2562381Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2562469Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2562544Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2562675Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2562762Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2562838Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.2562912Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.2562986Z 26 RETURN_VALUE 2022-11-23T01:30:35.2562991Z 2022-11-23T01:30:35.2563051Z 2022-11-23T01:30:35.2563232Z [2022-11-23 01:22:20,461] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2563302Z - 2022-11-23T01:30:35.2563418Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2563482Z { 2022-11-23T01:30:35.2563607Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2563792Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2563910Z 'obj_weakref': None 2022-11-23T01:30:35.2564133Z 'guarded_class': 2022-11-23T01:30:35.2564200Z } 2022-11-23T01:30:35.2564262Z 2022-11-23T01:30:35.2564330Z - 2022-11-23T01:30:35.2564441Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2564505Z { 2022-11-23T01:30:35.2564648Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2564841Z 'code': None, 2022-11-23T01:30:35.2565055Z 'obj_weakref': 2022-11-23T01:30:35.2565306Z 'guarded_class': 2022-11-23T01:30:35.2565369Z } 2022-11-23T01:30:35.2565419Z 2022-11-23T01:30:35.2565486Z - 2022-11-23T01:30:35.2565617Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2565679Z { 2022-11-23T01:30:35.2565813Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2565980Z 'code': ['___check_obj_id(model, 140534625214976)'], 2022-11-23T01:30:35.2566101Z 'obj_weakref': None 2022-11-23T01:30:35.2566323Z 'guarded_class': 2022-11-23T01:30:35.2566386Z } 2022-11-23T01:30:35.2566450Z 2022-11-23T01:30:35.2566518Z - 2022-11-23T01:30:35.2566639Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2566701Z { 2022-11-23T01:30:35.2566836Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2567040Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2567158Z 'obj_weakref': None 2022-11-23T01:30:35.2567381Z 'guarded_class': 2022-11-23T01:30:35.2567444Z } 2022-11-23T01:30:35.2567505Z 2022-11-23T01:30:35.2567573Z - 2022-11-23T01:30:35.2567703Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2567755Z { 2022-11-23T01:30:35.2567875Z 'guard_types': None, 2022-11-23T01:30:35.2567980Z 'code': None, 2022-11-23T01:30:35.2568149Z 'obj_weakref': None 2022-11-23T01:30:35.2568270Z 'guarded_class': None 2022-11-23T01:30:35.2568334Z } 2022-11-23T01:30:35.2568396Z 2022-11-23T01:30:35.2568641Z [2022-11-23 01:22:20,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20 2022-11-23T01:30:35.2569011Z [2022-11-23 01:22:21,891] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5gr6awbytbzzo7d6buixrgd6b5ajdaakto2ucgyv6sepp4vzi7.py 2022-11-23T01:30:35.2569276Z [2022-11-23 01:22:21,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20 2022-11-23T01:30:35.2569281Z 2022-11-23T01:30:35.2569373Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2569441Z import torch 2022-11-23T01:30:35.2569552Z import random 2022-11-23T01:30:35.2569667Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2569788Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2569796Z 2022-11-23T01:30:35.2569862Z aten = torch.ops.aten 2022-11-23T01:30:35.2569995Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2570087Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2570092Z 2022-11-23T01:30:35.2570096Z 2022-11-23T01:30:35.2570230Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2570433Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2570551Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2570647Z long* __restrict__ out_ptr0, 2022-11-23T01:30:35.2570739Z long* __restrict__ out_ptr1) 2022-11-23T01:30:35.2570788Z { 2022-11-23T01:30:35.2570848Z { 2022-11-23T01:30:35.2570914Z { 2022-11-23T01:30:35.2571033Z struct IndexValue_1 {size_t index; float value;}; 2022-11-23T01:30:35.2571304Z IndexValue_1 tmp1{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:35.2571443Z #pragma omp declare reduction(argmax : struct IndexValue_1 :\ 2022-11-23T01:30:35.2571589Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:35.2571721Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:35.2571953Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:35.2572071Z struct IndexValue_2 {size_t index; float value;}; 2022-11-23T01:30:35.2572204Z IndexValue_2 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:35.2572338Z #pragma omp declare reduction(argmin : struct IndexValue_2 :\ 2022-11-23T01:30:35.2572480Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:35.2572623Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:35.2572765Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:35.2572869Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2572920Z { 2022-11-23T01:30:35.2573057Z #pragma omp for reduction(argmax:tmp1) reduction(argmin:tmp2) 2022-11-23T01:30:35.2573150Z for(long i0=0; i0<524288; i0+=1) 2022-11-23T01:30:35.2573214Z { 2022-11-23T01:30:35.2573281Z { 2022-11-23T01:30:35.2573374Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2573468Z if (tmp1.value < tmp0) { 2022-11-23T01:30:35.2573566Z tmp1.index = i0; tmp1.value = tmp0; 2022-11-23T01:30:35.2573635Z } 2022-11-23T01:30:35.2573729Z if (tmp2.value > tmp0) { 2022-11-23T01:30:35.2573837Z tmp2.index = i0; tmp2.value = tmp0; 2022-11-23T01:30:35.2573905Z } 2022-11-23T01:30:35.2574010Z } 2022-11-23T01:30:35.2574076Z } 2022-11-23T01:30:35.2574126Z } 2022-11-23T01:30:35.2574211Z out_ptr0[0] = tmp1.index; 2022-11-23T01:30:35.2574294Z out_ptr1[0] = tmp2.index; 2022-11-23T01:30:35.2574357Z } 2022-11-23T01:30:35.2574418Z } 2022-11-23T01:30:35.2574477Z } 2022-11-23T01:30:35.2574543Z ''') 2022-11-23T01:30:35.2574560Z 2022-11-23T01:30:35.2574565Z 2022-11-23T01:30:35.2574642Z async_compile.wait(globals()) 2022-11-23T01:30:35.2574718Z del async_compile 2022-11-23T01:30:35.2574723Z 2022-11-23T01:30:35.2574792Z def call(args): 2022-11-23T01:30:35.2574860Z arg0_1, = args 2022-11-23T01:30:35.2574929Z args.clear() 2022-11-23T01:30:35.2575109Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2575335Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2575488Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.2575556Z del arg0_1 2022-11-23T01:30:35.2575633Z return (buf0, buf1, ) 2022-11-23T01:30:35.2575638Z 2022-11-23T01:30:35.2575642Z 2022-11-23T01:30:35.2575717Z if __name__ == "__main__": 2022-11-23T01:30:35.2575833Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2575955Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2576169Z arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2576276Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2576281Z 2022-11-23T01:30:35.2576334Z ok (1.466s) 2022-11-23T01:30:35.2576652Z test_argmax_argmin2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2576975Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2577192Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2577445Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2577719Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2578037Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2578383Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2578707Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2579086Z [2022-11-23 01:22:21,897] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2579168Z 4260 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2579263Z 2 LOAD_METHOD 1 (argmax) 2022-11-23T01:30:35.2579353Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2579442Z 6 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2579530Z 8 CALL_METHOD 2 2022-11-23T01:30:35.2579535Z 2022-11-23T01:30:35.2579625Z 4261 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2579717Z 12 LOAD_METHOD 2 (argmin) 2022-11-23T01:30:35.2579805Z 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2579881Z 16 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2579967Z 18 CALL_METHOD 2 2022-11-23T01:30:35.2580057Z 2022-11-23T01:30:35.2580152Z 4262 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2580245Z 22 LOAD_METHOD 1 (argmax) 2022-11-23T01:30:35.2580332Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2580419Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2580505Z 28 CALL_METHOD 2 2022-11-23T01:30:35.2580510Z 2022-11-23T01:30:35.2580600Z 4263 30 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2580679Z 32 LOAD_METHOD 2 (argmin) 2022-11-23T01:30:35.2580764Z 34 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2580851Z 36 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2580937Z 38 CALL_METHOD 2 2022-11-23T01:30:35.2580976Z 2022-11-23T01:30:35.2581064Z 4259 40 BUILD_TUPLE 4 2022-11-23T01:30:35.2581140Z 42 RETURN_VALUE 2022-11-23T01:30:35.2581200Z 2022-11-23T01:30:35.2581208Z 2022-11-23T01:30:35.2581513Z [2022-11-23 01:22:21,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4260 2022-11-23T01:30:35.2581730Z [2022-11-23 01:22:21,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2582038Z [2022-11-23 01:22:21,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable()] 2022-11-23T01:30:35.2582290Z [2022-11-23 01:22:21,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)] 2022-11-23T01:30:35.2582575Z [2022-11-23 01:22:21,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()] 2022-11-23T01:30:35.2582901Z [2022-11-23 01:22:21,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2583217Z [2022-11-23 01:22:21,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4261 2022-11-23T01:30:35.2583461Z [2022-11-23 01:22:21,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.2583795Z [2022-11-23 01:22:21,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2584074Z [2022-11-23 01:22:21,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)] 2022-11-23T01:30:35.2584381Z [2022-11-23 01:22:21,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()] 2022-11-23T01:30:35.2584721Z [2022-11-23 01:22:21,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2585032Z [2022-11-23 01:22:21,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4262 2022-11-23T01:30:35.2585303Z [2022-11-23 01:22:21,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2585666Z [2022-11-23 01:22:21,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2585973Z [2022-11-23 01:22:21,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)] 2022-11-23T01:30:35.2586309Z [2022-11-23 01:22:21,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()] 2022-11-23T01:30:35.2586723Z [2022-11-23 01:22:21,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2587037Z [2022-11-23 01:22:21,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4263 2022-11-23T01:30:35.2587332Z [2022-11-23 01:22:21,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2587723Z [2022-11-23 01:22:21,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2588053Z [2022-11-23 01:22:21,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)] 2022-11-23T01:30:35.2588455Z [2022-11-23 01:22:21,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()] 2022-11-23T01:30:35.2588851Z [2022-11-23 01:22:21,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2589159Z [2022-11-23 01:22:21,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4259 2022-11-23T01:30:35.2589480Z [2022-11-23 01:22:21,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2589724Z [2022-11-23 01:22:21,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2590109Z [2022-11-23 01:22:21,928] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2590353Z [2022-11-23 01:22:21,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2590585Z [2022-11-23 01:22:21,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2590842Z [2022-11-23 01:22:21,930] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2591088Z [2022-11-23 01:22:21,933] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2591274Z [2022-11-23 01:22:21,933] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2591395Z __compiled_fn_22 .146 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2591486Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2591594Z call_function, argmax, aten.argmax, (ex_0_, 0), {} 2022-11-23T01:30:35.2591703Z call_function, argmin, aten.argmin, (ex_0_, 0), {} 2022-11-23T01:30:35.2591814Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {} 2022-11-23T01:30:35.2591921Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {} 2022-11-23T01:30:35.2592050Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {} 2022-11-23T01:30:35.2592055Z 2022-11-23T01:30:35.2592377Z [2022-11-23 01:22:21,934] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2592457Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2592547Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2592635Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2592726Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2592813Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2592900Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2592975Z 12 RETURN_VALUE 2022-11-23T01:30:35.2592980Z 2022-11-23T01:30:35.2593080Z 2022-11-23T01:30:35.2593394Z [2022-11-23 01:22:21,934] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2593500Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_22) 2022-11-23T01:30:35.2593588Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2593678Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2593753Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2593839Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2593940Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2594027Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2594115Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2594226Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2594322Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2594411Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2594485Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.2594582Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2594657Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2594731Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.2594828Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2594911Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:35.2594986Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.2595069Z 36 BUILD_TUPLE 4 2022-11-23T01:30:35.2595143Z 38 RETURN_VALUE 2022-11-23T01:30:35.2595148Z 2022-11-23T01:30:35.2595208Z 2022-11-23T01:30:35.2595377Z [2022-11-23 01:22:21,935] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2595449Z - 2022-11-23T01:30:35.2595569Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2595633Z { 2022-11-23T01:30:35.2595774Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2595963Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2596081Z 'obj_weakref': None 2022-11-23T01:30:35.2596292Z 'guarded_class': 2022-11-23T01:30:35.2596358Z } 2022-11-23T01:30:35.2596423Z 2022-11-23T01:30:35.2596492Z - 2022-11-23T01:30:35.2596612Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2596675Z { 2022-11-23T01:30:35.2596815Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2596908Z 'code': None, 2022-11-23T01:30:35.2597118Z 'obj_weakref': 2022-11-23T01:30:35.2597372Z 'guarded_class': 2022-11-23T01:30:35.2597436Z } 2022-11-23T01:30:35.2597501Z 2022-11-23T01:30:35.2597569Z - 2022-11-23T01:30:35.2597698Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2597749Z { 2022-11-23T01:30:35.2597881Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2598049Z 'code': ['___check_obj_id(model, 140534626722880)'], 2022-11-23T01:30:35.2598166Z 'obj_weakref': None 2022-11-23T01:30:35.2598398Z 'guarded_class': 2022-11-23T01:30:35.2598462Z } 2022-11-23T01:30:35.2598524Z 2022-11-23T01:30:35.2598579Z - 2022-11-23T01:30:35.2598698Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2598763Z { 2022-11-23T01:30:35.2598898Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2599116Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2599276Z 'obj_weakref': None 2022-11-23T01:30:35.2599499Z 'guarded_class': 2022-11-23T01:30:35.2599551Z } 2022-11-23T01:30:35.2599613Z 2022-11-23T01:30:35.2599680Z - 2022-11-23T01:30:35.2599809Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2599870Z { 2022-11-23T01:30:35.2600071Z 'guard_types': None, 2022-11-23T01:30:35.2600168Z 'code': None, 2022-11-23T01:30:35.2600286Z 'obj_weakref': None 2022-11-23T01:30:35.2600404Z 'guarded_class': None 2022-11-23T01:30:35.2600469Z } 2022-11-23T01:30:35.2600531Z 2022-11-23T01:30:35.2600787Z [2022-11-23 01:22:21,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21 2022-11-23T01:30:35.2601201Z [2022-11-23 01:22:23,419] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xs/cxs7bv7ulvk2dhgcdnhqun5oeyzk7u6clhovfsv3msfor2qd77w6.py 2022-11-23T01:30:35.2601462Z [2022-11-23 01:22:23,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21 2022-11-23T01:30:35.2601469Z 2022-11-23T01:30:35.2601549Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2601619Z import torch 2022-11-23T01:30:35.2601686Z import random 2022-11-23T01:30:35.2601801Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2601920Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2601925Z 2022-11-23T01:30:35.2602003Z aten = torch.ops.aten 2022-11-23T01:30:35.2602135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2602227Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2602232Z 2022-11-23T01:30:35.2602237Z 2022-11-23T01:30:35.2602360Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2602562Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2602682Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2602779Z long* __restrict__ out_ptr0, 2022-11-23T01:30:35.2602873Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.2602963Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.2603054Z long* __restrict__ out_ptr3) 2022-11-23T01:30:35.2603115Z { 2022-11-23T01:30:35.2603198Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2603258Z { 2022-11-23T01:30:35.2603334Z #pragma omp for 2022-11-23T01:30:35.2603416Z for(long i0=0; i0<144; i0+=1) 2022-11-23T01:30:35.2603478Z { 2022-11-23T01:30:35.2603542Z { 2022-11-23T01:30:35.2603594Z { 2022-11-23T01:30:35.2603714Z struct IndexValue_3 {size_t index; float value;}; 2022-11-23T01:30:35.2603962Z IndexValue_3 tmp1{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:35.2604104Z #pragma omp declare reduction(argmax : struct IndexValue_3 :\ 2022-11-23T01:30:35.2604257Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:35.2604401Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:35.2604644Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:35.2604880Z struct IndexValue_4 {size_t index; float value;}; 2022-11-23T01:30:35.2605016Z IndexValue_4 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:35.2605140Z #pragma omp declare reduction(argmin : struct IndexValue_4 :\ 2022-11-23T01:30:35.2605290Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:35.2605437Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:35.2605635Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:35.2605729Z for(long i1=0; i1<144; i1+=1) 2022-11-23T01:30:35.2605796Z { 2022-11-23T01:30:35.2605865Z { 2022-11-23T01:30:35.2605968Z auto tmp0 = in_ptr0[i0 + (144*i1)]; 2022-11-23T01:30:35.2606053Z if (tmp1.value < tmp0) { 2022-11-23T01:30:35.2606163Z tmp1.index = i1; tmp1.value = tmp0; 2022-11-23T01:30:35.2606232Z } 2022-11-23T01:30:35.2606326Z if (tmp2.value > tmp0) { 2022-11-23T01:30:35.2606435Z tmp2.index = i1; tmp2.value = tmp0; 2022-11-23T01:30:35.2606546Z } 2022-11-23T01:30:35.2606613Z } 2022-11-23T01:30:35.2606666Z } 2022-11-23T01:30:35.2606763Z out_ptr0[i0] = tmp1.index; 2022-11-23T01:30:35.2606855Z out_ptr1[i0] = tmp2.index; 2022-11-23T01:30:35.2606919Z } 2022-11-23T01:30:35.2606982Z } 2022-11-23T01:30:35.2607043Z } 2022-11-23T01:30:35.2607120Z #pragma omp for 2022-11-23T01:30:35.2607189Z for(long i0=0; i0<144; i0+=1) 2022-11-23T01:30:35.2607250Z { 2022-11-23T01:30:35.2607312Z { 2022-11-23T01:30:35.2607376Z { 2022-11-23T01:30:35.2607496Z struct IndexValue_5 {size_t index; float value;}; 2022-11-23T01:30:35.2607729Z IndexValue_5 tmp1{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:35.2607869Z #pragma omp declare reduction(argmax : struct IndexValue_5 :\ 2022-11-23T01:30:35.2608009Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:35.2608156Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:35.2608399Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:35.2608517Z struct IndexValue_6 {size_t index; float value;}; 2022-11-23T01:30:35.2608651Z IndexValue_6 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:35.2608789Z #pragma omp declare reduction(argmin : struct IndexValue_6 :\ 2022-11-23T01:30:35.2608938Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:35.2609079Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:35.2609220Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:35.2609301Z for(long i1=0; i1<144; i1+=1) 2022-11-23T01:30:35.2609369Z { 2022-11-23T01:30:35.2609441Z { 2022-11-23T01:30:35.2609543Z auto tmp0 = in_ptr0[i1 + (144*i0)]; 2022-11-23T01:30:35.2609639Z if (tmp1.value < tmp0) { 2022-11-23T01:30:35.2609749Z tmp1.index = i1; tmp1.value = tmp0; 2022-11-23T01:30:35.2609818Z } 2022-11-23T01:30:35.2609899Z if (tmp2.value > tmp0) { 2022-11-23T01:30:35.2610006Z tmp2.index = i1; tmp2.value = tmp0; 2022-11-23T01:30:35.2610076Z } 2022-11-23T01:30:35.2610143Z } 2022-11-23T01:30:35.2610207Z } 2022-11-23T01:30:35.2610301Z out_ptr2[i0] = tmp1.index; 2022-11-23T01:30:35.2610391Z out_ptr3[i0] = tmp2.index; 2022-11-23T01:30:35.2610447Z } 2022-11-23T01:30:35.2610510Z } 2022-11-23T01:30:35.2610572Z } 2022-11-23T01:30:35.2610632Z } 2022-11-23T01:30:35.2610725Z } 2022-11-23T01:30:35.2610805Z ''') 2022-11-23T01:30:35.2610811Z 2022-11-23T01:30:35.2610816Z 2022-11-23T01:30:35.2610905Z async_compile.wait(globals()) 2022-11-23T01:30:35.2610964Z del async_compile 2022-11-23T01:30:35.2610969Z 2022-11-23T01:30:35.2611038Z def call(args): 2022-11-23T01:30:35.2611106Z arg0_1, = args 2022-11-23T01:30:35.2611175Z args.clear() 2022-11-23T01:30:35.2611368Z buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2611555Z buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2611743Z buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2611915Z buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.2612159Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:35.2612227Z del arg0_1 2022-11-23T01:30:35.2612318Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:35.2612323Z 2022-11-23T01:30:35.2612327Z 2022-11-23T01:30:35.2612402Z if __name__ == "__main__": 2022-11-23T01:30:35.2612517Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2612639Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2612844Z arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2612950Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2612955Z 2022-11-23T01:30:35.2613009Z ok (1.528s) 2022-11-23T01:30:35.2613123Z test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 2022-11-23T01:30:35.2613278Z FIXME: In the case of having equally max/min elements, our implementation returns 2022-11-23T01:30:35.2613385Z the last index instead of the first one 2022-11-23T01:30:35.2613451Z (0.001s) 2022-11-23T01:30:35.2613764Z test_as_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2614081Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2614297Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2614537Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2614813Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2615134Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2615484Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2615809Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2616179Z [2022-11-23 01:22:23,425] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2616272Z 3607 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2616369Z 2 LOAD_METHOD 1 (as_strided) 2022-11-23T01:30:35.2616459Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2616539Z 6 LOAD_CONST 1 ((8, 8, 64)) 2022-11-23T01:30:35.2616636Z 8 LOAD_CONST 2 ((512, 64, 1)) 2022-11-23T01:30:35.2616778Z 10 LOAD_CONST 3 (0) 2022-11-23T01:30:35.2616866Z 12 CALL_METHOD 4 2022-11-23T01:30:35.2616910Z 2022-11-23T01:30:35.2617004Z 3608 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2617101Z 16 LOAD_METHOD 1 (as_strided) 2022-11-23T01:30:35.2617189Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2617276Z 20 LOAD_CONST 4 (1) 2022-11-23T01:30:35.2617338Z 22 BINARY_ADD 2022-11-23T01:30:35.2617430Z 24 LOAD_CONST 1 ((8, 8, 64)) 2022-11-23T01:30:35.2617522Z 26 LOAD_CONST 2 ((512, 64, 1)) 2022-11-23T01:30:35.2617609Z 28 LOAD_CONST 3 (0) 2022-11-23T01:30:35.2617695Z 30 CALL_METHOD 4 2022-11-23T01:30:35.2617782Z 32 LOAD_CONST 5 (2) 2022-11-23T01:30:35.2617892Z 34 BINARY_ADD 2022-11-23T01:30:35.2617897Z 2022-11-23T01:30:35.2617973Z 3606 36 BUILD_TUPLE 2 2022-11-23T01:30:35.2618049Z 38 RETURN_VALUE 2022-11-23T01:30:35.2618111Z 2022-11-23T01:30:35.2618116Z 2022-11-23T01:30:35.2618431Z [2022-11-23 01:22:23,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3607 2022-11-23T01:30:35.2618647Z [2022-11-23 01:22:23,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2618961Z [2022-11-23 01:22:23,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable()] 2022-11-23T01:30:35.2619219Z [2022-11-23 01:22:23,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)] 2022-11-23T01:30:35.2619513Z [2022-11-23 01:22:23,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()] 2022-11-23T01:30:35.2619854Z [2022-11-23 01:22:23,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.2620223Z [2022-11-23 01:22:23,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)] 2022-11-23T01:30:35.2620623Z [2022-11-23 01:22:23,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)] 2022-11-23T01:30:35.2620935Z [2022-11-23 01:22:23,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3608 2022-11-23T01:30:35.2621180Z [2022-11-23 01:22:23,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.2621520Z [2022-11-23 01:22:23,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.2621807Z [2022-11-23 01:22:23,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)] 2022-11-23T01:30:35.2622119Z [2022-11-23 01:22:23,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()] 2022-11-23T01:30:35.2622477Z [2022-11-23 01:22:23,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2622796Z [2022-11-23 01:22:23,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()] 2022-11-23T01:30:35.2623160Z [2022-11-23 01:22:23,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.2623604Z [2022-11-23 01:22:23,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)] 2022-11-23T01:30:35.2624050Z [2022-11-23 01:22:23,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)] 2022-11-23T01:30:35.2624316Z [2022-11-23 01:22:23,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2624610Z [2022-11-23 01:22:23,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2624920Z [2022-11-23 01:22:23,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3606 2022-11-23T01:30:35.2625222Z [2022-11-23 01:22:23,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2625469Z [2022-11-23 01:22:23,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2625845Z [2022-11-23 01:22:23,442] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2626090Z [2022-11-23 01:22:23,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.2626323Z [2022-11-23 01:22:23,442] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2626573Z [2022-11-23 01:22:23,444] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2626821Z [2022-11-23 01:22:23,448] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2627010Z [2022-11-23 01:22:23,448] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2627132Z __compiled_fn_23 .152 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2627222Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2627354Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {} 2022-11-23T01:30:35.2627526Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.2627660Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {} 2022-11-23T01:30:35.2627844Z call_function, add_1, , (as_strided_1, 2), {} 2022-11-23T01:30:35.2627954Z output, output, output, ((as_strided, add_1),), {} 2022-11-23T01:30:35.2627960Z 2022-11-23T01:30:35.2628286Z [2022-11-23 01:22:23,448] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2628368Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2628459Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2628545Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2628641Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2628724Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2628811Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2628887Z 12 RETURN_VALUE 2022-11-23T01:30:35.2628892Z 2022-11-23T01:30:35.2628952Z 2022-11-23T01:30:35.2629262Z [2022-11-23 01:22:23,448] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2629368Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_23) 2022-11-23T01:30:35.2629456Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2629545Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2629620Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2629743Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2629847Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2629936Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2630023Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2630098Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.2630200Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.2630287Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2630362Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.2630449Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.2630510Z 26 RETURN_VALUE 2022-11-23T01:30:35.2630527Z 2022-11-23T01:30:35.2630575Z 2022-11-23T01:30:35.2630756Z [2022-11-23 01:22:23,449] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2630861Z - 2022-11-23T01:30:35.2630979Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2631043Z { 2022-11-23T01:30:35.2631186Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2631374Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2631480Z 'obj_weakref': None 2022-11-23T01:30:35.2631706Z 'guarded_class': 2022-11-23T01:30:35.2631770Z } 2022-11-23T01:30:35.2631832Z 2022-11-23T01:30:35.2631900Z - 2022-11-23T01:30:35.2632023Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2632089Z { 2022-11-23T01:30:35.2632217Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2632324Z 'code': None, 2022-11-23T01:30:35.2632540Z 'obj_weakref': 2022-11-23T01:30:35.2632792Z 'guarded_class': 2022-11-23T01:30:35.2632856Z } 2022-11-23T01:30:35.2632921Z 2022-11-23T01:30:35.2632989Z - 2022-11-23T01:30:35.2633105Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2633166Z { 2022-11-23T01:30:35.2633299Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2633467Z 'code': ['___check_obj_id(model, 140534621990064)'], 2022-11-23T01:30:35.2633585Z 'obj_weakref': None 2022-11-23T01:30:35.2633814Z 'guarded_class': 2022-11-23T01:30:35.2633877Z } 2022-11-23T01:30:35.2633928Z 2022-11-23T01:30:35.2633996Z - 2022-11-23T01:30:35.2634117Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2634180Z { 2022-11-23T01:30:35.2634313Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2634533Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2634652Z 'obj_weakref': None 2022-11-23T01:30:35.2634861Z 'guarded_class': 2022-11-23T01:30:35.2634923Z } 2022-11-23T01:30:35.2634984Z 2022-11-23T01:30:35.2635053Z - 2022-11-23T01:30:35.2635183Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2635246Z { 2022-11-23T01:30:35.2635352Z 'guard_types': None, 2022-11-23T01:30:35.2635458Z 'code': None, 2022-11-23T01:30:35.2635573Z 'obj_weakref': None 2022-11-23T01:30:35.2635692Z 'guarded_class': None 2022-11-23T01:30:35.2635754Z } 2022-11-23T01:30:35.2635817Z 2022-11-23T01:30:35.2636074Z [2022-11-23 01:22:23,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22 2022-11-23T01:30:35.2636481Z [2022-11-23 01:22:24,907] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r3/cr3jeuuutokasx4hmv7i7efbpnqpf4avkw4xx34l25twsd6ti6k6.py 2022-11-23T01:30:35.2636732Z [2022-11-23 01:22:24,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22 2022-11-23T01:30:35.2636738Z 2022-11-23T01:30:35.2636831Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2636899Z import torch 2022-11-23T01:30:35.2636968Z import random 2022-11-23T01:30:35.2637082Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2637202Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2637207Z 2022-11-23T01:30:35.2637285Z aten = torch.ops.aten 2022-11-23T01:30:35.2637417Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2637496Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2637501Z 2022-11-23T01:30:35.2637506Z 2022-11-23T01:30:35.2637674Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2637876Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2637993Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.2638097Z const float* __restrict__ in_ptr0) 2022-11-23T01:30:35.2638159Z { 2022-11-23T01:30:35.2638255Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2638303Z { 2022-11-23T01:30:35.2638382Z #pragma omp for 2022-11-23T01:30:35.2638463Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:30:35.2638527Z { 2022-11-23T01:30:35.2638661Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.2638794Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.2638878Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2639004Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.2639078Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.2639173Z tmp4.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.2639236Z } 2022-11-23T01:30:35.2639332Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2639418Z for(long i0=4096; i0<4096; i0+=1) 2022-11-23T01:30:35.2639479Z { 2022-11-23T01:30:35.2639563Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2639649Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.2639730Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.2639829Z auto tmp3 = static_cast(2); 2022-11-23T01:30:35.2639910Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.2640078Z in_out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.2640144Z } 2022-11-23T01:30:35.2640191Z } 2022-11-23T01:30:35.2640251Z } 2022-11-23T01:30:35.2640333Z ''') 2022-11-23T01:30:35.2640338Z 2022-11-23T01:30:35.2640342Z 2022-11-23T01:30:35.2640430Z async_compile.wait(globals()) 2022-11-23T01:30:35.2640504Z del async_compile 2022-11-23T01:30:35.2640509Z 2022-11-23T01:30:35.2640580Z def call(args): 2022-11-23T01:30:35.2640648Z arg0_1, = args 2022-11-23T01:30:35.2640777Z args.clear() 2022-11-23T01:30:35.2640967Z buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2641083Z buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0 # reuse 2022-11-23T01:30:35.2641213Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:30:35.2641319Z return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, ) 2022-11-23T01:30:35.2641324Z 2022-11-23T01:30:35.2641328Z 2022-11-23T01:30:35.2641404Z if __name__ == "__main__": 2022-11-23T01:30:35.2641516Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2641636Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2641833Z arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2641929Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2641934Z 2022-11-23T01:30:35.2641999Z ok (1.487s) 2022-11-23T01:30:35.2642361Z test_as_strided_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2642680Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2642896Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2643147Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2643421Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2643739Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2644119Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2644442Z [2022-11-23 01:22:24,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2644910Z [2022-11-23 01:22:24,917] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2645006Z 3615 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2645113Z 2 LOAD_ATTR 1 (as_strided_scatter) 2022-11-23T01:30:35.2645118Z 2022-11-23T01:30:35.2645210Z 3616 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2645298Z 6 LOAD_CONST 1 (8) 2022-11-23T01:30:35.2645381Z 8 BINARY_MULTIPLY 2022-11-23T01:30:35.2645471Z 10 LOAD_CONST 2 (10) 2022-11-23T01:30:35.2645544Z 12 BINARY_ADD 2022-11-23T01:30:35.2645551Z 2022-11-23T01:30:35.2645628Z 3617 14 LOAD_FAST 1 (b) 2022-11-23T01:30:35.2645715Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2645794Z 18 BINARY_MULTIPLY 2022-11-23T01:30:35.2645881Z 20 LOAD_CONST 4 (4) 2022-11-23T01:30:35.2645958Z 22 BINARY_SUBTRACT 2022-11-23T01:30:35.2645963Z 2022-11-23T01:30:35.2646047Z 3618 24 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2646142Z 26 LOAD_ATTR 2 (shape) 2022-11-23T01:30:35.2646228Z 28 LOAD_CONST 5 (0) 2022-11-23T01:30:35.2646292Z 30 BINARY_SUBSCR 2022-11-23T01:30:35.2646379Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2646469Z 34 LOAD_ATTR 2 (shape) 2022-11-23T01:30:35.2646557Z 36 LOAD_CONST 6 (1) 2022-11-23T01:30:35.2646632Z 38 BINARY_SUBSCR 2022-11-23T01:30:35.2646718Z 40 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2646801Z 42 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.2646877Z 44 BUILD_TUPLE 2 2022-11-23T01:30:35.2646881Z 2022-11-23T01:30:35.2646965Z 3619 46 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2647054Z 48 LOAD_ATTR 2 (shape) 2022-11-23T01:30:35.2647142Z 50 LOAD_CONST 6 (1) 2022-11-23T01:30:35.2647217Z 52 BINARY_SUBSCR 2022-11-23T01:30:35.2647301Z 54 LOAD_CONST 3 (2) 2022-11-23T01:30:35.2647388Z 56 BUILD_TUPLE 2 2022-11-23T01:30:35.2647393Z 2022-11-23T01:30:35.2647463Z 3620 58 LOAD_CONST 5 (0) 2022-11-23T01:30:35.2647480Z 2022-11-23T01:30:35.2647663Z 3615 60 LOAD_CONST 7 (('size', 'stride', 'storage_offset')) 2022-11-23T01:30:35.2647753Z 62 CALL_FUNCTION_KW 5 2022-11-23T01:30:35.2647888Z 64 RETURN_VALUE 2022-11-23T01:30:35.2647952Z 2022-11-23T01:30:35.2647957Z 2022-11-23T01:30:35.2648273Z [2022-11-23 01:22:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615 2022-11-23T01:30:35.2648489Z [2022-11-23 01:22:24,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2648815Z [2022-11-23 01:22:24,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable()] 2022-11-23T01:30:35.2649126Z [2022-11-23 01:22:24,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3616 2022-11-23T01:30:35.2649384Z [2022-11-23 01:22:24,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)] 2022-11-23T01:30:35.2649754Z [2022-11-23 01:22:24,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()] 2022-11-23T01:30:35.2650108Z [2022-11-23 01:22:24,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2650405Z [2022-11-23 01:22:24,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()] 2022-11-23T01:30:35.2650743Z [2022-11-23 01:22:24,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2651054Z [2022-11-23 01:22:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3617 2022-11-23T01:30:35.2651354Z [2022-11-23 01:22:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()] 2022-11-23T01:30:35.2651680Z [2022-11-23 01:22:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2652061Z [2022-11-23 01:22:24,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2652385Z [2022-11-23 01:22:24,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2652759Z [2022-11-23 01:22:24,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2653069Z [2022-11-23 01:22:24,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3618 2022-11-23T01:30:35.2653384Z [2022-11-23 01:22:24,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2653742Z [2022-11-23 01:22:24,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2654093Z [2022-11-23 01:22:24,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()] 2022-11-23T01:30:35.2654495Z [2022-11-23 01:22:24,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2654856Z [2022-11-23 01:22:24,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2655279Z [2022-11-23 01:22:24,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.2655669Z [2022-11-23 01:22:24,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()] 2022-11-23T01:30:35.2656110Z [2022-11-23 01:22:24,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2656511Z [2022-11-23 01:22:24,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2657007Z [2022-11-23 01:22:24,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2657412Z [2022-11-23 01:22:24,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2657724Z [2022-11-23 01:22:24,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3619 2022-11-23T01:30:35.2658074Z [2022-11-23 01:22:24,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:35.2658464Z [2022-11-23 01:22:24,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:30:35.2658840Z [2022-11-23 01:22:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()] 2022-11-23T01:30:35.2659264Z [2022-11-23 01:22:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2659639Z [2022-11-23 01:22:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2660069Z [2022-11-23 01:22:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2660385Z [2022-11-23 01:22:24,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3620 2022-11-23T01:30:35.2660760Z [2022-11-23 01:22:24,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()] 2022-11-23T01:30:35.2661066Z [2022-11-23 01:22:24,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615 2022-11-23T01:30:35.2661530Z [2022-11-23 01:22:24,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2662041Z [2022-11-23 01:22:24,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:35.2662290Z [2022-11-23 01:22:24,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2662665Z [2022-11-23 01:22:24,937] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2662909Z [2022-11-23 01:22:24,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2663142Z [2022-11-23 01:22:24,937] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2663394Z [2022-11-23 01:22:24,938] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2663663Z [2022-11-23 01:22:24,943] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2663853Z [2022-11-23 01:22:24,943] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2663986Z __compiled_fn_24 .158 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2664076Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2664160Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.2664332Z call_function, mul, , (ex_0_, 8), {} 2022-11-23T01:30:35.2664500Z call_function, add, , (mul, 10), {} 2022-11-23T01:30:35.2664668Z call_function, mul_1, , (ex_1_, 2), {} 2022-11-23T01:30:35.2664824Z call_function, sub, , (mul_1, 4), {} 2022-11-23T01:30:35.2665106Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0} 2022-11-23T01:30:35.2665224Z output, output, output, ((as_strided_scatter,),), {} 2022-11-23T01:30:35.2665230Z 2022-11-23T01:30:35.2665557Z [2022-11-23 01:22:24,943] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2665652Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2665742Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2665828Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2665922Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2665994Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2666083Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2666158Z 12 RETURN_VALUE 2022-11-23T01:30:35.2666163Z 2022-11-23T01:30:35.2666224Z 2022-11-23T01:30:35.2666546Z [2022-11-23 01:22:24,943] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2666653Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_24) 2022-11-23T01:30:35.2666743Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2666830Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2666894Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2666980Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2667068Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2667142Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.2667228Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.2667317Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2667391Z 18 RETURN_VALUE 2022-11-23T01:30:35.2667395Z 2022-11-23T01:30:35.2667443Z 2022-11-23T01:30:35.2667625Z [2022-11-23 01:22:24,944] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2667694Z - 2022-11-23T01:30:35.2667811Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2667877Z { 2022-11-23T01:30:35.2668037Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2668270Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.2668378Z 'obj_weakref': None 2022-11-23T01:30:35.2668601Z 'guarded_class': 2022-11-23T01:30:35.2668667Z } 2022-11-23T01:30:35.2668729Z 2022-11-23T01:30:35.2668798Z - 2022-11-23T01:30:35.2668918Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.2668981Z { 2022-11-23T01:30:35.2669107Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.2669274Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.2669487Z 'obj_weakref': 2022-11-23T01:30:35.2669739Z 'guarded_class': 2022-11-23T01:30:35.2669837Z } 2022-11-23T01:30:35.2669901Z 2022-11-23T01:30:35.2669970Z - 2022-11-23T01:30:35.2670081Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2670144Z { 2022-11-23T01:30:35.2670286Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2670392Z 'code': None, 2022-11-23T01:30:35.2670602Z 'obj_weakref': 2022-11-23T01:30:35.2688364Z 'guarded_class': 2022-11-23T01:30:35.2688588Z } 2022-11-23T01:30:35.2688643Z 2022-11-23T01:30:35.2688796Z - 2022-11-23T01:30:35.2688962Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.2689030Z { 2022-11-23T01:30:35.2689190Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2689309Z 'code': None, 2022-11-23T01:30:35.2689535Z 'obj_weakref': 2022-11-23T01:30:35.2689782Z 'guarded_class': 2022-11-23T01:30:35.2689852Z } 2022-11-23T01:30:35.2689917Z 2022-11-23T01:30:35.2689991Z - 2022-11-23T01:30:35.2690123Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2690190Z { 2022-11-23T01:30:35.2690325Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2690484Z 'code': ['___check_obj_id(model, 140534643902064)'], 2022-11-23T01:30:35.2690604Z 'obj_weakref': None 2022-11-23T01:30:35.2690838Z 'guarded_class': 2022-11-23T01:30:35.2690904Z } 2022-11-23T01:30:35.2690969Z 2022-11-23T01:30:35.2691040Z - 2022-11-23T01:30:35.2691167Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2691219Z { 2022-11-23T01:30:35.2691356Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2691579Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2691699Z 'obj_weakref': None 2022-11-23T01:30:35.2691922Z 'guarded_class': 2022-11-23T01:30:35.2691987Z } 2022-11-23T01:30:35.2692053Z 2022-11-23T01:30:35.2692112Z - 2022-11-23T01:30:35.2692244Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2692309Z { 2022-11-23T01:30:35.2692430Z 'guard_types': None, 2022-11-23T01:30:35.2692537Z 'code': None, 2022-11-23T01:30:35.2692655Z 'obj_weakref': None 2022-11-23T01:30:35.2692776Z 'guarded_class': None 2022-11-23T01:30:35.2692829Z } 2022-11-23T01:30:35.2692897Z 2022-11-23T01:30:35.2693179Z [2022-11-23 01:22:24,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23 2022-11-23T01:30:35.2693733Z [2022-11-23 01:22:26,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfepfmkjhckpxmmp7n7o7ygjhv5jpp5zsffi534fy5htvqgufjiu.py 2022-11-23T01:30:35.2694006Z [2022-11-23 01:22:26,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23 2022-11-23T01:30:35.2694014Z 2022-11-23T01:30:35.2694109Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2694181Z import torch 2022-11-23T01:30:35.2694252Z import random 2022-11-23T01:30:35.2694356Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2694480Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2694485Z 2022-11-23T01:30:35.2694565Z aten = torch.ops.aten 2022-11-23T01:30:35.2694701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2694888Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2694893Z 2022-11-23T01:30:35.2694897Z 2022-11-23T01:30:35.2695082Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2695294Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2695419Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2695512Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.2695612Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2695677Z { 2022-11-23T01:30:35.2695793Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2695855Z { 2022-11-23T01:30:35.2695934Z #pragma omp for 2022-11-23T01:30:35.2696021Z for(long i0=0; i0<1280; i0+=1) 2022-11-23T01:30:35.2696073Z { 2022-11-23T01:30:35.2696221Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.2696372Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:35.2696462Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.2696599Z auto tmp3 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:30:35.2696685Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.2696794Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.2696845Z } 2022-11-23T01:30:35.2696940Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.2697031Z for(long i0=10240; i0<10240; i0+=1) 2022-11-23T01:30:35.2697096Z { 2022-11-23T01:30:35.2697183Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.2697284Z auto tmp1 = static_cast(8); 2022-11-23T01:30:35.2697370Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.2697475Z auto tmp3 = static_cast(10); 2022-11-23T01:30:35.2697560Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.2697643Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.2697706Z } 2022-11-23T01:30:35.2697787Z #pragma omp for 2022-11-23T01:30:35.2697871Z for(long i0=0; i0<5120; i0+=1) 2022-11-23T01:30:35.2697934Z { 2022-11-23T01:30:35.2697986Z { 2022-11-23T01:30:35.2698055Z { 2022-11-23T01:30:35.2698166Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.2698270Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.2698362Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.2698465Z auto tmp3 = static_cast(4); 2022-11-23T01:30:35.2698604Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:35.2698678Z out_ptr0[2*i0] = tmp4; 2022-11-23T01:30:35.2698745Z } 2022-11-23T01:30:35.2698813Z } 2022-11-23T01:30:35.2698895Z } 2022-11-23T01:30:35.2698958Z } 2022-11-23T01:30:35.2699020Z } 2022-11-23T01:30:35.2699087Z ''') 2022-11-23T01:30:35.2699105Z 2022-11-23T01:30:35.2699109Z 2022-11-23T01:30:35.2699268Z async_compile.wait(globals()) 2022-11-23T01:30:35.2699342Z del async_compile 2022-11-23T01:30:35.2699348Z 2022-11-23T01:30:35.2699420Z def call(args): 2022-11-23T01:30:35.2699534Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.2699626Z args.clear() 2022-11-23T01:30:35.2699841Z buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2700011Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2700068Z del arg0_1 2022-11-23T01:30:35.2700136Z del arg1_1 2022-11-23T01:30:35.2700209Z return (buf0, ) 2022-11-23T01:30:35.2700214Z 2022-11-23T01:30:35.2700218Z 2022-11-23T01:30:35.2700315Z if __name__ == "__main__": 2022-11-23T01:30:35.2700434Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2700559Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2700770Z arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2701018Z arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2701123Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.2701131Z 2022-11-23T01:30:35.2701201Z ok (1.496s) 2022-11-23T01:30:35.2701516Z test_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2701854Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2702075Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2702351Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2702631Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2702973Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2703324Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2703664Z [2022-11-23 01:22:26,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2704044Z [2022-11-23 01:22:26,410] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2704143Z 2012 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2704247Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:30:35.2704344Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2704441Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2704530Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2704622Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2704710Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2704787Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2704876Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2704967Z 18 CALL_METHOD 3 2022-11-23T01:30:35.2705061Z 20 RETURN_VALUE 2022-11-23T01:30:35.2705124Z 2022-11-23T01:30:35.2705129Z 2022-11-23T01:30:35.2705464Z [2022-11-23 01:22:26,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2012 2022-11-23T01:30:35.2705683Z [2022-11-23 01:22:26,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2705998Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2706282Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2706590Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2706933Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2707316Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2707628Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2708010Z [2022-11-23 01:22:26,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2708418Z [2022-11-23 01:22:26,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2708774Z [2022-11-23 01:22:26,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2709023Z [2022-11-23 01:22:26,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2709423Z [2022-11-23 01:22:26,418] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2709694Z [2022-11-23 01:22:26,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2709937Z [2022-11-23 01:22:26,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2710192Z [2022-11-23 01:22:26,419] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2710458Z [2022-11-23 01:22:26,421] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2710648Z [2022-11-23 01:22:26,422] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2710785Z __compiled_fn_25 .164 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2710894Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2711026Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:30:35.2711133Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2711138Z 2022-11-23T01:30:35.2711485Z [2022-11-23 01:22:26,422] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2711587Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2711680Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2711769Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2711865Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2732620Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2732764Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2732844Z 12 RETURN_VALUE 2022-11-23T01:30:35.2732850Z 2022-11-23T01:30:35.2732902Z 2022-11-23T01:30:35.2733265Z [2022-11-23 01:22:26,422] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2733375Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_25) 2022-11-23T01:30:35.2733472Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2733562Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2733642Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2733815Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2733910Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2733974Z 12 RETURN_VALUE 2022-11-23T01:30:35.2733979Z 2022-11-23T01:30:35.2734042Z 2022-11-23T01:30:35.2734231Z [2022-11-23 01:22:26,423] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2734303Z - 2022-11-23T01:30:35.2734424Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2734490Z { 2022-11-23T01:30:35.2734634Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2734808Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2734929Z 'obj_weakref': None 2022-11-23T01:30:35.2735158Z 'guarded_class': 2022-11-23T01:30:35.2735264Z } 2022-11-23T01:30:35.2735330Z 2022-11-23T01:30:35.2735401Z - 2022-11-23T01:30:35.2735528Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2735580Z { 2022-11-23T01:30:35.2735756Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2735869Z 'code': None, 2022-11-23T01:30:35.2736146Z 'obj_weakref': 2022-11-23T01:30:35.2741620Z 'guarded_class': 2022-11-23T01:30:35.2741731Z } 2022-11-23T01:30:35.2741819Z 2022-11-23T01:30:35.2741904Z - 2022-11-23T01:30:35.2742104Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2742192Z { 2022-11-23T01:30:35.2742376Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2742610Z 'code': ['___check_obj_id(model, 140534626723312)'], 2022-11-23T01:30:35.2742784Z 'obj_weakref': None 2022-11-23T01:30:35.2743129Z 'guarded_class': 2022-11-23T01:30:35.2743201Z } 2022-11-23T01:30:35.2743289Z 2022-11-23T01:30:35.2743395Z - 2022-11-23T01:30:35.2743576Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2743668Z { 2022-11-23T01:30:35.2743876Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2744217Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2744378Z 'obj_weakref': None 2022-11-23T01:30:35.2744724Z 'guarded_class': 2022-11-23T01:30:35.2744809Z } 2022-11-23T01:30:35.2744899Z 2022-11-23T01:30:35.2744999Z - 2022-11-23T01:30:35.2745201Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2745292Z { 2022-11-23T01:30:35.2745463Z 'guard_types': None, 2022-11-23T01:30:35.2745633Z 'code': None, 2022-11-23T01:30:35.2745822Z 'obj_weakref': None 2022-11-23T01:30:35.2746013Z 'guarded_class': None 2022-11-23T01:30:35.2746110Z } 2022-11-23T01:30:35.2746207Z 2022-11-23T01:30:35.2746644Z [2022-11-23 01:22:26,427] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24 2022-11-23T01:30:35.2747253Z [2022-11-23 01:22:27,938] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3t/c3tfdlu2n7htvebmhpi76qnyel3mvgalq5yo3wxm6v3xdjd6cmqv.py 2022-11-23T01:30:35.2747710Z [2022-11-23 01:22:27,938] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24 2022-11-23T01:30:35.2747721Z 2022-11-23T01:30:35.2747883Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2748000Z import torch 2022-11-23T01:30:35.2748100Z import random 2022-11-23T01:30:35.2748276Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2748610Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2748619Z 2022-11-23T01:30:35.2748740Z aten = torch.ops.aten 2022-11-23T01:30:35.2748934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2749073Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2749082Z 2022-11-23T01:30:35.2749090Z 2022-11-23T01:30:35.2749304Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2749631Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2749816Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2749975Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2750068Z { 2022-11-23T01:30:35.2750209Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2750291Z { 2022-11-23T01:30:35.2750458Z #pragma omp for 2022-11-23T01:30:35.2750588Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.2750681Z { 2022-11-23T01:30:35.2750807Z #pragma GCC ivdep 2022-11-23T01:30:35.2750941Z for(long i1=0; i1<7; i1+=1) 2022-11-23T01:30:35.2751023Z { 2022-11-23T01:30:35.2751150Z #pragma GCC ivdep 2022-11-23T01:30:35.2751285Z for(long i2=0; i2<7; i2+=1) 2022-11-23T01:30:35.2751386Z { 2022-11-23T01:30:35.2751488Z { 2022-11-23T01:30:35.2751594Z { 2022-11-23T01:30:35.2751766Z auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2751935Z auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2752114Z auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2752298Z auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2752474Z auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2752654Z auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2752833Z auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2753004Z auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2753176Z auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:35.2753313Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:30:35.2753458Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:30:35.2753600Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:30:35.2753740Z auto tmp8 = tmp7 + tmp6; 2022-11-23T01:30:35.2753889Z auto tmp10 = tmp9 + tmp8; 2022-11-23T01:30:35.2754033Z auto tmp12 = tmp11 + tmp10; 2022-11-23T01:30:35.2754172Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:30:35.2754312Z auto tmp16 = tmp15 + tmp14; 2022-11-23T01:30:35.2754472Z auto tmp17 = static_cast(0.1111111111111111); 2022-11-23T01:30:35.2754618Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:30:35.2754775Z out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18; 2022-11-23T01:30:35.2754882Z } 2022-11-23T01:30:35.2754988Z } 2022-11-23T01:30:35.2755086Z } 2022-11-23T01:30:35.2755182Z } 2022-11-23T01:30:35.2755261Z } 2022-11-23T01:30:35.2755358Z } 2022-11-23T01:30:35.2755449Z } 2022-11-23T01:30:35.2755586Z ''') 2022-11-23T01:30:35.2755595Z 2022-11-23T01:30:35.2755603Z 2022-11-23T01:30:35.2755753Z async_compile.wait(globals()) 2022-11-23T01:30:35.2755866Z del async_compile 2022-11-23T01:30:35.2755878Z 2022-11-23T01:30:35.2755985Z def call(args): 2022-11-23T01:30:35.2756083Z arg0_1, = args 2022-11-23T01:30:35.2756192Z args.clear() 2022-11-23T01:30:35.2756613Z buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2756832Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2756931Z del arg0_1 2022-11-23T01:30:35.2757038Z return (buf0, ) 2022-11-23T01:30:35.2757045Z 2022-11-23T01:30:35.2757050Z 2022-11-23T01:30:35.2757166Z if __name__ == "__main__": 2022-11-23T01:30:35.2757349Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2757530Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2757890Z arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2758065Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2758075Z 2022-11-23T01:30:35.2758173Z ok (1.534s) 2022-11-23T01:30:35.2758746Z test_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2759286Z [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2759647Z [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2760166Z [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2760610Z [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2761160Z [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2761752Z [2022-11-23 01:22:27,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2762306Z [2022-11-23 01:22:27,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2762905Z [2022-11-23 01:22:27,975] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2763037Z 2021 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2763182Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:30:35.2763337Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2763473Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2763595Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2763706Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2763835Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2763961Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2764085Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2764206Z 18 CALL_METHOD 3 2022-11-23T01:30:35.2764309Z 20 RETURN_VALUE 2022-11-23T01:30:35.2764390Z 2022-11-23T01:30:35.2764398Z 2022-11-23T01:30:35.2765058Z [2022-11-23 01:22:27,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2021 2022-11-23T01:30:35.2765332Z [2022-11-23 01:22:27,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2765649Z [2022-11-23 01:22:27,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2765914Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2766209Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2766651Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2767020Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2787951Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2788367Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2788760Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2789168Z [2022-11-23 01:22:27,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2789406Z [2022-11-23 01:22:27,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2789782Z [2022-11-23 01:22:27,984] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2790026Z [2022-11-23 01:22:27,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2790250Z [2022-11-23 01:22:27,984] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2790505Z [2022-11-23 01:22:27,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2790751Z [2022-11-23 01:22:27,988] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2790935Z [2022-11-23 01:22:27,988] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2791063Z __compiled_fn_26 .170 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2791149Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2791264Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:30:35.2791364Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2791371Z 2022-11-23T01:30:35.2791689Z [2022-11-23 01:22:27,989] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2791779Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2791869Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2791953Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2792041Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2792120Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2792197Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2792268Z 12 RETURN_VALUE 2022-11-23T01:30:35.2792273Z 2022-11-23T01:30:35.2792330Z 2022-11-23T01:30:35.2792652Z [2022-11-23 01:22:27,989] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2792754Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_26) 2022-11-23T01:30:35.2792839Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2792923Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2792993Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2793069Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2793155Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2793224Z 12 RETURN_VALUE 2022-11-23T01:30:35.2793229Z 2022-11-23T01:30:35.2793286Z 2022-11-23T01:30:35.2793495Z [2022-11-23 01:22:27,989] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2793563Z - 2022-11-23T01:30:35.2793677Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2793729Z { 2022-11-23T01:30:35.2793866Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2794046Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2794161Z 'obj_weakref': None 2022-11-23T01:30:35.2794379Z 'guarded_class': 2022-11-23T01:30:35.2794439Z } 2022-11-23T01:30:35.2794498Z 2022-11-23T01:30:35.2794555Z - 2022-11-23T01:30:35.2794673Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2794769Z { 2022-11-23T01:30:35.2794907Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2795008Z 'code': None, 2022-11-23T01:30:35.2795218Z 'obj_weakref': 2022-11-23T01:30:35.2795467Z 'guarded_class': 2022-11-23T01:30:35.2795519Z } 2022-11-23T01:30:35.2795577Z 2022-11-23T01:30:35.2795641Z - 2022-11-23T01:30:35.2795770Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2795828Z { 2022-11-23T01:30:35.2795957Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2796121Z 'code': ['___check_obj_id(model, 140534659276448)'], 2022-11-23T01:30:35.2796226Z 'obj_weakref': None 2022-11-23T01:30:35.2796454Z 'guarded_class': 2022-11-23T01:30:35.2796515Z } 2022-11-23T01:30:35.2796575Z 2022-11-23T01:30:35.2796639Z - 2022-11-23T01:30:35.2796754Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2796817Z { 2022-11-23T01:30:35.2796942Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2797156Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2797270Z 'obj_weakref': None 2022-11-23T01:30:35.2797488Z 'guarded_class': 2022-11-23T01:30:35.2797546Z } 2022-11-23T01:30:35.2797605Z 2022-11-23T01:30:35.2797668Z - 2022-11-23T01:30:35.2797784Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2797842Z { 2022-11-23T01:30:35.2797960Z 'guard_types': None, 2022-11-23T01:30:35.2798062Z 'code': None, 2022-11-23T01:30:35.2798175Z 'obj_weakref': None 2022-11-23T01:30:35.2798294Z 'guarded_class': None 2022-11-23T01:30:35.2798344Z } 2022-11-23T01:30:35.2798402Z 2022-11-23T01:30:35.2798657Z [2022-11-23 01:22:27,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25 2022-11-23T01:30:35.2799017Z [2022-11-23 01:22:29,502] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/casx3wk3iu3u2f44uci2nu47lfusrip5rjku5jgfxbsakjze7bht.py 2022-11-23T01:30:35.2799272Z [2022-11-23 01:22:29,502] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25 2022-11-23T01:30:35.2799277Z 2022-11-23T01:30:35.2799366Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2799432Z import torch 2022-11-23T01:30:35.2799498Z import random 2022-11-23T01:30:35.2799601Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2799715Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2799720Z 2022-11-23T01:30:35.2799798Z aten = torch.ops.aten 2022-11-23T01:30:35.2799927Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2800106Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2800150Z 2022-11-23T01:30:35.2800156Z 2022-11-23T01:30:35.2800290Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2800495Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2800611Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2800706Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2800753Z { 2022-11-23T01:30:35.2800846Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2800904Z { 2022-11-23T01:30:35.2800977Z #pragma omp for 2022-11-23T01:30:35.2801055Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.2801111Z { 2022-11-23T01:30:35.2801179Z #pragma GCC ivdep 2022-11-23T01:30:35.2801260Z for(long i1=0; i1<27; i1+=1) 2022-11-23T01:30:35.2801351Z { 2022-11-23T01:30:35.2801429Z #pragma GCC ivdep 2022-11-23T01:30:35.2801514Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:30:35.2801577Z { 2022-11-23T01:30:35.2801638Z { 2022-11-23T01:30:35.2801693Z { 2022-11-23T01:30:35.2801799Z auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2801911Z auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802013Z auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802125Z auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802230Z auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802331Z auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802443Z auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802543Z auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802646Z auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:35.2802740Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:30:35.2802830Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:30:35.2802916Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:30:35.2803002Z auto tmp8 = tmp7 + tmp6; 2022-11-23T01:30:35.2803091Z auto tmp10 = tmp9 + tmp8; 2022-11-23T01:30:35.2803185Z auto tmp12 = tmp11 + tmp10; 2022-11-23T01:30:35.2803267Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:30:35.2803357Z auto tmp16 = tmp15 + tmp14; 2022-11-23T01:30:35.2803478Z auto tmp17 = static_cast(0.1111111111111111); 2022-11-23T01:30:35.2803569Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:30:35.2803670Z out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18; 2022-11-23T01:30:35.2803734Z } 2022-11-23T01:30:35.2803797Z } 2022-11-23T01:30:35.2803848Z } 2022-11-23T01:30:35.2803910Z } 2022-11-23T01:30:35.2803968Z } 2022-11-23T01:30:35.2804024Z } 2022-11-23T01:30:35.2804080Z } 2022-11-23T01:30:35.2804157Z ''') 2022-11-23T01:30:35.2804162Z 2022-11-23T01:30:35.2804166Z 2022-11-23T01:30:35.2804254Z async_compile.wait(globals()) 2022-11-23T01:30:35.2804312Z del async_compile 2022-11-23T01:30:35.2804316Z 2022-11-23T01:30:35.2804382Z def call(args): 2022-11-23T01:30:35.2804448Z arg0_1, = args 2022-11-23T01:30:35.2804517Z args.clear() 2022-11-23T01:30:35.2804891Z buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2805045Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2805111Z del arg0_1 2022-11-23T01:30:35.2805224Z return (buf0, ) 2022-11-23T01:30:35.2805229Z 2022-11-23T01:30:35.2805244Z 2022-11-23T01:30:35.2805308Z if __name__ == "__main__": 2022-11-23T01:30:35.2805419Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2805539Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2805768Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2805870Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2805875Z 2022-11-23T01:30:35.2805939Z ok (1.579s) 2022-11-23T01:30:35.2806248Z test_avg_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:29,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2806561Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2806818Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2807069Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2807346Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2807662Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2808002Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2808319Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2808697Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2808789Z 2030 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2808887Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:30:35.2808969Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2809055Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2809139Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2809223Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2809306Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2809391Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2809473Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2809559Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2809632Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2809717Z 22 BUILD_LIST 2 2022-11-23T01:30:35.2809801Z 24 CALL_METHOD 4 2022-11-23T01:30:35.2809870Z 26 RETURN_VALUE 2022-11-23T01:30:35.2809927Z 2022-11-23T01:30:35.2809932Z 2022-11-23T01:30:35.2810241Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2030 2022-11-23T01:30:35.2810454Z [2022-11-23 01:22:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2810769Z [2022-11-23 01:22:29,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2811015Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2811301Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2811653Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2812010Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2812313Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2812657Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2813040Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2813406Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2813770Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2814173Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2814542Z [2022-11-23 01:22:29,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2814790Z [2022-11-23 01:22:29,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2815172Z [2022-11-23 01:22:29,531] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2815419Z [2022-11-23 01:22:29,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2815653Z [2022-11-23 01:22:29,531] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2815904Z [2022-11-23 01:22:29,532] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2816150Z [2022-11-23 01:22:29,534] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2816326Z [2022-11-23 01:22:29,535] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2816460Z __compiled_fn_27 .176 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2816548Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2816682Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {} 2022-11-23T01:30:35.2816787Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2816795Z 2022-11-23T01:30:35.2817117Z [2022-11-23 01:22:29,535] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2817209Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2817301Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2817374Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2817465Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2817548Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2817635Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2817713Z 12 RETURN_VALUE 2022-11-23T01:30:35.2817719Z 2022-11-23T01:30:35.2817778Z 2022-11-23T01:30:35.2818148Z [2022-11-23 01:22:29,535] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2818257Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_27) 2022-11-23T01:30:35.2818334Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2818421Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2818497Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2818584Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2818672Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2818747Z 12 RETURN_VALUE 2022-11-23T01:30:35.2818752Z 2022-11-23T01:30:35.2818812Z 2022-11-23T01:30:35.2818981Z [2022-11-23 01:22:29,536] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2819052Z - 2022-11-23T01:30:35.2819200Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2819263Z { 2022-11-23T01:30:35.2819405Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2819591Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2819711Z 'obj_weakref': None 2022-11-23T01:30:35.2819924Z 'guarded_class': 2022-11-23T01:30:35.2819989Z } 2022-11-23T01:30:35.2820055Z 2022-11-23T01:30:35.2820124Z - 2022-11-23T01:30:35.2820248Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2820312Z { 2022-11-23T01:30:35.2820453Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2820547Z 'code': None, 2022-11-23T01:30:35.2820759Z 'obj_weakref': 2022-11-23T01:30:35.2821011Z 'guarded_class': 2022-11-23T01:30:35.2821078Z } 2022-11-23T01:30:35.2821141Z 2022-11-23T01:30:35.2821209Z - 2022-11-23T01:30:35.2821343Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2821394Z { 2022-11-23T01:30:35.2821526Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2821693Z 'code': ['___check_obj_id(model, 140534626723312)'], 2022-11-23T01:30:35.2821809Z 'obj_weakref': None 2022-11-23T01:30:35.2822035Z 'guarded_class': 2022-11-23T01:30:35.2822099Z } 2022-11-23T01:30:35.2822163Z 2022-11-23T01:30:35.2822218Z - 2022-11-23T01:30:35.2822340Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2822405Z { 2022-11-23T01:30:35.2822539Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2822755Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2822875Z 'obj_weakref': None 2022-11-23T01:30:35.2823099Z 'guarded_class': 2022-11-23T01:30:35.2823151Z } 2022-11-23T01:30:35.2823213Z 2022-11-23T01:30:35.2823281Z - 2022-11-23T01:30:35.2823410Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2823472Z { 2022-11-23T01:30:35.2823590Z 'guard_types': None, 2022-11-23T01:30:35.2823694Z 'code': None, 2022-11-23T01:30:35.2823799Z 'obj_weakref': None 2022-11-23T01:30:35.2823918Z 'guarded_class': None 2022-11-23T01:30:35.2823981Z } 2022-11-23T01:30:35.2824043Z 2022-11-23T01:30:35.2824300Z [2022-11-23 01:22:29,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26 2022-11-23T01:30:35.2824664Z [2022-11-23 01:22:31,037] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/72/c72i6chx6frqp7sbe3tkoqjirev6xsjes36gnirjur2s5paoxanu.py 2022-11-23T01:30:35.2824969Z [2022-11-23 01:22:31,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26 2022-11-23T01:30:35.2824976Z 2022-11-23T01:30:35.2825070Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2825127Z import torch 2022-11-23T01:30:35.2825197Z import random 2022-11-23T01:30:35.2825313Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2825432Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2825438Z 2022-11-23T01:30:35.2825515Z aten = torch.ops.aten 2022-11-23T01:30:35.2825650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2825742Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2825746Z 2022-11-23T01:30:35.2825750Z 2022-11-23T01:30:35.2825873Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2826108Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2826226Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2826329Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2826391Z { 2022-11-23T01:30:35.2826486Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2826549Z { 2022-11-23T01:30:35.2826613Z #pragma omp for 2022-11-23T01:30:35.2826693Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.2826756Z { 2022-11-23T01:30:35.2826836Z #pragma GCC ivdep 2022-11-23T01:30:35.2826917Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.2826980Z { 2022-11-23T01:30:35.2827044Z { 2022-11-23T01:30:35.2827097Z { 2022-11-23T01:30:35.2827271Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:30:35.2827376Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.2827472Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.2827570Z auto tmp3 = static_cast(8); 2022-11-23T01:30:35.2827665Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.2827757Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:35.2827914Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:30:35.2828007Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:30:35.2828095Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:30:35.2828185Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:30:35.2828276Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:30:35.2828360Z float tmp11 = 0.0; 2022-11-23T01:30:35.2828436Z if(tmp10) 2022-11-23T01:30:35.2828504Z { 2022-11-23T01:30:35.2828667Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2828751Z tmp11 = tmp12; 2022-11-23T01:30:35.2828819Z } 2022-11-23T01:30:35.2828929Z auto tmp13 = static_cast(2*i1); 2022-11-23T01:30:35.2829026Z auto tmp14 = tmp13 >= tmp1; 2022-11-23T01:30:35.2829118Z auto tmp15 = tmp13 < tmp3; 2022-11-23T01:30:35.2829209Z auto tmp16 = tmp14 & tmp15; 2022-11-23T01:30:35.2829287Z auto tmp17 = tmp5 & tmp16; 2022-11-23T01:30:35.2829370Z float tmp18 = 0.0; 2022-11-23T01:30:35.2829451Z if(tmp17) 2022-11-23T01:30:35.2829518Z { 2022-11-23T01:30:35.2829692Z auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2829773Z tmp18 = tmp19; 2022-11-23T01:30:35.2829842Z } 2022-11-23T01:30:35.2829923Z auto tmp20 = tmp18 + tmp11; 2022-11-23T01:30:35.2830034Z auto tmp21 = static_cast(1 + (2*i1)); 2022-11-23T01:30:35.2830126Z auto tmp22 = tmp21 >= tmp1; 2022-11-23T01:30:35.2830249Z auto tmp23 = tmp21 < tmp3; 2022-11-23T01:30:35.2830341Z auto tmp24 = tmp22 & tmp23; 2022-11-23T01:30:35.2830432Z auto tmp25 = tmp5 & tmp24; 2022-11-23T01:30:35.2830516Z float tmp26 = 0.0; 2022-11-23T01:30:35.2830578Z if(tmp25) 2022-11-23T01:30:35.2830647Z { 2022-11-23T01:30:35.2830820Z auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2830902Z tmp26 = tmp27; 2022-11-23T01:30:35.2830970Z } 2022-11-23T01:30:35.2831061Z auto tmp28 = tmp26 + tmp20; 2022-11-23T01:30:35.2831167Z auto tmp29 = static_cast(2*i0); 2022-11-23T01:30:35.2831276Z auto tmp30 = tmp29 >= tmp1; 2022-11-23T01:30:35.2831368Z auto tmp31 = tmp29 < tmp3; 2022-11-23T01:30:35.2831461Z auto tmp32 = tmp30 & tmp31; 2022-11-23T01:30:35.2831554Z auto tmp33 = tmp32 & tmp9; 2022-11-23T01:30:35.2831638Z float tmp34 = 0.0; 2022-11-23T01:30:35.2831713Z if(tmp33) 2022-11-23T01:30:35.2831781Z { 2022-11-23T01:30:35.2831953Z auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2832021Z tmp34 = tmp35; 2022-11-23T01:30:35.2832088Z } 2022-11-23T01:30:35.2832180Z auto tmp36 = tmp34 + tmp28; 2022-11-23T01:30:35.2832270Z auto tmp37 = tmp32 & tmp16; 2022-11-23T01:30:35.2832352Z float tmp38 = 0.0; 2022-11-23T01:30:35.2832426Z if(tmp37) 2022-11-23T01:30:35.2832497Z { 2022-11-23T01:30:35.2832590Z auto tmp39 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:30:35.2832672Z tmp38 = tmp39; 2022-11-23T01:30:35.2832739Z } 2022-11-23T01:30:35.2832829Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:30:35.2832919Z auto tmp41 = tmp32 & tmp24; 2022-11-23T01:30:35.2833001Z float tmp42 = 0.0; 2022-11-23T01:30:35.2833076Z if(tmp41) 2022-11-23T01:30:35.2833130Z { 2022-11-23T01:30:35.2833238Z auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2833320Z tmp42 = tmp43; 2022-11-23T01:30:35.2833387Z } 2022-11-23T01:30:35.2833479Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:30:35.2833587Z auto tmp45 = static_cast(1 + (2*i0)); 2022-11-23T01:30:35.2833680Z auto tmp46 = tmp45 >= tmp1; 2022-11-23T01:30:35.2833759Z auto tmp47 = tmp45 < tmp3; 2022-11-23T01:30:35.2833850Z auto tmp48 = tmp46 & tmp47; 2022-11-23T01:30:35.2833943Z auto tmp49 = tmp48 & tmp9; 2022-11-23T01:30:35.2834027Z float tmp50 = 0.0; 2022-11-23T01:30:35.2834101Z if(tmp49) 2022-11-23T01:30:35.2834169Z { 2022-11-23T01:30:35.2834273Z auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2834341Z tmp50 = tmp51; 2022-11-23T01:30:35.2834407Z } 2022-11-23T01:30:35.2834501Z auto tmp52 = tmp50 + tmp44; 2022-11-23T01:30:35.2834591Z auto tmp53 = tmp48 & tmp16; 2022-11-23T01:30:35.2834675Z float tmp54 = 0.0; 2022-11-23T01:30:35.2834750Z if(tmp53) 2022-11-23T01:30:35.2834817Z { 2022-11-23T01:30:35.2834910Z auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2835074Z tmp54 = tmp55; 2022-11-23T01:30:35.2835146Z } 2022-11-23T01:30:35.2835237Z auto tmp56 = tmp54 + tmp52; 2022-11-23T01:30:35.2835328Z auto tmp57 = tmp48 & tmp24; 2022-11-23T01:30:35.2835411Z float tmp58 = 0.0; 2022-11-23T01:30:35.2835484Z if(tmp57) 2022-11-23T01:30:35.2835539Z { 2022-11-23T01:30:35.2835643Z auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2835722Z tmp58 = tmp59; 2022-11-23T01:30:35.2835788Z } 2022-11-23T01:30:35.2835878Z auto tmp60 = tmp58 + tmp56; 2022-11-23T01:30:35.2835996Z auto tmp61 = static_cast(0.1111111111111111); 2022-11-23T01:30:35.2836117Z auto tmp62 = tmp60 * tmp61; 2022-11-23T01:30:35.2836213Z out_ptr0[i1 + (4*i0)] = tmp62; 2022-11-23T01:30:35.2836269Z } 2022-11-23T01:30:35.2836332Z } 2022-11-23T01:30:35.2836397Z } 2022-11-23T01:30:35.2836459Z } 2022-11-23T01:30:35.2836519Z } 2022-11-23T01:30:35.2836579Z } 2022-11-23T01:30:35.2836646Z ''') 2022-11-23T01:30:35.2836652Z 2022-11-23T01:30:35.2836668Z 2022-11-23T01:30:35.2836747Z async_compile.wait(globals()) 2022-11-23T01:30:35.2836818Z del async_compile 2022-11-23T01:30:35.2836824Z 2022-11-23T01:30:35.2836894Z def call(args): 2022-11-23T01:30:35.2836963Z arg0_1, = args 2022-11-23T01:30:35.2837033Z args.clear() 2022-11-23T01:30:35.2837245Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2837379Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2837436Z del arg0_1 2022-11-23T01:30:35.2837506Z return (buf0, ) 2022-11-23T01:30:35.2837511Z 2022-11-23T01:30:35.2837515Z 2022-11-23T01:30:35.2837591Z if __name__ == "__main__": 2022-11-23T01:30:35.2837705Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2837826Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2838036Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2838147Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2838152Z 2022-11-23T01:30:35.2838219Z ok (1.524s) 2022-11-23T01:30:35.2838521Z test_avg_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:31,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2838842Z [2022-11-23 01:22:31,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2839062Z [2022-11-23 01:22:31,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2839317Z [2022-11-23 01:22:31,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2839591Z [2022-11-23 01:22:31,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2839909Z [2022-11-23 01:22:31,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2840350Z [2022-11-23 01:22:31,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2840675Z [2022-11-23 01:22:31,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2841053Z [2022-11-23 01:22:31,049] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2841194Z 2039 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2841284Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:30:35.2841374Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2841464Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2841552Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2841638Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2841724Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2841809Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2841882Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2841966Z 18 LOAD_CONST 3 (0) 2022-11-23T01:30:35.2842051Z 20 LOAD_CONST 3 (0) 2022-11-23T01:30:35.2842168Z 22 BUILD_LIST 2 2022-11-23T01:30:35.2842258Z 24 LOAD_CONST 4 (True) 2022-11-23T01:30:35.2842347Z 26 CALL_METHOD 5 2022-11-23T01:30:35.2842422Z 28 RETURN_VALUE 2022-11-23T01:30:35.2842471Z 2022-11-23T01:30:35.2842476Z 2022-11-23T01:30:35.2842791Z [2022-11-23 01:22:31,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2039 2022-11-23T01:30:35.2843009Z [2022-11-23 01:22:31,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2843324Z [2022-11-23 01:22:31,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2843583Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2843870Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2844199Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2844558Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2845018Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2845368Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2845754Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2846079Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2846448Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2846858Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2847218Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2847682Z [2022-11-23 01:22:31,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.2847936Z [2022-11-23 01:22:31,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2848318Z [2022-11-23 01:22:31,058] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2848563Z [2022-11-23 01:22:31,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2848795Z [2022-11-23 01:22:31,058] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2849048Z [2022-11-23 01:22:31,059] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2849336Z [2022-11-23 01:22:31,061] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2849525Z [2022-11-23 01:22:31,061] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2849646Z __compiled_fn_28 .182 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2849736Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2849872Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {} 2022-11-23T01:30:35.2849978Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2849984Z 2022-11-23T01:30:35.2850307Z [2022-11-23 01:22:31,061] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2850400Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2850489Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2850576Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2850659Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2850744Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2850835Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2850909Z 12 RETURN_VALUE 2022-11-23T01:30:35.2850914Z 2022-11-23T01:30:35.2850973Z 2022-11-23T01:30:35.2851293Z [2022-11-23 01:22:31,061] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2851399Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_28) 2022-11-23T01:30:35.2851476Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2851565Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2851640Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2851726Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2851814Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2851889Z 12 RETURN_VALUE 2022-11-23T01:30:35.2851896Z 2022-11-23T01:30:35.2851956Z 2022-11-23T01:30:35.2852136Z [2022-11-23 01:22:31,062] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2852193Z - 2022-11-23T01:30:35.2852314Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2852380Z { 2022-11-23T01:30:35.2852517Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2852701Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2852820Z 'obj_weakref': None 2022-11-23T01:30:35.2853044Z 'guarded_class': 2022-11-23T01:30:35.2853097Z } 2022-11-23T01:30:35.2853159Z 2022-11-23T01:30:35.2853228Z - 2022-11-23T01:30:35.2853349Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2853410Z { 2022-11-23T01:30:35.2853550Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2853644Z 'code': None, 2022-11-23T01:30:35.2853857Z 'obj_weakref': 2022-11-23T01:30:35.2854144Z 'guarded_class': 2022-11-23T01:30:35.2854209Z } 2022-11-23T01:30:35.2854277Z 2022-11-23T01:30:35.2854348Z - 2022-11-23T01:30:35.2854476Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2854539Z { 2022-11-23T01:30:35.2854659Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2854828Z 'code': ['___check_obj_id(model, 140534658456528)'], 2022-11-23T01:30:35.2854947Z 'obj_weakref': None 2022-11-23T01:30:35.2855178Z 'guarded_class': 2022-11-23T01:30:35.2855241Z } 2022-11-23T01:30:35.2855303Z 2022-11-23T01:30:35.2855370Z - 2022-11-23T01:30:35.2855508Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2855574Z { 2022-11-23T01:30:35.2855709Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2855927Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2856045Z 'obj_weakref': None 2022-11-23T01:30:35.2856266Z 'guarded_class': 2022-11-23T01:30:35.2856330Z } 2022-11-23T01:30:35.2856380Z 2022-11-23T01:30:35.2856448Z - 2022-11-23T01:30:35.2856577Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2856640Z { 2022-11-23T01:30:35.2856756Z 'guard_types': None, 2022-11-23T01:30:35.2856861Z 'code': None, 2022-11-23T01:30:35.2856964Z 'obj_weakref': None 2022-11-23T01:30:35.2857084Z 'guarded_class': None 2022-11-23T01:30:35.2857147Z } 2022-11-23T01:30:35.2857211Z 2022-11-23T01:30:35.2857469Z [2022-11-23 01:22:31,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27 2022-11-23T01:30:35.2857839Z [2022-11-23 01:22:32,586] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ki/cki5s36qscydieki2es4ljtwrx5a7favox2byukyhdmeiflrlfvl.py 2022-11-23T01:30:35.2858098Z [2022-11-23 01:22:32,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27 2022-11-23T01:30:35.2858103Z 2022-11-23T01:30:35.2858196Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2858252Z import torch 2022-11-23T01:30:35.2858321Z import random 2022-11-23T01:30:35.2858436Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2858555Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2858560Z 2022-11-23T01:30:35.2858638Z aten = torch.ops.aten 2022-11-23T01:30:35.2858775Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2858867Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2858872Z 2022-11-23T01:30:35.2858876Z 2022-11-23T01:30:35.2859011Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2859206Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2859326Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2859424Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2859487Z { 2022-11-23T01:30:35.2859583Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2859643Z { 2022-11-23T01:30:35.2859718Z #pragma omp for 2022-11-23T01:30:35.2859787Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.2859850Z { 2022-11-23T01:30:35.2859930Z #pragma GCC ivdep 2022-11-23T01:30:35.2860015Z for(long i1=0; i1<55; i1+=1) 2022-11-23T01:30:35.2860078Z { 2022-11-23T01:30:35.2860158Z #pragma GCC ivdep 2022-11-23T01:30:35.2860250Z for(long i2=0; i2<55; i2+=1) 2022-11-23T01:30:35.2860302Z { 2022-11-23T01:30:35.2860368Z { 2022-11-23T01:30:35.2860435Z { 2022-11-23T01:30:35.2860599Z auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2860717Z auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2860827Z auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2860938Z auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2861040Z auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2861153Z auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2861265Z auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2861413Z auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2861526Z auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:35.2861625Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:30:35.2861718Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:30:35.2861809Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:30:35.2861888Z auto tmp8 = tmp7 + tmp6; 2022-11-23T01:30:35.2861981Z auto tmp10 = tmp9 + tmp8; 2022-11-23T01:30:35.2862078Z auto tmp12 = tmp11 + tmp10; 2022-11-23T01:30:35.2862179Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:30:35.2862273Z auto tmp16 = tmp15 + tmp14; 2022-11-23T01:30:35.2862390Z auto tmp17 = static_cast(0.1111111111111111); 2022-11-23T01:30:35.2862482Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:30:35.2862587Z out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18; 2022-11-23T01:30:35.2862642Z } 2022-11-23T01:30:35.2862712Z } 2022-11-23T01:30:35.2862777Z } 2022-11-23T01:30:35.2862840Z } 2022-11-23T01:30:35.2862903Z } 2022-11-23T01:30:35.2862963Z } 2022-11-23T01:30:35.2863010Z } 2022-11-23T01:30:35.2863087Z ''') 2022-11-23T01:30:35.2863092Z 2022-11-23T01:30:35.2863096Z 2022-11-23T01:30:35.2863186Z async_compile.wait(globals()) 2022-11-23T01:30:35.2863257Z del async_compile 2022-11-23T01:30:35.2863262Z 2022-11-23T01:30:35.2863333Z def call(args): 2022-11-23T01:30:35.2863401Z arg0_1, = args 2022-11-23T01:30:35.2863471Z args.clear() 2022-11-23T01:30:35.2863689Z buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2863810Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2863879Z del arg0_1 2022-11-23T01:30:35.2863949Z return (buf0, ) 2022-11-23T01:30:35.2863954Z 2022-11-23T01:30:35.2863958Z 2022-11-23T01:30:35.2864036Z if __name__ == "__main__": 2022-11-23T01:30:35.2864149Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2864270Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2864498Z arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2864606Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2864611Z 2022-11-23T01:30:35.2864665Z ok (1.546s) 2022-11-23T01:30:35.2865046Z test_avg_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:22:32,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2865392Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2865636Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2865927Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2866206Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2866528Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2866875Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2867199Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2867604Z [2022-11-23 01:22:32,593] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2867687Z 2048 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2867786Z 2 LOAD_ATTR 1 (avg_pool2d) 2022-11-23T01:30:35.2867877Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2867967Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2868056Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2868143Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2868229Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2868304Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2868392Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2868475Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2868561Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2868649Z 22 BUILD_LIST 2 2022-11-23T01:30:35.2868741Z 24 LOAD_CONST 4 (False) 2022-11-23T01:30:35.2868913Z 26 LOAD_CONST 5 (('count_include_pad',)) 2022-11-23T01:30:35.2869004Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:30:35.2869068Z 30 RETURN_VALUE 2022-11-23T01:30:35.2869128Z 2022-11-23T01:30:35.2869133Z 2022-11-23T01:30:35.2869448Z [2022-11-23 01:22:32,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2048 2022-11-23T01:30:35.2869664Z [2022-11-23 01:22:32,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2869978Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2870234Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2870528Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2870850Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2871209Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2871505Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2871854Z [2022-11-23 01:22:32,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2872278Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2872618Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2872987Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2873401Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2873765Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2874235Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.2874684Z [2022-11-23 01:22:32,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:35.2874929Z [2022-11-23 01:22:32,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2875308Z [2022-11-23 01:22:32,602] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2875552Z [2022-11-23 01:22:32,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2875787Z [2022-11-23 01:22:32,602] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2876033Z [2022-11-23 01:22:32,603] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2876280Z [2022-11-23 01:22:32,606] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2876468Z [2022-11-23 01:22:32,606] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2876600Z __compiled_fn_29 .188 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2876690Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2876924Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False} 2022-11-23T01:30:35.2877028Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2877033Z 2022-11-23T01:30:35.2877358Z [2022-11-23 01:22:32,606] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2877454Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2877531Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2877618Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2877709Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2877793Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2877882Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2877956Z 12 RETURN_VALUE 2022-11-23T01:30:35.2877961Z 2022-11-23T01:30:35.2878026Z 2022-11-23T01:30:35.2878338Z [2022-11-23 01:22:32,606] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2878492Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_29) 2022-11-23T01:30:35.2878615Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2878739Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2878841Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2879016Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2879111Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2879186Z 12 RETURN_VALUE 2022-11-23T01:30:35.2879191Z 2022-11-23T01:30:35.2879238Z 2022-11-23T01:30:35.2879431Z [2022-11-23 01:22:32,607] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2879501Z - 2022-11-23T01:30:35.2879619Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2879683Z { 2022-11-23T01:30:35.2879824Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2880076Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2880187Z 'obj_weakref': None 2022-11-23T01:30:35.2880414Z 'guarded_class': 2022-11-23T01:30:35.2880520Z } 2022-11-23T01:30:35.2880582Z 2022-11-23T01:30:35.2880650Z - 2022-11-23T01:30:35.2880778Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2880841Z { 2022-11-23T01:30:35.2880970Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2881081Z 'code': None, 2022-11-23T01:30:35.2881293Z 'obj_weakref': 2022-11-23T01:30:35.2881548Z 'guarded_class': 2022-11-23T01:30:35.2881610Z } 2022-11-23T01:30:35.2881673Z 2022-11-23T01:30:35.2881741Z - 2022-11-23T01:30:35.2881858Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2881921Z { 2022-11-23T01:30:35.2882055Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2882225Z 'code': ['___check_obj_id(model, 140534621353104)'], 2022-11-23T01:30:35.2882346Z 'obj_weakref': None 2022-11-23T01:30:35.2882578Z 'guarded_class': 2022-11-23T01:30:35.2882644Z } 2022-11-23T01:30:35.2882694Z 2022-11-23T01:30:35.2882762Z - 2022-11-23T01:30:35.2882882Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2882949Z { 2022-11-23T01:30:35.2883082Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2883300Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2883417Z 'obj_weakref': None 2022-11-23T01:30:35.2883624Z 'guarded_class': 2022-11-23T01:30:35.2883687Z } 2022-11-23T01:30:35.2883749Z 2022-11-23T01:30:35.2883816Z - 2022-11-23T01:30:35.2883950Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2884012Z { 2022-11-23T01:30:35.2884130Z 'guard_types': None, 2022-11-23T01:30:35.2884225Z 'code': None, 2022-11-23T01:30:35.2884342Z 'obj_weakref': None 2022-11-23T01:30:35.2884460Z 'guarded_class': None 2022-11-23T01:30:35.2884523Z } 2022-11-23T01:30:35.2884586Z 2022-11-23T01:30:35.2884998Z [2022-11-23 01:22:32,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28 2022-11-23T01:30:35.2885005Z 2022-11-23T01:30:35.2885100Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2885156Z import torch 2022-11-23T01:30:35.2885225Z import random 2022-11-23T01:30:35.2885340Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2885461Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2885466Z 2022-11-23T01:30:35.2885544Z aten = torch.ops.aten 2022-11-23T01:30:35.2885681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2885772Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2885777Z 2022-11-23T01:30:35.2885781Z 2022-11-23T01:30:35.2885983Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2886178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2886295Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2886395Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2886454Z { 2022-11-23T01:30:35.2886550Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2886611Z { 2022-11-23T01:30:35.2886687Z #pragma omp for 2022-11-23T01:30:35.2886755Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.2886816Z { 2022-11-23T01:30:35.2886896Z #pragma GCC ivdep 2022-11-23T01:30:35.2886978Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.2887041Z { 2022-11-23T01:30:35.2887146Z { 2022-11-23T01:30:35.2887201Z { 2022-11-23T01:30:35.2887374Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:30:35.2887479Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.2887572Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.2887673Z auto tmp3 = static_cast(8); 2022-11-23T01:30:35.2887765Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.2887856Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:35.2888024Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:30:35.2888104Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:30:35.2888195Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:30:35.2888285Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:30:35.2888375Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:30:35.2888462Z float tmp11 = 0.0; 2022-11-23T01:30:35.2888537Z if(tmp10) 2022-11-23T01:30:35.2888605Z { 2022-11-23T01:30:35.2888769Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2888853Z tmp11 = tmp12; 2022-11-23T01:30:35.2888920Z } 2022-11-23T01:30:35.2889027Z auto tmp13 = static_cast(2*i1); 2022-11-23T01:30:35.2889121Z auto tmp14 = tmp13 >= tmp1; 2022-11-23T01:30:35.2889213Z auto tmp15 = tmp13 < tmp3; 2022-11-23T01:30:35.2889304Z auto tmp16 = tmp14 & tmp15; 2022-11-23T01:30:35.2889383Z auto tmp17 = tmp5 & tmp16; 2022-11-23T01:30:35.2889467Z float tmp18 = 0.0; 2022-11-23T01:30:35.2889542Z if(tmp17) 2022-11-23T01:30:35.2889610Z { 2022-11-23T01:30:35.2889785Z auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2889865Z tmp18 = tmp19; 2022-11-23T01:30:35.2889932Z } 2022-11-23T01:30:35.2890015Z auto tmp20 = tmp18 + tmp11; 2022-11-23T01:30:35.2890124Z auto tmp21 = static_cast(1 + (2*i1)); 2022-11-23T01:30:35.2890215Z auto tmp22 = tmp21 >= tmp1; 2022-11-23T01:30:35.2890308Z auto tmp23 = tmp21 < tmp3; 2022-11-23T01:30:35.2890397Z auto tmp24 = tmp22 & tmp23; 2022-11-23T01:30:35.2890486Z auto tmp25 = tmp5 & tmp24; 2022-11-23T01:30:35.2890571Z float tmp26 = 0.0; 2022-11-23T01:30:35.2890645Z if(tmp25) 2022-11-23T01:30:35.2890719Z { 2022-11-23T01:30:35.2890934Z auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2891019Z tmp26 = tmp27; 2022-11-23T01:30:35.2891085Z } 2022-11-23T01:30:35.2891177Z auto tmp28 = tmp26 + tmp20; 2022-11-23T01:30:35.2891325Z auto tmp29 = static_cast(2*i0); 2022-11-23T01:30:35.2891419Z auto tmp30 = tmp29 >= tmp1; 2022-11-23T01:30:35.2891496Z auto tmp31 = tmp29 < tmp3; 2022-11-23T01:30:35.2891585Z auto tmp32 = tmp30 & tmp31; 2022-11-23T01:30:35.2891675Z auto tmp33 = tmp32 & tmp9; 2022-11-23T01:30:35.2891758Z float tmp34 = 0.0; 2022-11-23T01:30:35.2891831Z if(tmp33) 2022-11-23T01:30:35.2891898Z { 2022-11-23T01:30:35.2892069Z auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2892138Z tmp34 = tmp35; 2022-11-23T01:30:35.2892204Z } 2022-11-23T01:30:35.2892326Z auto tmp36 = tmp34 + tmp28; 2022-11-23T01:30:35.2892417Z auto tmp37 = tmp32 & tmp16; 2022-11-23T01:30:35.2892504Z float tmp38 = 0.0; 2022-11-23T01:30:35.2892579Z if(tmp37) 2022-11-23T01:30:35.2892644Z { 2022-11-23T01:30:35.2892739Z auto tmp39 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:30:35.2892819Z tmp38 = tmp39; 2022-11-23T01:30:35.2892885Z } 2022-11-23T01:30:35.2892975Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:30:35.2893064Z auto tmp41 = tmp32 & tmp24; 2022-11-23T01:30:35.2893147Z float tmp42 = 0.0; 2022-11-23T01:30:35.2893220Z if(tmp41) 2022-11-23T01:30:35.2893276Z { 2022-11-23T01:30:35.2893384Z auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2893469Z tmp42 = tmp43; 2022-11-23T01:30:35.2893535Z } 2022-11-23T01:30:35.2893628Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:30:35.2893737Z auto tmp45 = static_cast(1 + (2*i0)); 2022-11-23T01:30:35.2893827Z auto tmp46 = tmp45 >= tmp1; 2022-11-23T01:30:35.2893905Z auto tmp47 = tmp45 < tmp3; 2022-11-23T01:30:35.2893995Z auto tmp48 = tmp46 & tmp47; 2022-11-23T01:30:35.2894086Z auto tmp49 = tmp48 & tmp9; 2022-11-23T01:30:35.2894171Z float tmp50 = 0.0; 2022-11-23T01:30:35.2894245Z if(tmp49) 2022-11-23T01:30:35.2894315Z { 2022-11-23T01:30:35.2894419Z auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2894502Z tmp50 = tmp51; 2022-11-23T01:30:35.2894559Z } 2022-11-23T01:30:35.2894651Z auto tmp52 = tmp50 + tmp44; 2022-11-23T01:30:35.2894741Z auto tmp53 = tmp48 & tmp16; 2022-11-23T01:30:35.2894827Z float tmp54 = 0.0; 2022-11-23T01:30:35.2894903Z if(tmp53) 2022-11-23T01:30:35.2894969Z { 2022-11-23T01:30:35.2895074Z auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2895142Z tmp54 = tmp55; 2022-11-23T01:30:35.2895208Z } 2022-11-23T01:30:35.2895298Z auto tmp56 = tmp54 + tmp52; 2022-11-23T01:30:35.2895389Z auto tmp57 = tmp48 & tmp24; 2022-11-23T01:30:35.2895472Z float tmp58 = 0.0; 2022-11-23T01:30:35.2895546Z if(tmp57) 2022-11-23T01:30:35.2895612Z { 2022-11-23T01:30:35.2895705Z auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2895788Z tmp58 = tmp59; 2022-11-23T01:30:35.2895855Z } 2022-11-23T01:30:35.2895977Z auto tmp60 = tmp58 + tmp56; 2022-11-23T01:30:35.2896062Z float tmp61 = 0.0; 2022-11-23T01:30:35.2896136Z if(tmp10) 2022-11-23T01:30:35.2896203Z { 2022-11-23T01:30:35.2896298Z auto tmp62 = static_cast(1); 2022-11-23T01:30:35.2896379Z tmp61 = tmp62; 2022-11-23T01:30:35.2896446Z } 2022-11-23T01:30:35.2896530Z float tmp63 = 0.0; 2022-11-23T01:30:35.2896606Z if(tmp17) 2022-11-23T01:30:35.2896672Z { 2022-11-23T01:30:35.2896777Z auto tmp64 = static_cast(1); 2022-11-23T01:30:35.2896844Z tmp63 = tmp64; 2022-11-23T01:30:35.2896942Z } 2022-11-23T01:30:35.2897035Z auto tmp65 = tmp63 + tmp61; 2022-11-23T01:30:35.2897118Z float tmp66 = 0.0; 2022-11-23T01:30:35.2897194Z if(tmp25) 2022-11-23T01:30:35.2897261Z { 2022-11-23T01:30:35.2897366Z auto tmp67 = static_cast(1); 2022-11-23T01:30:35.2897433Z tmp66 = tmp67; 2022-11-23T01:30:35.2897500Z } 2022-11-23T01:30:35.2897594Z auto tmp68 = tmp66 + tmp65; 2022-11-23T01:30:35.2897676Z float tmp69 = 0.0; 2022-11-23T01:30:35.2897750Z if(tmp33) 2022-11-23T01:30:35.2897815Z { 2022-11-23T01:30:35.2897920Z auto tmp70 = static_cast(1); 2022-11-23T01:30:35.2897987Z tmp69 = tmp70; 2022-11-23T01:30:35.2898056Z } 2022-11-23T01:30:35.2898149Z auto tmp71 = tmp69 + tmp68; 2022-11-23T01:30:35.2898231Z float tmp72 = 0.0; 2022-11-23T01:30:35.2898307Z if(tmp37) 2022-11-23T01:30:35.2898374Z { 2022-11-23T01:30:35.2898479Z auto tmp73 = static_cast(1); 2022-11-23T01:30:35.2898547Z tmp72 = tmp73; 2022-11-23T01:30:35.2898614Z } 2022-11-23T01:30:35.2898706Z auto tmp74 = tmp72 + tmp71; 2022-11-23T01:30:35.2898789Z float tmp75 = 0.0; 2022-11-23T01:30:35.2898863Z if(tmp41) 2022-11-23T01:30:35.2898930Z { 2022-11-23T01:30:35.2899033Z auto tmp76 = static_cast(1); 2022-11-23T01:30:35.2899102Z tmp75 = tmp76; 2022-11-23T01:30:35.2899168Z } 2022-11-23T01:30:35.2899261Z auto tmp77 = tmp75 + tmp74; 2022-11-23T01:30:35.2899346Z float tmp78 = 0.0; 2022-11-23T01:30:35.2899420Z if(tmp49) 2022-11-23T01:30:35.2899490Z { 2022-11-23T01:30:35.2899594Z auto tmp79 = static_cast(1); 2022-11-23T01:30:35.2899661Z tmp78 = tmp79; 2022-11-23T01:30:35.2899728Z } 2022-11-23T01:30:35.2899819Z auto tmp80 = tmp78 + tmp77; 2022-11-23T01:30:35.2899901Z float tmp81 = 0.0; 2022-11-23T01:30:35.2899977Z if(tmp53) 2022-11-23T01:30:35.2900043Z { 2022-11-23T01:30:35.2900146Z auto tmp82 = static_cast(1); 2022-11-23T01:30:35.2900213Z tmp81 = tmp82; 2022-11-23T01:30:35.2900279Z } 2022-11-23T01:30:35.2900372Z auto tmp83 = tmp81 + tmp80; 2022-11-23T01:30:35.2900460Z float tmp84 = 0.0; 2022-11-23T01:30:35.2900535Z if(tmp57) 2022-11-23T01:30:35.2900600Z { 2022-11-23T01:30:35.2900752Z auto tmp85 = static_cast(1); 2022-11-23T01:30:35.2900821Z tmp84 = tmp85; 2022-11-23T01:30:35.2900888Z } 2022-11-23T01:30:35.2900980Z auto tmp86 = tmp84 + tmp83; 2022-11-23T01:30:35.2901070Z auto tmp87 = tmp60 / tmp86; 2022-11-23T01:30:35.2901164Z out_ptr0[i1 + (4*i0)] = tmp87; 2022-11-23T01:30:35.2901232Z } 2022-11-23T01:30:35.2901296Z } 2022-11-23T01:30:35.2901347Z } 2022-11-23T01:30:35.2901410Z } 2022-11-23T01:30:35.2901472Z } 2022-11-23T01:30:35.2901531Z } 2022-11-23T01:30:35.2901619Z ''') 2022-11-23T01:30:35.2901625Z 2022-11-23T01:30:35.2901629Z 2022-11-23T01:30:35.2901717Z async_compile.wait(globals()) 2022-11-23T01:30:35.2901829Z del async_compile 2022-11-23T01:30:35.2901834Z 2022-11-23T01:30:35.2901891Z def call(args): 2022-11-23T01:30:35.2901959Z arg0_1, = args 2022-11-23T01:30:35.2902031Z args.clear() 2022-11-23T01:30:35.2902247Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2902381Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2902469Z del arg0_1 2022-11-23T01:30:35.2902565Z return (buf0, ) 2022-11-23T01:30:35.2902572Z 2022-11-23T01:30:35.2902578Z 2022-11-23T01:30:35.2902685Z if __name__ == "__main__": 2022-11-23T01:30:35.2902836Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2902970Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2903188Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2903296Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2903674Z [2022-11-23 01:22:34,166] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpdc52kuexqto7hy7yrznam2bkauwd2dtypg3ubzgl3zvagazrp.py 2022-11-23T01:30:35.2903944Z [2022-11-23 01:22:34,166] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28 2022-11-23T01:30:35.2903949Z 2022-11-23T01:30:35.2904015Z ok (1.579s) 2022-11-23T01:30:35.2904322Z test_avg_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2904639Z [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2904844Z [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2905097Z [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2905375Z [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2905697Z [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2906043Z [2022-11-23 01:22:34,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2906364Z [2022-11-23 01:22:34,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2906736Z [2022-11-23 01:22:34,172] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2906833Z 2057 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2906934Z 2 LOAD_ATTR 1 (avg_pool2d) 2022-11-23T01:30:35.2907010Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2907143Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2907232Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2907320Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2907406Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2907491Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.2907574Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2907659Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2907730Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:35.2907814Z 22 BUILD_LIST 2 2022-11-23T01:30:35.2907898Z 24 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2908064Z 26 LOAD_CONST 4 (('divisor_override',)) 2022-11-23T01:30:35.2908185Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:30:35.2908260Z 30 RETURN_VALUE 2022-11-23T01:30:35.2908322Z 2022-11-23T01:30:35.2908326Z 2022-11-23T01:30:35.2908628Z [2022-11-23 01:22:34,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2057 2022-11-23T01:30:35.2908844Z [2022-11-23 01:22:34,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2909161Z [2022-11-23 01:22:34,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2909422Z [2022-11-23 01:22:34,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2909710Z [2022-11-23 01:22:34,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2910033Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2910398Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2910706Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2911051Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2911438Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2911772Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2912131Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2912537Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2912893Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2913320Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2913809Z [2022-11-23 01:22:34,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:35.2914060Z [2022-11-23 01:22:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2914437Z [2022-11-23 01:22:34,180] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2914683Z [2022-11-23 01:22:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2914916Z [2022-11-23 01:22:34,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2915168Z [2022-11-23 01:22:34,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2915448Z [2022-11-23 01:22:34,184] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2915638Z [2022-11-23 01:22:34,184] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2915758Z __compiled_fn_30 .194 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2915846Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2916081Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3} 2022-11-23T01:30:35.2916185Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2916191Z 2022-11-23T01:30:35.2916511Z [2022-11-23 01:22:34,184] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2916603Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2916693Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2916782Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2916860Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2916946Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2917034Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2917109Z 12 RETURN_VALUE 2022-11-23T01:30:35.2917114Z 2022-11-23T01:30:35.2917174Z 2022-11-23T01:30:35.2917501Z [2022-11-23 01:22:34,185] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2917608Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_30) 2022-11-23T01:30:35.2917697Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2917773Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2917848Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2917934Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2918024Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2918098Z 12 RETURN_VALUE 2022-11-23T01:30:35.2918103Z 2022-11-23T01:30:35.2918161Z 2022-11-23T01:30:35.2918344Z [2022-11-23 01:22:34,185] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2918402Z - 2022-11-23T01:30:35.2918518Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2918582Z { 2022-11-23T01:30:35.2918721Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2918906Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2919025Z 'obj_weakref': None 2022-11-23T01:30:35.2919249Z 'guarded_class': 2022-11-23T01:30:35.2919301Z } 2022-11-23T01:30:35.2919365Z 2022-11-23T01:30:35.2919433Z - 2022-11-23T01:30:35.2919555Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2919618Z { 2022-11-23T01:30:35.2919761Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2919867Z 'code': None, 2022-11-23T01:30:35.2920187Z 'obj_weakref': 2022-11-23T01:30:35.2920448Z 'guarded_class': 2022-11-23T01:30:35.2920511Z } 2022-11-23T01:30:35.2920629Z 2022-11-23T01:30:35.2920699Z - 2022-11-23T01:30:35.2920828Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2920890Z { 2022-11-23T01:30:35.2921009Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2921175Z 'code': ['___check_obj_id(model, 140534642200000)'], 2022-11-23T01:30:35.2921293Z 'obj_weakref': None 2022-11-23T01:30:35.2921521Z 'guarded_class': 2022-11-23T01:30:35.2921583Z } 2022-11-23T01:30:35.2921679Z 2022-11-23T01:30:35.2921749Z - 2022-11-23T01:30:35.2921857Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2921919Z { 2022-11-23T01:30:35.2922057Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2922276Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2922392Z 'obj_weakref': None 2022-11-23T01:30:35.2922613Z 'guarded_class': 2022-11-23T01:30:35.2922674Z } 2022-11-23T01:30:35.2922724Z 2022-11-23T01:30:35.2922792Z - 2022-11-23T01:30:35.2922922Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2922986Z { 2022-11-23T01:30:35.2923104Z 'guard_types': None, 2022-11-23T01:30:35.2923209Z 'code': None, 2022-11-23T01:30:35.2923324Z 'obj_weakref': None 2022-11-23T01:30:35.2923434Z 'guarded_class': None 2022-11-23T01:30:35.2923495Z } 2022-11-23T01:30:35.2923561Z 2022-11-23T01:30:35.2923820Z [2022-11-23 01:22:34,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29 2022-11-23T01:30:35.2924189Z [2022-11-23 01:22:35,672] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ap/captziygdb4oj6lsis2727qp3hoklwf4n7ew4boypilbjikzwrpc.py 2022-11-23T01:30:35.2924448Z [2022-11-23 01:22:35,672] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29 2022-11-23T01:30:35.2924454Z 2022-11-23T01:30:35.2924547Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2924615Z import torch 2022-11-23T01:30:35.2924671Z import random 2022-11-23T01:30:35.2924910Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2925034Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2925040Z 2022-11-23T01:30:35.2925118Z aten = torch.ops.aten 2022-11-23T01:30:35.2925253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2925343Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2925348Z 2022-11-23T01:30:35.2925355Z 2022-11-23T01:30:35.2925491Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2925696Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2925801Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2925899Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2925962Z { 2022-11-23T01:30:35.2926058Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2926119Z { 2022-11-23T01:30:35.2926195Z #pragma omp for 2022-11-23T01:30:35.2926263Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.2926325Z { 2022-11-23T01:30:35.2926404Z #pragma GCC ivdep 2022-11-23T01:30:35.2926485Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.2926551Z { 2022-11-23T01:30:35.2926615Z { 2022-11-23T01:30:35.2926682Z { 2022-11-23T01:30:35.2926906Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:30:35.2927010Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.2927103Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.2927202Z auto tmp3 = static_cast(8); 2022-11-23T01:30:35.2927296Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.2927387Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:35.2927557Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:30:35.2927649Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:30:35.2927727Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:30:35.2927815Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:30:35.2927909Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:30:35.2928067Z float tmp11 = 0.0; 2022-11-23T01:30:35.2928143Z if(tmp10) 2022-11-23T01:30:35.2928212Z { 2022-11-23T01:30:35.2928388Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2928461Z tmp11 = tmp12; 2022-11-23T01:30:35.2928529Z } 2022-11-23T01:30:35.2928637Z auto tmp13 = static_cast(2*i1); 2022-11-23T01:30:35.2928731Z auto tmp14 = tmp13 >= tmp1; 2022-11-23T01:30:35.2928823Z auto tmp15 = tmp13 < tmp3; 2022-11-23T01:30:35.2928914Z auto tmp16 = tmp14 & tmp15; 2022-11-23T01:30:35.2929007Z auto tmp17 = tmp5 & tmp16; 2022-11-23T01:30:35.2929077Z float tmp18 = 0.0; 2022-11-23T01:30:35.2929156Z if(tmp17) 2022-11-23T01:30:35.2929223Z { 2022-11-23T01:30:35.2929399Z auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2929482Z tmp18 = tmp19; 2022-11-23T01:30:35.2929551Z } 2022-11-23T01:30:35.2929644Z auto tmp20 = tmp18 + tmp11; 2022-11-23T01:30:35.2929741Z auto tmp21 = static_cast(1 + (2*i1)); 2022-11-23T01:30:35.2929833Z auto tmp22 = tmp21 >= tmp1; 2022-11-23T01:30:35.2929924Z auto tmp23 = tmp21 < tmp3; 2022-11-23T01:30:35.2930013Z auto tmp24 = tmp22 & tmp23; 2022-11-23T01:30:35.2930105Z auto tmp25 = tmp5 & tmp24; 2022-11-23T01:30:35.2930188Z float tmp26 = 0.0; 2022-11-23T01:30:35.2930262Z if(tmp25) 2022-11-23T01:30:35.2930318Z { 2022-11-23T01:30:35.2930491Z auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2930578Z tmp26 = tmp27; 2022-11-23T01:30:35.2930646Z } 2022-11-23T01:30:35.2930741Z auto tmp28 = tmp26 + tmp20; 2022-11-23T01:30:35.2930847Z auto tmp29 = static_cast(2*i0); 2022-11-23T01:30:35.2930939Z auto tmp30 = tmp29 >= tmp1; 2022-11-23T01:30:35.2931028Z auto tmp31 = tmp29 < tmp3; 2022-11-23T01:30:35.2931105Z auto tmp32 = tmp30 & tmp31; 2022-11-23T01:30:35.2931194Z auto tmp33 = tmp32 & tmp9; 2022-11-23T01:30:35.2931281Z float tmp34 = 0.0; 2022-11-23T01:30:35.2931354Z if(tmp33) 2022-11-23T01:30:35.2931421Z { 2022-11-23T01:30:35.2931590Z auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2931670Z tmp34 = tmp35; 2022-11-23T01:30:35.2931729Z } 2022-11-23T01:30:35.2931821Z auto tmp36 = tmp34 + tmp28; 2022-11-23T01:30:35.2931911Z auto tmp37 = tmp32 & tmp16; 2022-11-23T01:30:35.2932032Z float tmp38 = 0.0; 2022-11-23T01:30:35.2932108Z if(tmp37) 2022-11-23T01:30:35.2932174Z { 2022-11-23T01:30:35.2932278Z auto tmp39 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:30:35.2932348Z tmp38 = tmp39; 2022-11-23T01:30:35.2932416Z } 2022-11-23T01:30:35.2932505Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:30:35.2932594Z auto tmp41 = tmp32 & tmp24; 2022-11-23T01:30:35.2932678Z float tmp42 = 0.0; 2022-11-23T01:30:35.2932753Z if(tmp41) 2022-11-23T01:30:35.2932820Z { 2022-11-23T01:30:35.2932914Z auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2933028Z tmp42 = tmp43; 2022-11-23T01:30:35.2933099Z } 2022-11-23T01:30:35.2933194Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:30:35.2933302Z auto tmp45 = static_cast(1 + (2*i0)); 2022-11-23T01:30:35.2933393Z auto tmp46 = tmp45 >= tmp1; 2022-11-23T01:30:35.2933484Z auto tmp47 = tmp45 < tmp3; 2022-11-23T01:30:35.2933561Z auto tmp48 = tmp46 & tmp47; 2022-11-23T01:30:35.2933652Z auto tmp49 = tmp48 & tmp9; 2022-11-23T01:30:35.2933735Z float tmp50 = 0.0; 2022-11-23T01:30:35.2933810Z if(tmp49) 2022-11-23T01:30:35.2933876Z { 2022-11-23T01:30:35.2933980Z auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2934061Z tmp50 = tmp51; 2022-11-23T01:30:35.2934117Z } 2022-11-23T01:30:35.2934210Z auto tmp52 = tmp50 + tmp44; 2022-11-23T01:30:35.2934302Z auto tmp53 = tmp48 & tmp16; 2022-11-23T01:30:35.2934386Z float tmp54 = 0.0; 2022-11-23T01:30:35.2934462Z if(tmp53) 2022-11-23T01:30:35.2934529Z { 2022-11-23T01:30:35.2934634Z auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2934703Z tmp54 = tmp55; 2022-11-23T01:30:35.2934772Z } 2022-11-23T01:30:35.2934862Z auto tmp56 = tmp54 + tmp52; 2022-11-23T01:30:35.2934952Z auto tmp57 = tmp48 & tmp24; 2022-11-23T01:30:35.2935037Z float tmp58 = 0.0; 2022-11-23T01:30:35.2935111Z if(tmp57) 2022-11-23T01:30:35.2935178Z { 2022-11-23T01:30:35.2935270Z auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:30:35.2935354Z tmp58 = tmp59; 2022-11-23T01:30:35.2935420Z } 2022-11-23T01:30:35.2935512Z auto tmp60 = tmp58 + tmp56; 2022-11-23T01:30:35.2935629Z auto tmp61 = static_cast(0.3333333333333333); 2022-11-23T01:30:35.2935721Z auto tmp62 = tmp60 * tmp61; 2022-11-23T01:30:35.2935816Z out_ptr0[i1 + (4*i0)] = tmp62; 2022-11-23T01:30:35.2935883Z } 2022-11-23T01:30:35.2935935Z } 2022-11-23T01:30:35.2935999Z } 2022-11-23T01:30:35.2936062Z } 2022-11-23T01:30:35.2936122Z } 2022-11-23T01:30:35.2936182Z } 2022-11-23T01:30:35.2936261Z ''') 2022-11-23T01:30:35.2936267Z 2022-11-23T01:30:35.2936272Z 2022-11-23T01:30:35.2936361Z async_compile.wait(globals()) 2022-11-23T01:30:35.2936420Z del async_compile 2022-11-23T01:30:35.2936427Z 2022-11-23T01:30:35.2936498Z def call(args): 2022-11-23T01:30:35.2936567Z arg0_1, = args 2022-11-23T01:30:35.2936639Z args.clear() 2022-11-23T01:30:35.2936878Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2937013Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.2937080Z del arg0_1 2022-11-23T01:30:35.2937138Z return (buf0, ) 2022-11-23T01:30:35.2937143Z 2022-11-23T01:30:35.2937147Z 2022-11-23T01:30:35.2937223Z if __name__ == "__main__": 2022-11-23T01:30:35.2937335Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2937458Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2937669Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2937777Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2937781Z 2022-11-23T01:30:35.2937847Z ok (1.506s) 2022-11-23T01:30:35.2938187Z test_avg_pool2d7_cpu (__main__.CpuTests) ... [2022-11-23 01:22:35,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2938495Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2938712Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2938965Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2939241Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2939559Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2939907Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2940233Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2940607Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2940702Z 2067 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2940805Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:30:35.2940882Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.2940973Z 6 LOAD_CONST 1 (13) 2022-11-23T01:30:35.2941062Z 8 LOAD_CONST 1 (13) 2022-11-23T01:30:35.2941150Z 10 BUILD_LIST 2 2022-11-23T01:30:35.2941236Z 12 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2941326Z 14 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2941412Z 16 BUILD_LIST 2 2022-11-23T01:30:35.2941487Z 18 LOAD_CONST 3 (0) 2022-11-23T01:30:35.2941573Z 20 LOAD_CONST 3 (0) 2022-11-23T01:30:35.2941657Z 22 BUILD_LIST 2 2022-11-23T01:30:35.2941743Z 24 CALL_METHOD 4 2022-11-23T01:30:35.2941818Z 26 RETURN_VALUE 2022-11-23T01:30:35.2941878Z 2022-11-23T01:30:35.2941883Z 2022-11-23T01:30:35.2942200Z [2022-11-23 01:22:35,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2067 2022-11-23T01:30:35.2942417Z [2022-11-23 01:22:35,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2942719Z [2022-11-23 01:22:35,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:30:35.2943030Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:30:35.2943320Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:30:35.2943643Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2944002Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2944313Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2944657Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2945074Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2945408Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2945775Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2946189Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2946557Z [2022-11-23 01:22:35,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2946791Z [2022-11-23 01:22:35,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2947168Z [2022-11-23 01:22:35,687] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2947414Z [2022-11-23 01:22:35,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2947646Z [2022-11-23 01:22:35,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2947897Z [2022-11-23 01:22:35,688] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2948148Z [2022-11-23 01:22:35,690] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2948336Z [2022-11-23 01:22:35,690] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2948467Z __compiled_fn_31 .200 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2948556Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2948675Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {} 2022-11-23T01:30:35.2948782Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:30:35.2948787Z 2022-11-23T01:30:35.2949109Z [2022-11-23 01:22:35,690] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2949204Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2949295Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2949380Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2949473Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2949557Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2949634Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2949743Z 12 RETURN_VALUE 2022-11-23T01:30:35.2949748Z 2022-11-23T01:30:35.2949813Z 2022-11-23T01:30:35.2950137Z [2022-11-23 01:22:35,690] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2950244Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_31) 2022-11-23T01:30:35.2950333Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2950421Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2950497Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2950572Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.2950660Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2950734Z 12 RETURN_VALUE 2022-11-23T01:30:35.2950774Z 2022-11-23T01:30:35.2950836Z 2022-11-23T01:30:35.2951018Z [2022-11-23 01:22:35,691] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2951086Z - 2022-11-23T01:30:35.2951206Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2951258Z { 2022-11-23T01:30:35.2951398Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2951582Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.2951701Z 'obj_weakref': None 2022-11-23T01:30:35.2951926Z 'guarded_class': 2022-11-23T01:30:35.2951990Z } 2022-11-23T01:30:35.2952052Z 2022-11-23T01:30:35.2952108Z - 2022-11-23T01:30:35.2952231Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2952294Z { 2022-11-23T01:30:35.2952434Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2952540Z 'code': None, 2022-11-23T01:30:35.2952756Z 'obj_weakref': 2022-11-23T01:30:35.2953012Z 'guarded_class': 2022-11-23T01:30:35.2953064Z } 2022-11-23T01:30:35.2953125Z 2022-11-23T01:30:35.2953193Z - 2022-11-23T01:30:35.2953324Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2953386Z { 2022-11-23T01:30:35.2953518Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2953687Z 'code': ['___check_obj_id(model, 140534621346624)'], 2022-11-23T01:30:35.2953791Z 'obj_weakref': None 2022-11-23T01:30:35.2954021Z 'guarded_class': 2022-11-23T01:30:35.2954083Z } 2022-11-23T01:30:35.2954146Z 2022-11-23T01:30:35.2954215Z - 2022-11-23T01:30:35.2954337Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2954399Z { 2022-11-23T01:30:35.2954520Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2954740Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2954858Z 'obj_weakref': None 2022-11-23T01:30:35.2955078Z 'guarded_class': 2022-11-23T01:30:35.2955140Z } 2022-11-23T01:30:35.2955203Z 2022-11-23T01:30:35.2955271Z - 2022-11-23T01:30:35.2955389Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2955452Z { 2022-11-23T01:30:35.2955570Z 'guard_types': None, 2022-11-23T01:30:35.2955675Z 'code': None, 2022-11-23T01:30:35.2955790Z 'obj_weakref': None 2022-11-23T01:30:35.2955909Z 'guarded_class': None 2022-11-23T01:30:35.2955970Z } 2022-11-23T01:30:35.2956022Z 2022-11-23T01:30:35.2956280Z [2022-11-23 01:22:35,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30 2022-11-23T01:30:35.2956537Z [2022-11-23 01:22:35,698] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d 2022-11-23T01:30:35.2956904Z [2022-11-23 01:22:35,700] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coo2kvp2yli52xzhpsykr6iii2r6x3qgu2yq2ovdi2n3fzfirbs5.py 2022-11-23T01:30:35.2957164Z [2022-11-23 01:22:35,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30 2022-11-23T01:30:35.2957169Z 2022-11-23T01:30:35.2957262Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2957331Z import torch 2022-11-23T01:30:35.2957401Z import random 2022-11-23T01:30:35.2957503Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2957624Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2957629Z 2022-11-23T01:30:35.2957706Z aten = torch.ops.aten 2022-11-23T01:30:35.2957871Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2957963Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2957968Z 2022-11-23T01:30:35.2957975Z 2022-11-23T01:30:35.2958063Z async_compile.wait(globals()) 2022-11-23T01:30:35.2958135Z del async_compile 2022-11-23T01:30:35.2958139Z 2022-11-23T01:30:35.2958210Z def call(args): 2022-11-23T01:30:35.2958266Z arg0_1, = args 2022-11-23T01:30:35.2958337Z args.clear() 2022-11-23T01:30:35.2958463Z buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None) 2022-11-23T01:30:35.2958532Z del arg0_1 2022-11-23T01:30:35.2958599Z buf1 = buf0 2022-11-23T01:30:35.2958706Z assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1)) 2022-11-23T01:30:35.2958770Z del buf0 2022-11-23T01:30:35.2958829Z return (buf1, ) 2022-11-23T01:30:35.2958834Z 2022-11-23T01:30:35.2958838Z 2022-11-23T01:30:35.2958915Z if __name__ == "__main__": 2022-11-23T01:30:35.2959029Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.2959151Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.2959371Z arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.2959477Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.2959482Z 2022-11-23T01:30:35.2959548Z ok (0.028s) 2022-11-23T01:30:35.2959872Z test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:35,705] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.2960260Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.2960481Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.2960732Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.2961018Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.2961338Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2961685Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2962010Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.2962385Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.2962479Z 4058 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.2962591Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:30:35.2962596Z 2022-11-23T01:30:35.2962712Z 4059 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.2962731Z 2022-11-23T01:30:35.2962808Z 4060 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.2962812Z 2022-11-23T01:30:35.2962900Z 4061 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2962989Z 10 LOAD_CONST 1 (3) 2022-11-23T01:30:35.2963079Z 12 BUILD_LIST 2 2022-11-23T01:30:35.2963084Z 2022-11-23T01:30:35.2963169Z 4062 14 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2963254Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2963339Z 18 BUILD_LIST 2 2022-11-23T01:30:35.2963343Z 2022-11-23T01:30:35.2963428Z 4063 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2963500Z 22 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2963615Z 24 BUILD_LIST 2 2022-11-23T01:30:35.2963619Z 2022-11-23T01:30:35.2963709Z 4064 26 LOAD_CONST 3 (True) 2022-11-23T01:30:35.2963714Z 2022-11-23T01:30:35.2963810Z 4065 28 LOAD_CONST 4 (False) 2022-11-23T01:30:35.2963814Z 2022-11-23T01:30:35.2963903Z 4066 30 LOAD_CONST 0 (None) 2022-11-23T01:30:35.2963908Z 2022-11-23T01:30:35.2963994Z 4058 32 CALL_METHOD 8 2022-11-23T01:30:35.2964071Z 34 RETURN_VALUE 2022-11-23T01:30:35.2964132Z 2022-11-23T01:30:35.2964137Z 2022-11-23T01:30:35.2964441Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058 2022-11-23T01:30:35.2964658Z [2022-11-23 01:22:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.2965134Z [2022-11-23 01:22:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:30:35.2965459Z [2022-11-23 01:22:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4059 2022-11-23T01:30:35.2965730Z [2022-11-23 01:22:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:30:35.2966035Z [2022-11-23 01:22:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4060 2022-11-23T01:30:35.2966330Z [2022-11-23 01:22:35,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:30:35.2966638Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4061 2022-11-23T01:30:35.2966964Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.2967336Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2967742Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2968052Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4062 2022-11-23T01:30:35.2968391Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.2968776Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2969264Z [2022-11-23 01:22:35,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2969579Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4063 2022-11-23T01:30:35.2969954Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2970367Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.2970856Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.2971165Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4064 2022-11-23T01:30:35.2971571Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.2971879Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4065 2022-11-23T01:30:35.2972325Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.2972637Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4066 2022-11-23T01:30:35.2973142Z [2022-11-23 01:22:35,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:30:35.2973446Z [2022-11-23 01:22:35,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058 2022-11-23T01:30:35.2973978Z [2022-11-23 01:22:35,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:30:35.2974217Z [2022-11-23 01:22:35,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2974593Z [2022-11-23 01:22:35,718] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.2974837Z [2022-11-23 01:22:35,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.2975070Z [2022-11-23 01:22:35,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.2975323Z [2022-11-23 01:22:35,720] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.2975567Z [2022-11-23 01:22:35,724] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.2975756Z [2022-11-23 01:22:35,724] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.2975923Z __compiled_fn_32 .206 opcode, name, target, args, kwargs 2022-11-23T01:30:35.2976014Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.2976085Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.2976260Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {} 2022-11-23T01:30:35.2976375Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:30:35.2976381Z 2022-11-23T01:30:35.2976704Z [2022-11-23 01:22:35,725] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2976795Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.2976885Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2976970Z 4 BUILD_MAP 0 2022-11-23T01:30:35.2977099Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.2977170Z 8 DICT_MERGE 1 2022-11-23T01:30:35.2977259Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.2977335Z 12 RETURN_VALUE 2022-11-23T01:30:35.2977341Z 2022-11-23T01:30:35.2977400Z 2022-11-23T01:30:35.2977721Z [2022-11-23 01:22:35,725] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.2977827Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_32) 2022-11-23T01:30:35.2977916Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2978004Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.2978068Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.2978154Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.2978240Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.2978319Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.2978406Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.2978495Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.2978572Z 18 RETURN_VALUE 2022-11-23T01:30:35.2978577Z 2022-11-23T01:30:35.2978625Z 2022-11-23T01:30:35.2978804Z [2022-11-23 01:22:35,726] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.2978875Z - 2022-11-23T01:30:35.2978993Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.2979056Z { 2022-11-23T01:30:35.2979197Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.2979382Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.2979489Z 'obj_weakref': None 2022-11-23T01:30:35.2979714Z 'guarded_class': 2022-11-23T01:30:35.2979777Z } 2022-11-23T01:30:35.2979840Z 2022-11-23T01:30:35.2979911Z - 2022-11-23T01:30:35.2980033Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.2980096Z { 2022-11-23T01:30:35.2980225Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2980333Z 'code': None, 2022-11-23T01:30:35.2980543Z 'obj_weakref': 2022-11-23T01:30:35.2980792Z 'guarded_class': 2022-11-23T01:30:35.2980855Z } 2022-11-23T01:30:35.2980916Z 2022-11-23T01:30:35.2980984Z - 2022-11-23T01:30:35.2981093Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.2981154Z { 2022-11-23T01:30:35.2981293Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.2981398Z 'code': None, 2022-11-23T01:30:35.2981606Z 'obj_weakref': 2022-11-23T01:30:35.2981855Z 'guarded_class': 2022-11-23T01:30:35.2981917Z } 2022-11-23T01:30:35.2981967Z 2022-11-23T01:30:35.2982071Z - 2022-11-23T01:30:35.2982202Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.2982265Z { 2022-11-23T01:30:35.2982397Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.2982563Z 'code': ['___check_obj_id(model, 140534620787696)'], 2022-11-23T01:30:35.2982681Z 'obj_weakref': None 2022-11-23T01:30:35.2982897Z 'guarded_class': 2022-11-23T01:30:35.2982962Z } 2022-11-23T01:30:35.2983026Z 2022-11-23T01:30:35.2983094Z - 2022-11-23T01:30:35.2983213Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.2983275Z { 2022-11-23T01:30:35.2983409Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.2983644Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.2983762Z 'obj_weakref': None 2022-11-23T01:30:35.2983983Z 'guarded_class': 2022-11-23T01:30:35.2984045Z } 2022-11-23T01:30:35.2984107Z 2022-11-23T01:30:35.2984175Z - 2022-11-23T01:30:35.2984305Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.2984355Z { 2022-11-23T01:30:35.2984473Z 'guard_types': None, 2022-11-23T01:30:35.2984579Z 'code': None, 2022-11-23T01:30:35.2984695Z 'obj_weakref': None 2022-11-23T01:30:35.2984815Z 'guarded_class': None 2022-11-23T01:30:35.2984877Z } 2022-11-23T01:30:35.2984940Z 2022-11-23T01:30:35.2985186Z [2022-11-23 01:22:35,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31 2022-11-23T01:30:35.2985194Z 2022-11-23T01:30:35.2985288Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.2985357Z import torch 2022-11-23T01:30:35.2985425Z import random 2022-11-23T01:30:35.2985541Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.2985665Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.2985670Z 2022-11-23T01:30:35.2985747Z aten = torch.ops.aten 2022-11-23T01:30:35.2985880Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.2985959Z async_compile = AsyncCompile() 2022-11-23T01:30:35.2985964Z 2022-11-23T01:30:35.2985968Z 2022-11-23T01:30:35.2986100Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.2986307Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.2986424Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.2986525Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.2986589Z { 2022-11-23T01:30:35.2986685Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.2986733Z { 2022-11-23T01:30:35.2986809Z #pragma omp for 2022-11-23T01:30:35.2986892Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:30:35.2986955Z { 2022-11-23T01:30:35.2987033Z #pragma GCC ivdep 2022-11-23T01:30:35.2987118Z for(long i1=0; i1<15; i1+=1) 2022-11-23T01:30:35.2987182Z { 2022-11-23T01:30:35.2987235Z { 2022-11-23T01:30:35.2987303Z { 2022-11-23T01:30:35.2987523Z auto tmp0 = static_cast((-1) + i0); 2022-11-23T01:30:35.2987698Z auto tmp1 = static_cast((-1) + i1); 2022-11-23T01:30:35.2987804Z auto tmp2 = static_cast(2 + i0); 2022-11-23T01:30:35.2987909Z auto tmp3 = static_cast(2 + i1); 2022-11-23T01:30:35.2988011Z auto tmp4 = static_cast(0); 2022-11-23T01:30:35.2988126Z auto tmp5 = std::max(tmp0, tmp4); 2022-11-23T01:30:35.2988229Z auto tmp6 = std::max(tmp1, tmp4); 2022-11-23T01:30:35.2988386Z auto tmp7 = static_cast(20); 2022-11-23T01:30:35.2988492Z auto tmp8 = std::min(tmp2, tmp7); 2022-11-23T01:30:35.2988591Z auto tmp9 = static_cast(15); 2022-11-23T01:30:35.2988696Z auto tmp10 = std::min(tmp3, tmp9); 2022-11-23T01:30:35.2988788Z auto tmp11 = tmp5 + tmp4; 2022-11-23T01:30:35.2988882Z auto tmp12 = tmp6 + tmp4; 2022-11-23T01:30:35.2988968Z auto tmp13 = static_cast(1); 2022-11-23T01:30:35.2989066Z auto tmp14 = static_cast(3); 2022-11-23T01:30:35.2989159Z auto tmp15 = tmp11 * tmp13; 2022-11-23T01:30:35.2989300Z auto tmp16 = tmp15 - tmp13; 2022-11-23T01:30:35.2989423Z auto tmp17 = tmp12 * tmp13; 2022-11-23T01:30:35.2989564Z auto tmp18 = tmp17 - tmp13; 2022-11-23T01:30:35.2989657Z auto tmp19 = tmp16 + tmp14; 2022-11-23T01:30:35.2989737Z auto tmp20 = tmp7 + tmp13; 2022-11-23T01:30:35.2989845Z auto tmp21 = std::min(tmp19, tmp20); 2022-11-23T01:30:35.2989937Z auto tmp22 = tmp18 + tmp14; 2022-11-23T01:30:35.2990029Z auto tmp23 = tmp9 + tmp13; 2022-11-23T01:30:35.2990134Z auto tmp24 = std::min(tmp22, tmp23); 2022-11-23T01:30:35.2990240Z auto tmp25 = std::max(tmp16, tmp4); 2022-11-23T01:30:35.2990346Z auto tmp26 = std::max(tmp18, tmp4); 2022-11-23T01:30:35.2990449Z auto tmp27 = std::min(tmp21, tmp7); 2022-11-23T01:30:35.2990538Z auto tmp28 = std::min(tmp24, tmp9); 2022-11-23T01:30:35.2990678Z auto tmp29 = tmp27 - tmp25; 2022-11-23T01:30:35.2990821Z auto tmp30 = tmp28 - tmp26; 2022-11-23T01:30:35.2990911Z auto tmp31 = tmp29 * tmp30; 2022-11-23T01:30:35.2991052Z auto tmp32 = tmp8 - tmp13; 2022-11-23T01:30:35.2991159Z auto tmp33 = std::min(tmp11, tmp32); 2022-11-23T01:30:35.2991298Z auto tmp34 = tmp10 - tmp13; 2022-11-23T01:30:35.2991402Z auto tmp35 = std::min(tmp12, tmp34); 2022-11-23T01:30:35.2991497Z auto tmp36 = in_ptr0[tmp35 + (15*tmp33)]; 2022-11-23T01:30:35.2991588Z auto tmp37 = tmp36 / tmp31; 2022-11-23T01:30:35.2991680Z auto tmp38 = tmp11 < tmp8; 2022-11-23T01:30:35.2991770Z auto tmp39 = tmp12 < tmp10; 2022-11-23T01:30:35.2991858Z auto tmp40 = tmp38 & tmp39; 2022-11-23T01:30:35.2991964Z auto tmp41 = static_cast(0.0); 2022-11-23T01:30:35.2992068Z auto tmp42 = tmp40 ? tmp37 : tmp41; 2022-11-23T01:30:35.2992147Z auto tmp43 = tmp6 + tmp13; 2022-11-23T01:30:35.2992240Z auto tmp44 = tmp43 * tmp13; 2022-11-23T01:30:35.2992380Z auto tmp45 = tmp44 - tmp13; 2022-11-23T01:30:35.2992469Z auto tmp46 = tmp45 + tmp14; 2022-11-23T01:30:35.2992574Z auto tmp47 = std::min(tmp46, tmp23); 2022-11-23T01:30:35.2992679Z auto tmp48 = std::max(tmp45, tmp4); 2022-11-23T01:30:35.2992785Z auto tmp49 = std::min(tmp47, tmp9); 2022-11-23T01:30:35.2992924Z auto tmp50 = tmp49 - tmp48; 2022-11-23T01:30:35.2993000Z auto tmp51 = tmp29 * tmp50; 2022-11-23T01:30:35.2993105Z auto tmp52 = std::min(tmp43, tmp34); 2022-11-23T01:30:35.2993209Z auto tmp53 = in_ptr0[tmp52 + (15*tmp33)]; 2022-11-23T01:30:35.2993304Z auto tmp54 = tmp53 / tmp51; 2022-11-23T01:30:35.2993393Z auto tmp55 = tmp43 < tmp10; 2022-11-23T01:30:35.2993518Z auto tmp56 = tmp38 & tmp55; 2022-11-23T01:30:35.2993610Z auto tmp57 = tmp42 + tmp54; 2022-11-23T01:30:35.2993699Z auto tmp58 = tmp56 ? tmp57 : tmp42; 2022-11-23T01:30:35.2993800Z auto tmp59 = static_cast(2); 2022-11-23T01:30:35.2993890Z auto tmp60 = tmp6 + tmp59; 2022-11-23T01:30:35.2993981Z auto tmp61 = tmp60 * tmp13; 2022-11-23T01:30:35.2994119Z auto tmp62 = tmp61 - tmp13; 2022-11-23T01:30:35.2994209Z auto tmp63 = tmp62 + tmp14; 2022-11-23T01:30:35.2994315Z auto tmp64 = std::min(tmp63, tmp23); 2022-11-23T01:30:35.2994418Z auto tmp65 = std::max(tmp62, tmp4); 2022-11-23T01:30:35.2994543Z auto tmp66 = std::min(tmp64, tmp9); 2022-11-23T01:30:35.2994682Z auto tmp67 = tmp66 - tmp65; 2022-11-23T01:30:35.2994773Z auto tmp68 = tmp29 * tmp67; 2022-11-23T01:30:35.2994878Z auto tmp69 = std::min(tmp60, tmp34); 2022-11-23T01:30:35.2994983Z auto tmp70 = in_ptr0[tmp69 + (15*tmp33)]; 2022-11-23T01:30:35.2995074Z auto tmp71 = tmp70 / tmp68; 2022-11-23T01:30:35.2995162Z auto tmp72 = tmp60 < tmp10; 2022-11-23T01:30:35.2995238Z auto tmp73 = tmp38 & tmp72; 2022-11-23T01:30:35.2995326Z auto tmp74 = tmp58 + tmp71; 2022-11-23T01:30:35.2995425Z auto tmp75 = tmp73 ? tmp74 : tmp58; 2022-11-23T01:30:35.2995515Z auto tmp76 = tmp5 + tmp13; 2022-11-23T01:30:35.2995605Z auto tmp77 = tmp76 * tmp13; 2022-11-23T01:30:35.2995745Z auto tmp78 = tmp77 - tmp13; 2022-11-23T01:30:35.2995834Z auto tmp79 = tmp78 + tmp14; 2022-11-23T01:30:35.2995942Z auto tmp80 = std::min(tmp79, tmp20); 2022-11-23T01:30:35.2996034Z auto tmp81 = std::max(tmp78, tmp4); 2022-11-23T01:30:35.2996136Z auto tmp82 = std::min(tmp80, tmp7); 2022-11-23T01:30:35.2996274Z auto tmp83 = tmp82 - tmp81; 2022-11-23T01:30:35.2996362Z auto tmp84 = tmp83 * tmp30; 2022-11-23T01:30:35.2996465Z auto tmp85 = std::min(tmp76, tmp32); 2022-11-23T01:30:35.2996569Z auto tmp86 = in_ptr0[tmp35 + (15*tmp85)]; 2022-11-23T01:30:35.2996661Z auto tmp87 = tmp86 / tmp84; 2022-11-23T01:30:35.2996752Z auto tmp88 = tmp76 < tmp8; 2022-11-23T01:30:35.2996829Z auto tmp89 = tmp88 & tmp39; 2022-11-23T01:30:35.2996919Z auto tmp90 = tmp75 + tmp87; 2022-11-23T01:30:35.2997020Z auto tmp91 = tmp89 ? tmp90 : tmp75; 2022-11-23T01:30:35.2997111Z auto tmp92 = tmp83 * tmp50; 2022-11-23T01:30:35.2997215Z auto tmp93 = in_ptr0[tmp52 + (15*tmp85)]; 2022-11-23T01:30:35.2997305Z auto tmp94 = tmp93 / tmp92; 2022-11-23T01:30:35.2997393Z auto tmp95 = tmp88 & tmp55; 2022-11-23T01:30:35.2997470Z auto tmp96 = tmp91 + tmp94; 2022-11-23T01:30:35.2997568Z auto tmp97 = tmp95 ? tmp96 : tmp91; 2022-11-23T01:30:35.2997658Z auto tmp98 = tmp83 * tmp67; 2022-11-23T01:30:35.2997759Z auto tmp99 = in_ptr0[tmp69 + (15*tmp85)]; 2022-11-23T01:30:35.2997856Z auto tmp100 = tmp99 / tmp98; 2022-11-23T01:30:35.2997949Z auto tmp101 = tmp88 & tmp72; 2022-11-23T01:30:35.2998047Z auto tmp102 = tmp97 + tmp100; 2022-11-23T01:30:35.2998138Z auto tmp103 = tmp101 ? tmp102 : tmp97; 2022-11-23T01:30:35.2998263Z auto tmp104 = tmp5 + tmp59; 2022-11-23T01:30:35.2998359Z auto tmp105 = tmp104 * tmp13; 2022-11-23T01:30:35.2998505Z auto tmp106 = tmp105 - tmp13; 2022-11-23T01:30:35.2998598Z auto tmp107 = tmp106 + tmp14; 2022-11-23T01:30:35.2998706Z auto tmp108 = std::min(tmp107, tmp20); 2022-11-23T01:30:35.2998814Z auto tmp109 = std::max(tmp106, tmp4); 2022-11-23T01:30:35.2998921Z auto tmp110 = std::min(tmp108, tmp7); 2022-11-23T01:30:35.2999057Z auto tmp111 = tmp110 - tmp109; 2022-11-23T01:30:35.2999150Z auto tmp112 = tmp111 * tmp30; 2022-11-23T01:30:35.2999257Z auto tmp113 = std::min(tmp104, tmp32); 2022-11-23T01:30:35.2999409Z auto tmp114 = in_ptr0[tmp35 + (15*tmp113)]; 2022-11-23T01:30:35.2999505Z auto tmp115 = tmp114 / tmp112; 2022-11-23T01:30:35.2999606Z auto tmp116 = tmp104 < tmp8; 2022-11-23T01:30:35.2999701Z auto tmp117 = tmp116 & tmp39; 2022-11-23T01:30:35.2999795Z auto tmp118 = tmp103 + tmp115; 2022-11-23T01:30:35.2999886Z auto tmp119 = tmp117 ? tmp118 : tmp103; 2022-11-23T01:30:35.3000058Z auto tmp120 = tmp111 * tmp50; 2022-11-23T01:30:35.3000168Z auto tmp121 = in_ptr0[tmp52 + (15*tmp113)]; 2022-11-23T01:30:35.3000262Z auto tmp122 = tmp121 / tmp120; 2022-11-23T01:30:35.3000353Z auto tmp123 = tmp116 & tmp55; 2022-11-23T01:30:35.3000444Z auto tmp124 = tmp119 + tmp122; 2022-11-23T01:30:35.3000548Z auto tmp125 = tmp123 ? tmp124 : tmp119; 2022-11-23T01:30:35.3000629Z auto tmp126 = tmp111 * tmp67; 2022-11-23T01:30:35.3000737Z auto tmp127 = in_ptr0[tmp69 + (15*tmp113)]; 2022-11-23T01:30:35.3000832Z auto tmp128 = tmp127 / tmp126; 2022-11-23T01:30:35.3000923Z auto tmp129 = tmp116 & tmp72; 2022-11-23T01:30:35.3001015Z auto tmp130 = tmp125 + tmp128; 2022-11-23T01:30:35.3001116Z auto tmp131 = tmp129 ? tmp130 : tmp125; 2022-11-23T01:30:35.3001216Z out_ptr0[i1 + (15*i0)] = tmp131; 2022-11-23T01:30:35.3001307Z } 2022-11-23T01:30:35.3001383Z } 2022-11-23T01:30:35.3001464Z } 2022-11-23T01:30:35.3001555Z } 2022-11-23T01:30:35.3001632Z } 2022-11-23T01:30:35.3001692Z } 2022-11-23T01:30:35.3001775Z ''') 2022-11-23T01:30:35.3001782Z 2022-11-23T01:30:35.3001786Z 2022-11-23T01:30:35.3001877Z async_compile.wait(globals()) 2022-11-23T01:30:35.3001940Z del async_compile 2022-11-23T01:30:35.3001945Z 2022-11-23T01:30:35.3002014Z def call(args): 2022-11-23T01:30:35.3002088Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3002163Z args.clear() 2022-11-23T01:30:35.3002381Z buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3002514Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.3002581Z del arg0_1 2022-11-23T01:30:35.3002638Z return (buf0, ) 2022-11-23T01:30:35.3002643Z 2022-11-23T01:30:35.3002648Z 2022-11-23T01:30:35.3002723Z if __name__ == "__main__": 2022-11-23T01:30:35.3002835Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3002961Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3003178Z arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3003392Z arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3003507Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3003922Z [2022-11-23 01:22:37,368] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4f/c4fwpc63jbeuughqsjqwyz4s4urlgj3yq52lybntq5bks4oqerw2.py 2022-11-23T01:30:35.3004176Z [2022-11-23 01:22:37,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31 2022-11-23T01:30:35.3004194Z 2022-11-23T01:30:35.3004249Z ok (1.668s) 2022-11-23T01:30:35.3004573Z test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3005016Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3005237Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3005547Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3005824Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3006144Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3006487Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3006811Z [2022-11-23 01:22:37,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3007186Z [2022-11-23 01:22:37,386] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3007270Z 4079 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3007380Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:30:35.3007385Z 2022-11-23T01:30:35.3007475Z 4080 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3007479Z 2022-11-23T01:30:35.3007569Z 4081 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3007573Z 2022-11-23T01:30:35.3007661Z 4082 8 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3007747Z 10 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3007834Z 12 BUILD_LIST 2 2022-11-23T01:30:35.3007838Z 2022-11-23T01:30:35.3007923Z 4083 14 LOAD_CONST 2 (2) 2022-11-23T01:30:35.3007995Z 16 LOAD_CONST 2 (2) 2022-11-23T01:30:35.3008082Z 18 BUILD_LIST 2 2022-11-23T01:30:35.3008086Z 2022-11-23T01:30:35.3008174Z 4084 20 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3008258Z 22 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3008342Z 24 BUILD_LIST 2 2022-11-23T01:30:35.3008349Z 2022-11-23T01:30:35.3008440Z 4085 26 LOAD_CONST 4 (False) 2022-11-23T01:30:35.3008446Z 2022-11-23T01:30:35.3008532Z 4086 28 LOAD_CONST 4 (False) 2022-11-23T01:30:35.3008537Z 2022-11-23T01:30:35.3008625Z 4087 30 LOAD_CONST 0 (None) 2022-11-23T01:30:35.3008629Z 2022-11-23T01:30:35.3008714Z 4079 32 CALL_METHOD 8 2022-11-23T01:30:35.3008777Z 34 RETURN_VALUE 2022-11-23T01:30:35.3008836Z 2022-11-23T01:30:35.3008841Z 2022-11-23T01:30:35.3009157Z [2022-11-23 01:22:37,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079 2022-11-23T01:30:35.3009373Z [2022-11-23 01:22:37,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3009749Z [2022-11-23 01:22:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:30:35.3010064Z [2022-11-23 01:22:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4080 2022-11-23T01:30:35.3010333Z [2022-11-23 01:22:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:30:35.3010647Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4081 2022-11-23T01:30:35.3010947Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:30:35.3011257Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4082 2022-11-23T01:30:35.3011606Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3011972Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3012375Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3012684Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4083 2022-11-23T01:30:35.3013033Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3013428Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3013853Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3014159Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4084 2022-11-23T01:30:35.3014535Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3014950Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3015409Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3015723Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4085 2022-11-23T01:30:35.3016132Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3016443Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4086 2022-11-23T01:30:35.3016928Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.3017224Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4087 2022-11-23T01:30:35.3017714Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:30:35.3018019Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079 2022-11-23T01:30:35.3018552Z [2022-11-23 01:22:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:30:35.3018845Z [2022-11-23 01:22:37,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3019222Z [2022-11-23 01:22:37,395] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3019465Z [2022-11-23 01:22:37,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3019695Z [2022-11-23 01:22:37,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3019951Z [2022-11-23 01:22:37,396] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3020198Z [2022-11-23 01:22:37,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3020388Z [2022-11-23 01:22:37,399] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3020508Z __compiled_fn_33 .212 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3020597Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3020683Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3020858Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {} 2022-11-23T01:30:35.3020974Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:30:35.3020979Z 2022-11-23T01:30:35.3021365Z [2022-11-23 01:22:37,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3021479Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3021575Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3021649Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3021744Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3021827Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3021914Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3021989Z 12 RETURN_VALUE 2022-11-23T01:30:35.3021994Z 2022-11-23T01:30:35.3022055Z 2022-11-23T01:30:35.3022380Z [2022-11-23 01:22:37,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3022485Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_33) 2022-11-23T01:30:35.3022561Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3022649Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3022725Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3022811Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3022901Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3022974Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3023137Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3023216Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3023292Z 18 RETURN_VALUE 2022-11-23T01:30:35.3023297Z 2022-11-23T01:30:35.3023356Z 2022-11-23T01:30:35.3023538Z [2022-11-23 01:22:37,400] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3023607Z - 2022-11-23T01:30:35.3023725Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3023789Z { 2022-11-23T01:30:35.3023915Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3024101Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3024219Z 'obj_weakref': None 2022-11-23T01:30:35.3024444Z 'guarded_class': 2022-11-23T01:30:35.3024541Z } 2022-11-23T01:30:35.3024604Z 2022-11-23T01:30:35.3024672Z - 2022-11-23T01:30:35.3024782Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3024849Z { 2022-11-23T01:30:35.3024993Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3025099Z 'code': None, 2022-11-23T01:30:35.3025310Z 'obj_weakref': 2022-11-23T01:30:35.3025564Z 'guarded_class': 2022-11-23T01:30:35.3025627Z } 2022-11-23T01:30:35.3025678Z 2022-11-23T01:30:35.3025745Z - 2022-11-23T01:30:35.3025867Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3025930Z { 2022-11-23T01:30:35.3026070Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3026175Z 'code': None, 2022-11-23T01:30:35.3026385Z 'obj_weakref': 2022-11-23T01:30:35.3026624Z 'guarded_class': 2022-11-23T01:30:35.3026690Z } 2022-11-23T01:30:35.3026752Z 2022-11-23T01:30:35.3026820Z - 2022-11-23T01:30:35.3026951Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3027015Z { 2022-11-23T01:30:35.3027148Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3027303Z 'code': ['___check_obj_id(model, 140534659275296)'], 2022-11-23T01:30:35.3027420Z 'obj_weakref': None 2022-11-23T01:30:35.3027652Z 'guarded_class': 2022-11-23T01:30:35.3027715Z } 2022-11-23T01:30:35.3027778Z 2022-11-23T01:30:35.3027845Z - 2022-11-23T01:30:35.3027965Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3028018Z { 2022-11-23T01:30:35.3028157Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3028378Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3028495Z 'obj_weakref': None 2022-11-23T01:30:35.3028716Z 'guarded_class': 2022-11-23T01:30:35.3028778Z } 2022-11-23T01:30:35.3028840Z 2022-11-23T01:30:35.3028895Z - 2022-11-23T01:30:35.3029025Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3029087Z { 2022-11-23T01:30:35.3029204Z 'guard_types': None, 2022-11-23T01:30:35.3029309Z 'code': None, 2022-11-23T01:30:35.3029424Z 'obj_weakref': None 2022-11-23T01:30:35.3029545Z 'guarded_class': None 2022-11-23T01:30:35.3029596Z } 2022-11-23T01:30:35.3029658Z 2022-11-23T01:30:35.3029923Z [2022-11-23 01:22:37,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32 2022-11-23T01:30:35.3030348Z [2022-11-23 01:22:38,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqtm6qgesnpya34layj4pkyr334dqtppoctezdxrpxgmx3sz2ci.py 2022-11-23T01:30:35.3030610Z [2022-11-23 01:22:38,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32 2022-11-23T01:30:35.3030615Z 2022-11-23T01:30:35.3030708Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3030776Z import torch 2022-11-23T01:30:35.3030844Z import random 2022-11-23T01:30:35.3030948Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3031068Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3031073Z 2022-11-23T01:30:35.3031151Z aten = torch.ops.aten 2022-11-23T01:30:35.3031287Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3031379Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3031413Z 2022-11-23T01:30:35.3031417Z 2022-11-23T01:30:35.3031549Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3031757Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3031875Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3031963Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.3032023Z { 2022-11-23T01:30:35.3032122Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3032184Z { 2022-11-23T01:30:35.3032262Z #pragma omp for 2022-11-23T01:30:35.3032343Z for(long i0=0; i0<2016; i0+=1) 2022-11-23T01:30:35.3032405Z { 2022-11-23T01:30:35.3032472Z #pragma GCC ivdep 2022-11-23T01:30:35.3032556Z for(long i1=0; i1<21; i1+=1) 2022-11-23T01:30:35.3032618Z { 2022-11-23T01:30:35.3032698Z #pragma GCC ivdep 2022-11-23T01:30:35.3032786Z for(long i2=0; i2<21; i2+=1) 2022-11-23T01:30:35.3032855Z { 2022-11-23T01:30:35.3032909Z { 2022-11-23T01:30:35.3032979Z { 2022-11-23T01:30:35.3033094Z auto tmp0 = static_cast(((1 + i1) / 2)); 2022-11-23T01:30:35.3033205Z auto tmp1 = static_cast(((1 + i2) / 2)); 2022-11-23T01:30:35.3033318Z auto tmp2 = static_cast(1 + (i1 / 2)); 2022-11-23T01:30:35.3033425Z auto tmp3 = static_cast(1 + (i2 / 2)); 2022-11-23T01:30:35.3033530Z auto tmp4 = static_cast(0); 2022-11-23T01:30:35.3033646Z auto tmp5 = std::max(tmp0, tmp4); 2022-11-23T01:30:35.3033739Z auto tmp6 = std::max(tmp1, tmp4); 2022-11-23T01:30:35.3033840Z auto tmp7 = static_cast(11); 2022-11-23T01:30:35.3033946Z auto tmp8 = std::min(tmp2, tmp7); 2022-11-23T01:30:35.3034051Z auto tmp9 = std::min(tmp3, tmp7); 2022-11-23T01:30:35.3034148Z auto tmp10 = tmp5 + tmp4; 2022-11-23T01:30:35.3034243Z auto tmp11 = tmp6 + tmp4; 2022-11-23T01:30:35.3034345Z auto tmp12 = static_cast(1); 2022-11-23T01:30:35.3034494Z auto tmp13 = tmp8 - tmp12; 2022-11-23T01:30:35.3034589Z auto tmp14 = std::min(tmp10, tmp13); 2022-11-23T01:30:35.3034734Z auto tmp15 = tmp9 - tmp12; 2022-11-23T01:30:35.3034839Z auto tmp16 = std::min(tmp11, tmp15); 2022-11-23T01:30:35.3034955Z auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)]; 2022-11-23T01:30:35.3035048Z auto tmp18 = tmp17 / 1; 2022-11-23T01:30:35.3035142Z auto tmp19 = tmp10 < tmp8; 2022-11-23T01:30:35.3035239Z auto tmp20 = tmp11 < tmp9; 2022-11-23T01:30:35.3035334Z auto tmp21 = tmp19 & tmp20; 2022-11-23T01:30:35.3035462Z auto tmp22 = static_cast(0.0); 2022-11-23T01:30:35.3035568Z auto tmp23 = tmp21 ? tmp18 : tmp22; 2022-11-23T01:30:35.3035672Z out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23; 2022-11-23T01:30:35.3035741Z } 2022-11-23T01:30:35.3035807Z } 2022-11-23T01:30:35.3035872Z } 2022-11-23T01:30:35.3035934Z } 2022-11-23T01:30:35.3035984Z } 2022-11-23T01:30:35.3036046Z } 2022-11-23T01:30:35.3036106Z } 2022-11-23T01:30:35.3036184Z ''') 2022-11-23T01:30:35.3036189Z 2022-11-23T01:30:35.3036193Z 2022-11-23T01:30:35.3036282Z async_compile.wait(globals()) 2022-11-23T01:30:35.3036355Z del async_compile 2022-11-23T01:30:35.3036360Z 2022-11-23T01:30:35.3036428Z def call(args): 2022-11-23T01:30:35.3036518Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3036589Z args.clear() 2022-11-23T01:30:35.3036818Z buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3036953Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.3037020Z del arg0_1 2022-11-23T01:30:35.3037090Z return (buf0, ) 2022-11-23T01:30:35.3037094Z 2022-11-23T01:30:35.3037098Z 2022-11-23T01:30:35.3037173Z if __name__ == "__main__": 2022-11-23T01:30:35.3037273Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3037396Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3037623Z arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3037840Z arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3037954Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3037961Z 2022-11-23T01:30:35.3038028Z ok (1.533s) 2022-11-23T01:30:35.3038355Z test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3038674Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3038890Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3039131Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3039406Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3039723Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3040182Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3040506Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3040880Z [2022-11-23 01:22:38,908] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3040974Z 4102 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3041083Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:30:35.3041089Z 2022-11-23T01:30:35.3041178Z 4103 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3041183Z 2022-11-23T01:30:35.3041270Z 4104 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3041277Z 2022-11-23T01:30:35.3041366Z 4105 8 LOAD_CONST 1 (13) 2022-11-23T01:30:35.3041443Z 10 LOAD_CONST 1 (13) 2022-11-23T01:30:35.3041568Z 12 BUILD_LIST 2 2022-11-23T01:30:35.3041573Z 2022-11-23T01:30:35.3041662Z 4106 14 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3041749Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3041834Z 18 BUILD_LIST 2 2022-11-23T01:30:35.3041839Z 2022-11-23T01:30:35.3041925Z 4107 20 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3042010Z 22 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3042084Z 24 BUILD_LIST 2 2022-11-23T01:30:35.3042101Z 2022-11-23T01:30:35.3042180Z 4108 26 LOAD_CONST 4 (True) 2022-11-23T01:30:35.3042184Z 2022-11-23T01:30:35.3042276Z 4109 28 LOAD_CONST 5 (False) 2022-11-23T01:30:35.3042280Z 2022-11-23T01:30:35.3042399Z 4110 30 LOAD_CONST 0 (None) 2022-11-23T01:30:35.3042404Z 2022-11-23T01:30:35.3042488Z 4102 32 CALL_METHOD 8 2022-11-23T01:30:35.3042567Z 34 RETURN_VALUE 2022-11-23T01:30:35.3042632Z 2022-11-23T01:30:35.3042636Z 2022-11-23T01:30:35.3042957Z [2022-11-23 01:22:38,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102 2022-11-23T01:30:35.3043171Z [2022-11-23 01:22:38,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3043500Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:30:35.3043804Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4103 2022-11-23T01:30:35.3044073Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:30:35.3044387Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4104 2022-11-23T01:30:35.3044684Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:30:35.3045165Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4105 2022-11-23T01:30:35.3045500Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3045868Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3046282Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3046594Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4106 2022-11-23T01:30:35.3046946Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3047335Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3047762Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3048127Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4107 2022-11-23T01:30:35.3048500Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3048916Z [2022-11-23 01:22:38,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3049367Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3049725Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4108 2022-11-23T01:30:35.3050134Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3050440Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4109 2022-11-23T01:30:35.3050890Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.3051200Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4110 2022-11-23T01:30:35.3051692Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:30:35.3052001Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102 2022-11-23T01:30:35.3052531Z [2022-11-23 01:22:38,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:30:35.3052779Z [2022-11-23 01:22:38,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3053160Z [2022-11-23 01:22:38,917] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3053410Z [2022-11-23 01:22:38,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3053631Z [2022-11-23 01:22:38,917] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3053884Z [2022-11-23 01:22:38,918] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3054131Z [2022-11-23 01:22:38,921] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3054317Z [2022-11-23 01:22:38,921] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3054449Z __compiled_fn_34 .218 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3054540Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3054640Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3054821Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {} 2022-11-23T01:30:35.3054958Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:30:35.3054965Z 2022-11-23T01:30:35.3055293Z [2022-11-23 01:22:38,922] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3055385Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3055475Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3055562Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3055684Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3055768Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3055855Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3055918Z 12 RETURN_VALUE 2022-11-23T01:30:35.3055923Z 2022-11-23T01:30:35.3056019Z 2022-11-23T01:30:35.3056346Z [2022-11-23 01:22:38,922] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3056455Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_34) 2022-11-23T01:30:35.3056546Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3056633Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3056710Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3056797Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3056871Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3056946Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3057034Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3057123Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3057198Z 18 RETURN_VALUE 2022-11-23T01:30:35.3057202Z 2022-11-23T01:30:35.3057262Z 2022-11-23T01:30:35.3057444Z [2022-11-23 01:22:38,923] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3057503Z - 2022-11-23T01:30:35.3057620Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3057684Z { 2022-11-23T01:30:35.3057825Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3058010Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3058127Z 'obj_weakref': None 2022-11-23T01:30:35.3058353Z 'guarded_class': 2022-11-23T01:30:35.3058405Z } 2022-11-23T01:30:35.3058472Z 2022-11-23T01:30:35.3058541Z - 2022-11-23T01:30:35.3058666Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3058729Z { 2022-11-23T01:30:35.3058870Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3058977Z 'code': None, 2022-11-23T01:30:35.3059177Z 'obj_weakref': 2022-11-23T01:30:35.3059432Z 'guarded_class': 2022-11-23T01:30:35.3059499Z } 2022-11-23T01:30:35.3059562Z 2022-11-23T01:30:35.3059632Z - 2022-11-23T01:30:35.3059755Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3059817Z { 2022-11-23T01:30:35.3059944Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3060048Z 'code': None, 2022-11-23T01:30:35.3060255Z 'obj_weakref': 2022-11-23T01:30:35.3060504Z 'guarded_class': 2022-11-23T01:30:35.3060567Z } 2022-11-23T01:30:35.3060629Z 2022-11-23T01:30:35.3060698Z - 2022-11-23T01:30:35.3060815Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3060881Z { 2022-11-23T01:30:35.3061015Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3061182Z 'code': ['___check_obj_id(model, 140534621353104)'], 2022-11-23T01:30:35.3061335Z 'obj_weakref': None 2022-11-23T01:30:35.3061566Z 'guarded_class': 2022-11-23T01:30:35.3061629Z } 2022-11-23T01:30:35.3061680Z 2022-11-23T01:30:35.3061748Z - 2022-11-23T01:30:35.3061868Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3061931Z { 2022-11-23T01:30:35.3062065Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3062280Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3062398Z 'obj_weakref': None 2022-11-23T01:30:35.3062607Z 'guarded_class': 2022-11-23T01:30:35.3062703Z } 2022-11-23T01:30:35.3062768Z 2022-11-23T01:30:35.3062837Z - 2022-11-23T01:30:35.3062969Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3063035Z { 2022-11-23T01:30:35.3063152Z 'guard_types': None, 2022-11-23T01:30:35.3063244Z 'code': None, 2022-11-23T01:30:35.3063361Z 'obj_weakref': None 2022-11-23T01:30:35.3063481Z 'guarded_class': None 2022-11-23T01:30:35.3063544Z } 2022-11-23T01:30:35.3063605Z 2022-11-23T01:30:35.3063862Z [2022-11-23 01:22:38,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33 2022-11-23T01:30:35.3064102Z [2022-11-23 01:22:38,930] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward 2022-11-23T01:30:35.3064450Z [2022-11-23 01:22:38,932] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37phnzohstu2bnctx63h2ybszr3lpto2zu2sicmt5a64t35h3aw.py 2022-11-23T01:30:35.3064716Z [2022-11-23 01:22:38,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33 2022-11-23T01:30:35.3064721Z 2022-11-23T01:30:35.3064817Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3064888Z import torch 2022-11-23T01:30:35.3064957Z import random 2022-11-23T01:30:35.3065072Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3065193Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3065198Z 2022-11-23T01:30:35.3065275Z aten = torch.ops.aten 2022-11-23T01:30:35.3065396Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3065487Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3065492Z 2022-11-23T01:30:35.3065496Z 2022-11-23T01:30:35.3065583Z async_compile.wait(globals()) 2022-11-23T01:30:35.3065658Z del async_compile 2022-11-23T01:30:35.3065662Z 2022-11-23T01:30:35.3065733Z def call(args): 2022-11-23T01:30:35.3065807Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3065880Z args.clear() 2022-11-23T01:30:35.3066023Z buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None) 2022-11-23T01:30:35.3066078Z del arg0_1 2022-11-23T01:30:35.3066146Z del arg1_1 2022-11-23T01:30:35.3066217Z buf1 = buf0 2022-11-23T01:30:35.3066323Z assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1)) 2022-11-23T01:30:35.3066388Z del buf0 2022-11-23T01:30:35.3066457Z return (buf1, ) 2022-11-23T01:30:35.3066463Z 2022-11-23T01:30:35.3066467Z 2022-11-23T01:30:35.3066543Z if __name__ == "__main__": 2022-11-23T01:30:35.3066643Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3066765Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3066984Z arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3067203Z arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3067322Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3067326Z 2022-11-23T01:30:35.3067393Z ok (0.034s) 2022-11-23T01:30:35.3067751Z test_avg_pool2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3068070Z [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3068284Z [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3068522Z [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3068796Z [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3069116Z [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3069498Z [2022-11-23 01:22:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3069820Z [2022-11-23 01:22:38,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3070192Z [2022-11-23 01:22:38,942] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3070286Z 4037 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3070395Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:30:35.3070400Z 2022-11-23T01:30:35.3070489Z 4038 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3070494Z 2022-11-23T01:30:35.3070584Z 4039 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3070589Z 2022-11-23T01:30:35.3070663Z 4040 8 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3070751Z 10 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3070839Z 12 BUILD_LIST 2 2022-11-23T01:30:35.3070844Z 2022-11-23T01:30:35.3070930Z 4041 14 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3071013Z 16 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3071097Z 18 BUILD_LIST 2 2022-11-23T01:30:35.3071102Z 2022-11-23T01:30:35.3071186Z 4042 20 LOAD_CONST 2 (0) 2022-11-23T01:30:35.3071271Z 22 LOAD_CONST 2 (0) 2022-11-23T01:30:35.3071344Z 24 BUILD_LIST 2 2022-11-23T01:30:35.3071348Z 2022-11-23T01:30:35.3071440Z 4043 26 LOAD_CONST 3 (True) 2022-11-23T01:30:35.3071444Z 2022-11-23T01:30:35.3071534Z 4044 28 LOAD_CONST 4 (False) 2022-11-23T01:30:35.3071541Z 2022-11-23T01:30:35.3071629Z 4045 30 LOAD_CONST 0 (None) 2022-11-23T01:30:35.3071633Z 2022-11-23T01:30:35.3071721Z 4037 32 CALL_METHOD 8 2022-11-23T01:30:35.3071796Z 34 RETURN_VALUE 2022-11-23T01:30:35.3071857Z 2022-11-23T01:30:35.3071861Z 2022-11-23T01:30:35.3072179Z [2022-11-23 01:22:38,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037 2022-11-23T01:30:35.3072396Z [2022-11-23 01:22:38,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3072712Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:30:35.3073024Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4038 2022-11-23T01:30:35.3073297Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:30:35.3073648Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4039 2022-11-23T01:30:35.3073949Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:30:35.3074258Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4040 2022-11-23T01:30:35.3074588Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3074953Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3075392Z [2022-11-23 01:22:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3075704Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4041 2022-11-23T01:30:35.3076055Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3076445Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3076860Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3077176Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4042 2022-11-23T01:30:35.3077555Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3077966Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3078422Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3078736Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4043 2022-11-23T01:30:35.3079142Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3079450Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4044 2022-11-23T01:30:35.3079903Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.3080316Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4045 2022-11-23T01:30:35.3080852Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:30:35.3081161Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037 2022-11-23T01:30:35.3081694Z [2022-11-23 01:22:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:30:35.3081945Z [2022-11-23 01:22:38,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3082360Z [2022-11-23 01:22:38,950] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3082591Z [2022-11-23 01:22:38,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3082823Z [2022-11-23 01:22:38,950] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3083076Z [2022-11-23 01:22:38,951] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3083326Z [2022-11-23 01:22:38,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3083512Z [2022-11-23 01:22:38,955] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3083644Z __compiled_fn_35 .224 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3083735Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3083825Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3083990Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {} 2022-11-23T01:30:35.3084106Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:30:35.3084112Z 2022-11-23T01:30:35.3084434Z [2022-11-23 01:22:38,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3084525Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3084614Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3084700Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3084915Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3085001Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3085076Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3085152Z 12 RETURN_VALUE 2022-11-23T01:30:35.3085159Z 2022-11-23T01:30:35.3085219Z 2022-11-23T01:30:35.3085549Z [2022-11-23 01:22:38,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3085656Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_35) 2022-11-23T01:30:35.3085745Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3085832Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3085907Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3085982Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3086068Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3086143Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3086228Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3086317Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3086391Z 18 RETURN_VALUE 2022-11-23T01:30:35.3086396Z 2022-11-23T01:30:35.3086459Z 2022-11-23T01:30:35.3086629Z [2022-11-23 01:22:38,956] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3086697Z - 2022-11-23T01:30:35.3086868Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3086936Z { 2022-11-23T01:30:35.3087080Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3087264Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3087383Z 'obj_weakref': None 2022-11-23T01:30:35.3087594Z 'guarded_class': 2022-11-23T01:30:35.3087659Z } 2022-11-23T01:30:35.3087721Z 2022-11-23T01:30:35.3087790Z - 2022-11-23T01:30:35.3087912Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3087975Z { 2022-11-23T01:30:35.3088115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3088209Z 'code': None, 2022-11-23T01:30:35.3088463Z 'obj_weakref': 2022-11-23T01:30:35.3088716Z 'guarded_class': 2022-11-23T01:30:35.3088782Z } 2022-11-23T01:30:35.3088845Z 2022-11-23T01:30:35.3088912Z - 2022-11-23T01:30:35.3089035Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3089084Z { 2022-11-23T01:30:35.3089223Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3089328Z 'code': None, 2022-11-23T01:30:35.3089537Z 'obj_weakref': 2022-11-23T01:30:35.3089782Z 'guarded_class': 2022-11-23T01:30:35.3089845Z } 2022-11-23T01:30:35.3089907Z 2022-11-23T01:30:35.3089962Z - 2022-11-23T01:30:35.3090093Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3090157Z { 2022-11-23T01:30:35.3090293Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3090464Z 'code': ['___check_obj_id(model, 140534621354256)'], 2022-11-23T01:30:35.3090580Z 'obj_weakref': None 2022-11-23T01:30:35.3090812Z 'guarded_class': 2022-11-23T01:30:35.3090863Z } 2022-11-23T01:30:35.3090928Z 2022-11-23T01:30:35.3090997Z - 2022-11-23T01:30:35.3091116Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3091178Z { 2022-11-23T01:30:35.3091311Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3091527Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3091631Z 'obj_weakref': None 2022-11-23T01:30:35.3091857Z 'guarded_class': 2022-11-23T01:30:35.3091923Z } 2022-11-23T01:30:35.3091986Z 2022-11-23T01:30:35.3092054Z - 2022-11-23T01:30:35.3092188Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3092251Z { 2022-11-23T01:30:35.3092356Z 'guard_types': None, 2022-11-23T01:30:35.3092461Z 'code': None, 2022-11-23T01:30:35.3092577Z 'obj_weakref': None 2022-11-23T01:30:35.3092696Z 'guarded_class': None 2022-11-23T01:30:35.3092759Z } 2022-11-23T01:30:35.3092821Z 2022-11-23T01:30:35.3093076Z [2022-11-23 01:22:38,962] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34 2022-11-23T01:30:35.3093430Z [2022-11-23 01:22:40,456] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x5/cx5ovbk6dwhnbchspqoj7qryrqi5bnwurbgtsptbv2rep42jnncs.py 2022-11-23T01:30:35.3093690Z [2022-11-23 01:22:40,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34 2022-11-23T01:30:35.3093697Z 2022-11-23T01:30:35.3093792Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3093861Z import torch 2022-11-23T01:30:35.3093966Z import random 2022-11-23T01:30:35.3094082Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3094202Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3094207Z 2022-11-23T01:30:35.3094284Z aten = torch.ops.aten 2022-11-23T01:30:35.3094404Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3094495Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3094499Z 2022-11-23T01:30:35.3094503Z 2022-11-23T01:30:35.3094635Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3094841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3094957Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3095056Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.3095146Z { 2022-11-23T01:30:35.3095243Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3095292Z { 2022-11-23T01:30:35.3095370Z #pragma omp for 2022-11-23T01:30:35.3095452Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3095514Z { 2022-11-23T01:30:35.3095596Z #pragma GCC ivdep 2022-11-23T01:30:35.3095680Z for(long i1=0; i1<14; i1+=1) 2022-11-23T01:30:35.3095743Z { 2022-11-23T01:30:35.3095812Z #pragma GCC ivdep 2022-11-23T01:30:35.3095900Z for(long i2=0; i2<14; i2+=1) 2022-11-23T01:30:35.3095967Z { 2022-11-23T01:30:35.3096034Z { 2022-11-23T01:30:35.3096102Z { 2022-11-23T01:30:35.3096212Z auto tmp0 = static_cast((i1 / 2)); 2022-11-23T01:30:35.3096318Z auto tmp1 = static_cast((i2 / 2)); 2022-11-23T01:30:35.3096416Z auto tmp2 = static_cast(1 + (i1 / 2)); 2022-11-23T01:30:35.3096527Z auto tmp3 = static_cast(1 + (i2 / 2)); 2022-11-23T01:30:35.3096633Z auto tmp4 = static_cast(0); 2022-11-23T01:30:35.3096751Z auto tmp5 = std::max(tmp0, tmp4); 2022-11-23T01:30:35.3096856Z auto tmp6 = std::max(tmp1, tmp4); 2022-11-23T01:30:35.3096958Z auto tmp7 = static_cast(7); 2022-11-23T01:30:35.3097061Z auto tmp8 = std::min(tmp2, tmp7); 2022-11-23T01:30:35.3097163Z auto tmp9 = std::min(tmp3, tmp7); 2022-11-23T01:30:35.3097246Z auto tmp10 = tmp5 + tmp4; 2022-11-23T01:30:35.3097339Z auto tmp11 = tmp6 + tmp4; 2022-11-23T01:30:35.3097439Z auto tmp12 = static_cast(1); 2022-11-23T01:30:35.3097591Z auto tmp13 = tmp8 - tmp12; 2022-11-23T01:30:35.3097704Z auto tmp14 = std::min(tmp10, tmp13); 2022-11-23T01:30:35.3097847Z auto tmp15 = tmp9 - tmp12; 2022-11-23T01:30:35.3097956Z auto tmp16 = std::min(tmp11, tmp15); 2022-11-23T01:30:35.3098064Z auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)]; 2022-11-23T01:30:35.3098157Z auto tmp18 = tmp17 / 4; 2022-11-23T01:30:35.3098253Z auto tmp19 = tmp10 < tmp8; 2022-11-23T01:30:35.3098349Z auto tmp20 = tmp11 < tmp9; 2022-11-23T01:30:35.3098444Z auto tmp21 = tmp19 & tmp20; 2022-11-23T01:30:35.3098553Z auto tmp22 = static_cast(0.0); 2022-11-23T01:30:35.3098657Z auto tmp23 = tmp21 ? tmp18 : tmp22; 2022-11-23T01:30:35.3098760Z out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23; 2022-11-23T01:30:35.3098817Z } 2022-11-23T01:30:35.3098882Z } 2022-11-23T01:30:35.3098946Z } 2022-11-23T01:30:35.3099009Z } 2022-11-23T01:30:35.3099108Z } 2022-11-23T01:30:35.3099171Z } 2022-11-23T01:30:35.3099218Z } 2022-11-23T01:30:35.3099295Z ''') 2022-11-23T01:30:35.3099300Z 2022-11-23T01:30:35.3099304Z 2022-11-23T01:30:35.3099396Z async_compile.wait(globals()) 2022-11-23T01:30:35.3099468Z del async_compile 2022-11-23T01:30:35.3099473Z 2022-11-23T01:30:35.3099543Z def call(args): 2022-11-23T01:30:35.3099618Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3099688Z args.clear() 2022-11-23T01:30:35.3099909Z buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3100028Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.3100097Z del arg0_1 2022-11-23T01:30:35.3100170Z return (buf0, ) 2022-11-23T01:30:35.3100222Z 2022-11-23T01:30:35.3100226Z 2022-11-23T01:30:35.3100302Z if __name__ == "__main__": 2022-11-23T01:30:35.3100417Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3100541Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3100754Z arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3100969Z arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3101071Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3101075Z 2022-11-23T01:30:35.3101142Z ok (1.520s) 2022-11-23T01:30:35.3101447Z test_baddbmm_cpu (__main__.CpuTests) ... [2022-11-23 01:22:40,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3101764Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3101984Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3102237Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3102512Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3102833Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3103178Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3103500Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3103859Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3103960Z 3410 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3104055Z 2 LOAD_METHOD 1 (baddbmm) 2022-11-23T01:30:35.3104145Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3104233Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3104318Z 8 LOAD_FAST 2 (c) 2022-11-23T01:30:35.3104405Z 10 CALL_METHOD 3 2022-11-23T01:30:35.3104468Z 12 RETURN_VALUE 2022-11-23T01:30:35.3104528Z 2022-11-23T01:30:35.3104533Z 2022-11-23T01:30:35.3104851Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3410 2022-11-23T01:30:35.3105066Z [2022-11-23 01:22:40,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3105377Z [2022-11-23 01:22:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable()] 2022-11-23T01:30:35.3105665Z [2022-11-23 01:22:40,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)] 2022-11-23T01:30:35.3105946Z [2022-11-23 01:22:40,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()] 2022-11-23T01:30:35.3106252Z [2022-11-23 01:22:40,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3106595Z [2022-11-23 01:22:40,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3106834Z [2022-11-23 01:22:40,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3285710Z [2022-11-23 01:22:40,472] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3286265Z [2022-11-23 01:22:40,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3286513Z [2022-11-23 01:22:40,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3286770Z [2022-11-23 01:22:40,473] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3287017Z [2022-11-23 01:22:40,476] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3287195Z [2022-11-23 01:22:40,476] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3287326Z __compiled_fn_36 .230 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3287411Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3287499Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3287579Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.3287702Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {} 2022-11-23T01:30:35.3287795Z output, output, output, ((baddbmm,),), {} 2022-11-23T01:30:35.3287806Z 2022-11-23T01:30:35.3288130Z [2022-11-23 01:22:40,476] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3288212Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3288295Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3288375Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3288460Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3288538Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3288621Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3288690Z 12 RETURN_VALUE 2022-11-23T01:30:35.3288698Z 2022-11-23T01:30:35.3288752Z 2022-11-23T01:30:35.3289070Z [2022-11-23 01:22:40,476] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3289175Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_36) 2022-11-23T01:30:35.3289261Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3289342Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3289413Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3289494Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3289576Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3289638Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3289719Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3289797Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3289865Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.3289949Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.3290034Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3290102Z 24 RETURN_VALUE 2022-11-23T01:30:35.3290107Z 2022-11-23T01:30:35.3290417Z 2022-11-23T01:30:35.3290600Z [2022-11-23 01:22:40,477] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3290665Z - 2022-11-23T01:30:35.3290777Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3290836Z { 2022-11-23T01:30:35.3290971Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3291156Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.3291263Z 'obj_weakref': None 2022-11-23T01:30:35.3291482Z 'guarded_class': 2022-11-23T01:30:35.3291541Z } 2022-11-23T01:30:35.3291598Z 2022-11-23T01:30:35.3291661Z - 2022-11-23T01:30:35.3291779Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3291893Z { 2022-11-23T01:30:35.3292024Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3292123Z 'code': None, 2022-11-23T01:30:35.3292329Z 'obj_weakref': 2022-11-23T01:30:35.3292577Z 'guarded_class': 2022-11-23T01:30:35.3292635Z } 2022-11-23T01:30:35.3292690Z 2022-11-23T01:30:35.3292751Z - 2022-11-23T01:30:35.3292860Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3292914Z { 2022-11-23T01:30:35.3293047Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3293146Z 'code': None, 2022-11-23T01:30:35.3293348Z 'obj_weakref': 2022-11-23T01:30:35.3293591Z 'guarded_class': 2022-11-23T01:30:35.3293653Z } 2022-11-23T01:30:35.3293702Z 2022-11-23T01:30:35.3293765Z - 2022-11-23T01:30:35.3293883Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.3293941Z { 2022-11-23T01:30:35.3294073Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3294174Z 'code': None, 2022-11-23T01:30:35.3294372Z 'obj_weakref': 2022-11-23T01:30:35.3294613Z 'guarded_class': 2022-11-23T01:30:35.3294664Z } 2022-11-23T01:30:35.3294722Z 2022-11-23T01:30:35.3294785Z - 2022-11-23T01:30:35.3294909Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3294965Z { 2022-11-23T01:30:35.3295091Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3295252Z 'code': ['___check_obj_id(model, 140534620795184)'], 2022-11-23T01:30:35.3295364Z 'obj_weakref': None 2022-11-23T01:30:35.3295591Z 'guarded_class': 2022-11-23T01:30:35.3295649Z } 2022-11-23T01:30:35.3295707Z 2022-11-23T01:30:35.3295768Z - 2022-11-23T01:30:35.3295883Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3295933Z { 2022-11-23T01:30:35.3296062Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3296276Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3296390Z 'obj_weakref': None 2022-11-23T01:30:35.3296604Z 'guarded_class': 2022-11-23T01:30:35.3296660Z } 2022-11-23T01:30:35.3296718Z 2022-11-23T01:30:35.3296775Z - 2022-11-23T01:30:35.3296902Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3296957Z { 2022-11-23T01:30:35.3297072Z 'guard_types': None, 2022-11-23T01:30:35.3297241Z 'code': None, 2022-11-23T01:30:35.3297354Z 'obj_weakref': None 2022-11-23T01:30:35.3297468Z 'guarded_class': None 2022-11-23T01:30:35.3297518Z } 2022-11-23T01:30:35.3297574Z 2022-11-23T01:30:35.3297829Z [2022-11-23 01:22:40,483] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35 2022-11-23T01:30:35.3298200Z [2022-11-23 01:22:41,955] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq3wxeskp6hrtkcrsekpyjqqzkemn7zentfyduoxlgkq2g2uprdz.py 2022-11-23T01:30:35.3298456Z [2022-11-23 01:22:41,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35 2022-11-23T01:30:35.3298462Z 2022-11-23T01:30:35.3298550Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3298681Z import torch 2022-11-23T01:30:35.3298745Z import random 2022-11-23T01:30:35.3298847Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3298964Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3298969Z 2022-11-23T01:30:35.3299041Z aten = torch.ops.aten 2022-11-23T01:30:35.3299168Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3299254Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3299259Z 2022-11-23T01:30:35.3299264Z 2022-11-23T01:30:35.3299394Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3299595Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3299707Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.3299798Z const float* __restrict__ in_ptr0) 2022-11-23T01:30:35.3299852Z { 2022-11-23T01:30:35.3299943Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3299998Z { 2022-11-23T01:30:35.3300084Z #pragma omp for collapse(2) 2022-11-23T01:30:35.3300161Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:35.3300221Z { 2022-11-23T01:30:35.3300296Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:35.3300355Z { 2022-11-23T01:30:35.3300439Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:30:35.3300502Z { 2022-11-23T01:30:35.3300663Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (100*i0)); 2022-11-23T01:30:35.3300814Z auto tmp1 = at::vec::Vectorized::loadu(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0)); 2022-11-23T01:30:35.3300901Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3301012Z tmp2.store(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0)); 2022-11-23T01:30:35.3301065Z } 2022-11-23T01:30:35.3301156Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.3301242Z for(long i2=96; i2<100; i2+=1) 2022-11-23T01:30:35.3301304Z { 2022-11-23T01:30:35.3301398Z auto tmp0 = in_ptr0[i2 + (100*i0)]; 2022-11-23T01:30:35.3301511Z auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)]; 2022-11-23T01:30:35.3301596Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3301688Z in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2; 2022-11-23T01:30:35.3301747Z } 2022-11-23T01:30:35.3301805Z } 2022-11-23T01:30:35.3301862Z } 2022-11-23T01:30:35.3301918Z } 2022-11-23T01:30:35.3301975Z } 2022-11-23T01:30:35.3302041Z ''') 2022-11-23T01:30:35.3302052Z 2022-11-23T01:30:35.3302057Z 2022-11-23T01:30:35.3302133Z async_compile.wait(globals()) 2022-11-23T01:30:35.3302201Z del async_compile 2022-11-23T01:30:35.3302205Z 2022-11-23T01:30:35.3302268Z def call(args): 2022-11-23T01:30:35.3302349Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.3302418Z args.clear() 2022-11-23T01:30:35.3302630Z buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3302724Z aten.bmm.out(arg1_1, arg2_1, out=buf0) 2022-11-23T01:30:35.3302809Z del arg1_1 2022-11-23T01:30:35.3302873Z del arg2_1 2022-11-23T01:30:35.3302951Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.3303081Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:30:35.3303144Z del arg0_1 2022-11-23T01:30:35.3303210Z return (buf1, ) 2022-11-23T01:30:35.3303215Z 2022-11-23T01:30:35.3303219Z 2022-11-23T01:30:35.3303288Z if __name__ == "__main__": 2022-11-23T01:30:35.3303390Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3303505Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3303709Z arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3303912Z arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3304148Z arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3304269Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.3304275Z 2022-11-23T01:30:35.3304336Z ok (1.502s) 2022-11-23T01:30:35.3304642Z test_batch_norm_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3304957Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3305160Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3305395Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.3305659Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.3305968Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3306297Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3306608Z [2022-11-23 01:22:41,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3306849Z [2022-11-23 01:22:41,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3307079Z [2022-11-23 01:22:41,978] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3307330Z [2022-11-23 01:22:41,979] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3307578Z [2022-11-23 01:22:41,990] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3307754Z [2022-11-23 01:22:41,990] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3307881Z __compiled_fn_37 .236 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3307963Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3308058Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.3308154Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.3308244Z output, output, output, ((model_1,),), {} 2022-11-23T01:30:35.3308249Z 2022-11-23T01:30:35.3308570Z [2022-11-23 01:22:41,991] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3308658Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3308735Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3308816Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3308906Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3308985Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3309101Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3309176Z 12 RETURN_VALUE 2022-11-23T01:30:35.3309181Z 2022-11-23T01:30:35.3309236Z 2022-11-23T01:30:35.3309548Z [2022-11-23 01:22:41,991] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3309651Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_37) 2022-11-23T01:30:35.3309737Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3309821Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3309893Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3309978Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3310064Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3310166Z 12 RETURN_VALUE 2022-11-23T01:30:35.3310170Z 2022-11-23T01:30:35.3310218Z 2022-11-23T01:30:35.3310398Z [2022-11-23 01:22:41,991] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3310465Z - 2022-11-23T01:30:35.3310581Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3310645Z { 2022-11-23T01:30:35.3310781Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3310963Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3311069Z 'obj_weakref': None 2022-11-23T01:30:35.3311293Z 'guarded_class': 2022-11-23T01:30:35.3311355Z } 2022-11-23T01:30:35.3311417Z 2022-11-23T01:30:35.3311481Z - 2022-11-23T01:30:35.3311601Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3311659Z { 2022-11-23T01:30:35.3311787Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3311892Z 'code': None, 2022-11-23T01:30:35.3312095Z 'obj_weakref': 2022-11-23T01:30:35.3312346Z 'guarded_class': 2022-11-23T01:30:35.3312408Z } 2022-11-23T01:30:35.3312467Z 2022-11-23T01:30:35.3312531Z - 2022-11-23T01:30:35.3312638Z local 'model' NN_MODULE 2022-11-23T01:30:35.3312701Z { 2022-11-23T01:30:35.3312831Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3312996Z 'code': ['___check_obj_id(model, 140537192002800)'], 2022-11-23T01:30:35.3313212Z 'obj_weakref': 2022-11-23T01:30:35.3313442Z 'guarded_class': 2022-11-23T01:30:35.3313504Z } 2022-11-23T01:30:35.3313556Z 2022-11-23T01:30:35.3313621Z - 2022-11-23T01:30:35.3313739Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3313798Z { 2022-11-23T01:30:35.3313932Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3314145Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3314261Z 'obj_weakref': None 2022-11-23T01:30:35.3314470Z 'guarded_class': 2022-11-23T01:30:35.3314531Z } 2022-11-23T01:30:35.3314590Z 2022-11-23T01:30:35.3314654Z - 2022-11-23T01:30:35.3314796Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.3314853Z { 2022-11-23T01:30:35.3314968Z 'guard_types': None, 2022-11-23T01:30:35.3315061Z 'code': None, 2022-11-23T01:30:35.3315174Z 'obj_weakref': None 2022-11-23T01:30:35.3315292Z 'guarded_class': None 2022-11-23T01:30:35.3315355Z } 2022-11-23T01:30:35.3315412Z 2022-11-23T01:30:35.3315479Z - 2022-11-23T01:30:35.3315647Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.3315710Z { 2022-11-23T01:30:35.3315826Z 'guard_types': None, 2022-11-23T01:30:35.3315930Z 'code': None, 2022-11-23T01:30:35.3316042Z 'obj_weakref': None 2022-11-23T01:30:35.3316158Z 'guarded_class': None 2022-11-23T01:30:35.3316219Z } 2022-11-23T01:30:35.3316270Z 2022-11-23T01:30:35.3316522Z [2022-11-23 01:22:42,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36 2022-11-23T01:30:35.3316887Z [2022-11-23 01:22:43,569] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hc/chcmy54avhg37cfk7ytdhogeiaos7dmlk3h7dlmp5n6ljhelavlg.py 2022-11-23T01:30:35.3317145Z [2022-11-23 01:22:43,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36 2022-11-23T01:30:35.3317409Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3317721Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3317935Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3318178Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.3318442Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.3318739Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3319069Z [2022-11-23 01:22:43,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3319379Z [2022-11-23 01:22:43,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3319622Z [2022-11-23 01:22:43,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3319852Z [2022-11-23 01:22:43,586] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3320203Z [2022-11-23 01:22:43,587] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3320457Z [2022-11-23 01:22:43,599] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3320645Z [2022-11-23 01:22:43,600] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3320777Z __compiled_fn_38 .247 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3320863Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3320950Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.3321054Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.3321151Z output, output, output, ((model_1,),), {} 2022-11-23T01:30:35.3321156Z 2022-11-23T01:30:35.3321476Z [2022-11-23 01:22:43,600] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3321569Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3321655Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3321740Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3321820Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3321900Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3321983Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3322060Z 12 RETURN_VALUE 2022-11-23T01:30:35.3322065Z 2022-11-23T01:30:35.3322124Z 2022-11-23T01:30:35.3322484Z [2022-11-23 01:22:43,600] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3322590Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_38) 2022-11-23T01:30:35.3322677Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3322754Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3322828Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3322912Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3322999Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3323070Z 12 RETURN_VALUE 2022-11-23T01:30:35.3323075Z 2022-11-23T01:30:35.3323132Z 2022-11-23T01:30:35.3323311Z [2022-11-23 01:22:43,601] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3323367Z - 2022-11-23T01:30:35.3323482Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3323569Z { 2022-11-23T01:30:35.3323712Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3323904Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3324018Z 'obj_weakref': None 2022-11-23T01:30:35.3324242Z 'guarded_class': 2022-11-23T01:30:35.3324308Z } 2022-11-23T01:30:35.3324359Z 2022-11-23T01:30:35.3324423Z - 2022-11-23T01:30:35.3324548Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3324608Z { 2022-11-23T01:30:35.3324873Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3324982Z 'code': None, 2022-11-23T01:30:35.3325181Z 'obj_weakref': 2022-11-23T01:30:35.3325430Z 'guarded_class': 2022-11-23T01:30:35.3325492Z } 2022-11-23T01:30:35.3325554Z 2022-11-23T01:30:35.3325620Z - 2022-11-23T01:30:35.3325740Z local 'model' NN_MODULE 2022-11-23T01:30:35.3325800Z { 2022-11-23T01:30:35.3325921Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3326085Z 'code': ['___check_obj_id(model, 140537192002800)'], 2022-11-23T01:30:35.3326302Z 'obj_weakref': 2022-11-23T01:30:35.3326530Z 'guarded_class': 2022-11-23T01:30:35.3326594Z } 2022-11-23T01:30:35.3326659Z 2022-11-23T01:30:35.3326727Z - 2022-11-23T01:30:35.3326834Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3326890Z { 2022-11-23T01:30:35.3327023Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3327240Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3327354Z 'obj_weakref': None 2022-11-23T01:30:35.3327572Z 'guarded_class': 2022-11-23T01:30:35.3327633Z } 2022-11-23T01:30:35.3327691Z 2022-11-23T01:30:35.3327746Z - 2022-11-23T01:30:35.3327889Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.3327951Z { 2022-11-23T01:30:35.3328064Z 'guard_types': None, 2022-11-23T01:30:35.3328167Z 'code': None, 2022-11-23T01:30:35.3328281Z 'obj_weakref': None 2022-11-23T01:30:35.3328387Z 'guarded_class': None 2022-11-23T01:30:35.3328445Z } 2022-11-23T01:30:35.3328502Z 2022-11-23T01:30:35.3328568Z - 2022-11-23T01:30:35.3328707Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.3328768Z { 2022-11-23T01:30:35.3328886Z 'guard_types': None, 2022-11-23T01:30:35.3328978Z 'code': None, 2022-11-23T01:30:35.3329090Z 'obj_weakref': None 2022-11-23T01:30:35.3329273Z 'guarded_class': None 2022-11-23T01:30:35.3329336Z } 2022-11-23T01:30:35.3329399Z 2022-11-23T01:30:35.3329655Z [2022-11-23 01:22:43,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37 2022-11-23T01:30:35.3329661Z 2022-11-23T01:30:35.3329751Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3329808Z import torch 2022-11-23T01:30:35.3329870Z import random 2022-11-23T01:30:35.3329982Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3330102Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3330107Z 2022-11-23T01:30:35.3330182Z aten = torch.ops.aten 2022-11-23T01:30:35.3330315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3330439Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3330444Z 2022-11-23T01:30:35.3330449Z 2022-11-23T01:30:35.3330577Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3330772Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3330889Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3330990Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3331092Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.3331191Z const float* __restrict__ in_ptr3, 2022-11-23T01:30:35.3331290Z const float* __restrict__ in_ptr4, 2022-11-23T01:30:35.3331386Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3331480Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:35.3331528Z { 2022-11-23T01:30:35.3331625Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3331682Z { 2022-11-23T01:30:35.3331773Z #pragma omp for collapse(2) 2022-11-23T01:30:35.3331852Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.3331913Z { 2022-11-23T01:30:35.3331988Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:35.3332047Z { 2022-11-23T01:30:35.3332135Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:30:35.3332195Z { 2022-11-23T01:30:35.3332352Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (64*i1) + (640*i0)); 2022-11-23T01:30:35.3332478Z auto tmp1 = at::vec::Vectorized(in_ptr1[i1]); 2022-11-23T01:30:35.3332598Z auto tmp3 = at::vec::Vectorized(in_ptr2[i1]); 2022-11-23T01:30:35.3332721Z auto tmp11 = at::vec::Vectorized(in_ptr3[i1]); 2022-11-23T01:30:35.3332833Z auto tmp13 = at::vec::Vectorized(in_ptr4[i1]); 2022-11-23T01:30:35.3332969Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3333177Z auto tmp4 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:30:35.3333268Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:35.3333358Z auto tmp6 = tmp5.sqrt(); 2022-11-23T01:30:35.3333455Z auto tmp7 = tmp6.reciprocal(); 2022-11-23T01:30:35.3333591Z auto tmp8 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.3333678Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.3333756Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:30:35.3333847Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:30:35.3333935Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:35.3334063Z auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0)); 2022-11-23T01:30:35.3334175Z tmp15.store(out_ptr0 + (8*i2) + (64*i1) + (640*i0)); 2022-11-23T01:30:35.3334241Z } 2022-11-23T01:30:35.3334339Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.3334415Z for(long i2=64; i2<64; i2+=1) 2022-11-23T01:30:35.3334479Z { 2022-11-23T01:30:35.3334620Z auto tmp0 = in_ptr0[i2 + (64*i1) + (640*i0)]; 2022-11-23T01:30:35.3334712Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:35.3334800Z auto tmp3 = in_ptr2[i1]; 2022-11-23T01:30:35.3334890Z auto tmp11 = in_ptr3[i1]; 2022-11-23T01:30:35.3334980Z auto tmp13 = in_ptr4[i1]; 2022-11-23T01:30:35.3335114Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3335259Z auto tmp4 = static_cast(1e-05); 2022-11-23T01:30:35.3335347Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:35.3335444Z auto tmp6 = std::sqrt(tmp5); 2022-11-23T01:30:35.3335529Z auto tmp7 = 1 / tmp6; 2022-11-23T01:30:35.3335632Z auto tmp8 = static_cast(1); 2022-11-23T01:30:35.3335748Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.3335838Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:30:35.3335920Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:30:35.3336012Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:35.3336110Z auto tmp15 = tmp14 * (tmp14>0); 2022-11-23T01:30:35.3336212Z out_ptr0[i2 + (64*i1) + (640*i0)] = tmp15; 2022-11-23T01:30:35.3336279Z } 2022-11-23T01:30:35.3336343Z } 2022-11-23T01:30:35.3336406Z } 2022-11-23T01:30:35.3336469Z #pragma omp for 2022-11-23T01:30:35.3336551Z for(long i0=0; i0<1280; i0+=1) 2022-11-23T01:30:35.3336614Z { 2022-11-23T01:30:35.3336677Z { 2022-11-23T01:30:35.3336741Z { 2022-11-23T01:30:35.3336830Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:35.3336930Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3337011Z auto tmp2 = tmp0 <= tmp1; 2022-11-23T01:30:35.3337095Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.3337157Z } 2022-11-23T01:30:35.3337220Z } 2022-11-23T01:30:35.3337278Z } 2022-11-23T01:30:35.3337338Z } 2022-11-23T01:30:35.3337384Z } 2022-11-23T01:30:35.3337463Z ''') 2022-11-23T01:30:35.3337470Z 2022-11-23T01:30:35.3337474Z 2022-11-23T01:30:35.3337561Z async_compile.wait(globals()) 2022-11-23T01:30:35.3337634Z del async_compile 2022-11-23T01:30:35.3337639Z 2022-11-23T01:30:35.3337707Z def call(args): 2022-11-23T01:30:35.3337843Z primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args 2022-11-23T01:30:35.3337912Z args.clear() 2022-11-23T01:30:35.3338127Z buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3338324Z buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3338607Z kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3338679Z del primals_1 2022-11-23T01:30:35.3338746Z del primals_2 2022-11-23T01:30:35.3338861Z return (buf0, primals_3, primals_4, primals_6, buf1, ) 2022-11-23T01:30:35.3338866Z 2022-11-23T01:30:35.3338870Z 2022-11-23T01:30:35.3338943Z if __name__ == "__main__": 2022-11-23T01:30:35.3339053Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3339172Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3339360Z primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3339558Z primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3339750Z primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3339944Z primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3340169Z primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.3340385Z primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3340554Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6])) 2022-11-23T01:30:35.3340560Z 2022-11-23T01:30:35.3340928Z [2022-11-23 01:22:45,190] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xt/cxtjcvxl7vimc3baux72qbnyxsg2i5e5tieiuyc7mlvmp2v6f5ib.py 2022-11-23T01:30:35.3341188Z [2022-11-23 01:22:45,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37 2022-11-23T01:30:35.3341194Z 2022-11-23T01:30:35.3341286Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3341343Z import torch 2022-11-23T01:30:35.3341409Z import random 2022-11-23T01:30:35.3341547Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3341667Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3341672Z 2022-11-23T01:30:35.3341751Z aten = torch.ops.aten 2022-11-23T01:30:35.3341884Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3341975Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3341980Z 2022-11-23T01:30:35.3341984Z 2022-11-23T01:30:35.3342107Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3342309Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3342423Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3342523Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3342623Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.3342721Z const float* __restrict__ in_ptr3, 2022-11-23T01:30:35.3342823Z const float* __restrict__ in_ptr4, 2022-11-23T01:30:35.3342919Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3343004Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:35.3343061Z { 2022-11-23T01:30:35.3343156Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3343215Z { 2022-11-23T01:30:35.3343304Z #pragma omp for collapse(2) 2022-11-23T01:30:35.3343380Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.3343439Z { 2022-11-23T01:30:35.3343512Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:35.3343574Z { 2022-11-23T01:30:35.3343659Z for(long i2=0; i2<32; i2+=1) 2022-11-23T01:30:35.3343721Z { 2022-11-23T01:30:35.3343869Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (256*i1) + (2560*i0)); 2022-11-23T01:30:35.3343994Z auto tmp1 = at::vec::Vectorized(in_ptr1[i1]); 2022-11-23T01:30:35.3344119Z auto tmp3 = at::vec::Vectorized(in_ptr2[i1]); 2022-11-23T01:30:35.3344232Z auto tmp11 = at::vec::Vectorized(in_ptr3[i1]); 2022-11-23T01:30:35.3344356Z auto tmp13 = at::vec::Vectorized(in_ptr4[i1]); 2022-11-23T01:30:35.3344489Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3344694Z auto tmp4 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:30:35.3344782Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:35.3344866Z auto tmp6 = tmp5.sqrt(); 2022-11-23T01:30:35.3344966Z auto tmp7 = tmp6.reciprocal(); 2022-11-23T01:30:35.3345099Z auto tmp8 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.3345176Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.3345265Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:30:35.3345355Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:30:35.3345450Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:35.3345580Z auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0)); 2022-11-23T01:30:35.3345729Z tmp15.store(out_ptr0 + (8*i2) + (256*i1) + (2560*i0)); 2022-11-23T01:30:35.3345792Z } 2022-11-23T01:30:35.3345884Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.3345961Z for(long i2=256; i2<256; i2+=1) 2022-11-23T01:30:35.3346023Z { 2022-11-23T01:30:35.3346125Z auto tmp0 = in_ptr0[i2 + (256*i1) + (2560*i0)]; 2022-11-23T01:30:35.3346212Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:35.3346297Z auto tmp3 = in_ptr2[i1]; 2022-11-23T01:30:35.3346387Z auto tmp11 = in_ptr3[i1]; 2022-11-23T01:30:35.3346471Z auto tmp13 = in_ptr4[i1]; 2022-11-23T01:30:35.3346591Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3346775Z auto tmp4 = static_cast(1e-05); 2022-11-23T01:30:35.3346861Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:35.3346957Z auto tmp6 = std::sqrt(tmp5); 2022-11-23T01:30:35.3347041Z auto tmp7 = 1 / tmp6; 2022-11-23T01:30:35.3347141Z auto tmp8 = static_cast(1); 2022-11-23T01:30:35.3347226Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.3347302Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:30:35.3347390Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:30:35.3347480Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:35.3347574Z auto tmp15 = tmp14 * (tmp14>0); 2022-11-23T01:30:35.3347674Z out_ptr0[i2 + (256*i1) + (2560*i0)] = tmp15; 2022-11-23T01:30:35.3347735Z } 2022-11-23T01:30:35.3347796Z } 2022-11-23T01:30:35.3347846Z } 2022-11-23T01:30:35.3347922Z #pragma omp for 2022-11-23T01:30:35.3348004Z for(long i0=0; i0<7680; i0+=1) 2022-11-23T01:30:35.3348062Z { 2022-11-23T01:30:35.3348122Z { 2022-11-23T01:30:35.3348184Z { 2022-11-23T01:30:35.3348271Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:35.3348359Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3348448Z auto tmp2 = tmp0 <= tmp1; 2022-11-23T01:30:35.3348527Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.3348591Z } 2022-11-23T01:30:35.3348654Z } 2022-11-23T01:30:35.3348715Z } 2022-11-23T01:30:35.3348770Z } 2022-11-23T01:30:35.3348817Z } 2022-11-23T01:30:35.3348893Z ''') 2022-11-23T01:30:35.3348898Z 2022-11-23T01:30:35.3348903Z 2022-11-23T01:30:35.3348991Z async_compile.wait(globals()) 2022-11-23T01:30:35.3349064Z del async_compile 2022-11-23T01:30:35.3349068Z 2022-11-23T01:30:35.3349136Z def call(args): 2022-11-23T01:30:35.3349275Z primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args 2022-11-23T01:30:35.3349344Z args.clear() 2022-11-23T01:30:35.3349554Z buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3349762Z buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3350039Z kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3350112Z del primals_1 2022-11-23T01:30:35.3350180Z del primals_2 2022-11-23T01:30:35.3350295Z return (buf0, primals_3, primals_4, primals_6, buf1, ) 2022-11-23T01:30:35.3350300Z 2022-11-23T01:30:35.3350304Z 2022-11-23T01:30:35.3350383Z if __name__ == "__main__": 2022-11-23T01:30:35.3350495Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3350614Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3350799Z primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3351025Z primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3351221Z primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3351414Z primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3351600Z primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.3351819Z primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3351988Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6])) 2022-11-23T01:30:35.3351994Z 2022-11-23T01:30:35.3352060Z ok (3.232s) 2022-11-23T01:30:35.3352357Z test_bernoulli1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3352701Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3352913Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3353164Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3353445Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3353765Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3354106Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3354431Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3354801Z [2022-11-23 01:22:45,196] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3354894Z 3579 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3354982Z 2 LOAD_METHOD 1 (empty_like) 2022-11-23T01:30:35.3355070Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3355156Z 6 CALL_METHOD 1 2022-11-23T01:30:35.3355244Z 8 STORE_FAST 1 (b) 2022-11-23T01:30:35.3355249Z 2022-11-23T01:30:35.3355340Z 3580 10 LOAD_GLOBAL 2 (aten) 2022-11-23T01:30:35.3355436Z 12 LOAD_METHOD 3 (bernoulli_) 2022-11-23T01:30:35.3355526Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3355612Z 16 CALL_METHOD 1 2022-11-23T01:30:35.3355687Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3355775Z 20 BUILD_TUPLE 2 2022-11-23T01:30:35.3355849Z 22 RETURN_VALUE 2022-11-23T01:30:35.3355907Z 2022-11-23T01:30:35.3355912Z 2022-11-23T01:30:35.3356227Z [2022-11-23 01:22:45,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3579 2022-11-23T01:30:35.3356439Z [2022-11-23 01:22:45,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3356811Z [2022-11-23 01:22:45,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable()] 2022-11-23T01:30:35.3357140Z [2022-11-23 01:22:45,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.3357534Z [2022-11-23 01:22:45,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3357760Z [2022-11-23 01:22:45,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:35.3358068Z [2022-11-23 01:22:45,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3580 2022-11-23T01:30:35.3358280Z [2022-11-23 01:22:45,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3358590Z [2022-11-23 01:22:45,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable()] 2022-11-23T01:30:35.3358845Z [2022-11-23 01:22:45,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)] 2022-11-23T01:30:35.3359168Z [2022-11-23 01:22:45,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()] 2022-11-23T01:30:35.3359401Z [2022-11-23 01:22:45,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.3359668Z [2022-11-23 01:22:45,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3359912Z [2022-11-23 01:22:45,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3360389Z [2022-11-23 01:22:45,205] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3360620Z [2022-11-23 01:22:45,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3360856Z [2022-11-23 01:22:45,205] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3361112Z [2022-11-23 01:22:45,206] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3361359Z [2022-11-23 01:22:45,209] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3361545Z [2022-11-23 01:22:45,209] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3361681Z __compiled_fn_39 .258 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3361772Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3362016Z call_function, empty_like, , (ex_0_,), {} 2022-11-23T01:30:35.3362133Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {} 2022-11-23T01:30:35.3362251Z output, output, output, ((bernoulli_, empty_like),), {} 2022-11-23T01:30:35.3362258Z 2022-11-23T01:30:35.3362580Z [2022-11-23 01:22:45,210] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3362673Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3362765Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3362851Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3362940Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3363025Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3363101Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3363176Z 12 RETURN_VALUE 2022-11-23T01:30:35.3363182Z 2022-11-23T01:30:35.3363240Z 2022-11-23T01:30:35.3363565Z [2022-11-23 01:22:45,210] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3363670Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_39) 2022-11-23T01:30:35.3363762Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3363849Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3363960Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3364036Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3364135Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3364234Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3364320Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3364392Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3364491Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3364575Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3364637Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3364722Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.3364887Z 26 RETURN_VALUE 2022-11-23T01:30:35.3364892Z 2022-11-23T01:30:35.3365006Z 2022-11-23T01:30:35.3365189Z [2022-11-23 01:22:45,211] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3365259Z - 2022-11-23T01:30:35.3365375Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3365429Z { 2022-11-23T01:30:35.3365569Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3365753Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3365872Z 'obj_weakref': None 2022-11-23T01:30:35.3366096Z 'guarded_class': 2022-11-23T01:30:35.3366160Z } 2022-11-23T01:30:35.3366224Z 2022-11-23T01:30:35.3366279Z - 2022-11-23T01:30:35.3366399Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3366462Z { 2022-11-23T01:30:35.3366603Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3366706Z 'code': None, 2022-11-23T01:30:35.3366915Z 'obj_weakref': 2022-11-23T01:30:35.3367171Z 'guarded_class': 2022-11-23T01:30:35.3367235Z } 2022-11-23T01:30:35.3367285Z 2022-11-23T01:30:35.3367353Z - 2022-11-23T01:30:35.3367482Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3367545Z { 2022-11-23T01:30:35.3367676Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3367841Z 'code': ['___check_obj_id(model, 140534431372272)'], 2022-11-23T01:30:35.3367947Z 'obj_weakref': None 2022-11-23T01:30:35.3368173Z 'guarded_class': 2022-11-23T01:30:35.3368231Z } 2022-11-23T01:30:35.3368293Z 2022-11-23T01:30:35.3368361Z - 2022-11-23T01:30:35.3368481Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3368546Z { 2022-11-23T01:30:35.3368669Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3368885Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3368999Z 'obj_weakref': None 2022-11-23T01:30:35.3369220Z 'guarded_class': 2022-11-23T01:30:35.3369280Z } 2022-11-23T01:30:35.3369342Z 2022-11-23T01:30:35.3369405Z - 2022-11-23T01:30:35.3369521Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3369582Z { 2022-11-23T01:30:35.3369698Z 'guard_types': None, 2022-11-23T01:30:35.3369800Z 'code': None, 2022-11-23T01:30:35.3369916Z 'obj_weakref': None 2022-11-23T01:30:35.3370033Z 'guarded_class': None 2022-11-23T01:30:35.3370096Z } 2022-11-23T01:30:35.3370147Z 2022-11-23T01:30:35.3370215Z - 2022-11-23T01:30:35.3370343Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3370404Z { 2022-11-23T01:30:35.3370522Z 'guard_types': None, 2022-11-23T01:30:35.3370666Z 'code': None, 2022-11-23T01:30:35.3370776Z 'obj_weakref': None 2022-11-23T01:30:35.3370898Z 'guarded_class': None 2022-11-23T01:30:35.3370955Z } 2022-11-23T01:30:35.3371019Z 2022-11-23T01:30:35.3371276Z [2022-11-23 01:22:45,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38 2022-11-23T01:30:35.3371646Z [2022-11-23 01:22:46,669] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpj3ishyadoclmedgesbe5zag4u3err2ytczox2zqrg3bxxodxm.py 2022-11-23T01:30:35.3371894Z [2022-11-23 01:22:46,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38 2022-11-23T01:30:35.3371909Z 2022-11-23T01:30:35.3371988Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3372085Z import torch 2022-11-23T01:30:35.3372152Z import random 2022-11-23T01:30:35.3372265Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3372382Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3372387Z 2022-11-23T01:30:35.3372464Z aten = torch.ops.aten 2022-11-23T01:30:35.3372597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3372675Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3372680Z 2022-11-23T01:30:35.3372692Z 2022-11-23T01:30:35.3372812Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3373011Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3373123Z extern "C" void kernel(float* __restrict__ out_ptr0) 2022-11-23T01:30:35.3373183Z { 2022-11-23T01:30:35.3373276Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3373337Z { 2022-11-23T01:30:35.3373401Z #pragma omp for 2022-11-23T01:30:35.3373484Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.3373546Z { 2022-11-23T01:30:35.3373679Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:30:35.3373774Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.3373836Z } 2022-11-23T01:30:35.3373925Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3374001Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:35.3374050Z { 2022-11-23T01:30:35.3374147Z auto tmp0 = static_cast(0); 2022-11-23T01:30:35.3374225Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.3374286Z } 2022-11-23T01:30:35.3374346Z } 2022-11-23T01:30:35.3374402Z } 2022-11-23T01:30:35.3374467Z ''') 2022-11-23T01:30:35.3374471Z 2022-11-23T01:30:35.3374488Z 2022-11-23T01:30:35.3374562Z async_compile.wait(globals()) 2022-11-23T01:30:35.3374632Z del async_compile 2022-11-23T01:30:35.3374636Z 2022-11-23T01:30:35.3374706Z def call(args): 2022-11-23T01:30:35.3374776Z arg0_1, = args 2022-11-23T01:30:35.3374846Z args.clear() 2022-11-23T01:30:35.3375037Z buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3375140Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.3375210Z aten.bernoulli_(buf0, ) 2022-11-23T01:30:35.3375284Z return (buf0, buf0, ) 2022-11-23T01:30:35.3375289Z 2022-11-23T01:30:35.3375293Z 2022-11-23T01:30:35.3375367Z if __name__ == "__main__": 2022-11-23T01:30:35.3375478Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3375596Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3375789Z arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3375892Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3375896Z 2022-11-23T01:30:35.3375960Z ok (1.479s) 2022-11-23T01:30:35.3376259Z test_bernoulli2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:46,674] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3376606Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3376824Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3377072Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3377349Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3377667Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3378008Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3378368Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3378741Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3378837Z 3591 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3378924Z 2 LOAD_METHOD 1 (bernoulli) 2022-11-23T01:30:35.3379014Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3379100Z 6 CALL_METHOD 1 2022-11-23T01:30:35.3379175Z 8 RETURN_VALUE 2022-11-23T01:30:35.3379232Z 2022-11-23T01:30:35.3379238Z 2022-11-23T01:30:35.3379550Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3591 2022-11-23T01:30:35.3379767Z [2022-11-23 01:22:46,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3380077Z [2022-11-23 01:22:46,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable()] 2022-11-23T01:30:35.3380323Z [2022-11-23 01:22:46,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)] 2022-11-23T01:30:35.3380614Z [2022-11-23 01:22:46,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()] 2022-11-23T01:30:35.3380855Z [2022-11-23 01:22:46,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3381235Z [2022-11-23 01:22:46,682] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3381477Z [2022-11-23 01:22:46,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3381712Z [2022-11-23 01:22:46,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3381964Z [2022-11-23 01:22:46,683] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3382209Z [2022-11-23 01:22:46,686] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3382396Z [2022-11-23 01:22:46,686] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3382516Z __compiled_fn_40 .264 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3382604Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3382717Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {} 2022-11-23T01:30:35.3382822Z output, output, output, ((bernoulli,),), {} 2022-11-23T01:30:35.3382827Z 2022-11-23T01:30:35.3383149Z [2022-11-23 01:22:46,686] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3383244Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3383378Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3383463Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3383541Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3383625Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3383709Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3383784Z 12 RETURN_VALUE 2022-11-23T01:30:35.3383790Z 2022-11-23T01:30:35.3383848Z 2022-11-23T01:30:35.3384171Z [2022-11-23 01:22:46,686] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3384274Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_40) 2022-11-23T01:30:35.3384362Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3384473Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3384552Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3384637Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3384724Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3384799Z 12 RETURN_VALUE 2022-11-23T01:30:35.3384804Z 2022-11-23T01:30:35.3384863Z 2022-11-23T01:30:35.3385040Z [2022-11-23 01:22:46,687] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3385097Z - 2022-11-23T01:30:35.3385215Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3385275Z { 2022-11-23T01:30:35.3385415Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3385600Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3385716Z 'obj_weakref': None 2022-11-23T01:30:35.3385939Z 'guarded_class': 2022-11-23T01:30:35.3385993Z } 2022-11-23T01:30:35.3386055Z 2022-11-23T01:30:35.3386124Z - 2022-11-23T01:30:35.3386246Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3386311Z { 2022-11-23T01:30:35.3386449Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3386554Z 'code': None, 2022-11-23T01:30:35.3386754Z 'obj_weakref': 2022-11-23T01:30:35.3387006Z 'guarded_class': 2022-11-23T01:30:35.3387069Z } 2022-11-23T01:30:35.3387133Z 2022-11-23T01:30:35.3387198Z - 2022-11-23T01:30:35.3387323Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3387385Z { 2022-11-23T01:30:35.3387504Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3387673Z 'code': ['___check_obj_id(model, 140534431373280)'], 2022-11-23T01:30:35.3387791Z 'obj_weakref': None 2022-11-23T01:30:35.3388025Z 'guarded_class': 2022-11-23T01:30:35.3388085Z } 2022-11-23T01:30:35.3388151Z 2022-11-23T01:30:35.3388218Z - 2022-11-23T01:30:35.3388325Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3388389Z { 2022-11-23T01:30:35.3388523Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3388741Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3388859Z 'obj_weakref': None 2022-11-23T01:30:35.3389081Z 'guarded_class': 2022-11-23T01:30:35.3389143Z } 2022-11-23T01:30:35.3389194Z 2022-11-23T01:30:35.3389261Z - 2022-11-23T01:30:35.3389386Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3389450Z { 2022-11-23T01:30:35.3389568Z 'guard_types': None, 2022-11-23T01:30:35.3389670Z 'code': None, 2022-11-23T01:30:35.3389816Z 'obj_weakref': None 2022-11-23T01:30:35.3389925Z 'guarded_class': None 2022-11-23T01:30:35.3389990Z } 2022-11-23T01:30:35.3390048Z 2022-11-23T01:30:35.3390304Z [2022-11-23 01:22:46,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39 2022-11-23T01:30:35.3390551Z [2022-11-23 01:22:46,693] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.3390921Z [2022-11-23 01:22:48,275] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceaonecazohd4lnarhk456fnzdosr4lmismkiq7ydpnqobyuvlbq.py 2022-11-23T01:30:35.3391182Z [2022-11-23 01:22:48,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39 2022-11-23T01:30:35.3391214Z 2022-11-23T01:30:35.3391308Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3391364Z import torch 2022-11-23T01:30:35.3391431Z import random 2022-11-23T01:30:35.3391549Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3391668Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3391673Z 2022-11-23T01:30:35.3391748Z aten = torch.ops.aten 2022-11-23T01:30:35.3391883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3391973Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3392121Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.3392139Z 2022-11-23T01:30:35.3392143Z 2022-11-23T01:30:35.3392263Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3392467Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3392580Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:35.3392686Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3392778Z bool* __restrict__ out_ptr0) 2022-11-23T01:30:35.3392836Z { 2022-11-23T01:30:35.3392933Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3392981Z { 2022-11-23T01:30:35.3393056Z #pragma omp for 2022-11-23T01:30:35.3393138Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3393198Z { 2022-11-23T01:30:35.3393257Z { 2022-11-23T01:30:35.3393321Z { 2022-11-23T01:30:35.3393402Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.3393480Z auto tmp5 = in_ptr1[i0]; 2022-11-23T01:30:35.3393582Z auto tmp1 = static_cast(65535); 2022-11-23T01:30:35.3393675Z auto tmp2 = tmp0 ^ tmp1; 2022-11-23T01:30:35.3393779Z auto tmp3 = static_cast(i0); 2022-11-23T01:30:35.3393911Z auto tmp4 = static_cast(normalized_rand_cpu(tmp2, tmp3));; 2022-11-23T01:30:35.3394003Z auto tmp6 = tmp4 < tmp5; 2022-11-23T01:30:35.3394084Z out_ptr0[i0] = tmp6; 2022-11-23T01:30:35.3394135Z } 2022-11-23T01:30:35.3394201Z } 2022-11-23T01:30:35.3394259Z } 2022-11-23T01:30:35.3394324Z } 2022-11-23T01:30:35.3394380Z } 2022-11-23T01:30:35.3394457Z ''') 2022-11-23T01:30:35.3394462Z 2022-11-23T01:30:35.3394466Z 2022-11-23T01:30:35.3394549Z async_compile.wait(globals()) 2022-11-23T01:30:35.3394608Z del async_compile 2022-11-23T01:30:35.3394627Z 2022-11-23T01:30:35.3394684Z def call(args): 2022-11-23T01:30:35.3394749Z arg0_1, = args 2022-11-23T01:30:35.3394819Z args.clear() 2022-11-23T01:30:35.3394949Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.3395134Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3395307Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.3395373Z del arg0_1 2022-11-23T01:30:35.3395431Z return (buf0, ) 2022-11-23T01:30:35.3395436Z 2022-11-23T01:30:35.3395439Z 2022-11-23T01:30:35.3395580Z if __name__ == "__main__": 2022-11-23T01:30:35.3395695Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3395816Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3396008Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.3396195Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3396301Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3396305Z 2022-11-23T01:30:35.3396369Z ok (1.606s) 2022-11-23T01:30:35.3396662Z test_bitwise2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:48,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3396979Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3397224Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3397480Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3397758Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3398074Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3398416Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3398735Z [2022-11-23 01:22:48,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3399111Z [2022-11-23 01:22:48,286] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3399208Z 2738 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3399296Z 2 LOAD_METHOD 1 (bitwise_not) 2022-11-23T01:30:35.3399384Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3399472Z 6 CALL_METHOD 1 2022-11-23T01:30:35.3399477Z 2022-11-23T01:30:35.3399565Z 2739 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3399666Z 10 LOAD_METHOD 2 (bitwise_or) 2022-11-23T01:30:35.3399754Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3399838Z 14 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3399911Z 16 CALL_METHOD 2 2022-11-23T01:30:35.3399930Z 2022-11-23T01:30:35.3400101Z 2740 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3400205Z 20 LOAD_METHOD 3 (bitwise_xor) 2022-11-23T01:30:35.3400294Z 22 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3400381Z 24 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3400466Z 26 CALL_METHOD 2 2022-11-23T01:30:35.3400470Z 2022-11-23T01:30:35.3400560Z 2741 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3400658Z 30 LOAD_METHOD 4 (bitwise_and) 2022-11-23T01:30:35.3400732Z 32 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3400816Z 34 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3400898Z 36 CALL_METHOD 2 2022-11-23T01:30:35.3400903Z 2022-11-23T01:30:35.3400988Z 2737 38 BUILD_TUPLE 4 2022-11-23T01:30:35.3401064Z 40 RETURN_VALUE 2022-11-23T01:30:35.3401122Z 2022-11-23T01:30:35.3401130Z 2022-11-23T01:30:35.3401448Z [2022-11-23 01:22:48,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2738 2022-11-23T01:30:35.3401706Z [2022-11-23 01:22:48,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3402087Z [2022-11-23 01:22:48,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable()] 2022-11-23T01:30:35.3402406Z [2022-11-23 01:22:48,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.3402770Z [2022-11-23 01:22:48,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3403079Z [2022-11-23 01:22:48,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2739 2022-11-23T01:30:35.3403361Z [2022-11-23 01:22:48,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.3403762Z [2022-11-23 01:22:48,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3404117Z [2022-11-23 01:22:48,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3404498Z [2022-11-23 01:22:48,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3405048Z [2022-11-23 01:22:48,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3405368Z [2022-11-23 01:22:48,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2740 2022-11-23T01:30:35.3405644Z [2022-11-23 01:22:48,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3406076Z [2022-11-23 01:22:48,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3406463Z [2022-11-23 01:22:48,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3406873Z [2022-11-23 01:22:48,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3407333Z [2022-11-23 01:22:48,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3407633Z [2022-11-23 01:22:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2741 2022-11-23T01:30:35.3407932Z [2022-11-23 01:22:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3408389Z [2022-11-23 01:22:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3408896Z [2022-11-23 01:22:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3409339Z [2022-11-23 01:22:48,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3409823Z [2022-11-23 01:22:48,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3410132Z [2022-11-23 01:22:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2737 2022-11-23T01:30:35.3410498Z [2022-11-23 01:22:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3410741Z [2022-11-23 01:22:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3411116Z [2022-11-23 01:22:48,299] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3411358Z [2022-11-23 01:22:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3411587Z [2022-11-23 01:22:48,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3411829Z [2022-11-23 01:22:48,302] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3412080Z [2022-11-23 01:22:48,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3412266Z [2022-11-23 01:22:48,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3412400Z __compiled_fn_41 .270 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3412489Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3412574Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3412819Z call_function, bitwise_not, , (ex_0_,), {} 2022-11-23T01:30:35.3413067Z call_function, bitwise_or, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3413317Z call_function, bitwise_xor, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3413556Z call_function, bitwise_and, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3413703Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {} 2022-11-23T01:30:35.3413708Z 2022-11-23T01:30:35.3414037Z [2022-11-23 01:22:48,312] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3414131Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3414221Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3414304Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3414394Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3414477Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3414552Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3414628Z 12 RETURN_VALUE 2022-11-23T01:30:35.3414633Z 2022-11-23T01:30:35.3414692Z 2022-11-23T01:30:35.3415016Z [2022-11-23 01:22:48,312] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3415124Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_41) 2022-11-23T01:30:35.3415211Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3415325Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3415402Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3415479Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3415564Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3415638Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3415722Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3415823Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3415922Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3416007Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3416070Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3416169Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3416285Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3416359Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3416460Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3416547Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3416621Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3416707Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3416788Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.3416863Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.3416950Z 42 BUILD_TUPLE 4 2022-11-23T01:30:35.3417025Z 44 RETURN_VALUE 2022-11-23T01:30:35.3417030Z 2022-11-23T01:30:35.3417087Z 2022-11-23T01:30:35.3417267Z [2022-11-23 01:22:48,313] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3417324Z - 2022-11-23T01:30:35.3417440Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3417505Z { 2022-11-23T01:30:35.3417647Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3417832Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3417952Z 'obj_weakref': None 2022-11-23T01:30:35.3418174Z 'guarded_class': 2022-11-23T01:30:35.3418226Z } 2022-11-23T01:30:35.3418288Z 2022-11-23T01:30:35.3418355Z - 2022-11-23T01:30:35.3418480Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3418538Z { 2022-11-23T01:30:35.3418678Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3418780Z 'code': None, 2022-11-23T01:30:35.3418977Z 'obj_weakref': 2022-11-23T01:30:35.3419231Z 'guarded_class': 2022-11-23T01:30:35.3419295Z } 2022-11-23T01:30:35.3419358Z 2022-11-23T01:30:35.3419424Z - 2022-11-23T01:30:35.3419544Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3419606Z { 2022-11-23T01:30:35.3419735Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3419837Z 'code': None, 2022-11-23T01:30:35.3420045Z 'obj_weakref': 2022-11-23T01:30:35.3420296Z 'guarded_class': 2022-11-23T01:30:35.3420356Z } 2022-11-23T01:30:35.3420418Z 2022-11-23T01:30:35.3420485Z - 2022-11-23T01:30:35.3420603Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3420664Z { 2022-11-23T01:30:35.3420797Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3420963Z 'code': ['___check_obj_id(model, 140534431376160)'], 2022-11-23T01:30:35.3421085Z 'obj_weakref': None 2022-11-23T01:30:35.3421312Z 'guarded_class': 2022-11-23T01:30:35.3421406Z } 2022-11-23T01:30:35.3421458Z 2022-11-23T01:30:35.3421526Z - 2022-11-23T01:30:35.3421643Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3421705Z { 2022-11-23T01:30:35.3421838Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3422054Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3422170Z 'obj_weakref': None 2022-11-23T01:30:35.3422378Z 'guarded_class': 2022-11-23T01:30:35.3422438Z } 2022-11-23T01:30:35.3422499Z 2022-11-23T01:30:35.3422566Z - 2022-11-23T01:30:35.3422698Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3422757Z { 2022-11-23T01:30:35.3422903Z 'guard_types': None, 2022-11-23T01:30:35.3422996Z 'code': None, 2022-11-23T01:30:35.3423110Z 'obj_weakref': None 2022-11-23T01:30:35.3423231Z 'guarded_class': None 2022-11-23T01:30:35.3423295Z } 2022-11-23T01:30:35.3423355Z 2022-11-23T01:30:35.3423611Z [2022-11-23 01:22:48,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40 2022-11-23T01:30:35.3423979Z [2022-11-23 01:22:50,380] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rl/crlrsypo4wbokq4ahu5fah7wn3tvkwpg57snueeoqhyjfwgqse6s.py 2022-11-23T01:30:35.3424242Z [2022-11-23 01:22:50,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40 2022-11-23T01:30:35.3424248Z 2022-11-23T01:30:35.3424328Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3424395Z import torch 2022-11-23T01:30:35.3424462Z import random 2022-11-23T01:30:35.3424579Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3424698Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3424703Z 2022-11-23T01:30:35.3424780Z aten = torch.ops.aten 2022-11-23T01:30:35.3424911Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3424992Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3425011Z 2022-11-23T01:30:35.3425016Z 2022-11-23T01:30:35.3425137Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3425339Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3425456Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.3425557Z const bool* __restrict__ in_ptr1, 2022-11-23T01:30:35.3425652Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:35.3425744Z bool* __restrict__ out_ptr1, 2022-11-23T01:30:35.3425832Z bool* __restrict__ out_ptr2, 2022-11-23T01:30:35.3425913Z bool* __restrict__ out_ptr3) 2022-11-23T01:30:35.3425972Z { 2022-11-23T01:30:35.3426067Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3426131Z { 2022-11-23T01:30:35.3426202Z #pragma omp for 2022-11-23T01:30:35.3426285Z for(long i0=0; i0<40; i0+=1) 2022-11-23T01:30:35.3426346Z { 2022-11-23T01:30:35.3426397Z { 2022-11-23T01:30:35.3426463Z { 2022-11-23T01:30:35.3426555Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3426643Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.3426732Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:35.3426817Z auto tmp3 = tmp0 | tmp2; 2022-11-23T01:30:35.3426905Z auto tmp4 = tmp0 ^ tmp2; 2022-11-23T01:30:35.3426980Z auto tmp5 = tmp0 & tmp2; 2022-11-23T01:30:35.3427061Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.3427146Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.3427232Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:35.3427314Z out_ptr3[i0] = tmp5; 2022-11-23T01:30:35.3427416Z } 2022-11-23T01:30:35.3427480Z } 2022-11-23T01:30:35.3427530Z } 2022-11-23T01:30:35.3427592Z } 2022-11-23T01:30:35.3427650Z } 2022-11-23T01:30:35.3427726Z ''') 2022-11-23T01:30:35.3427731Z 2022-11-23T01:30:35.3427735Z 2022-11-23T01:30:35.3427824Z async_compile.wait(globals()) 2022-11-23T01:30:35.3427901Z del async_compile 2022-11-23T01:30:35.3427906Z 2022-11-23T01:30:35.3427974Z def call(args): 2022-11-23T01:30:35.3428035Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3428107Z args.clear() 2022-11-23T01:30:35.3428301Z buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3428492Z buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3428676Z buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3428894Z buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3429135Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:35.3429203Z del arg0_1 2022-11-23T01:30:35.3429258Z del arg1_1 2022-11-23T01:30:35.3429346Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:35.3429351Z 2022-11-23T01:30:35.3429355Z 2022-11-23T01:30:35.3429432Z if __name__ == "__main__": 2022-11-23T01:30:35.3429545Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3429668Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3429855Z arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3430042Z arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3430147Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3430163Z 2022-11-23T01:30:35.3430217Z ok (2.105s) 2022-11-23T01:30:35.3430526Z test_bitwise_cpu (__main__.CpuTests) ... [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3430842Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3431060Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3431312Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3431588Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3431908Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3432261Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3432585Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3432963Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3433047Z 2720 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3433148Z 2 LOAD_METHOD 1 (bitwise_not) 2022-11-23T01:30:35.3433237Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3433325Z 6 CALL_METHOD 1 2022-11-23T01:30:35.3433330Z 2022-11-23T01:30:35.3433425Z 2721 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3433523Z 10 LOAD_METHOD 2 (bitwise_or) 2022-11-23T01:30:35.3433641Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3433717Z 14 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3433806Z 16 CALL_METHOD 2 2022-11-23T01:30:35.3433811Z 2022-11-23T01:30:35.3433903Z 2722 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3434003Z 20 LOAD_METHOD 3 (bitwise_xor) 2022-11-23T01:30:35.3434093Z 22 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3434179Z 24 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3434264Z 26 CALL_METHOD 2 2022-11-23T01:30:35.3434268Z 2022-11-23T01:30:35.3434360Z 2723 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3434447Z 30 LOAD_METHOD 4 (bitwise_and) 2022-11-23T01:30:35.3434561Z 32 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3434646Z 34 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3434732Z 36 CALL_METHOD 2 2022-11-23T01:30:35.3434739Z 2022-11-23T01:30:35.3434826Z 2719 38 BUILD_TUPLE 4 2022-11-23T01:30:35.3434902Z 40 RETURN_VALUE 2022-11-23T01:30:35.3434958Z 2022-11-23T01:30:35.3434962Z 2022-11-23T01:30:35.3435279Z [2022-11-23 01:22:50,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2720 2022-11-23T01:30:35.3435487Z [2022-11-23 01:22:50,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3435862Z [2022-11-23 01:22:50,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable()] 2022-11-23T01:30:35.3436195Z [2022-11-23 01:22:50,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.3436563Z [2022-11-23 01:22:50,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3436876Z [2022-11-23 01:22:50,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2721 2022-11-23T01:30:35.3437120Z [2022-11-23 01:22:50,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.3437522Z [2022-11-23 01:22:50,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3437879Z [2022-11-23 01:22:50,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3438270Z [2022-11-23 01:22:50,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3438691Z [2022-11-23 01:22:50,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3439003Z [2022-11-23 01:22:50,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2722 2022-11-23T01:30:35.3439275Z [2022-11-23 01:22:50,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3439708Z [2022-11-23 01:22:50,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3440210Z [2022-11-23 01:22:50,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3440629Z [2022-11-23 01:22:50,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3441084Z [2022-11-23 01:22:50,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3441395Z [2022-11-23 01:22:50,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2723 2022-11-23T01:30:35.3441730Z [2022-11-23 01:22:50,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3442192Z [2022-11-23 01:22:50,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3442609Z [2022-11-23 01:22:50,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3443048Z [2022-11-23 01:22:50,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3443534Z [2022-11-23 01:22:50,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3443844Z [2022-11-23 01:22:50,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2719 2022-11-23T01:30:35.3444169Z [2022-11-23 01:22:50,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3444418Z [2022-11-23 01:22:50,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3444922Z [2022-11-23 01:22:50,392] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3445171Z [2022-11-23 01:22:50,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3445398Z [2022-11-23 01:22:50,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3445650Z [2022-11-23 01:22:50,393] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3445901Z [2022-11-23 01:22:50,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3446087Z [2022-11-23 01:22:50,397] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3446221Z __compiled_fn_42 .276 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3446310Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3446397Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3446648Z call_function, bitwise_not, , (ex_0_,), {} 2022-11-23T01:30:35.3446887Z call_function, bitwise_or, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3447256Z call_function, bitwise_xor, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3447610Z call_function, bitwise_and, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3447829Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {} 2022-11-23T01:30:35.3447836Z 2022-11-23T01:30:35.3448177Z [2022-11-23 01:22:50,398] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3448273Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3448364Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3448449Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3448540Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3448666Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3448756Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3448835Z 12 RETURN_VALUE 2022-11-23T01:30:35.3448843Z 2022-11-23T01:30:35.3448903Z 2022-11-23T01:30:35.3449228Z [2022-11-23 01:22:50,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3449334Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_42) 2022-11-23T01:30:35.3449423Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3449529Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3449600Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3449690Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3449778Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3449852Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3449939Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3450055Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3450155Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3450244Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3450308Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3450407Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3450493Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3450565Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3450666Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3450753Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3450830Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3450914Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3450999Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.3451071Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.3451160Z 42 BUILD_TUPLE 4 2022-11-23T01:30:35.3451239Z 44 RETURN_VALUE 2022-11-23T01:30:35.3451244Z 2022-11-23T01:30:35.3451306Z 2022-11-23T01:30:35.3451495Z [2022-11-23 01:22:50,399] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3451553Z - 2022-11-23T01:30:35.3451673Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3451737Z { 2022-11-23T01:30:35.3451876Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3452061Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3452179Z 'obj_weakref': None 2022-11-23T01:30:35.3452406Z 'guarded_class': 2022-11-23T01:30:35.3452468Z } 2022-11-23T01:30:35.3452518Z 2022-11-23T01:30:35.3452586Z - 2022-11-23T01:30:35.3452710Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3452774Z { 2022-11-23T01:30:35.3452920Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3453027Z 'code': None, 2022-11-23T01:30:35.3453259Z 'obj_weakref': 2022-11-23T01:30:35.3453514Z 'guarded_class': 2022-11-23T01:30:35.3453577Z } 2022-11-23T01:30:35.3453642Z 2022-11-23T01:30:35.3453713Z - 2022-11-23T01:30:35.3453833Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3453899Z { 2022-11-23T01:30:35.3454028Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3454137Z 'code': None, 2022-11-23T01:30:35.3454346Z 'obj_weakref': 2022-11-23T01:30:35.3454593Z 'guarded_class': 2022-11-23T01:30:35.3454693Z } 2022-11-23T01:30:35.3454755Z 2022-11-23T01:30:35.3454823Z - 2022-11-23T01:30:35.3454954Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3455006Z { 2022-11-23T01:30:35.3455141Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3455308Z 'code': ['___check_obj_id(model, 140534432600208)'], 2022-11-23T01:30:35.3455425Z 'obj_weakref': None 2022-11-23T01:30:35.3455657Z 'guarded_class': 2022-11-23T01:30:35.3455721Z } 2022-11-23T01:30:35.3455781Z 2022-11-23T01:30:35.3455835Z - 2022-11-23T01:30:35.3455956Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3456018Z { 2022-11-23T01:30:35.3456152Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3456433Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3456558Z 'obj_weakref': None 2022-11-23T01:30:35.3456782Z 'guarded_class': 2022-11-23T01:30:35.3456836Z } 2022-11-23T01:30:35.3456897Z 2022-11-23T01:30:35.3456965Z - 2022-11-23T01:30:35.3457095Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3457158Z { 2022-11-23T01:30:35.3457274Z 'guard_types': None, 2022-11-23T01:30:35.3457377Z 'code': None, 2022-11-23T01:30:35.3457482Z 'obj_weakref': None 2022-11-23T01:30:35.3457600Z 'guarded_class': None 2022-11-23T01:30:35.3457663Z } 2022-11-23T01:30:35.3457725Z 2022-11-23T01:30:35.3457986Z [2022-11-23 01:22:50,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41 2022-11-23T01:30:35.3458350Z [2022-11-23 01:22:51,837] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6b/c6bvrsvsggn5jl7ojg4obl7z2xlohacvozq4yk3ic5gvverobrrq.py 2022-11-23T01:30:35.3458614Z [2022-11-23 01:22:51,837] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41 2022-11-23T01:30:35.3458622Z 2022-11-23T01:30:35.3458713Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3458783Z import torch 2022-11-23T01:30:35.3458839Z import random 2022-11-23T01:30:35.3458952Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3459068Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3459073Z 2022-11-23T01:30:35.3459148Z aten = torch.ops.aten 2022-11-23T01:30:35.3459280Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3459370Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3459375Z 2022-11-23T01:30:35.3459379Z 2022-11-23T01:30:35.3459508Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3459701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3459817Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:35.3459915Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:35.3460043Z int* __restrict__ out_ptr0, 2022-11-23T01:30:35.3460137Z int* __restrict__ out_ptr1, 2022-11-23T01:30:35.3460226Z int* __restrict__ out_ptr2, 2022-11-23T01:30:35.3460314Z int* __restrict__ out_ptr3) 2022-11-23T01:30:35.3460375Z { 2022-11-23T01:30:35.3460461Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3460525Z { 2022-11-23T01:30:35.3460600Z #pragma omp for 2022-11-23T01:30:35.3460680Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.3460741Z { 2022-11-23T01:30:35.3460804Z { 2022-11-23T01:30:35.3460856Z { 2022-11-23T01:30:35.3460945Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3461034Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.3461145Z auto tmp1 = ~tmp0; 2022-11-23T01:30:35.3461233Z auto tmp3 = tmp0 | tmp2; 2022-11-23T01:30:35.3461322Z auto tmp4 = tmp0 ^ tmp2; 2022-11-23T01:30:35.3461408Z auto tmp5 = tmp0 & tmp2; 2022-11-23T01:30:35.3461484Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.3461593Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.3461710Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:35.3461825Z out_ptr3[i0] = tmp5; 2022-11-23T01:30:35.3461914Z } 2022-11-23T01:30:35.3461993Z } 2022-11-23T01:30:35.3462087Z } 2022-11-23T01:30:35.3462137Z } 2022-11-23T01:30:35.3462199Z } 2022-11-23T01:30:35.3462317Z ''') 2022-11-23T01:30:35.3462324Z 2022-11-23T01:30:35.3462331Z 2022-11-23T01:30:35.3462451Z async_compile.wait(globals()) 2022-11-23T01:30:35.3462525Z del async_compile 2022-11-23T01:30:35.3462529Z 2022-11-23T01:30:35.3462599Z def call(args): 2022-11-23T01:30:35.3462678Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3462738Z args.clear() 2022-11-23T01:30:35.3462962Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.3463154Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.3463373Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.3463559Z buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.3463790Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:35.3463861Z del arg0_1 2022-11-23T01:30:35.3463928Z del arg1_1 2022-11-23T01:30:35.3464002Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:35.3464007Z 2022-11-23T01:30:35.3464026Z 2022-11-23T01:30:35.3464089Z if __name__ == "__main__": 2022-11-23T01:30:35.3464203Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3464327Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3464516Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.3464699Z arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.3464813Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3464818Z 2022-11-23T01:30:35.3464882Z ok (1.456s) 2022-11-23T01:30:35.3465169Z test_bmm1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:51,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3465484Z [2022-11-23 01:22:51,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3465698Z [2022-11-23 01:22:51,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3465949Z [2022-11-23 01:22:51,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3466269Z [2022-11-23 01:22:51,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3466588Z [2022-11-23 01:22:51,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3466932Z [2022-11-23 01:22:51,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3467258Z [2022-11-23 01:22:51,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3467633Z [2022-11-23 01:22:51,843] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3467760Z 1369 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3467839Z 2 LOAD_METHOD 1 (bmm) 2022-11-23T01:30:35.3467933Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3468023Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3468112Z 8 CALL_METHOD 2 2022-11-23T01:30:35.3468117Z 2022-11-23T01:30:35.3468211Z 1370 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3468300Z 12 LOAD_METHOD 1 (bmm) 2022-11-23T01:30:35.3468388Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3468477Z 16 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3468538Z 18 BINARY_ADD 2022-11-23T01:30:35.3468624Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3468711Z 22 LOAD_CONST 2 (2) 2022-11-23T01:30:35.3468783Z 24 BINARY_ADD 2022-11-23T01:30:35.3468870Z 26 CALL_METHOD 2 2022-11-23T01:30:35.3468957Z 28 LOAD_CONST 3 (3) 2022-11-23T01:30:35.3469027Z 30 BINARY_ADD 2022-11-23T01:30:35.3469035Z 2022-11-23T01:30:35.3469110Z 1368 32 BUILD_TUPLE 2 2022-11-23T01:30:35.3469184Z 34 RETURN_VALUE 2022-11-23T01:30:35.3469245Z 2022-11-23T01:30:35.3469249Z 2022-11-23T01:30:35.3469570Z [2022-11-23 01:22:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369 2022-11-23T01:30:35.3469792Z [2022-11-23 01:22:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3470151Z [2022-11-23 01:22:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable()] 2022-11-23T01:30:35.3470468Z [2022-11-23 01:22:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.3470819Z [2022-11-23 01:22:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3471203Z [2022-11-23 01:22:51,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3471549Z [2022-11-23 01:22:51,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370 2022-11-23T01:30:35.3471817Z [2022-11-23 01:22:51,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.3472264Z [2022-11-23 01:22:51,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3472709Z [2022-11-23 01:22:51,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3473090Z [2022-11-23 01:22:51,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3473514Z [2022-11-23 01:22:51,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3473888Z [2022-11-23 01:22:51,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3474296Z [2022-11-23 01:22:51,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3474781Z [2022-11-23 01:22:51,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3475195Z [2022-11-23 01:22:51,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3475461Z [2022-11-23 01:22:51,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3475772Z [2022-11-23 01:22:51,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3476086Z [2022-11-23 01:22:51,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368 2022-11-23T01:30:35.3476357Z [2022-11-23 01:22:51,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3476589Z [2022-11-23 01:22:51,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3476972Z [2022-11-23 01:22:51,849] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3477212Z [2022-11-23 01:22:51,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3477449Z [2022-11-23 01:22:51,849] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3477703Z [2022-11-23 01:22:51,850] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3477952Z [2022-11-23 01:22:51,855] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3478145Z [2022-11-23 01:22:51,855] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3478281Z __compiled_fn_43 .282 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3478370Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3478442Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3478676Z call_function, bmm, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3478847Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.3479021Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:30:35.3479246Z call_function, bmm_1, , (add, add_1), {} 2022-11-23T01:30:35.3479420Z call_function, add_2, , (bmm_1, 3), {} 2022-11-23T01:30:35.3479526Z output, output, output, ((bmm, add_2),), {} 2022-11-23T01:30:35.3479533Z 2022-11-23T01:30:35.3479905Z [2022-11-23 01:22:51,855] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3480081Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3480161Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3480247Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3480338Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3480425Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3480518Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3480593Z 12 RETURN_VALUE 2022-11-23T01:30:35.3480598Z 2022-11-23T01:30:35.3480660Z 2022-11-23T01:30:35.3480977Z [2022-11-23 01:22:51,855] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3481132Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_43) 2022-11-23T01:30:35.3481224Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3481313Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3481391Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3481479Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3481567Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3481630Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3481719Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3481820Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3481922Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3482010Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3482088Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3482184Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3482275Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3482337Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3482426Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.3482500Z 32 RETURN_VALUE 2022-11-23T01:30:35.3482504Z 2022-11-23T01:30:35.3482565Z 2022-11-23T01:30:35.3482746Z [2022-11-23 01:22:51,856] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3482815Z - 2022-11-23T01:30:35.3482933Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3482984Z { 2022-11-23T01:30:35.3483122Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3483309Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3483428Z 'obj_weakref': None 2022-11-23T01:30:35.3483654Z 'guarded_class': 2022-11-23T01:30:35.3483717Z } 2022-11-23T01:30:35.3483784Z 2022-11-23T01:30:35.3483840Z - 2022-11-23T01:30:35.3483964Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3484027Z { 2022-11-23T01:30:35.3484171Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3484276Z 'code': None, 2022-11-23T01:30:35.3484491Z 'obj_weakref': 2022-11-23T01:30:35.3484864Z 'guarded_class': 2022-11-23T01:30:35.3484918Z } 2022-11-23T01:30:35.3484989Z 2022-11-23T01:30:35.3485060Z - 2022-11-23T01:30:35.3485182Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3485246Z { 2022-11-23T01:30:35.3485388Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3485493Z 'code': None, 2022-11-23T01:30:35.3485688Z 'obj_weakref': 2022-11-23T01:30:35.3485940Z 'guarded_class': 2022-11-23T01:30:35.3486005Z } 2022-11-23T01:30:35.3486151Z 2022-11-23T01:30:35.3486224Z - 2022-11-23T01:30:35.3486356Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3486420Z { 2022-11-23T01:30:35.3486540Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3486706Z 'code': ['___check_obj_id(model, 140534432607984)'], 2022-11-23T01:30:35.3486827Z 'obj_weakref': None 2022-11-23T01:30:35.3487058Z 'guarded_class': 2022-11-23T01:30:35.3487122Z } 2022-11-23T01:30:35.3487185Z 2022-11-23T01:30:35.3487254Z - 2022-11-23T01:30:35.3487362Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3487424Z { 2022-11-23T01:30:35.3487564Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3487822Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3487940Z 'obj_weakref': None 2022-11-23T01:30:35.3488161Z 'guarded_class': 2022-11-23T01:30:35.3488222Z } 2022-11-23T01:30:35.3488272Z 2022-11-23T01:30:35.3488343Z - 2022-11-23T01:30:35.3488475Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3488540Z { 2022-11-23T01:30:35.3488660Z 'guard_types': None, 2022-11-23T01:30:35.3488765Z 'code': None, 2022-11-23T01:30:35.3488884Z 'obj_weakref': None 2022-11-23T01:30:35.3488991Z 'guarded_class': None 2022-11-23T01:30:35.3489055Z } 2022-11-23T01:30:35.3489118Z 2022-11-23T01:30:35.3489378Z [2022-11-23 01:22:51,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42 2022-11-23T01:30:35.3489755Z [2022-11-23 01:22:53,347] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6g/c6g65fofliyjuya7mdtksem54mkp4s6xq2hiitwxwhllk3lbngwz.py 2022-11-23T01:30:35.3490022Z [2022-11-23 01:22:53,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42 2022-11-23T01:30:35.3490257Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3490567Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3490777Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3491029Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3491305Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3491636Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3491981Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3492303Z [2022-11-23 01:22:53,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3492685Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3492782Z 1369 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3492874Z 2 LOAD_METHOD 1 (bmm) 2022-11-23T01:30:35.3492955Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3493044Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3493170Z 8 CALL_METHOD 2 2022-11-23T01:30:35.3493181Z 2022-11-23T01:30:35.3493273Z 1370 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3493364Z 12 LOAD_METHOD 1 (bmm) 2022-11-23T01:30:35.3493450Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3493537Z 16 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3493610Z 18 BINARY_ADD 2022-11-23T01:30:35.3493682Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3493767Z 22 LOAD_CONST 2 (2) 2022-11-23T01:30:35.3493837Z 24 BINARY_ADD 2022-11-23T01:30:35.3493923Z 26 CALL_METHOD 2 2022-11-23T01:30:35.3494010Z 28 LOAD_CONST 3 (3) 2022-11-23T01:30:35.3494159Z 30 BINARY_ADD 2022-11-23T01:30:35.3494165Z 2022-11-23T01:30:35.3494251Z 1368 32 BUILD_TUPLE 2 2022-11-23T01:30:35.3494314Z 34 RETURN_VALUE 2022-11-23T01:30:35.3494377Z 2022-11-23T01:30:35.3494381Z 2022-11-23T01:30:35.3494697Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369 2022-11-23T01:30:35.3494915Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3495283Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable()] 2022-11-23T01:30:35.3495602Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.3495947Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3496329Z [2022-11-23 01:22:53,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3496645Z [2022-11-23 01:22:53,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370 2022-11-23T01:30:35.3496890Z [2022-11-23 01:22:53,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.3497281Z [2022-11-23 01:22:53,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3497616Z [2022-11-23 01:22:53,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3497998Z [2022-11-23 01:22:53,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3498422Z [2022-11-23 01:22:53,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3498798Z [2022-11-23 01:22:53,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3499198Z [2022-11-23 01:22:53,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3499682Z [2022-11-23 01:22:53,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3500094Z [2022-11-23 01:22:53,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3500361Z [2022-11-23 01:22:53,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3500670Z [2022-11-23 01:22:53,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3500983Z [2022-11-23 01:22:53,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368 2022-11-23T01:30:35.3501287Z [2022-11-23 01:22:53,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3501533Z [2022-11-23 01:22:53,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3501913Z [2022-11-23 01:22:53,358] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3502145Z [2022-11-23 01:22:53,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3502380Z [2022-11-23 01:22:53,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3502632Z [2022-11-23 01:22:53,359] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3502877Z [2022-11-23 01:22:53,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3503067Z [2022-11-23 01:22:53,365] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3503200Z __compiled_fn_44 .288 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3503290Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3503377Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3503593Z call_function, bmm, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3503766Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.3503938Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:30:35.3504164Z call_function, bmm_1, , (add, add_1), {} 2022-11-23T01:30:35.3504333Z call_function, add_2, , (bmm_1, 3), {} 2022-11-23T01:30:35.3504434Z output, output, output, ((bmm, add_2),), {} 2022-11-23T01:30:35.3504439Z 2022-11-23T01:30:35.3504772Z [2022-11-23 01:22:53,366] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3504871Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3504962Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3505035Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3505125Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3505208Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3505298Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3505377Z 12 RETURN_VALUE 2022-11-23T01:30:35.3505382Z 2022-11-23T01:30:35.3505442Z 2022-11-23T01:30:35.3505769Z [2022-11-23 01:22:53,366] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3505863Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_44) 2022-11-23T01:30:35.3505954Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3506042Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3506118Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3506239Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3506327Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3506401Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3506475Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3506576Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3506675Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3506765Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3506842Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3506941Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3507026Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3507088Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3507207Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.3507280Z 32 RETURN_VALUE 2022-11-23T01:30:35.3507285Z 2022-11-23T01:30:35.3507344Z 2022-11-23T01:30:35.3507533Z [2022-11-23 01:22:53,366] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3507605Z - 2022-11-23T01:30:35.3507723Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3507787Z { 2022-11-23T01:30:35.3507913Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3508099Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3508216Z 'obj_weakref': None 2022-11-23T01:30:35.3508439Z 'guarded_class': 2022-11-23T01:30:35.3508502Z } 2022-11-23T01:30:35.3508564Z 2022-11-23T01:30:35.3508634Z - 2022-11-23T01:30:35.3508743Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3508804Z { 2022-11-23T01:30:35.3508946Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3509052Z 'code': None, 2022-11-23T01:30:35.3509263Z 'obj_weakref': 2022-11-23T01:30:35.3509514Z 'guarded_class': 2022-11-23T01:30:35.3509577Z } 2022-11-23T01:30:35.3509626Z 2022-11-23T01:30:35.3509695Z - 2022-11-23T01:30:35.3509814Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3509879Z { 2022-11-23T01:30:35.3510022Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3510128Z 'code': None, 2022-11-23T01:30:35.3510339Z 'obj_weakref': 2022-11-23T01:30:35.3510571Z 'guarded_class': 2022-11-23T01:30:35.3510640Z } 2022-11-23T01:30:35.3510701Z 2022-11-23T01:30:35.3510769Z - 2022-11-23T01:30:35.3510896Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3511021Z { 2022-11-23T01:30:35.3511154Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3511309Z 'code': ['___check_obj_id(model, 140534432607984)'], 2022-11-23T01:30:35.3511425Z 'obj_weakref': None 2022-11-23T01:30:35.3511655Z 'guarded_class': 2022-11-23T01:30:35.3511721Z } 2022-11-23T01:30:35.3511783Z 2022-11-23T01:30:35.3511850Z - 2022-11-23T01:30:35.3511971Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3512020Z { 2022-11-23T01:30:35.3512157Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3512371Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3512491Z 'obj_weakref': None 2022-11-23T01:30:35.3512708Z 'guarded_class': 2022-11-23T01:30:35.3512804Z } 2022-11-23T01:30:35.3512868Z 2022-11-23T01:30:35.3512924Z - 2022-11-23T01:30:35.3513055Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3513118Z { 2022-11-23T01:30:35.3513237Z 'guard_types': None, 2022-11-23T01:30:35.3513341Z 'code': None, 2022-11-23T01:30:35.3513455Z 'obj_weakref': None 2022-11-23T01:30:35.3513561Z 'guarded_class': None 2022-11-23T01:30:35.3513622Z } 2022-11-23T01:30:35.3513684Z 2022-11-23T01:30:35.3513943Z [2022-11-23 01:22:53,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43 2022-11-23T01:30:35.3514305Z [2022-11-23 01:22:54,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ly/clybachwkc3f3wlrcy4j4262dpwuebhsdcys33ieua6uxl35qg4m.py 2022-11-23T01:30:35.3514606Z [2022-11-23 01:22:54,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43 2022-11-23T01:30:35.3514613Z 2022-11-23T01:30:35.3514708Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3514775Z import torch 2022-11-23T01:30:35.3514831Z import random 2022-11-23T01:30:35.3514946Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3515073Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3515078Z 2022-11-23T01:30:35.3515156Z aten = torch.ops.aten 2022-11-23T01:30:35.3515289Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3515381Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3515385Z 2022-11-23T01:30:35.3515390Z 2022-11-23T01:30:35.3515522Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3515724Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3515832Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3515935Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3516034Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3516130Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3516191Z { 2022-11-23T01:30:35.3516289Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3516383Z { 2022-11-23T01:30:35.3516446Z #pragma omp for 2022-11-23T01:30:35.3516529Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.3516590Z { 2022-11-23T01:30:35.3516742Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.3516874Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.3516959Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3517049Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.3517110Z } 2022-11-23T01:30:35.3517194Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3517276Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:35.3517339Z { 2022-11-23T01:30:35.3517426Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3517522Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.3517607Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3517674Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.3517734Z } 2022-11-23T01:30:35.3517807Z #pragma omp for 2022-11-23T01:30:35.3517886Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.3517947Z { 2022-11-23T01:30:35.3518077Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.3518206Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.3518288Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3518365Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.3518429Z } 2022-11-23T01:30:35.3518523Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3518603Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:35.3518664Z { 2022-11-23T01:30:35.3518819Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.3518918Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.3518988Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3519067Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.3519129Z } 2022-11-23T01:30:35.3519193Z } 2022-11-23T01:30:35.3519253Z } 2022-11-23T01:30:35.3519332Z ''') 2022-11-23T01:30:35.3519337Z 2022-11-23T01:30:35.3519342Z 2022-11-23T01:30:35.3519471Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.3519665Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3519784Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.3519847Z { 2022-11-23T01:30:35.3519945Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3520132Z { 2022-11-23T01:30:35.3520210Z #pragma omp for 2022-11-23T01:30:35.3520293Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.3520343Z { 2022-11-23T01:30:35.3520482Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.3520616Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:35.3520699Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3520797Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.3520861Z } 2022-11-23T01:30:35.3520956Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3521025Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:35.3521089Z { 2022-11-23T01:30:35.3521180Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.3521278Z auto tmp1 = static_cast(3); 2022-11-23T01:30:35.3521360Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3521442Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.3521505Z } 2022-11-23T01:30:35.3521553Z } 2022-11-23T01:30:35.3521613Z } 2022-11-23T01:30:35.3521699Z ''') 2022-11-23T01:30:35.3521705Z 2022-11-23T01:30:35.3521712Z 2022-11-23T01:30:35.3521801Z async_compile.wait(globals()) 2022-11-23T01:30:35.3521874Z del async_compile 2022-11-23T01:30:35.3521878Z 2022-11-23T01:30:35.3521980Z def call(args): 2022-11-23T01:30:35.3522054Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3522112Z args.clear() 2022-11-23T01:30:35.3522320Z buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3522416Z aten.bmm.out(arg0_1, arg1_1, out=buf0) 2022-11-23T01:30:35.3522614Z buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3522812Z buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3523005Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.3523076Z del arg0_1 2022-11-23T01:30:35.3523141Z del arg1_1 2022-11-23T01:30:35.3523328Z buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3523420Z aten.bmm.out(buf1, buf2, out=buf3) 2022-11-23T01:30:35.3523486Z del buf1 2022-11-23T01:30:35.3523549Z del buf2 2022-11-23T01:30:35.3523633Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:30:35.3523734Z kernel_cpp_1(c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.3523796Z return (buf0, buf4, ) 2022-11-23T01:30:35.3523812Z 2022-11-23T01:30:35.3523816Z 2022-11-23T01:30:35.3523878Z if __name__ == "__main__": 2022-11-23T01:30:35.3523990Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3524110Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3524313Z arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3524513Z arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3524628Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3524633Z 2022-11-23T01:30:35.3524678Z 2022-11-23T01:30:35.3524889Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3524960Z import torch 2022-11-23T01:30:35.3525016Z import random 2022-11-23T01:30:35.3525130Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3525251Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3525255Z 2022-11-23T01:30:35.3525336Z aten = torch.ops.aten 2022-11-23T01:30:35.3525471Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3525564Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3525569Z 2022-11-23T01:30:35.3525573Z 2022-11-23T01:30:35.3525707Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3525916Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3526089Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3526192Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3526293Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3526388Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3526450Z { 2022-11-23T01:30:35.3526549Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3526611Z { 2022-11-23T01:30:35.3526673Z #pragma omp for 2022-11-23T01:30:35.3526754Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.3526818Z { 2022-11-23T01:30:35.3526953Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.3527085Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.3527170Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3527264Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.3527313Z } 2022-11-23T01:30:35.3527410Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3527494Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:35.3527559Z { 2022-11-23T01:30:35.3527643Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3527741Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.3527822Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3527888Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.3527955Z } 2022-11-23T01:30:35.3528028Z #pragma omp for 2022-11-23T01:30:35.3528109Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:35.3528171Z { 2022-11-23T01:30:35.3528303Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.3528433Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.3528503Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3528591Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.3528651Z } 2022-11-23T01:30:35.3528745Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3528826Z for(long i0=80; i0<80; i0+=1) 2022-11-23T01:30:35.3528887Z { 2022-11-23T01:30:35.3528971Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.3529056Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.3529138Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3529218Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.3529280Z } 2022-11-23T01:30:35.3529340Z } 2022-11-23T01:30:35.3529400Z } 2022-11-23T01:30:35.3529479Z ''') 2022-11-23T01:30:35.3529484Z 2022-11-23T01:30:35.3529489Z 2022-11-23T01:30:35.3529610Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.3529816Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3529931Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.3529990Z { 2022-11-23T01:30:35.3530087Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3530150Z { 2022-11-23T01:30:35.3530224Z #pragma omp for 2022-11-23T01:30:35.3530293Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:30:35.3530354Z { 2022-11-23T01:30:35.3530541Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.3530674Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:35.3530757Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3530853Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.3530916Z } 2022-11-23T01:30:35.3530996Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3531076Z for(long i0=160; i0<160; i0+=1) 2022-11-23T01:30:35.3531137Z { 2022-11-23T01:30:35.3531223Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.3531321Z auto tmp1 = static_cast(3); 2022-11-23T01:30:35.3531403Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3531485Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.3531568Z } 2022-11-23T01:30:35.3531628Z } 2022-11-23T01:30:35.3531690Z } 2022-11-23T01:30:35.3531771Z ''') 2022-11-23T01:30:35.3531775Z 2022-11-23T01:30:35.3531779Z 2022-11-23T01:30:35.3531872Z async_compile.wait(globals()) 2022-11-23T01:30:35.3531945Z del async_compile 2022-11-23T01:30:35.3531950Z 2022-11-23T01:30:35.3532020Z def call(args): 2022-11-23T01:30:35.3532082Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3532151Z args.clear() 2022-11-23T01:30:35.3532364Z buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3532530Z aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1))) 2022-11-23T01:30:35.3532736Z buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3532932Z buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3533124Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.3533197Z del arg0_1 2022-11-23T01:30:35.3533251Z del arg1_1 2022-11-23T01:30:35.3533460Z buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3533618Z aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1))) 2022-11-23T01:30:35.3533682Z del buf1 2022-11-23T01:30:35.3533746Z del buf2 2022-11-23T01:30:35.3533830Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:30:35.3533931Z kernel_cpp_1(c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.3534012Z return (buf0, buf4, ) 2022-11-23T01:30:35.3534017Z 2022-11-23T01:30:35.3534021Z 2022-11-23T01:30:35.3534084Z if __name__ == "__main__": 2022-11-23T01:30:35.3534200Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3534322Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3534530Z arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3534729Z arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3534841Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3534846Z 2022-11-23T01:30:35.3534951Z ok (3.008s) 2022-11-23T01:30:35.3535255Z test_bmm2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:54,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3535561Z [2022-11-23 01:22:54,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3535777Z [2022-11-23 01:22:54,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3536029Z [2022-11-23 01:22:54,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3536307Z [2022-11-23 01:22:54,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3536664Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3537014Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3537339Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3537714Z [2022-11-23 01:22:54,853] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3537809Z 1392 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3537936Z 2 LOAD_METHOD 1 (bmm) 2022-11-23T01:30:35.3538015Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3538116Z 6 LOAD_METHOD 2 (permute) 2022-11-23T01:30:35.3538209Z 8 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3538294Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:35.3538379Z 12 LOAD_CONST 3 (1) 2022-11-23T01:30:35.3538466Z 14 CALL_METHOD 3 2022-11-23T01:30:35.3538550Z 16 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3538623Z 18 CALL_METHOD 2 2022-11-23T01:30:35.3538697Z 20 RETURN_VALUE 2022-11-23T01:30:35.3538758Z 2022-11-23T01:30:35.3538763Z 2022-11-23T01:30:35.3539079Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1392 2022-11-23T01:30:35.3539299Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3539667Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable()] 2022-11-23T01:30:35.3539982Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.3540341Z [2022-11-23 01:22:54,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3540730Z [2022-11-23 01:22:54,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), GetAttrVariable(TensorVariable(), permute)] 2022-11-23T01:30:35.3541157Z [2022-11-23 01:22:54,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)] 2022-11-23T01:30:35.3541627Z [2022-11-23 01:22:54,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3542136Z [2022-11-23 01:22:54,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3542466Z [2022-11-23 01:22:54,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3542843Z [2022-11-23 01:22:54,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3543134Z [2022-11-23 01:22:54,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3543517Z [2022-11-23 01:22:54,858] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3543772Z [2022-11-23 01:22:54,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3544009Z [2022-11-23 01:22:54,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3544262Z [2022-11-23 01:22:54,860] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3544518Z [2022-11-23 01:22:54,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3544748Z [2022-11-23 01:22:54,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3544884Z __compiled_fn_45 .294 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3544965Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3545052Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3545162Z call_method, permute, permute, (ex_0_, 0, 2, 1), {} 2022-11-23T01:30:35.3545400Z call_function, bmm, , (permute, ex_1_), {} 2022-11-23T01:30:35.3545494Z output, output, output, ((bmm,),), {} 2022-11-23T01:30:35.3545500Z 2022-11-23T01:30:35.3545826Z [2022-11-23 01:22:54,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3545918Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3546007Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3546083Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3546174Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3546258Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3546351Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3546426Z 12 RETURN_VALUE 2022-11-23T01:30:35.3546431Z 2022-11-23T01:30:35.3546491Z 2022-11-23T01:30:35.3546815Z [2022-11-23 01:22:54,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3546922Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_45) 2022-11-23T01:30:35.3547000Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3547087Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3547163Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3547252Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3547337Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3547414Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3547501Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3547579Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3547657Z 18 RETURN_VALUE 2022-11-23T01:30:35.3547662Z 2022-11-23T01:30:35.3547723Z 2022-11-23T01:30:35.3548022Z [2022-11-23 01:22:54,867] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3548095Z - 2022-11-23T01:30:35.3548213Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3548279Z { 2022-11-23T01:30:35.3548406Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3548590Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3548710Z 'obj_weakref': None 2022-11-23T01:30:35.3548935Z 'guarded_class': 2022-11-23T01:30:35.3549001Z } 2022-11-23T01:30:35.3549065Z 2022-11-23T01:30:35.3549136Z - 2022-11-23T01:30:35.3549248Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3549312Z { 2022-11-23T01:30:35.3549494Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3549601Z 'code': None, 2022-11-23T01:30:35.3549810Z 'obj_weakref': 2022-11-23T01:30:35.3550063Z 'guarded_class': 2022-11-23T01:30:35.3550127Z } 2022-11-23T01:30:35.3550178Z 2022-11-23T01:30:35.3550245Z - 2022-11-23T01:30:35.3550366Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3550428Z { 2022-11-23T01:30:35.3550567Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3550673Z 'code': None, 2022-11-23T01:30:35.3550880Z 'obj_weakref': 2022-11-23T01:30:35.3551145Z 'guarded_class': 2022-11-23T01:30:35.3551213Z } 2022-11-23T01:30:35.3551277Z 2022-11-23T01:30:35.3551345Z - 2022-11-23T01:30:35.3551474Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3551535Z { 2022-11-23T01:30:35.3551668Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3551822Z 'code': ['___check_obj_id(model, 140534432599200)'], 2022-11-23T01:30:35.3551944Z 'obj_weakref': None 2022-11-23T01:30:35.3552173Z 'guarded_class': 2022-11-23T01:30:35.3552235Z } 2022-11-23T01:30:35.3552298Z 2022-11-23T01:30:35.3552367Z - 2022-11-23T01:30:35.3552486Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3552536Z { 2022-11-23T01:30:35.3552671Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3552892Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3553012Z 'obj_weakref': None 2022-11-23T01:30:35.3553232Z 'guarded_class': 2022-11-23T01:30:35.3553293Z } 2022-11-23T01:30:35.3553354Z 2022-11-23T01:30:35.3553409Z - 2022-11-23T01:30:35.3553541Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3553603Z { 2022-11-23T01:30:35.3553720Z 'guard_types': None, 2022-11-23T01:30:35.3553825Z 'code': None, 2022-11-23T01:30:35.3553941Z 'obj_weakref': None 2022-11-23T01:30:35.3554061Z 'guarded_class': None 2022-11-23T01:30:35.3554110Z } 2022-11-23T01:30:35.3554171Z 2022-11-23T01:30:35.3554431Z [2022-11-23 01:22:54,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44 2022-11-23T01:30:35.3554803Z [2022-11-23 01:22:54,881] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3gwhzvxithzo666ro2erxgfvvearf4fkggfxxaauv2nzqvov2f.py 2022-11-23T01:30:35.3555065Z [2022-11-23 01:22:54,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44 2022-11-23T01:30:35.3555070Z 2022-11-23T01:30:35.3555163Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3555231Z import torch 2022-11-23T01:30:35.3555288Z import random 2022-11-23T01:30:35.3555403Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3555522Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3555528Z 2022-11-23T01:30:35.3555606Z aten = torch.ops.aten 2022-11-23T01:30:35.3555739Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3555829Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3555835Z 2022-11-23T01:30:35.3555839Z 2022-11-23T01:30:35.3555932Z async_compile.wait(globals()) 2022-11-23T01:30:35.3556005Z del async_compile 2022-11-23T01:30:35.3556010Z 2022-11-23T01:30:35.3556082Z def call(args): 2022-11-23T01:30:35.3556182Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3556255Z args.clear() 2022-11-23T01:30:35.3556458Z buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3556625Z aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1))) 2022-11-23T01:30:35.3556691Z del arg0_1 2022-11-23T01:30:35.3556757Z del arg1_1 2022-11-23T01:30:35.3556829Z return (buf0, ) 2022-11-23T01:30:35.3556834Z 2022-11-23T01:30:35.3556838Z 2022-11-23T01:30:35.3556901Z if __name__ == "__main__": 2022-11-23T01:30:35.3557015Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3557139Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3557342Z arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3557575Z arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3557691Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3557696Z 2022-11-23T01:30:35.3557762Z ok (0.037s) 2022-11-23T01:30:35.3558061Z test_bool_cpu (__main__.CpuTests) ... [2022-11-23 01:22:54,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3558365Z [2022-11-23 01:22:54,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3558581Z [2022-11-23 01:22:54,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3558832Z [2022-11-23 01:22:54,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3559109Z [2022-11-23 01:22:54,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3559434Z [2022-11-23 01:22:54,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3559780Z [2022-11-23 01:22:54,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3560203Z [2022-11-23 01:22:54,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3560584Z [2022-11-23 01:22:54,890] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3560678Z 623 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3560772Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3560832Z 4 BINARY_ADD 2022-11-23T01:30:35.3560840Z 2022-11-23T01:30:35.3560928Z 624 6 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3561013Z 8 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3561095Z 10 BINARY_MULTIPLY 2022-11-23T01:30:35.3561100Z 2022-11-23T01:30:35.3561187Z 625 12 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3561272Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3561347Z 16 BINARY_AND 2022-11-23T01:30:35.3561352Z 2022-11-23T01:30:35.3561437Z 626 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3561507Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3561580Z 22 BINARY_OR 2022-11-23T01:30:35.3561584Z 2022-11-23T01:30:35.3561667Z 627 24 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3561753Z 26 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3561827Z 28 BINARY_XOR 2022-11-23T01:30:35.3561832Z 2022-11-23T01:30:35.3561927Z 628 30 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3562031Z 32 LOAD_METHOD 1 (logical_and) 2022-11-23T01:30:35.3562178Z 34 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3562252Z 36 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3562338Z 38 CALL_METHOD 2 2022-11-23T01:30:35.3562343Z 2022-11-23T01:30:35.3562433Z 629 40 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3562531Z 42 LOAD_METHOD 2 (logical_or) 2022-11-23T01:30:35.3562618Z 44 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3562705Z 46 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3562790Z 48 CALL_METHOD 2 2022-11-23T01:30:35.3562795Z 2022-11-23T01:30:35.3562871Z 630 50 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3562973Z 52 LOAD_METHOD 3 (logical_not) 2022-11-23T01:30:35.3563058Z 54 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3563179Z 56 CALL_METHOD 1 2022-11-23T01:30:35.3563183Z 2022-11-23T01:30:35.3563278Z 631 58 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3563368Z 60 LOAD_METHOD 4 (sign) 2022-11-23T01:30:35.3563454Z 62 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3563539Z 64 CALL_METHOD 1 2022-11-23T01:30:35.3563544Z 2022-11-23T01:30:35.3563616Z 622 66 BUILD_TUPLE 9 2022-11-23T01:30:35.3563691Z 68 RETURN_VALUE 2022-11-23T01:30:35.3563752Z 2022-11-23T01:30:35.3563756Z 2022-11-23T01:30:35.3564076Z [2022-11-23 01:22:54,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:623 2022-11-23T01:30:35.3564287Z [2022-11-23 01:22:54,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.3564526Z [2022-11-23 01:22:54,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.3564929Z [2022-11-23 01:22:54,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3565241Z [2022-11-23 01:22:54,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:624 2022-11-23T01:30:35.3565478Z [2022-11-23 01:22:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:35.3565726Z [2022-11-23 01:22:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3566040Z [2022-11-23 01:22:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3566352Z [2022-11-23 01:22:54,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:625 2022-11-23T01:30:35.3566618Z [2022-11-23 01:22:54,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3566911Z [2022-11-23 01:22:54,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3567237Z [2022-11-23 01:22:54,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3567545Z [2022-11-23 01:22:54,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:626 2022-11-23T01:30:35.3567834Z [2022-11-23 01:22:54,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3568153Z [2022-11-23 01:22:54,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3568582Z [2022-11-23 01:22:54,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3568899Z [2022-11-23 01:22:54,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:627 2022-11-23T01:30:35.3569203Z [2022-11-23 01:22:54,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3569547Z [2022-11-23 01:22:54,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3569941Z [2022-11-23 01:22:54,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3570298Z [2022-11-23 01:22:54,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:628 2022-11-23T01:30:35.3570654Z [2022-11-23 01:22:54,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3571180Z [2022-11-23 01:22:54,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3571659Z [2022-11-23 01:22:54,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3572167Z [2022-11-23 01:22:54,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3572702Z [2022-11-23 01:22:54,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3573010Z [2022-11-23 01:22:54,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:629 2022-11-23T01:30:35.3573393Z [2022-11-23 01:22:54,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3573943Z [2022-11-23 01:22:54,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3574441Z [2022-11-23 01:22:54,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3574965Z [2022-11-23 01:22:54,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3575560Z [2022-11-23 01:22:54,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3575876Z [2022-11-23 01:22:54,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:630 2022-11-23T01:30:35.3576287Z [2022-11-23 01:22:54,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3576859Z [2022-11-23 01:22:54,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3577419Z [2022-11-23 01:22:54,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3577982Z [2022-11-23 01:22:54,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3578294Z [2022-11-23 01:22:54,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:631 2022-11-23T01:30:35.3578724Z [2022-11-23 01:22:54,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3579323Z [2022-11-23 01:22:54,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3579867Z [2022-11-23 01:22:54,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3580442Z [2022-11-23 01:22:54,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3580756Z [2022-11-23 01:22:54,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:622 2022-11-23T01:30:35.3581221Z [2022-11-23 01:22:54,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3581465Z [2022-11-23 01:22:54,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3581841Z [2022-11-23 01:22:54,909] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3582086Z [2022-11-23 01:22:54,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3582319Z [2022-11-23 01:22:54,909] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3582605Z [2022-11-23 01:22:54,912] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3582854Z [2022-11-23 01:22:54,923] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3583044Z [2022-11-23 01:22:54,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3583177Z __compiled_fn_46 .300 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3583254Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3583342Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3583519Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3583699Z call_function, mul, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3583875Z call_function, and_, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3584084Z call_function, or_, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3584258Z call_function, xor, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3584504Z call_function, logical_and, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3584759Z call_function, logical_or, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3585004Z call_function, logical_not, , (ex_0_,), {} 2022-11-23T01:30:35.3585225Z call_function, sign, , (ex_1_,), {} 2022-11-23T01:30:35.3585388Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {} 2022-11-23T01:30:35.3585393Z 2022-11-23T01:30:35.3585718Z [2022-11-23 01:22:54,925] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3585812Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3585906Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3585992Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3586070Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3586153Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3586239Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3586313Z 12 RETURN_VALUE 2022-11-23T01:30:35.3586318Z 2022-11-23T01:30:35.3586378Z 2022-11-23T01:30:35.3586701Z [2022-11-23 01:22:54,925] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3586808Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_46) 2022-11-23T01:30:35.3586896Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3586976Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3587051Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3587139Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3587227Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3587301Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3587388Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3587491Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3587579Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3587664Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3587738Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3587836Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3587923Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3587997Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3588095Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3588171Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3588244Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3588372Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3588459Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.3588533Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.3588630Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3588714Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.3588777Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.3588873Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3588958Z 50 LOAD_CONST 6 (5) 2022-11-23T01:30:35.3589031Z 52 BINARY_SUBSCR 2022-11-23T01:30:35.3589128Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3589213Z 56 LOAD_CONST 7 (6) 2022-11-23T01:30:35.3589285Z 58 BINARY_SUBSCR 2022-11-23T01:30:35.3589395Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3589480Z 62 LOAD_CONST 8 (7) 2022-11-23T01:30:35.3589555Z 64 BINARY_SUBSCR 2022-11-23T01:30:35.3589652Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3589741Z 68 LOAD_CONST 9 (8) 2022-11-23T01:30:35.3589814Z 70 BINARY_SUBSCR 2022-11-23T01:30:35.3589899Z 72 BUILD_TUPLE 9 2022-11-23T01:30:35.3589960Z 74 RETURN_VALUE 2022-11-23T01:30:35.3589979Z 2022-11-23T01:30:35.3590027Z 2022-11-23T01:30:35.3590208Z [2022-11-23 01:22:54,926] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3590278Z - 2022-11-23T01:30:35.3590398Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3590461Z { 2022-11-23T01:30:35.3590600Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3590773Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3590895Z 'obj_weakref': None 2022-11-23T01:30:35.3591119Z 'guarded_class': 2022-11-23T01:30:35.3591183Z } 2022-11-23T01:30:35.3591246Z 2022-11-23T01:30:35.3591314Z - 2022-11-23T01:30:35.3591436Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3591487Z { 2022-11-23T01:30:35.3591626Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3591730Z 'code': None, 2022-11-23T01:30:35.3591940Z 'obj_weakref': 2022-11-23T01:30:35.3592191Z 'guarded_class': 2022-11-23T01:30:35.3592255Z } 2022-11-23T01:30:35.3592319Z 2022-11-23T01:30:35.3592387Z - 2022-11-23T01:30:35.3592496Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3592561Z { 2022-11-23T01:30:35.3592701Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3592807Z 'code': None, 2022-11-23T01:30:35.3593013Z 'obj_weakref': 2022-11-23T01:30:35.3593260Z 'guarded_class': 2022-11-23T01:30:35.3593322Z } 2022-11-23T01:30:35.3593371Z 2022-11-23T01:30:35.3593438Z - 2022-11-23T01:30:35.3593571Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3593633Z { 2022-11-23T01:30:35.3593765Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3593932Z 'code': ['___check_obj_id(model, 140534432603376)'], 2022-11-23T01:30:35.3594050Z 'obj_weakref': None 2022-11-23T01:30:35.3594267Z 'guarded_class': 2022-11-23T01:30:35.3594332Z } 2022-11-23T01:30:35.3594394Z 2022-11-23T01:30:35.3594463Z - 2022-11-23T01:30:35.3594650Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3594714Z { 2022-11-23T01:30:35.3594836Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3595055Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3595175Z 'obj_weakref': None 2022-11-23T01:30:35.3595396Z 'guarded_class': 2022-11-23T01:30:35.3595460Z } 2022-11-23T01:30:35.3595524Z 2022-11-23T01:30:35.3595592Z - 2022-11-23T01:30:35.3595711Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3595774Z { 2022-11-23T01:30:35.3595893Z 'guard_types': None, 2022-11-23T01:30:35.3595999Z 'code': None, 2022-11-23T01:30:35.3596146Z 'obj_weakref': None 2022-11-23T01:30:35.3596266Z 'guarded_class': None 2022-11-23T01:30:35.3596328Z } 2022-11-23T01:30:35.3596380Z 2022-11-23T01:30:35.3596639Z [2022-11-23 01:22:54,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45 2022-11-23T01:30:35.3597008Z [2022-11-23 01:22:56,371] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckt4qzvf5zltzjqaannk5teyxlbcvvdecgwogvf5hratq7oi6ujt.py 2022-11-23T01:30:35.3597270Z [2022-11-23 01:22:56,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45 2022-11-23T01:30:35.3597276Z 2022-11-23T01:30:35.3597368Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3597438Z import torch 2022-11-23T01:30:35.3597506Z import random 2022-11-23T01:30:35.3597618Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3597726Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3597745Z 2022-11-23T01:30:35.3597809Z aten = torch.ops.aten 2022-11-23T01:30:35.3597941Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3598033Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3598038Z 2022-11-23T01:30:35.3598043Z 2022-11-23T01:30:35.3598173Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3598377Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3598493Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.3598595Z const bool* __restrict__ in_ptr1, 2022-11-23T01:30:35.3598678Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:35.3598769Z bool* __restrict__ out_ptr1, 2022-11-23T01:30:35.3598860Z bool* __restrict__ out_ptr2, 2022-11-23T01:30:35.3598949Z bool* __restrict__ out_ptr3, 2022-11-23T01:30:35.3599040Z bool* __restrict__ out_ptr4, 2022-11-23T01:30:35.3599133Z bool* __restrict__ out_ptr5, 2022-11-23T01:30:35.3599223Z bool* __restrict__ out_ptr6, 2022-11-23T01:30:35.3599313Z bool* __restrict__ out_ptr7, 2022-11-23T01:30:35.3599389Z bool* __restrict__ out_ptr8) 2022-11-23T01:30:35.3599448Z { 2022-11-23T01:30:35.3599545Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3599606Z { 2022-11-23T01:30:35.3599682Z #pragma omp for 2022-11-23T01:30:35.3599761Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.3599811Z { 2022-11-23T01:30:35.3599873Z { 2022-11-23T01:30:35.3599936Z { 2022-11-23T01:30:35.3600124Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3600218Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.3600308Z auto tmp2 = tmp0 || tmp1; 2022-11-23T01:30:35.3600398Z auto tmp3 = tmp0 && tmp1; 2022-11-23T01:30:35.3600477Z auto tmp4 = tmp0 & tmp1; 2022-11-23T01:30:35.3600564Z auto tmp5 = tmp0 | tmp1; 2022-11-23T01:30:35.3600697Z auto tmp6 = tmp0 ^ tmp1; 2022-11-23T01:30:35.3600786Z auto tmp7 = tmp0 == 0; 2022-11-23T01:30:35.3600871Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.3600954Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.3601036Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:35.3601105Z out_ptr3[i0] = tmp5; 2022-11-23T01:30:35.3601186Z out_ptr4[i0] = tmp6; 2022-11-23T01:30:35.3601266Z out_ptr5[i0] = tmp3; 2022-11-23T01:30:35.3601349Z out_ptr6[i0] = tmp2; 2022-11-23T01:30:35.3601428Z out_ptr7[i0] = tmp7; 2022-11-23T01:30:35.3601507Z out_ptr8[i0] = tmp1; 2022-11-23T01:30:35.3601572Z } 2022-11-23T01:30:35.3601622Z } 2022-11-23T01:30:35.3601724Z } 2022-11-23T01:30:35.3601786Z } 2022-11-23T01:30:35.3601848Z } 2022-11-23T01:30:35.3601930Z ''') 2022-11-23T01:30:35.3601936Z 2022-11-23T01:30:35.3601940Z 2022-11-23T01:30:35.3602031Z async_compile.wait(globals()) 2022-11-23T01:30:35.3602102Z del async_compile 2022-11-23T01:30:35.3602107Z 2022-11-23T01:30:35.3602164Z def call(args): 2022-11-23T01:30:35.3602243Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3602313Z args.clear() 2022-11-23T01:30:35.3602499Z buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3602684Z buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3602866Z buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3603042Z buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3603222Z buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3603385Z buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3603564Z buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3603741Z buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3603917Z buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3604269Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:30:35.3604337Z del arg0_1 2022-11-23T01:30:35.3604403Z del arg1_1 2022-11-23T01:30:35.3604518Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, ) 2022-11-23T01:30:35.3604523Z 2022-11-23T01:30:35.3604527Z 2022-11-23T01:30:35.3604602Z if __name__ == "__main__": 2022-11-23T01:30:35.3604705Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3604954Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3605143Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3605327Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.3605443Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3605448Z 2022-11-23T01:30:35.3605515Z ok (1.490s) 2022-11-23T01:30:35.3605826Z test_both_scalars_cpu (__main__.CpuTests) ... [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3606140Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3606344Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3606599Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3606946Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3607271Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3607618Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3607942Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3608315Z [2022-11-23 01:22:56,376] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3608451Z 1213 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3608544Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.3608636Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3608712Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3608799Z 8 CALL_METHOD 2 2022-11-23T01:30:35.3608804Z 2022-11-23T01:30:35.3608896Z 1214 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3608987Z 12 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.3609075Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3609162Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3609250Z 18 CALL_METHOD 2 2022-11-23T01:30:35.3609254Z 2022-11-23T01:30:35.3609332Z 1215 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3609419Z 22 LOAD_METHOD 2 (sub) 2022-11-23T01:30:35.3609507Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3609594Z 26 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3609681Z 28 CALL_METHOD 2 2022-11-23T01:30:35.3609685Z 2022-11-23T01:30:35.3609773Z 1216 30 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3609864Z 32 LOAD_METHOD 2 (sub) 2022-11-23T01:30:35.3609949Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3610021Z 36 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3610109Z 38 CALL_METHOD 2 2022-11-23T01:30:35.3610113Z 2022-11-23T01:30:35.3610203Z 1217 40 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3610292Z 42 LOAD_METHOD 3 (mul) 2022-11-23T01:30:35.3610378Z 44 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3610463Z 46 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3610549Z 48 CALL_METHOD 2 2022-11-23T01:30:35.3610556Z 2022-11-23T01:30:35.3610645Z 1218 50 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3610724Z 52 LOAD_METHOD 3 (mul) 2022-11-23T01:30:35.3610809Z 54 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3610893Z 56 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3611024Z 58 CALL_METHOD 2 2022-11-23T01:30:35.3611029Z 2022-11-23T01:30:35.3611114Z 1212 60 BUILD_TUPLE 6 2022-11-23T01:30:35.3611190Z 62 RETURN_VALUE 2022-11-23T01:30:35.3611250Z 2022-11-23T01:30:35.3611255Z 2022-11-23T01:30:35.3611563Z [2022-11-23 01:22:56,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1213 2022-11-23T01:30:35.3611778Z [2022-11-23 01:22:56,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3612080Z [2022-11-23 01:22:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.3612362Z [2022-11-23 01:22:56,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)] 2022-11-23T01:30:35.3612647Z [2022-11-23 01:22:56,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)] 2022-11-23T01:30:35.3612979Z [2022-11-23 01:22:56,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:30:35.3613289Z [2022-11-23 01:22:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1214 2022-11-23T01:30:35.3613533Z [2022-11-23 01:22:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.3613863Z [2022-11-23 01:22:56,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3614169Z [2022-11-23 01:22:56,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)] 2022-11-23T01:30:35.3614482Z [2022-11-23 01:22:56,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)] 2022-11-23T01:30:35.3614824Z [2022-11-23 01:22:56,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.3615131Z [2022-11-23 01:22:56,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1215 2022-11-23T01:30:35.3615401Z [2022-11-23 01:22:56,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3615755Z [2022-11-23 01:22:56,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3616061Z [2022-11-23 01:22:56,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)] 2022-11-23T01:30:35.3616400Z [2022-11-23 01:22:56,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)] 2022-11-23T01:30:35.3616782Z [2022-11-23 01:22:56,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:30:35.3617091Z [2022-11-23 01:22:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1216 2022-11-23T01:30:35.3617392Z [2022-11-23 01:22:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3617781Z [2022-11-23 01:22:56,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3618107Z [2022-11-23 01:22:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)] 2022-11-23T01:30:35.3618473Z [2022-11-23 01:22:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)] 2022-11-23T01:30:35.3618875Z [2022-11-23 01:22:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.3619184Z [2022-11-23 01:22:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1217 2022-11-23T01:30:35.3619538Z [2022-11-23 01:22:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3619950Z [2022-11-23 01:22:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3620306Z [2022-11-23 01:22:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)] 2022-11-23T01:30:35.3620700Z [2022-11-23 01:22:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)] 2022-11-23T01:30:35.3621171Z [2022-11-23 01:22:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:30:35.3621482Z [2022-11-23 01:22:56,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1218 2022-11-23T01:30:35.3621836Z [2022-11-23 01:22:56,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3622278Z [2022-11-23 01:22:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3622664Z [2022-11-23 01:22:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)] 2022-11-23T01:30:35.3623096Z [2022-11-23 01:22:56,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)] 2022-11-23T01:30:35.3623569Z [2022-11-23 01:22:56,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.3623877Z [2022-11-23 01:22:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1212 2022-11-23T01:30:35.3624252Z [2022-11-23 01:22:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3624488Z [2022-11-23 01:22:56,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3624869Z [2022-11-23 01:22:56,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3625111Z [2022-11-23 01:22:56,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3625342Z [2022-11-23 01:22:56,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3625611Z [2022-11-23 01:22:56,434] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3625855Z [2022-11-23 01:22:56,442] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3626042Z [2022-11-23 01:22:56,442] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3626177Z __compiled_fn_47 .306 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3626276Z call_function, add, aten.add, (4, 3.3), {} 2022-11-23T01:30:35.3626392Z call_function, add_1, aten.add, (3.3, 4), {} 2022-11-23T01:30:35.3626489Z call_function, sub, aten.sub, (4, 3.3), {} 2022-11-23T01:30:35.3626584Z call_function, sub_1, aten.sub, (3.3, 4), {} 2022-11-23T01:30:35.3626677Z call_function, mul, aten.mul, (4, 3.3), {} 2022-11-23T01:30:35.3626773Z call_function, mul_1, aten.mul, (3.3, 4), {} 2022-11-23T01:30:35.3626897Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {} 2022-11-23T01:30:35.3626902Z 2022-11-23T01:30:35.3627226Z [2022-11-23 01:22:56,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3627319Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3627395Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3627508Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3627597Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3627682Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3627769Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3627844Z 12 RETURN_VALUE 2022-11-23T01:30:35.3627849Z 2022-11-23T01:30:35.3627908Z 2022-11-23T01:30:35.3628230Z [2022-11-23 01:22:56,443] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3628326Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_47) 2022-11-23T01:30:35.3628413Z 2 CALL_FUNCTION 0 2022-11-23T01:30:35.3628516Z 4 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3628615Z 6 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3628702Z 8 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3628780Z 10 BINARY_SUBSCR 2022-11-23T01:30:35.3628879Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3628956Z 14 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3629030Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3629127Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3629217Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3629290Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3629387Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3629472Z 26 LOAD_CONST 4 (3) 2022-11-23T01:30:35.3629534Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3629631Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3629719Z 32 LOAD_CONST 5 (4) 2022-11-23T01:30:35.3629792Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3629889Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3629975Z 38 LOAD_CONST 6 (5) 2022-11-23T01:30:35.3630051Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.3630128Z 42 BUILD_TUPLE 6 2022-11-23T01:30:35.3630206Z 44 RETURN_VALUE 2022-11-23T01:30:35.3630211Z 2022-11-23T01:30:35.3630271Z 2022-11-23T01:30:35.3630451Z [2022-11-23 01:22:56,445] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3630521Z - 2022-11-23T01:30:35.3630638Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3630701Z { 2022-11-23T01:30:35.3630827Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3631011Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3631129Z 'obj_weakref': None 2022-11-23T01:30:35.3631354Z 'guarded_class': 2022-11-23T01:30:35.3631418Z } 2022-11-23T01:30:35.3631483Z 2022-11-23T01:30:35.3631552Z - 2022-11-23T01:30:35.3631669Z local 'ex[0]' CONSTANT_MATCH 2022-11-23T01:30:35.3631789Z { 2022-11-23T01:30:35.3631958Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.3632144Z 'code': ['___check_type_id(ex[0], 94427249894784)', 'ex[0] == 4'], 2022-11-23T01:30:35.3632265Z 'obj_weakref': None 2022-11-23T01:30:35.3632490Z 'guarded_class': 2022-11-23T01:30:35.3632553Z } 2022-11-23T01:30:35.3632616Z 2022-11-23T01:30:35.3632671Z - 2022-11-23T01:30:35.3632801Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:35.3632864Z { 2022-11-23T01:30:35.3633004Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.3633189Z 'code': ['___check_type_id(ex[1], 94427249898528)', 'ex[1] == 3.3'], 2022-11-23T01:30:35.3633306Z 'obj_weakref': None 2022-11-23T01:30:35.3633568Z 'guarded_class': 2022-11-23T01:30:35.3633619Z } 2022-11-23T01:30:35.3633683Z 2022-11-23T01:30:35.3633751Z - 2022-11-23T01:30:35.3633879Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3633940Z { 2022-11-23T01:30:35.3634071Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3634225Z 'code': ['___check_obj_id(model, 140534431031088)'], 2022-11-23T01:30:35.3634340Z 'obj_weakref': None 2022-11-23T01:30:35.3634568Z 'guarded_class': 2022-11-23T01:30:35.3634630Z } 2022-11-23T01:30:35.3634692Z 2022-11-23T01:30:35.3634762Z - 2022-11-23T01:30:35.3634885Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3634934Z { 2022-11-23T01:30:35.3635070Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3635294Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3635415Z 'obj_weakref': None 2022-11-23T01:30:35.3635636Z 'guarded_class': 2022-11-23T01:30:35.3635700Z } 2022-11-23T01:30:35.3635764Z 2022-11-23T01:30:35.3635820Z - 2022-11-23T01:30:35.3635951Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3636014Z { 2022-11-23T01:30:35.3636131Z 'guard_types': None, 2022-11-23T01:30:35.3636236Z 'code': None, 2022-11-23T01:30:35.3636351Z 'obj_weakref': None 2022-11-23T01:30:35.3636469Z 'guarded_class': None 2022-11-23T01:30:35.3636519Z } 2022-11-23T01:30:35.3636582Z 2022-11-23T01:30:35.3636837Z [2022-11-23 01:22:56,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46 2022-11-23T01:30:35.3637209Z [2022-11-23 01:22:57,908] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdcffw6ibuvqyqttn5z6fbona4tlfzxg344nzv5rulpzccbtg335.py 2022-11-23T01:30:35.3637471Z [2022-11-23 01:22:57,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46 2022-11-23T01:30:35.3637476Z 2022-11-23T01:30:35.3637567Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3637635Z import torch 2022-11-23T01:30:35.3637704Z import random 2022-11-23T01:30:35.3637805Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3637923Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3637928Z 2022-11-23T01:30:35.3638004Z aten = torch.ops.aten 2022-11-23T01:30:35.3638135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3638226Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3638231Z 2022-11-23T01:30:35.3638235Z 2022-11-23T01:30:35.3638369Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3638572Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3638717Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3638803Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.3638895Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.3638987Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.3639078Z float* __restrict__ out_ptr4, 2022-11-23T01:30:35.3639168Z float* __restrict__ out_ptr5) 2022-11-23T01:30:35.3639227Z { 2022-11-23T01:30:35.3639289Z { 2022-11-23T01:30:35.3639339Z { 2022-11-23T01:30:35.3639438Z auto tmp0 = static_cast(4); 2022-11-23T01:30:35.3639538Z auto tmp1 = static_cast(3.3); 2022-11-23T01:30:35.3639622Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3639700Z out_ptr0[0] = tmp2; 2022-11-23T01:30:35.3639794Z } 2022-11-23T01:30:35.3639854Z } 2022-11-23T01:30:35.3639902Z { 2022-11-23T01:30:35.3639963Z { 2022-11-23T01:30:35.3640149Z auto tmp0 = static_cast(3.3); 2022-11-23T01:30:35.3640251Z auto tmp1 = static_cast(4); 2022-11-23T01:30:35.3640335Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3640416Z out_ptr1[0] = tmp2; 2022-11-23T01:30:35.3640479Z } 2022-11-23T01:30:35.3640527Z } 2022-11-23T01:30:35.3640588Z { 2022-11-23T01:30:35.3640650Z { 2022-11-23T01:30:35.3640747Z auto tmp0 = static_cast(4); 2022-11-23T01:30:35.3640847Z auto tmp1 = static_cast(3.3); 2022-11-23T01:30:35.3640979Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3641043Z out_ptr2[0] = tmp2; 2022-11-23T01:30:35.3641105Z } 2022-11-23T01:30:35.3641168Z } 2022-11-23T01:30:35.3641231Z { 2022-11-23T01:30:35.3641295Z { 2022-11-23T01:30:35.3641391Z auto tmp0 = static_cast(3.3); 2022-11-23T01:30:35.3641487Z auto tmp1 = static_cast(4); 2022-11-23T01:30:35.3641598Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3641673Z out_ptr3[0] = tmp2; 2022-11-23T01:30:35.3641734Z } 2022-11-23T01:30:35.3641795Z } 2022-11-23T01:30:35.3641855Z { 2022-11-23T01:30:35.3641915Z { 2022-11-23T01:30:35.3642000Z auto tmp0 = static_cast(4); 2022-11-23T01:30:35.3642096Z auto tmp1 = static_cast(3.3); 2022-11-23T01:30:35.3642178Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.3642253Z out_ptr4[0] = tmp2; 2022-11-23T01:30:35.3642314Z } 2022-11-23T01:30:35.3642375Z } 2022-11-23T01:30:35.3642434Z { 2022-11-23T01:30:35.3642482Z { 2022-11-23T01:30:35.3642578Z auto tmp0 = static_cast(3.3); 2022-11-23T01:30:35.3642672Z auto tmp1 = static_cast(4); 2022-11-23T01:30:35.3642757Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.3642832Z out_ptr5[0] = tmp2; 2022-11-23T01:30:35.3642892Z } 2022-11-23T01:30:35.3642952Z } 2022-11-23T01:30:35.3643001Z } 2022-11-23T01:30:35.3643079Z ''') 2022-11-23T01:30:35.3643083Z 2022-11-23T01:30:35.3643088Z 2022-11-23T01:30:35.3643175Z async_compile.wait(globals()) 2022-11-23T01:30:35.3643246Z del async_compile 2022-11-23T01:30:35.3643251Z 2022-11-23T01:30:35.3643319Z def call(args): 2022-11-23T01:30:35.3643503Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3643682Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3643842Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3644019Z buf3 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3644193Z buf4 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3644366Z buf5 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3644640Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:30:35.3644854Z return (buf0, buf1, buf2, buf3, buf4, buf5, ) 2022-11-23T01:30:35.3644859Z 2022-11-23T01:30:35.3644863Z 2022-11-23T01:30:35.3644939Z if __name__ == "__main__": 2022-11-23T01:30:35.3645055Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3645178Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3645263Z print_performance(lambda: call([])) 2022-11-23T01:30:35.3645268Z 2022-11-23T01:30:35.3645333Z ok (1.537s) 2022-11-23T01:30:35.3645637Z test_cat_cpu (__main__.CpuTests) ... [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3645952Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3646227Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3646479Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3646754Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3647074Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3647416Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3647741Z [2022-11-23 01:22:57,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3648103Z [2022-11-23 01:22:57,915] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3648196Z 2554 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3648286Z 2 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3648368Z 4 BINARY_MULTIPLY 2022-11-23T01:30:35.3648462Z 6 STORE_FAST 1 (tmp) 2022-11-23T01:30:35.3648467Z 2022-11-23T01:30:35.3648561Z 2556 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3648652Z 10 LOAD_METHOD 1 (cat) 2022-11-23T01:30:35.3648740Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3648815Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3648906Z 16 LOAD_CONST 0 (None) 2022-11-23T01:30:35.3648998Z 18 LOAD_CONST 0 (None) 2022-11-23T01:30:35.3649086Z 20 BUILD_SLICE 2 2022-11-23T01:30:35.3649176Z 22 LOAD_CONST 0 (None) 2022-11-23T01:30:35.3649265Z 24 LOAD_CONST 2 (4) 2022-11-23T01:30:35.3649351Z 26 BUILD_SLICE 2 2022-11-23T01:30:35.3649424Z 28 BUILD_TUPLE 2 2022-11-23T01:30:35.3649501Z 30 BINARY_SUBSCR 2022-11-23T01:30:35.3649587Z 32 LOAD_CONST 3 (1) 2022-11-23T01:30:35.3649659Z 34 BINARY_ADD 2022-11-23T01:30:35.3649745Z 36 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3649832Z 38 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3649903Z 40 BINARY_ADD 2022-11-23T01:30:35.3649976Z 42 BUILD_TUPLE 3 2022-11-23T01:30:35.3650113Z 44 LOAD_CONST 4 (-1) 2022-11-23T01:30:35.3650201Z 46 CALL_METHOD 2 2022-11-23T01:30:35.3650208Z 2022-11-23T01:30:35.3650300Z 2557 48 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3650450Z 50 LOAD_METHOD 1 (cat) 2022-11-23T01:30:35.3650541Z 52 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.3650628Z 54 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.3650703Z 56 BUILD_TUPLE 2 2022-11-23T01:30:35.3650790Z 58 LOAD_CONST 5 (0) 2022-11-23T01:30:35.3650875Z 60 CALL_METHOD 2 2022-11-23T01:30:35.3650880Z 2022-11-23T01:30:35.3650971Z 2558 62 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3651058Z 64 LOAD_METHOD 1 (cat) 2022-11-23T01:30:35.3656794Z 66 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.3656908Z 68 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.3657008Z 70 LOAD_METHOD 2 (double) 2022-11-23T01:30:35.3657192Z 72 CALL_METHOD 0 2022-11-23T01:30:35.3657281Z 74 BUILD_TUPLE 2 2022-11-23T01:30:35.3657376Z 76 LOAD_CONST 5 (0) 2022-11-23T01:30:35.3657450Z 78 CALL_METHOD 2 2022-11-23T01:30:35.3657479Z 2022-11-23T01:30:35.3657553Z 2555 80 BUILD_TUPLE 3 2022-11-23T01:30:35.3657631Z 82 RETURN_VALUE 2022-11-23T01:30:35.3657693Z 2022-11-23T01:30:35.3657698Z 2022-11-23T01:30:35.3658062Z [2022-11-23 01:22:57,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2554 2022-11-23T01:30:35.3658276Z [2022-11-23 01:22:57,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.3658521Z [2022-11-23 01:22:57,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.3658816Z [2022-11-23 01:22:57,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3659068Z [2022-11-23 01:22:57,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:30:35.3659369Z [2022-11-23 01:22:57,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2556 2022-11-23T01:30:35.3659591Z [2022-11-23 01:22:57,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3659956Z [2022-11-23 01:22:57,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable()] 2022-11-23T01:30:35.3660277Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.3660622Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3661006Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3661435Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.3661903Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:35.3662309Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:35.3662799Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.3663287Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:35.3663716Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:35.3664123Z [2022-11-23 01:22:57,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:35.3664527Z [2022-11-23 01:22:57,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3664945Z [2022-11-23 01:22:57,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3665304Z [2022-11-23 01:22:57,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3665706Z [2022-11-23 01:22:57,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3666156Z [2022-11-23 01:22:57,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3666559Z [2022-11-23 01:22:57,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3666901Z [2022-11-23 01:22:57,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TupleVariable()] 2022-11-23T01:30:35.3667287Z [2022-11-23 01:22:57,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3667601Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2557 2022-11-23T01:30:35.3667851Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.3668246Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3668594Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3668970Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3669377Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3669780Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TupleVariable()] 2022-11-23T01:30:35.3670200Z [2022-11-23 01:22:57,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3670514Z [2022-11-23 01:22:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2558 2022-11-23T01:30:35.3670771Z [2022-11-23 01:22:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3671192Z [2022-11-23 01:22:57,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3671601Z [2022-11-23 01:22:57,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3672005Z [2022-11-23 01:22:57,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3672444Z [2022-11-23 01:22:57,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3672923Z [2022-11-23 01:22:57,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), double)] 2022-11-23T01:30:35.3673360Z [2022-11-23 01:22:57,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3673758Z [2022-11-23 01:22:57,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TupleVariable()] 2022-11-23T01:30:35.3674207Z [2022-11-23 01:22:57,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3674519Z [2022-11-23 01:22:57,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2555 2022-11-23T01:30:35.3674818Z [2022-11-23 01:22:57,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3675064Z [2022-11-23 01:22:57,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3675442Z [2022-11-23 01:22:57,926] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3675683Z [2022-11-23 01:22:57,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3675904Z [2022-11-23 01:22:57,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3676159Z [2022-11-23 01:22:57,928] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3676408Z [2022-11-23 01:22:57,935] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3676630Z [2022-11-23 01:22:57,935] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3676767Z __compiled_fn_48 .312 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3676858Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3677030Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:30:35.3677283Z call_function, getitem, , (ex_0_, (slice(None, None, None), slice(None, 4, None))), {} 2022-11-23T01:30:35.3677446Z call_function, add, , (getitem, 1), {} 2022-11-23T01:30:35.3677616Z call_function, add_1, , (ex_0_, 2), {} 2022-11-23T01:30:35.3677858Z call_function, cat, , ((ex_0_, add, add_1), -1), {} 2022-11-23T01:30:35.3678090Z call_function, cat_1, , ((mul, mul), 0), {} 2022-11-23T01:30:35.3678222Z call_method, double, double, (mul,), {} 2022-11-23T01:30:35.3678462Z call_function, cat_2, , ((mul, double), 0), {} 2022-11-23T01:30:35.3678570Z output, output, output, ((cat, cat_1, cat_2),), {} 2022-11-23T01:30:35.3678576Z 2022-11-23T01:30:35.3678903Z [2022-11-23 01:22:57,935] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3678996Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3679073Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3679159Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3679251Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3679336Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3679424Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3679502Z 12 RETURN_VALUE 2022-11-23T01:30:35.3679507Z 2022-11-23T01:30:35.3679568Z 2022-11-23T01:30:35.3679881Z [2022-11-23 01:22:57,936] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3680083Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_48) 2022-11-23T01:30:35.3680177Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3680267Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3680345Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3680435Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3680542Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3680646Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3680722Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3680799Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3680899Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3680992Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3681069Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3681171Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3681259Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3681320Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3681409Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.3681485Z 32 RETURN_VALUE 2022-11-23T01:30:35.3681490Z 2022-11-23T01:30:35.3681552Z 2022-11-23T01:30:35.3681744Z [2022-11-23 01:22:57,936] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3681817Z - 2022-11-23T01:30:35.3681937Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3681988Z { 2022-11-23T01:30:35.3682129Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3682319Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3682440Z 'obj_weakref': None 2022-11-23T01:30:35.3682667Z 'guarded_class': 2022-11-23T01:30:35.3682767Z } 2022-11-23T01:30:35.3682833Z 2022-11-23T01:30:35.3682890Z - 2022-11-23T01:30:35.3683012Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3683078Z { 2022-11-23T01:30:35.3683221Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3683328Z 'code': None, 2022-11-23T01:30:35.3683538Z 'obj_weakref': 2022-11-23T01:30:35.3683790Z 'guarded_class': 2022-11-23T01:30:35.3683844Z } 2022-11-23T01:30:35.3683907Z 2022-11-23T01:30:35.3683978Z - 2022-11-23T01:30:35.3684109Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3684201Z { 2022-11-23T01:30:35.3684336Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3684505Z 'code': ['___check_obj_id(model, 140534431026480)'], 2022-11-23T01:30:35.3684612Z 'obj_weakref': None 2022-11-23T01:30:35.3685017Z 'guarded_class': 2022-11-23T01:30:35.3685084Z } 2022-11-23T01:30:35.3685148Z 2022-11-23T01:30:35.3685223Z - 2022-11-23T01:30:35.3685345Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3685408Z { 2022-11-23T01:30:35.3685533Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3685750Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3685868Z 'obj_weakref': None 2022-11-23T01:30:35.3686091Z 'guarded_class': 2022-11-23T01:30:35.3686158Z } 2022-11-23T01:30:35.3686221Z 2022-11-23T01:30:35.3686290Z - 2022-11-23T01:30:35.3686410Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3686479Z { 2022-11-23T01:30:35.3686599Z 'guard_types': None, 2022-11-23T01:30:35.3686705Z 'code': None, 2022-11-23T01:30:35.3686823Z 'obj_weakref': None 2022-11-23T01:30:35.3686944Z 'guarded_class': None 2022-11-23T01:30:35.3687006Z } 2022-11-23T01:30:35.3687055Z 2022-11-23T01:30:35.3687315Z [2022-11-23 01:22:57,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47 2022-11-23T01:30:35.3687691Z [2022-11-23 01:22:59,484] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ms/cmsujvnj5zjit5muzjogxcfxddjmoxqix2khowjrtmltdhew6tsj.py 2022-11-23T01:30:35.3687953Z [2022-11-23 01:22:59,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47 2022-11-23T01:30:35.3687961Z 2022-11-23T01:30:35.3688057Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3688126Z import torch 2022-11-23T01:30:35.3688195Z import random 2022-11-23T01:30:35.3688312Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3688421Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3688426Z 2022-11-23T01:30:35.3688505Z aten = torch.ops.aten 2022-11-23T01:30:35.3688638Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3688731Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3688736Z 2022-11-23T01:30:35.3688740Z 2022-11-23T01:30:35.3688872Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3689077Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3689195Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3689294Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3689380Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.3689475Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.3689626Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.3689726Z float* __restrict__ out_ptr4, 2022-11-23T01:30:35.3689826Z double* __restrict__ out_ptr5, 2022-11-23T01:30:35.3689922Z double* __restrict__ out_ptr6) 2022-11-23T01:30:35.3689983Z { 2022-11-23T01:30:35.3690070Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3690132Z { 2022-11-23T01:30:35.3690210Z #pragma omp for 2022-11-23T01:30:35.3690295Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3690359Z { 2022-11-23T01:30:35.3690443Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.3690508Z { 2022-11-23T01:30:35.3690658Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (16*i0)); 2022-11-23T01:30:35.3690849Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.3690937Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3691041Z tmp0.store(out_ptr0 + (8*i1) + (36*i0)); 2022-11-23T01:30:35.3691144Z tmp2.store(out_ptr1 + (8*i1) + (36*i0)); 2022-11-23T01:30:35.3691207Z } 2022-11-23T01:30:35.3691300Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.3691373Z for(long i1=16; i1<16; i1+=1) 2022-11-23T01:30:35.3691437Z { 2022-11-23T01:30:35.3691532Z auto tmp0 = in_ptr0[i1 + (16*i0)]; 2022-11-23T01:30:35.3691631Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.3691718Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3691811Z out_ptr0[i1 + (36*i0)] = tmp0; 2022-11-23T01:30:35.3691902Z out_ptr1[i1 + (36*i0)] = tmp2; 2022-11-23T01:30:35.3691951Z } 2022-11-23T01:30:35.3692014Z } 2022-11-23T01:30:35.3692095Z #pragma omp for 2022-11-23T01:30:35.3692177Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3692241Z { 2022-11-23T01:30:35.3692325Z #pragma GCC ivdep 2022-11-23T01:30:35.3692407Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.3692457Z { 2022-11-23T01:30:35.3692524Z { 2022-11-23T01:30:35.3692590Z { 2022-11-23T01:30:35.3692691Z auto tmp0 = in_ptr0[i1 + (16*i0)]; 2022-11-23T01:30:35.3692795Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.3692887Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3692982Z out_ptr2[i1 + (36*i0)] = tmp2; 2022-11-23T01:30:35.3693035Z } 2022-11-23T01:30:35.3693099Z } 2022-11-23T01:30:35.3693162Z } 2022-11-23T01:30:35.3693224Z } 2022-11-23T01:30:35.3693300Z #pragma omp for 2022-11-23T01:30:35.3693383Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.3693433Z { 2022-11-23T01:30:35.3693495Z { 2022-11-23T01:30:35.3693558Z { 2022-11-23T01:30:35.3693652Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3693756Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.3693847Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.3693956Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.3694026Z out_ptr3[i0] = tmp2; 2022-11-23T01:30:35.3694108Z out_ptr4[i0] = tmp2; 2022-11-23T01:30:35.3694191Z out_ptr5[i0] = tmp3; 2022-11-23T01:30:35.3694271Z out_ptr6[i0] = tmp3; 2022-11-23T01:30:35.3694334Z } 2022-11-23T01:30:35.3694397Z } 2022-11-23T01:30:35.3694460Z } 2022-11-23T01:30:35.3694508Z } 2022-11-23T01:30:35.3694569Z } 2022-11-23T01:30:35.3694652Z ''') 2022-11-23T01:30:35.3694659Z 2022-11-23T01:30:35.3694665Z 2022-11-23T01:30:35.3694756Z async_compile.wait(globals()) 2022-11-23T01:30:35.3694829Z del async_compile 2022-11-23T01:30:35.3694834Z 2022-11-23T01:30:35.3694904Z def call(args): 2022-11-23T01:30:35.3695006Z arg0_1, = args 2022-11-23T01:30:35.3695067Z args.clear() 2022-11-23T01:30:35.3695269Z buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3695370Z buf0 = as_strided(buf3, (8, 16), (36, 1)) # alias 2022-11-23T01:30:35.3695472Z buf2 = as_strided(buf3, (8, 16), (36, 1), 20) # alias 2022-11-23T01:30:35.3695572Z buf1 = as_strided(buf3, (8, 4), (36, 1), 16) # alias 2022-11-23T01:30:35.3695771Z buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3695870Z buf4 = as_strided(buf6, (8, 16), (16, 1)) # alias 2022-11-23T01:30:35.3695973Z buf5 = as_strided(buf6, (8, 16), (16, 1), 128) # alias 2022-11-23T01:30:35.3696156Z buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:35.3696323Z buf7 = as_strided(buf9, (8, 16), (16, 1)) # alias 2022-11-23T01:30:35.3696429Z buf8 = as_strided(buf9, (8, 16), (16, 1), 128) # alias 2022-11-23T01:30:35.3696715Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:30:35.3696786Z del arg0_1 2022-11-23T01:30:35.3696871Z return (buf3, buf6, buf9, ) 2022-11-23T01:30:35.3696876Z 2022-11-23T01:30:35.3696880Z 2022-11-23T01:30:35.3696957Z if __name__ == "__main__": 2022-11-23T01:30:35.3697073Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3697183Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3697380Z arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3697488Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3697495Z 2022-11-23T01:30:35.3697564Z ok (1.576s) 2022-11-23T01:30:35.3697890Z test_cat_extern_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3698211Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3698429Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3698683Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3698960Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3699266Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3699616Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3699939Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3700312Z [2022-11-23 01:22:59,512] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3700408Z 2581 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3700499Z 2 LOAD_METHOD 1 (mm) 2022-11-23T01:30:35.3700590Z 4 LOAD_FAST 1 (x2) 2022-11-23T01:30:35.3700677Z 6 LOAD_FAST 2 (x3) 2022-11-23T01:30:35.3700765Z 8 CALL_METHOD 2 2022-11-23T01:30:35.3700846Z 10 STORE_FAST 4 (x) 2022-11-23T01:30:35.3700850Z 2022-11-23T01:30:35.3700944Z 2582 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3701079Z 14 LOAD_METHOD 2 (narrow) 2022-11-23T01:30:35.3701172Z 16 LOAD_FAST 4 (x) 2022-11-23T01:30:35.3701264Z 18 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3701351Z 20 LOAD_CONST 2 (0) 2022-11-23T01:30:35.3701439Z 22 LOAD_CONST 3 (100) 2022-11-23T01:30:35.3701525Z 24 CALL_METHOD 4 2022-11-23T01:30:35.3701599Z 26 STORE_FAST 5 (s) 2022-11-23T01:30:35.3701604Z 2022-11-23T01:30:35.3701694Z 2583 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3701783Z 30 LOAD_METHOD 1 (mm) 2022-11-23T01:30:35.3701874Z 32 LOAD_FAST 5 (s) 2022-11-23T01:30:35.3701961Z 34 LOAD_FAST 3 (x4) 2022-11-23T01:30:35.3702080Z 36 CALL_METHOD 2 2022-11-23T01:30:35.3702167Z 38 STORE_FAST 4 (x) 2022-11-23T01:30:35.3702175Z 2022-11-23T01:30:35.3702254Z 2584 40 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3702344Z 42 LOAD_METHOD 3 (cat) 2022-11-23T01:30:35.3702430Z 44 LOAD_FAST 4 (x) 2022-11-23T01:30:35.3702518Z 46 LOAD_FAST 0 (x1) 2022-11-23T01:30:35.3702606Z 48 BUILD_TUPLE 2 2022-11-23T01:30:35.3702692Z 50 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3702777Z 52 CALL_METHOD 2 2022-11-23T01:30:35.3702863Z 54 STORE_FAST 6 (c) 2022-11-23T01:30:35.3702867Z 2022-11-23T01:30:35.3702939Z 2585 56 LOAD_FAST 6 (c) 2022-11-23T01:30:35.3703023Z 58 BUILD_TUPLE 1 2022-11-23T01:30:35.3703101Z 60 RETURN_VALUE 2022-11-23T01:30:35.3703163Z 2022-11-23T01:30:35.3703168Z 2022-11-23T01:30:35.3703490Z [2022-11-23 01:22:59,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2581 2022-11-23T01:30:35.3703713Z [2022-11-23 01:22:59,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3704078Z [2022-11-23 01:22:59,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable()] 2022-11-23T01:30:35.3704395Z [2022-11-23 01:22:59,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable()] 2022-11-23T01:30:35.3704736Z [2022-11-23 01:22:59,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3705109Z [2022-11-23 01:22:59,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3705350Z [2022-11-23 01:22:59,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.3705662Z [2022-11-23 01:22:59,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2582 2022-11-23T01:30:35.3705877Z [2022-11-23 01:22:59,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3706240Z [2022-11-23 01:22:59,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable()] 2022-11-23T01:30:35.3706560Z [2022-11-23 01:22:59,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.3706938Z [2022-11-23 01:22:59,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3707327Z [2022-11-23 01:22:59,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3707754Z [2022-11-23 01:22:59,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3708221Z [2022-11-23 01:22:59,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3708490Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()] 2022-11-23T01:30:35.3708806Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2583 2022-11-23T01:30:35.3709011Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3709370Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable()] 2022-11-23T01:30:35.3709683Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable()] 2022-11-23T01:30:35.3710026Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3710404Z [2022-11-23 01:22:59,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3710641Z [2022-11-23 01:22:59,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.3710952Z [2022-11-23 01:22:59,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2584 2022-11-23T01:30:35.3711167Z [2022-11-23 01:22:59,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3711525Z [2022-11-23 01:22:59,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable()] 2022-11-23T01:30:35.3711842Z [2022-11-23 01:22:59,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.3712191Z [2022-11-23 01:22:59,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3712566Z [2022-11-23 01:22:59,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3712894Z [2022-11-23 01:22:59,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TupleVariable()] 2022-11-23T01:30:35.3713278Z [2022-11-23 01:22:59,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3713516Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:35.3713827Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2585 2022-11-23T01:30:35.3714069Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [] 2022-11-23T01:30:35.3714310Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.3714554Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3714931Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3715173Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3715404Z [2022-11-23 01:22:59,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3715678Z [2022-11-23 01:22:59,520] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3715925Z [2022-11-23 01:22:59,524] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3716112Z [2022-11-23 01:22:59,525] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3716246Z __compiled_fn_49 .318 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3716336Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3716422Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3716506Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.3716590Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:35.3716802Z call_function, mm, , (ex_1_, ex_2_), {} 2022-11-23T01:30:35.3717041Z call_function, narrow, , (mm, 1, 0, 100), {} 2022-11-23T01:30:35.3717275Z call_function, mm_1, , (narrow, ex_3_), {} 2022-11-23T01:30:35.3717511Z call_function, cat, , ((mm_1, ex_0_), 1), {} 2022-11-23T01:30:35.3717607Z output, output, output, ((cat,),), {} 2022-11-23T01:30:35.3717612Z 2022-11-23T01:30:35.3717938Z [2022-11-23 01:22:59,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3718033Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3718124Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3718197Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3718288Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3718373Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3718463Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3718538Z 12 RETURN_VALUE 2022-11-23T01:30:35.3718546Z 2022-11-23T01:30:35.3718609Z 2022-11-23T01:30:35.3718937Z [2022-11-23 01:22:59,525] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3719045Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_49) 2022-11-23T01:30:35.3719120Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3719209Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3719285Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3719372Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3719458Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3719532Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3719618Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3719690Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3719765Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.3719856Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3719942Z 22 LOAD_CONST 4 (3) 2022-11-23T01:30:35.3720101Z 24 BINARY_SUBSCR 2022-11-23T01:30:35.3720229Z 26 CALL_FUNCTION 4 2022-11-23T01:30:35.3720338Z 28 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3720425Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3720516Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3720596Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3720684Z 36 BUILD_TUPLE 1 2022-11-23T01:30:35.3720759Z 38 RETURN_VALUE 2022-11-23T01:30:35.3720765Z 2022-11-23T01:30:35.3720826Z 2022-11-23T01:30:35.3721015Z [2022-11-23 01:22:59,526] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3721072Z - 2022-11-23T01:30:35.3721191Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3721258Z { 2022-11-23T01:30:35.3721428Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3721615Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:35.3721737Z 'obj_weakref': None 2022-11-23T01:30:35.3721963Z 'guarded_class': 2022-11-23T01:30:35.3722027Z } 2022-11-23T01:30:35.3722078Z 2022-11-23T01:30:35.3722147Z - 2022-11-23T01:30:35.3722273Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3722336Z { 2022-11-23T01:30:35.3722479Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3722585Z 'code': None, 2022-11-23T01:30:35.3722783Z 'obj_weakref': 2022-11-23T01:30:35.3723034Z 'guarded_class': 2022-11-23T01:30:35.3723100Z } 2022-11-23T01:30:35.3723165Z 2022-11-23T01:30:35.3723234Z - 2022-11-23T01:30:35.3723354Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3723420Z { 2022-11-23T01:30:35.3723550Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3723655Z 'code': None, 2022-11-23T01:30:35.3723862Z 'obj_weakref': 2022-11-23T01:30:35.3724112Z 'guarded_class': 2022-11-23T01:30:35.3724176Z } 2022-11-23T01:30:35.3724238Z 2022-11-23T01:30:35.3724307Z - 2022-11-23T01:30:35.3724415Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.3724478Z { 2022-11-23T01:30:35.3724617Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3724721Z 'code': None, 2022-11-23T01:30:35.3725043Z 'obj_weakref': 2022-11-23T01:30:35.3725296Z 'guarded_class': 2022-11-23T01:30:35.3725363Z } 2022-11-23T01:30:35.3725427Z 2022-11-23T01:30:35.3725484Z - 2022-11-23T01:30:35.3725606Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:35.3725669Z { 2022-11-23T01:30:35.3725809Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3725914Z 'code': None, 2022-11-23T01:30:35.3726119Z 'obj_weakref': 2022-11-23T01:30:35.3726367Z 'guarded_class': 2022-11-23T01:30:35.3726417Z } 2022-11-23T01:30:35.3726482Z 2022-11-23T01:30:35.3726553Z - 2022-11-23T01:30:35.3726683Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3726750Z { 2022-11-23T01:30:35.3726883Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3727055Z 'code': ['___check_obj_id(model, 140534642200720)'], 2022-11-23T01:30:35.3727222Z 'obj_weakref': None 2022-11-23T01:30:35.3727456Z 'guarded_class': 2022-11-23T01:30:35.3727521Z } 2022-11-23T01:30:35.3727585Z 2022-11-23T01:30:35.3727656Z - 2022-11-23T01:30:35.3727779Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3727829Z { 2022-11-23T01:30:35.3727966Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3728185Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3728304Z 'obj_weakref': None 2022-11-23T01:30:35.3728528Z 'guarded_class': 2022-11-23T01:30:35.3728629Z } 2022-11-23T01:30:35.3728692Z 2022-11-23T01:30:35.3728762Z - 2022-11-23T01:30:35.3728882Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3728949Z { 2022-11-23T01:30:35.3729068Z 'guard_types': None, 2022-11-23T01:30:35.3729172Z 'code': None, 2022-11-23T01:30:35.3729289Z 'obj_weakref': None 2022-11-23T01:30:35.3729410Z 'guarded_class': None 2022-11-23T01:30:35.3729460Z } 2022-11-23T01:30:35.3729524Z 2022-11-23T01:30:35.3729782Z [2022-11-23 01:22:59,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48 2022-11-23T01:30:35.3730154Z [2022-11-23 01:23:00,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ol/col6d7dkofvh2czipnksq3pgt4ytqa7sve5alg5usmxokzrjlkn2.py 2022-11-23T01:30:35.3730418Z [2022-11-23 01:23:00,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48 2022-11-23T01:30:35.3730427Z 2022-11-23T01:30:35.3730521Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3730591Z import torch 2022-11-23T01:30:35.3730661Z import random 2022-11-23T01:30:35.3730766Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3730886Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3730892Z 2022-11-23T01:30:35.3730969Z aten = torch.ops.aten 2022-11-23T01:30:35.3731102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3731193Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3731198Z 2022-11-23T01:30:35.3731203Z 2022-11-23T01:30:35.3731336Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3731539Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3731659Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3731746Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.3731812Z { 2022-11-23T01:30:35.3731910Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3731974Z { 2022-11-23T01:30:35.3732050Z #pragma omp for 2022-11-23T01:30:35.3732135Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.3732198Z { 2022-11-23T01:30:35.3732269Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:35.3732334Z { 2022-11-23T01:30:35.3732482Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (256*i0)); 2022-11-23T01:30:35.3732587Z tmp0.store(out_ptr0 + (8*i1) + (512*i0)); 2022-11-23T01:30:35.3732650Z } 2022-11-23T01:30:35.3732741Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.3732830Z for(long i1=256; i1<256; i1+=1) 2022-11-23T01:30:35.3732881Z { 2022-11-23T01:30:35.3732976Z auto tmp0 = in_ptr0[i1 + (256*i0)]; 2022-11-23T01:30:35.3733067Z out_ptr0[i1 + (512*i0)] = tmp0; 2022-11-23T01:30:35.3733132Z } 2022-11-23T01:30:35.3733194Z } 2022-11-23T01:30:35.3733256Z } 2022-11-23T01:30:35.3733317Z } 2022-11-23T01:30:35.3733382Z ''') 2022-11-23T01:30:35.3733387Z 2022-11-23T01:30:35.3733422Z 2022-11-23T01:30:35.3733511Z async_compile.wait(globals()) 2022-11-23T01:30:35.3733584Z del async_compile 2022-11-23T01:30:35.3733588Z 2022-11-23T01:30:35.3733659Z def call(args): 2022-11-23T01:30:35.3733749Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.3733819Z args.clear() 2022-11-23T01:30:35.3734025Z buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3734117Z aten.mm.out(arg1_1, arg2_1, out=buf0) 2022-11-23T01:30:35.3734171Z del arg1_1 2022-11-23T01:30:35.3734236Z del arg2_1 2022-11-23T01:30:35.3734439Z buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3734540Z buf1 = as_strided(buf3, (256, 256), (512, 1)) # alias 2022-11-23T01:30:35.3734660Z aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1) 2022-11-23T01:30:35.3734756Z del arg3_1 2022-11-23T01:30:35.3734820Z del buf0 2022-11-23T01:30:35.3734915Z buf2 = as_strided(buf3, (256, 256), (512, 1), 256) # alias 2022-11-23T01:30:35.3735050Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.3735117Z del arg0_1 2022-11-23T01:30:35.3735188Z return (buf3, ) 2022-11-23T01:30:35.3735193Z 2022-11-23T01:30:35.3735198Z 2022-11-23T01:30:35.3735274Z if __name__ == "__main__": 2022-11-23T01:30:35.3735391Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3735515Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3735707Z arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3735911Z arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3736111Z arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3736311Z arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3736442Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.3736447Z 2022-11-23T01:30:35.3736513Z ok (1.512s) 2022-11-23T01:30:35.3736828Z test_cat_upcasting_cpu (__main__.CpuTests) ... [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3737146Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3737365Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3737606Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3737883Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3738211Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3738555Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3738882Z [2022-11-23 01:23:01,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3739258Z [2022-11-23 01:23:01,005] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3739352Z 2568 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3739442Z 2 LOAD_ATTR 1 (cat) 2022-11-23T01:30:35.3739540Z 4 LOAD_METHOD 2 (default) 2022-11-23T01:30:35.3739621Z 6 LOAD_FAST 0 (arg4_1) 2022-11-23T01:30:35.3739743Z 8 LOAD_FAST 1 (slice_7) 2022-11-23T01:30:35.3739832Z 10 BUILD_LIST 2 2022-11-23T01:30:35.3739972Z 12 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3740059Z 14 CALL_METHOD 2 2022-11-23T01:30:35.3740152Z 16 STORE_FAST 2 (cat_1) 2022-11-23T01:30:35.3740158Z 2022-11-23T01:30:35.3740246Z 2569 18 LOAD_FAST 2 (cat_1) 2022-11-23T01:30:35.3740334Z 20 BUILD_TUPLE 1 2022-11-23T01:30:35.3740396Z 22 RETURN_VALUE 2022-11-23T01:30:35.3740457Z 2022-11-23T01:30:35.3740462Z 2022-11-23T01:30:35.3740774Z [2022-11-23 01:23:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2568 2022-11-23T01:30:35.3741018Z [2022-11-23 01:23:01,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3741323Z [2022-11-23 01:23:01,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable()] 2022-11-23T01:30:35.3741583Z [2022-11-23 01:23:01,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)] 2022-11-23T01:30:35.3741851Z [2022-11-23 01:23:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)] 2022-11-23T01:30:35.3742149Z [2022-11-23 01:23:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()] 2022-11-23T01:30:35.3742469Z [2022-11-23 01:23:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3742755Z [2022-11-23 01:23:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()] 2022-11-23T01:30:35.3743072Z [2022-11-23 01:23:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3743317Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()] 2022-11-23T01:30:35.3743626Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2569 2022-11-23T01:30:35.3743838Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 [] 2022-11-23T01:30:35.3744080Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.3744322Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3744703Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3744950Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3745184Z [2022-11-23 01:23:01,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3745425Z [2022-11-23 01:23:01,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3745671Z [2022-11-23 01:23:01,022] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3745859Z [2022-11-23 01:23:01,023] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3745992Z __compiled_fn_50 .324 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3746082Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3746170Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3746302Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {} 2022-11-23T01:30:35.3746448Z output, output, output, ((cat_default,),), {} 2022-11-23T01:30:35.3746454Z 2022-11-23T01:30:35.3746778Z [2022-11-23 01:23:01,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3746860Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3746951Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3747036Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3747130Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3747214Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3747301Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3747378Z 12 RETURN_VALUE 2022-11-23T01:30:35.3747382Z 2022-11-23T01:30:35.3747430Z 2022-11-23T01:30:35.3747783Z [2022-11-23 01:23:01,023] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3747896Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_50) 2022-11-23T01:30:35.3747986Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3748077Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3748156Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3748243Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3748330Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3748393Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3748479Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3748580Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3748682Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3748769Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3748847Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3748933Z 24 BUILD_TUPLE 1 2022-11-23T01:30:35.3748994Z 26 RETURN_VALUE 2022-11-23T01:30:35.3748999Z 2022-11-23T01:30:35.3749061Z 2022-11-23T01:30:35.3749242Z [2022-11-23 01:23:01,024] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3749313Z - 2022-11-23T01:30:35.3749432Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3749496Z { 2022-11-23T01:30:35.3749636Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3749807Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3749926Z 'obj_weakref': None 2022-11-23T01:30:35.3750151Z 'guarded_class': 2022-11-23T01:30:35.3750215Z } 2022-11-23T01:30:35.3750278Z 2022-11-23T01:30:35.3750348Z - 2022-11-23T01:30:35.3750471Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3750523Z { 2022-11-23T01:30:35.3750665Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3750772Z 'code': None, 2022-11-23T01:30:35.3750985Z 'obj_weakref': 2022-11-23T01:30:35.3751242Z 'guarded_class': 2022-11-23T01:30:35.3751305Z } 2022-11-23T01:30:35.3751369Z 2022-11-23T01:30:35.3751425Z - 2022-11-23T01:30:35.3751548Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3751611Z { 2022-11-23T01:30:35.3751752Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3751859Z 'code': None, 2022-11-23T01:30:35.3752067Z 'obj_weakref': 2022-11-23T01:30:35.3752313Z 'guarded_class': 2022-11-23T01:30:35.3752366Z } 2022-11-23T01:30:35.3752430Z 2022-11-23T01:30:35.3752498Z - 2022-11-23T01:30:35.3752658Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3752723Z { 2022-11-23T01:30:35.3752857Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3753024Z 'code': ['___check_obj_id(model, 140534431837360)'], 2022-11-23T01:30:35.3753128Z 'obj_weakref': None 2022-11-23T01:30:35.3753356Z 'guarded_class': 2022-11-23T01:30:35.3753421Z } 2022-11-23T01:30:35.3753484Z 2022-11-23T01:30:35.3753552Z - 2022-11-23T01:30:35.3753674Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3753735Z { 2022-11-23T01:30:35.3753858Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3754073Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3754222Z 'obj_weakref': None 2022-11-23T01:30:35.3754448Z 'guarded_class': 2022-11-23T01:30:35.3754511Z } 2022-11-23T01:30:35.3754573Z 2022-11-23T01:30:35.3754641Z - 2022-11-23T01:30:35.3754757Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3754821Z { 2022-11-23T01:30:35.3754940Z 'guard_types': None, 2022-11-23T01:30:35.3755047Z 'code': None, 2022-11-23T01:30:35.3755163Z 'obj_weakref': None 2022-11-23T01:30:35.3755285Z 'guarded_class': None 2022-11-23T01:30:35.3755349Z } 2022-11-23T01:30:35.3755399Z 2022-11-23T01:30:35.3755658Z [2022-11-23 01:23:01,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49 2022-11-23T01:30:35.3756026Z [2022-11-23 01:23:02,459] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qn/cqn24bx53wlrbumwblpi7bwvtnkqirmsrvqdguezynmbavzrgqvp.py 2022-11-23T01:30:35.3756291Z [2022-11-23 01:23:02,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49 2022-11-23T01:30:35.3756296Z 2022-11-23T01:30:35.3756389Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3756459Z import torch 2022-11-23T01:30:35.3756529Z import random 2022-11-23T01:30:35.3756644Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3756752Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3756757Z 2022-11-23T01:30:35.3756837Z aten = torch.ops.aten 2022-11-23T01:30:35.3756978Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3757070Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3757075Z 2022-11-23T01:30:35.3757079Z 2022-11-23T01:30:35.3757212Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3757418Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3757539Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3757647Z const half* __restrict__ in_ptr1, 2022-11-23T01:30:35.3757731Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3757828Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3757889Z { 2022-11-23T01:30:35.3757988Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3758050Z { 2022-11-23T01:30:35.3758127Z #pragma omp for 2022-11-23T01:30:35.3758210Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3758259Z { 2022-11-23T01:30:35.3758341Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.3758405Z { 2022-11-23T01:30:35.3758549Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (16*i0)); 2022-11-23T01:30:35.3758653Z tmp0.store(out_ptr0 + (8*i1) + (36*i0)); 2022-11-23T01:30:35.3758719Z } 2022-11-23T01:30:35.3758812Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.3758885Z for(long i1=16; i1<16; i1+=1) 2022-11-23T01:30:35.3758975Z { 2022-11-23T01:30:35.3759072Z auto tmp0 = in_ptr0[i1 + (16*i0)]; 2022-11-23T01:30:35.3759163Z out_ptr0[i1 + (36*i0)] = tmp0; 2022-11-23T01:30:35.3759226Z } 2022-11-23T01:30:35.3759289Z } 2022-11-23T01:30:35.3759366Z #pragma omp for 2022-11-23T01:30:35.3759434Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3759495Z { 2022-11-23T01:30:35.3759575Z #pragma GCC ivdep 2022-11-23T01:30:35.3759663Z for(long i1=0; i1<20; i1+=1) 2022-11-23T01:30:35.3759725Z { 2022-11-23T01:30:35.3759789Z { 2022-11-23T01:30:35.3759843Z { 2022-11-23T01:30:35.3759965Z auto tmp0 = static_cast(in_ptr1[i1 + (20*i0)]); 2022-11-23T01:30:35.3760208Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.3760302Z out_ptr1[i1 + (36*i0)] = tmp1; 2022-11-23T01:30:35.3760370Z } 2022-11-23T01:30:35.3760435Z } 2022-11-23T01:30:35.3760498Z } 2022-11-23T01:30:35.3760546Z } 2022-11-23T01:30:35.3760606Z } 2022-11-23T01:30:35.3760666Z } 2022-11-23T01:30:35.3760751Z ''') 2022-11-23T01:30:35.3760756Z 2022-11-23T01:30:35.3760760Z 2022-11-23T01:30:35.3760848Z async_compile.wait(globals()) 2022-11-23T01:30:35.3760920Z del async_compile 2022-11-23T01:30:35.3760925Z 2022-11-23T01:30:35.3760995Z def call(args): 2022-11-23T01:30:35.3761056Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3761128Z args.clear() 2022-11-23T01:30:35.3761327Z buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3761425Z buf0 = as_strided(buf2, (8, 16), (36, 1)) # alias 2022-11-23T01:30:35.3761528Z buf1 = as_strided(buf2, (8, 20), (36, 1), 16) # alias 2022-11-23T01:30:35.3761720Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3761790Z del arg0_1 2022-11-23T01:30:35.3761855Z del arg1_1 2022-11-23T01:30:35.3761913Z return (buf2, ) 2022-11-23T01:30:35.3761917Z 2022-11-23T01:30:35.3761921Z 2022-11-23T01:30:35.3761995Z if __name__ == "__main__": 2022-11-23T01:30:35.3762108Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3762231Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3762428Z arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3762622Z arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16) 2022-11-23T01:30:35.3762735Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3762740Z 2022-11-23T01:30:35.3762804Z ok (1.463s) 2022-11-23T01:30:35.3763095Z test_cauchy_cpu (__main__.CpuTests) ... [2022-11-23 01:23:02,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3763415Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3763632Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3763883Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3764159Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3764475Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3764948Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3765370Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3765750Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3765845Z 2358 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3765925Z 2 LOAD_METHOD 1 (sum) 2022-11-23T01:30:35.3766015Z 4 LOAD_CONST 1 (1) 2022-11-23T01:30:35.3766107Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3766204Z 8 LOAD_METHOD 2 (unsqueeze) 2022-11-23T01:30:35.3766292Z 10 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3766429Z 12 LOAD_CONST 2 (-1) 2022-11-23T01:30:35.3766554Z 14 CALL_METHOD 2 2022-11-23T01:30:35.3766630Z 16 LOAD_FAST 1 (y) 2022-11-23T01:30:35.3766712Z 18 BINARY_SUBTRACT 2022-11-23T01:30:35.3766796Z 20 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.3766882Z 22 CALL_METHOD 1 2022-11-23T01:30:35.3766958Z 24 RETURN_VALUE 2022-11-23T01:30:35.3767018Z 2022-11-23T01:30:35.3767023Z 2022-11-23T01:30:35.3767346Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2358 2022-11-23T01:30:35.3767563Z [2022-11-23 01:23:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3767911Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:30:35.3768232Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable()] 2022-11-23T01:30:35.3768595Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3769113Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(), ConstantVariable(int), TorchVariable()] 2022-11-23T01:30:35.3769582Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int), TorchVariable()] 2022-11-23T01:30:35.3770086Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), ConstantVariable(int), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3770631Z [2022-11-23 01:23:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), ConstantVariable(int), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3771011Z [2022-11-23 01:23:02,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.3771440Z [2022-11-23 01:23:02,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3771876Z [2022-11-23 01:23:02,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.3772225Z [2022-11-23 01:23:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3772470Z [2022-11-23 01:23:02,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3772847Z [2022-11-23 01:23:02,471] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3773091Z [2022-11-23 01:23:02,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.3773356Z [2022-11-23 01:23:02,471] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3773596Z [2022-11-23 01:23:02,472] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3773843Z [2022-11-23 01:23:02,478] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3774029Z [2022-11-23 01:23:02,478] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3774165Z __compiled_fn_51 .330 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3774254Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3774340Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3774588Z call_function, unsqueeze, , (ex_0_, -1), {} 2022-11-23T01:30:35.3774773Z call_function, sub, , (unsqueeze, ex_1_), {} 2022-11-23T01:30:35.3774940Z call_function, truediv, , (1, sub), {} 2022-11-23T01:30:35.3775169Z call_function, sum_1, , (truediv,), {} 2022-11-23T01:30:35.3775266Z output, output, output, ((sum_1,),), {} 2022-11-23T01:30:35.3775271Z 2022-11-23T01:30:35.3775594Z [2022-11-23 01:23:02,478] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3775690Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3775782Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3775867Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3775959Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3776031Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3776122Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3776198Z 12 RETURN_VALUE 2022-11-23T01:30:35.3776204Z 2022-11-23T01:30:35.3776266Z 2022-11-23T01:30:35.3776592Z [2022-11-23 01:23:02,478] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3776702Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_51) 2022-11-23T01:30:35.3776790Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3776880Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3776942Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3777029Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3777121Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3777196Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3777286Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3777376Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.3777452Z 18 RETURN_VALUE 2022-11-23T01:30:35.3777457Z 2022-11-23T01:30:35.3777504Z 2022-11-23T01:30:35.3777687Z [2022-11-23 01:23:02,479] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3777760Z - 2022-11-23T01:30:35.3777878Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3777942Z { 2022-11-23T01:30:35.3778118Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3778307Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3778412Z 'obj_weakref': None 2022-11-23T01:30:35.3778637Z 'guarded_class': 2022-11-23T01:30:35.3778702Z } 2022-11-23T01:30:35.3778766Z 2022-11-23T01:30:35.3778836Z - 2022-11-23T01:30:35.3778958Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3779024Z { 2022-11-23T01:30:35.3779151Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3779255Z 'code': None, 2022-11-23T01:30:35.3779467Z 'obj_weakref': 2022-11-23T01:30:35.3779753Z 'guarded_class': 2022-11-23T01:30:35.3779820Z } 2022-11-23T01:30:35.3779887Z 2022-11-23T01:30:35.3779955Z - 2022-11-23T01:30:35.3780065Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3780128Z { 2022-11-23T01:30:35.3780270Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3780377Z 'code': None, 2022-11-23T01:30:35.3780586Z 'obj_weakref': 2022-11-23T01:30:35.3780830Z 'guarded_class': 2022-11-23T01:30:35.3780894Z } 2022-11-23T01:30:35.3780944Z 2022-11-23T01:30:35.3781012Z - 2022-11-23T01:30:35.3781142Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3781205Z { 2022-11-23T01:30:35.3781339Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3781510Z 'code': ['___check_obj_id(model, 140534431034832)'], 2022-11-23T01:30:35.3781634Z 'obj_weakref': None 2022-11-23T01:30:35.3781852Z 'guarded_class': 2022-11-23T01:30:35.3781916Z } 2022-11-23T01:30:35.3781978Z 2022-11-23T01:30:35.3782049Z - 2022-11-23T01:30:35.3782169Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3782233Z { 2022-11-23T01:30:35.3782368Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3782572Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3782690Z 'obj_weakref': None 2022-11-23T01:30:35.3782911Z 'guarded_class': 2022-11-23T01:30:35.3782975Z } 2022-11-23T01:30:35.3783041Z 2022-11-23T01:30:35.3783110Z - 2022-11-23T01:30:35.3783242Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3783294Z { 2022-11-23T01:30:35.3783415Z 'guard_types': None, 2022-11-23T01:30:35.3783523Z 'code': None, 2022-11-23T01:30:35.3783642Z 'obj_weakref': None 2022-11-23T01:30:35.3783762Z 'guarded_class': None 2022-11-23T01:30:35.3783827Z } 2022-11-23T01:30:35.3783889Z 2022-11-23T01:30:35.3784135Z [2022-11-23 01:23:02,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50 2022-11-23T01:30:35.3784505Z [2022-11-23 01:23:03,892] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pk/cpkl5euqk7zvcpsslls53z4so4u3c4u455kuqoodoqxkw4sbywxq.py 2022-11-23T01:30:35.3784764Z [2022-11-23 01:23:03,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50 2022-11-23T01:30:35.3784770Z 2022-11-23T01:30:35.3784867Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3784934Z import torch 2022-11-23T01:30:35.3785004Z import random 2022-11-23T01:30:35.3785157Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3785279Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3785285Z 2022-11-23T01:30:35.3785349Z aten = torch.ops.aten 2022-11-23T01:30:35.3785485Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3785578Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3785582Z 2022-11-23T01:30:35.3785586Z 2022-11-23T01:30:35.3785720Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3785924Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3786042Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3786145Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3786244Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.3786321Z { 2022-11-23T01:30:35.3786384Z { 2022-11-23T01:30:35.3786446Z { 2022-11-23T01:30:35.3786523Z float tmp6 = 0; 2022-11-23T01:30:35.3786632Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3786695Z { 2022-11-23T01:30:35.3786798Z #pragma omp for reduction(+:tmp6) 2022-11-23T01:30:35.3786875Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.3786940Z { 2022-11-23T01:30:35.3787030Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:35.3787096Z { 2022-11-23T01:30:35.3787164Z { 2022-11-23T01:30:35.3787258Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3787351Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:35.3787480Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.3787568Z auto tmp3 = 1 / tmp2; 2022-11-23T01:30:35.3787677Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.3787770Z auto tmp5 = tmp3 * tmp4; 2022-11-23T01:30:35.3787853Z tmp6 += tmp5; 2022-11-23T01:30:35.3787921Z } 2022-11-23T01:30:35.3787987Z } 2022-11-23T01:30:35.3788039Z } 2022-11-23T01:30:35.3788101Z } 2022-11-23T01:30:35.3788179Z out_ptr0[0] = tmp6; 2022-11-23T01:30:35.3788240Z } 2022-11-23T01:30:35.3788301Z } 2022-11-23T01:30:35.3788361Z } 2022-11-23T01:30:35.3788427Z ''') 2022-11-23T01:30:35.3788432Z 2022-11-23T01:30:35.3788450Z 2022-11-23T01:30:35.3788525Z async_compile.wait(globals()) 2022-11-23T01:30:35.3788595Z del async_compile 2022-11-23T01:30:35.3788600Z 2022-11-23T01:30:35.3788671Z def call(args): 2022-11-23T01:30:35.3788746Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3788816Z args.clear() 2022-11-23T01:30:35.3789001Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3789166Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.3789224Z del arg0_1 2022-11-23T01:30:35.3789291Z del arg1_1 2022-11-23T01:30:35.3789361Z return (buf0, ) 2022-11-23T01:30:35.3789366Z 2022-11-23T01:30:35.3789370Z 2022-11-23T01:30:35.3789444Z if __name__ == "__main__": 2022-11-23T01:30:35.3789557Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3789680Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3789874Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3790055Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3790169Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3790174Z 2022-11-23T01:30:35.3790239Z ok (1.432s) 2022-11-23T01:30:35.3790541Z test_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3790906Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3791126Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3791378Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3791653Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3791973Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3792318Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3792668Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3793037Z [2022-11-23 01:23:03,898] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3793129Z 873 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3793224Z 2 LOAD_METHOD 0 (clamp) 2022-11-23T01:30:35.3793362Z 4 LOAD_CONST 1 (-0.1) 2022-11-23T01:30:35.3793455Z 6 LOAD_CONST 2 (0.1) 2022-11-23T01:30:35.3793540Z 8 CALL_METHOD 2 2022-11-23T01:30:35.3793630Z 10 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3793711Z 12 LOAD_METHOD 0 (clamp) 2022-11-23T01:30:35.3793799Z 14 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3793884Z 16 CALL_METHOD 1 2022-11-23T01:30:35.3793974Z 18 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.3794066Z 20 LOAD_ATTR 0 (clamp) 2022-11-23T01:30:35.3794153Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3794236Z 24 LOAD_FAST 1 (b) 2022-11-23T01:30:35.3794296Z 26 BINARY_ADD 2022-11-23T01:30:35.3794382Z 28 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3794525Z 30 LOAD_CONST 4 (('max',)) 2022-11-23T01:30:35.3794636Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.3794722Z 34 BUILD_TUPLE 3 2022-11-23T01:30:35.3794798Z 36 RETURN_VALUE 2022-11-23T01:30:35.3794859Z 2022-11-23T01:30:35.3794864Z 2022-11-23T01:30:35.3795174Z [2022-11-23 01:23:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:873 2022-11-23T01:30:35.3795373Z [2022-11-23 01:23:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.3795619Z [2022-11-23 01:23:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()] 2022-11-23T01:30:35.3795900Z [2022-11-23 01:23:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)] 2022-11-23T01:30:35.3796215Z [2022-11-23 01:23:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)] 2022-11-23T01:30:35.3796578Z [2022-11-23 01:23:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:35.3796811Z [2022-11-23 01:23:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.3797085Z [2022-11-23 01:23:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3797450Z [2022-11-23 01:23:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)] 2022-11-23T01:30:35.3797797Z [2022-11-23 01:23:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)] 2022-11-23T01:30:35.3798067Z [2022-11-23 01:23:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3798481Z [2022-11-23 01:23:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3798861Z [2022-11-23 01:23:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3799311Z [2022-11-23 01:23:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3799755Z [2022-11-23 01:23:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3800259Z [2022-11-23 01:23:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.3800723Z [2022-11-23 01:23:03,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3801231Z [2022-11-23 01:23:03,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:35.3801530Z [2022-11-23 01:23:03,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3801778Z [2022-11-23 01:23:03,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3802157Z [2022-11-23 01:23:03,906] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3802400Z [2022-11-23 01:23:03,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3802635Z [2022-11-23 01:23:03,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3802888Z [2022-11-23 01:23:03,907] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3803135Z [2022-11-23 01:23:03,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3803311Z [2022-11-23 01:23:03,913] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3803441Z __compiled_fn_52 .336 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3803532Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3803619Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3803770Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {} 2022-11-23T01:30:35.3803871Z call_method, clamp_1, clamp, (ex_1_, 0), {} 2022-11-23T01:30:35.3804048Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.3804280Z call_function, clamp_2, , (add,), {'max': 0} 2022-11-23T01:30:35.3804436Z output, output, output, ((clamp, clamp_1, clamp_2),), {} 2022-11-23T01:30:35.3804442Z 2022-11-23T01:30:35.3804859Z [2022-11-23 01:23:03,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3804954Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3805045Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3805132Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3805224Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3805308Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3805383Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3805458Z 12 RETURN_VALUE 2022-11-23T01:30:35.3805463Z 2022-11-23T01:30:35.3805574Z 2022-11-23T01:30:35.3805897Z [2022-11-23 01:23:03,914] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3806008Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_52) 2022-11-23T01:30:35.3806097Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3806185Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3806262Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3806336Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3806421Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3806495Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3806582Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.3806686Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3806787Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3806875Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3806939Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3807039Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3807129Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3807204Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3807304Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3807390Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3807462Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3807537Z 36 BUILD_TUPLE 3 2022-11-23T01:30:35.3807611Z 38 RETURN_VALUE 2022-11-23T01:30:35.3807616Z 2022-11-23T01:30:35.3807676Z 2022-11-23T01:30:35.3807861Z [2022-11-23 01:23:03,915] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3807931Z - 2022-11-23T01:30:35.3808050Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3808112Z { 2022-11-23T01:30:35.3808239Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3808425Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.3808543Z 'obj_weakref': None 2022-11-23T01:30:35.3808771Z 'guarded_class': 2022-11-23T01:30:35.3808836Z } 2022-11-23T01:30:35.3808898Z 2022-11-23T01:30:35.3808966Z - 2022-11-23T01:30:35.3809076Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3809139Z { 2022-11-23T01:30:35.3809282Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3809389Z 'code': None, 2022-11-23T01:30:35.3809603Z 'obj_weakref': 2022-11-23T01:30:35.3809853Z 'guarded_class': 2022-11-23T01:30:35.3809915Z } 2022-11-23T01:30:35.3809965Z 2022-11-23T01:30:35.3810035Z - 2022-11-23T01:30:35.3810157Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3810219Z { 2022-11-23T01:30:35.3810398Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3810506Z 'code': None, 2022-11-23T01:30:35.3810713Z 'obj_weakref': 2022-11-23T01:30:35.3810950Z 'guarded_class': 2022-11-23T01:30:35.3811013Z } 2022-11-23T01:30:35.3811073Z 2022-11-23T01:30:35.3811141Z - 2022-11-23T01:30:35.3811272Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3811334Z { 2022-11-23T01:30:35.3811467Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3811621Z 'code': ['___check_obj_id(model, 140534431371984)'], 2022-11-23T01:30:35.3811739Z 'obj_weakref': None 2022-11-23T01:30:35.3812001Z 'guarded_class': 2022-11-23T01:30:35.3812065Z } 2022-11-23T01:30:35.3812126Z 2022-11-23T01:30:35.3812197Z - 2022-11-23T01:30:35.3812317Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3812369Z { 2022-11-23T01:30:35.3812503Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3812718Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3812837Z 'obj_weakref': None 2022-11-23T01:30:35.3813056Z 'guarded_class': 2022-11-23T01:30:35.3813117Z } 2022-11-23T01:30:35.3813178Z 2022-11-23T01:30:35.3813233Z - 2022-11-23T01:30:35.3813365Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3813428Z { 2022-11-23T01:30:35.3813545Z 'guard_types': None, 2022-11-23T01:30:35.3813652Z 'code': None, 2022-11-23T01:30:35.3813767Z 'obj_weakref': None 2022-11-23T01:30:35.3813886Z 'guarded_class': None 2022-11-23T01:30:35.3813937Z } 2022-11-23T01:30:35.3814000Z 2022-11-23T01:30:35.3814258Z [2022-11-23 01:23:03,927] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51 2022-11-23T01:30:35.3814617Z [2022-11-23 01:23:05,351] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6e/c6eko4icixqrvbnf26tiaehny5ho2h336vdge27xha5ocdwexjk5.py 2022-11-23T01:30:35.3814878Z [2022-11-23 01:23:05,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51 2022-11-23T01:30:35.3814883Z 2022-11-23T01:30:35.3814976Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3815044Z import torch 2022-11-23T01:30:35.3815112Z import random 2022-11-23T01:30:35.3815213Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3815334Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3815340Z 2022-11-23T01:30:35.3815416Z aten = torch.ops.aten 2022-11-23T01:30:35.3815551Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3815642Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3815646Z 2022-11-23T01:30:35.3815651Z 2022-11-23T01:30:35.3815783Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3815987Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3816105Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3816195Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3816294Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3816389Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.3816483Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.3816543Z { 2022-11-23T01:30:35.3816643Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3816705Z { 2022-11-23T01:30:35.3816769Z #pragma omp for 2022-11-23T01:30:35.3816852Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3816942Z { 2022-11-23T01:30:35.3817091Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.3817221Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.3817442Z auto tmp1 = at::vec::Vectorized(static_cast(-0.10000000149011612)); 2022-11-23T01:30:35.3817550Z auto tmp2 = at::vec::maximum(tmp0, tmp1); 2022-11-23T01:30:35.3817689Z auto tmp3 = at::vec::Vectorized(static_cast(0.10000000149011612)); 2022-11-23T01:30:35.3817782Z auto tmp4 = at::vec::minimum(tmp2, tmp3); 2022-11-23T01:30:35.3817914Z auto tmp6 = at::vec::Vectorized(static_cast(0.0)); 2022-11-23T01:30:35.3818019Z auto tmp7 = at::vec::maximum(tmp5, tmp6); 2022-11-23T01:30:35.3818138Z auto tmp8 = tmp0 + tmp5; 2022-11-23T01:30:35.3818242Z auto tmp9 = at::vec::minimum(tmp8, tmp6); 2022-11-23T01:30:35.3818335Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.3818424Z tmp7.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.3818510Z tmp9.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.3818559Z } 2022-11-23T01:30:35.3818655Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3818736Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.3818801Z { 2022-11-23T01:30:35.3818883Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3818964Z auto tmp5 = in_ptr1[i0]; 2022-11-23T01:30:35.3819132Z auto tmp1 = static_cast(-0.10000000149011612); 2022-11-23T01:30:35.3819217Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:30:35.3819325Z auto tmp3 = static_cast(0.10000000149011612); 2022-11-23T01:30:35.3819424Z auto tmp4 = std::min(tmp2, tmp3); 2022-11-23T01:30:35.3819525Z auto tmp6 = static_cast(0.0); 2022-11-23T01:30:35.3819619Z auto tmp7 = std::max(tmp5, tmp6); 2022-11-23T01:30:35.3819707Z auto tmp8 = tmp0 + tmp5; 2022-11-23T01:30:35.3819803Z auto tmp9 = std::min(tmp8, tmp6); 2022-11-23T01:30:35.3819869Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.3819949Z out_ptr1[i0] = tmp7; 2022-11-23T01:30:35.3820025Z out_ptr2[i0] = tmp9; 2022-11-23T01:30:35.3820087Z } 2022-11-23T01:30:35.3820150Z } 2022-11-23T01:30:35.3820210Z } 2022-11-23T01:30:35.3820287Z ''') 2022-11-23T01:30:35.3820292Z 2022-11-23T01:30:35.3820297Z 2022-11-23T01:30:35.3820373Z async_compile.wait(globals()) 2022-11-23T01:30:35.3820445Z del async_compile 2022-11-23T01:30:35.3820449Z 2022-11-23T01:30:35.3820518Z def call(args): 2022-11-23T01:30:35.3820595Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.3820667Z args.clear() 2022-11-23T01:30:35.3820866Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3821059Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3821246Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3821449Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.3821519Z del arg0_1 2022-11-23T01:30:35.3821584Z del arg1_1 2022-11-23T01:30:35.3821665Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.3821670Z 2022-11-23T01:30:35.3821674Z 2022-11-23T01:30:35.3821750Z if __name__ == "__main__": 2022-11-23T01:30:35.3821865Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3821987Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3822181Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3822363Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3822476Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.3822519Z 2022-11-23T01:30:35.3822587Z ok (1.459s) 2022-11-23T01:30:35.3822890Z test_clone_cpu (__main__.CpuTests) ... [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3823209Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3823426Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3823680Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3823957Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3824307Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3824642Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3824961Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3825331Z [2022-11-23 01:23:05,357] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3825426Z 2448 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3825517Z 2 LOAD_METHOD 1 (clone) 2022-11-23T01:30:35.3825607Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3825697Z 6 CALL_METHOD 1 2022-11-23T01:30:35.3825786Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:35.3825846Z 10 BINARY_ADD 2022-11-23T01:30:35.3825940Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3826029Z 14 LOAD_METHOD 1 (clone) 2022-11-23T01:30:35.3826116Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:35.3826205Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3826276Z 20 BINARY_ADD 2022-11-23T01:30:35.3826363Z 22 CALL_METHOD 1 2022-11-23T01:30:35.3826435Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.3826512Z 26 RETURN_VALUE 2022-11-23T01:30:35.3826572Z 2022-11-23T01:30:35.3826576Z 2022-11-23T01:30:35.3826889Z [2022-11-23 01:23:05,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2448 2022-11-23T01:30:35.3827106Z [2022-11-23 01:23:05,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3827414Z [2022-11-23 01:23:05,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable()] 2022-11-23T01:30:35.3827664Z [2022-11-23 01:23:05,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)] 2022-11-23T01:30:35.3827951Z [2022-11-23 01:23:05,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()] 2022-11-23T01:30:35.3828185Z [2022-11-23 01:23:05,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.3828501Z [2022-11-23 01:23:05,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3828748Z [2022-11-23 01:23:05,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.3829083Z [2022-11-23 01:23:05,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3829391Z [2022-11-23 01:23:05,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)] 2022-11-23T01:30:35.3829701Z [2022-11-23 01:23:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()] 2022-11-23T01:30:35.3830051Z [2022-11-23 01:23:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3830364Z [2022-11-23 01:23:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()] 2022-11-23T01:30:35.3830631Z [2022-11-23 01:23:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3830915Z [2022-11-23 01:23:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3831300Z [2022-11-23 01:23:05,373] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3831540Z [2022-11-23 01:23:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3831759Z [2022-11-23 01:23:05,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3832012Z [2022-11-23 01:23:05,375] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3832258Z [2022-11-23 01:23:05,378] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3832443Z [2022-11-23 01:23:05,378] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3832577Z __compiled_fn_53 .342 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3832668Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3832774Z call_function, clone, aten.clone, (ex_0_,), {} 2022-11-23T01:30:35.3832947Z call_function, add, , (clone, 2), {} 2022-11-23T01:30:35.3833107Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.3833215Z call_function, clone_1, aten.clone, (add_1,), {} 2022-11-23T01:30:35.3833318Z output, output, output, ((add, clone_1),), {} 2022-11-23T01:30:35.3833323Z 2022-11-23T01:30:35.3833647Z [2022-11-23 01:23:05,379] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3833741Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3833829Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3833918Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3834010Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3834081Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3834170Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3834245Z 12 RETURN_VALUE 2022-11-23T01:30:35.3834250Z 2022-11-23T01:30:35.3834311Z 2022-11-23T01:30:35.3834633Z [2022-11-23 01:23:05,379] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3834739Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_53) 2022-11-23T01:30:35.3834828Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3834917Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3834981Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3835067Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3835169Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3835269Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3835357Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3835479Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3835575Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3835649Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3835724Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3835808Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.3835881Z 26 RETURN_VALUE 2022-11-23T01:30:35.3835886Z 2022-11-23T01:30:35.3835944Z 2022-11-23T01:30:35.3836126Z [2022-11-23 01:23:05,380] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3836195Z - 2022-11-23T01:30:35.3836300Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3836366Z { 2022-11-23T01:30:35.3836504Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3836689Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3836837Z 'obj_weakref': None 2022-11-23T01:30:35.3837063Z 'guarded_class': 2022-11-23T01:30:35.3837127Z } 2022-11-23T01:30:35.3837177Z 2022-11-23T01:30:35.3837245Z - 2022-11-23T01:30:35.3837369Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3837433Z { 2022-11-23T01:30:35.3837574Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3837679Z 'code': None, 2022-11-23T01:30:35.3837888Z 'obj_weakref': 2022-11-23T01:30:35.3838126Z 'guarded_class': 2022-11-23T01:30:35.3838190Z } 2022-11-23T01:30:35.3838252Z 2022-11-23T01:30:35.3838321Z - 2022-11-23T01:30:35.3838451Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3838515Z { 2022-11-23T01:30:35.3838648Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3838805Z 'code': ['___check_obj_id(model, 140534431832608)'], 2022-11-23T01:30:35.3838924Z 'obj_weakref': None 2022-11-23T01:30:35.3839153Z 'guarded_class': 2022-11-23T01:30:35.3839216Z } 2022-11-23T01:30:35.3839277Z 2022-11-23T01:30:35.3839344Z - 2022-11-23T01:30:35.3839463Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3839512Z { 2022-11-23T01:30:35.3839647Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3839860Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3839976Z 'obj_weakref': None 2022-11-23T01:30:35.3840324Z 'guarded_class': 2022-11-23T01:30:35.3840392Z } 2022-11-23T01:30:35.3840453Z 2022-11-23T01:30:35.3840509Z - 2022-11-23T01:30:35.3840642Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3840704Z { 2022-11-23T01:30:35.3840824Z 'guard_types': None, 2022-11-23T01:30:35.3840930Z 'code': None, 2022-11-23T01:30:35.3841048Z 'obj_weakref': None 2022-11-23T01:30:35.3841168Z 'guarded_class': None 2022-11-23T01:30:35.3841217Z } 2022-11-23T01:30:35.3841280Z 2022-11-23T01:30:35.3841537Z [2022-11-23 01:23:05,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52 2022-11-23T01:30:35.3841918Z [2022-11-23 01:23:06,913] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/57/c57qskegb52bd52rabuoebua5eekdq6blaa5wv2oikb5r7h7bhci.py 2022-11-23T01:30:35.3842181Z [2022-11-23 01:23:06,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52 2022-11-23T01:30:35.3842190Z 2022-11-23T01:30:35.3842283Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3842351Z import torch 2022-11-23T01:30:35.3842459Z import random 2022-11-23T01:30:35.3842562Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3842681Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3842686Z 2022-11-23T01:30:35.3842762Z aten = torch.ops.aten 2022-11-23T01:30:35.3842894Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3842986Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3842991Z 2022-11-23T01:30:35.3842995Z 2022-11-23T01:30:35.3843127Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3843328Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3843448Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3843534Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3843666Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3843727Z { 2022-11-23T01:30:35.3843826Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3843888Z { 2022-11-23T01:30:35.3843964Z #pragma omp for 2022-11-23T01:30:35.3844046Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.3844095Z { 2022-11-23T01:30:35.3844235Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.3844370Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.3844455Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3844582Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.3844666Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.3844863Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.3844976Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.3845073Z } 2022-11-23T01:30:35.3845177Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.3845261Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.3845323Z { 2022-11-23T01:30:35.3845406Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.3845505Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.3845576Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.3845673Z auto tmp3 = static_cast(1); 2022-11-23T01:30:35.3845754Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.3845834Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.3845911Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:35.3845972Z } 2022-11-23T01:30:35.3846033Z } 2022-11-23T01:30:35.3846080Z } 2022-11-23T01:30:35.3846165Z ''') 2022-11-23T01:30:35.3846171Z 2022-11-23T01:30:35.3846175Z 2022-11-23T01:30:35.3846265Z async_compile.wait(globals()) 2022-11-23T01:30:35.3846338Z del async_compile 2022-11-23T01:30:35.3846343Z 2022-11-23T01:30:35.3846416Z def call(args): 2022-11-23T01:30:35.3846486Z arg0_1, = args 2022-11-23T01:30:35.3846556Z args.clear() 2022-11-23T01:30:35.3846749Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3846946Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3847110Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3847177Z del arg0_1 2022-11-23T01:30:35.3847253Z return (buf0, buf1, ) 2022-11-23T01:30:35.3847259Z 2022-11-23T01:30:35.3847263Z 2022-11-23T01:30:35.3847338Z if __name__ == "__main__": 2022-11-23T01:30:35.3847451Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3847572Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3847756Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3847861Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3847868Z 2022-11-23T01:30:35.3847934Z ok (1.561s) 2022-11-23T01:30:35.3848328Z test_constant_pad_1d_cpu (__main__.CpuTests) ... [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3848649Z [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3848866Z [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3849119Z [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3849395Z [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3849717Z [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3850105Z [2022-11-23 01:23:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3850415Z [2022-11-23 01:23:06,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3850789Z [2022-11-23 01:23:06,919] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3850882Z 3118 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3850989Z 2 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:30:35.3851080Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3851168Z 6 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3851253Z 8 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3851342Z 10 BUILD_LIST 2 2022-11-23T01:30:35.3851419Z 12 LOAD_CONST 3 (6.0) 2022-11-23T01:30:35.3851504Z 14 CALL_METHOD 3 2022-11-23T01:30:35.3851511Z 2022-11-23T01:30:35.3851603Z 3119 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3851709Z 18 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:30:35.3851796Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3851882Z 22 LOAD_CONST 4 (2) 2022-11-23T01:30:35.3851967Z 24 LOAD_CONST 5 (3) 2022-11-23T01:30:35.3852040Z 26 BUILD_LIST 2 2022-11-23T01:30:35.3852129Z 28 LOAD_CONST 6 (99.0) 2022-11-23T01:30:35.3852215Z 30 CALL_METHOD 3 2022-11-23T01:30:35.3852220Z 2022-11-23T01:30:35.3852305Z 3117 32 BUILD_TUPLE 2 2022-11-23T01:30:35.3852380Z 34 RETURN_VALUE 2022-11-23T01:30:35.3852443Z 2022-11-23T01:30:35.3852448Z 2022-11-23T01:30:35.3852765Z [2022-11-23 01:23:06,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3118 2022-11-23T01:30:35.3852979Z [2022-11-23 01:23:06,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3853299Z [2022-11-23 01:23:06,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable()] 2022-11-23T01:30:35.3853550Z [2022-11-23 01:23:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:30:35.3853846Z [2022-11-23 01:23:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:30:35.3854177Z [2022-11-23 01:23:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3854581Z [2022-11-23 01:23:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3854903Z [2022-11-23 01:23:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3855265Z [2022-11-23 01:23:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.3855576Z [2022-11-23 01:23:06,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3119 2022-11-23T01:30:35.3855817Z [2022-11-23 01:23:06,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.3856161Z [2022-11-23 01:23:06,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3856487Z [2022-11-23 01:23:06,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:30:35.3856810Z [2022-11-23 01:23:06,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:30:35.3857159Z [2022-11-23 01:23:06,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3857561Z [2022-11-23 01:23:06,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3857910Z [2022-11-23 01:23:06,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3858306Z [2022-11-23 01:23:06,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.3858620Z [2022-11-23 01:23:06,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3117 2022-11-23T01:30:35.3858887Z [2022-11-23 01:23:06,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3859130Z [2022-11-23 01:23:06,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3859507Z [2022-11-23 01:23:06,935] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3859754Z [2022-11-23 01:23:06,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3859988Z [2022-11-23 01:23:06,935] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3860239Z [2022-11-23 01:23:06,936] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3860485Z [2022-11-23 01:23:06,939] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3860660Z [2022-11-23 01:23:06,939] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3860793Z __compiled_fn_54 .348 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3860882Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3861021Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {} 2022-11-23T01:30:35.3861160Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {} 2022-11-23T01:30:35.3861298Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {} 2022-11-23T01:30:35.3861303Z 2022-11-23T01:30:35.3861661Z [2022-11-23 01:23:06,940] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3861758Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3861835Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3861924Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3862014Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3862100Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3862188Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3862263Z 12 RETURN_VALUE 2022-11-23T01:30:35.3862268Z 2022-11-23T01:30:35.3862328Z 2022-11-23T01:30:35.3862639Z [2022-11-23 01:23:06,940] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3862777Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_54) 2022-11-23T01:30:35.3862868Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3862959Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3863034Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3863121Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3863225Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3863325Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3863401Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3863478Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3863576Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3863662Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3863738Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3863828Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.3863902Z 26 RETURN_VALUE 2022-11-23T01:30:35.3863908Z 2022-11-23T01:30:35.3863956Z 2022-11-23T01:30:35.3864141Z [2022-11-23 01:23:06,940] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3864213Z - 2022-11-23T01:30:35.3864331Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3864396Z { 2022-11-23T01:30:35.3864534Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3864719Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3864825Z 'obj_weakref': None 2022-11-23T01:30:35.3865052Z 'guarded_class': 2022-11-23T01:30:35.3865115Z } 2022-11-23T01:30:35.3865178Z 2022-11-23T01:30:35.3865247Z - 2022-11-23T01:30:35.3865369Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3865434Z { 2022-11-23T01:30:35.3865564Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3865671Z 'code': None, 2022-11-23T01:30:35.3865885Z 'obj_weakref': 2022-11-23T01:30:35.3866138Z 'guarded_class': 2022-11-23T01:30:35.3866201Z } 2022-11-23T01:30:35.3866264Z 2022-11-23T01:30:35.3866333Z - 2022-11-23T01:30:35.3866450Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3866516Z { 2022-11-23T01:30:35.3866650Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3866817Z 'code': ['___check_obj_id(model, 140534431832176)'], 2022-11-23T01:30:35.3866934Z 'obj_weakref': None 2022-11-23T01:30:35.3867167Z 'guarded_class': 2022-11-23T01:30:35.3867233Z } 2022-11-23T01:30:35.3867283Z 2022-11-23T01:30:35.3867353Z - 2022-11-23T01:30:35.3867473Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3867575Z { 2022-11-23T01:30:35.3867712Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3867927Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3868045Z 'obj_weakref': None 2022-11-23T01:30:35.3868255Z 'guarded_class': 2022-11-23T01:30:35.3868318Z } 2022-11-23T01:30:35.3868380Z 2022-11-23T01:30:35.3868450Z - 2022-11-23T01:30:35.3868580Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3868643Z { 2022-11-23T01:30:35.3868762Z 'guard_types': None, 2022-11-23T01:30:35.3868854Z 'code': None, 2022-11-23T01:30:35.3868971Z 'obj_weakref': None 2022-11-23T01:30:35.3869127Z 'guarded_class': None 2022-11-23T01:30:35.3869189Z } 2022-11-23T01:30:35.3869252Z 2022-11-23T01:30:35.3869513Z [2022-11-23 01:23:06,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53 2022-11-23T01:30:35.3869888Z [2022-11-23 01:23:08,389] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiq7fhlt4uschbw4gaqcq7j2zvyuggcqtfuhobpy4cqrp2pv3xf.py 2022-11-23T01:30:35.3870138Z [2022-11-23 01:23:08,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53 2022-11-23T01:30:35.3870157Z 2022-11-23T01:30:35.3870237Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3870307Z import torch 2022-11-23T01:30:35.3870376Z import random 2022-11-23T01:30:35.3870492Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3870614Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3870619Z 2022-11-23T01:30:35.3870699Z aten = torch.ops.aten 2022-11-23T01:30:35.3870830Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3870909Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3870916Z 2022-11-23T01:30:35.3870934Z 2022-11-23T01:30:35.3871054Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3871260Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3871376Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3871474Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3871569Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3871628Z { 2022-11-23T01:30:35.3871727Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3871777Z { 2022-11-23T01:30:35.3871853Z #pragma omp for 2022-11-23T01:30:35.3871934Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.3871998Z { 2022-11-23T01:30:35.3872077Z #pragma GCC ivdep 2022-11-23T01:30:35.3872164Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:35.3872227Z { 2022-11-23T01:30:35.3872279Z { 2022-11-23T01:30:35.3872347Z { 2022-11-23T01:30:35.3872453Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:35.3872557Z auto tmp1 = static_cast(31); 2022-11-23T01:30:35.3872649Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.3872732Z float tmp3 = 6.0; 2022-11-23T01:30:35.3872805Z if(tmp2) 2022-11-23T01:30:35.3872860Z { 2022-11-23T01:30:35.3872962Z auto tmp4 = in_ptr0[i1 + (31*i0)]; 2022-11-23T01:30:35.3873044Z tmp3 = tmp4; 2022-11-23T01:30:35.3873112Z } 2022-11-23T01:30:35.3873206Z out_ptr0[i1 + (32*i0)] = tmp3; 2022-11-23T01:30:35.3873271Z } 2022-11-23T01:30:35.3873326Z } 2022-11-23T01:30:35.3873390Z } 2022-11-23T01:30:35.3873453Z } 2022-11-23T01:30:35.3873530Z #pragma omp for 2022-11-23T01:30:35.3873646Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.3873710Z { 2022-11-23T01:30:35.3873788Z #pragma GCC ivdep 2022-11-23T01:30:35.3873859Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:30:35.3873921Z { 2022-11-23T01:30:35.3873985Z { 2022-11-23T01:30:35.3874052Z { 2022-11-23T01:30:35.3874218Z auto tmp0 = static_cast((-2) + i1); 2022-11-23T01:30:35.3874319Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3874412Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.3874504Z auto tmp3 = static_cast(31); 2022-11-23T01:30:35.3874597Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.3874686Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:35.3874803Z float tmp6 = 99.0; 2022-11-23T01:30:35.3874877Z if(tmp5) 2022-11-23T01:30:35.3874947Z { 2022-11-23T01:30:35.3875115Z auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)]; 2022-11-23T01:30:35.3875184Z tmp6 = tmp7; 2022-11-23T01:30:35.3875252Z } 2022-11-23T01:30:35.3875346Z out_ptr1[i1 + (36*i0)] = tmp6; 2022-11-23T01:30:35.3875413Z } 2022-11-23T01:30:35.3875477Z } 2022-11-23T01:30:35.3875538Z } 2022-11-23T01:30:35.3875599Z } 2022-11-23T01:30:35.3875648Z } 2022-11-23T01:30:35.3875709Z } 2022-11-23T01:30:35.3875786Z ''') 2022-11-23T01:30:35.3875791Z 2022-11-23T01:30:35.3875795Z 2022-11-23T01:30:35.3875888Z async_compile.wait(globals()) 2022-11-23T01:30:35.3875959Z del async_compile 2022-11-23T01:30:35.3875964Z 2022-11-23T01:30:35.3876035Z def call(args): 2022-11-23T01:30:35.3876104Z arg0_1, = args 2022-11-23T01:30:35.3876162Z args.clear() 2022-11-23T01:30:35.3876371Z buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3876570Z buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3876735Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3876804Z del arg0_1 2022-11-23T01:30:35.3876879Z return (buf0, buf1, ) 2022-11-23T01:30:35.3876884Z 2022-11-23T01:30:35.3876889Z 2022-11-23T01:30:35.3876963Z if __name__ == "__main__": 2022-11-23T01:30:35.3877076Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3877185Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3877390Z arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3877496Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3877503Z 2022-11-23T01:30:35.3877571Z ok (1.477s) 2022-11-23T01:30:35.3877890Z test_constant_pad_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3878207Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3878424Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3878678Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3878955Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3879262Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3879658Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3880066Z [2022-11-23 01:23:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3880449Z [2022-11-23 01:23:08,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3880544Z 3127 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3880651Z 2 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:30:35.3880741Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3880828Z 6 BUILD_LIST 0 2022-11-23T01:30:35.3880923Z 8 LOAD_CONST 1 ((1, 1, 1, 1)) 2022-11-23T01:30:35.3881036Z 10 LIST_EXTEND 1 2022-11-23T01:30:35.3881127Z 12 LOAD_CONST 2 (6.0) 2022-11-23T01:30:35.3881216Z 14 CALL_METHOD 3 2022-11-23T01:30:35.3881220Z 2022-11-23T01:30:35.3881312Z 3128 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3881416Z 18 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:30:35.3881505Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3881591Z 22 BUILD_LIST 0 2022-11-23T01:30:35.3881686Z 24 LOAD_CONST 3 ((1, 2, 3, 4)) 2022-11-23T01:30:35.3881759Z 26 LIST_EXTEND 1 2022-11-23T01:30:35.3881847Z 28 LOAD_CONST 4 (99.0) 2022-11-23T01:30:35.3881932Z 30 CALL_METHOD 3 2022-11-23T01:30:35.3881936Z 2022-11-23T01:30:35.3882021Z 3126 32 BUILD_TUPLE 2 2022-11-23T01:30:35.3882099Z 34 RETURN_VALUE 2022-11-23T01:30:35.3882160Z 2022-11-23T01:30:35.3882165Z 2022-11-23T01:30:35.3882482Z [2022-11-23 01:23:08,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3127 2022-11-23T01:30:35.3882697Z [2022-11-23 01:23:08,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3883008Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable()] 2022-11-23T01:30:35.3883274Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:30:35.3883573Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:30:35.3883904Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3884279Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.3884601Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3885185Z [2022-11-23 01:23:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.3885500Z [2022-11-23 01:23:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3128 2022-11-23T01:30:35.3885746Z [2022-11-23 01:23:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.3886164Z [2022-11-23 01:23:08,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3886461Z [2022-11-23 01:23:08,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:30:35.3886771Z [2022-11-23 01:23:08,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:30:35.3887128Z [2022-11-23 01:23:08,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3887521Z [2022-11-23 01:23:08,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.3887914Z [2022-11-23 01:23:08,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3888312Z [2022-11-23 01:23:08,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.3888625Z [2022-11-23 01:23:08,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3126 2022-11-23T01:30:35.3888892Z [2022-11-23 01:23:08,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3889137Z [2022-11-23 01:23:08,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3889515Z [2022-11-23 01:23:08,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3889764Z [2022-11-23 01:23:08,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3889995Z [2022-11-23 01:23:08,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3890249Z [2022-11-23 01:23:08,413] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3890483Z [2022-11-23 01:23:08,416] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3890668Z [2022-11-23 01:23:08,416] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3890800Z __compiled_fn_55 .354 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3890889Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3891031Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {} 2022-11-23T01:30:35.3891175Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {} 2022-11-23T01:30:35.3891308Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {} 2022-11-23T01:30:35.3891313Z 2022-11-23T01:30:35.3891634Z [2022-11-23 01:23:08,416] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3891716Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3891806Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3891892Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3891982Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3892066Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3892152Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3892226Z 12 RETURN_VALUE 2022-11-23T01:30:35.3892230Z 2022-11-23T01:30:35.3892290Z 2022-11-23T01:30:35.3892604Z [2022-11-23 01:23:08,417] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3892741Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_55) 2022-11-23T01:30:35.3892831Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3892920Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3892995Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3893080Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3893182Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3893270Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3893356Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3893431Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3893527Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3893614Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3893763Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3893850Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.3893911Z 26 RETURN_VALUE 2022-11-23T01:30:35.3893931Z 2022-11-23T01:30:35.3893980Z 2022-11-23T01:30:35.3894162Z [2022-11-23 01:23:08,417] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3894232Z - 2022-11-23T01:30:35.3894350Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3894413Z { 2022-11-23T01:30:35.3894553Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3894723Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3894840Z 'obj_weakref': None 2022-11-23T01:30:35.3895064Z 'guarded_class': 2022-11-23T01:30:35.3895129Z } 2022-11-23T01:30:35.3895191Z 2022-11-23T01:30:35.3895260Z - 2022-11-23T01:30:35.3895384Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3895437Z { 2022-11-23T01:30:35.3895578Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3895688Z 'code': None, 2022-11-23T01:30:35.3895900Z 'obj_weakref': 2022-11-23T01:30:35.3896150Z 'guarded_class': 2022-11-23T01:30:35.3896212Z } 2022-11-23T01:30:35.3896274Z 2022-11-23T01:30:35.3896330Z - 2022-11-23T01:30:35.3896460Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3896522Z { 2022-11-23T01:30:35.3896654Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3896821Z 'code': ['___check_obj_id(model, 140534431381776)'], 2022-11-23T01:30:35.3896938Z 'obj_weakref': None 2022-11-23T01:30:35.3897165Z 'guarded_class': 2022-11-23T01:30:35.3897218Z } 2022-11-23T01:30:35.3897280Z 2022-11-23T01:30:35.3897349Z - 2022-11-23T01:30:35.3897470Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3897532Z { 2022-11-23T01:30:35.3897666Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3897883Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3897987Z 'obj_weakref': None 2022-11-23T01:30:35.3898206Z 'guarded_class': 2022-11-23T01:30:35.3898269Z } 2022-11-23T01:30:35.3898332Z 2022-11-23T01:30:35.3898399Z - 2022-11-23T01:30:35.3898528Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3898592Z { 2022-11-23T01:30:35.3898696Z 'guard_types': None, 2022-11-23T01:30:35.3898802Z 'code': None, 2022-11-23T01:30:35.3898921Z 'obj_weakref': None 2022-11-23T01:30:35.3899040Z 'guarded_class': None 2022-11-23T01:30:35.3899103Z } 2022-11-23T01:30:35.3899195Z 2022-11-23T01:30:35.3899456Z [2022-11-23 01:23:08,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54 2022-11-23T01:30:35.3899814Z [2022-11-23 01:23:09,937] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jf/cjfwqtvxun4b4eobosku4yxipukk2hlw6hup35pr2pnqq3w3kppb.py 2022-11-23T01:30:35.3900073Z [2022-11-23 01:23:09,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54 2022-11-23T01:30:35.3900079Z 2022-11-23T01:30:35.3900171Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3900240Z import torch 2022-11-23T01:30:35.3900309Z import random 2022-11-23T01:30:35.3900423Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3900544Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3900577Z 2022-11-23T01:30:35.3900655Z aten = torch.ops.aten 2022-11-23T01:30:35.3900776Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3900870Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3900875Z 2022-11-23T01:30:35.3900879Z 2022-11-23T01:30:35.3901011Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3901217Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3901333Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3901431Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3901525Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3901587Z { 2022-11-23T01:30:35.3901672Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3901736Z { 2022-11-23T01:30:35.3901814Z #pragma omp for 2022-11-23T01:30:35.3901898Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:35.3901963Z { 2022-11-23T01:30:35.3902043Z #pragma GCC ivdep 2022-11-23T01:30:35.3902128Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:35.3902178Z { 2022-11-23T01:30:35.3902243Z { 2022-11-23T01:30:35.3902311Z { 2022-11-23T01:30:35.3902477Z auto tmp0 = static_cast((-1) + i0); 2022-11-23T01:30:35.3902580Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3902673Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.3902773Z auto tmp3 = static_cast(8); 2022-11-23T01:30:35.3902852Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.3903015Z auto tmp5 = static_cast((-1) + i1); 2022-11-23T01:30:35.3903111Z auto tmp6 = tmp5 >= tmp1; 2022-11-23T01:30:35.3903203Z auto tmp7 = tmp5 < tmp3; 2022-11-23T01:30:35.3903294Z auto tmp8 = tmp2 & tmp4; 2022-11-23T01:30:35.3903386Z auto tmp9 = tmp8 & tmp6; 2022-11-23T01:30:35.3903479Z auto tmp10 = tmp9 & tmp7; 2022-11-23T01:30:35.3903555Z float tmp11 = 6.0; 2022-11-23T01:30:35.3903633Z if(tmp10) 2022-11-23T01:30:35.3903703Z { 2022-11-23T01:30:35.3903872Z auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)]; 2022-11-23T01:30:35.3903954Z tmp11 = tmp12; 2022-11-23T01:30:35.3904023Z } 2022-11-23T01:30:35.3904116Z out_ptr0[i1 + (10*i0)] = tmp11; 2022-11-23T01:30:35.3904172Z } 2022-11-23T01:30:35.3904238Z } 2022-11-23T01:30:35.3904300Z } 2022-11-23T01:30:35.3904363Z } 2022-11-23T01:30:35.3904439Z #pragma omp for 2022-11-23T01:30:35.3904519Z for(long i0=0; i0<15; i0+=1) 2022-11-23T01:30:35.3904583Z { 2022-11-23T01:30:35.3904653Z #pragma GCC ivdep 2022-11-23T01:30:35.3904737Z for(long i1=0; i1<11; i1+=1) 2022-11-23T01:30:35.3904801Z { 2022-11-23T01:30:35.3904866Z { 2022-11-23T01:30:35.3904961Z { 2022-11-23T01:30:35.3905127Z auto tmp0 = static_cast((-3) + i0); 2022-11-23T01:30:35.3905227Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3905308Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.3905407Z auto tmp3 = static_cast(8); 2022-11-23T01:30:35.3905500Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.3905663Z auto tmp5 = static_cast((-1) + i1); 2022-11-23T01:30:35.3905756Z auto tmp6 = tmp5 >= tmp1; 2022-11-23T01:30:35.3905848Z auto tmp7 = tmp5 < tmp3; 2022-11-23T01:30:35.3905937Z auto tmp8 = tmp2 & tmp4; 2022-11-23T01:30:35.3906043Z auto tmp9 = tmp8 & tmp6; 2022-11-23T01:30:35.3906137Z auto tmp10 = tmp9 & tmp7; 2022-11-23T01:30:35.3906225Z float tmp11 = 99.0; 2022-11-23T01:30:35.3906302Z if(tmp10) 2022-11-23T01:30:35.3906370Z { 2022-11-23T01:30:35.3906540Z auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)]; 2022-11-23T01:30:35.3906623Z tmp11 = tmp12; 2022-11-23T01:30:35.3906678Z } 2022-11-23T01:30:35.3906774Z out_ptr1[i1 + (11*i0)] = tmp11; 2022-11-23T01:30:35.3906840Z } 2022-11-23T01:30:35.3906907Z } 2022-11-23T01:30:35.3906971Z } 2022-11-23T01:30:35.3907033Z } 2022-11-23T01:30:35.3907096Z } 2022-11-23T01:30:35.3907143Z } 2022-11-23T01:30:35.3907220Z ''') 2022-11-23T01:30:35.3907225Z 2022-11-23T01:30:35.3907230Z 2022-11-23T01:30:35.3907321Z async_compile.wait(globals()) 2022-11-23T01:30:35.3907395Z del async_compile 2022-11-23T01:30:35.3907400Z 2022-11-23T01:30:35.3907467Z def call(args): 2022-11-23T01:30:35.3907535Z arg0_1, = args 2022-11-23T01:30:35.3907608Z args.clear() 2022-11-23T01:30:35.3907813Z buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3908028Z buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3908188Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3908255Z del arg0_1 2022-11-23T01:30:35.3908330Z return (buf0, buf1, ) 2022-11-23T01:30:35.3908335Z 2022-11-23T01:30:35.3908340Z 2022-11-23T01:30:35.3908415Z if __name__ == "__main__": 2022-11-23T01:30:35.3908527Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3908647Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3908848Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3908954Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3908959Z 2022-11-23T01:30:35.3909026Z ok (1.547s) 2022-11-23T01:30:35.3909342Z test_constant_pad_3d_cpu (__main__.CpuTests) ... [2022-11-23 01:23:09,942] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3909660Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3909875Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3910127Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3910403Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3910726Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3911098Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3911408Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3911781Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3911876Z 3138 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3911981Z 2 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:30:35.3912070Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3912189Z 6 BUILD_LIST 0 2022-11-23T01:30:35.3912287Z 8 LOAD_CONST 1 ((1, 2, 3, 4, 5, 6)) 2022-11-23T01:30:35.3912375Z 10 LIST_EXTEND 1 2022-11-23T01:30:35.3912451Z 12 LOAD_CONST 2 (6.0) 2022-11-23T01:30:35.3912538Z 14 CALL_METHOD 3 2022-11-23T01:30:35.3912543Z 2022-11-23T01:30:35.3912633Z 3139 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.3912735Z 18 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:30:35.3912821Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:35.3912904Z 22 BUILD_LIST 0 2022-11-23T01:30:35.3912999Z 24 LOAD_CONST 3 ((0, 0, 3, 4, 0, 0)) 2022-11-23T01:30:35.3913082Z 26 LIST_EXTEND 1 2022-11-23T01:30:35.3913159Z 28 LOAD_CONST 2 (6.0) 2022-11-23T01:30:35.3913245Z 30 CALL_METHOD 3 2022-11-23T01:30:35.3913249Z 2022-11-23T01:30:35.3913334Z 3137 32 BUILD_TUPLE 2 2022-11-23T01:30:35.3913407Z 34 RETURN_VALUE 2022-11-23T01:30:35.3913470Z 2022-11-23T01:30:35.3913474Z 2022-11-23T01:30:35.3913791Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3138 2022-11-23T01:30:35.3914006Z [2022-11-23 01:23:09,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.3914328Z [2022-11-23 01:23:09,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable()] 2022-11-23T01:30:35.3914580Z [2022-11-23 01:23:09,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:30:35.3914876Z [2022-11-23 01:23:09,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:30:35.3915214Z [2022-11-23 01:23:09,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4, 5, 6) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3915578Z [2022-11-23 01:23:09,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.3915899Z [2022-11-23 01:23:09,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3916261Z [2022-11-23 01:23:09,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.3916571Z [2022-11-23 01:23:09,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3139 2022-11-23T01:30:35.3916818Z [2022-11-23 01:23:09,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.3917198Z [2022-11-23 01:23:09,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.3917492Z [2022-11-23 01:23:09,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:30:35.3917812Z [2022-11-23 01:23:09,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:30:35.3918171Z [2022-11-23 01:23:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 3, 4, 0, 0) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3918554Z [2022-11-23 01:23:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.3918930Z [2022-11-23 01:23:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3919326Z [2022-11-23 01:23:09,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.3919637Z [2022-11-23 01:23:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3137 2022-11-23T01:30:35.3919903Z [2022-11-23 01:23:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3920250Z [2022-11-23 01:23:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3920635Z [2022-11-23 01:23:09,959] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3920880Z [2022-11-23 01:23:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3921114Z [2022-11-23 01:23:09,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3921369Z [2022-11-23 01:23:09,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3921615Z [2022-11-23 01:23:09,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3921790Z [2022-11-23 01:23:09,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3921923Z __compiled_fn_56 .360 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3922016Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3922159Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {} 2022-11-23T01:30:35.3922305Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {} 2022-11-23T01:30:35.3922438Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {} 2022-11-23T01:30:35.3922446Z 2022-11-23T01:30:35.3922770Z [2022-11-23 01:23:09,964] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3922863Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3922941Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3923029Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3923120Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3923204Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3923295Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3923371Z 12 RETURN_VALUE 2022-11-23T01:30:35.3923376Z 2022-11-23T01:30:35.3923435Z 2022-11-23T01:30:35.3923814Z [2022-11-23 01:23:09,964] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3923910Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_56) 2022-11-23T01:30:35.3923998Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3924087Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3924162Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3924248Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3924349Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3924450Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3924525Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3924601Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3924730Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3924977Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3925098Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.3925188Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.3925261Z 26 RETURN_VALUE 2022-11-23T01:30:35.3925266Z 2022-11-23T01:30:35.3925314Z 2022-11-23T01:30:35.3925501Z [2022-11-23 01:23:09,965] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3925571Z - 2022-11-23T01:30:35.3925690Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3925754Z { 2022-11-23T01:30:35.3925895Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3926080Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3926184Z 'obj_weakref': None 2022-11-23T01:30:35.3926410Z 'guarded_class': 2022-11-23T01:30:35.3926477Z } 2022-11-23T01:30:35.3926541Z 2022-11-23T01:30:35.3926610Z - 2022-11-23T01:30:35.3926733Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3926799Z { 2022-11-23T01:30:35.3926928Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3927034Z 'code': None, 2022-11-23T01:30:35.3927248Z 'obj_weakref': 2022-11-23T01:30:35.3927500Z 'guarded_class': 2022-11-23T01:30:35.3927564Z } 2022-11-23T01:30:35.3927626Z 2022-11-23T01:30:35.3927694Z - 2022-11-23T01:30:35.3927812Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3927874Z { 2022-11-23T01:30:35.3928007Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3928173Z 'code': ['___check_obj_id(model, 140534429133568)'], 2022-11-23T01:30:35.3928292Z 'obj_weakref': None 2022-11-23T01:30:35.3928522Z 'guarded_class': 2022-11-23T01:30:35.3928586Z } 2022-11-23T01:30:35.3928635Z 2022-11-23T01:30:35.3928705Z - 2022-11-23T01:30:35.3928824Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3928887Z { 2022-11-23T01:30:35.3929022Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3929235Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3929351Z 'obj_weakref': None 2022-11-23T01:30:35.3929560Z 'guarded_class': 2022-11-23T01:30:35.3929623Z } 2022-11-23T01:30:35.3929685Z 2022-11-23T01:30:35.3929757Z - 2022-11-23T01:30:35.3929886Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.3929950Z { 2022-11-23T01:30:35.3930068Z 'guard_types': None, 2022-11-23T01:30:35.3930161Z 'code': None, 2022-11-23T01:30:35.3930345Z 'obj_weakref': None 2022-11-23T01:30:35.3930469Z 'guarded_class': None 2022-11-23T01:30:35.3930532Z } 2022-11-23T01:30:35.3930594Z 2022-11-23T01:30:35.3930855Z [2022-11-23 01:23:09,970] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55 2022-11-23T01:30:35.3931230Z [2022-11-23 01:23:11,452] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xv/cxvauyvitiqsnjgbrxe4nysdjgqytbdotnjq4t5hh544q33vjsm2.py 2022-11-23T01:30:35.3931491Z [2022-11-23 01:23:11,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55 2022-11-23T01:30:35.3931497Z 2022-11-23T01:30:35.3931579Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3931647Z import torch 2022-11-23T01:30:35.3931761Z import random 2022-11-23T01:30:35.3931875Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3931994Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3932001Z 2022-11-23T01:30:35.3932077Z aten = torch.ops.aten 2022-11-23T01:30:35.3932209Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3932287Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3932304Z 2022-11-23T01:30:35.3932308Z 2022-11-23T01:30:35.3932428Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3932630Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3932749Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3932848Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3932943Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3933003Z { 2022-11-23T01:30:35.3933100Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3933153Z { 2022-11-23T01:30:35.3933241Z #pragma omp for collapse(2) 2022-11-23T01:30:35.3933322Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.3933385Z { 2022-11-23T01:30:35.3933473Z for(long i1=0; i1<15; i1+=1) 2022-11-23T01:30:35.3933535Z { 2022-11-23T01:30:35.3933616Z #pragma GCC ivdep 2022-11-23T01:30:35.3933692Z for(long i2=0; i2<11; i2+=1) 2022-11-23T01:30:35.3933757Z { 2022-11-23T01:30:35.3933843Z #pragma GCC ivdep 2022-11-23T01:30:35.3933931Z for(long i3=0; i3<7; i3+=1) 2022-11-23T01:30:35.3933997Z { 2022-11-23T01:30:35.3934065Z { 2022-11-23T01:30:35.3934135Z { 2022-11-23T01:30:35.3934296Z auto tmp0 = static_cast((-5) + i1); 2022-11-23T01:30:35.3934403Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3934503Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.3934606Z auto tmp3 = static_cast(4); 2022-11-23T01:30:35.3934708Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.3934881Z auto tmp5 = static_cast((-3) + i2); 2022-11-23T01:30:35.3934976Z auto tmp6 = tmp5 >= tmp1; 2022-11-23T01:30:35.3935060Z auto tmp7 = tmp5 < tmp3; 2022-11-23T01:30:35.3935235Z auto tmp8 = static_cast((-1) + i3); 2022-11-23T01:30:35.3935329Z auto tmp9 = tmp8 >= tmp1; 2022-11-23T01:30:35.3935422Z auto tmp10 = tmp8 < tmp3; 2022-11-23T01:30:35.3935517Z auto tmp11 = tmp2 & tmp4; 2022-11-23T01:30:35.3935613Z auto tmp12 = tmp11 & tmp6; 2022-11-23T01:30:35.3935713Z auto tmp13 = tmp12 & tmp7; 2022-11-23T01:30:35.3935810Z auto tmp14 = tmp13 & tmp9; 2022-11-23T01:30:35.3935931Z auto tmp15 = tmp14 & tmp10; 2022-11-23T01:30:35.3936025Z float tmp16 = 6.0; 2022-11-23T01:30:35.3936104Z if(tmp15) 2022-11-23T01:30:35.3936178Z { 2022-11-23T01:30:35.3936378Z auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)]; 2022-11-23T01:30:35.3936465Z tmp16 = tmp17; 2022-11-23T01:30:35.3936536Z } 2022-11-23T01:30:35.3936637Z out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16; 2022-11-23T01:30:35.3936710Z } 2022-11-23T01:30:35.3936778Z } 2022-11-23T01:30:35.3936843Z } 2022-11-23T01:30:35.3936907Z } 2022-11-23T01:30:35.3937000Z } 2022-11-23T01:30:35.3937062Z } 2022-11-23T01:30:35.3937127Z #pragma omp for 2022-11-23T01:30:35.3937208Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.3937273Z { 2022-11-23T01:30:35.3937355Z #pragma GCC ivdep 2022-11-23T01:30:35.3937441Z for(long i1=0; i1<11; i1+=1) 2022-11-23T01:30:35.3937505Z { 2022-11-23T01:30:35.3937586Z #pragma GCC ivdep 2022-11-23T01:30:35.3937662Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:30:35.3937726Z { 2022-11-23T01:30:35.3937791Z { 2022-11-23T01:30:35.3937861Z { 2022-11-23T01:30:35.3938031Z auto tmp0 = static_cast((-3) + i1); 2022-11-23T01:30:35.3938137Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.3938233Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:35.3938325Z auto tmp3 = static_cast(4); 2022-11-23T01:30:35.3938422Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:35.3938515Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:35.3938603Z float tmp6 = 6.0; 2022-11-23T01:30:35.3938679Z if(tmp5) 2022-11-23T01:30:35.3938749Z { 2022-11-23T01:30:35.3938932Z auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)]; 2022-11-23T01:30:35.3939005Z tmp6 = tmp7; 2022-11-23T01:30:35.3939075Z } 2022-11-23T01:30:35.3939179Z out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6; 2022-11-23T01:30:35.3939248Z } 2022-11-23T01:30:35.3939315Z } 2022-11-23T01:30:35.3939380Z } 2022-11-23T01:30:35.3939443Z } 2022-11-23T01:30:35.3939493Z } 2022-11-23T01:30:35.3939556Z } 2022-11-23T01:30:35.3939622Z } 2022-11-23T01:30:35.3939700Z ''') 2022-11-23T01:30:35.3939705Z 2022-11-23T01:30:35.3939709Z 2022-11-23T01:30:35.3939800Z async_compile.wait(globals()) 2022-11-23T01:30:35.3939874Z del async_compile 2022-11-23T01:30:35.3939879Z 2022-11-23T01:30:35.3939948Z def call(args): 2022-11-23T01:30:35.3940005Z arg0_1, = args 2022-11-23T01:30:35.3940077Z args.clear() 2022-11-23T01:30:35.3940295Z buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3940505Z buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3940669Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3940739Z del arg0_1 2022-11-23T01:30:35.3940814Z return (buf0, buf1, ) 2022-11-23T01:30:35.3940820Z 2022-11-23T01:30:35.3940824Z 2022-11-23T01:30:35.3940900Z if __name__ == "__main__": 2022-11-23T01:30:35.3941002Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3941127Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3941369Z arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3941479Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.3941484Z 2022-11-23T01:30:35.3941550Z ok (1.515s) 2022-11-23T01:30:35.3941889Z test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:23:11,471] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3942207Z [2022-11-23 01:23:11,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3942422Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3942675Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.3942974Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.3943298Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3943643Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3943968Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3944342Z [2022-11-23 01:23:11,472] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3944441Z 1866 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.3944535Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.3944624Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.3944737Z 6 LOAD_ATTR 3 (convolution_backward) 2022-11-23T01:30:35.3944820Z 8 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.3944825Z 2022-11-23T01:30:35.3944922Z 1867 10 LOAD_FAST 0 (grad_output) 2022-11-23T01:30:35.3944927Z 2022-11-23T01:30:35.3945015Z 1868 12 LOAD_FAST 1 (inp) 2022-11-23T01:30:35.3945019Z 2022-11-23T01:30:35.3945115Z 1869 14 LOAD_FAST 2 (weight) 2022-11-23T01:30:35.3945120Z 2022-11-23T01:30:35.3945212Z 1870 16 LOAD_CONST 1 (320) 2022-11-23T01:30:35.3945300Z 18 BUILD_LIST 1 2022-11-23T01:30:35.3945305Z 2022-11-23T01:30:35.3945394Z 1871 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3945482Z 22 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3945571Z 24 BUILD_LIST 2 2022-11-23T01:30:35.3945576Z 2022-11-23T01:30:35.3945648Z 1872 26 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3945735Z 28 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3945821Z 30 BUILD_LIST 2 2022-11-23T01:30:35.3945825Z 2022-11-23T01:30:35.3945909Z 1873 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3945996Z 34 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3946081Z 36 BUILD_LIST 2 2022-11-23T01:30:35.3946086Z 2022-11-23T01:30:35.3946175Z 1874 38 LOAD_CONST 4 (False) 2022-11-23T01:30:35.3946180Z 2022-11-23T01:30:35.3946263Z 1875 40 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3946337Z 42 LOAD_CONST 3 (0) 2022-11-23T01:30:35.3946421Z 44 BUILD_LIST 2 2022-11-23T01:30:35.3946425Z 2022-11-23T01:30:35.3946510Z 1876 46 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3946514Z 2022-11-23T01:30:35.3946597Z 1877 48 BUILD_LIST 0 2022-11-23T01:30:35.3946733Z 50 LOAD_CONST 5 ((True, True, True)) 2022-11-23T01:30:35.3946821Z 52 LIST_EXTEND 1 2022-11-23T01:30:35.3946825Z 2022-11-23T01:30:35.3946909Z 1866 54 CALL_METHOD 11 2022-11-23T01:30:35.3947026Z 56 STORE_FAST 3 (convolution_backward_8) 2022-11-23T01:30:35.3947031Z 2022-11-23T01:30:35.3947141Z 1879 58 LOAD_FAST 3 (convolution_backward_8) 2022-11-23T01:30:35.3947203Z 60 RETURN_VALUE 2022-11-23T01:30:35.3947264Z 2022-11-23T01:30:35.3947269Z 2022-11-23T01:30:35.3947585Z [2022-11-23 01:23:11,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866 2022-11-23T01:30:35.3947801Z [2022-11-23 01:23:11,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.3948200Z [2022-11-23 01:23:11,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.3948493Z [2022-11-23 01:23:11,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.3948824Z [2022-11-23 01:23:11,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:30:35.3949108Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)] 2022-11-23T01:30:35.3949419Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1867 2022-11-23T01:30:35.3949725Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)] 2022-11-23T01:30:35.3950024Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1868 2022-11-23T01:30:35.3950348Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()] 2022-11-23T01:30:35.3950656Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1869 2022-11-23T01:30:35.3951013Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3951324Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1870 2022-11-23T01:30:35.3951706Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.3952119Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3952426Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1871 2022-11-23T01:30:35.3952824Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.3953264Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3953774Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3954083Z [2022-11-23 01:23:11,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1872 2022-11-23T01:30:35.3954503Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3954950Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3955490Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3955804Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1873 2022-11-23T01:30:35.3956253Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3956739Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3957266Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3957573Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1874 2022-11-23T01:30:35.3958052Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.3958363Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1875 2022-11-23T01:30:35.3958875Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.3959425Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:30:35.3960102Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.3960423Z [2022-11-23 01:23:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1876 2022-11-23T01:30:35.3960995Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:30:35.3961303Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1877 2022-11-23T01:30:35.3961875Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.3962531Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:30:35.3963179Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.3963489Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866 2022-11-23T01:30:35.3964095Z [2022-11-23 01:23:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:30:35.3964366Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()] 2022-11-23T01:30:35.3964676Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1879 2022-11-23T01:30:35.3965081Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 [] 2022-11-23T01:30:35.3965330Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3965710Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3965958Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3966191Z [2022-11-23 01:23:11,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3966443Z [2022-11-23 01:23:11,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3966689Z [2022-11-23 01:23:11,490] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3966876Z [2022-11-23 01:23:11,491] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3967010Z __compiled_fn_57 .366 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3967087Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3967172Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.3967258Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.3967542Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {} 2022-11-23T01:30:35.3967776Z call_function, getitem, , (convolution_backward_default, 0), {} 2022-11-23T01:30:35.3968007Z call_function, getitem_1, , (convolution_backward_default, 1), {} 2022-11-23T01:30:35.3968234Z call_function, getitem_2, , (convolution_backward_default, 2), {} 2022-11-23T01:30:35.3968359Z output, output, output, ((getitem, getitem_1, getitem_2),), {} 2022-11-23T01:30:35.3968365Z 2022-11-23T01:30:35.3968687Z [2022-11-23 01:23:11,491] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3968766Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3968894Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3968979Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3969074Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3969159Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3969248Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3969324Z 12 RETURN_VALUE 2022-11-23T01:30:35.3969329Z 2022-11-23T01:30:35.3969389Z 2022-11-23T01:30:35.3969703Z [2022-11-23 01:23:11,491] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3969812Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_57) 2022-11-23T01:30:35.3969901Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3969990Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3970065Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3970152Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3970242Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3970304Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.3970393Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3970482Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3970556Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.3970642Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.3970752Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3970851Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3970926Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3971001Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.3971100Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3971187Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.3971260Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.3971359Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3971446Z 38 LOAD_CONST 3 (2) 2022-11-23T01:30:35.3971508Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.3971597Z 42 BUILD_TUPLE 3 2022-11-23T01:30:35.3971670Z 44 RETURN_VALUE 2022-11-23T01:30:35.3971675Z 2022-11-23T01:30:35.3971735Z 2022-11-23T01:30:35.3971918Z [2022-11-23 01:23:11,492] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3971988Z - 2022-11-23T01:30:35.3972104Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3972155Z { 2022-11-23T01:30:35.3972293Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3972478Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.3972597Z 'obj_weakref': None 2022-11-23T01:30:35.3972821Z 'guarded_class': 2022-11-23T01:30:35.3972885Z } 2022-11-23T01:30:35.3972949Z 2022-11-23T01:30:35.3973005Z - 2022-11-23T01:30:35.3973126Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3973189Z { 2022-11-23T01:30:35.3973365Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3973473Z 'code': None, 2022-11-23T01:30:35.3973683Z 'obj_weakref': 2022-11-23T01:30:35.3973935Z 'guarded_class': 2022-11-23T01:30:35.3973997Z } 2022-11-23T01:30:35.3974047Z 2022-11-23T01:30:35.3974117Z - 2022-11-23T01:30:35.3974237Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.3974300Z { 2022-11-23T01:30:35.3974438Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3974543Z 'code': None, 2022-11-23T01:30:35.3974735Z 'obj_weakref': 2022-11-23T01:30:35.3975008Z 'guarded_class': 2022-11-23T01:30:35.3975074Z } 2022-11-23T01:30:35.3975136Z 2022-11-23T01:30:35.3975204Z - 2022-11-23T01:30:35.3975326Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.3975388Z { 2022-11-23T01:30:35.3975514Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3975620Z 'code': None, 2022-11-23T01:30:35.3975824Z 'obj_weakref': 2022-11-23T01:30:35.3976067Z 'guarded_class': 2022-11-23T01:30:35.3976134Z } 2022-11-23T01:30:35.3976196Z 2022-11-23T01:30:35.3976263Z - 2022-11-23T01:30:35.3976392Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.3976445Z { 2022-11-23T01:30:35.3976578Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3976746Z 'code': ['___check_obj_id(model, 140534429131984)'], 2022-11-23T01:30:35.3976868Z 'obj_weakref': None 2022-11-23T01:30:35.3977097Z 'guarded_class': 2022-11-23T01:30:35.3977161Z } 2022-11-23T01:30:35.3977224Z 2022-11-23T01:30:35.3977280Z - 2022-11-23T01:30:35.3977400Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.3977467Z { 2022-11-23T01:30:35.3977601Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.3977817Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.3977932Z 'obj_weakref': None 2022-11-23T01:30:35.3978154Z 'guarded_class': 2022-11-23T01:30:35.3978207Z } 2022-11-23T01:30:35.3978269Z 2022-11-23T01:30:35.3978337Z - 2022-11-23T01:30:35.3978467Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.3978533Z { 2022-11-23T01:30:35.3978650Z 'guard_types': None, 2022-11-23T01:30:35.3978742Z 'code': None, 2022-11-23T01:30:35.3978858Z 'obj_weakref': None 2022-11-23T01:30:35.3978979Z 'guarded_class': None 2022-11-23T01:30:35.3979041Z } 2022-11-23T01:30:35.3979103Z 2022-11-23T01:30:35.3979360Z [2022-11-23 01:23:11,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56 2022-11-23T01:30:35.3979722Z [2022-11-23 01:23:13,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmj7idzz6dyrcn5n5rble5enqjenx7exx7ya5p2z5ogkdqehonnj.py 2022-11-23T01:30:35.3979981Z [2022-11-23 01:23:13,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56 2022-11-23T01:30:35.3979989Z 2022-11-23T01:30:35.3980069Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.3980138Z import torch 2022-11-23T01:30:35.3980207Z import random 2022-11-23T01:30:35.3980351Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.3980475Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.3980480Z 2022-11-23T01:30:35.3980557Z aten = torch.ops.aten 2022-11-23T01:30:35.3980689Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.3980779Z async_compile = AsyncCompile() 2022-11-23T01:30:35.3980784Z 2022-11-23T01:30:35.3980788Z 2022-11-23T01:30:35.3980909Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.3981114Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.3981232Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.3981333Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.3981463Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.3981558Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.3981619Z { 2022-11-23T01:30:35.3981706Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.3981769Z { 2022-11-23T01:30:35.3981858Z #pragma omp for collapse(2) 2022-11-23T01:30:35.3981939Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.3982001Z { 2022-11-23T01:30:35.3982086Z for(long i1=0; i1<320; i1+=1) 2022-11-23T01:30:35.3982149Z { 2022-11-23T01:30:35.3982218Z #pragma GCC ivdep 2022-11-23T01:30:35.3982306Z for(long i2=0; i2<64; i2+=1) 2022-11-23T01:30:35.3982370Z { 2022-11-23T01:30:35.3982437Z { 2022-11-23T01:30:35.3982505Z { 2022-11-23T01:30:35.3982617Z auto tmp0 = in_ptr0[i2 + (64*i1) + (20480*i0)]; 2022-11-23T01:30:35.3982721Z out_ptr0[i1 + (320*i2) + (20480*i0)] = tmp0; 2022-11-23T01:30:35.3982779Z } 2022-11-23T01:30:35.3982846Z } 2022-11-23T01:30:35.3982909Z } 2022-11-23T01:30:35.3982973Z } 2022-11-23T01:30:35.3983035Z } 2022-11-23T01:30:35.3983123Z #pragma omp for collapse(2) 2022-11-23T01:30:35.3983202Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.3983251Z { 2022-11-23T01:30:35.3983337Z for(long i1=0; i1<2048; i1+=1) 2022-11-23T01:30:35.3983400Z { 2022-11-23T01:30:35.3983480Z #pragma GCC ivdep 2022-11-23T01:30:35.3983569Z for(long i2=0; i2<64; i2+=1) 2022-11-23T01:30:35.3983633Z { 2022-11-23T01:30:35.3983686Z { 2022-11-23T01:30:35.3983753Z { 2022-11-23T01:30:35.3983863Z auto tmp0 = in_ptr1[i2 + (64*i1) + (131072*i0)]; 2022-11-23T01:30:35.3983970Z out_ptr1[i1 + (2048*i2) + (131072*i0)] = tmp0; 2022-11-23T01:30:35.3984041Z } 2022-11-23T01:30:35.3984106Z } 2022-11-23T01:30:35.3984170Z } 2022-11-23T01:30:35.3984222Z } 2022-11-23T01:30:35.3984284Z } 2022-11-23T01:30:35.3984346Z } 2022-11-23T01:30:35.3984406Z } 2022-11-23T01:30:35.3984485Z ''') 2022-11-23T01:30:35.3984489Z 2022-11-23T01:30:35.3984493Z 2022-11-23T01:30:35.3984582Z async_compile.wait(globals()) 2022-11-23T01:30:35.3984654Z del async_compile 2022-11-23T01:30:35.3984658Z 2022-11-23T01:30:35.3984728Z def call(args): 2022-11-23T01:30:35.3984797Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.3984866Z args.clear() 2022-11-23T01:30:35.3985092Z buf0 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3985323Z buf1 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3985512Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.3985583Z del arg0_1 2022-11-23T01:30:35.3985651Z del arg1_1 2022-11-23T01:30:35.3985832Z buf2 = aten.convolution_backward(buf0, buf1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]) 2022-11-23T01:30:35.3985901Z del arg2_1 2022-11-23T01:30:35.3985965Z del buf0 2022-11-23T01:30:35.3986029Z del buf1 2022-11-23T01:30:35.3986099Z buf3 = buf2[0] 2022-11-23T01:30:35.3986209Z assert_size_stride(buf3, (2, 2048, 8, 8), (131072, 1, 16384, 2048)) 2022-11-23T01:30:35.3986278Z buf4 = buf2[1] 2022-11-23T01:30:35.3986377Z assert_size_stride(buf4, (320, 2048, 1, 1), (2048, 1, 2048, 2048)) 2022-11-23T01:30:35.3986445Z buf5 = buf2[2] 2022-11-23T01:30:35.3986540Z assert_size_stride(buf5, (320, ), (1, )) 2022-11-23T01:30:35.3986607Z del buf2 2022-11-23T01:30:35.3986690Z return (buf3, buf4, buf5, ) 2022-11-23T01:30:35.3986724Z 2022-11-23T01:30:35.3986728Z 2022-11-23T01:30:35.3986808Z if __name__ == "__main__": 2022-11-23T01:30:35.3986923Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.3987048Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.3987255Z arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3987474Z arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3987703Z arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.3987826Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.3987831Z 2022-11-23T01:30:35.3987898Z ok (1.590s) 2022-11-23T01:30:35.3988087Z test_conv2d_binary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:30:35.3988411Z test_conv2d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.3988737Z [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.3988953Z [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.3989183Z [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.3989453Z [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.3989762Z [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3990099Z [2022-11-23 01:23:13,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3990417Z [2022-11-23 01:23:13,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.3990798Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.3990891Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.3990979Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.3991054Z 4 RETURN_VALUE 2022-11-23T01:30:35.3991104Z 2022-11-23T01:30:35.3991109Z 2022-11-23T01:30:35.3991419Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.3991627Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.3991869Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.3992193Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3992583Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.3992829Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.3993063Z [2022-11-23 01:23:13,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.3993316Z [2022-11-23 01:23:13,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.3993563Z [2022-11-23 01:23:13,061] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.3993774Z [2022-11-23 01:23:13,061] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.3993913Z __compiled_fn_58 .372 opcode, name, target, args, kwargs 2022-11-23T01:30:35.3994003Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.3994102Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.3994201Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.3994207Z 2022-11-23T01:30:35.3994533Z [2022-11-23 01:23:13,062] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3994628Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.3994718Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3994791Z 4 BUILD_MAP 0 2022-11-23T01:30:35.3994884Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.3994969Z 8 DICT_MERGE 1 2022-11-23T01:30:35.3995060Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.3995135Z 12 RETURN_VALUE 2022-11-23T01:30:35.3995141Z 2022-11-23T01:30:35.3995205Z 2022-11-23T01:30:35.3995531Z [2022-11-23 01:23:13,062] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.3995625Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_58) 2022-11-23T01:30:35.3995714Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.3995802Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3995879Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.3995966Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.3996067Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3996167Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.3996253Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.3996319Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.3996403Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.3996477Z 20 RETURN_VALUE 2022-11-23T01:30:35.3996485Z 2022-11-23T01:30:35.3996545Z 2022-11-23T01:30:35.3996725Z [2022-11-23 01:23:13,062] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.3996794Z - 2022-11-23T01:30:35.3996911Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.3996961Z { 2022-11-23T01:30:35.3997099Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.3997285Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.3997402Z 'obj_weakref': None 2022-11-23T01:30:35.3997624Z 'guarded_class': 2022-11-23T01:30:35.3997687Z } 2022-11-23T01:30:35.3997751Z 2022-11-23T01:30:35.3997807Z - 2022-11-23T01:30:35.3997932Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.3997993Z { 2022-11-23T01:30:35.3998133Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.3998272Z 'code': None, 2022-11-23T01:30:35.3998484Z 'obj_weakref': 2022-11-23T01:30:35.3998735Z 'guarded_class': 2022-11-23T01:30:35.3998785Z } 2022-11-23T01:30:35.3998849Z 2022-11-23T01:30:35.3998919Z - 2022-11-23T01:30:35.3999037Z local 'model' NN_MODULE 2022-11-23T01:30:35.3999098Z { 2022-11-23T01:30:35.3999232Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.3999397Z 'code': ['___check_obj_id(model, 140534625129312)'], 2022-11-23T01:30:35.3999606Z 'obj_weakref': 2022-11-23T01:30:35.3999867Z 'guarded_class': 2022-11-23T01:30:35.3999929Z } 2022-11-23T01:30:35.4000081Z 2022-11-23T01:30:35.4000160Z - 2022-11-23T01:30:35.4000283Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4000345Z { 2022-11-23T01:30:35.4000467Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4000682Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4000800Z 'obj_weakref': None 2022-11-23T01:30:35.4001022Z 'guarded_class': 2022-11-23T01:30:35.4001085Z } 2022-11-23T01:30:35.4001147Z 2022-11-23T01:30:35.4001216Z - 2022-11-23T01:30:35.4001346Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4001409Z { 2022-11-23T01:30:35.4001529Z 'guard_types': None, 2022-11-23T01:30:35.4001637Z 'code': None, 2022-11-23T01:30:35.4001756Z 'obj_weakref': None 2022-11-23T01:30:35.4001876Z 'guarded_class': None 2022-11-23T01:30:35.4001940Z } 2022-11-23T01:30:35.4001990Z 2022-11-23T01:30:35.4002058Z - 2022-11-23T01:30:35.4002201Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4002263Z { 2022-11-23T01:30:35.4002381Z 'guard_types': None, 2022-11-23T01:30:35.4002484Z 'code': None, 2022-11-23T01:30:35.4002587Z 'obj_weakref': None 2022-11-23T01:30:35.4002704Z 'guarded_class': None 2022-11-23T01:30:35.4002767Z } 2022-11-23T01:30:35.4002831Z 2022-11-23T01:30:35.4003090Z [2022-11-23 01:23:13,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57 2022-11-23T01:30:35.4003456Z [2022-11-23 01:23:14,548] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmxzwm6wyqg4w2xfl3jdzgcu6ieosxa5kcqv2i4ydfck763kv6j.py 2022-11-23T01:30:35.4003723Z [2022-11-23 01:23:14,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57 2022-11-23T01:30:35.4003960Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4004259Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4004474Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4004714Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4005237Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4005551Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4005961Z [2022-11-23 01:23:14,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4006278Z [2022-11-23 01:23:14,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4006658Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.4006751Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.4006841Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.4006904Z 4 RETURN_VALUE 2022-11-23T01:30:35.4006966Z 2022-11-23T01:30:35.4006973Z 2022-11-23T01:30:35.4007288Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.4007539Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.4007780Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.4008022Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4008402Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.4008643Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4008873Z [2022-11-23 01:23:14,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4009114Z [2022-11-23 01:23:14,559] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4009364Z [2022-11-23 01:23:14,564] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4009551Z [2022-11-23 01:23:14,564] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4009683Z __compiled_fn_59 .383 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4009771Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4009869Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4009966Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4009971Z 2022-11-23T01:30:35.4010295Z [2022-11-23 01:23:14,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4010389Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4010466Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4010555Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4010647Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4010734Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4010822Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4010896Z 12 RETURN_VALUE 2022-11-23T01:30:35.4010901Z 2022-11-23T01:30:35.4010960Z 2022-11-23T01:30:35.4011270Z [2022-11-23 01:23:14,564] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4011378Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_59) 2022-11-23T01:30:35.4011464Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4011553Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4011628Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4011714Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4011821Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4011920Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4012040Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4012119Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.4012204Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.4012278Z 20 RETURN_VALUE 2022-11-23T01:30:35.4012283Z 2022-11-23T01:30:35.4012344Z 2022-11-23T01:30:35.4012524Z [2022-11-23 01:23:14,565] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4012592Z - 2022-11-23T01:30:35.4012697Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4012759Z { 2022-11-23T01:30:35.4012897Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4013081Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4013200Z 'obj_weakref': None 2022-11-23T01:30:35.4013423Z 'guarded_class': 2022-11-23T01:30:35.4013528Z } 2022-11-23T01:30:35.4013579Z 2022-11-23T01:30:35.4013648Z - 2022-11-23T01:30:35.4013772Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4013833Z { 2022-11-23T01:30:35.4013973Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4014078Z 'code': None, 2022-11-23T01:30:35.4014289Z 'obj_weakref': 2022-11-23T01:30:35.4014527Z 'guarded_class': 2022-11-23T01:30:35.4014590Z } 2022-11-23T01:30:35.4014652Z 2022-11-23T01:30:35.4014721Z - 2022-11-23T01:30:35.4014839Z local 'model' NN_MODULE 2022-11-23T01:30:35.4014901Z { 2022-11-23T01:30:35.4015033Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4015189Z 'code': ['___check_obj_id(model, 140534625129312)'], 2022-11-23T01:30:35.4015409Z 'obj_weakref': 2022-11-23T01:30:35.4015643Z 'guarded_class': 2022-11-23T01:30:35.4015706Z } 2022-11-23T01:30:35.4015768Z 2022-11-23T01:30:35.4015835Z - 2022-11-23T01:30:35.4015955Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4016004Z { 2022-11-23T01:30:35.4016139Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4016402Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4016539Z 'obj_weakref': None 2022-11-23T01:30:35.4016757Z 'guarded_class': 2022-11-23T01:30:35.4016818Z } 2022-11-23T01:30:35.4016883Z 2022-11-23T01:30:35.4016939Z - 2022-11-23T01:30:35.4017083Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4017144Z { 2022-11-23T01:30:35.4017264Z 'guard_types': None, 2022-11-23T01:30:35.4017369Z 'code': None, 2022-11-23T01:30:35.4017486Z 'obj_weakref': None 2022-11-23T01:30:35.4017604Z 'guarded_class': None 2022-11-23T01:30:35.4017653Z } 2022-11-23T01:30:35.4017714Z 2022-11-23T01:30:35.4017781Z - 2022-11-23T01:30:35.4017924Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4017985Z { 2022-11-23T01:30:35.4018100Z 'guard_types': None, 2022-11-23T01:30:35.4018191Z 'code': None, 2022-11-23T01:30:35.4018306Z 'obj_weakref': None 2022-11-23T01:30:35.4018425Z 'guarded_class': None 2022-11-23T01:30:35.4018487Z } 2022-11-23T01:30:35.4018549Z 2022-11-23T01:30:35.4018810Z [2022-11-23 01:23:14,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58 2022-11-23T01:30:35.4019215Z [2022-11-23 01:23:14,590] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py 2022-11-23T01:30:35.4019477Z [2022-11-23 01:23:14,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58 2022-11-23T01:30:35.4019701Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4020013Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4020228Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4020469Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4020766Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4021078Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4021410Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4021720Z [2022-11-23 01:23:14,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4022102Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.4022195Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.4022274Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.4022350Z 4 RETURN_VALUE 2022-11-23T01:30:35.4022410Z 2022-11-23T01:30:35.4022417Z 2022-11-23T01:30:35.4022730Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.4022936Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.4023176Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.4023420Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4023808Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.4024051Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4024278Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4024530Z [2022-11-23 01:23:14,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4024774Z [2022-11-23 01:23:14,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4024961Z [2022-11-23 01:23:14,604] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4025095Z __compiled_fn_60 .394 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4025182Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4025278Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4025377Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4025383Z 2022-11-23T01:30:35.4025693Z [2022-11-23 01:23:14,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4025788Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4025908Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4025996Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4026089Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4026172Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4026258Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4026333Z 12 RETURN_VALUE 2022-11-23T01:30:35.4026338Z 2022-11-23T01:30:35.4026385Z 2022-11-23T01:30:35.4026706Z [2022-11-23 01:23:14,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4026813Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_60) 2022-11-23T01:30:35.4026902Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4027023Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4027100Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4027190Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4027280Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4027380Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4027466Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4027543Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.4027630Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.4027704Z 20 RETURN_VALUE 2022-11-23T01:30:35.4027709Z 2022-11-23T01:30:35.4027769Z 2022-11-23T01:30:35.4027950Z [2022-11-23 01:23:14,605] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4028008Z - 2022-11-23T01:30:35.4028126Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4028191Z { 2022-11-23T01:30:35.4028331Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4028518Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4028638Z 'obj_weakref': None 2022-11-23T01:30:35.4028864Z 'guarded_class': 2022-11-23T01:30:35.4028916Z } 2022-11-23T01:30:35.4028979Z 2022-11-23T01:30:35.4029054Z - 2022-11-23T01:30:35.4029178Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4029240Z { 2022-11-23T01:30:35.4029383Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4029488Z 'code': None, 2022-11-23T01:30:35.4029686Z 'obj_weakref': 2022-11-23T01:30:35.4029939Z 'guarded_class': 2022-11-23T01:30:35.4030003Z } 2022-11-23T01:30:35.4030066Z 2022-11-23T01:30:35.4030138Z - 2022-11-23T01:30:35.4030257Z local 'model' NN_MODULE 2022-11-23T01:30:35.4030320Z { 2022-11-23T01:30:35.4030444Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4030610Z 'code': ['___check_obj_id(model, 140534625129312)'], 2022-11-23T01:30:35.4030832Z 'obj_weakref': 2022-11-23T01:30:35.4031064Z 'guarded_class': 2022-11-23T01:30:35.4031128Z } 2022-11-23T01:30:35.4031201Z 2022-11-23T01:30:35.4031299Z - 2022-11-23T01:30:35.4031457Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4031551Z { 2022-11-23T01:30:35.4031743Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4031962Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4032084Z 'obj_weakref': None 2022-11-23T01:30:35.4032305Z 'guarded_class': 2022-11-23T01:30:35.4032416Z } 2022-11-23T01:30:35.4032467Z 2022-11-23T01:30:35.4032539Z - 2022-11-23T01:30:35.4032685Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4032747Z { 2022-11-23T01:30:35.4032866Z 'guard_types': None, 2022-11-23T01:30:35.4032972Z 'code': None, 2022-11-23T01:30:35.4033088Z 'obj_weakref': None 2022-11-23T01:30:35.4033196Z 'guarded_class': None 2022-11-23T01:30:35.4033257Z } 2022-11-23T01:30:35.4033319Z 2022-11-23T01:30:35.4033389Z - 2022-11-23T01:30:35.4033532Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4033594Z { 2022-11-23T01:30:35.4033698Z 'guard_types': None, 2022-11-23T01:30:35.4033804Z 'code': None, 2022-11-23T01:30:35.4033953Z 'obj_weakref': None 2022-11-23T01:30:35.4034073Z 'guarded_class': None 2022-11-23T01:30:35.4034136Z } 2022-11-23T01:30:35.4034201Z 2022-11-23T01:30:35.4034461Z [2022-11-23 01:23:14,623] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59 2022-11-23T01:30:35.4034836Z [2022-11-23 01:23:14,627] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py 2022-11-23T01:30:35.4035084Z [2022-11-23 01:23:14,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59 2022-11-23T01:30:35.4035090Z 2022-11-23T01:30:35.4035185Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4035254Z import torch 2022-11-23T01:30:35.4035324Z import random 2022-11-23T01:30:35.4035441Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4035562Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4035569Z 2022-11-23T01:30:35.4035647Z aten = torch.ops.aten 2022-11-23T01:30:35.4035767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4035861Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4035866Z 2022-11-23T01:30:35.4035870Z 2022-11-23T01:30:35.4036004Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4036207Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4036326Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4036425Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.4036486Z { 2022-11-23T01:30:35.4036584Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4036634Z { 2022-11-23T01:30:35.4036724Z #pragma omp for collapse(3) 2022-11-23T01:30:35.4036805Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.4036867Z { 2022-11-23T01:30:35.4036950Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4037015Z { 2022-11-23T01:30:35.4037104Z for(long i2=0; i2<256; i2+=1) 2022-11-23T01:30:35.4037156Z { 2022-11-23T01:30:35.4037223Z { 2022-11-23T01:30:35.4037292Z { 2022-11-23T01:30:35.4042438Z auto tmp0 = in_ptr0[i2 + (256*i1) + (768*i0)]; 2022-11-23T01:30:35.4042635Z out_ptr0[i1 + (3*i2) + (768*i0)] = tmp0; 2022-11-23T01:30:35.4042708Z } 2022-11-23T01:30:35.4042777Z } 2022-11-23T01:30:35.4042830Z } 2022-11-23T01:30:35.4042894Z } 2022-11-23T01:30:35.4042960Z } 2022-11-23T01:30:35.4043027Z } 2022-11-23T01:30:35.4043090Z } 2022-11-23T01:30:35.4043198Z ''') 2022-11-23T01:30:35.4043204Z 2022-11-23T01:30:35.4043209Z 2022-11-23T01:30:35.4043305Z async_compile.wait(globals()) 2022-11-23T01:30:35.4043367Z del async_compile 2022-11-23T01:30:35.4043372Z 2022-11-23T01:30:35.4043451Z def call(args): 2022-11-23T01:30:35.4043557Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.4043628Z args.clear() 2022-11-23T01:30:35.4043939Z buf0 = empty_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4044081Z kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.4044231Z buf1 = aten.convolution(buf0, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4044326Z assert_size_stride(buf1, (2, 3, 16, 16), (768, 1, 48, 3)) 2022-11-23T01:30:35.4044394Z del buf0 2022-11-23T01:30:35.4044466Z del primals_2 2022-11-23T01:30:35.4044566Z return (buf1, primals_1, primals_3, ) 2022-11-23T01:30:35.4044571Z 2022-11-23T01:30:35.4044575Z 2022-11-23T01:30:35.4044656Z if __name__ == "__main__": 2022-11-23T01:30:35.4044929Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4045105Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4045399Z primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4045586Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4045810Z primals_3 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4045948Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.4045953Z 2022-11-23T01:30:35.4045958Z 2022-11-23T01:30:35.4046052Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4046124Z import torch 2022-11-23T01:30:35.4046197Z import random 2022-11-23T01:30:35.4046312Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4046434Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4046438Z 2022-11-23T01:30:35.4046502Z aten = torch.ops.aten 2022-11-23T01:30:35.4046641Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4046736Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4046741Z 2022-11-23T01:30:35.4046745Z 2022-11-23T01:30:35.4046833Z async_compile.wait(globals()) 2022-11-23T01:30:35.4046908Z del async_compile 2022-11-23T01:30:35.4046913Z 2022-11-23T01:30:35.4046986Z def call(args): 2022-11-23T01:30:35.4047088Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.4047161Z args.clear() 2022-11-23T01:30:35.4047299Z buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4047405Z assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3)) 2022-11-23T01:30:35.4047477Z del primals_2 2022-11-23T01:30:35.4047574Z return (buf0, primals_1, primals_3, ) 2022-11-23T01:30:35.4047579Z 2022-11-23T01:30:35.4047583Z 2022-11-23T01:30:35.4047658Z if __name__ == "__main__": 2022-11-23T01:30:35.4047770Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4047893Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4048110Z primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4048298Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4048518Z primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4048655Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.4048660Z 2022-11-23T01:30:35.4048664Z 2022-11-23T01:30:35.4048758Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4048828Z import torch 2022-11-23T01:30:35.4048899Z import random 2022-11-23T01:30:35.4049013Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4049132Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4049138Z 2022-11-23T01:30:35.4049201Z aten = torch.ops.aten 2022-11-23T01:30:35.4049335Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4049429Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4049433Z 2022-11-23T01:30:35.4049438Z 2022-11-23T01:30:35.4049524Z async_compile.wait(globals()) 2022-11-23T01:30:35.4049641Z del async_compile 2022-11-23T01:30:35.4049646Z 2022-11-23T01:30:35.4049719Z def call(args): 2022-11-23T01:30:35.4049818Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.4049890Z args.clear() 2022-11-23T01:30:35.4050029Z buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4050136Z assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3)) 2022-11-23T01:30:35.4050207Z del primals_2 2022-11-23T01:30:35.4050306Z return (buf0, primals_1, primals_3, ) 2022-11-23T01:30:35.4050311Z 2022-11-23T01:30:35.4050315Z 2022-11-23T01:30:35.4050392Z if __name__ == "__main__": 2022-11-23T01:30:35.4050505Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4050627Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4050876Z primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4051063Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4051281Z primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4051419Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.4051424Z 2022-11-23T01:30:35.4051492Z ok (1.584s) 2022-11-23T01:30:35.4051680Z test_conv2d_unary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:30:35.4052010Z test_conv3d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4052325Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4052548Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4052795Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4053049Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4053359Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4053691Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4054002Z [2022-11-23 01:23:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4054384Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.4054482Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.4054572Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.4054651Z 4 RETURN_VALUE 2022-11-23T01:30:35.4054712Z 2022-11-23T01:30:35.4054718Z 2022-11-23T01:30:35.4055021Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.4055228Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.4055471Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.4055718Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4056137Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.4056388Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4056621Z [2022-11-23 01:23:14,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4056876Z [2022-11-23 01:23:14,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4057128Z [2022-11-23 01:23:14,646] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4057317Z [2022-11-23 01:23:14,646] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4057439Z __compiled_fn_61 .405 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4057530Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4057659Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4057761Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4057766Z 2022-11-23T01:30:35.4058092Z [2022-11-23 01:23:14,646] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4058186Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4058279Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4058367Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4058445Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4058530Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4058617Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4058695Z 12 RETURN_VALUE 2022-11-23T01:30:35.4058700Z 2022-11-23T01:30:35.4058762Z 2022-11-23T01:30:35.4059086Z [2022-11-23 01:23:14,646] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4059200Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_61) 2022-11-23T01:30:35.4059277Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4059366Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4059442Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4059531Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4059634Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4059736Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4059824Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4059902Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.4059976Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.4060052Z 20 RETURN_VALUE 2022-11-23T01:30:35.4060057Z 2022-11-23T01:30:35.4060118Z 2022-11-23T01:30:35.4060303Z [2022-11-23 01:23:14,647] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4060374Z - 2022-11-23T01:30:35.4060493Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4060560Z { 2022-11-23T01:30:35.4060686Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4060872Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4060992Z 'obj_weakref': None 2022-11-23T01:30:35.4061220Z 'guarded_class': 2022-11-23T01:30:35.4061287Z } 2022-11-23T01:30:35.4061351Z 2022-11-23T01:30:35.4061419Z - 2022-11-23T01:30:35.4061529Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4061595Z { 2022-11-23T01:30:35.4061741Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4061849Z 'code': None, 2022-11-23T01:30:35.4062063Z 'obj_weakref': 2022-11-23T01:30:35.4062318Z 'guarded_class': 2022-11-23T01:30:35.4062429Z } 2022-11-23T01:30:35.4062482Z 2022-11-23T01:30:35.4062553Z - 2022-11-23T01:30:35.4062673Z local 'model' NN_MODULE 2022-11-23T01:30:35.4062737Z { 2022-11-23T01:30:35.4062872Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4063042Z 'code': ['___check_obj_id(model, 140534642476944)'], 2022-11-23T01:30:35.4063264Z 'obj_weakref': 2022-11-23T01:30:35.4063484Z 'guarded_class': 2022-11-23T01:30:35.4063549Z } 2022-11-23T01:30:35.4063614Z 2022-11-23T01:30:35.4063683Z - 2022-11-23T01:30:35.4063807Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4063907Z { 2022-11-23T01:30:35.4064047Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4064254Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4064373Z 'obj_weakref': None 2022-11-23T01:30:35.4064596Z 'guarded_class': 2022-11-23T01:30:35.4064659Z } 2022-11-23T01:30:35.4064723Z 2022-11-23T01:30:35.4064793Z - 2022-11-23T01:30:35.4064936Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4064986Z { 2022-11-23T01:30:35.4065108Z 'guard_types': None, 2022-11-23T01:30:35.4065215Z 'code': None, 2022-11-23T01:30:35.4065333Z 'obj_weakref': None 2022-11-23T01:30:35.4065453Z 'guarded_class': None 2022-11-23T01:30:35.4065518Z } 2022-11-23T01:30:35.4065580Z 2022-11-23T01:30:35.4065638Z - 2022-11-23T01:30:35.4065782Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4065847Z { 2022-11-23T01:30:35.4065969Z 'guard_types': None, 2022-11-23T01:30:35.4066074Z 'code': None, 2022-11-23T01:30:35.4066191Z 'obj_weakref': None 2022-11-23T01:30:35.4066298Z 'guarded_class': None 2022-11-23T01:30:35.4066361Z } 2022-11-23T01:30:35.4066424Z 2022-11-23T01:30:35.4066686Z [2022-11-23 01:23:14,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60 2022-11-23T01:30:35.4067057Z [2022-11-23 01:23:16,139] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ln/clnenmxtak34l4fdgm5lh5tczjfegp4zrkvdchfv5bw3gcuqrzmu.py 2022-11-23T01:30:35.4067323Z [2022-11-23 01:23:16,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60 2022-11-23T01:30:35.4067563Z [2022-11-23 01:23:16,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4067888Z [2022-11-23 01:23:16,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4068106Z [2022-11-23 01:23:16,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4068335Z [2022-11-23 01:23:16,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4068602Z [2022-11-23 01:23:16,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4068912Z [2022-11-23 01:23:16,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4069249Z [2022-11-23 01:23:16,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4069563Z [2022-11-23 01:23:16,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4069974Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.4070068Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.4070157Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.4070233Z 4 RETURN_VALUE 2022-11-23T01:30:35.4070282Z 2022-11-23T01:30:35.4070287Z 2022-11-23T01:30:35.4070601Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.4070810Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.4071056Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.4071335Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4071723Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.4071967Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4072203Z [2022-11-23 01:23:16,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4072457Z [2022-11-23 01:23:16,151] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4072706Z [2022-11-23 01:23:16,156] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4072884Z [2022-11-23 01:23:16,156] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4073017Z __compiled_fn_62 .416 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4073109Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4073210Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4073308Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4073314Z 2022-11-23T01:30:35.4073639Z [2022-11-23 01:23:16,156] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4073734Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4073825Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4073898Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4073990Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4074075Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4074167Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4074242Z 12 RETURN_VALUE 2022-11-23T01:30:35.4074247Z 2022-11-23T01:30:35.4074309Z 2022-11-23T01:30:35.4074635Z [2022-11-23 01:23:16,157] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4074732Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_62) 2022-11-23T01:30:35.4074822Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4074911Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4074991Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4075080Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4075184Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4075287Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4075375Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4075439Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.4075528Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.4075604Z 20 RETURN_VALUE 2022-11-23T01:30:35.4075609Z 2022-11-23T01:30:35.4075669Z 2022-11-23T01:30:35.4075885Z [2022-11-23 01:23:16,157] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4075958Z - 2022-11-23T01:30:35.4076077Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4076130Z { 2022-11-23T01:30:35.4076273Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4076460Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4076583Z 'obj_weakref': None 2022-11-23T01:30:35.4076810Z 'guarded_class': 2022-11-23T01:30:35.4076874Z } 2022-11-23T01:30:35.4076939Z 2022-11-23T01:30:35.4076995Z - 2022-11-23T01:30:35.4077120Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4077218Z { 2022-11-23T01:30:35.4077362Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4077468Z 'code': None, 2022-11-23T01:30:35.4077681Z 'obj_weakref': 2022-11-23T01:30:35.4077937Z 'guarded_class': 2022-11-23T01:30:35.4077988Z } 2022-11-23T01:30:35.4078052Z 2022-11-23T01:30:35.4078123Z - 2022-11-23T01:30:35.4078241Z local 'model' NN_MODULE 2022-11-23T01:30:35.4078306Z { 2022-11-23T01:30:35.4078440Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4078610Z 'code': ['___check_obj_id(model, 140534642476944)'], 2022-11-23T01:30:35.4078818Z 'obj_weakref': 2022-11-23T01:30:35.4079052Z 'guarded_class': 2022-11-23T01:30:35.4079121Z } 2022-11-23T01:30:35.4079184Z 2022-11-23T01:30:35.4079253Z - 2022-11-23T01:30:35.4079378Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4079443Z { 2022-11-23T01:30:35.4079564Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4079780Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4079898Z 'obj_weakref': None 2022-11-23T01:30:35.4080207Z 'guarded_class': 2022-11-23T01:30:35.4080274Z } 2022-11-23T01:30:35.4080339Z 2022-11-23T01:30:35.4080415Z - 2022-11-23T01:30:35.4080546Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4080610Z { 2022-11-23T01:30:35.4080729Z 'guard_types': None, 2022-11-23T01:30:35.4080837Z 'code': None, 2022-11-23T01:30:35.4080960Z 'obj_weakref': None 2022-11-23T01:30:35.4081084Z 'guarded_class': None 2022-11-23T01:30:35.4081149Z } 2022-11-23T01:30:35.4081200Z 2022-11-23T01:30:35.4081270Z - 2022-11-23T01:30:35.4081416Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4081480Z { 2022-11-23T01:30:35.4081599Z 'guard_types': None, 2022-11-23T01:30:35.4081706Z 'code': None, 2022-11-23T01:30:35.4081810Z 'obj_weakref': None 2022-11-23T01:30:35.4081930Z 'guarded_class': None 2022-11-23T01:30:35.4081992Z } 2022-11-23T01:30:35.4082055Z 2022-11-23T01:30:35.4082316Z [2022-11-23 01:23:16,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61 2022-11-23T01:30:35.4082682Z [2022-11-23 01:23:17,658] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv3p6gxvcctctx62zed4dszod26ecyg6thnti2gisqwak2ssd3w.py 2022-11-23T01:30:35.4082946Z [2022-11-23 01:23:17,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61 2022-11-23T01:30:35.4083233Z [2022-11-23 01:23:17,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4083535Z [2022-11-23 01:23:17,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4083753Z [2022-11-23 01:23:17,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4083997Z [2022-11-23 01:23:17,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4084264Z [2022-11-23 01:23:17,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4084576Z [2022-11-23 01:23:17,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4085120Z [2022-11-23 01:23:17,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4085441Z [2022-11-23 01:23:17,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4085829Z [2022-11-23 01:23:17,667] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.4085924Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.4086014Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.4086077Z 4 RETURN_VALUE 2022-11-23T01:30:35.4086139Z 2022-11-23T01:30:35.4086145Z 2022-11-23T01:30:35.4086460Z [2022-11-23 01:23:17,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.4086671Z [2022-11-23 01:23:17,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.4086913Z [2022-11-23 01:23:17,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.4087162Z [2022-11-23 01:23:17,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4087548Z [2022-11-23 01:23:17,668] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.4087794Z [2022-11-23 01:23:17,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4088030Z [2022-11-23 01:23:17,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4088269Z [2022-11-23 01:23:17,669] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4088522Z [2022-11-23 01:23:17,673] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4088710Z [2022-11-23 01:23:17,673] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4088843Z __compiled_fn_63 .427 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4088933Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4089033Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4089133Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4089139Z 2022-11-23T01:30:35.4089462Z [2022-11-23 01:23:17,674] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4089555Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4089632Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4089722Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4089814Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4089901Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4090049Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4090128Z 12 RETURN_VALUE 2022-11-23T01:30:35.4090133Z 2022-11-23T01:30:35.4090194Z 2022-11-23T01:30:35.4090507Z [2022-11-23 01:23:17,674] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4090615Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_63) 2022-11-23T01:30:35.4090705Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4090796Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4090874Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4090963Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4091069Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4091209Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4091285Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4091363Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.4091450Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.4091525Z 20 RETURN_VALUE 2022-11-23T01:30:35.4091530Z 2022-11-23T01:30:35.4091592Z 2022-11-23T01:30:35.4091776Z [2022-11-23 01:23:17,674] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4091847Z - 2022-11-23T01:30:35.4091953Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4092018Z { 2022-11-23T01:30:35.4092160Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4092346Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4092467Z 'obj_weakref': None 2022-11-23T01:30:35.4092693Z 'guarded_class': 2022-11-23T01:30:35.4092761Z } 2022-11-23T01:30:35.4092810Z 2022-11-23T01:30:35.4092881Z - 2022-11-23T01:30:35.4093008Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4093074Z { 2022-11-23T01:30:35.4093217Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4093324Z 'code': None, 2022-11-23T01:30:35.4093536Z 'obj_weakref': 2022-11-23T01:30:35.4093774Z 'guarded_class': 2022-11-23T01:30:35.4093838Z } 2022-11-23T01:30:35.4093901Z 2022-11-23T01:30:35.4093974Z - 2022-11-23T01:30:35.4094093Z local 'model' NN_MODULE 2022-11-23T01:30:35.4094157Z { 2022-11-23T01:30:35.4094293Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4094448Z 'code': ['___check_obj_id(model, 140534642476944)'], 2022-11-23T01:30:35.4094671Z 'obj_weakref': 2022-11-23T01:30:35.4094907Z 'guarded_class': 2022-11-23T01:30:35.4094973Z } 2022-11-23T01:30:35.4095035Z 2022-11-23T01:30:35.4095104Z - 2022-11-23T01:30:35.4095227Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4095276Z { 2022-11-23T01:30:35.4095413Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4095632Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4095750Z 'obj_weakref': None 2022-11-23T01:30:35.4095972Z 'guarded_class': 2022-11-23T01:30:35.4096036Z } 2022-11-23T01:30:35.4096100Z 2022-11-23T01:30:35.4096159Z - 2022-11-23T01:30:35.4096304Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4096368Z { 2022-11-23T01:30:35.4096489Z 'guard_types': None, 2022-11-23T01:30:35.4096631Z 'code': None, 2022-11-23T01:30:35.4096752Z 'obj_weakref': None 2022-11-23T01:30:35.4096877Z 'guarded_class': None 2022-11-23T01:30:35.4096926Z } 2022-11-23T01:30:35.4096989Z 2022-11-23T01:30:35.4097058Z - 2022-11-23T01:30:35.4097200Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4097264Z { 2022-11-23T01:30:35.4097383Z 'guard_types': None, 2022-11-23T01:30:35.4097476Z 'code': None, 2022-11-23T01:30:35.4097592Z 'obj_weakref': None 2022-11-23T01:30:35.4097713Z 'guarded_class': None 2022-11-23T01:30:35.4097776Z } 2022-11-23T01:30:35.4097838Z 2022-11-23T01:30:35.4098095Z [2022-11-23 01:23:17,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62 2022-11-23T01:30:35.4098536Z [2022-11-23 01:23:17,707] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv3p6gxvcctctx62zed4dszod26ecyg6thnti2gisqwak2ssd3w.py 2022-11-23T01:30:35.4098799Z [2022-11-23 01:23:17,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62 2022-11-23T01:30:35.4098805Z 2022-11-23T01:30:35.4098886Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4098957Z import torch 2022-11-23T01:30:35.4099026Z import random 2022-11-23T01:30:35.4099144Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4099264Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4099268Z 2022-11-23T01:30:35.4099347Z aten = torch.ops.aten 2022-11-23T01:30:35.4099482Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4099560Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4099580Z 2022-11-23T01:30:35.4099587Z 2022-11-23T01:30:35.4099706Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4099914Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4100034Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4100135Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.4100199Z { 2022-11-23T01:30:35.4100299Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4100363Z { 2022-11-23T01:30:35.4100427Z #pragma omp for 2022-11-23T01:30:35.4100509Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.4100573Z { 2022-11-23T01:30:35.4100724Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.4100817Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.4100881Z } 2022-11-23T01:30:35.4100977Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.4101045Z for(long i0=8; i0<9; i0+=1) 2022-11-23T01:30:35.4101109Z { 2022-11-23T01:30:35.4101193Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.4101275Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.4101341Z } 2022-11-23T01:30:35.4101406Z } 2022-11-23T01:30:35.4101468Z } 2022-11-23T01:30:35.4101533Z ''') 2022-11-23T01:30:35.4101538Z 2022-11-23T01:30:35.4101542Z 2022-11-23T01:30:35.4101630Z async_compile.wait(globals()) 2022-11-23T01:30:35.4101704Z del async_compile 2022-11-23T01:30:35.4101708Z 2022-11-23T01:30:35.4101779Z def call(args): 2022-11-23T01:30:35.4101881Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.4101954Z args.clear() 2022-11-23T01:30:35.4102167Z buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4102292Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.4102442Z buf1 = aten.convolution(primals_3, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.4102558Z assert_size_stride(buf1, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1)) 2022-11-23T01:30:35.4102626Z del buf0 2022-11-23T01:30:35.4102697Z del primals_2 2022-11-23T01:30:35.4102824Z return (buf1, primals_1, primals_3, ) 2022-11-23T01:30:35.4102829Z 2022-11-23T01:30:35.4102833Z 2022-11-23T01:30:35.4102910Z if __name__ == "__main__": 2022-11-23T01:30:35.4103024Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4103133Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4103355Z primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4103552Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4103787Z primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4103925Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.4103970Z 2022-11-23T01:30:35.4103974Z 2022-11-23T01:30:35.4104070Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4104141Z import torch 2022-11-23T01:30:35.4104214Z import random 2022-11-23T01:30:35.4104315Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4104437Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4104442Z 2022-11-23T01:30:35.4104520Z aten = torch.ops.aten 2022-11-23T01:30:35.4104656Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4104749Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4104754Z 2022-11-23T01:30:35.4104758Z 2022-11-23T01:30:35.4104892Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4105099Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4105218Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4105318Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.4105407Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.4105502Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.4105565Z { 2022-11-23T01:30:35.4105666Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4105730Z { 2022-11-23T01:30:35.4105809Z #pragma omp for 2022-11-23T01:30:35.4105878Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.4105940Z { 2022-11-23T01:30:35.4106075Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.4106167Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.4106227Z } 2022-11-23T01:30:35.4106322Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.4106403Z for(long i0=8; i0<9; i0+=1) 2022-11-23T01:30:35.4106453Z { 2022-11-23T01:30:35.4106540Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.4106622Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.4106684Z } 2022-11-23T01:30:35.4106776Z #pragma omp for collapse(3) 2022-11-23T01:30:35.4106857Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.4106941Z { 2022-11-23T01:30:35.4107050Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4107133Z { 2022-11-23T01:30:35.4107258Z for(long i2=0; i2<4096; i2+=1) 2022-11-23T01:30:35.4107322Z { 2022-11-23T01:30:35.4107390Z { 2022-11-23T01:30:35.4107459Z { 2022-11-23T01:30:35.4107570Z auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)]; 2022-11-23T01:30:35.4107665Z out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0; 2022-11-23T01:30:35.4107733Z } 2022-11-23T01:30:35.4107800Z } 2022-11-23T01:30:35.4107866Z } 2022-11-23T01:30:35.4107930Z } 2022-11-23T01:30:35.4107995Z } 2022-11-23T01:30:35.4108058Z } 2022-11-23T01:30:35.4108106Z } 2022-11-23T01:30:35.4108203Z ''') 2022-11-23T01:30:35.4108208Z 2022-11-23T01:30:35.4108212Z 2022-11-23T01:30:35.4108302Z async_compile.wait(globals()) 2022-11-23T01:30:35.4108375Z del async_compile 2022-11-23T01:30:35.4108434Z 2022-11-23T01:30:35.4108505Z def call(args): 2022-11-23T01:30:35.4108608Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.4108684Z args.clear() 2022-11-23T01:30:35.4108887Z buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4109119Z buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4109318Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.4109465Z buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.4109580Z assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1)) 2022-11-23T01:30:35.4109677Z del buf0 2022-11-23T01:30:35.4109742Z del buf1 2022-11-23T01:30:35.4109814Z del primals_2 2022-11-23T01:30:35.4109904Z return (buf2, primals_1, primals_3, ) 2022-11-23T01:30:35.4109909Z 2022-11-23T01:30:35.4109926Z 2022-11-23T01:30:35.4109990Z if __name__ == "__main__": 2022-11-23T01:30:35.4110104Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4110226Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4110448Z primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4110646Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4110879Z primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4111016Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.4111021Z 2022-11-23T01:30:35.4111028Z 2022-11-23T01:30:35.4111123Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4111179Z import torch 2022-11-23T01:30:35.4111250Z import random 2022-11-23T01:30:35.4111368Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4111489Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4111494Z 2022-11-23T01:30:35.4111572Z aten = torch.ops.aten 2022-11-23T01:30:35.4111705Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4111798Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4111803Z 2022-11-23T01:30:35.4111807Z 2022-11-23T01:30:35.4111939Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4112130Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4112250Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4112352Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.4112456Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.4112556Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.4112618Z { 2022-11-23T01:30:35.4112720Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4112769Z { 2022-11-23T01:30:35.4112847Z #pragma omp for 2022-11-23T01:30:35.4112929Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.4112994Z { 2022-11-23T01:30:35.4113131Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.4113224Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.4113291Z } 2022-11-23T01:30:35.4113373Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.4113455Z for(long i0=8; i0<9; i0+=1) 2022-11-23T01:30:35.4113519Z { 2022-11-23T01:30:35.4113603Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.4113683Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.4113747Z } 2022-11-23T01:30:35.4113824Z #pragma omp for collapse(3) 2022-11-23T01:30:35.4113908Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.4113971Z { 2022-11-23T01:30:35.4114051Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4114148Z { 2022-11-23T01:30:35.4114240Z for(long i2=0; i2<4096; i2+=1) 2022-11-23T01:30:35.4114305Z { 2022-11-23T01:30:35.4114358Z { 2022-11-23T01:30:35.4114428Z { 2022-11-23T01:30:35.4114539Z auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)]; 2022-11-23T01:30:35.4114644Z out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0; 2022-11-23T01:30:35.4114713Z } 2022-11-23T01:30:35.4114780Z } 2022-11-23T01:30:35.4114844Z } 2022-11-23T01:30:35.4114895Z } 2022-11-23T01:30:35.4114957Z } 2022-11-23T01:30:35.4115019Z } 2022-11-23T01:30:35.4115081Z } 2022-11-23T01:30:35.4115162Z ''') 2022-11-23T01:30:35.4115196Z 2022-11-23T01:30:35.4115200Z 2022-11-23T01:30:35.4115289Z async_compile.wait(globals()) 2022-11-23T01:30:35.4115361Z del async_compile 2022-11-23T01:30:35.4115366Z 2022-11-23T01:30:35.4115426Z def call(args): 2022-11-23T01:30:35.4115530Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.4115600Z args.clear() 2022-11-23T01:30:35.4115814Z buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4116045Z buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4116244Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.4116391Z buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.4116505Z assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1)) 2022-11-23T01:30:35.4116562Z del buf0 2022-11-23T01:30:35.4116626Z del buf1 2022-11-23T01:30:35.4116698Z del primals_2 2022-11-23T01:30:35.4116795Z return (buf2, primals_1, primals_3, ) 2022-11-23T01:30:35.4116800Z 2022-11-23T01:30:35.4116806Z 2022-11-23T01:30:35.4116883Z if __name__ == "__main__": 2022-11-23T01:30:35.4116997Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4117119Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4117337Z primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4117522Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4117819Z primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4118023Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.4118032Z 2022-11-23T01:30:35.4118124Z ok (3.079s) 2022-11-23T01:30:35.4118294Z test_conv_autotune_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:30:35.4118626Z test_conv_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4118943Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4119163Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4119415Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.4119679Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.4120083Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4120489Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4120814Z [2022-11-23 01:23:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4121187Z [2022-11-23 01:23:17,721] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.4121283Z 4281 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.4121397Z 2 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:30:35.4121485Z 4 BUILD_LIST 0 2022-11-23T01:30:35.4121490Z 2022-11-23T01:30:35.4121593Z 4282 6 LOAD_FAST 0 (rank4_inps) 2022-11-23T01:30:35.4121598Z 2022-11-23T01:30:35.4121720Z 4281 8 LIST_EXTEND 1 2022-11-23T01:30:35.4121724Z 2022-11-23T01:30:35.4121802Z 4283 10 LOAD_DEREF 0 (C) 2022-11-23T01:30:35.4121891Z 12 BUILD_LIST 1 2022-11-23T01:30:35.4121896Z 2022-11-23T01:30:35.4121988Z 4281 14 LIST_APPEND 1 2022-11-23T01:30:35.4121992Z 2022-11-23T01:30:35.4122083Z 4284 16 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4122173Z 18 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4122262Z 20 BUILD_LIST 2 2022-11-23T01:30:35.4122266Z 2022-11-23T01:30:35.4122352Z 4281 22 LIST_APPEND 1 2022-11-23T01:30:35.4122357Z 2022-11-23T01:30:35.4122444Z 4285 24 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4122518Z 26 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4122604Z 28 BUILD_LIST 2 2022-11-23T01:30:35.4122608Z 2022-11-23T01:30:35.4122694Z 4281 30 LIST_APPEND 1 2022-11-23T01:30:35.4122701Z 2022-11-23T01:30:35.4122786Z 4286 32 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4122874Z 34 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4122962Z 36 BUILD_LIST 2 2022-11-23T01:30:35.4122966Z 2022-11-23T01:30:35.4123053Z 4281 38 LIST_APPEND 1 2022-11-23T01:30:35.4123057Z 2022-11-23T01:30:35.4123150Z 4287 40 LOAD_CONST 3 (False) 2022-11-23T01:30:35.4123154Z 2022-11-23T01:30:35.4123240Z 4281 42 LIST_APPEND 1 2022-11-23T01:30:35.4123244Z 2022-11-23T01:30:35.4123316Z 4288 44 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4123404Z 46 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4123487Z 48 BUILD_LIST 2 2022-11-23T01:30:35.4123492Z 2022-11-23T01:30:35.4123579Z 4281 50 LIST_APPEND 1 2022-11-23T01:30:35.4123583Z 2022-11-23T01:30:35.4123673Z 4289 52 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4123677Z 2022-11-23T01:30:35.4123764Z 4281 54 LIST_APPEND 1 2022-11-23T01:30:35.4123768Z 2022-11-23T01:30:35.4123854Z 4290 56 BUILD_LIST 0 2022-11-23T01:30:35.4123963Z 58 LOAD_CONST 4 ((True, True, True)) 2022-11-23T01:30:35.4124048Z 60 LIST_EXTEND 1 2022-11-23T01:30:35.4124052Z 2022-11-23T01:30:35.4124125Z 4281 62 LIST_APPEND 1 2022-11-23T01:30:35.4124202Z 64 LIST_TO_TUPLE 2022-11-23T01:30:35.4124291Z 66 CALL_FUNCTION_EX 0 2022-11-23T01:30:35.4124383Z 68 STORE_FAST 3 (out1) 2022-11-23T01:30:35.4124388Z 2022-11-23T01:30:35.4124478Z 4292 70 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.4124592Z 72 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:30:35.4124679Z 74 BUILD_LIST 0 2022-11-23T01:30:35.4124686Z 2022-11-23T01:30:35.4124900Z 4293 76 LOAD_FAST 0 (rank4_inps) 2022-11-23T01:30:35.4124905Z 2022-11-23T01:30:35.4125027Z 4292 78 LIST_EXTEND 1 2022-11-23T01:30:35.4125046Z 2022-11-23T01:30:35.4125123Z 4294 80 LOAD_DEREF 0 (C) 2022-11-23T01:30:35.4125209Z 82 BUILD_LIST 1 2022-11-23T01:30:35.4125213Z 2022-11-23T01:30:35.4125302Z 4292 84 LIST_APPEND 1 2022-11-23T01:30:35.4125306Z 2022-11-23T01:30:35.4125395Z 4295 86 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4125484Z 88 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4125569Z 90 BUILD_LIST 2 2022-11-23T01:30:35.4125573Z 2022-11-23T01:30:35.4125658Z 4292 92 LIST_APPEND 1 2022-11-23T01:30:35.4125663Z 2022-11-23T01:30:35.4125750Z 4296 94 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4125823Z 96 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4125946Z 98 BUILD_LIST 2 2022-11-23T01:30:35.4125951Z 2022-11-23T01:30:35.4126036Z 4292 100 LIST_APPEND 1 2022-11-23T01:30:35.4126043Z 2022-11-23T01:30:35.4126131Z 4297 102 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4126218Z 104 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4126304Z 106 BUILD_LIST 2 2022-11-23T01:30:35.4126309Z 2022-11-23T01:30:35.4126396Z 4292 108 LIST_APPEND 1 2022-11-23T01:30:35.4126400Z 2022-11-23T01:30:35.4126494Z 4298 110 LOAD_CONST 3 (False) 2022-11-23T01:30:35.4126498Z 2022-11-23T01:30:35.4126583Z 4292 112 LIST_APPEND 1 2022-11-23T01:30:35.4126587Z 2022-11-23T01:30:35.4126660Z 4299 114 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4126745Z 116 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4126830Z 118 BUILD_LIST 2 2022-11-23T01:30:35.4126836Z 2022-11-23T01:30:35.4126922Z 4292 120 LIST_APPEND 1 2022-11-23T01:30:35.4126926Z 2022-11-23T01:30:35.4127016Z 4300 122 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4127021Z 2022-11-23T01:30:35.4127107Z 4292 124 LIST_APPEND 1 2022-11-23T01:30:35.4127111Z 2022-11-23T01:30:35.4127194Z 4301 126 BUILD_LIST 0 2022-11-23T01:30:35.4127303Z 128 LOAD_CONST 5 ((True, False, False)) 2022-11-23T01:30:35.4127376Z 130 LIST_EXTEND 1 2022-11-23T01:30:35.4127392Z 2022-11-23T01:30:35.4127463Z 4292 132 LIST_APPEND 1 2022-11-23T01:30:35.4127541Z 134 LIST_TO_TUPLE 2022-11-23T01:30:35.4127630Z 136 CALL_FUNCTION_EX 0 2022-11-23T01:30:35.4127722Z 138 STORE_FAST 4 (out2) 2022-11-23T01:30:35.4127727Z 2022-11-23T01:30:35.4127817Z 4303 140 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.4127930Z 142 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:30:35.4128016Z 144 BUILD_LIST 0 2022-11-23T01:30:35.4128020Z 2022-11-23T01:30:35.4128108Z 4304 146 LOAD_FAST 1 (rank3_inps) 2022-11-23T01:30:35.4128125Z 2022-11-23T01:30:35.4128198Z 4303 148 LIST_EXTEND 1 2022-11-23T01:30:35.4128202Z 2022-11-23T01:30:35.4128290Z 4305 150 LOAD_DEREF 0 (C) 2022-11-23T01:30:35.4128375Z 152 BUILD_LIST 1 2022-11-23T01:30:35.4128379Z 2022-11-23T01:30:35.4128465Z 4303 154 LIST_APPEND 1 2022-11-23T01:30:35.4128469Z 2022-11-23T01:30:35.4128557Z 4306 156 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4128642Z 158 BUILD_LIST 1 2022-11-23T01:30:35.4128646Z 2022-11-23T01:30:35.4128731Z 4303 160 LIST_APPEND 1 2022-11-23T01:30:35.4128735Z 2022-11-23T01:30:35.4128820Z 4307 162 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4128911Z 164 BUILD_LIST 1 2022-11-23T01:30:35.4128915Z 2022-11-23T01:30:35.4128999Z 4303 166 LIST_APPEND 1 2022-11-23T01:30:35.4129035Z 2022-11-23T01:30:35.4129109Z 4308 168 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4129193Z 170 BUILD_LIST 1 2022-11-23T01:30:35.4129197Z 2022-11-23T01:30:35.4129281Z 4303 172 LIST_APPEND 1 2022-11-23T01:30:35.4129285Z 2022-11-23T01:30:35.4129375Z 4309 174 LOAD_CONST 3 (False) 2022-11-23T01:30:35.4129380Z 2022-11-23T01:30:35.4129463Z 4303 176 LIST_APPEND 1 2022-11-23T01:30:35.4129467Z 2022-11-23T01:30:35.4129552Z 4310 178 LOAD_CONST 2 (0) 2022-11-23T01:30:35.4129633Z 180 BUILD_LIST 1 2022-11-23T01:30:35.4129638Z 2022-11-23T01:30:35.4129722Z 4303 182 LIST_APPEND 1 2022-11-23T01:30:35.4129726Z 2022-11-23T01:30:35.4129839Z 4311 184 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4129844Z 2022-11-23T01:30:35.4129927Z 4303 186 LIST_APPEND 1 2022-11-23T01:30:35.4129932Z 2022-11-23T01:30:35.4130003Z 4312 188 BUILD_LIST 0 2022-11-23T01:30:35.4130109Z 190 LOAD_CONST 4 ((True, True, True)) 2022-11-23T01:30:35.4130192Z 192 LIST_EXTEND 1 2022-11-23T01:30:35.4130196Z 2022-11-23T01:30:35.4130281Z 4303 194 LIST_APPEND 1 2022-11-23T01:30:35.4130356Z 196 LIST_TO_TUPLE 2022-11-23T01:30:35.4130443Z 198 CALL_FUNCTION_EX 0 2022-11-23T01:30:35.4130532Z 200 STORE_FAST 5 (out3) 2022-11-23T01:30:35.4130537Z 2022-11-23T01:30:35.4130626Z 4314 202 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.4130726Z 204 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:30:35.4130809Z 206 BUILD_LIST 0 2022-11-23T01:30:35.4130816Z 2022-11-23T01:30:35.4130914Z 4315 208 LOAD_FAST 2 (rank5_inps) 2022-11-23T01:30:35.4130919Z 2022-11-23T01:30:35.4131006Z 4314 210 LIST_EXTEND 1 2022-11-23T01:30:35.4131010Z 2022-11-23T01:30:35.4131097Z 4316 212 LOAD_DEREF 0 (C) 2022-11-23T01:30:35.4131180Z 214 BUILD_LIST 1 2022-11-23T01:30:35.4131185Z 2022-11-23T01:30:35.4131268Z 4314 216 LIST_APPEND 1 2022-11-23T01:30:35.4131273Z 2022-11-23T01:30:35.4131354Z 4317 218 BUILD_LIST 0 2022-11-23T01:30:35.4131433Z 220 LOAD_CONST 6 ((1, 1, 1)) 2022-11-23T01:30:35.4131519Z 222 LIST_EXTEND 1 2022-11-23T01:30:35.4131525Z 2022-11-23T01:30:35.4131609Z 4314 224 LIST_APPEND 1 2022-11-23T01:30:35.4131613Z 2022-11-23T01:30:35.4131695Z 4318 226 BUILD_LIST 0 2022-11-23T01:30:35.4131786Z 228 LOAD_CONST 7 ((0, 0, 0)) 2022-11-23T01:30:35.4131874Z 230 LIST_EXTEND 1 2022-11-23T01:30:35.4131878Z 2022-11-23T01:30:35.4131964Z 4314 232 LIST_APPEND 1 2022-11-23T01:30:35.4131968Z 2022-11-23T01:30:35.4132049Z 4319 234 BUILD_LIST 0 2022-11-23T01:30:35.4132140Z 236 LOAD_CONST 6 ((1, 1, 1)) 2022-11-23T01:30:35.4132209Z 238 LIST_EXTEND 1 2022-11-23T01:30:35.4132214Z 2022-11-23T01:30:35.4132297Z 4314 240 LIST_APPEND 1 2022-11-23T01:30:35.4132301Z 2022-11-23T01:30:35.4132392Z 4320 242 LOAD_CONST 3 (False) 2022-11-23T01:30:35.4132400Z 2022-11-23T01:30:35.4132484Z 4314 244 LIST_APPEND 1 2022-11-23T01:30:35.4132489Z 2022-11-23T01:30:35.4132570Z 4321 246 BUILD_LIST 0 2022-11-23T01:30:35.4132659Z 248 LOAD_CONST 7 ((0, 0, 0)) 2022-11-23T01:30:35.4132741Z 250 LIST_EXTEND 1 2022-11-23T01:30:35.4132748Z 2022-11-23T01:30:35.4132832Z 4314 252 LIST_APPEND 1 2022-11-23T01:30:35.4132836Z 2022-11-23T01:30:35.4132953Z 4322 254 LOAD_CONST 1 (1) 2022-11-23T01:30:35.4132959Z 2022-11-23T01:30:35.4133031Z 4314 256 LIST_APPEND 1 2022-11-23T01:30:35.4133035Z 2022-11-23T01:30:35.4133118Z 4323 258 BUILD_LIST 0 2022-11-23T01:30:35.4133226Z 260 LOAD_CONST 4 ((True, True, True)) 2022-11-23T01:30:35.4133309Z 262 LIST_EXTEND 1 2022-11-23T01:30:35.4133314Z 2022-11-23T01:30:35.4133399Z 4314 264 LIST_APPEND 1 2022-11-23T01:30:35.4133474Z 266 LIST_TO_TUPLE 2022-11-23T01:30:35.4133561Z 268 CALL_FUNCTION_EX 0 2022-11-23T01:30:35.4133651Z 270 STORE_FAST 6 (out4) 2022-11-23T01:30:35.4133656Z 2022-11-23T01:30:35.4133731Z 4325 272 LOAD_FAST 3 (out1) 2022-11-23T01:30:35.4133849Z 274 LOAD_FAST 4 (out2) 2022-11-23T01:30:35.4133933Z 276 LOAD_FAST 5 (out3) 2022-11-23T01:30:35.4134019Z 278 LOAD_FAST 6 (out4) 2022-11-23T01:30:35.4134103Z 280 BUILD_TUPLE 4 2022-11-23T01:30:35.4134177Z 282 RETURN_VALUE 2022-11-23T01:30:35.4134238Z 2022-11-23T01:30:35.4134242Z 2022-11-23T01:30:35.4134576Z [2022-11-23 01:23:17,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4134782Z [2022-11-23 01:23:17,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.4135115Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:30:35.4135393Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)] 2022-11-23T01:30:35.4135709Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4282 2022-11-23T01:30:35.4136021Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4136330Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4136659Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4136965Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4283 2022-11-23T01:30:35.4137266Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4137604Z [2022-11-23 01:23:17,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4137910Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4138224Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4138534Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4284 2022-11-23T01:30:35.4138830Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4139195Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4139572Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4139880Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4140205Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4140513Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4285 2022-11-23T01:30:35.4140842Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4141178Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4141553Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4141863Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4142178Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4142487Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4286 2022-11-23T01:30:35.4142793Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4143129Z [2022-11-23 01:23:17,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4143508Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4143822Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4144151Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4144464Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4287 2022-11-23T01:30:35.4144768Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4145072Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4145413Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.4145711Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4288 2022-11-23T01:30:35.4146009Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4146385Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4146766Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4147075Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4147401Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4147709Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4289 2022-11-23T01:30:35.4148041Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4148352Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4148689Z [2022-11-23 01:23:17,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4148996Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4290 2022-11-23T01:30:35.4149295Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4149628Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4150000Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4150311Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281 2022-11-23T01:30:35.4150636Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4150947Z [2022-11-23 01:23:17,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4151260Z [2022-11-23 01:23:17,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:30:35.4151505Z [2022-11-23 01:23:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()] 2022-11-23T01:30:35.4151818Z [2022-11-23 01:23:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4152032Z [2022-11-23 01:23:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.4152359Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:30:35.4152634Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)] 2022-11-23T01:30:35.4152932Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4293 2022-11-23T01:30:35.4153240Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4153578Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4153911Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4154216Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4294 2022-11-23T01:30:35.4154515Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4154852Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4155190Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4155517Z [2022-11-23 01:23:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4155820Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4295 2022-11-23T01:30:35.4156119Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4156455Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4156817Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4157128Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4157458Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4157759Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4296 2022-11-23T01:30:35.4158060Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4158395Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4158772Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4159083Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4159409Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4159715Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4297 2022-11-23T01:30:35.4160101Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4160432Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4160840Z [2022-11-23 01:23:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4161150Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4161479Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4161787Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4298 2022-11-23T01:30:35.4162093Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4162427Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4162770Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.4163074Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4299 2022-11-23T01:30:35.4163371Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4163704Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4164081Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.4164378Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4164704Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4165207Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4300 2022-11-23T01:30:35.4165507Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4165809Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4166155Z [2022-11-23 01:23:17,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4166462Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4301 2022-11-23T01:30:35.4166760Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4167111Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, False, False) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4167480Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4167840Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292 2022-11-23T01:30:35.4168171Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4168466Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4168777Z [2022-11-23 01:23:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:30:35.4169019Z [2022-11-23 01:23:17,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()] 2022-11-23T01:30:35.4169327Z [2022-11-23 01:23:17,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4169581Z [2022-11-23 01:23:17,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.4169907Z [2022-11-23 01:23:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:30:35.4170181Z [2022-11-23 01:23:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)] 2022-11-23T01:30:35.4170493Z [2022-11-23 01:23:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4304 2022-11-23T01:30:35.4170804Z [2022-11-23 01:23:17,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4171109Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4171443Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4171736Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4305 2022-11-23T01:30:35.4172035Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4172369Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4172673Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4173001Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4173304Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4306 2022-11-23T01:30:35.4173599Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4173936Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4174241Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4174567Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4174906Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4307 2022-11-23T01:30:35.4175191Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4175527Z [2022-11-23 01:23:17,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4175829Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4176160Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4176500Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4308 2022-11-23T01:30:35.4176800Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4177134Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4177437Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4177761Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4178062Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4309 2022-11-23T01:30:35.4178372Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4178675Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4179001Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.4179306Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4310 2022-11-23T01:30:35.4179599Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4179932Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4180239Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4180561Z [2022-11-23 01:23:17,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4180860Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4311 2022-11-23T01:30:35.4181153Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4181460Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4181828Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4182130Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4312 2022-11-23T01:30:35.4182426Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4182760Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4183127Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4183433Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303 2022-11-23T01:30:35.4183793Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4184100Z [2022-11-23 01:23:17,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4184410Z [2022-11-23 01:23:17,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:30:35.4184650Z [2022-11-23 01:23:17,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()] 2022-11-23T01:30:35.4184956Z [2022-11-23 01:23:17,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4185171Z [2022-11-23 01:23:17,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.4185497Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:30:35.4185768Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)] 2022-11-23T01:30:35.4186067Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4315 2022-11-23T01:30:35.4186372Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4186679Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4187008Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4187315Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4316 2022-11-23T01:30:35.4187610Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4187942Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4188243Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4188567Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4188898Z [2022-11-23 01:23:17,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4317 2022-11-23T01:30:35.4189195Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4189510Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4189874Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4190178Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4190535Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4190838Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4318 2022-11-23T01:30:35.4191131Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4191458Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4191823Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4192127Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4192452Z [2022-11-23 01:23:17,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4192757Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4319 2022-11-23T01:30:35.4193050Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4193361Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4193725Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4194029Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4194352Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4194655Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4320 2022-11-23T01:30:35.4194958Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4195257Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4195597Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.4195983Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4321 2022-11-23T01:30:35.4196284Z [2022-11-23 01:23:17,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4196611Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4196973Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4197270Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4197631Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4197937Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4322 2022-11-23T01:30:35.4198236Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4198537Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4198873Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.4199178Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4323 2022-11-23T01:30:35.4199482Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4199829Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4200276Z [2022-11-23 01:23:17,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.4200588Z [2022-11-23 01:23:17,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314 2022-11-23T01:30:35.4200917Z [2022-11-23 01:23:17,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:30:35.4201219Z [2022-11-23 01:23:17,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:30:35.4201533Z [2022-11-23 01:23:17,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:30:35.4201771Z [2022-11-23 01:23:17,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()] 2022-11-23T01:30:35.4202080Z [2022-11-23 01:23:17,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4325 2022-11-23T01:30:35.4202289Z [2022-11-23 01:23:17,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 [] 2022-11-23T01:30:35.4202528Z [2022-11-23 01:23:17,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()] 2022-11-23T01:30:35.4202791Z [2022-11-23 01:23:17,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()] 2022-11-23T01:30:35.4203122Z [2022-11-23 01:23:17,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()] 2022-11-23T01:30:35.4203440Z [2022-11-23 01:23:17,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()] 2022-11-23T01:30:35.4203685Z [2022-11-23 01:23:17,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4204052Z [2022-11-23 01:23:17,770] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.4204295Z [2022-11-23 01:23:17,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.4204528Z [2022-11-23 01:23:17,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4204928Z [2022-11-23 01:23:17,773] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4205177Z [2022-11-23 01:23:17,782] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4205367Z [2022-11-23 01:23:17,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4205501Z __compiled_fn_64 .438 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4205594Z placeholder, ex_0_0_, ex_0_0_, (), {} 2022-11-23T01:30:35.4205680Z placeholder, ex_0_1_, ex_0_1_, (), {} 2022-11-23T01:30:35.4205752Z placeholder, ex_0_2_, ex_0_2_, (), {} 2022-11-23T01:30:35.4205835Z placeholder, ex_1_0_, ex_1_0_, (), {} 2022-11-23T01:30:35.4205920Z placeholder, ex_1_1_, ex_1_1_, (), {} 2022-11-23T01:30:35.4206003Z placeholder, ex_1_2_, ex_1_2_, (), {} 2022-11-23T01:30:35.4206087Z placeholder, ex_2_0_, ex_2_0_, (), {} 2022-11-23T01:30:35.4206172Z placeholder, ex_2_1_, ex_2_1_, (), {} 2022-11-23T01:30:35.4206254Z placeholder, ex_2_2_, ex_2_2_, (), {} 2022-11-23T01:30:35.4206442Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {} 2022-11-23T01:30:35.4206660Z call_function, getitem, , (convolution_backward, 0), {} 2022-11-23T01:30:35.4206875Z call_function, getitem_1, , (convolution_backward, 1), {} 2022-11-23T01:30:35.4207085Z call_function, getitem_2, , (convolution_backward, 2), {} 2022-11-23T01:30:35.4207283Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {} 2022-11-23T01:30:35.4207499Z call_function, getitem_3, , (convolution_backward_1, 0), {} 2022-11-23T01:30:35.4207693Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {} 2022-11-23T01:30:35.4207915Z call_function, getitem_4, , (convolution_backward_2, 0), {} 2022-11-23T01:30:35.4208131Z call_function, getitem_5, , (convolution_backward_2, 1), {} 2022-11-23T01:30:35.4208332Z call_function, getitem_6, , (convolution_backward_2, 2), {} 2022-11-23T01:30:35.4208531Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {} 2022-11-23T01:30:35.4208743Z call_function, getitem_7, , (convolution_backward_3, 0), {} 2022-11-23T01:30:35.4208953Z call_function, getitem_8, , (convolution_backward_3, 1), {} 2022-11-23T01:30:35.4209169Z call_function, getitem_9, , (convolution_backward_3, 2), {} 2022-11-23T01:30:35.4209371Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {} 2022-11-23T01:30:35.4209423Z 2022-11-23T01:30:35.4209754Z [2022-11-23 01:23:17,783] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4209847Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4209938Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4210012Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4210103Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4210187Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4210275Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4210351Z 12 RETURN_VALUE 2022-11-23T01:30:35.4210356Z 2022-11-23T01:30:35.4210417Z 2022-11-23T01:30:35.4210742Z [2022-11-23 01:23:17,784] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4210889Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_64) 2022-11-23T01:30:35.4210965Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4211053Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4211129Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4211217Z 8 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4211292Z 10 BINARY_SUBSCR 2022-11-23T01:30:35.4211379Z 12 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4211465Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4211526Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.4211612Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4211684Z 20 BINARY_SUBSCR 2022-11-23T01:30:35.4211772Z 22 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4211860Z 24 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4211934Z 26 BINARY_SUBSCR 2022-11-23T01:30:35.4212017Z 28 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4212081Z 30 BINARY_SUBSCR 2022-11-23T01:30:35.4212168Z 32 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4212252Z 34 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4212325Z 36 BINARY_SUBSCR 2022-11-23T01:30:35.4212410Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4212482Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.4212569Z 42 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4212640Z 44 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4212714Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.4212799Z 48 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4212872Z 50 BINARY_SUBSCR 2022-11-23T01:30:35.4212956Z 52 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4213042Z 54 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4213115Z 56 BINARY_SUBSCR 2022-11-23T01:30:35.4213187Z 58 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4213262Z 60 BINARY_SUBSCR 2022-11-23T01:30:35.4213349Z 62 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4213432Z 64 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4213504Z 66 BINARY_SUBSCR 2022-11-23T01:30:35.4213587Z 68 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4213660Z 70 BINARY_SUBSCR 2022-11-23T01:30:35.4213734Z 72 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4213817Z 74 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4213891Z 76 BINARY_SUBSCR 2022-11-23T01:30:35.4213975Z 78 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4214047Z 80 BINARY_SUBSCR 2022-11-23T01:30:35.4214132Z 82 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4214219Z 84 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4214279Z 86 BINARY_SUBSCR 2022-11-23T01:30:35.4214395Z 88 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4214471Z 90 BINARY_SUBSCR 2022-11-23T01:30:35.4214559Z 92 CALL_FUNCTION 9 2022-11-23T01:30:35.4214662Z 94 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4214788Z 96 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:35.4214883Z 98 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:35.4214959Z 100 CALL_FUNCTION 0 2022-11-23T01:30:35.4215053Z 102 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:35.4215155Z 104 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4215245Z 106 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4215319Z 108 BINARY_SUBSCR 2022-11-23T01:30:35.4215452Z 110 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4215537Z 112 LOAD_CONST 2 (1) 2022-11-23T01:30:35.4215601Z 114 BINARY_SUBSCR 2022-11-23T01:30:35.4215701Z 116 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4215788Z 118 LOAD_CONST 3 (2) 2022-11-23T01:30:35.4215863Z 120 BINARY_SUBSCR 2022-11-23T01:30:35.4215950Z 122 BUILD_TUPLE 3 2022-11-23T01:30:35.4216047Z 124 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4216133Z 126 LOAD_CONST 4 (3) 2022-11-23T01:30:35.4216207Z 128 BINARY_SUBSCR 2022-11-23T01:30:35.4216285Z 130 LOAD_CONST 0 (None) 2022-11-23T01:30:35.4216375Z 132 LOAD_CONST 0 (None) 2022-11-23T01:30:35.4216462Z 134 BUILD_TUPLE 3 2022-11-23T01:30:35.4216563Z 136 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4216655Z 138 LOAD_CONST 5 (4) 2022-11-23T01:30:35.4216729Z 140 BINARY_SUBSCR 2022-11-23T01:30:35.4216829Z 142 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4216903Z 144 LOAD_CONST 6 (5) 2022-11-23T01:30:35.4216977Z 146 BINARY_SUBSCR 2022-11-23T01:30:35.4217075Z 148 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4217163Z 150 LOAD_CONST 7 (6) 2022-11-23T01:30:35.4217237Z 152 BINARY_SUBSCR 2022-11-23T01:30:35.4217322Z 154 BUILD_TUPLE 3 2022-11-23T01:30:35.4217419Z 156 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4217491Z 158 LOAD_CONST 8 (7) 2022-11-23T01:30:35.4217564Z 160 BINARY_SUBSCR 2022-11-23T01:30:35.4217663Z 162 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4217751Z 164 LOAD_CONST 9 (8) 2022-11-23T01:30:35.4217825Z 166 BINARY_SUBSCR 2022-11-23T01:30:35.4217924Z 168 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.4218012Z 170 LOAD_CONST 10 (9) 2022-11-23T01:30:35.4218072Z 172 BINARY_SUBSCR 2022-11-23T01:30:35.4218159Z 174 BUILD_TUPLE 3 2022-11-23T01:30:35.4218243Z 176 BUILD_TUPLE 4 2022-11-23T01:30:35.4218338Z 178 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4218438Z 180 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:35.4218523Z 182 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4218598Z 184 BINARY_SUBSCR 2022-11-23T01:30:35.4218686Z 186 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:35.4218777Z 188 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4218873Z 190 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:35.4218962Z 192 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4219038Z 194 BINARY_SUBSCR 2022-11-23T01:30:35.4219170Z 196 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:35.4219245Z 198 RETURN_VALUE 2022-11-23T01:30:35.4219251Z 2022-11-23T01:30:35.4219312Z 2022-11-23T01:30:35.4219491Z [2022-11-23 01:23:17,785] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4219561Z - 2022-11-23T01:30:35.4219682Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4219746Z { 2022-11-23T01:30:35.4219886Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4220072Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.4220191Z 'obj_weakref': None 2022-11-23T01:30:35.4220404Z 'guarded_class': 2022-11-23T01:30:35.4220469Z } 2022-11-23T01:30:35.4220564Z 2022-11-23T01:30:35.4220635Z - 2022-11-23T01:30:35.4220756Z local 'ex[0]' LIST_LENGTH 2022-11-23T01:30:35.4220819Z { 2022-11-23T01:30:35.4220948Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4221140Z 'code': ['___check_type_id(ex[0], 94427249897024)', 'len(ex[0]) == 3'], 2022-11-23T01:30:35.4221257Z 'obj_weakref': None 2022-11-23T01:30:35.4221476Z 'guarded_class': 2022-11-23T01:30:35.4221539Z } 2022-11-23T01:30:35.4221601Z 2022-11-23T01:30:35.4221669Z - 2022-11-23T01:30:35.4221777Z local 'ex[1]' LIST_LENGTH 2022-11-23T01:30:35.4221839Z { 2022-11-23T01:30:35.4221976Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4222167Z 'code': ['___check_type_id(ex[1], 94427249897024)', 'len(ex[1]) == 3'], 2022-11-23T01:30:35.4222283Z 'obj_weakref': None 2022-11-23T01:30:35.4222503Z 'guarded_class': 2022-11-23T01:30:35.4222567Z } 2022-11-23T01:30:35.4222631Z 2022-11-23T01:30:35.4222687Z - 2022-11-23T01:30:35.4222808Z local 'ex[2]' LIST_LENGTH 2022-11-23T01:30:35.4222871Z { 2022-11-23T01:30:35.4223007Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4223193Z 'code': ['___check_type_id(ex[2], 94427249897024)', 'len(ex[2]) == 3'], 2022-11-23T01:30:35.4223308Z 'obj_weakref': None 2022-11-23T01:30:35.4223528Z 'guarded_class': 2022-11-23T01:30:35.4223579Z } 2022-11-23T01:30:35.4223642Z 2022-11-23T01:30:35.4223712Z - 2022-11-23T01:30:35.4223842Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.4223904Z { 2022-11-23T01:30:35.4224036Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4224192Z 'code': ['___check_obj_id(model, 140534431023888)'], 2022-11-23T01:30:35.4224308Z 'obj_weakref': None 2022-11-23T01:30:35.4224537Z 'guarded_class': 2022-11-23T01:30:35.4224602Z } 2022-11-23T01:30:35.4224665Z 2022-11-23T01:30:35.4224733Z - 2022-11-23T01:30:35.4224852Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4224902Z { 2022-11-23T01:30:35.4225035Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4225254Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4225369Z 'obj_weakref': None 2022-11-23T01:30:35.4225589Z 'guarded_class': 2022-11-23T01:30:35.4225650Z } 2022-11-23T01:30:35.4225716Z 2022-11-23T01:30:35.4225772Z - 2022-11-23T01:30:35.4225898Z local 'ex[0][0]' TENSOR_MATCH 2022-11-23T01:30:35.4225960Z { 2022-11-23T01:30:35.4226127Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4226234Z 'code': None, 2022-11-23T01:30:35.4226446Z 'obj_weakref': 2022-11-23T01:30:35.4226695Z 'guarded_class': 2022-11-23T01:30:35.4226757Z } 2022-11-23T01:30:35.4226807Z 2022-11-23T01:30:35.4226875Z - 2022-11-23T01:30:35.4227002Z local 'ex[0][1]' TENSOR_MATCH 2022-11-23T01:30:35.4227065Z { 2022-11-23T01:30:35.4227202Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4227306Z 'code': None, 2022-11-23T01:30:35.4227498Z 'obj_weakref': 2022-11-23T01:30:35.4227782Z 'guarded_class': 2022-11-23T01:30:35.4227847Z } 2022-11-23T01:30:35.4227909Z 2022-11-23T01:30:35.4227977Z - 2022-11-23T01:30:35.4228101Z local 'ex[0][2]' TENSOR_MATCH 2022-11-23T01:30:35.4228162Z { 2022-11-23T01:30:35.4228290Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4228396Z 'code': None, 2022-11-23T01:30:35.4228601Z 'obj_weakref': 2022-11-23T01:30:35.4228840Z 'guarded_class': 2022-11-23T01:30:35.4228904Z } 2022-11-23T01:30:35.4228966Z 2022-11-23T01:30:35.4229035Z - 2022-11-23T01:30:35.4229148Z local 'ex[1][0]' TENSOR_MATCH 2022-11-23T01:30:35.4229212Z { 2022-11-23T01:30:35.4229351Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4229456Z 'code': None, 2022-11-23T01:30:35.4229663Z 'obj_weakref': 2022-11-23T01:30:35.4229900Z 'guarded_class': 2022-11-23T01:30:35.4229963Z } 2022-11-23T01:30:35.4230026Z 2022-11-23T01:30:35.4230081Z - 2022-11-23T01:30:35.4230206Z local 'ex[1][1]' TENSOR_MATCH 2022-11-23T01:30:35.4230268Z { 2022-11-23T01:30:35.4230407Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4230511Z 'code': None, 2022-11-23T01:30:35.4230717Z 'obj_weakref': 2022-11-23T01:30:35.4230953Z 'guarded_class': 2022-11-23T01:30:35.4231008Z } 2022-11-23T01:30:35.4231070Z 2022-11-23T01:30:35.4231139Z - 2022-11-23T01:30:35.4231264Z local 'ex[1][2]' TENSOR_MATCH 2022-11-23T01:30:35.4231332Z { 2022-11-23T01:30:35.4231471Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4231574Z 'code': None, 2022-11-23T01:30:35.4231767Z 'obj_weakref': 2022-11-23T01:30:35.4232016Z 'guarded_class': 2022-11-23T01:30:35.4232078Z } 2022-11-23T01:30:35.4232140Z 2022-11-23T01:30:35.4232208Z - 2022-11-23T01:30:35.4232335Z local 'ex[2][0]' TENSOR_MATCH 2022-11-23T01:30:35.4232396Z { 2022-11-23T01:30:35.4232522Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4232627Z 'code': None, 2022-11-23T01:30:35.4232833Z 'obj_weakref': 2022-11-23T01:30:35.4233120Z 'guarded_class': 2022-11-23T01:30:35.4233184Z } 2022-11-23T01:30:35.4233246Z 2022-11-23T01:30:35.4233316Z - 2022-11-23T01:30:35.4233429Z local 'ex[2][1]' TENSOR_MATCH 2022-11-23T01:30:35.4233490Z { 2022-11-23T01:30:35.4233629Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4233733Z 'code': None, 2022-11-23T01:30:35.4233934Z 'obj_weakref': 2022-11-23T01:30:35.4234176Z 'guarded_class': 2022-11-23T01:30:35.4234239Z } 2022-11-23T01:30:35.4234289Z 2022-11-23T01:30:35.4234357Z - 2022-11-23T01:30:35.4234512Z local 'ex[2][2]' TENSOR_MATCH 2022-11-23T01:30:35.4234574Z { 2022-11-23T01:30:35.4234712Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4234819Z 'code': None, 2022-11-23T01:30:35.4235022Z 'obj_weakref': 2022-11-23T01:30:35.4235252Z 'guarded_class': 2022-11-23T01:30:35.4235316Z } 2022-11-23T01:30:35.4235377Z 2022-11-23T01:30:35.4235445Z - 2022-11-23T01:30:35.4235624Z local 'model.__closure__[0].cell_contents' CONSTANT_MATCH 2022-11-23T01:30:35.4235686Z { 2022-11-23T01:30:35.4235824Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.4236090Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249894784)', 'model.__closure__[0].cell_contents == 4'], 2022-11-23T01:30:35.4236210Z 'obj_weakref': None 2022-11-23T01:30:35.4236433Z 'guarded_class': 2022-11-23T01:30:35.4236498Z } 2022-11-23T01:30:35.4236561Z 2022-11-23T01:30:35.4236630Z - 2022-11-23T01:30:35.4236759Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.4236809Z { 2022-11-23T01:30:35.4236928Z 'guard_types': None, 2022-11-23T01:30:35.4237032Z 'code': None, 2022-11-23T01:30:35.4237148Z 'obj_weakref': None 2022-11-23T01:30:35.4237266Z 'guarded_class': None 2022-11-23T01:30:35.4237329Z } 2022-11-23T01:30:35.4237390Z 2022-11-23T01:30:35.4237639Z [2022-11-23 01:23:17,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63 2022-11-23T01:30:35.4238013Z [2022-11-23 01:23:17,833] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjn2gdsbses4sdmgogfc6zh2ujfoinqq4jl2szxufhey4yyxneg7.py 2022-11-23T01:30:35.4238277Z [2022-11-23 01:23:17,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63 2022-11-23T01:30:35.4238579Z [2022-11-23 01:23:17,834] torch._dynamo.eval_frame: [DEBUG] skipping make_cell /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py 2022-11-23T01:30:35.4238585Z 2022-11-23T01:30:35.4238679Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4238746Z import torch 2022-11-23T01:30:35.4238814Z import random 2022-11-23T01:30:35.4238928Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4239036Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4239054Z 2022-11-23T01:30:35.4239119Z aten = torch.ops.aten 2022-11-23T01:30:35.4239252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4239344Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4239349Z 2022-11-23T01:30:35.4239353Z 2022-11-23T01:30:35.4239442Z async_compile.wait(globals()) 2022-11-23T01:30:35.4239514Z del async_compile 2022-11-23T01:30:35.4239519Z 2022-11-23T01:30:35.4239586Z def call(args): 2022-11-23T01:30:35.4239758Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args 2022-11-23T01:30:35.4239818Z args.clear() 2022-11-23T01:30:35.4240069Z buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]) 2022-11-23T01:30:35.4240142Z buf1 = buf0[0] 2022-11-23T01:30:35.4240248Z assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1)) 2022-11-23T01:30:35.4240317Z buf2 = buf0[1] 2022-11-23T01:30:35.4240421Z assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1)) 2022-11-23T01:30:35.4240489Z buf3 = buf0[2] 2022-11-23T01:30:35.4240570Z assert_size_stride(buf3, (4, ), (1, )) 2022-11-23T01:30:35.4240635Z del buf0 2022-11-23T01:30:35.4240799Z buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]) 2022-11-23T01:30:35.4240902Z del arg0_1 2022-11-23T01:30:35.4240968Z del arg1_1 2022-11-23T01:30:35.4241034Z del arg2_1 2022-11-23T01:30:35.4241103Z buf5 = buf4[0] 2022-11-23T01:30:35.4241196Z assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1)) 2022-11-23T01:30:35.4241262Z del buf4 2022-11-23T01:30:35.4241419Z buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True]) 2022-11-23T01:30:35.4241485Z del arg3_1 2022-11-23T01:30:35.4241551Z del arg4_1 2022-11-23T01:30:35.4241615Z del arg5_1 2022-11-23T01:30:35.4241681Z buf7 = buf6[0] 2022-11-23T01:30:35.4241773Z assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1)) 2022-11-23T01:30:35.4241841Z buf8 = buf6[1] 2022-11-23T01:30:35.4241943Z assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1)) 2022-11-23T01:30:35.4242011Z buf9 = buf6[2] 2022-11-23T01:30:35.4242103Z assert_size_stride(buf9, (4, ), (1, )) 2022-11-23T01:30:35.4242170Z del buf6 2022-11-23T01:30:35.4242339Z buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]) 2022-11-23T01:30:35.4242407Z del arg6_1 2022-11-23T01:30:35.4242460Z del arg7_1 2022-11-23T01:30:35.4242526Z del arg8_1 2022-11-23T01:30:35.4242595Z buf11 = buf10[0] 2022-11-23T01:30:35.4242704Z assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1)) 2022-11-23T01:30:35.4242773Z buf12 = buf10[1] 2022-11-23T01:30:35.4242879Z assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1)) 2022-11-23T01:30:35.4242935Z buf13 = buf10[2] 2022-11-23T01:30:35.4243028Z assert_size_stride(buf13, (4, ), (1, )) 2022-11-23T01:30:35.4243093Z del buf10 2022-11-23T01:30:35.4243221Z return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, ) 2022-11-23T01:30:35.4243226Z 2022-11-23T01:30:35.4243230Z 2022-11-23T01:30:35.4243306Z if __name__ == "__main__": 2022-11-23T01:30:35.4243421Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4243543Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4243763Z arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4243963Z arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4244169Z arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4244373Z arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4244579Z arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4244901Z arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4245167Z arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4245390Z arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4245657Z arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4245820Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1])) 2022-11-23T01:30:35.4245824Z 2022-11-23T01:30:35.4245879Z ok (0.126s) 2022-11-23T01:30:35.4246191Z test_conv_bn_fuse_cpu (__main__.CpuTests) ... [2022-11-23 01:23:17,840] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4246512Z [2022-11-23 01:23:17,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4246728Z [2022-11-23 01:23:17,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4246969Z [2022-11-23 01:23:17,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4247280Z [2022-11-23 01:23:17,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4247594Z [2022-11-23 01:23:17,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4247929Z [2022-11-23 01:23:17,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4248239Z [2022-11-23 01:23:17,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4248484Z [2022-11-23 01:23:17,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4248703Z [2022-11-23 01:23:17,854] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4248959Z [2022-11-23 01:23:17,855] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4249209Z [2022-11-23 01:23:17,870] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4249396Z [2022-11-23 01:23:17,870] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4249527Z __compiled_fn_65 .449 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4249615Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4249712Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4249811Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4249816Z 2022-11-23T01:30:35.4250129Z [2022-11-23 01:23:17,870] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4250223Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4250311Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4250399Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4250489Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4250575Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4250665Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4250740Z 12 RETURN_VALUE 2022-11-23T01:30:35.4250745Z 2022-11-23T01:30:35.4250793Z 2022-11-23T01:30:35.4251119Z [2022-11-23 01:23:17,870] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4251224Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_65) 2022-11-23T01:30:35.4251313Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4251403Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4251479Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4251566Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4251645Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4251720Z 12 RETURN_VALUE 2022-11-23T01:30:35.4251724Z 2022-11-23T01:30:35.4251785Z 2022-11-23T01:30:35.4252004Z [2022-11-23 01:23:17,871] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4252077Z - 2022-11-23T01:30:35.4252196Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4252261Z { 2022-11-23T01:30:35.4252387Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4252570Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4252689Z 'obj_weakref': None 2022-11-23T01:30:35.4252916Z 'guarded_class': 2022-11-23T01:30:35.4252982Z } 2022-11-23T01:30:35.4253045Z 2022-11-23T01:30:35.4253115Z - 2022-11-23T01:30:35.4253224Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4253287Z { 2022-11-23T01:30:35.4253462Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4253570Z 'code': None, 2022-11-23T01:30:35.4253786Z 'obj_weakref': 2022-11-23T01:30:35.4254036Z 'guarded_class': 2022-11-23T01:30:35.4254099Z } 2022-11-23T01:30:35.4254166Z 2022-11-23T01:30:35.4254223Z - 2022-11-23T01:30:35.4254342Z local 'model' NN_MODULE 2022-11-23T01:30:35.4254405Z { 2022-11-23T01:30:35.4254540Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4254707Z 'code': ['___check_obj_id(model, 140534620625584)'], 2022-11-23T01:30:35.4254930Z 'obj_weakref': 2022-11-23T01:30:35.4255165Z 'guarded_class': 2022-11-23T01:30:35.4255218Z } 2022-11-23T01:30:35.4255281Z 2022-11-23T01:30:35.4255350Z - 2022-11-23T01:30:35.4255474Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4255537Z { 2022-11-23T01:30:35.4255673Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4255888Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4255993Z 'obj_weakref': None 2022-11-23T01:30:35.4256214Z 'guarded_class': 2022-11-23T01:30:35.4256278Z } 2022-11-23T01:30:35.4256341Z 2022-11-23T01:30:35.4256411Z - 2022-11-23T01:30:35.4256557Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4256618Z { 2022-11-23T01:30:35.4256725Z 'guard_types': None, 2022-11-23T01:30:35.4256832Z 'code': None, 2022-11-23T01:30:35.4256953Z 'obj_weakref': None 2022-11-23T01:30:35.4257074Z 'guarded_class': None 2022-11-23T01:30:35.4257137Z } 2022-11-23T01:30:35.4257198Z 2022-11-23T01:30:35.4257256Z - 2022-11-23T01:30:35.4257399Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4257465Z { 2022-11-23T01:30:35.4257582Z 'guard_types': None, 2022-11-23T01:30:35.4257687Z 'code': None, 2022-11-23T01:30:35.4257801Z 'obj_weakref': None 2022-11-23T01:30:35.4257921Z 'guarded_class': None 2022-11-23T01:30:35.4257971Z } 2022-11-23T01:30:35.4258033Z 2022-11-23T01:30:35.4258292Z [2022-11-23 01:23:17,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64 2022-11-23T01:30:35.4258660Z [2022-11-23 01:23:17,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py 2022-11-23T01:30:35.4258927Z [2022-11-23 01:23:17,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64 2022-11-23T01:30:35.4259192Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4259508Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4259723Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4259962Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4260217Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4260531Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4260902Z [2022-11-23 01:23:17,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4261215Z [2022-11-23 01:23:17,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4261461Z [2022-11-23 01:23:17,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4261694Z [2022-11-23 01:23:17,941] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4261948Z [2022-11-23 01:23:17,942] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4262198Z [2022-11-23 01:23:17,957] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4262385Z [2022-11-23 01:23:17,958] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4262506Z __compiled_fn_66 .460 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4262594Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4262694Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4262793Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4262798Z 2022-11-23T01:30:35.4263122Z [2022-11-23 01:23:17,958] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4263216Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4263304Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4263389Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4263468Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4263553Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4263641Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4263718Z 12 RETURN_VALUE 2022-11-23T01:30:35.4263723Z 2022-11-23T01:30:35.4263784Z 2022-11-23T01:30:35.4264109Z [2022-11-23 01:23:17,958] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4264215Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_66) 2022-11-23T01:30:35.4264302Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4264378Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4264454Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4264539Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4264628Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4264702Z 12 RETURN_VALUE 2022-11-23T01:30:35.4264706Z 2022-11-23T01:30:35.4264765Z 2022-11-23T01:30:35.4264944Z [2022-11-23 01:23:17,959] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4265000Z - 2022-11-23T01:30:35.4265119Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4265183Z { 2022-11-23T01:30:35.4265322Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4265536Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4265658Z 'obj_weakref': None 2022-11-23T01:30:35.4265882Z 'guarded_class': 2022-11-23T01:30:35.4265934Z } 2022-11-23T01:30:35.4265995Z 2022-11-23T01:30:35.4266063Z - 2022-11-23T01:30:35.4266184Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4266247Z { 2022-11-23T01:30:35.4266417Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4266521Z 'code': None, 2022-11-23T01:30:35.4266719Z 'obj_weakref': 2022-11-23T01:30:35.4266971Z 'guarded_class': 2022-11-23T01:30:35.4267063Z } 2022-11-23T01:30:35.4267125Z 2022-11-23T01:30:35.4267194Z - 2022-11-23T01:30:35.4267316Z local 'model' NN_MODULE 2022-11-23T01:30:35.4267378Z { 2022-11-23T01:30:35.4267498Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4267667Z 'code': ['___check_obj_id(model, 140534619885088)'], 2022-11-23T01:30:35.4267887Z 'obj_weakref': 2022-11-23T01:30:35.4268120Z 'guarded_class': 2022-11-23T01:30:35.4268183Z } 2022-11-23T01:30:35.4268244Z 2022-11-23T01:30:35.4268311Z - 2022-11-23T01:30:35.4268419Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4268481Z { 2022-11-23T01:30:35.4268616Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4268833Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4268949Z 'obj_weakref': None 2022-11-23T01:30:35.4269171Z 'guarded_class': 2022-11-23T01:30:35.4269233Z } 2022-11-23T01:30:35.4269282Z 2022-11-23T01:30:35.4269350Z - 2022-11-23T01:30:35.4269492Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4269555Z { 2022-11-23T01:30:35.4269689Z 'guard_types': None, 2022-11-23T01:30:35.4269836Z 'code': None, 2022-11-23T01:30:35.4270009Z 'obj_weakref': None 2022-11-23T01:30:35.4270119Z 'guarded_class': None 2022-11-23T01:30:35.4270182Z } 2022-11-23T01:30:35.4270245Z 2022-11-23T01:30:35.4270313Z - 2022-11-23T01:30:35.4270455Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4270520Z { 2022-11-23T01:30:35.4270640Z 'guard_types': None, 2022-11-23T01:30:35.4270732Z 'code': None, 2022-11-23T01:30:35.4270849Z 'obj_weakref': None 2022-11-23T01:30:35.4270972Z 'guarded_class': None 2022-11-23T01:30:35.4271033Z } 2022-11-23T01:30:35.4271096Z 2022-11-23T01:30:35.4271355Z [2022-11-23 01:23:17,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65 2022-11-23T01:30:35.4271726Z [2022-11-23 01:23:17,973] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py 2022-11-23T01:30:35.4271977Z [2022-11-23 01:23:17,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65 2022-11-23T01:30:35.4272211Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4272522Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4272788Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4273033Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4273300Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4273610Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4273944Z [2022-11-23 01:23:17,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4274252Z [2022-11-23 01:23:17,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4274532Z [2022-11-23 01:23:17,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4274756Z [2022-11-23 01:23:17,991] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4275010Z [2022-11-23 01:23:17,992] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4275256Z [2022-11-23 01:23:18,006] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4275446Z [2022-11-23 01:23:18,007] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4275578Z __compiled_fn_67 .471 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4275667Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4275765Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4275863Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4275871Z 2022-11-23T01:30:35.4276193Z [2022-11-23 01:23:18,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4276275Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4276363Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4276448Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4276539Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4276623Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4276709Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4276783Z 12 RETURN_VALUE 2022-11-23T01:30:35.4276788Z 2022-11-23T01:30:35.4276835Z 2022-11-23T01:30:35.4277163Z [2022-11-23 01:23:18,007] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4277270Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_67) 2022-11-23T01:30:35.4277361Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4277448Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4277525Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4277610Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4277697Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4277758Z 12 RETURN_VALUE 2022-11-23T01:30:35.4277763Z 2022-11-23T01:30:35.4277824Z 2022-11-23T01:30:35.4278008Z [2022-11-23 01:23:18,008] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4278078Z - 2022-11-23T01:30:35.4278195Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4278259Z { 2022-11-23T01:30:35.4278397Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4278569Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4278685Z 'obj_weakref': None 2022-11-23T01:30:35.4278911Z 'guarded_class': 2022-11-23T01:30:35.4278975Z } 2022-11-23T01:30:35.4279037Z 2022-11-23T01:30:35.4279134Z - 2022-11-23T01:30:35.4279259Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4279310Z { 2022-11-23T01:30:35.4279451Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4279558Z 'code': None, 2022-11-23T01:30:35.4279768Z 'obj_weakref': 2022-11-23T01:30:35.4280111Z 'guarded_class': 2022-11-23T01:30:35.4280178Z } 2022-11-23T01:30:35.4280240Z 2022-11-23T01:30:35.4280299Z - 2022-11-23T01:30:35.4280419Z local 'model' NN_MODULE 2022-11-23T01:30:35.4280485Z { 2022-11-23T01:30:35.4280619Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4280827Z 'code': ['___check_obj_id(model, 140534431185936)'], 2022-11-23T01:30:35.4281049Z 'obj_weakref': 2022-11-23T01:30:35.4281285Z 'guarded_class': 2022-11-23T01:30:35.4281336Z } 2022-11-23T01:30:35.4281399Z 2022-11-23T01:30:35.4281468Z - 2022-11-23T01:30:35.4281590Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4281652Z { 2022-11-23T01:30:35.4281785Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4282001Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4282106Z 'obj_weakref': None 2022-11-23T01:30:35.4282325Z 'guarded_class': 2022-11-23T01:30:35.4282387Z } 2022-11-23T01:30:35.4282452Z 2022-11-23T01:30:35.4282520Z - 2022-11-23T01:30:35.4282663Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4282724Z { 2022-11-23T01:30:35.4282832Z 'guard_types': None, 2022-11-23T01:30:35.4282937Z 'code': None, 2022-11-23T01:30:35.4283053Z 'obj_weakref': None 2022-11-23T01:30:35.4283172Z 'guarded_class': None 2022-11-23T01:30:35.4283234Z } 2022-11-23T01:30:35.4283296Z 2022-11-23T01:30:35.4283351Z - 2022-11-23T01:30:35.4283493Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4283554Z { 2022-11-23T01:30:35.4283670Z 'guard_types': None, 2022-11-23T01:30:35.4283773Z 'code': None, 2022-11-23T01:30:35.4283888Z 'obj_weakref': None 2022-11-23T01:30:35.4284006Z 'guarded_class': None 2022-11-23T01:30:35.4284055Z } 2022-11-23T01:30:35.4284117Z 2022-11-23T01:30:35.4284375Z [2022-11-23 01:23:18,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66 2022-11-23T01:30:35.4284731Z [2022-11-23 01:23:18,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py 2022-11-23T01:30:35.4285183Z [2022-11-23 01:23:18,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66 2022-11-23T01:30:35.4285419Z [2022-11-23 01:23:18,026] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4285735Z [2022-11-23 01:23:18,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4285949Z [2022-11-23 01:23:18,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4286194Z [2022-11-23 01:23:18,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4286451Z [2022-11-23 01:23:18,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4286832Z [2022-11-23 01:23:18,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4287170Z [2022-11-23 01:23:18,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4287480Z [2022-11-23 01:23:18,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4287725Z [2022-11-23 01:23:18,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4287958Z [2022-11-23 01:23:18,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4288211Z [2022-11-23 01:23:18,040] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4288498Z [2022-11-23 01:23:18,055] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4288688Z [2022-11-23 01:23:18,056] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4288820Z __compiled_fn_68 .482 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4288898Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4288996Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4289095Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4289101Z 2022-11-23T01:30:35.4289423Z [2022-11-23 01:23:18,056] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4289517Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4289607Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4289695Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4289773Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4289862Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4289950Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4290026Z 12 RETURN_VALUE 2022-11-23T01:30:35.4290031Z 2022-11-23T01:30:35.4290090Z 2022-11-23T01:30:35.4290415Z [2022-11-23 01:23:18,056] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4290522Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_68) 2022-11-23T01:30:35.4290610Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4290686Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4290762Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4290847Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4290936Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4291012Z 12 RETURN_VALUE 2022-11-23T01:30:35.4291017Z 2022-11-23T01:30:35.4291076Z 2022-11-23T01:30:35.4291258Z [2022-11-23 01:23:18,057] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4291316Z - 2022-11-23T01:30:35.4291433Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4291495Z { 2022-11-23T01:30:35.4291636Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4291820Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4291938Z 'obj_weakref': None 2022-11-23T01:30:35.4292161Z 'guarded_class': 2022-11-23T01:30:35.4292224Z } 2022-11-23T01:30:35.4292275Z 2022-11-23T01:30:35.4292343Z - 2022-11-23T01:30:35.4292464Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4292527Z { 2022-11-23T01:30:35.4292670Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4292776Z 'code': None, 2022-11-23T01:30:35.4293014Z 'obj_weakref': 2022-11-23T01:30:35.4293267Z 'guarded_class': 2022-11-23T01:30:35.4293330Z } 2022-11-23T01:30:35.4293393Z 2022-11-23T01:30:35.4293464Z - 2022-11-23T01:30:35.4293582Z local 'model' NN_MODULE 2022-11-23T01:30:35.4293644Z { 2022-11-23T01:30:35.4293766Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4293932Z 'code': ['___check_obj_id(model, 140534429299424)'], 2022-11-23T01:30:35.4294153Z 'obj_weakref': 2022-11-23T01:30:35.4294389Z 'guarded_class': 2022-11-23T01:30:35.4294514Z } 2022-11-23T01:30:35.4294576Z 2022-11-23T01:30:35.4294647Z - 2022-11-23T01:30:35.4294755Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4294820Z { 2022-11-23T01:30:35.4294955Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4295174Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4295290Z 'obj_weakref': None 2022-11-23T01:30:35.4295512Z 'guarded_class': 2022-11-23T01:30:35.4295577Z } 2022-11-23T01:30:35.4295639Z 2022-11-23T01:30:35.4295696Z - 2022-11-23T01:30:35.4295842Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4295906Z { 2022-11-23T01:30:35.4296025Z 'guard_types': None, 2022-11-23T01:30:35.4296130Z 'code': None, 2022-11-23T01:30:35.4296249Z 'obj_weakref': None 2022-11-23T01:30:35.4296356Z 'guarded_class': None 2022-11-23T01:30:35.4296419Z } 2022-11-23T01:30:35.4296480Z 2022-11-23T01:30:35.4296551Z - 2022-11-23T01:30:35.4296696Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4296758Z { 2022-11-23T01:30:35.4296876Z 'guard_types': None, 2022-11-23T01:30:35.4296967Z 'code': None, 2022-11-23T01:30:35.4297084Z 'obj_weakref': None 2022-11-23T01:30:35.4297204Z 'guarded_class': None 2022-11-23T01:30:35.4297268Z } 2022-11-23T01:30:35.4297329Z 2022-11-23T01:30:35.4297585Z [2022-11-23 01:23:18,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67 2022-11-23T01:30:35.4297953Z [2022-11-23 01:23:18,071] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py 2022-11-23T01:30:35.4298205Z [2022-11-23 01:23:18,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67 2022-11-23T01:30:35.4298441Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4298756Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4298971Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4299213Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4299478Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4299812Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4300150Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4300496Z [2022-11-23 01:23:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4300744Z [2022-11-23 01:23:18,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4300964Z [2022-11-23 01:23:18,089] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4301215Z [2022-11-23 01:23:18,090] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4301462Z [2022-11-23 01:23:18,105] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4301649Z [2022-11-23 01:23:18,105] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4301812Z __compiled_fn_69 .493 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4301902Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4302009Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4302106Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4302111Z 2022-11-23T01:30:35.4302438Z [2022-11-23 01:23:18,105] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4302519Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4302609Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4302694Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4302785Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4302868Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4302955Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4303029Z 12 RETURN_VALUE 2022-11-23T01:30:35.4303036Z 2022-11-23T01:30:35.4303084Z 2022-11-23T01:30:35.4303411Z [2022-11-23 01:23:18,105] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4303518Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_69) 2022-11-23T01:30:35.4303606Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4303694Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4303769Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4303856Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4303945Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4304006Z 12 RETURN_VALUE 2022-11-23T01:30:35.4304010Z 2022-11-23T01:30:35.4304070Z 2022-11-23T01:30:35.4304251Z [2022-11-23 01:23:18,106] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4304322Z - 2022-11-23T01:30:35.4304440Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4304506Z { 2022-11-23T01:30:35.4304647Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4304821Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4304942Z 'obj_weakref': None 2022-11-23T01:30:35.4305168Z 'guarded_class': 2022-11-23T01:30:35.4305234Z } 2022-11-23T01:30:35.4305296Z 2022-11-23T01:30:35.4305364Z - 2022-11-23T01:30:35.4305486Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4305536Z { 2022-11-23T01:30:35.4305675Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4305780Z 'code': None, 2022-11-23T01:30:35.4305990Z 'obj_weakref': 2022-11-23T01:30:35.4306239Z 'guarded_class': 2022-11-23T01:30:35.4306305Z } 2022-11-23T01:30:35.4306367Z 2022-11-23T01:30:35.4306425Z - 2022-11-23T01:30:35.4306572Z local 'model' NN_MODULE 2022-11-23T01:30:35.4306636Z { 2022-11-23T01:30:35.4306770Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4306936Z 'code': ['___check_obj_id(model, 140534429293808)'], 2022-11-23T01:30:35.4307155Z 'obj_weakref': 2022-11-23T01:30:35.4307389Z 'guarded_class': 2022-11-23T01:30:35.4307439Z } 2022-11-23T01:30:35.4307502Z 2022-11-23T01:30:35.4307571Z - 2022-11-23T01:30:35.4307692Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4307754Z { 2022-11-23T01:30:35.4307887Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4308102Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4308246Z 'obj_weakref': None 2022-11-23T01:30:35.4308469Z 'guarded_class': 2022-11-23T01:30:35.4308532Z } 2022-11-23T01:30:35.4308594Z 2022-11-23T01:30:35.4308662Z - 2022-11-23T01:30:35.4308807Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4308868Z { 2022-11-23T01:30:35.4308973Z 'guard_types': None, 2022-11-23T01:30:35.4309078Z 'code': None, 2022-11-23T01:30:35.4309197Z 'obj_weakref': None 2022-11-23T01:30:35.4309317Z 'guarded_class': None 2022-11-23T01:30:35.4309380Z } 2022-11-23T01:30:35.4309441Z 2022-11-23T01:30:35.4309508Z - 2022-11-23T01:30:35.4309640Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4309701Z { 2022-11-23T01:30:35.4309821Z 'guard_types': None, 2022-11-23T01:30:35.4309925Z 'code': None, 2022-11-23T01:30:35.4310039Z 'obj_weakref': None 2022-11-23T01:30:35.4310158Z 'guarded_class': None 2022-11-23T01:30:35.4310208Z } 2022-11-23T01:30:35.4310269Z 2022-11-23T01:30:35.4310526Z [2022-11-23 01:23:18,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68 2022-11-23T01:30:35.4310890Z [2022-11-23 01:23:18,256] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py 2022-11-23T01:30:35.4311153Z [2022-11-23 01:23:18,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68 2022-11-23T01:30:35.4311388Z [2022-11-23 01:23:18,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4311701Z [2022-11-23 01:23:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4311921Z [2022-11-23 01:23:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4312161Z [2022-11-23 01:23:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4312416Z [2022-11-23 01:23:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4312725Z [2022-11-23 01:23:18,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4313060Z [2022-11-23 01:23:18,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4313371Z [2022-11-23 01:23:18,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4313620Z [2022-11-23 01:23:18,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4313879Z [2022-11-23 01:23:18,273] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4314134Z [2022-11-23 01:23:18,274] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4314381Z [2022-11-23 01:23:18,289] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4314567Z [2022-11-23 01:23:18,289] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4314699Z __compiled_fn_70 .504 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4314775Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4314872Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4314970Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4314975Z 2022-11-23T01:30:35.4315330Z [2022-11-23 01:23:18,290] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4315426Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4315514Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4315601Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4315691Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4315763Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4315850Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4315925Z 12 RETURN_VALUE 2022-11-23T01:30:35.4315930Z 2022-11-23T01:30:35.4315990Z 2022-11-23T01:30:35.4316310Z [2022-11-23 01:23:18,290] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4316416Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_70) 2022-11-23T01:30:35.4316506Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4316584Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4316661Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4316749Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4316838Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4316911Z 12 RETURN_VALUE 2022-11-23T01:30:35.4316916Z 2022-11-23T01:30:35.4316976Z 2022-11-23T01:30:35.4317155Z [2022-11-23 01:23:18,290] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4317224Z - 2022-11-23T01:30:35.4317329Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4317392Z { 2022-11-23T01:30:35.4317530Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4317713Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4317832Z 'obj_weakref': None 2022-11-23T01:30:35.4318055Z 'guarded_class': 2022-11-23T01:30:35.4318121Z } 2022-11-23T01:30:35.4318172Z 2022-11-23T01:30:35.4318240Z - 2022-11-23T01:30:35.4318363Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4318425Z { 2022-11-23T01:30:35.4318564Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4318669Z 'code': None, 2022-11-23T01:30:35.4318868Z 'obj_weakref': 2022-11-23T01:30:35.4319118Z 'guarded_class': 2022-11-23T01:30:35.4319180Z } 2022-11-23T01:30:35.4319243Z 2022-11-23T01:30:35.4319312Z - 2022-11-23T01:30:35.4319429Z local 'model' NN_MODULE 2022-11-23T01:30:35.4319491Z { 2022-11-23T01:30:35.4319612Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4319783Z 'code': ['___check_obj_id(model, 140534429287904)'], 2022-11-23T01:30:35.4320094Z 'obj_weakref': 2022-11-23T01:30:35.4320378Z 'guarded_class': 2022-11-23T01:30:35.4320444Z } 2022-11-23T01:30:35.4320507Z 2022-11-23T01:30:35.4320576Z - 2022-11-23T01:30:35.4320697Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4320746Z { 2022-11-23T01:30:35.4320880Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4321095Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4321213Z 'obj_weakref': None 2022-11-23T01:30:35.4321435Z 'guarded_class': 2022-11-23T01:30:35.4321498Z } 2022-11-23T01:30:35.4321590Z 2022-11-23T01:30:35.4321648Z - 2022-11-23T01:30:35.4321792Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4321855Z { 2022-11-23T01:30:35.4321975Z 'guard_types': None, 2022-11-23T01:30:35.4322082Z 'code': None, 2022-11-23T01:30:35.4322198Z 'obj_weakref': None 2022-11-23T01:30:35.4322317Z 'guarded_class': None 2022-11-23T01:30:35.4322367Z } 2022-11-23T01:30:35.4322428Z 2022-11-23T01:30:35.4322495Z - 2022-11-23T01:30:35.4322638Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4322700Z { 2022-11-23T01:30:35.4322817Z 'guard_types': None, 2022-11-23T01:30:35.4322908Z 'code': None, 2022-11-23T01:30:35.4323024Z 'obj_weakref': None 2022-11-23T01:30:35.4323144Z 'guarded_class': None 2022-11-23T01:30:35.4323205Z } 2022-11-23T01:30:35.4323266Z 2022-11-23T01:30:35.4323527Z [2022-11-23 01:23:18,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69 2022-11-23T01:30:35.4323532Z 2022-11-23T01:30:35.4323628Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4323684Z import torch 2022-11-23T01:30:35.4323752Z import random 2022-11-23T01:30:35.4323865Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4323986Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4323992Z 2022-11-23T01:30:35.4324068Z aten = torch.ops.aten 2022-11-23T01:30:35.4324203Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4324295Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4324300Z 2022-11-23T01:30:35.4324304Z 2022-11-23T01:30:35.4324390Z async_compile.wait(globals()) 2022-11-23T01:30:35.4324450Z del async_compile 2022-11-23T01:30:35.4324455Z 2022-11-23T01:30:35.4324524Z def call(args): 2022-11-23T01:30:35.4324643Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4324717Z args.clear() 2022-11-23T01:30:35.4324959Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:30:35.4325067Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:30:35.4325135Z del arg0_1 2022-11-23T01:30:35.4325187Z del arg1_1 2022-11-23T01:30:35.4325253Z del arg7_1 2022-11-23T01:30:35.4325323Z return (buf0, ) 2022-11-23T01:30:35.4325328Z 2022-11-23T01:30:35.4325332Z 2022-11-23T01:30:35.4325407Z if __name__ == "__main__": 2022-11-23T01:30:35.4325522Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4325644Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4325852Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4326043Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4326221Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4326412Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4326645Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4326833Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4327011Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4327216Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4327370Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4327375Z 2022-11-23T01:30:35.4327379Z 2022-11-23T01:30:35.4327473Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4327542Z import torch 2022-11-23T01:30:35.4327598Z import random 2022-11-23T01:30:35.4327712Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4327833Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4327872Z 2022-11-23T01:30:35.4327951Z aten = torch.ops.aten 2022-11-23T01:30:35.4328086Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4328177Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4328182Z 2022-11-23T01:30:35.4328186Z 2022-11-23T01:30:35.4328272Z async_compile.wait(globals()) 2022-11-23T01:30:35.4328331Z del async_compile 2022-11-23T01:30:35.4328350Z 2022-11-23T01:30:35.4328407Z def call(args): 2022-11-23T01:30:35.4328523Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4328594Z args.clear() 2022-11-23T01:30:35.4328726Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:30:35.4328833Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:30:35.4328900Z del arg0_1 2022-11-23T01:30:35.4328965Z del arg1_1 2022-11-23T01:30:35.4329018Z del arg7_1 2022-11-23T01:30:35.4329089Z return (buf0, ) 2022-11-23T01:30:35.4329094Z 2022-11-23T01:30:35.4329098Z 2022-11-23T01:30:35.4329172Z if __name__ == "__main__": 2022-11-23T01:30:35.4329286Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4329407Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4329610Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4329802Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4329992Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4330167Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4330353Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4330539Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4330716Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4330927Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4331083Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4331088Z 2022-11-23T01:30:35.4331092Z 2022-11-23T01:30:35.4331186Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4331255Z import torch 2022-11-23T01:30:35.4331313Z import random 2022-11-23T01:30:35.4331427Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4331547Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4331552Z 2022-11-23T01:30:35.4331630Z aten = torch.ops.aten 2022-11-23T01:30:35.4331762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4331853Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4331858Z 2022-11-23T01:30:35.4331862Z 2022-11-23T01:30:35.4331950Z async_compile.wait(globals()) 2022-11-23T01:30:35.4332024Z del async_compile 2022-11-23T01:30:35.4332028Z 2022-11-23T01:30:35.4332084Z def call(args): 2022-11-23T01:30:35.4332199Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4332316Z args.clear() 2022-11-23T01:30:35.4332450Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:30:35.4332555Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:30:35.4332622Z del arg0_1 2022-11-23T01:30:35.4332688Z del arg1_1 2022-11-23T01:30:35.4332741Z del arg7_1 2022-11-23T01:30:35.4332811Z return (buf0, ) 2022-11-23T01:30:35.4332816Z 2022-11-23T01:30:35.4332820Z 2022-11-23T01:30:35.4332896Z if __name__ == "__main__": 2022-11-23T01:30:35.4333009Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4333131Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4333334Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4333555Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4333742Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4333915Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4334102Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4334288Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4334466Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4334675Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4334829Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4334834Z 2022-11-23T01:30:35.4334838Z 2022-11-23T01:30:35.4334931Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4335003Z import torch 2022-11-23T01:30:35.4335060Z import random 2022-11-23T01:30:35.4335174Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4335297Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4335301Z 2022-11-23T01:30:35.4335379Z aten = torch.ops.aten 2022-11-23T01:30:35.4335511Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4335602Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4335607Z 2022-11-23T01:30:35.4335611Z 2022-11-23T01:30:35.4335698Z async_compile.wait(globals()) 2022-11-23T01:30:35.4335769Z del async_compile 2022-11-23T01:30:35.4335774Z 2022-11-23T01:30:35.4335830Z def call(args): 2022-11-23T01:30:35.4335947Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4336018Z args.clear() 2022-11-23T01:30:35.4336149Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:30:35.4336254Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:30:35.4336324Z del arg0_1 2022-11-23T01:30:35.4336391Z del arg1_1 2022-11-23T01:30:35.4336443Z del arg7_1 2022-11-23T01:30:35.4336514Z return (buf0, ) 2022-11-23T01:30:35.4336521Z 2022-11-23T01:30:35.4336525Z 2022-11-23T01:30:35.4336601Z if __name__ == "__main__": 2022-11-23T01:30:35.4336716Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4336838Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4337040Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4337233Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4337423Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4337596Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4337784Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4337970Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4338146Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4338382Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4338536Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4338541Z 2022-11-23T01:30:35.4338545Z 2022-11-23T01:30:35.4338638Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4338707Z import torch 2022-11-23T01:30:35.4338777Z import random 2022-11-23T01:30:35.4338878Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4338997Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4339002Z 2022-11-23T01:30:35.4339080Z aten = torch.ops.aten 2022-11-23T01:30:35.4339213Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4339333Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4339337Z 2022-11-23T01:30:35.4339341Z 2022-11-23T01:30:35.4339428Z async_compile.wait(globals()) 2022-11-23T01:30:35.4339502Z del async_compile 2022-11-23T01:30:35.4339509Z 2022-11-23T01:30:35.4339579Z def call(args): 2022-11-23T01:30:35.4339682Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4339753Z args.clear() 2022-11-23T01:30:35.4339883Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:30:35.4339988Z assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1)) 2022-11-23T01:30:35.4340056Z del arg0_1 2022-11-23T01:30:35.4340124Z del arg1_1 2022-11-23T01:30:35.4340191Z del arg7_1 2022-11-23T01:30:35.4340248Z return (buf0, ) 2022-11-23T01:30:35.4340252Z 2022-11-23T01:30:35.4340257Z 2022-11-23T01:30:35.4340332Z if __name__ == "__main__": 2022-11-23T01:30:35.4340444Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4340566Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4340770Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4340958Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4341144Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4341326Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4341500Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4341685Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4341861Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4342065Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4342217Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4342224Z 2022-11-23T01:30:35.4342596Z [2022-11-23 01:23:18,304] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py 2022-11-23T01:30:35.4342861Z [2022-11-23 01:23:18,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69 2022-11-23T01:30:35.4343099Z [2022-11-23 01:23:18,308] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4343410Z [2022-11-23 01:23:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4343614Z [2022-11-23 01:23:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4343855Z [2022-11-23 01:23:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4344123Z [2022-11-23 01:23:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4344470Z [2022-11-23 01:23:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4344803Z [2022-11-23 01:23:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4345117Z [2022-11-23 01:23:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4345362Z [2022-11-23 01:23:18,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4345594Z [2022-11-23 01:23:18,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4345843Z [2022-11-23 01:23:18,322] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4346119Z [2022-11-23 01:23:18,337] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4346295Z [2022-11-23 01:23:18,337] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4346428Z __compiled_fn_71 .515 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4346516Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4346614Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4346712Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4346717Z 2022-11-23T01:30:35.4347041Z [2022-11-23 01:23:18,337] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4347133Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4347223Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4347296Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4347390Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4347474Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4347564Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4347642Z 12 RETURN_VALUE 2022-11-23T01:30:35.4347647Z 2022-11-23T01:30:35.4347706Z 2022-11-23T01:30:35.4348029Z [2022-11-23 01:23:18,337] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4348122Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_71) 2022-11-23T01:30:35.4348210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4348298Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4348374Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4348461Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4348548Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4348620Z 12 RETURN_VALUE 2022-11-23T01:30:35.4348628Z 2022-11-23T01:30:35.4348687Z 2022-11-23T01:30:35.4348854Z [2022-11-23 01:23:18,338] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4348925Z - 2022-11-23T01:30:35.4349043Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4349108Z { 2022-11-23T01:30:35.4349245Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4349430Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4349549Z 'obj_weakref': None 2022-11-23T01:30:35.4349761Z 'guarded_class': 2022-11-23T01:30:35.4349824Z } 2022-11-23T01:30:35.4349889Z 2022-11-23T01:30:35.4349958Z - 2022-11-23T01:30:35.4350080Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4350142Z { 2022-11-23T01:30:35.4350283Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4350377Z 'code': None, 2022-11-23T01:30:35.4350590Z 'obj_weakref': 2022-11-23T01:30:35.4350879Z 'guarded_class': 2022-11-23T01:30:35.4350946Z } 2022-11-23T01:30:35.4351008Z 2022-11-23T01:30:35.4351077Z - 2022-11-23T01:30:35.4351197Z local 'model' NN_MODULE 2022-11-23T01:30:35.4351248Z { 2022-11-23T01:30:35.4351382Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4351549Z 'code': ['___check_obj_id(model, 140534429291168)'], 2022-11-23T01:30:35.4351769Z 'obj_weakref': 2022-11-23T01:30:35.4352000Z 'guarded_class': 2022-11-23T01:30:35.4352063Z } 2022-11-23T01:30:35.4352125Z 2022-11-23T01:30:35.4352212Z - 2022-11-23T01:30:35.4352335Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4352400Z { 2022-11-23T01:30:35.4352537Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4352753Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4352870Z 'obj_weakref': None 2022-11-23T01:30:35.4353089Z 'guarded_class': 2022-11-23T01:30:35.4353140Z } 2022-11-23T01:30:35.4353201Z 2022-11-23T01:30:35.4353269Z - 2022-11-23T01:30:35.4353414Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4353475Z { 2022-11-23T01:30:35.4353594Z 'guard_types': None, 2022-11-23T01:30:35.4353698Z 'code': None, 2022-11-23T01:30:35.4353802Z 'obj_weakref': None 2022-11-23T01:30:35.4353923Z 'guarded_class': None 2022-11-23T01:30:35.4353988Z } 2022-11-23T01:30:35.4354050Z 2022-11-23T01:30:35.4354117Z - 2022-11-23T01:30:35.4354260Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4354311Z { 2022-11-23T01:30:35.4354430Z 'guard_types': None, 2022-11-23T01:30:35.4354535Z 'code': None, 2022-11-23T01:30:35.4354649Z 'obj_weakref': None 2022-11-23T01:30:35.4354768Z 'guarded_class': None 2022-11-23T01:30:35.4354830Z } 2022-11-23T01:30:35.4354890Z 2022-11-23T01:30:35.4355133Z [2022-11-23 01:23:18,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70 2022-11-23T01:30:35.4355491Z [2022-11-23 01:23:18,352] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py 2022-11-23T01:30:35.4355750Z [2022-11-23 01:23:18,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70 2022-11-23T01:30:35.4355985Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4356298Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4356515Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4356757Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4357021Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4357328Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4357663Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4357992Z [2022-11-23 01:23:18,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4358242Z [2022-11-23 01:23:18,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4358473Z [2022-11-23 01:23:18,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4358725Z [2022-11-23 01:23:18,370] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4358970Z [2022-11-23 01:23:18,384] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4359157Z [2022-11-23 01:23:18,385] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4359289Z __compiled_fn_72 .526 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4359406Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4359503Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4359591Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4359596Z 2022-11-23T01:30:35.4359920Z [2022-11-23 01:23:18,385] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4360102Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4360194Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4360279Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4360369Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4360454Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4360529Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4360603Z 12 RETURN_VALUE 2022-11-23T01:30:35.4360608Z 2022-11-23T01:30:35.4360668Z 2022-11-23T01:30:35.4361000Z [2022-11-23 01:23:18,385] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4361108Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_72) 2022-11-23T01:30:35.4361197Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4361285Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4361361Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4361435Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4361523Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4361596Z 12 RETURN_VALUE 2022-11-23T01:30:35.4361601Z 2022-11-23T01:30:35.4361664Z 2022-11-23T01:30:35.4361848Z [2022-11-23 01:23:18,386] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4361919Z - 2022-11-23T01:30:35.4362036Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4362087Z { 2022-11-23T01:30:35.4362227Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4362415Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4362535Z 'obj_weakref': None 2022-11-23T01:30:35.4362761Z 'guarded_class': 2022-11-23T01:30:35.4362824Z } 2022-11-23T01:30:35.4362885Z 2022-11-23T01:30:35.4362941Z - 2022-11-23T01:30:35.4363063Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4363126Z { 2022-11-23T01:30:35.4363266Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4363371Z 'code': None, 2022-11-23T01:30:35.4363581Z 'obj_weakref': 2022-11-23T01:30:35.4363832Z 'guarded_class': 2022-11-23T01:30:35.4363882Z } 2022-11-23T01:30:35.4363947Z 2022-11-23T01:30:35.4364015Z - 2022-11-23T01:30:35.4364134Z local 'model' NN_MODULE 2022-11-23T01:30:35.4364197Z { 2022-11-23T01:30:35.4364371Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4364540Z 'code': ['___check_obj_id(model, 140534429287376)'], 2022-11-23T01:30:35.4364852Z 'obj_weakref': 2022-11-23T01:30:35.4365089Z 'guarded_class': 2022-11-23T01:30:35.4365153Z } 2022-11-23T01:30:35.4365216Z 2022-11-23T01:30:35.4365286Z - 2022-11-23T01:30:35.4365406Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4365468Z { 2022-11-23T01:30:35.4365590Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4365808Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4365973Z 'obj_weakref': None 2022-11-23T01:30:35.4366195Z 'guarded_class': 2022-11-23T01:30:35.4366261Z } 2022-11-23T01:30:35.4366323Z 2022-11-23T01:30:35.4366392Z - 2022-11-23T01:30:35.4366523Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4366585Z { 2022-11-23T01:30:35.4366704Z 'guard_types': None, 2022-11-23T01:30:35.4366808Z 'code': None, 2022-11-23T01:30:35.4366926Z 'obj_weakref': None 2022-11-23T01:30:35.4367046Z 'guarded_class': None 2022-11-23T01:30:35.4367108Z } 2022-11-23T01:30:35.4367157Z 2022-11-23T01:30:35.4367225Z - 2022-11-23T01:30:35.4367371Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4367433Z { 2022-11-23T01:30:35.4367550Z 'guard_types': None, 2022-11-23T01:30:35.4367655Z 'code': None, 2022-11-23T01:30:35.4367773Z 'obj_weakref': None 2022-11-23T01:30:35.4367879Z 'guarded_class': None 2022-11-23T01:30:35.4367941Z } 2022-11-23T01:30:35.4368007Z 2022-11-23T01:30:35.4368266Z [2022-11-23 01:23:18,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71 2022-11-23T01:30:35.4368633Z [2022-11-23 01:23:18,399] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py 2022-11-23T01:30:35.4368892Z [2022-11-23 01:23:18,400] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71 2022-11-23T01:30:35.4369126Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4369438Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4369645Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4369889Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4370154Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4370464Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4370800Z [2022-11-23 01:23:18,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4371112Z [2022-11-23 01:23:18,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4371356Z [2022-11-23 01:23:18,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4371589Z [2022-11-23 01:23:18,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4371879Z [2022-11-23 01:23:18,416] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4372129Z [2022-11-23 01:23:18,430] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4372306Z [2022-11-23 01:23:18,431] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4372439Z __compiled_fn_73 .537 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4372527Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4372627Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4372725Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4372731Z 2022-11-23T01:30:35.4373054Z [2022-11-23 01:23:18,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4373175Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4373266Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4373341Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4373433Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4373517Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4373607Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4373681Z 12 RETURN_VALUE 2022-11-23T01:30:35.4373686Z 2022-11-23T01:30:35.4373746Z 2022-11-23T01:30:35.4374067Z [2022-11-23 01:23:18,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4374175Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_73) 2022-11-23T01:30:35.4374251Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4374342Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4374420Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4374507Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4374599Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4374674Z 12 RETURN_VALUE 2022-11-23T01:30:35.4374678Z 2022-11-23T01:30:35.4374738Z 2022-11-23T01:30:35.4374906Z [2022-11-23 01:23:18,432] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4374977Z - 2022-11-23T01:30:35.4375096Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4375161Z { 2022-11-23T01:30:35.4375304Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4375487Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4375607Z 'obj_weakref': None 2022-11-23T01:30:35.4375818Z 'guarded_class': 2022-11-23T01:30:35.4375885Z } 2022-11-23T01:30:35.4375948Z 2022-11-23T01:30:35.4376019Z - 2022-11-23T01:30:35.4376141Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4376205Z { 2022-11-23T01:30:35.4376347Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4376440Z 'code': None, 2022-11-23T01:30:35.4376650Z 'obj_weakref': 2022-11-23T01:30:35.4376900Z 'guarded_class': 2022-11-23T01:30:35.4376963Z } 2022-11-23T01:30:35.4377028Z 2022-11-23T01:30:35.4377097Z - 2022-11-23T01:30:35.4377215Z local 'model' NN_MODULE 2022-11-23T01:30:35.4377266Z { 2022-11-23T01:30:35.4377400Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4377566Z 'code': ['___check_obj_id(model, 140534429291168)'], 2022-11-23T01:30:35.4377789Z 'obj_weakref': 2022-11-23T01:30:35.4378069Z 'guarded_class': 2022-11-23T01:30:35.4378135Z } 2022-11-23T01:30:35.4378198Z 2022-11-23T01:30:35.4378254Z - 2022-11-23T01:30:35.4378376Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4378438Z { 2022-11-23T01:30:35.4378575Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4378789Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4378907Z 'obj_weakref': None 2022-11-23T01:30:35.4379128Z 'guarded_class': 2022-11-23T01:30:35.4379178Z } 2022-11-23T01:30:35.4379240Z 2022-11-23T01:30:35.4379310Z - 2022-11-23T01:30:35.4379454Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4379548Z { 2022-11-23T01:30:35.4379669Z 'guard_types': None, 2022-11-23T01:30:35.4379775Z 'code': None, 2022-11-23T01:30:35.4379880Z 'obj_weakref': None 2022-11-23T01:30:35.4380000Z 'guarded_class': None 2022-11-23T01:30:35.4380064Z } 2022-11-23T01:30:35.4380126Z 2022-11-23T01:30:35.4380195Z - 2022-11-23T01:30:35.4380338Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4380401Z { 2022-11-23T01:30:35.4380506Z 'guard_types': None, 2022-11-23T01:30:35.4380609Z 'code': None, 2022-11-23T01:30:35.4380725Z 'obj_weakref': None 2022-11-23T01:30:35.4380846Z 'guarded_class': None 2022-11-23T01:30:35.4380907Z } 2022-11-23T01:30:35.4380970Z 2022-11-23T01:30:35.4381213Z [2022-11-23 01:23:18,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72 2022-11-23T01:30:35.4381590Z [2022-11-23 01:23:18,445] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py 2022-11-23T01:30:35.4381851Z [2022-11-23 01:23:18,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72 2022-11-23T01:30:35.4382088Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4382402Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4382620Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4382862Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4383128Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4383442Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4383778Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4384077Z [2022-11-23 01:23:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4384321Z [2022-11-23 01:23:18,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4384551Z [2022-11-23 01:23:18,461] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4384803Z [2022-11-23 01:23:18,462] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4385052Z [2022-11-23 01:23:18,476] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4385269Z [2022-11-23 01:23:18,476] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4385403Z __compiled_fn_74 .548 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4385491Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4385590Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4385675Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4385679Z 2022-11-23T01:30:35.4386005Z [2022-11-23 01:23:18,477] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4386097Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4386188Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4386272Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4386362Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4386475Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4386562Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4386628Z 12 RETURN_VALUE 2022-11-23T01:30:35.4386633Z 2022-11-23T01:30:35.4386693Z 2022-11-23T01:30:35.4387017Z [2022-11-23 01:23:18,477] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4387122Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_74) 2022-11-23T01:30:35.4387209Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4387297Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4387373Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4387448Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4387537Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4387609Z 12 RETURN_VALUE 2022-11-23T01:30:35.4387616Z 2022-11-23T01:30:35.4387676Z 2022-11-23T01:30:35.4387856Z [2022-11-23 01:23:18,477] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4387925Z - 2022-11-23T01:30:35.4388045Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4388095Z { 2022-11-23T01:30:35.4388235Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4388419Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4388539Z 'obj_weakref': None 2022-11-23T01:30:35.4388762Z 'guarded_class': 2022-11-23T01:30:35.4388827Z } 2022-11-23T01:30:35.4388890Z 2022-11-23T01:30:35.4388946Z - 2022-11-23T01:30:35.4389068Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4389131Z { 2022-11-23T01:30:35.4389271Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4389376Z 'code': None, 2022-11-23T01:30:35.4389589Z 'obj_weakref': 2022-11-23T01:30:35.4389840Z 'guarded_class': 2022-11-23T01:30:35.4389903Z } 2022-11-23T01:30:35.4389954Z 2022-11-23T01:30:35.4390023Z - 2022-11-23T01:30:35.4390141Z local 'model' NN_MODULE 2022-11-23T01:30:35.4390203Z { 2022-11-23T01:30:35.4390335Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4390502Z 'code': ['___check_obj_id(model, 140534625559520)'], 2022-11-23T01:30:35.4390722Z 'obj_weakref': 2022-11-23T01:30:35.4390943Z 'guarded_class': 2022-11-23T01:30:35.4391006Z } 2022-11-23T01:30:35.4391070Z 2022-11-23T01:30:35.4391142Z - 2022-11-23T01:30:35.4391261Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4391323Z { 2022-11-23T01:30:35.4391445Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4391690Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4391808Z 'obj_weakref': None 2022-11-23T01:30:35.4392029Z 'guarded_class': 2022-11-23T01:30:35.4392094Z } 2022-11-23T01:30:35.4392157Z 2022-11-23T01:30:35.4392225Z - 2022-11-23T01:30:35.4392368Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4392419Z { 2022-11-23T01:30:35.4392536Z 'guard_types': None, 2022-11-23T01:30:35.4392641Z 'code': None, 2022-11-23T01:30:35.4392757Z 'obj_weakref': None 2022-11-23T01:30:35.4392876Z 'guarded_class': None 2022-11-23T01:30:35.4392966Z } 2022-11-23T01:30:35.4393016Z 2022-11-23T01:30:35.4393084Z - 2022-11-23T01:30:35.4393228Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4393292Z { 2022-11-23T01:30:35.4393410Z 'guard_types': None, 2022-11-23T01:30:35.4393514Z 'code': None, 2022-11-23T01:30:35.4393629Z 'obj_weakref': None 2022-11-23T01:30:35.4393736Z 'guarded_class': None 2022-11-23T01:30:35.4393798Z } 2022-11-23T01:30:35.4393860Z 2022-11-23T01:30:35.4394116Z [2022-11-23 01:23:18,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73 2022-11-23T01:30:35.4394485Z [2022-11-23 01:23:18,490] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py 2022-11-23T01:30:35.4394746Z [2022-11-23 01:23:18,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73 2022-11-23T01:30:35.4394982Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4395296Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4395498Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4395738Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4396002Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4396310Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4396644Z [2022-11-23 01:23:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4396959Z [2022-11-23 01:23:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4397204Z [2022-11-23 01:23:18,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4397437Z [2022-11-23 01:23:18,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4397689Z [2022-11-23 01:23:18,507] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4397936Z [2022-11-23 01:23:18,521] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4398111Z [2022-11-23 01:23:18,521] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4398242Z __compiled_fn_75 .559 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4398333Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4398431Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4398529Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4398593Z 2022-11-23T01:30:35.4398921Z [2022-11-23 01:23:18,522] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4399012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4399103Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4399176Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4399266Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4399349Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4399440Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4399516Z 12 RETURN_VALUE 2022-11-23T01:30:35.4399521Z 2022-11-23T01:30:35.4399582Z 2022-11-23T01:30:35.4399904Z [2022-11-23 01:23:18,522] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4400131Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_75) 2022-11-23T01:30:35.4400210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4400298Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4400376Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4400462Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4400552Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4400627Z 12 RETURN_VALUE 2022-11-23T01:30:35.4400633Z 2022-11-23T01:30:35.4400692Z 2022-11-23T01:30:35.4400864Z [2022-11-23 01:23:18,522] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4400934Z - 2022-11-23T01:30:35.4401051Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4401114Z { 2022-11-23T01:30:35.4401253Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4401441Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4401560Z 'obj_weakref': None 2022-11-23T01:30:35.4401774Z 'guarded_class': 2022-11-23T01:30:35.4401841Z } 2022-11-23T01:30:35.4401903Z 2022-11-23T01:30:35.4401973Z - 2022-11-23T01:30:35.4402098Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4402160Z { 2022-11-23T01:30:35.4402303Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4402397Z 'code': None, 2022-11-23T01:30:35.4402608Z 'obj_weakref': 2022-11-23T01:30:35.4402858Z 'guarded_class': 2022-11-23T01:30:35.4402922Z } 2022-11-23T01:30:35.4402984Z 2022-11-23T01:30:35.4403055Z - 2022-11-23T01:30:35.4403172Z local 'model' NN_MODULE 2022-11-23T01:30:35.4403221Z { 2022-11-23T01:30:35.4403357Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4403523Z 'code': ['___check_obj_id(model, 140534625566384)'], 2022-11-23T01:30:35.4403742Z 'obj_weakref': 2022-11-23T01:30:35.4403974Z 'guarded_class': 2022-11-23T01:30:35.4404037Z } 2022-11-23T01:30:35.4404099Z 2022-11-23T01:30:35.4404155Z - 2022-11-23T01:30:35.4404276Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4404338Z { 2022-11-23T01:30:35.4404472Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4404683Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4404931Z 'obj_weakref': None 2022-11-23T01:30:35.4405152Z 'guarded_class': 2022-11-23T01:30:35.4405203Z } 2022-11-23T01:30:35.4405319Z 2022-11-23T01:30:35.4405392Z - 2022-11-23T01:30:35.4405537Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4405600Z { 2022-11-23T01:30:35.4405718Z 'guard_types': None, 2022-11-23T01:30:35.4405823Z 'code': None, 2022-11-23T01:30:35.4405926Z 'obj_weakref': None 2022-11-23T01:30:35.4406047Z 'guarded_class': None 2022-11-23T01:30:35.4406109Z } 2022-11-23T01:30:35.4406171Z 2022-11-23T01:30:35.4406240Z - 2022-11-23T01:30:35.4406383Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4406445Z { 2022-11-23T01:30:35.4406549Z 'guard_types': None, 2022-11-23T01:30:35.4406652Z 'code': None, 2022-11-23T01:30:35.4406808Z 'obj_weakref': None 2022-11-23T01:30:35.4406927Z 'guarded_class': None 2022-11-23T01:30:35.4406989Z } 2022-11-23T01:30:35.4407054Z 2022-11-23T01:30:35.4407312Z [2022-11-23 01:23:18,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74 2022-11-23T01:30:35.4407318Z 2022-11-23T01:30:35.4407399Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4407467Z import torch 2022-11-23T01:30:35.4407535Z import random 2022-11-23T01:30:35.4407648Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4407769Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4407774Z 2022-11-23T01:30:35.4407851Z aten = torch.ops.aten 2022-11-23T01:30:35.4407985Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4408064Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4408069Z 2022-11-23T01:30:35.4408085Z 2022-11-23T01:30:35.4408161Z async_compile.wait(globals()) 2022-11-23T01:30:35.4408233Z del async_compile 2022-11-23T01:30:35.4408238Z 2022-11-23T01:30:35.4408308Z def call(args): 2022-11-23T01:30:35.4408431Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4408502Z args.clear() 2022-11-23T01:30:35.4408632Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:30:35.4408737Z assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1)) 2022-11-23T01:30:35.4408792Z del arg0_1 2022-11-23T01:30:35.4408859Z del arg1_1 2022-11-23T01:30:35.4408923Z del arg7_1 2022-11-23T01:30:35.4408993Z return (buf0, ) 2022-11-23T01:30:35.4408997Z 2022-11-23T01:30:35.4409002Z 2022-11-23T01:30:35.4409075Z if __name__ == "__main__": 2022-11-23T01:30:35.4409187Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4409311Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4409503Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4409699Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4409893Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4410084Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4410274Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4410461Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4410637Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4410845Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4411001Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4411006Z 2022-11-23T01:30:35.4411010Z 2022-11-23T01:30:35.4411094Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4411164Z import torch 2022-11-23T01:30:35.4411235Z import random 2022-11-23T01:30:35.4411353Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4411506Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4411512Z 2022-11-23T01:30:35.4411590Z aten = torch.ops.aten 2022-11-23T01:30:35.4411725Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4411803Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4411820Z 2022-11-23T01:30:35.4411825Z 2022-11-23T01:30:35.4411900Z async_compile.wait(globals()) 2022-11-23T01:30:35.4411972Z del async_compile 2022-11-23T01:30:35.4411976Z 2022-11-23T01:30:35.4412046Z def call(args): 2022-11-23T01:30:35.4412162Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4412235Z args.clear() 2022-11-23T01:30:35.4412364Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:30:35.4412504Z assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1)) 2022-11-23T01:30:35.4412559Z del arg0_1 2022-11-23T01:30:35.4412626Z del arg1_1 2022-11-23T01:30:35.4412694Z del arg7_1 2022-11-23T01:30:35.4412768Z return (buf0, ) 2022-11-23T01:30:35.4412773Z 2022-11-23T01:30:35.4412777Z 2022-11-23T01:30:35.4412853Z if __name__ == "__main__": 2022-11-23T01:30:35.4412966Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4413087Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4413293Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4413470Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4413656Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4413840Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4414026Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4414211Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4414391Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4414601Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4414756Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4414761Z 2022-11-23T01:30:35.4414765Z 2022-11-23T01:30:35.4414858Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4414914Z import torch 2022-11-23T01:30:35.4414983Z import random 2022-11-23T01:30:35.4415098Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4415217Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4415221Z 2022-11-23T01:30:35.4415299Z aten = torch.ops.aten 2022-11-23T01:30:35.4415431Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4415525Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4415530Z 2022-11-23T01:30:35.4415534Z 2022-11-23T01:30:35.4415608Z async_compile.wait(globals()) 2022-11-23T01:30:35.4415682Z del async_compile 2022-11-23T01:30:35.4415687Z 2022-11-23T01:30:35.4415757Z def call(args): 2022-11-23T01:30:35.4415876Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4415947Z args.clear() 2022-11-23T01:30:35.4416075Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:30:35.4416181Z assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1)) 2022-11-23T01:30:35.4416250Z del arg0_1 2022-11-23T01:30:35.4416303Z del arg1_1 2022-11-23T01:30:35.4416367Z del arg7_1 2022-11-23T01:30:35.4416438Z return (buf0, ) 2022-11-23T01:30:35.4416443Z 2022-11-23T01:30:35.4416447Z 2022-11-23T01:30:35.4416524Z if __name__ == "__main__": 2022-11-23T01:30:35.4416635Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4416759Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4416993Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4417175Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4417366Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4417553Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4417745Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4417936Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4418112Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4418319Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4418474Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4418506Z 2022-11-23T01:30:35.4418510Z 2022-11-23T01:30:35.4418606Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4418665Z import torch 2022-11-23T01:30:35.4418735Z import random 2022-11-23T01:30:35.4418849Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4418970Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4418975Z 2022-11-23T01:30:35.4419053Z aten = torch.ops.aten 2022-11-23T01:30:35.4419185Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4419276Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4419281Z 2022-11-23T01:30:35.4419285Z 2022-11-23T01:30:35.4419372Z async_compile.wait(globals()) 2022-11-23T01:30:35.4419431Z del async_compile 2022-11-23T01:30:35.4419436Z 2022-11-23T01:30:35.4419506Z def call(args): 2022-11-23T01:30:35.4419623Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4419698Z args.clear() 2022-11-23T01:30:35.4419827Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:30:35.4419934Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:30:35.4420003Z del arg0_1 2022-11-23T01:30:35.4420057Z del arg1_1 2022-11-23T01:30:35.4420122Z del arg7_1 2022-11-23T01:30:35.4420195Z return (buf0, ) 2022-11-23T01:30:35.4420200Z 2022-11-23T01:30:35.4420204Z 2022-11-23T01:30:35.4420280Z if __name__ == "__main__": 2022-11-23T01:30:35.4420394Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4420515Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4420719Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4420910Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4421083Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4421271Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4421459Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4421639Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4421815Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4422023Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4422180Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4422185Z 2022-11-23T01:30:35.4422189Z 2022-11-23T01:30:35.4422274Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4427347Z import torch 2022-11-23T01:30:35.4427439Z import random 2022-11-23T01:30:35.4427561Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4427686Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4427698Z 2022-11-23T01:30:35.4427777Z aten = torch.ops.aten 2022-11-23T01:30:35.4427914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4428075Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4428081Z 2022-11-23T01:30:35.4428100Z 2022-11-23T01:30:35.4428177Z async_compile.wait(globals()) 2022-11-23T01:30:35.4428248Z del async_compile 2022-11-23T01:30:35.4428253Z 2022-11-23T01:30:35.4428322Z def call(args): 2022-11-23T01:30:35.4428446Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4428519Z args.clear() 2022-11-23T01:30:35.4428653Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:30:35.4428759Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:30:35.4428814Z del arg0_1 2022-11-23T01:30:35.4428880Z del arg1_1 2022-11-23T01:30:35.4428946Z del arg7_1 2022-11-23T01:30:35.4429017Z return (buf0, ) 2022-11-23T01:30:35.4429053Z 2022-11-23T01:30:35.4429058Z 2022-11-23T01:30:35.4429135Z if __name__ == "__main__": 2022-11-23T01:30:35.4429249Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4429376Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4429597Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4429795Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4429988Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4430176Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4430367Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4430558Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4430736Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4430950Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4431099Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4431117Z 2022-11-23T01:30:35.4431470Z [2022-11-23 01:23:18,535] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py 2022-11-23T01:30:35.4431738Z [2022-11-23 01:23:18,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74 2022-11-23T01:30:35.4431978Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4432297Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4432514Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4432762Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4433031Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4433344Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4433682Z [2022-11-23 01:23:18,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4433993Z [2022-11-23 01:23:18,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4434227Z [2022-11-23 01:23:18,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4434462Z [2022-11-23 01:23:18,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4434743Z [2022-11-23 01:23:18,552] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4434994Z [2022-11-23 01:23:18,566] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4435185Z [2022-11-23 01:23:18,566] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4435319Z __compiled_fn_76 .570 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4435409Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4435510Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4435597Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4435615Z 2022-11-23T01:30:35.4435929Z [2022-11-23 01:23:18,566] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4436068Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4436157Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4436247Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4436340Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4436428Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4436516Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4436579Z 12 RETURN_VALUE 2022-11-23T01:30:35.4436585Z 2022-11-23T01:30:35.4436647Z 2022-11-23T01:30:35.4436969Z [2022-11-23 01:23:18,566] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4437076Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_76) 2022-11-23T01:30:35.4437165Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4437254Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4437333Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4437419Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4437496Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4437572Z 12 RETURN_VALUE 2022-11-23T01:30:35.4437577Z 2022-11-23T01:30:35.4437639Z 2022-11-23T01:30:35.4437822Z [2022-11-23 01:23:18,567] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4437894Z - 2022-11-23T01:30:35.4438012Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4438077Z { 2022-11-23T01:30:35.4438203Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4438389Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4438508Z 'obj_weakref': None 2022-11-23T01:30:35.4438734Z 'guarded_class': 2022-11-23T01:30:35.4438800Z } 2022-11-23T01:30:35.4438865Z 2022-11-23T01:30:35.4438937Z - 2022-11-23T01:30:35.4439048Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4439111Z { 2022-11-23T01:30:35.4439255Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4439363Z 'code': None, 2022-11-23T01:30:35.4439573Z 'obj_weakref': 2022-11-23T01:30:35.4439823Z 'guarded_class': 2022-11-23T01:30:35.4439887Z } 2022-11-23T01:30:35.4439937Z 2022-11-23T01:30:35.4440095Z - 2022-11-23T01:30:35.4440220Z local 'model' NN_MODULE 2022-11-23T01:30:35.4440283Z { 2022-11-23T01:30:35.4440421Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4440589Z 'code': ['___check_obj_id(model, 140534625553856)'], 2022-11-23T01:30:35.4440807Z 'obj_weakref': 2022-11-23T01:30:35.4441032Z 'guarded_class': 2022-11-23T01:30:35.4441096Z } 2022-11-23T01:30:35.4441196Z 2022-11-23T01:30:35.4441267Z - 2022-11-23T01:30:35.4441390Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4441453Z { 2022-11-23T01:30:35.4441663Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4441921Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4442040Z 'obj_weakref': None 2022-11-23T01:30:35.4442262Z 'guarded_class': 2022-11-23T01:30:35.4442326Z } 2022-11-23T01:30:35.4442389Z 2022-11-23T01:30:35.4442459Z - 2022-11-23T01:30:35.4442601Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4442650Z { 2022-11-23T01:30:35.4442810Z 'guard_types': None, 2022-11-23T01:30:35.4442916Z 'code': None, 2022-11-23T01:30:35.4443034Z 'obj_weakref': None 2022-11-23T01:30:35.4443182Z 'guarded_class': None 2022-11-23T01:30:35.4443244Z } 2022-11-23T01:30:35.4443310Z 2022-11-23T01:30:35.4443366Z - 2022-11-23T01:30:35.4443508Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4443570Z { 2022-11-23T01:30:35.4443690Z 'guard_types': None, 2022-11-23T01:30:35.4443796Z 'code': None, 2022-11-23T01:30:35.4443912Z 'obj_weakref': None 2022-11-23T01:30:35.4444019Z 'guarded_class': None 2022-11-23T01:30:35.4444083Z } 2022-11-23T01:30:35.4444145Z 2022-11-23T01:30:35.4444404Z [2022-11-23 01:23:18,576] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75 2022-11-23T01:30:35.4444891Z [2022-11-23 01:23:18,580] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py 2022-11-23T01:30:35.4445164Z [2022-11-23 01:23:18,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75 2022-11-23T01:30:35.4445402Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4445715Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4445931Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4446158Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4446425Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4446739Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4447082Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4447393Z [2022-11-23 01:23:18,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4447639Z [2022-11-23 01:23:18,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4447872Z [2022-11-23 01:23:18,596] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4448124Z [2022-11-23 01:23:18,597] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4448375Z [2022-11-23 01:23:18,610] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4448563Z [2022-11-23 01:23:18,611] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4448740Z __compiled_fn_77 .581 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4448833Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4448931Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4449029Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4449034Z 2022-11-23T01:30:35.4449360Z [2022-11-23 01:23:18,611] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4449455Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4449544Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4449630Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4449708Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4449796Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4449923Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4449999Z 12 RETURN_VALUE 2022-11-23T01:30:35.4450004Z 2022-11-23T01:30:35.4450070Z 2022-11-23T01:30:35.4450397Z [2022-11-23 01:23:18,611] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4450501Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_77) 2022-11-23T01:30:35.4450578Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4450667Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4450744Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4450831Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4450920Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4450995Z 12 RETURN_VALUE 2022-11-23T01:30:35.4450999Z 2022-11-23T01:30:35.4451058Z 2022-11-23T01:30:35.4451228Z [2022-11-23 01:23:18,612] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4451300Z - 2022-11-23T01:30:35.4451418Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4451484Z { 2022-11-23T01:30:35.4451627Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4451814Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4451933Z 'obj_weakref': None 2022-11-23T01:30:35.4452158Z 'guarded_class': 2022-11-23T01:30:35.4452209Z } 2022-11-23T01:30:35.4452273Z 2022-11-23T01:30:35.4452342Z - 2022-11-23T01:30:35.4452466Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4452528Z { 2022-11-23T01:30:35.4452670Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4452763Z 'code': None, 2022-11-23T01:30:35.4452971Z 'obj_weakref': 2022-11-23T01:30:35.4453225Z 'guarded_class': 2022-11-23T01:30:35.4453292Z } 2022-11-23T01:30:35.4453355Z 2022-11-23T01:30:35.4453428Z - 2022-11-23T01:30:35.4453546Z local 'model' NN_MODULE 2022-11-23T01:30:35.4453597Z { 2022-11-23T01:30:35.4453730Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4453898Z 'code': ['___check_obj_id(model, 140534625555488)'], 2022-11-23T01:30:35.4454117Z 'obj_weakref': 2022-11-23T01:30:35.4454350Z 'guarded_class': 2022-11-23T01:30:35.4454413Z } 2022-11-23T01:30:35.4454476Z 2022-11-23T01:30:35.4454543Z - 2022-11-23T01:30:35.4454652Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4454720Z { 2022-11-23T01:30:35.4454855Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4455103Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4455222Z 'obj_weakref': None 2022-11-23T01:30:35.4455446Z 'guarded_class': 2022-11-23T01:30:35.4455510Z } 2022-11-23T01:30:35.4455561Z 2022-11-23T01:30:35.4455631Z - 2022-11-23T01:30:35.4455776Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4455839Z { 2022-11-23T01:30:35.4455957Z 'guard_types': None, 2022-11-23T01:30:35.4456063Z 'code': None, 2022-11-23T01:30:35.4456167Z 'obj_weakref': None 2022-11-23T01:30:35.4456287Z 'guarded_class': None 2022-11-23T01:30:35.4456348Z } 2022-11-23T01:30:35.4456410Z 2022-11-23T01:30:35.4456511Z - 2022-11-23T01:30:35.4456656Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4456718Z { 2022-11-23T01:30:35.4456822Z 'guard_types': None, 2022-11-23T01:30:35.4456930Z 'code': None, 2022-11-23T01:30:35.4457048Z 'obj_weakref': None 2022-11-23T01:30:35.4457169Z 'guarded_class': None 2022-11-23T01:30:35.4457233Z } 2022-11-23T01:30:35.4457296Z 2022-11-23T01:30:35.4457560Z [2022-11-23 01:23:18,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76 2022-11-23T01:30:35.4457913Z [2022-11-23 01:23:18,626] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py 2022-11-23T01:30:35.4458174Z [2022-11-23 01:23:18,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76 2022-11-23T01:30:35.4458408Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4458729Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4458944Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4459184Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4459453Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4459763Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4460100Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4460412Z [2022-11-23 01:23:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4460648Z [2022-11-23 01:23:18,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4460880Z [2022-11-23 01:23:18,642] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4461130Z [2022-11-23 01:23:18,643] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4461376Z [2022-11-23 01:23:18,657] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4461562Z [2022-11-23 01:23:18,657] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4461695Z __compiled_fn_78 .592 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4461786Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4461886Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4461975Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4461992Z 2022-11-23T01:30:35.4462338Z [2022-11-23 01:23:18,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4462441Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4462530Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4462616Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4462709Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4462793Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4462882Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4462947Z 12 RETURN_VALUE 2022-11-23T01:30:35.4462964Z 2022-11-23T01:30:35.4463013Z 2022-11-23T01:30:35.4463338Z [2022-11-23 01:23:18,657] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4463475Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_78) 2022-11-23T01:30:35.4463568Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4463657Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4463733Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4463821Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4463897Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4463974Z 12 RETURN_VALUE 2022-11-23T01:30:35.4463979Z 2022-11-23T01:30:35.4464041Z 2022-11-23T01:30:35.4464222Z [2022-11-23 01:23:18,658] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4464293Z - 2022-11-23T01:30:35.4464412Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4464475Z { 2022-11-23T01:30:35.4464601Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4464787Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4464909Z 'obj_weakref': None 2022-11-23T01:30:35.4465136Z 'guarded_class': 2022-11-23T01:30:35.4465201Z } 2022-11-23T01:30:35.4465263Z 2022-11-23T01:30:35.4465334Z - 2022-11-23T01:30:35.4465443Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4465508Z { 2022-11-23T01:30:35.4465649Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4465754Z 'code': None, 2022-11-23T01:30:35.4465964Z 'obj_weakref': 2022-11-23T01:30:35.4466215Z 'guarded_class': 2022-11-23T01:30:35.4466278Z } 2022-11-23T01:30:35.4466327Z 2022-11-23T01:30:35.4466396Z - 2022-11-23T01:30:35.4466518Z local 'model' NN_MODULE 2022-11-23T01:30:35.4466582Z { 2022-11-23T01:30:35.4466716Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4466885Z 'code': ['___check_obj_id(model, 140534658423472)'], 2022-11-23T01:30:35.4467101Z 'obj_weakref': 2022-11-23T01:30:35.4467318Z 'guarded_class': 2022-11-23T01:30:35.4467381Z } 2022-11-23T01:30:35.4467444Z 2022-11-23T01:30:35.4467514Z - 2022-11-23T01:30:35.4467636Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4467699Z { 2022-11-23T01:30:35.4467834Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4468034Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4468153Z 'obj_weakref': None 2022-11-23T01:30:35.4468374Z 'guarded_class': 2022-11-23T01:30:35.4468439Z } 2022-11-23T01:30:35.4468501Z 2022-11-23T01:30:35.4468570Z - 2022-11-23T01:30:35.4468745Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4468796Z { 2022-11-23T01:30:35.4468915Z 'guard_types': None, 2022-11-23T01:30:35.4469022Z 'code': None, 2022-11-23T01:30:35.4469138Z 'obj_weakref': None 2022-11-23T01:30:35.4469258Z 'guarded_class': None 2022-11-23T01:30:35.4469321Z } 2022-11-23T01:30:35.4469383Z 2022-11-23T01:30:35.4469439Z - 2022-11-23T01:30:35.4469585Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4469651Z { 2022-11-23T01:30:35.4469770Z 'guard_types': None, 2022-11-23T01:30:35.4469874Z 'code': None, 2022-11-23T01:30:35.4469991Z 'obj_weakref': None 2022-11-23T01:30:35.4470155Z 'guarded_class': None 2022-11-23T01:30:35.4470206Z } 2022-11-23T01:30:35.4470269Z 2022-11-23T01:30:35.4470529Z [2022-11-23 01:23:18,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77 2022-11-23T01:30:35.4470901Z [2022-11-23 01:23:18,671] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py 2022-11-23T01:30:35.4471163Z [2022-11-23 01:23:18,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77 2022-11-23T01:30:35.4471400Z [2022-11-23 01:23:18,675] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4471711Z [2022-11-23 01:23:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4471927Z [2022-11-23 01:23:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4472161Z [2022-11-23 01:23:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4472430Z [2022-11-23 01:23:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4472740Z [2022-11-23 01:23:18,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4473073Z [2022-11-23 01:23:18,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4473385Z [2022-11-23 01:23:18,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4473633Z [2022-11-23 01:23:18,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4473866Z [2022-11-23 01:23:18,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4474123Z [2022-11-23 01:23:18,688] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4474371Z [2022-11-23 01:23:18,702] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4474557Z [2022-11-23 01:23:18,702] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4474677Z __compiled_fn_79 .603 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4474765Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4474863Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4474962Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4474972Z 2022-11-23T01:30:35.4475297Z [2022-11-23 01:23:18,703] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4475391Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4475482Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4475569Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4475678Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4475766Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4475854Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4475931Z 12 RETURN_VALUE 2022-11-23T01:30:35.4475936Z 2022-11-23T01:30:35.4475994Z 2022-11-23T01:30:35.4476320Z [2022-11-23 01:23:18,703] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4476427Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_79) 2022-11-23T01:30:35.4476503Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4476592Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4476669Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4476788Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4476877Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4476953Z 12 RETURN_VALUE 2022-11-23T01:30:35.4476958Z 2022-11-23T01:30:35.4477019Z 2022-11-23T01:30:35.4477201Z [2022-11-23 01:23:18,703] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4477258Z - 2022-11-23T01:30:35.4477378Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4477442Z { 2022-11-23T01:30:35.4477582Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4477767Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4477887Z 'obj_weakref': None 2022-11-23T01:30:35.4478112Z 'guarded_class': 2022-11-23T01:30:35.4478163Z } 2022-11-23T01:30:35.4478225Z 2022-11-23T01:30:35.4478295Z - 2022-11-23T01:30:35.4478421Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4478484Z { 2022-11-23T01:30:35.4478624Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4478719Z 'code': None, 2022-11-23T01:30:35.4478930Z 'obj_weakref': 2022-11-23T01:30:35.4479182Z 'guarded_class': 2022-11-23T01:30:35.4479247Z } 2022-11-23T01:30:35.4479310Z 2022-11-23T01:30:35.4479380Z - 2022-11-23T01:30:35.4479498Z local 'model' NN_MODULE 2022-11-23T01:30:35.4479560Z { 2022-11-23T01:30:35.4479681Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4479849Z 'code': ['___check_obj_id(model, 140534626630096)'], 2022-11-23T01:30:35.4480160Z 'obj_weakref': 2022-11-23T01:30:35.4480403Z 'guarded_class': 2022-11-23T01:30:35.4480466Z } 2022-11-23T01:30:35.4480534Z 2022-11-23T01:30:35.4480605Z - 2022-11-23T01:30:35.4480714Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4480779Z { 2022-11-23T01:30:35.4480914Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4481129Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4481248Z 'obj_weakref': None 2022-11-23T01:30:35.4481473Z 'guarded_class': 2022-11-23T01:30:35.4481536Z } 2022-11-23T01:30:35.4481584Z 2022-11-23T01:30:35.4481654Z - 2022-11-23T01:30:35.4481800Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4481865Z { 2022-11-23T01:30:35.4481988Z 'guard_types': None, 2022-11-23T01:30:35.4482093Z 'code': None, 2022-11-23T01:30:35.4482211Z 'obj_weakref': None 2022-11-23T01:30:35.4482366Z 'guarded_class': None 2022-11-23T01:30:35.4482430Z } 2022-11-23T01:30:35.4482492Z 2022-11-23T01:30:35.4482561Z - 2022-11-23T01:30:35.4482704Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4482766Z { 2022-11-23T01:30:35.4482870Z 'guard_types': None, 2022-11-23T01:30:35.4482973Z 'code': None, 2022-11-23T01:30:35.4483089Z 'obj_weakref': None 2022-11-23T01:30:35.4483211Z 'guarded_class': None 2022-11-23T01:30:35.4483273Z } 2022-11-23T01:30:35.4483335Z 2022-11-23T01:30:35.4483592Z [2022-11-23 01:23:18,712] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78 2022-11-23T01:30:35.4483940Z [2022-11-23 01:23:18,717] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py 2022-11-23T01:30:35.4484242Z [2022-11-23 01:23:18,717] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78 2022-11-23T01:30:35.4484485Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4484914Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4485135Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4485378Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4485646Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4485959Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4486300Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4486612Z [2022-11-23 01:23:18,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4486844Z [2022-11-23 01:23:18,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4487077Z [2022-11-23 01:23:18,733] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4487332Z [2022-11-23 01:23:18,734] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4487577Z [2022-11-23 01:23:18,748] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4487768Z [2022-11-23 01:23:18,748] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4487903Z __compiled_fn_80 .614 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4487993Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4488091Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4488191Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4488200Z 2022-11-23T01:30:35.4488510Z [2022-11-23 01:23:18,748] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4488603Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4488691Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4488776Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4488869Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4488954Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4489045Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4489109Z 12 RETURN_VALUE 2022-11-23T01:30:35.4489126Z 2022-11-23T01:30:35.4489174Z 2022-11-23T01:30:35.4489555Z [2022-11-23 01:23:18,749] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4489667Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_80) 2022-11-23T01:30:35.4489758Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4489846Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4489923Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4490013Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4490088Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4490161Z 12 RETURN_VALUE 2022-11-23T01:30:35.4490166Z 2022-11-23T01:30:35.4490226Z 2022-11-23T01:30:35.4490411Z [2022-11-23 01:23:18,749] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4490520Z - 2022-11-23T01:30:35.4490638Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4490701Z { 2022-11-23T01:30:35.4490843Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4491030Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4491150Z 'obj_weakref': None 2022-11-23T01:30:35.4491375Z 'guarded_class': 2022-11-23T01:30:35.4491440Z } 2022-11-23T01:30:35.4491503Z 2022-11-23T01:30:35.4491573Z - 2022-11-23T01:30:35.4491687Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4491749Z { 2022-11-23T01:30:35.4491891Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4491997Z 'code': None, 2022-11-23T01:30:35.4492207Z 'obj_weakref': 2022-11-23T01:30:35.4492458Z 'guarded_class': 2022-11-23T01:30:35.4492521Z } 2022-11-23T01:30:35.4492575Z 2022-11-23T01:30:35.4492645Z - 2022-11-23T01:30:35.4492764Z local 'model' NN_MODULE 2022-11-23T01:30:35.4492826Z { 2022-11-23T01:30:35.4492960Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4493129Z 'code': ['___check_obj_id(model, 140537192226032)'], 2022-11-23T01:30:35.4493346Z 'obj_weakref': 2022-11-23T01:30:35.4493570Z 'guarded_class': 2022-11-23T01:30:35.4493634Z } 2022-11-23T01:30:35.4493696Z 2022-11-23T01:30:35.4493766Z - 2022-11-23T01:30:35.4493886Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4493949Z { 2022-11-23T01:30:35.4494087Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4494293Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4494411Z 'obj_weakref': None 2022-11-23T01:30:35.4494632Z 'guarded_class': 2022-11-23T01:30:35.4494695Z } 2022-11-23T01:30:35.4494758Z 2022-11-23T01:30:35.4494831Z - 2022-11-23T01:30:35.4494975Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4495025Z { 2022-11-23T01:30:35.4495145Z 'guard_types': None, 2022-11-23T01:30:35.4495250Z 'code': None, 2022-11-23T01:30:35.4495365Z 'obj_weakref': None 2022-11-23T01:30:35.4495487Z 'guarded_class': None 2022-11-23T01:30:35.4495549Z } 2022-11-23T01:30:35.4495614Z 2022-11-23T01:30:35.4495670Z - 2022-11-23T01:30:35.4495817Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4495880Z { 2022-11-23T01:30:35.4495999Z 'guard_types': None, 2022-11-23T01:30:35.4496137Z 'code': None, 2022-11-23T01:30:35.4496257Z 'obj_weakref': None 2022-11-23T01:30:35.4496376Z 'guarded_class': None 2022-11-23T01:30:35.4496427Z } 2022-11-23T01:30:35.4496488Z 2022-11-23T01:30:35.4496747Z [2022-11-23 01:23:18,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79 2022-11-23T01:30:35.4496752Z 2022-11-23T01:30:35.4496845Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4496913Z import torch 2022-11-23T01:30:35.4496980Z import random 2022-11-23T01:30:35.4497098Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4497207Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4497212Z 2022-11-23T01:30:35.4497288Z aten = torch.ops.aten 2022-11-23T01:30:35.4497453Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4497545Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4497549Z 2022-11-23T01:30:35.4497556Z 2022-11-23T01:30:35.4497646Z async_compile.wait(globals()) 2022-11-23T01:30:35.4497717Z del async_compile 2022-11-23T01:30:35.4497722Z 2022-11-23T01:30:35.4497791Z def call(args): 2022-11-23T01:30:35.4497909Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4497967Z args.clear() 2022-11-23T01:30:35.4498095Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:30:35.4498202Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:30:35.4498268Z del arg0_1 2022-11-23T01:30:35.4498336Z del arg1_1 2022-11-23T01:30:35.4498401Z del arg7_1 2022-11-23T01:30:35.4498471Z return (buf0, ) 2022-11-23T01:30:35.4498475Z 2022-11-23T01:30:35.4498479Z 2022-11-23T01:30:35.4498541Z if __name__ == "__main__": 2022-11-23T01:30:35.4498656Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4498778Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4498987Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4499180Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4499371Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4499559Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4499746Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4499917Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4500096Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4500300Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4500458Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4500464Z 2022-11-23T01:30:35.4500468Z 2022-11-23T01:30:35.4500564Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4500635Z import torch 2022-11-23T01:30:35.4500705Z import random 2022-11-23T01:30:35.4500820Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4500926Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4500943Z 2022-11-23T01:30:35.4501007Z aten = torch.ops.aten 2022-11-23T01:30:35.4501139Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4501231Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4501236Z 2022-11-23T01:30:35.4501240Z 2022-11-23T01:30:35.4501326Z async_compile.wait(globals()) 2022-11-23T01:30:35.4501399Z del async_compile 2022-11-23T01:30:35.4501404Z 2022-11-23T01:30:35.4501473Z def call(args): 2022-11-23T01:30:35.4501587Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4501648Z args.clear() 2022-11-23T01:30:35.4501810Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:30:35.4501920Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:30:35.4501990Z del arg0_1 2022-11-23T01:30:35.4502055Z del arg1_1 2022-11-23T01:30:35.4502120Z del arg7_1 2022-11-23T01:30:35.4502191Z return (buf0, ) 2022-11-23T01:30:35.4502196Z 2022-11-23T01:30:35.4502199Z 2022-11-23T01:30:35.4502275Z if __name__ == "__main__": 2022-11-23T01:30:35.4502375Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4502495Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4502701Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4502894Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4503120Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4503307Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4503495Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4503679Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4503842Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4504051Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4504205Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4504210Z 2022-11-23T01:30:35.4504213Z 2022-11-23T01:30:35.4504307Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4504376Z import torch 2022-11-23T01:30:35.4504446Z import random 2022-11-23T01:30:35.4504560Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4504682Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4504687Z 2022-11-23T01:30:35.4504751Z aten = torch.ops.aten 2022-11-23T01:30:35.4504885Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4504976Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4504981Z 2022-11-23T01:30:35.4504985Z 2022-11-23T01:30:35.4505073Z async_compile.wait(globals()) 2022-11-23T01:30:35.4505144Z del async_compile 2022-11-23T01:30:35.4505149Z 2022-11-23T01:30:35.4505221Z def call(args): 2022-11-23T01:30:35.4505336Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4505406Z args.clear() 2022-11-23T01:30:35.4505523Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:30:35.4505627Z assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1)) 2022-11-23T01:30:35.4505695Z del arg0_1 2022-11-23T01:30:35.4505762Z del arg1_1 2022-11-23T01:30:35.4505830Z del arg7_1 2022-11-23T01:30:35.4505902Z return (buf0, ) 2022-11-23T01:30:35.4505906Z 2022-11-23T01:30:35.4505910Z 2022-11-23T01:30:35.4505985Z if __name__ == "__main__": 2022-11-23T01:30:35.4506085Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4506206Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4506410Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4506602Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4506793Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4506977Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4507164Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4507350Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4507516Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4507721Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4507909Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4507916Z 2022-11-23T01:30:35.4507920Z 2022-11-23T01:30:35.4508014Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4508086Z import torch 2022-11-23T01:30:35.4508156Z import random 2022-11-23T01:30:35.4508272Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4508394Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4508400Z 2022-11-23T01:30:35.4508466Z aten = torch.ops.aten 2022-11-23T01:30:35.4508599Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4508689Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4508694Z 2022-11-23T01:30:35.4508698Z 2022-11-23T01:30:35.4508784Z async_compile.wait(globals()) 2022-11-23T01:30:35.4508885Z del async_compile 2022-11-23T01:30:35.4508890Z 2022-11-23T01:30:35.4508959Z def call(args): 2022-11-23T01:30:35.4509077Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4509147Z args.clear() 2022-11-23T01:30:35.4509264Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:30:35.4509370Z assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1)) 2022-11-23T01:30:35.4509437Z del arg0_1 2022-11-23T01:30:35.4509503Z del arg1_1 2022-11-23T01:30:35.4509568Z del arg7_1 2022-11-23T01:30:35.4509641Z return (buf0, ) 2022-11-23T01:30:35.4509645Z 2022-11-23T01:30:35.4509649Z 2022-11-23T01:30:35.4509722Z if __name__ == "__main__": 2022-11-23T01:30:35.4509823Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4509944Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4510150Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4510343Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4510536Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4510722Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4510911Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4511094Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4511256Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4511463Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4511618Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4511623Z 2022-11-23T01:30:35.4511627Z 2022-11-23T01:30:35.4511723Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4511798Z import torch 2022-11-23T01:30:35.4511868Z import random 2022-11-23T01:30:35.4511981Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4512102Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4512107Z 2022-11-23T01:30:35.4512171Z aten = torch.ops.aten 2022-11-23T01:30:35.4512303Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4512393Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4512398Z 2022-11-23T01:30:35.4512402Z 2022-11-23T01:30:35.4512494Z async_compile.wait(globals()) 2022-11-23T01:30:35.4512566Z del async_compile 2022-11-23T01:30:35.4512570Z 2022-11-23T01:30:35.4512643Z def call(args): 2022-11-23T01:30:35.4512758Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4512829Z args.clear() 2022-11-23T01:30:35.4512944Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:30:35.4513050Z assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1)) 2022-11-23T01:30:35.4513118Z del arg0_1 2022-11-23T01:30:35.4513184Z del arg1_1 2022-11-23T01:30:35.4513247Z del arg7_1 2022-11-23T01:30:35.4513355Z return (buf0, ) 2022-11-23T01:30:35.4513360Z 2022-11-23T01:30:35.4513364Z 2022-11-23T01:30:35.4513439Z if __name__ == "__main__": 2022-11-23T01:30:35.4513552Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4513659Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4513864Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4514055Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4514243Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4514430Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4514619Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4514852Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4515029Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4515221Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4515376Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4515380Z 2022-11-23T01:30:35.4515751Z [2022-11-23 01:23:18,763] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py 2022-11-23T01:30:35.4516015Z [2022-11-23 01:23:18,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79 2022-11-23T01:30:35.4516251Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4516565Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4516786Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4517028Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4517297Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4517596Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4517932Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4518244Z [2022-11-23 01:23:18,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4518489Z [2022-11-23 01:23:18,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4518724Z [2022-11-23 01:23:18,783] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4518974Z [2022-11-23 01:23:18,784] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4519217Z [2022-11-23 01:23:18,812] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4519405Z [2022-11-23 01:23:18,812] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4519537Z __compiled_fn_81 .625 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4519626Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4519712Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4519809Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4519817Z 2022-11-23T01:30:35.4520295Z [2022-11-23 01:23:18,813] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4520393Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4520485Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4520572Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4520664Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4520736Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4520825Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4520901Z 12 RETURN_VALUE 2022-11-23T01:30:35.4520906Z 2022-11-23T01:30:35.4520967Z 2022-11-23T01:30:35.4521302Z [2022-11-23 01:23:18,813] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4521411Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_81) 2022-11-23T01:30:35.4521574Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4521669Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4521748Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4521835Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4521911Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4521985Z 12 RETURN_VALUE 2022-11-23T01:30:35.4521990Z 2022-11-23T01:30:35.4522050Z 2022-11-23T01:30:35.4522233Z [2022-11-23 01:23:18,814] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4522303Z - 2022-11-23T01:30:35.4522424Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4522488Z { 2022-11-23T01:30:35.4522615Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4522798Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4522918Z 'obj_weakref': None 2022-11-23T01:30:35.4523147Z 'guarded_class': 2022-11-23T01:30:35.4523212Z } 2022-11-23T01:30:35.4523274Z 2022-11-23T01:30:35.4523344Z - 2022-11-23T01:30:35.4523456Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4523517Z { 2022-11-23T01:30:35.4523659Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4523763Z 'code': None, 2022-11-23T01:30:35.4523972Z 'obj_weakref': 2022-11-23T01:30:35.4524222Z 'guarded_class': 2022-11-23T01:30:35.4524286Z } 2022-11-23T01:30:35.4524336Z 2022-11-23T01:30:35.4524404Z - 2022-11-23T01:30:35.4524523Z local 'model' NN_MODULE 2022-11-23T01:30:35.4524584Z { 2022-11-23T01:30:35.4524716Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4525004Z 'code': ['___check_obj_id(model, 140534625566144)'], 2022-11-23T01:30:35.4525225Z 'obj_weakref': 2022-11-23T01:30:35.4525448Z 'guarded_class': 2022-11-23T01:30:35.4525511Z } 2022-11-23T01:30:35.4525573Z 2022-11-23T01:30:35.4525642Z - 2022-11-23T01:30:35.4525765Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4525826Z { 2022-11-23T01:30:35.4525963Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4526166Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4526282Z 'obj_weakref': None 2022-11-23T01:30:35.4526504Z 'guarded_class': 2022-11-23T01:30:35.4526569Z } 2022-11-23T01:30:35.4526633Z 2022-11-23T01:30:35.4526701Z - 2022-11-23T01:30:35.4526845Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4526949Z { 2022-11-23T01:30:35.4527070Z 'guard_types': None, 2022-11-23T01:30:35.4527175Z 'code': None, 2022-11-23T01:30:35.4527291Z 'obj_weakref': None 2022-11-23T01:30:35.4527411Z 'guarded_class': None 2022-11-23T01:30:35.4527473Z } 2022-11-23T01:30:35.4527534Z 2022-11-23T01:30:35.4527590Z - 2022-11-23T01:30:35.4527733Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4527796Z { 2022-11-23T01:30:35.4527913Z 'guard_types': None, 2022-11-23T01:30:35.4528019Z 'code': None, 2022-11-23T01:30:35.4528135Z 'obj_weakref': None 2022-11-23T01:30:35.4528241Z 'guarded_class': None 2022-11-23T01:30:35.4528303Z } 2022-11-23T01:30:35.4528399Z 2022-11-23T01:30:35.4528657Z [2022-11-23 01:23:18,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80 2022-11-23T01:30:35.4529024Z [2022-11-23 01:23:18,838] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py 2022-11-23T01:30:35.4529286Z [2022-11-23 01:23:18,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80 2022-11-23T01:30:35.4529521Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4529832Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4530048Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4530277Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4530550Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4530862Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4531197Z [2022-11-23 01:23:18,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4531506Z [2022-11-23 01:23:18,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4531751Z [2022-11-23 01:23:18,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4531983Z [2022-11-23 01:23:18,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4532239Z [2022-11-23 01:23:18,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4532489Z [2022-11-23 01:23:18,893] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4532675Z [2022-11-23 01:23:18,893] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4532793Z __compiled_fn_82 .636 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4532883Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4532979Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4533076Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4533081Z 2022-11-23T01:30:35.4533406Z [2022-11-23 01:23:18,894] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4533499Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4533588Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4533664Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4533756Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4533873Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4533969Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4534045Z 12 RETURN_VALUE 2022-11-23T01:30:35.4534050Z 2022-11-23T01:30:35.4534110Z 2022-11-23T01:30:35.4534434Z [2022-11-23 01:23:18,894] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4534541Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_82) 2022-11-23T01:30:35.4534617Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4534706Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4534783Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4534871Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4534991Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4535064Z 12 RETURN_VALUE 2022-11-23T01:30:35.4535068Z 2022-11-23T01:30:35.4535129Z 2022-11-23T01:30:35.4535298Z [2022-11-23 01:23:18,895] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4535369Z - 2022-11-23T01:30:35.4535486Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4535550Z { 2022-11-23T01:30:35.4535690Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4535874Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4535993Z 'obj_weakref': None 2022-11-23T01:30:35.4536204Z 'guarded_class': 2022-11-23T01:30:35.4536267Z } 2022-11-23T01:30:35.4536329Z 2022-11-23T01:30:35.4536401Z - 2022-11-23T01:30:35.4536526Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4536589Z { 2022-11-23T01:30:35.4536732Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4536824Z 'code': None, 2022-11-23T01:30:35.4537039Z 'obj_weakref': 2022-11-23T01:30:35.4537289Z 'guarded_class': 2022-11-23T01:30:35.4537352Z } 2022-11-23T01:30:35.4537415Z 2022-11-23T01:30:35.4537484Z - 2022-11-23T01:30:35.4537602Z local 'model' NN_MODULE 2022-11-23T01:30:35.4537651Z { 2022-11-23T01:30:35.4537783Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4537951Z 'code': ['___check_obj_id(model, 140534625566144)'], 2022-11-23T01:30:35.4538170Z 'obj_weakref': 2022-11-23T01:30:35.4538404Z 'guarded_class': 2022-11-23T01:30:35.4538469Z } 2022-11-23T01:30:35.4538531Z 2022-11-23T01:30:35.4538588Z - 2022-11-23T01:30:35.4538711Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4538773Z { 2022-11-23T01:30:35.4538907Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4539123Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4539239Z 'obj_weakref': None 2022-11-23T01:30:35.4539460Z 'guarded_class': 2022-11-23T01:30:35.4539522Z } 2022-11-23T01:30:35.4539572Z 2022-11-23T01:30:35.4539640Z - 2022-11-23T01:30:35.4539784Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4539847Z { 2022-11-23T01:30:35.4539965Z 'guard_types': None, 2022-11-23T01:30:35.4540070Z 'code': None, 2022-11-23T01:30:35.4540176Z 'obj_weakref': None 2022-11-23T01:30:35.4540296Z 'guarded_class': None 2022-11-23T01:30:35.4540358Z } 2022-11-23T01:30:35.4540449Z 2022-11-23T01:30:35.4540524Z - 2022-11-23T01:30:35.4540668Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4540733Z { 2022-11-23T01:30:35.4540836Z 'guard_types': None, 2022-11-23T01:30:35.4540941Z 'code': None, 2022-11-23T01:30:35.4541057Z 'obj_weakref': None 2022-11-23T01:30:35.4541178Z 'guarded_class': None 2022-11-23T01:30:35.4541242Z } 2022-11-23T01:30:35.4541305Z 2022-11-23T01:30:35.4541561Z [2022-11-23 01:23:18,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81 2022-11-23T01:30:35.4541918Z [2022-11-23 01:23:18,909] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py 2022-11-23T01:30:35.4542243Z [2022-11-23 01:23:18,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81 2022-11-23T01:30:35.4542479Z [2022-11-23 01:23:18,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4542794Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4543009Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4543252Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4543520Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4543830Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4544170Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4544483Z [2022-11-23 01:23:18,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4544715Z [2022-11-23 01:23:18,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4544947Z [2022-11-23 01:23:18,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4545199Z [2022-11-23 01:23:18,934] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4545448Z [2022-11-23 01:23:18,951] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4545635Z [2022-11-23 01:23:18,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4545770Z __compiled_fn_83 .647 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4545860Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4545960Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4546045Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4546063Z 2022-11-23T01:30:35.4546376Z [2022-11-23 01:23:18,952] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4546470Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4546560Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4546646Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4546739Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4546822Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4546909Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4546974Z 12 RETURN_VALUE 2022-11-23T01:30:35.4546980Z 2022-11-23T01:30:35.4547042Z 2022-11-23T01:30:35.4547393Z [2022-11-23 01:23:18,952] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4547503Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_83) 2022-11-23T01:30:35.4547590Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4547678Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4547752Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4547839Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4547914Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4547987Z 12 RETURN_VALUE 2022-11-23T01:30:35.4547991Z 2022-11-23T01:30:35.4548051Z 2022-11-23T01:30:35.4548234Z [2022-11-23 01:23:18,953] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4548303Z - 2022-11-23T01:30:35.4548421Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4548519Z { 2022-11-23T01:30:35.4548646Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4548832Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4548951Z 'obj_weakref': None 2022-11-23T01:30:35.4549180Z 'guarded_class': 2022-11-23T01:30:35.4549243Z } 2022-11-23T01:30:35.4549305Z 2022-11-23T01:30:35.4549373Z - 2022-11-23T01:30:35.4549482Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4549544Z { 2022-11-23T01:30:35.4549685Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4549790Z 'code': None, 2022-11-23T01:30:35.4550002Z 'obj_weakref': 2022-11-23T01:30:35.4550251Z 'guarded_class': 2022-11-23T01:30:35.4550316Z } 2022-11-23T01:30:35.4550367Z 2022-11-23T01:30:35.4550436Z - 2022-11-23T01:30:35.4550556Z local 'model' NN_MODULE 2022-11-23T01:30:35.4550621Z { 2022-11-23T01:30:35.4550753Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4550921Z 'code': ['___check_obj_id(model, 140534658512688)'], 2022-11-23T01:30:35.4551137Z 'obj_weakref': 2022-11-23T01:30:35.4551356Z 'guarded_class': 2022-11-23T01:30:35.4551421Z } 2022-11-23T01:30:35.4551482Z 2022-11-23T01:30:35.4551550Z - 2022-11-23T01:30:35.4551669Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4551732Z { 2022-11-23T01:30:35.4551866Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4552069Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4552186Z 'obj_weakref': None 2022-11-23T01:30:35.4552410Z 'guarded_class': 2022-11-23T01:30:35.4552473Z } 2022-11-23T01:30:35.4552535Z 2022-11-23T01:30:35.4552602Z - 2022-11-23T01:30:35.4552744Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4552793Z { 2022-11-23T01:30:35.4552910Z 'guard_types': None, 2022-11-23T01:30:35.4553014Z 'code': None, 2022-11-23T01:30:35.4553132Z 'obj_weakref': None 2022-11-23T01:30:35.4553251Z 'guarded_class': None 2022-11-23T01:30:35.4553313Z } 2022-11-23T01:30:35.4553375Z 2022-11-23T01:30:35.4553431Z - 2022-11-23T01:30:35.4553573Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4553641Z { 2022-11-23T01:30:35.4553759Z 'guard_types': None, 2022-11-23T01:30:35.4553862Z 'code': None, 2022-11-23T01:30:35.4553979Z 'obj_weakref': None 2022-11-23T01:30:35.4554117Z 'guarded_class': None 2022-11-23T01:30:35.4554180Z } 2022-11-23T01:30:35.4554241Z 2022-11-23T01:30:35.4554500Z [2022-11-23 01:23:18,962] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82 2022-11-23T01:30:35.4554870Z [2022-11-23 01:23:18,968] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py 2022-11-23T01:30:35.4555130Z [2022-11-23 01:23:18,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82 2022-11-23T01:30:35.4555366Z [2022-11-23 01:23:19,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4555675Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4555925Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4556154Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4556419Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4556728Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4557061Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4557370Z [2022-11-23 01:23:19,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4557618Z [2022-11-23 01:23:19,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4557852Z [2022-11-23 01:23:19,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4558102Z [2022-11-23 01:23:19,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4558346Z [2022-11-23 01:23:19,035] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4558531Z [2022-11-23 01:23:19,035] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4558651Z __compiled_fn_84 .658 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4558739Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4558835Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4558933Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4558940Z 2022-11-23T01:30:35.4559261Z [2022-11-23 01:23:19,036] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4559354Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4559443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4559528Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4559606Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4559688Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4559774Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4559849Z 12 RETURN_VALUE 2022-11-23T01:30:35.4559853Z 2022-11-23T01:30:35.4559912Z 2022-11-23T01:30:35.4560328Z [2022-11-23 01:23:19,036] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4560435Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_84) 2022-11-23T01:30:35.4560513Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4560602Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4560720Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4560809Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4560898Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4560972Z 12 RETURN_VALUE 2022-11-23T01:30:35.4560977Z 2022-11-23T01:30:35.4561037Z 2022-11-23T01:30:35.4561223Z [2022-11-23 01:23:19,036] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4561280Z - 2022-11-23T01:30:35.4561398Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4561461Z { 2022-11-23T01:30:35.4561600Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4561785Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4561902Z 'obj_weakref': None 2022-11-23T01:30:35.4562176Z 'guarded_class': 2022-11-23T01:30:35.4562229Z } 2022-11-23T01:30:35.4562292Z 2022-11-23T01:30:35.4562363Z - 2022-11-23T01:30:35.4562488Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4562550Z { 2022-11-23T01:30:35.4562689Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4562782Z 'code': None, 2022-11-23T01:30:35.4562991Z 'obj_weakref': 2022-11-23T01:30:35.4563241Z 'guarded_class': 2022-11-23T01:30:35.4563303Z } 2022-11-23T01:30:35.4563366Z 2022-11-23T01:30:35.4563434Z - 2022-11-23T01:30:35.4563554Z local 'model' NN_MODULE 2022-11-23T01:30:35.4563603Z { 2022-11-23T01:30:35.4563737Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4563906Z 'code': ['___check_obj_id(model, 140534658512688)'], 2022-11-23T01:30:35.4564126Z 'obj_weakref': 2022-11-23T01:30:35.4564356Z 'guarded_class': 2022-11-23T01:30:35.4564419Z } 2022-11-23T01:30:35.4564480Z 2022-11-23T01:30:35.4564547Z - 2022-11-23T01:30:35.4564656Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4564717Z { 2022-11-23T01:30:35.4564960Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4565177Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4565295Z 'obj_weakref': None 2022-11-23T01:30:35.4565514Z 'guarded_class': 2022-11-23T01:30:35.4565577Z } 2022-11-23T01:30:35.4565631Z 2022-11-23T01:30:35.4565700Z - 2022-11-23T01:30:35.4565844Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4565906Z { 2022-11-23T01:30:35.4566026Z 'guard_types': None, 2022-11-23T01:30:35.4566132Z 'code': None, 2022-11-23T01:30:35.4566248Z 'obj_weakref': None 2022-11-23T01:30:35.4566356Z 'guarded_class': None 2022-11-23T01:30:35.4566418Z } 2022-11-23T01:30:35.4566482Z 2022-11-23T01:30:35.4566550Z - 2022-11-23T01:30:35.4566694Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4566756Z { 2022-11-23T01:30:35.4566860Z 'guard_types': None, 2022-11-23T01:30:35.4566965Z 'code': None, 2022-11-23T01:30:35.4567086Z 'obj_weakref': None 2022-11-23T01:30:35.4567205Z 'guarded_class': None 2022-11-23T01:30:35.4567268Z } 2022-11-23T01:30:35.4567332Z 2022-11-23T01:30:35.4567587Z [2022-11-23 01:23:19,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83 2022-11-23T01:30:35.4567996Z [2022-11-23 01:23:19,051] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py 2022-11-23T01:30:35.4568257Z [2022-11-23 01:23:19,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83 2022-11-23T01:30:35.4568492Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4568805Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4569019Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4569263Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4569565Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4569881Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4570216Z [2022-11-23 01:23:19,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4570527Z [2022-11-23 01:23:19,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4570759Z [2022-11-23 01:23:19,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4570989Z [2022-11-23 01:23:19,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4571247Z [2022-11-23 01:23:19,096] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4571496Z [2022-11-23 01:23:19,111] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4571683Z [2022-11-23 01:23:19,112] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4571815Z __compiled_fn_85 .669 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4571903Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4572002Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4572087Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4572104Z 2022-11-23T01:30:35.4572413Z [2022-11-23 01:23:19,112] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4572504Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4572592Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4572681Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4572772Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4572857Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4572946Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4573009Z 12 RETURN_VALUE 2022-11-23T01:30:35.4573026Z 2022-11-23T01:30:35.4573075Z 2022-11-23T01:30:35.4573396Z [2022-11-23 01:23:19,112] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4573502Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_85) 2022-11-23T01:30:35.4573591Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4573679Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4573753Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4573839Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4573917Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4573991Z 12 RETURN_VALUE 2022-11-23T01:30:35.4573996Z 2022-11-23T01:30:35.4574055Z 2022-11-23T01:30:35.4574272Z [2022-11-23 01:23:19,113] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4574342Z - 2022-11-23T01:30:35.4574460Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4574524Z { 2022-11-23T01:30:35.4574651Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4574836Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4574953Z 'obj_weakref': None 2022-11-23T01:30:35.4575174Z 'guarded_class': 2022-11-23T01:30:35.4575238Z } 2022-11-23T01:30:35.4575302Z 2022-11-23T01:30:35.4575370Z - 2022-11-23T01:30:35.4575481Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4575544Z { 2022-11-23T01:30:35.4575719Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4575827Z 'code': None, 2022-11-23T01:30:35.4576041Z 'obj_weakref': 2022-11-23T01:30:35.4576291Z 'guarded_class': 2022-11-23T01:30:35.4576355Z } 2022-11-23T01:30:35.4576405Z 2022-11-23T01:30:35.4576475Z - 2022-11-23T01:30:35.4576593Z local 'model' NN_MODULE 2022-11-23T01:30:35.4576658Z { 2022-11-23T01:30:35.4576792Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4576957Z 'code': ['___check_obj_id(model, 140534432383184)'], 2022-11-23T01:30:35.4577176Z 'obj_weakref': 2022-11-23T01:30:35.4577396Z 'guarded_class': 2022-11-23T01:30:35.4577463Z } 2022-11-23T01:30:35.4577526Z 2022-11-23T01:30:35.4577596Z - 2022-11-23T01:30:35.4577717Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4577781Z { 2022-11-23T01:30:35.4577916Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4578117Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4578235Z 'obj_weakref': None 2022-11-23T01:30:35.4578456Z 'guarded_class': 2022-11-23T01:30:35.4578522Z } 2022-11-23T01:30:35.4578587Z 2022-11-23T01:30:35.4578656Z - 2022-11-23T01:30:35.4578799Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4578849Z { 2022-11-23T01:30:35.4578969Z 'guard_types': None, 2022-11-23T01:30:35.4579076Z 'code': None, 2022-11-23T01:30:35.4579196Z 'obj_weakref': None 2022-11-23T01:30:35.4579317Z 'guarded_class': None 2022-11-23T01:30:35.4579379Z } 2022-11-23T01:30:35.4579441Z 2022-11-23T01:30:35.4579499Z - 2022-11-23T01:30:35.4579642Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4579705Z { 2022-11-23T01:30:35.4579826Z 'guard_types': None, 2022-11-23T01:30:35.4579930Z 'code': None, 2022-11-23T01:30:35.4580047Z 'obj_weakref': None 2022-11-23T01:30:35.4580166Z 'guarded_class': None 2022-11-23T01:30:35.4580215Z } 2022-11-23T01:30:35.4580276Z 2022-11-23T01:30:35.4580535Z [2022-11-23 01:23:19,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84 2022-11-23T01:30:35.4580540Z 2022-11-23T01:30:35.4580636Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4580706Z import torch 2022-11-23T01:30:35.4580775Z import random 2022-11-23T01:30:35.4580892Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4581000Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4581006Z 2022-11-23T01:30:35.4581117Z aten = torch.ops.aten 2022-11-23T01:30:35.4581256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4581347Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4581352Z 2022-11-23T01:30:35.4581356Z 2022-11-23T01:30:35.4581446Z async_compile.wait(globals()) 2022-11-23T01:30:35.4581518Z del async_compile 2022-11-23T01:30:35.4581523Z 2022-11-23T01:30:35.4581593Z def call(args): 2022-11-23T01:30:35.4581710Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4581770Z args.clear() 2022-11-23T01:30:35.4581900Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:30:35.4582005Z assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1)) 2022-11-23T01:30:35.4582072Z del arg0_1 2022-11-23T01:30:35.4582167Z del arg1_1 2022-11-23T01:30:35.4582232Z del arg7_1 2022-11-23T01:30:35.4582302Z return (buf0, ) 2022-11-23T01:30:35.4582307Z 2022-11-23T01:30:35.4582311Z 2022-11-23T01:30:35.4582376Z if __name__ == "__main__": 2022-11-23T01:30:35.4582489Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4582611Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4582822Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4583015Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4583207Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4583395Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4583584Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4583757Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4583939Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4584147Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4584302Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4584307Z 2022-11-23T01:30:35.4584312Z 2022-11-23T01:30:35.4584405Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4584474Z import torch 2022-11-23T01:30:35.4584543Z import random 2022-11-23T01:30:35.4584657Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4584764Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4584782Z 2022-11-23T01:30:35.4584845Z aten = torch.ops.aten 2022-11-23T01:30:35.4584977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4585068Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4585073Z 2022-11-23T01:30:35.4585080Z 2022-11-23T01:30:35.4585171Z async_compile.wait(globals()) 2022-11-23T01:30:35.4585247Z del async_compile 2022-11-23T01:30:35.4585252Z 2022-11-23T01:30:35.4585320Z def call(args): 2022-11-23T01:30:35.4585437Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4585495Z args.clear() 2022-11-23T01:30:35.4585629Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4585738Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:30:35.4585805Z del arg0_1 2022-11-23T01:30:35.4585871Z del arg1_1 2022-11-23T01:30:35.4585934Z del arg7_1 2022-11-23T01:30:35.4586005Z return (buf0, ) 2022-11-23T01:30:35.4586009Z 2022-11-23T01:30:35.4586014Z 2022-11-23T01:30:35.4586087Z if __name__ == "__main__": 2022-11-23T01:30:35.4586187Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4586307Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4586517Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4586745Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4586937Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4587121Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4587305Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4587486Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4587650Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4587871Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4588026Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4588060Z 2022-11-23T01:30:35.4588064Z 2022-11-23T01:30:35.4588160Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4588229Z import torch 2022-11-23T01:30:35.4588298Z import random 2022-11-23T01:30:35.4588414Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4588533Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4588537Z 2022-11-23T01:30:35.4588602Z aten = torch.ops.aten 2022-11-23T01:30:35.4588734Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4588824Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4588828Z 2022-11-23T01:30:35.4588832Z 2022-11-23T01:30:35.4588919Z async_compile.wait(globals()) 2022-11-23T01:30:35.4588990Z del async_compile 2022-11-23T01:30:35.4588995Z 2022-11-23T01:30:35.4589064Z def call(args): 2022-11-23T01:30:35.4589180Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4589250Z args.clear() 2022-11-23T01:30:35.4589370Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4589481Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:30:35.4589551Z del arg0_1 2022-11-23T01:30:35.4589616Z del arg1_1 2022-11-23T01:30:35.4589680Z del arg7_1 2022-11-23T01:30:35.4589750Z return (buf0, ) 2022-11-23T01:30:35.4589754Z 2022-11-23T01:30:35.4589758Z 2022-11-23T01:30:35.4589833Z if __name__ == "__main__": 2022-11-23T01:30:35.4589933Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4590056Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4590265Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4590453Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4590639Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4590826Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4591014Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4591201Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4591365Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4591581Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4591733Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4591738Z 2022-11-23T01:30:35.4591742Z 2022-11-23T01:30:35.4591834Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4591903Z import torch 2022-11-23T01:30:35.4591971Z import random 2022-11-23T01:30:35.4592086Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4592204Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4592211Z 2022-11-23T01:30:35.4592276Z aten = torch.ops.aten 2022-11-23T01:30:35.4592408Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4592496Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4592528Z 2022-11-23T01:30:35.4592533Z 2022-11-23T01:30:35.4592621Z async_compile.wait(globals()) 2022-11-23T01:30:35.4592691Z del async_compile 2022-11-23T01:30:35.4592695Z 2022-11-23T01:30:35.4592765Z def call(args): 2022-11-23T01:30:35.4592880Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4592950Z args.clear() 2022-11-23T01:30:35.4593071Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.4593183Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:30:35.4593249Z del arg0_1 2022-11-23T01:30:35.4593314Z del arg1_1 2022-11-23T01:30:35.4593379Z del arg7_1 2022-11-23T01:30:35.4593448Z return (buf0, ) 2022-11-23T01:30:35.4593480Z 2022-11-23T01:30:35.4593484Z 2022-11-23T01:30:35.4593559Z if __name__ == "__main__": 2022-11-23T01:30:35.4593668Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4593779Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4593988Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4594181Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4594373Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4594559Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4594745Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4594930Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4595105Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4595316Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4595473Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4595478Z 2022-11-23T01:30:35.4595482Z 2022-11-23T01:30:35.4595576Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4595644Z import torch 2022-11-23T01:30:35.4595712Z import random 2022-11-23T01:30:35.4595827Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4595945Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4595950Z 2022-11-23T01:30:35.4596025Z aten = torch.ops.aten 2022-11-23T01:30:35.4596144Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4596234Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4596239Z 2022-11-23T01:30:35.4596243Z 2022-11-23T01:30:35.4596332Z async_compile.wait(globals()) 2022-11-23T01:30:35.4596402Z del async_compile 2022-11-23T01:30:35.4596409Z 2022-11-23T01:30:35.4596480Z def call(args): 2022-11-23T01:30:35.4596596Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4596667Z args.clear() 2022-11-23T01:30:35.4596798Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.4596898Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:30:35.4596965Z del arg0_1 2022-11-23T01:30:35.4597029Z del arg1_1 2022-11-23T01:30:35.4597096Z del arg7_1 2022-11-23T01:30:35.4597166Z return (buf0, ) 2022-11-23T01:30:35.4597171Z 2022-11-23T01:30:35.4597175Z 2022-11-23T01:30:35.4597248Z if __name__ == "__main__": 2022-11-23T01:30:35.4597359Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4597467Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4597675Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4597869Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4598086Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4598276Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4598466Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4598649Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4598822Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4599030Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4599185Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4599190Z 2022-11-23T01:30:35.4599567Z [2022-11-23 01:23:19,127] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py 2022-11-23T01:30:35.4599861Z [2022-11-23 01:23:19,127] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84 2022-11-23T01:30:35.4600189Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4600509Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4600723Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4600967Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4601236Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4601549Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4601876Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4602187Z [2022-11-23 01:23:19,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4602431Z [2022-11-23 01:23:19,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4602660Z [2022-11-23 01:23:19,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4602913Z [2022-11-23 01:23:19,150] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4603159Z [2022-11-23 01:23:19,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4603349Z [2022-11-23 01:23:19,168] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4603483Z __compiled_fn_86 .680 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4603574Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4603659Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4603758Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4603763Z 2022-11-23T01:30:35.4604089Z [2022-11-23 01:23:19,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4604181Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4604271Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4604358Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4604449Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4604532Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4604611Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4604685Z 12 RETURN_VALUE 2022-11-23T01:30:35.4604691Z 2022-11-23T01:30:35.4604855Z 2022-11-23T01:30:35.4605240Z [2022-11-23 01:23:19,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4605351Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_86) 2022-11-23T01:30:35.4605440Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4605530Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4605606Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4605680Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4605768Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4605842Z 12 RETURN_VALUE 2022-11-23T01:30:35.4605847Z 2022-11-23T01:30:35.4605906Z 2022-11-23T01:30:35.4606088Z [2022-11-23 01:23:19,169] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4606211Z - 2022-11-23T01:30:35.4606330Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4606381Z { 2022-11-23T01:30:35.4606523Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4606706Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4606824Z 'obj_weakref': None 2022-11-23T01:30:35.4607048Z 'guarded_class': 2022-11-23T01:30:35.4607111Z } 2022-11-23T01:30:35.4607174Z 2022-11-23T01:30:35.4607231Z - 2022-11-23T01:30:35.4607353Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4607418Z { 2022-11-23T01:30:35.4607558Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4607664Z 'code': None, 2022-11-23T01:30:35.4607874Z 'obj_weakref': 2022-11-23T01:30:35.4608129Z 'guarded_class': 2022-11-23T01:30:35.4608216Z } 2022-11-23T01:30:35.4608283Z 2022-11-23T01:30:35.4608351Z - 2022-11-23T01:30:35.4608469Z local 'model' NN_MODULE 2022-11-23T01:30:35.4608532Z { 2022-11-23T01:30:35.4608666Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4608834Z 'code': ['___check_obj_id(model, 140534432383184)'], 2022-11-23T01:30:35.4609042Z 'obj_weakref': 2022-11-23T01:30:35.4609273Z 'guarded_class': 2022-11-23T01:30:35.4609335Z } 2022-11-23T01:30:35.4609397Z 2022-11-23T01:30:35.4609466Z - 2022-11-23T01:30:35.4609586Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4609648Z { 2022-11-23T01:30:35.4609772Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4609988Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4610109Z 'obj_weakref': None 2022-11-23T01:30:35.4610329Z 'guarded_class': 2022-11-23T01:30:35.4610391Z } 2022-11-23T01:30:35.4610452Z 2022-11-23T01:30:35.4610521Z - 2022-11-23T01:30:35.4610651Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4610715Z { 2022-11-23T01:30:35.4610834Z 'guard_types': None, 2022-11-23T01:30:35.4610939Z 'code': None, 2022-11-23T01:30:35.4611054Z 'obj_weakref': None 2022-11-23T01:30:35.4611173Z 'guarded_class': None 2022-11-23T01:30:35.4611235Z } 2022-11-23T01:30:35.4611285Z 2022-11-23T01:30:35.4611353Z - 2022-11-23T01:30:35.4611500Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4611562Z { 2022-11-23T01:30:35.4611678Z 'guard_types': None, 2022-11-23T01:30:35.4611811Z 'code': None, 2022-11-23T01:30:35.4611916Z 'obj_weakref': None 2022-11-23T01:30:35.4612036Z 'guarded_class': None 2022-11-23T01:30:35.4612098Z } 2022-11-23T01:30:35.4612159Z 2022-11-23T01:30:35.4612418Z [2022-11-23 01:23:19,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85 2022-11-23T01:30:35.4612784Z [2022-11-23 01:23:19,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py 2022-11-23T01:30:35.4613046Z [2022-11-23 01:23:19,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85 2022-11-23T01:30:35.4613284Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4613630Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4613838Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4614079Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4614346Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4614659Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4614994Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4615304Z [2022-11-23 01:23:19,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4615551Z [2022-11-23 01:23:19,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4615783Z [2022-11-23 01:23:19,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4616033Z [2022-11-23 01:23:19,209] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4616270Z [2022-11-23 01:23:19,225] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4616457Z [2022-11-23 01:23:19,225] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4616588Z __compiled_fn_87 .691 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4616679Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4616776Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4616875Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4616880Z 2022-11-23T01:30:35.4617211Z [2022-11-23 01:23:19,226] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4617306Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4617397Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4617470Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4617560Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4617646Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4617737Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4617812Z 12 RETURN_VALUE 2022-11-23T01:30:35.4617817Z 2022-11-23T01:30:35.4617880Z 2022-11-23T01:30:35.4618204Z [2022-11-23 01:23:19,226] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4618300Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_87) 2022-11-23T01:30:35.4618390Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4618506Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4618585Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4618672Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4618760Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4618834Z 12 RETURN_VALUE 2022-11-23T01:30:35.4618838Z 2022-11-23T01:30:35.4618885Z 2022-11-23T01:30:35.4619067Z [2022-11-23 01:23:19,227] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4619137Z - 2022-11-23T01:30:35.4619257Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4619320Z { 2022-11-23T01:30:35.4619460Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4619643Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4619777Z 'obj_weakref': None 2022-11-23T01:30:35.4620002Z 'guarded_class': 2022-11-23T01:30:35.4620068Z } 2022-11-23T01:30:35.4620131Z 2022-11-23T01:30:35.4620202Z - 2022-11-23T01:30:35.4620324Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4620387Z { 2022-11-23T01:30:35.4620516Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4620623Z 'code': None, 2022-11-23T01:30:35.4620833Z 'obj_weakref': 2022-11-23T01:30:35.4621085Z 'guarded_class': 2022-11-23T01:30:35.4621148Z } 2022-11-23T01:30:35.4621210Z 2022-11-23T01:30:35.4621278Z - 2022-11-23T01:30:35.4621384Z local 'model' NN_MODULE 2022-11-23T01:30:35.4621448Z { 2022-11-23T01:30:35.4621584Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4621752Z 'code': ['___check_obj_id(model, 140534625554192)'], 2022-11-23T01:30:35.4621971Z 'obj_weakref': 2022-11-23T01:30:35.4622204Z 'guarded_class': 2022-11-23T01:30:35.4622267Z } 2022-11-23T01:30:35.4622328Z 2022-11-23T01:30:35.4622384Z - 2022-11-23T01:30:35.4622508Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4622569Z { 2022-11-23T01:30:35.4622703Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4622917Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4623035Z 'obj_weakref': None 2022-11-23T01:30:35.4623256Z 'guarded_class': 2022-11-23T01:30:35.4623308Z } 2022-11-23T01:30:35.4623372Z 2022-11-23T01:30:35.4623441Z - 2022-11-23T01:30:35.4623587Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4623649Z { 2022-11-23T01:30:35.4623767Z 'guard_types': None, 2022-11-23T01:30:35.4623859Z 'code': None, 2022-11-23T01:30:35.4623974Z 'obj_weakref': None 2022-11-23T01:30:35.4624094Z 'guarded_class': None 2022-11-23T01:30:35.4624158Z } 2022-11-23T01:30:35.4624222Z 2022-11-23T01:30:35.4624291Z - 2022-11-23T01:30:35.4624434Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4624483Z { 2022-11-23T01:30:35.4624601Z 'guard_types': None, 2022-11-23T01:30:35.4624705Z 'code': None, 2022-11-23T01:30:35.4624818Z 'obj_weakref': None 2022-11-23T01:30:35.4624937Z 'guarded_class': None 2022-11-23T01:30:35.4625001Z } 2022-11-23T01:30:35.4625061Z 2022-11-23T01:30:35.4625375Z [2022-11-23 01:23:19,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86 2022-11-23T01:30:35.4625748Z [2022-11-23 01:23:19,241] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py 2022-11-23T01:30:35.4626009Z [2022-11-23 01:23:19,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86 2022-11-23T01:30:35.4626245Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4626558Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4626771Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4627012Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4627318Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4627628Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4627966Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4628263Z [2022-11-23 01:23:19,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4628510Z [2022-11-23 01:23:19,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4628745Z [2022-11-23 01:23:19,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4629001Z [2022-11-23 01:23:19,276] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4629249Z [2022-11-23 01:23:19,292] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4629434Z [2022-11-23 01:23:19,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4629565Z __compiled_fn_88 .702 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4629653Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4629739Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4629837Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4629843Z 2022-11-23T01:30:35.4630166Z [2022-11-23 01:23:19,293] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4630259Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4630352Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4630439Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4630531Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4630614Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4630690Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4630765Z 12 RETURN_VALUE 2022-11-23T01:30:35.4630770Z 2022-11-23T01:30:35.4630831Z 2022-11-23T01:30:35.4631151Z [2022-11-23 01:23:19,293] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4631258Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_88) 2022-11-23T01:30:35.4631358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4631445Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4631522Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4631599Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4631688Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4631762Z 12 RETURN_VALUE 2022-11-23T01:30:35.4631767Z 2022-11-23T01:30:35.4631858Z 2022-11-23T01:30:35.4632042Z [2022-11-23 01:23:19,294] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4632111Z - 2022-11-23T01:30:35.4632227Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4632278Z { 2022-11-23T01:30:35.4632416Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4632600Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4632718Z 'obj_weakref': None 2022-11-23T01:30:35.4632942Z 'guarded_class': 2022-11-23T01:30:35.4633004Z } 2022-11-23T01:30:35.4633065Z 2022-11-23T01:30:35.4633122Z - 2022-11-23T01:30:35.4633245Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4633335Z { 2022-11-23T01:30:35.4633477Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4633583Z 'code': None, 2022-11-23T01:30:35.4633796Z 'obj_weakref': 2022-11-23T01:30:35.4634047Z 'guarded_class': 2022-11-23T01:30:35.4634098Z } 2022-11-23T01:30:35.4634161Z 2022-11-23T01:30:35.4634229Z - 2022-11-23T01:30:35.4634347Z local 'model' NN_MODULE 2022-11-23T01:30:35.4634408Z { 2022-11-23T01:30:35.4634541Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4634707Z 'code': ['___check_obj_id(model, 140534625554192)'], 2022-11-23T01:30:35.4634910Z 'obj_weakref': 2022-11-23T01:30:35.4635141Z 'guarded_class': 2022-11-23T01:30:35.4635205Z } 2022-11-23T01:30:35.4635267Z 2022-11-23T01:30:35.4635336Z - 2022-11-23T01:30:35.4635457Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4635519Z { 2022-11-23T01:30:35.4635642Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4635856Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4635972Z 'obj_weakref': None 2022-11-23T01:30:35.4636190Z 'guarded_class': 2022-11-23T01:30:35.4636252Z } 2022-11-23T01:30:35.4636313Z 2022-11-23T01:30:35.4636380Z - 2022-11-23T01:30:35.4636512Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4636575Z { 2022-11-23T01:30:35.4636692Z 'guard_types': None, 2022-11-23T01:30:35.4636800Z 'code': None, 2022-11-23T01:30:35.4636917Z 'obj_weakref': None 2022-11-23T01:30:35.4637035Z 'guarded_class': None 2022-11-23T01:30:35.4637098Z } 2022-11-23T01:30:35.4637148Z 2022-11-23T01:30:35.4637216Z - 2022-11-23T01:30:35.4637359Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4637421Z { 2022-11-23T01:30:35.4637537Z 'guard_types': None, 2022-11-23T01:30:35.4637641Z 'code': None, 2022-11-23T01:30:35.4637756Z 'obj_weakref': None 2022-11-23T01:30:35.4637865Z 'guarded_class': None 2022-11-23T01:30:35.4637926Z } 2022-11-23T01:30:35.4637989Z 2022-11-23T01:30:35.4638245Z [2022-11-23 01:23:19,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87 2022-11-23T01:30:35.4638609Z [2022-11-23 01:23:19,309] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py 2022-11-23T01:30:35.4638871Z [2022-11-23 01:23:19,309] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87 2022-11-23T01:30:35.4639136Z [2022-11-23 01:23:19,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4639449Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4639652Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4639893Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4640263Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4640573Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4640947Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4641255Z [2022-11-23 01:23:19,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4641500Z [2022-11-23 01:23:19,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4641734Z [2022-11-23 01:23:19,340] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4641985Z [2022-11-23 01:23:19,341] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4642231Z [2022-11-23 01:23:19,357] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4642408Z [2022-11-23 01:23:19,358] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4642541Z __compiled_fn_89 .713 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4642633Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4642732Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4642831Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4642837Z 2022-11-23T01:30:35.4643162Z [2022-11-23 01:23:19,358] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4643254Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4643343Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4643415Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4643505Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4643588Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4643674Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4643752Z 12 RETURN_VALUE 2022-11-23T01:30:35.4643757Z 2022-11-23T01:30:35.4643816Z 2022-11-23T01:30:35.4644143Z [2022-11-23 01:23:19,358] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4644237Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_89) 2022-11-23T01:30:35.4644327Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4644416Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4644492Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4644581Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4644669Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4644871Z 12 RETURN_VALUE 2022-11-23T01:30:35.4644876Z 2022-11-23T01:30:35.4644937Z 2022-11-23T01:30:35.4645107Z [2022-11-23 01:23:19,359] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4645181Z - 2022-11-23T01:30:35.4645299Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4645362Z { 2022-11-23T01:30:35.4645500Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4645741Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4645863Z 'obj_weakref': None 2022-11-23T01:30:35.4646074Z 'guarded_class': 2022-11-23T01:30:35.4646139Z } 2022-11-23T01:30:35.4646209Z 2022-11-23T01:30:35.4646278Z - 2022-11-23T01:30:35.4646401Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4646464Z { 2022-11-23T01:30:35.4646591Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4646697Z 'code': None, 2022-11-23T01:30:35.4646909Z 'obj_weakref': 2022-11-23T01:30:35.4647161Z 'guarded_class': 2022-11-23T01:30:35.4647262Z } 2022-11-23T01:30:35.4647325Z 2022-11-23T01:30:35.4647399Z - 2022-11-23T01:30:35.4647518Z local 'model' NN_MODULE 2022-11-23T01:30:35.4647569Z { 2022-11-23T01:30:35.4647703Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4647870Z 'code': ['___check_obj_id(model, 140534623226320)'], 2022-11-23T01:30:35.4648087Z 'obj_weakref': 2022-11-23T01:30:35.4648319Z 'guarded_class': 2022-11-23T01:30:35.4648382Z } 2022-11-23T01:30:35.4648444Z 2022-11-23T01:30:35.4648500Z - 2022-11-23T01:30:35.4648622Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4648684Z { 2022-11-23T01:30:35.4648817Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4649036Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4649156Z 'obj_weakref': None 2022-11-23T01:30:35.4649377Z 'guarded_class': 2022-11-23T01:30:35.4649427Z } 2022-11-23T01:30:35.4649489Z 2022-11-23T01:30:35.4649558Z - 2022-11-23T01:30:35.4649701Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4649763Z { 2022-11-23T01:30:35.4649880Z 'guard_types': None, 2022-11-23T01:30:35.4649984Z 'code': None, 2022-11-23T01:30:35.4650088Z 'obj_weakref': None 2022-11-23T01:30:35.4650206Z 'guarded_class': None 2022-11-23T01:30:35.4650269Z } 2022-11-23T01:30:35.4650332Z 2022-11-23T01:30:35.4650400Z - 2022-11-23T01:30:35.4650543Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4650595Z { 2022-11-23T01:30:35.4650712Z 'guard_types': None, 2022-11-23T01:30:35.4650816Z 'code': None, 2022-11-23T01:30:35.4650932Z 'obj_weakref': None 2022-11-23T01:30:35.4651053Z 'guarded_class': None 2022-11-23T01:30:35.4651114Z } 2022-11-23T01:30:35.4651176Z 2022-11-23T01:30:35.4651422Z [2022-11-23 01:23:19,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88 2022-11-23T01:30:35.4651787Z [2022-11-23 01:23:19,374] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py 2022-11-23T01:30:35.4652044Z [2022-11-23 01:23:19,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88 2022-11-23T01:30:35.4652279Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4652593Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4652841Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4653085Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4653347Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4653657Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4653990Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4654287Z [2022-11-23 01:23:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4654581Z [2022-11-23 01:23:19,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4654812Z [2022-11-23 01:23:19,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4655065Z [2022-11-23 01:23:19,397] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4655309Z [2022-11-23 01:23:19,413] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4655498Z [2022-11-23 01:23:19,413] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4655632Z __compiled_fn_90 .724 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4655720Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4655820Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4655908Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4655914Z 2022-11-23T01:30:35.4656238Z [2022-11-23 01:23:19,413] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4656332Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4656422Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4656508Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4656600Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4656683Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4656759Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4656835Z 12 RETURN_VALUE 2022-11-23T01:30:35.4656840Z 2022-11-23T01:30:35.4656900Z 2022-11-23T01:30:35.4657223Z [2022-11-23 01:23:19,413] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4657333Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_90) 2022-11-23T01:30:35.4657422Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4657512Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4657589Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4657663Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4657751Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4657825Z 12 RETURN_VALUE 2022-11-23T01:30:35.4657830Z 2022-11-23T01:30:35.4657893Z 2022-11-23T01:30:35.4658074Z [2022-11-23 01:23:19,414] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4658143Z - 2022-11-23T01:30:35.4658260Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4658312Z { 2022-11-23T01:30:35.4658452Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4658637Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4658756Z 'obj_weakref': None 2022-11-23T01:30:35.4658981Z 'guarded_class': 2022-11-23T01:30:35.4659045Z } 2022-11-23T01:30:35.4659149Z 2022-11-23T01:30:35.4659206Z - 2022-11-23T01:30:35.4659331Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4659394Z { 2022-11-23T01:30:35.4659536Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4659642Z 'code': None, 2022-11-23T01:30:35.4659853Z 'obj_weakref': 2022-11-23T01:30:35.4660102Z 'guarded_class': 2022-11-23T01:30:35.4660153Z } 2022-11-23T01:30:35.4660216Z 2022-11-23T01:30:35.4660286Z - 2022-11-23T01:30:35.4660404Z local 'model' NN_MODULE 2022-11-23T01:30:35.4660467Z { 2022-11-23T01:30:35.4660632Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4660799Z 'code': ['___check_obj_id(model, 140534623226320)'], 2022-11-23T01:30:35.4661007Z 'obj_weakref': 2022-11-23T01:30:35.4661241Z 'guarded_class': 2022-11-23T01:30:35.4661303Z } 2022-11-23T01:30:35.4661366Z 2022-11-23T01:30:35.4661437Z - 2022-11-23T01:30:35.4661558Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4661620Z { 2022-11-23T01:30:35.4661742Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4661957Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4662073Z 'obj_weakref': None 2022-11-23T01:30:35.4662298Z 'guarded_class': 2022-11-23T01:30:35.4662366Z } 2022-11-23T01:30:35.4662429Z 2022-11-23T01:30:35.4662498Z - 2022-11-23T01:30:35.4662629Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4662695Z { 2022-11-23T01:30:35.4662814Z 'guard_types': None, 2022-11-23T01:30:35.4662921Z 'code': None, 2022-11-23T01:30:35.4663038Z 'obj_weakref': None 2022-11-23T01:30:35.4663158Z 'guarded_class': None 2022-11-23T01:30:35.4663219Z } 2022-11-23T01:30:35.4663269Z 2022-11-23T01:30:35.4663339Z - 2022-11-23T01:30:35.4663481Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4663545Z { 2022-11-23T01:30:35.4663664Z 'guard_types': None, 2022-11-23T01:30:35.4663769Z 'code': None, 2022-11-23T01:30:35.4663888Z 'obj_weakref': None 2022-11-23T01:30:35.4663995Z 'guarded_class': None 2022-11-23T01:30:35.4664059Z } 2022-11-23T01:30:35.4664122Z 2022-11-23T01:30:35.4664378Z [2022-11-23 01:23:19,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89 2022-11-23T01:30:35.4664386Z 2022-11-23T01:30:35.4664481Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4664550Z import torch 2022-11-23T01:30:35.4664619Z import random 2022-11-23T01:30:35.4664722Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4664845Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4664850Z 2022-11-23T01:30:35.4664928Z aten = torch.ops.aten 2022-11-23T01:30:35.4665063Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4665155Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4665160Z 2022-11-23T01:30:35.4665164Z 2022-11-23T01:30:35.4665250Z async_compile.wait(globals()) 2022-11-23T01:30:35.4665324Z del async_compile 2022-11-23T01:30:35.4665329Z 2022-11-23T01:30:35.4665398Z def call(args): 2022-11-23T01:30:35.4665507Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4665579Z args.clear() 2022-11-23T01:30:35.4665741Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.4665858Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:30:35.4665926Z del arg0_1 2022-11-23T01:30:35.4665991Z del arg1_1 2022-11-23T01:30:35.4666057Z del arg7_1 2022-11-23T01:30:35.4666115Z return (buf0, ) 2022-11-23T01:30:35.4666120Z 2022-11-23T01:30:35.4666136Z 2022-11-23T01:30:35.4666199Z if __name__ == "__main__": 2022-11-23T01:30:35.4666315Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4666438Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4666648Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4666842Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4667061Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4667250Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4667424Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4667609Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4667786Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4668010Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4668165Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4668170Z 2022-11-23T01:30:35.4668175Z 2022-11-23T01:30:35.4668270Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4668338Z import torch 2022-11-23T01:30:35.4668406Z import random 2022-11-23T01:30:35.4668511Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4668630Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4668634Z 2022-11-23T01:30:35.4668713Z aten = torch.ops.aten 2022-11-23T01:30:35.4668846Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4668936Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4668940Z 2022-11-23T01:30:35.4668945Z 2022-11-23T01:30:35.4669029Z async_compile.wait(globals()) 2022-11-23T01:30:35.4669100Z del async_compile 2022-11-23T01:30:35.4669104Z 2022-11-23T01:30:35.4669174Z def call(args): 2022-11-23T01:30:35.4669289Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4669347Z args.clear() 2022-11-23T01:30:35.4669481Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.4669591Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:30:35.4669659Z del arg0_1 2022-11-23T01:30:35.4669724Z del arg1_1 2022-11-23T01:30:35.4669788Z del arg7_1 2022-11-23T01:30:35.4669857Z return (buf0, ) 2022-11-23T01:30:35.4669862Z 2022-11-23T01:30:35.4669868Z 2022-11-23T01:30:35.4669931Z if __name__ == "__main__": 2022-11-23T01:30:35.4670044Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4670164Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4670372Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4670564Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4670748Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4670933Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4671113Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4671281Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4671461Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4671708Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4671864Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4671869Z 2022-11-23T01:30:35.4671873Z 2022-11-23T01:30:35.4671966Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4672033Z import torch 2022-11-23T01:30:35.4672101Z import random 2022-11-23T01:30:35.4672215Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4672322Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4672327Z 2022-11-23T01:30:35.4672403Z aten = torch.ops.aten 2022-11-23T01:30:35.4672535Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4672624Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4672660Z 2022-11-23T01:30:35.4672664Z 2022-11-23T01:30:35.4672751Z async_compile.wait(globals()) 2022-11-23T01:30:35.4672822Z del async_compile 2022-11-23T01:30:35.4672826Z 2022-11-23T01:30:35.4672899Z def call(args): 2022-11-23T01:30:35.4673013Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4673071Z args.clear() 2022-11-23T01:30:35.4673206Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.4673318Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:30:35.4673385Z del arg0_1 2022-11-23T01:30:35.4673450Z del arg1_1 2022-11-23T01:30:35.4673514Z del arg7_1 2022-11-23T01:30:35.4673583Z return (buf0, ) 2022-11-23T01:30:35.4673587Z 2022-11-23T01:30:35.4673591Z 2022-11-23T01:30:35.4673665Z if __name__ == "__main__": 2022-11-23T01:30:35.4673764Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4673886Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4674094Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4674291Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4674481Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4674670Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4674856Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4675027Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4675201Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4675424Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4675579Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4675587Z 2022-11-23T01:30:35.4675592Z 2022-11-23T01:30:35.4675686Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4675756Z import torch 2022-11-23T01:30:35.4675825Z import random 2022-11-23T01:30:35.4675939Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4676045Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4676062Z 2022-11-23T01:30:35.4676126Z aten = torch.ops.aten 2022-11-23T01:30:35.4676256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4676347Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4676351Z 2022-11-23T01:30:35.4676356Z 2022-11-23T01:30:35.4676444Z async_compile.wait(globals()) 2022-11-23T01:30:35.4676515Z del async_compile 2022-11-23T01:30:35.4676519Z 2022-11-23T01:30:35.4676589Z def call(args): 2022-11-23T01:30:35.4676704Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4676764Z args.clear() 2022-11-23T01:30:35.4676898Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.4677040Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:30:35.4677107Z del arg0_1 2022-11-23T01:30:35.4677172Z del arg1_1 2022-11-23T01:30:35.4677236Z del arg7_1 2022-11-23T01:30:35.4677306Z return (buf0, ) 2022-11-23T01:30:35.4677310Z 2022-11-23T01:30:35.4677314Z 2022-11-23T01:30:35.4677388Z if __name__ == "__main__": 2022-11-23T01:30:35.4677489Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4677609Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4677817Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4678008Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4678199Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4678412Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4678599Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4678783Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4678948Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4679170Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4679322Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4679327Z 2022-11-23T01:30:35.4679332Z 2022-11-23T01:30:35.4679425Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4679493Z import torch 2022-11-23T01:30:35.4679562Z import random 2022-11-23T01:30:35.4679676Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4679794Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4679801Z 2022-11-23T01:30:35.4679865Z aten = torch.ops.aten 2022-11-23T01:30:35.4680135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4680232Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4680238Z 2022-11-23T01:30:35.4680242Z 2022-11-23T01:30:35.4680330Z async_compile.wait(globals()) 2022-11-23T01:30:35.4680401Z del async_compile 2022-11-23T01:30:35.4680406Z 2022-11-23T01:30:35.4680475Z def call(args): 2022-11-23T01:30:35.4680591Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4680664Z args.clear() 2022-11-23T01:30:35.4680785Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4680896Z assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1)) 2022-11-23T01:30:35.4680962Z del arg0_1 2022-11-23T01:30:35.4681029Z del arg1_1 2022-11-23T01:30:35.4681093Z del arg7_1 2022-11-23T01:30:35.4681165Z return (buf0, ) 2022-11-23T01:30:35.4681170Z 2022-11-23T01:30:35.4681174Z 2022-11-23T01:30:35.4681248Z if __name__ == "__main__": 2022-11-23T01:30:35.4681351Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4681473Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4681684Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4681875Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4682063Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4682248Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4682433Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4682616Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4682781Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4683005Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4683193Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4683198Z 2022-11-23T01:30:35.4683571Z [2022-11-23 01:23:20,895] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm7twkgvwcern6267lpmeqdepccogokskufjadtxlimch2pd2xza.py 2022-11-23T01:30:35.4683835Z [2022-11-23 01:23:20,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89 2022-11-23T01:30:35.4684072Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4684386Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4684600Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4684987Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4685259Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4685560Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4685899Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4686213Z [2022-11-23 01:23:20,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4686459Z [2022-11-23 01:23:20,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4686693Z [2022-11-23 01:23:20,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4686950Z [2022-11-23 01:23:20,924] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4687196Z [2022-11-23 01:23:20,942] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4687384Z [2022-11-23 01:23:20,942] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4687516Z __compiled_fn_91 .735 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4687592Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4687690Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4687788Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4687794Z 2022-11-23T01:30:35.4688117Z [2022-11-23 01:23:20,943] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4688211Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4688300Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4688389Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4688480Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4688551Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4688641Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4688715Z 12 RETURN_VALUE 2022-11-23T01:30:35.4688720Z 2022-11-23T01:30:35.4688780Z 2022-11-23T01:30:35.4689105Z [2022-11-23 01:23:20,943] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4689212Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_91) 2022-11-23T01:30:35.4689301Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4689389Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4689455Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4689542Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4689682Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4689759Z 12 RETURN_VALUE 2022-11-23T01:30:35.4689764Z 2022-11-23T01:30:35.4689823Z 2022-11-23T01:30:35.4690006Z [2022-11-23 01:23:20,944] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4690077Z - 2022-11-23T01:30:35.4690183Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4690246Z { 2022-11-23T01:30:35.4690403Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4690593Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4690712Z 'obj_weakref': None 2022-11-23T01:30:35.4690938Z 'guarded_class': 2022-11-23T01:30:35.4691002Z } 2022-11-23T01:30:35.4691089Z 2022-11-23T01:30:35.4691161Z - 2022-11-23T01:30:35.4691285Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4691347Z { 2022-11-23T01:30:35.4691491Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4691599Z 'code': None, 2022-11-23T01:30:35.4691811Z 'obj_weakref': 2022-11-23T01:30:35.4692049Z 'guarded_class': 2022-11-23T01:30:35.4692117Z } 2022-11-23T01:30:35.4692180Z 2022-11-23T01:30:35.4692248Z - 2022-11-23T01:30:35.4692368Z local 'model' NN_MODULE 2022-11-23T01:30:35.4692431Z { 2022-11-23T01:30:35.4692564Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4692718Z 'code': ['___check_obj_id(model, 140534623608048)'], 2022-11-23T01:30:35.4692936Z 'obj_weakref': 2022-11-23T01:30:35.4693174Z 'guarded_class': 2022-11-23T01:30:35.4693244Z } 2022-11-23T01:30:35.4693307Z 2022-11-23T01:30:35.4693375Z - 2022-11-23T01:30:35.4693495Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4693545Z { 2022-11-23T01:30:35.4693681Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4693898Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4694017Z 'obj_weakref': None 2022-11-23T01:30:35.4694239Z 'guarded_class': 2022-11-23T01:30:35.4694302Z } 2022-11-23T01:30:35.4694364Z 2022-11-23T01:30:35.4694419Z - 2022-11-23T01:30:35.4694565Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4694630Z { 2022-11-23T01:30:35.4694752Z 'guard_types': None, 2022-11-23T01:30:35.4694857Z 'code': None, 2022-11-23T01:30:35.4694975Z 'obj_weakref': None 2022-11-23T01:30:35.4695095Z 'guarded_class': None 2022-11-23T01:30:35.4695145Z } 2022-11-23T01:30:35.4695209Z 2022-11-23T01:30:35.4695277Z - 2022-11-23T01:30:35.4695421Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4695485Z { 2022-11-23T01:30:35.4695603Z 'guard_types': None, 2022-11-23T01:30:35.4695707Z 'code': None, 2022-11-23T01:30:35.4695811Z 'obj_weakref': None 2022-11-23T01:30:35.4695929Z 'guarded_class': None 2022-11-23T01:30:35.4695992Z } 2022-11-23T01:30:35.4696054Z 2022-11-23T01:30:35.4696312Z [2022-11-23 01:23:20,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90 2022-11-23T01:30:35.4696684Z [2022-11-23 01:23:20,959] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py 2022-11-23T01:30:35.4696977Z [2022-11-23 01:23:20,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90 2022-11-23T01:30:35.4697202Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4697517Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4697735Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4697975Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4698243Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4698610Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4698949Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4699261Z [2022-11-23 01:23:20,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4699507Z [2022-11-23 01:23:21,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4699737Z [2022-11-23 01:23:21,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4699980Z [2022-11-23 01:23:21,005] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4700227Z [2022-11-23 01:23:21,022] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4700414Z [2022-11-23 01:23:21,022] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4700546Z __compiled_fn_92 .746 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4700636Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4700734Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4700832Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4700837Z 2022-11-23T01:30:35.4701164Z [2022-11-23 01:23:21,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4701258Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4701334Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4701421Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4701512Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4701600Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4701691Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4701767Z 12 RETURN_VALUE 2022-11-23T01:30:35.4701774Z 2022-11-23T01:30:35.4701834Z 2022-11-23T01:30:35.4702146Z [2022-11-23 01:23:21,023] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4702254Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_92) 2022-11-23T01:30:35.4702342Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4702433Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4702508Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4702596Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4702684Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4702757Z 12 RETURN_VALUE 2022-11-23T01:30:35.4702761Z 2022-11-23T01:30:35.4702808Z 2022-11-23T01:30:35.4702991Z [2022-11-23 01:23:21,024] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4703064Z - 2022-11-23T01:30:35.4703185Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4703277Z { 2022-11-23T01:30:35.4703420Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4703607Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4703714Z 'obj_weakref': None 2022-11-23T01:30:35.4703939Z 'guarded_class': 2022-11-23T01:30:35.4704002Z } 2022-11-23T01:30:35.4704066Z 2022-11-23T01:30:35.4704135Z - 2022-11-23T01:30:35.4704257Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4704321Z { 2022-11-23T01:30:35.4704449Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4704554Z 'code': None, 2022-11-23T01:30:35.4704766Z 'obj_weakref': 2022-11-23T01:30:35.4705050Z 'guarded_class': 2022-11-23T01:30:35.4705114Z } 2022-11-23T01:30:35.4705176Z 2022-11-23T01:30:35.4705245Z - 2022-11-23T01:30:35.4705352Z local 'model' NN_MODULE 2022-11-23T01:30:35.4705413Z { 2022-11-23T01:30:35.4705548Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4705715Z 'code': ['___check_obj_id(model, 140534623608048)'], 2022-11-23T01:30:35.4705932Z 'obj_weakref': 2022-11-23T01:30:35.4706162Z 'guarded_class': 2022-11-23T01:30:35.4706224Z } 2022-11-23T01:30:35.4706273Z 2022-11-23T01:30:35.4706342Z - 2022-11-23T01:30:35.4706462Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4706526Z { 2022-11-23T01:30:35.4706661Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4706877Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4706994Z 'obj_weakref': None 2022-11-23T01:30:35.4707203Z 'guarded_class': 2022-11-23T01:30:35.4707268Z } 2022-11-23T01:30:35.4707334Z 2022-11-23T01:30:35.4707403Z - 2022-11-23T01:30:35.4707548Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4707608Z { 2022-11-23T01:30:35.4707724Z 'guard_types': None, 2022-11-23T01:30:35.4707817Z 'code': None, 2022-11-23T01:30:35.4707932Z 'obj_weakref': None 2022-11-23T01:30:35.4708051Z 'guarded_class': None 2022-11-23T01:30:35.4708113Z } 2022-11-23T01:30:35.4708177Z 2022-11-23T01:30:35.4708244Z - 2022-11-23T01:30:35.4708375Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4708437Z { 2022-11-23T01:30:35.4708556Z 'guard_types': None, 2022-11-23T01:30:35.4708660Z 'code': None, 2022-11-23T01:30:35.4708774Z 'obj_weakref': None 2022-11-23T01:30:35.4708891Z 'guarded_class': None 2022-11-23T01:30:35.4708953Z } 2022-11-23T01:30:35.4709002Z 2022-11-23T01:30:35.4709260Z [2022-11-23 01:23:21,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91 2022-11-23T01:30:35.4709628Z [2022-11-23 01:23:22,534] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dm/cdmsqhbjm4su75pxsaybvry37ojfvoe3os3ye7j2skwrk2wc5nrs.py 2022-11-23T01:30:35.4709890Z [2022-11-23 01:23:22,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91 2022-11-23T01:30:35.4710123Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4710463Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4710681Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4710921Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4711189Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4711484Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4711823Z [2022-11-23 01:23:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4712165Z [2022-11-23 01:23:22,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4712409Z [2022-11-23 01:23:22,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4712643Z [2022-11-23 01:23:22,572] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4712894Z [2022-11-23 01:23:22,573] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4713146Z [2022-11-23 01:23:22,589] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4713331Z [2022-11-23 01:23:22,589] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4713464Z __compiled_fn_93 .757 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4713551Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4713641Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4713739Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4713744Z 2022-11-23T01:30:35.4714071Z [2022-11-23 01:23:22,589] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4714164Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4714252Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4714338Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4714428Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4714499Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4714587Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4714661Z 12 RETURN_VALUE 2022-11-23T01:30:35.4714666Z 2022-11-23T01:30:35.4714728Z 2022-11-23T01:30:35.4715051Z [2022-11-23 01:23:22,589] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4715159Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_93) 2022-11-23T01:30:35.4715249Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4715336Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4715398Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4715485Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4715573Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4715646Z 12 RETURN_VALUE 2022-11-23T01:30:35.4715651Z 2022-11-23T01:30:35.4715710Z 2022-11-23T01:30:35.4715889Z [2022-11-23 01:23:22,590] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4715958Z - 2022-11-23T01:30:35.4716063Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4716127Z { 2022-11-23T01:30:35.4716266Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4716450Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4716570Z 'obj_weakref': None 2022-11-23T01:30:35.4716820Z 'guarded_class': 2022-11-23T01:30:35.4716885Z } 2022-11-23T01:30:35.4716936Z 2022-11-23T01:30:35.4717005Z - 2022-11-23T01:30:35.4717128Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4717190Z { 2022-11-23T01:30:35.4717329Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4717433Z 'code': None, 2022-11-23T01:30:35.4717642Z 'obj_weakref': 2022-11-23T01:30:35.4717880Z 'guarded_class': 2022-11-23T01:30:35.4717943Z } 2022-11-23T01:30:35.4718005Z 2022-11-23T01:30:35.4718074Z - 2022-11-23T01:30:35.4718234Z local 'model' NN_MODULE 2022-11-23T01:30:35.4718296Z { 2022-11-23T01:30:35.4718429Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4718586Z 'code': ['___check_obj_id(model, 140534623616544)'], 2022-11-23T01:30:35.4718802Z 'obj_weakref': 2022-11-23T01:30:35.4719034Z 'guarded_class': 2022-11-23T01:30:35.4719097Z } 2022-11-23T01:30:35.4719159Z 2022-11-23T01:30:35.4719228Z - 2022-11-23T01:30:35.4719348Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4719398Z { 2022-11-23T01:30:35.4719532Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4719746Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4719861Z 'obj_weakref': None 2022-11-23T01:30:35.4720169Z 'guarded_class': 2022-11-23T01:30:35.4720236Z } 2022-11-23T01:30:35.4720298Z 2022-11-23T01:30:35.4720359Z - 2022-11-23T01:30:35.4720506Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4720568Z { 2022-11-23T01:30:35.4720686Z 'guard_types': None, 2022-11-23T01:30:35.4720794Z 'code': None, 2022-11-23T01:30:35.4720909Z 'obj_weakref': None 2022-11-23T01:30:35.4721028Z 'guarded_class': None 2022-11-23T01:30:35.4721079Z } 2022-11-23T01:30:35.4721142Z 2022-11-23T01:30:35.4721210Z - 2022-11-23T01:30:35.4721354Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4721416Z { 2022-11-23T01:30:35.4721534Z 'guard_types': None, 2022-11-23T01:30:35.4721637Z 'code': None, 2022-11-23T01:30:35.4721739Z 'obj_weakref': None 2022-11-23T01:30:35.4721861Z 'guarded_class': None 2022-11-23T01:30:35.4721922Z } 2022-11-23T01:30:35.4721983Z 2022-11-23T01:30:35.4722242Z [2022-11-23 01:23:22,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92 2022-11-23T01:30:35.4722248Z 2022-11-23T01:30:35.4722340Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4722408Z import torch 2022-11-23T01:30:35.4722464Z import random 2022-11-23T01:30:35.4722577Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4722698Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4722703Z 2022-11-23T01:30:35.4722783Z aten = torch.ops.aten 2022-11-23T01:30:35.4722916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4723006Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4723011Z 2022-11-23T01:30:35.4723015Z 2022-11-23T01:30:35.4723145Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4723353Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4723458Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4723594Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.4723656Z { 2022-11-23T01:30:35.4723754Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4723815Z { 2022-11-23T01:30:35.4723891Z #pragma omp for 2022-11-23T01:30:35.4723972Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.4724022Z { 2022-11-23T01:30:35.4724100Z #pragma GCC ivdep 2022-11-23T01:30:35.4724181Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4724243Z { 2022-11-23T01:30:35.4724323Z #pragma GCC ivdep 2022-11-23T01:30:35.4724414Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.4724477Z { 2022-11-23T01:30:35.4724530Z { 2022-11-23T01:30:35.4724597Z { 2022-11-23T01:30:35.4724880Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.4724988Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.4725056Z } 2022-11-23T01:30:35.4725122Z } 2022-11-23T01:30:35.4725186Z } 2022-11-23T01:30:35.4725235Z } 2022-11-23T01:30:35.4725296Z } 2022-11-23T01:30:35.4725357Z } 2022-11-23T01:30:35.4725417Z } 2022-11-23T01:30:35.4725498Z ''') 2022-11-23T01:30:35.4725503Z 2022-11-23T01:30:35.4725508Z 2022-11-23T01:30:35.4725595Z async_compile.wait(globals()) 2022-11-23T01:30:35.4725666Z del async_compile 2022-11-23T01:30:35.4725671Z 2022-11-23T01:30:35.4725727Z def call(args): 2022-11-23T01:30:35.4725846Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4725917Z args.clear() 2022-11-23T01:30:35.4726127Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4726262Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.4726330Z del arg0_1 2022-11-23T01:30:35.4726467Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4726565Z assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32)) 2022-11-23T01:30:35.4726631Z del arg1_1 2022-11-23T01:30:35.4726697Z del arg7_1 2022-11-23T01:30:35.4726767Z return (buf1, ) 2022-11-23T01:30:35.4726773Z 2022-11-23T01:30:35.4726777Z 2022-11-23T01:30:35.4726851Z if __name__ == "__main__": 2022-11-23T01:30:35.4726964Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4727084Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4727292Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4727471Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4727664Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4727850Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4728032Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4728221Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4728397Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4728614Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4728769Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4728774Z 2022-11-23T01:30:35.4728779Z 2022-11-23T01:30:35.4728871Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4728928Z import torch 2022-11-23T01:30:35.4728998Z import random 2022-11-23T01:30:35.4729116Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4729234Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4729239Z 2022-11-23T01:30:35.4729363Z aten = torch.ops.aten 2022-11-23T01:30:35.4729495Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4729586Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4729591Z 2022-11-23T01:30:35.4729595Z 2022-11-23T01:30:35.4729669Z async_compile.wait(globals()) 2022-11-23T01:30:35.4729740Z del async_compile 2022-11-23T01:30:35.4729744Z 2022-11-23T01:30:35.4729814Z def call(args): 2022-11-23T01:30:35.4729931Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4730002Z args.clear() 2022-11-23T01:30:35.4730135Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.4730245Z assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1)) 2022-11-23T01:30:35.4730313Z del arg0_1 2022-11-23T01:30:35.4730407Z del arg1_1 2022-11-23T01:30:35.4730473Z del arg7_1 2022-11-23T01:30:35.4730544Z return (buf0, ) 2022-11-23T01:30:35.4730548Z 2022-11-23T01:30:35.4730552Z 2022-11-23T01:30:35.4730630Z if __name__ == "__main__": 2022-11-23T01:30:35.4730744Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4730866Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4731079Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4731259Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4731450Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4731637Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4731827Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4732015Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4732196Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4732422Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4732578Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4732583Z 2022-11-23T01:30:35.4732587Z 2022-11-23T01:30:35.4732682Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4732739Z import torch 2022-11-23T01:30:35.4732810Z import random 2022-11-23T01:30:35.4732926Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4733048Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4733053Z 2022-11-23T01:30:35.4733129Z aten = torch.ops.aten 2022-11-23T01:30:35.4733262Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4733351Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4733358Z 2022-11-23T01:30:35.4733363Z 2022-11-23T01:30:35.4733494Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4733688Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4733809Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4733907Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.4733968Z { 2022-11-23T01:30:35.4734067Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4734128Z { 2022-11-23T01:30:35.4734204Z #pragma omp for 2022-11-23T01:30:35.4734275Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.4734338Z { 2022-11-23T01:30:35.4734418Z #pragma GCC ivdep 2022-11-23T01:30:35.4734503Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4734566Z { 2022-11-23T01:30:35.4734646Z #pragma GCC ivdep 2022-11-23T01:30:35.4734735Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.4734789Z { 2022-11-23T01:30:35.4734854Z { 2022-11-23T01:30:35.4734923Z { 2022-11-23T01:30:35.4735060Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.4735166Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.4735234Z } 2022-11-23T01:30:35.4735299Z } 2022-11-23T01:30:35.4735351Z } 2022-11-23T01:30:35.4735414Z } 2022-11-23T01:30:35.4735478Z } 2022-11-23T01:30:35.4735539Z } 2022-11-23T01:30:35.4735600Z } 2022-11-23T01:30:35.4735679Z ''') 2022-11-23T01:30:35.4735684Z 2022-11-23T01:30:35.4735688Z 2022-11-23T01:30:35.4735762Z async_compile.wait(globals()) 2022-11-23T01:30:35.4735834Z del async_compile 2022-11-23T01:30:35.4735839Z 2022-11-23T01:30:35.4735909Z def call(args): 2022-11-23T01:30:35.4736027Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4736128Z args.clear() 2022-11-23T01:30:35.4736340Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4736475Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.4736544Z del arg0_1 2022-11-23T01:30:35.4736664Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.4736776Z assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128)) 2022-11-23T01:30:35.4736843Z del arg1_1 2022-11-23T01:30:35.4736908Z del arg7_1 2022-11-23T01:30:35.4736978Z return (buf1, ) 2022-11-23T01:30:35.4736983Z 2022-11-23T01:30:35.4736987Z 2022-11-23T01:30:35.4737064Z if __name__ == "__main__": 2022-11-23T01:30:35.4737178Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4737300Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4737495Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4737691Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4737882Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4738070Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4738254Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4738443Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4738621Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4738843Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4738985Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4738990Z 2022-11-23T01:30:35.4739359Z [2022-11-23 01:23:22,605] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py 2022-11-23T01:30:35.4739628Z [2022-11-23 01:23:22,605] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92 2022-11-23T01:30:35.4739865Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4740178Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4740393Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4740633Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4740899Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4741212Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4741575Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4741879Z [2022-11-23 01:23:22,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4742126Z [2022-11-23 01:23:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4742358Z [2022-11-23 01:23:22,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4742611Z [2022-11-23 01:23:22,629] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4742856Z [2022-11-23 01:23:22,645] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4743086Z [2022-11-23 01:23:22,645] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4743220Z __compiled_fn_94 .768 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4743308Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4743394Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4743491Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4743496Z 2022-11-23T01:30:35.4743817Z [2022-11-23 01:23:22,646] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4743909Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4743998Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4744083Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4744172Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4744255Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4744332Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4744406Z 12 RETURN_VALUE 2022-11-23T01:30:35.4744412Z 2022-11-23T01:30:35.4744475Z 2022-11-23T01:30:35.4744800Z [2022-11-23 01:23:22,646] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4744908Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_94) 2022-11-23T01:30:35.4744995Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4745082Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4745157Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4745232Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4745320Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4745393Z 12 RETURN_VALUE 2022-11-23T01:30:35.4745398Z 2022-11-23T01:30:35.4745458Z 2022-11-23T01:30:35.4745637Z [2022-11-23 01:23:22,647] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4745709Z - 2022-11-23T01:30:35.4745826Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4745878Z { 2022-11-23T01:30:35.4746021Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4746206Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4746325Z 'obj_weakref': None 2022-11-23T01:30:35.4746546Z 'guarded_class': 2022-11-23T01:30:35.4746609Z } 2022-11-23T01:30:35.4746673Z 2022-11-23T01:30:35.4746729Z - 2022-11-23T01:30:35.4746853Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4746916Z { 2022-11-23T01:30:35.4747060Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4747165Z 'code': None, 2022-11-23T01:30:35.4747375Z 'obj_weakref': 2022-11-23T01:30:35.4747629Z 'guarded_class': 2022-11-23T01:30:35.4747706Z } 2022-11-23T01:30:35.4747770Z 2022-11-23T01:30:35.4747838Z - 2022-11-23T01:30:35.4747957Z local 'model' NN_MODULE 2022-11-23T01:30:35.4748019Z { 2022-11-23T01:30:35.4748152Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4748319Z 'code': ['___check_obj_id(model, 140534623616544)'], 2022-11-23T01:30:35.4748522Z 'obj_weakref': 2022-11-23T01:30:35.4748753Z 'guarded_class': 2022-11-23T01:30:35.4748816Z } 2022-11-23T01:30:35.4748878Z 2022-11-23T01:30:35.4748946Z - 2022-11-23T01:30:35.4749067Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4749156Z { 2022-11-23T01:30:35.4749279Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4749495Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4749612Z 'obj_weakref': None 2022-11-23T01:30:35.4749833Z 'guarded_class': 2022-11-23T01:30:35.4749894Z } 2022-11-23T01:30:35.4749956Z 2022-11-23T01:30:35.4750025Z - 2022-11-23T01:30:35.4750156Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4750217Z { 2022-11-23T01:30:35.4750335Z 'guard_types': None, 2022-11-23T01:30:35.4750441Z 'code': None, 2022-11-23T01:30:35.4750557Z 'obj_weakref': None 2022-11-23T01:30:35.4750675Z 'guarded_class': None 2022-11-23T01:30:35.4750736Z } 2022-11-23T01:30:35.4750787Z 2022-11-23T01:30:35.4750860Z - 2022-11-23T01:30:35.4751004Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4751066Z { 2022-11-23T01:30:35.4751183Z 'guard_types': None, 2022-11-23T01:30:35.4751289Z 'code': None, 2022-11-23T01:30:35.4751404Z 'obj_weakref': None 2022-11-23T01:30:35.4751510Z 'guarded_class': None 2022-11-23T01:30:35.4751572Z } 2022-11-23T01:30:35.4751634Z 2022-11-23T01:30:35.4751890Z [2022-11-23 01:23:22,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93 2022-11-23T01:30:35.4752254Z [2022-11-23 01:23:22,669] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuipih7pf3lvp3pbk4g5kigatr5l2wfnrs233pvvjgwj6vzz6kni.py 2022-11-23T01:30:35.4752513Z [2022-11-23 01:23:22,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93 2022-11-23T01:30:35.4752747Z [2022-11-23 01:23:22,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4753064Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4753268Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4753509Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4753774Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4754082Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4754416Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4754727Z [2022-11-23 01:23:22,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4755000Z [2022-11-23 01:23:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4755236Z [2022-11-23 01:23:22,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4755487Z [2022-11-23 01:23:22,695] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4755729Z [2022-11-23 01:23:22,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4755905Z [2022-11-23 01:23:22,713] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4756036Z __compiled_fn_95 .779 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4756127Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4756260Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4756359Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4756364Z 2022-11-23T01:30:35.4756689Z [2022-11-23 01:23:22,713] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4756780Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4756869Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4756942Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4757033Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4757115Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4757202Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4757277Z 12 RETURN_VALUE 2022-11-23T01:30:35.4757282Z 2022-11-23T01:30:35.4757342Z 2022-11-23T01:30:35.4757670Z [2022-11-23 01:23:22,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4757779Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_95) 2022-11-23T01:30:35.4757858Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4757945Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4758021Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4758107Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4758196Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4758269Z 12 RETURN_VALUE 2022-11-23T01:30:35.4758274Z 2022-11-23T01:30:35.4758333Z 2022-11-23T01:30:35.4758501Z [2022-11-23 01:23:22,714] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4758571Z - 2022-11-23T01:30:35.4758690Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4758752Z { 2022-11-23T01:30:35.4758889Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4759074Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4759195Z 'obj_weakref': None 2022-11-23T01:30:35.4759408Z 'guarded_class': 2022-11-23T01:30:35.4759474Z } 2022-11-23T01:30:35.4759537Z 2022-11-23T01:30:35.4759605Z - 2022-11-23T01:30:35.4759726Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4759789Z { 2022-11-23T01:30:35.4759928Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4760115Z 'code': None, 2022-11-23T01:30:35.4760332Z 'obj_weakref': 2022-11-23T01:30:35.4760583Z 'guarded_class': 2022-11-23T01:30:35.4760645Z } 2022-11-23T01:30:35.4760708Z 2022-11-23T01:30:35.4760777Z - 2022-11-23T01:30:35.4760896Z local 'model' NN_MODULE 2022-11-23T01:30:35.4760949Z { 2022-11-23T01:30:35.4761083Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4761284Z 'code': ['___check_obj_id(model, 140534429298944)'], 2022-11-23T01:30:35.4761503Z 'obj_weakref': 2022-11-23T01:30:35.4761733Z 'guarded_class': 2022-11-23T01:30:35.4761796Z } 2022-11-23T01:30:35.4761858Z 2022-11-23T01:30:35.4761913Z - 2022-11-23T01:30:35.4762034Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4762098Z { 2022-11-23T01:30:35.4762254Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4762570Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4762695Z 'obj_weakref': None 2022-11-23T01:30:35.4762916Z 'guarded_class': 2022-11-23T01:30:35.4763005Z } 2022-11-23T01:30:35.4763071Z 2022-11-23T01:30:35.4763142Z - 2022-11-23T01:30:35.4763288Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4763351Z { 2022-11-23T01:30:35.4763467Z 'guard_types': None, 2022-11-23T01:30:35.4763572Z 'code': None, 2022-11-23T01:30:35.4763676Z 'obj_weakref': None 2022-11-23T01:30:35.4763796Z 'guarded_class': None 2022-11-23T01:30:35.4763857Z } 2022-11-23T01:30:35.4763918Z 2022-11-23T01:30:35.4763985Z - 2022-11-23T01:30:35.4764129Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4764178Z { 2022-11-23T01:30:35.4764294Z 'guard_types': None, 2022-11-23T01:30:35.4764398Z 'code': None, 2022-11-23T01:30:35.4764515Z 'obj_weakref': None 2022-11-23T01:30:35.4764638Z 'guarded_class': None 2022-11-23T01:30:35.4764700Z } 2022-11-23T01:30:35.4764855Z 2022-11-23T01:30:35.4765105Z [2022-11-23 01:23:22,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94 2022-11-23T01:30:35.4765469Z [2022-11-23 01:23:22,729] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py 2022-11-23T01:30:35.4765729Z [2022-11-23 01:23:22,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94 2022-11-23T01:30:35.4765962Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4766278Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4766492Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4766737Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4767005Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4767315Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4767649Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4767945Z [2022-11-23 01:23:22,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4768190Z [2022-11-23 01:23:22,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4768422Z [2022-11-23 01:23:22,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4768730Z [2022-11-23 01:23:22,769] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4768978Z [2022-11-23 01:23:22,785] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4769167Z [2022-11-23 01:23:22,786] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4769299Z __compiled_fn_96 .790 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4769388Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4769487Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4769573Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4769578Z 2022-11-23T01:30:35.4769899Z [2022-11-23 01:23:22,786] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4770030Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4770122Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4770210Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4770301Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4770385Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4770473Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4770535Z 12 RETURN_VALUE 2022-11-23T01:30:35.4770540Z 2022-11-23T01:30:35.4770602Z 2022-11-23T01:30:35.4770929Z [2022-11-23 01:23:22,786] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4771035Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_96) 2022-11-23T01:30:35.4771126Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4771213Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4771287Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4771365Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4771453Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4771530Z 12 RETURN_VALUE 2022-11-23T01:30:35.4771534Z 2022-11-23T01:30:35.4771594Z 2022-11-23T01:30:35.4771777Z [2022-11-23 01:23:22,787] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4771848Z - 2022-11-23T01:30:35.4771966Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4772016Z { 2022-11-23T01:30:35.4772155Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4772339Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4772459Z 'obj_weakref': None 2022-11-23T01:30:35.4772682Z 'guarded_class': 2022-11-23T01:30:35.4772746Z } 2022-11-23T01:30:35.4772809Z 2022-11-23T01:30:35.4772864Z - 2022-11-23T01:30:35.4773004Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4773099Z { 2022-11-23T01:30:35.4773309Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4773435Z 'code': None, 2022-11-23T01:30:35.4773718Z 'obj_weakref': 2022-11-23T01:30:35.4773969Z 'guarded_class': 2022-11-23T01:30:35.4774033Z } 2022-11-23T01:30:35.4774083Z 2022-11-23T01:30:35.4774152Z - 2022-11-23T01:30:35.4774271Z local 'model' NN_MODULE 2022-11-23T01:30:35.4774333Z { 2022-11-23T01:30:35.4774467Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4774634Z 'code': ['___check_obj_id(model, 140534429298944)'], 2022-11-23T01:30:35.4774838Z 'obj_weakref': 2022-11-23T01:30:35.4775076Z 'guarded_class': 2022-11-23T01:30:35.4775140Z } 2022-11-23T01:30:35.4775246Z 2022-11-23T01:30:35.4775317Z - 2022-11-23T01:30:35.4775438Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4775501Z { 2022-11-23T01:30:35.4775624Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4775839Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4775956Z 'obj_weakref': None 2022-11-23T01:30:35.4776178Z 'guarded_class': 2022-11-23T01:30:35.4776244Z } 2022-11-23T01:30:35.4776306Z 2022-11-23T01:30:35.4776375Z - 2022-11-23T01:30:35.4776507Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4776569Z { 2022-11-23T01:30:35.4776720Z 'guard_types': None, 2022-11-23T01:30:35.4776827Z 'code': None, 2022-11-23T01:30:35.4776943Z 'obj_weakref': None 2022-11-23T01:30:35.4777065Z 'guarded_class': None 2022-11-23T01:30:35.4777128Z } 2022-11-23T01:30:35.4777177Z 2022-11-23T01:30:35.4777246Z - 2022-11-23T01:30:35.4777389Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4777451Z { 2022-11-23T01:30:35.4777568Z 'guard_types': None, 2022-11-23T01:30:35.4777672Z 'code': None, 2022-11-23T01:30:35.4777788Z 'obj_weakref': None 2022-11-23T01:30:35.4777895Z 'guarded_class': None 2022-11-23T01:30:35.4777962Z } 2022-11-23T01:30:35.4778026Z 2022-11-23T01:30:35.4778285Z [2022-11-23 01:23:22,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95 2022-11-23T01:30:35.4778291Z 2022-11-23T01:30:35.4778383Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4778454Z import torch 2022-11-23T01:30:35.4778524Z import random 2022-11-23T01:30:35.4778626Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4778750Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4778755Z 2022-11-23T01:30:35.4778834Z aten = torch.ops.aten 2022-11-23T01:30:35.4778973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4779065Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4779070Z 2022-11-23T01:30:35.4779074Z 2022-11-23T01:30:35.4779161Z async_compile.wait(globals()) 2022-11-23T01:30:35.4779232Z del async_compile 2022-11-23T01:30:35.4779237Z 2022-11-23T01:30:35.4779306Z def call(args): 2022-11-23T01:30:35.4779412Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4779483Z args.clear() 2022-11-23T01:30:35.4779617Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.4779732Z assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1)) 2022-11-23T01:30:35.4779800Z del arg0_1 2022-11-23T01:30:35.4779865Z del arg1_1 2022-11-23T01:30:35.4779933Z del arg7_1 2022-11-23T01:30:35.4779991Z return (buf0, ) 2022-11-23T01:30:35.4780009Z 2022-11-23T01:30:35.4780014Z 2022-11-23T01:30:35.4780076Z if __name__ == "__main__": 2022-11-23T01:30:35.4780190Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4780313Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4780525Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4780716Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4780904Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4781090Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4781264Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4781449Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4781657Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4781883Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4782038Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4782044Z 2022-11-23T01:30:35.4782048Z 2022-11-23T01:30:35.4782141Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4782209Z import torch 2022-11-23T01:30:35.4782279Z import random 2022-11-23T01:30:35.4782392Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4782500Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4782504Z 2022-11-23T01:30:35.4782580Z aten = torch.ops.aten 2022-11-23T01:30:35.4787943Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4788169Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4788175Z 2022-11-23T01:30:35.4788180Z 2022-11-23T01:30:35.4788364Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4788575Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4788683Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4788784Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.4788847Z { 2022-11-23T01:30:35.4788947Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4789009Z { 2022-11-23T01:30:35.4789089Z #pragma omp for 2022-11-23T01:30:35.4789175Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.4789225Z { 2022-11-23T01:30:35.4789308Z #pragma GCC ivdep 2022-11-23T01:30:35.4789389Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4789454Z { 2022-11-23T01:30:35.4789539Z #pragma GCC ivdep 2022-11-23T01:30:35.4789626Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.4789689Z { 2022-11-23T01:30:35.4789746Z { 2022-11-23T01:30:35.4789814Z { 2022-11-23T01:30:35.4789927Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.4790031Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.4790098Z } 2022-11-23T01:30:35.4790169Z } 2022-11-23T01:30:35.4790232Z } 2022-11-23T01:30:35.4790283Z } 2022-11-23T01:30:35.4790343Z } 2022-11-23T01:30:35.4790405Z } 2022-11-23T01:30:35.4790464Z } 2022-11-23T01:30:35.4790542Z ''') 2022-11-23T01:30:35.4790548Z 2022-11-23T01:30:35.4790552Z 2022-11-23T01:30:35.4790641Z async_compile.wait(globals()) 2022-11-23T01:30:35.4790712Z del async_compile 2022-11-23T01:30:35.4790716Z 2022-11-23T01:30:35.4790776Z def call(args): 2022-11-23T01:30:35.4790897Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4790967Z args.clear() 2022-11-23T01:30:35.4791183Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4791318Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.4791384Z del arg0_1 2022-11-23T01:30:35.4791515Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.4791612Z assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32)) 2022-11-23T01:30:35.4791679Z del arg1_1 2022-11-23T01:30:35.4791748Z del arg7_1 2022-11-23T01:30:35.4791816Z return (buf1, ) 2022-11-23T01:30:35.4791821Z 2022-11-23T01:30:35.4791826Z 2022-11-23T01:30:35.4791901Z if __name__ == "__main__": 2022-11-23T01:30:35.4792015Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4792137Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4792350Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4792568Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4792758Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4792945Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4793132Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4793316Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4793493Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4793709Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4793863Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4793898Z 2022-11-23T01:30:35.4793902Z 2022-11-23T01:30:35.4793997Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4794054Z import torch 2022-11-23T01:30:35.4794125Z import random 2022-11-23T01:30:35.4794237Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4794357Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4794362Z 2022-11-23T01:30:35.4794438Z aten = torch.ops.aten 2022-11-23T01:30:35.4794569Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4794659Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4794664Z 2022-11-23T01:30:35.4794669Z 2022-11-23T01:30:35.4794743Z async_compile.wait(globals()) 2022-11-23T01:30:35.4794817Z del async_compile 2022-11-23T01:30:35.4794821Z 2022-11-23T01:30:35.4794892Z def call(args): 2022-11-23T01:30:35.4795009Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4795081Z args.clear() 2022-11-23T01:30:35.4795217Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.4795328Z assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1)) 2022-11-23T01:30:35.4795395Z del arg0_1 2022-11-23T01:30:35.4795447Z del arg1_1 2022-11-23T01:30:35.4795513Z del arg7_1 2022-11-23T01:30:35.4795583Z return (buf0, ) 2022-11-23T01:30:35.4795588Z 2022-11-23T01:30:35.4795592Z 2022-11-23T01:30:35.4795666Z if __name__ == "__main__": 2022-11-23T01:30:35.4795783Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4795904Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4796117Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4796296Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4796487Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4796679Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4796865Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4797051Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4797228Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4797454Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4797611Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4797617Z 2022-11-23T01:30:35.4797996Z [2022-11-23 01:23:22,808] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fr/cfr2e4xesehmsc6amykaufpyuhvaqrlddzrpe5vdgtbtpql62nfz.py 2022-11-23T01:30:35.4798247Z [2022-11-23 01:23:22,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95 2022-11-23T01:30:35.4798490Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4798834Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4799052Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4799292Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4799558Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4799870Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4800303Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4800653Z [2022-11-23 01:23:22,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4800901Z [2022-11-23 01:23:22,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4801121Z [2022-11-23 01:23:22,843] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4801371Z [2022-11-23 01:23:22,843] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4801619Z [2022-11-23 01:23:22,858] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4801808Z [2022-11-23 01:23:22,859] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4801942Z __compiled_fn_97 .801 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4802035Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4802138Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4802237Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4802245Z 2022-11-23T01:30:35.4802571Z [2022-11-23 01:23:22,859] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4802651Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4802742Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4802828Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4802921Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4803004Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4803091Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4803168Z 12 RETURN_VALUE 2022-11-23T01:30:35.4803173Z 2022-11-23T01:30:35.4803223Z 2022-11-23T01:30:35.4803545Z [2022-11-23 01:23:22,859] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4803657Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_97) 2022-11-23T01:30:35.4803746Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4803836Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4803910Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4803999Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4804087Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4804149Z 12 RETURN_VALUE 2022-11-23T01:30:35.4804154Z 2022-11-23T01:30:35.4804215Z 2022-11-23T01:30:35.4804396Z [2022-11-23 01:23:22,860] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4804467Z - 2022-11-23T01:30:35.4804587Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4804653Z { 2022-11-23T01:30:35.4804972Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4805149Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4805267Z 'obj_weakref': None 2022-11-23T01:30:35.4805554Z 'guarded_class': 2022-11-23T01:30:35.4805623Z } 2022-11-23T01:30:35.4805687Z 2022-11-23T01:30:35.4805760Z - 2022-11-23T01:30:35.4805885Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4805935Z { 2022-11-23T01:30:35.4806078Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4806184Z 'code': None, 2022-11-23T01:30:35.4806399Z 'obj_weakref': 2022-11-23T01:30:35.4806656Z 'guarded_class': 2022-11-23T01:30:35.4806722Z } 2022-11-23T01:30:35.4806786Z 2022-11-23T01:30:35.4806879Z - 2022-11-23T01:30:35.4807002Z local 'model' NN_MODULE 2022-11-23T01:30:35.4807066Z { 2022-11-23T01:30:35.4807199Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4807367Z 'code': ['___check_obj_id(model, 140534620820368)'], 2022-11-23T01:30:35.4807585Z 'obj_weakref': 2022-11-23T01:30:35.4807816Z 'guarded_class': 2022-11-23T01:30:35.4807867Z } 2022-11-23T01:30:35.4807928Z 2022-11-23T01:30:35.4807998Z - 2022-11-23T01:30:35.4808118Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4808179Z { 2022-11-23T01:30:35.4808312Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4808525Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4808633Z 'obj_weakref': None 2022-11-23T01:30:35.4808853Z 'guarded_class': 2022-11-23T01:30:35.4808915Z } 2022-11-23T01:30:35.4808982Z 2022-11-23T01:30:35.4809053Z - 2022-11-23T01:30:35.4809196Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4809259Z { 2022-11-23T01:30:35.4809364Z 'guard_types': None, 2022-11-23T01:30:35.4809469Z 'code': None, 2022-11-23T01:30:35.4809585Z 'obj_weakref': None 2022-11-23T01:30:35.4809705Z 'guarded_class': None 2022-11-23T01:30:35.4809768Z } 2022-11-23T01:30:35.4809830Z 2022-11-23T01:30:35.4809899Z - 2022-11-23T01:30:35.4810029Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4810091Z { 2022-11-23T01:30:35.4810207Z 'guard_types': None, 2022-11-23T01:30:35.4810310Z 'code': None, 2022-11-23T01:30:35.4810427Z 'obj_weakref': None 2022-11-23T01:30:35.4810545Z 'guarded_class': None 2022-11-23T01:30:35.4810594Z } 2022-11-23T01:30:35.4810657Z 2022-11-23T01:30:35.4810915Z [2022-11-23 01:23:22,869] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96 2022-11-23T01:30:35.4811278Z [2022-11-23 01:23:22,874] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py 2022-11-23T01:30:35.4811538Z [2022-11-23 01:23:22,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96 2022-11-23T01:30:35.4811774Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4812086Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4812303Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4812574Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4812831Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4813139Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4813476Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4813787Z [2022-11-23 01:23:22,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4814033Z [2022-11-23 01:23:22,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4814296Z [2022-11-23 01:23:22,897] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4814551Z [2022-11-23 01:23:22,898] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4814797Z [2022-11-23 01:23:22,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4814983Z [2022-11-23 01:23:22,913] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4815114Z __compiled_fn_98 .812 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4815191Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4815290Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4815389Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4815395Z 2022-11-23T01:30:35.4815720Z [2022-11-23 01:23:22,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4815816Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4815908Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4815995Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4816086Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4816157Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4816246Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4816321Z 12 RETURN_VALUE 2022-11-23T01:30:35.4816327Z 2022-11-23T01:30:35.4816387Z 2022-11-23T01:30:35.4816709Z [2022-11-23 01:23:22,914] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4816814Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_98) 2022-11-23T01:30:35.4816903Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4816980Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4817058Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4817144Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4817234Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4817309Z 12 RETURN_VALUE 2022-11-23T01:30:35.4817314Z 2022-11-23T01:30:35.4817373Z 2022-11-23T01:30:35.4817554Z [2022-11-23 01:23:22,915] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4817612Z - 2022-11-23T01:30:35.4817728Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4817792Z { 2022-11-23T01:30:35.4817931Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4818117Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4818234Z 'obj_weakref': None 2022-11-23T01:30:35.4818458Z 'guarded_class': 2022-11-23T01:30:35.4818520Z } 2022-11-23T01:30:35.4818573Z 2022-11-23T01:30:35.4818644Z - 2022-11-23T01:30:35.4818768Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4818829Z { 2022-11-23T01:30:35.4818998Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4819106Z 'code': None, 2022-11-23T01:30:35.4819304Z 'obj_weakref': 2022-11-23T01:30:35.4819555Z 'guarded_class': 2022-11-23T01:30:35.4819618Z } 2022-11-23T01:30:35.4819680Z 2022-11-23T01:30:35.4819751Z - 2022-11-23T01:30:35.4819870Z local 'model' NN_MODULE 2022-11-23T01:30:35.4819932Z { 2022-11-23T01:30:35.4820053Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4820219Z 'code': ['___check_obj_id(model, 140534620820368)'], 2022-11-23T01:30:35.4820435Z 'obj_weakref': 2022-11-23T01:30:35.4820700Z 'guarded_class': 2022-11-23T01:30:35.4820762Z } 2022-11-23T01:30:35.4820826Z 2022-11-23T01:30:35.4820894Z - 2022-11-23T01:30:35.4821001Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4821062Z { 2022-11-23T01:30:35.4821196Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4821410Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4821527Z 'obj_weakref': None 2022-11-23T01:30:35.4821748Z 'guarded_class': 2022-11-23T01:30:35.4821811Z } 2022-11-23T01:30:35.4821873Z 2022-11-23T01:30:35.4821929Z - 2022-11-23T01:30:35.4822071Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4822135Z { 2022-11-23T01:30:35.4822253Z 'guard_types': None, 2022-11-23T01:30:35.4822360Z 'code': None, 2022-11-23T01:30:35.4822478Z 'obj_weakref': None 2022-11-23T01:30:35.4822586Z 'guarded_class': None 2022-11-23T01:30:35.4822647Z } 2022-11-23T01:30:35.4822708Z 2022-11-23T01:30:35.4822775Z - 2022-11-23T01:30:35.4822917Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4822978Z { 2022-11-23T01:30:35.4823093Z 'guard_types': None, 2022-11-23T01:30:35.4823183Z 'code': None, 2022-11-23T01:30:35.4823300Z 'obj_weakref': None 2022-11-23T01:30:35.4823418Z 'guarded_class': None 2022-11-23T01:30:35.4823480Z } 2022-11-23T01:30:35.4823542Z 2022-11-23T01:30:35.4823796Z [2022-11-23 01:23:22,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97 2022-11-23T01:30:35.4824167Z [2022-11-23 01:23:22,929] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py 2022-11-23T01:30:35.4824428Z [2022-11-23 01:23:22,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97 2022-11-23T01:30:35.4824651Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4824963Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4825178Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4825419Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4825682Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4825991Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4826355Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4826662Z [2022-11-23 01:23:22,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4826908Z [2022-11-23 01:23:22,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4827128Z [2022-11-23 01:23:22,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4827378Z [2022-11-23 01:23:22,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4827622Z [2022-11-23 01:23:22,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4827849Z [2022-11-23 01:23:22,971] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4827983Z __compiled_fn_99 .823 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4828072Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4828169Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4828267Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4828272Z 2022-11-23T01:30:35.4828594Z [2022-11-23 01:23:22,971] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4828674Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4828764Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4828849Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4828937Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4829028Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4829113Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4829189Z 12 RETURN_VALUE 2022-11-23T01:30:35.4829194Z 2022-11-23T01:30:35.4829242Z 2022-11-23T01:30:35.4829564Z [2022-11-23 01:23:22,971] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4829670Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_99) 2022-11-23T01:30:35.4829756Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4829845Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4829921Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4830007Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4830094Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4830155Z 12 RETURN_VALUE 2022-11-23T01:30:35.4830160Z 2022-11-23T01:30:35.4830221Z 2022-11-23T01:30:35.4830403Z [2022-11-23 01:23:22,972] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4830473Z - 2022-11-23T01:30:35.4830591Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4830655Z { 2022-11-23T01:30:35.4830794Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4830965Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4831081Z 'obj_weakref': None 2022-11-23T01:30:35.4831305Z 'guarded_class': 2022-11-23T01:30:35.4831369Z } 2022-11-23T01:30:35.4831430Z 2022-11-23T01:30:35.4831498Z - 2022-11-23T01:30:35.4831621Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4831670Z { 2022-11-23T01:30:35.4831810Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4831915Z 'code': None, 2022-11-23T01:30:35.4832130Z 'obj_weakref': 2022-11-23T01:30:35.4832432Z 'guarded_class': 2022-11-23T01:30:35.4832497Z } 2022-11-23T01:30:35.4832558Z 2022-11-23T01:30:35.4832616Z - 2022-11-23T01:30:35.4832736Z local 'model' NN_MODULE 2022-11-23T01:30:35.4832798Z { 2022-11-23T01:30:35.4832931Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4833098Z 'code': ['___check_obj_id(model, 140534432388128)'], 2022-11-23T01:30:35.4833315Z 'obj_weakref': 2022-11-23T01:30:35.4833547Z 'guarded_class': 2022-11-23T01:30:35.4833599Z } 2022-11-23T01:30:35.4833659Z 2022-11-23T01:30:35.4833728Z - 2022-11-23T01:30:35.4833885Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4833953Z { 2022-11-23T01:30:35.4834087Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4834308Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4834413Z 'obj_weakref': None 2022-11-23T01:30:35.4834634Z 'guarded_class': 2022-11-23T01:30:35.4834695Z } 2022-11-23T01:30:35.4834757Z 2022-11-23T01:30:35.4834823Z - 2022-11-23T01:30:35.4834968Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4835029Z { 2022-11-23T01:30:35.4835134Z 'guard_types': None, 2022-11-23T01:30:35.4835239Z 'code': None, 2022-11-23T01:30:35.4835355Z 'obj_weakref': None 2022-11-23T01:30:35.4835473Z 'guarded_class': None 2022-11-23T01:30:35.4835536Z } 2022-11-23T01:30:35.4835601Z 2022-11-23T01:30:35.4835669Z - 2022-11-23T01:30:35.4835800Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4835860Z { 2022-11-23T01:30:35.4835980Z 'guard_types': None, 2022-11-23T01:30:35.4836082Z 'code': None, 2022-11-23T01:30:35.4836198Z 'obj_weakref': None 2022-11-23T01:30:35.4836316Z 'guarded_class': None 2022-11-23T01:30:35.4836380Z } 2022-11-23T01:30:35.4836430Z 2022-11-23T01:30:35.4836683Z [2022-11-23 01:23:22,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98 2022-11-23T01:30:35.4837052Z [2022-11-23 01:23:22,986] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py 2022-11-23T01:30:35.4837311Z [2022-11-23 01:23:22,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98 2022-11-23T01:30:35.4837546Z [2022-11-23 01:23:23,020] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4837860Z [2022-11-23 01:23:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4838077Z [2022-11-23 01:23:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4838317Z [2022-11-23 01:23:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4838569Z [2022-11-23 01:23:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4838878Z [2022-11-23 01:23:23,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4839210Z [2022-11-23 01:23:23,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4839563Z [2022-11-23 01:23:23,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4839810Z [2022-11-23 01:23:23,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4840125Z [2022-11-23 01:23:23,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4840386Z [2022-11-23 01:23:23,036] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4840632Z [2022-11-23 01:23:23,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4840822Z [2022-11-23 01:23:23,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4873661Z __compiled_fn_100 .834 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4873746Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4873993Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4874092Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4874101Z 2022-11-23T01:30:35.4874473Z [2022-11-23 01:23:23,052] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4874569Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4874660Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4874748Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4874840Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4874912Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4875002Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4875077Z 12 RETURN_VALUE 2022-11-23T01:30:35.4875082Z 2022-11-23T01:30:35.4875143Z 2022-11-23T01:30:35.4875467Z [2022-11-23 01:23:23,052] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4875581Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_100) 2022-11-23T01:30:35.4875673Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4875762Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4875825Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4875912Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4876003Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4876077Z 12 RETURN_VALUE 2022-11-23T01:30:35.4876082Z 2022-11-23T01:30:35.4876143Z 2022-11-23T01:30:35.4876324Z [2022-11-23 01:23:23,052] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4876397Z - 2022-11-23T01:30:35.4876501Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4876565Z { 2022-11-23T01:30:35.4876706Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4876893Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4877011Z 'obj_weakref': None 2022-11-23T01:30:35.4877237Z 'guarded_class': 2022-11-23T01:30:35.4877301Z } 2022-11-23T01:30:35.4877353Z 2022-11-23T01:30:35.4877421Z - 2022-11-23T01:30:35.4877545Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4877609Z { 2022-11-23T01:30:35.4877751Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4877856Z 'code': None, 2022-11-23T01:30:35.4878066Z 'obj_weakref': 2022-11-23T01:30:35.4878307Z 'guarded_class': 2022-11-23T01:30:35.4878369Z } 2022-11-23T01:30:35.4878435Z 2022-11-23T01:30:35.4878506Z - 2022-11-23T01:30:35.4878626Z local 'model' NN_MODULE 2022-11-23T01:30:35.4878688Z { 2022-11-23T01:30:35.4878823Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4879028Z 'code': ['___check_obj_id(model, 140534432388128)'], 2022-11-23T01:30:35.4879252Z 'obj_weakref': 2022-11-23T01:30:35.4879487Z 'guarded_class': 2022-11-23T01:30:35.4879549Z } 2022-11-23T01:30:35.4879611Z 2022-11-23T01:30:35.4879678Z - 2022-11-23T01:30:35.4879802Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4879851Z { 2022-11-23T01:30:35.4880086Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4880309Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4880428Z 'obj_weakref': None 2022-11-23T01:30:35.4880683Z 'guarded_class': 2022-11-23T01:30:35.4880747Z } 2022-11-23T01:30:35.4880812Z 2022-11-23T01:30:35.4880869Z - 2022-11-23T01:30:35.4881015Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4881078Z { 2022-11-23T01:30:35.4881196Z 'guard_types': None, 2022-11-23T01:30:35.4881302Z 'code': None, 2022-11-23T01:30:35.4881420Z 'obj_weakref': None 2022-11-23T01:30:35.4881542Z 'guarded_class': None 2022-11-23T01:30:35.4881591Z } 2022-11-23T01:30:35.4881653Z 2022-11-23T01:30:35.4881721Z - 2022-11-23T01:30:35.4881870Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4881932Z { 2022-11-23T01:30:35.4882050Z 'guard_types': None, 2022-11-23T01:30:35.4882156Z 'code': None, 2022-11-23T01:30:35.4882261Z 'obj_weakref': None 2022-11-23T01:30:35.4882382Z 'guarded_class': None 2022-11-23T01:30:35.4882445Z } 2022-11-23T01:30:35.4882506Z 2022-11-23T01:30:35.4882763Z [2022-11-23 01:23:23,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99 2022-11-23T01:30:35.4882770Z 2022-11-23T01:30:35.4882865Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4882933Z import torch 2022-11-23T01:30:35.4882988Z import random 2022-11-23T01:30:35.4883102Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4883222Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4883226Z 2022-11-23T01:30:35.4883304Z aten = torch.ops.aten 2022-11-23T01:30:35.4883439Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4883530Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4883534Z 2022-11-23T01:30:35.4883538Z 2022-11-23T01:30:35.4883671Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.4883877Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.4883984Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.4884082Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.4884145Z { 2022-11-23T01:30:35.4884242Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.4884306Z { 2022-11-23T01:30:35.4884386Z #pragma omp for 2022-11-23T01:30:35.4884467Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.4884517Z { 2022-11-23T01:30:35.4884596Z #pragma GCC ivdep 2022-11-23T01:30:35.4884679Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.4884859Z { 2022-11-23T01:30:35.4884944Z #pragma GCC ivdep 2022-11-23T01:30:35.4885033Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.4885084Z { 2022-11-23T01:30:35.4885150Z { 2022-11-23T01:30:35.4885224Z { 2022-11-23T01:30:35.4885333Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.4885482Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.4885551Z } 2022-11-23T01:30:35.4885620Z } 2022-11-23T01:30:35.4885671Z } 2022-11-23T01:30:35.4885733Z } 2022-11-23T01:30:35.4885795Z } 2022-11-23T01:30:35.4885858Z } 2022-11-23T01:30:35.4885918Z } 2022-11-23T01:30:35.4886000Z ''') 2022-11-23T01:30:35.4886005Z 2022-11-23T01:30:35.4886010Z 2022-11-23T01:30:35.4886097Z async_compile.wait(globals()) 2022-11-23T01:30:35.4886156Z del async_compile 2022-11-23T01:30:35.4886173Z 2022-11-23T01:30:35.4886230Z def call(args): 2022-11-23T01:30:35.4886348Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4886421Z args.clear() 2022-11-23T01:30:35.4886633Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4886821Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.4886891Z del arg0_1 2022-11-23T01:30:35.4887028Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.4887128Z assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128)) 2022-11-23T01:30:35.4887196Z del arg1_1 2022-11-23T01:30:35.4887262Z del arg7_1 2022-11-23T01:30:35.4887337Z return (buf1, ) 2022-11-23T01:30:35.4887342Z 2022-11-23T01:30:35.4887346Z 2022-11-23T01:30:35.4887422Z if __name__ == "__main__": 2022-11-23T01:30:35.4887537Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4887659Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4887859Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4888056Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4888251Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4888442Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4888630Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4888820Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4888995Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4889218Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4889373Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4889379Z 2022-11-23T01:30:35.4889383Z 2022-11-23T01:30:35.4889464Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4889534Z import torch 2022-11-23T01:30:35.4889606Z import random 2022-11-23T01:30:35.4889721Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4889840Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4889845Z 2022-11-23T01:30:35.4889926Z aten = torch.ops.aten 2022-11-23T01:30:35.4890060Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4890138Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4890155Z 2022-11-23T01:30:35.4890159Z 2022-11-23T01:30:35.4890234Z async_compile.wait(globals()) 2022-11-23T01:30:35.4890307Z del async_compile 2022-11-23T01:30:35.4890311Z 2022-11-23T01:30:35.4890381Z def call(args): 2022-11-23T01:30:35.4890498Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4890569Z args.clear() 2022-11-23T01:30:35.4890705Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4890816Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:30:35.4890873Z del arg0_1 2022-11-23T01:30:35.4890940Z del arg1_1 2022-11-23T01:30:35.4891004Z del arg7_1 2022-11-23T01:30:35.4891077Z return (buf0, ) 2022-11-23T01:30:35.4891115Z 2022-11-23T01:30:35.4891120Z 2022-11-23T01:30:35.4891195Z if __name__ == "__main__": 2022-11-23T01:30:35.4891310Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4891432Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4891640Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4891817Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4892003Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4892188Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4892372Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4892598Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4892774Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4892999Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4893155Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4893160Z 2022-11-23T01:30:35.4893165Z 2022-11-23T01:30:35.4893261Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4893317Z import torch 2022-11-23T01:30:35.4893386Z import random 2022-11-23T01:30:35.4893500Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4893622Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4893626Z 2022-11-23T01:30:35.4893702Z aten = torch.ops.aten 2022-11-23T01:30:35.4893835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4893925Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4893932Z 2022-11-23T01:30:35.4893936Z 2022-11-23T01:30:35.4894022Z async_compile.wait(globals()) 2022-11-23T01:30:35.4894082Z del async_compile 2022-11-23T01:30:35.4894089Z 2022-11-23T01:30:35.4894159Z def call(args): 2022-11-23T01:30:35.4894277Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4894347Z args.clear() 2022-11-23T01:30:35.4894483Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.4894594Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:30:35.4894661Z del arg0_1 2022-11-23T01:30:35.4894715Z del arg1_1 2022-11-23T01:30:35.4894780Z del arg7_1 2022-11-23T01:30:35.4894850Z return (buf0, ) 2022-11-23T01:30:35.4894855Z 2022-11-23T01:30:35.4894858Z 2022-11-23T01:30:35.4894934Z if __name__ == "__main__": 2022-11-23T01:30:35.4895048Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4895173Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4895381Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4895575Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4895752Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4895939Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4896126Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4896309Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4896486Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4896702Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4896857Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4896864Z 2022-11-23T01:30:35.4896868Z 2022-11-23T01:30:35.4896964Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4897084Z import torch 2022-11-23T01:30:35.4897156Z import random 2022-11-23T01:30:35.4897274Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4897395Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4897400Z 2022-11-23T01:30:35.4897477Z aten = torch.ops.aten 2022-11-23T01:30:35.4897611Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4897701Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4897706Z 2022-11-23T01:30:35.4897710Z 2022-11-23T01:30:35.4897797Z async_compile.wait(globals()) 2022-11-23T01:30:35.4897855Z del async_compile 2022-11-23T01:30:35.4897860Z 2022-11-23T01:30:35.4897929Z def call(args): 2022-11-23T01:30:35.4898046Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4898149Z args.clear() 2022-11-23T01:30:35.4898284Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.4898401Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:30:35.4898469Z del arg0_1 2022-11-23T01:30:35.4898521Z del arg1_1 2022-11-23T01:30:35.4898587Z del arg7_1 2022-11-23T01:30:35.4898656Z return (buf0, ) 2022-11-23T01:30:35.4898661Z 2022-11-23T01:30:35.4898665Z 2022-11-23T01:30:35.4898741Z if __name__ == "__main__": 2022-11-23T01:30:35.4898856Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4898978Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4899189Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4899383Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4899562Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4899752Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4899940Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4900126Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4900304Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4900528Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4900682Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4900687Z 2022-11-23T01:30:35.4901059Z [2022-11-23 01:23:23,067] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py 2022-11-23T01:30:35.4901326Z [2022-11-23 01:23:23,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99 2022-11-23T01:30:35.4901552Z [2022-11-23 01:23:23,089] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4901871Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4902089Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4902327Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4902592Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4902906Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4903242Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4903587Z [2022-11-23 01:23:23,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4903833Z [2022-11-23 01:23:23,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4904064Z [2022-11-23 01:23:23,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4904303Z [2022-11-23 01:23:23,104] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4904549Z [2022-11-23 01:23:23,120] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4904736Z [2022-11-23 01:23:23,120] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4904866Z __compiled_fn_101 .845 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4904987Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4905088Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4905190Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4905195Z 2022-11-23T01:30:35.4905522Z [2022-11-23 01:23:23,120] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4905603Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4905694Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4905779Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4905870Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4905954Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4906042Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4906117Z 12 RETURN_VALUE 2022-11-23T01:30:35.4906122Z 2022-11-23T01:30:35.4906182Z 2022-11-23T01:30:35.4906498Z [2022-11-23 01:23:23,121] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4906610Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_101) 2022-11-23T01:30:35.4906699Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4906788Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4906864Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4906953Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4907044Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4907106Z 12 RETURN_VALUE 2022-11-23T01:30:35.4907123Z 2022-11-23T01:30:35.4907171Z 2022-11-23T01:30:35.4907352Z [2022-11-23 01:23:23,121] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4907424Z - 2022-11-23T01:30:35.4907543Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4907609Z { 2022-11-23T01:30:35.4907750Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4907924Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4908043Z 'obj_weakref': None 2022-11-23T01:30:35.4908269Z 'guarded_class': 2022-11-23T01:30:35.4908334Z } 2022-11-23T01:30:35.4908399Z 2022-11-23T01:30:35.4908469Z - 2022-11-23T01:30:35.4908592Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4908643Z { 2022-11-23T01:30:35.4908784Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4908887Z 'code': None, 2022-11-23T01:30:35.4909102Z 'obj_weakref': 2022-11-23T01:30:35.4909352Z 'guarded_class': 2022-11-23T01:30:35.4909414Z } 2022-11-23T01:30:35.4909479Z 2022-11-23T01:30:35.4909548Z - 2022-11-23T01:30:35.4909665Z local 'model' NN_MODULE 2022-11-23T01:30:35.4909714Z { 2022-11-23T01:30:35.4909872Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4910042Z 'code': ['___check_obj_id(model, 140534642619248)'], 2022-11-23T01:30:35.4910261Z 'obj_weakref': 2022-11-23T01:30:35.4910492Z 'guarded_class': 2022-11-23T01:30:35.4910556Z } 2022-11-23T01:30:35.4910619Z 2022-11-23T01:30:35.4910675Z - 2022-11-23T01:30:35.4910796Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4910857Z { 2022-11-23T01:30:35.4910991Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4911206Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4911353Z 'obj_weakref': None 2022-11-23T01:30:35.4911574Z 'guarded_class': 2022-11-23T01:30:35.4911627Z } 2022-11-23T01:30:35.4911690Z 2022-11-23T01:30:35.4911762Z - 2022-11-23T01:30:35.4911905Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4911967Z { 2022-11-23T01:30:35.4912085Z 'guard_types': None, 2022-11-23T01:30:35.4912190Z 'code': None, 2022-11-23T01:30:35.4912294Z 'obj_weakref': None 2022-11-23T01:30:35.4912415Z 'guarded_class': None 2022-11-23T01:30:35.4912477Z } 2022-11-23T01:30:35.4912538Z 2022-11-23T01:30:35.4912606Z - 2022-11-23T01:30:35.4912748Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4912810Z { 2022-11-23T01:30:35.4912915Z 'guard_types': None, 2022-11-23T01:30:35.4913017Z 'code': None, 2022-11-23T01:30:35.4913136Z 'obj_weakref': None 2022-11-23T01:30:35.4913256Z 'guarded_class': None 2022-11-23T01:30:35.4913318Z } 2022-11-23T01:30:35.4913381Z 2022-11-23T01:30:35.4913639Z [2022-11-23 01:23:23,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100 2022-11-23T01:30:35.4914000Z [2022-11-23 01:23:23,135] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py 2022-11-23T01:30:35.4914261Z [2022-11-23 01:23:23,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100 2022-11-23T01:30:35.4914494Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4914807Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4915024Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4915269Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4915535Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4915844Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4916177Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4916486Z [2022-11-23 01:23:23,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4916717Z [2022-11-23 01:23:23,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4916953Z [2022-11-23 01:23:23,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4917234Z [2022-11-23 01:23:23,159] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4917481Z [2022-11-23 01:23:23,174] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4917669Z [2022-11-23 01:23:23,174] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4917799Z __compiled_fn_102 .856 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4917887Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4917984Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4918069Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4918075Z 2022-11-23T01:30:35.4918397Z [2022-11-23 01:23:23,174] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4918515Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4918609Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4918694Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4918786Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4918869Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4918956Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4919018Z 12 RETURN_VALUE 2022-11-23T01:30:35.4919024Z 2022-11-23T01:30:35.4919084Z 2022-11-23T01:30:35.4919408Z [2022-11-23 01:23:23,174] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4919517Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_102) 2022-11-23T01:30:35.4919605Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4919696Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4919771Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4919845Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4919936Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4920101Z 12 RETURN_VALUE 2022-11-23T01:30:35.4920107Z 2022-11-23T01:30:35.4920171Z 2022-11-23T01:30:35.4920361Z [2022-11-23 01:23:23,175] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4920433Z - 2022-11-23T01:30:35.4920551Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4920614Z { 2022-11-23T01:30:35.4920740Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4920924Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4921041Z 'obj_weakref': None 2022-11-23T01:30:35.4921265Z 'guarded_class': 2022-11-23T01:30:35.4921332Z } 2022-11-23T01:30:35.4921395Z 2022-11-23T01:30:35.4921464Z - 2022-11-23T01:30:35.4921573Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4921638Z { 2022-11-23T01:30:35.4921780Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4921885Z 'code': None, 2022-11-23T01:30:35.4922094Z 'obj_weakref': 2022-11-23T01:30:35.4922347Z 'guarded_class': 2022-11-23T01:30:35.4922409Z } 2022-11-23T01:30:35.4922459Z 2022-11-23T01:30:35.4922527Z - 2022-11-23T01:30:35.4922646Z local 'model' NN_MODULE 2022-11-23T01:30:35.4922708Z { 2022-11-23T01:30:35.4922842Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4923010Z 'code': ['___check_obj_id(model, 140534642619248)'], 2022-11-23T01:30:35.4923229Z 'obj_weakref': 2022-11-23T01:30:35.4923490Z 'guarded_class': 2022-11-23T01:30:35.4923556Z } 2022-11-23T01:30:35.4923619Z 2022-11-23T01:30:35.4923689Z - 2022-11-23T01:30:35.4923810Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4923873Z { 2022-11-23T01:30:35.4924009Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4924211Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4924328Z 'obj_weakref': None 2022-11-23T01:30:35.4924547Z 'guarded_class': 2022-11-23T01:30:35.4924609Z } 2022-11-23T01:30:35.4924672Z 2022-11-23T01:30:35.4924871Z - 2022-11-23T01:30:35.4925019Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4925118Z { 2022-11-23T01:30:35.4925241Z 'guard_types': None, 2022-11-23T01:30:35.4925346Z 'code': None, 2022-11-23T01:30:35.4925466Z 'obj_weakref': None 2022-11-23T01:30:35.4925587Z 'guarded_class': None 2022-11-23T01:30:35.4925650Z } 2022-11-23T01:30:35.4925699Z 2022-11-23T01:30:35.4925767Z - 2022-11-23T01:30:35.4925912Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4925975Z { 2022-11-23T01:30:35.4926093Z 'guard_types': None, 2022-11-23T01:30:35.4926198Z 'code': None, 2022-11-23T01:30:35.4926314Z 'obj_weakref': None 2022-11-23T01:30:35.4926421Z 'guarded_class': None 2022-11-23T01:30:35.4926484Z } 2022-11-23T01:30:35.4926546Z 2022-11-23T01:30:35.4926807Z [2022-11-23 01:23:23,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101 2022-11-23T01:30:35.4927175Z [2022-11-23 01:23:23,189] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py 2022-11-23T01:30:35.4927438Z [2022-11-23 01:23:23,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101 2022-11-23T01:30:35.4927676Z [2022-11-23 01:23:23,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4927986Z [2022-11-23 01:23:23,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4928201Z [2022-11-23 01:23:23,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4928431Z [2022-11-23 01:23:23,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4928698Z [2022-11-23 01:23:23,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4929013Z [2022-11-23 01:23:23,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4929346Z [2022-11-23 01:23:23,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4929657Z [2022-11-23 01:23:23,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4929905Z [2022-11-23 01:23:23,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4930137Z [2022-11-23 01:23:23,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4930389Z [2022-11-23 01:23:23,214] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4930637Z [2022-11-23 01:23:23,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4930851Z [2022-11-23 01:23:23,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4930983Z __compiled_fn_103 .867 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4931073Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4931173Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4931270Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4931275Z 2022-11-23T01:30:35.4931601Z [2022-11-23 01:23:23,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4931695Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4931785Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4931857Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4931995Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4932080Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4932169Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4932247Z 12 RETURN_VALUE 2022-11-23T01:30:35.4932252Z 2022-11-23T01:30:35.4932314Z 2022-11-23T01:30:35.4932639Z [2022-11-23 01:23:23,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4932746Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_103) 2022-11-23T01:30:35.4932824Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4932912Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4932989Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4933076Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4933167Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4933241Z 12 RETURN_VALUE 2022-11-23T01:30:35.4933248Z 2022-11-23T01:30:35.4933309Z 2022-11-23T01:30:35.4933479Z [2022-11-23 01:23:23,232] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4933550Z - 2022-11-23T01:30:35.4933670Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4933734Z { 2022-11-23T01:30:35.4933875Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4934059Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4934181Z 'obj_weakref': None 2022-11-23T01:30:35.4934392Z 'guarded_class': 2022-11-23T01:30:35.4934457Z } 2022-11-23T01:30:35.4934521Z 2022-11-23T01:30:35.4934592Z - 2022-11-23T01:30:35.4934714Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4934776Z { 2022-11-23T01:30:35.4934918Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4935012Z 'code': None, 2022-11-23T01:30:35.4935227Z 'obj_weakref': 2022-11-23T01:30:35.4935479Z 'guarded_class': 2022-11-23T01:30:35.4935542Z } 2022-11-23T01:30:35.4935604Z 2022-11-23T01:30:35.4935672Z - 2022-11-23T01:30:35.4935789Z local 'model' NN_MODULE 2022-11-23T01:30:35.4935841Z { 2022-11-23T01:30:35.4935974Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4936142Z 'code': ['___check_obj_id(model, 140534659305664)'], 2022-11-23T01:30:35.4936359Z 'obj_weakref': 2022-11-23T01:30:35.4936592Z 'guarded_class': 2022-11-23T01:30:35.4936656Z } 2022-11-23T01:30:35.4936719Z 2022-11-23T01:30:35.4936777Z - 2022-11-23T01:30:35.4936897Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4936959Z { 2022-11-23T01:30:35.4937094Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4937340Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4937459Z 'obj_weakref': None 2022-11-23T01:30:35.4937680Z 'guarded_class': 2022-11-23T01:30:35.4937741Z } 2022-11-23T01:30:35.4937791Z 2022-11-23T01:30:35.4937859Z - 2022-11-23T01:30:35.4938004Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4938067Z { 2022-11-23T01:30:35.4938183Z 'guard_types': None, 2022-11-23T01:30:35.4938287Z 'code': None, 2022-11-23T01:30:35.4938390Z 'obj_weakref': None 2022-11-23T01:30:35.4938510Z 'guarded_class': None 2022-11-23T01:30:35.4938602Z } 2022-11-23T01:30:35.4938664Z 2022-11-23T01:30:35.4938732Z - 2022-11-23T01:30:35.4938873Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4938937Z { 2022-11-23T01:30:35.4939042Z 'guard_types': None, 2022-11-23T01:30:35.4939146Z 'code': None, 2022-11-23T01:30:35.4939264Z 'obj_weakref': None 2022-11-23T01:30:35.4939383Z 'guarded_class': None 2022-11-23T01:30:35.4939445Z } 2022-11-23T01:30:35.4939506Z 2022-11-23T01:30:35.4939764Z [2022-11-23 01:23:23,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102 2022-11-23T01:30:35.4940121Z [2022-11-23 01:23:23,246] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py 2022-11-23T01:30:35.4940383Z [2022-11-23 01:23:23,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102 2022-11-23T01:30:35.4940619Z [2022-11-23 01:23:23,273] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4940931Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4941146Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4941387Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4941653Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4941963Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4942299Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4942614Z [2022-11-23 01:23:23,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4942847Z [2022-11-23 01:23:23,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4943080Z [2022-11-23 01:23:23,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4943331Z [2022-11-23 01:23:23,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4943577Z [2022-11-23 01:23:23,305] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4943763Z [2022-11-23 01:23:23,305] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4943894Z __compiled_fn_104 .878 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4943984Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4944081Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4944199Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4944217Z 2022-11-23T01:30:35.4944530Z [2022-11-23 01:23:23,305] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4944622Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4944711Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4944796Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4944884Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4944967Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4945055Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4945117Z 12 RETURN_VALUE 2022-11-23T01:30:35.4945122Z 2022-11-23T01:30:35.4945184Z 2022-11-23T01:30:35.4945534Z [2022-11-23 01:23:23,306] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4945644Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_104) 2022-11-23T01:30:35.4945733Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4945820Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4945894Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4945979Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4946056Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4946129Z 12 RETURN_VALUE 2022-11-23T01:30:35.4946134Z 2022-11-23T01:30:35.4946193Z 2022-11-23T01:30:35.4946375Z [2022-11-23 01:23:23,306] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4946445Z - 2022-11-23T01:30:35.4946562Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4946625Z { 2022-11-23T01:30:35.4946750Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4946937Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4947055Z 'obj_weakref': None 2022-11-23T01:30:35.4947281Z 'guarded_class': 2022-11-23T01:30:35.4947344Z } 2022-11-23T01:30:35.4947406Z 2022-11-23T01:30:35.4947474Z - 2022-11-23T01:30:35.4947584Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4947646Z { 2022-11-23T01:30:35.4947789Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4947897Z 'code': None, 2022-11-23T01:30:35.4948109Z 'obj_weakref': 2022-11-23T01:30:35.4948357Z 'guarded_class': 2022-11-23T01:30:35.4948420Z } 2022-11-23T01:30:35.4948472Z 2022-11-23T01:30:35.4948542Z - 2022-11-23T01:30:35.4948660Z local 'model' NN_MODULE 2022-11-23T01:30:35.4948722Z { 2022-11-23T01:30:35.4948858Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4949026Z 'code': ['___check_obj_id(model, 140534659305664)'], 2022-11-23T01:30:35.4949245Z 'obj_weakref': 2022-11-23T01:30:35.4949465Z 'guarded_class': 2022-11-23T01:30:35.4949528Z } 2022-11-23T01:30:35.4949590Z 2022-11-23T01:30:35.4949659Z - 2022-11-23T01:30:35.4949780Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4949841Z { 2022-11-23T01:30:35.4949976Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4950179Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4950298Z 'obj_weakref': None 2022-11-23T01:30:35.4950519Z 'guarded_class': 2022-11-23T01:30:35.4950616Z } 2022-11-23T01:30:35.4950679Z 2022-11-23T01:30:35.4950747Z - 2022-11-23T01:30:35.4950891Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4950941Z { 2022-11-23T01:30:35.4951062Z 'guard_types': None, 2022-11-23T01:30:35.4951167Z 'code': None, 2022-11-23T01:30:35.4951283Z 'obj_weakref': None 2022-11-23T01:30:35.4951403Z 'guarded_class': None 2022-11-23T01:30:35.4951464Z } 2022-11-23T01:30:35.4951527Z 2022-11-23T01:30:35.4951582Z - 2022-11-23T01:30:35.4951725Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4951786Z { 2022-11-23T01:30:35.4951903Z 'guard_types': None, 2022-11-23T01:30:35.4952007Z 'code': None, 2022-11-23T01:30:35.4952152Z 'obj_weakref': None 2022-11-23T01:30:35.4952258Z 'guarded_class': None 2022-11-23T01:30:35.4952320Z } 2022-11-23T01:30:35.4952383Z 2022-11-23T01:30:35.4952642Z [2022-11-23 01:23:23,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103 2022-11-23T01:30:35.4953007Z [2022-11-23 01:23:23,321] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py 2022-11-23T01:30:35.4953271Z [2022-11-23 01:23:23,321] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103 2022-11-23T01:30:35.4953505Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4953818Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4954034Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4954263Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4954529Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4954841Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4955173Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4955483Z [2022-11-23 01:23:23,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4955727Z [2022-11-23 01:23:23,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4955962Z [2022-11-23 01:23:23,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4956216Z [2022-11-23 01:23:23,361] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4956461Z [2022-11-23 01:23:23,377] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4956647Z [2022-11-23 01:23:23,377] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4956764Z __compiled_fn_105 .889 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4956852Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4956950Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4957046Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4957051Z 2022-11-23T01:30:35.4957372Z [2022-11-23 01:23:23,377] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4957467Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4957583Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4957669Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4957749Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4957832Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4957920Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4957994Z 12 RETURN_VALUE 2022-11-23T01:30:35.4957999Z 2022-11-23T01:30:35.4958058Z 2022-11-23T01:30:35.4958380Z [2022-11-23 01:23:23,378] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4958485Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_105) 2022-11-23T01:30:35.4958561Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4958677Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4958753Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4958841Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4958932Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4959006Z 12 RETURN_VALUE 2022-11-23T01:30:35.4959010Z 2022-11-23T01:30:35.4959070Z 2022-11-23T01:30:35.4959239Z [2022-11-23 01:23:23,378] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4959310Z - 2022-11-23T01:30:35.4959426Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4959490Z { 2022-11-23T01:30:35.4959630Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4959815Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4959934Z 'obj_weakref': None 2022-11-23T01:30:35.4960244Z 'guarded_class': 2022-11-23T01:30:35.4960299Z } 2022-11-23T01:30:35.4960362Z 2022-11-23T01:30:35.4960434Z - 2022-11-23T01:30:35.4960556Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4960619Z { 2022-11-23T01:30:35.4960762Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4960855Z 'code': None, 2022-11-23T01:30:35.4961067Z 'obj_weakref': 2022-11-23T01:30:35.4961317Z 'guarded_class': 2022-11-23T01:30:35.4961380Z } 2022-11-23T01:30:35.4961442Z 2022-11-23T01:30:35.4961511Z - 2022-11-23T01:30:35.4961632Z local 'model' NN_MODULE 2022-11-23T01:30:35.4961681Z { 2022-11-23T01:30:35.4961815Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4961980Z 'code': ['___check_obj_id(model, 140534622649696)'], 2022-11-23T01:30:35.4962202Z 'obj_weakref': 2022-11-23T01:30:35.4962433Z 'guarded_class': 2022-11-23T01:30:35.4962496Z } 2022-11-23T01:30:35.4962559Z 2022-11-23T01:30:35.4962627Z - 2022-11-23T01:30:35.4962737Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4962799Z { 2022-11-23T01:30:35.4962935Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4963151Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4963271Z 'obj_weakref': None 2022-11-23T01:30:35.4963493Z 'guarded_class': 2022-11-23T01:30:35.4963558Z } 2022-11-23T01:30:35.4963608Z 2022-11-23T01:30:35.4963676Z - 2022-11-23T01:30:35.4963823Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4963891Z { 2022-11-23T01:30:35.4964009Z 'guard_types': None, 2022-11-23T01:30:35.4964114Z 'code': None, 2022-11-23T01:30:35.4964259Z 'obj_weakref': None 2022-11-23T01:30:35.4964382Z 'guarded_class': None 2022-11-23T01:30:35.4964446Z } 2022-11-23T01:30:35.4964508Z 2022-11-23T01:30:35.4964580Z - 2022-11-23T01:30:35.4964724Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4964897Z { 2022-11-23T01:30:35.4965005Z 'guard_types': None, 2022-11-23T01:30:35.4965110Z 'code': None, 2022-11-23T01:30:35.4965226Z 'obj_weakref': None 2022-11-23T01:30:35.4965349Z 'guarded_class': None 2022-11-23T01:30:35.4965411Z } 2022-11-23T01:30:35.4965473Z 2022-11-23T01:30:35.4965732Z [2022-11-23 01:23:23,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104 2022-11-23T01:30:35.4965789Z 2022-11-23T01:30:35.4965870Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4965939Z import torch 2022-11-23T01:30:35.4966010Z import random 2022-11-23T01:30:35.4966124Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4966244Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4966250Z 2022-11-23T01:30:35.4966328Z aten = torch.ops.aten 2022-11-23T01:30:35.4966461Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4966553Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4966558Z 2022-11-23T01:30:35.4966562Z 2022-11-23T01:30:35.4966636Z async_compile.wait(globals()) 2022-11-23T01:30:35.4966708Z del async_compile 2022-11-23T01:30:35.4966713Z 2022-11-23T01:30:35.4966783Z def call(args): 2022-11-23T01:30:35.4966901Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4966974Z args.clear() 2022-11-23T01:30:35.4967112Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.4967226Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:30:35.4967296Z del arg0_1 2022-11-23T01:30:35.4967349Z del arg1_1 2022-11-23T01:30:35.4967416Z del arg7_1 2022-11-23T01:30:35.4967486Z return (buf0, ) 2022-11-23T01:30:35.4967491Z 2022-11-23T01:30:35.4967495Z 2022-11-23T01:30:35.4967569Z if __name__ == "__main__": 2022-11-23T01:30:35.4967682Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4967804Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4968015Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4968198Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4968391Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4968581Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4968767Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4968955Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4969134Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4969360Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4969516Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4969521Z 2022-11-23T01:30:35.4969525Z 2022-11-23T01:30:35.4969619Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4969675Z import torch 2022-11-23T01:30:35.4969745Z import random 2022-11-23T01:30:35.4969858Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4969979Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4969986Z 2022-11-23T01:30:35.4970065Z aten = torch.ops.aten 2022-11-23T01:30:35.4970198Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4970328Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4970334Z 2022-11-23T01:30:35.4970338Z 2022-11-23T01:30:35.4970425Z async_compile.wait(globals()) 2022-11-23T01:30:35.4970484Z del async_compile 2022-11-23T01:30:35.4970488Z 2022-11-23T01:30:35.4970558Z def call(args): 2022-11-23T01:30:35.4970677Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4970748Z args.clear() 2022-11-23T01:30:35.4970883Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.4970993Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:30:35.4971061Z del arg0_1 2022-11-23T01:30:35.4971114Z del arg1_1 2022-11-23T01:30:35.4971179Z del arg7_1 2022-11-23T01:30:35.4971249Z return (buf0, ) 2022-11-23T01:30:35.4971283Z 2022-11-23T01:30:35.4971287Z 2022-11-23T01:30:35.4971364Z if __name__ == "__main__": 2022-11-23T01:30:35.4971478Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4971603Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4971811Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4972001Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4972181Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4972368Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4972557Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4972742Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4972920Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4973144Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4973300Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4973305Z 2022-11-23T01:30:35.4973310Z 2022-11-23T01:30:35.4973402Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4973458Z import torch 2022-11-23T01:30:35.4973527Z import random 2022-11-23T01:30:35.4973641Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4973760Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4973764Z 2022-11-23T01:30:35.4973840Z aten = torch.ops.aten 2022-11-23T01:30:35.4973971Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4974062Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4974067Z 2022-11-23T01:30:35.4974071Z 2022-11-23T01:30:35.4974156Z async_compile.wait(globals()) 2022-11-23T01:30:35.4974215Z del async_compile 2022-11-23T01:30:35.4974221Z 2022-11-23T01:30:35.4974292Z def call(args): 2022-11-23T01:30:35.4974406Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4974479Z args.clear() 2022-11-23T01:30:35.4974611Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.4974720Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:30:35.4974787Z del arg0_1 2022-11-23T01:30:35.4974841Z del arg1_1 2022-11-23T01:30:35.4974908Z del arg7_1 2022-11-23T01:30:35.4974977Z return (buf0, ) 2022-11-23T01:30:35.4974981Z 2022-11-23T01:30:35.4974985Z 2022-11-23T01:30:35.4975059Z if __name__ == "__main__": 2022-11-23T01:30:35.4975171Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4975291Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4975500Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4975693Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4975909Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4976096Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4976279Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4976461Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4976638Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4976854Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4977005Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4977010Z 2022-11-23T01:30:35.4977015Z 2022-11-23T01:30:35.4977107Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4977218Z import torch 2022-11-23T01:30:35.4977275Z import random 2022-11-23T01:30:35.4977388Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4977511Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4977515Z 2022-11-23T01:30:35.4977592Z aten = torch.ops.aten 2022-11-23T01:30:35.4977726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4977816Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4977820Z 2022-11-23T01:30:35.4977824Z 2022-11-23T01:30:35.4977912Z async_compile.wait(globals()) 2022-11-23T01:30:35.4977970Z del async_compile 2022-11-23T01:30:35.4977986Z 2022-11-23T01:30:35.4978045Z def call(args): 2022-11-23T01:30:35.4978160Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4978231Z args.clear() 2022-11-23T01:30:35.4978363Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.4978476Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:30:35.4978544Z del arg0_1 2022-11-23T01:30:35.4978610Z del arg1_1 2022-11-23T01:30:35.4978662Z del arg7_1 2022-11-23T01:30:35.4978733Z return (buf0, ) 2022-11-23T01:30:35.4978738Z 2022-11-23T01:30:35.4978742Z 2022-11-23T01:30:35.4978816Z if __name__ == "__main__": 2022-11-23T01:30:35.4978930Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4979051Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4979261Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4979453Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4979642Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4979819Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4980006Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4980194Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4980374Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4980596Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4980748Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4980753Z 2022-11-23T01:30:35.4980757Z 2022-11-23T01:30:35.4980848Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.4980917Z import torch 2022-11-23T01:30:35.4980975Z import random 2022-11-23T01:30:35.4981089Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.4981207Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.4981211Z 2022-11-23T01:30:35.4981288Z aten = torch.ops.aten 2022-11-23T01:30:35.4981420Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.4981511Z async_compile = AsyncCompile() 2022-11-23T01:30:35.4981516Z 2022-11-23T01:30:35.4981520Z 2022-11-23T01:30:35.4981636Z async_compile.wait(globals()) 2022-11-23T01:30:35.4981708Z del async_compile 2022-11-23T01:30:35.4981712Z 2022-11-23T01:30:35.4981769Z def call(args): 2022-11-23T01:30:35.4981884Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.4981955Z args.clear() 2022-11-23T01:30:35.4982089Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.4982201Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:30:35.4982268Z del arg0_1 2022-11-23T01:30:35.4982333Z del arg1_1 2022-11-23T01:30:35.4982386Z del arg7_1 2022-11-23T01:30:35.4982455Z return (buf0, ) 2022-11-23T01:30:35.4982460Z 2022-11-23T01:30:35.4982464Z 2022-11-23T01:30:35.4982537Z if __name__ == "__main__": 2022-11-23T01:30:35.4982680Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.4982800Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.4983013Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4983204Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4983393Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4983566Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4983758Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4983940Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4984115Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.4984337Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.4984494Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.4984498Z 2022-11-23T01:30:35.4984870Z [2022-11-23 01:23:23,392] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py 2022-11-23T01:30:35.4985135Z [2022-11-23 01:23:23,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104 2022-11-23T01:30:35.4985369Z [2022-11-23 01:23:23,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4985668Z [2022-11-23 01:23:23,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4985885Z [2022-11-23 01:23:23,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4986125Z [2022-11-23 01:23:23,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4986393Z [2022-11-23 01:23:23,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4986708Z [2022-11-23 01:23:23,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4987041Z [2022-11-23 01:23:23,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4987351Z [2022-11-23 01:23:23,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.4987594Z [2022-11-23 01:23:23,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.4987825Z [2022-11-23 01:23:23,414] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.4988080Z [2022-11-23 01:23:23,415] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.4988347Z [2022-11-23 01:23:23,430] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.4988536Z [2022-11-23 01:23:23,430] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.4988666Z __compiled_fn_106 .900 opcode, name, target, args, kwargs 2022-11-23T01:30:35.4988753Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.4988853Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.4988951Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.4988957Z 2022-11-23T01:30:35.4989281Z [2022-11-23 01:23:23,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4989374Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.4989451Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4989565Z 4 BUILD_MAP 0 2022-11-23T01:30:35.4989655Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.4989742Z 8 DICT_MERGE 1 2022-11-23T01:30:35.4989829Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.4989903Z 12 RETURN_VALUE 2022-11-23T01:30:35.4989908Z 2022-11-23T01:30:35.4989967Z 2022-11-23T01:30:35.4990293Z [2022-11-23 01:23:23,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.4990388Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_106) 2022-11-23T01:30:35.4990476Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.4990563Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.4990638Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.4990726Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.4990817Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.4990889Z 12 RETURN_VALUE 2022-11-23T01:30:35.4990894Z 2022-11-23T01:30:35.4990941Z 2022-11-23T01:30:35.4991125Z [2022-11-23 01:23:23,432] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.4991194Z - 2022-11-23T01:30:35.4991312Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.4991376Z { 2022-11-23T01:30:35.4991515Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.4991699Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.4991803Z 'obj_weakref': None 2022-11-23T01:30:35.4992026Z 'guarded_class': 2022-11-23T01:30:35.4992089Z } 2022-11-23T01:30:35.4992150Z 2022-11-23T01:30:35.4992220Z - 2022-11-23T01:30:35.4992343Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.4992405Z { 2022-11-23T01:30:35.4992534Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.4992641Z 'code': None, 2022-11-23T01:30:35.4992854Z 'obj_weakref': 2022-11-23T01:30:35.4993106Z 'guarded_class': 2022-11-23T01:30:35.4993169Z } 2022-11-23T01:30:35.4993231Z 2022-11-23T01:30:35.4993301Z - 2022-11-23T01:30:35.4993406Z local 'model' NN_MODULE 2022-11-23T01:30:35.4993469Z { 2022-11-23T01:30:35.4993600Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.4993767Z 'code': ['___check_obj_id(model, 140534622649696)'], 2022-11-23T01:30:35.4993983Z 'obj_weakref': 2022-11-23T01:30:35.4994288Z 'guarded_class': 2022-11-23T01:30:35.4994381Z } 2022-11-23T01:30:35.4994466Z 2022-11-23T01:30:35.4994528Z - 2022-11-23T01:30:35.4994695Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.4994759Z { 2022-11-23T01:30:35.4994894Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.4995110Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.4995228Z 'obj_weakref': None 2022-11-23T01:30:35.4995448Z 'guarded_class': 2022-11-23T01:30:35.4995498Z } 2022-11-23T01:30:35.4995559Z 2022-11-23T01:30:35.4995626Z - 2022-11-23T01:30:35.4995770Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.4995832Z { 2022-11-23T01:30:35.4995950Z 'guard_types': None, 2022-11-23T01:30:35.4996042Z 'code': None, 2022-11-23T01:30:35.4996227Z 'obj_weakref': None 2022-11-23T01:30:35.4996347Z 'guarded_class': None 2022-11-23T01:30:35.4996408Z } 2022-11-23T01:30:35.4996470Z 2022-11-23T01:30:35.4996542Z - 2022-11-23T01:30:35.4996688Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.4996737Z { 2022-11-23T01:30:35.4996854Z 'guard_types': None, 2022-11-23T01:30:35.4996961Z 'code': None, 2022-11-23T01:30:35.4997076Z 'obj_weakref': None 2022-11-23T01:30:35.4997195Z 'guarded_class': None 2022-11-23T01:30:35.4997256Z } 2022-11-23T01:30:35.4997318Z 2022-11-23T01:30:35.4997564Z [2022-11-23 01:23:23,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105 2022-11-23T01:30:35.4997935Z [2022-11-23 01:23:23,452] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm7twkgvwcern6267lpmeqdepccogokskufjadtxlimch2pd2xza.py 2022-11-23T01:30:35.4998200Z [2022-11-23 01:23:23,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105 2022-11-23T01:30:35.4998437Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.4998750Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.4998962Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.4999204Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.4999467Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.4999779Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5000169Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5000484Z [2022-11-23 01:23:23,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5000729Z [2022-11-23 01:23:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5000960Z [2022-11-23 01:23:23,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5001215Z [2022-11-23 01:23:23,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5001459Z [2022-11-23 01:23:23,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5001646Z [2022-11-23 01:23:23,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5001778Z __compiled_fn_107 .911 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5001868Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5001985Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5002086Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5002092Z 2022-11-23T01:30:35.5002416Z [2022-11-23 01:23:23,494] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5002510Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5002600Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5002686Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5002778Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5002862Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5002939Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5003044Z 12 RETURN_VALUE 2022-11-23T01:30:35.5003049Z 2022-11-23T01:30:35.5003113Z 2022-11-23T01:30:35.5003441Z [2022-11-23 01:23:23,494] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5003549Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_107) 2022-11-23T01:30:35.5003638Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5003726Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5003803Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5003877Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5003967Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5004041Z 12 RETURN_VALUE 2022-11-23T01:30:35.5004045Z 2022-11-23T01:30:35.5004105Z 2022-11-23T01:30:35.5004286Z [2022-11-23 01:23:23,494] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5004356Z - 2022-11-23T01:30:35.5004474Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5004528Z { 2022-11-23T01:30:35.5004667Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5005027Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5005202Z 'obj_weakref': None 2022-11-23T01:30:35.5005488Z 'guarded_class': 2022-11-23T01:30:35.5005553Z } 2022-11-23T01:30:35.5005616Z 2022-11-23T01:30:35.5005674Z - 2022-11-23T01:30:35.5005798Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5005860Z { 2022-11-23T01:30:35.5006003Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5006109Z 'code': None, 2022-11-23T01:30:35.5006319Z 'obj_weakref': 2022-11-23T01:30:35.5006571Z 'guarded_class': 2022-11-23T01:30:35.5006626Z } 2022-11-23T01:30:35.5006690Z 2022-11-23T01:30:35.5006759Z - 2022-11-23T01:30:35.5006882Z local 'model' NN_MODULE 2022-11-23T01:30:35.5006946Z { 2022-11-23T01:30:35.5007082Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5007251Z 'code': ['___check_obj_id(model, 140534626629280)'], 2022-11-23T01:30:35.5007456Z 'obj_weakref': 2022-11-23T01:30:35.5007692Z 'guarded_class': 2022-11-23T01:30:35.5007756Z } 2022-11-23T01:30:35.5007819Z 2022-11-23T01:30:35.5007890Z - 2022-11-23T01:30:35.5008011Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5008073Z { 2022-11-23T01:30:35.5008195Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5008415Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5008532Z 'obj_weakref': None 2022-11-23T01:30:35.5008822Z 'guarded_class': 2022-11-23T01:30:35.5008887Z } 2022-11-23T01:30:35.5008951Z 2022-11-23T01:30:35.5009022Z - 2022-11-23T01:30:35.5009153Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5009215Z { 2022-11-23T01:30:35.5009334Z 'guard_types': None, 2022-11-23T01:30:35.5009439Z 'code': None, 2022-11-23T01:30:35.5009556Z 'obj_weakref': None 2022-11-23T01:30:35.5009677Z 'guarded_class': None 2022-11-23T01:30:35.5009739Z } 2022-11-23T01:30:35.5009788Z 2022-11-23T01:30:35.5009857Z - 2022-11-23T01:30:35.5010001Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5010099Z { 2022-11-23T01:30:35.5010218Z 'guard_types': None, 2022-11-23T01:30:35.5010322Z 'code': None, 2022-11-23T01:30:35.5010438Z 'obj_weakref': None 2022-11-23T01:30:35.5010549Z 'guarded_class': None 2022-11-23T01:30:35.5010610Z } 2022-11-23T01:30:35.5010672Z 2022-11-23T01:30:35.5010934Z [2022-11-23 01:23:23,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106 2022-11-23T01:30:35.5011301Z [2022-11-23 01:23:23,509] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py 2022-11-23T01:30:35.5011563Z [2022-11-23 01:23:23,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106 2022-11-23T01:30:35.5011800Z [2022-11-23 01:23:23,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5012111Z [2022-11-23 01:23:23,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5012320Z [2022-11-23 01:23:23,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5012563Z [2022-11-23 01:23:23,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5012829Z [2022-11-23 01:23:23,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5013138Z [2022-11-23 01:23:23,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5013476Z [2022-11-23 01:23:23,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5013785Z [2022-11-23 01:23:23,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5014033Z [2022-11-23 01:23:23,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5014268Z [2022-11-23 01:23:23,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5014520Z [2022-11-23 01:23:23,544] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5014764Z [2022-11-23 01:23:23,559] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5014938Z [2022-11-23 01:23:23,559] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5015067Z __compiled_fn_108 .922 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5015154Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5015254Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5015350Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5015358Z 2022-11-23T01:30:35.5015683Z [2022-11-23 01:23:23,560] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5015804Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5015894Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5015967Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5016056Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5016140Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5016227Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5016302Z 12 RETURN_VALUE 2022-11-23T01:30:35.5016307Z 2022-11-23T01:30:35.5016367Z 2022-11-23T01:30:35.5016692Z [2022-11-23 01:23:23,560] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5016786Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_108) 2022-11-23T01:30:35.5016903Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5016990Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5017069Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5017156Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5017245Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5017319Z 12 RETURN_VALUE 2022-11-23T01:30:35.5017324Z 2022-11-23T01:30:35.5017384Z 2022-11-23T01:30:35.5017554Z [2022-11-23 01:23:23,561] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5017625Z - 2022-11-23T01:30:35.5017743Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5017806Z { 2022-11-23T01:30:35.5017945Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5018129Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5018246Z 'obj_weakref': None 2022-11-23T01:30:35.5018460Z 'guarded_class': 2022-11-23T01:30:35.5018523Z } 2022-11-23T01:30:35.5018587Z 2022-11-23T01:30:35.5018659Z - 2022-11-23T01:30:35.5018781Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5018842Z { 2022-11-23T01:30:35.5018970Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5019074Z 'code': None, 2022-11-23T01:30:35.5019284Z 'obj_weakref': 2022-11-23T01:30:35.5019535Z 'guarded_class': 2022-11-23T01:30:35.5019600Z } 2022-11-23T01:30:35.5019663Z 2022-11-23T01:30:35.5019732Z - 2022-11-23T01:30:35.5019848Z local 'model' NN_MODULE 2022-11-23T01:30:35.5019899Z { 2022-11-23T01:30:35.5020031Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5020202Z 'code': ['___check_obj_id(model, 140534626629280)'], 2022-11-23T01:30:35.5020422Z 'obj_weakref': 2022-11-23T01:30:35.5020653Z 'guarded_class': 2022-11-23T01:30:35.5020715Z } 2022-11-23T01:30:35.5020778Z 2022-11-23T01:30:35.5020835Z - 2022-11-23T01:30:35.5020955Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5021017Z { 2022-11-23T01:30:35.5021150Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5021363Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5021480Z 'obj_weakref': None 2022-11-23T01:30:35.5021700Z 'guarded_class': 2022-11-23T01:30:35.5021750Z } 2022-11-23T01:30:35.5021816Z 2022-11-23T01:30:35.5021885Z - 2022-11-23T01:30:35.5022029Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5022092Z { 2022-11-23T01:30:35.5022236Z 'guard_types': None, 2022-11-23T01:30:35.5022342Z 'code': None, 2022-11-23T01:30:35.5022446Z 'obj_weakref': None 2022-11-23T01:30:35.5022566Z 'guarded_class': None 2022-11-23T01:30:35.5022628Z } 2022-11-23T01:30:35.5022690Z 2022-11-23T01:30:35.5022757Z - 2022-11-23T01:30:35.5022899Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5022948Z { 2022-11-23T01:30:35.5023065Z 'guard_types': None, 2022-11-23T01:30:35.5023168Z 'code': None, 2022-11-23T01:30:35.5023282Z 'obj_weakref': None 2022-11-23T01:30:35.5023400Z 'guarded_class': None 2022-11-23T01:30:35.5023461Z } 2022-11-23T01:30:35.5023568Z 2022-11-23T01:30:35.5023813Z [2022-11-23 01:23:23,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107 2022-11-23T01:30:35.5023830Z 2022-11-23T01:30:35.5023913Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5023981Z import torch 2022-11-23T01:30:35.5024047Z import random 2022-11-23T01:30:35.5024161Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5024280Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5024285Z 2022-11-23T01:30:35.5024362Z aten = torch.ops.aten 2022-11-23T01:30:35.5024493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5024571Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5024576Z 2022-11-23T01:30:35.5024581Z 2022-11-23T01:30:35.5024668Z async_compile.wait(globals()) 2022-11-23T01:30:35.5024738Z del async_compile 2022-11-23T01:30:35.5024743Z 2022-11-23T01:30:35.5024817Z def call(args): 2022-11-23T01:30:35.5024935Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5025009Z args.clear() 2022-11-23T01:30:35.5025147Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.5025257Z assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1)) 2022-11-23T01:30:35.5025312Z del arg0_1 2022-11-23T01:30:35.5025380Z del arg1_1 2022-11-23T01:30:35.5025446Z del arg7_1 2022-11-23T01:30:35.5025516Z return (buf0, ) 2022-11-23T01:30:35.5025521Z 2022-11-23T01:30:35.5025525Z 2022-11-23T01:30:35.5025601Z if __name__ == "__main__": 2022-11-23T01:30:35.5025712Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5025832Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5026030Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5026223Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5026412Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5026598Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5026782Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5026964Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5027141Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5027360Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5027502Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5027519Z 2022-11-23T01:30:35.5027523Z 2022-11-23T01:30:35.5027604Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5027673Z import torch 2022-11-23T01:30:35.5027742Z import random 2022-11-23T01:30:35.5027855Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5027982Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5027986Z 2022-11-23T01:30:35.5028064Z aten = torch.ops.aten 2022-11-23T01:30:35.5028225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5028303Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5028308Z 2022-11-23T01:30:35.5028326Z 2022-11-23T01:30:35.5028445Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5028649Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5028767Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5028866Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5028927Z { 2022-11-23T01:30:35.5029023Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5029084Z { 2022-11-23T01:30:35.5029148Z #pragma omp for 2022-11-23T01:30:35.5029229Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.5029321Z { 2022-11-23T01:30:35.5029400Z #pragma GCC ivdep 2022-11-23T01:30:35.5029482Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.5029545Z { 2022-11-23T01:30:35.5029615Z #pragma GCC ivdep 2022-11-23T01:30:35.5029703Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.5029767Z { 2022-11-23T01:30:35.5029835Z { 2022-11-23T01:30:35.5029904Z { 2022-11-23T01:30:35.5030011Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.5030113Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.5030168Z } 2022-11-23T01:30:35.5030234Z } 2022-11-23T01:30:35.5030297Z } 2022-11-23T01:30:35.5030360Z } 2022-11-23T01:30:35.5030422Z } 2022-11-23T01:30:35.5030481Z } 2022-11-23T01:30:35.5030541Z } 2022-11-23T01:30:35.5030609Z ''') 2022-11-23T01:30:35.5030613Z 2022-11-23T01:30:35.5030617Z 2022-11-23T01:30:35.5030706Z async_compile.wait(globals()) 2022-11-23T01:30:35.5030776Z del async_compile 2022-11-23T01:30:35.5030781Z 2022-11-23T01:30:35.5030855Z def call(args): 2022-11-23T01:30:35.5030971Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5031042Z args.clear() 2022-11-23T01:30:35.5031251Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5031382Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5031437Z del arg0_1 2022-11-23T01:30:35.5031571Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.5031680Z assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32)) 2022-11-23T01:30:35.5031746Z del arg1_1 2022-11-23T01:30:35.5031811Z del arg7_1 2022-11-23T01:30:35.5031881Z return (buf1, ) 2022-11-23T01:30:35.5031889Z 2022-11-23T01:30:35.5031893Z 2022-11-23T01:30:35.5031967Z if __name__ == "__main__": 2022-11-23T01:30:35.5032070Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5032193Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5032403Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5032597Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5032786Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5032970Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5033154Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5033340Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5033505Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5033723Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5033905Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5033910Z 2022-11-23T01:30:35.5033914Z 2022-11-23T01:30:35.5034009Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5034078Z import torch 2022-11-23T01:30:35.5034147Z import random 2022-11-23T01:30:35.5034260Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5034380Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5034384Z 2022-11-23T01:30:35.5034449Z aten = torch.ops.aten 2022-11-23T01:30:35.5034581Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5034671Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5034676Z 2022-11-23T01:30:35.5034680Z 2022-11-23T01:30:35.5034767Z async_compile.wait(globals()) 2022-11-23T01:30:35.5034839Z del async_compile 2022-11-23T01:30:35.5034872Z 2022-11-23T01:30:35.5034945Z def call(args): 2022-11-23T01:30:35.5035062Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5035135Z args.clear() 2022-11-23T01:30:35.5035256Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.5035367Z assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1)) 2022-11-23T01:30:35.5035434Z del arg0_1 2022-11-23T01:30:35.5035502Z del arg1_1 2022-11-23T01:30:35.5035570Z del arg7_1 2022-11-23T01:30:35.5035640Z return (buf0, ) 2022-11-23T01:30:35.5035645Z 2022-11-23T01:30:35.5035649Z 2022-11-23T01:30:35.5035722Z if __name__ == "__main__": 2022-11-23T01:30:35.5035836Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5035944Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5036155Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5036350Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5036541Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5036727Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5036913Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5037095Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5037271Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5037482Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5037637Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5037641Z 2022-11-23T01:30:35.5038011Z [2022-11-23 01:23:23,583] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dm/cdmsqhbjm4su75pxsaybvry37ojfvoe3os3ye7j2skwrk2wc5nrs.py 2022-11-23T01:30:35.5038280Z [2022-11-23 01:23:23,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107 2022-11-23T01:30:35.5038516Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5038829Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5039043Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5039285Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5039550Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5039863Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5040306Z [2022-11-23 01:23:23,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5040626Z [2022-11-23 01:23:23,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5040870Z [2022-11-23 01:23:23,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5041103Z [2022-11-23 01:23:23,616] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5041356Z [2022-11-23 01:23:23,617] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5041604Z [2022-11-23 01:23:23,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5041823Z [2022-11-23 01:23:23,632] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5041954Z __compiled_fn_109 .933 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5042045Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5042130Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5042227Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5042232Z 2022-11-23T01:30:35.5042561Z [2022-11-23 01:23:23,633] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5042656Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5042745Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5042832Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5042923Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5043007Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5043086Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5043160Z 12 RETURN_VALUE 2022-11-23T01:30:35.5043165Z 2022-11-23T01:30:35.5043226Z 2022-11-23T01:30:35.5043553Z [2022-11-23 01:23:23,633] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5043661Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_109) 2022-11-23T01:30:35.5043750Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5043838Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5043902Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5043991Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5044080Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5044155Z 12 RETURN_VALUE 2022-11-23T01:30:35.5044160Z 2022-11-23T01:30:35.5044220Z 2022-11-23T01:30:35.5044401Z [2022-11-23 01:23:23,633] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5044474Z - 2022-11-23T01:30:35.5044579Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5044645Z { 2022-11-23T01:30:35.5044901Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5045092Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5045211Z 'obj_weakref': None 2022-11-23T01:30:35.5045437Z 'guarded_class': 2022-11-23T01:30:35.5045501Z } 2022-11-23T01:30:35.5045564Z 2022-11-23T01:30:35.5045621Z - 2022-11-23T01:30:35.5045743Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5045806Z { 2022-11-23T01:30:35.5045948Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5046054Z 'code': None, 2022-11-23T01:30:35.5046265Z 'obj_weakref': 2022-11-23T01:30:35.5046519Z 'guarded_class': 2022-11-23T01:30:35.5046569Z } 2022-11-23T01:30:35.5046682Z 2022-11-23T01:30:35.5046754Z - 2022-11-23T01:30:35.5046875Z local 'model' NN_MODULE 2022-11-23T01:30:35.5046939Z { 2022-11-23T01:30:35.5047074Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5047229Z 'code': ['___check_obj_id(model, 140534622013184)'], 2022-11-23T01:30:35.5047447Z 'obj_weakref': 2022-11-23T01:30:35.5047677Z 'guarded_class': 2022-11-23T01:30:35.5047740Z } 2022-11-23T01:30:35.5047803Z 2022-11-23T01:30:35.5047872Z - 2022-11-23T01:30:35.5047992Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5048055Z { 2022-11-23T01:30:35.5048213Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5048429Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5048550Z 'obj_weakref': None 2022-11-23T01:30:35.5048771Z 'guarded_class': 2022-11-23T01:30:35.5048834Z } 2022-11-23T01:30:35.5048895Z 2022-11-23T01:30:35.5048964Z - 2022-11-23T01:30:35.5049094Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5049156Z { 2022-11-23T01:30:35.5049274Z 'guard_types': None, 2022-11-23T01:30:35.5049382Z 'code': None, 2022-11-23T01:30:35.5049498Z 'obj_weakref': None 2022-11-23T01:30:35.5049618Z 'guarded_class': None 2022-11-23T01:30:35.5049669Z } 2022-11-23T01:30:35.5049731Z 2022-11-23T01:30:35.5049802Z - 2022-11-23T01:30:35.5049954Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5050015Z { 2022-11-23T01:30:35.5050132Z 'guard_types': None, 2022-11-23T01:30:35.5050240Z 'code': None, 2022-11-23T01:30:35.5050343Z 'obj_weakref': None 2022-11-23T01:30:35.5050462Z 'guarded_class': None 2022-11-23T01:30:35.5050525Z } 2022-11-23T01:30:35.5050588Z 2022-11-23T01:30:35.5050847Z [2022-11-23 01:23:23,642] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108 2022-11-23T01:30:35.5051211Z [2022-11-23 01:23:23,647] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py 2022-11-23T01:30:35.5051471Z [2022-11-23 01:23:23,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108 2022-11-23T01:30:35.5051704Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5052006Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5052225Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5052466Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5052731Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5053042Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5053375Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5053684Z [2022-11-23 01:23:23,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5053959Z [2022-11-23 01:23:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5054194Z [2022-11-23 01:23:23,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5054447Z [2022-11-23 01:23:23,670] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5054680Z [2022-11-23 01:23:23,685] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5054868Z [2022-11-23 01:23:23,685] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5055000Z __compiled_fn_110 .944 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5055089Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5055186Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5055315Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5055320Z 2022-11-23T01:30:35.5055645Z [2022-11-23 01:23:23,685] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5055737Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5055814Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5055900Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5055991Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5056076Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5056164Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5056238Z 12 RETURN_VALUE 2022-11-23T01:30:35.5056243Z 2022-11-23T01:30:35.5056303Z 2022-11-23T01:30:35.5056623Z [2022-11-23 01:23:23,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5056721Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_110) 2022-11-23T01:30:35.5056809Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5056898Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5056973Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5057058Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5057145Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5057219Z 12 RETURN_VALUE 2022-11-23T01:30:35.5057223Z 2022-11-23T01:30:35.5057270Z 2022-11-23T01:30:35.5057451Z [2022-11-23 01:23:23,686] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5057520Z - 2022-11-23T01:30:35.5057636Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5057700Z { 2022-11-23T01:30:35.5057838Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5058023Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5058132Z 'obj_weakref': None 2022-11-23T01:30:35.5058355Z 'guarded_class': 2022-11-23T01:30:35.5058419Z } 2022-11-23T01:30:35.5058482Z 2022-11-23T01:30:35.5058551Z - 2022-11-23T01:30:35.5058673Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5058735Z { 2022-11-23T01:30:35.5058863Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5058966Z 'code': None, 2022-11-23T01:30:35.5059176Z 'obj_weakref': 2022-11-23T01:30:35.5059426Z 'guarded_class': 2022-11-23T01:30:35.5059489Z } 2022-11-23T01:30:35.5059550Z 2022-11-23T01:30:35.5059618Z - 2022-11-23T01:30:35.5059723Z local 'model' NN_MODULE 2022-11-23T01:30:35.5059789Z { 2022-11-23T01:30:35.5059923Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5060089Z 'code': ['___check_obj_id(model, 140534622013184)'], 2022-11-23T01:30:35.5060333Z 'obj_weakref': 2022-11-23T01:30:35.5060567Z 'guarded_class': 2022-11-23T01:30:35.5060629Z } 2022-11-23T01:30:35.5060678Z 2022-11-23T01:30:35.5060747Z - 2022-11-23T01:30:35.5060868Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5060931Z { 2022-11-23T01:30:35.5061065Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5061278Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5061394Z 'obj_weakref': None 2022-11-23T01:30:35.5061600Z 'guarded_class': 2022-11-23T01:30:35.5061693Z } 2022-11-23T01:30:35.5061753Z 2022-11-23T01:30:35.5061821Z - 2022-11-23T01:30:35.5061968Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5062030Z { 2022-11-23T01:30:35.5062149Z 'guard_types': None, 2022-11-23T01:30:35.5062241Z 'code': None, 2022-11-23T01:30:35.5062357Z 'obj_weakref': None 2022-11-23T01:30:35.5062476Z 'guarded_class': None 2022-11-23T01:30:35.5062539Z } 2022-11-23T01:30:35.5062601Z 2022-11-23T01:30:35.5062667Z - 2022-11-23T01:30:35.5062809Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5062859Z { 2022-11-23T01:30:35.5062976Z 'guard_types': None, 2022-11-23T01:30:35.5063079Z 'code': None, 2022-11-23T01:30:35.5063195Z 'obj_weakref': None 2022-11-23T01:30:35.5063315Z 'guarded_class': None 2022-11-23T01:30:35.5063378Z } 2022-11-23T01:30:35.5063440Z 2022-11-23T01:30:35.5063686Z [2022-11-23 01:23:23,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109 2022-11-23T01:30:35.5064050Z [2022-11-23 01:23:23,706] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuipih7pf3lvp3pbk4g5kigatr5l2wfnrs233pvvjgwj6vzz6kni.py 2022-11-23T01:30:35.5064312Z [2022-11-23 01:23:23,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109 2022-11-23T01:30:35.5064545Z [2022-11-23 01:23:23,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5064855Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5065070Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5065315Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5065584Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5065892Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5066212Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5066520Z [2022-11-23 01:23:23,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5066766Z [2022-11-23 01:23:23,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5066999Z [2022-11-23 01:23:23,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5067251Z [2022-11-23 01:23:23,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5067524Z [2022-11-23 01:23:23,747] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5067714Z [2022-11-23 01:23:23,747] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5067843Z __compiled_fn_111 .955 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5067930Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5068015Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5068113Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5068118Z 2022-11-23T01:30:35.5068440Z [2022-11-23 01:23:23,748] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5068531Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5068662Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5068748Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5068840Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5068923Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5068998Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5069072Z 12 RETURN_VALUE 2022-11-23T01:30:35.5069076Z 2022-11-23T01:30:35.5069138Z 2022-11-23T01:30:35.5069460Z [2022-11-23 01:23:23,748] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5069566Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_111) 2022-11-23T01:30:35.5069654Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5069741Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5069816Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5069894Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5069982Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5070056Z 12 RETURN_VALUE 2022-11-23T01:30:35.5070063Z 2022-11-23T01:30:35.5070123Z 2022-11-23T01:30:35.5070303Z [2022-11-23 01:23:23,749] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5070373Z - 2022-11-23T01:30:35.5070491Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5070543Z { 2022-11-23T01:30:35.5070681Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5070866Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5070984Z 'obj_weakref': None 2022-11-23T01:30:35.5071209Z 'guarded_class': 2022-11-23T01:30:35.5071271Z } 2022-11-23T01:30:35.5071333Z 2022-11-23T01:30:35.5071388Z - 2022-11-23T01:30:35.5071510Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5071576Z { 2022-11-23T01:30:35.5071716Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5071823Z 'code': None, 2022-11-23T01:30:35.5072030Z 'obj_weakref': 2022-11-23T01:30:35.5072279Z 'guarded_class': 2022-11-23T01:30:35.5072329Z } 2022-11-23T01:30:35.5072391Z 2022-11-23T01:30:35.5072459Z - 2022-11-23T01:30:35.5072578Z local 'model' NN_MODULE 2022-11-23T01:30:35.5072640Z { 2022-11-23T01:30:35.5072772Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5072936Z 'code': ['___check_obj_id(model, 140534620825264)'], 2022-11-23T01:30:35.5073144Z 'obj_weakref': 2022-11-23T01:30:35.5073380Z 'guarded_class': 2022-11-23T01:30:35.5073443Z } 2022-11-23T01:30:35.5073503Z 2022-11-23T01:30:35.5073602Z - 2022-11-23T01:30:35.5073725Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5073787Z { 2022-11-23T01:30:35.5073907Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5074122Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5074240Z 'obj_weakref': None 2022-11-23T01:30:35.5074463Z 'guarded_class': 2022-11-23T01:30:35.5074525Z } 2022-11-23T01:30:35.5074587Z 2022-11-23T01:30:35.5074655Z - 2022-11-23T01:30:35.5074786Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5074848Z { 2022-11-23T01:30:35.5074966Z 'guard_types': None, 2022-11-23T01:30:35.5075109Z 'code': None, 2022-11-23T01:30:35.5075226Z 'obj_weakref': None 2022-11-23T01:30:35.5075346Z 'guarded_class': None 2022-11-23T01:30:35.5075411Z } 2022-11-23T01:30:35.5075461Z 2022-11-23T01:30:35.5075529Z - 2022-11-23T01:30:35.5075674Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5075736Z { 2022-11-23T01:30:35.5075852Z 'guard_types': None, 2022-11-23T01:30:35.5075956Z 'code': None, 2022-11-23T01:30:35.5076059Z 'obj_weakref': None 2022-11-23T01:30:35.5076179Z 'guarded_class': None 2022-11-23T01:30:35.5076241Z } 2022-11-23T01:30:35.5076302Z 2022-11-23T01:30:35.5076561Z [2022-11-23 01:23:23,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110 2022-11-23T01:30:35.5076566Z 2022-11-23T01:30:35.5076658Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5076729Z import torch 2022-11-23T01:30:35.5076784Z import random 2022-11-23T01:30:35.5076900Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5077022Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5077027Z 2022-11-23T01:30:35.5077104Z aten = torch.ops.aten 2022-11-23T01:30:35.5077236Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5077327Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5077332Z 2022-11-23T01:30:35.5077336Z 2022-11-23T01:30:35.5077467Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5077673Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5077789Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5077877Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5077936Z { 2022-11-23T01:30:35.5078036Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5078097Z { 2022-11-23T01:30:35.5078175Z #pragma omp for 2022-11-23T01:30:35.5078256Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.5078305Z { 2022-11-23T01:30:35.5078386Z #pragma GCC ivdep 2022-11-23T01:30:35.5078467Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.5078528Z { 2022-11-23T01:30:35.5078608Z #pragma GCC ivdep 2022-11-23T01:30:35.5078695Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.5078762Z { 2022-11-23T01:30:35.5078815Z { 2022-11-23T01:30:35.5078884Z { 2022-11-23T01:30:35.5078997Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.5079106Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.5079177Z } 2022-11-23T01:30:35.5079242Z } 2022-11-23T01:30:35.5079306Z } 2022-11-23T01:30:35.5079356Z } 2022-11-23T01:30:35.5079420Z } 2022-11-23T01:30:35.5079481Z } 2022-11-23T01:30:35.5079543Z } 2022-11-23T01:30:35.5079621Z ''') 2022-11-23T01:30:35.5079626Z 2022-11-23T01:30:35.5079630Z 2022-11-23T01:30:35.5079745Z async_compile.wait(globals()) 2022-11-23T01:30:35.5079818Z del async_compile 2022-11-23T01:30:35.5079823Z 2022-11-23T01:30:35.5079880Z def call(args): 2022-11-23T01:30:35.5080071Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5080150Z args.clear() 2022-11-23T01:30:35.5080367Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5080501Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5080568Z del arg0_1 2022-11-23T01:30:35.5080701Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:30:35.5080813Z assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128)) 2022-11-23T01:30:35.5080909Z del arg1_1 2022-11-23T01:30:35.5080976Z del arg7_1 2022-11-23T01:30:35.5081048Z return (buf1, ) 2022-11-23T01:30:35.5081053Z 2022-11-23T01:30:35.5081057Z 2022-11-23T01:30:35.5081135Z if __name__ == "__main__": 2022-11-23T01:30:35.5081249Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5081370Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5081584Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5081765Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5081956Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5082145Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5082334Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5082521Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5082701Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5082924Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5083086Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5083091Z 2022-11-23T01:30:35.5083095Z 2022-11-23T01:30:35.5083190Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5083247Z import torch 2022-11-23T01:30:35.5083317Z import random 2022-11-23T01:30:35.5083434Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5083553Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5083557Z 2022-11-23T01:30:35.5083634Z aten = torch.ops.aten 2022-11-23T01:30:35.5083767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5083858Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5083866Z 2022-11-23T01:30:35.5083870Z 2022-11-23T01:30:35.5083957Z async_compile.wait(globals()) 2022-11-23T01:30:35.5084016Z del async_compile 2022-11-23T01:30:35.5084021Z 2022-11-23T01:30:35.5084093Z def call(args): 2022-11-23T01:30:35.5084212Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5084283Z args.clear() 2022-11-23T01:30:35.5084417Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.5084527Z assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1)) 2022-11-23T01:30:35.5084596Z del arg0_1 2022-11-23T01:30:35.5084650Z del arg1_1 2022-11-23T01:30:35.5084717Z del arg7_1 2022-11-23T01:30:35.5084891Z return (buf0, ) 2022-11-23T01:30:35.5084896Z 2022-11-23T01:30:35.5084901Z 2022-11-23T01:30:35.5084976Z if __name__ == "__main__": 2022-11-23T01:30:35.5085089Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5085212Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5085426Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5085667Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5085846Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5086032Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5086215Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5086396Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5086573Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5086794Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5086951Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5086990Z 2022-11-23T01:30:35.5086994Z 2022-11-23T01:30:35.5087090Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5087147Z import torch 2022-11-23T01:30:35.5087218Z import random 2022-11-23T01:30:35.5087332Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5087455Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5087460Z 2022-11-23T01:30:35.5087538Z aten = torch.ops.aten 2022-11-23T01:30:35.5087672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5087762Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5087766Z 2022-11-23T01:30:35.5087771Z 2022-11-23T01:30:35.5087906Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5088096Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5088215Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5088313Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5088378Z { 2022-11-23T01:30:35.5088475Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5088538Z { 2022-11-23T01:30:35.5088614Z #pragma omp for 2022-11-23T01:30:35.5088686Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.5088749Z { 2022-11-23T01:30:35.5088829Z #pragma GCC ivdep 2022-11-23T01:30:35.5088910Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.5088972Z { 2022-11-23T01:30:35.5089054Z #pragma GCC ivdep 2022-11-23T01:30:35.5089143Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.5089196Z { 2022-11-23T01:30:35.5089263Z { 2022-11-23T01:30:35.5089331Z { 2022-11-23T01:30:35.5089440Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.5089542Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.5089609Z } 2022-11-23T01:30:35.5089677Z } 2022-11-23T01:30:35.5089728Z } 2022-11-23T01:30:35.5089790Z } 2022-11-23T01:30:35.5089850Z } 2022-11-23T01:30:35.5089912Z } 2022-11-23T01:30:35.5089974Z } 2022-11-23T01:30:35.5090051Z ''') 2022-11-23T01:30:35.5090056Z 2022-11-23T01:30:35.5090060Z 2022-11-23T01:30:35.5090148Z async_compile.wait(globals()) 2022-11-23T01:30:35.5090206Z del async_compile 2022-11-23T01:30:35.5090211Z 2022-11-23T01:30:35.5090283Z def call(args): 2022-11-23T01:30:35.5090399Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5090470Z args.clear() 2022-11-23T01:30:35.5090677Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5090808Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5090877Z del arg0_1 2022-11-23T01:30:35.5090997Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:30:35.5091110Z assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32)) 2022-11-23T01:30:35.5091177Z del arg1_1 2022-11-23T01:30:35.5091243Z del arg7_1 2022-11-23T01:30:35.5091343Z return (buf1, ) 2022-11-23T01:30:35.5091348Z 2022-11-23T01:30:35.5091352Z 2022-11-23T01:30:35.5091427Z if __name__ == "__main__": 2022-11-23T01:30:35.5091541Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5091662Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5091860Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5092048Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5092235Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5092419Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5092601Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5092816Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5092995Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5093213Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5093354Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5093371Z 2022-11-23T01:30:35.5093726Z [2022-11-23 01:23:23,763] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py 2022-11-23T01:30:35.5093993Z [2022-11-23 01:23:23,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110 2022-11-23T01:30:35.5094227Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5094546Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5094762Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5095004Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5095269Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5095580Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5095914Z [2022-11-23 01:23:23,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5096227Z [2022-11-23 01:23:23,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5096465Z [2022-11-23 01:23:23,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5096697Z [2022-11-23 01:23:23,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5096949Z [2022-11-23 01:23:23,800] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5097194Z [2022-11-23 01:23:23,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5097382Z [2022-11-23 01:23:23,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5097512Z __compiled_fn_112 .966 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5097600Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5097698Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5097784Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5097791Z 2022-11-23T01:30:35.5098182Z [2022-11-23 01:23:23,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5098276Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5098371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5098456Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5098549Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5098633Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5098720Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5098783Z 12 RETURN_VALUE 2022-11-23T01:30:35.5098788Z 2022-11-23T01:30:35.5098848Z 2022-11-23T01:30:35.5099173Z [2022-11-23 01:23:23,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5099311Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_112) 2022-11-23T01:30:35.5099401Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5099492Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5099569Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5099644Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5099735Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5099810Z 12 RETURN_VALUE 2022-11-23T01:30:35.5099814Z 2022-11-23T01:30:35.5099875Z 2022-11-23T01:30:35.5100058Z [2022-11-23 01:23:23,818] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5100128Z - 2022-11-23T01:30:35.5100248Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5100298Z { 2022-11-23T01:30:35.5100438Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5100621Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5100738Z 'obj_weakref': None 2022-11-23T01:30:35.5100964Z 'guarded_class': 2022-11-23T01:30:35.5101027Z } 2022-11-23T01:30:35.5101090Z 2022-11-23T01:30:35.5101158Z - 2022-11-23T01:30:35.5101270Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5101333Z { 2022-11-23T01:30:35.5101475Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5101580Z 'code': None, 2022-11-23T01:30:35.5101788Z 'obj_weakref': 2022-11-23T01:30:35.5102039Z 'guarded_class': 2022-11-23T01:30:35.5102102Z } 2022-11-23T01:30:35.5102152Z 2022-11-23T01:30:35.5102220Z - 2022-11-23T01:30:35.5102339Z local 'model' NN_MODULE 2022-11-23T01:30:35.5102401Z { 2022-11-23T01:30:35.5102535Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5102700Z 'code': ['___check_obj_id(model, 140534620825264)'], 2022-11-23T01:30:35.5102921Z 'obj_weakref': 2022-11-23T01:30:35.5103140Z 'guarded_class': 2022-11-23T01:30:35.5103204Z } 2022-11-23T01:30:35.5103266Z 2022-11-23T01:30:35.5103335Z - 2022-11-23T01:30:35.5103455Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5103516Z { 2022-11-23T01:30:35.5103650Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5103851Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5103968Z 'obj_weakref': None 2022-11-23T01:30:35.5104187Z 'guarded_class': 2022-11-23T01:30:35.5104251Z } 2022-11-23T01:30:35.5104314Z 2022-11-23T01:30:35.5104382Z - 2022-11-23T01:30:35.5104524Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5104603Z { 2022-11-23T01:30:35.5104723Z 'guard_types': None, 2022-11-23T01:30:35.5104829Z 'code': None, 2022-11-23T01:30:35.5104943Z 'obj_weakref': None 2022-11-23T01:30:35.5105061Z 'guarded_class': None 2022-11-23T01:30:35.5105123Z } 2022-11-23T01:30:35.5105173Z 2022-11-23T01:30:35.5105241Z - 2022-11-23T01:30:35.5105382Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5105446Z { 2022-11-23T01:30:35.5105564Z 'guard_types': None, 2022-11-23T01:30:35.5105667Z 'code': None, 2022-11-23T01:30:35.5105781Z 'obj_weakref': None 2022-11-23T01:30:35.5105888Z 'guarded_class': None 2022-11-23T01:30:35.5105984Z } 2022-11-23T01:30:35.5106045Z 2022-11-23T01:30:35.5106305Z [2022-11-23 01:23:23,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111 2022-11-23T01:30:35.5106678Z [2022-11-23 01:23:23,839] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fr/cfr2e4xesehmsc6amykaufpyuhvaqrlddzrpe5vdgtbtpql62nfz.py 2022-11-23T01:30:35.5106939Z [2022-11-23 01:23:23,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111 2022-11-23T01:30:35.5107171Z [2022-11-23 01:23:23,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5107481Z [2022-11-23 01:23:23,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5107698Z [2022-11-23 01:23:23,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5107929Z [2022-11-23 01:23:23,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5108200Z [2022-11-23 01:23:23,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5108510Z [2022-11-23 01:23:23,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5108841Z [2022-11-23 01:23:23,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5109149Z [2022-11-23 01:23:23,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5109396Z [2022-11-23 01:23:23,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5109627Z [2022-11-23 01:23:23,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5109883Z [2022-11-23 01:23:23,955] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5110133Z [2022-11-23 01:23:23,974] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5110309Z [2022-11-23 01:23:23,974] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5110439Z __compiled_fn_113 .977 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5110527Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5110627Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5110724Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5110729Z 2022-11-23T01:30:35.5111053Z [2022-11-23 01:23:23,975] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5111145Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5111237Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5111311Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5111439Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5111525Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5111612Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5111687Z 12 RETURN_VALUE 2022-11-23T01:30:35.5111692Z 2022-11-23T01:30:35.5111752Z 2022-11-23T01:30:35.5112075Z [2022-11-23 01:23:23,975] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5112180Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_113) 2022-11-23T01:30:35.5112259Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5112346Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5112421Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5112508Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5112644Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5112723Z 12 RETURN_VALUE 2022-11-23T01:30:35.5112728Z 2022-11-23T01:30:35.5112791Z 2022-11-23T01:30:35.5112959Z [2022-11-23 01:23:23,976] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5113029Z - 2022-11-23T01:30:35.5113146Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5113210Z { 2022-11-23T01:30:35.5113351Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5113534Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5113650Z 'obj_weakref': None 2022-11-23T01:30:35.5113862Z 'guarded_class': 2022-11-23T01:30:35.5113927Z } 2022-11-23T01:30:35.5113990Z 2022-11-23T01:30:35.5114059Z - 2022-11-23T01:30:35.5114181Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5114245Z { 2022-11-23T01:30:35.5114386Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5114478Z 'code': None, 2022-11-23T01:30:35.5114694Z 'obj_weakref': 2022-11-23T01:30:35.5114947Z 'guarded_class': 2022-11-23T01:30:35.5115010Z } 2022-11-23T01:30:35.5115073Z 2022-11-23T01:30:35.5115142Z - 2022-11-23T01:30:35.5115260Z local 'model' NN_MODULE 2022-11-23T01:30:35.5115309Z { 2022-11-23T01:30:35.5115442Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5115608Z 'code': ['___check_obj_id(model, 140534622649696)'], 2022-11-23T01:30:35.5115826Z 'obj_weakref': 2022-11-23T01:30:35.5116060Z 'guarded_class': 2022-11-23T01:30:35.5116125Z } 2022-11-23T01:30:35.5116186Z 2022-11-23T01:30:35.5116242Z - 2022-11-23T01:30:35.5116365Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5116428Z { 2022-11-23T01:30:35.5116561Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5116808Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5116985Z 'obj_weakref': None 2022-11-23T01:30:35.5117326Z 'guarded_class': 2022-11-23T01:30:35.5117391Z } 2022-11-23T01:30:35.5117441Z 2022-11-23T01:30:35.5117514Z - 2022-11-23T01:30:35.5117657Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5117720Z { 2022-11-23T01:30:35.5117839Z 'guard_types': None, 2022-11-23T01:30:35.5117947Z 'code': None, 2022-11-23T01:30:35.5118051Z 'obj_weakref': None 2022-11-23T01:30:35.5118172Z 'guarded_class': None 2022-11-23T01:30:35.5118235Z } 2022-11-23T01:30:35.5118348Z 2022-11-23T01:30:35.5118418Z - 2022-11-23T01:30:35.5118562Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5118624Z { 2022-11-23T01:30:35.5118729Z 'guard_types': None, 2022-11-23T01:30:35.5118833Z 'code': None, 2022-11-23T01:30:35.5118950Z 'obj_weakref': None 2022-11-23T01:30:35.5119070Z 'guarded_class': None 2022-11-23T01:30:35.5119132Z } 2022-11-23T01:30:35.5119194Z 2022-11-23T01:30:35.5119456Z [2022-11-23 01:23:23,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112 2022-11-23T01:30:35.5119833Z [2022-11-23 01:23:23,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py 2022-11-23T01:30:35.5120200Z [2022-11-23 01:23:23,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112 2022-11-23T01:30:35.5120442Z [2022-11-23 01:23:24,121] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5120757Z [2022-11-23 01:23:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5120972Z [2022-11-23 01:23:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5121213Z [2022-11-23 01:23:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5121479Z [2022-11-23 01:23:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5121792Z [2022-11-23 01:23:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5122135Z [2022-11-23 01:23:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5122447Z [2022-11-23 01:23:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5122680Z [2022-11-23 01:23:24,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5122914Z [2022-11-23 01:23:24,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5123166Z [2022-11-23 01:23:24,139] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5123412Z [2022-11-23 01:23:24,159] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5123600Z [2022-11-23 01:23:24,159] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5123734Z __compiled_fn_114 .988 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5123827Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5123928Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5124013Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5124032Z 2022-11-23T01:30:35.5124343Z [2022-11-23 01:23:24,160] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5124436Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5124526Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5124615Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5124708Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5124889Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5124978Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5125044Z 12 RETURN_VALUE 2022-11-23T01:30:35.5125050Z 2022-11-23T01:30:35.5125111Z 2022-11-23T01:30:35.5125487Z [2022-11-23 01:23:24,160] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5125598Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_114) 2022-11-23T01:30:35.5125687Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5125776Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5125853Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5125940Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5126017Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5126091Z 12 RETURN_VALUE 2022-11-23T01:30:35.5126096Z 2022-11-23T01:30:35.5126156Z 2022-11-23T01:30:35.5126340Z [2022-11-23 01:23:24,161] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5126412Z - 2022-11-23T01:30:35.5126573Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5126637Z { 2022-11-23T01:30:35.5126764Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5126951Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5127070Z 'obj_weakref': None 2022-11-23T01:30:35.5127295Z 'guarded_class': 2022-11-23T01:30:35.5127359Z } 2022-11-23T01:30:35.5127422Z 2022-11-23T01:30:35.5127492Z - 2022-11-23T01:30:35.5127601Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5127664Z { 2022-11-23T01:30:35.5127806Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5127913Z 'code': None, 2022-11-23T01:30:35.5128122Z 'obj_weakref': 2022-11-23T01:30:35.5128371Z 'guarded_class': 2022-11-23T01:30:35.5128437Z } 2022-11-23T01:30:35.5128486Z 2022-11-23T01:30:35.5128554Z - 2022-11-23T01:30:35.5128676Z local 'model' NN_MODULE 2022-11-23T01:30:35.5128741Z { 2022-11-23T01:30:35.5128875Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5129043Z 'code': ['___check_obj_id(model, 140534622649696)'], 2022-11-23T01:30:35.5129260Z 'obj_weakref': 2022-11-23T01:30:35.5129479Z 'guarded_class': 2022-11-23T01:30:35.5129545Z } 2022-11-23T01:30:35.5129608Z 2022-11-23T01:30:35.5129678Z - 2022-11-23T01:30:35.5129797Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5129859Z { 2022-11-23T01:30:35.5129992Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5130196Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5130317Z 'obj_weakref': None 2022-11-23T01:30:35.5130537Z 'guarded_class': 2022-11-23T01:30:35.5130599Z } 2022-11-23T01:30:35.5130660Z 2022-11-23T01:30:35.5130729Z - 2022-11-23T01:30:35.5130871Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5130920Z { 2022-11-23T01:30:35.5131038Z 'guard_types': None, 2022-11-23T01:30:35.5131144Z 'code': None, 2022-11-23T01:30:35.5131259Z 'obj_weakref': None 2022-11-23T01:30:35.5131378Z 'guarded_class': None 2022-11-23T01:30:35.5131440Z } 2022-11-23T01:30:35.5131500Z 2022-11-23T01:30:35.5131555Z - 2022-11-23T01:30:35.5131696Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5131763Z { 2022-11-23T01:30:35.5131879Z 'guard_types': None, 2022-11-23T01:30:35.5131983Z 'code': None, 2022-11-23T01:30:35.5132126Z 'obj_weakref': None 2022-11-23T01:30:35.5132235Z 'guarded_class': None 2022-11-23T01:30:35.5132298Z } 2022-11-23T01:30:35.5132359Z 2022-11-23T01:30:35.5132621Z [2022-11-23 01:23:24,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113 2022-11-23T01:30:35.5132993Z [2022-11-23 01:23:25,595] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cnacpqhydy7ghwmngxbfwkyn5z5er6ylkvip5epon3d373awlpca.py 2022-11-23T01:30:35.5133256Z [2022-11-23 01:23:25,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113 2022-11-23T01:30:35.5133493Z [2022-11-23 01:23:25,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5133835Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5134050Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5134279Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5134544Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5134851Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5135184Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5135494Z [2022-11-23 01:23:25,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5135743Z [2022-11-23 01:23:25,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5135975Z [2022-11-23 01:23:25,822] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5136224Z [2022-11-23 01:23:25,823] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5136472Z [2022-11-23 01:23:25,895] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5136657Z [2022-11-23 01:23:25,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5136775Z __compiled_fn_115 .999 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5136863Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5136961Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5137059Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5137067Z 2022-11-23T01:30:35.5137393Z [2022-11-23 01:23:25,896] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5137486Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5137576Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5137661Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5137740Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5137823Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5137909Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5137982Z 12 RETURN_VALUE 2022-11-23T01:30:35.5137987Z 2022-11-23T01:30:35.5138049Z 2022-11-23T01:30:35.5138372Z [2022-11-23 01:23:25,896] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5138481Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_115) 2022-11-23T01:30:35.5138556Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5138672Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5138750Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5138837Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5138926Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5138999Z 12 RETURN_VALUE 2022-11-23T01:30:35.5139004Z 2022-11-23T01:30:35.5139064Z 2022-11-23T01:30:35.5139234Z [2022-11-23 01:23:25,897] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5139303Z - 2022-11-23T01:30:35.5139419Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5139483Z { 2022-11-23T01:30:35.5139621Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5139803Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5139921Z 'obj_weakref': None 2022-11-23T01:30:35.5140176Z 'guarded_class': 2022-11-23T01:30:35.5140228Z } 2022-11-23T01:30:35.5140294Z 2022-11-23T01:30:35.5140363Z - 2022-11-23T01:30:35.5140486Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5140548Z { 2022-11-23T01:30:35.5140688Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5140780Z 'code': None, 2022-11-23T01:30:35.5140990Z 'obj_weakref': 2022-11-23T01:30:35.5141239Z 'guarded_class': 2022-11-23T01:30:35.5141302Z } 2022-11-23T01:30:35.5141364Z 2022-11-23T01:30:35.5141433Z - 2022-11-23T01:30:35.5141550Z local 'model' NN_MODULE 2022-11-23T01:30:35.5141600Z { 2022-11-23T01:30:35.5141735Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5141902Z 'code': ['___check_obj_id(model, 140534625555008)'], 2022-11-23T01:30:35.5142120Z 'obj_weakref': 2022-11-23T01:30:35.5142350Z 'guarded_class': 2022-11-23T01:30:35.5142412Z } 2022-11-23T01:30:35.5142474Z 2022-11-23T01:30:35.5142542Z - 2022-11-23T01:30:35.5142651Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5142712Z { 2022-11-23T01:30:35.5142847Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5143061Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5143178Z 'obj_weakref': None 2022-11-23T01:30:35.5143398Z 'guarded_class': 2022-11-23T01:30:35.5143462Z } 2022-11-23T01:30:35.5143511Z 2022-11-23T01:30:35.5143579Z - 2022-11-23T01:30:35.5143725Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5143789Z { 2022-11-23T01:30:35.5143906Z 'guard_types': None, 2022-11-23T01:30:35.5144010Z 'code': None, 2022-11-23T01:30:35.5144113Z 'obj_weakref': None 2022-11-23T01:30:35.5144232Z 'guarded_class': None 2022-11-23T01:30:35.5144293Z } 2022-11-23T01:30:35.5144355Z 2022-11-23T01:30:35.5144424Z - 2022-11-23T01:30:35.5144567Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5144627Z { 2022-11-23T01:30:35.5144732Z 'guard_types': None, 2022-11-23T01:30:35.5144835Z 'code': None, 2022-11-23T01:30:35.5144951Z 'obj_weakref': None 2022-11-23T01:30:35.5145069Z 'guarded_class': None 2022-11-23T01:30:35.5145130Z } 2022-11-23T01:30:35.5145194Z 2022-11-23T01:30:35.5145451Z [2022-11-23 01:23:25,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114 2022-11-23T01:30:35.5145488Z 2022-11-23T01:30:35.5145570Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5145639Z import torch 2022-11-23T01:30:35.5145705Z import random 2022-11-23T01:30:35.5145818Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5145938Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5145943Z 2022-11-23T01:30:35.5146019Z aten = torch.ops.aten 2022-11-23T01:30:35.5146152Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5146242Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5146246Z 2022-11-23T01:30:35.5146250Z 2022-11-23T01:30:35.5146325Z async_compile.wait(globals()) 2022-11-23T01:30:35.5146396Z del async_compile 2022-11-23T01:30:35.5146401Z 2022-11-23T01:30:35.5146470Z def call(args): 2022-11-23T01:30:35.5146617Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5146687Z args.clear() 2022-11-23T01:30:35.5146823Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.5146937Z assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1)) 2022-11-23T01:30:35.5147003Z del arg0_1 2022-11-23T01:30:35.5147055Z del arg1_1 2022-11-23T01:30:35.5147119Z del arg7_1 2022-11-23T01:30:35.5147188Z return (buf0, ) 2022-11-23T01:30:35.5147194Z 2022-11-23T01:30:35.5147198Z 2022-11-23T01:30:35.5147273Z if __name__ == "__main__": 2022-11-23T01:30:35.5147385Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5147505Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5147718Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5147898Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5148092Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5148281Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5148466Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5148648Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5148826Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5149050Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5149204Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5149209Z 2022-11-23T01:30:35.5149214Z 2022-11-23T01:30:35.5149305Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5149360Z import torch 2022-11-23T01:30:35.5149428Z import random 2022-11-23T01:30:35.5149548Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5149665Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5149670Z 2022-11-23T01:30:35.5149749Z aten = torch.ops.aten 2022-11-23T01:30:35.5149880Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5149969Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5149974Z 2022-11-23T01:30:35.5149978Z 2022-11-23T01:30:35.5150108Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5150300Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5150416Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5150516Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5150578Z { 2022-11-23T01:30:35.5150673Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5150736Z { 2022-11-23T01:30:35.5150811Z #pragma omp for 2022-11-23T01:30:35.5150884Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.5150946Z { 2022-11-23T01:30:35.5151023Z #pragma GCC ivdep 2022-11-23T01:30:35.5151138Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.5151202Z { 2022-11-23T01:30:35.5151282Z #pragma GCC ivdep 2022-11-23T01:30:35.5151358Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:30:35.5151423Z { 2022-11-23T01:30:35.5151488Z { 2022-11-23T01:30:35.5151556Z { 2022-11-23T01:30:35.5151665Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:30:35.5151767Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:30:35.5151834Z } 2022-11-23T01:30:35.5151887Z } 2022-11-23T01:30:35.5151951Z } 2022-11-23T01:30:35.5152013Z } 2022-11-23T01:30:35.5152073Z } 2022-11-23T01:30:35.5152135Z } 2022-11-23T01:30:35.5152222Z } 2022-11-23T01:30:35.5152301Z ''') 2022-11-23T01:30:35.5152306Z 2022-11-23T01:30:35.5152309Z 2022-11-23T01:30:35.5152387Z async_compile.wait(globals()) 2022-11-23T01:30:35.5152460Z del async_compile 2022-11-23T01:30:35.5152465Z 2022-11-23T01:30:35.5152535Z def call(args): 2022-11-23T01:30:35.5152652Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5152722Z args.clear() 2022-11-23T01:30:35.5152929Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5153061Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5153127Z del arg0_1 2022-11-23T01:30:35.5153248Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:30:35.5153358Z assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128)) 2022-11-23T01:30:35.5153424Z del arg1_1 2022-11-23T01:30:35.5153488Z del arg7_1 2022-11-23T01:30:35.5153561Z return (buf1, ) 2022-11-23T01:30:35.5153566Z 2022-11-23T01:30:35.5153570Z 2022-11-23T01:30:35.5153644Z if __name__ == "__main__": 2022-11-23T01:30:35.5153760Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5153869Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5154081Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5154275Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5154466Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5154654Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5154841Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5155028Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5155206Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5155418Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5155577Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5155583Z 2022-11-23T01:30:35.5155587Z 2022-11-23T01:30:35.5155681Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5155750Z import torch 2022-11-23T01:30:35.5155819Z import random 2022-11-23T01:30:35.5155935Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5156053Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5156058Z 2022-11-23T01:30:35.5156134Z aten = torch.ops.aten 2022-11-23T01:30:35.5156254Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5156345Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5156349Z 2022-11-23T01:30:35.5156353Z 2022-11-23T01:30:35.5156441Z async_compile.wait(globals()) 2022-11-23T01:30:35.5156517Z del async_compile 2022-11-23T01:30:35.5156522Z 2022-11-23T01:30:35.5156594Z def call(args): 2022-11-23T01:30:35.5156738Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5156810Z args.clear() 2022-11-23T01:30:35.5156952Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5157053Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5157120Z del arg0_1 2022-11-23T01:30:35.5157185Z del arg1_1 2022-11-23T01:30:35.5157250Z del arg7_1 2022-11-23T01:30:35.5157320Z return (buf0, ) 2022-11-23T01:30:35.5157325Z 2022-11-23T01:30:35.5157329Z 2022-11-23T01:30:35.5157403Z if __name__ == "__main__": 2022-11-23T01:30:35.5157514Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5157635Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5157882Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5158074Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5158265Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5158449Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5158635Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5158818Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5158996Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5159226Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5159368Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5159386Z 2022-11-23T01:30:35.5159393Z 2022-11-23T01:30:35.5159473Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5159543Z import torch 2022-11-23T01:30:35.5159612Z import random 2022-11-23T01:30:35.5159729Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5159850Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5159854Z 2022-11-23T01:30:35.5159932Z aten = torch.ops.aten 2022-11-23T01:30:35.5160144Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5160224Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5160229Z 2022-11-23T01:30:35.5160247Z 2022-11-23T01:30:35.5160369Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5160573Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5160692Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5160792Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5160855Z { 2022-11-23T01:30:35.5160954Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5161016Z { 2022-11-23T01:30:35.5161093Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5161177Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5161240Z { 2022-11-23T01:30:35.5161330Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5161395Z { 2022-11-23T01:30:35.5161459Z { 2022-11-23T01:30:35.5161512Z { 2022-11-23T01:30:35.5161615Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5161711Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5161779Z } 2022-11-23T01:30:35.5161843Z } 2022-11-23T01:30:35.5161906Z } 2022-11-23T01:30:35.5161968Z } 2022-11-23T01:30:35.5162018Z } 2022-11-23T01:30:35.5162080Z } 2022-11-23T01:30:35.5162157Z ''') 2022-11-23T01:30:35.5162163Z 2022-11-23T01:30:35.5162167Z 2022-11-23T01:30:35.5162258Z async_compile.wait(globals()) 2022-11-23T01:30:35.5162329Z del async_compile 2022-11-23T01:30:35.5162334Z 2022-11-23T01:30:35.5162404Z def call(args): 2022-11-23T01:30:35.5162564Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5162636Z args.clear() 2022-11-23T01:30:35.5162860Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5162994Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5163062Z del arg7_1 2022-11-23T01:30:35.5163202Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5163316Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5163384Z del arg0_1 2022-11-23T01:30:35.5163452Z del arg1_1 2022-11-23T01:30:35.5163510Z return (buf1, ) 2022-11-23T01:30:35.5163514Z 2022-11-23T01:30:35.5163558Z 2022-11-23T01:30:35.5163623Z if __name__ == "__main__": 2022-11-23T01:30:35.5163737Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5163859Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5164075Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5164267Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5164457Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5164641Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5164922Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5165109Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5165291Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5165520Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5165677Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5165683Z 2022-11-23T01:30:35.5166055Z [2022-11-23 01:23:25,912] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py 2022-11-23T01:30:35.5166320Z [2022-11-23 01:23:25,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114 2022-11-23T01:30:35.5166563Z [2022-11-23 01:23:26,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5166867Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5175306Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5175657Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5175941Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5176263Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5176596Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5176910Z [2022-11-23 01:23:26,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5177158Z [2022-11-23 01:23:26,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5177390Z [2022-11-23 01:23:26,555] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5177743Z [2022-11-23 01:23:26,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5177993Z [2022-11-23 01:23:26,629] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5178181Z [2022-11-23 01:23:26,630] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5178315Z __compiled_fn_116 .1010 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5178407Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5178506Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5178604Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5178611Z 2022-11-23T01:30:35.5178939Z [2022-11-23 01:23:26,630] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5179033Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5179155Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5179244Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5179336Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5179421Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5179506Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5179583Z 12 RETURN_VALUE 2022-11-23T01:30:35.5179588Z 2022-11-23T01:30:35.5179648Z 2022-11-23T01:30:35.5179964Z [2022-11-23 01:23:26,630] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5180073Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_116) 2022-11-23T01:30:35.5180159Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5180247Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5180322Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5180411Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5180500Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5180572Z 12 RETURN_VALUE 2022-11-23T01:30:35.5180579Z 2022-11-23T01:30:35.5180627Z 2022-11-23T01:30:35.5180805Z [2022-11-23 01:23:26,631] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5180874Z - 2022-11-23T01:30:35.5180993Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5181057Z { 2022-11-23T01:30:35.5181195Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5181379Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5181486Z 'obj_weakref': None 2022-11-23T01:30:35.5181711Z 'guarded_class': 2022-11-23T01:30:35.5181775Z } 2022-11-23T01:30:35.5181839Z 2022-11-23T01:30:35.5181908Z - 2022-11-23T01:30:35.5182032Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5182094Z { 2022-11-23T01:30:35.5182221Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5182328Z 'code': None, 2022-11-23T01:30:35.5182535Z 'obj_weakref': 2022-11-23T01:30:35.5182788Z 'guarded_class': 2022-11-23T01:30:35.5182850Z } 2022-11-23T01:30:35.5182911Z 2022-11-23T01:30:35.5182981Z - 2022-11-23T01:30:35.5183086Z local 'model' NN_MODULE 2022-11-23T01:30:35.5183147Z { 2022-11-23T01:30:35.5183279Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5183446Z 'code': ['___check_obj_id(model, 140534625555008)'], 2022-11-23T01:30:35.5183665Z 'obj_weakref': 2022-11-23T01:30:35.5183900Z 'guarded_class': 2022-11-23T01:30:35.5183964Z } 2022-11-23T01:30:35.5184014Z 2022-11-23T01:30:35.5184108Z - 2022-11-23T01:30:35.5184231Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5184295Z { 2022-11-23T01:30:35.5184429Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5184644Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5184763Z 'obj_weakref': None 2022-11-23T01:30:35.5184972Z 'guarded_class': 2022-11-23T01:30:35.5185033Z } 2022-11-23T01:30:35.5185094Z 2022-11-23T01:30:35.5185161Z - 2022-11-23T01:30:35.5185306Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5185369Z { 2022-11-23T01:30:35.5185487Z 'guard_types': None, 2022-11-23T01:30:35.5185609Z 'code': None, 2022-11-23T01:30:35.5185725Z 'obj_weakref': None 2022-11-23T01:30:35.5185845Z 'guarded_class': None 2022-11-23T01:30:35.5185910Z } 2022-11-23T01:30:35.5185973Z 2022-11-23T01:30:35.5186039Z - 2022-11-23T01:30:35.5186171Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5186231Z { 2022-11-23T01:30:35.5186347Z 'guard_types': None, 2022-11-23T01:30:35.5186450Z 'code': None, 2022-11-23T01:30:35.5186565Z 'obj_weakref': None 2022-11-23T01:30:35.5186683Z 'guarded_class': None 2022-11-23T01:30:35.5186746Z } 2022-11-23T01:30:35.5186796Z 2022-11-23T01:30:35.5187055Z [2022-11-23 01:23:26,642] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115 2022-11-23T01:30:35.5187421Z [2022-11-23 01:23:28,109] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2rfaa6g2pe6xz2wid37wv72lbuka7yvue7tqaqa4sist5rqm7j.py 2022-11-23T01:30:35.5187689Z [2022-11-23 01:23:28,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115 2022-11-23T01:30:35.5187924Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5188237Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5188452Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5188695Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5188963Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5189264Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5189602Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5189908Z [2022-11-23 01:23:28,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5190150Z [2022-11-23 01:23:28,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5190382Z [2022-11-23 01:23:28,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5190635Z [2022-11-23 01:23:28,644] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5190882Z [2022-11-23 01:23:28,664] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5191073Z [2022-11-23 01:23:28,664] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5191234Z __compiled_fn_117 .1021 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5191325Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5191412Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5191507Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5191512Z 2022-11-23T01:30:35.5191837Z [2022-11-23 01:23:28,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5191931Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5192022Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5192109Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5192199Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5192271Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5192390Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5192465Z 12 RETURN_VALUE 2022-11-23T01:30:35.5192470Z 2022-11-23T01:30:35.5192532Z 2022-11-23T01:30:35.5192858Z [2022-11-23 01:23:28,664] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5192965Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_117) 2022-11-23T01:30:35.5193053Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5193140Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5193203Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5193291Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5193380Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5193452Z 12 RETURN_VALUE 2022-11-23T01:30:35.5193457Z 2022-11-23T01:30:35.5193517Z 2022-11-23T01:30:35.5193699Z [2022-11-23 01:23:28,665] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5193770Z - 2022-11-23T01:30:35.5193874Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5193939Z { 2022-11-23T01:30:35.5194079Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5194268Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5194385Z 'obj_weakref': None 2022-11-23T01:30:35.5194609Z 'guarded_class': 2022-11-23T01:30:35.5194673Z } 2022-11-23T01:30:35.5194724Z 2022-11-23T01:30:35.5194791Z - 2022-11-23T01:30:35.5194913Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5194976Z { 2022-11-23T01:30:35.5195121Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5195226Z 'code': None, 2022-11-23T01:30:35.5195438Z 'obj_weakref': 2022-11-23T01:30:35.5195680Z 'guarded_class': 2022-11-23T01:30:35.5195742Z } 2022-11-23T01:30:35.5195805Z 2022-11-23T01:30:35.5195872Z - 2022-11-23T01:30:35.5195992Z local 'model' NN_MODULE 2022-11-23T01:30:35.5196053Z { 2022-11-23T01:30:35.5196185Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5196338Z 'code': ['___check_obj_id(model, 140534659305376)'], 2022-11-23T01:30:35.5196555Z 'obj_weakref': 2022-11-23T01:30:35.5196785Z 'guarded_class': 2022-11-23T01:30:35.5196847Z } 2022-11-23T01:30:35.5196911Z 2022-11-23T01:30:35.5196980Z - 2022-11-23T01:30:35.5197099Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5197149Z { 2022-11-23T01:30:35.5197284Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5197499Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5197644Z 'obj_weakref': None 2022-11-23T01:30:35.5197866Z 'guarded_class': 2022-11-23T01:30:35.5197927Z } 2022-11-23T01:30:35.5197989Z 2022-11-23T01:30:35.5198044Z - 2022-11-23T01:30:35.5198188Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5198251Z { 2022-11-23T01:30:35.5198368Z 'guard_types': None, 2022-11-23T01:30:35.5198473Z 'code': None, 2022-11-23T01:30:35.5198594Z 'obj_weakref': None 2022-11-23T01:30:35.5198713Z 'guarded_class': None 2022-11-23T01:30:35.5198764Z } 2022-11-23T01:30:35.5198825Z 2022-11-23T01:30:35.5198892Z - 2022-11-23T01:30:35.5199067Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5199129Z { 2022-11-23T01:30:35.5199246Z 'guard_types': None, 2022-11-23T01:30:35.5199353Z 'code': None, 2022-11-23T01:30:35.5199456Z 'obj_weakref': None 2022-11-23T01:30:35.5199574Z 'guarded_class': None 2022-11-23T01:30:35.5199636Z } 2022-11-23T01:30:35.5199698Z 2022-11-23T01:30:35.5199955Z [2022-11-23 01:23:28,675] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116 2022-11-23T01:30:35.5200418Z [2022-11-23 01:23:28,680] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py 2022-11-23T01:30:35.5200684Z [2022-11-23 01:23:28,680] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116 2022-11-23T01:30:35.5200919Z [2022-11-23 01:23:28,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5201224Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5201444Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5201689Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5201956Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5202268Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5202603Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5202916Z [2022-11-23 01:23:28,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5203166Z [2022-11-23 01:23:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5203399Z [2022-11-23 01:23:28,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5203649Z [2022-11-23 01:23:28,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5203885Z [2022-11-23 01:23:28,833] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5204072Z [2022-11-23 01:23:28,834] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5204205Z __compiled_fn_118 .1032 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5204294Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5204392Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5204493Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5204498Z 2022-11-23T01:30:35.5205041Z [2022-11-23 01:23:28,834] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5205140Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5205218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5205304Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5205398Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5205483Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5205572Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5205647Z 12 RETURN_VALUE 2022-11-23T01:30:35.5205652Z 2022-11-23T01:30:35.5205714Z 2022-11-23T01:30:35.5206029Z [2022-11-23 01:23:28,834] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5206174Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_118) 2022-11-23T01:30:35.5206263Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5206354Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5206431Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5206518Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5206609Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5206684Z 12 RETURN_VALUE 2022-11-23T01:30:35.5206689Z 2022-11-23T01:30:35.5206738Z 2022-11-23T01:30:35.5206919Z [2022-11-23 01:23:28,835] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5206989Z - 2022-11-23T01:30:35.5207108Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5207171Z { 2022-11-23T01:30:35.5207310Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5207495Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5207603Z 'obj_weakref': None 2022-11-23T01:30:35.5207827Z 'guarded_class': 2022-11-23T01:30:35.5207893Z } 2022-11-23T01:30:35.5207955Z 2022-11-23T01:30:35.5208024Z - 2022-11-23T01:30:35.5208144Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5208205Z { 2022-11-23T01:30:35.5208334Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5208439Z 'code': None, 2022-11-23T01:30:35.5208649Z 'obj_weakref': 2022-11-23T01:30:35.5208898Z 'guarded_class': 2022-11-23T01:30:35.5208962Z } 2022-11-23T01:30:35.5209022Z 2022-11-23T01:30:35.5209090Z - 2022-11-23T01:30:35.5209195Z local 'model' NN_MODULE 2022-11-23T01:30:35.5209258Z { 2022-11-23T01:30:35.5209392Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5209559Z 'code': ['___check_obj_id(model, 140534659305376)'], 2022-11-23T01:30:35.5209780Z 'obj_weakref': 2022-11-23T01:30:35.5210012Z 'guarded_class': 2022-11-23T01:30:35.5210074Z } 2022-11-23T01:30:35.5210125Z 2022-11-23T01:30:35.5210193Z - 2022-11-23T01:30:35.5210315Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5210377Z { 2022-11-23T01:30:35.5210512Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5210729Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5210847Z 'obj_weakref': None 2022-11-23T01:30:35.5211054Z 'guarded_class': 2022-11-23T01:30:35.5211118Z } 2022-11-23T01:30:35.5211180Z 2022-11-23T01:30:35.5211248Z - 2022-11-23T01:30:35.5211425Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5211488Z { 2022-11-23T01:30:35.5211606Z 'guard_types': None, 2022-11-23T01:30:35.5211699Z 'code': None, 2022-11-23T01:30:35.5211814Z 'obj_weakref': None 2022-11-23T01:30:35.5211932Z 'guarded_class': None 2022-11-23T01:30:35.5211995Z } 2022-11-23T01:30:35.5212059Z 2022-11-23T01:30:35.5212128Z - 2022-11-23T01:30:35.5212270Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5212320Z { 2022-11-23T01:30:35.5212436Z 'guard_types': None, 2022-11-23T01:30:35.5212539Z 'code': None, 2022-11-23T01:30:35.5212653Z 'obj_weakref': None 2022-11-23T01:30:35.5212772Z 'guarded_class': None 2022-11-23T01:30:35.5212863Z } 2022-11-23T01:30:35.5212913Z 2022-11-23T01:30:35.5213176Z [2022-11-23 01:23:28,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117 2022-11-23T01:30:35.5213539Z [2022-11-23 01:23:28,856] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpnf53kwmvder33b67ixassl3lejnar3tszy45o23d3mkp3dzjkt.py 2022-11-23T01:30:35.5213801Z [2022-11-23 01:23:28,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117 2022-11-23T01:30:35.5214038Z [2022-11-23 01:23:29,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5214351Z [2022-11-23 01:23:29,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5214564Z [2022-11-23 01:23:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5214807Z [2022-11-23 01:23:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5215074Z [2022-11-23 01:23:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5215383Z [2022-11-23 01:23:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5215705Z [2022-11-23 01:23:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5216017Z [2022-11-23 01:23:29,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5216260Z [2022-11-23 01:23:29,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5216492Z [2022-11-23 01:23:29,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5216746Z [2022-11-23 01:23:29,070] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5216993Z [2022-11-23 01:23:29,142] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5217178Z [2022-11-23 01:23:29,142] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5217310Z __compiled_fn_119 .1043 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5217400Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5217486Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5217583Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5217589Z 2022-11-23T01:30:35.5217910Z [2022-11-23 01:23:29,143] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5218002Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5218094Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5218183Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5218305Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5218390Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5218466Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5218540Z 12 RETURN_VALUE 2022-11-23T01:30:35.5218545Z 2022-11-23T01:30:35.5218604Z 2022-11-23T01:30:35.5218927Z [2022-11-23 01:23:29,143] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5219033Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_119) 2022-11-23T01:30:35.5219123Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5219211Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5219275Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5219404Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5219494Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5219569Z 12 RETURN_VALUE 2022-11-23T01:30:35.5219576Z 2022-11-23T01:30:35.5219637Z 2022-11-23T01:30:35.5219819Z [2022-11-23 01:23:29,144] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5219888Z - 2022-11-23T01:30:35.5219993Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5220055Z { 2022-11-23T01:30:35.5220196Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5220380Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5220499Z 'obj_weakref': None 2022-11-23T01:30:35.5220725Z 'guarded_class': 2022-11-23T01:30:35.5220792Z } 2022-11-23T01:30:35.5220855Z 2022-11-23T01:30:35.5220911Z - 2022-11-23T01:30:35.5221032Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5221098Z { 2022-11-23T01:30:35.5221241Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5221349Z 'code': None, 2022-11-23T01:30:35.5221556Z 'obj_weakref': 2022-11-23T01:30:35.5221808Z 'guarded_class': 2022-11-23T01:30:35.5221858Z } 2022-11-23T01:30:35.5221920Z 2022-11-23T01:30:35.5221990Z - 2022-11-23T01:30:35.5222108Z local 'model' NN_MODULE 2022-11-23T01:30:35.5222170Z { 2022-11-23T01:30:35.5222304Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5222459Z 'code': ['___check_obj_id(model, 140534625562448)'], 2022-11-23T01:30:35.5222676Z 'obj_weakref': 2022-11-23T01:30:35.5222911Z 'guarded_class': 2022-11-23T01:30:35.5222973Z } 2022-11-23T01:30:35.5223035Z 2022-11-23T01:30:35.5223109Z - 2022-11-23T01:30:35.5223229Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5223292Z { 2022-11-23T01:30:35.5223414Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5223629Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5223747Z 'obj_weakref': None 2022-11-23T01:30:35.5223965Z 'guarded_class': 2022-11-23T01:30:35.5224027Z } 2022-11-23T01:30:35.5224089Z 2022-11-23T01:30:35.5224156Z - 2022-11-23T01:30:35.5224286Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5224347Z { 2022-11-23T01:30:35.5224465Z 'guard_types': None, 2022-11-23T01:30:35.5224572Z 'code': None, 2022-11-23T01:30:35.5224688Z 'obj_weakref': None 2022-11-23T01:30:35.5224807Z 'guarded_class': None 2022-11-23T01:30:35.5224888Z } 2022-11-23T01:30:35.5224950Z 2022-11-23T01:30:35.5225017Z - 2022-11-23T01:30:35.5225161Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5225225Z { 2022-11-23T01:30:35.5225343Z 'guard_types': None, 2022-11-23T01:30:35.5225447Z 'code': None, 2022-11-23T01:30:35.5225550Z 'obj_weakref': None 2022-11-23T01:30:35.5225667Z 'guarded_class': None 2022-11-23T01:30:35.5225728Z } 2022-11-23T01:30:35.5225790Z 2022-11-23T01:30:35.5226047Z [2022-11-23 01:23:29,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118 2022-11-23T01:30:35.5226052Z 2022-11-23T01:30:35.5226144Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5226239Z import torch 2022-11-23T01:30:35.5226295Z import random 2022-11-23T01:30:35.5226411Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5226534Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5226539Z 2022-11-23T01:30:35.5226618Z aten = torch.ops.aten 2022-11-23T01:30:35.5226754Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5226845Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5226850Z 2022-11-23T01:30:35.5226854Z 2022-11-23T01:30:35.5226941Z async_compile.wait(globals()) 2022-11-23T01:30:35.5227012Z del async_compile 2022-11-23T01:30:35.5227017Z 2022-11-23T01:30:35.5227074Z def call(args): 2022-11-23T01:30:35.5227191Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5227261Z args.clear() 2022-11-23T01:30:35.5227401Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5227520Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5227590Z del arg0_1 2022-11-23T01:30:35.5227657Z del arg1_1 2022-11-23T01:30:35.5227723Z del arg7_1 2022-11-23T01:30:35.5227780Z return (buf0, ) 2022-11-23T01:30:35.5227785Z 2022-11-23T01:30:35.5227789Z 2022-11-23T01:30:35.5227863Z if __name__ == "__main__": 2022-11-23T01:30:35.5227975Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5228098Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5228321Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5228517Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5228709Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5228901Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5229080Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5229265Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5229444Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5229678Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5229834Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5229839Z 2022-11-23T01:30:35.5229843Z 2022-11-23T01:30:35.5229935Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5230003Z import torch 2022-11-23T01:30:35.5230071Z import random 2022-11-23T01:30:35.5230173Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5230291Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5230296Z 2022-11-23T01:30:35.5230374Z aten = torch.ops.aten 2022-11-23T01:30:35.5230509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5230599Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5230605Z 2022-11-23T01:30:35.5230609Z 2022-11-23T01:30:35.5230767Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5230974Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5231091Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5231178Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5231238Z { 2022-11-23T01:30:35.5231335Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5231398Z { 2022-11-23T01:30:35.5231475Z #pragma omp for 2022-11-23T01:30:35.5231556Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5231619Z { 2022-11-23T01:30:35.5231685Z #pragma GCC ivdep 2022-11-23T01:30:35.5231774Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5231838Z { 2022-11-23T01:30:35.5231931Z { 2022-11-23T01:30:35.5231996Z { 2022-11-23T01:30:35.5232099Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5232196Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5232250Z } 2022-11-23T01:30:35.5232313Z } 2022-11-23T01:30:35.5232374Z } 2022-11-23T01:30:35.5232434Z } 2022-11-23T01:30:35.5232493Z } 2022-11-23T01:30:35.5232553Z } 2022-11-23T01:30:35.5232619Z ''') 2022-11-23T01:30:35.5232624Z 2022-11-23T01:30:35.5232639Z 2022-11-23T01:30:35.5232714Z async_compile.wait(globals()) 2022-11-23T01:30:35.5232784Z del async_compile 2022-11-23T01:30:35.5232788Z 2022-11-23T01:30:35.5232858Z def call(args): 2022-11-23T01:30:35.5232974Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5233045Z args.clear() 2022-11-23T01:30:35.5233280Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5233417Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5233472Z del arg7_1 2022-11-23T01:30:35.5233613Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5233730Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5233798Z del arg0_1 2022-11-23T01:30:35.5233862Z del arg1_1 2022-11-23T01:30:35.5233932Z return (buf1, ) 2022-11-23T01:30:35.5233937Z 2022-11-23T01:30:35.5233941Z 2022-11-23T01:30:35.5234017Z if __name__ == "__main__": 2022-11-23T01:30:35.5234129Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5234240Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5234454Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5234649Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5234838Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5235028Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5235215Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5235401Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5235577Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5235794Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5235950Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5235955Z 2022-11-23T01:30:35.5235959Z 2022-11-23T01:30:35.5236051Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5236124Z import torch 2022-11-23T01:30:35.5236192Z import random 2022-11-23T01:30:35.5236306Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5236453Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5236458Z 2022-11-23T01:30:35.5236535Z aten = torch.ops.aten 2022-11-23T01:30:35.5236655Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5236743Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5236748Z 2022-11-23T01:30:35.5236752Z 2022-11-23T01:30:35.5236839Z async_compile.wait(globals()) 2022-11-23T01:30:35.5236910Z del async_compile 2022-11-23T01:30:35.5236915Z 2022-11-23T01:30:35.5236984Z def call(args): 2022-11-23T01:30:35.5237097Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5237168Z args.clear() 2022-11-23T01:30:35.5237306Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5237408Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5237505Z del arg0_1 2022-11-23T01:30:35.5237570Z del arg1_1 2022-11-23T01:30:35.5237635Z del arg7_1 2022-11-23T01:30:35.5237707Z return (buf0, ) 2022-11-23T01:30:35.5237712Z 2022-11-23T01:30:35.5237716Z 2022-11-23T01:30:35.5237790Z if __name__ == "__main__": 2022-11-23T01:30:35.5237901Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5238009Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5238226Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5238416Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5238606Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5238789Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5238973Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5239157Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5239337Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5239556Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5239708Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5239713Z 2022-11-23T01:30:35.5239717Z 2022-11-23T01:30:35.5239810Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5239878Z import torch 2022-11-23T01:30:35.5239949Z import random 2022-11-23T01:30:35.5240154Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5240278Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5240283Z 2022-11-23T01:30:35.5240361Z aten = torch.ops.aten 2022-11-23T01:30:35.5240480Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5240575Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5240579Z 2022-11-23T01:30:35.5240584Z 2022-11-23T01:30:35.5240723Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5240926Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5241044Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5241141Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5241203Z { 2022-11-23T01:30:35.5241303Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5241354Z { 2022-11-23T01:30:35.5241444Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5241526Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5241588Z { 2022-11-23T01:30:35.5241679Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5241743Z { 2022-11-23T01:30:35.5241807Z { 2022-11-23T01:30:35.5241861Z { 2022-11-23T01:30:35.5241963Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5242061Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5242163Z } 2022-11-23T01:30:35.5242230Z } 2022-11-23T01:30:35.5242292Z } 2022-11-23T01:30:35.5242352Z } 2022-11-23T01:30:35.5242400Z } 2022-11-23T01:30:35.5242459Z } 2022-11-23T01:30:35.5242536Z ''') 2022-11-23T01:30:35.5242541Z 2022-11-23T01:30:35.5242545Z 2022-11-23T01:30:35.5242634Z async_compile.wait(globals()) 2022-11-23T01:30:35.5242704Z del async_compile 2022-11-23T01:30:35.5242709Z 2022-11-23T01:30:35.5242778Z def call(args): 2022-11-23T01:30:35.5242893Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5242952Z args.clear() 2022-11-23T01:30:35.5243183Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5243349Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5243416Z del arg7_1 2022-11-23T01:30:35.5243558Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5243675Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5243743Z del arg0_1 2022-11-23T01:30:35.5243795Z del arg1_1 2022-11-23T01:30:35.5243865Z return (buf1, ) 2022-11-23T01:30:35.5243870Z 2022-11-23T01:30:35.5243874Z 2022-11-23T01:30:35.5243947Z if __name__ == "__main__": 2022-11-23T01:30:35.5244059Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5244179Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5244396Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5244586Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5244889Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5245064Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5245251Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5245436Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5245615Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5245842Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5245996Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5246002Z 2022-11-23T01:30:35.5246378Z [2022-11-23 01:23:29,160] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py 2022-11-23T01:30:35.5246647Z [2022-11-23 01:23:29,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118 2022-11-23T01:30:35.5246892Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5247205Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5247410Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5247653Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5247919Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5248233Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5248574Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5248939Z [2022-11-23 01:23:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5249187Z [2022-11-23 01:23:29,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5249421Z [2022-11-23 01:23:29,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5249675Z [2022-11-23 01:23:29,783] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5249923Z [2022-11-23 01:23:29,857] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5250099Z [2022-11-23 01:23:29,857] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5250271Z __compiled_fn_120 .1054 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5250359Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5250462Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5250561Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5250566Z 2022-11-23T01:30:35.5250893Z [2022-11-23 01:23:29,858] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5250987Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5251079Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5251152Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5251243Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5251327Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5251415Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5251491Z 12 RETURN_VALUE 2022-11-23T01:30:35.5251498Z 2022-11-23T01:30:35.5251558Z 2022-11-23T01:30:35.5251879Z [2022-11-23 01:23:29,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5251974Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_120) 2022-11-23T01:30:35.5252062Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5252150Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5252223Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5252309Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5252397Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5252470Z 12 RETURN_VALUE 2022-11-23T01:30:35.5252476Z 2022-11-23T01:30:35.5252535Z 2022-11-23T01:30:35.5252701Z [2022-11-23 01:23:29,859] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5252770Z - 2022-11-23T01:30:35.5252887Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5252954Z { 2022-11-23T01:30:35.5253093Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5253277Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5253395Z 'obj_weakref': None 2022-11-23T01:30:35.5253605Z 'guarded_class': 2022-11-23T01:30:35.5253668Z } 2022-11-23T01:30:35.5253731Z 2022-11-23T01:30:35.5253801Z - 2022-11-23T01:30:35.5253923Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5253987Z { 2022-11-23T01:30:35.5254115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5254220Z 'code': None, 2022-11-23T01:30:35.5254427Z 'obj_weakref': 2022-11-23T01:30:35.5254678Z 'guarded_class': 2022-11-23T01:30:35.5254742Z } 2022-11-23T01:30:35.5254804Z 2022-11-23T01:30:35.5254874Z - 2022-11-23T01:30:35.5254991Z local 'model' NN_MODULE 2022-11-23T01:30:35.5255069Z { 2022-11-23T01:30:35.5255202Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5255369Z 'code': ['___check_obj_id(model, 140534625562448)'], 2022-11-23T01:30:35.5255590Z 'obj_weakref': 2022-11-23T01:30:35.5255822Z 'guarded_class': 2022-11-23T01:30:35.5255883Z } 2022-11-23T01:30:35.5255945Z 2022-11-23T01:30:35.5256000Z - 2022-11-23T01:30:35.5256120Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5256181Z { 2022-11-23T01:30:35.5256314Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5256529Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5256677Z 'obj_weakref': None 2022-11-23T01:30:35.5256902Z 'guarded_class': 2022-11-23T01:30:35.5256952Z } 2022-11-23T01:30:35.5257013Z 2022-11-23T01:30:35.5257082Z - 2022-11-23T01:30:35.5257225Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5257287Z { 2022-11-23T01:30:35.5257407Z 'guard_types': None, 2022-11-23T01:30:35.5257510Z 'code': None, 2022-11-23T01:30:35.5257614Z 'obj_weakref': None 2022-11-23T01:30:35.5257733Z 'guarded_class': None 2022-11-23T01:30:35.5257794Z } 2022-11-23T01:30:35.5257858Z 2022-11-23T01:30:35.5257926Z - 2022-11-23T01:30:35.5258068Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5258118Z { 2022-11-23T01:30:35.5258236Z 'guard_types': None, 2022-11-23T01:30:35.5258339Z 'code': None, 2022-11-23T01:30:35.5258453Z 'obj_weakref': None 2022-11-23T01:30:35.5258574Z 'guarded_class': None 2022-11-23T01:30:35.5258634Z } 2022-11-23T01:30:35.5258697Z 2022-11-23T01:30:35.5258945Z [2022-11-23 01:23:29,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119 2022-11-23T01:30:35.5259318Z [2022-11-23 01:23:29,881] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakugsofdso7etktnucpcxukbl7qolhlyxtsft47uenxvagf6r2u.py 2022-11-23T01:30:35.5259581Z [2022-11-23 01:23:29,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119 2022-11-23T01:30:35.5259814Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5260128Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5260346Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5260588Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5260853Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5261161Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5261496Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5261794Z [2022-11-23 01:23:30,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5262040Z [2022-11-23 01:23:30,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5262303Z [2022-11-23 01:23:30,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5262558Z [2022-11-23 01:23:30,425] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5262803Z [2022-11-23 01:23:30,472] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5262990Z [2022-11-23 01:23:30,473] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5263125Z __compiled_fn_121 .1065 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5263213Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5263312Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5263397Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5263402Z 2022-11-23T01:30:35.5263775Z [2022-11-23 01:23:30,473] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5263870Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5263963Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5264048Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5264139Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5264222Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5264299Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5264372Z 12 RETURN_VALUE 2022-11-23T01:30:35.5264377Z 2022-11-23T01:30:35.5264435Z 2022-11-23T01:30:35.5264760Z [2022-11-23 01:23:30,474] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5264866Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_121) 2022-11-23T01:30:35.5264958Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5265046Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5265125Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5265198Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5265284Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5265358Z 12 RETURN_VALUE 2022-11-23T01:30:35.5265363Z 2022-11-23T01:30:35.5265423Z 2022-11-23T01:30:35.5265604Z [2022-11-23 01:23:30,475] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5265676Z - 2022-11-23T01:30:35.5265797Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5265848Z { 2022-11-23T01:30:35.5265988Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5266172Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5266290Z 'obj_weakref': None 2022-11-23T01:30:35.5266512Z 'guarded_class': 2022-11-23T01:30:35.5266573Z } 2022-11-23T01:30:35.5266642Z 2022-11-23T01:30:35.5266710Z - 2022-11-23T01:30:35.5266834Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5266884Z { 2022-11-23T01:30:35.5267027Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5267133Z 'code': None, 2022-11-23T01:30:35.5267344Z 'obj_weakref': 2022-11-23T01:30:35.5267594Z 'guarded_class': 2022-11-23T01:30:35.5267656Z } 2022-11-23T01:30:35.5267717Z 2022-11-23T01:30:35.5267772Z - 2022-11-23T01:30:35.5267890Z local 'model' NN_MODULE 2022-11-23T01:30:35.5267952Z { 2022-11-23T01:30:35.5268085Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5268254Z 'code': ['___check_obj_id(model, 140534646210912)'], 2022-11-23T01:30:35.5268472Z 'obj_weakref': 2022-11-23T01:30:35.5268735Z 'guarded_class': 2022-11-23T01:30:35.5268787Z } 2022-11-23T01:30:35.5268850Z 2022-11-23T01:30:35.5268919Z - 2022-11-23T01:30:35.5269040Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5269102Z { 2022-11-23T01:30:35.5269235Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5269451Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5269556Z 'obj_weakref': None 2022-11-23T01:30:35.5269775Z 'guarded_class': 2022-11-23T01:30:35.5269837Z } 2022-11-23T01:30:35.5269931Z 2022-11-23T01:30:35.5269999Z - 2022-11-23T01:30:35.5270142Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5270203Z { 2022-11-23T01:30:35.5270311Z 'guard_types': None, 2022-11-23T01:30:35.5270416Z 'code': None, 2022-11-23T01:30:35.5270530Z 'obj_weakref': None 2022-11-23T01:30:35.5270649Z 'guarded_class': None 2022-11-23T01:30:35.5270710Z } 2022-11-23T01:30:35.5270771Z 2022-11-23T01:30:35.5270838Z - 2022-11-23T01:30:35.5270969Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5271058Z { 2022-11-23T01:30:35.5271175Z 'guard_types': None, 2022-11-23T01:30:35.5271280Z 'code': None, 2022-11-23T01:30:35.5271394Z 'obj_weakref': None 2022-11-23T01:30:35.5271512Z 'guarded_class': None 2022-11-23T01:30:35.5271562Z } 2022-11-23T01:30:35.5271624Z 2022-11-23T01:30:35.5271884Z [2022-11-23 01:23:30,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120 2022-11-23T01:30:35.5272259Z [2022-11-23 01:23:30,502] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py 2022-11-23T01:30:35.5272522Z [2022-11-23 01:23:30,502] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120 2022-11-23T01:30:35.5272755Z [2022-11-23 01:23:30,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5273067Z [2022-11-23 01:23:30,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5273281Z [2022-11-23 01:23:30,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5273522Z [2022-11-23 01:23:30,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5273777Z [2022-11-23 01:23:30,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5274089Z [2022-11-23 01:23:30,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5274427Z [2022-11-23 01:23:30,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5274740Z [2022-11-23 01:23:30,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5274984Z [2022-11-23 01:23:30,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5275216Z [2022-11-23 01:23:30,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5275466Z [2022-11-23 01:23:30,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5275751Z [2022-11-23 01:23:30,722] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5275939Z [2022-11-23 01:23:30,722] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5276073Z __compiled_fn_122 .1076 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5276150Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5276254Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5276351Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5276356Z 2022-11-23T01:30:35.5276676Z [2022-11-23 01:23:30,722] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5276768Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5276857Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5276970Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5277063Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5277137Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5277225Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5277300Z 12 RETURN_VALUE 2022-11-23T01:30:35.5277305Z 2022-11-23T01:30:35.5277364Z 2022-11-23T01:30:35.5277689Z [2022-11-23 01:23:30,722] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5277795Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_122) 2022-11-23T01:30:35.5277884Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5277959Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5278034Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5278120Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5278208Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5278283Z 12 RETURN_VALUE 2022-11-23T01:30:35.5278287Z 2022-11-23T01:30:35.5278347Z 2022-11-23T01:30:35.5278528Z [2022-11-23 01:23:30,723] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5278598Z - 2022-11-23T01:30:35.5278702Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5278765Z { 2022-11-23T01:30:35.5278905Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5279087Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5279205Z 'obj_weakref': None 2022-11-23T01:30:35.5279430Z 'guarded_class': 2022-11-23T01:30:35.5279494Z } 2022-11-23T01:30:35.5279544Z 2022-11-23T01:30:35.5279614Z - 2022-11-23T01:30:35.5279736Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5279798Z { 2022-11-23T01:30:35.5279941Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5280123Z 'code': None, 2022-11-23T01:30:35.5280325Z 'obj_weakref': 2022-11-23T01:30:35.5280577Z 'guarded_class': 2022-11-23T01:30:35.5280640Z } 2022-11-23T01:30:35.5280703Z 2022-11-23T01:30:35.5280772Z - 2022-11-23T01:30:35.5280891Z local 'model' NN_MODULE 2022-11-23T01:30:35.5280953Z { 2022-11-23T01:30:35.5281075Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5281244Z 'code': ['___check_obj_id(model, 140534646210912)'], 2022-11-23T01:30:35.5281462Z 'obj_weakref': 2022-11-23T01:30:35.5281693Z 'guarded_class': 2022-11-23T01:30:35.5281759Z } 2022-11-23T01:30:35.5281822Z 2022-11-23T01:30:35.5281890Z - 2022-11-23T01:30:35.5282012Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5282101Z { 2022-11-23T01:30:35.5282236Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5282450Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5282569Z 'obj_weakref': None 2022-11-23T01:30:35.5282789Z 'guarded_class': 2022-11-23T01:30:35.5282851Z } 2022-11-23T01:30:35.5282913Z 2022-11-23T01:30:35.5282969Z - 2022-11-23T01:30:35.5283112Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5283176Z { 2022-11-23T01:30:35.5283293Z 'guard_types': None, 2022-11-23T01:30:35.5283398Z 'code': None, 2022-11-23T01:30:35.5283514Z 'obj_weakref': None 2022-11-23T01:30:35.5283652Z 'guarded_class': None 2022-11-23T01:30:35.5283714Z } 2022-11-23T01:30:35.5283775Z 2022-11-23T01:30:35.5283845Z - 2022-11-23T01:30:35.5283989Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5284052Z { 2022-11-23T01:30:35.5284168Z 'guard_types': None, 2022-11-23T01:30:35.5284260Z 'code': None, 2022-11-23T01:30:35.5284377Z 'obj_weakref': None 2022-11-23T01:30:35.5284498Z 'guarded_class': None 2022-11-23T01:30:35.5284560Z } 2022-11-23T01:30:35.5284623Z 2022-11-23T01:30:35.5285098Z [2022-11-23 01:23:30,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121 2022-11-23T01:30:35.5285466Z [2022-11-23 01:23:30,745] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5q/c5qdg5qds3n32wjlryyenwdn56jfo54wfo5haqjrapk7z6li5y5d.py 2022-11-23T01:30:35.5285727Z [2022-11-23 01:23:30,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121 2022-11-23T01:30:35.5285955Z [2022-11-23 01:23:30,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5286267Z [2022-11-23 01:23:30,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5286480Z [2022-11-23 01:23:30,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5286723Z [2022-11-23 01:23:30,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5286993Z [2022-11-23 01:23:30,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5287303Z [2022-11-23 01:23:30,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5287640Z [2022-11-23 01:23:30,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5287952Z [2022-11-23 01:23:30,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5288196Z [2022-11-23 01:23:31,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5288429Z [2022-11-23 01:23:31,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5288670Z [2022-11-23 01:23:31,004] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5288918Z [2022-11-23 01:23:31,110] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5289105Z [2022-11-23 01:23:31,111] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5289241Z __compiled_fn_123 .1087 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5289328Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5289475Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5289577Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5289583Z 2022-11-23T01:30:35.5289912Z [2022-11-23 01:23:31,111] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5289991Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5290080Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5290166Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5290257Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5290342Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5290431Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5290507Z 12 RETURN_VALUE 2022-11-23T01:30:35.5290546Z 2022-11-23T01:30:35.5290608Z 2022-11-23T01:30:35.5290927Z [2022-11-23 01:23:31,111] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5291035Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_123) 2022-11-23T01:30:35.5291123Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5291213Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5291288Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5291373Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5291463Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5291525Z 12 RETURN_VALUE 2022-11-23T01:30:35.5291530Z 2022-11-23T01:30:35.5291590Z 2022-11-23T01:30:35.5291772Z [2022-11-23 01:23:31,112] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5291841Z - 2022-11-23T01:30:35.5291958Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5292023Z { 2022-11-23T01:30:35.5292163Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5292336Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5292454Z 'obj_weakref': None 2022-11-23T01:30:35.5292678Z 'guarded_class': 2022-11-23T01:30:35.5292741Z } 2022-11-23T01:30:35.5292803Z 2022-11-23T01:30:35.5292871Z - 2022-11-23T01:30:35.5292993Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5293043Z { 2022-11-23T01:30:35.5293184Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5293290Z 'code': None, 2022-11-23T01:30:35.5293501Z 'obj_weakref': 2022-11-23T01:30:35.5293750Z 'guarded_class': 2022-11-23T01:30:35.5293814Z } 2022-11-23T01:30:35.5293877Z 2022-11-23T01:30:35.5293932Z - 2022-11-23T01:30:35.5294049Z local 'model' NN_MODULE 2022-11-23T01:30:35.5294113Z { 2022-11-23T01:30:35.5294247Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5294414Z 'code': ['___check_obj_id(model, 140534625128880)'], 2022-11-23T01:30:35.5294630Z 'obj_weakref': 2022-11-23T01:30:35.5294859Z 'guarded_class': 2022-11-23T01:30:35.5294910Z } 2022-11-23T01:30:35.5294971Z 2022-11-23T01:30:35.5295039Z - 2022-11-23T01:30:35.5295160Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5295221Z { 2022-11-23T01:30:35.5295354Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5295567Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5295674Z 'obj_weakref': None 2022-11-23T01:30:35.5295922Z 'guarded_class': 2022-11-23T01:30:35.5295987Z } 2022-11-23T01:30:35.5296049Z 2022-11-23T01:30:35.5296117Z - 2022-11-23T01:30:35.5296261Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5296322Z { 2022-11-23T01:30:35.5296429Z 'guard_types': None, 2022-11-23T01:30:35.5296534Z 'code': None, 2022-11-23T01:30:35.5296650Z 'obj_weakref': None 2022-11-23T01:30:35.5296769Z 'guarded_class': None 2022-11-23T01:30:35.5296832Z } 2022-11-23T01:30:35.5296893Z 2022-11-23T01:30:35.5296959Z - 2022-11-23T01:30:35.5297088Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5297150Z { 2022-11-23T01:30:35.5297300Z 'guard_types': None, 2022-11-23T01:30:35.5297405Z 'code': None, 2022-11-23T01:30:35.5297520Z 'obj_weakref': None 2022-11-23T01:30:35.5297641Z 'guarded_class': None 2022-11-23T01:30:35.5297703Z } 2022-11-23T01:30:35.5297752Z 2022-11-23T01:30:35.5298009Z [2022-11-23 01:23:31,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122 2022-11-23T01:30:35.5298015Z 2022-11-23T01:30:35.5298107Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5298174Z import torch 2022-11-23T01:30:35.5298241Z import random 2022-11-23T01:30:35.5298354Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5298477Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5298482Z 2022-11-23T01:30:35.5298546Z aten = torch.ops.aten 2022-11-23T01:30:35.5298680Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5298771Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5298778Z 2022-11-23T01:30:35.5298783Z 2022-11-23T01:30:35.5298869Z async_compile.wait(globals()) 2022-11-23T01:30:35.5298942Z del async_compile 2022-11-23T01:30:35.5298947Z 2022-11-23T01:30:35.5299020Z def call(args): 2022-11-23T01:30:35.5299138Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5299208Z args.clear() 2022-11-23T01:30:35.5299335Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5299453Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5299519Z del arg0_1 2022-11-23T01:30:35.5299584Z del arg1_1 2022-11-23T01:30:35.5299648Z del arg7_1 2022-11-23T01:30:35.5299717Z return (buf0, ) 2022-11-23T01:30:35.5299722Z 2022-11-23T01:30:35.5299726Z 2022-11-23T01:30:35.5299801Z if __name__ == "__main__": 2022-11-23T01:30:35.5299912Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5300025Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5300245Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5300440Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5300632Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5300822Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5301012Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5301198Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5301374Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5301595Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5301749Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5301757Z 2022-11-23T01:30:35.5301761Z 2022-11-23T01:30:35.5301884Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5301954Z import torch 2022-11-23T01:30:35.5302022Z import random 2022-11-23T01:30:35.5302136Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5302254Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5302259Z 2022-11-23T01:30:35.5302335Z aten = torch.ops.aten 2022-11-23T01:30:35.5302455Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5302545Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5302549Z 2022-11-23T01:30:35.5302553Z 2022-11-23T01:30:35.5302685Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5302888Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5303006Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5303135Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5303195Z { 2022-11-23T01:30:35.5303292Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5303344Z { 2022-11-23T01:30:35.5303420Z #pragma omp for 2022-11-23T01:30:35.5303503Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5303566Z { 2022-11-23T01:30:35.5303645Z #pragma GCC ivdep 2022-11-23T01:30:35.5303733Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5303784Z { 2022-11-23T01:30:35.5303850Z { 2022-11-23T01:30:35.5303915Z { 2022-11-23T01:30:35.5304019Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5304117Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5304182Z } 2022-11-23T01:30:35.5304245Z } 2022-11-23T01:30:35.5304297Z } 2022-11-23T01:30:35.5304359Z } 2022-11-23T01:30:35.5304423Z } 2022-11-23T01:30:35.5304482Z } 2022-11-23T01:30:35.5304560Z ''') 2022-11-23T01:30:35.5304566Z 2022-11-23T01:30:35.5304570Z 2022-11-23T01:30:35.5304656Z async_compile.wait(globals()) 2022-11-23T01:30:35.5304729Z del async_compile 2022-11-23T01:30:35.5304733Z 2022-11-23T01:30:35.5304791Z def call(args): 2022-11-23T01:30:35.5304910Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5304980Z args.clear() 2022-11-23T01:30:35.5305217Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5305349Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5305415Z del arg7_1 2022-11-23T01:30:35.5305554Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5305669Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5305727Z del arg0_1 2022-11-23T01:30:35.5305793Z del arg1_1 2022-11-23T01:30:35.5305863Z return (buf1, ) 2022-11-23T01:30:35.5305868Z 2022-11-23T01:30:35.5305872Z 2022-11-23T01:30:35.5305949Z if __name__ == "__main__": 2022-11-23T01:30:35.5306062Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5306182Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5306397Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5306589Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5306766Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5306954Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5307141Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5307327Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5307506Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5307768Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5307924Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5307929Z 2022-11-23T01:30:35.5307933Z 2022-11-23T01:30:35.5308026Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5308082Z import torch 2022-11-23T01:30:35.5308151Z import random 2022-11-23T01:30:35.5308265Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5308383Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5308388Z 2022-11-23T01:30:35.5308466Z aten = torch.ops.aten 2022-11-23T01:30:35.5308597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5308687Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5308735Z 2022-11-23T01:30:35.5308739Z 2022-11-23T01:30:35.5308826Z async_compile.wait(globals()) 2022-11-23T01:30:35.5308885Z del async_compile 2022-11-23T01:30:35.5308890Z 2022-11-23T01:30:35.5308961Z def call(args): 2022-11-23T01:30:35.5309076Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5309146Z args.clear() 2022-11-23T01:30:35.5309284Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5309397Z assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5309464Z del arg0_1 2022-11-23T01:30:35.5309518Z del arg1_1 2022-11-23T01:30:35.5309582Z del arg7_1 2022-11-23T01:30:35.5309651Z return (buf0, ) 2022-11-23T01:30:35.5309656Z 2022-11-23T01:30:35.5309660Z 2022-11-23T01:30:35.5309733Z if __name__ == "__main__": 2022-11-23T01:30:35.5309843Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5309968Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5310186Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5310379Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5310556Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5310741Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5310924Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5311107Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5311285Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5311515Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5311668Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5311675Z 2022-11-23T01:30:35.5311680Z 2022-11-23T01:30:35.5311772Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5311843Z import torch 2022-11-23T01:30:35.5311900Z import random 2022-11-23T01:30:35.5312013Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5312132Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5312137Z 2022-11-23T01:30:35.5312214Z aten = torch.ops.aten 2022-11-23T01:30:35.5312345Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5312434Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5312438Z 2022-11-23T01:30:35.5312442Z 2022-11-23T01:30:35.5312573Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5312774Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5312878Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5312978Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5313038Z { 2022-11-23T01:30:35.5313134Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5313196Z { 2022-11-23T01:30:35.5313319Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5313401Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5313453Z { 2022-11-23T01:30:35.5313542Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5313604Z { 2022-11-23T01:30:35.5313668Z { 2022-11-23T01:30:35.5313732Z { 2022-11-23T01:30:35.5313832Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5313916Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5313982Z } 2022-11-23T01:30:35.5314046Z } 2022-11-23T01:30:35.5314109Z } 2022-11-23T01:30:35.5314169Z } 2022-11-23T01:30:35.5314229Z } 2022-11-23T01:30:35.5314289Z } 2022-11-23T01:30:35.5314430Z ''') 2022-11-23T01:30:35.5314435Z 2022-11-23T01:30:35.5314439Z 2022-11-23T01:30:35.5314528Z async_compile.wait(globals()) 2022-11-23T01:30:35.5314599Z del async_compile 2022-11-23T01:30:35.5314603Z 2022-11-23T01:30:35.5314676Z def call(args): 2022-11-23T01:30:35.5314793Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5314864Z args.clear() 2022-11-23T01:30:35.5315098Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5315234Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5315288Z del arg7_1 2022-11-23T01:30:35.5315427Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5315542Z assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5315608Z del arg0_1 2022-11-23T01:30:35.5315674Z del arg1_1 2022-11-23T01:30:35.5315747Z return (buf1, ) 2022-11-23T01:30:35.5315752Z 2022-11-23T01:30:35.5315756Z 2022-11-23T01:30:35.5315831Z if __name__ == "__main__": 2022-11-23T01:30:35.5315945Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5316053Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5316270Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5316460Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5316648Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5316831Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5317014Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5317196Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5317361Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5317589Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5317745Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5317750Z 2022-11-23T01:30:35.5318121Z [2022-11-23 01:23:31,127] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py 2022-11-23T01:30:35.5318388Z [2022-11-23 01:23:31,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122 2022-11-23T01:30:35.5318628Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5318941Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5319157Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5319432Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5319701Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5320088Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5320432Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5320742Z [2022-11-23 01:23:31,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5320987Z [2022-11-23 01:23:31,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5321258Z [2022-11-23 01:23:31,761] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5321512Z [2022-11-23 01:23:31,762] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5321759Z [2022-11-23 01:23:31,868] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5321946Z [2022-11-23 01:23:31,868] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5322079Z __compiled_fn_124 .1098 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5322233Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5322319Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5322416Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5322421Z 2022-11-23T01:30:35.5322747Z [2022-11-23 01:23:31,869] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5322844Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5322936Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5323021Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5323112Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5323184Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5323271Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5323345Z 12 RETURN_VALUE 2022-11-23T01:30:35.5323350Z 2022-11-23T01:30:35.5323411Z 2022-11-23T01:30:35.5323735Z [2022-11-23 01:23:31,869] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5323840Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_124) 2022-11-23T01:30:35.5323929Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5324019Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5324085Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5324172Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5324265Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5324339Z 12 RETURN_VALUE 2022-11-23T01:30:35.5324343Z 2022-11-23T01:30:35.5324404Z 2022-11-23T01:30:35.5324585Z [2022-11-23 01:23:31,870] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5324654Z - 2022-11-23T01:30:35.5324867Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5324934Z { 2022-11-23T01:30:35.5325075Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5325261Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5325381Z 'obj_weakref': None 2022-11-23T01:30:35.5325608Z 'guarded_class': 2022-11-23T01:30:35.5325674Z } 2022-11-23T01:30:35.5325727Z 2022-11-23T01:30:35.5325797Z - 2022-11-23T01:30:35.5325921Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5325983Z { 2022-11-23T01:30:35.5326168Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5326279Z 'code': None, 2022-11-23T01:30:35.5326488Z 'obj_weakref': 2022-11-23T01:30:35.5326729Z 'guarded_class': 2022-11-23T01:30:35.5326794Z } 2022-11-23T01:30:35.5326856Z 2022-11-23T01:30:35.5326929Z - 2022-11-23T01:30:35.5327047Z local 'model' NN_MODULE 2022-11-23T01:30:35.5327110Z { 2022-11-23T01:30:35.5327245Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5327400Z 'code': ['___check_obj_id(model, 140534625128880)'], 2022-11-23T01:30:35.5327620Z 'obj_weakref': 2022-11-23T01:30:35.5327891Z 'guarded_class': 2022-11-23T01:30:35.5327955Z } 2022-11-23T01:30:35.5328018Z 2022-11-23T01:30:35.5328087Z - 2022-11-23T01:30:35.5328208Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5328257Z { 2022-11-23T01:30:35.5328393Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5328610Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5328726Z 'obj_weakref': None 2022-11-23T01:30:35.5328946Z 'guarded_class': 2022-11-23T01:30:35.5329009Z } 2022-11-23T01:30:35.5329070Z 2022-11-23T01:30:35.5329125Z - 2022-11-23T01:30:35.5329270Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5329334Z { 2022-11-23T01:30:35.5329451Z 'guard_types': None, 2022-11-23T01:30:35.5329557Z 'code': None, 2022-11-23T01:30:35.5329674Z 'obj_weakref': None 2022-11-23T01:30:35.5329793Z 'guarded_class': None 2022-11-23T01:30:35.5329843Z } 2022-11-23T01:30:35.5329905Z 2022-11-23T01:30:35.5329972Z - 2022-11-23T01:30:35.5330116Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5330178Z { 2022-11-23T01:30:35.5330295Z 'guard_types': None, 2022-11-23T01:30:35.5330398Z 'code': None, 2022-11-23T01:30:35.5330501Z 'obj_weakref': None 2022-11-23T01:30:35.5330619Z 'guarded_class': None 2022-11-23T01:30:35.5330680Z } 2022-11-23T01:30:35.5330741Z 2022-11-23T01:30:35.5331000Z [2022-11-23 01:23:31,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123 2022-11-23T01:30:35.5331365Z [2022-11-23 01:23:31,892] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6m/c6m7vgjhnbiovv75qpokuda2m5qv5dzmmwow6k5do5csgs2gsjnk.py 2022-11-23T01:30:35.5331630Z [2022-11-23 01:23:31,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123 2022-11-23T01:30:35.5331865Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5332165Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5332381Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5332624Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5332891Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5333205Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5333569Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5333881Z [2022-11-23 01:23:32,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5334125Z [2022-11-23 01:23:32,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5334356Z [2022-11-23 01:23:32,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5334608Z [2022-11-23 01:23:32,392] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5334841Z [2022-11-23 01:23:32,444] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5335063Z [2022-11-23 01:23:32,445] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5335197Z __compiled_fn_125 .1109 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5335286Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5335384Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5335481Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5335486Z 2022-11-23T01:30:35.5335811Z [2022-11-23 01:23:32,445] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5335902Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5335980Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5336066Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5336156Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5336241Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5336329Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5336406Z 12 RETURN_VALUE 2022-11-23T01:30:35.5336411Z 2022-11-23T01:30:35.5336470Z 2022-11-23T01:30:35.5336780Z [2022-11-23 01:23:32,445] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5336886Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_125) 2022-11-23T01:30:35.5336975Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5337063Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5337139Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5337224Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5337312Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5337385Z 12 RETURN_VALUE 2022-11-23T01:30:35.5337390Z 2022-11-23T01:30:35.5337440Z 2022-11-23T01:30:35.5337620Z [2022-11-23 01:23:32,446] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5337691Z - 2022-11-23T01:30:35.5337810Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5337874Z { 2022-11-23T01:30:35.5338013Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5338196Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5338302Z 'obj_weakref': None 2022-11-23T01:30:35.5338525Z 'guarded_class': 2022-11-23T01:30:35.5338588Z } 2022-11-23T01:30:35.5338650Z 2022-11-23T01:30:35.5338719Z - 2022-11-23T01:30:35.5338841Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5338903Z { 2022-11-23T01:30:35.5339031Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5339135Z 'code': None, 2022-11-23T01:30:35.5339348Z 'obj_weakref': 2022-11-23T01:30:35.5339624Z 'guarded_class': 2022-11-23T01:30:35.5339689Z } 2022-11-23T01:30:35.5339751Z 2022-11-23T01:30:35.5339819Z - 2022-11-23T01:30:35.5339925Z local 'model' NN_MODULE 2022-11-23T01:30:35.5339988Z { 2022-11-23T01:30:35.5340121Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5340287Z 'code': ['___check_obj_id(model, 140534620825264)'], 2022-11-23T01:30:35.5340507Z 'obj_weakref': 2022-11-23T01:30:35.5340738Z 'guarded_class': 2022-11-23T01:30:35.5340799Z } 2022-11-23T01:30:35.5340849Z 2022-11-23T01:30:35.5340918Z - 2022-11-23T01:30:35.5341068Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5341132Z { 2022-11-23T01:30:35.5341265Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5341484Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5341601Z 'obj_weakref': None 2022-11-23T01:30:35.5341810Z 'guarded_class': 2022-11-23T01:30:35.5341873Z } 2022-11-23T01:30:35.5341933Z 2022-11-23T01:30:35.5342002Z - 2022-11-23T01:30:35.5342145Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5342207Z { 2022-11-23T01:30:35.5342326Z 'guard_types': None, 2022-11-23T01:30:35.5342417Z 'code': None, 2022-11-23T01:30:35.5342533Z 'obj_weakref': None 2022-11-23T01:30:35.5342651Z 'guarded_class': None 2022-11-23T01:30:35.5342713Z } 2022-11-23T01:30:35.5342777Z 2022-11-23T01:30:35.5342846Z - 2022-11-23T01:30:35.5342987Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5343036Z { 2022-11-23T01:30:35.5343155Z 'guard_types': None, 2022-11-23T01:30:35.5343262Z 'code': None, 2022-11-23T01:30:35.5343377Z 'obj_weakref': None 2022-11-23T01:30:35.5343496Z 'guarded_class': None 2022-11-23T01:30:35.5343558Z } 2022-11-23T01:30:35.5343608Z 2022-11-23T01:30:35.5343863Z [2022-11-23 01:23:32,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124 2022-11-23T01:30:35.5344227Z [2022-11-23 01:23:32,462] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py 2022-11-23T01:30:35.5344489Z [2022-11-23 01:23:32,462] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124 2022-11-23T01:30:35.5344726Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5345043Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5345257Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5345497Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5345761Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5346071Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5346394Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5346738Z [2022-11-23 01:23:32,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5346984Z [2022-11-23 01:23:32,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5347214Z [2022-11-23 01:23:32,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5347464Z [2022-11-23 01:23:32,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5347710Z [2022-11-23 01:23:32,624] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5347894Z [2022-11-23 01:23:32,624] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5348026Z __compiled_fn_126 .1120 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5348142Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5348230Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5348331Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5348336Z 2022-11-23T01:30:35.5348662Z [2022-11-23 01:23:32,624] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5348755Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5348844Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5348929Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5349019Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5349103Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5349178Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5349252Z 12 RETURN_VALUE 2022-11-23T01:30:35.5349257Z 2022-11-23T01:30:35.5349318Z 2022-11-23T01:30:35.5349643Z [2022-11-23 01:23:32,624] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5349753Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_126) 2022-11-23T01:30:35.5349843Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5349929Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5349992Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5350080Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5350169Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5350242Z 12 RETURN_VALUE 2022-11-23T01:30:35.5350246Z 2022-11-23T01:30:35.5350305Z 2022-11-23T01:30:35.5350484Z [2022-11-23 01:23:32,625] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5350553Z - 2022-11-23T01:30:35.5350659Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5350723Z { 2022-11-23T01:30:35.5350863Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5351049Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5351166Z 'obj_weakref': None 2022-11-23T01:30:35.5351392Z 'guarded_class': 2022-11-23T01:30:35.5351455Z } 2022-11-23T01:30:35.5351517Z 2022-11-23T01:30:35.5351573Z - 2022-11-23T01:30:35.5351695Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5351760Z { 2022-11-23T01:30:35.5351900Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5352004Z 'code': None, 2022-11-23T01:30:35.5352211Z 'obj_weakref': 2022-11-23T01:30:35.5352461Z 'guarded_class': 2022-11-23T01:30:35.5352513Z } 2022-11-23T01:30:35.5352575Z 2022-11-23T01:30:35.5352646Z - 2022-11-23T01:30:35.5352762Z local 'model' NN_MODULE 2022-11-23T01:30:35.5352824Z { 2022-11-23T01:30:35.5352956Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5353140Z 'code': ['___check_obj_id(model, 140534620825264)'], 2022-11-23T01:30:35.5353362Z 'obj_weakref': 2022-11-23T01:30:35.5353593Z 'guarded_class': 2022-11-23T01:30:35.5353655Z } 2022-11-23T01:30:35.5353719Z 2022-11-23T01:30:35.5353787Z - 2022-11-23T01:30:35.5353907Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5353956Z { 2022-11-23T01:30:35.5354095Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5354308Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5354424Z 'obj_weakref': None 2022-11-23T01:30:35.5354688Z 'guarded_class': 2022-11-23T01:30:35.5354749Z } 2022-11-23T01:30:35.5354814Z 2022-11-23T01:30:35.5354881Z - 2022-11-23T01:30:35.5355012Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5355074Z { 2022-11-23T01:30:35.5355192Z 'guard_types': None, 2022-11-23T01:30:35.5355298Z 'code': None, 2022-11-23T01:30:35.5355413Z 'obj_weakref': None 2022-11-23T01:30:35.5355534Z 'guarded_class': None 2022-11-23T01:30:35.5355584Z } 2022-11-23T01:30:35.5355645Z 2022-11-23T01:30:35.5355712Z - 2022-11-23T01:30:35.5355857Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5355918Z { 2022-11-23T01:30:35.5356034Z 'guard_types': None, 2022-11-23T01:30:35.5356139Z 'code': None, 2022-11-23T01:30:35.5356244Z 'obj_weakref': None 2022-11-23T01:30:35.5356364Z 'guarded_class': None 2022-11-23T01:30:35.5356426Z } 2022-11-23T01:30:35.5356487Z 2022-11-23T01:30:35.5356750Z [2022-11-23 01:23:32,635] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125 2022-11-23T01:30:35.5357117Z [2022-11-23 01:23:32,647] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnud3cwsrwiz22pnsyne5bl5wcerpg5jihj6eys6jyzjb57n3c7c.py 2022-11-23T01:30:35.5357381Z [2022-11-23 01:23:32,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125 2022-11-23T01:30:35.5357616Z [2022-11-23 01:23:32,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5357918Z [2022-11-23 01:23:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5358135Z [2022-11-23 01:23:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5358381Z [2022-11-23 01:23:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5358650Z [2022-11-23 01:23:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5358963Z [2022-11-23 01:23:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5359303Z [2022-11-23 01:23:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5359614Z [2022-11-23 01:23:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5359859Z [2022-11-23 01:23:32,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5360194Z [2022-11-23 01:23:32,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5360491Z [2022-11-23 01:23:32,859] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5360727Z [2022-11-23 01:23:32,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5360914Z [2022-11-23 01:23:32,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5361047Z __compiled_fn_127 .1131 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5361136Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5361236Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5361335Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5361341Z 2022-11-23T01:30:35.5361667Z [2022-11-23 01:23:32,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5361788Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5361866Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5361955Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5362049Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5362133Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5362222Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5362297Z 12 RETURN_VALUE 2022-11-23T01:30:35.5362302Z 2022-11-23T01:30:35.5362361Z 2022-11-23T01:30:35.5362685Z [2022-11-23 01:23:32,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5362778Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_127) 2022-11-23T01:30:35.5362868Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5362958Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5363036Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5363122Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5363213Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5363286Z 12 RETURN_VALUE 2022-11-23T01:30:35.5363291Z 2022-11-23T01:30:35.5363337Z 2022-11-23T01:30:35.5363520Z [2022-11-23 01:23:32,956] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5363591Z - 2022-11-23T01:30:35.5363709Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5363773Z { 2022-11-23T01:30:35.5363911Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5364095Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5364200Z 'obj_weakref': None 2022-11-23T01:30:35.5364425Z 'guarded_class': 2022-11-23T01:30:35.5364488Z } 2022-11-23T01:30:35.5364554Z 2022-11-23T01:30:35.5364623Z - 2022-11-23T01:30:35.5364849Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5364913Z { 2022-11-23T01:30:35.5365046Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5365153Z 'code': None, 2022-11-23T01:30:35.5365364Z 'obj_weakref': 2022-11-23T01:30:35.5365616Z 'guarded_class': 2022-11-23T01:30:35.5365681Z } 2022-11-23T01:30:35.5365747Z 2022-11-23T01:30:35.5365818Z - 2022-11-23T01:30:35.5365923Z local 'model' NN_MODULE 2022-11-23T01:30:35.5365987Z { 2022-11-23T01:30:35.5366120Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5366287Z 'code': ['___check_obj_id(model, 140534642618672)'], 2022-11-23T01:30:35.5366507Z 'obj_weakref': 2022-11-23T01:30:35.5366741Z 'guarded_class': 2022-11-23T01:30:35.5366855Z } 2022-11-23T01:30:35.5366906Z 2022-11-23T01:30:35.5366976Z - 2022-11-23T01:30:35.5367098Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5367161Z { 2022-11-23T01:30:35.5367296Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5367511Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5367628Z 'obj_weakref': None 2022-11-23T01:30:35.5367835Z 'guarded_class': 2022-11-23T01:30:35.5367899Z } 2022-11-23T01:30:35.5367962Z 2022-11-23T01:30:35.5368032Z - 2022-11-23T01:30:35.5368175Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5368275Z { 2022-11-23T01:30:35.5368396Z 'guard_types': None, 2022-11-23T01:30:35.5368488Z 'code': None, 2022-11-23T01:30:35.5368607Z 'obj_weakref': None 2022-11-23T01:30:35.5368728Z 'guarded_class': None 2022-11-23T01:30:35.5368790Z } 2022-11-23T01:30:35.5368852Z 2022-11-23T01:30:35.5368919Z - 2022-11-23T01:30:35.5369062Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5369111Z { 2022-11-23T01:30:35.5369228Z 'guard_types': None, 2022-11-23T01:30:35.5369332Z 'code': None, 2022-11-23T01:30:35.5369448Z 'obj_weakref': None 2022-11-23T01:30:35.5369568Z 'guarded_class': None 2022-11-23T01:30:35.5369630Z } 2022-11-23T01:30:35.5369679Z 2022-11-23T01:30:35.5369938Z [2022-11-23 01:23:32,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126 2022-11-23T01:30:35.5369946Z 2022-11-23T01:30:35.5370037Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5370106Z import torch 2022-11-23T01:30:35.5370174Z import random 2022-11-23T01:30:35.5370293Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5370415Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5370420Z 2022-11-23T01:30:35.5370497Z aten = torch.ops.aten 2022-11-23T01:30:35.5370618Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5370710Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5370716Z 2022-11-23T01:30:35.5370720Z 2022-11-23T01:30:35.5370808Z async_compile.wait(globals()) 2022-11-23T01:30:35.5370879Z del async_compile 2022-11-23T01:30:35.5370884Z 2022-11-23T01:30:35.5370953Z def call(args): 2022-11-23T01:30:35.5371072Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5371142Z args.clear() 2022-11-23T01:30:35.5371283Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5371388Z assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5371459Z del arg0_1 2022-11-23T01:30:35.5371525Z del arg1_1 2022-11-23T01:30:35.5371593Z del arg7_1 2022-11-23T01:30:35.5371663Z return (buf0, ) 2022-11-23T01:30:35.5371668Z 2022-11-23T01:30:35.5371672Z 2022-11-23T01:30:35.5371746Z if __name__ == "__main__": 2022-11-23T01:30:35.5371859Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5371980Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5372189Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5372384Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5372576Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5372766Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5372955Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5373171Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5373348Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5373581Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5373723Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5373728Z 2022-11-23T01:30:35.5373745Z 2022-11-23T01:30:35.5373826Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5373894Z import torch 2022-11-23T01:30:35.5373962Z import random 2022-11-23T01:30:35.5374077Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5374196Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5374229Z 2022-11-23T01:30:35.5374307Z aten = torch.ops.aten 2022-11-23T01:30:35.5374438Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5374519Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5374524Z 2022-11-23T01:30:35.5374528Z 2022-11-23T01:30:35.5374660Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5374864Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5374981Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5375079Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5375139Z { 2022-11-23T01:30:35.5375235Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5375285Z { 2022-11-23T01:30:35.5375360Z #pragma omp for 2022-11-23T01:30:35.5375440Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5375502Z { 2022-11-23T01:30:35.5375581Z #pragma GCC ivdep 2022-11-23T01:30:35.5375672Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5375776Z { 2022-11-23T01:30:35.5375827Z { 2022-11-23T01:30:35.5375893Z { 2022-11-23T01:30:35.5375997Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5376095Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5376160Z } 2022-11-23T01:30:35.5376222Z } 2022-11-23T01:30:35.5376283Z } 2022-11-23T01:30:35.5376331Z } 2022-11-23T01:30:35.5376391Z } 2022-11-23T01:30:35.5376450Z } 2022-11-23T01:30:35.5376528Z ''') 2022-11-23T01:30:35.5376533Z 2022-11-23T01:30:35.5376537Z 2022-11-23T01:30:35.5376627Z async_compile.wait(globals()) 2022-11-23T01:30:35.5376696Z del async_compile 2022-11-23T01:30:35.5376701Z 2022-11-23T01:30:35.5376771Z def call(args): 2022-11-23T01:30:35.5376876Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5376950Z args.clear() 2022-11-23T01:30:35.5377186Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5377320Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5377387Z del arg7_1 2022-11-23T01:30:35.5377525Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5377639Z assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5377706Z del arg0_1 2022-11-23T01:30:35.5377758Z del arg1_1 2022-11-23T01:30:35.5377827Z return (buf1, ) 2022-11-23T01:30:35.5377831Z 2022-11-23T01:30:35.5377836Z 2022-11-23T01:30:35.5377911Z if __name__ == "__main__": 2022-11-23T01:30:35.5378023Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5378144Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5378363Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5378560Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5378778Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5378956Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5379138Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5379322Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5379500Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5379730Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5379884Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5379889Z 2022-11-23T01:30:35.5379919Z 2022-11-23T01:30:35.5380013Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5380080Z import torch 2022-11-23T01:30:35.5380136Z import random 2022-11-23T01:30:35.5380253Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5380373Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5380377Z 2022-11-23T01:30:35.5380455Z aten = torch.ops.aten 2022-11-23T01:30:35.5380626Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5380716Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5380720Z 2022-11-23T01:30:35.5380725Z 2022-11-23T01:30:35.5380810Z async_compile.wait(globals()) 2022-11-23T01:30:35.5380880Z del async_compile 2022-11-23T01:30:35.5380885Z 2022-11-23T01:30:35.5380941Z def call(args): 2022-11-23T01:30:35.5381056Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5381126Z args.clear() 2022-11-23T01:30:35.5381265Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5381381Z assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5381450Z del arg0_1 2022-11-23T01:30:35.5381516Z del arg1_1 2022-11-23T01:30:35.5381569Z del arg7_1 2022-11-23T01:30:35.5381638Z return (buf0, ) 2022-11-23T01:30:35.5381643Z 2022-11-23T01:30:35.5381647Z 2022-11-23T01:30:35.5381722Z if __name__ == "__main__": 2022-11-23T01:30:35.5381835Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5381956Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5382182Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5382372Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5382558Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5382733Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5382920Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5383102Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5383279Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5383509Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5383663Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5383668Z 2022-11-23T01:30:35.5383672Z 2022-11-23T01:30:35.5383765Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5383834Z import torch 2022-11-23T01:30:35.5383902Z import random 2022-11-23T01:30:35.5384004Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5384122Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5384129Z 2022-11-23T01:30:35.5384206Z aten = torch.ops.aten 2022-11-23T01:30:35.5384335Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5384424Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5384457Z 2022-11-23T01:30:35.5384462Z 2022-11-23T01:30:35.5384595Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5384797Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5384914Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5385001Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5385062Z { 2022-11-23T01:30:35.5385163Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5385224Z { 2022-11-23T01:30:35.5385313Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5385394Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5385455Z { 2022-11-23T01:30:35.5385533Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5385625Z { 2022-11-23T01:30:35.5385688Z { 2022-11-23T01:30:35.5385753Z { 2022-11-23T01:30:35.5385854Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5385953Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5386006Z } 2022-11-23T01:30:35.5386069Z } 2022-11-23T01:30:35.5386131Z } 2022-11-23T01:30:35.5386193Z } 2022-11-23T01:30:35.5386253Z } 2022-11-23T01:30:35.5386312Z } 2022-11-23T01:30:35.5386390Z ''') 2022-11-23T01:30:35.5386395Z 2022-11-23T01:30:35.5386400Z 2022-11-23T01:30:35.5386473Z async_compile.wait(globals()) 2022-11-23T01:30:35.5386545Z del async_compile 2022-11-23T01:30:35.5386549Z 2022-11-23T01:30:35.5386618Z def call(args): 2022-11-23T01:30:35.5386736Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5386806Z args.clear() 2022-11-23T01:30:35.5387039Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5387173Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5387242Z del arg7_1 2022-11-23T01:30:35.5387369Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5387483Z assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5387551Z del arg0_1 2022-11-23T01:30:35.5387618Z del arg1_1 2022-11-23T01:30:35.5387688Z return (buf1, ) 2022-11-23T01:30:35.5387693Z 2022-11-23T01:30:35.5387697Z 2022-11-23T01:30:35.5387770Z if __name__ == "__main__": 2022-11-23T01:30:35.5387884Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5388005Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5388207Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5388399Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5388587Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5388773Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5388957Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5389141Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5389317Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5389539Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5389680Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5389685Z 2022-11-23T01:30:35.5390054Z [2022-11-23 01:23:32,971] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py 2022-11-23T01:30:35.5390347Z [2022-11-23 01:23:32,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126 2022-11-23T01:30:35.5390587Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5390898Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5391112Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5391354Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5391620Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5391930Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5392300Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5392599Z [2022-11-23 01:23:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5392845Z [2022-11-23 01:23:33,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5393076Z [2022-11-23 01:23:33,474] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5393325Z [2022-11-23 01:23:33,475] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5393569Z [2022-11-23 01:23:33,565] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5393758Z [2022-11-23 01:23:33,566] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5393890Z __compiled_fn_128 .1142 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5393979Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5394077Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5394162Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5394167Z 2022-11-23T01:30:35.5394493Z [2022-11-23 01:23:33,566] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5394587Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5394678Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5394764Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5394855Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5394940Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5395017Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5395093Z 12 RETURN_VALUE 2022-11-23T01:30:35.5395098Z 2022-11-23T01:30:35.5395158Z 2022-11-23T01:30:35.5395484Z [2022-11-23 01:23:33,566] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5395593Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_128) 2022-11-23T01:30:35.5395682Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5395792Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5395867Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5395942Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5396031Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5396105Z 12 RETURN_VALUE 2022-11-23T01:30:35.5396110Z 2022-11-23T01:30:35.5396170Z 2022-11-23T01:30:35.5396352Z [2022-11-23 01:23:33,567] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5396426Z - 2022-11-23T01:30:35.5396544Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5396595Z { 2022-11-23T01:30:35.5396763Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5396952Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5397072Z 'obj_weakref': None 2022-11-23T01:30:35.5397298Z 'guarded_class': 2022-11-23T01:30:35.5397362Z } 2022-11-23T01:30:35.5397425Z 2022-11-23T01:30:35.5397502Z - 2022-11-23T01:30:35.5397625Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5397687Z { 2022-11-23T01:30:35.5397829Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5397935Z 'code': None, 2022-11-23T01:30:35.5398146Z 'obj_weakref': 2022-11-23T01:30:35.5398440Z 'guarded_class': 2022-11-23T01:30:35.5398491Z } 2022-11-23T01:30:35.5398556Z 2022-11-23T01:30:35.5398627Z - 2022-11-23T01:30:35.5398745Z local 'model' NN_MODULE 2022-11-23T01:30:35.5398808Z { 2022-11-23T01:30:35.5398940Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5399107Z 'code': ['___check_obj_id(model, 140534642618672)'], 2022-11-23T01:30:35.5399313Z 'obj_weakref': 2022-11-23T01:30:35.5399547Z 'guarded_class': 2022-11-23T01:30:35.5399610Z } 2022-11-23T01:30:35.5399672Z 2022-11-23T01:30:35.5399741Z - 2022-11-23T01:30:35.5399863Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5399925Z { 2022-11-23T01:30:35.5400117Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5400343Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5400463Z 'obj_weakref': None 2022-11-23T01:30:35.5400682Z 'guarded_class': 2022-11-23T01:30:35.5400745Z } 2022-11-23T01:30:35.5400808Z 2022-11-23T01:30:35.5400878Z - 2022-11-23T01:30:35.5401010Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5401078Z { 2022-11-23T01:30:35.5401196Z 'guard_types': None, 2022-11-23T01:30:35.5401302Z 'code': None, 2022-11-23T01:30:35.5401419Z 'obj_weakref': None 2022-11-23T01:30:35.5401539Z 'guarded_class': None 2022-11-23T01:30:35.5401601Z } 2022-11-23T01:30:35.5401651Z 2022-11-23T01:30:35.5401719Z - 2022-11-23T01:30:35.5401864Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5401929Z { 2022-11-23T01:30:35.5402047Z 'guard_types': None, 2022-11-23T01:30:35.5402154Z 'code': None, 2022-11-23T01:30:35.5402271Z 'obj_weakref': None 2022-11-23T01:30:35.5402377Z 'guarded_class': None 2022-11-23T01:30:35.5402440Z } 2022-11-23T01:30:35.5402502Z 2022-11-23T01:30:35.5402761Z [2022-11-23 01:23:33,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127 2022-11-23T01:30:35.5403131Z [2022-11-23 01:23:33,590] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2kopbznstlhm5vamkjzvmtgx6acqincsttr7s3pslkjgm5kefp.py 2022-11-23T01:30:35.5403393Z [2022-11-23 01:23:33,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127 2022-11-23T01:30:35.5403629Z [2022-11-23 01:23:33,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5403940Z [2022-11-23 01:23:33,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5404194Z [2022-11-23 01:23:33,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5404439Z [2022-11-23 01:23:33,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5404706Z [2022-11-23 01:23:33,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5405158Z [2022-11-23 01:23:33,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5405493Z [2022-11-23 01:23:33,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5405803Z [2022-11-23 01:23:33,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5406099Z [2022-11-23 01:23:34,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5406335Z [2022-11-23 01:23:34,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5406589Z [2022-11-23 01:23:34,001] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5406898Z [2022-11-23 01:23:34,019] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5407163Z [2022-11-23 01:23:34,019] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5407341Z __compiled_fn_129 .1153 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5407460Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5407599Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5407737Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5407746Z 2022-11-23T01:30:35.5408263Z [2022-11-23 01:23:34,020] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5408377Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5408469Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5408541Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5408632Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5408716Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5408804Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5408879Z 12 RETURN_VALUE 2022-11-23T01:30:35.5408884Z 2022-11-23T01:30:35.5408944Z 2022-11-23T01:30:35.5409271Z [2022-11-23 01:23:34,020] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5409380Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_129) 2022-11-23T01:30:35.5409457Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5409548Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5409625Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5409712Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5409800Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5409873Z 12 RETURN_VALUE 2022-11-23T01:30:35.5409878Z 2022-11-23T01:30:35.5409938Z 2022-11-23T01:30:35.5410107Z [2022-11-23 01:23:34,021] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5410177Z - 2022-11-23T01:30:35.5410295Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5410359Z { 2022-11-23T01:30:35.5410498Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5410683Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5410805Z 'obj_weakref': None 2022-11-23T01:30:35.5411014Z 'guarded_class': 2022-11-23T01:30:35.5411147Z } 2022-11-23T01:30:35.5411212Z 2022-11-23T01:30:35.5411281Z - 2022-11-23T01:30:35.5411407Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5411469Z { 2022-11-23T01:30:35.5411610Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5411703Z 'code': None, 2022-11-23T01:30:35.5411911Z 'obj_weakref': 2022-11-23T01:30:35.5412164Z 'guarded_class': 2022-11-23T01:30:35.5412226Z } 2022-11-23T01:30:35.5412290Z 2022-11-23T01:30:35.5412360Z - 2022-11-23T01:30:35.5412478Z local 'model' NN_MODULE 2022-11-23T01:30:35.5412528Z { 2022-11-23T01:30:35.5412693Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5412862Z 'code': ['___check_obj_id(model, 140534622019232)'], 2022-11-23T01:30:35.5413085Z 'obj_weakref': 2022-11-23T01:30:35.5413315Z 'guarded_class': 2022-11-23T01:30:35.5413377Z } 2022-11-23T01:30:35.5413439Z 2022-11-23T01:30:35.5413495Z - 2022-11-23T01:30:35.5413616Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5413679Z { 2022-11-23T01:30:35.5413814Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5414029Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5414146Z 'obj_weakref': None 2022-11-23T01:30:35.5414367Z 'guarded_class': 2022-11-23T01:30:35.5414421Z } 2022-11-23T01:30:35.5414483Z 2022-11-23T01:30:35.5414552Z - 2022-11-23T01:30:35.5414699Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5414761Z { 2022-11-23T01:30:35.5414879Z 'guard_types': None, 2022-11-23T01:30:35.5414984Z 'code': None, 2022-11-23T01:30:35.5415088Z 'obj_weakref': None 2022-11-23T01:30:35.5415208Z 'guarded_class': None 2022-11-23T01:30:35.5415269Z } 2022-11-23T01:30:35.5415332Z 2022-11-23T01:30:35.5415399Z - 2022-11-23T01:30:35.5415541Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5415591Z { 2022-11-23T01:30:35.5415709Z 'guard_types': None, 2022-11-23T01:30:35.5415811Z 'code': None, 2022-11-23T01:30:35.5415926Z 'obj_weakref': None 2022-11-23T01:30:35.5416045Z 'guarded_class': None 2022-11-23T01:30:35.5416110Z } 2022-11-23T01:30:35.5416171Z 2022-11-23T01:30:35.5416422Z [2022-11-23 01:23:34,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128 2022-11-23T01:30:35.5416802Z [2022-11-23 01:23:34,035] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py 2022-11-23T01:30:35.5417063Z [2022-11-23 01:23:34,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128 2022-11-23T01:30:35.5417298Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5417611Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5417825Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5418065Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5418420Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5418734Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5419068Z [2022-11-23 01:23:34,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5419365Z [2022-11-23 01:23:34,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5419610Z [2022-11-23 01:23:34,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5419843Z [2022-11-23 01:23:34,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5420128Z [2022-11-23 01:23:34,166] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5420378Z [2022-11-23 01:23:34,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5420567Z [2022-11-23 01:23:34,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5420701Z __compiled_fn_130 .1164 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5420791Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5420889Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5420974Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5420978Z 2022-11-23T01:30:35.5421304Z [2022-11-23 01:23:34,186] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5421397Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5421492Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5421577Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5421671Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5421754Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5421842Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5421904Z 12 RETURN_VALUE 2022-11-23T01:30:35.5421909Z 2022-11-23T01:30:35.5421970Z 2022-11-23T01:30:35.5422290Z [2022-11-23 01:23:34,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5422399Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_130) 2022-11-23T01:30:35.5422488Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5422575Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5422650Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5422726Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5422816Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5422890Z 12 RETURN_VALUE 2022-11-23T01:30:35.5422894Z 2022-11-23T01:30:35.5422957Z 2022-11-23T01:30:35.5423137Z [2022-11-23 01:23:34,187] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5423205Z - 2022-11-23T01:30:35.5423323Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5423374Z { 2022-11-23T01:30:35.5423514Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5423698Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5423814Z 'obj_weakref': None 2022-11-23T01:30:35.5424037Z 'guarded_class': 2022-11-23T01:30:35.5424101Z } 2022-11-23T01:30:35.5424163Z 2022-11-23T01:30:35.5424218Z - 2022-11-23T01:30:35.5424340Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5424405Z { 2022-11-23T01:30:35.5424547Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5424654Z 'code': None, 2022-11-23T01:30:35.5424894Z 'obj_weakref': 2022-11-23T01:30:35.5425144Z 'guarded_class': 2022-11-23T01:30:35.5425206Z } 2022-11-23T01:30:35.5425256Z 2022-11-23T01:30:35.5425325Z - 2022-11-23T01:30:35.5425443Z local 'model' NN_MODULE 2022-11-23T01:30:35.5425505Z { 2022-11-23T01:30:35.5425639Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5425805Z 'code': ['___check_obj_id(model, 140534622019232)'], 2022-11-23T01:30:35.5426025Z 'obj_weakref': 2022-11-23T01:30:35.5426246Z 'guarded_class': 2022-11-23T01:30:35.5426343Z } 2022-11-23T01:30:35.5426405Z 2022-11-23T01:30:35.5426473Z - 2022-11-23T01:30:35.5426594Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5426658Z { 2022-11-23T01:30:35.5426781Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5426996Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5427113Z 'obj_weakref': None 2022-11-23T01:30:35.5427335Z 'guarded_class': 2022-11-23T01:30:35.5427397Z } 2022-11-23T01:30:35.5427459Z 2022-11-23T01:30:35.5427527Z - 2022-11-23T01:30:35.5427670Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5427720Z { 2022-11-23T01:30:35.5427838Z 'guard_types': None, 2022-11-23T01:30:35.5427946Z 'code': None, 2022-11-23T01:30:35.5428063Z 'obj_weakref': None 2022-11-23T01:30:35.5428182Z 'guarded_class': None 2022-11-23T01:30:35.5428245Z } 2022-11-23T01:30:35.5428295Z 2022-11-23T01:30:35.5428363Z - 2022-11-23T01:30:35.5428506Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5428569Z { 2022-11-23T01:30:35.5428688Z 'guard_types': None, 2022-11-23T01:30:35.5428791Z 'code': None, 2022-11-23T01:30:35.5428906Z 'obj_weakref': None 2022-11-23T01:30:35.5429012Z 'guarded_class': None 2022-11-23T01:30:35.5429074Z } 2022-11-23T01:30:35.5429137Z 2022-11-23T01:30:35.5429397Z [2022-11-23 01:23:34,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129 2022-11-23T01:30:35.5429771Z [2022-11-23 01:23:34,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cnacpqhydy7ghwmngxbfwkyn5z5er6ylkvip5epon3d373awlpca.py 2022-11-23T01:30:35.5430039Z [2022-11-23 01:23:34,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129 2022-11-23T01:30:35.5430274Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5430585Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5430787Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5431028Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5431292Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5431605Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5431978Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5432292Z [2022-11-23 01:23:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5432536Z [2022-11-23 01:23:34,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5432769Z [2022-11-23 01:23:34,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5433020Z [2022-11-23 01:23:34,402] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5433269Z [2022-11-23 01:23:34,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5433472Z [2022-11-23 01:23:34,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5433606Z __compiled_fn_131 .1175 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5433695Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5433794Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5433894Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5433899Z 2022-11-23T01:30:35.5434223Z [2022-11-23 01:23:34,471] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5434316Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5434403Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5434476Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5434566Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5434650Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5434739Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5434813Z 12 RETURN_VALUE 2022-11-23T01:30:35.5434818Z 2022-11-23T01:30:35.5434878Z 2022-11-23T01:30:35.5435205Z [2022-11-23 01:23:34,472] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5435311Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_131) 2022-11-23T01:30:35.5435387Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5435475Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5435551Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5435639Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5435729Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5435802Z 12 RETURN_VALUE 2022-11-23T01:30:35.5435806Z 2022-11-23T01:30:35.5435867Z 2022-11-23T01:30:35.5436034Z [2022-11-23 01:23:34,472] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5436108Z - 2022-11-23T01:30:35.5436225Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5436291Z { 2022-11-23T01:30:35.5436433Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5436617Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5436738Z 'obj_weakref': None 2022-11-23T01:30:35.5436950Z 'guarded_class': 2022-11-23T01:30:35.5437015Z } 2022-11-23T01:30:35.5437078Z 2022-11-23T01:30:35.5437149Z - 2022-11-23T01:30:35.5437272Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5437335Z { 2022-11-23T01:30:35.5437477Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5437570Z 'code': None, 2022-11-23T01:30:35.5437782Z 'obj_weakref': 2022-11-23T01:30:35.5438035Z 'guarded_class': 2022-11-23T01:30:35.5438101Z } 2022-11-23T01:30:35.5438163Z 2022-11-23T01:30:35.5438272Z - 2022-11-23T01:30:35.5438392Z local 'model' NN_MODULE 2022-11-23T01:30:35.5438443Z { 2022-11-23T01:30:35.5438578Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5438747Z 'code': ['___check_obj_id(model, 140534622829920)'], 2022-11-23T01:30:35.5438971Z 'obj_weakref': 2022-11-23T01:30:35.5439204Z 'guarded_class': 2022-11-23T01:30:35.5439268Z } 2022-11-23T01:30:35.5439331Z 2022-11-23T01:30:35.5439387Z - 2022-11-23T01:30:35.5439513Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5439577Z { 2022-11-23T01:30:35.5439743Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5439959Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5440188Z 'obj_weakref': None 2022-11-23T01:30:35.5440412Z 'guarded_class': 2022-11-23T01:30:35.5440462Z } 2022-11-23T01:30:35.5440525Z 2022-11-23T01:30:35.5440594Z - 2022-11-23T01:30:35.5440740Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5440804Z { 2022-11-23T01:30:35.5440925Z 'guard_types': None, 2022-11-23T01:30:35.5441032Z 'code': None, 2022-11-23T01:30:35.5441136Z 'obj_weakref': None 2022-11-23T01:30:35.5441258Z 'guarded_class': None 2022-11-23T01:30:35.5441320Z } 2022-11-23T01:30:35.5441383Z 2022-11-23T01:30:35.5441451Z - 2022-11-23T01:30:35.5441596Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5441662Z { 2022-11-23T01:30:35.5441767Z 'guard_types': None, 2022-11-23T01:30:35.5441872Z 'code': None, 2022-11-23T01:30:35.5441992Z 'obj_weakref': None 2022-11-23T01:30:35.5442114Z 'guarded_class': None 2022-11-23T01:30:35.5442177Z } 2022-11-23T01:30:35.5442239Z 2022-11-23T01:30:35.5442501Z [2022-11-23 01:23:34,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130 2022-11-23T01:30:35.5442512Z 2022-11-23T01:30:35.5442592Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5442661Z import torch 2022-11-23T01:30:35.5442729Z import random 2022-11-23T01:30:35.5442844Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5442965Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5442970Z 2022-11-23T01:30:35.5443047Z aten = torch.ops.aten 2022-11-23T01:30:35.5443183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5443265Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5443269Z 2022-11-23T01:30:35.5443287Z 2022-11-23T01:30:35.5443363Z async_compile.wait(globals()) 2022-11-23T01:30:35.5443435Z del async_compile 2022-11-23T01:30:35.5443440Z 2022-11-23T01:30:35.5443509Z def call(args): 2022-11-23T01:30:35.5443630Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5443701Z args.clear() 2022-11-23T01:30:35.5443842Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5443958Z assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5444014Z del arg0_1 2022-11-23T01:30:35.5444080Z del arg1_1 2022-11-23T01:30:35.5444145Z del arg7_1 2022-11-23T01:30:35.5444217Z return (buf0, ) 2022-11-23T01:30:35.5444221Z 2022-11-23T01:30:35.5444226Z 2022-11-23T01:30:35.5444303Z if __name__ == "__main__": 2022-11-23T01:30:35.5444417Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5444539Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5444979Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5445174Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5445365Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5445550Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5445736Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5445919Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5446097Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5446332Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5446548Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5446556Z 2022-11-23T01:30:35.5446560Z 2022-11-23T01:30:35.5446654Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5446711Z import torch 2022-11-23T01:30:35.5446781Z import random 2022-11-23T01:30:35.5446897Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5447017Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5447021Z 2022-11-23T01:30:35.5447099Z aten = torch.ops.aten 2022-11-23T01:30:35.5447233Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5447325Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5447330Z 2022-11-23T01:30:35.5447334Z 2022-11-23T01:30:35.5447455Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5447663Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5447784Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5447885Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5447949Z { 2022-11-23T01:30:35.5448047Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5448109Z { 2022-11-23T01:30:35.5448174Z #pragma omp for 2022-11-23T01:30:35.5448254Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5448316Z { 2022-11-23T01:30:35.5448395Z #pragma GCC ivdep 2022-11-23T01:30:35.5448485Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5448547Z { 2022-11-23T01:30:35.5448611Z { 2022-11-23T01:30:35.5448664Z { 2022-11-23T01:30:35.5448769Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5448866Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5448931Z } 2022-11-23T01:30:35.5448996Z } 2022-11-23T01:30:35.5449058Z } 2022-11-23T01:30:35.5449118Z } 2022-11-23T01:30:35.5449168Z } 2022-11-23T01:30:35.5449226Z } 2022-11-23T01:30:35.5449303Z ''') 2022-11-23T01:30:35.5449311Z 2022-11-23T01:30:35.5449315Z 2022-11-23T01:30:35.5449404Z async_compile.wait(globals()) 2022-11-23T01:30:35.5449475Z del async_compile 2022-11-23T01:30:35.5449480Z 2022-11-23T01:30:35.5449549Z def call(args): 2022-11-23T01:30:35.5449667Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5449725Z args.clear() 2022-11-23T01:30:35.5449959Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5450091Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5450160Z del arg7_1 2022-11-23T01:30:35.5450300Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5450418Z assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5450486Z del arg0_1 2022-11-23T01:30:35.5450551Z del arg1_1 2022-11-23T01:30:35.5450639Z return (buf1, ) 2022-11-23T01:30:35.5450644Z 2022-11-23T01:30:35.5450648Z 2022-11-23T01:30:35.5450725Z if __name__ == "__main__": 2022-11-23T01:30:35.5450838Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5450959Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5451177Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5451366Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5451555Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5451738Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5451909Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5452121Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5452302Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5452533Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5452686Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5452691Z 2022-11-23T01:30:35.5452695Z 2022-11-23T01:30:35.5452789Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5452856Z import torch 2022-11-23T01:30:35.5452924Z import random 2022-11-23T01:30:35.5453025Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5453143Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5453148Z 2022-11-23T01:30:35.5453224Z aten = torch.ops.aten 2022-11-23T01:30:35.5453358Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5453452Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5453456Z 2022-11-23T01:30:35.5453460Z 2022-11-23T01:30:35.5453548Z async_compile.wait(globals()) 2022-11-23T01:30:35.5453618Z del async_compile 2022-11-23T01:30:35.5453623Z 2022-11-23T01:30:35.5453693Z def call(args): 2022-11-23T01:30:35.5453795Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5453866Z args.clear() 2022-11-23T01:30:35.5454004Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5454118Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5454184Z del arg0_1 2022-11-23T01:30:35.5454249Z del arg1_1 2022-11-23T01:30:35.5454313Z del arg7_1 2022-11-23T01:30:35.5454370Z return (buf0, ) 2022-11-23T01:30:35.5454388Z 2022-11-23T01:30:35.5454392Z 2022-11-23T01:30:35.5454453Z if __name__ == "__main__": 2022-11-23T01:30:35.5454569Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5454689Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5454903Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5455095Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5455284Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5455471Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5455645Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5455828Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5456004Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5456236Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5456390Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5456395Z 2022-11-23T01:30:35.5456428Z 2022-11-23T01:30:35.5456522Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5456590Z import torch 2022-11-23T01:30:35.5456659Z import random 2022-11-23T01:30:35.5456771Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5456878Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5456883Z 2022-11-23T01:30:35.5456960Z aten = torch.ops.aten 2022-11-23T01:30:35.5457091Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5457180Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5457185Z 2022-11-23T01:30:35.5457189Z 2022-11-23T01:30:35.5457320Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5457520Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5457664Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5457763Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5457812Z { 2022-11-23T01:30:35.5457910Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5457972Z { 2022-11-23T01:30:35.5458062Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5458141Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5458203Z { 2022-11-23T01:30:35.5458279Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5458343Z { 2022-11-23T01:30:35.5458406Z { 2022-11-23T01:30:35.5458471Z { 2022-11-23T01:30:35.5458571Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5458668Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5458733Z } 2022-11-23T01:30:35.5458785Z } 2022-11-23T01:30:35.5458848Z } 2022-11-23T01:30:35.5458912Z } 2022-11-23T01:30:35.5458975Z } 2022-11-23T01:30:35.5459033Z } 2022-11-23T01:30:35.5459110Z ''') 2022-11-23T01:30:35.5459115Z 2022-11-23T01:30:35.5459119Z 2022-11-23T01:30:35.5459210Z async_compile.wait(globals()) 2022-11-23T01:30:35.5459268Z del async_compile 2022-11-23T01:30:35.5459286Z 2022-11-23T01:30:35.5459342Z def call(args): 2022-11-23T01:30:35.5459458Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5459530Z args.clear() 2022-11-23T01:30:35.5459764Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5459896Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5459962Z del arg7_1 2022-11-23T01:30:35.5460100Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5460203Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5460273Z del arg0_1 2022-11-23T01:30:35.5460337Z del arg1_1 2022-11-23T01:30:35.5460407Z return (buf1, ) 2022-11-23T01:30:35.5460411Z 2022-11-23T01:30:35.5460418Z 2022-11-23T01:30:35.5460494Z if __name__ == "__main__": 2022-11-23T01:30:35.5460606Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5460725Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5460936Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5461113Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5461300Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5461481Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5461664Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5461848Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5462026Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5462279Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5462434Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5462439Z 2022-11-23T01:30:35.5462796Z [2022-11-23 01:23:34,487] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py 2022-11-23T01:30:35.5463062Z [2022-11-23 01:23:34,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130 2022-11-23T01:30:35.5463298Z [2022-11-23 01:23:35,011] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5463608Z [2022-11-23 01:23:35,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5463860Z [2022-11-23 01:23:35,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5464107Z [2022-11-23 01:23:35,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5464375Z [2022-11-23 01:23:35,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5464683Z [2022-11-23 01:23:35,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5465016Z [2022-11-23 01:23:35,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5465330Z [2022-11-23 01:23:35,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5465566Z [2022-11-23 01:23:35,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5465801Z [2022-11-23 01:23:35,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5466053Z [2022-11-23 01:23:35,028] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5466298Z [2022-11-23 01:23:35,098] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5466487Z [2022-11-23 01:23:35,099] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5466619Z __compiled_fn_132 .1186 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5466707Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5466806Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5466903Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5466908Z 2022-11-23T01:30:35.5467222Z [2022-11-23 01:23:35,099] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5467318Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5467406Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5467492Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5467583Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5467667Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5467754Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5467818Z 12 RETURN_VALUE 2022-11-23T01:30:35.5467835Z 2022-11-23T01:30:35.5467883Z 2022-11-23T01:30:35.5468206Z [2022-11-23 01:23:35,099] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5468315Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_132) 2022-11-23T01:30:35.5468406Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5468493Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5468569Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5468682Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5468760Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5468834Z 12 RETURN_VALUE 2022-11-23T01:30:35.5468839Z 2022-11-23T01:30:35.5468899Z 2022-11-23T01:30:35.5469079Z [2022-11-23 01:23:35,100] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5469147Z - 2022-11-23T01:30:35.5469267Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5469330Z { 2022-11-23T01:30:35.5469457Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5469640Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5469757Z 'obj_weakref': None 2022-11-23T01:30:35.5469983Z 'guarded_class': 2022-11-23T01:30:35.5470078Z } 2022-11-23T01:30:35.5470141Z 2022-11-23T01:30:35.5470210Z - 2022-11-23T01:30:35.5470322Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5470384Z { 2022-11-23T01:30:35.5470527Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5470632Z 'code': None, 2022-11-23T01:30:35.5470839Z 'obj_weakref': 2022-11-23T01:30:35.5471088Z 'guarded_class': 2022-11-23T01:30:35.5471152Z } 2022-11-23T01:30:35.5471202Z 2022-11-23T01:30:35.5471270Z - 2022-11-23T01:30:35.5471387Z local 'model' NN_MODULE 2022-11-23T01:30:35.5471450Z { 2022-11-23T01:30:35.5471584Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5471751Z 'code': ['___check_obj_id(model, 140534622829920)'], 2022-11-23T01:30:35.5471971Z 'obj_weakref': 2022-11-23T01:30:35.5472192Z 'guarded_class': 2022-11-23T01:30:35.5472256Z } 2022-11-23T01:30:35.5472317Z 2022-11-23T01:30:35.5472387Z - 2022-11-23T01:30:35.5472509Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5472571Z { 2022-11-23T01:30:35.5472706Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5472905Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5473058Z 'obj_weakref': None 2022-11-23T01:30:35.5473280Z 'guarded_class': 2022-11-23T01:30:35.5473344Z } 2022-11-23T01:30:35.5473409Z 2022-11-23T01:30:35.5473481Z - 2022-11-23T01:30:35.5473626Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5473676Z { 2022-11-23T01:30:35.5473799Z 'guard_types': None, 2022-11-23T01:30:35.5473906Z 'code': None, 2022-11-23T01:30:35.5474024Z 'obj_weakref': None 2022-11-23T01:30:35.5474144Z 'guarded_class': None 2022-11-23T01:30:35.5474206Z } 2022-11-23T01:30:35.5474270Z 2022-11-23T01:30:35.5474326Z - 2022-11-23T01:30:35.5474469Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5474532Z { 2022-11-23T01:30:35.5474649Z 'guard_types': None, 2022-11-23T01:30:35.5474753Z 'code': None, 2022-11-23T01:30:35.5474868Z 'obj_weakref': None 2022-11-23T01:30:35.5474988Z 'guarded_class': None 2022-11-23T01:30:35.5475037Z } 2022-11-23T01:30:35.5475098Z 2022-11-23T01:30:35.5475362Z [2022-11-23 01:23:35,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131 2022-11-23T01:30:35.5475753Z [2022-11-23 01:23:35,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2rfaa6g2pe6xz2wid37wv72lbuka7yvue7tqaqa4sist5rqm7j.py 2022-11-23T01:30:35.5476018Z [2022-11-23 01:23:35,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131 2022-11-23T01:30:35.5476252Z [2022-11-23 01:23:35,561] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5476564Z [2022-11-23 01:23:35,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5476779Z [2022-11-23 01:23:35,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5477009Z [2022-11-23 01:23:35,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5477306Z [2022-11-23 01:23:35,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5477619Z [2022-11-23 01:23:35,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5477953Z [2022-11-23 01:23:35,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5478262Z [2022-11-23 01:23:35,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5478509Z [2022-11-23 01:23:35,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5478743Z [2022-11-23 01:23:35,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5478994Z [2022-11-23 01:23:35,577] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5479247Z [2022-11-23 01:23:35,600] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5479434Z [2022-11-23 01:23:35,600] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5479555Z __compiled_fn_133 .1197 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5479644Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5479742Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5479840Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5479845Z 2022-11-23T01:30:35.5480249Z [2022-11-23 01:23:35,600] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5480345Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5480433Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5480524Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5480602Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5480685Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5480775Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5480851Z 12 RETURN_VALUE 2022-11-23T01:30:35.5480856Z 2022-11-23T01:30:35.5480916Z 2022-11-23T01:30:35.5481245Z [2022-11-23 01:23:35,601] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5481351Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_133) 2022-11-23T01:30:35.5481441Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5481517Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5481594Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5481682Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5481771Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5481848Z 12 RETURN_VALUE 2022-11-23T01:30:35.5481853Z 2022-11-23T01:30:35.5481913Z 2022-11-23T01:30:35.5482137Z [2022-11-23 01:23:35,601] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5482196Z - 2022-11-23T01:30:35.5482315Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5482380Z { 2022-11-23T01:30:35.5482520Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5482705Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5482823Z 'obj_weakref': None 2022-11-23T01:30:35.5483047Z 'guarded_class': 2022-11-23T01:30:35.5483097Z } 2022-11-23T01:30:35.5483161Z 2022-11-23T01:30:35.5483230Z - 2022-11-23T01:30:35.5483355Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5483417Z { 2022-11-23T01:30:35.5483559Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5483698Z 'code': None, 2022-11-23T01:30:35.5483899Z 'obj_weakref': 2022-11-23T01:30:35.5484153Z 'guarded_class': 2022-11-23T01:30:35.5484217Z } 2022-11-23T01:30:35.5484280Z 2022-11-23T01:30:35.5484349Z - 2022-11-23T01:30:35.5484468Z local 'model' NN_MODULE 2022-11-23T01:30:35.5484530Z { 2022-11-23T01:30:35.5484651Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5484928Z 'code': ['___check_obj_id(model, 140534431180848)'], 2022-11-23T01:30:35.5485153Z 'obj_weakref': 2022-11-23T01:30:35.5485383Z 'guarded_class': 2022-11-23T01:30:35.5485450Z } 2022-11-23T01:30:35.5485513Z 2022-11-23T01:30:35.5485581Z - 2022-11-23T01:30:35.5485690Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5485753Z { 2022-11-23T01:30:35.5485890Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5486105Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5486223Z 'obj_weakref': None 2022-11-23T01:30:35.5486444Z 'guarded_class': 2022-11-23T01:30:35.5486507Z } 2022-11-23T01:30:35.5486556Z 2022-11-23T01:30:35.5486626Z - 2022-11-23T01:30:35.5486769Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5486835Z { 2022-11-23T01:30:35.5486954Z 'guard_types': None, 2022-11-23T01:30:35.5487058Z 'code': None, 2022-11-23T01:30:35.5487174Z 'obj_weakref': None 2022-11-23T01:30:35.5487285Z 'guarded_class': None 2022-11-23T01:30:35.5487348Z } 2022-11-23T01:30:35.5487411Z 2022-11-23T01:30:35.5487480Z - 2022-11-23T01:30:35.5487626Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5487688Z { 2022-11-23T01:30:35.5487793Z 'guard_types': None, 2022-11-23T01:30:35.5487896Z 'code': None, 2022-11-23T01:30:35.5488012Z 'obj_weakref': None 2022-11-23T01:30:35.5488131Z 'guarded_class': None 2022-11-23T01:30:35.5488193Z } 2022-11-23T01:30:35.5488253Z 2022-11-23T01:30:35.5488510Z [2022-11-23 01:23:35,613] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132 2022-11-23T01:30:35.5488871Z [2022-11-23 01:23:35,622] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py 2022-11-23T01:30:35.5489120Z [2022-11-23 01:23:35,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132 2022-11-23T01:30:35.5489411Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5489727Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5489944Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5490187Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5490452Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5490764Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5491149Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5491462Z [2022-11-23 01:23:35,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5491707Z [2022-11-23 01:23:35,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5491927Z [2022-11-23 01:23:35,822] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5492182Z [2022-11-23 01:23:35,823] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5492426Z [2022-11-23 01:23:35,843] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5492612Z [2022-11-23 01:23:35,844] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5492746Z __compiled_fn_134 .1208 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5492835Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5492936Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5493034Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5493040Z 2022-11-23T01:30:35.5493353Z [2022-11-23 01:23:35,844] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5493447Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5493536Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5493624Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5493716Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5493799Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5493887Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5493962Z 12 RETURN_VALUE 2022-11-23T01:30:35.5493970Z 2022-11-23T01:30:35.5494019Z 2022-11-23T01:30:35.5494342Z [2022-11-23 01:23:35,844] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5494448Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_134) 2022-11-23T01:30:35.5494536Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5494625Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5494700Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5494838Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5494913Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5494987Z 12 RETURN_VALUE 2022-11-23T01:30:35.5494992Z 2022-11-23T01:30:35.5495052Z 2022-11-23T01:30:35.5495232Z [2022-11-23 01:23:35,845] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5495302Z - 2022-11-23T01:30:35.5495420Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5495485Z { 2022-11-23T01:30:35.5495611Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5495796Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5495945Z 'obj_weakref': None 2022-11-23T01:30:35.5496172Z 'guarded_class': 2022-11-23T01:30:35.5496235Z } 2022-11-23T01:30:35.5496297Z 2022-11-23T01:30:35.5496365Z - 2022-11-23T01:30:35.5496473Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5496536Z { 2022-11-23T01:30:35.5496679Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5496785Z 'code': None, 2022-11-23T01:30:35.5496994Z 'obj_weakref': 2022-11-23T01:30:35.5497245Z 'guarded_class': 2022-11-23T01:30:35.5497341Z } 2022-11-23T01:30:35.5497403Z 2022-11-23T01:30:35.5497460Z - 2022-11-23T01:30:35.5497578Z local 'model' NN_MODULE 2022-11-23T01:30:35.5497644Z { 2022-11-23T01:30:35.5497779Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5497946Z 'code': ['___check_obj_id(model, 140534431180848)'], 2022-11-23T01:30:35.5498166Z 'obj_weakref': 2022-11-23T01:30:35.5498400Z 'guarded_class': 2022-11-23T01:30:35.5498451Z } 2022-11-23T01:30:35.5498512Z 2022-11-23T01:30:35.5498580Z - 2022-11-23T01:30:35.5498701Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5498763Z { 2022-11-23T01:30:35.5498896Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5499098Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5499219Z 'obj_weakref': None 2022-11-23T01:30:35.5499441Z 'guarded_class': 2022-11-23T01:30:35.5499502Z } 2022-11-23T01:30:35.5499564Z 2022-11-23T01:30:35.5499632Z - 2022-11-23T01:30:35.5499777Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5499827Z { 2022-11-23T01:30:35.5499944Z 'guard_types': None, 2022-11-23T01:30:35.5500048Z 'code': None, 2022-11-23T01:30:35.5500164Z 'obj_weakref': None 2022-11-23T01:30:35.5500283Z 'guarded_class': None 2022-11-23T01:30:35.5500345Z } 2022-11-23T01:30:35.5500409Z 2022-11-23T01:30:35.5500464Z - 2022-11-23T01:30:35.5500608Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5500669Z { 2022-11-23T01:30:35.5500786Z 'guard_types': None, 2022-11-23T01:30:35.5500893Z 'code': None, 2022-11-23T01:30:35.5501008Z 'obj_weakref': None 2022-11-23T01:30:35.5501129Z 'guarded_class': None 2022-11-23T01:30:35.5501179Z } 2022-11-23T01:30:35.5501241Z 2022-11-23T01:30:35.5501499Z [2022-11-23 01:23:35,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133 2022-11-23T01:30:35.5501863Z [2022-11-23 01:23:35,865] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpnf53kwmvder33b67ixassl3lejnar3tszy45o23d3mkp3dzjkt.py 2022-11-23T01:30:35.5502125Z [2022-11-23 01:23:35,865] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133 2022-11-23T01:30:35.5502361Z [2022-11-23 01:23:36,077] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5502674Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5502891Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5503162Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5503417Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5503731Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5504067Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5504375Z [2022-11-23 01:23:36,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5504650Z [2022-11-23 01:23:36,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5504884Z [2022-11-23 01:23:36,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5505137Z [2022-11-23 01:23:36,094] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5505386Z [2022-11-23 01:23:36,166] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5505574Z [2022-11-23 01:23:36,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5505694Z __compiled_fn_135 .1219 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5505784Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5505881Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5505980Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5505985Z 2022-11-23T01:30:35.5506315Z [2022-11-23 01:23:36,167] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5506410Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5506499Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5506584Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5506661Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5506745Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5506832Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5506908Z 12 RETURN_VALUE 2022-11-23T01:30:35.5506913Z 2022-11-23T01:30:35.5506973Z 2022-11-23T01:30:35.5507299Z [2022-11-23 01:23:36,167] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5507405Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_135) 2022-11-23T01:30:35.5507498Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5507574Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5507649Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5507738Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5507826Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5507909Z 12 RETURN_VALUE 2022-11-23T01:30:35.5507913Z 2022-11-23T01:30:35.5507973Z 2022-11-23T01:30:35.5508154Z [2022-11-23 01:23:36,168] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5508211Z - 2022-11-23T01:30:35.5508329Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5508392Z { 2022-11-23T01:30:35.5508531Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5508714Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5508832Z 'obj_weakref': None 2022-11-23T01:30:35.5509057Z 'guarded_class': 2022-11-23T01:30:35.5509110Z } 2022-11-23T01:30:35.5509172Z 2022-11-23T01:30:35.5509241Z - 2022-11-23T01:30:35.5509394Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5509459Z { 2022-11-23T01:30:35.5509602Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5509706Z 'code': None, 2022-11-23T01:30:35.5509905Z 'obj_weakref': 2022-11-23T01:30:35.5510155Z 'guarded_class': 2022-11-23T01:30:35.5510237Z } 2022-11-23T01:30:35.5510299Z 2022-11-23T01:30:35.5510368Z - 2022-11-23T01:30:35.5510486Z local 'model' NN_MODULE 2022-11-23T01:30:35.5510549Z { 2022-11-23T01:30:35.5510668Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5510832Z 'code': ['___check_obj_id(model, 140534624819840)'], 2022-11-23T01:30:35.5511078Z 'obj_weakref': 2022-11-23T01:30:35.5511314Z 'guarded_class': 2022-11-23T01:30:35.5511377Z } 2022-11-23T01:30:35.5511440Z 2022-11-23T01:30:35.5511509Z - 2022-11-23T01:30:35.5511616Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5511679Z { 2022-11-23T01:30:35.5511812Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5512028Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5512144Z 'obj_weakref': None 2022-11-23T01:30:35.5512363Z 'guarded_class': 2022-11-23T01:30:35.5512427Z } 2022-11-23T01:30:35.5512476Z 2022-11-23T01:30:35.5512548Z - 2022-11-23T01:30:35.5512691Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5512754Z { 2022-11-23T01:30:35.5512876Z 'guard_types': None, 2022-11-23T01:30:35.5512982Z 'code': None, 2022-11-23T01:30:35.5513098Z 'obj_weakref': None 2022-11-23T01:30:35.5513205Z 'guarded_class': None 2022-11-23T01:30:35.5513267Z } 2022-11-23T01:30:35.5513329Z 2022-11-23T01:30:35.5513399Z - 2022-11-23T01:30:35.5513543Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5513606Z { 2022-11-23T01:30:35.5513723Z 'guard_types': None, 2022-11-23T01:30:35.5513814Z 'code': None, 2022-11-23T01:30:35.5513929Z 'obj_weakref': None 2022-11-23T01:30:35.5514057Z 'guarded_class': None 2022-11-23T01:30:35.5514123Z } 2022-11-23T01:30:35.5514186Z 2022-11-23T01:30:35.5514446Z [2022-11-23 01:23:36,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134 2022-11-23T01:30:35.5514454Z 2022-11-23T01:30:35.5514547Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5514604Z import torch 2022-11-23T01:30:35.5514673Z import random 2022-11-23T01:30:35.5514788Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5514911Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5514916Z 2022-11-23T01:30:35.5514993Z aten = torch.ops.aten 2022-11-23T01:30:35.5515126Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5515217Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5515222Z 2022-11-23T01:30:35.5515226Z 2022-11-23T01:30:35.5515312Z async_compile.wait(globals()) 2022-11-23T01:30:35.5515372Z del async_compile 2022-11-23T01:30:35.5515377Z 2022-11-23T01:30:35.5515449Z def call(args): 2022-11-23T01:30:35.5515570Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5515645Z args.clear() 2022-11-23T01:30:35.5515785Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5515933Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5516002Z del arg0_1 2022-11-23T01:30:35.5516056Z del arg1_1 2022-11-23T01:30:35.5516125Z del arg7_1 2022-11-23T01:30:35.5516194Z return (buf0, ) 2022-11-23T01:30:35.5516199Z 2022-11-23T01:30:35.5516203Z 2022-11-23T01:30:35.5516281Z if __name__ == "__main__": 2022-11-23T01:30:35.5516395Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5516517Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5516733Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5516929Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5517107Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5517355Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5517545Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5517733Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5517911Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5518146Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5518302Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5518308Z 2022-11-23T01:30:35.5518312Z 2022-11-23T01:30:35.5518405Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5518462Z import torch 2022-11-23T01:30:35.5518532Z import random 2022-11-23T01:30:35.5518646Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5518770Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5518775Z 2022-11-23T01:30:35.5518853Z aten = torch.ops.aten 2022-11-23T01:30:35.5518990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5519081Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5519085Z 2022-11-23T01:30:35.5519089Z 2022-11-23T01:30:35.5519223Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5519414Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5519533Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5519631Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5519694Z { 2022-11-23T01:30:35.5519794Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5519856Z { 2022-11-23T01:30:35.5519933Z #pragma omp for 2022-11-23T01:30:35.5520085Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5520156Z { 2022-11-23T01:30:35.5520236Z #pragma GCC ivdep 2022-11-23T01:30:35.5520326Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5520390Z { 2022-11-23T01:30:35.5520456Z { 2022-11-23T01:30:35.5520522Z { 2022-11-23T01:30:35.5520613Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5520710Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5520776Z } 2022-11-23T01:30:35.5520840Z } 2022-11-23T01:30:35.5520904Z } 2022-11-23T01:30:35.5520966Z } 2022-11-23T01:30:35.5521026Z } 2022-11-23T01:30:35.5521074Z } 2022-11-23T01:30:35.5521153Z ''') 2022-11-23T01:30:35.5521159Z 2022-11-23T01:30:35.5521163Z 2022-11-23T01:30:35.5521250Z async_compile.wait(globals()) 2022-11-23T01:30:35.5521322Z del async_compile 2022-11-23T01:30:35.5521327Z 2022-11-23T01:30:35.5521396Z def call(args): 2022-11-23T01:30:35.5521516Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5521585Z args.clear() 2022-11-23T01:30:35.5521848Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5521983Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5522051Z del arg7_1 2022-11-23T01:30:35.5522192Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5522314Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5522382Z del arg0_1 2022-11-23T01:30:35.5522449Z del arg1_1 2022-11-23T01:30:35.5522519Z return (buf1, ) 2022-11-23T01:30:35.5522524Z 2022-11-23T01:30:35.5522528Z 2022-11-23T01:30:35.5522590Z if __name__ == "__main__": 2022-11-23T01:30:35.5522704Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5522825Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5523073Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5523269Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5523461Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5523649Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5523826Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5529346Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5529660Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5529905Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5530096Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5530112Z 2022-11-23T01:30:35.5530117Z 2022-11-23T01:30:35.5530235Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5530334Z import torch 2022-11-23T01:30:35.5530417Z import random 2022-11-23T01:30:35.5530535Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5530657Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5530662Z 2022-11-23T01:30:35.5530741Z aten = torch.ops.aten 2022-11-23T01:30:35.5530875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5530969Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5530974Z 2022-11-23T01:30:35.5530978Z 2022-11-23T01:30:35.5531067Z async_compile.wait(globals()) 2022-11-23T01:30:35.5531138Z del async_compile 2022-11-23T01:30:35.5531143Z 2022-11-23T01:30:35.5531200Z def call(args): 2022-11-23T01:30:35.5531318Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5531394Z args.clear() 2022-11-23T01:30:35.5531539Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5531658Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5531726Z del arg0_1 2022-11-23T01:30:35.5531793Z del arg1_1 2022-11-23T01:30:35.5531857Z del arg7_1 2022-11-23T01:30:35.5531915Z return (buf0, ) 2022-11-23T01:30:35.5531920Z 2022-11-23T01:30:35.5531924Z 2022-11-23T01:30:35.5531998Z if __name__ == "__main__": 2022-11-23T01:30:35.5532113Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5532235Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5532456Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5532651Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5532841Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5533031Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5533306Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5533495Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5533676Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5533909Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5534067Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5534072Z 2022-11-23T01:30:35.5534076Z 2022-11-23T01:30:35.5534172Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5534242Z import torch 2022-11-23T01:30:35.5534312Z import random 2022-11-23T01:30:35.5534415Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5534588Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5534593Z 2022-11-23T01:30:35.5534670Z aten = torch.ops.aten 2022-11-23T01:30:35.5534807Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5534898Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5534903Z 2022-11-23T01:30:35.5534907Z 2022-11-23T01:30:35.5535041Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5535245Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5535363Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5535449Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5535511Z { 2022-11-23T01:30:35.5535608Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5535671Z { 2022-11-23T01:30:35.5535762Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5535843Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5535913Z { 2022-11-23T01:30:35.5535990Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5536054Z { 2022-11-23T01:30:35.5536119Z { 2022-11-23T01:30:35.5536187Z { 2022-11-23T01:30:35.5536289Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5536388Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5536455Z } 2022-11-23T01:30:35.5536505Z } 2022-11-23T01:30:35.5536567Z } 2022-11-23T01:30:35.5536629Z } 2022-11-23T01:30:35.5536691Z } 2022-11-23T01:30:35.5536752Z } 2022-11-23T01:30:35.5536829Z ''') 2022-11-23T01:30:35.5536834Z 2022-11-23T01:30:35.5536838Z 2022-11-23T01:30:35.5536929Z async_compile.wait(globals()) 2022-11-23T01:30:35.5536987Z del async_compile 2022-11-23T01:30:35.5536992Z 2022-11-23T01:30:35.5537061Z def call(args): 2022-11-23T01:30:35.5537177Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5537251Z args.clear() 2022-11-23T01:30:35.5537484Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5537618Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5537686Z del arg7_1 2022-11-23T01:30:35.5537812Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5537928Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5537995Z del arg0_1 2022-11-23T01:30:35.5538060Z del arg1_1 2022-11-23T01:30:35.5538130Z return (buf1, ) 2022-11-23T01:30:35.5538135Z 2022-11-23T01:30:35.5538139Z 2022-11-23T01:30:35.5538215Z if __name__ == "__main__": 2022-11-23T01:30:35.5538328Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5538449Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5538648Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5538842Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5539076Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5539263Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5539448Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5539634Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5539810Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5540037Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5540177Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5540182Z 2022-11-23T01:30:35.5540588Z [2022-11-23 01:23:36,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py 2022-11-23T01:30:35.5540857Z [2022-11-23 01:23:36,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134 2022-11-23T01:30:35.5541096Z [2022-11-23 01:23:36,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5541413Z [2022-11-23 01:23:36,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5541630Z [2022-11-23 01:23:36,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5541875Z [2022-11-23 01:23:36,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5542144Z [2022-11-23 01:23:36,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5542459Z [2022-11-23 01:23:36,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5542792Z [2022-11-23 01:23:36,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5543092Z [2022-11-23 01:23:36,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5543339Z [2022-11-23 01:23:36,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5543571Z [2022-11-23 01:23:36,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5543823Z [2022-11-23 01:23:36,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5544069Z [2022-11-23 01:23:36,808] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5544259Z [2022-11-23 01:23:36,808] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5544397Z __compiled_fn_136 .1230 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5544488Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5544587Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5544674Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5544679Z 2022-11-23T01:30:35.5545003Z [2022-11-23 01:23:36,808] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5545097Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5545187Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5545273Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5545364Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5545452Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5545538Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5545601Z 12 RETURN_VALUE 2022-11-23T01:30:35.5545635Z 2022-11-23T01:30:35.5545697Z 2022-11-23T01:30:35.5546019Z [2022-11-23 01:23:36,809] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5546126Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_136) 2022-11-23T01:30:35.5546217Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5546306Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5546380Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5546455Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5546545Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5546619Z 12 RETURN_VALUE 2022-11-23T01:30:35.5546624Z 2022-11-23T01:30:35.5546684Z 2022-11-23T01:30:35.5546894Z [2022-11-23 01:23:36,809] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5546965Z - 2022-11-23T01:30:35.5547085Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5547140Z { 2022-11-23T01:30:35.5547279Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5547465Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5547583Z 'obj_weakref': None 2022-11-23T01:30:35.5547807Z 'guarded_class': 2022-11-23T01:30:35.5547870Z } 2022-11-23T01:30:35.5547932Z 2022-11-23T01:30:35.5547989Z - 2022-11-23T01:30:35.5548110Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5548173Z { 2022-11-23T01:30:35.5548313Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5548420Z 'code': None, 2022-11-23T01:30:35.5548629Z 'obj_weakref': 2022-11-23T01:30:35.5548888Z 'guarded_class': 2022-11-23T01:30:35.5548954Z } 2022-11-23T01:30:35.5549004Z 2022-11-23T01:30:35.5549073Z - 2022-11-23T01:30:35.5549192Z local 'model' NN_MODULE 2022-11-23T01:30:35.5549254Z { 2022-11-23T01:30:35.5549388Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5549555Z 'code': ['___check_obj_id(model, 140534624819840)'], 2022-11-23T01:30:35.5549759Z 'obj_weakref': 2022-11-23T01:30:35.5549991Z 'guarded_class': 2022-11-23T01:30:35.5550053Z } 2022-11-23T01:30:35.5550116Z 2022-11-23T01:30:35.5550183Z - 2022-11-23T01:30:35.5550308Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5550370Z { 2022-11-23T01:30:35.5550491Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5550707Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5550824Z 'obj_weakref': None 2022-11-23T01:30:35.5551044Z 'guarded_class': 2022-11-23T01:30:35.5551106Z } 2022-11-23T01:30:35.5551170Z 2022-11-23T01:30:35.5551239Z - 2022-11-23T01:30:35.5551369Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5551432Z { 2022-11-23T01:30:35.5551552Z 'guard_types': None, 2022-11-23T01:30:35.5551658Z 'code': None, 2022-11-23T01:30:35.5551774Z 'obj_weakref': None 2022-11-23T01:30:35.5551892Z 'guarded_class': None 2022-11-23T01:30:35.5551955Z } 2022-11-23T01:30:35.5552007Z 2022-11-23T01:30:35.5552075Z - 2022-11-23T01:30:35.5552219Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5552282Z { 2022-11-23T01:30:35.5552430Z 'guard_types': None, 2022-11-23T01:30:35.5552537Z 'code': None, 2022-11-23T01:30:35.5552653Z 'obj_weakref': None 2022-11-23T01:30:35.5552760Z 'guarded_class': None 2022-11-23T01:30:35.5552823Z } 2022-11-23T01:30:35.5552885Z 2022-11-23T01:30:35.5553146Z [2022-11-23 01:23:36,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135 2022-11-23T01:30:35.5553522Z [2022-11-23 01:23:36,831] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakugsofdso7etktnucpcxukbl7qolhlyxtsft47uenxvagf6r2u.py 2022-11-23T01:30:35.5553786Z [2022-11-23 01:23:36,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135 2022-11-23T01:30:35.5554050Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5554363Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5554567Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5554811Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5555079Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5555386Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5555717Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5556031Z [2022-11-23 01:23:37,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5556278Z [2022-11-23 01:23:37,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5556512Z [2022-11-23 01:23:37,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5556764Z [2022-11-23 01:23:37,342] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5557012Z [2022-11-23 01:23:37,370] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5557187Z [2022-11-23 01:23:37,370] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5557320Z __compiled_fn_137 .1241 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5557408Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5557509Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5557606Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5557611Z 2022-11-23T01:30:35.5557937Z [2022-11-23 01:23:37,370] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5558031Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5558121Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5558195Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5558287Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5558374Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5558461Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5558537Z 12 RETURN_VALUE 2022-11-23T01:30:35.5558542Z 2022-11-23T01:30:35.5558602Z 2022-11-23T01:30:35.5558924Z [2022-11-23 01:23:37,370] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5559032Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_137) 2022-11-23T01:30:35.5559139Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5559232Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5559309Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5559396Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5559486Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5559560Z 12 RETURN_VALUE 2022-11-23T01:30:35.5559564Z 2022-11-23T01:30:35.5559624Z 2022-11-23T01:30:35.5559795Z [2022-11-23 01:23:37,371] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5559864Z - 2022-11-23T01:30:35.5560089Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5560161Z { 2022-11-23T01:30:35.5560311Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5560532Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5560649Z 'obj_weakref': None 2022-11-23T01:30:35.5560863Z 'guarded_class': 2022-11-23T01:30:35.5560926Z } 2022-11-23T01:30:35.5560990Z 2022-11-23T01:30:35.5561058Z - 2022-11-23T01:30:35.5561184Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5561247Z { 2022-11-23T01:30:35.5561389Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5561482Z 'code': None, 2022-11-23T01:30:35.5561693Z 'obj_weakref': 2022-11-23T01:30:35.5561946Z 'guarded_class': 2022-11-23T01:30:35.5562009Z } 2022-11-23T01:30:35.5562072Z 2022-11-23T01:30:35.5562143Z - 2022-11-23T01:30:35.5562266Z local 'model' NN_MODULE 2022-11-23T01:30:35.5562316Z { 2022-11-23T01:30:35.5562453Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5562621Z 'code': ['___check_obj_id(model, 140534658784304)'], 2022-11-23T01:30:35.5562837Z 'obj_weakref': 2022-11-23T01:30:35.5563069Z 'guarded_class': 2022-11-23T01:30:35.5563133Z } 2022-11-23T01:30:35.5563198Z 2022-11-23T01:30:35.5563254Z - 2022-11-23T01:30:35.5563376Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5563438Z { 2022-11-23T01:30:35.5563572Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5563788Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5563907Z 'obj_weakref': None 2022-11-23T01:30:35.5564130Z 'guarded_class': 2022-11-23T01:30:35.5564181Z } 2022-11-23T01:30:35.5564245Z 2022-11-23T01:30:35.5564314Z - 2022-11-23T01:30:35.5564459Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5564520Z { 2022-11-23T01:30:35.5564637Z 'guard_types': None, 2022-11-23T01:30:35.5564883Z 'code': None, 2022-11-23T01:30:35.5565011Z 'obj_weakref': None 2022-11-23T01:30:35.5565133Z 'guarded_class': None 2022-11-23T01:30:35.5565195Z } 2022-11-23T01:30:35.5565258Z 2022-11-23T01:30:35.5565326Z - 2022-11-23T01:30:35.5565471Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5565534Z { 2022-11-23T01:30:35.5565639Z 'guard_types': None, 2022-11-23T01:30:35.5565743Z 'code': None, 2022-11-23T01:30:35.5565860Z 'obj_weakref': None 2022-11-23T01:30:35.5565984Z 'guarded_class': None 2022-11-23T01:30:35.5566048Z } 2022-11-23T01:30:35.5566110Z 2022-11-23T01:30:35.5566419Z [2022-11-23 01:23:37,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136 2022-11-23T01:30:35.5566796Z [2022-11-23 01:23:37,387] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py 2022-11-23T01:30:35.5567057Z [2022-11-23 01:23:37,387] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136 2022-11-23T01:30:35.5567292Z [2022-11-23 01:23:37,575] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5567608Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5567824Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5568104Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5568378Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5568692Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5569027Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5569337Z [2022-11-23 01:23:37,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5569570Z [2022-11-23 01:23:37,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5569804Z [2022-11-23 01:23:37,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5570058Z [2022-11-23 01:23:37,592] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5570303Z [2022-11-23 01:23:37,619] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5570492Z [2022-11-23 01:23:37,620] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5570627Z __compiled_fn_138 .1252 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5570716Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5570815Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5570901Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5570907Z 2022-11-23T01:30:35.5571230Z [2022-11-23 01:23:37,620] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5571326Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5571417Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5571505Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5571597Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5571682Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5571773Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5571835Z 12 RETURN_VALUE 2022-11-23T01:30:35.5571840Z 2022-11-23T01:30:35.5571901Z 2022-11-23T01:30:35.5572222Z [2022-11-23 01:23:37,620] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5572330Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_138) 2022-11-23T01:30:35.5572419Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5572507Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5572588Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5572663Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5572787Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5572863Z 12 RETURN_VALUE 2022-11-23T01:30:35.5572867Z 2022-11-23T01:30:35.5572929Z 2022-11-23T01:30:35.5573111Z [2022-11-23 01:23:37,621] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5573181Z - 2022-11-23T01:30:35.5573297Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5573348Z { 2022-11-23T01:30:35.5573486Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5573671Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5573789Z 'obj_weakref': None 2022-11-23T01:30:35.5574011Z 'guarded_class': 2022-11-23T01:30:35.5574075Z } 2022-11-23T01:30:35.5574185Z 2022-11-23T01:30:35.5574256Z - 2022-11-23T01:30:35.5574368Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5574429Z { 2022-11-23T01:30:35.5574574Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5574679Z 'code': None, 2022-11-23T01:30:35.5574890Z 'obj_weakref': 2022-11-23T01:30:35.5575141Z 'guarded_class': 2022-11-23T01:30:35.5575203Z } 2022-11-23T01:30:35.5575253Z 2022-11-23T01:30:35.5575322Z - 2022-11-23T01:30:35.5575440Z local 'model' NN_MODULE 2022-11-23T01:30:35.5575502Z { 2022-11-23T01:30:35.5575637Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5575806Z 'code': ['___check_obj_id(model, 140534658784304)'], 2022-11-23T01:30:35.5576026Z 'obj_weakref': 2022-11-23T01:30:35.5576251Z 'guarded_class': 2022-11-23T01:30:35.5576320Z } 2022-11-23T01:30:35.5576386Z 2022-11-23T01:30:35.5576457Z - 2022-11-23T01:30:35.5576577Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5576642Z { 2022-11-23T01:30:35.5576775Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5576976Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5577095Z 'obj_weakref': None 2022-11-23T01:30:35.5577317Z 'guarded_class': 2022-11-23T01:30:35.5577381Z } 2022-11-23T01:30:35.5577444Z 2022-11-23T01:30:35.5577513Z - 2022-11-23T01:30:35.5577658Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5577712Z { 2022-11-23T01:30:35.5577832Z 'guard_types': None, 2022-11-23T01:30:35.5577938Z 'code': None, 2022-11-23T01:30:35.5578057Z 'obj_weakref': None 2022-11-23T01:30:35.5578178Z 'guarded_class': None 2022-11-23T01:30:35.5578239Z } 2022-11-23T01:30:35.5578288Z 2022-11-23T01:30:35.5578355Z - 2022-11-23T01:30:35.5578502Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5578566Z { 2022-11-23T01:30:35.5578683Z 'guard_types': None, 2022-11-23T01:30:35.5578787Z 'code': None, 2022-11-23T01:30:35.5578905Z 'obj_weakref': None 2022-11-23T01:30:35.5579011Z 'guarded_class': None 2022-11-23T01:30:35.5579073Z } 2022-11-23T01:30:35.5579135Z 2022-11-23T01:30:35.5579393Z [2022-11-23 01:23:37,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137 2022-11-23T01:30:35.5579761Z [2022-11-23 01:23:37,642] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5q/c5qdg5qds3n32wjlryyenwdn56jfo54wfo5haqjrapk7z6li5y5d.py 2022-11-23T01:30:35.5580056Z [2022-11-23 01:23:37,642] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137 2022-11-23T01:30:35.5580296Z [2022-11-23 01:23:37,864] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5580611Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5580828Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5581062Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5581328Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5581674Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5582015Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5582325Z [2022-11-23 01:23:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5582570Z [2022-11-23 01:23:37,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5582804Z [2022-11-23 01:23:37,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5583054Z [2022-11-23 01:23:37,880] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5583302Z [2022-11-23 01:23:37,986] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5583479Z [2022-11-23 01:23:37,987] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5583613Z __compiled_fn_139 .1263 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5583702Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5583802Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5583898Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5583903Z 2022-11-23T01:30:35.5584227Z [2022-11-23 01:23:37,987] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5584320Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5584409Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5584481Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5584571Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5584656Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5584744Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5584818Z 12 RETURN_VALUE 2022-11-23T01:30:35.5584826Z 2022-11-23T01:30:35.5584887Z 2022-11-23T01:30:35.5585215Z [2022-11-23 01:23:37,987] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5585323Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_139) 2022-11-23T01:30:35.5585401Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5585489Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5585564Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5585655Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5585744Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5585820Z 12 RETURN_VALUE 2022-11-23T01:30:35.5585825Z 2022-11-23T01:30:35.5585883Z 2022-11-23T01:30:35.5586054Z [2022-11-23 01:23:37,988] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5586124Z - 2022-11-23T01:30:35.5586241Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5586336Z { 2022-11-23T01:30:35.5586478Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5586663Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5586780Z 'obj_weakref': None 2022-11-23T01:30:35.5586994Z 'guarded_class': 2022-11-23T01:30:35.5587056Z } 2022-11-23T01:30:35.5587119Z 2022-11-23T01:30:35.5587188Z - 2022-11-23T01:30:35.5587311Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5587373Z { 2022-11-23T01:30:35.5587519Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5587612Z 'code': None, 2022-11-23T01:30:35.5587845Z 'obj_weakref': 2022-11-23T01:30:35.5588129Z 'guarded_class': 2022-11-23T01:30:35.5588192Z } 2022-11-23T01:30:35.5588254Z 2022-11-23T01:30:35.5588323Z - 2022-11-23T01:30:35.5588442Z local 'model' NN_MODULE 2022-11-23T01:30:35.5588492Z { 2022-11-23T01:30:35.5588625Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5588791Z 'code': ['___check_obj_id(model, 140534431688896)'], 2022-11-23T01:30:35.5589009Z 'obj_weakref': 2022-11-23T01:30:35.5589241Z 'guarded_class': 2022-11-23T01:30:35.5589306Z } 2022-11-23T01:30:35.5589368Z 2022-11-23T01:30:35.5589424Z - 2022-11-23T01:30:35.5589545Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5589610Z { 2022-11-23T01:30:35.5589744Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5589961Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5590080Z 'obj_weakref': None 2022-11-23T01:30:35.5590302Z 'guarded_class': 2022-11-23T01:30:35.5590364Z } 2022-11-23T01:30:35.5590414Z 2022-11-23T01:30:35.5590483Z - 2022-11-23T01:30:35.5590627Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5590688Z { 2022-11-23T01:30:35.5590805Z 'guard_types': None, 2022-11-23T01:30:35.5590913Z 'code': None, 2022-11-23T01:30:35.5591017Z 'obj_weakref': None 2022-11-23T01:30:35.5591141Z 'guarded_class': None 2022-11-23T01:30:35.5591204Z } 2022-11-23T01:30:35.5591269Z 2022-11-23T01:30:35.5591338Z - 2022-11-23T01:30:35.5591483Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5591545Z { 2022-11-23T01:30:35.5591651Z 'guard_types': None, 2022-11-23T01:30:35.5591758Z 'code': None, 2022-11-23T01:30:35.5591878Z 'obj_weakref': None 2022-11-23T01:30:35.5591998Z 'guarded_class': None 2022-11-23T01:30:35.5592061Z } 2022-11-23T01:30:35.5592123Z 2022-11-23T01:30:35.5592381Z [2022-11-23 01:23:37,998] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138 2022-11-23T01:30:35.5592387Z 2022-11-23T01:30:35.5592468Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5592537Z import torch 2022-11-23T01:30:35.5592605Z import random 2022-11-23T01:30:35.5592719Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5592841Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5592848Z 2022-11-23T01:30:35.5592926Z aten = torch.ops.aten 2022-11-23T01:30:35.5593059Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5593169Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5593187Z 2022-11-23T01:30:35.5593192Z 2022-11-23T01:30:35.5593266Z async_compile.wait(globals()) 2022-11-23T01:30:35.5593337Z del async_compile 2022-11-23T01:30:35.5593342Z 2022-11-23T01:30:35.5593412Z def call(args): 2022-11-23T01:30:35.5593532Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5593603Z args.clear() 2022-11-23T01:30:35.5593745Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5593866Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5593921Z del arg0_1 2022-11-23T01:30:35.5593987Z del arg1_1 2022-11-23T01:30:35.5594052Z del arg7_1 2022-11-23T01:30:35.5594127Z return (buf0, ) 2022-11-23T01:30:35.5594161Z 2022-11-23T01:30:35.5594165Z 2022-11-23T01:30:35.5594243Z if __name__ == "__main__": 2022-11-23T01:30:35.5594356Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5594481Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5594699Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5594881Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5595073Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5595261Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5595446Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5595632Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5595810Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5596047Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5596205Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5596210Z 2022-11-23T01:30:35.5596215Z 2022-11-23T01:30:35.5596309Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5596365Z import torch 2022-11-23T01:30:35.5596435Z import random 2022-11-23T01:30:35.5596549Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5596669Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5596673Z 2022-11-23T01:30:35.5596751Z aten = torch.ops.aten 2022-11-23T01:30:35.5596888Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5596979Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5596984Z 2022-11-23T01:30:35.5596987Z 2022-11-23T01:30:35.5597108Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5597314Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5597435Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5597537Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5597599Z { 2022-11-23T01:30:35.5597699Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5597762Z { 2022-11-23T01:30:35.5597826Z #pragma omp for 2022-11-23T01:30:35.5597912Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5597974Z { 2022-11-23T01:30:35.5598053Z #pragma GCC ivdep 2022-11-23T01:30:35.5598143Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5598206Z { 2022-11-23T01:30:35.5598269Z { 2022-11-23T01:30:35.5598324Z { 2022-11-23T01:30:35.5598427Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5598524Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5598591Z } 2022-11-23T01:30:35.5598654Z } 2022-11-23T01:30:35.5598718Z } 2022-11-23T01:30:35.5598779Z } 2022-11-23T01:30:35.5598855Z } 2022-11-23T01:30:35.5598919Z } 2022-11-23T01:30:35.5599002Z ''') 2022-11-23T01:30:35.5599007Z 2022-11-23T01:30:35.5599011Z 2022-11-23T01:30:35.5599100Z async_compile.wait(globals()) 2022-11-23T01:30:35.5599170Z del async_compile 2022-11-23T01:30:35.5599175Z 2022-11-23T01:30:35.5599244Z def call(args): 2022-11-23T01:30:35.5599361Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5599420Z args.clear() 2022-11-23T01:30:35.5599655Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5599790Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5599857Z del arg7_1 2022-11-23T01:30:35.5600073Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5600232Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:30:35.5600304Z del arg0_1 2022-11-23T01:30:35.5600370Z del arg1_1 2022-11-23T01:30:35.5600428Z return (buf1, ) 2022-11-23T01:30:35.5600433Z 2022-11-23T01:30:35.5600437Z 2022-11-23T01:30:35.5600512Z if __name__ == "__main__": 2022-11-23T01:30:35.5600625Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5600749Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5600973Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5601170Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5601362Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5601551Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5601729Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5601914Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5602094Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5602326Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5602482Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5602487Z 2022-11-23T01:30:35.5602492Z 2022-11-23T01:30:35.5602589Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5602660Z import torch 2022-11-23T01:30:35.5602729Z import random 2022-11-23T01:30:35.5602830Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5602948Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5602953Z 2022-11-23T01:30:35.5603033Z aten = torch.ops.aten 2022-11-23T01:30:35.5603169Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5603259Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5603266Z 2022-11-23T01:30:35.5603270Z 2022-11-23T01:30:35.5603357Z async_compile.wait(globals()) 2022-11-23T01:30:35.5603428Z del async_compile 2022-11-23T01:30:35.5603433Z 2022-11-23T01:30:35.5603500Z def call(args): 2022-11-23T01:30:35.5603604Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5603674Z args.clear() 2022-11-23T01:30:35.5603812Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5603926Z assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5603993Z del arg0_1 2022-11-23T01:30:35.5604058Z del arg1_1 2022-11-23T01:30:35.5604123Z del arg7_1 2022-11-23T01:30:35.5604182Z return (buf0, ) 2022-11-23T01:30:35.5604203Z 2022-11-23T01:30:35.5604207Z 2022-11-23T01:30:35.5604270Z if __name__ == "__main__": 2022-11-23T01:30:35.5604383Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5604534Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5604900Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5605109Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5605299Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5605486Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5605671Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5605843Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5606019Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5606303Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5606460Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5606466Z 2022-11-23T01:30:35.5606470Z 2022-11-23T01:30:35.5606567Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5606638Z import torch 2022-11-23T01:30:35.5606708Z import random 2022-11-23T01:30:35.5606823Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5606929Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5606934Z 2022-11-23T01:30:35.5607010Z aten = torch.ops.aten 2022-11-23T01:30:35.5607142Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5607234Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5607238Z 2022-11-23T01:30:35.5607243Z 2022-11-23T01:30:35.5607375Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5607584Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5607701Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5607802Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5607851Z { 2022-11-23T01:30:35.5607947Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5608010Z { 2022-11-23T01:30:35.5608104Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5608184Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5608247Z { 2022-11-23T01:30:35.5608341Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5608393Z { 2022-11-23T01:30:35.5608455Z { 2022-11-23T01:30:35.5608521Z { 2022-11-23T01:30:35.5608622Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5608724Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5608790Z } 2022-11-23T01:30:35.5608845Z } 2022-11-23T01:30:35.5608907Z } 2022-11-23T01:30:35.5608968Z } 2022-11-23T01:30:35.5609029Z } 2022-11-23T01:30:35.5609090Z } 2022-11-23T01:30:35.5609171Z ''') 2022-11-23T01:30:35.5609175Z 2022-11-23T01:30:35.5609179Z 2022-11-23T01:30:35.5609269Z async_compile.wait(globals()) 2022-11-23T01:30:35.5609331Z del async_compile 2022-11-23T01:30:35.5609347Z 2022-11-23T01:30:35.5609403Z def call(args): 2022-11-23T01:30:35.5609520Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5609592Z args.clear() 2022-11-23T01:30:35.5609826Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5609957Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5610025Z del arg7_1 2022-11-23T01:30:35.5610164Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5610270Z assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5610335Z del arg0_1 2022-11-23T01:30:35.5610399Z del arg1_1 2022-11-23T01:30:35.5610505Z return (buf1, ) 2022-11-23T01:30:35.5610510Z 2022-11-23T01:30:35.5610514Z 2022-11-23T01:30:35.5610592Z if __name__ == "__main__": 2022-11-23T01:30:35.5610705Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5610827Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5611044Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5611224Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5611412Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5611595Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5611778Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5611996Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5612177Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5612404Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5612559Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5612564Z 2022-11-23T01:30:35.5612933Z [2022-11-23 01:23:38,003] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py 2022-11-23T01:30:35.5613185Z [2022-11-23 01:23:38,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138 2022-11-23T01:30:35.5613422Z [2022-11-23 01:23:38,614] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5613734Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5613954Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5614195Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5614464Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5614774Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5615107Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5615420Z [2022-11-23 01:23:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5615670Z [2022-11-23 01:23:38,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5615891Z [2022-11-23 01:23:38,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5616143Z [2022-11-23 01:23:38,631] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5616390Z [2022-11-23 01:23:38,745] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5616577Z [2022-11-23 01:23:38,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5616710Z __compiled_fn_140 .1274 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5616796Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5616895Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5616995Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5617000Z 2022-11-23T01:30:35.5617340Z [2022-11-23 01:23:38,746] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5617434Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5617523Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5617609Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5617700Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5617784Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5617871Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5617934Z 12 RETURN_VALUE 2022-11-23T01:30:35.5617951Z 2022-11-23T01:30:35.5617999Z 2022-11-23T01:30:35.5618324Z [2022-11-23 01:23:38,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5618477Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_140) 2022-11-23T01:30:35.5618568Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5618659Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5618734Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5618821Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5618898Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5618971Z 12 RETURN_VALUE 2022-11-23T01:30:35.5618977Z 2022-11-23T01:30:35.5619036Z 2022-11-23T01:30:35.5619217Z [2022-11-23 01:23:38,746] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5619288Z - 2022-11-23T01:30:35.5619404Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5619470Z { 2022-11-23T01:30:35.5619597Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5619780Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5619894Z 'obj_weakref': None 2022-11-23T01:30:35.5620125Z 'guarded_class': 2022-11-23T01:30:35.5620188Z } 2022-11-23T01:30:35.5620254Z 2022-11-23T01:30:35.5620323Z - 2022-11-23T01:30:35.5620446Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5620507Z { 2022-11-23T01:30:35.5620637Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5620742Z 'code': None, 2022-11-23T01:30:35.5620952Z 'obj_weakref': 2022-11-23T01:30:35.5621204Z 'guarded_class': 2022-11-23T01:30:35.5621266Z } 2022-11-23T01:30:35.5621328Z 2022-11-23T01:30:35.5621395Z - 2022-11-23T01:30:35.5621502Z local 'model' NN_MODULE 2022-11-23T01:30:35.5621607Z { 2022-11-23T01:30:35.5621742Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5621908Z 'code': ['___check_obj_id(model, 140534431688896)'], 2022-11-23T01:30:35.5622126Z 'obj_weakref': 2022-11-23T01:30:35.5622357Z 'guarded_class': 2022-11-23T01:30:35.5622421Z } 2022-11-23T01:30:35.5622470Z 2022-11-23T01:30:35.5622538Z - 2022-11-23T01:30:35.5622658Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5622719Z { 2022-11-23T01:30:35.5622855Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5623068Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5623184Z 'obj_weakref': None 2022-11-23T01:30:35.5623390Z 'guarded_class': 2022-11-23T01:30:35.5623458Z } 2022-11-23T01:30:35.5623520Z 2022-11-23T01:30:35.5623589Z - 2022-11-23T01:30:35.5623733Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5623823Z { 2022-11-23T01:30:35.5623944Z 'guard_types': None, 2022-11-23T01:30:35.5624037Z 'code': None, 2022-11-23T01:30:35.5624153Z 'obj_weakref': None 2022-11-23T01:30:35.5624272Z 'guarded_class': None 2022-11-23T01:30:35.5624334Z } 2022-11-23T01:30:35.5624395Z 2022-11-23T01:30:35.5624463Z - 2022-11-23T01:30:35.5624604Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5624653Z { 2022-11-23T01:30:35.5624770Z 'guard_types': None, 2022-11-23T01:30:35.5624874Z 'code': None, 2022-11-23T01:30:35.5624989Z 'obj_weakref': None 2022-11-23T01:30:35.5625108Z 'guarded_class': None 2022-11-23T01:30:35.5625200Z } 2022-11-23T01:30:35.5625249Z 2022-11-23T01:30:35.5625510Z [2022-11-23 01:23:38,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139 2022-11-23T01:30:35.5625876Z [2022-11-23 01:23:38,768] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6m/c6m7vgjhnbiovv75qpokuda2m5qv5dzmmwow6k5do5csgs2gsjnk.py 2022-11-23T01:30:35.5626139Z [2022-11-23 01:23:38,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139 2022-11-23T01:30:35.5626373Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5626682Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5626899Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5627140Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5627408Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5627717Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5628037Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5628348Z [2022-11-23 01:23:39,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5628593Z [2022-11-23 01:23:39,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5628824Z [2022-11-23 01:23:39,518] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5629079Z [2022-11-23 01:23:39,519] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5629327Z [2022-11-23 01:23:39,577] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5629516Z [2022-11-23 01:23:39,577] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5629648Z __compiled_fn_141 .1285 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5629735Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5629821Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5629918Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5629923Z 2022-11-23T01:30:35.5630246Z [2022-11-23 01:23:39,578] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5630339Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5630430Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5630516Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5630641Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5630727Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5630803Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5630877Z 12 RETURN_VALUE 2022-11-23T01:30:35.5630882Z 2022-11-23T01:30:35.5630942Z 2022-11-23T01:30:35.5631266Z [2022-11-23 01:23:39,578] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5631374Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_141) 2022-11-23T01:30:35.5631461Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5631550Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5631614Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5631700Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5631818Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5631891Z 12 RETURN_VALUE 2022-11-23T01:30:35.5631897Z 2022-11-23T01:30:35.5631960Z 2022-11-23T01:30:35.5632141Z [2022-11-23 01:23:39,579] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5632210Z - 2022-11-23T01:30:35.5632327Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5632377Z { 2022-11-23T01:30:35.5632517Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5632704Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5632824Z 'obj_weakref': None 2022-11-23T01:30:35.5633050Z 'guarded_class': 2022-11-23T01:30:35.5633113Z } 2022-11-23T01:30:35.5633175Z 2022-11-23T01:30:35.5633231Z - 2022-11-23T01:30:35.5633354Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5633420Z { 2022-11-23T01:30:35.5633564Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5633669Z 'code': None, 2022-11-23T01:30:35.5633883Z 'obj_weakref': 2022-11-23T01:30:35.5634134Z 'guarded_class': 2022-11-23T01:30:35.5634184Z } 2022-11-23T01:30:35.5634247Z 2022-11-23T01:30:35.5634319Z - 2022-11-23T01:30:35.5634439Z local 'model' NN_MODULE 2022-11-23T01:30:35.5634501Z { 2022-11-23T01:30:35.5634635Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5634801Z 'code': ['___check_obj_id(model, 140534623612608)'], 2022-11-23T01:30:35.5635007Z 'obj_weakref': 2022-11-23T01:30:35.5635238Z 'guarded_class': 2022-11-23T01:30:35.5635307Z } 2022-11-23T01:30:35.5635369Z 2022-11-23T01:30:35.5635439Z - 2022-11-23T01:30:35.5635562Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5635625Z { 2022-11-23T01:30:35.5635747Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5635965Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5636083Z 'obj_weakref': None 2022-11-23T01:30:35.5636302Z 'guarded_class': 2022-11-23T01:30:35.5636365Z } 2022-11-23T01:30:35.5636466Z 2022-11-23T01:30:35.5636534Z - 2022-11-23T01:30:35.5636666Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5636730Z { 2022-11-23T01:30:35.5636847Z 'guard_types': None, 2022-11-23T01:30:35.5636956Z 'code': None, 2022-11-23T01:30:35.5637071Z 'obj_weakref': None 2022-11-23T01:30:35.5637191Z 'guarded_class': None 2022-11-23T01:30:35.5637253Z } 2022-11-23T01:30:35.5637329Z 2022-11-23T01:30:35.5637398Z - 2022-11-23T01:30:35.5637544Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5637606Z { 2022-11-23T01:30:35.5637723Z 'guard_types': None, 2022-11-23T01:30:35.5637828Z 'code': None, 2022-11-23T01:30:35.5637930Z 'obj_weakref': None 2022-11-23T01:30:35.5638050Z 'guarded_class': None 2022-11-23T01:30:35.5638112Z } 2022-11-23T01:30:35.5638174Z 2022-11-23T01:30:35.5638434Z [2022-11-23 01:23:39,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140 2022-11-23T01:30:35.5638793Z [2022-11-23 01:23:39,604] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py 2022-11-23T01:30:35.5639092Z [2022-11-23 01:23:39,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140 2022-11-23T01:30:35.5639330Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5639634Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5639850Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5640166Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5640444Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5640756Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5641098Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5641422Z [2022-11-23 01:23:40,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5641667Z [2022-11-23 01:23:40,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5641898Z [2022-11-23 01:23:40,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5642152Z [2022-11-23 01:23:40,026] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5642383Z [2022-11-23 01:23:40,083] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5642572Z [2022-11-23 01:23:40,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5642706Z __compiled_fn_142 .1296 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5642798Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5642921Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5643019Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5643024Z 2022-11-23T01:30:35.5643347Z [2022-11-23 01:23:40,084] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5643442Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5643518Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5643603Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5643693Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5643778Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5643867Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5643945Z 12 RETURN_VALUE 2022-11-23T01:30:35.5643950Z 2022-11-23T01:30:35.5644011Z 2022-11-23T01:30:35.5644367Z [2022-11-23 01:23:40,084] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5644464Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_142) 2022-11-23T01:30:35.5644555Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5644645Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5644722Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5644952Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5645044Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5645119Z 12 RETURN_VALUE 2022-11-23T01:30:35.5645124Z 2022-11-23T01:30:35.5645172Z 2022-11-23T01:30:35.5645358Z [2022-11-23 01:23:40,085] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5645484Z - 2022-11-23T01:30:35.5645602Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5645665Z { 2022-11-23T01:30:35.5645805Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5645991Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5646097Z 'obj_weakref': None 2022-11-23T01:30:35.5646321Z 'guarded_class': 2022-11-23T01:30:35.5646388Z } 2022-11-23T01:30:35.5646450Z 2022-11-23T01:30:35.5646520Z - 2022-11-23T01:30:35.5646642Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5646705Z { 2022-11-23T01:30:35.5646832Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5646939Z 'code': None, 2022-11-23T01:30:35.5647148Z 'obj_weakref': 2022-11-23T01:30:35.5647397Z 'guarded_class': 2022-11-23T01:30:35.5647464Z } 2022-11-23T01:30:35.5647527Z 2022-11-23T01:30:35.5647599Z - 2022-11-23T01:30:35.5647705Z local 'model' NN_MODULE 2022-11-23T01:30:35.5647768Z { 2022-11-23T01:30:35.5647901Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5648070Z 'code': ['___check_obj_id(model, 140534623612608)'], 2022-11-23T01:30:35.5648290Z 'obj_weakref': 2022-11-23T01:30:35.5648522Z 'guarded_class': 2022-11-23T01:30:35.5648584Z } 2022-11-23T01:30:35.5648645Z 2022-11-23T01:30:35.5648700Z - 2022-11-23T01:30:35.5648821Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5648881Z { 2022-11-23T01:30:35.5649015Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5649232Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5649350Z 'obj_weakref': None 2022-11-23T01:30:35.5649569Z 'guarded_class': 2022-11-23T01:30:35.5649619Z } 2022-11-23T01:30:35.5649680Z 2022-11-23T01:30:35.5649749Z - 2022-11-23T01:30:35.5649892Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5649954Z { 2022-11-23T01:30:35.5650073Z 'guard_types': None, 2022-11-23T01:30:35.5650165Z 'code': None, 2022-11-23T01:30:35.5650282Z 'obj_weakref': None 2022-11-23T01:30:35.5650401Z 'guarded_class': None 2022-11-23T01:30:35.5650464Z } 2022-11-23T01:30:35.5650525Z 2022-11-23T01:30:35.5650592Z - 2022-11-23T01:30:35.5650734Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5650786Z { 2022-11-23T01:30:35.5650903Z 'guard_types': None, 2022-11-23T01:30:35.5651007Z 'code': None, 2022-11-23T01:30:35.5651160Z 'obj_weakref': None 2022-11-23T01:30:35.5651281Z 'guarded_class': None 2022-11-23T01:30:35.5651343Z } 2022-11-23T01:30:35.5651404Z 2022-11-23T01:30:35.5651650Z [2022-11-23 01:23:40,095] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141 2022-11-23T01:30:35.5652015Z [2022-11-23 01:23:40,105] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnud3cwsrwiz22pnsyne5bl5wcerpg5jihj6eys6jyzjb57n3c7c.py 2022-11-23T01:30:35.5652279Z [2022-11-23 01:23:40,105] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141 2022-11-23T01:30:35.5652513Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5652861Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5653077Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5653318Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5653584Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5653893Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5654215Z [2022-11-23 01:23:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5654525Z [2022-11-23 01:23:40,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5654775Z [2022-11-23 01:23:40,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5655006Z [2022-11-23 01:23:40,438] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5655256Z [2022-11-23 01:23:40,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5655504Z [2022-11-23 01:23:40,549] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5655689Z [2022-11-23 01:23:40,550] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5655821Z __compiled_fn_143 .1307 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5655909Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5655996Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5656094Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5656101Z 2022-11-23T01:30:35.5656424Z [2022-11-23 01:23:40,550] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5656515Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5656604Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5656690Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5656779Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5656862Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5656937Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5657012Z 12 RETURN_VALUE 2022-11-23T01:30:35.5657018Z 2022-11-23T01:30:35.5657078Z 2022-11-23T01:30:35.5657404Z [2022-11-23 01:23:40,550] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5657513Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_143) 2022-11-23T01:30:35.5657603Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5657717Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5657794Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5657868Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5657957Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5658031Z 12 RETURN_VALUE 2022-11-23T01:30:35.5658035Z 2022-11-23T01:30:35.5658097Z 2022-11-23T01:30:35.5658277Z [2022-11-23 01:23:40,551] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5658346Z - 2022-11-23T01:30:35.5658462Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5658513Z { 2022-11-23T01:30:35.5658652Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5658836Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5658954Z 'obj_weakref': None 2022-11-23T01:30:35.5659208Z 'guarded_class': 2022-11-23T01:30:35.5659270Z } 2022-11-23T01:30:35.5659334Z 2022-11-23T01:30:35.5659391Z - 2022-11-23T01:30:35.5659512Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5659574Z { 2022-11-23T01:30:35.5659716Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5659820Z 'code': None, 2022-11-23T01:30:35.5660031Z 'obj_weakref': 2022-11-23T01:30:35.5660281Z 'guarded_class': 2022-11-23T01:30:35.5660330Z } 2022-11-23T01:30:35.5660394Z 2022-11-23T01:30:35.5660462Z - 2022-11-23T01:30:35.5660581Z local 'model' NN_MODULE 2022-11-23T01:30:35.5660642Z { 2022-11-23T01:30:35.5660778Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5660942Z 'code': ['___check_obj_id(model, 140534432391584)'], 2022-11-23T01:30:35.5661150Z 'obj_weakref': 2022-11-23T01:30:35.5661382Z 'guarded_class': 2022-11-23T01:30:35.5661445Z } 2022-11-23T01:30:35.5661506Z 2022-11-23T01:30:35.5661573Z - 2022-11-23T01:30:35.5661693Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5661755Z { 2022-11-23T01:30:35.5661876Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5662090Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5662206Z 'obj_weakref': None 2022-11-23T01:30:35.5662426Z 'guarded_class': 2022-11-23T01:30:35.5662490Z } 2022-11-23T01:30:35.5662551Z 2022-11-23T01:30:35.5662619Z - 2022-11-23T01:30:35.5662750Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5662816Z { 2022-11-23T01:30:35.5662934Z 'guard_types': None, 2022-11-23T01:30:35.5663039Z 'code': None, 2022-11-23T01:30:35.5663154Z 'obj_weakref': None 2022-11-23T01:30:35.5663273Z 'guarded_class': None 2022-11-23T01:30:35.5663334Z } 2022-11-23T01:30:35.5663384Z 2022-11-23T01:30:35.5663451Z - 2022-11-23T01:30:35.5663596Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5663674Z { 2022-11-23T01:30:35.5663791Z 'guard_types': None, 2022-11-23T01:30:35.5663895Z 'code': None, 2022-11-23T01:30:35.5663998Z 'obj_weakref': None 2022-11-23T01:30:35.5664115Z 'guarded_class': None 2022-11-23T01:30:35.5664179Z } 2022-11-23T01:30:35.5664240Z 2022-11-23T01:30:35.5664502Z [2022-11-23 01:23:40,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142 2022-11-23T01:30:35.5664534Z 2022-11-23T01:30:35.5664629Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5664697Z import torch 2022-11-23T01:30:35.5664765Z import random 2022-11-23T01:30:35.5664867Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5664985Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5664990Z 2022-11-23T01:30:35.5665067Z aten = torch.ops.aten 2022-11-23T01:30:35.5665198Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5665288Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5665293Z 2022-11-23T01:30:35.5665297Z 2022-11-23T01:30:35.5665383Z async_compile.wait(globals()) 2022-11-23T01:30:35.5665453Z del async_compile 2022-11-23T01:30:35.5665458Z 2022-11-23T01:30:35.5665527Z def call(args): 2022-11-23T01:30:35.5665681Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5665753Z args.clear() 2022-11-23T01:30:35.5665897Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5666015Z assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5666082Z del arg0_1 2022-11-23T01:30:35.5666147Z del arg1_1 2022-11-23T01:30:35.5666211Z del arg7_1 2022-11-23T01:30:35.5666269Z return (buf0, ) 2022-11-23T01:30:35.5666274Z 2022-11-23T01:30:35.5666278Z 2022-11-23T01:30:35.5666353Z if __name__ == "__main__": 2022-11-23T01:30:35.5666467Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5666589Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5666811Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5667007Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5667202Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5667391Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5667563Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5667747Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5667925Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5668159Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5668312Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5668317Z 2022-11-23T01:30:35.5668322Z 2022-11-23T01:30:35.5668415Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5668482Z import torch 2022-11-23T01:30:35.5668553Z import random 2022-11-23T01:30:35.5668655Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5668773Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5668780Z 2022-11-23T01:30:35.5668857Z aten = torch.ops.aten 2022-11-23T01:30:35.5668989Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5669081Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5669085Z 2022-11-23T01:30:35.5669089Z 2022-11-23T01:30:35.5669221Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5669428Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5669544Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5669630Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5669690Z { 2022-11-23T01:30:35.5669787Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5669848Z { 2022-11-23T01:30:35.5669927Z #pragma omp for 2022-11-23T01:30:35.5670007Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5670069Z { 2022-11-23T01:30:35.5670136Z #pragma GCC ivdep 2022-11-23T01:30:35.5670253Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5670318Z { 2022-11-23T01:30:35.5670381Z { 2022-11-23T01:30:35.5670463Z { 2022-11-23T01:30:35.5670565Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5670661Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5670714Z } 2022-11-23T01:30:35.5670777Z } 2022-11-23T01:30:35.5670840Z } 2022-11-23T01:30:35.5670901Z } 2022-11-23T01:30:35.5670962Z } 2022-11-23T01:30:35.5671022Z } 2022-11-23T01:30:35.5671088Z ''') 2022-11-23T01:30:35.5671105Z 2022-11-23T01:30:35.5671109Z 2022-11-23T01:30:35.5671184Z async_compile.wait(globals()) 2022-11-23T01:30:35.5671256Z del async_compile 2022-11-23T01:30:35.5671288Z 2022-11-23T01:30:35.5671361Z def call(args): 2022-11-23T01:30:35.5671478Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5671551Z args.clear() 2022-11-23T01:30:35.5671789Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5671923Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5671979Z del arg7_1 2022-11-23T01:30:35.5672119Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5672234Z assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:30:35.5672301Z del arg0_1 2022-11-23T01:30:35.5672370Z del arg1_1 2022-11-23T01:30:35.5672440Z return (buf1, ) 2022-11-23T01:30:35.5672446Z 2022-11-23T01:30:35.5672449Z 2022-11-23T01:30:35.5672524Z if __name__ == "__main__": 2022-11-23T01:30:35.5672640Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5672749Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5672969Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5673159Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5673350Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5673538Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5673723Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5673907Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5674086Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5674306Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5674463Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5674468Z 2022-11-23T01:30:35.5674474Z 2022-11-23T01:30:35.5674569Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5674640Z import torch 2022-11-23T01:30:35.5674711Z import random 2022-11-23T01:30:35.5674825Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5674945Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5674950Z 2022-11-23T01:30:35.5675028Z aten = torch.ops.aten 2022-11-23T01:30:35.5675149Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5675242Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5675246Z 2022-11-23T01:30:35.5675250Z 2022-11-23T01:30:35.5675338Z async_compile.wait(globals()) 2022-11-23T01:30:35.5675411Z del async_compile 2022-11-23T01:30:35.5675416Z 2022-11-23T01:30:35.5675487Z def call(args): 2022-11-23T01:30:35.5675607Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5675678Z args.clear() 2022-11-23T01:30:35.5675846Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5675949Z assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5676019Z del arg0_1 2022-11-23T01:30:35.5676085Z del arg1_1 2022-11-23T01:30:35.5676152Z del arg7_1 2022-11-23T01:30:35.5676223Z return (buf0, ) 2022-11-23T01:30:35.5676228Z 2022-11-23T01:30:35.5676232Z 2022-11-23T01:30:35.5676308Z if __name__ == "__main__": 2022-11-23T01:30:35.5676421Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5676542Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5676747Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5676939Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5677159Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5677350Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5677537Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5677722Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5677899Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5678130Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5678272Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5678277Z 2022-11-23T01:30:35.5678296Z 2022-11-23T01:30:35.5678376Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5678445Z import torch 2022-11-23T01:30:35.5678516Z import random 2022-11-23T01:30:35.5678631Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5678751Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5678756Z 2022-11-23T01:30:35.5678834Z aten = torch.ops.aten 2022-11-23T01:30:35.5678967Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5679045Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5679050Z 2022-11-23T01:30:35.5679055Z 2022-11-23T01:30:35.5679187Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5679390Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5679506Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5679606Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5679668Z { 2022-11-23T01:30:35.5679765Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5679815Z { 2022-11-23T01:30:35.5679905Z #pragma omp for collapse(2) 2022-11-23T01:30:35.5680058Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.5680125Z { 2022-11-23T01:30:35.5680217Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5680283Z { 2022-11-23T01:30:35.5680347Z { 2022-11-23T01:30:35.5680399Z { 2022-11-23T01:30:35.5680503Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:30:35.5680601Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5680667Z } 2022-11-23T01:30:35.5680730Z } 2022-11-23T01:30:35.5680792Z } 2022-11-23T01:30:35.5680854Z } 2022-11-23T01:30:35.5680902Z } 2022-11-23T01:30:35.5680963Z } 2022-11-23T01:30:35.5681048Z ''') 2022-11-23T01:30:35.5681054Z 2022-11-23T01:30:35.5681058Z 2022-11-23T01:30:35.5681147Z async_compile.wait(globals()) 2022-11-23T01:30:35.5681218Z del async_compile 2022-11-23T01:30:35.5681223Z 2022-11-23T01:30:35.5681291Z def call(args): 2022-11-23T01:30:35.5681410Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5681469Z args.clear() 2022-11-23T01:30:35.5681736Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5681868Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5681936Z del arg7_1 2022-11-23T01:30:35.5682076Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:30:35.5682190Z assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5682258Z del arg0_1 2022-11-23T01:30:35.5682323Z del arg1_1 2022-11-23T01:30:35.5682381Z return (buf1, ) 2022-11-23T01:30:35.5682386Z 2022-11-23T01:30:35.5682389Z 2022-11-23T01:30:35.5682463Z if __name__ == "__main__": 2022-11-23T01:30:35.5682576Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5682730Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5682948Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5683139Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5683327Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5683511Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5683681Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5683868Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5684043Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5684266Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5684421Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5684428Z 2022-11-23T01:30:35.5684928Z [2022-11-23 01:23:40,566] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py 2022-11-23T01:30:35.5685204Z [2022-11-23 01:23:40,566] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142 2022-11-23T01:30:35.5685441Z [2022-11-23 01:23:41,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5685754Z [2022-11-23 01:23:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5685958Z [2022-11-23 01:23:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5686201Z [2022-11-23 01:23:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5686468Z [2022-11-23 01:23:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5686781Z [2022-11-23 01:23:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5687116Z [2022-11-23 01:23:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5687427Z [2022-11-23 01:23:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5687674Z [2022-11-23 01:23:41,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.5687906Z [2022-11-23 01:23:41,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5688157Z [2022-11-23 01:23:41,180] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5688405Z [2022-11-23 01:23:41,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5688633Z [2022-11-23 01:23:41,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5688769Z __compiled_fn_144 .1318 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5688856Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5688957Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5689054Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.5689060Z 2022-11-23T01:30:35.5689383Z [2022-11-23 01:23:41,296] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5689476Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5689565Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5689638Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5689767Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5689852Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5689942Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5690018Z 12 RETURN_VALUE 2022-11-23T01:30:35.5690023Z 2022-11-23T01:30:35.5690084Z 2022-11-23T01:30:35.5690410Z [2022-11-23 01:23:41,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5690516Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_144) 2022-11-23T01:30:35.5690593Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5690682Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5690757Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5690842Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5690931Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.5691006Z 12 RETURN_VALUE 2022-11-23T01:30:35.5691011Z 2022-11-23T01:30:35.5691071Z 2022-11-23T01:30:35.5691241Z [2022-11-23 01:23:41,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5691314Z - 2022-11-23T01:30:35.5691431Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5691495Z { 2022-11-23T01:30:35.5691635Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5691819Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5691937Z 'obj_weakref': None 2022-11-23T01:30:35.5692147Z 'guarded_class': 2022-11-23T01:30:35.5692212Z } 2022-11-23T01:30:35.5692273Z 2022-11-23T01:30:35.5692344Z - 2022-11-23T01:30:35.5692465Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5692528Z { 2022-11-23T01:30:35.5692668Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5692765Z 'code': None, 2022-11-23T01:30:35.5692975Z 'obj_weakref': 2022-11-23T01:30:35.5693230Z 'guarded_class': 2022-11-23T01:30:35.5693292Z } 2022-11-23T01:30:35.5693355Z 2022-11-23T01:30:35.5693423Z - 2022-11-23T01:30:35.5693541Z local 'model' NN_MODULE 2022-11-23T01:30:35.5693591Z { 2022-11-23T01:30:35.5693724Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5693891Z 'code': ['___check_obj_id(model, 140534432391584)'], 2022-11-23T01:30:35.5694109Z 'obj_weakref': 2022-11-23T01:30:35.5694339Z 'guarded_class': 2022-11-23T01:30:35.5694402Z } 2022-11-23T01:30:35.5694467Z 2022-11-23T01:30:35.5694524Z - 2022-11-23T01:30:35.5694644Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5694707Z { 2022-11-23T01:30:35.5694903Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5695120Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5695236Z 'obj_weakref': None 2022-11-23T01:30:35.5695455Z 'guarded_class': 2022-11-23T01:30:35.5695506Z } 2022-11-23T01:30:35.5695567Z 2022-11-23T01:30:35.5695636Z - 2022-11-23T01:30:35.5695780Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5695843Z { 2022-11-23T01:30:35.5695962Z 'guard_types': None, 2022-11-23T01:30:35.5696068Z 'code': None, 2022-11-23T01:30:35.5696170Z 'obj_weakref': None 2022-11-23T01:30:35.5696320Z 'guarded_class': None 2022-11-23T01:30:35.5696383Z } 2022-11-23T01:30:35.5696445Z 2022-11-23T01:30:35.5696514Z - 2022-11-23T01:30:35.5696660Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5696722Z { 2022-11-23T01:30:35.5696828Z 'guard_types': None, 2022-11-23T01:30:35.5696932Z 'code': None, 2022-11-23T01:30:35.5697049Z 'obj_weakref': None 2022-11-23T01:30:35.5697167Z 'guarded_class': None 2022-11-23T01:30:35.5697231Z } 2022-11-23T01:30:35.5697293Z 2022-11-23T01:30:35.5697551Z [2022-11-23 01:23:41,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143 2022-11-23T01:30:35.5697908Z [2022-11-23 01:23:41,337] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2kopbznstlhm5vamkjzvmtgx6acqincsttr7s3pslkjgm5kefp.py 2022-11-23T01:30:35.5698171Z [2022-11-23 01:23:41,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143 2022-11-23T01:30:35.5698179Z 2022-11-23T01:30:35.5698271Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5698342Z import torch 2022-11-23T01:30:35.5698410Z import random 2022-11-23T01:30:35.5698523Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5698644Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5698649Z 2022-11-23T01:30:35.5698725Z aten = torch.ops.aten 2022-11-23T01:30:35.5698844Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5698935Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5698940Z 2022-11-23T01:30:35.5698944Z 2022-11-23T01:30:35.5699030Z async_compile.wait(globals()) 2022-11-23T01:30:35.5699105Z del async_compile 2022-11-23T01:30:35.5699110Z 2022-11-23T01:30:35.5699179Z def call(args): 2022-11-23T01:30:35.5699296Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5699369Z args.clear() 2022-11-23T01:30:35.5699508Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5699615Z assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5699683Z del arg0_1 2022-11-23T01:30:35.5699747Z del arg1_1 2022-11-23T01:30:35.5699812Z del arg7_1 2022-11-23T01:30:35.5699883Z return (buf0, ) 2022-11-23T01:30:35.5699887Z 2022-11-23T01:30:35.5699891Z 2022-11-23T01:30:35.5699965Z if __name__ == "__main__": 2022-11-23T01:30:35.5700078Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5700188Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5700409Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5700601Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5700792Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5700981Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5701199Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5701383Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5701561Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5701782Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5701937Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5701942Z 2022-11-23T01:30:35.5701947Z 2022-11-23T01:30:35.5702039Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5702108Z import torch 2022-11-23T01:30:35.5702177Z import random 2022-11-23T01:30:35.5702290Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5702435Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5702440Z 2022-11-23T01:30:35.5702517Z aten = torch.ops.aten 2022-11-23T01:30:35.5702637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5702784Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5702789Z 2022-11-23T01:30:35.5702793Z 2022-11-23T01:30:35.5702926Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5703130Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5703245Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5703345Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.5703406Z { 2022-11-23T01:30:35.5703503Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5703552Z { 2022-11-23T01:30:35.5703628Z #pragma omp for 2022-11-23T01:30:35.5703708Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.5703770Z { 2022-11-23T01:30:35.5703849Z #pragma GCC ivdep 2022-11-23T01:30:35.5703938Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:30:35.5704001Z { 2022-11-23T01:30:35.5704055Z { 2022-11-23T01:30:35.5704120Z { 2022-11-23T01:30:35.5704222Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:30:35.5704319Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:30:35.5704386Z } 2022-11-23T01:30:35.5704449Z } 2022-11-23T01:30:35.5704510Z } 2022-11-23T01:30:35.5704558Z } 2022-11-23T01:30:35.5704617Z } 2022-11-23T01:30:35.5704676Z } 2022-11-23T01:30:35.5704754Z ''') 2022-11-23T01:30:35.5704759Z 2022-11-23T01:30:35.5704763Z 2022-11-23T01:30:35.5704851Z async_compile.wait(globals()) 2022-11-23T01:30:35.5704921Z del async_compile 2022-11-23T01:30:35.5704926Z 2022-11-23T01:30:35.5704994Z def call(args): 2022-11-23T01:30:35.5705102Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:30:35.5705175Z args.clear() 2022-11-23T01:30:35.5705412Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5705546Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.5705611Z del arg7_1 2022-11-23T01:30:35.5705752Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:30:35.5705867Z assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:30:35.5705922Z del arg0_1 2022-11-23T01:30:35.5705988Z del arg1_1 2022-11-23T01:30:35.5706058Z return (buf1, ) 2022-11-23T01:30:35.5706062Z 2022-11-23T01:30:35.5706066Z 2022-11-23T01:30:35.5706143Z if __name__ == "__main__": 2022-11-23T01:30:35.5706255Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5706377Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5706597Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5706816Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5706998Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5707184Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5707368Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5707552Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5707732Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5707962Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5708117Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:30:35.5708160Z 2022-11-23T01:30:35.5708227Z ok (24.022s) 2022-11-23T01:30:35.5708541Z test_convolution1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5708841Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5709059Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5709299Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.5709568Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.5709877Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5710214Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5710524Z [2022-11-23 01:23:41,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5710903Z [2022-11-23 01:23:41,868] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5710994Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.5711083Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.5711146Z 4 RETURN_VALUE 2022-11-23T01:30:35.5711207Z 2022-11-23T01:30:35.5711211Z 2022-11-23T01:30:35.5711525Z [2022-11-23 01:23:41,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.5711738Z [2022-11-23 01:23:41,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.5711982Z [2022-11-23 01:23:41,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.5712228Z [2022-11-23 01:23:41,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5712617Z [2022-11-23 01:23:41,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5712860Z [2022-11-23 01:23:41,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5713090Z [2022-11-23 01:23:41,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5713329Z [2022-11-23 01:23:41,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5713581Z [2022-11-23 01:23:41,877] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5713799Z [2022-11-23 01:23:41,878] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5713934Z __compiled_fn_145 .1324 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5714026Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5714127Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.5714229Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.5714327Z output, output, output, ((model_1,),), {} 2022-11-23T01:30:35.5714332Z 2022-11-23T01:30:35.5714643Z [2022-11-23 01:23:41,878] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5714738Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5714828Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5714943Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5715035Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5715122Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5715211Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5715272Z 12 RETURN_VALUE 2022-11-23T01:30:35.5715290Z 2022-11-23T01:30:35.5715338Z 2022-11-23T01:30:35.5715659Z [2022-11-23 01:23:41,878] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5715769Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_145) 2022-11-23T01:30:35.5715861Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5715950Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5716026Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5716114Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5716206Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5716306Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5716397Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5716473Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.5716559Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.5716633Z 20 RETURN_VALUE 2022-11-23T01:30:35.5716638Z 2022-11-23T01:30:35.5716698Z 2022-11-23T01:30:35.5716866Z [2022-11-23 01:23:41,879] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5716938Z - 2022-11-23T01:30:35.5717056Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5717122Z { 2022-11-23T01:30:35.5717264Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5717448Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5717567Z 'obj_weakref': None 2022-11-23T01:30:35.5717779Z 'guarded_class': 2022-11-23T01:30:35.5717846Z } 2022-11-23T01:30:35.5717908Z 2022-11-23T01:30:35.5717979Z - 2022-11-23T01:30:35.5718103Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5718166Z { 2022-11-23T01:30:35.5718308Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5718401Z 'code': None, 2022-11-23T01:30:35.5718614Z 'obj_weakref': 2022-11-23T01:30:35.5718866Z 'guarded_class': 2022-11-23T01:30:35.5718929Z } 2022-11-23T01:30:35.5718993Z 2022-11-23T01:30:35.5719062Z - 2022-11-23T01:30:35.5719180Z local 'model' NN_MODULE 2022-11-23T01:30:35.5719230Z { 2022-11-23T01:30:35.5719364Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5719535Z 'code': ['___check_obj_id(model, 140534622366176)'], 2022-11-23T01:30:35.5719753Z 'obj_weakref': 2022-11-23T01:30:35.5720098Z 'guarded_class': 2022-11-23T01:30:35.5720167Z } 2022-11-23T01:30:35.5720229Z 2022-11-23T01:30:35.5720290Z - 2022-11-23T01:30:35.5720411Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5720474Z { 2022-11-23T01:30:35.5720608Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5720823Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5720940Z 'obj_weakref': None 2022-11-23T01:30:35.5721161Z 'guarded_class': 2022-11-23T01:30:35.5721224Z } 2022-11-23T01:30:35.5721304Z 2022-11-23T01:30:35.5721373Z - 2022-11-23T01:30:35.5721519Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.5721583Z { 2022-11-23T01:30:35.5721704Z 'guard_types': None, 2022-11-23T01:30:35.5721810Z 'code': None, 2022-11-23T01:30:35.5721913Z 'obj_weakref': None 2022-11-23T01:30:35.5722032Z 'guarded_class': None 2022-11-23T01:30:35.5722095Z } 2022-11-23T01:30:35.5722157Z 2022-11-23T01:30:35.5722224Z - 2022-11-23T01:30:35.5722366Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.5722427Z { 2022-11-23T01:30:35.5722532Z 'guard_types': None, 2022-11-23T01:30:35.5722637Z 'code': None, 2022-11-23T01:30:35.5722752Z 'obj_weakref': None 2022-11-23T01:30:35.5722871Z 'guarded_class': None 2022-11-23T01:30:35.5722935Z } 2022-11-23T01:30:35.5722996Z 2022-11-23T01:30:35.5723068Z - 2022-11-23T01:30:35.5723197Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:30:35.5723259Z { 2022-11-23T01:30:35.5723377Z 'guard_types': None, 2022-11-23T01:30:35.5723481Z 'code': None, 2022-11-23T01:30:35.5723595Z 'obj_weakref': None 2022-11-23T01:30:35.5723714Z 'guarded_class': None 2022-11-23T01:30:35.5723763Z } 2022-11-23T01:30:35.5723825Z 2022-11-23T01:30:35.5724085Z [2022-11-23 01:23:41,906] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144 2022-11-23T01:30:35.5724449Z [2022-11-23 01:23:43,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6w4hfwr5hznuqo27x5c7nzacoetpmxdnua34kc7xtmwnz3pa3q.py 2022-11-23T01:30:35.5724710Z [2022-11-23 01:23:43,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144 2022-11-23T01:30:35.5724715Z 2022-11-23T01:30:35.5724923Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5724996Z import torch 2022-11-23T01:30:35.5725065Z import random 2022-11-23T01:30:35.5725166Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5725289Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5725294Z 2022-11-23T01:30:35.5725372Z aten = torch.ops.aten 2022-11-23T01:30:35.5725505Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5725596Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5725601Z 2022-11-23T01:30:35.5725605Z 2022-11-23T01:30:35.5725739Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5725941Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5726057Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.5726154Z bool* __restrict__ out_ptr0) 2022-11-23T01:30:35.5726203Z { 2022-11-23T01:30:35.5726300Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5726364Z { 2022-11-23T01:30:35.5726439Z #pragma omp for 2022-11-23T01:30:35.5726522Z for(long i0=0; i0<2352; i0+=1) 2022-11-23T01:30:35.5726583Z { 2022-11-23T01:30:35.5726679Z { 2022-11-23T01:30:35.5726745Z { 2022-11-23T01:30:35.5726841Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.5726933Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:35.5727037Z auto tmp2 = static_cast(0); 2022-11-23T01:30:35.5727129Z auto tmp3 = tmp1 <= tmp2; 2022-11-23T01:30:35.5727219Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.5727290Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.5727355Z } 2022-11-23T01:30:35.5727417Z } 2022-11-23T01:30:35.5727478Z } 2022-11-23T01:30:35.5727538Z } 2022-11-23T01:30:35.5727598Z } 2022-11-23T01:30:35.5727678Z ''') 2022-11-23T01:30:35.5727682Z 2022-11-23T01:30:35.5727720Z 2022-11-23T01:30:35.5727797Z async_compile.wait(globals()) 2022-11-23T01:30:35.5727869Z del async_compile 2022-11-23T01:30:35.5727874Z 2022-11-23T01:30:35.5727944Z def call(args): 2022-11-23T01:30:35.5728047Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.5728117Z args.clear() 2022-11-23T01:30:35.5728268Z buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:30:35.5728374Z assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)) 2022-11-23T01:30:35.5728433Z del primals_2 2022-11-23T01:30:35.5728552Z buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0 # reuse 2022-11-23T01:30:35.5728762Z buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.5728893Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.5728997Z return (buf1, primals_1, primals_3, buf2, ) 2022-11-23T01:30:35.5729004Z 2022-11-23T01:30:35.5729008Z 2022-11-23T01:30:35.5729082Z if __name__ == "__main__": 2022-11-23T01:30:35.5729194Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5729316Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5729529Z primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5729713Z primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5729930Z primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5730065Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.5730071Z 2022-11-23T01:30:35.5730136Z ok (1.590s) 2022-11-23T01:30:35.5730450Z test_convolution2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:43,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5730764Z [2022-11-23 01:23:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5730982Z [2022-11-23 01:23:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5731234Z [2022-11-23 01:23:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5731508Z [2022-11-23 01:23:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5731817Z [2022-11-23 01:23:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5732164Z [2022-11-23 01:23:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5732482Z [2022-11-23 01:23:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5732891Z [2022-11-23 01:23:43,453] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5732989Z 1827 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5733091Z 2 LOAD_METHOD 1 (convolution) 2022-11-23T01:30:35.5733180Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.5733267Z 6 LOAD_FAST 1 (w) 2022-11-23T01:30:35.5733353Z 8 LOAD_FAST 2 (b) 2022-11-23T01:30:35.5733427Z 10 LOAD_CONST 1 (4) 2022-11-23T01:30:35.5733513Z 12 BUILD_LIST 1 2022-11-23T01:30:35.5733600Z 14 LOAD_CONST 2 (0) 2022-11-23T01:30:35.5733684Z 16 BUILD_LIST 1 2022-11-23T01:30:35.5733769Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:35.5733892Z 20 BUILD_LIST 1 2022-11-23T01:30:35.5733982Z 22 LOAD_CONST 4 (True) 2022-11-23T01:30:35.5734057Z 24 LOAD_CONST 2 (0) 2022-11-23T01:30:35.5734142Z 26 BUILD_LIST 1 2022-11-23T01:30:35.5734227Z 28 LOAD_CONST 3 (1) 2022-11-23T01:30:35.5734310Z 30 CALL_METHOD 9 2022-11-23T01:30:35.5734395Z 32 BUILD_TUPLE 1 2022-11-23T01:30:35.5734470Z 34 RETURN_VALUE 2022-11-23T01:30:35.5734530Z 2022-11-23T01:30:35.5734535Z 2022-11-23T01:30:35.5734836Z [2022-11-23 01:23:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1827 2022-11-23T01:30:35.5735053Z [2022-11-23 01:23:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5735368Z [2022-11-23 01:23:43,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable()] 2022-11-23T01:30:35.5735634Z [2022-11-23 01:23:43,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)] 2022-11-23T01:30:35.5735925Z [2022-11-23 01:23:43,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()] 2022-11-23T01:30:35.5736240Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5736584Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5736965Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5737335Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.5737743Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5738137Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.5738571Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5739026Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:35.5739474Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.5739972Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:30:35.5740455Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:30:35.5741019Z [2022-11-23 01:23:43,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5741259Z [2022-11-23 01:23:43,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.5741504Z [2022-11-23 01:23:43,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5741879Z [2022-11-23 01:23:43,462] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5742120Z [2022-11-23 01:23:43,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5742354Z [2022-11-23 01:23:43,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5742608Z [2022-11-23 01:23:43,463] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5742854Z [2022-11-23 01:23:43,468] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5743040Z [2022-11-23 01:23:43,469] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5743160Z __compiled_fn_146 .1335 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5743248Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5743335Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.5743418Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.5743572Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {} 2022-11-23T01:30:35.5743679Z output, output, output, ((convolution,),), {} 2022-11-23T01:30:35.5743687Z 2022-11-23T01:30:35.5744010Z [2022-11-23 01:23:43,469] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5744103Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5744180Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5744266Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5744357Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5744441Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5744530Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5744605Z 12 RETURN_VALUE 2022-11-23T01:30:35.5744610Z 2022-11-23T01:30:35.5744671Z 2022-11-23T01:30:35.5744993Z [2022-11-23 01:23:43,469] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5745089Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_146) 2022-11-23T01:30:35.5745180Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5745268Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5745374Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5745464Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5745555Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5745629Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.5745702Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5745788Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.5745861Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.5745948Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.5746050Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5746149Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5746237Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5746299Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.5746414Z 30 BUILD_TUPLE 1 2022-11-23T01:30:35.5746488Z 32 RETURN_VALUE 2022-11-23T01:30:35.5746493Z 2022-11-23T01:30:35.5746556Z 2022-11-23T01:30:35.5746736Z [2022-11-23 01:23:43,470] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5746806Z - 2022-11-23T01:30:35.5746923Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5746975Z { 2022-11-23T01:30:35.5747114Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5747300Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.5747418Z 'obj_weakref': None 2022-11-23T01:30:35.5747641Z 'guarded_class': 2022-11-23T01:30:35.5747704Z } 2022-11-23T01:30:35.5747766Z 2022-11-23T01:30:35.5747822Z - 2022-11-23T01:30:35.5747944Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5748010Z { 2022-11-23T01:30:35.5748153Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5748257Z 'code': None, 2022-11-23T01:30:35.5748469Z 'obj_weakref': 2022-11-23T01:30:35.5748720Z 'guarded_class': 2022-11-23T01:30:35.5748783Z } 2022-11-23T01:30:35.5748833Z 2022-11-23T01:30:35.5748902Z - 2022-11-23T01:30:35.5749023Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.5749085Z { 2022-11-23T01:30:35.5749223Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5749328Z 'code': None, 2022-11-23T01:30:35.5749521Z 'obj_weakref': 2022-11-23T01:30:35.5749771Z 'guarded_class': 2022-11-23T01:30:35.5749835Z } 2022-11-23T01:30:35.5749897Z 2022-11-23T01:30:35.5749967Z - 2022-11-23T01:30:35.5750089Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.5750151Z { 2022-11-23T01:30:35.5750276Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5750383Z 'code': None, 2022-11-23T01:30:35.5750588Z 'obj_weakref': 2022-11-23T01:30:35.5750833Z 'guarded_class': 2022-11-23T01:30:35.5750896Z } 2022-11-23T01:30:35.5750958Z 2022-11-23T01:30:35.5751027Z - 2022-11-23T01:30:35.5751145Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5751210Z { 2022-11-23T01:30:35.5751342Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5751507Z 'code': ['___check_obj_id(model, 140534626722448)'], 2022-11-23T01:30:35.5751626Z 'obj_weakref': None 2022-11-23T01:30:35.5751888Z 'guarded_class': 2022-11-23T01:30:35.5751953Z } 2022-11-23T01:30:35.5752003Z 2022-11-23T01:30:35.5752072Z - 2022-11-23T01:30:35.5752194Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5752260Z { 2022-11-23T01:30:35.5752395Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5752613Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5752732Z 'obj_weakref': None 2022-11-23T01:30:35.5752939Z 'guarded_class': 2022-11-23T01:30:35.5753002Z } 2022-11-23T01:30:35.5753064Z 2022-11-23T01:30:35.5753132Z - 2022-11-23T01:30:35.5753262Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5753369Z { 2022-11-23T01:30:35.5753487Z 'guard_types': None, 2022-11-23T01:30:35.5753580Z 'code': None, 2022-11-23T01:30:35.5753699Z 'obj_weakref': None 2022-11-23T01:30:35.5753820Z 'guarded_class': None 2022-11-23T01:30:35.5753883Z } 2022-11-23T01:30:35.5753946Z 2022-11-23T01:30:35.5754205Z [2022-11-23 01:23:43,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145 2022-11-23T01:30:35.5754577Z [2022-11-23 01:23:43,481] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/an/can4luaqoribuwvqliywjj22mjwxxrd634ntqyssizp6uqsgxutc.py 2022-11-23T01:30:35.5754837Z [2022-11-23 01:23:43,481] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145 2022-11-23T01:30:35.5754842Z 2022-11-23T01:30:35.5754922Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5754991Z import torch 2022-11-23T01:30:35.5755064Z import random 2022-11-23T01:30:35.5755179Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5755301Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5755308Z 2022-11-23T01:30:35.5755385Z aten = torch.ops.aten 2022-11-23T01:30:35.5755519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5755599Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5755617Z 2022-11-23T01:30:35.5755621Z 2022-11-23T01:30:35.5755696Z async_compile.wait(globals()) 2022-11-23T01:30:35.5755768Z del async_compile 2022-11-23T01:30:35.5755773Z 2022-11-23T01:30:35.5755844Z def call(args): 2022-11-23T01:30:35.5755928Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.5755999Z args.clear() 2022-11-23T01:30:35.5756133Z buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1) 2022-11-23T01:30:35.5756237Z assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1)) 2022-11-23T01:30:35.5756292Z del arg0_1 2022-11-23T01:30:35.5756363Z del arg1_1 2022-11-23T01:30:35.5756429Z del arg2_1 2022-11-23T01:30:35.5756499Z return (buf0, ) 2022-11-23T01:30:35.5756504Z 2022-11-23T01:30:35.5756508Z 2022-11-23T01:30:35.5756587Z if __name__ == "__main__": 2022-11-23T01:30:35.5756702Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5756824Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5757031Z arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5757228Z arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5757419Z arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5757541Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.5757545Z 2022-11-23T01:30:35.5757611Z ok (0.035s) 2022-11-23T01:30:35.5757908Z test_cos_cpu (__main__.CpuTests) ... [2022-11-23 01:23:43,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5758252Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5758468Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5758721Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5758985Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5759306Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5759652Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5760112Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5760496Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5760591Z 2135 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5760683Z 2 LOAD_METHOD 1 (cos) 2022-11-23T01:30:35.5760776Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.5760864Z 6 CALL_METHOD 1 2022-11-23T01:30:35.5760953Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:35.5761013Z 10 BINARY_ADD 2022-11-23T01:30:35.5761107Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5761198Z 14 LOAD_METHOD 1 (cos) 2022-11-23T01:30:35.5761288Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:35.5761376Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5761451Z 20 BINARY_ADD 2022-11-23T01:30:35.5761539Z 22 CALL_METHOD 1 2022-11-23T01:30:35.5761613Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.5761689Z 26 RETURN_VALUE 2022-11-23T01:30:35.5761751Z 2022-11-23T01:30:35.5761756Z 2022-11-23T01:30:35.5762073Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2135 2022-11-23T01:30:35.5762290Z [2022-11-23 01:23:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5762593Z [2022-11-23 01:23:43,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable()] 2022-11-23T01:30:35.5762840Z [2022-11-23 01:23:43,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)] 2022-11-23T01:30:35.5763125Z [2022-11-23 01:23:43,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:30:35.5763347Z [2022-11-23 01:23:43,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.5763630Z [2022-11-23 01:23:43,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5763870Z [2022-11-23 01:23:43,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5764199Z [2022-11-23 01:23:43,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5764472Z [2022-11-23 01:23:43,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)] 2022-11-23T01:30:35.5764924Z [2022-11-23 01:23:43,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:30:35.5765325Z [2022-11-23 01:23:43,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5765636Z [2022-11-23 01:23:43,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:30:35.5765906Z [2022-11-23 01:23:43,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5766151Z [2022-11-23 01:23:43,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5766532Z [2022-11-23 01:23:43,503] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5766801Z [2022-11-23 01:23:43,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5767039Z [2022-11-23 01:23:43,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5767291Z [2022-11-23 01:23:43,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5767538Z [2022-11-23 01:23:43,509] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5767725Z [2022-11-23 01:23:43,510] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5767858Z __compiled_fn_147 .1341 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5767946Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5768045Z call_function, cos, aten.cos, (ex_0_,), {} 2022-11-23T01:30:35.5768202Z call_function, add, , (cos, 2), {} 2022-11-23T01:30:35.5768377Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.5768478Z call_function, cos_1, aten.cos, (add_1,), {} 2022-11-23T01:30:35.5768580Z output, output, output, ((add, cos_1),), {} 2022-11-23T01:30:35.5768586Z 2022-11-23T01:30:35.5768908Z [2022-11-23 01:23:43,510] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5769001Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5769088Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5769174Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5769251Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5769334Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5769420Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5769495Z 12 RETURN_VALUE 2022-11-23T01:30:35.5769499Z 2022-11-23T01:30:35.5769564Z 2022-11-23T01:30:35.5769888Z [2022-11-23 01:23:43,510] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5769997Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_147) 2022-11-23T01:30:35.5770088Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5770164Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5770239Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5770329Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5770432Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5770532Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5770619Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5770694Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.5770780Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5770868Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5770945Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.5771030Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.5771104Z 26 RETURN_VALUE 2022-11-23T01:30:35.5771137Z 2022-11-23T01:30:35.5771198Z 2022-11-23T01:30:35.5771381Z [2022-11-23 01:23:43,511] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5771439Z - 2022-11-23T01:30:35.5771556Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5771620Z { 2022-11-23T01:30:35.5771760Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5771943Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.5772061Z 'obj_weakref': None 2022-11-23T01:30:35.5772285Z 'guarded_class': 2022-11-23T01:30:35.5772337Z } 2022-11-23T01:30:35.5772400Z 2022-11-23T01:30:35.5772469Z - 2022-11-23T01:30:35.5772619Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5772682Z { 2022-11-23T01:30:35.5772823Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5772930Z 'code': None, 2022-11-23T01:30:35.5773130Z 'obj_weakref': 2022-11-23T01:30:35.5773382Z 'guarded_class': 2022-11-23T01:30:35.5773445Z } 2022-11-23T01:30:35.5773508Z 2022-11-23T01:30:35.5773577Z - 2022-11-23T01:30:35.5773705Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5773767Z { 2022-11-23T01:30:35.5773888Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5774055Z 'code': ['___check_obj_id(model, 140534621348352)'], 2022-11-23T01:30:35.5774174Z 'obj_weakref': None 2022-11-23T01:30:35.5774405Z 'guarded_class': 2022-11-23T01:30:35.5774470Z } 2022-11-23T01:30:35.5774532Z 2022-11-23T01:30:35.5774600Z - 2022-11-23T01:30:35.5774713Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5774778Z { 2022-11-23T01:30:35.5774914Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5775129Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5775247Z 'obj_weakref': None 2022-11-23T01:30:35.5775468Z 'guarded_class': 2022-11-23T01:30:35.5775530Z } 2022-11-23T01:30:35.5775580Z 2022-11-23T01:30:35.5775648Z - 2022-11-23T01:30:35.5775777Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5775840Z { 2022-11-23T01:30:35.5775959Z 'guard_types': None, 2022-11-23T01:30:35.5776063Z 'code': None, 2022-11-23T01:30:35.5776180Z 'obj_weakref': None 2022-11-23T01:30:35.5776287Z 'guarded_class': None 2022-11-23T01:30:35.5776349Z } 2022-11-23T01:30:35.5776413Z 2022-11-23T01:30:35.5776672Z [2022-11-23 01:23:43,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146 2022-11-23T01:30:35.5777035Z [2022-11-23 01:23:44,985] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jl/cjle5eogb4qk2upe75qyr7li6a3srlxgim7qoyggmvjkst6idfgv.py 2022-11-23T01:30:35.5777299Z [2022-11-23 01:23:44,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146 2022-11-23T01:30:35.5777304Z 2022-11-23T01:30:35.5777397Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5777464Z import torch 2022-11-23T01:30:35.5777521Z import random 2022-11-23T01:30:35.5777635Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5777760Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5777767Z 2022-11-23T01:30:35.5777844Z aten = torch.ops.aten 2022-11-23T01:30:35.5777979Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5778105Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5778111Z 2022-11-23T01:30:35.5778115Z 2022-11-23T01:30:35.5778248Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5778454Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5778560Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5778660Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.5778756Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.5778817Z { 2022-11-23T01:30:35.5778913Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5778974Z { 2022-11-23T01:30:35.5779050Z #pragma omp for 2022-11-23T01:30:35.5779119Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.5779211Z { 2022-11-23T01:30:35.5779368Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.5779450Z auto tmp1 = tmp0.cos(); 2022-11-23T01:30:35.5779584Z auto tmp2 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.5779667Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.5779794Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.5779864Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:35.5779946Z auto tmp6 = tmp5.cos(); 2022-11-23T01:30:35.5780035Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.5780124Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.5780186Z } 2022-11-23T01:30:35.5780278Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.5780360Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.5780409Z { 2022-11-23T01:30:35.5780491Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.5780581Z auto tmp1 = std::cos(tmp0); 2022-11-23T01:30:35.5780678Z auto tmp2 = static_cast(2); 2022-11-23T01:30:35.5780762Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.5780858Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.5780939Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:35.5781013Z auto tmp6 = std::cos(tmp5); 2022-11-23T01:30:35.5781092Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.5781169Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.5781231Z } 2022-11-23T01:30:35.5781292Z } 2022-11-23T01:30:35.5781353Z } 2022-11-23T01:30:35.5781431Z ''') 2022-11-23T01:30:35.5781437Z 2022-11-23T01:30:35.5781441Z 2022-11-23T01:30:35.5781515Z async_compile.wait(globals()) 2022-11-23T01:30:35.5781586Z del async_compile 2022-11-23T01:30:35.5781590Z 2022-11-23T01:30:35.5781659Z def call(args): 2022-11-23T01:30:35.5781731Z arg0_1, = args 2022-11-23T01:30:35.5781803Z args.clear() 2022-11-23T01:30:35.5782034Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5782328Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5782492Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.5782548Z del arg0_1 2022-11-23T01:30:35.5782624Z return (buf0, buf1, ) 2022-11-23T01:30:35.5782629Z 2022-11-23T01:30:35.5782633Z 2022-11-23T01:30:35.5782709Z if __name__ == "__main__": 2022-11-23T01:30:35.5782822Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5782945Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5783143Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5783249Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.5783254Z 2022-11-23T01:30:35.5783320Z ok (1.505s) 2022-11-23T01:30:35.5783441Z test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.002s) 2022-11-23T01:30:35.5783650Z test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s) 2022-11-23T01:30:35.5783989Z test_div1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5784304Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5784522Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5784774Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5785051Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5785371Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5785753Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5786072Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5786432Z [2022-11-23 01:23:44,994] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5786527Z 1063 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5786616Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5786706Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5786795Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5786887Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.5787049Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5787141Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5787147Z 2022-11-23T01:30:35.5787224Z 1064 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5787312Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5787399Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5787484Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5787626Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.5787785Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5787873Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5787878Z 2022-11-23T01:30:35.5787956Z 1065 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5788044Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5788133Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5788219Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5788364Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.5788523Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5788615Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5788620Z 2022-11-23T01:30:35.5788706Z 1066 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5788780Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5788864Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.5788869Z 2022-11-23T01:30:35.5788953Z 1067 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5789038Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5789122Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.5789126Z 2022-11-23T01:30:35.5789212Z 1062 54 BUILD_TUPLE 5 2022-11-23T01:30:35.5789289Z 56 RETURN_VALUE 2022-11-23T01:30:35.5789350Z 2022-11-23T01:30:35.5789354Z 2022-11-23T01:30:35.5789684Z [2022-11-23 01:23:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1063 2022-11-23T01:30:35.5789902Z [2022-11-23 01:23:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5790204Z [2022-11-23 01:23:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.5790454Z [2022-11-23 01:23:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.5790730Z [2022-11-23 01:23:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5791039Z [2022-11-23 01:23:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5791483Z [2022-11-23 01:23:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.5791886Z [2022-11-23 01:23:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.5792200Z [2022-11-23 01:23:45,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1064 2022-11-23T01:30:35.5792446Z [2022-11-23 01:23:45,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5792775Z [2022-11-23 01:23:45,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5793038Z [2022-11-23 01:23:45,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5793343Z [2022-11-23 01:23:45,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5793681Z [2022-11-23 01:23:45,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5794077Z [2022-11-23 01:23:45,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5794504Z [2022-11-23 01:23:45,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5794817Z [2022-11-23 01:23:45,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1065 2022-11-23T01:30:35.5795092Z [2022-11-23 01:23:45,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5795453Z [2022-11-23 01:23:45,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5795753Z [2022-11-23 01:23:45,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5796083Z [2022-11-23 01:23:45,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5796449Z [2022-11-23 01:23:45,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5796904Z [2022-11-23 01:23:45,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5797361Z [2022-11-23 01:23:45,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5797658Z [2022-11-23 01:23:45,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1066 2022-11-23T01:30:35.5797957Z [2022-11-23 01:23:45,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5798273Z [2022-11-23 01:23:45,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5798681Z [2022-11-23 01:23:45,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5798991Z [2022-11-23 01:23:45,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1067 2022-11-23T01:30:35.5799306Z [2022-11-23 01:23:45,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5799652Z [2022-11-23 01:23:45,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5800132Z [2022-11-23 01:23:45,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5800453Z [2022-11-23 01:23:45,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1062 2022-11-23T01:30:35.5800805Z [2022-11-23 01:23:45,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5801048Z [2022-11-23 01:23:45,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5801426Z [2022-11-23 01:23:45,025] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5801655Z [2022-11-23 01:23:45,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5801891Z [2022-11-23 01:23:45,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5802148Z [2022-11-23 01:23:45,027] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5802397Z [2022-11-23 01:23:45,037] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5802585Z [2022-11-23 01:23:45,037] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5802719Z __compiled_fn_148 .1347 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5802807Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5802892Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.5803065Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.5803256Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.5803443Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.5803636Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5803862Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5803996Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.5804002Z 2022-11-23T01:30:35.5804330Z [2022-11-23 01:23:45,037] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5804420Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5804510Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5804584Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5804676Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5804891Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5804981Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5805057Z 12 RETURN_VALUE 2022-11-23T01:30:35.5805110Z 2022-11-23T01:30:35.5805172Z 2022-11-23T01:30:35.5805506Z [2022-11-23 01:23:45,037] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5805601Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_148) 2022-11-23T01:30:35.5805693Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5805781Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5805858Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5805945Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5806033Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5806107Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.5806184Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.5806288Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5806391Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5806481Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5806558Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.5806658Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5806746Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5806823Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.5806910Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5806996Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.5807071Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.5807170Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5807256Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.5807331Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.5807427Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5807501Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.5807577Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.5807666Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.5807742Z 50 RETURN_VALUE 2022-11-23T01:30:35.5807747Z 2022-11-23T01:30:35.5807809Z 2022-11-23T01:30:35.5807993Z [2022-11-23 01:23:45,038] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5808063Z - 2022-11-23T01:30:35.5808168Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5808232Z { 2022-11-23T01:30:35.5808372Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5808558Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.5808676Z 'obj_weakref': None 2022-11-23T01:30:35.5808898Z 'guarded_class': 2022-11-23T01:30:35.5808963Z } 2022-11-23T01:30:35.5809013Z 2022-11-23T01:30:35.5809081Z - 2022-11-23T01:30:35.5809203Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5809268Z { 2022-11-23T01:30:35.5809408Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5809512Z 'code': None, 2022-11-23T01:30:35.5809758Z 'obj_weakref': 2022-11-23T01:30:35.5810003Z 'guarded_class': 2022-11-23T01:30:35.5810067Z } 2022-11-23T01:30:35.5810129Z 2022-11-23T01:30:35.5810198Z - 2022-11-23T01:30:35.5810320Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.5810381Z { 2022-11-23T01:30:35.5810521Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5810612Z 'code': None, 2022-11-23T01:30:35.5810819Z 'obj_weakref': 2022-11-23T01:30:35.5811064Z 'guarded_class': 2022-11-23T01:30:35.5811156Z } 2022-11-23T01:30:35.5811217Z 2022-11-23T01:30:35.5811285Z - 2022-11-23T01:30:35.5811417Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5811467Z { 2022-11-23T01:30:35.5811599Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5811769Z 'code': ['___check_obj_id(model, 140534431834336)'], 2022-11-23T01:30:35.5811884Z 'obj_weakref': None 2022-11-23T01:30:35.5812113Z 'guarded_class': 2022-11-23T01:30:35.5812176Z } 2022-11-23T01:30:35.5812238Z 2022-11-23T01:30:35.5812294Z - 2022-11-23T01:30:35.5812414Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5812476Z { 2022-11-23T01:30:35.5812610Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5812826Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5812946Z 'obj_weakref': None 2022-11-23T01:30:35.5813167Z 'guarded_class': 2022-11-23T01:30:35.5813217Z } 2022-11-23T01:30:35.5813280Z 2022-11-23T01:30:35.5813348Z - 2022-11-23T01:30:35.5813477Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5813539Z { 2022-11-23T01:30:35.5813656Z 'guard_types': None, 2022-11-23T01:30:35.5813760Z 'code': None, 2022-11-23T01:30:35.5813863Z 'obj_weakref': None 2022-11-23T01:30:35.5813983Z 'guarded_class': None 2022-11-23T01:30:35.5814044Z } 2022-11-23T01:30:35.5814106Z 2022-11-23T01:30:35.5814364Z [2022-11-23 01:23:45,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147 2022-11-23T01:30:35.5814736Z [2022-11-23 01:23:46,550] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cfljbodpxbcownmyuuwmot2twvb2ptwpsw44bzzge5ipfio4fqrh.py 2022-11-23T01:30:35.5815002Z [2022-11-23 01:23:46,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147 2022-11-23T01:30:35.5815008Z 2022-11-23T01:30:35.5815101Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5815158Z import torch 2022-11-23T01:30:35.5815227Z import random 2022-11-23T01:30:35.5815341Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5815460Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5815465Z 2022-11-23T01:30:35.5815541Z aten = torch.ops.aten 2022-11-23T01:30:35.5815673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5815765Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5815770Z 2022-11-23T01:30:35.5815774Z 2022-11-23T01:30:35.5815894Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5816098Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5816216Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.5816345Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.5816444Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.5816540Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.5816631Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.5816722Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.5816803Z float* __restrict__ out_ptr4) 2022-11-23T01:30:35.5816865Z { 2022-11-23T01:30:35.5816961Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5817022Z { 2022-11-23T01:30:35.5817098Z #pragma omp for 2022-11-23T01:30:35.5817180Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.5817243Z { 2022-11-23T01:30:35.5817370Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.5817535Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.5817620Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.5817707Z auto tmp3 = tmp2.floor(); 2022-11-23T01:30:35.5817791Z auto tmp4 = tmp2.trunc(); 2022-11-23T01:30:35.5817880Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.5817968Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.5818044Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.5818131Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:30:35.5818218Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:30:35.5818279Z } 2022-11-23T01:30:35.5818372Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.5818453Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.5818514Z { 2022-11-23T01:30:35.5818586Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.5818668Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.5818754Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.5818847Z auto tmp3 = std::floor(tmp2); 2022-11-23T01:30:35.5818937Z auto tmp4 = std::trunc(tmp2); 2022-11-23T01:30:35.5819017Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.5819096Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.5819160Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:35.5819236Z out_ptr3[i0] = tmp2; 2022-11-23T01:30:35.5819311Z out_ptr4[i0] = tmp3; 2022-11-23T01:30:35.5819373Z } 2022-11-23T01:30:35.5819434Z } 2022-11-23T01:30:35.5819493Z } 2022-11-23T01:30:35.5819558Z ''') 2022-11-23T01:30:35.5819574Z 2022-11-23T01:30:35.5819578Z 2022-11-23T01:30:35.5819654Z async_compile.wait(globals()) 2022-11-23T01:30:35.5819725Z del async_compile 2022-11-23T01:30:35.5819729Z 2022-11-23T01:30:35.5819799Z def call(args): 2022-11-23T01:30:35.5819873Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.5819944Z args.clear() 2022-11-23T01:30:35.5820141Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5820333Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5820509Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5820695Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5820878Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5821137Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.5821206Z del arg0_1 2022-11-23T01:30:35.5821271Z del arg1_1 2022-11-23T01:30:35.5821368Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.5821373Z 2022-11-23T01:30:35.5821377Z 2022-11-23T01:30:35.5821452Z if __name__ == "__main__": 2022-11-23T01:30:35.5821566Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5821674Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5821894Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5822088Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5822201Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.5822206Z 2022-11-23T01:30:35.5822272Z ok (1.562s) 2022-11-23T01:30:35.5822570Z test_div2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:46,556] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5822882Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5823097Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5823336Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5823645Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5823963Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5824306Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5824632Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5825004Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5825102Z 1075 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5825194Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5825286Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5825364Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5825455Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.5825615Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5825706Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5825712Z 2022-11-23T01:30:35.5825803Z 1076 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5825891Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5825977Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5826063Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5826191Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.5826352Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5826442Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5826447Z 2022-11-23T01:30:35.5826540Z 1077 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5826627Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5826714Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5826800Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5826939Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.5827085Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5827175Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5827179Z 2022-11-23T01:30:35.5827265Z 1078 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5827350Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5827432Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.5827440Z 2022-11-23T01:30:35.5827526Z 1079 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5827610Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5827709Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.5827726Z 2022-11-23T01:30:35.5827802Z 1074 54 BUILD_TUPLE 5 2022-11-23T01:30:35.5827879Z 56 RETURN_VALUE 2022-11-23T01:30:35.5827939Z 2022-11-23T01:30:35.5827944Z 2022-11-23T01:30:35.5828258Z [2022-11-23 01:23:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1075 2022-11-23T01:30:35.5828473Z [2022-11-23 01:23:46,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5828776Z [2022-11-23 01:23:46,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.5829023Z [2022-11-23 01:23:46,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.5829327Z [2022-11-23 01:23:46,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5829637Z [2022-11-23 01:23:46,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5830000Z [2022-11-23 01:23:46,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.5830405Z [2022-11-23 01:23:46,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.5830719Z [2022-11-23 01:23:46,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1076 2022-11-23T01:30:35.5830964Z [2022-11-23 01:23:46,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5831296Z [2022-11-23 01:23:46,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5831570Z [2022-11-23 01:23:46,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5831871Z [2022-11-23 01:23:46,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5832208Z [2022-11-23 01:23:46,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5832601Z [2022-11-23 01:23:46,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5833028Z [2022-11-23 01:23:46,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5833339Z [2022-11-23 01:23:46,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1077 2022-11-23T01:30:35.5833610Z [2022-11-23 01:23:46,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5833952Z [2022-11-23 01:23:46,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5834251Z [2022-11-23 01:23:46,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5834585Z [2022-11-23 01:23:46,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5834986Z [2022-11-23 01:23:46,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5835413Z [2022-11-23 01:23:46,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5835867Z [2022-11-23 01:23:46,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5836181Z [2022-11-23 01:23:46,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1078 2022-11-23T01:30:35.5836505Z [2022-11-23 01:23:46,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5836821Z [2022-11-23 01:23:46,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5837190Z [2022-11-23 01:23:46,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5837501Z [2022-11-23 01:23:46,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1079 2022-11-23T01:30:35.5837816Z [2022-11-23 01:23:46,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5838163Z [2022-11-23 01:23:46,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5838547Z [2022-11-23 01:23:46,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5838857Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1074 2022-11-23T01:30:35.5839209Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5839453Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5839831Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5840151Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5840394Z [2022-11-23 01:23:46,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5840649Z [2022-11-23 01:23:46,589] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5840896Z [2022-11-23 01:23:46,600] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5841085Z [2022-11-23 01:23:46,600] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5841205Z __compiled_fn_149 .1353 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5841294Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5841380Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.5841570Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.5841797Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.5841989Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.5842178Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5842373Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5842490Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.5842496Z 2022-11-23T01:30:35.5842824Z [2022-11-23 01:23:46,601] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5842919Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5843010Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5843139Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5843232Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5843317Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5843407Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5843470Z 12 RETURN_VALUE 2022-11-23T01:30:35.5843475Z 2022-11-23T01:30:35.5843536Z 2022-11-23T01:30:35.5843862Z [2022-11-23 01:23:46,601] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5843971Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_149) 2022-11-23T01:30:35.5844062Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5844150Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5844227Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5844302Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5844391Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5844467Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.5844555Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.5844661Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5844869Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5844960Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5845035Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.5845122Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5845209Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5845284Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.5845382Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5845468Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.5845543Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.5845642Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5845718Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.5845793Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.5845889Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5845978Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.5846052Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.5846138Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.5846212Z 50 RETURN_VALUE 2022-11-23T01:30:35.5846217Z 2022-11-23T01:30:35.5846266Z 2022-11-23T01:30:35.5846450Z [2022-11-23 01:23:46,601] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5846520Z - 2022-11-23T01:30:35.5846640Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5846704Z { 2022-11-23T01:30:35.5846843Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5847029Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.5847134Z 'obj_weakref': None 2022-11-23T01:30:35.5847360Z 'guarded_class': 2022-11-23T01:30:35.5847424Z } 2022-11-23T01:30:35.5847489Z 2022-11-23T01:30:35.5847607Z - 2022-11-23T01:30:35.5847732Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5847795Z { 2022-11-23T01:30:35.5847924Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5848028Z 'code': None, 2022-11-23T01:30:35.5848241Z 'obj_weakref': 2022-11-23T01:30:35.5848491Z 'guarded_class': 2022-11-23T01:30:35.5848555Z } 2022-11-23T01:30:35.5848618Z 2022-11-23T01:30:35.5848688Z - 2022-11-23T01:30:35.5848796Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.5848859Z { 2022-11-23T01:30:35.5849000Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5849148Z 'code': None, 2022-11-23T01:30:35.5849356Z 'obj_weakref': 2022-11-23T01:30:35.5849607Z 'guarded_class': 2022-11-23T01:30:35.5849671Z } 2022-11-23T01:30:35.5849719Z 2022-11-23T01:30:35.5849788Z - 2022-11-23T01:30:35.5849920Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5849985Z { 2022-11-23T01:30:35.5850120Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5850285Z 'code': ['___check_obj_id(model, 140534626717984)'], 2022-11-23T01:30:35.5850404Z 'obj_weakref': None 2022-11-23T01:30:35.5850617Z 'guarded_class': 2022-11-23T01:30:35.5850682Z } 2022-11-23T01:30:35.5850745Z 2022-11-23T01:30:35.5850818Z - 2022-11-23T01:30:35.5850937Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5851000Z { 2022-11-23T01:30:35.5851139Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5851342Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5851461Z 'obj_weakref': None 2022-11-23T01:30:35.5851681Z 'guarded_class': 2022-11-23T01:30:35.5851744Z } 2022-11-23T01:30:35.5851806Z 2022-11-23T01:30:35.5851873Z - 2022-11-23T01:30:35.5852005Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5852054Z { 2022-11-23T01:30:35.5852173Z 'guard_types': None, 2022-11-23T01:30:35.5852279Z 'code': None, 2022-11-23T01:30:35.5852393Z 'obj_weakref': None 2022-11-23T01:30:35.5852512Z 'guarded_class': None 2022-11-23T01:30:35.5852578Z } 2022-11-23T01:30:35.5852639Z 2022-11-23T01:30:35.5852888Z [2022-11-23 01:23:46,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148 2022-11-23T01:30:35.5853260Z [2022-11-23 01:23:48,086] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i6/ci6sgbsziavvyguy6hynlquskvjwcpmrbxm5c5or7ojvce5roaya.py 2022-11-23T01:30:35.5853521Z [2022-11-23 01:23:48,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148 2022-11-23T01:30:35.5853527Z 2022-11-23T01:30:35.5853618Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5853687Z import torch 2022-11-23T01:30:35.5853756Z import random 2022-11-23T01:30:35.5853871Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5853990Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5853995Z 2022-11-23T01:30:35.5854060Z aten = torch.ops.aten 2022-11-23T01:30:35.5854193Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5854287Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5854291Z 2022-11-23T01:30:35.5854296Z 2022-11-23T01:30:35.5854458Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5854665Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5854782Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.5854886Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.5854983Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.5855065Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.5855157Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.5855248Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.5855340Z float* __restrict__ out_ptr4) 2022-11-23T01:30:35.5855402Z { 2022-11-23T01:30:35.5855499Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5855593Z { 2022-11-23T01:30:35.5855657Z #pragma omp for 2022-11-23T01:30:35.5855739Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.5855804Z { 2022-11-23T01:30:35.5855867Z { 2022-11-23T01:30:35.5855933Z { 2022-11-23T01:30:35.5856024Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.5856101Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.5856208Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.5856296Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:35.5856400Z auto tmp4 = std::floor(tmp3); 2022-11-23T01:30:35.5856497Z auto tmp5 = std::trunc(tmp3); 2022-11-23T01:30:35.5856580Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.5856663Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:35.5856745Z out_ptr2[i0] = tmp5; 2022-11-23T01:30:35.5856813Z out_ptr3[i0] = tmp3; 2022-11-23T01:30:35.5856895Z out_ptr4[i0] = tmp4; 2022-11-23T01:30:35.5856959Z } 2022-11-23T01:30:35.5857021Z } 2022-11-23T01:30:35.5857084Z } 2022-11-23T01:30:35.5857145Z } 2022-11-23T01:30:35.5857192Z } 2022-11-23T01:30:35.5857270Z ''') 2022-11-23T01:30:35.5857275Z 2022-11-23T01:30:35.5857279Z 2022-11-23T01:30:35.5857368Z async_compile.wait(globals()) 2022-11-23T01:30:35.5857441Z del async_compile 2022-11-23T01:30:35.5857445Z 2022-11-23T01:30:35.5857515Z def call(args): 2022-11-23T01:30:35.5857589Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.5857659Z args.clear() 2022-11-23T01:30:35.5857851Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5858029Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5858215Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5858407Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5858595Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5858860Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.5858929Z del arg0_1 2022-11-23T01:30:35.5858994Z del arg1_1 2022-11-23T01:30:35.5859089Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.5859094Z 2022-11-23T01:30:35.5859099Z 2022-11-23T01:30:35.5859162Z if __name__ == "__main__": 2022-11-23T01:30:35.5859277Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5859398Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5859588Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5859778Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5859894Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.5859899Z 2022-11-23T01:30:35.5859964Z ok (1.536s) 2022-11-23T01:30:35.5860292Z test_div3_cpu (__main__.CpuTests) ... [2022-11-23 01:23:48,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5860598Z [2022-11-23 01:23:48,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5860816Z [2022-11-23 01:23:48,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5861069Z [2022-11-23 01:23:48,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5861345Z [2022-11-23 01:23:48,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5861665Z [2022-11-23 01:23:48,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5862049Z [2022-11-23 01:23:48,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5862372Z [2022-11-23 01:23:48,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5862745Z [2022-11-23 01:23:48,093] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5862840Z 1087 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5862929Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5863006Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5863094Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5863189Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.5863351Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5863444Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5863449Z 2022-11-23T01:30:35.5863540Z 1088 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5863627Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5863715Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5863787Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5863927Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.5864086Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5864177Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5864181Z 2022-11-23T01:30:35.5864273Z 1089 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5864360Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5864450Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5864524Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5864668Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.5864824Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5864914Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5864918Z 2022-11-23T01:30:35.5865003Z 1090 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5865090Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5865171Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.5865176Z 2022-11-23T01:30:35.5865260Z 1091 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5865332Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5865415Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.5865420Z 2022-11-23T01:30:35.5865508Z 1086 54 BUILD_TUPLE 5 2022-11-23T01:30:35.5865585Z 56 RETURN_VALUE 2022-11-23T01:30:35.5865645Z 2022-11-23T01:30:35.5865649Z 2022-11-23T01:30:35.5865993Z [2022-11-23 01:23:48,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1087 2022-11-23T01:30:35.5866210Z [2022-11-23 01:23:48,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5866513Z [2022-11-23 01:23:48,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.5866761Z [2022-11-23 01:23:48,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.5867024Z [2022-11-23 01:23:48,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5867335Z [2022-11-23 01:23:48,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5867742Z [2022-11-23 01:23:48,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.5868144Z [2022-11-23 01:23:48,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.5868458Z [2022-11-23 01:23:48,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1088 2022-11-23T01:30:35.5868702Z [2022-11-23 01:23:48,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5869030Z [2022-11-23 01:23:48,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5869303Z [2022-11-23 01:23:48,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5869605Z [2022-11-23 01:23:48,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5869942Z [2022-11-23 01:23:48,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5870335Z [2022-11-23 01:23:48,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5870757Z [2022-11-23 01:23:48,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5871059Z [2022-11-23 01:23:48,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1089 2022-11-23T01:30:35.5871334Z [2022-11-23 01:23:48,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5871692Z [2022-11-23 01:23:48,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5871996Z [2022-11-23 01:23:48,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5872325Z [2022-11-23 01:23:48,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5872692Z [2022-11-23 01:23:48,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5873148Z [2022-11-23 01:23:48,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5873602Z [2022-11-23 01:23:48,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5873916Z [2022-11-23 01:23:48,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1090 2022-11-23T01:30:35.5874206Z [2022-11-23 01:23:48,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5874525Z [2022-11-23 01:23:48,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5874929Z [2022-11-23 01:23:48,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5875243Z [2022-11-23 01:23:48,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1091 2022-11-23T01:30:35.5875549Z [2022-11-23 01:23:48,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5875895Z [2022-11-23 01:23:48,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5876289Z [2022-11-23 01:23:48,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5876606Z [2022-11-23 01:23:48,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1086 2022-11-23T01:30:35.5876956Z [2022-11-23 01:23:48,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5877200Z [2022-11-23 01:23:48,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5877577Z [2022-11-23 01:23:48,119] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5877819Z [2022-11-23 01:23:48,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5878053Z [2022-11-23 01:23:48,120] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5878311Z [2022-11-23 01:23:48,121] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5878557Z [2022-11-23 01:23:48,131] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5878733Z [2022-11-23 01:23:48,132] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5878865Z __compiled_fn_150 .1359 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5878953Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5879039Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.5879225Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.5879418Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.5879608Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.5879790Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5880088Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5880224Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.5880231Z 2022-11-23T01:30:35.5880560Z [2022-11-23 01:23:48,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5880652Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5880742Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5880828Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5880921Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5880993Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5881081Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5881156Z 12 RETURN_VALUE 2022-11-23T01:30:35.5881190Z 2022-11-23T01:30:35.5881251Z 2022-11-23T01:30:35.5881578Z [2022-11-23 01:23:48,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5881686Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_150) 2022-11-23T01:30:35.5881776Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5881866Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5881929Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5882019Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5882106Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5882181Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.5882267Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.5882370Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5882471Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5882548Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5882624Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.5882724Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5882811Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5882885Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.5882984Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5883069Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.5883131Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.5883228Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5883313Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.5883386Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.5883483Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5883569Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.5883642Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.5883731Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.5883792Z 50 RETURN_VALUE 2022-11-23T01:30:35.5883798Z 2022-11-23T01:30:35.5883861Z 2022-11-23T01:30:35.5884047Z [2022-11-23 01:23:48,133] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5884122Z - 2022-11-23T01:30:35.5884240Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5884306Z { 2022-11-23T01:30:35.5884446Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5884620Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.5884843Z 'obj_weakref': None 2022-11-23T01:30:35.5885072Z 'guarded_class': 2022-11-23T01:30:35.5885137Z } 2022-11-23T01:30:35.5885200Z 2022-11-23T01:30:35.5885270Z - 2022-11-23T01:30:35.5885392Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5885445Z { 2022-11-23T01:30:35.5885589Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5885695Z 'code': None, 2022-11-23T01:30:35.5885951Z 'obj_weakref': 2022-11-23T01:30:35.5886208Z 'guarded_class': 2022-11-23T01:30:35.5886270Z } 2022-11-23T01:30:35.5886332Z 2022-11-23T01:30:35.5886389Z - 2022-11-23T01:30:35.5886511Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.5886573Z { 2022-11-23T01:30:35.5886714Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5886821Z 'code': None, 2022-11-23T01:30:35.5887027Z 'obj_weakref': 2022-11-23T01:30:35.5887272Z 'guarded_class': 2022-11-23T01:30:35.5887371Z } 2022-11-23T01:30:35.5887435Z 2022-11-23T01:30:35.5887505Z - 2022-11-23T01:30:35.5887639Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5887701Z { 2022-11-23T01:30:35.5887836Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5888003Z 'code': ['___check_obj_id(model, 140534643340720)'], 2022-11-23T01:30:35.5888107Z 'obj_weakref': None 2022-11-23T01:30:35.5888335Z 'guarded_class': 2022-11-23T01:30:35.5888400Z } 2022-11-23T01:30:35.5888463Z 2022-11-23T01:30:35.5888532Z - 2022-11-23T01:30:35.5888653Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5888716Z { 2022-11-23T01:30:35.5888839Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5889055Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5889177Z 'obj_weakref': None 2022-11-23T01:30:35.5889402Z 'guarded_class': 2022-11-23T01:30:35.5889465Z } 2022-11-23T01:30:35.5889527Z 2022-11-23T01:30:35.5889595Z - 2022-11-23T01:30:35.5889712Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5889775Z { 2022-11-23T01:30:35.5889896Z 'guard_types': None, 2022-11-23T01:30:35.5890002Z 'code': None, 2022-11-23T01:30:35.5890120Z 'obj_weakref': None 2022-11-23T01:30:35.5890240Z 'guarded_class': None 2022-11-23T01:30:35.5890290Z } 2022-11-23T01:30:35.5890352Z 2022-11-23T01:30:35.5890612Z [2022-11-23 01:23:48,143] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149 2022-11-23T01:30:35.5890985Z [2022-11-23 01:23:49,597] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwhqllc3jgvj56whfw5b3whsmmsmxpwflronelgqlpk77smbg3v.py 2022-11-23T01:30:35.5891258Z [2022-11-23 01:23:49,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149 2022-11-23T01:30:35.5891263Z 2022-11-23T01:30:35.5891357Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5891425Z import torch 2022-11-23T01:30:35.5891494Z import random 2022-11-23T01:30:35.5891596Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5891716Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5891723Z 2022-11-23T01:30:35.5891799Z aten = torch.ops.aten 2022-11-23T01:30:35.5891934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5892027Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5892032Z 2022-11-23T01:30:35.5892035Z 2022-11-23T01:30:35.5892170Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5892374Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5892495Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.5892663Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.5892751Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.5892846Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.5892938Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.5893034Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.5893126Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.5893187Z { 2022-11-23T01:30:35.5893285Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5893334Z { 2022-11-23T01:30:35.5893411Z #pragma omp for 2022-11-23T01:30:35.5893495Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.5893557Z { 2022-11-23T01:30:35.5893621Z { 2022-11-23T01:30:35.5893684Z { 2022-11-23T01:30:35.5893794Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.5893884Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.5893994Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.5894097Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.5894187Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:30:35.5894438Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:30:35.5894526Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:30:35.5894608Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.5894679Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:35.5899765Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:35.5899888Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:35.5899979Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:35.5900047Z } 2022-11-23T01:30:35.5900105Z } 2022-11-23T01:30:35.5900169Z } 2022-11-23T01:30:35.5900233Z } 2022-11-23T01:30:35.5900296Z } 2022-11-23T01:30:35.5900403Z ''') 2022-11-23T01:30:35.5900409Z 2022-11-23T01:30:35.5900418Z 2022-11-23T01:30:35.5900513Z async_compile.wait(globals()) 2022-11-23T01:30:35.5900588Z del async_compile 2022-11-23T01:30:35.5900593Z 2022-11-23T01:30:35.5900651Z def call(args): 2022-11-23T01:30:35.5900727Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.5900799Z args.clear() 2022-11-23T01:30:35.5901005Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5901199Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5901384Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5901574Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5901747Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5902017Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.5902090Z del arg0_1 2022-11-23T01:30:35.5902157Z del arg1_1 2022-11-23T01:30:35.5902255Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.5902260Z 2022-11-23T01:30:35.5902265Z 2022-11-23T01:30:35.5902341Z if __name__ == "__main__": 2022-11-23T01:30:35.5902457Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5902583Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5902773Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5902951Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5903067Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.5903072Z 2022-11-23T01:30:35.5903142Z ok (1.511s) 2022-11-23T01:30:35.5903444Z test_div4_cpu (__main__.CpuTests) ... [2022-11-23 01:23:49,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5903835Z [2022-11-23 01:23:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5904056Z [2022-11-23 01:23:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5904313Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5904595Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5904916Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5905252Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5905610Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5905985Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5906082Z 1100 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5906175Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5906268Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5906359Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5906453Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.5906617Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5906699Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5906705Z 2022-11-23T01:30:35.5906797Z 1101 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5906889Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5906978Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5907065Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5907206Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.5907365Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5907443Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5907447Z 2022-11-23T01:30:35.5907539Z 1102 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5907627Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5907714Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5907801Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5907945Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.5908109Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5908203Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5908208Z 2022-11-23T01:30:35.5908282Z 1103 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5908368Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5908451Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.5908456Z 2022-11-23T01:30:35.5908544Z 1104 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5908630Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5908716Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.5908721Z 2022-11-23T01:30:35.5908810Z 1099 54 BUILD_TUPLE 5 2022-11-23T01:30:35.5908887Z 56 RETURN_VALUE 2022-11-23T01:30:35.5908937Z 2022-11-23T01:30:35.5908942Z 2022-11-23T01:30:35.5909258Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1100 2022-11-23T01:30:35.5909503Z [2022-11-23 01:23:49,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5909809Z [2022-11-23 01:23:49,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.5910059Z [2022-11-23 01:23:49,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.5910336Z [2022-11-23 01:23:49,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5910644Z [2022-11-23 01:23:49,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5911021Z [2022-11-23 01:23:49,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.5911463Z [2022-11-23 01:23:49,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.5911777Z [2022-11-23 01:23:49,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1101 2022-11-23T01:30:35.5912009Z [2022-11-23 01:23:49,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5912340Z [2022-11-23 01:23:49,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5912615Z [2022-11-23 01:23:49,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5912922Z [2022-11-23 01:23:49,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5913262Z [2022-11-23 01:23:49,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5913656Z [2022-11-23 01:23:49,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5914076Z [2022-11-23 01:23:49,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5914386Z [2022-11-23 01:23:49,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1102 2022-11-23T01:30:35.5914660Z [2022-11-23 01:23:49,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5915020Z [2022-11-23 01:23:49,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5915320Z [2022-11-23 01:23:49,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5915650Z [2022-11-23 01:23:49,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5916001Z [2022-11-23 01:23:49,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5916425Z [2022-11-23 01:23:49,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5916915Z [2022-11-23 01:23:49,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5917231Z [2022-11-23 01:23:49,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1103 2022-11-23T01:30:35.5917522Z [2022-11-23 01:23:49,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5917843Z [2022-11-23 01:23:49,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5918209Z [2022-11-23 01:23:49,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5918551Z [2022-11-23 01:23:49,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1104 2022-11-23T01:30:35.5918871Z [2022-11-23 01:23:49,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5919216Z [2022-11-23 01:23:49,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5919610Z [2022-11-23 01:23:49,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5919921Z [2022-11-23 01:23:49,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1099 2022-11-23T01:30:35.5920366Z [2022-11-23 01:23:49,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5920598Z [2022-11-23 01:23:49,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5920975Z [2022-11-23 01:23:49,630] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5921223Z [2022-11-23 01:23:49,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5921455Z [2022-11-23 01:23:49,631] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5921713Z [2022-11-23 01:23:49,632] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5921966Z [2022-11-23 01:23:49,641] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5922157Z [2022-11-23 01:23:49,641] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5922294Z __compiled_fn_151 .1365 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5922385Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5922458Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.5922648Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.5922840Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.5923030Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.5923223Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5923418Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5923549Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.5923555Z 2022-11-23T01:30:35.5923916Z [2022-11-23 01:23:49,641] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5924012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5924090Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5924176Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5924268Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5924353Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5924442Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5924518Z 12 RETURN_VALUE 2022-11-23T01:30:35.5924523Z 2022-11-23T01:30:35.5924586Z 2022-11-23T01:30:35.5925002Z [2022-11-23 01:23:49,641] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5925166Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_151) 2022-11-23T01:30:35.5925260Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5925351Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5925430Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5925520Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5925610Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5925672Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.5925763Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.5925868Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5925971Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5926060Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5926136Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.5926237Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5926329Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5926390Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.5926493Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5926583Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.5926660Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.5926760Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5926848Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.5926923Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.5927009Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5927097Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.5927173Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.5927262Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.5927338Z 50 RETURN_VALUE 2022-11-23T01:30:35.5927346Z 2022-11-23T01:30:35.5927408Z 2022-11-23T01:30:35.5927594Z [2022-11-23 01:23:49,642] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5927651Z - 2022-11-23T01:30:35.5927772Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5927839Z { 2022-11-23T01:30:35.5927979Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5928166Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.5928285Z 'obj_weakref': None 2022-11-23T01:30:35.5928510Z 'guarded_class': 2022-11-23T01:30:35.5928562Z } 2022-11-23T01:30:35.5928626Z 2022-11-23T01:30:35.5928697Z - 2022-11-23T01:30:35.5928820Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5928885Z { 2022-11-23T01:30:35.5929027Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5929135Z 'code': None, 2022-11-23T01:30:35.5929336Z 'obj_weakref': 2022-11-23T01:30:35.5929624Z 'guarded_class': 2022-11-23T01:30:35.5929691Z } 2022-11-23T01:30:35.5929754Z 2022-11-23T01:30:35.5929824Z - 2022-11-23T01:30:35.5929946Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.5930010Z { 2022-11-23T01:30:35.5930138Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5930245Z 'code': None, 2022-11-23T01:30:35.5930452Z 'obj_weakref': 2022-11-23T01:30:35.5930699Z 'guarded_class': 2022-11-23T01:30:35.5930762Z } 2022-11-23T01:30:35.5930827Z 2022-11-23T01:30:35.5930899Z - 2022-11-23T01:30:35.5931046Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5931111Z { 2022-11-23T01:30:35.5931245Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5931419Z 'code': ['___check_obj_id(model, 140534431038720)'], 2022-11-23T01:30:35.5931538Z 'obj_weakref': None 2022-11-23T01:30:35.5931768Z 'guarded_class': 2022-11-23T01:30:35.5931833Z } 2022-11-23T01:30:35.5931883Z 2022-11-23T01:30:35.5931956Z - 2022-11-23T01:30:35.5932078Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5932141Z { 2022-11-23T01:30:35.5932276Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5932495Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5932613Z 'obj_weakref': None 2022-11-23T01:30:35.5932821Z 'guarded_class': 2022-11-23T01:30:35.5932887Z } 2022-11-23T01:30:35.5932953Z 2022-11-23T01:30:35.5933023Z - 2022-11-23T01:30:35.5933155Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5933219Z { 2022-11-23T01:30:35.5933337Z 'guard_types': None, 2022-11-23T01:30:35.5933429Z 'code': None, 2022-11-23T01:30:35.5933545Z 'obj_weakref': None 2022-11-23T01:30:35.5933665Z 'guarded_class': None 2022-11-23T01:30:35.5933729Z } 2022-11-23T01:30:35.5933793Z 2022-11-23T01:30:35.5934054Z [2022-11-23 01:23:49,652] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150 2022-11-23T01:30:35.5934427Z [2022-11-23 01:23:49,673] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwhqllc3jgvj56whfw5b3whsmmsmxpwflronelgqlpk77smbg3v.py 2022-11-23T01:30:35.5934677Z [2022-11-23 01:23:49,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150 2022-11-23T01:30:35.5934699Z 2022-11-23T01:30:35.5934779Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5934850Z import torch 2022-11-23T01:30:35.5934920Z import random 2022-11-23T01:30:35.5935036Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5935157Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5935162Z 2022-11-23T01:30:35.5935240Z aten = torch.ops.aten 2022-11-23T01:30:35.5935374Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5935453Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5935457Z 2022-11-23T01:30:35.5935474Z 2022-11-23T01:30:35.5935595Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5935801Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5935920Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.5936023Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.5936123Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.5936247Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.5936342Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.5936425Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.5936518Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.5936582Z { 2022-11-23T01:30:35.5936680Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5936743Z { 2022-11-23T01:30:35.5936821Z #pragma omp for 2022-11-23T01:30:35.5936903Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.5936953Z { 2022-11-23T01:30:35.5937017Z { 2022-11-23T01:30:35.5937082Z { 2022-11-23T01:30:35.5937175Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.5937267Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.5937374Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.5937495Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.5937588Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:30:35.5937839Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:30:35.5937930Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:30:35.5938017Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.5938102Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:35.5938183Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:35.5938267Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:35.5938335Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:35.5938400Z } 2022-11-23T01:30:35.5938463Z } 2022-11-23T01:30:35.5938529Z } 2022-11-23T01:30:35.5938594Z } 2022-11-23T01:30:35.5938654Z } 2022-11-23T01:30:35.5938721Z ''') 2022-11-23T01:30:35.5938741Z 2022-11-23T01:30:35.5938745Z 2022-11-23T01:30:35.5938822Z async_compile.wait(globals()) 2022-11-23T01:30:35.5938893Z del async_compile 2022-11-23T01:30:35.5938898Z 2022-11-23T01:30:35.5938973Z def call(args): 2022-11-23T01:30:35.5939049Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.5939121Z args.clear() 2022-11-23T01:30:35.5939316Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5939506Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5939678Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5939870Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5940056Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5940315Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.5940388Z del arg0_1 2022-11-23T01:30:35.5940457Z del arg1_1 2022-11-23T01:30:35.5940557Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.5940561Z 2022-11-23T01:30:35.5940566Z 2022-11-23T01:30:35.5940644Z if __name__ == "__main__": 2022-11-23T01:30:35.5940746Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5940870Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5941061Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5941248Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5941363Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.5941367Z 2022-11-23T01:30:35.5941435Z ok (0.076s) 2022-11-23T01:30:35.5941733Z test_div5_cpu (__main__.CpuTests) ... [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5942055Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5942304Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5942547Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5942828Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5943146Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5943493Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5943863Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5944242Z [2022-11-23 01:23:49,679] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5944338Z 1115 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5944429Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5944521Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5944599Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5944693Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.5944853Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5944948Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5944953Z 2022-11-23T01:30:35.5945044Z 1116 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5945136Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5945226Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5945316Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5945444Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.5945602Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5945693Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5945697Z 2022-11-23T01:30:35.5945789Z 1117 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5945878Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5945967Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5946056Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5946200Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.5946345Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5946440Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5946445Z 2022-11-23T01:30:35.5946531Z 1118 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5946619Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5946702Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.5946706Z 2022-11-23T01:30:35.5946793Z 1119 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5946879Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5946950Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.5946972Z 2022-11-23T01:30:35.5947048Z 1114 54 BUILD_TUPLE 5 2022-11-23T01:30:35.5947124Z 56 RETURN_VALUE 2022-11-23T01:30:35.5947187Z 2022-11-23T01:30:35.5947192Z 2022-11-23T01:30:35.5947509Z [2022-11-23 01:23:49,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1115 2022-11-23T01:30:35.5947729Z [2022-11-23 01:23:49,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5948066Z [2022-11-23 01:23:49,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.5948316Z [2022-11-23 01:23:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.5948590Z [2022-11-23 01:23:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5948897Z [2022-11-23 01:23:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5949287Z [2022-11-23 01:23:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:35.5949695Z [2022-11-23 01:23:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.5950045Z [2022-11-23 01:23:49,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1116 2022-11-23T01:30:35.5950290Z [2022-11-23 01:23:49,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5950620Z [2022-11-23 01:23:49,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5950894Z [2022-11-23 01:23:49,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5951196Z [2022-11-23 01:23:49,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5951543Z [2022-11-23 01:23:49,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5951947Z [2022-11-23 01:23:49,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:30:35.5952378Z [2022-11-23 01:23:49,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5952689Z [2022-11-23 01:23:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1117 2022-11-23T01:30:35.5952958Z [2022-11-23 01:23:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5953306Z [2022-11-23 01:23:49,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5953609Z [2022-11-23 01:23:49,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5953934Z [2022-11-23 01:23:49,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5954307Z [2022-11-23 01:23:49,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5954741Z [2022-11-23 01:23:49,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:30:35.5955242Z [2022-11-23 01:23:49,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5955559Z [2022-11-23 01:23:49,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1118 2022-11-23T01:30:35.5955851Z [2022-11-23 01:23:49,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5956168Z [2022-11-23 01:23:49,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5956541Z [2022-11-23 01:23:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5956887Z [2022-11-23 01:23:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1119 2022-11-23T01:30:35.5957205Z [2022-11-23 01:23:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5957552Z [2022-11-23 01:23:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5957948Z [2022-11-23 01:23:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.5958260Z [2022-11-23 01:23:49,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1114 2022-11-23T01:30:35.5958619Z [2022-11-23 01:23:49,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5958861Z [2022-11-23 01:23:49,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5959238Z [2022-11-23 01:23:49,706] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5959481Z [2022-11-23 01:23:49,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5959715Z [2022-11-23 01:23:49,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5959969Z [2022-11-23 01:23:49,707] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5960299Z [2022-11-23 01:23:49,715] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5960493Z [2022-11-23 01:23:49,715] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5960615Z __compiled_fn_152 .1371 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5960706Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5960889Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None} 2022-11-23T01:30:35.5961079Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.5961266Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.5961458Z call_function, truediv, , (ex_0_, 16), {} 2022-11-23T01:30:35.5961650Z call_function, floordiv, , (ex_0_, 16), {} 2022-11-23T01:30:35.5961782Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.5961787Z 2022-11-23T01:30:35.5962098Z [2022-11-23 01:23:49,716] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5962229Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5962322Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5962409Z 4 BUILD_MAP 0 2022-11-23T01:30:35.5962502Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.5962588Z 8 DICT_MERGE 1 2022-11-23T01:30:35.5962676Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.5962752Z 12 RETURN_VALUE 2022-11-23T01:30:35.5962757Z 2022-11-23T01:30:35.5962804Z 2022-11-23T01:30:35.5963128Z [2022-11-23 01:23:49,716] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5963237Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_152) 2022-11-23T01:30:35.5963357Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5963449Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5963527Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.5963619Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.5963709Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5963811Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5963899Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.5963977Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.5964077Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5964166Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.5964245Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.5964345Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5964420Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.5964495Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.5964598Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5964684Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:35.5964870Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.5964969Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.5965056Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:35.5965118Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.5965206Z 42 BUILD_TUPLE 5 2022-11-23T01:30:35.5965282Z 44 RETURN_VALUE 2022-11-23T01:30:35.5965287Z 2022-11-23T01:30:35.5965349Z 2022-11-23T01:30:35.5965535Z [2022-11-23 01:23:49,717] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.5965606Z - 2022-11-23T01:30:35.5965727Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.5965778Z { 2022-11-23T01:30:35.5965918Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.5966105Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.5966231Z 'obj_weakref': None 2022-11-23T01:30:35.5966462Z 'guarded_class': 2022-11-23T01:30:35.5966530Z } 2022-11-23T01:30:35.5966595Z 2022-11-23T01:30:35.5966651Z - 2022-11-23T01:30:35.5966777Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.5966841Z { 2022-11-23T01:30:35.5966987Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.5967095Z 'code': None, 2022-11-23T01:30:35.5967308Z 'obj_weakref': 2022-11-23T01:30:35.5967558Z 'guarded_class': 2022-11-23T01:30:35.5967609Z } 2022-11-23T01:30:35.5967674Z 2022-11-23T01:30:35.5967745Z - 2022-11-23T01:30:35.5967873Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:35.5967940Z { 2022-11-23T01:30:35.5968083Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.5968318Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 16'], 2022-11-23T01:30:35.5968426Z 'obj_weakref': None 2022-11-23T01:30:35.5968647Z 'guarded_class': 2022-11-23T01:30:35.5968711Z } 2022-11-23T01:30:35.5968776Z 2022-11-23T01:30:35.5968846Z - 2022-11-23T01:30:35.5968977Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.5969041Z { 2022-11-23T01:30:35.5969161Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.5969332Z 'code': ['___check_obj_id(model, 140534642596960)'], 2022-11-23T01:30:35.5969451Z 'obj_weakref': None 2022-11-23T01:30:35.5969683Z 'guarded_class': 2022-11-23T01:30:35.5969784Z } 2022-11-23T01:30:35.5969849Z 2022-11-23T01:30:35.5969920Z - 2022-11-23T01:30:35.5970031Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.5970096Z { 2022-11-23T01:30:35.5970235Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.5970453Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.5970576Z 'obj_weakref': None 2022-11-23T01:30:35.5970796Z 'guarded_class': 2022-11-23T01:30:35.5970860Z } 2022-11-23T01:30:35.5970912Z 2022-11-23T01:30:35.5970983Z - 2022-11-23T01:30:35.5971114Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.5971179Z { 2022-11-23T01:30:35.5971300Z 'guard_types': None, 2022-11-23T01:30:35.5971407Z 'code': None, 2022-11-23T01:30:35.5971530Z 'obj_weakref': None 2022-11-23T01:30:35.5971640Z 'guarded_class': None 2022-11-23T01:30:35.5971704Z } 2022-11-23T01:30:35.5971768Z 2022-11-23T01:30:35.5972032Z [2022-11-23 01:23:49,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151 2022-11-23T01:30:35.5972402Z [2022-11-23 01:23:51,185] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lg/clgjbwipkjyomsl27unia6mm4zk5otqhnuh556adix4wscv6ggna.py 2022-11-23T01:30:35.5972665Z [2022-11-23 01:23:51,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151 2022-11-23T01:30:35.5972670Z 2022-11-23T01:30:35.5972763Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.5972832Z import torch 2022-11-23T01:30:35.5972889Z import random 2022-11-23T01:30:35.5973004Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.5973125Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.5973133Z 2022-11-23T01:30:35.5973211Z aten = torch.ops.aten 2022-11-23T01:30:35.5973348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.5973443Z async_compile = AsyncCompile() 2022-11-23T01:30:35.5973447Z 2022-11-23T01:30:35.5973452Z 2022-11-23T01:30:35.5973585Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.5973775Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.5973892Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.5973991Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.5974087Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.5974179Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.5974274Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.5974366Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.5974430Z { 2022-11-23T01:30:35.5974517Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.5974579Z { 2022-11-23T01:30:35.5974657Z #pragma omp for 2022-11-23T01:30:35.5974740Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.5974836Z { 2022-11-23T01:30:35.5974902Z { 2022-11-23T01:30:35.5974954Z { 2022-11-23T01:30:35.5975048Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.5975156Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.5975261Z auto tmp2 = static_cast(16); 2022-11-23T01:30:35.5975356Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:35.5975457Z auto tmp4 = static_cast(16); 2022-11-23T01:30:35.5975707Z auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4); 2022-11-23T01:30:35.5975798Z auto tmp6 = tmp0 / tmp4; 2022-11-23T01:30:35.5975871Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.5975983Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:35.5976068Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:35.5976152Z out_ptr3[i0] = tmp3; 2022-11-23T01:30:35.5976236Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:35.5976302Z } 2022-11-23T01:30:35.5976365Z } 2022-11-23T01:30:35.5976415Z } 2022-11-23T01:30:35.5976477Z } 2022-11-23T01:30:35.5976539Z } 2022-11-23T01:30:35.5976618Z ''') 2022-11-23T01:30:35.5976623Z 2022-11-23T01:30:35.5976627Z 2022-11-23T01:30:35.5976718Z async_compile.wait(globals()) 2022-11-23T01:30:35.5976791Z del async_compile 2022-11-23T01:30:35.5976796Z 2022-11-23T01:30:35.5976868Z def call(args): 2022-11-23T01:30:35.5976925Z arg0_1, = args 2022-11-23T01:30:35.5976997Z args.clear() 2022-11-23T01:30:35.5977192Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5977382Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5977570Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5977761Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.5977946Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5978184Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.5978242Z del arg0_1 2022-11-23T01:30:35.5978338Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.5978343Z 2022-11-23T01:30:35.5978347Z 2022-11-23T01:30:35.5978423Z if __name__ == "__main__": 2022-11-23T01:30:35.5978536Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.5978660Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.5978849Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.5978958Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.5978963Z 2022-11-23T01:30:35.5979030Z ok (1.512s) 2022-11-23T01:30:35.5979316Z test_div6_cpu (__main__.CpuTests) ... [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.5979634Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.5979850Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.5980103Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.5980380Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.5980697Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5981072Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5981398Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.5981776Z [2022-11-23 01:23:51,192] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.5981872Z 1128 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5981951Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5982040Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5982129Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5982250Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.5982411Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5982506Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5982512Z 2022-11-23T01:30:35.5982603Z 1129 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5982693Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5982767Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5982853Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5982994Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.5983152Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5983243Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5983248Z 2022-11-23T01:30:35.5983338Z 1130 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.5983426Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.5983503Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5983596Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5983804Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.5984007Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.5984101Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.5984105Z 2022-11-23T01:30:35.5984190Z 1131 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5984277Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5984362Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.5984367Z 2022-11-23T01:30:35.5984441Z 1132 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.5984525Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.5984609Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.5984614Z 2022-11-23T01:30:35.5984706Z 1127 54 BUILD_TUPLE 5 2022-11-23T01:30:35.5984783Z 56 RETURN_VALUE 2022-11-23T01:30:35.5984847Z 2022-11-23T01:30:35.5984852Z 2022-11-23T01:30:35.5985176Z [2022-11-23 01:23:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1128 2022-11-23T01:30:35.5985395Z [2022-11-23 01:23:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.5985687Z [2022-11-23 01:23:51,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.5985936Z [2022-11-23 01:23:51,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.5986211Z [2022-11-23 01:23:51,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5986521Z [2022-11-23 01:23:51,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5986938Z [2022-11-23 01:23:51,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.5987343Z [2022-11-23 01:23:51,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.5987658Z [2022-11-23 01:23:51,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1129 2022-11-23T01:30:35.5987901Z [2022-11-23 01:23:51,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.5988231Z [2022-11-23 01:23:51,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5988552Z [2022-11-23 01:23:51,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5988862Z [2022-11-23 01:23:51,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5989187Z [2022-11-23 01:23:51,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5989581Z [2022-11-23 01:23:51,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5990005Z [2022-11-23 01:23:51,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5990319Z [2022-11-23 01:23:51,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1130 2022-11-23T01:30:35.5990593Z [2022-11-23 01:23:51,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5990950Z [2022-11-23 01:23:51,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.5991254Z [2022-11-23 01:23:51,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.5991583Z [2022-11-23 01:23:51,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.5991947Z [2022-11-23 01:23:51,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5992374Z [2022-11-23 01:23:51,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.5992824Z [2022-11-23 01:23:51,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.5993134Z [2022-11-23 01:23:51,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1131 2022-11-23T01:30:35.5993426Z [2022-11-23 01:23:51,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5993731Z [2022-11-23 01:23:51,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5994125Z [2022-11-23 01:23:51,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5994438Z [2022-11-23 01:23:51,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1132 2022-11-23T01:30:35.5994753Z [2022-11-23 01:23:51,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5995094Z [2022-11-23 01:23:51,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5995493Z [2022-11-23 01:23:51,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5995836Z [2022-11-23 01:23:51,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1127 2022-11-23T01:30:35.5996186Z [2022-11-23 01:23:51,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.5996434Z [2022-11-23 01:23:51,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5996813Z [2022-11-23 01:23:51,219] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.5997057Z [2022-11-23 01:23:51,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.5997291Z [2022-11-23 01:23:51,219] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.5997539Z [2022-11-23 01:23:51,221] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.5997789Z [2022-11-23 01:23:51,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.5997976Z [2022-11-23 01:23:51,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.5998111Z __compiled_fn_153 .1377 opcode, name, target, args, kwargs 2022-11-23T01:30:35.5998199Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.5998286Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.5998474Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.5998665Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.5998841Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.5999036Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5999231Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.5999366Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.5999371Z 2022-11-23T01:30:35.5999696Z [2022-11-23 01:23:51,230] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.5999790Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.5999881Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.5999968Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6000107Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6000192Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6000283Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6000360Z 12 RETURN_VALUE 2022-11-23T01:30:35.6000367Z 2022-11-23T01:30:35.6000431Z 2022-11-23T01:30:35.6000788Z [2022-11-23 01:23:51,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6000897Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_153) 2022-11-23T01:30:35.6000988Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6001064Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6001141Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6001230Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6001318Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6001396Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6001484Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6001586Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6001674Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6001791Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6001867Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6001971Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6002060Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6002135Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6002234Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6002308Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6002383Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6002484Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6002571Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6002645Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6002744Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6002831Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.6002892Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6002984Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.6003058Z 50 RETURN_VALUE 2022-11-23T01:30:35.6003062Z 2022-11-23T01:30:35.6003124Z 2022-11-23T01:30:35.6003313Z [2022-11-23 01:23:51,231] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6003385Z - 2022-11-23T01:30:35.6003505Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6003557Z { 2022-11-23T01:30:35.6003698Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6003888Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6004006Z 'obj_weakref': None 2022-11-23T01:30:35.6004230Z 'guarded_class': 2022-11-23T01:30:35.6004295Z } 2022-11-23T01:30:35.6004360Z 2022-11-23T01:30:35.6004416Z - 2022-11-23T01:30:35.6004538Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6004609Z { 2022-11-23T01:30:35.6004890Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6005000Z 'code': None, 2022-11-23T01:30:35.6005215Z 'obj_weakref': 2022-11-23T01:30:35.6005469Z 'guarded_class': 2022-11-23T01:30:35.6005534Z } 2022-11-23T01:30:35.6005586Z 2022-11-23T01:30:35.6005656Z - 2022-11-23T01:30:35.6005781Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6005845Z { 2022-11-23T01:30:35.6005988Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6006097Z 'code': None, 2022-11-23T01:30:35.6006293Z 'obj_weakref': 2022-11-23T01:30:35.6006540Z 'guarded_class': 2022-11-23T01:30:35.6006608Z } 2022-11-23T01:30:35.6006672Z 2022-11-23T01:30:35.6006744Z - 2022-11-23T01:30:35.6006878Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6006995Z { 2022-11-23T01:30:35.6007136Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6007303Z 'code': ['___check_obj_id(model, 140534625222320)'], 2022-11-23T01:30:35.6007420Z 'obj_weakref': None 2022-11-23T01:30:35.6007637Z 'guarded_class': 2022-11-23T01:30:35.6007702Z } 2022-11-23T01:30:35.6007766Z 2022-11-23T01:30:35.6007836Z - 2022-11-23T01:30:35.6007956Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6008019Z { 2022-11-23T01:30:35.6008141Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6008357Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6008511Z 'obj_weakref': None 2022-11-23T01:30:35.6008736Z 'guarded_class': 2022-11-23T01:30:35.6008800Z } 2022-11-23T01:30:35.6008862Z 2022-11-23T01:30:35.6008931Z - 2022-11-23T01:30:35.6009049Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6009112Z { 2022-11-23T01:30:35.6009230Z 'guard_types': None, 2022-11-23T01:30:35.6009335Z 'code': None, 2022-11-23T01:30:35.6009451Z 'obj_weakref': None 2022-11-23T01:30:35.6009570Z 'guarded_class': None 2022-11-23T01:30:35.6009632Z } 2022-11-23T01:30:35.6009682Z 2022-11-23T01:30:35.6009941Z [2022-11-23 01:23:51,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152 2022-11-23T01:30:35.6010308Z [2022-11-23 01:23:52,743] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/32/c323ip3ntgdzkaukmtmcmb2d2eovh7ujgnx7gxhl722rnkfzl6q7.py 2022-11-23T01:30:35.6010575Z [2022-11-23 01:23:52,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152 2022-11-23T01:30:35.6010581Z 2022-11-23T01:30:35.6010674Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6010742Z import torch 2022-11-23T01:30:35.6010810Z import random 2022-11-23T01:30:35.6010924Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6011032Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6011049Z 2022-11-23T01:30:35.6011113Z aten = torch.ops.aten 2022-11-23T01:30:35.6011244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6011336Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6011341Z 2022-11-23T01:30:35.6011346Z 2022-11-23T01:30:35.6011478Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6011682Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6011801Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.6011905Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.6011992Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6012087Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.6012178Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.6012271Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.6012363Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.6012426Z { 2022-11-23T01:30:35.6012523Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6012572Z { 2022-11-23T01:30:35.6012649Z #pragma omp for 2022-11-23T01:30:35.6012729Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.6012791Z { 2022-11-23T01:30:35.6012854Z { 2022-11-23T01:30:35.6012917Z { 2022-11-23T01:30:35.6013012Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6013089Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:35.6013194Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.6013329Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.6013436Z auto tmp4 = static_cast(tmp3); 2022-11-23T01:30:35.6013523Z auto tmp5 = tmp2 / tmp4; 2022-11-23T01:30:35.6013772Z auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3); 2022-11-23T01:30:35.6013862Z auto tmp7 = tmp1 / tmp3; 2022-11-23T01:30:35.6013964Z auto tmp8 = static_cast(tmp0); 2022-11-23T01:30:35.6014039Z auto tmp9 = tmp8 / tmp4; 2022-11-23T01:30:35.6014123Z out_ptr0[i0] = tmp5; 2022-11-23T01:30:35.6014203Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.6014286Z out_ptr2[i0] = tmp7; 2022-11-23T01:30:35.6014394Z out_ptr3[i0] = tmp9; 2022-11-23T01:30:35.6014476Z out_ptr4[i0] = tmp6; 2022-11-23T01:30:35.6014541Z } 2022-11-23T01:30:35.6014591Z } 2022-11-23T01:30:35.6014652Z } 2022-11-23T01:30:35.6014714Z } 2022-11-23T01:30:35.6014775Z } 2022-11-23T01:30:35.6014852Z ''') 2022-11-23T01:30:35.6014857Z 2022-11-23T01:30:35.6014861Z 2022-11-23T01:30:35.6014950Z async_compile.wait(globals()) 2022-11-23T01:30:35.6015021Z del async_compile 2022-11-23T01:30:35.6015025Z 2022-11-23T01:30:35.6015083Z def call(args): 2022-11-23T01:30:35.6015159Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6015230Z args.clear() 2022-11-23T01:30:35.6015425Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6015613Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6015799Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6015989Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6016162Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6016426Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.6016495Z del arg0_1 2022-11-23T01:30:35.6016561Z del arg1_1 2022-11-23T01:30:35.6016656Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6016661Z 2022-11-23T01:30:35.6016665Z 2022-11-23T01:30:35.6016740Z if __name__ == "__main__": 2022-11-23T01:30:35.6016855Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6016976Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6017150Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.6017343Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6017457Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6017464Z 2022-11-23T01:30:35.6017530Z ok (1.557s) 2022-11-23T01:30:35.6017830Z test_div7_cpu (__main__.CpuTests) ... [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6018147Z [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6018363Z [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6018617Z [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6018896Z [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6019204Z [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6019578Z [2022-11-23 01:23:52,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6019905Z [2022-11-23 01:23:52,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6020279Z [2022-11-23 01:23:52,750] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6020373Z 1144 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6020466Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6020557Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6020676Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6020768Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6020920Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6021013Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6021017Z 2022-11-23T01:30:35.6021107Z 1145 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6021194Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6021283Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6021369Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6021509Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.6021669Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6021746Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6021750Z 2022-11-23T01:30:35.6021842Z 1146 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6021932Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6022021Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6022110Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6022251Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.6022408Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6022487Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6022504Z 2022-11-23T01:30:35.6022579Z 1147 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6022666Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6022751Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.6022755Z 2022-11-23T01:30:35.6022841Z 1148 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6022926Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6023010Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.6023014Z 2022-11-23T01:30:35.6023106Z 1143 54 BUILD_TUPLE 5 2022-11-23T01:30:35.6023168Z 56 RETURN_VALUE 2022-11-23T01:30:35.6023229Z 2022-11-23T01:30:35.6023234Z 2022-11-23T01:30:35.6023551Z [2022-11-23 01:23:52,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1144 2022-11-23T01:30:35.6023767Z [2022-11-23 01:23:52,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6024071Z [2022-11-23 01:23:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6024318Z [2022-11-23 01:23:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.6024592Z [2022-11-23 01:23:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6024898Z [2022-11-23 01:23:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6025305Z [2022-11-23 01:23:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6025710Z [2022-11-23 01:23:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.6026021Z [2022-11-23 01:23:52,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1145 2022-11-23T01:30:35.6026252Z [2022-11-23 01:23:52,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6026583Z [2022-11-23 01:23:52,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6026889Z [2022-11-23 01:23:52,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6027189Z [2022-11-23 01:23:52,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6027527Z [2022-11-23 01:23:52,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6027918Z [2022-11-23 01:23:52,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6028337Z [2022-11-23 01:23:52,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6028652Z [2022-11-23 01:23:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1146 2022-11-23T01:30:35.6028923Z [2022-11-23 01:23:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6029274Z [2022-11-23 01:23:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6029574Z [2022-11-23 01:23:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6029902Z [2022-11-23 01:23:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6030256Z [2022-11-23 01:23:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6030685Z [2022-11-23 01:23:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6031138Z [2022-11-23 01:23:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6031448Z [2022-11-23 01:23:52,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1147 2022-11-23T01:30:35.6031740Z [2022-11-23 01:23:52,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6032061Z [2022-11-23 01:23:52,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6032455Z [2022-11-23 01:23:52,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6032768Z [2022-11-23 01:23:52,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1148 2022-11-23T01:30:35.6033084Z [2022-11-23 01:23:52,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6033430Z [2022-11-23 01:23:52,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6033827Z [2022-11-23 01:23:52,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6034189Z [2022-11-23 01:23:52,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1143 2022-11-23T01:30:35.6034539Z [2022-11-23 01:23:52,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6034770Z [2022-11-23 01:23:52,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6035147Z [2022-11-23 01:23:52,777] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6035388Z [2022-11-23 01:23:52,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6035622Z [2022-11-23 01:23:52,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6035877Z [2022-11-23 01:23:52,778] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6036125Z [2022-11-23 01:23:52,786] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6036312Z [2022-11-23 01:23:52,786] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6036446Z __compiled_fn_154 .1383 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6036535Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6036607Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6036793Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.6036984Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.6037170Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.6037360Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6037557Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6037687Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.6037692Z 2022-11-23T01:30:35.6038017Z [2022-11-23 01:23:52,786] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6038096Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6038187Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6038273Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6038365Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6038449Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6038536Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6038614Z 12 RETURN_VALUE 2022-11-23T01:30:35.6038619Z 2022-11-23T01:30:35.6038679Z 2022-11-23T01:30:35.6039020Z [2022-11-23 01:23:52,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6039129Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_154) 2022-11-23T01:30:35.6039219Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6039308Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6039383Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6039469Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6039557Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6039619Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6039705Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6039806Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6039935Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6040107Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6040184Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6040288Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6040363Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6040437Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6040537Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6040625Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6040699Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6040796Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6040882Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6040943Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6041042Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6041128Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.6041205Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6041291Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.6041366Z 50 RETURN_VALUE 2022-11-23T01:30:35.6041374Z 2022-11-23T01:30:35.6041435Z 2022-11-23T01:30:35.6041624Z [2022-11-23 01:23:52,787] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6041682Z - 2022-11-23T01:30:35.6041801Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6041864Z { 2022-11-23T01:30:35.6042004Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6042188Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6042306Z 'obj_weakref': None 2022-11-23T01:30:35.6042530Z 'guarded_class': 2022-11-23T01:30:35.6042581Z } 2022-11-23T01:30:35.6042643Z 2022-11-23T01:30:35.6042711Z - 2022-11-23T01:30:35.6042838Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6042899Z { 2022-11-23T01:30:35.6043040Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6043136Z 'code': None, 2022-11-23T01:30:35.6043349Z 'obj_weakref': 2022-11-23T01:30:35.6043601Z 'guarded_class': 2022-11-23T01:30:35.6043663Z } 2022-11-23T01:30:35.6043726Z 2022-11-23T01:30:35.6043794Z - 2022-11-23T01:30:35.6043916Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6043978Z { 2022-11-23T01:30:35.6044105Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6044209Z 'code': None, 2022-11-23T01:30:35.6044415Z 'obj_weakref': 2022-11-23T01:30:35.6044662Z 'guarded_class': 2022-11-23T01:30:35.6044731Z } 2022-11-23T01:30:35.6044879Z 2022-11-23T01:30:35.6044950Z - 2022-11-23T01:30:35.6045157Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6045223Z { 2022-11-23T01:30:35.6045357Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6045524Z 'code': ['___check_obj_id(model, 140534431841104)'], 2022-11-23T01:30:35.6045641Z 'obj_weakref': None 2022-11-23T01:30:35.6045870Z 'guarded_class': 2022-11-23T01:30:35.6045933Z } 2022-11-23T01:30:35.6045983Z 2022-11-23T01:30:35.6046052Z - 2022-11-23T01:30:35.6046173Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6046236Z { 2022-11-23T01:30:35.6046369Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6046585Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6046742Z 'obj_weakref': None 2022-11-23T01:30:35.6046953Z 'guarded_class': 2022-11-23T01:30:35.6047015Z } 2022-11-23T01:30:35.6047076Z 2022-11-23T01:30:35.6047145Z - 2022-11-23T01:30:35.6047273Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6047335Z { 2022-11-23T01:30:35.6047440Z 'guard_types': None, 2022-11-23T01:30:35.6047544Z 'code': None, 2022-11-23T01:30:35.6047659Z 'obj_weakref': None 2022-11-23T01:30:35.6047779Z 'guarded_class': None 2022-11-23T01:30:35.6047841Z } 2022-11-23T01:30:35.6047903Z 2022-11-23T01:30:35.6048162Z [2022-11-23 01:23:52,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153 2022-11-23T01:30:35.6048539Z [2022-11-23 01:23:54,276] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chpwd6sruoqq3mhsivq7mecrlyfz5p2z7wqvbnkyoleghyu7qjnw.py 2022-11-23T01:30:35.6048791Z [2022-11-23 01:23:54,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153 2022-11-23T01:30:35.6048796Z 2022-11-23T01:30:35.6048890Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6048958Z import torch 2022-11-23T01:30:35.6049026Z import random 2022-11-23T01:30:35.6049140Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6049260Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6049266Z 2022-11-23T01:30:35.6049342Z aten = torch.ops.aten 2022-11-23T01:30:35.6049475Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6049554Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6049558Z 2022-11-23T01:30:35.6049563Z 2022-11-23T01:30:35.6049696Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6049902Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6050023Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6050129Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.6050228Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6050322Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.6050412Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.6050493Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.6050585Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.6050645Z { 2022-11-23T01:30:35.6050742Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6050804Z { 2022-11-23T01:30:35.6050880Z #pragma omp for 2022-11-23T01:30:35.6050951Z for(long i0=0; i0<10000; i0+=1) 2022-11-23T01:30:35.6051014Z { 2022-11-23T01:30:35.6051075Z { 2022-11-23T01:30:35.6051142Z { 2022-11-23T01:30:35.6051232Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6051323Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.6051456Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.6051549Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.6051640Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:30:35.6051892Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:30:35.6051980Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:30:35.6052063Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.6052145Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:35.6052225Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:35.6052306Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:35.6052373Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:35.6052471Z } 2022-11-23T01:30:35.6052532Z } 2022-11-23T01:30:35.6052596Z } 2022-11-23T01:30:35.6052658Z } 2022-11-23T01:30:35.6052718Z } 2022-11-23T01:30:35.6052786Z ''') 2022-11-23T01:30:35.6052791Z 2022-11-23T01:30:35.6052807Z 2022-11-23T01:30:35.6052884Z async_compile.wait(globals()) 2022-11-23T01:30:35.6052955Z del async_compile 2022-11-23T01:30:35.6052959Z 2022-11-23T01:30:35.6053028Z def call(args): 2022-11-23T01:30:35.6053104Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6053174Z args.clear() 2022-11-23T01:30:35.6053377Z buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6053576Z buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6053758Z buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6053952Z buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6054146Z buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6054410Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.6054478Z del arg0_1 2022-11-23T01:30:35.6054544Z del arg1_1 2022-11-23T01:30:35.6054641Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6054646Z 2022-11-23T01:30:35.6054650Z 2022-11-23T01:30:35.6054725Z if __name__ == "__main__": 2022-11-23T01:30:35.6054828Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6054950Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6055146Z arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6055345Z arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6055461Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6055466Z 2022-11-23T01:30:35.6055531Z ok (1.534s) 2022-11-23T01:30:35.6055834Z test_div8_cpu (__main__.CpuTests) ... [2022-11-23 01:23:54,281] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6056152Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6056369Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6056610Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6056888Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6057205Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6057590Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6057913Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6058288Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6058382Z 1162 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6058472Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6058561Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6058638Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6058729Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6058920Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6059012Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6059019Z 2022-11-23T01:30:35.6059109Z 1163 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6059197Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6059284Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6059371Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6059500Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.6059658Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6059749Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6059753Z 2022-11-23T01:30:35.6059844Z 1164 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6059931Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6060019Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6060106Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6060234Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.6060393Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6060483Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6060487Z 2022-11-23T01:30:35.6060573Z 1165 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6060659Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6060740Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.6060746Z 2022-11-23T01:30:35.6060830Z 1166 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6060914Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6060985Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.6060990Z 2022-11-23T01:30:35.6061077Z 1161 54 BUILD_TUPLE 5 2022-11-23T01:30:35.6061151Z 56 RETURN_VALUE 2022-11-23T01:30:35.6061214Z 2022-11-23T01:30:35.6061218Z 2022-11-23T01:30:35.6061535Z [2022-11-23 01:23:54,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1162 2022-11-23T01:30:35.6061750Z [2022-11-23 01:23:54,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6062054Z [2022-11-23 01:23:54,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6062303Z [2022-11-23 01:23:54,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.6062585Z [2022-11-23 01:23:54,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)] 2022-11-23T01:30:35.6062900Z [2022-11-23 01:23:54,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6063317Z [2022-11-23 01:23:54,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6063743Z [2022-11-23 01:23:54,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.6064053Z [2022-11-23 01:23:54,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1163 2022-11-23T01:30:35.6064297Z [2022-11-23 01:23:54,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6064626Z [2022-11-23 01:23:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6064897Z [2022-11-23 01:23:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6065243Z [2022-11-23 01:23:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)] 2022-11-23T01:30:35.6065597Z [2022-11-23 01:23:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6066009Z [2022-11-23 01:23:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:30:35.6066444Z [2022-11-23 01:23:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6066756Z [2022-11-23 01:23:54,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1164 2022-11-23T01:30:35.6067026Z [2022-11-23 01:23:54,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6067368Z [2022-11-23 01:23:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6067668Z [2022-11-23 01:23:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6068003Z [2022-11-23 01:23:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)] 2022-11-23T01:30:35.6068386Z [2022-11-23 01:23:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6068829Z [2022-11-23 01:23:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:30:35.6069295Z [2022-11-23 01:23:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6069605Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1165 2022-11-23T01:30:35.6069899Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6070226Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6070641Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6070954Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1166 2022-11-23T01:30:35.6071282Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6071646Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.6072062Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6072405Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1161 2022-11-23T01:30:35.6072781Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.6073023Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6073400Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6073645Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6073882Z [2022-11-23 01:23:54,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6074134Z [2022-11-23 01:23:54,308] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6074381Z [2022-11-23 01:23:54,314] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6074567Z [2022-11-23 01:23:54,315] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6074688Z __compiled_fn_155 .1389 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6074871Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None} 2022-11-23T01:30:35.6075057Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.6075241Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.6075353Z output, output, output, ((div, div_1, div_2),), {} 2022-11-23T01:30:35.6075359Z 2022-11-23T01:30:35.6075684Z [2022-11-23 01:23:54,315] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6075777Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6075866Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6075952Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6076031Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6076116Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6076204Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6076279Z 12 RETURN_VALUE 2022-11-23T01:30:35.6076284Z 2022-11-23T01:30:35.6076345Z 2022-11-23T01:30:35.6076667Z [2022-11-23 01:23:54,315] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6076776Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_155) 2022-11-23T01:30:35.6076850Z 2 CALL_FUNCTION 0 2022-11-23T01:30:35.6076978Z 4 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6077082Z 6 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6077171Z 8 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6077248Z 10 BINARY_SUBSCR 2022-11-23T01:30:35.6077348Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6077435Z 14 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6077497Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6077597Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6077684Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6077757Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6077849Z 24 LOAD_CONST 4 (10.24) 2022-11-23T01:30:35.6077981Z 26 LOAD_CONST 5 (10) 2022-11-23T01:30:35.6078067Z 28 BUILD_TUPLE 5 2022-11-23T01:30:35.6078141Z 30 RETURN_VALUE 2022-11-23T01:30:35.6078149Z 2022-11-23T01:30:35.6078197Z 2022-11-23T01:30:35.6078379Z [2022-11-23 01:23:54,316] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6078451Z - 2022-11-23T01:30:35.6078572Z local 'ex' EQUALS_MATCH 2022-11-23T01:30:35.6078636Z { 2022-11-23T01:30:35.6078806Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:35.6079123Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2', '___check_type_id(ex[0], 94427249894784)', '___check_type_id(ex[1], 94427249894784)', 'ex == (1024, 100)'], 2022-11-23T01:30:35.6079229Z 'obj_weakref': None 2022-11-23T01:30:35.6079451Z 'guarded_class': 2022-11-23T01:30:35.6079518Z } 2022-11-23T01:30:35.6079581Z 2022-11-23T01:30:35.6079650Z - 2022-11-23T01:30:35.6079780Z local 'ex[0]' CONSTANT_MATCH 2022-11-23T01:30:35.6079844Z { 2022-11-23T01:30:35.6079976Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.6080243Z 'code': ['___check_type_id(ex[0], 94427249894784)', 'ex[0] == 1024'], 2022-11-23T01:30:35.6080359Z 'obj_weakref': None 2022-11-23T01:30:35.6080579Z 'guarded_class': 2022-11-23T01:30:35.6080642Z } 2022-11-23T01:30:35.6080706Z 2022-11-23T01:30:35.6080774Z - 2022-11-23T01:30:35.6080889Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:35.6080953Z { 2022-11-23T01:30:35.6081094Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.6081279Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 100'], 2022-11-23T01:30:35.6081403Z 'obj_weakref': None 2022-11-23T01:30:35.6081619Z 'guarded_class': 2022-11-23T01:30:35.6081686Z } 2022-11-23T01:30:35.6081737Z 2022-11-23T01:30:35.6081805Z - 2022-11-23T01:30:35.6081936Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6082000Z { 2022-11-23T01:30:35.6082131Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6082298Z 'code': ['___check_obj_id(model, 140534659276448)'], 2022-11-23T01:30:35.6082415Z 'obj_weakref': None 2022-11-23T01:30:35.6082632Z 'guarded_class': 2022-11-23T01:30:35.6082697Z } 2022-11-23T01:30:35.6082759Z 2022-11-23T01:30:35.6082827Z - 2022-11-23T01:30:35.6082947Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6083008Z { 2022-11-23T01:30:35.6083146Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6083348Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6083499Z 'obj_weakref': None 2022-11-23T01:30:35.6083720Z 'guarded_class': 2022-11-23T01:30:35.6083783Z } 2022-11-23T01:30:35.6083845Z 2022-11-23T01:30:35.6083913Z - 2022-11-23T01:30:35.6084043Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6084094Z { 2022-11-23T01:30:35.6084212Z 'guard_types': None, 2022-11-23T01:30:35.6084316Z 'code': None, 2022-11-23T01:30:35.6084431Z 'obj_weakref': None 2022-11-23T01:30:35.6084549Z 'guarded_class': None 2022-11-23T01:30:35.6084611Z } 2022-11-23T01:30:35.6084672Z 2022-11-23T01:30:35.6085034Z [2022-11-23 01:23:54,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154 2022-11-23T01:30:35.6085462Z [2022-11-23 01:23:55,770] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3rcykxbr22hviahpp2pahfhco4zrxvgbfpvqte43b2ixijilnf.py 2022-11-23T01:30:35.6085727Z [2022-11-23 01:23:55,770] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154 2022-11-23T01:30:35.6085733Z 2022-11-23T01:30:35.6085827Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6085897Z import torch 2022-11-23T01:30:35.6085966Z import random 2022-11-23T01:30:35.6086082Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6086205Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6086209Z 2022-11-23T01:30:35.6086274Z aten = torch.ops.aten 2022-11-23T01:30:35.6086407Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6086500Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6086504Z 2022-11-23T01:30:35.6086511Z 2022-11-23T01:30:35.6086644Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6086847Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6086960Z extern "C" void kernel(long* __restrict__ out_ptr0, 2022-11-23T01:30:35.6087056Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.6087146Z long* __restrict__ out_ptr2) 2022-11-23T01:30:35.6087195Z { 2022-11-23T01:30:35.6087256Z { 2022-11-23T01:30:35.6087319Z { 2022-11-23T01:30:35.6087419Z auto tmp0 = static_cast(1024); 2022-11-23T01:30:35.6087518Z auto tmp1 = static_cast(100); 2022-11-23T01:30:35.6087601Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6087679Z out_ptr0[0] = tmp2; 2022-11-23T01:30:35.6087729Z } 2022-11-23T01:30:35.6087790Z } 2022-11-23T01:30:35.6087851Z { 2022-11-23T01:30:35.6087911Z { 2022-11-23T01:30:35.6088009Z auto tmp0 = static_cast(1024); 2022-11-23T01:30:35.6088107Z auto tmp1 = static_cast(100); 2022-11-23T01:30:35.6088340Z auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1); 2022-11-23T01:30:35.6088418Z out_ptr1[0] = tmp2; 2022-11-23T01:30:35.6088479Z } 2022-11-23T01:30:35.6088539Z } 2022-11-23T01:30:35.6088600Z { 2022-11-23T01:30:35.6088659Z { 2022-11-23T01:30:35.6088753Z auto tmp0 = static_cast(1024); 2022-11-23T01:30:35.6088837Z auto tmp1 = static_cast(100); 2022-11-23T01:30:35.6088919Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6088996Z out_ptr2[0] = tmp2; 2022-11-23T01:30:35.6089057Z } 2022-11-23T01:30:35.6089116Z } 2022-11-23T01:30:35.6089175Z } 2022-11-23T01:30:35.6089252Z ''') 2022-11-23T01:30:35.6089258Z 2022-11-23T01:30:35.6089262Z 2022-11-23T01:30:35.6089339Z async_compile.wait(globals()) 2022-11-23T01:30:35.6089414Z del async_compile 2022-11-23T01:30:35.6089419Z 2022-11-23T01:30:35.6089487Z def call(args): 2022-11-23T01:30:35.6089667Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6089884Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6090060Z buf2 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6090220Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.6090302Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.6090307Z 2022-11-23T01:30:35.6090311Z 2022-11-23T01:30:35.6090373Z if __name__ == "__main__": 2022-11-23T01:30:35.6090487Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6090606Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6090705Z print_performance(lambda: call([])) 2022-11-23T01:30:35.6090709Z 2022-11-23T01:30:35.6090774Z ok (1.492s) 2022-11-23T01:30:35.6091113Z test_div_prim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6091429Z [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6091645Z [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6091895Z [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6092158Z [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6092474Z [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6092817Z [2022-11-23 01:23:55,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6093144Z [2022-11-23 01:23:55,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6093518Z [2022-11-23 01:23:55,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6093613Z 1199 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6093704Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.6093795Z 4 LOAD_ATTR 2 (prims) 2022-11-23T01:30:35.6093886Z 6 LOAD_METHOD 3 (div) 2022-11-23T01:30:35.6093963Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6094051Z 10 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6094140Z 12 CALL_METHOD 2 2022-11-23T01:30:35.6094229Z 14 BUILD_TUPLE 1 2022-11-23T01:30:35.6094303Z 16 RETURN_VALUE 2022-11-23T01:30:35.6094364Z 2022-11-23T01:30:35.6094371Z 2022-11-23T01:30:35.6094684Z [2022-11-23 01:23:55,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199 2022-11-23T01:30:35.6094903Z [2022-11-23 01:23:55,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6095251Z [2022-11-23 01:23:55,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.6095542Z [2022-11-23 01:23:55,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:35.6095847Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6096100Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)] 2022-11-23T01:30:35.6096405Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()] 2022-11-23T01:30:35.6096721Z [2022-11-23 01:23:55,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6096960Z [2022-11-23 01:23:55,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.6097202Z [2022-11-23 01:23:55,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6097576Z [2022-11-23 01:23:55,785] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6097849Z [2022-11-23 01:23:55,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6098071Z [2022-11-23 01:23:55,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6098324Z [2022-11-23 01:23:55,786] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6098568Z [2022-11-23 01:23:55,790] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6098758Z [2022-11-23 01:23:55,790] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6098891Z __compiled_fn_156 .1395 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6098979Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6099062Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6099170Z call_function, div, prims.div, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6099251Z output, output, output, ((div,),), {} 2022-11-23T01:30:35.6099258Z 2022-11-23T01:30:35.6099588Z [2022-11-23 01:23:55,791] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6099680Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6099770Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6099854Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6099946Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6100029Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6100116Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6100178Z 12 RETURN_VALUE 2022-11-23T01:30:35.6100184Z 2022-11-23T01:30:35.6100244Z 2022-11-23T01:30:35.6100565Z [2022-11-23 01:23:55,791] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6100673Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_156) 2022-11-23T01:30:35.6100764Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6100851Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6100930Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6101016Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6101090Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6101163Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6101250Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6101350Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6101449Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6101536Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6101610Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6101682Z 24 BUILD_TUPLE 1 2022-11-23T01:30:35.6101757Z 26 RETURN_VALUE 2022-11-23T01:30:35.6101764Z 2022-11-23T01:30:35.6101823Z 2022-11-23T01:30:35.6102003Z [2022-11-23 01:23:55,792] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6102073Z - 2022-11-23T01:30:35.6102217Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6102283Z { 2022-11-23T01:30:35.6102410Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6102595Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6102712Z 'obj_weakref': None 2022-11-23T01:30:35.6102933Z 'guarded_class': 2022-11-23T01:30:35.6102997Z } 2022-11-23T01:30:35.6103059Z 2022-11-23T01:30:35.6103127Z - 2022-11-23T01:30:35.6103236Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6103300Z { 2022-11-23T01:30:35.6103441Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6103545Z 'code': None, 2022-11-23T01:30:35.6103791Z 'obj_weakref': 2022-11-23T01:30:35.6104043Z 'guarded_class': 2022-11-23T01:30:35.6104108Z } 2022-11-23T01:30:35.6104158Z 2022-11-23T01:30:35.6104227Z - 2022-11-23T01:30:35.6104347Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6104409Z { 2022-11-23T01:30:35.6104548Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6104651Z 'code': None, 2022-11-23T01:30:35.6104860Z 'obj_weakref': 2022-11-23T01:30:35.6105097Z 'guarded_class': 2022-11-23T01:30:35.6105160Z } 2022-11-23T01:30:35.6105222Z 2022-11-23T01:30:35.6105290Z - 2022-11-23T01:30:35.6105421Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6105483Z { 2022-11-23T01:30:35.6105613Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6105769Z 'code': ['___check_obj_id(model, 140534431038288)'], 2022-11-23T01:30:35.6105887Z 'obj_weakref': None 2022-11-23T01:30:35.6106113Z 'guarded_class': 2022-11-23T01:30:35.6106176Z } 2022-11-23T01:30:35.6106238Z 2022-11-23T01:30:35.6106306Z - 2022-11-23T01:30:35.6106425Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6106474Z { 2022-11-23T01:30:35.6106608Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6106822Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6106940Z 'obj_weakref': None 2022-11-23T01:30:35.6107159Z 'guarded_class': 2022-11-23T01:30:35.6107227Z } 2022-11-23T01:30:35.6107288Z 2022-11-23T01:30:35.6107343Z - 2022-11-23T01:30:35.6107479Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6107544Z { 2022-11-23T01:30:35.6107665Z 'guard_types': None, 2022-11-23T01:30:35.6107772Z 'code': None, 2022-11-23T01:30:35.6107888Z 'obj_weakref': None 2022-11-23T01:30:35.6108006Z 'guarded_class': None 2022-11-23T01:30:35.6108056Z } 2022-11-23T01:30:35.6108118Z 2022-11-23T01:30:35.6108375Z [2022-11-23 01:23:55,798] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155 2022-11-23T01:30:35.6108748Z [2022-11-23 01:23:57,544] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/em/cem4gkvxmnmdxxbainuyrzrqtcjjstoj267xkufq4hpdfnyebobo.py 2022-11-23T01:30:35.6109011Z [2022-11-23 01:23:57,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155 2022-11-23T01:30:35.6109281Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6109592Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6109807Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6110047Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6110323Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6110641Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6110987Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6111344Z [2022-11-23 01:23:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6111718Z [2022-11-23 01:23:57,550] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6111815Z 1199 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6111906Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.6111999Z 4 LOAD_ATTR 2 (prims) 2022-11-23T01:30:35.6112088Z 6 LOAD_METHOD 3 (div) 2022-11-23T01:30:35.6112165Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6112252Z 10 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6112344Z 12 CALL_METHOD 2 2022-11-23T01:30:35.6112435Z 14 BUILD_TUPLE 1 2022-11-23T01:30:35.6112513Z 16 RETURN_VALUE 2022-11-23T01:30:35.6112575Z 2022-11-23T01:30:35.6112580Z 2022-11-23T01:30:35.6112896Z [2022-11-23 01:23:57,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199 2022-11-23T01:30:35.6113098Z [2022-11-23 01:23:57,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6113462Z [2022-11-23 01:23:57,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.6113756Z [2022-11-23 01:23:57,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:35.6114059Z [2022-11-23 01:23:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6114316Z [2022-11-23 01:23:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)] 2022-11-23T01:30:35.6114595Z [2022-11-23 01:23:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()] 2022-11-23T01:30:35.6114907Z [2022-11-23 01:23:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6115144Z [2022-11-23 01:23:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.6115492Z [2022-11-23 01:23:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6115950Z [2022-11-23 01:23:57,558] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6116232Z [2022-11-23 01:23:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6116455Z [2022-11-23 01:23:57,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6116711Z [2022-11-23 01:23:57,559] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6116958Z [2022-11-23 01:23:57,564] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6117149Z [2022-11-23 01:23:57,565] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6117283Z __compiled_fn_157 .1401 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6117372Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6117459Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6117568Z call_function, div, prims.div, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6117678Z output, output, output, ((div,),), {} 2022-11-23T01:30:35.6117684Z 2022-11-23T01:30:35.6118012Z [2022-11-23 01:23:57,565] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6118105Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6118197Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6118283Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6118373Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6118458Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6118546Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6118609Z 12 RETURN_VALUE 2022-11-23T01:30:35.6118614Z 2022-11-23T01:30:35.6118676Z 2022-11-23T01:30:35.6119001Z [2022-11-23 01:23:57,565] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6119112Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_157) 2022-11-23T01:30:35.6119201Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6119291Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6119368Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6119443Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6119532Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6119606Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6119700Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6119804Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6119905Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6120064Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6120129Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6120216Z 24 BUILD_TUPLE 1 2022-11-23T01:30:35.6120293Z 26 RETURN_VALUE 2022-11-23T01:30:35.6120298Z 2022-11-23T01:30:35.6120359Z 2022-11-23T01:30:35.6120542Z [2022-11-23 01:23:57,566] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6120616Z - 2022-11-23T01:30:35.6120736Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6120787Z { 2022-11-23T01:30:35.6120926Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6121112Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6121234Z 'obj_weakref': None 2022-11-23T01:30:35.6121458Z 'guarded_class': 2022-11-23T01:30:35.6121523Z } 2022-11-23T01:30:35.6121587Z 2022-11-23T01:30:35.6121655Z - 2022-11-23T01:30:35.6121767Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6121829Z { 2022-11-23T01:30:35.6121971Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6122080Z 'code': None, 2022-11-23T01:30:35.6122289Z 'obj_weakref': 2022-11-23T01:30:35.6122574Z 'guarded_class': 2022-11-23T01:30:35.6122641Z } 2022-11-23T01:30:35.6122691Z 2022-11-23T01:30:35.6122760Z - 2022-11-23T01:30:35.6122882Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6122945Z { 2022-11-23T01:30:35.6123085Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6123190Z 'code': None, 2022-11-23T01:30:35.6123394Z 'obj_weakref': 2022-11-23T01:30:35.6123627Z 'guarded_class': 2022-11-23T01:30:35.6123690Z } 2022-11-23T01:30:35.6123796Z 2022-11-23T01:30:35.6123865Z - 2022-11-23T01:30:35.6123995Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6124059Z { 2022-11-23T01:30:35.6124182Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6124349Z 'code': ['___check_obj_id(model, 140534431038288)'], 2022-11-23T01:30:35.6124467Z 'obj_weakref': None 2022-11-23T01:30:35.6124695Z 'guarded_class': 2022-11-23T01:30:35.6124854Z } 2022-11-23T01:30:35.6124917Z 2022-11-23T01:30:35.6124988Z - 2022-11-23T01:30:35.6125096Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6125159Z { 2022-11-23T01:30:35.6125294Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6125510Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6125627Z 'obj_weakref': None 2022-11-23T01:30:35.6125850Z 'guarded_class': 2022-11-23T01:30:35.6125913Z } 2022-11-23T01:30:35.6125976Z 2022-11-23T01:30:35.6126035Z - 2022-11-23T01:30:35.6126167Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6126230Z { 2022-11-23T01:30:35.6126349Z 'guard_types': None, 2022-11-23T01:30:35.6126452Z 'code': None, 2022-11-23T01:30:35.6126569Z 'obj_weakref': None 2022-11-23T01:30:35.6126675Z 'guarded_class': None 2022-11-23T01:30:35.6126738Z } 2022-11-23T01:30:35.6126799Z 2022-11-23T01:30:35.6127057Z [2022-11-23 01:23:57,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156 2022-11-23T01:30:35.6127420Z [2022-11-23 01:23:59,144] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cd/ccdk636dazog25dv5zbsqnisrnf5otdgfv25hmd3xtgp7y4szuhq.py 2022-11-23T01:30:35.6127686Z [2022-11-23 01:23:59,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156 2022-11-23T01:30:35.6127692Z 2022-11-23T01:30:35.6127786Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6127855Z import torch 2022-11-23T01:30:35.6127911Z import random 2022-11-23T01:30:35.6128024Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6128144Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6128149Z 2022-11-23T01:30:35.6128226Z aten = torch.ops.aten 2022-11-23T01:30:35.6128359Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6128450Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6128454Z 2022-11-23T01:30:35.6128458Z 2022-11-23T01:30:35.6128591Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6128794Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6128900Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6129005Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6129103Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6129214Z { 2022-11-23T01:30:35.6129314Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6129375Z { 2022-11-23T01:30:35.6129450Z #pragma omp for 2022-11-23T01:30:35.6129520Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.6129583Z { 2022-11-23T01:30:35.6129733Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6129863Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.6129947Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6130037Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6130100Z } 2022-11-23T01:30:35.6130181Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6130264Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:35.6130364Z { 2022-11-23T01:30:35.6130447Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6130528Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.6130610Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6130690Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6130738Z } 2022-11-23T01:30:35.6130799Z } 2022-11-23T01:30:35.6130860Z } 2022-11-23T01:30:35.6130941Z ''') 2022-11-23T01:30:35.6130946Z 2022-11-23T01:30:35.6130950Z 2022-11-23T01:30:35.6131037Z async_compile.wait(globals()) 2022-11-23T01:30:35.6131108Z del async_compile 2022-11-23T01:30:35.6131113Z 2022-11-23T01:30:35.6131182Z def call(args): 2022-11-23T01:30:35.6131255Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6131313Z args.clear() 2022-11-23T01:30:35.6131508Z buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6131670Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6131741Z del arg0_1 2022-11-23T01:30:35.6131808Z del arg1_1 2022-11-23T01:30:35.6131880Z return (buf0, ) 2022-11-23T01:30:35.6131885Z 2022-11-23T01:30:35.6131889Z 2022-11-23T01:30:35.6131966Z if __name__ == "__main__": 2022-11-23T01:30:35.6132067Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6132188Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6132384Z arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6132576Z arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6132689Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6132697Z 2022-11-23T01:30:35.6132701Z 2022-11-23T01:30:35.6132794Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6132861Z import torch 2022-11-23T01:30:35.6132930Z import random 2022-11-23T01:30:35.6133031Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6133150Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6133156Z 2022-11-23T01:30:35.6133233Z aten = torch.ops.aten 2022-11-23T01:30:35.6133367Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6133458Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6133463Z 2022-11-23T01:30:35.6133467Z 2022-11-23T01:30:35.6133598Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6133799Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6133914Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6134005Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.6134101Z long* __restrict__ out_ptr0) 2022-11-23T01:30:35.6134161Z { 2022-11-23T01:30:35.6134258Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6134319Z { 2022-11-23T01:30:35.6134395Z #pragma omp for 2022-11-23T01:30:35.6134477Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:30:35.6134529Z { 2022-11-23T01:30:35.6134594Z { 2022-11-23T01:30:35.6134658Z { 2022-11-23T01:30:35.6134781Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6134872Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.6134961Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6135043Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6135095Z } 2022-11-23T01:30:35.6135158Z } 2022-11-23T01:30:35.6135219Z } 2022-11-23T01:30:35.6135281Z } 2022-11-23T01:30:35.6135341Z } 2022-11-23T01:30:35.6135418Z ''') 2022-11-23T01:30:35.6135423Z 2022-11-23T01:30:35.6135427Z 2022-11-23T01:30:35.6135514Z async_compile.wait(globals()) 2022-11-23T01:30:35.6135572Z del async_compile 2022-11-23T01:30:35.6135577Z 2022-11-23T01:30:35.6135646Z def call(args): 2022-11-23T01:30:35.6135720Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6135790Z args.clear() 2022-11-23T01:30:35.6136008Z buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6136172Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6136240Z del arg0_1 2022-11-23T01:30:35.6136294Z del arg1_1 2022-11-23T01:30:35.6136364Z return (buf0, ) 2022-11-23T01:30:35.6136369Z 2022-11-23T01:30:35.6136373Z 2022-11-23T01:30:35.6136447Z if __name__ == "__main__": 2022-11-23T01:30:35.6136560Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6136682Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6136872Z arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6137057Z arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6137170Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6137175Z 2022-11-23T01:30:35.6137229Z ok (3.374s) 2022-11-23T01:30:35.6137544Z test_div_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:59,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6137861Z [2022-11-23 01:23:59,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6138078Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6138332Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6138609Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6138929Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6139275Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6139601Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6139978Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6140060Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6140149Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6140238Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6140327Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6140417Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6140577Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6140671Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6140676Z 2022-11-23T01:30:35.6140765Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6140868Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6140958Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6141042Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6141183Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.6141340Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6141430Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6141434Z 2022-11-23T01:30:35.6141525Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6141600Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6141687Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6141773Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6141911Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.6142131Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6142221Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6142228Z 2022-11-23T01:30:35.6142314Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6142400Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6142471Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.6142475Z 2022-11-23T01:30:35.6142560Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6142644Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6142727Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.6142732Z 2022-11-23T01:30:35.6142821Z 1173 54 BUILD_TUPLE 5 2022-11-23T01:30:35.6142897Z 56 RETURN_VALUE 2022-11-23T01:30:35.6142958Z 2022-11-23T01:30:35.6142963Z 2022-11-23T01:30:35.6143279Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174 2022-11-23T01:30:35.6143487Z [2022-11-23 01:23:59,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6143795Z [2022-11-23 01:23:59,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6144041Z [2022-11-23 01:23:59,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.6144314Z [2022-11-23 01:23:59,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6144622Z [2022-11-23 01:23:59,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6144994Z [2022-11-23 01:23:59,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6145399Z [2022-11-23 01:23:59,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.6145713Z [2022-11-23 01:23:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175 2022-11-23T01:30:35.6145959Z [2022-11-23 01:23:59,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6146283Z [2022-11-23 01:23:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6146553Z [2022-11-23 01:23:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6146838Z [2022-11-23 01:23:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6147211Z [2022-11-23 01:23:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6147604Z [2022-11-23 01:23:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6148023Z [2022-11-23 01:23:59,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6148335Z [2022-11-23 01:23:59,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176 2022-11-23T01:30:35.6148608Z [2022-11-23 01:23:59,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6149010Z [2022-11-23 01:23:59,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6149310Z [2022-11-23 01:23:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6149638Z [2022-11-23 01:23:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6150005Z [2022-11-23 01:23:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6150428Z [2022-11-23 01:23:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6150886Z [2022-11-23 01:23:59,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6151199Z [2022-11-23 01:23:59,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177 2022-11-23T01:30:35.6151477Z [2022-11-23 01:23:59,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6151794Z [2022-11-23 01:23:59,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6152159Z [2022-11-23 01:23:59,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6152476Z [2022-11-23 01:23:59,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178 2022-11-23T01:30:35.6152792Z [2022-11-23 01:23:59,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6153137Z [2022-11-23 01:23:59,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6153532Z [2022-11-23 01:23:59,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6153844Z [2022-11-23 01:23:59,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173 2022-11-23T01:30:35.6154231Z [2022-11-23 01:23:59,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6154475Z [2022-11-23 01:23:59,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6154852Z [2022-11-23 01:23:59,180] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6155096Z [2022-11-23 01:23:59,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6155314Z [2022-11-23 01:23:59,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6155570Z [2022-11-23 01:23:59,182] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6155846Z [2022-11-23 01:23:59,193] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6156037Z [2022-11-23 01:23:59,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6156173Z __compiled_fn_158 .1407 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6156262Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6156347Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6156531Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.6156708Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.6156895Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.6157083Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6157277Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6157411Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.6157418Z 2022-11-23T01:30:35.6157749Z [2022-11-23 01:23:59,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6157843Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6157934Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6158007Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6158099Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6158182Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6158272Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6158348Z 12 RETURN_VALUE 2022-11-23T01:30:35.6158353Z 2022-11-23T01:30:35.6158414Z 2022-11-23T01:30:35.6158735Z [2022-11-23 01:23:59,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6158845Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_158) 2022-11-23T01:30:35.6158925Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6159018Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6159095Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6159182Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6159272Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6159346Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6159433Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6159523Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6159625Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6159712Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6159792Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6159893Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6160077Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6160156Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6160275Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6160363Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6160437Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6160536Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6160626Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6160700Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6160798Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6160884Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.6160947Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6161033Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.6161108Z 50 RETURN_VALUE 2022-11-23T01:30:35.6161114Z 2022-11-23T01:30:35.6161173Z 2022-11-23T01:30:35.6161389Z [2022-11-23 01:23:59,195] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6161459Z - 2022-11-23T01:30:35.6161577Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6161631Z { 2022-11-23T01:30:35.6161770Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6161956Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6162075Z 'obj_weakref': None 2022-11-23T01:30:35.6162299Z 'guarded_class': 2022-11-23T01:30:35.6162364Z } 2022-11-23T01:30:35.6162428Z 2022-11-23T01:30:35.6162484Z - 2022-11-23T01:30:35.6162606Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6162671Z { 2022-11-23T01:30:35.6162814Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6162919Z 'code': None, 2022-11-23T01:30:35.6163133Z 'obj_weakref': 2022-11-23T01:30:35.6163391Z 'guarded_class': 2022-11-23T01:30:35.6163442Z } 2022-11-23T01:30:35.6163505Z 2022-11-23T01:30:35.6163574Z - 2022-11-23T01:30:35.6163696Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6163759Z { 2022-11-23T01:30:35.6163898Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6164002Z 'code': None, 2022-11-23T01:30:35.6164195Z 'obj_weakref': 2022-11-23T01:30:35.6164443Z 'guarded_class': 2022-11-23T01:30:35.6164506Z } 2022-11-23T01:30:35.6164567Z 2022-11-23T01:30:35.6164637Z - 2022-11-23T01:30:35.6164869Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6164935Z { 2022-11-23T01:30:35.6165058Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6165234Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:35.6165352Z 'obj_weakref': None 2022-11-23T01:30:35.6165581Z 'guarded_class': 2022-11-23T01:30:35.6165644Z } 2022-11-23T01:30:35.6165710Z 2022-11-23T01:30:35.6165779Z - 2022-11-23T01:30:35.6165889Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6165951Z { 2022-11-23T01:30:35.6166086Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6166300Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6166417Z 'obj_weakref': None 2022-11-23T01:30:35.6166638Z 'guarded_class': 2022-11-23T01:30:35.6166704Z } 2022-11-23T01:30:35.6166753Z 2022-11-23T01:30:35.6166821Z - 2022-11-23T01:30:35.6166952Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6167060Z { 2022-11-23T01:30:35.6167179Z 'guard_types': None, 2022-11-23T01:30:35.6167285Z 'code': None, 2022-11-23T01:30:35.6167387Z 'obj_weakref': None 2022-11-23T01:30:35.6167505Z 'guarded_class': None 2022-11-23T01:30:35.6167568Z } 2022-11-23T01:30:35.6167635Z 2022-11-23T01:30:35.6167895Z [2022-11-23 01:23:59,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157 2022-11-23T01:30:35.6168262Z [2022-11-23 01:24:00,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j3/cj3avz3haifu5xmlgjkknwlfjifzer7lq3dxsazmcoeedw3bataa.py 2022-11-23T01:30:35.6168525Z [2022-11-23 01:24:00,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157 2022-11-23T01:30:35.6168808Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6169124Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6169329Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6169581Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6169859Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6170176Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6170520Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6170845Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6171214Z [2022-11-23 01:24:00,724] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6171308Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6171398Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6171474Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6171563Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6171655Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6171816Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6171909Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6171915Z 2022-11-23T01:30:35.6172005Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6172096Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6172184Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6172258Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6172400Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.6172560Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6172650Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6172655Z 2022-11-23T01:30:35.6172744Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6172830Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6172917Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6172990Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6173132Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.6173289Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6173410Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6173415Z 2022-11-23T01:30:35.6173502Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6173587Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6173669Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.6173674Z 2022-11-23T01:30:35.6173760Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6173830Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6173915Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.6173919Z 2022-11-23T01:30:35.6174005Z 1173 54 BUILD_TUPLE 5 2022-11-23T01:30:35.6174082Z 56 RETURN_VALUE 2022-11-23T01:30:35.6174142Z 2022-11-23T01:30:35.6174146Z 2022-11-23T01:30:35.6174462Z [2022-11-23 01:24:00,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174 2022-11-23T01:30:35.6174709Z [2022-11-23 01:24:00,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6175010Z [2022-11-23 01:24:00,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6175256Z [2022-11-23 01:24:00,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.6175516Z [2022-11-23 01:24:00,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6175825Z [2022-11-23 01:24:00,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6176197Z [2022-11-23 01:24:00,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6176604Z [2022-11-23 01:24:00,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.6176917Z [2022-11-23 01:24:00,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175 2022-11-23T01:30:35.6177157Z [2022-11-23 01:24:00,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6177485Z [2022-11-23 01:24:00,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6177755Z [2022-11-23 01:24:00,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6178054Z [2022-11-23 01:24:00,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6178396Z [2022-11-23 01:24:00,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6178789Z [2022-11-23 01:24:00,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6179213Z [2022-11-23 01:24:00,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6179514Z [2022-11-23 01:24:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176 2022-11-23T01:30:35.6179782Z [2022-11-23 01:24:00,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6180170Z [2022-11-23 01:24:00,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6180478Z [2022-11-23 01:24:00,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6180808Z [2022-11-23 01:24:00,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6181175Z [2022-11-23 01:24:00,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6181599Z [2022-11-23 01:24:00,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6182079Z [2022-11-23 01:24:00,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6182392Z [2022-11-23 01:24:00,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177 2022-11-23T01:30:35.6182682Z [2022-11-23 01:24:00,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6182996Z [2022-11-23 01:24:00,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6183357Z [2022-11-23 01:24:00,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6183673Z [2022-11-23 01:24:00,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178 2022-11-23T01:30:35.6183975Z [2022-11-23 01:24:00,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6184318Z [2022-11-23 01:24:00,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6184709Z [2022-11-23 01:24:00,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6185018Z [2022-11-23 01:24:00,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173 2022-11-23T01:30:35.6185369Z [2022-11-23 01:24:00,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6185614Z [2022-11-23 01:24:00,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6185993Z [2022-11-23 01:24:00,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6186236Z [2022-11-23 01:24:00,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6186468Z [2022-11-23 01:24:00,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6186724Z [2022-11-23 01:24:00,756] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6186973Z [2022-11-23 01:24:00,766] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6187176Z [2022-11-23 01:24:00,766] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6187313Z __compiled_fn_159 .1413 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6187401Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6187486Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6187670Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.6187860Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.6188045Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.6188221Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6188411Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6188570Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.6188575Z 2022-11-23T01:30:35.6188902Z [2022-11-23 01:24:00,766] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6188997Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6189086Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6189172Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6189263Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6189346Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6189422Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6189496Z 12 RETURN_VALUE 2022-11-23T01:30:35.6189501Z 2022-11-23T01:30:35.6189561Z 2022-11-23T01:30:35.6189884Z [2022-11-23 01:24:00,767] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6189993Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_159) 2022-11-23T01:30:35.6190084Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6190173Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6190236Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6190323Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6190409Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6190485Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6190573Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6190675Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6190776Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6190851Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6190926Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6191024Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6191113Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6191187Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6191288Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6191373Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6191447Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6191532Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6191619Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6191693Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6191789Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6191874Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.6191947Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6192031Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.6192092Z 50 RETURN_VALUE 2022-11-23T01:30:35.6192098Z 2022-11-23T01:30:35.6192158Z 2022-11-23T01:30:35.6192342Z [2022-11-23 01:24:00,767] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6192411Z - 2022-11-23T01:30:35.6192529Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6192622Z { 2022-11-23T01:30:35.6192763Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6192937Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6193055Z 'obj_weakref': None 2022-11-23T01:30:35.6193278Z 'guarded_class': 2022-11-23T01:30:35.6193342Z } 2022-11-23T01:30:35.6193406Z 2022-11-23T01:30:35.6193474Z - 2022-11-23T01:30:35.6193597Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6193647Z { 2022-11-23T01:30:35.6193786Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6193891Z 'code': None, 2022-11-23T01:30:35.6194102Z 'obj_weakref': 2022-11-23T01:30:35.6194383Z 'guarded_class': 2022-11-23T01:30:35.6194446Z } 2022-11-23T01:30:35.6194507Z 2022-11-23T01:30:35.6194563Z - 2022-11-23T01:30:35.6194684Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6194747Z { 2022-11-23T01:30:35.6194885Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6194994Z 'code': None, 2022-11-23T01:30:35.6195198Z 'obj_weakref': 2022-11-23T01:30:35.6195445Z 'guarded_class': 2022-11-23T01:30:35.6195495Z } 2022-11-23T01:30:35.6195556Z 2022-11-23T01:30:35.6195625Z - 2022-11-23T01:30:35.6195755Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6195819Z { 2022-11-23T01:30:35.6195950Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6196120Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:35.6196225Z 'obj_weakref': None 2022-11-23T01:30:35.6196450Z 'guarded_class': 2022-11-23T01:30:35.6196511Z } 2022-11-23T01:30:35.6196573Z 2022-11-23T01:30:35.6196644Z - 2022-11-23T01:30:35.6196764Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6196825Z { 2022-11-23T01:30:35.6196948Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6197163Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6197278Z 'obj_weakref': None 2022-11-23T01:30:35.6197501Z 'guarded_class': 2022-11-23T01:30:35.6197566Z } 2022-11-23T01:30:35.6197628Z 2022-11-23T01:30:35.6197696Z - 2022-11-23T01:30:35.6197816Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6197880Z { 2022-11-23T01:30:35.6198001Z 'guard_types': None, 2022-11-23T01:30:35.6198107Z 'code': None, 2022-11-23T01:30:35.6198223Z 'obj_weakref': None 2022-11-23T01:30:35.6198341Z 'guarded_class': None 2022-11-23T01:30:35.6198403Z } 2022-11-23T01:30:35.6198453Z 2022-11-23T01:30:35.6198713Z [2022-11-23 01:24:00,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158 2022-11-23T01:30:35.6199082Z [2022-11-23 01:24:02,239] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j2/cj2yrt25ehhgkvfovgbtvv6symdjagdkahim5upbfb7ax5igv6k6.py 2022-11-23T01:30:35.6199345Z [2022-11-23 01:24:02,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158 2022-11-23T01:30:35.6199583Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6199922Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6200219Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6200474Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6200739Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6201076Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6201424Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6201784Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6202161Z [2022-11-23 01:24:02,245] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6202258Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6202348Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6202437Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6202526Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6202617Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6202764Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6202858Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6202866Z 2022-11-23T01:30:35.6202957Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6203049Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6203137Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6203223Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6203364Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.6203509Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6203600Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6203605Z 2022-11-23T01:30:35.6203696Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6203784Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6203872Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6203960Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6204104Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.6204263Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6204343Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6204347Z 2022-11-23T01:30:35.6204434Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6204520Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6204604Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.6204609Z 2022-11-23T01:30:35.6204694Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6204906Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6204993Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.6204998Z 2022-11-23T01:30:35.6205086Z 1173 54 BUILD_TUPLE 5 2022-11-23T01:30:35.6205149Z 56 RETURN_VALUE 2022-11-23T01:30:35.6205209Z 2022-11-23T01:30:35.6205214Z 2022-11-23T01:30:35.6205537Z [2022-11-23 01:24:02,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174 2022-11-23T01:30:35.6205803Z [2022-11-23 01:24:02,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6206114Z [2022-11-23 01:24:02,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6206365Z [2022-11-23 01:24:02,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.6206638Z [2022-11-23 01:24:02,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6206945Z [2022-11-23 01:24:02,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6207318Z [2022-11-23 01:24:02,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6207758Z [2022-11-23 01:24:02,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.6208058Z [2022-11-23 01:24:02,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175 2022-11-23T01:30:35.6208303Z [2022-11-23 01:24:02,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6208629Z [2022-11-23 01:24:02,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6208899Z [2022-11-23 01:24:02,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6209200Z [2022-11-23 01:24:02,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6209546Z [2022-11-23 01:24:02,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6209939Z [2022-11-23 01:24:02,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6210361Z [2022-11-23 01:24:02,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6210672Z [2022-11-23 01:24:02,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176 2022-11-23T01:30:35.6210939Z [2022-11-23 01:24:02,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6211297Z [2022-11-23 01:24:02,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6211596Z [2022-11-23 01:24:02,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6211914Z [2022-11-23 01:24:02,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6212280Z [2022-11-23 01:24:02,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6212702Z [2022-11-23 01:24:02,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6213188Z [2022-11-23 01:24:02,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6213500Z [2022-11-23 01:24:02,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177 2022-11-23T01:30:35.6213794Z [2022-11-23 01:24:02,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6214112Z [2022-11-23 01:24:02,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6214479Z [2022-11-23 01:24:02,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6214843Z [2022-11-23 01:24:02,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178 2022-11-23T01:30:35.6215160Z [2022-11-23 01:24:02,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6215501Z [2022-11-23 01:24:02,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6215901Z [2022-11-23 01:24:02,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6216207Z [2022-11-23 01:24:02,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173 2022-11-23T01:30:35.6216548Z [2022-11-23 01:24:02,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6216793Z [2022-11-23 01:24:02,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6217174Z [2022-11-23 01:24:02,273] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6217417Z [2022-11-23 01:24:02,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6217647Z [2022-11-23 01:24:02,273] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6217899Z [2022-11-23 01:24:02,275] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6218149Z [2022-11-23 01:24:02,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6218339Z [2022-11-23 01:24:02,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6218472Z __compiled_fn_160 .1419 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6218549Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6218636Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6218822Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.6219012Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.6219199Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.6219388Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6219583Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6219716Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.6219721Z 2022-11-23T01:30:35.6220062Z [2022-11-23 01:24:02,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6220158Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6220248Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6220334Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6220426Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6220510Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6220598Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6220673Z 12 RETURN_VALUE 2022-11-23T01:30:35.6220678Z 2022-11-23T01:30:35.6220725Z 2022-11-23T01:30:35.6221051Z [2022-11-23 01:24:02,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6221189Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_160) 2022-11-23T01:30:35.6221281Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6221369Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6221444Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6221532Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6221606Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6221686Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6221774Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6221878Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6221978Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6222064Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6222138Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6222236Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6222313Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6222387Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6222488Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6222576Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6222648Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6222748Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6222833Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6222894Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6222992Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6223077Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.6223150Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6223235Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.6223307Z 50 RETURN_VALUE 2022-11-23T01:30:35.6223312Z 2022-11-23T01:30:35.6223374Z 2022-11-23T01:30:35.6223544Z [2022-11-23 01:24:02,284] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6223614Z - 2022-11-23T01:30:35.6223732Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6223797Z { 2022-11-23T01:30:35.6223935Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6224119Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6224236Z 'obj_weakref': None 2022-11-23T01:30:35.6224448Z 'guarded_class': 2022-11-23T01:30:35.6224513Z } 2022-11-23T01:30:35.6224575Z 2022-11-23T01:30:35.6224644Z - 2022-11-23T01:30:35.6224765Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6224827Z { 2022-11-23T01:30:35.6224967Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6225060Z 'code': None, 2022-11-23T01:30:35.6225269Z 'obj_weakref': 2022-11-23T01:30:35.6225551Z 'guarded_class': 2022-11-23T01:30:35.6225616Z } 2022-11-23T01:30:35.6225678Z 2022-11-23T01:30:35.6225746Z - 2022-11-23T01:30:35.6225869Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6225918Z { 2022-11-23T01:30:35.6226057Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6226164Z 'code': None, 2022-11-23T01:30:35.6226371Z 'obj_weakref': 2022-11-23T01:30:35.6226622Z 'guarded_class': 2022-11-23T01:30:35.6226685Z } 2022-11-23T01:30:35.6226747Z 2022-11-23T01:30:35.6226802Z - 2022-11-23T01:30:35.6226934Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6227027Z { 2022-11-23T01:30:35.6227159Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6227327Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:35.6227444Z 'obj_weakref': None 2022-11-23T01:30:35.6227671Z 'guarded_class': 2022-11-23T01:30:35.6227721Z } 2022-11-23T01:30:35.6227784Z 2022-11-23T01:30:35.6227852Z - 2022-11-23T01:30:35.6227971Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6228033Z { 2022-11-23T01:30:35.6228166Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6228385Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6228491Z 'obj_weakref': None 2022-11-23T01:30:35.6228712Z 'guarded_class': 2022-11-23T01:30:35.6228779Z } 2022-11-23T01:30:35.6228843Z 2022-11-23T01:30:35.6228911Z - 2022-11-23T01:30:35.6229042Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6229104Z { 2022-11-23T01:30:35.6229210Z 'guard_types': None, 2022-11-23T01:30:35.6229313Z 'code': None, 2022-11-23T01:30:35.6229429Z 'obj_weakref': None 2022-11-23T01:30:35.6229548Z 'guarded_class': None 2022-11-23T01:30:35.6229611Z } 2022-11-23T01:30:35.6229672Z 2022-11-23T01:30:35.6229933Z [2022-11-23 01:24:02,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159 2022-11-23T01:30:35.6229938Z 2022-11-23T01:30:35.6230019Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6230087Z import torch 2022-11-23T01:30:35.6230155Z import random 2022-11-23T01:30:35.6230269Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6230393Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6230398Z 2022-11-23T01:30:35.6230475Z aten = torch.ops.aten 2022-11-23T01:30:35.6230610Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6230688Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6230706Z 2022-11-23T01:30:35.6230710Z 2022-11-23T01:30:35.6230829Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6231033Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6231150Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6231250Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6231348Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6231445Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.6231537Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.6231616Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.6231710Z float* __restrict__ out_ptr4) 2022-11-23T01:30:35.6231772Z { 2022-11-23T01:30:35.6231868Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6231956Z { 2022-11-23T01:30:35.6232033Z #pragma omp for 2022-11-23T01:30:35.6232115Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.6232166Z { 2022-11-23T01:30:35.6232314Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6232435Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:35.6232523Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6232609Z auto tmp3 = tmp2.floor(); 2022-11-23T01:30:35.6232691Z auto tmp4 = tmp2.trunc(); 2022-11-23T01:30:35.6232781Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6232857Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6232943Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.6233062Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:30:35.6233149Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:30:35.6233213Z } 2022-11-23T01:30:35.6233309Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6233393Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.6233442Z { 2022-11-23T01:30:35.6233525Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6233605Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:35.6233687Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6233780Z auto tmp3 = std::floor(tmp2); 2022-11-23T01:30:35.6233871Z auto tmp4 = std::trunc(tmp2); 2022-11-23T01:30:35.6233950Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6234014Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.6234091Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:35.6234166Z out_ptr3[i0] = tmp2; 2022-11-23T01:30:35.6234241Z out_ptr4[i0] = tmp3; 2022-11-23T01:30:35.6234302Z } 2022-11-23T01:30:35.6234366Z } 2022-11-23T01:30:35.6234425Z } 2022-11-23T01:30:35.6234500Z ''') 2022-11-23T01:30:35.6234505Z 2022-11-23T01:30:35.6234509Z 2022-11-23T01:30:35.6234598Z async_compile.wait(globals()) 2022-11-23T01:30:35.6234669Z del async_compile 2022-11-23T01:30:35.6234674Z 2022-11-23T01:30:35.6234743Z def call(args): 2022-11-23T01:30:35.6234818Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6234887Z args.clear() 2022-11-23T01:30:35.6235080Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6235258Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6235450Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6235635Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6235817Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6236080Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.6236153Z del arg0_1 2022-11-23T01:30:35.6236218Z del arg1_1 2022-11-23T01:30:35.6236313Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6236318Z 2022-11-23T01:30:35.6236322Z 2022-11-23T01:30:35.6236397Z if __name__ == "__main__": 2022-11-23T01:30:35.6236498Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6236621Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6236813Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6236994Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6237106Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6237111Z 2022-11-23T01:30:35.6237115Z 2022-11-23T01:30:35.6237207Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6237285Z import torch 2022-11-23T01:30:35.6237354Z import random 2022-11-23T01:30:35.6237455Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6237609Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6237614Z 2022-11-23T01:30:35.6237691Z aten = torch.ops.aten 2022-11-23T01:30:35.6237825Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6237914Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6237919Z 2022-11-23T01:30:35.6237924Z 2022-11-23T01:30:35.6238055Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6238259Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6238375Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6238465Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6238563Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6238686Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.6238777Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.6238872Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.6238965Z float* __restrict__ out_ptr4) 2022-11-23T01:30:35.6239025Z { 2022-11-23T01:30:35.6239110Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6239172Z { 2022-11-23T01:30:35.6239247Z #pragma omp for 2022-11-23T01:30:35.6239327Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.6239388Z { 2022-11-23T01:30:35.6239509Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:30:35.6239639Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.6239710Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6239796Z auto tmp3 = tmp2.floor(); 2022-11-23T01:30:35.6239877Z auto tmp4 = tmp2.trunc(); 2022-11-23T01:30:35.6239967Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6240154Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6240243Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.6240332Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:30:35.6240457Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:30:35.6240520Z } 2022-11-23T01:30:35.6240611Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6240693Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.6240755Z { 2022-11-23T01:30:35.6240837Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:35.6240918Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.6240987Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6241082Z auto tmp3 = std::floor(tmp2); 2022-11-23T01:30:35.6241173Z auto tmp4 = std::trunc(tmp2); 2022-11-23T01:30:35.6241252Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6241329Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.6241408Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:35.6241484Z out_ptr3[i0] = tmp2; 2022-11-23T01:30:35.6241547Z out_ptr4[i0] = tmp3; 2022-11-23T01:30:35.6241607Z } 2022-11-23T01:30:35.6241670Z } 2022-11-23T01:30:35.6241731Z } 2022-11-23T01:30:35.6241813Z ''') 2022-11-23T01:30:35.6241819Z 2022-11-23T01:30:35.6241823Z 2022-11-23T01:30:35.6241913Z async_compile.wait(globals()) 2022-11-23T01:30:35.6241984Z del async_compile 2022-11-23T01:30:35.6241989Z 2022-11-23T01:30:35.6242045Z def call(args): 2022-11-23T01:30:35.6242121Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6242190Z args.clear() 2022-11-23T01:30:35.6242383Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6242571Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6242755Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6242938Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6243124Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6243438Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.6243509Z del arg0_1 2022-11-23T01:30:35.6243576Z del arg1_1 2022-11-23T01:30:35.6243674Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6243679Z 2022-11-23T01:30:35.6243683Z 2022-11-23T01:30:35.6243759Z if __name__ == "__main__": 2022-11-23T01:30:35.6243873Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6243994Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6244179Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6244356Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6244502Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6244507Z 2022-11-23T01:30:35.6244987Z [2022-11-23 01:24:03,779] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/od/codlnuj56ysnl27knjxwzbt6ba2knrjnw6ms233nsxcgr6tb2gbk.py 2022-11-23T01:30:35.6245255Z [2022-11-23 01:24:03,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159 2022-11-23T01:30:35.6245492Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6245808Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6246023Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6246274Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6246553Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6246862Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6247206Z [2022-11-23 01:24:03,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6247534Z [2022-11-23 01:24:03,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6247909Z [2022-11-23 01:24:03,787] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6248004Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6248097Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6248189Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6248278Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6248370Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6248517Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6248609Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6248615Z 2022-11-23T01:30:35.6248705Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6248793Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6248882Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6248968Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6249110Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:30:35.6249267Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6249345Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6249351Z 2022-11-23T01:30:35.6249443Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6249582Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:30:35.6249674Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6249760Z 34 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6249902Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:30:35.6250061Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:30:35.6250139Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.6250157Z 2022-11-23T01:30:35.6250230Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6250315Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6250398Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.6250403Z 2022-11-23T01:30:35.6250489Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6250573Z 50 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6250694Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:30:35.6250698Z 2022-11-23T01:30:35.6250787Z 1173 54 BUILD_TUPLE 5 2022-11-23T01:30:35.6250851Z 56 RETURN_VALUE 2022-11-23T01:30:35.6250912Z 2022-11-23T01:30:35.6250917Z 2022-11-23T01:30:35.6251234Z [2022-11-23 01:24:03,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174 2022-11-23T01:30:35.6251452Z [2022-11-23 01:24:03,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6251754Z [2022-11-23 01:24:03,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:35.6252000Z [2022-11-23 01:24:03,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:30:35.6252273Z [2022-11-23 01:24:03,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6252584Z [2022-11-23 01:24:03,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6252959Z [2022-11-23 01:24:03,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6253357Z [2022-11-23 01:24:03,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:35.6253665Z [2022-11-23 01:24:03,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175 2022-11-23T01:30:35.6253893Z [2022-11-23 01:24:03,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6254224Z [2022-11-23 01:24:03,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6254496Z [2022-11-23 01:24:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6254795Z [2022-11-23 01:24:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6255130Z [2022-11-23 01:24:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6255522Z [2022-11-23 01:24:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6255941Z [2022-11-23 01:24:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6256283Z [2022-11-23 01:24:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176 2022-11-23T01:30:35.6256554Z [2022-11-23 01:24:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6256908Z [2022-11-23 01:24:03,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6257208Z [2022-11-23 01:24:03,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:30:35.6257540Z [2022-11-23 01:24:03,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:30:35.6257942Z [2022-11-23 01:24:03,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6258366Z [2022-11-23 01:24:03,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.6258822Z [2022-11-23 01:24:03,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.6259133Z [2022-11-23 01:24:03,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177 2022-11-23T01:30:35.6259427Z [2022-11-23 01:24:03,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6259748Z [2022-11-23 01:24:03,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6260113Z [2022-11-23 01:24:03,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6260422Z [2022-11-23 01:24:03,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178 2022-11-23T01:30:35.6260736Z [2022-11-23 01:24:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6261081Z [2022-11-23 01:24:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6261479Z [2022-11-23 01:24:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6261791Z [2022-11-23 01:24:03,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173 2022-11-23T01:30:35.6262141Z [2022-11-23 01:24:03,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6262372Z [2022-11-23 01:24:03,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6262748Z [2022-11-23 01:24:03,818] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6262990Z [2022-11-23 01:24:03,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6263253Z [2022-11-23 01:24:03,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6263508Z [2022-11-23 01:24:03,820] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6263754Z [2022-11-23 01:24:03,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6263942Z [2022-11-23 01:24:03,828] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6264073Z __compiled_fn_161 .1425 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6264162Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6264235Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6264422Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:30:35.6264642Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:30:35.6264830Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:30:35.6265021Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6265214Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6265345Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:30:35.6265350Z 2022-11-23T01:30:35.6265675Z [2022-11-23 01:24:03,828] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6265755Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6265844Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6265930Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6266021Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6266108Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6266196Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6266273Z 12 RETURN_VALUE 2022-11-23T01:30:35.6266279Z 2022-11-23T01:30:35.6266338Z 2022-11-23T01:30:35.6266649Z [2022-11-23 01:24:03,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6266754Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_161) 2022-11-23T01:30:35.6266843Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6266931Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6267006Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6267094Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6267183Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6267245Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6267333Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6267436Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6267536Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6267626Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6267700Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6267799Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6267874Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6267949Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6268049Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6268137Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6268212Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6268309Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6268451Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6268512Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6268612Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6268697Z 44 LOAD_CONST 5 (4) 2022-11-23T01:30:35.6268769Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6268883Z 48 BUILD_TUPLE 5 2022-11-23T01:30:35.6268958Z 50 RETURN_VALUE 2022-11-23T01:30:35.6268963Z 2022-11-23T01:30:35.6269024Z 2022-11-23T01:30:35.6269204Z [2022-11-23 01:24:03,829] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6269265Z - 2022-11-23T01:30:35.6269383Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6269448Z { 2022-11-23T01:30:35.6269589Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6269773Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6269889Z 'obj_weakref': None 2022-11-23T01:30:35.6270114Z 'guarded_class': 2022-11-23T01:30:35.6270197Z } 2022-11-23T01:30:35.6270260Z 2022-11-23T01:30:35.6270329Z - 2022-11-23T01:30:35.6270453Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6270517Z { 2022-11-23T01:30:35.6270658Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6270752Z 'code': None, 2022-11-23T01:30:35.6270964Z 'obj_weakref': 2022-11-23T01:30:35.6271216Z 'guarded_class': 2022-11-23T01:30:35.6271279Z } 2022-11-23T01:30:35.6271340Z 2022-11-23T01:30:35.6271410Z - 2022-11-23T01:30:35.6271531Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6271593Z { 2022-11-23T01:30:35.6271720Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6271824Z 'code': None, 2022-11-23T01:30:35.6272030Z 'obj_weakref': 2022-11-23T01:30:35.6272284Z 'guarded_class': 2022-11-23T01:30:35.6272346Z } 2022-11-23T01:30:35.6272407Z 2022-11-23T01:30:35.6272476Z - 2022-11-23T01:30:35.6272594Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6272656Z { 2022-11-23T01:30:35.6272790Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6272956Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:35.6273072Z 'obj_weakref': None 2022-11-23T01:30:35.6273301Z 'guarded_class': 2022-11-23T01:30:35.6273363Z } 2022-11-23T01:30:35.6273414Z 2022-11-23T01:30:35.6273483Z - 2022-11-23T01:30:35.6273605Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6273668Z { 2022-11-23T01:30:35.6273803Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6274019Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6274136Z 'obj_weakref': None 2022-11-23T01:30:35.6274345Z 'guarded_class': 2022-11-23T01:30:35.6274407Z } 2022-11-23T01:30:35.6274469Z 2022-11-23T01:30:35.6274538Z - 2022-11-23T01:30:35.6274670Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6274731Z { 2022-11-23T01:30:35.6274837Z 'guard_types': None, 2022-11-23T01:30:35.6274941Z 'code': None, 2022-11-23T01:30:35.6275057Z 'obj_weakref': None 2022-11-23T01:30:35.6275177Z 'guarded_class': None 2022-11-23T01:30:35.6275240Z } 2022-11-23T01:30:35.6275301Z 2022-11-23T01:30:35.6275562Z [2022-11-23 01:24:03,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160 2022-11-23T01:30:35.6275963Z [2022-11-23 01:24:05,384] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bk/cbkaqqllxd4bagavncs7cz2gturzuw3tru34nbrmmoae5ho6vd4l.py 2022-11-23T01:30:35.6276216Z [2022-11-23 01:24:05,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160 2022-11-23T01:30:35.6276221Z 2022-11-23T01:30:35.6276316Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6276384Z import torch 2022-11-23T01:30:35.6276452Z import random 2022-11-23T01:30:35.6276566Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6276687Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6276692Z 2022-11-23T01:30:35.6276769Z aten = torch.ops.aten 2022-11-23T01:30:35.6276902Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6276982Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6277015Z 2022-11-23T01:30:35.6277019Z 2022-11-23T01:30:35.6277153Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6277358Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6277475Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6277578Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.6277675Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6277770Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.6277861Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.6277942Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.6278034Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.6278095Z { 2022-11-23T01:30:35.6278192Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6278254Z { 2022-11-23T01:30:35.6278331Z #pragma omp for 2022-11-23T01:30:35.6278403Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:35.6278466Z { 2022-11-23T01:30:35.6278528Z { 2022-11-23T01:30:35.6278593Z { 2022-11-23T01:30:35.6278686Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6278775Z auto tmp2 = in_ptr1[0]; 2022-11-23T01:30:35.6278881Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.6278974Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.6279064Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:30:35.6279313Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:30:35.6279402Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:30:35.6279483Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.6279565Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:35.6279645Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:35.6279727Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:35.6279795Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:35.6279859Z } 2022-11-23T01:30:35.6279922Z } 2022-11-23T01:30:35.6280055Z } 2022-11-23T01:30:35.6280121Z } 2022-11-23T01:30:35.6280182Z } 2022-11-23T01:30:35.6280250Z ''') 2022-11-23T01:30:35.6280255Z 2022-11-23T01:30:35.6280277Z 2022-11-23T01:30:35.6280354Z async_compile.wait(globals()) 2022-11-23T01:30:35.6280426Z del async_compile 2022-11-23T01:30:35.6280430Z 2022-11-23T01:30:35.6280500Z def call(args): 2022-11-23T01:30:35.6280607Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6280678Z args.clear() 2022-11-23T01:30:35.6280870Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6281057Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6281230Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6281421Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6281607Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6281897Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.6281969Z del arg0_1 2022-11-23T01:30:35.6282034Z del arg1_1 2022-11-23T01:30:35.6282130Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6282135Z 2022-11-23T01:30:35.6282139Z 2022-11-23T01:30:35.6282215Z if __name__ == "__main__": 2022-11-23T01:30:35.6282315Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6282437Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6282626Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6282806Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6282953Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6282958Z 2022-11-23T01:30:35.6282962Z 2022-11-23T01:30:35.6283057Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6283128Z import torch 2022-11-23T01:30:35.6283199Z import random 2022-11-23T01:30:35.6283301Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6283421Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6283427Z 2022-11-23T01:30:35.6283504Z aten = torch.ops.aten 2022-11-23T01:30:35.6283636Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6283726Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6283731Z 2022-11-23T01:30:35.6283736Z 2022-11-23T01:30:35.6283868Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6284074Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6284196Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6284284Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.6284387Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6284482Z long* __restrict__ out_ptr1, 2022-11-23T01:30:35.6284576Z long* __restrict__ out_ptr2, 2022-11-23T01:30:35.6284674Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.6284869Z long* __restrict__ out_ptr4) 2022-11-23T01:30:35.6284932Z { 2022-11-23T01:30:35.6285018Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6285084Z { 2022-11-23T01:30:35.6285161Z #pragma omp for 2022-11-23T01:30:35.6285245Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:35.6285308Z { 2022-11-23T01:30:35.6285371Z { 2022-11-23T01:30:35.6285435Z { 2022-11-23T01:30:35.6285513Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:35.6285607Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.6285718Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.6285825Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:35.6285915Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:30:35.6286169Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:30:35.6286257Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:30:35.6286327Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.6286410Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:35.6286490Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:35.6286571Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:35.6286652Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:35.6286717Z } 2022-11-23T01:30:35.6286779Z } 2022-11-23T01:30:35.6286829Z } 2022-11-23T01:30:35.6286895Z } 2022-11-23T01:30:35.6286958Z } 2022-11-23T01:30:35.6287038Z ''') 2022-11-23T01:30:35.6287043Z 2022-11-23T01:30:35.6287047Z 2022-11-23T01:30:35.6287136Z async_compile.wait(globals()) 2022-11-23T01:30:35.6287256Z del async_compile 2022-11-23T01:30:35.6287262Z 2022-11-23T01:30:35.6287334Z def call(args): 2022-11-23T01:30:35.6287397Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6287468Z args.clear() 2022-11-23T01:30:35.6287663Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6287851Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6288036Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6288223Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6288405Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6288665Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.6288758Z del arg0_1 2022-11-23T01:30:35.6288826Z del arg1_1 2022-11-23T01:30:35.6288923Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6288928Z 2022-11-23T01:30:35.6288932Z 2022-11-23T01:30:35.6289010Z if __name__ == "__main__": 2022-11-23T01:30:35.6289123Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6289246Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6289424Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6289611Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6289714Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6289719Z 2022-11-23T01:30:35.6289786Z ok (6.240s) 2022-11-23T01:30:35.6290093Z test_dropout_cpu (__main__.CpuTests) ... [2022-11-23 01:24:05,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1 2022-11-23T01:30:35.6290414Z [2022-11-23 01:24:05,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3825 2022-11-23T01:30:35.6290633Z [2022-11-23 01:24:05,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6290994Z [2022-11-23 01:24:05,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:35.6291374Z [2022-11-23 01:24:05,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:35.6291778Z [2022-11-23 01:24:05,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:30:35.6292077Z [2022-11-23 01:24:05,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6292399Z [2022-11-23 01:24:05,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6292645Z [2022-11-23 01:24:05,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6292863Z [2022-11-23 01:24:05,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1 2022-11-23T01:30:35.6293101Z [2022-11-23 01:24:05,393] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.6293337Z [2022-11-23 01:24:05,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.6293524Z [2022-11-23 01:24:05,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6293657Z __compiled_fn_162 .1431 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6293742Z placeholder, a, a, (), {} 2022-11-23T01:30:35.6293921Z call_function, lowmem_dropout, , (a,), {} 2022-11-23T01:30:35.6294036Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:30:35.6294041Z 2022-11-23T01:30:35.6294352Z [2022-11-23 01:24:05,398] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 2022-11-23T01:30:35.6294448Z 3825 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6294537Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.6294636Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.6294733Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:30:35.6294823Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6294940Z 10 CALL_METHOD 1 2022-11-23T01:30:35.6295015Z 12 RETURN_VALUE 2022-11-23T01:30:35.6295020Z 2022-11-23T01:30:35.6295068Z 2022-11-23T01:30:35.6295396Z [2022-11-23 01:24:05,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 2022-11-23T01:30:35.6295504Z 3823 0 LOAD_GLOBAL 4 (__compiled_fn_162) 2022-11-23T01:30:35.6300680Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6300810Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.6300907Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6300971Z 8 RETURN_VALUE 2022-11-23T01:30:35.6300977Z 2022-11-23T01:30:35.6301037Z 2022-11-23T01:30:35.6301252Z [2022-11-23 01:24:05,398] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6301321Z - 2022-11-23T01:30:35.6301443Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.6301517Z { 2022-11-23T01:30:35.6301662Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6301756Z 'code': None, 2022-11-23T01:30:35.6301975Z 'obj_weakref': 2022-11-23T01:30:35.6302230Z 'guarded_class': 2022-11-23T01:30:35.6302292Z } 2022-11-23T01:30:35.6302354Z 2022-11-23T01:30:35.6302423Z - 2022-11-23T01:30:35.6302554Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6302604Z { 2022-11-23T01:30:35.6302723Z 'guard_types': None, 2022-11-23T01:30:35.6302832Z 'code': None, 2022-11-23T01:30:35.6302947Z 'obj_weakref': None 2022-11-23T01:30:35.6303067Z 'guarded_class': None 2022-11-23T01:30:35.6303128Z } 2022-11-23T01:30:35.6303178Z 2022-11-23T01:30:35.6303439Z [2022-11-23 01:24:05,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161 2022-11-23T01:30:35.6303701Z [2022-11-23 01:24:05,408] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.6304072Z [2022-11-23 01:24:06,883] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyozxjecynoouqhku2wr2opwkvq4fd76g2mtltb2w25i2ikzxrp.py 2022-11-23T01:30:35.6304333Z [2022-11-23 01:24:06,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161 2022-11-23T01:30:35.6304567Z [2022-11-23 01:24:06,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2 2022-11-23T01:30:35.6304879Z [2022-11-23 01:24:06,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3837 2022-11-23T01:30:35.6305094Z [2022-11-23 01:24:06,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6305455Z [2022-11-23 01:24:06,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:35.6305899Z [2022-11-23 01:24:06,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:35.6306307Z [2022-11-23 01:24:06,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:30:35.6306586Z [2022-11-23 01:24:06,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6306906Z [2022-11-23 01:24:06,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6307305Z [2022-11-23 01:24:06,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6307715Z [2022-11-23 01:24:06,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:30:35.6307962Z [2022-11-23 01:24:06,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6308195Z [2022-11-23 01:24:06,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2 2022-11-23T01:30:35.6308433Z [2022-11-23 01:24:06,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.6308665Z [2022-11-23 01:24:06,893] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.6308853Z [2022-11-23 01:24:06,894] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6308989Z __compiled_fn_163 .1437 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6309063Z placeholder, a, a, (), {} 2022-11-23T01:30:35.6309224Z call_function, lowmem_dropout, , (a, 0.5, True), {} 2022-11-23T01:30:35.6309336Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:30:35.6309342Z 2022-11-23T01:30:35.6309665Z [2022-11-23 01:24:06,894] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 2022-11-23T01:30:35.6309759Z 3837 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6309847Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.6309948Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.6310043Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:30:35.6310119Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6310211Z 10 LOAD_CONST 1 (0.5) 2022-11-23T01:30:35.6310302Z 12 LOAD_CONST 2 (True) 2022-11-23T01:30:35.6310395Z 14 CALL_METHOD 3 2022-11-23T01:30:35.6310471Z 16 RETURN_VALUE 2022-11-23T01:30:35.6310476Z 2022-11-23T01:30:35.6310535Z 2022-11-23T01:30:35.6310859Z [2022-11-23 01:24:06,894] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 2022-11-23T01:30:35.6310967Z 3835 0 LOAD_GLOBAL 4 (__compiled_fn_163) 2022-11-23T01:30:35.6311043Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6311131Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.6311219Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6311291Z 8 RETURN_VALUE 2022-11-23T01:30:35.6311296Z 2022-11-23T01:30:35.6311354Z 2022-11-23T01:30:35.6311537Z [2022-11-23 01:24:06,895] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6311605Z - 2022-11-23T01:30:35.6311711Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.6311773Z { 2022-11-23T01:30:35.6311949Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6312057Z 'code': None, 2022-11-23T01:30:35.6312268Z 'obj_weakref': 2022-11-23T01:30:35.6312520Z 'guarded_class': 2022-11-23T01:30:35.6312586Z } 2022-11-23T01:30:35.6312635Z 2022-11-23T01:30:35.6312702Z - 2022-11-23T01:30:35.6312837Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6312903Z { 2022-11-23T01:30:35.6313020Z 'guard_types': None, 2022-11-23T01:30:35.6313124Z 'code': None, 2022-11-23T01:30:35.6313240Z 'obj_weakref': None 2022-11-23T01:30:35.6313377Z 'guarded_class': None 2022-11-23T01:30:35.6313440Z } 2022-11-23T01:30:35.6313503Z 2022-11-23T01:30:35.6313765Z [2022-11-23 01:24:06,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162 2022-11-23T01:30:35.6314020Z [2022-11-23 01:24:06,904] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.6314387Z [2022-11-23 01:24:06,913] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyozxjecynoouqhku2wr2opwkvq4fd76g2mtltb2w25i2ikzxrp.py 2022-11-23T01:30:35.6314651Z [2022-11-23 01:24:06,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162 2022-11-23T01:30:35.6314656Z 2022-11-23T01:30:35.6314748Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6314803Z import torch 2022-11-23T01:30:35.6314871Z import random 2022-11-23T01:30:35.6314983Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6315106Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6315111Z 2022-11-23T01:30:35.6315187Z aten = torch.ops.aten 2022-11-23T01:30:35.6315319Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6315409Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6315557Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.6315573Z 2022-11-23T01:30:35.6315577Z 2022-11-23T01:30:35.6315697Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6315901Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6316014Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:35.6316118Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6316214Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6316274Z { 2022-11-23T01:30:35.6316370Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6316421Z { 2022-11-23T01:30:35.6316496Z #pragma omp for 2022-11-23T01:30:35.6316581Z for(long i0=0; i0<1000; i0+=1) 2022-11-23T01:30:35.6316646Z { 2022-11-23T01:30:35.6316711Z { 2022-11-23T01:30:35.6316774Z { 2022-11-23T01:30:35.6316861Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.6316939Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.6317037Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.6317172Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:35.6317276Z auto tmp3 = static_cast(0.5); 2022-11-23T01:30:35.6317366Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:30:35.6317470Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:35.6317559Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:30:35.6317649Z auto tmp8 = static_cast(2.0); 2022-11-23T01:30:35.6317738Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.6317821Z out_ptr0[i0] = tmp9; 2022-11-23T01:30:35.6317916Z } 2022-11-23T01:30:35.6317981Z } 2022-11-23T01:30:35.6318043Z } 2022-11-23T01:30:35.6318104Z } 2022-11-23T01:30:35.6318151Z } 2022-11-23T01:30:35.6318231Z ''') 2022-11-23T01:30:35.6318235Z 2022-11-23T01:30:35.6318239Z 2022-11-23T01:30:35.6318331Z async_compile.wait(globals()) 2022-11-23T01:30:35.6318400Z del async_compile 2022-11-23T01:30:35.6318405Z 2022-11-23T01:30:35.6318475Z def call(args): 2022-11-23T01:30:35.6318545Z arg0_1, = args 2022-11-23T01:30:35.6318617Z args.clear() 2022-11-23T01:30:35.6318736Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.6318934Z buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6319107Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6319205Z del arg0_1 2022-11-23T01:30:35.6319277Z return (buf0, ) 2022-11-23T01:30:35.6319282Z 2022-11-23T01:30:35.6319289Z 2022-11-23T01:30:35.6319364Z if __name__ == "__main__": 2022-11-23T01:30:35.6319479Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6319604Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6319783Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6320073Z arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6320187Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6320192Z 2022-11-23T01:30:35.6320196Z 2022-11-23T01:30:35.6320293Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6320366Z import torch 2022-11-23T01:30:35.6320435Z import random 2022-11-23T01:30:35.6320550Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6320671Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6320675Z 2022-11-23T01:30:35.6320740Z aten = torch.ops.aten 2022-11-23T01:30:35.6320875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6320969Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6321130Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.6321135Z 2022-11-23T01:30:35.6321139Z 2022-11-23T01:30:35.6321272Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6321475Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6321589Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:35.6321693Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6321779Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6321840Z { 2022-11-23T01:30:35.6321942Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6322005Z { 2022-11-23T01:30:35.6322080Z #pragma omp for 2022-11-23T01:30:35.6322166Z for(long i0=0; i0<1000; i0+=1) 2022-11-23T01:30:35.6322227Z { 2022-11-23T01:30:35.6322279Z { 2022-11-23T01:30:35.6322341Z { 2022-11-23T01:30:35.6322431Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.6322524Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.6322623Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.6322760Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:35.6322864Z auto tmp3 = static_cast(0.5); 2022-11-23T01:30:35.6322946Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:30:35.6323049Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:35.6323140Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:30:35.6323243Z auto tmp8 = static_cast(2.0); 2022-11-23T01:30:35.6323332Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.6323415Z out_ptr0[i0] = tmp9; 2022-11-23T01:30:35.6323478Z } 2022-11-23T01:30:35.6323561Z } 2022-11-23T01:30:35.6323623Z } 2022-11-23T01:30:35.6323686Z } 2022-11-23T01:30:35.6323745Z } 2022-11-23T01:30:35.6323823Z ''') 2022-11-23T01:30:35.6323828Z 2022-11-23T01:30:35.6323833Z 2022-11-23T01:30:35.6323920Z async_compile.wait(globals()) 2022-11-23T01:30:35.6323991Z del async_compile 2022-11-23T01:30:35.6323996Z 2022-11-23T01:30:35.6324053Z def call(args): 2022-11-23T01:30:35.6324122Z arg0_1, = args 2022-11-23T01:30:35.6324194Z args.clear() 2022-11-23T01:30:35.6324326Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.6324521Z buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6324689Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6324912Z del arg0_1 2022-11-23T01:30:35.6324970Z return (buf0, ) 2022-11-23T01:30:35.6324987Z 2022-11-23T01:30:35.6324992Z 2022-11-23T01:30:35.6325057Z if __name__ == "__main__": 2022-11-23T01:30:35.6325170Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6325296Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6325491Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6325688Z arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6325795Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6325799Z 2022-11-23T01:30:35.6325866Z ok (1.527s) 2022-11-23T01:30:35.6326194Z test_dropout_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:24:06,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.6326496Z [2022-11-23 01:24:06,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846 2022-11-23T01:30:35.6326720Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6327085Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:35.6327469Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:35.6327872Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:30:35.6328162Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6328488Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6328849Z [2022-11-23 01:24:06,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6329249Z [2022-11-23 01:24:06,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:30:35.6329495Z [2022-11-23 01:24:06,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6329726Z [2022-11-23 01:24:06,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.6329952Z [2022-11-23 01:24:06,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.6330189Z [2022-11-23 01:24:06,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.6330430Z [2022-11-23 01:24:06,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6330568Z __compiled_fn_164 .1443 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6330652Z placeholder, a, a, (), {} 2022-11-23T01:30:35.6330809Z call_function, lowmem_dropout, , (a, 0.55, True), {} 2022-11-23T01:30:35.6330920Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:30:35.6330925Z 2022-11-23T01:30:35.6331251Z [2022-11-23 01:24:06,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 2022-11-23T01:30:35.6331346Z 3846 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6331424Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.6331560Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.6331655Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:30:35.6331749Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6331841Z 10 LOAD_CONST 1 (0.55) 2022-11-23T01:30:35.6331929Z 12 LOAD_CONST 2 (True) 2022-11-23T01:30:35.6332014Z 14 CALL_METHOD 3 2022-11-23T01:30:35.6332075Z 16 RETURN_VALUE 2022-11-23T01:30:35.6332091Z 2022-11-23T01:30:35.6332141Z 2022-11-23T01:30:35.6332462Z [2022-11-23 01:24:06,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 2022-11-23T01:30:35.6332566Z 3844 0 LOAD_GLOBAL 4 (__compiled_fn_164) 2022-11-23T01:30:35.6332655Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6332744Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.6332838Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6332915Z 8 RETURN_VALUE 2022-11-23T01:30:35.6332919Z 2022-11-23T01:30:35.6332969Z 2022-11-23T01:30:35.6333149Z [2022-11-23 01:24:06,925] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6333224Z - 2022-11-23T01:30:35.6333343Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.6333408Z { 2022-11-23T01:30:35.6333547Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6333653Z 'code': None, 2022-11-23T01:30:35.6333850Z 'obj_weakref': 2022-11-23T01:30:35.6334099Z 'guarded_class': 2022-11-23T01:30:35.6334167Z } 2022-11-23T01:30:35.6334231Z 2022-11-23T01:30:35.6334299Z - 2022-11-23T01:30:35.6334428Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6334492Z { 2022-11-23T01:30:35.6334598Z 'guard_types': None, 2022-11-23T01:30:35.6334702Z 'code': None, 2022-11-23T01:30:35.6334824Z 'obj_weakref': None 2022-11-23T01:30:35.6334941Z 'guarded_class': None 2022-11-23T01:30:35.6335002Z } 2022-11-23T01:30:35.6335063Z 2022-11-23T01:30:35.6335321Z [2022-11-23 01:24:06,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163 2022-11-23T01:30:35.6335560Z [2022-11-23 01:24:06,934] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.6335922Z [2022-11-23 01:24:08,437] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4loddx5gkectkrxqdxgq6j5fqz7kroliy3hgnf54qmfqrr7rfb4.py 2022-11-23T01:30:35.6336184Z [2022-11-23 01:24:08,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163 2022-11-23T01:30:35.6336420Z [2022-11-23 01:24:08,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.6336759Z [2022-11-23 01:24:08,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846 2022-11-23T01:30:35.6336979Z [2022-11-23 01:24:08,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6337332Z [2022-11-23 01:24:08,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:35.6337713Z [2022-11-23 01:24:08,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:35.6338117Z [2022-11-23 01:24:08,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:30:35.6338442Z [2022-11-23 01:24:08,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6338763Z [2022-11-23 01:24:08,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6339113Z [2022-11-23 01:24:08,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6339513Z [2022-11-23 01:24:08,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:30:35.6339760Z [2022-11-23 01:24:08,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6339994Z [2022-11-23 01:24:08,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.6340240Z [2022-11-23 01:24:08,447] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.6340475Z [2022-11-23 01:24:08,452] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.6340661Z [2022-11-23 01:24:08,453] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6340794Z __compiled_fn_165 .1449 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6340874Z placeholder, a, a, (), {} 2022-11-23T01:30:35.6341017Z call_function, lowmem_dropout, , (a, 0.55, True), {} 2022-11-23T01:30:35.6341129Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:30:35.6341134Z 2022-11-23T01:30:35.6341455Z [2022-11-23 01:24:08,453] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 2022-11-23T01:30:35.6341552Z 3846 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6341644Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.6341744Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.6341844Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:30:35.6341933Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6342009Z 10 LOAD_CONST 1 (0.55) 2022-11-23T01:30:35.6342098Z 12 LOAD_CONST 2 (True) 2022-11-23T01:30:35.6342183Z 14 CALL_METHOD 3 2022-11-23T01:30:35.6342260Z 16 RETURN_VALUE 2022-11-23T01:30:35.6342264Z 2022-11-23T01:30:35.6342323Z 2022-11-23T01:30:35.6342646Z [2022-11-23 01:24:08,453] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 2022-11-23T01:30:35.6342754Z 3844 0 LOAD_GLOBAL 4 (__compiled_fn_165) 2022-11-23T01:30:35.6342842Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6342945Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.6343036Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6343111Z 8 RETURN_VALUE 2022-11-23T01:30:35.6343116Z 2022-11-23T01:30:35.6343176Z 2022-11-23T01:30:35.6343357Z [2022-11-23 01:24:08,454] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6343428Z - 2022-11-23T01:30:35.6343546Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.6343597Z { 2022-11-23T01:30:35.6343737Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6343842Z 'code': None, 2022-11-23T01:30:35.6344055Z 'obj_weakref': 2022-11-23T01:30:35.6344307Z 'guarded_class': 2022-11-23T01:30:35.6344417Z } 2022-11-23T01:30:35.6344480Z 2022-11-23T01:30:35.6344537Z - 2022-11-23T01:30:35.6344668Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6344732Z { 2022-11-23T01:30:35.6344850Z 'guard_types': None, 2022-11-23T01:30:35.6344955Z 'code': None, 2022-11-23T01:30:35.6345070Z 'obj_weakref': None 2022-11-23T01:30:35.6345188Z 'guarded_class': None 2022-11-23T01:30:35.6345237Z } 2022-11-23T01:30:35.6345298Z 2022-11-23T01:30:35.6345558Z [2022-11-23 01:24:08,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164 2022-11-23T01:30:35.6345809Z [2022-11-23 01:24:08,471] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.6346174Z [2022-11-23 01:24:08,480] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4loddx5gkectkrxqdxgq6j5fqz7kroliy3hgnf54qmfqrr7rfb4.py 2022-11-23T01:30:35.6346440Z [2022-11-23 01:24:08,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164 2022-11-23T01:30:35.6346447Z 2022-11-23T01:30:35.6346539Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6346606Z import torch 2022-11-23T01:30:35.6346662Z import random 2022-11-23T01:30:35.6346774Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6346895Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6346900Z 2022-11-23T01:30:35.6346978Z aten = torch.ops.aten 2022-11-23T01:30:35.6347108Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6347199Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6347359Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.6347364Z 2022-11-23T01:30:35.6347369Z 2022-11-23T01:30:35.6347501Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6347696Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6347807Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:35.6347912Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6348011Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6348072Z { 2022-11-23T01:30:35.6348169Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6348233Z { 2022-11-23T01:30:35.6348298Z #pragma omp for 2022-11-23T01:30:35.6348381Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.6348442Z { 2022-11-23T01:30:35.6348506Z { 2022-11-23T01:30:35.6348573Z { 2022-11-23T01:30:35.6348660Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.6348749Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.6348836Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.6348973Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:35.6349078Z auto tmp3 = static_cast(0.55); 2022-11-23T01:30:35.6349200Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:30:35.6349304Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:35.6349391Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:30:35.6349502Z auto tmp8 = static_cast(2.2222222222222223); 2022-11-23T01:30:35.6349591Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.6349662Z out_ptr0[i0] = tmp9; 2022-11-23T01:30:35.6349725Z } 2022-11-23T01:30:35.6349789Z } 2022-11-23T01:30:35.6349852Z } 2022-11-23T01:30:35.6349913Z } 2022-11-23T01:30:35.6349972Z } 2022-11-23T01:30:35.6350038Z ''') 2022-11-23T01:30:35.6350043Z 2022-11-23T01:30:35.6350059Z 2022-11-23T01:30:35.6350135Z async_compile.wait(globals()) 2022-11-23T01:30:35.6350206Z del async_compile 2022-11-23T01:30:35.6350242Z 2022-11-23T01:30:35.6350314Z def call(args): 2022-11-23T01:30:35.6350384Z arg0_1, = args 2022-11-23T01:30:35.6350454Z args.clear() 2022-11-23T01:30:35.6350587Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.6350782Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6350942Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6351009Z del arg0_1 2022-11-23T01:30:35.6351081Z return (buf0, ) 2022-11-23T01:30:35.6351086Z 2022-11-23T01:30:35.6351090Z 2022-11-23T01:30:35.6351165Z if __name__ == "__main__": 2022-11-23T01:30:35.6351279Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6351402Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6351592Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6351788Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6351882Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6351886Z 2022-11-23T01:30:35.6351893Z 2022-11-23T01:30:35.6351983Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6352055Z import torch 2022-11-23T01:30:35.6352123Z import random 2022-11-23T01:30:35.6352235Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6352354Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6352358Z 2022-11-23T01:30:35.6352433Z aten = torch.ops.aten 2022-11-23T01:30:35.6352567Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6352646Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6352804Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.6352810Z 2022-11-23T01:30:35.6352814Z 2022-11-23T01:30:35.6352948Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6353156Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6353270Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:35.6353374Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6353471Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6353531Z { 2022-11-23T01:30:35.6353617Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6353677Z { 2022-11-23T01:30:35.6353757Z #pragma omp for 2022-11-23T01:30:35.6353838Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.6353902Z { 2022-11-23T01:30:35.6353967Z { 2022-11-23T01:30:35.6354018Z { 2022-11-23T01:30:35.6354102Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.6354191Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.6354290Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.6354426Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:35.6354531Z auto tmp3 = static_cast(0.55); 2022-11-23T01:30:35.6354655Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:30:35.6354749Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:35.6354836Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:30:35.6354947Z auto tmp8 = static_cast(2.2222222222222223); 2022-11-23T01:30:35.6355037Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.6355121Z out_ptr0[i0] = tmp9; 2022-11-23T01:30:35.6355184Z } 2022-11-23T01:30:35.6355250Z } 2022-11-23T01:30:35.6355298Z } 2022-11-23T01:30:35.6355360Z } 2022-11-23T01:30:35.6355419Z } 2022-11-23T01:30:35.6355497Z ''') 2022-11-23T01:30:35.6355502Z 2022-11-23T01:30:35.6355506Z 2022-11-23T01:30:35.6355592Z async_compile.wait(globals()) 2022-11-23T01:30:35.6355665Z del async_compile 2022-11-23T01:30:35.6355696Z 2022-11-23T01:30:35.6355766Z def call(args): 2022-11-23T01:30:35.6355834Z arg0_1, = args 2022-11-23T01:30:35.6355892Z args.clear() 2022-11-23T01:30:35.6356025Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.6356221Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6356391Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6356457Z del arg0_1 2022-11-23T01:30:35.6356529Z return (buf0, ) 2022-11-23T01:30:35.6356534Z 2022-11-23T01:30:35.6356538Z 2022-11-23T01:30:35.6356610Z if __name__ == "__main__": 2022-11-23T01:30:35.6356711Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6356830Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6357023Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6357222Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6357329Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6357334Z 2022-11-23T01:30:35.6357401Z ok (1.568s) 2022-11-23T01:30:35.6357721Z test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2022-11-23 01:24:08,487] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.6358039Z [2022-11-23 01:24:08,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4613 2022-11-23T01:30:35.6358256Z [2022-11-23 01:24:08,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6358605Z [2022-11-23 01:24:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:35.6358983Z [2022-11-23 01:24:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:35.6359388Z [2022-11-23 01:24:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable()] 2022-11-23T01:30:35.6359661Z [2022-11-23 01:24:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.6359961Z [2022-11-23 01:24:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6360452Z [2022-11-23 01:24:08,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6360825Z [2022-11-23 01:24:08,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6361193Z [2022-11-23 01:24:08,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.6361437Z [2022-11-23 01:24:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()] 2022-11-23T01:30:35.6361751Z [2022-11-23 01:24:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4614 2022-11-23T01:30:35.6361962Z [2022-11-23 01:24:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn [] 2022-11-23T01:30:35.6362208Z [2022-11-23 01:24:08,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()] 2022-11-23T01:30:35.6362479Z [2022-11-23 01:24:08,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)] 2022-11-23T01:30:35.6362836Z [2022-11-23 01:24:08,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)] 2022-11-23T01:30:35.6363203Z [2022-11-23 01:24:08,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:35.6363452Z [2022-11-23 01:24:08,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6363682Z [2022-11-23 01:24:08,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.6363922Z [2022-11-23 01:24:08,495] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.6364156Z [2022-11-23 01:24:08,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.6364345Z [2022-11-23 01:24:08,500] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6364482Z __compiled_fn_166 .1455 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6364552Z placeholder, x, x, (), {} 2022-11-23T01:30:35.6364728Z call_function, pad, , (x, [0, 1]), {} 2022-11-23T01:30:35.6364985Z call_method, softmax, softmax, (pad,), {'dim': -1} 2022-11-23T01:30:35.6365090Z output, output, output, ((softmax,),), {} 2022-11-23T01:30:35.6365095Z 2022-11-23T01:30:35.6365421Z [2022-11-23 01:24:08,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 2022-11-23T01:30:35.6365517Z 4613 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6365607Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.6365708Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.6365789Z 6 LOAD_METHOD 3 (pad) 2022-11-23T01:30:35.6365881Z 8 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6365971Z 10 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6366060Z 12 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6366149Z 14 BUILD_LIST 2 2022-11-23T01:30:35.6366236Z 16 CALL_METHOD 2 2022-11-23T01:30:35.6366328Z 18 STORE_FAST 1 (attn) 2022-11-23T01:30:35.6366333Z 2022-11-23T01:30:35.6366410Z 4614 20 LOAD_FAST 1 (attn) 2022-11-23T01:30:35.6366503Z 22 LOAD_ATTR 4 (softmax) 2022-11-23T01:30:35.6366639Z 24 LOAD_CONST 3 (-1) 2022-11-23T01:30:35.6366780Z 26 LOAD_CONST 4 (('dim',)) 2022-11-23T01:30:35.6366873Z 28 CALL_FUNCTION_KW 1 2022-11-23T01:30:35.6366952Z 30 RETURN_VALUE 2022-11-23T01:30:35.6366957Z 2022-11-23T01:30:35.6367022Z 2022-11-23T01:30:35.6367344Z [2022-11-23 01:24:08,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 2022-11-23T01:30:35.6367442Z 4612 0 LOAD_GLOBAL 5 (__compiled_fn_166) 2022-11-23T01:30:35.6367595Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6367687Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.6367780Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6367855Z 8 RETURN_VALUE 2022-11-23T01:30:35.6367859Z 2022-11-23T01:30:35.6367921Z 2022-11-23T01:30:35.6368104Z [2022-11-23 01:24:08,501] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6368161Z - 2022-11-23T01:30:35.6368279Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.6368348Z { 2022-11-23T01:30:35.6368489Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6368595Z 'code': None, 2022-11-23T01:30:35.6368809Z 'obj_weakref': 2022-11-23T01:30:35.6369101Z 'guarded_class': 2022-11-23T01:30:35.6369164Z } 2022-11-23T01:30:35.6369216Z 2022-11-23T01:30:35.6369286Z - 2022-11-23T01:30:35.6369420Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6369489Z { 2022-11-23T01:30:35.6369606Z 'guard_types': None, 2022-11-23T01:30:35.6369711Z 'code': None, 2022-11-23T01:30:35.6369815Z 'obj_weakref': None 2022-11-23T01:30:35.6369933Z 'guarded_class': None 2022-11-23T01:30:35.6369997Z } 2022-11-23T01:30:35.6370061Z 2022-11-23T01:30:35.6370320Z [2022-11-23 01:24:08,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165 2022-11-23T01:30:35.6370672Z [2022-11-23 01:24:10,051] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/le/clecvej5c34j32lgqgai453uyn4ju747u22rjndmsgjfejlqznbj.py 2022-11-23T01:30:35.6370935Z [2022-11-23 01:24:10,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165 2022-11-23T01:30:35.6370940Z 2022-11-23T01:30:35.6371033Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6371089Z import torch 2022-11-23T01:30:35.6371157Z import random 2022-11-23T01:30:35.6371273Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6371393Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6371398Z 2022-11-23T01:30:35.6371474Z aten = torch.ops.aten 2022-11-23T01:30:35.6371608Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6371701Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6371706Z 2022-11-23T01:30:35.6371710Z 2022-11-23T01:30:35.6371841Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6372031Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6372150Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.6372257Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6372359Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6372453Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.6372513Z { 2022-11-23T01:30:35.6372595Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:35.6372678Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6372739Z { 2022-11-23T01:30:35.6372818Z #pragma omp for 2022-11-23T01:30:35.6372902Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:30:35.6372965Z { 2022-11-23T01:30:35.6373026Z { 2022-11-23T01:30:35.6373091Z { 2022-11-23T01:30:35.6373335Z float tmp5 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.6373426Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:35.6373494Z { 2022-11-23T01:30:35.6373564Z { 2022-11-23T01:30:35.6373673Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:35.6373778Z auto tmp1 = static_cast(63); 2022-11-23T01:30:35.6373901Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.6373978Z float tmp3 = 0.0; 2022-11-23T01:30:35.6374053Z if(tmp2) 2022-11-23T01:30:35.6374124Z { 2022-11-23T01:30:35.6374228Z auto tmp4 = in_ptr0[i1 + (63*i0)]; 2022-11-23T01:30:35.6374310Z tmp3 = tmp4; 2022-11-23T01:30:35.6374378Z } 2022-11-23T01:30:35.6374479Z tmp5 = std::max(tmp5, tmp3); 2022-11-23T01:30:35.6374533Z } 2022-11-23T01:30:35.6374598Z } 2022-11-23T01:30:35.6374682Z out_ptr0[i0] = tmp5; 2022-11-23T01:30:35.6374747Z } 2022-11-23T01:30:35.6374877Z } 2022-11-23T01:30:35.6374941Z } 2022-11-23T01:30:35.6375016Z #pragma omp for 2022-11-23T01:30:35.6375085Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:30:35.6375150Z { 2022-11-23T01:30:35.6375215Z { 2022-11-23T01:30:35.6375280Z { 2022-11-23T01:30:35.6375362Z float tmp8 = 0; 2022-11-23T01:30:35.6375451Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:35.6375517Z { 2022-11-23T01:30:35.6375572Z { 2022-11-23T01:30:35.6375668Z auto tmp5 = out_ptr0[i0]; 2022-11-23T01:30:35.6375775Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:35.6375882Z auto tmp1 = static_cast(63); 2022-11-23T01:30:35.6375977Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:35.6376063Z float tmp3 = 0.0; 2022-11-23T01:30:35.6376139Z if(tmp2) 2022-11-23T01:30:35.6376197Z { 2022-11-23T01:30:35.6376302Z auto tmp4 = in_ptr0[i1 + (63*i0)]; 2022-11-23T01:30:35.6376389Z tmp3 = tmp4; 2022-11-23T01:30:35.6376459Z } 2022-11-23T01:30:35.6376602Z auto tmp6 = tmp3 - tmp5; 2022-11-23T01:30:35.6376705Z auto tmp7 = std::exp(tmp6); 2022-11-23T01:30:35.6376800Z out_ptr1[i1 + (64*i0)] = tmp7; 2022-11-23T01:30:35.6376869Z tmp8 += tmp7; 2022-11-23T01:30:35.6376938Z } 2022-11-23T01:30:35.6377005Z } 2022-11-23T01:30:35.6377088Z out_ptr2[i0] = tmp8; 2022-11-23T01:30:35.6377154Z } 2022-11-23T01:30:35.6377215Z } 2022-11-23T01:30:35.6377274Z } 2022-11-23T01:30:35.6377337Z #pragma omp for 2022-11-23T01:30:35.6377424Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:30:35.6377485Z { 2022-11-23T01:30:35.6377568Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.6377629Z { 2022-11-23T01:30:35.6377773Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + (8*i1) + (64*i0)); 2022-11-23T01:30:35.6377896Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:30:35.6377969Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6378073Z tmp2.store(in_out_ptr0 + (8*i1) + (64*i0)); 2022-11-23T01:30:35.6378137Z } 2022-11-23T01:30:35.6378226Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.6378308Z for(long i1=64; i1<64; i1+=1) 2022-11-23T01:30:35.6378372Z { 2022-11-23T01:30:35.6378468Z auto tmp0 = out_ptr1[i1 + (64*i0)]; 2022-11-23T01:30:35.6378542Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:30:35.6378625Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.6378721Z in_out_ptr0[i1 + (64*i0)] = tmp2; 2022-11-23T01:30:35.6378785Z } 2022-11-23T01:30:35.6378849Z } 2022-11-23T01:30:35.6378910Z } 2022-11-23T01:30:35.6378998Z } 2022-11-23T01:30:35.6379064Z ''') 2022-11-23T01:30:35.6379070Z 2022-11-23T01:30:35.6379074Z 2022-11-23T01:30:35.6379162Z async_compile.wait(globals()) 2022-11-23T01:30:35.6379235Z del async_compile 2022-11-23T01:30:35.6379240Z 2022-11-23T01:30:35.6379309Z def call(args): 2022-11-23T01:30:35.6379376Z arg0_1, = args 2022-11-23T01:30:35.6379446Z args.clear() 2022-11-23T01:30:35.6379656Z buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6379852Z buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6380059Z buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6380142Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:30:35.6380360Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.6380428Z del arg0_1 2022-11-23T01:30:35.6380500Z return (buf3, ) 2022-11-23T01:30:35.6380505Z 2022-11-23T01:30:35.6380508Z 2022-11-23T01:30:35.6380583Z if __name__ == "__main__": 2022-11-23T01:30:35.6380695Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6380803Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6381012Z arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6381116Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6381121Z 2022-11-23T01:30:35.6381188Z ok (1.574s) 2022-11-23T01:30:35.6381485Z test_elu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6381798Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6382019Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6382271Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6382547Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6382900Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6383235Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6383556Z [2022-11-23 01:24:10,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6383930Z [2022-11-23 01:24:10,063] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6384028Z 2106 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6384122Z 2 LOAD_METHOD 1 (elu) 2022-11-23T01:30:35.6384210Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6384308Z 6 LOAD_CONST 1 (1.6732632423543772) 2022-11-23T01:30:35.6384401Z 8 LOAD_CONST 2 (1.0507009873554805) 2022-11-23T01:30:35.6384477Z 10 CALL_METHOD 3 2022-11-23T01:30:35.6384564Z 12 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6384636Z 14 BINARY_ADD 2022-11-23T01:30:35.6384729Z 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6384825Z 18 LOAD_METHOD 1 (elu) 2022-11-23T01:30:35.6384830Z 2022-11-23T01:30:35.6384916Z 2107 20 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6385032Z 22 LOAD_CONST 4 (1) 2022-11-23T01:30:35.6385104Z 24 BINARY_ADD 2022-11-23T01:30:35.6385180Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6385266Z 28 LOAD_CONST 5 (3) 2022-11-23T01:30:35.6385354Z 30 LOAD_CONST 6 (4) 2022-11-23T01:30:35.6385358Z 2022-11-23T01:30:35.6385446Z 2106 32 CALL_METHOD 4 2022-11-23T01:30:35.6385530Z 34 BUILD_TUPLE 2 2022-11-23T01:30:35.6385603Z 36 RETURN_VALUE 2022-11-23T01:30:35.6385663Z 2022-11-23T01:30:35.6385668Z 2022-11-23T01:30:35.6385974Z [2022-11-23 01:24:10,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106 2022-11-23T01:30:35.6386234Z [2022-11-23 01:24:10,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6386540Z [2022-11-23 01:24:10,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable()] 2022-11-23T01:30:35.6386788Z [2022-11-23 01:24:10,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)] 2022-11-23T01:30:35.6387079Z [2022-11-23 01:24:10,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()] 2022-11-23T01:30:35.6387410Z [2022-11-23 01:24:10,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6387767Z [2022-11-23 01:24:10,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:35.6388003Z [2022-11-23 01:24:10,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.6388281Z [2022-11-23 01:24:10,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6388524Z [2022-11-23 01:24:10,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6388850Z [2022-11-23 01:24:10,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6389148Z [2022-11-23 01:24:10,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2107 2022-11-23T01:30:35.6389419Z [2022-11-23 01:24:10,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)] 2022-11-23T01:30:35.6389721Z [2022-11-23 01:24:10,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()] 2022-11-23T01:30:35.6390076Z [2022-11-23 01:24:10,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6390378Z [2022-11-23 01:24:10,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()] 2022-11-23T01:30:35.6390714Z [2022-11-23 01:24:10,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6391089Z [2022-11-23 01:24:10,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6391395Z [2022-11-23 01:24:10,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106 2022-11-23T01:30:35.6391849Z [2022-11-23 01:24:10,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6392120Z [2022-11-23 01:24:10,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6392363Z [2022-11-23 01:24:10,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6392738Z [2022-11-23 01:24:10,086] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6392968Z [2022-11-23 01:24:10,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6393198Z [2022-11-23 01:24:10,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6393478Z [2022-11-23 01:24:10,088] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6393726Z [2022-11-23 01:24:10,094] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6393913Z [2022-11-23 01:24:10,094] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6394044Z __compiled_fn_167 .1461 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6394132Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6394253Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {} 2022-11-23T01:30:35.6394409Z call_function, add, , (elu, 2), {} 2022-11-23T01:30:35.6394580Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.6394684Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {} 2022-11-23T01:30:35.6394791Z output, output, output, ((add, elu_1),), {} 2022-11-23T01:30:35.6394799Z 2022-11-23T01:30:35.6395126Z [2022-11-23 01:24:10,095] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6395217Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6395305Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6395390Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6395480Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6395565Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6395640Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6395716Z 12 RETURN_VALUE 2022-11-23T01:30:35.6395721Z 2022-11-23T01:30:35.6395780Z 2022-11-23T01:30:35.6396100Z [2022-11-23 01:24:10,095] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6396208Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_167) 2022-11-23T01:30:35.6396297Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6396387Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6396462Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6396536Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6396636Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6396735Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6396821Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6396896Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6396994Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6397080Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6397142Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6397228Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6397301Z 26 RETURN_VALUE 2022-11-23T01:30:35.6397308Z 2022-11-23T01:30:35.6397368Z 2022-11-23T01:30:35.6397548Z [2022-11-23 01:24:10,095] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6397618Z - 2022-11-23T01:30:35.6397762Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6397814Z { 2022-11-23T01:30:35.6397955Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6398139Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6398256Z 'obj_weakref': None 2022-11-23T01:30:35.6398482Z 'guarded_class': 2022-11-23T01:30:35.6398545Z } 2022-11-23T01:30:35.6398608Z 2022-11-23T01:30:35.6398664Z - 2022-11-23T01:30:35.6398788Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6398849Z { 2022-11-23T01:30:35.6398995Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6399101Z 'code': None, 2022-11-23T01:30:35.6399344Z 'obj_weakref': 2022-11-23T01:30:35.6399598Z 'guarded_class': 2022-11-23T01:30:35.6399660Z } 2022-11-23T01:30:35.6399711Z 2022-11-23T01:30:35.6399779Z - 2022-11-23T01:30:35.6399908Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6399969Z { 2022-11-23T01:30:35.6400182Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6400350Z 'code': ['___check_obj_id(model, 140534431836064)'], 2022-11-23T01:30:35.6400457Z 'obj_weakref': None 2022-11-23T01:30:35.6400688Z 'guarded_class': 2022-11-23T01:30:35.6400752Z } 2022-11-23T01:30:35.6400813Z 2022-11-23T01:30:35.6400881Z - 2022-11-23T01:30:35.6401004Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6401067Z { 2022-11-23T01:30:35.6401189Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6401410Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6401528Z 'obj_weakref': None 2022-11-23T01:30:35.6401748Z 'guarded_class': 2022-11-23T01:30:35.6401811Z } 2022-11-23T01:30:35.6401874Z 2022-11-23T01:30:35.6401942Z - 2022-11-23T01:30:35.6402058Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6402122Z { 2022-11-23T01:30:35.6402238Z 'guard_types': None, 2022-11-23T01:30:35.6402343Z 'code': None, 2022-11-23T01:30:35.6402459Z 'obj_weakref': None 2022-11-23T01:30:35.6402577Z 'guarded_class': None 2022-11-23T01:30:35.6402641Z } 2022-11-23T01:30:35.6402693Z 2022-11-23T01:30:35.6402954Z [2022-11-23 01:24:10,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166 2022-11-23T01:30:35.6403175Z [2022-11-23 01:24:10,113] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:30:35.6403262Z target: aten.expm1.default 2022-11-23T01:30:35.6403351Z args[0]: TensorBox(StorageBox( 2022-11-23T01:30:35.6403421Z Pointwise( 2022-11-23T01:30:35.6403507Z 'cpu', 2022-11-23T01:30:35.6403567Z torch.float32, 2022-11-23T01:30:35.6403685Z load(arg0_1, i1 + 16 * i0) * constant(1.0, torch.float32), 2022-11-23T01:30:35.6403756Z ranges=[16, 16], 2022-11-23T01:30:35.6403833Z origins={arg0_1, mul_1} 2022-11-23T01:30:35.6403894Z ) 2022-11-23T01:30:35.6403954Z )) 2022-11-23T01:30:35.6404260Z [2022-11-23 01:24:10,114] torch._inductor.lowering: [WARNING] make_fallback(aten.expm1.default): a decomposition exists, we should switch to it 2022-11-23T01:30:35.6404503Z [2022-11-23 01:24:10,117] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default 2022-11-23T01:30:35.6404928Z [2022-11-23 01:24:10,123] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default 2022-11-23T01:30:35.6405295Z [2022-11-23 01:24:11,683] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu75w5uh7bd2owlbwssrbf5bcmmh7rchudzibfvlvah722njs2om.py 2022-11-23T01:30:35.6405558Z [2022-11-23 01:24:11,683] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166 2022-11-23T01:30:35.6405564Z 2022-11-23T01:30:35.6405658Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6405727Z import torch 2022-11-23T01:30:35.6405796Z import random 2022-11-23T01:30:35.6405911Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6406017Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6406035Z 2022-11-23T01:30:35.6406101Z aten = torch.ops.aten 2022-11-23T01:30:35.6406270Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6406362Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6406367Z 2022-11-23T01:30:35.6406371Z 2022-11-23T01:30:35.6406508Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6406713Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6406830Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6406930Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6407026Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6407075Z { 2022-11-23T01:30:35.6407173Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6407236Z { 2022-11-23T01:30:35.6407315Z #pragma omp for 2022-11-23T01:30:35.6407396Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.6407460Z { 2022-11-23T01:30:35.6407587Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6407726Z auto tmp1 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:30:35.6407810Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.6407944Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.6408027Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.6408157Z auto tmp5 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:30:35.6408240Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:35.6408330Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6408408Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6408472Z } 2022-11-23T01:30:35.6408566Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6408649Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.6408711Z { 2022-11-23T01:30:35.6408793Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6408893Z auto tmp1 = static_cast(1.0); 2022-11-23T01:30:35.6408966Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.6409064Z auto tmp3 = static_cast(1); 2022-11-23T01:30:35.6409148Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.6409249Z auto tmp5 = static_cast(4); 2022-11-23T01:30:35.6409332Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:35.6409411Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6409487Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.6409535Z } 2022-11-23T01:30:35.6409597Z } 2022-11-23T01:30:35.6409658Z } 2022-11-23T01:30:35.6409736Z ''') 2022-11-23T01:30:35.6409741Z 2022-11-23T01:30:35.6409745Z 2022-11-23T01:30:35.6409879Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.6410081Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6410197Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.6410286Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.6410391Z const float* __restrict__ in_ptr0) 2022-11-23T01:30:35.6410452Z { 2022-11-23T01:30:35.6410548Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6410638Z { 2022-11-23T01:30:35.6410720Z #pragma omp for 2022-11-23T01:30:35.6410802Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.6410851Z { 2022-11-23T01:30:35.6410916Z { 2022-11-23T01:30:35.6410983Z { 2022-11-23T01:30:35.6411077Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6411172Z auto tmp5 = in_out_ptr0[i0]; 2022-11-23T01:30:35.6411267Z auto tmp16 = in_out_ptr1[i0]; 2022-11-23T01:30:35.6411370Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.6411447Z auto tmp2 = tmp0 > tmp1; 2022-11-23T01:30:35.6411557Z auto tmp3 = static_cast(1.0507009873554805); 2022-11-23T01:30:35.6411646Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6411788Z auto tmp6 = static_cast(1.7580993408473766); 2022-11-23T01:30:35.6411877Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:30:35.6411975Z auto tmp8 = tmp2 ? tmp4 : tmp7; 2022-11-23T01:30:35.6412077Z auto tmp9 = static_cast(2); 2022-11-23T01:30:35.6412157Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:35.6412259Z auto tmp11 = static_cast(1); 2022-11-23T01:30:35.6412350Z auto tmp12 = tmp0 + tmp11; 2022-11-23T01:30:35.6412443Z auto tmp13 = tmp12 > tmp1; 2022-11-23T01:30:35.6412545Z auto tmp14 = static_cast(3); 2022-11-23T01:30:35.6412637Z auto tmp15 = tmp12 * tmp14; 2022-11-23T01:30:35.6412736Z auto tmp17 = static_cast(6); 2022-11-23T01:30:35.6412825Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:30:35.6412909Z auto tmp19 = tmp13 ? tmp15 : tmp18; 2022-11-23T01:30:35.6412999Z in_out_ptr0[i0] = tmp10; 2022-11-23T01:30:35.6413085Z in_out_ptr1[i0] = tmp19; 2022-11-23T01:30:35.6413155Z } 2022-11-23T01:30:35.6413218Z } 2022-11-23T01:30:35.6413281Z } 2022-11-23T01:30:35.6413330Z } 2022-11-23T01:30:35.6413390Z } 2022-11-23T01:30:35.6413469Z ''') 2022-11-23T01:30:35.6413474Z 2022-11-23T01:30:35.6413478Z 2022-11-23T01:30:35.6413571Z async_compile.wait(globals()) 2022-11-23T01:30:35.6413643Z del async_compile 2022-11-23T01:30:35.6413648Z 2022-11-23T01:30:35.6413718Z def call(args): 2022-11-23T01:30:35.6413786Z arg0_1, = args 2022-11-23T01:30:35.6413856Z args.clear() 2022-11-23T01:30:35.6414043Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6414242Z buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6414405Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:35.6414523Z buf1 = torch.ops.aten.expm1.default(buf0) 2022-11-23T01:30:35.6414587Z del buf0 2022-11-23T01:30:35.6414656Z buf2 = buf1 2022-11-23T01:30:35.6414752Z assert_size_stride(buf2, (16, 16), (16, 1)) 2022-11-23T01:30:35.6414804Z del buf1 2022-11-23T01:30:35.6414919Z buf4 = torch.ops.aten.expm1.default(buf3) 2022-11-23T01:30:35.6414982Z del buf3 2022-11-23T01:30:35.6415049Z buf5 = buf4 2022-11-23T01:30:35.6415143Z assert_size_stride(buf5, (16, 16), (16, 1)) 2022-11-23T01:30:35.6415206Z del buf4 2022-11-23T01:30:35.6415289Z buf6 = buf2; del buf2 # reuse 2022-11-23T01:30:35.6415357Z buf7 = buf5; del buf5 # reuse 2022-11-23T01:30:35.6415515Z kernel_cpp_1(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:30:35.6415583Z del arg0_1 2022-11-23T01:30:35.6415661Z return (buf6, buf7, ) 2022-11-23T01:30:35.6415668Z 2022-11-23T01:30:35.6415672Z 2022-11-23T01:30:35.6415748Z if __name__ == "__main__": 2022-11-23T01:30:35.6415862Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6416011Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6416200Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6416308Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6416312Z 2022-11-23T01:30:35.6416378Z ok (1.628s) 2022-11-23T01:30:35.6416694Z test_embedding_bag_cpu (__main__.CpuTests) ... [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6417009Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6417228Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6417514Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6417790Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6418109Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6418456Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6418762Z [2022-11-23 01:24:11,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6419138Z [2022-11-23 01:24:11,690] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6419234Z 2304 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6419340Z 2 LOAD_METHOD 1 (_embedding_bag) 2022-11-23T01:30:35.6419431Z 4 LOAD_FAST 0 (w) 2022-11-23T01:30:35.6419520Z 6 LOAD_FAST 1 (i) 2022-11-23T01:30:35.6419605Z 8 LOAD_FAST 2 (o) 2022-11-23T01:30:35.6419697Z 10 LOAD_CONST 1 (False) 2022-11-23T01:30:35.6419770Z 12 LOAD_CONST 2 (0) 2022-11-23T01:30:35.6419861Z 14 LOAD_CONST 1 (False) 2022-11-23T01:30:35.6419950Z 16 LOAD_CONST 0 (None) 2022-11-23T01:30:35.6420037Z 18 CALL_METHOD 7 2022-11-23T01:30:35.6420112Z 20 RETURN_VALUE 2022-11-23T01:30:35.6420172Z 2022-11-23T01:30:35.6420177Z 2022-11-23T01:30:35.6420495Z [2022-11-23 01:24:11,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2304 2022-11-23T01:30:35.6420714Z [2022-11-23 01:24:11,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6421020Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable()] 2022-11-23T01:30:35.6421283Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)] 2022-11-23T01:30:35.6421573Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()] 2022-11-23T01:30:35.6421888Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6422245Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6422666Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.6423103Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:30:35.6423575Z [2022-11-23 01:24:11,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:35.6424099Z [2022-11-23 01:24:11,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:30:35.6424376Z [2022-11-23 01:24:11,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6424754Z [2022-11-23 01:24:11,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6424999Z [2022-11-23 01:24:11,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6425231Z [2022-11-23 01:24:11,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6425468Z [2022-11-23 01:24:11,700] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6425715Z [2022-11-23 01:24:11,705] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6425903Z [2022-11-23 01:24:11,705] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6426037Z __compiled_fn_168 .1467 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6426124Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6426209Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6426291Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.6426454Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {} 2022-11-23T01:30:35.6426646Z call_function, getitem, , (_embedding_bag, 0), {} 2022-11-23T01:30:35.6426849Z call_function, getitem_1, , (_embedding_bag, 1), {} 2022-11-23T01:30:35.6427050Z call_function, getitem_2, , (_embedding_bag, 2), {} 2022-11-23T01:30:35.6427249Z call_function, getitem_3, , (_embedding_bag, 3), {} 2022-11-23T01:30:35.6427383Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:30:35.6427391Z 2022-11-23T01:30:35.6427717Z [2022-11-23 01:24:11,706] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6427810Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6427902Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6427975Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6428065Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6428148Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6428235Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6428310Z 12 RETURN_VALUE 2022-11-23T01:30:35.6428315Z 2022-11-23T01:30:35.6428375Z 2022-11-23T01:30:35.6428696Z [2022-11-23 01:24:11,706] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6428805Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_168) 2022-11-23T01:30:35.6428881Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6428996Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6429075Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6429162Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6429249Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6429322Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6429407Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6429479Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6429553Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.6429639Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.6429741Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6429841Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6429927Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6430040Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6430128Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6430216Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6430288Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6430387Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6430474Z 38 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6430546Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.6430644Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6430716Z 44 LOAD_CONST 4 (3) 2022-11-23T01:30:35.6430790Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.6430876Z 48 BUILD_TUPLE 4 2022-11-23T01:30:35.6430951Z 50 RETURN_VALUE 2022-11-23T01:30:35.6430956Z 2022-11-23T01:30:35.6431017Z 2022-11-23T01:30:35.6431197Z [2022-11-23 01:24:11,706] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6431270Z - 2022-11-23T01:30:35.6431375Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6431438Z { 2022-11-23T01:30:35.6431579Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6431763Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.6431881Z 'obj_weakref': None 2022-11-23T01:30:35.6432105Z 'guarded_class': 2022-11-23T01:30:35.6432169Z } 2022-11-23T01:30:35.6432230Z 2022-11-23T01:30:35.6432286Z - 2022-11-23T01:30:35.6432408Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6432472Z { 2022-11-23T01:30:35.6432613Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6432717Z 'code': None, 2022-11-23T01:30:35.6432928Z 'obj_weakref': 2022-11-23T01:30:35.6433181Z 'guarded_class': 2022-11-23T01:30:35.6433231Z } 2022-11-23T01:30:35.6433295Z 2022-11-23T01:30:35.6433364Z - 2022-11-23T01:30:35.6433486Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6433547Z { 2022-11-23T01:30:35.6433686Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6433778Z 'code': None, 2022-11-23T01:30:35.6433981Z 'obj_weakref': 2022-11-23T01:30:35.6434227Z 'guarded_class': 2022-11-23T01:30:35.6434291Z } 2022-11-23T01:30:35.6434352Z 2022-11-23T01:30:35.6434421Z - 2022-11-23T01:30:35.6434541Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.6434591Z { 2022-11-23T01:30:35.6434731Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6434834Z 'code': None, 2022-11-23T01:30:35.6435067Z 'obj_weakref': 2022-11-23T01:30:35.6435314Z 'guarded_class': 2022-11-23T01:30:35.6435378Z } 2022-11-23T01:30:35.6435439Z 2022-11-23T01:30:35.6435507Z - 2022-11-23T01:30:35.6435624Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6435686Z { 2022-11-23T01:30:35.6435819Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6435988Z 'code': ['___check_obj_id(model, 140534431038288)'], 2022-11-23T01:30:35.6436104Z 'obj_weakref': None 2022-11-23T01:30:35.6436331Z 'guarded_class': 2022-11-23T01:30:35.6436429Z } 2022-11-23T01:30:35.6436479Z 2022-11-23T01:30:35.6436548Z - 2022-11-23T01:30:35.6436667Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6436729Z { 2022-11-23T01:30:35.6436866Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6437082Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6437199Z 'obj_weakref': None 2022-11-23T01:30:35.6437409Z 'guarded_class': 2022-11-23T01:30:35.6437471Z } 2022-11-23T01:30:35.6437533Z 2022-11-23T01:30:35.6437604Z - 2022-11-23T01:30:35.6437733Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6437796Z { 2022-11-23T01:30:35.6437901Z 'guard_types': None, 2022-11-23T01:30:35.6438006Z 'code': None, 2022-11-23T01:30:35.6438122Z 'obj_weakref': None 2022-11-23T01:30:35.6438243Z 'guarded_class': None 2022-11-23T01:30:35.6438305Z } 2022-11-23T01:30:35.6438367Z 2022-11-23T01:30:35.6438627Z [2022-11-23 01:24:11,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167 2022-11-23T01:30:35.6438842Z [2022-11-23 01:24:11,716] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag 2022-11-23T01:30:35.6439206Z [2022-11-23 01:24:11,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5acztwicuxzag22xkote3ktqanke7teylb5er5jz3r5t5ybjuf.py 2022-11-23T01:30:35.6439468Z [2022-11-23 01:24:11,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167 2022-11-23T01:30:35.6439473Z 2022-11-23T01:30:35.6439565Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6439635Z import torch 2022-11-23T01:30:35.6439704Z import random 2022-11-23T01:30:35.6439817Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6439939Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6439944Z 2022-11-23T01:30:35.6440098Z aten = torch.ops.aten 2022-11-23T01:30:35.6440225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6440316Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6440321Z 2022-11-23T01:30:35.6440325Z 2022-11-23T01:30:35.6440413Z async_compile.wait(globals()) 2022-11-23T01:30:35.6440485Z del async_compile 2022-11-23T01:30:35.6440489Z 2022-11-23T01:30:35.6440558Z def call(args): 2022-11-23T01:30:35.6440640Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.6440710Z args.clear() 2022-11-23T01:30:35.6440804Z buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1) 2022-11-23T01:30:35.6440871Z del arg0_1 2022-11-23T01:30:35.6440936Z del arg1_1 2022-11-23T01:30:35.6441001Z del arg2_1 2022-11-23T01:30:35.6441068Z buf1 = buf0[0] 2022-11-23T01:30:35.6441165Z assert_size_stride(buf1, (3, 4), (4, 1)) 2022-11-23T01:30:35.6441232Z buf2 = buf0[1] 2022-11-23T01:30:35.6441314Z assert_size_stride(buf2, (0, ), (1, )) 2022-11-23T01:30:35.6441382Z buf3 = buf0[2] 2022-11-23T01:30:35.6441473Z assert_size_stride(buf3, (3, ), (1, )) 2022-11-23T01:30:35.6441577Z buf4 = buf0[3] 2022-11-23T01:30:35.6441669Z assert_size_stride(buf4, (3, ), (1, )) 2022-11-23T01:30:35.6441731Z del buf0 2022-11-23T01:30:35.6441818Z return (buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:35.6441823Z 2022-11-23T01:30:35.6441828Z 2022-11-23T01:30:35.6441889Z if __name__ == "__main__": 2022-11-23T01:30:35.6442005Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6442125Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6442330Z arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6442521Z arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6442706Z arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6442860Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.6442865Z 2022-11-23T01:30:35.6442931Z ok (0.035s) 2022-11-23T01:30:35.6443229Z test_embedding_cpu (__main__.CpuTests) ... [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6443542Z [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6443760Z [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6444003Z [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.6444272Z [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.6444580Z [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6445030Z [2022-11-23 01:24:11,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6445346Z [2022-11-23 01:24:11,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6445728Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6445820Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.6445896Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.6445973Z 4 RETURN_VALUE 2022-11-23T01:30:35.6446035Z 2022-11-23T01:30:35.6446040Z 2022-11-23T01:30:35.6446350Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.6446564Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.6446804Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.6447052Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6447438Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6447684Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6447905Z [2022-11-23 01:24:11,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6448158Z [2022-11-23 01:24:11,729] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6448461Z [2022-11-23 01:24:11,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6448653Z [2022-11-23 01:24:11,735] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6448787Z __compiled_fn_169 .1473 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6448876Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6448975Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.6449075Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.6449160Z output, output, output, ((model_1,),), {} 2022-11-23T01:30:35.6449178Z 2022-11-23T01:30:35.6449490Z [2022-11-23 01:24:11,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6449583Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6449710Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6449800Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6449896Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6449981Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6450068Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6450130Z 12 RETURN_VALUE 2022-11-23T01:30:35.6450135Z 2022-11-23T01:30:35.6450199Z 2022-11-23T01:30:35.6450525Z [2022-11-23 01:24:11,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6450635Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_169) 2022-11-23T01:30:35.6450723Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6450811Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6450887Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6450973Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6451066Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6451167Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6451258Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6451336Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6451423Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.6451497Z 20 RETURN_VALUE 2022-11-23T01:30:35.6451502Z 2022-11-23T01:30:35.6451562Z 2022-11-23T01:30:35.6451730Z [2022-11-23 01:24:11,736] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6451801Z - 2022-11-23T01:30:35.6451919Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6451983Z { 2022-11-23T01:30:35.6452122Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6452306Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6452426Z 'obj_weakref': None 2022-11-23T01:30:35.6452643Z 'guarded_class': 2022-11-23T01:30:35.6452708Z } 2022-11-23T01:30:35.6452774Z 2022-11-23T01:30:35.6452844Z - 2022-11-23T01:30:35.6452967Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6453030Z { 2022-11-23T01:30:35.6453169Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6453262Z 'code': None, 2022-11-23T01:30:35.6453473Z 'obj_weakref': 2022-11-23T01:30:35.6453721Z 'guarded_class': 2022-11-23T01:30:35.6453786Z } 2022-11-23T01:30:35.6453850Z 2022-11-23T01:30:35.6453918Z - 2022-11-23T01:30:35.6454036Z local 'model' NN_MODULE 2022-11-23T01:30:35.6454086Z { 2022-11-23T01:30:35.6454220Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6454390Z 'code': ['___check_obj_id(model, 140534619825312)'], 2022-11-23T01:30:35.6454638Z 'obj_weakref': 2022-11-23T01:30:35.6454874Z 'guarded_class': 2022-11-23T01:30:35.6454939Z } 2022-11-23T01:30:35.6455004Z 2022-11-23T01:30:35.6455060Z - 2022-11-23T01:30:35.6455183Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6455244Z { 2022-11-23T01:30:35.6455378Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6455592Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6455708Z 'obj_weakref': None 2022-11-23T01:30:35.6455926Z 'guarded_class': 2022-11-23T01:30:35.6456006Z } 2022-11-23T01:30:35.6456071Z 2022-11-23T01:30:35.6456141Z - 2022-11-23T01:30:35.6456284Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.6456348Z { 2022-11-23T01:30:35.6456467Z 'guard_types': None, 2022-11-23T01:30:35.6456572Z 'code': None, 2022-11-23T01:30:35.6456676Z 'obj_weakref': None 2022-11-23T01:30:35.6456795Z 'guarded_class': None 2022-11-23T01:30:35.6456856Z } 2022-11-23T01:30:35.6456919Z 2022-11-23T01:30:35.6456987Z - 2022-11-23T01:30:35.6457128Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.6457190Z { 2022-11-23T01:30:35.6457294Z 'guard_types': None, 2022-11-23T01:30:35.6457399Z 'code': None, 2022-11-23T01:30:35.6457515Z 'obj_weakref': None 2022-11-23T01:30:35.6457632Z 'guarded_class': None 2022-11-23T01:30:35.6457697Z } 2022-11-23T01:30:35.6457761Z 2022-11-23T01:30:35.6457816Z - 2022-11-23T01:30:35.6457958Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:30:35.6458020Z { 2022-11-23T01:30:35.6458138Z 'guard_types': None, 2022-11-23T01:30:35.6458242Z 'code': None, 2022-11-23T01:30:35.6458356Z 'obj_weakref': None 2022-11-23T01:30:35.6458473Z 'guarded_class': None 2022-11-23T01:30:35.6458523Z } 2022-11-23T01:30:35.6458587Z 2022-11-23T01:30:35.6458845Z [2022-11-23 01:24:11,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168 2022-11-23T01:30:35.6459215Z [2022-11-23 01:24:13,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yp/cypdojjpq3tpkalb6d23trbugyrssbaawyn6vrpqmwmh4tq7yf4e.py 2022-11-23T01:30:35.6459479Z [2022-11-23 01:24:13,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168 2022-11-23T01:30:35.6459486Z 2022-11-23T01:30:35.6459580Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6459648Z import torch 2022-11-23T01:30:35.6459716Z import random 2022-11-23T01:30:35.6459820Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6459942Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6459947Z 2022-11-23T01:30:35.6460022Z aten = torch.ops.aten 2022-11-23T01:30:35.6460155Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6460245Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6460250Z 2022-11-23T01:30:35.6460254Z 2022-11-23T01:30:35.6460385Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6460587Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6460707Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6460798Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6460896Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6460993Z bool* __restrict__ out_ptr1, 2022-11-23T01:30:35.6461087Z long* __restrict__ out_ptr2) 2022-11-23T01:30:35.6461174Z { 2022-11-23T01:30:35.6461273Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6461336Z { 2022-11-23T01:30:35.6461399Z #pragma omp for 2022-11-23T01:30:35.6461481Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.6461542Z { 2022-11-23T01:30:35.6461620Z #pragma GCC ivdep 2022-11-23T01:30:35.6461701Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.6461764Z { 2022-11-23T01:30:35.6461826Z { 2022-11-23T01:30:35.6461881Z { 2022-11-23T01:30:35.6461974Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6462078Z auto tmp1 = in_ptr1[i1 + (4*tmp0)]; 2022-11-23T01:30:35.6462175Z auto tmp2 = tmp1 * (tmp1>0); 2022-11-23T01:30:35.6462303Z out_ptr0[i1 + (4*i0)] = tmp2; 2022-11-23T01:30:35.6462368Z } 2022-11-23T01:30:35.6462431Z } 2022-11-23T01:30:35.6462483Z } 2022-11-23T01:30:35.6462543Z } 2022-11-23T01:30:35.6462621Z #pragma omp for 2022-11-23T01:30:35.6462701Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.6462762Z { 2022-11-23T01:30:35.6462823Z { 2022-11-23T01:30:35.6462873Z { 2022-11-23T01:30:35.6462967Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:35.6463070Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.6463163Z auto tmp2 = tmp0 <= tmp1; 2022-11-23T01:30:35.6463246Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.6463310Z } 2022-11-23T01:30:35.6463374Z } 2022-11-23T01:30:35.6463423Z } 2022-11-23T01:30:35.6463499Z #pragma omp for 2022-11-23T01:30:35.6463577Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.6463641Z { 2022-11-23T01:30:35.6463703Z { 2022-11-23T01:30:35.6463765Z { 2022-11-23T01:30:35.6463857Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6463949Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:35.6464051Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.6464133Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:35.6464196Z } 2022-11-23T01:30:35.6464258Z } 2022-11-23T01:30:35.6464319Z } 2022-11-23T01:30:35.6464380Z } 2022-11-23T01:30:35.6464427Z } 2022-11-23T01:30:35.6464506Z ''') 2022-11-23T01:30:35.6464511Z 2022-11-23T01:30:35.6464515Z 2022-11-23T01:30:35.6464603Z async_compile.wait(globals()) 2022-11-23T01:30:35.6464675Z del async_compile 2022-11-23T01:30:35.6464680Z 2022-11-23T01:30:35.6464749Z def call(args): 2022-11-23T01:30:35.6464833Z primals_1, primals_2 = args 2022-11-23T01:30:35.6464905Z args.clear() 2022-11-23T01:30:35.6465097Z buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6465294Z buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.6465482Z buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6465699Z kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.6465773Z del primals_1 2022-11-23T01:30:35.6465841Z del primals_2 2022-11-23T01:30:35.6465922Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.6465926Z 2022-11-23T01:30:35.6465930Z 2022-11-23T01:30:35.6466004Z if __name__ == "__main__": 2022-11-23T01:30:35.6466105Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6466225Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6466427Z primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6466626Z primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6466783Z print_performance(lambda: call([primals_1, primals_2])) 2022-11-23T01:30:35.6466789Z 2022-11-23T01:30:35.6466856Z ok (1.534s) 2022-11-23T01:30:35.6467157Z test_exp_cpu (__main__.CpuTests) ... [2022-11-23 01:24:13,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6467472Z [2022-11-23 01:24:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6467687Z [2022-11-23 01:24:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6467928Z [2022-11-23 01:24:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6468201Z [2022-11-23 01:24:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6468551Z [2022-11-23 01:24:13,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6468897Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6469219Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6469593Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6469686Z 1001 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6469778Z 2 LOAD_METHOD 1 (exp) 2022-11-23T01:30:35.6469870Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6469946Z 6 CALL_METHOD 1 2022-11-23T01:30:35.6470040Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6470130Z 10 LOAD_METHOD 1 (exp) 2022-11-23T01:30:35.6470219Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6470305Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6470377Z 16 BINARY_ADD 2022-11-23T01:30:35.6470463Z 18 CALL_METHOD 1 2022-11-23T01:30:35.6470538Z 20 BUILD_TUPLE 2 2022-11-23T01:30:35.6470613Z 22 RETURN_VALUE 2022-11-23T01:30:35.6470673Z 2022-11-23T01:30:35.6470678Z 2022-11-23T01:30:35.6470990Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1001 2022-11-23T01:30:35.6471205Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6471574Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable()] 2022-11-23T01:30:35.6471889Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6472240Z [2022-11-23 01:24:13,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6472487Z [2022-11-23 01:24:13,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.6472881Z [2022-11-23 01:24:13,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6473283Z [2022-11-23 01:24:13,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6473657Z [2022-11-23 01:24:13,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6474070Z [2022-11-23 01:24:13,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6474450Z [2022-11-23 01:24:13,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6474717Z [2022-11-23 01:24:13,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6475006Z [2022-11-23 01:24:13,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6475389Z [2022-11-23 01:24:13,263] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6475637Z [2022-11-23 01:24:13,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6475872Z [2022-11-23 01:24:13,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6476123Z [2022-11-23 01:24:13,264] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6476369Z [2022-11-23 01:24:13,269] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6476544Z [2022-11-23 01:24:13,269] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6476680Z __compiled_fn_170 .1484 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6476768Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6476856Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6477076Z call_function, exp, , (ex_0_,), {} 2022-11-23T01:30:35.6477253Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6477472Z call_function, exp_1, , (add,), {} 2022-11-23T01:30:35.6477576Z output, output, output, ((exp, exp_1),), {} 2022-11-23T01:30:35.6477582Z 2022-11-23T01:30:35.6477896Z [2022-11-23 01:24:13,269] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6477990Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6478082Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6478170Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6478263Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6478350Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6478439Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6478512Z 12 RETURN_VALUE 2022-11-23T01:30:35.6478517Z 2022-11-23T01:30:35.6478565Z 2022-11-23T01:30:35.6478888Z [2022-11-23 01:24:13,269] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6478995Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_170) 2022-11-23T01:30:35.6479083Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6479172Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6479247Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6479335Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6479413Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6479488Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6479575Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6479706Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6479810Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6479898Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6479972Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6480137Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6480226Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6480299Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6480384Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.6480458Z 32 RETURN_VALUE 2022-11-23T01:30:35.6480462Z 2022-11-23T01:30:35.6480522Z 2022-11-23T01:30:35.6480709Z [2022-11-23 01:24:13,270] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6480813Z - 2022-11-23T01:30:35.6480920Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6480983Z { 2022-11-23T01:30:35.6481123Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6481310Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6481428Z 'obj_weakref': None 2022-11-23T01:30:35.6481651Z 'guarded_class': 2022-11-23T01:30:35.6481714Z } 2022-11-23T01:30:35.6481764Z 2022-11-23T01:30:35.6481832Z - 2022-11-23T01:30:35.6481954Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6482017Z { 2022-11-23T01:30:35.6482157Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6482263Z 'code': None, 2022-11-23T01:30:35.6482475Z 'obj_weakref': 2022-11-23T01:30:35.6482714Z 'guarded_class': 2022-11-23T01:30:35.6482780Z } 2022-11-23T01:30:35.6482844Z 2022-11-23T01:30:35.6482916Z - 2022-11-23T01:30:35.6483036Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6483099Z { 2022-11-23T01:30:35.6483240Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6483332Z 'code': None, 2022-11-23T01:30:35.6483540Z 'obj_weakref': 2022-11-23T01:30:35.6483786Z 'guarded_class': 2022-11-23T01:30:35.6483851Z } 2022-11-23T01:30:35.6483912Z 2022-11-23T01:30:35.6483981Z - 2022-11-23T01:30:35.6484111Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6484162Z { 2022-11-23T01:30:35.6484295Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6484467Z 'code': ['___check_obj_id(model, 140534427715616)'], 2022-11-23T01:30:35.6484586Z 'obj_weakref': None 2022-11-23T01:30:35.6484926Z 'guarded_class': 2022-11-23T01:30:35.6484992Z } 2022-11-23T01:30:35.6485054Z 2022-11-23T01:30:35.6485111Z - 2022-11-23T01:30:35.6485231Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6485293Z { 2022-11-23T01:30:35.6485430Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6485647Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6485765Z 'obj_weakref': None 2022-11-23T01:30:35.6485986Z 'guarded_class': 2022-11-23T01:30:35.6486036Z } 2022-11-23T01:30:35.6486098Z 2022-11-23T01:30:35.6486170Z - 2022-11-23T01:30:35.6486303Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6486365Z { 2022-11-23T01:30:35.6486484Z 'guard_types': None, 2022-11-23T01:30:35.6486620Z 'code': None, 2022-11-23T01:30:35.6486740Z 'obj_weakref': None 2022-11-23T01:30:35.6486859Z 'guarded_class': None 2022-11-23T01:30:35.6486922Z } 2022-11-23T01:30:35.6486985Z 2022-11-23T01:30:35.6487246Z [2022-11-23 01:24:13,276] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169 2022-11-23T01:30:35.6487613Z [2022-11-23 01:24:14,762] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2s/c2sg6lfinkb7gww2ydafkrib6anqk44lsqsl4xfqvgfeknahchcb.py 2022-11-23T01:30:35.6487875Z [2022-11-23 01:24:14,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169 2022-11-23T01:30:35.6487880Z 2022-11-23T01:30:35.6487959Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6488064Z import torch 2022-11-23T01:30:35.6488133Z import random 2022-11-23T01:30:35.6488248Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6488371Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6488375Z 2022-11-23T01:30:35.6488452Z aten = torch.ops.aten 2022-11-23T01:30:35.6488586Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6488677Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6488682Z 2022-11-23T01:30:35.6488686Z 2022-11-23T01:30:35.6488807Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6489013Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6489132Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6489239Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6489336Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6489434Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6489497Z { 2022-11-23T01:30:35.6489581Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6489644Z { 2022-11-23T01:30:35.6489723Z #pragma omp for 2022-11-23T01:30:35.6489808Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.6489870Z { 2022-11-23T01:30:35.6490015Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6490146Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.6490231Z auto tmp1 = tmp0.exp(); 2022-11-23T01:30:35.6490303Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.6490384Z auto tmp4 = tmp3.exp(); 2022-11-23T01:30:35.6490475Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6490564Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6490626Z } 2022-11-23T01:30:35.6490722Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6490806Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.6490854Z { 2022-11-23T01:30:35.6490937Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6491021Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:35.6491109Z auto tmp1 = std::exp(tmp0); 2022-11-23T01:30:35.6491191Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.6491278Z auto tmp4 = std::exp(tmp3); 2022-11-23T01:30:35.6491357Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.6491420Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:35.6491481Z } 2022-11-23T01:30:35.6491542Z } 2022-11-23T01:30:35.6491602Z } 2022-11-23T01:30:35.6491680Z ''') 2022-11-23T01:30:35.6491685Z 2022-11-23T01:30:35.6491689Z 2022-11-23T01:30:35.6491778Z async_compile.wait(globals()) 2022-11-23T01:30:35.6491849Z del async_compile 2022-11-23T01:30:35.6491854Z 2022-11-23T01:30:35.6491910Z def call(args): 2022-11-23T01:30:35.6491984Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6492053Z args.clear() 2022-11-23T01:30:35.6492251Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6492472Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6492663Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6492732Z del arg0_1 2022-11-23T01:30:35.6492786Z del arg1_1 2022-11-23T01:30:35.6492860Z return (buf0, buf1, ) 2022-11-23T01:30:35.6492865Z 2022-11-23T01:30:35.6492869Z 2022-11-23T01:30:35.6492944Z if __name__ == "__main__": 2022-11-23T01:30:35.6493061Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6493182Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6493376Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6493571Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6493714Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6493719Z 2022-11-23T01:30:35.6493772Z ok (1.509s) 2022-11-23T01:30:35.6494085Z test_expand_as_cpu (__main__.CpuTests) ... [2022-11-23 01:24:14,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6494402Z [2022-11-23 01:24:14,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6494620Z [2022-11-23 01:24:14,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6494875Z [2022-11-23 01:24:14,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6495152Z [2022-11-23 01:24:14,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6495469Z [2022-11-23 01:24:14,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6495821Z [2022-11-23 01:24:14,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6496142Z [2022-11-23 01:24:14,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6496512Z [2022-11-23 01:24:14,769] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6496592Z 3437 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6496690Z 2 LOAD_METHOD 1 (expand_as) 2022-11-23T01:30:35.6496780Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6496871Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6496961Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6497052Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6497150Z 12 LOAD_METHOD 1 (expand_as) 2022-11-23T01:30:35.6497237Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6497311Z 16 LOAD_CONST 1 (1) 2022-11-23T01:30:35.6497382Z 18 BINARY_ADD 2022-11-23T01:30:35.6497469Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6497554Z 22 LOAD_CONST 1 (1) 2022-11-23T01:30:35.6497624Z 24 BINARY_ADD 2022-11-23T01:30:35.6497711Z 26 CALL_METHOD 2 2022-11-23T01:30:35.6497798Z 28 LOAD_CONST 1 (1) 2022-11-23T01:30:35.6497856Z 30 BINARY_ADD 2022-11-23T01:30:35.6497943Z 32 BUILD_TUPLE 2 2022-11-23T01:30:35.6498018Z 34 RETURN_VALUE 2022-11-23T01:30:35.6498079Z 2022-11-23T01:30:35.6498086Z 2022-11-23T01:30:35.6498402Z [2022-11-23 01:24:14,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3437 2022-11-23T01:30:35.6498645Z [2022-11-23 01:24:14,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6498960Z [2022-11-23 01:24:14,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable()] 2022-11-23T01:30:35.6499216Z [2022-11-23 01:24:14,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)] 2022-11-23T01:30:35.6499485Z [2022-11-23 01:24:14,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()] 2022-11-23T01:30:35.6499804Z [2022-11-23 01:24:14,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6500045Z [2022-11-23 01:24:14,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6500417Z [2022-11-23 01:24:14,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6500698Z [2022-11-23 01:24:14,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)] 2022-11-23T01:30:35.6501010Z [2022-11-23 01:24:14,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()] 2022-11-23T01:30:35.6501367Z [2022-11-23 01:24:14,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6501675Z [2022-11-23 01:24:14,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()] 2022-11-23T01:30:35.6502020Z [2022-11-23 01:24:14,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6502412Z [2022-11-23 01:24:14,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6502759Z [2022-11-23 01:24:14,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6503011Z [2022-11-23 01:24:14,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6503316Z [2022-11-23 01:24:14,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6503583Z [2022-11-23 01:24:14,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6503832Z [2022-11-23 01:24:14,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6504211Z [2022-11-23 01:24:14,786] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6504457Z [2022-11-23 01:24:14,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6504690Z [2022-11-23 01:24:14,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6504944Z [2022-11-23 01:24:14,788] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6505190Z [2022-11-23 01:24:14,793] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6505380Z [2022-11-23 01:24:14,794] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6505500Z __compiled_fn_171 .1490 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6505619Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6505709Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6505832Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6506006Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.6506180Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:30:35.6506303Z call_function, expand_as_1, aten.expand_as, (add, add_1), {} 2022-11-23T01:30:35.6506487Z call_function, add_2, , (expand_as_1, 1), {} 2022-11-23T01:30:35.6506583Z output, output, output, ((expand_as, add_2),), {} 2022-11-23T01:30:35.6506588Z 2022-11-23T01:30:35.6506915Z [2022-11-23 01:24:14,794] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6507039Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6507128Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6507215Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6507305Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6507389Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6507464Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6507539Z 12 RETURN_VALUE 2022-11-23T01:30:35.6507544Z 2022-11-23T01:30:35.6507603Z 2022-11-23T01:30:35.6507929Z [2022-11-23 01:24:14,794] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6508035Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_171) 2022-11-23T01:30:35.6508123Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6508210Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6508288Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6508363Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6508455Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6508528Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6508616Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6508717Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6508816Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6508902Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6508963Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6509062Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6509148Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6509224Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6509309Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.6509383Z 32 RETURN_VALUE 2022-11-23T01:30:35.6509390Z 2022-11-23T01:30:35.6509449Z 2022-11-23T01:30:35.6509629Z [2022-11-23 01:24:14,795] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6509686Z - 2022-11-23T01:30:35.6509806Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6509868Z { 2022-11-23T01:30:35.6510005Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6510191Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6510308Z 'obj_weakref': None 2022-11-23T01:30:35.6510534Z 'guarded_class': 2022-11-23T01:30:35.6510585Z } 2022-11-23T01:30:35.6510645Z 2022-11-23T01:30:35.6510715Z - 2022-11-23T01:30:35.6510837Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6510899Z { 2022-11-23T01:30:35.6511039Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6511135Z 'code': None, 2022-11-23T01:30:35.6511344Z 'obj_weakref': 2022-11-23T01:30:35.6511625Z 'guarded_class': 2022-11-23T01:30:35.6511689Z } 2022-11-23T01:30:35.6511752Z 2022-11-23T01:30:35.6511822Z - 2022-11-23T01:30:35.6511944Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6511993Z { 2022-11-23T01:30:35.6512132Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6512236Z 'code': None, 2022-11-23T01:30:35.6512445Z 'obj_weakref': 2022-11-23T01:30:35.6512689Z 'guarded_class': 2022-11-23T01:30:35.6512751Z } 2022-11-23T01:30:35.6512814Z 2022-11-23T01:30:35.6512910Z - 2022-11-23T01:30:35.6513027Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6513088Z { 2022-11-23T01:30:35.6513220Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6513388Z 'code': ['___check_obj_id(model, 140534729224784)'], 2022-11-23T01:30:35.6513505Z 'obj_weakref': None 2022-11-23T01:30:35.6513733Z 'guarded_class': 2022-11-23T01:30:35.6513795Z } 2022-11-23T01:30:35.6513845Z 2022-11-23T01:30:35.6513914Z - 2022-11-23T01:30:35.6514035Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6514097Z { 2022-11-23T01:30:35.6514231Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6514448Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6514564Z 'obj_weakref': None 2022-11-23T01:30:35.6514777Z 'guarded_class': 2022-11-23T01:30:35.6514839Z } 2022-11-23T01:30:35.6514900Z 2022-11-23T01:30:35.6515036Z - 2022-11-23T01:30:35.6515165Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6515226Z { 2022-11-23T01:30:35.6515332Z 'guard_types': None, 2022-11-23T01:30:35.6515436Z 'code': None, 2022-11-23T01:30:35.6515552Z 'obj_weakref': None 2022-11-23T01:30:35.6515673Z 'guarded_class': None 2022-11-23T01:30:35.6515734Z } 2022-11-23T01:30:35.6515796Z 2022-11-23T01:30:35.6516053Z [2022-11-23 01:24:14,803] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170 2022-11-23T01:30:35.6516420Z [2022-11-23 01:24:16,293] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gc/cgc4sppfbnuv7x6evokp26hk6frlkt3snce3bfthswat4grwpm4d.py 2022-11-23T01:30:35.6516672Z [2022-11-23 01:24:16,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170 2022-11-23T01:30:35.6516678Z 2022-11-23T01:30:35.6516774Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6516842Z import torch 2022-11-23T01:30:35.6516911Z import random 2022-11-23T01:30:35.6517024Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6517143Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6517148Z 2022-11-23T01:30:35.6517225Z aten = torch.ops.aten 2022-11-23T01:30:35.6517344Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6517436Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6517441Z 2022-11-23T01:30:35.6517445Z 2022-11-23T01:30:35.6517576Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6517782Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6517900Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6518007Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6518067Z { 2022-11-23T01:30:35.6518163Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6518244Z { 2022-11-23T01:30:35.6518336Z #pragma omp for collapse(2) 2022-11-23T01:30:35.6518416Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:35.6518477Z { 2022-11-23T01:30:35.6518563Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:35.6518625Z { 2022-11-23T01:30:35.6518712Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:30:35.6518764Z { 2022-11-23T01:30:35.6518909Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (100*i0)); 2022-11-23T01:30:35.6519047Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.6519138Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6519225Z auto tmp3 = tmp2 + tmp1; 2022-11-23T01:30:35.6519381Z tmp3.store(out_ptr0 + (8*i2) + (100*i1) + (12800*i0)); 2022-11-23T01:30:35.6519445Z } 2022-11-23T01:30:35.6519542Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.6519619Z for(long i2=96; i2<100; i2+=1) 2022-11-23T01:30:35.6519683Z { 2022-11-23T01:30:35.6519781Z auto tmp0 = in_ptr0[i2 + (100*i0)]; 2022-11-23T01:30:35.6519884Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.6519971Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6520147Z auto tmp3 = tmp2 + tmp1; 2022-11-23T01:30:35.6520248Z out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3; 2022-11-23T01:30:35.6520300Z } 2022-11-23T01:30:35.6520362Z } 2022-11-23T01:30:35.6520424Z } 2022-11-23T01:30:35.6520486Z } 2022-11-23T01:30:35.6520546Z } 2022-11-23T01:30:35.6520626Z ''') 2022-11-23T01:30:35.6520631Z 2022-11-23T01:30:35.6520638Z 2022-11-23T01:30:35.6520728Z async_compile.wait(globals()) 2022-11-23T01:30:35.6520787Z del async_compile 2022-11-23T01:30:35.6520791Z 2022-11-23T01:30:35.6520861Z def call(args): 2022-11-23T01:30:35.6520938Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6521009Z args.clear() 2022-11-23T01:30:35.6521225Z buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6521361Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6521472Z return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, ) 2022-11-23T01:30:35.6521477Z 2022-11-23T01:30:35.6521481Z 2022-11-23T01:30:35.6521556Z if __name__ == "__main__": 2022-11-23T01:30:35.6521655Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6521776Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6521986Z arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6522201Z arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6522315Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6522322Z 2022-11-23T01:30:35.6522388Z ok (1.533s) 2022-11-23T01:30:35.6522691Z test_expand_cpu (__main__.CpuTests) ... [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6523006Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6523212Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6523466Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6523745Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6524067Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6524452Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6524882Z [2022-11-23 01:24:16,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6525266Z [2022-11-23 01:24:16,301] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6525359Z 1262 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6525449Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:35.6525522Z 4 BINARY_ADD 2022-11-23T01:30:35.6525661Z 6 LOAD_METHOD 0 (expand) 2022-11-23T01:30:35.6525749Z 8 LOAD_CONST 2 (3) 2022-11-23T01:30:35.6525839Z 10 LOAD_CONST 3 (4) 2022-11-23T01:30:35.6525927Z 12 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6526014Z 14 LOAD_CONST 2 (3) 2022-11-23T01:30:35.6526099Z 16 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6526185Z 18 CALL_METHOD 5 2022-11-23T01:30:35.6526258Z 20 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6526331Z 22 BINARY_ADD 2022-11-23T01:30:35.6526338Z 2022-11-23T01:30:35.6526427Z 1263 24 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6526521Z 26 LOAD_METHOD 0 (expand) 2022-11-23T01:30:35.6526606Z 28 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6526692Z 30 LOAD_CONST 1 (1) 2022-11-23T01:30:35.6526779Z 32 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6526851Z 34 LOAD_CONST 2 (3) 2022-11-23T01:30:35.6526936Z 36 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6527027Z 38 CALL_METHOD 5 2022-11-23T01:30:35.6527112Z 40 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6527189Z 42 BINARY_ADD 2022-11-23T01:30:35.6527193Z 2022-11-23T01:30:35.6527281Z 1261 44 BUILD_TUPLE 2 2022-11-23T01:30:35.6527286Z 2022-11-23T01:30:35.6527370Z 1264 46 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6527466Z 48 LOAD_METHOD 0 (expand) 2022-11-23T01:30:35.6527539Z 50 LOAD_CONST 4 (2) 2022-11-23T01:30:35.6527679Z 52 LOAD_CONST 5 (-1) 2022-11-23T01:30:35.6527763Z 54 LOAD_CONST 6 (5) 2022-11-23T01:30:35.6527901Z 56 LOAD_CONST 5 (-1) 2022-11-23T01:30:35.6527991Z 58 CALL_METHOD 4 2022-11-23T01:30:35.6527996Z 2022-11-23T01:30:35.6528081Z 1261 60 BUILD_TUPLE 2 2022-11-23T01:30:35.6528158Z 62 RETURN_VALUE 2022-11-23T01:30:35.6528207Z 2022-11-23T01:30:35.6528224Z 2022-11-23T01:30:35.6528531Z [2022-11-23 01:24:16,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1262 2022-11-23T01:30:35.6528739Z [2022-11-23 01:24:16,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.6528978Z [2022-11-23 01:24:16,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.6529258Z [2022-11-23 01:24:16,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6529502Z [2022-11-23 01:24:16,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()] 2022-11-23T01:30:35.6529783Z [2022-11-23 01:24:16,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:35.6530132Z [2022-11-23 01:24:16,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:30:35.6530484Z [2022-11-23 01:24:16,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6530870Z [2022-11-23 01:24:16,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6531302Z [2022-11-23 01:24:16,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6531794Z [2022-11-23 01:24:16,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6532032Z [2022-11-23 01:24:16,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.6532312Z [2022-11-23 01:24:16,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6532626Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1263 2022-11-23T01:30:35.6532861Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:35.6533132Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6533441Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:35.6533784Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:30:35.6534166Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6534584Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6535039Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6535541Z [2022-11-23 01:24:16,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6535805Z [2022-11-23 01:24:16,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6536100Z [2022-11-23 01:24:16,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6536413Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261 2022-11-23T01:30:35.6536682Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6536995Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1264 2022-11-23T01:30:35.6537261Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()] 2022-11-23T01:30:35.6537535Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()] 2022-11-23T01:30:35.6537840Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:35.6538184Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:30:35.6538559Z [2022-11-23 01:24:16,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6539014Z [2022-11-23 01:24:16,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6539475Z [2022-11-23 01:24:16,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6539782Z [2022-11-23 01:24:16,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261 2022-11-23T01:30:35.6540034Z [2022-11-23 01:24:16,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()] 2022-11-23T01:30:35.6540275Z [2022-11-23 01:24:16,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6540657Z [2022-11-23 01:24:16,309] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6540897Z [2022-11-23 01:24:16,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6541128Z [2022-11-23 01:24:16,309] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6541382Z [2022-11-23 01:24:16,310] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6541628Z [2022-11-23 01:24:16,315] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6541815Z [2022-11-23 01:24:16,315] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6541948Z __compiled_fn_172 .1496 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6542027Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6542203Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.6542310Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {} 2022-11-23T01:30:35.6542489Z call_function, add_1, , (expand, 2), {} 2022-11-23T01:30:35.6542599Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {} 2022-11-23T01:30:35.6542776Z call_function, add_2, , (expand_1, 2), {} 2022-11-23T01:30:35.6542937Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {} 2022-11-23T01:30:35.6543048Z output, output, output, ((add_1, add_2, expand_2),), {} 2022-11-23T01:30:35.6543053Z 2022-11-23T01:30:35.6543363Z [2022-11-23 01:24:16,315] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6543457Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6543545Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6543633Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6543723Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6543833Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6543922Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6543985Z 12 RETURN_VALUE 2022-11-23T01:30:35.6544002Z 2022-11-23T01:30:35.6544050Z 2022-11-23T01:30:35.6544373Z [2022-11-23 01:24:16,315] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6544481Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_172) 2022-11-23T01:30:35.6544570Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6544657Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6544732Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6544818Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6544908Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6545041Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6545133Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6545212Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6545311Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6545396Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6545470Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6545544Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6545644Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6545731Z 28 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6545808Z 30 BINARY_SUBSCR 2022-11-23T01:30:35.6545893Z 32 BUILD_TUPLE 2 2022-11-23T01:30:35.6545966Z 34 RETURN_VALUE 2022-11-23T01:30:35.6545971Z 2022-11-23T01:30:35.6546029Z 2022-11-23T01:30:35.6546209Z [2022-11-23 01:24:16,316] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6546269Z - 2022-11-23T01:30:35.6546386Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6546450Z { 2022-11-23T01:30:35.6546592Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6546777Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6546895Z 'obj_weakref': None 2022-11-23T01:30:35.6547116Z 'guarded_class': 2022-11-23T01:30:35.6547169Z } 2022-11-23T01:30:35.6547230Z 2022-11-23T01:30:35.6547299Z - 2022-11-23T01:30:35.6547421Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6547482Z { 2022-11-23T01:30:35.6547622Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6547714Z 'code': None, 2022-11-23T01:30:35.6547927Z 'obj_weakref': 2022-11-23T01:30:35.6548183Z 'guarded_class': 2022-11-23T01:30:35.6548249Z } 2022-11-23T01:30:35.6548312Z 2022-11-23T01:30:35.6548380Z - 2022-11-23T01:30:35.6548509Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6548560Z { 2022-11-23T01:30:35.6548691Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6548858Z 'code': ['___check_obj_id(model, 140534626914160)'], 2022-11-23T01:30:35.6548974Z 'obj_weakref': None 2022-11-23T01:30:35.6549203Z 'guarded_class': 2022-11-23T01:30:35.6549265Z } 2022-11-23T01:30:35.6549326Z 2022-11-23T01:30:35.6549382Z - 2022-11-23T01:30:35.6549501Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6549564Z { 2022-11-23T01:30:35.6549702Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6549918Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6550061Z 'obj_weakref': None 2022-11-23T01:30:35.6550288Z 'guarded_class': 2022-11-23T01:30:35.6550350Z } 2022-11-23T01:30:35.6550400Z 2022-11-23T01:30:35.6550657Z [2022-11-23 01:24:16,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171 2022-11-23T01:30:35.6551030Z [2022-11-23 01:24:18,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chddvbytrntggvkwszey7oiqtaskobzcjcfsoe4srjnh56wfnx4a.py 2022-11-23T01:30:35.6551293Z [2022-11-23 01:24:18,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171 2022-11-23T01:30:35.6551298Z 2022-11-23T01:30:35.6551391Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6551489Z import torch 2022-11-23T01:30:35.6551556Z import random 2022-11-23T01:30:35.6551671Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6551782Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6551787Z 2022-11-23T01:30:35.6551864Z aten = torch.ops.aten 2022-11-23T01:30:35.6551998Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6552090Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6552095Z 2022-11-23T01:30:35.6552099Z 2022-11-23T01:30:35.6552231Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6552435Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6552551Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6552647Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6552730Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6552790Z { 2022-11-23T01:30:35.6552891Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6552952Z { 2022-11-23T01:30:35.6553029Z #pragma omp for 2022-11-23T01:30:35.6553114Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.6553163Z { 2022-11-23T01:30:35.6553242Z #pragma GCC ivdep 2022-11-23T01:30:35.6553324Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.6553386Z { 2022-11-23T01:30:35.6553468Z #pragma GCC ivdep 2022-11-23T01:30:35.6553556Z for(long i2=0; i2<3; i2+=1) 2022-11-23T01:30:35.6553620Z { 2022-11-23T01:30:35.6553689Z #pragma GCC ivdep 2022-11-23T01:30:35.6553779Z for(long i3=0; i3<2; i3+=1) 2022-11-23T01:30:35.6553844Z { 2022-11-23T01:30:35.6553912Z { 2022-11-23T01:30:35.6553980Z { 2022-11-23T01:30:35.6554083Z auto tmp0 = in_ptr0[i3 + (2*i1)]; 2022-11-23T01:30:35.6554194Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.6554278Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6554387Z auto tmp3 = static_cast(2); 2022-11-23T01:30:35.6554484Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.6554595Z out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4; 2022-11-23T01:30:35.6554664Z } 2022-11-23T01:30:35.6554730Z } 2022-11-23T01:30:35.6554794Z } 2022-11-23T01:30:35.6554845Z } 2022-11-23T01:30:35.6554907Z } 2022-11-23T01:30:35.6554968Z } 2022-11-23T01:30:35.6555057Z #pragma omp for collapse(2) 2022-11-23T01:30:35.6555136Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.6555196Z { 2022-11-23T01:30:35.6555278Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.6555331Z { 2022-11-23T01:30:35.6555410Z #pragma GCC ivdep 2022-11-23T01:30:35.6555497Z for(long i2=0; i2<3; i2+=1) 2022-11-23T01:30:35.6555560Z { 2022-11-23T01:30:35.6555672Z #pragma GCC ivdep 2022-11-23T01:30:35.6555764Z for(long i3=0; i3<2; i3+=1) 2022-11-23T01:30:35.6555828Z { 2022-11-23T01:30:35.6555882Z { 2022-11-23T01:30:35.6555949Z { 2022-11-23T01:30:35.6556052Z auto tmp0 = in_ptr0[i3 + (2*i1)]; 2022-11-23T01:30:35.6556159Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.6556257Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6556365Z out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2; 2022-11-23T01:30:35.6556433Z } 2022-11-23T01:30:35.6556488Z } 2022-11-23T01:30:35.6556599Z } 2022-11-23T01:30:35.6556662Z } 2022-11-23T01:30:35.6556724Z } 2022-11-23T01:30:35.6556784Z } 2022-11-23T01:30:35.6556844Z } 2022-11-23T01:30:35.6556905Z } 2022-11-23T01:30:35.6556972Z ''') 2022-11-23T01:30:35.6556977Z 2022-11-23T01:30:35.6556981Z 2022-11-23T01:30:35.6557069Z async_compile.wait(globals()) 2022-11-23T01:30:35.6557141Z del async_compile 2022-11-23T01:30:35.6557145Z 2022-11-23T01:30:35.6557213Z def call(args): 2022-11-23T01:30:35.6557282Z arg0_1, = args 2022-11-23T01:30:35.6557351Z args.clear() 2022-11-23T01:30:35.6557568Z buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6557771Z buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6557933Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6558047Z return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), ) 2022-11-23T01:30:35.6558055Z 2022-11-23T01:30:35.6558059Z 2022-11-23T01:30:35.6558134Z if __name__ == "__main__": 2022-11-23T01:30:35.6558250Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6558373Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6558573Z arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6558679Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6558684Z 2022-11-23T01:30:35.6558749Z ok (1.912s) 2022-11-23T01:30:35.6559400Z test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:30:35.6559703Z test_fill1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6560094Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6560318Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6560571Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6560845Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6561163Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6561511Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6561870Z [2022-11-23 01:24:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6562248Z [2022-11-23 01:24:18,214] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6562345Z 2491 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6562431Z 2 LOAD_METHOD 1 (ones_like) 2022-11-23T01:30:35.6562523Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6562612Z 6 CALL_METHOD 1 2022-11-23T01:30:35.6562706Z 8 STORE_FAST 1 (tmp) 2022-11-23T01:30:35.6562713Z 2022-11-23T01:30:35.6562803Z 2492 10 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.6562937Z 12 LOAD_GLOBAL 2 (aten) 2022-11-23T01:30:35.6563024Z 14 LOAD_ATTR 3 (fill) 2022-11-23T01:30:35.6563119Z 16 LOAD_METHOD 4 (Scalar) 2022-11-23T01:30:35.6563194Z 18 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.6563282Z 20 LOAD_CONST 1 (2) 2022-11-23T01:30:35.6563368Z 22 CALL_METHOD 2 2022-11-23T01:30:35.6563455Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6563529Z 26 RETURN_VALUE 2022-11-23T01:30:35.6563590Z 2022-11-23T01:30:35.6563594Z 2022-11-23T01:30:35.6563913Z [2022-11-23 01:24:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2491 2022-11-23T01:30:35.6564117Z [2022-11-23 01:24:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6564490Z [2022-11-23 01:24:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable()] 2022-11-23T01:30:35.6564922Z [2022-11-23 01:24:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.6565285Z [2022-11-23 01:24:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6565527Z [2022-11-23 01:24:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:30:35.6565841Z [2022-11-23 01:24:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2492 2022-11-23T01:30:35.6566050Z [2022-11-23 01:24:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [] 2022-11-23T01:30:35.6566294Z [2022-11-23 01:24:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6566628Z [2022-11-23 01:24:18,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6566913Z [2022-11-23 01:24:18,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)] 2022-11-23T01:30:35.6567211Z [2022-11-23 01:24:18,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)] 2022-11-23T01:30:35.6567517Z [2022-11-23 01:24:18,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()] 2022-11-23T01:30:35.6567878Z [2022-11-23 01:24:18,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6568151Z [2022-11-23 01:24:18,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6568439Z [2022-11-23 01:24:18,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6568822Z [2022-11-23 01:24:18,224] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6569065Z [2022-11-23 01:24:18,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6569298Z [2022-11-23 01:24:18,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6569553Z [2022-11-23 01:24:18,225] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6569801Z [2022-11-23 01:24:18,228] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6570053Z [2022-11-23 01:24:18,228] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6570178Z __compiled_fn_173 .1502 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6570270Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6570513Z call_function, ones_like, , (ex_0_,), {} 2022-11-23T01:30:35.6570645Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {} 2022-11-23T01:30:35.6570763Z output, output, output, ((ones_like, fill_scalar),), {} 2022-11-23T01:30:35.6570769Z 2022-11-23T01:30:35.6571098Z [2022-11-23 01:24:18,229] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6571191Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6571284Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6571359Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6571454Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6571538Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6571627Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6571702Z 12 RETURN_VALUE 2022-11-23T01:30:35.6571707Z 2022-11-23T01:30:35.6571768Z 2022-11-23T01:30:35.6572092Z [2022-11-23 01:24:18,229] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6572198Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_173) 2022-11-23T01:30:35.6572275Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6572364Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6572440Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6572527Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6572630Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6572737Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6572825Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6572889Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6572989Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6573075Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6573151Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6573237Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6573311Z 26 RETURN_VALUE 2022-11-23T01:30:35.6573315Z 2022-11-23T01:30:35.6573377Z 2022-11-23T01:30:35.6573544Z [2022-11-23 01:24:18,229] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6573614Z - 2022-11-23T01:30:35.6573733Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6573797Z { 2022-11-23T01:30:35.6573936Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6574121Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6574243Z 'obj_weakref': None 2022-11-23T01:30:35.6574488Z 'guarded_class': 2022-11-23T01:30:35.6574553Z } 2022-11-23T01:30:35.6574619Z 2022-11-23T01:30:35.6574690Z - 2022-11-23T01:30:35.6574813Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6574877Z { 2022-11-23T01:30:35.6575018Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6575110Z 'code': None, 2022-11-23T01:30:35.6575320Z 'obj_weakref': 2022-11-23T01:30:35.6575573Z 'guarded_class': 2022-11-23T01:30:35.6575639Z } 2022-11-23T01:30:35.6575701Z 2022-11-23T01:30:35.6575770Z - 2022-11-23T01:30:35.6575900Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6575977Z { 2022-11-23T01:30:35.6576112Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6576281Z 'code': ['___check_obj_id(model, 140534621992512)'], 2022-11-23T01:30:35.6576401Z 'obj_weakref': None 2022-11-23T01:30:35.6576629Z 'guarded_class': 2022-11-23T01:30:35.6576691Z } 2022-11-23T01:30:35.6576754Z 2022-11-23T01:30:35.6576810Z - 2022-11-23T01:30:35.6576931Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6576993Z { 2022-11-23T01:30:35.6577129Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6577343Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6577460Z 'obj_weakref': None 2022-11-23T01:30:35.6577683Z 'guarded_class': 2022-11-23T01:30:35.6577735Z } 2022-11-23T01:30:35.6577798Z 2022-11-23T01:30:35.6577867Z - 2022-11-23T01:30:35.6578000Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6578063Z { 2022-11-23T01:30:35.6578182Z 'guard_types': None, 2022-11-23T01:30:35.6578287Z 'code': None, 2022-11-23T01:30:35.6578391Z 'obj_weakref': None 2022-11-23T01:30:35.6578511Z 'guarded_class': None 2022-11-23T01:30:35.6578575Z } 2022-11-23T01:30:35.6578637Z 2022-11-23T01:30:35.6578704Z - 2022-11-23T01:30:35.6578836Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6578899Z { 2022-11-23T01:30:35.6579003Z 'guard_types': None, 2022-11-23T01:30:35.6579107Z 'code': None, 2022-11-23T01:30:35.6579224Z 'obj_weakref': None 2022-11-23T01:30:35.6579342Z 'guarded_class': None 2022-11-23T01:30:35.6579407Z } 2022-11-23T01:30:35.6579469Z 2022-11-23T01:30:35.6579726Z [2022-11-23 01:24:18,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172 2022-11-23T01:30:35.6580086Z [2022-11-23 01:24:19,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uv/cuvaydpnvd7b46kekhkdgobdoatgqcnn35gmrn3pfu2sr5m5clhe.py 2022-11-23T01:30:35.6580351Z [2022-11-23 01:24:19,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172 2022-11-23T01:30:35.6580356Z 2022-11-23T01:30:35.6580448Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6580517Z import torch 2022-11-23T01:30:35.6580585Z import random 2022-11-23T01:30:35.6580698Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6580818Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6580823Z 2022-11-23T01:30:35.6580900Z aten = torch.ops.aten 2022-11-23T01:30:35.6581021Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6581114Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6581119Z 2022-11-23T01:30:35.6581123Z 2022-11-23T01:30:35.6581281Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6581489Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6581603Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6581700Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6581760Z { 2022-11-23T01:30:35.6581857Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6581906Z { 2022-11-23T01:30:35.6581981Z #pragma omp for 2022-11-23T01:30:35.6582062Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.6582125Z { 2022-11-23T01:30:35.6582265Z auto tmp0 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.6582356Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6582406Z } 2022-11-23T01:30:35.6582527Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6582610Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.6582675Z { 2022-11-23T01:30:35.6582779Z auto tmp0 = static_cast(1); 2022-11-23T01:30:35.6582858Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.6582920Z } 2022-11-23T01:30:35.6582982Z #pragma omp for 2022-11-23T01:30:35.6583064Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.6583123Z { 2022-11-23T01:30:35.6583256Z auto tmp0 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.6583346Z tmp0.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6583408Z } 2022-11-23T01:30:35.6583500Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6583569Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.6583630Z { 2022-11-23T01:30:35.6583726Z auto tmp0 = static_cast(2); 2022-11-23T01:30:35.6583806Z out_ptr1[i0] = tmp0; 2022-11-23T01:30:35.6583869Z } 2022-11-23T01:30:35.6583929Z } 2022-11-23T01:30:35.6583988Z } 2022-11-23T01:30:35.6584054Z ''') 2022-11-23T01:30:35.6584059Z 2022-11-23T01:30:35.6584063Z 2022-11-23T01:30:35.6584155Z async_compile.wait(globals()) 2022-11-23T01:30:35.6584226Z del async_compile 2022-11-23T01:30:35.6584231Z 2022-11-23T01:30:35.6584300Z def call(args): 2022-11-23T01:30:35.6584368Z arg0_1, = args 2022-11-23T01:30:35.6584471Z args.clear() 2022-11-23T01:30:35.6584670Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6584854Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6584986Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6585063Z return (buf0, buf1, ) 2022-11-23T01:30:35.6585068Z 2022-11-23T01:30:35.6585072Z 2022-11-23T01:30:35.6585147Z if __name__ == "__main__": 2022-11-23T01:30:35.6585260Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6585383Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6585582Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6585687Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6585692Z 2022-11-23T01:30:35.6585757Z ok (1.586s) 2022-11-23T01:30:35.6586044Z test_fill2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6586360Z [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6586577Z [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6586829Z [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6587106Z [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6587454Z [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6587804Z [2022-11-23 01:24:19,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6588126Z [2022-11-23 01:24:19,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6588501Z [2022-11-23 01:24:19,800] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6588596Z 2501 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6588681Z 2 LOAD_METHOD 1 (ones_like) 2022-11-23T01:30:35.6588802Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6588891Z 6 CALL_METHOD 1 2022-11-23T01:30:35.6588984Z 8 STORE_FAST 1 (tmp) 2022-11-23T01:30:35.6588988Z 2022-11-23T01:30:35.6589078Z 2502 10 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.6589168Z 12 LOAD_GLOBAL 2 (aten) 2022-11-23T01:30:35.6589258Z 14 LOAD_ATTR 3 (fill) 2022-11-23T01:30:35.6589338Z 16 LOAD_METHOD 4 (Tensor) 2022-11-23T01:30:35.6589426Z 18 LOAD_FAST 1 (tmp) 2022-11-23T01:30:35.6589516Z 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6589606Z 22 LOAD_METHOD 5 (tensor) 2022-11-23T01:30:35.6589694Z 24 LOAD_CONST 1 (3.0) 2022-11-23T01:30:35.6589781Z 26 CALL_METHOD 1 2022-11-23T01:30:35.6589867Z 28 CALL_METHOD 2 2022-11-23T01:30:35.6589953Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.6590016Z 32 RETURN_VALUE 2022-11-23T01:30:35.6590077Z 2022-11-23T01:30:35.6590081Z 2022-11-23T01:30:35.6590400Z [2022-11-23 01:24:19,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2501 2022-11-23T01:30:35.6590617Z [2022-11-23 01:24:19,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6590992Z [2022-11-23 01:24:19,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable()] 2022-11-23T01:30:35.6591319Z [2022-11-23 01:24:19,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.6591679Z [2022-11-23 01:24:19,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6591923Z [2022-11-23 01:24:19,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:30:35.6592232Z [2022-11-23 01:24:19,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2502 2022-11-23T01:30:35.6592432Z [2022-11-23 01:24:19,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [] 2022-11-23T01:30:35.6592675Z [2022-11-23 01:24:19,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6593005Z [2022-11-23 01:24:19,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6593290Z [2022-11-23 01:24:19,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)] 2022-11-23T01:30:35.6593615Z [2022-11-23 01:24:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)] 2022-11-23T01:30:35.6593944Z [2022-11-23 01:24:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()] 2022-11-23T01:30:35.6594426Z [2022-11-23 01:24:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6594866Z [2022-11-23 01:24:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6595349Z [2022-11-23 01:24:19,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6595731Z [2022-11-23 01:24:19,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6596000Z [2022-11-23 01:24:19,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6596245Z [2022-11-23 01:24:19,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6596623Z [2022-11-23 01:24:19,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6596853Z [2022-11-23 01:24:19,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6597092Z [2022-11-23 01:24:19,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6597346Z [2022-11-23 01:24:19,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6597592Z [2022-11-23 01:24:19,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6597780Z [2022-11-23 01:24:19,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6597913Z __compiled_fn_174 .1508 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6598001Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6598241Z call_function, ones_like, , (ex_0_,), {} 2022-11-23T01:30:35.6598455Z call_function, tensor, , (3.0,), {} 2022-11-23T01:30:35.6598592Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {} 2022-11-23T01:30:35.6598710Z output, output, output, ((ones_like, fill_tensor),), {} 2022-11-23T01:30:35.6598715Z 2022-11-23T01:30:35.6599043Z [2022-11-23 01:24:19,816] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6599137Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6599228Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6599313Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6599405Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6599477Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6599563Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6599637Z 12 RETURN_VALUE 2022-11-23T01:30:35.6599642Z 2022-11-23T01:30:35.6599705Z 2022-11-23T01:30:35.6600111Z [2022-11-23 01:24:19,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6600225Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_174) 2022-11-23T01:30:35.6600346Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6600437Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6600500Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6600589Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6600690Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6600793Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6600883Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6600958Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6601058Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6601133Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6601209Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6601327Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6601401Z 26 RETURN_VALUE 2022-11-23T01:30:35.6601407Z 2022-11-23T01:30:35.6601466Z 2022-11-23T01:30:35.6601652Z [2022-11-23 01:24:19,817] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6601721Z - 2022-11-23T01:30:35.6601826Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6601889Z { 2022-11-23T01:30:35.6602028Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6602214Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6602332Z 'obj_weakref': None 2022-11-23T01:30:35.6602556Z 'guarded_class': 2022-11-23T01:30:35.6602619Z } 2022-11-23T01:30:35.6602681Z 2022-11-23T01:30:35.6602737Z - 2022-11-23T01:30:35.6602859Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6602940Z { 2022-11-23T01:30:35.6603085Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6603190Z 'code': None, 2022-11-23T01:30:35.6603402Z 'obj_weakref': 2022-11-23T01:30:35.6603654Z 'guarded_class': 2022-11-23T01:30:35.6603705Z } 2022-11-23T01:30:35.6603767Z 2022-11-23T01:30:35.6603835Z - 2022-11-23T01:30:35.6603965Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6604027Z { 2022-11-23T01:30:35.6604159Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6604314Z 'code': ['___check_obj_id(model, 140534621992944)'], 2022-11-23T01:30:35.6604430Z 'obj_weakref': None 2022-11-23T01:30:35.6604659Z 'guarded_class': 2022-11-23T01:30:35.6604727Z } 2022-11-23T01:30:35.6604993Z 2022-11-23T01:30:35.6605064Z - 2022-11-23T01:30:35.6605186Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6605236Z { 2022-11-23T01:30:35.6605372Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6605586Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6605705Z 'obj_weakref': None 2022-11-23T01:30:35.6605925Z 'guarded_class': 2022-11-23T01:30:35.6605988Z } 2022-11-23T01:30:35.6606049Z 2022-11-23T01:30:35.6606105Z - 2022-11-23T01:30:35.6606236Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6606299Z { 2022-11-23T01:30:35.6606417Z 'guard_types': None, 2022-11-23T01:30:35.6606524Z 'code': None, 2022-11-23T01:30:35.6606639Z 'obj_weakref': None 2022-11-23T01:30:35.6606760Z 'guarded_class': None 2022-11-23T01:30:35.6606809Z } 2022-11-23T01:30:35.6606870Z 2022-11-23T01:30:35.6606939Z - 2022-11-23T01:30:35.6607116Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6607183Z { 2022-11-23T01:30:35.6607302Z 'guard_types': None, 2022-11-23T01:30:35.6607406Z 'code': None, 2022-11-23T01:30:35.6607508Z 'obj_weakref': None 2022-11-23T01:30:35.6607626Z 'guarded_class': None 2022-11-23T01:30:35.6607689Z } 2022-11-23T01:30:35.6607751Z 2022-11-23T01:30:35.6608012Z [2022-11-23 01:24:19,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173 2022-11-23T01:30:35.6608376Z [2022-11-23 01:24:21,305] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d6/cd66i37fdzjxkbqqpyj3uoajl2eq24l4whtz72icweutj2ydwdai.py 2022-11-23T01:30:35.6608641Z [2022-11-23 01:24:21,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173 2022-11-23T01:30:35.6608701Z 2022-11-23T01:30:35.6608796Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6608855Z import torch 2022-11-23T01:30:35.6608923Z import random 2022-11-23T01:30:35.6609038Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6609159Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6609164Z 2022-11-23T01:30:35.6609241Z aten = torch.ops.aten 2022-11-23T01:30:35.6609375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6609465Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6609471Z 2022-11-23T01:30:35.6609475Z 2022-11-23T01:30:35.6609609Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6609797Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6609909Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6610008Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6610069Z { 2022-11-23T01:30:35.6610170Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6610233Z { 2022-11-23T01:30:35.6610312Z #pragma omp for 2022-11-23T01:30:35.6610382Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.6610445Z { 2022-11-23T01:30:35.6610585Z auto tmp0 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.6610681Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6610742Z } 2022-11-23T01:30:35.6610836Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6610919Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.6610967Z { 2022-11-23T01:30:35.6611067Z auto tmp0 = static_cast(1); 2022-11-23T01:30:35.6611149Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.6611210Z } 2022-11-23T01:30:35.6611285Z #pragma omp for 2022-11-23T01:30:35.6611366Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.6611417Z { 2022-11-23T01:30:35.6611551Z auto tmp0 = at::vec::Vectorized(static_cast(3.0)); 2022-11-23T01:30:35.6611644Z tmp0.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6611707Z } 2022-11-23T01:30:35.6611799Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6611881Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.6611942Z { 2022-11-23T01:30:35.6612028Z auto tmp0 = static_cast(3.0); 2022-11-23T01:30:35.6612108Z out_ptr1[i0] = tmp0; 2022-11-23T01:30:35.6612170Z } 2022-11-23T01:30:35.6612232Z } 2022-11-23T01:30:35.6612292Z } 2022-11-23T01:30:35.6612370Z ''') 2022-11-23T01:30:35.6612375Z 2022-11-23T01:30:35.6612379Z 2022-11-23T01:30:35.6612467Z async_compile.wait(globals()) 2022-11-23T01:30:35.6612526Z del async_compile 2022-11-23T01:30:35.6612543Z 2022-11-23T01:30:35.6612600Z def call(args): 2022-11-23T01:30:35.6612668Z arg0_1, = args 2022-11-23T01:30:35.6612742Z args.clear() 2022-11-23T01:30:35.6612943Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6613163Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6613299Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6613377Z return (buf0, buf1, ) 2022-11-23T01:30:35.6613382Z 2022-11-23T01:30:35.6613386Z 2022-11-23T01:30:35.6613449Z if __name__ == "__main__": 2022-11-23T01:30:35.6613562Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6613683Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6613879Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6613985Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6613990Z 2022-11-23T01:30:35.6614056Z ok (1.510s) 2022-11-23T01:30:35.6614354Z test_flip_cpu (__main__.CpuTests) ... [2022-11-23 01:24:21,309] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6614703Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6614919Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6615160Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6615437Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6615758Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6616104Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6616431Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6616801Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6616896Z 2648 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6616989Z 2 LOAD_METHOD 1 (flip) 2022-11-23T01:30:35.6617078Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6617204Z 6 LOAD_CONST 1 ((-1,)) 2022-11-23T01:30:35.6617291Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6617382Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6617473Z 12 LOAD_METHOD 1 (flip) 2022-11-23T01:30:35.6617565Z 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6617656Z 16 LOAD_CONST 2 ((0, 2)) 2022-11-23T01:30:35.6617743Z 18 CALL_METHOD 2 2022-11-23T01:30:35.6617821Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6617904Z 22 BINARY_SUBTRACT 2022-11-23T01:30:35.6617993Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6618068Z 26 RETURN_VALUE 2022-11-23T01:30:35.6618128Z 2022-11-23T01:30:35.6618133Z 2022-11-23T01:30:35.6618448Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2648 2022-11-23T01:30:35.6618664Z [2022-11-23 01:24:21,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6619027Z [2022-11-23 01:24:21,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable()] 2022-11-23T01:30:35.6619376Z [2022-11-23 01:24:21,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.6619720Z [2022-11-23 01:24:21,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6620116Z [2022-11-23 01:24:21,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.6620360Z [2022-11-23 01:24:21,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.6620751Z [2022-11-23 01:24:21,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6621132Z [2022-11-23 01:24:21,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6621513Z [2022-11-23 01:24:21,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6621939Z [2022-11-23 01:24:21,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.6622204Z [2022-11-23 01:24:21,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6622520Z [2022-11-23 01:24:21,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6622789Z [2022-11-23 01:24:21,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6623034Z [2022-11-23 01:24:21,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6623407Z [2022-11-23 01:24:21,314] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6623639Z [2022-11-23 01:24:21,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6623872Z [2022-11-23 01:24:21,315] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6624124Z [2022-11-23 01:24:21,316] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6624370Z [2022-11-23 01:24:21,319] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6624559Z [2022-11-23 01:24:21,319] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6624695Z __compiled_fn_175 .1514 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6624783Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6625016Z call_function, flip, , (ex_0_, (-1,)), {} 2022-11-23T01:30:35.6625250Z call_function, flip_1, , (ex_0_, (0, 2)), {} 2022-11-23T01:30:35.6625411Z call_function, sub, , (flip_1, 2), {} 2022-11-23T01:30:35.6625513Z output, output, output, ((flip, sub),), {} 2022-11-23T01:30:35.6625518Z 2022-11-23T01:30:35.6625843Z [2022-11-23 01:24:21,320] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6625936Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6626028Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6626112Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6626229Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6626313Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6626391Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6626465Z 12 RETURN_VALUE 2022-11-23T01:30:35.6626470Z 2022-11-23T01:30:35.6626529Z 2022-11-23T01:30:35.6626854Z [2022-11-23 01:24:21,320] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6626961Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_175) 2022-11-23T01:30:35.6627048Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6627136Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6627200Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6627287Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6627419Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6627518Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6627608Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6627683Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6627782Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6627856Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6627931Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6628015Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6628089Z 26 RETURN_VALUE 2022-11-23T01:30:35.6628094Z 2022-11-23T01:30:35.6628154Z 2022-11-23T01:30:35.6628334Z [2022-11-23 01:24:21,321] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6628404Z - 2022-11-23T01:30:35.6628508Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6628571Z { 2022-11-23T01:30:35.6628714Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6628898Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6629017Z 'obj_weakref': None 2022-11-23T01:30:35.6629241Z 'guarded_class': 2022-11-23T01:30:35.6629304Z } 2022-11-23T01:30:35.6629366Z 2022-11-23T01:30:35.6629421Z - 2022-11-23T01:30:35.6629542Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6629603Z { 2022-11-23T01:30:35.6629744Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6629848Z 'code': None, 2022-11-23T01:30:35.6630055Z 'obj_weakref': 2022-11-23T01:30:35.6630303Z 'guarded_class': 2022-11-23T01:30:35.6630354Z } 2022-11-23T01:30:35.6630420Z 2022-11-23T01:30:35.6630488Z - 2022-11-23T01:30:35.6630618Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6630680Z { 2022-11-23T01:30:35.6630813Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6630967Z 'code': ['___check_obj_id(model, 140534428318400)'], 2022-11-23T01:30:35.6631083Z 'obj_weakref': None 2022-11-23T01:30:35.6631311Z 'guarded_class': 2022-11-23T01:30:35.6631374Z } 2022-11-23T01:30:35.6631436Z 2022-11-23T01:30:35.6631505Z - 2022-11-23T01:30:35.6631624Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6631674Z { 2022-11-23T01:30:35.6631808Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6632024Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6632142Z 'obj_weakref': None 2022-11-23T01:30:35.6632365Z 'guarded_class': 2022-11-23T01:30:35.6632428Z } 2022-11-23T01:30:35.6632517Z 2022-11-23T01:30:35.6632577Z - 2022-11-23T01:30:35.6632708Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6632770Z { 2022-11-23T01:30:35.6632887Z 'guard_types': None, 2022-11-23T01:30:35.6632993Z 'code': None, 2022-11-23T01:30:35.6633108Z 'obj_weakref': None 2022-11-23T01:30:35.6633229Z 'guarded_class': None 2022-11-23T01:30:35.6633280Z } 2022-11-23T01:30:35.6633344Z 2022-11-23T01:30:35.6633603Z [2022-11-23 01:24:21,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174 2022-11-23T01:30:35.6633972Z [2022-11-23 01:24:22,885] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccngzeftiklv66xnnybve5dect6uakwuulnl726rkrdwdemdri2k.py 2022-11-23T01:30:35.6634265Z [2022-11-23 01:24:22,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174 2022-11-23T01:30:35.6634270Z 2022-11-23T01:30:35.6634365Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6634434Z import torch 2022-11-23T01:30:35.6634503Z import random 2022-11-23T01:30:35.6634603Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6634722Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6634727Z 2022-11-23T01:30:35.6634803Z aten = torch.ops.aten 2022-11-23T01:30:35.6634935Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6635025Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6635030Z 2022-11-23T01:30:35.6635034Z 2022-11-23T01:30:35.6635167Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6635371Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6635489Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6635574Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6635672Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6635732Z { 2022-11-23T01:30:35.6635829Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6635890Z { 2022-11-23T01:30:35.6635965Z #pragma omp for 2022-11-23T01:30:35.6636046Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:35.6636097Z { 2022-11-23T01:30:35.6636177Z #pragma GCC ivdep 2022-11-23T01:30:35.6636259Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:30:35.6636322Z { 2022-11-23T01:30:35.6636386Z { 2022-11-23T01:30:35.6636451Z { 2022-11-23T01:30:35.6636617Z auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)]; 2022-11-23T01:30:35.6636700Z out_ptr0[i1 + (6*i0)] = tmp0; 2022-11-23T01:30:35.6636766Z } 2022-11-23T01:30:35.6636832Z } 2022-11-23T01:30:35.6636893Z } 2022-11-23T01:30:35.6636955Z } 2022-11-23T01:30:35.6637044Z #pragma omp for collapse(2) 2022-11-23T01:30:35.6637126Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.6637176Z { 2022-11-23T01:30:35.6637255Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:30:35.6637319Z { 2022-11-23T01:30:35.6637400Z #pragma GCC ivdep 2022-11-23T01:30:35.6637486Z for(long i2=0; i2<6; i2+=1) 2022-11-23T01:30:35.6637551Z { 2022-11-23T01:30:35.6637604Z { 2022-11-23T01:30:35.6637670Z { 2022-11-23T01:30:35.6637849Z auto tmp0 = in_ptr0[30 + i1 + ((-6)*i2) + (36*i0)]; 2022-11-23T01:30:35.6637957Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.6638099Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.6638202Z out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2; 2022-11-23T01:30:35.6638272Z } 2022-11-23T01:30:35.6638337Z } 2022-11-23T01:30:35.6638387Z } 2022-11-23T01:30:35.6638479Z } 2022-11-23T01:30:35.6638542Z } 2022-11-23T01:30:35.6638602Z } 2022-11-23T01:30:35.6638661Z } 2022-11-23T01:30:35.6638738Z ''') 2022-11-23T01:30:35.6638743Z 2022-11-23T01:30:35.6638747Z 2022-11-23T01:30:35.6638823Z async_compile.wait(globals()) 2022-11-23T01:30:35.6638894Z del async_compile 2022-11-23T01:30:35.6638899Z 2022-11-23T01:30:35.6638968Z def call(args): 2022-11-23T01:30:35.6639038Z arg0_1, = args 2022-11-23T01:30:35.6639107Z args.clear() 2022-11-23T01:30:35.6639318Z buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6639520Z buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6639682Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6639775Z del arg0_1 2022-11-23T01:30:35.6639852Z return (buf0, buf1, ) 2022-11-23T01:30:35.6639856Z 2022-11-23T01:30:35.6639863Z 2022-11-23T01:30:35.6639938Z if __name__ == "__main__": 2022-11-23T01:30:35.6640128Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6640252Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6640466Z arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6640574Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6640580Z 2022-11-23T01:30:35.6640645Z ok (1.591s) 2022-11-23T01:30:35.6640934Z test_fmod_cpu (__main__.CpuTests) ... [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6641252Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6641472Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6641727Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6642001Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6642321Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6642673Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6642995Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6643374Z [2022-11-23 01:24:22,903] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6643470Z 2666 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6643549Z 2 LOAD_METHOD 1 (fmod) 2022-11-23T01:30:35.6643639Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6643727Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6643814Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6643906Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6643995Z 12 LOAD_METHOD 1 (fmod) 2022-11-23T01:30:35.6644083Z 14 LOAD_CONST 1 (3.0) 2022-11-23T01:30:35.6644158Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6644239Z 18 BINARY_MULTIPLY 2022-11-23T01:30:35.6644325Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6644414Z 22 CALL_METHOD 2 2022-11-23T01:30:35.6644504Z 24 LOAD_CONST 2 (2.0) 2022-11-23T01:30:35.6644616Z 26 BINARY_SUBTRACT 2022-11-23T01:30:35.6644702Z 28 BUILD_TUPLE 2 2022-11-23T01:30:35.6644849Z 30 RETURN_VALUE 2022-11-23T01:30:35.6644912Z 2022-11-23T01:30:35.6644917Z 2022-11-23T01:30:35.6645236Z [2022-11-23 01:24:22,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2666 2022-11-23T01:30:35.6645453Z [2022-11-23 01:24:22,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6645819Z [2022-11-23 01:24:22,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable()] 2022-11-23T01:30:35.6646138Z [2022-11-23 01:24:22,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6646532Z [2022-11-23 01:24:22,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6646913Z [2022-11-23 01:24:22,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6647156Z [2022-11-23 01:24:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.6647545Z [2022-11-23 01:24:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6647902Z [2022-11-23 01:24:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6648291Z [2022-11-23 01:24:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6648719Z [2022-11-23 01:24:22,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(), ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:35.6649090Z [2022-11-23 01:24:22,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6649500Z [2022-11-23 01:24:22,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6649768Z [2022-11-23 01:24:22,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6650090Z [2022-11-23 01:24:22,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6650361Z [2022-11-23 01:24:22,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6650607Z [2022-11-23 01:24:22,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6650990Z [2022-11-23 01:24:22,909] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6651234Z [2022-11-23 01:24:22,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6651469Z [2022-11-23 01:24:22,909] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6651759Z [2022-11-23 01:24:22,911] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6651996Z [2022-11-23 01:24:22,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6652186Z [2022-11-23 01:24:22,925] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6652320Z __compiled_fn_176 .1520 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6652413Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6652501Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6652737Z call_function, fmod, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6652911Z call_function, mul, , (3.0, ex_0_), {} 2022-11-23T01:30:35.6653143Z call_function, fmod_1, , (mul, ex_1_), {} 2022-11-23T01:30:35.6653350Z call_function, sub, , (fmod_1, 2.0), {} 2022-11-23T01:30:35.6653455Z output, output, output, ((fmod, sub),), {} 2022-11-23T01:30:35.6653460Z 2022-11-23T01:30:35.6653787Z [2022-11-23 01:24:22,925] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6653882Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6653972Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6654057Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6654149Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6654234Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6654310Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6654386Z 12 RETURN_VALUE 2022-11-23T01:30:35.6654391Z 2022-11-23T01:30:35.6654451Z 2022-11-23T01:30:35.6654779Z [2022-11-23 01:24:22,925] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6654890Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_176) 2022-11-23T01:30:35.6654979Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6655070Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6655145Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6655220Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6655307Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6655383Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6655470Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6655574Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6655675Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6655763Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6655828Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6655928Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6656018Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6656092Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6656179Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.6656253Z 32 RETURN_VALUE 2022-11-23T01:30:35.6656259Z 2022-11-23T01:30:35.6656321Z 2022-11-23T01:30:35.6656490Z [2022-11-23 01:24:22,926] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6656561Z - 2022-11-23T01:30:35.6656679Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6656745Z { 2022-11-23T01:30:35.6656884Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6657068Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6657187Z 'obj_weakref': None 2022-11-23T01:30:35.6657398Z 'guarded_class': 2022-11-23T01:30:35.6657466Z } 2022-11-23T01:30:35.6657531Z 2022-11-23T01:30:35.6657601Z - 2022-11-23T01:30:35.6657755Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6657821Z { 2022-11-23T01:30:35.6657963Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6658055Z 'code': None, 2022-11-23T01:30:35.6658265Z 'obj_weakref': 2022-11-23T01:30:35.6658517Z 'guarded_class': 2022-11-23T01:30:35.6658582Z } 2022-11-23T01:30:35.6658645Z 2022-11-23T01:30:35.6658715Z - 2022-11-23T01:30:35.6658836Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6658887Z { 2022-11-23T01:30:35.6659027Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6659161Z 'code': None, 2022-11-23T01:30:35.6659372Z 'obj_weakref': 2022-11-23T01:30:35.6659619Z 'guarded_class': 2022-11-23T01:30:35.6659683Z } 2022-11-23T01:30:35.6659746Z 2022-11-23T01:30:35.6659802Z - 2022-11-23T01:30:35.6659933Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6659996Z { 2022-11-23T01:30:35.6660127Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6660293Z 'code': ['___check_obj_id(model, 140534428308752)'], 2022-11-23T01:30:35.6660409Z 'obj_weakref': None 2022-11-23T01:30:35.6660638Z 'guarded_class': 2022-11-23T01:30:35.6660689Z } 2022-11-23T01:30:35.6660753Z 2022-11-23T01:30:35.6660823Z - 2022-11-23T01:30:35.6660948Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6661012Z { 2022-11-23T01:30:35.6661145Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6661361Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6661466Z 'obj_weakref': None 2022-11-23T01:30:35.6661688Z 'guarded_class': 2022-11-23T01:30:35.6661750Z } 2022-11-23T01:30:35.6661813Z 2022-11-23T01:30:35.6661881Z - 2022-11-23T01:30:35.6662011Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6662067Z { 2022-11-23T01:30:35.6667073Z 'guard_types': None, 2022-11-23T01:30:35.6667228Z 'code': None, 2022-11-23T01:30:35.6667353Z 'obj_weakref': None 2022-11-23T01:30:35.6667474Z 'guarded_class': None 2022-11-23T01:30:35.6667538Z } 2022-11-23T01:30:35.6667595Z 2022-11-23T01:30:35.6667867Z [2022-11-23 01:24:22,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175 2022-11-23T01:30:35.6668247Z [2022-11-23 01:24:24,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2a/c2auje5pphpwb5hkvudshmalc5j4bniiuu3kdlijvsfceclgfbe6.py 2022-11-23T01:30:35.6668514Z [2022-11-23 01:24:24,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175 2022-11-23T01:30:35.6668520Z 2022-11-23T01:30:35.6668614Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6668681Z import torch 2022-11-23T01:30:35.6668750Z import random 2022-11-23T01:30:35.6668864Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6668972Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6668977Z 2022-11-23T01:30:35.6669054Z aten = torch.ops.aten 2022-11-23T01:30:35.6669185Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6669278Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6669283Z 2022-11-23T01:30:35.6669287Z 2022-11-23T01:30:35.6669419Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6669691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6669811Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6669915Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6670004Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6670099Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6670161Z { 2022-11-23T01:30:35.6670260Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6670324Z { 2022-11-23T01:30:35.6670400Z #pragma omp for 2022-11-23T01:30:35.6670480Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:30:35.6670531Z { 2022-11-23T01:30:35.6670673Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6670839Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.6670928Z auto tmp2 = tmp0.fmod(tmp1); 2022-11-23T01:30:35.6671063Z auto tmp3 = at::vec::Vectorized(static_cast(3.0)); 2022-11-23T01:30:35.6671146Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6671236Z auto tmp5 = tmp4.fmod(tmp1); 2022-11-23T01:30:35.6671354Z auto tmp6 = at::vec::Vectorized(static_cast(2.0)); 2022-11-23T01:30:35.6671478Z auto tmp7 = tmp5 - tmp6; 2022-11-23T01:30:35.6671566Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6671657Z tmp7.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6671721Z } 2022-11-23T01:30:35.6671817Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6671897Z for(long i0=72; i0<72; i0+=1) 2022-11-23T01:30:35.6671946Z { 2022-11-23T01:30:35.6672028Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6672115Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.6672215Z auto tmp2 = std::fmod(tmp0, tmp1); 2022-11-23T01:30:35.6672318Z auto tmp3 = static_cast(3.0); 2022-11-23T01:30:35.6672402Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6672500Z auto tmp5 = std::fmod(tmp4, tmp1); 2022-11-23T01:30:35.6672590Z auto tmp6 = static_cast(2.0); 2022-11-23T01:30:35.6672712Z auto tmp7 = tmp5 - tmp6; 2022-11-23T01:30:35.6672791Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6672866Z out_ptr1[i0] = tmp7; 2022-11-23T01:30:35.6672927Z } 2022-11-23T01:30:35.6672988Z } 2022-11-23T01:30:35.6673047Z } 2022-11-23T01:30:35.6673112Z ''') 2022-11-23T01:30:35.6673117Z 2022-11-23T01:30:35.6673132Z 2022-11-23T01:30:35.6673207Z async_compile.wait(globals()) 2022-11-23T01:30:35.6673281Z del async_compile 2022-11-23T01:30:35.6673286Z 2022-11-23T01:30:35.6673355Z def call(args): 2022-11-23T01:30:35.6673431Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6673501Z args.clear() 2022-11-23T01:30:35.6673714Z buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6673922Z buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6674101Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6674168Z del arg0_1 2022-11-23T01:30:35.6674236Z del arg1_1 2022-11-23T01:30:35.6674314Z return (buf0, buf1, ) 2022-11-23T01:30:35.6674319Z 2022-11-23T01:30:35.6674323Z 2022-11-23T01:30:35.6674397Z if __name__ == "__main__": 2022-11-23T01:30:35.6674510Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6674632Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6674843Z arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6675040Z arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6675179Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6675185Z 2022-11-23T01:30:35.6675254Z ok (1.595s) 2022-11-23T01:30:35.6675569Z test_fmod_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6675884Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6676099Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6676351Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6676628Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6676982Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6677313Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6677632Z [2022-11-23 01:24:24,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6678004Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6678099Z 2673 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6678190Z 2 LOAD_METHOD 1 (fmod) 2022-11-23T01:30:35.6678283Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6678372Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6678460Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6678550Z 10 BUILD_TUPLE 1 2022-11-23T01:30:35.6678612Z 12 RETURN_VALUE 2022-11-23T01:30:35.6678674Z 2022-11-23T01:30:35.6678678Z 2022-11-23T01:30:35.6678999Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673 2022-11-23T01:30:35.6679216Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6679579Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable()] 2022-11-23T01:30:35.6679897Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6680329Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6680711Z [2022-11-23 01:24:24,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6680952Z [2022-11-23 01:24:24,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.6681196Z [2022-11-23 01:24:24,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6681562Z [2022-11-23 01:24:24,499] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6681805Z [2022-11-23 01:24:24,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6682072Z [2022-11-23 01:24:24,500] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6682328Z [2022-11-23 01:24:24,501] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6682575Z [2022-11-23 01:24:24,513] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6682761Z [2022-11-23 01:24:24,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6682894Z __compiled_fn_177 .1526 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6682984Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6683055Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6683289Z call_function, fmod, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6683384Z output, output, output, ((fmod,),), {} 2022-11-23T01:30:35.6683419Z 2022-11-23T01:30:35.6683745Z [2022-11-23 01:24:24,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6683840Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6683928Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6684014Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6684104Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6684175Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6684262Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6684338Z 12 RETURN_VALUE 2022-11-23T01:30:35.6684343Z 2022-11-23T01:30:35.6684404Z 2022-11-23T01:30:35.6684726Z [2022-11-23 01:24:24,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6684964Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_177) 2022-11-23T01:30:35.6685055Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6685145Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6685209Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6685297Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6685384Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6685458Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6685546Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6685648Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6685749Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6685825Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6685900Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6685986Z 24 BUILD_TUPLE 1 2022-11-23T01:30:35.6686060Z 26 RETURN_VALUE 2022-11-23T01:30:35.6686067Z 2022-11-23T01:30:35.6686128Z 2022-11-23T01:30:35.6686312Z [2022-11-23 01:24:24,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6686382Z - 2022-11-23T01:30:35.6686489Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6686553Z { 2022-11-23T01:30:35.6686693Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6686875Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6686992Z 'obj_weakref': None 2022-11-23T01:30:35.6687214Z 'guarded_class': 2022-11-23T01:30:35.6687277Z } 2022-11-23T01:30:35.6687327Z 2022-11-23T01:30:35.6687395Z - 2022-11-23T01:30:35.6687518Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6687581Z { 2022-11-23T01:30:35.6687721Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6687826Z 'code': None, 2022-11-23T01:30:35.6688038Z 'obj_weakref': 2022-11-23T01:30:35.6688346Z 'guarded_class': 2022-11-23T01:30:35.6688398Z } 2022-11-23T01:30:35.6688460Z 2022-11-23T01:30:35.6688530Z - 2022-11-23T01:30:35.6688652Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6688715Z { 2022-11-23T01:30:35.6688855Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6688948Z 'code': None, 2022-11-23T01:30:35.6689154Z 'obj_weakref': 2022-11-23T01:30:35.6689403Z 'guarded_class': 2022-11-23T01:30:35.6689467Z } 2022-11-23T01:30:35.6689529Z 2022-11-23T01:30:35.6689599Z - 2022-11-23T01:30:35.6689771Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6689821Z { 2022-11-23T01:30:35.6689952Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6690121Z 'code': ['___check_obj_id(model, 140534427725408)'], 2022-11-23T01:30:35.6690238Z 'obj_weakref': None 2022-11-23T01:30:35.6690465Z 'guarded_class': 2022-11-23T01:30:35.6690527Z } 2022-11-23T01:30:35.6690589Z 2022-11-23T01:30:35.6690644Z - 2022-11-23T01:30:35.6690763Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6690827Z { 2022-11-23T01:30:35.6690962Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6691179Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6691296Z 'obj_weakref': None 2022-11-23T01:30:35.6691516Z 'guarded_class': 2022-11-23T01:30:35.6691582Z } 2022-11-23T01:30:35.6691632Z 2022-11-23T01:30:35.6691699Z - 2022-11-23T01:30:35.6691833Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6691894Z { 2022-11-23T01:30:35.6692010Z 'guard_types': None, 2022-11-23T01:30:35.6692114Z 'code': None, 2022-11-23T01:30:35.6692217Z 'obj_weakref': None 2022-11-23T01:30:35.6692337Z 'guarded_class': None 2022-11-23T01:30:35.6692399Z } 2022-11-23T01:30:35.6692461Z 2022-11-23T01:30:35.6692721Z [2022-11-23 01:24:24,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176 2022-11-23T01:30:35.6693092Z [2022-11-23 01:24:25,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ky/ckylptof3t5i3y4bxmbjr7udiesgzf2pxpddmsddnvakruqp7jmd.py 2022-11-23T01:30:35.6693355Z [2022-11-23 01:24:25,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176 2022-11-23T01:30:35.6693594Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6693892Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6694107Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6694357Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6694630Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6694948Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6695292Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6695639Z [2022-11-23 01:24:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6696009Z [2022-11-23 01:24:26,004] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6696104Z 2673 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6696195Z 2 LOAD_METHOD 1 (fmod) 2022-11-23T01:30:35.6696272Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6696360Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6696447Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6696536Z 10 BUILD_TUPLE 1 2022-11-23T01:30:35.6696671Z 12 RETURN_VALUE 2022-11-23T01:30:35.6696730Z 2022-11-23T01:30:35.6696735Z 2022-11-23T01:30:35.6697054Z [2022-11-23 01:24:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673 2022-11-23T01:30:35.6697272Z [2022-11-23 01:24:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6697621Z [2022-11-23 01:24:26,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable()] 2022-11-23T01:30:35.6697940Z [2022-11-23 01:24:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6698284Z [2022-11-23 01:24:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6698667Z [2022-11-23 01:24:26,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6698906Z [2022-11-23 01:24:26,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.6699149Z [2022-11-23 01:24:26,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6699524Z [2022-11-23 01:24:26,006] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6699766Z [2022-11-23 01:24:26,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6699994Z [2022-11-23 01:24:26,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6700248Z [2022-11-23 01:24:26,007] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6700498Z [2022-11-23 01:24:26,010] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6700672Z [2022-11-23 01:24:26,010] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6700806Z __compiled_fn_178 .1532 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6700894Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6700978Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6701213Z call_function, fmod, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6701307Z output, output, output, ((fmod,),), {} 2022-11-23T01:30:35.6701312Z 2022-11-23T01:30:35.6701635Z [2022-11-23 01:24:26,011] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6701731Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6701808Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6701924Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6702016Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6702100Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6702187Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6702260Z 12 RETURN_VALUE 2022-11-23T01:30:35.6702265Z 2022-11-23T01:30:35.6702324Z 2022-11-23T01:30:35.6702635Z [2022-11-23 01:24:26,011] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6702741Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_178) 2022-11-23T01:30:35.6702829Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6702917Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6703021Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6703108Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6703194Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6703269Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6703343Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6703445Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6703544Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6703630Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6703704Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6703788Z 24 BUILD_TUPLE 1 2022-11-23T01:30:35.6703860Z 26 RETURN_VALUE 2022-11-23T01:30:35.6703865Z 2022-11-23T01:30:35.6703912Z 2022-11-23T01:30:35.6704094Z [2022-11-23 01:24:26,012] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6704163Z - 2022-11-23T01:30:35.6704280Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6704346Z { 2022-11-23T01:30:35.6704487Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6704673Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6704778Z 'obj_weakref': None 2022-11-23T01:30:35.6705001Z 'guarded_class': 2022-11-23T01:30:35.6705064Z } 2022-11-23T01:30:35.6705127Z 2022-11-23T01:30:35.6705195Z - 2022-11-23T01:30:35.6705316Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6705377Z { 2022-11-23T01:30:35.6705506Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6705610Z 'code': None, 2022-11-23T01:30:35.6705821Z 'obj_weakref': 2022-11-23T01:30:35.6706070Z 'guarded_class': 2022-11-23T01:30:35.6706137Z } 2022-11-23T01:30:35.6706199Z 2022-11-23T01:30:35.6706266Z - 2022-11-23T01:30:35.6706374Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6706438Z { 2022-11-23T01:30:35.6706578Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6706683Z 'code': None, 2022-11-23T01:30:35.6706890Z 'obj_weakref': 2022-11-23T01:30:35.6707132Z 'guarded_class': 2022-11-23T01:30:35.6707194Z } 2022-11-23T01:30:35.6707243Z 2022-11-23T01:30:35.6707310Z - 2022-11-23T01:30:35.6707440Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6707503Z { 2022-11-23T01:30:35.6707634Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6707801Z 'code': ['___check_obj_id(model, 140534427725408)'], 2022-11-23T01:30:35.6707920Z 'obj_weakref': None 2022-11-23T01:30:35.6708166Z 'guarded_class': 2022-11-23T01:30:35.6708230Z } 2022-11-23T01:30:35.6708293Z 2022-11-23T01:30:35.6708361Z - 2022-11-23T01:30:35.6708481Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6708543Z { 2022-11-23T01:30:35.6708676Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6708880Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6708995Z 'obj_weakref': None 2022-11-23T01:30:35.6709215Z 'guarded_class': 2022-11-23T01:30:35.6709277Z } 2022-11-23T01:30:35.6709339Z 2022-11-23T01:30:35.6709407Z - 2022-11-23T01:30:35.6709537Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6709633Z { 2022-11-23T01:30:35.6709752Z 'guard_types': None, 2022-11-23T01:30:35.6709855Z 'code': None, 2022-11-23T01:30:35.6709973Z 'obj_weakref': None 2022-11-23T01:30:35.6710093Z 'guarded_class': None 2022-11-23T01:30:35.6710154Z } 2022-11-23T01:30:35.6710215Z 2022-11-23T01:30:35.6710459Z [2022-11-23 01:24:26,016] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177 2022-11-23T01:30:35.6710826Z [2022-11-23 01:24:27,501] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4surmslvoq7lkc5hkv6vvqibdltpg3tz55vxpjjm26jhyjgraan.py 2022-11-23T01:30:35.6711086Z [2022-11-23 01:24:27,501] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177 2022-11-23T01:30:35.6711091Z 2022-11-23T01:30:35.6711182Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6711249Z import torch 2022-11-23T01:30:35.6711320Z import random 2022-11-23T01:30:35.6711431Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6711550Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6711557Z 2022-11-23T01:30:35.6711622Z aten = torch.ops.aten 2022-11-23T01:30:35.6711754Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6711844Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6711848Z 2022-11-23T01:30:35.6711852Z 2022-11-23T01:30:35.6711985Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6712188Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6712304Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6712407Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6712504Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6712552Z { 2022-11-23T01:30:35.6712648Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6712713Z { 2022-11-23T01:30:35.6712788Z #pragma omp for 2022-11-23T01:30:35.6712869Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.6712930Z { 2022-11-23T01:30:35.6713072Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6713181Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:35.6713270Z auto tmp2 = tmp0.fmod(tmp1); 2022-11-23T01:30:35.6713358Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6713419Z } 2022-11-23T01:30:35.6713511Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6713591Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.6713652Z { 2022-11-23T01:30:35.6713722Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6713802Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:35.6713903Z auto tmp2 = std::fmod(tmp0, tmp1); 2022-11-23T01:30:35.6713982Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6714044Z } 2022-11-23T01:30:35.6714105Z } 2022-11-23T01:30:35.6714154Z } 2022-11-23T01:30:35.6714233Z ''') 2022-11-23T01:30:35.6714238Z 2022-11-23T01:30:35.6714243Z 2022-11-23T01:30:35.6714357Z async_compile.wait(globals()) 2022-11-23T01:30:35.6714431Z del async_compile 2022-11-23T01:30:35.6714435Z 2022-11-23T01:30:35.6714504Z def call(args): 2022-11-23T01:30:35.6714577Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6714647Z args.clear() 2022-11-23T01:30:35.6714841Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6714990Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6715057Z del arg0_1 2022-11-23T01:30:35.6715123Z del arg1_1 2022-11-23T01:30:35.6715192Z return (buf0, ) 2022-11-23T01:30:35.6715198Z 2022-11-23T01:30:35.6715202Z 2022-11-23T01:30:35.6715275Z if __name__ == "__main__": 2022-11-23T01:30:35.6715386Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6715539Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6715730Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6715903Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6716018Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6716022Z 2022-11-23T01:30:35.6716026Z 2022-11-23T01:30:35.6716119Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6716187Z import torch 2022-11-23T01:30:35.6716255Z import random 2022-11-23T01:30:35.6716366Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6716484Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6716488Z 2022-11-23T01:30:35.6716562Z aten = torch.ops.aten 2022-11-23T01:30:35.6716681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6716772Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6716776Z 2022-11-23T01:30:35.6716783Z 2022-11-23T01:30:35.6716917Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6717122Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6717238Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6717341Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6717438Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6717486Z { 2022-11-23T01:30:35.6717580Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6717642Z { 2022-11-23T01:30:35.6717718Z #pragma omp for 2022-11-23T01:30:35.6717797Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.6717858Z { 2022-11-23T01:30:35.6717979Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:30:35.6718108Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.6718185Z auto tmp2 = tmp0.fmod(tmp1); 2022-11-23T01:30:35.6718275Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6718340Z } 2022-11-23T01:30:35.6718432Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6718514Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:35.6718576Z { 2022-11-23T01:30:35.6718645Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:35.6718729Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.6718830Z auto tmp2 = std::fmod(tmp0, tmp1); 2022-11-23T01:30:35.6718912Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6718973Z } 2022-11-23T01:30:35.6719034Z } 2022-11-23T01:30:35.6719093Z } 2022-11-23T01:30:35.6719158Z ''') 2022-11-23T01:30:35.6719163Z 2022-11-23T01:30:35.6719179Z 2022-11-23T01:30:35.6719253Z async_compile.wait(globals()) 2022-11-23T01:30:35.6719324Z del async_compile 2022-11-23T01:30:35.6719329Z 2022-11-23T01:30:35.6719400Z def call(args): 2022-11-23T01:30:35.6719477Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6719549Z args.clear() 2022-11-23T01:30:35.6719742Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6719929Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6720066Z del arg0_1 2022-11-23T01:30:35.6720136Z del arg1_1 2022-11-23T01:30:35.6720206Z return (buf0, ) 2022-11-23T01:30:35.6720211Z 2022-11-23T01:30:35.6720215Z 2022-11-23T01:30:35.6720289Z if __name__ == "__main__": 2022-11-23T01:30:35.6720400Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6720521Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6720710Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6720888Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6721000Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6721005Z 2022-11-23T01:30:35.6721070Z ok (3.009s) 2022-11-23T01:30:35.6721422Z test_full_like_cpu (__main__.CpuTests) ... [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6721740Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6721956Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6722207Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6722483Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6722801Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6723147Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6723459Z [2022-11-23 01:24:27,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6723833Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6723929Z 2807 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6724026Z 2 LOAD_METHOD 1 (full_like) 2022-11-23T01:30:35.6724118Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6724208Z 6 LOAD_CONST 1 (7.777) 2022-11-23T01:30:35.6724294Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6724383Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6724453Z 12 BINARY_SUBTRACT 2022-11-23T01:30:35.6724526Z 14 RETURN_VALUE 2022-11-23T01:30:35.6724586Z 2022-11-23T01:30:35.6724591Z 2022-11-23T01:30:35.6725016Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2807 2022-11-23T01:30:35.6725235Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6725604Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable()] 2022-11-23T01:30:35.6725931Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6726290Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6726739Z [2022-11-23 01:24:27,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.6726981Z [2022-11-23 01:24:27,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.6727254Z [2022-11-23 01:24:27,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6727500Z [2022-11-23 01:24:27,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6727877Z [2022-11-23 01:24:27,509] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6728119Z [2022-11-23 01:24:27,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6728390Z [2022-11-23 01:24:27,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6728640Z [2022-11-23 01:24:27,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6728886Z [2022-11-23 01:24:27,514] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6729073Z [2022-11-23 01:24:27,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6729203Z __compiled_fn_179 .1538 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6729279Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6729527Z call_function, full_like, , (ex_0_, 7.777), {} 2022-11-23T01:30:35.6729705Z call_function, sub, , (full_like, 1), {} 2022-11-23T01:30:35.6729803Z output, output, output, ((sub,),), {} 2022-11-23T01:30:35.6729808Z 2022-11-23T01:30:35.6730131Z [2022-11-23 01:24:27,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6730223Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6730312Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6730402Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6730481Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6730565Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6730653Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6730730Z 12 RETURN_VALUE 2022-11-23T01:30:35.6730735Z 2022-11-23T01:30:35.6730794Z 2022-11-23T01:30:35.6731114Z [2022-11-23 01:24:27,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6731225Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_179) 2022-11-23T01:30:35.6731312Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6731389Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6731467Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6731558Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6731645Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6731718Z 12 RETURN_VALUE 2022-11-23T01:30:35.6731722Z 2022-11-23T01:30:35.6731781Z 2022-11-23T01:30:35.6731961Z [2022-11-23 01:24:27,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6732018Z - 2022-11-23T01:30:35.6732137Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6732201Z { 2022-11-23T01:30:35.6732345Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6732528Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6732645Z 'obj_weakref': None 2022-11-23T01:30:35.6732874Z 'guarded_class': 2022-11-23T01:30:35.6732926Z } 2022-11-23T01:30:35.6733019Z 2022-11-23T01:30:35.6733089Z - 2022-11-23T01:30:35.6733212Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6733274Z { 2022-11-23T01:30:35.6733414Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6733518Z 'code': None, 2022-11-23T01:30:35.6733718Z 'obj_weakref': 2022-11-23T01:30:35.6733969Z 'guarded_class': 2022-11-23T01:30:35.6734033Z } 2022-11-23T01:30:35.6734097Z 2022-11-23T01:30:35.6734165Z - 2022-11-23T01:30:35.6734294Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6734357Z { 2022-11-23T01:30:35.6734507Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6734673Z 'code': ['___check_obj_id(model, 140534621984160)'], 2022-11-23T01:30:35.6734794Z 'obj_weakref': None 2022-11-23T01:30:35.6735020Z 'guarded_class': 2022-11-23T01:30:35.6735083Z } 2022-11-23T01:30:35.6735144Z 2022-11-23T01:30:35.6735211Z - 2022-11-23T01:30:35.6735319Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6735380Z { 2022-11-23T01:30:35.6735518Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6735735Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6735851Z 'obj_weakref': None 2022-11-23T01:30:35.6736070Z 'guarded_class': 2022-11-23T01:30:35.6736132Z } 2022-11-23T01:30:35.6736185Z 2022-11-23T01:30:35.6736253Z - 2022-11-23T01:30:35.6736384Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6736446Z { 2022-11-23T01:30:35.6736566Z 'guard_types': None, 2022-11-23T01:30:35.6736669Z 'code': None, 2022-11-23T01:30:35.6736784Z 'obj_weakref': None 2022-11-23T01:30:35.6736890Z 'guarded_class': None 2022-11-23T01:30:35.6736953Z } 2022-11-23T01:30:35.6737017Z 2022-11-23T01:30:35.6737272Z [2022-11-23 01:24:27,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178 2022-11-23T01:30:35.6737638Z [2022-11-23 01:24:28,981] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xj/cxjfcxle2qbjyqwriwjerg6ttqqndn6iek5zdyhjyusw4zxzsutf.py 2022-11-23T01:30:35.6737899Z [2022-11-23 01:24:28,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178 2022-11-23T01:30:35.6737907Z 2022-11-23T01:30:35.6737999Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6738066Z import torch 2022-11-23T01:30:35.6738122Z import random 2022-11-23T01:30:35.6738237Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6738358Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6738363Z 2022-11-23T01:30:35.6738440Z aten = torch.ops.aten 2022-11-23T01:30:35.6738574Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6738663Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6738668Z 2022-11-23T01:30:35.6738672Z 2022-11-23T01:30:35.6738802Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6739007Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6739106Z extern "C" void kernel(float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6739166Z { 2022-11-23T01:30:35.6739266Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6739328Z { 2022-11-23T01:30:35.6739406Z #pragma omp for 2022-11-23T01:30:35.6739486Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.6739548Z { 2022-11-23T01:30:35.6739707Z auto tmp0 = at::vec::Vectorized(static_cast(7.777)); 2022-11-23T01:30:35.6739840Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.6739964Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.6740053Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6740117Z } 2022-11-23T01:30:35.6740213Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6740291Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:35.6740340Z { 2022-11-23T01:30:35.6740442Z auto tmp0 = static_cast(7.777); 2022-11-23T01:30:35.6740539Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.6740661Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.6740741Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.6740830Z } 2022-11-23T01:30:35.6740891Z } 2022-11-23T01:30:35.6740938Z } 2022-11-23T01:30:35.6741016Z ''') 2022-11-23T01:30:35.6741021Z 2022-11-23T01:30:35.6741025Z 2022-11-23T01:30:35.6741120Z async_compile.wait(globals()) 2022-11-23T01:30:35.6741195Z del async_compile 2022-11-23T01:30:35.6741200Z 2022-11-23T01:30:35.6741268Z def call(args): 2022-11-23T01:30:35.6741336Z arg0_1, = args 2022-11-23T01:30:35.6741405Z args.clear() 2022-11-23T01:30:35.6741583Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6741684Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6741755Z return (buf0, ) 2022-11-23T01:30:35.6741760Z 2022-11-23T01:30:35.6741764Z 2022-11-23T01:30:35.6741836Z if __name__ == "__main__": 2022-11-23T01:30:35.6741949Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6742070Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6742261Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6742367Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6742372Z 2022-11-23T01:30:35.6742425Z ok (1.480s) 2022-11-23T01:30:35.6742734Z test_fuse_tiled_cpu (__main__.CpuTests) ... [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6743050Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6743265Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6743514Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6743789Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6744109Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6744459Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6744781Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6745151Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6745229Z 3429 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6745318Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6745407Z 4 BINARY_ADD 2022-11-23T01:30:35.6745495Z 6 LOAD_FAST 2 (c) 2022-11-23T01:30:35.6745585Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:35.6745656Z 10 BINARY_ADD 2022-11-23T01:30:35.6745742Z 12 BUILD_TUPLE 2 2022-11-23T01:30:35.6745834Z 14 RETURN_VALUE 2022-11-23T01:30:35.6745896Z 2022-11-23T01:30:35.6745901Z 2022-11-23T01:30:35.6746214Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3429 2022-11-23T01:30:35.6746423Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.6746659Z [2022-11-23 01:24:28,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.6746926Z [2022-11-23 01:24:28,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6747158Z [2022-11-23 01:24:28,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()] 2022-11-23T01:30:35.6747449Z [2022-11-23 01:24:28,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6747758Z [2022-11-23 01:24:28,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6748023Z [2022-11-23 01:24:28,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6748255Z [2022-11-23 01:24:28,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6748629Z [2022-11-23 01:24:28,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6748870Z [2022-11-23 01:24:28,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6749103Z [2022-11-23 01:24:28,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6749362Z [2022-11-23 01:24:28,991] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6749607Z [2022-11-23 01:24:29,008] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6749795Z [2022-11-23 01:24:29,008] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6749928Z __compiled_fn_180 .1544 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6750015Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6750088Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6750173Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.6750348Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.6750519Z call_function, add_1, , (ex_2_, 1), {} 2022-11-23T01:30:35.6750618Z output, output, output, ((add, add_1),), {} 2022-11-23T01:30:35.6750625Z 2022-11-23T01:30:35.6750953Z [2022-11-23 01:24:29,009] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6751045Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6751132Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6751205Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6751294Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6751376Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6751462Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6751536Z 12 RETURN_VALUE 2022-11-23T01:30:35.6751541Z 2022-11-23T01:30:35.6751605Z 2022-11-23T01:30:35.6751929Z [2022-11-23 01:24:29,009] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6752023Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_180) 2022-11-23T01:30:35.6752116Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6752207Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6752309Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6752399Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6752486Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6752559Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6752632Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6752717Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6752790Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.6752876Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.6752978Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6753080Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6753165Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6753269Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6753369Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6753455Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6753530Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.6753615Z 36 BUILD_TUPLE 2 2022-11-23T01:30:35.6753688Z 38 RETURN_VALUE 2022-11-23T01:30:35.6753693Z 2022-11-23T01:30:35.6753751Z 2022-11-23T01:30:35.6753934Z [2022-11-23 01:24:29,010] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6753992Z - 2022-11-23T01:30:35.6754110Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6754174Z { 2022-11-23T01:30:35.6754312Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6754495Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.6754612Z 'obj_weakref': None 2022-11-23T01:30:35.6754836Z 'guarded_class': 2022-11-23T01:30:35.6754890Z } 2022-11-23T01:30:35.6754953Z 2022-11-23T01:30:35.6755022Z - 2022-11-23T01:30:35.6755147Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6755209Z { 2022-11-23T01:30:35.6755350Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6755454Z 'code': None, 2022-11-23T01:30:35.6755654Z 'obj_weakref': 2022-11-23T01:30:35.6755904Z 'guarded_class': 2022-11-23T01:30:35.6755967Z } 2022-11-23T01:30:35.6756029Z 2022-11-23T01:30:35.6756097Z - 2022-11-23T01:30:35.6756219Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6756280Z { 2022-11-23T01:30:35.6756406Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6756509Z 'code': None, 2022-11-23T01:30:35.6756720Z 'obj_weakref': 2022-11-23T01:30:35.6756968Z 'guarded_class': 2022-11-23T01:30:35.6757030Z } 2022-11-23T01:30:35.6757092Z 2022-11-23T01:30:35.6757159Z - 2022-11-23T01:30:35.6757267Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.6757329Z { 2022-11-23T01:30:35.6757467Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6757571Z 'code': None, 2022-11-23T01:30:35.6757780Z 'obj_weakref': 2022-11-23T01:30:35.6758025Z 'guarded_class': 2022-11-23T01:30:35.6758088Z } 2022-11-23T01:30:35.6758138Z 2022-11-23T01:30:35.6758208Z - 2022-11-23T01:30:35.6758336Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6758401Z { 2022-11-23T01:30:35.6758532Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6758723Z 'code': ['___check_obj_id(model, 140534428309184)'], 2022-11-23T01:30:35.6758852Z 'obj_weakref': None 2022-11-23T01:30:35.6759079Z 'guarded_class': 2022-11-23T01:30:35.6759142Z } 2022-11-23T01:30:35.6759193Z 2022-11-23T01:30:35.6759261Z - 2022-11-23T01:30:35.6759380Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6759442Z { 2022-11-23T01:30:35.6759575Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6759788Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6759905Z 'obj_weakref': None 2022-11-23T01:30:35.6760198Z 'guarded_class': 2022-11-23T01:30:35.6760299Z } 2022-11-23T01:30:35.6760361Z 2022-11-23T01:30:35.6760626Z [2022-11-23 01:24:29,016] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179 2022-11-23T01:30:35.6760995Z [2022-11-23 01:24:30,529] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gx/cgxpohnaetfifzu3rggwtrq2br562nduayfmaswdkn6sm7xatvxn.py 2022-11-23T01:30:35.6761258Z [2022-11-23 01:24:30,530] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179 2022-11-23T01:30:35.6761263Z 2022-11-23T01:30:35.6761356Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6761424Z import torch 2022-11-23T01:30:35.6761482Z import random 2022-11-23T01:30:35.6761596Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6761715Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6761720Z 2022-11-23T01:30:35.6761798Z aten = torch.ops.aten 2022-11-23T01:30:35.6761932Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6762022Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6762029Z 2022-11-23T01:30:35.6762034Z 2022-11-23T01:30:35.6762166Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6762368Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6762472Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6762574Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6762676Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.6762773Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6762869Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6762930Z { 2022-11-23T01:30:35.6763028Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6763078Z { 2022-11-23T01:30:35.6763157Z #pragma omp for 2022-11-23T01:30:35.6763242Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.6763303Z { 2022-11-23T01:30:35.6763388Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:35.6763453Z { 2022-11-23T01:30:35.6763582Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:30:35.6763704Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:30:35.6763790Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6763891Z tmp2.store(out_ptr0 + (8*i1) + (128*i0)); 2022-11-23T01:30:35.6763954Z } 2022-11-23T01:30:35.6764043Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.6764131Z for(long i1=128; i1<128; i1+=1) 2022-11-23T01:30:35.6764192Z { 2022-11-23T01:30:35.6764265Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6764348Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:35.6764432Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6764523Z out_ptr0[i1 + (128*i0)] = tmp2; 2022-11-23T01:30:35.6764585Z } 2022-11-23T01:30:35.6764646Z } 2022-11-23T01:30:35.6764859Z #pragma omp for 2022-11-23T01:30:35.6764933Z for(long i0=0; i0<2048; i0+=1) 2022-11-23T01:30:35.6764996Z { 2022-11-23T01:30:35.6765129Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:30:35.6765261Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.6765346Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6765434Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6765497Z } 2022-11-23T01:30:35.6765576Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6765663Z for(long i0=16384; i0<16384; i0+=1) 2022-11-23T01:30:35.6765724Z { 2022-11-23T01:30:35.6765808Z auto tmp0 = in_ptr2[i0]; 2022-11-23T01:30:35.6765906Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.6766036Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6766115Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.6766163Z } 2022-11-23T01:30:35.6766225Z } 2022-11-23T01:30:35.6766286Z } 2022-11-23T01:30:35.6766368Z ''') 2022-11-23T01:30:35.6766373Z 2022-11-23T01:30:35.6766378Z 2022-11-23T01:30:35.6766467Z async_compile.wait(globals()) 2022-11-23T01:30:35.6766538Z del async_compile 2022-11-23T01:30:35.6766543Z 2022-11-23T01:30:35.6766612Z def call(args): 2022-11-23T01:30:35.6766680Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.6766752Z args.clear() 2022-11-23T01:30:35.6766953Z buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6767156Z buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6767365Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6767435Z del arg0_1 2022-11-23T01:30:35.6767501Z del arg1_1 2022-11-23T01:30:35.6767565Z del arg2_1 2022-11-23T01:30:35.6767632Z return (buf0, buf1, ) 2022-11-23T01:30:35.6767637Z 2022-11-23T01:30:35.6767641Z 2022-11-23T01:30:35.6767717Z if __name__ == "__main__": 2022-11-23T01:30:35.6767830Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6767952Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6768148Z arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6768348Z arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6768550Z arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6768671Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.6768676Z 2022-11-23T01:30:35.6768728Z ok (1.549s) 2022-11-23T01:30:35.6769037Z test_gather1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6769355Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6769574Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6769829Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6770104Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6770422Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6770769Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6771129Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6771510Z [2022-11-23 01:24:30,536] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6771593Z 1651 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6771688Z 2 LOAD_METHOD 1 (gather) 2022-11-23T01:30:35.6771778Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6771874Z 6 LOAD_METHOD 2 (expand) 2022-11-23T01:30:35.6771961Z 8 BUILD_LIST 0 2022-11-23T01:30:35.6772058Z 10 LOAD_CONST 1 ((4, 5, 10, 6)) 2022-11-23T01:30:35.6772144Z 12 LIST_EXTEND 1 2022-11-23T01:30:35.6772260Z 14 CALL_METHOD 1 2022-11-23T01:30:35.6772337Z 16 LOAD_CONST 2 (3) 2022-11-23T01:30:35.6772427Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6772514Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:35.6772588Z 22 BINARY_ADD 2022-11-23T01:30:35.6772674Z 24 CALL_METHOD 3 2022-11-23T01:30:35.6772679Z 2022-11-23T01:30:35.6772771Z 1652 26 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6772865Z 28 LOAD_METHOD 1 (gather) 2022-11-23T01:30:35.6772938Z 30 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6773032Z 32 LOAD_METHOD 2 (expand) 2022-11-23T01:30:35.6773118Z 34 BUILD_LIST 0 2022-11-23T01:30:35.6773214Z 36 LOAD_CONST 1 ((4, 5, 10, 6)) 2022-11-23T01:30:35.6773300Z 38 LIST_EXTEND 1 2022-11-23T01:30:35.6773386Z 40 CALL_METHOD 1 2022-11-23T01:30:35.6773522Z 42 LOAD_CONST 4 (-1) 2022-11-23T01:30:35.6773598Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6773685Z 46 LOAD_CONST 3 (1) 2022-11-23T01:30:35.6773757Z 48 BINARY_ADD 2022-11-23T01:30:35.6773842Z 50 CALL_METHOD 3 2022-11-23T01:30:35.6773847Z 2022-11-23T01:30:35.6773931Z 1650 52 BUILD_TUPLE 2 2022-11-23T01:30:35.6774006Z 54 RETURN_VALUE 2022-11-23T01:30:35.6774067Z 2022-11-23T01:30:35.6774072Z 2022-11-23T01:30:35.6774394Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1651 2022-11-23T01:30:35.6774601Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6774975Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable()] 2022-11-23T01:30:35.6775302Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.6775659Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6776052Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:35.6776487Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable()] 2022-11-23T01:30:35.6777007Z [2022-11-23 01:24:30,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.6777430Z [2022-11-23 01:24:30,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable()] 2022-11-23T01:30:35.6777779Z [2022-11-23 01:24:30,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6778162Z [2022-11-23 01:24:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6778608Z [2022-11-23 01:24:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6779073Z [2022-11-23 01:24:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6779489Z [2022-11-23 01:24:30,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6779804Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1652 2022-11-23T01:30:35.6780049Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.6780437Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6780792Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6781175Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6781596Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:35.6782053Z [2022-11-23 01:24:30,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable()] 2022-11-23T01:30:35.6782547Z [2022-11-23 01:24:30,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.6782999Z [2022-11-23 01:24:30,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable()] 2022-11-23T01:30:35.6783378Z [2022-11-23 01:24:30,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6783825Z [2022-11-23 01:24:30,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6784273Z [2022-11-23 01:24:30,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6784767Z [2022-11-23 01:24:30,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6785215Z [2022-11-23 01:24:30,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6785562Z [2022-11-23 01:24:30,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1650 2022-11-23T01:30:35.6785828Z [2022-11-23 01:24:30,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6786075Z [2022-11-23 01:24:30,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6786454Z [2022-11-23 01:24:30,544] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6786685Z [2022-11-23 01:24:30,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6786917Z [2022-11-23 01:24:30,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6787171Z [2022-11-23 01:24:30,546] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6787422Z [2022-11-23 01:24:30,556] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6787610Z [2022-11-23 01:24:30,557] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6787743Z __compiled_fn_181 .1550 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6787831Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6787917Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6788013Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {} 2022-11-23T01:30:35.6788185Z call_function, add, , (ex_1_, 1), {} 2022-11-23T01:30:35.6788432Z call_function, gather, , (expand, 3, add), {} 2022-11-23T01:30:35.6788542Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {} 2022-11-23T01:30:35.6788716Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:30:35.6788968Z call_function, gather_1, , (expand_1, -1, add_1), {} 2022-11-23T01:30:35.6789080Z output, output, output, ((gather, gather_1),), {} 2022-11-23T01:30:35.6789085Z 2022-11-23T01:30:35.6789411Z [2022-11-23 01:24:30,557] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6789503Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6789579Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6789663Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6789754Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6789838Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6789927Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6790002Z 12 RETURN_VALUE 2022-11-23T01:30:35.6790010Z 2022-11-23T01:30:35.6790070Z 2022-11-23T01:30:35.6790410Z [2022-11-23 01:24:30,557] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6790519Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_181) 2022-11-23T01:30:35.6790606Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6790694Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6790770Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6790856Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6790944Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6791007Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6791094Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6791197Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6791298Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6791414Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6791487Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6791586Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6791675Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6791737Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6791822Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.6791896Z 32 RETURN_VALUE 2022-11-23T01:30:35.6791903Z 2022-11-23T01:30:35.6791962Z 2022-11-23T01:30:35.6792145Z [2022-11-23 01:24:30,558] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6792214Z - 2022-11-23T01:30:35.6792332Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6792384Z { 2022-11-23T01:30:35.6792522Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6792707Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6792825Z 'obj_weakref': None 2022-11-23T01:30:35.6793052Z 'guarded_class': 2022-11-23T01:30:35.6793116Z } 2022-11-23T01:30:35.6793178Z 2022-11-23T01:30:35.6793237Z - 2022-11-23T01:30:35.6793359Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6793421Z { 2022-11-23T01:30:35.6793564Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6793670Z 'code': None, 2022-11-23T01:30:35.6793882Z 'obj_weakref': 2022-11-23T01:30:35.6794132Z 'guarded_class': 2022-11-23T01:30:35.6794182Z } 2022-11-23T01:30:35.6794245Z 2022-11-23T01:30:35.6794315Z - 2022-11-23T01:30:35.6794436Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6794497Z { 2022-11-23T01:30:35.6794636Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6794744Z 'code': None, 2022-11-23T01:30:35.6794937Z 'obj_weakref': 2022-11-23T01:30:35.6795188Z 'guarded_class': 2022-11-23T01:30:35.6795253Z } 2022-11-23T01:30:35.6795314Z 2022-11-23T01:30:35.6795383Z - 2022-11-23T01:30:35.6795512Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6795573Z { 2022-11-23T01:30:35.6795693Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6795859Z 'code': ['___check_obj_id(model, 140534431381344)'], 2022-11-23T01:30:35.6795977Z 'obj_weakref': None 2022-11-23T01:30:35.6796205Z 'guarded_class': 2022-11-23T01:30:35.6796269Z } 2022-11-23T01:30:35.6796330Z 2022-11-23T01:30:35.6796400Z - 2022-11-23T01:30:35.6796509Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6796570Z { 2022-11-23T01:30:35.6796770Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6796989Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6797107Z 'obj_weakref': None 2022-11-23T01:30:35.6797326Z 'guarded_class': 2022-11-23T01:30:35.6797390Z } 2022-11-23T01:30:35.6797440Z 2022-11-23T01:30:35.6797508Z - 2022-11-23T01:30:35.6797641Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6797703Z { 2022-11-23T01:30:35.6797820Z 'guard_types': None, 2022-11-23T01:30:35.6797926Z 'code': None, 2022-11-23T01:30:35.6798030Z 'obj_weakref': None 2022-11-23T01:30:35.6798150Z 'guarded_class': None 2022-11-23T01:30:35.6798257Z } 2022-11-23T01:30:35.6798323Z 2022-11-23T01:30:35.6798584Z [2022-11-23 01:24:30,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180 2022-11-23T01:30:35.6798948Z [2022-11-23 01:24:32,091] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bz/cbz2taoax5gtgg4ywnk7eyhg3i3vyeo4v6x5nwtu7byp6ih7sugm.py 2022-11-23T01:30:35.6799212Z [2022-11-23 01:24:32,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180 2022-11-23T01:30:35.6799218Z 2022-11-23T01:30:35.6799311Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6799366Z import torch 2022-11-23T01:30:35.6799433Z import random 2022-11-23T01:30:35.6799547Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6799666Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6799671Z 2022-11-23T01:30:35.6799749Z aten = torch.ops.aten 2022-11-23T01:30:35.6799880Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6799972Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6800044Z 2022-11-23T01:30:35.6800052Z 2022-11-23T01:30:35.6800205Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6800396Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6800513Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6800618Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6800716Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6800811Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6800873Z { 2022-11-23T01:30:35.6800970Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6801019Z { 2022-11-23T01:30:35.6801096Z #pragma omp for 2022-11-23T01:30:35.6801176Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:30:35.6801241Z { 2022-11-23T01:30:35.6801323Z #pragma GCC ivdep 2022-11-23T01:30:35.6801408Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:35.6801469Z { 2022-11-23T01:30:35.6801520Z { 2022-11-23T01:30:35.6801589Z { 2022-11-23T01:30:35.6801692Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:35.6801793Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.6801887Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6801990Z auto tmp3 = in_ptr1[tmp2 + (6*i1)]; 2022-11-23T01:30:35.6802083Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:35.6802164Z out_ptr1[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:35.6802229Z } 2022-11-23T01:30:35.6802292Z } 2022-11-23T01:30:35.6802354Z } 2022-11-23T01:30:35.6802418Z } 2022-11-23T01:30:35.6802479Z } 2022-11-23T01:30:35.6802538Z } 2022-11-23T01:30:35.6802605Z ''') 2022-11-23T01:30:35.6802610Z 2022-11-23T01:30:35.6802615Z 2022-11-23T01:30:35.6802704Z async_compile.wait(globals()) 2022-11-23T01:30:35.6802775Z del async_compile 2022-11-23T01:30:35.6802779Z 2022-11-23T01:30:35.6802879Z def call(args): 2022-11-23T01:30:35.6802956Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6803025Z args.clear() 2022-11-23T01:30:35.6803238Z buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6803449Z buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6803626Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6803694Z del arg0_1 2022-11-23T01:30:35.6803758Z del arg1_1 2022-11-23T01:30:35.6803833Z return (buf0, buf1, ) 2022-11-23T01:30:35.6803837Z 2022-11-23T01:30:35.6803842Z 2022-11-23T01:30:35.6803917Z if __name__ == "__main__": 2022-11-23T01:30:35.6804059Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6804181Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6804381Z arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6804588Z arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6804701Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6804706Z 2022-11-23T01:30:35.6804929Z ok (1.561s) 2022-11-23T01:30:35.6805041Z test_gather2_cpu (__main__.CpuTests) ... ok (0.001s) 2022-11-23T01:30:35.6805361Z test_gather_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6805677Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6805895Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6806149Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6806413Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6806735Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6807079Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6807402Z [2022-11-23 01:24:32,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6807773Z [2022-11-23 01:24:32,099] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6807876Z 2377 0 LOAD_FAST 0 (node_feat) 2022-11-23T01:30:35.6807977Z 2 LOAD_FAST 1 (edge_index) 2022-11-23T01:30:35.6808067Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6808144Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6808208Z 8 BINARY_SUBSCR 2022-11-23T01:30:35.6808309Z 10 STORE_FAST 2 (src_node_feat) 2022-11-23T01:30:35.6808316Z 2022-11-23T01:30:35.6808409Z 2378 12 LOAD_FAST 0 (node_feat) 2022-11-23T01:30:35.6808506Z 14 LOAD_FAST 1 (edge_index) 2022-11-23T01:30:35.6808595Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6808669Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.6808743Z 20 BINARY_SUBSCR 2022-11-23T01:30:35.6808845Z 22 STORE_FAST 3 (dst_node_feat) 2022-11-23T01:30:35.6808851Z 2022-11-23T01:30:35.6808936Z 2379 24 LOAD_FAST 2 (src_node_feat) 2022-11-23T01:30:35.6809081Z 26 LOAD_FAST 3 (dst_node_feat) 2022-11-23T01:30:35.6809161Z 28 BINARY_SUBTRACT 2022-11-23T01:30:35.6809249Z 30 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6809322Z 32 BINARY_ADD 2022-11-23T01:30:35.6809416Z 34 STORE_FAST 4 (edge_feat) 2022-11-23T01:30:35.6809421Z 2022-11-23T01:30:35.6809515Z 2380 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.6809611Z 38 LOAD_METHOD 1 (zeros_like) 2022-11-23T01:30:35.6809693Z 40 LOAD_FAST 0 (node_feat) 2022-11-23T01:30:35.6809779Z 42 CALL_METHOD 1 2022-11-23T01:30:35.6809883Z 44 STORE_FAST 5 (new_node_feat) 2022-11-23T01:30:35.6809922Z 2022-11-23T01:30:35.6810020Z 2381 46 LOAD_FAST 5 (new_node_feat) 2022-11-23T01:30:35.6810122Z 48 LOAD_METHOD 2 (scatter_add_) 2022-11-23T01:30:35.6810129Z 2022-11-23T01:30:35.6810215Z 2382 50 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6810312Z 52 LOAD_FAST 1 (edge_index) 2022-11-23T01:30:35.6810398Z 54 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6810462Z 56 BINARY_SUBSCR 2022-11-23T01:30:35.6810558Z 58 LOAD_METHOD 3 (unsqueeze) 2022-11-23T01:30:35.6810697Z 60 LOAD_CONST 3 (-1) 2022-11-23T01:30:35.6810784Z 62 CALL_METHOD 1 2022-11-23T01:30:35.6810880Z 64 LOAD_METHOD 4 (expand_as) 2022-11-23T01:30:35.6810971Z 66 LOAD_FAST 4 (edge_feat) 2022-11-23T01:30:35.6811057Z 68 CALL_METHOD 1 2022-11-23T01:30:35.6811140Z 70 LOAD_FAST 4 (edge_feat) 2022-11-23T01:30:35.6811144Z 2022-11-23T01:30:35.6811230Z 2381 72 CALL_METHOD 3 2022-11-23T01:30:35.6811303Z 74 POP_TOP 2022-11-23T01:30:35.6811308Z 2022-11-23T01:30:35.6811407Z 2384 76 LOAD_FAST 5 (new_node_feat) 2022-11-23T01:30:35.6811482Z 78 RETURN_VALUE 2022-11-23T01:30:35.6811543Z 2022-11-23T01:30:35.6811548Z 2022-11-23T01:30:35.6811863Z [2022-11-23 01:24:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2377 2022-11-23T01:30:35.6812085Z [2022-11-23 01:24:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [] 2022-11-23T01:30:35.6812321Z [2022-11-23 01:24:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()] 2022-11-23T01:30:35.6812586Z [2022-11-23 01:24:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6812899Z [2022-11-23 01:24:32,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6813176Z [2022-11-23 01:24:32,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6813431Z [2022-11-23 01:24:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()] 2022-11-23T01:30:35.6813738Z [2022-11-23 01:24:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2378 2022-11-23T01:30:35.6813955Z [2022-11-23 01:24:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [] 2022-11-23T01:30:35.6814202Z [2022-11-23 01:24:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()] 2022-11-23T01:30:35.6814465Z [2022-11-23 01:24:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6814807Z [2022-11-23 01:24:32,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6815069Z [2022-11-23 01:24:32,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6815327Z [2022-11-23 01:24:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()] 2022-11-23T01:30:35.6815637Z [2022-11-23 01:24:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2379 2022-11-23T01:30:35.6815863Z [2022-11-23 01:24:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat [] 2022-11-23T01:30:35.6816115Z [2022-11-23 01:24:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()] 2022-11-23T01:30:35.6816427Z [2022-11-23 01:24:32,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6816666Z [2022-11-23 01:24:32,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.6816940Z [2022-11-23 01:24:32,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6817188Z [2022-11-23 01:24:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()] 2022-11-23T01:30:35.6817498Z [2022-11-23 01:24:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2380 2022-11-23T01:30:35.6817700Z [2022-11-23 01:24:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.6818074Z [2022-11-23 01:24:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable()] 2022-11-23T01:30:35.6818418Z [2022-11-23 01:24:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable()] 2022-11-23T01:30:35.6818780Z [2022-11-23 01:24:32,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6819035Z [2022-11-23 01:24:32,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()] 2022-11-23T01:30:35.6819346Z [2022-11-23 01:24:32,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381 2022-11-23T01:30:35.6819571Z [2022-11-23 01:24:32,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat [] 2022-11-23T01:30:35.6819820Z [2022-11-23 01:24:32,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()] 2022-11-23T01:30:35.6820129Z [2022-11-23 01:24:32,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2382 2022-11-23T01:30:35.6820418Z [2022-11-23 01:24:32,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)] 2022-11-23T01:30:35.6820751Z [2022-11-23 01:24:32,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)] 2022-11-23T01:30:35.6821086Z [2022-11-23 01:24:32,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6821487Z [2022-11-23 01:24:32,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6821879Z [2022-11-23 01:24:32,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6822277Z [2022-11-23 01:24:32,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)] 2022-11-23T01:30:35.6822716Z [2022-11-23 01:24:32,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)] 2022-11-23T01:30:35.6823077Z [2022-11-23 01:24:32,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6823485Z [2022-11-23 01:24:32,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)] 2022-11-23T01:30:35.6823946Z [2022-11-23 01:24:32,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()] 2022-11-23T01:30:35.6824308Z [2022-11-23 01:24:32,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.6824619Z [2022-11-23 01:24:32,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381 2022-11-23T01:30:35.6824998Z [2022-11-23 01:24:32,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6825243Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.6825555Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2384 2022-11-23T01:30:35.6825767Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat [] 2022-11-23T01:30:35.6826012Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6826392Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6826637Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.6826870Z [2022-11-23 01:24:32,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6827124Z [2022-11-23 01:24:32,112] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6827373Z [2022-11-23 01:24:32,129] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6827558Z [2022-11-23 01:24:32,129] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6827691Z __compiled_fn_182 .1556 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6827781Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6827855Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6828041Z call_function, getitem, , (ex_1_, 0), {} 2022-11-23T01:30:35.6828238Z call_function, getitem_1, , (ex_0_, getitem), {} 2022-11-23T01:30:35.6828422Z call_function, getitem_2, , (ex_1_, 1), {} 2022-11-23T01:30:35.6828620Z call_function, getitem_3, , (ex_0_, getitem_2), {} 2022-11-23T01:30:35.6828813Z call_function, sub, , (getitem_1, getitem_3), {} 2022-11-23T01:30:35.6829004Z call_function, add, , (sub, 1), {} 2022-11-23T01:30:35.6829237Z call_function, zeros_like, , (ex_0_,), {} 2022-11-23T01:30:35.6829420Z call_function, getitem_4, , (ex_1_, 1), {} 2022-11-23T01:30:35.6829585Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {} 2022-11-23T01:30:35.6829705Z call_method, expand_as, expand_as, (unsqueeze, add), {} 2022-11-23T01:30:35.6829845Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {} 2022-11-23T01:30:35.6829950Z output, output, output, ((zeros_like,),), {} 2022-11-23T01:30:35.6829957Z 2022-11-23T01:30:35.6830283Z [2022-11-23 01:24:32,129] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6830406Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6830483Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6830571Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6830661Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6830747Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6830838Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6830913Z 12 RETURN_VALUE 2022-11-23T01:30:35.6830918Z 2022-11-23T01:30:35.6830981Z 2022-11-23T01:30:35.6831307Z [2022-11-23 01:24:32,129] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6831401Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_182) 2022-11-23T01:30:35.6831492Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6831580Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6831658Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6831748Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6831835Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6831911Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6831986Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6832075Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.6832148Z 18 RETURN_VALUE 2022-11-23T01:30:35.6832153Z 2022-11-23T01:30:35.6832216Z 2022-11-23T01:30:35.6832397Z [2022-11-23 01:24:32,130] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6832467Z - 2022-11-23T01:30:35.6832586Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6832638Z { 2022-11-23T01:30:35.6832780Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6832965Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6833082Z 'obj_weakref': None 2022-11-23T01:30:35.6833308Z 'guarded_class': 2022-11-23T01:30:35.6833372Z } 2022-11-23T01:30:35.6833437Z 2022-11-23T01:30:35.6833494Z - 2022-11-23T01:30:35.6833616Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6833677Z { 2022-11-23T01:30:35.6833819Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6833925Z 'code': None, 2022-11-23T01:30:35.6834132Z 'obj_weakref': 2022-11-23T01:30:35.6834381Z 'guarded_class': 2022-11-23T01:30:35.6834443Z } 2022-11-23T01:30:35.6834493Z 2022-11-23T01:30:35.6834562Z - 2022-11-23T01:30:35.6834682Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6834744Z { 2022-11-23T01:30:35.6834882Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6834990Z 'code': None, 2022-11-23T01:30:35.6835208Z 'obj_weakref': 2022-11-23T01:30:35.6835456Z 'guarded_class': 2022-11-23T01:30:35.6835518Z } 2022-11-23T01:30:35.6835580Z 2022-11-23T01:30:35.6835648Z - 2022-11-23T01:30:35.6835777Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6835839Z { 2022-11-23T01:30:35.6835958Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6836128Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:35.6836245Z 'obj_weakref': None 2022-11-23T01:30:35.6836472Z 'guarded_class': 2022-11-23T01:30:35.6836534Z } 2022-11-23T01:30:35.6836627Z 2022-11-23T01:30:35.6836695Z - 2022-11-23T01:30:35.6836802Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6836865Z { 2022-11-23T01:30:35.6837003Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6837216Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6837333Z 'obj_weakref': None 2022-11-23T01:30:35.6837556Z 'guarded_class': 2022-11-23T01:30:35.6837617Z } 2022-11-23T01:30:35.6837666Z 2022-11-23T01:30:35.6837733Z - 2022-11-23T01:30:35.6837865Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.6837928Z { 2022-11-23T01:30:35.6838046Z 'guard_types': None, 2022-11-23T01:30:35.6838150Z 'code': None, 2022-11-23T01:30:35.6838266Z 'obj_weakref': None 2022-11-23T01:30:35.6838374Z 'guarded_class': None 2022-11-23T01:30:35.6838439Z } 2022-11-23T01:30:35.6838500Z 2022-11-23T01:30:35.6838758Z [2022-11-23 01:24:32,143] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181 2022-11-23T01:30:35.6839124Z [2022-11-23 01:24:33,666] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nn/cnngz4t4aqp63vnbaelqswwn7ot4xfnvhe7hizq7bchjml7xqwpl.py 2022-11-23T01:30:35.6839386Z [2022-11-23 01:24:33,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181 2022-11-23T01:30:35.6839391Z 2022-11-23T01:30:35.6839484Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6839551Z import torch 2022-11-23T01:30:35.6839606Z import random 2022-11-23T01:30:35.6839720Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6839840Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6839845Z 2022-11-23T01:30:35.6839922Z aten = torch.ops.aten 2022-11-23T01:30:35.6840132Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6840224Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6840229Z 2022-11-23T01:30:35.6840233Z 2022-11-23T01:30:35.6840370Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6840573Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6840677Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.6840779Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.6840876Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.6840938Z { 2022-11-23T01:30:35.6841036Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6841098Z { 2022-11-23T01:30:35.6841174Z #pragma omp for 2022-11-23T01:30:35.6841242Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.6841304Z { 2022-11-23T01:30:35.6841449Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:30:35.6841541Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6841603Z } 2022-11-23T01:30:35.6841695Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6841810Z for(long i0=512; i0<512; i0+=1) 2022-11-23T01:30:35.6841860Z { 2022-11-23T01:30:35.6841959Z auto tmp0 = static_cast(0); 2022-11-23T01:30:35.6842037Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.6842097Z } 2022-11-23T01:30:35.6842172Z #pragma omp for 2022-11-23T01:30:35.6842252Z for(long i0=0; i0<80; i0+=1) 2022-11-23T01:30:35.6842312Z { 2022-11-23T01:30:35.6842379Z #pragma GCC ivdep 2022-11-23T01:30:35.6842460Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:35.6842525Z { 2022-11-23T01:30:35.6842590Z { 2022-11-23T01:30:35.6842656Z { 2022-11-23T01:30:35.6842753Z auto tmp0 = in_ptr0[80 + i0]; 2022-11-23T01:30:35.6842845Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:30:35.6842977Z auto tmp2 = in_ptr1[i1 + (32*tmp1)]; 2022-11-23T01:30:35.6843079Z auto tmp3 = in_ptr1[i1 + (32*tmp0)]; 2022-11-23T01:30:35.6843220Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:35.6843324Z auto tmp5 = static_cast(1); 2022-11-23T01:30:35.6843414Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:35.6843525Z atomic_add(&out_ptr0[i1 + (32*tmp0)], tmp6); 2022-11-23T01:30:35.6843591Z } 2022-11-23T01:30:35.6843642Z } 2022-11-23T01:30:35.6843706Z } 2022-11-23T01:30:35.6843766Z } 2022-11-23T01:30:35.6843826Z } 2022-11-23T01:30:35.6843887Z } 2022-11-23T01:30:35.6843965Z ''') 2022-11-23T01:30:35.6843970Z 2022-11-23T01:30:35.6843975Z 2022-11-23T01:30:35.6844064Z async_compile.wait(globals()) 2022-11-23T01:30:35.6844122Z del async_compile 2022-11-23T01:30:35.6844129Z 2022-11-23T01:30:35.6844198Z def call(args): 2022-11-23T01:30:35.6844272Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6844342Z args.clear() 2022-11-23T01:30:35.6844543Z buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6844706Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.6844897Z del arg0_1 2022-11-23T01:30:35.6844951Z del arg1_1 2022-11-23T01:30:35.6845021Z return (buf0, ) 2022-11-23T01:30:35.6845026Z 2022-11-23T01:30:35.6845030Z 2022-11-23T01:30:35.6845106Z if __name__ == "__main__": 2022-11-23T01:30:35.6845220Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6845342Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6845541Z arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6845735Z arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.6845851Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6845855Z 2022-11-23T01:30:35.6845908Z ok (1.574s) 2022-11-23T01:30:35.6846209Z test_gelu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:33,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6846527Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6846747Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6847001Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6847281Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6847598Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6847988Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6848314Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6848685Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6848766Z 2439 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6848859Z 2 LOAD_METHOD 1 (gelu) 2022-11-23T01:30:35.6848947Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6849035Z 6 CALL_METHOD 1 2022-11-23T01:30:35.6849168Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:35.6849242Z 10 BINARY_ADD 2022-11-23T01:30:35.6849334Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6849414Z 14 LOAD_METHOD 1 (gelu) 2022-11-23T01:30:35.6849501Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6849586Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6849657Z 20 BINARY_ADD 2022-11-23T01:30:35.6849743Z 22 CALL_METHOD 1 2022-11-23T01:30:35.6849828Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6849905Z 26 RETURN_VALUE 2022-11-23T01:30:35.6849952Z 2022-11-23T01:30:35.6849969Z 2022-11-23T01:30:35.6850271Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2439 2022-11-23T01:30:35.6850487Z [2022-11-23 01:24:33,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6850793Z [2022-11-23 01:24:33,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable()] 2022-11-23T01:30:35.6851042Z [2022-11-23 01:24:33,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)] 2022-11-23T01:30:35.6851324Z [2022-11-23 01:24:33,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()] 2022-11-23T01:30:35.6851559Z [2022-11-23 01:24:33,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.6851837Z [2022-11-23 01:24:33,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6852077Z [2022-11-23 01:24:33,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6852404Z [2022-11-23 01:24:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6852672Z [2022-11-23 01:24:33,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)] 2022-11-23T01:30:35.6852977Z [2022-11-23 01:24:33,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()] 2022-11-23T01:30:35.6853325Z [2022-11-23 01:24:33,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6853634Z [2022-11-23 01:24:33,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()] 2022-11-23T01:30:35.6853899Z [2022-11-23 01:24:33,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6854138Z [2022-11-23 01:24:33,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6854544Z [2022-11-23 01:24:33,690] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6854790Z [2022-11-23 01:24:33,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6855022Z [2022-11-23 01:24:33,690] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6855275Z [2022-11-23 01:24:33,692] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6855523Z [2022-11-23 01:24:33,707] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6855698Z [2022-11-23 01:24:33,708] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6855831Z __compiled_fn_183 .1562 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6855947Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6856051Z call_function, gelu, aten.gelu, (ex_0_,), {} 2022-11-23T01:30:35.6856225Z call_function, add, , (gelu, 2), {} 2022-11-23T01:30:35.6856394Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.6856497Z call_function, gelu_1, aten.gelu, (add_1,), {} 2022-11-23T01:30:35.6856587Z output, output, output, ((add, gelu_1),), {} 2022-11-23T01:30:35.6856605Z 2022-11-23T01:30:35.6856918Z [2022-11-23 01:24:33,708] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6857012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6857100Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6857187Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6857277Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6857362Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6857449Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6857513Z 12 RETURN_VALUE 2022-11-23T01:30:35.6857518Z 2022-11-23T01:30:35.6857579Z 2022-11-23T01:30:35.6857905Z [2022-11-23 01:24:33,708] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6858012Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_183) 2022-11-23T01:30:35.6858102Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6858189Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6858263Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6858351Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6858440Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6858540Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6858630Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6858705Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6858806Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6858894Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6858968Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6859043Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.6859117Z 26 RETURN_VALUE 2022-11-23T01:30:35.6859122Z 2022-11-23T01:30:35.6859183Z 2022-11-23T01:30:35.6859361Z [2022-11-23 01:24:33,709] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6859429Z - 2022-11-23T01:30:35.6859547Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6859610Z { 2022-11-23T01:30:35.6859737Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6859922Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6860039Z 'obj_weakref': None 2022-11-23T01:30:35.6860265Z 'guarded_class': 2022-11-23T01:30:35.6860330Z } 2022-11-23T01:30:35.6860417Z 2022-11-23T01:30:35.6860487Z - 2022-11-23T01:30:35.6860599Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6860661Z { 2022-11-23T01:30:35.6860803Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6860908Z 'code': None, 2022-11-23T01:30:35.6861121Z 'obj_weakref': 2022-11-23T01:30:35.6861373Z 'guarded_class': 2022-11-23T01:30:35.6861436Z } 2022-11-23T01:30:35.6861486Z 2022-11-23T01:30:35.6861556Z - 2022-11-23T01:30:35.6861685Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6861748Z { 2022-11-23T01:30:35.6861909Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6862078Z 'code': ['___check_obj_id(model, 140534431368960)'], 2022-11-23T01:30:35.6862196Z 'obj_weakref': None 2022-11-23T01:30:35.6862416Z 'guarded_class': 2022-11-23T01:30:35.6862479Z } 2022-11-23T01:30:35.6862541Z 2022-11-23T01:30:35.6862610Z - 2022-11-23T01:30:35.6862731Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6862793Z { 2022-11-23T01:30:35.6862928Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6863131Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6863248Z 'obj_weakref': None 2022-11-23T01:30:35.6863467Z 'guarded_class': 2022-11-23T01:30:35.6863531Z } 2022-11-23T01:30:35.6863596Z 2022-11-23T01:30:35.6863664Z - 2022-11-23T01:30:35.6863794Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6863843Z { 2022-11-23T01:30:35.6863962Z 'guard_types': None, 2022-11-23T01:30:35.6864066Z 'code': None, 2022-11-23T01:30:35.6864183Z 'obj_weakref': None 2022-11-23T01:30:35.6864302Z 'guarded_class': None 2022-11-23T01:30:35.6864364Z } 2022-11-23T01:30:35.6864426Z 2022-11-23T01:30:35.6864673Z [2022-11-23 01:24:33,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182 2022-11-23T01:30:35.6865037Z [2022-11-23 01:24:35,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt36lrg2pnorhtotfdavw2mqc7uyzf75bmg7qzg23jwbm6lgzgu.py 2022-11-23T01:30:35.6865299Z [2022-11-23 01:24:35,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182 2022-11-23T01:30:35.6865305Z 2022-11-23T01:30:35.6865401Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6865471Z import torch 2022-11-23T01:30:35.6865540Z import random 2022-11-23T01:30:35.6865657Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6865776Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6865780Z 2022-11-23T01:30:35.6865845Z aten = torch.ops.aten 2022-11-23T01:30:35.6865977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6866067Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6866072Z 2022-11-23T01:30:35.6866076Z 2022-11-23T01:30:35.6866210Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6866416Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6866533Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6866633Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6866728Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.6866779Z { 2022-11-23T01:30:35.6866878Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6866940Z { 2022-11-23T01:30:35.6867018Z #pragma omp for 2022-11-23T01:30:35.6867131Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.6867197Z { 2022-11-23T01:30:35.6867260Z { 2022-11-23T01:30:35.6867312Z { 2022-11-23T01:30:35.6867403Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6867512Z auto tmp1 = static_cast(0.5); 2022-11-23T01:30:35.6867602Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.6867713Z auto tmp3 = static_cast(0.7071067811865476); 2022-11-23T01:30:35.6867803Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6867903Z auto tmp5 = std::erf(tmp4); 2022-11-23T01:30:35.6867993Z auto tmp6 = static_cast(1); 2022-11-23T01:30:35.6868082Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:30:35.6868203Z auto tmp8 = tmp2 * tmp7; 2022-11-23T01:30:35.6868303Z auto tmp9 = static_cast(2); 2022-11-23T01:30:35.6868397Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:35.6868487Z auto tmp11 = tmp0 + tmp6; 2022-11-23T01:30:35.6868578Z auto tmp12 = tmp11 * tmp1; 2022-11-23T01:30:35.6868655Z auto tmp13 = tmp11 * tmp3; 2022-11-23T01:30:35.6868755Z auto tmp14 = std::erf(tmp13); 2022-11-23T01:30:35.6868845Z auto tmp15 = tmp14 + tmp6; 2022-11-23T01:30:35.6868937Z auto tmp16 = tmp12 * tmp15; 2022-11-23T01:30:35.6869023Z out_ptr0[i0] = tmp10; 2022-11-23T01:30:35.6869105Z out_ptr1[i0] = tmp16; 2022-11-23T01:30:35.6869169Z } 2022-11-23T01:30:35.6869219Z } 2022-11-23T01:30:35.6869280Z } 2022-11-23T01:30:35.6869340Z } 2022-11-23T01:30:35.6869403Z } 2022-11-23T01:30:35.6869482Z ''') 2022-11-23T01:30:35.6869487Z 2022-11-23T01:30:35.6869491Z 2022-11-23T01:30:35.6869579Z async_compile.wait(globals()) 2022-11-23T01:30:35.6869653Z del async_compile 2022-11-23T01:30:35.6869657Z 2022-11-23T01:30:35.6869714Z def call(args): 2022-11-23T01:30:35.6869783Z arg0_1, = args 2022-11-23T01:30:35.6869853Z args.clear() 2022-11-23T01:30:35.6870056Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6870254Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6870415Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.6870482Z del arg0_1 2022-11-23T01:30:35.6870546Z return (buf0, buf1, ) 2022-11-23T01:30:35.6870562Z 2022-11-23T01:30:35.6870567Z 2022-11-23T01:30:35.6870677Z if __name__ == "__main__": 2022-11-23T01:30:35.6870790Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6870914Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6871110Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6871216Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6871220Z 2022-11-23T01:30:35.6871285Z ok (1.579s) 2022-11-23T01:30:35.6871582Z test_glu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:35,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6871898Z [2022-11-23 01:24:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6872101Z [2022-11-23 01:24:35,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6872353Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6872630Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6872981Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6873328Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6873650Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6874024Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6874119Z 2545 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6874211Z 2 LOAD_METHOD 1 (glu) 2022-11-23T01:30:35.6874329Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6874453Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:30:35.6874541Z 8 CALL_METHOD 2 2022-11-23T01:30:35.6874632Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6874719Z 12 LOAD_METHOD 1 (glu) 2022-11-23T01:30:35.6874810Z 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6874898Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6874983Z 18 CALL_METHOD 2 2022-11-23T01:30:35.6875061Z 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6875149Z 22 LOAD_METHOD 1 (glu) 2022-11-23T01:30:35.6875236Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6875322Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6875408Z 28 CALL_METHOD 2 2022-11-23T01:30:35.6875495Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.6875569Z 32 RETURN_VALUE 2022-11-23T01:30:35.6875618Z 2022-11-23T01:30:35.6875623Z 2022-11-23T01:30:35.6875942Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2545 2022-11-23T01:30:35.6876155Z [2022-11-23 01:24:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6876457Z [2022-11-23 01:24:35,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable()] 2022-11-23T01:30:35.6876703Z [2022-11-23 01:24:35,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)] 2022-11-23T01:30:35.6876981Z [2022-11-23 01:24:35,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()] 2022-11-23T01:30:35.6877298Z [2022-11-23 01:24:35,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6877546Z [2022-11-23 01:24:35,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6877876Z [2022-11-23 01:24:35,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6878149Z [2022-11-23 01:24:35,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)] 2022-11-23T01:30:35.6878439Z [2022-11-23 01:24:35,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()] 2022-11-23T01:30:35.6878783Z [2022-11-23 01:24:35,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6879053Z [2022-11-23 01:24:35,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6879442Z [2022-11-23 01:24:35,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6879744Z [2022-11-23 01:24:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)] 2022-11-23T01:30:35.6880151Z [2022-11-23 01:24:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()] 2022-11-23T01:30:35.6880525Z [2022-11-23 01:24:35,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6880820Z [2022-11-23 01:24:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6881098Z [2022-11-23 01:24:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6881480Z [2022-11-23 01:24:35,275] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6881722Z [2022-11-23 01:24:35,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6881943Z [2022-11-23 01:24:35,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6882197Z [2022-11-23 01:24:35,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6882444Z [2022-11-23 01:24:35,286] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6882631Z [2022-11-23 01:24:35,286] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6882766Z __compiled_fn_184 .1568 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6882858Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6883003Z call_function, glu, aten.glu, (ex_0_, -1), {} 2022-11-23T01:30:35.6883104Z call_function, glu_1, aten.glu, (ex_0_, 1), {} 2022-11-23T01:30:35.6883191Z call_function, glu_2, aten.glu, (ex_0_, 2), {} 2022-11-23T01:30:35.6883298Z output, output, output, ((glu, glu_1, glu_2),), {} 2022-11-23T01:30:35.6883303Z 2022-11-23T01:30:35.6883628Z [2022-11-23 01:24:35,286] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6883720Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6883809Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6883896Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6883985Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6884071Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6884147Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6884224Z 12 RETURN_VALUE 2022-11-23T01:30:35.6884229Z 2022-11-23T01:30:35.6884288Z 2022-11-23T01:30:35.6884611Z [2022-11-23 01:24:35,286] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6884721Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_184) 2022-11-23T01:30:35.6884915Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6885003Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6885078Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6885152Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6885254Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6885353Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6885443Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6885519Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6885662Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6885751Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6885813Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6885912Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6885997Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6886073Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6886159Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.6886233Z 32 RETURN_VALUE 2022-11-23T01:30:35.6886238Z 2022-11-23T01:30:35.6886298Z 2022-11-23T01:30:35.6886471Z [2022-11-23 01:24:35,287] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6886541Z - 2022-11-23T01:30:35.6886659Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6886722Z { 2022-11-23T01:30:35.6886915Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6887101Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6887222Z 'obj_weakref': None 2022-11-23T01:30:35.6887435Z 'guarded_class': 2022-11-23T01:30:35.6887499Z } 2022-11-23T01:30:35.6887560Z 2022-11-23T01:30:35.6887630Z - 2022-11-23T01:30:35.6887754Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6887816Z { 2022-11-23T01:30:35.6887956Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6888049Z 'code': None, 2022-11-23T01:30:35.6888263Z 'obj_weakref': 2022-11-23T01:30:35.6888511Z 'guarded_class': 2022-11-23T01:30:35.6888575Z } 2022-11-23T01:30:35.6888637Z 2022-11-23T01:30:35.6888706Z - 2022-11-23T01:30:35.6888836Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6888886Z { 2022-11-23T01:30:35.6889018Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6889185Z 'code': ['___check_obj_id(model, 140534621980848)'], 2022-11-23T01:30:35.6889304Z 'obj_weakref': None 2022-11-23T01:30:35.6889532Z 'guarded_class': 2022-11-23T01:30:35.6889595Z } 2022-11-23T01:30:35.6889656Z 2022-11-23T01:30:35.6889712Z - 2022-11-23T01:30:35.6889831Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6889892Z { 2022-11-23T01:30:35.6890026Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6890240Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6890359Z 'obj_weakref': None 2022-11-23T01:30:35.6890579Z 'guarded_class': 2022-11-23T01:30:35.6890631Z } 2022-11-23T01:30:35.6890693Z 2022-11-23T01:30:35.6890763Z - 2022-11-23T01:30:35.6890891Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6890953Z { 2022-11-23T01:30:35.6891069Z 'guard_types': None, 2022-11-23T01:30:35.6891174Z 'code': None, 2022-11-23T01:30:35.6891276Z 'obj_weakref': None 2022-11-23T01:30:35.6891395Z 'guarded_class': None 2022-11-23T01:30:35.6891456Z } 2022-11-23T01:30:35.6891517Z 2022-11-23T01:30:35.6891777Z [2022-11-23 01:24:35,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183 2022-11-23T01:30:35.6892143Z [2022-11-23 01:24:36,814] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4g/c4g6pkjis337exuqcpi4bxd2jtiptrnqihifrgwexamlnjt7gq7d.py 2022-11-23T01:30:35.6892406Z [2022-11-23 01:24:36,815] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183 2022-11-23T01:30:35.6892438Z 2022-11-23T01:30:35.6892532Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6892587Z import torch 2022-11-23T01:30:35.6892656Z import random 2022-11-23T01:30:35.6892770Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6892889Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6892894Z 2022-11-23T01:30:35.6892970Z aten = torch.ops.aten 2022-11-23T01:30:35.6893101Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6893191Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6893196Z 2022-11-23T01:30:35.6893201Z 2022-11-23T01:30:35.6893333Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6893525Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6893702Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6893801Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6893898Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.6893990Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.6894051Z { 2022-11-23T01:30:35.6894148Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6894199Z { 2022-11-23T01:30:35.6894276Z #pragma omp for 2022-11-23T01:30:35.6894357Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.6894419Z { 2022-11-23T01:30:35.6894498Z #pragma GCC ivdep 2022-11-23T01:30:35.6894580Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.6894642Z { 2022-11-23T01:30:35.6894693Z { 2022-11-23T01:30:35.6894758Z { 2022-11-23T01:30:35.6894860Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.6894963Z auto tmp1 = in_ptr0[4 + i1 + (8*i0)]; 2022-11-23T01:30:35.6895124Z auto tmp2 = std::exp(-tmp1); 2022-11-23T01:30:35.6895218Z auto tmp3 = 1 / (1 + tmp2); 2022-11-23T01:30:35.6895311Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6895393Z out_ptr0[i1 + (4*i0)] = tmp4; 2022-11-23T01:30:35.6895460Z } 2022-11-23T01:30:35.6895523Z } 2022-11-23T01:30:35.6895585Z } 2022-11-23T01:30:35.6895645Z } 2022-11-23T01:30:35.6895720Z #pragma omp for 2022-11-23T01:30:35.6895800Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.6895849Z { 2022-11-23T01:30:35.6895932Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:35.6895994Z { 2022-11-23T01:30:35.6896134Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (1024*i0)); 2022-11-23T01:30:35.6896277Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 512 + (8*i1) + (1024*i0)); 2022-11-23T01:30:35.6896412Z auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp()); 2022-11-23T01:30:35.6896500Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:30:35.6896591Z tmp3.store(out_ptr1 + (8*i1) + (512*i0)); 2022-11-23T01:30:35.6896654Z } 2022-11-23T01:30:35.6896744Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.6896832Z for(long i1=512; i1<512; i1+=1) 2022-11-23T01:30:35.6896894Z { 2022-11-23T01:30:35.6896988Z auto tmp0 = in_ptr0[i1 + (1024*i0)]; 2022-11-23T01:30:35.6897087Z auto tmp1 = in_ptr0[512 + i1 + (1024*i0)]; 2022-11-23T01:30:35.6897212Z auto tmp2 = std::exp(-tmp1); 2022-11-23T01:30:35.6897298Z auto tmp3 = 1 / (1 + tmp2); 2022-11-23T01:30:35.6897382Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6897472Z out_ptr1[i1 + (512*i0)] = tmp4; 2022-11-23T01:30:35.6897537Z } 2022-11-23T01:30:35.6897599Z } 2022-11-23T01:30:35.6897674Z #pragma omp for 2022-11-23T01:30:35.6897743Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.6897832Z { 2022-11-23T01:30:35.6897915Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.6897976Z { 2022-11-23T01:30:35.6898114Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (64*i0)); 2022-11-23T01:30:35.6898255Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 32 + (8*i1) + (64*i0)); 2022-11-23T01:30:35.6898390Z auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp()); 2022-11-23T01:30:35.6898475Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:30:35.6898565Z tmp3.store(out_ptr2 + (8*i1) + (32*i0)); 2022-11-23T01:30:35.6898627Z } 2022-11-23T01:30:35.6898718Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.6898802Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:35.6898894Z { 2022-11-23T01:30:35.6898990Z auto tmp0 = in_ptr0[i1 + (64*i0)]; 2022-11-23T01:30:35.6899089Z auto tmp1 = in_ptr0[32 + i1 + (64*i0)]; 2022-11-23T01:30:35.6899216Z auto tmp2 = std::exp(-tmp1); 2022-11-23T01:30:35.6899303Z auto tmp3 = 1 / (1 + tmp2); 2022-11-23T01:30:35.6899388Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.6899479Z out_ptr2[i1 + (32*i0)] = tmp4; 2022-11-23T01:30:35.6899541Z } 2022-11-23T01:30:35.6899604Z } 2022-11-23T01:30:35.6899666Z } 2022-11-23T01:30:35.6899713Z } 2022-11-23T01:30:35.6899791Z ''') 2022-11-23T01:30:35.6899797Z 2022-11-23T01:30:35.6899801Z 2022-11-23T01:30:35.6899891Z async_compile.wait(globals()) 2022-11-23T01:30:35.6899966Z del async_compile 2022-11-23T01:30:35.6899970Z 2022-11-23T01:30:35.6900039Z def call(args): 2022-11-23T01:30:35.6900106Z arg0_1, = args 2022-11-23T01:30:35.6900178Z args.clear() 2022-11-23T01:30:35.6900382Z buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6900594Z buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6900801Z buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6900993Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.6901062Z del arg0_1 2022-11-23T01:30:35.6901145Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.6901149Z 2022-11-23T01:30:35.6901153Z 2022-11-23T01:30:35.6901228Z if __name__ == "__main__": 2022-11-23T01:30:35.6901342Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6901452Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6901668Z arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6901777Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6901782Z 2022-11-23T01:30:35.6901848Z ok (1.569s) 2022-11-23T01:30:35.6902167Z test_grid_sampler_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6902482Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6902694Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6902946Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6903223Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6903528Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6903899Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6904222Z [2022-11-23 01:24:36,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6904599Z [2022-11-23 01:24:36,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6904694Z 3055 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6904803Z 2 LOAD_METHOD 1 (grid_sampler_2d) 2022-11-23T01:30:35.6904893Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6904980Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6905097Z 8 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6905171Z 10 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6905325Z 12 LOAD_CONST 2 (True) 2022-11-23T01:30:35.6905411Z 14 CALL_METHOD 5 2022-11-23T01:30:35.6905415Z 2022-11-23T01:30:35.6905508Z 3056 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.6905614Z 18 LOAD_METHOD 1 (grid_sampler_2d) 2022-11-23T01:30:35.6905699Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:35.6905788Z 22 LOAD_FAST 1 (b) 2022-11-23T01:30:35.6905873Z 24 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6905945Z 26 LOAD_CONST 3 (1) 2022-11-23T01:30:35.6906035Z 28 LOAD_CONST 4 (False) 2022-11-23T01:30:35.6906121Z 30 CALL_METHOD 5 2022-11-23T01:30:35.6906126Z 2022-11-23T01:30:35.6906216Z 3054 32 BUILD_TUPLE 2 2022-11-23T01:30:35.6906290Z 34 RETURN_VALUE 2022-11-23T01:30:35.6906350Z 2022-11-23T01:30:35.6906354Z 2022-11-23T01:30:35.6906670Z [2022-11-23 01:24:36,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3055 2022-11-23T01:30:35.6906883Z [2022-11-23 01:24:36,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.6907190Z [2022-11-23 01:24:36,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable()] 2022-11-23T01:30:35.6907453Z [2022-11-23 01:24:36,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)] 2022-11-23T01:30:35.6907747Z [2022-11-23 01:24:36,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()] 2022-11-23T01:30:35.6908069Z [2022-11-23 01:24:36,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6908433Z [2022-11-23 01:24:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6908838Z [2022-11-23 01:24:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6909282Z [2022-11-23 01:24:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:35.6909594Z [2022-11-23 01:24:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3056 2022-11-23T01:30:35.6909840Z [2022-11-23 01:24:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.6910209Z [2022-11-23 01:24:36,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6910506Z [2022-11-23 01:24:36,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)] 2022-11-23T01:30:35.6910824Z [2022-11-23 01:24:36,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()] 2022-11-23T01:30:35.6911163Z [2022-11-23 01:24:36,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6911550Z [2022-11-23 01:24:36,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6912014Z [2022-11-23 01:24:36,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.6912487Z [2022-11-23 01:24:36,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:35.6912796Z [2022-11-23 01:24:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3054 2022-11-23T01:30:35.6913064Z [2022-11-23 01:24:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6913309Z [2022-11-23 01:24:36,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6913690Z [2022-11-23 01:24:36,959] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6913932Z [2022-11-23 01:24:36,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6914161Z [2022-11-23 01:24:36,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6914416Z [2022-11-23 01:24:36,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6914649Z [2022-11-23 01:24:37,066] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6914836Z [2022-11-23 01:24:37,066] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6914968Z __compiled_fn_185 .1574 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6915059Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6915146Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.6915293Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {} 2022-11-23T01:30:35.6915437Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {} 2022-11-23T01:30:35.6915567Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {} 2022-11-23T01:30:35.6915572Z 2022-11-23T01:30:35.6915892Z [2022-11-23 01:24:37,067] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6915972Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6916064Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6916150Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6916240Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6916326Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6916412Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6916514Z 12 RETURN_VALUE 2022-11-23T01:30:35.6916519Z 2022-11-23T01:30:35.6916567Z 2022-11-23T01:30:35.6916890Z [2022-11-23 01:24:37,067] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6916996Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_185) 2022-11-23T01:30:35.6917085Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6917174Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6917249Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6917337Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6917423Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6917484Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.6917570Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.6917700Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6917802Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6917892Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6917967Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6918063Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6918138Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6918211Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6918296Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.6918369Z 32 RETURN_VALUE 2022-11-23T01:30:35.6918374Z 2022-11-23T01:30:35.6918433Z 2022-11-23T01:30:35.6918615Z [2022-11-23 01:24:37,068] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6918684Z - 2022-11-23T01:30:35.6918790Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6918854Z { 2022-11-23T01:30:35.6918995Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6919181Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.6919301Z 'obj_weakref': None 2022-11-23T01:30:35.6919526Z 'guarded_class': 2022-11-23T01:30:35.6919589Z } 2022-11-23T01:30:35.6919639Z 2022-11-23T01:30:35.6919707Z - 2022-11-23T01:30:35.6919831Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6919893Z { 2022-11-23T01:30:35.6920123Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6920233Z 'code': None, 2022-11-23T01:30:35.6920444Z 'obj_weakref': 2022-11-23T01:30:35.6920684Z 'guarded_class': 2022-11-23T01:30:35.6920748Z } 2022-11-23T01:30:35.6920813Z 2022-11-23T01:30:35.6920884Z - 2022-11-23T01:30:35.6921005Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.6921067Z { 2022-11-23T01:30:35.6921209Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6921301Z 'code': None, 2022-11-23T01:30:35.6921508Z 'obj_weakref': 2022-11-23T01:30:35.6921755Z 'guarded_class': 2022-11-23T01:30:35.6921818Z } 2022-11-23T01:30:35.6921881Z 2022-11-23T01:30:35.6921951Z - 2022-11-23T01:30:35.6922079Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6922129Z { 2022-11-23T01:30:35.6922262Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6922428Z 'code': ['___check_obj_id(model, 140534431368960)'], 2022-11-23T01:30:35.6922545Z 'obj_weakref': None 2022-11-23T01:30:35.6922780Z 'guarded_class': 2022-11-23T01:30:35.6922843Z } 2022-11-23T01:30:35.6922940Z 2022-11-23T01:30:35.6922997Z - 2022-11-23T01:30:35.6923118Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6923224Z { 2022-11-23T01:30:35.6923357Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6923570Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6923688Z 'obj_weakref': None 2022-11-23T01:30:35.6923909Z 'guarded_class': 2022-11-23T01:30:35.6923960Z } 2022-11-23T01:30:35.6924023Z 2022-11-23T01:30:35.6924090Z - 2022-11-23T01:30:35.6924219Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.6924281Z { 2022-11-23T01:30:35.6924429Z 'guard_types': None, 2022-11-23T01:30:35.6924535Z 'code': None, 2022-11-23T01:30:35.6924640Z 'obj_weakref': None 2022-11-23T01:30:35.6924848Z 'guarded_class': None 2022-11-23T01:30:35.6924911Z } 2022-11-23T01:30:35.6924973Z 2022-11-23T01:30:35.6925236Z [2022-11-23 01:24:37,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184 2022-11-23T01:30:35.6925442Z [2022-11-23 01:24:37,981] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2') 2022-11-23T01:30:35.6925642Z [2022-11-23 01:24:37,981] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3') 2022-11-23T01:30:35.6925825Z [2022-11-23 01:24:37,981] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1') 2022-11-23T01:30:35.6926020Z [2022-11-23 01:24:37,981] torch._inductor.scheduler: [DEBUG] remove_buffer('buf7') 2022-11-23T01:30:35.6926221Z [2022-11-23 01:24:37,981] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4') 2022-11-23T01:30:35.6926229Z 2022-11-23T01:30:35.6926322Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6926389Z import torch 2022-11-23T01:30:35.6926459Z import random 2022-11-23T01:30:35.6926574Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6926695Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6926700Z 2022-11-23T01:30:35.6926765Z aten = torch.ops.aten 2022-11-23T01:30:35.6926898Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6926989Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6926994Z 2022-11-23T01:30:35.6926999Z 2022-11-23T01:30:35.6927135Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6927341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6927457Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.6927559Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.6927659Z float* __restrict__ in_out_ptr2, 2022-11-23T01:30:35.6927749Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6927853Z const float* __restrict__ in_ptr1) 2022-11-23T01:30:35.6927912Z { 2022-11-23T01:30:35.6928009Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6928070Z { 2022-11-23T01:30:35.6928145Z #pragma omp for 2022-11-23T01:30:35.6928226Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.6928276Z { 2022-11-23T01:30:35.6928354Z #pragma GCC ivdep 2022-11-23T01:30:35.6928434Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:35.6928497Z { 2022-11-23T01:30:35.6928577Z #pragma GCC ivdep 2022-11-23T01:30:35.6928669Z for(long i2=0; i2<123904; i2+=1) 2022-11-23T01:30:35.6928732Z { 2022-11-23T01:30:35.6928786Z { 2022-11-23T01:30:35.6928853Z { 2022-11-23T01:30:35.6928961Z auto tmp2 = in_ptr0[(2*i2) + (247808*i0)]; 2022-11-23T01:30:35.6929071Z auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)]; 2022-11-23T01:30:35.6929224Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:35.6929332Z auto tmp1 = static_cast(i1); 2022-11-23T01:30:35.6929441Z auto tmp3 = static_cast(175.5); 2022-11-23T01:30:35.6929523Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:35.6929614Z auto tmp5 = tmp4 + tmp3; 2022-11-23T01:30:35.6929722Z auto tmp6 = std::floor(tmp5); 2022-11-23T01:30:35.6929826Z auto tmp7 = static_cast(0); 2022-11-23T01:30:35.6929922Z auto tmp8 = tmp6 >= tmp7; 2022-11-23T01:30:35.6930028Z auto tmp9 = static_cast(352); 2022-11-23T01:30:35.6930121Z auto tmp10 = tmp6 < tmp9; 2022-11-23T01:30:35.6930264Z auto tmp12 = tmp11 * tmp3; 2022-11-23T01:30:35.6930347Z auto tmp13 = tmp12 + tmp3; 2022-11-23T01:30:35.6930454Z auto tmp14 = std::floor(tmp13); 2022-11-23T01:30:35.6930551Z auto tmp15 = tmp14 >= tmp7; 2022-11-23T01:30:35.6930645Z auto tmp16 = tmp14 < tmp9; 2022-11-23T01:30:35.6930742Z auto tmp17 = tmp15 && tmp16; 2022-11-23T01:30:35.6930837Z auto tmp18 = tmp10 && tmp17; 2022-11-23T01:30:35.6930930Z auto tmp19 = tmp8 && tmp18; 2022-11-23T01:30:35.6931027Z auto tmp20 = static_cast(tmp14); 2022-11-23T01:30:35.6931130Z auto tmp21 = static_cast(0); 2022-11-23T01:30:35.6931232Z auto tmp22 = tmp19 ? tmp20 : tmp21; 2022-11-23T01:30:35.6931345Z auto tmp23 = static_cast(tmp6); 2022-11-23T01:30:35.6931446Z auto tmp24 = tmp19 ? tmp23 : tmp21; 2022-11-23T01:30:35.6931580Z auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6931684Z auto tmp26 = static_cast(1); 2022-11-23T01:30:35.6931779Z auto tmp27 = tmp6 + tmp26; 2022-11-23T01:30:35.6931916Z auto tmp28 = tmp27 - tmp5; 2022-11-23T01:30:35.6932010Z auto tmp29 = tmp14 + tmp26; 2022-11-23T01:30:35.6932156Z auto tmp30 = tmp29 - tmp13; 2022-11-23T01:30:35.6932250Z auto tmp31 = tmp28 * tmp30; 2022-11-23T01:30:35.6932354Z auto tmp32 = tmp19 ? tmp31 : tmp7; 2022-11-23T01:30:35.6932446Z auto tmp33 = tmp25 * tmp32; 2022-11-23T01:30:35.6932539Z auto tmp34 = tmp27 >= tmp7; 2022-11-23T01:30:35.6932622Z auto tmp35 = tmp27 < tmp9; 2022-11-23T01:30:35.6932720Z auto tmp36 = tmp35 && tmp17; 2022-11-23T01:30:35.6932812Z auto tmp37 = tmp34 && tmp36; 2022-11-23T01:30:35.6932917Z auto tmp38 = tmp37 ? tmp20 : tmp21; 2022-11-23T01:30:35.6933026Z auto tmp39 = static_cast(tmp27); 2022-11-23T01:30:35.6933126Z auto tmp40 = tmp37 ? tmp39 : tmp21; 2022-11-23T01:30:35.6933254Z auto tmp41 = in_ptr1[tmp40 + (352*tmp38) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6933399Z auto tmp42 = tmp5 - tmp6; 2022-11-23T01:30:35.6933481Z auto tmp43 = tmp42 * tmp30; 2022-11-23T01:30:35.6933584Z auto tmp44 = tmp37 ? tmp43 : tmp7; 2022-11-23T01:30:35.6933676Z auto tmp45 = tmp41 * tmp44; 2022-11-23T01:30:35.6933772Z auto tmp46 = tmp29 >= tmp7; 2022-11-23T01:30:35.6933896Z auto tmp47 = tmp29 < tmp9; 2022-11-23T01:30:35.6933992Z auto tmp48 = tmp46 && tmp47; 2022-11-23T01:30:35.6934086Z auto tmp49 = tmp10 && tmp48; 2022-11-23T01:30:35.6934165Z auto tmp50 = tmp8 && tmp49; 2022-11-23T01:30:35.6934272Z auto tmp51 = static_cast(tmp29); 2022-11-23T01:30:35.6934371Z auto tmp52 = tmp50 ? tmp51 : tmp21; 2022-11-23T01:30:35.6934472Z auto tmp53 = tmp50 ? tmp23 : tmp21; 2022-11-23T01:30:35.6934602Z auto tmp54 = in_ptr1[tmp53 + (352*tmp52) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6934746Z auto tmp55 = tmp13 - tmp14; 2022-11-23T01:30:35.6934839Z auto tmp56 = tmp28 * tmp55; 2022-11-23T01:30:35.6934968Z auto tmp57 = tmp50 ? tmp56 : tmp7; 2022-11-23T01:30:35.6935048Z auto tmp58 = tmp54 * tmp57; 2022-11-23T01:30:35.6935144Z auto tmp59 = tmp35 && tmp48; 2022-11-23T01:30:35.6935241Z auto tmp60 = tmp34 && tmp59; 2022-11-23T01:30:35.6935343Z auto tmp61 = tmp60 ? tmp51 : tmp21; 2022-11-23T01:30:35.6935446Z auto tmp62 = tmp60 ? tmp39 : tmp21; 2022-11-23T01:30:35.6935574Z auto tmp63 = in_ptr1[tmp62 + (352*tmp61) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6935667Z auto tmp64 = tmp33 + tmp45; 2022-11-23T01:30:35.6935760Z auto tmp65 = tmp64 + tmp58; 2022-11-23T01:30:35.6935841Z auto tmp66 = tmp42 * tmp55; 2022-11-23T01:30:35.6935942Z auto tmp67 = tmp60 ? tmp66 : tmp7; 2022-11-23T01:30:35.6936037Z auto tmp68 = tmp63 * tmp67; 2022-11-23T01:30:35.6936127Z auto tmp69 = tmp65 + tmp68; 2022-11-23T01:30:35.6936238Z auto tmp70 = static_cast(176.0); 2022-11-23T01:30:35.6936331Z auto tmp71 = tmp2 * tmp70; 2022-11-23T01:30:35.6936423Z auto tmp72 = tmp71 + tmp3; 2022-11-23T01:30:35.6936519Z auto tmp73 = static_cast(0.0); 2022-11-23T01:30:35.6936627Z auto tmp74 = std::max(tmp72, tmp73); 2022-11-23T01:30:35.6936735Z auto tmp75 = static_cast(351.0); 2022-11-23T01:30:35.6936847Z auto tmp76 = std::min(tmp74, tmp75); 2022-11-23T01:30:35.6936950Z auto tmp77 = std::floor(tmp76); 2022-11-23T01:30:35.6937043Z auto tmp78 = tmp77 >= tmp7; 2022-11-23T01:30:35.6937140Z auto tmp79 = tmp77 < tmp9; 2022-11-23T01:30:35.6937232Z auto tmp80 = tmp11 * tmp70; 2022-11-23T01:30:35.6937316Z auto tmp81 = tmp80 + tmp3; 2022-11-23T01:30:35.6937424Z auto tmp82 = std::max(tmp81, tmp73); 2022-11-23T01:30:35.6937533Z auto tmp83 = std::min(tmp82, tmp75); 2022-11-23T01:30:35.6937638Z auto tmp84 = std::floor(tmp83); 2022-11-23T01:30:35.6937732Z auto tmp85 = tmp84 >= tmp7; 2022-11-23T01:30:35.6937825Z auto tmp86 = tmp84 < tmp9; 2022-11-23T01:30:35.6937921Z auto tmp87 = tmp85 && tmp86; 2022-11-23T01:30:35.6938016Z auto tmp88 = tmp79 && tmp87; 2022-11-23T01:30:35.6938098Z auto tmp89 = tmp78 && tmp88; 2022-11-23T01:30:35.6938208Z auto tmp90 = static_cast(tmp84); 2022-11-23T01:30:35.6938313Z auto tmp91 = tmp89 ? tmp90 : tmp21; 2022-11-23T01:30:35.6938421Z auto tmp92 = static_cast(tmp77); 2022-11-23T01:30:35.6938551Z auto tmp93 = tmp89 ? tmp92 : tmp21; 2022-11-23T01:30:35.6938682Z auto tmp94 = in_ptr1[tmp93 + (352*tmp91) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6938778Z auto tmp95 = tmp77 + tmp26; 2022-11-23T01:30:35.6938859Z auto tmp96 = tmp95 >= tmp7; 2022-11-23T01:30:35.6938952Z auto tmp97 = tmp95 < tmp9; 2022-11-23T01:30:35.6939046Z auto tmp98 = tmp97 && tmp87; 2022-11-23T01:30:35.6939138Z auto tmp99 = tmp96 && tmp98; 2022-11-23T01:30:35.6939244Z auto tmp100 = tmp99 ? tmp90 : tmp21; 2022-11-23T01:30:35.6939352Z auto tmp101 = static_cast(tmp95); 2022-11-23T01:30:35.6939484Z auto tmp102 = tmp99 ? tmp101 : tmp21; 2022-11-23T01:30:35.6939617Z auto tmp103 = in_ptr1[tmp102 + (352*tmp100) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6939754Z auto tmp104 = tmp95 - tmp76; 2022-11-23T01:30:35.6939851Z auto tmp105 = tmp84 + tmp26; 2022-11-23T01:30:35.6940000Z auto tmp106 = tmp105 - tmp83; 2022-11-23T01:30:35.6940101Z auto tmp107 = tmp104 * tmp106; 2022-11-23T01:30:35.6940206Z auto tmp108 = tmp89 ? tmp107 : tmp7; 2022-11-23T01:30:35.6940303Z auto tmp109 = tmp94 * tmp108; 2022-11-23T01:30:35.6940447Z auto tmp110 = tmp76 - tmp77; 2022-11-23T01:30:35.6940545Z auto tmp111 = tmp110 * tmp106; 2022-11-23T01:30:35.6940636Z auto tmp112 = tmp99 ? tmp111 : tmp7; 2022-11-23T01:30:35.6940734Z auto tmp113 = tmp103 * tmp112; 2022-11-23T01:30:35.6940830Z auto tmp114 = tmp109 + tmp113; 2022-11-23T01:30:35.6940927Z auto tmp115 = tmp105 >= tmp7; 2022-11-23T01:30:35.6941024Z auto tmp116 = tmp105 < tmp9; 2022-11-23T01:30:35.6941127Z auto tmp117 = tmp115 && tmp116; 2022-11-23T01:30:35.6941223Z auto tmp118 = tmp79 && tmp117; 2022-11-23T01:30:35.6941306Z auto tmp119 = tmp78 && tmp118; 2022-11-23T01:30:35.6941419Z auto tmp120 = static_cast(tmp105); 2022-11-23T01:30:35.6941523Z auto tmp121 = tmp119 ? tmp120 : tmp21; 2022-11-23T01:30:35.6941628Z auto tmp122 = tmp119 ? tmp92 : tmp21; 2022-11-23T01:30:35.6941759Z auto tmp123 = in_ptr1[tmp122 + (352*tmp121) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6941859Z auto tmp124 = tmp97 && tmp117; 2022-11-23T01:30:35.6941957Z auto tmp125 = tmp96 && tmp124; 2022-11-23T01:30:35.6942061Z auto tmp126 = tmp125 ? tmp120 : tmp21; 2022-11-23T01:30:35.6942148Z auto tmp127 = tmp125 ? tmp101 : tmp21; 2022-11-23T01:30:35.6942276Z auto tmp128 = in_ptr1[tmp127 + (352*tmp126) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:30:35.6942425Z auto tmp129 = tmp83 - tmp84; 2022-11-23T01:30:35.6942521Z auto tmp130 = tmp104 * tmp129; 2022-11-23T01:30:35.6942625Z auto tmp131 = tmp119 ? tmp130 : tmp7; 2022-11-23T01:30:35.6942720Z auto tmp132 = tmp123 * tmp131; 2022-11-23T01:30:35.6942817Z auto tmp133 = tmp114 + tmp132; 2022-11-23T01:30:35.6942909Z auto tmp134 = tmp110 * tmp129; 2022-11-23T01:30:35.6943001Z auto tmp135 = tmp125 ? tmp134 : tmp7; 2022-11-23T01:30:35.6943122Z auto tmp136 = tmp128 * tmp135; 2022-11-23T01:30:35.6943218Z auto tmp137 = tmp133 + tmp136; 2022-11-23T01:30:35.6943328Z in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp69; 2022-11-23T01:30:35.6943439Z in_out_ptr2[i2 + (123904*i1) + (371712*i0)] = tmp137; 2022-11-23T01:30:35.6943508Z } 2022-11-23T01:30:35.6943575Z } 2022-11-23T01:30:35.6943627Z } 2022-11-23T01:30:35.6943692Z } 2022-11-23T01:30:35.6943753Z } 2022-11-23T01:30:35.6943815Z } 2022-11-23T01:30:35.6943875Z } 2022-11-23T01:30:35.6943952Z ''') 2022-11-23T01:30:35.6943956Z 2022-11-23T01:30:35.6943961Z 2022-11-23T01:30:35.6944052Z async_compile.wait(globals()) 2022-11-23T01:30:35.6944142Z del async_compile 2022-11-23T01:30:35.6944146Z 2022-11-23T01:30:35.6944217Z def call(args): 2022-11-23T01:30:35.6944291Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.6944362Z args.clear() 2022-11-23T01:30:35.6944592Z buf0 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6944676Z buf10 = buf0; del buf0 # reuse 2022-11-23T01:30:35.6944897Z buf5 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6944969Z buf6 = buf5; del buf5 # reuse 2022-11-23T01:30:35.6945190Z buf8 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6945274Z buf9 = buf8; del buf8 # reuse 2022-11-23T01:30:35.6945483Z kernel_cpp_0(c_void_p(buf10.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:30:35.6945552Z del arg0_1 2022-11-23T01:30:35.6945620Z del arg1_1 2022-11-23T01:30:35.6945697Z return (buf10, buf9, ) 2022-11-23T01:30:35.6945701Z 2022-11-23T01:30:35.6945705Z 2022-11-23T01:30:35.6945779Z if __name__ == "__main__": 2022-11-23T01:30:35.6945883Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6946005Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6946231Z arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6946453Z arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6946566Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.6946936Z [2022-11-23 01:24:39,485] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pp/cppo5kx4s7li37srus3eqretyq7g3nbezso4yw2joprziqgi3b7n.py 2022-11-23T01:30:35.6947200Z [2022-11-23 01:24:39,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184 2022-11-23T01:30:35.6947208Z 2022-11-23T01:30:35.6947274Z ok (2.715s) 2022-11-23T01:30:35.6947586Z test_hardsigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:24:39,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6947891Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6948106Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6948356Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6948633Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6948950Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6949326Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6949651Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6950022Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6950115Z 2621 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.6950218Z 2 LOAD_METHOD 1 (hardsigmoid) 2022-11-23T01:30:35.6950294Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6950382Z 6 CALL_METHOD 1 2022-11-23T01:30:35.6950471Z 8 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.6950603Z 10 LOAD_METHOD 1 (hardsigmoid) 2022-11-23T01:30:35.6950689Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6950777Z 14 LOAD_CONST 1 (3) 2022-11-23T01:30:35.6950849Z 16 BINARY_ADD 2022-11-23T01:30:35.6950923Z 18 CALL_METHOD 1 2022-11-23T01:30:35.6951010Z 20 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.6951109Z 22 LOAD_METHOD 1 (hardsigmoid) 2022-11-23T01:30:35.6951195Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6951282Z 26 LOAD_CONST 1 (3) 2022-11-23T01:30:35.6951362Z 28 BINARY_SUBTRACT 2022-11-23T01:30:35.6951449Z 30 CALL_METHOD 1 2022-11-23T01:30:35.6951522Z 32 BUILD_TUPLE 3 2022-11-23T01:30:35.6951595Z 34 RETURN_VALUE 2022-11-23T01:30:35.6951654Z 2022-11-23T01:30:35.6951659Z 2022-11-23T01:30:35.6951978Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2621 2022-11-23T01:30:35.6952192Z [2022-11-23 01:24:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:30:35.6952607Z [2022-11-23 01:24:39,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable()] 2022-11-23T01:30:35.6952901Z [2022-11-23 01:24:39,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.6953230Z [2022-11-23 01:24:39,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6953467Z [2022-11-23 01:24:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:30:35.6953915Z [2022-11-23 01:24:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6954237Z [2022-11-23 01:24:39,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6954578Z [2022-11-23 01:24:39,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6954975Z [2022-11-23 01:24:39,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6955331Z [2022-11-23 01:24:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6955628Z [2022-11-23 01:24:39,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6956105Z [2022-11-23 01:24:39,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6956452Z [2022-11-23 01:24:39,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6956832Z [2022-11-23 01:24:39,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6957264Z [2022-11-23 01:24:39,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6957684Z [2022-11-23 01:24:39,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6957977Z [2022-11-23 01:24:39,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6958221Z [2022-11-23 01:24:39,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6958597Z [2022-11-23 01:24:39,549] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6958841Z [2022-11-23 01:24:39,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6959064Z [2022-11-23 01:24:39,549] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6959318Z [2022-11-23 01:24:39,550] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6959564Z [2022-11-23 01:24:39,561] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6959753Z [2022-11-23 01:24:39,561] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6959886Z __compiled_fn_186 .1580 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6959974Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6960216Z call_function, hardsigmoid, , (ex_0_,), {} 2022-11-23T01:30:35.6960389Z call_function, add, , (ex_0_, 3), {} 2022-11-23T01:30:35.6960523Z call_function, hardsigmoid_1, , (add,), {} 2022-11-23T01:30:35.6960697Z call_function, sub, , (ex_0_, 3), {} 2022-11-23T01:30:35.6960842Z call_function, hardsigmoid_2, , (sub,), {} 2022-11-23T01:30:35.6960983Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {} 2022-11-23T01:30:35.6960990Z 2022-11-23T01:30:35.6961311Z [2022-11-23 01:24:39,562] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6961403Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6961491Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6961577Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6961655Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6961739Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6961826Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6961904Z 12 RETURN_VALUE 2022-11-23T01:30:35.6961909Z 2022-11-23T01:30:35.6961968Z 2022-11-23T01:30:35.6962328Z [2022-11-23 01:24:39,562] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6962434Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_186) 2022-11-23T01:30:35.6962522Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6962597Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6962671Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6962758Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6962859Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6962959Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6963047Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6963121Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6963207Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6963336Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6963410Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6963510Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6963596Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6963669Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6963755Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.6963816Z 32 RETURN_VALUE 2022-11-23T01:30:35.6963833Z 2022-11-23T01:30:35.6963881Z 2022-11-23T01:30:35.6964063Z [2022-11-23 01:24:39,563] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6964134Z - 2022-11-23T01:30:35.6964252Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6964316Z { 2022-11-23T01:30:35.6964455Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6964626Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6964832Z 'obj_weakref': None 2022-11-23T01:30:35.6965058Z 'guarded_class': 2022-11-23T01:30:35.6965123Z } 2022-11-23T01:30:35.6965186Z 2022-11-23T01:30:35.6965255Z - 2022-11-23T01:30:35.6965378Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6965428Z { 2022-11-23T01:30:35.6965570Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6965675Z 'code': None, 2022-11-23T01:30:35.6965885Z 'obj_weakref': 2022-11-23T01:30:35.6966136Z 'guarded_class': 2022-11-23T01:30:35.6966199Z } 2022-11-23T01:30:35.6966261Z 2022-11-23T01:30:35.6966318Z - 2022-11-23T01:30:35.6966448Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6966513Z { 2022-11-23T01:30:35.6966645Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6966811Z 'code': ['___check_obj_id(model, 140534432993856)'], 2022-11-23T01:30:35.6966932Z 'obj_weakref': None 2022-11-23T01:30:35.6967162Z 'guarded_class': 2022-11-23T01:30:35.6967225Z } 2022-11-23T01:30:35.6967275Z 2022-11-23T01:30:35.6967345Z - 2022-11-23T01:30:35.6967464Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6967526Z { 2022-11-23T01:30:35.6967660Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6967873Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6967977Z 'obj_weakref': None 2022-11-23T01:30:35.6968196Z 'guarded_class': 2022-11-23T01:30:35.6968260Z } 2022-11-23T01:30:35.6968322Z 2022-11-23T01:30:35.6968391Z - 2022-11-23T01:30:35.6968514Z global 'F' FUNCTION_MATCH 2022-11-23T01:30:35.6968577Z { 2022-11-23T01:30:35.6968727Z 'guard_types': None, 2022-11-23T01:30:35.6968834Z 'code': None, 2022-11-23T01:30:35.6968951Z 'obj_weakref': None 2022-11-23T01:30:35.6969071Z 'guarded_class': None 2022-11-23T01:30:35.6969134Z } 2022-11-23T01:30:35.6969195Z 2022-11-23T01:30:35.6969453Z [2022-11-23 01:24:39,584] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185 2022-11-23T01:30:35.6969814Z [2022-11-23 01:24:41,055] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2k/c2kzbcdzf7igy72ucqgrrmemdtpooqfqopie5mcsddy4hc4q7nut.py 2022-11-23T01:30:35.6970079Z [2022-11-23 01:24:41,055] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185 2022-11-23T01:30:35.6970131Z 2022-11-23T01:30:35.6970224Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.6970292Z import torch 2022-11-23T01:30:35.6970360Z import random 2022-11-23T01:30:35.6970474Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.6970593Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.6970598Z 2022-11-23T01:30:35.6970675Z aten = torch.ops.aten 2022-11-23T01:30:35.6970795Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.6970886Z async_compile = AsyncCompile() 2022-11-23T01:30:35.6970891Z 2022-11-23T01:30:35.6970896Z 2022-11-23T01:30:35.6971030Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.6971233Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.6971348Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.6971446Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.6971543Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.6971639Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.6971687Z { 2022-11-23T01:30:35.6971787Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.6971848Z { 2022-11-23T01:30:35.6971924Z #pragma omp for 2022-11-23T01:30:35.6972005Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.6972067Z { 2022-11-23T01:30:35.6972204Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.6972321Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:35.6972406Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6972538Z auto tmp3 = at::vec::Vectorized(static_cast(0.0)); 2022-11-23T01:30:35.6972647Z auto tmp4 = at::vec::maximum(tmp2, tmp3); 2022-11-23T01:30:35.6972777Z auto tmp5 = at::vec::Vectorized(static_cast(6.0)); 2022-11-23T01:30:35.6972884Z auto tmp6 = at::vec::minimum(tmp4, tmp5); 2022-11-23T01:30:35.6973012Z auto tmp7 = at::vec::Vectorized(static_cast(6)); 2022-11-23T01:30:35.6973099Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:30:35.6973169Z auto tmp9 = tmp2 + tmp1; 2022-11-23T01:30:35.6973274Z auto tmp10 = at::vec::maximum(tmp9, tmp3); 2022-11-23T01:30:35.6973381Z auto tmp11 = at::vec::minimum(tmp10, tmp5); 2022-11-23T01:30:35.6973466Z auto tmp12 = tmp11 / tmp7; 2022-11-23T01:30:35.6973590Z auto tmp13 = tmp0 - tmp1; 2022-11-23T01:30:35.6973672Z auto tmp14 = tmp13 + tmp1; 2022-11-23T01:30:35.6973779Z auto tmp15 = at::vec::maximum(tmp14, tmp3); 2022-11-23T01:30:35.6973883Z auto tmp16 = at::vec::minimum(tmp15, tmp5); 2022-11-23T01:30:35.6973954Z auto tmp17 = tmp16 / tmp7; 2022-11-23T01:30:35.6974044Z tmp8.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.6974134Z tmp12.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.6974227Z tmp17.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.6974288Z } 2022-11-23T01:30:35.6974381Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.6974488Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.6974539Z { 2022-11-23T01:30:35.6974625Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.6974721Z auto tmp1 = static_cast(3); 2022-11-23T01:30:35.6974804Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.6974903Z auto tmp3 = static_cast(0.0); 2022-11-23T01:30:35.6975000Z auto tmp4 = std::max(tmp2, tmp3); 2022-11-23T01:30:35.6975097Z auto tmp5 = static_cast(6.0); 2022-11-23T01:30:35.6975180Z auto tmp6 = std::min(tmp4, tmp5); 2022-11-23T01:30:35.6975275Z auto tmp7 = static_cast(6); 2022-11-23T01:30:35.6975356Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:30:35.6975436Z auto tmp9 = tmp2 + tmp1; 2022-11-23T01:30:35.6975563Z auto tmp10 = std::max(tmp9, tmp3); 2022-11-23T01:30:35.6975660Z auto tmp11 = std::min(tmp10, tmp5); 2022-11-23T01:30:35.6975746Z auto tmp12 = tmp11 / tmp7; 2022-11-23T01:30:35.6975860Z auto tmp13 = tmp0 - tmp1; 2022-11-23T01:30:35.6975943Z auto tmp14 = tmp13 + tmp1; 2022-11-23T01:30:35.6976040Z auto tmp15 = std::max(tmp14, tmp3); 2022-11-23T01:30:35.6976134Z auto tmp16 = std::min(tmp15, tmp5); 2022-11-23T01:30:35.6976216Z auto tmp17 = tmp16 / tmp7; 2022-11-23T01:30:35.6976296Z out_ptr0[i0] = tmp8; 2022-11-23T01:30:35.6976377Z out_ptr1[i0] = tmp12; 2022-11-23T01:30:35.6976442Z out_ptr2[i0] = tmp17; 2022-11-23T01:30:35.6976503Z } 2022-11-23T01:30:35.6976562Z } 2022-11-23T01:30:35.6976622Z } 2022-11-23T01:30:35.6976699Z ''') 2022-11-23T01:30:35.6976704Z 2022-11-23T01:30:35.6976709Z 2022-11-23T01:30:35.6976796Z async_compile.wait(globals()) 2022-11-23T01:30:35.6976872Z del async_compile 2022-11-23T01:30:35.6976877Z 2022-11-23T01:30:35.6976948Z def call(args): 2022-11-23T01:30:35.6977004Z arg0_1, = args 2022-11-23T01:30:35.6977077Z args.clear() 2022-11-23T01:30:35.6977270Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6977461Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6977649Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6977836Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.6977904Z del arg0_1 2022-11-23T01:30:35.6977974Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.6977991Z 2022-11-23T01:30:35.6977996Z 2022-11-23T01:30:35.6978058Z if __name__ == "__main__": 2022-11-23T01:30:35.6978172Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.6978296Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.6978493Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.6978602Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.6978607Z 2022-11-23T01:30:35.6978671Z ok (1.542s) 2022-11-23T01:30:35.6978981Z test_hardswish_cpu (__main__.CpuTests) ... [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.6979294Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.6979501Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.6979756Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.6980031Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.6980380Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6980726Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6981046Z [2022-11-23 01:24:41,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.6981415Z [2022-11-23 01:24:41,093] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.6981509Z 2630 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.6981608Z 2 LOAD_METHOD 1 (hardswish) 2022-11-23T01:30:35.6981716Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6981804Z 6 CALL_METHOD 1 2022-11-23T01:30:35.6981893Z 8 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.6981995Z 10 LOAD_METHOD 1 (hardswish) 2022-11-23T01:30:35.6982085Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6982172Z 14 LOAD_CONST 1 (3) 2022-11-23T01:30:35.6982244Z 16 BINARY_ADD 2022-11-23T01:30:35.6982330Z 18 CALL_METHOD 1 2022-11-23T01:30:35.6982406Z 20 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.6982502Z 22 LOAD_METHOD 1 (hardswish) 2022-11-23T01:30:35.6982588Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:35.6982675Z 26 LOAD_CONST 1 (3) 2022-11-23T01:30:35.6982754Z 28 BINARY_SUBTRACT 2022-11-23T01:30:35.6982838Z 30 CALL_METHOD 1 2022-11-23T01:30:35.6982926Z 32 BUILD_TUPLE 3 2022-11-23T01:30:35.6982989Z 34 RETURN_VALUE 2022-11-23T01:30:35.6983049Z 2022-11-23T01:30:35.6983054Z 2022-11-23T01:30:35.6983373Z [2022-11-23 01:24:41,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2630 2022-11-23T01:30:35.6983586Z [2022-11-23 01:24:41,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:30:35.6984002Z [2022-11-23 01:24:41,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable()] 2022-11-23T01:30:35.6984293Z [2022-11-23 01:24:41,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.6984621Z [2022-11-23 01:24:41,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6984863Z [2022-11-23 01:24:41,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:30:35.6985303Z [2022-11-23 01:24:41,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6985622Z [2022-11-23 01:24:41,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6985956Z [2022-11-23 01:24:41,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6986350Z [2022-11-23 01:24:41,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6986770Z [2022-11-23 01:24:41,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6987040Z [2022-11-23 01:24:41,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6987506Z [2022-11-23 01:24:41,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6987855Z [2022-11-23 01:24:41,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.6988234Z [2022-11-23 01:24:41,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6988697Z [2022-11-23 01:24:41,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.6989078Z [2022-11-23 01:24:41,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.6989371Z [2022-11-23 01:24:41,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.6989613Z [2022-11-23 01:24:41,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6989985Z [2022-11-23 01:24:41,124] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.6990234Z [2022-11-23 01:24:41,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.6990458Z [2022-11-23 01:24:41,125] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.6990708Z [2022-11-23 01:24:41,127] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.6990958Z [2022-11-23 01:24:41,144] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.6991145Z [2022-11-23 01:24:41,144] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.6991279Z __compiled_fn_187 .1586 opcode, name, target, args, kwargs 2022-11-23T01:30:35.6991369Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.6991511Z call_function, hardswish, , (ex_0_,), {} 2022-11-23T01:30:35.6991685Z call_function, add, , (ex_0_, 3), {} 2022-11-23T01:30:35.6991812Z call_function, hardswish_1, , (add,), {} 2022-11-23T01:30:35.6991984Z call_function, sub, , (ex_0_, 3), {} 2022-11-23T01:30:35.6992120Z call_function, hardswish_2, , (sub,), {} 2022-11-23T01:30:35.6992253Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {} 2022-11-23T01:30:35.6992259Z 2022-11-23T01:30:35.6992581Z [2022-11-23 01:24:41,145] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6992674Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.6992764Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6992849Z 4 BUILD_MAP 0 2022-11-23T01:30:35.6992928Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.6993015Z 8 DICT_MERGE 1 2022-11-23T01:30:35.6993102Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.6993175Z 12 RETURN_VALUE 2022-11-23T01:30:35.6993217Z 2022-11-23T01:30:35.6993279Z 2022-11-23T01:30:35.6993599Z [2022-11-23 01:24:41,145] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.6993704Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_187) 2022-11-23T01:30:35.6993790Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.6993866Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6993940Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.6994027Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.6994127Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6994227Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6994313Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.6994415Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.6994502Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6994592Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.6994665Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.6994764Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.6994849Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.6994922Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.6995008Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.6995069Z 32 RETURN_VALUE 2022-11-23T01:30:35.6995086Z 2022-11-23T01:30:35.6995134Z 2022-11-23T01:30:35.6995314Z [2022-11-23 01:24:41,145] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.6995384Z - 2022-11-23T01:30:35.6995502Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.6995565Z { 2022-11-23T01:30:35.6995702Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.6995888Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.6995995Z 'obj_weakref': None 2022-11-23T01:30:35.6996222Z 'guarded_class': 2022-11-23T01:30:35.6996285Z } 2022-11-23T01:30:35.6996347Z 2022-11-23T01:30:35.6996416Z - 2022-11-23T01:30:35.6996538Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.6996588Z { 2022-11-23T01:30:35.6996728Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.6996834Z 'code': None, 2022-11-23T01:30:35.6997046Z 'obj_weakref': 2022-11-23T01:30:35.6997297Z 'guarded_class': 2022-11-23T01:30:35.6997360Z } 2022-11-23T01:30:35.6997424Z 2022-11-23T01:30:35.6997492Z - 2022-11-23T01:30:35.6997610Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.6997673Z { 2022-11-23T01:30:35.6997806Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.6997973Z 'code': ['___check_obj_id(model, 140534432991984)'], 2022-11-23T01:30:35.6998090Z 'obj_weakref': None 2022-11-23T01:30:35.6998317Z 'guarded_class': 2022-11-23T01:30:35.6998380Z } 2022-11-23T01:30:35.6998429Z 2022-11-23T01:30:35.6998496Z - 2022-11-23T01:30:35.6998618Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.6998680Z { 2022-11-23T01:30:35.6998814Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.6999028Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.6999143Z 'obj_weakref': None 2022-11-23T01:30:35.6999355Z 'guarded_class': 2022-11-23T01:30:35.6999417Z } 2022-11-23T01:30:35.6999510Z 2022-11-23T01:30:35.6999580Z - 2022-11-23T01:30:35.6999704Z global 'F' FUNCTION_MATCH 2022-11-23T01:30:35.6999769Z { 2022-11-23T01:30:35.6999875Z 'guard_types': None, 2022-11-23T01:30:35.7000077Z 'code': None, 2022-11-23T01:30:35.7000201Z 'obj_weakref': None 2022-11-23T01:30:35.7000322Z 'guarded_class': None 2022-11-23T01:30:35.7000384Z } 2022-11-23T01:30:35.7000447Z 2022-11-23T01:30:35.7000711Z [2022-11-23 01:24:41,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186 2022-11-23T01:30:35.7001081Z [2022-11-23 01:24:42,644] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lq/clqhuyqflpmha7xmjoryrznkom4zbhmmgxc3iq5jyhkzxs5y6z7m.py 2022-11-23T01:30:35.7001366Z [2022-11-23 01:24:42,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186 2022-11-23T01:30:35.7001371Z 2022-11-23T01:30:35.7001467Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7001537Z import torch 2022-11-23T01:30:35.7001605Z import random 2022-11-23T01:30:35.7001719Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7001841Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7001846Z 2022-11-23T01:30:35.7001924Z aten = torch.ops.aten 2022-11-23T01:30:35.7002045Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7002136Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7002141Z 2022-11-23T01:30:35.7002145Z 2022-11-23T01:30:35.7002279Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7002483Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7002601Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7002702Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7002795Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7002891Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7002939Z { 2022-11-23T01:30:35.7003038Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7003099Z { 2022-11-23T01:30:35.7003176Z #pragma omp for 2022-11-23T01:30:35.7003255Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7003317Z { 2022-11-23T01:30:35.7003454Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7003573Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:35.7003657Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7003790Z auto tmp3 = at::vec::Vectorized(static_cast(0.0)); 2022-11-23T01:30:35.7003895Z auto tmp4 = at::vec::maximum(tmp2, tmp3); 2022-11-23T01:30:35.7004029Z auto tmp5 = at::vec::Vectorized(static_cast(6.0)); 2022-11-23T01:30:35.7004137Z auto tmp6 = at::vec::minimum(tmp4, tmp5); 2022-11-23T01:30:35.7004222Z auto tmp7 = tmp0 * tmp6; 2022-11-23T01:30:35.7004350Z auto tmp8 = at::vec::Vectorized(static_cast(6)); 2022-11-23T01:30:35.7004433Z auto tmp9 = tmp7 / tmp8; 2022-11-23T01:30:35.7004505Z auto tmp10 = tmp2 + tmp1; 2022-11-23T01:30:35.7004610Z auto tmp11 = at::vec::maximum(tmp10, tmp3); 2022-11-23T01:30:35.7004714Z auto tmp12 = at::vec::minimum(tmp11, tmp5); 2022-11-23T01:30:35.7004901Z auto tmp13 = tmp2 * tmp12; 2022-11-23T01:30:35.7004985Z auto tmp14 = tmp13 / tmp8; 2022-11-23T01:30:35.7005109Z auto tmp15 = tmp0 - tmp1; 2022-11-23T01:30:35.7005192Z auto tmp16 = tmp15 + tmp1; 2022-11-23T01:30:35.7005287Z auto tmp17 = at::vec::maximum(tmp16, tmp3); 2022-11-23T01:30:35.7005397Z auto tmp18 = at::vec::minimum(tmp17, tmp5); 2022-11-23T01:30:35.7005484Z auto tmp19 = tmp15 * tmp18; 2022-11-23T01:30:35.7005614Z auto tmp20 = tmp19 / tmp8; 2022-11-23T01:30:35.7005708Z tmp9.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7005799Z tmp14.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7005889Z tmp20.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.7005939Z } 2022-11-23T01:30:35.7006033Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7006114Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.7006175Z { 2022-11-23T01:30:35.7006260Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7006361Z auto tmp1 = static_cast(3); 2022-11-23T01:30:35.7006443Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7006531Z auto tmp3 = static_cast(0.0); 2022-11-23T01:30:35.7006627Z auto tmp4 = std::max(tmp2, tmp3); 2022-11-23T01:30:35.7006763Z auto tmp5 = static_cast(6.0); 2022-11-23T01:30:35.7006859Z auto tmp6 = std::min(tmp4, tmp5); 2022-11-23T01:30:35.7006946Z auto tmp7 = tmp0 * tmp6; 2022-11-23T01:30:35.7007041Z auto tmp8 = static_cast(6); 2022-11-23T01:30:35.7007125Z auto tmp9 = tmp7 / tmp8; 2022-11-23T01:30:35.7007195Z auto tmp10 = tmp2 + tmp1; 2022-11-23T01:30:35.7007293Z auto tmp11 = std::max(tmp10, tmp3); 2022-11-23T01:30:35.7007388Z auto tmp12 = std::min(tmp11, tmp5); 2022-11-23T01:30:35.7007475Z auto tmp13 = tmp2 * tmp12; 2022-11-23T01:30:35.7007557Z auto tmp14 = tmp13 / tmp8; 2022-11-23T01:30:35.7007682Z auto tmp15 = tmp0 - tmp1; 2022-11-23T01:30:35.7007765Z auto tmp16 = tmp15 + tmp1; 2022-11-23T01:30:35.7007860Z auto tmp17 = std::max(tmp16, tmp3); 2022-11-23T01:30:35.7007945Z auto tmp18 = std::min(tmp17, tmp5); 2022-11-23T01:30:35.7008030Z auto tmp19 = tmp15 * tmp18; 2022-11-23T01:30:35.7008113Z auto tmp20 = tmp19 / tmp8; 2022-11-23T01:30:35.7008192Z out_ptr0[i0] = tmp9; 2022-11-23T01:30:35.7008272Z out_ptr1[i0] = tmp14; 2022-11-23T01:30:35.7008350Z out_ptr2[i0] = tmp20; 2022-11-23T01:30:35.7008412Z } 2022-11-23T01:30:35.7008461Z } 2022-11-23T01:30:35.7008520Z } 2022-11-23T01:30:35.7008596Z ''') 2022-11-23T01:30:35.7008603Z 2022-11-23T01:30:35.7008607Z 2022-11-23T01:30:35.7008696Z async_compile.wait(globals()) 2022-11-23T01:30:35.7008767Z del async_compile 2022-11-23T01:30:35.7008772Z 2022-11-23T01:30:35.7008841Z def call(args): 2022-11-23T01:30:35.7008908Z arg0_1, = args 2022-11-23T01:30:35.7008967Z args.clear() 2022-11-23T01:30:35.7009159Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7009351Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7009536Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7009729Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7009797Z del arg0_1 2022-11-23T01:30:35.7009879Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7009884Z 2022-11-23T01:30:35.7009888Z 2022-11-23T01:30:35.7009963Z if __name__ == "__main__": 2022-11-23T01:30:35.7010066Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7010187Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7010377Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7010483Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7010488Z 2022-11-23T01:30:35.7010552Z ok (1.600s) 2022-11-23T01:30:35.7010862Z test_hardtanh_cpu (__main__.CpuTests) ... [2022-11-23 01:24:42,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7011178Z [2022-11-23 01:24:42,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7011423Z [2022-11-23 01:24:42,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7011666Z [2022-11-23 01:24:42,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7011943Z [2022-11-23 01:24:42,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7012264Z [2022-11-23 01:24:42,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7012626Z [2022-11-23 01:24:42,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7012947Z [2022-11-23 01:24:42,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7013369Z [2022-11-23 01:24:42,697] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7013463Z 2612 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.7013562Z 2 LOAD_METHOD 1 (hardtanh) 2022-11-23T01:30:35.7013651Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7013738Z 6 CALL_METHOD 1 2022-11-23T01:30:35.7013816Z 8 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.7013912Z 10 LOAD_METHOD 1 (hardtanh) 2022-11-23T01:30:35.7013999Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7014087Z 14 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7014160Z 16 BINARY_ADD 2022-11-23T01:30:35.7014246Z 18 CALL_METHOD 1 2022-11-23T01:30:35.7014335Z 20 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.7014420Z 22 LOAD_METHOD 1 (hardtanh) 2022-11-23T01:30:35.7014507Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7014591Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7014670Z 28 BINARY_SUBTRACT 2022-11-23T01:30:35.7014755Z 30 CALL_METHOD 1 2022-11-23T01:30:35.7014842Z 32 BUILD_TUPLE 3 2022-11-23T01:30:35.7014917Z 34 RETURN_VALUE 2022-11-23T01:30:35.7014965Z 2022-11-23T01:30:35.7014970Z 2022-11-23T01:30:35.7015288Z [2022-11-23 01:24:42,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2612 2022-11-23T01:30:35.7015500Z [2022-11-23 01:24:42,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:30:35.7015917Z [2022-11-23 01:24:42,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable()] 2022-11-23T01:30:35.7016210Z [2022-11-23 01:24:42,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.7016535Z [2022-11-23 01:24:42,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7016773Z [2022-11-23 01:24:42,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:30:35.7017210Z [2022-11-23 01:24:42,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7017532Z [2022-11-23 01:24:42,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7017907Z [2022-11-23 01:24:42,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7018300Z [2022-11-23 01:24:42,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7018639Z [2022-11-23 01:24:42,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7018908Z [2022-11-23 01:24:42,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7019376Z [2022-11-23 01:24:42,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7019753Z [2022-11-23 01:24:42,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7020133Z [2022-11-23 01:24:42,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7020561Z [2022-11-23 01:24:42,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7020937Z [2022-11-23 01:24:42,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7021237Z [2022-11-23 01:24:42,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7021480Z [2022-11-23 01:24:42,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7021860Z [2022-11-23 01:24:42,712] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7022102Z [2022-11-23 01:24:42,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7022337Z [2022-11-23 01:24:42,713] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7022579Z [2022-11-23 01:24:42,715] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7022827Z [2022-11-23 01:24:42,726] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7023016Z [2022-11-23 01:24:42,726] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7023150Z __compiled_fn_188 .1592 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7023241Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7023381Z call_function, hardtanh, , (ex_0_,), {} 2022-11-23T01:30:35.7023552Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.7023689Z call_function, hardtanh_1, , (add,), {} 2022-11-23T01:30:35.7023843Z call_function, sub, , (ex_0_, 1), {} 2022-11-23T01:30:35.7023976Z call_function, hardtanh_2, , (sub,), {} 2022-11-23T01:30:35.7024104Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {} 2022-11-23T01:30:35.7024112Z 2022-11-23T01:30:35.7024439Z [2022-11-23 01:24:42,727] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7024562Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7024654Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7024742Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7024833Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7024906Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7024994Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7025069Z 12 RETURN_VALUE 2022-11-23T01:30:35.7025074Z 2022-11-23T01:30:35.7025137Z 2022-11-23T01:30:35.7025465Z [2022-11-23 01:24:42,727] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7025573Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_188) 2022-11-23T01:30:35.7025691Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7025780Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7025845Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7025934Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.7026037Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7026137Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7026225Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7026301Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.7026401Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7026476Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7026550Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7026649Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7026736Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7026814Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7026902Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.7026975Z 32 RETURN_VALUE 2022-11-23T01:30:35.7026982Z 2022-11-23T01:30:35.7027042Z 2022-11-23T01:30:35.7027210Z [2022-11-23 01:24:42,728] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7027280Z - 2022-11-23T01:30:35.7027399Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7027467Z { 2022-11-23T01:30:35.7027605Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7027791Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.7027909Z 'obj_weakref': None 2022-11-23T01:30:35.7028123Z 'guarded_class': 2022-11-23T01:30:35.7028188Z } 2022-11-23T01:30:35.7028254Z 2022-11-23T01:30:35.7028326Z - 2022-11-23T01:30:35.7028449Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7028516Z { 2022-11-23T01:30:35.7028644Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7028750Z 'code': None, 2022-11-23T01:30:35.7028963Z 'obj_weakref': 2022-11-23T01:30:35.7029216Z 'guarded_class': 2022-11-23T01:30:35.7029282Z } 2022-11-23T01:30:35.7029344Z 2022-11-23T01:30:35.7029413Z - 2022-11-23T01:30:35.7029530Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7029593Z { 2022-11-23T01:30:35.7029725Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7029892Z 'code': ['___check_obj_id(model, 140534432994432)'], 2022-11-23T01:30:35.7030009Z 'obj_weakref': None 2022-11-23T01:30:35.7030237Z 'guarded_class': 2022-11-23T01:30:35.7030302Z } 2022-11-23T01:30:35.7030365Z 2022-11-23T01:30:35.7030421Z - 2022-11-23T01:30:35.7030569Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7030634Z { 2022-11-23T01:30:35.7030770Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7030987Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7031105Z 'obj_weakref': None 2022-11-23T01:30:35.7031325Z 'guarded_class': 2022-11-23T01:30:35.7031375Z } 2022-11-23T01:30:35.7031435Z 2022-11-23T01:30:35.7031504Z - 2022-11-23T01:30:35.7031629Z global 'F' FUNCTION_MATCH 2022-11-23T01:30:35.7031691Z { 2022-11-23T01:30:35.7031808Z 'guard_types': None, 2022-11-23T01:30:35.7031901Z 'code': None, 2022-11-23T01:30:35.7032046Z 'obj_weakref': None 2022-11-23T01:30:35.7032164Z 'guarded_class': None 2022-11-23T01:30:35.7037114Z } 2022-11-23T01:30:35.7037210Z 2022-11-23T01:30:35.7037503Z [2022-11-23 01:24:42,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187 2022-11-23T01:30:35.7037874Z [2022-11-23 01:24:44,208] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3m56luqn5cltsepzeui42qtmxrkq77svsw7bmg7ugwflbenwkmo.py 2022-11-23T01:30:35.7038145Z [2022-11-23 01:24:44,209] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187 2022-11-23T01:30:35.7038151Z 2022-11-23T01:30:35.7038247Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7038316Z import torch 2022-11-23T01:30:35.7038389Z import random 2022-11-23T01:30:35.7038503Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7038622Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7038631Z 2022-11-23T01:30:35.7038697Z aten = torch.ops.aten 2022-11-23T01:30:35.7038830Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7038923Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7038928Z 2022-11-23T01:30:35.7038932Z 2022-11-23T01:30:35.7039067Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7039273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7039389Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7039487Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7039582Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7039661Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7039721Z { 2022-11-23T01:30:35.7039819Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7039881Z { 2022-11-23T01:30:35.7039958Z #pragma omp for 2022-11-23T01:30:35.7040123Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7040186Z { 2022-11-23T01:30:35.7040315Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7040524Z auto tmp1 = at::vec::Vectorized(static_cast(-1.0)); 2022-11-23T01:30:35.7040630Z auto tmp2 = at::vec::maximum(tmp0, tmp1); 2022-11-23T01:30:35.7040763Z auto tmp3 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:30:35.7040867Z auto tmp4 = at::vec::minimum(tmp2, tmp3); 2022-11-23T01:30:35.7040997Z auto tmp5 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.7041082Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:30:35.7041186Z auto tmp7 = at::vec::maximum(tmp6, tmp1); 2022-11-23T01:30:35.7041276Z auto tmp8 = at::vec::minimum(tmp7, tmp3); 2022-11-23T01:30:35.7041398Z auto tmp9 = tmp0 - tmp5; 2022-11-23T01:30:35.7041506Z auto tmp10 = at::vec::maximum(tmp9, tmp1); 2022-11-23T01:30:35.7041616Z auto tmp11 = at::vec::minimum(tmp10, tmp3); 2022-11-23T01:30:35.7041707Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7041874Z tmp8.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7041967Z tmp11.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.7042030Z } 2022-11-23T01:30:35.7042111Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7042192Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.7042254Z { 2022-11-23T01:30:35.7042336Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7042484Z auto tmp1 = static_cast(-1.0); 2022-11-23T01:30:35.7042581Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:30:35.7042681Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:35.7042766Z auto tmp4 = std::min(tmp2, tmp3); 2022-11-23T01:30:35.7042862Z auto tmp5 = static_cast(1); 2022-11-23T01:30:35.7042979Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:30:35.7043073Z auto tmp7 = std::max(tmp6, tmp1); 2022-11-23T01:30:35.7043166Z auto tmp8 = std::min(tmp7, tmp3); 2022-11-23T01:30:35.7043290Z auto tmp9 = tmp0 - tmp5; 2022-11-23T01:30:35.7043386Z auto tmp10 = std::max(tmp9, tmp1); 2022-11-23T01:30:35.7043472Z auto tmp11 = std::min(tmp10, tmp3); 2022-11-23T01:30:35.7043548Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.7043623Z out_ptr1[i0] = tmp8; 2022-11-23T01:30:35.7043701Z out_ptr2[i0] = tmp11; 2022-11-23T01:30:35.7043764Z } 2022-11-23T01:30:35.7043825Z } 2022-11-23T01:30:35.7043883Z } 2022-11-23T01:30:35.7043949Z ''') 2022-11-23T01:30:35.7043954Z 2022-11-23T01:30:35.7043958Z 2022-11-23T01:30:35.7044045Z async_compile.wait(globals()) 2022-11-23T01:30:35.7044116Z del async_compile 2022-11-23T01:30:35.7044121Z 2022-11-23T01:30:35.7044191Z def call(args): 2022-11-23T01:30:35.7044257Z arg0_1, = args 2022-11-23T01:30:35.7044329Z args.clear() 2022-11-23T01:30:35.7044520Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7044701Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7044994Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7045187Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7045255Z del arg0_1 2022-11-23T01:30:35.7045340Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7045345Z 2022-11-23T01:30:35.7045349Z 2022-11-23T01:30:35.7045425Z if __name__ == "__main__": 2022-11-23T01:30:35.7045538Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7045660Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7045854Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7045952Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7045957Z 2022-11-23T01:30:35.7046023Z ok (1.536s) 2022-11-23T01:30:35.7046346Z test_horizonal_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:44,216] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7046666Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7046884Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7047137Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7047419Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7047740Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7048151Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7048464Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7048839Z [2022-11-23 01:24:44,217] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7048930Z 689 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7049021Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7049094Z 4 BINARY_ADD 2022-11-23T01:30:35.7049182Z 6 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7049268Z 8 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7049379Z 10 BINARY_SUBTRACT 2022-11-23T01:30:35.7049451Z 12 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7049536Z 14 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7049612Z 16 BINARY_MULTIPLY 2022-11-23T01:30:35.7049698Z 18 BUILD_TUPLE 3 2022-11-23T01:30:35.7049773Z 20 RETURN_VALUE 2022-11-23T01:30:35.7049834Z 2022-11-23T01:30:35.7049839Z 2022-11-23T01:30:35.7050153Z [2022-11-23 01:24:44,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:689 2022-11-23T01:30:35.7050361Z [2022-11-23 01:24:44,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7050584Z [2022-11-23 01:24:44,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.7050858Z [2022-11-23 01:24:44,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7051095Z [2022-11-23 01:24:44,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:35.7051360Z [2022-11-23 01:24:44,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7051667Z [2022-11-23 01:24:44,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7051925Z [2022-11-23 01:24:44,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7052214Z [2022-11-23 01:24:44,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7052551Z [2022-11-23 01:24:44,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7052851Z [2022-11-23 01:24:44,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7053100Z [2022-11-23 01:24:44,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7053466Z [2022-11-23 01:24:44,222] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7053709Z [2022-11-23 01:24:44,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7053940Z [2022-11-23 01:24:44,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7054191Z [2022-11-23 01:24:44,224] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7054438Z [2022-11-23 01:24:44,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7054626Z [2022-11-23 01:24:44,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7054788Z __compiled_fn_189 .1598 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7054877Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7054996Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7055067Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7055311Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.7055486Z call_function, sub, , (ex_0_, ex_2_), {} 2022-11-23T01:30:35.7055660Z call_function, mul, , (ex_1_, ex_2_), {} 2022-11-23T01:30:35.7055764Z output, output, output, ((add, sub, mul),), {} 2022-11-23T01:30:35.7055770Z 2022-11-23T01:30:35.7056092Z [2022-11-23 01:24:44,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7056215Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7056302Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7056377Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7056468Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7056552Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7056638Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7056711Z 12 RETURN_VALUE 2022-11-23T01:30:35.7056716Z 2022-11-23T01:30:35.7056774Z 2022-11-23T01:30:35.7057100Z [2022-11-23 01:24:44,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7057195Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_189) 2022-11-23T01:30:35.7057282Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7057368Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7057443Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7057531Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7057615Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7057721Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7057794Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7057878Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7057951Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7058036Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7058137Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7058236Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7058319Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7058381Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7058479Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7058564Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7058638Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7058738Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7058822Z 38 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7058897Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.7058981Z 42 BUILD_TUPLE 3 2022-11-23T01:30:35.7059043Z 44 RETURN_VALUE 2022-11-23T01:30:35.7059048Z 2022-11-23T01:30:35.7059108Z 2022-11-23T01:30:35.7059289Z [2022-11-23 01:24:44,232] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7059358Z - 2022-11-23T01:30:35.7059475Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7059538Z { 2022-11-23T01:30:35.7059676Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7059847Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7059965Z 'obj_weakref': None 2022-11-23T01:30:35.7060189Z 'guarded_class': 2022-11-23T01:30:35.7060253Z } 2022-11-23T01:30:35.7060315Z 2022-11-23T01:30:35.7060383Z - 2022-11-23T01:30:35.7060536Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7060587Z { 2022-11-23T01:30:35.7060730Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7060834Z 'code': None, 2022-11-23T01:30:35.7061043Z 'obj_weakref': 2022-11-23T01:30:35.7061294Z 'guarded_class': 2022-11-23T01:30:35.7061357Z } 2022-11-23T01:30:35.7061416Z 2022-11-23T01:30:35.7061472Z - 2022-11-23T01:30:35.7061597Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7061658Z { 2022-11-23T01:30:35.7061797Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7061902Z 'code': None, 2022-11-23T01:30:35.7062137Z 'obj_weakref': 2022-11-23T01:30:35.7062387Z 'guarded_class': 2022-11-23T01:30:35.7062438Z } 2022-11-23T01:30:35.7062498Z 2022-11-23T01:30:35.7062566Z - 2022-11-23T01:30:35.7062686Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7062747Z { 2022-11-23T01:30:35.7062890Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7062995Z 'code': None, 2022-11-23T01:30:35.7063189Z 'obj_weakref': 2022-11-23T01:30:35.7063437Z 'guarded_class': 2022-11-23T01:30:35.7063499Z } 2022-11-23T01:30:35.7063560Z 2022-11-23T01:30:35.7063628Z - 2022-11-23T01:30:35.7063759Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7063819Z { 2022-11-23T01:30:35.7063938Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7064105Z 'code': ['___check_obj_id(model, 140534432991840)'], 2022-11-23T01:30:35.7064226Z 'obj_weakref': None 2022-11-23T01:30:35.7064453Z 'guarded_class': 2022-11-23T01:30:35.7064514Z } 2022-11-23T01:30:35.7064576Z 2022-11-23T01:30:35.7064644Z - 2022-11-23T01:30:35.7064750Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7064812Z { 2022-11-23T01:30:35.7064944Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7065163Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7065279Z 'obj_weakref': None 2022-11-23T01:30:35.7065501Z 'guarded_class': 2022-11-23T01:30:35.7065566Z } 2022-11-23T01:30:35.7065615Z 2022-11-23T01:30:35.7065875Z [2022-11-23 01:24:44,243] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188 2022-11-23T01:30:35.7066245Z [2022-11-23 01:24:45,747] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oj/cojix3qfkhpg5glpvzhqwvixwgr3gojdmk47n7i3oljo4m7e7xb5.py 2022-11-23T01:30:35.7066508Z [2022-11-23 01:24:45,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188 2022-11-23T01:30:35.7066514Z 2022-11-23T01:30:35.7066606Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7066673Z import torch 2022-11-23T01:30:35.7066739Z import random 2022-11-23T01:30:35.7066852Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7066960Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7066965Z 2022-11-23T01:30:35.7067044Z aten = torch.ops.aten 2022-11-23T01:30:35.7067177Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7067268Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7067272Z 2022-11-23T01:30:35.7067313Z 2022-11-23T01:30:35.7067447Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7067651Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7067767Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7067872Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7067960Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7068055Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7068150Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7068242Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7068302Z { 2022-11-23T01:30:35.7068401Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7068496Z { 2022-11-23T01:30:35.7068560Z #pragma omp for 2022-11-23T01:30:35.7068641Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.7068705Z { 2022-11-23T01:30:35.7068842Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7068972Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.7069056Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7069145Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7069195Z } 2022-11-23T01:30:35.7069286Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7069370Z for(long i0=2048; i0<2048; i0+=1) 2022-11-23T01:30:35.7069431Z { 2022-11-23T01:30:35.7069512Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7069592Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.7069674Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7069740Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.7069802Z } 2022-11-23T01:30:35.7069876Z #pragma omp for 2022-11-23T01:30:35.7069957Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7070017Z { 2022-11-23T01:30:35.7070097Z #pragma GCC ivdep 2022-11-23T01:30:35.7070180Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:35.7070230Z { 2022-11-23T01:30:35.7070316Z for(long i2=0; i2<2; i2+=1) 2022-11-23T01:30:35.7070380Z { 2022-11-23T01:30:35.7070525Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:30:35.7070650Z auto tmp1 = at::vec::Vectorized(in_ptr2[i1]); 2022-11-23T01:30:35.7070795Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:30:35.7070931Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.7071019Z auto tmp4 = tmp3 * tmp1; 2022-11-23T01:30:35.7071121Z tmp2.store(out_ptr1 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:30:35.7071227Z tmp4.store(out_ptr2 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:30:35.7071293Z } 2022-11-23T01:30:35.7071387Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.7071473Z for(long i2=16; i2<16; i2+=1) 2022-11-23T01:30:35.7071534Z { 2022-11-23T01:30:35.7071640Z auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)]; 2022-11-23T01:30:35.7071716Z auto tmp1 = in_ptr2[i1]; 2022-11-23T01:30:35.7071815Z auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)]; 2022-11-23T01:30:35.7071949Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.7072035Z auto tmp4 = tmp3 * tmp1; 2022-11-23T01:30:35.7072132Z out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2; 2022-11-23T01:30:35.7072227Z out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4; 2022-11-23T01:30:35.7072291Z } 2022-11-23T01:30:35.7072341Z } 2022-11-23T01:30:35.7072402Z } 2022-11-23T01:30:35.7072462Z } 2022-11-23T01:30:35.7072519Z } 2022-11-23T01:30:35.7072625Z ''') 2022-11-23T01:30:35.7072631Z 2022-11-23T01:30:35.7072635Z 2022-11-23T01:30:35.7072723Z async_compile.wait(globals()) 2022-11-23T01:30:35.7072793Z del async_compile 2022-11-23T01:30:35.7072797Z 2022-11-23T01:30:35.7072854Z def call(args): 2022-11-23T01:30:35.7072935Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7073004Z args.clear() 2022-11-23T01:30:35.7073210Z buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7073413Z buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7073616Z buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7073851Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7073949Z del arg0_1 2022-11-23T01:30:35.7074002Z del arg1_1 2022-11-23T01:30:35.7074069Z del arg2_1 2022-11-23T01:30:35.7074150Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7074155Z 2022-11-23T01:30:35.7074158Z 2022-11-23T01:30:35.7074231Z if __name__ == "__main__": 2022-11-23T01:30:35.7074345Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7074465Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7074671Z arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7074876Z arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7075062Z arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7075181Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7075188Z 2022-11-23T01:30:35.7075252Z ok (1.539s) 2022-11-23T01:30:35.7075574Z test_horizonal_fusion2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:45,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7075889Z [2022-11-23 01:24:45,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7076101Z [2022-11-23 01:24:45,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7076353Z [2022-11-23 01:24:45,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7076627Z [2022-11-23 01:24:45,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7076945Z [2022-11-23 01:24:45,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7077281Z [2022-11-23 01:24:45,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7077605Z [2022-11-23 01:24:45,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7077977Z [2022-11-23 01:24:45,757] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7078066Z 697 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7078155Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7078225Z 4 BINARY_ADD 2022-11-23T01:30:35.7078311Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7078399Z 8 LOAD_CONST 2 (2) 2022-11-23T01:30:35.7078469Z 10 BINARY_ADD 2022-11-23T01:30:35.7078544Z 12 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7078626Z 14 LOAD_CONST 3 (3) 2022-11-23T01:30:35.7078724Z 16 BINARY_ADD 2022-11-23T01:30:35.7078814Z 18 BUILD_TUPLE 3 2022-11-23T01:30:35.7078888Z 20 RETURN_VALUE 2022-11-23T01:30:35.7078946Z 2022-11-23T01:30:35.7078951Z 2022-11-23T01:30:35.7079264Z [2022-11-23 01:24:45,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:697 2022-11-23T01:30:35.7079460Z [2022-11-23 01:24:45,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7079696Z [2022-11-23 01:24:45,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.7080051Z [2022-11-23 01:24:45,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7080358Z [2022-11-23 01:24:45,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.7080623Z [2022-11-23 01:24:45,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7080934Z [2022-11-23 01:24:45,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7081197Z [2022-11-23 01:24:45,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7081487Z [2022-11-23 01:24:45,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7081823Z [2022-11-23 01:24:45,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7082122Z [2022-11-23 01:24:45,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7082360Z [2022-11-23 01:24:45,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7082740Z [2022-11-23 01:24:45,762] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7082983Z [2022-11-23 01:24:45,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7083215Z [2022-11-23 01:24:45,762] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7083466Z [2022-11-23 01:24:45,764] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7083711Z [2022-11-23 01:24:45,770] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7083901Z [2022-11-23 01:24:45,770] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7084034Z __compiled_fn_190 .1604 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7084125Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7084197Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7084278Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7084452Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.7084624Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:30:35.7084884Z call_function, add_2, , (ex_2_, 3), {} 2022-11-23T01:30:35.7084993Z output, output, output, ((add, add_1, add_2),), {} 2022-11-23T01:30:35.7084998Z 2022-11-23T01:30:35.7085322Z [2022-11-23 01:24:45,771] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7085415Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7085493Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7085580Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7085724Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7085808Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7085897Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7085972Z 12 RETURN_VALUE 2022-11-23T01:30:35.7085976Z 2022-11-23T01:30:35.7086036Z 2022-11-23T01:30:35.7086350Z [2022-11-23 01:24:45,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7086456Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_190) 2022-11-23T01:30:35.7086546Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7086633Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7086708Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7086795Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7086923Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7086997Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7087072Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7087156Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7087229Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7087315Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7087416Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7087514Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7087601Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7087662Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7087759Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7087843Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7087917Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7088017Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7088104Z 38 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7088177Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.7088253Z 42 BUILD_TUPLE 3 2022-11-23T01:30:35.7088327Z 44 RETURN_VALUE 2022-11-23T01:30:35.7088332Z 2022-11-23T01:30:35.7088394Z 2022-11-23T01:30:35.7088572Z [2022-11-23 01:24:45,772] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7088641Z - 2022-11-23T01:30:35.7088759Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7088820Z { 2022-11-23T01:30:35.7088945Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7089130Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7089248Z 'obj_weakref': None 2022-11-23T01:30:35.7089471Z 'guarded_class': 2022-11-23T01:30:35.7089536Z } 2022-11-23T01:30:35.7089598Z 2022-11-23T01:30:35.7089665Z - 2022-11-23T01:30:35.7089774Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7089837Z { 2022-11-23T01:30:35.7089980Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7090085Z 'code': None, 2022-11-23T01:30:35.7090296Z 'obj_weakref': 2022-11-23T01:30:35.7090545Z 'guarded_class': 2022-11-23T01:30:35.7090607Z } 2022-11-23T01:30:35.7090657Z 2022-11-23T01:30:35.7090723Z - 2022-11-23T01:30:35.7090844Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7090908Z { 2022-11-23T01:30:35.7091045Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7091149Z 'code': None, 2022-11-23T01:30:35.7091355Z 'obj_weakref': 2022-11-23T01:30:35.7091624Z 'guarded_class': 2022-11-23T01:30:35.7091686Z } 2022-11-23T01:30:35.7091747Z 2022-11-23T01:30:35.7091816Z - 2022-11-23T01:30:35.7091934Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7091995Z { 2022-11-23T01:30:35.7092133Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7092224Z 'code': None, 2022-11-23T01:30:35.7092429Z 'obj_weakref': 2022-11-23T01:30:35.7092675Z 'guarded_class': 2022-11-23T01:30:35.7092737Z } 2022-11-23T01:30:35.7092799Z 2022-11-23T01:30:35.7092867Z - 2022-11-23T01:30:35.7092996Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7093076Z { 2022-11-23T01:30:35.7093206Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7093375Z 'code': ['___check_obj_id(model, 140534432297120)'], 2022-11-23T01:30:35.7093492Z 'obj_weakref': None 2022-11-23T01:30:35.7093720Z 'guarded_class': 2022-11-23T01:30:35.7093783Z } 2022-11-23T01:30:35.7093844Z 2022-11-23T01:30:35.7093899Z - 2022-11-23T01:30:35.7094018Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7094080Z { 2022-11-23T01:30:35.7094213Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7094428Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7094544Z 'obj_weakref': None 2022-11-23T01:30:35.7094765Z 'guarded_class': 2022-11-23T01:30:35.7094827Z } 2022-11-23T01:30:35.7094877Z 2022-11-23T01:30:35.7095138Z [2022-11-23 01:24:45,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189 2022-11-23T01:30:35.7095495Z [2022-11-23 01:24:47,298] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xx/cxx7t4tikb3226ob7qgve4avbpb4nv7qv7e7qdqihg5l6bigsdkj.py 2022-11-23T01:30:35.7095756Z [2022-11-23 01:24:47,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189 2022-11-23T01:30:35.7095761Z 2022-11-23T01:30:35.7095852Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7095919Z import torch 2022-11-23T01:30:35.7095986Z import random 2022-11-23T01:30:35.7096087Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7096206Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7096211Z 2022-11-23T01:30:35.7096287Z aten = torch.ops.aten 2022-11-23T01:30:35.7096423Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7096513Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7096518Z 2022-11-23T01:30:35.7096522Z 2022-11-23T01:30:35.7096655Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7096860Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7096976Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7097078Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7097168Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7097266Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7097359Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7097450Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7097556Z { 2022-11-23T01:30:35.7097653Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7097714Z { 2022-11-23T01:30:35.7097780Z #pragma omp for 2022-11-23T01:30:35.7097861Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:35.7097923Z { 2022-11-23T01:30:35.7098088Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7098229Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.7098313Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7098402Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7098452Z } 2022-11-23T01:30:35.7098546Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7098630Z for(long i0=1024; i0<1024; i0+=1) 2022-11-23T01:30:35.7098690Z { 2022-11-23T01:30:35.7098773Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7098869Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.7098951Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7099018Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.7099078Z } 2022-11-23T01:30:35.7099218Z #pragma omp for 2022-11-23T01:30:35.7099296Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.7099357Z { 2022-11-23T01:30:35.7099488Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.7099617Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.7099687Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7099776Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7099837Z } 2022-11-23T01:30:35.7099930Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7100011Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:35.7100072Z { 2022-11-23T01:30:35.7100153Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.7100237Z auto tmp1 = static_cast(2); 2022-11-23T01:30:35.7100320Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7100399Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.7100460Z } 2022-11-23T01:30:35.7100537Z #pragma omp for 2022-11-23T01:30:35.7100617Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.7100676Z { 2022-11-23T01:30:35.7100792Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:30:35.7100921Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:35.7101001Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7101086Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.7101145Z } 2022-11-23T01:30:35.7101236Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7101319Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:35.7101367Z { 2022-11-23T01:30:35.7101450Z auto tmp0 = in_ptr2[i0]; 2022-11-23T01:30:35.7101547Z auto tmp1 = static_cast(3); 2022-11-23T01:30:35.7101627Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7101703Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:35.7101765Z } 2022-11-23T01:30:35.7101824Z } 2022-11-23T01:30:35.7101871Z } 2022-11-23T01:30:35.7101952Z ''') 2022-11-23T01:30:35.7101957Z 2022-11-23T01:30:35.7101961Z 2022-11-23T01:30:35.7102050Z async_compile.wait(globals()) 2022-11-23T01:30:35.7102119Z del async_compile 2022-11-23T01:30:35.7102124Z 2022-11-23T01:30:35.7102191Z def call(args): 2022-11-23T01:30:35.7102270Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7102340Z args.clear() 2022-11-23T01:30:35.7102536Z buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7102729Z buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7102920Z buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7103152Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7103222Z del arg0_1 2022-11-23T01:30:35.7103287Z del arg1_1 2022-11-23T01:30:35.7103351Z del arg2_1 2022-11-23T01:30:35.7103432Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7103437Z 2022-11-23T01:30:35.7103470Z 2022-11-23T01:30:35.7103535Z if __name__ == "__main__": 2022-11-23T01:30:35.7103649Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7103774Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7103978Z arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7104171Z arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7104363Z arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7104482Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7104487Z 2022-11-23T01:30:35.7104552Z ok (1.550s) 2022-11-23T01:30:35.7104840Z test_index1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7105190Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7105404Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7105656Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7105930Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7106244Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7106589Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7106914Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7107285Z [2022-11-23 01:24:47,305] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7107380Z 2813 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7107460Z 2 LOAD_METHOD 1 (index) 2022-11-23T01:30:35.7107549Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7107635Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7107721Z 8 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7107806Z 10 BUILD_LIST 2 2022-11-23T01:30:35.7107891Z 12 CALL_METHOD 2 2022-11-23T01:30:35.7107967Z 14 RETURN_VALUE 2022-11-23T01:30:35.7108018Z 2022-11-23T01:30:35.7108023Z 2022-11-23T01:30:35.7108338Z [2022-11-23 01:24:47,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813 2022-11-23T01:30:35.7108551Z [2022-11-23 01:24:47,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7108858Z [2022-11-23 01:24:47,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:30:35.7109107Z [2022-11-23 01:24:47,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)] 2022-11-23T01:30:35.7109385Z [2022-11-23 01:24:47,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:30:35.7109688Z [2022-11-23 01:24:47,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7110025Z [2022-11-23 01:24:47,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7110361Z [2022-11-23 01:24:47,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7110607Z [2022-11-23 01:24:47,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7110982Z [2022-11-23 01:24:47,313] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7111214Z [2022-11-23 01:24:47,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7111444Z [2022-11-23 01:24:47,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7111728Z [2022-11-23 01:24:47,314] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7111976Z [2022-11-23 01:24:47,317] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7112163Z [2022-11-23 01:24:47,317] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7112295Z __compiled_fn_191 .1610 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7112382Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7112466Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7112537Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7112656Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {} 2022-11-23T01:30:35.7112752Z output, output, output, ((index,),), {} 2022-11-23T01:30:35.7112757Z 2022-11-23T01:30:35.7113084Z [2022-11-23 01:24:47,318] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7113178Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7113268Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7113354Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7113444Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7113515Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7113602Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7113678Z 12 RETURN_VALUE 2022-11-23T01:30:35.7113683Z 2022-11-23T01:30:35.7113742Z 2022-11-23T01:30:35.7114066Z [2022-11-23 01:24:47,318] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7114170Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_191) 2022-11-23T01:30:35.7114275Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7114395Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7114495Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7114606Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7114695Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7114768Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7114853Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7114937Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7115011Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7115086Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7115175Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7115247Z 24 RETURN_VALUE 2022-11-23T01:30:35.7115252Z 2022-11-23T01:30:35.7115311Z 2022-11-23T01:30:35.7115495Z [2022-11-23 01:24:47,319] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7115565Z - 2022-11-23T01:30:35.7115684Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7115734Z { 2022-11-23T01:30:35.7115874Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7116060Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7116220Z 'obj_weakref': None 2022-11-23T01:30:35.7116446Z 'guarded_class': 2022-11-23T01:30:35.7116508Z } 2022-11-23T01:30:35.7116568Z 2022-11-23T01:30:35.7116624Z - 2022-11-23T01:30:35.7116746Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7116808Z { 2022-11-23T01:30:35.7116949Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7117052Z 'code': None, 2022-11-23T01:30:35.7117265Z 'obj_weakref': 2022-11-23T01:30:35.7117514Z 'guarded_class': 2022-11-23T01:30:35.7117565Z } 2022-11-23T01:30:35.7117655Z 2022-11-23T01:30:35.7117725Z - 2022-11-23T01:30:35.7117847Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7117909Z { 2022-11-23T01:30:35.7118052Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7118159Z 'code': None, 2022-11-23T01:30:35.7118352Z 'obj_weakref': 2022-11-23T01:30:35.7118597Z 'guarded_class': 2022-11-23T01:30:35.7118661Z } 2022-11-23T01:30:35.7118723Z 2022-11-23T01:30:35.7118790Z - 2022-11-23T01:30:35.7118909Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7118970Z { 2022-11-23T01:30:35.7119096Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7119199Z 'code': None, 2022-11-23T01:30:35.7119399Z 'obj_weakref': 2022-11-23T01:30:35.7119645Z 'guarded_class': 2022-11-23T01:30:35.7119709Z } 2022-11-23T01:30:35.7119770Z 2022-11-23T01:30:35.7119837Z - 2022-11-23T01:30:35.7119954Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7120134Z { 2022-11-23T01:30:35.7120269Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7120439Z 'code': ['___check_obj_id(model, 140534431374288)'], 2022-11-23T01:30:35.7120556Z 'obj_weakref': None 2022-11-23T01:30:35.7120788Z 'guarded_class': 2022-11-23T01:30:35.7120850Z } 2022-11-23T01:30:35.7120899Z 2022-11-23T01:30:35.7120968Z - 2022-11-23T01:30:35.7121087Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7121150Z { 2022-11-23T01:30:35.7121287Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7121502Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7121621Z 'obj_weakref': None 2022-11-23T01:30:35.7121830Z 'guarded_class': 2022-11-23T01:30:35.7121891Z } 2022-11-23T01:30:35.7121953Z 2022-11-23T01:30:35.7122024Z - 2022-11-23T01:30:35.7122153Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.7122215Z { 2022-11-23T01:30:35.7122330Z 'guard_types': None, 2022-11-23T01:30:35.7122422Z 'code': None, 2022-11-23T01:30:35.7122536Z 'obj_weakref': None 2022-11-23T01:30:35.7122654Z 'guarded_class': None 2022-11-23T01:30:35.7122714Z } 2022-11-23T01:30:35.7122776Z 2022-11-23T01:30:35.7123035Z [2022-11-23 01:24:47,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190 2022-11-23T01:30:35.7123433Z [2022-11-23 01:24:48,766] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gzjahkpcij6cby2fzljxdrxo353cayj23in25e7wollj5fpoum.py 2022-11-23T01:30:35.7123685Z [2022-11-23 01:24:48,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190 2022-11-23T01:30:35.7123920Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7124231Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7124447Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7124696Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7125061Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7125540Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7125887Z [2022-11-23 01:24:48,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7126217Z [2022-11-23 01:24:48,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7126592Z [2022-11-23 01:24:48,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7126675Z 2813 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7126765Z 2 LOAD_METHOD 1 (index) 2022-11-23T01:30:35.7126856Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7126947Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7127036Z 8 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7127118Z 10 BUILD_LIST 2 2022-11-23T01:30:35.7127208Z 12 CALL_METHOD 2 2022-11-23T01:30:35.7127284Z 14 RETURN_VALUE 2022-11-23T01:30:35.7127344Z 2022-11-23T01:30:35.7127349Z 2022-11-23T01:30:35.7127661Z [2022-11-23 01:24:48,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813 2022-11-23T01:30:35.7127864Z [2022-11-23 01:24:48,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7128167Z [2022-11-23 01:24:48,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:30:35.7128420Z [2022-11-23 01:24:48,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)] 2022-11-23T01:30:35.7128701Z [2022-11-23 01:24:48,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:30:35.7129008Z [2022-11-23 01:24:48,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7129341Z [2022-11-23 01:24:48,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7129645Z [2022-11-23 01:24:48,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7129889Z [2022-11-23 01:24:48,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7130267Z [2022-11-23 01:24:48,780] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7130560Z [2022-11-23 01:24:48,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7130798Z [2022-11-23 01:24:48,780] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7131039Z [2022-11-23 01:24:48,781] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7131286Z [2022-11-23 01:24:48,784] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7131471Z [2022-11-23 01:24:48,784] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7131603Z __compiled_fn_192 .1616 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7131691Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7131806Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7131891Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7132009Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {} 2022-11-23T01:30:35.7132094Z output, output, output, ((index,),), {} 2022-11-23T01:30:35.7132100Z 2022-11-23T01:30:35.7132424Z [2022-11-23 01:24:48,785] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7132516Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7132606Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7132691Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7132781Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7132864Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7132940Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7133015Z 12 RETURN_VALUE 2022-11-23T01:30:35.7133020Z 2022-11-23T01:30:35.7133081Z 2022-11-23T01:30:35.7133405Z [2022-11-23 01:24:48,785] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7133515Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_192) 2022-11-23T01:30:35.7133605Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7133692Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7133767Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7133842Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7133928Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7134001Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7134085Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7134169Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7134243Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7134329Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7134408Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7134482Z 24 RETURN_VALUE 2022-11-23T01:30:35.7134487Z 2022-11-23T01:30:35.7134546Z 2022-11-23T01:30:35.7134729Z [2022-11-23 01:24:48,786] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7134799Z - 2022-11-23T01:30:35.7134916Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7134979Z { 2022-11-23T01:30:35.7135106Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7135295Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7135415Z 'obj_weakref': None 2022-11-23T01:30:35.7135640Z 'guarded_class': 2022-11-23T01:30:35.7135704Z } 2022-11-23T01:30:35.7135765Z 2022-11-23T01:30:35.7135834Z - 2022-11-23T01:30:35.7135944Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7136007Z { 2022-11-23T01:30:35.7136150Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7136255Z 'code': None, 2022-11-23T01:30:35.7136494Z 'obj_weakref': 2022-11-23T01:30:35.7136747Z 'guarded_class': 2022-11-23T01:30:35.7136809Z } 2022-11-23T01:30:35.7136860Z 2022-11-23T01:30:35.7136927Z - 2022-11-23T01:30:35.7137048Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7137110Z { 2022-11-23T01:30:35.7137251Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7137353Z 'code': None, 2022-11-23T01:30:35.7137559Z 'obj_weakref': 2022-11-23T01:30:35.7137797Z 'guarded_class': 2022-11-23T01:30:35.7137887Z } 2022-11-23T01:30:35.7137949Z 2022-11-23T01:30:35.7138017Z - 2022-11-23T01:30:35.7138139Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7138203Z { 2022-11-23T01:30:35.7138342Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7138433Z 'code': None, 2022-11-23T01:30:35.7138636Z 'obj_weakref': 2022-11-23T01:30:35.7138880Z 'guarded_class': 2022-11-23T01:30:35.7138942Z } 2022-11-23T01:30:35.7139003Z 2022-11-23T01:30:35.7139070Z - 2022-11-23T01:30:35.7139200Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7139250Z { 2022-11-23T01:30:35.7139383Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7139551Z 'code': ['___check_obj_id(model, 140534431374288)'], 2022-11-23T01:30:35.7139671Z 'obj_weakref': None 2022-11-23T01:30:35.7139900Z 'guarded_class': 2022-11-23T01:30:35.7139966Z } 2022-11-23T01:30:35.7140029Z 2022-11-23T01:30:35.7140085Z - 2022-11-23T01:30:35.7140207Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7140269Z { 2022-11-23T01:30:35.7140406Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7140624Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7140741Z 'obj_weakref': None 2022-11-23T01:30:35.7140962Z 'guarded_class': 2022-11-23T01:30:35.7141011Z } 2022-11-23T01:30:35.7141075Z 2022-11-23T01:30:35.7141143Z - 2022-11-23T01:30:35.7141274Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.7141339Z { 2022-11-23T01:30:35.7141456Z 'guard_types': None, 2022-11-23T01:30:35.7141559Z 'code': None, 2022-11-23T01:30:35.7141666Z 'obj_weakref': None 2022-11-23T01:30:35.7141787Z 'guarded_class': None 2022-11-23T01:30:35.7141849Z } 2022-11-23T01:30:35.7141911Z 2022-11-23T01:30:35.7142173Z [2022-11-23 01:24:48,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191 2022-11-23T01:30:35.7142538Z [2022-11-23 01:24:50,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ji/cjim2zmdvumi5jbovwb3pnrsa3233yy4b6ddhd5ydetlxjqpj33u.py 2022-11-23T01:30:35.7142800Z [2022-11-23 01:24:50,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191 2022-11-23T01:30:35.7142806Z 2022-11-23T01:30:35.7142898Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7142954Z import torch 2022-11-23T01:30:35.7143024Z import random 2022-11-23T01:30:35.7143140Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7143260Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7143265Z 2022-11-23T01:30:35.7143372Z aten = torch.ops.aten 2022-11-23T01:30:35.7143504Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7143596Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7143601Z 2022-11-23T01:30:35.7143606Z 2022-11-23T01:30:35.7143739Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7143931Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7144049Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.7144151Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.7144257Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7144355Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7144446Z { 2022-11-23T01:30:35.7144547Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7144596Z { 2022-11-23T01:30:35.7144674Z #pragma omp for 2022-11-23T01:30:35.7144757Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.7144823Z { 2022-11-23T01:30:35.7144902Z #pragma GCC ivdep 2022-11-23T01:30:35.7144986Z for(long i1=0; i1<12; i1+=1) 2022-11-23T01:30:35.7145048Z { 2022-11-23T01:30:35.7145100Z { 2022-11-23T01:30:35.7145166Z { 2022-11-23T01:30:35.7145261Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7145355Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.7145465Z auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)]; 2022-11-23T01:30:35.7145557Z out_ptr0[i1 + (12*i0)] = tmp2; 2022-11-23T01:30:35.7145627Z } 2022-11-23T01:30:35.7145680Z } 2022-11-23T01:30:35.7145743Z } 2022-11-23T01:30:35.7145806Z } 2022-11-23T01:30:35.7145865Z } 2022-11-23T01:30:35.7145925Z } 2022-11-23T01:30:35.7146003Z ''') 2022-11-23T01:30:35.7146008Z 2022-11-23T01:30:35.7146012Z 2022-11-23T01:30:35.7146103Z async_compile.wait(globals()) 2022-11-23T01:30:35.7146162Z del async_compile 2022-11-23T01:30:35.7146166Z 2022-11-23T01:30:35.7146235Z def call(args): 2022-11-23T01:30:35.7146316Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7146388Z args.clear() 2022-11-23T01:30:35.7146586Z buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7146773Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7146840Z del arg0_1 2022-11-23T01:30:35.7146894Z del arg1_1 2022-11-23T01:30:35.7146959Z del arg2_1 2022-11-23T01:30:35.7147031Z return (buf0, ) 2022-11-23T01:30:35.7147035Z 2022-11-23T01:30:35.7147039Z 2022-11-23T01:30:35.7147115Z if __name__ == "__main__": 2022-11-23T01:30:35.7147232Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7147355Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7147563Z arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7147749Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7147921Z arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7148040Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7148045Z 2022-11-23T01:30:35.7148049Z 2022-11-23T01:30:35.7148141Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7148211Z import torch 2022-11-23T01:30:35.7148281Z import random 2022-11-23T01:30:35.7148395Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7148514Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7148519Z 2022-11-23T01:30:35.7148599Z aten = torch.ops.aten 2022-11-23T01:30:35.7148719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7148810Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7148814Z 2022-11-23T01:30:35.7148845Z 2022-11-23T01:30:35.7148979Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7149183Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7149300Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.7149401Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.7149504Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7149602Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7149650Z { 2022-11-23T01:30:35.7149746Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7149808Z { 2022-11-23T01:30:35.7149883Z #pragma omp for 2022-11-23T01:30:35.7149962Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.7150054Z { 2022-11-23T01:30:35.7150120Z #pragma GCC ivdep 2022-11-23T01:30:35.7150203Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.7150266Z { 2022-11-23T01:30:35.7150348Z #pragma GCC ivdep 2022-11-23T01:30:35.7150438Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:30:35.7150501Z { 2022-11-23T01:30:35.7150566Z { 2022-11-23T01:30:35.7150622Z { 2022-11-23T01:30:35.7150717Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.7150809Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.7150921Z auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)]; 2022-11-23T01:30:35.7151026Z out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2; 2022-11-23T01:30:35.7151094Z } 2022-11-23T01:30:35.7151159Z } 2022-11-23T01:30:35.7151210Z } 2022-11-23T01:30:35.7151274Z } 2022-11-23T01:30:35.7151335Z } 2022-11-23T01:30:35.7151395Z } 2022-11-23T01:30:35.7151454Z } 2022-11-23T01:30:35.7151531Z ''') 2022-11-23T01:30:35.7151536Z 2022-11-23T01:30:35.7151542Z 2022-11-23T01:30:35.7151631Z async_compile.wait(globals()) 2022-11-23T01:30:35.7151690Z del async_compile 2022-11-23T01:30:35.7151707Z 2022-11-23T01:30:35.7151766Z def call(args): 2022-11-23T01:30:35.7151845Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7151914Z args.clear() 2022-11-23T01:30:35.7152119Z buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7152307Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7152374Z del arg0_1 2022-11-23T01:30:35.7152438Z del arg1_1 2022-11-23T01:30:35.7152491Z del arg2_1 2022-11-23T01:30:35.7152560Z return (buf0, ) 2022-11-23T01:30:35.7152566Z 2022-11-23T01:30:35.7152572Z 2022-11-23T01:30:35.7152647Z if __name__ == "__main__": 2022-11-23T01:30:35.7152760Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7152884Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7153089Z arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7153278Z arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7153453Z arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7153572Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7153577Z 2022-11-23T01:30:35.7153642Z ok (3.013s) 2022-11-23T01:30:35.7153948Z test_index2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:50,318] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7154264Z [2022-11-23 01:24:50,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7154482Z [2022-11-23 01:24:50,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7154763Z [2022-11-23 01:24:50,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7155041Z [2022-11-23 01:24:50,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7155363Z [2022-11-23 01:24:50,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7155708Z [2022-11-23 01:24:50,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7156016Z [2022-11-23 01:24:50,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7156419Z [2022-11-23 01:24:50,319] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7156514Z 2835 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7156605Z 2 LOAD_METHOD 1 (index) 2022-11-23T01:30:35.7156696Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7156785Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7156871Z 8 BUILD_LIST 1 2022-11-23T01:30:35.7156957Z 10 CALL_METHOD 2 2022-11-23T01:30:35.7156962Z 2022-11-23T01:30:35.7157041Z 2836 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7157131Z 14 LOAD_METHOD 1 (index) 2022-11-23T01:30:35.7157216Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7157306Z 18 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7157394Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7157479Z 22 BUILD_LIST 2 2022-11-23T01:30:35.7157565Z 24 CALL_METHOD 2 2022-11-23T01:30:35.7157569Z 2022-11-23T01:30:35.7157653Z 2834 26 BUILD_TUPLE 2 2022-11-23T01:30:35.7157716Z 28 RETURN_VALUE 2022-11-23T01:30:35.7157778Z 2022-11-23T01:30:35.7157782Z 2022-11-23T01:30:35.7158095Z [2022-11-23 01:24:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2835 2022-11-23T01:30:35.7158309Z [2022-11-23 01:24:50,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7158614Z [2022-11-23 01:24:50,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:30:35.7158863Z [2022-11-23 01:24:50,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)] 2022-11-23T01:30:35.7159142Z [2022-11-23 01:24:50,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:30:35.7159452Z [2022-11-23 01:24:50,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7159757Z [2022-11-23 01:24:50,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7160138Z [2022-11-23 01:24:50,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2836 2022-11-23T01:30:35.7160384Z [2022-11-23 01:24:50,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.7160716Z [2022-11-23 01:24:50,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7161036Z [2022-11-23 01:24:50,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)] 2022-11-23T01:30:35.7161346Z [2022-11-23 01:24:50,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:30:35.7161699Z [2022-11-23 01:24:50,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7162088Z [2022-11-23 01:24:50,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:30:35.7162426Z [2022-11-23 01:24:50,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7162763Z [2022-11-23 01:24:50,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2834 2022-11-23T01:30:35.7163033Z [2022-11-23 01:24:50,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7163278Z [2022-11-23 01:24:50,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7163653Z [2022-11-23 01:24:50,339] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7163882Z [2022-11-23 01:24:50,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7164115Z [2022-11-23 01:24:50,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7164367Z [2022-11-23 01:24:50,340] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7164618Z [2022-11-23 01:24:50,346] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7164920Z [2022-11-23 01:24:50,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7165056Z __compiled_fn_193 .1622 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7165145Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7165230Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7165330Z call_function, index, aten.index, (ex_0_, [ex_1_]), {} 2022-11-23T01:30:35.7165452Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {} 2022-11-23T01:30:35.7165557Z output, output, output, ((index, index_1),), {} 2022-11-23T01:30:35.7165563Z 2022-11-23T01:30:35.7165889Z [2022-11-23 01:24:50,347] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7165986Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7166075Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7166162Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7166256Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7166327Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7166415Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7166491Z 12 RETURN_VALUE 2022-11-23T01:30:35.7166496Z 2022-11-23T01:30:35.7166556Z 2022-11-23T01:30:35.7166880Z [2022-11-23 01:24:50,347] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7166986Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_193) 2022-11-23T01:30:35.7167073Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7167160Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7167226Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7167313Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7167400Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7167524Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7167613Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.7167715Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7167815Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7167890Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7167963Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7168062Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7168149Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7168222Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7168308Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.7168382Z 32 RETURN_VALUE 2022-11-23T01:30:35.7168434Z 2022-11-23T01:30:35.7168482Z 2022-11-23T01:30:35.7168664Z [2022-11-23 01:24:50,348] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7168734Z - 2022-11-23T01:30:35.7168853Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7168918Z { 2022-11-23T01:30:35.7169057Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7169240Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.7169346Z 'obj_weakref': None 2022-11-23T01:30:35.7169572Z 'guarded_class': 2022-11-23T01:30:35.7169636Z } 2022-11-23T01:30:35.7169698Z 2022-11-23T01:30:35.7169767Z - 2022-11-23T01:30:35.7169889Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7169951Z { 2022-11-23T01:30:35.7170079Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7170185Z 'code': None, 2022-11-23T01:30:35.7170400Z 'obj_weakref': 2022-11-23T01:30:35.7170654Z 'guarded_class': 2022-11-23T01:30:35.7170717Z } 2022-11-23T01:30:35.7170780Z 2022-11-23T01:30:35.7170849Z - 2022-11-23T01:30:35.7170959Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7171022Z { 2022-11-23T01:30:35.7171160Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7171265Z 'code': None, 2022-11-23T01:30:35.7171472Z 'obj_weakref': 2022-11-23T01:30:35.7171719Z 'guarded_class': 2022-11-23T01:30:35.7171782Z } 2022-11-23T01:30:35.7171833Z 2022-11-23T01:30:35.7171902Z - 2022-11-23T01:30:35.7172033Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7172098Z { 2022-11-23T01:30:35.7172230Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7172399Z 'code': ['___check_obj_id(model, 140534625216992)'], 2022-11-23T01:30:35.7172516Z 'obj_weakref': None 2022-11-23T01:30:35.7172732Z 'guarded_class': 2022-11-23T01:30:35.7172795Z } 2022-11-23T01:30:35.7172857Z 2022-11-23T01:30:35.7172925Z - 2022-11-23T01:30:35.7173044Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7173105Z { 2022-11-23T01:30:35.7173238Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7173444Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7173562Z 'obj_weakref': None 2022-11-23T01:30:35.7173781Z 'guarded_class': 2022-11-23T01:30:35.7173847Z } 2022-11-23T01:30:35.7173909Z 2022-11-23T01:30:35.7173977Z - 2022-11-23T01:30:35.7174138Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.7174189Z { 2022-11-23T01:30:35.7174308Z 'guard_types': None, 2022-11-23T01:30:35.7174413Z 'code': None, 2022-11-23T01:30:35.7174529Z 'obj_weakref': None 2022-11-23T01:30:35.7174650Z 'guarded_class': None 2022-11-23T01:30:35.7174711Z } 2022-11-23T01:30:35.7174773Z 2022-11-23T01:30:35.7175021Z [2022-11-23 01:24:50,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192 2022-11-23T01:30:35.7175385Z [2022-11-23 01:24:51,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfentos47at3sl3md3k3h5gyp3immyfcrb4kd3pcdomddzcxzg4o.py 2022-11-23T01:30:35.7175647Z [2022-11-23 01:24:51,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192 2022-11-23T01:30:35.7175682Z 2022-11-23T01:30:35.7175774Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7175845Z import torch 2022-11-23T01:30:35.7175914Z import random 2022-11-23T01:30:35.7176027Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7176145Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7176150Z 2022-11-23T01:30:35.7176216Z aten = torch.ops.aten 2022-11-23T01:30:35.7176348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7176439Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7176444Z 2022-11-23T01:30:35.7176449Z 2022-11-23T01:30:35.7176580Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7176786Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7176901Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.7177005Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7177104Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7177190Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.7177250Z { 2022-11-23T01:30:35.7177348Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7177410Z { 2022-11-23T01:30:35.7177485Z #pragma omp for 2022-11-23T01:30:35.7177568Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.7177630Z { 2022-11-23T01:30:35.7177696Z #pragma GCC ivdep 2022-11-23T01:30:35.7177779Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:35.7177844Z { 2022-11-23T01:30:35.7177907Z { 2022-11-23T01:30:35.7177972Z { 2022-11-23T01:30:35.7178065Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7178158Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:30:35.7178254Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:30:35.7178321Z } 2022-11-23T01:30:35.7178386Z } 2022-11-23T01:30:35.7178450Z } 2022-11-23T01:30:35.7178510Z } 2022-11-23T01:30:35.7178590Z #pragma omp for 2022-11-23T01:30:35.7178656Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7178720Z { 2022-11-23T01:30:35.7178798Z #pragma GCC ivdep 2022-11-23T01:30:35.7178879Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.7178942Z { 2022-11-23T01:30:35.7179021Z #pragma GCC ivdep 2022-11-23T01:30:35.7179107Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:30:35.7179159Z { 2022-11-23T01:30:35.7179225Z { 2022-11-23T01:30:35.7179292Z { 2022-11-23T01:30:35.7179391Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.7179499Z auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)]; 2022-11-23T01:30:35.7179606Z out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1; 2022-11-23T01:30:35.7179673Z } 2022-11-23T01:30:35.7179725Z } 2022-11-23T01:30:35.7179832Z } 2022-11-23T01:30:35.7179897Z } 2022-11-23T01:30:35.7179960Z } 2022-11-23T01:30:35.7180022Z } 2022-11-23T01:30:35.7180082Z } 2022-11-23T01:30:35.7180148Z ''') 2022-11-23T01:30:35.7180166Z 2022-11-23T01:30:35.7180170Z 2022-11-23T01:30:35.7180247Z async_compile.wait(globals()) 2022-11-23T01:30:35.7180320Z del async_compile 2022-11-23T01:30:35.7180325Z 2022-11-23T01:30:35.7180396Z def call(args): 2022-11-23T01:30:35.7180469Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.7180541Z args.clear() 2022-11-23T01:30:35.7180755Z buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7180963Z buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7181139Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.7181238Z del arg0_1 2022-11-23T01:30:35.7181304Z del arg1_1 2022-11-23T01:30:35.7181382Z return (buf0, buf1, ) 2022-11-23T01:30:35.7181387Z 2022-11-23T01:30:35.7181391Z 2022-11-23T01:30:35.7181465Z if __name__ == "__main__": 2022-11-23T01:30:35.7181579Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7181700Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7181902Z arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7182078Z arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7182193Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.7182198Z 2022-11-23T01:30:35.7182264Z ok (1.557s) 2022-11-23T01:30:35.7182575Z test_index_put1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7182898Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7183114Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7183366Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7183641Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7183960Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7184307Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7184618Z [2022-11-23 01:24:52,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7184994Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7185090Z 3450 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7185189Z 2 LOAD_METHOD 1 (index_put) 2022-11-23T01:30:35.7185281Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7185369Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7185455Z 8 BUILD_LIST 1 2022-11-23T01:30:35.7185542Z 10 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7185615Z 12 CALL_METHOD 3 2022-11-23T01:30:35.7185620Z 2022-11-23T01:30:35.7185716Z 3451 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7185814Z 16 LOAD_METHOD 2 (index_put_) 2022-11-23T01:30:35.7185936Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7186023Z 20 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7186096Z 22 BINARY_ADD 2022-11-23T01:30:35.7186182Z 24 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7186254Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7186327Z 28 BINARY_ADD 2022-11-23T01:30:35.7186413Z 30 BUILD_LIST 1 2022-11-23T01:30:35.7186500Z 32 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7186585Z 34 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7186656Z 36 BINARY_ADD 2022-11-23T01:30:35.7186741Z 38 CALL_METHOD 3 2022-11-23T01:30:35.7186813Z 40 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7186912Z 42 BINARY_ADD 2022-11-23T01:30:35.7186917Z 2022-11-23T01:30:35.7187004Z 3449 44 BUILD_TUPLE 2 2022-11-23T01:30:35.7187079Z 46 RETURN_VALUE 2022-11-23T01:30:35.7187142Z 2022-11-23T01:30:35.7187147Z 2022-11-23T01:30:35.7187463Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450 2022-11-23T01:30:35.7187680Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7188055Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable()] 2022-11-23T01:30:35.7188383Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7188736Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7189114Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7189489Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7189903Z [2022-11-23 01:24:52,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7190215Z [2022-11-23 01:24:52,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451 2022-11-23T01:30:35.7190464Z [2022-11-23 01:24:52,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.7190865Z [2022-11-23 01:24:52,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7191221Z [2022-11-23 01:24:52,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7191605Z [2022-11-23 01:24:52,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7192032Z [2022-11-23 01:24:52,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7192444Z [2022-11-23 01:24:52,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7192856Z [2022-11-23 01:24:52,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7193310Z [2022-11-23 01:24:52,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7193722Z [2022-11-23 01:24:52,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7194156Z [2022-11-23 01:24:52,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7194597Z [2022-11-23 01:24:52,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7195079Z [2022-11-23 01:24:52,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7195516Z [2022-11-23 01:24:52,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7195787Z [2022-11-23 01:24:52,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7196093Z [2022-11-23 01:24:52,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7196402Z [2022-11-23 01:24:52,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449 2022-11-23T01:30:35.7196668Z [2022-11-23 01:24:52,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7196913Z [2022-11-23 01:24:52,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7197289Z [2022-11-23 01:24:52,041] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7197534Z [2022-11-23 01:24:52,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7197768Z [2022-11-23 01:24:52,041] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7198021Z [2022-11-23 01:24:52,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7198253Z [2022-11-23 01:24:52,052] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7198440Z [2022-11-23 01:24:52,052] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7198574Z __compiled_fn_194 .1628 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7198662Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7198749Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7198836Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7199103Z call_function, index_put, , (ex_0_, [ex_1_], ex_2_), {} 2022-11-23T01:30:35.7199329Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.7199490Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:30:35.7199663Z call_function, add_2, , (ex_2_, 1), {} 2022-11-23T01:30:35.7199923Z call_function, index_put_, , (add, [add_1], add_2), {} 2022-11-23T01:30:35.7200194Z call_function, add_3, , (index_put_, 1), {} 2022-11-23T01:30:35.7200305Z output, output, output, ((index_put, add_3),), {} 2022-11-23T01:30:35.7200310Z 2022-11-23T01:30:35.7200639Z [2022-11-23 01:24:52,053] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7200731Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7200855Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7200928Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7201020Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7201103Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7201192Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7201267Z 12 RETURN_VALUE 2022-11-23T01:30:35.7201272Z 2022-11-23T01:30:35.7201333Z 2022-11-23T01:30:35.7201661Z [2022-11-23 01:24:52,053] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7201769Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_194) 2022-11-23T01:30:35.7201845Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7201934Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7202012Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7202099Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7202189Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7202263Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7202350Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7202423Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7202497Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7202583Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7202686Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7202785Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7202871Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7202944Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7203029Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7203116Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7203190Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7203277Z 36 BUILD_TUPLE 2 2022-11-23T01:30:35.7203353Z 38 RETURN_VALUE 2022-11-23T01:30:35.7203358Z 2022-11-23T01:30:35.7203419Z 2022-11-23T01:30:35.7203602Z [2022-11-23 01:24:52,053] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7203671Z - 2022-11-23T01:30:35.7203777Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7203840Z { 2022-11-23T01:30:35.7203979Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7204164Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7204282Z 'obj_weakref': None 2022-11-23T01:30:35.7204507Z 'guarded_class': 2022-11-23T01:30:35.7204569Z } 2022-11-23T01:30:35.7204619Z 2022-11-23T01:30:35.7204688Z - 2022-11-23T01:30:35.7204915Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7204979Z { 2022-11-23T01:30:35.7205126Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7205232Z 'code': None, 2022-11-23T01:30:35.7205488Z 'obj_weakref': 2022-11-23T01:30:35.7205731Z 'guarded_class': 2022-11-23T01:30:35.7205796Z } 2022-11-23T01:30:35.7205859Z 2022-11-23T01:30:35.7205928Z - 2022-11-23T01:30:35.7206049Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7206111Z { 2022-11-23T01:30:35.7206238Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7206343Z 'code': None, 2022-11-23T01:30:35.7206551Z 'obj_weakref': 2022-11-23T01:30:35.7206799Z 'guarded_class': 2022-11-23T01:30:35.7206898Z } 2022-11-23T01:30:35.7206961Z 2022-11-23T01:30:35.7207032Z - 2022-11-23T01:30:35.7207154Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7207204Z { 2022-11-23T01:30:35.7207344Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7207450Z 'code': None, 2022-11-23T01:30:35.7207653Z 'obj_weakref': 2022-11-23T01:30:35.7207898Z 'guarded_class': 2022-11-23T01:30:35.7207961Z } 2022-11-23T01:30:35.7208023Z 2022-11-23T01:30:35.7208079Z - 2022-11-23T01:30:35.7208208Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7208270Z { 2022-11-23T01:30:35.7208402Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7208569Z 'code': ['___check_obj_id(model, 140534642200720)'], 2022-11-23T01:30:35.7208690Z 'obj_weakref': None 2022-11-23T01:30:35.7208917Z 'guarded_class': 2022-11-23T01:30:35.7208969Z } 2022-11-23T01:30:35.7209031Z 2022-11-23T01:30:35.7209100Z - 2022-11-23T01:30:35.7209219Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7209281Z { 2022-11-23T01:30:35.7209413Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7209629Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7209734Z 'obj_weakref': None 2022-11-23T01:30:35.7209956Z 'guarded_class': 2022-11-23T01:30:35.7210018Z } 2022-11-23T01:30:35.7210085Z 2022-11-23T01:30:35.7210153Z - 2022-11-23T01:30:35.7210285Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7210349Z { 2022-11-23T01:30:35.7210456Z 'guard_types': None, 2022-11-23T01:30:35.7210560Z 'code': None, 2022-11-23T01:30:35.7210676Z 'obj_weakref': None 2022-11-23T01:30:35.7210798Z 'guarded_class': None 2022-11-23T01:30:35.7210859Z } 2022-11-23T01:30:35.7210921Z 2022-11-23T01:30:35.7211170Z [2022-11-23 01:24:52,063] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193 2022-11-23T01:30:35.7211540Z [2022-11-23 01:24:53,579] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6w4zktuafltipacnt3b5sn7lnsiglq7tmmj2l4sthvmgfpg6lyt.py 2022-11-23T01:30:35.7211804Z [2022-11-23 01:24:53,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193 2022-11-23T01:30:35.7212040Z [2022-11-23 01:24:54,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7212352Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7212598Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7212849Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7213125Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7213442Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7213787Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7214107Z [2022-11-23 01:24:54,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7214513Z [2022-11-23 01:24:54,037] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7214611Z 3450 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7214710Z 2 LOAD_METHOD 1 (index_put) 2022-11-23T01:30:35.7214803Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7214893Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7214978Z 8 BUILD_LIST 1 2022-11-23T01:30:35.7215064Z 10 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7215136Z 12 CALL_METHOD 3 2022-11-23T01:30:35.7215154Z 2022-11-23T01:30:35.7215234Z 3451 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7215335Z 16 LOAD_METHOD 2 (index_put_) 2022-11-23T01:30:35.7215426Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7215512Z 20 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7215586Z 22 BINARY_ADD 2022-11-23T01:30:35.7215672Z 24 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7215756Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7215815Z 28 BINARY_ADD 2022-11-23T01:30:35.7215900Z 30 BUILD_LIST 1 2022-11-23T01:30:35.7215987Z 32 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7216071Z 34 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7216145Z 36 BINARY_ADD 2022-11-23T01:30:35.7216230Z 38 CALL_METHOD 3 2022-11-23T01:30:35.7216315Z 40 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7216373Z 42 BINARY_ADD 2022-11-23T01:30:35.7216379Z 2022-11-23T01:30:35.7216465Z 3449 44 BUILD_TUPLE 2 2022-11-23T01:30:35.7216541Z 46 RETURN_VALUE 2022-11-23T01:30:35.7216600Z 2022-11-23T01:30:35.7216606Z 2022-11-23T01:30:35.7216924Z [2022-11-23 01:24:54,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450 2022-11-23T01:30:35.7217143Z [2022-11-23 01:24:54,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7217515Z [2022-11-23 01:24:54,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable()] 2022-11-23T01:30:35.7217843Z [2022-11-23 01:24:54,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7218194Z [2022-11-23 01:24:54,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7218603Z [2022-11-23 01:24:54,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7218972Z [2022-11-23 01:24:54,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7219386Z [2022-11-23 01:24:54,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7219703Z [2022-11-23 01:24:54,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451 2022-11-23T01:30:35.7219946Z [2022-11-23 01:24:54,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.7220390Z [2022-11-23 01:24:54,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7220747Z [2022-11-23 01:24:54,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7221132Z [2022-11-23 01:24:54,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7221561Z [2022-11-23 01:24:54,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7221944Z [2022-11-23 01:24:54,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7222359Z [2022-11-23 01:24:54,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7222814Z [2022-11-23 01:24:54,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7223219Z [2022-11-23 01:24:54,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7223625Z [2022-11-23 01:24:54,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7224065Z [2022-11-23 01:24:54,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7224546Z [2022-11-23 01:24:54,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7224995Z [2022-11-23 01:24:54,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7225248Z [2022-11-23 01:24:54,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7225583Z [2022-11-23 01:24:54,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7225894Z [2022-11-23 01:24:54,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449 2022-11-23T01:30:35.7226159Z [2022-11-23 01:24:54,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7226405Z [2022-11-23 01:24:54,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7226784Z [2022-11-23 01:24:54,048] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7227027Z [2022-11-23 01:24:54,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7227296Z [2022-11-23 01:24:54,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7227551Z [2022-11-23 01:24:54,050] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7227798Z [2022-11-23 01:24:54,056] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7227973Z [2022-11-23 01:24:54,057] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7228108Z __compiled_fn_195 .1634 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7228199Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7228285Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7228370Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7228633Z call_function, index_put, , (ex_0_, [ex_1_], ex_2_), {} 2022-11-23T01:30:35.7228806Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.7228978Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:30:35.7229139Z call_function, add_2, , (ex_2_, 1), {} 2022-11-23T01:30:35.7229401Z call_function, index_put_, , (add, [add_1], add_2), {} 2022-11-23T01:30:35.7229582Z call_function, add_3, , (index_put_, 1), {} 2022-11-23T01:30:35.7229692Z output, output, output, ((index_put, add_3),), {} 2022-11-23T01:30:35.7229698Z 2022-11-23T01:30:35.7230023Z [2022-11-23 01:24:54,057] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7230116Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7230206Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7230291Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7230372Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7230457Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7230546Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7230624Z 12 RETURN_VALUE 2022-11-23T01:30:35.7230629Z 2022-11-23T01:30:35.7230691Z 2022-11-23T01:30:35.7231017Z [2022-11-23 01:24:54,057] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7231124Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_195) 2022-11-23T01:30:35.7231213Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7231290Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7231365Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7231454Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7231541Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7231618Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7231705Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7231793Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7231883Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7231972Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7232080Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7232180Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7232269Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7232343Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7232442Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7232516Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7232591Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7232678Z 36 BUILD_TUPLE 2 2022-11-23T01:30:35.7232752Z 38 RETURN_VALUE 2022-11-23T01:30:35.7232757Z 2022-11-23T01:30:35.7232851Z 2022-11-23T01:30:35.7233035Z [2022-11-23 01:24:54,058] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7233106Z - 2022-11-23T01:30:35.7233212Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7233278Z { 2022-11-23T01:30:35.7233417Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7233605Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7233725Z 'obj_weakref': None 2022-11-23T01:30:35.7233948Z 'guarded_class': 2022-11-23T01:30:35.7234012Z } 2022-11-23T01:30:35.7234063Z 2022-11-23T01:30:35.7234133Z - 2022-11-23T01:30:35.7234258Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7234325Z { 2022-11-23T01:30:35.7234466Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7234572Z 'code': None, 2022-11-23T01:30:35.7234788Z 'obj_weakref': 2022-11-23T01:30:35.7235031Z 'guarded_class': 2022-11-23T01:30:35.7235096Z } 2022-11-23T01:30:35.7235158Z 2022-11-23T01:30:35.7235227Z - 2022-11-23T01:30:35.7235350Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7235413Z { 2022-11-23T01:30:35.7235553Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7235645Z 'code': None, 2022-11-23T01:30:35.7235853Z 'obj_weakref': 2022-11-23T01:30:35.7236099Z 'guarded_class': 2022-11-23T01:30:35.7236165Z } 2022-11-23T01:30:35.7236228Z 2022-11-23T01:30:35.7236296Z - 2022-11-23T01:30:35.7236419Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7236469Z { 2022-11-23T01:30:35.7236608Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7236715Z 'code': None, 2022-11-23T01:30:35.7236920Z 'obj_weakref': 2022-11-23T01:30:35.7237159Z 'guarded_class': 2022-11-23T01:30:35.7237221Z } 2022-11-23T01:30:35.7237284Z 2022-11-23T01:30:35.7237339Z - 2022-11-23T01:30:35.7237469Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7237532Z { 2022-11-23T01:30:35.7237664Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7237831Z 'code': ['___check_obj_id(model, 140534642200720)'], 2022-11-23T01:30:35.7237946Z 'obj_weakref': None 2022-11-23T01:30:35.7238172Z 'guarded_class': 2022-11-23T01:30:35.7238224Z } 2022-11-23T01:30:35.7238289Z 2022-11-23T01:30:35.7238357Z - 2022-11-23T01:30:35.7238507Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7238572Z { 2022-11-23T01:30:35.7238706Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7238924Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7239028Z 'obj_weakref': None 2022-11-23T01:30:35.7239249Z 'guarded_class': 2022-11-23T01:30:35.7239311Z } 2022-11-23T01:30:35.7239373Z 2022-11-23T01:30:35.7239440Z - 2022-11-23T01:30:35.7239571Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7239634Z { 2022-11-23T01:30:35.7239741Z 'guard_types': None, 2022-11-23T01:30:35.7239846Z 'code': None, 2022-11-23T01:30:35.7240059Z 'obj_weakref': None 2022-11-23T01:30:35.7240184Z 'guarded_class': None 2022-11-23T01:30:35.7240247Z } 2022-11-23T01:30:35.7240314Z 2022-11-23T01:30:35.7240574Z [2022-11-23 01:24:54,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194 2022-11-23T01:30:35.7240941Z [2022-11-23 01:24:55,530] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ru/cruarqpwtyzqgqwrev5vstoca4at3jzmmcyubaqb4f5g2fdsh4wm.py 2022-11-23T01:30:35.7241208Z [2022-11-23 01:24:55,530] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194 2022-11-23T01:30:35.7241213Z 2022-11-23T01:30:35.7241306Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7241374Z import torch 2022-11-23T01:30:35.7241442Z import random 2022-11-23T01:30:35.7241556Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7241676Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7241684Z 2022-11-23T01:30:35.7241762Z aten = torch.ops.aten 2022-11-23T01:30:35.7241883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7241977Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7241982Z 2022-11-23T01:30:35.7241986Z 2022-11-23T01:30:35.7242118Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7242321Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7242437Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7242540Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.7242642Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7242739Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7242821Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7242913Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7242978Z { 2022-11-23T01:30:35.7243074Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7243136Z { 2022-11-23T01:30:35.7243214Z #pragma omp for 2022-11-23T01:30:35.7243302Z for(long i0=0; i0<1254400; i0+=1) 2022-11-23T01:30:35.7243352Z { 2022-11-23T01:30:35.7243498Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7243632Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.7243716Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7243807Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7243895Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7243954Z } 2022-11-23T01:30:35.7244034Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7244125Z for(long i0=10035200; i0<10035200; i0+=1) 2022-11-23T01:30:35.7244186Z { 2022-11-23T01:30:35.7244268Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7244366Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.7244452Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7244531Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7244631Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.7244695Z } 2022-11-23T01:30:35.7244857Z #pragma omp for 2022-11-23T01:30:35.7244941Z for(long i0=0; i0<601; i0+=1) 2022-11-23T01:30:35.7245002Z { 2022-11-23T01:30:35.7245081Z #pragma GCC ivdep 2022-11-23T01:30:35.7245169Z for(long i1=0; i1<12544; i1+=1) 2022-11-23T01:30:35.7245220Z { 2022-11-23T01:30:35.7245283Z { 2022-11-23T01:30:35.7245349Z { 2022-11-23T01:30:35.7245445Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.7245548Z auto tmp1 = in_ptr2[i1 + (12544*i0)]; 2022-11-23T01:30:35.7245649Z auto tmp2 = static_cast(1); 2022-11-23T01:30:35.7245742Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.7245896Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.7245987Z auto tmp5 = tmp1 + tmp4; 2022-11-23T01:30:35.7246089Z out_ptr0[i1 + (12544*tmp0)] = tmp1; 2022-11-23T01:30:35.7246186Z out_ptr1[i1 + (12544*tmp3)] = tmp5; 2022-11-23T01:30:35.7246253Z } 2022-11-23T01:30:35.7246317Z } 2022-11-23T01:30:35.7246383Z } 2022-11-23T01:30:35.7246432Z } 2022-11-23T01:30:35.7246508Z #pragma omp for 2022-11-23T01:30:35.7246592Z for(long i0=0; i0<1254400; i0+=1) 2022-11-23T01:30:35.7246655Z { 2022-11-23T01:30:35.7246787Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7246919Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.7247003Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7247080Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.7247146Z } 2022-11-23T01:30:35.7247237Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7247327Z for(long i0=10035200; i0<10035200; i0+=1) 2022-11-23T01:30:35.7247391Z { 2022-11-23T01:30:35.7247474Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:35.7247571Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.7247642Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7247719Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:35.7247780Z } 2022-11-23T01:30:35.7247841Z } 2022-11-23T01:30:35.7247904Z } 2022-11-23T01:30:35.7247985Z ''') 2022-11-23T01:30:35.7247990Z 2022-11-23T01:30:35.7247994Z 2022-11-23T01:30:35.7248083Z async_compile.wait(globals()) 2022-11-23T01:30:35.7248143Z del async_compile 2022-11-23T01:30:35.7248148Z 2022-11-23T01:30:35.7248217Z def call(args): 2022-11-23T01:30:35.7248300Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7248370Z args.clear() 2022-11-23T01:30:35.7248595Z buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7248816Z buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7249034Z buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7249271Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.7249328Z del arg0_1 2022-11-23T01:30:35.7249394Z del arg1_1 2022-11-23T01:30:35.7249458Z del arg2_1 2022-11-23T01:30:35.7249534Z return (buf0, buf4, ) 2022-11-23T01:30:35.7249538Z 2022-11-23T01:30:35.7249543Z 2022-11-23T01:30:35.7249618Z if __name__ == "__main__": 2022-11-23T01:30:35.7249731Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7249854Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7250076Z arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7250291Z arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7250512Z arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7250633Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7250638Z 2022-11-23T01:30:35.7250641Z 2022-11-23T01:30:35.7250736Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7250806Z import torch 2022-11-23T01:30:35.7250875Z import random 2022-11-23T01:30:35.7250988Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7251106Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7251110Z 2022-11-23T01:30:35.7251174Z aten = torch.ops.aten 2022-11-23T01:30:35.7251305Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7251424Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7251429Z 2022-11-23T01:30:35.7251433Z 2022-11-23T01:30:35.7251566Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7251770Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7251887Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7251990Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.7252093Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7252179Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7252274Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7252370Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7252430Z { 2022-11-23T01:30:35.7252526Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7252587Z { 2022-11-23T01:30:35.7252663Z #pragma omp for 2022-11-23T01:30:35.7252735Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.7252796Z { 2022-11-23T01:30:35.7252927Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7253060Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.7253144Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7253235Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7253321Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7253370Z } 2022-11-23T01:30:35.7253467Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7253554Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:30:35.7253615Z { 2022-11-23T01:30:35.7253696Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7253794Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.7253877Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7253944Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7254022Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.7254085Z } 2022-11-23T01:30:35.7254160Z #pragma omp for 2022-11-23T01:30:35.7254242Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.7254304Z { 2022-11-23T01:30:35.7254382Z #pragma GCC ivdep 2022-11-23T01:30:35.7254450Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.7254512Z { 2022-11-23T01:30:35.7254575Z { 2022-11-23T01:30:35.7254640Z { 2022-11-23T01:30:35.7254731Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.7254824Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:30:35.7254912Z auto tmp2 = static_cast(1); 2022-11-23T01:30:35.7255003Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.7255107Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.7255198Z auto tmp5 = tmp1 + tmp4; 2022-11-23T01:30:35.7255294Z out_ptr0[i1 + (8*tmp0)] = tmp1; 2022-11-23T01:30:35.7255393Z out_ptr1[i1 + (8*tmp3)] = tmp5; 2022-11-23T01:30:35.7255459Z } 2022-11-23T01:30:35.7255549Z } 2022-11-23T01:30:35.7255601Z } 2022-11-23T01:30:35.7255661Z } 2022-11-23T01:30:35.7255738Z #pragma omp for 2022-11-23T01:30:35.7255820Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.7255881Z { 2022-11-23T01:30:35.7256011Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7256141Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.7256213Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7256302Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.7256366Z } 2022-11-23T01:30:35.7256462Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7256546Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:30:35.7256607Z { 2022-11-23T01:30:35.7256725Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:35.7256822Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.7256905Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7256986Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:35.7257046Z } 2022-11-23T01:30:35.7257107Z } 2022-11-23T01:30:35.7257167Z } 2022-11-23T01:30:35.7257235Z ''') 2022-11-23T01:30:35.7257240Z 2022-11-23T01:30:35.7257257Z 2022-11-23T01:30:35.7257332Z async_compile.wait(globals()) 2022-11-23T01:30:35.7257402Z del async_compile 2022-11-23T01:30:35.7257407Z 2022-11-23T01:30:35.7257476Z def call(args): 2022-11-23T01:30:35.7257556Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7257626Z args.clear() 2022-11-23T01:30:35.7257833Z buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7258035Z buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7258219Z buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7258459Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.7258529Z del arg0_1 2022-11-23T01:30:35.7258594Z del arg1_1 2022-11-23T01:30:35.7258659Z del arg2_1 2022-11-23T01:30:35.7258736Z return (buf0, buf4, ) 2022-11-23T01:30:35.7258741Z 2022-11-23T01:30:35.7258745Z 2022-11-23T01:30:35.7258834Z if __name__ == "__main__": 2022-11-23T01:30:35.7258948Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7259059Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7259262Z arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7259503Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7259702Z arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7259826Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7259831Z 2022-11-23T01:30:35.7259898Z ok (3.662s) 2022-11-23T01:30:35.7260207Z test_index_put2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7260522Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7260726Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7260982Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7261260Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7261581Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7261957Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7262286Z [2022-11-23 01:24:55,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7262665Z [2022-11-23 01:24:55,644] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7262762Z 3468 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7262868Z 2 LOAD_METHOD 1 (index_put) 2022-11-23T01:30:35.7262958Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7263062Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7263151Z 8 BUILD_LIST 1 2022-11-23T01:30:35.7263237Z 10 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7263331Z 12 LOAD_CONST 1 (True) 2022-11-23T01:30:35.7263418Z 14 CALL_METHOD 4 2022-11-23T01:30:35.7263493Z 16 RETURN_VALUE 2022-11-23T01:30:35.7263554Z 2022-11-23T01:30:35.7263558Z 2022-11-23T01:30:35.7263863Z [2022-11-23 01:24:55,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3468 2022-11-23T01:30:35.7264080Z [2022-11-23 01:24:55,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7264453Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable()] 2022-11-23T01:30:35.7264783Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7265138Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7265524Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7265902Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7266316Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7266776Z [2022-11-23 01:24:55,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7267022Z [2022-11-23 01:24:55,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7267403Z [2022-11-23 01:24:55,648] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7267648Z [2022-11-23 01:24:55,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7267883Z [2022-11-23 01:24:55,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7268124Z [2022-11-23 01:24:55,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7268407Z [2022-11-23 01:24:55,655] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7268596Z [2022-11-23 01:24:55,655] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7268729Z __compiled_fn_196 .1640 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7268820Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7268905Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7268989Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7269259Z call_function, index_put, , (ex_0_, [ex_1_], ex_2_, True), {} 2022-11-23T01:30:35.7269351Z output, output, output, ((index_put,),), {} 2022-11-23T01:30:35.7269356Z 2022-11-23T01:30:35.7269682Z [2022-11-23 01:24:55,656] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7269802Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7269894Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7269983Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7270073Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7270157Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7270245Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7270307Z 12 RETURN_VALUE 2022-11-23T01:30:35.7270311Z 2022-11-23T01:30:35.7270372Z 2022-11-23T01:30:35.7270697Z [2022-11-23 01:24:55,656] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7270803Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_196) 2022-11-23T01:30:35.7270893Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7270982Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7271060Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7271135Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7271226Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7271300Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7271385Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7271472Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7271545Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7271634Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7271711Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7271786Z 24 RETURN_VALUE 2022-11-23T01:30:35.7271791Z 2022-11-23T01:30:35.7271852Z 2022-11-23T01:30:35.7272035Z [2022-11-23 01:24:55,657] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7272104Z - 2022-11-23T01:30:35.7272221Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7272288Z { 2022-11-23T01:30:35.7272417Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7272602Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7272722Z 'obj_weakref': None 2022-11-23T01:30:35.7272946Z 'guarded_class': 2022-11-23T01:30:35.7273012Z } 2022-11-23T01:30:35.7273072Z 2022-11-23T01:30:35.7273141Z - 2022-11-23T01:30:35.7273251Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7273313Z { 2022-11-23T01:30:35.7273454Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7273559Z 'code': None, 2022-11-23T01:30:35.7273767Z 'obj_weakref': 2022-11-23T01:30:35.7274018Z 'guarded_class': 2022-11-23T01:30:35.7274081Z } 2022-11-23T01:30:35.7274145Z 2022-11-23T01:30:35.7274201Z - 2022-11-23T01:30:35.7274322Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7274384Z { 2022-11-23T01:30:35.7274557Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7274663Z 'code': None, 2022-11-23T01:30:35.7274868Z 'obj_weakref': 2022-11-23T01:30:35.7275114Z 'guarded_class': 2022-11-23T01:30:35.7275165Z } 2022-11-23T01:30:35.7275229Z 2022-11-23T01:30:35.7275297Z - 2022-11-23T01:30:35.7275419Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7275480Z { 2022-11-23T01:30:35.7275618Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7275708Z 'code': None, 2022-11-23T01:30:35.7275912Z 'obj_weakref': 2022-11-23T01:30:35.7276185Z 'guarded_class': 2022-11-23T01:30:35.7276251Z } 2022-11-23T01:30:35.7276313Z 2022-11-23T01:30:35.7276382Z - 2022-11-23T01:30:35.7276513Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7276575Z { 2022-11-23T01:30:35.7276695Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7276861Z 'code': ['___check_obj_id(model, 140534625219872)'], 2022-11-23T01:30:35.7276980Z 'obj_weakref': None 2022-11-23T01:30:35.7277209Z 'guarded_class': 2022-11-23T01:30:35.7277272Z } 2022-11-23T01:30:35.7277333Z 2022-11-23T01:30:35.7277399Z - 2022-11-23T01:30:35.7277508Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7277569Z { 2022-11-23T01:30:35.7277706Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7277922Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7278040Z 'obj_weakref': None 2022-11-23T01:30:35.7278261Z 'guarded_class': 2022-11-23T01:30:35.7278323Z } 2022-11-23T01:30:35.7278374Z 2022-11-23T01:30:35.7278442Z - 2022-11-23T01:30:35.7278575Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7278637Z { 2022-11-23T01:30:35.7278756Z 'guard_types': None, 2022-11-23T01:30:35.7278859Z 'code': None, 2022-11-23T01:30:35.7278963Z 'obj_weakref': None 2022-11-23T01:30:35.7279082Z 'guarded_class': None 2022-11-23T01:30:35.7279145Z } 2022-11-23T01:30:35.7279207Z 2022-11-23T01:30:35.7279465Z [2022-11-23 01:24:55,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195 2022-11-23T01:30:35.7279840Z [2022-11-23 01:24:57,104] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/cieofyudbrypa74bny4qnxfk2s4vs7mhp3aasyildjn4zbmyqwjk.py 2022-11-23T01:30:35.7280181Z [2022-11-23 01:24:57,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195 2022-11-23T01:30:35.7280187Z 2022-11-23T01:30:35.7280283Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7280339Z import torch 2022-11-23T01:30:35.7280408Z import random 2022-11-23T01:30:35.7280522Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7280642Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7280647Z 2022-11-23T01:30:35.7280724Z aten = torch.ops.aten 2022-11-23T01:30:35.7280857Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7280948Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7280953Z 2022-11-23T01:30:35.7280960Z 2022-11-23T01:30:35.7281095Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7281287Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7281439Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7281544Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.7281646Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7281744Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7281805Z { 2022-11-23T01:30:35.7281902Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7281952Z { 2022-11-23T01:30:35.7282028Z #pragma omp for 2022-11-23T01:30:35.7282112Z for(long i0=0; i0<156800; i0+=1) 2022-11-23T01:30:35.7282174Z { 2022-11-23T01:30:35.7282313Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7282405Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7282498Z } 2022-11-23T01:30:35.7282580Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7282670Z for(long i0=1254400; i0<1254400; i0+=1) 2022-11-23T01:30:35.7282733Z { 2022-11-23T01:30:35.7282817Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7282896Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7282957Z } 2022-11-23T01:30:35.7283031Z #pragma omp for 2022-11-23T01:30:35.7283099Z for(long i0=0; i0<600; i0+=1) 2022-11-23T01:30:35.7283161Z { 2022-11-23T01:30:35.7283239Z #pragma GCC ivdep 2022-11-23T01:30:35.7283327Z for(long i1=0; i1<12544; i1+=1) 2022-11-23T01:30:35.7283390Z { 2022-11-23T01:30:35.7283453Z { 2022-11-23T01:30:35.7283517Z { 2022-11-23T01:30:35.7283598Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:35.7283702Z auto tmp1 = in_ptr2[i1 + (12544*i0)]; 2022-11-23T01:30:35.7283815Z atomic_add(&out_ptr0[i1 + (12544*tmp0)], tmp1); 2022-11-23T01:30:35.7283880Z } 2022-11-23T01:30:35.7283943Z } 2022-11-23T01:30:35.7284007Z } 2022-11-23T01:30:35.7284068Z } 2022-11-23T01:30:35.7284116Z } 2022-11-23T01:30:35.7284175Z } 2022-11-23T01:30:35.7284253Z ''') 2022-11-23T01:30:35.7284258Z 2022-11-23T01:30:35.7284263Z 2022-11-23T01:30:35.7284350Z async_compile.wait(globals()) 2022-11-23T01:30:35.7284420Z del async_compile 2022-11-23T01:30:35.7284426Z 2022-11-23T01:30:35.7284496Z def call(args): 2022-11-23T01:30:35.7284575Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7284632Z args.clear() 2022-11-23T01:30:35.7284985Z buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7285175Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7285242Z del arg0_1 2022-11-23T01:30:35.7285311Z del arg1_1 2022-11-23T01:30:35.7285376Z del arg2_1 2022-11-23T01:30:35.7285447Z return (buf0, ) 2022-11-23T01:30:35.7285451Z 2022-11-23T01:30:35.7285455Z 2022-11-23T01:30:35.7285532Z if __name__ == "__main__": 2022-11-23T01:30:35.7285635Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7285757Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7285982Z arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7286174Z arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7286388Z arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7286509Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7286513Z 2022-11-23T01:30:35.7286579Z ok (1.609s) 2022-11-23T01:30:35.7286889Z test_index_put3_cpu (__main__.CpuTests) ... [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7287247Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7287465Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7287715Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7287992Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7288310Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7288652Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7289014Z [2022-11-23 01:24:57,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7289390Z [2022-11-23 01:24:57,148] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7289486Z 3483 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7289576Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7289698Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7289797Z 6 LOAD_METHOD 3 (index_put_) 2022-11-23T01:30:35.7289885Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7289974Z 10 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7290061Z 12 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7290153Z 14 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7290244Z 16 BUILD_TUPLE 3 2022-11-23T01:30:35.7290321Z 18 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7290407Z 20 CALL_METHOD 3 2022-11-23T01:30:35.7290480Z 22 POP_TOP 2022-11-23T01:30:35.7290484Z 2022-11-23T01:30:35.7290570Z 3484 24 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7290655Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7290728Z 28 BINARY_ADD 2022-11-23T01:30:35.7290817Z 30 STORE_FAST 3 (a1) 2022-11-23T01:30:35.7290821Z 2022-11-23T01:30:35.7290912Z 3485 32 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7290990Z 34 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7291077Z 36 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7291176Z 38 LOAD_METHOD 3 (index_put_) 2022-11-23T01:30:35.7291267Z 40 LOAD_FAST 3 (a1) 2022-11-23T01:30:35.7291355Z 42 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7291443Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7291529Z 46 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7291588Z 48 BINARY_ADD 2022-11-23T01:30:35.7291675Z 50 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7291761Z 52 BUILD_TUPLE 3 2022-11-23T01:30:35.7291847Z 54 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7291932Z 56 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7292002Z 58 BINARY_ADD 2022-11-23T01:30:35.7292088Z 60 CALL_METHOD 3 2022-11-23T01:30:35.7292144Z 62 POP_TOP 2022-11-23T01:30:35.7292149Z 2022-11-23T01:30:35.7292232Z 3486 64 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7292318Z 66 LOAD_FAST 3 (a1) 2022-11-23T01:30:35.7292408Z 68 BUILD_TUPLE 2 2022-11-23T01:30:35.7292483Z 70 RETURN_VALUE 2022-11-23T01:30:35.7292544Z 2022-11-23T01:30:35.7292575Z 2022-11-23T01:30:35.7292898Z [2022-11-23 01:24:57,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3483 2022-11-23T01:30:35.7293119Z [2022-11-23 01:24:57,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7293472Z [2022-11-23 01:24:57,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7293763Z [2022-11-23 01:24:57,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7294075Z [2022-11-23 01:24:57,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7294399Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7294693Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7295026Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7295393Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:30:35.7295803Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7296119Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()] 2022-11-23T01:30:35.7296472Z [2022-11-23 01:24:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:30:35.7296773Z [2022-11-23 01:24:57,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7297145Z [2022-11-23 01:24:57,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3484 2022-11-23T01:30:35.7297341Z [2022-11-23 01:24:57,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7297578Z [2022-11-23 01:24:57,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.7297856Z [2022-11-23 01:24:57,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7298097Z [2022-11-23 01:24:57,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()] 2022-11-23T01:30:35.7298410Z [2022-11-23 01:24:57,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3485 2022-11-23T01:30:35.7298626Z [2022-11-23 01:24:57,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7298986Z [2022-11-23 01:24:57,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7299273Z [2022-11-23 01:24:57,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7299583Z [2022-11-23 01:24:57,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7299840Z [2022-11-23 01:24:57,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7300151Z [2022-11-23 01:24:57,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7300485Z [2022-11-23 01:24:57,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7300846Z [2022-11-23 01:24:57,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:30:35.7301249Z [2022-11-23 01:24:57,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7301652Z [2022-11-23 01:24:57,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:30:35.7302062Z [2022-11-23 01:24:57,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7302372Z [2022-11-23 01:24:57,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()] 2022-11-23T01:30:35.7302709Z [2022-11-23 01:24:57,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:30:35.7303091Z [2022-11-23 01:24:57,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7303441Z [2022-11-23 01:24:57,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:30:35.7303685Z [2022-11-23 01:24:57,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7303992Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3486 2022-11-23T01:30:35.7304188Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7304425Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()] 2022-11-23T01:30:35.7304689Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7304935Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7305316Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7305559Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7305790Z [2022-11-23 01:24:57,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7306041Z [2022-11-23 01:24:57,184] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7306334Z [2022-11-23 01:24:57,190] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.7306592Z [2022-11-23 01:24:57,190] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.7306828Z [2022-11-23 01:24:57,190] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7307042Z [2022-11-23 01:24:57,191] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7307178Z __compiled_fn_197 .1643 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7307270Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7307356Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7307439Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7307582Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {} 2022-11-23T01:30:35.7307740Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.7307912Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:30:35.7308080Z call_function, add_2, , (ex_2_, 1), {} 2022-11-23T01:30:35.7308224Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {} 2022-11-23T01:30:35.7308349Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.7308354Z 2022-11-23T01:30:35.7308679Z [2022-11-23 01:24:57,192] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7308773Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7308863Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7308949Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7309027Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7309110Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7309198Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7309276Z 12 RETURN_VALUE 2022-11-23T01:30:35.7309281Z 2022-11-23T01:30:35.7309341Z 2022-11-23T01:30:35.7309671Z [2022-11-23 01:24:57,192] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7309780Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_197) 2022-11-23T01:30:35.7309857Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7309949Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7310025Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7310114Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7310201Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7310275Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7310362Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7310434Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7310508Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7310596Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7310697Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7310784Z 24 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7310872Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7310949Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7311036Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7311126Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7311199Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7311287Z 36 BUILD_TUPLE 2 2022-11-23T01:30:35.7311364Z 38 RETURN_VALUE 2022-11-23T01:30:35.7311369Z 2022-11-23T01:30:35.7311428Z 2022-11-23T01:30:35.7311609Z [2022-11-23 01:24:57,193] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7311680Z - 2022-11-23T01:30:35.7311785Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7311848Z { 2022-11-23T01:30:35.7311989Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7312175Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7312293Z 'obj_weakref': None 2022-11-23T01:30:35.7312518Z 'guarded_class': 2022-11-23T01:30:35.7312585Z } 2022-11-23T01:30:35.7312635Z 2022-11-23T01:30:35.7312704Z - 2022-11-23T01:30:35.7312854Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7312919Z { 2022-11-23T01:30:35.7313061Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7313165Z 'code': None, 2022-11-23T01:30:35.7313376Z 'obj_weakref': 2022-11-23T01:30:35.7313615Z 'guarded_class': 2022-11-23T01:30:35.7313680Z } 2022-11-23T01:30:35.7313742Z 2022-11-23T01:30:35.7313814Z - 2022-11-23T01:30:35.7313936Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7314026Z { 2022-11-23T01:30:35.7314164Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7314286Z 'code': None, 2022-11-23T01:30:35.7314493Z 'obj_weakref': 2022-11-23T01:30:35.7314741Z 'guarded_class': 2022-11-23T01:30:35.7314805Z } 2022-11-23T01:30:35.7314867Z 2022-11-23T01:30:35.7314936Z - 2022-11-23T01:30:35.7315057Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7315106Z { 2022-11-23T01:30:35.7315247Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7315353Z 'code': None, 2022-11-23T01:30:35.7315556Z 'obj_weakref': 2022-11-23T01:30:35.7315797Z 'guarded_class': 2022-11-23T01:30:35.7315860Z } 2022-11-23T01:30:35.7315924Z 2022-11-23T01:30:35.7315979Z - 2022-11-23T01:30:35.7316108Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7316171Z { 2022-11-23T01:30:35.7316306Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7316477Z 'code': ['___check_obj_id(model, 140534621988912)'], 2022-11-23T01:30:35.7316594Z 'obj_weakref': None 2022-11-23T01:30:35.7316821Z 'guarded_class': 2022-11-23T01:30:35.7316871Z } 2022-11-23T01:30:35.7316933Z 2022-11-23T01:30:35.7317001Z - 2022-11-23T01:30:35.7317120Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7317181Z { 2022-11-23T01:30:35.7317315Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7317529Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7317633Z 'obj_weakref': None 2022-11-23T01:30:35.7317856Z 'guarded_class': 2022-11-23T01:30:35.7317919Z } 2022-11-23T01:30:35.7317987Z 2022-11-23T01:30:35.7318055Z - 2022-11-23T01:30:35.7318187Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7318249Z { 2022-11-23T01:30:35.7318354Z 'guard_types': None, 2022-11-23T01:30:35.7318458Z 'code': None, 2022-11-23T01:30:35.7318574Z 'obj_weakref': None 2022-11-23T01:30:35.7318693Z 'guarded_class': None 2022-11-23T01:30:35.7318754Z } 2022-11-23T01:30:35.7318815Z 2022-11-23T01:30:35.7318868Z ok (0.085s) 2022-11-23T01:30:35.7319199Z test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7319512Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7319758Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7320090Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7320373Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7320695Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7321041Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7321364Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7321774Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7321854Z 3499 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7321950Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:30:35.7322038Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7322130Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7322135Z 2022-11-23T01:30:35.7322228Z 3500 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.7322318Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:30:35.7322406Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:30:35.7322507Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:30:35.7322582Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7322672Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7322759Z 20 BUILD_LIST 1 2022-11-23T01:30:35.7322847Z 22 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7322932Z 24 LOAD_FAST 3 (d) 2022-11-23T01:30:35.7323016Z 26 CALL_METHOD 4 2022-11-23T01:30:35.7323086Z 28 POP_TOP 2022-11-23T01:30:35.7323091Z 2022-11-23T01:30:35.7323164Z 3501 30 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7323239Z 32 RETURN_VALUE 2022-11-23T01:30:35.7323299Z 2022-11-23T01:30:35.7323304Z 2022-11-23T01:30:35.7323618Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499 2022-11-23T01:30:35.7323824Z [2022-11-23 01:24:57,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7324068Z [2022-11-23 01:24:57,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:30:35.7324351Z [2022-11-23 01:24:57,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:30:35.7324587Z [2022-11-23 01:24:57,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7325007Z [2022-11-23 01:24:57,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500 2022-11-23T01:30:35.7325211Z [2022-11-23 01:24:57,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7325575Z [2022-11-23 01:24:57,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7325870Z [2022-11-23 01:24:57,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7326184Z [2022-11-23 01:24:57,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7326489Z [2022-11-23 01:24:57,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7326778Z [2022-11-23 01:24:57,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7327090Z [2022-11-23 01:24:57,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7327400Z [2022-11-23 01:24:57,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7327733Z [2022-11-23 01:24:57,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7328153Z [2022-11-23 01:24:57,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7328395Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7328694Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501 2022-11-23T01:30:35.7328901Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7329149Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7329526Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7329773Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7330007Z [2022-11-23 01:24:57,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7330257Z [2022-11-23 01:24:57,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7330501Z [2022-11-23 01:24:57,252] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7330688Z [2022-11-23 01:24:57,252] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7330819Z __compiled_fn_198 .1649 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7330895Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7330981Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7331064Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7331157Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:30:35.7331298Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {} 2022-11-23T01:30:35.7331391Z output, output, output, ((clone,),), {} 2022-11-23T01:30:35.7331399Z 2022-11-23T01:30:35.7331725Z [2022-11-23 01:24:57,253] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7331816Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7331893Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7331978Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7332068Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7332151Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7332241Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7332317Z 12 RETURN_VALUE 2022-11-23T01:30:35.7332323Z 2022-11-23T01:30:35.7332383Z 2022-11-23T01:30:35.7332696Z [2022-11-23 01:24:57,253] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7332836Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_198) 2022-11-23T01:30:35.7332928Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7333016Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7333091Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7333177Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7333265Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7333327Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7333413Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7333499Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7333575Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7333663Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7333753Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7333854Z 24 RETURN_VALUE 2022-11-23T01:30:35.7333860Z 2022-11-23T01:30:35.7333918Z 2022-11-23T01:30:35.7334090Z [2022-11-23 01:24:57,254] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7334160Z - 2022-11-23T01:30:35.7334279Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7334342Z { 2022-11-23T01:30:35.7334481Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7334667Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:35.7334783Z 'obj_weakref': None 2022-11-23T01:30:35.7334996Z 'guarded_class': 2022-11-23T01:30:35.7335059Z } 2022-11-23T01:30:35.7335121Z 2022-11-23T01:30:35.7335189Z - 2022-11-23T01:30:35.7335312Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7335374Z { 2022-11-23T01:30:35.7335502Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7335609Z 'code': None, 2022-11-23T01:30:35.7335820Z 'obj_weakref': 2022-11-23T01:30:35.7336074Z 'guarded_class': 2022-11-23T01:30:35.7336136Z } 2022-11-23T01:30:35.7336199Z 2022-11-23T01:30:35.7336267Z - 2022-11-23T01:30:35.7336389Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7336439Z { 2022-11-23T01:30:35.7336578Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7336682Z 'code': None, 2022-11-23T01:30:35.7336886Z 'obj_weakref': 2022-11-23T01:30:35.7337132Z 'guarded_class': 2022-11-23T01:30:35.7337195Z } 2022-11-23T01:30:35.7337260Z 2022-11-23T01:30:35.7337315Z - 2022-11-23T01:30:35.7337435Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7337497Z { 2022-11-23T01:30:35.7337639Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7337743Z 'code': None, 2022-11-23T01:30:35.7337947Z 'obj_weakref': 2022-11-23T01:30:35.7338188Z 'guarded_class': 2022-11-23T01:30:35.7338239Z } 2022-11-23T01:30:35.7338301Z 2022-11-23T01:30:35.7338371Z - 2022-11-23T01:30:35.7338538Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:30:35.7338600Z { 2022-11-23T01:30:35.7338733Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7338895Z 'code': ['___check_obj_id(ex[3], 94427249931968)'], 2022-11-23T01:30:35.7339000Z 'obj_weakref': None 2022-11-23T01:30:35.7339219Z 'guarded_class': 2022-11-23T01:30:35.7339281Z } 2022-11-23T01:30:35.7339372Z 2022-11-23T01:30:35.7339441Z - 2022-11-23T01:30:35.7339569Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7339619Z { 2022-11-23T01:30:35.7339751Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7339916Z 'code': ['___check_obj_id(model, 140534431371552)'], 2022-11-23T01:30:35.7340033Z 'obj_weakref': None 2022-11-23T01:30:35.7340260Z 'guarded_class': 2022-11-23T01:30:35.7340322Z } 2022-11-23T01:30:35.7340382Z 2022-11-23T01:30:35.7340438Z - 2022-11-23T01:30:35.7340557Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7340618Z { 2022-11-23T01:30:35.7340753Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7340998Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7341115Z 'obj_weakref': None 2022-11-23T01:30:35.7341336Z 'guarded_class': 2022-11-23T01:30:35.7341398Z } 2022-11-23T01:30:35.7341448Z 2022-11-23T01:30:35.7341515Z - 2022-11-23T01:30:35.7341645Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7341706Z { 2022-11-23T01:30:35.7341822Z 'guard_types': None, 2022-11-23T01:30:35.7341926Z 'code': None, 2022-11-23T01:30:35.7342030Z 'obj_weakref': None 2022-11-23T01:30:35.7342149Z 'guarded_class': None 2022-11-23T01:30:35.7342210Z } 2022-11-23T01:30:35.7342271Z 2022-11-23T01:30:35.7342530Z [2022-11-23 01:24:57,259] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196 2022-11-23T01:30:35.7342904Z [2022-11-23 01:24:58,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ln/clnrr3gml7bkjpa6agaeeegj2us6rae3z5hyblhjpce5ltl3u3fc.py 2022-11-23T01:30:35.7343166Z [2022-11-23 01:24:58,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196 2022-11-23T01:30:35.7343398Z [2022-11-23 01:24:58,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7343696Z [2022-11-23 01:24:58,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7343911Z [2022-11-23 01:24:58,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7344163Z [2022-11-23 01:24:58,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7344439Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7344762Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7345105Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7345425Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7345800Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7345891Z 3499 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7345986Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:30:35.7346066Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7346155Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7346160Z 2022-11-23T01:30:35.7346279Z 3500 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.7346371Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:30:35.7346459Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:30:35.7346557Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:30:35.7346646Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7346734Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7346807Z 20 BUILD_LIST 1 2022-11-23T01:30:35.7346894Z 22 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7346982Z 24 LOAD_FAST 3 (d) 2022-11-23T01:30:35.7347068Z 26 CALL_METHOD 4 2022-11-23T01:30:35.7347139Z 28 POP_TOP 2022-11-23T01:30:35.7347188Z 2022-11-23T01:30:35.7347274Z 3501 30 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7347350Z 32 RETURN_VALUE 2022-11-23T01:30:35.7347398Z 2022-11-23T01:30:35.7347402Z 2022-11-23T01:30:35.7347726Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499 2022-11-23T01:30:35.7347935Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7348179Z [2022-11-23 01:24:58,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:30:35.7348457Z [2022-11-23 01:24:58,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:30:35.7348695Z [2022-11-23 01:24:58,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7349006Z [2022-11-23 01:24:58,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500 2022-11-23T01:30:35.7349226Z [2022-11-23 01:24:58,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7349590Z [2022-11-23 01:24:58,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7349881Z [2022-11-23 01:24:58,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7350177Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7350434Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7350719Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7351041Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7351347Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7351679Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7352059Z [2022-11-23 01:24:58,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7352299Z [2022-11-23 01:24:58,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7352608Z [2022-11-23 01:24:58,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501 2022-11-23T01:30:35.7352843Z [2022-11-23 01:24:58,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7353079Z [2022-11-23 01:24:58,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7353458Z [2022-11-23 01:24:58,734] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7353704Z [2022-11-23 01:24:58,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7353936Z [2022-11-23 01:24:58,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7354187Z [2022-11-23 01:24:58,736] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7354467Z [2022-11-23 01:24:58,740] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7354655Z [2022-11-23 01:24:58,740] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7354789Z __compiled_fn_199 .1655 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7354878Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7354950Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7355034Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7355127Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:30:35.7355266Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {} 2022-11-23T01:30:35.7355363Z output, output, output, ((clone,),), {} 2022-11-23T01:30:35.7355368Z 2022-11-23T01:30:35.7355692Z [2022-11-23 01:24:58,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7355788Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7355879Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7355951Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7356046Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7356129Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7356215Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7356291Z 12 RETURN_VALUE 2022-11-23T01:30:35.7356296Z 2022-11-23T01:30:35.7356357Z 2022-11-23T01:30:35.7356681Z [2022-11-23 01:24:58,741] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7356788Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_199) 2022-11-23T01:30:35.7356865Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7356953Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7357030Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7357121Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7357210Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7357286Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7357376Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7357451Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7357525Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7357612Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7357704Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7357778Z 24 RETURN_VALUE 2022-11-23T01:30:35.7357782Z 2022-11-23T01:30:35.7357842Z 2022-11-23T01:30:35.7358023Z [2022-11-23 01:24:58,742] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7358080Z - 2022-11-23T01:30:35.7358198Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7358261Z { 2022-11-23T01:30:35.7358402Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7358592Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:35.7358710Z 'obj_weakref': None 2022-11-23T01:30:35.7358961Z 'guarded_class': 2022-11-23T01:30:35.7359014Z } 2022-11-23T01:30:35.7359079Z 2022-11-23T01:30:35.7359147Z - 2022-11-23T01:30:35.7359270Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7359332Z { 2022-11-23T01:30:35.7359473Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7359577Z 'code': None, 2022-11-23T01:30:35.7359777Z 'obj_weakref': 2022-11-23T01:30:35.7360103Z 'guarded_class': 2022-11-23T01:30:35.7360169Z } 2022-11-23T01:30:35.7360233Z 2022-11-23T01:30:35.7360339Z - 2022-11-23T01:30:35.7360463Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7360525Z { 2022-11-23T01:30:35.7360652Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7360759Z 'code': None, 2022-11-23T01:30:35.7360967Z 'obj_weakref': 2022-11-23T01:30:35.7361211Z 'guarded_class': 2022-11-23T01:30:35.7361274Z } 2022-11-23T01:30:35.7361336Z 2022-11-23T01:30:35.7361404Z - 2022-11-23T01:30:35.7361512Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7361575Z { 2022-11-23T01:30:35.7361712Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7361817Z 'code': None, 2022-11-23T01:30:35.7362022Z 'obj_weakref': 2022-11-23T01:30:35.7362265Z 'guarded_class': 2022-11-23T01:30:35.7362328Z } 2022-11-23T01:30:35.7362380Z 2022-11-23T01:30:35.7362447Z - 2022-11-23T01:30:35.7362575Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:30:35.7362637Z { 2022-11-23T01:30:35.7362770Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7362932Z 'code': ['___check_obj_id(ex[3], 94427249932000)'], 2022-11-23T01:30:35.7363051Z 'obj_weakref': None 2022-11-23T01:30:35.7363258Z 'guarded_class': 2022-11-23T01:30:35.7363320Z } 2022-11-23T01:30:35.7363381Z 2022-11-23T01:30:35.7363450Z - 2022-11-23T01:30:35.7363578Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7363639Z { 2022-11-23T01:30:35.7363769Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7363927Z 'code': ['___check_obj_id(model, 140534431371552)'], 2022-11-23T01:30:35.7364044Z 'obj_weakref': None 2022-11-23T01:30:35.7364274Z 'guarded_class': 2022-11-23T01:30:35.7364337Z } 2022-11-23T01:30:35.7364399Z 2022-11-23T01:30:35.7364466Z - 2022-11-23T01:30:35.7364585Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7364634Z { 2022-11-23T01:30:35.7364870Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7365090Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7365208Z 'obj_weakref': None 2022-11-23T01:30:35.7365430Z 'guarded_class': 2022-11-23T01:30:35.7365491Z } 2022-11-23T01:30:35.7365552Z 2022-11-23T01:30:35.7365610Z - 2022-11-23T01:30:35.7365743Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7365805Z { 2022-11-23T01:30:35.7365924Z 'guard_types': None, 2022-11-23T01:30:35.7366073Z 'code': None, 2022-11-23T01:30:35.7366192Z 'obj_weakref': None 2022-11-23T01:30:35.7366312Z 'guarded_class': None 2022-11-23T01:30:35.7366362Z } 2022-11-23T01:30:35.7366423Z 2022-11-23T01:30:35.7366686Z [2022-11-23 01:24:58,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197 2022-11-23T01:30:35.7367056Z [2022-11-23 01:25:00,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/caswrzrz4hmk4g2pl7bvhvaeusytj2hk5fawi5xcqubmifawdkym.py 2022-11-23T01:30:35.7367319Z [2022-11-23 01:25:00,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197 2022-11-23T01:30:35.7367325Z 2022-11-23T01:30:35.7367417Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7367522Z import torch 2022-11-23T01:30:35.7367589Z import random 2022-11-23T01:30:35.7367691Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7367814Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7367819Z 2022-11-23T01:30:35.7367895Z aten = torch.ops.aten 2022-11-23T01:30:35.7368033Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7368124Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7368129Z 2022-11-23T01:30:35.7368134Z 2022-11-23T01:30:35.7368265Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7368469Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7368586Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.7368676Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7368777Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7368877Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7368938Z { 2022-11-23T01:30:35.7369034Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7369094Z { 2022-11-23T01:30:35.7369173Z #pragma omp for 2022-11-23T01:30:35.7369244Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.7369306Z { 2022-11-23T01:30:35.7369408Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:30:35.7369527Z flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:30:35.7369675Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:30:35.7369794Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:35.7369923Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:30:35.7370044Z auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0); 2022-11-23T01:30:35.7370123Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7370188Z } 2022-11-23T01:30:35.7370281Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7370366Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:30:35.7370427Z { 2022-11-23T01:30:35.7370512Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7370580Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:35.7370662Z auto tmp2 = in_ptr2[i0]; 2022-11-23T01:30:35.7370754Z auto tmp3 = tmp0 ? tmp1 : tmp2; 2022-11-23T01:30:35.7370834Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.7370896Z } 2022-11-23T01:30:35.7370956Z } 2022-11-23T01:30:35.7371015Z } 2022-11-23T01:30:35.7371080Z ''') 2022-11-23T01:30:35.7371085Z 2022-11-23T01:30:35.7371103Z 2022-11-23T01:30:35.7371179Z async_compile.wait(globals()) 2022-11-23T01:30:35.7371250Z del async_compile 2022-11-23T01:30:35.7371255Z 2022-11-23T01:30:35.7371323Z def call(args): 2022-11-23T01:30:35.7371405Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7371476Z args.clear() 2022-11-23T01:30:35.7371686Z buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7371911Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7371968Z del arg0_1 2022-11-23T01:30:35.7372036Z del arg1_1 2022-11-23T01:30:35.7372101Z del arg2_1 2022-11-23T01:30:35.7372173Z return (buf0, ) 2022-11-23T01:30:35.7372178Z 2022-11-23T01:30:35.7372182Z 2022-11-23T01:30:35.7372257Z if __name__ == "__main__": 2022-11-23T01:30:35.7372371Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7372492Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7372686Z arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7372885Z arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7373066Z arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7373231Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7373237Z 2022-11-23T01:30:35.7373241Z 2022-11-23T01:30:35.7373336Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7373405Z import torch 2022-11-23T01:30:35.7373475Z import random 2022-11-23T01:30:35.7373586Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7373694Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7373711Z 2022-11-23T01:30:35.7373774Z aten = torch.ops.aten 2022-11-23T01:30:35.7373906Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7373998Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7374003Z 2022-11-23T01:30:35.7374007Z 2022-11-23T01:30:35.7374138Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7374340Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7374455Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.7374561Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7374663Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7374747Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7374809Z { 2022-11-23T01:30:35.7374906Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7374967Z { 2022-11-23T01:30:35.7375043Z #pragma omp for 2022-11-23T01:30:35.7375126Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.7375175Z { 2022-11-23T01:30:35.7375275Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:30:35.7375394Z flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:30:35.7375534Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:30:35.7375664Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.7375781Z auto tmp2 = at::vec::Vectorized(in_ptr2[0]); 2022-11-23T01:30:35.7375867Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.7375989Z auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0); 2022-11-23T01:30:35.7376067Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7376130Z } 2022-11-23T01:30:35.7376223Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7376307Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:30:35.7376369Z { 2022-11-23T01:30:35.7376450Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7376531Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.7376599Z auto tmp2 = in_ptr2[0]; 2022-11-23T01:30:35.7376682Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.7376774Z auto tmp4 = tmp0 ? tmp3 : tmp1; 2022-11-23T01:30:35.7376855Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:35.7376917Z } 2022-11-23T01:30:35.7376978Z } 2022-11-23T01:30:35.7377037Z } 2022-11-23T01:30:35.7377105Z ''') 2022-11-23T01:30:35.7377110Z 2022-11-23T01:30:35.7377114Z 2022-11-23T01:30:35.7377201Z async_compile.wait(globals()) 2022-11-23T01:30:35.7377272Z del async_compile 2022-11-23T01:30:35.7377305Z 2022-11-23T01:30:35.7377376Z def call(args): 2022-11-23T01:30:35.7377458Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7377528Z args.clear() 2022-11-23T01:30:35.7377735Z buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7377910Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7377978Z del arg0_1 2022-11-23T01:30:35.7378043Z del arg1_1 2022-11-23T01:30:35.7378109Z del arg2_1 2022-11-23T01:30:35.7378180Z return (buf0, ) 2022-11-23T01:30:35.7378185Z 2022-11-23T01:30:35.7378189Z 2022-11-23T01:30:35.7378263Z if __name__ == "__main__": 2022-11-23T01:30:35.7378377Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7378530Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7378722Z arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7378919Z arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7379102Z arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7379223Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7379227Z 2022-11-23T01:30:35.7379293Z ok (2.947s) 2022-11-23T01:30:35.7379619Z test_index_put_fallback1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7379937Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7380152Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7380404Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7380670Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7380990Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7381332Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7381651Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7382022Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7382116Z 3525 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7382213Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:30:35.7382301Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7382390Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7382395Z 2022-11-23T01:30:35.7382474Z 3526 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.7382565Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:30:35.7382653Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:30:35.7382752Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:30:35.7382839Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7382925Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7383009Z 20 BUILD_LIST 1 2022-11-23T01:30:35.7383094Z 22 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7383170Z 24 LOAD_FAST 3 (d) 2022-11-23T01:30:35.7383255Z 26 CALL_METHOD 4 2022-11-23T01:30:35.7383354Z 28 POP_TOP 2022-11-23T01:30:35.7383360Z 2022-11-23T01:30:35.7383446Z 3527 30 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7383520Z 32 RETURN_VALUE 2022-11-23T01:30:35.7383580Z 2022-11-23T01:30:35.7383584Z 2022-11-23T01:30:35.7383898Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525 2022-11-23T01:30:35.7384094Z [2022-11-23 01:25:00,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7384337Z [2022-11-23 01:25:00,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:30:35.7384617Z [2022-11-23 01:25:00,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:30:35.7384883Z [2022-11-23 01:25:00,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7385194Z [2022-11-23 01:25:00,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526 2022-11-23T01:30:35.7385412Z [2022-11-23 01:25:00,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7385775Z [2022-11-23 01:25:00,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7386066Z [2022-11-23 01:25:00,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7386375Z [2022-11-23 01:25:00,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7386634Z [2022-11-23 01:25:00,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7386918Z [2022-11-23 01:25:00,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7387222Z [2022-11-23 01:25:00,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7387530Z [2022-11-23 01:25:00,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7387862Z [2022-11-23 01:25:00,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7388319Z [2022-11-23 01:25:00,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7388605Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7388919Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527 2022-11-23T01:30:35.7389125Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7389369Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7389742Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7389987Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7390210Z [2022-11-23 01:25:00,188] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7390499Z [2022-11-23 01:25:00,189] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7390748Z [2022-11-23 01:25:00,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7390938Z [2022-11-23 01:25:00,192] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7391071Z __compiled_fn_200 .1661 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7391160Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7391247Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7391329Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7391410Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:30:35.7391548Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {} 2022-11-23T01:30:35.7391643Z output, output, output, ((clone,),), {} 2022-11-23T01:30:35.7391697Z 2022-11-23T01:30:35.7392028Z [2022-11-23 01:25:00,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7392121Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7392210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7392295Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7392387Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7392459Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7392547Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7392621Z 12 RETURN_VALUE 2022-11-23T01:30:35.7392626Z 2022-11-23T01:30:35.7392688Z 2022-11-23T01:30:35.7393011Z [2022-11-23 01:25:00,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7393122Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_200) 2022-11-23T01:30:35.7393211Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7393304Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7393367Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7393455Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7393542Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7393617Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7393701Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7393786Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7393861Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7393936Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7394026Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7394099Z 24 RETURN_VALUE 2022-11-23T01:30:35.7394104Z 2022-11-23T01:30:35.7394165Z 2022-11-23T01:30:35.7394345Z [2022-11-23 01:25:00,193] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7394418Z - 2022-11-23T01:30:35.7394536Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7394588Z { 2022-11-23T01:30:35.7394729Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7394914Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:35.7395033Z 'obj_weakref': None 2022-11-23T01:30:35.7395256Z 'guarded_class': 2022-11-23T01:30:35.7395320Z } 2022-11-23T01:30:35.7395383Z 2022-11-23T01:30:35.7395439Z - 2022-11-23T01:30:35.7395562Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7395624Z { 2022-11-23T01:30:35.7395766Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7395871Z 'code': None, 2022-11-23T01:30:35.7396080Z 'obj_weakref': 2022-11-23T01:30:35.7396332Z 'guarded_class': 2022-11-23T01:30:35.7396383Z } 2022-11-23T01:30:35.7396510Z 2022-11-23T01:30:35.7396580Z - 2022-11-23T01:30:35.7396702Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7396765Z { 2022-11-23T01:30:35.7396905Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7397013Z 'code': None, 2022-11-23T01:30:35.7397204Z 'obj_weakref': 2022-11-23T01:30:35.7397456Z 'guarded_class': 2022-11-23T01:30:35.7397519Z } 2022-11-23T01:30:35.7397582Z 2022-11-23T01:30:35.7397651Z - 2022-11-23T01:30:35.7397773Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7397835Z { 2022-11-23T01:30:35.7397988Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7398094Z 'code': None, 2022-11-23T01:30:35.7398302Z 'obj_weakref': 2022-11-23T01:30:35.7398552Z 'guarded_class': 2022-11-23T01:30:35.7398616Z } 2022-11-23T01:30:35.7398678Z 2022-11-23T01:30:35.7398746Z - 2022-11-23T01:30:35.7398862Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:30:35.7398927Z { 2022-11-23T01:30:35.7399057Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7399221Z 'code': ['___check_obj_id(ex[3], 94427249931968)'], 2022-11-23T01:30:35.7399339Z 'obj_weakref': None 2022-11-23T01:30:35.7399551Z 'guarded_class': 2022-11-23T01:30:35.7404655Z } 2022-11-23T01:30:35.7404731Z 2022-11-23T01:30:35.7404937Z - 2022-11-23T01:30:35.7405084Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7405150Z { 2022-11-23T01:30:35.7405298Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7405461Z 'code': ['___check_obj_id(model, 140534621986752)'], 2022-11-23T01:30:35.7405582Z 'obj_weakref': None 2022-11-23T01:30:35.7405815Z 'guarded_class': 2022-11-23T01:30:35.7405879Z } 2022-11-23T01:30:35.7405942Z 2022-11-23T01:30:35.7406011Z - 2022-11-23T01:30:35.7406133Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7406183Z { 2022-11-23T01:30:35.7406319Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7406538Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7406660Z 'obj_weakref': None 2022-11-23T01:30:35.7406884Z 'guarded_class': 2022-11-23T01:30:35.7406946Z } 2022-11-23T01:30:35.7407011Z 2022-11-23T01:30:35.7407068Z - 2022-11-23T01:30:35.7407200Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7407262Z { 2022-11-23T01:30:35.7407382Z 'guard_types': None, 2022-11-23T01:30:35.7407487Z 'code': None, 2022-11-23T01:30:35.7407603Z 'obj_weakref': None 2022-11-23T01:30:35.7407722Z 'guarded_class': None 2022-11-23T01:30:35.7407772Z } 2022-11-23T01:30:35.7407834Z 2022-11-23T01:30:35.7408097Z [2022-11-23 01:25:00,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198 2022-11-23T01:30:35.7408477Z [2022-11-23 01:25:01,638] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpjlmlm3xpt3sqnzhwajyrns5npln4kctkqmbidlrvchyu56l6io.py 2022-11-23T01:30:35.7408741Z [2022-11-23 01:25:01,638] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198 2022-11-23T01:30:35.7409073Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7409392Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7409607Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7409847Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7410127Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7410446Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7410837Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7411160Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7411539Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7411632Z 3525 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7411728Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:30:35.7411816Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7411895Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7411917Z 2022-11-23T01:30:35.7412002Z 3526 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.7412093Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:30:35.7412185Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:30:35.7412284Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:30:35.7412371Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7412457Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7412542Z 20 BUILD_LIST 1 2022-11-23T01:30:35.7412616Z 22 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7412699Z 24 LOAD_FAST 3 (d) 2022-11-23T01:30:35.7412785Z 26 CALL_METHOD 4 2022-11-23T01:30:35.7412856Z 28 POP_TOP 2022-11-23T01:30:35.7412861Z 2022-11-23T01:30:35.7412947Z 3527 30 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7413022Z 32 RETURN_VALUE 2022-11-23T01:30:35.7413082Z 2022-11-23T01:30:35.7413090Z 2022-11-23T01:30:35.7413406Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525 2022-11-23T01:30:35.7413606Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7413850Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:30:35.7414131Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:30:35.7414367Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7414674Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526 2022-11-23T01:30:35.7414888Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7415279Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7415573Z [2022-11-23 01:25:01,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7415882Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7416142Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7416417Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7416730Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7417068Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7417406Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7417785Z [2022-11-23 01:25:01,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7418027Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7418337Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527 2022-11-23T01:30:35.7418545Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7418797Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7419176Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7419420Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7419641Z [2022-11-23 01:25:01,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7419894Z [2022-11-23 01:25:01,653] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7420140Z [2022-11-23 01:25:01,657] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7420326Z [2022-11-23 01:25:01,657] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7420463Z __compiled_fn_201 .1667 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7420553Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7420640Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7420723Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7420804Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:30:35.7420943Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {} 2022-11-23T01:30:35.7421038Z output, output, output, ((clone,),), {} 2022-11-23T01:30:35.7421043Z 2022-11-23T01:30:35.7421368Z [2022-11-23 01:25:01,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7421461Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7421550Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7421634Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7421716Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7421799Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7421917Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7421993Z 12 RETURN_VALUE 2022-11-23T01:30:35.7421998Z 2022-11-23T01:30:35.7422057Z 2022-11-23T01:30:35.7422381Z [2022-11-23 01:25:01,657] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7422487Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_201) 2022-11-23T01:30:35.7422576Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7422652Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7422729Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7422818Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7422906Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7423010Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7423095Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7423180Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7423243Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7423333Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7423421Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7423496Z 24 RETURN_VALUE 2022-11-23T01:30:35.7423500Z 2022-11-23T01:30:35.7423560Z 2022-11-23T01:30:35.7423741Z [2022-11-23 01:25:01,658] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7423809Z - 2022-11-23T01:30:35.7423913Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7423978Z { 2022-11-23T01:30:35.7424116Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7424301Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:35.7424418Z 'obj_weakref': None 2022-11-23T01:30:35.7424648Z 'guarded_class': 2022-11-23T01:30:35.7424713Z } 2022-11-23T01:30:35.7424762Z 2022-11-23T01:30:35.7424833Z - 2022-11-23T01:30:35.7424955Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7425019Z { 2022-11-23T01:30:35.7425160Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7425266Z 'code': None, 2022-11-23T01:30:35.7425477Z 'obj_weakref': 2022-11-23T01:30:35.7425726Z 'guarded_class': 2022-11-23T01:30:35.7425778Z } 2022-11-23T01:30:35.7425840Z 2022-11-23T01:30:35.7425907Z - 2022-11-23T01:30:35.7426028Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7426090Z { 2022-11-23T01:30:35.7426229Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7426325Z 'code': None, 2022-11-23T01:30:35.7426537Z 'obj_weakref': 2022-11-23T01:30:35.7426787Z 'guarded_class': 2022-11-23T01:30:35.7426853Z } 2022-11-23T01:30:35.7426912Z 2022-11-23T01:30:35.7426980Z - 2022-11-23T01:30:35.7427100Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7427149Z { 2022-11-23T01:30:35.7427286Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7427390Z 'code': None, 2022-11-23T01:30:35.7427592Z 'obj_weakref': 2022-11-23T01:30:35.7427834Z 'guarded_class': 2022-11-23T01:30:35.7427896Z } 2022-11-23T01:30:35.7427960Z 2022-11-23T01:30:35.7428028Z - 2022-11-23T01:30:35.7428142Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:30:35.7428204Z { 2022-11-23T01:30:35.7428368Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7428531Z 'code': ['___check_obj_id(ex[3], 94427249932000)'], 2022-11-23T01:30:35.7428648Z 'obj_weakref': None 2022-11-23T01:30:35.7428865Z 'guarded_class': 2022-11-23T01:30:35.7428929Z } 2022-11-23T01:30:35.7428979Z 2022-11-23T01:30:35.7429048Z - 2022-11-23T01:30:35.7429178Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7429241Z { 2022-11-23T01:30:35.7429372Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7429536Z 'code': ['___check_obj_id(model, 140534621986752)'], 2022-11-23T01:30:35.7429641Z 'obj_weakref': None 2022-11-23T01:30:35.7429907Z 'guarded_class': 2022-11-23T01:30:35.7429972Z } 2022-11-23T01:30:35.7430037Z 2022-11-23T01:30:35.7430106Z - 2022-11-23T01:30:35.7430227Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7430288Z { 2022-11-23T01:30:35.7430412Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7430627Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7430745Z 'obj_weakref': None 2022-11-23T01:30:35.7430967Z 'guarded_class': 2022-11-23T01:30:35.7431029Z } 2022-11-23T01:30:35.7431089Z 2022-11-23T01:30:35.7431158Z - 2022-11-23T01:30:35.7431277Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7431340Z { 2022-11-23T01:30:35.7431457Z 'guard_types': None, 2022-11-23T01:30:35.7431565Z 'code': None, 2022-11-23T01:30:35.7431680Z 'obj_weakref': None 2022-11-23T01:30:35.7431802Z 'guarded_class': None 2022-11-23T01:30:35.7431864Z } 2022-11-23T01:30:35.7431914Z 2022-11-23T01:30:35.7432174Z [2022-11-23 01:25:01,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199 2022-11-23T01:30:35.7432540Z [2022-11-23 01:25:01,670] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/chaa7sbv67ccoxbg5jmfujdd7ebo2blwagj3ldwunpbxi7xyikm6.py 2022-11-23T01:30:35.7432802Z [2022-11-23 01:25:01,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199 2022-11-23T01:30:35.7432807Z 2022-11-23T01:30:35.7432899Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7432967Z import torch 2022-11-23T01:30:35.7433035Z import random 2022-11-23T01:30:35.7433149Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7433260Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7433266Z 2022-11-23T01:30:35.7433342Z aten = torch.ops.aten 2022-11-23T01:30:35.7433478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7433571Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7433576Z 2022-11-23T01:30:35.7433580Z 2022-11-23T01:30:35.7433712Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7433917Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7434034Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7434132Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7434181Z { 2022-11-23T01:30:35.7434258Z #pragma GCC ivdep 2022-11-23T01:30:35.7434339Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.7434400Z { 2022-11-23T01:30:35.7434464Z { 2022-11-23T01:30:35.7434526Z { 2022-11-23T01:30:35.7434615Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7434740Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7434801Z } 2022-11-23T01:30:35.7434863Z } 2022-11-23T01:30:35.7434956Z } 2022-11-23T01:30:35.7435018Z } 2022-11-23T01:30:35.7435095Z ''') 2022-11-23T01:30:35.7435099Z 2022-11-23T01:30:35.7435104Z 2022-11-23T01:30:35.7435191Z async_compile.wait(globals()) 2022-11-23T01:30:35.7435250Z del async_compile 2022-11-23T01:30:35.7435254Z 2022-11-23T01:30:35.7435323Z def call(args): 2022-11-23T01:30:35.7435402Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7435472Z args.clear() 2022-11-23T01:30:35.7435662Z buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7435795Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7435861Z del arg0_1 2022-11-23T01:30:35.7435951Z aten.index_put_(buf0, [arg1_1], arg2_1, False) 2022-11-23T01:30:35.7436018Z del arg1_1 2022-11-23T01:30:35.7436118Z del arg2_1 2022-11-23T01:30:35.7436187Z return (buf0, ) 2022-11-23T01:30:35.7436191Z 2022-11-23T01:30:35.7436195Z 2022-11-23T01:30:35.7436269Z if __name__ == "__main__": 2022-11-23T01:30:35.7436383Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7436504Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7436685Z arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7436869Z arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7437057Z arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7437178Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7437183Z 2022-11-23T01:30:35.7437187Z 2022-11-23T01:30:35.7437282Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7437350Z import torch 2022-11-23T01:30:35.7437418Z import random 2022-11-23T01:30:35.7437530Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7437638Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7437654Z 2022-11-23T01:30:35.7437719Z aten = torch.ops.aten 2022-11-23T01:30:35.7437853Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7437944Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7437948Z 2022-11-23T01:30:35.7437953Z 2022-11-23T01:30:35.7438084Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7438287Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7438405Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7438503Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7438551Z { 2022-11-23T01:30:35.7438626Z #pragma GCC ivdep 2022-11-23T01:30:35.7438707Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.7438768Z { 2022-11-23T01:30:35.7438829Z { 2022-11-23T01:30:35.7438892Z { 2022-11-23T01:30:35.7438982Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7439051Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7439113Z } 2022-11-23T01:30:35.7439177Z } 2022-11-23T01:30:35.7439241Z } 2022-11-23T01:30:35.7439302Z } 2022-11-23T01:30:35.7439377Z ''') 2022-11-23T01:30:35.7439382Z 2022-11-23T01:30:35.7439386Z 2022-11-23T01:30:35.7439470Z async_compile.wait(globals()) 2022-11-23T01:30:35.7439529Z del async_compile 2022-11-23T01:30:35.7439534Z 2022-11-23T01:30:35.7439602Z def call(args): 2022-11-23T01:30:35.7439682Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7439752Z args.clear() 2022-11-23T01:30:35.7439942Z buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7440155Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7440224Z del arg0_1 2022-11-23T01:30:35.7440315Z aten.index_put_(buf0, [arg1_1], arg2_1, True) 2022-11-23T01:30:35.7440385Z del arg1_1 2022-11-23T01:30:35.7440450Z del arg2_1 2022-11-23T01:30:35.7440521Z return (buf0, ) 2022-11-23T01:30:35.7440526Z 2022-11-23T01:30:35.7440530Z 2022-11-23T01:30:35.7440643Z if __name__ == "__main__": 2022-11-23T01:30:35.7440757Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7440879Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7441074Z arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7441244Z arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7441431Z arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7441555Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7441560Z 2022-11-23T01:30:35.7441624Z ok (1.498s) 2022-11-23T01:30:35.7441950Z test_index_put_fallback2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7442300Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7442518Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7442769Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7443042Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7443350Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7443693Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7444016Z [2022-11-23 01:25:01,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7444392Z [2022-11-23 01:25:01,677] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7444485Z 3551 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7444579Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:30:35.7444666Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7444837Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7444842Z 2022-11-23T01:30:35.7444936Z 3552 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.7445013Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:30:35.7445102Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:30:35.7445201Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:30:35.7445290Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7445380Z 18 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7445470Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7445556Z 22 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7445630Z 24 BUILD_LIST 3 2022-11-23T01:30:35.7445715Z 26 LOAD_FAST 3 (d) 2022-11-23T01:30:35.7445798Z 28 LOAD_FAST 4 (e) 2022-11-23T01:30:35.7445883Z 30 CALL_METHOD 4 2022-11-23T01:30:35.7445955Z 32 POP_TOP 2022-11-23T01:30:35.7445960Z 2022-11-23T01:30:35.7446046Z 3553 34 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7446121Z 36 RETURN_VALUE 2022-11-23T01:30:35.7446169Z 2022-11-23T01:30:35.7446186Z 2022-11-23T01:30:35.7446490Z [2022-11-23 01:25:01,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551 2022-11-23T01:30:35.7446702Z [2022-11-23 01:25:01,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7446995Z [2022-11-23 01:25:01,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:30:35.7447279Z [2022-11-23 01:25:01,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:30:35.7447514Z [2022-11-23 01:25:01,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7447825Z [2022-11-23 01:25:01,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552 2022-11-23T01:30:35.7448040Z [2022-11-23 01:25:01,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7448404Z [2022-11-23 01:25:01,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7448754Z [2022-11-23 01:25:01,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7449067Z [2022-11-23 01:25:01,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7449310Z [2022-11-23 01:25:01,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7449598Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7449927Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7450284Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:30:35.7450681Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7450986Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7451324Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7451707Z [2022-11-23 01:25:01,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7451950Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7452270Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553 2022-11-23T01:30:35.7452475Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7452709Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7453088Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7453330Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7453562Z [2022-11-23 01:25:01,686] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7453818Z [2022-11-23 01:25:01,687] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7454093Z [2022-11-23 01:25:01,690] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7454283Z [2022-11-23 01:25:01,691] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7454417Z __compiled_fn_202 .1673 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7454507Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7454578Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7454664Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7454746Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:35.7454839Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:30:35.7454987Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {} 2022-11-23T01:30:35.7455083Z output, output, output, ((clone,),), {} 2022-11-23T01:30:35.7455119Z 2022-11-23T01:30:35.7455446Z [2022-11-23 01:25:01,691] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7455541Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7455619Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7455705Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7455796Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7455880Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7455966Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7456039Z 12 RETURN_VALUE 2022-11-23T01:30:35.7456044Z 2022-11-23T01:30:35.7456103Z 2022-11-23T01:30:35.7456412Z [2022-11-23 01:25:01,691] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7456518Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_202) 2022-11-23T01:30:35.7456608Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7456695Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7456772Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7456860Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7456945Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7457007Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7457091Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7457174Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7457249Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7457335Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7457420Z 22 LOAD_CONST 4 (3) 2022-11-23T01:30:35.7457492Z 24 BINARY_SUBSCR 2022-11-23T01:30:35.7457578Z 26 CALL_FUNCTION 4 2022-11-23T01:30:35.7457655Z 28 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7457731Z 30 RETURN_VALUE 2022-11-23T01:30:35.7457735Z 2022-11-23T01:30:35.7457794Z 2022-11-23T01:30:35.7457973Z [2022-11-23 01:25:01,692] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7458045Z - 2022-11-23T01:30:35.7458162Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7458225Z { 2022-11-23T01:30:35.7458351Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7458535Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 5'], 2022-11-23T01:30:35.7458652Z 'obj_weakref': None 2022-11-23T01:30:35.7458876Z 'guarded_class': 2022-11-23T01:30:35.7458940Z } 2022-11-23T01:30:35.7459003Z 2022-11-23T01:30:35.7459071Z - 2022-11-23T01:30:35.7459181Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7459244Z { 2022-11-23T01:30:35.7459385Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7459492Z 'code': None, 2022-11-23T01:30:35.7459702Z 'obj_weakref': 2022-11-23T01:30:35.7459981Z 'guarded_class': 2022-11-23T01:30:35.7460046Z } 2022-11-23T01:30:35.7460097Z 2022-11-23T01:30:35.7460166Z - 2022-11-23T01:30:35.7460287Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7460349Z { 2022-11-23T01:30:35.7460489Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7460594Z 'code': None, 2022-11-23T01:30:35.7460799Z 'obj_weakref': 2022-11-23T01:30:35.7461033Z 'guarded_class': 2022-11-23T01:30:35.7461094Z } 2022-11-23T01:30:35.7461187Z 2022-11-23T01:30:35.7461257Z - 2022-11-23T01:30:35.7461376Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7461439Z { 2022-11-23T01:30:35.7461579Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7461672Z 'code': None, 2022-11-23T01:30:35.7461879Z 'obj_weakref': 2022-11-23T01:30:35.7462121Z 'guarded_class': 2022-11-23T01:30:35.7462184Z } 2022-11-23T01:30:35.7462244Z 2022-11-23T01:30:35.7462316Z - 2022-11-23T01:30:35.7462435Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:35.7462484Z { 2022-11-23T01:30:35.7462620Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7462726Z 'code': None, 2022-11-23T01:30:35.7462929Z 'obj_weakref': 2022-11-23T01:30:35.7463182Z 'guarded_class': 2022-11-23T01:30:35.7463247Z } 2022-11-23T01:30:35.7463309Z 2022-11-23T01:30:35.7463365Z - 2022-11-23T01:30:35.7463493Z local 'ex[4]' CONSTANT_MATCH 2022-11-23T01:30:35.7463555Z { 2022-11-23T01:30:35.7463688Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7463854Z 'code': ['___check_obj_id(ex[4], 94427249931968)'], 2022-11-23T01:30:35.7463970Z 'obj_weakref': None 2022-11-23T01:30:35.7464189Z 'guarded_class': 2022-11-23T01:30:35.7464239Z } 2022-11-23T01:30:35.7464300Z 2022-11-23T01:30:35.7464367Z - 2022-11-23T01:30:35.7464495Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7464557Z { 2022-11-23T01:30:35.7464691Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7464859Z 'code': ['___check_obj_id(model, 140534626914448)'], 2022-11-23T01:30:35.7464967Z 'obj_weakref': None 2022-11-23T01:30:35.7465193Z 'guarded_class': 2022-11-23T01:30:35.7465257Z } 2022-11-23T01:30:35.7465318Z 2022-11-23T01:30:35.7465386Z - 2022-11-23T01:30:35.7465505Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7465567Z { 2022-11-23T01:30:35.7465689Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7465904Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7466022Z 'obj_weakref': None 2022-11-23T01:30:35.7466243Z 'guarded_class': 2022-11-23T01:30:35.7466305Z } 2022-11-23T01:30:35.7466368Z 2022-11-23T01:30:35.7466435Z - 2022-11-23T01:30:35.7466555Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7466617Z { 2022-11-23T01:30:35.7466764Z 'guard_types': None, 2022-11-23T01:30:35.7466872Z 'code': None, 2022-11-23T01:30:35.7466988Z 'obj_weakref': None 2022-11-23T01:30:35.7467107Z 'guarded_class': None 2022-11-23T01:30:35.7467158Z } 2022-11-23T01:30:35.7467220Z 2022-11-23T01:30:35.7467479Z [2022-11-23 01:25:01,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200 2022-11-23T01:30:35.7467847Z [2022-11-23 01:25:03,159] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/cofuwhexr5m3ozotg2vi6lytwb5otwkukwakygnsbovczboj5srr.py 2022-11-23T01:30:35.7468113Z [2022-11-23 01:25:03,159] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200 2022-11-23T01:30:35.7468350Z [2022-11-23 01:25:03,163] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7468697Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7468915Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7469165Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7469428Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7469746Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7470094Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7470425Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7470796Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7470889Z 3551 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7470983Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:30:35.7471071Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7471161Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7471166Z 2022-11-23T01:30:35.7471257Z 3552 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:35.7471335Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:30:35.7471424Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:30:35.7471527Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:30:35.7471615Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7471708Z 18 LOAD_CONST 0 (None) 2022-11-23T01:30:35.7471795Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7471882Z 22 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7471954Z 24 BUILD_LIST 3 2022-11-23T01:30:35.7472040Z 26 LOAD_FAST 3 (d) 2022-11-23T01:30:35.7472125Z 28 LOAD_FAST 4 (e) 2022-11-23T01:30:35.7472208Z 30 CALL_METHOD 4 2022-11-23T01:30:35.7472279Z 32 POP_TOP 2022-11-23T01:30:35.7472285Z 2022-11-23T01:30:35.7472369Z 3553 34 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7472443Z 36 RETURN_VALUE 2022-11-23T01:30:35.7472492Z 2022-11-23T01:30:35.7472509Z 2022-11-23T01:30:35.7472811Z [2022-11-23 01:25:03,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551 2022-11-23T01:30:35.7473048Z [2022-11-23 01:25:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7473294Z [2022-11-23 01:25:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:30:35.7473573Z [2022-11-23 01:25:03,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:30:35.7473812Z [2022-11-23 01:25:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7474120Z [2022-11-23 01:25:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552 2022-11-23T01:30:35.7474339Z [2022-11-23 01:25:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7474700Z [2022-11-23 01:25:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7475024Z [2022-11-23 01:25:03,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7475322Z [2022-11-23 01:25:03,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:30:35.7475579Z [2022-11-23 01:25:03,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:30:35.7475867Z [2022-11-23 01:25:03,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:30:35.7476198Z [2022-11-23 01:25:03,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:35.7476562Z [2022-11-23 01:25:03,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:30:35.7476954Z [2022-11-23 01:25:03,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7477258Z [2022-11-23 01:25:03,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7477591Z [2022-11-23 01:25:03,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7477973Z [2022-11-23 01:25:03,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:35.7478216Z [2022-11-23 01:25:03,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7478528Z [2022-11-23 01:25:03,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553 2022-11-23T01:30:35.7478733Z [2022-11-23 01:25:03,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7478966Z [2022-11-23 01:25:03,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7479346Z [2022-11-23 01:25:03,175] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7479588Z [2022-11-23 01:25:03,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7479821Z [2022-11-23 01:25:03,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7480160Z [2022-11-23 01:25:03,177] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7480453Z [2022-11-23 01:25:03,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7480642Z [2022-11-23 01:25:03,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7480775Z __compiled_fn_203 .1679 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7480865Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7480938Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7481020Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7481104Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:35.7481196Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:30:35.7481343Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {} 2022-11-23T01:30:35.7481469Z output, output, output, ((clone,),), {} 2022-11-23T01:30:35.7481474Z 2022-11-23T01:30:35.7481806Z [2022-11-23 01:25:03,180] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7481897Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7481975Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7482060Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7482151Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7482235Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7482322Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7482397Z 12 RETURN_VALUE 2022-11-23T01:30:35.7482403Z 2022-11-23T01:30:35.7482463Z 2022-11-23T01:30:35.7482774Z [2022-11-23 01:25:03,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7482884Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_203) 2022-11-23T01:30:35.7482972Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7483061Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7483136Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7483224Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7483312Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7483373Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7483459Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7483543Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7483615Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7483699Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7483782Z 22 LOAD_CONST 4 (3) 2022-11-23T01:30:35.7483855Z 24 BINARY_SUBSCR 2022-11-23T01:30:35.7483929Z 26 CALL_FUNCTION 4 2022-11-23T01:30:35.7484021Z 28 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7484095Z 30 RETURN_VALUE 2022-11-23T01:30:35.7484100Z 2022-11-23T01:30:35.7484159Z 2022-11-23T01:30:35.7484342Z [2022-11-23 01:25:03,181] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7484414Z - 2022-11-23T01:30:35.7484531Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7484582Z { 2022-11-23T01:30:35.7484722Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7485020Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 5'], 2022-11-23T01:30:35.7485138Z 'obj_weakref': None 2022-11-23T01:30:35.7485360Z 'guarded_class': 2022-11-23T01:30:35.7485425Z } 2022-11-23T01:30:35.7485488Z 2022-11-23T01:30:35.7485555Z - 2022-11-23T01:30:35.7485666Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7485726Z { 2022-11-23T01:30:35.7485871Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7485980Z 'code': None, 2022-11-23T01:30:35.7486244Z 'obj_weakref': 2022-11-23T01:30:35.7486499Z 'guarded_class': 2022-11-23T01:30:35.7486561Z } 2022-11-23T01:30:35.7486611Z 2022-11-23T01:30:35.7486678Z - 2022-11-23T01:30:35.7486801Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7486863Z { 2022-11-23T01:30:35.7487004Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7487108Z 'code': None, 2022-11-23T01:30:35.7487305Z 'obj_weakref': 2022-11-23T01:30:35.7487553Z 'guarded_class': 2022-11-23T01:30:35.7487658Z } 2022-11-23T01:30:35.7487720Z 2022-11-23T01:30:35.7487790Z - 2022-11-23T01:30:35.7487910Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7487977Z { 2022-11-23T01:30:35.7488106Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7488212Z 'code': None, 2022-11-23T01:30:35.7488416Z 'obj_weakref': 2022-11-23T01:30:35.7488665Z 'guarded_class': 2022-11-23T01:30:35.7488726Z } 2022-11-23T01:30:35.7488789Z 2022-11-23T01:30:35.7488857Z - 2022-11-23T01:30:35.7488981Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:35.7489030Z { 2022-11-23T01:30:35.7489167Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7489274Z 'code': None, 2022-11-23T01:30:35.7489479Z 'obj_weakref': 2022-11-23T01:30:35.7489725Z 'guarded_class': 2022-11-23T01:30:35.7489787Z } 2022-11-23T01:30:35.7489849Z 2022-11-23T01:30:35.7489904Z - 2022-11-23T01:30:35.7490031Z local 'ex[4]' CONSTANT_MATCH 2022-11-23T01:30:35.7490092Z { 2022-11-23T01:30:35.7490224Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7490391Z 'code': ['___check_obj_id(ex[4], 94427249932000)'], 2022-11-23T01:30:35.7490509Z 'obj_weakref': None 2022-11-23T01:30:35.7490726Z 'guarded_class': 2022-11-23T01:30:35.7490776Z } 2022-11-23T01:30:35.7490838Z 2022-11-23T01:30:35.7490906Z - 2022-11-23T01:30:35.7491035Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7491099Z { 2022-11-23T01:30:35.7491232Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7491388Z 'code': ['___check_obj_id(model, 140534626914448)'], 2022-11-23T01:30:35.7491506Z 'obj_weakref': None 2022-11-23T01:30:35.7491732Z 'guarded_class': 2022-11-23T01:30:35.7491794Z } 2022-11-23T01:30:35.7491854Z 2022-11-23T01:30:35.7491922Z - 2022-11-23T01:30:35.7492041Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7492091Z { 2022-11-23T01:30:35.7492224Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7492442Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7492559Z 'obj_weakref': None 2022-11-23T01:30:35.7492782Z 'guarded_class': 2022-11-23T01:30:35.7492845Z } 2022-11-23T01:30:35.7492909Z 2022-11-23T01:30:35.7492964Z - 2022-11-23T01:30:35.7493094Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7493184Z { 2022-11-23T01:30:35.7493304Z 'guard_types': None, 2022-11-23T01:30:35.7493409Z 'code': None, 2022-11-23T01:30:35.7493525Z 'obj_weakref': None 2022-11-23T01:30:35.7493644Z 'guarded_class': None 2022-11-23T01:30:35.7493693Z } 2022-11-23T01:30:35.7493755Z 2022-11-23T01:30:35.7494017Z [2022-11-23 01:25:03,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201 2022-11-23T01:30:35.7494382Z [2022-11-23 01:25:03,195] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbbtcxmbunmik7e2h5xin735xm4hrduk6cmqewn62y5cbazs5uk.py 2022-11-23T01:30:35.7494642Z [2022-11-23 01:25:03,195] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201 2022-11-23T01:30:35.7494690Z 2022-11-23T01:30:35.7494785Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7494853Z import torch 2022-11-23T01:30:35.7494921Z import random 2022-11-23T01:30:35.7495026Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7495146Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7495151Z 2022-11-23T01:30:35.7495227Z aten = torch.ops.aten 2022-11-23T01:30:35.7495359Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7495450Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7495455Z 2022-11-23T01:30:35.7495459Z 2022-11-23T01:30:35.7495590Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7495796Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7495913Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7495998Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7496062Z { 2022-11-23T01:30:35.7496158Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7496219Z { 2022-11-23T01:30:35.7496295Z #pragma omp for 2022-11-23T01:30:35.7496379Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:35.7496442Z { 2022-11-23T01:30:35.7496491Z { 2022-11-23T01:30:35.7496554Z { 2022-11-23T01:30:35.7496650Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7496735Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7496800Z } 2022-11-23T01:30:35.7496862Z } 2022-11-23T01:30:35.7496923Z } 2022-11-23T01:30:35.7496971Z } 2022-11-23T01:30:35.7497030Z } 2022-11-23T01:30:35.7497105Z ''') 2022-11-23T01:30:35.7497110Z 2022-11-23T01:30:35.7497114Z 2022-11-23T01:30:35.7497202Z async_compile.wait(globals()) 2022-11-23T01:30:35.7497273Z del async_compile 2022-11-23T01:30:35.7497277Z 2022-11-23T01:30:35.7497346Z def call(args): 2022-11-23T01:30:35.7497436Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.7497496Z args.clear() 2022-11-23T01:30:35.7497696Z buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7497831Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7497898Z del arg0_1 2022-11-23T01:30:35.7498017Z aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False) 2022-11-23T01:30:35.7498083Z del arg1_1 2022-11-23T01:30:35.7498147Z del arg2_1 2022-11-23T01:30:35.7498198Z del arg3_1 2022-11-23T01:30:35.7498268Z return (buf0, ) 2022-11-23T01:30:35.7498273Z 2022-11-23T01:30:35.7498277Z 2022-11-23T01:30:35.7498351Z if __name__ == "__main__": 2022-11-23T01:30:35.7498467Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7498588Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7498791Z arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7498976Z arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7499167Z arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7499381Z arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7499509Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.7499514Z 2022-11-23T01:30:35.7499518Z 2022-11-23T01:30:35.7499609Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7499665Z import torch 2022-11-23T01:30:35.7499734Z import random 2022-11-23T01:30:35.7499846Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7499965Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7499970Z 2022-11-23T01:30:35.7500046Z aten = torch.ops.aten 2022-11-23T01:30:35.7500176Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7500265Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7500270Z 2022-11-23T01:30:35.7500309Z 2022-11-23T01:30:35.7500441Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7500634Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7500750Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7500849Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7500908Z { 2022-11-23T01:30:35.7501004Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7501066Z { 2022-11-23T01:30:35.7501141Z #pragma omp for 2022-11-23T01:30:35.7501210Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:35.7501271Z { 2022-11-23T01:30:35.7501333Z { 2022-11-23T01:30:35.7501395Z { 2022-11-23T01:30:35.7501487Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7501571Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:35.7501622Z } 2022-11-23T01:30:35.7501688Z } 2022-11-23T01:30:35.7501751Z } 2022-11-23T01:30:35.7501811Z } 2022-11-23T01:30:35.7501869Z } 2022-11-23T01:30:35.7501945Z ''') 2022-11-23T01:30:35.7501950Z 2022-11-23T01:30:35.7501954Z 2022-11-23T01:30:35.7502043Z async_compile.wait(globals()) 2022-11-23T01:30:35.7502104Z del async_compile 2022-11-23T01:30:35.7502121Z 2022-11-23T01:30:35.7502179Z def call(args): 2022-11-23T01:30:35.7502267Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.7502337Z args.clear() 2022-11-23T01:30:35.7502537Z buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7502668Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7502735Z del arg0_1 2022-11-23T01:30:35.7502852Z aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True) 2022-11-23T01:30:35.7502906Z del arg1_1 2022-11-23T01:30:35.7502970Z del arg2_1 2022-11-23T01:30:35.7503035Z del arg3_1 2022-11-23T01:30:35.7503105Z return (buf0, ) 2022-11-23T01:30:35.7503112Z 2022-11-23T01:30:35.7503116Z 2022-11-23T01:30:35.7503189Z if __name__ == "__main__": 2022-11-23T01:30:35.7503301Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7503424Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7503613Z arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7503800Z arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7503981Z arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7504163Z arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7504289Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.7504294Z 2022-11-23T01:30:35.7504361Z ok (1.524s) 2022-11-23T01:30:35.7504674Z test_index_select_cpu (__main__.CpuTests) ... [2022-11-23 01:25:03,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7504991Z [2022-11-23 01:25:03,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7505241Z [2022-11-23 01:25:03,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7505482Z [2022-11-23 01:25:03,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7505758Z [2022-11-23 01:25:03,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7506077Z [2022-11-23 01:25:03,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7506421Z [2022-11-23 01:25:03,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7506744Z [2022-11-23 01:25:03,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7507151Z [2022-11-23 01:25:03,200] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7507247Z 2850 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7507348Z 2 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7507437Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7507512Z 6 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7507598Z 8 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7507684Z 10 CALL_METHOD 3 2022-11-23T01:30:35.7507690Z 2022-11-23T01:30:35.7507781Z 2851 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7507879Z 14 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7507968Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7508053Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7508140Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7508215Z 22 CALL_METHOD 3 2022-11-23T01:30:35.7508219Z 2022-11-23T01:30:35.7508309Z 2852 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7508406Z 26 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7508496Z 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7508594Z 30 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7508679Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7508765Z 34 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7508837Z 36 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7508924Z 38 CALL_METHOD 3 2022-11-23T01:30:35.7509009Z 40 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7509096Z 42 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7509180Z 44 CALL_METHOD 3 2022-11-23T01:30:35.7509187Z 2022-11-23T01:30:35.7509273Z 2849 46 BUILD_TUPLE 3 2022-11-23T01:30:35.7509348Z 48 RETURN_VALUE 2022-11-23T01:30:35.7509396Z 2022-11-23T01:30:35.7509413Z 2022-11-23T01:30:35.7509773Z [2022-11-23 01:25:03,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850 2022-11-23T01:30:35.7510039Z [2022-11-23 01:25:03,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7510418Z [2022-11-23 01:25:03,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable()] 2022-11-23T01:30:35.7510751Z [2022-11-23 01:25:03,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7511182Z [2022-11-23 01:25:03,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7511580Z [2022-11-23 01:25:03,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7512019Z [2022-11-23 01:25:03,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7512331Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851 2022-11-23T01:30:35.7512576Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.7513009Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7513367Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7513751Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7514179Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7514633Z [2022-11-23 01:25:03,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7514947Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852 2022-11-23T01:30:35.7515219Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7515654Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7516050Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7516609Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.7517125Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.7517665Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7518266Z [2022-11-23 01:25:03,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7518874Z [2022-11-23 01:25:03,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7519289Z [2022-11-23 01:25:03,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7519777Z [2022-11-23 01:25:03,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7520333Z [2022-11-23 01:25:03,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7520647Z [2022-11-23 01:25:03,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849 2022-11-23T01:30:35.7520943Z [2022-11-23 01:25:03,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7521190Z [2022-11-23 01:25:03,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7521573Z [2022-11-23 01:25:03,205] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7521818Z [2022-11-23 01:25:03,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7522039Z [2022-11-23 01:25:03,205] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7522296Z [2022-11-23 01:25:03,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7522542Z [2022-11-23 01:25:03,210] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7522729Z [2022-11-23 01:25:03,210] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7522863Z __compiled_fn_204 .1685 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7522955Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7523042Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7523309Z call_function, index_select, , (ex_0_, 0, ex_1_), {} 2022-11-23T01:30:35.7523558Z call_function, index_select_1, , (ex_0_, 1, ex_1_), {} 2022-11-23T01:30:35.7523811Z call_function, index_select_2, , (ex_0_, 2, ex_1_), {} 2022-11-23T01:30:35.7524089Z call_function, index_select_3, , (index_select_2, 1, ex_1_), {} 2022-11-23T01:30:35.7524230Z output, output, output, ((index_select, index_select_1, index_select_3),), {} 2022-11-23T01:30:35.7524236Z 2022-11-23T01:30:35.7524563Z [2022-11-23 01:25:03,211] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7524659Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7524833Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7524974Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7525070Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7525143Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7525231Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7525308Z 12 RETURN_VALUE 2022-11-23T01:30:35.7525313Z 2022-11-23T01:30:35.7525373Z 2022-11-23T01:30:35.7525703Z [2022-11-23 01:25:03,211] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7525811Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_204) 2022-11-23T01:30:35.7525901Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7525989Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7526089Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7526178Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7526264Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7526342Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7526431Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.7526532Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7526631Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7526706Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7526781Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7526877Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7526966Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7527040Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7527139Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7527224Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7527288Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7527375Z 36 BUILD_TUPLE 3 2022-11-23T01:30:35.7527448Z 38 RETURN_VALUE 2022-11-23T01:30:35.7527456Z 2022-11-23T01:30:35.7527516Z 2022-11-23T01:30:35.7527702Z [2022-11-23 01:25:03,212] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7527772Z - 2022-11-23T01:30:35.7527889Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7527939Z { 2022-11-23T01:30:35.7528076Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7528262Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.7528380Z 'obj_weakref': None 2022-11-23T01:30:35.7528605Z 'guarded_class': 2022-11-23T01:30:35.7528668Z } 2022-11-23T01:30:35.7528731Z 2022-11-23T01:30:35.7528787Z - 2022-11-23T01:30:35.7528913Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7528976Z { 2022-11-23T01:30:35.7529117Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7529224Z 'code': None, 2022-11-23T01:30:35.7529436Z 'obj_weakref': 2022-11-23T01:30:35.7529688Z 'guarded_class': 2022-11-23T01:30:35.7529738Z } 2022-11-23T01:30:35.7529801Z 2022-11-23T01:30:35.7529871Z - 2022-11-23T01:30:35.7529995Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7530055Z { 2022-11-23T01:30:35.7530194Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7530297Z 'code': None, 2022-11-23T01:30:35.7530491Z 'obj_weakref': 2022-11-23T01:30:35.7530736Z 'guarded_class': 2022-11-23T01:30:35.7530801Z } 2022-11-23T01:30:35.7530862Z 2022-11-23T01:30:35.7530930Z - 2022-11-23T01:30:35.7531089Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7531152Z { 2022-11-23T01:30:35.7531273Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7531442Z 'code': ['___check_obj_id(model, 140534625216128)'], 2022-11-23T01:30:35.7531559Z 'obj_weakref': None 2022-11-23T01:30:35.7531788Z 'guarded_class': 2022-11-23T01:30:35.7531850Z } 2022-11-23T01:30:35.7531910Z 2022-11-23T01:30:35.7531977Z - 2022-11-23T01:30:35.7532087Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7532149Z { 2022-11-23T01:30:35.7532284Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7532502Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7532648Z 'obj_weakref': None 2022-11-23T01:30:35.7532873Z 'guarded_class': 2022-11-23T01:30:35.7532936Z } 2022-11-23T01:30:35.7532985Z 2022-11-23T01:30:35.7533054Z - 2022-11-23T01:30:35.7533185Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7533247Z { 2022-11-23T01:30:35.7533364Z 'guard_types': None, 2022-11-23T01:30:35.7533468Z 'code': None, 2022-11-23T01:30:35.7533583Z 'obj_weakref': None 2022-11-23T01:30:35.7533690Z 'guarded_class': None 2022-11-23T01:30:35.7533752Z } 2022-11-23T01:30:35.7533816Z 2022-11-23T01:30:35.7534075Z [2022-11-23 01:25:03,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202 2022-11-23T01:30:35.7534447Z [2022-11-23 01:25:04,703] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflrdsfptcz2rk2t3r62hriwpz5dlxshxs7f4kwjtueuykeanjeq.py 2022-11-23T01:30:35.7534713Z [2022-11-23 01:25:04,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202 2022-11-23T01:30:35.7534946Z [2022-11-23 01:25:04,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7535254Z [2022-11-23 01:25:04,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7535460Z [2022-11-23 01:25:04,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7535713Z [2022-11-23 01:25:04,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7535988Z [2022-11-23 01:25:04,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7536309Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7536659Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7536979Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7537351Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7537447Z 2850 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7537549Z 2 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7537639Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7537718Z 6 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7537804Z 8 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7537920Z 10 CALL_METHOD 3 2022-11-23T01:30:35.7537926Z 2022-11-23T01:30:35.7538020Z 2851 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7538121Z 14 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7538207Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7538293Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7538365Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7538452Z 22 CALL_METHOD 3 2022-11-23T01:30:35.7538457Z 2022-11-23T01:30:35.7538546Z 2852 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7538644Z 26 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7538735Z 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7538876Z 30 LOAD_METHOD 1 (index_select) 2022-11-23T01:30:35.7538963Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7539050Z 34 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7539122Z 36 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7539208Z 38 CALL_METHOD 3 2022-11-23T01:30:35.7539294Z 40 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7539377Z 42 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7539462Z 44 CALL_METHOD 3 2022-11-23T01:30:35.7539466Z 2022-11-23T01:30:35.7539550Z 2849 46 BUILD_TUPLE 3 2022-11-23T01:30:35.7539625Z 48 RETURN_VALUE 2022-11-23T01:30:35.7539673Z 2022-11-23T01:30:35.7539690Z 2022-11-23T01:30:35.7539996Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850 2022-11-23T01:30:35.7540217Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7540595Z [2022-11-23 01:25:04,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable()] 2022-11-23T01:30:35.7540932Z [2022-11-23 01:25:04,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7541292Z [2022-11-23 01:25:04,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7541686Z [2022-11-23 01:25:04,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7542119Z [2022-11-23 01:25:04,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7542434Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851 2022-11-23T01:30:35.7542678Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.7543079Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7543438Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7543829Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7544270Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7544731Z [2022-11-23 01:25:04,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7545041Z [2022-11-23 01:25:04,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852 2022-11-23T01:30:35.7545312Z [2022-11-23 01:25:04,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7545782Z [2022-11-23 01:25:04,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7546184Z [2022-11-23 01:25:04,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7546740Z [2022-11-23 01:25:04,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.7547254Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:30:35.7547800Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7548375Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7548978Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7549396Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7549848Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7550335Z [2022-11-23 01:25:04,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7550652Z [2022-11-23 01:25:04,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849 2022-11-23T01:30:35.7550977Z [2022-11-23 01:25:04,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7551223Z [2022-11-23 01:25:04,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7551601Z [2022-11-23 01:25:04,713] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7551847Z [2022-11-23 01:25:04,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7552068Z [2022-11-23 01:25:04,713] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7552322Z [2022-11-23 01:25:04,715] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7552604Z [2022-11-23 01:25:04,721] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7552789Z [2022-11-23 01:25:04,722] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7552923Z __compiled_fn_205 .1691 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7553012Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7553096Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7553358Z call_function, index_select, , (ex_0_, 0, ex_1_), {} 2022-11-23T01:30:35.7553607Z call_function, index_select_1, , (ex_0_, 1, ex_1_), {} 2022-11-23T01:30:35.7553856Z call_function, index_select_2, , (ex_0_, 2, ex_1_), {} 2022-11-23T01:30:35.7554129Z call_function, index_select_3, , (index_select_2, 1, ex_1_), {} 2022-11-23T01:30:35.7554274Z output, output, output, ((index_select, index_select_1, index_select_3),), {} 2022-11-23T01:30:35.7554280Z 2022-11-23T01:30:35.7554603Z [2022-11-23 01:25:04,723] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7554695Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7554784Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7554869Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7554958Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7555031Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7555117Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7555191Z 12 RETURN_VALUE 2022-11-23T01:30:35.7555197Z 2022-11-23T01:30:35.7555256Z 2022-11-23T01:30:35.7555582Z [2022-11-23 01:25:04,723] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7555690Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_205) 2022-11-23T01:30:35.7555780Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7555855Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7555932Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7556019Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7556107Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7556182Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7556269Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.7556370Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7556458Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7556545Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7556622Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7556724Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7556841Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7556915Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7557013Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7557099Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7557160Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7557245Z 36 BUILD_TUPLE 3 2022-11-23T01:30:35.7557322Z 38 RETURN_VALUE 2022-11-23T01:30:35.7557327Z 2022-11-23T01:30:35.7557386Z 2022-11-23T01:30:35.7557569Z [2022-11-23 01:25:04,724] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7557638Z - 2022-11-23T01:30:35.7557755Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7557807Z { 2022-11-23T01:30:35.7557945Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7558163Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.7558283Z 'obj_weakref': None 2022-11-23T01:30:35.7558509Z 'guarded_class': 2022-11-23T01:30:35.7558571Z } 2022-11-23T01:30:35.7558634Z 2022-11-23T01:30:35.7558689Z - 2022-11-23T01:30:35.7558812Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7558874Z { 2022-11-23T01:30:35.7559016Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7559120Z 'code': None, 2022-11-23T01:30:35.7559327Z 'obj_weakref': 2022-11-23T01:30:35.7559579Z 'guarded_class': 2022-11-23T01:30:35.7559629Z } 2022-11-23T01:30:35.7559691Z 2022-11-23T01:30:35.7559763Z - 2022-11-23T01:30:35.7559883Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7559945Z { 2022-11-23T01:30:35.7560173Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7560284Z 'code': None, 2022-11-23T01:30:35.7560481Z 'obj_weakref': 2022-11-23T01:30:35.7560730Z 'guarded_class': 2022-11-23T01:30:35.7560793Z } 2022-11-23T01:30:35.7560856Z 2022-11-23T01:30:35.7560925Z - 2022-11-23T01:30:35.7561057Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7561119Z { 2022-11-23T01:30:35.7561239Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7561407Z 'code': ['___check_obj_id(model, 140534625216128)'], 2022-11-23T01:30:35.7561525Z 'obj_weakref': None 2022-11-23T01:30:35.7561758Z 'guarded_class': 2022-11-23T01:30:35.7561822Z } 2022-11-23T01:30:35.7561883Z 2022-11-23T01:30:35.7561955Z - 2022-11-23T01:30:35.7562063Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7562125Z { 2022-11-23T01:30:35.7562261Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7562474Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7562590Z 'obj_weakref': None 2022-11-23T01:30:35.7562810Z 'guarded_class': 2022-11-23T01:30:35.7562871Z } 2022-11-23T01:30:35.7562921Z 2022-11-23T01:30:35.7562989Z - 2022-11-23T01:30:35.7563121Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7563183Z { 2022-11-23T01:30:35.7563299Z 'guard_types': None, 2022-11-23T01:30:35.7563406Z 'code': None, 2022-11-23T01:30:35.7563523Z 'obj_weakref': None 2022-11-23T01:30:35.7563629Z 'guarded_class': None 2022-11-23T01:30:35.7563728Z } 2022-11-23T01:30:35.7563793Z 2022-11-23T01:30:35.7564054Z [2022-11-23 01:25:04,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203 2022-11-23T01:30:35.7564424Z [2022-11-23 01:25:06,255] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphnqvy5ifk743mgbmxccsixjwnz72hgedwu3rbth7s65bv3qhd4.py 2022-11-23T01:30:35.7564688Z [2022-11-23 01:25:06,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203 2022-11-23T01:30:35.7564694Z 2022-11-23T01:30:35.7564911Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7564982Z import torch 2022-11-23T01:30:35.7565038Z import random 2022-11-23T01:30:35.7565154Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7565328Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7565333Z 2022-11-23T01:30:35.7565410Z aten = torch.ops.aten 2022-11-23T01:30:35.7565548Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7565643Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7565648Z 2022-11-23T01:30:35.7565652Z 2022-11-23T01:30:35.7565788Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7565980Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7566097Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:35.7566202Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7566303Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7566399Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7566492Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7566553Z { 2022-11-23T01:30:35.7566654Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7566706Z { 2022-11-23T01:30:35.7566782Z #pragma omp for 2022-11-23T01:30:35.7566864Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.7566929Z { 2022-11-23T01:30:35.7567009Z #pragma GCC ivdep 2022-11-23T01:30:35.7567094Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:35.7567145Z { 2022-11-23T01:30:35.7567209Z { 2022-11-23T01:30:35.7567275Z { 2022-11-23T01:30:35.7567370Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7567476Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:30:35.7567571Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:30:35.7567637Z } 2022-11-23T01:30:35.7567687Z } 2022-11-23T01:30:35.7567752Z } 2022-11-23T01:30:35.7567815Z } 2022-11-23T01:30:35.7567893Z #pragma omp for 2022-11-23T01:30:35.7567973Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7568036Z { 2022-11-23T01:30:35.7568115Z #pragma GCC ivdep 2022-11-23T01:30:35.7568185Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.7568252Z { 2022-11-23T01:30:35.7568333Z #pragma GCC ivdep 2022-11-23T01:30:35.7568421Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:30:35.7568485Z { 2022-11-23T01:30:35.7568550Z { 2022-11-23T01:30:35.7568617Z { 2022-11-23T01:30:35.7568700Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.7568810Z auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)]; 2022-11-23T01:30:35.7568915Z out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1; 2022-11-23T01:30:35.7568984Z } 2022-11-23T01:30:35.7569050Z } 2022-11-23T01:30:35.7569112Z } 2022-11-23T01:30:35.7569175Z } 2022-11-23T01:30:35.7569226Z } 2022-11-23T01:30:35.7569302Z #pragma omp for 2022-11-23T01:30:35.7569383Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7569445Z { 2022-11-23T01:30:35.7569559Z #pragma GCC ivdep 2022-11-23T01:30:35.7569641Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.7569691Z { 2022-11-23T01:30:35.7569774Z #pragma GCC ivdep 2022-11-23T01:30:35.7569864Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:30:35.7569928Z { 2022-11-23T01:30:35.7569993Z { 2022-11-23T01:30:35.7570059Z { 2022-11-23T01:30:35.7570154Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.7570234Z auto tmp1 = in_ptr0[i2]; 2022-11-23T01:30:35.7570348Z auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)]; 2022-11-23T01:30:35.7570450Z out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2; 2022-11-23T01:30:35.7570547Z } 2022-11-23T01:30:35.7570612Z } 2022-11-23T01:30:35.7570675Z } 2022-11-23T01:30:35.7570739Z } 2022-11-23T01:30:35.7570790Z } 2022-11-23T01:30:35.7570851Z } 2022-11-23T01:30:35.7570911Z } 2022-11-23T01:30:35.7570992Z ''') 2022-11-23T01:30:35.7570997Z 2022-11-23T01:30:35.7571001Z 2022-11-23T01:30:35.7571092Z async_compile.wait(globals()) 2022-11-23T01:30:35.7571164Z del async_compile 2022-11-23T01:30:35.7571169Z 2022-11-23T01:30:35.7571238Z def call(args): 2022-11-23T01:30:35.7571300Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.7571370Z args.clear() 2022-11-23T01:30:35.7571575Z buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7571772Z buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7571965Z buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7572183Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7572252Z del arg0_1 2022-11-23T01:30:35.7572321Z del arg1_1 2022-11-23T01:30:35.7572392Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7572396Z 2022-11-23T01:30:35.7572400Z 2022-11-23T01:30:35.7572475Z if __name__ == "__main__": 2022-11-23T01:30:35.7572589Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7572711Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7572914Z arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7573103Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:35.7573216Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.7573221Z 2022-11-23T01:30:35.7573226Z 2022-11-23T01:30:35.7573318Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7573378Z import torch 2022-11-23T01:30:35.7573448Z import random 2022-11-23T01:30:35.7573560Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7573682Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7573687Z 2022-11-23T01:30:35.7573764Z aten = torch.ops.aten 2022-11-23T01:30:35.7573895Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7573987Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7573991Z 2022-11-23T01:30:35.7573995Z 2022-11-23T01:30:35.7574126Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7574318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7574435Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.7574538Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7574642Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7574735Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7574829Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7574888Z { 2022-11-23T01:30:35.7575006Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7575071Z { 2022-11-23T01:30:35.7575147Z #pragma omp for 2022-11-23T01:30:35.7575228Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.7575290Z { 2022-11-23T01:30:35.7575366Z #pragma GCC ivdep 2022-11-23T01:30:35.7575449Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:35.7575500Z { 2022-11-23T01:30:35.7575563Z { 2022-11-23T01:30:35.7575628Z { 2022-11-23T01:30:35.7575722Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7575825Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:30:35.7575921Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:30:35.7575987Z } 2022-11-23T01:30:35.7576038Z } 2022-11-23T01:30:35.7576136Z } 2022-11-23T01:30:35.7576198Z } 2022-11-23T01:30:35.7576274Z #pragma omp for 2022-11-23T01:30:35.7576354Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7576417Z { 2022-11-23T01:30:35.7576496Z #pragma GCC ivdep 2022-11-23T01:30:35.7576566Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.7576628Z { 2022-11-23T01:30:35.7576709Z #pragma GCC ivdep 2022-11-23T01:30:35.7576797Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:30:35.7576860Z { 2022-11-23T01:30:35.7576924Z { 2022-11-23T01:30:35.7576979Z { 2022-11-23T01:30:35.7577074Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.7577183Z auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)]; 2022-11-23T01:30:35.7577285Z out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1; 2022-11-23T01:30:35.7577352Z } 2022-11-23T01:30:35.7577418Z } 2022-11-23T01:30:35.7577481Z } 2022-11-23T01:30:35.7577531Z } 2022-11-23T01:30:35.7577590Z } 2022-11-23T01:30:35.7577666Z #pragma omp for 2022-11-23T01:30:35.7577746Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7577807Z { 2022-11-23T01:30:35.7577884Z #pragma GCC ivdep 2022-11-23T01:30:35.7577964Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.7578014Z { 2022-11-23T01:30:35.7578094Z #pragma GCC ivdep 2022-11-23T01:30:35.7578180Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:30:35.7578242Z { 2022-11-23T01:30:35.7578307Z { 2022-11-23T01:30:35.7578373Z { 2022-11-23T01:30:35.7578465Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.7578545Z auto tmp1 = in_ptr0[i2]; 2022-11-23T01:30:35.7578659Z auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)]; 2022-11-23T01:30:35.7578763Z out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2; 2022-11-23T01:30:35.7578830Z } 2022-11-23T01:30:35.7578896Z } 2022-11-23T01:30:35.7578958Z } 2022-11-23T01:30:35.7579020Z } 2022-11-23T01:30:35.7579068Z } 2022-11-23T01:30:35.7579129Z } 2022-11-23T01:30:35.7579190Z } 2022-11-23T01:30:35.7579269Z ''') 2022-11-23T01:30:35.7579274Z 2022-11-23T01:30:35.7579278Z 2022-11-23T01:30:35.7579367Z async_compile.wait(globals()) 2022-11-23T01:30:35.7579438Z del async_compile 2022-11-23T01:30:35.7579443Z 2022-11-23T01:30:35.7579511Z def call(args): 2022-11-23T01:30:35.7579572Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.7579643Z args.clear() 2022-11-23T01:30:35.7579845Z buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7580045Z buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7580242Z buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7580489Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7580558Z del arg0_1 2022-11-23T01:30:35.7580624Z del arg1_1 2022-11-23T01:30:35.7580694Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7580698Z 2022-11-23T01:30:35.7580702Z 2022-11-23T01:30:35.7580779Z if __name__ == "__main__": 2022-11-23T01:30:35.7580893Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7581015Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7581215Z arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7581403Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7581517Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.7581566Z 2022-11-23T01:30:35.7581633Z ok (3.105s) 2022-11-23T01:30:35.7581957Z test_indirect_load_broadcast_cpu (__main__.CpuTests) ... [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7582276Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7582493Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7582746Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7583022Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7583341Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7583697Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7584019Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7584394Z [2022-11-23 01:25:06,367] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7584488Z 3317 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7584570Z 2 LOAD_METHOD 1 (gather) 2022-11-23T01:30:35.7584663Z 4 LOAD_FAST 1 (in_ptr1) 2022-11-23T01:30:35.7584752Z 6 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7584844Z 8 LOAD_FAST 2 (in_ptr2) 2022-11-23T01:30:35.7584933Z 10 CALL_METHOD 3 2022-11-23T01:30:35.7585023Z 12 LOAD_FAST 0 (in_ptr0) 2022-11-23T01:30:35.7585097Z 14 BINARY_ADD 2022-11-23T01:30:35.7585159Z 16 RETURN_VALUE 2022-11-23T01:30:35.7585220Z 2022-11-23T01:30:35.7585225Z 2022-11-23T01:30:35.7585541Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3317 2022-11-23T01:30:35.7585759Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7586127Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable()] 2022-11-23T01:30:35.7586458Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable()] 2022-11-23T01:30:35.7586839Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7587241Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7587665Z [2022-11-23 01:25:06,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.7587909Z [2022-11-23 01:25:06,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()] 2022-11-23T01:30:35.7588183Z [2022-11-23 01:25:06,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7588448Z [2022-11-23 01:25:06,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7588830Z [2022-11-23 01:25:06,370] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7589073Z [2022-11-23 01:25:06,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7589306Z [2022-11-23 01:25:06,370] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7589558Z [2022-11-23 01:25:06,371] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7589805Z [2022-11-23 01:25:06,375] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7589993Z [2022-11-23 01:25:06,376] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7590130Z __compiled_fn_206 .1697 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7590218Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7590293Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7590378Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7590626Z call_function, gather, , (ex_1_, 0, ex_2_), {} 2022-11-23T01:30:35.7590808Z call_function, add, , (gather, ex_0_), {} 2022-11-23T01:30:35.7590901Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.7590907Z 2022-11-23T01:30:35.7591231Z [2022-11-23 01:25:06,376] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7591322Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7591412Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7591485Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7591579Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7591663Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7591753Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7591829Z 12 RETURN_VALUE 2022-11-23T01:30:35.7591834Z 2022-11-23T01:30:35.7591894Z 2022-11-23T01:30:35.7592216Z [2022-11-23 01:25:06,376] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7592323Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_206) 2022-11-23T01:30:35.7592400Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7592488Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7592563Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7592650Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7592738Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7592815Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7592901Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7592974Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7593092Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7593183Z 20 CALL_FUNCTION 3 2022-11-23T01:30:35.7593272Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7593344Z 24 RETURN_VALUE 2022-11-23T01:30:35.7593350Z 2022-11-23T01:30:35.7593409Z 2022-11-23T01:30:35.7593590Z [2022-11-23 01:25:06,377] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7593648Z - 2022-11-23T01:30:35.7593765Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7593828Z { 2022-11-23T01:30:35.7593968Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7594153Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:35.7594271Z 'obj_weakref': None 2022-11-23T01:30:35.7594530Z 'guarded_class': 2022-11-23T01:30:35.7594581Z } 2022-11-23T01:30:35.7594644Z 2022-11-23T01:30:35.7594716Z - 2022-11-23T01:30:35.7594841Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7594903Z { 2022-11-23T01:30:35.7595044Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7595150Z 'code': None, 2022-11-23T01:30:35.7595348Z 'obj_weakref': 2022-11-23T01:30:35.7595599Z 'guarded_class': 2022-11-23T01:30:35.7595663Z } 2022-11-23T01:30:35.7595725Z 2022-11-23T01:30:35.7595794Z - 2022-11-23T01:30:35.7595915Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7595977Z { 2022-11-23T01:30:35.7596103Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7596210Z 'code': None, 2022-11-23T01:30:35.7596415Z 'obj_weakref': 2022-11-23T01:30:35.7596662Z 'guarded_class': 2022-11-23T01:30:35.7596724Z } 2022-11-23T01:30:35.7596785Z 2022-11-23T01:30:35.7596853Z - 2022-11-23T01:30:35.7596960Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7597024Z { 2022-11-23T01:30:35.7597160Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7597265Z 'code': None, 2022-11-23T01:30:35.7597469Z 'obj_weakref': 2022-11-23T01:30:35.7597708Z 'guarded_class': 2022-11-23T01:30:35.7597771Z } 2022-11-23T01:30:35.7597824Z 2022-11-23T01:30:35.7597895Z - 2022-11-23T01:30:35.7598032Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7598097Z { 2022-11-23T01:30:35.7598232Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7598401Z 'code': ['___check_obj_id(model, 140534643340144)'], 2022-11-23T01:30:35.7598518Z 'obj_weakref': None 2022-11-23T01:30:35.7598732Z 'guarded_class': 2022-11-23T01:30:35.7598797Z } 2022-11-23T01:30:35.7598859Z 2022-11-23T01:30:35.7598929Z - 2022-11-23T01:30:35.7599050Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7599114Z { 2022-11-23T01:30:35.7599248Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7599447Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7599565Z 'obj_weakref': None 2022-11-23T01:30:35.7599790Z 'guarded_class': 2022-11-23T01:30:35.7599855Z } 2022-11-23T01:30:35.7599947Z 2022-11-23T01:30:35.7600113Z - 2022-11-23T01:30:35.7600251Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7600302Z { 2022-11-23T01:30:35.7600421Z 'guard_types': None, 2022-11-23T01:30:35.7600525Z 'code': None, 2022-11-23T01:30:35.7600642Z 'obj_weakref': None 2022-11-23T01:30:35.7600762Z 'guarded_class': None 2022-11-23T01:30:35.7600825Z } 2022-11-23T01:30:35.7600888Z 2022-11-23T01:30:35.7601135Z [2022-11-23 01:25:06,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204 2022-11-23T01:30:35.7601508Z [2022-11-23 01:25:07,812] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckd7zcpsoyponx7v7ag3nkgadiooe2nok5gbm2kui5osxfpt67xb.py 2022-11-23T01:30:35.7601818Z [2022-11-23 01:25:07,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204 2022-11-23T01:30:35.7601823Z 2022-11-23T01:30:35.7601920Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7601989Z import torch 2022-11-23T01:30:35.7602058Z import random 2022-11-23T01:30:35.7602172Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7602292Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7602297Z 2022-11-23T01:30:35.7602362Z aten = torch.ops.aten 2022-11-23T01:30:35.7602496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7602588Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7602593Z 2022-11-23T01:30:35.7602598Z 2022-11-23T01:30:35.7602731Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7602939Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7603059Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.7603162Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.7603266Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.7603352Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7603413Z { 2022-11-23T01:30:35.7603510Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7603575Z { 2022-11-23T01:30:35.7603652Z #pragma omp for 2022-11-23T01:30:35.7603734Z for(long i0=0; i0<21; i0+=1) 2022-11-23T01:30:35.7603796Z { 2022-11-23T01:30:35.7603862Z #pragma GCC ivdep 2022-11-23T01:30:35.7603945Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:35.7604010Z { 2022-11-23T01:30:35.7604077Z { 2022-11-23T01:30:35.7604146Z { 2022-11-23T01:30:35.7604248Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:35.7604329Z auto tmp2 = in_ptr2[i1]; 2022-11-23T01:30:35.7604433Z auto tmp1 = in_ptr1[i0 + (512*tmp0)]; 2022-11-23T01:30:35.7604525Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.7604625Z out_ptr0[i1 + (32*i0)] = tmp3; 2022-11-23T01:30:35.7604695Z } 2022-11-23T01:30:35.7604838Z } 2022-11-23T01:30:35.7604902Z } 2022-11-23T01:30:35.7604951Z } 2022-11-23T01:30:35.7605013Z } 2022-11-23T01:30:35.7605073Z } 2022-11-23T01:30:35.7605154Z ''') 2022-11-23T01:30:35.7605159Z 2022-11-23T01:30:35.7605163Z 2022-11-23T01:30:35.7605253Z async_compile.wait(globals()) 2022-11-23T01:30:35.7605324Z del async_compile 2022-11-23T01:30:35.7605329Z 2022-11-23T01:30:35.7605400Z def call(args): 2022-11-23T01:30:35.7605480Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.7605538Z args.clear() 2022-11-23T01:30:35.7605738Z buf0 = empty_strided((32, 21), (1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7605930Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7605998Z del arg0_1 2022-11-23T01:30:35.7606110Z del arg1_1 2022-11-23T01:30:35.7606178Z del arg2_1 2022-11-23T01:30:35.7606248Z return (buf0, ) 2022-11-23T01:30:35.7606253Z 2022-11-23T01:30:35.7606257Z 2022-11-23T01:30:35.7606319Z if __name__ == "__main__": 2022-11-23T01:30:35.7606434Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7606556Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7606755Z arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7606959Z arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7607152Z arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7607272Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.7607349Z 2022-11-23T01:30:35.7607417Z ok (1.512s) 2022-11-23T01:30:35.7607702Z test_inf_cpu (__main__.CpuTests) ... [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7608020Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7608235Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7608487Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7608763Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7609083Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7609429Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7609754Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7610129Z [2022-11-23 01:25:07,817] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7610222Z 2754 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7610304Z 2 LOAD_GLOBAL 0 (float) 2022-11-23T01:30:35.7610442Z 4 LOAD_CONST 1 ('inf') 2022-11-23T01:30:35.7610531Z 6 CALL_FUNCTION 1 2022-11-23T01:30:35.7610605Z 8 BINARY_ADD 2022-11-23T01:30:35.7610695Z 10 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7610789Z 12 LOAD_GLOBAL 0 (float) 2022-11-23T01:30:35.7610927Z 14 LOAD_CONST 2 ('-inf') 2022-11-23T01:30:35.7611004Z 16 CALL_FUNCTION 1 2022-11-23T01:30:35.7611077Z 18 BINARY_ADD 2022-11-23T01:30:35.7611164Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7611257Z 22 LOAD_GLOBAL 0 (float) 2022-11-23T01:30:35.7611389Z 24 LOAD_CONST 1 ('inf') 2022-11-23T01:30:35.7611476Z 26 CALL_FUNCTION 1 2022-11-23T01:30:35.7611554Z 28 UNARY_NEGATIVE 2022-11-23T01:30:35.7611621Z 30 BINARY_MULTIPLY 2022-11-23T01:30:35.7611708Z 32 BUILD_TUPLE 3 2022-11-23T01:30:35.7611784Z 34 RETURN_VALUE 2022-11-23T01:30:35.7611844Z 2022-11-23T01:30:35.7611849Z 2022-11-23T01:30:35.7612164Z [2022-11-23 01:25:07,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2754 2022-11-23T01:30:35.7612403Z [2022-11-23 01:25:07,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7612651Z [2022-11-23 01:25:07,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()] 2022-11-23T01:30:35.7612929Z [2022-11-23 01:25:07,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)] 2022-11-23T01:30:35.7613245Z [2022-11-23 01:25:07,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:30:35.7613515Z [2022-11-23 01:25:07,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7613752Z [2022-11-23 01:25:07,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:35.7614021Z [2022-11-23 01:25:07,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7614360Z [2022-11-23 01:25:07,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)] 2022-11-23T01:30:35.7614706Z [2022-11-23 01:25:07,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:30:35.7615011Z [2022-11-23 01:25:07,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7615273Z [2022-11-23 01:25:07,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7615572Z [2022-11-23 01:25:07,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7615904Z [2022-11-23 01:25:07,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)] 2022-11-23T01:30:35.7616277Z [2022-11-23 01:25:07,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:30:35.7616622Z [2022-11-23 01:25:07,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7616959Z [2022-11-23 01:25:07,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7617256Z [2022-11-23 01:25:07,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7617499Z [2022-11-23 01:25:07,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7617881Z [2022-11-23 01:25:07,821] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7618124Z [2022-11-23 01:25:07,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7618353Z [2022-11-23 01:25:07,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7618607Z [2022-11-23 01:25:07,823] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7618851Z [2022-11-23 01:25:07,826] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7619040Z [2022-11-23 01:25:07,826] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7619173Z __compiled_fn_207 .1703 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7619251Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7619425Z call_function, add, , (ex_0_, inf), {} 2022-11-23T01:30:35.7619639Z call_function, add_1, , (ex_0_, -inf), {} 2022-11-23T01:30:35.7619817Z call_function, mul, , (ex_0_, -inf), {} 2022-11-23T01:30:35.7619924Z output, output, output, ((add, add_1, mul),), {} 2022-11-23T01:30:35.7619929Z 2022-11-23T01:30:35.7620253Z [2022-11-23 01:25:07,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7620344Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7620433Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7620507Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7620599Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7620683Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7620799Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7620874Z 12 RETURN_VALUE 2022-11-23T01:30:35.7620879Z 2022-11-23T01:30:35.7620941Z 2022-11-23T01:30:35.7621268Z [2022-11-23 01:25:07,827] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7621373Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_207) 2022-11-23T01:30:35.7621450Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7621537Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7621614Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7621700Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.7621803Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7621903Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7621990Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7622056Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.7622154Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7622243Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7622318Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7622415Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7622501Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7622573Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7622647Z 30 BUILD_TUPLE 3 2022-11-23T01:30:35.7622720Z 32 RETURN_VALUE 2022-11-23T01:30:35.7622725Z 2022-11-23T01:30:35.7622786Z 2022-11-23T01:30:35.7622965Z [2022-11-23 01:25:07,827] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7623035Z - 2022-11-23T01:30:35.7623151Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7623216Z { 2022-11-23T01:30:35.7623342Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7623531Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.7623648Z 'obj_weakref': None 2022-11-23T01:30:35.7623875Z 'guarded_class': 2022-11-23T01:30:35.7623939Z } 2022-11-23T01:30:35.7624001Z 2022-11-23T01:30:35.7624069Z - 2022-11-23T01:30:35.7624178Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7624242Z { 2022-11-23T01:30:35.7624382Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7624488Z 'code': None, 2022-11-23T01:30:35.7624697Z 'obj_weakref': 2022-11-23T01:30:35.7624946Z 'guarded_class': 2022-11-23T01:30:35.7625009Z } 2022-11-23T01:30:35.7625059Z 2022-11-23T01:30:35.7625130Z - 2022-11-23T01:30:35.7625262Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7625324Z { 2022-11-23T01:30:35.7625486Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7625655Z 'code': ['___check_obj_id(model, 140534626720432)'], 2022-11-23T01:30:35.7625772Z 'obj_weakref': None 2022-11-23T01:30:35.7625991Z 'guarded_class': 2022-11-23T01:30:35.7626053Z } 2022-11-23T01:30:35.7626117Z 2022-11-23T01:30:35.7626186Z - 2022-11-23T01:30:35.7626305Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7626367Z { 2022-11-23T01:30:35.7626500Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7626703Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7626820Z 'obj_weakref': None 2022-11-23T01:30:35.7627083Z 'guarded_class': 2022-11-23T01:30:35.7627145Z } 2022-11-23T01:30:35.7627207Z 2022-11-23T01:30:35.7627277Z - 2022-11-23T01:30:35.7627406Z global 'float' BUILTIN_MATCH 2022-11-23T01:30:35.7627456Z { 2022-11-23T01:30:35.7627573Z 'guard_types': None, 2022-11-23T01:30:35.7627679Z 'code': None, 2022-11-23T01:30:35.7627795Z 'obj_weakref': None 2022-11-23T01:30:35.7627912Z 'guarded_class': None 2022-11-23T01:30:35.7627974Z } 2022-11-23T01:30:35.7628035Z 2022-11-23T01:30:35.7628280Z [2022-11-23 01:25:07,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205 2022-11-23T01:30:35.7628654Z [2022-11-23 01:25:09,535] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mc/cmc5mtecjllhjfroodhcpv25jfqqknjfhra2jmrlhbned7jbhxkp.py 2022-11-23T01:30:35.7628917Z [2022-11-23 01:25:09,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205 2022-11-23T01:30:35.7628923Z 2022-11-23T01:30:35.7629018Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7629087Z import torch 2022-11-23T01:30:35.7629157Z import random 2022-11-23T01:30:35.7629272Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7629391Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7629396Z 2022-11-23T01:30:35.7629461Z aten = torch.ops.aten 2022-11-23T01:30:35.7629595Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7629688Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7629693Z 2022-11-23T01:30:35.7629698Z 2022-11-23T01:30:35.7629828Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7630032Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7630150Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7630250Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7630345Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7630431Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.7630494Z { 2022-11-23T01:30:35.7630592Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7630655Z { 2022-11-23T01:30:35.7630731Z #pragma omp for 2022-11-23T01:30:35.7630811Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:35.7630874Z { 2022-11-23T01:30:35.7631016Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7631166Z auto tmp1 = at::vec::Vectorized(std::numeric_limits::infinity()); 2022-11-23T01:30:35.7631252Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7631472Z auto tmp3 = at::vec::Vectorized(-std::numeric_limits::infinity()); 2022-11-23T01:30:35.7631557Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.7631642Z auto tmp5 = tmp0 * tmp3; 2022-11-23T01:30:35.7631731Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.7631840Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.7631929Z tmp5.store(out_ptr2 + 8*i0); 2022-11-23T01:30:35.7631990Z } 2022-11-23T01:30:35.7632084Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.7632165Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:35.7632226Z { 2022-11-23T01:30:35.7632309Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7632418Z auto tmp1 = std::numeric_limits::infinity(); 2022-11-23T01:30:35.7632501Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7632726Z auto tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.7632809Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:35.7632889Z auto tmp5 = tmp0 * tmp3; 2022-11-23T01:30:35.7632967Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.7633076Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:35.7633140Z out_ptr2[i0] = tmp5; 2022-11-23T01:30:35.7633200Z } 2022-11-23T01:30:35.7633260Z } 2022-11-23T01:30:35.7633322Z } 2022-11-23T01:30:35.7633400Z ''') 2022-11-23T01:30:35.7633405Z 2022-11-23T01:30:35.7633409Z 2022-11-23T01:30:35.7633498Z async_compile.wait(globals()) 2022-11-23T01:30:35.7633569Z del async_compile 2022-11-23T01:30:35.7633574Z 2022-11-23T01:30:35.7633642Z def call(args): 2022-11-23T01:30:35.7633698Z arg0_1, = args 2022-11-23T01:30:35.7633769Z args.clear() 2022-11-23T01:30:35.7633961Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7634151Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7634337Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7634523Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.7634593Z del arg0_1 2022-11-23T01:30:35.7634662Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:35.7634667Z 2022-11-23T01:30:35.7634684Z 2022-11-23T01:30:35.7634748Z if __name__ == "__main__": 2022-11-23T01:30:35.7634861Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7634985Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7635171Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7635277Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7635282Z 2022-11-23T01:30:35.7635347Z ok (1.728s) 2022-11-23T01:30:35.7635670Z test_inplace_activations_cpu (__main__.CpuTests) ... [2022-11-23 01:25:09,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7635985Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7636192Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7636444Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7636719Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7637037Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7637378Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7637698Z [2022-11-23 01:25:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7638069Z [2022-11-23 01:25:09,547] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7638201Z 3397 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7638303Z 2 LOAD_METHOD 1 (hardswish_) 2022-11-23T01:30:35.7638381Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7638470Z 6 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7638543Z 8 BINARY_ADD 2022-11-23T01:30:35.7638631Z 10 CALL_METHOD 1 2022-11-23T01:30:35.7638721Z 12 STORE_FAST 1 (a) 2022-11-23T01:30:35.7638726Z 2022-11-23T01:30:35.7638818Z 3398 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7638916Z 16 LOAD_METHOD 2 (hardtanh_) 2022-11-23T01:30:35.7639003Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7639075Z 20 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7639181Z 22 BINARY_ADD 2022-11-23T01:30:35.7639268Z 24 CALL_METHOD 1 2022-11-23T01:30:35.7639358Z 26 STORE_FAST 2 (b) 2022-11-23T01:30:35.7639363Z 2022-11-23T01:30:35.7639454Z 3399 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7639555Z 30 LOAD_METHOD 3 (leaky_relu_) 2022-11-23T01:30:35.7639643Z 32 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7639717Z 34 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7639793Z 36 BINARY_ADD 2022-11-23T01:30:35.7639880Z 38 CALL_METHOD 1 2022-11-23T01:30:35.7639969Z 40 STORE_FAST 3 (c) 2022-11-23T01:30:35.7639974Z 2022-11-23T01:30:35.7640164Z 3400 42 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7640255Z 44 LOAD_METHOD 4 (silu_) 2022-11-23T01:30:35.7640340Z 46 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7640429Z 48 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7640489Z 50 BINARY_ADD 2022-11-23T01:30:35.7640577Z 52 CALL_METHOD 1 2022-11-23T01:30:35.7640664Z 54 STORE_FAST 4 (d) 2022-11-23T01:30:35.7640668Z 2022-11-23T01:30:35.7640757Z 3401 56 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7640851Z 58 LOAD_METHOD 5 (log1p) 2022-11-23T01:30:35.7640935Z 60 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7641019Z 62 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7641078Z 64 BINARY_ADD 2022-11-23T01:30:35.7641164Z 66 CALL_METHOD 1 2022-11-23T01:30:35.7641251Z 68 STORE_FAST 5 (e) 2022-11-23T01:30:35.7641255Z 2022-11-23T01:30:35.7641345Z 3402 70 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7641446Z 72 LOAD_METHOD 6 (masked_fill_) 2022-11-23T01:30:35.7641534Z 74 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7641619Z 76 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7641693Z 78 BINARY_ADD 2022-11-23T01:30:35.7641772Z 80 LOAD_GLOBAL 7 (torch) 2022-11-23T01:30:35.7641871Z 82 LOAD_ATTR 8 (zeros_like) 2022-11-23T01:30:35.7641958Z 84 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7642051Z 86 LOAD_GLOBAL 7 (torch) 2022-11-23T01:30:35.7642140Z 88 LOAD_ATTR 9 (bool) 2022-11-23T01:30:35.7642291Z 90 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:30:35.7642382Z 92 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.7642457Z 94 LOAD_CONST 3 (99.0) 2022-11-23T01:30:35.7642545Z 96 CALL_METHOD 3 2022-11-23T01:30:35.7642634Z 98 STORE_FAST 6 (f) 2022-11-23T01:30:35.7642641Z 2022-11-23T01:30:35.7642732Z 3403 100 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7642863Z 102 LOAD_METHOD 6 (masked_fill_) 2022-11-23T01:30:35.7642953Z 104 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7643038Z 106 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7643097Z 108 BINARY_ADD 2022-11-23T01:30:35.7643188Z 110 LOAD_GLOBAL 7 (torch) 2022-11-23T01:30:35.7643281Z 112 LOAD_ATTR 10 (ones_like) 2022-11-23T01:30:35.7643368Z 114 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7643458Z 116 LOAD_GLOBAL 7 (torch) 2022-11-23T01:30:35.7643546Z 118 LOAD_ATTR 9 (bool) 2022-11-23T01:30:35.7643695Z 120 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:30:35.7643784Z 122 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.7643890Z 124 LOAD_CONST 3 (99.0) 2022-11-23T01:30:35.7643977Z 126 CALL_METHOD 3 2022-11-23T01:30:35.7644065Z 128 STORE_FAST 7 (h) 2022-11-23T01:30:35.7644069Z 2022-11-23T01:30:35.7644155Z 3404 130 LOAD_FAST 1 (a) 2022-11-23T01:30:35.7644242Z 132 LOAD_FAST 2 (b) 2022-11-23T01:30:35.7644326Z 134 LOAD_FAST 3 (c) 2022-11-23T01:30:35.7644410Z 136 LOAD_FAST 4 (d) 2022-11-23T01:30:35.7644483Z 138 LOAD_FAST 5 (e) 2022-11-23T01:30:35.7644570Z 140 LOAD_FAST 6 (f) 2022-11-23T01:30:35.7644654Z 142 LOAD_FAST 7 (h) 2022-11-23T01:30:35.7644830Z 144 BUILD_TUPLE 7 2022-11-23T01:30:35.7644908Z 146 RETURN_VALUE 2022-11-23T01:30:35.7644969Z 2022-11-23T01:30:35.7644974Z 2022-11-23T01:30:35.7645295Z [2022-11-23 01:25:09,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3397 2022-11-23T01:30:35.7645518Z [2022-11-23 01:25:09,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7645823Z [2022-11-23 01:25:09,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable()] 2022-11-23T01:30:35.7646087Z [2022-11-23 01:25:09,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)] 2022-11-23T01:30:35.7646375Z [2022-11-23 01:25:09,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()] 2022-11-23T01:30:35.7646704Z [2022-11-23 01:25:09,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7646994Z [2022-11-23 01:25:09,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()] 2022-11-23T01:30:35.7647237Z [2022-11-23 01:25:09,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7647548Z [2022-11-23 01:25:09,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3398 2022-11-23T01:30:35.7647764Z [2022-11-23 01:25:09,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7648074Z [2022-11-23 01:25:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable()] 2022-11-23T01:30:35.7648327Z [2022-11-23 01:25:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)] 2022-11-23T01:30:35.7648598Z [2022-11-23 01:25:09,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()] 2022-11-23T01:30:35.7648933Z [2022-11-23 01:25:09,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7649267Z [2022-11-23 01:25:09,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()] 2022-11-23T01:30:35.7649507Z [2022-11-23 01:25:09,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:35.7649822Z [2022-11-23 01:25:09,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3399 2022-11-23T01:30:35.7650035Z [2022-11-23 01:25:09,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7650343Z [2022-11-23 01:25:09,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable()] 2022-11-23T01:30:35.7650599Z [2022-11-23 01:25:09,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)] 2022-11-23T01:30:35.7650923Z [2022-11-23 01:25:09,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()] 2022-11-23T01:30:35.7651253Z [2022-11-23 01:25:09,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7651546Z [2022-11-23 01:25:09,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()] 2022-11-23T01:30:35.7651771Z [2022-11-23 01:25:09,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:35.7652089Z [2022-11-23 01:25:09,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3400 2022-11-23T01:30:35.7652300Z [2022-11-23 01:25:09,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7652603Z [2022-11-23 01:25:09,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable()] 2022-11-23T01:30:35.7652854Z [2022-11-23 01:25:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)] 2022-11-23T01:30:35.7653132Z [2022-11-23 01:25:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()] 2022-11-23T01:30:35.7653450Z [2022-11-23 01:25:09,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7653731Z [2022-11-23 01:25:09,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()] 2022-11-23T01:30:35.7653966Z [2022-11-23 01:25:09,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:30:35.7654276Z [2022-11-23 01:25:09,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3401 2022-11-23T01:30:35.7654483Z [2022-11-23 01:25:09,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7654790Z [2022-11-23 01:25:09,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable()] 2022-11-23T01:30:35.7655038Z [2022-11-23 01:25:09,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)] 2022-11-23T01:30:35.7655319Z [2022-11-23 01:25:09,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()] 2022-11-23T01:30:35.7655643Z [2022-11-23 01:25:09,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7655926Z [2022-11-23 01:25:09,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()] 2022-11-23T01:30:35.7656162Z [2022-11-23 01:25:09,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()] 2022-11-23T01:30:35.7656498Z [2022-11-23 01:25:09,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3402 2022-11-23T01:30:35.7656711Z [2022-11-23 01:25:09,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7657021Z [2022-11-23 01:25:09,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable()] 2022-11-23T01:30:35.7657265Z [2022-11-23 01:25:09,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)] 2022-11-23T01:30:35.7657554Z [2022-11-23 01:25:09,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:30:35.7657919Z [2022-11-23 01:25:09,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7658217Z [2022-11-23 01:25:09,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:30:35.7658672Z [2022-11-23 01:25:09,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7659082Z [2022-11-23 01:25:09,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7659530Z [2022-11-23 01:25:09,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7660124Z [2022-11-23 01:25:09,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7660618Z [2022-11-23 01:25:09,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:30:35.7661154Z [2022-11-23 01:25:09,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:30:35.7661477Z [2022-11-23 01:25:09,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7661835Z [2022-11-23 01:25:09,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7662074Z [2022-11-23 01:25:09,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()] 2022-11-23T01:30:35.7662386Z [2022-11-23 01:25:09,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3403 2022-11-23T01:30:35.7662587Z [2022-11-23 01:25:09,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7662897Z [2022-11-23 01:25:09,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable()] 2022-11-23T01:30:35.7663156Z [2022-11-23 01:25:09,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)] 2022-11-23T01:30:35.7663467Z [2022-11-23 01:25:09,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:30:35.7663800Z [2022-11-23 01:25:09,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7664096Z [2022-11-23 01:25:09,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:30:35.7664551Z [2022-11-23 01:25:09,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7664990Z [2022-11-23 01:25:09,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7665435Z [2022-11-23 01:25:09,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7666028Z [2022-11-23 01:25:09,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7666520Z [2022-11-23 01:25:09,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:30:35.7667055Z [2022-11-23 01:25:09,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:30:35.7667377Z [2022-11-23 01:25:09,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7667736Z [2022-11-23 01:25:09,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7667974Z [2022-11-23 01:25:09,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()] 2022-11-23T01:30:35.7668273Z [2022-11-23 01:25:09,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3404 2022-11-23T01:30:35.7668482Z [2022-11-23 01:25:09,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7668717Z [2022-11-23 01:25:09,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.7668976Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7669266Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7669577Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7669917Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7670319Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7670730Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7670974Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7671350Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7671580Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7671852Z [2022-11-23 01:25:09,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7672107Z [2022-11-23 01:25:09,650] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7672355Z [2022-11-23 01:25:09,672] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7672539Z [2022-11-23 01:25:09,672] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7672672Z __compiled_fn_208 .1709 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7672760Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7672932Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.7673038Z call_function, hardswish_, aten.hardswish_, (add,), {} 2022-11-23T01:30:35.7673212Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.7673326Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {} 2022-11-23T01:30:35.7673500Z call_function, add_2, , (ex_0_, 1), {} 2022-11-23T01:30:35.7673618Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {} 2022-11-23T01:30:35.7673791Z call_function, add_3, , (ex_0_, 1), {} 2022-11-23T01:30:35.7673896Z call_function, silu_, aten.silu_, (add_3,), {} 2022-11-23T01:30:35.7674065Z call_function, add_4, , (ex_0_, 1), {} 2022-11-23T01:30:35.7674157Z call_function, log1p, aten.log1p, (add_4,), {} 2022-11-23T01:30:35.7674327Z call_function, add_5, , (ex_0_, 1), {} 2022-11-23T01:30:35.7674603Z call_function, zeros_like, , (ex_0_,), {'dtype': torch.bool} 2022-11-23T01:30:35.7674739Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {} 2022-11-23T01:30:35.7674906Z call_function, add_6, , (ex_0_, 1), {} 2022-11-23T01:30:35.7675174Z call_function, ones_like, , (ex_0_,), {'dtype': torch.bool} 2022-11-23T01:30:35.7675315Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {} 2022-11-23T01:30:35.7675488Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {} 2022-11-23T01:30:35.7675494Z 2022-11-23T01:30:35.7675818Z [2022-11-23 01:25:09,673] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7675900Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7675989Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7676073Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7676163Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7676247Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7676331Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7676409Z 12 RETURN_VALUE 2022-11-23T01:30:35.7676415Z 2022-11-23T01:30:35.7676461Z 2022-11-23T01:30:35.7676813Z [2022-11-23 01:25:09,673] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7676921Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_208) 2022-11-23T01:30:35.7677010Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7677097Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7677173Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7677260Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.7677360Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7677447Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7677534Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7677608Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.7677711Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7677826Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7677899Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7677999Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7678075Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7678148Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7678245Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7678330Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:35.7678405Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.7678501Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7678586Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:35.7678648Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.7678743Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7678829Z 44 LOAD_CONST 6 (5) 2022-11-23T01:30:35.7678906Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.7679001Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7679088Z 50 LOAD_CONST 7 (6) 2022-11-23T01:30:35.7679160Z 52 BINARY_SUBSCR 2022-11-23T01:30:35.7679233Z 54 BUILD_TUPLE 7 2022-11-23T01:30:35.7679307Z 56 RETURN_VALUE 2022-11-23T01:30:35.7679311Z 2022-11-23T01:30:35.7679372Z 2022-11-23T01:30:35.7679553Z [2022-11-23 01:25:09,675] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7679623Z - 2022-11-23T01:30:35.7679741Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7679804Z { 2022-11-23T01:30:35.7679930Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7680201Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.7680320Z 'obj_weakref': None 2022-11-23T01:30:35.7680546Z 'guarded_class': 2022-11-23T01:30:35.7680614Z } 2022-11-23T01:30:35.7680677Z 2022-11-23T01:30:35.7680746Z - 2022-11-23T01:30:35.7680858Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7680922Z { 2022-11-23T01:30:35.7681064Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7681170Z 'code': None, 2022-11-23T01:30:35.7681381Z 'obj_weakref': 2022-11-23T01:30:35.7681632Z 'guarded_class': 2022-11-23T01:30:35.7681695Z } 2022-11-23T01:30:35.7681756Z 2022-11-23T01:30:35.7681813Z - 2022-11-23T01:30:35.7681941Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7682004Z { 2022-11-23T01:30:35.7682136Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7682302Z 'code': ['___check_obj_id(model, 140534621993088)'], 2022-11-23T01:30:35.7682422Z 'obj_weakref': None 2022-11-23T01:30:35.7682679Z 'guarded_class': 2022-11-23T01:30:35.7682745Z } 2022-11-23T01:30:35.7682806Z 2022-11-23T01:30:35.7682877Z - 2022-11-23T01:30:35.7682998Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7683059Z { 2022-11-23T01:30:35.7683192Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7683396Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7683512Z 'obj_weakref': None 2022-11-23T01:30:35.7683733Z 'guarded_class': 2022-11-23T01:30:35.7683795Z } 2022-11-23T01:30:35.7683859Z 2022-11-23T01:30:35.7683927Z - 2022-11-23T01:30:35.7684087Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.7684141Z { 2022-11-23T01:30:35.7684261Z 'guard_types': None, 2022-11-23T01:30:35.7684367Z 'code': None, 2022-11-23T01:30:35.7684485Z 'obj_weakref': None 2022-11-23T01:30:35.7684604Z 'guarded_class': None 2022-11-23T01:30:35.7684667Z } 2022-11-23T01:30:35.7684728Z 2022-11-23T01:30:35.7684889Z - 2022-11-23T01:30:35.7685022Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7685084Z { 2022-11-23T01:30:35.7685203Z 'guard_types': None, 2022-11-23T01:30:35.7685309Z 'code': None, 2022-11-23T01:30:35.7685425Z 'obj_weakref': None 2022-11-23T01:30:35.7685542Z 'guarded_class': None 2022-11-23T01:30:35.7685593Z } 2022-11-23T01:30:35.7685653Z 2022-11-23T01:30:35.7685724Z - 2022-11-23T01:30:35.7685868Z global 'torch.bool' CONSTANT_MATCH 2022-11-23T01:30:35.7685934Z { 2022-11-23T01:30:35.7686076Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.7686227Z 'code': ["str(torch.bool) == 'torch.bool'"], 2022-11-23T01:30:35.7686345Z 'obj_weakref': None 2022-11-23T01:30:35.7686569Z 'guarded_class': 2022-11-23T01:30:35.7686632Z } 2022-11-23T01:30:35.7686693Z 2022-11-23T01:30:35.7686954Z [2022-11-23 01:25:09,731] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206 2022-11-23T01:30:35.7687323Z [2022-11-23 01:25:11,931] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xi/cxixy7fqe4arxdntqhrbqqf3hujekx357vq24knajm2kanntl44g.py 2022-11-23T01:30:35.7687591Z [2022-11-23 01:25:11,931] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206 2022-11-23T01:30:35.7687598Z 2022-11-23T01:30:35.7687692Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7687748Z import torch 2022-11-23T01:30:35.7687816Z import random 2022-11-23T01:30:35.7687932Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7688055Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7688060Z 2022-11-23T01:30:35.7688136Z aten = torch.ops.aten 2022-11-23T01:30:35.7688270Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7688362Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7688367Z 2022-11-23T01:30:35.7688371Z 2022-11-23T01:30:35.7688490Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7688694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7688811Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7688911Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.7689009Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.7689104Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.7689195Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.7689338Z float* __restrict__ out_ptr4, 2022-11-23T01:30:35.7689420Z float* __restrict__ out_ptr5, 2022-11-23T01:30:35.7689512Z float* __restrict__ out_ptr6) 2022-11-23T01:30:35.7689573Z { 2022-11-23T01:30:35.7689671Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7689733Z { 2022-11-23T01:30:35.7689811Z #pragma omp for 2022-11-23T01:30:35.7689893Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.7689943Z { 2022-11-23T01:30:35.7690010Z { 2022-11-23T01:30:35.7690075Z { 2022-11-23T01:30:35.7690167Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7690271Z auto tmp1 = static_cast(1); 2022-11-23T01:30:35.7690362Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.7690488Z auto tmp3 = static_cast(3); 2022-11-23T01:30:35.7690577Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.7690683Z auto tmp5 = static_cast(0.0); 2022-11-23T01:30:35.7690799Z auto tmp6 = std::max(tmp4, tmp5); 2022-11-23T01:30:35.7690904Z auto tmp7 = static_cast(6.0); 2022-11-23T01:30:35.7691008Z auto tmp8 = std::min(tmp6, tmp7); 2022-11-23T01:30:35.7691097Z auto tmp9 = tmp2 * tmp8; 2022-11-23T01:30:35.7691200Z auto tmp10 = static_cast(6); 2022-11-23T01:30:35.7691278Z auto tmp11 = tmp9 / tmp10; 2022-11-23T01:30:35.7691439Z auto tmp12 = static_cast(-1.0); 2022-11-23T01:30:35.7691540Z auto tmp13 = std::max(tmp2, tmp12); 2022-11-23T01:30:35.7691646Z auto tmp14 = static_cast(1.0); 2022-11-23T01:30:35.7691749Z auto tmp15 = std::min(tmp13, tmp14); 2022-11-23T01:30:35.7691854Z auto tmp16 = static_cast(0); 2022-11-23T01:30:35.7691944Z auto tmp17 = tmp2 > tmp16; 2022-11-23T01:30:35.7692039Z auto tmp18 = static_cast(0.01); 2022-11-23T01:30:35.7692128Z auto tmp19 = tmp2 * tmp18; 2022-11-23T01:30:35.7692226Z auto tmp20 = tmp17 ? tmp2 : tmp19; 2022-11-23T01:30:35.7692371Z auto tmp21 = std::exp(-tmp2); 2022-11-23T01:30:35.7692462Z auto tmp22 = 1 / (1 + tmp21); 2022-11-23T01:30:35.7692552Z auto tmp23 = tmp2 * tmp22; 2022-11-23T01:30:35.7692653Z auto tmp24 = static_cast(0); 2022-11-23T01:30:35.7692756Z auto tmp25 = static_cast(99.0); 2022-11-23T01:30:35.7692841Z auto tmp26 = tmp24 ? tmp25 : tmp2; 2022-11-23T01:30:35.7692940Z auto tmp27 = static_cast(1); 2022-11-23T01:30:35.7693039Z auto tmp28 = tmp27 ? tmp25 : tmp2; 2022-11-23T01:30:35.7693131Z auto tmp29 = tmp2 + tmp1; 2022-11-23T01:30:35.7693227Z auto tmp30 = std::log(tmp29); 2022-11-23T01:30:35.7693311Z out_ptr0[i0] = tmp11; 2022-11-23T01:30:35.7693393Z out_ptr1[i0] = tmp15; 2022-11-23T01:30:35.7693464Z out_ptr2[i0] = tmp20; 2022-11-23T01:30:35.7693546Z out_ptr3[i0] = tmp23; 2022-11-23T01:30:35.7693626Z out_ptr4[i0] = tmp26; 2022-11-23T01:30:35.7693708Z out_ptr5[i0] = tmp28; 2022-11-23T01:30:35.7693790Z out_ptr6[i0] = tmp30; 2022-11-23T01:30:35.7693855Z } 2022-11-23T01:30:35.7693918Z } 2022-11-23T01:30:35.7693968Z } 2022-11-23T01:30:35.7694031Z } 2022-11-23T01:30:35.7694092Z } 2022-11-23T01:30:35.7694170Z ''') 2022-11-23T01:30:35.7694174Z 2022-11-23T01:30:35.7694181Z 2022-11-23T01:30:35.7694275Z async_compile.wait(globals()) 2022-11-23T01:30:35.7694348Z del async_compile 2022-11-23T01:30:35.7694353Z 2022-11-23T01:30:35.7694423Z def call(args): 2022-11-23T01:30:35.7694509Z arg0_1, = args 2022-11-23T01:30:35.7694581Z args.clear() 2022-11-23T01:30:35.7694777Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7694970Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7695158Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7695341Z buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7695549Z buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7695731Z buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7695897Z buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7696216Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr())) 2022-11-23T01:30:35.7696287Z del arg0_1 2022-11-23T01:30:35.7696395Z return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, ) 2022-11-23T01:30:35.7696400Z 2022-11-23T01:30:35.7696404Z 2022-11-23T01:30:35.7696480Z if __name__ == "__main__": 2022-11-23T01:30:35.7696593Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7696715Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7696906Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7697000Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7697019Z 2022-11-23T01:30:35.7697073Z ok (2.392s) 2022-11-23T01:30:35.7697384Z test_inplace_add_cpu (__main__.CpuTests) ... [2022-11-23 01:25:11,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.7697705Z [2022-11-23 01:25:11,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3174 2022-11-23T01:30:35.7697912Z [2022-11-23 01:25:11,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.7698155Z [2022-11-23 01:25:11,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.7698428Z [2022-11-23 01:25:11,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.7698734Z [2022-11-23 01:25:11,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.7698981Z [2022-11-23 01:25:11,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7699214Z [2022-11-23 01:25:11,941] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.7699444Z [2022-11-23 01:25:11,942] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.7699740Z [2022-11-23 01:25:11,946] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.7699999Z [2022-11-23 01:25:11,947] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.7700232Z [2022-11-23 01:25:11,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.7700421Z [2022-11-23 01:25:11,947] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7700553Z __compiled_fn_209 .1712 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7700636Z placeholder, x, x, (), {} 2022-11-23T01:30:35.7700715Z placeholder, y, y, (), {} 2022-11-23T01:30:35.7700792Z call_method, add_, add_, (x, y), {} 2022-11-23T01:30:35.7700887Z output, output, output, ((add_,),), {} 2022-11-23T01:30:35.7700892Z 2022-11-23T01:30:35.7701243Z [2022-11-23 01:25:11,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 2022-11-23T01:30:35.7701336Z 3174 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7701429Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:30:35.7701517Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7701604Z 6 CALL_METHOD 1 2022-11-23T01:30:35.7701679Z 8 RETURN_VALUE 2022-11-23T01:30:35.7701684Z 2022-11-23T01:30:35.7701735Z 2022-11-23T01:30:35.7702055Z [2022-11-23 01:25:11,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 2022-11-23T01:30:35.7702161Z 3172 0 LOAD_GLOBAL 1 (__compiled_fn_209) 2022-11-23T01:30:35.7702279Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7702364Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7702454Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.7702546Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7702620Z 10 RETURN_VALUE 2022-11-23T01:30:35.7702624Z 2022-11-23T01:30:35.7702672Z 2022-11-23T01:30:35.7702855Z [2022-11-23 01:25:11,948] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7702924Z - 2022-11-23T01:30:35.7703041Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.7703104Z { 2022-11-23T01:30:35.7703246Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7703350Z 'code': None, 2022-11-23T01:30:35.7703552Z 'obj_weakref': 2022-11-23T01:30:35.7703805Z 'guarded_class': 2022-11-23T01:30:35.7703870Z } 2022-11-23T01:30:35.7703932Z 2022-11-23T01:30:35.7704000Z - 2022-11-23T01:30:35.7704119Z local 'y' TENSOR_MATCH 2022-11-23T01:30:35.7704184Z { 2022-11-23T01:30:35.7704312Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7704418Z 'code': None, 2022-11-23T01:30:35.7704626Z 'obj_weakref': 2022-11-23T01:30:35.7704875Z 'guarded_class': 2022-11-23T01:30:35.7704938Z } 2022-11-23T01:30:35.7705000Z 2022-11-23T01:30:35.7705066Z ok (0.015s) 2022-11-23T01:30:35.7705382Z test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2022-11-23 01:25:11,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.7705701Z [2022-11-23 01:25:11,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3188 2022-11-23T01:30:35.7705914Z [2022-11-23 01:25:11,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.7706150Z [2022-11-23 01:25:11,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:35.7706420Z [2022-11-23 01:25:11,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7706722Z [2022-11-23 01:25:11,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)] 2022-11-23T01:30:35.7706987Z [2022-11-23 01:25:11,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7707222Z [2022-11-23 01:25:11,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()] 2022-11-23T01:30:35.7707531Z [2022-11-23 01:25:11,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3189 2022-11-23T01:30:35.7707804Z [2022-11-23 01:25:11,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z [] 2022-11-23T01:30:35.7708031Z [2022-11-23 01:25:11,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.7708305Z [2022-11-23 01:25:11,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.7708609Z [2022-11-23 01:25:11,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.7708843Z [2022-11-23 01:25:11,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()] 2022-11-23T01:30:35.7709153Z [2022-11-23 01:25:11,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3190 2022-11-23T01:30:35.7709393Z [2022-11-23 01:25:11,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [] 2022-11-23T01:30:35.7709630Z [2022-11-23 01:25:11,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()] 2022-11-23T01:30:35.7709899Z [2022-11-23 01:25:11,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)] 2022-11-23T01:30:35.7710208Z [2022-11-23 01:25:11,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()] 2022-11-23T01:30:35.7710439Z [2022-11-23 01:25:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7710669Z [2022-11-23 01:25:11,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.7710906Z [2022-11-23 01:25:11,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.7711147Z [2022-11-23 01:25:11,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.7711335Z [2022-11-23 01:25:11,971] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7711471Z __compiled_fn_210 .1718 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7711555Z placeholder, x, x, (), {} 2022-11-23T01:30:35.7711635Z placeholder, y, y, (), {} 2022-11-23T01:30:35.7711713Z call_method, float_1, float, (y,), {} 2022-11-23T01:30:35.7711888Z call_function, add, , (x, float_1), {} 2022-11-23T01:30:35.7711976Z call_method, add_, add_, (add, y), {} 2022-11-23T01:30:35.7712064Z call_method, mul_, mul_, (add_, y), {} 2022-11-23T01:30:35.7712156Z output, output, output, ((mul_,),), {} 2022-11-23T01:30:35.7712161Z 2022-11-23T01:30:35.7712483Z [2022-11-23 01:25:11,971] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 2022-11-23T01:30:35.7712575Z 3188 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7712663Z 2 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7712745Z 4 LOAD_METHOD 0 (float) 2022-11-23T01:30:35.7712835Z 6 CALL_METHOD 0 2022-11-23T01:30:35.7712907Z 8 BINARY_ADD 2022-11-23T01:30:35.7712996Z 10 STORE_FAST 2 (z) 2022-11-23T01:30:35.7713001Z 2022-11-23T01:30:35.7713086Z 3189 12 LOAD_FAST 2 (z) 2022-11-23T01:30:35.7713176Z 14 LOAD_METHOD 1 (add_) 2022-11-23T01:30:35.7713262Z 16 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7713348Z 18 CALL_METHOD 1 2022-11-23T01:30:35.7713421Z 20 STORE_FAST 3 (w) 2022-11-23T01:30:35.7713426Z 2022-11-23T01:30:35.7713511Z 3190 22 LOAD_FAST 3 (w) 2022-11-23T01:30:35.7713600Z 24 LOAD_METHOD 2 (mul_) 2022-11-23T01:30:35.7713686Z 26 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7713771Z 28 CALL_METHOD 1 2022-11-23T01:30:35.7713847Z 30 RETURN_VALUE 2022-11-23T01:30:35.7713880Z 2022-11-23T01:30:35.7713942Z 2022-11-23T01:30:35.7714250Z [2022-11-23 01:25:11,972] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 2022-11-23T01:30:35.7714360Z 3186 0 LOAD_GLOBAL 3 (__compiled_fn_210) 2022-11-23T01:30:35.7714445Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7714529Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7714617Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.7714706Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7714781Z 10 RETURN_VALUE 2022-11-23T01:30:35.7714786Z 2022-11-23T01:30:35.7714844Z 2022-11-23T01:30:35.7715014Z [2022-11-23 01:25:11,972] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7715128Z - 2022-11-23T01:30:35.7715252Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.7715315Z { 2022-11-23T01:30:35.7715457Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7715561Z 'code': None, 2022-11-23T01:30:35.7715772Z 'obj_weakref': 2022-11-23T01:30:35.7716010Z 'guarded_class': 2022-11-23T01:30:35.7716073Z } 2022-11-23T01:30:35.7716135Z 2022-11-23T01:30:35.7716204Z - 2022-11-23T01:30:35.7716319Z local 'y' TENSOR_MATCH 2022-11-23T01:30:35.7716381Z { 2022-11-23T01:30:35.7716522Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7716614Z 'code': None, 2022-11-23T01:30:35.7716823Z 'obj_weakref': 2022-11-23T01:30:35.7717077Z 'guarded_class': 2022-11-23T01:30:35.7717142Z } 2022-11-23T01:30:35.7717204Z 2022-11-23T01:30:35.7717460Z [2022-11-23 01:25:11,988] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207 2022-11-23T01:30:35.7717825Z [2022-11-23 01:25:14,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zr/czr7xa52irvaegb5fsdzvkwxn3qxemuhdu6jdz7ala5cn7vi4o5z.py 2022-11-23T01:30:35.7718088Z [2022-11-23 01:25:14,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207 2022-11-23T01:30:35.7718093Z 2022-11-23T01:30:35.7718174Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7718243Z import torch 2022-11-23T01:30:35.7718311Z import random 2022-11-23T01:30:35.7718425Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7718546Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7718553Z 2022-11-23T01:30:35.7718630Z aten = torch.ops.aten 2022-11-23T01:30:35.7718767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7718845Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7718862Z 2022-11-23T01:30:35.7718866Z 2022-11-23T01:30:35.7718986Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7719190Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7719306Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.7719409Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7719513Z const double* __restrict__ in_ptr1) 2022-11-23T01:30:35.7719572Z { 2022-11-23T01:30:35.7719668Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7719717Z { 2022-11-23T01:30:35.7719793Z #pragma omp for 2022-11-23T01:30:35.7719875Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.7719939Z { 2022-11-23T01:30:35.7720088Z { 2022-11-23T01:30:35.7720155Z { 2022-11-23T01:30:35.7720290Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7720369Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.7720476Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.7720566Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:35.7720672Z auto tmp4 = static_cast(tmp3); 2022-11-23T01:30:35.7720761Z auto tmp5 = tmp4 + tmp1; 2022-11-23T01:30:35.7720866Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:30:35.7720969Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:35.7721045Z auto tmp8 = tmp7 * tmp1; 2022-11-23T01:30:35.7721148Z auto tmp9 = static_cast(tmp8); 2022-11-23T01:30:35.7721236Z in_out_ptr0[i0] = tmp9; 2022-11-23T01:30:35.7721332Z } 2022-11-23T01:30:35.7721395Z } 2022-11-23T01:30:35.7721457Z } 2022-11-23T01:30:35.7721518Z } 2022-11-23T01:30:35.7721565Z } 2022-11-23T01:30:35.7721648Z ''') 2022-11-23T01:30:35.7721653Z 2022-11-23T01:30:35.7721657Z 2022-11-23T01:30:35.7721744Z async_compile.wait(globals()) 2022-11-23T01:30:35.7721816Z del async_compile 2022-11-23T01:30:35.7721820Z 2022-11-23T01:30:35.7721890Z def call(args): 2022-11-23T01:30:35.7721964Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.7722034Z args.clear() 2022-11-23T01:30:35.7722216Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7722302Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.7722463Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr())) 2022-11-23T01:30:35.7722530Z del arg0_1 2022-11-23T01:30:35.7722596Z del arg1_1 2022-11-23T01:30:35.7722667Z return (buf1, ) 2022-11-23T01:30:35.7722674Z 2022-11-23T01:30:35.7722679Z 2022-11-23T01:30:35.7722752Z if __name__ == "__main__": 2022-11-23T01:30:35.7722865Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7722976Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7723174Z arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7723364Z arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:35.7723478Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.7723483Z 2022-11-23T01:30:35.7723548Z ok (2.325s) 2022-11-23T01:30:35.7723865Z test_input_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:14,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.7724182Z [2022-11-23 01:25:14,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3216 2022-11-23T01:30:35.7724392Z [2022-11-23 01:25:14,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7724622Z [2022-11-23 01:25:14,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.7724988Z [2022-11-23 01:25:14,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7725228Z [2022-11-23 01:25:14,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:35.7725541Z [2022-11-23 01:25:14,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3217 2022-11-23T01:30:35.7725749Z [2022-11-23 01:25:14,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7725990Z [2022-11-23 01:25:14,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()] 2022-11-23T01:30:35.7726270Z [2022-11-23 01:25:14,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)] 2022-11-23T01:30:35.7726628Z [2022-11-23 01:25:14,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()] 2022-11-23T01:30:35.7726870Z [2022-11-23 01:25:14,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7727181Z [2022-11-23 01:25:14,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3218 2022-11-23T01:30:35.7727374Z [2022-11-23 01:25:14,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7727610Z [2022-11-23 01:25:14,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.7727890Z [2022-11-23 01:25:14,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7728121Z [2022-11-23 01:25:14,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:35.7728475Z [2022-11-23 01:25:14,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3219 2022-11-23T01:30:35.7728681Z [2022-11-23 01:25:14,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7728919Z [2022-11-23 01:25:14,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:35.7729198Z [2022-11-23 01:25:14,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7729433Z [2022-11-23 01:25:14,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()] 2022-11-23T01:30:35.7729715Z [2022-11-23 01:25:14,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7729947Z [2022-11-23 01:25:14,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7730182Z [2022-11-23 01:25:14,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.7730423Z [2022-11-23 01:25:14,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.7730718Z [2022-11-23 01:25:14,294] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.7730978Z [2022-11-23 01:25:14,294] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.7731212Z [2022-11-23 01:25:14,294] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.7731398Z [2022-11-23 01:25:14,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7731530Z __compiled_fn_211 .1721 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7731605Z placeholder, a, a, (), {} 2022-11-23T01:30:35.7731770Z call_function, add, , (a, 1), {} 2022-11-23T01:30:35.7731865Z call_method, copy_, copy_, (a, add), {} 2022-11-23T01:30:35.7732033Z call_function, add_1, , (a, 2), {} 2022-11-23T01:30:35.7732197Z call_function, mul, , (a, add), {} 2022-11-23T01:30:35.7732386Z call_function, truediv, , (mul, add_1), {} 2022-11-23T01:30:35.7732489Z output, output, output, ((truediv,),), {} 2022-11-23T01:30:35.7732494Z 2022-11-23T01:30:35.7732820Z [2022-11-23 01:25:14,295] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 2022-11-23T01:30:35.7732898Z 3216 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7732988Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7733064Z 4 BINARY_ADD 2022-11-23T01:30:35.7733151Z 6 STORE_FAST 1 (b) 2022-11-23T01:30:35.7733159Z 2022-11-23T01:30:35.7733248Z 3217 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7733342Z 10 LOAD_METHOD 0 (copy_) 2022-11-23T01:30:35.7733462Z 12 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7733553Z 14 CALL_METHOD 1 2022-11-23T01:30:35.7733613Z 16 POP_TOP 2022-11-23T01:30:35.7733618Z 2022-11-23T01:30:35.7733704Z 3218 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7733793Z 20 LOAD_CONST 2 (2) 2022-11-23T01:30:35.7733866Z 22 BINARY_ADD 2022-11-23T01:30:35.7733952Z 24 STORE_FAST 2 (c) 2022-11-23T01:30:35.7733957Z 2022-11-23T01:30:35.7734043Z 3219 26 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7734132Z 28 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7734199Z 30 BINARY_MULTIPLY 2022-11-23T01:30:35.7734284Z 32 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7734395Z 34 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.7734471Z 36 RETURN_VALUE 2022-11-23T01:30:35.7734475Z 2022-11-23T01:30:35.7734538Z 2022-11-23T01:30:35.7734865Z [2022-11-23 01:25:14,295] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 2022-11-23T01:30:35.7734975Z 3215 0 LOAD_GLOBAL 1 (__compiled_fn_211) 2022-11-23T01:30:35.7735061Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7735138Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.7735229Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7735303Z 8 RETURN_VALUE 2022-11-23T01:30:35.7735307Z 2022-11-23T01:30:35.7735370Z 2022-11-23T01:30:35.7735552Z [2022-11-23 01:25:14,296] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7735623Z - 2022-11-23T01:30:35.7735741Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.7735794Z { 2022-11-23T01:30:35.7735938Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7736044Z 'code': None, 2022-11-23T01:30:35.7736259Z 'obj_weakref': 2022-11-23T01:30:35.7736512Z 'guarded_class': 2022-11-23T01:30:35.7736577Z } 2022-11-23T01:30:35.7736641Z 2022-11-23T01:30:35.7736695Z ok (0.023s) 2022-11-23T01:30:35.7737013Z test_input_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:14,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.7737331Z [2022-11-23 01:25:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3239 2022-11-23T01:30:35.7737538Z [2022-11-23 01:25:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7737780Z [2022-11-23 01:25:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.7738061Z [2022-11-23 01:25:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7738299Z [2022-11-23 01:25:14,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:35.7738609Z [2022-11-23 01:25:14,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3240 2022-11-23T01:30:35.7738817Z [2022-11-23 01:25:14,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7739057Z [2022-11-23 01:25:14,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:35.7739318Z [2022-11-23 01:25:14,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:35.7739639Z [2022-11-23 01:25:14,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:30:35.7739913Z [2022-11-23 01:25:14,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()] 2022-11-23T01:30:35.7740204Z [2022-11-23 01:25:14,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)] 2022-11-23T01:30:35.7740641Z [2022-11-23 01:25:14,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable()] 2022-11-23T01:30:35.7741036Z [2022-11-23 01:25:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable()] 2022-11-23T01:30:35.7741466Z [2022-11-23 01:25:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.7741909Z [2022-11-23 01:25:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable()] 2022-11-23T01:30:35.7742360Z [2022-11-23 01:25:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7742817Z [2022-11-23 01:25:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:35.7743316Z [2022-11-23 01:25:14,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.7743625Z [2022-11-23 01:25:14,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()] 2022-11-23T01:30:35.7743868Z [2022-11-23 01:25:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7744167Z [2022-11-23 01:25:14,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3241 2022-11-23T01:30:35.7744373Z [2022-11-23 01:25:14,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7744607Z [2022-11-23 01:25:14,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.7744892Z [2022-11-23 01:25:14,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7745131Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:35.7745442Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3242 2022-11-23T01:30:35.7745648Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [] 2022-11-23T01:30:35.7745881Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()] 2022-11-23T01:30:35.7746144Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7746386Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7746604Z [2022-11-23 01:25:14,312] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.7746872Z [2022-11-23 01:25:14,314] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.7747168Z [2022-11-23 01:25:14,320] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.7747432Z [2022-11-23 01:25:14,321] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.7747665Z [2022-11-23 01:25:14,321] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.7747851Z [2022-11-23 01:25:14,321] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7747986Z __compiled_fn_212 .1724 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7748069Z placeholder, a, a, (), {} 2022-11-23T01:30:35.7748221Z call_function, add, , (a, 1), {} 2022-11-23T01:30:35.7748346Z call_method, view, view, (a, 64), {} 2022-11-23T01:30:35.7748624Z call_function, tensor, , ([66.0],), {'device': device(type='cpu')} 2022-11-23T01:30:35.7748729Z call_method, copy_, copy_, (view, tensor), {} 2022-11-23T01:30:35.7748894Z call_function, add_1, , (a, 2), {} 2022-11-23T01:30:35.7748995Z output, output, output, ((add, add_1),), {} 2022-11-23T01:30:35.7749000Z 2022-11-23T01:30:35.7749325Z [2022-11-23 01:25:14,321] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 2022-11-23T01:30:35.7749416Z 3239 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7749491Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7749564Z 4 BINARY_ADD 2022-11-23T01:30:35.7749651Z 6 STORE_FAST 1 (b) 2022-11-23T01:30:35.7749655Z 2022-11-23T01:30:35.7749744Z 3240 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7749837Z 10 LOAD_METHOD 0 (view) 2022-11-23T01:30:35.7749928Z 12 LOAD_CONST 2 (64) 2022-11-23T01:30:35.7750015Z 14 CALL_METHOD 1 2022-11-23T01:30:35.7750107Z 16 LOAD_METHOD 1 (copy_) 2022-11-23T01:30:35.7750185Z 18 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.7750275Z 20 LOAD_ATTR 3 (tensor) 2022-11-23T01:30:35.7750362Z 22 LOAD_CONST 3 (66.0) 2022-11-23T01:30:35.7750447Z 24 BUILD_LIST 1 2022-11-23T01:30:35.7750532Z 26 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7750623Z 28 LOAD_ATTR 4 (device) 2022-11-23T01:30:35.7750770Z 30 LOAD_CONST 4 (('device',)) 2022-11-23T01:30:35.7750848Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.7750935Z 34 CALL_METHOD 1 2022-11-23T01:30:35.7751006Z 36 POP_TOP 2022-11-23T01:30:35.7751011Z 2022-11-23T01:30:35.7751100Z 3241 38 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7751187Z 40 LOAD_CONST 5 (2) 2022-11-23T01:30:35.7751259Z 42 BINARY_ADD 2022-11-23T01:30:35.7751345Z 44 STORE_FAST 2 (c) 2022-11-23T01:30:35.7751350Z 2022-11-23T01:30:35.7751433Z 3242 46 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7751506Z 48 LOAD_FAST 2 (c) 2022-11-23T01:30:35.7751592Z 50 BUILD_TUPLE 2 2022-11-23T01:30:35.7751667Z 52 RETURN_VALUE 2022-11-23T01:30:35.7751671Z 2022-11-23T01:30:35.7751731Z 2022-11-23T01:30:35.7752059Z [2022-11-23 01:25:14,321] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 2022-11-23T01:30:35.7752167Z 3238 0 LOAD_GLOBAL 5 (__compiled_fn_212) 2022-11-23T01:30:35.7752254Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7752355Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.7752459Z 6 STORE_FAST 3 (___graph_out_0) 2022-11-23T01:30:35.7752559Z 8 LOAD_FAST 3 (___graph_out_0) 2022-11-23T01:30:35.7752646Z 10 LOAD_CONST 6 (0) 2022-11-23T01:30:35.7752722Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7752821Z 14 LOAD_FAST 3 (___graph_out_0) 2022-11-23T01:30:35.7752905Z 16 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7752979Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7753054Z 20 BUILD_TUPLE 2 2022-11-23T01:30:35.7753126Z 22 RETURN_VALUE 2022-11-23T01:30:35.7753131Z 2022-11-23T01:30:35.7753190Z 2022-11-23T01:30:35.7753371Z [2022-11-23 01:25:14,322] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7753470Z - 2022-11-23T01:30:35.7753585Z local 'a' TYPE_MATCH 2022-11-23T01:30:35.7753647Z { 2022-11-23T01:30:35.7753775Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.7753937Z 'code': ['___check_type_id(a, 94427334228720)'], 2022-11-23T01:30:35.7754146Z 'obj_weakref': 2022-11-23T01:30:35.7754398Z 'guarded_class': 2022-11-23T01:30:35.7754461Z } 2022-11-23T01:30:35.7754523Z 2022-11-23T01:30:35.7754592Z - 2022-11-23T01:30:35.7754696Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.7754759Z { 2022-11-23T01:30:35.7754901Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7755008Z 'code': None, 2022-11-23T01:30:35.7755217Z 'obj_weakref': 2022-11-23T01:30:35.7755468Z 'guarded_class': 2022-11-23T01:30:35.7755532Z } 2022-11-23T01:30:35.7755582Z 2022-11-23T01:30:35.7755651Z - 2022-11-23T01:30:35.7755782Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7755844Z { 2022-11-23T01:30:35.7755961Z 'guard_types': None, 2022-11-23T01:30:35.7756066Z 'code': None, 2022-11-23T01:30:35.7756182Z 'obj_weakref': None 2022-11-23T01:30:35.7756291Z 'guarded_class': None 2022-11-23T01:30:35.7756353Z } 2022-11-23T01:30:35.7756414Z 2022-11-23T01:30:35.7756480Z ok (0.026s) 2022-11-23T01:30:35.7756794Z test_input_mutation3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:14,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.7757111Z [2022-11-23 01:25:14,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3256 2022-11-23T01:30:35.7757322Z [2022-11-23 01:25:14,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7757560Z [2022-11-23 01:25:14,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:35.7757831Z [2022-11-23 01:25:14,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7758068Z [2022-11-23 01:25:14,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7758380Z [2022-11-23 01:25:14,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3257 2022-11-23T01:30:35.7758586Z [2022-11-23 01:25:14,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7758824Z [2022-11-23 01:25:14,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.7759149Z [2022-11-23 01:25:14,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7759381Z [2022-11-23 01:25:14,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7759690Z [2022-11-23 01:25:14,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3258 2022-11-23T01:30:35.7759903Z [2022-11-23 01:25:14,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7760290Z [2022-11-23 01:25:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable()] 2022-11-23T01:30:35.7760549Z [2022-11-23 01:25:14,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)] 2022-11-23T01:30:35.7760890Z [2022-11-23 01:25:14,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()] 2022-11-23T01:30:35.7761132Z [2022-11-23 01:25:14,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7761447Z [2022-11-23 01:25:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3259 2022-11-23T01:30:35.7761654Z [2022-11-23 01:25:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7761893Z [2022-11-23 01:25:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:35.7762164Z [2022-11-23 01:25:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:35.7762479Z [2022-11-23 01:25:14,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:30:35.7762718Z [2022-11-23 01:25:14,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7763018Z [2022-11-23 01:25:14,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3260 2022-11-23T01:30:35.7763227Z [2022-11-23 01:25:14,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7763464Z [2022-11-23 01:25:14,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()] 2022-11-23T01:30:35.7763745Z [2022-11-23 01:25:14,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7763976Z [2022-11-23 01:25:14,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7764290Z [2022-11-23 01:25:14,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3261 2022-11-23T01:30:35.7764498Z [2022-11-23 01:25:14,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7764822Z [2022-11-23 01:25:14,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()] 2022-11-23T01:30:35.7765120Z [2022-11-23 01:25:14,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7765340Z [2022-11-23 01:25:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:30:35.7765647Z [2022-11-23 01:25:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3262 2022-11-23T01:30:35.7765862Z [2022-11-23 01:25:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.7766166Z [2022-11-23 01:25:14,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable()] 2022-11-23T01:30:35.7766421Z [2022-11-23 01:25:14,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)] 2022-11-23T01:30:35.7766749Z [2022-11-23 01:25:14,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()] 2022-11-23T01:30:35.7766995Z [2022-11-23 01:25:14,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7767306Z [2022-11-23 01:25:14,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3263 2022-11-23T01:30:35.7767511Z [2022-11-23 01:25:14,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7767754Z [2022-11-23 01:25:14,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7767971Z [2022-11-23 01:25:14,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.7768251Z [2022-11-23 01:25:14,359] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.7768547Z [2022-11-23 01:25:14,363] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.7768808Z [2022-11-23 01:25:14,363] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.7769044Z [2022-11-23 01:25:14,363] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.7769230Z [2022-11-23 01:25:14,363] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7769362Z __compiled_fn_213 .1727 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7769445Z placeholder, a, a, (), {} 2022-11-23T01:30:35.7769613Z call_function, iadd, , (a, 1), {} 2022-11-23T01:30:35.7769773Z call_function, imul, , (iadd, 2), {} 2022-11-23T01:30:35.7769887Z call_function, sigmoid_, aten.sigmoid_, (imul,), {} 2022-11-23T01:30:35.7769982Z call_method, view, view, (imul, 64), {} 2022-11-23T01:30:35.7770162Z call_function, iadd_1, , (view, 3), {} 2022-11-23T01:30:35.7770340Z call_function, imul_1, , (iadd_1, 4), {} 2022-11-23T01:30:35.7770444Z call_function, relu_, aten.relu_, (imul_1,), {} 2022-11-23T01:30:35.7770541Z output, output, output, ((imul_1,),), {} 2022-11-23T01:30:35.7770546Z 2022-11-23T01:30:35.7770855Z [2022-11-23 01:25:14,364] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 2022-11-23T01:30:35.7770945Z 3256 0 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7771033Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7771110Z 4 INPLACE_ADD 2022-11-23T01:30:35.7771197Z 6 STORE_FAST 0 (a) 2022-11-23T01:30:35.7771204Z 2022-11-23T01:30:35.7771291Z 3257 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7771377Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:35.7771461Z 12 INPLACE_MULTIPLY 2022-11-23T01:30:35.7771565Z 14 STORE_FAST 0 (a) 2022-11-23T01:30:35.7771569Z 2022-11-23T01:30:35.7771660Z 3258 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7771758Z 18 LOAD_METHOD 1 (sigmoid_) 2022-11-23T01:30:35.7771844Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7771931Z 22 CALL_METHOD 1 2022-11-23T01:30:35.7772001Z 24 POP_TOP 2022-11-23T01:30:35.7772006Z 2022-11-23T01:30:35.7772092Z 3259 26 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7772183Z 28 LOAD_METHOD 2 (view) 2022-11-23T01:30:35.7772258Z 30 LOAD_CONST 3 (64) 2022-11-23T01:30:35.7772345Z 32 CALL_METHOD 1 2022-11-23T01:30:35.7772434Z 34 STORE_FAST 0 (a) 2022-11-23T01:30:35.7772438Z 2022-11-23T01:30:35.7772553Z 3260 36 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7772639Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:35.7772712Z 40 INPLACE_ADD 2022-11-23T01:30:35.7772796Z 42 STORE_FAST 0 (a) 2022-11-23T01:30:35.7772801Z 2022-11-23T01:30:35.7772871Z 3261 44 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7772957Z 46 LOAD_CONST 5 (4) 2022-11-23T01:30:35.7773036Z 48 INPLACE_MULTIPLY 2022-11-23T01:30:35.7773120Z 50 STORE_FAST 0 (a) 2022-11-23T01:30:35.7773125Z 2022-11-23T01:30:35.7773215Z 3262 52 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.7773305Z 54 LOAD_METHOD 3 (relu_) 2022-11-23T01:30:35.7773388Z 56 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7773506Z 58 CALL_METHOD 1 2022-11-23T01:30:35.7773564Z 60 POP_TOP 2022-11-23T01:30:35.7773569Z 2022-11-23T01:30:35.7773656Z 3263 62 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7773729Z 64 RETURN_VALUE 2022-11-23T01:30:35.7773734Z 2022-11-23T01:30:35.7773796Z 2022-11-23T01:30:35.7774122Z [2022-11-23 01:25:14,364] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 2022-11-23T01:30:35.7774231Z 3255 0 LOAD_GLOBAL 4 (__compiled_fn_213) 2022-11-23T01:30:35.7774317Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7774406Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.7774483Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7774559Z 8 RETURN_VALUE 2022-11-23T01:30:35.7774564Z 2022-11-23T01:30:35.7774623Z 2022-11-23T01:30:35.7774804Z [2022-11-23 01:25:14,364] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7774876Z - 2022-11-23T01:30:35.7774993Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.7775057Z { 2022-11-23T01:30:35.7775190Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7775294Z 'code': None, 2022-11-23T01:30:35.7775508Z 'obj_weakref': 2022-11-23T01:30:35.7775759Z 'guarded_class': 2022-11-23T01:30:35.7775823Z } 2022-11-23T01:30:35.7775884Z 2022-11-23T01:30:35.7775952Z - 2022-11-23T01:30:35.7776071Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.7776133Z { 2022-11-23T01:30:35.7776251Z 'guard_types': None, 2022-11-23T01:30:35.7776357Z 'code': None, 2022-11-23T01:30:35.7776474Z 'obj_weakref': None 2022-11-23T01:30:35.7776596Z 'guarded_class': None 2022-11-23T01:30:35.7776659Z } 2022-11-23T01:30:35.7776709Z 2022-11-23T01:30:35.7776775Z ok (0.042s) 2022-11-23T01:30:35.7777097Z test_input_mutation4_cpu (__main__.CpuTests) ... [2022-11-23 01:25:14,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.7777415Z [2022-11-23 01:25:14,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3276 2022-11-23T01:30:35.7777634Z [2022-11-23 01:25:14,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7778002Z [2022-11-23 01:25:14,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable()] 2022-11-23T01:30:35.7778321Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7778708Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7778950Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:35.7779253Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3277 2022-11-23T01:30:35.7779459Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:35.7779701Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7779932Z [2022-11-23 01:25:14,369] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.7780174Z [2022-11-23 01:25:14,370] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.7780500Z [2022-11-23 01:25:14,371] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:35.7780759Z [2022-11-23 01:25:14,371] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:35.7780995Z [2022-11-23 01:25:14,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.7781181Z [2022-11-23 01:25:14,372] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7781303Z __compiled_fn_214 .1730 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7781389Z placeholder, a, a, (), {} 2022-11-23T01:30:35.7781607Z call_function, relu_, , (a,), {} 2022-11-23T01:30:35.7781700Z output, output, output, ((a,),), {} 2022-11-23T01:30:35.7781705Z 2022-11-23T01:30:35.7782029Z [2022-11-23 01:25:14,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 2022-11-23T01:30:35.7782129Z 3276 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7782223Z 2 LOAD_METHOD 1 (relu_) 2022-11-23T01:30:35.7782314Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7782389Z 6 CALL_METHOD 1 2022-11-23T01:30:35.7782461Z 8 POP_TOP 2022-11-23T01:30:35.7782465Z 2022-11-23T01:30:35.7782556Z 3277 10 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7782632Z 12 RETURN_VALUE 2022-11-23T01:30:35.7782637Z 2022-11-23T01:30:35.7782698Z 2022-11-23T01:30:35.7783020Z [2022-11-23 01:25:14,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 2022-11-23T01:30:35.7783126Z 3275 0 LOAD_GLOBAL 2 (__compiled_fn_214) 2022-11-23T01:30:35.7783215Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7783292Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.7783386Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.7783461Z 8 RETURN_VALUE 2022-11-23T01:30:35.7783466Z 2022-11-23T01:30:35.7783528Z 2022-11-23T01:30:35.7783709Z [2022-11-23 01:25:14,373] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7783779Z - 2022-11-23T01:30:35.7783898Z local 'a' TENSOR_MATCH 2022-11-23T01:30:35.7783949Z { 2022-11-23T01:30:35.7784091Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7784195Z 'code': None, 2022-11-23T01:30:35.7784405Z 'obj_weakref': 2022-11-23T01:30:35.7784655Z 'guarded_class': 2022-11-23T01:30:35.7784720Z } 2022-11-23T01:30:35.7784785Z 2022-11-23T01:30:35.7784842Z - 2022-11-23T01:30:35.7784973Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7785038Z { 2022-11-23T01:30:35.7785191Z 'guard_types': None, 2022-11-23T01:30:35.7785299Z 'code': None, 2022-11-23T01:30:35.7785417Z 'obj_weakref': None 2022-11-23T01:30:35.7785536Z 'guarded_class': None 2022-11-23T01:30:35.7785587Z } 2022-11-23T01:30:35.7785650Z 2022-11-23T01:30:35.7785717Z ok (0.008s) 2022-11-23T01:30:35.7786053Z test_invalid_operand_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:14,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7786369Z [2022-11-23 01:25:14,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7786586Z [2022-11-23 01:25:14,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7786888Z [2022-11-23 01:25:14,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7787170Z [2022-11-23 01:25:14,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7787494Z [2022-11-23 01:25:14,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7787825Z [2022-11-23 01:25:14,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7788148Z [2022-11-23 01:25:14,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7788528Z [2022-11-23 01:25:14,878] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7788627Z 4467 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7788722Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7788814Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7788915Z 6 LOAD_ATTR 3 (slice_scatter) 2022-11-23T01:30:35.7789012Z 8 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.7789017Z 2022-11-23T01:30:35.7789107Z 4468 10 LOAD_FAST 5 (slice_1) 2022-11-23T01:30:35.7789185Z 12 LOAD_FAST 2 (arg3_1) 2022-11-23T01:30:35.7789274Z 14 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7789362Z 16 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7789461Z 18 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:30:35.7789466Z 2022-11-23T01:30:35.7789555Z 4467 20 CALL_METHOD 5 2022-11-23T01:30:35.7789661Z 22 STORE_FAST 6 (slice_scatter) 2022-11-23T01:30:35.7789666Z 2022-11-23T01:30:35.7789761Z 4470 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7789853Z 26 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7789929Z 28 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7790029Z 30 LOAD_ATTR 3 (slice_scatter) 2022-11-23T01:30:35.7790126Z 32 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.7790131Z 2022-11-23T01:30:35.7790223Z 4471 34 LOAD_FAST 1 (arg1_1) 2022-11-23T01:30:35.7790320Z 36 LOAD_FAST 6 (slice_scatter) 2022-11-23T01:30:35.7790406Z 38 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7790491Z 40 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7790576Z 42 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:30:35.7790595Z 2022-11-23T01:30:35.7790669Z 4470 44 CALL_METHOD 5 2022-11-23T01:30:35.7795774Z 46 STORE_FAST 7 (slice_scatter_1) 2022-11-23T01:30:35.7795787Z 2022-11-23T01:30:35.7795972Z 4473 48 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7796070Z 50 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7796161Z 52 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7796238Z 54 LOAD_ATTR 5 (slice) 2022-11-23T01:30:35.7796332Z 56 LOAD_METHOD 6 (Tensor) 2022-11-23T01:30:35.7796337Z 2022-11-23T01:30:35.7796442Z 4474 58 LOAD_FAST 7 (slice_scatter_1) 2022-11-23T01:30:35.7796531Z 60 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7796620Z 62 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7796718Z 64 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:30:35.7796724Z 2022-11-23T01:30:35.7796848Z 4473 66 CALL_METHOD 4 2022-11-23T01:30:35.7796942Z 68 STORE_FAST 8 (slice_2) 2022-11-23T01:30:35.7796947Z 2022-11-23T01:30:35.7797027Z 4476 70 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7797116Z 72 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7797205Z 74 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7797306Z 76 LOAD_ATTR 7 (select_scatter) 2022-11-23T01:30:35.7797400Z 78 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.7797405Z 2022-11-23T01:30:35.7797495Z 4477 80 LOAD_FAST 8 (slice_2) 2022-11-23T01:30:35.7797582Z 82 LOAD_FAST 3 (squeeze) 2022-11-23T01:30:35.7797667Z 84 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7797745Z 86 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7797749Z 2022-11-23T01:30:35.7797836Z 4476 88 CALL_METHOD 4 2022-11-23T01:30:35.7797939Z 90 STORE_FAST 9 (select_scatter) 2022-11-23T01:30:35.7797943Z 2022-11-23T01:30:35.7798037Z 4479 92 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7798131Z 94 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7798219Z 96 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7798323Z 98 LOAD_ATTR 3 (slice_scatter) 2022-11-23T01:30:35.7798415Z 100 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.7798420Z 2022-11-23T01:30:35.7798511Z 4480 102 LOAD_FAST 7 (slice_scatter_1) 2022-11-23T01:30:35.7798613Z 104 LOAD_FAST 9 (select_scatter) 2022-11-23T01:30:35.7798697Z 106 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7798783Z 108 LOAD_CONST 3 (0) 2022-11-23T01:30:35.7798878Z 110 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:30:35.7798886Z 2022-11-23T01:30:35.7798971Z 4479 112 CALL_METHOD 5 2022-11-23T01:30:35.7799074Z 114 STORE_FAST 10 (slice_scatter_2) 2022-11-23T01:30:35.7799079Z 2022-11-23T01:30:35.7799170Z 4482 116 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7799246Z 118 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7799332Z 120 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7799420Z 122 LOAD_ATTR 8 (view) 2022-11-23T01:30:35.7799511Z 124 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.7799613Z 126 LOAD_FAST 10 (slice_scatter_2) 2022-11-23T01:30:35.7799780Z 128 LOAD_CONST 4 (-1) 2022-11-23T01:30:35.7799867Z 130 LOAD_CONST 5 (128) 2022-11-23T01:30:35.7799951Z 132 BUILD_LIST 2 2022-11-23T01:30:35.7800161Z 134 CALL_METHOD 2 2022-11-23T01:30:35.7800256Z 136 STORE_FAST 11 (view) 2022-11-23T01:30:35.7800261Z 2022-11-23T01:30:35.7800352Z 4483 138 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7800476Z 140 LOAD_ATTR 1 (ops) 2022-11-23T01:30:35.7800566Z 142 LOAD_ATTR 2 (aten) 2022-11-23T01:30:35.7800663Z 144 LOAD_ATTR 9 (embedding) 2022-11-23T01:30:35.7800757Z 146 LOAD_METHOD 4 (default) 2022-11-23T01:30:35.7800836Z 148 LOAD_FAST 0 (arg0_1) 2022-11-23T01:30:35.7800926Z 150 LOAD_FAST 11 (view) 2022-11-23T01:30:35.7801047Z 152 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7801169Z 154 CALL_METHOD 3 2022-11-23T01:30:35.7801309Z 156 STORE_FAST 12 (embedding) 2022-11-23T01:30:35.7801314Z 2022-11-23T01:30:35.7801411Z 4484 158 LOAD_FAST 12 (embedding) 2022-11-23T01:30:35.7801538Z 160 LOAD_FAST 4 (view_1) 2022-11-23T01:30:35.7801623Z 162 BUILD_LIST 2 2022-11-23T01:30:35.7801686Z 164 RETURN_VALUE 2022-11-23T01:30:35.7801748Z 2022-11-23T01:30:35.7801754Z 2022-11-23T01:30:35.7802100Z [2022-11-23 01:25:14,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467 2022-11-23T01:30:35.7802322Z [2022-11-23 01:25:14,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7802694Z [2022-11-23 01:25:14,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7802989Z [2022-11-23 01:25:14,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7803307Z [2022-11-23 01:25:14,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:30:35.7803581Z [2022-11-23 01:25:14,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)] 2022-11-23T01:30:35.7803891Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4468 2022-11-23T01:30:35.7804176Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)] 2022-11-23T01:30:35.7804474Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()] 2022-11-23T01:30:35.7804899Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7805272Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7805711Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7806025Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467 2022-11-23T01:30:35.7806478Z [2022-11-23 01:25:14,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7806737Z [2022-11-23 01:25:14,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()] 2022-11-23T01:30:35.7807051Z [2022-11-23 01:25:14,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470 2022-11-23T01:30:35.7807321Z [2022-11-23 01:25:14,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7807690Z [2022-11-23 01:25:14,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7807981Z [2022-11-23 01:25:14,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7808296Z [2022-11-23 01:25:14,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:30:35.7808552Z [2022-11-23 01:25:14,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)] 2022-11-23T01:30:35.7808908Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4471 2022-11-23T01:30:35.7809194Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)] 2022-11-23T01:30:35.7809515Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()] 2022-11-23T01:30:35.7809852Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7810228Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7810660Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7810977Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470 2022-11-23T01:30:35.7811434Z [2022-11-23 01:25:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7811691Z [2022-11-23 01:25:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()] 2022-11-23T01:30:35.7811997Z [2022-11-23 01:25:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473 2022-11-23T01:30:35.7812213Z [2022-11-23 01:25:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7812569Z [2022-11-23 01:25:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7812862Z [2022-11-23 01:25:14,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7813164Z [2022-11-23 01:25:14,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable()] 2022-11-23T01:30:35.7813423Z [2022-11-23 01:25:14,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)] 2022-11-23T01:30:35.7813733Z [2022-11-23 01:25:14,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4474 2022-11-23T01:30:35.7814015Z [2022-11-23 01:25:14,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)] 2022-11-23T01:30:35.7814338Z [2022-11-23 01:25:14,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()] 2022-11-23T01:30:35.7814665Z [2022-11-23 01:25:14,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7815045Z [2022-11-23 01:25:14,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7815357Z [2022-11-23 01:25:14,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473 2022-11-23T01:30:35.7815765Z [2022-11-23 01:25:14,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7816060Z [2022-11-23 01:25:14,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()] 2022-11-23T01:30:35.7816374Z [2022-11-23 01:25:14,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476 2022-11-23T01:30:35.7816591Z [2022-11-23 01:25:14,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7816950Z [2022-11-23 01:25:14,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7817242Z [2022-11-23 01:25:14,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7817557Z [2022-11-23 01:25:14,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable()] 2022-11-23T01:30:35.7817830Z [2022-11-23 01:25:14,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)] 2022-11-23T01:30:35.7818144Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4477 2022-11-23T01:30:35.7818433Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)] 2022-11-23T01:30:35.7818748Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()] 2022-11-23T01:30:35.7819082Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7819443Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7819759Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476 2022-11-23T01:30:35.7820183Z [2022-11-23 01:25:14,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7820440Z [2022-11-23 01:25:14,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()] 2022-11-23T01:30:35.7820753Z [2022-11-23 01:25:14,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479 2022-11-23T01:30:35.7820967Z [2022-11-23 01:25:14,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7821328Z [2022-11-23 01:25:14,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7821649Z [2022-11-23 01:25:14,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7821967Z [2022-11-23 01:25:14,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:30:35.7822234Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)] 2022-11-23T01:30:35.7822545Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4480 2022-11-23T01:30:35.7822828Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)] 2022-11-23T01:30:35.7823180Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()] 2022-11-23T01:30:35.7823518Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7823889Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7824316Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7824624Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479 2022-11-23T01:30:35.7825086Z [2022-11-23 01:25:14,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7825343Z [2022-11-23 01:25:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()] 2022-11-23T01:30:35.7825651Z [2022-11-23 01:25:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4482 2022-11-23T01:30:35.7825864Z [2022-11-23 01:25:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7826223Z [2022-11-23 01:25:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7826513Z [2022-11-23 01:25:14,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7826806Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable()] 2022-11-23T01:30:35.7827061Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)] 2022-11-23T01:30:35.7827344Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)] 2022-11-23T01:30:35.7827638Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()] 2022-11-23T01:30:35.7827970Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7828338Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7828687Z [2022-11-23 01:25:14,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7828932Z [2022-11-23 01:25:14,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()] 2022-11-23T01:30:35.7829242Z [2022-11-23 01:25:14,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4483 2022-11-23T01:30:35.7829457Z [2022-11-23 01:25:14,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7829817Z [2022-11-23 01:25:14,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:35.7830093Z [2022-11-23 01:25:14,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:35.7830435Z [2022-11-23 01:25:14,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable()] 2022-11-23T01:30:35.7830704Z [2022-11-23 01:25:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)] 2022-11-23T01:30:35.7830989Z [2022-11-23 01:25:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)] 2022-11-23T01:30:35.7831295Z [2022-11-23 01:25:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()] 2022-11-23T01:30:35.7831626Z [2022-11-23 01:25:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7831996Z [2022-11-23 01:25:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7832250Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()] 2022-11-23T01:30:35.7832561Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4484 2022-11-23T01:30:35.7832781Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding [] 2022-11-23T01:30:35.7833024Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()] 2022-11-23T01:30:35.7833274Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7833514Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:35.7833905Z [2022-11-23 01:25:14,942] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7834146Z [2022-11-23 01:25:14,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:35.7834378Z [2022-11-23 01:25:14,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7834631Z [2022-11-23 01:25:14,950] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7834874Z [2022-11-23 01:25:14,960] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7835059Z [2022-11-23 01:25:14,961] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7835191Z __compiled_fn_215 .1736 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7835269Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7835354Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7835439Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:35.7835552Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:35.7835635Z placeholder, ex_5_, ex_5_, (), {} 2022-11-23T01:30:35.7835804Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {} 2022-11-23T01:30:35.7835994Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {} 2022-11-23T01:30:35.7836155Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {} 2022-11-23T01:30:35.7836309Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {} 2022-11-23T01:30:35.7836513Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {} 2022-11-23T01:30:35.7836779Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {} 2022-11-23T01:30:35.7836946Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {} 2022-11-23T01:30:35.7837059Z output, output, output, ((embedding_default,),), {} 2022-11-23T01:30:35.7837065Z 2022-11-23T01:30:35.7837388Z [2022-11-23 01:25:14,961] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7837480Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7837568Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7837654Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7837733Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7837816Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7837902Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7837977Z 12 RETURN_VALUE 2022-11-23T01:30:35.7837983Z 2022-11-23T01:30:35.7838042Z 2022-11-23T01:30:35.7838370Z [2022-11-23 01:25:14,961] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7838476Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_215) 2022-11-23T01:30:35.7838554Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7838643Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7838719Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7838803Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7838890Z 10 LOAD_CONST 3 (1) 2022-11-23T01:30:35.7838962Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7839045Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7839117Z 16 LOAD_CONST 4 (2) 2022-11-23T01:30:35.7839190Z 18 BINARY_SUBSCR 2022-11-23T01:30:35.7839275Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7839357Z 22 LOAD_CONST 5 (3) 2022-11-23T01:30:35.7839429Z 24 BINARY_SUBSCR 2022-11-23T01:30:35.7839516Z 26 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7839601Z 28 LOAD_CONST 6 (5) 2022-11-23T01:30:35.7839663Z 30 BINARY_SUBSCR 2022-11-23T01:30:35.7839750Z 32 CALL_FUNCTION 5 2022-11-23T01:30:35.7839850Z 34 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7839951Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7840113Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7840189Z 40 BINARY_SUBSCR 2022-11-23T01:30:35.7840274Z 42 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7840359Z 44 LOAD_CONST 2 (4) 2022-11-23T01:30:35.7840421Z 46 BINARY_SUBSCR 2022-11-23T01:30:35.7840508Z 48 BUILD_LIST 2 2022-11-23T01:30:35.7840581Z 50 RETURN_VALUE 2022-11-23T01:30:35.7840586Z 2022-11-23T01:30:35.7840646Z 2022-11-23T01:30:35.7840876Z [2022-11-23 01:25:14,962] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7840949Z - 2022-11-23T01:30:35.7841068Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7841119Z { 2022-11-23T01:30:35.7841257Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7841441Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 6'], 2022-11-23T01:30:35.7841559Z 'obj_weakref': None 2022-11-23T01:30:35.7841787Z 'guarded_class': 2022-11-23T01:30:35.7841850Z } 2022-11-23T01:30:35.7841913Z 2022-11-23T01:30:35.7841969Z - 2022-11-23T01:30:35.7842091Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7842154Z { 2022-11-23T01:30:35.7842327Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7842431Z 'code': None, 2022-11-23T01:30:35.7842645Z 'obj_weakref': 2022-11-23T01:30:35.7842897Z 'guarded_class': 2022-11-23T01:30:35.7842947Z } 2022-11-23T01:30:35.7843009Z 2022-11-23T01:30:35.7843081Z - 2022-11-23T01:30:35.7843202Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7843263Z { 2022-11-23T01:30:35.7843401Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7843504Z 'code': None, 2022-11-23T01:30:35.7843701Z 'obj_weakref': 2022-11-23T01:30:35.7843948Z 'guarded_class': 2022-11-23T01:30:35.7844016Z } 2022-11-23T01:30:35.7844076Z 2022-11-23T01:30:35.7844143Z - 2022-11-23T01:30:35.7844264Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:35.7844327Z { 2022-11-23T01:30:35.7844454Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7844557Z 'code': None, 2022-11-23T01:30:35.7844968Z 'obj_weakref': 2022-11-23T01:30:35.7845225Z 'guarded_class': 2022-11-23T01:30:35.7845329Z } 2022-11-23T01:30:35.7845394Z 2022-11-23T01:30:35.7845462Z - 2022-11-23T01:30:35.7845570Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:35.7845631Z { 2022-11-23T01:30:35.7845772Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7845876Z 'code': None, 2022-11-23T01:30:35.7846087Z 'obj_weakref': 2022-11-23T01:30:35.7846340Z 'guarded_class': 2022-11-23T01:30:35.7846402Z } 2022-11-23T01:30:35.7846451Z 2022-11-23T01:30:35.7846522Z - 2022-11-23T01:30:35.7846645Z local 'ex[4]' TENSOR_MATCH 2022-11-23T01:30:35.7846706Z { 2022-11-23T01:30:35.7846844Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7846947Z 'code': None, 2022-11-23T01:30:35.7847150Z 'obj_weakref': 2022-11-23T01:30:35.7847391Z 'guarded_class': 2022-11-23T01:30:35.7847452Z } 2022-11-23T01:30:35.7847514Z 2022-11-23T01:30:35.7847585Z - 2022-11-23T01:30:35.7847704Z local 'ex[5]' TENSOR_MATCH 2022-11-23T01:30:35.7847767Z { 2022-11-23T01:30:35.7847906Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7847996Z 'code': None, 2022-11-23T01:30:35.7848250Z 'obj_weakref': 2022-11-23T01:30:35.7848500Z 'guarded_class': 2022-11-23T01:30:35.7848561Z } 2022-11-23T01:30:35.7848621Z 2022-11-23T01:30:35.7848691Z - 2022-11-23T01:30:35.7848819Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7848869Z { 2022-11-23T01:30:35.7849002Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7849170Z 'code': ['___check_obj_id(model, 140534643337552)'], 2022-11-23T01:30:35.7849288Z 'obj_weakref': None 2022-11-23T01:30:35.7849518Z 'guarded_class': 2022-11-23T01:30:35.7849617Z } 2022-11-23T01:30:35.7849677Z 2022-11-23T01:30:35.7849735Z - 2022-11-23T01:30:35.7849861Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7849923Z { 2022-11-23T01:30:35.7850057Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7850275Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7850391Z 'obj_weakref': None 2022-11-23T01:30:35.7850610Z 'guarded_class': 2022-11-23T01:30:35.7850659Z } 2022-11-23T01:30:35.7850719Z 2022-11-23T01:30:35.7850790Z - 2022-11-23T01:30:35.7850922Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7850985Z { 2022-11-23T01:30:35.7851103Z 'guard_types': None, 2022-11-23T01:30:35.7851208Z 'code': None, 2022-11-23T01:30:35.7851314Z 'obj_weakref': None 2022-11-23T01:30:35.7851432Z 'guarded_class': None 2022-11-23T01:30:35.7851493Z } 2022-11-23T01:30:35.7851557Z 2022-11-23T01:30:35.7851818Z [2022-11-23 01:25:14,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208 2022-11-23T01:30:35.7852183Z [2022-11-23 01:25:16,460] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6wwmwl7bqrnrfkzbboev4lo3e4i54jesxstniv7gxvkszhioobx.py 2022-11-23T01:30:35.7852446Z [2022-11-23 01:25:16,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208 2022-11-23T01:30:35.7852452Z 2022-11-23T01:30:35.7852544Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7852600Z import torch 2022-11-23T01:30:35.7852666Z import random 2022-11-23T01:30:35.7852780Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7852899Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7852907Z 2022-11-23T01:30:35.7852982Z aten = torch.ops.aten 2022-11-23T01:30:35.7853114Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7853206Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7853211Z 2022-11-23T01:30:35.7853215Z 2022-11-23T01:30:35.7853337Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7853540Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7853657Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.7853760Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:35.7853860Z const long* __restrict__ in_ptr2, 2022-11-23T01:30:35.7853962Z const float* __restrict__ in_ptr3, 2022-11-23T01:30:35.7854057Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.7854118Z { 2022-11-23T01:30:35.7854205Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7854268Z { 2022-11-23T01:30:35.7854344Z #pragma omp for 2022-11-23T01:30:35.7854423Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.7854485Z { 2022-11-23T01:30:35.7854595Z #pragma GCC ivdep 2022-11-23T01:30:35.7854673Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:35.7854735Z { 2022-11-23T01:30:35.7854814Z #pragma GCC ivdep 2022-11-23T01:30:35.7854903Z for(long i2=0; i2<768; i2+=1) 2022-11-23T01:30:35.7854966Z { 2022-11-23T01:30:35.7855030Z { 2022-11-23T01:30:35.7855097Z { 2022-11-23T01:30:35.7855181Z auto tmp3 = in_ptr0[i0]; 2022-11-23T01:30:35.7855283Z auto tmp8 = in_ptr2[i1 + (128*i0)]; 2022-11-23T01:30:35.7855390Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:35.7855491Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.7855617Z auto tmp2 = tmp0 == tmp1; 2022-11-23T01:30:35.7855720Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.7855815Z auto tmp5 = tmp0 >= tmp4; 2022-11-23T01:30:35.7855897Z auto tmp6 = 0; 2022-11-23T01:30:35.7855961Z if(tmp5) 2022-11-23T01:30:35.7856028Z { 2022-11-23T01:30:35.7856203Z auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)]; 2022-11-23T01:30:35.7856287Z tmp6 = tmp7; 2022-11-23T01:30:35.7856354Z } 2022-11-23T01:30:35.7856457Z auto tmp9 = tmp5 ? tmp6 : tmp8; 2022-11-23T01:30:35.7856558Z auto tmp10 = tmp2 ? tmp3 : tmp9; 2022-11-23T01:30:35.7856653Z auto tmp11 = in_ptr3[i2 + (768*tmp10)]; 2022-11-23T01:30:35.7856759Z out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11; 2022-11-23T01:30:35.7856833Z } 2022-11-23T01:30:35.7856900Z } 2022-11-23T01:30:35.7856963Z } 2022-11-23T01:30:35.7857028Z } 2022-11-23T01:30:35.7857089Z } 2022-11-23T01:30:35.7857138Z } 2022-11-23T01:30:35.7857196Z } 2022-11-23T01:30:35.7857273Z ''') 2022-11-23T01:30:35.7857278Z 2022-11-23T01:30:35.7857282Z 2022-11-23T01:30:35.7857370Z async_compile.wait(globals()) 2022-11-23T01:30:35.7857440Z del async_compile 2022-11-23T01:30:35.7857445Z 2022-11-23T01:30:35.7857513Z def call(args): 2022-11-23T01:30:35.7857612Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args 2022-11-23T01:30:35.7857670Z args.clear() 2022-11-23T01:30:35.7857888Z buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7858102Z kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7858171Z del arg0_1 2022-11-23T01:30:35.7858234Z del arg2_1 2022-11-23T01:30:35.7858297Z del arg3_1 2022-11-23T01:30:35.7858360Z del arg4_1 2022-11-23T01:30:35.7858422Z return (buf0, ) 2022-11-23T01:30:35.7858438Z 2022-11-23T01:30:35.7858443Z 2022-11-23T01:30:35.7858506Z if __name__ == "__main__": 2022-11-23T01:30:35.7858621Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7858743Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7858947Z arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7859145Z arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7859338Z arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7859523Z arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7859701Z arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.7859838Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1])) 2022-11-23T01:30:35.7859842Z 2022-11-23T01:30:35.7859934Z ok (2.104s) 2022-11-23T01:30:35.7860244Z test_isinf2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7860564Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7860780Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7861033Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7861306Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7861628Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7862005Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7862314Z [2022-11-23 01:25:16,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7862686Z [2022-11-23 01:25:16,485] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7862781Z 3372 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7862874Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:35.7862879Z 2022-11-23T01:30:35.7862968Z 3373 4 LOAD_CONST 1 (1) 2022-11-23T01:30:35.7863063Z 6 LOAD_GLOBAL 2 (float) 2022-11-23T01:30:35.7863198Z 8 LOAD_CONST 2 ('inf') 2022-11-23T01:30:35.7863289Z 10 CALL_FUNCTION 1 2022-11-23T01:30:35.7863377Z 12 LOAD_CONST 3 (2) 2022-11-23T01:30:35.7863455Z 14 LOAD_GLOBAL 2 (float) 2022-11-23T01:30:35.7863591Z 16 LOAD_CONST 4 ('-inf') 2022-11-23T01:30:35.7863678Z 18 CALL_FUNCTION 1 2022-11-23T01:30:35.7863767Z 20 LOAD_GLOBAL 2 (float) 2022-11-23T01:30:35.7863900Z 22 LOAD_CONST 5 ('nan') 2022-11-23T01:30:35.7863986Z 24 CALL_FUNCTION 1 2022-11-23T01:30:35.7864067Z 26 BUILD_LIST 5 2022-11-23T01:30:35.7864145Z 28 LOAD_DEREF 0 (self) 2022-11-23T01:30:35.7864238Z 30 LOAD_ATTR 3 (device) 2022-11-23T01:30:35.7864246Z 2022-11-23T01:30:35.7864392Z 3372 32 LOAD_CONST 6 (('device',)) 2022-11-23T01:30:35.7864481Z 34 CALL_FUNCTION_KW 2 2022-11-23T01:30:35.7864572Z 36 STORE_FAST 1 (y) 2022-11-23T01:30:35.7864577Z 2022-11-23T01:30:35.7864664Z 3375 38 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7864749Z 40 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7864839Z 42 COMPARE_OP 2 (==) 2022-11-23T01:30:35.7864902Z 44 RETURN_VALUE 2022-11-23T01:30:35.7864960Z 2022-11-23T01:30:35.7864965Z 2022-11-23T01:30:35.7865276Z [2022-11-23 01:25:16,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372 2022-11-23T01:30:35.7865492Z [2022-11-23 01:25:16,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7865857Z [2022-11-23 01:25:16,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:30:35.7866202Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3373 2022-11-23T01:30:35.7866526Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable()] 2022-11-23T01:30:35.7866892Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7867289Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(), ConstantVariable(int), BuiltinVariable(float)] 2022-11-23T01:30:35.7867728Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:30:35.7868163Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:30:35.7868594Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.7869071Z [2022-11-23 01:25:16,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)] 2022-11-23T01:30:35.7869587Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:30:35.7870073Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:30:35.7870590Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)] 2022-11-23T01:30:35.7871146Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:30:35.7871665Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:35.7872015Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(), ListVariable()] 2022-11-23T01:30:35.7872440Z [2022-11-23 01:25:16,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), UserDefinedObjectVariable(CpuTests)] 2022-11-23T01:30:35.7872752Z [2022-11-23 01:25:16,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372 2022-11-23T01:30:35.7873181Z [2022-11-23 01:25:16,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), ConstantVariable(str)] 2022-11-23T01:30:35.7873618Z [2022-11-23 01:25:16,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:35.7873856Z [2022-11-23 01:25:16,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()] 2022-11-23T01:30:35.7874167Z [2022-11-23 01:25:16,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3375 2022-11-23T01:30:35.7874373Z [2022-11-23 01:25:16,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.7874641Z [2022-11-23 01:25:16,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:35.7874902Z [2022-11-23 01:25:16,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7875147Z [2022-11-23 01:25:16,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7875524Z [2022-11-23 01:25:16,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7875768Z [2022-11-23 01:25:16,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.7876003Z [2022-11-23 01:25:16,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7876256Z [2022-11-23 01:25:16,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7876505Z [2022-11-23 01:25:16,499] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7876692Z [2022-11-23 01:25:16,499] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7876824Z __compiled_fn_216 .1742 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7876900Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7877175Z call_function, tensor, , ([1, inf, 2, -inf, nan],), {'device': 'cpu'} 2022-11-23T01:30:35.7877353Z call_function, eq, , (ex_0_, tensor), {} 2022-11-23T01:30:35.7877446Z output, output, output, ((eq,),), {} 2022-11-23T01:30:35.7877451Z 2022-11-23T01:30:35.7877771Z [2022-11-23 01:25:16,500] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7877862Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7877953Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7878038Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7878131Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7878203Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7878290Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7878365Z 12 RETURN_VALUE 2022-11-23T01:30:35.7878370Z 2022-11-23T01:30:35.7878429Z 2022-11-23T01:30:35.7878748Z [2022-11-23 01:25:16,500] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7878855Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_216) 2022-11-23T01:30:35.7878941Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7879017Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7879092Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7879181Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.7879283Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7879439Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:35.7879537Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:35.7879622Z 16 CALL_FUNCTION 0 2022-11-23T01:30:35.7879716Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:35.7879802Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7879889Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7879963Z 24 BINARY_SUBSCR 2022-11-23T01:30:35.7880146Z 26 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7880246Z 28 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:35.7880333Z 30 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7880408Z 32 BINARY_SUBSCR 2022-11-23T01:30:35.7880545Z 34 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:35.7880635Z 36 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7880733Z 38 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:35.7880818Z 40 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7880890Z 42 BINARY_SUBSCR 2022-11-23T01:30:35.7880990Z 44 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:35.7881063Z 46 RETURN_VALUE 2022-11-23T01:30:35.7881069Z 2022-11-23T01:30:35.7881117Z 2022-11-23T01:30:35.7881304Z [2022-11-23 01:25:16,501] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7881377Z - 2022-11-23T01:30:35.7881496Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7881560Z { 2022-11-23T01:30:35.7881701Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7881885Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.7881995Z 'obj_weakref': None 2022-11-23T01:30:35.7882220Z 'guarded_class': 2022-11-23T01:30:35.7882285Z } 2022-11-23T01:30:35.7882347Z 2022-11-23T01:30:35.7882415Z - 2022-11-23T01:30:35.7882539Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7882599Z { 2022-11-23T01:30:35.7882728Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7882832Z 'code': None, 2022-11-23T01:30:35.7883047Z 'obj_weakref': 2022-11-23T01:30:35.7883299Z 'guarded_class': 2022-11-23T01:30:35.7883363Z } 2022-11-23T01:30:35.7883424Z 2022-11-23T01:30:35.7883492Z - 2022-11-23T01:30:35.7883608Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7883672Z { 2022-11-23T01:30:35.7883804Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7883969Z 'code': ['___check_obj_id(model, 140534642211376)'], 2022-11-23T01:30:35.7884088Z 'obj_weakref': None 2022-11-23T01:30:35.7884315Z 'guarded_class': 2022-11-23T01:30:35.7884377Z } 2022-11-23T01:30:35.7884426Z 2022-11-23T01:30:35.7884497Z - 2022-11-23T01:30:35.7884616Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7884678Z { 2022-11-23T01:30:35.7885001Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7885216Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7885331Z 'obj_weakref': None 2022-11-23T01:30:35.7885541Z 'guarded_class': 2022-11-23T01:30:35.7885607Z } 2022-11-23T01:30:35.7885670Z 2022-11-23T01:30:35.7885739Z - 2022-11-23T01:30:35.7885959Z local 'model.__closure__[0].cell_contents' TYPE_MATCH 2022-11-23T01:30:35.7886024Z { 2022-11-23T01:30:35.7886161Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.7886362Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427368810944)'], 2022-11-23T01:30:35.7886579Z 'obj_weakref': 2022-11-23T01:30:35.7886808Z 'guarded_class': 2022-11-23T01:30:35.7886871Z } 2022-11-23T01:30:35.7886934Z 2022-11-23T01:30:35.7887003Z - 2022-11-23T01:30:35.7887199Z local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH 2022-11-23T01:30:35.7887250Z { 2022-11-23T01:30:35.7887393Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:35.7887738Z 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 94427249860800)', "model.__closure__[0].cell_contents.device == 'cpu'"], 2022-11-23T01:30:35.7887857Z 'obj_weakref': None 2022-11-23T01:30:35.7888074Z 'guarded_class': 2022-11-23T01:30:35.7888137Z } 2022-11-23T01:30:35.7888198Z 2022-11-23T01:30:35.7888265Z - 2022-11-23T01:30:35.7888383Z global 'float' BUILTIN_MATCH 2022-11-23T01:30:35.7888444Z { 2022-11-23T01:30:35.7888561Z 'guard_types': None, 2022-11-23T01:30:35.7888666Z 'code': None, 2022-11-23T01:30:35.7888781Z 'obj_weakref': None 2022-11-23T01:30:35.7888902Z 'guarded_class': None 2022-11-23T01:30:35.7888962Z } 2022-11-23T01:30:35.7889012Z 2022-11-23T01:30:35.7889081Z - 2022-11-23T01:30:35.7889216Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7889277Z { 2022-11-23T01:30:35.7889397Z 'guard_types': None, 2022-11-23T01:30:35.7889503Z 'code': None, 2022-11-23T01:30:35.7889609Z 'obj_weakref': None 2022-11-23T01:30:35.7889728Z 'guarded_class': None 2022-11-23T01:30:35.7889792Z } 2022-11-23T01:30:35.7889852Z 2022-11-23T01:30:35.7890111Z [2022-11-23 01:25:16,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209 2022-11-23T01:30:35.7890473Z [2022-11-23 01:25:18,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jr/cjrhq2bi6hwfuh634knjj7if7odfey75n7f7f74zfbs4fgktqa6j.py 2022-11-23T01:30:35.7890733Z [2022-11-23 01:25:18,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209 2022-11-23T01:30:35.7890739Z 2022-11-23T01:30:35.7890830Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7890888Z import torch 2022-11-23T01:30:35.7890955Z import random 2022-11-23T01:30:35.7891068Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7891189Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7891194Z 2022-11-23T01:30:35.7891269Z aten = torch.ops.aten 2022-11-23T01:30:35.7891400Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7891490Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7891494Z 2022-11-23T01:30:35.7891498Z 2022-11-23T01:30:35.7891629Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7891821Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7891939Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7892038Z bool* __restrict__ out_ptr0) 2022-11-23T01:30:35.7892100Z { 2022-11-23T01:30:35.7892195Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7892256Z { 2022-11-23T01:30:35.7892334Z #pragma omp for 2022-11-23T01:30:35.7892403Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:30:35.7892464Z { 2022-11-23T01:30:35.7892527Z { 2022-11-23T01:30:35.7892623Z { 2022-11-23T01:30:35.7892716Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7892818Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.7892918Z auto tmp2 = static_cast(2); 2022-11-23T01:30:35.7892998Z auto tmp3 = tmp1 < tmp2; 2022-11-23T01:30:35.7893096Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.7893186Z auto tmp5 = tmp1 < tmp4; 2022-11-23T01:30:35.7893289Z auto tmp6 = static_cast(1.0); 2022-11-23T01:30:35.7893427Z auto tmp7 = std::numeric_limits::infinity(); 2022-11-23T01:30:35.7893524Z auto tmp8 = tmp5 ? tmp6 : tmp7; 2022-11-23T01:30:35.7893620Z auto tmp9 = static_cast(3); 2022-11-23T01:30:35.7893750Z auto tmp10 = tmp1 < tmp9; 2022-11-23T01:30:35.7893854Z auto tmp11 = static_cast(2.0); 2022-11-23T01:30:35.7893959Z auto tmp12 = static_cast(4); 2022-11-23T01:30:35.7894049Z auto tmp13 = tmp1 < tmp12; 2022-11-23T01:30:35.7894296Z auto tmp14 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.7894423Z auto tmp15 = std::numeric_limits::quiet_NaN(); 2022-11-23T01:30:35.7894523Z auto tmp16 = tmp13 ? tmp14 : tmp15; 2022-11-23T01:30:35.7894619Z auto tmp17 = tmp10 ? tmp11 : tmp16; 2022-11-23T01:30:35.7894703Z auto tmp18 = tmp3 ? tmp8 : tmp17; 2022-11-23T01:30:35.7894794Z auto tmp19 = tmp0 == tmp18; 2022-11-23T01:30:35.7894878Z out_ptr0[i0] = tmp19; 2022-11-23T01:30:35.7894942Z } 2022-11-23T01:30:35.7895006Z } 2022-11-23T01:30:35.7895066Z } 2022-11-23T01:30:35.7895127Z } 2022-11-23T01:30:35.7895173Z } 2022-11-23T01:30:35.7895249Z ''') 2022-11-23T01:30:35.7895254Z 2022-11-23T01:30:35.7895261Z 2022-11-23T01:30:35.7895349Z async_compile.wait(globals()) 2022-11-23T01:30:35.7895418Z del async_compile 2022-11-23T01:30:35.7895423Z 2022-11-23T01:30:35.7895490Z def call(args): 2022-11-23T01:30:35.7895558Z arg0_1, = args 2022-11-23T01:30:35.7895628Z args.clear() 2022-11-23T01:30:35.7895801Z buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7895934Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.7896004Z del arg0_1 2022-11-23T01:30:35.7896073Z return (buf0, ) 2022-11-23T01:30:35.7896078Z 2022-11-23T01:30:35.7896083Z 2022-11-23T01:30:35.7896157Z if __name__ == "__main__": 2022-11-23T01:30:35.7896270Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7896392Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7896582Z arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7896679Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7896684Z 2022-11-23T01:30:35.7896749Z ok (1.593s) 2022-11-23T01:30:35.7897053Z test_isinf_cpu (__main__.CpuTests) ... [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7897366Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7897581Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7897835Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7898110Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7898460Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7898806Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7899125Z [2022-11-23 01:25:18,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7899485Z [2022-11-23 01:25:18,076] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7899577Z 3355 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7899673Z 2 LOAD_METHOD 0 (isinf) 2022-11-23T01:30:35.7899792Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7899880Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7899970Z 8 LOAD_METHOD 1 (isnan) 2022-11-23T01:30:35.7900059Z 10 CALL_METHOD 0 2022-11-23T01:30:35.7900133Z 12 BUILD_TUPLE 2 2022-11-23T01:30:35.7900207Z 14 RETURN_VALUE 2022-11-23T01:30:35.7900266Z 2022-11-23T01:30:35.7900271Z 2022-11-23T01:30:35.7900582Z [2022-11-23 01:25:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355 2022-11-23T01:30:35.7900793Z [2022-11-23 01:25:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.7901035Z [2022-11-23 01:25:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()] 2022-11-23T01:30:35.7901313Z [2022-11-23 01:25:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.7901548Z [2022-11-23 01:25:18,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:35.7901817Z [2022-11-23 01:25:18,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7902112Z [2022-11-23 01:25:18,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)] 2022-11-23T01:30:35.7902376Z [2022-11-23 01:25:18,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7902617Z [2022-11-23 01:25:18,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7902991Z [2022-11-23 01:25:18,079] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7903234Z [2022-11-23 01:25:18,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7903466Z [2022-11-23 01:25:18,079] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7903716Z [2022-11-23 01:25:18,080] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7903962Z [2022-11-23 01:25:18,083] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7904148Z [2022-11-23 01:25:18,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7904279Z __compiled_fn_217 .1748 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7904356Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7904448Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:30:35.7904538Z call_method, isnan, isnan, (ex_0_,), {} 2022-11-23T01:30:35.7904644Z output, output, output, ((isinf, isnan),), {} 2022-11-23T01:30:35.7904651Z 2022-11-23T01:30:35.7904999Z [2022-11-23 01:25:18,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7905095Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7905183Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7905263Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7905357Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7905441Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7905516Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7905592Z 12 RETURN_VALUE 2022-11-23T01:30:35.7905597Z 2022-11-23T01:30:35.7905656Z 2022-11-23T01:30:35.7905983Z [2022-11-23 01:25:18,084] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7906089Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_217) 2022-11-23T01:30:35.7906210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7906297Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7906374Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7906449Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.7906551Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7906651Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7906740Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7906813Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.7906911Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7906996Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7907058Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7907145Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.7907218Z 26 RETURN_VALUE 2022-11-23T01:30:35.7907226Z 2022-11-23T01:30:35.7907285Z 2022-11-23T01:30:35.7907465Z [2022-11-23 01:25:18,084] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7907535Z - 2022-11-23T01:30:35.7907654Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7907705Z { 2022-11-23T01:30:35.7907844Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7908029Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.7908147Z 'obj_weakref': None 2022-11-23T01:30:35.7908371Z 'guarded_class': 2022-11-23T01:30:35.7908434Z } 2022-11-23T01:30:35.7908495Z 2022-11-23T01:30:35.7908553Z - 2022-11-23T01:30:35.7908675Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7908737Z { 2022-11-23T01:30:35.7908878Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7908982Z 'code': None, 2022-11-23T01:30:35.7909195Z 'obj_weakref': 2022-11-23T01:30:35.7909449Z 'guarded_class': 2022-11-23T01:30:35.7909499Z } 2022-11-23T01:30:35.7909563Z 2022-11-23T01:30:35.7909631Z - 2022-11-23T01:30:35.7909760Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7909821Z { 2022-11-23T01:30:35.7909952Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7910117Z 'code': ['___check_obj_id(model, 140534432285168)'], 2022-11-23T01:30:35.7910222Z 'obj_weakref': None 2022-11-23T01:30:35.7910449Z 'guarded_class': 2022-11-23T01:30:35.7910511Z } 2022-11-23T01:30:35.7910572Z 2022-11-23T01:30:35.7910641Z - 2022-11-23T01:30:35.7910760Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7910824Z { 2022-11-23T01:30:35.7910945Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7911187Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7911307Z 'obj_weakref': None 2022-11-23T01:30:35.7911529Z 'guarded_class': 2022-11-23T01:30:35.7911590Z } 2022-11-23T01:30:35.7911651Z 2022-11-23T01:30:35.7911911Z [2022-11-23 01:25:18,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210 2022-11-23T01:30:35.7912267Z [2022-11-23 01:25:19,633] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o5/co5apgpr5mi2b5qzcls3dgnljnxbuvezzvzli23j2cidrpaxdz7k.py 2022-11-23T01:30:35.7912530Z [2022-11-23 01:25:19,633] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210 2022-11-23T01:30:35.7912793Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7913106Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7913322Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7913571Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7913846Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7914161Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7914507Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7914836Z [2022-11-23 01:25:19,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7915210Z [2022-11-23 01:25:19,638] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7915289Z 3355 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7915386Z 2 LOAD_METHOD 0 (isinf) 2022-11-23T01:30:35.7915473Z 4 CALL_METHOD 0 2022-11-23T01:30:35.7915562Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7915652Z 8 LOAD_METHOD 1 (isnan) 2022-11-23T01:30:35.7915738Z 10 CALL_METHOD 0 2022-11-23T01:30:35.7915823Z 12 BUILD_TUPLE 2 2022-11-23T01:30:35.7915888Z 14 RETURN_VALUE 2022-11-23T01:30:35.7915949Z 2022-11-23T01:30:35.7915954Z 2022-11-23T01:30:35.7916272Z [2022-11-23 01:25:19,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355 2022-11-23T01:30:35.7916479Z [2022-11-23 01:25:19,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.7916726Z [2022-11-23 01:25:19,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()] 2022-11-23T01:30:35.7917005Z [2022-11-23 01:25:19,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:30:35.7917240Z [2022-11-23 01:25:19,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:35.7917508Z [2022-11-23 01:25:19,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7917814Z [2022-11-23 01:25:19,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)] 2022-11-23T01:30:35.7918137Z [2022-11-23 01:25:19,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7918384Z [2022-11-23 01:25:19,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7918768Z [2022-11-23 01:25:19,641] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7919014Z [2022-11-23 01:25:19,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7919248Z [2022-11-23 01:25:19,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7919503Z [2022-11-23 01:25:19,642] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7919779Z [2022-11-23 01:25:19,647] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7919969Z [2022-11-23 01:25:19,647] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7920193Z __compiled_fn_218 .1754 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7920271Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7920367Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:30:35.7920458Z call_method, isnan, isnan, (ex_0_,), {} 2022-11-23T01:30:35.7920566Z output, output, output, ((isinf, isnan),), {} 2022-11-23T01:30:35.7920572Z 2022-11-23T01:30:35.7920899Z [2022-11-23 01:25:19,648] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7920994Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7921085Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7921173Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7921252Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7921340Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7921429Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7921504Z 12 RETURN_VALUE 2022-11-23T01:30:35.7921510Z 2022-11-23T01:30:35.7921571Z 2022-11-23T01:30:35.7921895Z [2022-11-23 01:25:19,648] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7922002Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_218) 2022-11-23T01:30:35.7922092Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7922167Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7922242Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7922330Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.7922436Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7922537Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7922628Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7922702Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.7922789Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7922877Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7922952Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7923038Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.7923113Z 26 RETURN_VALUE 2022-11-23T01:30:35.7923117Z 2022-11-23T01:30:35.7923176Z 2022-11-23T01:30:35.7923357Z [2022-11-23 01:25:19,648] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7923415Z - 2022-11-23T01:30:35.7923534Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7923596Z { 2022-11-23T01:30:35.7923735Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7923924Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.7924042Z 'obj_weakref': None 2022-11-23T01:30:35.7924307Z 'guarded_class': 2022-11-23T01:30:35.7924360Z } 2022-11-23T01:30:35.7924424Z 2022-11-23T01:30:35.7924536Z - 2022-11-23T01:30:35.7924662Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7924724Z { 2022-11-23T01:30:35.7924985Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7925091Z 'code': None, 2022-11-23T01:30:35.7925291Z 'obj_weakref': 2022-11-23T01:30:35.7925544Z 'guarded_class': 2022-11-23T01:30:35.7925607Z } 2022-11-23T01:30:35.7925671Z 2022-11-23T01:30:35.7925805Z - 2022-11-23T01:30:35.7925936Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7925999Z { 2022-11-23T01:30:35.7926120Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7926292Z 'code': ['___check_obj_id(model, 140534432285168)'], 2022-11-23T01:30:35.7926410Z 'obj_weakref': None 2022-11-23T01:30:35.7926644Z 'guarded_class': 2022-11-23T01:30:35.7926708Z } 2022-11-23T01:30:35.7926770Z 2022-11-23T01:30:35.7926839Z - 2022-11-23T01:30:35.7926948Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7927011Z { 2022-11-23T01:30:35.7927148Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7927364Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7927522Z 'obj_weakref': None 2022-11-23T01:30:35.7927744Z 'guarded_class': 2022-11-23T01:30:35.7927808Z } 2022-11-23T01:30:35.7927858Z 2022-11-23T01:30:35.7928122Z [2022-11-23 01:25:19,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211 2022-11-23T01:30:35.7928491Z [2022-11-23 01:25:21,478] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ip/cipa6ykj4ctgwyil576pdvfyaejtdvui35ezyiz244vatvwd736i.py 2022-11-23T01:30:35.7928754Z [2022-11-23 01:25:21,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211 2022-11-23T01:30:35.7928760Z 2022-11-23T01:30:35.7928857Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7928929Z import torch 2022-11-23T01:30:35.7928998Z import random 2022-11-23T01:30:35.7929111Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7929220Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7929240Z 2022-11-23T01:30:35.7929304Z aten = torch.ops.aten 2022-11-23T01:30:35.7929436Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7929528Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7929535Z 2022-11-23T01:30:35.7929539Z 2022-11-23T01:30:35.7929672Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7929877Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7929996Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7930095Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:35.7930188Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:35.7930236Z { 2022-11-23T01:30:35.7930334Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7930396Z { 2022-11-23T01:30:35.7930474Z #pragma omp for 2022-11-23T01:30:35.7930555Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:30:35.7930617Z { 2022-11-23T01:30:35.7930670Z { 2022-11-23T01:30:35.7930735Z { 2022-11-23T01:30:35.7930826Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7930976Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:30:35.7931076Z auto tmp2 = std::isnan(tmp0); 2022-11-23T01:30:35.7931160Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.7931242Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.7931293Z } 2022-11-23T01:30:35.7931360Z } 2022-11-23T01:30:35.7931423Z } 2022-11-23T01:30:35.7931485Z } 2022-11-23T01:30:35.7931544Z } 2022-11-23T01:30:35.7931623Z ''') 2022-11-23T01:30:35.7931628Z 2022-11-23T01:30:35.7931633Z 2022-11-23T01:30:35.7931720Z async_compile.wait(globals()) 2022-11-23T01:30:35.7931780Z del async_compile 2022-11-23T01:30:35.7931785Z 2022-11-23T01:30:35.7931854Z def call(args): 2022-11-23T01:30:35.7931922Z arg0_1, = args 2022-11-23T01:30:35.7931993Z args.clear() 2022-11-23T01:30:35.7932208Z buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7932388Z buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7932555Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.7932622Z del arg0_1 2022-11-23T01:30:35.7932687Z return (buf0, buf1, ) 2022-11-23T01:30:35.7932692Z 2022-11-23T01:30:35.7932696Z 2022-11-23T01:30:35.7932770Z if __name__ == "__main__": 2022-11-23T01:30:35.7932884Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7933005Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7933197Z arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7933303Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7933307Z 2022-11-23T01:30:35.7933312Z 2022-11-23T01:30:35.7933403Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7933471Z import torch 2022-11-23T01:30:35.7933530Z import random 2022-11-23T01:30:35.7933642Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7933767Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7933772Z 2022-11-23T01:30:35.7933847Z aten = torch.ops.aten 2022-11-23T01:30:35.7933982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7934072Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7934076Z 2022-11-23T01:30:35.7934080Z 2022-11-23T01:30:35.7934211Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7934418Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7934528Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:35.7934624Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:35.7934719Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:35.7934780Z { 2022-11-23T01:30:35.7934876Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7934939Z { 2022-11-23T01:30:35.7935014Z #pragma omp for 2022-11-23T01:30:35.7935082Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:30:35.7935146Z { 2022-11-23T01:30:35.7935210Z { 2022-11-23T01:30:35.7935274Z { 2022-11-23T01:30:35.7935366Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7935466Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:30:35.7935563Z auto tmp2 = std::isnan(tmp0); 2022-11-23T01:30:35.7935635Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.7935716Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:35.7935779Z } 2022-11-23T01:30:35.7935840Z } 2022-11-23T01:30:35.7935901Z } 2022-11-23T01:30:35.7935962Z } 2022-11-23T01:30:35.7936009Z } 2022-11-23T01:30:35.7936087Z ''') 2022-11-23T01:30:35.7936091Z 2022-11-23T01:30:35.7936095Z 2022-11-23T01:30:35.7936182Z async_compile.wait(globals()) 2022-11-23T01:30:35.7936257Z del async_compile 2022-11-23T01:30:35.7936262Z 2022-11-23T01:30:35.7936330Z def call(args): 2022-11-23T01:30:35.7936398Z arg0_1, = args 2022-11-23T01:30:35.7936493Z args.clear() 2022-11-23T01:30:35.7936681Z buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7936850Z buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.7937012Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.7937079Z del arg0_1 2022-11-23T01:30:35.7937155Z return (buf0, buf1, ) 2022-11-23T01:30:35.7937160Z 2022-11-23T01:30:35.7937164Z 2022-11-23T01:30:35.7937238Z if __name__ == "__main__": 2022-11-23T01:30:35.7937348Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7937468Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7937659Z arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:35.7937783Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.7937788Z 2022-11-23T01:30:35.7937854Z ok (3.408s) 2022-11-23T01:30:35.7938160Z test_kwargs_cpu (__main__.CpuTests) ... [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7938478Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7938694Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7938946Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7939222Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7939540Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7939891Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7940201Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7940573Z [2022-11-23 01:25:21,484] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7940669Z 4624 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7940771Z 2 LOAD_ATTR 1 (histogramdd) 2022-11-23T01:30:35.7940776Z 2022-11-23T01:30:35.7940866Z 4625 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.7940871Z 2022-11-23T01:30:35.7940958Z 4626 6 LOAD_CONST 1 (3) 2022-11-23T01:30:35.7941047Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:35.7941134Z 10 BUILD_LIST 2 2022-11-23T01:30:35.7941141Z 2022-11-23T01:30:35.7941226Z 4627 12 LOAD_FAST 1 (y) 2022-11-23T01:30:35.7941231Z 2022-11-23T01:30:35.7941381Z 4624 14 LOAD_CONST 2 (('bins', 'weight')) 2022-11-23T01:30:35.7941472Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:30:35.7941547Z 18 RETURN_VALUE 2022-11-23T01:30:35.7941607Z 2022-11-23T01:30:35.7941611Z 2022-11-23T01:30:35.7941923Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4624 2022-11-23T01:30:35.7942138Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7942512Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR histogramdd [TorchVariable()] 2022-11-23T01:30:35.7942857Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4625 2022-11-23T01:30:35.7943187Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.7943498Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4626 2022-11-23T01:30:35.7943844Z [2022-11-23 01:25:21,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7944242Z [2022-11-23 01:25:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.7944712Z [2022-11-23 01:25:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:35.7945022Z [2022-11-23 01:25:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4627 2022-11-23T01:30:35.7945406Z [2022-11-23 01:25:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:35.7945715Z [2022-11-23 01:25:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4624 2022-11-23T01:30:35.7946153Z [2022-11-23 01:25:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('bins', 'weight') [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:35.7946623Z [2022-11-23 01:25:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:35.7946879Z [2022-11-23 01:25:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:30:35.7947258Z [2022-11-23 01:25:21,495] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7947514Z [2022-11-23 01:25:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:30:35.7947746Z [2022-11-23 01:25:21,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7948000Z [2022-11-23 01:25:21,497] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7948234Z [2022-11-23 01:25:21,543] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7948420Z [2022-11-23 01:25:21,544] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7948553Z __compiled_fn_219 .1760 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7948641Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7948725Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7949020Z call_function, histogramdd, , (ex_0_,), {'bins': [3, 3], 'weight': ex_1_} 2022-11-23T01:30:35.7949218Z call_function, getitem, , (histogramdd, 0), {} 2022-11-23T01:30:35.7949415Z call_function, getitem_1, , (histogramdd, 1), {} 2022-11-23T01:30:35.7949597Z call_function, getitem_2, , (getitem_1, 0), {} 2022-11-23T01:30:35.7949811Z call_function, getitem_3, , (getitem_1, 1), {} 2022-11-23T01:30:35.7949941Z output, output, output, ((getitem, getitem_2, getitem_3),), {} 2022-11-23T01:30:35.7949946Z 2022-11-23T01:30:35.7950267Z [2022-11-23 01:25:21,544] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7950365Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7950454Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7950540Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7950632Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7950703Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7950791Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7950895Z 12 RETURN_VALUE 2022-11-23T01:30:35.7950900Z 2022-11-23T01:30:35.7950960Z 2022-11-23T01:30:35.7951286Z [2022-11-23 01:25:21,544] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7951393Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_219) 2022-11-23T01:30:35.7951480Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7951568Z 4 LOAD_CONST 2 (0) 2022-11-23T01:30:35.7951631Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7951717Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7951803Z 10 LOAD_CONST 3 (1) 2022-11-23T01:30:35.7951877Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7951963Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.7952067Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7952268Z 18 LOAD_CONST 1 () 2022-11-23T01:30:35.7952359Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7952449Z 22 LOAD_CONST 2 (0) 2022-11-23T01:30:35.7952524Z 24 BINARY_SUBSCR 2022-11-23T01:30:35.7952622Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7952710Z 28 LOAD_CONST 3 (1) 2022-11-23T01:30:35.7952782Z 30 BINARY_SUBSCR 2022-11-23T01:30:35.7952880Z 32 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7952954Z 34 LOAD_CONST 4 (2) 2022-11-23T01:30:35.7953029Z 36 BINARY_SUBSCR 2022-11-23T01:30:35.7953114Z 38 BUILD_TUPLE 2 2022-11-23T01:30:35.7953199Z 40 BUILD_TUPLE 2 2022-11-23T01:30:35.7953286Z 42 CALL_FUNCTION 1 2022-11-23T01:30:35.7953358Z 44 RETURN_VALUE 2022-11-23T01:30:35.7953365Z 2022-11-23T01:30:35.7953425Z 2022-11-23T01:30:35.7953595Z [2022-11-23 01:25:21,545] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7953666Z - 2022-11-23T01:30:35.7953786Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7953849Z { 2022-11-23T01:30:35.7953988Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7954171Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.7954288Z 'obj_weakref': None 2022-11-23T01:30:35.7954501Z 'guarded_class': 2022-11-23T01:30:35.7954565Z } 2022-11-23T01:30:35.7954627Z 2022-11-23T01:30:35.7954698Z - 2022-11-23T01:30:35.7954821Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7954885Z { 2022-11-23T01:30:35.7955025Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7955117Z 'code': None, 2022-11-23T01:30:35.7955332Z 'obj_weakref': 2022-11-23T01:30:35.7955608Z 'guarded_class': 2022-11-23T01:30:35.7955673Z } 2022-11-23T01:30:35.7955736Z 2022-11-23T01:30:35.7955805Z - 2022-11-23T01:30:35.7955926Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7955976Z { 2022-11-23T01:30:35.7956118Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7956222Z 'code': None, 2022-11-23T01:30:35.7956433Z 'obj_weakref': 2022-11-23T01:30:35.7956682Z 'guarded_class': 2022-11-23T01:30:35.7956744Z } 2022-11-23T01:30:35.7956805Z 2022-11-23T01:30:35.7956861Z - 2022-11-23T01:30:35.7957023Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7957089Z { 2022-11-23T01:30:35.7957221Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7957391Z 'code': ['___check_obj_id(model, 140534626913872)'], 2022-11-23T01:30:35.7957507Z 'obj_weakref': None 2022-11-23T01:30:35.7957735Z 'guarded_class': 2022-11-23T01:30:35.7957797Z } 2022-11-23T01:30:35.7957848Z 2022-11-23T01:30:35.7957917Z - 2022-11-23T01:30:35.7958036Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7958097Z { 2022-11-23T01:30:35.7958229Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7958445Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7958550Z 'obj_weakref': None 2022-11-23T01:30:35.7958770Z 'guarded_class': 2022-11-23T01:30:35.7958834Z } 2022-11-23T01:30:35.7958898Z 2022-11-23T01:30:35.7958966Z - 2022-11-23T01:30:35.7959101Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7959164Z { 2022-11-23T01:30:35.7959270Z 'guard_types': None, 2022-11-23T01:30:35.7959376Z 'code': None, 2022-11-23T01:30:35.7959491Z 'obj_weakref': None 2022-11-23T01:30:35.7959614Z 'guarded_class': None 2022-11-23T01:30:35.7959676Z } 2022-11-23T01:30:35.7959739Z 2022-11-23T01:30:35.7960088Z [2022-11-23 01:25:21,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212 2022-11-23T01:30:35.7960300Z [2022-11-23 01:25:21,580] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:30:35.7960410Z target: aten._histogramdd_bin_edges.default 2022-11-23T01:30:35.7960502Z args[0]: TensorBox(StorageBox( 2022-11-23T01:30:35.7960746Z InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1])) 2022-11-23T01:30:35.7960807Z )) 2022-11-23T01:30:35.7960877Z args[1]: [3, 3] 2022-11-23T01:30:35.7961023Z kwargs: {'weight': TensorBox(StorageBox( 2022-11-23T01:30:35.7961242Z InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1])) 2022-11-23T01:30:35.7961307Z ))} 2022-11-23T01:30:35.7961579Z [2022-11-23 01:25:21,592] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_bin_edges.default 2022-11-23T01:30:35.7961801Z [2022-11-23 01:25:21,594] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:30:35.7961912Z target: aten._histogramdd_from_bin_cts.default 2022-11-23T01:30:35.7961999Z args[0]: TensorBox(StorageBox( 2022-11-23T01:30:35.7962237Z InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1])) 2022-11-23T01:30:35.7962301Z )) 2022-11-23T01:30:35.7962356Z args[1]: [3, 3] 2022-11-23T01:30:35.7962499Z kwargs: {'weight': TensorBox(StorageBox( 2022-11-23T01:30:35.7962771Z InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1])) 2022-11-23T01:30:35.7962836Z ))} 2022-11-23T01:30:35.7963114Z [2022-11-23 01:25:21,605] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_from_bin_cts.default 2022-11-23T01:30:35.7963484Z [2022-11-23 01:25:21,609] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yj/cyj2k5u3wllhqvofhcsxymbxgpjllqngqwqzuk2ta3vgsnjg3kwl.py 2022-11-23T01:30:35.7963747Z [2022-11-23 01:25:21,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212 2022-11-23T01:30:35.7963753Z 2022-11-23T01:30:35.7963847Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7963904Z import torch 2022-11-23T01:30:35.7963973Z import random 2022-11-23T01:30:35.7964086Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7964238Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7964243Z 2022-11-23T01:30:35.7964320Z aten = torch.ops.aten 2022-11-23T01:30:35.7964455Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7964546Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7964551Z 2022-11-23T01:30:35.7964556Z 2022-11-23T01:30:35.7964643Z async_compile.wait(globals()) 2022-11-23T01:30:35.7964701Z del async_compile 2022-11-23T01:30:35.7964706Z 2022-11-23T01:30:35.7964877Z def call(args): 2022-11-23T01:30:35.7964953Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.7965024Z args.clear() 2022-11-23T01:30:35.7965177Z buf0 = torch.ops.aten._histogramdd_bin_edges.default(arg0_1, [3, 3], weight=arg1_1) 2022-11-23T01:30:35.7965246Z buf1 = buf0[0] 2022-11-23T01:30:35.7965339Z assert_size_stride(buf1, (4, ), (1, )) 2022-11-23T01:30:35.7965394Z buf2 = buf0[1] 2022-11-23T01:30:35.7965488Z assert_size_stride(buf2, (4, ), (1, )) 2022-11-23T01:30:35.7965555Z del buf0 2022-11-23T01:30:35.7965709Z buf3 = torch.ops.aten._histogramdd_from_bin_cts.default(arg0_1, [3, 3], weight=arg1_1) 2022-11-23T01:30:35.7965776Z del arg0_1 2022-11-23T01:30:35.7965844Z del arg1_1 2022-11-23T01:30:35.7965912Z buf4 = buf3 2022-11-23T01:30:35.7965997Z assert_size_stride(buf4, (3, 3), (3, 1)) 2022-11-23T01:30:35.7966062Z del buf3 2022-11-23T01:30:35.7966145Z return (buf4, buf1, buf2, ) 2022-11-23T01:30:35.7966149Z 2022-11-23T01:30:35.7966153Z 2022-11-23T01:30:35.7966229Z if __name__ == "__main__": 2022-11-23T01:30:35.7966345Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7966470Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7966672Z arg0_1 = rand_strided((4, 2), (2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7966861Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7966964Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.7966971Z 2022-11-23T01:30:35.7967037Z ok (0.141s) 2022-11-23T01:30:35.7967342Z test_l1_loss_cpu (__main__.CpuTests) ... [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7967659Z [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7967875Z [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7968124Z [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.7968402Z [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.7968718Z [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7969108Z [2022-11-23 01:25:21,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7969419Z [2022-11-23 01:25:21,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.7969796Z [2022-11-23 01:25:21,629] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.7969893Z 3148 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7969983Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.7970085Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.7970182Z 6 LOAD_METHOD 3 (l1_loss) 2022-11-23T01:30:35.7970271Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7970412Z 10 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7970488Z 12 CALL_METHOD 2 2022-11-23T01:30:35.7970583Z 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.7970672Z 16 LOAD_ATTR 1 (nn) 2022-11-23T01:30:35.7970773Z 18 LOAD_ATTR 2 (functional) 2022-11-23T01:30:35.7970869Z 20 LOAD_METHOD 4 (mse_loss) 2022-11-23T01:30:35.7970956Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:35.7971043Z 24 LOAD_FAST 1 (b) 2022-11-23T01:30:35.7971128Z 26 CALL_METHOD 2 2022-11-23T01:30:35.7971203Z 28 BUILD_TUPLE 2 2022-11-23T01:30:35.7971278Z 30 RETURN_VALUE 2022-11-23T01:30:35.7971338Z 2022-11-23T01:30:35.7971343Z 2022-11-23T01:30:35.7971658Z [2022-11-23 01:25:21,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3148 2022-11-23T01:30:35.7971880Z [2022-11-23 01:25:21,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.7972243Z [2022-11-23 01:25:21,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:35.7972625Z [2022-11-23 01:25:21,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:35.7973025Z [2022-11-23 01:25:21,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable()] 2022-11-23T01:30:35.7973313Z [2022-11-23 01:25:21,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.7973629Z [2022-11-23 01:25:21,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7973966Z [2022-11-23 01:25:21,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7974215Z [2022-11-23 01:25:21,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.7974600Z [2022-11-23 01:25:21,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7975008Z [2022-11-23 01:25:21,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7975471Z [2022-11-23 01:25:21,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7975789Z [2022-11-23 01:25:21,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.7976131Z [2022-11-23 01:25:21,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.7976513Z [2022-11-23 01:25:21,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7976779Z [2022-11-23 01:25:21,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.7977051Z [2022-11-23 01:25:21,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7977425Z [2022-11-23 01:25:21,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.7977667Z [2022-11-23 01:25:21,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.7977887Z [2022-11-23 01:25:21,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.7978138Z [2022-11-23 01:25:21,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.7978386Z [2022-11-23 01:25:21,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.7978572Z [2022-11-23 01:25:21,650] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.7978708Z __compiled_fn_220 .1766 opcode, name, target, args, kwargs 2022-11-23T01:30:35.7978797Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.7978883Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.7979023Z call_function, l1_loss, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.7979153Z call_function, mse_loss, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.7979263Z output, output, output, ((l1_loss, mse_loss),), {} 2022-11-23T01:30:35.7979268Z 2022-11-23T01:30:35.7979592Z [2022-11-23 01:25:21,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7979684Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.7979774Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7979860Z 4 BUILD_MAP 0 2022-11-23T01:30:35.7979951Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.7980037Z 8 DICT_MERGE 1 2022-11-23T01:30:35.7980113Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.7980190Z 12 RETURN_VALUE 2022-11-23T01:30:35.7980196Z 2022-11-23T01:30:35.7980255Z 2022-11-23T01:30:35.7980581Z [2022-11-23 01:25:21,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.7980688Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_220) 2022-11-23T01:30:35.7980777Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7980866Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7980942Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.7981017Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.7981102Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7981175Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.7981262Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.7981365Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7981463Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7981583Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.7981646Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.7981747Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.7981833Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.7981906Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.7981989Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.7982062Z 32 RETURN_VALUE 2022-11-23T01:30:35.7982068Z 2022-11-23T01:30:35.7982127Z 2022-11-23T01:30:35.7982301Z [2022-11-23 01:25:21,652] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.7982372Z - 2022-11-23T01:30:35.7982491Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.7982554Z { 2022-11-23T01:30:35.7982694Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.7982909Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.7983030Z 'obj_weakref': None 2022-11-23T01:30:35.7983244Z 'guarded_class': 2022-11-23T01:30:35.7983308Z } 2022-11-23T01:30:35.7983370Z 2022-11-23T01:30:35.7983440Z - 2022-11-23T01:30:35.7983561Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.7983624Z { 2022-11-23T01:30:35.7983767Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7983861Z 'code': None, 2022-11-23T01:30:35.7984070Z 'obj_weakref': 2022-11-23T01:30:35.7984321Z 'guarded_class': 2022-11-23T01:30:35.7984384Z } 2022-11-23T01:30:35.7984448Z 2022-11-23T01:30:35.7984517Z - 2022-11-23T01:30:35.7984638Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.7984688Z { 2022-11-23T01:30:35.7984831Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.7984936Z 'code': None, 2022-11-23T01:30:35.7985142Z 'obj_weakref': 2022-11-23T01:30:35.7985391Z 'guarded_class': 2022-11-23T01:30:35.7985453Z } 2022-11-23T01:30:35.7985515Z 2022-11-23T01:30:35.7985572Z - 2022-11-23T01:30:35.7985702Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.7985763Z { 2022-11-23T01:30:35.7985895Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.7986060Z 'code': ['___check_obj_id(model, 140534432602656)'], 2022-11-23T01:30:35.7986177Z 'obj_weakref': None 2022-11-23T01:30:35.7986410Z 'guarded_class': 2022-11-23T01:30:35.7986460Z } 2022-11-23T01:30:35.7986527Z 2022-11-23T01:30:35.7986598Z - 2022-11-23T01:30:35.7986717Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.7986778Z { 2022-11-23T01:30:35.7986912Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.7987126Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.7987233Z 'obj_weakref': None 2022-11-23T01:30:35.7987453Z 'guarded_class': 2022-11-23T01:30:35.7987519Z } 2022-11-23T01:30:35.7987582Z 2022-11-23T01:30:35.7987650Z - 2022-11-23T01:30:35.7987781Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.7987842Z { 2022-11-23T01:30:35.7987950Z 'guard_types': None, 2022-11-23T01:30:35.7988054Z 'code': None, 2022-11-23T01:30:35.7988170Z 'obj_weakref': None 2022-11-23T01:30:35.7988318Z 'guarded_class': None 2022-11-23T01:30:35.7988382Z } 2022-11-23T01:30:35.7988443Z 2022-11-23T01:30:35.7988701Z [2022-11-23 01:25:21,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213 2022-11-23T01:30:35.7989056Z [2022-11-23 01:25:23,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iq/ciqj5rt3oqpq34wvm3xl6astcjde46gcajn3povh5uhrlfs6vbs2.py 2022-11-23T01:30:35.7989318Z [2022-11-23 01:25:23,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213 2022-11-23T01:30:35.7989323Z 2022-11-23T01:30:35.7989416Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.7989483Z import torch 2022-11-23T01:30:35.7989550Z import random 2022-11-23T01:30:35.7989663Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.7989812Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.7989817Z 2022-11-23T01:30:35.7989893Z aten = torch.ops.aten 2022-11-23T01:30:35.7990016Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.7990109Z async_compile = AsyncCompile() 2022-11-23T01:30:35.7990113Z 2022-11-23T01:30:35.7990118Z 2022-11-23T01:30:35.7990249Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.7990452Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.7990567Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.7990667Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.7990771Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.7990871Z const float* __restrict__ in_ptr1) 2022-11-23T01:30:35.7990919Z { 2022-11-23T01:30:35.7991006Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:30:35.7991093Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:30:35.7991153Z { 2022-11-23T01:30:35.7991347Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.7991422Z float tmp4 = 0; 2022-11-23T01:30:35.7991538Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:30:35.7991600Z float tmp6 = 0; 2022-11-23T01:30:35.7991714Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:35.7991816Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.7991878Z { 2022-11-23T01:30:35.7992011Z #pragma omp for reduction(+:tmp4_vec) reduction(+:tmp6_vec) 2022-11-23T01:30:35.7992095Z for(long i0=0; i0<192; i0+=1) 2022-11-23T01:30:35.7992157Z { 2022-11-23T01:30:35.7992287Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.7992406Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.7992539Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.7992624Z auto tmp3 = tmp2.abs(); 2022-11-23T01:30:35.7992712Z auto tmp5 = tmp2 * tmp2; 2022-11-23T01:30:35.7992790Z tmp4_vec += tmp3; 2022-11-23T01:30:35.7992868Z tmp6_vec += tmp5; 2022-11-23T01:30:35.7992929Z } 2022-11-23T01:30:35.7993110Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:30:35.7993302Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:35.7993442Z #pragma omp for simd simdlen(4) reduction(+:tmp4) reduction(+:tmp6) 2022-11-23T01:30:35.7993530Z for(long i0=1536; i0<1536; i0+=1) 2022-11-23T01:30:35.7993593Z { 2022-11-23T01:30:35.7993680Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.7993765Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.7993891Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.7994007Z auto tmp3 = std::abs(tmp2); 2022-11-23T01:30:35.7994092Z auto tmp5 = tmp2 * tmp2; 2022-11-23T01:30:35.7994165Z tmp4 += tmp3; 2022-11-23T01:30:35.7994238Z tmp6 += tmp5; 2022-11-23T01:30:35.7994299Z } 2022-11-23T01:30:35.7994360Z } 2022-11-23T01:30:35.7994435Z out_ptr0[0] = tmp4; 2022-11-23T01:30:35.7994497Z out_ptr1[0] = tmp6; 2022-11-23T01:30:35.7994558Z } 2022-11-23T01:30:35.7994618Z { 2022-11-23T01:30:35.7994679Z { 2022-11-23T01:30:35.7994763Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:30:35.7994866Z auto tmp1 = static_cast(1536); 2022-11-23T01:30:35.7994948Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.7995017Z in_out_ptr0[0] = tmp2; 2022-11-23T01:30:35.7995109Z } 2022-11-23T01:30:35.7995170Z } 2022-11-23T01:30:35.7995232Z { 2022-11-23T01:30:35.7995294Z { 2022-11-23T01:30:35.7995379Z auto tmp0 = out_ptr1[0]; 2022-11-23T01:30:35.7995468Z auto tmp1 = static_cast(1536); 2022-11-23T01:30:35.7995552Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.7995631Z in_out_ptr1[0] = tmp2; 2022-11-23T01:30:35.7995692Z } 2022-11-23T01:30:35.7995752Z } 2022-11-23T01:30:35.7995811Z } 2022-11-23T01:30:35.7995889Z ''') 2022-11-23T01:30:35.7995895Z 2022-11-23T01:30:35.7995899Z 2022-11-23T01:30:35.7995975Z async_compile.wait(globals()) 2022-11-23T01:30:35.7996047Z del async_compile 2022-11-23T01:30:35.7996052Z 2022-11-23T01:30:35.7996122Z def call(args): 2022-11-23T01:30:35.7996198Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.7996269Z args.clear() 2022-11-23T01:30:35.7996453Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7996636Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7996708Z buf2 = buf0; del buf0 # reuse 2022-11-23T01:30:35.7996789Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:30:35.7996983Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr())) 2022-11-23T01:30:35.7997052Z del arg0_1 2022-11-23T01:30:35.7997117Z del arg1_1 2022-11-23T01:30:35.7997193Z return (buf2, buf3, ) 2022-11-23T01:30:35.7997197Z 2022-11-23T01:30:35.7997202Z 2022-11-23T01:30:35.7997277Z if __name__ == "__main__": 2022-11-23T01:30:35.7997392Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.7997502Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.7997718Z arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7997933Z arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.7998051Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.7998056Z 2022-11-23T01:30:35.7998122Z ok (1.552s) 2022-11-23T01:30:35.7998433Z test_layer_norm_cpu (__main__.CpuTests) ... [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.7998749Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.7998969Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.7999212Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.7999469Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.7999781Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8000234Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8000553Z [2022-11-23 01:25:23,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8000800Z [2022-11-23 01:25:23,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8001035Z [2022-11-23 01:25:23,185] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8001290Z [2022-11-23 01:25:23,186] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8001537Z [2022-11-23 01:25:23,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8001754Z [2022-11-23 01:25:23,192] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8001887Z __compiled_fn_221 .1772 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8001965Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8002065Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.8002165Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.8002264Z output, output, output, ((model_1,),), {} 2022-11-23T01:30:35.8002269Z 2022-11-23T01:30:35.8002596Z [2022-11-23 01:25:23,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8002688Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8002777Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8002850Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8002943Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8003029Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8003119Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8003194Z 12 RETURN_VALUE 2022-11-23T01:30:35.8003200Z 2022-11-23T01:30:35.8003263Z 2022-11-23T01:30:35.8003587Z [2022-11-23 01:25:23,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8003697Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_221) 2022-11-23T01:30:35.8003775Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8003865Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8003942Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8004032Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8004123Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8004197Z 12 RETURN_VALUE 2022-11-23T01:30:35.8004201Z 2022-11-23T01:30:35.8004261Z 2022-11-23T01:30:35.8004435Z [2022-11-23 01:25:23,193] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8004506Z - 2022-11-23T01:30:35.8004624Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8004688Z { 2022-11-23T01:30:35.8004939Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8005126Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8005245Z 'obj_weakref': None 2022-11-23T01:30:35.8005458Z 'guarded_class': 2022-11-23T01:30:35.8005522Z } 2022-11-23T01:30:35.8005586Z 2022-11-23T01:30:35.8005655Z - 2022-11-23T01:30:35.8005780Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8005843Z { 2022-11-23T01:30:35.8005986Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8006079Z 'code': None, 2022-11-23T01:30:35.8006289Z 'obj_weakref': 2022-11-23T01:30:35.8006544Z 'guarded_class': 2022-11-23T01:30:35.8006666Z } 2022-11-23T01:30:35.8006731Z 2022-11-23T01:30:35.8006801Z - 2022-11-23T01:30:35.8006920Z local 'model' NN_MODULE 2022-11-23T01:30:35.8006969Z { 2022-11-23T01:30:35.8007103Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8007272Z 'code': ['___check_obj_id(model, 140534642613584)'], 2022-11-23T01:30:35.8007491Z 'obj_weakref': 2022-11-23T01:30:35.8007723Z 'guarded_class': 2022-11-23T01:30:35.8007789Z } 2022-11-23T01:30:35.8007852Z 2022-11-23T01:30:35.8007908Z - 2022-11-23T01:30:35.8008029Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8008130Z { 2022-11-23T01:30:35.8008269Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8008485Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8008602Z 'obj_weakref': None 2022-11-23T01:30:35.8008823Z 'guarded_class': 2022-11-23T01:30:35.8008885Z } 2022-11-23T01:30:35.8008935Z 2022-11-23T01:30:35.8009003Z - 2022-11-23T01:30:35.8009148Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.8009210Z { 2022-11-23T01:30:35.8009328Z 'guard_types': None, 2022-11-23T01:30:35.8009434Z 'code': None, 2022-11-23T01:30:35.8009537Z 'obj_weakref': None 2022-11-23T01:30:35.8009657Z 'guarded_class': None 2022-11-23T01:30:35.8009720Z } 2022-11-23T01:30:35.8009781Z 2022-11-23T01:30:35.8009852Z - 2022-11-23T01:30:35.8009994Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.8010059Z { 2022-11-23T01:30:35.8010165Z 'guard_types': None, 2022-11-23T01:30:35.8010268Z 'code': None, 2022-11-23T01:30:35.8010383Z 'obj_weakref': None 2022-11-23T01:30:35.8010503Z 'guarded_class': None 2022-11-23T01:30:35.8010564Z } 2022-11-23T01:30:35.8010625Z 2022-11-23T01:30:35.8010882Z [2022-11-23 01:25:23,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214 2022-11-23T01:30:35.8011233Z [2022-11-23 01:25:25,851] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rv/crv5yxpfpyoo36br72wa47vjwc76eqasgza7wh2dqt6ikdyy3ptz.py 2022-11-23T01:30:35.8011493Z [2022-11-23 01:25:25,851] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214 2022-11-23T01:30:35.8011498Z 2022-11-23T01:30:35.8011593Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8011660Z import torch 2022-11-23T01:30:35.8011728Z import random 2022-11-23T01:30:35.8011841Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8011963Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8011968Z 2022-11-23T01:30:35.8012044Z aten = torch.ops.aten 2022-11-23T01:30:35.8012165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8012255Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8012260Z 2022-11-23T01:30:35.8012264Z 2022-11-23T01:30:35.8012394Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.8012625Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8012786Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.8012917Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.8013021Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.8013126Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.8013214Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.8013348Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.8013444Z float* __restrict__ out_ptr3) 2022-11-23T01:30:35.8013505Z { 2022-11-23T01:30:35.8013590Z auto out_ptr2 = in_out_ptr0; 2022-11-23T01:30:35.8013671Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:30:35.8013768Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8013816Z { 2022-11-23T01:30:35.8013892Z #pragma omp for 2022-11-23T01:30:35.8013975Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.8014036Z { 2022-11-23T01:30:35.8014097Z { 2022-11-23T01:30:35.8014287Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.8014365Z float tmp1 = 0; 2022-11-23T01:30:35.8014552Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:35.8014642Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.8014706Z { 2022-11-23T01:30:35.8014849Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:35.8014931Z tmp1_vec += tmp0; 2022-11-23T01:30:35.8014996Z } 2022-11-23T01:30:35.8015189Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:35.8015309Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:35.8015388Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:35.8015452Z { 2022-11-23T01:30:35.8015549Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:35.8015626Z tmp1 += tmp0; 2022-11-23T01:30:35.8015689Z } 2022-11-23T01:30:35.8015771Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.8015834Z } 2022-11-23T01:30:35.8015883Z } 2022-11-23T01:30:35.8015958Z #pragma omp for 2022-11-23T01:30:35.8016041Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.8016102Z { 2022-11-23T01:30:35.8016164Z { 2022-11-23T01:30:35.8016349Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.8016426Z float tmp6 = 0; 2022-11-23T01:30:35.8016531Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:35.8016609Z float tmp7 = 0; 2022-11-23T01:30:35.8016724Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:35.8016812Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.8016876Z { 2022-11-23T01:30:35.8017013Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:35.8017142Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:35.8017280Z auto tmp2 = at::vec::Vectorized(static_cast(32)); 2022-11-23T01:30:35.8017359Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:35.8017501Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:35.8017591Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:35.8017672Z tmp6_vec += tmp5; 2022-11-23T01:30:35.8017750Z tmp7_vec += tmp0; 2022-11-23T01:30:35.8017813Z } 2022-11-23T01:30:35.8018011Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:35.8018203Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:35.8018344Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:35.8018420Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:35.8018514Z { 2022-11-23T01:30:35.8018616Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:35.8018711Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:30:35.8018813Z auto tmp2 = static_cast(32); 2022-11-23T01:30:35.8018902Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:35.8019037Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:35.8019112Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:35.8019187Z tmp6 += tmp5; 2022-11-23T01:30:35.8019264Z tmp7 += tmp0; 2022-11-23T01:30:35.8019326Z } 2022-11-23T01:30:35.8019408Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.8019485Z out_ptr2[i0] = tmp7; 2022-11-23T01:30:35.8019546Z } 2022-11-23T01:30:35.8019624Z } 2022-11-23T01:30:35.8019700Z #pragma omp for 2022-11-23T01:30:35.8019779Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.8019840Z { 2022-11-23T01:30:35.8019973Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + 8*i0); 2022-11-23T01:30:35.8020104Z auto tmp1 = at::vec::Vectorized(static_cast(32)); 2022-11-23T01:30:35.8020199Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.8020281Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8020343Z } 2022-11-23T01:30:35.8020436Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8020516Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:35.8020577Z { 2022-11-23T01:30:35.8020659Z auto tmp0 = out_ptr2[i0]; 2022-11-23T01:30:35.8020756Z auto tmp1 = static_cast(32); 2022-11-23T01:30:35.8020826Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.8020906Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.8020972Z } 2022-11-23T01:30:35.8021048Z #pragma omp for 2022-11-23T01:30:35.8021127Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.8021189Z { 2022-11-23T01:30:35.8021305Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:35.8021435Z auto tmp1 = at::vec::Vectorized(static_cast(32)); 2022-11-23T01:30:35.8021518Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.8021719Z auto tmp3 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:30:35.8021802Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.8021884Z auto tmp5 = tmp4.sqrt(); 2022-11-23T01:30:35.8021979Z auto tmp6 = tmp5.reciprocal(); 2022-11-23T01:30:35.8022073Z tmp6.store(in_out_ptr1 + 8*i0); 2022-11-23T01:30:35.8022122Z } 2022-11-23T01:30:35.8022213Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8022294Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:35.8022357Z { 2022-11-23T01:30:35.8022440Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:35.8022539Z auto tmp1 = static_cast(32); 2022-11-23T01:30:35.8022624Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:35.8022760Z auto tmp3 = static_cast(1e-05); 2022-11-23T01:30:35.8022844Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:35.8022934Z auto tmp5 = std::sqrt(tmp4); 2022-11-23T01:30:35.8023014Z auto tmp6 = 1 / tmp5; 2022-11-23T01:30:35.8023095Z in_out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.8023155Z } 2022-11-23T01:30:35.8023229Z #pragma omp for 2022-11-23T01:30:35.8023298Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.8023359Z { 2022-11-23T01:30:35.8023441Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:35.8023504Z { 2022-11-23T01:30:35.8023643Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:35.8023774Z auto tmp1 = at::vec::Vectorized(in_out_ptr0[i0]); 2022-11-23T01:30:35.8023932Z auto tmp3 = at::vec::Vectorized(in_out_ptr1[i0]); 2022-11-23T01:30:35.8024066Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:30:35.8024183Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr2 + 8*i1); 2022-11-23T01:30:35.8024311Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.8024396Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:35.8024481Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:35.8024565Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:35.8024691Z auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0)); 2022-11-23T01:30:35.8024793Z tmp9.store(out_ptr3 + (8*i1) + (32*i0)); 2022-11-23T01:30:35.8024843Z } 2022-11-23T01:30:35.8024936Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.8025050Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:35.8025159Z { 2022-11-23T01:30:35.8025255Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:35.8025347Z auto tmp1 = in_out_ptr0[i0]; 2022-11-23T01:30:35.8025438Z auto tmp3 = in_out_ptr1[i0]; 2022-11-23T01:30:35.8025512Z auto tmp5 = in_ptr1[i1]; 2022-11-23T01:30:35.8025598Z auto tmp7 = in_ptr2[i1]; 2022-11-23T01:30:35.8025723Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.8025808Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:35.8025891Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:35.8025973Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:35.8026062Z auto tmp9 = tmp8 * (tmp8>0); 2022-11-23T01:30:35.8026140Z out_ptr3[i1 + (32*i0)] = tmp9; 2022-11-23T01:30:35.8026203Z } 2022-11-23T01:30:35.8026263Z } 2022-11-23T01:30:35.8026327Z } 2022-11-23T01:30:35.8026386Z } 2022-11-23T01:30:35.8026463Z ''') 2022-11-23T01:30:35.8026468Z 2022-11-23T01:30:35.8026473Z 2022-11-23T01:30:35.8026566Z async_compile.wait(globals()) 2022-11-23T01:30:35.8026627Z del async_compile 2022-11-23T01:30:35.8026632Z 2022-11-23T01:30:35.8026702Z def call(args): 2022-11-23T01:30:35.8026802Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.8026873Z args.clear() 2022-11-23T01:30:35.8027071Z buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8027265Z buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8027455Z buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8027538Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:30:35.8027606Z buf4 = buf1; del buf1 # reuse 2022-11-23T01:30:35.8027800Z buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8028074Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:30:35.8028200Z return (buf5, primals_1, primals_2, primals_3, buf3, buf4, ) 2022-11-23T01:30:35.8028206Z 2022-11-23T01:30:35.8028211Z 2022-11-23T01:30:35.8028286Z if __name__ == "__main__": 2022-11-23T01:30:35.8028400Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8028520Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8028716Z primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8028900Z primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8029102Z primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8029238Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.8029244Z 2022-11-23T01:30:35.8029310Z ok (2.689s) 2022-11-23T01:30:35.8029656Z test_leaky_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:25:25,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8029976Z [2022-11-23 01:25:25,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8030195Z [2022-11-23 01:25:25,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8030451Z [2022-11-23 01:25:25,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.8030728Z [2022-11-23 01:25:25,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.8031037Z [2022-11-23 01:25:25,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8031410Z [2022-11-23 01:25:25,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8031737Z [2022-11-23 01:25:25,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8032112Z [2022-11-23 01:25:25,870] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8032205Z 2430 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.8032306Z 2 LOAD_METHOD 1 (leaky_relu) 2022-11-23T01:30:35.8032398Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8032488Z 6 LOAD_CONST 1 (0.2) 2022-11-23T01:30:35.8032575Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8032651Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:35.8032727Z 12 BINARY_ADD 2022-11-23T01:30:35.8032820Z 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.8032922Z 16 LOAD_METHOD 1 (leaky_relu) 2022-11-23T01:30:35.8033011Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8033099Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:35.8033177Z 22 BINARY_ADD 2022-11-23T01:30:35.8033252Z 24 CALL_METHOD 1 2022-11-23T01:30:35.8033339Z 26 BUILD_TUPLE 2 2022-11-23T01:30:35.8033415Z 28 RETURN_VALUE 2022-11-23T01:30:35.8033476Z 2022-11-23T01:30:35.8033481Z 2022-11-23T01:30:35.8033796Z [2022-11-23 01:25:25,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2430 2022-11-23T01:30:35.8034012Z [2022-11-23 01:25:25,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.8034327Z [2022-11-23 01:25:25,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable()] 2022-11-23T01:30:35.8034586Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)] 2022-11-23T01:30:35.8034873Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()] 2022-11-23T01:30:35.8035192Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.8035428Z [2022-11-23 01:25:25,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.8035706Z [2022-11-23 01:25:25,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.8035952Z [2022-11-23 01:25:25,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.8036326Z [2022-11-23 01:25:25,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.8036612Z [2022-11-23 01:25:25,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)] 2022-11-23T01:30:35.8036927Z [2022-11-23 01:25:25,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()] 2022-11-23T01:30:35.8037283Z [2022-11-23 01:25:25,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.8037602Z [2022-11-23 01:25:25,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()] 2022-11-23T01:30:35.8037893Z [2022-11-23 01:25:25,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8038138Z [2022-11-23 01:25:25,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.8038501Z [2022-11-23 01:25:25,903] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8038744Z [2022-11-23 01:25:25,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.8038977Z [2022-11-23 01:25:25,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8039229Z [2022-11-23 01:25:25,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8039479Z [2022-11-23 01:25:25,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8039665Z [2022-11-23 01:25:25,916] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8039802Z __compiled_fn_222 .1783 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8039890Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8040092Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {} 2022-11-23T01:30:35.8040278Z call_function, add, , (leaky_relu, 2), {} 2022-11-23T01:30:35.8040451Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.8040572Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {} 2022-11-23T01:30:35.8040681Z output, output, output, ((add, leaky_relu_1),), {} 2022-11-23T01:30:35.8040686Z 2022-11-23T01:30:35.8041009Z [2022-11-23 01:25:25,917] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8041105Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8041196Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8041283Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8041362Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8041447Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8041536Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8041612Z 12 RETURN_VALUE 2022-11-23T01:30:35.8041617Z 2022-11-23T01:30:35.8041677Z 2022-11-23T01:30:35.8042001Z [2022-11-23 01:25:25,917] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8042109Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_222) 2022-11-23T01:30:35.8042185Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8042275Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8042352Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8042440Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8042543Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8042683Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8042772Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8042834Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.8042933Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8043023Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8043098Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.8043185Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.8043258Z 26 RETURN_VALUE 2022-11-23T01:30:35.8043263Z 2022-11-23T01:30:35.8043323Z 2022-11-23T01:30:35.8043504Z [2022-11-23 01:25:25,918] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8043562Z - 2022-11-23T01:30:35.8043680Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8043774Z { 2022-11-23T01:30:35.8043916Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8044104Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8044223Z 'obj_weakref': None 2022-11-23T01:30:35.8044448Z 'guarded_class': 2022-11-23T01:30:35.8044499Z } 2022-11-23T01:30:35.8044562Z 2022-11-23T01:30:35.8044632Z - 2022-11-23T01:30:35.8044890Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8044955Z { 2022-11-23T01:30:35.8045100Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8045194Z 'code': None, 2022-11-23T01:30:35.8045405Z 'obj_weakref': 2022-11-23T01:30:35.8045660Z 'guarded_class': 2022-11-23T01:30:35.8045727Z } 2022-11-23T01:30:35.8045789Z 2022-11-23T01:30:35.8045860Z - 2022-11-23T01:30:35.8045993Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.8046058Z { 2022-11-23T01:30:35.8046179Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8046347Z 'code': ['___check_obj_id(model, 140534625219872)'], 2022-11-23T01:30:35.8046464Z 'obj_weakref': None 2022-11-23T01:30:35.8046693Z 'guarded_class': 2022-11-23T01:30:35.8046757Z } 2022-11-23T01:30:35.8046820Z 2022-11-23T01:30:35.8046889Z - 2022-11-23T01:30:35.8046996Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8047058Z { 2022-11-23T01:30:35.8047192Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8047406Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8047525Z 'obj_weakref': None 2022-11-23T01:30:35.8047746Z 'guarded_class': 2022-11-23T01:30:35.8047809Z } 2022-11-23T01:30:35.8047860Z 2022-11-23T01:30:35.8047929Z - 2022-11-23T01:30:35.8048058Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.8048119Z { 2022-11-23T01:30:35.8048237Z 'guard_types': None, 2022-11-23T01:30:35.8048342Z 'code': None, 2022-11-23T01:30:35.8048446Z 'obj_weakref': None 2022-11-23T01:30:35.8048565Z 'guarded_class': None 2022-11-23T01:30:35.8048627Z } 2022-11-23T01:30:35.8048688Z 2022-11-23T01:30:35.8048945Z [2022-11-23 01:25:25,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215 2022-11-23T01:30:35.8049316Z [2022-11-23 01:25:28,696] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckdpwaxafaudp75pmn6gr53jj442lzgz65d7u2a2yemrqjptsm7f.py 2022-11-23T01:30:35.8049629Z [2022-11-23 01:25:28,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215 2022-11-23T01:30:35.8049636Z 2022-11-23T01:30:35.8049732Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8049787Z import torch 2022-11-23T01:30:35.8049855Z import random 2022-11-23T01:30:35.8049969Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8050090Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8050094Z 2022-11-23T01:30:35.8050172Z aten = torch.ops.aten 2022-11-23T01:30:35.8050303Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8050394Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8050399Z 2022-11-23T01:30:35.8050403Z 2022-11-23T01:30:35.8050535Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.8050726Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8050879Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.8050978Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.8051077Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.8051139Z { 2022-11-23T01:30:35.8051236Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8051298Z { 2022-11-23T01:30:35.8051361Z #pragma omp for 2022-11-23T01:30:35.8051445Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.8051508Z { 2022-11-23T01:30:35.8051571Z { 2022-11-23T01:30:35.8051634Z { 2022-11-23T01:30:35.8051725Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.8051828Z auto tmp1 = static_cast(0); 2022-11-23T01:30:35.8051906Z auto tmp2 = tmp0 > tmp1; 2022-11-23T01:30:35.8052009Z auto tmp3 = static_cast(0.2); 2022-11-23T01:30:35.8052101Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:30:35.8052195Z auto tmp5 = tmp2 ? tmp0 : tmp4; 2022-11-23T01:30:35.8052295Z auto tmp6 = static_cast(2); 2022-11-23T01:30:35.8052385Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:30:35.8052485Z auto tmp8 = static_cast(1); 2022-11-23T01:30:35.8052560Z auto tmp9 = tmp0 + tmp8; 2022-11-23T01:30:35.8052651Z auto tmp10 = tmp9 > tmp1; 2022-11-23T01:30:35.8052755Z auto tmp11 = static_cast(0.01); 2022-11-23T01:30:35.8052845Z auto tmp12 = tmp9 * tmp11; 2022-11-23T01:30:35.8052944Z auto tmp13 = tmp10 ? tmp9 : tmp12; 2022-11-23T01:30:35.8053027Z out_ptr0[i0] = tmp7; 2022-11-23T01:30:35.8053111Z out_ptr1[i0] = tmp13; 2022-11-23T01:30:35.8053162Z } 2022-11-23T01:30:35.8053223Z } 2022-11-23T01:30:35.8053287Z } 2022-11-23T01:30:35.8053347Z } 2022-11-23T01:30:35.8053407Z } 2022-11-23T01:30:35.8053486Z ''') 2022-11-23T01:30:35.8053490Z 2022-11-23T01:30:35.8053494Z 2022-11-23T01:30:35.8053586Z async_compile.wait(globals()) 2022-11-23T01:30:35.8053645Z del async_compile 2022-11-23T01:30:35.8053661Z 2022-11-23T01:30:35.8053718Z def call(args): 2022-11-23T01:30:35.8053785Z arg0_1, = args 2022-11-23T01:30:35.8053854Z args.clear() 2022-11-23T01:30:35.8054054Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8054251Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8054413Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.8054480Z del arg0_1 2022-11-23T01:30:35.8054544Z return (buf0, buf1, ) 2022-11-23T01:30:35.8054549Z 2022-11-23T01:30:35.8054553Z 2022-11-23T01:30:35.8054628Z if __name__ == "__main__": 2022-11-23T01:30:35.8054744Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8054865Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8055091Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8055198Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.8055203Z 2022-11-23T01:30:35.8055268Z ok (2.852s) 2022-11-23T01:30:35.8055572Z test_lgamma_cpu (__main__.CpuTests) ... [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8055876Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8056091Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8056342Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.8056659Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.8056980Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8057324Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8057644Z [2022-11-23 01:25:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8058017Z [2022-11-23 01:25:28,721] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8058110Z 2126 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.8058205Z 2 LOAD_METHOD 1 (lgamma) 2022-11-23T01:30:35.8058281Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8058371Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8058460Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:35.8058531Z 10 BINARY_ADD 2022-11-23T01:30:35.8058623Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.8058712Z 14 LOAD_METHOD 2 (cos) 2022-11-23T01:30:35.8058799Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8058872Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8058942Z 20 BINARY_ADD 2022-11-23T01:30:35.8059028Z 22 CALL_METHOD 1 2022-11-23T01:30:35.8059113Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.8059189Z 26 RETURN_VALUE 2022-11-23T01:30:35.8059249Z 2022-11-23T01:30:35.8059254Z 2022-11-23T01:30:35.8059565Z [2022-11-23 01:25:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2126 2022-11-23T01:30:35.8059787Z [2022-11-23 01:25:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.8060084Z [2022-11-23 01:25:28,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable()] 2022-11-23T01:30:35.8060337Z [2022-11-23 01:25:28,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)] 2022-11-23T01:30:35.8060621Z [2022-11-23 01:25:28,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()] 2022-11-23T01:30:35.8060855Z [2022-11-23 01:25:28,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.8061133Z [2022-11-23 01:25:28,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.8061377Z [2022-11-23 01:25:28,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.8061738Z [2022-11-23 01:25:28,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.8062011Z [2022-11-23 01:25:28,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)] 2022-11-23T01:30:35.8062312Z [2022-11-23 01:25:28,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:30:35.8062657Z [2022-11-23 01:25:28,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.8062953Z [2022-11-23 01:25:28,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:30:35.8063249Z [2022-11-23 01:25:28,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8063493Z [2022-11-23 01:25:28,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.8063870Z [2022-11-23 01:25:28,753] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8064112Z [2022-11-23 01:25:28,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.8064344Z [2022-11-23 01:25:28,753] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8064594Z [2022-11-23 01:25:28,756] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8064841Z [2022-11-23 01:25:28,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8065028Z [2022-11-23 01:25:28,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8065162Z __compiled_fn_223 .1789 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8065238Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8065349Z call_function, lgamma, aten.lgamma, (ex_0_,), {} 2022-11-23T01:30:35.8065523Z call_function, add, , (lgamma, 2), {} 2022-11-23T01:30:35.8065695Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:35.8065794Z call_function, cos, aten.cos, (add_1,), {} 2022-11-23T01:30:35.8065892Z output, output, output, ((add, cos),), {} 2022-11-23T01:30:35.8065897Z 2022-11-23T01:30:35.8066219Z [2022-11-23 01:25:28,768] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8066310Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8066389Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8066473Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8066566Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8066649Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8066736Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8066810Z 12 RETURN_VALUE 2022-11-23T01:30:35.8066816Z 2022-11-23T01:30:35.8066875Z 2022-11-23T01:30:35.8067181Z [2022-11-23 01:25:28,768] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8067288Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_223) 2022-11-23T01:30:35.8067375Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8067463Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8067538Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8067628Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8067730Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8067858Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8067935Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8068011Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.8068110Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8068197Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8068271Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.8068356Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.8068428Z 26 RETURN_VALUE 2022-11-23T01:30:35.8068433Z 2022-11-23T01:30:35.8068480Z 2022-11-23T01:30:35.8068663Z [2022-11-23 01:25:28,769] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8068733Z - 2022-11-23T01:30:35.8068850Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8068913Z { 2022-11-23T01:30:35.8069078Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8069262Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8069371Z 'obj_weakref': None 2022-11-23T01:30:35.8069595Z 'guarded_class': 2022-11-23T01:30:35.8069658Z } 2022-11-23T01:30:35.8069721Z 2022-11-23T01:30:35.8069790Z - 2022-11-23T01:30:35.8069913Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8069975Z { 2022-11-23T01:30:35.8070102Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8070208Z 'code': None, 2022-11-23T01:30:35.8070421Z 'obj_weakref': 2022-11-23T01:30:35.8070671Z 'guarded_class': 2022-11-23T01:30:35.8070737Z } 2022-11-23T01:30:35.8070799Z 2022-11-23T01:30:35.8070868Z - 2022-11-23T01:30:35.8070985Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.8071051Z { 2022-11-23T01:30:35.8071184Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8071353Z 'code': ['___check_obj_id(model, 140534625214976)'], 2022-11-23T01:30:35.8071470Z 'obj_weakref': None 2022-11-23T01:30:35.8071699Z 'guarded_class': 2022-11-23T01:30:35.8071761Z } 2022-11-23T01:30:35.8071811Z 2022-11-23T01:30:35.8071880Z - 2022-11-23T01:30:35.8072000Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8072061Z { 2022-11-23T01:30:35.8072195Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8072411Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8072529Z 'obj_weakref': None 2022-11-23T01:30:35.8072736Z 'guarded_class': 2022-11-23T01:30:35.8072802Z } 2022-11-23T01:30:35.8072863Z 2022-11-23T01:30:35.8072931Z - 2022-11-23T01:30:35.8073060Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.8073122Z { 2022-11-23T01:30:35.8073238Z 'guard_types': None, 2022-11-23T01:30:35.8073331Z 'code': None, 2022-11-23T01:30:35.8073448Z 'obj_weakref': None 2022-11-23T01:30:35.8073568Z 'guarded_class': None 2022-11-23T01:30:35.8073630Z } 2022-11-23T01:30:35.8073691Z 2022-11-23T01:30:35.8073950Z [2022-11-23 01:25:28,779] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216 2022-11-23T01:30:35.8074308Z [2022-11-23 01:25:30,822] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5z/c5z7mf62dr76qw5s2up4iay27uvwaxjcle6m4lbmvhnpwvjislwm.py 2022-11-23T01:30:35.8074561Z [2022-11-23 01:25:30,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216 2022-11-23T01:30:35.8074609Z 2022-11-23T01:30:35.8074691Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8074762Z import torch 2022-11-23T01:30:35.8074832Z import random 2022-11-23T01:30:35.8074949Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8075070Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8075075Z 2022-11-23T01:30:35.8075152Z aten = torch.ops.aten 2022-11-23T01:30:35.8075284Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8075363Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8075369Z 2022-11-23T01:30:35.8075373Z 2022-11-23T01:30:35.8075506Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.8075710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8075860Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.8075960Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.8076059Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.8076121Z { 2022-11-23T01:30:35.8076218Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8076268Z { 2022-11-23T01:30:35.8076344Z #pragma omp for 2022-11-23T01:30:35.8076426Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:35.8076488Z { 2022-11-23T01:30:35.8076626Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.8076714Z auto tmp1 = tmp0.lgamma(); 2022-11-23T01:30:35.8076846Z auto tmp2 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.8076918Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.8077049Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.8077139Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:35.8077222Z auto tmp6 = tmp5.cos(); 2022-11-23T01:30:35.8077312Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.8077403Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.8077465Z } 2022-11-23T01:30:35.8077546Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8077629Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:35.8077693Z { 2022-11-23T01:30:35.8077775Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.8077870Z auto tmp1 = std::lgamma(tmp0); 2022-11-23T01:30:35.8077967Z auto tmp2 = static_cast(2); 2022-11-23T01:30:35.8078052Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:35.8078137Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.8078220Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:35.8078309Z auto tmp6 = std::cos(tmp5); 2022-11-23T01:30:35.8078391Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.8078472Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.8078533Z } 2022-11-23T01:30:35.8078593Z } 2022-11-23T01:30:35.8078641Z } 2022-11-23T01:30:35.8078719Z ''') 2022-11-23T01:30:35.8078727Z 2022-11-23T01:30:35.8078731Z 2022-11-23T01:30:35.8078822Z async_compile.wait(globals()) 2022-11-23T01:30:35.8078896Z del async_compile 2022-11-23T01:30:35.8078901Z 2022-11-23T01:30:35.8078971Z def call(args): 2022-11-23T01:30:35.8079039Z arg0_1, = args 2022-11-23T01:30:35.8079109Z args.clear() 2022-11-23T01:30:35.8079299Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8079497Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8079661Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.8079728Z del arg0_1 2022-11-23T01:30:35.8079805Z return (buf0, buf1, ) 2022-11-23T01:30:35.8079810Z 2022-11-23T01:30:35.8079817Z 2022-11-23T01:30:35.8079894Z if __name__ == "__main__": 2022-11-23T01:30:35.8080096Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8080257Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8080448Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8080555Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.8080560Z 2022-11-23T01:30:35.8080626Z ok (2.139s) 2022-11-23T01:30:35.8080934Z test_linear1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:30,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8081251Z [2022-11-23 01:25:30,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8081468Z [2022-11-23 01:25:30,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8081710Z [2022-11-23 01:25:30,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8082008Z [2022-11-23 01:25:30,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8082321Z [2022-11-23 01:25:30,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8082639Z [2022-11-23 01:25:30,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8082948Z [2022-11-23 01:25:30,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8083329Z [2022-11-23 01:25:30,875] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8083420Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8083514Z 2 BUILD_TUPLE 1 2022-11-23T01:30:35.8083589Z 4 RETURN_VALUE 2022-11-23T01:30:35.8083650Z 2022-11-23T01:30:35.8083657Z 2022-11-23T01:30:35.8083969Z [2022-11-23 01:25:30,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170 2022-11-23T01:30:35.8084177Z [2022-11-23 01:25:30,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8084403Z [2022-11-23 01:25:30,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:35.8084647Z [2022-11-23 01:25:30,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.8085138Z [2022-11-23 01:25:30,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8085386Z [2022-11-23 01:25:30,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.8085624Z [2022-11-23 01:25:30,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8085875Z [2022-11-23 01:25:30,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8086123Z [2022-11-23 01:25:30,885] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8086309Z [2022-11-23 01:25:30,886] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8086443Z __compiled_fn_224 .1795 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8086520Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8086621Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.8086722Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.8086823Z output, output, output, ((model_1,),), {} 2022-11-23T01:30:35.8086831Z 2022-11-23T01:30:35.8087209Z [2022-11-23 01:25:30,886] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8087305Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8087395Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8087482Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8087560Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8087646Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8087734Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8087808Z 12 RETURN_VALUE 2022-11-23T01:30:35.8087813Z 2022-11-23T01:30:35.8087875Z 2022-11-23T01:30:35.8088196Z [2022-11-23 01:25:30,886] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8088341Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_224) 2022-11-23T01:30:35.8088430Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8088508Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8088584Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8088670Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8088774Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8088872Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.8088958Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8089032Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.8089105Z 18 BUILD_TUPLE 1 2022-11-23T01:30:35.8089179Z 20 RETURN_VALUE 2022-11-23T01:30:35.8089184Z 2022-11-23T01:30:35.8089244Z 2022-11-23T01:30:35.8089425Z [2022-11-23 01:25:30,887] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8089493Z - 2022-11-23T01:30:35.8089611Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8089677Z { 2022-11-23T01:30:35.8089804Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8089991Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8090109Z 'obj_weakref': None 2022-11-23T01:30:35.8090331Z 'guarded_class': 2022-11-23T01:30:35.8090396Z } 2022-11-23T01:30:35.8090458Z 2022-11-23T01:30:35.8090526Z - 2022-11-23T01:30:35.8090637Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8090701Z { 2022-11-23T01:30:35.8090840Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8090946Z 'code': None, 2022-11-23T01:30:35.8091157Z 'obj_weakref': 2022-11-23T01:30:35.8091406Z 'guarded_class': 2022-11-23T01:30:35.8091472Z } 2022-11-23T01:30:35.8091522Z 2022-11-23T01:30:35.8091588Z - 2022-11-23T01:30:35.8091710Z local 'model' NN_MODULE 2022-11-23T01:30:35.8091771Z { 2022-11-23T01:30:35.8091906Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8092073Z 'code': ['___check_obj_id(model, 140534624877152)'], 2022-11-23T01:30:35.8092292Z 'obj_weakref': 2022-11-23T01:30:35.8092512Z 'guarded_class': 2022-11-23T01:30:35.8092575Z } 2022-11-23T01:30:35.8092636Z 2022-11-23T01:30:35.8092705Z - 2022-11-23T01:30:35.8092826Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8092888Z { 2022-11-23T01:30:35.8093022Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8093229Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8093346Z 'obj_weakref': None 2022-11-23T01:30:35.8093599Z 'guarded_class': 2022-11-23T01:30:35.8093664Z } 2022-11-23T01:30:35.8093725Z 2022-11-23T01:30:35.8093793Z - 2022-11-23T01:30:35.8093937Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.8093987Z { 2022-11-23T01:30:35.8094104Z 'guard_types': None, 2022-11-23T01:30:35.8094208Z 'code': None, 2022-11-23T01:30:35.8094323Z 'obj_weakref': None 2022-11-23T01:30:35.8094441Z 'guarded_class': None 2022-11-23T01:30:35.8094502Z } 2022-11-23T01:30:35.8094563Z 2022-11-23T01:30:35.8094618Z - 2022-11-23T01:30:35.8094759Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.8094851Z { 2022-11-23T01:30:35.8094971Z 'guard_types': None, 2022-11-23T01:30:35.8095076Z 'code': None, 2022-11-23T01:30:35.8095190Z 'obj_weakref': None 2022-11-23T01:30:35.8095311Z 'guarded_class': None 2022-11-23T01:30:35.8095360Z } 2022-11-23T01:30:35.8095421Z 2022-11-23T01:30:35.8095490Z - 2022-11-23T01:30:35.8095630Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:30:35.8095691Z { 2022-11-23T01:30:35.8095807Z 'guard_types': None, 2022-11-23T01:30:35.8095898Z 'code': None, 2022-11-23T01:30:35.8096013Z 'obj_weakref': None 2022-11-23T01:30:35.8096131Z 'guarded_class': None 2022-11-23T01:30:35.8096195Z } 2022-11-23T01:30:35.8096257Z 2022-11-23T01:30:35.8096516Z [2022-11-23 01:25:30,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217 2022-11-23T01:30:35.8096881Z [2022-11-23 01:25:32,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nh/cnhu2ivce2rkl4c6mg526nzi4pynafitxi2zgaqm5gpduqaswstl.py 2022-11-23T01:30:35.8097144Z [2022-11-23 01:25:32,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217 2022-11-23T01:30:35.8097150Z 2022-11-23T01:30:35.8097230Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8097298Z import torch 2022-11-23T01:30:35.8097366Z import random 2022-11-23T01:30:35.8097480Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8097599Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8097604Z 2022-11-23T01:30:35.8097680Z aten = torch.ops.aten 2022-11-23T01:30:35.8097812Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8097901Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8097907Z 2022-11-23T01:30:35.8097911Z 2022-11-23T01:30:35.8098029Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.8098235Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8098351Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.8098415Z { 2022-11-23T01:30:35.8098513Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8098573Z { 2022-11-23T01:30:35.8098648Z #pragma omp for 2022-11-23T01:30:35.8098717Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:35.8098779Z { 2022-11-23T01:30:35.8098921Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8099054Z auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp()); 2022-11-23T01:30:35.8099153Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8099214Z } 2022-11-23T01:30:35.8099308Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8099377Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:35.8099437Z { 2022-11-23T01:30:35.8099526Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.8099661Z auto tmp1 = std::exp(-tmp0); 2022-11-23T01:30:35.8099744Z auto tmp2 = 1 / (1 + tmp1); 2022-11-23T01:30:35.8099855Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.8099917Z } 2022-11-23T01:30:35.8099966Z } 2022-11-23T01:30:35.8100025Z } 2022-11-23T01:30:35.8100103Z ''') 2022-11-23T01:30:35.8100108Z 2022-11-23T01:30:35.8100112Z 2022-11-23T01:30:35.8100200Z async_compile.wait(globals()) 2022-11-23T01:30:35.8100272Z del async_compile 2022-11-23T01:30:35.8100277Z 2022-11-23T01:30:35.8100346Z def call(args): 2022-11-23T01:30:35.8100446Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.8100504Z args.clear() 2022-11-23T01:30:35.8100702Z buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8100865Z aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0) 2022-11-23T01:30:35.8100937Z del primals_1 2022-11-23T01:30:35.8101047Z del primals_2 2022-11-23T01:30:35.8101131Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.8101231Z kernel_cpp_0(c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.8101321Z return (buf1, primals_3, buf1, ) 2022-11-23T01:30:35.8101326Z 2022-11-23T01:30:35.8101330Z 2022-11-23T01:30:35.8101393Z if __name__ == "__main__": 2022-11-23T01:30:35.8101505Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8101626Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8101830Z primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8102029Z primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8102227Z primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8102362Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.8102367Z 2022-11-23T01:30:35.8102434Z ok (1.552s) 2022-11-23T01:30:35.8102727Z test_linear2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:32,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8103046Z [2022-11-23 01:25:32,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8103265Z [2022-11-23 01:25:32,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8103510Z [2022-11-23 01:25:32,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8103779Z [2022-11-23 01:25:32,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8104089Z [2022-11-23 01:25:32,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8104423Z [2022-11-23 01:25:32,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8104736Z [2022-11-23 01:25:32,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8104979Z [2022-11-23 01:25:32,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8105211Z [2022-11-23 01:25:32,433] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8105449Z [2022-11-23 01:25:32,435] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8105697Z [2022-11-23 01:25:32,457] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8105882Z [2022-11-23 01:25:32,457] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8106014Z __compiled_fn_225 .1806 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8106104Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8106202Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.8106334Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:30:35.8106434Z call_module, model_2, model_2, (model_1,), {} 2022-11-23T01:30:35.8106518Z call_module, model_3, model_3, (model_2,), {} 2022-11-23T01:30:35.8106614Z call_module, model_4, model_4, (model_3,), {} 2022-11-23T01:30:35.8106706Z call_module, model_5, model_5, (model_4,), {} 2022-11-23T01:30:35.8106801Z call_module, model_6, model_6, (model_5,), {} 2022-11-23T01:30:35.8106894Z call_module, model_7, model_7, (model_6,), {} 2022-11-23T01:30:35.8106989Z output, output, output, ((model_7,),), {} 2022-11-23T01:30:35.8106994Z 2022-11-23T01:30:35.8107323Z [2022-11-23 01:25:32,458] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8107416Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8107523Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8107607Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8107699Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8107782Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8107870Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8107943Z 12 RETURN_VALUE 2022-11-23T01:30:35.8107948Z 2022-11-23T01:30:35.8108008Z 2022-11-23T01:30:35.8108318Z [2022-11-23 01:25:32,458] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8108425Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_225) 2022-11-23T01:30:35.8108513Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8108600Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8108677Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8108765Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8108854Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8108915Z 12 RETURN_VALUE 2022-11-23T01:30:35.8108933Z 2022-11-23T01:30:35.8108981Z 2022-11-23T01:30:35.8109162Z [2022-11-23 01:25:32,459] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8109230Z - 2022-11-23T01:30:35.8109347Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8109410Z { 2022-11-23T01:30:35.8109548Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8109733Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8109838Z 'obj_weakref': None 2022-11-23T01:30:35.8110061Z 'guarded_class': 2022-11-23T01:30:35.8110125Z } 2022-11-23T01:30:35.8110187Z 2022-11-23T01:30:35.8110254Z - 2022-11-23T01:30:35.8110378Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8110439Z { 2022-11-23T01:30:35.8110568Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8110678Z 'code': None, 2022-11-23T01:30:35.8110887Z 'obj_weakref': 2022-11-23T01:30:35.8111138Z 'guarded_class': 2022-11-23T01:30:35.8111201Z } 2022-11-23T01:30:35.8111264Z 2022-11-23T01:30:35.8111333Z - 2022-11-23T01:30:35.8111437Z local 'model' NN_MODULE 2022-11-23T01:30:35.8111500Z { 2022-11-23T01:30:35.8111636Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8111805Z 'code': ['___check_obj_id(model, 140534621942256)'], 2022-11-23T01:30:35.8112025Z 'obj_weakref': 2022-11-23T01:30:35.8112260Z 'guarded_class': 2022-11-23T01:30:35.8112324Z } 2022-11-23T01:30:35.8112374Z 2022-11-23T01:30:35.8112496Z - 2022-11-23T01:30:35.8112621Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8112683Z { 2022-11-23T01:30:35.8112819Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8113034Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8113152Z 'obj_weakref': None 2022-11-23T01:30:35.8113359Z 'guarded_class': 2022-11-23T01:30:35.8113422Z } 2022-11-23T01:30:35.8113488Z 2022-11-23T01:30:35.8113559Z - 2022-11-23T01:30:35.8113706Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.8113769Z { 2022-11-23T01:30:35.8113887Z 'guard_types': None, 2022-11-23T01:30:35.8114008Z 'code': None, 2022-11-23T01:30:35.8114133Z 'obj_weakref': None 2022-11-23T01:30:35.8114305Z 'guarded_class': None 2022-11-23T01:30:35.8114398Z } 2022-11-23T01:30:35.8114486Z 2022-11-23T01:30:35.8114575Z - 2022-11-23T01:30:35.8114756Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.8114822Z { 2022-11-23T01:30:35.8114942Z 'guard_types': None, 2022-11-23T01:30:35.8115050Z 'code': None, 2022-11-23T01:30:35.8115168Z 'obj_weakref': None 2022-11-23T01:30:35.8115289Z 'guarded_class': None 2022-11-23T01:30:35.8115356Z } 2022-11-23T01:30:35.8115407Z 2022-11-23T01:30:35.8115476Z - 2022-11-23T01:30:35.8115621Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:30:35.8115684Z { 2022-11-23T01:30:35.8115802Z 'guard_types': None, 2022-11-23T01:30:35.8115910Z 'code': None, 2022-11-23T01:30:35.8116026Z 'obj_weakref': None 2022-11-23T01:30:35.8116132Z 'guarded_class': None 2022-11-23T01:30:35.8116197Z } 2022-11-23T01:30:35.8116261Z 2022-11-23T01:30:35.8116328Z - 2022-11-23T01:30:35.8116472Z local_nn_module 'model[3]' NN_MODULE 2022-11-23T01:30:35.8116534Z { 2022-11-23T01:30:35.8116638Z 'guard_types': None, 2022-11-23T01:30:35.8116743Z 'code': None, 2022-11-23T01:30:35.8116860Z 'obj_weakref': None 2022-11-23T01:30:35.8116982Z 'guarded_class': None 2022-11-23T01:30:35.8117044Z } 2022-11-23T01:30:35.8117106Z 2022-11-23T01:30:35.8117174Z - 2022-11-23T01:30:35.8117302Z local_nn_module 'model[4]' NN_MODULE 2022-11-23T01:30:35.8117365Z { 2022-11-23T01:30:35.8117482Z 'guard_types': None, 2022-11-23T01:30:35.8117586Z 'code': None, 2022-11-23T01:30:35.8117704Z 'obj_weakref': None 2022-11-23T01:30:35.8117825Z 'guarded_class': None 2022-11-23T01:30:35.8117889Z } 2022-11-23T01:30:35.8117940Z 2022-11-23T01:30:35.8118008Z - 2022-11-23T01:30:35.8118151Z local_nn_module 'model[5]' NN_MODULE 2022-11-23T01:30:35.8118219Z { 2022-11-23T01:30:35.8118337Z 'guard_types': None, 2022-11-23T01:30:35.8118439Z 'code': None, 2022-11-23T01:30:35.8118557Z 'obj_weakref': None 2022-11-23T01:30:35.8118664Z 'guarded_class': None 2022-11-23T01:30:35.8118728Z } 2022-11-23T01:30:35.8118790Z 2022-11-23T01:30:35.8118858Z - 2022-11-23T01:30:35.8118998Z local_nn_module 'model[6]' NN_MODULE 2022-11-23T01:30:35.8119060Z { 2022-11-23T01:30:35.8119163Z 'guard_types': None, 2022-11-23T01:30:35.8119267Z 'code': None, 2022-11-23T01:30:35.8119385Z 'obj_weakref': None 2022-11-23T01:30:35.8119504Z 'guarded_class': None 2022-11-23T01:30:35.8119568Z } 2022-11-23T01:30:35.8119631Z 2022-11-23T01:30:35.8119743Z - 2022-11-23T01:30:35.8119874Z local_nn_module 'model[7]' NN_MODULE 2022-11-23T01:30:35.8119937Z { 2022-11-23T01:30:35.8120123Z 'guard_types': None, 2022-11-23T01:30:35.8120231Z 'code': None, 2022-11-23T01:30:35.8120348Z 'obj_weakref': None 2022-11-23T01:30:35.8120466Z 'guarded_class': None 2022-11-23T01:30:35.8120528Z } 2022-11-23T01:30:35.8120576Z 2022-11-23T01:30:35.8120842Z [2022-11-23 01:25:32,566] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218 2022-11-23T01:30:35.8121215Z [2022-11-23 01:25:34,150] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6v/c6vvldms4kioabedn3aqr76hn2p5dpyvzvlvchrowktetvczx55c.py 2022-11-23T01:30:35.8121515Z [2022-11-23 01:25:34,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218 2022-11-23T01:30:35.8121520Z 2022-11-23T01:30:35.8121617Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8121686Z import torch 2022-11-23T01:30:35.8121756Z import random 2022-11-23T01:30:35.8121870Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8121979Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8121984Z 2022-11-23T01:30:35.8122062Z aten = torch.ops.aten 2022-11-23T01:30:35.8122195Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8122285Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8122290Z 2022-11-23T01:30:35.8122294Z 2022-11-23T01:30:35.8122425Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.8122632Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8122749Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.8122813Z { 2022-11-23T01:30:35.8122898Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8122958Z { 2022-11-23T01:30:35.8123037Z #pragma omp for 2022-11-23T01:30:35.8123118Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.8123180Z { 2022-11-23T01:30:35.8123322Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8123449Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:30:35.8123531Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8123593Z } 2022-11-23T01:30:35.8123689Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8123771Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:35.8123832Z { 2022-11-23T01:30:35.8123919Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.8124005Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:35.8124073Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.8124136Z } 2022-11-23T01:30:35.8124196Z } 2022-11-23T01:30:35.8124255Z } 2022-11-23T01:30:35.8124333Z ''') 2022-11-23T01:30:35.8124338Z 2022-11-23T01:30:35.8124342Z 2022-11-23T01:30:35.8124475Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.8124679Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8124917Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.8125006Z { 2022-11-23T01:30:35.8125133Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8125197Z { 2022-11-23T01:30:35.8125273Z #pragma omp for 2022-11-23T01:30:35.8125352Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.8125413Z { 2022-11-23T01:30:35.8125537Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8125663Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:30:35.8125759Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8125824Z } 2022-11-23T01:30:35.8125919Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8126001Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:35.8126118Z { 2022-11-23T01:30:35.8126195Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.8126282Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:35.8126363Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.8126423Z } 2022-11-23T01:30:35.8126484Z } 2022-11-23T01:30:35.8126544Z } 2022-11-23T01:30:35.8126615Z ''') 2022-11-23T01:30:35.8126632Z 2022-11-23T01:30:35.8126636Z 2022-11-23T01:30:35.8126756Z kernel_cpp_2 = async_compile.cpp(''' 2022-11-23T01:30:35.8126958Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8127073Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:35.8127133Z { 2022-11-23T01:30:35.8127229Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8127325Z { 2022-11-23T01:30:35.8127401Z #pragma omp for 2022-11-23T01:30:35.8127468Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:35.8127529Z { 2022-11-23T01:30:35.8127665Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8127789Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:30:35.8127884Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:35.8127945Z } 2022-11-23T01:30:35.8128038Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.8128105Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:35.8128167Z { 2022-11-23T01:30:35.8128254Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.8128340Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:35.8128420Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.8128481Z } 2022-11-23T01:30:35.8128541Z } 2022-11-23T01:30:35.8128587Z } 2022-11-23T01:30:35.8128666Z ''') 2022-11-23T01:30:35.8128673Z 2022-11-23T01:30:35.8128677Z 2022-11-23T01:30:35.8128808Z kernel_cpp_3 = async_compile.cpp(''' 2022-11-23T01:30:35.8129009Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.8129122Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.8129219Z bool* __restrict__ out_ptr0) 2022-11-23T01:30:35.8129279Z { 2022-11-23T01:30:35.8129361Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.8129422Z { 2022-11-23T01:30:35.8129497Z #pragma omp for 2022-11-23T01:30:35.8129581Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.8129642Z { 2022-11-23T01:30:35.8129703Z { 2022-11-23T01:30:35.8129768Z { 2022-11-23T01:30:35.8129852Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.8129944Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:35.8130046Z auto tmp2 = static_cast(0); 2022-11-23T01:30:35.8130139Z auto tmp3 = tmp1 <= tmp2; 2022-11-23T01:30:35.8130227Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.8130313Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.8130378Z } 2022-11-23T01:30:35.8130429Z } 2022-11-23T01:30:35.8130490Z } 2022-11-23T01:30:35.8130550Z } 2022-11-23T01:30:35.8130610Z } 2022-11-23T01:30:35.8130685Z ''') 2022-11-23T01:30:35.8130690Z 2022-11-23T01:30:35.8130694Z 2022-11-23T01:30:35.8130781Z async_compile.wait(globals()) 2022-11-23T01:30:35.8130851Z del async_compile 2022-11-23T01:30:35.8130855Z 2022-11-23T01:30:35.8130912Z def call(args): 2022-11-23T01:30:35.8131081Z primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args 2022-11-23T01:30:35.8131152Z args.clear() 2022-11-23T01:30:35.8131347Z buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8131510Z aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0) 2022-11-23T01:30:35.8131582Z del primals_1 2022-11-23T01:30:35.8131651Z del primals_2 2022-11-23T01:30:35.8131762Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:35.8131854Z kernel_cpp_0(c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.8132044Z buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8132198Z aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2) 2022-11-23T01:30:35.8132267Z del primals_4 2022-11-23T01:30:35.8132349Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:30:35.8132449Z kernel_cpp_1(c_void_p(buf3.data_ptr())) 2022-11-23T01:30:35.8132638Z buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8132779Z aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4) 2022-11-23T01:30:35.8132849Z del primals_6 2022-11-23T01:30:35.8132962Z buf5 = buf4; del buf4 # reuse 2022-11-23T01:30:35.8133063Z kernel_cpp_2(c_void_p(buf5.data_ptr())) 2022-11-23T01:30:35.8133255Z buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8133406Z aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6) 2022-11-23T01:30:35.8133476Z del primals_8 2022-11-23T01:30:35.8133545Z buf7 = buf6; del buf6 # reuse 2022-11-23T01:30:35.8133731Z buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.8133862Z kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:30:35.8134062Z return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), ) 2022-11-23T01:30:35.8134067Z 2022-11-23T01:30:35.8134072Z 2022-11-23T01:30:35.8134147Z if __name__ == "__main__": 2022-11-23T01:30:35.8134261Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8134383Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8134583Z primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8134779Z primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8134963Z primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8135155Z primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8135351Z primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8135542Z primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8135737Z primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8135929Z primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8136122Z primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.8136327Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9])) 2022-11-23T01:30:35.8136334Z 2022-11-23T01:30:35.8136387Z ok (1.747s) 2022-11-23T01:30:35.8136703Z test_linear_binary_cpu (__main__.CpuTests) ... [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8137019Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8137233Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8137474Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8137744Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8138083Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8138417Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8138725Z [2022-11-23 01:25:34,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8139103Z [2022-11-23 01:25:34,159] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8139196Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8139278Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8139402Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8139489Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8139580Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8139585Z 2022-11-23T01:30:35.8139677Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8139772Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8139859Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8139933Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8140017Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8140103Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8140108Z 2022-11-23T01:30:35.8140192Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8140267Z 24 RETURN_VALUE 2022-11-23T01:30:35.8140327Z 2022-11-23T01:30:35.8140332Z 2022-11-23T01:30:35.8140645Z [2022-11-23 01:25:34,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8140861Z [2022-11-23 01:25:34,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8141098Z [2022-11-23 01:25:34,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8141339Z [2022-11-23 01:25:34,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8141613Z [2022-11-23 01:25:34,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8141849Z [2022-11-23 01:25:34,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8142160Z [2022-11-23 01:25:34,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8142369Z [2022-11-23 01:25:34,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8142619Z [2022-11-23 01:25:34,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8142873Z [2022-11-23 01:25:34,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8143151Z [2022-11-23 01:25:34,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8143463Z [2022-11-23 01:25:34,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8143830Z [2022-11-23 01:25:34,168] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8143925Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8144017Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8144110Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8144197Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8144311Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8144387Z 10 RETURN_VALUE 2022-11-23T01:30:35.8144436Z 2022-11-23T01:30:35.8144452Z 2022-11-23T01:30:35.8144656Z [2022-11-23 01:25:34,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8145022Z [2022-11-23 01:25:34,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8145344Z [2022-11-23 01:25:34,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8145685Z [2022-11-23 01:25:34,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8146112Z [2022-11-23 01:25:34,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8146358Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8146743Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8146981Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8147292Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8147499Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8147736Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8148124Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8148369Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8148599Z [2022-11-23 01:25:34,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8148851Z [2022-11-23 01:25:34,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8149098Z [2022-11-23 01:25:34,183] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8149288Z [2022-11-23 01:25:34,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8149422Z __compiled_fn_226 .1822 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8149514Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8149588Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8149711Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8149819Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8149824Z 2022-11-23T01:30:35.8150146Z [2022-11-23 01:25:34,183] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8150239Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8150329Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8150415Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8150506Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8150581Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8150668Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8150742Z 12 RETURN_VALUE 2022-11-23T01:30:35.8150776Z 2022-11-23T01:30:35.8150840Z 2022-11-23T01:30:35.8151160Z [2022-11-23 01:25:34,184] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8151268Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_226) 2022-11-23T01:30:35.8151357Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8151446Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8151510Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8151598Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8151685Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8151761Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8151849Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8151965Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8152040Z 18 RETURN_VALUE 2022-11-23T01:30:35.8152045Z 2022-11-23T01:30:35.8152093Z 2022-11-23T01:30:35.8152276Z [2022-11-23 01:25:34,184] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8152348Z - 2022-11-23T01:30:35.8152467Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8152531Z { 2022-11-23T01:30:35.8152669Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8152853Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8152959Z 'obj_weakref': None 2022-11-23T01:30:35.8153185Z 'guarded_class': 2022-11-23T01:30:35.8153250Z } 2022-11-23T01:30:35.8153313Z 2022-11-23T01:30:35.8153382Z - 2022-11-23T01:30:35.8153505Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8153568Z { 2022-11-23T01:30:35.8153699Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8153807Z 'code': None, 2022-11-23T01:30:35.8154023Z 'obj_weakref': 2022-11-23T01:30:35.8154275Z 'guarded_class': 2022-11-23T01:30:35.8154341Z } 2022-11-23T01:30:35.8154404Z 2022-11-23T01:30:35.8154472Z - 2022-11-23T01:30:35.8154581Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8154643Z { 2022-11-23T01:30:35.8154783Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8154889Z 'code': None, 2022-11-23T01:30:35.8155100Z 'obj_weakref': 2022-11-23T01:30:35.8155350Z 'guarded_class': 2022-11-23T01:30:35.8155416Z } 2022-11-23T01:30:35.8155466Z 2022-11-23T01:30:35.8155535Z - 2022-11-23T01:30:35.8155655Z local 'model' NN_MODULE 2022-11-23T01:30:35.8155720Z { 2022-11-23T01:30:35.8155854Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8156022Z 'code': ['___check_obj_id(model, 140534428166384)'], 2022-11-23T01:30:35.8156227Z 'obj_weakref': 2022-11-23T01:30:35.8156432Z 'guarded_class': 2022-11-23T01:30:35.8156496Z } 2022-11-23T01:30:35.8156560Z 2022-11-23T01:30:35.8156629Z - 2022-11-23T01:30:35.8156749Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8156831Z { 2022-11-23T01:30:35.8156964Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8157167Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8157289Z 'obj_weakref': None 2022-11-23T01:30:35.8157542Z 'guarded_class': 2022-11-23T01:30:35.8157606Z } 2022-11-23T01:30:35.8157668Z 2022-11-23T01:30:35.8157737Z - 2022-11-23T01:30:35.8157870Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8157920Z { 2022-11-23T01:30:35.8158039Z 'guard_types': None, 2022-11-23T01:30:35.8158143Z 'code': None, 2022-11-23T01:30:35.8158262Z 'obj_weakref': None 2022-11-23T01:30:35.8158382Z 'guarded_class': None 2022-11-23T01:30:35.8158444Z } 2022-11-23T01:30:35.8158505Z 2022-11-23T01:30:35.8158561Z - 2022-11-23T01:30:35.8158715Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8158778Z { 2022-11-23T01:30:35.8158896Z 'guard_types': None, 2022-11-23T01:30:35.8159027Z 'code': None, 2022-11-23T01:30:35.8159145Z 'obj_weakref': None 2022-11-23T01:30:35.8159265Z 'guarded_class': None 2022-11-23T01:30:35.8159315Z } 2022-11-23T01:30:35.8159376Z 2022-11-23T01:30:35.8159443Z - 2022-11-23T01:30:35.8159609Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8159670Z { 2022-11-23T01:30:35.8159787Z 'guard_types': None, 2022-11-23T01:30:35.8159879Z 'code': None, 2022-11-23T01:30:35.8165202Z 'obj_weakref': None 2022-11-23T01:30:35.8165386Z 'guarded_class': None 2022-11-23T01:30:35.8165453Z } 2022-11-23T01:30:35.8165515Z 2022-11-23T01:30:35.8165777Z [2022-11-23 01:25:34,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219 2022-11-23T01:30:35.8166144Z [2022-11-23 01:25:34,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:30:35.8166417Z [2022-11-23 01:25:34,208] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219 2022-11-23T01:30:35.8166654Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8166969Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8167188Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8167429Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8167696Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8168005Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8168345Z [2022-11-23 01:25:34,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8168647Z [2022-11-23 01:25:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8169025Z [2022-11-23 01:25:34,213] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8169120Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8169214Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8169306Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8169394Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8169485Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8169492Z 2022-11-23T01:30:35.8169582Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8169777Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8169867Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8169954Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8170041Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8170127Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8170131Z 2022-11-23T01:30:35.8170214Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8170294Z 24 RETURN_VALUE 2022-11-23T01:30:35.8170355Z 2022-11-23T01:30:35.8170360Z 2022-11-23T01:30:35.8170664Z [2022-11-23 01:25:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8170920Z [2022-11-23 01:25:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8171169Z [2022-11-23 01:25:34,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8171415Z [2022-11-23 01:25:34,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8171689Z [2022-11-23 01:25:34,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8171926Z [2022-11-23 01:25:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8172239Z [2022-11-23 01:25:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8172450Z [2022-11-23 01:25:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8172700Z [2022-11-23 01:25:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8172942Z [2022-11-23 01:25:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8173219Z [2022-11-23 01:25:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8173532Z [2022-11-23 01:25:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8173912Z [2022-11-23 01:25:34,217] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8174008Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8174101Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8174189Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8174279Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8174365Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8174429Z 10 RETURN_VALUE 2022-11-23T01:30:35.8174490Z 2022-11-23T01:30:35.8174495Z 2022-11-23T01:30:35.8174714Z [2022-11-23 01:25:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8175079Z [2022-11-23 01:25:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8175399Z [2022-11-23 01:25:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8175743Z [2022-11-23 01:25:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8176122Z [2022-11-23 01:25:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8176398Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8176782Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8177019Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8177318Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8177523Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8177765Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8178179Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8178422Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8178654Z [2022-11-23 01:25:34,219] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8178906Z [2022-11-23 01:25:34,220] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8179151Z [2022-11-23 01:25:34,227] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8179337Z [2022-11-23 01:25:34,227] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8179456Z __compiled_fn_227 .1833 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8179549Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8179636Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8179759Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8179865Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8179870Z 2022-11-23T01:30:35.8180191Z [2022-11-23 01:25:34,228] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8180284Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8180371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8180444Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8180534Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8180617Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8180703Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8180779Z 12 RETURN_VALUE 2022-11-23T01:30:35.8180784Z 2022-11-23T01:30:35.8180845Z 2022-11-23T01:30:35.8181166Z [2022-11-23 01:25:34,228] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8181275Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_227) 2022-11-23T01:30:35.8181350Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8181438Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8181513Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8181598Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8181684Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8181757Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8181843Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8181920Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8181993Z 18 RETURN_VALUE 2022-11-23T01:30:35.8182001Z 2022-11-23T01:30:35.8182061Z 2022-11-23T01:30:35.8182243Z [2022-11-23 01:25:34,228] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8182312Z - 2022-11-23T01:30:35.8182457Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8182521Z { 2022-11-23T01:30:35.8182648Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8182833Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8182950Z 'obj_weakref': None 2022-11-23T01:30:35.8183175Z 'guarded_class': 2022-11-23T01:30:35.8183239Z } 2022-11-23T01:30:35.8183300Z 2022-11-23T01:30:35.8183367Z - 2022-11-23T01:30:35.8183478Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8183540Z { 2022-11-23T01:30:35.8183681Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8183785Z 'code': None, 2022-11-23T01:30:35.8184025Z 'obj_weakref': 2022-11-23T01:30:35.8184279Z 'guarded_class': 2022-11-23T01:30:35.8184340Z } 2022-11-23T01:30:35.8184390Z 2022-11-23T01:30:35.8184458Z - 2022-11-23T01:30:35.8184579Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8184640Z { 2022-11-23T01:30:35.8184780Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8184885Z 'code': None, 2022-11-23T01:30:35.8185091Z 'obj_weakref': 2022-11-23T01:30:35.8185328Z 'guarded_class': 2022-11-23T01:30:35.8185389Z } 2022-11-23T01:30:35.8185450Z 2022-11-23T01:30:35.8185518Z - 2022-11-23T01:30:35.8185636Z local 'model' NN_MODULE 2022-11-23T01:30:35.8185698Z { 2022-11-23T01:30:35.8185832Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8185988Z 'code': ['___check_obj_id(model, 140534620830592)'], 2022-11-23T01:30:35.8186190Z 'obj_weakref': 2022-11-23T01:30:35.8186405Z 'guarded_class': 2022-11-23T01:30:35.8186468Z } 2022-11-23T01:30:35.8186530Z 2022-11-23T01:30:35.8186598Z - 2022-11-23T01:30:35.8186718Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8186768Z { 2022-11-23T01:30:35.8186902Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8187117Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8187234Z 'obj_weakref': None 2022-11-23T01:30:35.8187457Z 'guarded_class': 2022-11-23T01:30:35.8187519Z } 2022-11-23T01:30:35.8187579Z 2022-11-23T01:30:35.8187637Z - 2022-11-23T01:30:35.8187769Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8187831Z { 2022-11-23T01:30:35.8187949Z 'guard_types': None, 2022-11-23T01:30:35.8188054Z 'code': None, 2022-11-23T01:30:35.8188167Z 'obj_weakref': None 2022-11-23T01:30:35.8188286Z 'guarded_class': None 2022-11-23T01:30:35.8188335Z } 2022-11-23T01:30:35.8188396Z 2022-11-23T01:30:35.8188464Z - 2022-11-23T01:30:35.8188618Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8188678Z { 2022-11-23T01:30:35.8188795Z 'guard_types': None, 2022-11-23T01:30:35.8188897Z 'code': None, 2022-11-23T01:30:35.8189000Z 'obj_weakref': None 2022-11-23T01:30:35.8189124Z 'guarded_class': None 2022-11-23T01:30:35.8189184Z } 2022-11-23T01:30:35.8189246Z 2022-11-23T01:30:35.8189312Z - 2022-11-23T01:30:35.8189508Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8189560Z { 2022-11-23T01:30:35.8189676Z 'guard_types': None, 2022-11-23T01:30:35.8189780Z 'code': None, 2022-11-23T01:30:35.8189895Z 'obj_weakref': None 2022-11-23T01:30:35.8190012Z 'guarded_class': None 2022-11-23T01:30:35.8190074Z } 2022-11-23T01:30:35.8190135Z 2022-11-23T01:30:35.8190384Z [2022-11-23 01:25:34,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220 2022-11-23T01:30:35.8190753Z [2022-11-23 01:25:34,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:30:35.8191017Z [2022-11-23 01:25:34,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220 2022-11-23T01:30:35.8191283Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8191595Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8191810Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8192050Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8192315Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8192627Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8192966Z [2022-11-23 01:25:34,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8193269Z [2022-11-23 01:25:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8193649Z [2022-11-23 01:25:34,251] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8193741Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8193836Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8193925Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8194013Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8194101Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8194106Z 2022-11-23T01:30:35.8194198Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8194292Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8194368Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8194453Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8194540Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8194627Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8194631Z 2022-11-23T01:30:35.8194713Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8194787Z 24 RETURN_VALUE 2022-11-23T01:30:35.8194846Z 2022-11-23T01:30:35.8194851Z 2022-11-23T01:30:35.8195155Z [2022-11-23 01:25:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8195368Z [2022-11-23 01:25:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8195614Z [2022-11-23 01:25:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8195886Z [2022-11-23 01:25:34,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8196166Z [2022-11-23 01:25:34,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8196399Z [2022-11-23 01:25:34,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8196710Z [2022-11-23 01:25:34,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8196919Z [2022-11-23 01:25:34,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8197167Z [2022-11-23 01:25:34,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8197413Z [2022-11-23 01:25:34,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8197723Z [2022-11-23 01:25:34,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8198034Z [2022-11-23 01:25:34,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8198415Z [2022-11-23 01:25:34,260] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8198510Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8198601Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8198688Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8198774Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8198859Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8198923Z 10 RETURN_VALUE 2022-11-23T01:30:35.8198984Z 2022-11-23T01:30:35.8198989Z 2022-11-23T01:30:35.8199209Z [2022-11-23 01:25:34,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8199576Z [2022-11-23 01:25:34,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8199891Z [2022-11-23 01:25:34,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8200329Z [2022-11-23 01:25:34,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8200710Z [2022-11-23 01:25:34,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8200961Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8201349Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8201587Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8201897Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8202092Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8202336Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8202718Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8203013Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8203248Z [2022-11-23 01:25:34,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8203501Z [2022-11-23 01:25:34,263] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8203745Z [2022-11-23 01:25:34,276] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8203931Z [2022-11-23 01:25:34,277] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8204064Z __compiled_fn_228 .1844 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8204140Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8204268Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8204387Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8204494Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8204502Z 2022-11-23T01:30:35.8204926Z [2022-11-23 01:25:34,277] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8205020Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8205110Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8205196Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8205274Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8205357Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8205446Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8205522Z 12 RETURN_VALUE 2022-11-23T01:30:35.8205527Z 2022-11-23T01:30:35.8205587Z 2022-11-23T01:30:35.8205913Z [2022-11-23 01:25:34,277] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8206026Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_228) 2022-11-23T01:30:35.8206102Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8206192Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8206266Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8206353Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8206441Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8206515Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8206602Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8206677Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8206751Z 18 RETURN_VALUE 2022-11-23T01:30:35.8206756Z 2022-11-23T01:30:35.8206815Z 2022-11-23T01:30:35.8206995Z [2022-11-23 01:25:34,278] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8207068Z - 2022-11-23T01:30:35.8207185Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8207247Z { 2022-11-23T01:30:35.8207377Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8207559Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8207677Z 'obj_weakref': None 2022-11-23T01:30:35.8207907Z 'guarded_class': 2022-11-23T01:30:35.8207970Z } 2022-11-23T01:30:35.8208032Z 2022-11-23T01:30:35.8208101Z - 2022-11-23T01:30:35.8208223Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8208273Z { 2022-11-23T01:30:35.8208412Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8208516Z 'code': None, 2022-11-23T01:30:35.8208726Z 'obj_weakref': 2022-11-23T01:30:35.8208981Z 'guarded_class': 2022-11-23T01:30:35.8209042Z } 2022-11-23T01:30:35.8209150Z 2022-11-23T01:30:35.8209208Z - 2022-11-23T01:30:35.8209329Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8209390Z { 2022-11-23T01:30:35.8209532Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8209636Z 'code': None, 2022-11-23T01:30:35.8209846Z 'obj_weakref': 2022-11-23T01:30:35.8210096Z 'guarded_class': 2022-11-23T01:30:35.8210146Z } 2022-11-23T01:30:35.8210208Z 2022-11-23T01:30:35.8210276Z - 2022-11-23T01:30:35.8210396Z local 'model' NN_MODULE 2022-11-23T01:30:35.8210459Z { 2022-11-23T01:30:35.8210590Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8210794Z 'code': ['___check_obj_id(model, 140534431178016)'], 2022-11-23T01:30:35.8210985Z 'obj_weakref': 2022-11-23T01:30:35.8211201Z 'guarded_class': 2022-11-23T01:30:35.8211266Z } 2022-11-23T01:30:35.8211327Z 2022-11-23T01:30:35.8211394Z - 2022-11-23T01:30:35.8211513Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8211574Z { 2022-11-23T01:30:35.8211695Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8211909Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8212027Z 'obj_weakref': None 2022-11-23T01:30:35.8212246Z 'guarded_class': 2022-11-23T01:30:35.8212307Z } 2022-11-23T01:30:35.8212369Z 2022-11-23T01:30:35.8212436Z - 2022-11-23T01:30:35.8212554Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8212616Z { 2022-11-23T01:30:35.8212736Z 'guard_types': None, 2022-11-23T01:30:35.8212840Z 'code': None, 2022-11-23T01:30:35.8212956Z 'obj_weakref': None 2022-11-23T01:30:35.8213074Z 'guarded_class': None 2022-11-23T01:30:35.8213135Z } 2022-11-23T01:30:35.8213184Z 2022-11-23T01:30:35.8213250Z - 2022-11-23T01:30:35.8213403Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8213465Z { 2022-11-23T01:30:35.8213581Z 'guard_types': None, 2022-11-23T01:30:35.8213683Z 'code': None, 2022-11-23T01:30:35.8213786Z 'obj_weakref': None 2022-11-23T01:30:35.8213903Z 'guarded_class': None 2022-11-23T01:30:35.8213965Z } 2022-11-23T01:30:35.8214028Z 2022-11-23T01:30:35.8214095Z - 2022-11-23T01:30:35.8214261Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8214322Z { 2022-11-23T01:30:35.8214428Z 'guard_types': None, 2022-11-23T01:30:35.8214532Z 'code': None, 2022-11-23T01:30:35.8214645Z 'obj_weakref': None 2022-11-23T01:30:35.8214762Z 'guarded_class': None 2022-11-23T01:30:35.8214823Z } 2022-11-23T01:30:35.8214884Z 2022-11-23T01:30:35.8215141Z [2022-11-23 01:25:34,290] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221 2022-11-23T01:30:35.8215494Z [2022-11-23 01:25:34,294] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:30:35.8215758Z [2022-11-23 01:25:34,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221 2022-11-23T01:30:35.8215996Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8216344Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8216560Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8216800Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8217065Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8217374Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8217708Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8218077Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8218445Z [2022-11-23 01:25:34,299] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8218539Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8218633Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8218721Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8218807Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8218895Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8218901Z 2022-11-23T01:30:35.8218990Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8219086Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8219163Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8219248Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8219337Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8219423Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8219427Z 2022-11-23T01:30:35.8219510Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8219585Z 24 RETURN_VALUE 2022-11-23T01:30:35.8219644Z 2022-11-23T01:30:35.8219649Z 2022-11-23T01:30:35.8219961Z [2022-11-23 01:25:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8220162Z [2022-11-23 01:25:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8220413Z [2022-11-23 01:25:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8220651Z [2022-11-23 01:25:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8220927Z [2022-11-23 01:25:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8221163Z [2022-11-23 01:25:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8221474Z [2022-11-23 01:25:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8221682Z [2022-11-23 01:25:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8221931Z [2022-11-23 01:25:34,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8222177Z [2022-11-23 01:25:34,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8222437Z [2022-11-23 01:25:34,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8222781Z [2022-11-23 01:25:34,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8223163Z [2022-11-23 01:25:34,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8223257Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8223348Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8223435Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8223522Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8223607Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8223681Z 10 RETURN_VALUE 2022-11-23T01:30:35.8223729Z 2022-11-23T01:30:35.8223734Z 2022-11-23T01:30:35.8223949Z [2022-11-23 01:25:34,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8224341Z [2022-11-23 01:25:34,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8224658Z [2022-11-23 01:25:34,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8224999Z [2022-11-23 01:25:34,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8225376Z [2022-11-23 01:25:34,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8225618Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8226004Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 2022-11-23T01:30:35.8226241Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8226547Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8226741Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8226984Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8227365Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8227612Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8227847Z [2022-11-23 01:25:34,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8228101Z [2022-11-23 01:25:34,306] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8228350Z [2022-11-23 01:25:34,314] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8228536Z [2022-11-23 01:25:34,315] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8228667Z __compiled_fn_229 .1855 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8228742Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8228829Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8228949Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8229057Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8229062Z 2022-11-23T01:30:35.8229410Z [2022-11-23 01:25:34,315] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8229505Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8229593Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8229677Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8229755Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8229838Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8229924Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8229997Z 12 RETURN_VALUE 2022-11-23T01:30:35.8230002Z 2022-11-23T01:30:35.8230061Z 2022-11-23T01:30:35.8230380Z [2022-11-23 01:25:34,315] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8230516Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_229) 2022-11-23T01:30:35.8230604Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8230684Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8230759Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8230846Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8230931Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8231004Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8231089Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8231177Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8231238Z 18 RETURN_VALUE 2022-11-23T01:30:35.8231243Z 2022-11-23T01:30:35.8231304Z 2022-11-23T01:30:35.8231483Z [2022-11-23 01:25:34,316] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8231553Z - 2022-11-23T01:30:35.8231671Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8231733Z { 2022-11-23T01:30:35.8231875Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8232046Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8232167Z 'obj_weakref': None 2022-11-23T01:30:35.8232393Z 'guarded_class': 2022-11-23T01:30:35.8232456Z } 2022-11-23T01:30:35.8232518Z 2022-11-23T01:30:35.8232585Z - 2022-11-23T01:30:35.8232706Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8232756Z { 2022-11-23T01:30:35.8232896Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8233000Z 'code': None, 2022-11-23T01:30:35.8233209Z 'obj_weakref': 2022-11-23T01:30:35.8233461Z 'guarded_class': 2022-11-23T01:30:35.8233524Z } 2022-11-23T01:30:35.8233584Z 2022-11-23T01:30:35.8233639Z - 2022-11-23T01:30:35.8233761Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8233824Z { 2022-11-23T01:30:35.8233965Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8234070Z 'code': None, 2022-11-23T01:30:35.8234282Z 'obj_weakref': 2022-11-23T01:30:35.8234530Z 'guarded_class': 2022-11-23T01:30:35.8234580Z } 2022-11-23T01:30:35.8234642Z 2022-11-23T01:30:35.8234708Z - 2022-11-23T01:30:35.8234827Z local 'model' NN_MODULE 2022-11-23T01:30:35.8234888Z { 2022-11-23T01:30:35.8235020Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8235185Z 'code': ['___check_obj_id(model, 140534620818880)'], 2022-11-23T01:30:35.8235375Z 'obj_weakref': 2022-11-23T01:30:35.8235612Z 'guarded_class': 2022-11-23T01:30:35.8235676Z } 2022-11-23T01:30:35.8235737Z 2022-11-23T01:30:35.8235805Z - 2022-11-23T01:30:35.8235927Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8235988Z { 2022-11-23T01:30:35.8236111Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8236324Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8236441Z 'obj_weakref': None 2022-11-23T01:30:35.8236660Z 'guarded_class': 2022-11-23T01:30:35.8236721Z } 2022-11-23T01:30:35.8236782Z 2022-11-23T01:30:35.8236849Z - 2022-11-23T01:30:35.8236969Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8237064Z { 2022-11-23T01:30:35.8237183Z 'guard_types': None, 2022-11-23T01:30:35.8237288Z 'code': None, 2022-11-23T01:30:35.8237406Z 'obj_weakref': None 2022-11-23T01:30:35.8237525Z 'guarded_class': None 2022-11-23T01:30:35.8237586Z } 2022-11-23T01:30:35.8237636Z 2022-11-23T01:30:35.8237703Z - 2022-11-23T01:30:35.8237860Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8237925Z { 2022-11-23T01:30:35.8238041Z 'guard_types': None, 2022-11-23T01:30:35.8238145Z 'code': None, 2022-11-23T01:30:35.8238258Z 'obj_weakref': None 2022-11-23T01:30:35.8238363Z 'guarded_class': None 2022-11-23T01:30:35.8238423Z } 2022-11-23T01:30:35.8238484Z 2022-11-23T01:30:35.8238551Z - 2022-11-23T01:30:35.8238717Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8238784Z { 2022-11-23T01:30:35.8238887Z 'guard_types': None, 2022-11-23T01:30:35.8238991Z 'code': None, 2022-11-23T01:30:35.8239110Z 'obj_weakref': None 2022-11-23T01:30:35.8239228Z 'guarded_class': None 2022-11-23T01:30:35.8239288Z } 2022-11-23T01:30:35.8239350Z 2022-11-23T01:30:35.8239607Z [2022-11-23 01:25:34,327] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222 2022-11-23T01:30:35.8239961Z [2022-11-23 01:25:34,331] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:30:35.8240333Z [2022-11-23 01:25:34,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222 2022-11-23T01:30:35.8240570Z [2022-11-23 01:25:34,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8240885Z [2022-11-23 01:25:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8241107Z [2022-11-23 01:25:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8241349Z [2022-11-23 01:25:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8241615Z [2022-11-23 01:25:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8241928Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8242263Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8242574Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8242995Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8243078Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8243173Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8243261Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8243349Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8243438Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8243443Z 2022-11-23T01:30:35.8243532Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8243625Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8243699Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8243783Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8243914Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8244001Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8244006Z 2022-11-23T01:30:35.8244093Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8244167Z 24 RETURN_VALUE 2022-11-23T01:30:35.8244227Z 2022-11-23T01:30:35.8244232Z 2022-11-23T01:30:35.8244544Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8244860Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8245117Z [2022-11-23 01:25:34,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8245357Z [2022-11-23 01:25:34,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8245634Z [2022-11-23 01:25:34,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8245875Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8246185Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8246395Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8246645Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8246893Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8247167Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8247467Z [2022-11-23 01:25:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8247854Z [2022-11-23 01:25:34,347] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8247951Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8248044Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8248134Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8248220Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8248305Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8248380Z 10 RETURN_VALUE 2022-11-23T01:30:35.8248428Z 2022-11-23T01:30:35.8248434Z 2022-11-23T01:30:35.8248650Z [2022-11-23 01:25:34,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8249015Z [2022-11-23 01:25:34,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8249380Z [2022-11-23 01:25:34,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:30:35.8249728Z [2022-11-23 01:25:34,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8250107Z [2022-11-23 01:25:34,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8250351Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8250732Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8251012Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8251323Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8251530Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8251762Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8252147Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8252394Z [2022-11-23 01:25:34,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8252629Z [2022-11-23 01:25:34,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8252885Z [2022-11-23 01:25:34,349] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8253130Z [2022-11-23 01:25:34,363] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8253318Z [2022-11-23 01:25:34,363] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8253450Z __compiled_fn_230 .1866 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8253538Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8253611Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8253731Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8253840Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8253845Z 2022-11-23T01:30:35.8254169Z [2022-11-23 01:25:34,364] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8254266Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8254354Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8254438Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8254529Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8254600Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8254686Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8254760Z 12 RETURN_VALUE 2022-11-23T01:30:35.8254766Z 2022-11-23T01:30:35.8254825Z 2022-11-23T01:30:35.8255148Z [2022-11-23 01:25:34,364] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8255254Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_230) 2022-11-23T01:30:35.8255343Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8255423Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8255498Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8255615Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8255705Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8255781Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8255865Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8255952Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8256012Z 18 RETURN_VALUE 2022-11-23T01:30:35.8256028Z 2022-11-23T01:30:35.8256077Z 2022-11-23T01:30:35.8256258Z [2022-11-23 01:25:34,365] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8256327Z - 2022-11-23T01:30:35.8256443Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8256506Z { 2022-11-23T01:30:35.8256643Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8256815Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8256959Z 'obj_weakref': None 2022-11-23T01:30:35.8257185Z 'guarded_class': 2022-11-23T01:30:35.8257248Z } 2022-11-23T01:30:35.8257310Z 2022-11-23T01:30:35.8257377Z - 2022-11-23T01:30:35.8257498Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8257548Z { 2022-11-23T01:30:35.8257688Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8257792Z 'code': None, 2022-11-23T01:30:35.8258002Z 'obj_weakref': 2022-11-23T01:30:35.8258251Z 'guarded_class': 2022-11-23T01:30:35.8258312Z } 2022-11-23T01:30:35.8258373Z 2022-11-23T01:30:35.8258429Z - 2022-11-23T01:30:35.8258549Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8258612Z { 2022-11-23T01:30:35.8258751Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8258859Z 'code': None, 2022-11-23T01:30:35.8259067Z 'obj_weakref': 2022-11-23T01:30:35.8259315Z 'guarded_class': 2022-11-23T01:30:35.8259379Z } 2022-11-23T01:30:35.8259427Z 2022-11-23T01:30:35.8259494Z - 2022-11-23T01:30:35.8259611Z local 'model' NN_MODULE 2022-11-23T01:30:35.8259672Z { 2022-11-23T01:30:35.8259804Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8259968Z 'code': ['___check_obj_id(model, 140534621940192)'], 2022-11-23T01:30:35.8260169Z 'obj_weakref': 2022-11-23T01:30:35.8260370Z 'guarded_class': 2022-11-23T01:30:35.8260435Z } 2022-11-23T01:30:35.8260498Z 2022-11-23T01:30:35.8260566Z - 2022-11-23T01:30:35.8260691Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8260753Z { 2022-11-23T01:30:35.8260875Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8261089Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8261206Z 'obj_weakref': None 2022-11-23T01:30:35.8261428Z 'guarded_class': 2022-11-23T01:30:35.8261489Z } 2022-11-23T01:30:35.8261550Z 2022-11-23T01:30:35.8261616Z - 2022-11-23T01:30:35.8261736Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8261798Z { 2022-11-23T01:30:35.8261915Z 'guard_types': None, 2022-11-23T01:30:35.8262026Z 'code': None, 2022-11-23T01:30:35.8262140Z 'obj_weakref': None 2022-11-23T01:30:35.8262258Z 'guarded_class': None 2022-11-23T01:30:35.8262352Z } 2022-11-23T01:30:35.8262404Z 2022-11-23T01:30:35.8262474Z - 2022-11-23T01:30:35.8262627Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8262690Z { 2022-11-23T01:30:35.8262807Z 'guard_types': None, 2022-11-23T01:30:35.8262910Z 'code': None, 2022-11-23T01:30:35.8263024Z 'obj_weakref': None 2022-11-23T01:30:35.8263131Z 'guarded_class': None 2022-11-23T01:30:35.8263193Z } 2022-11-23T01:30:35.8263255Z 2022-11-23T01:30:35.8263322Z - 2022-11-23T01:30:35.8263487Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8263549Z { 2022-11-23T01:30:35.8263665Z 'guard_types': None, 2022-11-23T01:30:35.8263757Z 'code': None, 2022-11-23T01:30:35.8263902Z 'obj_weakref': None 2022-11-23T01:30:35.8264020Z 'guarded_class': None 2022-11-23T01:30:35.8264081Z } 2022-11-23T01:30:35.8264145Z 2022-11-23T01:30:35.8264402Z [2022-11-23 01:25:34,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223 2022-11-23T01:30:35.8264767Z [2022-11-23 01:25:34,379] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:30:35.8265018Z [2022-11-23 01:25:34,379] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223 2022-11-23T01:30:35.8265253Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8265566Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8265784Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8266026Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8266292Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8266603Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8266940Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8267246Z [2022-11-23 01:25:34,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8267625Z [2022-11-23 01:25:34,384] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8267711Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8267806Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8267893Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8267981Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8268069Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8268074Z 2022-11-23T01:30:35.8268163Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8268257Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8268343Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8268417Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8268506Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8268594Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8268601Z 2022-11-23T01:30:35.8268688Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8268762Z 24 RETURN_VALUE 2022-11-23T01:30:35.8268859Z 2022-11-23T01:30:35.8268865Z 2022-11-23T01:30:35.8269174Z [2022-11-23 01:25:34,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8269390Z [2022-11-23 01:25:34,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8269638Z [2022-11-23 01:25:34,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8269874Z [2022-11-23 01:25:34,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8270148Z [2022-11-23 01:25:34,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8270371Z [2022-11-23 01:25:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8270714Z [2022-11-23 01:25:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8270925Z [2022-11-23 01:25:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8271175Z [2022-11-23 01:25:34,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8271424Z [2022-11-23 01:25:34,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8271699Z [2022-11-23 01:25:34,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8272013Z [2022-11-23 01:25:34,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8272398Z [2022-11-23 01:25:34,388] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8272495Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8272587Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8272664Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8272751Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8272839Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8272914Z 10 RETURN_VALUE 2022-11-23T01:30:35.8272975Z 2022-11-23T01:30:35.8272981Z 2022-11-23T01:30:35.8273197Z [2022-11-23 01:25:34,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8273562Z [2022-11-23 01:25:34,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8273881Z [2022-11-23 01:25:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:30:35.8274211Z [2022-11-23 01:25:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8274592Z [2022-11-23 01:25:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8274836Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8275222Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8275462Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8275798Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8276010Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8276254Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8276638Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8276883Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8277116Z [2022-11-23 01:25:34,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8277384Z [2022-11-23 01:25:34,391] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8277632Z [2022-11-23 01:25:34,399] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8277820Z [2022-11-23 01:25:34,400] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8277951Z __compiled_fn_231 .1877 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8278038Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8278123Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8278243Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8278351Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8278356Z 2022-11-23T01:30:35.8278667Z [2022-11-23 01:25:34,400] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8278764Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8278853Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8278939Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8279030Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8279112Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8279199Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8279262Z 12 RETURN_VALUE 2022-11-23T01:30:35.8279279Z 2022-11-23T01:30:35.8279326Z 2022-11-23T01:30:35.8279646Z [2022-11-23 01:25:34,400] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8279758Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_231) 2022-11-23T01:30:35.8279845Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8279935Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8280085Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8280174Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8280248Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8280324Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8280408Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8280496Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8280571Z 18 RETURN_VALUE 2022-11-23T01:30:35.8280576Z 2022-11-23T01:30:35.8280635Z 2022-11-23T01:30:35.8280821Z [2022-11-23 01:25:34,401] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8280878Z - 2022-11-23T01:30:35.8280996Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8281059Z { 2022-11-23T01:30:35.8281197Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8281381Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8281501Z 'obj_weakref': None 2022-11-23T01:30:35.8281728Z 'guarded_class': 2022-11-23T01:30:35.8281779Z } 2022-11-23T01:30:35.8281842Z 2022-11-23T01:30:35.8281947Z - 2022-11-23T01:30:35.8282071Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8282133Z { 2022-11-23T01:30:35.8282275Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8282379Z 'code': None, 2022-11-23T01:30:35.8282578Z 'obj_weakref': 2022-11-23T01:30:35.8282831Z 'guarded_class': 2022-11-23T01:30:35.8282893Z } 2022-11-23T01:30:35.8282955Z 2022-11-23T01:30:35.8283025Z - 2022-11-23T01:30:35.8283145Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8283206Z { 2022-11-23T01:30:35.8283334Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8283471Z 'code': None, 2022-11-23T01:30:35.8283683Z 'obj_weakref': 2022-11-23T01:30:35.8283936Z 'guarded_class': 2022-11-23T01:30:35.8283999Z } 2022-11-23T01:30:35.8284062Z 2022-11-23T01:30:35.8284129Z - 2022-11-23T01:30:35.8284235Z local 'model' NN_MODULE 2022-11-23T01:30:35.8284298Z { 2022-11-23T01:30:35.8284431Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8284603Z 'code': ['___check_obj_id(model, 140534620830592)'], 2022-11-23T01:30:35.8284905Z 'obj_weakref': 2022-11-23T01:30:35.8285124Z 'guarded_class': 2022-11-23T01:30:35.8285187Z } 2022-11-23T01:30:35.8285240Z 2022-11-23T01:30:35.8285308Z - 2022-11-23T01:30:35.8285430Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8285492Z { 2022-11-23T01:30:35.8285628Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8285844Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8285963Z 'obj_weakref': None 2022-11-23T01:30:35.8286184Z 'guarded_class': 2022-11-23T01:30:35.8286234Z } 2022-11-23T01:30:35.8286297Z 2022-11-23T01:30:35.8286367Z - 2022-11-23T01:30:35.8286499Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8286562Z { 2022-11-23T01:30:35.8286680Z 'guard_types': None, 2022-11-23T01:30:35.8286773Z 'code': None, 2022-11-23T01:30:35.8286891Z 'obj_weakref': None 2022-11-23T01:30:35.8287015Z 'guarded_class': None 2022-11-23T01:30:35.8287079Z } 2022-11-23T01:30:35.8287142Z 2022-11-23T01:30:35.8287209Z - 2022-11-23T01:30:35.8287366Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8287416Z { 2022-11-23T01:30:35.8287535Z 'guard_types': None, 2022-11-23T01:30:35.8287640Z 'code': None, 2022-11-23T01:30:35.8287756Z 'obj_weakref': None 2022-11-23T01:30:35.8287874Z 'guarded_class': None 2022-11-23T01:30:35.8287937Z } 2022-11-23T01:30:35.8287999Z 2022-11-23T01:30:35.8288054Z - 2022-11-23T01:30:35.8288223Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8288288Z { 2022-11-23T01:30:35.8288408Z 'guard_types': None, 2022-11-23T01:30:35.8288512Z 'code': None, 2022-11-23T01:30:35.8288629Z 'obj_weakref': None 2022-11-23T01:30:35.8288734Z 'guarded_class': None 2022-11-23T01:30:35.8288800Z } 2022-11-23T01:30:35.8288861Z 2022-11-23T01:30:35.8289170Z [2022-11-23 01:25:34,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224 2022-11-23T01:30:35.8289544Z [2022-11-23 01:25:34,414] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:30:35.8289807Z [2022-11-23 01:25:34,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224 2022-11-23T01:30:35.8290045Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8290359Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8290574Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8290855Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8291124Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8291437Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8291779Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8292091Z [2022-11-23 01:25:34,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8292477Z [2022-11-23 01:25:34,419] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8292574Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8292668Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8292760Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8292836Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8292927Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8292932Z 2022-11-23T01:30:35.8293021Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8293116Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8293205Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8293292Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8293379Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8293466Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8293470Z 2022-11-23T01:30:35.8293542Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8293621Z 24 RETURN_VALUE 2022-11-23T01:30:35.8293681Z 2022-11-23T01:30:35.8293685Z 2022-11-23T01:30:35.8294003Z [2022-11-23 01:25:34,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8294217Z [2022-11-23 01:25:34,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8294466Z [2022-11-23 01:25:34,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8294704Z [2022-11-23 01:25:34,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8294980Z [2022-11-23 01:25:34,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8295216Z [2022-11-23 01:25:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8295515Z [2022-11-23 01:25:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8295761Z [2022-11-23 01:25:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8296014Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8296264Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8296538Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8296853Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8297234Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8297358Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8297452Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8297528Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8297618Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8297704Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8297777Z 10 RETURN_VALUE 2022-11-23T01:30:35.8297839Z 2022-11-23T01:30:35.8297844Z 2022-11-23T01:30:35.8298062Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8298426Z [2022-11-23 01:25:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8298745Z [2022-11-23 01:25:34,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:30:35.8299091Z [2022-11-23 01:25:34,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8299461Z [2022-11-23 01:25:34,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8299705Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8300087Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8300327Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8300642Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8300853Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8301097Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8301479Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8301724Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8301957Z [2022-11-23 01:25:34,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8302199Z [2022-11-23 01:25:34,430] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8302450Z [2022-11-23 01:25:34,442] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8302663Z [2022-11-23 01:25:34,442] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8302800Z __compiled_fn_232 .1888 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8302887Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8302973Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8303093Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8303200Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8303206Z 2022-11-23T01:30:35.8303518Z [2022-11-23 01:25:34,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8303611Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8303699Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8303815Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8303906Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8303991Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8304078Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8304151Z 12 RETURN_VALUE 2022-11-23T01:30:35.8304156Z 2022-11-23T01:30:35.8304204Z 2022-11-23T01:30:35.8304524Z [2022-11-23 01:25:34,443] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8304630Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_232) 2022-11-23T01:30:35.8304719Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8304807Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8304882Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8304968Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8305045Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8305118Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8305204Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8305294Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8305367Z 18 RETURN_VALUE 2022-11-23T01:30:35.8305373Z 2022-11-23T01:30:35.8305432Z 2022-11-23T01:30:35.8305612Z [2022-11-23 01:25:34,444] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8305681Z - 2022-11-23T01:30:35.8305787Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8305849Z { 2022-11-23T01:30:35.8305988Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8306172Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8306292Z 'obj_weakref': None 2022-11-23T01:30:35.8306596Z 'guarded_class': 2022-11-23T01:30:35.8306662Z } 2022-11-23T01:30:35.8306715Z 2022-11-23T01:30:35.8306785Z - 2022-11-23T01:30:35.8306908Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8306970Z { 2022-11-23T01:30:35.8307114Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8307220Z 'code': None, 2022-11-23T01:30:35.8307429Z 'obj_weakref': 2022-11-23T01:30:35.8307669Z 'guarded_class': 2022-11-23T01:30:35.8307734Z } 2022-11-23T01:30:35.8307795Z 2022-11-23T01:30:35.8307866Z - 2022-11-23T01:30:35.8307986Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8308047Z { 2022-11-23T01:30:35.8308189Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8308282Z 'code': None, 2022-11-23T01:30:35.8308490Z 'obj_weakref': 2022-11-23T01:30:35.8308743Z 'guarded_class': 2022-11-23T01:30:35.8308853Z } 2022-11-23T01:30:35.8308917Z 2022-11-23T01:30:35.8308985Z - 2022-11-23T01:30:35.8309103Z local 'model' NN_MODULE 2022-11-23T01:30:35.8309153Z { 2022-11-23T01:30:35.8309285Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8309453Z 'code': ['___check_obj_id(model, 140534431176480)'], 2022-11-23T01:30:35.8309654Z 'obj_weakref': 2022-11-23T01:30:35.8309867Z 'guarded_class': 2022-11-23T01:30:35.8309928Z } 2022-11-23T01:30:35.8309989Z 2022-11-23T01:30:35.8310044Z - 2022-11-23T01:30:35.8310165Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8310261Z { 2022-11-23T01:30:35.8310399Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8310616Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8310733Z 'obj_weakref': None 2022-11-23T01:30:35.8310953Z 'guarded_class': 2022-11-23T01:30:35.8311004Z } 2022-11-23T01:30:35.8311067Z 2022-11-23T01:30:35.8311136Z - 2022-11-23T01:30:35.8311267Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8311329Z { 2022-11-23T01:30:35.8311446Z 'guard_types': None, 2022-11-23T01:30:35.8311551Z 'code': None, 2022-11-23T01:30:35.8311654Z 'obj_weakref': None 2022-11-23T01:30:35.8311772Z 'guarded_class': None 2022-11-23T01:30:35.8311833Z } 2022-11-23T01:30:35.8311895Z 2022-11-23T01:30:35.8311964Z - 2022-11-23T01:30:35.8312117Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8312167Z { 2022-11-23T01:30:35.8312283Z 'guard_types': None, 2022-11-23T01:30:35.8312388Z 'code': None, 2022-11-23T01:30:35.8312504Z 'obj_weakref': None 2022-11-23T01:30:35.8312622Z 'guarded_class': None 2022-11-23T01:30:35.8312683Z } 2022-11-23T01:30:35.8312744Z 2022-11-23T01:30:35.8312799Z - 2022-11-23T01:30:35.8312967Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8313028Z { 2022-11-23T01:30:35.8313145Z 'guard_types': None, 2022-11-23T01:30:35.8313249Z 'code': None, 2022-11-23T01:30:35.8313362Z 'obj_weakref': None 2022-11-23T01:30:35.8313480Z 'guarded_class': None 2022-11-23T01:30:35.8313529Z } 2022-11-23T01:30:35.8313591Z 2022-11-23T01:30:35.8313851Z [2022-11-23 01:25:34,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225 2022-11-23T01:30:35.8314220Z [2022-11-23 01:25:34,457] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:30:35.8314481Z [2022-11-23 01:25:34,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225 2022-11-23T01:30:35.8314717Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8315029Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8315245Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8315475Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8315742Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8316082Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8316419Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8316729Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8317109Z [2022-11-23 01:25:34,462] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8317203Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8317296Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8317414Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8317501Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8317581Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8317586Z 2022-11-23T01:30:35.8317676Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8317770Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8317857Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8317943Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8318029Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8318114Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8318119Z 2022-11-23T01:30:35.8318190Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8318264Z 24 RETURN_VALUE 2022-11-23T01:30:35.8318324Z 2022-11-23T01:30:35.8318328Z 2022-11-23T01:30:35.8318647Z [2022-11-23 01:25:34,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8318861Z [2022-11-23 01:25:34,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8319109Z [2022-11-23 01:25:34,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8319347Z [2022-11-23 01:25:34,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8319623Z [2022-11-23 01:25:34,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8319857Z [2022-11-23 01:25:34,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8320243Z [2022-11-23 01:25:34,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8320461Z [2022-11-23 01:25:34,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8320713Z [2022-11-23 01:25:34,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8320963Z [2022-11-23 01:25:34,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8321240Z [2022-11-23 01:25:34,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8321552Z [2022-11-23 01:25:34,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8321930Z [2022-11-23 01:25:34,466] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8322026Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8322121Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:30:35.8322211Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8322339Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8322428Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8322503Z 10 RETURN_VALUE 2022-11-23T01:30:35.8322564Z 2022-11-23T01:30:35.8322569Z 2022-11-23T01:30:35.8322787Z [2022-11-23 01:25:34,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8323149Z [2022-11-23 01:25:34,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:35.8323467Z [2022-11-23 01:25:34,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:30:35.8323808Z [2022-11-23 01:25:34,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8324206Z [2022-11-23 01:25:34,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8324451Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8324925Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a2119a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 2022-11-23T01:30:35.8325165Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8325478Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8325690Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8325937Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8326322Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8326566Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8326798Z [2022-11-23 01:25:34,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8327051Z [2022-11-23 01:25:34,469] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8327285Z [2022-11-23 01:25:34,477] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8327474Z [2022-11-23 01:25:34,477] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8327610Z __compiled_fn_233 .1899 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8327702Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8327787Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8327908Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8328015Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8328020Z 2022-11-23T01:30:35.8328343Z [2022-11-23 01:25:34,478] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8328424Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8328513Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8328599Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8328690Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8328777Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8328864Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8328985Z 12 RETURN_VALUE 2022-11-23T01:30:35.8328990Z 2022-11-23T01:30:35.8329039Z 2022-11-23T01:30:35.8329361Z [2022-11-23 01:25:34,478] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8329468Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_233) 2022-11-23T01:30:35.8329557Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8329645Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8329721Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8329808Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8329896Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8329958Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8330044Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8330170Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8330244Z 18 RETURN_VALUE 2022-11-23T01:30:35.8330249Z 2022-11-23T01:30:35.8330313Z 2022-11-23T01:30:35.8330497Z [2022-11-23 01:25:34,478] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8330567Z - 2022-11-23T01:30:35.8330671Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8330736Z { 2022-11-23T01:30:35.8330877Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8331059Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8331178Z 'obj_weakref': None 2022-11-23T01:30:35.8331400Z 'guarded_class': 2022-11-23T01:30:35.8331464Z } 2022-11-23T01:30:35.8331514Z 2022-11-23T01:30:35.8331585Z - 2022-11-23T01:30:35.8331708Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8331778Z { 2022-11-23T01:30:35.8331920Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8332025Z 'code': None, 2022-11-23T01:30:35.8332238Z 'obj_weakref': 2022-11-23T01:30:35.8332475Z 'guarded_class': 2022-11-23T01:30:35.8332592Z } 2022-11-23T01:30:35.8332655Z 2022-11-23T01:30:35.8332723Z - 2022-11-23T01:30:35.8332844Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8332907Z { 2022-11-23T01:30:35.8333048Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8333140Z 'code': None, 2022-11-23T01:30:35.8333348Z 'obj_weakref': 2022-11-23T01:30:35.8333599Z 'guarded_class': 2022-11-23T01:30:35.8333664Z } 2022-11-23T01:30:35.8333730Z 2022-11-23T01:30:35.8333799Z - 2022-11-23T01:30:35.8333921Z local 'model' NN_MODULE 2022-11-23T01:30:35.8333971Z { 2022-11-23T01:30:35.8334104Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8334270Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.8334472Z 'obj_weakref': 2022-11-23T01:30:35.8334688Z 'guarded_class': 2022-11-23T01:30:35.8334751Z } 2022-11-23T01:30:35.8334815Z 2022-11-23T01:30:35.8334870Z - 2022-11-23T01:30:35.8334993Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8335056Z { 2022-11-23T01:30:35.8335193Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8335411Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8335528Z 'obj_weakref': None 2022-11-23T01:30:35.8335778Z 'guarded_class': 2022-11-23T01:30:35.8335829Z } 2022-11-23T01:30:35.8335894Z 2022-11-23T01:30:35.8335961Z - 2022-11-23T01:30:35.8336097Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8336163Z { 2022-11-23T01:30:35.8336281Z 'guard_types': None, 2022-11-23T01:30:35.8336386Z 'code': None, 2022-11-23T01:30:35.8336489Z 'obj_weakref': None 2022-11-23T01:30:35.8336612Z 'guarded_class': None 2022-11-23T01:30:35.8336674Z } 2022-11-23T01:30:35.8336736Z 2022-11-23T01:30:35.8336804Z - 2022-11-23T01:30:35.8336957Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8337020Z { 2022-11-23T01:30:35.8337177Z 'guard_types': None, 2022-11-23T01:30:35.8337281Z 'code': None, 2022-11-23T01:30:35.8337396Z 'obj_weakref': None 2022-11-23T01:30:35.8337518Z 'guarded_class': None 2022-11-23T01:30:35.8337581Z } 2022-11-23T01:30:35.8337643Z 2022-11-23T01:30:35.8337697Z - 2022-11-23T01:30:35.8337865Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8337928Z { 2022-11-23T01:30:35.8338044Z 'guard_types': None, 2022-11-23T01:30:35.8338149Z 'code': None, 2022-11-23T01:30:35.8338265Z 'obj_weakref': None 2022-11-23T01:30:35.8338383Z 'guarded_class': None 2022-11-23T01:30:35.8338433Z } 2022-11-23T01:30:35.8338494Z 2022-11-23T01:30:35.8338754Z [2022-11-23 01:25:34,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226 2022-11-23T01:30:35.8338758Z 2022-11-23T01:30:35.8338857Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8338926Z import torch 2022-11-23T01:30:35.8338994Z import random 2022-11-23T01:30:35.8339116Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8339224Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8339245Z 2022-11-23T01:30:35.8339309Z aten = torch.ops.aten 2022-11-23T01:30:35.8339443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8339536Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8339541Z 2022-11-23T01:30:35.8339545Z 2022-11-23T01:30:35.8339632Z async_compile.wait(globals()) 2022-11-23T01:30:35.8339704Z del async_compile 2022-11-23T01:30:35.8339708Z 2022-11-23T01:30:35.8339778Z def call(args): 2022-11-23T01:30:35.8339867Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8339926Z args.clear() 2022-11-23T01:30:35.8340151Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8340220Z del arg0_1 2022-11-23T01:30:35.8340286Z del arg1_1 2022-11-23T01:30:35.8340350Z del arg2_1 2022-11-23T01:30:35.8340414Z del arg3_1 2022-11-23T01:30:35.8340487Z return (buf0, ) 2022-11-23T01:30:35.8340491Z 2022-11-23T01:30:35.8340495Z 2022-11-23T01:30:35.8340569Z if __name__ == "__main__": 2022-11-23T01:30:35.8340670Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8340790Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8340992Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8341188Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8341389Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8341592Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8341717Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8341725Z 2022-11-23T01:30:35.8341729Z 2022-11-23T01:30:35.8341821Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8341878Z import torch 2022-11-23T01:30:35.8341980Z import random 2022-11-23T01:30:35.8342096Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8342215Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8342219Z 2022-11-23T01:30:35.8342295Z aten = torch.ops.aten 2022-11-23T01:30:35.8342426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8342517Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8342521Z 2022-11-23T01:30:35.8342525Z 2022-11-23T01:30:35.8342612Z async_compile.wait(globals()) 2022-11-23T01:30:35.8342672Z del async_compile 2022-11-23T01:30:35.8342676Z 2022-11-23T01:30:35.8342744Z def call(args): 2022-11-23T01:30:35.8342823Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8342892Z args.clear() 2022-11-23T01:30:35.8343117Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8343211Z del arg0_1 2022-11-23T01:30:35.8343275Z del arg1_1 2022-11-23T01:30:35.8343327Z del arg2_1 2022-11-23T01:30:35.8343398Z return (buf0, ) 2022-11-23T01:30:35.8343403Z 2022-11-23T01:30:35.8343407Z 2022-11-23T01:30:35.8343481Z if __name__ == "__main__": 2022-11-23T01:30:35.8343592Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8343712Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8343910Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8344114Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8344316Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8344426Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8344431Z 2022-11-23T01:30:35.8344449Z 2022-11-23T01:30:35.8344530Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8344597Z import torch 2022-11-23T01:30:35.8344666Z import random 2022-11-23T01:30:35.8344781Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8344898Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8344902Z 2022-11-23T01:30:35.8344979Z aten = torch.ops.aten 2022-11-23T01:30:35.8345109Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8345187Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8345192Z 2022-11-23T01:30:35.8345196Z 2022-11-23T01:30:35.8345282Z async_compile.wait(globals()) 2022-11-23T01:30:35.8345352Z del async_compile 2022-11-23T01:30:35.8345357Z 2022-11-23T01:30:35.8345426Z def call(args): 2022-11-23T01:30:35.8345513Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8345582Z args.clear() 2022-11-23T01:30:35.8345809Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8345867Z del arg0_1 2022-11-23T01:30:35.8345933Z del arg1_1 2022-11-23T01:30:35.8345997Z del arg2_1 2022-11-23T01:30:35.8346061Z del arg3_1 2022-11-23T01:30:35.8346134Z return (buf0, ) 2022-11-23T01:30:35.8346139Z 2022-11-23T01:30:35.8346142Z 2022-11-23T01:30:35.8346218Z if __name__ == "__main__": 2022-11-23T01:30:35.8346330Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8346450Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8346637Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8346830Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8347025Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8347277Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8347403Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8347410Z 2022-11-23T01:30:35.8347415Z 2022-11-23T01:30:35.8347506Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8347574Z import torch 2022-11-23T01:30:35.8347671Z import random 2022-11-23T01:30:35.8347776Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8347894Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8347899Z 2022-11-23T01:30:35.8347975Z aten = torch.ops.aten 2022-11-23T01:30:35.8348107Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8348197Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8348202Z 2022-11-23T01:30:35.8348206Z 2022-11-23T01:30:35.8348291Z async_compile.wait(globals()) 2022-11-23T01:30:35.8348363Z del async_compile 2022-11-23T01:30:35.8348367Z 2022-11-23T01:30:35.8348436Z def call(args): 2022-11-23T01:30:35.8348502Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8348572Z args.clear() 2022-11-23T01:30:35.8348795Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8348889Z del arg0_1 2022-11-23T01:30:35.8348954Z del arg1_1 2022-11-23T01:30:35.8349018Z del arg2_1 2022-11-23T01:30:35.8349090Z return (buf0, ) 2022-11-23T01:30:35.8349095Z 2022-11-23T01:30:35.8349099Z 2022-11-23T01:30:35.8349161Z if __name__ == "__main__": 2022-11-23T01:30:35.8349271Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8349392Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8349592Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8349787Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8349980Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8350099Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8350104Z 2022-11-23T01:30:35.8350108Z 2022-11-23T01:30:35.8350202Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8350259Z import torch 2022-11-23T01:30:35.8350329Z import random 2022-11-23T01:30:35.8350443Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8350560Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8350564Z 2022-11-23T01:30:35.8350640Z aten = torch.ops.aten 2022-11-23T01:30:35.8350769Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8350859Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8350864Z 2022-11-23T01:30:35.8350868Z 2022-11-23T01:30:35.8350954Z async_compile.wait(globals()) 2022-11-23T01:30:35.8351012Z del async_compile 2022-11-23T01:30:35.8351016Z 2022-11-23T01:30:35.8351086Z def call(args): 2022-11-23T01:30:35.8351173Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8351242Z args.clear() 2022-11-23T01:30:35.8351465Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8351535Z del arg0_1 2022-11-23T01:30:35.8351600Z del arg1_1 2022-11-23T01:30:35.8351653Z del arg2_1 2022-11-23T01:30:35.8351718Z del arg3_1 2022-11-23T01:30:35.8351790Z return (buf0, ) 2022-11-23T01:30:35.8351794Z 2022-11-23T01:30:35.8351798Z 2022-11-23T01:30:35.8351873Z if __name__ == "__main__": 2022-11-23T01:30:35.8351986Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8352104Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8352302Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8352513Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8352702Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8352905Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8353030Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8353037Z 2022-11-23T01:30:35.8353042Z 2022-11-23T01:30:35.8353135Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8353202Z import torch 2022-11-23T01:30:35.8353298Z import random 2022-11-23T01:30:35.8353413Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8353532Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8353536Z 2022-11-23T01:30:35.8353600Z aten = torch.ops.aten 2022-11-23T01:30:35.8353732Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8353821Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8353826Z 2022-11-23T01:30:35.8353830Z 2022-11-23T01:30:35.8353916Z async_compile.wait(globals()) 2022-11-23T01:30:35.8353986Z del async_compile 2022-11-23T01:30:35.8353991Z 2022-11-23T01:30:35.8354060Z def call(args): 2022-11-23T01:30:35.8354137Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8354206Z args.clear() 2022-11-23T01:30:35.8354415Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8354510Z del arg0_1 2022-11-23T01:30:35.8354576Z del arg1_1 2022-11-23T01:30:35.8354641Z del arg2_1 2022-11-23T01:30:35.8354713Z return (buf0, ) 2022-11-23T01:30:35.8354717Z 2022-11-23T01:30:35.8354721Z 2022-11-23T01:30:35.8354796Z if __name__ == "__main__": 2022-11-23T01:30:35.8354906Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8355014Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8355214Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8355416Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8355620Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8355741Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8355746Z 2022-11-23T01:30:35.8355750Z 2022-11-23T01:30:35.8355846Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8355913Z import torch 2022-11-23T01:30:35.8355982Z import random 2022-11-23T01:30:35.8356085Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8356204Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8356208Z 2022-11-23T01:30:35.8356283Z aten = torch.ops.aten 2022-11-23T01:30:35.8356416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8356505Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8356510Z 2022-11-23T01:30:35.8356514Z 2022-11-23T01:30:35.8356600Z async_compile.wait(globals()) 2022-11-23T01:30:35.8356670Z del async_compile 2022-11-23T01:30:35.8356675Z 2022-11-23T01:30:35.8356743Z def call(args): 2022-11-23T01:30:35.8356819Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8356890Z args.clear() 2022-11-23T01:30:35.8357117Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8357187Z del arg0_1 2022-11-23T01:30:35.8357252Z del arg1_1 2022-11-23T01:30:35.8357316Z del arg2_1 2022-11-23T01:30:35.8357379Z del arg3_1 2022-11-23T01:30:35.8357439Z return (buf0, ) 2022-11-23T01:30:35.8357444Z 2022-11-23T01:30:35.8357448Z 2022-11-23T01:30:35.8357522Z if __name__ == "__main__": 2022-11-23T01:30:35.8357633Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8357753Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8357950Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8358140Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8358332Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8358524Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8358637Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8358644Z 2022-11-23T01:30:35.8359042Z [2022-11-23 01:25:34,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:30:35.8359310Z [2022-11-23 01:25:34,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226 2022-11-23T01:30:35.8359544Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8359858Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8360153Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8360400Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8360668Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8361021Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8361355Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8361652Z [2022-11-23 01:25:34,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8362032Z [2022-11-23 01:25:34,497] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8362126Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8362221Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8362314Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8362403Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8362493Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8362502Z 2022-11-23T01:30:35.8362593Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8362688Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8362762Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8362847Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8362933Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8363020Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8363024Z 2022-11-23T01:30:35.8363110Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8363185Z 24 RETURN_VALUE 2022-11-23T01:30:35.8363246Z 2022-11-23T01:30:35.8363251Z 2022-11-23T01:30:35.8363554Z [2022-11-23 01:25:34,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8363770Z [2022-11-23 01:25:34,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8364019Z [2022-11-23 01:25:34,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8364260Z [2022-11-23 01:25:34,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8364533Z [2022-11-23 01:25:34,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8364902Z [2022-11-23 01:25:34,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8365215Z [2022-11-23 01:25:34,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8365426Z [2022-11-23 01:25:34,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8365677Z [2022-11-23 01:25:34,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8365976Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8366244Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8366557Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8366941Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8367032Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8367126Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:30:35.8367249Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8367340Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8367418Z 8 RETURN_VALUE 2022-11-23T01:30:35.8367467Z 2022-11-23T01:30:35.8367472Z 2022-11-23T01:30:35.8367679Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8367918Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:30:35.8368190Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:30:35.8368493Z [2022-11-23 01:25:34,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:30:35.8368738Z [2022-11-23 01:25:34,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8369121Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8369361Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8369672Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8369879Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8370110Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8370495Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8370746Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8370982Z [2022-11-23 01:25:34,508] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8371233Z [2022-11-23 01:25:34,509] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8371481Z [2022-11-23 01:25:34,523] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8371668Z [2022-11-23 01:25:34,523] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8371801Z __compiled_fn_234 .1910 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8371889Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8371963Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8372084Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8372194Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8372200Z 2022-11-23T01:30:35.8372555Z [2022-11-23 01:25:34,524] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8372650Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8372740Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8372824Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8372915Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8372986Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8373073Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8373149Z 12 RETURN_VALUE 2022-11-23T01:30:35.8373154Z 2022-11-23T01:30:35.8373214Z 2022-11-23T01:30:35.8373537Z [2022-11-23 01:25:34,524] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8373644Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_234) 2022-11-23T01:30:35.8373762Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8373838Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8373918Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8374005Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8374090Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8374165Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8374251Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8374341Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8374401Z 18 RETURN_VALUE 2022-11-23T01:30:35.8374419Z 2022-11-23T01:30:35.8374466Z 2022-11-23T01:30:35.8374647Z [2022-11-23 01:25:34,525] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8374718Z - 2022-11-23T01:30:35.8374840Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8374903Z { 2022-11-23T01:30:35.8375042Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8375217Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8375336Z 'obj_weakref': None 2022-11-23T01:30:35.8375563Z 'guarded_class': 2022-11-23T01:30:35.8375628Z } 2022-11-23T01:30:35.8375696Z 2022-11-23T01:30:35.8375765Z - 2022-11-23T01:30:35.8375889Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8375938Z { 2022-11-23T01:30:35.8376079Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8376183Z 'code': None, 2022-11-23T01:30:35.8376396Z 'obj_weakref': 2022-11-23T01:30:35.8376646Z 'guarded_class': 2022-11-23T01:30:35.8376710Z } 2022-11-23T01:30:35.8376775Z 2022-11-23T01:30:35.8376844Z - 2022-11-23T01:30:35.8376952Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8377015Z { 2022-11-23T01:30:35.8377161Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8377267Z 'code': None, 2022-11-23T01:30:35.8377475Z 'obj_weakref': 2022-11-23T01:30:35.8377726Z 'guarded_class': 2022-11-23T01:30:35.8377789Z } 2022-11-23T01:30:35.8377841Z 2022-11-23T01:30:35.8377908Z - 2022-11-23T01:30:35.8378029Z local 'model' NN_MODULE 2022-11-23T01:30:35.8378093Z { 2022-11-23T01:30:35.8378226Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8378392Z 'code': ['___check_obj_id(model, 140534659305856)'], 2022-11-23T01:30:35.8378590Z 'obj_weakref': 2022-11-23T01:30:35.8378796Z 'guarded_class': 2022-11-23T01:30:35.8378886Z } 2022-11-23T01:30:35.8378950Z 2022-11-23T01:30:35.8379019Z - 2022-11-23T01:30:35.8379139Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8379202Z { 2022-11-23T01:30:35.8379324Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8379541Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8379659Z 'obj_weakref': None 2022-11-23T01:30:35.8379881Z 'guarded_class': 2022-11-23T01:30:35.8379942Z } 2022-11-23T01:30:35.8380003Z 2022-11-23T01:30:35.8380072Z - 2022-11-23T01:30:35.8380224Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8380314Z { 2022-11-23T01:30:35.8380432Z 'guard_types': None, 2022-11-23T01:30:35.8380539Z 'code': None, 2022-11-23T01:30:35.8380657Z 'obj_weakref': None 2022-11-23T01:30:35.8380777Z 'guarded_class': None 2022-11-23T01:30:35.8380838Z } 2022-11-23T01:30:35.8380887Z 2022-11-23T01:30:35.8380955Z - 2022-11-23T01:30:35.8381123Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8381185Z { 2022-11-23T01:30:35.8381302Z 'guard_types': None, 2022-11-23T01:30:35.8381406Z 'code': None, 2022-11-23T01:30:35.8381523Z 'obj_weakref': None 2022-11-23T01:30:35.8381630Z 'guarded_class': None 2022-11-23T01:30:35.8381692Z } 2022-11-23T01:30:35.8381752Z 2022-11-23T01:30:35.8382012Z [2022-11-23 01:25:34,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227 2022-11-23T01:30:35.8382376Z [2022-11-23 01:25:34,538] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:30:35.8382641Z [2022-11-23 01:25:34,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227 2022-11-23T01:30:35.8382878Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8383189Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8383404Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8383632Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8383895Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8384208Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8384545Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8384854Z [2022-11-23 01:25:34,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8385237Z [2022-11-23 01:25:34,544] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8385331Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8385425Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8385513Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8385591Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8385681Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8385686Z 2022-11-23T01:30:35.8385804Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8385900Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8385987Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8386072Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8386159Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8386232Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8386249Z 2022-11-23T01:30:35.8386320Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8386395Z 24 RETURN_VALUE 2022-11-23T01:30:35.8386455Z 2022-11-23T01:30:35.8386459Z 2022-11-23T01:30:35.8386773Z [2022-11-23 01:25:34,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8387017Z [2022-11-23 01:25:34,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8387268Z [2022-11-23 01:25:34,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8387509Z [2022-11-23 01:25:34,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8387782Z [2022-11-23 01:25:34,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8388007Z [2022-11-23 01:25:34,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8388317Z [2022-11-23 01:25:34,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8388525Z [2022-11-23 01:25:34,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8388776Z [2022-11-23 01:25:34,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8389027Z [2022-11-23 01:25:34,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8389302Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8389615Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8389993Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8390082Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8390174Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:30:35.8390251Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8390340Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8390415Z 8 RETURN_VALUE 2022-11-23T01:30:35.8390475Z 2022-11-23T01:30:35.8390482Z 2022-11-23T01:30:35.8390690Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8390927Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:30:35.8391199Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:30:35.8391509Z [2022-11-23 01:25:34,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:30:35.8391742Z [2022-11-23 01:25:34,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8392129Z [2022-11-23 01:25:34,549] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8392397Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8392712Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8392919Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8393163Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8393550Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8393792Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8394052Z [2022-11-23 01:25:34,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8394306Z [2022-11-23 01:25:34,551] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8394541Z [2022-11-23 01:25:34,559] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8394728Z [2022-11-23 01:25:34,559] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8394861Z __compiled_fn_235 .1921 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8394949Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8395034Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8395155Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8395262Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8395267Z 2022-11-23T01:30:35.8395595Z [2022-11-23 01:25:34,560] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8395678Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8395767Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8395851Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8395942Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8396026Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8396113Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8396188Z 12 RETURN_VALUE 2022-11-23T01:30:35.8396193Z 2022-11-23T01:30:35.8396252Z 2022-11-23T01:30:35.8396556Z [2022-11-23 01:25:34,560] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8396663Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_235) 2022-11-23T01:30:35.8396754Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8396843Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8396921Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8397008Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8397093Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8397155Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8397241Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8397328Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8397402Z 18 RETURN_VALUE 2022-11-23T01:30:35.8397407Z 2022-11-23T01:30:35.8397467Z 2022-11-23T01:30:35.8397648Z [2022-11-23 01:25:34,561] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8397717Z - 2022-11-23T01:30:35.8397823Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8397887Z { 2022-11-23T01:30:35.8398027Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8398215Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8398333Z 'obj_weakref': None 2022-11-23T01:30:35.8398585Z 'guarded_class': 2022-11-23T01:30:35.8398651Z } 2022-11-23T01:30:35.8398701Z 2022-11-23T01:30:35.8398770Z - 2022-11-23T01:30:35.8398892Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8398954Z { 2022-11-23T01:30:35.8399095Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8399199Z 'code': None, 2022-11-23T01:30:35.8399409Z 'obj_weakref': 2022-11-23T01:30:35.8399646Z 'guarded_class': 2022-11-23T01:30:35.8399710Z } 2022-11-23T01:30:35.8399771Z 2022-11-23T01:30:35.8399869Z - 2022-11-23T01:30:35.8400058Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8400124Z { 2022-11-23T01:30:35.8400270Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8400364Z 'code': None, 2022-11-23T01:30:35.8400575Z 'obj_weakref': 2022-11-23T01:30:35.8400826Z 'guarded_class': 2022-11-23T01:30:35.8400888Z } 2022-11-23T01:30:35.8400969Z 2022-11-23T01:30:35.8401038Z - 2022-11-23T01:30:35.8401157Z local 'model' NN_MODULE 2022-11-23T01:30:35.8401206Z { 2022-11-23T01:30:35.8401340Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8401509Z 'code': ['___check_obj_id(model, 140534625132576)'], 2022-11-23T01:30:35.8401714Z 'obj_weakref': 2022-11-23T01:30:35.8401934Z 'guarded_class': 2022-11-23T01:30:35.8401997Z } 2022-11-23T01:30:35.8402063Z 2022-11-23T01:30:35.8402118Z - 2022-11-23T01:30:35.8402238Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8402300Z { 2022-11-23T01:30:35.8402434Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8402651Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8402767Z 'obj_weakref': None 2022-11-23T01:30:35.8402988Z 'guarded_class': 2022-11-23T01:30:35.8403049Z } 2022-11-23T01:30:35.8403100Z 2022-11-23T01:30:35.8403170Z - 2022-11-23T01:30:35.8403324Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8403389Z { 2022-11-23T01:30:35.8403512Z 'guard_types': None, 2022-11-23T01:30:35.8403616Z 'code': None, 2022-11-23T01:30:35.8403719Z 'obj_weakref': None 2022-11-23T01:30:35.8403843Z 'guarded_class': None 2022-11-23T01:30:35.8403905Z } 2022-11-23T01:30:35.8403967Z 2022-11-23T01:30:35.8404036Z - 2022-11-23T01:30:35.8404201Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8404263Z { 2022-11-23T01:30:35.8404367Z 'guard_types': None, 2022-11-23T01:30:35.8404472Z 'code': None, 2022-11-23T01:30:35.8404587Z 'obj_weakref': None 2022-11-23T01:30:35.8404706Z 'guarded_class': None 2022-11-23T01:30:35.8404946Z } 2022-11-23T01:30:35.8405009Z 2022-11-23T01:30:35.8405270Z [2022-11-23 01:25:34,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228 2022-11-23T01:30:35.8405625Z [2022-11-23 01:25:34,575] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:30:35.8405952Z [2022-11-23 01:25:34,575] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228 2022-11-23T01:30:35.8406191Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8406504Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8406720Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8406960Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8407227Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8407540Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8407917Z [2022-11-23 01:25:34,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8408226Z [2022-11-23 01:25:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8408595Z [2022-11-23 01:25:34,582] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8408688Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8408782Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8408871Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8408959Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8409051Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8409057Z 2022-11-23T01:30:35.8409148Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8409244Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8409317Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8409404Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8409492Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8409578Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8409583Z 2022-11-23T01:30:35.8409666Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8409741Z 24 RETURN_VALUE 2022-11-23T01:30:35.8409801Z 2022-11-23T01:30:35.8409806Z 2022-11-23T01:30:35.8410118Z [2022-11-23 01:25:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8410321Z [2022-11-23 01:25:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8410571Z [2022-11-23 01:25:34,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8410810Z [2022-11-23 01:25:34,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8411087Z [2022-11-23 01:25:34,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8411325Z [2022-11-23 01:25:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8411638Z [2022-11-23 01:25:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8411848Z [2022-11-23 01:25:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8412098Z [2022-11-23 01:25:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8412383Z [2022-11-23 01:25:34,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8412647Z [2022-11-23 01:25:34,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8412962Z [2022-11-23 01:25:34,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8413346Z [2022-11-23 01:25:34,598] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8413436Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8413531Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:30:35.8413622Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8413742Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8413819Z 8 RETURN_VALUE 2022-11-23T01:30:35.8413866Z 2022-11-23T01:30:35.8413886Z 2022-11-23T01:30:35.8414084Z [2022-11-23 01:25:34,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8414323Z [2022-11-23 01:25:34,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:30:35.8414597Z [2022-11-23 01:25:34,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:30:35.8414903Z [2022-11-23 01:25:34,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:30:35.8415146Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8415531Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8415774Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8416089Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8416296Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8416530Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8416920Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8417164Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8417399Z [2022-11-23 01:25:34,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8417657Z [2022-11-23 01:25:34,602] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8417905Z [2022-11-23 01:25:34,613] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8418092Z [2022-11-23 01:25:34,614] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8418226Z __compiled_fn_236 .1932 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8418315Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8418388Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8418511Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8418619Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8418624Z 2022-11-23T01:30:35.8418949Z [2022-11-23 01:25:34,614] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8419044Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8419161Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8419248Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8419340Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8419413Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8419503Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8419579Z 12 RETURN_VALUE 2022-11-23T01:30:35.8419584Z 2022-11-23T01:30:35.8419646Z 2022-11-23T01:30:35.8419968Z [2022-11-23 01:25:34,614] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8420075Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_236) 2022-11-23T01:30:35.8420164Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8420308Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8420371Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8420462Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8420548Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8420621Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8420711Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8420799Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8420874Z 18 RETURN_VALUE 2022-11-23T01:30:35.8420879Z 2022-11-23T01:30:35.8420927Z 2022-11-23T01:30:35.8421108Z [2022-11-23 01:25:34,615] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8421177Z - 2022-11-23T01:30:35.8421297Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8421363Z { 2022-11-23T01:30:35.8421502Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8421688Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8421797Z 'obj_weakref': None 2022-11-23T01:30:35.8422025Z 'guarded_class': 2022-11-23T01:30:35.8422090Z } 2022-11-23T01:30:35.8422153Z 2022-11-23T01:30:35.8422223Z - 2022-11-23T01:30:35.8422345Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8422407Z { 2022-11-23T01:30:35.8422536Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8422643Z 'code': None, 2022-11-23T01:30:35.8422854Z 'obj_weakref': 2022-11-23T01:30:35.8423103Z 'guarded_class': 2022-11-23T01:30:35.8423166Z } 2022-11-23T01:30:35.8423229Z 2022-11-23T01:30:35.8423298Z - 2022-11-23T01:30:35.8423406Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8423472Z { 2022-11-23T01:30:35.8423613Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8423720Z 'code': None, 2022-11-23T01:30:35.8423931Z 'obj_weakref': 2022-11-23T01:30:35.8424180Z 'guarded_class': 2022-11-23T01:30:35.8424243Z } 2022-11-23T01:30:35.8424293Z 2022-11-23T01:30:35.8424361Z - 2022-11-23T01:30:35.8424481Z local 'model' NN_MODULE 2022-11-23T01:30:35.8424544Z { 2022-11-23T01:30:35.8424678Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8424843Z 'code': ['___check_obj_id(model, 140534642487168)'], 2022-11-23T01:30:35.8425043Z 'obj_weakref': 2022-11-23T01:30:35.8425246Z 'guarded_class': 2022-11-23T01:30:35.8425313Z } 2022-11-23T01:30:35.8425374Z 2022-11-23T01:30:35.8425443Z - 2022-11-23T01:30:35.8425610Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8425674Z { 2022-11-23T01:30:35.8425807Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8426012Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8426129Z 'obj_weakref': None 2022-11-23T01:30:35.8426350Z 'guarded_class': 2022-11-23T01:30:35.8426412Z } 2022-11-23T01:30:35.8426474Z 2022-11-23T01:30:35.8426545Z - 2022-11-23T01:30:35.8426701Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8426752Z { 2022-11-23T01:30:35.8426870Z 'guard_types': None, 2022-11-23T01:30:35.8427019Z 'code': None, 2022-11-23T01:30:35.8427136Z 'obj_weakref': None 2022-11-23T01:30:35.8427257Z 'guarded_class': None 2022-11-23T01:30:35.8427322Z } 2022-11-23T01:30:35.8427384Z 2022-11-23T01:30:35.8427439Z - 2022-11-23T01:30:35.8427606Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8427669Z { 2022-11-23T01:30:35.8427787Z 'guard_types': None, 2022-11-23T01:30:35.8427890Z 'code': None, 2022-11-23T01:30:35.8428005Z 'obj_weakref': None 2022-11-23T01:30:35.8428122Z 'guarded_class': None 2022-11-23T01:30:35.8428172Z } 2022-11-23T01:30:35.8428233Z 2022-11-23T01:30:35.8428490Z [2022-11-23 01:25:34,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229 2022-11-23T01:30:35.8428852Z [2022-11-23 01:25:34,628] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:30:35.8429116Z [2022-11-23 01:25:34,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229 2022-11-23T01:30:35.8429352Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8429666Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8429882Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8430113Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8430379Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8430690Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8431030Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8431343Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8431727Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8431820Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8431914Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8432003Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8432127Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8432219Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8432224Z 2022-11-23T01:30:35.8432313Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8432435Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8432523Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8432609Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8432694Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8432782Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8432786Z 2022-11-23T01:30:35.8432857Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8432933Z 24 RETURN_VALUE 2022-11-23T01:30:35.8432992Z 2022-11-23T01:30:35.8432997Z 2022-11-23T01:30:35.8433313Z [2022-11-23 01:25:34,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8433524Z [2022-11-23 01:25:34,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8433804Z [2022-11-23 01:25:34,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8434045Z [2022-11-23 01:25:34,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8434320Z [2022-11-23 01:25:34,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8434554Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8434853Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8435063Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8435310Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8435560Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8435836Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8436149Z [2022-11-23 01:25:34,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8436529Z [2022-11-23 01:25:34,636] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8436619Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8436713Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:30:35.8436788Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8436875Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8436953Z 8 RETURN_VALUE 2022-11-23T01:30:35.8437013Z 2022-11-23T01:30:35.8437018Z 2022-11-23T01:30:35.8437228Z [2022-11-23 01:25:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8437466Z [2022-11-23 01:25:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:30:35.8437738Z [2022-11-23 01:25:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:30:35.8438041Z [2022-11-23 01:25:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:30:35.8438284Z [2022-11-23 01:25:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8438662Z [2022-11-23 01:25:34,637] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 2022-11-23T01:30:35.8438901Z [2022-11-23 01:25:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8439239Z [2022-11-23 01:25:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8439448Z [2022-11-23 01:25:34,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8439694Z [2022-11-23 01:25:34,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8440164Z [2022-11-23 01:25:34,638] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8440413Z [2022-11-23 01:25:34,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8440644Z [2022-11-23 01:25:34,638] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8440932Z [2022-11-23 01:25:34,638] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8441182Z [2022-11-23 01:25:34,646] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8441356Z [2022-11-23 01:25:34,646] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8441490Z __compiled_fn_237 .1943 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8441579Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8441664Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8441787Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8441894Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8441901Z 2022-11-23T01:30:35.8442224Z [2022-11-23 01:25:34,647] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8442319Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8442396Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8442481Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8442571Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8442656Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8442743Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8442817Z 12 RETURN_VALUE 2022-11-23T01:30:35.8442822Z 2022-11-23T01:30:35.8442882Z 2022-11-23T01:30:35.8443192Z [2022-11-23 01:25:34,647] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8443298Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_237) 2022-11-23T01:30:35.8443386Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8443479Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8443555Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8443642Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8443731Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8443804Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8443877Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8443965Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8444039Z 18 RETURN_VALUE 2022-11-23T01:30:35.8444044Z 2022-11-23T01:30:35.8444103Z 2022-11-23T01:30:35.8444283Z [2022-11-23 01:25:34,647] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8444356Z - 2022-11-23T01:30:35.8444473Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8444525Z { 2022-11-23T01:30:35.8444663Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8444941Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8445062Z 'obj_weakref': None 2022-11-23T01:30:35.8445288Z 'guarded_class': 2022-11-23T01:30:35.8445452Z } 2022-11-23T01:30:35.8445517Z 2022-11-23T01:30:35.8445574Z - 2022-11-23T01:30:35.8445698Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8445761Z { 2022-11-23T01:30:35.8445903Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8446008Z 'code': None, 2022-11-23T01:30:35.8446220Z 'obj_weakref': 2022-11-23T01:30:35.8446472Z 'guarded_class': 2022-11-23T01:30:35.8446522Z } 2022-11-23T01:30:35.8446583Z 2022-11-23T01:30:35.8446652Z - 2022-11-23T01:30:35.8446773Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8446835Z { 2022-11-23T01:30:35.8447015Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8447121Z 'code': None, 2022-11-23T01:30:35.8447321Z 'obj_weakref': 2022-11-23T01:30:35.8447572Z 'guarded_class': 2022-11-23T01:30:35.8447634Z } 2022-11-23T01:30:35.8447696Z 2022-11-23T01:30:35.8447765Z - 2022-11-23T01:30:35.8447884Z local 'model' NN_MODULE 2022-11-23T01:30:35.8447946Z { 2022-11-23T01:30:35.8448066Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8448234Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.8448436Z 'obj_weakref': 2022-11-23T01:30:35.8448653Z 'guarded_class': 2022-11-23T01:30:35.8448717Z } 2022-11-23T01:30:35.8448779Z 2022-11-23T01:30:35.8448847Z - 2022-11-23T01:30:35.8448955Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8449023Z { 2022-11-23T01:30:35.8449303Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8449652Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8449925Z 'obj_weakref': None 2022-11-23T01:30:35.8450267Z 'guarded_class': 2022-11-23T01:30:35.8450506Z } 2022-11-23T01:30:35.8450652Z 2022-11-23T01:30:35.8450815Z - 2022-11-23T01:30:35.8451060Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8451251Z { 2022-11-23T01:30:35.8451464Z 'guard_types': None, 2022-11-23T01:30:35.8451691Z 'code': None, 2022-11-23T01:30:35.8451920Z 'obj_weakref': None 2022-11-23T01:30:35.8452142Z 'guarded_class': None 2022-11-23T01:30:35.8452319Z } 2022-11-23T01:30:35.8452470Z 2022-11-23T01:30:35.8452620Z - 2022-11-23T01:30:35.8452874Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8453113Z { 2022-11-23T01:30:35.8453311Z 'guard_types': None, 2022-11-23T01:30:35.8453532Z 'code': None, 2022-11-23T01:30:35.8453752Z 'obj_weakref': None 2022-11-23T01:30:35.8453974Z 'guarded_class': None 2022-11-23T01:30:35.8454158Z } 2022-11-23T01:30:35.8454318Z 2022-11-23T01:30:35.8454661Z [2022-11-23 01:25:34,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230 2022-11-23T01:30:35.8455227Z [2022-11-23 01:25:34,659] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:30:35.8455773Z [2022-11-23 01:25:34,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230 2022-11-23T01:30:35.8456236Z [2022-11-23 01:25:34,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8456725Z [2022-11-23 01:25:34,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8457173Z [2022-11-23 01:25:34,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8457580Z [2022-11-23 01:25:34,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8458033Z [2022-11-23 01:25:34,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8458530Z [2022-11-23 01:25:34,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8459164Z [2022-11-23 01:25:34,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8459721Z [2022-11-23 01:25:34,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8460330Z [2022-11-23 01:25:34,664] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8460677Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8460891Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8461103Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8461310Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8461503Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8461627Z 2022-11-23T01:30:35.8461721Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8461936Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8462142Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8462412Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8462691Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8462939Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8463074Z 2022-11-23T01:30:35.8463207Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8463442Z 24 RETURN_VALUE 2022-11-23T01:30:35.8463610Z 2022-11-23T01:30:35.8463688Z 2022-11-23T01:30:35.8464024Z [2022-11-23 01:25:34,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8464588Z [2022-11-23 01:25:34,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8465068Z [2022-11-23 01:25:34,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8465488Z [2022-11-23 01:25:34,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8465955Z [2022-11-23 01:25:34,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8466394Z [2022-11-23 01:25:34,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8466890Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8467311Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8467729Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8468172Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8468697Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8469204Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8469809Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8470160Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8470373Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:30:35.8470573Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8470779Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8470972Z 8 RETURN_VALUE 2022-11-23T01:30:35.8471165Z 2022-11-23T01:30:35.8471254Z 2022-11-23T01:30:35.8471467Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8471876Z [2022-11-23 01:25:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.8472332Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.8472864Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.8473430Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8474009Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8474567Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8475105Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8475542Z [2022-11-23 01:25:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8475957Z [2022-11-23 01:25:34,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8476525Z [2022-11-23 01:25:34,675] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8477117Z [2022-11-23 01:25:34,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8477541Z [2022-11-23 01:25:34,675] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8477980Z [2022-11-23 01:25:34,676] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8478428Z [2022-11-23 01:25:34,689] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8478793Z [2022-11-23 01:25:34,690] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8479088Z __compiled_fn_238 .1954 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8479338Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8479534Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8479776Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8480093Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8480238Z 2022-11-23T01:30:35.8480556Z [2022-11-23 01:25:34,690] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8480889Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8481105Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8481377Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8481574Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8481777Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8481982Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8482159Z 12 RETURN_VALUE 2022-11-23T01:30:35.8482272Z 2022-11-23T01:30:35.8482334Z 2022-11-23T01:30:35.8482745Z [2022-11-23 01:25:34,690] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8483086Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_238) 2022-11-23T01:30:35.8483302Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8483514Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8483742Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8483926Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8484129Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8484326Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8484509Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8484722Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8485030Z 18 RETURN_VALUE 2022-11-23T01:30:35.8485147Z 2022-11-23T01:30:35.8485195Z 2022-11-23T01:30:35.8485471Z [2022-11-23 01:25:34,691] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8485693Z - 2022-11-23T01:30:35.8485892Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8486074Z { 2022-11-23T01:30:35.8486315Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8486613Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8486879Z 'obj_weakref': None 2022-11-23T01:30:35.8487232Z 'guarded_class': 2022-11-23T01:30:35.8487464Z } 2022-11-23T01:30:35.8487610Z 2022-11-23T01:30:35.8487843Z - 2022-11-23T01:30:35.8488096Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8488265Z { 2022-11-23T01:30:35.8488505Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8488741Z 'code': None, 2022-11-23T01:30:35.8489047Z 'obj_weakref': 2022-11-23T01:30:35.8489458Z 'guarded_class': 2022-11-23T01:30:35.8489705Z } 2022-11-23T01:30:35.8489854Z 2022-11-23T01:30:35.8490017Z - 2022-11-23T01:30:35.8490227Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8490394Z { 2022-11-23T01:30:35.8490628Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8490861Z 'code': None, 2022-11-23T01:30:35.8491166Z 'obj_weakref': 2022-11-23T01:30:35.8491578Z 'guarded_class': 2022-11-23T01:30:35.8491822Z } 2022-11-23T01:30:35.8491978Z 2022-11-23T01:30:35.8492128Z - 2022-11-23T01:30:35.8492334Z local 'model' NN_MODULE 2022-11-23T01:30:35.8492510Z { 2022-11-23T01:30:35.8492724Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8493017Z 'code': ['___check_obj_id(model, 140534430141744)'], 2022-11-23T01:30:35.8493358Z 'obj_weakref': 2022-11-23T01:30:35.8493720Z 'guarded_class': 2022-11-23T01:30:35.8493948Z } 2022-11-23T01:30:35.8494103Z 2022-11-23T01:30:35.8494250Z - 2022-11-23T01:30:35.8494461Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8494643Z { 2022-11-23T01:30:35.8494955Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8495298Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8495581Z 'obj_weakref': None 2022-11-23T01:30:35.8495917Z 'guarded_class': 2022-11-23T01:30:35.8496134Z } 2022-11-23T01:30:35.8496292Z 2022-11-23T01:30:35.8496454Z - 2022-11-23T01:30:35.8496685Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8496886Z { 2022-11-23T01:30:35.8497102Z 'guard_types': None, 2022-11-23T01:30:35.8497310Z 'code': None, 2022-11-23T01:30:35.8497531Z 'obj_weakref': None 2022-11-23T01:30:35.8497826Z 'guarded_class': None 2022-11-23T01:30:35.8497991Z } 2022-11-23T01:30:35.8498148Z 2022-11-23T01:30:35.8498311Z - 2022-11-23T01:30:35.8498557Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8498763Z { 2022-11-23T01:30:35.8498978Z 'guard_types': None, 2022-11-23T01:30:35.8499187Z 'code': None, 2022-11-23T01:30:35.8499409Z 'obj_weakref': None 2022-11-23T01:30:35.8499642Z 'guarded_class': None 2022-11-23T01:30:35.8499808Z } 2022-11-23T01:30:35.8499964Z 2022-11-23T01:30:35.8500319Z [2022-11-23 01:25:34,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231 2022-11-23T01:30:35.8500868Z [2022-11-23 01:25:34,704] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:30:35.8501401Z [2022-11-23 01:25:34,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231 2022-11-23T01:30:35.8501840Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8502337Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8502768Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8503176Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8503628Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8504137Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8504692Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8505249Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8505858Z [2022-11-23 01:25:34,708] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8506214Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8506415Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8506626Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8506831Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8507024Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8507148Z 2022-11-23T01:30:35.8507241Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8507458Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8507698Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8507890Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8508087Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8508285Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8508404Z 2022-11-23T01:30:35.8508476Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8508666Z 24 RETURN_VALUE 2022-11-23T01:30:35.8508835Z 2022-11-23T01:30:35.8508922Z 2022-11-23T01:30:35.8509228Z [2022-11-23 01:25:34,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8509669Z [2022-11-23 01:25:34,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8510082Z [2022-11-23 01:25:34,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8510547Z [2022-11-23 01:25:34,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8510993Z [2022-11-23 01:25:34,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8511439Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8511935Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8512369Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8512767Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8513207Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8513679Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8514194Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8514781Z [2022-11-23 01:25:34,712] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8515127Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8515341Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:30:35.8515548Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8515742Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8515931Z 8 RETURN_VALUE 2022-11-23T01:30:35.8516102Z 2022-11-23T01:30:35.8516181Z 2022-11-23T01:30:35.8516392Z [2022-11-23 01:25:34,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8516798Z [2022-11-23 01:25:34,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.8517255Z [2022-11-23 01:25:34,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.8517760Z [2022-11-23 01:25:34,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.8518208Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8518776Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8519280Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8519802Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8520312Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8520722Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8521296Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8521806Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8522216Z [2022-11-23 01:25:34,714] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8522682Z [2022-11-23 01:25:34,715] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8523120Z [2022-11-23 01:25:34,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8523493Z [2022-11-23 01:25:34,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8523768Z __compiled_fn_239 .1965 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8524013Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8524217Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8524445Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8524697Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8524963Z 2022-11-23T01:30:35.8525298Z [2022-11-23 01:25:34,724] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8525616Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8525833Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8526038Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8526250Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8526442Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8526649Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8526841Z 12 RETURN_VALUE 2022-11-23T01:30:35.8526940Z 2022-11-23T01:30:35.8527001Z 2022-11-23T01:30:35.8527415Z [2022-11-23 01:25:34,724] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8527760Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_239) 2022-11-23T01:30:35.8527968Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8528174Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8528365Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8528563Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8528753Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8528947Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8529142Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8529338Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8529533Z 18 RETURN_VALUE 2022-11-23T01:30:35.8529642Z 2022-11-23T01:30:35.8529704Z 2022-11-23T01:30:35.8529960Z [2022-11-23 01:25:34,725] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8530178Z - 2022-11-23T01:30:35.8530385Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8530549Z { 2022-11-23T01:30:35.8530783Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8531095Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8531345Z 'obj_weakref': None 2022-11-23T01:30:35.8531687Z 'guarded_class': 2022-11-23T01:30:35.8531928Z } 2022-11-23T01:30:35.8532075Z 2022-11-23T01:30:35.8532238Z - 2022-11-23T01:30:35.8532506Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8532677Z { 2022-11-23T01:30:35.8532921Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8533157Z 'code': None, 2022-11-23T01:30:35.8533478Z 'obj_weakref': 2022-11-23T01:30:35.8533885Z 'guarded_class': 2022-11-23T01:30:35.8534137Z } 2022-11-23T01:30:35.8534297Z 2022-11-23T01:30:35.8534448Z - 2022-11-23T01:30:35.8534657Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8534834Z { 2022-11-23T01:30:35.8535055Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8535331Z 'code': None, 2022-11-23T01:30:35.8535646Z 'obj_weakref': 2022-11-23T01:30:35.8536045Z 'guarded_class': 2022-11-23T01:30:35.8536294Z } 2022-11-23T01:30:35.8536451Z 2022-11-23T01:30:35.8536600Z - 2022-11-23T01:30:35.8536809Z local 'model' NN_MODULE 2022-11-23T01:30:35.8536986Z { 2022-11-23T01:30:35.8537199Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8537531Z 'code': ['___check_obj_id(model, 140534625132576)'], 2022-11-23T01:30:35.8537871Z 'obj_weakref': 2022-11-23T01:30:35.8538244Z 'guarded_class': 2022-11-23T01:30:35.8538459Z } 2022-11-23T01:30:35.8538620Z 2022-11-23T01:30:35.8538788Z - 2022-11-23T01:30:35.8538986Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8539166Z { 2022-11-23T01:30:35.8539397Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8539721Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8540003Z 'obj_weakref': None 2022-11-23T01:30:35.8540340Z 'guarded_class': 2022-11-23T01:30:35.8540558Z } 2022-11-23T01:30:35.8540716Z 2022-11-23T01:30:35.8540875Z - 2022-11-23T01:30:35.8541106Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8541306Z { 2022-11-23T01:30:35.8541521Z 'guard_types': None, 2022-11-23T01:30:35.8541727Z 'code': None, 2022-11-23T01:30:35.8541950Z 'obj_weakref': None 2022-11-23T01:30:35.8542185Z 'guarded_class': None 2022-11-23T01:30:35.8542368Z } 2022-11-23T01:30:35.8542511Z 2022-11-23T01:30:35.8542673Z - 2022-11-23T01:30:35.8542933Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8543129Z { 2022-11-23T01:30:35.8543341Z 'guard_types': None, 2022-11-23T01:30:35.8543563Z 'code': None, 2022-11-23T01:30:35.8543776Z 'obj_weakref': None 2022-11-23T01:30:35.8544011Z 'guarded_class': None 2022-11-23T01:30:35.8544192Z } 2022-11-23T01:30:35.8544336Z 2022-11-23T01:30:35.8544691Z [2022-11-23 01:25:34,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232 2022-11-23T01:30:35.8545256Z [2022-11-23 01:25:34,737] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:30:35.8545782Z [2022-11-23 01:25:34,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232 2022-11-23T01:30:35.8546217Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8546756Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8547203Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8547600Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8548055Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8548562Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8549125Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8549701Z [2022-11-23 01:25:34,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8550309Z [2022-11-23 01:25:34,742] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8550662Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8550877Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8551073Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8551279Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8551484Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8551607Z 2022-11-23T01:30:35.8551685Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8551903Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8552114Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8552318Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8552502Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8559069Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8559207Z 2022-11-23T01:30:35.8559299Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8559485Z 24 RETURN_VALUE 2022-11-23T01:30:35.8559655Z 2022-11-23T01:30:35.8559748Z 2022-11-23T01:30:35.8560208Z [2022-11-23 01:25:34,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8560665Z [2022-11-23 01:25:34,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8561070Z [2022-11-23 01:25:34,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8561513Z [2022-11-23 01:25:34,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8561975Z [2022-11-23 01:25:34,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8562425Z [2022-11-23 01:25:34,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8562909Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8563343Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8563758Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8564197Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8564657Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8565397Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8566013Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8566365Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8566566Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:30:35.8566782Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8566986Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8567166Z 8 RETURN_VALUE 2022-11-23T01:30:35.8567337Z 2022-11-23T01:30:35.8567430Z 2022-11-23T01:30:35.8567686Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8568079Z [2022-11-23 01:25:34,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.8568539Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.8569047Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.8569515Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8570075Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8570577Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8571078Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8571513Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8571910Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8572478Z [2022-11-23 01:25:34,751] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8572988Z [2022-11-23 01:25:34,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8573402Z [2022-11-23 01:25:34,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8573819Z [2022-11-23 01:25:34,752] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8574259Z [2022-11-23 01:25:34,765] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8574634Z [2022-11-23 01:25:34,765] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8574921Z __compiled_fn_240 .1976 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8575156Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8575363Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8575602Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8575839Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8575978Z 2022-11-23T01:30:35.8576306Z [2022-11-23 01:25:34,765] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8576632Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8576844Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8577032Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8577266Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8577471Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8577660Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8577857Z 12 RETURN_VALUE 2022-11-23T01:30:35.8577969Z 2022-11-23T01:30:35.8578029Z 2022-11-23T01:30:35.8578430Z [2022-11-23 01:25:34,765] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8578774Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_240) 2022-11-23T01:30:35.8578994Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8579199Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8579379Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8579576Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8579816Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8579998Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8580195Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8580401Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8580579Z 18 RETURN_VALUE 2022-11-23T01:30:35.8580691Z 2022-11-23T01:30:35.8580753Z 2022-11-23T01:30:35.8581024Z [2022-11-23 01:25:34,766] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8581230Z - 2022-11-23T01:30:35.8581437Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8581615Z { 2022-11-23T01:30:35.8581840Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8582150Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8582413Z 'obj_weakref': None 2022-11-23T01:30:35.8582752Z 'guarded_class': 2022-11-23T01:30:35.8582975Z } 2022-11-23T01:30:35.8583133Z 2022-11-23T01:30:35.8583295Z - 2022-11-23T01:30:35.8583492Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8583680Z { 2022-11-23T01:30:35.8583917Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8584137Z 'code': None, 2022-11-23T01:30:35.8584454Z 'obj_weakref': 2022-11-23T01:30:35.8584868Z 'guarded_class': 2022-11-23T01:30:35.8585098Z } 2022-11-23T01:30:35.8585254Z 2022-11-23T01:30:35.8585417Z - 2022-11-23T01:30:35.8585616Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8585798Z { 2022-11-23T01:30:35.8586033Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8586250Z 'code': None, 2022-11-23T01:30:35.8586571Z 'obj_weakref': 2022-11-23T01:30:35.8586983Z 'guarded_class': 2022-11-23T01:30:35.8587224Z } 2022-11-23T01:30:35.8587366Z 2022-11-23T01:30:35.8587526Z - 2022-11-23T01:30:35.8587731Z local 'model' NN_MODULE 2022-11-23T01:30:35.8587896Z { 2022-11-23T01:30:35.8588126Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8588412Z 'code': ['___check_obj_id(model, 140534621936832)'], 2022-11-23T01:30:35.8588739Z 'obj_weakref': 2022-11-23T01:30:35.8589113Z 'guarded_class': 2022-11-23T01:30:35.8589337Z } 2022-11-23T01:30:35.8589481Z 2022-11-23T01:30:35.8589642Z - 2022-11-23T01:30:35.8589853Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8590023Z { 2022-11-23T01:30:35.8590253Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8590629Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8590898Z 'obj_weakref': None 2022-11-23T01:30:35.8591237Z 'guarded_class': 2022-11-23T01:30:35.8591468Z } 2022-11-23T01:30:35.8591624Z 2022-11-23T01:30:35.8591774Z - 2022-11-23T01:30:35.8592017Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8592218Z { 2022-11-23T01:30:35.8592420Z 'guard_types': None, 2022-11-23T01:30:35.8592691Z 'code': None, 2022-11-23T01:30:35.8592913Z 'obj_weakref': None 2022-11-23T01:30:35.8593134Z 'guarded_class': None 2022-11-23T01:30:35.8593314Z } 2022-11-23T01:30:35.8593501Z 2022-11-23T01:30:35.8593651Z - 2022-11-23T01:30:35.8593906Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8594116Z { 2022-11-23T01:30:35.8594316Z 'guard_types': None, 2022-11-23T01:30:35.8594540Z 'code': None, 2022-11-23T01:30:35.8594764Z 'obj_weakref': None 2022-11-23T01:30:35.8594984Z 'guarded_class': None 2022-11-23T01:30:35.8595164Z } 2022-11-23T01:30:35.8595319Z 2022-11-23T01:30:35.8595663Z [2022-11-23 01:25:34,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233 2022-11-23T01:30:35.8595865Z 2022-11-23T01:30:35.8595959Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8596151Z import torch 2022-11-23T01:30:35.8596306Z import random 2022-11-23T01:30:35.8596519Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8596781Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8596936Z 2022-11-23T01:30:35.8597013Z aten = torch.ops.aten 2022-11-23T01:30:35.8597242Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8597495Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8597621Z 2022-11-23T01:30:35.8597625Z 2022-11-23T01:30:35.8597716Z async_compile.wait(globals()) 2022-11-23T01:30:35.8597896Z del async_compile 2022-11-23T01:30:35.8598003Z 2022-11-23T01:30:35.8598073Z def call(args): 2022-11-23T01:30:35.8598257Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8598426Z args.clear() 2022-11-23T01:30:35.8598751Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8598999Z del arg0_1 2022-11-23T01:30:35.8599146Z del arg1_1 2022-11-23T01:30:35.8599305Z del arg2_1 2022-11-23T01:30:35.8599473Z return (buf0, ) 2022-11-23T01:30:35.8599580Z 2022-11-23T01:30:35.8599584Z 2022-11-23T01:30:35.8599659Z if __name__ == "__main__": 2022-11-23T01:30:35.8599868Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8600221Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8600583Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8600926Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8601123Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8601247Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8601252Z 2022-11-23T01:30:35.8601256Z 2022-11-23T01:30:35.8601349Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8601420Z import torch 2022-11-23T01:30:35.8601490Z import random 2022-11-23T01:30:35.8601604Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8601711Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8601716Z 2022-11-23T01:30:35.8601793Z aten = torch.ops.aten 2022-11-23T01:30:35.8601927Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8602019Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8602023Z 2022-11-23T01:30:35.8602068Z 2022-11-23T01:30:35.8602158Z async_compile.wait(globals()) 2022-11-23T01:30:35.8602228Z del async_compile 2022-11-23T01:30:35.8602232Z 2022-11-23T01:30:35.8602300Z def call(args): 2022-11-23T01:30:35.8602391Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8602449Z args.clear() 2022-11-23T01:30:35.8602676Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8602744Z del arg0_1 2022-11-23T01:30:35.8602813Z del arg1_1 2022-11-23T01:30:35.8602879Z del arg2_1 2022-11-23T01:30:35.8602946Z del arg3_1 2022-11-23T01:30:35.8603017Z return (buf0, ) 2022-11-23T01:30:35.8603024Z 2022-11-23T01:30:35.8603028Z 2022-11-23T01:30:35.8603091Z if __name__ == "__main__": 2022-11-23T01:30:35.8603211Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8603363Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8603569Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8603767Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8603970Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8604178Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8604308Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8604313Z 2022-11-23T01:30:35.8604317Z 2022-11-23T01:30:35.8604407Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8604464Z import torch 2022-11-23T01:30:35.8604534Z import random 2022-11-23T01:30:35.8604649Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8604875Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8604883Z 2022-11-23T01:30:35.8604962Z aten = torch.ops.aten 2022-11-23T01:30:35.8605094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8605186Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8605191Z 2022-11-23T01:30:35.8605195Z 2022-11-23T01:30:35.8605270Z async_compile.wait(globals()) 2022-11-23T01:30:35.8605342Z del async_compile 2022-11-23T01:30:35.8605346Z 2022-11-23T01:30:35.8605420Z def call(args): 2022-11-23T01:30:35.8605503Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8605574Z args.clear() 2022-11-23T01:30:35.8605798Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8605865Z del arg0_1 2022-11-23T01:30:35.8605931Z del arg1_1 2022-11-23T01:30:35.8605983Z del arg2_1 2022-11-23T01:30:35.8606053Z return (buf0, ) 2022-11-23T01:30:35.8606058Z 2022-11-23T01:30:35.8606061Z 2022-11-23T01:30:35.8606136Z if __name__ == "__main__": 2022-11-23T01:30:35.8606252Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8606374Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8606577Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8606781Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8606971Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8607095Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8607099Z 2022-11-23T01:30:35.8607103Z 2022-11-23T01:30:35.8607196Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8607269Z import torch 2022-11-23T01:30:35.8607339Z import random 2022-11-23T01:30:35.8607451Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8607568Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8607572Z 2022-11-23T01:30:35.8607648Z aten = torch.ops.aten 2022-11-23T01:30:35.8607769Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8607860Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8607864Z 2022-11-23T01:30:35.8607915Z 2022-11-23T01:30:35.8608003Z async_compile.wait(globals()) 2022-11-23T01:30:35.8608075Z del async_compile 2022-11-23T01:30:35.8608079Z 2022-11-23T01:30:35.8608151Z def call(args): 2022-11-23T01:30:35.8608239Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8608310Z args.clear() 2022-11-23T01:30:35.8608537Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8608591Z del arg0_1 2022-11-23T01:30:35.8608658Z del arg1_1 2022-11-23T01:30:35.8608723Z del arg2_1 2022-11-23T01:30:35.8608788Z del arg3_1 2022-11-23T01:30:35.8608858Z return (buf0, ) 2022-11-23T01:30:35.8608862Z 2022-11-23T01:30:35.8608866Z 2022-11-23T01:30:35.8608942Z if __name__ == "__main__": 2022-11-23T01:30:35.8609053Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8609197Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8609402Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8609596Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8609795Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8609991Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8610118Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8610123Z 2022-11-23T01:30:35.8610127Z 2022-11-23T01:30:35.8610219Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8610285Z import torch 2022-11-23T01:30:35.8610342Z import random 2022-11-23T01:30:35.8610455Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8610572Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8610579Z 2022-11-23T01:30:35.8610655Z aten = torch.ops.aten 2022-11-23T01:30:35.8610786Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8610878Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8610882Z 2022-11-23T01:30:35.8610886Z 2022-11-23T01:30:35.8610973Z async_compile.wait(globals()) 2022-11-23T01:30:35.8611044Z del async_compile 2022-11-23T01:30:35.8611049Z 2022-11-23T01:30:35.8611104Z def call(args): 2022-11-23T01:30:35.8611184Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8611254Z args.clear() 2022-11-23T01:30:35.8611505Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8611572Z del arg0_1 2022-11-23T01:30:35.8611637Z del arg1_1 2022-11-23T01:30:35.8611702Z del arg2_1 2022-11-23T01:30:35.8611758Z return (buf0, ) 2022-11-23T01:30:35.8611776Z 2022-11-23T01:30:35.8611781Z 2022-11-23T01:30:35.8611843Z if __name__ == "__main__": 2022-11-23T01:30:35.8611957Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8612080Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8612284Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8612483Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8612676Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8612797Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8612801Z 2022-11-23T01:30:35.8612805Z 2022-11-23T01:30:35.8612897Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8612953Z import torch 2022-11-23T01:30:35.8613021Z import random 2022-11-23T01:30:35.8613135Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8613253Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8613258Z 2022-11-23T01:30:35.8613334Z aten = torch.ops.aten 2022-11-23T01:30:35.8613466Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8613555Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8613560Z 2022-11-23T01:30:35.8613564Z 2022-11-23T01:30:35.8613680Z async_compile.wait(globals()) 2022-11-23T01:30:35.8613740Z del async_compile 2022-11-23T01:30:35.8613744Z 2022-11-23T01:30:35.8613814Z def call(args): 2022-11-23T01:30:35.8613900Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8613969Z args.clear() 2022-11-23T01:30:35.8614195Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8614262Z del arg0_1 2022-11-23T01:30:35.8614329Z del arg1_1 2022-11-23T01:30:35.8614381Z del arg2_1 2022-11-23T01:30:35.8614444Z del arg3_1 2022-11-23T01:30:35.8614517Z return (buf0, ) 2022-11-23T01:30:35.8614521Z 2022-11-23T01:30:35.8614525Z 2022-11-23T01:30:35.8614599Z if __name__ == "__main__": 2022-11-23T01:30:35.8614711Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8614858Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8615061Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8615241Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8615443Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8615645Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8615773Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8615778Z 2022-11-23T01:30:35.8615782Z 2022-11-23T01:30:35.8615876Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8615943Z import torch 2022-11-23T01:30:35.8616013Z import random 2022-11-23T01:30:35.8616126Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8616232Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8616252Z 2022-11-23T01:30:35.8616316Z aten = torch.ops.aten 2022-11-23T01:30:35.8616449Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8616546Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8616550Z 2022-11-23T01:30:35.8616554Z 2022-11-23T01:30:35.8616642Z async_compile.wait(globals()) 2022-11-23T01:30:35.8616714Z del async_compile 2022-11-23T01:30:35.8616719Z 2022-11-23T01:30:35.8616787Z def call(args): 2022-11-23T01:30:35.8616866Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8616923Z args.clear() 2022-11-23T01:30:35.8617145Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8617211Z del arg0_1 2022-11-23T01:30:35.8617277Z del arg1_1 2022-11-23T01:30:35.8617342Z del arg2_1 2022-11-23T01:30:35.8617412Z return (buf0, ) 2022-11-23T01:30:35.8617416Z 2022-11-23T01:30:35.8617420Z 2022-11-23T01:30:35.8617495Z if __name__ == "__main__": 2022-11-23T01:30:35.8617607Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8617715Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8617915Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8618119Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8618320Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8618441Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8618445Z 2022-11-23T01:30:35.8618814Z [2022-11-23 01:25:34,779] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:30:35.8619080Z [2022-11-23 01:25:34,779] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233 2022-11-23T01:30:35.8619317Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8619689Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8619895Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8620135Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8620404Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8620713Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8621048Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8621401Z [2022-11-23 01:25:34,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8621790Z [2022-11-23 01:25:34,784] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8621885Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8621980Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8622056Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8622146Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8622236Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8622241Z 2022-11-23T01:30:35.8622332Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8622426Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8622513Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8622602Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8622690Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8622767Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8622772Z 2022-11-23T01:30:35.8622856Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8622930Z 24 RETURN_VALUE 2022-11-23T01:30:35.8622990Z 2022-11-23T01:30:35.8622995Z 2022-11-23T01:30:35.8623312Z [2022-11-23 01:25:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8623526Z [2022-11-23 01:25:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8623776Z [2022-11-23 01:25:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8624023Z [2022-11-23 01:25:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8624299Z [2022-11-23 01:25:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8624526Z [2022-11-23 01:25:34,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8624837Z [2022-11-23 01:25:34,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8625045Z [2022-11-23 01:25:34,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8625293Z [2022-11-23 01:25:34,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8625543Z [2022-11-23 01:25:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8625819Z [2022-11-23 01:25:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8626133Z [2022-11-23 01:25:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8626539Z [2022-11-23 01:25:34,787] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8626631Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8626711Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:30:35.8626800Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8626887Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8626965Z 8 RETURN_VALUE 2022-11-23T01:30:35.8627026Z 2022-11-23T01:30:35.8627031Z 2022-11-23T01:30:35.8627238Z [2022-11-23 01:25:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8627477Z [2022-11-23 01:25:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:30:35.8627780Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:30:35.8628072Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:30:35.8628315Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8628697Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 2022-11-23T01:30:35.8628939Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8629250Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8629460Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8629707Z [2022-11-23 01:25:34,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8630087Z [2022-11-23 01:25:34,789] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8630332Z [2022-11-23 01:25:34,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8630564Z [2022-11-23 01:25:34,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8630805Z [2022-11-23 01:25:34,789] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8631050Z [2022-11-23 01:25:34,797] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8631239Z [2022-11-23 01:25:34,797] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8631376Z __compiled_fn_241 .1987 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8631464Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8631549Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8631668Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8631777Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8631782Z 2022-11-23T01:30:35.8632105Z [2022-11-23 01:25:34,798] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8632187Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8632278Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8632365Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8632459Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8632544Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8632659Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8632754Z 12 RETURN_VALUE 2022-11-23T01:30:35.8632759Z 2022-11-23T01:30:35.8632807Z 2022-11-23T01:30:35.8633125Z [2022-11-23 01:25:34,798] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8633233Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_241) 2022-11-23T01:30:35.8633321Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8633410Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8633485Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8633572Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8633658Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8633720Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8633837Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8633932Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8634009Z 18 RETURN_VALUE 2022-11-23T01:30:35.8634013Z 2022-11-23T01:30:35.8634073Z 2022-11-23T01:30:35.8634255Z [2022-11-23 01:25:34,798] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8634325Z - 2022-11-23T01:30:35.8634430Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8634493Z { 2022-11-23T01:30:35.8634637Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8634821Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8634938Z 'obj_weakref': None 2022-11-23T01:30:35.8635164Z 'guarded_class': 2022-11-23T01:30:35.8635229Z } 2022-11-23T01:30:35.8635278Z 2022-11-23T01:30:35.8635349Z - 2022-11-23T01:30:35.8635473Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8635536Z { 2022-11-23T01:30:35.8635676Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8635782Z 'code': None, 2022-11-23T01:30:35.8635990Z 'obj_weakref': 2022-11-23T01:30:35.8636229Z 'guarded_class': 2022-11-23T01:30:35.8636292Z } 2022-11-23T01:30:35.8636355Z 2022-11-23T01:30:35.8636424Z - 2022-11-23T01:30:35.8636546Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8636608Z { 2022-11-23T01:30:35.8636750Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8636842Z 'code': None, 2022-11-23T01:30:35.8637051Z 'obj_weakref': 2022-11-23T01:30:35.8637306Z 'guarded_class': 2022-11-23T01:30:35.8637369Z } 2022-11-23T01:30:35.8637432Z 2022-11-23T01:30:35.8637501Z - 2022-11-23T01:30:35.8637620Z local 'model' NN_MODULE 2022-11-23T01:30:35.8637669Z { 2022-11-23T01:30:35.8637801Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8637969Z 'code': ['___check_obj_id(model, 140534622012512)'], 2022-11-23T01:30:35.8638164Z 'obj_weakref': 2022-11-23T01:30:35.8638381Z 'guarded_class': 2022-11-23T01:30:35.8638444Z } 2022-11-23T01:30:35.8638506Z 2022-11-23T01:30:35.8638562Z - 2022-11-23T01:30:35.8638682Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8638744Z { 2022-11-23T01:30:35.8638879Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8639095Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8639237Z 'obj_weakref': None 2022-11-23T01:30:35.8639458Z 'guarded_class': 2022-11-23T01:30:35.8639508Z } 2022-11-23T01:30:35.8639570Z 2022-11-23T01:30:35.8639638Z - 2022-11-23T01:30:35.8639792Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8639855Z { 2022-11-23T01:30:35.8639971Z 'guard_types': None, 2022-11-23T01:30:35.8640169Z 'code': None, 2022-11-23T01:30:35.8640272Z 'obj_weakref': None 2022-11-23T01:30:35.8640392Z 'guarded_class': None 2022-11-23T01:30:35.8640459Z } 2022-11-23T01:30:35.8640522Z 2022-11-23T01:30:35.8640592Z - 2022-11-23T01:30:35.8640757Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8640844Z { 2022-11-23T01:30:35.8640963Z 'guard_types': None, 2022-11-23T01:30:35.8641068Z 'code': None, 2022-11-23T01:30:35.8641187Z 'obj_weakref': None 2022-11-23T01:30:35.8641307Z 'guarded_class': None 2022-11-23T01:30:35.8641370Z } 2022-11-23T01:30:35.8641432Z 2022-11-23T01:30:35.8641683Z [2022-11-23 01:25:34,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234 2022-11-23T01:30:35.8642051Z [2022-11-23 01:25:34,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:30:35.8642316Z [2022-11-23 01:25:34,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234 2022-11-23T01:30:35.8642553Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8642872Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8643090Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8643332Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8643601Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8643914Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8644246Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8644541Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8645042Z [2022-11-23 01:25:34,815] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8645138Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8645232Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8645365Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8645455Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8645545Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8645550Z 2022-11-23T01:30:35.8645641Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8645736Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8645810Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8645898Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8645990Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8646103Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8646156Z 2022-11-23T01:30:35.8646242Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8646317Z 24 RETURN_VALUE 2022-11-23T01:30:35.8646379Z 2022-11-23T01:30:35.8646384Z 2022-11-23T01:30:35.8646691Z [2022-11-23 01:25:34,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8646904Z [2022-11-23 01:25:34,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8647153Z [2022-11-23 01:25:34,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8647392Z [2022-11-23 01:25:34,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8647705Z [2022-11-23 01:25:34,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8647944Z [2022-11-23 01:25:34,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8648255Z [2022-11-23 01:25:34,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8648466Z [2022-11-23 01:25:34,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8648714Z [2022-11-23 01:25:34,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8648964Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8649229Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8649545Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8649927Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8650022Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8650115Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:30:35.8650203Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8650291Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8650379Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8650442Z 10 RETURN_VALUE 2022-11-23T01:30:35.8650504Z 2022-11-23T01:30:35.8650510Z 2022-11-23T01:30:35.8650726Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8651096Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:30:35.8651423Z [2022-11-23 01:25:34,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8651768Z [2022-11-23 01:25:34,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8652154Z [2022-11-23 01:25:34,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8652398Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8652781Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8653051Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8653351Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8653557Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8653803Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8654185Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8654427Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8654690Z [2022-11-23 01:25:34,828] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8654947Z [2022-11-23 01:25:34,829] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8655199Z [2022-11-23 01:25:34,842] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8655384Z [2022-11-23 01:25:34,843] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8655515Z __compiled_fn_242 .1998 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8655591Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8655684Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8655803Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8655911Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8655916Z 2022-11-23T01:30:35.8656242Z [2022-11-23 01:25:34,843] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8656337Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8656426Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8656498Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8656588Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8656671Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8656760Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8656834Z 12 RETURN_VALUE 2022-11-23T01:30:35.8656840Z 2022-11-23T01:30:35.8656899Z 2022-11-23T01:30:35.8657217Z [2022-11-23 01:25:34,843] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8657323Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_242) 2022-11-23T01:30:35.8657402Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8657491Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8657566Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8657655Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8657742Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8657816Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8657904Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8657981Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8658055Z 18 RETURN_VALUE 2022-11-23T01:30:35.8658060Z 2022-11-23T01:30:35.8658119Z 2022-11-23T01:30:35.8658299Z [2022-11-23 01:25:34,844] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8658369Z - 2022-11-23T01:30:35.8658487Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8658549Z { 2022-11-23T01:30:35.8658675Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8658859Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8658979Z 'obj_weakref': None 2022-11-23T01:30:35.8659232Z 'guarded_class': 2022-11-23T01:30:35.8659297Z } 2022-11-23T01:30:35.8659361Z 2022-11-23T01:30:35.8659429Z - 2022-11-23T01:30:35.8659540Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8659603Z { 2022-11-23T01:30:35.8659742Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8659847Z 'code': None, 2022-11-23T01:30:35.8660057Z 'obj_weakref': 2022-11-23T01:30:35.8660306Z 'guarded_class': 2022-11-23T01:30:35.8660368Z } 2022-11-23T01:30:35.8660418Z 2022-11-23T01:30:35.8660486Z - 2022-11-23T01:30:35.8660637Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8660698Z { 2022-11-23T01:30:35.8660839Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8660946Z 'code': None, 2022-11-23T01:30:35.8661155Z 'obj_weakref': 2022-11-23T01:30:35.8661393Z 'guarded_class': 2022-11-23T01:30:35.8661456Z } 2022-11-23T01:30:35.8661519Z 2022-11-23T01:30:35.8661589Z - 2022-11-23T01:30:35.8661706Z local 'model' NN_MODULE 2022-11-23T01:30:35.8661768Z { 2022-11-23T01:30:35.8661899Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8662052Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.8662254Z 'obj_weakref': 2022-11-23T01:30:35.8662470Z 'guarded_class': 2022-11-23T01:30:35.8662533Z } 2022-11-23T01:30:35.8662595Z 2022-11-23T01:30:35.8662666Z - 2022-11-23T01:30:35.8662787Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8662838Z { 2022-11-23T01:30:35.8662971Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8663186Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8663303Z 'obj_weakref': None 2022-11-23T01:30:35.8663524Z 'guarded_class': 2022-11-23T01:30:35.8663585Z } 2022-11-23T01:30:35.8663646Z 2022-11-23T01:30:35.8663701Z - 2022-11-23T01:30:35.8663837Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8663900Z { 2022-11-23T01:30:35.8664018Z 'guard_types': None, 2022-11-23T01:30:35.8664124Z 'code': None, 2022-11-23T01:30:35.8664240Z 'obj_weakref': None 2022-11-23T01:30:35.8664361Z 'guarded_class': None 2022-11-23T01:30:35.8664410Z } 2022-11-23T01:30:35.8664473Z 2022-11-23T01:30:35.8664541Z - 2022-11-23T01:30:35.8664693Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8664755Z { 2022-11-23T01:30:35.8664871Z 'guard_types': None, 2022-11-23T01:30:35.8664975Z 'code': None, 2022-11-23T01:30:35.8665076Z 'obj_weakref': None 2022-11-23T01:30:35.8665195Z 'guarded_class': None 2022-11-23T01:30:35.8665256Z } 2022-11-23T01:30:35.8665321Z 2022-11-23T01:30:35.8665388Z - 2022-11-23T01:30:35.8665552Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8665619Z { 2022-11-23T01:30:35.8665723Z 'guard_types': None, 2022-11-23T01:30:35.8665830Z 'code': None, 2022-11-23T01:30:35.8665946Z 'obj_weakref': None 2022-11-23T01:30:35.8666070Z 'guarded_class': None 2022-11-23T01:30:35.8666162Z } 2022-11-23T01:30:35.8666225Z 2022-11-23T01:30:35.8666473Z [2022-11-23 01:25:34,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235 2022-11-23T01:30:35.8666846Z [2022-11-23 01:25:34,859] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py 2022-11-23T01:30:35.8667109Z [2022-11-23 01:25:34,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235 2022-11-23T01:30:35.8667342Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8667654Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8667918Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8668161Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8668429Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8668742Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8669080Z [2022-11-23 01:25:34,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8669376Z [2022-11-23 01:25:34,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8669759Z [2022-11-23 01:25:34,864] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8669856Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8669952Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8670043Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8670130Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8670223Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8670229Z 2022-11-23T01:30:35.8670320Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8670414Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8670488Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8670574Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8670661Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8670751Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8670755Z 2022-11-23T01:30:35.8670841Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8670918Z 24 RETURN_VALUE 2022-11-23T01:30:35.8670981Z 2022-11-23T01:30:35.8670986Z 2022-11-23T01:30:35.8671285Z [2022-11-23 01:25:34,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8671496Z [2022-11-23 01:25:34,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8671744Z [2022-11-23 01:25:34,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8671985Z [2022-11-23 01:25:34,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8672260Z [2022-11-23 01:25:34,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8672501Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8672847Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8673059Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8673310Z [2022-11-23 01:25:34,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8673557Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8673821Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8674133Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8674545Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8674640Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8674733Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:30:35.8674822Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8674913Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8675002Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8675064Z 10 RETURN_VALUE 2022-11-23T01:30:35.8675126Z 2022-11-23T01:30:35.8675131Z 2022-11-23T01:30:35.8675348Z [2022-11-23 01:25:34,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8675713Z [2022-11-23 01:25:34,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:30:35.8676034Z [2022-11-23 01:25:34,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8676381Z [2022-11-23 01:25:34,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8676760Z [2022-11-23 01:25:34,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8677001Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8677382Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8677622Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8677940Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8678135Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8678382Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8678765Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8679011Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8679244Z [2022-11-23 01:25:34,870] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8679502Z [2022-11-23 01:25:34,871] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8679782Z [2022-11-23 01:25:34,881] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8679970Z [2022-11-23 01:25:34,881] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8680180Z __compiled_fn_243 .2009 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8680259Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8680345Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8680464Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8680572Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8680577Z 2022-11-23T01:30:35.8680903Z [2022-11-23 01:25:34,882] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8681036Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8681126Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8681213Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8681290Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8681375Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8681463Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8681539Z 12 RETURN_VALUE 2022-11-23T01:30:35.8681544Z 2022-11-23T01:30:35.8681605Z 2022-11-23T01:30:35.8681927Z [2022-11-23 01:25:34,882] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8682034Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_243) 2022-11-23T01:30:35.8682109Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8682200Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8682277Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8682362Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8682451Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8682526Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8682613Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8682700Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8682762Z 18 RETURN_VALUE 2022-11-23T01:30:35.8682767Z 2022-11-23T01:30:35.8682826Z 2022-11-23T01:30:35.8683011Z [2022-11-23 01:25:34,882] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8683080Z - 2022-11-23T01:30:35.8683197Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8683260Z { 2022-11-23T01:30:35.8683398Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8683569Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8683687Z 'obj_weakref': None 2022-11-23T01:30:35.8683912Z 'guarded_class': 2022-11-23T01:30:35.8683976Z } 2022-11-23T01:30:35.8684040Z 2022-11-23T01:30:35.8684108Z - 2022-11-23T01:30:35.8684230Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8684280Z { 2022-11-23T01:30:35.8684421Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8684526Z 'code': None, 2022-11-23T01:30:35.8684826Z 'obj_weakref': 2022-11-23T01:30:35.8685084Z 'guarded_class': 2022-11-23T01:30:35.8685147Z } 2022-11-23T01:30:35.8685209Z 2022-11-23T01:30:35.8685265Z - 2022-11-23T01:30:35.8685385Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8685451Z { 2022-11-23T01:30:35.8685595Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8685701Z 'code': None, 2022-11-23T01:30:35.8685957Z 'obj_weakref': 2022-11-23T01:30:35.8686209Z 'guarded_class': 2022-11-23T01:30:35.8686261Z } 2022-11-23T01:30:35.8686324Z 2022-11-23T01:30:35.8686392Z - 2022-11-23T01:30:35.8686511Z local 'model' NN_MODULE 2022-11-23T01:30:35.8686574Z { 2022-11-23T01:30:35.8686708Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8686874Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.8687062Z 'obj_weakref': 2022-11-23T01:30:35.8687278Z 'guarded_class': 2022-11-23T01:30:35.8687380Z } 2022-11-23T01:30:35.8687442Z 2022-11-23T01:30:35.8687513Z - 2022-11-23T01:30:35.8687634Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8687697Z { 2022-11-23T01:30:35.8687821Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8688036Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8688152Z 'obj_weakref': None 2022-11-23T01:30:35.8688372Z 'guarded_class': 2022-11-23T01:30:35.8688436Z } 2022-11-23T01:30:35.8688498Z 2022-11-23T01:30:35.8688565Z - 2022-11-23T01:30:35.8688684Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8688746Z { 2022-11-23T01:30:35.8688864Z 'guard_types': None, 2022-11-23T01:30:35.8688970Z 'code': None, 2022-11-23T01:30:35.8689085Z 'obj_weakref': None 2022-11-23T01:30:35.8689207Z 'guarded_class': None 2022-11-23T01:30:35.8689269Z } 2022-11-23T01:30:35.8689320Z 2022-11-23T01:30:35.8689388Z - 2022-11-23T01:30:35.8689546Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8689609Z { 2022-11-23T01:30:35.8689725Z 'guard_types': None, 2022-11-23T01:30:35.8689827Z 'code': None, 2022-11-23T01:30:35.8689930Z 'obj_weakref': None 2022-11-23T01:30:35.8690048Z 'guarded_class': None 2022-11-23T01:30:35.8690109Z } 2022-11-23T01:30:35.8690171Z 2022-11-23T01:30:35.8690238Z - 2022-11-23T01:30:35.8690404Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8690466Z { 2022-11-23T01:30:35.8690570Z 'guard_types': None, 2022-11-23T01:30:35.8690673Z 'code': None, 2022-11-23T01:30:35.8690788Z 'obj_weakref': None 2022-11-23T01:30:35.8690909Z 'guarded_class': None 2022-11-23T01:30:35.8690971Z } 2022-11-23T01:30:35.8691032Z 2022-11-23T01:30:35.8691294Z [2022-11-23 01:25:34,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236 2022-11-23T01:30:35.8691650Z [2022-11-23 01:25:34,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py 2022-11-23T01:30:35.8691914Z [2022-11-23 01:25:34,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236 2022-11-23T01:30:35.8692148Z [2022-11-23 01:25:34,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8692462Z [2022-11-23 01:25:34,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8692676Z [2022-11-23 01:25:34,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8692918Z [2022-11-23 01:25:34,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8693214Z [2022-11-23 01:25:34,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8693524Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8693858Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8694169Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8694537Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8694664Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8694760Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8694849Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8694938Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8695026Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8695031Z 2022-11-23T01:30:35.8695120Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8695214Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8695289Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8695375Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8695461Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8695548Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8695553Z 2022-11-23T01:30:35.8695636Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8695714Z 24 RETURN_VALUE 2022-11-23T01:30:35.8695774Z 2022-11-23T01:30:35.8695779Z 2022-11-23T01:30:35.8696094Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8696294Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8696540Z [2022-11-23 01:25:34,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8696775Z [2022-11-23 01:25:34,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8697046Z [2022-11-23 01:25:34,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8697280Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8697591Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8697803Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8698051Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8698297Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8698559Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8698871Z [2022-11-23 01:25:34,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8699250Z [2022-11-23 01:25:34,910] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8699346Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8699472Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:30:35.8699561Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8699648Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8699735Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8699809Z 10 RETURN_VALUE 2022-11-23T01:30:35.8699857Z 2022-11-23T01:30:35.8699862Z 2022-11-23T01:30:35.8700079Z [2022-11-23 01:25:34,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8700440Z [2022-11-23 01:25:34,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:30:35.8700759Z [2022-11-23 01:25:34,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8701148Z [2022-11-23 01:25:34,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8701526Z [2022-11-23 01:25:34,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8701771Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8702149Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8702386Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8702701Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8702899Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8703144Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8703528Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8703772Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8704005Z [2022-11-23 01:25:34,911] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8704258Z [2022-11-23 01:25:34,912] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8704506Z [2022-11-23 01:25:34,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8704694Z [2022-11-23 01:25:34,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8704829Z __compiled_fn_244 .2020 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8704906Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8704992Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8705115Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8705222Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8705227Z 2022-11-23T01:30:35.8705552Z [2022-11-23 01:25:34,925] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8705645Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8705736Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8705820Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8705899Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8706017Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8706106Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8706185Z 12 RETURN_VALUE 2022-11-23T01:30:35.8706189Z 2022-11-23T01:30:35.8706249Z 2022-11-23T01:30:35.8706571Z [2022-11-23 01:25:34,925] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8706677Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_244) 2022-11-23T01:30:35.8706764Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8706840Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8706916Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8707002Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8707122Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8707195Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8707283Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8707371Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8707432Z 18 RETURN_VALUE 2022-11-23T01:30:35.8707437Z 2022-11-23T01:30:35.8707496Z 2022-11-23T01:30:35.8707677Z [2022-11-23 01:25:34,926] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8707747Z - 2022-11-23T01:30:35.8707864Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8707926Z { 2022-11-23T01:30:35.8708064Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8708234Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8708351Z 'obj_weakref': None 2022-11-23T01:30:35.8708577Z 'guarded_class': 2022-11-23T01:30:35.8708646Z } 2022-11-23T01:30:35.8708707Z 2022-11-23T01:30:35.8708775Z - 2022-11-23T01:30:35.8708896Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8708948Z { 2022-11-23T01:30:35.8709088Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8709194Z 'code': None, 2022-11-23T01:30:35.8709404Z 'obj_weakref': 2022-11-23T01:30:35.8709656Z 'guarded_class': 2022-11-23T01:30:35.8709718Z } 2022-11-23T01:30:35.8709779Z 2022-11-23T01:30:35.8709835Z - 2022-11-23T01:30:35.8709957Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8710019Z { 2022-11-23T01:30:35.8710159Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8710263Z 'code': None, 2022-11-23T01:30:35.8710478Z 'obj_weakref': 2022-11-23T01:30:35.8710728Z 'guarded_class': 2022-11-23T01:30:35.8710779Z } 2022-11-23T01:30:35.8710842Z 2022-11-23T01:30:35.8710912Z - 2022-11-23T01:30:35.8711029Z local 'model' NN_MODULE 2022-11-23T01:30:35.8711091Z { 2022-11-23T01:30:35.8711221Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8711387Z 'code': ['___check_obj_id(model, 140534625132576)'], 2022-11-23T01:30:35.8711578Z 'obj_weakref': 2022-11-23T01:30:35.8711798Z 'guarded_class': 2022-11-23T01:30:35.8711860Z } 2022-11-23T01:30:35.8711922Z 2022-11-23T01:30:35.8711991Z - 2022-11-23T01:30:35.8712113Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8712179Z { 2022-11-23T01:30:35.8712302Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8712551Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8712671Z 'obj_weakref': None 2022-11-23T01:30:35.8712891Z 'guarded_class': 2022-11-23T01:30:35.8712954Z } 2022-11-23T01:30:35.8713017Z 2022-11-23T01:30:35.8713085Z - 2022-11-23T01:30:35.8713204Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8713270Z { 2022-11-23T01:30:35.8713388Z 'guard_types': None, 2022-11-23T01:30:35.8713494Z 'code': None, 2022-11-23T01:30:35.8713609Z 'obj_weakref': None 2022-11-23T01:30:35.8713728Z 'guarded_class': None 2022-11-23T01:30:35.8713791Z } 2022-11-23T01:30:35.8713880Z 2022-11-23T01:30:35.8713950Z - 2022-11-23T01:30:35.8714102Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8714168Z { 2022-11-23T01:30:35.8714286Z 'guard_types': None, 2022-11-23T01:30:35.8714389Z 'code': None, 2022-11-23T01:30:35.8714504Z 'obj_weakref': None 2022-11-23T01:30:35.8714610Z 'guarded_class': None 2022-11-23T01:30:35.8714673Z } 2022-11-23T01:30:35.8714735Z 2022-11-23T01:30:35.8714805Z - 2022-11-23T01:30:35.8714971Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8715034Z { 2022-11-23T01:30:35.8715138Z 'guard_types': None, 2022-11-23T01:30:35.8715242Z 'code': None, 2022-11-23T01:30:35.8715358Z 'obj_weakref': None 2022-11-23T01:30:35.8715479Z 'guarded_class': None 2022-11-23T01:30:35.8715540Z } 2022-11-23T01:30:35.8715603Z 2022-11-23T01:30:35.8715868Z [2022-11-23 01:25:34,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237 2022-11-23T01:30:35.8716223Z [2022-11-23 01:25:34,940] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py 2022-11-23T01:30:35.8716487Z [2022-11-23 01:25:34,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237 2022-11-23T01:30:35.8716724Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8717035Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8717255Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8717496Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8717765Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8718078Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8718411Z [2022-11-23 01:25:34,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8718723Z [2022-11-23 01:25:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8719109Z [2022-11-23 01:25:34,945] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8719191Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8719289Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8719379Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8719494Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8719585Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8719590Z 2022-11-23T01:30:35.8719681Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8719775Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8719863Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8719936Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8720099Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8720189Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8720194Z 2022-11-23T01:30:35.8720278Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8720353Z 24 RETURN_VALUE 2022-11-23T01:30:35.8720414Z 2022-11-23T01:30:35.8720479Z 2022-11-23T01:30:35.8720800Z [2022-11-23 01:25:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8721014Z [2022-11-23 01:25:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8721251Z [2022-11-23 01:25:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8721489Z [2022-11-23 01:25:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8721765Z [2022-11-23 01:25:34,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8722001Z [2022-11-23 01:25:34,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8722316Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8722531Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8722781Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8723029Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8723303Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8723602Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8723986Z [2022-11-23 01:25:34,948] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8724081Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.8724175Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:30:35.8724266Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8724357Z 6 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8724443Z 8 CALL_METHOD 2 2022-11-23T01:30:35.8724518Z 10 RETURN_VALUE 2022-11-23T01:30:35.8724566Z 2022-11-23T01:30:35.8724571Z 2022-11-23T01:30:35.8724876Z [2022-11-23 01:25:34,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.8725240Z [2022-11-23 01:25:34,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:30:35.8725559Z [2022-11-23 01:25:34,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.8725903Z [2022-11-23 01:25:34,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.8726332Z [2022-11-23 01:25:34,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8726582Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8726972Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 2022-11-23T01:30:35.8727208Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8727519Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8727763Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8727997Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8728381Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8728627Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8728861Z [2022-11-23 01:25:34,950] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8729114Z [2022-11-23 01:25:34,951] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8729364Z [2022-11-23 01:25:34,959] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8729556Z [2022-11-23 01:25:34,959] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8729692Z __compiled_fn_245 .2031 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8729780Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8729852Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8729974Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8730080Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8730085Z 2022-11-23T01:30:35.8730412Z [2022-11-23 01:25:34,960] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8730503Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8730591Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8730677Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8730768Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8730839Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8730926Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8731004Z 12 RETURN_VALUE 2022-11-23T01:30:35.8731009Z 2022-11-23T01:30:35.8731069Z 2022-11-23T01:30:35.8731389Z [2022-11-23 01:25:34,960] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8731496Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_245) 2022-11-23T01:30:35.8731584Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8731660Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8731737Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8731824Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8731911Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8731985Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8732073Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8732162Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8732224Z 18 RETURN_VALUE 2022-11-23T01:30:35.8732274Z 2022-11-23T01:30:35.8732324Z 2022-11-23T01:30:35.8732505Z [2022-11-23 01:25:34,960] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8732577Z - 2022-11-23T01:30:35.8732695Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8732759Z { 2022-11-23T01:30:35.8732897Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8733070Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8733187Z 'obj_weakref': None 2022-11-23T01:30:35.8733411Z 'guarded_class': 2022-11-23T01:30:35.8733476Z } 2022-11-23T01:30:35.8733538Z 2022-11-23T01:30:35.8733606Z - 2022-11-23T01:30:35.8733756Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8733807Z { 2022-11-23T01:30:35.8733947Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8734054Z 'code': None, 2022-11-23T01:30:35.8734264Z 'obj_weakref': 2022-11-23T01:30:35.8734513Z 'guarded_class': 2022-11-23T01:30:35.8734576Z } 2022-11-23T01:30:35.8734638Z 2022-11-23T01:30:35.8734706Z - 2022-11-23T01:30:35.8734815Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8734876Z { 2022-11-23T01:30:35.8735016Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8735122Z 'code': None, 2022-11-23T01:30:35.8735330Z 'obj_weakref': 2022-11-23T01:30:35.8735577Z 'guarded_class': 2022-11-23T01:30:35.8735642Z } 2022-11-23T01:30:35.8735692Z 2022-11-23T01:30:35.8735760Z - 2022-11-23T01:30:35.8735885Z local 'model' NN_MODULE 2022-11-23T01:30:35.8735948Z { 2022-11-23T01:30:35.8736080Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8736247Z 'code': ['___check_obj_id(model, 140534621331440)'], 2022-11-23T01:30:35.8736446Z 'obj_weakref': 2022-11-23T01:30:35.8736648Z 'guarded_class': 2022-11-23T01:30:35.8736712Z } 2022-11-23T01:30:35.8736777Z 2022-11-23T01:30:35.8736846Z - 2022-11-23T01:30:35.8736964Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8737026Z { 2022-11-23T01:30:35.8737147Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8737364Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8737482Z 'obj_weakref': None 2022-11-23T01:30:35.8737703Z 'guarded_class': 2022-11-23T01:30:35.8737766Z } 2022-11-23T01:30:35.8737827Z 2022-11-23T01:30:35.8737894Z - 2022-11-23T01:30:35.8738025Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.8738074Z { 2022-11-23T01:30:35.8738194Z 'guard_types': None, 2022-11-23T01:30:35.8738300Z 'code': None, 2022-11-23T01:30:35.8738415Z 'obj_weakref': None 2022-11-23T01:30:35.8738536Z 'guarded_class': None 2022-11-23T01:30:35.8738598Z } 2022-11-23T01:30:35.8738649Z 2022-11-23T01:30:35.8738717Z - 2022-11-23T01:30:35.8738870Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8738934Z { 2022-11-23T01:30:35.8739050Z 'guard_types': None, 2022-11-23T01:30:35.8739154Z 'code': None, 2022-11-23T01:30:35.8739295Z 'obj_weakref': None 2022-11-23T01:30:35.8739402Z 'guarded_class': None 2022-11-23T01:30:35.8739466Z } 2022-11-23T01:30:35.8739527Z 2022-11-23T01:30:35.8739595Z - 2022-11-23T01:30:35.8739762Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8739824Z { 2022-11-23T01:30:35.8739940Z 'guard_types': None, 2022-11-23T01:30:35.8740032Z 'code': None, 2022-11-23T01:30:35.8740147Z 'obj_weakref': None 2022-11-23T01:30:35.8740265Z 'guarded_class': None 2022-11-23T01:30:35.8740328Z } 2022-11-23T01:30:35.8740393Z 2022-11-23T01:30:35.8740652Z [2022-11-23 01:25:34,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238 2022-11-23T01:30:35.8741046Z [2022-11-23 01:25:34,975] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py 2022-11-23T01:30:35.8741300Z [2022-11-23 01:25:34,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238 2022-11-23T01:30:35.8741540Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8741850Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8742068Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8742309Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8742575Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8742891Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8743227Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8743538Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8743925Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8744005Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8744098Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8744185Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8744276Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8744365Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8744370Z 2022-11-23T01:30:35.8744461Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8744556Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8744643Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8744718Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8744804Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8744889Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8744894Z 2022-11-23T01:30:35.8744977Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8745053Z 24 RETURN_VALUE 2022-11-23T01:30:35.8745113Z 2022-11-23T01:30:35.8745118Z 2022-11-23T01:30:35.8745435Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8745648Z [2022-11-23 01:25:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8745919Z [2022-11-23 01:25:34,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8746161Z [2022-11-23 01:25:34,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8746434Z [2022-11-23 01:25:34,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8746671Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8746981Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8747189Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8747470Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8747720Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8747996Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8748308Z [2022-11-23 01:25:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8748676Z [2022-11-23 01:25:34,989] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8748767Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8748859Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:30:35.8748950Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8749035Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8749110Z 8 RETURN_VALUE 2022-11-23T01:30:35.8749191Z 2022-11-23T01:30:35.8749196Z 2022-11-23T01:30:35.8749401Z [2022-11-23 01:25:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8749627Z [2022-11-23 01:25:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:30:35.8749898Z [2022-11-23 01:25:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:30:35.8750203Z [2022-11-23 01:25:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:30:35.8750446Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8750828Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8751070Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8751381Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8751587Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8751833Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8752217Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8752449Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8752711Z [2022-11-23 01:25:34,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8752964Z [2022-11-23 01:25:34,991] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8753213Z [2022-11-23 01:25:35,005] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8753399Z [2022-11-23 01:25:35,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8753532Z __compiled_fn_246 .2042 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8753621Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8753706Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8753817Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8753924Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8753928Z 2022-11-23T01:30:35.8754283Z [2022-11-23 01:25:35,006] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8754382Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8754471Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8754557Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8754647Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8754730Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8754806Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8754882Z 12 RETURN_VALUE 2022-11-23T01:30:35.8754887Z 2022-11-23T01:30:35.8754946Z 2022-11-23T01:30:35.8755266Z [2022-11-23 01:25:35,006] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8755371Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_246) 2022-11-23T01:30:35.8755462Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8755549Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8755626Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8755702Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8755788Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8755864Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8755950Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8756038Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8756111Z 18 RETURN_VALUE 2022-11-23T01:30:35.8756116Z 2022-11-23T01:30:35.8756175Z 2022-11-23T01:30:35.8756342Z [2022-11-23 01:25:35,007] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8756411Z - 2022-11-23T01:30:35.8756527Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8756590Z { 2022-11-23T01:30:35.8756728Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8756916Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8757034Z 'obj_weakref': None 2022-11-23T01:30:35.8757246Z 'guarded_class': 2022-11-23T01:30:35.8757313Z } 2022-11-23T01:30:35.8757378Z 2022-11-23T01:30:35.8757451Z - 2022-11-23T01:30:35.8757574Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8757636Z { 2022-11-23T01:30:35.8757775Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8757868Z 'code': None, 2022-11-23T01:30:35.8758080Z 'obj_weakref': 2022-11-23T01:30:35.8758330Z 'guarded_class': 2022-11-23T01:30:35.8758394Z } 2022-11-23T01:30:35.8758458Z 2022-11-23T01:30:35.8758530Z - 2022-11-23T01:30:35.8758651Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8758702Z { 2022-11-23T01:30:35.8758843Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8758978Z 'code': None, 2022-11-23T01:30:35.8759190Z 'obj_weakref': 2022-11-23T01:30:35.8759440Z 'guarded_class': 2022-11-23T01:30:35.8759503Z } 2022-11-23T01:30:35.8759566Z 2022-11-23T01:30:35.8759621Z - 2022-11-23T01:30:35.8759741Z local 'model' NN_MODULE 2022-11-23T01:30:35.8759805Z { 2022-11-23T01:30:35.8759938Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8760200Z 'code': ['___check_obj_id(model, 140534621942256)'], 2022-11-23T01:30:35.8760406Z 'obj_weakref': 2022-11-23T01:30:35.8760669Z 'guarded_class': 2022-11-23T01:30:35.8760720Z } 2022-11-23T01:30:35.8760785Z 2022-11-23T01:30:35.8760854Z - 2022-11-23T01:30:35.8760976Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8761040Z { 2022-11-23T01:30:35.8761174Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8761391Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8761495Z 'obj_weakref': None 2022-11-23T01:30:35.8761718Z 'guarded_class': 2022-11-23T01:30:35.8761783Z } 2022-11-23T01:30:35.8761846Z 2022-11-23T01:30:35.8761915Z - 2022-11-23T01:30:35.8762068Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8762131Z { 2022-11-23T01:30:35.8762239Z 'guard_types': None, 2022-11-23T01:30:35.8762344Z 'code': None, 2022-11-23T01:30:35.8762460Z 'obj_weakref': None 2022-11-23T01:30:35.8762583Z 'guarded_class': None 2022-11-23T01:30:35.8762645Z } 2022-11-23T01:30:35.8762708Z 2022-11-23T01:30:35.8762776Z - 2022-11-23T01:30:35.8762929Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8762992Z { 2022-11-23T01:30:35.8763109Z 'guard_types': None, 2022-11-23T01:30:35.8763218Z 'code': None, 2022-11-23T01:30:35.8763334Z 'obj_weakref': None 2022-11-23T01:30:35.8763453Z 'guarded_class': None 2022-11-23T01:30:35.8763504Z } 2022-11-23T01:30:35.8763566Z 2022-11-23T01:30:35.8763825Z [2022-11-23 01:25:35,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239 2022-11-23T01:30:35.8764191Z [2022-11-23 01:25:35,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py 2022-11-23T01:30:35.8764458Z [2022-11-23 01:25:35,020] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239 2022-11-23T01:30:35.8764693Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8765109Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8765326Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8765565Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8765818Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8766134Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8766519Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8766835Z [2022-11-23 01:25:35,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8767218Z [2022-11-23 01:25:35,025] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8767312Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8767408Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8767496Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8767585Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8767703Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8767722Z 2022-11-23T01:30:35.8767802Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8767897Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8767984Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8768073Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8768159Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8768246Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8768250Z 2022-11-23T01:30:35.8768333Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8768396Z 24 RETURN_VALUE 2022-11-23T01:30:35.8768458Z 2022-11-23T01:30:35.8768462Z 2022-11-23T01:30:35.8768777Z [2022-11-23 01:25:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8768992Z [2022-11-23 01:25:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8769244Z [2022-11-23 01:25:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8769486Z [2022-11-23 01:25:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8769764Z [2022-11-23 01:25:35,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8770002Z [2022-11-23 01:25:35,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8770314Z [2022-11-23 01:25:35,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8770512Z [2022-11-23 01:25:35,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8770761Z [2022-11-23 01:25:35,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8771018Z [2022-11-23 01:25:35,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8771294Z [2022-11-23 01:25:35,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8771608Z [2022-11-23 01:25:35,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8771986Z [2022-11-23 01:25:35,029] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8772074Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8772166Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:30:35.8772253Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8772330Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8772406Z 8 RETURN_VALUE 2022-11-23T01:30:35.8772466Z 2022-11-23T01:30:35.8772471Z 2022-11-23T01:30:35.8772707Z [2022-11-23 01:25:35,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8772948Z [2022-11-23 01:25:35,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:30:35.8773219Z [2022-11-23 01:25:35,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:30:35.8773526Z [2022-11-23 01:25:35,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:30:35.8773770Z [2022-11-23 01:25:35,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8774156Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8774416Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8774731Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8774934Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8775178Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8775563Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8775806Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8776041Z [2022-11-23 01:25:35,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8776296Z [2022-11-23 01:25:35,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8776546Z [2022-11-23 01:25:35,044] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8776730Z [2022-11-23 01:25:35,044] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8776853Z __compiled_fn_247 .2053 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8776941Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8777029Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8777149Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8777255Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8777260Z 2022-11-23T01:30:35.8777581Z [2022-11-23 01:25:35,045] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8777676Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8777766Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8777839Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8777928Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8778012Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8778099Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8778174Z 12 RETURN_VALUE 2022-11-23T01:30:35.8778179Z 2022-11-23T01:30:35.8778237Z 2022-11-23T01:30:35.8778553Z [2022-11-23 01:25:35,045] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8778648Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_247) 2022-11-23T01:30:35.8778738Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8778828Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8778904Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8779021Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8779109Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8779183Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8779258Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8779347Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8779420Z 18 RETURN_VALUE 2022-11-23T01:30:35.8779424Z 2022-11-23T01:30:35.8779484Z 2022-11-23T01:30:35.8779664Z [2022-11-23 01:25:35,047] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8779735Z - 2022-11-23T01:30:35.8779851Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8779905Z { 2022-11-23T01:30:35.8780045Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8780229Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8780377Z 'obj_weakref': None 2022-11-23T01:30:35.8780602Z 'guarded_class': 2022-11-23T01:30:35.8780668Z } 2022-11-23T01:30:35.8780729Z 2022-11-23T01:30:35.8780797Z - 2022-11-23T01:30:35.8780907Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8780969Z { 2022-11-23T01:30:35.8781108Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8781213Z 'code': None, 2022-11-23T01:30:35.8781420Z 'obj_weakref': 2022-11-23T01:30:35.8781670Z 'guarded_class': 2022-11-23T01:30:35.8781733Z } 2022-11-23T01:30:35.8781784Z 2022-11-23T01:30:35.8781852Z - 2022-11-23T01:30:35.8781973Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8782042Z { 2022-11-23T01:30:35.8782180Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8782286Z 'code': None, 2022-11-23T01:30:35.8782496Z 'obj_weakref': 2022-11-23T01:30:35.8782736Z 'guarded_class': 2022-11-23T01:30:35.8782798Z } 2022-11-23T01:30:35.8782860Z 2022-11-23T01:30:35.8782931Z - 2022-11-23T01:30:35.8783066Z local 'model' NN_MODULE 2022-11-23T01:30:35.8783128Z { 2022-11-23T01:30:35.8783248Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8783413Z 'code': ['___check_obj_id(model, 140534621944416)'], 2022-11-23T01:30:35.8783614Z 'obj_weakref': 2022-11-23T01:30:35.8783829Z 'guarded_class': 2022-11-23T01:30:35.8783895Z } 2022-11-23T01:30:35.8783957Z 2022-11-23T01:30:35.8784026Z - 2022-11-23T01:30:35.8784148Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8784199Z { 2022-11-23T01:30:35.8784332Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8784549Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8784664Z 'obj_weakref': None 2022-11-23T01:30:35.8784885Z 'guarded_class': 2022-11-23T01:30:35.8784946Z } 2022-11-23T01:30:35.8785009Z 2022-11-23T01:30:35.8785065Z - 2022-11-23T01:30:35.8785218Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8785280Z { 2022-11-23T01:30:35.8785397Z 'guard_types': None, 2022-11-23T01:30:35.8785504Z 'code': None, 2022-11-23T01:30:35.8785618Z 'obj_weakref': None 2022-11-23T01:30:35.8785737Z 'guarded_class': None 2022-11-23T01:30:35.8785816Z } 2022-11-23T01:30:35.8785880Z 2022-11-23T01:30:35.8785947Z - 2022-11-23T01:30:35.8786113Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8786175Z { 2022-11-23T01:30:35.8786293Z 'guard_types': None, 2022-11-23T01:30:35.8786384Z 'code': None, 2022-11-23T01:30:35.8786500Z 'obj_weakref': None 2022-11-23T01:30:35.8786618Z 'guarded_class': None 2022-11-23T01:30:35.8786680Z } 2022-11-23T01:30:35.8786745Z 2022-11-23T01:30:35.8787002Z [2022-11-23 01:25:35,065] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240 2022-11-23T01:30:35.8787008Z 2022-11-23T01:30:35.8787100Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8787189Z import torch 2022-11-23T01:30:35.8787258Z import random 2022-11-23T01:30:35.8787371Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8787494Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8787499Z 2022-11-23T01:30:35.8787576Z aten = torch.ops.aten 2022-11-23T01:30:35.8787709Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8787799Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8787804Z 2022-11-23T01:30:35.8787808Z 2022-11-23T01:30:35.8787894Z async_compile.wait(globals()) 2022-11-23T01:30:35.8787954Z del async_compile 2022-11-23T01:30:35.8787970Z 2022-11-23T01:30:35.8788027Z def call(args): 2022-11-23T01:30:35.8788116Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8788189Z args.clear() 2022-11-23T01:30:35.8788414Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:30:35.8788481Z del arg0_1 2022-11-23T01:30:35.8788545Z del arg1_1 2022-11-23T01:30:35.8788601Z del arg2_1 2022-11-23T01:30:35.8788666Z del arg3_1 2022-11-23T01:30:35.8788736Z return (buf0, ) 2022-11-23T01:30:35.8788740Z 2022-11-23T01:30:35.8788744Z 2022-11-23T01:30:35.8788823Z if __name__ == "__main__": 2022-11-23T01:30:35.8788937Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8789058Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8789259Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8789457Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8789642Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8789835Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8789961Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8789966Z 2022-11-23T01:30:35.8789970Z 2022-11-23T01:30:35.8790066Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8790133Z import torch 2022-11-23T01:30:35.8790202Z import random 2022-11-23T01:30:35.8790317Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8790435Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8790440Z 2022-11-23T01:30:35.8790504Z aten = torch.ops.aten 2022-11-23T01:30:35.8790636Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8790725Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8790729Z 2022-11-23T01:30:35.8790733Z 2022-11-23T01:30:35.8790818Z async_compile.wait(globals()) 2022-11-23T01:30:35.8790890Z del async_compile 2022-11-23T01:30:35.8790894Z 2022-11-23T01:30:35.8790963Z def call(args): 2022-11-23T01:30:35.8791043Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8791113Z args.clear() 2022-11-23T01:30:35.8791324Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:30:35.8791393Z del arg0_1 2022-11-23T01:30:35.8791461Z del arg1_1 2022-11-23T01:30:35.8791527Z del arg2_1 2022-11-23T01:30:35.8791596Z return (buf0, ) 2022-11-23T01:30:35.8791601Z 2022-11-23T01:30:35.8791636Z 2022-11-23T01:30:35.8791713Z if __name__ == "__main__": 2022-11-23T01:30:35.8791823Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8791931Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8792132Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8792327Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8792519Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8792639Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8792644Z 2022-11-23T01:30:35.8792648Z 2022-11-23T01:30:35.8792739Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8792807Z import torch 2022-11-23T01:30:35.8792905Z import random 2022-11-23T01:30:35.8793006Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8793127Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8793132Z 2022-11-23T01:30:35.8793208Z aten = torch.ops.aten 2022-11-23T01:30:35.8793342Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8793431Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8793436Z 2022-11-23T01:30:35.8793440Z 2022-11-23T01:30:35.8793525Z async_compile.wait(globals()) 2022-11-23T01:30:35.8793598Z del async_compile 2022-11-23T01:30:35.8793603Z 2022-11-23T01:30:35.8793671Z def call(args): 2022-11-23T01:30:35.8793745Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8793816Z args.clear() 2022-11-23T01:30:35.8794042Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:30:35.8794111Z del arg0_1 2022-11-23T01:30:35.8794178Z del arg1_1 2022-11-23T01:30:35.8794246Z del arg2_1 2022-11-23T01:30:35.8794309Z del arg3_1 2022-11-23T01:30:35.8794368Z return (buf0, ) 2022-11-23T01:30:35.8794372Z 2022-11-23T01:30:35.8794389Z 2022-11-23T01:30:35.8794453Z if __name__ == "__main__": 2022-11-23T01:30:35.8794565Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8794688Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8794885Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8795079Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8795280Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8795481Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8795595Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8795613Z 2022-11-23T01:30:35.8795618Z 2022-11-23T01:30:35.8795701Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8795769Z import torch 2022-11-23T01:30:35.8795837Z import random 2022-11-23T01:30:35.8795953Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8796070Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8796075Z 2022-11-23T01:30:35.8796151Z aten = torch.ops.aten 2022-11-23T01:30:35.8796281Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8796358Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8796363Z 2022-11-23T01:30:35.8796380Z 2022-11-23T01:30:35.8796454Z async_compile.wait(globals()) 2022-11-23T01:30:35.8796525Z del async_compile 2022-11-23T01:30:35.8796530Z 2022-11-23T01:30:35.8796600Z def call(args): 2022-11-23T01:30:35.8796681Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8796751Z args.clear() 2022-11-23T01:30:35.8796974Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:30:35.8797044Z del arg0_1 2022-11-23T01:30:35.8797099Z del arg1_1 2022-11-23T01:30:35.8797164Z del arg2_1 2022-11-23T01:30:35.8797237Z return (buf0, ) 2022-11-23T01:30:35.8797241Z 2022-11-23T01:30:35.8797272Z 2022-11-23T01:30:35.8797348Z if __name__ == "__main__": 2022-11-23T01:30:35.8797462Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8797583Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8797782Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8797972Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8798175Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8798299Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8798304Z 2022-11-23T01:30:35.8798307Z 2022-11-23T01:30:35.8798401Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8798499Z import torch 2022-11-23T01:30:35.8798568Z import random 2022-11-23T01:30:35.8798680Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8798801Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8798805Z 2022-11-23T01:30:35.8798869Z aten = torch.ops.aten 2022-11-23T01:30:35.8798999Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8799089Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8799094Z 2022-11-23T01:30:35.8799098Z 2022-11-23T01:30:35.8799187Z async_compile.wait(globals()) 2022-11-23T01:30:35.8799258Z del async_compile 2022-11-23T01:30:35.8799263Z 2022-11-23T01:30:35.8799332Z def call(args): 2022-11-23T01:30:35.8799420Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8799490Z args.clear() 2022-11-23T01:30:35.8799702Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:30:35.8799771Z del arg0_1 2022-11-23T01:30:35.8799837Z del arg1_1 2022-11-23T01:30:35.8799905Z del arg2_1 2022-11-23T01:30:35.8799970Z del arg3_1 2022-11-23T01:30:35.8800115Z return (buf0, ) 2022-11-23T01:30:35.8800121Z 2022-11-23T01:30:35.8800125Z 2022-11-23T01:30:35.8800205Z if __name__ == "__main__": 2022-11-23T01:30:35.8800306Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8800427Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8800628Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8800821Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8801018Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8801211Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8801338Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8801343Z 2022-11-23T01:30:35.8801347Z 2022-11-23T01:30:35.8801442Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8801511Z import torch 2022-11-23T01:30:35.8801567Z import random 2022-11-23T01:30:35.8801681Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8801800Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8801805Z 2022-11-23T01:30:35.8801881Z aten = torch.ops.aten 2022-11-23T01:30:35.8802013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8802103Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8802108Z 2022-11-23T01:30:35.8802112Z 2022-11-23T01:30:35.8802199Z async_compile.wait(globals()) 2022-11-23T01:30:35.8802258Z del async_compile 2022-11-23T01:30:35.8802275Z 2022-11-23T01:30:35.8802331Z def call(args): 2022-11-23T01:30:35.8802409Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8802481Z args.clear() 2022-11-23T01:30:35.8802705Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:30:35.8802776Z del arg0_1 2022-11-23T01:30:35.8802842Z del arg1_1 2022-11-23T01:30:35.8802895Z del arg2_1 2022-11-23T01:30:35.8802965Z return (buf0, ) 2022-11-23T01:30:35.8802970Z 2022-11-23T01:30:35.8803018Z 2022-11-23T01:30:35.8803096Z if __name__ == "__main__": 2022-11-23T01:30:35.8803206Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8803328Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8803525Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8803722Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8803916Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8804023Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8804040Z 2022-11-23T01:30:35.8804044Z 2022-11-23T01:30:35.8804124Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8804193Z import torch 2022-11-23T01:30:35.8804304Z import random 2022-11-23T01:30:35.8804419Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8804537Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8804544Z 2022-11-23T01:30:35.8804622Z aten = torch.ops.aten 2022-11-23T01:30:35.8804876Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8804956Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8804975Z 2022-11-23T01:30:35.8804979Z 2022-11-23T01:30:35.8805053Z async_compile.wait(globals()) 2022-11-23T01:30:35.8805125Z del async_compile 2022-11-23T01:30:35.8805130Z 2022-11-23T01:30:35.8805199Z def call(args): 2022-11-23T01:30:35.8805287Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8805359Z args.clear() 2022-11-23T01:30:35.8805588Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:30:35.8805655Z del arg0_1 2022-11-23T01:30:35.8805708Z del arg1_1 2022-11-23T01:30:35.8805778Z del arg2_1 2022-11-23T01:30:35.8805844Z del arg3_1 2022-11-23T01:30:35.8805914Z return (buf0, ) 2022-11-23T01:30:35.8805919Z 2022-11-23T01:30:35.8805922Z 2022-11-23T01:30:35.8805999Z if __name__ == "__main__": 2022-11-23T01:30:35.8806111Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8806233Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8806417Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8806610Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8806814Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8807018Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8807146Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8807151Z 2022-11-23T01:30:35.8807529Z [2022-11-23 01:25:35,068] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py 2022-11-23T01:30:35.8807801Z [2022-11-23 01:25:35,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240 2022-11-23T01:30:35.8808038Z [2022-11-23 01:25:35,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8808351Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8808566Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8808794Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8809060Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8809373Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8809854Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8810175Z [2022-11-23 01:25:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8810560Z [2022-11-23 01:25:35,076] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8810654Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8810750Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8810839Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8810954Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8811044Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8811050Z 2022-11-23T01:30:35.8811141Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8811235Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8811323Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8811407Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8811494Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8811582Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8811587Z 2022-11-23T01:30:35.8811659Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8811733Z 24 RETURN_VALUE 2022-11-23T01:30:35.8811793Z 2022-11-23T01:30:35.8811798Z 2022-11-23T01:30:35.8812114Z [2022-11-23 01:25:35,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8812330Z [2022-11-23 01:25:35,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8812581Z [2022-11-23 01:25:35,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8812821Z [2022-11-23 01:25:35,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8813095Z [2022-11-23 01:25:35,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8813317Z [2022-11-23 01:25:35,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8813627Z [2022-11-23 01:25:35,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8813836Z [2022-11-23 01:25:35,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8814085Z [2022-11-23 01:25:35,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8814337Z [2022-11-23 01:25:35,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8814613Z [2022-11-23 01:25:35,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8814925Z [2022-11-23 01:25:35,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8815304Z [2022-11-23 01:25:35,092] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8815393Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8815486Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:30:35.8815563Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8815654Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8815729Z 8 RETURN_VALUE 2022-11-23T01:30:35.8815789Z 2022-11-23T01:30:35.8815794Z 2022-11-23T01:30:35.8816029Z [2022-11-23 01:25:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8816272Z [2022-11-23 01:25:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:30:35.8816543Z [2022-11-23 01:25:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:30:35.8816850Z [2022-11-23 01:25:35,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:30:35.8817083Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8817468Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8817737Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8818048Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8818254Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8818499Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8818886Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8819132Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8819367Z [2022-11-23 01:25:35,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8819621Z [2022-11-23 01:25:35,097] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8819856Z [2022-11-23 01:25:35,117] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8820043Z [2022-11-23 01:25:35,117] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8820176Z __compiled_fn_248 .2064 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8820266Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8820352Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8820473Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8820580Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8820586Z 2022-11-23T01:30:35.8820912Z [2022-11-23 01:25:35,118] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8820996Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8821086Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8821169Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8821263Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8821346Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8821432Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8821506Z 12 RETURN_VALUE 2022-11-23T01:30:35.8821511Z 2022-11-23T01:30:35.8821570Z 2022-11-23T01:30:35.8821879Z [2022-11-23 01:25:35,118] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8821985Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_248) 2022-11-23T01:30:35.8822073Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8822163Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8822238Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8822395Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8822482Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8822543Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8822631Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8822719Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8822791Z 18 RETURN_VALUE 2022-11-23T01:30:35.8822796Z 2022-11-23T01:30:35.8822856Z 2022-11-23T01:30:35.8823037Z [2022-11-23 01:25:35,119] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8823106Z - 2022-11-23T01:30:35.8823212Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8823277Z { 2022-11-23T01:30:35.8823417Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8823601Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8823748Z 'obj_weakref': None 2022-11-23T01:30:35.8823975Z 'guarded_class': 2022-11-23T01:30:35.8824039Z } 2022-11-23T01:30:35.8824089Z 2022-11-23T01:30:35.8824158Z - 2022-11-23T01:30:35.8824281Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8824344Z { 2022-11-23T01:30:35.8824485Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8824589Z 'code': None, 2022-11-23T01:30:35.8824796Z 'obj_weakref': 2022-11-23T01:30:35.8825044Z 'guarded_class': 2022-11-23T01:30:35.8825095Z } 2022-11-23T01:30:35.8825158Z 2022-11-23T01:30:35.8825227Z - 2022-11-23T01:30:35.8825351Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8825413Z { 2022-11-23T01:30:35.8825553Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8825647Z 'code': None, 2022-11-23T01:30:35.8825855Z 'obj_weakref': 2022-11-23T01:30:35.8826103Z 'guarded_class': 2022-11-23T01:30:35.8826166Z } 2022-11-23T01:30:35.8826228Z 2022-11-23T01:30:35.8826296Z - 2022-11-23T01:30:35.8826414Z local 'model' NN_MODULE 2022-11-23T01:30:35.8826465Z { 2022-11-23T01:30:35.8826597Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8826764Z 'code': ['___check_obj_id(model, 140534621936832)'], 2022-11-23T01:30:35.8826965Z 'obj_weakref': 2022-11-23T01:30:35.8827184Z 'guarded_class': 2022-11-23T01:30:35.8827248Z } 2022-11-23T01:30:35.8827309Z 2022-11-23T01:30:35.8827378Z - 2022-11-23T01:30:35.8827487Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8827548Z { 2022-11-23T01:30:35.8827684Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8827899Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8828016Z 'obj_weakref': None 2022-11-23T01:30:35.8828238Z 'guarded_class': 2022-11-23T01:30:35.8828300Z } 2022-11-23T01:30:35.8828350Z 2022-11-23T01:30:35.8828417Z - 2022-11-23T01:30:35.8828571Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8828635Z { 2022-11-23T01:30:35.8828751Z 'guard_types': None, 2022-11-23T01:30:35.8828858Z 'code': None, 2022-11-23T01:30:35.8828961Z 'obj_weakref': None 2022-11-23T01:30:35.8829080Z 'guarded_class': None 2022-11-23T01:30:35.8829171Z } 2022-11-23T01:30:35.8829234Z 2022-11-23T01:30:35.8829303Z - 2022-11-23T01:30:35.8829469Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8829532Z { 2022-11-23T01:30:35.8829636Z 'guard_types': None, 2022-11-23T01:30:35.8829739Z 'code': None, 2022-11-23T01:30:35.8829855Z 'obj_weakref': None 2022-11-23T01:30:35.8829974Z 'guarded_class': None 2022-11-23T01:30:35.8830036Z } 2022-11-23T01:30:35.8830097Z 2022-11-23T01:30:35.8830355Z [2022-11-23 01:25:35,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241 2022-11-23T01:30:35.8830707Z [2022-11-23 01:25:35,134] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py 2022-11-23T01:30:35.8831001Z [2022-11-23 01:25:35,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241 2022-11-23T01:30:35.8831237Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8831547Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8831762Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8832004Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8832271Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8832582Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8832921Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8833231Z [2022-11-23 01:25:35,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8833600Z [2022-11-23 01:25:35,139] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8833694Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8833786Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8833876Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8833963Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8834054Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8834059Z 2022-11-23T01:30:35.8834148Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8834244Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8834319Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8834404Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8834490Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8834577Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8834581Z 2022-11-23T01:30:35.8834666Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8834741Z 24 RETURN_VALUE 2022-11-23T01:30:35.8834800Z 2022-11-23T01:30:35.8834805Z 2022-11-23T01:30:35.8835119Z [2022-11-23 01:25:35,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8835316Z [2022-11-23 01:25:35,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8835569Z [2022-11-23 01:25:35,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8835835Z [2022-11-23 01:25:35,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8836111Z [2022-11-23 01:25:35,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8836346Z [2022-11-23 01:25:35,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8836658Z [2022-11-23 01:25:35,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8836868Z [2022-11-23 01:25:35,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8837115Z [2022-11-23 01:25:35,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8837392Z [2022-11-23 01:25:35,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8837666Z [2022-11-23 01:25:35,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8837967Z [2022-11-23 01:25:35,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8838348Z [2022-11-23 01:25:35,142] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8838438Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8838531Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:30:35.8838619Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8838705Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8838781Z 8 RETURN_VALUE 2022-11-23T01:30:35.8838846Z 2022-11-23T01:30:35.8838851Z 2022-11-23T01:30:35.8839047Z [2022-11-23 01:25:35,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8839287Z [2022-11-23 01:25:35,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:30:35.8839561Z [2022-11-23 01:25:35,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:30:35.8839865Z [2022-11-23 01:25:35,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:30:35.8840189Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8840579Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 2022-11-23T01:30:35.8840820Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8841131Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8841338Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8841583Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8841956Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8842201Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8842437Z [2022-11-23 01:25:35,144] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8842724Z [2022-11-23 01:25:35,145] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8842975Z [2022-11-23 01:25:35,153] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8843162Z [2022-11-23 01:25:35,154] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8843297Z __compiled_fn_249 .2075 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8843386Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8843460Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8843581Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8843688Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8843692Z 2022-11-23T01:30:35.8844016Z [2022-11-23 01:25:35,154] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8844143Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8844234Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8844319Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8844410Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8844481Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8844568Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8844642Z 12 RETURN_VALUE 2022-11-23T01:30:35.8844646Z 2022-11-23T01:30:35.8844707Z 2022-11-23T01:30:35.8845128Z [2022-11-23 01:25:35,154] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8845236Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_249) 2022-11-23T01:30:35.8845325Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8845417Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8845480Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8845567Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8845656Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8845731Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8845820Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8845911Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8845985Z 18 RETURN_VALUE 2022-11-23T01:30:35.8845990Z 2022-11-23T01:30:35.8846037Z 2022-11-23T01:30:35.8846219Z [2022-11-23 01:25:35,155] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8846290Z - 2022-11-23T01:30:35.8846407Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8846472Z { 2022-11-23T01:30:35.8846613Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8846799Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8846908Z 'obj_weakref': None 2022-11-23T01:30:35.8847132Z 'guarded_class': 2022-11-23T01:30:35.8847198Z } 2022-11-23T01:30:35.8847262Z 2022-11-23T01:30:35.8847332Z - 2022-11-23T01:30:35.8847453Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8847517Z { 2022-11-23T01:30:35.8847646Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8847752Z 'code': None, 2022-11-23T01:30:35.8847963Z 'obj_weakref': 2022-11-23T01:30:35.8848213Z 'guarded_class': 2022-11-23T01:30:35.8848277Z } 2022-11-23T01:30:35.8848339Z 2022-11-23T01:30:35.8848408Z - 2022-11-23T01:30:35.8848517Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8848584Z { 2022-11-23T01:30:35.8848725Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8848832Z 'code': None, 2022-11-23T01:30:35.8849086Z 'obj_weakref': 2022-11-23T01:30:35.8849340Z 'guarded_class': 2022-11-23T01:30:35.8849403Z } 2022-11-23T01:30:35.8849454Z 2022-11-23T01:30:35.8849522Z - 2022-11-23T01:30:35.8849641Z local 'model' NN_MODULE 2022-11-23T01:30:35.8849705Z { 2022-11-23T01:30:35.8849839Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8850007Z 'code': ['___check_obj_id(model, 140534642487168)'], 2022-11-23T01:30:35.8850212Z 'obj_weakref': 2022-11-23T01:30:35.8850416Z 'guarded_class': 2022-11-23T01:30:35.8850528Z } 2022-11-23T01:30:35.8850590Z 2022-11-23T01:30:35.8850661Z - 2022-11-23T01:30:35.8850785Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8850848Z { 2022-11-23T01:30:35.8850982Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8851185Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8851302Z 'obj_weakref': None 2022-11-23T01:30:35.8851523Z 'guarded_class': 2022-11-23T01:30:35.8851588Z } 2022-11-23T01:30:35.8851655Z 2022-11-23T01:30:35.8851722Z - 2022-11-23T01:30:35.8851874Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8851925Z { 2022-11-23T01:30:35.8852043Z 'guard_types': None, 2022-11-23T01:30:35.8852147Z 'code': None, 2022-11-23T01:30:35.8852267Z 'obj_weakref': None 2022-11-23T01:30:35.8852387Z 'guarded_class': None 2022-11-23T01:30:35.8852450Z } 2022-11-23T01:30:35.8852514Z 2022-11-23T01:30:35.8852572Z - 2022-11-23T01:30:35.8852741Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8852804Z { 2022-11-23T01:30:35.8852920Z 'guard_types': None, 2022-11-23T01:30:35.8853024Z 'code': None, 2022-11-23T01:30:35.8853139Z 'obj_weakref': None 2022-11-23T01:30:35.8853257Z 'guarded_class': None 2022-11-23T01:30:35.8853306Z } 2022-11-23T01:30:35.8853367Z 2022-11-23T01:30:35.8853626Z [2022-11-23 01:25:35,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242 2022-11-23T01:30:35.8853991Z [2022-11-23 01:25:35,167] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py 2022-11-23T01:30:35.8854255Z [2022-11-23 01:25:35,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242 2022-11-23T01:30:35.8854492Z [2022-11-23 01:25:35,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8854803Z [2022-11-23 01:25:35,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8855019Z [2022-11-23 01:25:35,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8855248Z [2022-11-23 01:25:35,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8855517Z [2022-11-23 01:25:35,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8855829Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8856197Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8856510Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8856891Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8856983Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8857077Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8857165Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8857252Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8857329Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8857363Z 2022-11-23T01:30:35.8857454Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8857549Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8857638Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8857724Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8857810Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8857896Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8857900Z 2022-11-23T01:30:35.8857971Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8858046Z 24 RETURN_VALUE 2022-11-23T01:30:35.8858106Z 2022-11-23T01:30:35.8858111Z 2022-11-23T01:30:35.8858425Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8858636Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8858883Z [2022-11-23 01:25:35,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8859123Z [2022-11-23 01:25:35,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8859398Z [2022-11-23 01:25:35,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8859634Z [2022-11-23 01:25:35,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8859932Z [2022-11-23 01:25:35,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8860141Z [2022-11-23 01:25:35,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8860389Z [2022-11-23 01:25:35,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8860640Z [2022-11-23 01:25:35,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8860918Z [2022-11-23 01:25:35,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8861230Z [2022-11-23 01:25:35,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8861609Z [2022-11-23 01:25:35,180] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8861698Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8861789Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:30:35.8861866Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8861951Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8862027Z 8 RETURN_VALUE 2022-11-23T01:30:35.8862088Z 2022-11-23T01:30:35.8862093Z 2022-11-23T01:30:35.8862301Z [2022-11-23 01:25:35,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8862564Z [2022-11-23 01:25:35,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:30:35.8862838Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:30:35.8863145Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:30:35.8863388Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8863757Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8864026Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8864339Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8864545Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8864787Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8865173Z [2022-11-23 01:25:35,181] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8865418Z [2022-11-23 01:25:35,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8865648Z [2022-11-23 01:25:35,182] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8865901Z [2022-11-23 01:25:35,182] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8866152Z [2022-11-23 01:25:35,193] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8866327Z [2022-11-23 01:25:35,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8866460Z __compiled_fn_250 .2086 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8866548Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8866634Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8866754Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8866861Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8866866Z 2022-11-23T01:30:35.8867186Z [2022-11-23 01:25:35,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8867281Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8867357Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8867445Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8867536Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8867620Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8867712Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8867786Z 12 RETURN_VALUE 2022-11-23T01:30:35.8867791Z 2022-11-23T01:30:35.8867850Z 2022-11-23T01:30:35.8868156Z [2022-11-23 01:25:35,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8868262Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_250) 2022-11-23T01:30:35.8868350Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8868438Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8868515Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8868602Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8868715Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8868790Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8868866Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8868955Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8869028Z 18 RETURN_VALUE 2022-11-23T01:30:35.8869034Z 2022-11-23T01:30:35.8869094Z 2022-11-23T01:30:35.8869274Z [2022-11-23 01:25:35,194] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8869344Z - 2022-11-23T01:30:35.8869461Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8869512Z { 2022-11-23T01:30:35.8869650Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8869833Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8869953Z 'obj_weakref': None 2022-11-23T01:30:35.8870208Z 'guarded_class': 2022-11-23T01:30:35.8870271Z } 2022-11-23T01:30:35.8870335Z 2022-11-23T01:30:35.8870392Z - 2022-11-23T01:30:35.8870513Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8870575Z { 2022-11-23T01:30:35.8870714Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8870818Z 'code': None, 2022-11-23T01:30:35.8871028Z 'obj_weakref': 2022-11-23T01:30:35.8871278Z 'guarded_class': 2022-11-23T01:30:35.8871328Z } 2022-11-23T01:30:35.8871391Z 2022-11-23T01:30:35.8871459Z - 2022-11-23T01:30:35.8871580Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8871642Z { 2022-11-23T01:30:35.8871785Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8871889Z 'code': None, 2022-11-23T01:30:35.8872086Z 'obj_weakref': 2022-11-23T01:30:35.8872335Z 'guarded_class': 2022-11-23T01:30:35.8872397Z } 2022-11-23T01:30:35.8872458Z 2022-11-23T01:30:35.8872526Z - 2022-11-23T01:30:35.8872644Z local 'model' NN_MODULE 2022-11-23T01:30:35.8872706Z { 2022-11-23T01:30:35.8872827Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8872994Z 'code': ['___check_obj_id(model, 140534622532752)'], 2022-11-23T01:30:35.8873195Z 'obj_weakref': 2022-11-23T01:30:35.8873412Z 'guarded_class': 2022-11-23T01:30:35.8873476Z } 2022-11-23T01:30:35.8873538Z 2022-11-23T01:30:35.8873606Z - 2022-11-23T01:30:35.8873714Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8873779Z { 2022-11-23T01:30:35.8873913Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8874129Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8874245Z 'obj_weakref': None 2022-11-23T01:30:35.8874467Z 'guarded_class': 2022-11-23T01:30:35.8874529Z } 2022-11-23T01:30:35.8874579Z 2022-11-23T01:30:35.8874648Z - 2022-11-23T01:30:35.8874798Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8874861Z { 2022-11-23T01:30:35.8874977Z 'guard_types': None, 2022-11-23T01:30:35.8875081Z 'code': None, 2022-11-23T01:30:35.8875196Z 'obj_weakref': None 2022-11-23T01:30:35.8875304Z 'guarded_class': None 2022-11-23T01:30:35.8875369Z } 2022-11-23T01:30:35.8875432Z 2022-11-23T01:30:35.8875501Z - 2022-11-23T01:30:35.8875693Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8875758Z { 2022-11-23T01:30:35.8875875Z 'guard_types': None, 2022-11-23T01:30:35.8875968Z 'code': None, 2022-11-23T01:30:35.8876083Z 'obj_weakref': None 2022-11-23T01:30:35.8876201Z 'guarded_class': None 2022-11-23T01:30:35.8876267Z } 2022-11-23T01:30:35.8876328Z 2022-11-23T01:30:35.8876586Z [2022-11-23 01:25:35,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243 2022-11-23T01:30:35.8876951Z [2022-11-23 01:25:35,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py 2022-11-23T01:30:35.8877230Z [2022-11-23 01:25:35,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243 2022-11-23T01:30:35.8877469Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8877781Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8877996Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8878237Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8878500Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8878810Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8879148Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8879463Z [2022-11-23 01:25:35,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8879840Z [2022-11-23 01:25:35,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8879921Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8880089Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8880181Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8880269Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8880359Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8880363Z 2022-11-23T01:30:35.8880458Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8880551Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8880640Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8880714Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8880800Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8880886Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8880890Z 2022-11-23T01:30:35.8880974Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8881050Z 24 RETURN_VALUE 2022-11-23T01:30:35.8881110Z 2022-11-23T01:30:35.8881115Z 2022-11-23T01:30:35.8881430Z [2022-11-23 01:25:35,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8881642Z [2022-11-23 01:25:35,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8881875Z [2022-11-23 01:25:35,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8882154Z [2022-11-23 01:25:35,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8882430Z [2022-11-23 01:25:35,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8882668Z [2022-11-23 01:25:35,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8882981Z [2022-11-23 01:25:35,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8883191Z [2022-11-23 01:25:35,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8883439Z [2022-11-23 01:25:35,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8883686Z [2022-11-23 01:25:35,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8883993Z [2022-11-23 01:25:35,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8884293Z [2022-11-23 01:25:35,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8884674Z [2022-11-23 01:25:35,216] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8884843Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8884940Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:30:35.8885029Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8885116Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8885191Z 8 RETURN_VALUE 2022-11-23T01:30:35.8885256Z 2022-11-23T01:30:35.8885261Z 2022-11-23T01:30:35.8885471Z [2022-11-23 01:25:35,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8885698Z [2022-11-23 01:25:35,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:30:35.8885969Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:30:35.8886276Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:30:35.8886523Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8886910Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8887147Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8887464Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8887669Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8887916Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8888299Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8888531Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8888762Z [2022-11-23 01:25:35,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8889017Z [2022-11-23 01:25:35,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8889307Z [2022-11-23 01:25:35,225] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8889498Z [2022-11-23 01:25:35,225] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8889630Z __compiled_fn_251 .2097 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8889719Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8889803Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8889912Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8890020Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8890025Z 2022-11-23T01:30:35.8890349Z [2022-11-23 01:25:35,226] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8890480Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8890569Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8890657Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8890749Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8890832Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8890907Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8890982Z 12 RETURN_VALUE 2022-11-23T01:30:35.8890987Z 2022-11-23T01:30:35.8891048Z 2022-11-23T01:30:35.8891374Z [2022-11-23 01:25:35,226] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8891482Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_251) 2022-11-23T01:30:35.8891571Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8891658Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8891734Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8891811Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8891897Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8891975Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8892065Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8892154Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8892229Z 18 RETURN_VALUE 2022-11-23T01:30:35.8892233Z 2022-11-23T01:30:35.8892294Z 2022-11-23T01:30:35.8892461Z [2022-11-23 01:25:35,226] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8892531Z - 2022-11-23T01:30:35.8892651Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8892714Z { 2022-11-23T01:30:35.8892852Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8893037Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8893155Z 'obj_weakref': None 2022-11-23T01:30:35.8893365Z 'guarded_class': 2022-11-23T01:30:35.8893432Z } 2022-11-23T01:30:35.8893496Z 2022-11-23T01:30:35.8893567Z - 2022-11-23T01:30:35.8893691Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8893753Z { 2022-11-23T01:30:35.8893893Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8893987Z 'code': None, 2022-11-23T01:30:35.8894199Z 'obj_weakref': 2022-11-23T01:30:35.8894450Z 'guarded_class': 2022-11-23T01:30:35.8894514Z } 2022-11-23T01:30:35.8894576Z 2022-11-23T01:30:35.8894645Z - 2022-11-23T01:30:35.8894767Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8894818Z { 2022-11-23T01:30:35.8894959Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8895068Z 'code': None, 2022-11-23T01:30:35.8895273Z 'obj_weakref': 2022-11-23T01:30:35.8895551Z 'guarded_class': 2022-11-23T01:30:35.8895616Z } 2022-11-23T01:30:35.8895679Z 2022-11-23T01:30:35.8895736Z - 2022-11-23T01:30:35.8895854Z local 'model' NN_MODULE 2022-11-23T01:30:35.8895918Z { 2022-11-23T01:30:35.8896053Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8896219Z 'code': ['___check_obj_id(model, 140534621331440)'], 2022-11-23T01:30:35.8896419Z 'obj_weakref': 2022-11-23T01:30:35.8896641Z 'guarded_class': 2022-11-23T01:30:35.8896694Z } 2022-11-23T01:30:35.8896795Z 2022-11-23T01:30:35.8896864Z - 2022-11-23T01:30:35.8896989Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8897051Z { 2022-11-23T01:30:35.8897186Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8897402Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8897507Z 'obj_weakref': None 2022-11-23T01:30:35.8897728Z 'guarded_class': 2022-11-23T01:30:35.8897790Z } 2022-11-23T01:30:35.8897852Z 2022-11-23T01:30:35.8897920Z - 2022-11-23T01:30:35.8898073Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8898135Z { 2022-11-23T01:30:35.8898241Z 'guard_types': None, 2022-11-23T01:30:35.8898346Z 'code': None, 2022-11-23T01:30:35.8898461Z 'obj_weakref': None 2022-11-23T01:30:35.8898585Z 'guarded_class': None 2022-11-23T01:30:35.8898647Z } 2022-11-23T01:30:35.8898709Z 2022-11-23T01:30:35.8898764Z - 2022-11-23T01:30:35.8898932Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8898994Z { 2022-11-23T01:30:35.8899112Z 'guard_types': None, 2022-11-23T01:30:35.8899216Z 'code': None, 2022-11-23T01:30:35.8899330Z 'obj_weakref': None 2022-11-23T01:30:35.8899452Z 'guarded_class': None 2022-11-23T01:30:35.8899502Z } 2022-11-23T01:30:35.8899563Z 2022-11-23T01:30:35.8899823Z [2022-11-23 01:25:35,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244 2022-11-23T01:30:35.8900195Z [2022-11-23 01:25:35,239] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py 2022-11-23T01:30:35.8900461Z [2022-11-23 01:25:35,239] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244 2022-11-23T01:30:35.8900699Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8901014Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8901228Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8901470Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8901724Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8902034Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8902368Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8902710Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8903093Z [2022-11-23 01:25:35,243] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8903186Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8903279Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8903367Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8903454Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8903530Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8903548Z 2022-11-23T01:30:35.8903625Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8903746Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8903834Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8903922Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8904008Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8904094Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8904098Z 2022-11-23T01:30:35.8904182Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8904245Z 24 RETURN_VALUE 2022-11-23T01:30:35.8904308Z 2022-11-23T01:30:35.8904313Z 2022-11-23T01:30:35.8904631Z [2022-11-23 01:25:35,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8904842Z [2022-11-23 01:25:35,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8905087Z [2022-11-23 01:25:35,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8905329Z [2022-11-23 01:25:35,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8905604Z [2022-11-23 01:25:35,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8905839Z [2022-11-23 01:25:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8906149Z [2022-11-23 01:25:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8906345Z [2022-11-23 01:25:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8906593Z [2022-11-23 01:25:35,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8906841Z [2022-11-23 01:25:35,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8907116Z [2022-11-23 01:25:35,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8907430Z [2022-11-23 01:25:35,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8907807Z [2022-11-23 01:25:35,252] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8907897Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8907989Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:30:35.8908076Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8908150Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8908224Z 8 RETURN_VALUE 2022-11-23T01:30:35.8908285Z 2022-11-23T01:30:35.8908290Z 2022-11-23T01:30:35.8908500Z [2022-11-23 01:25:35,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8908773Z [2022-11-23 01:25:35,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:30:35.8909045Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:30:35.8909354Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:30:35.8909597Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8909980Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8910203Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8910549Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8910756Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8911002Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8911382Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8911627Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8911858Z [2022-11-23 01:25:35,253] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8912110Z [2022-11-23 01:25:35,254] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8912362Z [2022-11-23 01:25:35,267] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8912549Z [2022-11-23 01:25:35,267] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8912676Z __compiled_fn_252 .2108 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8912764Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8912850Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8912972Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8913078Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8913083Z 2022-11-23T01:30:35.8913408Z [2022-11-23 01:25:35,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8913499Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8913591Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8913663Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8913756Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8913840Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8913928Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8914002Z 12 RETURN_VALUE 2022-11-23T01:30:35.8914007Z 2022-11-23T01:30:35.8914067Z 2022-11-23T01:30:35.8914388Z [2022-11-23 01:25:35,267] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8914483Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_252) 2022-11-23T01:30:35.8914572Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8914658Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8914732Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8914822Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8914907Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8914981Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8915082Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8915173Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8915246Z 18 RETURN_VALUE 2022-11-23T01:30:35.8915251Z 2022-11-23T01:30:35.8915311Z 2022-11-23T01:30:35.8915491Z [2022-11-23 01:25:35,268] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8915561Z - 2022-11-23T01:30:35.8915677Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8915727Z { 2022-11-23T01:30:35.8915866Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8916048Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8916167Z 'obj_weakref': None 2022-11-23T01:30:35.8916393Z 'guarded_class': 2022-11-23T01:30:35.8916485Z } 2022-11-23T01:30:35.8916547Z 2022-11-23T01:30:35.8916615Z - 2022-11-23T01:30:35.8916729Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8916792Z { 2022-11-23T01:30:35.8916932Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8917036Z 'code': None, 2022-11-23T01:30:35.8917245Z 'obj_weakref': 2022-11-23T01:30:35.8917493Z 'guarded_class': 2022-11-23T01:30:35.8917555Z } 2022-11-23T01:30:35.8917605Z 2022-11-23T01:30:35.8917673Z - 2022-11-23T01:30:35.8917794Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8917857Z { 2022-11-23T01:30:35.8917997Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8918100Z 'code': None, 2022-11-23T01:30:35.8918312Z 'obj_weakref': 2022-11-23T01:30:35.8918552Z 'guarded_class': 2022-11-23T01:30:35.8918616Z } 2022-11-23T01:30:35.8918678Z 2022-11-23T01:30:35.8918746Z - 2022-11-23T01:30:35.8918863Z local 'model' NN_MODULE 2022-11-23T01:30:35.8918924Z { 2022-11-23T01:30:35.8919057Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8919212Z 'code': ['___check_obj_id(model, 140534427858928)'], 2022-11-23T01:30:35.8919409Z 'obj_weakref': 2022-11-23T01:30:35.8919625Z 'guarded_class': 2022-11-23T01:30:35.8919688Z } 2022-11-23T01:30:35.8919749Z 2022-11-23T01:30:35.8919819Z - 2022-11-23T01:30:35.8919939Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8920070Z { 2022-11-23T01:30:35.8920209Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8920429Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8920546Z 'obj_weakref': None 2022-11-23T01:30:35.8920768Z 'guarded_class': 2022-11-23T01:30:35.8920831Z } 2022-11-23T01:30:35.8920894Z 2022-11-23T01:30:35.8920948Z - 2022-11-23T01:30:35.8921101Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8921165Z { 2022-11-23T01:30:35.8921284Z 'guard_types': None, 2022-11-23T01:30:35.8921390Z 'code': None, 2022-11-23T01:30:35.8921506Z 'obj_weakref': None 2022-11-23T01:30:35.8921624Z 'guarded_class': None 2022-11-23T01:30:35.8921677Z } 2022-11-23T01:30:35.8921739Z 2022-11-23T01:30:35.8921808Z - 2022-11-23T01:30:35.8921972Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8922075Z { 2022-11-23T01:30:35.8922193Z 'guard_types': None, 2022-11-23T01:30:35.8922284Z 'code': None, 2022-11-23T01:30:35.8922401Z 'obj_weakref': None 2022-11-23T01:30:35.8922518Z 'guarded_class': None 2022-11-23T01:30:35.8922581Z } 2022-11-23T01:30:35.8922643Z 2022-11-23T01:30:35.8922898Z [2022-11-23 01:25:35,280] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245 2022-11-23T01:30:35.8923260Z [2022-11-23 01:25:35,282] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py 2022-11-23T01:30:35.8923523Z [2022-11-23 01:25:35,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245 2022-11-23T01:30:35.8923802Z [2022-11-23 01:25:35,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8924118Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8924333Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8924574Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8924946Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8925260Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8925597Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8925915Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8926299Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.8926393Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8926477Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:30:35.8926567Z 4 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8926655Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8926745Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:35.8926751Z 2022-11-23T01:30:35.8926843Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:30:35.8926942Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:30:35.8927028Z 14 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8927103Z 16 LOAD_FAST 2 (y) 2022-11-23T01:30:35.8927191Z 18 CALL_METHOD 2 2022-11-23T01:30:35.8927275Z 20 STORE_FAST 1 (x) 2022-11-23T01:30:35.8927280Z 2022-11-23T01:30:35.8927364Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:30:35.8927439Z 24 RETURN_VALUE 2022-11-23T01:30:35.8927499Z 2022-11-23T01:30:35.8927504Z 2022-11-23T01:30:35.8927818Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630 2022-11-23T01:30:35.8928028Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8928275Z [2022-11-23 01:25:35,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:30:35.8928505Z [2022-11-23 01:25:35,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.8928822Z [2022-11-23 01:25:35,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.8929063Z [2022-11-23 01:25:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8929375Z [2022-11-23 01:25:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631 2022-11-23T01:30:35.8929584Z [2022-11-23 01:25:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:30:35.8929836Z [2022-11-23 01:25:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:30:35.8930085Z [2022-11-23 01:25:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:30:35.8930402Z [2022-11-23 01:25:35,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:35.8930718Z [2022-11-23 01:25:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.8931101Z [2022-11-23 01:25:35,290] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8931181Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:30:35.8931274Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:30:35.8931363Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:35.8931449Z 6 CALL_METHOD 1 2022-11-23T01:30:35.8931529Z 8 RETURN_VALUE 2022-11-23T01:30:35.8931591Z 2022-11-23T01:30:35.8931596Z 2022-11-23T01:30:35.8931804Z [2022-11-23 01:25:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8932034Z [2022-11-23 01:25:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:30:35.8932309Z [2022-11-23 01:25:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:30:35.8932615Z [2022-11-23 01:25:35,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:30:35.8932859Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8933246Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a211d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 2022-11-23T01:30:35.8933484Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:35.8933799Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632 2022-11-23T01:30:35.8934011Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:35.8934256Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8934641Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.8934883Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8935101Z [2022-11-23 01:25:35,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8935352Z [2022-11-23 01:25:35,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8935603Z [2022-11-23 01:25:35,298] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8935820Z [2022-11-23 01:25:35,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8935956Z __compiled_fn_253 .2119 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8936045Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8936132Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.8936252Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:30:35.8936348Z output, output, output, ((model_linear,),), {} 2022-11-23T01:30:35.8936353Z 2022-11-23T01:30:35.8936676Z [2022-11-23 01:25:35,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8936768Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8936858Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8936973Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8937066Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8937153Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8937241Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8937303Z 12 RETURN_VALUE 2022-11-23T01:30:35.8937308Z 2022-11-23T01:30:35.8937368Z 2022-11-23T01:30:35.8937692Z [2022-11-23 01:25:35,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8937800Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_253) 2022-11-23T01:30:35.8937889Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8937978Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8938053Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8938129Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8938219Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.8938293Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.8938381Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.8938473Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8938548Z 18 RETURN_VALUE 2022-11-23T01:30:35.8938553Z 2022-11-23T01:30:35.8938615Z 2022-11-23T01:30:35.8938783Z [2022-11-23 01:25:35,299] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8938853Z - 2022-11-23T01:30:35.8938971Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8939039Z { 2022-11-23T01:30:35.8939177Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8939362Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.8939480Z 'obj_weakref': None 2022-11-23T01:30:35.8939702Z 'guarded_class': 2022-11-23T01:30:35.8939757Z } 2022-11-23T01:30:35.8939820Z 2022-11-23T01:30:35.8939888Z - 2022-11-23T01:30:35.8940013Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8940078Z { 2022-11-23T01:30:35.8940218Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8940309Z 'code': None, 2022-11-23T01:30:35.8940522Z 'obj_weakref': 2022-11-23T01:30:35.8940772Z 'guarded_class': 2022-11-23T01:30:35.8940836Z } 2022-11-23T01:30:35.8940899Z 2022-11-23T01:30:35.8940968Z - 2022-11-23T01:30:35.8941088Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.8941138Z { 2022-11-23T01:30:35.8941278Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8941382Z 'code': None, 2022-11-23T01:30:35.8941590Z 'obj_weakref': 2022-11-23T01:30:35.8941872Z 'guarded_class': 2022-11-23T01:30:35.8941937Z } 2022-11-23T01:30:35.8941999Z 2022-11-23T01:30:35.8942056Z - 2022-11-23T01:30:35.8942175Z local 'model' NN_MODULE 2022-11-23T01:30:35.8942238Z { 2022-11-23T01:30:35.8942371Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8942539Z 'code': ['___check_obj_id(model, 140534619548752)'], 2022-11-23T01:30:35.8942741Z 'obj_weakref': 2022-11-23T01:30:35.8942957Z 'guarded_class': 2022-11-23T01:30:35.8943019Z } 2022-11-23T01:30:35.8943069Z 2022-11-23T01:30:35.8943139Z - 2022-11-23T01:30:35.8943261Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8943364Z { 2022-11-23T01:30:35.8943497Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8943715Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8943832Z 'obj_weakref': None 2022-11-23T01:30:35.8944041Z 'guarded_class': 2022-11-23T01:30:35.8944103Z } 2022-11-23T01:30:35.8949839Z 2022-11-23T01:30:35.8949958Z - 2022-11-23T01:30:35.8950137Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:30:35.8950204Z { 2022-11-23T01:30:35.8950332Z 'guard_types': None, 2022-11-23T01:30:35.8950427Z 'code': None, 2022-11-23T01:30:35.8950548Z 'obj_weakref': None 2022-11-23T01:30:35.8950670Z 'guarded_class': None 2022-11-23T01:30:35.8950733Z } 2022-11-23T01:30:35.8950801Z 2022-11-23T01:30:35.8950869Z - 2022-11-23T01:30:35.8951026Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:30:35.8951090Z { 2022-11-23T01:30:35.8951212Z 'guard_types': None, 2022-11-23T01:30:35.8951319Z 'code': None, 2022-11-23T01:30:35.8951434Z 'obj_weakref': None 2022-11-23T01:30:35.8951552Z 'guarded_class': None 2022-11-23T01:30:35.8951615Z } 2022-11-23T01:30:35.8951664Z 2022-11-23T01:30:35.8951931Z [2022-11-23 01:25:35,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246 2022-11-23T01:30:35.8952300Z [2022-11-23 01:25:35,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py 2022-11-23T01:30:35.8952565Z [2022-11-23 01:25:35,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246 2022-11-23T01:30:35.8952574Z 2022-11-23T01:30:35.8952668Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8952735Z import torch 2022-11-23T01:30:35.8952802Z import random 2022-11-23T01:30:35.8952917Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8953025Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8953043Z 2022-11-23T01:30:35.8953108Z aten = torch.ops.aten 2022-11-23T01:30:35.8953240Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8953331Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8953336Z 2022-11-23T01:30:35.8953340Z 2022-11-23T01:30:35.8953426Z async_compile.wait(globals()) 2022-11-23T01:30:35.8953496Z del async_compile 2022-11-23T01:30:35.8953501Z 2022-11-23T01:30:35.8953569Z def call(args): 2022-11-23T01:30:35.8953649Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8953708Z args.clear() 2022-11-23T01:30:35.8953934Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:30:35.8954003Z del arg0_1 2022-11-23T01:30:35.8954068Z del arg1_1 2022-11-23T01:30:35.8954132Z del arg2_1 2022-11-23T01:30:35.8954201Z return (buf0, ) 2022-11-23T01:30:35.8954205Z 2022-11-23T01:30:35.8954293Z 2022-11-23T01:30:35.8954371Z if __name__ == "__main__": 2022-11-23T01:30:35.8954486Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8954597Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8954804Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8955013Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8955218Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8955342Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8955347Z 2022-11-23T01:30:35.8955351Z 2022-11-23T01:30:35.8955444Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8955551Z import torch 2022-11-23T01:30:35.8955621Z import random 2022-11-23T01:30:35.8955723Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8955845Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8955849Z 2022-11-23T01:30:35.8955924Z aten = torch.ops.aten 2022-11-23T01:30:35.8956058Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8956147Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8956152Z 2022-11-23T01:30:35.8956156Z 2022-11-23T01:30:35.8956242Z async_compile.wait(globals()) 2022-11-23T01:30:35.8956312Z del async_compile 2022-11-23T01:30:35.8956316Z 2022-11-23T01:30:35.8956387Z def call(args): 2022-11-23T01:30:35.8956462Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8956534Z args.clear() 2022-11-23T01:30:35.8956763Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:30:35.8956831Z del arg0_1 2022-11-23T01:30:35.8956903Z del arg1_1 2022-11-23T01:30:35.8956970Z del arg2_1 2022-11-23T01:30:35.8957022Z del arg3_1 2022-11-23T01:30:35.8957091Z return (buf0, ) 2022-11-23T01:30:35.8957096Z 2022-11-23T01:30:35.8957102Z 2022-11-23T01:30:35.8957177Z if __name__ == "__main__": 2022-11-23T01:30:35.8957288Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8957407Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8957608Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8957803Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8957997Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8958178Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8958304Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8958309Z 2022-11-23T01:30:35.8958315Z 2022-11-23T01:30:35.8958409Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8958477Z import torch 2022-11-23T01:30:35.8958545Z import random 2022-11-23T01:30:35.8958660Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8958776Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8958781Z 2022-11-23T01:30:35.8958855Z aten = torch.ops.aten 2022-11-23T01:30:35.8958973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8959062Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8959067Z 2022-11-23T01:30:35.8959071Z 2022-11-23T01:30:35.8959158Z async_compile.wait(globals()) 2022-11-23T01:30:35.8959228Z del async_compile 2022-11-23T01:30:35.8959232Z 2022-11-23T01:30:35.8959301Z def call(args): 2022-11-23T01:30:35.8959380Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8959449Z args.clear() 2022-11-23T01:30:35.8959673Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:30:35.8959729Z del arg0_1 2022-11-23T01:30:35.8959794Z del arg1_1 2022-11-23T01:30:35.8959858Z del arg2_1 2022-11-23T01:30:35.8959927Z return (buf0, ) 2022-11-23T01:30:35.8959932Z 2022-11-23T01:30:35.8959965Z 2022-11-23T01:30:35.8960127Z if __name__ == "__main__": 2022-11-23T01:30:35.8960243Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8960365Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8960565Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8960748Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8960944Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8961068Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8961073Z 2022-11-23T01:30:35.8961077Z 2022-11-23T01:30:35.8961174Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8961277Z import torch 2022-11-23T01:30:35.8961348Z import random 2022-11-23T01:30:35.8961462Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8961569Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8961589Z 2022-11-23T01:30:35.8961652Z aten = torch.ops.aten 2022-11-23T01:30:35.8961785Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8961877Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8961882Z 2022-11-23T01:30:35.8961886Z 2022-11-23T01:30:35.8961974Z async_compile.wait(globals()) 2022-11-23T01:30:35.8962046Z del async_compile 2022-11-23T01:30:35.8962051Z 2022-11-23T01:30:35.8962120Z def call(args): 2022-11-23T01:30:35.8962207Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8962265Z args.clear() 2022-11-23T01:30:35.8962490Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:30:35.8962557Z del arg0_1 2022-11-23T01:30:35.8962622Z del arg1_1 2022-11-23T01:30:35.8962690Z del arg2_1 2022-11-23T01:30:35.8962753Z del arg3_1 2022-11-23T01:30:35.8962823Z return (buf0, ) 2022-11-23T01:30:35.8962827Z 2022-11-23T01:30:35.8962831Z 2022-11-23T01:30:35.8962908Z if __name__ == "__main__": 2022-11-23T01:30:35.8963006Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8963126Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8963325Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8963519Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8963722Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8963924Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8964050Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8964055Z 2022-11-23T01:30:35.8964059Z 2022-11-23T01:30:35.8964152Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8964208Z import torch 2022-11-23T01:30:35.8964276Z import random 2022-11-23T01:30:35.8964391Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8964510Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8964514Z 2022-11-23T01:30:35.8964591Z aten = torch.ops.aten 2022-11-23T01:30:35.8964722Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8964920Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8964925Z 2022-11-23T01:30:35.8964929Z 2022-11-23T01:30:35.8965018Z async_compile.wait(globals()) 2022-11-23T01:30:35.8965077Z del async_compile 2022-11-23T01:30:35.8965081Z 2022-11-23T01:30:35.8965152Z def call(args): 2022-11-23T01:30:35.8965233Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8965306Z args.clear() 2022-11-23T01:30:35.8965531Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:30:35.8965601Z del arg0_1 2022-11-23T01:30:35.8965671Z del arg1_1 2022-11-23T01:30:35.8965723Z del arg2_1 2022-11-23T01:30:35.8965795Z return (buf0, ) 2022-11-23T01:30:35.8965800Z 2022-11-23T01:30:35.8965858Z 2022-11-23T01:30:35.8965938Z if __name__ == "__main__": 2022-11-23T01:30:35.8966050Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8966174Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8966376Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8966584Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8966788Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8966896Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8966901Z 2022-11-23T01:30:35.8966920Z 2022-11-23T01:30:35.8967001Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8967105Z import torch 2022-11-23T01:30:35.8967176Z import random 2022-11-23T01:30:35.8967292Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8967413Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8967417Z 2022-11-23T01:30:35.8967495Z aten = torch.ops.aten 2022-11-23T01:30:35.8967630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8967707Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8967711Z 2022-11-23T01:30:35.8967715Z 2022-11-23T01:30:35.8967804Z async_compile.wait(globals()) 2022-11-23T01:30:35.8967877Z del async_compile 2022-11-23T01:30:35.8967881Z 2022-11-23T01:30:35.8967954Z def call(args): 2022-11-23T01:30:35.8968040Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:30:35.8968109Z args.clear() 2022-11-23T01:30:35.8968333Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:30:35.8968387Z del arg0_1 2022-11-23T01:30:35.8968453Z del arg1_1 2022-11-23T01:30:35.8968519Z del arg2_1 2022-11-23T01:30:35.8968584Z del arg3_1 2022-11-23T01:30:35.8968654Z return (buf0, ) 2022-11-23T01:30:35.8968659Z 2022-11-23T01:30:35.8968663Z 2022-11-23T01:30:35.8968739Z if __name__ == "__main__": 2022-11-23T01:30:35.8968850Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8968970Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8969157Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8969350Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8969544Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8969738Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8969863Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:30:35.8969868Z 2022-11-23T01:30:35.8969872Z 2022-11-23T01:30:35.8969967Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.8970035Z import torch 2022-11-23T01:30:35.8970103Z import random 2022-11-23T01:30:35.8970207Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.8970324Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.8970328Z 2022-11-23T01:30:35.8970403Z aten = torch.ops.aten 2022-11-23T01:30:35.8970533Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.8970623Z async_compile = AsyncCompile() 2022-11-23T01:30:35.8970627Z 2022-11-23T01:30:35.8970631Z 2022-11-23T01:30:35.8970718Z async_compile.wait(globals()) 2022-11-23T01:30:35.8970788Z del async_compile 2022-11-23T01:30:35.8970793Z 2022-11-23T01:30:35.8970862Z def call(args): 2022-11-23T01:30:35.8970930Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.8970999Z args.clear() 2022-11-23T01:30:35.8971223Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:30:35.8971292Z del arg0_1 2022-11-23T01:30:35.8971357Z del arg1_1 2022-11-23T01:30:35.8971420Z del arg2_1 2022-11-23T01:30:35.8971489Z return (buf0, ) 2022-11-23T01:30:35.8971494Z 2022-11-23T01:30:35.8971527Z 2022-11-23T01:30:35.8971590Z if __name__ == "__main__": 2022-11-23T01:30:35.8971702Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.8971821Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.8972021Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8972215Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8972407Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.8972525Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.8972530Z 2022-11-23T01:30:35.8972594Z ok (1.162s) 2022-11-23T01:30:35.8972897Z test_linear_unary_cpu (__main__.CpuTests) ... [2022-11-23 01:25:35,317] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8973253Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8973468Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8973709Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8973977Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8974289Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8974621Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8974935Z [2022-11-23 01:25:35,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8975182Z [2022-11-23 01:25:35,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8975418Z [2022-11-23 01:25:35,327] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8975660Z [2022-11-23 01:25:35,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8975909Z [2022-11-23 01:25:35,343] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8976096Z [2022-11-23 01:25:35,343] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8976230Z __compiled_fn_254 .2130 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8976318Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8976420Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.8976517Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.8976521Z 2022-11-23T01:30:35.8976847Z [2022-11-23 01:25:35,343] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8976928Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8977017Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8977101Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8977193Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8977276Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8977361Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8977435Z 12 RETURN_VALUE 2022-11-23T01:30:35.8977439Z 2022-11-23T01:30:35.8977499Z 2022-11-23T01:30:35.8977806Z [2022-11-23 01:25:35,343] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8977914Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_254) 2022-11-23T01:30:35.8978029Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8978119Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8978195Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8978280Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8978366Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8978428Z 12 RETURN_VALUE 2022-11-23T01:30:35.8978444Z 2022-11-23T01:30:35.8978491Z 2022-11-23T01:30:35.8978673Z [2022-11-23 01:25:35,344] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8978743Z - 2022-11-23T01:30:35.8978859Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8978922Z { 2022-11-23T01:30:35.8979061Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8979233Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8979378Z 'obj_weakref': None 2022-11-23T01:30:35.8979606Z 'guarded_class': 2022-11-23T01:30:35.8979670Z } 2022-11-23T01:30:35.8979732Z 2022-11-23T01:30:35.8979801Z - 2022-11-23T01:30:35.8979923Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8979973Z { 2022-11-23T01:30:35.8980111Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8980215Z 'code': None, 2022-11-23T01:30:35.8980427Z 'obj_weakref': 2022-11-23T01:30:35.8980678Z 'guarded_class': 2022-11-23T01:30:35.8980740Z } 2022-11-23T01:30:35.8980804Z 2022-11-23T01:30:35.8980859Z - 2022-11-23T01:30:35.8980980Z local 'model' NN_MODULE 2022-11-23T01:30:35.8981043Z { 2022-11-23T01:30:35.8981176Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8981345Z 'code': ['___check_obj_id(model, 140534622371360)'], 2022-11-23T01:30:35.8981564Z 'obj_weakref': 2022-11-23T01:30:35.8981796Z 'guarded_class': 2022-11-23T01:30:35.8981858Z } 2022-11-23T01:30:35.8981907Z 2022-11-23T01:30:35.8981974Z - 2022-11-23T01:30:35.8982095Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8982156Z { 2022-11-23T01:30:35.8982290Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8982506Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8982622Z 'obj_weakref': None 2022-11-23T01:30:35.8982836Z 'guarded_class': 2022-11-23T01:30:35.8982899Z } 2022-11-23T01:30:35.8982960Z 2022-11-23T01:30:35.8983029Z - 2022-11-23T01:30:35.8983173Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.8983234Z { 2022-11-23T01:30:35.8983340Z 'guard_types': None, 2022-11-23T01:30:35.8983445Z 'code': None, 2022-11-23T01:30:35.8983562Z 'obj_weakref': None 2022-11-23T01:30:35.8983680Z 'guarded_class': None 2022-11-23T01:30:35.8983742Z } 2022-11-23T01:30:35.8983802Z 2022-11-23T01:30:35.8983869Z - 2022-11-23T01:30:35.8983998Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.8984059Z { 2022-11-23T01:30:35.8984179Z 'guard_types': None, 2022-11-23T01:30:35.8984302Z 'code': None, 2022-11-23T01:30:35.8984418Z 'obj_weakref': None 2022-11-23T01:30:35.8984540Z 'guarded_class': None 2022-11-23T01:30:35.8984602Z } 2022-11-23T01:30:35.8984652Z 2022-11-23T01:30:35.8984937Z [2022-11-23 01:25:35,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247 2022-11-23T01:30:35.8985313Z [2022-11-23 01:25:35,358] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xj/cxjrcrndaj5lyefcg6h2ivrkiashvsibsiwxhln6ijhzechr2qy3.py 2022-11-23T01:30:35.8985575Z [2022-11-23 01:25:35,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247 2022-11-23T01:30:35.8985808Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8986121Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8986337Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8986605Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8986873Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.8987173Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8987509Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8987821Z [2022-11-23 01:25:35,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.8988067Z [2022-11-23 01:25:35,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.8988302Z [2022-11-23 01:25:35,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.8988554Z [2022-11-23 01:25:35,366] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.8988802Z [2022-11-23 01:25:35,374] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.8988990Z [2022-11-23 01:25:35,374] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.8989121Z __compiled_fn_255 .2141 opcode, name, target, args, kwargs 2022-11-23T01:30:35.8989197Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.8989296Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.8989394Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.8989400Z 2022-11-23T01:30:35.8989721Z [2022-11-23 01:25:35,374] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8989816Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.8989906Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8989993Z 4 BUILD_MAP 0 2022-11-23T01:30:35.8990085Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.8990157Z 8 DICT_MERGE 1 2022-11-23T01:30:35.8990243Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.8990316Z 12 RETURN_VALUE 2022-11-23T01:30:35.8990322Z 2022-11-23T01:30:35.8990382Z 2022-11-23T01:30:35.8990703Z [2022-11-23 01:25:35,374] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.8990808Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_255) 2022-11-23T01:30:35.8990895Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.8990984Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.8991050Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.8991136Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.8991224Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.8991325Z 12 RETURN_VALUE 2022-11-23T01:30:35.8991330Z 2022-11-23T01:30:35.8991391Z 2022-11-23T01:30:35.8991572Z [2022-11-23 01:25:35,375] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.8991641Z - 2022-11-23T01:30:35.8991747Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.8991813Z { 2022-11-23T01:30:35.8991951Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.8992137Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.8992258Z 'obj_weakref': None 2022-11-23T01:30:35.8992481Z 'guarded_class': 2022-11-23T01:30:35.8992542Z } 2022-11-23T01:30:35.8992591Z 2022-11-23T01:30:35.8992704Z - 2022-11-23T01:30:35.8992828Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.8992890Z { 2022-11-23T01:30:35.8993034Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.8993139Z 'code': None, 2022-11-23T01:30:35.8993348Z 'obj_weakref': 2022-11-23T01:30:35.8993586Z 'guarded_class': 2022-11-23T01:30:35.8993649Z } 2022-11-23T01:30:35.8993711Z 2022-11-23T01:30:35.8993781Z - 2022-11-23T01:30:35.8993899Z local 'model' NN_MODULE 2022-11-23T01:30:35.8993963Z { 2022-11-23T01:30:35.8994097Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.8994251Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.8994468Z 'obj_weakref': 2022-11-23T01:30:35.8994702Z 'guarded_class': 2022-11-23T01:30:35.8994767Z } 2022-11-23T01:30:35.8994829Z 2022-11-23T01:30:35.8994897Z - 2022-11-23T01:30:35.8995018Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.8995067Z { 2022-11-23T01:30:35.8995204Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.8995420Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.8995537Z 'obj_weakref': None 2022-11-23T01:30:35.8995757Z 'guarded_class': 2022-11-23T01:30:35.8995819Z } 2022-11-23T01:30:35.8995881Z 2022-11-23T01:30:35.8995937Z - 2022-11-23T01:30:35.8996081Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.8996145Z { 2022-11-23T01:30:35.8996264Z 'guard_types': None, 2022-11-23T01:30:35.8996369Z 'code': None, 2022-11-23T01:30:35.8996484Z 'obj_weakref': None 2022-11-23T01:30:35.8996606Z 'guarded_class': None 2022-11-23T01:30:35.8996656Z } 2022-11-23T01:30:35.8996719Z 2022-11-23T01:30:35.8996786Z - 2022-11-23T01:30:35.8996929Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.8997029Z { 2022-11-23T01:30:35.8997147Z 'guard_types': None, 2022-11-23T01:30:35.8997251Z 'code': None, 2022-11-23T01:30:35.8997353Z 'obj_weakref': None 2022-11-23T01:30:35.8997471Z 'guarded_class': None 2022-11-23T01:30:35.8997532Z } 2022-11-23T01:30:35.8997594Z 2022-11-23T01:30:35.8997876Z [2022-11-23 01:25:35,385] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248 2022-11-23T01:30:35.8998244Z [2022-11-23 01:25:35,388] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x6/cx6djbwrfcnrctpdo77fdvm562r3zla6tnjcpxjlle3xxikutpra.py 2022-11-23T01:30:35.8998540Z [2022-11-23 01:25:35,389] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248 2022-11-23T01:30:35.8998765Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.8999077Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.8999290Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.8999532Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.8999799Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9000249Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9000596Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9000910Z [2022-11-23 01:25:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9001157Z [2022-11-23 01:25:35,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9001391Z [2022-11-23 01:25:35,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9001632Z [2022-11-23 01:25:35,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9001881Z [2022-11-23 01:25:35,414] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9002071Z [2022-11-23 01:25:35,414] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9002208Z __compiled_fn_256 .2152 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9002299Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9002400Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9002500Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9002505Z 2022-11-23T01:30:35.9002831Z [2022-11-23 01:25:35,415] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9002926Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9003003Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9003090Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9003183Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9003273Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9003359Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9003434Z 12 RETURN_VALUE 2022-11-23T01:30:35.9003442Z 2022-11-23T01:30:35.9003501Z 2022-11-23T01:30:35.9003808Z [2022-11-23 01:25:35,415] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9003914Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_256) 2022-11-23T01:30:35.9004003Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9004092Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9004168Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9004256Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9004343Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9004404Z 12 RETURN_VALUE 2022-11-23T01:30:35.9004421Z 2022-11-23T01:30:35.9004468Z 2022-11-23T01:30:35.9004651Z [2022-11-23 01:25:35,415] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9004721Z - 2022-11-23T01:30:35.9004959Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9005080Z { 2022-11-23T01:30:35.9005228Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9005417Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9005524Z 'obj_weakref': None 2022-11-23T01:30:35.9005750Z 'guarded_class': 2022-11-23T01:30:35.9005815Z } 2022-11-23T01:30:35.9005879Z 2022-11-23T01:30:35.9005951Z - 2022-11-23T01:30:35.9006075Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9006126Z { 2022-11-23T01:30:35.9006269Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9006376Z 'code': None, 2022-11-23T01:30:35.9006591Z 'obj_weakref': 2022-11-23T01:30:35.9006881Z 'guarded_class': 2022-11-23T01:30:35.9006947Z } 2022-11-23T01:30:35.9007008Z 2022-11-23T01:30:35.9007075Z - 2022-11-23T01:30:35.9007181Z local 'model' NN_MODULE 2022-11-23T01:30:35.9007244Z { 2022-11-23T01:30:35.9007377Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9007544Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.9007762Z 'obj_weakref': 2022-11-23T01:30:35.9007994Z 'guarded_class': 2022-11-23T01:30:35.9008057Z } 2022-11-23T01:30:35.9008107Z 2022-11-23T01:30:35.9008177Z - 2022-11-23T01:30:35.9008297Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9008363Z { 2022-11-23T01:30:35.9008500Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9008717Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9008834Z 'obj_weakref': None 2022-11-23T01:30:35.9009043Z 'guarded_class': 2022-11-23T01:30:35.9009105Z } 2022-11-23T01:30:35.9009167Z 2022-11-23T01:30:35.9009234Z - 2022-11-23T01:30:35.9009378Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9009439Z { 2022-11-23T01:30:35.9009556Z 'guard_types': None, 2022-11-23T01:30:35.9009649Z 'code': None, 2022-11-23T01:30:35.9009764Z 'obj_weakref': None 2022-11-23T01:30:35.9009883Z 'guarded_class': None 2022-11-23T01:30:35.9009946Z } 2022-11-23T01:30:35.9010010Z 2022-11-23T01:30:35.9010078Z - 2022-11-23T01:30:35.9010208Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9010268Z { 2022-11-23T01:30:35.9010388Z 'guard_types': None, 2022-11-23T01:30:35.9010493Z 'code': None, 2022-11-23T01:30:35.9010608Z 'obj_weakref': None 2022-11-23T01:30:35.9010727Z 'guarded_class': None 2022-11-23T01:30:35.9010789Z } 2022-11-23T01:30:35.9010838Z 2022-11-23T01:30:35.9011096Z [2022-11-23 01:25:35,427] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249 2022-11-23T01:30:35.9011463Z [2022-11-23 01:25:35,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ei/cei5z5jzbjgcaizc3qzfyrk2trvs7u3v65ascbxqrcbntxfui6z3.py 2022-11-23T01:30:35.9011726Z [2022-11-23 01:25:35,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249 2022-11-23T01:30:35.9011960Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9012304Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9012525Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9012768Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9013032Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9013331Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9013666Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9014014Z [2022-11-23 01:25:35,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9014262Z [2022-11-23 01:25:35,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9014494Z [2022-11-23 01:25:35,435] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9014742Z [2022-11-23 01:25:35,436] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9014989Z [2022-11-23 01:25:35,444] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9015177Z [2022-11-23 01:25:35,444] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9015310Z __compiled_fn_257 .2163 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9015398Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9015487Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9015584Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9015590Z 2022-11-23T01:30:35.9015914Z [2022-11-23 01:25:35,444] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9016007Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9016095Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9016180Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9016271Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9016342Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9016430Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9016505Z 12 RETURN_VALUE 2022-11-23T01:30:35.9016510Z 2022-11-23T01:30:35.9016572Z 2022-11-23T01:30:35.9016893Z [2022-11-23 01:25:35,444] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9017003Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_257) 2022-11-23T01:30:35.9017094Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9017183Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9017247Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9017332Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9017419Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9017493Z 12 RETURN_VALUE 2022-11-23T01:30:35.9017497Z 2022-11-23T01:30:35.9017557Z 2022-11-23T01:30:35.9017737Z [2022-11-23 01:25:35,445] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9017806Z - 2022-11-23T01:30:35.9017911Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9017975Z { 2022-11-23T01:30:35.9018115Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9018302Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9018424Z 'obj_weakref': None 2022-11-23T01:30:35.9018679Z 'guarded_class': 2022-11-23T01:30:35.9018744Z } 2022-11-23T01:30:35.9018793Z 2022-11-23T01:30:35.9018861Z - 2022-11-23T01:30:35.9018984Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9019046Z { 2022-11-23T01:30:35.9019186Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9019291Z 'code': None, 2022-11-23T01:30:35.9019502Z 'obj_weakref': 2022-11-23T01:30:35.9019739Z 'guarded_class': 2022-11-23T01:30:35.9019799Z } 2022-11-23T01:30:35.9019862Z 2022-11-23T01:30:35.9019931Z - 2022-11-23T01:30:35.9020078Z local 'model' NN_MODULE 2022-11-23T01:30:35.9020140Z { 2022-11-23T01:30:35.9020274Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9020430Z 'code': ['___check_obj_id(model, 140534427853360)'], 2022-11-23T01:30:35.9020646Z 'obj_weakref': 2022-11-23T01:30:35.9020878Z 'guarded_class': 2022-11-23T01:30:35.9020940Z } 2022-11-23T01:30:35.9021006Z 2022-11-23T01:30:35.9021105Z - 2022-11-23T01:30:35.9021272Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9021323Z { 2022-11-23T01:30:35.9021457Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9021672Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9021790Z 'obj_weakref': None 2022-11-23T01:30:35.9022013Z 'guarded_class': 2022-11-23T01:30:35.9022074Z } 2022-11-23T01:30:35.9022135Z 2022-11-23T01:30:35.9022195Z - 2022-11-23T01:30:35.9022339Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9022401Z { 2022-11-23T01:30:35.9022519Z 'guard_types': None, 2022-11-23T01:30:35.9022624Z 'code': None, 2022-11-23T01:30:35.9022737Z 'obj_weakref': None 2022-11-23T01:30:35.9022858Z 'guarded_class': None 2022-11-23T01:30:35.9022907Z } 2022-11-23T01:30:35.9022969Z 2022-11-23T01:30:35.9023036Z - 2022-11-23T01:30:35.9023180Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9023241Z { 2022-11-23T01:30:35.9023360Z 'guard_types': None, 2022-11-23T01:30:35.9023463Z 'code': None, 2022-11-23T01:30:35.9023567Z 'obj_weakref': None 2022-11-23T01:30:35.9023689Z 'guarded_class': None 2022-11-23T01:30:35.9023750Z } 2022-11-23T01:30:35.9023812Z 2022-11-23T01:30:35.9024070Z [2022-11-23 01:25:35,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250 2022-11-23T01:30:35.9024441Z [2022-11-23 01:25:35,458] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ub/cublgfhnk6vaa7gbgy3yy2mngomzcop6o6faiw3pgtvn6l3gndsr.py 2022-11-23T01:30:35.9024705Z [2022-11-23 01:25:35,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250 2022-11-23T01:30:35.9024938Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9025237Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9025452Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9025696Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9025996Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9026311Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9026644Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9026954Z [2022-11-23 01:25:35,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9027199Z [2022-11-23 01:25:35,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9027469Z [2022-11-23 01:25:35,471] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9027722Z [2022-11-23 01:25:35,472] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9027957Z [2022-11-23 01:25:35,484] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9028145Z [2022-11-23 01:25:35,484] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9028277Z __compiled_fn_258 .2174 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9028364Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9028463Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9028564Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9028569Z 2022-11-23T01:30:35.9028896Z [2022-11-23 01:25:35,484] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9028995Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9029071Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9029161Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9029256Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9029341Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9029431Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9029506Z 12 RETURN_VALUE 2022-11-23T01:30:35.9029511Z 2022-11-23T01:30:35.9029572Z 2022-11-23T01:30:35.9029878Z [2022-11-23 01:25:35,484] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9029987Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_258) 2022-11-23T01:30:35.9030075Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9030163Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9030241Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9030328Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9030415Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9030490Z 12 RETURN_VALUE 2022-11-23T01:30:35.9030495Z 2022-11-23T01:30:35.9030544Z 2022-11-23T01:30:35.9030723Z [2022-11-23 01:25:35,485] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9030793Z - 2022-11-23T01:30:35.9030910Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9030973Z { 2022-11-23T01:30:35.9031112Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9031296Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9031402Z 'obj_weakref': None 2022-11-23T01:30:35.9031626Z 'guarded_class': 2022-11-23T01:30:35.9031689Z } 2022-11-23T01:30:35.9031752Z 2022-11-23T01:30:35.9031823Z - 2022-11-23T01:30:35.9031946Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9032008Z { 2022-11-23T01:30:35.9032183Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9032342Z 'code': None, 2022-11-23T01:30:35.9032647Z 'obj_weakref': 2022-11-23T01:30:35.9032907Z 'guarded_class': 2022-11-23T01:30:35.9032972Z } 2022-11-23T01:30:35.9033037Z 2022-11-23T01:30:35.9033107Z - 2022-11-23T01:30:35.9033213Z local 'model' NN_MODULE 2022-11-23T01:30:35.9033278Z { 2022-11-23T01:30:35.9033412Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9033582Z 'code': ['___check_obj_id(model, 140534622371360)'], 2022-11-23T01:30:35.9033806Z 'obj_weakref': 2022-11-23T01:30:35.9034079Z 'guarded_class': 2022-11-23T01:30:35.9034147Z } 2022-11-23T01:30:35.9034198Z 2022-11-23T01:30:35.9034265Z - 2022-11-23T01:30:35.9034386Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9034450Z { 2022-11-23T01:30:35.9034583Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9034799Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9034917Z 'obj_weakref': None 2022-11-23T01:30:35.9035125Z 'guarded_class': 2022-11-23T01:30:35.9035187Z } 2022-11-23T01:30:35.9035250Z 2022-11-23T01:30:35.9035318Z - 2022-11-23T01:30:35.9035462Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9035523Z { 2022-11-23T01:30:35.9035644Z 'guard_types': None, 2022-11-23T01:30:35.9035736Z 'code': None, 2022-11-23T01:30:35.9035853Z 'obj_weakref': None 2022-11-23T01:30:35.9035974Z 'guarded_class': None 2022-11-23T01:30:35.9036036Z } 2022-11-23T01:30:35.9036098Z 2022-11-23T01:30:35.9036164Z - 2022-11-23T01:30:35.9036295Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9036356Z { 2022-11-23T01:30:35.9036472Z 'guard_types': None, 2022-11-23T01:30:35.9036576Z 'code': None, 2022-11-23T01:30:35.9036693Z 'obj_weakref': None 2022-11-23T01:30:35.9036811Z 'guarded_class': None 2022-11-23T01:30:35.9036872Z } 2022-11-23T01:30:35.9036922Z 2022-11-23T01:30:35.9037179Z [2022-11-23 01:25:35,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251 2022-11-23T01:30:35.9037551Z [2022-11-23 01:25:35,498] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sz/cszjvj4sxzbnyfljgk4endmcpkgdmmejjt6q3ygmlemdjqt2bwb6.py 2022-11-23T01:30:35.9037820Z [2022-11-23 01:25:35,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251 2022-11-23T01:30:35.9038055Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9038368Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9038584Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9038826Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9039091Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9039409Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9039760Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9040158Z [2022-11-23 01:25:35,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9040407Z [2022-11-23 01:25:35,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9040639Z [2022-11-23 01:25:35,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9040892Z [2022-11-23 01:25:35,507] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9041138Z [2022-11-23 01:25:35,514] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9041374Z [2022-11-23 01:25:35,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9041509Z __compiled_fn_259 .2185 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9041600Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9041688Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9041785Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9041791Z 2022-11-23T01:30:35.9042115Z [2022-11-23 01:25:35,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9042207Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9042296Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9042380Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9042471Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9042559Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9042634Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9042709Z 12 RETURN_VALUE 2022-11-23T01:30:35.9042716Z 2022-11-23T01:30:35.9042777Z 2022-11-23T01:30:35.9043095Z [2022-11-23 01:25:35,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9043203Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_259) 2022-11-23T01:30:35.9043290Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9043380Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9043455Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9043529Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9043616Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9043688Z 12 RETURN_VALUE 2022-11-23T01:30:35.9043693Z 2022-11-23T01:30:35.9043751Z 2022-11-23T01:30:35.9043934Z [2022-11-23 01:25:35,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9044003Z - 2022-11-23T01:30:35.9044120Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9044174Z { 2022-11-23T01:30:35.9044315Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9044500Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9044619Z 'obj_weakref': None 2022-11-23T01:30:35.9044925Z 'guarded_class': 2022-11-23T01:30:35.9044989Z } 2022-11-23T01:30:35.9045051Z 2022-11-23T01:30:35.9045108Z - 2022-11-23T01:30:35.9045231Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9045293Z { 2022-11-23T01:30:35.9045434Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9045540Z 'code': None, 2022-11-23T01:30:35.9045751Z 'obj_weakref': 2022-11-23T01:30:35.9046003Z 'guarded_class': 2022-11-23T01:30:35.9046128Z } 2022-11-23T01:30:35.9046195Z 2022-11-23T01:30:35.9046267Z - 2022-11-23T01:30:35.9046386Z local 'model' NN_MODULE 2022-11-23T01:30:35.9046448Z { 2022-11-23T01:30:35.9046582Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9046748Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.9046955Z 'obj_weakref': 2022-11-23T01:30:35.9047186Z 'guarded_class': 2022-11-23T01:30:35.9047249Z } 2022-11-23T01:30:35.9047311Z 2022-11-23T01:30:35.9047381Z - 2022-11-23T01:30:35.9047502Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9047601Z { 2022-11-23T01:30:35.9047724Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9047943Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9048061Z 'obj_weakref': None 2022-11-23T01:30:35.9048280Z 'guarded_class': 2022-11-23T01:30:35.9048342Z } 2022-11-23T01:30:35.9048402Z 2022-11-23T01:30:35.9048497Z - 2022-11-23T01:30:35.9048629Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9048690Z { 2022-11-23T01:30:35.9048810Z 'guard_types': None, 2022-11-23T01:30:35.9048916Z 'code': None, 2022-11-23T01:30:35.9049032Z 'obj_weakref': None 2022-11-23T01:30:35.9049150Z 'guarded_class': None 2022-11-23T01:30:35.9049211Z } 2022-11-23T01:30:35.9049262Z 2022-11-23T01:30:35.9049332Z - 2022-11-23T01:30:35.9049475Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9049536Z { 2022-11-23T01:30:35.9049655Z 'guard_types': None, 2022-11-23T01:30:35.9049758Z 'code': None, 2022-11-23T01:30:35.9049861Z 'obj_weakref': None 2022-11-23T01:30:35.9049980Z 'guarded_class': None 2022-11-23T01:30:35.9050040Z } 2022-11-23T01:30:35.9050101Z 2022-11-23T01:30:35.9050359Z [2022-11-23 01:25:35,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252 2022-11-23T01:30:35.9050724Z [2022-11-23 01:25:35,529] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mbuz2oibdwsbgutv2klxva22onbe7pqggxewl6xak2zu6ldf6h.py 2022-11-23T01:30:35.9050987Z [2022-11-23 01:25:35,529] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252 2022-11-23T01:30:35.9051222Z [2022-11-23 01:25:35,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9051525Z [2022-11-23 01:25:35,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9051741Z [2022-11-23 01:25:35,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9051985Z [2022-11-23 01:25:35,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9052250Z [2022-11-23 01:25:35,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9052562Z [2022-11-23 01:25:35,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9052896Z [2022-11-23 01:25:35,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9053209Z [2022-11-23 01:25:35,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9053480Z [2022-11-23 01:25:35,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9053717Z [2022-11-23 01:25:35,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9053969Z [2022-11-23 01:25:35,542] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9054205Z [2022-11-23 01:25:35,555] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9054392Z [2022-11-23 01:25:35,555] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9054524Z __compiled_fn_260 .2196 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9054614Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9054745Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9054843Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9054849Z 2022-11-23T01:30:35.9055173Z [2022-11-23 01:25:35,556] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9055266Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9055344Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9055430Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9055520Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9055606Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9055695Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9055770Z 12 RETURN_VALUE 2022-11-23T01:30:35.9055775Z 2022-11-23T01:30:35.9055837Z 2022-11-23T01:30:35.9056156Z [2022-11-23 01:25:35,556] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9056252Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_260) 2022-11-23T01:30:35.9056343Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9056432Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9056508Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9056594Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9056682Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9056757Z 12 RETURN_VALUE 2022-11-23T01:30:35.9056761Z 2022-11-23T01:30:35.9056808Z 2022-11-23T01:30:35.9056989Z [2022-11-23 01:25:35,557] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9057058Z - 2022-11-23T01:30:35.9057175Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9057238Z { 2022-11-23T01:30:35.9057375Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9057560Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9057667Z 'obj_weakref': None 2022-11-23T01:30:35.9057894Z 'guarded_class': 2022-11-23T01:30:35.9057958Z } 2022-11-23T01:30:35.9058021Z 2022-11-23T01:30:35.9058092Z - 2022-11-23T01:30:35.9058214Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9058276Z { 2022-11-23T01:30:35.9058405Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9058511Z 'code': None, 2022-11-23T01:30:35.9058724Z 'obj_weakref': 2022-11-23T01:30:35.9058974Z 'guarded_class': 2022-11-23T01:30:35.9059037Z } 2022-11-23T01:30:35.9059100Z 2022-11-23T01:30:35.9059168Z - 2022-11-23T01:30:35.9059276Z local 'model' NN_MODULE 2022-11-23T01:30:35.9059341Z { 2022-11-23T01:30:35.9059474Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9059673Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.9059896Z 'obj_weakref': 2022-11-23T01:30:35.9060130Z 'guarded_class': 2022-11-23T01:30:35.9060193Z } 2022-11-23T01:30:35.9060255Z 2022-11-23T01:30:35.9060312Z - 2022-11-23T01:30:35.9060432Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9060496Z { 2022-11-23T01:30:35.9060633Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9060849Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9060967Z 'obj_weakref': None 2022-11-23T01:30:35.9061223Z 'guarded_class': 2022-11-23T01:30:35.9061274Z } 2022-11-23T01:30:35.9061336Z 2022-11-23T01:30:35.9061408Z - 2022-11-23T01:30:35.9061552Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9061614Z { 2022-11-23T01:30:35.9061732Z 'guard_types': None, 2022-11-23T01:30:35.9061824Z 'code': None, 2022-11-23T01:30:35.9061940Z 'obj_weakref': None 2022-11-23T01:30:35.9062060Z 'guarded_class': None 2022-11-23T01:30:35.9062122Z } 2022-11-23T01:30:35.9062185Z 2022-11-23T01:30:35.9062252Z - 2022-11-23T01:30:35.9062395Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9062445Z { 2022-11-23T01:30:35.9062562Z 'guard_types': None, 2022-11-23T01:30:35.9062668Z 'code': None, 2022-11-23T01:30:35.9062786Z 'obj_weakref': None 2022-11-23T01:30:35.9062908Z 'guarded_class': None 2022-11-23T01:30:35.9062969Z } 2022-11-23T01:30:35.9063030Z 2022-11-23T01:30:35.9063278Z [2022-11-23 01:25:35,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253 2022-11-23T01:30:35.9063650Z [2022-11-23 01:25:35,570] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g5/cg5vzivec3ponxbnxltyxsyreqyg2pc6lfixklqn4fc6mrxfw5cm.py 2022-11-23T01:30:35.9063914Z [2022-11-23 01:25:35,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253 2022-11-23T01:30:35.9064150Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9064462Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9064677Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9064921Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9065188Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9065500Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9065825Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9066138Z [2022-11-23 01:25:35,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9066384Z [2022-11-23 01:25:35,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9066618Z [2022-11-23 01:25:35,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9066897Z [2022-11-23 01:25:35,577] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9067148Z [2022-11-23 01:25:35,584] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9067336Z [2022-11-23 01:25:35,584] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9067467Z __compiled_fn_261 .2207 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9067554Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9067641Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9067739Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9067744Z 2022-11-23T01:30:35.9068067Z [2022-11-23 01:25:35,585] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9068188Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9068278Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9068365Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9068455Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9068539Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9068614Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9068690Z 12 RETURN_VALUE 2022-11-23T01:30:35.9068695Z 2022-11-23T01:30:35.9068754Z 2022-11-23T01:30:35.9069072Z [2022-11-23 01:25:35,585] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9069178Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_261) 2022-11-23T01:30:35.9069266Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9069353Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9069432Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9069507Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9069595Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9069673Z 12 RETURN_VALUE 2022-11-23T01:30:35.9069677Z 2022-11-23T01:30:35.9069736Z 2022-11-23T01:30:35.9069916Z [2022-11-23 01:25:35,585] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9069985Z - 2022-11-23T01:30:35.9070102Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9070153Z { 2022-11-23T01:30:35.9070293Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9070478Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9070594Z 'obj_weakref': None 2022-11-23T01:30:35.9070817Z 'guarded_class': 2022-11-23T01:30:35.9070879Z } 2022-11-23T01:30:35.9070941Z 2022-11-23T01:30:35.9070998Z - 2022-11-23T01:30:35.9071121Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9071183Z { 2022-11-23T01:30:35.9071328Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9071433Z 'code': None, 2022-11-23T01:30:35.9071645Z 'obj_weakref': 2022-11-23T01:30:35.9071893Z 'guarded_class': 2022-11-23T01:30:35.9071944Z } 2022-11-23T01:30:35.9072006Z 2022-11-23T01:30:35.9072074Z - 2022-11-23T01:30:35.9072192Z local 'model' NN_MODULE 2022-11-23T01:30:35.9072254Z { 2022-11-23T01:30:35.9072385Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9072549Z 'code': ['___check_obj_id(model, 140534624682384)'], 2022-11-23T01:30:35.9072754Z 'obj_weakref': 2022-11-23T01:30:35.9072988Z 'guarded_class': 2022-11-23T01:30:35.9073049Z } 2022-11-23T01:30:35.9073138Z 2022-11-23T01:30:35.9073209Z - 2022-11-23T01:30:35.9073330Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9073391Z { 2022-11-23T01:30:35.9073514Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9073731Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9073848Z 'obj_weakref': None 2022-11-23T01:30:35.9074068Z 'guarded_class': 2022-11-23T01:30:35.9074129Z } 2022-11-23T01:30:35.9074192Z 2022-11-23T01:30:35.9074260Z - 2022-11-23T01:30:35.9074390Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9074453Z { 2022-11-23T01:30:35.9074600Z 'guard_types': None, 2022-11-23T01:30:35.9074705Z 'code': None, 2022-11-23T01:30:35.9074824Z 'obj_weakref': None 2022-11-23T01:30:35.9074945Z 'guarded_class': None 2022-11-23T01:30:35.9075007Z } 2022-11-23T01:30:35.9075057Z 2022-11-23T01:30:35.9075126Z - 2022-11-23T01:30:35.9075270Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9075331Z { 2022-11-23T01:30:35.9075448Z 'guard_types': None, 2022-11-23T01:30:35.9075553Z 'code': None, 2022-11-23T01:30:35.9075657Z 'obj_weakref': None 2022-11-23T01:30:35.9075774Z 'guarded_class': None 2022-11-23T01:30:35.9075835Z } 2022-11-23T01:30:35.9075897Z 2022-11-23T01:30:35.9076157Z [2022-11-23 01:25:35,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254 2022-11-23T01:30:35.9076518Z [2022-11-23 01:25:35,597] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o4/co4blu4adbwct62o2zqz33a5r53sxxsw2m7rf5yoeyrq2mug66bt.py 2022-11-23T01:30:35.9076786Z [2022-11-23 01:25:35,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254 2022-11-23T01:30:35.9077023Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9077336Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9077539Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9077782Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9078048Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9078362Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9078704Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9079014Z [2022-11-23 01:25:35,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9079258Z [2022-11-23 01:25:35,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9079490Z [2022-11-23 01:25:35,610] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9079741Z [2022-11-23 01:25:35,611] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9080045Z [2022-11-23 01:25:35,622] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9080250Z [2022-11-23 01:25:35,622] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9080416Z __compiled_fn_262 .2218 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9080507Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9080606Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9080704Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9080710Z 2022-11-23T01:30:35.9081036Z [2022-11-23 01:25:35,622] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9081129Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9081219Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9081291Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9081381Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9081496Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9081585Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9081661Z 12 RETURN_VALUE 2022-11-23T01:30:35.9081665Z 2022-11-23T01:30:35.9081729Z 2022-11-23T01:30:35.9082051Z [2022-11-23 01:25:35,622] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9082145Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_262) 2022-11-23T01:30:35.9082234Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9082323Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9082397Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9082484Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9082572Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9082646Z 12 RETURN_VALUE 2022-11-23T01:30:35.9082650Z 2022-11-23T01:30:35.9082709Z 2022-11-23T01:30:35.9082880Z [2022-11-23 01:25:35,623] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9082950Z - 2022-11-23T01:30:35.9083068Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9083131Z { 2022-11-23T01:30:35.9083271Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9083454Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9083572Z 'obj_weakref': None 2022-11-23T01:30:35.9083782Z 'guarded_class': 2022-11-23T01:30:35.9083845Z } 2022-11-23T01:30:35.9083908Z 2022-11-23T01:30:35.9083977Z - 2022-11-23T01:30:35.9084097Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9084158Z { 2022-11-23T01:30:35.9084288Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9084393Z 'code': None, 2022-11-23T01:30:35.9084605Z 'obj_weakref': 2022-11-23T01:30:35.9084965Z 'guarded_class': 2022-11-23T01:30:35.9085033Z } 2022-11-23T01:30:35.9085097Z 2022-11-23T01:30:35.9085167Z - 2022-11-23T01:30:35.9085272Z local 'model' NN_MODULE 2022-11-23T01:30:35.9085335Z { 2022-11-23T01:30:35.9085469Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9085635Z 'code': ['___check_obj_id(model, 140534622365696)'], 2022-11-23T01:30:35.9085852Z 'obj_weakref': 2022-11-23T01:30:35.9086083Z 'guarded_class': 2022-11-23T01:30:35.9086145Z } 2022-11-23T01:30:35.9086208Z 2022-11-23T01:30:35.9086264Z - 2022-11-23T01:30:35.9086388Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9086452Z { 2022-11-23T01:30:35.9086588Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9086854Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9086974Z 'obj_weakref': None 2022-11-23T01:30:35.9087195Z 'guarded_class': 2022-11-23T01:30:35.9087245Z } 2022-11-23T01:30:35.9087308Z 2022-11-23T01:30:35.9087378Z - 2022-11-23T01:30:35.9087522Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9087584Z { 2022-11-23T01:30:35.9087703Z 'guard_types': None, 2022-11-23T01:30:35.9087796Z 'code': None, 2022-11-23T01:30:35.9087914Z 'obj_weakref': None 2022-11-23T01:30:35.9088033Z 'guarded_class': None 2022-11-23T01:30:35.9088097Z } 2022-11-23T01:30:35.9088159Z 2022-11-23T01:30:35.9088273Z - 2022-11-23T01:30:35.9088418Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9088467Z { 2022-11-23T01:30:35.9088586Z 'guard_types': None, 2022-11-23T01:30:35.9088691Z 'code': None, 2022-11-23T01:30:35.9088808Z 'obj_weakref': None 2022-11-23T01:30:35.9088927Z 'guarded_class': None 2022-11-23T01:30:35.9088987Z } 2022-11-23T01:30:35.9089049Z 2022-11-23T01:30:35.9089296Z [2022-11-23 01:25:35,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255 2022-11-23T01:30:35.9089301Z 2022-11-23T01:30:35.9089395Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9089462Z import torch 2022-11-23T01:30:35.9089530Z import random 2022-11-23T01:30:35.9089646Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9089766Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9089770Z 2022-11-23T01:30:35.9089851Z aten = torch.ops.aten 2022-11-23T01:30:35.9089985Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9090063Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9090070Z 2022-11-23T01:30:35.9090074Z 2022-11-23T01:30:35.9090161Z async_compile.wait(globals()) 2022-11-23T01:30:35.9090232Z del async_compile 2022-11-23T01:30:35.9090236Z 2022-11-23T01:30:35.9090306Z def call(args): 2022-11-23T01:30:35.9090387Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9090457Z args.clear() 2022-11-23T01:30:35.9090670Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '') 2022-11-23T01:30:35.9090725Z del arg0_1 2022-11-23T01:30:35.9090791Z del arg1_1 2022-11-23T01:30:35.9090856Z del arg2_1 2022-11-23T01:30:35.9090926Z return (buf0, ) 2022-11-23T01:30:35.9090930Z 2022-11-23T01:30:35.9090934Z 2022-11-23T01:30:35.9091011Z if __name__ == "__main__": 2022-11-23T01:30:35.9091123Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9091247Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9091449Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9091635Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9091838Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9091961Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9091966Z 2022-11-23T01:30:35.9091970Z 2022-11-23T01:30:35.9092063Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9092131Z import torch 2022-11-23T01:30:35.9092201Z import random 2022-11-23T01:30:35.9092315Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9092435Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9092439Z 2022-11-23T01:30:35.9092503Z aten = torch.ops.aten 2022-11-23T01:30:35.9092635Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9092729Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9092733Z 2022-11-23T01:30:35.9092738Z 2022-11-23T01:30:35.9092856Z async_compile.wait(globals()) 2022-11-23T01:30:35.9092931Z del async_compile 2022-11-23T01:30:35.9092936Z 2022-11-23T01:30:35.9093006Z def call(args): 2022-11-23T01:30:35.9093080Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9093149Z args.clear() 2022-11-23T01:30:35.9093347Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '') 2022-11-23T01:30:35.9093414Z del arg0_1 2022-11-23T01:30:35.9093482Z del arg1_1 2022-11-23T01:30:35.9093554Z return (buf0, ) 2022-11-23T01:30:35.9093559Z 2022-11-23T01:30:35.9093563Z 2022-11-23T01:30:35.9093638Z if __name__ == "__main__": 2022-11-23T01:30:35.9093749Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9093871Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9094060Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9094293Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9094408Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9094413Z 2022-11-23T01:30:35.9094417Z 2022-11-23T01:30:35.9094509Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9094579Z import torch 2022-11-23T01:30:35.9094648Z import random 2022-11-23T01:30:35.9094760Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9094879Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9094883Z 2022-11-23T01:30:35.9094947Z aten = torch.ops.aten 2022-11-23T01:30:35.9095079Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9095168Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9095173Z 2022-11-23T01:30:35.9095177Z 2022-11-23T01:30:35.9095269Z async_compile.wait(globals()) 2022-11-23T01:30:35.9095340Z del async_compile 2022-11-23T01:30:35.9095347Z 2022-11-23T01:30:35.9095417Z def call(args): 2022-11-23T01:30:35.9095497Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9095568Z args.clear() 2022-11-23T01:30:35.9095767Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '') 2022-11-23T01:30:35.9095834Z del arg0_1 2022-11-23T01:30:35.9095901Z del arg1_1 2022-11-23T01:30:35.9095970Z del arg2_1 2022-11-23T01:30:35.9096040Z return (buf0, ) 2022-11-23T01:30:35.9096045Z 2022-11-23T01:30:35.9096049Z 2022-11-23T01:30:35.9096123Z if __name__ == "__main__": 2022-11-23T01:30:35.9096234Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9096341Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9096542Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9096737Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9096932Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9097057Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9097061Z 2022-11-23T01:30:35.9097068Z 2022-11-23T01:30:35.9097163Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9097232Z import torch 2022-11-23T01:30:35.9097300Z import random 2022-11-23T01:30:35.9097400Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9097518Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9097523Z 2022-11-23T01:30:35.9097599Z aten = torch.ops.aten 2022-11-23T01:30:35.9097731Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9097823Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9097828Z 2022-11-23T01:30:35.9097832Z 2022-11-23T01:30:35.9097920Z async_compile.wait(globals()) 2022-11-23T01:30:35.9097990Z del async_compile 2022-11-23T01:30:35.9097995Z 2022-11-23T01:30:35.9098064Z def call(args): 2022-11-23T01:30:35.9098128Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9098200Z args.clear() 2022-11-23T01:30:35.9098410Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '') 2022-11-23T01:30:35.9098504Z del arg0_1 2022-11-23T01:30:35.9098571Z del arg1_1 2022-11-23T01:30:35.9098642Z return (buf0, ) 2022-11-23T01:30:35.9098647Z 2022-11-23T01:30:35.9098651Z 2022-11-23T01:30:35.9098725Z if __name__ == "__main__": 2022-11-23T01:30:35.9098835Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9098942Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9099140Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9099337Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9099449Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9099453Z 2022-11-23T01:30:35.9099457Z 2022-11-23T01:30:35.9099550Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9099645Z import torch 2022-11-23T01:30:35.9099715Z import random 2022-11-23T01:30:35.9099816Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9099937Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9099942Z 2022-11-23T01:30:35.9100019Z aten = torch.ops.aten 2022-11-23T01:30:35.9100150Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9100240Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9100245Z 2022-11-23T01:30:35.9100249Z 2022-11-23T01:30:35.9100337Z async_compile.wait(globals()) 2022-11-23T01:30:35.9100409Z del async_compile 2022-11-23T01:30:35.9100414Z 2022-11-23T01:30:35.9100484Z def call(args): 2022-11-23T01:30:35.9100551Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9100621Z args.clear() 2022-11-23T01:30:35.9100840Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '') 2022-11-23T01:30:35.9100906Z del arg0_1 2022-11-23T01:30:35.9100973Z del arg1_1 2022-11-23T01:30:35.9101038Z del arg2_1 2022-11-23T01:30:35.9101107Z return (buf0, ) 2022-11-23T01:30:35.9101112Z 2022-11-23T01:30:35.9101116Z 2022-11-23T01:30:35.9101192Z if __name__ == "__main__": 2022-11-23T01:30:35.9101289Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9101407Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9101605Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9101872Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9102121Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9102242Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9102247Z 2022-11-23T01:30:35.9102251Z 2022-11-23T01:30:35.9102343Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9102412Z import torch 2022-11-23T01:30:35.9102467Z import random 2022-11-23T01:30:35.9102582Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9102699Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9102704Z 2022-11-23T01:30:35.9102783Z aten = torch.ops.aten 2022-11-23T01:30:35.9102914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9103003Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9103007Z 2022-11-23T01:30:35.9103011Z 2022-11-23T01:30:35.9103095Z async_compile.wait(globals()) 2022-11-23T01:30:35.9103165Z del async_compile 2022-11-23T01:30:35.9103170Z 2022-11-23T01:30:35.9103227Z def call(args): 2022-11-23T01:30:35.9103299Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9103369Z args.clear() 2022-11-23T01:30:35.9103582Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '') 2022-11-23T01:30:35.9103649Z del arg0_1 2022-11-23T01:30:35.9103713Z del arg1_1 2022-11-23T01:30:35.9103782Z return (buf0, ) 2022-11-23T01:30:35.9103789Z 2022-11-23T01:30:35.9103793Z 2022-11-23T01:30:35.9103855Z if __name__ == "__main__": 2022-11-23T01:30:35.9103966Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9104129Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9104328Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9104532Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9104643Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9104647Z 2022-11-23T01:30:35.9104651Z 2022-11-23T01:30:35.9104743Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9104810Z import torch 2022-11-23T01:30:35.9104866Z import random 2022-11-23T01:30:35.9104976Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9105092Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9105097Z 2022-11-23T01:30:35.9105174Z aten = torch.ops.aten 2022-11-23T01:30:35.9105336Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9105425Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9105430Z 2022-11-23T01:30:35.9105434Z 2022-11-23T01:30:35.9105521Z async_compile.wait(globals()) 2022-11-23T01:30:35.9105591Z del async_compile 2022-11-23T01:30:35.9105596Z 2022-11-23T01:30:35.9105653Z def call(args): 2022-11-23T01:30:35.9105733Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9105802Z args.clear() 2022-11-23T01:30:35.9106017Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '') 2022-11-23T01:30:35.9106083Z del arg0_1 2022-11-23T01:30:35.9106147Z del arg1_1 2022-11-23T01:30:35.9106211Z del arg2_1 2022-11-23T01:30:35.9106269Z return (buf0, ) 2022-11-23T01:30:35.9106274Z 2022-11-23T01:30:35.9106278Z 2022-11-23T01:30:35.9106353Z if __name__ == "__main__": 2022-11-23T01:30:35.9106461Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9106582Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9106784Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9106979Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9107174Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9107296Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9107300Z 2022-11-23T01:30:35.9107304Z 2022-11-23T01:30:35.9107394Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9107451Z import torch 2022-11-23T01:30:35.9107520Z import random 2022-11-23T01:30:35.9107632Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9107750Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9107755Z 2022-11-23T01:30:35.9107831Z aten = torch.ops.aten 2022-11-23T01:30:35.9107961Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9108052Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9108057Z 2022-11-23T01:30:35.9108061Z 2022-11-23T01:30:35.9108134Z async_compile.wait(globals()) 2022-11-23T01:30:35.9108209Z del async_compile 2022-11-23T01:30:35.9108214Z 2022-11-23T01:30:35.9108283Z def call(args): 2022-11-23T01:30:35.9108355Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9108426Z args.clear() 2022-11-23T01:30:35.9108641Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '') 2022-11-23T01:30:35.9108707Z del arg0_1 2022-11-23T01:30:35.9108760Z del arg1_1 2022-11-23T01:30:35.9108830Z return (buf0, ) 2022-11-23T01:30:35.9108835Z 2022-11-23T01:30:35.9108839Z 2022-11-23T01:30:35.9108913Z if __name__ == "__main__": 2022-11-23T01:30:35.9109023Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9109142Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9109340Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9109539Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9109651Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9109685Z 2022-11-23T01:30:35.9110061Z [2022-11-23 01:25:35,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2apdhnn52zmzzvu3girdwutbvkoaez5wcdt4icxf64ruw2ebib.py 2022-11-23T01:30:35.9110314Z [2022-11-23 01:25:35,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255 2022-11-23T01:30:35.9110551Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9110861Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9111076Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9111346Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9111617Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9111929Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9112265Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9112678Z [2022-11-23 01:25:35,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9112969Z [2022-11-23 01:25:35,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9113261Z [2022-11-23 01:25:35,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9113519Z [2022-11-23 01:25:35,645] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9113769Z [2022-11-23 01:25:35,651] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9113958Z [2022-11-23 01:25:35,651] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9114090Z __compiled_fn_263 .2229 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9114178Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9114277Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9114375Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9114380Z 2022-11-23T01:30:35.9114693Z [2022-11-23 01:25:35,652] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9114785Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9114877Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9114964Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9115057Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9115141Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9115228Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9115326Z 12 RETURN_VALUE 2022-11-23T01:30:35.9115330Z 2022-11-23T01:30:35.9115378Z 2022-11-23T01:30:35.9115698Z [2022-11-23 01:25:35,652] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9115804Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_263) 2022-11-23T01:30:35.9115892Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9115982Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9116056Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9116145Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9116222Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9116294Z 12 RETURN_VALUE 2022-11-23T01:30:35.9116338Z 2022-11-23T01:30:35.9116400Z 2022-11-23T01:30:35.9116581Z [2022-11-23 01:25:35,653] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9116650Z - 2022-11-23T01:30:35.9116767Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9116829Z { 2022-11-23T01:30:35.9116955Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9117139Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9117256Z 'obj_weakref': None 2022-11-23T01:30:35.9117480Z 'guarded_class': 2022-11-23T01:30:35.9117543Z } 2022-11-23T01:30:35.9117606Z 2022-11-23T01:30:35.9117674Z - 2022-11-23T01:30:35.9117783Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9117875Z { 2022-11-23T01:30:35.9118016Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9118121Z 'code': None, 2022-11-23T01:30:35.9118335Z 'obj_weakref': 2022-11-23T01:30:35.9118585Z 'guarded_class': 2022-11-23T01:30:35.9118647Z } 2022-11-23T01:30:35.9118709Z 2022-11-23T01:30:35.9118765Z - 2022-11-23T01:30:35.9118884Z local 'model' NN_MODULE 2022-11-23T01:30:35.9118946Z { 2022-11-23T01:30:35.9119079Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9119245Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.9119461Z 'obj_weakref': 2022-11-23T01:30:35.9119692Z 'guarded_class': 2022-11-23T01:30:35.9119745Z } 2022-11-23T01:30:35.9119807Z 2022-11-23T01:30:35.9119877Z - 2022-11-23T01:30:35.9120076Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9120141Z { 2022-11-23T01:30:35.9120277Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9120493Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9120597Z 'obj_weakref': None 2022-11-23T01:30:35.9120819Z 'guarded_class': 2022-11-23T01:30:35.9120881Z } 2022-11-23T01:30:35.9120943Z 2022-11-23T01:30:35.9121012Z - 2022-11-23T01:30:35.9121157Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9121218Z { 2022-11-23T01:30:35.9121323Z 'guard_types': None, 2022-11-23T01:30:35.9121431Z 'code': None, 2022-11-23T01:30:35.9121547Z 'obj_weakref': None 2022-11-23T01:30:35.9121668Z 'guarded_class': None 2022-11-23T01:30:35.9121733Z } 2022-11-23T01:30:35.9121794Z 2022-11-23T01:30:35.9121848Z - 2022-11-23T01:30:35.9121993Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9122053Z { 2022-11-23T01:30:35.9122171Z 'guard_types': None, 2022-11-23T01:30:35.9122276Z 'code': None, 2022-11-23T01:30:35.9122390Z 'obj_weakref': None 2022-11-23T01:30:35.9122508Z 'guarded_class': None 2022-11-23T01:30:35.9122557Z } 2022-11-23T01:30:35.9122618Z 2022-11-23T01:30:35.9122876Z [2022-11-23 01:25:35,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256 2022-11-23T01:30:35.9123245Z [2022-11-23 01:25:35,665] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5x/c5xb7htfbqrfpkpnhuyghla7z2zooubvvftz4m5ahr3lnb2tvkbq.py 2022-11-23T01:30:35.9123551Z [2022-11-23 01:25:35,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256 2022-11-23T01:30:35.9123862Z [2022-11-23 01:25:35,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9124230Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9124447Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9124688Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9125044Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9125355Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9125774Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9126087Z [2022-11-23 01:25:35,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9126334Z [2022-11-23 01:25:35,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9126567Z [2022-11-23 01:25:35,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9126820Z [2022-11-23 01:25:35,677] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9127068Z [2022-11-23 01:25:35,688] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9127258Z [2022-11-23 01:25:35,689] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9127378Z __compiled_fn_264 .2240 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9127471Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9127570Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9127668Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9127674Z 2022-11-23T01:30:35.9128004Z [2022-11-23 01:25:35,689] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9128100Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9128189Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9128275Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9128353Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9128437Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9128526Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9128602Z 12 RETURN_VALUE 2022-11-23T01:30:35.9128607Z 2022-11-23T01:30:35.9128668Z 2022-11-23T01:30:35.9128990Z [2022-11-23 01:25:35,689] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9129096Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_264) 2022-11-23T01:30:35.9129188Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9129265Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9129342Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9129431Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9129522Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9129596Z 12 RETURN_VALUE 2022-11-23T01:30:35.9129601Z 2022-11-23T01:30:35.9129660Z 2022-11-23T01:30:35.9129842Z [2022-11-23 01:25:35,690] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9129902Z - 2022-11-23T01:30:35.9130021Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9130083Z { 2022-11-23T01:30:35.9130260Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9130450Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9130568Z 'obj_weakref': None 2022-11-23T01:30:35.9130792Z 'guarded_class': 2022-11-23T01:30:35.9130843Z } 2022-11-23T01:30:35.9130907Z 2022-11-23T01:30:35.9130976Z - 2022-11-23T01:30:35.9131100Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9131162Z { 2022-11-23T01:30:35.9131302Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9131408Z 'code': None, 2022-11-23T01:30:35.9131606Z 'obj_weakref': 2022-11-23T01:30:35.9131902Z 'guarded_class': 2022-11-23T01:30:35.9131965Z } 2022-11-23T01:30:35.9132029Z 2022-11-23T01:30:35.9132100Z - 2022-11-23T01:30:35.9132218Z local 'model' NN_MODULE 2022-11-23T01:30:35.9132280Z { 2022-11-23T01:30:35.9132400Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9132569Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.9132787Z 'obj_weakref': 2022-11-23T01:30:35.9133019Z 'guarded_class': 2022-11-23T01:30:35.9133083Z } 2022-11-23T01:30:35.9133146Z 2022-11-23T01:30:35.9133214Z - 2022-11-23T01:30:35.9133322Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9133386Z { 2022-11-23T01:30:35.9133525Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9133743Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9133865Z 'obj_weakref': None 2022-11-23T01:30:35.9134087Z 'guarded_class': 2022-11-23T01:30:35.9134152Z } 2022-11-23T01:30:35.9134201Z 2022-11-23T01:30:35.9134271Z - 2022-11-23T01:30:35.9134413Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9134477Z { 2022-11-23T01:30:35.9134595Z 'guard_types': None, 2022-11-23T01:30:35.9134702Z 'code': None, 2022-11-23T01:30:35.9134819Z 'obj_weakref': None 2022-11-23T01:30:35.9134928Z 'guarded_class': None 2022-11-23T01:30:35.9134991Z } 2022-11-23T01:30:35.9135054Z 2022-11-23T01:30:35.9135124Z - 2022-11-23T01:30:35.9135268Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9135333Z { 2022-11-23T01:30:35.9135450Z 'guard_types': None, 2022-11-23T01:30:35.9135544Z 'code': None, 2022-11-23T01:30:35.9135660Z 'obj_weakref': None 2022-11-23T01:30:35.9135780Z 'guarded_class': None 2022-11-23T01:30:35.9135843Z } 2022-11-23T01:30:35.9135904Z 2022-11-23T01:30:35.9136164Z [2022-11-23 01:25:35,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257 2022-11-23T01:30:35.9136526Z [2022-11-23 01:25:35,703] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/th/cth4hsps65jo7b5v2ih5rmkfvncez44rw7jwjt7kwrintvkgknvj.py 2022-11-23T01:30:35.9136777Z [2022-11-23 01:25:35,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257 2022-11-23T01:30:35.9137013Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9137332Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9137576Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9137820Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9138086Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9138398Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9138733Z [2022-11-23 01:25:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9139043Z [2022-11-23 01:25:35,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9139321Z [2022-11-23 01:25:35,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9139541Z [2022-11-23 01:25:35,710] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9139796Z [2022-11-23 01:25:35,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9140044Z [2022-11-23 01:25:35,716] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9140231Z [2022-11-23 01:25:35,716] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9140365Z __compiled_fn_265 .2251 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9140454Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9140553Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9140654Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9140659Z 2022-11-23T01:30:35.9140983Z [2022-11-23 01:25:35,717] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9141064Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9141153Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9141241Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9141332Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9141418Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9141503Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9141579Z 12 RETURN_VALUE 2022-11-23T01:30:35.9141584Z 2022-11-23T01:30:35.9141633Z 2022-11-23T01:30:35.9141954Z [2022-11-23 01:25:35,717] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9142062Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_265) 2022-11-23T01:30:35.9142151Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9142242Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9142318Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9142403Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9142538Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9142599Z 12 RETURN_VALUE 2022-11-23T01:30:35.9142604Z 2022-11-23T01:30:35.9142663Z 2022-11-23T01:30:35.9142846Z [2022-11-23 01:25:35,718] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9142917Z - 2022-11-23T01:30:35.9143035Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9143095Z { 2022-11-23T01:30:35.9143234Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9143408Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9143527Z 'obj_weakref': None 2022-11-23T01:30:35.9143751Z 'guarded_class': 2022-11-23T01:30:35.9143840Z } 2022-11-23T01:30:35.9143906Z 2022-11-23T01:30:35.9143974Z - 2022-11-23T01:30:35.9144096Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9144146Z { 2022-11-23T01:30:35.9144286Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9144391Z 'code': None, 2022-11-23T01:30:35.9144604Z 'obj_weakref': 2022-11-23T01:30:35.9144853Z 'guarded_class': 2022-11-23T01:30:35.9144916Z } 2022-11-23T01:30:35.9144978Z 2022-11-23T01:30:35.9145034Z - 2022-11-23T01:30:35.9145153Z local 'model' NN_MODULE 2022-11-23T01:30:35.9145216Z { 2022-11-23T01:30:35.9145408Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9145575Z 'code': ['___check_obj_id(model, 140534429818576)'], 2022-11-23T01:30:35.9145794Z 'obj_weakref': 2022-11-23T01:30:35.9146029Z 'guarded_class': 2022-11-23T01:30:35.9146080Z } 2022-11-23T01:30:35.9146143Z 2022-11-23T01:30:35.9146211Z - 2022-11-23T01:30:35.9146334Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9146395Z { 2022-11-23T01:30:35.9146529Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9146742Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9146847Z 'obj_weakref': None 2022-11-23T01:30:35.9147069Z 'guarded_class': 2022-11-23T01:30:35.9147136Z } 2022-11-23T01:30:35.9147199Z 2022-11-23T01:30:35.9147266Z - 2022-11-23T01:30:35.9147414Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9147477Z { 2022-11-23T01:30:35.9147583Z 'guard_types': None, 2022-11-23T01:30:35.9147689Z 'code': None, 2022-11-23T01:30:35.9147805Z 'obj_weakref': None 2022-11-23T01:30:35.9147924Z 'guarded_class': None 2022-11-23T01:30:35.9147986Z } 2022-11-23T01:30:35.9148047Z 2022-11-23T01:30:35.9148103Z - 2022-11-23T01:30:35.9148246Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9148307Z { 2022-11-23T01:30:35.9148423Z 'guard_types': None, 2022-11-23T01:30:35.9148527Z 'code': None, 2022-11-23T01:30:35.9148642Z 'obj_weakref': None 2022-11-23T01:30:35.9148761Z 'guarded_class': None 2022-11-23T01:30:35.9148813Z } 2022-11-23T01:30:35.9148877Z 2022-11-23T01:30:35.9149139Z [2022-11-23 01:25:35,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258 2022-11-23T01:30:35.9149507Z [2022-11-23 01:25:35,729] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhvryaz27cqwmorucrakf5muvvtcndgek474hmwkazhodvocyvp.py 2022-11-23T01:30:35.9149771Z [2022-11-23 01:25:35,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258 2022-11-23T01:30:35.9150006Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9150317Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9150532Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9150774Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9151058Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9151371Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9151706Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9152017Z [2022-11-23 01:25:35,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9152265Z [2022-11-23 01:25:35,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9152498Z [2022-11-23 01:25:35,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9152778Z [2022-11-23 01:25:35,746] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9153027Z [2022-11-23 01:25:35,762] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9153214Z [2022-11-23 01:25:35,762] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9153345Z __compiled_fn_266 .2262 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9153421Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9153520Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9153617Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9153622Z 2022-11-23T01:30:35.9153944Z [2022-11-23 01:25:35,762] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9154035Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9154125Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9154209Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9154289Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9154373Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9154460Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9154533Z 12 RETURN_VALUE 2022-11-23T01:30:35.9154538Z 2022-11-23T01:30:35.9154598Z 2022-11-23T01:30:35.9154916Z [2022-11-23 01:25:35,763] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9155022Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_266) 2022-11-23T01:30:35.9155110Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9155186Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9155261Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9155398Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9155487Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9155561Z 12 RETURN_VALUE 2022-11-23T01:30:35.9155566Z 2022-11-23T01:30:35.9155628Z 2022-11-23T01:30:35.9155808Z [2022-11-23 01:25:35,763] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9155864Z - 2022-11-23T01:30:35.9155982Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9156045Z { 2022-11-23T01:30:35.9156183Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9156366Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9156483Z 'obj_weakref': None 2022-11-23T01:30:35.9156706Z 'guarded_class': 2022-11-23T01:30:35.9156758Z } 2022-11-23T01:30:35.9156820Z 2022-11-23T01:30:35.9156889Z - 2022-11-23T01:30:35.9157011Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9157075Z { 2022-11-23T01:30:35.9157216Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9157321Z 'code': None, 2022-11-23T01:30:35.9157549Z 'obj_weakref': 2022-11-23T01:30:35.9157802Z 'guarded_class': 2022-11-23T01:30:35.9157866Z } 2022-11-23T01:30:35.9157929Z 2022-11-23T01:30:35.9157997Z - 2022-11-23T01:30:35.9158115Z local 'model' NN_MODULE 2022-11-23T01:30:35.9158177Z { 2022-11-23T01:30:35.9158296Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9158463Z 'code': ['___check_obj_id(model, 140534622371360)'], 2022-11-23T01:30:35.9158681Z 'obj_weakref': 2022-11-23T01:30:35.9158912Z 'guarded_class': 2022-11-23T01:30:35.9159002Z } 2022-11-23T01:30:35.9159064Z 2022-11-23T01:30:35.9159131Z - 2022-11-23T01:30:35.9159242Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9159305Z { 2022-11-23T01:30:35.9159439Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9159655Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9159772Z 'obj_weakref': None 2022-11-23T01:30:35.9160077Z 'guarded_class': 2022-11-23T01:30:35.9160143Z } 2022-11-23T01:30:35.9160204Z 2022-11-23T01:30:35.9160265Z - 2022-11-23T01:30:35.9160410Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9160472Z { 2022-11-23T01:30:35.9160591Z 'guard_types': None, 2022-11-23T01:30:35.9160699Z 'code': None, 2022-11-23T01:30:35.9160814Z 'obj_weakref': None 2022-11-23T01:30:35.9160922Z 'guarded_class': None 2022-11-23T01:30:35.9160988Z } 2022-11-23T01:30:35.9161049Z 2022-11-23T01:30:35.9161117Z - 2022-11-23T01:30:35.9161261Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9161326Z { 2022-11-23T01:30:35.9161445Z 'guard_types': None, 2022-11-23T01:30:35.9161537Z 'code': None, 2022-11-23T01:30:35.9161653Z 'obj_weakref': None 2022-11-23T01:30:35.9161773Z 'guarded_class': None 2022-11-23T01:30:35.9161836Z } 2022-11-23T01:30:35.9161898Z 2022-11-23T01:30:35.9162159Z [2022-11-23 01:25:35,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259 2022-11-23T01:30:35.9162520Z [2022-11-23 01:25:35,777] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2v/c2vxs7sb7moagrv6mmhq7y5aci4x2dpsvh37a4ycez77htfymmtq.py 2022-11-23T01:30:35.9162778Z [2022-11-23 01:25:35,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259 2022-11-23T01:30:35.9163014Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9163325Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9163541Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9163784Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9164049Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9164362Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9164732Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9165236Z [2022-11-23 01:25:35,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9165480Z [2022-11-23 01:25:35,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9165699Z [2022-11-23 01:25:35,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9165951Z [2022-11-23 01:25:35,789] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9166198Z [2022-11-23 01:25:35,799] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9166434Z [2022-11-23 01:25:35,799] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9166568Z __compiled_fn_267 .2273 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9166659Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9166758Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9166856Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9166862Z 2022-11-23T01:30:35.9167187Z [2022-11-23 01:25:35,799] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9167267Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9167356Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9167441Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9167533Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9167618Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9167708Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9167783Z 12 RETURN_VALUE 2022-11-23T01:30:35.9167789Z 2022-11-23T01:30:35.9167837Z 2022-11-23T01:30:35.9168162Z [2022-11-23 01:25:35,799] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9168268Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_267) 2022-11-23T01:30:35.9168358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9168447Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9168523Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9168608Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9168696Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9168757Z 12 RETURN_VALUE 2022-11-23T01:30:35.9168762Z 2022-11-23T01:30:35.9168821Z 2022-11-23T01:30:35.9169000Z [2022-11-23 01:25:35,800] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9169073Z - 2022-11-23T01:30:35.9169191Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9169253Z { 2022-11-23T01:30:35.9169392Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9169565Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9169685Z 'obj_weakref': None 2022-11-23T01:30:35.9169908Z 'guarded_class': 2022-11-23T01:30:35.9169971Z } 2022-11-23T01:30:35.9170033Z 2022-11-23T01:30:35.9170103Z - 2022-11-23T01:30:35.9170225Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9170275Z { 2022-11-23T01:30:35.9170418Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9170523Z 'code': None, 2022-11-23T01:30:35.9170737Z 'obj_weakref': 2022-11-23T01:30:35.9170991Z 'guarded_class': 2022-11-23T01:30:35.9171054Z } 2022-11-23T01:30:35.9171116Z 2022-11-23T01:30:35.9171209Z - 2022-11-23T01:30:35.9171330Z local 'model' NN_MODULE 2022-11-23T01:30:35.9171394Z { 2022-11-23T01:30:35.9171530Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9171697Z 'code': ['___check_obj_id(model, 140534623435552)'], 2022-11-23T01:30:35.9171916Z 'obj_weakref': 2022-11-23T01:30:35.9172153Z 'guarded_class': 2022-11-23T01:30:35.9172203Z } 2022-11-23T01:30:35.9172266Z 2022-11-23T01:30:35.9172334Z - 2022-11-23T01:30:35.9172453Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9172519Z { 2022-11-23T01:30:35.9172683Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9172898Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9173006Z 'obj_weakref': None 2022-11-23T01:30:35.9173229Z 'guarded_class': 2022-11-23T01:30:35.9173292Z } 2022-11-23T01:30:35.9173355Z 2022-11-23T01:30:35.9173424Z - 2022-11-23T01:30:35.9173567Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9173629Z { 2022-11-23T01:30:35.9173735Z 'guard_types': None, 2022-11-23T01:30:35.9173841Z 'code': None, 2022-11-23T01:30:35.9173956Z 'obj_weakref': None 2022-11-23T01:30:35.9174075Z 'guarded_class': None 2022-11-23T01:30:35.9174140Z } 2022-11-23T01:30:35.9174202Z 2022-11-23T01:30:35.9174268Z - 2022-11-23T01:30:35.9174398Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9174462Z { 2022-11-23T01:30:35.9174580Z 'guard_types': None, 2022-11-23T01:30:35.9174685Z 'code': None, 2022-11-23T01:30:35.9174802Z 'obj_weakref': None 2022-11-23T01:30:35.9174922Z 'guarded_class': None 2022-11-23T01:30:35.9174971Z } 2022-11-23T01:30:35.9175034Z 2022-11-23T01:30:35.9175293Z [2022-11-23 01:25:35,810] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260 2022-11-23T01:30:35.9175668Z [2022-11-23 01:25:35,812] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/st/cstgw2hrswoqofpue4onq7fueiwbbdk7kxnkdruhfgltrgr6hiz6.py 2022-11-23T01:30:35.9175930Z [2022-11-23 01:25:35,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260 2022-11-23T01:30:35.9176165Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9176480Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9176699Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9176941Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9177195Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9177510Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9177849Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9178162Z [2022-11-23 01:25:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9178435Z [2022-11-23 01:25:35,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9178672Z [2022-11-23 01:25:35,828] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9178926Z [2022-11-23 01:25:35,828] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9179174Z [2022-11-23 01:25:35,843] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9179362Z [2022-11-23 01:25:35,843] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9179495Z __compiled_fn_268 .2284 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9179571Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9179672Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9179817Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9179822Z 2022-11-23T01:30:35.9180149Z [2022-11-23 01:25:35,844] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9180242Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9180334Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9180420Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9180511Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9180583Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9180669Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9180746Z 12 RETURN_VALUE 2022-11-23T01:30:35.9180751Z 2022-11-23T01:30:35.9180811Z 2022-11-23T01:30:35.9181133Z [2022-11-23 01:25:35,844] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9181242Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_268) 2022-11-23T01:30:35.9181332Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9181410Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9181489Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9181576Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9181667Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9181742Z 12 RETURN_VALUE 2022-11-23T01:30:35.9181747Z 2022-11-23T01:30:35.9181808Z 2022-11-23T01:30:35.9181989Z [2022-11-23 01:25:35,845] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9182058Z - 2022-11-23T01:30:35.9182162Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9182227Z { 2022-11-23T01:30:35.9182370Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9182555Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9182676Z 'obj_weakref': None 2022-11-23T01:30:35.9182899Z 'guarded_class': 2022-11-23T01:30:35.9182965Z } 2022-11-23T01:30:35.9183017Z 2022-11-23T01:30:35.9183086Z - 2022-11-23T01:30:35.9183208Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9183271Z { 2022-11-23T01:30:35.9183410Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9183515Z 'code': None, 2022-11-23T01:30:35.9183712Z 'obj_weakref': 2022-11-23T01:30:35.9183963Z 'guarded_class': 2022-11-23T01:30:35.9184025Z } 2022-11-23T01:30:35.9184088Z 2022-11-23T01:30:35.9184157Z - 2022-11-23T01:30:35.9184273Z local 'model' NN_MODULE 2022-11-23T01:30:35.9184335Z { 2022-11-23T01:30:35.9184459Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9184626Z 'code': ['___check_obj_id(model, 140534429508336)'], 2022-11-23T01:30:35.9184878Z 'obj_weakref': 2022-11-23T01:30:35.9185112Z 'guarded_class': 2022-11-23T01:30:35.9185176Z } 2022-11-23T01:30:35.9185238Z 2022-11-23T01:30:35.9185305Z - 2022-11-23T01:30:35.9185427Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9185477Z { 2022-11-23T01:30:35.9185611Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9185826Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9185944Z 'obj_weakref': None 2022-11-23T01:30:35.9186167Z 'guarded_class': 2022-11-23T01:30:35.9186256Z } 2022-11-23T01:30:35.9186318Z 2022-11-23T01:30:35.9186374Z - 2022-11-23T01:30:35.9186520Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9186585Z { 2022-11-23T01:30:35.9186703Z 'guard_types': None, 2022-11-23T01:30:35.9186808Z 'code': None, 2022-11-23T01:30:35.9186925Z 'obj_weakref': None 2022-11-23T01:30:35.9187031Z 'guarded_class': None 2022-11-23T01:30:35.9187093Z } 2022-11-23T01:30:35.9187154Z 2022-11-23T01:30:35.9187224Z - 2022-11-23T01:30:35.9187367Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9187429Z { 2022-11-23T01:30:35.9187545Z 'guard_types': None, 2022-11-23T01:30:35.9187637Z 'code': None, 2022-11-23T01:30:35.9187752Z 'obj_weakref': None 2022-11-23T01:30:35.9187870Z 'guarded_class': None 2022-11-23T01:30:35.9187936Z } 2022-11-23T01:30:35.9187998Z 2022-11-23T01:30:35.9188259Z [2022-11-23 01:25:35,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261 2022-11-23T01:30:35.9188629Z [2022-11-23 01:25:35,858] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ld/cldrn4yquh7jljfgkz6tnwinn2m6p3q4lsshm6vd5cfky3zmkd6n.py 2022-11-23T01:30:35.9188890Z [2022-11-23 01:25:35,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261 2022-11-23T01:30:35.9189114Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9189426Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9189639Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9189882Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9190151Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9190462Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9190797Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9191108Z [2022-11-23 01:25:35,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9191352Z [2022-11-23 01:25:35,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9191582Z [2022-11-23 01:25:35,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9191824Z [2022-11-23 01:25:35,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9192100Z [2022-11-23 01:25:35,879] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9192289Z [2022-11-23 01:25:35,880] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9192424Z __compiled_fn_269 .2295 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9192513Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9192611Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9192709Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9192714Z 2022-11-23T01:30:35.9193038Z [2022-11-23 01:25:35,880] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9193119Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9193235Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9193319Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9193414Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9193498Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9193585Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9193660Z 12 RETURN_VALUE 2022-11-23T01:30:35.9193665Z 2022-11-23T01:30:35.9193712Z 2022-11-23T01:30:35.9194031Z [2022-11-23 01:25:35,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9194137Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_269) 2022-11-23T01:30:35.9194225Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9194313Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9194389Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9194478Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9194568Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9194629Z 12 RETURN_VALUE 2022-11-23T01:30:35.9194634Z 2022-11-23T01:30:35.9194696Z 2022-11-23T01:30:35.9194877Z [2022-11-23 01:25:35,881] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9194946Z - 2022-11-23T01:30:35.9195063Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9195126Z { 2022-11-23T01:30:35.9195263Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9195435Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9195554Z 'obj_weakref': None 2022-11-23T01:30:35.9195775Z 'guarded_class': 2022-11-23T01:30:35.9195837Z } 2022-11-23T01:30:35.9195900Z 2022-11-23T01:30:35.9195968Z - 2022-11-23T01:30:35.9196089Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9196142Z { 2022-11-23T01:30:35.9196285Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9196390Z 'code': None, 2022-11-23T01:30:35.9196604Z 'obj_weakref': 2022-11-23T01:30:35.9196854Z 'guarded_class': 2022-11-23T01:30:35.9196917Z } 2022-11-23T01:30:35.9196979Z 2022-11-23T01:30:35.9197035Z - 2022-11-23T01:30:35.9197153Z local 'model' NN_MODULE 2022-11-23T01:30:35.9197217Z { 2022-11-23T01:30:35.9197349Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9197516Z 'code': ['___check_obj_id(model, 140537192002608)'], 2022-11-23T01:30:35.9197731Z 'obj_weakref': 2022-11-23T01:30:35.9197962Z 'guarded_class': 2022-11-23T01:30:35.9198016Z } 2022-11-23T01:30:35.9198079Z 2022-11-23T01:30:35.9198146Z - 2022-11-23T01:30:35.9198301Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9198367Z { 2022-11-23T01:30:35.9198501Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9198714Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9198820Z 'obj_weakref': None 2022-11-23T01:30:35.9199043Z 'guarded_class': 2022-11-23T01:30:35.9199105Z } 2022-11-23T01:30:35.9199167Z 2022-11-23T01:30:35.9199234Z - 2022-11-23T01:30:35.9199379Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9199441Z { 2022-11-23T01:30:35.9199547Z 'guard_types': None, 2022-11-23T01:30:35.9199682Z 'code': None, 2022-11-23T01:30:35.9199799Z 'obj_weakref': None 2022-11-23T01:30:35.9199917Z 'guarded_class': None 2022-11-23T01:30:35.9200056Z } 2022-11-23T01:30:35.9200123Z 2022-11-23T01:30:35.9200193Z - 2022-11-23T01:30:35.9200325Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9200387Z { 2022-11-23T01:30:35.9200507Z 'guard_types': None, 2022-11-23T01:30:35.9200611Z 'code': None, 2022-11-23T01:30:35.9200728Z 'obj_weakref': None 2022-11-23T01:30:35.9200848Z 'guarded_class': None 2022-11-23T01:30:35.9200910Z } 2022-11-23T01:30:35.9200960Z 2022-11-23T01:30:35.9201220Z [2022-11-23 01:25:35,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262 2022-11-23T01:30:35.9201594Z [2022-11-23 01:25:35,893] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yjatcqfmcpwhicrssyexstgcwt3ixar5e63pgavc3anpch7jwm.py 2022-11-23T01:30:35.9201860Z [2022-11-23 01:25:35,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262 2022-11-23T01:30:35.9202097Z [2022-11-23 01:25:35,896] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9202413Z [2022-11-23 01:25:35,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9202629Z [2022-11-23 01:25:35,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9202869Z [2022-11-23 01:25:35,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9203134Z [2022-11-23 01:25:35,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9203432Z [2022-11-23 01:25:35,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9203775Z [2022-11-23 01:25:35,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9204085Z [2022-11-23 01:25:35,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9204330Z [2022-11-23 01:25:35,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9204562Z [2022-11-23 01:25:35,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9204895Z [2022-11-23 01:25:35,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9205147Z [2022-11-23 01:25:35,917] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9205340Z [2022-11-23 01:25:35,918] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9205473Z __compiled_fn_270 .2306 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9205598Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9205700Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9205798Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9205803Z 2022-11-23T01:30:35.9206126Z [2022-11-23 01:25:35,918] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9206221Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9206310Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9206396Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9206486Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9206557Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9206678Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9206755Z 12 RETURN_VALUE 2022-11-23T01:30:35.9206760Z 2022-11-23T01:30:35.9206821Z 2022-11-23T01:30:35.9207146Z [2022-11-23 01:25:35,918] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9207254Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_270) 2022-11-23T01:30:35.9207343Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9207433Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9207495Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9207581Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9207668Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9207743Z 12 RETURN_VALUE 2022-11-23T01:30:35.9207748Z 2022-11-23T01:30:35.9207807Z 2022-11-23T01:30:35.9207986Z [2022-11-23 01:25:35,919] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9208057Z - 2022-11-23T01:30:35.9208162Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9208225Z { 2022-11-23T01:30:35.9208364Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9208550Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9208669Z 'obj_weakref': None 2022-11-23T01:30:35.9208890Z 'guarded_class': 2022-11-23T01:30:35.9208953Z } 2022-11-23T01:30:35.9209003Z 2022-11-23T01:30:35.9209071Z - 2022-11-23T01:30:35.9209193Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9209255Z { 2022-11-23T01:30:35.9209396Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9209501Z 'code': None, 2022-11-23T01:30:35.9209713Z 'obj_weakref': 2022-11-23T01:30:35.9209954Z 'guarded_class': 2022-11-23T01:30:35.9210018Z } 2022-11-23T01:30:35.9210079Z 2022-11-23T01:30:35.9210151Z - 2022-11-23T01:30:35.9210267Z local 'model' NN_MODULE 2022-11-23T01:30:35.9210330Z { 2022-11-23T01:30:35.9210461Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9210616Z 'code': ['___check_obj_id(model, 140534429508336)'], 2022-11-23T01:30:35.9210832Z 'obj_weakref': 2022-11-23T01:30:35.9211063Z 'guarded_class': 2022-11-23T01:30:35.9211125Z } 2022-11-23T01:30:35.9211187Z 2022-11-23T01:30:35.9211255Z - 2022-11-23T01:30:35.9211374Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9211424Z { 2022-11-23T01:30:35.9211562Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9211779Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9211926Z 'obj_weakref': None 2022-11-23T01:30:35.9212152Z 'guarded_class': 2022-11-23T01:30:35.9212215Z } 2022-11-23T01:30:35.9212277Z 2022-11-23T01:30:35.9212333Z - 2022-11-23T01:30:35.9212478Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9212539Z { 2022-11-23T01:30:35.9212660Z 'guard_types': None, 2022-11-23T01:30:35.9212765Z 'code': None, 2022-11-23T01:30:35.9212881Z 'obj_weakref': None 2022-11-23T01:30:35.9213000Z 'guarded_class': None 2022-11-23T01:30:35.9213050Z } 2022-11-23T01:30:35.9213111Z 2022-11-23T01:30:35.9213182Z - 2022-11-23T01:30:35.9213327Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9213422Z { 2022-11-23T01:30:35.9213540Z 'guard_types': None, 2022-11-23T01:30:35.9213631Z 'code': None, 2022-11-23T01:30:35.9213752Z 'obj_weakref': None 2022-11-23T01:30:35.9213871Z 'guarded_class': None 2022-11-23T01:30:35.9213934Z } 2022-11-23T01:30:35.9213996Z 2022-11-23T01:30:35.9214256Z [2022-11-23 01:25:35,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263 2022-11-23T01:30:35.9214262Z 2022-11-23T01:30:35.9214357Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9214425Z import torch 2022-11-23T01:30:35.9214481Z import random 2022-11-23T01:30:35.9214595Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9214721Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9214726Z 2022-11-23T01:30:35.9214804Z aten = torch.ops.aten 2022-11-23T01:30:35.9214939Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9215032Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9215037Z 2022-11-23T01:30:35.9215041Z 2022-11-23T01:30:35.9215131Z async_compile.wait(globals()) 2022-11-23T01:30:35.9215192Z del async_compile 2022-11-23T01:30:35.9215209Z 2022-11-23T01:30:35.9215266Z def call(args): 2022-11-23T01:30:35.9215347Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9215421Z args.clear() 2022-11-23T01:30:35.9215636Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '') 2022-11-23T01:30:35.9215744Z del arg0_1 2022-11-23T01:30:35.9215809Z del arg1_1 2022-11-23T01:30:35.9215862Z del arg2_1 2022-11-23T01:30:35.9215934Z return (buf0, ) 2022-11-23T01:30:35.9215939Z 2022-11-23T01:30:35.9215943Z 2022-11-23T01:30:35.9216019Z if __name__ == "__main__": 2022-11-23T01:30:35.9216131Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9216254Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9216460Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9216660Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9216863Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9216972Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9216992Z 2022-11-23T01:30:35.9216997Z 2022-11-23T01:30:35.9217078Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9217148Z import torch 2022-11-23T01:30:35.9217217Z import random 2022-11-23T01:30:35.9217332Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9217451Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9217456Z 2022-11-23T01:30:35.9217533Z aten = torch.ops.aten 2022-11-23T01:30:35.9217666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9217744Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9217765Z 2022-11-23T01:30:35.9217769Z 2022-11-23T01:30:35.9217843Z async_compile.wait(globals()) 2022-11-23T01:30:35.9217915Z del async_compile 2022-11-23T01:30:35.9217948Z 2022-11-23T01:30:35.9218020Z def call(args): 2022-11-23T01:30:35.9218094Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9218165Z args.clear() 2022-11-23T01:30:35.9218375Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '') 2022-11-23T01:30:35.9218443Z del arg0_1 2022-11-23T01:30:35.9218497Z del arg1_1 2022-11-23T01:30:35.9218569Z return (buf0, ) 2022-11-23T01:30:35.9218573Z 2022-11-23T01:30:35.9218577Z 2022-11-23T01:30:35.9218653Z if __name__ == "__main__": 2022-11-23T01:30:35.9218764Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9218887Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9219087Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9219323Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9219436Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9219441Z 2022-11-23T01:30:35.9219447Z 2022-11-23T01:30:35.9219527Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9219596Z import torch 2022-11-23T01:30:35.9219664Z import random 2022-11-23T01:30:35.9219778Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9219897Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9219901Z 2022-11-23T01:30:35.9219977Z aten = torch.ops.aten 2022-11-23T01:30:35.9220108Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9220186Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9220203Z 2022-11-23T01:30:35.9220207Z 2022-11-23T01:30:35.9220280Z async_compile.wait(globals()) 2022-11-23T01:30:35.9220353Z del async_compile 2022-11-23T01:30:35.9220358Z 2022-11-23T01:30:35.9220428Z def call(args): 2022-11-23T01:30:35.9220510Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9220581Z args.clear() 2022-11-23T01:30:35.9220793Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '') 2022-11-23T01:30:35.9220860Z del arg0_1 2022-11-23T01:30:35.9220912Z del arg1_1 2022-11-23T01:30:35.9220979Z del arg2_1 2022-11-23T01:30:35.9221048Z return (buf0, ) 2022-11-23T01:30:35.9221052Z 2022-11-23T01:30:35.9221056Z 2022-11-23T01:30:35.9221129Z if __name__ == "__main__": 2022-11-23T01:30:35.9221240Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9221359Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9221557Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9221751Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9221936Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9222056Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9222061Z 2022-11-23T01:30:35.9222065Z 2022-11-23T01:30:35.9222157Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9222229Z import torch 2022-11-23T01:30:35.9222301Z import random 2022-11-23T01:30:35.9222413Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9222531Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9222536Z 2022-11-23T01:30:35.9222611Z aten = torch.ops.aten 2022-11-23T01:30:35.9222730Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9222818Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9222823Z 2022-11-23T01:30:35.9222827Z 2022-11-23T01:30:35.9222914Z async_compile.wait(globals()) 2022-11-23T01:30:35.9222985Z del async_compile 2022-11-23T01:30:35.9222990Z 2022-11-23T01:30:35.9223060Z def call(args): 2022-11-23T01:30:35.9223133Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9223201Z args.clear() 2022-11-23T01:30:35.9223402Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '') 2022-11-23T01:30:35.9223469Z del arg0_1 2022-11-23T01:30:35.9223534Z del arg1_1 2022-11-23T01:30:35.9223635Z return (buf0, ) 2022-11-23T01:30:35.9223640Z 2022-11-23T01:30:35.9223644Z 2022-11-23T01:30:35.9223719Z if __name__ == "__main__": 2022-11-23T01:30:35.9223829Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9223951Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9224148Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9224332Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9224445Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9224450Z 2022-11-23T01:30:35.9224454Z 2022-11-23T01:30:35.9224547Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9224615Z import torch 2022-11-23T01:30:35.9224724Z import random 2022-11-23T01:30:35.9224836Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9224954Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9224959Z 2022-11-23T01:30:35.9225037Z aten = torch.ops.aten 2022-11-23T01:30:35.9225157Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9225247Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9225251Z 2022-11-23T01:30:35.9225256Z 2022-11-23T01:30:35.9225341Z async_compile.wait(globals()) 2022-11-23T01:30:35.9225412Z del async_compile 2022-11-23T01:30:35.9225416Z 2022-11-23T01:30:35.9225484Z def call(args): 2022-11-23T01:30:35.9225564Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9225632Z args.clear() 2022-11-23T01:30:35.9225853Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '') 2022-11-23T01:30:35.9225906Z del arg0_1 2022-11-23T01:30:35.9225971Z del arg1_1 2022-11-23T01:30:35.9226035Z del arg2_1 2022-11-23T01:30:35.9226108Z return (buf0, ) 2022-11-23T01:30:35.9226113Z 2022-11-23T01:30:35.9226117Z 2022-11-23T01:30:35.9226190Z if __name__ == "__main__": 2022-11-23T01:30:35.9226302Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9226422Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9226606Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9226798Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9227000Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9227121Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9227125Z 2022-11-23T01:30:35.9227129Z 2022-11-23T01:30:35.9227221Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9227289Z import torch 2022-11-23T01:30:35.9227358Z import random 2022-11-23T01:30:35.9227471Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9227579Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9227584Z 2022-11-23T01:30:35.9227661Z aten = torch.ops.aten 2022-11-23T01:30:35.9227795Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9227883Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9227888Z 2022-11-23T01:30:35.9227892Z 2022-11-23T01:30:35.9227978Z async_compile.wait(globals()) 2022-11-23T01:30:35.9228049Z del async_compile 2022-11-23T01:30:35.9228053Z 2022-11-23T01:30:35.9228121Z def call(args): 2022-11-23T01:30:35.9228194Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9228250Z args.clear() 2022-11-23T01:30:35.9228469Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '') 2022-11-23T01:30:35.9228534Z del arg0_1 2022-11-23T01:30:35.9228599Z del arg1_1 2022-11-23T01:30:35.9228668Z return (buf0, ) 2022-11-23T01:30:35.9228673Z 2022-11-23T01:30:35.9228677Z 2022-11-23T01:30:35.9228750Z if __name__ == "__main__": 2022-11-23T01:30:35.9228864Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9228971Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9229202Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9229410Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9229521Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9229526Z 2022-11-23T01:30:35.9229530Z 2022-11-23T01:30:35.9229622Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9229690Z import torch 2022-11-23T01:30:35.9229758Z import random 2022-11-23T01:30:35.9229870Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9229976Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9229993Z 2022-11-23T01:30:35.9230056Z aten = torch.ops.aten 2022-11-23T01:30:35.9230186Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9230305Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9230309Z 2022-11-23T01:30:35.9230313Z 2022-11-23T01:30:35.9230399Z async_compile.wait(globals()) 2022-11-23T01:30:35.9230472Z del async_compile 2022-11-23T01:30:35.9230477Z 2022-11-23T01:30:35.9230546Z def call(args): 2022-11-23T01:30:35.9230625Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9230682Z args.clear() 2022-11-23T01:30:35.9230902Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '') 2022-11-23T01:30:35.9230970Z del arg0_1 2022-11-23T01:30:35.9231035Z del arg1_1 2022-11-23T01:30:35.9231099Z del arg2_1 2022-11-23T01:30:35.9231169Z return (buf0, ) 2022-11-23T01:30:35.9231174Z 2022-11-23T01:30:35.9231178Z 2022-11-23T01:30:35.9231252Z if __name__ == "__main__": 2022-11-23T01:30:35.9231363Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9231471Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9231672Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9231866Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9232063Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9232182Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9232187Z 2022-11-23T01:30:35.9232191Z 2022-11-23T01:30:35.9232282Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9232349Z import torch 2022-11-23T01:30:35.9232418Z import random 2022-11-23T01:30:35.9232519Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9232636Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9232641Z 2022-11-23T01:30:35.9232718Z aten = torch.ops.aten 2022-11-23T01:30:35.9232848Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9232937Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9232944Z 2022-11-23T01:30:35.9232948Z 2022-11-23T01:30:35.9233033Z async_compile.wait(globals()) 2022-11-23T01:30:35.9233102Z del async_compile 2022-11-23T01:30:35.9233107Z 2022-11-23T01:30:35.9233179Z def call(args): 2022-11-23T01:30:35.9233240Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9233309Z args.clear() 2022-11-23T01:30:35.9233528Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '') 2022-11-23T01:30:35.9233594Z del arg0_1 2022-11-23T01:30:35.9233658Z del arg1_1 2022-11-23T01:30:35.9233727Z return (buf0, ) 2022-11-23T01:30:35.9233732Z 2022-11-23T01:30:35.9233736Z 2022-11-23T01:30:35.9233808Z if __name__ == "__main__": 2022-11-23T01:30:35.9233905Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9234025Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9234222Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9234417Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9234532Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9234536Z 2022-11-23T01:30:35.9234935Z [2022-11-23 01:25:35,932] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq33vmbrisd4zrqrpc4nyqqvtdz62xxa66bpen7vve4zqbex3uzd.py 2022-11-23T01:30:35.9235202Z [2022-11-23 01:25:35,932] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263 2022-11-23T01:30:35.9235438Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9235753Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9235959Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9236202Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9236496Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9236814Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9237147Z [2022-11-23 01:25:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9237458Z [2022-11-23 01:25:35,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9237704Z [2022-11-23 01:25:35,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9237936Z [2022-11-23 01:25:35,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9238192Z [2022-11-23 01:25:35,940] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9238441Z [2022-11-23 01:25:35,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9238617Z [2022-11-23 01:25:35,947] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9238750Z __compiled_fn_271 .2317 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9238837Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9238936Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9239035Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9239039Z 2022-11-23T01:30:35.9239364Z [2022-11-23 01:25:35,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9239456Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9239546Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9239622Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9239713Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9239799Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9239885Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9239960Z 12 RETURN_VALUE 2022-11-23T01:30:35.9239965Z 2022-11-23T01:30:35.9240117Z 2022-11-23T01:30:35.9240445Z [2022-11-23 01:25:35,948] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9240540Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_271) 2022-11-23T01:30:35.9240630Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9240718Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9240794Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9240879Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9240971Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9241046Z 12 RETURN_VALUE 2022-11-23T01:30:35.9241051Z 2022-11-23T01:30:35.9241110Z 2022-11-23T01:30:35.9241319Z [2022-11-23 01:25:35,948] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9241391Z - 2022-11-23T01:30:35.9241511Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9241575Z { 2022-11-23T01:30:35.9241713Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9241897Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9242016Z 'obj_weakref': None 2022-11-23T01:30:35.9242227Z 'guarded_class': 2022-11-23T01:30:35.9242291Z } 2022-11-23T01:30:35.9242355Z 2022-11-23T01:30:35.9242425Z - 2022-11-23T01:30:35.9242547Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9242609Z { 2022-11-23T01:30:35.9242777Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9242870Z 'code': None, 2022-11-23T01:30:35.9243085Z 'obj_weakref': 2022-11-23T01:30:35.9243338Z 'guarded_class': 2022-11-23T01:30:35.9243402Z } 2022-11-23T01:30:35.9243467Z 2022-11-23T01:30:35.9243536Z - 2022-11-23T01:30:35.9243655Z local 'model' NN_MODULE 2022-11-23T01:30:35.9243706Z { 2022-11-23T01:30:35.9243838Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9244004Z 'code': ['___check_obj_id(model, 140537192002320)'], 2022-11-23T01:30:35.9244222Z 'obj_weakref': 2022-11-23T01:30:35.9244451Z 'guarded_class': 2022-11-23T01:30:35.9244517Z } 2022-11-23T01:30:35.9244578Z 2022-11-23T01:30:35.9244634Z - 2022-11-23T01:30:35.9244859Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9244925Z { 2022-11-23T01:30:35.9245062Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9245280Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9245398Z 'obj_weakref': None 2022-11-23T01:30:35.9245621Z 'guarded_class': 2022-11-23T01:30:35.9245671Z } 2022-11-23T01:30:35.9245734Z 2022-11-23T01:30:35.9245803Z - 2022-11-23T01:30:35.9245947Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9246010Z { 2022-11-23T01:30:35.9246131Z 'guard_types': None, 2022-11-23T01:30:35.9246236Z 'code': None, 2022-11-23T01:30:35.9246343Z 'obj_weakref': None 2022-11-23T01:30:35.9246463Z 'guarded_class': None 2022-11-23T01:30:35.9246526Z } 2022-11-23T01:30:35.9246589Z 2022-11-23T01:30:35.9246659Z - 2022-11-23T01:30:35.9246803Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9246851Z { 2022-11-23T01:30:35.9246971Z 'guard_types': None, 2022-11-23T01:30:35.9247074Z 'code': None, 2022-11-23T01:30:35.9247190Z 'obj_weakref': None 2022-11-23T01:30:35.9247309Z 'guarded_class': None 2022-11-23T01:30:35.9247373Z } 2022-11-23T01:30:35.9247434Z 2022-11-23T01:30:35.9247678Z [2022-11-23 01:25:35,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264 2022-11-23T01:30:35.9248040Z [2022-11-23 01:25:35,960] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c5/cc5x6pianjnp52h67rhgu4w3d5ch2e3vtctgv5zobt2vpyh4cwdi.py 2022-11-23T01:30:35.9248308Z [2022-11-23 01:25:35,960] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264 2022-11-23T01:30:35.9248615Z [2022-11-23 01:25:35,963] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9248931Z [2022-11-23 01:25:35,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9249149Z [2022-11-23 01:25:35,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9249392Z [2022-11-23 01:25:35,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9249658Z [2022-11-23 01:25:35,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9249973Z [2022-11-23 01:25:35,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9250351Z [2022-11-23 01:25:35,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9250651Z [2022-11-23 01:25:35,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9250898Z [2022-11-23 01:25:35,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9251131Z [2022-11-23 01:25:35,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9251382Z [2022-11-23 01:25:35,973] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9251630Z [2022-11-23 01:25:35,984] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9251819Z [2022-11-23 01:25:35,985] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9251955Z __compiled_fn_272 .2328 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9252044Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9252145Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9252229Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9252235Z 2022-11-23T01:30:35.9252559Z [2022-11-23 01:25:35,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9252651Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9252742Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9252827Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9252919Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9253002Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9253090Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9253155Z 12 RETURN_VALUE 2022-11-23T01:30:35.9253161Z 2022-11-23T01:30:35.9253221Z 2022-11-23T01:30:35.9253543Z [2022-11-23 01:25:35,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9253652Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_272) 2022-11-23T01:30:35.9253741Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9253830Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9253905Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9253979Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9254069Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9254143Z 12 RETURN_VALUE 2022-11-23T01:30:35.9254148Z 2022-11-23T01:30:35.9254210Z 2022-11-23T01:30:35.9254390Z [2022-11-23 01:25:35,986] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9254460Z - 2022-11-23T01:30:35.9254577Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9254630Z { 2022-11-23T01:30:35.9254771Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9254983Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9255103Z 'obj_weakref': None 2022-11-23T01:30:35.9255330Z 'guarded_class': 2022-11-23T01:30:35.9255394Z } 2022-11-23T01:30:35.9255457Z 2022-11-23T01:30:35.9255513Z - 2022-11-23T01:30:35.9255636Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9255699Z { 2022-11-23T01:30:35.9255841Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9255947Z 'code': None, 2022-11-23T01:30:35.9256157Z 'obj_weakref': 2022-11-23T01:30:35.9256408Z 'guarded_class': 2022-11-23T01:30:35.9256501Z } 2022-11-23T01:30:35.9256552Z 2022-11-23T01:30:35.9256621Z - 2022-11-23T01:30:35.9256742Z local 'model' NN_MODULE 2022-11-23T01:30:35.9256806Z { 2022-11-23T01:30:35.9256939Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9257107Z 'code': ['___check_obj_id(model, 140534622532752)'], 2022-11-23T01:30:35.9257311Z 'obj_weakref': 2022-11-23T01:30:35.9257543Z 'guarded_class': 2022-11-23T01:30:35.9257607Z } 2022-11-23T01:30:35.9257670Z 2022-11-23T01:30:35.9257740Z - 2022-11-23T01:30:35.9257861Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9257924Z { 2022-11-23T01:30:35.9258047Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9258266Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9258381Z 'obj_weakref': None 2022-11-23T01:30:35.9258605Z 'guarded_class': 2022-11-23T01:30:35.9258669Z } 2022-11-23T01:30:35.9258730Z 2022-11-23T01:30:35.9258798Z - 2022-11-23T01:30:35.9258929Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9258991Z { 2022-11-23T01:30:35.9259108Z 'guard_types': None, 2022-11-23T01:30:35.9259214Z 'code': None, 2022-11-23T01:30:35.9259330Z 'obj_weakref': None 2022-11-23T01:30:35.9259449Z 'guarded_class': None 2022-11-23T01:30:35.9259511Z } 2022-11-23T01:30:35.9259560Z 2022-11-23T01:30:35.9259632Z - 2022-11-23T01:30:35.9259775Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9259839Z { 2022-11-23T01:30:35.9259957Z 'guard_types': None, 2022-11-23T01:30:35.9260060Z 'code': None, 2022-11-23T01:30:35.9260175Z 'obj_weakref': None 2022-11-23T01:30:35.9260284Z 'guarded_class': None 2022-11-23T01:30:35.9260346Z } 2022-11-23T01:30:35.9260407Z 2022-11-23T01:30:35.9260667Z [2022-11-23 01:25:35,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265 2022-11-23T01:30:35.9261037Z [2022-11-23 01:25:35,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sm/csmnkocuix5rivkcwrylk4ult3c2j6ufbmnm2xylyfoe5sld6tjt.py 2022-11-23T01:30:35.9261300Z [2022-11-23 01:25:35,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265 2022-11-23T01:30:35.9261534Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9261849Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9262081Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9262324Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9262592Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9262902Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9263237Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9263548Z [2022-11-23 01:25:36,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9263829Z [2022-11-23 01:25:36,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9264063Z [2022-11-23 01:25:36,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9264317Z [2022-11-23 01:25:36,007] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9264563Z [2022-11-23 01:25:36,013] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9264737Z [2022-11-23 01:25:36,013] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9264870Z __compiled_fn_273 .2339 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9264957Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9265055Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9265153Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9265160Z 2022-11-23T01:30:35.9265483Z [2022-11-23 01:25:36,013] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9265577Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9265665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9265738Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9265830Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9265912Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9266000Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9266076Z 12 RETURN_VALUE 2022-11-23T01:30:35.9266081Z 2022-11-23T01:30:35.9266142Z 2022-11-23T01:30:35.9266463Z [2022-11-23 01:25:36,013] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9266570Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_273) 2022-11-23T01:30:35.9266649Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9266738Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9266816Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9266902Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9266989Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9267075Z 12 RETURN_VALUE 2022-11-23T01:30:35.9267080Z 2022-11-23T01:30:35.9267139Z 2022-11-23T01:30:35.9267307Z [2022-11-23 01:25:36,014] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9267377Z - 2022-11-23T01:30:35.9267495Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9267560Z { 2022-11-23T01:30:35.9267698Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9267881Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9267999Z 'obj_weakref': None 2022-11-23T01:30:35.9268212Z 'guarded_class': 2022-11-23T01:30:35.9268276Z } 2022-11-23T01:30:35.9268339Z 2022-11-23T01:30:35.9268440Z - 2022-11-23T01:30:35.9268565Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9268626Z { 2022-11-23T01:30:35.9268767Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9268860Z 'code': None, 2022-11-23T01:30:35.9269071Z 'obj_weakref': 2022-11-23T01:30:35.9269321Z 'guarded_class': 2022-11-23T01:30:35.9269386Z } 2022-11-23T01:30:35.9269451Z 2022-11-23T01:30:35.9269520Z - 2022-11-23T01:30:35.9269636Z local 'model' NN_MODULE 2022-11-23T01:30:35.9269687Z { 2022-11-23T01:30:35.9269819Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9270031Z 'code': ['___check_obj_id(model, 140534621944416)'], 2022-11-23T01:30:35.9270250Z 'obj_weakref': 2022-11-23T01:30:35.9270482Z 'guarded_class': 2022-11-23T01:30:35.9270544Z } 2022-11-23T01:30:35.9270606Z 2022-11-23T01:30:35.9270662Z - 2022-11-23T01:30:35.9270782Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9270844Z { 2022-11-23T01:30:35.9270979Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9271194Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9271310Z 'obj_weakref': None 2022-11-23T01:30:35.9271531Z 'guarded_class': 2022-11-23T01:30:35.9271581Z } 2022-11-23T01:30:35.9271647Z 2022-11-23T01:30:35.9271715Z - 2022-11-23T01:30:35.9271858Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9271921Z { 2022-11-23T01:30:35.9272041Z 'guard_types': None, 2022-11-23T01:30:35.9272147Z 'code': None, 2022-11-23T01:30:35.9272250Z 'obj_weakref': None 2022-11-23T01:30:35.9272370Z 'guarded_class': None 2022-11-23T01:30:35.9272431Z } 2022-11-23T01:30:35.9272492Z 2022-11-23T01:30:35.9272559Z - 2022-11-23T01:30:35.9272702Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9272763Z { 2022-11-23T01:30:35.9272868Z 'guard_types': None, 2022-11-23T01:30:35.9272971Z 'code': None, 2022-11-23T01:30:35.9273087Z 'obj_weakref': None 2022-11-23T01:30:35.9273206Z 'guarded_class': None 2022-11-23T01:30:35.9273269Z } 2022-11-23T01:30:35.9273333Z 2022-11-23T01:30:35.9273579Z [2022-11-23 01:25:36,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266 2022-11-23T01:30:35.9273952Z [2022-11-23 01:25:36,026] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hn/chn4hksjwj3cmvmr5pv5mhytkhnrkdjxsxl7vozsvdcqd2wbuobu.py 2022-11-23T01:30:35.9274214Z [2022-11-23 01:25:36,026] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266 2022-11-23T01:30:35.9274449Z [2022-11-23 01:25:36,029] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9274765Z [2022-11-23 01:25:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9274979Z [2022-11-23 01:25:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9275220Z [2022-11-23 01:25:36,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9275486Z [2022-11-23 01:25:36,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9275827Z [2022-11-23 01:25:36,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9276166Z [2022-11-23 01:25:36,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9276468Z [2022-11-23 01:25:36,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9276714Z [2022-11-23 01:25:36,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9276946Z [2022-11-23 01:25:36,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9277231Z [2022-11-23 01:25:36,040] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9277477Z [2022-11-23 01:25:36,052] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9277665Z [2022-11-23 01:25:36,052] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9277797Z __compiled_fn_274 .2350 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9277884Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9277983Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9278068Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9278073Z 2022-11-23T01:30:35.9278395Z [2022-11-23 01:25:36,052] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9278486Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9278574Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9278662Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9278754Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9278839Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9278927Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9278989Z 12 RETURN_VALUE 2022-11-23T01:30:35.9278994Z 2022-11-23T01:30:35.9279056Z 2022-11-23T01:30:35.9279374Z [2022-11-23 01:25:36,052] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9279482Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_274) 2022-11-23T01:30:35.9279572Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9279659Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9279735Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9279809Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9279900Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9279973Z 12 RETURN_VALUE 2022-11-23T01:30:35.9280047Z 2022-11-23T01:30:35.9280122Z 2022-11-23T01:30:35.9280311Z [2022-11-23 01:25:36,053] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9280381Z - 2022-11-23T01:30:35.9280500Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9280551Z { 2022-11-23T01:30:35.9280690Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9280875Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9280994Z 'obj_weakref': None 2022-11-23T01:30:35.9281216Z 'guarded_class': 2022-11-23T01:30:35.9281280Z } 2022-11-23T01:30:35.9281342Z 2022-11-23T01:30:35.9281410Z - 2022-11-23T01:30:35.9281520Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9281582Z { 2022-11-23T01:30:35.9281726Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9281833Z 'code': None, 2022-11-23T01:30:35.9282083Z 'obj_weakref': 2022-11-23T01:30:35.9282334Z 'guarded_class': 2022-11-23T01:30:35.9282396Z } 2022-11-23T01:30:35.9282446Z 2022-11-23T01:30:35.9282514Z - 2022-11-23T01:30:35.9282632Z local 'model' NN_MODULE 2022-11-23T01:30:35.9282695Z { 2022-11-23T01:30:35.9282827Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9282990Z 'code': ['___check_obj_id(model, 140534622365696)'], 2022-11-23T01:30:35.9283209Z 'obj_weakref': 2022-11-23T01:30:35.9283428Z 'guarded_class': 2022-11-23T01:30:35.9283522Z } 2022-11-23T01:30:35.9283583Z 2022-11-23T01:30:35.9283651Z - 2022-11-23T01:30:35.9283772Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9283835Z { 2022-11-23T01:30:35.9283969Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9284172Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9284288Z 'obj_weakref': None 2022-11-23T01:30:35.9284511Z 'guarded_class': 2022-11-23T01:30:35.9284572Z } 2022-11-23T01:30:35.9284633Z 2022-11-23T01:30:35.9284701Z - 2022-11-23T01:30:35.9284955Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9285006Z { 2022-11-23T01:30:35.9285127Z 'guard_types': None, 2022-11-23T01:30:35.9285233Z 'code': None, 2022-11-23T01:30:35.9285353Z 'obj_weakref': None 2022-11-23T01:30:35.9285475Z 'guarded_class': None 2022-11-23T01:30:35.9285538Z } 2022-11-23T01:30:35.9285587Z 2022-11-23T01:30:35.9285658Z - 2022-11-23T01:30:35.9285802Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9285869Z { 2022-11-23T01:30:35.9285990Z 'guard_types': None, 2022-11-23T01:30:35.9286094Z 'code': None, 2022-11-23T01:30:35.9286211Z 'obj_weakref': None 2022-11-23T01:30:35.9286317Z 'guarded_class': None 2022-11-23T01:30:35.9286380Z } 2022-11-23T01:30:35.9286443Z 2022-11-23T01:30:35.9286704Z [2022-11-23 01:25:36,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267 2022-11-23T01:30:35.9287077Z [2022-11-23 01:25:36,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lb/clbztumvxzpux2da4tqo3tmi2zcdfuoi3mniatg5zljuedb3ou4n.py 2022-11-23T01:30:35.9287347Z [2022-11-23 01:25:36,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267 2022-11-23T01:30:35.9287586Z [2022-11-23 01:25:36,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9287900Z [2022-11-23 01:25:36,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9288115Z [2022-11-23 01:25:36,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9288345Z [2022-11-23 01:25:36,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9288610Z [2022-11-23 01:25:36,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9288921Z [2022-11-23 01:25:36,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9289262Z [2022-11-23 01:25:36,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9289616Z [2022-11-23 01:25:36,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9289866Z [2022-11-23 01:25:36,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9290098Z [2022-11-23 01:25:36,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9290349Z [2022-11-23 01:25:36,075] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9290596Z [2022-11-23 01:25:36,082] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9290771Z [2022-11-23 01:25:36,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9290941Z __compiled_fn_275 .2361 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9291030Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9291133Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9291231Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9291236Z 2022-11-23T01:30:35.9291560Z [2022-11-23 01:25:36,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9291654Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9291743Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9291816Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9291907Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9291991Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9292081Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9292162Z 12 RETURN_VALUE 2022-11-23T01:30:35.9292166Z 2022-11-23T01:30:35.9292228Z 2022-11-23T01:30:35.9292549Z [2022-11-23 01:25:36,083] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9292656Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_275) 2022-11-23T01:30:35.9292733Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9292824Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9292900Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9292989Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9293078Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9293152Z 12 RETURN_VALUE 2022-11-23T01:30:35.9293156Z 2022-11-23T01:30:35.9293216Z 2022-11-23T01:30:35.9293384Z [2022-11-23 01:25:36,084] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9293455Z - 2022-11-23T01:30:35.9293572Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9293675Z { 2022-11-23T01:30:35.9293814Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9293999Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9294118Z 'obj_weakref': None 2022-11-23T01:30:35.9294330Z 'guarded_class': 2022-11-23T01:30:35.9294393Z } 2022-11-23T01:30:35.9294457Z 2022-11-23T01:30:35.9294527Z - 2022-11-23T01:30:35.9294650Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9294712Z { 2022-11-23T01:30:35.9294853Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9294945Z 'code': None, 2022-11-23T01:30:35.9295156Z 'obj_weakref': 2022-11-23T01:30:35.9295408Z 'guarded_class': 2022-11-23T01:30:35.9295473Z } 2022-11-23T01:30:35.9295536Z 2022-11-23T01:30:35.9295605Z - 2022-11-23T01:30:35.9295750Z local 'model' NN_MODULE 2022-11-23T01:30:35.9295802Z { 2022-11-23T01:30:35.9295935Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9296103Z 'code': ['___check_obj_id(model, 140534429818576)'], 2022-11-23T01:30:35.9296320Z 'obj_weakref': 2022-11-23T01:30:35.9296553Z 'guarded_class': 2022-11-23T01:30:35.9296617Z } 2022-11-23T01:30:35.9296679Z 2022-11-23T01:30:35.9296735Z - 2022-11-23T01:30:35.9296855Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9296918Z { 2022-11-23T01:30:35.9297055Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9297300Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9297419Z 'obj_weakref': None 2022-11-23T01:30:35.9297646Z 'guarded_class': 2022-11-23T01:30:35.9297711Z } 2022-11-23T01:30:35.9297762Z 2022-11-23T01:30:35.9297831Z - 2022-11-23T01:30:35.9297974Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9298037Z { 2022-11-23T01:30:35.9298155Z 'guard_types': None, 2022-11-23T01:30:35.9298260Z 'code': None, 2022-11-23T01:30:35.9298364Z 'obj_weakref': None 2022-11-23T01:30:35.9298486Z 'guarded_class': None 2022-11-23T01:30:35.9298549Z } 2022-11-23T01:30:35.9298613Z 2022-11-23T01:30:35.9298681Z - 2022-11-23T01:30:35.9298824Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9298885Z { 2022-11-23T01:30:35.9298992Z 'guard_types': None, 2022-11-23T01:30:35.9299096Z 'code': None, 2022-11-23T01:30:35.9299212Z 'obj_weakref': None 2022-11-23T01:30:35.9299335Z 'guarded_class': None 2022-11-23T01:30:35.9299398Z } 2022-11-23T01:30:35.9299460Z 2022-11-23T01:30:35.9299716Z [2022-11-23 01:25:36,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268 2022-11-23T01:30:35.9300064Z [2022-11-23 01:25:36,096] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nn/cnn57f646huilzezbrgefuq2a3zvbyrkhlbyfgmslnot26q75v2m.py 2022-11-23T01:30:35.9300328Z [2022-11-23 01:25:36,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268 2022-11-23T01:30:35.9300566Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9300877Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9301097Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9301338Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9301604Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9309783Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9310248Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9310581Z [2022-11-23 01:25:36,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9310832Z [2022-11-23 01:25:36,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9311161Z [2022-11-23 01:25:36,109] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9311425Z [2022-11-23 01:25:36,110] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9311681Z [2022-11-23 01:25:36,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9311876Z [2022-11-23 01:25:36,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9312019Z __compiled_fn_276 .2372 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9312115Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9312221Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9312309Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9312351Z 2022-11-23T01:30:35.9312686Z [2022-11-23 01:25:36,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9312787Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9312881Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9312973Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9313068Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9313156Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9313245Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9313310Z 12 RETURN_VALUE 2022-11-23T01:30:35.9313316Z 2022-11-23T01:30:35.9313380Z 2022-11-23T01:30:35.9313708Z [2022-11-23 01:25:36,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9313823Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_276) 2022-11-23T01:30:35.9313921Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9314015Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9314100Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9314177Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9314273Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9314358Z 12 RETURN_VALUE 2022-11-23T01:30:35.9314363Z 2022-11-23T01:30:35.9314433Z 2022-11-23T01:30:35.9314623Z [2022-11-23 01:25:36,123] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9314696Z - 2022-11-23T01:30:35.9314816Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9314869Z { 2022-11-23T01:30:35.9315013Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9315225Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9315419Z 'obj_weakref': None 2022-11-23T01:30:35.9315731Z 'guarded_class': 2022-11-23T01:30:35.9315838Z } 2022-11-23T01:30:35.9315915Z 2022-11-23T01:30:35.9315994Z - 2022-11-23T01:30:35.9316109Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9316176Z { 2022-11-23T01:30:35.9316323Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9316438Z 'code': None, 2022-11-23T01:30:35.9316652Z 'obj_weakref': 2022-11-23T01:30:35.9316907Z 'guarded_class': 2022-11-23T01:30:35.9316973Z } 2022-11-23T01:30:35.9317025Z 2022-11-23T01:30:35.9317095Z - 2022-11-23T01:30:35.9317218Z local 'model' NN_MODULE 2022-11-23T01:30:35.9317284Z { 2022-11-23T01:30:35.9317420Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9317594Z 'code': ['___check_obj_id(model, 140534622532752)'], 2022-11-23T01:30:35.9317855Z 'obj_weakref': 2022-11-23T01:30:35.9318080Z 'guarded_class': 2022-11-23T01:30:35.9318146Z } 2022-11-23T01:30:35.9318210Z 2022-11-23T01:30:35.9318282Z - 2022-11-23T01:30:35.9318407Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9318473Z { 2022-11-23T01:30:35.9318610Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9318817Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9318938Z 'obj_weakref': None 2022-11-23T01:30:35.9319165Z 'guarded_class': 2022-11-23T01:30:35.9319231Z } 2022-11-23T01:30:35.9319331Z 2022-11-23T01:30:35.9319407Z - 2022-11-23T01:30:35.9319556Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9319607Z { 2022-11-23T01:30:35.9319731Z 'guard_types': None, 2022-11-23T01:30:35.9319843Z 'code': None, 2022-11-23T01:30:35.9319964Z 'obj_weakref': None 2022-11-23T01:30:35.9320164Z 'guarded_class': None 2022-11-23T01:30:35.9320231Z } 2022-11-23T01:30:35.9320283Z 2022-11-23T01:30:35.9320357Z - 2022-11-23T01:30:35.9320507Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9320574Z { 2022-11-23T01:30:35.9320698Z 'guard_types': None, 2022-11-23T01:30:35.9320807Z 'code': None, 2022-11-23T01:30:35.9320929Z 'obj_weakref': None 2022-11-23T01:30:35.9321037Z 'guarded_class': None 2022-11-23T01:30:35.9321105Z } 2022-11-23T01:30:35.9321173Z 2022-11-23T01:30:35.9321442Z [2022-11-23 01:25:36,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269 2022-11-23T01:30:35.9321808Z [2022-11-23 01:25:36,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f6/cf67dh6u52kkc4v6sdwgd2dw2tj363z6gxd764hwujd7yzrg454w.py 2022-11-23T01:30:35.9322075Z [2022-11-23 01:25:36,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269 2022-11-23T01:30:35.9322316Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9322636Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9322854Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9323091Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9323363Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9323681Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9324021Z [2022-11-23 01:25:36,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9324335Z [2022-11-23 01:25:36,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9324583Z [2022-11-23 01:25:36,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9325009Z [2022-11-23 01:25:36,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9325277Z [2022-11-23 01:25:36,144] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9325595Z [2022-11-23 01:25:36,151] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9325776Z [2022-11-23 01:25:36,151] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9325917Z __compiled_fn_277 .2383 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9326012Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9326119Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9326223Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9326230Z 2022-11-23T01:30:35.9326562Z [2022-11-23 01:25:36,151] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9326661Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9326758Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9326874Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9326970Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9327059Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9327151Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9327228Z 12 RETURN_VALUE 2022-11-23T01:30:35.9327233Z 2022-11-23T01:30:35.9327297Z 2022-11-23T01:30:35.9327630Z [2022-11-23 01:25:36,151] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9327739Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_277) 2022-11-23T01:30:35.9327818Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9327914Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9327994Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9328084Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9328181Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9328260Z 12 RETURN_VALUE 2022-11-23T01:30:35.9328264Z 2022-11-23T01:30:35.9328326Z 2022-11-23T01:30:35.9328498Z [2022-11-23 01:25:36,152] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9328572Z - 2022-11-23T01:30:35.9328692Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9328758Z { 2022-11-23T01:30:35.9328900Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9329088Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9329210Z 'obj_weakref': None 2022-11-23T01:30:35.9329423Z 'guarded_class': 2022-11-23T01:30:35.9329490Z } 2022-11-23T01:30:35.9329555Z 2022-11-23T01:30:35.9329627Z - 2022-11-23T01:30:35.9329754Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9329818Z { 2022-11-23T01:30:35.9329965Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9330059Z 'code': None, 2022-11-23T01:30:35.9330274Z 'obj_weakref': 2022-11-23T01:30:35.9330529Z 'guarded_class': 2022-11-23T01:30:35.9330595Z } 2022-11-23T01:30:35.9330662Z 2022-11-23T01:30:35.9330734Z - 2022-11-23T01:30:35.9330858Z local 'model' NN_MODULE 2022-11-23T01:30:35.9330909Z { 2022-11-23T01:30:35.9331045Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9331216Z 'code': ['___check_obj_id(model, 140534624682384)'], 2022-11-23T01:30:35.9331438Z 'obj_weakref': 2022-11-23T01:30:35.9331674Z 'guarded_class': 2022-11-23T01:30:35.9331743Z } 2022-11-23T01:30:35.9331807Z 2022-11-23T01:30:35.9331865Z - 2022-11-23T01:30:35.9331989Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9332088Z { 2022-11-23T01:30:35.9332229Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9332454Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9332575Z 'obj_weakref': None 2022-11-23T01:30:35.9332799Z 'guarded_class': 2022-11-23T01:30:35.9332864Z } 2022-11-23T01:30:35.9332915Z 2022-11-23T01:30:35.9332986Z - 2022-11-23T01:30:35.9353775Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9353867Z { 2022-11-23T01:30:35.9354013Z 'guard_types': None, 2022-11-23T01:30:35.9354114Z 'code': None, 2022-11-23T01:30:35.9354290Z 'obj_weakref': None 2022-11-23T01:30:35.9354402Z 'guarded_class': None 2022-11-23T01:30:35.9354459Z } 2022-11-23T01:30:35.9354516Z 2022-11-23T01:30:35.9354581Z - 2022-11-23T01:30:35.9354721Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9354776Z { 2022-11-23T01:30:35.9354881Z 'guard_types': None, 2022-11-23T01:30:35.9354979Z 'code': None, 2022-11-23T01:30:35.9355094Z 'obj_weakref': None 2022-11-23T01:30:35.9355211Z 'guarded_class': None 2022-11-23T01:30:35.9355266Z } 2022-11-23T01:30:35.9355320Z 2022-11-23T01:30:35.9355581Z [2022-11-23 01:25:36,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270 2022-11-23T01:30:35.9355944Z [2022-11-23 01:25:36,164] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jj/cjj7odzpwmgrbu3q7jcrlfenwxk23e5uzpqkxutv56xya2bvg4ah.py 2022-11-23T01:30:35.9356204Z [2022-11-23 01:25:36,164] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270 2022-11-23T01:30:35.9356434Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9356740Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9356949Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9357183Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9357440Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9357745Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9358077Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9358384Z [2022-11-23 01:25:36,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9358616Z [2022-11-23 01:25:36,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9358839Z [2022-11-23 01:25:36,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9359085Z [2022-11-23 01:25:36,178] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9359327Z [2022-11-23 01:25:36,190] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9359505Z [2022-11-23 01:25:36,190] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9359634Z __compiled_fn_278 .2394 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9359715Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9359842Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9359929Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9359940Z 2022-11-23T01:30:35.9360317Z [2022-11-23 01:25:36,191] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9360403Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9360484Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9360565Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9360652Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9360729Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9360809Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9360904Z 12 RETURN_VALUE 2022-11-23T01:30:35.9360910Z 2022-11-23T01:30:35.9360964Z 2022-11-23T01:30:35.9361281Z [2022-11-23 01:25:36,191] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9361382Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_278) 2022-11-23T01:30:35.9361463Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9361546Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9361616Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9361696Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9361772Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9361840Z 12 RETURN_VALUE 2022-11-23T01:30:35.9361845Z 2022-11-23T01:30:35.9361897Z 2022-11-23T01:30:35.9362073Z [2022-11-23 01:25:36,191] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9362136Z - 2022-11-23T01:30:35.9362247Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9362307Z { 2022-11-23T01:30:35.9362436Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9362618Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9362731Z 'obj_weakref': None 2022-11-23T01:30:35.9362952Z 'guarded_class': 2022-11-23T01:30:35.9363010Z } 2022-11-23T01:30:35.9363065Z 2022-11-23T01:30:35.9363127Z - 2022-11-23T01:30:35.9363237Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9363294Z { 2022-11-23T01:30:35.9363428Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9363527Z 'code': None, 2022-11-23T01:30:35.9363730Z 'obj_weakref': 2022-11-23T01:30:35.9363972Z 'guarded_class': 2022-11-23T01:30:35.9364031Z } 2022-11-23T01:30:35.9364081Z 2022-11-23T01:30:35.9364143Z - 2022-11-23T01:30:35.9364259Z local 'model' NN_MODULE 2022-11-23T01:30:35.9364316Z { 2022-11-23T01:30:35.9364440Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9364601Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.9364942Z 'obj_weakref': 2022-11-23T01:30:35.9365164Z 'guarded_class': 2022-11-23T01:30:35.9365223Z } 2022-11-23T01:30:35.9365280Z 2022-11-23T01:30:35.9365341Z - 2022-11-23T01:30:35.9365455Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9365511Z { 2022-11-23T01:30:35.9365640Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9365847Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9365961Z 'obj_weakref': None 2022-11-23T01:30:35.9366240Z 'guarded_class': 2022-11-23T01:30:35.9366300Z } 2022-11-23T01:30:35.9366357Z 2022-11-23T01:30:35.9366421Z - 2022-11-23T01:30:35.9366562Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9366613Z { 2022-11-23T01:30:35.9366727Z 'guard_types': None, 2022-11-23T01:30:35.9366827Z 'code': None, 2022-11-23T01:30:35.9366938Z 'obj_weakref': None 2022-11-23T01:30:35.9367052Z 'guarded_class': None 2022-11-23T01:30:35.9367110Z } 2022-11-23T01:30:35.9367167Z 2022-11-23T01:30:35.9367223Z - 2022-11-23T01:30:35.9367360Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9367416Z { 2022-11-23T01:30:35.9367564Z 'guard_types': None, 2022-11-23T01:30:35.9367663Z 'code': None, 2022-11-23T01:30:35.9367772Z 'obj_weakref': None 2022-11-23T01:30:35.9367882Z 'guarded_class': None 2022-11-23T01:30:35.9367941Z } 2022-11-23T01:30:35.9367997Z 2022-11-23T01:30:35.9368248Z [2022-11-23 01:25:36,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271 2022-11-23T01:30:35.9368254Z 2022-11-23T01:30:35.9368339Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9368401Z import torch 2022-11-23T01:30:35.9368464Z import random 2022-11-23T01:30:35.9368571Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9368680Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9368684Z 2022-11-23T01:30:35.9368757Z aten = torch.ops.aten 2022-11-23T01:30:35.9368885Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9368972Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9368977Z 2022-11-23T01:30:35.9368981Z 2022-11-23T01:30:35.9369061Z async_compile.wait(globals()) 2022-11-23T01:30:35.9369127Z del async_compile 2022-11-23T01:30:35.9369134Z 2022-11-23T01:30:35.9369197Z def call(args): 2022-11-23T01:30:35.9369272Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9369330Z args.clear() 2022-11-23T01:30:35.9369551Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '') 2022-11-23T01:30:35.9369610Z del arg0_1 2022-11-23T01:30:35.9369670Z del arg1_1 2022-11-23T01:30:35.9369729Z del arg2_1 2022-11-23T01:30:35.9369794Z return (buf0, ) 2022-11-23T01:30:35.9369798Z 2022-11-23T01:30:35.9369802Z 2022-11-23T01:30:35.9369871Z if __name__ == "__main__": 2022-11-23T01:30:35.9369972Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9370089Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9370283Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9370479Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9370680Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9370798Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9370803Z 2022-11-23T01:30:35.9370807Z 2022-11-23T01:30:35.9370896Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9370959Z import torch 2022-11-23T01:30:35.9371015Z import random 2022-11-23T01:30:35.9371124Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9371238Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9371243Z 2022-11-23T01:30:35.9371313Z aten = torch.ops.aten 2022-11-23T01:30:35.9371440Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9371524Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9371528Z 2022-11-23T01:30:35.9371535Z 2022-11-23T01:30:35.9371615Z async_compile.wait(globals()) 2022-11-23T01:30:35.9371680Z del async_compile 2022-11-23T01:30:35.9371685Z 2022-11-23T01:30:35.9371742Z def call(args): 2022-11-23T01:30:35.9371841Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9371908Z args.clear() 2022-11-23T01:30:35.9372126Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '') 2022-11-23T01:30:35.9372187Z del arg0_1 2022-11-23T01:30:35.9372248Z del arg1_1 2022-11-23T01:30:35.9372311Z return (buf0, ) 2022-11-23T01:30:35.9372315Z 2022-11-23T01:30:35.9372319Z 2022-11-23T01:30:35.9372381Z if __name__ == "__main__": 2022-11-23T01:30:35.9372485Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9372600Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9372795Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9372994Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9373146Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9373151Z 2022-11-23T01:30:35.9373154Z 2022-11-23T01:30:35.9373242Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9393904Z import torch 2022-11-23T01:30:35.9393986Z import random 2022-11-23T01:30:35.9394109Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9394221Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9394240Z 2022-11-23T01:30:35.9394305Z aten = torch.ops.aten 2022-11-23T01:30:35.9394439Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9394530Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9394535Z 2022-11-23T01:30:35.9394539Z 2022-11-23T01:30:35.9394625Z async_compile.wait(globals()) 2022-11-23T01:30:35.9394698Z del async_compile 2022-11-23T01:30:35.9394703Z 2022-11-23T01:30:35.9394773Z def call(args): 2022-11-23T01:30:35.9394855Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9394916Z args.clear() 2022-11-23T01:30:35.9395147Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '') 2022-11-23T01:30:35.9395221Z del arg0_1 2022-11-23T01:30:35.9395289Z del arg1_1 2022-11-23T01:30:35.9395357Z del arg2_1 2022-11-23T01:30:35.9395429Z return (buf0, ) 2022-11-23T01:30:35.9395433Z 2022-11-23T01:30:35.9395437Z 2022-11-23T01:30:35.9395511Z if __name__ == "__main__": 2022-11-23T01:30:35.9395624Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9395734Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9395938Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9396134Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9396330Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9396454Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9396461Z 2022-11-23T01:30:35.9396465Z 2022-11-23T01:30:35.9396558Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9396627Z import torch 2022-11-23T01:30:35.9396698Z import random 2022-11-23T01:30:35.9396800Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9396918Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9396923Z 2022-11-23T01:30:35.9397000Z aten = torch.ops.aten 2022-11-23T01:30:35.9397130Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9397220Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9397225Z 2022-11-23T01:30:35.9397229Z 2022-11-23T01:30:35.9397315Z async_compile.wait(globals()) 2022-11-23T01:30:35.9397388Z del async_compile 2022-11-23T01:30:35.9397393Z 2022-11-23T01:30:35.9397463Z def call(args): 2022-11-23T01:30:35.9397529Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9397600Z args.clear() 2022-11-23T01:30:35.9397822Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '') 2022-11-23T01:30:35.9397894Z del arg0_1 2022-11-23T01:30:35.9397962Z del arg1_1 2022-11-23T01:30:35.9398078Z return (buf0, ) 2022-11-23T01:30:35.9398084Z 2022-11-23T01:30:35.9398088Z 2022-11-23T01:30:35.9398162Z if __name__ == "__main__": 2022-11-23T01:30:35.9398260Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9398381Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9398581Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9398778Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9398890Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9398894Z 2022-11-23T01:30:35.9398898Z 2022-11-23T01:30:35.9398991Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9399060Z import torch 2022-11-23T01:30:35.9399130Z import random 2022-11-23T01:30:35.9399259Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9399379Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9399383Z 2022-11-23T01:30:35.9399462Z aten = torch.ops.aten 2022-11-23T01:30:35.9399596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9399688Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9399692Z 2022-11-23T01:30:35.9399697Z 2022-11-23T01:30:35.9399785Z async_compile.wait(globals()) 2022-11-23T01:30:35.9399858Z del async_compile 2022-11-23T01:30:35.9399863Z 2022-11-23T01:30:35.9399933Z def call(args): 2022-11-23T01:30:35.9400065Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9400139Z args.clear() 2022-11-23T01:30:35.9400373Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:30:35.9400443Z del arg0_1 2022-11-23T01:30:35.9400509Z del arg1_1 2022-11-23T01:30:35.9400576Z del arg2_1 2022-11-23T01:30:35.9400647Z return (buf0, ) 2022-11-23T01:30:35.9400655Z 2022-11-23T01:30:35.9400659Z 2022-11-23T01:30:35.9400721Z if __name__ == "__main__": 2022-11-23T01:30:35.9400833Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9400958Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9401157Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9401352Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9401559Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9401681Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9401686Z 2022-11-23T01:30:35.9401689Z 2022-11-23T01:30:35.9401782Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9401839Z import torch 2022-11-23T01:30:35.9401910Z import random 2022-11-23T01:30:35.9402024Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9402146Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9402151Z 2022-11-23T01:30:35.9402229Z aten = torch.ops.aten 2022-11-23T01:30:35.9402365Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9402457Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9402463Z 2022-11-23T01:30:35.9402466Z 2022-11-23T01:30:35.9402559Z async_compile.wait(globals()) 2022-11-23T01:30:35.9402617Z del async_compile 2022-11-23T01:30:35.9402622Z 2022-11-23T01:30:35.9402691Z def call(args): 2022-11-23T01:30:35.9402765Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9402838Z args.clear() 2022-11-23T01:30:35.9403066Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:30:35.9403134Z del arg0_1 2022-11-23T01:30:35.9403202Z del arg1_1 2022-11-23T01:30:35.9403260Z return (buf0, ) 2022-11-23T01:30:35.9403265Z 2022-11-23T01:30:35.9403282Z 2022-11-23T01:30:35.9403343Z if __name__ == "__main__": 2022-11-23T01:30:35.9403457Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9403578Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9403809Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9404016Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9404129Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9404134Z 2022-11-23T01:30:35.9404138Z 2022-11-23T01:30:35.9404231Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9404300Z import torch 2022-11-23T01:30:35.9404357Z import random 2022-11-23T01:30:35.9404469Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9404587Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9404591Z 2022-11-23T01:30:35.9404668Z aten = torch.ops.aten 2022-11-23T01:30:35.9404941Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9405111Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9405116Z 2022-11-23T01:30:35.9405120Z 2022-11-23T01:30:35.9405209Z async_compile.wait(globals()) 2022-11-23T01:30:35.9405267Z del async_compile 2022-11-23T01:30:35.9405289Z 2022-11-23T01:30:35.9405346Z def call(args): 2022-11-23T01:30:35.9405428Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9405500Z args.clear() 2022-11-23T01:30:35.9405735Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:30:35.9405805Z del arg0_1 2022-11-23T01:30:35.9405872Z del arg1_1 2022-11-23T01:30:35.9405929Z del arg2_1 2022-11-23T01:30:35.9406001Z return (buf0, ) 2022-11-23T01:30:35.9406006Z 2022-11-23T01:30:35.9406010Z 2022-11-23T01:30:35.9406087Z if __name__ == "__main__": 2022-11-23T01:30:35.9406201Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9406324Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9406525Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9406722Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9406921Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9407029Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9407047Z 2022-11-23T01:30:35.9407051Z 2022-11-23T01:30:35.9407133Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9407202Z import torch 2022-11-23T01:30:35.9407273Z import random 2022-11-23T01:30:35.9407387Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9407508Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9407513Z 2022-11-23T01:30:35.9407591Z aten = torch.ops.aten 2022-11-23T01:30:35.9407724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9407801Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9407819Z 2022-11-23T01:30:35.9407825Z 2022-11-23T01:30:35.9407900Z async_compile.wait(globals()) 2022-11-23T01:30:35.9407976Z del async_compile 2022-11-23T01:30:35.9407981Z 2022-11-23T01:30:35.9408052Z def call(args): 2022-11-23T01:30:35.9408129Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9408201Z args.clear() 2022-11-23T01:30:35.9408427Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:30:35.9408496Z del arg0_1 2022-11-23T01:30:35.9408551Z del arg1_1 2022-11-23T01:30:35.9408621Z return (buf0, ) 2022-11-23T01:30:35.9408626Z 2022-11-23T01:30:35.9408630Z 2022-11-23T01:30:35.9408704Z if __name__ == "__main__": 2022-11-23T01:30:35.9408817Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9408940Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9409138Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9409335Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9409453Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9409457Z 2022-11-23T01:30:35.9409853Z [2022-11-23 01:25:36,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiscosbsh7svuge74zkaolptmv4acohjbkgz2gmoa57dgaucexz.py 2022-11-23T01:30:35.9410125Z [2022-11-23 01:25:36,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271 2022-11-23T01:30:35.9410363Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9410680Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9410897Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9411139Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9411433Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9411750Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9412087Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9412401Z [2022-11-23 01:25:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9412634Z [2022-11-23 01:25:36,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9412867Z [2022-11-23 01:25:36,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9413118Z [2022-11-23 01:25:36,213] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9413372Z [2022-11-23 01:25:36,221] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9413562Z [2022-11-23 01:25:36,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9413698Z __compiled_fn_279 .2405 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9413787Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9413891Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9413976Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9413994Z 2022-11-23T01:30:35.9414304Z [2022-11-23 01:25:36,222] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9414396Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9414486Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9414576Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9414668Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9414757Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9414846Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9414908Z 12 RETURN_VALUE 2022-11-23T01:30:35.9414926Z 2022-11-23T01:30:35.9414976Z 2022-11-23T01:30:35.9415297Z [2022-11-23 01:25:36,222] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9415404Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_279) 2022-11-23T01:30:35.9415492Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9415582Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9415660Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9415749Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9415826Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9415904Z 12 RETURN_VALUE 2022-11-23T01:30:35.9415908Z 2022-11-23T01:30:35.9415970Z 2022-11-23T01:30:35.9416183Z [2022-11-23 01:25:36,222] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9416256Z - 2022-11-23T01:30:35.9416375Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9416442Z { 2022-11-23T01:30:35.9416568Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9416754Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9416875Z 'obj_weakref': None 2022-11-23T01:30:35.9417099Z 'guarded_class': 2022-11-23T01:30:35.9417165Z } 2022-11-23T01:30:35.9417229Z 2022-11-23T01:30:35.9417300Z - 2022-11-23T01:30:35.9417410Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9417474Z { 2022-11-23T01:30:35.9417646Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9417753Z 'code': None, 2022-11-23T01:30:35.9417967Z 'obj_weakref': 2022-11-23T01:30:35.9418216Z 'guarded_class': 2022-11-23T01:30:35.9418281Z } 2022-11-23T01:30:35.9418331Z 2022-11-23T01:30:35.9418400Z - 2022-11-23T01:30:35.9418520Z local 'model' NN_MODULE 2022-11-23T01:30:35.9418586Z { 2022-11-23T01:30:35.9418720Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9418886Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.9419104Z 'obj_weakref': 2022-11-23T01:30:35.9419322Z 'guarded_class': 2022-11-23T01:30:35.9419390Z } 2022-11-23T01:30:35.9419454Z 2022-11-23T01:30:35.9419523Z - 2022-11-23T01:30:35.9419645Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9419713Z { 2022-11-23T01:30:35.9419850Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9420055Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9420172Z 'obj_weakref': None 2022-11-23T01:30:35.9420393Z 'guarded_class': 2022-11-23T01:30:35.9420458Z } 2022-11-23T01:30:35.9420521Z 2022-11-23T01:30:35.9420590Z - 2022-11-23T01:30:35.9420736Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9420788Z { 2022-11-23T01:30:35.9420906Z 'guard_types': None, 2022-11-23T01:30:35.9421011Z 'code': None, 2022-11-23T01:30:35.9421131Z 'obj_weakref': None 2022-11-23T01:30:35.9421252Z 'guarded_class': None 2022-11-23T01:30:35.9421317Z } 2022-11-23T01:30:35.9421380Z 2022-11-23T01:30:35.9421438Z - 2022-11-23T01:30:35.9421581Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9421644Z { 2022-11-23T01:30:35.9421762Z 'guard_types': None, 2022-11-23T01:30:35.9421867Z 'code': None, 2022-11-23T01:30:35.9421984Z 'obj_weakref': None 2022-11-23T01:30:35.9422106Z 'guarded_class': None 2022-11-23T01:30:35.9422157Z } 2022-11-23T01:30:35.9422221Z 2022-11-23T01:30:35.9422479Z [2022-11-23 01:25:36,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272 2022-11-23T01:30:35.9422845Z [2022-11-23 01:25:36,234] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kc/ckcj2hxqgfvw32ozsxnd6nonpq3g3yevlm6pifi6jcb6j5jgipkh.py 2022-11-23T01:30:35.9423113Z [2022-11-23 01:25:36,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272 2022-11-23T01:30:35.9423377Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9423695Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9423913Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9424143Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9424409Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9424722Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9425088Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9425401Z [2022-11-23 01:25:36,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9425649Z [2022-11-23 01:25:36,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9425885Z [2022-11-23 01:25:36,246] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9426139Z [2022-11-23 01:25:36,247] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9426387Z [2022-11-23 01:25:36,258] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9426574Z [2022-11-23 01:25:36,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9426696Z __compiled_fn_280 .2416 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9426787Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9426892Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9426989Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9426995Z 2022-11-23T01:30:35.9427319Z [2022-11-23 01:25:36,259] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9427412Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9427503Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9427589Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9427669Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9427754Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9427842Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9427919Z 12 RETURN_VALUE 2022-11-23T01:30:35.9427926Z 2022-11-23T01:30:35.9427988Z 2022-11-23T01:30:35.9428311Z [2022-11-23 01:25:36,259] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9428422Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_280) 2022-11-23T01:30:35.9428499Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9428591Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9428668Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9428757Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9428847Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9428922Z 12 RETURN_VALUE 2022-11-23T01:30:35.9428927Z 2022-11-23T01:30:35.9428990Z 2022-11-23T01:30:35.9429169Z [2022-11-23 01:25:36,260] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9429227Z - 2022-11-23T01:30:35.9429347Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9429415Z { 2022-11-23T01:30:35.9429554Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9429768Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9429890Z 'obj_weakref': None 2022-11-23T01:30:35.9430114Z 'guarded_class': 2022-11-23T01:30:35.9430167Z } 2022-11-23T01:30:35.9430231Z 2022-11-23T01:30:35.9430301Z - 2022-11-23T01:30:35.9430426Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9430491Z { 2022-11-23T01:30:35.9430633Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9430725Z 'code': None, 2022-11-23T01:30:35.9430938Z 'obj_weakref': 2022-11-23T01:30:35.9431187Z 'guarded_class': 2022-11-23T01:30:35.9431289Z } 2022-11-23T01:30:35.9431353Z 2022-11-23T01:30:35.9431424Z - 2022-11-23T01:30:35.9431545Z local 'model' NN_MODULE 2022-11-23T01:30:35.9431609Z { 2022-11-23T01:30:35.9431730Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9431899Z 'code': ['___check_obj_id(model, 140534431180704)'], 2022-11-23T01:30:35.9432118Z 'obj_weakref': 2022-11-23T01:30:35.9432350Z 'guarded_class': 2022-11-23T01:30:35.9432414Z } 2022-11-23T01:30:35.9432479Z 2022-11-23T01:30:35.9432549Z - 2022-11-23T01:30:35.9432658Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9432722Z { 2022-11-23T01:30:35.9432858Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9433078Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9433196Z 'obj_weakref': None 2022-11-23T01:30:35.9433422Z 'guarded_class': 2022-11-23T01:30:35.9433487Z } 2022-11-23T01:30:35.9433537Z 2022-11-23T01:30:35.9433606Z - 2022-11-23T01:30:35.9433753Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9433817Z { 2022-11-23T01:30:35.9433936Z 'guard_types': None, 2022-11-23T01:30:35.9434043Z 'code': None, 2022-11-23T01:30:35.9434160Z 'obj_weakref': None 2022-11-23T01:30:35.9434268Z 'guarded_class': None 2022-11-23T01:30:35.9434333Z } 2022-11-23T01:30:35.9434396Z 2022-11-23T01:30:35.9434467Z - 2022-11-23T01:30:35.9434610Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9434675Z { 2022-11-23T01:30:35.9434784Z 'guard_types': None, 2022-11-23T01:30:35.9434891Z 'code': None, 2022-11-23T01:30:35.9435009Z 'obj_weakref': None 2022-11-23T01:30:35.9435130Z 'guarded_class': None 2022-11-23T01:30:35.9435194Z } 2022-11-23T01:30:35.9435259Z 2022-11-23T01:30:35.9435520Z [2022-11-23 01:25:36,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273 2022-11-23T01:30:35.9435878Z [2022-11-23 01:25:36,273] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4dh3lzrzxemv76jkwwqhwt5wko6ks2vfqeptpqjoqrd5z6px6h.py 2022-11-23T01:30:35.9436141Z [2022-11-23 01:25:36,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273 2022-11-23T01:30:35.9436377Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9436693Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9436939Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9437185Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9437455Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9437769Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9438105Z [2022-11-23 01:25:36,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9438415Z [2022-11-23 01:25:36,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9438686Z [2022-11-23 01:25:36,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9438921Z [2022-11-23 01:25:36,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9439175Z [2022-11-23 01:25:36,281] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9439425Z [2022-11-23 01:25:36,288] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9439614Z [2022-11-23 01:25:36,289] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9439749Z __compiled_fn_281 .2427 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9439837Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9439939Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9440113Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9440122Z 2022-11-23T01:30:35.9440439Z [2022-11-23 01:25:36,289] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9440536Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9440626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9440715Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9440808Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9440894Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9440983Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9441045Z 12 RETURN_VALUE 2022-11-23T01:30:35.9441064Z 2022-11-23T01:30:35.9441115Z 2022-11-23T01:30:35.9441433Z [2022-11-23 01:25:36,289] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9441542Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_281) 2022-11-23T01:30:35.9441634Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9441725Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9441805Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9441892Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9441970Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9442046Z 12 RETURN_VALUE 2022-11-23T01:30:35.9442051Z 2022-11-23T01:30:35.9442115Z 2022-11-23T01:30:35.9442297Z [2022-11-23 01:25:36,290] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9442371Z - 2022-11-23T01:30:35.9442489Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9442554Z { 2022-11-23T01:30:35.9442683Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9442869Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9442990Z 'obj_weakref': None 2022-11-23T01:30:35.9443217Z 'guarded_class': 2022-11-23T01:30:35.9443285Z } 2022-11-23T01:30:35.9443350Z 2022-11-23T01:30:35.9443422Z - 2022-11-23T01:30:35.9443567Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9443633Z { 2022-11-23T01:30:35.9443777Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9443884Z 'code': None, 2022-11-23T01:30:35.9444098Z 'obj_weakref': 2022-11-23T01:30:35.9444350Z 'guarded_class': 2022-11-23T01:30:35.9444416Z } 2022-11-23T01:30:35.9444466Z 2022-11-23T01:30:35.9444535Z - 2022-11-23T01:30:35.9444656Z local 'model' NN_MODULE 2022-11-23T01:30:35.9444720Z { 2022-11-23T01:30:35.9444951Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9445167Z 'code': ['___check_obj_id(model, 140534429818576)'], 2022-11-23T01:30:35.9445392Z 'obj_weakref': 2022-11-23T01:30:35.9445626Z 'guarded_class': 2022-11-23T01:30:35.9445677Z } 2022-11-23T01:30:35.9445741Z 2022-11-23T01:30:35.9445811Z - 2022-11-23T01:30:35.9445933Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9445998Z { 2022-11-23T01:30:35.9446135Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9446366Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9446537Z 'obj_weakref': None 2022-11-23T01:30:35.9446789Z 'guarded_class': 2022-11-23T01:30:35.9446855Z } 2022-11-23T01:30:35.9446922Z 2022-11-23T01:30:35.9446993Z - 2022-11-23T01:30:35.9447140Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9447190Z { 2022-11-23T01:30:35.9447312Z 'guard_types': None, 2022-11-23T01:30:35.9447419Z 'code': None, 2022-11-23T01:30:35.9447539Z 'obj_weakref': None 2022-11-23T01:30:35.9447728Z 'guarded_class': None 2022-11-23T01:30:35.9447794Z } 2022-11-23T01:30:35.9447859Z 2022-11-23T01:30:35.9447914Z - 2022-11-23T01:30:35.9448059Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9448122Z { 2022-11-23T01:30:35.9448240Z 'guard_types': None, 2022-11-23T01:30:35.9448346Z 'code': None, 2022-11-23T01:30:35.9448462Z 'obj_weakref': None 2022-11-23T01:30:35.9448582Z 'guarded_class': None 2022-11-23T01:30:35.9448632Z } 2022-11-23T01:30:35.9448694Z 2022-11-23T01:30:35.9448955Z [2022-11-23 01:25:36,300] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274 2022-11-23T01:30:35.9449322Z [2022-11-23 01:25:36,302] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gk/cgk2vcmi4kjeivcy7k6ldqumloc5q7du5b6c6l3pe3vdzefzwiyk.py 2022-11-23T01:30:35.9449586Z [2022-11-23 01:25:36,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274 2022-11-23T01:30:35.9449822Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9450135Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9450350Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9450583Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9450854Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9451209Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9451553Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9451863Z [2022-11-23 01:25:36,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9452109Z [2022-11-23 01:25:36,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9452344Z [2022-11-23 01:25:36,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9452598Z [2022-11-23 01:25:36,317] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9452874Z [2022-11-23 01:25:36,330] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9453063Z [2022-11-23 01:25:36,330] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9453184Z __compiled_fn_282 .2438 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9453273Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9453374Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9453473Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9453479Z 2022-11-23T01:30:35.9453806Z [2022-11-23 01:25:36,330] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9453901Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9453993Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9454084Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9454164Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9454249Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9454336Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9454414Z 12 RETURN_VALUE 2022-11-23T01:30:35.9454419Z 2022-11-23T01:30:35.9454479Z 2022-11-23T01:30:35.9454830Z [2022-11-23 01:25:36,330] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9454938Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_282) 2022-11-23T01:30:35.9455028Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9455105Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9455181Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9455269Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9455358Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9455436Z 12 RETURN_VALUE 2022-11-23T01:30:35.9455441Z 2022-11-23T01:30:35.9455504Z 2022-11-23T01:30:35.9455688Z [2022-11-23 01:25:36,331] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9455748Z - 2022-11-23T01:30:35.9455866Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9455932Z { 2022-11-23T01:30:35.9456071Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9456258Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9456379Z 'obj_weakref': None 2022-11-23T01:30:35.9456602Z 'guarded_class': 2022-11-23T01:30:35.9456654Z } 2022-11-23T01:30:35.9456719Z 2022-11-23T01:30:35.9456790Z - 2022-11-23T01:30:35.9456912Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9456978Z { 2022-11-23T01:30:35.9457196Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9457343Z 'code': None, 2022-11-23T01:30:35.9457637Z 'obj_weakref': 2022-11-23T01:30:35.9457890Z 'guarded_class': 2022-11-23T01:30:35.9457955Z } 2022-11-23T01:30:35.9458018Z 2022-11-23T01:30:35.9458088Z - 2022-11-23T01:30:35.9458206Z local 'model' NN_MODULE 2022-11-23T01:30:35.9458271Z { 2022-11-23T01:30:35.9458391Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9458559Z 'code': ['___check_obj_id(model, 140534620829632)'], 2022-11-23T01:30:35.9458780Z 'obj_weakref': 2022-11-23T01:30:35.9459013Z 'guarded_class': 2022-11-23T01:30:35.9459112Z } 2022-11-23T01:30:35.9459176Z 2022-11-23T01:30:35.9459247Z - 2022-11-23T01:30:35.9459356Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9459422Z { 2022-11-23T01:30:35.9459561Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9459776Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9459898Z 'obj_weakref': None 2022-11-23T01:30:35.9460120Z 'guarded_class': 2022-11-23T01:30:35.9460183Z } 2022-11-23T01:30:35.9460234Z 2022-11-23T01:30:35.9460304Z - 2022-11-23T01:30:35.9460449Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9460514Z { 2022-11-23T01:30:35.9460633Z 'guard_types': None, 2022-11-23T01:30:35.9460739Z 'code': None, 2022-11-23T01:30:35.9460859Z 'obj_weakref': None 2022-11-23T01:30:35.9460965Z 'guarded_class': None 2022-11-23T01:30:35.9461028Z } 2022-11-23T01:30:35.9461093Z 2022-11-23T01:30:35.9461165Z - 2022-11-23T01:30:35.9461310Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9461374Z { 2022-11-23T01:30:35.9461479Z 'guard_types': None, 2022-11-23T01:30:35.9461585Z 'code': None, 2022-11-23T01:30:35.9461702Z 'obj_weakref': None 2022-11-23T01:30:35.9461823Z 'guarded_class': None 2022-11-23T01:30:35.9461887Z } 2022-11-23T01:30:35.9461949Z 2022-11-23T01:30:35.9462204Z [2022-11-23 01:25:36,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275 2022-11-23T01:30:35.9462574Z [2022-11-23 01:25:36,344] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/im/cimtazad25dk653zn7bxlo3oeehxzgxdwfomp52p2yp72bwv7in5.py 2022-11-23T01:30:35.9462840Z [2022-11-23 01:25:36,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275 2022-11-23T01:30:35.9463078Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9463391Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9463606Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9463847Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9464112Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9464423Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9464747Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9465087Z [2022-11-23 01:25:36,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9465332Z [2022-11-23 01:25:36,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9465564Z [2022-11-23 01:25:36,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9465816Z [2022-11-23 01:25:36,354] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9466061Z [2022-11-23 01:25:36,362] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9466249Z [2022-11-23 01:25:36,362] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9466410Z __compiled_fn_283 .2449 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9466498Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9466588Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9466687Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9466692Z 2022-11-23T01:30:35.9467016Z [2022-11-23 01:25:36,363] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9467109Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9467199Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9467284Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9467375Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9467458Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9467534Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9467608Z 12 RETURN_VALUE 2022-11-23T01:30:35.9467616Z 2022-11-23T01:30:35.9467675Z 2022-11-23T01:30:35.9467996Z [2022-11-23 01:25:36,363] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9468102Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_283) 2022-11-23T01:30:35.9468191Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9468279Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9468355Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9468429Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9468517Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9468592Z 12 RETURN_VALUE 2022-11-23T01:30:35.9468596Z 2022-11-23T01:30:35.9468656Z 2022-11-23T01:30:35.9468837Z [2022-11-23 01:25:36,363] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9468906Z - 2022-11-23T01:30:35.9469023Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9469077Z { 2022-11-23T01:30:35.9469216Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9469405Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9469522Z 'obj_weakref': None 2022-11-23T01:30:35.9469746Z 'guarded_class': 2022-11-23T01:30:35.9469809Z } 2022-11-23T01:30:35.9469871Z 2022-11-23T01:30:35.9469927Z - 2022-11-23T01:30:35.9470048Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9470109Z { 2022-11-23T01:30:35.9470248Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9470354Z 'code': None, 2022-11-23T01:30:35.9470564Z 'obj_weakref': 2022-11-23T01:30:35.9470810Z 'guarded_class': 2022-11-23T01:30:35.9470863Z } 2022-11-23T01:30:35.9470925Z 2022-11-23T01:30:35.9470995Z - 2022-11-23T01:30:35.9471144Z local 'model' NN_MODULE 2022-11-23T01:30:35.9471207Z { 2022-11-23T01:30:35.9471342Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9471507Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.9471710Z 'obj_weakref': 2022-11-23T01:30:35.9471940Z 'guarded_class': 2022-11-23T01:30:35.9472003Z } 2022-11-23T01:30:35.9472065Z 2022-11-23T01:30:35.9472132Z - 2022-11-23T01:30:35.9472251Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9472313Z { 2022-11-23T01:30:35.9472434Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9472652Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9472797Z 'obj_weakref': None 2022-11-23T01:30:35.9473021Z 'guarded_class': 2022-11-23T01:30:35.9473083Z } 2022-11-23T01:30:35.9473144Z 2022-11-23T01:30:35.9473211Z - 2022-11-23T01:30:35.9473342Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9473405Z { 2022-11-23T01:30:35.9473522Z 'guard_types': None, 2022-11-23T01:30:35.9473626Z 'code': None, 2022-11-23T01:30:35.9473742Z 'obj_weakref': None 2022-11-23T01:30:35.9473860Z 'guarded_class': None 2022-11-23T01:30:35.9473921Z } 2022-11-23T01:30:35.9473970Z 2022-11-23T01:30:35.9474038Z - 2022-11-23T01:30:35.9474180Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9474241Z { 2022-11-23T01:30:35.9474360Z 'guard_types': None, 2022-11-23T01:30:35.9474464Z 'code': None, 2022-11-23T01:30:35.9474567Z 'obj_weakref': None 2022-11-23T01:30:35.9474690Z 'guarded_class': None 2022-11-23T01:30:35.9474753Z } 2022-11-23T01:30:35.9474814Z 2022-11-23T01:30:35.9475074Z [2022-11-23 01:25:36,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276 2022-11-23T01:30:35.9475442Z [2022-11-23 01:25:36,376] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4smnu5qs3nf4zlc3usdbe5sbywlco4orwsb5bxd3wasqliubi3i.py 2022-11-23T01:30:35.9475706Z [2022-11-23 01:25:36,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276 2022-11-23T01:30:35.9475941Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9476238Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9476460Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9476702Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9476970Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9477284Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9477618Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9477930Z [2022-11-23 01:25:36,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9478178Z [2022-11-23 01:25:36,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9478437Z [2022-11-23 01:25:36,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9478695Z [2022-11-23 01:25:36,389] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9478930Z [2022-11-23 01:25:36,401] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9479117Z [2022-11-23 01:25:36,401] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9479249Z __compiled_fn_284 .2460 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9479337Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9479438Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9479535Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9479567Z 2022-11-23T01:30:35.9479891Z [2022-11-23 01:25:36,402] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9480095Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9480181Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9480269Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9480362Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9480447Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9480534Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9480626Z 12 RETURN_VALUE 2022-11-23T01:30:35.9480632Z 2022-11-23T01:30:35.9480692Z 2022-11-23T01:30:35.9481016Z [2022-11-23 01:25:36,402] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9481111Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_284) 2022-11-23T01:30:35.9481205Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9481294Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9481373Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9481459Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9481548Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9481623Z 12 RETURN_VALUE 2022-11-23T01:30:35.9481628Z 2022-11-23T01:30:35.9481675Z 2022-11-23T01:30:35.9481857Z [2022-11-23 01:25:36,403] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9481926Z - 2022-11-23T01:30:35.9482045Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9482112Z { 2022-11-23T01:30:35.9482251Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9482435Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9482542Z 'obj_weakref': None 2022-11-23T01:30:35.9482769Z 'guarded_class': 2022-11-23T01:30:35.9482837Z } 2022-11-23T01:30:35.9482901Z 2022-11-23T01:30:35.9482971Z - 2022-11-23T01:30:35.9483094Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9483156Z { 2022-11-23T01:30:35.9483286Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9483393Z 'code': None, 2022-11-23T01:30:35.9483604Z 'obj_weakref': 2022-11-23T01:30:35.9483856Z 'guarded_class': 2022-11-23T01:30:35.9483921Z } 2022-11-23T01:30:35.9483984Z 2022-11-23T01:30:35.9484052Z - 2022-11-23T01:30:35.9484157Z local 'model' NN_MODULE 2022-11-23T01:30:35.9484221Z { 2022-11-23T01:30:35.9484353Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9484524Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.9484911Z 'obj_weakref': 2022-11-23T01:30:35.9485154Z 'guarded_class': 2022-11-23T01:30:35.9485218Z } 2022-11-23T01:30:35.9485281Z 2022-11-23T01:30:35.9485337Z - 2022-11-23T01:30:35.9485459Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9485522Z { 2022-11-23T01:30:35.9485658Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9485877Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9485994Z 'obj_weakref': None 2022-11-23T01:30:35.9486218Z 'guarded_class': 2022-11-23T01:30:35.9486268Z } 2022-11-23T01:30:35.9486383Z 2022-11-23T01:30:35.9486456Z - 2022-11-23T01:30:35.9486598Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9486660Z { 2022-11-23T01:30:35.9486780Z 'guard_types': None, 2022-11-23T01:30:35.9486872Z 'code': None, 2022-11-23T01:30:35.9486988Z 'obj_weakref': None 2022-11-23T01:30:35.9487108Z 'guarded_class': None 2022-11-23T01:30:35.9487171Z } 2022-11-23T01:30:35.9487233Z 2022-11-23T01:30:35.9487301Z - 2022-11-23T01:30:35.9487442Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9487491Z { 2022-11-23T01:30:35.9487610Z 'guard_types': None, 2022-11-23T01:30:35.9487716Z 'code': None, 2022-11-23T01:30:35.9487833Z 'obj_weakref': None 2022-11-23T01:30:35.9487954Z 'guarded_class': None 2022-11-23T01:30:35.9488018Z } 2022-11-23T01:30:35.9488078Z 2022-11-23T01:30:35.9488326Z [2022-11-23 01:25:36,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277 2022-11-23T01:30:35.9488700Z [2022-11-23 01:25:36,415] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/cea3uzpyyj5qewfobhnjb76u6efopo6mqe47hpda2d7hnx4tivhm.py 2022-11-23T01:30:35.9488963Z [2022-11-23 01:25:36,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277 2022-11-23T01:30:35.9489198Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9489511Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9489725Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9489966Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9490234Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9490546Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9490871Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9491183Z [2022-11-23 01:25:36,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9491429Z [2022-11-23 01:25:36,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9491661Z [2022-11-23 01:25:36,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9491913Z [2022-11-23 01:25:36,424] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9492200Z [2022-11-23 01:25:36,431] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9492389Z [2022-11-23 01:25:36,431] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9492520Z __compiled_fn_285 .2471 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9492607Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9492693Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9492791Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9492796Z 2022-11-23T01:30:35.9493118Z [2022-11-23 01:25:36,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9493210Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9493299Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9493413Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9493503Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9493588Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9493663Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9493737Z 12 RETURN_VALUE 2022-11-23T01:30:35.9493742Z 2022-11-23T01:30:35.9493802Z 2022-11-23T01:30:35.9494124Z [2022-11-23 01:25:36,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9494231Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_285) 2022-11-23T01:30:35.9494319Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9494409Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9494483Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9494557Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9494645Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9494722Z 12 RETURN_VALUE 2022-11-23T01:30:35.9494727Z 2022-11-23T01:30:35.9494787Z 2022-11-23T01:30:35.9494970Z [2022-11-23 01:25:36,432] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9495038Z - 2022-11-23T01:30:35.9495156Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9495207Z { 2022-11-23T01:30:35.9495347Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9495532Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9495650Z 'obj_weakref': None 2022-11-23T01:30:35.9495871Z 'guarded_class': 2022-11-23T01:30:35.9495933Z } 2022-11-23T01:30:35.9495995Z 2022-11-23T01:30:35.9496051Z - 2022-11-23T01:30:35.9496173Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9496237Z { 2022-11-23T01:30:35.9496379Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9496485Z 'code': None, 2022-11-23T01:30:35.9496698Z 'obj_weakref': 2022-11-23T01:30:35.9496949Z 'guarded_class': 2022-11-23T01:30:35.9497000Z } 2022-11-23T01:30:35.9497062Z 2022-11-23T01:30:35.9497131Z - 2022-11-23T01:30:35.9497249Z local 'model' NN_MODULE 2022-11-23T01:30:35.9497310Z { 2022-11-23T01:30:35.9497441Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9497607Z 'code': ['___check_obj_id(model, 140534624682384)'], 2022-11-23T01:30:35.9497811Z 'obj_weakref': 2022-11-23T01:30:35.9498040Z 'guarded_class': 2022-11-23T01:30:35.9498105Z } 2022-11-23T01:30:35.9498167Z 2022-11-23T01:30:35.9498236Z - 2022-11-23T01:30:35.9498355Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9498451Z { 2022-11-23T01:30:35.9498575Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9498792Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9498908Z 'obj_weakref': None 2022-11-23T01:30:35.9499129Z 'guarded_class': 2022-11-23T01:30:35.9499192Z } 2022-11-23T01:30:35.9499252Z 2022-11-23T01:30:35.9499319Z - 2022-11-23T01:30:35.9499452Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9499514Z { 2022-11-23T01:30:35.9499633Z 'guard_types': None, 2022-11-23T01:30:35.9499738Z 'code': None, 2022-11-23T01:30:35.9499854Z 'obj_weakref': None 2022-11-23T01:30:35.9500005Z 'guarded_class': None 2022-11-23T01:30:35.9500066Z } 2022-11-23T01:30:35.9500118Z 2022-11-23T01:30:35.9500189Z - 2022-11-23T01:30:35.9500333Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9500394Z { 2022-11-23T01:30:35.9500511Z 'guard_types': None, 2022-11-23T01:30:35.9500618Z 'code': None, 2022-11-23T01:30:35.9500733Z 'obj_weakref': None 2022-11-23T01:30:35.9500840Z 'guarded_class': None 2022-11-23T01:30:35.9500902Z } 2022-11-23T01:30:35.9500962Z 2022-11-23T01:30:35.9501222Z [2022-11-23 01:25:36,442] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278 2022-11-23T01:30:35.9501592Z [2022-11-23 01:25:36,444] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7m/c7mevqbscxgzbftodfw53lre5sx5mnxr3ittuk7kjiv4u53leccy.py 2022-11-23T01:30:35.9501857Z [2022-11-23 01:25:36,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278 2022-11-23T01:30:35.9502095Z [2022-11-23 01:25:36,447] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9502403Z [2022-11-23 01:25:36,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9502606Z [2022-11-23 01:25:36,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9502848Z [2022-11-23 01:25:36,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9503116Z [2022-11-23 01:25:36,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9503428Z [2022-11-23 01:25:36,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9503767Z [2022-11-23 01:25:36,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9504080Z [2022-11-23 01:25:36,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9504323Z [2022-11-23 01:25:36,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9504554Z [2022-11-23 01:25:36,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9504806Z [2022-11-23 01:25:36,458] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9505051Z [2022-11-23 01:25:36,470] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9505225Z [2022-11-23 01:25:36,470] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9505360Z __compiled_fn_286 .2482 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9505446Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9505574Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9505674Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9505680Z 2022-11-23T01:30:35.9506004Z [2022-11-23 01:25:36,470] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9506096Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9506184Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9506257Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9506347Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9506431Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9506518Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9506594Z 12 RETURN_VALUE 2022-11-23T01:30:35.9506625Z 2022-11-23T01:30:35.9506686Z 2022-11-23T01:30:35.9507007Z [2022-11-23 01:25:36,470] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9507100Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_286) 2022-11-23T01:30:35.9507188Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9507276Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9507351Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9507437Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9507524Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9507597Z 12 RETURN_VALUE 2022-11-23T01:30:35.9507602Z 2022-11-23T01:30:35.9507661Z 2022-11-23T01:30:35.9507828Z [2022-11-23 01:25:36,471] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9507898Z - 2022-11-23T01:30:35.9508015Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9508081Z { 2022-11-23T01:30:35.9508220Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9508407Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9508525Z 'obj_weakref': None 2022-11-23T01:30:35.9508734Z 'guarded_class': 2022-11-23T01:30:35.9508798Z } 2022-11-23T01:30:35.9508861Z 2022-11-23T01:30:35.9508929Z - 2022-11-23T01:30:35.9509053Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9509114Z { 2022-11-23T01:30:35.9509243Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9509347Z 'code': None, 2022-11-23T01:30:35.9509558Z 'obj_weakref': 2022-11-23T01:30:35.9509810Z 'guarded_class': 2022-11-23T01:30:35.9509877Z } 2022-11-23T01:30:35.9509939Z 2022-11-23T01:30:35.9510006Z - 2022-11-23T01:30:35.9510126Z local 'model' NN_MODULE 2022-11-23T01:30:35.9510177Z { 2022-11-23T01:30:35.9510310Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9510478Z 'code': ['___check_obj_id(model, 140534622365696)'], 2022-11-23T01:30:35.9510696Z 'obj_weakref': 2022-11-23T01:30:35.9510926Z 'guarded_class': 2022-11-23T01:30:35.9510988Z } 2022-11-23T01:30:35.9511049Z 2022-11-23T01:30:35.9511105Z - 2022-11-23T01:30:35.9511224Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9511286Z { 2022-11-23T01:30:35.9511420Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9511635Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9511754Z 'obj_weakref': None 2022-11-23T01:30:35.9512031Z 'guarded_class': 2022-11-23T01:30:35.9512083Z } 2022-11-23T01:30:35.9512145Z 2022-11-23T01:30:35.9512214Z - 2022-11-23T01:30:35.9512357Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9512419Z { 2022-11-23T01:30:35.9512537Z 'guard_types': None, 2022-11-23T01:30:35.9512642Z 'code': None, 2022-11-23T01:30:35.9512746Z 'obj_weakref': None 2022-11-23T01:30:35.9512864Z 'guarded_class': None 2022-11-23T01:30:35.9512926Z } 2022-11-23T01:30:35.9512988Z 2022-11-23T01:30:35.9513055Z - 2022-11-23T01:30:35.9513198Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9513247Z { 2022-11-23T01:30:35.9513396Z 'guard_types': None, 2022-11-23T01:30:35.9513501Z 'code': None, 2022-11-23T01:30:35.9513617Z 'obj_weakref': None 2022-11-23T01:30:35.9513740Z 'guarded_class': None 2022-11-23T01:30:35.9513803Z } 2022-11-23T01:30:35.9513864Z 2022-11-23T01:30:35.9514110Z [2022-11-23 01:25:36,483] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279 2022-11-23T01:30:35.9514128Z 2022-11-23T01:30:35.9514209Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9514281Z import torch 2022-11-23T01:30:35.9514349Z import random 2022-11-23T01:30:35.9514464Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9514586Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9514591Z 2022-11-23T01:30:35.9514666Z aten = torch.ops.aten 2022-11-23T01:30:35.9514799Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9514878Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9514885Z 2022-11-23T01:30:35.9514889Z 2022-11-23T01:30:35.9514974Z async_compile.wait(globals()) 2022-11-23T01:30:35.9515045Z del async_compile 2022-11-23T01:30:35.9515052Z 2022-11-23T01:30:35.9515121Z def call(args): 2022-11-23T01:30:35.9515203Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9515275Z args.clear() 2022-11-23T01:30:35.9515491Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none') 2022-11-23T01:30:35.9515546Z del arg0_1 2022-11-23T01:30:35.9515612Z del arg1_1 2022-11-23T01:30:35.9515677Z del arg2_1 2022-11-23T01:30:35.9515748Z return (buf0, ) 2022-11-23T01:30:35.9515753Z 2022-11-23T01:30:35.9515757Z 2022-11-23T01:30:35.9515833Z if __name__ == "__main__": 2022-11-23T01:30:35.9515946Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9516069Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9516272Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9516459Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9516668Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9516790Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9516794Z 2022-11-23T01:30:35.9516798Z 2022-11-23T01:30:35.9516892Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9516960Z import torch 2022-11-23T01:30:35.9517030Z import random 2022-11-23T01:30:35.9517142Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9517262Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9517267Z 2022-11-23T01:30:35.9517332Z aten = torch.ops.aten 2022-11-23T01:30:35.9517465Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9517556Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9517560Z 2022-11-23T01:30:35.9517565Z 2022-11-23T01:30:35.9517656Z async_compile.wait(globals()) 2022-11-23T01:30:35.9517730Z del async_compile 2022-11-23T01:30:35.9517735Z 2022-11-23T01:30:35.9517804Z def call(args): 2022-11-23T01:30:35.9517908Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9517980Z args.clear() 2022-11-23T01:30:35.9518184Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none') 2022-11-23T01:30:35.9518252Z del arg0_1 2022-11-23T01:30:35.9518318Z del arg1_1 2022-11-23T01:30:35.9518390Z return (buf0, ) 2022-11-23T01:30:35.9518394Z 2022-11-23T01:30:35.9518398Z 2022-11-23T01:30:35.9518472Z if __name__ == "__main__": 2022-11-23T01:30:35.9518583Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9518704Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9518891Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9519098Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9519241Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9519246Z 2022-11-23T01:30:35.9519249Z 2022-11-23T01:30:35.9519348Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9519417Z import torch 2022-11-23T01:30:35.9519486Z import random 2022-11-23T01:30:35.9519599Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9519718Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9519723Z 2022-11-23T01:30:35.9519786Z aten = torch.ops.aten 2022-11-23T01:30:35.9519918Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9520148Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9520157Z 2022-11-23T01:30:35.9520162Z 2022-11-23T01:30:35.9520251Z async_compile.wait(globals()) 2022-11-23T01:30:35.9520323Z del async_compile 2022-11-23T01:30:35.9520327Z 2022-11-23T01:30:35.9520397Z def call(args): 2022-11-23T01:30:35.9520479Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9520553Z args.clear() 2022-11-23T01:30:35.9520761Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none') 2022-11-23T01:30:35.9520829Z del arg0_1 2022-11-23T01:30:35.9520899Z del arg1_1 2022-11-23T01:30:35.9520965Z del arg2_1 2022-11-23T01:30:35.9521035Z return (buf0, ) 2022-11-23T01:30:35.9521040Z 2022-11-23T01:30:35.9521044Z 2022-11-23T01:30:35.9521118Z if __name__ == "__main__": 2022-11-23T01:30:35.9521230Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9521338Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9521543Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9521737Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9521931Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9522055Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9522062Z 2022-11-23T01:30:35.9522066Z 2022-11-23T01:30:35.9522158Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9522228Z import torch 2022-11-23T01:30:35.9522299Z import random 2022-11-23T01:30:35.9522400Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9522521Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9522525Z 2022-11-23T01:30:35.9522601Z aten = torch.ops.aten 2022-11-23T01:30:35.9522733Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9522825Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9522829Z 2022-11-23T01:30:35.9522833Z 2022-11-23T01:30:35.9522921Z async_compile.wait(globals()) 2022-11-23T01:30:35.9522993Z del async_compile 2022-11-23T01:30:35.9522998Z 2022-11-23T01:30:35.9523069Z def call(args): 2022-11-23T01:30:35.9523129Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9523200Z args.clear() 2022-11-23T01:30:35.9523417Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none') 2022-11-23T01:30:35.9523488Z del arg0_1 2022-11-23T01:30:35.9523554Z del arg1_1 2022-11-23T01:30:35.9523625Z return (buf0, ) 2022-11-23T01:30:35.9523630Z 2022-11-23T01:30:35.9523666Z 2022-11-23T01:30:35.9523743Z if __name__ == "__main__": 2022-11-23T01:30:35.9523856Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9523965Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9524163Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9524361Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9524474Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9524478Z 2022-11-23T01:30:35.9524482Z 2022-11-23T01:30:35.9524574Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9524643Z import torch 2022-11-23T01:30:35.9524713Z import random 2022-11-23T01:30:35.9524918Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9525073Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9525078Z 2022-11-23T01:30:35.9525156Z aten = torch.ops.aten 2022-11-23T01:30:35.9525291Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9525382Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9525387Z 2022-11-23T01:30:35.9525391Z 2022-11-23T01:30:35.9525481Z async_compile.wait(globals()) 2022-11-23T01:30:35.9525553Z del async_compile 2022-11-23T01:30:35.9525558Z 2022-11-23T01:30:35.9525627Z def call(args): 2022-11-23T01:30:35.9525707Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9525764Z args.clear() 2022-11-23T01:30:35.9525985Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh') 2022-11-23T01:30:35.9526053Z del arg0_1 2022-11-23T01:30:35.9526119Z del arg1_1 2022-11-23T01:30:35.9526185Z del arg2_1 2022-11-23T01:30:35.9526258Z return (buf0, ) 2022-11-23T01:30:35.9526265Z 2022-11-23T01:30:35.9526270Z 2022-11-23T01:30:35.9526345Z if __name__ == "__main__": 2022-11-23T01:30:35.9526445Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9526569Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9526767Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9526961Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9527165Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9527288Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9527293Z 2022-11-23T01:30:35.9527297Z 2022-11-23T01:30:35.9527390Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9527460Z import torch 2022-11-23T01:30:35.9527516Z import random 2022-11-23T01:30:35.9527628Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9527745Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9527752Z 2022-11-23T01:30:35.9527829Z aten = torch.ops.aten 2022-11-23T01:30:35.9527961Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9528052Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9528057Z 2022-11-23T01:30:35.9528061Z 2022-11-23T01:30:35.9528146Z async_compile.wait(globals()) 2022-11-23T01:30:35.9528216Z del async_compile 2022-11-23T01:30:35.9528221Z 2022-11-23T01:30:35.9528278Z def call(args): 2022-11-23T01:30:35.9528350Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9528419Z args.clear() 2022-11-23T01:30:35.9528636Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh') 2022-11-23T01:30:35.9528703Z del arg0_1 2022-11-23T01:30:35.9528767Z del arg1_1 2022-11-23T01:30:35.9528837Z return (buf0, ) 2022-11-23T01:30:35.9528842Z 2022-11-23T01:30:35.9528846Z 2022-11-23T01:30:35.9528907Z if __name__ == "__main__": 2022-11-23T01:30:35.9529019Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9529142Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9529378Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9529586Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9529698Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9529702Z 2022-11-23T01:30:35.9529706Z 2022-11-23T01:30:35.9529796Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9529864Z import torch 2022-11-23T01:30:35.9529920Z import random 2022-11-23T01:30:35.9530033Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9530150Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9530154Z 2022-11-23T01:30:35.9530232Z aten = torch.ops.aten 2022-11-23T01:30:35.9530361Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9530450Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9530495Z 2022-11-23T01:30:35.9530499Z 2022-11-23T01:30:35.9530586Z async_compile.wait(globals()) 2022-11-23T01:30:35.9530656Z del async_compile 2022-11-23T01:30:35.9530661Z 2022-11-23T01:30:35.9530721Z def call(args): 2022-11-23T01:30:35.9530803Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9530872Z args.clear() 2022-11-23T01:30:35.9531087Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh') 2022-11-23T01:30:35.9531154Z del arg0_1 2022-11-23T01:30:35.9531219Z del arg1_1 2022-11-23T01:30:35.9531284Z del arg2_1 2022-11-23T01:30:35.9531342Z return (buf0, ) 2022-11-23T01:30:35.9531347Z 2022-11-23T01:30:35.9531364Z 2022-11-23T01:30:35.9531426Z if __name__ == "__main__": 2022-11-23T01:30:35.9531536Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9531655Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9531853Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9532048Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9532245Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9532366Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9532370Z 2022-11-23T01:30:35.9532374Z 2022-11-23T01:30:35.9532467Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9532522Z import torch 2022-11-23T01:30:35.9532591Z import random 2022-11-23T01:30:35.9532707Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9532826Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9532831Z 2022-11-23T01:30:35.9532906Z aten = torch.ops.aten 2022-11-23T01:30:35.9533035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9533124Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9533129Z 2022-11-23T01:30:35.9533132Z 2022-11-23T01:30:35.9533205Z async_compile.wait(globals()) 2022-11-23T01:30:35.9533277Z del async_compile 2022-11-23T01:30:35.9533282Z 2022-11-23T01:30:35.9533351Z def call(args): 2022-11-23T01:30:35.9533425Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9533496Z args.clear() 2022-11-23T01:30:35.9533712Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh') 2022-11-23T01:30:35.9533777Z del arg0_1 2022-11-23T01:30:35.9533830Z del arg1_1 2022-11-23T01:30:35.9533900Z return (buf0, ) 2022-11-23T01:30:35.9533905Z 2022-11-23T01:30:35.9533909Z 2022-11-23T01:30:35.9533986Z if __name__ == "__main__": 2022-11-23T01:30:35.9534099Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9534219Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9534418Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9534612Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9534727Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9534731Z 2022-11-23T01:30:35.9535123Z [2022-11-23 01:25:36,485] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cekhmsl55t5uyw632g4zwbiiccvjetw5nkngylcg6bdw6q22er2c.py 2022-11-23T01:30:35.9535378Z [2022-11-23 01:25:36,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279 2022-11-23T01:30:35.9535616Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9535928Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9536144Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9536386Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9536654Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9536996Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9537333Z [2022-11-23 01:25:36,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9537644Z [2022-11-23 01:25:36,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9537892Z [2022-11-23 01:25:36,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9538112Z [2022-11-23 01:25:36,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9538361Z [2022-11-23 01:25:36,494] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9538610Z [2022-11-23 01:25:36,501] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9538800Z [2022-11-23 01:25:36,502] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9538932Z __compiled_fn_287 .2493 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9539019Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9539118Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9539217Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9539222Z 2022-11-23T01:30:35.9539532Z [2022-11-23 01:25:36,502] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9539624Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9539713Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9539798Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9539891Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9539975Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9540063Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9540138Z 12 RETURN_VALUE 2022-11-23T01:30:35.9540142Z 2022-11-23T01:30:35.9540190Z 2022-11-23T01:30:35.9540509Z [2022-11-23 01:25:36,502] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9540614Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_287) 2022-11-23T01:30:35.9540703Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9540790Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9540865Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9540950Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9541027Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9541103Z 12 RETURN_VALUE 2022-11-23T01:30:35.9541107Z 2022-11-23T01:30:35.9541167Z 2022-11-23T01:30:35.9541347Z [2022-11-23 01:25:36,503] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9541445Z - 2022-11-23T01:30:35.9541563Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9541626Z { 2022-11-23T01:30:35.9541754Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9541939Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9542057Z 'obj_weakref': None 2022-11-23T01:30:35.9542280Z 'guarded_class': 2022-11-23T01:30:35.9542344Z } 2022-11-23T01:30:35.9542407Z 2022-11-23T01:30:35.9542476Z - 2022-11-23T01:30:35.9542597Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9542647Z { 2022-11-23T01:30:35.9542786Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9542922Z 'code': None, 2022-11-23T01:30:35.9543133Z 'obj_weakref': 2022-11-23T01:30:35.9543385Z 'guarded_class': 2022-11-23T01:30:35.9543448Z } 2022-11-23T01:30:35.9543509Z 2022-11-23T01:30:35.9543565Z - 2022-11-23T01:30:35.9543683Z local 'model' NN_MODULE 2022-11-23T01:30:35.9543745Z { 2022-11-23T01:30:35.9543878Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9544043Z 'code': ['___check_obj_id(model, 140534431909152)'], 2022-11-23T01:30:35.9544261Z 'obj_weakref': 2022-11-23T01:30:35.9544493Z 'guarded_class': 2022-11-23T01:30:35.9544543Z } 2022-11-23T01:30:35.9544611Z 2022-11-23T01:30:35.9544680Z - 2022-11-23T01:30:35.9544801Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9544862Z { 2022-11-23T01:30:35.9544999Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9545217Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9545323Z 'obj_weakref': None 2022-11-23T01:30:35.9545542Z 'guarded_class': 2022-11-23T01:30:35.9545627Z } 2022-11-23T01:30:35.9545689Z 2022-11-23T01:30:35.9545757Z - 2022-11-23T01:30:35.9545900Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9545961Z { 2022-11-23T01:30:35.9546069Z 'guard_types': None, 2022-11-23T01:30:35.9546173Z 'code': None, 2022-11-23T01:30:35.9546289Z 'obj_weakref': None 2022-11-23T01:30:35.9546412Z 'guarded_class': None 2022-11-23T01:30:35.9546474Z } 2022-11-23T01:30:35.9546535Z 2022-11-23T01:30:35.9546590Z - 2022-11-23T01:30:35.9546734Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9546795Z { 2022-11-23T01:30:35.9546911Z 'guard_types': None, 2022-11-23T01:30:35.9547015Z 'code': None, 2022-11-23T01:30:35.9547131Z 'obj_weakref': None 2022-11-23T01:30:35.9547250Z 'guarded_class': None 2022-11-23T01:30:35.9547301Z } 2022-11-23T01:30:35.9547363Z 2022-11-23T01:30:35.9547623Z [2022-11-23 01:25:36,513] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280 2022-11-23T01:30:35.9547981Z [2022-11-23 01:25:36,515] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckt42b7vn2ngljueahp7gsrc36hxyyti5ja55kmnz34z75nfxv7t.py 2022-11-23T01:30:35.9548242Z [2022-11-23 01:25:36,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280 2022-11-23T01:30:35.9548481Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9548819Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9549035Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9549276Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9549529Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9549842Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9550178Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9550520Z [2022-11-23 01:25:36,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9550766Z [2022-11-23 01:25:36,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9550999Z [2022-11-23 01:25:36,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9551251Z [2022-11-23 01:25:36,529] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9551497Z [2022-11-23 01:25:36,540] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9551684Z [2022-11-23 01:25:36,540] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9551816Z __compiled_fn_288 .2504 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9551894Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9551995Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9552096Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9552101Z 2022-11-23T01:30:35.9552425Z [2022-11-23 01:25:36,541] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9552516Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9552606Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9552692Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9552770Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9552855Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9552942Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9553019Z 12 RETURN_VALUE 2022-11-23T01:30:35.9553024Z 2022-11-23T01:30:35.9553088Z 2022-11-23T01:30:35.9553413Z [2022-11-23 01:25:36,541] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9553519Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_288) 2022-11-23T01:30:35.9553608Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9553684Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9553761Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9553847Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9553938Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9554016Z 12 RETURN_VALUE 2022-11-23T01:30:35.9554021Z 2022-11-23T01:30:35.9554081Z 2022-11-23T01:30:35.9554263Z [2022-11-23 01:25:36,541] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9554320Z - 2022-11-23T01:30:35.9554439Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9554504Z { 2022-11-23T01:30:35.9554645Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9554830Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9554975Z 'obj_weakref': None 2022-11-23T01:30:35.9555199Z 'guarded_class': 2022-11-23T01:30:35.9555251Z } 2022-11-23T01:30:35.9555314Z 2022-11-23T01:30:35.9555383Z - 2022-11-23T01:30:35.9555508Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9555571Z { 2022-11-23T01:30:35.9555711Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9555818Z 'code': None, 2022-11-23T01:30:35.9556017Z 'obj_weakref': 2022-11-23T01:30:35.9556266Z 'guarded_class': 2022-11-23T01:30:35.9556359Z } 2022-11-23T01:30:35.9556423Z 2022-11-23T01:30:35.9556493Z - 2022-11-23T01:30:35.9556612Z local 'model' NN_MODULE 2022-11-23T01:30:35.9556674Z { 2022-11-23T01:30:35.9556796Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9556964Z 'code': ['___check_obj_id(model, 140534622367424)'], 2022-11-23T01:30:35.9557182Z 'obj_weakref': 2022-11-23T01:30:35.9557415Z 'guarded_class': 2022-11-23T01:30:35.9557479Z } 2022-11-23T01:30:35.9557541Z 2022-11-23T01:30:35.9557610Z - 2022-11-23T01:30:35.9557717Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9557780Z { 2022-11-23T01:30:35.9557916Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9558134Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9558255Z 'obj_weakref': None 2022-11-23T01:30:35.9558479Z 'guarded_class': 2022-11-23T01:30:35.9558542Z } 2022-11-23T01:30:35.9558591Z 2022-11-23T01:30:35.9558660Z - 2022-11-23T01:30:35.9558803Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9558867Z { 2022-11-23T01:30:35.9558986Z 'guard_types': None, 2022-11-23T01:30:35.9559091Z 'code': None, 2022-11-23T01:30:35.9559208Z 'obj_weakref': None 2022-11-23T01:30:35.9559314Z 'guarded_class': None 2022-11-23T01:30:35.9559377Z } 2022-11-23T01:30:35.9559439Z 2022-11-23T01:30:35.9559510Z - 2022-11-23T01:30:35.9559653Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9559715Z { 2022-11-23T01:30:35.9559833Z 'guard_types': None, 2022-11-23T01:30:35.9559927Z 'code': None, 2022-11-23T01:30:35.9560137Z 'obj_weakref': None 2022-11-23T01:30:35.9560263Z 'guarded_class': None 2022-11-23T01:30:35.9560327Z } 2022-11-23T01:30:35.9560391Z 2022-11-23T01:30:35.9560651Z [2022-11-23 01:25:36,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281 2022-11-23T01:30:35.9561024Z [2022-11-23 01:25:36,555] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/cajgpr3dcyzqwtsz7ig24a2jwtrehwxy7ycutyv55hn6ic7su373.py 2022-11-23T01:30:35.9561274Z [2022-11-23 01:25:36,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281 2022-11-23T01:30:35.9561509Z [2022-11-23 01:25:36,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9561819Z [2022-11-23 01:25:36,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9562040Z [2022-11-23 01:25:36,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9562323Z [2022-11-23 01:25:36,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9562592Z [2022-11-23 01:25:36,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9562906Z [2022-11-23 01:25:36,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9563239Z [2022-11-23 01:25:36,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9563551Z [2022-11-23 01:25:36,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9563828Z [2022-11-23 01:25:36,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9564050Z [2022-11-23 01:25:36,563] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9564300Z [2022-11-23 01:25:36,564] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9564547Z [2022-11-23 01:25:36,570] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9564735Z [2022-11-23 01:25:36,571] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9564973Z __compiled_fn_289 .2515 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9565063Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9565163Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9565262Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9565269Z 2022-11-23T01:30:35.9565597Z [2022-11-23 01:25:36,571] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9565682Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9565772Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9565858Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9565950Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9566035Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9566123Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9566201Z 12 RETURN_VALUE 2022-11-23T01:30:35.9566206Z 2022-11-23T01:30:35.9566256Z 2022-11-23T01:30:35.9566576Z [2022-11-23 01:25:36,571] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9566683Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_289) 2022-11-23T01:30:35.9566773Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9566864Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9566941Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9567030Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9567119Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9567181Z 12 RETURN_VALUE 2022-11-23T01:30:35.9567186Z 2022-11-23T01:30:35.9567247Z 2022-11-23T01:30:35.9567426Z [2022-11-23 01:25:36,572] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9567496Z - 2022-11-23T01:30:35.9567613Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9567677Z { 2022-11-23T01:30:35.9567815Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9567990Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9568109Z 'obj_weakref': None 2022-11-23T01:30:35.9568331Z 'guarded_class': 2022-11-23T01:30:35.9568397Z } 2022-11-23T01:30:35.9568459Z 2022-11-23T01:30:35.9568526Z - 2022-11-23T01:30:35.9568695Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9568747Z { 2022-11-23T01:30:35.9568888Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9568992Z 'code': None, 2022-11-23T01:30:35.9569206Z 'obj_weakref': 2022-11-23T01:30:35.9569456Z 'guarded_class': 2022-11-23T01:30:35.9569519Z } 2022-11-23T01:30:35.9569581Z 2022-11-23T01:30:35.9569637Z - 2022-11-23T01:30:35.9569757Z local 'model' NN_MODULE 2022-11-23T01:30:35.9569820Z { 2022-11-23T01:30:35.9569953Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9570120Z 'code': ['___check_obj_id(model, 140534429818576)'], 2022-11-23T01:30:35.9570378Z 'obj_weakref': 2022-11-23T01:30:35.9570614Z 'guarded_class': 2022-11-23T01:30:35.9570665Z } 2022-11-23T01:30:35.9570728Z 2022-11-23T01:30:35.9570796Z - 2022-11-23T01:30:35.9570916Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9570978Z { 2022-11-23T01:30:35.9571112Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9571330Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9571435Z 'obj_weakref': None 2022-11-23T01:30:35.9571653Z 'guarded_class': 2022-11-23T01:30:35.9571714Z } 2022-11-23T01:30:35.9571775Z 2022-11-23T01:30:35.9571845Z - 2022-11-23T01:30:35.9571987Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9572049Z { 2022-11-23T01:30:35.9572156Z 'guard_types': None, 2022-11-23T01:30:35.9572263Z 'code': None, 2022-11-23T01:30:35.9572379Z 'obj_weakref': None 2022-11-23T01:30:35.9572499Z 'guarded_class': None 2022-11-23T01:30:35.9572562Z } 2022-11-23T01:30:35.9572624Z 2022-11-23T01:30:35.9572691Z - 2022-11-23T01:30:35.9572823Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9572884Z { 2022-11-23T01:30:35.9573003Z 'guard_types': None, 2022-11-23T01:30:35.9573107Z 'code': None, 2022-11-23T01:30:35.9573222Z 'obj_weakref': None 2022-11-23T01:30:35.9573339Z 'guarded_class': None 2022-11-23T01:30:35.9573388Z } 2022-11-23T01:30:35.9573450Z 2022-11-23T01:30:35.9573708Z [2022-11-23 01:25:36,582] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282 2022-11-23T01:30:35.9574086Z [2022-11-23 01:25:36,584] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2h/c2hp5cahidxzw2xjfc62kfqlpqpxmjldwbd2zyigcr3ousfbnyv7.py 2022-11-23T01:30:35.9574350Z [2022-11-23 01:25:36,584] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282 2022-11-23T01:30:35.9574585Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9574895Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9575111Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9575353Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9575605Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9575950Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9576287Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9576597Z [2022-11-23 01:25:36,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9576842Z [2022-11-23 01:25:36,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9577072Z [2022-11-23 01:25:36,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9577323Z [2022-11-23 01:25:36,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9577618Z [2022-11-23 01:25:36,615] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9577808Z [2022-11-23 01:25:36,615] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9577940Z __compiled_fn_290 .2526 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9578016Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9578115Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9578213Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9578218Z 2022-11-23T01:30:35.9578539Z [2022-11-23 01:25:36,615] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9578631Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9578720Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9578812Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9578905Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9578977Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9579066Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9579140Z 12 RETURN_VALUE 2022-11-23T01:30:35.9579146Z 2022-11-23T01:30:35.9579205Z 2022-11-23T01:30:35.9579527Z [2022-11-23 01:25:36,615] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9579633Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_290) 2022-11-23T01:30:35.9579722Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9579798Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9579873Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9579960Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9580049Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9580125Z 12 RETURN_VALUE 2022-11-23T01:30:35.9580130Z 2022-11-23T01:30:35.9580190Z 2022-11-23T01:30:35.9580369Z [2022-11-23 01:25:36,616] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9580439Z - 2022-11-23T01:30:35.9580545Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9580607Z { 2022-11-23T01:30:35.9580744Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9580928Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9581046Z 'obj_weakref': None 2022-11-23T01:30:35.9581267Z 'guarded_class': 2022-11-23T01:30:35.9581330Z } 2022-11-23T01:30:35.9581380Z 2022-11-23T01:30:35.9581448Z - 2022-11-23T01:30:35.9581571Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9581635Z { 2022-11-23T01:30:35.9581775Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9581882Z 'code': None, 2022-11-23T01:30:35.9582082Z 'obj_weakref': 2022-11-23T01:30:35.9582359Z 'guarded_class': 2022-11-23T01:30:35.9582424Z } 2022-11-23T01:30:35.9582486Z 2022-11-23T01:30:35.9582554Z - 2022-11-23T01:30:35.9582672Z local 'model' NN_MODULE 2022-11-23T01:30:35.9582735Z { 2022-11-23T01:30:35.9582855Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9583023Z 'code': ['___check_obj_id(model, 140534622365696)'], 2022-11-23T01:30:35.9583238Z 'obj_weakref': 2022-11-23T01:30:35.9583468Z 'guarded_class': 2022-11-23T01:30:35.9583530Z } 2022-11-23T01:30:35.9583622Z 2022-11-23T01:30:35.9583689Z - 2022-11-23T01:30:35.9583809Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9583858Z { 2022-11-23T01:30:35.9583995Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9584212Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9584329Z 'obj_weakref': None 2022-11-23T01:30:35.9584551Z 'guarded_class': 2022-11-23T01:30:35.9584612Z } 2022-11-23T01:30:35.9584676Z 2022-11-23T01:30:35.9584731Z - 2022-11-23T01:30:35.9584872Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9584935Z { 2022-11-23T01:30:35.9585053Z 'guard_types': None, 2022-11-23T01:30:35.9585157Z 'code': None, 2022-11-23T01:30:35.9585274Z 'obj_weakref': None 2022-11-23T01:30:35.9585384Z 'guarded_class': None 2022-11-23T01:30:35.9585447Z } 2022-11-23T01:30:35.9585507Z 2022-11-23T01:30:35.9585577Z - 2022-11-23T01:30:35.9585722Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9585783Z { 2022-11-23T01:30:35.9585899Z 'guard_types': None, 2022-11-23T01:30:35.9585990Z 'code': None, 2022-11-23T01:30:35.9586105Z 'obj_weakref': None 2022-11-23T01:30:35.9586223Z 'guarded_class': None 2022-11-23T01:30:35.9586285Z } 2022-11-23T01:30:35.9586346Z 2022-11-23T01:30:35.9586604Z [2022-11-23 01:25:36,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283 2022-11-23T01:30:35.9586975Z [2022-11-23 01:25:36,630] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mv/cmvwoshacf7agyudk6ccll5mnj4atnz4yywwbd34ert36lqnmp4x.py 2022-11-23T01:30:35.9587234Z [2022-11-23 01:25:36,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283 2022-11-23T01:30:35.9587459Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9587775Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9587991Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9588234Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9588498Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9588810Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9589142Z [2022-11-23 01:25:36,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9589482Z [2022-11-23 01:25:36,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9589728Z [2022-11-23 01:25:36,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9589961Z [2022-11-23 01:25:36,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9590201Z [2022-11-23 01:25:36,640] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9590448Z [2022-11-23 01:25:36,649] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9590639Z [2022-11-23 01:25:36,649] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9590772Z __compiled_fn_291 .2537 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9590890Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9590989Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9591089Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9591094Z 2022-11-23T01:30:35.9591416Z [2022-11-23 01:25:36,650] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9591495Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9591585Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9591670Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9591762Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9591846Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9591932Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9592006Z 12 RETURN_VALUE 2022-11-23T01:30:35.9592010Z 2022-11-23T01:30:35.9592060Z 2022-11-23T01:30:35.9592379Z [2022-11-23 01:25:36,650] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9592488Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_291) 2022-11-23T01:30:35.9592577Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9592665Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9592740Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9592824Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9592913Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9592975Z 12 RETURN_VALUE 2022-11-23T01:30:35.9592979Z 2022-11-23T01:30:35.9593039Z 2022-11-23T01:30:35.9593221Z [2022-11-23 01:25:36,650] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9593292Z - 2022-11-23T01:30:35.9593411Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9593475Z { 2022-11-23T01:30:35.9593618Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9593792Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9593915Z 'obj_weakref': None 2022-11-23T01:30:35.9594141Z 'guarded_class': 2022-11-23T01:30:35.9594207Z } 2022-11-23T01:30:35.9594269Z 2022-11-23T01:30:35.9594337Z - 2022-11-23T01:30:35.9594461Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9594510Z { 2022-11-23T01:30:35.9594651Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9594757Z 'code': None, 2022-11-23T01:30:35.9594968Z 'obj_weakref': 2022-11-23T01:30:35.9595218Z 'guarded_class': 2022-11-23T01:30:35.9595286Z } 2022-11-23T01:30:35.9595347Z 2022-11-23T01:30:35.9595403Z - 2022-11-23T01:30:35.9595523Z local 'model' NN_MODULE 2022-11-23T01:30:35.9595586Z { 2022-11-23T01:30:35.9595756Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9595925Z 'code': ['___check_obj_id(model, 140534624682384)'], 2022-11-23T01:30:35.9596143Z 'obj_weakref': 2022-11-23T01:30:35.9596378Z 'guarded_class': 2022-11-23T01:30:35.9596432Z } 2022-11-23T01:30:35.9596495Z 2022-11-23T01:30:35.9596565Z - 2022-11-23T01:30:35.9596689Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9596752Z { 2022-11-23T01:30:35.9596886Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9597103Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9597250Z 'obj_weakref': None 2022-11-23T01:30:35.9597474Z 'guarded_class': 2022-11-23T01:30:35.9597538Z } 2022-11-23T01:30:35.9597602Z 2022-11-23T01:30:35.9597672Z - 2022-11-23T01:30:35.9597815Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9597878Z { 2022-11-23T01:30:35.9597983Z 'guard_types': None, 2022-11-23T01:30:35.9598088Z 'code': None, 2022-11-23T01:30:35.9598205Z 'obj_weakref': None 2022-11-23T01:30:35.9598326Z 'guarded_class': None 2022-11-23T01:30:35.9598389Z } 2022-11-23T01:30:35.9598451Z 2022-11-23T01:30:35.9598520Z - 2022-11-23T01:30:35.9598650Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9598711Z { 2022-11-23T01:30:35.9598831Z 'guard_types': None, 2022-11-23T01:30:35.9598940Z 'code': None, 2022-11-23T01:30:35.9599057Z 'obj_weakref': None 2022-11-23T01:30:35.9599180Z 'guarded_class': None 2022-11-23T01:30:35.9599244Z } 2022-11-23T01:30:35.9599294Z 2022-11-23T01:30:35.9599555Z [2022-11-23 01:25:36,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284 2022-11-23T01:30:35.9599927Z [2022-11-23 01:25:36,663] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bl/cblyyqp3t2faoxnem42odvvhmwnondlnsb2k4u2uzpcibf2v23zq.py 2022-11-23T01:30:35.9600268Z [2022-11-23 01:25:36,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284 2022-11-23T01:30:35.9600506Z [2022-11-23 01:25:36,667] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9600819Z [2022-11-23 01:25:36,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9601040Z [2022-11-23 01:25:36,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9601285Z [2022-11-23 01:25:36,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9601554Z [2022-11-23 01:25:36,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9601852Z [2022-11-23 01:25:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9602190Z [2022-11-23 01:25:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9602501Z [2022-11-23 01:25:36,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9602750Z [2022-11-23 01:25:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9603017Z [2022-11-23 01:25:36,678] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9603273Z [2022-11-23 01:25:36,679] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9603520Z [2022-11-23 01:25:36,691] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9603707Z [2022-11-23 01:25:36,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9603840Z __compiled_fn_292 .2548 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9603917Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9604018Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9604116Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9604121Z 2022-11-23T01:30:35.9604444Z [2022-11-23 01:25:36,692] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9604570Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9604663Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9604836Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9604930Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9605000Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9605088Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9605164Z 12 RETURN_VALUE 2022-11-23T01:30:35.9605169Z 2022-11-23T01:30:35.9605230Z 2022-11-23T01:30:35.9605557Z [2022-11-23 01:25:36,692] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9605665Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_292) 2022-11-23T01:30:35.9605756Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9605850Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9605914Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9606004Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9606093Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9606168Z 12 RETURN_VALUE 2022-11-23T01:30:35.9606173Z 2022-11-23T01:30:35.9606234Z 2022-11-23T01:30:35.9606414Z [2022-11-23 01:25:36,693] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9606484Z - 2022-11-23T01:30:35.9606588Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9606651Z { 2022-11-23T01:30:35.9606791Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9606977Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9607094Z 'obj_weakref': None 2022-11-23T01:30:35.9607317Z 'guarded_class': 2022-11-23T01:30:35.9607382Z } 2022-11-23T01:30:35.9607433Z 2022-11-23T01:30:35.9607503Z - 2022-11-23T01:30:35.9607630Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9607692Z { 2022-11-23T01:30:35.9607831Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9607936Z 'code': None, 2022-11-23T01:30:35.9608146Z 'obj_weakref': 2022-11-23T01:30:35.9608384Z 'guarded_class': 2022-11-23T01:30:35.9608449Z } 2022-11-23T01:30:35.9608511Z 2022-11-23T01:30:35.9608579Z - 2022-11-23T01:30:35.9608696Z local 'model' NN_MODULE 2022-11-23T01:30:35.9608758Z { 2022-11-23T01:30:35.9608891Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9609046Z 'code': ['___check_obj_id(model, 140534622365696)'], 2022-11-23T01:30:35.9609267Z 'obj_weakref': 2022-11-23T01:30:35.9609543Z 'guarded_class': 2022-11-23T01:30:35.9609607Z } 2022-11-23T01:30:35.9609669Z 2022-11-23T01:30:35.9609737Z - 2022-11-23T01:30:35.9609859Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9609909Z { 2022-11-23T01:30:35.9610044Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9610266Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9610385Z 'obj_weakref': None 2022-11-23T01:30:35.9610608Z 'guarded_class': 2022-11-23T01:30:35.9610671Z } 2022-11-23T01:30:35.9610733Z 2022-11-23T01:30:35.9610789Z - 2022-11-23T01:30:35.9610994Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9611057Z { 2022-11-23T01:30:35.9611175Z 'guard_types': None, 2022-11-23T01:30:35.9611284Z 'code': None, 2022-11-23T01:30:35.9611401Z 'obj_weakref': None 2022-11-23T01:30:35.9611521Z 'guarded_class': None 2022-11-23T01:30:35.9611571Z } 2022-11-23T01:30:35.9611634Z 2022-11-23T01:30:35.9611703Z - 2022-11-23T01:30:35.9611848Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9611911Z { 2022-11-23T01:30:35.9612028Z 'guard_types': None, 2022-11-23T01:30:35.9612119Z 'code': None, 2022-11-23T01:30:35.9612235Z 'obj_weakref': None 2022-11-23T01:30:35.9612354Z 'guarded_class': None 2022-11-23T01:30:35.9612416Z } 2022-11-23T01:30:35.9612479Z 2022-11-23T01:30:35.9612740Z [2022-11-23 01:25:36,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285 2022-11-23T01:30:35.9613115Z [2022-11-23 01:25:36,706] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7h/c7hks2dlurfktw5q7cflahvqmnzbsboco2j2dkqyjyqfv5r6i34h.py 2022-11-23T01:30:35.9613380Z [2022-11-23 01:25:36,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285 2022-11-23T01:30:35.9613603Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9613917Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9614134Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9614374Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:30:35.9614638Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()] 2022-11-23T01:30:35.9614954Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9615292Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9615604Z [2022-11-23 01:25:36,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9615849Z [2022-11-23 01:25:36,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9616082Z [2022-11-23 01:25:36,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9616320Z [2022-11-23 01:25:36,717] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9616572Z [2022-11-23 01:25:36,724] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9616788Z [2022-11-23 01:25:36,725] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9616923Z __compiled_fn_293 .2559 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9617012Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9617112Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:30:35.9617209Z output, output, output, ((model_0,),), {} 2022-11-23T01:30:35.9617214Z 2022-11-23T01:30:35.9617537Z [2022-11-23 01:25:36,725] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9617617Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9617708Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9617795Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9617928Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9618013Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9618103Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9618177Z 12 RETURN_VALUE 2022-11-23T01:30:35.9618182Z 2022-11-23T01:30:35.9618242Z 2022-11-23T01:30:35.9618549Z [2022-11-23 01:25:36,725] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9618655Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_293) 2022-11-23T01:30:35.9618746Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9618834Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9618910Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9618999Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9619087Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9619151Z 12 RETURN_VALUE 2022-11-23T01:30:35.9619157Z 2022-11-23T01:30:35.9619217Z 2022-11-23T01:30:35.9619399Z [2022-11-23 01:25:36,726] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9619470Z - 2022-11-23T01:30:35.9619588Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9619651Z { 2022-11-23T01:30:35.9619790Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9619965Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9620083Z 'obj_weakref': None 2022-11-23T01:30:35.9620305Z 'guarded_class': 2022-11-23T01:30:35.9620368Z } 2022-11-23T01:30:35.9620432Z 2022-11-23T01:30:35.9620500Z - 2022-11-23T01:30:35.9620622Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9620672Z { 2022-11-23T01:30:35.9620817Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9620924Z 'code': None, 2022-11-23T01:30:35.9621136Z 'obj_weakref': 2022-11-23T01:30:35.9621388Z 'guarded_class': 2022-11-23T01:30:35.9621450Z } 2022-11-23T01:30:35.9621511Z 2022-11-23T01:30:35.9621568Z - 2022-11-23T01:30:35.9621685Z local 'model' NN_MODULE 2022-11-23T01:30:35.9621749Z { 2022-11-23T01:30:35.9621881Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9622047Z 'code': ['___check_obj_id(model, 140534429818576)'], 2022-11-23T01:30:35.9622265Z 'obj_weakref': 2022-11-23T01:30:35.9622495Z 'guarded_class': 2022-11-23T01:30:35.9622556Z } 2022-11-23T01:30:35.9622610Z 2022-11-23T01:30:35.9622678Z - 2022-11-23T01:30:35.9622800Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9622862Z { 2022-11-23T01:30:35.9623022Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9623240Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9623357Z 'obj_weakref': None 2022-11-23T01:30:35.9623564Z 'guarded_class': 2022-11-23T01:30:35.9623627Z } 2022-11-23T01:30:35.9623688Z 2022-11-23T01:30:35.9623756Z - 2022-11-23T01:30:35.9623898Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:30:35.9623959Z { 2022-11-23T01:30:35.9624064Z 'guard_types': None, 2022-11-23T01:30:35.9624169Z 'code': None, 2022-11-23T01:30:35.9624284Z 'obj_weakref': None 2022-11-23T01:30:35.9624447Z 'guarded_class': None 2022-11-23T01:30:35.9624508Z } 2022-11-23T01:30:35.9624570Z 2022-11-23T01:30:35.9624637Z - 2022-11-23T01:30:35.9624769Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:30:35.9624831Z { 2022-11-23T01:30:35.9624951Z 'guard_types': None, 2022-11-23T01:30:35.9625056Z 'code': None, 2022-11-23T01:30:35.9625172Z 'obj_weakref': None 2022-11-23T01:30:35.9625291Z 'guarded_class': None 2022-11-23T01:30:35.9625353Z } 2022-11-23T01:30:35.9625402Z 2022-11-23T01:30:35.9625662Z [2022-11-23 01:25:36,737] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286 2022-11-23T01:30:35.9626025Z [2022-11-23 01:25:36,738] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfkzf4oj2w7tuke6zbndrd5tk4x435nhg5nnyh5skfdtl2ujnuxa.py 2022-11-23T01:30:35.9626287Z [2022-11-23 01:25:36,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286 2022-11-23T01:30:35.9626295Z 2022-11-23T01:30:35.9626386Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9626454Z import torch 2022-11-23T01:30:35.9626524Z import random 2022-11-23T01:30:35.9626638Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9626747Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9626753Z 2022-11-23T01:30:35.9626830Z aten = torch.ops.aten 2022-11-23T01:30:35.9626965Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9627056Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9627061Z 2022-11-23T01:30:35.9627065Z 2022-11-23T01:30:35.9627151Z async_compile.wait(globals()) 2022-11-23T01:30:35.9627222Z del async_compile 2022-11-23T01:30:35.9627227Z 2022-11-23T01:30:35.9627296Z def call(args): 2022-11-23T01:30:35.9627377Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9627436Z args.clear() 2022-11-23T01:30:35.9627661Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '') 2022-11-23T01:30:35.9627730Z del arg0_1 2022-11-23T01:30:35.9627796Z del arg1_1 2022-11-23T01:30:35.9627862Z del arg2_1 2022-11-23T01:30:35.9627931Z return (buf0, ) 2022-11-23T01:30:35.9627935Z 2022-11-23T01:30:35.9627940Z 2022-11-23T01:30:35.9628014Z if __name__ == "__main__": 2022-11-23T01:30:35.9628114Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9628236Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9628437Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9628631Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9628834Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9628955Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9628960Z 2022-11-23T01:30:35.9628967Z 2022-11-23T01:30:35.9629061Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9629129Z import torch 2022-11-23T01:30:35.9629185Z import random 2022-11-23T01:30:35.9629327Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9629449Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9629455Z 2022-11-23T01:30:35.9629531Z aten = torch.ops.aten 2022-11-23T01:30:35.9629664Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9629756Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9629761Z 2022-11-23T01:30:35.9629765Z 2022-11-23T01:30:35.9629850Z async_compile.wait(globals()) 2022-11-23T01:30:35.9629920Z del async_compile 2022-11-23T01:30:35.9629924Z 2022-11-23T01:30:35.9629981Z def call(args): 2022-11-23T01:30:35.9630055Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9630125Z args.clear() 2022-11-23T01:30:35.9630349Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '') 2022-11-23T01:30:35.9630445Z del arg0_1 2022-11-23T01:30:35.9630509Z del arg1_1 2022-11-23T01:30:35.9630578Z return (buf0, ) 2022-11-23T01:30:35.9630583Z 2022-11-23T01:30:35.9630587Z 2022-11-23T01:30:35.9630663Z if __name__ == "__main__": 2022-11-23T01:30:35.9630763Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9630884Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9631086Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9631291Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9631404Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9631408Z 2022-11-23T01:30:35.9631413Z 2022-11-23T01:30:35.9631505Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9631572Z import torch 2022-11-23T01:30:35.9631628Z import random 2022-11-23T01:30:35.9631740Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9631861Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9631866Z 2022-11-23T01:30:35.9631944Z aten = torch.ops.aten 2022-11-23T01:30:35.9632078Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9632168Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9632173Z 2022-11-23T01:30:35.9632177Z 2022-11-23T01:30:35.9632262Z async_compile.wait(globals()) 2022-11-23T01:30:35.9632335Z del async_compile 2022-11-23T01:30:35.9632339Z 2022-11-23T01:30:35.9632396Z def call(args): 2022-11-23T01:30:35.9632477Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9632547Z args.clear() 2022-11-23T01:30:35.9632771Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '') 2022-11-23T01:30:35.9632837Z del arg0_1 2022-11-23T01:30:35.9632903Z del arg1_1 2022-11-23T01:30:35.9632970Z del arg2_1 2022-11-23T01:30:35.9633027Z return (buf0, ) 2022-11-23T01:30:35.9633044Z 2022-11-23T01:30:35.9633049Z 2022-11-23T01:30:35.9633113Z if __name__ == "__main__": 2022-11-23T01:30:35.9633227Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9633350Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9633555Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9633749Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9633944Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9634064Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9634069Z 2022-11-23T01:30:35.9634073Z 2022-11-23T01:30:35.9634166Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9634223Z import torch 2022-11-23T01:30:35.9634292Z import random 2022-11-23T01:30:35.9634405Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9634529Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9634535Z 2022-11-23T01:30:35.9634612Z aten = torch.ops.aten 2022-11-23T01:30:35.9634741Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9634831Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9634865Z 2022-11-23T01:30:35.9634869Z 2022-11-23T01:30:35.9634957Z async_compile.wait(globals()) 2022-11-23T01:30:35.9635015Z del async_compile 2022-11-23T01:30:35.9635020Z 2022-11-23T01:30:35.9635090Z def call(args): 2022-11-23T01:30:35.9635163Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9635237Z args.clear() 2022-11-23T01:30:35.9635460Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '') 2022-11-23T01:30:35.9635527Z del arg0_1 2022-11-23T01:30:35.9635592Z del arg1_1 2022-11-23T01:30:35.9635649Z return (buf0, ) 2022-11-23T01:30:35.9635654Z 2022-11-23T01:30:35.9635658Z 2022-11-23T01:30:35.9635733Z if __name__ == "__main__": 2022-11-23T01:30:35.9635843Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9635992Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9636192Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9636391Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9636504Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9636508Z 2022-11-23T01:30:35.9636512Z 2022-11-23T01:30:35.9636604Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9636660Z import torch 2022-11-23T01:30:35.9636729Z import random 2022-11-23T01:30:35.9636841Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9636960Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9636964Z 2022-11-23T01:30:35.9637041Z aten = torch.ops.aten 2022-11-23T01:30:35.9637174Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9637264Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9637269Z 2022-11-23T01:30:35.9637275Z 2022-11-23T01:30:35.9637362Z async_compile.wait(globals()) 2022-11-23T01:30:35.9637420Z del async_compile 2022-11-23T01:30:35.9637425Z 2022-11-23T01:30:35.9637495Z def call(args): 2022-11-23T01:30:35.9637577Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9637649Z args.clear() 2022-11-23T01:30:35.9637863Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '') 2022-11-23T01:30:35.9637931Z del arg0_1 2022-11-23T01:30:35.9638001Z del arg1_1 2022-11-23T01:30:35.9638054Z del arg2_1 2022-11-23T01:30:35.9638124Z return (buf0, ) 2022-11-23T01:30:35.9638129Z 2022-11-23T01:30:35.9638132Z 2022-11-23T01:30:35.9638208Z if __name__ == "__main__": 2022-11-23T01:30:35.9638320Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9638440Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9638639Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9638832Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9639038Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9639148Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9639153Z 2022-11-23T01:30:35.9639170Z 2022-11-23T01:30:35.9639251Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9639321Z import torch 2022-11-23T01:30:35.9639392Z import random 2022-11-23T01:30:35.9639504Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9639622Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9639627Z 2022-11-23T01:30:35.9639706Z aten = torch.ops.aten 2022-11-23T01:30:35.9639836Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9639914Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9639918Z 2022-11-23T01:30:35.9639922Z 2022-11-23T01:30:35.9640140Z async_compile.wait(globals()) 2022-11-23T01:30:35.9640221Z del async_compile 2022-11-23T01:30:35.9640225Z 2022-11-23T01:30:35.9640295Z def call(args): 2022-11-23T01:30:35.9640370Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9640440Z args.clear() 2022-11-23T01:30:35.9640688Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '') 2022-11-23T01:30:35.9640745Z del arg0_1 2022-11-23T01:30:35.9640816Z del arg1_1 2022-11-23T01:30:35.9640886Z return (buf0, ) 2022-11-23T01:30:35.9640891Z 2022-11-23T01:30:35.9640894Z 2022-11-23T01:30:35.9640969Z if __name__ == "__main__": 2022-11-23T01:30:35.9641079Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9641200Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9641398Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9641603Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9641703Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9641752Z 2022-11-23T01:30:35.9641756Z 2022-11-23T01:30:35.9641839Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9641907Z import torch 2022-11-23T01:30:35.9641977Z import random 2022-11-23T01:30:35.9642092Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9642211Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9642215Z 2022-11-23T01:30:35.9642290Z aten = torch.ops.aten 2022-11-23T01:30:35.9642421Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9642499Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9642504Z 2022-11-23T01:30:35.9642520Z 2022-11-23T01:30:35.9642594Z async_compile.wait(globals()) 2022-11-23T01:30:35.9642664Z del async_compile 2022-11-23T01:30:35.9642669Z 2022-11-23T01:30:35.9642738Z def call(args): 2022-11-23T01:30:35.9642818Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:35.9642888Z args.clear() 2022-11-23T01:30:35.9643103Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '') 2022-11-23T01:30:35.9643173Z del arg0_1 2022-11-23T01:30:35.9643226Z del arg1_1 2022-11-23T01:30:35.9643290Z del arg2_1 2022-11-23T01:30:35.9643363Z return (buf0, ) 2022-11-23T01:30:35.9643367Z 2022-11-23T01:30:35.9643371Z 2022-11-23T01:30:35.9643445Z if __name__ == "__main__": 2022-11-23T01:30:35.9643555Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9643674Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9643871Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9644051Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9644245Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9644363Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:35.9644368Z 2022-11-23T01:30:35.9644372Z 2022-11-23T01:30:35.9644466Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9644536Z import torch 2022-11-23T01:30:35.9644604Z import random 2022-11-23T01:30:35.9644717Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9644917Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9644922Z 2022-11-23T01:30:35.9644986Z aten = torch.ops.aten 2022-11-23T01:30:35.9645118Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9645208Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9645213Z 2022-11-23T01:30:35.9645217Z 2022-11-23T01:30:35.9645303Z async_compile.wait(globals()) 2022-11-23T01:30:35.9645375Z del async_compile 2022-11-23T01:30:35.9645379Z 2022-11-23T01:30:35.9645449Z def call(args): 2022-11-23T01:30:35.9645523Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9645593Z args.clear() 2022-11-23T01:30:35.9645792Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '') 2022-11-23T01:30:35.9645860Z del arg0_1 2022-11-23T01:30:35.9645931Z del arg1_1 2022-11-23T01:30:35.9646003Z return (buf0, ) 2022-11-23T01:30:35.9646008Z 2022-11-23T01:30:35.9646012Z 2022-11-23T01:30:35.9646085Z if __name__ == "__main__": 2022-11-23T01:30:35.9646239Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9646362Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9646549Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9646746Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:30:35.9646859Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9646864Z 2022-11-23T01:30:35.9646929Z ok (1.426s) 2022-11-23T01:30:35.9647238Z test_linspace_cpu (__main__.CpuTests) ... [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9647555Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9647810Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9648063Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9648341Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9648659Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9648992Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9649311Z [2022-11-23 01:25:36,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9649686Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9649782Z 909 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9649880Z 2 LOAD_ATTR 1 (linspace) 2022-11-23T01:30:35.9649969Z 4 LOAD_CONST 1 (0.125) 2022-11-23T01:30:35.9650055Z 6 LOAD_CONST 2 (0.875) 2022-11-23T01:30:35.9650142Z 8 LOAD_CONST 3 (7) 2022-11-23T01:30:35.9650218Z 10 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9650307Z 12 LOAD_ATTR 2 (device) 2022-11-23T01:30:35.9650452Z 14 LOAD_CONST 4 (('device',)) 2022-11-23T01:30:35.9650544Z 16 CALL_FUNCTION_KW 4 2022-11-23T01:30:35.9650633Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9650708Z 20 BINARY_ADD 2022-11-23T01:30:35.9650784Z 22 RETURN_VALUE 2022-11-23T01:30:35.9650831Z 2022-11-23T01:30:35.9650848Z 2022-11-23T01:30:35.9651149Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:909 2022-11-23T01:30:35.9651367Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.9651740Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable()] 2022-11-23T01:30:35.9652071Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable()] 2022-11-23T01:30:35.9652435Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9652874Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:35.9653324Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:35.9653802Z [2022-11-23 01:25:36,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:35.9654291Z [2022-11-23 01:25:36,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:30:35.9654847Z [2022-11-23 01:25:36,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:35.9655084Z [2022-11-23 01:25:36,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:35.9655355Z [2022-11-23 01:25:36,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9655599Z [2022-11-23 01:25:36,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9655963Z [2022-11-23 01:25:36,748] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9656212Z [2022-11-23 01:25:36,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9656445Z [2022-11-23 01:25:36,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9656698Z [2022-11-23 01:25:36,749] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9656946Z [2022-11-23 01:25:36,753] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9657132Z [2022-11-23 01:25:36,754] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9657265Z __compiled_fn_294 .2565 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9657353Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9657648Z call_function, linspace, , (0.125, 0.875, 7), {'device': device(type='cpu')} 2022-11-23T01:30:35.9657821Z call_function, add, , (linspace, ex_0_), {} 2022-11-23T01:30:35.9657918Z output, output, output, ((add,),), {} 2022-11-23T01:30:35.9657923Z 2022-11-23T01:30:35.9658246Z [2022-11-23 01:25:36,754] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9658338Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9658427Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9658513Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9658603Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9658685Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9658760Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9658834Z 12 RETURN_VALUE 2022-11-23T01:30:35.9658839Z 2022-11-23T01:30:35.9658899Z 2022-11-23T01:30:35.9659224Z [2022-11-23 01:25:36,754] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9659356Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_294) 2022-11-23T01:30:35.9659448Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9659537Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9659642Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9659717Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9659804Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9659878Z 12 RETURN_VALUE 2022-11-23T01:30:35.9659883Z 2022-11-23T01:30:35.9659942Z 2022-11-23T01:30:35.9660123Z [2022-11-23 01:25:36,755] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9660192Z - 2022-11-23T01:30:35.9660308Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9660360Z { 2022-11-23T01:30:35.9660500Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9660714Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9660836Z 'obj_weakref': None 2022-11-23T01:30:35.9661060Z 'guarded_class': 2022-11-23T01:30:35.9661123Z } 2022-11-23T01:30:35.9661185Z 2022-11-23T01:30:35.9661243Z - 2022-11-23T01:30:35.9661362Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.9661426Z { 2022-11-23T01:30:35.9661565Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.9661733Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.9661945Z 'obj_weakref': 2022-11-23T01:30:35.9662194Z 'guarded_class': 2022-11-23T01:30:35.9662247Z } 2022-11-23T01:30:35.9662311Z 2022-11-23T01:30:35.9662379Z - 2022-11-23T01:30:35.9662499Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9662563Z { 2022-11-23T01:30:35.9662705Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9662810Z 'code': None, 2022-11-23T01:30:35.9663008Z 'obj_weakref': 2022-11-23T01:30:35.9663259Z 'guarded_class': 2022-11-23T01:30:35.9663323Z } 2022-11-23T01:30:35.9663385Z 2022-11-23T01:30:35.9663454Z - 2022-11-23T01:30:35.9663581Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9663643Z { 2022-11-23T01:30:35.9663763Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9663931Z 'code': ['___check_obj_id(model, 140534625221312)'], 2022-11-23T01:30:35.9664051Z 'obj_weakref': None 2022-11-23T01:30:35.9664280Z 'guarded_class': 2022-11-23T01:30:35.9664345Z } 2022-11-23T01:30:35.9664411Z 2022-11-23T01:30:35.9664483Z - 2022-11-23T01:30:35.9664590Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9664652Z { 2022-11-23T01:30:35.9664787Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9665002Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9665118Z 'obj_weakref': None 2022-11-23T01:30:35.9665340Z 'guarded_class': 2022-11-23T01:30:35.9665402Z } 2022-11-23T01:30:35.9665453Z 2022-11-23T01:30:35.9665522Z - 2022-11-23T01:30:35.9665654Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9665718Z { 2022-11-23T01:30:35.9665836Z 'guard_types': None, 2022-11-23T01:30:35.9665941Z 'code': None, 2022-11-23T01:30:35.9666057Z 'obj_weakref': None 2022-11-23T01:30:35.9666195Z 'guarded_class': None 2022-11-23T01:30:35.9666259Z } 2022-11-23T01:30:35.9666322Z 2022-11-23T01:30:35.9666582Z [2022-11-23 01:25:36,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287 2022-11-23T01:30:35.9666950Z [2022-11-23 01:25:38,240] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bb/cbbme4qoyr2iobd2xunmjorfa7jl7e7ileu2edhyifosjkmsm3p6.py 2022-11-23T01:30:35.9667214Z [2022-11-23 01:25:38,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287 2022-11-23T01:30:35.9667219Z 2022-11-23T01:30:35.9667311Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9667378Z import torch 2022-11-23T01:30:35.9667435Z import random 2022-11-23T01:30:35.9667590Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9667710Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9667715Z 2022-11-23T01:30:35.9667794Z aten = torch.ops.aten 2022-11-23T01:30:35.9667928Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9668019Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9668024Z 2022-11-23T01:30:35.9668028Z 2022-11-23T01:30:35.9668159Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9668363Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9668469Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9668568Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9668631Z { 2022-11-23T01:30:35.9668728Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9668789Z { 2022-11-23T01:30:35.9668865Z #pragma omp for 2022-11-23T01:30:35.9668934Z for(long i0=0; i0<7; i0+=1) 2022-11-23T01:30:35.9668999Z { 2022-11-23T01:30:35.9669062Z { 2022-11-23T01:30:35.9669125Z { 2022-11-23T01:30:35.9669219Z auto tmp4 = in_ptr0[i0]; 2022-11-23T01:30:35.9669324Z auto tmp0 = static_cast(0.125); 2022-11-23T01:30:35.9669426Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.9669504Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.9669594Z auto tmp3 = tmp2 + tmp0; 2022-11-23T01:30:35.9669680Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:35.9669765Z out_ptr0[i0] = tmp5; 2022-11-23T01:30:35.9669829Z } 2022-11-23T01:30:35.9669893Z } 2022-11-23T01:30:35.9669954Z } 2022-11-23T01:30:35.9670002Z } 2022-11-23T01:30:35.9670064Z } 2022-11-23T01:30:35.9670145Z ''') 2022-11-23T01:30:35.9670150Z 2022-11-23T01:30:35.9670154Z 2022-11-23T01:30:35.9670243Z async_compile.wait(globals()) 2022-11-23T01:30:35.9670318Z del async_compile 2022-11-23T01:30:35.9670323Z 2022-11-23T01:30:35.9670392Z def call(args): 2022-11-23T01:30:35.9670460Z arg0_1, = args 2022-11-23T01:30:35.9670520Z args.clear() 2022-11-23T01:30:35.9670715Z buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9670847Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9670917Z del arg0_1 2022-11-23T01:30:35.9670987Z return (buf0, ) 2022-11-23T01:30:35.9670992Z 2022-11-23T01:30:35.9670996Z 2022-11-23T01:30:35.9671072Z if __name__ == "__main__": 2022-11-23T01:30:35.9671184Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9671304Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9671486Z arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9671593Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.9671600Z 2022-11-23T01:30:35.9671667Z ok (1.501s) 2022-11-23T01:30:35.9672032Z test_list_clearing_cpu (__main__.CpuTests) ... [2022-11-23 01:25:38,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:30:35.9672404Z [2022-11-23 01:25:39,717] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nl/cnlvwwhprqgo2tyqs5vuvnnjxdxedh67oer3ns3zis76ngmrvxxv.py 2022-11-23T01:30:35.9672668Z [2022-11-23 01:25:39,717] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:30:35.9672673Z 2022-11-23T01:30:35.9672765Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9672834Z import torch 2022-11-23T01:30:35.9672903Z import random 2022-11-23T01:30:35.9673005Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9673123Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9673128Z 2022-11-23T01:30:35.9673204Z aten = torch.ops.aten 2022-11-23T01:30:35.9673372Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9673464Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9673469Z 2022-11-23T01:30:35.9673473Z 2022-11-23T01:30:35.9673608Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9673812Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9673931Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9674021Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9674121Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9674183Z { 2022-11-23T01:30:35.9674284Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9674346Z { 2022-11-23T01:30:35.9674422Z #pragma omp for 2022-11-23T01:30:35.9674503Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:35.9674552Z { 2022-11-23T01:30:35.9674710Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.9674844Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.9674929Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9675041Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.9675103Z } 2022-11-23T01:30:35.9675197Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.9675266Z for(long i0=24; i0<25; i0+=1) 2022-11-23T01:30:35.9675328Z { 2022-11-23T01:30:35.9675411Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.9675495Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.9675579Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9675659Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.9675720Z } 2022-11-23T01:30:35.9675769Z } 2022-11-23T01:30:35.9675828Z } 2022-11-23T01:30:35.9675908Z ''') 2022-11-23T01:30:35.9675912Z 2022-11-23T01:30:35.9675917Z 2022-11-23T01:30:35.9676005Z async_compile.wait(globals()) 2022-11-23T01:30:35.9676078Z del async_compile 2022-11-23T01:30:35.9676085Z 2022-11-23T01:30:35.9676156Z def call(args): 2022-11-23T01:30:35.9676223Z x_1, y_1 = args 2022-11-23T01:30:35.9676282Z args.clear() 2022-11-23T01:30:35.9676479Z buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9676635Z kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9676701Z del x_1 2022-11-23T01:30:35.9676765Z del y_1 2022-11-23T01:30:35.9676957Z buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9677048Z aten.mm.out(buf0, buf0, out=buf1) 2022-11-23T01:30:35.9677106Z return (buf1, ) 2022-11-23T01:30:35.9677111Z 2022-11-23T01:30:35.9677129Z 2022-11-23T01:30:35.9677192Z if __name__ == "__main__": 2022-11-23T01:30:35.9677305Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9677428Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9677613Z x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9677800Z y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9677939Z print_performance(lambda: call([x_1, y_1])) 2022-11-23T01:30:35.9677944Z 2022-11-23T01:30:35.9678010Z ok (1.477s) 2022-11-23T01:30:35.9678298Z test_log2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9678616Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9678833Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9679086Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9679363Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9679716Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9680140Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9680468Z [2022-11-23 01:25:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9680845Z [2022-11-23 01:25:39,725] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9680940Z 2692 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9681019Z 2 LOAD_METHOD 1 (log2) 2022-11-23T01:30:35.9681112Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9681200Z 6 CALL_METHOD 1 2022-11-23T01:30:35.9681293Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9681387Z 10 LOAD_METHOD 1 (log2) 2022-11-23T01:30:35.9681475Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9681562Z 14 LOAD_CONST 1 (1) 2022-11-23T01:30:35.9681635Z 16 BINARY_ADD 2022-11-23T01:30:35.9681710Z 18 CALL_METHOD 1 2022-11-23T01:30:35.9681798Z 20 LOAD_CONST 2 (2) 2022-11-23T01:30:35.9681880Z 22 BINARY_SUBTRACT 2022-11-23T01:30:35.9681967Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.9682043Z 26 RETURN_VALUE 2022-11-23T01:30:35.9682104Z 2022-11-23T01:30:35.9682109Z 2022-11-23T01:30:35.9682424Z [2022-11-23 01:25:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2692 2022-11-23T01:30:35.9682631Z [2022-11-23 01:25:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.9682997Z [2022-11-23 01:25:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable()] 2022-11-23T01:30:35.9683319Z [2022-11-23 01:25:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.9683671Z [2022-11-23 01:25:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9683916Z [2022-11-23 01:25:39,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.9684309Z [2022-11-23 01:25:39,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9684694Z [2022-11-23 01:25:39,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9685179Z [2022-11-23 01:25:39,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9685601Z [2022-11-23 01:25:39,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9685987Z [2022-11-23 01:25:39,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9686300Z [2022-11-23 01:25:39,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9686618Z [2022-11-23 01:25:39,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9686874Z [2022-11-23 01:25:39,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9687120Z [2022-11-23 01:25:39,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9687495Z [2022-11-23 01:25:39,729] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9687738Z [2022-11-23 01:25:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9687974Z [2022-11-23 01:25:39,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9688230Z [2022-11-23 01:25:39,731] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9688484Z [2022-11-23 01:25:39,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9688671Z [2022-11-23 01:25:39,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9688808Z __compiled_fn_295 .2572 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9688884Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9689108Z call_function, log2, , (ex_0_,), {} 2022-11-23T01:30:35.9689279Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:35.9689499Z call_function, log2_1, , (add,), {} 2022-11-23T01:30:35.9689669Z call_function, sub, , (log2_1, 2), {} 2022-11-23T01:30:35.9689772Z output, output, output, ((log2, sub),), {} 2022-11-23T01:30:35.9689778Z 2022-11-23T01:30:35.9690104Z [2022-11-23 01:25:39,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9690198Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9690287Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9690361Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9690452Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9690537Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9690624Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9690698Z 12 RETURN_VALUE 2022-11-23T01:30:35.9690703Z 2022-11-23T01:30:35.9690764Z 2022-11-23T01:30:35.9691088Z [2022-11-23 01:25:39,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9691184Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_295) 2022-11-23T01:30:35.9691315Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9691407Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9691483Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9691569Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9691670Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9691769Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9691856Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9691919Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.9692018Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9692105Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9692180Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.9692295Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.9692368Z 26 RETURN_VALUE 2022-11-23T01:30:35.9692373Z 2022-11-23T01:30:35.9692433Z 2022-11-23T01:30:35.9692606Z [2022-11-23 01:25:39,736] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9692676Z - 2022-11-23T01:30:35.9692794Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9692857Z { 2022-11-23T01:30:35.9692997Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9693183Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9693301Z 'obj_weakref': None 2022-11-23T01:30:35.9693512Z 'guarded_class': 2022-11-23T01:30:35.9693578Z } 2022-11-23T01:30:35.9693641Z 2022-11-23T01:30:35.9693709Z - 2022-11-23T01:30:35.9693832Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9693894Z { 2022-11-23T01:30:35.9694038Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9694131Z 'code': None, 2022-11-23T01:30:35.9694344Z 'obj_weakref': 2022-11-23T01:30:35.9694595Z 'guarded_class': 2022-11-23T01:30:35.9694657Z } 2022-11-23T01:30:35.9694720Z 2022-11-23T01:30:35.9694788Z - 2022-11-23T01:30:35.9694917Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9694967Z { 2022-11-23T01:30:35.9695099Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9695265Z 'code': ['___check_obj_id(model, 140534643904656)'], 2022-11-23T01:30:35.9695383Z 'obj_weakref': None 2022-11-23T01:30:35.9695612Z 'guarded_class': 2022-11-23T01:30:35.9695674Z } 2022-11-23T01:30:35.9695739Z 2022-11-23T01:30:35.9695795Z - 2022-11-23T01:30:35.9695914Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9695976Z { 2022-11-23T01:30:35.9696111Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9696324Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9696440Z 'obj_weakref': None 2022-11-23T01:30:35.9696659Z 'guarded_class': 2022-11-23T01:30:35.9696709Z } 2022-11-23T01:30:35.9696773Z 2022-11-23T01:30:35.9696841Z - 2022-11-23T01:30:35.9696973Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9697036Z { 2022-11-23T01:30:35.9697153Z 'guard_types': None, 2022-11-23T01:30:35.9697259Z 'code': None, 2022-11-23T01:30:35.9697362Z 'obj_weakref': None 2022-11-23T01:30:35.9697484Z 'guarded_class': None 2022-11-23T01:30:35.9697546Z } 2022-11-23T01:30:35.9697608Z 2022-11-23T01:30:35.9697899Z [2022-11-23 01:25:39,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288 2022-11-23T01:30:35.9698272Z [2022-11-23 01:25:41,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kp/ckpuyw7unqobpmslug5f4u3hgkgw2hcpppg6ow7fsmelxlu76ybv.py 2022-11-23T01:30:35.9698536Z [2022-11-23 01:25:41,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288 2022-11-23T01:30:35.9698541Z 2022-11-23T01:30:35.9698633Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9698689Z import torch 2022-11-23T01:30:35.9698757Z import random 2022-11-23T01:30:35.9698871Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9698991Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9698995Z 2022-11-23T01:30:35.9699073Z aten = torch.ops.aten 2022-11-23T01:30:35.9699234Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9699324Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9699329Z 2022-11-23T01:30:35.9699336Z 2022-11-23T01:30:35.9699456Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9699660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9699777Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9699876Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.9699973Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.9700033Z { 2022-11-23T01:30:35.9700130Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9700179Z { 2022-11-23T01:30:35.9700254Z #pragma omp for 2022-11-23T01:30:35.9700335Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9700397Z { 2022-11-23T01:30:35.9700536Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.9700620Z auto tmp1 = tmp0.log(); 2022-11-23T01:30:35.9700763Z auto tmp2 = at::vec::Vectorized(static_cast(1.4426950408889634)); 2022-11-23T01:30:35.9700847Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:30:35.9700962Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:35.9701047Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:35.9701128Z auto tmp6 = tmp5.log(); 2022-11-23T01:30:35.9701209Z auto tmp7 = tmp6 * tmp2; 2022-11-23T01:30:35.9701340Z auto tmp8 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:35.9701460Z auto tmp9 = tmp7 - tmp8; 2022-11-23T01:30:35.9701551Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.9701627Z tmp9.store(out_ptr1 + 8*i0); 2022-11-23T01:30:35.9701688Z } 2022-11-23T01:30:35.9701781Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.9701866Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:35.9701927Z { 2022-11-23T01:30:35.9702009Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.9707997Z auto tmp1 = std::log(tmp0); 2022-11-23T01:30:35.9708158Z auto tmp2 = static_cast(1.4426950408889634); 2022-11-23T01:30:35.9708241Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:30:35.9708333Z auto tmp4 = static_cast(1); 2022-11-23T01:30:35.9708409Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:35.9708493Z auto tmp6 = std::log(tmp5); 2022-11-23T01:30:35.9708566Z auto tmp7 = tmp6 * tmp2; 2022-11-23T01:30:35.9708652Z auto tmp8 = static_cast(2); 2022-11-23T01:30:35.9708794Z auto tmp9 = tmp7 - tmp8; 2022-11-23T01:30:35.9708864Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.9708932Z out_ptr1[i0] = tmp9; 2022-11-23T01:30:35.9708984Z } 2022-11-23T01:30:35.9709042Z } 2022-11-23T01:30:35.9709105Z } 2022-11-23T01:30:35.9709185Z ''') 2022-11-23T01:30:35.9709192Z 2022-11-23T01:30:35.9709196Z 2022-11-23T01:30:35.9709274Z async_compile.wait(globals()) 2022-11-23T01:30:35.9709350Z del async_compile 2022-11-23T01:30:35.9709449Z 2022-11-23T01:30:35.9709524Z def call(args): 2022-11-23T01:30:35.9709595Z arg0_1, = args 2022-11-23T01:30:35.9709667Z args.clear() 2022-11-23T01:30:35.9709871Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9710066Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9710216Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.9710287Z del arg0_1 2022-11-23T01:30:35.9710369Z return (buf0, buf1, ) 2022-11-23T01:30:35.9710374Z 2022-11-23T01:30:35.9710379Z 2022-11-23T01:30:35.9710457Z if __name__ == "__main__": 2022-11-23T01:30:35.9710575Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9710736Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9710934Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9711045Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.9711050Z 2022-11-23T01:30:35.9711104Z ok (1.454s) 2022-11-23T01:30:35.9711412Z test_log_fp64_cpu (__main__.CpuTests) ... [2022-11-23 01:25:41,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9711730Z [2022-11-23 01:25:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9711948Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9712202Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9712477Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9712801Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9713149Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9713472Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9713849Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9713947Z 2710 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9714028Z 2 LOAD_METHOD 1 (log) 2022-11-23T01:30:35.9714121Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9714211Z 6 CALL_METHOD 1 2022-11-23T01:30:35.9714309Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9714400Z 10 LOAD_METHOD 2 (log2) 2022-11-23T01:30:35.9714488Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9714575Z 14 CALL_METHOD 1 2022-11-23T01:30:35.9714651Z 16 BUILD_TUPLE 2 2022-11-23T01:30:35.9714727Z 18 RETURN_VALUE 2022-11-23T01:30:35.9714789Z 2022-11-23T01:30:35.9714793Z 2022-11-23T01:30:35.9715109Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2710 2022-11-23T01:30:35.9715327Z [2022-11-23 01:25:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.9715689Z [2022-11-23 01:25:41,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable()] 2022-11-23T01:30:35.9716072Z [2022-11-23 01:25:41,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.9716428Z [2022-11-23 01:25:41,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9716676Z [2022-11-23 01:25:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.9717056Z [2022-11-23 01:25:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9717406Z [2022-11-23 01:25:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9717838Z [2022-11-23 01:25:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9718105Z [2022-11-23 01:25:41,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9718351Z [2022-11-23 01:25:41,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9718726Z [2022-11-23 01:25:41,180] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9718969Z [2022-11-23 01:25:41,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9719202Z [2022-11-23 01:25:41,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9719460Z [2022-11-23 01:25:41,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9719714Z [2022-11-23 01:25:41,184] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9719905Z [2022-11-23 01:25:41,184] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9720113Z __compiled_fn_296 .2578 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9720207Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9720432Z call_function, log, , (ex_0_,), {} 2022-11-23T01:30:35.9720656Z call_function, log2, , (ex_0_,), {} 2022-11-23T01:30:35.9720761Z output, output, output, ((log, log2),), {} 2022-11-23T01:30:35.9720767Z 2022-11-23T01:30:35.9721094Z [2022-11-23 01:25:41,185] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9721192Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9721285Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9721360Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9721452Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9721541Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9721631Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9721710Z 12 RETURN_VALUE 2022-11-23T01:30:35.9721716Z 2022-11-23T01:30:35.9721777Z 2022-11-23T01:30:35.9722100Z [2022-11-23 01:25:41,185] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9722208Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_296) 2022-11-23T01:30:35.9722284Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9722377Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9722458Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9722581Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9722687Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9722790Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9722878Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9722943Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.9723041Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9723130Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9723207Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.9723295Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.9723371Z 26 RETURN_VALUE 2022-11-23T01:30:35.9723376Z 2022-11-23T01:30:35.9723435Z 2022-11-23T01:30:35.9723606Z [2022-11-23 01:25:41,185] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9723704Z - 2022-11-23T01:30:35.9723826Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9723893Z { 2022-11-23T01:30:35.9724036Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9724222Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9724341Z 'obj_weakref': None 2022-11-23T01:30:35.9724553Z 'guarded_class': 2022-11-23T01:30:35.9724623Z } 2022-11-23T01:30:35.9724687Z 2022-11-23T01:30:35.9724867Z - 2022-11-23T01:30:35.9724996Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9725062Z { 2022-11-23T01:30:35.9725204Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9725300Z 'code': None, 2022-11-23T01:30:35.9725514Z 'obj_weakref': 2022-11-23T01:30:35.9725770Z 'guarded_class': 2022-11-23T01:30:35.9725835Z } 2022-11-23T01:30:35.9725902Z 2022-11-23T01:30:35.9725973Z - 2022-11-23T01:30:35.9726106Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9726156Z { 2022-11-23T01:30:35.9726294Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9726465Z 'code': ['___check_obj_id(model, 140534620784816)'], 2022-11-23T01:30:35.9726585Z 'obj_weakref': None 2022-11-23T01:30:35.9726820Z 'guarded_class': 2022-11-23T01:30:35.9726887Z } 2022-11-23T01:30:35.9726951Z 2022-11-23T01:30:35.9727008Z - 2022-11-23T01:30:35.9727131Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9727195Z { 2022-11-23T01:30:35.9727333Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9727554Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9727677Z 'obj_weakref': None 2022-11-23T01:30:35.9727901Z 'guarded_class': 2022-11-23T01:30:35.9727952Z } 2022-11-23T01:30:35.9728015Z 2022-11-23T01:30:35.9728085Z - 2022-11-23T01:30:35.9728217Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9728281Z { 2022-11-23T01:30:35.9728400Z 'guard_types': None, 2022-11-23T01:30:35.9728506Z 'code': None, 2022-11-23T01:30:35.9728612Z 'obj_weakref': None 2022-11-23T01:30:35.9728733Z 'guarded_class': None 2022-11-23T01:30:35.9728796Z } 2022-11-23T01:30:35.9728860Z 2022-11-23T01:30:35.9729122Z [2022-11-23 01:25:41,191] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289 2022-11-23T01:30:35.9729550Z [2022-11-23 01:25:42,616] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gm/cgm3z2wjzjjanheutm65vldhvfuzfqkukcs2zdy426s6dl3hq3bm.py 2022-11-23T01:30:35.9729824Z [2022-11-23 01:25:42,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289 2022-11-23T01:30:35.9729831Z 2022-11-23T01:30:35.9729924Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9729982Z import torch 2022-11-23T01:30:35.9730056Z import random 2022-11-23T01:30:35.9730170Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9730293Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9730298Z 2022-11-23T01:30:35.9730375Z aten = torch.ops.aten 2022-11-23T01:30:35.9730510Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9730605Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9730610Z 2022-11-23T01:30:35.9730615Z 2022-11-23T01:30:35.9730787Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9730980Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9731105Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:35.9731208Z double* __restrict__ out_ptr0, 2022-11-23T01:30:35.9731308Z double* __restrict__ out_ptr1) 2022-11-23T01:30:35.9731371Z { 2022-11-23T01:30:35.9731468Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9731529Z { 2022-11-23T01:30:35.9731596Z #pragma omp for 2022-11-23T01:30:35.9731681Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:35.9731744Z { 2022-11-23T01:30:35.9731809Z { 2022-11-23T01:30:35.9731875Z { 2022-11-23T01:30:35.9731967Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.9732075Z auto tmp1 = std::log(tmp0); 2022-11-23T01:30:35.9732176Z auto tmp2 = static_cast(1.4426950408889634); 2022-11-23T01:30:35.9732271Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:30:35.9732356Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.9732443Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:35.9732510Z } 2022-11-23T01:30:35.9732574Z } 2022-11-23T01:30:35.9732624Z } 2022-11-23T01:30:35.9732688Z } 2022-11-23T01:30:35.9732750Z } 2022-11-23T01:30:35.9732829Z ''') 2022-11-23T01:30:35.9732834Z 2022-11-23T01:30:35.9732838Z 2022-11-23T01:30:35.9732929Z async_compile.wait(globals()) 2022-11-23T01:30:35.9733002Z del async_compile 2022-11-23T01:30:35.9733006Z 2022-11-23T01:30:35.9733078Z def call(args): 2022-11-23T01:30:35.9733149Z arg0_1, = args 2022-11-23T01:30:35.9733206Z args.clear() 2022-11-23T01:30:35.9733405Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:35.9733600Z buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:35.9733768Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.9733838Z del arg0_1 2022-11-23T01:30:35.9733919Z return (buf0, buf1, ) 2022-11-23T01:30:35.9733924Z 2022-11-23T01:30:35.9733929Z 2022-11-23T01:30:35.9734005Z if __name__ == "__main__": 2022-11-23T01:30:35.9734105Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9734227Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9734422Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:35.9734532Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.9734537Z 2022-11-23T01:30:35.9734603Z ok (1.445s) 2022-11-23T01:30:35.9734912Z test_log_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9735232Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9735485Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9735741Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9736004Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9736325Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9736668Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9736995Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9737403Z [2022-11-23 01:25:42,622] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9737498Z 1237 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.9737600Z 2 LOAD_METHOD 1 (log_softmax) 2022-11-23T01:30:35.9737691Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:35.9737779Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:35.9737840Z 8 BINARY_ADD 2022-11-23T01:30:35.9737976Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:30:35.9738065Z 12 CALL_METHOD 2 2022-11-23T01:30:35.9738156Z 14 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.9738256Z 16 LOAD_METHOD 1 (log_softmax) 2022-11-23T01:30:35.9738345Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.9738435Z 20 LOAD_CONST 2 (0) 2022-11-23T01:30:35.9738509Z 22 CALL_METHOD 2 2022-11-23T01:30:35.9738598Z 24 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.9738695Z 26 LOAD_METHOD 1 (log_softmax) 2022-11-23T01:30:35.9738780Z 28 LOAD_FAST 1 (b) 2022-11-23T01:30:35.9738868Z 30 LOAD_CONST 3 (1) 2022-11-23T01:30:35.9738953Z 32 CALL_METHOD 2 2022-11-23T01:30:35.9739043Z 34 BUILD_TUPLE 3 2022-11-23T01:30:35.9739119Z 36 RETURN_VALUE 2022-11-23T01:30:35.9739167Z 2022-11-23T01:30:35.9739172Z 2022-11-23T01:30:35.9739488Z [2022-11-23 01:25:42,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1237 2022-11-23T01:30:35.9739701Z [2022-11-23 01:25:42,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:30:35.9740122Z [2022-11-23 01:25:42,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable()] 2022-11-23T01:30:35.9740414Z [2022-11-23 01:25:42,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:35.9740739Z [2022-11-23 01:25:42,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9741098Z [2022-11-23 01:25:42,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9741423Z [2022-11-23 01:25:42,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9741821Z [2022-11-23 01:25:42,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9742065Z [2022-11-23 01:25:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:30:35.9742507Z [2022-11-23 01:25:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9742817Z [2022-11-23 01:25:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9743169Z [2022-11-23 01:25:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9743597Z [2022-11-23 01:25:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9743867Z [2022-11-23 01:25:42,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9744333Z [2022-11-23 01:25:42,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9744685Z [2022-11-23 01:25:42,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9745067Z [2022-11-23 01:25:42,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9745502Z [2022-11-23 01:25:42,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9745801Z [2022-11-23 01:25:42,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9746047Z [2022-11-23 01:25:42,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9746429Z [2022-11-23 01:25:42,634] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9746673Z [2022-11-23 01:25:42,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9746893Z [2022-11-23 01:25:42,634] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9747149Z [2022-11-23 01:25:42,636] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9747400Z [2022-11-23 01:25:42,645] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9747587Z [2022-11-23 01:25:42,645] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9747721Z __compiled_fn_297 .2584 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9747811Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9747900Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.9748079Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:35.9748280Z call_function, log_softmax, , (add, -1), {} 2022-11-23T01:30:35.9748427Z call_function, log_softmax_1, , (ex_0_, 0), {} 2022-11-23T01:30:35.9748574Z call_function, log_softmax_2, , (ex_1_, 1), {} 2022-11-23T01:30:35.9748739Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {} 2022-11-23T01:30:35.9748745Z 2022-11-23T01:30:35.9749073Z [2022-11-23 01:25:42,645] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9749167Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9749258Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9749345Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9749440Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9749513Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9749602Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9749681Z 12 RETURN_VALUE 2022-11-23T01:30:35.9749686Z 2022-11-23T01:30:35.9749745Z 2022-11-23T01:30:35.9750098Z [2022-11-23 01:25:42,645] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9750209Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_297) 2022-11-23T01:30:35.9750301Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9750378Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9750456Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9750544Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9750632Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9750712Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.9750803Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.9750907Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9751008Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9751083Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9751164Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.9751266Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9751357Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9751434Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.9751533Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9751621Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:35.9751684Z 34 BINARY_SUBSCR 2022-11-23T01:30:35.9751771Z 36 BUILD_TUPLE 3 2022-11-23T01:30:35.9751846Z 38 RETURN_VALUE 2022-11-23T01:30:35.9751850Z 2022-11-23T01:30:35.9751911Z 2022-11-23T01:30:35.9752095Z [2022-11-23 01:25:42,646] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9752165Z - 2022-11-23T01:30:35.9752284Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9752335Z { 2022-11-23T01:30:35.9752475Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9752666Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.9752785Z 'obj_weakref': None 2022-11-23T01:30:35.9753012Z 'guarded_class': 2022-11-23T01:30:35.9753079Z } 2022-11-23T01:30:35.9753144Z 2022-11-23T01:30:35.9753199Z - 2022-11-23T01:30:35.9753325Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9753392Z { 2022-11-23T01:30:35.9753535Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9753648Z 'code': None, 2022-11-23T01:30:35.9753859Z 'obj_weakref': 2022-11-23T01:30:35.9754111Z 'guarded_class': 2022-11-23T01:30:35.9754163Z } 2022-11-23T01:30:35.9754227Z 2022-11-23T01:30:35.9754299Z - 2022-11-23T01:30:35.9754423Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.9754487Z { 2022-11-23T01:30:35.9754627Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9754771Z 'code': None, 2022-11-23T01:30:35.9754970Z 'obj_weakref': 2022-11-23T01:30:35.9755224Z 'guarded_class': 2022-11-23T01:30:35.9755292Z } 2022-11-23T01:30:35.9755363Z 2022-11-23T01:30:35.9755433Z - 2022-11-23T01:30:35.9755562Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9755626Z { 2022-11-23T01:30:35.9755746Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9755917Z 'code': ['___check_obj_id(model, 140534620798784)'], 2022-11-23T01:30:35.9756037Z 'obj_weakref': None 2022-11-23T01:30:35.9756269Z 'guarded_class': 2022-11-23T01:30:35.9756362Z } 2022-11-23T01:30:35.9756425Z 2022-11-23T01:30:35.9756496Z - 2022-11-23T01:30:35.9756605Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9756671Z { 2022-11-23T01:30:35.9756808Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9757027Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9757147Z 'obj_weakref': None 2022-11-23T01:30:35.9757370Z 'guarded_class': 2022-11-23T01:30:35.9757435Z } 2022-11-23T01:30:35.9757485Z 2022-11-23T01:30:35.9757555Z - 2022-11-23T01:30:35.9757680Z global 'F' FUNCTION_MATCH 2022-11-23T01:30:35.9757745Z { 2022-11-23T01:30:35.9757865Z 'guard_types': None, 2022-11-23T01:30:35.9757976Z 'code': None, 2022-11-23T01:30:35.9758094Z 'obj_weakref': None 2022-11-23T01:30:35.9758201Z 'guarded_class': None 2022-11-23T01:30:35.9758270Z } 2022-11-23T01:30:35.9758333Z 2022-11-23T01:30:35.9758596Z [2022-11-23 01:25:42,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290 2022-11-23T01:30:35.9758601Z 2022-11-23T01:30:35.9758697Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9758766Z import torch 2022-11-23T01:30:35.9758837Z import random 2022-11-23T01:30:35.9758940Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9759063Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9759068Z 2022-11-23T01:30:35.9759148Z aten = torch.ops.aten 2022-11-23T01:30:35.9759282Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9759377Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9759381Z 2022-11-23T01:30:35.9759388Z 2022-11-23T01:30:35.9759523Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9759728Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9759850Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9759941Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9760127Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.9760230Z float* __restrict__ out_ptr1, 2022-11-23T01:30:35.9760325Z float* __restrict__ out_ptr2, 2022-11-23T01:30:35.9760420Z float* __restrict__ out_ptr3, 2022-11-23T01:30:35.9760513Z float* __restrict__ out_ptr4, 2022-11-23T01:30:35.9760605Z float* __restrict__ out_ptr5, 2022-11-23T01:30:35.9760683Z float* __restrict__ out_ptr6, 2022-11-23T01:30:35.9760775Z float* __restrict__ out_ptr7, 2022-11-23T01:30:35.9760869Z float* __restrict__ out_ptr8) 2022-11-23T01:30:35.9760932Z { 2022-11-23T01:30:35.9761032Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9761132Z { 2022-11-23T01:30:35.9761212Z #pragma omp for 2022-11-23T01:30:35.9761281Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9761346Z { 2022-11-23T01:30:35.9761411Z { 2022-11-23T01:30:35.9761797Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:35.9762033Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.9762156Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:35.9762248Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:35.9762316Z { 2022-11-23T01:30:35.9762445Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9762630Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9762727Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9762845Z tmp3_vec = at::vec::maximum(tmp3_vec, tmp2); 2022-11-23T01:30:35.9762910Z } 2022-11-23T01:30:35.9763123Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp3_vec); 2022-11-23T01:30:35.9763245Z #pragma omp simd simdlen(4) reduction(max:tmp3) 2022-11-23T01:30:35.9763334Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:35.9763398Z { 2022-11-23T01:30:35.9763484Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.9763579Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:35.9763672Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9763773Z tmp3 = std::max(tmp3, tmp2); 2022-11-23T01:30:35.9763837Z } 2022-11-23T01:30:35.9763922Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:35.9763986Z } 2022-11-23T01:30:35.9764037Z } 2022-11-23T01:30:35.9764115Z #pragma omp for 2022-11-23T01:30:35.9764197Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9764262Z { 2022-11-23T01:30:35.9764326Z { 2022-11-23T01:30:35.9764513Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.9764591Z float tmp6 = 0; 2022-11-23T01:30:35.9764698Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:35.9765181Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:35.9765394Z float tmp7 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.9765514Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:35.9765605Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:35.9765674Z { 2022-11-23T01:30:35.9765815Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9765954Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9766084Z auto tmp3 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:35.9766163Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9766300Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:35.9766390Z auto tmp5 = tmp4.exp(); 2022-11-23T01:30:35.9766476Z tmp6_vec += tmp5; 2022-11-23T01:30:35.9766593Z tmp7_vec = at::vec::maximum(tmp7_vec, tmp1); 2022-11-23T01:30:35.9766663Z } 2022-11-23T01:30:35.9766909Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:35.9767123Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp7_vec); 2022-11-23T01:30:35.9767264Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(max:tmp7) 2022-11-23T01:30:35.9767339Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:35.9767403Z { 2022-11-23T01:30:35.9767501Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.9767598Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:35.9767689Z auto tmp3 = out_ptr0[i0]; 2022-11-23T01:30:35.9767780Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9767917Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:35.9768037Z auto tmp5 = std::exp(tmp4); 2022-11-23T01:30:35.9768116Z tmp6 += tmp5; 2022-11-23T01:30:35.9768217Z tmp7 = std::max(tmp7, tmp1); 2022-11-23T01:30:35.9768282Z } 2022-11-23T01:30:35.9768365Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:35.9768452Z out_ptr2[i0] = tmp7; 2022-11-23T01:30:35.9768517Z } 2022-11-23T01:30:35.9768567Z } 2022-11-23T01:30:35.9768645Z #pragma omp for 2022-11-23T01:30:35.9768728Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9768792Z { 2022-11-23T01:30:35.9768856Z { 2022-11-23T01:30:35.9768919Z { 2022-11-23T01:30:35.9769130Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.9769208Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.9769277Z { 2022-11-23T01:30:35.9769347Z { 2022-11-23T01:30:35.9769451Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:35.9769555Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:30:35.9769625Z } 2022-11-23T01:30:35.9769693Z } 2022-11-23T01:30:35.9769765Z out_ptr3[i0] = tmp1; 2022-11-23T01:30:35.9769829Z } 2022-11-23T01:30:35.9769893Z } 2022-11-23T01:30:35.9769958Z } 2022-11-23T01:30:35.9770035Z #pragma omp for 2022-11-23T01:30:35.9770119Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9770167Z { 2022-11-23T01:30:35.9770230Z { 2022-11-23T01:30:35.9770294Z { 2022-11-23T01:30:35.9770378Z float tmp4 = 0; 2022-11-23T01:30:35.9770468Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.9770533Z { 2022-11-23T01:30:35.9770602Z { 2022-11-23T01:30:35.9770694Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:35.9770792Z auto tmp1 = out_ptr3[i0]; 2022-11-23T01:30:35.9770939Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9771041Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:30:35.9771124Z tmp4 += tmp3; 2022-11-23T01:30:35.9771191Z } 2022-11-23T01:30:35.9771257Z } 2022-11-23T01:30:35.9771327Z out_ptr4[i0] = tmp4; 2022-11-23T01:30:35.9771392Z } 2022-11-23T01:30:35.9771456Z } 2022-11-23T01:30:35.9771519Z } 2022-11-23T01:30:35.9771596Z #pragma omp for 2022-11-23T01:30:35.9771675Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9771737Z { 2022-11-23T01:30:35.9771788Z { 2022-11-23T01:30:35.9771975Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.9772057Z float tmp4 = 0; 2022-11-23T01:30:35.9772180Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:30:35.9772299Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:35.9772369Z { 2022-11-23T01:30:35.9772509Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9772637Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:30:35.9772759Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9772850Z auto tmp3 = tmp2.exp(); 2022-11-23T01:30:35.9772933Z tmp4_vec += tmp3; 2022-11-23T01:30:35.9772998Z } 2022-11-23T01:30:35.9773194Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:30:35.9773315Z #pragma omp simd simdlen(4) reduction(+:tmp4) 2022-11-23T01:30:35.9773433Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:35.9773497Z { 2022-11-23T01:30:35.9773584Z auto tmp0 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:35.9773676Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:30:35.9773811Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9773908Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:30:35.9773986Z tmp4 += tmp3; 2022-11-23T01:30:35.9774051Z } 2022-11-23T01:30:35.9774137Z out_ptr5[i0] = tmp4; 2022-11-23T01:30:35.9774188Z } 2022-11-23T01:30:35.9774250Z } 2022-11-23T01:30:35.9774327Z #pragma omp for 2022-11-23T01:30:35.9774407Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9774471Z { 2022-11-23T01:30:35.9774553Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:35.9774603Z { 2022-11-23T01:30:35.9774740Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9774880Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9775009Z auto tmp3 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:35.9775129Z auto tmp5 = at::vec::Vectorized(out_ptr1[i0]); 2022-11-23T01:30:35.9775260Z auto tmp8 = at::vec::Vectorized::loadu(out_ptr3 + 8*i1); 2022-11-23T01:30:35.9775394Z auto tmp10 = at::vec::Vectorized::loadu(out_ptr4 + 8*i1); 2022-11-23T01:30:35.9775519Z auto tmp13 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:30:35.9775642Z auto tmp15 = at::vec::Vectorized(out_ptr5[i0]); 2022-11-23T01:30:35.9775717Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9775848Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:35.9775934Z auto tmp6 = tmp5.log(); 2022-11-23T01:30:35.9776065Z auto tmp7 = tmp4 - tmp6; 2022-11-23T01:30:35.9776196Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:30:35.9776285Z auto tmp11 = tmp10.log(); 2022-11-23T01:30:35.9776419Z auto tmp12 = tmp9 - tmp11; 2022-11-23T01:30:35.9776536Z auto tmp14 = tmp1 - tmp13; 2022-11-23T01:30:35.9776625Z auto tmp16 = tmp15.log(); 2022-11-23T01:30:35.9776759Z auto tmp17 = tmp14 - tmp16; 2022-11-23T01:30:35.9776861Z tmp7.store(out_ptr6 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9776963Z tmp12.store(out_ptr7 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9777064Z tmp17.store(out_ptr8 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9777128Z } 2022-11-23T01:30:35.9777206Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.9777288Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:35.9777351Z { 2022-11-23T01:30:35.9777446Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.9777543Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:35.9777632Z auto tmp3 = out_ptr0[i0]; 2022-11-23T01:30:35.9777745Z auto tmp5 = out_ptr1[i0]; 2022-11-23T01:30:35.9777820Z auto tmp8 = out_ptr3[i1]; 2022-11-23T01:30:35.9777909Z auto tmp10 = out_ptr4[i1]; 2022-11-23T01:30:35.9777997Z auto tmp13 = out_ptr2[i0]; 2022-11-23T01:30:35.9778084Z auto tmp15 = out_ptr5[i0]; 2022-11-23T01:30:35.9778171Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:35.9778303Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:35.9778396Z auto tmp6 = std::log(tmp5); 2022-11-23T01:30:35.9778522Z auto tmp7 = tmp4 - tmp6; 2022-11-23T01:30:35.9778633Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:30:35.9778728Z auto tmp11 = std::log(tmp10); 2022-11-23T01:30:35.9778860Z auto tmp12 = tmp9 - tmp11; 2022-11-23T01:30:35.9779019Z auto tmp14 = tmp1 - tmp13; 2022-11-23T01:30:35.9779113Z auto tmp16 = std::log(tmp15); 2022-11-23T01:30:35.9779249Z auto tmp17 = tmp14 - tmp16; 2022-11-23T01:30:35.9779337Z out_ptr6[i1 + (8*i0)] = tmp7; 2022-11-23T01:30:35.9779413Z out_ptr7[i1 + (8*i0)] = tmp12; 2022-11-23T01:30:35.9779503Z out_ptr8[i1 + (8*i0)] = tmp17; 2022-11-23T01:30:35.9779567Z } 2022-11-23T01:30:35.9779630Z } 2022-11-23T01:30:35.9779693Z } 2022-11-23T01:30:35.9779753Z } 2022-11-23T01:30:35.9779817Z ''') 2022-11-23T01:30:35.9779837Z 2022-11-23T01:30:35.9779841Z 2022-11-23T01:30:35.9779920Z async_compile.wait(globals()) 2022-11-23T01:30:35.9779993Z del async_compile 2022-11-23T01:30:35.9779998Z 2022-11-23T01:30:35.9780068Z def call(args): 2022-11-23T01:30:35.9780144Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9780217Z args.clear() 2022-11-23T01:30:35.9780412Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9780608Z buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9780785Z buf4 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9780971Z buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9781154Z buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9781337Z buf5 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9781521Z buf6 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9781704Z buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9781887Z buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9782242Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:30:35.9782316Z del arg0_1 2022-11-23T01:30:35.9782369Z del arg1_1 2022-11-23T01:30:35.9782452Z return (buf6, buf7, buf8, ) 2022-11-23T01:30:35.9782457Z 2022-11-23T01:30:35.9782461Z 2022-11-23T01:30:35.9782539Z if __name__ == "__main__": 2022-11-23T01:30:35.9782656Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9782780Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9782974Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9783168Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9783283Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9783632Z [2022-11-23 01:25:44,262] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mcyfx4f2arfm42f4r77ld4v4e36rj2d6xom7wqiei53ipne2dr.py 2022-11-23T01:30:35.9783932Z [2022-11-23 01:25:44,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290 2022-11-23T01:30:35.9783937Z 2022-11-23T01:30:35.9784010Z ok (1.646s) 2022-11-23T01:30:35.9784319Z test_logsumexp_cpu (__main__.CpuTests) ... [2022-11-23 01:25:44,267] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9784633Z [2022-11-23 01:25:44,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9784852Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9785107Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9785383Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9785740Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9786088Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9786398Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9786773Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9786869Z 2701 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9786969Z 2 LOAD_METHOD 1 (logsumexp) 2022-11-23T01:30:35.9787066Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9787203Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:30:35.9787293Z 8 CALL_METHOD 2 2022-11-23T01:30:35.9787388Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9787473Z 12 LOAD_METHOD 1 (logsumexp) 2022-11-23T01:30:35.9787564Z 14 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9787655Z 16 LOAD_CONST 2 (0) 2022-11-23T01:30:35.9787742Z 18 CALL_METHOD 2 2022-11-23T01:30:35.9787830Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:35.9787912Z 22 BINARY_SUBTRACT 2022-11-23T01:30:35.9788002Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.9788067Z 26 RETURN_VALUE 2022-11-23T01:30:35.9788128Z 2022-11-23T01:30:35.9788133Z 2022-11-23T01:30:35.9788450Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2701 2022-11-23T01:30:35.9788674Z [2022-11-23 01:25:44,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.9789048Z [2022-11-23 01:25:44,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable()] 2022-11-23T01:30:35.9789381Z [2022-11-23 01:25:44,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.9789742Z [2022-11-23 01:25:44,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9790141Z [2022-11-23 01:25:44,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9790425Z [2022-11-23 01:25:44,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.9790831Z [2022-11-23 01:25:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9791184Z [2022-11-23 01:25:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9791555Z [2022-11-23 01:25:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9791983Z [2022-11-23 01:25:44,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9792279Z [2022-11-23 01:25:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9792595Z [2022-11-23 01:25:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9792862Z [2022-11-23 01:25:44,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9793106Z [2022-11-23 01:25:44,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9793485Z [2022-11-23 01:25:44,279] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9793729Z [2022-11-23 01:25:44,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9793965Z [2022-11-23 01:25:44,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9794219Z [2022-11-23 01:25:44,280] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9794470Z [2022-11-23 01:25:44,289] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9794644Z [2022-11-23 01:25:44,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9794778Z __compiled_fn_298 .2590 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9794872Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9795121Z call_function, logsumexp, , (ex_0_, -1), {} 2022-11-23T01:30:35.9795369Z call_function, logsumexp_1, , (ex_0_, 0), {} 2022-11-23T01:30:35.9795555Z call_function, sub, , (logsumexp_1, 2), {} 2022-11-23T01:30:35.9795666Z output, output, output, ((logsumexp, sub),), {} 2022-11-23T01:30:35.9795672Z 2022-11-23T01:30:35.9796001Z [2022-11-23 01:25:44,290] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9796082Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9796173Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9796259Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9796353Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9796438Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9796524Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9796604Z 12 RETURN_VALUE 2022-11-23T01:30:35.9796609Z 2022-11-23T01:30:35.9796669Z 2022-11-23T01:30:35.9796980Z [2022-11-23 01:25:44,290] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9797125Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_298) 2022-11-23T01:30:35.9797218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9797307Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9797385Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9797473Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9797577Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9797664Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9797757Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9797834Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.9797934Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9798023Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9798099Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.9798216Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.9798279Z 26 RETURN_VALUE 2022-11-23T01:30:35.9798297Z 2022-11-23T01:30:35.9798344Z 2022-11-23T01:30:35.9798532Z [2022-11-23 01:25:44,291] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9798602Z - 2022-11-23T01:30:35.9798722Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9798787Z { 2022-11-23T01:30:35.9798928Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9799114Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9799221Z 'obj_weakref': None 2022-11-23T01:30:35.9799448Z 'guarded_class': 2022-11-23T01:30:35.9799513Z } 2022-11-23T01:30:35.9799576Z 2022-11-23T01:30:35.9799646Z - 2022-11-23T01:30:35.9799768Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9799822Z { 2022-11-23T01:30:35.9799963Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9800163Z 'code': None, 2022-11-23T01:30:35.9800381Z 'obj_weakref': 2022-11-23T01:30:35.9800638Z 'guarded_class': 2022-11-23T01:30:35.9800705Z } 2022-11-23T01:30:35.9800769Z 2022-11-23T01:30:35.9800839Z - 2022-11-23T01:30:35.9800956Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9801022Z { 2022-11-23T01:30:35.9801159Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9801329Z 'code': ['___check_obj_id(model, 140534626156896)'], 2022-11-23T01:30:35.9801451Z 'obj_weakref': None 2022-11-23T01:30:35.9801675Z 'guarded_class': 2022-11-23T01:30:35.9801749Z } 2022-11-23T01:30:35.9801813Z 2022-11-23T01:30:35.9801881Z - 2022-11-23T01:30:35.9802004Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9802056Z { 2022-11-23T01:30:35.9802193Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9802407Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9802526Z 'obj_weakref': None 2022-11-23T01:30:35.9802747Z 'guarded_class': 2022-11-23T01:30:35.9802809Z } 2022-11-23T01:30:35.9802872Z 2022-11-23T01:30:35.9802927Z - 2022-11-23T01:30:35.9803057Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9803120Z { 2022-11-23T01:30:35.9803239Z 'guard_types': None, 2022-11-23T01:30:35.9803346Z 'code': None, 2022-11-23T01:30:35.9803460Z 'obj_weakref': None 2022-11-23T01:30:35.9803583Z 'guarded_class': None 2022-11-23T01:30:35.9803633Z } 2022-11-23T01:30:35.9803695Z 2022-11-23T01:30:35.9803996Z [2022-11-23 01:25:44,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291 2022-11-23T01:30:35.9804364Z [2022-11-23 01:25:45,852] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/du/cdus3dw6zilgj7i3iui2ijh4lwe62fzuhmcck5fb5mdky5xomrog.py 2022-11-23T01:30:35.9804627Z [2022-11-23 01:25:45,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291 2022-11-23T01:30:35.9804633Z 2022-11-23T01:30:35.9804728Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9804900Z import torch 2022-11-23T01:30:35.9804971Z import random 2022-11-23T01:30:35.9805072Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9805192Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9805197Z 2022-11-23T01:30:35.9805335Z aten = torch.ops.aten 2022-11-23T01:30:35.9805470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9805561Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9805569Z 2022-11-23T01:30:35.9805574Z 2022-11-23T01:30:35.9805709Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9805912Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9806031Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.9806119Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:35.9806224Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9806321Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.9806418Z float* __restrict__ out_ptr2) 2022-11-23T01:30:35.9806479Z { 2022-11-23T01:30:35.9806566Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:35.9806647Z auto out_ptr3 = in_out_ptr1; 2022-11-23T01:30:35.9806735Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9806797Z { 2022-11-23T01:30:35.9806873Z #pragma omp for 2022-11-23T01:30:35.9806957Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9807021Z { 2022-11-23T01:30:35.9807085Z { 2022-11-23T01:30:35.9807463Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:35.9807680Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.9807790Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:35.9807877Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:35.9807942Z { 2022-11-23T01:30:35.9808083Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9808201Z tmp1_vec = at::vec::maximum(tmp1_vec, tmp0); 2022-11-23T01:30:35.9808270Z } 2022-11-23T01:30:35.9808484Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp1_vec); 2022-11-23T01:30:35.9808604Z #pragma omp simd simdlen(4) reduction(max:tmp1) 2022-11-23T01:30:35.9808680Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:35.9808745Z { 2022-11-23T01:30:35.9808843Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.9808943Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:30:35.9809007Z } 2022-11-23T01:30:35.9809089Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:35.9809152Z } 2022-11-23T01:30:35.9809203Z } 2022-11-23T01:30:35.9809279Z #pragma omp for 2022-11-23T01:30:35.9809360Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9809422Z { 2022-11-23T01:30:35.9809487Z { 2022-11-23T01:30:35.9809673Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:35.9809789Z float tmp4 = 0; 2022-11-23T01:30:35.9809898Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:30:35.9809986Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:35.9810049Z { 2022-11-23T01:30:35.9810189Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:35.9810316Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:35.9810453Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9810543Z auto tmp3 = tmp2.exp(); 2022-11-23T01:30:35.9810625Z tmp4_vec += tmp3; 2022-11-23T01:30:35.9810679Z } 2022-11-23T01:30:35.9810873Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:30:35.9811048Z #pragma omp simd simdlen(4) reduction(+:tmp4) 2022-11-23T01:30:35.9811139Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:35.9811202Z { 2022-11-23T01:30:35.9811300Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:35.9811390Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:30:35.9811524Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9811609Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:30:35.9811684Z tmp4 += tmp3; 2022-11-23T01:30:35.9811748Z } 2022-11-23T01:30:35.9811831Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:35.9811893Z } 2022-11-23T01:30:35.9811956Z } 2022-11-23T01:30:35.9812031Z #pragma omp for 2022-11-23T01:30:35.9812099Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9812161Z { 2022-11-23T01:30:35.9812227Z { 2022-11-23T01:30:35.9812292Z { 2022-11-23T01:30:35.9812504Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:30:35.9812599Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.9812654Z { 2022-11-23T01:30:35.9812723Z { 2022-11-23T01:30:35.9812826Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:35.9812932Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:30:35.9813001Z } 2022-11-23T01:30:35.9813068Z } 2022-11-23T01:30:35.9813151Z out_ptr2[i0] = tmp1; 2022-11-23T01:30:35.9813203Z } 2022-11-23T01:30:35.9813266Z } 2022-11-23T01:30:35.9813328Z } 2022-11-23T01:30:35.9813403Z #pragma omp for 2022-11-23T01:30:35.9813485Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9813547Z { 2022-11-23T01:30:35.9813616Z { 2022-11-23T01:30:35.9813666Z { 2022-11-23T01:30:35.9813746Z float tmp4 = 0; 2022-11-23T01:30:35.9813839Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:35.9813908Z { 2022-11-23T01:30:35.9813976Z { 2022-11-23T01:30:35.9814078Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:35.9814174Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:30:35.9814306Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9814410Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:30:35.9814493Z tmp4 += tmp3; 2022-11-23T01:30:35.9814561Z } 2022-11-23T01:30:35.9814627Z } 2022-11-23T01:30:35.9814710Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:35.9814775Z } 2022-11-23T01:30:35.9814826Z } 2022-11-23T01:30:35.9814891Z } 2022-11-23T01:30:35.9814966Z #pragma omp for 2022-11-23T01:30:35.9815051Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9815112Z { 2022-11-23T01:30:35.9815215Z { 2022-11-23T01:30:35.9815281Z { 2022-11-23T01:30:35.9815359Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:35.9815450Z auto tmp2 = out_ptr0[i0]; 2022-11-23T01:30:35.9815547Z auto tmp1 = std::log(tmp0); 2022-11-23T01:30:35.9815644Z auto tmp3 = std::abs(tmp2); 2022-11-23T01:30:35.9815769Z auto tmp4 = std::numeric_limits::infinity(); 2022-11-23T01:30:35.9815859Z auto tmp5 = tmp3 == tmp4; 2022-11-23T01:30:35.9815964Z auto tmp6 = static_cast(0.0); 2022-11-23T01:30:35.9816048Z auto tmp7 = tmp5 ? tmp6 : tmp2; 2022-11-23T01:30:35.9816139Z auto tmp8 = tmp1 + tmp7; 2022-11-23T01:30:35.9816227Z in_out_ptr0[i0] = tmp8; 2022-11-23T01:30:35.9816328Z } 2022-11-23T01:30:35.9816391Z } 2022-11-23T01:30:35.9816454Z } 2022-11-23T01:30:35.9816532Z #pragma omp for 2022-11-23T01:30:35.9816602Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:35.9816663Z { 2022-11-23T01:30:35.9816727Z { 2022-11-23T01:30:35.9816792Z { 2022-11-23T01:30:35.9816882Z auto tmp0 = out_ptr3[i0]; 2022-11-23T01:30:35.9816974Z auto tmp2 = out_ptr2[i0]; 2022-11-23T01:30:35.9817068Z auto tmp1 = std::log(tmp0); 2022-11-23T01:30:35.9817151Z auto tmp3 = std::abs(tmp2); 2022-11-23T01:30:35.9817274Z auto tmp4 = std::numeric_limits::infinity(); 2022-11-23T01:30:35.9817365Z auto tmp5 = tmp3 == tmp4; 2022-11-23T01:30:35.9817470Z auto tmp6 = static_cast(0.0); 2022-11-23T01:30:35.9817567Z auto tmp7 = tmp5 ? tmp6 : tmp2; 2022-11-23T01:30:35.9817658Z auto tmp8 = tmp1 + tmp7; 2022-11-23T01:30:35.9817759Z auto tmp9 = static_cast(2); 2022-11-23T01:30:35.9817886Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:30:35.9817974Z in_out_ptr1[i0] = tmp10; 2022-11-23T01:30:35.9818040Z } 2022-11-23T01:30:35.9818104Z } 2022-11-23T01:30:35.9818165Z } 2022-11-23T01:30:35.9818227Z } 2022-11-23T01:30:35.9818287Z } 2022-11-23T01:30:35.9818350Z ''') 2022-11-23T01:30:35.9818357Z 2022-11-23T01:30:35.9818361Z 2022-11-23T01:30:35.9818451Z async_compile.wait(globals()) 2022-11-23T01:30:35.9818523Z del async_compile 2022-11-23T01:30:35.9818527Z 2022-11-23T01:30:35.9818598Z def call(args): 2022-11-23T01:30:35.9818676Z arg0_1, = args 2022-11-23T01:30:35.9818778Z args.clear() 2022-11-23T01:30:35.9819059Z buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9819243Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9819435Z buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9819623Z buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9819709Z buf4 = buf1; del buf1 # reuse 2022-11-23T01:30:35.9819795Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:30:35.9820009Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:35.9820078Z del arg0_1 2022-11-23T01:30:35.9820158Z return (buf4, buf5, ) 2022-11-23T01:30:35.9820163Z 2022-11-23T01:30:35.9820167Z 2022-11-23T01:30:35.9820233Z if __name__ == "__main__": 2022-11-23T01:30:35.9820346Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9820469Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9820664Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9820774Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.9820778Z 2022-11-23T01:30:35.9820881Z ok (1.590s) 2022-11-23T01:30:35.9821196Z test_long_tensor_cpu (__main__.CpuTests) ... [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9821514Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9821732Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9821973Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9822251Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9822598Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9822948Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9823269Z [2022-11-23 01:25:45,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9823645Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9823743Z 3109 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9823848Z 2 LOAD_METHOD 1 (LongTensor) 2022-11-23T01:30:35.9823937Z 4 LOAD_CONST 1 (294) 2022-11-23T01:30:35.9824014Z 6 BUILD_LIST 1 2022-11-23T01:30:35.9824101Z 8 CALL_METHOD 1 2022-11-23T01:30:35.9824191Z 10 LOAD_METHOD 2 (to) 2022-11-23T01:30:35.9824283Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:35.9824375Z 14 LOAD_ATTR 3 (device) 2022-11-23T01:30:35.9824460Z 16 CALL_METHOD 1 2022-11-23T01:30:35.9824547Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:35.9824616Z 20 BINARY_SUBTRACT 2022-11-23T01:30:35.9824633Z 2022-11-23T01:30:35.9824713Z 3110 22 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:35.9824808Z 24 LOAD_METHOD 4 (as_tensor) 2022-11-23T01:30:35.9824895Z 26 LOAD_CONST 2 (295) 2022-11-23T01:30:35.9824980Z 28 BUILD_LIST 1 2022-11-23T01:30:35.9825065Z 30 CALL_METHOD 1 2022-11-23T01:30:35.9825155Z 32 LOAD_METHOD 2 (to) 2022-11-23T01:30:35.9825244Z 34 LOAD_FAST 0 (a) 2022-11-23T01:30:35.9825323Z 36 LOAD_ATTR 3 (device) 2022-11-23T01:30:35.9825410Z 38 CALL_METHOD 1 2022-11-23T01:30:35.9825497Z 40 LOAD_FAST 0 (a) 2022-11-23T01:30:35.9825570Z 42 BINARY_ADD 2022-11-23T01:30:35.9825574Z 2022-11-23T01:30:35.9825660Z 3108 44 BUILD_TUPLE 2 2022-11-23T01:30:35.9825740Z 46 RETURN_VALUE 2022-11-23T01:30:35.9825799Z 2022-11-23T01:30:35.9825805Z 2022-11-23T01:30:35.9826120Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3109 2022-11-23T01:30:35.9826325Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:35.9826704Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable()] 2022-11-23T01:30:35.9827013Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable()] 2022-11-23T01:30:35.9827327Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9827633Z [2022-11-23 01:25:45,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ListVariable()] 2022-11-23T01:30:35.9827870Z [2022-11-23 01:25:45,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()] 2022-11-23T01:30:35.9828138Z [2022-11-23 01:25:45,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:30:35.9828442Z [2022-11-23 01:25:45,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()] 2022-11-23T01:30:35.9828777Z [2022-11-23 01:25:45,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)] 2022-11-23T01:30:35.9829009Z [2022-11-23 01:25:45,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:35.9829275Z [2022-11-23 01:25:45,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9829583Z [2022-11-23 01:25:45,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3110 2022-11-23T01:30:35.9829827Z [2022-11-23 01:25:45,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:35.9830230Z [2022-11-23 01:25:45,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9830591Z [2022-11-23 01:25:45,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9830985Z [2022-11-23 01:25:45,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9831371Z [2022-11-23 01:25:45,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:30:35.9831634Z [2022-11-23 01:25:45,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9831932Z [2022-11-23 01:25:45,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:30:35.9832268Z [2022-11-23 01:25:45,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()] 2022-11-23T01:30:35.9832602Z [2022-11-23 01:25:45,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)] 2022-11-23T01:30:35.9832861Z [2022-11-23 01:25:45,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9833148Z [2022-11-23 01:25:45,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9833460Z [2022-11-23 01:25:45,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3108 2022-11-23T01:30:35.9833725Z [2022-11-23 01:25:45,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9834000Z [2022-11-23 01:25:45,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9834380Z [2022-11-23 01:25:45,865] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9834623Z [2022-11-23 01:25:45,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9834854Z [2022-11-23 01:25:45,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9835106Z [2022-11-23 01:25:45,866] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9835355Z [2022-11-23 01:25:45,870] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9835569Z [2022-11-23 01:25:45,871] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9835692Z __compiled_fn_299 .2596 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9835781Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9835971Z call_function, long_tensor, , ([294],), {} 2022-11-23T01:30:35.9836139Z call_method, to, to, (long_tensor, device(type='cpu')), {} 2022-11-23T01:30:35.9836309Z call_function, sub, , (to, ex_0_), {} 2022-11-23T01:30:35.9836551Z call_function, as_tensor, , ([295],), {} 2022-11-23T01:30:35.9836718Z call_method, to_1, to, (as_tensor, device(type='cpu')), {} 2022-11-23T01:30:35.9836879Z call_function, add, , (to_1, ex_0_), {} 2022-11-23T01:30:35.9836977Z output, output, output, ((sub, add),), {} 2022-11-23T01:30:35.9836983Z 2022-11-23T01:30:35.9837306Z [2022-11-23 01:25:45,871] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9837403Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9837496Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9837581Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9837671Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9837755Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9837830Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9837908Z 12 RETURN_VALUE 2022-11-23T01:30:35.9837913Z 2022-11-23T01:30:35.9837973Z 2022-11-23T01:30:35.9838297Z [2022-11-23 01:25:45,871] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9838403Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_299) 2022-11-23T01:30:35.9838491Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9838582Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9838660Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9838736Z 8 CALL_FUNCTION 1 2022-11-23T01:30:35.9838839Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9838940Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9839028Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9839105Z 16 BINARY_SUBSCR 2022-11-23T01:30:35.9839203Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9839288Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9839350Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.9839437Z 24 BUILD_TUPLE 2 2022-11-23T01:30:35.9839510Z 26 RETURN_VALUE 2022-11-23T01:30:35.9839515Z 2022-11-23T01:30:35.9839576Z 2022-11-23T01:30:35.9839759Z [2022-11-23 01:25:45,872] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9839830Z - 2022-11-23T01:30:35.9839948Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9840073Z { 2022-11-23T01:30:35.9840253Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9840442Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:35.9840563Z 'obj_weakref': None 2022-11-23T01:30:35.9840789Z 'guarded_class': 2022-11-23T01:30:35.9840854Z } 2022-11-23T01:30:35.9840917Z 2022-11-23T01:30:35.9840973Z - 2022-11-23T01:30:35.9841095Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:35.9841158Z { 2022-11-23T01:30:35.9841296Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:35.9841464Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:35.9841679Z 'obj_weakref': 2022-11-23T01:30:35.9841963Z 'guarded_class': 2022-11-23T01:30:35.9842026Z } 2022-11-23T01:30:35.9842079Z 2022-11-23T01:30:35.9842148Z - 2022-11-23T01:30:35.9842273Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9842336Z { 2022-11-23T01:30:35.9842477Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9842583Z 'code': None, 2022-11-23T01:30:35.9842781Z 'obj_weakref': 2022-11-23T01:30:35.9843030Z 'guarded_class': 2022-11-23T01:30:35.9843095Z } 2022-11-23T01:30:35.9843158Z 2022-11-23T01:30:35.9843226Z - 2022-11-23T01:30:35.9843353Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9843416Z { 2022-11-23T01:30:35.9843538Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9843706Z 'code': ['___check_obj_id(model, 140534623221312)'], 2022-11-23T01:30:35.9843833Z 'obj_weakref': None 2022-11-23T01:30:35.9844064Z 'guarded_class': 2022-11-23T01:30:35.9844128Z } 2022-11-23T01:30:35.9844191Z 2022-11-23T01:30:35.9844257Z - 2022-11-23T01:30:35.9844368Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9844430Z { 2022-11-23T01:30:35.9844566Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9844874Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9844998Z 'obj_weakref': None 2022-11-23T01:30:35.9845219Z 'guarded_class': 2022-11-23T01:30:35.9845284Z } 2022-11-23T01:30:35.9845335Z 2022-11-23T01:30:35.9845403Z - 2022-11-23T01:30:35.9845536Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9845600Z { 2022-11-23T01:30:35.9845721Z 'guard_types': None, 2022-11-23T01:30:35.9845827Z 'code': None, 2022-11-23T01:30:35.9845943Z 'obj_weakref': None 2022-11-23T01:30:35.9846051Z 'guarded_class': None 2022-11-23T01:30:35.9846115Z } 2022-11-23T01:30:35.9846180Z 2022-11-23T01:30:35.9846440Z [2022-11-23 01:25:45,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292 2022-11-23T01:30:35.9846803Z [2022-11-23 01:25:47,314] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chd4w2g7w5wurpsbxnxmggpobp4auyioytgut464bhrd75x26oqo.py 2022-11-23T01:30:35.9847063Z [2022-11-23 01:25:47,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292 2022-11-23T01:30:35.9847072Z 2022-11-23T01:30:35.9847166Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9847234Z import torch 2022-11-23T01:30:35.9847291Z import random 2022-11-23T01:30:35.9847454Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9847578Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9847583Z 2022-11-23T01:30:35.9847663Z aten = torch.ops.aten 2022-11-23T01:30:35.9847796Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9847889Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9847893Z 2022-11-23T01:30:35.9847898Z 2022-11-23T01:30:35.9848029Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9848235Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9848339Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.9848439Z long* __restrict__ out_ptr0, 2022-11-23T01:30:35.9848532Z long* __restrict__ out_ptr1) 2022-11-23T01:30:35.9848642Z { 2022-11-23T01:30:35.9848740Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9848802Z { 2022-11-23T01:30:35.9848881Z #pragma omp for 2022-11-23T01:30:35.9848952Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:35.9849014Z { 2022-11-23T01:30:35.9849076Z { 2022-11-23T01:30:35.9849140Z { 2022-11-23T01:30:35.9849231Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:30:35.9849333Z auto tmp0 = static_cast(294); 2022-11-23T01:30:35.9849468Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:35.9849559Z auto tmp3 = static_cast(295); 2022-11-23T01:30:35.9849649Z auto tmp4 = tmp3 + tmp1; 2022-11-23T01:30:35.9849733Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.9849816Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:35.9849881Z } 2022-11-23T01:30:35.9849948Z } 2022-11-23T01:30:35.9850010Z } 2022-11-23T01:30:35.9850059Z } 2022-11-23T01:30:35.9850118Z } 2022-11-23T01:30:35.9850197Z ''') 2022-11-23T01:30:35.9850202Z 2022-11-23T01:30:35.9850208Z 2022-11-23T01:30:35.9850297Z async_compile.wait(globals()) 2022-11-23T01:30:35.9850369Z del async_compile 2022-11-23T01:30:35.9850373Z 2022-11-23T01:30:35.9850443Z def call(args): 2022-11-23T01:30:35.9850513Z arg0_1, = args 2022-11-23T01:30:35.9850571Z args.clear() 2022-11-23T01:30:35.9850764Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.9850953Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.9851116Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.9851186Z del arg0_1 2022-11-23T01:30:35.9851264Z return (buf0, buf1, ) 2022-11-23T01:30:35.9851268Z 2022-11-23T01:30:35.9851272Z 2022-11-23T01:30:35.9851350Z if __name__ == "__main__": 2022-11-23T01:30:35.9851464Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9851571Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9851768Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.9851875Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:35.9851880Z 2022-11-23T01:30:35.9851947Z ok (1.462s) 2022-11-23T01:30:35.9852267Z test_lowmem_dropout1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:47,320] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9852586Z [2022-11-23 01:25:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158 2022-11-23T01:30:35.9852801Z [2022-11-23 01:25:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:30:35.9853213Z [2022-11-23 01:25:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:30:35.9853554Z [2022-11-23 01:25:47,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.9853875Z [2022-11-23 01:25:47,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9854241Z [2022-11-23 01:25:47,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9854557Z [2022-11-23 01:25:47,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9854923Z [2022-11-23 01:25:47,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9855362Z [2022-11-23 01:25:47,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:30:35.9855609Z [2022-11-23 01:25:47,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9855845Z [2022-11-23 01:25:47,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9856087Z [2022-11-23 01:25:47,324] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.9856324Z [2022-11-23 01:25:47,327] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.9856512Z [2022-11-23 01:25:47,327] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9856633Z __compiled_fn_300 .2602 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9856720Z placeholder, x, x, (), {} 2022-11-23T01:30:35.9856817Z placeholder, weight, weight, (), {} 2022-11-23T01:30:35.9856996Z call_function, mul, , (x, weight), {} 2022-11-23T01:30:35.9857157Z call_function, lowmem_dropout, , (mul, 0.33, False), {} 2022-11-23T01:30:35.9857269Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:30:35.9857274Z 2022-11-23T01:30:35.9857599Z [2022-11-23 01:25:47,327] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 2022-11-23T01:30:35.9857692Z 4158 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.9857777Z 2 LOAD_METHOD 1 (dropout) 2022-11-23T01:30:35.9857866Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9857959Z 6 LOAD_DEREF 0 (weight) 2022-11-23T01:30:35.9858042Z 8 BINARY_MULTIPLY 2022-11-23T01:30:35.9858134Z 10 LOAD_CONST 1 (0.33) 2022-11-23T01:30:35.9858224Z 12 LOAD_FAST 1 (train) 2022-11-23T01:30:35.9858313Z 14 CALL_METHOD 3 2022-11-23T01:30:35.9858388Z 16 RETURN_VALUE 2022-11-23T01:30:35.9858392Z 2022-11-23T01:30:35.9858440Z 2022-11-23T01:30:35.9858768Z [2022-11-23 01:25:47,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 2022-11-23T01:30:35.9858877Z 4156 0 LOAD_GLOBAL 2 (__compiled_fn_300) 2022-11-23T01:30:35.9858968Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9859062Z 4 LOAD_DEREF 0 (weight) 2022-11-23T01:30:35.9859152Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.9859244Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9859309Z 10 RETURN_VALUE 2022-11-23T01:30:35.9859330Z 2022-11-23T01:30:35.9859377Z 2022-11-23T01:30:35.9859558Z [2022-11-23 01:25:47,328] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9859629Z - 2022-11-23T01:30:35.9859780Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.9859847Z { 2022-11-23T01:30:35.9859988Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9860082Z 'code': None, 2022-11-23T01:30:35.9860296Z 'obj_weakref': 2022-11-23T01:30:35.9860549Z 'guarded_class': 2022-11-23T01:30:35.9860615Z } 2022-11-23T01:30:35.9860681Z 2022-11-23T01:30:35.9860750Z - 2022-11-23T01:30:35.9860879Z local 'train' CONSTANT_MATCH 2022-11-23T01:30:35.9860929Z { 2022-11-23T01:30:35.9861062Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9861258Z 'code': ['___check_obj_id(train, 94427249931968)'], 2022-11-23T01:30:35.9861379Z 'obj_weakref': None 2022-11-23T01:30:35.9861606Z 'guarded_class': 2022-11-23T01:30:35.9861669Z } 2022-11-23T01:30:35.9861732Z 2022-11-23T01:30:35.9861788Z - 2022-11-23T01:30:35.9861913Z local 'weight' TENSOR_MATCH 2022-11-23T01:30:35.9861977Z { 2022-11-23T01:30:35.9862120Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9862227Z 'code': None, 2022-11-23T01:30:35.9862437Z 'obj_weakref': 2022-11-23T01:30:35.9862691Z 'guarded_class': 2022-11-23T01:30:35.9862755Z } 2022-11-23T01:30:35.9862805Z 2022-11-23T01:30:35.9862875Z - 2022-11-23T01:30:35.9863005Z global 'F' FUNCTION_MATCH 2022-11-23T01:30:35.9863071Z { 2022-11-23T01:30:35.9863188Z 'guard_types': None, 2022-11-23T01:30:35.9863296Z 'code': None, 2022-11-23T01:30:35.9863400Z 'obj_weakref': None 2022-11-23T01:30:35.9863521Z 'guarded_class': None 2022-11-23T01:30:35.9863584Z } 2022-11-23T01:30:35.9863647Z 2022-11-23T01:30:35.9863903Z [2022-11-23 01:25:47,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293 2022-11-23T01:30:35.9864273Z [2022-11-23 01:25:48,801] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ib/cibhuhdmxr4aheehhlxlbvwo2mkhq62unhhz62lrdgukq4juzwjr.py 2022-11-23T01:30:35.9864535Z [2022-11-23 01:25:48,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293 2022-11-23T01:30:35.9864788Z [2022-11-23 01:25:48,803] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 293 2022-11-23T01:30:35.9865154Z [2022-11-23 01:25:48,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3b/c3byaxux4ht7bcnn25wzk24ahbxmo2bay76dw5ig4kmkoszuk77y.py 2022-11-23T01:30:35.9865408Z [2022-11-23 01:25:48,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 293 2022-11-23T01:30:35.9865646Z [2022-11-23 01:25:48,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9865955Z [2022-11-23 01:25:48,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158 2022-11-23T01:30:35.9866166Z [2022-11-23 01:25:48,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:30:35.9866573Z [2022-11-23 01:25:48,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:30:35.9866866Z [2022-11-23 01:25:48,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:35.9867225Z [2022-11-23 01:25:48,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9867592Z [2022-11-23 01:25:48,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9867909Z [2022-11-23 01:25:48,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9868271Z [2022-11-23 01:25:48,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9868671Z [2022-11-23 01:25:48,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:30:35.9868938Z [2022-11-23 01:25:48,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9869171Z [2022-11-23 01:25:48,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9869412Z [2022-11-23 01:25:48,820] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.9869649Z [2022-11-23 01:25:48,823] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.9869835Z [2022-11-23 01:25:48,824] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9869969Z __compiled_fn_301 .2613 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9870052Z placeholder, x, x, (), {} 2022-11-23T01:30:35.9870154Z placeholder, weight, weight, (), {} 2022-11-23T01:30:35.9870315Z call_function, mul, , (x, weight), {} 2022-11-23T01:30:35.9870475Z call_function, lowmem_dropout, , (mul, 0.33, True), {} 2022-11-23T01:30:35.9870586Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:30:35.9870592Z 2022-11-23T01:30:35.9870914Z [2022-11-23 01:25:48,824] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 2022-11-23T01:30:35.9871007Z 4158 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:30:35.9871105Z 2 LOAD_METHOD 1 (dropout) 2022-11-23T01:30:35.9871193Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9871286Z 6 LOAD_DEREF 0 (weight) 2022-11-23T01:30:35.9871355Z 8 BINARY_MULTIPLY 2022-11-23T01:30:35.9871445Z 10 LOAD_CONST 1 (0.33) 2022-11-23T01:30:35.9871539Z 12 LOAD_FAST 1 (train) 2022-11-23T01:30:35.9871625Z 14 CALL_METHOD 3 2022-11-23T01:30:35.9871703Z 16 RETURN_VALUE 2022-11-23T01:30:35.9871710Z 2022-11-23T01:30:35.9871769Z 2022-11-23T01:30:35.9872095Z [2022-11-23 01:25:48,824] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 2022-11-23T01:30:35.9872201Z 4156 0 LOAD_GLOBAL 2 (__compiled_fn_301) 2022-11-23T01:30:35.9872279Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9872373Z 4 LOAD_DEREF 0 (weight) 2022-11-23T01:30:35.9872460Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.9872549Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9872624Z 10 RETURN_VALUE 2022-11-23T01:30:35.9872628Z 2022-11-23T01:30:35.9872687Z 2022-11-23T01:30:35.9872867Z [2022-11-23 01:25:48,825] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9872926Z - 2022-11-23T01:30:35.9873045Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.9873111Z { 2022-11-23T01:30:35.9873282Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9873390Z 'code': None, 2022-11-23T01:30:35.9873608Z 'obj_weakref': 2022-11-23T01:30:35.9873861Z 'guarded_class': 2022-11-23T01:30:35.9873925Z } 2022-11-23T01:30:35.9873978Z 2022-11-23T01:30:35.9874046Z - 2022-11-23T01:30:35.9874175Z local 'train' CONSTANT_MATCH 2022-11-23T01:30:35.9874239Z { 2022-11-23T01:30:35.9874372Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9874536Z 'code': ['___check_obj_id(train, 94427249932000)'], 2022-11-23T01:30:35.9874642Z 'obj_weakref': None 2022-11-23T01:30:35.9874894Z 'guarded_class': 2022-11-23T01:30:35.9874958Z } 2022-11-23T01:30:35.9875023Z 2022-11-23T01:30:35.9875091Z - 2022-11-23T01:30:35.9875216Z local 'weight' TENSOR_MATCH 2022-11-23T01:30:35.9875279Z { 2022-11-23T01:30:35.9875407Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9875513Z 'code': None, 2022-11-23T01:30:35.9875721Z 'obj_weakref': 2022-11-23T01:30:35.9875966Z 'guarded_class': 2022-11-23T01:30:35.9876031Z } 2022-11-23T01:30:35.9876097Z 2022-11-23T01:30:35.9876164Z - 2022-11-23T01:30:35.9876276Z global 'F' FUNCTION_MATCH 2022-11-23T01:30:35.9876339Z { 2022-11-23T01:30:35.9876460Z 'guard_types': None, 2022-11-23T01:30:35.9876563Z 'code': None, 2022-11-23T01:30:35.9876678Z 'obj_weakref': None 2022-11-23T01:30:35.9876798Z 'guarded_class': None 2022-11-23T01:30:35.9876860Z } 2022-11-23T01:30:35.9876913Z 2022-11-23T01:30:35.9877171Z [2022-11-23 01:25:48,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294 2022-11-23T01:30:35.9877424Z [2022-11-23 01:25:48,858] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.9877795Z [2022-11-23 01:25:50,307] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pb/cpbojlk2aq7wxgypgipn5xqjxluiyxwrszdveljd4ozybnnhzekx.py 2022-11-23T01:30:35.9878056Z [2022-11-23 01:25:50,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294 2022-11-23T01:30:35.9878308Z [2022-11-23 01:25:50,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 294 2022-11-23T01:30:35.9878315Z 2022-11-23T01:30:35.9878408Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9878477Z import torch 2022-11-23T01:30:35.9878536Z import random 2022-11-23T01:30:35.9878651Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9878771Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9878776Z 2022-11-23T01:30:35.9878854Z aten = torch.ops.aten 2022-11-23T01:30:35.9878987Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9879078Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9879083Z 2022-11-23T01:30:35.9879087Z 2022-11-23T01:30:35.9879219Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9879422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9879538Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9879628Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9879728Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9879789Z { 2022-11-23T01:30:35.9879912Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9879975Z { 2022-11-23T01:30:35.9880129Z #pragma omp for 2022-11-23T01:30:35.9880199Z for(long i0=0; i0<12500; i0+=1) 2022-11-23T01:30:35.9880262Z { 2022-11-23T01:30:35.9880405Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.9880557Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.9880645Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.9880736Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.9880801Z } 2022-11-23T01:30:35.9880897Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.9880973Z for(long i0=100000; i0<100000; i0+=1) 2022-11-23T01:30:35.9881035Z { 2022-11-23T01:30:35.9881124Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.9881243Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.9881327Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.9881408Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.9881457Z } 2022-11-23T01:30:35.9881518Z } 2022-11-23T01:30:35.9881577Z } 2022-11-23T01:30:35.9881659Z ''') 2022-11-23T01:30:35.9881663Z 2022-11-23T01:30:35.9881667Z 2022-11-23T01:30:35.9881756Z async_compile.wait(globals()) 2022-11-23T01:30:35.9881829Z del async_compile 2022-11-23T01:30:35.9881833Z 2022-11-23T01:30:35.9881903Z def call(args): 2022-11-23T01:30:35.9881988Z primals_1, primals_2 = args 2022-11-23T01:30:35.9882046Z args.clear() 2022-11-23T01:30:35.9882245Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9882418Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9882491Z del primals_2 2022-11-23T01:30:35.9882575Z return (buf0, primals_1, ) 2022-11-23T01:30:35.9882582Z 2022-11-23T01:30:35.9882586Z 2022-11-23T01:30:35.9882661Z if __name__ == "__main__": 2022-11-23T01:30:35.9882776Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9882897Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9883091Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9883292Z primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9883419Z print_performance(lambda: call([primals_1, primals_2])) 2022-11-23T01:30:35.9883424Z 2022-11-23T01:30:35.9883428Z 2022-11-23T01:30:35.9883522Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9883591Z import torch 2022-11-23T01:30:35.9883661Z import random 2022-11-23T01:30:35.9883774Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9883880Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9883899Z 2022-11-23T01:30:35.9883966Z aten = torch.ops.aten 2022-11-23T01:30:35.9884098Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9884189Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9884196Z 2022-11-23T01:30:35.9884200Z 2022-11-23T01:30:35.9884334Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9884538Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9884656Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9884849Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9884950Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9884999Z { 2022-11-23T01:30:35.9885097Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9885158Z { 2022-11-23T01:30:35.9885235Z #pragma omp for 2022-11-23T01:30:35.9885317Z for(long i0=0; i0<12500; i0+=1) 2022-11-23T01:30:35.9885379Z { 2022-11-23T01:30:35.9885506Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:35.9885635Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:35.9885770Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.9885863Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:35.9885927Z } 2022-11-23T01:30:35.9886021Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:35.9886111Z for(long i0=100000; i0<100000; i0+=1) 2022-11-23T01:30:35.9886175Z { 2022-11-23T01:30:35.9886247Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.9886330Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.9886414Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:35.9886494Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:35.9886555Z } 2022-11-23T01:30:35.9886615Z } 2022-11-23T01:30:35.9886663Z } 2022-11-23T01:30:35.9886745Z ''') 2022-11-23T01:30:35.9886750Z 2022-11-23T01:30:35.9886754Z 2022-11-23T01:30:35.9886882Z async_compile.wait(globals()) 2022-11-23T01:30:35.9886958Z del async_compile 2022-11-23T01:30:35.9886962Z 2022-11-23T01:30:35.9887033Z def call(args): 2022-11-23T01:30:35.9887124Z primals_1, tangents_1 = args 2022-11-23T01:30:35.9887193Z args.clear() 2022-11-23T01:30:35.9887392Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9887554Z kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9887630Z del primals_1 2022-11-23T01:30:35.9887701Z del tangents_1 2022-11-23T01:30:35.9887777Z return (None, buf0, ) 2022-11-23T01:30:35.9887782Z 2022-11-23T01:30:35.9887786Z 2022-11-23T01:30:35.9887861Z if __name__ == "__main__": 2022-11-23T01:30:35.9887975Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9888096Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9888300Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9888496Z tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9888623Z print_performance(lambda: call([primals_1, tangents_1])) 2022-11-23T01:30:35.9888628Z 2022-11-23T01:30:35.9888632Z 2022-11-23T01:30:35.9888730Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9888799Z import torch 2022-11-23T01:30:35.9888868Z import random 2022-11-23T01:30:35.9888981Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9889101Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9889106Z 2022-11-23T01:30:35.9889182Z aten = torch.ops.aten 2022-11-23T01:30:35.9889302Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9889392Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9889550Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.9889555Z 2022-11-23T01:30:35.9889561Z 2022-11-23T01:30:35.9889692Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9889895Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9890010Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:35.9890115Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9890218Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.9890304Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9890364Z { 2022-11-23T01:30:35.9890459Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9890520Z { 2022-11-23T01:30:35.9890655Z #pragma omp for 2022-11-23T01:30:35.9890740Z for(long i0=0; i0<100000; i0+=1) 2022-11-23T01:30:35.9890790Z { 2022-11-23T01:30:35.9890853Z { 2022-11-23T01:30:35.9890917Z { 2022-11-23T01:30:35.9891004Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.9891098Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.9891190Z auto tmp7 = in_ptr2[i0]; 2022-11-23T01:30:35.9891291Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.9891447Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:35.9891554Z auto tmp3 = static_cast(0.33); 2022-11-23T01:30:35.9891644Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:30:35.9891748Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:35.9891840Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:30:35.9891928Z auto tmp9 = tmp5 * tmp8; 2022-11-23T01:30:35.9892041Z auto tmp10 = static_cast(1.492537313432836); 2022-11-23T01:30:35.9892134Z auto tmp11 = tmp9 * tmp10; 2022-11-23T01:30:35.9892206Z out_ptr0[i0] = tmp11; 2022-11-23T01:30:35.9892272Z } 2022-11-23T01:30:35.9892376Z } 2022-11-23T01:30:35.9892440Z } 2022-11-23T01:30:35.9892503Z } 2022-11-23T01:30:35.9892563Z } 2022-11-23T01:30:35.9892629Z ''') 2022-11-23T01:30:35.9892647Z 2022-11-23T01:30:35.9892653Z 2022-11-23T01:30:35.9892730Z async_compile.wait(globals()) 2022-11-23T01:30:35.9892803Z del async_compile 2022-11-23T01:30:35.9892808Z 2022-11-23T01:30:35.9892880Z def call(args): 2022-11-23T01:30:35.9892969Z primals_1, primals_2 = args 2022-11-23T01:30:35.9893044Z args.clear() 2022-11-23T01:30:35.9893176Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.9893375Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9893570Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9893646Z del primals_2 2022-11-23T01:30:35.9893759Z return (buf0, primals_1, seed_cpu_None.clone(), ) 2022-11-23T01:30:35.9893766Z 2022-11-23T01:30:35.9893770Z 2022-11-23T01:30:35.9893848Z if __name__ == "__main__": 2022-11-23T01:30:35.9893963Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9894086Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9894278Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.9894481Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9894667Z primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9894792Z print_performance(lambda: call([primals_1, primals_2])) 2022-11-23T01:30:35.9894796Z 2022-11-23T01:30:35.9895171Z [2022-11-23 01:25:51,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccnvvjcfforziinitmjelq6lm35yirsryxg6qgeyswtrlb2ogxtg.py 2022-11-23T01:30:35.9895442Z [2022-11-23 01:25:51,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 294 2022-11-23T01:30:35.9895450Z 2022-11-23T01:30:35.9895545Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9895620Z import torch 2022-11-23T01:30:35.9895693Z import random 2022-11-23T01:30:35.9895808Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9895928Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9895933Z 2022-11-23T01:30:35.9895998Z aten = torch.ops.aten 2022-11-23T01:30:35.9896133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9896228Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9896233Z 2022-11-23T01:30:35.9896237Z 2022-11-23T01:30:35.9896375Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9896579Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9896696Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:35.9896799Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9896906Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:35.9896992Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9897053Z { 2022-11-23T01:30:35.9897179Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9897241Z { 2022-11-23T01:30:35.9897319Z #pragma omp for 2022-11-23T01:30:35.9897404Z for(long i0=0; i0<100000; i0+=1) 2022-11-23T01:30:35.9897467Z { 2022-11-23T01:30:35.9897518Z { 2022-11-23T01:30:35.9897584Z { 2022-11-23T01:30:35.9897678Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:35.9897768Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:30:35.9897858Z auto tmp10 = in_ptr2[i0]; 2022-11-23T01:30:35.9897958Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:35.9898096Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:35.9898187Z auto tmp3 = static_cast(0.33); 2022-11-23T01:30:35.9898306Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:30:35.9898408Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:35.9898502Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:30:35.9898616Z auto tmp8 = static_cast(1.492537313432836); 2022-11-23T01:30:35.9898704Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:30:35.9898795Z auto tmp11 = tmp9 * tmp10; 2022-11-23T01:30:35.9898868Z out_ptr0[i0] = tmp11; 2022-11-23T01:30:35.9898933Z } 2022-11-23T01:30:35.9898998Z } 2022-11-23T01:30:35.9899062Z } 2022-11-23T01:30:35.9899126Z } 2022-11-23T01:30:35.9899186Z } 2022-11-23T01:30:35.9899251Z ''') 2022-11-23T01:30:35.9899267Z 2022-11-23T01:30:35.9899271Z 2022-11-23T01:30:35.9899347Z async_compile.wait(globals()) 2022-11-23T01:30:35.9899418Z del async_compile 2022-11-23T01:30:35.9899425Z 2022-11-23T01:30:35.9899497Z def call(args): 2022-11-23T01:30:35.9899608Z primals_1, philox_seed_like, tangents_1 = args 2022-11-23T01:30:35.9899679Z args.clear() 2022-11-23T01:30:35.9899880Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9900093Z kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9900172Z del philox_seed_like 2022-11-23T01:30:35.9900231Z del primals_1 2022-11-23T01:30:35.9900303Z del tangents_1 2022-11-23T01:30:35.9900381Z return (None, buf0, ) 2022-11-23T01:30:35.9900385Z 2022-11-23T01:30:35.9900389Z 2022-11-23T01:30:35.9900463Z if __name__ == "__main__": 2022-11-23T01:30:35.9900576Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9900697Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9900905Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9901093Z philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.9901300Z tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9901444Z print_performance(lambda: call([primals_1, philox_seed_like, tangents_1])) 2022-11-23T01:30:35.9901449Z 2022-11-23T01:30:35.9901514Z ok (4.454s) 2022-11-23T01:30:35.9901832Z test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:51,773] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9902148Z [2022-11-23 01:25:51,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4212 2022-11-23T01:30:35.9902360Z [2022-11-23 01:25:51,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m [] 2022-11-23T01:30:35.9902600Z [2022-11-23 01:25:51,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:30:35.9902879Z [2022-11-23 01:25:51,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:30:35.9903151Z [2022-11-23 01:25:51,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9903386Z [2022-11-23 01:25:51,781] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9903624Z [2022-11-23 01:25:51,782] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.9903862Z [2022-11-23 01:25:51,790] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.9904050Z [2022-11-23 01:25:51,790] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9904182Z __compiled_fn_302 .2624 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9904265Z placeholder, x, x, (), {} 2022-11-23T01:30:35.9904350Z call_module, m_0, m_0, (x,), {} 2022-11-23T01:30:35.9904449Z call_module, m_1, m_1, (m_0,), {} 2022-11-23T01:30:35.9904531Z call_module, m_2, m_2, (m_1,), {} 2022-11-23T01:30:35.9904611Z call_module, m_3, m_3, (m_2,), {} 2022-11-23T01:30:35.9904707Z output, output, output, ((m_3,),), {} 2022-11-23T01:30:35.9904712Z 2022-11-23T01:30:35.9905039Z [2022-11-23 01:25:51,790] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 2022-11-23T01:30:35.9905131Z 4212 0 LOAD_DEREF 0 (m) 2022-11-23T01:30:35.9905220Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9905313Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.9905377Z 6 RETURN_VALUE 2022-11-23T01:30:35.9905381Z 2022-11-23T01:30:35.9905440Z 2022-11-23T01:30:35.9905764Z [2022-11-23 01:25:51,790] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 2022-11-23T01:30:35.9905875Z 4210 0 LOAD_GLOBAL 0 (__compiled_fn_302) 2022-11-23T01:30:35.9905965Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:35.9906056Z 4 CALL_FUNCTION 1 2022-11-23T01:30:35.9906148Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9906224Z 8 RETURN_VALUE 2022-11-23T01:30:35.9906229Z 2022-11-23T01:30:35.9906277Z 2022-11-23T01:30:35.9906457Z [2022-11-23 01:25:51,791] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9906525Z - 2022-11-23T01:30:35.9906639Z local 'm' NN_MODULE 2022-11-23T01:30:35.9906703Z { 2022-11-23T01:30:35.9906836Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9906995Z 'code': ['___check_obj_id(m, 140534620247120)'], 2022-11-23T01:30:35.9907203Z 'obj_weakref': 2022-11-23T01:30:35.9907437Z 'guarded_class': 2022-11-23T01:30:35.9907503Z } 2022-11-23T01:30:35.9907568Z 2022-11-23T01:30:35.9907636Z - 2022-11-23T01:30:35.9907757Z local 'x' TENSOR_MATCH 2022-11-23T01:30:35.9907819Z { 2022-11-23T01:30:35.9907949Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9908055Z 'code': None, 2022-11-23T01:30:35.9908265Z 'obj_weakref': 2022-11-23T01:30:35.9908516Z 'guarded_class': 2022-11-23T01:30:35.9908580Z } 2022-11-23T01:30:35.9908643Z 2022-11-23T01:30:35.9908711Z - 2022-11-23T01:30:35.9908836Z local_nn_module 'm[0]' NN_MODULE 2022-11-23T01:30:35.9908898Z { 2022-11-23T01:30:35.9909018Z 'guard_types': None, 2022-11-23T01:30:35.9909124Z 'code': None, 2022-11-23T01:30:35.9909241Z 'obj_weakref': None 2022-11-23T01:30:35.9909359Z 'guarded_class': None 2022-11-23T01:30:35.9909420Z } 2022-11-23T01:30:35.9909525Z 2022-11-23T01:30:35.9909594Z - 2022-11-23T01:30:35.9909729Z local_nn_module 'm[1]' NN_MODULE 2022-11-23T01:30:35.9909791Z { 2022-11-23T01:30:35.9909907Z 'guard_types': None, 2022-11-23T01:30:35.9910012Z 'code': None, 2022-11-23T01:30:35.9910117Z 'obj_weakref': None 2022-11-23T01:30:35.9910237Z 'guarded_class': None 2022-11-23T01:30:35.9910301Z } 2022-11-23T01:30:35.9910364Z 2022-11-23T01:30:35.9910432Z - 2022-11-23T01:30:35.9910567Z local_nn_module 'm[2]' NN_MODULE 2022-11-23T01:30:35.9910630Z { 2022-11-23T01:30:35.9910736Z 'guard_types': None, 2022-11-23T01:30:35.9910841Z 'code': None, 2022-11-23T01:30:35.9910990Z 'obj_weakref': None 2022-11-23T01:30:35.9911111Z 'guarded_class': None 2022-11-23T01:30:35.9911173Z } 2022-11-23T01:30:35.9911237Z 2022-11-23T01:30:35.9911306Z - 2022-11-23T01:30:35.9911428Z local_nn_module 'm[3]' NN_MODULE 2022-11-23T01:30:35.9911490Z { 2022-11-23T01:30:35.9911608Z 'guard_types': None, 2022-11-23T01:30:35.9911712Z 'code': None, 2022-11-23T01:30:35.9911827Z 'obj_weakref': None 2022-11-23T01:30:35.9911945Z 'guarded_class': None 2022-11-23T01:30:35.9911996Z } 2022-11-23T01:30:35.9912058Z 2022-11-23T01:30:35.9912319Z [2022-11-23 01:25:51,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295 2022-11-23T01:30:35.9912573Z [2022-11-23 01:25:51,845] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:35.9912941Z [2022-11-23 01:25:53,324] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ku/ckuhtnmsytsgm66lllreummitqtlw2c4howl5fwejho3zhrvu7py.py 2022-11-23T01:30:35.9913207Z [2022-11-23 01:25:53,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295 2022-11-23T01:30:35.9913459Z [2022-11-23 01:25:53,326] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 295 2022-11-23T01:30:35.9913821Z [2022-11-23 01:25:55,296] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vf/cvfnffktomt6pcfwj2hu7y5c75nyx6web6y6uyc6jmf5lza6whlz.py 2022-11-23T01:30:35.9914084Z [2022-11-23 01:25:55,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 295 2022-11-23T01:30:35.9914090Z 2022-11-23T01:30:35.9914182Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9914241Z import torch 2022-11-23T01:30:35.9914310Z import random 2022-11-23T01:30:35.9914427Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9914549Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9914554Z 2022-11-23T01:30:35.9914632Z aten = torch.ops.aten 2022-11-23T01:30:35.9914765Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9914858Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9915004Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:35.9915009Z 2022-11-23T01:30:35.9915025Z 2022-11-23T01:30:35.9915147Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9915350Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9915466Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.9915565Z const long* __restrict__ seed0, 2022-11-23T01:30:35.9915663Z bool* __restrict__ out_ptr0) 2022-11-23T01:30:35.9915722Z { 2022-11-23T01:30:35.9915818Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9915869Z { 2022-11-23T01:30:35.9915944Z #pragma omp for 2022-11-23T01:30:35.9916028Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.9916089Z { 2022-11-23T01:30:35.9916180Z { 2022-11-23T01:30:35.9916248Z { 2022-11-23T01:30:35.9916322Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.9916417Z auto tmp7 = in_out_ptr0[i0]; 2022-11-23T01:30:35.9916520Z auto tmp1 = static_cast(65535); 2022-11-23T01:30:35.9916610Z auto tmp2 = tmp0 ^ tmp1; 2022-11-23T01:30:35.9916710Z auto tmp3 = static_cast(i0); 2022-11-23T01:30:35.9916847Z auto tmp4 = static_cast(normalized_rand_cpu(tmp2, tmp3));; 2022-11-23T01:30:35.9916950Z auto tmp5 = static_cast(0.5); 2022-11-23T01:30:35.9917041Z auto tmp6 = tmp4 < tmp5; 2022-11-23T01:30:35.9917133Z auto tmp8 = static_cast(tmp6); 2022-11-23T01:30:35.9917254Z auto tmp9 = tmp8 / tmp5; 2022-11-23T01:30:35.9917343Z auto tmp10 = tmp7 * tmp9; 2022-11-23T01:30:35.9917429Z out_ptr0[i0] = tmp6; 2022-11-23T01:30:35.9917518Z in_out_ptr0[i0] = tmp10; 2022-11-23T01:30:35.9917581Z } 2022-11-23T01:30:35.9917644Z } 2022-11-23T01:30:35.9917694Z } 2022-11-23T01:30:35.9917756Z } 2022-11-23T01:30:35.9917815Z } 2022-11-23T01:30:35.9917894Z ''') 2022-11-23T01:30:35.9917898Z 2022-11-23T01:30:35.9917902Z 2022-11-23T01:30:35.9918035Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.9918238Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9918352Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.9918441Z const long* __restrict__ seed0, 2022-11-23T01:30:35.9918538Z bool* __restrict__ out_ptr0) 2022-11-23T01:30:35.9918599Z { 2022-11-23T01:30:35.9918695Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9918756Z { 2022-11-23T01:30:35.9918832Z #pragma omp for 2022-11-23T01:30:35.9918916Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.9918965Z { 2022-11-23T01:30:35.9919026Z { 2022-11-23T01:30:35.9919090Z { 2022-11-23T01:30:35.9919175Z auto tmp0 = seed0[0]; 2022-11-23T01:30:35.9919270Z auto tmp7 = in_out_ptr0[i0]; 2022-11-23T01:30:35.9919373Z auto tmp1 = static_cast(65535); 2022-11-23T01:30:35.9919462Z auto tmp2 = tmp0 ^ tmp1; 2022-11-23T01:30:35.9919555Z auto tmp3 = static_cast(256 + i0); 2022-11-23T01:30:35.9919691Z auto tmp4 = static_cast(normalized_rand_cpu(tmp2, tmp3));; 2022-11-23T01:30:35.9919796Z auto tmp5 = static_cast(0.5); 2022-11-23T01:30:35.9919888Z auto tmp6 = tmp4 < tmp5; 2022-11-23T01:30:35.9920066Z auto tmp8 = static_cast(tmp6); 2022-11-23T01:30:35.9920166Z auto tmp9 = tmp8 / tmp5; 2022-11-23T01:30:35.9920257Z auto tmp10 = tmp7 * tmp9; 2022-11-23T01:30:35.9920328Z out_ptr0[i0] = tmp6; 2022-11-23T01:30:35.9920416Z in_out_ptr0[i0] = tmp10; 2022-11-23T01:30:35.9920483Z } 2022-11-23T01:30:35.9920546Z } 2022-11-23T01:30:35.9920668Z } 2022-11-23T01:30:35.9920729Z } 2022-11-23T01:30:35.9920788Z } 2022-11-23T01:30:35.9920857Z ''') 2022-11-23T01:30:35.9920862Z 2022-11-23T01:30:35.9920866Z 2022-11-23T01:30:35.9920955Z async_compile.wait(globals()) 2022-11-23T01:30:35.9921027Z del async_compile 2022-11-23T01:30:35.9921031Z 2022-11-23T01:30:35.9921102Z def call(args): 2022-11-23T01:30:35.9921204Z primals_1, primals_2, primals_3 = args 2022-11-23T01:30:35.9921275Z args.clear() 2022-11-23T01:30:35.9921409Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:35.9921596Z buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9921766Z aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0) 2022-11-23T01:30:35.9921840Z del primals_1 2022-11-23T01:30:35.9922030Z buf1 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.9922116Z buf2 = buf0; del buf0 # reuse 2022-11-23T01:30:35.9922287Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.9922481Z buf3 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9922600Z aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3) 2022-11-23T01:30:35.9922777Z buf4 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.9922860Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:30:35.9923060Z kernel_cpp_1(c_void_p(buf5.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:35.9923200Z return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), ) 2022-11-23T01:30:35.9923205Z 2022-11-23T01:30:35.9923209Z 2022-11-23T01:30:35.9923286Z if __name__ == "__main__": 2022-11-23T01:30:35.9923398Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9923518Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9923711Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:35.9923902Z primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9924100Z primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9924299Z primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9924436Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:30:35.9924443Z 2022-11-23T01:30:35.9924447Z 2022-11-23T01:30:35.9924544Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9924617Z import torch 2022-11-23T01:30:35.9924697Z import random 2022-11-23T01:30:35.9924925Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9925034Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9925056Z 2022-11-23T01:30:35.9925119Z aten = torch.ops.aten 2022-11-23T01:30:35.9925252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9925344Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9925349Z 2022-11-23T01:30:35.9925353Z 2022-11-23T01:30:35.9925490Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9925694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9925811Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:35.9925917Z const bool* __restrict__ in_ptr1, 2022-11-23T01:30:35.9926016Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9926064Z { 2022-11-23T01:30:35.9926162Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9926224Z { 2022-11-23T01:30:35.9926302Z #pragma omp for 2022-11-23T01:30:35.9926384Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.9926447Z { 2022-11-23T01:30:35.9926499Z { 2022-11-23T01:30:35.9926563Z { 2022-11-23T01:30:35.9926655Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:35.9926744Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:35.9926849Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.9926952Z auto tmp3 = static_cast(0.5); 2022-11-23T01:30:35.9927041Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:30:35.9927118Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:30:35.9927205Z out_ptr0[i0] = tmp5; 2022-11-23T01:30:35.9927270Z } 2022-11-23T01:30:35.9927334Z } 2022-11-23T01:30:35.9927399Z } 2022-11-23T01:30:35.9927510Z } 2022-11-23T01:30:35.9927571Z } 2022-11-23T01:30:35.9927636Z ''') 2022-11-23T01:30:35.9927641Z 2022-11-23T01:30:35.9927645Z 2022-11-23T01:30:35.9927782Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:30:35.9927987Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9928102Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:35.9928204Z const bool* __restrict__ in_ptr0) 2022-11-23T01:30:35.9928265Z { 2022-11-23T01:30:35.9928361Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9928409Z { 2022-11-23T01:30:35.9928485Z #pragma omp for 2022-11-23T01:30:35.9928569Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:30:35.9928630Z { 2022-11-23T01:30:35.9928731Z { 2022-11-23T01:30:35.9928796Z { 2022-11-23T01:30:35.9928891Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:35.9928972Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:30:35.9929079Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:35.9929182Z auto tmp3 = static_cast(0.5); 2022-11-23T01:30:35.9929271Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:30:35.9929360Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:30:35.9929447Z in_out_ptr0[i0] = tmp5; 2022-11-23T01:30:35.9929516Z } 2022-11-23T01:30:35.9929567Z } 2022-11-23T01:30:35.9929629Z } 2022-11-23T01:30:35.9929690Z } 2022-11-23T01:30:35.9929749Z } 2022-11-23T01:30:35.9929827Z ''') 2022-11-23T01:30:35.9929832Z 2022-11-23T01:30:35.9929836Z 2022-11-23T01:30:35.9929925Z async_compile.wait(globals()) 2022-11-23T01:30:35.9929995Z del async_compile 2022-11-23T01:30:35.9930002Z 2022-11-23T01:30:35.9930060Z def call(args): 2022-11-23T01:30:35.9930177Z primals_3, lt, mul, lt_1, permute_4, tangents_1 = args 2022-11-23T01:30:35.9930250Z args.clear() 2022-11-23T01:30:35.9930450Z buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9930616Z kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(lt_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9930683Z del lt_1 2022-11-23T01:30:35.9930755Z del tangents_1 2022-11-23T01:30:35.9930938Z buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9931055Z aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul, out=buf1) 2022-11-23T01:30:35.9931121Z del mul 2022-11-23T01:30:35.9931313Z buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9931415Z aten.mm.out(buf0, permute_4, out=buf2) 2022-11-23T01:30:35.9931481Z del buf0 2022-11-23T01:30:35.9931552Z del permute_4 2022-11-23T01:30:35.9931639Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:30:35.9931754Z kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(lt.data_ptr())) 2022-11-23T01:30:35.9931821Z del lt 2022-11-23T01:30:35.9932012Z buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9932137Z aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4) 2022-11-23T01:30:35.9932203Z del buf3 2022-11-23T01:30:35.9932274Z del primals_3 2022-11-23T01:30:35.9932405Z return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, ) 2022-11-23T01:30:35.9932409Z 2022-11-23T01:30:35.9932413Z 2022-11-23T01:30:35.9932478Z if __name__ == "__main__": 2022-11-23T01:30:35.9932592Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9932713Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9932917Z primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9933101Z lt = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.9933289Z mul = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9933499Z lt_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.9933702Z permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9933886Z tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9934034Z print_performance(lambda: call([primals_3, lt, mul, lt_1, permute_4, tangents_1])) 2022-11-23T01:30:35.9934039Z 2022-11-23T01:30:35.9934104Z ok (3.528s) 2022-11-23T01:30:35.9934417Z test_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:25:55,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:35.9934735Z [2022-11-23 01:25:55,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:35.9934992Z [2022-11-23 01:25:55,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:35.9935246Z [2022-11-23 01:25:55,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:35.9935524Z [2022-11-23 01:25:55,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:35.9935841Z [2022-11-23 01:25:55,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9936185Z [2022-11-23 01:25:55,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9936493Z [2022-11-23 01:25:55,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:35.9936874Z [2022-11-23 01:25:55,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:35.9936969Z 2457 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.9937069Z 2 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:30:35.9937162Z 4 LOAD_FAST 1 (value) 2022-11-23T01:30:35.9937252Z 6 LOAD_FAST 0 (mask) 2022-11-23T01:30:35.9937395Z 8 LOAD_CONST 1 (-10000.0) 2022-11-23T01:30:35.9937483Z 10 CALL_METHOD 3 2022-11-23T01:30:35.9937560Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:35.9937633Z 14 BINARY_ADD 2022-11-23T01:30:35.9937724Z 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.9937822Z 18 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:30:35.9937829Z 2022-11-23T01:30:35.9937918Z 2458 20 LOAD_FAST 1 (value) 2022-11-23T01:30:35.9938005Z 22 LOAD_CONST 3 (2.0) 2022-11-23T01:30:35.9938089Z 24 BINARY_TRUE_DIVIDE 2022-11-23T01:30:35.9938179Z 26 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.9938265Z 28 LOAD_METHOD 3 (logical_not) 2022-11-23T01:30:35.9938352Z 30 LOAD_FAST 0 (mask) 2022-11-23T01:30:35.9938439Z 32 CALL_METHOD 1 2022-11-23T01:30:35.9938525Z 34 LOAD_CONST 4 (667) 2022-11-23T01:30:35.9938530Z 2022-11-23T01:30:35.9938616Z 2457 36 CALL_METHOD 3 2022-11-23T01:30:35.9938701Z 38 BUILD_TUPLE 2 2022-11-23T01:30:35.9938777Z 40 RETURN_VALUE 2022-11-23T01:30:35.9938824Z 2022-11-23T01:30:35.9938829Z 2022-11-23T01:30:35.9939145Z [2022-11-23 01:25:55,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457 2022-11-23T01:30:35.9939393Z [2022-11-23 01:25:55,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.9939707Z [2022-11-23 01:25:55,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:30:35.9939972Z [2022-11-23 01:25:55,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)] 2022-11-23T01:30:35.9940259Z [2022-11-23 01:25:55,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:30:35.9940587Z [2022-11-23 01:25:55,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9940949Z [2022-11-23 01:25:55,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9941221Z [2022-11-23 01:25:55,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:35.9941502Z [2022-11-23 01:25:55,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9941731Z [2022-11-23 01:25:55,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:35.9942071Z [2022-11-23 01:25:55,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9942390Z [2022-11-23 01:25:55,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2458 2022-11-23T01:30:35.9942683Z [2022-11-23 01:25:55,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)] 2022-11-23T01:30:35.9943009Z [2022-11-23 01:25:55,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:30:35.9943383Z [2022-11-23 01:25:55,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9943705Z [2022-11-23 01:25:55,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:30:35.9944193Z [2022-11-23 01:25:55,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9944641Z [2022-11-23 01:25:55,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9945119Z [2022-11-23 01:25:55,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:35.9945466Z [2022-11-23 01:25:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9945778Z [2022-11-23 01:25:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457 2022-11-23T01:30:35.9946162Z [2022-11-23 01:25:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:35.9946458Z [2022-11-23 01:25:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9946694Z [2022-11-23 01:25:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9947070Z [2022-11-23 01:25:55,321] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:35.9947314Z [2022-11-23 01:25:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:35.9947548Z [2022-11-23 01:25:55,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:35.9947801Z [2022-11-23 01:25:55,323] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:35.9948046Z [2022-11-23 01:25:55,327] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:35.9948263Z [2022-11-23 01:25:55,328] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9948397Z __compiled_fn_303 .2635 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9948487Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:35.9948561Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:35.9948757Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {} 2022-11-23T01:30:35.9948938Z call_function, add, , (masked_fill, 2), {} 2022-11-23T01:30:35.9949125Z call_function, truediv, , (ex_1_, 2.0), {} 2022-11-23T01:30:35.9949373Z call_function, logical_not, , (ex_0_,), {} 2022-11-23T01:30:35.9949513Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {} 2022-11-23T01:30:35.9949625Z output, output, output, ((add, masked_fill_1),), {} 2022-11-23T01:30:35.9949633Z 2022-11-23T01:30:35.9949957Z [2022-11-23 01:25:55,328] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9950038Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:35.9950128Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9950213Z 4 BUILD_MAP 0 2022-11-23T01:30:35.9950305Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:35.9950391Z 8 DICT_MERGE 1 2022-11-23T01:30:35.9950478Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:35.9950555Z 12 RETURN_VALUE 2022-11-23T01:30:35.9950561Z 2022-11-23T01:30:35.9950619Z 2022-11-23T01:30:35.9950930Z [2022-11-23 01:25:55,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:35.9951039Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_303) 2022-11-23T01:30:35.9951129Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9951220Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9951297Z 6 BINARY_SUBSCR 2022-11-23T01:30:35.9951384Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:35.9951471Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9951534Z 12 BINARY_SUBSCR 2022-11-23T01:30:35.9951622Z 14 CALL_FUNCTION 2 2022-11-23T01:30:35.9951723Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9951823Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9951911Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:35.9951986Z 22 BINARY_SUBSCR 2022-11-23T01:30:35.9952086Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:35.9952160Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:35.9952236Z 28 BINARY_SUBSCR 2022-11-23T01:30:35.9952323Z 30 BUILD_TUPLE 2 2022-11-23T01:30:35.9952425Z 32 RETURN_VALUE 2022-11-23T01:30:35.9952431Z 2022-11-23T01:30:35.9952492Z 2022-11-23T01:30:35.9952672Z [2022-11-23 01:25:55,329] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9952740Z - 2022-11-23T01:30:35.9952846Z local 'ex' LIST_LENGTH 2022-11-23T01:30:35.9952913Z { 2022-11-23T01:30:35.9953052Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:35.9953236Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:35.9953406Z 'obj_weakref': None 2022-11-23T01:30:35.9953631Z 'guarded_class': 2022-11-23T01:30:35.9953698Z } 2022-11-23T01:30:35.9953749Z 2022-11-23T01:30:35.9953817Z - 2022-11-23T01:30:35.9953966Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:35.9954030Z { 2022-11-23T01:30:35.9954171Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9954283Z 'code': None, 2022-11-23T01:30:35.9954496Z 'obj_weakref': 2022-11-23T01:30:35.9954730Z 'guarded_class': 2022-11-23T01:30:35.9954792Z } 2022-11-23T01:30:35.9954855Z 2022-11-23T01:30:35.9954924Z - 2022-11-23T01:30:35.9955044Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:35.9955107Z { 2022-11-23T01:30:35.9955246Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9955340Z 'code': None, 2022-11-23T01:30:35.9955549Z 'obj_weakref': 2022-11-23T01:30:35.9955801Z 'guarded_class': 2022-11-23T01:30:35.9955867Z } 2022-11-23T01:30:35.9955930Z 2022-11-23T01:30:35.9956000Z - 2022-11-23T01:30:35.9956132Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:35.9956184Z { 2022-11-23T01:30:35.9956316Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:35.9956482Z 'code': ['___check_obj_id(model, 140534431026624)'], 2022-11-23T01:30:35.9956599Z 'obj_weakref': None 2022-11-23T01:30:35.9956825Z 'guarded_class': 2022-11-23T01:30:35.9956890Z } 2022-11-23T01:30:35.9956953Z 2022-11-23T01:30:35.9957007Z - 2022-11-23T01:30:35.9957127Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:35.9957191Z { 2022-11-23T01:30:35.9957326Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:35.9957543Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:35.9957661Z 'obj_weakref': None 2022-11-23T01:30:35.9957883Z 'guarded_class': 2022-11-23T01:30:35.9957945Z } 2022-11-23T01:30:35.9957996Z 2022-11-23T01:30:35.9958065Z - 2022-11-23T01:30:35.9958195Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.9958259Z { 2022-11-23T01:30:35.9958377Z 'guard_types': None, 2022-11-23T01:30:35.9958482Z 'code': None, 2022-11-23T01:30:35.9958588Z 'obj_weakref': None 2022-11-23T01:30:35.9958709Z 'guarded_class': None 2022-11-23T01:30:35.9958772Z } 2022-11-23T01:30:35.9958838Z 2022-11-23T01:30:35.9958905Z - 2022-11-23T01:30:35.9959034Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9959097Z { 2022-11-23T01:30:35.9959205Z 'guard_types': None, 2022-11-23T01:30:35.9959309Z 'code': None, 2022-11-23T01:30:35.9959424Z 'obj_weakref': None 2022-11-23T01:30:35.9959579Z 'guarded_class': None 2022-11-23T01:30:35.9959644Z } 2022-11-23T01:30:35.9959708Z 2022-11-23T01:30:35.9959966Z [2022-11-23 01:25:55,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296 2022-11-23T01:30:35.9960414Z [2022-11-23 01:25:56,887] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nq/cnqthv4r3yrsivluyatnt66h3gyd7iarfbuhw7ycwb4ubteu4hde.py 2022-11-23T01:30:35.9960679Z [2022-11-23 01:25:56,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296 2022-11-23T01:30:35.9960684Z 2022-11-23T01:30:35.9960778Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9960847Z import torch 2022-11-23T01:30:35.9960917Z import random 2022-11-23T01:30:35.9961067Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9961188Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9961193Z 2022-11-23T01:30:35.9961272Z aten = torch.ops.aten 2022-11-23T01:30:35.9961393Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9961486Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9961491Z 2022-11-23T01:30:35.9961495Z 2022-11-23T01:30:35.9961630Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9961835Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9961952Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.9962056Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9962152Z float* __restrict__ out_ptr0, 2022-11-23T01:30:35.9962249Z float* __restrict__ out_ptr1) 2022-11-23T01:30:35.9962297Z { 2022-11-23T01:30:35.9962393Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9962458Z { 2022-11-23T01:30:35.9962534Z #pragma omp for 2022-11-23T01:30:35.9962615Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.9962680Z { 2022-11-23T01:30:35.9962748Z #pragma GCC ivdep 2022-11-23T01:30:35.9962833Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:35.9962896Z { 2022-11-23T01:30:35.9962958Z { 2022-11-23T01:30:35.9963025Z { 2022-11-23T01:30:35.9963118Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.9963220Z auto tmp2 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:30:35.9963375Z auto tmp1 = static_cast(-10000.0); 2022-11-23T01:30:35.9963475Z auto tmp3 = tmp0 ? tmp1 : tmp2; 2022-11-23T01:30:35.9963578Z auto tmp4 = static_cast(2); 2022-11-23T01:30:35.9963670Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:35.9963763Z auto tmp6 = tmp0 == 0; 2022-11-23T01:30:35.9963869Z auto tmp7 = static_cast(667.0); 2022-11-23T01:30:35.9963978Z auto tmp8 = static_cast(2.0); 2022-11-23T01:30:35.9964068Z auto tmp9 = tmp2 / tmp8; 2022-11-23T01:30:35.9964156Z auto tmp10 = tmp6 ? tmp7 : tmp9; 2022-11-23T01:30:35.9964250Z out_ptr0[i1 + (16*i0)] = tmp5; 2022-11-23T01:30:35.9964345Z out_ptr1[i1 + (16*i0)] = tmp10; 2022-11-23T01:30:35.9964414Z } 2022-11-23T01:30:35.9964479Z } 2022-11-23T01:30:35.9964542Z } 2022-11-23T01:30:35.9964607Z } 2022-11-23T01:30:35.9964656Z } 2022-11-23T01:30:35.9964717Z } 2022-11-23T01:30:35.9964896Z ''') 2022-11-23T01:30:35.9964902Z 2022-11-23T01:30:35.9964906Z 2022-11-23T01:30:35.9964999Z async_compile.wait(globals()) 2022-11-23T01:30:35.9965070Z del async_compile 2022-11-23T01:30:35.9965078Z 2022-11-23T01:30:35.9965149Z def call(args): 2022-11-23T01:30:35.9965226Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9965284Z args.clear() 2022-11-23T01:30:35.9965540Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9965739Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9965928Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:35.9965998Z del arg0_1 2022-11-23T01:30:35.9966065Z del arg1_1 2022-11-23T01:30:35.9966142Z return (buf0, buf1, ) 2022-11-23T01:30:35.9966147Z 2022-11-23T01:30:35.9966151Z 2022-11-23T01:30:35.9966229Z if __name__ == "__main__": 2022-11-23T01:30:35.9966331Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9966453Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9966644Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.9966879Z arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9966997Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9967001Z 2022-11-23T01:30:35.9967068Z ok (1.591s) 2022-11-23T01:30:35.9967396Z test_masked_fill_promotion_cpu (__main__.CpuTests) ... [2022-11-23 01:25:56,893] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.9967715Z [2022-11-23 01:25:56,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471 2022-11-23T01:30:35.9967918Z [2022-11-23 01:25:56,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.9968234Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:30:35.9968500Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)] 2022-11-23T01:30:35.9968797Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:30:35.9969128Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9969609Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9970051Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9970529Z [2022-11-23 01:25:56,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9970878Z [2022-11-23 01:25:56,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9971125Z [2022-11-23 01:25:56,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9971357Z [2022-11-23 01:25:56,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.9971596Z [2022-11-23 01:25:56,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.9971819Z [2022-11-23 01:25:56,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.9972010Z [2022-11-23 01:25:56,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9972143Z __compiled_fn_304 .2641 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9972265Z placeholder, mask, mask, (), {} 2022-11-23T01:30:35.9972366Z placeholder, value, value, (), {} 2022-11-23T01:30:35.9972597Z call_function, tensor, , (3.5,), {} 2022-11-23T01:30:35.9972736Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {} 2022-11-23T01:30:35.9972841Z output, output, output, ((masked_fill,),), {} 2022-11-23T01:30:35.9972846Z 2022-11-23T01:30:35.9973157Z [2022-11-23 01:25:56,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 2022-11-23T01:30:35.9973251Z 2471 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.9973351Z 2 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:30:35.9973476Z 4 LOAD_FAST 1 (value) 2022-11-23T01:30:35.9973566Z 6 LOAD_FAST 0 (mask) 2022-11-23T01:30:35.9973660Z 8 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.9973754Z 10 LOAD_METHOD 3 (tensor) 2022-11-23T01:30:35.9973844Z 12 LOAD_CONST 1 (3.5) 2022-11-23T01:30:35.9973918Z 14 CALL_METHOD 1 2022-11-23T01:30:35.9974004Z 16 CALL_METHOD 3 2022-11-23T01:30:35.9974080Z 18 RETURN_VALUE 2022-11-23T01:30:35.9974085Z 2022-11-23T01:30:35.9974145Z 2022-11-23T01:30:35.9974471Z [2022-11-23 01:25:56,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 2022-11-23T01:30:35.9974577Z 2470 0 LOAD_GLOBAL 4 (__compiled_fn_304) 2022-11-23T01:30:35.9974669Z 2 LOAD_FAST 0 (mask) 2022-11-23T01:30:35.9974748Z 4 LOAD_FAST 1 (value) 2022-11-23T01:30:35.9974836Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.9974928Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9975005Z 10 RETURN_VALUE 2022-11-23T01:30:35.9975009Z 2022-11-23T01:30:35.9975069Z 2022-11-23T01:30:35.9975251Z [2022-11-23 01:25:56,909] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9975321Z - 2022-11-23T01:30:35.9975446Z local 'mask' TENSOR_MATCH 2022-11-23T01:30:35.9975498Z { 2022-11-23T01:30:35.9975639Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9975745Z 'code': None, 2022-11-23T01:30:35.9975955Z 'obj_weakref': 2022-11-23T01:30:35.9976209Z 'guarded_class': 2022-11-23T01:30:35.9976275Z } 2022-11-23T01:30:35.9976342Z 2022-11-23T01:30:35.9976397Z - 2022-11-23T01:30:35.9976521Z local 'value' TENSOR_MATCH 2022-11-23T01:30:35.9976585Z { 2022-11-23T01:30:35.9976730Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9976837Z 'code': None, 2022-11-23T01:30:35.9977044Z 'obj_weakref': 2022-11-23T01:30:35.9977293Z 'guarded_class': 2022-11-23T01:30:35.9977345Z } 2022-11-23T01:30:35.9977407Z 2022-11-23T01:30:35.9977476Z - 2022-11-23T01:30:35.9977605Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.9977669Z { 2022-11-23T01:30:35.9977787Z 'guard_types': None, 2022-11-23T01:30:35.9977890Z 'code': None, 2022-11-23T01:30:35.9977994Z 'obj_weakref': None 2022-11-23T01:30:35.9978115Z 'guarded_class': None 2022-11-23T01:30:35.9978177Z } 2022-11-23T01:30:35.9978239Z 2022-11-23T01:30:35.9978306Z - 2022-11-23T01:30:35.9978465Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9978517Z { 2022-11-23T01:30:35.9978638Z 'guard_types': None, 2022-11-23T01:30:35.9978742Z 'code': None, 2022-11-23T01:30:35.9978858Z 'obj_weakref': None 2022-11-23T01:30:35.9978975Z 'guarded_class': None 2022-11-23T01:30:35.9979036Z } 2022-11-23T01:30:35.9979097Z 2022-11-23T01:30:35.9979345Z [2022-11-23 01:25:56,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297 2022-11-23T01:30:35.9979717Z [2022-11-23 01:25:58,632] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oc/cocyx4ro2ba5uxwpptduptzu4nodsy2nflitckglibumx7ucvwi4.py 2022-11-23T01:30:35.9979980Z [2022-11-23 01:25:58,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297 2022-11-23T01:30:35.9980262Z [2022-11-23 01:25:58,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:35.9980579Z [2022-11-23 01:25:58,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471 2022-11-23T01:30:35.9980794Z [2022-11-23 01:25:58,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:35.9981106Z [2022-11-23 01:25:58,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:30:35.9981371Z [2022-11-23 01:25:58,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)] 2022-11-23T01:30:35.9981661Z [2022-11-23 01:25:58,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:30:35.9981986Z [2022-11-23 01:25:58,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9982460Z [2022-11-23 01:25:58,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9982900Z [2022-11-23 01:25:58,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:35.9983377Z [2022-11-23 01:25:58,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:35.9983730Z [2022-11-23 01:25:58,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:35.9983980Z [2022-11-23 01:25:58,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:35.9984213Z [2022-11-23 01:25:58,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:35.9984453Z [2022-11-23 01:25:58,650] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:35.9984690Z [2022-11-23 01:25:58,659] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:35.9984877Z [2022-11-23 01:25:58,659] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:35.9985009Z __compiled_fn_305 .2647 opcode, name, target, args, kwargs 2022-11-23T01:30:35.9985099Z placeholder, mask, mask, (), {} 2022-11-23T01:30:35.9985179Z placeholder, value, value, (), {} 2022-11-23T01:30:35.9985407Z call_function, tensor, , (3.5,), {} 2022-11-23T01:30:35.9985571Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {} 2022-11-23T01:30:35.9985678Z output, output, output, ((masked_fill,),), {} 2022-11-23T01:30:35.9985684Z 2022-11-23T01:30:35.9986005Z [2022-11-23 01:25:58,660] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 2022-11-23T01:30:35.9986099Z 2471 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:35.9986197Z 2 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:30:35.9986290Z 4 LOAD_FAST 1 (value) 2022-11-23T01:30:35.9986366Z 6 LOAD_FAST 0 (mask) 2022-11-23T01:30:35.9986458Z 8 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:35.9986550Z 10 LOAD_METHOD 3 (tensor) 2022-11-23T01:30:35.9986669Z 12 LOAD_CONST 1 (3.5) 2022-11-23T01:30:35.9986757Z 14 CALL_METHOD 1 2022-11-23T01:30:35.9986845Z 16 CALL_METHOD 3 2022-11-23T01:30:35.9986921Z 18 RETURN_VALUE 2022-11-23T01:30:35.9986926Z 2022-11-23T01:30:35.9986973Z 2022-11-23T01:30:35.9987295Z [2022-11-23 01:25:58,660] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 2022-11-23T01:30:35.9987403Z 2470 0 LOAD_GLOBAL 4 (__compiled_fn_305) 2022-11-23T01:30:35.9987494Z 2 LOAD_FAST 0 (mask) 2022-11-23T01:30:35.9987582Z 4 LOAD_FAST 1 (value) 2022-11-23T01:30:35.9987671Z 6 CALL_FUNCTION 2 2022-11-23T01:30:35.9987760Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:35.9987835Z 10 RETURN_VALUE 2022-11-23T01:30:35.9987839Z 2022-11-23T01:30:35.9987889Z 2022-11-23T01:30:35.9988071Z [2022-11-23 01:25:58,661] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:35.9988140Z - 2022-11-23T01:30:35.9988266Z local 'mask' TENSOR_MATCH 2022-11-23T01:30:35.9988331Z { 2022-11-23T01:30:35.9988471Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9988577Z 'code': None, 2022-11-23T01:30:35.9988775Z 'obj_weakref': 2022-11-23T01:30:35.9989030Z 'guarded_class': 2022-11-23T01:30:35.9989096Z } 2022-11-23T01:30:35.9989158Z 2022-11-23T01:30:35.9989227Z - 2022-11-23T01:30:35.9989350Z local 'value' TENSOR_MATCH 2022-11-23T01:30:35.9989411Z { 2022-11-23T01:30:35.9989539Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:35.9989643Z 'code': None, 2022-11-23T01:30:35.9989854Z 'obj_weakref': 2022-11-23T01:30:35.9990109Z 'guarded_class': 2022-11-23T01:30:35.9990172Z } 2022-11-23T01:30:35.9990235Z 2022-11-23T01:30:35.9990302Z - 2022-11-23T01:30:35.9990420Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:35.9990482Z { 2022-11-23T01:30:35.9990602Z 'guard_types': None, 2022-11-23T01:30:35.9990705Z 'code': None, 2022-11-23T01:30:35.9990822Z 'obj_weakref': None 2022-11-23T01:30:35.9990941Z 'guarded_class': None 2022-11-23T01:30:35.9991003Z } 2022-11-23T01:30:35.9991053Z 2022-11-23T01:30:35.9991121Z - 2022-11-23T01:30:35.9991251Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:35.9991314Z { 2022-11-23T01:30:35.9991433Z 'guard_types': None, 2022-11-23T01:30:35.9991537Z 'code': None, 2022-11-23T01:30:35.9991641Z 'obj_weakref': None 2022-11-23T01:30:35.9991793Z 'guarded_class': None 2022-11-23T01:30:35.9991859Z } 2022-11-23T01:30:35.9991920Z 2022-11-23T01:30:35.9992181Z [2022-11-23 01:25:58,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298 2022-11-23T01:30:35.9992548Z [2022-11-23 01:26:00,258] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/in/ciniw2o7upueguoy42duvmgc25dsr6gtymefal6xqctwvih42hhh.py 2022-11-23T01:30:35.9992810Z [2022-11-23 01:26:00,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298 2022-11-23T01:30:35.9992816Z 2022-11-23T01:30:35.9992909Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9992966Z import torch 2022-11-23T01:30:35.9993035Z import random 2022-11-23T01:30:35.9993147Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9993299Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9993304Z 2022-11-23T01:30:35.9993381Z aten = torch.ops.aten 2022-11-23T01:30:35.9993517Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9993609Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9993614Z 2022-11-23T01:30:35.9993618Z 2022-11-23T01:30:35.9993749Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9993941Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9994060Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.9994163Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:35.9994261Z float* __restrict__ out_ptr0) 2022-11-23T01:30:35.9994324Z { 2022-11-23T01:30:35.9994420Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:35.9994482Z { 2022-11-23T01:30:35.9994546Z #pragma omp for 2022-11-23T01:30:35.9994630Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:35.9994692Z { 2022-11-23T01:30:35.9994774Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:35.9994840Z { 2022-11-23T01:30:35.9994944Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:30:35.9995067Z flag_to_float(in_ptr0 + 8*i1, g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:30:35.9995207Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:30:35.9995346Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (16*i0)); 2022-11-23T01:30:35.9995480Z auto tmp1 = at::vec::Vectorized(static_cast(3.5)); 2022-11-23T01:30:35.9995606Z auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0); 2022-11-23T01:30:35.9995707Z tmp3.store(out_ptr0 + (8*i1) + (16*i0)); 2022-11-23T01:30:35.9995771Z } 2022-11-23T01:30:35.9995862Z #pragma omp simd simdlen(4) 2022-11-23T01:30:35.9995949Z for(long i1=16; i1<16; i1+=1) 2022-11-23T01:30:35.9996001Z { 2022-11-23T01:30:35.9996086Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:35.9996183Z auto tmp2 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:30:35.9996285Z auto tmp1 = static_cast(3.5); 2022-11-23T01:30:35.9996379Z auto tmp3 = tmp0 ? tmp1 : tmp2; 2022-11-23T01:30:35.9996470Z out_ptr0[i1 + (16*i0)] = tmp3; 2022-11-23T01:30:35.9996532Z } 2022-11-23T01:30:35.9996583Z } 2022-11-23T01:30:35.9996645Z } 2022-11-23T01:30:35.9996704Z } 2022-11-23T01:30:35.9996782Z ''') 2022-11-23T01:30:35.9996787Z 2022-11-23T01:30:35.9996791Z 2022-11-23T01:30:35.9996879Z async_compile.wait(globals()) 2022-11-23T01:30:35.9996950Z del async_compile 2022-11-23T01:30:35.9996955Z 2022-11-23T01:30:35.9997024Z def call(args): 2022-11-23T01:30:35.9997097Z arg0_1, arg1_1 = args 2022-11-23T01:30:35.9997158Z args.clear() 2022-11-23T01:30:35.9997358Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9997552Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:35.9997622Z del arg0_1 2022-11-23T01:30:35.9997687Z del arg1_1 2022-11-23T01:30:35.9997757Z return (buf0, ) 2022-11-23T01:30:35.9997762Z 2022-11-23T01:30:35.9997766Z 2022-11-23T01:30:35.9997844Z if __name__ == "__main__": 2022-11-23T01:30:35.9997946Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:35.9998067Z from torch._inductor.utils import print_performance 2022-11-23T01:30:35.9998258Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:35.9998457Z arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:35.9998570Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:35.9998575Z 2022-11-23T01:30:35.9998606Z 2022-11-23T01:30:35.9998702Z from ctypes import c_void_p, c_long 2022-11-23T01:30:35.9998771Z import torch 2022-11-23T01:30:35.9998840Z import random 2022-11-23T01:30:35.9998943Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:35.9999062Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:35.9999067Z 2022-11-23T01:30:35.9999143Z aten = torch.ops.aten 2022-11-23T01:30:35.9999275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:35.9999366Z async_compile = AsyncCompile() 2022-11-23T01:30:35.9999370Z 2022-11-23T01:30:35.9999375Z 2022-11-23T01:30:35.9999507Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:35.9999708Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:35.9999824Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:30:35.9999915Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.0000106Z long* __restrict__ out_ptr0) 2022-11-23T01:30:36.0000173Z { 2022-11-23T01:30:36.0000270Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0000331Z { 2022-11-23T01:30:36.0000410Z #pragma omp for 2022-11-23T01:30:36.0000493Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.0000543Z { 2022-11-23T01:30:36.0000622Z #pragma GCC ivdep 2022-11-23T01:30:36.0000708Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:36.0000771Z { 2022-11-23T01:30:36.0000835Z { 2022-11-23T01:30:36.0000901Z { 2022-11-23T01:30:36.0000996Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.0001086Z auto tmp3 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:30:36.0001192Z auto tmp1 = static_cast(3.5); 2022-11-23T01:30:36.0001303Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.0001402Z auto tmp4 = tmp0 ? tmp2 : tmp3; 2022-11-23T01:30:36.0001499Z out_ptr0[i1 + (16*i0)] = tmp4; 2022-11-23T01:30:36.0001565Z } 2022-11-23T01:30:36.0001629Z } 2022-11-23T01:30:36.0001682Z } 2022-11-23T01:30:36.0001745Z } 2022-11-23T01:30:36.0001805Z } 2022-11-23T01:30:36.0001864Z } 2022-11-23T01:30:36.0001944Z ''') 2022-11-23T01:30:36.0001949Z 2022-11-23T01:30:36.0001954Z 2022-11-23T01:30:36.0002041Z async_compile.wait(globals()) 2022-11-23T01:30:36.0002111Z del async_compile 2022-11-23T01:30:36.0002116Z 2022-11-23T01:30:36.0002174Z def call(args): 2022-11-23T01:30:36.0002247Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.0002316Z args.clear() 2022-11-23T01:30:36.0002511Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0002675Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0002745Z del arg0_1 2022-11-23T01:30:36.0002814Z del arg1_1 2022-11-23T01:30:36.0002873Z return (buf0, ) 2022-11-23T01:30:36.0002878Z 2022-11-23T01:30:36.0002895Z 2022-11-23T01:30:36.0002958Z if __name__ == "__main__": 2022-11-23T01:30:36.0003109Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0003235Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0003426Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.0003620Z arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0003733Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.0003738Z 2022-11-23T01:30:36.0003805Z ok (3.370s) 2022-11-23T01:30:36.0004097Z test_max_min_cpu (__main__.CpuTests) ... [2022-11-23 01:26:00,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0004414Z [2022-11-23 01:26:00,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0004695Z [2022-11-23 01:26:00,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0005056Z [2022-11-23 01:26:00,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0005333Z [2022-11-23 01:26:00,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0005650Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0005999Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0006321Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0006699Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0006795Z 683 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.0006878Z 2 LOAD_METHOD 1 (maximum) 2022-11-23T01:30:36.0006969Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0007058Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0007149Z 8 CALL_METHOD 2 2022-11-23T01:30:36.0007241Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.0007335Z 12 LOAD_METHOD 2 (minimum) 2022-11-23T01:30:36.0007422Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0007508Z 16 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0007580Z 18 CALL_METHOD 2 2022-11-23T01:30:36.0007666Z 20 BUILD_TUPLE 2 2022-11-23T01:30:36.0007746Z 22 RETURN_VALUE 2022-11-23T01:30:36.0007808Z 2022-11-23T01:30:36.0007814Z 2022-11-23T01:30:36.0008128Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:683 2022-11-23T01:30:36.0008348Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.0008716Z [2022-11-23 01:26:00,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable()] 2022-11-23T01:30:36.0009036Z [2022-11-23 01:26:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.0009372Z [2022-11-23 01:26:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0009819Z [2022-11-23 01:26:00,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0010069Z [2022-11-23 01:26:00,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.0010470Z [2022-11-23 01:26:00,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0010827Z [2022-11-23 01:26:00,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0011206Z [2022-11-23 01:26:00,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0011665Z [2022-11-23 01:26:00,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0011934Z [2022-11-23 01:26:00,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0012179Z [2022-11-23 01:26:00,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0012555Z [2022-11-23 01:26:00,268] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0012796Z [2022-11-23 01:26:00,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0013029Z [2022-11-23 01:26:00,268] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0013269Z [2022-11-23 01:26:00,269] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0013520Z [2022-11-23 01:26:00,273] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0013705Z [2022-11-23 01:26:00,273] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0013840Z __compiled_fn_306 .2653 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0013929Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0014016Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0014260Z call_function, maximum, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.0014501Z call_function, minimum, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.0014602Z output, output, output, ((maximum, minimum),), {} 2022-11-23T01:30:36.0014623Z 2022-11-23T01:30:36.0014938Z [2022-11-23 01:26:00,273] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0015033Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0015124Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0015211Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0015303Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0015387Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0015474Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0015538Z 12 RETURN_VALUE 2022-11-23T01:30:36.0015556Z 2022-11-23T01:30:36.0015605Z 2022-11-23T01:30:36.0015924Z [2022-11-23 01:26:00,273] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0016033Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_306) 2022-11-23T01:30:36.0016126Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0016216Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0016320Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0016409Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0016484Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0016559Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0016647Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.0016751Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0016852Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0016940Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0017015Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0017101Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0017189Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0017291Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.0017378Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.0017452Z 32 RETURN_VALUE 2022-11-23T01:30:36.0017459Z 2022-11-23T01:30:36.0017522Z 2022-11-23T01:30:36.0017701Z [2022-11-23 01:26:00,274] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0017757Z - 2022-11-23T01:30:36.0017875Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0017937Z { 2022-11-23T01:30:36.0018076Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0018260Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.0018378Z 'obj_weakref': None 2022-11-23T01:30:36.0018602Z 'guarded_class': 2022-11-23T01:30:36.0018655Z } 2022-11-23T01:30:36.0018718Z 2022-11-23T01:30:36.0018785Z - 2022-11-23T01:30:36.0018907Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0018971Z { 2022-11-23T01:30:36.0019113Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0019217Z 'code': None, 2022-11-23T01:30:36.0019420Z 'obj_weakref': 2022-11-23T01:30:36.0019673Z 'guarded_class': 2022-11-23T01:30:36.0019736Z } 2022-11-23T01:30:36.0019798Z 2022-11-23T01:30:36.0019866Z - 2022-11-23T01:30:36.0019988Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0020050Z { 2022-11-23T01:30:36.0020178Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0020295Z 'code': None, 2022-11-23T01:30:36.0020581Z 'obj_weakref': 2022-11-23T01:30:36.0020834Z 'guarded_class': 2022-11-23T01:30:36.0020901Z } 2022-11-23T01:30:36.0020963Z 2022-11-23T01:30:36.0021031Z - 2022-11-23T01:30:36.0021150Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0021213Z { 2022-11-23T01:30:36.0021347Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0021515Z 'code': ['___check_obj_id(model, 140534620131328)'], 2022-11-23T01:30:36.0021632Z 'obj_weakref': None 2022-11-23T01:30:36.0021862Z 'guarded_class': 2022-11-23T01:30:36.0021925Z } 2022-11-23T01:30:36.0021975Z 2022-11-23T01:30:36.0022041Z - 2022-11-23T01:30:36.0022161Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0022224Z { 2022-11-23T01:30:36.0022359Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0022572Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0022691Z 'obj_weakref': None 2022-11-23T01:30:36.0022937Z 'guarded_class': 2022-11-23T01:30:36.0023004Z } 2022-11-23T01:30:36.0023065Z 2022-11-23T01:30:36.0023134Z - 2022-11-23T01:30:36.0023265Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0023327Z { 2022-11-23T01:30:36.0023445Z 'guard_types': None, 2022-11-23T01:30:36.0023537Z 'code': None, 2022-11-23T01:30:36.0023653Z 'obj_weakref': None 2022-11-23T01:30:36.0023772Z 'guarded_class': None 2022-11-23T01:30:36.0023834Z } 2022-11-23T01:30:36.0023895Z 2022-11-23T01:30:36.0024153Z [2022-11-23 01:26:00,281] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299 2022-11-23T01:30:36.0024520Z [2022-11-23 01:26:01,752] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hr/chruuquqtk44sjroop2rl6dlurub33uukugmf5ib23x2acvtvrl5.py 2022-11-23T01:30:36.0024834Z [2022-11-23 01:26:01,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299 2022-11-23T01:30:36.0024839Z 2022-11-23T01:30:36.0024919Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0024987Z import torch 2022-11-23T01:30:36.0025059Z import random 2022-11-23T01:30:36.0025174Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0025295Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0025299Z 2022-11-23T01:30:36.0025376Z aten = torch.ops.aten 2022-11-23T01:30:36.0025509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0025587Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0025604Z 2022-11-23T01:30:36.0025609Z 2022-11-23T01:30:36.0025728Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0025932Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0026053Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0026159Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0026258Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0026352Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.0026412Z { 2022-11-23T01:30:36.0026496Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0026558Z { 2022-11-23T01:30:36.0026634Z #pragma omp for 2022-11-23T01:30:36.0026715Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.0026776Z { 2022-11-23T01:30:36.0026913Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.0027041Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.0027138Z auto tmp2 = at::vec::maximum(tmp0, tmp1); 2022-11-23T01:30:36.0027247Z auto tmp3 = at::vec::minimum(tmp0, tmp1); 2022-11-23T01:30:36.0027338Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.0027429Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.0027492Z } 2022-11-23T01:30:36.0027584Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0027664Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.0027713Z { 2022-11-23T01:30:36.0027795Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.0027876Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.0027974Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:30:36.0028071Z auto tmp3 = std::min(tmp0, tmp1); 2022-11-23T01:30:36.0028152Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.0028228Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:36.0028277Z } 2022-11-23T01:30:36.0028337Z } 2022-11-23T01:30:36.0028395Z } 2022-11-23T01:30:36.0028473Z ''') 2022-11-23T01:30:36.0028478Z 2022-11-23T01:30:36.0028485Z 2022-11-23T01:30:36.0028575Z async_compile.wait(globals()) 2022-11-23T01:30:36.0028646Z del async_compile 2022-11-23T01:30:36.0028651Z 2022-11-23T01:30:36.0028720Z def call(args): 2022-11-23T01:30:36.0028821Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.0028880Z args.clear() 2022-11-23T01:30:36.0029074Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0029261Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0029450Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0029518Z del arg0_1 2022-11-23T01:30:36.0029583Z del arg1_1 2022-11-23T01:30:36.0029659Z return (buf0, buf1, ) 2022-11-23T01:30:36.0029663Z 2022-11-23T01:30:36.0029667Z 2022-11-23T01:30:36.0029742Z if __name__ == "__main__": 2022-11-23T01:30:36.0029843Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0029965Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0030182Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0030373Z arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0030486Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.0030491Z 2022-11-23T01:30:36.0030557Z ok (1.494s) 2022-11-23T01:30:36.0030866Z test_max_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:01,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0031180Z [2022-11-23 01:26:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0031386Z [2022-11-23 01:26:01,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0031640Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0031919Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0032240Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0032585Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0032908Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0033282Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0033376Z 1953 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0033493Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:30:36.0033570Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0033662Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0033749Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0033837Z 10 BUILD_LIST 2 2022-11-23T01:30:36.0033924Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0034009Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0034093Z 16 BUILD_LIST 2 2022-11-23T01:30:36.0034177Z 18 CALL_METHOD 3 2022-11-23T01:30:36.0034241Z 20 RETURN_VALUE 2022-11-23T01:30:36.0034300Z 2022-11-23T01:30:36.0034305Z 2022-11-23T01:30:36.0034621Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1953 2022-11-23T01:30:36.0034839Z [2022-11-23 01:26:01,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0035196Z [2022-11-23 01:26:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:36.0035475Z [2022-11-23 01:26:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:36.0035781Z [2022-11-23 01:26:01,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:36.0036121Z [2022-11-23 01:26:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0036504Z [2022-11-23 01:26:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0036864Z [2022-11-23 01:26:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0037216Z [2022-11-23 01:26:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0037621Z [2022-11-23 01:26:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0037977Z [2022-11-23 01:26:01,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0038222Z [2022-11-23 01:26:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0038602Z [2022-11-23 01:26:01,765] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0038845Z [2022-11-23 01:26:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0039077Z [2022-11-23 01:26:01,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0039327Z [2022-11-23 01:26:01,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0039574Z [2022-11-23 01:26:01,769] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0039760Z [2022-11-23 01:26:01,770] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0039881Z __compiled_fn_307 .2659 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0039973Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0040211Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:30:36.0040435Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:36.0040654Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:30:36.0040767Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0040773Z 2022-11-23T01:30:36.0041095Z [2022-11-23 01:26:01,770] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0041187Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0041276Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0041350Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0041442Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0041529Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0041617Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0041694Z 12 RETURN_VALUE 2022-11-23T01:30:36.0041731Z 2022-11-23T01:30:36.0041793Z 2022-11-23T01:30:36.0042112Z [2022-11-23 01:26:01,770] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0042207Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_307) 2022-11-23T01:30:36.0042297Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0042386Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0042462Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0042549Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0042651Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0042750Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0042838Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0042931Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0043031Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0043121Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0043196Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0043281Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0043354Z 26 RETURN_VALUE 2022-11-23T01:30:36.0043359Z 2022-11-23T01:30:36.0043418Z 2022-11-23T01:30:36.0043586Z [2022-11-23 01:26:01,771] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0043657Z - 2022-11-23T01:30:36.0043775Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0043838Z { 2022-11-23T01:30:36.0043977Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0044161Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0044279Z 'obj_weakref': None 2022-11-23T01:30:36.0044494Z 'guarded_class': 2022-11-23T01:30:36.0044559Z } 2022-11-23T01:30:36.0044622Z 2022-11-23T01:30:36.0044692Z - 2022-11-23T01:30:36.0044924Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0044989Z { 2022-11-23T01:30:36.0045134Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0045228Z 'code': None, 2022-11-23T01:30:36.0045439Z 'obj_weakref': 2022-11-23T01:30:36.0045693Z 'guarded_class': 2022-11-23T01:30:36.0045757Z } 2022-11-23T01:30:36.0045820Z 2022-11-23T01:30:36.0045888Z - 2022-11-23T01:30:36.0046016Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0046066Z { 2022-11-23T01:30:36.0046199Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0046369Z 'code': ['___check_obj_id(model, 140534620131328)'], 2022-11-23T01:30:36.0046488Z 'obj_weakref': None 2022-11-23T01:30:36.0046721Z 'guarded_class': 2022-11-23T01:30:36.0046785Z } 2022-11-23T01:30:36.0046847Z 2022-11-23T01:30:36.0046902Z - 2022-11-23T01:30:36.0047022Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0047085Z { 2022-11-23T01:30:36.0047220Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0047436Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0047553Z 'obj_weakref': None 2022-11-23T01:30:36.0047773Z 'guarded_class': 2022-11-23T01:30:36.0047824Z } 2022-11-23T01:30:36.0047889Z 2022-11-23T01:30:36.0047959Z - 2022-11-23T01:30:36.0048089Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0048152Z { 2022-11-23T01:30:36.0048270Z 'guard_types': None, 2022-11-23T01:30:36.0048424Z 'code': None, 2022-11-23T01:30:36.0048530Z 'obj_weakref': None 2022-11-23T01:30:36.0048651Z 'guarded_class': None 2022-11-23T01:30:36.0048714Z } 2022-11-23T01:30:36.0048778Z 2022-11-23T01:30:36.0049038Z [2022-11-23 01:26:01,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300 2022-11-23T01:30:36.0049419Z [2022-11-23 01:26:03,822] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ni/cnitbpbizq5acyjo4upknpnb2wlikdnp5lkzuf4y3rlxnfbchsi2.py 2022-11-23T01:30:36.0049683Z [2022-11-23 01:26:03,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300 2022-11-23T01:30:36.0049688Z 2022-11-23T01:30:36.0049781Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0049871Z import torch 2022-11-23T01:30:36.0049940Z import random 2022-11-23T01:30:36.0050054Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0050176Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0050181Z 2022-11-23T01:30:36.0050259Z aten = torch.ops.aten 2022-11-23T01:30:36.0050389Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0050482Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0050486Z 2022-11-23T01:30:36.0050491Z 2022-11-23T01:30:36.0050611Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0050815Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0050933Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0051032Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0051129Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.0051195Z { 2022-11-23T01:30:36.0051291Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0051339Z { 2022-11-23T01:30:36.0051416Z #pragma omp for 2022-11-23T01:30:36.0051499Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0051563Z { 2022-11-23T01:30:36.0051643Z #pragma GCC ivdep 2022-11-23T01:30:36.0051725Z for(long i1=0; i1<7; i1+=1) 2022-11-23T01:30:36.0051788Z { 2022-11-23T01:30:36.0051856Z #pragma GCC ivdep 2022-11-23T01:30:36.0051944Z for(long i2=0; i2<7; i2+=1) 2022-11-23T01:30:36.0052009Z { 2022-11-23T01:30:36.0052075Z { 2022-11-23T01:30:36.0052143Z { 2022-11-23T01:30:36.0052256Z auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0052369Z auto tmp2 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0052467Z auto tmp7 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0052584Z auto tmp12 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0052694Z auto tmp17 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0052802Z auto tmp22 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0052910Z auto tmp27 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0053013Z auto tmp32 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0053117Z auto tmp37 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:30:36.0053232Z auto tmp1 = static_cast((2*i2) + (32*i1)); 2022-11-23T01:30:36.0053350Z auto tmp3 = static_cast(1 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0053433Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:30:36.0053537Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:30:36.0053653Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.0053799Z auto tmp8 = static_cast(2 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0053897Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:30:36.0053999Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:30:36.0054108Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:30:36.0054211Z auto tmp13 = static_cast(16 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0054309Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:30:36.0054413Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:30:36.0054524Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:30:36.0054643Z auto tmp18 = static_cast(17 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0054767Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:30:36.0054870Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:30:36.0054980Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:30:36.0055085Z auto tmp23 = static_cast(18 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0055182Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:30:36.0055288Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:30:36.0055397Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:30:36.0055512Z auto tmp28 = static_cast(32 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0055608Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:30:36.0055713Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:30:36.0055820Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:30:36.0055927Z auto tmp33 = static_cast(33 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0056025Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:30:36.0060727Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:30:36.0060878Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:30:36.0060990Z auto tmp38 = static_cast(34 + (2*i2) + (32*i1)); 2022-11-23T01:30:36.0061090Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:30:36.0061197Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:30:36.0061309Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:30:36.0061415Z out_ptr0[i2 + (7*i1) + (49*i0)] = tmp41; 2022-11-23T01:30:36.0061519Z out_ptr1[i2 + (7*i1) + (49*i0)] = tmp40; 2022-11-23T01:30:36.0061593Z } 2022-11-23T01:30:36.0061648Z } 2022-11-23T01:30:36.0061715Z } 2022-11-23T01:30:36.0061782Z } 2022-11-23T01:30:36.0061848Z } 2022-11-23T01:30:36.0061918Z } 2022-11-23T01:30:36.0061979Z } 2022-11-23T01:30:36.0062084Z ''') 2022-11-23T01:30:36.0062089Z 2022-11-23T01:30:36.0062094Z 2022-11-23T01:30:36.0062173Z async_compile.wait(globals()) 2022-11-23T01:30:36.0062247Z del async_compile 2022-11-23T01:30:36.0062252Z 2022-11-23T01:30:36.0062322Z def call(args): 2022-11-23T01:30:36.0062392Z arg0_1, = args 2022-11-23T01:30:36.0062467Z args.clear() 2022-11-23T01:30:36.0062685Z buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0062896Z buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0063065Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0063124Z del arg0_1 2022-11-23T01:30:36.0063203Z return (buf0, buf1, ) 2022-11-23T01:30:36.0063208Z 2022-11-23T01:30:36.0063212Z 2022-11-23T01:30:36.0063290Z if __name__ == "__main__": 2022-11-23T01:30:36.0063474Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0063600Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0063823Z arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0063932Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0063937Z 2022-11-23T01:30:36.0064004Z ok (2.071s) 2022-11-23T01:30:36.0064306Z test_max_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0064627Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0064879Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0065135Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0065414Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0065734Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0066083Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0066407Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0066784Z [2022-11-23 01:26:03,865] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0066886Z 1962 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0066989Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:30:36.0067079Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0067168Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0067257Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0067347Z 10 BUILD_LIST 2 2022-11-23T01:30:36.0067434Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0067520Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0067593Z 16 BUILD_LIST 2 2022-11-23T01:30:36.0067680Z 18 CALL_METHOD 3 2022-11-23T01:30:36.0067757Z 20 RETURN_VALUE 2022-11-23T01:30:36.0067818Z 2022-11-23T01:30:36.0067826Z 2022-11-23T01:30:36.0068141Z [2022-11-23 01:26:03,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1962 2022-11-23T01:30:36.0068359Z [2022-11-23 01:26:03,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0068692Z [2022-11-23 01:26:03,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:36.0068971Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:36.0069276Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:36.0069603Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0070015Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0070345Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0070709Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0071116Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0071475Z [2022-11-23 01:26:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0071754Z [2022-11-23 01:26:03,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0072132Z [2022-11-23 01:26:03,875] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0072377Z [2022-11-23 01:26:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0072610Z [2022-11-23 01:26:03,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0072865Z [2022-11-23 01:26:03,876] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0073111Z [2022-11-23 01:26:03,879] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0073289Z [2022-11-23 01:26:03,879] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0073424Z __compiled_fn_308 .2665 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0073516Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0073673Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:30:36.0073891Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:36.0074110Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:30:36.0074224Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0074229Z 2022-11-23T01:30:36.0074558Z [2022-11-23 01:26:03,879] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0074639Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0074731Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0074817Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0074909Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0074996Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0075083Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0075159Z 12 RETURN_VALUE 2022-11-23T01:30:36.0075164Z 2022-11-23T01:30:36.0075212Z 2022-11-23T01:30:36.0075534Z [2022-11-23 01:26:03,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0075643Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_308) 2022-11-23T01:30:36.0075733Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0075824Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0075902Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0075986Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0076092Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0076180Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0076299Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0076379Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0076479Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0076566Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0076639Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0076725Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0076786Z 26 RETURN_VALUE 2022-11-23T01:30:36.0076791Z 2022-11-23T01:30:36.0076853Z 2022-11-23T01:30:36.0077035Z [2022-11-23 01:26:03,880] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0077104Z - 2022-11-23T01:30:36.0077223Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0077287Z { 2022-11-23T01:30:36.0077426Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0077629Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0077748Z 'obj_weakref': None 2022-11-23T01:30:36.0077978Z 'guarded_class': 2022-11-23T01:30:36.0078042Z } 2022-11-23T01:30:36.0078106Z 2022-11-23T01:30:36.0078174Z - 2022-11-23T01:30:36.0078294Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0078345Z { 2022-11-23T01:30:36.0078485Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0078590Z 'code': None, 2022-11-23T01:30:36.0078802Z 'obj_weakref': 2022-11-23T01:30:36.0079053Z 'guarded_class': 2022-11-23T01:30:36.0079116Z } 2022-11-23T01:30:36.0079183Z 2022-11-23T01:30:36.0079238Z - 2022-11-23T01:30:36.0079366Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0079428Z { 2022-11-23T01:30:36.0079563Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0079731Z 'code': ['___check_obj_id(model, 140534431826848)'], 2022-11-23T01:30:36.0079848Z 'obj_weakref': None 2022-11-23T01:30:36.0080173Z 'guarded_class': 2022-11-23T01:30:36.0080225Z } 2022-11-23T01:30:36.0080289Z 2022-11-23T01:30:36.0080360Z - 2022-11-23T01:30:36.0080482Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0080544Z { 2022-11-23T01:30:36.0080680Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0080900Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0081004Z 'obj_weakref': None 2022-11-23T01:30:36.0081228Z 'guarded_class': 2022-11-23T01:30:36.0081292Z } 2022-11-23T01:30:36.0081357Z 2022-11-23T01:30:36.0081426Z - 2022-11-23T01:30:36.0081557Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0081620Z { 2022-11-23T01:30:36.0081726Z 'guard_types': None, 2022-11-23T01:30:36.0081831Z 'code': None, 2022-11-23T01:30:36.0081948Z 'obj_weakref': None 2022-11-23T01:30:36.0082068Z 'guarded_class': None 2022-11-23T01:30:36.0082130Z } 2022-11-23T01:30:36.0082191Z 2022-11-23T01:30:36.0082450Z [2022-11-23 01:26:03,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301 2022-11-23T01:30:36.0082805Z [2022-11-23 01:26:05,457] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiwljtzzvqhkfqgvxcb24ns5jwzgp5e4e3o6zwogip43lw36qhi.py 2022-11-23T01:30:36.0083072Z [2022-11-23 01:26:05,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301 2022-11-23T01:30:36.0083078Z 2022-11-23T01:30:36.0083206Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0083277Z import torch 2022-11-23T01:30:36.0083345Z import random 2022-11-23T01:30:36.0083460Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0083581Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0083586Z 2022-11-23T01:30:36.0083662Z aten = torch.ops.aten 2022-11-23T01:30:36.0083782Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0083874Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0083879Z 2022-11-23T01:30:36.0083883Z 2022-11-23T01:30:36.0084020Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0084226Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0084344Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0084474Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0084571Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.0084634Z { 2022-11-23T01:30:36.0084719Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0084903Z { 2022-11-23T01:30:36.0084982Z #pragma omp for 2022-11-23T01:30:36.0085065Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:36.0085129Z { 2022-11-23T01:30:36.0085209Z #pragma GCC ivdep 2022-11-23T01:30:36.0085293Z for(long i1=0; i1<27; i1+=1) 2022-11-23T01:30:36.0085343Z { 2022-11-23T01:30:36.0085426Z #pragma GCC ivdep 2022-11-23T01:30:36.0085514Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:30:36.0085579Z { 2022-11-23T01:30:36.0085649Z { 2022-11-23T01:30:36.0085718Z { 2022-11-23T01:30:36.0085831Z auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0085935Z auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086049Z auto tmp7 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086166Z auto tmp12 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086277Z auto tmp17 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086383Z auto tmp22 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086496Z auto tmp27 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086610Z auto tmp32 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086724Z auto tmp37 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:30:36.0086826Z auto tmp1 = static_cast((2*i2) + (110*i1)); 2022-11-23T01:30:36.0086945Z auto tmp3 = static_cast(1 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0087044Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:30:36.0087148Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:30:36.0087265Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.0087382Z auto tmp8 = static_cast(2 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0087477Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:30:36.0087580Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:30:36.0087676Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:30:36.0087795Z auto tmp13 = static_cast(55 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0087893Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:30:36.0087998Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:30:36.0088111Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:30:36.0088285Z auto tmp18 = static_cast(56 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0088384Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:30:36.0088489Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:30:36.0088586Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:30:36.0088704Z auto tmp23 = static_cast(57 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0088801Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:30:36.0088905Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:30:36.0089018Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:30:36.0089138Z auto tmp28 = static_cast(110 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0089273Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:30:36.0089363Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:30:36.0089474Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:30:36.0089595Z auto tmp33 = static_cast(111 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0089692Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:30:36.0089795Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:30:36.0089904Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:30:36.0090022Z auto tmp38 = static_cast(112 + (2*i2) + (110*i1)); 2022-11-23T01:30:36.0090120Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:30:36.0090209Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:30:36.0090315Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:30:36.0090425Z out_ptr0[i2 + (27*i1) + (729*i0)] = tmp41; 2022-11-23T01:30:36.0090531Z out_ptr1[i2 + (27*i1) + (729*i0)] = tmp40; 2022-11-23T01:30:36.0090599Z } 2022-11-23T01:30:36.0090666Z } 2022-11-23T01:30:36.0090731Z } 2022-11-23T01:30:36.0090795Z } 2022-11-23T01:30:36.0090844Z } 2022-11-23T01:30:36.0090905Z } 2022-11-23T01:30:36.0090966Z } 2022-11-23T01:30:36.0091049Z ''') 2022-11-23T01:30:36.0091054Z 2022-11-23T01:30:36.0091058Z 2022-11-23T01:30:36.0091149Z async_compile.wait(globals()) 2022-11-23T01:30:36.0091221Z del async_compile 2022-11-23T01:30:36.0091225Z 2022-11-23T01:30:36.0091294Z def call(args): 2022-11-23T01:30:36.0091350Z arg0_1, = args 2022-11-23T01:30:36.0091426Z args.clear() 2022-11-23T01:30:36.0091649Z buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0091869Z buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0092035Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0092104Z del arg0_1 2022-11-23T01:30:36.0092182Z return (buf0, buf1, ) 2022-11-23T01:30:36.0092186Z 2022-11-23T01:30:36.0092190Z 2022-11-23T01:30:36.0092265Z if __name__ == "__main__": 2022-11-23T01:30:36.0092367Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0092491Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0092715Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0092822Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0092827Z 2022-11-23T01:30:36.0092894Z ok (1.643s) 2022-11-23T01:30:36.0093202Z test_max_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:05,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0093548Z [2022-11-23 01:26:05,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0093769Z [2022-11-23 01:26:05,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0094010Z [2022-11-23 01:26:05,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0094287Z [2022-11-23 01:26:05,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0094605Z [2022-11-23 01:26:05,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0094952Z [2022-11-23 01:26:05,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0095304Z [2022-11-23 01:26:05,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0095680Z [2022-11-23 01:26:05,471] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0095775Z 1972 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0095892Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:30:36.0095981Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0096071Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0096147Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0096235Z 10 BUILD_LIST 2 2022-11-23T01:30:36.0096322Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0096409Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0096498Z 16 BUILD_LIST 2 2022-11-23T01:30:36.0096583Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0096670Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0096742Z 22 BUILD_LIST 2 2022-11-23T01:30:36.0096830Z 24 CALL_METHOD 4 2022-11-23T01:30:36.0096909Z 26 RETURN_VALUE 2022-11-23T01:30:36.0096971Z 2022-11-23T01:30:36.0096976Z 2022-11-23T01:30:36.0097291Z [2022-11-23 01:26:05,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1972 2022-11-23T01:30:36.0097510Z [2022-11-23 01:26:05,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0097841Z [2022-11-23 01:26:05,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:36.0098121Z [2022-11-23 01:26:05,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:36.0098421Z [2022-11-23 01:26:05,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:36.0098765Z [2022-11-23 01:26:05,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0099151Z [2022-11-23 01:26:05,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0099484Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0099848Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0100286Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0100643Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0101089Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0101592Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0102025Z [2022-11-23 01:26:05,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0102272Z [2022-11-23 01:26:05,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0102651Z [2022-11-23 01:26:05,479] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0102895Z [2022-11-23 01:26:05,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0103116Z [2022-11-23 01:26:05,479] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0103370Z [2022-11-23 01:26:05,481] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0103623Z [2022-11-23 01:26:05,483] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0103813Z [2022-11-23 01:26:05,484] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0103949Z __compiled_fn_309 .2671 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0104041Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0104202Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {} 2022-11-23T01:30:36.0104421Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:36.0104639Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:30:36.0104738Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0104743Z 2022-11-23T01:30:36.0105068Z [2022-11-23 01:26:05,484] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0105164Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0105257Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0105345Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0105437Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0105522Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0105609Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0105672Z 12 RETURN_VALUE 2022-11-23T01:30:36.0105677Z 2022-11-23T01:30:36.0105737Z 2022-11-23T01:30:36.0106060Z [2022-11-23 01:26:05,484] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0106167Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_309) 2022-11-23T01:30:36.0106255Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0106347Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0106422Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0106533Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0106638Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0106741Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0106829Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0106906Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0107007Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0107095Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0107169Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0107244Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0107319Z 26 RETURN_VALUE 2022-11-23T01:30:36.0107324Z 2022-11-23T01:30:36.0107386Z 2022-11-23T01:30:36.0107568Z [2022-11-23 01:26:05,485] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0107666Z - 2022-11-23T01:30:36.0107783Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0107846Z { 2022-11-23T01:30:36.0107975Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0108159Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0108279Z 'obj_weakref': None 2022-11-23T01:30:36.0108504Z 'guarded_class': 2022-11-23T01:30:36.0108570Z } 2022-11-23T01:30:36.0108634Z 2022-11-23T01:30:36.0108702Z - 2022-11-23T01:30:36.0108812Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0108875Z { 2022-11-23T01:30:36.0109015Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0109120Z 'code': None, 2022-11-23T01:30:36.0109329Z 'obj_weakref': 2022-11-23T01:30:36.0109590Z 'guarded_class': 2022-11-23T01:30:36.0109655Z } 2022-11-23T01:30:36.0109708Z 2022-11-23T01:30:36.0109776Z - 2022-11-23T01:30:36.0109907Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0109972Z { 2022-11-23T01:30:36.0110106Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0110273Z 'code': ['___check_obj_id(model, 140534431826992)'], 2022-11-23T01:30:36.0110389Z 'obj_weakref': None 2022-11-23T01:30:36.0110605Z 'guarded_class': 2022-11-23T01:30:36.0110667Z } 2022-11-23T01:30:36.0110731Z 2022-11-23T01:30:36.0110798Z - 2022-11-23T01:30:36.0110918Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0110981Z { 2022-11-23T01:30:36.0111116Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0111322Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0111442Z 'obj_weakref': None 2022-11-23T01:30:36.0111670Z 'guarded_class': 2022-11-23T01:30:36.0111764Z } 2022-11-23T01:30:36.0111855Z 2022-11-23T01:30:36.0111953Z - 2022-11-23T01:30:36.0112122Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0112173Z { 2022-11-23T01:30:36.0112292Z 'guard_types': None, 2022-11-23T01:30:36.0112398Z 'code': None, 2022-11-23T01:30:36.0112515Z 'obj_weakref': None 2022-11-23T01:30:36.0112661Z 'guarded_class': None 2022-11-23T01:30:36.0112758Z } 2022-11-23T01:30:36.0112818Z 2022-11-23T01:30:36.0113080Z [2022-11-23 01:26:05,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302 2022-11-23T01:30:36.0113089Z 2022-11-23T01:30:36.0113184Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0113254Z import torch 2022-11-23T01:30:36.0113323Z import random 2022-11-23T01:30:36.0113508Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0113634Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0113639Z 2022-11-23T01:30:36.0113717Z aten = torch.ops.aten 2022-11-23T01:30:36.0113839Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0113931Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0113935Z 2022-11-23T01:30:36.0113940Z 2022-11-23T01:30:36.0114075Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0114282Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0114403Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0114503Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0114634Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.0114699Z { 2022-11-23T01:30:36.0114785Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0114848Z { 2022-11-23T01:30:36.0114925Z #pragma omp for 2022-11-23T01:30:36.0115006Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.0115069Z { 2022-11-23T01:30:36.0115148Z #pragma GCC ivdep 2022-11-23T01:30:36.0115231Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.0115282Z { 2022-11-23T01:30:36.0115346Z { 2022-11-23T01:30:36.0115413Z { 2022-11-23T01:30:36.0115587Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:30:36.0115689Z auto tmp1 = static_cast(0); 2022-11-23T01:30:36.0115783Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:36.0115883Z auto tmp3 = static_cast(8); 2022-11-23T01:30:36.0115967Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:36.0116059Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:36.0116231Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:30:36.0116325Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:30:36.0116417Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:30:36.0116507Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:30:36.0116600Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:30:36.0116839Z float tmp11 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0116916Z if(tmp10) 2022-11-23T01:30:36.0116985Z { 2022-11-23T01:30:36.0117158Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0117244Z tmp11 = tmp12; 2022-11-23T01:30:36.0117310Z } 2022-11-23T01:30:36.0117496Z auto tmp13 = static_cast((-9) + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0117591Z auto tmp14 = static_cast(2*i1); 2022-11-23T01:30:36.0117711Z auto tmp15 = tmp14 >= tmp1; 2022-11-23T01:30:36.0117806Z auto tmp16 = tmp14 < tmp3; 2022-11-23T01:30:36.0117899Z auto tmp17 = tmp15 & tmp16; 2022-11-23T01:30:36.0117990Z auto tmp18 = tmp5 & tmp17; 2022-11-23T01:30:36.0118207Z float tmp19 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0118283Z if(tmp18) 2022-11-23T01:30:36.0118350Z { 2022-11-23T01:30:36.0118509Z auto tmp20 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0118591Z tmp19 = tmp20; 2022-11-23T01:30:36.0118660Z } 2022-11-23T01:30:36.0118843Z auto tmp21 = static_cast((-8) + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0118941Z auto tmp22 = tmp19 > tmp11; 2022-11-23T01:30:36.0119042Z auto tmp23 = tmp22 ? tmp21 : tmp13; 2022-11-23T01:30:36.0119180Z auto tmp24 = std::max(tmp19, tmp11); 2022-11-23T01:30:36.0119279Z auto tmp25 = static_cast(1 + (2*i1)); 2022-11-23T01:30:36.0119374Z auto tmp26 = tmp25 >= tmp1; 2022-11-23T01:30:36.0119467Z auto tmp27 = tmp25 < tmp3; 2022-11-23T01:30:36.0119562Z auto tmp28 = tmp26 & tmp27; 2022-11-23T01:30:36.0119653Z auto tmp29 = tmp5 & tmp28; 2022-11-23T01:30:36.0119873Z float tmp30 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0119949Z if(tmp29) 2022-11-23T01:30:36.0120093Z { 2022-11-23T01:30:36.0120255Z auto tmp31 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0120373Z tmp30 = tmp31; 2022-11-23T01:30:36.0120442Z } 2022-11-23T01:30:36.0120631Z auto tmp32 = static_cast((-7) + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0120726Z auto tmp33 = tmp30 > tmp24; 2022-11-23T01:30:36.0120829Z auto tmp34 = tmp33 ? tmp32 : tmp23; 2022-11-23T01:30:36.0120938Z auto tmp35 = std::max(tmp30, tmp24); 2022-11-23T01:30:36.0121032Z auto tmp36 = static_cast(2*i0); 2022-11-23T01:30:36.0121126Z auto tmp37 = tmp36 >= tmp1; 2022-11-23T01:30:36.0121220Z auto tmp38 = tmp36 < tmp3; 2022-11-23T01:30:36.0121311Z auto tmp39 = tmp37 & tmp38; 2022-11-23T01:30:36.0121401Z auto tmp40 = tmp39 & tmp9; 2022-11-23T01:30:36.0121619Z float tmp41 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0121696Z if(tmp40) 2022-11-23T01:30:36.0121763Z { 2022-11-23T01:30:36.0121926Z auto tmp42 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0122013Z tmp41 = tmp42; 2022-11-23T01:30:36.0122081Z } 2022-11-23T01:30:36.0122262Z auto tmp43 = static_cast((-1) + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0122356Z auto tmp44 = tmp41 > tmp35; 2022-11-23T01:30:36.0122458Z auto tmp45 = tmp44 ? tmp43 : tmp34; 2022-11-23T01:30:36.0122565Z auto tmp46 = std::max(tmp41, tmp35); 2022-11-23T01:30:36.0122644Z auto tmp47 = tmp39 & tmp17; 2022-11-23T01:30:36.0122860Z float tmp48 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0122938Z if(tmp47) 2022-11-23T01:30:36.0123005Z { 2022-11-23T01:30:36.0123114Z auto tmp49 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:30:36.0123195Z tmp48 = tmp49; 2022-11-23T01:30:36.0123292Z } 2022-11-23T01:30:36.0123449Z auto tmp50 = static_cast((2*i1) + (16*i0)); 2022-11-23T01:30:36.0123578Z auto tmp51 = tmp48 > tmp46; 2022-11-23T01:30:36.0123700Z auto tmp52 = tmp51 ? tmp50 : tmp45; 2022-11-23T01:30:36.0123851Z auto tmp53 = std::max(tmp48, tmp46); 2022-11-23T01:30:36.0123945Z auto tmp54 = tmp39 & tmp28; 2022-11-23T01:30:36.0124166Z float tmp55 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0124240Z if(tmp54) 2022-11-23T01:30:36.0124309Z { 2022-11-23T01:30:36.0124402Z auto tmp56 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0124489Z tmp55 = tmp56; 2022-11-23T01:30:36.0124557Z } 2022-11-23T01:30:36.0124722Z auto tmp57 = static_cast(1 + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0124903Z auto tmp58 = tmp55 > tmp53; 2022-11-23T01:30:36.0125008Z auto tmp59 = tmp58 ? tmp57 : tmp52; 2022-11-23T01:30:36.0125118Z auto tmp60 = std::max(tmp55, tmp53); 2022-11-23T01:30:36.0125229Z auto tmp61 = static_cast(1 + (2*i0)); 2022-11-23T01:30:36.0125310Z auto tmp62 = tmp61 >= tmp1; 2022-11-23T01:30:36.0125405Z auto tmp63 = tmp61 < tmp3; 2022-11-23T01:30:36.0125498Z auto tmp64 = tmp62 & tmp63; 2022-11-23T01:30:36.0125590Z auto tmp65 = tmp64 & tmp9; 2022-11-23T01:30:36.0125811Z float tmp66 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0125940Z if(tmp65) 2022-11-23T01:30:36.0126009Z { 2022-11-23T01:30:36.0126103Z auto tmp67 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0126191Z tmp66 = tmp67; 2022-11-23T01:30:36.0126260Z } 2022-11-23T01:30:36.0126378Z auto tmp68 = static_cast(7 + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0126472Z auto tmp69 = tmp66 > tmp60; 2022-11-23T01:30:36.0126578Z auto tmp70 = tmp69 ? tmp68 : tmp59; 2022-11-23T01:30:36.0126687Z auto tmp71 = std::max(tmp66, tmp60); 2022-11-23T01:30:36.0126766Z auto tmp72 = tmp64 & tmp17; 2022-11-23T01:30:36.0126984Z float tmp73 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0127060Z if(tmp72) 2022-11-23T01:30:36.0127129Z { 2022-11-23T01:30:36.0127241Z auto tmp74 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0127326Z tmp73 = tmp74; 2022-11-23T01:30:36.0127397Z } 2022-11-23T01:30:36.0127514Z auto tmp75 = static_cast(8 + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0127594Z auto tmp76 = tmp73 > tmp71; 2022-11-23T01:30:36.0127697Z auto tmp77 = tmp76 ? tmp75 : tmp70; 2022-11-23T01:30:36.0127806Z auto tmp78 = std::max(tmp73, tmp71); 2022-11-23T01:30:36.0127901Z auto tmp79 = tmp64 & tmp28; 2022-11-23T01:30:36.0128117Z float tmp80 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0128193Z if(tmp79) 2022-11-23T01:30:36.0128261Z { 2022-11-23T01:30:36.0128354Z auto tmp81 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0128438Z tmp80 = tmp81; 2022-11-23T01:30:36.0128509Z } 2022-11-23T01:30:36.0128626Z auto tmp82 = static_cast(9 + (2*i1) + (16*i0)); 2022-11-23T01:30:36.0128723Z auto tmp83 = tmp80 > tmp78; 2022-11-23T01:30:36.0128827Z auto tmp84 = tmp83 ? tmp82 : tmp77; 2022-11-23T01:30:36.0128934Z auto tmp85 = std::max(tmp80, tmp78); 2022-11-23T01:30:36.0129149Z float tmp86 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0129212Z if(tmp10) 2022-11-23T01:30:36.0129279Z { 2022-11-23T01:30:36.0129452Z auto tmp87 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0129537Z tmp86 = tmp87; 2022-11-23T01:30:36.0129605Z } 2022-11-23T01:30:36.0129817Z float tmp88 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0129895Z if(tmp18) 2022-11-23T01:30:36.0129949Z { 2022-11-23T01:30:36.0130158Z auto tmp89 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0130242Z tmp88 = tmp89; 2022-11-23T01:30:36.0130310Z } 2022-11-23T01:30:36.0130405Z auto tmp90 = tmp88 > tmp86; 2022-11-23T01:30:36.0130507Z auto tmp91 = tmp90 ? tmp21 : tmp13; 2022-11-23T01:30:36.0130614Z auto tmp92 = std::max(tmp88, tmp86); 2022-11-23T01:30:36.0130829Z float tmp93 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0130891Z if(tmp29) 2022-11-23T01:30:36.0130959Z { 2022-11-23T01:30:36.0131130Z auto tmp94 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0131214Z tmp93 = tmp94; 2022-11-23T01:30:36.0131313Z } 2022-11-23T01:30:36.0131407Z auto tmp95 = tmp93 > tmp92; 2022-11-23T01:30:36.0131511Z auto tmp96 = tmp95 ? tmp32 : tmp91; 2022-11-23T01:30:36.0131603Z auto tmp97 = std::max(tmp93, tmp92); 2022-11-23T01:30:36.0131816Z float tmp98 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0131891Z if(tmp40) 2022-11-23T01:30:36.0131959Z { 2022-11-23T01:30:36.0132129Z auto tmp99 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0132212Z tmp98 = tmp99; 2022-11-23T01:30:36.0132279Z } 2022-11-23T01:30:36.0132374Z auto tmp100 = tmp98 > tmp97; 2022-11-23T01:30:36.0132465Z auto tmp101 = tmp100 ? tmp43 : tmp96; 2022-11-23T01:30:36.0132572Z auto tmp102 = std::max(tmp98, tmp97); 2022-11-23T01:30:36.0132792Z float tmp103 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0132868Z if(tmp47) 2022-11-23T01:30:36.0132938Z { 2022-11-23T01:30:36.0133047Z auto tmp104 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:30:36.0133133Z tmp103 = tmp104; 2022-11-23T01:30:36.0133187Z } 2022-11-23T01:30:36.0133284Z auto tmp105 = tmp103 > tmp102; 2022-11-23T01:30:36.0133390Z auto tmp106 = tmp105 ? tmp50 : tmp101; 2022-11-23T01:30:36.0133500Z auto tmp107 = std::max(tmp103, tmp102); 2022-11-23T01:30:36.0133718Z float tmp108 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0133794Z if(tmp54) 2022-11-23T01:30:36.0133862Z { 2022-11-23T01:30:36.0133970Z auto tmp109 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0134045Z tmp108 = tmp109; 2022-11-23T01:30:36.0134112Z } 2022-11-23T01:30:36.0134210Z auto tmp110 = tmp108 > tmp107; 2022-11-23T01:30:36.0134358Z auto tmp111 = tmp110 ? tmp57 : tmp106; 2022-11-23T01:30:36.0134507Z auto tmp112 = std::max(tmp108, tmp107); 2022-11-23T01:30:36.0134729Z float tmp113 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0134803Z if(tmp65) 2022-11-23T01:30:36.0134858Z { 2022-11-23T01:30:36.0134965Z auto tmp114 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0135050Z tmp113 = tmp114; 2022-11-23T01:30:36.0135118Z } 2022-11-23T01:30:36.0135217Z auto tmp115 = tmp113 > tmp112; 2022-11-23T01:30:36.0135320Z auto tmp116 = tmp115 ? tmp68 : tmp111; 2022-11-23T01:30:36.0135433Z auto tmp117 = std::max(tmp113, tmp112); 2022-11-23T01:30:36.0135687Z float tmp118 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0135752Z if(tmp72) 2022-11-23T01:30:36.0135821Z { 2022-11-23T01:30:36.0135928Z auto tmp119 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0136014Z tmp118 = tmp119; 2022-11-23T01:30:36.0136083Z } 2022-11-23T01:30:36.0136178Z auto tmp120 = tmp118 > tmp117; 2022-11-23T01:30:36.0136283Z auto tmp121 = tmp120 ? tmp75 : tmp116; 2022-11-23T01:30:36.0136377Z auto tmp122 = std::max(tmp118, tmp117); 2022-11-23T01:30:36.0136594Z float tmp123 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0136671Z if(tmp79) 2022-11-23T01:30:36.0136772Z { 2022-11-23T01:30:36.0136881Z auto tmp124 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:30:36.0136970Z tmp123 = tmp124; 2022-11-23T01:30:36.0137037Z } 2022-11-23T01:30:36.0137119Z auto tmp125 = tmp123 > tmp122; 2022-11-23T01:30:36.0137223Z auto tmp126 = tmp125 ? tmp82 : tmp121; 2022-11-23T01:30:36.0137331Z auto tmp127 = std::max(tmp123, tmp122); 2022-11-23T01:30:36.0137425Z out_ptr0[i1 + (4*i0)] = tmp85; 2022-11-23T01:30:36.0137520Z out_ptr1[i1 + (4*i0)] = tmp126; 2022-11-23T01:30:36.0137587Z } 2022-11-23T01:30:36.0137653Z } 2022-11-23T01:30:36.0137717Z } 2022-11-23T01:30:36.0137767Z } 2022-11-23T01:30:36.0137829Z } 2022-11-23T01:30:36.0137890Z } 2022-11-23T01:30:36.0137967Z ''') 2022-11-23T01:30:36.0137976Z 2022-11-23T01:30:36.0137980Z 2022-11-23T01:30:36.0138073Z async_compile.wait(globals()) 2022-11-23T01:30:36.0138145Z del async_compile 2022-11-23T01:30:36.0138150Z 2022-11-23T01:30:36.0138221Z def call(args): 2022-11-23T01:30:36.0138278Z arg0_1, = args 2022-11-23T01:30:36.0138349Z args.clear() 2022-11-23T01:30:36.0138563Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0138773Z buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0138939Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0139008Z del arg0_1 2022-11-23T01:30:36.0139086Z return (buf0, buf1, ) 2022-11-23T01:30:36.0139091Z 2022-11-23T01:30:36.0139095Z 2022-11-23T01:30:36.0139170Z if __name__ == "__main__": 2022-11-23T01:30:36.0139271Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0139393Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0139607Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0139718Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0140090Z [2022-11-23 01:26:07,098] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6z/c6z7witinhxzeen5sq45bramwtbnvtb52sk6wtkrmtn4vj7oxhlw.py 2022-11-23T01:30:36.0140357Z [2022-11-23 01:26:07,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302 2022-11-23T01:30:36.0140362Z 2022-11-23T01:30:36.0140429Z ok (1.632s) 2022-11-23T01:30:36.0140739Z test_max_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:26:07,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0141041Z [2022-11-23 01:26:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0141261Z [2022-11-23 01:26:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0141542Z [2022-11-23 01:26:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0141823Z [2022-11-23 01:26:07,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0142141Z [2022-11-23 01:26:07,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0142489Z [2022-11-23 01:26:07,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0142815Z [2022-11-23 01:26:07,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0143186Z [2022-11-23 01:26:07,105] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0143327Z 1982 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0143443Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:30:36.0143521Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0143609Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0143697Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0143785Z 10 BUILD_LIST 2 2022-11-23T01:30:36.0143872Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0143959Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0144044Z 16 BUILD_LIST 2 2022-11-23T01:30:36.0144116Z 18 LOAD_CONST 3 (0) 2022-11-23T01:30:36.0144203Z 20 LOAD_CONST 3 (0) 2022-11-23T01:30:36.0144291Z 22 BUILD_LIST 2 2022-11-23T01:30:36.0144375Z 24 LOAD_CONST 4 (1) 2022-11-23T01:30:36.0144464Z 26 LOAD_CONST 4 (1) 2022-11-23T01:30:36.0144549Z 28 BUILD_LIST 2 2022-11-23T01:30:36.0144640Z 30 LOAD_CONST 5 (True) 2022-11-23T01:30:36.0144712Z 32 CALL_METHOD 6 2022-11-23T01:30:36.0144789Z 34 RETURN_VALUE 2022-11-23T01:30:36.0144850Z 2022-11-23T01:30:36.0144855Z 2022-11-23T01:30:36.0145307Z [2022-11-23 01:26:07,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1982 2022-11-23T01:30:36.0145531Z [2022-11-23 01:26:07,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0145863Z [2022-11-23 01:26:07,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:36.0146144Z [2022-11-23 01:26:07,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:36.0146457Z [2022-11-23 01:26:07,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:36.0146803Z [2022-11-23 01:26:07,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0147184Z [2022-11-23 01:26:07,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0147515Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0147865Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0148315Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0148671Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0149059Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0149488Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0149896Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0150310Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0150762Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0151174Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0151626Z [2022-11-23 01:26:07,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0151873Z [2022-11-23 01:26:07,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0152250Z [2022-11-23 01:26:07,114] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0152494Z [2022-11-23 01:26:07,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0152727Z [2022-11-23 01:26:07,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0152967Z [2022-11-23 01:26:07,115] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0153220Z [2022-11-23 01:26:07,118] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0153409Z [2022-11-23 01:26:07,118] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0153542Z __compiled_fn_310 .2677 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0153632Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0153800Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {} 2022-11-23T01:30:36.0154018Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:36.0154236Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:30:36.0154336Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0154353Z 2022-11-23T01:30:36.0154664Z [2022-11-23 01:26:07,119] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0154789Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0154883Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0154969Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0155055Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0155147Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0155233Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0155309Z 12 RETURN_VALUE 2022-11-23T01:30:36.0155314Z 2022-11-23T01:30:36.0155375Z 2022-11-23T01:30:36.0155693Z [2022-11-23 01:26:07,119] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0155803Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_310) 2022-11-23T01:30:36.0155918Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0155994Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0156071Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0156159Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0156261Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0156362Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0156449Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0156524Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0156611Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0156698Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0156772Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0156860Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0156933Z 26 RETURN_VALUE 2022-11-23T01:30:36.0156938Z 2022-11-23T01:30:36.0156995Z 2022-11-23T01:30:36.0157178Z [2022-11-23 01:26:07,119] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0157237Z - 2022-11-23T01:30:36.0157355Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0157418Z { 2022-11-23T01:30:36.0157560Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0157744Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0157862Z 'obj_weakref': None 2022-11-23T01:30:36.0158086Z 'guarded_class': 2022-11-23T01:30:36.0158139Z } 2022-11-23T01:30:36.0158203Z 2022-11-23T01:30:36.0158272Z - 2022-11-23T01:30:36.0158393Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0158455Z { 2022-11-23T01:30:36.0158596Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0158701Z 'code': None, 2022-11-23T01:30:36.0158897Z 'obj_weakref': 2022-11-23T01:30:36.0159150Z 'guarded_class': 2022-11-23T01:30:36.0159215Z } 2022-11-23T01:30:36.0159278Z 2022-11-23T01:30:36.0159345Z - 2022-11-23T01:30:36.0159474Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0159537Z { 2022-11-23T01:30:36.0159657Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0159825Z 'code': ['___check_obj_id(model, 140534431842112)'], 2022-11-23T01:30:36.0159942Z 'obj_weakref': None 2022-11-23T01:30:36.0160261Z 'guarded_class': 2022-11-23T01:30:36.0160326Z } 2022-11-23T01:30:36.0160388Z 2022-11-23T01:30:36.0160457Z - 2022-11-23T01:30:36.0160565Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0160628Z { 2022-11-23T01:30:36.0160766Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0160979Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0161137Z 'obj_weakref': None 2022-11-23T01:30:36.0161358Z 'guarded_class': 2022-11-23T01:30:36.0161421Z } 2022-11-23T01:30:36.0161471Z 2022-11-23T01:30:36.0161538Z - 2022-11-23T01:30:36.0161668Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0161731Z { 2022-11-23T01:30:36.0161850Z 'guard_types': None, 2022-11-23T01:30:36.0161954Z 'code': None, 2022-11-23T01:30:36.0162069Z 'obj_weakref': None 2022-11-23T01:30:36.0162176Z 'guarded_class': None 2022-11-23T01:30:36.0162238Z } 2022-11-23T01:30:36.0162300Z 2022-11-23T01:30:36.0162559Z [2022-11-23 01:26:07,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303 2022-11-23T01:30:36.0162964Z [2022-11-23 01:26:08,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmeswgki4tw7n2f54ppceugo7w6rfzhl3ztqwovt5bye3tmciovy.py 2022-11-23T01:30:36.0163227Z [2022-11-23 01:26:08,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303 2022-11-23T01:30:36.0163232Z 2022-11-23T01:30:36.0163324Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0163392Z import torch 2022-11-23T01:30:36.0163447Z import random 2022-11-23T01:30:36.0163561Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0163684Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0163689Z 2022-11-23T01:30:36.0163765Z aten = torch.ops.aten 2022-11-23T01:30:36.0163897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0163990Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0163995Z 2022-11-23T01:30:36.0164001Z 2022-11-23T01:30:36.0164132Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0164336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0164446Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0164544Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0164639Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.0164700Z { 2022-11-23T01:30:36.0164892Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0164954Z { 2022-11-23T01:30:36.0165031Z #pragma omp for 2022-11-23T01:30:36.0165101Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.0165163Z { 2022-11-23T01:30:36.0165244Z #pragma GCC ivdep 2022-11-23T01:30:36.0165329Z for(long i1=0; i1<55; i1+=1) 2022-11-23T01:30:36.0165393Z { 2022-11-23T01:30:36.0165478Z #pragma GCC ivdep 2022-11-23T01:30:36.0165554Z for(long i2=0; i2<55; i2+=1) 2022-11-23T01:30:36.0165620Z { 2022-11-23T01:30:36.0165686Z { 2022-11-23T01:30:36.0165755Z { 2022-11-23T01:30:36.0165872Z auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0165987Z auto tmp2 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166097Z auto tmp7 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166212Z auto tmp12 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166312Z auto tmp17 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166425Z auto tmp22 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166537Z auto tmp27 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166647Z auto tmp32 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166760Z auto tmp37 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:30:36.0166930Z auto tmp1 = static_cast((2*i2) + (222*i1)); 2022-11-23T01:30:36.0167049Z auto tmp3 = static_cast(1 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0167144Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:30:36.0167234Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:30:36.0167353Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.0167469Z auto tmp8 = static_cast(2 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0167564Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:30:36.0167667Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:30:36.0167777Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:30:36.0167932Z auto tmp13 = static_cast(111 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0168031Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:30:36.0168124Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:30:36.0168235Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:30:36.0168354Z auto tmp18 = static_cast(112 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0168450Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:30:36.0168554Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:30:36.0168662Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:30:36.0168782Z auto tmp23 = static_cast(113 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0168879Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:30:36.0168973Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:30:36.0169082Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:30:36.0169200Z auto tmp28 = static_cast(222 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0169297Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:30:36.0169401Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:30:36.0169509Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:30:36.0169626Z auto tmp33 = static_cast(223 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0169723Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:30:36.0169811Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:30:36.0169918Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:30:36.0170036Z auto tmp38 = static_cast(224 + (2*i2) + (222*i1)); 2022-11-23T01:30:36.0170136Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:30:36.0170238Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:30:36.0170345Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:30:36.0170450Z out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp41; 2022-11-23T01:30:36.0170541Z out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp40; 2022-11-23T01:30:36.0170609Z } 2022-11-23T01:30:36.0170676Z } 2022-11-23T01:30:36.0170740Z } 2022-11-23T01:30:36.0170807Z } 2022-11-23T01:30:36.0170870Z } 2022-11-23T01:30:36.0170932Z } 2022-11-23T01:30:36.0170980Z } 2022-11-23T01:30:36.0171061Z ''') 2022-11-23T01:30:36.0171066Z 2022-11-23T01:30:36.0171070Z 2022-11-23T01:30:36.0171160Z async_compile.wait(globals()) 2022-11-23T01:30:36.0171233Z del async_compile 2022-11-23T01:30:36.0171240Z 2022-11-23T01:30:36.0171310Z def call(args): 2022-11-23T01:30:36.0171379Z arg0_1, = args 2022-11-23T01:30:36.0171450Z args.clear() 2022-11-23T01:30:36.0171691Z buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0171910Z buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0172074Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0172144Z del arg0_1 2022-11-23T01:30:36.0172221Z return (buf0, buf1, ) 2022-11-23T01:30:36.0172225Z 2022-11-23T01:30:36.0172229Z 2022-11-23T01:30:36.0172305Z if __name__ == "__main__": 2022-11-23T01:30:36.0172420Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0172542Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0172768Z arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0172896Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0172901Z 2022-11-23T01:30:36.0172970Z ok (1.630s) 2022-11-23T01:30:36.0173283Z test_max_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0173599Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0173818Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0174071Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0174346Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0174663Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0175010Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0175321Z [2022-11-23 01:26:08,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0175697Z [2022-11-23 01:26:08,766] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0175792Z 1991 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0175908Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:30:36.0175999Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0176087Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0176178Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0176265Z 10 BUILD_LIST 2 2022-11-23T01:30:36.0176339Z 12 BUILD_LIST 0 2022-11-23T01:30:36.0176425Z 14 CALL_METHOD 3 2022-11-23T01:30:36.0176501Z 16 RETURN_VALUE 2022-11-23T01:30:36.0176561Z 2022-11-23T01:30:36.0176566Z 2022-11-23T01:30:36.0176877Z [2022-11-23 01:26:08,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1991 2022-11-23T01:30:36.0177091Z [2022-11-23 01:26:08,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0177420Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:36.0177697Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:36.0178035Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:36.0178367Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0178749Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0179079Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0179432Z [2022-11-23 01:26:08,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0179710Z [2022-11-23 01:26:08,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0180086Z [2022-11-23 01:26:08,774] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0180328Z [2022-11-23 01:26:08,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0180560Z [2022-11-23 01:26:08,774] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0180809Z [2022-11-23 01:26:08,775] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0181058Z [2022-11-23 01:26:08,780] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0181244Z [2022-11-23 01:26:08,780] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0181367Z __compiled_fn_311 .2683 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0181456Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0181611Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {} 2022-11-23T01:30:36.0181828Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:36.0182046Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:30:36.0182159Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0182165Z 2022-11-23T01:30:36.0182488Z [2022-11-23 01:26:08,780] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0182582Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0182659Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0182748Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0182841Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0182931Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0183019Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0183094Z 12 RETURN_VALUE 2022-11-23T01:30:36.0183099Z 2022-11-23T01:30:36.0183158Z 2022-11-23T01:30:36.0183480Z [2022-11-23 01:26:08,780] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0183577Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_311) 2022-11-23T01:30:36.0183666Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0183756Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0183833Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0183920Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0184022Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0184124Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0184201Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0184312Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0184415Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0184503Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0184577Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0184663Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0184737Z 26 RETURN_VALUE 2022-11-23T01:30:36.0184741Z 2022-11-23T01:30:36.0184799Z 2022-11-23T01:30:36.0184971Z [2022-11-23 01:26:08,781] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0185041Z - 2022-11-23T01:30:36.0185161Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0185226Z { 2022-11-23T01:30:36.0185365Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0185553Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0185713Z 'obj_weakref': None 2022-11-23T01:30:36.0185929Z 'guarded_class': 2022-11-23T01:30:36.0185994Z } 2022-11-23T01:30:36.0186057Z 2022-11-23T01:30:36.0186125Z - 2022-11-23T01:30:36.0186246Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0186308Z { 2022-11-23T01:30:36.0186437Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0186542Z 'code': None, 2022-11-23T01:30:36.0186754Z 'obj_weakref': 2022-11-23T01:30:36.0187004Z 'guarded_class': 2022-11-23T01:30:36.0187068Z } 2022-11-23T01:30:36.0187130Z 2022-11-23T01:30:36.0187197Z - 2022-11-23T01:30:36.0187317Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0187379Z { 2022-11-23T01:30:36.0187511Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0187683Z 'code': ['___check_obj_id(model, 140534620135072)'], 2022-11-23T01:30:36.0187801Z 'obj_weakref': None 2022-11-23T01:30:36.0188030Z 'guarded_class': 2022-11-23T01:30:36.0188093Z } 2022-11-23T01:30:36.0188156Z 2022-11-23T01:30:36.0188211Z - 2022-11-23T01:30:36.0188332Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0188395Z { 2022-11-23T01:30:36.0188529Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0188743Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0188859Z 'obj_weakref': None 2022-11-23T01:30:36.0189078Z 'guarded_class': 2022-11-23T01:30:36.0189131Z } 2022-11-23T01:30:36.0189192Z 2022-11-23T01:30:36.0189260Z - 2022-11-23T01:30:36.0189393Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0189455Z { 2022-11-23T01:30:36.0189573Z 'guard_types': None, 2022-11-23T01:30:36.0189666Z 'code': None, 2022-11-23T01:30:36.0189780Z 'obj_weakref': None 2022-11-23T01:30:36.0189901Z 'guarded_class': None 2022-11-23T01:30:36.0189963Z } 2022-11-23T01:30:36.0190026Z 2022-11-23T01:30:36.0190283Z [2022-11-23 01:26:08,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304 2022-11-23T01:30:36.0190651Z [2022-11-23 01:26:10,370] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d6/cd63ifqnqxq2aeqrfl5l6qr2fiod75w4eqf2by3kruuidjg5t64z.py 2022-11-23T01:30:36.0190912Z [2022-11-23 01:26:10,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304 2022-11-23T01:30:36.0190921Z 2022-11-23T01:30:36.0191002Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0191100Z import torch 2022-11-23T01:30:36.0191171Z import random 2022-11-23T01:30:36.0191285Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0191406Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0191411Z 2022-11-23T01:30:36.0191488Z aten = torch.ops.aten 2022-11-23T01:30:36.0191622Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0191700Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0191717Z 2022-11-23T01:30:36.0191721Z 2022-11-23T01:30:36.0191841Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0192048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0192166Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0192296Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0192393Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.0192453Z { 2022-11-23T01:30:36.0192554Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0192603Z { 2022-11-23T01:30:36.0192680Z #pragma omp for 2022-11-23T01:30:36.0192761Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:36.0192824Z { 2022-11-23T01:30:36.0192903Z #pragma GCC ivdep 2022-11-23T01:30:36.0192987Z for(long i1=0; i1<18; i1+=1) 2022-11-23T01:30:36.0193049Z { 2022-11-23T01:30:36.0193118Z #pragma GCC ivdep 2022-11-23T01:30:36.0193206Z for(long i2=0; i2<18; i2+=1) 2022-11-23T01:30:36.0193272Z { 2022-11-23T01:30:36.0193338Z { 2022-11-23T01:30:36.0193406Z { 2022-11-23T01:30:36.0193519Z auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0193636Z auto tmp2 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0193734Z auto tmp7 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0193851Z auto tmp12 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0193960Z auto tmp17 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0194067Z auto tmp22 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0194180Z auto tmp27 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0194293Z auto tmp32 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0194406Z auto tmp37 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:30:36.0194520Z auto tmp1 = static_cast((3*i2) + (165*i1)); 2022-11-23T01:30:36.0194624Z auto tmp3 = static_cast(1 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0194721Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:30:36.0194825Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:30:36.0194937Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.0195053Z auto tmp8 = static_cast(2 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0195148Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:30:36.0195249Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:30:36.0195356Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:30:36.0195462Z auto tmp13 = static_cast(55 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0195559Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:30:36.0195665Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:30:36.0195778Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:30:36.0195895Z auto tmp18 = static_cast(56 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0196022Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:30:36.0196126Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:30:36.0196234Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:30:36.0196338Z auto tmp23 = static_cast(57 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0196431Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:30:36.0196530Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:30:36.0196639Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:30:36.0196756Z auto tmp28 = static_cast(110 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0196851Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:30:36.0196982Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:30:36.0197090Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:30:36.0197198Z auto tmp33 = static_cast(111 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0197294Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:30:36.0197395Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:30:36.0197504Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:30:36.0197620Z auto tmp38 = static_cast(112 + (3*i2) + (165*i1)); 2022-11-23T01:30:36.0197715Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:30:36.0197817Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:30:36.0197925Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:30:36.0198021Z out_ptr0[i2 + (18*i1) + (324*i0)] = tmp41; 2022-11-23T01:30:36.0198122Z out_ptr1[i2 + (18*i1) + (324*i0)] = tmp40; 2022-11-23T01:30:36.0198191Z } 2022-11-23T01:30:36.0198258Z } 2022-11-23T01:30:36.0198322Z } 2022-11-23T01:30:36.0198385Z } 2022-11-23T01:30:36.0198446Z } 2022-11-23T01:30:36.0198495Z } 2022-11-23T01:30:36.0198554Z } 2022-11-23T01:30:36.0198636Z ''') 2022-11-23T01:30:36.0198640Z 2022-11-23T01:30:36.0198645Z 2022-11-23T01:30:36.0198736Z async_compile.wait(globals()) 2022-11-23T01:30:36.0198806Z del async_compile 2022-11-23T01:30:36.0198811Z 2022-11-23T01:30:36.0198880Z def call(args): 2022-11-23T01:30:36.0198948Z arg0_1, = args 2022-11-23T01:30:36.0199006Z args.clear() 2022-11-23T01:30:36.0199227Z buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0199443Z buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0199612Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0199682Z del arg0_1 2022-11-23T01:30:36.0199759Z return (buf0, buf1, ) 2022-11-23T01:30:36.0199764Z 2022-11-23T01:30:36.0199768Z 2022-11-23T01:30:36.0199841Z if __name__ == "__main__": 2022-11-23T01:30:36.0199954Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0200162Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0200393Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0200500Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0200505Z 2022-11-23T01:30:36.0200574Z ok (1.646s) 2022-11-23T01:30:36.0200887Z test_max_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:26:10,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0201206Z [2022-11-23 01:26:10,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0201464Z [2022-11-23 01:26:10,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0201721Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0201997Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0202301Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0202644Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0202967Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0203399Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0203495Z 2001 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0203612Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:30:36.0203703Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0203794Z 6 LOAD_CONST 1 (13) 2022-11-23T01:30:36.0203882Z 8 LOAD_CONST 1 (13) 2022-11-23T01:30:36.0203957Z 10 BUILD_LIST 2 2022-11-23T01:30:36.0204042Z 12 BUILD_LIST 0 2022-11-23T01:30:36.0204126Z 14 CALL_METHOD 3 2022-11-23T01:30:36.0204203Z 16 RETURN_VALUE 2022-11-23T01:30:36.0204265Z 2022-11-23T01:30:36.0204270Z 2022-11-23T01:30:36.0204587Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2001 2022-11-23T01:30:36.0204920Z [2022-11-23 01:26:10,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0205255Z [2022-11-23 01:26:10,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:30:36.0205517Z [2022-11-23 01:26:10,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:30:36.0205830Z [2022-11-23 01:26:10,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:30:36.0206180Z [2022-11-23 01:26:10,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0206566Z [2022-11-23 01:26:10,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0206896Z [2022-11-23 01:26:10,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0207258Z [2022-11-23 01:26:10,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0207502Z [2022-11-23 01:26:10,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0207878Z [2022-11-23 01:26:10,406] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0208170Z [2022-11-23 01:26:10,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0208406Z [2022-11-23 01:26:10,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0208659Z [2022-11-23 01:26:10,408] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0208895Z [2022-11-23 01:26:10,410] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0209082Z [2022-11-23 01:26:10,411] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0209216Z __compiled_fn_312 .2689 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0209305Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0209463Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {} 2022-11-23T01:30:36.0209721Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:30:36.0209944Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:30:36.0210058Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0210064Z 2022-11-23T01:30:36.0210387Z [2022-11-23 01:26:10,411] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0210467Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0210556Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0210643Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0210736Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0210822Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0210911Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0210986Z 12 RETURN_VALUE 2022-11-23T01:30:36.0210994Z 2022-11-23T01:30:36.0211041Z 2022-11-23T01:30:36.0211367Z [2022-11-23 01:26:10,411] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0211475Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_312) 2022-11-23T01:30:36.0211565Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0211657Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0211733Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0211821Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0211921Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0212009Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0212097Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0212173Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0212275Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0212364Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0212439Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0212527Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0212589Z 26 RETURN_VALUE 2022-11-23T01:30:36.0212594Z 2022-11-23T01:30:36.0212652Z 2022-11-23T01:30:36.0212833Z [2022-11-23 01:26:10,412] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0212903Z - 2022-11-23T01:30:36.0213021Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0213085Z { 2022-11-23T01:30:36.0213226Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0213400Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0213519Z 'obj_weakref': None 2022-11-23T01:30:36.0213744Z 'guarded_class': 2022-11-23T01:30:36.0213811Z } 2022-11-23T01:30:36.0213878Z 2022-11-23T01:30:36.0213946Z - 2022-11-23T01:30:36.0214068Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0214118Z { 2022-11-23T01:30:36.0214305Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0214415Z 'code': None, 2022-11-23T01:30:36.0214630Z 'obj_weakref': 2022-11-23T01:30:36.0214881Z 'guarded_class': 2022-11-23T01:30:36.0214944Z } 2022-11-23T01:30:36.0215009Z 2022-11-23T01:30:36.0215066Z - 2022-11-23T01:30:36.0215196Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0215260Z { 2022-11-23T01:30:36.0215393Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0215560Z 'code': ['___check_obj_id(model, 140534620137232)'], 2022-11-23T01:30:36.0215678Z 'obj_weakref': None 2022-11-23T01:30:36.0215941Z 'guarded_class': 2022-11-23T01:30:36.0215993Z } 2022-11-23T01:30:36.0216059Z 2022-11-23T01:30:36.0216129Z - 2022-11-23T01:30:36.0216250Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0216313Z { 2022-11-23T01:30:36.0216473Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0216690Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0216794Z 'obj_weakref': None 2022-11-23T01:30:36.0217018Z 'guarded_class': 2022-11-23T01:30:36.0217081Z } 2022-11-23T01:30:36.0217143Z 2022-11-23T01:30:36.0217210Z - 2022-11-23T01:30:36.0217339Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0217401Z { 2022-11-23T01:30:36.0217510Z 'guard_types': None, 2022-11-23T01:30:36.0217616Z 'code': None, 2022-11-23T01:30:36.0217732Z 'obj_weakref': None 2022-11-23T01:30:36.0217853Z 'guarded_class': None 2022-11-23T01:30:36.0217915Z } 2022-11-23T01:30:36.0217976Z 2022-11-23T01:30:36.0218235Z [2022-11-23 01:26:10,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305 2022-11-23T01:30:36.0218469Z [2022-11-23 01:26:10,418] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices 2022-11-23T01:30:36.0218836Z [2022-11-23 01:26:10,421] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ss/cssf4bffopjz4oe5yzaesenr6nusgplbxu3f2lwtm5ob6wfvv4xt.py 2022-11-23T01:30:36.0219097Z [2022-11-23 01:26:10,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305 2022-11-23T01:30:36.0219103Z 2022-11-23T01:30:36.0219196Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0219268Z import torch 2022-11-23T01:30:36.0219336Z import random 2022-11-23T01:30:36.0219449Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0219570Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0219574Z 2022-11-23T01:30:36.0219639Z aten = torch.ops.aten 2022-11-23T01:30:36.0219771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0219861Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0219866Z 2022-11-23T01:30:36.0219870Z 2022-11-23T01:30:36.0219956Z async_compile.wait(globals()) 2022-11-23T01:30:36.0220027Z del async_compile 2022-11-23T01:30:36.0220031Z 2022-11-23T01:30:36.0220101Z def call(args): 2022-11-23T01:30:36.0220169Z arg0_1, = args 2022-11-23T01:30:36.0220240Z args.clear() 2022-11-23T01:30:36.0220358Z buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False) 2022-11-23T01:30:36.0220424Z del arg0_1 2022-11-23T01:30:36.0220491Z buf1 = buf0[0] 2022-11-23T01:30:36.0220600Z assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1)) 2022-11-23T01:30:36.0220667Z buf2 = buf0[1] 2022-11-23T01:30:36.0220803Z assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1)) 2022-11-23T01:30:36.0220868Z del buf0 2022-11-23T01:30:36.0220933Z return (buf1, buf2, ) 2022-11-23T01:30:36.0220938Z 2022-11-23T01:30:36.0220942Z 2022-11-23T01:30:36.0221017Z if __name__ == "__main__": 2022-11-23T01:30:36.0221130Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0221252Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0221480Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0221585Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0221590Z 2022-11-23T01:30:36.0221655Z ok (0.049s) 2022-11-23T01:30:36.0222000Z test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0222335Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0222553Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0222805Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0223083Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0223401Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0223747Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0224073Z [2022-11-23 01:26:10,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0224448Z [2022-11-23 01:26:10,429] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0224543Z 3933 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0224669Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:30:36.0224675Z 2022-11-23T01:30:36.0224764Z 3934 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0224840Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0224926Z 8 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0225013Z 10 LOAD_CONST 1 (3) 2022-11-23T01:30:36.0225099Z 12 BUILD_LIST 2 2022-11-23T01:30:36.0225186Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0225271Z 16 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0225357Z 18 BUILD_LIST 2 2022-11-23T01:30:36.0225431Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0225514Z 22 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0225598Z 24 BUILD_LIST 2 2022-11-23T01:30:36.0225683Z 26 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0225766Z 28 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0225849Z 30 BUILD_LIST 2 2022-11-23T01:30:36.0225939Z 32 LOAD_CONST 4 (True) 2022-11-23T01:30:36.0226011Z 34 LOAD_FAST 2 (c) 2022-11-23T01:30:36.0226015Z 2022-11-23T01:30:36.0226100Z 3933 36 CALL_METHOD 8 2022-11-23T01:30:36.0226174Z 38 RETURN_VALUE 2022-11-23T01:30:36.0226234Z 2022-11-23T01:30:36.0226241Z 2022-11-23T01:30:36.0226556Z [2022-11-23 01:26:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933 2022-11-23T01:30:36.0226803Z [2022-11-23 01:26:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0227154Z [2022-11-23 01:26:10,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:30:36.0227468Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3934 2022-11-23T01:30:36.0227760Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:30:36.0228067Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:30:36.0228466Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0228855Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0229275Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0229649Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0230057Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0230511Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0230908Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0231342Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0231811Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0232239Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0232694Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0233191Z [2022-11-23 01:26:10,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0233670Z [2022-11-23 01:26:10,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0234157Z [2022-11-23 01:26:10,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0234468Z [2022-11-23 01:26:10,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933 2022-11-23T01:30:36.0234989Z [2022-11-23 01:26:10,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:30:36.0235266Z [2022-11-23 01:26:10,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0235640Z [2022-11-23 01:26:10,437] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0235886Z [2022-11-23 01:26:10,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0236119Z [2022-11-23 01:26:10,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0236373Z [2022-11-23 01:26:10,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0236619Z [2022-11-23 01:26:10,441] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0236806Z [2022-11-23 01:26:10,441] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0236942Z __compiled_fn_313 .2695 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0237032Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0237119Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0237192Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.0237388Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {} 2022-11-23T01:30:36.0237519Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:30:36.0237525Z 2022-11-23T01:30:36.0237846Z [2022-11-23 01:26:10,442] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0237939Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0238027Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0238113Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0238206Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0238278Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0238368Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0238444Z 12 RETURN_VALUE 2022-11-23T01:30:36.0238449Z 2022-11-23T01:30:36.0238509Z 2022-11-23T01:30:36.0238828Z [2022-11-23 01:26:10,442] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0238935Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_313) 2022-11-23T01:30:36.0239025Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0239113Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0239177Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0239263Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0239349Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0239426Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0239512Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0239595Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0239701Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.0239777Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.0239865Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0239939Z 24 RETURN_VALUE 2022-11-23T01:30:36.0239944Z 2022-11-23T01:30:36.0240072Z 2022-11-23T01:30:36.0240261Z [2022-11-23 01:26:10,442] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0240330Z - 2022-11-23T01:30:36.0240449Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0240500Z { 2022-11-23T01:30:36.0240640Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0240825Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.0240944Z 'obj_weakref': None 2022-11-23T01:30:36.0241206Z 'guarded_class': 2022-11-23T01:30:36.0241272Z } 2022-11-23T01:30:36.0241335Z 2022-11-23T01:30:36.0241393Z - 2022-11-23T01:30:36.0241517Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0241581Z { 2022-11-23T01:30:36.0241722Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0241828Z 'code': None, 2022-11-23T01:30:36.0242037Z 'obj_weakref': 2022-11-23T01:30:36.0242290Z 'guarded_class': 2022-11-23T01:30:36.0242341Z } 2022-11-23T01:30:36.0242404Z 2022-11-23T01:30:36.0242472Z - 2022-11-23T01:30:36.0242595Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0242658Z { 2022-11-23T01:30:36.0242798Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0242904Z 'code': None, 2022-11-23T01:30:36.0243097Z 'obj_weakref': 2022-11-23T01:30:36.0243349Z 'guarded_class': 2022-11-23T01:30:36.0243411Z } 2022-11-23T01:30:36.0243474Z 2022-11-23T01:30:36.0243542Z - 2022-11-23T01:30:36.0243663Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.0243727Z { 2022-11-23T01:30:36.0243854Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0243957Z 'code': None, 2022-11-23T01:30:36.0244166Z 'obj_weakref': 2022-11-23T01:30:36.0244413Z 'guarded_class': 2022-11-23T01:30:36.0244476Z } 2022-11-23T01:30:36.0244540Z 2022-11-23T01:30:36.0244608Z - 2022-11-23T01:30:36.0244725Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0244935Z { 2022-11-23T01:30:36.0245075Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0245244Z 'code': ['___check_obj_id(model, 140534431826992)'], 2022-11-23T01:30:36.0245361Z 'obj_weakref': None 2022-11-23T01:30:36.0245592Z 'guarded_class': 2022-11-23T01:30:36.0245656Z } 2022-11-23T01:30:36.0245706Z 2022-11-23T01:30:36.0245773Z - 2022-11-23T01:30:36.0245893Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0245956Z { 2022-11-23T01:30:36.0246091Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0246309Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0246428Z 'obj_weakref': None 2022-11-23T01:30:36.0246641Z 'guarded_class': 2022-11-23T01:30:36.0246705Z } 2022-11-23T01:30:36.0246815Z 2022-11-23T01:30:36.0246884Z - 2022-11-23T01:30:36.0247015Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0247078Z { 2022-11-23T01:30:36.0247197Z 'guard_types': None, 2022-11-23T01:30:36.0247290Z 'code': None, 2022-11-23T01:30:36.0247407Z 'obj_weakref': None 2022-11-23T01:30:36.0247526Z 'guarded_class': None 2022-11-23T01:30:36.0247589Z } 2022-11-23T01:30:36.0247651Z 2022-11-23T01:30:36.0247912Z [2022-11-23 01:26:10,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306 2022-11-23T01:30:36.0248283Z [2022-11-23 01:26:12,012] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ny/cnybvilsvmhqsfaua2zrg4yjxaqlu4rsy4skfsswlswcshappzkf.py 2022-11-23T01:30:36.0248571Z [2022-11-23 01:26:12,012] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306 2022-11-23T01:30:36.0248591Z 2022-11-23T01:30:36.0248675Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0248745Z import torch 2022-11-23T01:30:36.0248816Z import random 2022-11-23T01:30:36.0248929Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0249050Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0249056Z 2022-11-23T01:30:36.0249133Z aten = torch.ops.aten 2022-11-23T01:30:36.0249267Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0249346Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0249351Z 2022-11-23T01:30:36.0249355Z 2022-11-23T01:30:36.0249489Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0249694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0249813Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.0249922Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0250024Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0250089Z { 2022-11-23T01:30:36.0250186Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0250235Z { 2022-11-23T01:30:36.0250312Z #pragma omp for 2022-11-23T01:30:36.0250395Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0250458Z { 2022-11-23T01:30:36.0250539Z #pragma GCC ivdep 2022-11-23T01:30:36.0250624Z for(long i1=0; i1<40; i1+=1) 2022-11-23T01:30:36.0250674Z { 2022-11-23T01:30:36.0250756Z #pragma GCC ivdep 2022-11-23T01:30:36.0250845Z for(long i2=0; i2<56; i2+=1) 2022-11-23T01:30:36.0250912Z { 2022-11-23T01:30:36.0250978Z { 2022-11-23T01:30:36.0251046Z { 2022-11-23T01:30:36.0251160Z auto tmp0 = static_cast(i2 + (56*i1)); 2022-11-23T01:30:36.0251261Z auto tmp1 = static_cast((i1 / 2)); 2022-11-23T01:30:36.0251370Z auto tmp2 = static_cast((i2 / 2)); 2022-11-23T01:30:36.0251487Z auto tmp3 = static_cast(1 + (((1 + i1) / 2))); 2022-11-23T01:30:36.0251602Z auto tmp4 = static_cast(1 + (((1 + i2) / 2))); 2022-11-23T01:30:36.0251707Z auto tmp5 = static_cast(0); 2022-11-23T01:30:36.0251825Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:30:36.0251930Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:30:36.0252032Z auto tmp8 = static_cast(21); 2022-11-23T01:30:36.0252122Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:30:36.0252227Z auto tmp10 = static_cast(29); 2022-11-23T01:30:36.0252340Z auto tmp11 = std::min(tmp4, tmp10); 2022-11-23T01:30:36.0252435Z auto tmp12 = tmp6 + tmp5; 2022-11-23T01:30:36.0252559Z auto tmp13 = tmp7 + tmp5; 2022-11-23T01:30:36.0252663Z auto tmp14 = static_cast(1); 2022-11-23T01:30:36.0252812Z auto tmp15 = tmp9 - tmp14; 2022-11-23T01:30:36.0252921Z auto tmp16 = std::min(tmp12, tmp15); 2022-11-23T01:30:36.0253056Z auto tmp17 = tmp11 - tmp14; 2022-11-23T01:30:36.0253164Z auto tmp18 = std::min(tmp13, tmp17); 2022-11-23T01:30:36.0253282Z auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)]; 2022-11-23T01:30:36.0253398Z auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)]; 2022-11-23T01:30:36.0253496Z auto tmp21 = tmp19 == tmp0; 2022-11-23T01:30:36.0253638Z auto tmp22 = static_cast(0.0); 2022-11-23T01:30:36.0253742Z auto tmp23 = tmp21 ? tmp20 : tmp22; 2022-11-23T01:30:36.0253840Z auto tmp24 = tmp7 + tmp14; 2022-11-23T01:30:36.0253936Z auto tmp25 = std::min(tmp24, tmp17); 2022-11-23T01:30:36.0254052Z auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)]; 2022-11-23T01:30:36.0254168Z auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)]; 2022-11-23T01:30:36.0254266Z auto tmp28 = tmp26 == tmp0; 2022-11-23T01:30:36.0254362Z auto tmp29 = tmp12 < tmp9; 2022-11-23T01:30:36.0254457Z auto tmp30 = tmp24 < tmp11; 2022-11-23T01:30:36.0254552Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:30:36.0254633Z auto tmp32 = tmp31 & tmp28; 2022-11-23T01:30:36.0254727Z auto tmp33 = tmp23 + tmp27; 2022-11-23T01:30:36.0254833Z auto tmp34 = tmp32 ? tmp33 : tmp23; 2022-11-23T01:30:36.0254931Z auto tmp35 = tmp6 + tmp14; 2022-11-23T01:30:36.0255040Z auto tmp36 = std::min(tmp35, tmp15); 2022-11-23T01:30:36.0255156Z auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)]; 2022-11-23T01:30:36.0255270Z auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)]; 2022-11-23T01:30:36.0255364Z auto tmp39 = tmp37 == tmp0; 2022-11-23T01:30:36.0255446Z auto tmp40 = tmp35 < tmp9; 2022-11-23T01:30:36.0255541Z auto tmp41 = tmp13 < tmp11; 2022-11-23T01:30:36.0255635Z auto tmp42 = tmp40 & tmp41; 2022-11-23T01:30:36.0255730Z auto tmp43 = tmp42 & tmp39; 2022-11-23T01:30:36.0255822Z auto tmp44 = tmp34 + tmp38; 2022-11-23T01:30:36.0255929Z auto tmp45 = tmp43 ? tmp44 : tmp34; 2022-11-23T01:30:36.0256046Z auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)]; 2022-11-23T01:30:36.0256161Z auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)]; 2022-11-23T01:30:36.0256242Z auto tmp48 = tmp46 == tmp0; 2022-11-23T01:30:36.0256335Z auto tmp49 = tmp40 & tmp30; 2022-11-23T01:30:36.0256431Z auto tmp50 = tmp49 & tmp48; 2022-11-23T01:30:36.0256528Z auto tmp51 = tmp45 + tmp47; 2022-11-23T01:30:36.0256631Z auto tmp52 = tmp50 ? tmp51 : tmp45; 2022-11-23T01:30:36.0256735Z out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52; 2022-11-23T01:30:36.0256803Z } 2022-11-23T01:30:36.0256857Z } 2022-11-23T01:30:36.0256922Z } 2022-11-23T01:30:36.0256987Z } 2022-11-23T01:30:36.0257054Z } 2022-11-23T01:30:36.0257116Z } 2022-11-23T01:30:36.0257175Z } 2022-11-23T01:30:36.0257240Z ''') 2022-11-23T01:30:36.0257257Z 2022-11-23T01:30:36.0257291Z 2022-11-23T01:30:36.0257370Z async_compile.wait(globals()) 2022-11-23T01:30:36.0257442Z del async_compile 2022-11-23T01:30:36.0257447Z 2022-11-23T01:30:36.0257519Z def call(args): 2022-11-23T01:30:36.0257600Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.0257671Z args.clear() 2022-11-23T01:30:36.0257893Z buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0258058Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0258113Z del arg0_1 2022-11-23T01:30:36.0258180Z del arg2_1 2022-11-23T01:30:36.0258250Z return (buf0, ) 2022-11-23T01:30:36.0258254Z 2022-11-23T01:30:36.0258258Z 2022-11-23T01:30:36.0258334Z if __name__ == "__main__": 2022-11-23T01:30:36.0258477Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0258599Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0258821Z arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0259038Z arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0259241Z arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0259363Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.0259367Z 2022-11-23T01:30:36.0259432Z ok (1.590s) 2022-11-23T01:30:36.0259776Z test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0260095Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0260315Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0260570Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0260846Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0261167Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0261511Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0261821Z [2022-11-23 01:26:12,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0262199Z [2022-11-23 01:26:12,149] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0262295Z 3959 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0262421Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:30:36.0262426Z 2022-11-23T01:30:36.0262517Z 3960 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0262605Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0262694Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0262781Z 10 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0262870Z 12 BUILD_LIST 2 2022-11-23T01:30:36.0262943Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0263028Z 16 LOAD_CONST 2 (2) 2022-11-23T01:30:36.0263118Z 18 BUILD_LIST 2 2022-11-23T01:30:36.0263202Z 20 LOAD_CONST 3 (0) 2022-11-23T01:30:36.0263285Z 22 LOAD_CONST 3 (0) 2022-11-23T01:30:36.0263397Z 24 BUILD_LIST 2 2022-11-23T01:30:36.0263481Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0263594Z 28 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0263679Z 30 BUILD_LIST 2 2022-11-23T01:30:36.0263772Z 32 LOAD_CONST 4 (False) 2022-11-23T01:30:36.0263856Z 34 LOAD_FAST 2 (c) 2022-11-23T01:30:36.0263860Z 2022-11-23T01:30:36.0263947Z 3959 36 CALL_METHOD 8 2022-11-23T01:30:36.0264023Z 38 RETURN_VALUE 2022-11-23T01:30:36.0264083Z 2022-11-23T01:30:36.0264088Z 2022-11-23T01:30:36.0264392Z [2022-11-23 01:26:12,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959 2022-11-23T01:30:36.0264638Z [2022-11-23 01:26:12,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0264988Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:30:36.0265299Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3960 2022-11-23T01:30:36.0265590Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:30:36.0265910Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:30:36.0266260Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0266651Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0267078Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0267448Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0267861Z [2022-11-23 01:26:12,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0268316Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0268711Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0269148Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0269611Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0270066Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0270525Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0271025Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0271474Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0272001Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0272316Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959 2022-11-23T01:30:36.0272837Z [2022-11-23 01:26:12,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:30:36.0273083Z [2022-11-23 01:26:12,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0273469Z [2022-11-23 01:26:12,158] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0273712Z [2022-11-23 01:26:12,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0273943Z [2022-11-23 01:26:12,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0274195Z [2022-11-23 01:26:12,161] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0274440Z [2022-11-23 01:26:12,164] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0274616Z [2022-11-23 01:26:12,164] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0274749Z __compiled_fn_314 .2701 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0274839Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0274926Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0275010Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.0275211Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {} 2022-11-23T01:30:36.0275344Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:30:36.0275349Z 2022-11-23T01:30:36.0275672Z [2022-11-23 01:26:12,165] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0275769Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0275846Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0275931Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0276021Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0276105Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0276195Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0276270Z 12 RETURN_VALUE 2022-11-23T01:30:36.0276275Z 2022-11-23T01:30:36.0276333Z 2022-11-23T01:30:36.0276670Z [2022-11-23 01:26:12,165] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0276780Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_314) 2022-11-23T01:30:36.0276867Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0276957Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0277033Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0277120Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0277207Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0277280Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0277355Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0277438Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0277540Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.0277628Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.0277719Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0277793Z 24 RETURN_VALUE 2022-11-23T01:30:36.0277799Z 2022-11-23T01:30:36.0277858Z 2022-11-23T01:30:36.0278028Z [2022-11-23 01:26:12,166] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0278098Z - 2022-11-23T01:30:36.0278217Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0278283Z { 2022-11-23T01:30:36.0278421Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0278605Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.0278723Z 'obj_weakref': None 2022-11-23T01:30:36.0278936Z 'guarded_class': 2022-11-23T01:30:36.0279002Z } 2022-11-23T01:30:36.0279067Z 2022-11-23T01:30:36.0279137Z - 2022-11-23T01:30:36.0279258Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0279320Z { 2022-11-23T01:30:36.0279463Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0279557Z 'code': None, 2022-11-23T01:30:36.0279765Z 'obj_weakref': 2022-11-23T01:30:36.0280110Z 'guarded_class': 2022-11-23T01:30:36.0280179Z } 2022-11-23T01:30:36.0280242Z 2022-11-23T01:30:36.0280314Z - 2022-11-23T01:30:36.0280438Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0280488Z { 2022-11-23T01:30:36.0280630Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0280737Z 'code': None, 2022-11-23T01:30:36.0280945Z 'obj_weakref': 2022-11-23T01:30:36.0281203Z 'guarded_class': 2022-11-23T01:30:36.0281269Z } 2022-11-23T01:30:36.0281333Z 2022-11-23T01:30:36.0281389Z - 2022-11-23T01:30:36.0281512Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.0281573Z { 2022-11-23T01:30:36.0281715Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0281820Z 'code': None, 2022-11-23T01:30:36.0282027Z 'obj_weakref': 2022-11-23T01:30:36.0282277Z 'guarded_class': 2022-11-23T01:30:36.0282328Z } 2022-11-23T01:30:36.0282390Z 2022-11-23T01:30:36.0282458Z - 2022-11-23T01:30:36.0282588Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0282654Z { 2022-11-23T01:30:36.0282786Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0282955Z 'code': ['___check_obj_id(model, 140533810531632)'], 2022-11-23T01:30:36.0283094Z 'obj_weakref': None 2022-11-23T01:30:36.0283325Z 'guarded_class': 2022-11-23T01:30:36.0283387Z } 2022-11-23T01:30:36.0283450Z 2022-11-23T01:30:36.0283518Z - 2022-11-23T01:30:36.0283637Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0283699Z { 2022-11-23T01:30:36.0283822Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0284036Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0284153Z 'obj_weakref': None 2022-11-23T01:30:36.0284375Z 'guarded_class': 2022-11-23T01:30:36.0284466Z } 2022-11-23T01:30:36.0284528Z 2022-11-23T01:30:36.0284596Z - 2022-11-23T01:30:36.0284713Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0284902Z { 2022-11-23T01:30:36.0285024Z 'guard_types': None, 2022-11-23T01:30:36.0285130Z 'code': None, 2022-11-23T01:30:36.0285246Z 'obj_weakref': None 2022-11-23T01:30:36.0285365Z 'guarded_class': None 2022-11-23T01:30:36.0285427Z } 2022-11-23T01:30:36.0285477Z 2022-11-23T01:30:36.0285737Z [2022-11-23 01:26:12,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307 2022-11-23T01:30:36.0286105Z [2022-11-23 01:26:13,681] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3j/c3jq7xinosjgmkflmad545q5qkftrtdkzqeoo7lvzdkaxoiwfh2h.py 2022-11-23T01:30:36.0286371Z [2022-11-23 01:26:13,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307 2022-11-23T01:30:36.0286378Z 2022-11-23T01:30:36.0286472Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0286541Z import torch 2022-11-23T01:30:36.0286610Z import random 2022-11-23T01:30:36.0286715Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0286838Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0286843Z 2022-11-23T01:30:36.0286921Z aten = torch.ops.aten 2022-11-23T01:30:36.0287054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0287146Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0287151Z 2022-11-23T01:30:36.0287155Z 2022-11-23T01:30:36.0287288Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0287492Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0287610Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.0287713Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0287802Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0287861Z { 2022-11-23T01:30:36.0287957Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0288018Z { 2022-11-23T01:30:36.0288096Z #pragma omp for 2022-11-23T01:30:36.0288178Z for(long i0=0; i0<8192; i0+=1) 2022-11-23T01:30:36.0288228Z { 2022-11-23T01:30:36.0288305Z #pragma GCC ivdep 2022-11-23T01:30:36.0288391Z for(long i1=0; i1<37; i1+=1) 2022-11-23T01:30:36.0288453Z { 2022-11-23T01:30:36.0288532Z #pragma GCC ivdep 2022-11-23T01:30:36.0288620Z for(long i2=0; i2<38; i2+=1) 2022-11-23T01:30:36.0288684Z { 2022-11-23T01:30:36.0288737Z { 2022-11-23T01:30:36.0288805Z { 2022-11-23T01:30:36.0288917Z auto tmp0 = static_cast(i2 + (38*i1)); 2022-11-23T01:30:36.0289029Z auto tmp1 = static_cast(((1 + i1) / 2)); 2022-11-23T01:30:36.0289143Z auto tmp2 = static_cast(((1 + i2) / 2)); 2022-11-23T01:30:36.0289253Z auto tmp3 = static_cast(1 + (i1 / 2)); 2022-11-23T01:30:36.0289407Z auto tmp4 = static_cast(1 + (i2 / 2)); 2022-11-23T01:30:36.0289514Z auto tmp5 = static_cast(0); 2022-11-23T01:30:36.0289618Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:30:36.0289725Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:30:36.0289830Z auto tmp8 = static_cast(19); 2022-11-23T01:30:36.0289934Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:30:36.0290045Z auto tmp10 = std::min(tmp4, tmp8); 2022-11-23T01:30:36.0290142Z auto tmp11 = tmp6 + tmp5; 2022-11-23T01:30:36.0290234Z auto tmp12 = tmp7 + tmp5; 2022-11-23T01:30:36.0290373Z auto tmp13 = static_cast(1); 2022-11-23T01:30:36.0290510Z auto tmp14 = tmp9 - tmp13; 2022-11-23T01:30:36.0290621Z auto tmp15 = std::min(tmp11, tmp14); 2022-11-23T01:30:36.0290770Z auto tmp16 = tmp10 - tmp13; 2022-11-23T01:30:36.0290877Z auto tmp17 = std::min(tmp12, tmp16); 2022-11-23T01:30:36.0291000Z auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)]; 2022-11-23T01:30:36.0291115Z auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)]; 2022-11-23T01:30:36.0291211Z auto tmp20 = tmp18 == tmp0; 2022-11-23T01:30:36.0291308Z auto tmp21 = static_cast(0.0); 2022-11-23T01:30:36.0291412Z auto tmp22 = tmp20 ? tmp19 : tmp21; 2022-11-23T01:30:36.0291515Z out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22; 2022-11-23T01:30:36.0291588Z } 2022-11-23T01:30:36.0291656Z } 2022-11-23T01:30:36.0291721Z } 2022-11-23T01:30:36.0291785Z } 2022-11-23T01:30:36.0291839Z } 2022-11-23T01:30:36.0291902Z } 2022-11-23T01:30:36.0291961Z } 2022-11-23T01:30:36.0292038Z ''') 2022-11-23T01:30:36.0292044Z 2022-11-23T01:30:36.0292048Z 2022-11-23T01:30:36.0292138Z async_compile.wait(globals()) 2022-11-23T01:30:36.0292212Z del async_compile 2022-11-23T01:30:36.0292217Z 2022-11-23T01:30:36.0292286Z def call(args): 2022-11-23T01:30:36.0292367Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.0292427Z args.clear() 2022-11-23T01:30:36.0292655Z buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0292815Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0292883Z del arg0_1 2022-11-23T01:30:36.0292952Z del arg2_1 2022-11-23T01:30:36.0293022Z return (buf0, ) 2022-11-23T01:30:36.0293027Z 2022-11-23T01:30:36.0293031Z 2022-11-23T01:30:36.0293106Z if __name__ == "__main__": 2022-11-23T01:30:36.0293211Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0293335Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0293561Z arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0293787Z arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0294007Z arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0294128Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.0294133Z 2022-11-23T01:30:36.0294199Z ok (1.894s) 2022-11-23T01:30:36.0294545Z test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:26:13,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0294895Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0295102Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0295357Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0295638Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0295963Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0296310Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0296666Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0297039Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0297133Z 3984 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0297259Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:30:36.0297264Z 2022-11-23T01:30:36.0297357Z 3985 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0297434Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0297522Z 8 LOAD_CONST 1 (5) 2022-11-23T01:30:36.0297610Z 10 LOAD_CONST 1 (5) 2022-11-23T01:30:36.0297697Z 12 BUILD_LIST 2 2022-11-23T01:30:36.0297786Z 14 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0297871Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0297958Z 18 BUILD_LIST 2 2022-11-23T01:30:36.0298031Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0298116Z 22 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0298201Z 24 BUILD_LIST 2 2022-11-23T01:30:36.0298285Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0298369Z 28 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0298452Z 30 BUILD_LIST 2 2022-11-23T01:30:36.0298543Z 32 LOAD_CONST 4 (False) 2022-11-23T01:30:36.0298615Z 34 LOAD_FAST 2 (c) 2022-11-23T01:30:36.0298632Z 2022-11-23T01:30:36.0298707Z 3984 36 CALL_METHOD 8 2022-11-23T01:30:36.0298784Z 38 RETURN_VALUE 2022-11-23T01:30:36.0298849Z 2022-11-23T01:30:36.0298854Z 2022-11-23T01:30:36.0299169Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984 2022-11-23T01:30:36.0299386Z [2022-11-23 01:26:13,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0299735Z [2022-11-23 01:26:13,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:30:36.0300048Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3985 2022-11-23T01:30:36.0300339Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:30:36.0300661Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:30:36.0301064Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0301451Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0301877Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0302253Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0302667Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0303149Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0303549Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0303984Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0304456Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0304878Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0305335Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0305834Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0306297Z [2022-11-23 01:26:13,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0306782Z [2022-11-23 01:26:13,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0307098Z [2022-11-23 01:26:13,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984 2022-11-23T01:30:36.0307620Z [2022-11-23 01:26:13,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:30:36.0307872Z [2022-11-23 01:26:13,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0308280Z [2022-11-23 01:26:13,922] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0308515Z [2022-11-23 01:26:13,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0308750Z [2022-11-23 01:26:13,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0309002Z [2022-11-23 01:26:13,923] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0309251Z [2022-11-23 01:26:13,926] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0309439Z [2022-11-23 01:26:13,926] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0309601Z __compiled_fn_315 .2707 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0309693Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0309778Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0309850Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.0310051Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {} 2022-11-23T01:30:36.0310182Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:30:36.0310188Z 2022-11-23T01:30:36.0310511Z [2022-11-23 01:26:13,927] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0310602Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0310693Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0310777Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0310871Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0310943Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0311033Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0311107Z 12 RETURN_VALUE 2022-11-23T01:30:36.0311112Z 2022-11-23T01:30:36.0311171Z 2022-11-23T01:30:36.0311491Z [2022-11-23 01:26:13,927] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0311597Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_315) 2022-11-23T01:30:36.0311684Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0311771Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0311834Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0311922Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0312008Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0312086Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0312170Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0312259Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0312333Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.0312406Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.0312497Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0312570Z 24 RETURN_VALUE 2022-11-23T01:30:36.0312575Z 2022-11-23T01:30:36.0312634Z 2022-11-23T01:30:36.0312815Z [2022-11-23 01:26:13,927] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0312884Z - 2022-11-23T01:30:36.0313001Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0313052Z { 2022-11-23T01:30:36.0313190Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0313376Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.0313494Z 'obj_weakref': None 2022-11-23T01:30:36.0313720Z 'guarded_class': 2022-11-23T01:30:36.0313784Z } 2022-11-23T01:30:36.0313879Z 2022-11-23T01:30:36.0313936Z - 2022-11-23T01:30:36.0314060Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0314123Z { 2022-11-23T01:30:36.0314263Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0314369Z 'code': None, 2022-11-23T01:30:36.0314578Z 'obj_weakref': 2022-11-23T01:30:36.0314829Z 'guarded_class': 2022-11-23T01:30:36.0314892Z } 2022-11-23T01:30:36.0314943Z 2022-11-23T01:30:36.0315011Z - 2022-11-23T01:30:36.0315133Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0315197Z { 2022-11-23T01:30:36.0315336Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0315481Z 'code': None, 2022-11-23T01:30:36.0315681Z 'obj_weakref': 2022-11-23T01:30:36.0315933Z 'guarded_class': 2022-11-23T01:30:36.0315996Z } 2022-11-23T01:30:36.0316059Z 2022-11-23T01:30:36.0316127Z - 2022-11-23T01:30:36.0316248Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.0316310Z { 2022-11-23T01:30:36.0316436Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0316541Z 'code': None, 2022-11-23T01:30:36.0316747Z 'obj_weakref': 2022-11-23T01:30:36.0316994Z 'guarded_class': 2022-11-23T01:30:36.0317059Z } 2022-11-23T01:30:36.0317122Z 2022-11-23T01:30:36.0317189Z - 2022-11-23T01:30:36.0317306Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0317368Z { 2022-11-23T01:30:36.0317504Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0317670Z 'code': ['___check_obj_id(model, 140533808932624)'], 2022-11-23T01:30:36.0317787Z 'obj_weakref': None 2022-11-23T01:30:36.0318016Z 'guarded_class': 2022-11-23T01:30:36.0318079Z } 2022-11-23T01:30:36.0318141Z 2022-11-23T01:30:36.0318196Z - 2022-11-23T01:30:36.0318317Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0318378Z { 2022-11-23T01:30:36.0318512Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0318726Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0318845Z 'obj_weakref': None 2022-11-23T01:30:36.0319066Z 'guarded_class': 2022-11-23T01:30:36.0319119Z } 2022-11-23T01:30:36.0319180Z 2022-11-23T01:30:36.0319247Z - 2022-11-23T01:30:36.0319377Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0319438Z { 2022-11-23T01:30:36.0319555Z 'guard_types': None, 2022-11-23T01:30:36.0319648Z 'code': None, 2022-11-23T01:30:36.0319762Z 'obj_weakref': None 2022-11-23T01:30:36.0319883Z 'guarded_class': None 2022-11-23T01:30:36.0319945Z } 2022-11-23T01:30:36.0320093Z 2022-11-23T01:30:36.0320359Z [2022-11-23 01:26:13,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308 2022-11-23T01:30:36.0320365Z 2022-11-23T01:30:36.0320458Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0320513Z import torch 2022-11-23T01:30:36.0320586Z import random 2022-11-23T01:30:36.0320701Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0320826Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0320865Z 2022-11-23T01:30:36.0320947Z aten = torch.ops.aten 2022-11-23T01:30:36.0321080Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0321171Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0321176Z 2022-11-23T01:30:36.0321180Z 2022-11-23T01:30:36.0321313Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0321504Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0321622Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.0321725Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0321824Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0321884Z { 2022-11-23T01:30:36.0321980Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0322077Z { 2022-11-23T01:30:36.0322141Z #pragma omp for 2022-11-23T01:30:36.0322225Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:36.0322289Z { 2022-11-23T01:30:36.0322370Z #pragma GCC ivdep 2022-11-23T01:30:36.0322453Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.0322516Z { 2022-11-23T01:30:36.0322597Z #pragma GCC ivdep 2022-11-23T01:30:36.0322674Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:30:36.0322739Z { 2022-11-23T01:30:36.0322819Z { 2022-11-23T01:30:36.0322885Z { 2022-11-23T01:30:36.0322998Z auto tmp0 = static_cast(i2 + (4*i1)); 2022-11-23T01:30:36.0323167Z auto tmp1 = static_cast((-2) + i1); 2022-11-23T01:30:36.0323330Z auto tmp2 = static_cast((-2) + i2); 2022-11-23T01:30:36.0323424Z auto tmp3 = static_cast(3 + i1); 2022-11-23T01:30:36.0323532Z auto tmp4 = static_cast(3 + i2); 2022-11-23T01:30:36.0323638Z auto tmp5 = static_cast(0); 2022-11-23T01:30:36.0323750Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:30:36.0323857Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:30:36.0323959Z auto tmp8 = static_cast(3); 2022-11-23T01:30:36.0324061Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:30:36.0324161Z auto tmp10 = static_cast(4); 2022-11-23T01:30:36.0324257Z auto tmp11 = std::min(tmp4, tmp10); 2022-11-23T01:30:36.0324352Z auto tmp12 = tmp6 + tmp5; 2022-11-23T01:30:36.0324444Z auto tmp13 = tmp7 + tmp5; 2022-11-23T01:30:36.0324548Z auto tmp14 = static_cast(1); 2022-11-23T01:30:36.0324698Z auto tmp15 = tmp9 - tmp14; 2022-11-23T01:30:36.0324917Z auto tmp16 = std::min(tmp12, tmp15); 2022-11-23T01:30:36.0325072Z auto tmp17 = tmp11 - tmp14; 2022-11-23T01:30:36.0325177Z auto tmp18 = std::min(tmp13, tmp17); 2022-11-23T01:30:36.0325281Z auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0325396Z auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0325492Z auto tmp21 = tmp19 == tmp0; 2022-11-23T01:30:36.0325601Z auto tmp22 = static_cast(0.0); 2022-11-23T01:30:36.0325705Z auto tmp23 = tmp21 ? tmp20 : tmp22; 2022-11-23T01:30:36.0325801Z auto tmp24 = tmp7 + tmp14; 2022-11-23T01:30:36.0325909Z auto tmp25 = std::min(tmp24, tmp17); 2022-11-23T01:30:36.0326025Z auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0326170Z auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0326267Z auto tmp28 = tmp26 == tmp0; 2022-11-23T01:30:36.0326366Z auto tmp29 = tmp12 < tmp9; 2022-11-23T01:30:36.0326500Z auto tmp30 = tmp24 < tmp11; 2022-11-23T01:30:36.0326636Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:30:36.0326743Z auto tmp32 = tmp31 & tmp28; 2022-11-23T01:30:36.0326838Z auto tmp33 = tmp23 + tmp27; 2022-11-23T01:30:36.0326927Z auto tmp34 = tmp32 ? tmp33 : tmp23; 2022-11-23T01:30:36.0327033Z auto tmp35 = static_cast(2); 2022-11-23T01:30:36.0327127Z auto tmp36 = tmp7 + tmp35; 2022-11-23T01:30:36.0327282Z auto tmp37 = std::min(tmp36, tmp17); 2022-11-23T01:30:36.0327397Z auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0327513Z auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0327608Z auto tmp40 = tmp38 == tmp0; 2022-11-23T01:30:36.0327703Z auto tmp41 = tmp36 < tmp11; 2022-11-23T01:30:36.0327784Z auto tmp42 = tmp29 & tmp41; 2022-11-23T01:30:36.0327877Z auto tmp43 = tmp42 & tmp40; 2022-11-23T01:30:36.0327970Z auto tmp44 = tmp34 + tmp39; 2022-11-23T01:30:36.0328073Z auto tmp45 = tmp43 ? tmp44 : tmp34; 2022-11-23T01:30:36.0328168Z auto tmp46 = tmp7 + tmp8; 2022-11-23T01:30:36.0328277Z auto tmp47 = std::min(tmp46, tmp17); 2022-11-23T01:30:36.0328391Z auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0328507Z auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0328592Z auto tmp50 = tmp48 == tmp0; 2022-11-23T01:30:36.0328687Z auto tmp51 = tmp46 < tmp11; 2022-11-23T01:30:36.0328779Z auto tmp52 = tmp29 & tmp51; 2022-11-23T01:30:36.0328873Z auto tmp53 = tmp52 & tmp50; 2022-11-23T01:30:36.0328965Z auto tmp54 = tmp45 + tmp49; 2022-11-23T01:30:36.0329069Z auto tmp55 = tmp53 ? tmp54 : tmp45; 2022-11-23T01:30:36.0329164Z auto tmp56 = tmp7 + tmp10; 2022-11-23T01:30:36.0329259Z auto tmp57 = std::min(tmp56, tmp17); 2022-11-23T01:30:36.0329373Z auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0329486Z auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)]; 2022-11-23T01:30:36.0329582Z auto tmp60 = tmp58 == tmp0; 2022-11-23T01:30:36.0329679Z auto tmp61 = tmp56 < tmp11; 2022-11-23T01:30:36.0329770Z auto tmp62 = tmp29 & tmp61; 2022-11-23T01:30:36.0329861Z auto tmp63 = tmp62 & tmp60; 2022-11-23T01:30:36.0329951Z auto tmp64 = tmp55 + tmp59; 2022-11-23T01:30:36.0330041Z auto tmp65 = tmp63 ? tmp64 : tmp55; 2022-11-23T01:30:36.0330135Z auto tmp66 = tmp6 + tmp14; 2022-11-23T01:30:36.0330243Z auto tmp67 = std::min(tmp66, tmp15); 2022-11-23T01:30:36.0330356Z auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0330469Z auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0330563Z auto tmp70 = tmp68 == tmp0; 2022-11-23T01:30:36.0330660Z auto tmp71 = tmp66 < tmp9; 2022-11-23T01:30:36.0330752Z auto tmp72 = tmp13 < tmp11; 2022-11-23T01:30:36.0330862Z auto tmp73 = tmp71 & tmp72; 2022-11-23T01:30:36.0330955Z auto tmp74 = tmp73 & tmp70; 2022-11-23T01:30:36.0331050Z auto tmp75 = tmp65 + tmp69; 2022-11-23T01:30:36.0331155Z auto tmp76 = tmp74 ? tmp75 : tmp65; 2022-11-23T01:30:36.0331268Z auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0331381Z auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0331474Z auto tmp79 = tmp77 == tmp0; 2022-11-23T01:30:36.0331553Z auto tmp80 = tmp71 & tmp30; 2022-11-23T01:30:36.0331648Z auto tmp81 = tmp80 & tmp79; 2022-11-23T01:30:36.0331770Z auto tmp82 = tmp76 + tmp78; 2022-11-23T01:30:36.0331873Z auto tmp83 = tmp81 ? tmp82 : tmp76; 2022-11-23T01:30:36.0331991Z auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0332104Z auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0332195Z auto tmp86 = tmp84 == tmp0; 2022-11-23T01:30:36.0332288Z auto tmp87 = tmp71 & tmp41; 2022-11-23T01:30:36.0332368Z auto tmp88 = tmp87 & tmp86; 2022-11-23T01:30:36.0332461Z auto tmp89 = tmp83 + tmp85; 2022-11-23T01:30:36.0332565Z auto tmp90 = tmp88 ? tmp89 : tmp83; 2022-11-23T01:30:36.0332682Z auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0332794Z auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0332888Z auto tmp93 = tmp91 == tmp0; 2022-11-23T01:30:36.0332979Z auto tmp94 = tmp71 & tmp51; 2022-11-23T01:30:36.0333061Z auto tmp95 = tmp94 & tmp93; 2022-11-23T01:30:36.0333153Z auto tmp96 = tmp90 + tmp92; 2022-11-23T01:30:36.0333255Z auto tmp97 = tmp95 ? tmp96 : tmp90; 2022-11-23T01:30:36.0333368Z auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0333485Z auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)]; 2022-11-23T01:30:36.0333583Z auto tmp100 = tmp98 == tmp0; 2022-11-23T01:30:36.0333679Z auto tmp101 = tmp71 & tmp61; 2022-11-23T01:30:36.0333778Z auto tmp102 = tmp101 & tmp100; 2022-11-23T01:30:36.0333858Z auto tmp103 = tmp97 + tmp99; 2022-11-23T01:30:36.0333967Z auto tmp104 = tmp102 ? tmp103 : tmp97; 2022-11-23T01:30:36.0334061Z auto tmp105 = tmp6 + tmp35; 2022-11-23T01:30:36.0334173Z auto tmp106 = std::min(tmp105, tmp15); 2022-11-23T01:30:36.0334289Z auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0334407Z auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0334506Z auto tmp109 = tmp107 == tmp0; 2022-11-23T01:30:36.0334601Z auto tmp110 = tmp105 < tmp9; 2022-11-23T01:30:36.0334684Z auto tmp111 = tmp110 & tmp72; 2022-11-23T01:30:36.0334784Z auto tmp112 = tmp111 & tmp109; 2022-11-23T01:30:36.0334881Z auto tmp113 = tmp104 + tmp108; 2022-11-23T01:30:36.0334988Z auto tmp114 = tmp112 ? tmp113 : tmp104; 2022-11-23T01:30:36.0335105Z auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0335218Z auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0335347Z auto tmp117 = tmp115 == tmp0; 2022-11-23T01:30:36.0335432Z auto tmp118 = tmp110 & tmp30; 2022-11-23T01:30:36.0335529Z auto tmp119 = tmp118 & tmp117; 2022-11-23T01:30:36.0335624Z auto tmp120 = tmp114 + tmp116; 2022-11-23T01:30:36.0335729Z auto tmp121 = tmp119 ? tmp120 : tmp114; 2022-11-23T01:30:36.0335847Z auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0335960Z auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0336057Z auto tmp124 = tmp122 == tmp0; 2022-11-23T01:30:36.0336151Z auto tmp125 = tmp110 & tmp41; 2022-11-23T01:30:36.0336263Z auto tmp126 = tmp125 & tmp124; 2022-11-23T01:30:36.0336359Z auto tmp127 = tmp121 + tmp123; 2022-11-23T01:30:36.0336464Z auto tmp128 = tmp126 ? tmp127 : tmp121; 2022-11-23T01:30:36.0336578Z auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0336691Z auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0336787Z auto tmp131 = tmp129 == tmp0; 2022-11-23T01:30:36.0336883Z auto tmp132 = tmp110 & tmp51; 2022-11-23T01:30:36.0336978Z auto tmp133 = tmp132 & tmp131; 2022-11-23T01:30:36.0337060Z auto tmp134 = tmp128 + tmp130; 2022-11-23T01:30:36.0337162Z auto tmp135 = tmp133 ? tmp134 : tmp128; 2022-11-23T01:30:36.0337275Z auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0337388Z auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)]; 2022-11-23T01:30:36.0337485Z auto tmp138 = tmp136 == tmp0; 2022-11-23T01:30:36.0337580Z auto tmp139 = tmp110 & tmp61; 2022-11-23T01:30:36.0337675Z auto tmp140 = tmp139 & tmp138; 2022-11-23T01:30:36.0337757Z auto tmp141 = tmp135 + tmp137; 2022-11-23T01:30:36.0337859Z auto tmp142 = tmp140 ? tmp141 : tmp135; 2022-11-23T01:30:36.0337955Z auto tmp143 = tmp6 + tmp8; 2022-11-23T01:30:36.0338065Z auto tmp144 = std::min(tmp143, tmp15); 2022-11-23T01:30:36.0338179Z auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0338291Z auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0338388Z auto tmp147 = tmp145 == tmp0; 2022-11-23T01:30:36.0338484Z auto tmp148 = tmp143 < tmp9; 2022-11-23T01:30:36.0338571Z auto tmp149 = tmp148 & tmp72; 2022-11-23T01:30:36.0338667Z auto tmp150 = tmp149 & tmp147; 2022-11-23T01:30:36.0338762Z auto tmp151 = tmp142 + tmp146; 2022-11-23T01:30:36.0338869Z auto tmp152 = tmp150 ? tmp151 : tmp142; 2022-11-23T01:30:36.0338984Z auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0339097Z auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0339192Z auto tmp155 = tmp153 == tmp0; 2022-11-23T01:30:36.0339286Z auto tmp156 = tmp148 & tmp30; 2022-11-23T01:30:36.0339370Z auto tmp157 = tmp156 & tmp155; 2022-11-23T01:30:36.0339470Z auto tmp158 = tmp152 + tmp154; 2022-11-23T01:30:36.0339575Z auto tmp159 = tmp157 ? tmp158 : tmp152; 2022-11-23T01:30:36.0339715Z auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0339831Z auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0339926Z auto tmp162 = tmp160 == tmp0; 2022-11-23T01:30:36.0340020Z auto tmp163 = tmp148 & tmp41; 2022-11-23T01:30:36.0340114Z auto tmp164 = tmp163 & tmp162; 2022-11-23T01:30:36.0340197Z auto tmp165 = tmp159 + tmp161; 2022-11-23T01:30:36.0340299Z auto tmp166 = tmp164 ? tmp165 : tmp159; 2022-11-23T01:30:36.0340413Z auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0340526Z auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0340648Z auto tmp169 = tmp167 == tmp0; 2022-11-23T01:30:36.0340742Z auto tmp170 = tmp148 & tmp51; 2022-11-23T01:30:36.0340839Z auto tmp171 = tmp170 & tmp169; 2022-11-23T01:30:36.0340921Z auto tmp172 = tmp166 + tmp168; 2022-11-23T01:30:36.0341024Z auto tmp173 = tmp171 ? tmp172 : tmp166; 2022-11-23T01:30:36.0341135Z auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0341245Z auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)]; 2022-11-23T01:30:36.0341340Z auto tmp176 = tmp174 == tmp0; 2022-11-23T01:30:36.0341433Z auto tmp177 = tmp148 & tmp61; 2022-11-23T01:30:36.0341527Z auto tmp178 = tmp177 & tmp176; 2022-11-23T01:30:36.0341621Z auto tmp179 = tmp173 + tmp175; 2022-11-23T01:30:36.0341714Z auto tmp180 = tmp178 ? tmp179 : tmp173; 2022-11-23T01:30:36.0341810Z auto tmp181 = tmp6 + tmp10; 2022-11-23T01:30:36.0341924Z auto tmp182 = std::min(tmp181, tmp15); 2022-11-23T01:30:36.0342036Z auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0342149Z auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0342243Z auto tmp185 = tmp183 == tmp0; 2022-11-23T01:30:36.0342338Z auto tmp186 = tmp181 < tmp9; 2022-11-23T01:30:36.0342431Z auto tmp187 = tmp186 & tmp72; 2022-11-23T01:30:36.0342514Z auto tmp188 = tmp187 & tmp185; 2022-11-23T01:30:36.0342639Z auto tmp189 = tmp180 + tmp184; 2022-11-23T01:30:36.0342743Z auto tmp190 = tmp188 ? tmp189 : tmp180; 2022-11-23T01:30:36.0342860Z auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0342973Z auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0343069Z auto tmp193 = tmp191 == tmp0; 2022-11-23T01:30:36.0343164Z auto tmp194 = tmp186 & tmp30; 2022-11-23T01:30:36.0343247Z auto tmp195 = tmp194 & tmp193; 2022-11-23T01:30:36.0343342Z auto tmp196 = tmp190 + tmp192; 2022-11-23T01:30:36.0343445Z auto tmp197 = tmp195 ? tmp196 : tmp190; 2022-11-23T01:30:36.0343558Z auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0343668Z auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0343764Z auto tmp200 = tmp198 == tmp0; 2022-11-23T01:30:36.0343860Z auto tmp201 = tmp186 & tmp41; 2022-11-23T01:30:36.0343955Z auto tmp202 = tmp201 & tmp200; 2022-11-23T01:30:36.0344065Z auto tmp203 = tmp197 + tmp199; 2022-11-23T01:30:36.0344169Z auto tmp204 = tmp202 ? tmp203 : tmp197; 2022-11-23T01:30:36.0344280Z auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0344397Z auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0344495Z auto tmp207 = tmp205 == tmp0; 2022-11-23T01:30:36.0344587Z auto tmp208 = tmp186 & tmp51; 2022-11-23T01:30:36.0344682Z auto tmp209 = tmp208 & tmp207; 2022-11-23T01:30:36.0344775Z auto tmp210 = tmp204 + tmp206; 2022-11-23T01:30:36.0344864Z auto tmp211 = tmp209 ? tmp210 : tmp204; 2022-11-23T01:30:36.0345004Z auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0345114Z auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)]; 2022-11-23T01:30:36.0345213Z auto tmp214 = tmp212 == tmp0; 2022-11-23T01:30:36.0345306Z auto tmp215 = tmp186 & tmp61; 2022-11-23T01:30:36.0345402Z auto tmp216 = tmp215 & tmp214; 2022-11-23T01:30:36.0345496Z auto tmp217 = tmp211 + tmp213; 2022-11-23T01:30:36.0345597Z auto tmp218 = tmp216 ? tmp217 : tmp211; 2022-11-23T01:30:36.0345688Z out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218; 2022-11-23T01:30:36.0345755Z } 2022-11-23T01:30:36.0345823Z } 2022-11-23T01:30:36.0345888Z } 2022-11-23T01:30:36.0345951Z } 2022-11-23T01:30:36.0346013Z } 2022-11-23T01:30:36.0346060Z } 2022-11-23T01:30:36.0346123Z } 2022-11-23T01:30:36.0346217Z ''') 2022-11-23T01:30:36.0346222Z 2022-11-23T01:30:36.0346226Z 2022-11-23T01:30:36.0346317Z async_compile.wait(globals()) 2022-11-23T01:30:36.0346389Z del async_compile 2022-11-23T01:30:36.0346395Z 2022-11-23T01:30:36.0346464Z def call(args): 2022-11-23T01:30:36.0346548Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.0346619Z args.clear() 2022-11-23T01:30:36.0346826Z buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0346992Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0347060Z del arg0_1 2022-11-23T01:30:36.0347125Z del arg2_1 2022-11-23T01:30:36.0347196Z return (buf0, ) 2022-11-23T01:30:36.0347201Z 2022-11-23T01:30:36.0347205Z 2022-11-23T01:30:36.0347280Z if __name__ == "__main__": 2022-11-23T01:30:36.0347394Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0347505Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0347725Z arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0347938Z arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0348148Z arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0348272Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.0348646Z [2022-11-23 01:26:15,775] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h4/ch4rmzmt6fgcoqquftpggnyr2avme4comgmdkbz7fmekad7xcb2c.py 2022-11-23T01:30:36.0348907Z [2022-11-23 01:26:15,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308 2022-11-23T01:30:36.0348913Z 2022-11-23T01:30:36.0348978Z ok (1.876s) 2022-11-23T01:30:36.0349322Z test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0349663Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0349869Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0350124Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0350403Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0350721Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0351065Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0351431Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0351806Z [2022-11-23 01:26:15,792] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0351899Z 4011 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0352027Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:30:36.0352031Z 2022-11-23T01:30:36.0352120Z 4012 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0352196Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0352287Z 8 LOAD_CONST 1 (13) 2022-11-23T01:30:36.0352377Z 10 LOAD_CONST 1 (13) 2022-11-23T01:30:36.0352464Z 12 BUILD_LIST 2 2022-11-23T01:30:36.0352554Z 14 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0352641Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0352728Z 18 BUILD_LIST 2 2022-11-23T01:30:36.0352801Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0352885Z 22 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0352971Z 24 BUILD_LIST 2 2022-11-23T01:30:36.0353054Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0353141Z 28 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0353226Z 30 BUILD_LIST 2 2022-11-23T01:30:36.0353316Z 32 LOAD_CONST 4 (False) 2022-11-23T01:30:36.0353389Z 34 LOAD_FAST 2 (c) 2022-11-23T01:30:36.0353393Z 2022-11-23T01:30:36.0353479Z 4011 36 CALL_METHOD 8 2022-11-23T01:30:36.0353554Z 38 RETURN_VALUE 2022-11-23T01:30:36.0353617Z 2022-11-23T01:30:36.0353622Z 2022-11-23T01:30:36.0353939Z [2022-11-23 01:26:15,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011 2022-11-23T01:30:36.0354153Z [2022-11-23 01:26:15,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0354499Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:30:36.0354809Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4012 2022-11-23T01:30:36.0355099Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:30:36.0355409Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:30:36.0355791Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0356182Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0356607Z [2022-11-23 01:26:15,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0356979Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0357389Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0357873Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0358269Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0358705Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0359177Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0359602Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0360172Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0360673Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0361131Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0361618Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0361933Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011 2022-11-23T01:30:36.0362458Z [2022-11-23 01:26:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:30:36.0362709Z [2022-11-23 01:26:15,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0363108Z [2022-11-23 01:26:15,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0363356Z [2022-11-23 01:26:15,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0363592Z [2022-11-23 01:26:15,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0363841Z [2022-11-23 01:26:15,803] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0364089Z [2022-11-23 01:26:15,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0364276Z [2022-11-23 01:26:15,806] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0364443Z __compiled_fn_316 .2713 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0364535Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0364621Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0364692Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.0365000Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {} 2022-11-23T01:30:36.0365134Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:30:36.0365139Z 2022-11-23T01:30:36.0365465Z [2022-11-23 01:26:15,806] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0365558Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0365649Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0365738Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0365830Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0365903Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0365992Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0366068Z 12 RETURN_VALUE 2022-11-23T01:30:36.0366073Z 2022-11-23T01:30:36.0366134Z 2022-11-23T01:30:36.0366456Z [2022-11-23 01:26:15,806] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0366570Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_316) 2022-11-23T01:30:36.0366658Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0366748Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0366811Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0366897Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0366985Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0367062Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0367145Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0367231Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0367305Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.0367380Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.0367468Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0367544Z 24 RETURN_VALUE 2022-11-23T01:30:36.0367549Z 2022-11-23T01:30:36.0367607Z 2022-11-23T01:30:36.0367787Z [2022-11-23 01:26:15,807] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0367856Z - 2022-11-23T01:30:36.0367974Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0368027Z { 2022-11-23T01:30:36.0368165Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0368350Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.0368469Z 'obj_weakref': None 2022-11-23T01:30:36.0368695Z 'guarded_class': 2022-11-23T01:30:36.0368759Z } 2022-11-23T01:30:36.0368870Z 2022-11-23T01:30:36.0368972Z - 2022-11-23T01:30:36.0369096Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0369159Z { 2022-11-23T01:30:36.0369299Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0369405Z 'code': None, 2022-11-23T01:30:36.0369617Z 'obj_weakref': 2022-11-23T01:30:36.0369869Z 'guarded_class': 2022-11-23T01:30:36.0369920Z } 2022-11-23T01:30:36.0369983Z 2022-11-23T01:30:36.0370051Z - 2022-11-23T01:30:36.0370173Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0370237Z { 2022-11-23T01:30:36.0370412Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0370518Z 'code': None, 2022-11-23T01:30:36.0370720Z 'obj_weakref': 2022-11-23T01:30:36.0370970Z 'guarded_class': 2022-11-23T01:30:36.0371034Z } 2022-11-23T01:30:36.0371096Z 2022-11-23T01:30:36.0371165Z - 2022-11-23T01:30:36.0371287Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.0371349Z { 2022-11-23T01:30:36.0371477Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0371584Z 'code': None, 2022-11-23T01:30:36.0371793Z 'obj_weakref': 2022-11-23T01:30:36.0372044Z 'guarded_class': 2022-11-23T01:30:36.0372110Z } 2022-11-23T01:30:36.0372173Z 2022-11-23T01:30:36.0372240Z - 2022-11-23T01:30:36.0372357Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0372423Z { 2022-11-23T01:30:36.0372558Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0372726Z 'code': ['___check_obj_id(model, 140534620199456)'], 2022-11-23T01:30:36.0372844Z 'obj_weakref': None 2022-11-23T01:30:36.0373073Z 'guarded_class': 2022-11-23T01:30:36.0373136Z } 2022-11-23T01:30:36.0373187Z 2022-11-23T01:30:36.0373255Z - 2022-11-23T01:30:36.0373375Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0373437Z { 2022-11-23T01:30:36.0373573Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0373786Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0373905Z 'obj_weakref': None 2022-11-23T01:30:36.0374111Z 'guarded_class': 2022-11-23T01:30:36.0374178Z } 2022-11-23T01:30:36.0374244Z 2022-11-23T01:30:36.0374312Z - 2022-11-23T01:30:36.0374442Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0374505Z { 2022-11-23T01:30:36.0374622Z 'guard_types': None, 2022-11-23T01:30:36.0374715Z 'code': None, 2022-11-23T01:30:36.0374831Z 'obj_weakref': None 2022-11-23T01:30:36.0374949Z 'guarded_class': None 2022-11-23T01:30:36.0375014Z } 2022-11-23T01:30:36.0375076Z 2022-11-23T01:30:36.0375336Z [2022-11-23 01:26:15,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309 2022-11-23T01:30:36.0375596Z [2022-11-23 01:26:15,816] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward 2022-11-23T01:30:36.0375952Z [2022-11-23 01:26:15,818] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfux5xyoy7kdgjialfvxmlfwnlwio22747wkgi6cmiyqorlc2evs.py 2022-11-23T01:30:36.0376250Z [2022-11-23 01:26:15,818] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309 2022-11-23T01:30:36.0376255Z 2022-11-23T01:30:36.0376352Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0376422Z import torch 2022-11-23T01:30:36.0376491Z import random 2022-11-23T01:30:36.0376606Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0376727Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0376733Z 2022-11-23T01:30:36.0376809Z aten = torch.ops.aten 2022-11-23T01:30:36.0376930Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0377023Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0377028Z 2022-11-23T01:30:36.0377032Z 2022-11-23T01:30:36.0377119Z async_compile.wait(globals()) 2022-11-23T01:30:36.0377225Z del async_compile 2022-11-23T01:30:36.0377229Z 2022-11-23T01:30:36.0377300Z def call(args): 2022-11-23T01:30:36.0377381Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.0377456Z args.clear() 2022-11-23T01:30:36.0377613Z buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1) 2022-11-23T01:30:36.0377669Z del arg0_1 2022-11-23T01:30:36.0377738Z del arg1_1 2022-11-23T01:30:36.0377802Z del arg2_1 2022-11-23T01:30:36.0377867Z buf1 = buf0 2022-11-23T01:30:36.0377977Z assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1)) 2022-11-23T01:30:36.0378042Z del buf0 2022-11-23T01:30:36.0378114Z return (buf1, ) 2022-11-23T01:30:36.0378118Z 2022-11-23T01:30:36.0378122Z 2022-11-23T01:30:36.0378185Z if __name__ == "__main__": 2022-11-23T01:30:36.0378297Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0378418Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0378641Z arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0378864Z arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0379079Z arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0379202Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.0379206Z 2022-11-23T01:30:36.0379273Z ok (0.036s) 2022-11-23T01:30:36.0379604Z test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0379921Z [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0380139Z [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0380393Z [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0380676Z [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0380995Z [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0381343Z [2022-11-23 01:26:15,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0381664Z [2022-11-23 01:26:15,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0382040Z [2022-11-23 01:26:15,826] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0382137Z 3908 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0382293Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:30:36.0382298Z 2022-11-23T01:30:36.0382378Z 3909 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0382469Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0382559Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:36.0382647Z 10 LOAD_CONST 1 (2) 2022-11-23T01:30:36.0382735Z 12 BUILD_LIST 2 2022-11-23T01:30:36.0382821Z 14 LOAD_CONST 1 (2) 2022-11-23T01:30:36.0382907Z 16 LOAD_CONST 1 (2) 2022-11-23T01:30:36.0382980Z 18 BUILD_LIST 2 2022-11-23T01:30:36.0383067Z 20 LOAD_CONST 2 (0) 2022-11-23T01:30:36.0383151Z 22 LOAD_CONST 2 (0) 2022-11-23T01:30:36.0383265Z 24 BUILD_LIST 2 2022-11-23T01:30:36.0383349Z 26 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0383434Z 28 LOAD_CONST 3 (1) 2022-11-23T01:30:36.0383518Z 30 BUILD_LIST 2 2022-11-23T01:30:36.0383597Z 32 LOAD_CONST 4 (False) 2022-11-23T01:30:36.0383682Z 34 LOAD_FAST 2 (c) 2022-11-23T01:30:36.0383687Z 2022-11-23T01:30:36.0383771Z 3908 36 CALL_METHOD 8 2022-11-23T01:30:36.0383846Z 38 RETURN_VALUE 2022-11-23T01:30:36.0383907Z 2022-11-23T01:30:36.0383912Z 2022-11-23T01:30:36.0384227Z [2022-11-23 01:26:15,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908 2022-11-23T01:30:36.0384444Z [2022-11-23 01:26:15,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0384793Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:30:36.0385108Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3909 2022-11-23T01:30:36.0385388Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:30:36.0385705Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:30:36.0386054Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0386438Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0386863Z [2022-11-23 01:26:15,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0387234Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0387647Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0388093Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0388521Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0388956Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0389428Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0389848Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0390371Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0390869Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0391317Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0391801Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0392118Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908 2022-11-23T01:30:36.0392637Z [2022-11-23 01:26:15,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:30:36.0392870Z [2022-11-23 01:26:15,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0393249Z [2022-11-23 01:26:15,835] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0393493Z [2022-11-23 01:26:15,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0393727Z [2022-11-23 01:26:15,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0394006Z [2022-11-23 01:26:15,836] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0394256Z [2022-11-23 01:26:15,838] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0394442Z [2022-11-23 01:26:15,839] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0394575Z __compiled_fn_317 .2719 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0394665Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0394741Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0394824Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.0395024Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {} 2022-11-23T01:30:36.0395189Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:30:36.0395195Z 2022-11-23T01:30:36.0395522Z [2022-11-23 01:26:15,839] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0395615Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0395704Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0395790Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0395871Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0395957Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0396043Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0396118Z 12 RETURN_VALUE 2022-11-23T01:30:36.0396174Z 2022-11-23T01:30:36.0396237Z 2022-11-23T01:30:36.0396562Z [2022-11-23 01:26:15,839] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0396670Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_317) 2022-11-23T01:30:36.0396759Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0396836Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0396912Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0396998Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0397085Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0397160Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0397243Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0397328Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0397390Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.0397477Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.0397567Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0397642Z 24 RETURN_VALUE 2022-11-23T01:30:36.0397647Z 2022-11-23T01:30:36.0397706Z 2022-11-23T01:30:36.0397890Z [2022-11-23 01:26:15,840] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0397960Z - 2022-11-23T01:30:36.0398065Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0398130Z { 2022-11-23T01:30:36.0398269Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0398458Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.0398578Z 'obj_weakref': None 2022-11-23T01:30:36.0398802Z 'guarded_class': 2022-11-23T01:30:36.0398867Z } 2022-11-23T01:30:36.0398917Z 2022-11-23T01:30:36.0398984Z - 2022-11-23T01:30:36.0399108Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0399171Z { 2022-11-23T01:30:36.0399314Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0399419Z 'code': None, 2022-11-23T01:30:36.0399629Z 'obj_weakref': 2022-11-23T01:30:36.0399871Z 'guarded_class': 2022-11-23T01:30:36.0399935Z } 2022-11-23T01:30:36.0400081Z 2022-11-23T01:30:36.0400155Z - 2022-11-23T01:30:36.0400279Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0400343Z { 2022-11-23T01:30:36.0400482Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0400574Z 'code': None, 2022-11-23T01:30:36.0400785Z 'obj_weakref': 2022-11-23T01:30:36.0401035Z 'guarded_class': 2022-11-23T01:30:36.0401102Z } 2022-11-23T01:30:36.0401166Z 2022-11-23T01:30:36.0401235Z - 2022-11-23T01:30:36.0401356Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.0401441Z { 2022-11-23T01:30:36.0401584Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0401689Z 'code': None, 2022-11-23T01:30:36.0401895Z 'obj_weakref': 2022-11-23T01:30:36.0402146Z 'guarded_class': 2022-11-23T01:30:36.0402209Z } 2022-11-23T01:30:36.0402272Z 2022-11-23T01:30:36.0402328Z - 2022-11-23T01:30:36.0402457Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0402519Z { 2022-11-23T01:30:36.0402651Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0402819Z 'code': ['___check_obj_id(model, 140534620203776)'], 2022-11-23T01:30:36.0402969Z 'obj_weakref': None 2022-11-23T01:30:36.0403200Z 'guarded_class': 2022-11-23T01:30:36.0403262Z } 2022-11-23T01:30:36.0403311Z 2022-11-23T01:30:36.0403380Z - 2022-11-23T01:30:36.0403499Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0403561Z { 2022-11-23T01:30:36.0403693Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0403906Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0404011Z 'obj_weakref': None 2022-11-23T01:30:36.0404230Z 'guarded_class': 2022-11-23T01:30:36.0404293Z } 2022-11-23T01:30:36.0404356Z 2022-11-23T01:30:36.0404424Z - 2022-11-23T01:30:36.0404553Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0404619Z { 2022-11-23T01:30:36.0404724Z 'guard_types': None, 2022-11-23T01:30:36.0405043Z 'code': None, 2022-11-23T01:30:36.0405161Z 'obj_weakref': None 2022-11-23T01:30:36.0405282Z 'guarded_class': None 2022-11-23T01:30:36.0405344Z } 2022-11-23T01:30:36.0405407Z 2022-11-23T01:30:36.0405669Z [2022-11-23 01:26:15,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310 2022-11-23T01:30:36.0406023Z [2022-11-23 01:26:17,350] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2i/c2ie3qnj7bvubhw35x5a6nfyknhvhgsrtzzbp4jqkfxdszqitcke.py 2022-11-23T01:30:36.0406287Z [2022-11-23 01:26:17,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310 2022-11-23T01:30:36.0406294Z 2022-11-23T01:30:36.0406387Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0406454Z import torch 2022-11-23T01:30:36.0406525Z import random 2022-11-23T01:30:36.0406641Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0406763Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0406768Z 2022-11-23T01:30:36.0406848Z aten = torch.ops.aten 2022-11-23T01:30:36.0406969Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0407064Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0407068Z 2022-11-23T01:30:36.0407073Z 2022-11-23T01:30:36.0407208Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0407413Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0407531Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.0407636Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0407734Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0407795Z { 2022-11-23T01:30:36.0407880Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0407943Z { 2022-11-23T01:30:36.0408020Z #pragma omp for 2022-11-23T01:30:36.0408101Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0408163Z { 2022-11-23T01:30:36.0408289Z #pragma GCC ivdep 2022-11-23T01:30:36.0408378Z for(long i1=0; i1<18; i1+=1) 2022-11-23T01:30:36.0408428Z { 2022-11-23T01:30:36.0408509Z #pragma GCC ivdep 2022-11-23T01:30:36.0408598Z for(long i2=0; i2<14; i2+=1) 2022-11-23T01:30:36.0408664Z { 2022-11-23T01:30:36.0408730Z { 2022-11-23T01:30:36.0408800Z { 2022-11-23T01:30:36.0408913Z auto tmp0 = static_cast(i2 + (14*i1)); 2022-11-23T01:30:36.0409012Z auto tmp1 = static_cast((i1 / 2)); 2022-11-23T01:30:36.0409118Z auto tmp2 = static_cast((i2 / 2)); 2022-11-23T01:30:36.0409228Z auto tmp3 = static_cast(1 + (i1 / 2)); 2022-11-23T01:30:36.0409372Z auto tmp4 = static_cast(1 + (i2 / 2)); 2022-11-23T01:30:36.0409478Z auto tmp5 = static_cast(0); 2022-11-23T01:30:36.0409599Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:30:36.0409704Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:30:36.0409807Z auto tmp8 = static_cast(9); 2022-11-23T01:30:36.0409901Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:30:36.0410003Z auto tmp10 = static_cast(7); 2022-11-23T01:30:36.0410109Z auto tmp11 = std::min(tmp4, tmp10); 2022-11-23T01:30:36.0410204Z auto tmp12 = tmp6 + tmp5; 2022-11-23T01:30:36.0410297Z auto tmp13 = tmp7 + tmp5; 2022-11-23T01:30:36.0410400Z auto tmp14 = static_cast(1); 2022-11-23T01:30:36.0410552Z auto tmp15 = tmp9 - tmp14; 2022-11-23T01:30:36.0410649Z auto tmp16 = std::min(tmp12, tmp15); 2022-11-23T01:30:36.0410799Z auto tmp17 = tmp11 - tmp14; 2022-11-23T01:30:36.0410905Z auto tmp18 = std::min(tmp13, tmp17); 2022-11-23T01:30:36.0411021Z auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)]; 2022-11-23T01:30:36.0411138Z auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)]; 2022-11-23T01:30:36.0411235Z auto tmp21 = tmp19 == tmp0; 2022-11-23T01:30:36.0411343Z auto tmp22 = static_cast(0.0); 2022-11-23T01:30:36.0411446Z auto tmp23 = tmp21 ? tmp20 : tmp22; 2022-11-23T01:30:36.0411539Z out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23; 2022-11-23T01:30:36.0411607Z } 2022-11-23T01:30:36.0411674Z } 2022-11-23T01:30:36.0411740Z } 2022-11-23T01:30:36.0411802Z } 2022-11-23T01:30:36.0411863Z } 2022-11-23T01:30:36.0411925Z } 2022-11-23T01:30:36.0411974Z } 2022-11-23T01:30:36.0412050Z ''') 2022-11-23T01:30:36.0412055Z 2022-11-23T01:30:36.0412060Z 2022-11-23T01:30:36.0412150Z async_compile.wait(globals()) 2022-11-23T01:30:36.0412221Z del async_compile 2022-11-23T01:30:36.0412225Z 2022-11-23T01:30:36.0412296Z def call(args): 2022-11-23T01:30:36.0412375Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.0412446Z args.clear() 2022-11-23T01:30:36.0412654Z buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0412818Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0412886Z del arg0_1 2022-11-23T01:30:36.0412954Z del arg2_1 2022-11-23T01:30:36.0413027Z return (buf0, ) 2022-11-23T01:30:36.0413032Z 2022-11-23T01:30:36.0413038Z 2022-11-23T01:30:36.0413116Z if __name__ == "__main__": 2022-11-23T01:30:36.0413231Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0413382Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0413584Z arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0413803Z arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0414013Z arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0414135Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.0414140Z 2022-11-23T01:30:36.0414212Z ok (1.531s) 2022-11-23T01:30:36.0414511Z test_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0414827Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0415077Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0415328Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0415590Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0415909Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0416256Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0416580Z [2022-11-23 01:26:17,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0416964Z [2022-11-23 01:26:17,356] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0417056Z 2179 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0417150Z 2 LOAD_METHOD 0 (mean) 2022-11-23T01:30:36.0417238Z 4 CALL_METHOD 0 2022-11-23T01:30:36.0417243Z 2022-11-23T01:30:36.0417332Z 2180 6 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0417411Z 8 LOAD_METHOD 0 (mean) 2022-11-23T01:30:36.0417546Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.0417633Z 12 CALL_METHOD 1 2022-11-23T01:30:36.0417638Z 2022-11-23T01:30:36.0417732Z 2181 14 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:36.0417822Z 16 LOAD_ATTR 0 (mean) 2022-11-23T01:30:36.0417913Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0418046Z 20 LOAD_CONST 2 (-2) 2022-11-23T01:30:36.0418140Z 22 LOAD_CONST 3 (True) 2022-11-23T01:30:36.0418278Z 24 LOAD_CONST 4 (('keepdim',)) 2022-11-23T01:30:36.0418368Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.0418372Z 2022-11-23T01:30:36.0418459Z 2182 28 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0418551Z 30 LOAD_METHOD 0 (mean) 2022-11-23T01:30:36.0418638Z 32 LOAD_CONST 5 (0) 2022-11-23T01:30:36.0418725Z 34 LOAD_CONST 6 (1) 2022-11-23T01:30:36.0418812Z 36 BUILD_LIST 2 2022-11-23T01:30:36.0418886Z 38 CALL_METHOD 1 2022-11-23T01:30:36.0418904Z 2022-11-23T01:30:36.0418978Z 2178 40 BUILD_TUPLE 4 2022-11-23T01:30:36.0419056Z 42 RETURN_VALUE 2022-11-23T01:30:36.0419119Z 2022-11-23T01:30:36.0419124Z 2022-11-23T01:30:36.0419472Z [2022-11-23 01:26:17,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2179 2022-11-23T01:30:36.0419681Z [2022-11-23 01:26:17,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.0419929Z [2022-11-23 01:26:17,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()] 2022-11-23T01:30:36.0420212Z [2022-11-23 01:26:17,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)] 2022-11-23T01:30:36.0420523Z [2022-11-23 01:26:17,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2180 2022-11-23T01:30:36.0420747Z [2022-11-23 01:26:17,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.0421043Z [2022-11-23 01:26:17,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0421351Z [2022-11-23 01:26:17,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)] 2022-11-23T01:30:36.0421701Z [2022-11-23 01:26:17,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)] 2022-11-23T01:30:36.0422015Z [2022-11-23 01:26:17,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2181 2022-11-23T01:30:36.0422290Z [2022-11-23 01:26:17,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0422722Z [2022-11-23 01:26:17,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0423103Z [2022-11-23 01:26:17,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0423513Z [2022-11-23 01:26:17,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0423963Z [2022-11-23 01:26:17,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0424464Z [2022-11-23 01:26:17,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.0425005Z [2022-11-23 01:26:17,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.0425318Z [2022-11-23 01:26:17,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2182 2022-11-23T01:30:36.0425609Z [2022-11-23 01:26:17,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0425917Z [2022-11-23 01:26:17,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0426274Z [2022-11-23 01:26:17,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)] 2022-11-23T01:30:36.0426700Z [2022-11-23 01:26:17,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)] 2022-11-23T01:30:36.0427133Z [2022-11-23 01:26:17,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0427520Z [2022-11-23 01:26:17,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()] 2022-11-23T01:30:36.0427837Z [2022-11-23 01:26:17,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2178 2022-11-23T01:30:36.0428189Z [2022-11-23 01:26:17,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0428437Z [2022-11-23 01:26:17,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0428823Z [2022-11-23 01:26:17,363] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0429070Z [2022-11-23 01:26:17,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0429304Z [2022-11-23 01:26:17,363] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0429557Z [2022-11-23 01:26:17,364] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0429791Z [2022-11-23 01:26:17,368] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0429982Z [2022-11-23 01:26:17,368] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0430118Z __compiled_fn_318 .2725 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0430208Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0430301Z call_method, mean, mean, (ex_0_,), {} 2022-11-23T01:30:36.0430438Z call_method, mean_1, mean, (ex_0_, -1), {} 2022-11-23T01:30:36.0430692Z call_function, mean_2, , (ex_0_, -2), {'keepdim': True} 2022-11-23T01:30:36.0430791Z call_method, mean_3, mean, (ex_0_, [0, 1]), {} 2022-11-23T01:30:36.0430899Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {} 2022-11-23T01:30:36.0430904Z 2022-11-23T01:30:36.0431231Z [2022-11-23 01:26:17,369] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0431328Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0431459Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0431546Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0431633Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0436092Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0436212Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0436293Z 12 RETURN_VALUE 2022-11-23T01:30:36.0436299Z 2022-11-23T01:30:36.0436360Z 2022-11-23T01:30:36.0436726Z [2022-11-23 01:26:17,369] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0436822Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_318) 2022-11-23T01:30:36.0436916Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0437005Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0437084Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0437178Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0437283Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0437454Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0437546Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0437610Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0437711Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0437801Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0437877Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0437975Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0438073Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0438150Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.0438237Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0438326Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.0438435Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.0438525Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.0438601Z 38 RETURN_VALUE 2022-11-23T01:30:36.0438606Z 2022-11-23T01:30:36.0438671Z 2022-11-23T01:30:36.0438861Z [2022-11-23 01:26:17,369] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0438918Z - 2022-11-23T01:30:36.0439038Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0439101Z { 2022-11-23T01:30:36.0439242Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0439427Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0439545Z 'obj_weakref': None 2022-11-23T01:30:36.0439774Z 'guarded_class': 2022-11-23T01:30:36.0439825Z } 2022-11-23T01:30:36.0439946Z 2022-11-23T01:30:36.0440110Z - 2022-11-23T01:30:36.0440241Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0440308Z { 2022-11-23T01:30:36.0440451Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0440559Z 'code': None, 2022-11-23T01:30:36.0440760Z 'obj_weakref': 2022-11-23T01:30:36.0441019Z 'guarded_class': 2022-11-23T01:30:36.0441087Z } 2022-11-23T01:30:36.0441151Z 2022-11-23T01:30:36.0441221Z - 2022-11-23T01:30:36.0441353Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0441417Z { 2022-11-23T01:30:36.0441537Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0441707Z 'code': ['___check_obj_id(model, 140534620200320)'], 2022-11-23T01:30:36.0441825Z 'obj_weakref': None 2022-11-23T01:30:36.0442058Z 'guarded_class': 2022-11-23T01:30:36.0442125Z } 2022-11-23T01:30:36.0442189Z 2022-11-23T01:30:36.0442256Z - 2022-11-23T01:30:36.0442365Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0442428Z { 2022-11-23T01:30:36.0442562Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0442776Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0442894Z 'obj_weakref': None 2022-11-23T01:30:36.0443113Z 'guarded_class': 2022-11-23T01:30:36.0443177Z } 2022-11-23T01:30:36.0443227Z 2022-11-23T01:30:36.0443294Z - 2022-11-23T01:30:36.0443426Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0443490Z { 2022-11-23T01:30:36.0443608Z 'guard_types': None, 2022-11-23T01:30:36.0443715Z 'code': None, 2022-11-23T01:30:36.0443832Z 'obj_weakref': None 2022-11-23T01:30:36.0443939Z 'guarded_class': None 2022-11-23T01:30:36.0444001Z } 2022-11-23T01:30:36.0444103Z 2022-11-23T01:30:36.0444369Z [2022-11-23 01:26:17,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311 2022-11-23T01:30:36.0444971Z [2022-11-23 01:26:18,952] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbnt3qesqedml4mqb5cuxd3fo7lqciqflw3tk3u5wvpniihdu7a.py 2022-11-23T01:30:36.0445242Z [2022-11-23 01:26:18,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311 2022-11-23T01:30:36.0445249Z 2022-11-23T01:30:36.0445342Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0445415Z import torch 2022-11-23T01:30:36.0445472Z import random 2022-11-23T01:30:36.0445587Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0445711Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0445797Z 2022-11-23T01:30:36.0445877Z aten = torch.ops.aten 2022-11-23T01:30:36.0446014Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0446113Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0446118Z 2022-11-23T01:30:36.0446122Z 2022-11-23T01:30:36.0446258Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0446464Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0446571Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.0446672Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:36.0446778Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0446881Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.0446978Z float* __restrict__ out_ptr3) 2022-11-23T01:30:36.0447045Z { 2022-11-23T01:30:36.0447132Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:30:36.0447207Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:30:36.0447269Z { 2022-11-23T01:30:36.0447468Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.0447545Z float tmp1 = 0; 2022-11-23T01:30:36.0447663Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.0447767Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0447832Z { 2022-11-23T01:30:36.0447925Z #pragma omp for reduction(+:tmp1_vec) 2022-11-23T01:30:36.0448006Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0448069Z { 2022-11-23T01:30:36.0448203Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.0448285Z tmp1_vec += tmp0; 2022-11-23T01:30:36.0448347Z } 2022-11-23T01:30:36.0448544Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.0448668Z #pragma omp for simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.0448742Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.0448809Z { 2022-11-23T01:30:36.0448897Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.0448972Z tmp1 += tmp0; 2022-11-23T01:30:36.0449041Z } 2022-11-23T01:30:36.0449103Z } 2022-11-23T01:30:36.0449180Z out_ptr0[0] = tmp1; 2022-11-23T01:30:36.0449228Z } 2022-11-23T01:30:36.0449323Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0449384Z { 2022-11-23T01:30:36.0449460Z #pragma omp for 2022-11-23T01:30:36.0449539Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0449600Z { 2022-11-23T01:30:36.0449650Z { 2022-11-23T01:30:36.0449838Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.0449916Z float tmp1 = 0; 2022-11-23T01:30:36.0450037Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.0450126Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.0450234Z { 2022-11-23T01:30:36.0450380Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.0450462Z tmp1_vec += tmp0; 2022-11-23T01:30:36.0450513Z } 2022-11-23T01:30:36.0450710Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.0450830Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.0450917Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.0450982Z { 2022-11-23T01:30:36.0451080Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.0451157Z tmp1 += tmp0; 2022-11-23T01:30:36.0451252Z } 2022-11-23T01:30:36.0451321Z out_ptr1[i0] = tmp1; 2022-11-23T01:30:36.0451385Z } 2022-11-23T01:30:36.0451447Z } 2022-11-23T01:30:36.0451528Z #pragma omp single 2022-11-23T01:30:36.0451592Z { 2022-11-23T01:30:36.0451655Z { 2022-11-23T01:30:36.0451706Z { 2022-11-23T01:30:36.0451797Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:30:36.0451904Z auto tmp1 = static_cast(64); 2022-11-23T01:30:36.0451995Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.0452083Z in_out_ptr0[0] = tmp2; 2022-11-23T01:30:36.0452146Z } 2022-11-23T01:30:36.0452209Z } 2022-11-23T01:30:36.0452258Z } 2022-11-23T01:30:36.0452333Z #pragma omp for 2022-11-23T01:30:36.0452413Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.0452474Z { 2022-11-23T01:30:36.0452607Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:36.0452742Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.0452825Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.0452909Z tmp2.store(in_out_ptr1 + 8*i0); 2022-11-23T01:30:36.0452970Z } 2022-11-23T01:30:36.0453065Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0453147Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.0453207Z { 2022-11-23T01:30:36.0453292Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:36.0453389Z auto tmp1 = static_cast(8); 2022-11-23T01:30:36.0453460Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.0453541Z in_out_ptr1[i0] = tmp2; 2022-11-23T01:30:36.0453602Z } 2022-11-23T01:30:36.0453677Z #pragma omp for 2022-11-23T01:30:36.0453758Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.0453818Z { 2022-11-23T01:30:36.0453899Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.0453950Z { 2022-11-23T01:30:36.0454090Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.0454233Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 8 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.0454371Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr0 + 16 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.0454510Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr0 + 24 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.0454597Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0454683Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0454772Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.0454892Z auto tmp7 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:30:36.0454976Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:30:36.0455079Z tmp8.store(out_ptr2 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.0455144Z } 2022-11-23T01:30:36.0455232Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.0455314Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.0455408Z { 2022-11-23T01:30:36.0455493Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:36.0455593Z auto tmp1 = in_ptr0[8 + i1 + (32*i0)]; 2022-11-23T01:30:36.0455689Z auto tmp3 = in_ptr0[16 + i1 + (32*i0)]; 2022-11-23T01:30:36.0455785Z auto tmp5 = in_ptr0[24 + i1 + (32*i0)]; 2022-11-23T01:30:36.0455873Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0455959Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0456044Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.0456131Z auto tmp7 = static_cast(4); 2022-11-23T01:30:36.0456216Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:30:36.0456307Z out_ptr2[i1 + (8*i0)] = tmp8; 2022-11-23T01:30:36.0456370Z } 2022-11-23T01:30:36.0456462Z } 2022-11-23T01:30:36.0456537Z #pragma omp for 2022-11-23T01:30:36.0456616Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.0456665Z { 2022-11-23T01:30:36.0456799Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.0456934Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 32 + (8*i0)); 2022-11-23T01:30:36.0457017Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0457148Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.0457231Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:30:36.0457321Z tmp4.store(out_ptr3 + 8*i0); 2022-11-23T01:30:36.0457384Z } 2022-11-23T01:30:36.0457464Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0457547Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:36.0457611Z { 2022-11-23T01:30:36.0457693Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.0457784Z auto tmp1 = in_ptr0[32 + i0]; 2022-11-23T01:30:36.0457868Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0457965Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.0458037Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:30:36.0458118Z out_ptr3[i0] = tmp4; 2022-11-23T01:30:36.0458179Z } 2022-11-23T01:30:36.0458242Z } 2022-11-23T01:30:36.0458302Z } 2022-11-23T01:30:36.0458387Z ''') 2022-11-23T01:30:36.0458392Z 2022-11-23T01:30:36.0458397Z 2022-11-23T01:30:36.0458485Z async_compile.wait(globals()) 2022-11-23T01:30:36.0458544Z del async_compile 2022-11-23T01:30:36.0458549Z 2022-11-23T01:30:36.0458620Z def call(args): 2022-11-23T01:30:36.0458692Z arg0_1, = args 2022-11-23T01:30:36.0458764Z args.clear() 2022-11-23T01:30:36.0458952Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0459152Z buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0459239Z buf2 = buf0; del buf0 # reuse 2022-11-23T01:30:36.0459308Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:30:36.0459521Z buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0459713Z buf5 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0459928Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:30:36.0459999Z del arg0_1 2022-11-23T01:30:36.0460090Z return (buf2, buf3, buf4, buf5, ) 2022-11-23T01:30:36.0460094Z 2022-11-23T01:30:36.0460098Z 2022-11-23T01:30:36.0460174Z if __name__ == "__main__": 2022-11-23T01:30:36.0460289Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0460397Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0460607Z arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0460715Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0460720Z 2022-11-23T01:30:36.0460790Z ok (1.602s) 2022-11-23T01:30:36.0461143Z test_min_max_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:26:18,957] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0461462Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0461681Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0461933Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0462208Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0462512Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0462891Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0463215Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0463589Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0463682Z 852 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0463772Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0463879Z 4 BINARY_ADD 2022-11-23T01:30:36.0463971Z 6 LOAD_METHOD 0 (max) 2022-11-23T01:30:36.0464058Z 8 CALL_METHOD 0 2022-11-23T01:30:36.0464136Z 10 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0464226Z 12 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0464303Z 14 BINARY_ADD 2022-11-23T01:30:36.0464394Z 16 LOAD_METHOD 1 (min) 2022-11-23T01:30:36.0464480Z 18 CALL_METHOD 0 2022-11-23T01:30:36.0464573Z 20 LOAD_GLOBAL 2 (torch) 2022-11-23T01:30:36.0464660Z 22 LOAD_ATTR 3 (amax) 2022-11-23T01:30:36.0464735Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0464822Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0464893Z 28 BINARY_ADD 2022-11-23T01:30:36.0464986Z 30 LOAD_CONST 2 (True) 2022-11-23T01:30:36.0465136Z 32 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:30:36.0465226Z 34 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.0465312Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.0465377Z 38 RETURN_VALUE 2022-11-23T01:30:36.0465438Z 2022-11-23T01:30:36.0465443Z 2022-11-23T01:30:36.0465758Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:852 2022-11-23T01:30:36.0465968Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.0466204Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.0466477Z [2022-11-23 01:26:18,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0466716Z [2022-11-23 01:26:18,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()] 2022-11-23T01:30:36.0466992Z [2022-11-23 01:26:18,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:30:36.0467230Z [2022-11-23 01:26:18,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.0467509Z [2022-11-23 01:26:18,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0467810Z [2022-11-23 01:26:18,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0468075Z [2022-11-23 01:26:18,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0468380Z [2022-11-23 01:26:18,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:30:36.0468651Z [2022-11-23 01:26:18,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0469073Z [2022-11-23 01:26:18,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0469480Z [2022-11-23 01:26:18,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0469886Z [2022-11-23 01:26:18,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0470334Z [2022-11-23 01:26:18,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0470746Z [2022-11-23 01:26:18,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0471219Z [2022-11-23 01:26:18,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.0471712Z [2022-11-23 01:26:18,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.0472007Z [2022-11-23 01:26:18,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0472251Z [2022-11-23 01:26:18,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0472617Z [2022-11-23 01:26:18,965] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0472862Z [2022-11-23 01:26:18,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0473096Z [2022-11-23 01:26:18,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0473349Z [2022-11-23 01:26:18,967] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0473600Z [2022-11-23 01:26:18,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0473785Z [2022-11-23 01:26:18,972] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0473920Z __compiled_fn_319 .2731 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0474007Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0474096Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0474261Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.0474378Z call_method, max_1, max, (add,), {} 2022-11-23T01:30:36.0474558Z call_function, add_1, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.0474659Z call_method, min_1, min, (add_1,), {} 2022-11-23T01:30:36.0474831Z call_function, add_2, , (ex_0_, 1), {} 2022-11-23T01:30:36.0475079Z call_function, amax, , (add_2,), {'keepdim': True} 2022-11-23T01:30:36.0475190Z output, output, output, ((max_1, min_1, amax),), {} 2022-11-23T01:30:36.0475195Z 2022-11-23T01:30:36.0475520Z [2022-11-23 01:26:18,972] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0475601Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0475691Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0475806Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0475898Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0475986Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0476077Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0476158Z 12 RETURN_VALUE 2022-11-23T01:30:36.0476163Z 2022-11-23T01:30:36.0476210Z 2022-11-23T01:30:36.0476529Z [2022-11-23 01:26:18,972] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0476636Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_319) 2022-11-23T01:30:36.0476725Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0476814Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0476892Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0476979Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0477069Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0477131Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0477217Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.0477323Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0477425Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0477512Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0477610Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0477708Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0477782Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0477859Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.0477958Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0478045Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0478119Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.0478206Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.0478282Z 38 RETURN_VALUE 2022-11-23T01:30:36.0478287Z 2022-11-23T01:30:36.0478335Z 2022-11-23T01:30:36.0478519Z [2022-11-23 01:26:18,973] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0478588Z - 2022-11-23T01:30:36.0478706Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0478770Z { 2022-11-23T01:30:36.0478908Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0479093Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.0479199Z 'obj_weakref': None 2022-11-23T01:30:36.0479426Z 'guarded_class': 2022-11-23T01:30:36.0479490Z } 2022-11-23T01:30:36.0479554Z 2022-11-23T01:30:36.0479624Z - 2022-11-23T01:30:36.0479747Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0479810Z { 2022-11-23T01:30:36.0479938Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0480141Z 'code': None, 2022-11-23T01:30:36.0480360Z 'obj_weakref': 2022-11-23T01:30:36.0480648Z 'guarded_class': 2022-11-23T01:30:36.0480716Z } 2022-11-23T01:30:36.0480780Z 2022-11-23T01:30:36.0480850Z - 2022-11-23T01:30:36.0480960Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0481025Z { 2022-11-23T01:30:36.0481167Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0481275Z 'code': None, 2022-11-23T01:30:36.0481486Z 'obj_weakref': 2022-11-23T01:30:36.0481738Z 'guarded_class': 2022-11-23T01:30:36.0481803Z } 2022-11-23T01:30:36.0481885Z 2022-11-23T01:30:36.0481956Z - 2022-11-23T01:30:36.0482085Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0482148Z { 2022-11-23T01:30:36.0482283Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0482452Z 'code': ['___check_obj_id(model, 140534620192976)'], 2022-11-23T01:30:36.0482571Z 'obj_weakref': None 2022-11-23T01:30:36.0482790Z 'guarded_class': 2022-11-23T01:30:36.0482853Z } 2022-11-23T01:30:36.0482916Z 2022-11-23T01:30:36.0482984Z - 2022-11-23T01:30:36.0483103Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0483165Z { 2022-11-23T01:30:36.0483300Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0483503Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0483621Z 'obj_weakref': None 2022-11-23T01:30:36.0483846Z 'guarded_class': 2022-11-23T01:30:36.0483913Z } 2022-11-23T01:30:36.0483980Z 2022-11-23T01:30:36.0484048Z - 2022-11-23T01:30:36.0484179Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0484230Z { 2022-11-23T01:30:36.0484350Z 'guard_types': None, 2022-11-23T01:30:36.0484455Z 'code': None, 2022-11-23T01:30:36.0484572Z 'obj_weakref': None 2022-11-23T01:30:36.0484692Z 'guarded_class': None 2022-11-23T01:30:36.0484857Z } 2022-11-23T01:30:36.0484921Z 2022-11-23T01:30:36.0485171Z [2022-11-23 01:26:18,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312 2022-11-23T01:30:36.0485537Z [2022-11-23 01:26:20,488] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wm/cwm677eh36ne2wvocqfkb3nfwmgwqeskaosxhkzncx2ei6anapwf.py 2022-11-23T01:30:36.0485806Z [2022-11-23 01:26:20,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312 2022-11-23T01:30:36.0485812Z 2022-11-23T01:30:36.0485909Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0485981Z import torch 2022-11-23T01:30:36.0486052Z import random 2022-11-23T01:30:36.0486168Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0486290Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0486295Z 2022-11-23T01:30:36.0486359Z aten = torch.ops.aten 2022-11-23T01:30:36.0486495Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0486591Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0486596Z 2022-11-23T01:30:36.0486601Z 2022-11-23T01:30:36.0486735Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0486940Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0487063Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0487199Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0487347Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0487434Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.0487529Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.0487591Z { 2022-11-23T01:30:36.0487653Z { 2022-11-23T01:30:36.0488029Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:36.0488248Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0488367Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.0488614Z #pragma omp declare reduction(min:at::vec::Vectorized:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits::infinity()}}) 2022-11-23T01:30:36.0488785Z float tmp4 = std::numeric_limits::infinity(); 2022-11-23T01:30:36.0488940Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:30:36.0489133Z float tmp7 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.0489245Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.0489348Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0489413Z { 2022-11-23T01:30:36.0489576Z #pragma omp for reduction(max:tmp3_vec) reduction(min:tmp4_vec) reduction(max:tmp7_vec) 2022-11-23T01:30:36.0489660Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0489710Z { 2022-11-23T01:30:36.0489843Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.0489975Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.0490063Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0490195Z auto tmp5 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.0490283Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:30:36.0490399Z tmp3_vec = at::vec::maximum(tmp3_vec, tmp2); 2022-11-23T01:30:36.0490511Z tmp4_vec = at::vec::minimum(tmp4_vec, tmp2); 2022-11-23T01:30:36.0490622Z tmp7_vec = at::vec::maximum(tmp7_vec, tmp6); 2022-11-23T01:30:36.0490673Z } 2022-11-23T01:30:36.0490882Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp3_vec); 2022-11-23T01:30:36.0491091Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::minimum(x, y);}, tmp4_vec); 2022-11-23T01:30:36.0491293Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp7_vec); 2022-11-23T01:30:36.0491464Z #pragma omp for simd simdlen(4) reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7) 2022-11-23T01:30:36.0491552Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.0491617Z { 2022-11-23T01:30:36.0491702Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.0491789Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.0491863Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0491963Z auto tmp5 = static_cast(1); 2022-11-23T01:30:36.0492049Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:30:36.0492145Z tmp3 = std::max(tmp3, tmp2); 2022-11-23T01:30:36.0492241Z tmp4 = std::min(tmp4, tmp2); 2022-11-23T01:30:36.0492332Z tmp7 = std::max(tmp7, tmp6); 2022-11-23T01:30:36.0492396Z } 2022-11-23T01:30:36.0492445Z } 2022-11-23T01:30:36.0492523Z out_ptr0[0] = tmp3; 2022-11-23T01:30:36.0492600Z out_ptr1[0] = tmp4; 2022-11-23T01:30:36.0492672Z out_ptr2[0] = tmp7; 2022-11-23T01:30:36.0492734Z } 2022-11-23T01:30:36.0492793Z } 2022-11-23T01:30:36.0492871Z ''') 2022-11-23T01:30:36.0492955Z 2022-11-23T01:30:36.0492960Z 2022-11-23T01:30:36.0493039Z async_compile.wait(globals()) 2022-11-23T01:30:36.0493112Z del async_compile 2022-11-23T01:30:36.0493117Z 2022-11-23T01:30:36.0493188Z def call(args): 2022-11-23T01:30:36.0493262Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.0493334Z args.clear() 2022-11-23T01:30:36.0493521Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0493703Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0493883Z buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0494104Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.0494202Z del arg0_1 2022-11-23T01:30:36.0494269Z del arg1_1 2022-11-23T01:30:36.0494355Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.0494359Z 2022-11-23T01:30:36.0494363Z 2022-11-23T01:30:36.0494443Z if __name__ == "__main__": 2022-11-23T01:30:36.0494559Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0494683Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0494863Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0495057Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0495172Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.0495177Z 2022-11-23T01:30:36.0495246Z ok (1.536s) 2022-11-23T01:30:36.0495586Z test_misaligned_address_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:20,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0495905Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0496127Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0496379Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0496655Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0496959Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0497307Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0497628Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0498013Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0498108Z 4453 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.0498201Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.0498292Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.0498384Z 6 LOAD_ATTR 3 (gather) 2022-11-23T01:30:36.0498479Z 8 LOAD_METHOD 4 (default) 2022-11-23T01:30:36.0498484Z 2022-11-23T01:30:36.0498582Z 4454 10 LOAD_FAST 0 (sub_tensor_1) 2022-11-23T01:30:36.0498659Z 12 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0498766Z 14 LOAD_FAST 1 (unsqueeze_default) 2022-11-23T01:30:36.0498773Z 2022-11-23T01:30:36.0498859Z 4453 16 CALL_METHOD 3 2022-11-23T01:30:36.0498964Z 18 STORE_FAST 2 (gather_default) 2022-11-23T01:30:36.0499003Z 2022-11-23T01:30:36.0499106Z 4456 20 LOAD_FAST 2 (gather_default) 2022-11-23T01:30:36.0499184Z 22 RETURN_VALUE 2022-11-23T01:30:36.0499246Z 2022-11-23T01:30:36.0499250Z 2022-11-23T01:30:36.0499566Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453 2022-11-23T01:30:36.0499770Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.0500133Z [2022-11-23 01:26:20,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.0500422Z [2022-11-23 01:26:20,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.0500764Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable()] 2022-11-23T01:30:36.0501027Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)] 2022-11-23T01:30:36.0501337Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4454 2022-11-23T01:30:36.0501622Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)] 2022-11-23T01:30:36.0501918Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()] 2022-11-23T01:30:36.0502280Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0502597Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453 2022-11-23T01:30:36.0502965Z [2022-11-23 01:26:20,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.0503211Z [2022-11-23 01:26:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()] 2022-11-23T01:30:36.0503521Z [2022-11-23 01:26:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4456 2022-11-23T01:30:36.0503750Z [2022-11-23 01:26:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default [] 2022-11-23T01:30:36.0503997Z [2022-11-23 01:26:20,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0504386Z [2022-11-23 01:26:20,503] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0504631Z [2022-11-23 01:26:20,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0504864Z [2022-11-23 01:26:20,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0505117Z [2022-11-23 01:26:20,505] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0505369Z [2022-11-23 01:26:20,508] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0505555Z [2022-11-23 01:26:20,508] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0505676Z __compiled_fn_320 .2737 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0505768Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0505855Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0506024Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {} 2022-11-23T01:30:36.0506137Z output, output, output, ((gather_default,),), {} 2022-11-23T01:30:36.0506142Z 2022-11-23T01:30:36.0506466Z [2022-11-23 01:26:20,508] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0506558Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0506650Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0506723Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0506815Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0506901Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0506989Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0507094Z 12 RETURN_VALUE 2022-11-23T01:30:36.0507099Z 2022-11-23T01:30:36.0507159Z 2022-11-23T01:30:36.0507482Z [2022-11-23 01:26:20,508] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0507577Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_320) 2022-11-23T01:30:36.0507666Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0507755Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0507831Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0507928Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0508050Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0508152Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0508266Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.0508367Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0508444Z 18 RETURN_VALUE 2022-11-23T01:30:36.0508451Z 2022-11-23T01:30:36.0508513Z 2022-11-23T01:30:36.0508704Z [2022-11-23 01:26:20,509] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0508776Z - 2022-11-23T01:30:36.0508897Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0508948Z { 2022-11-23T01:30:36.0509089Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0509278Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.0509399Z 'obj_weakref': None 2022-11-23T01:30:36.0509628Z 'guarded_class': 2022-11-23T01:30:36.0509695Z } 2022-11-23T01:30:36.0509763Z 2022-11-23T01:30:36.0509833Z - 2022-11-23T01:30:36.0509945Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0510010Z { 2022-11-23T01:30:36.0510153Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0510261Z 'code': None, 2022-11-23T01:30:36.0510472Z 'obj_weakref': 2022-11-23T01:30:36.0510727Z 'guarded_class': 2022-11-23T01:30:36.0510791Z } 2022-11-23T01:30:36.0510844Z 2022-11-23T01:30:36.0510911Z - 2022-11-23T01:30:36.0511033Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0511096Z { 2022-11-23T01:30:36.0511238Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0511344Z 'code': None, 2022-11-23T01:30:36.0511553Z 'obj_weakref': 2022-11-23T01:30:36.0511789Z 'guarded_class': 2022-11-23T01:30:36.0511854Z } 2022-11-23T01:30:36.0511915Z 2022-11-23T01:30:36.0511983Z - 2022-11-23T01:30:36.0512116Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0512180Z { 2022-11-23T01:30:36.0512312Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0512503Z 'code': ['___check_obj_id(model, 140534431377744)'], 2022-11-23T01:30:36.0512625Z 'obj_weakref': None 2022-11-23T01:30:36.0512854Z 'guarded_class': 2022-11-23T01:30:36.0512918Z } 2022-11-23T01:30:36.0512982Z 2022-11-23T01:30:36.0513049Z - 2022-11-23T01:30:36.0513170Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0513220Z { 2022-11-23T01:30:36.0513353Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0513572Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0513689Z 'obj_weakref': None 2022-11-23T01:30:36.0513909Z 'guarded_class': 2022-11-23T01:30:36.0514006Z } 2022-11-23T01:30:36.0514069Z 2022-11-23T01:30:36.0514124Z - 2022-11-23T01:30:36.0514261Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0514326Z { 2022-11-23T01:30:36.0514446Z 'guard_types': None, 2022-11-23T01:30:36.0514551Z 'code': None, 2022-11-23T01:30:36.0514667Z 'obj_weakref': None 2022-11-23T01:30:36.0514774Z 'guarded_class': None 2022-11-23T01:30:36.0514836Z } 2022-11-23T01:30:36.0514899Z 2022-11-23T01:30:36.0515158Z [2022-11-23 01:26:20,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313 2022-11-23T01:30:36.0515531Z [2022-11-23 01:26:21,959] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckheuap6atyzontzfxwblkjube5vf4eas4hrtyeac7pkgg2lp7hx.py 2022-11-23T01:30:36.0515793Z [2022-11-23 01:26:21,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313 2022-11-23T01:30:36.0515801Z 2022-11-23T01:30:36.0515894Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0515966Z import torch 2022-11-23T01:30:36.0516022Z import random 2022-11-23T01:30:36.0516137Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0516258Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0516263Z 2022-11-23T01:30:36.0516339Z aten = torch.ops.aten 2022-11-23T01:30:36.0516473Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0516566Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0516571Z 2022-11-23T01:30:36.0516575Z 2022-11-23T01:30:36.0516707Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0516911Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0517016Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.0517123Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0517222Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0517285Z { 2022-11-23T01:30:36.0517348Z { 2022-11-23T01:30:36.0517410Z { 2022-11-23T01:30:36.0517494Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.0517568Z auto tmp1 = in_ptr1[tmp0]; 2022-11-23T01:30:36.0517647Z out_ptr0[0] = tmp1; 2022-11-23T01:30:36.0517709Z } 2022-11-23T01:30:36.0517770Z } 2022-11-23T01:30:36.0517830Z } 2022-11-23T01:30:36.0517906Z ''') 2022-11-23T01:30:36.0517911Z 2022-11-23T01:30:36.0517915Z 2022-11-23T01:30:36.0518002Z async_compile.wait(globals()) 2022-11-23T01:30:36.0518061Z del async_compile 2022-11-23T01:30:36.0518079Z 2022-11-23T01:30:36.0518136Z def call(args): 2022-11-23T01:30:36.0518211Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.0518281Z args.clear() 2022-11-23T01:30:36.0518475Z buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0518640Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0518708Z del arg0_1 2022-11-23T01:30:36.0518803Z del arg1_1 2022-11-23T01:30:36.0518883Z return (buf0, ) 2022-11-23T01:30:36.0518889Z 2022-11-23T01:30:36.0518895Z 2022-11-23T01:30:36.0519007Z if __name__ == "__main__": 2022-11-23T01:30:36.0519156Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0519279Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0519486Z arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0519675Z arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0519788Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.0519793Z 2022-11-23T01:30:36.0519860Z ok (1.471s) 2022-11-23T01:30:36.0520247Z test_mm_views_cpu (__main__.CpuTests) ... [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0520611Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0520831Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0521085Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0521363Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0521685Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0522034Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0522367Z [2022-11-23 01:26:21,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0522744Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0522840Z 4126 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.0522920Z 2 LOAD_METHOD 1 (mm) 2022-11-23T01:30:36.0523012Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0523105Z 6 LOAD_METHOD 2 (view) 2022-11-23T01:30:36.0523193Z 8 LOAD_CONST 1 (32) 2022-11-23T01:30:36.0523284Z 10 LOAD_CONST 1 (32) 2022-11-23T01:30:36.0523371Z 12 CALL_METHOD 2 2022-11-23T01:30:36.0523459Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0523541Z 16 LOAD_METHOD 2 (view) 2022-11-23T01:30:36.0523627Z 18 LOAD_CONST 1 (32) 2022-11-23T01:30:36.0523717Z 20 LOAD_CONST 1 (32) 2022-11-23T01:30:36.0523805Z 22 CALL_METHOD 2 2022-11-23T01:30:36.0523892Z 24 CALL_METHOD 2 2022-11-23T01:30:36.0523970Z 26 RETURN_VALUE 2022-11-23T01:30:36.0524030Z 2022-11-23T01:30:36.0524035Z 2022-11-23T01:30:36.0524337Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4126 2022-11-23T01:30:36.0524554Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.0525005Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable()] 2022-11-23T01:30:36.0525382Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.0525735Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0526120Z [2022-11-23 01:26:21,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.0526549Z [2022-11-23 01:26:21,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:30:36.0527011Z [2022-11-23 01:26:21,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0527397Z [2022-11-23 01:26:21,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0527772Z [2022-11-23 01:26:21,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0528186Z [2022-11-23 01:26:21,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.0528638Z [2022-11-23 01:26:21,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:30:36.0529132Z [2022-11-23 01:26:21,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0529509Z [2022-11-23 01:26:21,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0529795Z [2022-11-23 01:26:21,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0530190Z [2022-11-23 01:26:21,969] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0530445Z [2022-11-23 01:26:21,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0530678Z [2022-11-23 01:26:21,969] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0530932Z [2022-11-23 01:26:21,970] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0531182Z [2022-11-23 01:26:21,974] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0531356Z [2022-11-23 01:26:21,975] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0531490Z __compiled_fn_321 .2743 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0531580Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0531666Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0531765Z call_method, view, view, (ex_0_, 32, 32), {} 2022-11-23T01:30:36.0531863Z call_method, view_1, view, (ex_1_, 32, 32), {} 2022-11-23T01:30:36.0532087Z call_function, mm, , (view, view_1), {} 2022-11-23T01:30:36.0532183Z output, output, output, ((mm,),), {} 2022-11-23T01:30:36.0532189Z 2022-11-23T01:30:36.0532536Z [2022-11-23 01:26:21,975] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0532633Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0532723Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0532811Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0532902Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0532987Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0533074Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0533149Z 12 RETURN_VALUE 2022-11-23T01:30:36.0533154Z 2022-11-23T01:30:36.0533201Z 2022-11-23T01:30:36.0533523Z [2022-11-23 01:26:21,975] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0533682Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_321) 2022-11-23T01:30:36.0533774Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0533863Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0533939Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0534026Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0534101Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0534176Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0534262Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.0534351Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0534425Z 18 RETURN_VALUE 2022-11-23T01:30:36.0534430Z 2022-11-23T01:30:36.0534490Z 2022-11-23T01:30:36.0534671Z [2022-11-23 01:26:21,976] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0534727Z - 2022-11-23T01:30:36.0534844Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0534911Z { 2022-11-23T01:30:36.0535052Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0535240Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.0535360Z 'obj_weakref': None 2022-11-23T01:30:36.0535586Z 'guarded_class': 2022-11-23T01:30:36.0535650Z } 2022-11-23T01:30:36.0535702Z 2022-11-23T01:30:36.0535772Z - 2022-11-23T01:30:36.0535894Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0535957Z { 2022-11-23T01:30:36.0536098Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0536202Z 'code': None, 2022-11-23T01:30:36.0536398Z 'obj_weakref': 2022-11-23T01:30:36.0536650Z 'guarded_class': 2022-11-23T01:30:36.0536716Z } 2022-11-23T01:30:36.0536780Z 2022-11-23T01:30:36.0536848Z - 2022-11-23T01:30:36.0536971Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0537034Z { 2022-11-23T01:30:36.0537162Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0537292Z 'code': None, 2022-11-23T01:30:36.0537499Z 'obj_weakref': 2022-11-23T01:30:36.0537750Z 'guarded_class': 2022-11-23T01:30:36.0537813Z } 2022-11-23T01:30:36.0537875Z 2022-11-23T01:30:36.0537943Z - 2022-11-23T01:30:36.0538059Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0538122Z { 2022-11-23T01:30:36.0538255Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0538421Z 'code': ['___check_obj_id(model, 140534431381776)'], 2022-11-23T01:30:36.0538542Z 'obj_weakref': None 2022-11-23T01:30:36.0538803Z 'guarded_class': 2022-11-23T01:30:36.0538866Z } 2022-11-23T01:30:36.0538928Z 2022-11-23T01:30:36.0538985Z - 2022-11-23T01:30:36.0539105Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0539168Z { 2022-11-23T01:30:36.0539302Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0539516Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0539633Z 'obj_weakref': None 2022-11-23T01:30:36.0539851Z 'guarded_class': 2022-11-23T01:30:36.0539902Z } 2022-11-23T01:30:36.0539965Z 2022-11-23T01:30:36.0540037Z - 2022-11-23T01:30:36.0540199Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0540261Z { 2022-11-23T01:30:36.0540378Z 'guard_types': None, 2022-11-23T01:30:36.0540473Z 'code': None, 2022-11-23T01:30:36.0540590Z 'obj_weakref': None 2022-11-23T01:30:36.0540709Z 'guarded_class': None 2022-11-23T01:30:36.0540772Z } 2022-11-23T01:30:36.0540834Z 2022-11-23T01:30:36.0541092Z [2022-11-23 01:26:21,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314 2022-11-23T01:30:36.0541461Z [2022-11-23 01:26:21,985] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7og2yfefstygnpgjac3tgab5i2h2koqnm6w6d6vjsfe7cbdr6zv.py 2022-11-23T01:30:36.0541725Z [2022-11-23 01:26:21,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314 2022-11-23T01:30:36.0541731Z 2022-11-23T01:30:36.0541812Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0541882Z import torch 2022-11-23T01:30:36.0541951Z import random 2022-11-23T01:30:36.0542067Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0542191Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0542196Z 2022-11-23T01:30:36.0542274Z aten = torch.ops.aten 2022-11-23T01:30:36.0542407Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0542486Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0542504Z 2022-11-23T01:30:36.0542508Z 2022-11-23T01:30:36.0542583Z async_compile.wait(globals()) 2022-11-23T01:30:36.0542656Z del async_compile 2022-11-23T01:30:36.0542661Z 2022-11-23T01:30:36.0542732Z def call(args): 2022-11-23T01:30:36.0542807Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.0542878Z args.clear() 2022-11-23T01:30:36.0543078Z buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0543198Z aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0) 2022-11-23T01:30:36.0543255Z del arg0_1 2022-11-23T01:30:36.0543322Z del arg1_1 2022-11-23T01:30:36.0543393Z return (buf0, ) 2022-11-23T01:30:36.0543398Z 2022-11-23T01:30:36.0543402Z 2022-11-23T01:30:36.0543483Z if __name__ == "__main__": 2022-11-23T01:30:36.0543597Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0543719Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0543918Z arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0544126Z arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0544227Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.0544232Z 2022-11-23T01:30:36.0544303Z ok (0.026s) 2022-11-23T01:30:36.0544615Z test_move_arange_cpu (__main__.CpuTests) ... [2022-11-23 01:26:21,988] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0544931Z [2022-11-23 01:26:21,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0545185Z [2022-11-23 01:26:21,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0545441Z [2022-11-23 01:26:21,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0545718Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0546036Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0546380Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0546704Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0547097Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0547196Z 2422 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.0547288Z 2 LOAD_ATTR 1 (arange) 2022-11-23T01:30:36.0547381Z 4 LOAD_GLOBAL 2 (len) 2022-11-23T01:30:36.0547472Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0547572Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0547711Z 10 LOAD_CONST 1 ('cpu') 2022-11-23T01:30:36.0547858Z 12 LOAD_CONST 2 (('device',)) 2022-11-23T01:30:36.0547938Z 14 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.0548031Z 16 LOAD_METHOD 3 (to) 2022-11-23T01:30:36.0548123Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0548215Z 20 LOAD_ATTR 4 (device) 2022-11-23T01:30:36.0548303Z 22 CALL_METHOD 1 2022-11-23T01:30:36.0548393Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0548467Z 26 BINARY_ADD 2022-11-23T01:30:36.0548530Z 28 RETURN_VALUE 2022-11-23T01:30:36.0548590Z 2022-11-23T01:30:36.0548596Z 2022-11-23T01:30:36.0548912Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2422 2022-11-23T01:30:36.0549131Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.0549499Z [2022-11-23 01:26:21,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:30:36.0549828Z [2022-11-23 01:26:21,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable()] 2022-11-23T01:30:36.0550192Z [2022-11-23 01:26:21,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), BuiltinVariable(len)] 2022-11-23T01:30:36.0550584Z [2022-11-23 01:26:21,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), BuiltinVariable(len), TensorVariable()] 2022-11-23T01:30:36.0550947Z [2022-11-23 01:26:21,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0551358Z [2022-11-23 01:26:21,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:30:36.0551838Z [2022-11-23 01:26:21,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:36.0552065Z [2022-11-23 01:26:21,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()] 2022-11-23T01:30:36.0552337Z [2022-11-23 01:26:21,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:30:36.0552640Z [2022-11-23 01:26:21,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()] 2022-11-23T01:30:36.0552945Z [2022-11-23 01:26:21,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)] 2022-11-23T01:30:36.0553180Z [2022-11-23 01:26:21,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.0553485Z [2022-11-23 01:26:21,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0553734Z [2022-11-23 01:26:21,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0554110Z [2022-11-23 01:26:21,993] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0554356Z [2022-11-23 01:26:21,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0554587Z [2022-11-23 01:26:21,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0554828Z [2022-11-23 01:26:21,994] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0555080Z [2022-11-23 01:26:21,997] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0555269Z [2022-11-23 01:26:21,997] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0555407Z __compiled_fn_322 .2749 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0555496Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0555745Z call_function, arange, , (32,), {'device': 'cpu'} 2022-11-23T01:30:36.0555906Z call_method, to, to, (arange, device(type='cpu')), {} 2022-11-23T01:30:36.0556079Z call_function, add, , (to, ex_0_), {} 2022-11-23T01:30:36.0556161Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.0556179Z 2022-11-23T01:30:36.0556489Z [2022-11-23 01:26:21,997] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0556583Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0556676Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0556764Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0556861Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0556946Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0557033Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0557098Z 12 RETURN_VALUE 2022-11-23T01:30:36.0557102Z 2022-11-23T01:30:36.0557163Z 2022-11-23T01:30:36.0557484Z [2022-11-23 01:26:21,998] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0557594Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_322) 2022-11-23T01:30:36.0557683Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0557772Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0557847Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0557934Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0558014Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0558087Z 12 RETURN_VALUE 2022-11-23T01:30:36.0558092Z 2022-11-23T01:30:36.0558183Z 2022-11-23T01:30:36.0558369Z [2022-11-23 01:26:21,998] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0558438Z - 2022-11-23T01:30:36.0558557Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0558623Z { 2022-11-23T01:30:36.0558751Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0558935Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0559053Z 'obj_weakref': None 2022-11-23T01:30:36.0559277Z 'guarded_class': 2022-11-23T01:30:36.0559342Z } 2022-11-23T01:30:36.0559405Z 2022-11-23T01:30:36.0559473Z - 2022-11-23T01:30:36.0559582Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:36.0559675Z { 2022-11-23T01:30:36.0559813Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.0560069Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:36.0560291Z 'obj_weakref': 2022-11-23T01:30:36.0560543Z 'guarded_class': 2022-11-23T01:30:36.0560608Z } 2022-11-23T01:30:36.0560659Z 2022-11-23T01:30:36.0560727Z - 2022-11-23T01:30:36.0560850Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0560912Z { 2022-11-23T01:30:36.0561054Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0561159Z 'code': None, 2022-11-23T01:30:36.0561366Z 'obj_weakref': 2022-11-23T01:30:36.0561604Z 'guarded_class': 2022-11-23T01:30:36.0561670Z } 2022-11-23T01:30:36.0561736Z 2022-11-23T01:30:36.0561804Z - 2022-11-23T01:30:36.0561936Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0562000Z { 2022-11-23T01:30:36.0562135Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0562318Z 'code': ['___check_obj_id(model, 140534620204208)'], 2022-11-23T01:30:36.0562435Z 'obj_weakref': None 2022-11-23T01:30:36.0562664Z 'guarded_class': 2022-11-23T01:30:36.0562727Z } 2022-11-23T01:30:36.0562791Z 2022-11-23T01:30:36.0562858Z - 2022-11-23T01:30:36.0562977Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0563028Z { 2022-11-23T01:30:36.0563161Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0563375Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0563495Z 'obj_weakref': None 2022-11-23T01:30:36.0563716Z 'guarded_class': 2022-11-23T01:30:36.0563779Z } 2022-11-23T01:30:36.0563842Z 2022-11-23T01:30:36.0563897Z - 2022-11-23T01:30:36.0564023Z global 'len' BUILTIN_MATCH 2022-11-23T01:30:36.0564085Z { 2022-11-23T01:30:36.0564203Z 'guard_types': None, 2022-11-23T01:30:36.0564307Z 'code': None, 2022-11-23T01:30:36.0564422Z 'obj_weakref': None 2022-11-23T01:30:36.0564541Z 'guarded_class': None 2022-11-23T01:30:36.0564591Z } 2022-11-23T01:30:36.0564654Z 2022-11-23T01:30:36.0564722Z - 2022-11-23T01:30:36.0564972Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0565035Z { 2022-11-23T01:30:36.0565157Z 'guard_types': None, 2022-11-23T01:30:36.0565249Z 'code': None, 2022-11-23T01:30:36.0565364Z 'obj_weakref': None 2022-11-23T01:30:36.0565539Z 'guarded_class': None 2022-11-23T01:30:36.0565605Z } 2022-11-23T01:30:36.0565668Z 2022-11-23T01:30:36.0565929Z [2022-11-23 01:26:22,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315 2022-11-23T01:30:36.0566296Z [2022-11-23 01:26:23,468] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k2/ck2bvyt5qwtrhm4noeaz26dd62ehajpl7ord2qq5u57epaxulhlk.py 2022-11-23T01:30:36.0566562Z [2022-11-23 01:26:23,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315 2022-11-23T01:30:36.0566568Z 2022-11-23T01:30:36.0566649Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0566719Z import torch 2022-11-23T01:30:36.0566788Z import random 2022-11-23T01:30:36.0566903Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0567068Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0567073Z 2022-11-23T01:30:36.0567150Z aten = torch.ops.aten 2022-11-23T01:30:36.0567287Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0567377Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0567382Z 2022-11-23T01:30:36.0567386Z 2022-11-23T01:30:36.0567509Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0567712Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0567834Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0567934Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0567995Z { 2022-11-23T01:30:36.0568090Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0568150Z { 2022-11-23T01:30:36.0568215Z #pragma omp for 2022-11-23T01:30:36.0568298Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.0568362Z { 2022-11-23T01:30:36.0568425Z { 2022-11-23T01:30:36.0568488Z { 2022-11-23T01:30:36.0568581Z auto tmp2 = in_ptr0[i0]; 2022-11-23T01:30:36.0568687Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:36.0568781Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.0568871Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.0568955Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.0569019Z } 2022-11-23T01:30:36.0569081Z } 2022-11-23T01:30:36.0569144Z } 2022-11-23T01:30:36.0569204Z } 2022-11-23T01:30:36.0569250Z } 2022-11-23T01:30:36.0569327Z ''') 2022-11-23T01:30:36.0569332Z 2022-11-23T01:30:36.0569336Z 2022-11-23T01:30:36.0569424Z async_compile.wait(globals()) 2022-11-23T01:30:36.0569495Z del async_compile 2022-11-23T01:30:36.0569500Z 2022-11-23T01:30:36.0569569Z def call(args): 2022-11-23T01:30:36.0569637Z arg0_1, = args 2022-11-23T01:30:36.0569709Z args.clear() 2022-11-23T01:30:36.0569890Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0570025Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0570092Z del arg0_1 2022-11-23T01:30:36.0570162Z return (buf0, ) 2022-11-23T01:30:36.0570167Z 2022-11-23T01:30:36.0570171Z 2022-11-23T01:30:36.0570245Z if __name__ == "__main__": 2022-11-23T01:30:36.0570358Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0570480Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0570673Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0570767Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0570771Z 2022-11-23T01:30:36.0570836Z ok (1.484s) 2022-11-23T01:30:36.0570973Z test_multi_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:30:36.0571119Z test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s) 2022-11-23T01:30:36.0571267Z test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s) 2022-11-23T01:30:36.0571596Z test_narrow_cpu (__main__.CpuTests) ... [2022-11-23 01:26:23,474] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0571913Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0572131Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0572384Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0572648Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0572968Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0573343Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0573668Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0574043Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0574139Z 3600 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0574232Z 2 LOAD_METHOD 1 (narrow) 2022-11-23T01:30:36.0574321Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0574410Z 6 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0574491Z 8 LOAD_CONST 2 (10) 2022-11-23T01:30:36.0574579Z 10 LOAD_CONST 3 (16) 2022-11-23T01:30:36.0574670Z 12 CALL_METHOD 4 2022-11-23T01:30:36.0574764Z 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0574856Z 16 LOAD_METHOD 1 (narrow) 2022-11-23T01:30:36.0574945Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.0575031Z 20 LOAD_CONST 4 (2) 2022-11-23T01:30:36.0575091Z 22 BINARY_ADD 2022-11-23T01:30:36.0575177Z 24 LOAD_CONST 5 (0) 2022-11-23T01:30:36.0575265Z 26 LOAD_CONST 2 (10) 2022-11-23T01:30:36.0575353Z 28 LOAD_CONST 3 (16) 2022-11-23T01:30:36.0575439Z 30 CALL_METHOD 4 2022-11-23T01:30:36.0575525Z 32 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0575597Z 34 BINARY_ADD 2022-11-23T01:30:36.0575674Z 36 BUILD_TUPLE 2 2022-11-23T01:30:36.0575750Z 38 RETURN_VALUE 2022-11-23T01:30:36.0575810Z 2022-11-23T01:30:36.0575817Z 2022-11-23T01:30:36.0576133Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3600 2022-11-23T01:30:36.0576349Z [2022-11-23 01:26:23,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0576654Z [2022-11-23 01:26:23,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable()] 2022-11-23T01:30:36.0576906Z [2022-11-23 01:26:23,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)] 2022-11-23T01:30:36.0577186Z [2022-11-23 01:26:23,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()] 2022-11-23T01:30:36.0577503Z [2022-11-23 01:26:23,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0577875Z [2022-11-23 01:26:23,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0578273Z [2022-11-23 01:26:23,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0578517Z [2022-11-23 01:26:23,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.0578847Z [2022-11-23 01:26:23,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0579128Z [2022-11-23 01:26:23,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)] 2022-11-23T01:30:36.0579488Z [2022-11-23 01:26:23,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()] 2022-11-23T01:30:36.0579840Z [2022-11-23 01:26:23,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0580145Z [2022-11-23 01:26:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()] 2022-11-23T01:30:36.0580490Z [2022-11-23 01:26:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0580873Z [2022-11-23 01:26:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0581302Z [2022-11-23 01:26:23,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0581569Z [2022-11-23 01:26:23,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0581865Z [2022-11-23 01:26:23,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0582129Z [2022-11-23 01:26:23,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0582375Z [2022-11-23 01:26:23,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0582750Z [2022-11-23 01:26:23,492] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0582999Z [2022-11-23 01:26:23,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0583233Z [2022-11-23 01:26:23,492] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0583488Z [2022-11-23 01:26:23,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0583737Z [2022-11-23 01:26:23,497] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0583925Z [2022-11-23 01:26:23,497] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0584058Z __compiled_fn_323 .2755 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0584134Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0584253Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {} 2022-11-23T01:30:36.0584427Z call_function, add, , (ex_0_, 2), {} 2022-11-23T01:30:36.0584541Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {} 2022-11-23T01:30:36.0584749Z call_function, add_1, , (narrow_1, 1), {} 2022-11-23T01:30:36.0584856Z output, output, output, ((narrow, add_1),), {} 2022-11-23T01:30:36.0584861Z 2022-11-23T01:30:36.0585186Z [2022-11-23 01:26:23,498] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0585279Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0585355Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0585440Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0585531Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0585616Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0585704Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0585809Z 12 RETURN_VALUE 2022-11-23T01:30:36.0585814Z 2022-11-23T01:30:36.0585873Z 2022-11-23T01:30:36.0586185Z [2022-11-23 01:26:23,498] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0586294Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_323) 2022-11-23T01:30:36.0586382Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0586474Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0586548Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0586634Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0586735Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0586836Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0586911Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0586986Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0587087Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0587177Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0587253Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0587342Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0587417Z 26 RETURN_VALUE 2022-11-23T01:30:36.0587421Z 2022-11-23T01:30:36.0587469Z 2022-11-23T01:30:36.0587651Z [2022-11-23 01:26:23,498] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0587720Z - 2022-11-23T01:30:36.0587838Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0587902Z { 2022-11-23T01:30:36.0588041Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0588224Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0588330Z 'obj_weakref': None 2022-11-23T01:30:36.0588558Z 'guarded_class': 2022-11-23T01:30:36.0588625Z } 2022-11-23T01:30:36.0588688Z 2022-11-23T01:30:36.0588757Z - 2022-11-23T01:30:36.0588880Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0588943Z { 2022-11-23T01:30:36.0589074Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0589181Z 'code': None, 2022-11-23T01:30:36.0589396Z 'obj_weakref': 2022-11-23T01:30:36.0589650Z 'guarded_class': 2022-11-23T01:30:36.0589714Z } 2022-11-23T01:30:36.0589777Z 2022-11-23T01:30:36.0589846Z - 2022-11-23T01:30:36.0589963Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0590027Z { 2022-11-23T01:30:36.0590160Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0590328Z 'code': ['___check_obj_id(model, 140534431381776)'], 2022-11-23T01:30:36.0590448Z 'obj_weakref': None 2022-11-23T01:30:36.0590677Z 'guarded_class': 2022-11-23T01:30:36.0590771Z } 2022-11-23T01:30:36.0590824Z 2022-11-23T01:30:36.0590894Z - 2022-11-23T01:30:36.0591014Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0591078Z { 2022-11-23T01:30:36.0591212Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0591425Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0591542Z 'obj_weakref': None 2022-11-23T01:30:36.0591751Z 'guarded_class': 2022-11-23T01:30:36.0591815Z } 2022-11-23T01:30:36.0591878Z 2022-11-23T01:30:36.0591947Z - 2022-11-23T01:30:36.0592081Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0592144Z { 2022-11-23T01:30:36.0592314Z 'guard_types': None, 2022-11-23T01:30:36.0592406Z 'code': None, 2022-11-23T01:30:36.0592521Z 'obj_weakref': None 2022-11-23T01:30:36.0592645Z 'guarded_class': None 2022-11-23T01:30:36.0592711Z } 2022-11-23T01:30:36.0592773Z 2022-11-23T01:30:36.0593029Z [2022-11-23 01:26:23,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316 2022-11-23T01:30:36.0593397Z [2022-11-23 01:26:24,975] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmefrvkcde4x7df3k65iqbdlio77jpn3yfrse2t6xb42upwni3u.py 2022-11-23T01:30:36.0593651Z [2022-11-23 01:26:24,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316 2022-11-23T01:30:36.0593668Z 2022-11-23T01:30:36.0593749Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0593817Z import torch 2022-11-23T01:30:36.0593889Z import random 2022-11-23T01:30:36.0594008Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0594129Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0594134Z 2022-11-23T01:30:36.0594213Z aten = torch.ops.aten 2022-11-23T01:30:36.0594348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0594426Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0594431Z 2022-11-23T01:30:36.0594448Z 2022-11-23T01:30:36.0594568Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0594773Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0594891Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0594992Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0595054Z { 2022-11-23T01:30:36.0595151Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0595214Z { 2022-11-23T01:30:36.0595278Z #pragma omp for 2022-11-23T01:30:36.0595360Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:36.0595426Z { 2022-11-23T01:30:36.0595576Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 640 + (8*i0)); 2022-11-23T01:30:36.0595712Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.0595797Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0595929Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.0596001Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0596091Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.0596154Z } 2022-11-23T01:30:36.0596249Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0596334Z for(long i0=1024; i0<1024; i0+=1) 2022-11-23T01:30:36.0596398Z { 2022-11-23T01:30:36.0596488Z auto tmp0 = in_ptr0[640 + i0]; 2022-11-23T01:30:36.0596573Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.0596656Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0596756Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.0596840Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0596919Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.0597009Z } 2022-11-23T01:30:36.0597073Z } 2022-11-23T01:30:36.0597120Z } 2022-11-23T01:30:36.0597198Z ''') 2022-11-23T01:30:36.0597203Z 2022-11-23T01:30:36.0597207Z 2022-11-23T01:30:36.0597294Z async_compile.wait(globals()) 2022-11-23T01:30:36.0597367Z del async_compile 2022-11-23T01:30:36.0597372Z 2022-11-23T01:30:36.0597442Z def call(args): 2022-11-23T01:30:36.0597511Z arg0_1, = args 2022-11-23T01:30:36.0597582Z args.clear() 2022-11-23T01:30:36.0597770Z buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0597905Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0598010Z return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, ) 2022-11-23T01:30:36.0598015Z 2022-11-23T01:30:36.0598047Z 2022-11-23T01:30:36.0598124Z if __name__ == "__main__": 2022-11-23T01:30:36.0598237Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0598360Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0598559Z arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0598664Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0598669Z 2022-11-23T01:30:36.0598734Z ok (1.505s) 2022-11-23T01:30:36.0599043Z test_new_empty_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:26:24,979] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0599360Z [2022-11-23 01:26:24,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0599579Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0599832Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0600214Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0600537Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0600888Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0601211Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0601588Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0601687Z 3814 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0601782Z 2 LOAD_METHOD 1 (new_empty_strided) 2022-11-23T01:30:36.0601875Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0601963Z 6 BUILD_LIST 0 2022-11-23T01:30:36.0602059Z 8 LOAD_CONST 1 ((1, 128, 128)) 2022-11-23T01:30:36.0602145Z 10 LIST_EXTEND 1 2022-11-23T01:30:36.0602229Z 12 BUILD_LIST 0 2022-11-23T01:30:36.0602325Z 14 LOAD_CONST 2 ((16384, 128, 1)) 2022-11-23T01:30:36.0602398Z 16 LIST_EXTEND 1 2022-11-23T01:30:36.0602482Z 18 CALL_METHOD 3 2022-11-23T01:30:36.0602575Z 20 LOAD_METHOD 2 (fill_) 2022-11-23T01:30:36.0602662Z 22 LOAD_CONST 3 (123) 2022-11-23T01:30:36.0602747Z 24 CALL_METHOD 1 2022-11-23T01:30:36.0602825Z 26 RETURN_VALUE 2022-11-23T01:30:36.0602884Z 2022-11-23T01:30:36.0602889Z 2022-11-23T01:30:36.0603256Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3814 2022-11-23T01:30:36.0603476Z [2022-11-23 01:26:24,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0603800Z [2022-11-23 01:26:24,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable()] 2022-11-23T01:30:36.0604067Z [2022-11-23 01:26:24,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)] 2022-11-23T01:30:36.0604363Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable()] 2022-11-23T01:30:36.0604696Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 128, 128) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0605225Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.0605549Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0605910Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16384, 128, 1) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0606301Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.0606649Z [2022-11-23 01:26:24,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.0606895Z [2022-11-23 01:26:24,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()] 2022-11-23T01:30:36.0607160Z [2022-11-23 01:26:24,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)] 2022-11-23T01:30:36.0607474Z [2022-11-23 01:26:24,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)] 2022-11-23T01:30:36.0607719Z [2022-11-23 01:26:24,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0608101Z [2022-11-23 01:26:24,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0608350Z [2022-11-23 01:26:24,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0608584Z [2022-11-23 01:26:24,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0608837Z [2022-11-23 01:26:24,991] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0609085Z [2022-11-23 01:26:24,994] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0609271Z [2022-11-23 01:26:24,994] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0609403Z __compiled_fn_324 .2761 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0609480Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0609632Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {} 2022-11-23T01:30:36.0609748Z call_method, fill_, fill_, (new_empty_strided, 123), {} 2022-11-23T01:30:36.0609845Z output, output, output, ((fill_,),), {} 2022-11-23T01:30:36.0609850Z 2022-11-23T01:30:36.0610221Z [2022-11-23 01:26:24,994] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0610317Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0610407Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0610494Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0610573Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0610658Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0610747Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0610823Z 12 RETURN_VALUE 2022-11-23T01:30:36.0610828Z 2022-11-23T01:30:36.0610890Z 2022-11-23T01:30:36.0611211Z [2022-11-23 01:26:24,994] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0611357Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_324) 2022-11-23T01:30:36.0611434Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0611527Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0611603Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0611690Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0611780Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.0611854Z 12 RETURN_VALUE 2022-11-23T01:30:36.0611859Z 2022-11-23T01:30:36.0611918Z 2022-11-23T01:30:36.0612100Z [2022-11-23 01:26:24,995] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0612156Z - 2022-11-23T01:30:36.0612276Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0612340Z { 2022-11-23T01:30:36.0612480Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0612664Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0612785Z 'obj_weakref': None 2022-11-23T01:30:36.0613010Z 'guarded_class': 2022-11-23T01:30:36.0613062Z } 2022-11-23T01:30:36.0613126Z 2022-11-23T01:30:36.0613195Z - 2022-11-23T01:30:36.0613317Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0613379Z { 2022-11-23T01:30:36.0613519Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0613612Z 'code': None, 2022-11-23T01:30:36.0613820Z 'obj_weakref': 2022-11-23T01:30:36.0614072Z 'guarded_class': 2022-11-23T01:30:36.0614137Z } 2022-11-23T01:30:36.0614198Z 2022-11-23T01:30:36.0614266Z - 2022-11-23T01:30:36.0614396Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0614458Z { 2022-11-23T01:30:36.0614581Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0614747Z 'code': ['___check_obj_id(model, 140534429134576)'], 2022-11-23T01:30:36.0614868Z 'obj_weakref': None 2022-11-23T01:30:36.0615100Z 'guarded_class': 2022-11-23T01:30:36.0615163Z } 2022-11-23T01:30:36.0615225Z 2022-11-23T01:30:36.0615291Z - 2022-11-23T01:30:36.0615399Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0615463Z { 2022-11-23T01:30:36.0615595Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0615808Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0615925Z 'obj_weakref': None 2022-11-23T01:30:36.0616144Z 'guarded_class': 2022-11-23T01:30:36.0616208Z } 2022-11-23T01:30:36.0616258Z 2022-11-23T01:30:36.0616327Z - 2022-11-23T01:30:36.0616459Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0616522Z { 2022-11-23T01:30:36.0616681Z 'guard_types': None, 2022-11-23T01:30:36.0616788Z 'code': None, 2022-11-23T01:30:36.0616890Z 'obj_weakref': None 2022-11-23T01:30:36.0617009Z 'guarded_class': None 2022-11-23T01:30:36.0617071Z } 2022-11-23T01:30:36.0617133Z 2022-11-23T01:30:36.0617390Z [2022-11-23 01:26:25,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317 2022-11-23T01:30:36.0617754Z [2022-11-23 01:26:26,419] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w3/cw3dmwo3zra7ebgc5rm52klklloz7chig2pdi57mcvygiehocul4.py 2022-11-23T01:30:36.0618016Z [2022-11-23 01:26:26,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317 2022-11-23T01:30:36.0618050Z 2022-11-23T01:30:36.0618143Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0618199Z import torch 2022-11-23T01:30:36.0618268Z import random 2022-11-23T01:30:36.0618383Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0618505Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0618510Z 2022-11-23T01:30:36.0618588Z aten = torch.ops.aten 2022-11-23T01:30:36.0618721Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0618812Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0618817Z 2022-11-23T01:30:36.0618822Z 2022-11-23T01:30:36.0618954Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0619147Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0619262Z extern "C" void kernel(float* __restrict__ out_ptr0) 2022-11-23T01:30:36.0619322Z { 2022-11-23T01:30:36.0619419Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0619482Z { 2022-11-23T01:30:36.0619559Z #pragma omp for 2022-11-23T01:30:36.0619642Z for(long i0=0; i0<2048; i0+=1) 2022-11-23T01:30:36.0619692Z { 2022-11-23T01:30:36.0619834Z auto tmp0 = at::vec::Vectorized(static_cast(123)); 2022-11-23T01:30:36.0619926Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.0619988Z } 2022-11-23T01:30:36.0620081Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0620169Z for(long i0=16384; i0<16384; i0+=1) 2022-11-23T01:30:36.0620230Z { 2022-11-23T01:30:36.0620317Z auto tmp0 = static_cast(123); 2022-11-23T01:30:36.0620397Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.0620458Z } 2022-11-23T01:30:36.0620518Z } 2022-11-23T01:30:36.0620578Z } 2022-11-23T01:30:36.0620655Z ''') 2022-11-23T01:30:36.0620660Z 2022-11-23T01:30:36.0620664Z 2022-11-23T01:30:36.0620751Z async_compile.wait(globals()) 2022-11-23T01:30:36.0620810Z del async_compile 2022-11-23T01:30:36.0620818Z 2022-11-23T01:30:36.0620888Z def call(args): 2022-11-23T01:30:36.0620956Z arg0_1, = args 2022-11-23T01:30:36.0621025Z args.clear() 2022-11-23T01:30:36.0621240Z buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0621341Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.0621411Z return (buf0, ) 2022-11-23T01:30:36.0621416Z 2022-11-23T01:30:36.0621420Z 2022-11-23T01:30:36.0621493Z if __name__ == "__main__": 2022-11-23T01:30:36.0621592Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0621714Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0621906Z arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0622012Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0622016Z 2022-11-23T01:30:36.0622082Z ok (1.444s) 2022-11-23T01:30:36.0622386Z test_new_ones_cpu (__main__.CpuTests) ... [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0622734Z [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0622955Z [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0623195Z [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0623471Z [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0623788Z [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0624134Z [2022-11-23 01:26:26,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0624497Z [2022-11-23 01:26:26,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0624869Z [2022-11-23 01:26:26,425] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0624963Z 2795 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0625057Z 2 LOAD_ATTR 1 (new_ones) 2022-11-23T01:30:36.0625064Z 2022-11-23T01:30:36.0625153Z 2796 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0625240Z 6 BUILD_LIST 0 2022-11-23T01:30:36.0625315Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0625407Z 10 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.0625495Z 12 LOAD_CONST 1 (6) 2022-11-23T01:30:36.0625585Z 14 LOAD_CONST 2 (0) 2022-11-23T01:30:36.0625675Z 16 LOAD_CONST 3 (False) 2022-11-23T01:30:36.0625680Z 2022-11-23T01:30:36.0625881Z 2795 18 LOAD_CONST 4 (('device', 'dtype', 'layout', 'pin_memory')) 2022-11-23T01:30:36.0625970Z 20 CALL_FUNCTION_KW 6 2022-11-23T01:30:36.0625976Z 2022-11-23T01:30:36.0626068Z 2798 22 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0626150Z 24 LOAD_ATTR 3 (new_zeros) 2022-11-23T01:30:36.0626155Z 2022-11-23T01:30:36.0626242Z 2799 26 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0626327Z 28 BUILD_LIST 0 2022-11-23T01:30:36.0626412Z 30 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0626505Z 32 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.0626592Z 34 LOAD_CONST 1 (6) 2022-11-23T01:30:36.0626678Z 36 LOAD_CONST 2 (0) 2022-11-23T01:30:36.0626758Z 38 LOAD_CONST 3 (False) 2022-11-23T01:30:36.0626775Z 2022-11-23T01:30:36.0626965Z 2798 40 LOAD_CONST 4 (('device', 'dtype', 'layout', 'pin_memory')) 2022-11-23T01:30:36.0627058Z 42 CALL_FUNCTION_KW 6 2022-11-23T01:30:36.0627063Z 2022-11-23T01:30:36.0627152Z 2794 44 BUILD_TUPLE 2 2022-11-23T01:30:36.0627228Z 46 RETURN_VALUE 2022-11-23T01:30:36.0627290Z 2022-11-23T01:30:36.0627294Z 2022-11-23T01:30:36.0627609Z [2022-11-23 01:26:26,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795 2022-11-23T01:30:36.0627824Z [2022-11-23 01:26:26,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0628130Z [2022-11-23 01:26:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable()] 2022-11-23T01:30:36.0628429Z [2022-11-23 01:26:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2796 2022-11-23T01:30:36.0628710Z [2022-11-23 01:26:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)] 2022-11-23T01:30:36.0628995Z [2022-11-23 01:26:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()] 2022-11-23T01:30:36.0629301Z [2022-11-23 01:26:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0629641Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.0629976Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.0630393Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)] 2022-11-23T01:30:36.0630814Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0631126Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795 2022-11-23T01:30:36.0631642Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.0632151Z [2022-11-23 01:26:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.0632464Z [2022-11-23 01:26:26,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798 2022-11-23T01:30:36.0632708Z [2022-11-23 01:26:26,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.0633045Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.0633341Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2799 2022-11-23T01:30:36.0633628Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)] 2022-11-23T01:30:36.0633941Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()] 2022-11-23T01:30:36.0634276Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.0634649Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.0635016Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.0635424Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)] 2022-11-23T01:30:36.0635904Z [2022-11-23 01:26:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0636220Z [2022-11-23 01:26:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798 2022-11-23T01:30:36.0636764Z [2022-11-23 01:26:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.0637302Z [2022-11-23 01:26:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.0637645Z [2022-11-23 01:26:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2794 2022-11-23T01:30:36.0637913Z [2022-11-23 01:26:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0638144Z [2022-11-23 01:26:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0638524Z [2022-11-23 01:26:26,442] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0638769Z [2022-11-23 01:26:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0639004Z [2022-11-23 01:26:26,442] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0639260Z [2022-11-23 01:26:26,443] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0639510Z [2022-11-23 01:26:26,446] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0639698Z [2022-11-23 01:26:26,447] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0639832Z __compiled_fn_325 .2767 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0639922Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0640273Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False} 2022-11-23T01:30:36.0640557Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False} 2022-11-23T01:30:36.0640676Z output, output, output, ((new_ones, new_zeros),), {} 2022-11-23T01:30:36.0640683Z 2022-11-23T01:30:36.0641009Z [2022-11-23 01:26:26,447] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0641104Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0641194Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0641281Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0641373Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0641458Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0641533Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0641610Z 12 RETURN_VALUE 2022-11-23T01:30:36.0641615Z 2022-11-23T01:30:36.0641675Z 2022-11-23T01:30:36.0641997Z [2022-11-23 01:26:26,447] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0642106Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_325) 2022-11-23T01:30:36.0642230Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0642322Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0642387Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0642474Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.0642577Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0642678Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0642771Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0642847Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.0642947Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0643033Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0643096Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0643184Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.0643292Z 26 RETURN_VALUE 2022-11-23T01:30:36.0643297Z 2022-11-23T01:30:36.0643357Z 2022-11-23T01:30:36.0643539Z [2022-11-23 01:26:26,448] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0643609Z - 2022-11-23T01:30:36.0643727Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0643778Z { 2022-11-23T01:30:36.0643917Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0644104Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.0644224Z 'obj_weakref': None 2022-11-23T01:30:36.0644448Z 'guarded_class': 2022-11-23T01:30:36.0644513Z } 2022-11-23T01:30:36.0644576Z 2022-11-23T01:30:36.0644632Z - 2022-11-23T01:30:36.0644843Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:36.0644909Z { 2022-11-23T01:30:36.0645052Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.0645220Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:36.0645433Z 'obj_weakref': 2022-11-23T01:30:36.0645687Z 'guarded_class': 2022-11-23T01:30:36.0645738Z } 2022-11-23T01:30:36.0645802Z 2022-11-23T01:30:36.0645871Z - 2022-11-23T01:30:36.0645994Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0646057Z { 2022-11-23T01:30:36.0646198Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0646303Z 'code': None, 2022-11-23T01:30:36.0646499Z 'obj_weakref': 2022-11-23T01:30:36.0646750Z 'guarded_class': 2022-11-23T01:30:36.0646816Z } 2022-11-23T01:30:36.0646879Z 2022-11-23T01:30:36.0646948Z - 2022-11-23T01:30:36.0647077Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0647142Z { 2022-11-23T01:30:36.0647262Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0647432Z 'code': ['___check_obj_id(model, 140534620130176)'], 2022-11-23T01:30:36.0647550Z 'obj_weakref': None 2022-11-23T01:30:36.0647779Z 'guarded_class': 2022-11-23T01:30:36.0647842Z } 2022-11-23T01:30:36.0647905Z 2022-11-23T01:30:36.0647973Z - 2022-11-23T01:30:36.0648081Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0648146Z { 2022-11-23T01:30:36.0648280Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0648494Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0648612Z 'obj_weakref': None 2022-11-23T01:30:36.0648878Z 'guarded_class': 2022-11-23T01:30:36.0648943Z } 2022-11-23T01:30:36.0648993Z 2022-11-23T01:30:36.0649062Z - 2022-11-23T01:30:36.0649192Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0649255Z { 2022-11-23T01:30:36.0649373Z 'guard_types': None, 2022-11-23T01:30:36.0649481Z 'code': None, 2022-11-23T01:30:36.0649597Z 'obj_weakref': None 2022-11-23T01:30:36.0649704Z 'guarded_class': None 2022-11-23T01:30:36.0649767Z } 2022-11-23T01:30:36.0649829Z 2022-11-23T01:30:36.0650089Z [2022-11-23 01:26:26,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318 2022-11-23T01:30:36.0650459Z [2022-11-23 01:26:27,898] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebs3dpuecfm7ugllnj5tqhjsqbrzbpw6tax5lshr3uz354yfypf.py 2022-11-23T01:30:36.0650766Z [2022-11-23 01:26:27,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318 2022-11-23T01:30:36.0650771Z 2022-11-23T01:30:36.0650863Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0650931Z import torch 2022-11-23T01:30:36.0650988Z import random 2022-11-23T01:30:36.0651100Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0651219Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0651225Z 2022-11-23T01:30:36.0651301Z aten = torch.ops.aten 2022-11-23T01:30:36.0651433Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0651523Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0651528Z 2022-11-23T01:30:36.0651532Z 2022-11-23T01:30:36.0651663Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0651864Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0651967Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:30:36.0652064Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.0652126Z { 2022-11-23T01:30:36.0652188Z { 2022-11-23T01:30:36.0652250Z { 2022-11-23T01:30:36.0652349Z auto tmp0 = static_cast(1); 2022-11-23T01:30:36.0652414Z out_ptr0[0] = tmp0; 2022-11-23T01:30:36.0652477Z } 2022-11-23T01:30:36.0652538Z } 2022-11-23T01:30:36.0652597Z { 2022-11-23T01:30:36.0652658Z { 2022-11-23T01:30:36.0652752Z auto tmp0 = static_cast(0); 2022-11-23T01:30:36.0652829Z out_ptr1[0] = tmp0; 2022-11-23T01:30:36.0652877Z } 2022-11-23T01:30:36.0652937Z } 2022-11-23T01:30:36.0652995Z } 2022-11-23T01:30:36.0653071Z ''') 2022-11-23T01:30:36.0653076Z 2022-11-23T01:30:36.0653080Z 2022-11-23T01:30:36.0653168Z async_compile.wait(globals()) 2022-11-23T01:30:36.0653240Z del async_compile 2022-11-23T01:30:36.0653247Z 2022-11-23T01:30:36.0653317Z def call(args): 2022-11-23T01:30:36.0653374Z arg0_1, = args 2022-11-23T01:30:36.0653446Z args.clear() 2022-11-23T01:30:36.0653634Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0653813Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0653944Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.0654020Z return (buf0, buf1, ) 2022-11-23T01:30:36.0654025Z 2022-11-23T01:30:36.0654030Z 2022-11-23T01:30:36.0654103Z if __name__ == "__main__": 2022-11-23T01:30:36.0654215Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0654324Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0654514Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0654620Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.0654625Z 2022-11-23T01:30:36.0654692Z ok (1.479s) 2022-11-23T01:30:36.0655035Z test_nll_loss_forward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0655354Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0655571Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0655823Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0656097Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0656401Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0656747Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0657099Z [2022-11-23 01:26:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0657476Z [2022-11-23 01:26:27,905] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0657573Z 3343 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.0657678Z 2 LOAD_METHOD 1 (nll_loss_forward) 2022-11-23T01:30:36.0657769Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.0657856Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.0657948Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:36.0658023Z 10 LOAD_CONST 1 (1) 2022-11-23T01:30:36.0658162Z 12 LOAD_CONST 2 (-100) 2022-11-23T01:30:36.0658249Z 14 CALL_METHOD 5 2022-11-23T01:30:36.0658327Z 16 RETURN_VALUE 2022-11-23T01:30:36.0658386Z 2022-11-23T01:30:36.0658391Z 2022-11-23T01:30:36.0658700Z [2022-11-23 01:26:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3343 2022-11-23T01:30:36.0658913Z [2022-11-23 01:26:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.0659231Z [2022-11-23 01:26:27,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable()] 2022-11-23T01:30:36.0659487Z [2022-11-23 01:26:27,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)] 2022-11-23T01:30:36.0659783Z [2022-11-23 01:26:27,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()] 2022-11-23T01:30:36.0660117Z [2022-11-23 01:26:27,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0660487Z [2022-11-23 01:26:27,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.0660901Z [2022-11-23 01:26:27,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.0661353Z [2022-11-23 01:26:27,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.0661601Z [2022-11-23 01:26:27,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0662004Z [2022-11-23 01:26:27,915] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0662249Z [2022-11-23 01:26:27,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.0662481Z [2022-11-23 01:26:27,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0662734Z [2022-11-23 01:26:27,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0662967Z [2022-11-23 01:26:27,921] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0663157Z [2022-11-23 01:26:27,921] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0663318Z __compiled_fn_326 .2773 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0663406Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0663493Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0663715Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {} 2022-11-23T01:30:36.0663922Z call_function, getitem, , (nll_loss_forward, 0), {} 2022-11-23T01:30:36.0664128Z call_function, getitem_1, , (nll_loss_forward, 1), {} 2022-11-23T01:30:36.0664227Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.0664244Z 2022-11-23T01:30:36.0664555Z [2022-11-23 01:26:27,921] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0664649Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0664739Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0664827Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0664919Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0665003Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0665092Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0665155Z 12 RETURN_VALUE 2022-11-23T01:30:36.0665160Z 2022-11-23T01:30:36.0665220Z 2022-11-23T01:30:36.0665539Z [2022-11-23 01:26:27,921] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0665647Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_326) 2022-11-23T01:30:36.0665736Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0665824Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0665899Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0665985Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0666058Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0666135Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0666223Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.0666328Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0666428Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0666516Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0666590Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.0666677Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0666764Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0666839Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.0666924Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.0666997Z 32 RETURN_VALUE 2022-11-23T01:30:36.0667002Z 2022-11-23T01:30:36.0667062Z 2022-11-23T01:30:36.0667243Z [2022-11-23 01:26:27,922] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0667300Z - 2022-11-23T01:30:36.0667419Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0667482Z { 2022-11-23T01:30:36.0667621Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0667831Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.0667951Z 'obj_weakref': None 2022-11-23T01:30:36.0668175Z 'guarded_class': 2022-11-23T01:30:36.0668227Z } 2022-11-23T01:30:36.0668291Z 2022-11-23T01:30:36.0668360Z - 2022-11-23T01:30:36.0668483Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0668547Z { 2022-11-23T01:30:36.0668686Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0668790Z 'code': None, 2022-11-23T01:30:36.0668986Z 'obj_weakref': 2022-11-23T01:30:36.0669239Z 'guarded_class': 2022-11-23T01:30:36.0669344Z } 2022-11-23T01:30:36.0669406Z 2022-11-23T01:30:36.0669474Z - 2022-11-23T01:30:36.0669598Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0669661Z { 2022-11-23T01:30:36.0669788Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0669892Z 'code': None, 2022-11-23T01:30:36.0670102Z 'obj_weakref': 2022-11-23T01:30:36.0670349Z 'guarded_class': 2022-11-23T01:30:36.0670412Z } 2022-11-23T01:30:36.0670475Z 2022-11-23T01:30:36.0670543Z - 2022-11-23T01:30:36.0670662Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0670726Z { 2022-11-23T01:30:36.0670858Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0671027Z 'code': ['___check_obj_id(model, 140534427728576)'], 2022-11-23T01:30:36.0671143Z 'obj_weakref': None 2022-11-23T01:30:36.0671373Z 'guarded_class': 2022-11-23T01:30:36.0671436Z } 2022-11-23T01:30:36.0671487Z 2022-11-23T01:30:36.0671554Z - 2022-11-23T01:30:36.0671674Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0671736Z { 2022-11-23T01:30:36.0671869Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0672081Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0672197Z 'obj_weakref': None 2022-11-23T01:30:36.0672405Z 'guarded_class': 2022-11-23T01:30:36.0672468Z } 2022-11-23T01:30:36.0672531Z 2022-11-23T01:30:36.0672600Z - 2022-11-23T01:30:36.0672734Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.0672796Z { 2022-11-23T01:30:36.0672914Z 'guard_types': None, 2022-11-23T01:30:36.0673008Z 'code': None, 2022-11-23T01:30:36.0673125Z 'obj_weakref': None 2022-11-23T01:30:36.0673246Z 'guarded_class': None 2022-11-23T01:30:36.0673309Z } 2022-11-23T01:30:36.0673372Z 2022-11-23T01:30:36.0673630Z [2022-11-23 01:26:27,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319 2022-11-23T01:30:36.0674002Z [2022-11-23 01:26:29,402] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cviojxip4tya6exltikfnwwo6jw6dspslowlmxwuphg2km5tgijj.py 2022-11-23T01:30:36.0674265Z [2022-11-23 01:26:29,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319 2022-11-23T01:30:36.0674270Z 2022-11-23T01:30:36.0674351Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0674423Z import torch 2022-11-23T01:30:36.0674498Z import random 2022-11-23T01:30:36.0674613Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0674762Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0674767Z 2022-11-23T01:30:36.0674845Z aten = torch.ops.aten 2022-11-23T01:30:36.0674978Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0675057Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0675062Z 2022-11-23T01:30:36.0675079Z 2022-11-23T01:30:36.0675199Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0675401Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0675517Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.0675624Z const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.0675729Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0675826Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.0675916Z { 2022-11-23T01:30:36.0675989Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:30:36.0676052Z { 2022-11-23T01:30:36.0676115Z { 2022-11-23T01:30:36.0676193Z float tmp3 = 0; 2022-11-23T01:30:36.0676299Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0676362Z { 2022-11-23T01:30:36.0676466Z #pragma omp for reduction(+:tmp3) 2022-11-23T01:30:36.0676541Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:30:36.0676607Z { 2022-11-23T01:30:36.0676673Z { 2022-11-23T01:30:36.0676771Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.0676876Z auto tmp1 = in_ptr1[tmp0 + (5*i0)]; 2022-11-23T01:30:36.0677004Z auto tmp2 = -tmp1; 2022-11-23T01:30:36.0677084Z tmp3 += tmp2; 2022-11-23T01:30:36.0677139Z } 2022-11-23T01:30:36.0677203Z } 2022-11-23T01:30:36.0677271Z } 2022-11-23T01:30:36.0677349Z out_ptr0[0] = tmp3; 2022-11-23T01:30:36.0677412Z } 2022-11-23T01:30:36.0677473Z } 2022-11-23T01:30:36.0677523Z { 2022-11-23T01:30:36.0677586Z { 2022-11-23T01:30:36.0677672Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:30:36.0677774Z auto tmp1 = static_cast(5); 2022-11-23T01:30:36.0677860Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.0677941Z in_out_ptr0[0] = tmp2; 2022-11-23T01:30:36.0678003Z } 2022-11-23T01:30:36.0678052Z } 2022-11-23T01:30:36.0678112Z { 2022-11-23T01:30:36.0678175Z { 2022-11-23T01:30:36.0678276Z auto tmp0 = static_cast(5.0); 2022-11-23T01:30:36.0678354Z out_ptr1[0] = tmp0; 2022-11-23T01:30:36.0678416Z } 2022-11-23T01:30:36.0678464Z } 2022-11-23T01:30:36.0678523Z } 2022-11-23T01:30:36.0678601Z ''') 2022-11-23T01:30:36.0678606Z 2022-11-23T01:30:36.0678610Z 2022-11-23T01:30:36.0678701Z async_compile.wait(globals()) 2022-11-23T01:30:36.0678775Z del async_compile 2022-11-23T01:30:36.0678779Z 2022-11-23T01:30:36.0678848Z def call(args): 2022-11-23T01:30:36.0678925Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.0678996Z args.clear() 2022-11-23T01:30:36.0679168Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0679251Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:36.0679436Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0679627Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.0679695Z del arg0_1 2022-11-23T01:30:36.0679762Z del arg1_1 2022-11-23T01:30:36.0679839Z return (buf1, buf2, ) 2022-11-23T01:30:36.0679843Z 2022-11-23T01:30:36.0679848Z 2022-11-23T01:30:36.0679922Z if __name__ == "__main__": 2022-11-23T01:30:36.0680108Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.0680236Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.0680435Z arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.0680657Z arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.0680774Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.0680780Z 2022-11-23T01:30:36.0680846Z ok (1.504s) 2022-11-23T01:30:36.0681187Z test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.0681505Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.0681710Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.0681965Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.0682274Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.0682595Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0682940Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0683271Z [2022-11-23 01:26:29,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.0683640Z [2022-11-23 01:26:29,431] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.0683736Z 2406 0 LOAD_FAST 0 (args) 2022-11-23T01:30:36.0683826Z 2 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0683891Z 4 BINARY_SUBSCR 2022-11-23T01:30:36.0683984Z 6 STORE_FAST 1 (x) 2022-11-23T01:30:36.0683990Z 2022-11-23T01:30:36.0684081Z 2407 8 LOAD_GLOBAL 0 (range) 2022-11-23T01:30:36.0684169Z 10 LOAD_DEREF 0 (n) 2022-11-23T01:30:36.0684257Z 12 CALL_FUNCTION 1 2022-11-23T01:30:36.0684328Z 14 GET_ITER 2022-11-23T01:30:36.0684418Z >> 16 FOR_ITER 10 (to 38) 2022-11-23T01:30:36.0684507Z 18 STORE_FAST 2 (i) 2022-11-23T01:30:36.0684512Z 2022-11-23T01:30:36.0684591Z 2408 20 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:36.0684682Z 22 LOAD_METHOD 2 (add) 2022-11-23T01:30:36.0684870Z 24 LOAD_FAST 1 (x) 2022-11-23T01:30:36.0684964Z 26 LOAD_FAST 0 (args) 2022-11-23T01:30:36.0685050Z 28 LOAD_FAST 2 (i) 2022-11-23T01:30:36.0685129Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.0685216Z 32 CALL_METHOD 2 2022-11-23T01:30:36.0685291Z 34 STORE_FAST 1 (x) 2022-11-23T01:30:36.0685385Z 36 JUMP_ABSOLUTE 8 (to 16) 2022-11-23T01:30:36.0685390Z 2022-11-23T01:30:36.0685475Z 2409 >> 38 LOAD_FAST 1 (x) 2022-11-23T01:30:36.0685551Z 40 RETURN_VALUE 2022-11-23T01:30:36.0685613Z 2022-11-23T01:30:36.0685618Z 2022-11-23T01:30:36.0685933Z [2022-11-23 01:26:29,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2406 2022-11-23T01:30:36.0686145Z [2022-11-23 01:26:29,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [] 2022-11-23T01:30:36.0686384Z [2022-11-23 01:26:29,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:30:36.0686723Z [2022-11-23 01:26:29,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0686952Z [2022-11-23 01:26:29,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:36.0687261Z [2022-11-23 01:26:29,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2407 2022-11-23T01:30:36.0687478Z [2022-11-23 01:26:29,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [] 2022-11-23T01:30:36.0687724Z [2022-11-23 01:26:29,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)] 2022-11-23T01:30:36.0688011Z [2022-11-23 01:26:29,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)] 2022-11-23T01:30:36.0688248Z [2022-11-23 01:26:29,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()] 2022-11-23T01:30:36.0688536Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0688825Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0689137Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2408 2022-11-23T01:30:36.0689393Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0689786Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0690146Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0690543Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0690954Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0691416Z [2022-11-23 01:26:29,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0691836Z [2022-11-23 01:26:29,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0692120Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0692378Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0692625Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0692913Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0693171Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0693574Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0693973Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0694367Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0694785Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0695249Z [2022-11-23 01:26:29,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0695700Z [2022-11-23 01:26:29,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0695976Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0696235Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0696485Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0696768Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0697027Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0697435Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0697798Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0698190Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0698594Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0699060Z [2022-11-23 01:26:29,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0699486Z [2022-11-23 01:26:29,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0699765Z [2022-11-23 01:26:29,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0700022Z [2022-11-23 01:26:29,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0700273Z [2022-11-23 01:26:29,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0700561Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0700820Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0701252Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0701613Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0702000Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0702416Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0702906Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0703329Z [2022-11-23 01:26:29,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0703594Z [2022-11-23 01:26:29,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0703854Z [2022-11-23 01:26:29,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0704102Z [2022-11-23 01:26:29,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0704385Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0704648Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0705049Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0705407Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0705794Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0706202Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0706669Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0707092Z [2022-11-23 01:26:29,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0707371Z [2022-11-23 01:26:29,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0707615Z [2022-11-23 01:26:29,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0707864Z [2022-11-23 01:26:29,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0708189Z [2022-11-23 01:26:29,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0708450Z [2022-11-23 01:26:29,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0708853Z [2022-11-23 01:26:29,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0709210Z [2022-11-23 01:26:29,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0709596Z [2022-11-23 01:26:29,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0710038Z [2022-11-23 01:26:29,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0710497Z [2022-11-23 01:26:29,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0710916Z [2022-11-23 01:26:29,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0711195Z [2022-11-23 01:26:29,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0711452Z [2022-11-23 01:26:29,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0711695Z [2022-11-23 01:26:29,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0711980Z [2022-11-23 01:26:29,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0712236Z [2022-11-23 01:26:29,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0712641Z [2022-11-23 01:26:29,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0713001Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0713390Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0713809Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0714279Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0714700Z [2022-11-23 01:26:29,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0714980Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0715266Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0715518Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0715792Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0716051Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0716452Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0716809Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0717240Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0717652Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0718111Z [2022-11-23 01:26:29,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0718530Z [2022-11-23 01:26:29,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0718812Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0719072Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0719317Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0719600Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0719854Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0720337Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0720708Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0721099Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0721510Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0721979Z [2022-11-23 01:26:29,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0722404Z [2022-11-23 01:26:29,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0722727Z [2022-11-23 01:26:29,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0722987Z [2022-11-23 01:26:29,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0723237Z [2022-11-23 01:26:29,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0723521Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0723779Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0724180Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0724557Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0725044Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0725463Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0725924Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0726355Z [2022-11-23 01:26:29,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0726636Z [2022-11-23 01:26:29,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0726897Z [2022-11-23 01:26:29,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0727145Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0727433Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0727689Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0728097Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0728456Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0728848Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0729244Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0729753Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0730177Z [2022-11-23 01:26:29,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0730458Z [2022-11-23 01:26:29,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0730718Z [2022-11-23 01:26:29,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0730966Z [2022-11-23 01:26:29,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0731251Z [2022-11-23 01:26:29,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0731549Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0731955Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0732310Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0732698Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0733110Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0733578Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0734002Z [2022-11-23 01:26:29,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0734267Z [2022-11-23 01:26:29,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0734526Z [2022-11-23 01:26:29,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0734774Z [2022-11-23 01:26:29,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0735062Z [2022-11-23 01:26:29,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0735320Z [2022-11-23 01:26:29,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0735727Z [2022-11-23 01:26:29,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0736087Z [2022-11-23 01:26:29,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0736476Z [2022-11-23 01:26:29,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0736918Z [2022-11-23 01:26:29,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0737385Z [2022-11-23 01:26:29,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0737806Z [2022-11-23 01:26:29,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0738084Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0738327Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0738605Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0738896Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0739152Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0739554Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0739910Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0740295Z [2022-11-23 01:26:29,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0740712Z [2022-11-23 01:26:29,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0741172Z [2022-11-23 01:26:29,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0741590Z [2022-11-23 01:26:29,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0741867Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0742128Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0742365Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0742651Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0742909Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0743308Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0743667Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0744086Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0744496Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0744962Z [2022-11-23 01:26:29,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0745383Z [2022-11-23 01:26:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0745692Z [2022-11-23 01:26:29,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0745951Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0746202Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0746489Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0746734Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0747139Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0747500Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0747891Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0748306Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0748770Z [2022-11-23 01:26:29,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0749188Z [2022-11-23 01:26:29,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0749468Z [2022-11-23 01:26:29,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0749727Z [2022-11-23 01:26:29,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0749976Z [2022-11-23 01:26:29,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0750263Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0750521Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0750909Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0751301Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0751693Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0752104Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0752571Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0753025Z [2022-11-23 01:26:29,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0753304Z [2022-11-23 01:26:29,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0753558Z [2022-11-23 01:26:29,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0753805Z [2022-11-23 01:26:29,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0754093Z [2022-11-23 01:26:29,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0754351Z [2022-11-23 01:26:29,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0754755Z [2022-11-23 01:26:29,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0755114Z [2022-11-23 01:26:29,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0755490Z [2022-11-23 01:26:29,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0755904Z [2022-11-23 01:26:29,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0756366Z [2022-11-23 01:26:29,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0756789Z [2022-11-23 01:26:29,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0757069Z [2022-11-23 01:26:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0757328Z [2022-11-23 01:26:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0757577Z [2022-11-23 01:26:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0757864Z [2022-11-23 01:26:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0758123Z [2022-11-23 01:26:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0758557Z [2022-11-23 01:26:29,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0758920Z [2022-11-23 01:26:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0759308Z [2022-11-23 01:26:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0759720Z [2022-11-23 01:26:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0760289Z [2022-11-23 01:26:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0760716Z [2022-11-23 01:26:29,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0760998Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0761254Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0761504Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0761795Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0762057Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0762460Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0762816Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0763203Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0763616Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0764083Z [2022-11-23 01:26:29,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0764505Z [2022-11-23 01:26:29,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0764852Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0765117Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0765369Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0765697Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0765959Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0766361Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0766720Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0767110Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0767572Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0768035Z [2022-11-23 01:26:29,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0768458Z [2022-11-23 01:26:29,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0768737Z [2022-11-23 01:26:29,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0768983Z [2022-11-23 01:26:29,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0769235Z [2022-11-23 01:26:29,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0769521Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0769780Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0770181Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0770538Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0770933Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0771345Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0771809Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0772227Z [2022-11-23 01:26:29,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0772507Z [2022-11-23 01:26:29,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0772794Z [2022-11-23 01:26:29,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0773032Z [2022-11-23 01:26:29,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0773319Z [2022-11-23 01:26:29,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0773577Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0773979Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0774339Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0774761Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0775172Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0775634Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0776055Z [2022-11-23 01:26:29,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0776338Z [2022-11-23 01:26:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0776594Z [2022-11-23 01:26:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0776842Z [2022-11-23 01:26:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0777128Z [2022-11-23 01:26:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0777373Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0777777Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0778137Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0778526Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0778935Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0779395Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0779841Z [2022-11-23 01:26:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0780120Z [2022-11-23 01:26:29,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0780378Z [2022-11-23 01:26:29,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0780624Z [2022-11-23 01:26:29,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0780907Z [2022-11-23 01:26:29,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0781162Z [2022-11-23 01:26:29,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0781582Z [2022-11-23 01:26:29,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0781942Z [2022-11-23 01:26:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0782332Z [2022-11-23 01:26:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0782741Z [2022-11-23 01:26:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0783202Z [2022-11-23 01:26:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0783625Z [2022-11-23 01:26:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0783902Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0784157Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0784405Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0784692Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0784952Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0785356Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0785714Z [2022-11-23 01:26:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0786089Z [2022-11-23 01:26:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0786503Z [2022-11-23 01:26:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0786999Z [2022-11-23 01:26:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0787421Z [2022-11-23 01:26:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0787699Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0787958Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0788206Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0788491Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0788780Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0789182Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0789541Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0789926Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0790336Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0790790Z [2022-11-23 01:26:29,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0791208Z [2022-11-23 01:26:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0791486Z [2022-11-23 01:26:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0791742Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0791991Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0792283Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0792540Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0792942Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0793297Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0793681Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0794128Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0794591Z [2022-11-23 01:26:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0795013Z [2022-11-23 01:26:29,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0795276Z [2022-11-23 01:26:29,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0795534Z [2022-11-23 01:26:29,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0795813Z [2022-11-23 01:26:29,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0796097Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0796354Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0796754Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0797113Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0797502Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0797913Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0798377Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0798798Z [2022-11-23 01:26:29,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0799077Z [2022-11-23 01:26:29,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0799327Z [2022-11-23 01:26:29,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0799577Z [2022-11-23 01:26:29,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0799861Z [2022-11-23 01:26:29,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0800195Z [2022-11-23 01:26:29,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0800601Z [2022-11-23 01:26:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0800957Z [2022-11-23 01:26:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0801379Z [2022-11-23 01:26:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0801792Z [2022-11-23 01:26:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0802254Z [2022-11-23 01:26:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0802673Z [2022-11-23 01:26:29,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0803010Z [2022-11-23 01:26:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0803266Z [2022-11-23 01:26:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0803514Z [2022-11-23 01:26:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0803785Z [2022-11-23 01:26:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0804041Z [2022-11-23 01:26:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0804441Z [2022-11-23 01:26:29,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0804886Z [2022-11-23 01:26:29,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0805281Z [2022-11-23 01:26:29,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0805691Z [2022-11-23 01:26:29,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0806155Z [2022-11-23 01:26:29,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0806584Z [2022-11-23 01:26:29,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0806866Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0807125Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0807374Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0807661Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0807908Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0808315Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0808718Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0809109Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0809526Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0809986Z [2022-11-23 01:26:29,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0810445Z [2022-11-23 01:26:29,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0810722Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0810979Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0811226Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0811512Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0811769Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0812168Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0812528Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0812917Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0813326Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0813796Z [2022-11-23 01:26:29,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0814220Z [2022-11-23 01:26:29,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0814496Z [2022-11-23 01:26:29,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0814752Z [2022-11-23 01:26:29,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0815004Z [2022-11-23 01:26:29,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0815290Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0815577Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0815983Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0816340Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0816716Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0817130Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0817633Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0818058Z [2022-11-23 01:26:29,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0818336Z [2022-11-23 01:26:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0818594Z [2022-11-23 01:26:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0818844Z [2022-11-23 01:26:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0819130Z [2022-11-23 01:26:29,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0819389Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0819790Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0820148Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0820662Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0821082Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0821534Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0821954Z [2022-11-23 01:26:29,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0822232Z [2022-11-23 01:26:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0822486Z [2022-11-23 01:26:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0822738Z [2022-11-23 01:26:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0823064Z [2022-11-23 01:26:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0823325Z [2022-11-23 01:26:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0823727Z [2022-11-23 01:26:29,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0824087Z [2022-11-23 01:26:29,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0824473Z [2022-11-23 01:26:29,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0824930Z [2022-11-23 01:26:29,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0825394Z [2022-11-23 01:26:29,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0825814Z [2022-11-23 01:26:29,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0826079Z [2022-11-23 01:26:29,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0826342Z [2022-11-23 01:26:29,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0826590Z [2022-11-23 01:26:29,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0826877Z [2022-11-23 01:26:29,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0827197Z [2022-11-23 01:26:29,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0827596Z [2022-11-23 01:26:29,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0827954Z [2022-11-23 01:26:29,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0828348Z [2022-11-23 01:26:29,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0828760Z [2022-11-23 01:26:29,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0829223Z [2022-11-23 01:26:29,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0829644Z [2022-11-23 01:26:29,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0829926Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0830198Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0830449Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0830737Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0830995Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0831525Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0831989Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0832382Z [2022-11-23 01:26:29,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0832794Z [2022-11-23 01:26:29,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0833252Z [2022-11-23 01:26:29,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0833671Z [2022-11-23 01:26:29,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0833955Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0834246Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0834530Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0834804Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0835062Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0835464Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0835827Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0836215Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0836625Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0837087Z [2022-11-23 01:26:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0837540Z [2022-11-23 01:26:29,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0837821Z [2022-11-23 01:26:29,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0838078Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0838325Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0838634Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0838881Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0839317Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0839677Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0840150Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0840569Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0841034Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0841462Z [2022-11-23 01:26:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0841741Z [2022-11-23 01:26:29,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0842000Z [2022-11-23 01:26:29,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0842250Z [2022-11-23 01:26:29,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0842536Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0842796Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0843189Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0843550Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0843946Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0844360Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0844972Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0845404Z [2022-11-23 01:26:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0845684Z [2022-11-23 01:26:29,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0845941Z [2022-11-23 01:26:29,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0846192Z [2022-11-23 01:26:29,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0846519Z [2022-11-23 01:26:29,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0846781Z [2022-11-23 01:26:29,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0847185Z [2022-11-23 01:26:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0847543Z [2022-11-23 01:26:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0847924Z [2022-11-23 01:26:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0848339Z [2022-11-23 01:26:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0848807Z [2022-11-23 01:26:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0849227Z [2022-11-23 01:26:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0849507Z [2022-11-23 01:26:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0849767Z [2022-11-23 01:26:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0850019Z [2022-11-23 01:26:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0850306Z [2022-11-23 01:26:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0850564Z [2022-11-23 01:26:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0850966Z [2022-11-23 01:26:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0851325Z [2022-11-23 01:26:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0851715Z [2022-11-23 01:26:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0852161Z [2022-11-23 01:26:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0852616Z [2022-11-23 01:26:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0853040Z [2022-11-23 01:26:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0853320Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0853608Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0853860Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0854149Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0854406Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0854811Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0855169Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0855560Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0855975Z [2022-11-23 01:26:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0856438Z [2022-11-23 01:26:29,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0856861Z [2022-11-23 01:26:29,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0857131Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0857392Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0857641Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0857925Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0858184Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0858591Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0858954Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0859378Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0859791Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0860256Z [2022-11-23 01:26:29,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0860681Z [2022-11-23 01:26:29,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0860992Z [2022-11-23 01:26:29,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0861252Z [2022-11-23 01:26:29,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0861489Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0861779Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0862036Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0862439Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0862800Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0863187Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0863601Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0864063Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0864486Z [2022-11-23 01:26:29,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0864764Z [2022-11-23 01:26:29,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0865023Z [2022-11-23 01:26:29,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0865270Z [2022-11-23 01:26:29,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0865545Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0865804Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0866236Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0866599Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0866989Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0867396Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0867863Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0868327Z [2022-11-23 01:26:29,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0868606Z [2022-11-23 01:26:29,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0868864Z [2022-11-23 01:26:29,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0869112Z [2022-11-23 01:26:29,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0869397Z [2022-11-23 01:26:29,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0869645Z [2022-11-23 01:26:29,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0870050Z [2022-11-23 01:26:29,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0870407Z [2022-11-23 01:26:29,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0870796Z [2022-11-23 01:26:29,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0871213Z [2022-11-23 01:26:29,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0871682Z [2022-11-23 01:26:29,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0872103Z [2022-11-23 01:26:29,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0872381Z [2022-11-23 01:26:29,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0872641Z [2022-11-23 01:26:29,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0872888Z [2022-11-23 01:26:29,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0873174Z [2022-11-23 01:26:29,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0873463Z [2022-11-23 01:26:29,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0873854Z [2022-11-23 01:26:29,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0874216Z [2022-11-23 01:26:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0874607Z [2022-11-23 01:26:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0875018Z [2022-11-23 01:26:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0875518Z [2022-11-23 01:26:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0875939Z [2022-11-23 01:26:29,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0876218Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0876475Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0876723Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0877015Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0877273Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:30:36.0877675Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0878032Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.0878410Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.0878829Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.0879295Z [2022-11-23 01:26:29,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.0879712Z [2022-11-23 01:26:29,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.0880064Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.0880330Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()] 2022-11-23T01:30:36.0880616Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()] 2022-11-23T01:30:36.0880929Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2409 2022-11-23T01:30:36.0881135Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.0881378Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0881753Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.0881997Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.0882254Z [2022-11-23 01:26:29,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.0882511Z [2022-11-23 01:26:29,532] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.0882762Z [2022-11-23 01:26:29,568] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.0882949Z [2022-11-23 01:26:29,568] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.0883084Z __compiled_fn_327 .2779 opcode, name, target, args, kwargs 2022-11-23T01:30:36.0883176Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.0883263Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.0883347Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.0883418Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.0883501Z placeholder, ex_4_, ex_4_, (), {} 2022-11-23T01:30:36.0883585Z placeholder, ex_5_, ex_5_, (), {} 2022-11-23T01:30:36.0883670Z placeholder, ex_6_, ex_6_, (), {} 2022-11-23T01:30:36.0883753Z placeholder, ex_7_, ex_7_, (), {} 2022-11-23T01:30:36.0883834Z placeholder, ex_8_, ex_8_, (), {} 2022-11-23T01:30:36.0883919Z placeholder, ex_9_, ex_9_, (), {} 2022-11-23T01:30:36.0883993Z placeholder, ex_10_, ex_10_, (), {} 2022-11-23T01:30:36.0884077Z placeholder, ex_11_, ex_11_, (), {} 2022-11-23T01:30:36.0884161Z placeholder, ex_12_, ex_12_, (), {} 2022-11-23T01:30:36.0884244Z placeholder, ex_13_, ex_13_, (), {} 2022-11-23T01:30:36.0884325Z placeholder, ex_14_, ex_14_, (), {} 2022-11-23T01:30:36.0884409Z placeholder, ex_15_, ex_15_, (), {} 2022-11-23T01:30:36.0884490Z placeholder, ex_16_, ex_16_, (), {} 2022-11-23T01:30:36.0884561Z placeholder, ex_17_, ex_17_, (), {} 2022-11-23T01:30:36.0884643Z placeholder, ex_18_, ex_18_, (), {} 2022-11-23T01:30:36.0884730Z placeholder, ex_19_, ex_19_, (), {} 2022-11-23T01:30:36.0884912Z placeholder, ex_20_, ex_20_, (), {} 2022-11-23T01:30:36.0884996Z placeholder, ex_21_, ex_21_, (), {} 2022-11-23T01:30:36.0885081Z placeholder, ex_22_, ex_22_, (), {} 2022-11-23T01:30:36.0885164Z placeholder, ex_23_, ex_23_, (), {} 2022-11-23T01:30:36.0885234Z placeholder, ex_24_, ex_24_, (), {} 2022-11-23T01:30:36.0885320Z placeholder, ex_25_, ex_25_, (), {} 2022-11-23T01:30:36.0885401Z placeholder, ex_26_, ex_26_, (), {} 2022-11-23T01:30:36.0885485Z placeholder, ex_27_, ex_27_, (), {} 2022-11-23T01:30:36.0885567Z placeholder, ex_28_, ex_28_, (), {} 2022-11-23T01:30:36.0885651Z placeholder, ex_29_, ex_29_, (), {} 2022-11-23T01:30:36.0885720Z placeholder, ex_30_, ex_30_, (), {} 2022-11-23T01:30:36.0885802Z placeholder, ex_31_, ex_31_, (), {} 2022-11-23T01:30:36.0885884Z placeholder, ex_32_, ex_32_, (), {} 2022-11-23T01:30:36.0885967Z placeholder, ex_33_, ex_33_, (), {} 2022-11-23T01:30:36.0886049Z placeholder, ex_34_, ex_34_, (), {} 2022-11-23T01:30:36.0886132Z placeholder, ex_35_, ex_35_, (), {} 2022-11-23T01:30:36.0886214Z placeholder, ex_36_, ex_36_, (), {} 2022-11-23T01:30:36.0886284Z placeholder, ex_37_, ex_37_, (), {} 2022-11-23T01:30:36.0886370Z placeholder, ex_38_, ex_38_, (), {} 2022-11-23T01:30:36.0886453Z placeholder, ex_39_, ex_39_, (), {} 2022-11-23T01:30:36.0886535Z placeholder, ex_40_, ex_40_, (), {} 2022-11-23T01:30:36.0886670Z placeholder, ex_41_, ex_41_, (), {} 2022-11-23T01:30:36.0886755Z placeholder, ex_42_, ex_42_, (), {} 2022-11-23T01:30:36.0886839Z placeholder, ex_43_, ex_43_, (), {} 2022-11-23T01:30:36.0886908Z placeholder, ex_44_, ex_44_, (), {} 2022-11-23T01:30:36.0886991Z placeholder, ex_45_, ex_45_, (), {} 2022-11-23T01:30:36.0887073Z placeholder, ex_46_, ex_46_, (), {} 2022-11-23T01:30:36.0887156Z placeholder, ex_47_, ex_47_, (), {} 2022-11-23T01:30:36.0887239Z placeholder, ex_48_, ex_48_, (), {} 2022-11-23T01:30:36.0887320Z placeholder, ex_49_, ex_49_, (), {} 2022-11-23T01:30:36.0887558Z call_function, add, , (ex_0_, ex_0_), {} 2022-11-23T01:30:36.0887776Z call_function, add_1, , (add, ex_1_), {} 2022-11-23T01:30:36.0888046Z call_function, add_2, , (add_1, ex_2_), {} 2022-11-23T01:30:36.0888277Z call_function, add_3, , (add_2, ex_3_), {} 2022-11-23T01:30:36.0888506Z call_function, add_4, , (add_3, ex_4_), {} 2022-11-23T01:30:36.0888736Z call_function, add_5, , (add_4, ex_5_), {} 2022-11-23T01:30:36.0888963Z call_function, add_6, , (add_5, ex_6_), {} 2022-11-23T01:30:36.0889190Z call_function, add_7, , (add_6, ex_7_), {} 2022-11-23T01:30:36.0889417Z call_function, add_8, , (add_7, ex_8_), {} 2022-11-23T01:30:36.0889644Z call_function, add_9, , (add_8, ex_9_), {} 2022-11-23T01:30:36.0889868Z call_function, add_10, , (add_9, ex_10_), {} 2022-11-23T01:30:36.0890106Z call_function, add_11, , (add_10, ex_11_), {} 2022-11-23T01:30:36.0890336Z call_function, add_12, , (add_11, ex_12_), {} 2022-11-23T01:30:36.0890562Z call_function, add_13, , (add_12, ex_13_), {} 2022-11-23T01:30:36.0890784Z call_function, add_14, , (add_13, ex_14_), {} 2022-11-23T01:30:36.0891005Z call_function, add_15, , (add_14, ex_15_), {} 2022-11-23T01:30:36.0891225Z call_function, add_16, , (add_15, ex_16_), {} 2022-11-23T01:30:36.0891445Z call_function, add_17, , (add_16, ex_17_), {} 2022-11-23T01:30:36.0891667Z call_function, add_18, , (add_17, ex_18_), {} 2022-11-23T01:30:36.0891879Z call_function, add_19, , (add_18, ex_19_), {} 2022-11-23T01:30:36.0892100Z call_function, add_20, , (add_19, ex_20_), {} 2022-11-23T01:30:36.0892321Z call_function, add_21, , (add_20, ex_21_), {} 2022-11-23T01:30:36.0892542Z call_function, add_22, , (add_21, ex_22_), {} 2022-11-23T01:30:36.0892764Z call_function, add_23, , (add_22, ex_23_), {} 2022-11-23T01:30:36.0892985Z call_function, add_24, , (add_23, ex_24_), {} 2022-11-23T01:30:36.0893207Z call_function, add_25, , (add_24, ex_25_), {} 2022-11-23T01:30:36.0893429Z call_function, add_26, , (add_25, ex_26_), {} 2022-11-23T01:30:36.0893682Z call_function, add_27, , (add_26, ex_27_), {} 2022-11-23T01:30:36.0893890Z call_function, add_28, , (add_27, ex_28_), {} 2022-11-23T01:30:36.0894112Z call_function, add_29, , (add_28, ex_29_), {} 2022-11-23T01:30:36.0894334Z call_function, add_30, , (add_29, ex_30_), {} 2022-11-23T01:30:36.0894554Z call_function, add_31, , (add_30, ex_31_), {} 2022-11-23T01:30:36.0894774Z call_function, add_32, , (add_31, ex_32_), {} 2022-11-23T01:30:36.0894996Z call_function, add_33, , (add_32, ex_33_), {} 2022-11-23T01:30:36.0895247Z call_function, add_34, , (add_33, ex_34_), {} 2022-11-23T01:30:36.0895470Z call_function, add_35, , (add_34, ex_35_), {} 2022-11-23T01:30:36.0895679Z call_function, add_36, , (add_35, ex_36_), {} 2022-11-23T01:30:36.0895901Z call_function, add_37, , (add_36, ex_37_), {} 2022-11-23T01:30:36.0896121Z call_function, add_38, , (add_37, ex_38_), {} 2022-11-23T01:30:36.0896342Z call_function, add_39, , (add_38, ex_39_), {} 2022-11-23T01:30:36.0896563Z call_function, add_40, , (add_39, ex_40_), {} 2022-11-23T01:30:36.0896785Z call_function, add_41, , (add_40, ex_41_), {} 2022-11-23T01:30:36.0897009Z call_function, add_42, , (add_41, ex_42_), {} 2022-11-23T01:30:36.0897231Z call_function, add_43, , (add_42, ex_43_), {} 2022-11-23T01:30:36.0897452Z call_function, add_44, , (add_43, ex_44_), {} 2022-11-23T01:30:36.0897659Z call_function, add_45, , (add_44, ex_45_), {} 2022-11-23T01:30:36.0897880Z call_function, add_46, , (add_45, ex_46_), {} 2022-11-23T01:30:36.0898100Z call_function, add_47, , (add_46, ex_47_), {} 2022-11-23T01:30:36.0898322Z call_function, add_48, , (add_47, ex_48_), {} 2022-11-23T01:30:36.0898543Z call_function, add_49, , (add_48, ex_49_), {} 2022-11-23T01:30:36.0898644Z output, output, output, ((add_49,),), {} 2022-11-23T01:30:36.0898650Z 2022-11-23T01:30:36.0898980Z [2022-11-23 01:26:29,570] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0899075Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0899166Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0899240Z 4 BUILD_MAP 0 2022-11-23T01:30:36.0899332Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.0899416Z 8 DICT_MERGE 1 2022-11-23T01:30:36.0899505Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.0899581Z 12 RETURN_VALUE 2022-11-23T01:30:36.0899587Z 2022-11-23T01:30:36.0899647Z 2022-11-23T01:30:36.0899969Z [2022-11-23 01:26:29,570] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.0900078Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_327) 2022-11-23T01:30:36.0900184Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0900275Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0900351Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.0900439Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0900525Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.0900598Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.0900683Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0900755Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.0900829Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.0900913Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0900998Z 22 LOAD_CONST 4 (3) 2022-11-23T01:30:36.0901071Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.0901185Z 26 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0901269Z 28 LOAD_CONST 5 (4) 2022-11-23T01:30:36.0901330Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.0901416Z 32 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0901499Z 34 LOAD_CONST 6 (5) 2022-11-23T01:30:36.0901572Z 36 BINARY_SUBSCR 2022-11-23T01:30:36.0901656Z 38 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0901740Z 40 LOAD_CONST 7 (6) 2022-11-23T01:30:36.0901814Z 42 BINARY_SUBSCR 2022-11-23T01:30:36.0901885Z 44 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0901969Z 46 LOAD_CONST 8 (7) 2022-11-23T01:30:36.0902045Z 48 BINARY_SUBSCR 2022-11-23T01:30:36.0902128Z 50 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0902211Z 52 LOAD_CONST 9 (8) 2022-11-23T01:30:36.0902284Z 54 BINARY_SUBSCR 2022-11-23T01:30:36.0902371Z 56 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0902443Z 58 LOAD_CONST 10 (9) 2022-11-23T01:30:36.0902519Z 60 BINARY_SUBSCR 2022-11-23T01:30:36.0902603Z 62 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0902690Z 64 LOAD_CONST 11 (10) 2022-11-23T01:30:36.0902763Z 66 BINARY_SUBSCR 2022-11-23T01:30:36.0902846Z 68 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0902933Z 70 LOAD_CONST 12 (11) 2022-11-23T01:30:36.0902994Z 72 BINARY_SUBSCR 2022-11-23T01:30:36.0903079Z 74 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0903164Z 76 LOAD_CONST 13 (12) 2022-11-23T01:30:36.0903238Z 78 BINARY_SUBSCR 2022-11-23T01:30:36.0903321Z 80 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0903404Z 82 LOAD_CONST 14 (13) 2022-11-23T01:30:36.0903480Z 84 BINARY_SUBSCR 2022-11-23T01:30:36.0903551Z 86 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0903635Z 88 LOAD_CONST 15 (14) 2022-11-23T01:30:36.0903710Z 90 BINARY_SUBSCR 2022-11-23T01:30:36.0903794Z 92 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0903879Z 94 LOAD_CONST 16 (15) 2022-11-23T01:30:36.0903952Z 96 BINARY_SUBSCR 2022-11-23T01:30:36.0904036Z 98 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0904106Z 100 LOAD_CONST 17 (16) 2022-11-23T01:30:36.0904179Z 102 BINARY_SUBSCR 2022-11-23T01:30:36.0904262Z 104 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0904347Z 106 LOAD_CONST 18 (17) 2022-11-23T01:30:36.0904420Z 108 BINARY_SUBSCR 2022-11-23T01:30:36.0904503Z 110 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0904587Z 112 LOAD_CONST 19 (18) 2022-11-23T01:30:36.0904650Z 114 BINARY_SUBSCR 2022-11-23T01:30:36.0904736Z 116 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0904848Z 118 LOAD_CONST 20 (19) 2022-11-23T01:30:36.0904929Z 120 BINARY_SUBSCR 2022-11-23T01:30:36.0905014Z 122 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0905097Z 124 LOAD_CONST 21 (20) 2022-11-23T01:30:36.0905171Z 126 BINARY_SUBSCR 2022-11-23T01:30:36.0905243Z 128 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0905328Z 130 LOAD_CONST 22 (21) 2022-11-23T01:30:36.0905404Z 132 BINARY_SUBSCR 2022-11-23T01:30:36.0905488Z 134 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0905572Z 136 LOAD_CONST 23 (22) 2022-11-23T01:30:36.0905645Z 138 BINARY_SUBSCR 2022-11-23T01:30:36.0905728Z 140 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0905827Z 142 LOAD_CONST 24 (23) 2022-11-23T01:30:36.0905901Z 144 BINARY_SUBSCR 2022-11-23T01:30:36.0905987Z 146 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0906071Z 148 LOAD_CONST 25 (24) 2022-11-23T01:30:36.0906145Z 150 BINARY_SUBSCR 2022-11-23T01:30:36.0906229Z 152 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0906313Z 154 LOAD_CONST 26 (25) 2022-11-23T01:30:36.0906374Z 156 BINARY_SUBSCR 2022-11-23T01:30:36.0906457Z 158 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0906541Z 160 LOAD_CONST 27 (26) 2022-11-23T01:30:36.0906618Z 162 BINARY_SUBSCR 2022-11-23T01:30:36.0906704Z 164 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0906788Z 166 LOAD_CONST 28 (27) 2022-11-23T01:30:36.0906861Z 168 BINARY_SUBSCR 2022-11-23T01:30:36.0906933Z 170 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0907019Z 172 LOAD_CONST 29 (28) 2022-11-23T01:30:36.0907092Z 174 BINARY_SUBSCR 2022-11-23T01:30:36.0907179Z 176 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0907264Z 178 LOAD_CONST 30 (29) 2022-11-23T01:30:36.0907338Z 180 BINARY_SUBSCR 2022-11-23T01:30:36.0907421Z 182 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0907492Z 184 LOAD_CONST 31 (30) 2022-11-23T01:30:36.0907567Z 186 BINARY_SUBSCR 2022-11-23T01:30:36.0907650Z 188 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0907736Z 190 LOAD_CONST 32 (31) 2022-11-23T01:30:36.0907810Z 192 BINARY_SUBSCR 2022-11-23T01:30:36.0907894Z 194 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0907979Z 196 LOAD_CONST 33 (32) 2022-11-23T01:30:36.0908040Z 198 BINARY_SUBSCR 2022-11-23T01:30:36.0908126Z 200 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0908209Z 202 LOAD_CONST 34 (33) 2022-11-23T01:30:36.0908286Z 204 BINARY_SUBSCR 2022-11-23T01:30:36.0908371Z 206 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0908454Z 208 LOAD_CONST 35 (34) 2022-11-23T01:30:36.0908527Z 210 BINARY_SUBSCR 2022-11-23T01:30:36.0908611Z 212 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0908682Z 214 LOAD_CONST 36 (35) 2022-11-23T01:30:36.0908755Z 216 BINARY_SUBSCR 2022-11-23T01:30:36.0908839Z 218 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0908924Z 220 LOAD_CONST 37 (36) 2022-11-23T01:30:36.0908999Z 222 BINARY_SUBSCR 2022-11-23T01:30:36.0909082Z 224 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0909165Z 226 LOAD_CONST 38 (37) 2022-11-23T01:30:36.0909229Z 228 BINARY_SUBSCR 2022-11-23T01:30:36.0909313Z 230 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0909398Z 232 LOAD_CONST 39 (38) 2022-11-23T01:30:36.0909530Z 234 BINARY_SUBSCR 2022-11-23T01:30:36.0909617Z 236 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0909700Z 238 LOAD_CONST 40 (39) 2022-11-23T01:30:36.0909773Z 240 BINARY_SUBSCR 2022-11-23T01:30:36.0909844Z 242 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0909928Z 244 LOAD_CONST 41 (40) 2022-11-23T01:30:36.0910002Z 246 BINARY_SUBSCR 2022-11-23T01:30:36.0910087Z 248 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0910170Z 250 LOAD_CONST 42 (41) 2022-11-23T01:30:36.0910243Z 252 BINARY_SUBSCR 2022-11-23T01:30:36.0910327Z 254 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0910398Z 256 LOAD_CONST 43 (42) 2022-11-23T01:30:36.0910525Z 258 BINARY_SUBSCR 2022-11-23T01:30:36.0910611Z 260 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0910697Z 262 LOAD_CONST 44 (43) 2022-11-23T01:30:36.0910772Z 264 BINARY_SUBSCR 2022-11-23T01:30:36.0910855Z 266 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0910939Z 268 LOAD_CONST 45 (44) 2022-11-23T01:30:36.0911000Z 270 BINARY_SUBSCR 2022-11-23T01:30:36.0911085Z 272 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0911170Z 274 LOAD_CONST 46 (45) 2022-11-23T01:30:36.0911244Z 276 BINARY_SUBSCR 2022-11-23T01:30:36.0911328Z 278 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0911412Z 280 LOAD_CONST 47 (46) 2022-11-23T01:30:36.0911487Z 282 BINARY_SUBSCR 2022-11-23T01:30:36.0911558Z 284 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0911645Z 286 LOAD_CONST 48 (47) 2022-11-23T01:30:36.0911719Z 288 BINARY_SUBSCR 2022-11-23T01:30:36.0911804Z 290 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0911889Z 292 LOAD_CONST 49 (48) 2022-11-23T01:30:36.0911959Z 294 BINARY_SUBSCR 2022-11-23T01:30:36.0916413Z 296 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.0916528Z 298 LOAD_CONST 50 (49) 2022-11-23T01:30:36.0916609Z 300 BINARY_SUBSCR 2022-11-23T01:30:36.0916701Z 302 CALL_FUNCTION 50 2022-11-23T01:30:36.0916796Z 304 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0916929Z 306 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.0917028Z 308 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.0917119Z 310 CALL_FUNCTION 0 2022-11-23T01:30:36.0917216Z 312 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.0917321Z 314 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.0917410Z 316 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0917477Z 318 BINARY_SUBSCR 2022-11-23T01:30:36.0917571Z 320 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0917668Z 322 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.0917756Z 324 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0917832Z 326 BINARY_SUBSCR 2022-11-23T01:30:36.0917934Z 328 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.0918024Z 330 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.0918120Z 332 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.0918194Z 334 LOAD_CONST 1 (0) 2022-11-23T01:30:36.0918270Z 336 BINARY_SUBSCR 2022-11-23T01:30:36.0918369Z 338 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.0918446Z 340 RETURN_VALUE 2022-11-23T01:30:36.0918453Z 2022-11-23T01:30:36.0918514Z 2022-11-23T01:30:36.0918810Z [2022-11-23 01:26:29,573] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.0918885Z - 2022-11-23T01:30:36.0918992Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.0919059Z { 2022-11-23T01:30:36.0919205Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.0919394Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 50'], 2022-11-23T01:30:36.0919514Z 'obj_weakref': None 2022-11-23T01:30:36.0919743Z 'guarded_class': 2022-11-23T01:30:36.0919810Z } 2022-11-23T01:30:36.0919861Z 2022-11-23T01:30:36.0919931Z - 2022-11-23T01:30:36.0920154Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.0920219Z { 2022-11-23T01:30:36.0920365Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0920512Z 'code': None, 2022-11-23T01:30:36.0920729Z 'obj_weakref': 2022-11-23T01:30:36.0920971Z 'guarded_class': 2022-11-23T01:30:36.0921037Z } 2022-11-23T01:30:36.0921102Z 2022-11-23T01:30:36.0921173Z - 2022-11-23T01:30:36.0921298Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.0921362Z { 2022-11-23T01:30:36.0921507Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0921599Z 'code': None, 2022-11-23T01:30:36.0921811Z 'obj_weakref': 2022-11-23T01:30:36.0922065Z 'guarded_class': 2022-11-23T01:30:36.0922129Z } 2022-11-23T01:30:36.0922195Z 2022-11-23T01:30:36.0922267Z - 2022-11-23T01:30:36.0922391Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.0922441Z { 2022-11-23T01:30:36.0922590Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0922697Z 'code': None, 2022-11-23T01:30:36.0922903Z 'obj_weakref': 2022-11-23T01:30:36.0923153Z 'guarded_class': 2022-11-23T01:30:36.0923217Z } 2022-11-23T01:30:36.0923280Z 2022-11-23T01:30:36.0923337Z - 2022-11-23T01:30:36.0923460Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.0923523Z { 2022-11-23T01:30:36.0923663Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0923770Z 'code': None, 2022-11-23T01:30:36.0923976Z 'obj_weakref': 2022-11-23T01:30:36.0924232Z 'guarded_class': 2022-11-23T01:30:36.0924284Z } 2022-11-23T01:30:36.0924347Z 2022-11-23T01:30:36.0924418Z - 2022-11-23T01:30:36.0924540Z local 'ex[4]' TENSOR_MATCH 2022-11-23T01:30:36.0924603Z { 2022-11-23T01:30:36.0924893Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0925002Z 'code': None, 2022-11-23T01:30:36.0925197Z 'obj_weakref': 2022-11-23T01:30:36.0925449Z 'guarded_class': 2022-11-23T01:30:36.0925513Z } 2022-11-23T01:30:36.0925578Z 2022-11-23T01:30:36.0925647Z - 2022-11-23T01:30:36.0925770Z local 'ex[5]' TENSOR_MATCH 2022-11-23T01:30:36.0925836Z { 2022-11-23T01:30:36.0925965Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0926074Z 'code': None, 2022-11-23T01:30:36.0926340Z 'obj_weakref': 2022-11-23T01:30:36.0926593Z 'guarded_class': 2022-11-23T01:30:36.0926658Z } 2022-11-23T01:30:36.0926723Z 2022-11-23T01:30:36.0926792Z - 2022-11-23T01:30:36.0926901Z local 'ex[6]' TENSOR_MATCH 2022-11-23T01:30:36.0926965Z { 2022-11-23T01:30:36.0927109Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0927216Z 'code': None, 2022-11-23T01:30:36.0927428Z 'obj_weakref': 2022-11-23T01:30:36.0927677Z 'guarded_class': 2022-11-23T01:30:36.0927781Z } 2022-11-23T01:30:36.0927832Z 2022-11-23T01:30:36.0927901Z - 2022-11-23T01:30:36.0928025Z local 'ex[7]' TENSOR_MATCH 2022-11-23T01:30:36.0928088Z { 2022-11-23T01:30:36.0928229Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0928333Z 'code': None, 2022-11-23T01:30:36.0928537Z 'obj_weakref': 2022-11-23T01:30:36.0928773Z 'guarded_class': 2022-11-23T01:30:36.0928837Z } 2022-11-23T01:30:36.0928898Z 2022-11-23T01:30:36.0928966Z - 2022-11-23T01:30:36.0929088Z local 'ex[8]' TENSOR_MATCH 2022-11-23T01:30:36.0929149Z { 2022-11-23T01:30:36.0929288Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0929380Z 'code': None, 2022-11-23T01:30:36.0929589Z 'obj_weakref': 2022-11-23T01:30:36.0929838Z 'guarded_class': 2022-11-23T01:30:36.0929902Z } 2022-11-23T01:30:36.0929963Z 2022-11-23T01:30:36.0930032Z - 2022-11-23T01:30:36.0930152Z local 'ex[9]' TENSOR_MATCH 2022-11-23T01:30:36.0930202Z { 2022-11-23T01:30:36.0930341Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0930446Z 'code': None, 2022-11-23T01:30:36.0930649Z 'obj_weakref': 2022-11-23T01:30:36.0930894Z 'guarded_class': 2022-11-23T01:30:36.0930959Z } 2022-11-23T01:30:36.0931021Z 2022-11-23T01:30:36.0931077Z - 2022-11-23T01:30:36.0931210Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.0931274Z { 2022-11-23T01:30:36.0931410Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.0931581Z 'code': ['___check_obj_id(model, 140534431368528)'], 2022-11-23T01:30:36.0931698Z 'obj_weakref': None 2022-11-23T01:30:36.0931927Z 'guarded_class': 2022-11-23T01:30:36.0931978Z } 2022-11-23T01:30:36.0932041Z 2022-11-23T01:30:36.0932110Z - 2022-11-23T01:30:36.0932234Z local 'ex[10]' TENSOR_MATCH 2022-11-23T01:30:36.0932297Z { 2022-11-23T01:30:36.0932436Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0932542Z 'code': None, 2022-11-23T01:30:36.0932735Z 'obj_weakref': 2022-11-23T01:30:36.0932982Z 'guarded_class': 2022-11-23T01:30:36.0933046Z } 2022-11-23T01:30:36.0933108Z 2022-11-23T01:30:36.0933176Z - 2022-11-23T01:30:36.0933334Z local 'ex[11]' TENSOR_MATCH 2022-11-23T01:30:36.0933399Z { 2022-11-23T01:30:36.0933526Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0933630Z 'code': None, 2022-11-23T01:30:36.0933839Z 'obj_weakref': 2022-11-23T01:30:36.0934084Z 'guarded_class': 2022-11-23T01:30:36.0934151Z } 2022-11-23T01:30:36.0934214Z 2022-11-23T01:30:36.0934282Z - 2022-11-23T01:30:36.0934393Z local 'ex[12]' TENSOR_MATCH 2022-11-23T01:30:36.0934455Z { 2022-11-23T01:30:36.0934596Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0934734Z 'code': None, 2022-11-23T01:30:36.0934939Z 'obj_weakref': 2022-11-23T01:30:36.0935188Z 'guarded_class': 2022-11-23T01:30:36.0935252Z } 2022-11-23T01:30:36.0935302Z 2022-11-23T01:30:36.0935369Z - 2022-11-23T01:30:36.0935493Z local 'ex[13]' TENSOR_MATCH 2022-11-23T01:30:36.0935555Z { 2022-11-23T01:30:36.0935695Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0935800Z 'code': None, 2022-11-23T01:30:36.0936008Z 'obj_weakref': 2022-11-23T01:30:36.0936242Z 'guarded_class': 2022-11-23T01:30:36.0936304Z } 2022-11-23T01:30:36.0936369Z 2022-11-23T01:30:36.0936438Z - 2022-11-23T01:30:36.0936560Z local 'ex[14]' TENSOR_MATCH 2022-11-23T01:30:36.0936625Z { 2022-11-23T01:30:36.0936766Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0936858Z 'code': None, 2022-11-23T01:30:36.0937062Z 'obj_weakref': 2022-11-23T01:30:36.0937307Z 'guarded_class': 2022-11-23T01:30:36.0937370Z } 2022-11-23T01:30:36.0937432Z 2022-11-23T01:30:36.0937501Z - 2022-11-23T01:30:36.0937624Z local 'ex[15]' TENSOR_MATCH 2022-11-23T01:30:36.0937674Z { 2022-11-23T01:30:36.0937814Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0937920Z 'code': None, 2022-11-23T01:30:36.0938124Z 'obj_weakref': 2022-11-23T01:30:36.0938373Z 'guarded_class': 2022-11-23T01:30:36.0938436Z } 2022-11-23T01:30:36.0938502Z 2022-11-23T01:30:36.0938557Z - 2022-11-23T01:30:36.0938678Z local 'ex[16]' TENSOR_MATCH 2022-11-23T01:30:36.0938742Z { 2022-11-23T01:30:36.0938883Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0938988Z 'code': None, 2022-11-23T01:30:36.0939194Z 'obj_weakref': 2022-11-23T01:30:36.0939441Z 'guarded_class': 2022-11-23T01:30:36.0939505Z } 2022-11-23T01:30:36.0939554Z 2022-11-23T01:30:36.0939624Z - 2022-11-23T01:30:36.0939747Z local 'ex[17]' TENSOR_MATCH 2022-11-23T01:30:36.0939810Z { 2022-11-23T01:30:36.0939953Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0940059Z 'code': None, 2022-11-23T01:30:36.0940280Z 'obj_weakref': 2022-11-23T01:30:36.0940527Z 'guarded_class': 2022-11-23T01:30:36.0940591Z } 2022-11-23T01:30:36.0940654Z 2022-11-23T01:30:36.0940724Z - 2022-11-23T01:30:36.0940847Z local 'ex[18]' TENSOR_MATCH 2022-11-23T01:30:36.0940909Z { 2022-11-23T01:30:36.0941035Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0941141Z 'code': None, 2022-11-23T01:30:36.0941346Z 'obj_weakref': 2022-11-23T01:30:36.0941594Z 'guarded_class': 2022-11-23T01:30:36.0941690Z } 2022-11-23T01:30:36.0941753Z 2022-11-23T01:30:36.0941822Z - 2022-11-23T01:30:36.0941946Z local 'ex[19]' TENSOR_MATCH 2022-11-23T01:30:36.0941998Z { 2022-11-23T01:30:36.0942138Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0942244Z 'code': None, 2022-11-23T01:30:36.0942452Z 'obj_weakref': 2022-11-23T01:30:36.0942699Z 'guarded_class': 2022-11-23T01:30:36.0942763Z } 2022-11-23T01:30:36.0942826Z 2022-11-23T01:30:36.0942881Z - 2022-11-23T01:30:36.0943005Z local 'ex[20]' TENSOR_MATCH 2022-11-23T01:30:36.0943070Z { 2022-11-23T01:30:36.0943212Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0943318Z 'code': None, 2022-11-23T01:30:36.0943527Z 'obj_weakref': 2022-11-23T01:30:36.0943777Z 'guarded_class': 2022-11-23T01:30:36.0943828Z } 2022-11-23T01:30:36.0943891Z 2022-11-23T01:30:36.0943960Z - 2022-11-23T01:30:36.0944082Z local 'ex[21]' TENSOR_MATCH 2022-11-23T01:30:36.0944146Z { 2022-11-23T01:30:36.0944286Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0944391Z 'code': None, 2022-11-23T01:30:36.0944583Z 'obj_weakref': 2022-11-23T01:30:36.0944827Z 'guarded_class': 2022-11-23T01:30:36.0944890Z } 2022-11-23T01:30:36.0944954Z 2022-11-23T01:30:36.0945023Z - 2022-11-23T01:30:36.0945145Z local 'ex[22]' TENSOR_MATCH 2022-11-23T01:30:36.0945209Z { 2022-11-23T01:30:36.0945336Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0945444Z 'code': None, 2022-11-23T01:30:36.0945652Z 'obj_weakref': 2022-11-23T01:30:36.0945898Z 'guarded_class': 2022-11-23T01:30:36.0945962Z } 2022-11-23T01:30:36.0946025Z 2022-11-23T01:30:36.0946094Z - 2022-11-23T01:30:36.0946204Z local 'ex[23]' TENSOR_MATCH 2022-11-23T01:30:36.0946268Z { 2022-11-23T01:30:36.0946408Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0946513Z 'code': None, 2022-11-23T01:30:36.0946719Z 'obj_weakref': 2022-11-23T01:30:36.0946966Z 'guarded_class': 2022-11-23T01:30:36.0947032Z } 2022-11-23T01:30:36.0947083Z 2022-11-23T01:30:36.0947153Z - 2022-11-23T01:30:36.0947305Z local 'ex[24]' TENSOR_MATCH 2022-11-23T01:30:36.0947369Z { 2022-11-23T01:30:36.0947512Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0947617Z 'code': None, 2022-11-23T01:30:36.0947819Z 'obj_weakref': 2022-11-23T01:30:36.0948050Z 'guarded_class': 2022-11-23T01:30:36.0948114Z } 2022-11-23T01:30:36.0948175Z 2022-11-23T01:30:36.0948244Z - 2022-11-23T01:30:36.0948367Z local 'ex[25]' TENSOR_MATCH 2022-11-23T01:30:36.0948430Z { 2022-11-23T01:30:36.0948571Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0948693Z 'code': None, 2022-11-23T01:30:36.0948898Z 'obj_weakref': 2022-11-23T01:30:36.0949148Z 'guarded_class': 2022-11-23T01:30:36.0949214Z } 2022-11-23T01:30:36.0949279Z 2022-11-23T01:30:36.0949352Z - 2022-11-23T01:30:36.0949477Z local 'ex[26]' TENSOR_MATCH 2022-11-23T01:30:36.0949527Z { 2022-11-23T01:30:36.0949670Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0949776Z 'code': None, 2022-11-23T01:30:36.0949980Z 'obj_weakref': 2022-11-23T01:30:36.0950226Z 'guarded_class': 2022-11-23T01:30:36.0950290Z } 2022-11-23T01:30:36.0950354Z 2022-11-23T01:30:36.0950412Z - 2022-11-23T01:30:36.0950535Z local 'ex[27]' TENSOR_MATCH 2022-11-23T01:30:36.0950599Z { 2022-11-23T01:30:36.0950744Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0950849Z 'code': None, 2022-11-23T01:30:36.0951054Z 'obj_weakref': 2022-11-23T01:30:36.0951299Z 'guarded_class': 2022-11-23T01:30:36.0951350Z } 2022-11-23T01:30:36.0951414Z 2022-11-23T01:30:36.0951484Z - 2022-11-23T01:30:36.0951608Z local 'ex[28]' TENSOR_MATCH 2022-11-23T01:30:36.0951671Z { 2022-11-23T01:30:36.0951812Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0951917Z 'code': None, 2022-11-23T01:30:36.0952109Z 'obj_weakref': 2022-11-23T01:30:36.0952357Z 'guarded_class': 2022-11-23T01:30:36.0952421Z } 2022-11-23T01:30:36.0952487Z 2022-11-23T01:30:36.0952555Z - 2022-11-23T01:30:36.0952676Z local 'ex[29]' TENSOR_MATCH 2022-11-23T01:30:36.0952740Z { 2022-11-23T01:30:36.0952867Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0952973Z 'code': None, 2022-11-23T01:30:36.0953179Z 'obj_weakref': 2022-11-23T01:30:36.0953423Z 'guarded_class': 2022-11-23T01:30:36.0953486Z } 2022-11-23T01:30:36.0953548Z 2022-11-23T01:30:36.0953615Z - 2022-11-23T01:30:36.0953724Z local 'ex[30]' TENSOR_MATCH 2022-11-23T01:30:36.0953788Z { 2022-11-23T01:30:36.0953930Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0954035Z 'code': None, 2022-11-23T01:30:36.0954268Z 'obj_weakref': 2022-11-23T01:30:36.0954514Z 'guarded_class': 2022-11-23T01:30:36.0954578Z } 2022-11-23T01:30:36.0954628Z 2022-11-23T01:30:36.0954696Z - 2022-11-23T01:30:36.0954822Z local 'ex[31]' TENSOR_MATCH 2022-11-23T01:30:36.0954884Z { 2022-11-23T01:30:36.0955028Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0955132Z 'code': None, 2022-11-23T01:30:36.0955337Z 'obj_weakref': 2022-11-23T01:30:36.0955569Z 'guarded_class': 2022-11-23T01:30:36.0955661Z } 2022-11-23T01:30:36.0955726Z 2022-11-23T01:30:36.0955796Z - 2022-11-23T01:30:36.0955919Z local 'ex[32]' TENSOR_MATCH 2022-11-23T01:30:36.0955986Z { 2022-11-23T01:30:36.0956128Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0956220Z 'code': None, 2022-11-23T01:30:36.0956424Z 'obj_weakref': 2022-11-23T01:30:36.0956669Z 'guarded_class': 2022-11-23T01:30:36.0956731Z } 2022-11-23T01:30:36.0956795Z 2022-11-23T01:30:36.0956863Z - 2022-11-23T01:30:36.0956985Z local 'ex[33]' TENSOR_MATCH 2022-11-23T01:30:36.0957035Z { 2022-11-23T01:30:36.0957176Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0957281Z 'code': None, 2022-11-23T01:30:36.0957490Z 'obj_weakref': 2022-11-23T01:30:36.0957738Z 'guarded_class': 2022-11-23T01:30:36.0957801Z } 2022-11-23T01:30:36.0957864Z 2022-11-23T01:30:36.0957919Z - 2022-11-23T01:30:36.0958042Z local 'ex[34]' TENSOR_MATCH 2022-11-23T01:30:36.0958105Z { 2022-11-23T01:30:36.0958244Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0958349Z 'code': None, 2022-11-23T01:30:36.0958558Z 'obj_weakref': 2022-11-23T01:30:36.0958804Z 'guarded_class': 2022-11-23T01:30:36.0958868Z } 2022-11-23T01:30:36.0958919Z 2022-11-23T01:30:36.0958986Z - 2022-11-23T01:30:36.0959109Z local 'ex[35]' TENSOR_MATCH 2022-11-23T01:30:36.0959175Z { 2022-11-23T01:30:36.0959315Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0959420Z 'code': None, 2022-11-23T01:30:36.0959615Z 'obj_weakref': 2022-11-23T01:30:36.0959858Z 'guarded_class': 2022-11-23T01:30:36.0959920Z } 2022-11-23T01:30:36.0960068Z 2022-11-23T01:30:36.0960143Z - 2022-11-23T01:30:36.0960269Z local 'ex[36]' TENSOR_MATCH 2022-11-23T01:30:36.0960332Z { 2022-11-23T01:30:36.0960459Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0960563Z 'code': None, 2022-11-23T01:30:36.0960771Z 'obj_weakref': 2022-11-23T01:30:36.0961020Z 'guarded_class': 2022-11-23T01:30:36.0961086Z } 2022-11-23T01:30:36.0961150Z 2022-11-23T01:30:36.0961219Z - 2022-11-23T01:30:36.0961367Z local 'ex[37]' TENSOR_MATCH 2022-11-23T01:30:36.0961432Z { 2022-11-23T01:30:36.0961576Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0961681Z 'code': None, 2022-11-23T01:30:36.0961886Z 'obj_weakref': 2022-11-23T01:30:36.0962131Z 'guarded_class': 2022-11-23T01:30:36.0962194Z } 2022-11-23T01:30:36.0962257Z 2022-11-23T01:30:36.0962313Z - 2022-11-23T01:30:36.0962435Z local 'ex[38]' TENSOR_MATCH 2022-11-23T01:30:36.0962497Z { 2022-11-23T01:30:36.0962635Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0962783Z 'code': None, 2022-11-23T01:30:36.0962992Z 'obj_weakref': 2022-11-23T01:30:36.0963240Z 'guarded_class': 2022-11-23T01:30:36.0963290Z } 2022-11-23T01:30:36.0963354Z 2022-11-23T01:30:36.0963422Z - 2022-11-23T01:30:36.0963545Z local 'ex[39]' TENSOR_MATCH 2022-11-23T01:30:36.0963606Z { 2022-11-23T01:30:36.0963747Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0963839Z 'code': None, 2022-11-23T01:30:36.0964043Z 'obj_weakref': 2022-11-23T01:30:36.0964287Z 'guarded_class': 2022-11-23T01:30:36.0964350Z } 2022-11-23T01:30:36.0964412Z 2022-11-23T01:30:36.0964480Z - 2022-11-23T01:30:36.0964603Z local 'ex[40]' TENSOR_MATCH 2022-11-23T01:30:36.0964653Z { 2022-11-23T01:30:36.0964908Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0965019Z 'code': None, 2022-11-23T01:30:36.0965228Z 'obj_weakref': 2022-11-23T01:30:36.0965475Z 'guarded_class': 2022-11-23T01:30:36.0965541Z } 2022-11-23T01:30:36.0965605Z 2022-11-23T01:30:36.0965673Z - 2022-11-23T01:30:36.0965784Z local 'ex[41]' TENSOR_MATCH 2022-11-23T01:30:36.0965848Z { 2022-11-23T01:30:36.0965992Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0966100Z 'code': None, 2022-11-23T01:30:36.0966307Z 'obj_weakref': 2022-11-23T01:30:36.0966558Z 'guarded_class': 2022-11-23T01:30:36.0966624Z } 2022-11-23T01:30:36.0966677Z 2022-11-23T01:30:36.0966747Z - 2022-11-23T01:30:36.0966870Z local 'ex[42]' TENSOR_MATCH 2022-11-23T01:30:36.0966932Z { 2022-11-23T01:30:36.0967073Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0967177Z 'code': None, 2022-11-23T01:30:36.0967379Z 'obj_weakref': 2022-11-23T01:30:36.0967614Z 'guarded_class': 2022-11-23T01:30:36.0967676Z } 2022-11-23T01:30:36.0967740Z 2022-11-23T01:30:36.0967810Z - 2022-11-23T01:30:36.0967931Z local 'ex[43]' TENSOR_MATCH 2022-11-23T01:30:36.0967992Z { 2022-11-23T01:30:36.0968140Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0968232Z 'code': None, 2022-11-23T01:30:36.0968489Z 'obj_weakref': 2022-11-23T01:30:36.0968739Z 'guarded_class': 2022-11-23T01:30:36.0968802Z } 2022-11-23T01:30:36.0968867Z 2022-11-23T01:30:36.0968937Z - 2022-11-23T01:30:36.0969062Z local 'ex[44]' TENSOR_MATCH 2022-11-23T01:30:36.0969112Z { 2022-11-23T01:30:36.0969256Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0969361Z 'code': None, 2022-11-23T01:30:36.0969567Z 'obj_weakref': 2022-11-23T01:30:36.0969814Z 'guarded_class': 2022-11-23T01:30:36.0969917Z } 2022-11-23T01:30:36.0969982Z 2022-11-23T01:30:36.0970037Z - 2022-11-23T01:30:36.0970162Z local 'ex[45]' TENSOR_MATCH 2022-11-23T01:30:36.0970227Z { 2022-11-23T01:30:36.0970368Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0970471Z 'code': None, 2022-11-23T01:30:36.0970676Z 'obj_weakref': 2022-11-23T01:30:36.0970920Z 'guarded_class': 2022-11-23T01:30:36.0970971Z } 2022-11-23T01:30:36.0971033Z 2022-11-23T01:30:36.0971101Z - 2022-11-23T01:30:36.0971226Z local 'ex[46]' TENSOR_MATCH 2022-11-23T01:30:36.0971290Z { 2022-11-23T01:30:36.0971430Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0971536Z 'code': None, 2022-11-23T01:30:36.0971731Z 'obj_weakref': 2022-11-23T01:30:36.0971978Z 'guarded_class': 2022-11-23T01:30:36.0972041Z } 2022-11-23T01:30:36.0972105Z 2022-11-23T01:30:36.0972172Z - 2022-11-23T01:30:36.0972293Z local 'ex[47]' TENSOR_MATCH 2022-11-23T01:30:36.0972357Z { 2022-11-23T01:30:36.0972485Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0972591Z 'code': None, 2022-11-23T01:30:36.0972796Z 'obj_weakref': 2022-11-23T01:30:36.0973040Z 'guarded_class': 2022-11-23T01:30:36.0973103Z } 2022-11-23T01:30:36.0973165Z 2022-11-23T01:30:36.0973232Z - 2022-11-23T01:30:36.0973341Z local 'ex[48]' TENSOR_MATCH 2022-11-23T01:30:36.0973408Z { 2022-11-23T01:30:36.0973547Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0973655Z 'code': None, 2022-11-23T01:30:36.0973862Z 'obj_weakref': 2022-11-23T01:30:36.0974106Z 'guarded_class': 2022-11-23T01:30:36.0974171Z } 2022-11-23T01:30:36.0974221Z 2022-11-23T01:30:36.0974290Z - 2022-11-23T01:30:36.0974414Z local 'ex[49]' TENSOR_MATCH 2022-11-23T01:30:36.0974480Z { 2022-11-23T01:30:36.0974621Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.0974726Z 'code': None, 2022-11-23T01:30:36.0974931Z 'obj_weakref': 2022-11-23T01:30:36.0975162Z 'guarded_class': 2022-11-23T01:30:36.0975228Z } 2022-11-23T01:30:36.0975293Z 2022-11-23T01:30:36.0975363Z - 2022-11-23T01:30:36.0975514Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.0975580Z { 2022-11-23T01:30:36.0975716Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.0975920Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.0976038Z 'obj_weakref': None 2022-11-23T01:30:36.0976258Z 'guarded_class': 2022-11-23T01:30:36.0976321Z } 2022-11-23T01:30:36.0976385Z 2022-11-23T01:30:36.0976454Z - 2022-11-23T01:30:36.0976634Z local 'model.__closure__[0].cell_contents' CONSTANT_MATCH 2022-11-23T01:30:36.0976685Z { 2022-11-23T01:30:36.0976827Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.0977138Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249894784)', 'model.__closure__[0].cell_contents == 50'], 2022-11-23T01:30:36.0977258Z 'obj_weakref': None 2022-11-23T01:30:36.0977480Z 'guarded_class': 2022-11-23T01:30:36.0977546Z } 2022-11-23T01:30:36.0977610Z 2022-11-23T01:30:36.0977666Z - 2022-11-23T01:30:36.0977796Z global 'range' BUILTIN_MATCH 2022-11-23T01:30:36.0977858Z { 2022-11-23T01:30:36.0977976Z 'guard_types': None, 2022-11-23T01:30:36.0978081Z 'code': None, 2022-11-23T01:30:36.0978198Z 'obj_weakref': None 2022-11-23T01:30:36.0978316Z 'guarded_class': None 2022-11-23T01:30:36.0978366Z } 2022-11-23T01:30:36.0978430Z 2022-11-23T01:30:36.0978497Z - 2022-11-23T01:30:36.0978628Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.0978692Z { 2022-11-23T01:30:36.0978810Z 'guard_types': None, 2022-11-23T01:30:36.0978913Z 'code': None, 2022-11-23T01:30:36.0979020Z 'obj_weakref': None 2022-11-23T01:30:36.0979139Z 'guarded_class': None 2022-11-23T01:30:36.0979203Z } 2022-11-23T01:30:36.0979266Z 2022-11-23T01:30:36.0979532Z [2022-11-23 01:26:29,635] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320 2022-11-23T01:30:36.0979540Z 2022-11-23T01:30:36.0979635Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.0979703Z import torch 2022-11-23T01:30:36.0979760Z import random 2022-11-23T01:30:36.0979875Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.0979998Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.0980004Z 2022-11-23T01:30:36.0980081Z aten = torch.ops.aten 2022-11-23T01:30:36.0980215Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.0980313Z async_compile = AsyncCompile() 2022-11-23T01:30:36.0980319Z 2022-11-23T01:30:36.0980323Z 2022-11-23T01:30:36.0980458Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.0980662Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.0980767Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.0980873Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.0980979Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.0981080Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.0981181Z const float* __restrict__ in_ptr3, 2022-11-23T01:30:36.0981280Z const float* __restrict__ in_ptr4, 2022-11-23T01:30:36.0981378Z const float* __restrict__ in_ptr5, 2022-11-23T01:30:36.0981464Z const float* __restrict__ in_ptr6, 2022-11-23T01:30:36.0981565Z const float* __restrict__ in_ptr7, 2022-11-23T01:30:36.0981662Z const float* __restrict__ in_ptr8, 2022-11-23T01:30:36.0981790Z const float* __restrict__ in_ptr9, 2022-11-23T01:30:36.0981898Z const float* __restrict__ in_ptr10, 2022-11-23T01:30:36.0982001Z const float* __restrict__ in_ptr11, 2022-11-23T01:30:36.0982103Z const float* __restrict__ in_ptr12, 2022-11-23T01:30:36.0982235Z const float* __restrict__ in_ptr13, 2022-11-23T01:30:36.0982364Z const float* __restrict__ in_ptr14, 2022-11-23T01:30:36.0982507Z const float* __restrict__ in_ptr15, 2022-11-23T01:30:36.0982608Z const float* __restrict__ in_ptr16, 2022-11-23T01:30:36.0982707Z const float* __restrict__ in_ptr17, 2022-11-23T01:30:36.0982806Z const float* __restrict__ in_ptr18, 2022-11-23T01:30:36.0982950Z const float* __restrict__ in_ptr19, 2022-11-23T01:30:36.0983050Z const float* __restrict__ in_ptr20, 2022-11-23T01:30:36.0983136Z const float* __restrict__ in_ptr21, 2022-11-23T01:30:36.0983236Z const float* __restrict__ in_ptr22, 2022-11-23T01:30:36.0983334Z const float* __restrict__ in_ptr23, 2022-11-23T01:30:36.0983432Z const float* __restrict__ in_ptr24, 2022-11-23T01:30:36.0983531Z const float* __restrict__ in_ptr25, 2022-11-23T01:30:36.0983628Z const float* __restrict__ in_ptr26, 2022-11-23T01:30:36.0983728Z const float* __restrict__ in_ptr27, 2022-11-23T01:30:36.0983829Z const float* __restrict__ in_ptr28, 2022-11-23T01:30:36.0983913Z const float* __restrict__ in_ptr29, 2022-11-23T01:30:36.0984015Z const float* __restrict__ in_ptr30, 2022-11-23T01:30:36.0984116Z const float* __restrict__ in_ptr31, 2022-11-23T01:30:36.0984220Z const float* __restrict__ in_ptr32, 2022-11-23T01:30:36.0984320Z const float* __restrict__ in_ptr33, 2022-11-23T01:30:36.0984419Z const float* __restrict__ in_ptr34, 2022-11-23T01:30:36.0984517Z const float* __restrict__ in_ptr35, 2022-11-23T01:30:36.0984602Z const float* __restrict__ in_ptr36, 2022-11-23T01:30:36.0984701Z const float* __restrict__ in_ptr37, 2022-11-23T01:30:36.0984799Z const float* __restrict__ in_ptr38, 2022-11-23T01:30:36.0984897Z const float* __restrict__ in_ptr39, 2022-11-23T01:30:36.0984996Z const float* __restrict__ in_ptr40, 2022-11-23T01:30:36.0985096Z const float* __restrict__ in_ptr41, 2022-11-23T01:30:36.0985196Z const float* __restrict__ in_ptr42, 2022-11-23T01:30:36.0985294Z const float* __restrict__ in_ptr43, 2022-11-23T01:30:36.0985382Z const float* __restrict__ in_ptr44, 2022-11-23T01:30:36.0985481Z const float* __restrict__ in_ptr45, 2022-11-23T01:30:36.0985579Z const float* __restrict__ in_ptr46, 2022-11-23T01:30:36.0985677Z const float* __restrict__ in_ptr47, 2022-11-23T01:30:36.0985775Z const float* __restrict__ in_ptr48, 2022-11-23T01:30:36.0985874Z const float* __restrict__ in_ptr49) 2022-11-23T01:30:36.0985935Z { 2022-11-23T01:30:36.0986008Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:30:36.0986107Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.0986168Z { 2022-11-23T01:30:36.0986243Z #pragma omp for 2022-11-23T01:30:36.0986326Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0986391Z { 2022-11-23T01:30:36.0986544Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.0986693Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.0986821Z auto tmp4 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:30:36.0986949Z auto tmp6 = at::vec::Vectorized::loadu(in_ptr3 + 8*i0); 2022-11-23T01:30:36.0987076Z auto tmp8 = at::vec::Vectorized::loadu(in_ptr4 + 8*i0); 2022-11-23T01:30:36.0987209Z auto tmp10 = at::vec::Vectorized::loadu(in_ptr5 + 8*i0); 2022-11-23T01:30:36.0987337Z auto tmp12 = at::vec::Vectorized::loadu(in_ptr6 + 8*i0); 2022-11-23T01:30:36.0987464Z auto tmp14 = at::vec::Vectorized::loadu(in_ptr7 + 8*i0); 2022-11-23T01:30:36.0987589Z auto tmp16 = at::vec::Vectorized::loadu(in_ptr8 + 8*i0); 2022-11-23T01:30:36.0987704Z auto tmp1 = tmp0 + tmp0; 2022-11-23T01:30:36.0987774Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.0987857Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:36.0987940Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:30:36.0988021Z auto tmp9 = tmp7 + tmp8; 2022-11-23T01:30:36.0988105Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:30:36.0988189Z auto tmp13 = tmp11 + tmp12; 2022-11-23T01:30:36.0988274Z auto tmp15 = tmp13 + tmp14; 2022-11-23T01:30:36.0988344Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:30:36.0988436Z tmp17.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.0988498Z } 2022-11-23T01:30:36.0988593Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0988677Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.0988742Z { 2022-11-23T01:30:36.0988824Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.0988892Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:36.0988974Z auto tmp4 = in_ptr2[i0]; 2022-11-23T01:30:36.0989053Z auto tmp6 = in_ptr3[i0]; 2022-11-23T01:30:36.0989134Z auto tmp8 = in_ptr4[i0]; 2022-11-23T01:30:36.0989218Z auto tmp10 = in_ptr5[i0]; 2022-11-23T01:30:36.0989298Z auto tmp12 = in_ptr6[i0]; 2022-11-23T01:30:36.0989378Z auto tmp14 = in_ptr7[i0]; 2022-11-23T01:30:36.0989445Z auto tmp16 = in_ptr8[i0]; 2022-11-23T01:30:36.0989525Z auto tmp1 = tmp0 + tmp0; 2022-11-23T01:30:36.0989606Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.0989687Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:36.0989768Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:30:36.0989846Z auto tmp9 = tmp7 + tmp8; 2022-11-23T01:30:36.0989929Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:30:36.0990001Z auto tmp13 = tmp11 + tmp12; 2022-11-23T01:30:36.0990085Z auto tmp15 = tmp13 + tmp14; 2022-11-23T01:30:36.0990168Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:30:36.0990252Z out_ptr0[i0] = tmp17; 2022-11-23T01:30:36.0990313Z } 2022-11-23T01:30:36.0990390Z #pragma omp for 2022-11-23T01:30:36.0990473Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0990521Z { 2022-11-23T01:30:36.0990649Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:30:36.0990778Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr9 + 8*i0); 2022-11-23T01:30:36.0990905Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr10 + 8*i0); 2022-11-23T01:30:36.0991032Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr11 + 8*i0); 2022-11-23T01:30:36.0991155Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr12 + 8*i0); 2022-11-23T01:30:36.0991279Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr13 + 8*i0); 2022-11-23T01:30:36.0991409Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr14 + 8*i0); 2022-11-23T01:30:36.0991527Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr15 + 8*i0); 2022-11-23T01:30:36.0991684Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr16 + 8*i0); 2022-11-23T01:30:36.0991771Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0991853Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0991935Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.0992015Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.0992098Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.0992182Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.0992253Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.0992335Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.0992433Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.0992495Z } 2022-11-23T01:30:36.0992588Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0992670Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.0992758Z { 2022-11-23T01:30:36.0992830Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:36.0992926Z auto tmp1 = in_ptr9[i0]; 2022-11-23T01:30:36.0993056Z auto tmp3 = in_ptr10[i0]; 2022-11-23T01:30:36.0993172Z auto tmp5 = in_ptr11[i0]; 2022-11-23T01:30:36.0993285Z auto tmp7 = in_ptr12[i0]; 2022-11-23T01:30:36.0993400Z auto tmp9 = in_ptr13[i0]; 2022-11-23T01:30:36.0993512Z auto tmp11 = in_ptr14[i0]; 2022-11-23T01:30:36.0993624Z auto tmp13 = in_ptr15[i0]; 2022-11-23T01:30:36.0993710Z auto tmp15 = in_ptr16[i0]; 2022-11-23T01:30:36.0993792Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0993873Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0993954Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.0994034Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.0994103Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.0994188Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.0994277Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.0994360Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.0994442Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:30:36.0994506Z } 2022-11-23T01:30:36.0994581Z #pragma omp for 2022-11-23T01:30:36.0994649Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0994711Z { 2022-11-23T01:30:36.0994850Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.0994981Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr17 + 8*i0); 2022-11-23T01:30:36.0995107Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr18 + 8*i0); 2022-11-23T01:30:36.0995231Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr19 + 8*i0); 2022-11-23T01:30:36.0995349Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr20 + 8*i0); 2022-11-23T01:30:36.0995476Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr21 + 8*i0); 2022-11-23T01:30:36.0995606Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr22 + 8*i0); 2022-11-23T01:30:36.0995737Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr23 + 8*i0); 2022-11-23T01:30:36.0995862Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr24 + 8*i0); 2022-11-23T01:30:36.0995945Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0996026Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0996095Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.0996174Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.0996256Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.0996341Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.0996425Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.0996507Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.0996602Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.0996651Z } 2022-11-23T01:30:36.0996745Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.0996829Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.0996890Z { 2022-11-23T01:30:36.0996977Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:36.0997100Z auto tmp1 = in_ptr17[i0]; 2022-11-23T01:30:36.0997184Z auto tmp3 = in_ptr18[i0]; 2022-11-23T01:30:36.0997255Z auto tmp5 = in_ptr19[i0]; 2022-11-23T01:30:36.0997337Z auto tmp7 = in_ptr20[i0]; 2022-11-23T01:30:36.0997416Z auto tmp9 = in_ptr21[i0]; 2022-11-23T01:30:36.0997501Z auto tmp11 = in_ptr22[i0]; 2022-11-23T01:30:36.0997584Z auto tmp13 = in_ptr23[i0]; 2022-11-23T01:30:36.0997667Z auto tmp15 = in_ptr24[i0]; 2022-11-23T01:30:36.0997749Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.0997819Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.0997899Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.0997978Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.0998089Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.0998172Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.0998255Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.0998341Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.0998411Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:30:36.0998473Z } 2022-11-23T01:30:36.0998549Z #pragma omp for 2022-11-23T01:30:36.0998628Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.0998689Z { 2022-11-23T01:30:36.0998824Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.0998951Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr25 + 8*i0); 2022-11-23T01:30:36.0999079Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr26 + 8*i0); 2022-11-23T01:30:36.0999191Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr27 + 8*i0); 2022-11-23T01:30:36.0999317Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr28 + 8*i0); 2022-11-23T01:30:36.0999442Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr29 + 8*i0); 2022-11-23T01:30:36.0999573Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr30 + 8*i0); 2022-11-23T01:30:36.0999701Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr31 + 8*i0); 2022-11-23T01:30:36.0999827Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr32 + 8*i0); 2022-11-23T01:30:36.0999910Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1000069Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1000141Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.1000222Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.1000305Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.1000390Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.1000473Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.1000556Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.1000653Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1000705Z } 2022-11-23T01:30:36.1000801Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1000882Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1000948Z { 2022-11-23T01:30:36.1001036Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:36.1001119Z auto tmp1 = in_ptr25[i0]; 2022-11-23T01:30:36.1001201Z auto tmp3 = in_ptr26[i0]; 2022-11-23T01:30:36.1001269Z auto tmp5 = in_ptr27[i0]; 2022-11-23T01:30:36.1001352Z auto tmp7 = in_ptr28[i0]; 2022-11-23T01:30:36.1001433Z auto tmp9 = in_ptr29[i0]; 2022-11-23T01:30:36.1001517Z auto tmp11 = in_ptr30[i0]; 2022-11-23T01:30:36.1001601Z auto tmp13 = in_ptr31[i0]; 2022-11-23T01:30:36.1001685Z auto tmp15 = in_ptr32[i0]; 2022-11-23T01:30:36.1001769Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1001839Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1001919Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.1002002Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.1002084Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.1002198Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.1002285Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.1002368Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.1002438Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:30:36.1002499Z } 2022-11-23T01:30:36.1002575Z #pragma omp for 2022-11-23T01:30:36.1002657Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1002717Z { 2022-11-23T01:30:36.1002852Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1002980Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr33 + 8*i0); 2022-11-23T01:30:36.1003094Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr34 + 8*i0); 2022-11-23T01:30:36.1003219Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr35 + 8*i0); 2022-11-23T01:30:36.1003385Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr36 + 8*i0); 2022-11-23T01:30:36.1003510Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr37 + 8*i0); 2022-11-23T01:30:36.1003642Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr38 + 8*i0); 2022-11-23T01:30:36.1003773Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr39 + 8*i0); 2022-11-23T01:30:36.1003901Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr40 + 8*i0); 2022-11-23T01:30:36.1003985Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1004068Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1004137Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.1004219Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.1004303Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.1004390Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.1004474Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.1004559Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.1004655Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1004704Z } 2022-11-23T01:30:36.1004914Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1004998Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1005060Z { 2022-11-23T01:30:36.1005149Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:36.1005233Z auto tmp1 = in_ptr33[i0]; 2022-11-23T01:30:36.1005316Z auto tmp3 = in_ptr34[i0]; 2022-11-23T01:30:36.1005387Z auto tmp5 = in_ptr35[i0]; 2022-11-23T01:30:36.1005471Z auto tmp7 = in_ptr36[i0]; 2022-11-23T01:30:36.1005552Z auto tmp9 = in_ptr37[i0]; 2022-11-23T01:30:36.1005640Z auto tmp11 = in_ptr38[i0]; 2022-11-23T01:30:36.1005724Z auto tmp13 = in_ptr39[i0]; 2022-11-23T01:30:36.1005808Z auto tmp15 = in_ptr40[i0]; 2022-11-23T01:30:36.1005891Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1005962Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1006043Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.1006124Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.1006209Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.1006294Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.1006381Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.1006466Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.1006535Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:30:36.1006596Z } 2022-11-23T01:30:36.1006672Z #pragma omp for 2022-11-23T01:30:36.1006754Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1006815Z { 2022-11-23T01:30:36.1006950Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1007080Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr41 + 8*i0); 2022-11-23T01:30:36.1007193Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr42 + 8*i0); 2022-11-23T01:30:36.1007321Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr43 + 8*i0); 2022-11-23T01:30:36.1007498Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr44 + 8*i0); 2022-11-23T01:30:36.1007623Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr45 + 8*i0); 2022-11-23T01:30:36.1007751Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr46 + 8*i0); 2022-11-23T01:30:36.1007880Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr47 + 8*i0); 2022-11-23T01:30:36.1008005Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr48 + 8*i0); 2022-11-23T01:30:36.1008090Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1008172Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1008242Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.1008322Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.1008405Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.1008551Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.1008635Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.1008718Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.1008817Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1008866Z } 2022-11-23T01:30:36.1008961Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1009043Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1009104Z { 2022-11-23T01:30:36.1009192Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:36.1009276Z auto tmp1 = in_ptr41[i0]; 2022-11-23T01:30:36.1009345Z auto tmp3 = in_ptr42[i0]; 2022-11-23T01:30:36.1009428Z auto tmp5 = in_ptr43[i0]; 2022-11-23T01:30:36.1009510Z auto tmp7 = in_ptr44[i0]; 2022-11-23T01:30:36.1009590Z auto tmp9 = in_ptr45[i0]; 2022-11-23T01:30:36.1009675Z auto tmp11 = in_ptr46[i0]; 2022-11-23T01:30:36.1009760Z auto tmp13 = in_ptr47[i0]; 2022-11-23T01:30:36.1009846Z auto tmp15 = in_ptr48[i0]; 2022-11-23T01:30:36.1009916Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1009998Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1010080Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.1010163Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.1010245Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:30:36.1010329Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:30:36.1010413Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:30:36.1010483Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:30:36.1010565Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:30:36.1010627Z } 2022-11-23T01:30:36.1010703Z #pragma omp for 2022-11-23T01:30:36.1010783Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1010845Z { 2022-11-23T01:30:36.1010980Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1011096Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr49 + 8*i0); 2022-11-23T01:30:36.1011182Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1011277Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.1011342Z } 2022-11-23T01:30:36.1011437Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1011517Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1011578Z { 2022-11-23T01:30:36.1011654Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:36.1011737Z auto tmp1 = in_ptr49[i0]; 2022-11-23T01:30:36.1011818Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1011899Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.1011962Z } 2022-11-23T01:30:36.1012022Z } 2022-11-23T01:30:36.1012081Z } 2022-11-23T01:30:36.1012182Z ''') 2022-11-23T01:30:36.1012188Z 2022-11-23T01:30:36.1012204Z 2022-11-23T01:30:36.1012282Z async_compile.wait(globals()) 2022-11-23T01:30:36.1012356Z del async_compile 2022-11-23T01:30:36.1012361Z 2022-11-23T01:30:36.1012434Z def call(args): 2022-11-23T01:30:36.1012793Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args 2022-11-23T01:30:36.1012868Z args.clear() 2022-11-23T01:30:36.1013067Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1013151Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:36.1013233Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:30:36.1013300Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:30:36.1013381Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:30:36.1013460Z buf5 = buf4; del buf4 # reuse 2022-11-23T01:30:36.1013538Z buf6 = buf5; del buf5 # reuse 2022-11-23T01:30:36.1014816Z kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr())) 2022-11-23T01:30:36.1014895Z del arg0_1 2022-11-23T01:30:36.1014964Z del arg10_1 2022-11-23T01:30:36.1015032Z del arg11_1 2022-11-23T01:30:36.1015097Z del arg12_1 2022-11-23T01:30:36.1015161Z del arg13_1 2022-11-23T01:30:36.1015225Z del arg14_1 2022-11-23T01:30:36.1015288Z del arg15_1 2022-11-23T01:30:36.1015341Z del arg16_1 2022-11-23T01:30:36.1015406Z del arg17_1 2022-11-23T01:30:36.1015472Z del arg18_1 2022-11-23T01:30:36.1015538Z del arg19_1 2022-11-23T01:30:36.1015602Z del arg1_1 2022-11-23T01:30:36.1015666Z del arg20_1 2022-11-23T01:30:36.1015718Z del arg21_1 2022-11-23T01:30:36.1015782Z del arg22_1 2022-11-23T01:30:36.1015849Z del arg23_1 2022-11-23T01:30:36.1015914Z del arg24_1 2022-11-23T01:30:36.1015978Z del arg25_1 2022-11-23T01:30:36.1016042Z del arg26_1 2022-11-23T01:30:36.1016094Z del arg27_1 2022-11-23T01:30:36.1016158Z del arg28_1 2022-11-23T01:30:36.1016222Z del arg29_1 2022-11-23T01:30:36.1016287Z del arg2_1 2022-11-23T01:30:36.1016351Z del arg30_1 2022-11-23T01:30:36.1016414Z del arg31_1 2022-11-23T01:30:36.1016478Z del arg32_1 2022-11-23T01:30:36.1016530Z del arg33_1 2022-11-23T01:30:36.1016594Z del arg34_1 2022-11-23T01:30:36.1016659Z del arg35_1 2022-11-23T01:30:36.1016722Z del arg36_1 2022-11-23T01:30:36.1016785Z del arg37_1 2022-11-23T01:30:36.1016849Z del arg38_1 2022-11-23T01:30:36.1016902Z del arg39_1 2022-11-23T01:30:36.1016969Z del arg3_1 2022-11-23T01:30:36.1017033Z del arg40_1 2022-11-23T01:30:36.1017097Z del arg41_1 2022-11-23T01:30:36.1017161Z del arg42_1 2022-11-23T01:30:36.1017250Z del arg43_1 2022-11-23T01:30:36.1017317Z del arg44_1 2022-11-23T01:30:36.1017370Z del arg45_1 2022-11-23T01:30:36.1017434Z del arg46_1 2022-11-23T01:30:36.1017498Z del arg47_1 2022-11-23T01:30:36.1017562Z del arg48_1 2022-11-23T01:30:36.1017625Z del arg49_1 2022-11-23T01:30:36.1017689Z del arg4_1 2022-11-23T01:30:36.1017742Z del arg5_1 2022-11-23T01:30:36.1017806Z del arg6_1 2022-11-23T01:30:36.1017871Z del arg7_1 2022-11-23T01:30:36.1017935Z del arg8_1 2022-11-23T01:30:36.1017999Z del arg9_1 2022-11-23T01:30:36.1018069Z return (buf6, ) 2022-11-23T01:30:36.1018074Z 2022-11-23T01:30:36.1018078Z 2022-11-23T01:30:36.1018152Z if __name__ == "__main__": 2022-11-23T01:30:36.1018257Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1018381Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1018605Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1018796Z arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1018984Z arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1019169Z arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1019351Z arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1019533Z arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1019703Z arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1019885Z arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1020065Z arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1020251Z arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1020441Z arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1020631Z arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1020817Z arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1021001Z arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1021172Z arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1021356Z arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1021536Z arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1021717Z arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1021899Z arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1022084Z arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1022269Z arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1022449Z arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1022618Z arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1022799Z arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1022980Z arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1023160Z arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1023340Z arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1023521Z arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1023702Z arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1023885Z arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1024082Z arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1024265Z arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1024444Z arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1024624Z arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1024804Z arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1024986Z arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1025165Z arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1025345Z arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1025550Z arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1025731Z arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1025914Z arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1026094Z arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1026275Z arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1026457Z arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1026636Z arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1026817Z arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1026986Z arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1027165Z arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1027348Z arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1027531Z arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1027896Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1])) 2022-11-23T01:30:36.1028270Z [2022-11-23 01:26:31,341] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ii/ciix54kax6gy6dahx2mkdgztpnlsheuujosrqeyjhavqe7ykxfo5.py 2022-11-23T01:30:36.1028537Z [2022-11-23 01:26:31,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320 2022-11-23T01:30:36.1028545Z 2022-11-23T01:30:36.1028624Z --> 7 2022-11-23T01:30:36.1028692Z ok (1.940s) 2022-11-23T01:30:36.1029010Z test_no_op_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1029314Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1029531Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1029785Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1030062Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1030384Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1030770Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1031091Z [2022-11-23 01:26:31,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1031468Z [2022-11-23 01:26:31,349] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1031560Z 3167 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1031653Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.1031779Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.1031867Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1031961Z 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:36.1032077Z 10 LOAD_ATTR 2 (amax) 2022-11-23T01:30:36.1032164Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1032254Z 14 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1032327Z 16 BINARY_ADD 2022-11-23T01:30:36.1032402Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1032494Z 20 LOAD_CONST 3 (True) 2022-11-23T01:30:36.1032643Z 22 LOAD_CONST 4 (('keepdim',)) 2022-11-23T01:30:36.1032734Z 24 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.1032820Z 26 BUILD_TUPLE 2 2022-11-23T01:30:36.1032895Z 28 RETURN_VALUE 2022-11-23T01:30:36.1032956Z 2022-11-23T01:30:36.1032961Z 2022-11-23T01:30:36.1033277Z [2022-11-23 01:26:31,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3167 2022-11-23T01:30:36.1033476Z [2022-11-23 01:26:31,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.1033720Z [2022-11-23 01:26:31,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.1033996Z [2022-11-23 01:26:31,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.1034314Z [2022-11-23 01:26:31,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.1034559Z [2022-11-23 01:26:31,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1034950Z [2022-11-23 01:26:31,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1035300Z [2022-11-23 01:26:31,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1035681Z [2022-11-23 01:26:31,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1036102Z [2022-11-23 01:26:31,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1036478Z [2022-11-23 01:26:31,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1036899Z [2022-11-23 01:26:31,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1037408Z [2022-11-23 01:26:31,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.1037914Z [2022-11-23 01:26:31,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.1038170Z [2022-11-23 01:26:31,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1038413Z [2022-11-23 01:26:31,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1038790Z [2022-11-23 01:26:31,353] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1039067Z [2022-11-23 01:26:31,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1039301Z [2022-11-23 01:26:31,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1039553Z [2022-11-23 01:26:31,354] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1039802Z [2022-11-23 01:26:31,357] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1040079Z [2022-11-23 01:26:31,358] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1040218Z __compiled_fn_328 .2785 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1040295Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1040433Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:30:36.1040608Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.1040860Z call_function, amax, , (add, 1), {'keepdim': True} 2022-11-23T01:30:36.1040964Z output, output, output, ((sum_1, amax),), {} 2022-11-23T01:30:36.1040970Z 2022-11-23T01:30:36.1041295Z [2022-11-23 01:26:31,358] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1041388Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1041480Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1041553Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1041645Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1041729Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1041816Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1041893Z 12 RETURN_VALUE 2022-11-23T01:30:36.1041900Z 2022-11-23T01:30:36.1041960Z 2022-11-23T01:30:36.1042285Z [2022-11-23 01:26:31,358] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1042394Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_328) 2022-11-23T01:30:36.1042472Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1042563Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1042640Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1042727Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1042830Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1042929Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1043017Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1043081Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1043180Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1043269Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1043344Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1043485Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1043562Z 26 RETURN_VALUE 2022-11-23T01:30:36.1043568Z 2022-11-23T01:30:36.1043627Z 2022-11-23T01:30:36.1043811Z [2022-11-23 01:26:31,359] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1043868Z - 2022-11-23T01:30:36.1043986Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1044052Z { 2022-11-23T01:30:36.1044192Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1044377Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1044497Z 'obj_weakref': None 2022-11-23T01:30:36.1044720Z 'guarded_class': 2022-11-23T01:30:36.1044872Z } 2022-11-23T01:30:36.1044996Z 2022-11-23T01:30:36.1045069Z - 2022-11-23T01:30:36.1045193Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1045256Z { 2022-11-23T01:30:36.1045400Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1045494Z 'code': None, 2022-11-23T01:30:36.1045707Z 'obj_weakref': 2022-11-23T01:30:36.1045959Z 'guarded_class': 2022-11-23T01:30:36.1046026Z } 2022-11-23T01:30:36.1046089Z 2022-11-23T01:30:36.1046158Z - 2022-11-23T01:30:36.1046289Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1046339Z { 2022-11-23T01:30:36.1046472Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1046641Z 'code': ['___check_obj_id(model, 140534429135872)'], 2022-11-23T01:30:36.1046760Z 'obj_weakref': None 2022-11-23T01:30:36.1046994Z 'guarded_class': 2022-11-23T01:30:36.1047058Z } 2022-11-23T01:30:36.1047123Z 2022-11-23T01:30:36.1047178Z - 2022-11-23T01:30:36.1047300Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1047363Z { 2022-11-23T01:30:36.1047499Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1047715Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1047832Z 'obj_weakref': None 2022-11-23T01:30:36.1048055Z 'guarded_class': 2022-11-23T01:30:36.1048118Z } 2022-11-23T01:30:36.1048168Z 2022-11-23T01:30:36.1048236Z - 2022-11-23T01:30:36.1048370Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1048433Z { 2022-11-23T01:30:36.1048553Z 'guard_types': None, 2022-11-23T01:30:36.1048661Z 'code': None, 2022-11-23T01:30:36.1048765Z 'obj_weakref': None 2022-11-23T01:30:36.1048888Z 'guarded_class': None 2022-11-23T01:30:36.1048950Z } 2022-11-23T01:30:36.1049013Z 2022-11-23T01:30:36.1049273Z [2022-11-23 01:26:31,364] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321 2022-11-23T01:30:36.1049638Z [2022-11-23 01:26:32,793] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bj/cbjit6hvy77vh6jg2swsmd63pvhnwmlsidudx4iu7fvszj3o7ltq.py 2022-11-23T01:30:36.1049904Z [2022-11-23 01:26:32,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321 2022-11-23T01:30:36.1049910Z 2022-11-23T01:30:36.1050004Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1050061Z import torch 2022-11-23T01:30:36.1050130Z import random 2022-11-23T01:30:36.1050245Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1050370Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1050375Z 2022-11-23T01:30:36.1050453Z aten = torch.ops.aten 2022-11-23T01:30:36.1050630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1050725Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1050730Z 2022-11-23T01:30:36.1050734Z 2022-11-23T01:30:36.1050868Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1051058Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1051177Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1051275Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1051371Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1051432Z { 2022-11-23T01:30:36.1051531Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1051592Z { 2022-11-23T01:30:36.1051655Z #pragma omp for 2022-11-23T01:30:36.1051771Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.1051835Z { 2022-11-23T01:30:36.1051974Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1052108Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.1052193Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1052285Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1052362Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1052424Z } 2022-11-23T01:30:36.1052518Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1052604Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.1052667Z { 2022-11-23T01:30:36.1052750Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1052848Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.1052919Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1052999Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1053077Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:36.1053145Z } 2022-11-23T01:30:36.1053207Z } 2022-11-23T01:30:36.1053266Z } 2022-11-23T01:30:36.1053344Z ''') 2022-11-23T01:30:36.1053349Z 2022-11-23T01:30:36.1053355Z 2022-11-23T01:30:36.1053431Z async_compile.wait(globals()) 2022-11-23T01:30:36.1053504Z del async_compile 2022-11-23T01:30:36.1053509Z 2022-11-23T01:30:36.1053578Z def call(args): 2022-11-23T01:30:36.1053648Z arg0_1, = args 2022-11-23T01:30:36.1053718Z args.clear() 2022-11-23T01:30:36.1053914Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1054114Z buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1054276Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1054332Z del arg0_1 2022-11-23T01:30:36.1054408Z return (buf0, buf1, ) 2022-11-23T01:30:36.1054415Z 2022-11-23T01:30:36.1054419Z 2022-11-23T01:30:36.1054497Z if __name__ == "__main__": 2022-11-23T01:30:36.1054612Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1054734Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1054938Z arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1055044Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1055049Z 2022-11-23T01:30:36.1055116Z ok (1.451s) 2022-11-23T01:30:36.1055410Z test_permute_cpu (__main__.CpuTests) ... [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1055728Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1055945Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1056199Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1056481Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1056831Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1057178Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1057501Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1057876Z [2022-11-23 01:26:32,799] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1058004Z 1253 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1058090Z 2 LOAD_METHOD 1 (permute) 2022-11-23T01:30:36.1058183Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1058272Z 6 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1058345Z 8 BINARY_ADD 2022-11-23T01:30:36.1058433Z 10 BUILD_LIST 0 2022-11-23T01:30:36.1058530Z 12 LOAD_CONST 2 ((2, 1, 4, 0, 3)) 2022-11-23T01:30:36.1058617Z 14 LIST_EXTEND 1 2022-11-23T01:30:36.1058691Z 16 CALL_METHOD 2 2022-11-23T01:30:36.1058778Z 18 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1058850Z 20 BINARY_ADD 2022-11-23T01:30:36.1058855Z 2022-11-23T01:30:36.1058950Z 1254 22 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1059045Z 24 LOAD_METHOD 1 (permute) 2022-11-23T01:30:36.1059133Z 26 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1059220Z 28 BUILD_LIST 0 2022-11-23T01:30:36.1059317Z 30 LOAD_CONST 2 ((2, 1, 4, 0, 3)) 2022-11-23T01:30:36.1059392Z 32 LIST_EXTEND 1 2022-11-23T01:30:36.1059476Z 34 CALL_METHOD 2 2022-11-23T01:30:36.1059562Z 36 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1059635Z 38 BINARY_ADD 2022-11-23T01:30:36.1059640Z 2022-11-23T01:30:36.1059727Z 1252 40 BUILD_TUPLE 2 2022-11-23T01:30:36.1059801Z 42 RETURN_VALUE 2022-11-23T01:30:36.1059862Z 2022-11-23T01:30:36.1059866Z 2022-11-23T01:30:36.1060170Z [2022-11-23 01:26:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1253 2022-11-23T01:30:36.1060388Z [2022-11-23 01:26:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1060759Z [2022-11-23 01:26:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable()] 2022-11-23T01:30:36.1061088Z [2022-11-23 01:26:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1061443Z [2022-11-23 01:26:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1061840Z [2022-11-23 01:26:32,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1062192Z [2022-11-23 01:26:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1062617Z [2022-11-23 01:26:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1063041Z [2022-11-23 01:26:32,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.1063425Z [2022-11-23 01:26:32,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1063661Z [2022-11-23 01:26:32,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.1063945Z [2022-11-23 01:26:32,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1064275Z [2022-11-23 01:26:32,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1254 2022-11-23T01:30:36.1064523Z [2022-11-23 01:26:32,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1064924Z [2022-11-23 01:26:32,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1065276Z [2022-11-23 01:26:32,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1065659Z [2022-11-23 01:26:32,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1066079Z [2022-11-23 01:26:32,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1066534Z [2022-11-23 01:26:32,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.1066947Z [2022-11-23 01:26:32,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1067212Z [2022-11-23 01:26:32,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1067517Z [2022-11-23 01:26:32,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1067832Z [2022-11-23 01:26:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1252 2022-11-23T01:30:36.1068097Z [2022-11-23 01:26:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1068342Z [2022-11-23 01:26:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1068713Z [2022-11-23 01:26:32,806] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1068958Z [2022-11-23 01:26:32,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1069191Z [2022-11-23 01:26:32,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1069446Z [2022-11-23 01:26:32,808] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1069720Z [2022-11-23 01:26:32,812] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1069911Z [2022-11-23 01:26:32,812] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1070044Z __compiled_fn_329 .2791 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1070133Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1070305Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.1070549Z call_function, permute, , (add, [2, 1, 4, 0, 3]), {} 2022-11-23T01:30:36.1070729Z call_function, add_1, , (permute, 2), {} 2022-11-23T01:30:36.1070985Z call_function, permute_1, , (ex_0_, [2, 1, 4, 0, 3]), {} 2022-11-23T01:30:36.1071195Z call_function, add_2, , (permute_1, 2), {} 2022-11-23T01:30:36.1071300Z output, output, output, ((add_1, add_2),), {} 2022-11-23T01:30:36.1071305Z 2022-11-23T01:30:36.1071632Z [2022-11-23 01:26:32,813] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1071723Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1071814Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1071888Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1071979Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1072063Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1072153Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1072228Z 12 RETURN_VALUE 2022-11-23T01:30:36.1072233Z 2022-11-23T01:30:36.1072292Z 2022-11-23T01:30:36.1072611Z [2022-11-23 01:26:32,813] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1072721Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_329) 2022-11-23T01:30:36.1072801Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1072890Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1072966Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1073052Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1073155Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1073256Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1073344Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1073407Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1073505Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1073592Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1073667Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1073756Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1073830Z 26 RETURN_VALUE 2022-11-23T01:30:36.1073835Z 2022-11-23T01:30:36.1073896Z 2022-11-23T01:30:36.1074066Z [2022-11-23 01:26:32,814] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1074137Z - 2022-11-23T01:30:36.1074255Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1074319Z { 2022-11-23T01:30:36.1074458Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1074644Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1074762Z 'obj_weakref': None 2022-11-23T01:30:36.1074972Z 'guarded_class': 2022-11-23T01:30:36.1075037Z } 2022-11-23T01:30:36.1075100Z 2022-11-23T01:30:36.1075169Z - 2022-11-23T01:30:36.1075291Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1075353Z { 2022-11-23T01:30:36.1075497Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1075590Z 'code': None, 2022-11-23T01:30:36.1075831Z 'obj_weakref': 2022-11-23T01:30:36.1076086Z 'guarded_class': 2022-11-23T01:30:36.1076150Z } 2022-11-23T01:30:36.1076211Z 2022-11-23T01:30:36.1076279Z - 2022-11-23T01:30:36.1076408Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1076459Z { 2022-11-23T01:30:36.1076592Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1076758Z 'code': ['___check_obj_id(model, 140534429134576)'], 2022-11-23T01:30:36.1076877Z 'obj_weakref': None 2022-11-23T01:30:36.1077108Z 'guarded_class': 2022-11-23T01:30:36.1077199Z } 2022-11-23T01:30:36.1077262Z 2022-11-23T01:30:36.1077319Z - 2022-11-23T01:30:36.1077441Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1077504Z { 2022-11-23T01:30:36.1077641Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1077856Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1077974Z 'obj_weakref': None 2022-11-23T01:30:36.1078195Z 'guarded_class': 2022-11-23T01:30:36.1078244Z } 2022-11-23T01:30:36.1078307Z 2022-11-23T01:30:36.1078375Z - 2022-11-23T01:30:36.1078508Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1078570Z { 2022-11-23T01:30:36.1078688Z 'guard_types': None, 2022-11-23T01:30:36.1078793Z 'code': None, 2022-11-23T01:30:36.1078898Z 'obj_weakref': None 2022-11-23T01:30:36.1079022Z 'guarded_class': None 2022-11-23T01:30:36.1079083Z } 2022-11-23T01:30:36.1079144Z 2022-11-23T01:30:36.1079404Z [2022-11-23 01:26:32,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322 2022-11-23T01:30:36.1079772Z [2022-11-23 01:26:34,298] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rf/crficmeqayabzute35b6wdzj73mmlu2my44hcnh3zgifng5w6reg.py 2022-11-23T01:30:36.1080120Z [2022-11-23 01:26:34,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322 2022-11-23T01:30:36.1080127Z 2022-11-23T01:30:36.1080223Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1080278Z import torch 2022-11-23T01:30:36.1080348Z import random 2022-11-23T01:30:36.1080461Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1080581Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1080586Z 2022-11-23T01:30:36.1080664Z aten = torch.ops.aten 2022-11-23T01:30:36.1080801Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1080893Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1080897Z 2022-11-23T01:30:36.1080904Z 2022-11-23T01:30:36.1081039Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1081229Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1081347Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1081445Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1081541Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1081603Z { 2022-11-23T01:30:36.1081700Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1081762Z { 2022-11-23T01:30:36.1081826Z #pragma omp for 2022-11-23T01:30:36.1081906Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.1081969Z { 2022-11-23T01:30:36.1082105Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1082240Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.1082324Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1082489Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.1082575Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1082644Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.1082736Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1082825Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1082887Z } 2022-11-23T01:30:36.1082980Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1083062Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:36.1083112Z { 2022-11-23T01:30:36.1083194Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1083292Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.1083375Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1083503Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.1083587Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.1083669Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.1083738Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.1083817Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:36.1083878Z } 2022-11-23T01:30:36.1083938Z } 2022-11-23T01:30:36.1083998Z } 2022-11-23T01:30:36.1084075Z ''') 2022-11-23T01:30:36.1084080Z 2022-11-23T01:30:36.1084084Z 2022-11-23T01:30:36.1084171Z async_compile.wait(globals()) 2022-11-23T01:30:36.1084231Z del async_compile 2022-11-23T01:30:36.1084249Z 2022-11-23T01:30:36.1084308Z def call(args): 2022-11-23T01:30:36.1084377Z arg0_1, = args 2022-11-23T01:30:36.1084449Z args.clear() 2022-11-23T01:30:36.1084667Z buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1084990Z buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1085156Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1085225Z del arg0_1 2022-11-23T01:30:36.1085291Z return (buf0, buf1, ) 2022-11-23T01:30:36.1085296Z 2022-11-23T01:30:36.1085301Z 2022-11-23T01:30:36.1085376Z if __name__ == "__main__": 2022-11-23T01:30:36.1085491Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1085614Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1085832Z arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1085940Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1085944Z 2022-11-23T01:30:36.1086011Z ok (1.505s) 2022-11-23T01:30:36.1086309Z test_pow1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:34,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1086613Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1086834Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1087084Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1087363Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1087684Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1088030Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1088350Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1088776Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1088874Z 2511 0 LOAD_CLOSURE 0 (x) 2022-11-23T01:30:36.1088963Z 2 BUILD_TUPLE 1 2022-11-23T01:30:36.1089167Z 4 LOAD_CONST 1 ( at 0x7fd16a015210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>) 2022-11-23T01:30:36.1089404Z 6 LOAD_CONST 2 ('CommonTemplate.test_pow1..fn..') 2022-11-23T01:30:36.1089503Z 8 MAKE_FUNCTION 8 (closure) 2022-11-23T01:30:36.1089596Z 10 LOAD_GLOBAL 0 (range) 2022-11-23T01:30:36.1089732Z 12 LOAD_CONST 3 (-8) 2022-11-23T01:30:36.1089874Z 14 LOAD_CONST 4 (9) 2022-11-23T01:30:36.1089964Z 16 CALL_FUNCTION 2 2022-11-23T01:30:36.1090036Z 18 GET_ITER 2022-11-23T01:30:36.1090116Z 20 CALL_FUNCTION 1 2022-11-23T01:30:36.1090192Z 22 RETURN_VALUE 2022-11-23T01:30:36.1090255Z 2022-11-23T01:30:36.1090260Z 2022-11-23T01:30:36.1090574Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2511 2022-11-23T01:30:36.1090791Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x [] 2022-11-23T01:30:36.1091033Z [2022-11-23 01:26:34,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()] 2022-11-23T01:30:36.1091455Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd16a015210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> [TupleVariable()] 2022-11-23T01:30:36.1091825Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1..fn.. [TupleVariable(), ConstantVariable(code)] 2022-11-23T01:30:36.1092141Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:30:36.1092403Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()] 2022-11-23T01:30:36.1092708Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)] 2022-11-23T01:30:36.1093044Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)] 2022-11-23T01:30:36.1093428Z [2022-11-23 01:26:34,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1093726Z [2022-11-23 01:26:34,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()] 2022-11-23T01:30:36.1094034Z [2022-11-23 01:26:34,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1094418Z [2022-11-23 01:26:34,307] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a015210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 2022-11-23T01:30:36.1094510Z 2511 0 BUILD_LIST 0 2022-11-23T01:30:36.1094603Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:30:36.1094695Z >> 4 FOR_ITER 8 (to 22) 2022-11-23T01:30:36.1094773Z 6 STORE_FAST 1 (e) 2022-11-23T01:30:36.1094870Z 8 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1094963Z 10 LOAD_METHOD 1 (pow) 2022-11-23T01:30:36.1095081Z 12 LOAD_DEREF 0 (x) 2022-11-23T01:30:36.1095171Z 14 LOAD_FAST 1 (e) 2022-11-23T01:30:36.1095259Z 16 CALL_METHOD 2 2022-11-23T01:30:36.1095347Z 18 LIST_APPEND 2 2022-11-23T01:30:36.1095429Z 20 JUMP_ABSOLUTE 2 (to 4) 2022-11-23T01:30:36.1095505Z >> 22 RETURN_VALUE 2022-11-23T01:30:36.1095566Z 2022-11-23T01:30:36.1095571Z 2022-11-23T01:30:36.1095784Z [2022-11-23 01:26:34,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:30:36.1096018Z [2022-11-23 01:26:34,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:30:36.1096292Z [2022-11-23 01:26:34,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1096636Z [2022-11-23 01:26:34,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1096915Z [2022-11-23 01:26:34,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1097282Z [2022-11-23 01:26:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1097599Z [2022-11-23 01:26:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1097927Z [2022-11-23 01:26:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1098314Z [2022-11-23 01:26:34,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1098623Z [2022-11-23 01:26:34,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1098900Z [2022-11-23 01:26:34,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1099176Z [2022-11-23 01:26:34,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1099486Z [2022-11-23 01:26:34,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1099765Z [2022-11-23 01:26:34,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1100133Z [2022-11-23 01:26:34,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1100450Z [2022-11-23 01:26:34,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1100792Z [2022-11-23 01:26:34,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1101175Z [2022-11-23 01:26:34,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1101470Z [2022-11-23 01:26:34,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1101749Z [2022-11-23 01:26:34,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1102052Z [2022-11-23 01:26:34,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1102369Z [2022-11-23 01:26:34,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1102648Z [2022-11-23 01:26:34,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1103014Z [2022-11-23 01:26:34,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1103328Z [2022-11-23 01:26:34,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1103670Z [2022-11-23 01:26:34,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1104096Z [2022-11-23 01:26:34,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1104500Z [2022-11-23 01:26:34,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1104781Z [2022-11-23 01:26:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1105050Z [2022-11-23 01:26:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1105350Z [2022-11-23 01:26:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1105635Z [2022-11-23 01:26:34,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1106007Z [2022-11-23 01:26:34,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1106320Z [2022-11-23 01:26:34,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1106659Z [2022-11-23 01:26:34,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1107043Z [2022-11-23 01:26:34,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1107351Z [2022-11-23 01:26:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1107630Z [2022-11-23 01:26:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1107903Z [2022-11-23 01:26:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1108213Z [2022-11-23 01:26:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1108490Z [2022-11-23 01:26:34,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1108845Z [2022-11-23 01:26:34,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1109161Z [2022-11-23 01:26:34,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1109578Z [2022-11-23 01:26:34,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1109965Z [2022-11-23 01:26:34,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1110269Z [2022-11-23 01:26:34,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1110549Z [2022-11-23 01:26:34,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1110819Z [2022-11-23 01:26:34,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1111163Z [2022-11-23 01:26:34,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1111441Z [2022-11-23 01:26:34,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1111804Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1112119Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1112444Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1112834Z [2022-11-23 01:26:34,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1113143Z [2022-11-23 01:26:34,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1113421Z [2022-11-23 01:26:34,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1113695Z [2022-11-23 01:26:34,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1114007Z [2022-11-23 01:26:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1114286Z [2022-11-23 01:26:34,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1114655Z [2022-11-23 01:26:34,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1115064Z [2022-11-23 01:26:34,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1115454Z [2022-11-23 01:26:34,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1115838Z [2022-11-23 01:26:34,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1116141Z [2022-11-23 01:26:34,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1116408Z [2022-11-23 01:26:34,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1116722Z [2022-11-23 01:26:34,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1117032Z [2022-11-23 01:26:34,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1117312Z [2022-11-23 01:26:34,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1117678Z [2022-11-23 01:26:34,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1117993Z [2022-11-23 01:26:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1118331Z [2022-11-23 01:26:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1118745Z [2022-11-23 01:26:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1119051Z [2022-11-23 01:26:34,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1119328Z [2022-11-23 01:26:34,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1119600Z [2022-11-23 01:26:34,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1119897Z [2022-11-23 01:26:34,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1120256Z [2022-11-23 01:26:34,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1120626Z [2022-11-23 01:26:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1120937Z [2022-11-23 01:26:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1121277Z [2022-11-23 01:26:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1121662Z [2022-11-23 01:26:34,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1121969Z [2022-11-23 01:26:34,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1122249Z [2022-11-23 01:26:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1122521Z [2022-11-23 01:26:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1122830Z [2022-11-23 01:26:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1123111Z [2022-11-23 01:26:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1123477Z [2022-11-23 01:26:34,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1123782Z [2022-11-23 01:26:34,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1124152Z [2022-11-23 01:26:34,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1124537Z [2022-11-23 01:26:34,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1124937Z [2022-11-23 01:26:34,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1125220Z [2022-11-23 01:26:34,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1125491Z [2022-11-23 01:26:34,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1125976Z [2022-11-23 01:26:34,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1126336Z [2022-11-23 01:26:34,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1126704Z [2022-11-23 01:26:34,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1127019Z [2022-11-23 01:26:34,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1127358Z [2022-11-23 01:26:34,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1127735Z [2022-11-23 01:26:34,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1128044Z [2022-11-23 01:26:34,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1128324Z [2022-11-23 01:26:34,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1128593Z [2022-11-23 01:26:34,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1128901Z [2022-11-23 01:26:34,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1129178Z [2022-11-23 01:26:34,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1129542Z [2022-11-23 01:26:34,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1129862Z [2022-11-23 01:26:34,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1130202Z [2022-11-23 01:26:34,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1130584Z [2022-11-23 01:26:34,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1130886Z [2022-11-23 01:26:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1131162Z [2022-11-23 01:26:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1131468Z [2022-11-23 01:26:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1131781Z [2022-11-23 01:26:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1132059Z [2022-11-23 01:26:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1132425Z [2022-11-23 01:26:34,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1132737Z [2022-11-23 01:26:34,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1133110Z [2022-11-23 01:26:34,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1133497Z [2022-11-23 01:26:34,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1133802Z [2022-11-23 01:26:34,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1134079Z [2022-11-23 01:26:34,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1134349Z [2022-11-23 01:26:34,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1134658Z [2022-11-23 01:26:34,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1134927Z [2022-11-23 01:26:34,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1135294Z [2022-11-23 01:26:34,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1135608Z [2022-11-23 01:26:34,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1135949Z [2022-11-23 01:26:34,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1136331Z [2022-11-23 01:26:34,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1136636Z [2022-11-23 01:26:34,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1136917Z [2022-11-23 01:26:34,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1137187Z [2022-11-23 01:26:34,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1137495Z [2022-11-23 01:26:34,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1137773Z [2022-11-23 01:26:34,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1138135Z [2022-11-23 01:26:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1138438Z [2022-11-23 01:26:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1138810Z [2022-11-23 01:26:34,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1139194Z [2022-11-23 01:26:34,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1139497Z [2022-11-23 01:26:34,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1139774Z [2022-11-23 01:26:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1140048Z [2022-11-23 01:26:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1140402Z [2022-11-23 01:26:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1140681Z [2022-11-23 01:26:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1141044Z [2022-11-23 01:26:34,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1141357Z [2022-11-23 01:26:34,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1141693Z [2022-11-23 01:26:34,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1142078Z [2022-11-23 01:26:34,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1142377Z [2022-11-23 01:26:34,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1142655Z [2022-11-23 01:26:34,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1142928Z [2022-11-23 01:26:34,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1143236Z [2022-11-23 01:26:34,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1143515Z [2022-11-23 01:26:34,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1143885Z [2022-11-23 01:26:34,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:30:36.1144201Z [2022-11-23 01:26:34,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1144538Z [2022-11-23 01:26:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1144921Z [2022-11-23 01:26:34,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1145223Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.1145501Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1145791Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.1146035Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.1146423Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a015210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 2022-11-23T01:30:36.1146664Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.1147042Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1147311Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.1147549Z [2022-11-23 01:26:34,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1147801Z [2022-11-23 01:26:34,472] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1148049Z [2022-11-23 01:26:34,483] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1148237Z [2022-11-23 01:26:34,483] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1148358Z __compiled_fn_330 .2797 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1148449Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1148603Z call_function, pow_1, aten.pow, (ex_0_, -8), {} 2022-11-23T01:30:36.1148754Z call_function, pow_2, aten.pow, (ex_0_, -7), {} 2022-11-23T01:30:36.1148901Z call_function, pow_3, aten.pow, (ex_0_, -6), {} 2022-11-23T01:30:36.1149050Z call_function, pow_4, aten.pow, (ex_0_, -5), {} 2022-11-23T01:30:36.1149196Z call_function, pow_5, aten.pow, (ex_0_, -4), {} 2022-11-23T01:30:36.1149331Z call_function, pow_6, aten.pow, (ex_0_, -3), {} 2022-11-23T01:30:36.1149477Z call_function, pow_7, aten.pow, (ex_0_, -2), {} 2022-11-23T01:30:36.1149620Z call_function, pow_8, aten.pow, (ex_0_, -1), {} 2022-11-23T01:30:36.1149725Z call_function, pow_9, aten.pow, (ex_0_, 0), {} 2022-11-23T01:30:36.1149826Z call_function, pow_10, aten.pow, (ex_0_, 1), {} 2022-11-23T01:30:36.1149926Z call_function, pow_11, aten.pow, (ex_0_, 2), {} 2022-11-23T01:30:36.1150026Z call_function, pow_12, aten.pow, (ex_0_, 3), {} 2022-11-23T01:30:36.1150126Z call_function, pow_13, aten.pow, (ex_0_, 4), {} 2022-11-23T01:30:36.1150213Z call_function, pow_14, aten.pow, (ex_0_, 5), {} 2022-11-23T01:30:36.1150311Z call_function, pow_15, aten.pow, (ex_0_, 6), {} 2022-11-23T01:30:36.1150412Z call_function, pow_16, aten.pow, (ex_0_, 7), {} 2022-11-23T01:30:36.1150515Z call_function, pow_17, aten.pow, (ex_0_, 8), {} 2022-11-23T01:30:36.1150708Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {} 2022-11-23T01:30:36.1150715Z 2022-11-23T01:30:36.1151042Z [2022-11-23 01:26:34,484] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1151137Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1151223Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1151297Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1151388Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1151473Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1151560Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1151635Z 12 RETURN_VALUE 2022-11-23T01:30:36.1151640Z 2022-11-23T01:30:36.1151702Z 2022-11-23T01:30:36.1152024Z [2022-11-23 01:26:34,484] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1152168Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_330) 2022-11-23T01:30:36.1152244Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1152333Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1152408Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1152494Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1152596Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1152696Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1152783Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1152846Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1152946Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1153035Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1153137Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1153234Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1153321Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1153396Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1153481Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1153567Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.1153641Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1153738Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1153824Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.1153898Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.1153995Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1154069Z 44 LOAD_CONST 6 (5) 2022-11-23T01:30:36.1154141Z 46 BINARY_SUBSCR 2022-11-23T01:30:36.1154238Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1154327Z 50 LOAD_CONST 7 (6) 2022-11-23T01:30:36.1154400Z 52 BINARY_SUBSCR 2022-11-23T01:30:36.1154499Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1154586Z 56 LOAD_CONST 8 (7) 2022-11-23T01:30:36.1154647Z 58 BINARY_SUBSCR 2022-11-23T01:30:36.1154744Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1154830Z 62 LOAD_CONST 9 (8) 2022-11-23T01:30:36.1154906Z 64 BINARY_SUBSCR 2022-11-23T01:30:36.1155004Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1155090Z 68 LOAD_CONST 10 (9) 2022-11-23T01:30:36.1155163Z 70 BINARY_SUBSCR 2022-11-23T01:30:36.1155247Z 72 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1155337Z 74 LOAD_CONST 11 (10) 2022-11-23T01:30:36.1155413Z 76 BINARY_SUBSCR 2022-11-23T01:30:36.1155511Z 78 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1155602Z 80 LOAD_CONST 12 (11) 2022-11-23T01:30:36.1155677Z 82 BINARY_SUBSCR 2022-11-23T01:30:36.1155771Z 84 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1155858Z 86 LOAD_CONST 13 (12) 2022-11-23T01:30:36.1155920Z 88 BINARY_SUBSCR 2022-11-23T01:30:36.1156017Z 90 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1156107Z 92 LOAD_CONST 14 (13) 2022-11-23T01:30:36.1156180Z 94 BINARY_SUBSCR 2022-11-23T01:30:36.1156277Z 96 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1156362Z 98 LOAD_CONST 15 (14) 2022-11-23T01:30:36.1156435Z 100 BINARY_SUBSCR 2022-11-23T01:30:36.1156519Z 102 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1156608Z 104 LOAD_CONST 16 (15) 2022-11-23T01:30:36.1156684Z 106 BINARY_SUBSCR 2022-11-23T01:30:36.1156811Z 108 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1156900Z 110 LOAD_CONST 17 (16) 2022-11-23T01:30:36.1156976Z 112 BINARY_SUBSCR 2022-11-23T01:30:36.1157061Z 114 BUILD_LIST 17 2022-11-23T01:30:36.1157122Z 116 RETURN_VALUE 2022-11-23T01:30:36.1157127Z 2022-11-23T01:30:36.1157189Z 2022-11-23T01:30:36.1157372Z [2022-11-23 01:26:34,485] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1157443Z - 2022-11-23T01:30:36.1157562Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1157625Z { 2022-11-23T01:30:36.1157765Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1157938Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1158088Z 'obj_weakref': None 2022-11-23T01:30:36.1158312Z 'guarded_class': 2022-11-23T01:30:36.1158378Z } 2022-11-23T01:30:36.1158445Z 2022-11-23T01:30:36.1158514Z - 2022-11-23T01:30:36.1158637Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1158687Z { 2022-11-23T01:30:36.1158828Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1158936Z 'code': None, 2022-11-23T01:30:36.1159150Z 'obj_weakref': 2022-11-23T01:30:36.1159399Z 'guarded_class': 2022-11-23T01:30:36.1159462Z } 2022-11-23T01:30:36.1159526Z 2022-11-23T01:30:36.1159584Z - 2022-11-23T01:30:36.1159714Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1159779Z { 2022-11-23T01:30:36.1159915Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1160180Z 'code': ['___check_obj_id(model, 140534620128160)'], 2022-11-23T01:30:36.1160304Z 'obj_weakref': None 2022-11-23T01:30:36.1160536Z 'guarded_class': 2022-11-23T01:30:36.1160587Z } 2022-11-23T01:30:36.1160650Z 2022-11-23T01:30:36.1160718Z - 2022-11-23T01:30:36.1160840Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1160903Z { 2022-11-23T01:30:36.1161039Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1161253Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1161358Z 'obj_weakref': None 2022-11-23T01:30:36.1161580Z 'guarded_class': 2022-11-23T01:30:36.1161644Z } 2022-11-23T01:30:36.1161713Z 2022-11-23T01:30:36.1161782Z - 2022-11-23T01:30:36.1161913Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1161977Z { 2022-11-23T01:30:36.1162086Z 'guard_types': None, 2022-11-23T01:30:36.1162192Z 'code': None, 2022-11-23T01:30:36.1162310Z 'obj_weakref': None 2022-11-23T01:30:36.1162432Z 'guarded_class': None 2022-11-23T01:30:36.1162495Z } 2022-11-23T01:30:36.1162558Z 2022-11-23T01:30:36.1162614Z - 2022-11-23T01:30:36.1162745Z global 'range' BUILTIN_MATCH 2022-11-23T01:30:36.1162809Z { 2022-11-23T01:30:36.1162926Z 'guard_types': None, 2022-11-23T01:30:36.1163030Z 'code': None, 2022-11-23T01:30:36.1163146Z 'obj_weakref': None 2022-11-23T01:30:36.1163265Z 'guarded_class': None 2022-11-23T01:30:36.1163316Z } 2022-11-23T01:30:36.1163379Z 2022-11-23T01:30:36.1163643Z [2022-11-23 01:26:34,503] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323 2022-11-23T01:30:36.1164051Z [2022-11-23 01:26:35,995] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f5/cf5eb3pcpwb2ifulv5idlurfcizzu3bcxlbi32rlyshegpa5ev7o.py 2022-11-23T01:30:36.1164318Z [2022-11-23 01:26:35,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323 2022-11-23T01:30:36.1164325Z 2022-11-23T01:30:36.1164419Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1164488Z import torch 2022-11-23T01:30:36.1164557Z import random 2022-11-23T01:30:36.1164660Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1164898Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1164903Z 2022-11-23T01:30:36.1164983Z aten = torch.ops.aten 2022-11-23T01:30:36.1165116Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1165207Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1165260Z 2022-11-23T01:30:36.1165264Z 2022-11-23T01:30:36.1165400Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1165609Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1165727Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1165814Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1165912Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.1166006Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.1166099Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.1166192Z float* __restrict__ out_ptr4, 2022-11-23T01:30:36.1166283Z float* __restrict__ out_ptr5, 2022-11-23T01:30:36.1166375Z float* __restrict__ out_ptr6, 2022-11-23T01:30:36.1166466Z float* __restrict__ out_ptr7, 2022-11-23T01:30:36.1166548Z float* __restrict__ out_ptr8, 2022-11-23T01:30:36.1166639Z float* __restrict__ out_ptr9, 2022-11-23T01:30:36.1166742Z float* __restrict__ out_ptr10, 2022-11-23T01:30:36.1166840Z float* __restrict__ out_ptr11, 2022-11-23T01:30:36.1166939Z float* __restrict__ out_ptr12, 2022-11-23T01:30:36.1167033Z float* __restrict__ out_ptr13, 2022-11-23T01:30:36.1167125Z float* __restrict__ out_ptr14, 2022-11-23T01:30:36.1167205Z float* __restrict__ out_ptr15) 2022-11-23T01:30:36.1167266Z { 2022-11-23T01:30:36.1167365Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1167425Z { 2022-11-23T01:30:36.1167501Z #pragma omp for 2022-11-23T01:30:36.1167582Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.1167643Z { 2022-11-23T01:30:36.1167773Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1167872Z auto tmp1 = tmp0.reciprocal(); 2022-11-23T01:30:36.1167956Z auto tmp2 = tmp1 * tmp1; 2022-11-23T01:30:36.1168041Z auto tmp3 = tmp2 * tmp2; 2022-11-23T01:30:36.1168123Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:36.1168202Z auto tmp5 = tmp2 * tmp1; 2022-11-23T01:30:36.1168282Z auto tmp6 = tmp5 * tmp5; 2022-11-23T01:30:36.1168349Z auto tmp7 = tmp6 * tmp1; 2022-11-23T01:30:36.1168428Z auto tmp8 = tmp3 * tmp1; 2022-11-23T01:30:36.1168559Z auto tmp9 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.1168644Z auto tmp10 = tmp0 * tmp0; 2022-11-23T01:30:36.1168728Z auto tmp11 = tmp10 * tmp0; 2022-11-23T01:30:36.1168812Z auto tmp12 = tmp10 * tmp10; 2022-11-23T01:30:36.1168895Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:30:36.1168966Z auto tmp14 = tmp11 * tmp11; 2022-11-23T01:30:36.1169053Z auto tmp15 = tmp14 * tmp0; 2022-11-23T01:30:36.1169135Z auto tmp16 = tmp12 * tmp12; 2022-11-23T01:30:36.1169226Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1169359Z tmp7.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1169449Z tmp6.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.1169538Z tmp8.store(out_ptr3 + 8*i0); 2022-11-23T01:30:36.1169612Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:30:36.1169699Z tmp5.store(out_ptr5 + 8*i0); 2022-11-23T01:30:36.1169784Z tmp2.store(out_ptr6 + 8*i0); 2022-11-23T01:30:36.1169871Z tmp1.store(out_ptr7 + 8*i0); 2022-11-23T01:30:36.1169957Z tmp9.store(out_ptr8 + 8*i0); 2022-11-23T01:30:36.1170046Z tmp10.store(out_ptr9 + 8*i0); 2022-11-23T01:30:36.1170139Z tmp11.store(out_ptr10 + 8*i0); 2022-11-23T01:30:36.1170217Z tmp12.store(out_ptr11 + 8*i0); 2022-11-23T01:30:36.1170307Z tmp13.store(out_ptr12 + 8*i0); 2022-11-23T01:30:36.1170427Z tmp14.store(out_ptr13 + 8*i0); 2022-11-23T01:30:36.1170514Z tmp15.store(out_ptr14 + 8*i0); 2022-11-23T01:30:36.1170606Z tmp16.store(out_ptr15 + 8*i0); 2022-11-23T01:30:36.1170668Z } 2022-11-23T01:30:36.1170771Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1170842Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.1170904Z { 2022-11-23T01:30:36.1170987Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1171067Z auto tmp1 = 1 / tmp0; 2022-11-23T01:30:36.1171150Z auto tmp2 = tmp1 * tmp1; 2022-11-23T01:30:36.1171230Z auto tmp3 = tmp2 * tmp2; 2022-11-23T01:30:36.1171310Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:30:36.1171376Z auto tmp5 = tmp2 * tmp1; 2022-11-23T01:30:36.1171455Z auto tmp6 = tmp5 * tmp5; 2022-11-23T01:30:36.1171534Z auto tmp7 = tmp6 * tmp1; 2022-11-23T01:30:36.1171613Z auto tmp8 = tmp3 * tmp1; 2022-11-23T01:30:36.1171715Z auto tmp9 = static_cast(1); 2022-11-23T01:30:36.1171798Z auto tmp10 = tmp0 * tmp0; 2022-11-23T01:30:36.1171883Z auto tmp11 = tmp10 * tmp0; 2022-11-23T01:30:36.1171954Z auto tmp12 = tmp10 * tmp10; 2022-11-23T01:30:36.1172036Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:30:36.1172120Z auto tmp14 = tmp11 * tmp11; 2022-11-23T01:30:36.1172201Z auto tmp15 = tmp14 * tmp0; 2022-11-23T01:30:36.1172282Z auto tmp16 = tmp12 * tmp12; 2022-11-23T01:30:36.1172361Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.1172438Z out_ptr1[i0] = tmp7; 2022-11-23T01:30:36.1172501Z out_ptr2[i0] = tmp6; 2022-11-23T01:30:36.1172576Z out_ptr3[i0] = tmp8; 2022-11-23T01:30:36.1172652Z out_ptr4[i0] = tmp3; 2022-11-23T01:30:36.1172728Z out_ptr5[i0] = tmp5; 2022-11-23T01:30:36.1172802Z out_ptr6[i0] = tmp2; 2022-11-23T01:30:36.1172880Z out_ptr7[i0] = tmp1; 2022-11-23T01:30:36.1172954Z out_ptr8[i0] = tmp9; 2022-11-23T01:30:36.1173020Z out_ptr9[i0] = tmp10; 2022-11-23T01:30:36.1173102Z out_ptr10[i0] = tmp11; 2022-11-23T01:30:36.1173185Z out_ptr11[i0] = tmp12; 2022-11-23T01:30:36.1173261Z out_ptr12[i0] = tmp13; 2022-11-23T01:30:36.1173337Z out_ptr13[i0] = tmp14; 2022-11-23T01:30:36.1173412Z out_ptr14[i0] = tmp15; 2022-11-23T01:30:36.1173475Z out_ptr15[i0] = tmp16; 2022-11-23T01:30:36.1173535Z } 2022-11-23T01:30:36.1173595Z } 2022-11-23T01:30:36.1173712Z } 2022-11-23T01:30:36.1173792Z ''') 2022-11-23T01:30:36.1173799Z 2022-11-23T01:30:36.1173803Z 2022-11-23T01:30:36.1173891Z async_compile.wait(globals()) 2022-11-23T01:30:36.1173963Z del async_compile 2022-11-23T01:30:36.1173968Z 2022-11-23T01:30:36.1174037Z def call(args): 2022-11-23T01:30:36.1174095Z arg0_1, = args 2022-11-23T01:30:36.1174164Z args.clear() 2022-11-23T01:30:36.1174371Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1174600Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1174796Z buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1174986Z buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1175174Z buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1175352Z buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1175541Z buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1175731Z buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1175918Z buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1176107Z buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1176333Z buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1176529Z buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1176722Z buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1176903Z buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1177092Z buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1177281Z buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1177778Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr())) 2022-11-23T01:30:36.1177946Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, ) 2022-11-23T01:30:36.1177951Z 2022-11-23T01:30:36.1177956Z 2022-11-23T01:30:36.1178033Z if __name__ == "__main__": 2022-11-23T01:30:36.1178148Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1178271Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1178467Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1178574Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1178579Z 2022-11-23T01:30:36.1178644Z ok (1.699s) 2022-11-23T01:30:36.1178929Z test_pow2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1179251Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1179468Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1179721Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1179999Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1180319Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1180662Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1180987Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1181391Z [2022-11-23 01:26:36,003] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1181487Z 2520 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1181568Z 2 LOAD_METHOD 1 (pow) 2022-11-23T01:30:36.1181659Z 4 LOAD_CONST 1 (1000) 2022-11-23T01:30:36.1181747Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1181835Z 8 CALL_METHOD 2 2022-11-23T01:30:36.1181926Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1182015Z 12 LOAD_METHOD 1 (pow) 2022-11-23T01:30:36.1182103Z 14 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1182219Z 16 LOAD_CONST 1 (1000) 2022-11-23T01:30:36.1182306Z 18 CALL_METHOD 2 2022-11-23T01:30:36.1182394Z 20 BUILD_TUPLE 2 2022-11-23T01:30:36.1182471Z 22 RETURN_VALUE 2022-11-23T01:30:36.1182531Z 2022-11-23T01:30:36.1182536Z 2022-11-23T01:30:36.1182849Z [2022-11-23 01:26:36,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2520 2022-11-23T01:30:36.1183062Z [2022-11-23 01:26:36,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1183365Z [2022-11-23 01:26:36,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable()] 2022-11-23T01:30:36.1183606Z [2022-11-23 01:26:36,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)] 2022-11-23T01:30:36.1183893Z [2022-11-23 01:26:36,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)] 2022-11-23T01:30:36.1184214Z [2022-11-23 01:26:36,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1184457Z [2022-11-23 01:26:36,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.1184785Z [2022-11-23 01:26:36,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1185058Z [2022-11-23 01:26:36,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:30:36.1185364Z [2022-11-23 01:26:36,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:30:36.1185710Z [2022-11-23 01:26:36,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1185983Z [2022-11-23 01:26:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1186225Z [2022-11-23 01:26:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1186598Z [2022-11-23 01:26:36,018] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1186829Z [2022-11-23 01:26:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1187063Z [2022-11-23 01:26:36,018] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1187317Z [2022-11-23 01:26:36,020] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1187565Z [2022-11-23 01:26:36,023] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1187780Z [2022-11-23 01:26:36,023] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1187915Z __compiled_fn_331 .2803 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1188003Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1188111Z call_function, pow_1, aten.pow, (1000, ex_0_), {} 2022-11-23T01:30:36.1188204Z call_function, pow_2, aten.pow, (ex_0_, 1000), {} 2022-11-23T01:30:36.1188309Z output, output, output, ((pow_1, pow_2),), {} 2022-11-23T01:30:36.1188315Z 2022-11-23T01:30:36.1188639Z [2022-11-23 01:26:36,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1188731Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1188819Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1188933Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1189026Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1189114Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1189190Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1189265Z 12 RETURN_VALUE 2022-11-23T01:30:36.1189270Z 2022-11-23T01:30:36.1189330Z 2022-11-23T01:30:36.1189652Z [2022-11-23 01:26:36,023] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1189759Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_331) 2022-11-23T01:30:36.1189847Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1189935Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1190011Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1190084Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1190188Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1190288Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1190379Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1190454Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1190552Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1190639Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1190701Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1190787Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1190860Z 26 RETURN_VALUE 2022-11-23T01:30:36.1190865Z 2022-11-23T01:30:36.1190925Z 2022-11-23T01:30:36.1191106Z [2022-11-23 01:26:36,024] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1191175Z - 2022-11-23T01:30:36.1191295Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1191347Z { 2022-11-23T01:30:36.1191487Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1191676Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1191795Z 'obj_weakref': None 2022-11-23T01:30:36.1192021Z 'guarded_class': 2022-11-23T01:30:36.1192086Z } 2022-11-23T01:30:36.1192149Z 2022-11-23T01:30:36.1192205Z - 2022-11-23T01:30:36.1192330Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1192394Z { 2022-11-23T01:30:36.1192538Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1192645Z 'code': None, 2022-11-23T01:30:36.1192855Z 'obj_weakref': 2022-11-23T01:30:36.1193108Z 'guarded_class': 2022-11-23T01:30:36.1193160Z } 2022-11-23T01:30:36.1193224Z 2022-11-23T01:30:36.1193296Z - 2022-11-23T01:30:36.1193429Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1193492Z { 2022-11-23T01:30:36.1193625Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1193820Z 'code': ['___check_obj_id(model, 140534429631968)'], 2022-11-23T01:30:36.1193928Z 'obj_weakref': None 2022-11-23T01:30:36.1194157Z 'guarded_class': 2022-11-23T01:30:36.1194220Z } 2022-11-23T01:30:36.1194284Z 2022-11-23T01:30:36.1194352Z - 2022-11-23T01:30:36.1194471Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1194534Z { 2022-11-23T01:30:36.1194655Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1194870Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1194988Z 'obj_weakref': None 2022-11-23T01:30:36.1195246Z 'guarded_class': 2022-11-23T01:30:36.1195313Z } 2022-11-23T01:30:36.1195378Z 2022-11-23T01:30:36.1195447Z - 2022-11-23T01:30:36.1195565Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1195629Z { 2022-11-23T01:30:36.1195747Z 'guard_types': None, 2022-11-23T01:30:36.1195854Z 'code': None, 2022-11-23T01:30:36.1195969Z 'obj_weakref': None 2022-11-23T01:30:36.1196089Z 'guarded_class': None 2022-11-23T01:30:36.1196151Z } 2022-11-23T01:30:36.1196201Z 2022-11-23T01:30:36.1196460Z [2022-11-23 01:26:36,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324 2022-11-23T01:30:36.1196828Z [2022-11-23 01:26:37,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6p/c6p3r5prgjnylhu2itwr6j23k24oevemhgb2yn6liwh5phku55ah.py 2022-11-23T01:30:36.1197096Z [2022-11-23 01:26:37,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324 2022-11-23T01:30:36.1197101Z 2022-11-23T01:30:36.1197196Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1197267Z import torch 2022-11-23T01:30:36.1197335Z import random 2022-11-23T01:30:36.1197450Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1197559Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1197563Z 2022-11-23T01:30:36.1197646Z aten = torch.ops.aten 2022-11-23T01:30:36.1197780Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1197876Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1197881Z 2022-11-23T01:30:36.1197885Z 2022-11-23T01:30:36.1198017Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1198223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1198342Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1198445Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1198529Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1198590Z { 2022-11-23T01:30:36.1198693Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1198758Z { 2022-11-23T01:30:36.1198837Z #pragma omp for 2022-11-23T01:30:36.1198919Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.1198982Z { 2022-11-23T01:30:36.1199106Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1199241Z auto tmp0 = at::vec::Vectorized(static_cast(1000)); 2022-11-23T01:30:36.1199331Z auto tmp2 = tmp0.pow(tmp1); 2022-11-23T01:30:36.1199421Z auto tmp3 = tmp1.pow(tmp0); 2022-11-23T01:30:36.1199514Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1199603Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1199666Z } 2022-11-23T01:30:36.1199750Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1199832Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.1199896Z { 2022-11-23T01:30:36.1200104Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:30:36.1200214Z auto tmp0 = static_cast(1000); 2022-11-23T01:30:36.1200316Z auto tmp2 = std::pow(tmp0, tmp1); 2022-11-23T01:30:36.1200413Z auto tmp3 = std::pow(tmp1, tmp0); 2022-11-23T01:30:36.1200482Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.1200560Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:36.1200622Z } 2022-11-23T01:30:36.1200684Z } 2022-11-23T01:30:36.1200744Z } 2022-11-23T01:30:36.1200825Z ''') 2022-11-23T01:30:36.1200830Z 2022-11-23T01:30:36.1200835Z 2022-11-23T01:30:36.1200923Z async_compile.wait(globals()) 2022-11-23T01:30:36.1200983Z del async_compile 2022-11-23T01:30:36.1200988Z 2022-11-23T01:30:36.1201058Z def call(args): 2022-11-23T01:30:36.1201128Z arg0_1, = args 2022-11-23T01:30:36.1201230Z args.clear() 2022-11-23T01:30:36.1201434Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1201631Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1201795Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1201862Z del arg0_1 2022-11-23T01:30:36.1201927Z return (buf0, buf1, ) 2022-11-23T01:30:36.1201932Z 2022-11-23T01:30:36.1201936Z 2022-11-23T01:30:36.1202011Z if __name__ == "__main__": 2022-11-23T01:30:36.1202122Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1202243Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1202440Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1202546Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1202551Z 2022-11-23T01:30:36.1202616Z ok (1.470s) 2022-11-23T01:30:36.1202912Z test_pow3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:37,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:36.1203219Z [2022-11-23 01:26:37,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2535 2022-11-23T01:30:36.1203440Z [2022-11-23 01:26:37,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1203808Z [2022-11-23 01:26:37,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:30:36.1204134Z [2022-11-23 01:26:37,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable()] 2022-11-23T01:30:36.1204498Z [2022-11-23 01:26:37,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.1205039Z [2022-11-23 01:26:37,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(float), UserDefinedObjectVariable(CpuTests)] 2022-11-23T01:30:36.1205461Z [2022-11-23 01:26:37,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(float), ConstantVariable(str)] 2022-11-23T01:30:36.1205918Z [2022-11-23 01:26:37,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:36.1206160Z [2022-11-23 01:26:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()] 2022-11-23T01:30:36.1206474Z [2022-11-23 01:26:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2536 2022-11-23T01:30:36.1206734Z [2022-11-23 01:26:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z [] 2022-11-23T01:30:36.1206975Z [2022-11-23 01:26:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.1207237Z [2022-11-23 01:26:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1207476Z [2022-11-23 01:26:37,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()] 2022-11-23T01:30:36.1207788Z [2022-11-23 01:26:37,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2537 2022-11-23T01:30:36.1208008Z [2022-11-23 01:26:37,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1208370Z [2022-11-23 01:26:37,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable()] 2022-11-23T01:30:36.1208757Z [2022-11-23 01:26:37,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable()] 2022-11-23T01:30:36.1209103Z [2022-11-23 01:26:37,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1209493Z [2022-11-23 01:26:37,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.1209737Z [2022-11-23 01:26:37,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1209970Z [2022-11-23 01:26:37,477] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:36.1210200Z [2022-11-23 01:26:37,478] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.1210439Z [2022-11-23 01:26:37,481] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.1210628Z [2022-11-23 01:26:37,481] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1210764Z __compiled_fn_332 .2809 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1210849Z placeholder, x, x, (), {} 2022-11-23T01:30:36.1211102Z call_function, tensor, , (0.123,), {'device': 'cpu'} 2022-11-23T01:30:36.1211278Z call_function, add, , (tensor, x), {} 2022-11-23T01:30:36.1211506Z call_function, pow_1, , (add, 0.5), {} 2022-11-23T01:30:36.1211590Z output, output, output, ((pow_1,),), {} 2022-11-23T01:30:36.1211608Z 2022-11-23T01:30:36.1211918Z [2022-11-23 01:26:37,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 2022-11-23T01:30:36.1212020Z 2535 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1212114Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.1212204Z 4 LOAD_CONST 1 (0.123) 2022-11-23T01:30:36.1212295Z 6 LOAD_DEREF 0 (self) 2022-11-23T01:30:36.1212383Z 8 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.1212530Z 10 LOAD_CONST 2 (('device',)) 2022-11-23T01:30:36.1212610Z 12 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.1212701Z 14 STORE_FAST 1 (z) 2022-11-23T01:30:36.1212706Z 2022-11-23T01:30:36.1212793Z 2536 16 LOAD_FAST 1 (z) 2022-11-23T01:30:36.1212880Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1212953Z 20 BINARY_ADD 2022-11-23T01:30:36.1213042Z 22 STORE_FAST 2 (w) 2022-11-23T01:30:36.1213047Z 2022-11-23T01:30:36.1213139Z 2537 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1213259Z 26 LOAD_METHOD 3 (pow) 2022-11-23T01:30:36.1213334Z 28 LOAD_FAST 2 (w) 2022-11-23T01:30:36.1213423Z 30 LOAD_CONST 3 (0.5) 2022-11-23T01:30:36.1213510Z 32 CALL_METHOD 2 2022-11-23T01:30:36.1213585Z 34 RETURN_VALUE 2022-11-23T01:30:36.1213590Z 2022-11-23T01:30:36.1213650Z 2022-11-23T01:30:36.1213975Z [2022-11-23 01:26:37,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 2022-11-23T01:30:36.1214082Z 2534 0 LOAD_GLOBAL 4 (__compiled_fn_332) 2022-11-23T01:30:36.1214168Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1214244Z 4 CALL_FUNCTION 1 2022-11-23T01:30:36.1214364Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1214439Z 8 RETURN_VALUE 2022-11-23T01:30:36.1214444Z 2022-11-23T01:30:36.1214506Z 2022-11-23T01:30:36.1214690Z [2022-11-23 01:26:37,482] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1214760Z - 2022-11-23T01:30:36.1214878Z local 'x' TENSOR_MATCH 2022-11-23T01:30:36.1214929Z { 2022-11-23T01:30:36.1215070Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1215175Z 'code': None, 2022-11-23T01:30:36.1215387Z 'obj_weakref': 2022-11-23T01:30:36.1215637Z 'guarded_class': 2022-11-23T01:30:36.1215701Z } 2022-11-23T01:30:36.1215763Z 2022-11-23T01:30:36.1215819Z - 2022-11-23T01:30:36.1215938Z local 'self' TYPE_MATCH 2022-11-23T01:30:36.1216003Z { 2022-11-23T01:30:36.1216140Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.1216307Z 'code': ['___check_type_id(self, 94427368810944)'], 2022-11-23T01:30:36.1216521Z 'obj_weakref': 2022-11-23T01:30:36.1216753Z 'guarded_class': 2022-11-23T01:30:36.1216804Z } 2022-11-23T01:30:36.1216868Z 2022-11-23T01:30:36.1216937Z - 2022-11-23T01:30:36.1217080Z local 'self.device' CONSTANT_MATCH 2022-11-23T01:30:36.1217143Z { 2022-11-23T01:30:36.1217283Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1217497Z 'code': ['___check_type_id(self.device, 94427249860800)', "self.device == 'cpu'"], 2022-11-23T01:30:36.1217603Z 'obj_weakref': None 2022-11-23T01:30:36.1217824Z 'guarded_class': 2022-11-23T01:30:36.1217888Z } 2022-11-23T01:30:36.1217950Z 2022-11-23T01:30:36.1218020Z - 2022-11-23T01:30:36.1218152Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1218214Z { 2022-11-23T01:30:36.1218321Z 'guard_types': None, 2022-11-23T01:30:36.1218426Z 'code': None, 2022-11-23T01:30:36.1218543Z 'obj_weakref': None 2022-11-23T01:30:36.1218661Z 'guarded_class': None 2022-11-23T01:30:36.1218723Z } 2022-11-23T01:30:36.1218784Z 2022-11-23T01:30:36.1219044Z [2022-11-23 01:26:37,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325 2022-11-23T01:30:36.1219398Z [2022-11-23 01:26:38,917] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7ix7rzjowagdhv6v7zk5pnur3ok6wjimgi5aqo6heppbscoqz6.py 2022-11-23T01:30:36.1219661Z [2022-11-23 01:26:38,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325 2022-11-23T01:30:36.1219668Z 2022-11-23T01:30:36.1219762Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1219859Z import torch 2022-11-23T01:30:36.1219931Z import random 2022-11-23T01:30:36.1220045Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1220165Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1220170Z 2022-11-23T01:30:36.1220246Z aten = torch.ops.aten 2022-11-23T01:30:36.1220367Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1220458Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1220463Z 2022-11-23T01:30:36.1220467Z 2022-11-23T01:30:36.1220600Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1220803Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1220922Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1221050Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1221110Z { 2022-11-23T01:30:36.1221170Z { 2022-11-23T01:30:36.1221221Z { 2022-11-23T01:30:36.1221307Z auto tmp1 = in_ptr0[0]; 2022-11-23T01:30:36.1221416Z auto tmp0 = static_cast(0.12300000339746475); 2022-11-23T01:30:36.1221501Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1221594Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:30:36.1221671Z out_ptr0[0] = tmp3; 2022-11-23T01:30:36.1221732Z } 2022-11-23T01:30:36.1221780Z } 2022-11-23T01:30:36.1221840Z } 2022-11-23T01:30:36.1221919Z ''') 2022-11-23T01:30:36.1221923Z 2022-11-23T01:30:36.1221927Z 2022-11-23T01:30:36.1222016Z async_compile.wait(globals()) 2022-11-23T01:30:36.1222089Z del async_compile 2022-11-23T01:30:36.1222093Z 2022-11-23T01:30:36.1222162Z def call(args): 2022-11-23T01:30:36.1222230Z arg0_1, = args 2022-11-23T01:30:36.1222289Z args.clear() 2022-11-23T01:30:36.1222476Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1222609Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1222679Z del arg0_1 2022-11-23T01:30:36.1222750Z return (buf0, ) 2022-11-23T01:30:36.1222754Z 2022-11-23T01:30:36.1222758Z 2022-11-23T01:30:36.1222834Z if __name__ == "__main__": 2022-11-23T01:30:36.1222948Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1223068Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1223241Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1223347Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1223352Z 2022-11-23T01:30:36.1223419Z ok (1.449s) 2022-11-23T01:30:36.1223748Z test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:26:38,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:36.1224066Z [2022-11-23 01:26:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3876 2022-11-23T01:30:36.1224286Z [2022-11-23 01:26:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1224662Z [2022-11-23 01:26:38,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable()] 2022-11-23T01:30:36.1224990Z [2022-11-23 01:26:38,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1225354Z [2022-11-23 01:26:38,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1225586Z [2022-11-23 01:26:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1226014Z [2022-11-23 01:26:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1226377Z [2022-11-23 01:26:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1226766Z [2022-11-23 01:26:38,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1227032Z [2022-11-23 01:26:38,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1227276Z [2022-11-23 01:26:38,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1227505Z [2022-11-23 01:26:38,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:36.1227794Z [2022-11-23 01:26:38,925] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.1228031Z [2022-11-23 01:26:38,928] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.1228218Z [2022-11-23 01:26:38,929] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1228339Z __compiled_fn_333 .2815 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1228422Z placeholder, a, a, (), {} 2022-11-23T01:30:36.1228558Z call_function, rand_like_3, , (a,), {} 2022-11-23T01:30:36.1228692Z call_function, rand_like_2, , (a,), {} 2022-11-23T01:30:36.1228808Z output, output, output, ((rand_like_3, rand_like_2),), {} 2022-11-23T01:30:36.1228813Z 2022-11-23T01:30:36.1229139Z [2022-11-23 01:26:38,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 2022-11-23T01:30:36.1229237Z 3876 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1229337Z 2 LOAD_METHOD 1 (rand_like) 2022-11-23T01:30:36.1229425Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1229500Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1229592Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1229690Z 10 LOAD_METHOD 1 (rand_like) 2022-11-23T01:30:36.1229779Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1229866Z 14 CALL_METHOD 1 2022-11-23T01:30:36.1229951Z 16 BUILD_TUPLE 2 2022-11-23T01:30:36.1230027Z 18 RETURN_VALUE 2022-11-23T01:30:36.1230031Z 2022-11-23T01:30:36.1230078Z 2022-11-23T01:30:36.1230403Z [2022-11-23 01:26:38,929] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 2022-11-23T01:30:36.1230512Z 3874 0 LOAD_GLOBAL 2 (__compiled_fn_333) 2022-11-23T01:30:36.1230604Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1230693Z 4 CALL_FUNCTION 1 2022-11-23T01:30:36.1230795Z 6 STORE_FAST 1 (___graph_out_0) 2022-11-23T01:30:36.1230895Z 8 LOAD_FAST 1 (___graph_out_0) 2022-11-23T01:30:36.1230982Z 10 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1231047Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1231145Z 14 LOAD_FAST 1 (___graph_out_0) 2022-11-23T01:30:36.1231231Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1231307Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1231394Z 20 BUILD_TUPLE 2 2022-11-23T01:30:36.1231467Z 22 RETURN_VALUE 2022-11-23T01:30:36.1231474Z 2022-11-23T01:30:36.1231533Z 2022-11-23T01:30:36.1231704Z [2022-11-23 01:26:38,929] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1231774Z - 2022-11-23T01:30:36.1231925Z local 'a' TENSOR_MATCH 2022-11-23T01:30:36.1231991Z { 2022-11-23T01:30:36.1232135Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1232240Z 'code': None, 2022-11-23T01:30:36.1232452Z 'obj_weakref': 2022-11-23T01:30:36.1232691Z 'guarded_class': 2022-11-23T01:30:36.1232757Z } 2022-11-23T01:30:36.1232820Z 2022-11-23T01:30:36.1232889Z - 2022-11-23T01:30:36.1233022Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1233085Z { 2022-11-23T01:30:36.1233207Z 'guard_types': None, 2022-11-23T01:30:36.1233327Z 'code': None, 2022-11-23T01:30:36.1233445Z 'obj_weakref': None 2022-11-23T01:30:36.1233567Z 'guarded_class': None 2022-11-23T01:30:36.1233631Z } 2022-11-23T01:30:36.1233696Z 2022-11-23T01:30:36.1233954Z [2022-11-23 01:26:38,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326 2022-11-23T01:30:36.1234209Z [2022-11-23 01:26:38,937] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:30:36.1234559Z [2022-11-23 01:26:40,360] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c7/cc7vj3as7su3q6uixd6mpxppzxb6mxzfg7la2dc2ujsb33uitgmr.py 2022-11-23T01:30:36.1234821Z [2022-11-23 01:26:40,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326 2022-11-23T01:30:36.1234825Z 2022-11-23T01:30:36.1234920Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1234990Z import torch 2022-11-23T01:30:36.1235064Z import random 2022-11-23T01:30:36.1235179Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1235299Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1235304Z 2022-11-23T01:30:36.1235388Z aten = torch.ops.aten 2022-11-23T01:30:36.1235509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1235600Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1235760Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:30:36.1235765Z 2022-11-23T01:30:36.1235769Z 2022-11-23T01:30:36.1235903Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1236109Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1236225Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:30:36.1236325Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1236419Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1236470Z { 2022-11-23T01:30:36.1236568Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1236630Z { 2022-11-23T01:30:36.1236709Z #pragma omp for 2022-11-23T01:30:36.1236793Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:36.1236856Z { 2022-11-23T01:30:36.1236920Z { 2022-11-23T01:30:36.1236973Z { 2022-11-23T01:30:36.1237058Z auto tmp0 = seed0[0]; 2022-11-23T01:30:36.1237161Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:36.1237301Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:30:36.1237408Z auto tmp3 = static_cast(1024 + i0); 2022-11-23T01:30:36.1237543Z auto tmp4 = static_cast(normalized_rand_cpu(tmp0, tmp3));; 2022-11-23T01:30:36.1237627Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.1237698Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.1237768Z } 2022-11-23T01:30:36.1237832Z } 2022-11-23T01:30:36.1237895Z } 2022-11-23T01:30:36.1237956Z } 2022-11-23T01:30:36.1238016Z } 2022-11-23T01:30:36.1238095Z ''') 2022-11-23T01:30:36.1238134Z 2022-11-23T01:30:36.1238139Z 2022-11-23T01:30:36.1238217Z async_compile.wait(globals()) 2022-11-23T01:30:36.1238289Z del async_compile 2022-11-23T01:30:36.1238294Z 2022-11-23T01:30:36.1238362Z def call(args): 2022-11-23T01:30:36.1238432Z arg0_1, = args 2022-11-23T01:30:36.1238504Z args.clear() 2022-11-23T01:30:36.1238635Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:30:36.1238834Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1239017Z buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1239192Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1239268Z return (buf0, buf1, ) 2022-11-23T01:30:36.1239319Z 2022-11-23T01:30:36.1239323Z 2022-11-23T01:30:36.1239400Z if __name__ == "__main__": 2022-11-23T01:30:36.1239517Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1239640Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1239833Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1240118Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1240215Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1240234Z 2022-11-23T01:30:36.1240288Z ok (1.444s) 2022-11-23T01:30:36.1240599Z test_reduction1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:40,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1240915Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1241138Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1241393Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1241672Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1241994Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1242341Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1242668Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1243045Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1243131Z 772 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1243226Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.1243316Z 4 CALL_METHOD 0 2022-11-23T01:30:36.1243406Z 6 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1243496Z 8 LOAD_METHOD 1 (max) 2022-11-23T01:30:36.1243581Z 10 CALL_METHOD 0 2022-11-23T01:30:36.1243673Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1243750Z 14 LOAD_METHOD 2 (min) 2022-11-23T01:30:36.1243832Z 16 CALL_METHOD 0 2022-11-23T01:30:36.1243918Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1244011Z 20 LOAD_METHOD 3 (argmax) 2022-11-23T01:30:36.1244098Z 22 CALL_METHOD 0 2022-11-23T01:30:36.1244183Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1244276Z 26 LOAD_METHOD 4 (argmin) 2022-11-23T01:30:36.1244384Z 28 CALL_METHOD 0 2022-11-23T01:30:36.1244469Z 30 BUILD_TUPLE 5 2022-11-23T01:30:36.1244545Z 32 RETURN_VALUE 2022-11-23T01:30:36.1244605Z 2022-11-23T01:30:36.1244610Z 2022-11-23T01:30:36.1245024Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:772 2022-11-23T01:30:36.1245237Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.1245479Z [2022-11-23 01:26:40,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.1245760Z [2022-11-23 01:26:40,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.1246042Z [2022-11-23 01:26:40,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.1246299Z [2022-11-23 01:26:40,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1246608Z [2022-11-23 01:26:40,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:30:36.1246869Z [2022-11-23 01:26:40,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1247161Z [2022-11-23 01:26:40,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1247492Z [2022-11-23 01:26:40,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:30:36.1247784Z [2022-11-23 01:26:40,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1248111Z [2022-11-23 01:26:40,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1248480Z [2022-11-23 01:26:40,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:30:36.1248793Z [2022-11-23 01:26:40,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1249148Z [2022-11-23 01:26:40,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1249538Z [2022-11-23 01:26:40,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:30:36.1249880Z [2022-11-23 01:26:40,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1250126Z [2022-11-23 01:26:40,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1250507Z [2022-11-23 01:26:40,373] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1250750Z [2022-11-23 01:26:40,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1250985Z [2022-11-23 01:26:40,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1251243Z [2022-11-23 01:26:40,374] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1251527Z [2022-11-23 01:26:40,377] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1251720Z [2022-11-23 01:26:40,377] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1251852Z __compiled_fn_334 .2821 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1251940Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1252018Z call_method, sum_1, sum, (ex_0_,), {} 2022-11-23T01:30:36.1252104Z call_method, max_1, max, (ex_0_,), {} 2022-11-23T01:30:36.1252188Z call_method, min_1, min, (ex_0_,), {} 2022-11-23T01:30:36.1252284Z call_method, argmax, argmax, (ex_0_,), {} 2022-11-23T01:30:36.1252378Z call_method, argmin, argmin, (ex_0_,), {} 2022-11-23T01:30:36.1252507Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {} 2022-11-23T01:30:36.1252512Z 2022-11-23T01:30:36.1252867Z [2022-11-23 01:26:40,378] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1252950Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1253041Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1253126Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1253218Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1253301Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1253387Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1253463Z 12 RETURN_VALUE 2022-11-23T01:30:36.1253468Z 2022-11-23T01:30:36.1253529Z 2022-11-23T01:30:36.1253837Z [2022-11-23 01:26:40,378] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1253946Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_334) 2022-11-23T01:30:36.1254036Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1254126Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1254201Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1254289Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1254390Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1254478Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1254566Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1254641Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1254739Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1254827Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1254900Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1254996Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1255070Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1255144Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1255244Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1255331Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.1255407Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1255504Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1255591Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.1255662Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.1255738Z 42 BUILD_TUPLE 5 2022-11-23T01:30:36.1255810Z 44 RETURN_VALUE 2022-11-23T01:30:36.1255815Z 2022-11-23T01:30:36.1255875Z 2022-11-23T01:30:36.1256057Z [2022-11-23 01:26:40,379] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1256127Z - 2022-11-23T01:30:36.1256244Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1256306Z { 2022-11-23T01:30:36.1256434Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1256621Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1256743Z 'obj_weakref': None 2022-11-23T01:30:36.1256996Z 'guarded_class': 2022-11-23T01:30:36.1257062Z } 2022-11-23T01:30:36.1257124Z 2022-11-23T01:30:36.1257192Z - 2022-11-23T01:30:36.1257303Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1257366Z { 2022-11-23T01:30:36.1257509Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1257616Z 'code': None, 2022-11-23T01:30:36.1257828Z 'obj_weakref': 2022-11-23T01:30:36.1258076Z 'guarded_class': 2022-11-23T01:30:36.1258139Z } 2022-11-23T01:30:36.1258190Z 2022-11-23T01:30:36.1258257Z - 2022-11-23T01:30:36.1258387Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1258480Z { 2022-11-23T01:30:36.1258612Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1258781Z 'code': ['___check_obj_id(model, 140534623213248)'], 2022-11-23T01:30:36.1258898Z 'obj_weakref': None 2022-11-23T01:30:36.1259115Z 'guarded_class': 2022-11-23T01:30:36.1259178Z } 2022-11-23T01:30:36.1259241Z 2022-11-23T01:30:36.1259308Z - 2022-11-23T01:30:36.1259426Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1259489Z { 2022-11-23T01:30:36.1259610Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1259827Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1259943Z 'obj_weakref': None 2022-11-23T01:30:36.1260165Z 'guarded_class': 2022-11-23T01:30:36.1260230Z } 2022-11-23T01:30:36.1260291Z 2022-11-23T01:30:36.1260555Z [2022-11-23 01:26:40,385] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327 2022-11-23T01:30:36.1260926Z [2022-11-23 01:26:41,813] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmjpa6ag4mlrfd32b3wdhcshyijw7e6hsnnbpfcodbiseaxyfouj.py 2022-11-23T01:30:36.1261178Z [2022-11-23 01:26:41,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327 2022-11-23T01:30:36.1261196Z 2022-11-23T01:30:36.1261276Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1261344Z import torch 2022-11-23T01:30:36.1261412Z import random 2022-11-23T01:30:36.1261528Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1261648Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1261653Z 2022-11-23T01:30:36.1261728Z aten = torch.ops.aten 2022-11-23T01:30:36.1261864Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1261943Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1261948Z 2022-11-23T01:30:36.1261967Z 2022-11-23T01:30:36.1262086Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1262290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1262409Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1262509Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1262604Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.1262697Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.1262791Z long* __restrict__ out_ptr3, 2022-11-23T01:30:36.1262871Z long* __restrict__ out_ptr4) 2022-11-23T01:30:36.1262931Z { 2022-11-23T01:30:36.1262992Z { 2022-11-23T01:30:36.1263056Z { 2022-11-23T01:30:36.1263135Z float tmp1 = 0; 2022-11-23T01:30:36.1263370Z float tmp2 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.1263523Z float tmp3 = std::numeric_limits::infinity(); 2022-11-23T01:30:36.1263630Z struct IndexValue_7 {size_t index; float value;}; 2022-11-23T01:30:36.1263851Z IndexValue_7 tmp4{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:36.1263988Z #pragma omp declare reduction(argmax : struct IndexValue_7 :\ 2022-11-23T01:30:36.1264136Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.1264280Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.1264508Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:36.1264624Z struct IndexValue_8 {size_t index; float value;}; 2022-11-23T01:30:36.1264756Z IndexValue_8 tmp5{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:36.1264920Z #pragma omp declare reduction(argmin : struct IndexValue_8 :\ 2022-11-23T01:30:36.1265056Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.1265201Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.1265341Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:36.1265424Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:36.1265489Z { 2022-11-23T01:30:36.1265555Z { 2022-11-23T01:30:36.1265650Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1265716Z tmp1 += tmp0; 2022-11-23T01:30:36.1265817Z tmp2 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.1265912Z tmp3 = std::min(tmp3, tmp0); 2022-11-23T01:30:36.1266009Z if (tmp4.value < tmp0) { 2022-11-23T01:30:36.1266121Z tmp4.index = i0; tmp4.value = tmp0; 2022-11-23T01:30:36.1266189Z } 2022-11-23T01:30:36.1266281Z if (tmp5.value > tmp0) { 2022-11-23T01:30:36.1266373Z tmp5.index = i0; tmp5.value = tmp0; 2022-11-23T01:30:36.1266439Z } 2022-11-23T01:30:36.1266504Z } 2022-11-23T01:30:36.1266567Z } 2022-11-23T01:30:36.1266648Z out_ptr0[0] = tmp1; 2022-11-23T01:30:36.1266724Z out_ptr1[0] = tmp2; 2022-11-23T01:30:36.1266799Z out_ptr2[0] = tmp3; 2022-11-23T01:30:36.1266871Z out_ptr3[0] = tmp4.index; 2022-11-23T01:30:36.1266953Z out_ptr4[0] = tmp5.index; 2022-11-23T01:30:36.1267015Z } 2022-11-23T01:30:36.1267076Z } 2022-11-23T01:30:36.1267135Z } 2022-11-23T01:30:36.1267212Z ''') 2022-11-23T01:30:36.1267217Z 2022-11-23T01:30:36.1267221Z 2022-11-23T01:30:36.1267313Z async_compile.wait(globals()) 2022-11-23T01:30:36.1267375Z del async_compile 2022-11-23T01:30:36.1267391Z 2022-11-23T01:30:36.1267448Z def call(args): 2022-11-23T01:30:36.1267517Z arg0_1, = args 2022-11-23T01:30:36.1267592Z args.clear() 2022-11-23T01:30:36.1267778Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1267956Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1268129Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1268304Z buf3 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1268466Z buf4 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1268704Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:36.1268772Z del arg0_1 2022-11-23T01:30:36.1268868Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:36.1268875Z 2022-11-23T01:30:36.1268879Z 2022-11-23T01:30:36.1268955Z if __name__ == "__main__": 2022-11-23T01:30:36.1269069Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1269221Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1269410Z arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1269504Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1269509Z 2022-11-23T01:30:36.1269575Z ok (1.452s) 2022-11-23T01:30:36.1269889Z test_reduction2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:41,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1270206Z [2022-11-23 01:26:41,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1270424Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1270718Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1270999Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1271319Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1271666Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1271989Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1272351Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1272445Z 779 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1272537Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.1272625Z 4 CALL_METHOD 0 2022-11-23T01:30:36.1272713Z 6 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1272805Z 8 LOAD_METHOD 1 (max) 2022-11-23T01:30:36.1272891Z 10 CALL_METHOD 0 2022-11-23T01:30:36.1272977Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1273054Z 14 LOAD_METHOD 2 (min) 2022-11-23T01:30:36.1273137Z 16 CALL_METHOD 0 2022-11-23T01:30:36.1273225Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1273318Z 20 LOAD_METHOD 3 (argmin) 2022-11-23T01:30:36.1273403Z 22 CALL_METHOD 0 2022-11-23T01:30:36.1273488Z 24 BUILD_TUPLE 4 2022-11-23T01:30:36.1273569Z 26 RETURN_VALUE 2022-11-23T01:30:36.1273617Z 2022-11-23T01:30:36.1273622Z 2022-11-23T01:30:36.1273940Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:779 2022-11-23T01:30:36.1274148Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.1274391Z [2022-11-23 01:26:41,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.1274668Z [2022-11-23 01:26:41,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.1274904Z [2022-11-23 01:26:41,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.1275171Z [2022-11-23 01:26:41,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1275476Z [2022-11-23 01:26:41,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:30:36.1275770Z [2022-11-23 01:26:41,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1276053Z [2022-11-23 01:26:41,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1276387Z [2022-11-23 01:26:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:30:36.1276677Z [2022-11-23 01:26:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1277004Z [2022-11-23 01:26:41,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1277399Z [2022-11-23 01:26:41,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:30:36.1277729Z [2022-11-23 01:26:41,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1277975Z [2022-11-23 01:26:41,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1278354Z [2022-11-23 01:26:41,822] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1278598Z [2022-11-23 01:26:41,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1278830Z [2022-11-23 01:26:41,822] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1279086Z [2022-11-23 01:26:41,824] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1279324Z [2022-11-23 01:26:41,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1279511Z [2022-11-23 01:26:41,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1279645Z __compiled_fn_335 .2827 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1279736Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1279825Z call_method, sum_1, sum, (ex_0_,), {} 2022-11-23T01:30:36.1279911Z call_method, max_1, max, (ex_0_,), {} 2022-11-23T01:30:36.1280075Z call_method, min_1, min, (ex_0_,), {} 2022-11-23T01:30:36.1280161Z call_method, argmin, argmin, (ex_0_,), {} 2022-11-23T01:30:36.1280280Z output, output, output, ((sum_1, max_1, min_1, argmin),), {} 2022-11-23T01:30:36.1280285Z 2022-11-23T01:30:36.1280616Z [2022-11-23 01:26:41,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1280712Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1280805Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1280891Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1280983Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1281068Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1281143Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1281218Z 12 RETURN_VALUE 2022-11-23T01:30:36.1281224Z 2022-11-23T01:30:36.1281284Z 2022-11-23T01:30:36.1281606Z [2022-11-23 01:26:41,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1281715Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_335) 2022-11-23T01:30:36.1281804Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1281896Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1281972Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1282080Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1282187Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1282288Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1282381Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1282459Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1282558Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1282646Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1282708Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1282805Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1282891Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1282965Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1283064Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1283180Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.1283254Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1283330Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.1283406Z 38 RETURN_VALUE 2022-11-23T01:30:36.1283411Z 2022-11-23T01:30:36.1283471Z 2022-11-23T01:30:36.1283654Z [2022-11-23 01:26:41,828] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1283724Z - 2022-11-23T01:30:36.1283842Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1283907Z { 2022-11-23T01:30:36.1284035Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1284221Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1284340Z 'obj_weakref': None 2022-11-23T01:30:36.1284566Z 'guarded_class': 2022-11-23T01:30:36.1284631Z } 2022-11-23T01:30:36.1284698Z 2022-11-23T01:30:36.1285043Z - 2022-11-23T01:30:36.1285205Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1285271Z { 2022-11-23T01:30:36.1285725Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1285849Z 'code': None, 2022-11-23T01:30:36.1286063Z 'obj_weakref': 2022-11-23T01:30:36.1286316Z 'guarded_class': 2022-11-23T01:30:36.1286381Z } 2022-11-23T01:30:36.1286444Z 2022-11-23T01:30:36.1286500Z - 2022-11-23T01:30:36.1291059Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1291122Z { 2022-11-23T01:30:36.1291287Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1291462Z 'code': ['___check_obj_id(model, 140534431032240)'], 2022-11-23T01:30:36.1291589Z 'obj_weakref': None 2022-11-23T01:30:36.1291827Z 'guarded_class': 2022-11-23T01:30:36.1291896Z } 2022-11-23T01:30:36.1291963Z 2022-11-23T01:30:36.1292019Z - 2022-11-23T01:30:36.1292142Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1292208Z { 2022-11-23T01:30:36.1292345Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1292562Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1292680Z 'obj_weakref': None 2022-11-23T01:30:36.1292903Z 'guarded_class': 2022-11-23T01:30:36.1292968Z } 2022-11-23T01:30:36.1293019Z 2022-11-23T01:30:36.1293286Z [2022-11-23 01:26:41,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328 2022-11-23T01:30:36.1293666Z [2022-11-23 01:26:43,267] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gf/cgfkb2vnmqdyfwm5jyqmj2ela6ayvbdnnxxtjyiwftpf2xxgyotu.py 2022-11-23T01:30:36.1294030Z [2022-11-23 01:26:43,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328 2022-11-23T01:30:36.1294037Z 2022-11-23T01:30:36.1294135Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1294205Z import torch 2022-11-23T01:30:36.1294278Z import random 2022-11-23T01:30:36.1294379Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1294501Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1294506Z 2022-11-23T01:30:36.1294585Z aten = torch.ops.aten 2022-11-23T01:30:36.1294720Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1294813Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1294818Z 2022-11-23T01:30:36.1294823Z 2022-11-23T01:30:36.1294958Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1295211Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1295332Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1295431Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1295514Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.1295608Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.1295703Z long* __restrict__ out_ptr3) 2022-11-23T01:30:36.1295768Z { 2022-11-23T01:30:36.1295832Z { 2022-11-23T01:30:36.1295895Z { 2022-11-23T01:30:36.1295959Z float tmp1 = 0; 2022-11-23T01:30:36.1296190Z float tmp2 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.1296316Z float tmp3 = std::numeric_limits::infinity(); 2022-11-23T01:30:36.1296432Z struct IndexValue_9 {size_t index; float value;}; 2022-11-23T01:30:36.1296564Z IndexValue_9 tmp4{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:36.1296705Z #pragma omp declare reduction(argmin : struct IndexValue_9 :\ 2022-11-23T01:30:36.1296855Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.1297000Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.1297142Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:36.1297234Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1297299Z { 2022-11-23T01:30:36.1297475Z #pragma omp for reduction(+:tmp1) reduction(max:tmp2) reduction(min:tmp3) reduction(argmin:tmp4) 2022-11-23T01:30:36.1297566Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.1297632Z { 2022-11-23T01:30:36.1297700Z { 2022-11-23T01:30:36.1297794Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1297865Z tmp1 += tmp0; 2022-11-23T01:30:36.1297967Z tmp2 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.1298067Z tmp3 = std::min(tmp3, tmp0); 2022-11-23T01:30:36.1298162Z if (tmp4.value > tmp0) { 2022-11-23T01:30:36.1298274Z tmp4.index = i0; tmp4.value = tmp0; 2022-11-23T01:30:36.1298343Z } 2022-11-23T01:30:36.1298409Z } 2022-11-23T01:30:36.1298461Z } 2022-11-23T01:30:36.1298525Z } 2022-11-23T01:30:36.1298604Z out_ptr0[0] = tmp1; 2022-11-23T01:30:36.1298682Z out_ptr1[0] = tmp2; 2022-11-23T01:30:36.1298758Z out_ptr2[0] = tmp3; 2022-11-23T01:30:36.1298842Z out_ptr3[0] = tmp4.index; 2022-11-23T01:30:36.1298907Z } 2022-11-23T01:30:36.1298956Z } 2022-11-23T01:30:36.1299016Z } 2022-11-23T01:30:36.1299095Z ''') 2022-11-23T01:30:36.1299103Z 2022-11-23T01:30:36.1299107Z 2022-11-23T01:30:36.1299196Z async_compile.wait(globals()) 2022-11-23T01:30:36.1299270Z del async_compile 2022-11-23T01:30:36.1299275Z 2022-11-23T01:30:36.1299377Z def call(args): 2022-11-23T01:30:36.1299449Z arg0_1, = args 2022-11-23T01:30:36.1299507Z args.clear() 2022-11-23T01:30:36.1299697Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1299877Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1300052Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1300231Z buf3 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1300444Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.1300513Z del arg0_1 2022-11-23T01:30:36.1300601Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:36.1300606Z 2022-11-23T01:30:36.1300641Z 2022-11-23T01:30:36.1300705Z if __name__ == "__main__": 2022-11-23T01:30:36.1300818Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1300941Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1301136Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1301243Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1301248Z 2022-11-23T01:30:36.1301318Z ok (1.454s) 2022-11-23T01:30:36.1301629Z test_reduction3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1301944Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1302160Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1302399Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1302682Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1303000Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1303345Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1303667Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1304043Z [2022-11-23 01:26:43,272] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1304139Z 786 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1304234Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.1304326Z 4 CALL_METHOD 0 2022-11-23T01:30:36.1304402Z 6 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1304493Z 8 LOAD_METHOD 1 (max) 2022-11-23T01:30:36.1304578Z 10 CALL_METHOD 0 2022-11-23T01:30:36.1304667Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1304755Z 14 LOAD_METHOD 2 (min) 2022-11-23T01:30:36.1304839Z 16 CALL_METHOD 0 2022-11-23T01:30:36.1304924Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1305004Z 20 LOAD_METHOD 3 (argmax) 2022-11-23T01:30:36.1305089Z 22 CALL_METHOD 0 2022-11-23T01:30:36.1305175Z 24 BUILD_TUPLE 4 2022-11-23T01:30:36.1305251Z 26 RETURN_VALUE 2022-11-23T01:30:36.1305315Z 2022-11-23T01:30:36.1305320Z 2022-11-23T01:30:36.1305659Z [2022-11-23 01:26:43,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:786 2022-11-23T01:30:36.1305873Z [2022-11-23 01:26:43,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.1306115Z [2022-11-23 01:26:43,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.1306383Z [2022-11-23 01:26:43,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.1306617Z [2022-11-23 01:26:43,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.1306886Z [2022-11-23 01:26:43,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1307193Z [2022-11-23 01:26:43,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:30:36.1307495Z [2022-11-23 01:26:43,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1307790Z [2022-11-23 01:26:43,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1308123Z [2022-11-23 01:26:43,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:30:36.1308414Z [2022-11-23 01:26:43,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1308741Z [2022-11-23 01:26:43,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1309108Z [2022-11-23 01:26:43,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:30:36.1309436Z [2022-11-23 01:26:43,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1309668Z [2022-11-23 01:26:43,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1310052Z [2022-11-23 01:26:43,277] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1310298Z [2022-11-23 01:26:43,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1310532Z [2022-11-23 01:26:43,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1310785Z [2022-11-23 01:26:43,278] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1311038Z [2022-11-23 01:26:43,281] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1311228Z [2022-11-23 01:26:43,281] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1311362Z __compiled_fn_336 .2833 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1311453Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1311530Z call_method, sum_1, sum, (ex_0_,), {} 2022-11-23T01:30:36.1311617Z call_method, max_1, max, (ex_0_,), {} 2022-11-23T01:30:36.1311701Z call_method, min_1, min, (ex_0_,), {} 2022-11-23T01:30:36.1311798Z call_method, argmax, argmax, (ex_0_,), {} 2022-11-23T01:30:36.1311918Z output, output, output, ((sum_1, max_1, min_1, argmax),), {} 2022-11-23T01:30:36.1311924Z 2022-11-23T01:30:36.1312246Z [2022-11-23 01:26:43,282] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1312342Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1312488Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1312564Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1312657Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1312741Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1312829Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1312909Z 12 RETURN_VALUE 2022-11-23T01:30:36.1312914Z 2022-11-23T01:30:36.1312975Z 2022-11-23T01:30:36.1313297Z [2022-11-23 01:26:43,282] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1313392Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_336) 2022-11-23T01:30:36.1313482Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1313610Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1313689Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1313777Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1313882Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1313983Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1314070Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1314133Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1314234Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1314322Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1314398Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1314496Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1314583Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1314659Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1314744Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1314834Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.1314908Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1314995Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.1315071Z 38 RETURN_VALUE 2022-11-23T01:30:36.1315076Z 2022-11-23T01:30:36.1315140Z 2022-11-23T01:30:36.1315323Z [2022-11-23 01:26:43,283] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1315380Z - 2022-11-23T01:30:36.1315501Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1315568Z { 2022-11-23T01:30:36.1315708Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1315893Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1316011Z 'obj_weakref': None 2022-11-23T01:30:36.1316237Z 'guarded_class': 2022-11-23T01:30:36.1316288Z } 2022-11-23T01:30:36.1316352Z 2022-11-23T01:30:36.1316427Z - 2022-11-23T01:30:36.1316550Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1316615Z { 2022-11-23T01:30:36.1316760Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1316866Z 'code': None, 2022-11-23T01:30:36.1317066Z 'obj_weakref': 2022-11-23T01:30:36.1317318Z 'guarded_class': 2022-11-23T01:30:36.1317382Z } 2022-11-23T01:30:36.1317447Z 2022-11-23T01:30:36.1317518Z - 2022-11-23T01:30:36.1317648Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1317711Z { 2022-11-23T01:30:36.1317831Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1318001Z 'code': ['___check_obj_id(model, 140534429640896)'], 2022-11-23T01:30:36.1318121Z 'obj_weakref': None 2022-11-23T01:30:36.1318360Z 'guarded_class': 2022-11-23T01:30:36.1318424Z } 2022-11-23T01:30:36.1318516Z 2022-11-23T01:30:36.1318590Z - 2022-11-23T01:30:36.1318699Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1318764Z { 2022-11-23T01:30:36.1318900Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1319116Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1319257Z 'obj_weakref': None 2022-11-23T01:30:36.1319478Z 'guarded_class': 2022-11-23T01:30:36.1319543Z } 2022-11-23T01:30:36.1319593Z 2022-11-23T01:30:36.1319852Z [2022-11-23 01:26:43,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329 2022-11-23T01:30:36.1320318Z [2022-11-23 01:26:44,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qz/cqzjqiw7xrlccdxkibjkbydawwicnxnrkuktk2va3xztzvjdknhl.py 2022-11-23T01:30:36.1320642Z [2022-11-23 01:26:44,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329 2022-11-23T01:30:36.1320648Z 2022-11-23T01:30:36.1320744Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1320814Z import torch 2022-11-23T01:30:36.1320885Z import random 2022-11-23T01:30:36.1321003Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1321112Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1321131Z 2022-11-23T01:30:36.1321196Z aten = torch.ops.aten 2022-11-23T01:30:36.1321330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1321426Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1321431Z 2022-11-23T01:30:36.1321435Z 2022-11-23T01:30:36.1321570Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1321776Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1321902Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1322006Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1322090Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.1322187Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.1322284Z long* __restrict__ out_ptr3) 2022-11-23T01:30:36.1322346Z { 2022-11-23T01:30:36.1322410Z { 2022-11-23T01:30:36.1322474Z { 2022-11-23T01:30:36.1322550Z float tmp1 = 0; 2022-11-23T01:30:36.1322752Z float tmp2 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.1322876Z float tmp3 = std::numeric_limits::infinity(); 2022-11-23T01:30:36.1322993Z struct IndexValue_10 {size_t index; float value;}; 2022-11-23T01:30:36.1323213Z IndexValue_10 tmp4{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:36.1323353Z #pragma omp declare reduction(argmax : struct IndexValue_10 :\ 2022-11-23T01:30:36.1323501Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.1323646Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.1323878Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:36.1323983Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1324034Z { 2022-11-23T01:30:36.1324207Z #pragma omp for reduction(+:tmp1) reduction(max:tmp2) reduction(min:tmp3) reduction(argmax:tmp4) 2022-11-23T01:30:36.1324295Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.1324360Z { 2022-11-23T01:30:36.1324427Z { 2022-11-23T01:30:36.1324521Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1324607Z tmp1 += tmp0; 2022-11-23T01:30:36.1324695Z tmp2 = std::max(tmp2, tmp0); 2022-11-23T01:30:36.1324964Z tmp3 = std::min(tmp3, tmp0); 2022-11-23T01:30:36.1325113Z if (tmp4.value < tmp0) { 2022-11-23T01:30:36.1325228Z tmp4.index = i0; tmp4.value = tmp0; 2022-11-23T01:30:36.1325298Z } 2022-11-23T01:30:36.1325367Z } 2022-11-23T01:30:36.1325434Z } 2022-11-23T01:30:36.1325484Z } 2022-11-23T01:30:36.1325564Z out_ptr0[0] = tmp1; 2022-11-23T01:30:36.1325645Z out_ptr1[0] = tmp2; 2022-11-23T01:30:36.1325721Z out_ptr2[0] = tmp3; 2022-11-23T01:30:36.1325807Z out_ptr3[0] = tmp4.index; 2022-11-23T01:30:36.1325872Z } 2022-11-23T01:30:36.1325935Z } 2022-11-23T01:30:36.1325982Z } 2022-11-23T01:30:36.1326068Z ''') 2022-11-23T01:30:36.1326074Z 2022-11-23T01:30:36.1326078Z 2022-11-23T01:30:36.1326203Z async_compile.wait(globals()) 2022-11-23T01:30:36.1326276Z del async_compile 2022-11-23T01:30:36.1326280Z 2022-11-23T01:30:36.1326351Z def call(args): 2022-11-23T01:30:36.1326421Z arg0_1, = args 2022-11-23T01:30:36.1326493Z args.clear() 2022-11-23T01:30:36.1326715Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1326983Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1327161Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1327337Z buf3 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1327549Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.1327618Z del arg0_1 2022-11-23T01:30:36.1327705Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:36.1327711Z 2022-11-23T01:30:36.1327715Z 2022-11-23T01:30:36.1327795Z if __name__ == "__main__": 2022-11-23T01:30:36.1327895Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1328018Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1328212Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1328320Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1328325Z 2022-11-23T01:30:36.1328391Z ok (1.452s) 2022-11-23T01:30:36.1328624Z test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.001s) 2022-11-23T01:30:36.1328960Z test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1329279Z [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1329495Z [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1329734Z [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1330015Z [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1330333Z [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1330683Z [2022-11-23 01:26:44,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1331004Z [2022-11-23 01:26:44,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1331380Z [2022-11-23 01:26:44,726] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1331477Z 3040 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1331637Z 2 LOAD_METHOD 1 (reflection_pad2d_backward) 2022-11-23T01:30:36.1331740Z 4 LOAD_FAST 0 (grad_output) 2022-11-23T01:30:36.1331819Z 6 LOAD_FAST 1 (x) 2022-11-23T01:30:36.1331916Z 8 LOAD_DEREF 0 (padding) 2022-11-23T01:30:36.1332004Z 10 CALL_METHOD 3 2022-11-23T01:30:36.1332082Z 12 RETURN_VALUE 2022-11-23T01:30:36.1332143Z 2022-11-23T01:30:36.1332149Z 2022-11-23T01:30:36.1332462Z [2022-11-23 01:26:44,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040 2022-11-23T01:30:36.1332677Z [2022-11-23 01:26:44,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1333045Z [2022-11-23 01:26:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable()] 2022-11-23T01:30:36.1333346Z [2022-11-23 01:26:44,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)] 2022-11-23T01:30:36.1333644Z [2022-11-23 01:26:44,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()] 2022-11-23T01:30:36.1333998Z [2022-11-23 01:26:44,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1334373Z [2022-11-23 01:26:44,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1334620Z [2022-11-23 01:26:44,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1335006Z [2022-11-23 01:26:44,734] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1335254Z [2022-11-23 01:26:44,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1335488Z [2022-11-23 01:26:44,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1335740Z [2022-11-23 01:26:44,735] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1335991Z [2022-11-23 01:26:44,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1336179Z [2022-11-23 01:26:44,738] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1336299Z __compiled_fn_337 .2839 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1336391Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1336477Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1336652Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {} 2022-11-23T01:30:36.1336779Z output, output, output, ((reflection_pad2d_backward,),), {} 2022-11-23T01:30:36.1336784Z 2022-11-23T01:30:36.1337107Z [2022-11-23 01:26:44,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1337201Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1337290Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1337404Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1337539Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1337668Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1337790Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1337911Z 12 RETURN_VALUE 2022-11-23T01:30:36.1337917Z 2022-11-23T01:30:36.1337979Z 2022-11-23T01:30:36.1338346Z [2022-11-23 01:26:44,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1338455Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_337) 2022-11-23T01:30:36.1338533Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1338623Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1338701Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1338790Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1338877Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1338952Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1339039Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1339129Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1339293Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.1339396Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.1339487Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.1339583Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.1339685Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1339774Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1339839Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.1339931Z 32 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1340028Z 34 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.1340116Z 36 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1340192Z 38 BINARY_SUBSCR 2022-11-23T01:30:36.1340293Z 40 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.1340385Z 42 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1340469Z 44 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.1340556Z 46 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1340634Z 48 BINARY_SUBSCR 2022-11-23T01:30:36.1340734Z 50 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.1340810Z 52 RETURN_VALUE 2022-11-23T01:30:36.1340814Z 2022-11-23T01:30:36.1340877Z 2022-11-23T01:30:36.1341061Z [2022-11-23 01:26:44,740] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1341132Z - 2022-11-23T01:30:36.1341236Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1341300Z { 2022-11-23T01:30:36.1341441Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1341625Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1341744Z 'obj_weakref': None 2022-11-23T01:30:36.1341971Z 'guarded_class': 2022-11-23T01:30:36.1342040Z } 2022-11-23T01:30:36.1342090Z 2022-11-23T01:30:36.1342161Z - 2022-11-23T01:30:36.1342288Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1342352Z { 2022-11-23T01:30:36.1342496Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1342603Z 'code': None, 2022-11-23T01:30:36.1342813Z 'obj_weakref': 2022-11-23T01:30:36.1343051Z 'guarded_class': 2022-11-23T01:30:36.1343118Z } 2022-11-23T01:30:36.1343184Z 2022-11-23T01:30:36.1343255Z - 2022-11-23T01:30:36.1343377Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1343441Z { 2022-11-23T01:30:36.1343584Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1343676Z 'code': None, 2022-11-23T01:30:36.1343889Z 'obj_weakref': 2022-11-23T01:30:36.1344175Z 'guarded_class': 2022-11-23T01:30:36.1344241Z } 2022-11-23T01:30:36.1344304Z 2022-11-23T01:30:36.1344374Z - 2022-11-23T01:30:36.1344505Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1344556Z { 2022-11-23T01:30:36.1344690Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1344858Z 'code': ['___check_obj_id(model, 140534626479136)'], 2022-11-23T01:30:36.1344979Z 'obj_weakref': None 2022-11-23T01:30:36.1345208Z 'guarded_class': 2022-11-23T01:30:36.1345274Z } 2022-11-23T01:30:36.1345336Z 2022-11-23T01:30:36.1345391Z - 2022-11-23T01:30:36.1345513Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1345608Z { 2022-11-23T01:30:36.1345746Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1345965Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1346083Z 'obj_weakref': None 2022-11-23T01:30:36.1346306Z 'guarded_class': 2022-11-23T01:30:36.1346357Z } 2022-11-23T01:30:36.1346422Z 2022-11-23T01:30:36.1346490Z - 2022-11-23T01:30:36.1346667Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.1346730Z { 2022-11-23T01:30:36.1346896Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.1347629Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'], 2022-11-23T01:30:36.1347751Z 'obj_weakref': None 2022-11-23T01:30:36.1347956Z 'guarded_class': 2022-11-23T01:30:36.1348019Z } 2022-11-23T01:30:36.1348082Z 2022-11-23T01:30:36.1348150Z - 2022-11-23T01:30:36.1348334Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.1348401Z { 2022-11-23T01:30:36.1348544Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1348812Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 0'], 2022-11-23T01:30:36.1348933Z 'obj_weakref': None 2022-11-23T01:30:36.1349157Z 'guarded_class': 2022-11-23T01:30:36.1349224Z } 2022-11-23T01:30:36.1349288Z 2022-11-23T01:30:36.1349357Z - 2022-11-23T01:30:36.1349540Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1349603Z { 2022-11-23T01:30:36.1349732Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1350013Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 0'], 2022-11-23T01:30:36.1350131Z 'obj_weakref': None 2022-11-23T01:30:36.1350351Z 'guarded_class': 2022-11-23T01:30:36.1350416Z } 2022-11-23T01:30:36.1350479Z 2022-11-23T01:30:36.1350548Z - 2022-11-23T01:30:36.1350720Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.1350783Z { 2022-11-23T01:30:36.1350955Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1351237Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 0'], 2022-11-23T01:30:36.1351355Z 'obj_weakref': None 2022-11-23T01:30:36.1351575Z 'guarded_class': 2022-11-23T01:30:36.1351639Z } 2022-11-23T01:30:36.1351688Z 2022-11-23T01:30:36.1351756Z - 2022-11-23T01:30:36.1351940Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.1352005Z { 2022-11-23T01:30:36.1352146Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1352425Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 0'], 2022-11-23T01:30:36.1352576Z 'obj_weakref': None 2022-11-23T01:30:36.1352797Z 'guarded_class': 2022-11-23T01:30:36.1352847Z } 2022-11-23T01:30:36.1352913Z 2022-11-23T01:30:36.1352982Z - 2022-11-23T01:30:36.1353115Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1353178Z { 2022-11-23T01:30:36.1353296Z 'guard_types': None, 2022-11-23T01:30:36.1353390Z 'code': None, 2022-11-23T01:30:36.1353507Z 'obj_weakref': None 2022-11-23T01:30:36.1353628Z 'guarded_class': None 2022-11-23T01:30:36.1353692Z } 2022-11-23T01:30:36.1353756Z 2022-11-23T01:30:36.1354017Z [2022-11-23 01:26:44,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330 2022-11-23T01:30:36.1354381Z [2022-11-23 01:26:46,160] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jm/cjm7nbpc72rljdl7n3rg6kkotnlwrih2v2d5s4wpccxbgdm5vt4e.py 2022-11-23T01:30:36.1354650Z [2022-11-23 01:26:46,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330 2022-11-23T01:30:36.1354873Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1355190Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1355408Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1355660Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1355935Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1356258Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1356607Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1356929Z [2022-11-23 01:26:46,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1357305Z [2022-11-23 01:26:46,165] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1357401Z 3040 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1357509Z 2 LOAD_METHOD 1 (reflection_pad2d_backward) 2022-11-23T01:30:36.1357610Z 4 LOAD_FAST 0 (grad_output) 2022-11-23T01:30:36.1357704Z 6 LOAD_FAST 1 (x) 2022-11-23T01:30:36.1357802Z 8 LOAD_DEREF 0 (padding) 2022-11-23T01:30:36.1357919Z 10 CALL_METHOD 3 2022-11-23T01:30:36.1357998Z 12 RETURN_VALUE 2022-11-23T01:30:36.1358060Z 2022-11-23T01:30:36.1358071Z 2022-11-23T01:30:36.1358385Z [2022-11-23 01:26:46,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040 2022-11-23T01:30:36.1358588Z [2022-11-23 01:26:46,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1358931Z [2022-11-23 01:26:46,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable()] 2022-11-23T01:30:36.1359231Z [2022-11-23 01:26:46,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)] 2022-11-23T01:30:36.1359574Z [2022-11-23 01:26:46,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()] 2022-11-23T01:30:36.1359933Z [2022-11-23 01:26:46,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1360398Z [2022-11-23 01:26:46,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1360648Z [2022-11-23 01:26:46,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1361031Z [2022-11-23 01:26:46,172] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1361277Z [2022-11-23 01:26:46,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1361520Z [2022-11-23 01:26:46,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1361764Z [2022-11-23 01:26:46,174] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1362013Z [2022-11-23 01:26:46,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1362204Z [2022-11-23 01:26:46,177] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1362339Z __compiled_fn_338 .2845 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1362431Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1362519Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1362693Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {} 2022-11-23T01:30:36.1362820Z output, output, output, ((reflection_pad2d_backward,),), {} 2022-11-23T01:30:36.1362827Z 2022-11-23T01:30:36.1363156Z [2022-11-23 01:26:46,177] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1363236Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1363328Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1363418Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1363512Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1363599Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1363688Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1363763Z 12 RETURN_VALUE 2022-11-23T01:30:36.1363768Z 2022-11-23T01:30:36.1363815Z 2022-11-23T01:30:36.1364137Z [2022-11-23 01:26:46,177] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1364249Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_338) 2022-11-23T01:30:36.1364337Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1364460Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1364539Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1364627Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1364713Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1364872Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1364962Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1365067Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1365197Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.1365295Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.1365384Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.1365480Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.1365631Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1365721Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1365800Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.1365894Z 32 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1365994Z 34 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.1366083Z 36 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1366160Z 38 BINARY_SUBSCR 2022-11-23T01:30:36.1366246Z 40 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.1366338Z 42 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1366434Z 44 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.1366525Z 46 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1366601Z 48 BINARY_SUBSCR 2022-11-23T01:30:36.1366702Z 50 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.1366780Z 52 RETURN_VALUE 2022-11-23T01:30:36.1366785Z 2022-11-23T01:30:36.1366847Z 2022-11-23T01:30:36.1367020Z [2022-11-23 01:26:46,179] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1367095Z - 2022-11-23T01:30:36.1367217Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1367282Z { 2022-11-23T01:30:36.1367427Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1367614Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1367735Z 'obj_weakref': None 2022-11-23T01:30:36.1367949Z 'guarded_class': 2022-11-23T01:30:36.1368014Z } 2022-11-23T01:30:36.1368078Z 2022-11-23T01:30:36.1368146Z - 2022-11-23T01:30:36.1368270Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1368333Z { 2022-11-23T01:30:36.1368474Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1368570Z 'code': None, 2022-11-23T01:30:36.1368782Z 'obj_weakref': 2022-11-23T01:30:36.1369036Z 'guarded_class': 2022-11-23T01:30:36.1369102Z } 2022-11-23T01:30:36.1369167Z 2022-11-23T01:30:36.1369236Z - 2022-11-23T01:30:36.1369359Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1369409Z { 2022-11-23T01:30:36.1369550Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1369656Z 'code': None, 2022-11-23T01:30:36.1369868Z 'obj_weakref': 2022-11-23T01:30:36.1370117Z 'guarded_class': 2022-11-23T01:30:36.1370181Z } 2022-11-23T01:30:36.1370246Z 2022-11-23T01:30:36.1370301Z - 2022-11-23T01:30:36.1370431Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1370496Z { 2022-11-23T01:30:36.1370668Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1370841Z 'code': ['___check_obj_id(model, 140534620128160)'], 2022-11-23T01:30:36.1370960Z 'obj_weakref': None 2022-11-23T01:30:36.1371192Z 'guarded_class': 2022-11-23T01:30:36.1371242Z } 2022-11-23T01:30:36.1371308Z 2022-11-23T01:30:36.1371376Z - 2022-11-23T01:30:36.1371498Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1371561Z { 2022-11-23T01:30:36.1371697Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1371975Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1372080Z 'obj_weakref': None 2022-11-23T01:30:36.1372334Z 'guarded_class': 2022-11-23T01:30:36.1372398Z } 2022-11-23T01:30:36.1372465Z 2022-11-23T01:30:36.1372535Z - 2022-11-23T01:30:36.1372716Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.1372782Z { 2022-11-23T01:30:36.1372936Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.1373678Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'], 2022-11-23T01:30:36.1373802Z 'obj_weakref': None 2022-11-23T01:30:36.1374024Z 'guarded_class': 2022-11-23T01:30:36.1374090Z } 2022-11-23T01:30:36.1374155Z 2022-11-23T01:30:36.1374224Z - 2022-11-23T01:30:36.1374409Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.1374460Z { 2022-11-23T01:30:36.1374603Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1374881Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:30:36.1375000Z 'obj_weakref': None 2022-11-23T01:30:36.1375219Z 'guarded_class': 2022-11-23T01:30:36.1375284Z } 2022-11-23T01:30:36.1375347Z 2022-11-23T01:30:36.1375415Z - 2022-11-23T01:30:36.1375589Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1375653Z { 2022-11-23T01:30:36.1375794Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1376077Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 1'], 2022-11-23T01:30:36.1376197Z 'obj_weakref': None 2022-11-23T01:30:36.1376418Z 'guarded_class': 2022-11-23T01:30:36.1376483Z } 2022-11-23T01:30:36.1376534Z 2022-11-23T01:30:36.1376605Z - 2022-11-23T01:30:36.1376787Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.1376854Z { 2022-11-23T01:30:36.1376997Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1377274Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 1'], 2022-11-23T01:30:36.1377396Z 'obj_weakref': None 2022-11-23T01:30:36.1377632Z 'guarded_class': 2022-11-23T01:30:36.1377699Z } 2022-11-23T01:30:36.1377762Z 2022-11-23T01:30:36.1377831Z - 2022-11-23T01:30:36.1378013Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.1378077Z { 2022-11-23T01:30:36.1378221Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1378486Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 1'], 2022-11-23T01:30:36.1378604Z 'obj_weakref': None 2022-11-23T01:30:36.1378825Z 'guarded_class': 2022-11-23T01:30:36.1378888Z } 2022-11-23T01:30:36.1378983Z 2022-11-23T01:30:36.1379052Z - 2022-11-23T01:30:36.1379183Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1379234Z { 2022-11-23T01:30:36.1379357Z 'guard_types': None, 2022-11-23T01:30:36.1379465Z 'code': None, 2022-11-23T01:30:36.1379582Z 'obj_weakref': None 2022-11-23T01:30:36.1379706Z 'guarded_class': None 2022-11-23T01:30:36.1379771Z } 2022-11-23T01:30:36.1379833Z 2022-11-23T01:30:36.1380084Z [2022-11-23 01:26:46,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331 2022-11-23T01:30:36.1380456Z [2022-11-23 01:26:47,681] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qj/cqjtplra2fqrcjwbwjdqaan4ts5xepwifzothh7hvadi73f3kogu.py 2022-11-23T01:30:36.1380720Z [2022-11-23 01:26:47,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331 2022-11-23T01:30:36.1380957Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1381277Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1381493Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1381746Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1382022Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1382341Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1382687Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1383000Z [2022-11-23 01:26:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1383381Z [2022-11-23 01:26:47,686] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1383477Z 3040 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1383597Z 2 LOAD_METHOD 1 (reflection_pad2d_backward) 2022-11-23T01:30:36.1383698Z 4 LOAD_FAST 0 (grad_output) 2022-11-23T01:30:36.1383788Z 6 LOAD_FAST 1 (x) 2022-11-23T01:30:36.1383886Z 8 LOAD_DEREF 0 (padding) 2022-11-23T01:30:36.1383977Z 10 CALL_METHOD 3 2022-11-23T01:30:36.1384040Z 12 RETURN_VALUE 2022-11-23T01:30:36.1384104Z 2022-11-23T01:30:36.1384110Z 2022-11-23T01:30:36.1384458Z [2022-11-23 01:26:47,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040 2022-11-23T01:30:36.1384679Z [2022-11-23 01:26:47,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1385023Z [2022-11-23 01:26:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable()] 2022-11-23T01:30:36.1385326Z [2022-11-23 01:26:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)] 2022-11-23T01:30:36.1385640Z [2022-11-23 01:26:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()] 2022-11-23T01:30:36.1385995Z [2022-11-23 01:26:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1386402Z [2022-11-23 01:26:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1386650Z [2022-11-23 01:26:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1387031Z [2022-11-23 01:26:47,693] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1387265Z [2022-11-23 01:26:47,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1387499Z [2022-11-23 01:26:47,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1387754Z [2022-11-23 01:26:47,695] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1388004Z [2022-11-23 01:26:47,698] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1388194Z [2022-11-23 01:26:47,698] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1388328Z __compiled_fn_339 .2851 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1388419Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1388505Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1388666Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {} 2022-11-23T01:30:36.1388792Z output, output, output, ((reflection_pad2d_backward,),), {} 2022-11-23T01:30:36.1388798Z 2022-11-23T01:30:36.1389121Z [2022-11-23 01:26:47,698] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1389215Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1389308Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1389396Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1389493Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1389578Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1389653Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1389728Z 12 RETURN_VALUE 2022-11-23T01:30:36.1389733Z 2022-11-23T01:30:36.1389794Z 2022-11-23T01:30:36.1390116Z [2022-11-23 01:26:47,698] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1390224Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_339) 2022-11-23T01:30:36.1390314Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1390396Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1390476Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1390565Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1390654Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1390728Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1390844Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1390935Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1391063Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.1391158Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.1391244Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.1391340Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.1391440Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1391529Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1391591Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.1391683Z 32 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1391780Z 34 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.1391896Z 36 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1391970Z 38 BINARY_SUBSCR 2022-11-23T01:30:36.1392072Z 40 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.1392160Z 42 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1392254Z 44 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.1392328Z 46 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1392402Z 48 BINARY_SUBSCR 2022-11-23T01:30:36.1392500Z 50 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.1392574Z 52 RETURN_VALUE 2022-11-23T01:30:36.1392579Z 2022-11-23T01:30:36.1392639Z 2022-11-23T01:30:36.1392822Z [2022-11-23 01:26:47,700] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1392893Z - 2022-11-23T01:30:36.1392999Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1393061Z { 2022-11-23T01:30:36.1393203Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1393388Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1393509Z 'obj_weakref': None 2022-11-23T01:30:36.1393733Z 'guarded_class': 2022-11-23T01:30:36.1393798Z } 2022-11-23T01:30:36.1393849Z 2022-11-23T01:30:36.1393918Z - 2022-11-23T01:30:36.1394039Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1394101Z { 2022-11-23T01:30:36.1394242Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1394346Z 'code': None, 2022-11-23T01:30:36.1394552Z 'obj_weakref': 2022-11-23T01:30:36.1394791Z 'guarded_class': 2022-11-23T01:30:36.1394857Z } 2022-11-23T01:30:36.1394919Z 2022-11-23T01:30:36.1394987Z - 2022-11-23T01:30:36.1395109Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1395174Z { 2022-11-23T01:30:36.1395312Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1395404Z 'code': None, 2022-11-23T01:30:36.1395613Z 'obj_weakref': 2022-11-23T01:30:36.1395863Z 'guarded_class': 2022-11-23T01:30:36.1395930Z } 2022-11-23T01:30:36.1395994Z 2022-11-23T01:30:36.1396061Z - 2022-11-23T01:30:36.1396191Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1396241Z { 2022-11-23T01:30:36.1396374Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1396539Z 'code': ['___check_obj_id(model, 140534620197872)'], 2022-11-23T01:30:36.1396659Z 'obj_weakref': None 2022-11-23T01:30:36.1396888Z 'guarded_class': 2022-11-23T01:30:36.1396983Z } 2022-11-23T01:30:36.1397046Z 2022-11-23T01:30:36.1397102Z - 2022-11-23T01:30:36.1397222Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1397285Z { 2022-11-23T01:30:36.1397419Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1397634Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1397750Z 'obj_weakref': None 2022-11-23T01:30:36.1397970Z 'guarded_class': 2022-11-23T01:30:36.1398022Z } 2022-11-23T01:30:36.1398085Z 2022-11-23T01:30:36.1398155Z - 2022-11-23T01:30:36.1398331Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.1398422Z { 2022-11-23T01:30:36.1398588Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.1399332Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'], 2022-11-23T01:30:36.1399450Z 'obj_weakref': None 2022-11-23T01:30:36.1399667Z 'guarded_class': 2022-11-23T01:30:36.1399717Z } 2022-11-23T01:30:36.1399779Z 2022-11-23T01:30:36.1399848Z - 2022-11-23T01:30:36.1400107Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.1400176Z { 2022-11-23T01:30:36.1400321Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1400600Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:30:36.1400705Z 'obj_weakref': None 2022-11-23T01:30:36.1400926Z 'guarded_class': 2022-11-23T01:30:36.1400989Z } 2022-11-23T01:30:36.1401052Z 2022-11-23T01:30:36.1401120Z - 2022-11-23T01:30:36.1401303Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1401367Z { 2022-11-23T01:30:36.1401494Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1401775Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 2'], 2022-11-23T01:30:36.1401896Z 'obj_weakref': None 2022-11-23T01:30:36.1402119Z 'guarded_class': 2022-11-23T01:30:36.1402183Z } 2022-11-23T01:30:36.1402246Z 2022-11-23T01:30:36.1402315Z - 2022-11-23T01:30:36.1402487Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.1402550Z { 2022-11-23T01:30:36.1402692Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1402973Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 3'], 2022-11-23T01:30:36.1403091Z 'obj_weakref': None 2022-11-23T01:30:36.1403310Z 'guarded_class': 2022-11-23T01:30:36.1403374Z } 2022-11-23T01:30:36.1403424Z 2022-11-23T01:30:36.1403495Z - 2022-11-23T01:30:36.1403679Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.1403744Z { 2022-11-23T01:30:36.1403920Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1404201Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 4'], 2022-11-23T01:30:36.1404319Z 'obj_weakref': None 2022-11-23T01:30:36.1404537Z 'guarded_class': 2022-11-23T01:30:36.1404590Z } 2022-11-23T01:30:36.1404652Z 2022-11-23T01:30:36.1404720Z - 2022-11-23T01:30:36.1404967Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1405031Z { 2022-11-23T01:30:36.1405151Z 'guard_types': None, 2022-11-23T01:30:36.1405244Z 'code': None, 2022-11-23T01:30:36.1405360Z 'obj_weakref': None 2022-11-23T01:30:36.1405529Z 'guarded_class': None 2022-11-23T01:30:36.1405594Z } 2022-11-23T01:30:36.1405658Z 2022-11-23T01:30:36.1405922Z [2022-11-23 01:26:47,705] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332 2022-11-23T01:30:36.1405928Z 2022-11-23T01:30:36.1406021Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1406090Z import torch 2022-11-23T01:30:36.1406146Z import random 2022-11-23T01:30:36.1406261Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1406385Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1406389Z 2022-11-23T01:30:36.1406467Z aten = torch.ops.aten 2022-11-23T01:30:36.1406602Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1406693Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1406698Z 2022-11-23T01:30:36.1406702Z 2022-11-23T01:30:36.1406835Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1407041Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1407147Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1407248Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1407309Z { 2022-11-23T01:30:36.1407408Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1407470Z { 2022-11-23T01:30:36.1407546Z #pragma omp for 2022-11-23T01:30:36.1407627Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1407677Z { 2022-11-23T01:30:36.1407756Z #pragma GCC ivdep 2022-11-23T01:30:36.1407840Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.1407904Z { 2022-11-23T01:30:36.1407968Z { 2022-11-23T01:30:36.1408035Z { 2022-11-23T01:30:36.1408126Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:36.1408228Z auto tmp1 = static_cast(i1); 2022-11-23T01:30:36.1408335Z auto tmp2 = in_ptr0[tmp1 + (8*tmp0)]; 2022-11-23T01:30:36.1408430Z out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:30:36.1408497Z } 2022-11-23T01:30:36.1408564Z } 2022-11-23T01:30:36.1408627Z } 2022-11-23T01:30:36.1408677Z } 2022-11-23T01:30:36.1408740Z } 2022-11-23T01:30:36.1408800Z } 2022-11-23T01:30:36.1408877Z ''') 2022-11-23T01:30:36.1408882Z 2022-11-23T01:30:36.1408886Z 2022-11-23T01:30:36.1408975Z async_compile.wait(globals()) 2022-11-23T01:30:36.1409046Z del async_compile 2022-11-23T01:30:36.1409051Z 2022-11-23T01:30:36.1409121Z def call(args): 2022-11-23T01:30:36.1409184Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1409254Z args.clear() 2022-11-23T01:30:36.1409465Z buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1409600Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1409672Z del arg0_1 2022-11-23T01:30:36.1409742Z return (buf0, ) 2022-11-23T01:30:36.1409747Z 2022-11-23T01:30:36.1409751Z 2022-11-23T01:30:36.1409827Z if __name__ == "__main__": 2022-11-23T01:30:36.1409976Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1410088Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1410301Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1410512Z arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1410627Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1410631Z 2022-11-23T01:30:36.1410635Z 2022-11-23T01:30:36.1410728Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1410798Z import torch 2022-11-23T01:30:36.1410867Z import random 2022-11-23T01:30:36.1410980Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1411087Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1411163Z 2022-11-23T01:30:36.1411241Z aten = torch.ops.aten 2022-11-23T01:30:36.1411374Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1411467Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1411472Z 2022-11-23T01:30:36.1411476Z 2022-11-23T01:30:36.1411608Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1411813Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1411931Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1412031Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1412080Z { 2022-11-23T01:30:36.1412177Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1412238Z { 2022-11-23T01:30:36.1412315Z #pragma omp for 2022-11-23T01:30:36.1412396Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1412459Z { 2022-11-23T01:30:36.1412540Z #pragma GCC ivdep 2022-11-23T01:30:36.1412611Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.1412674Z { 2022-11-23T01:30:36.1412739Z { 2022-11-23T01:30:36.1412808Z { 2022-11-23T01:30:36.1412917Z auto tmp0 = static_cast(1 + i0); 2022-11-23T01:30:36.1413021Z auto tmp1 = static_cast(1 + i1); 2022-11-23T01:30:36.1413126Z auto tmp2 = in_ptr0[tmp1 + (10*tmp0)]; 2022-11-23T01:30:36.1413214Z auto tmp3 = static_cast(i1); 2022-11-23T01:30:36.1413306Z auto tmp4 = tmp3 >= 1; 2022-11-23T01:30:36.1413396Z auto tmp5 = tmp3 <= 1; 2022-11-23T01:30:36.1413490Z auto tmp6 = tmp4 & tmp5; 2022-11-23T01:30:36.1413573Z float tmp7 = 0.0; 2022-11-23T01:30:36.1413647Z if(tmp6) 2022-11-23T01:30:36.1413715Z { 2022-11-23T01:30:36.1413811Z auto tmp8 = static_cast(1 + i0); 2022-11-23T01:30:36.1413987Z auto tmp9 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:30:36.1414098Z auto tmp10 = in_ptr0[tmp9 + (10*tmp8)]; 2022-11-23T01:30:36.1414181Z tmp7 = tmp10; 2022-11-23T01:30:36.1414249Z } 2022-11-23T01:30:36.1414342Z auto tmp11 = tmp2 + tmp7; 2022-11-23T01:30:36.1414432Z auto tmp12 = tmp3 >= 6; 2022-11-23T01:30:36.1414510Z auto tmp13 = tmp3 <= 6; 2022-11-23T01:30:36.1414604Z auto tmp14 = tmp12 & tmp13; 2022-11-23T01:30:36.1414689Z float tmp15 = 0.0; 2022-11-23T01:30:36.1414765Z if(tmp14) 2022-11-23T01:30:36.1414833Z { 2022-11-23T01:30:36.1414941Z auto tmp16 = static_cast(1 + i0); 2022-11-23T01:30:36.1415117Z auto tmp17 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:30:36.1415228Z auto tmp18 = in_ptr0[tmp17 + (10*tmp16)]; 2022-11-23T01:30:36.1415331Z tmp15 = tmp18; 2022-11-23T01:30:36.1415399Z } 2022-11-23T01:30:36.1415493Z auto tmp19 = tmp11 + tmp15; 2022-11-23T01:30:36.1415596Z auto tmp20 = static_cast(i0); 2022-11-23T01:30:36.1415688Z auto tmp21 = tmp20 >= 1; 2022-11-23T01:30:36.1415779Z auto tmp22 = tmp20 <= 1; 2022-11-23T01:30:36.1415871Z auto tmp23 = tmp21 & tmp22; 2022-11-23T01:30:36.1415943Z float tmp24 = 0.0; 2022-11-23T01:30:36.1416017Z if(tmp23) 2022-11-23T01:30:36.1416084Z { 2022-11-23T01:30:36.1416259Z auto tmp25 = static_cast(1 + ((-1)*i0)); 2022-11-23T01:30:36.1416402Z auto tmp26 = static_cast(1 + i1); 2022-11-23T01:30:36.1416509Z auto tmp27 = in_ptr0[tmp26 + (10*tmp25)]; 2022-11-23T01:30:36.1416594Z tmp24 = tmp27; 2022-11-23T01:30:36.1416648Z } 2022-11-23T01:30:36.1416741Z auto tmp28 = tmp19 + tmp24; 2022-11-23T01:30:36.1416831Z auto tmp29 = tmp20 >= 6; 2022-11-23T01:30:36.1416921Z auto tmp30 = tmp20 <= 6; 2022-11-23T01:30:36.1417014Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:30:36.1417097Z float tmp32 = 0.0; 2022-11-23T01:30:36.1417172Z if(tmp31) 2022-11-23T01:30:36.1417227Z { 2022-11-23T01:30:36.1417405Z auto tmp33 = static_cast(15 + ((-1)*i0)); 2022-11-23T01:30:36.1417513Z auto tmp34 = static_cast(1 + i1); 2022-11-23T01:30:36.1417622Z auto tmp35 = in_ptr0[tmp34 + (10*tmp33)]; 2022-11-23T01:30:36.1417704Z tmp32 = tmp35; 2022-11-23T01:30:36.1417770Z } 2022-11-23T01:30:36.1417866Z auto tmp36 = tmp28 + tmp32; 2022-11-23T01:30:36.1417947Z auto tmp37 = tmp23 & tmp6; 2022-11-23T01:30:36.1418030Z float tmp38 = 0.0; 2022-11-23T01:30:36.1418103Z if(tmp37) 2022-11-23T01:30:36.1418172Z { 2022-11-23T01:30:36.1418342Z auto tmp39 = static_cast(1 + ((-1)*i0)); 2022-11-23T01:30:36.1418514Z auto tmp40 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:30:36.1418622Z auto tmp41 = in_ptr0[tmp40 + (10*tmp39)]; 2022-11-23T01:30:36.1418703Z tmp38 = tmp41; 2022-11-23T01:30:36.1418757Z } 2022-11-23T01:30:36.1418851Z auto tmp42 = tmp36 + tmp38; 2022-11-23T01:30:36.1418943Z auto tmp43 = tmp23 & tmp14; 2022-11-23T01:30:36.1419029Z float tmp44 = 0.0; 2022-11-23T01:30:36.1419106Z if(tmp43) 2022-11-23T01:30:36.1419172Z { 2022-11-23T01:30:36.1419342Z auto tmp45 = static_cast(1 + ((-1)*i0)); 2022-11-23T01:30:36.1419505Z auto tmp46 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:30:36.1419612Z auto tmp47 = in_ptr0[tmp46 + (10*tmp45)]; 2022-11-23T01:30:36.1419693Z tmp44 = tmp47; 2022-11-23T01:30:36.1419760Z } 2022-11-23T01:30:36.1419853Z auto tmp48 = tmp42 + tmp44; 2022-11-23T01:30:36.1419945Z auto tmp49 = tmp31 & tmp6; 2022-11-23T01:30:36.1420028Z float tmp50 = 0.0; 2022-11-23T01:30:36.1420091Z if(tmp49) 2022-11-23T01:30:36.1420160Z { 2022-11-23T01:30:36.1420333Z auto tmp51 = static_cast(15 + ((-1)*i0)); 2022-11-23T01:30:36.1420545Z auto tmp52 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:30:36.1420652Z auto tmp53 = in_ptr0[tmp52 + (10*tmp51)]; 2022-11-23T01:30:36.1420732Z tmp50 = tmp53; 2022-11-23T01:30:36.1420798Z } 2022-11-23T01:30:36.1420878Z auto tmp54 = tmp48 + tmp50; 2022-11-23T01:30:36.1420969Z auto tmp55 = tmp31 & tmp14; 2022-11-23T01:30:36.1421050Z float tmp56 = 0.0; 2022-11-23T01:30:36.1421127Z if(tmp55) 2022-11-23T01:30:36.1421194Z { 2022-11-23T01:30:36.1421366Z auto tmp57 = static_cast(15 + ((-1)*i0)); 2022-11-23T01:30:36.1421541Z auto tmp58 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:30:36.1421677Z auto tmp59 = in_ptr0[tmp58 + (10*tmp57)]; 2022-11-23T01:30:36.1421748Z tmp56 = tmp59; 2022-11-23T01:30:36.1421814Z } 2022-11-23T01:30:36.1421908Z auto tmp60 = tmp54 + tmp56; 2022-11-23T01:30:36.1422002Z out_ptr0[i1 + (8*i0)] = tmp60; 2022-11-23T01:30:36.1422068Z } 2022-11-23T01:30:36.1422132Z } 2022-11-23T01:30:36.1422196Z } 2022-11-23T01:30:36.1422246Z } 2022-11-23T01:30:36.1422306Z } 2022-11-23T01:30:36.1422365Z } 2022-11-23T01:30:36.1422441Z ''') 2022-11-23T01:30:36.1422446Z 2022-11-23T01:30:36.1422450Z 2022-11-23T01:30:36.1422537Z async_compile.wait(globals()) 2022-11-23T01:30:36.1422608Z del async_compile 2022-11-23T01:30:36.1422613Z 2022-11-23T01:30:36.1422683Z def call(args): 2022-11-23T01:30:36.1422744Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1422820Z args.clear() 2022-11-23T01:30:36.1423030Z buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1423165Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1423232Z del arg0_1 2022-11-23T01:30:36.1423301Z return (buf0, ) 2022-11-23T01:30:36.1423305Z 2022-11-23T01:30:36.1423309Z 2022-11-23T01:30:36.1423383Z if __name__ == "__main__": 2022-11-23T01:30:36.1423495Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1423606Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1423823Z arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1424031Z arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1424144Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1424148Z 2022-11-23T01:30:36.1424527Z [2022-11-23 01:26:49,186] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/go/cgodhcuhd3mdobdeq6dj3gbupbyk4p6vzvpzwnmhxxdhezbcganr.py 2022-11-23T01:30:36.1424797Z [2022-11-23 01:26:49,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332 2022-11-23T01:30:36.1424802Z 2022-11-23T01:30:36.1424895Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1424964Z import torch 2022-11-23T01:30:36.1425021Z import random 2022-11-23T01:30:36.1425134Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1425251Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1425256Z 2022-11-23T01:30:36.1425332Z aten = torch.ops.aten 2022-11-23T01:30:36.1425465Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1425555Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1425560Z 2022-11-23T01:30:36.1425564Z 2022-11-23T01:30:36.1425694Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1425897Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1426006Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1426133Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1426196Z { 2022-11-23T01:30:36.1426291Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1426353Z { 2022-11-23T01:30:36.1426428Z #pragma omp for 2022-11-23T01:30:36.1426509Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1426560Z { 2022-11-23T01:30:36.1426639Z #pragma GCC ivdep 2022-11-23T01:30:36.1426720Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.1426783Z { 2022-11-23T01:30:36.1426847Z { 2022-11-23T01:30:36.1426913Z { 2022-11-23T01:30:36.1427020Z auto tmp0 = static_cast(3 + i0); 2022-11-23T01:30:36.1427114Z auto tmp1 = static_cast(1 + i1); 2022-11-23T01:30:36.1427249Z auto tmp2 = in_ptr0[tmp1 + (11*tmp0)]; 2022-11-23T01:30:36.1427350Z auto tmp3 = static_cast(i1); 2022-11-23T01:30:36.1427444Z auto tmp4 = tmp3 >= 1; 2022-11-23T01:30:36.1427533Z auto tmp5 = tmp3 <= 1; 2022-11-23T01:30:36.1427626Z auto tmp6 = tmp4 & tmp5; 2022-11-23T01:30:36.1427709Z float tmp7 = 0.0; 2022-11-23T01:30:36.1427770Z if(tmp6) 2022-11-23T01:30:36.1427839Z { 2022-11-23T01:30:36.1427946Z auto tmp8 = static_cast(3 + i0); 2022-11-23T01:30:36.1428119Z auto tmp9 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:30:36.1428226Z auto tmp10 = in_ptr0[tmp9 + (11*tmp8)]; 2022-11-23T01:30:36.1428307Z tmp7 = tmp10; 2022-11-23T01:30:36.1428374Z } 2022-11-23T01:30:36.1428457Z auto tmp11 = tmp2 + tmp7; 2022-11-23T01:30:36.1428547Z auto tmp12 = tmp3 >= 5; 2022-11-23T01:30:36.1428636Z auto tmp13 = tmp3 <= 6; 2022-11-23T01:30:36.1428731Z auto tmp14 = tmp12 & tmp13; 2022-11-23T01:30:36.1428816Z float tmp15 = 0.0; 2022-11-23T01:30:36.1428891Z if(tmp14) 2022-11-23T01:30:36.1428958Z { 2022-11-23T01:30:36.1429053Z auto tmp16 = static_cast(3 + i0); 2022-11-23T01:30:36.1429227Z auto tmp17 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:30:36.1429334Z auto tmp18 = in_ptr0[tmp17 + (11*tmp16)]; 2022-11-23T01:30:36.1429416Z tmp15 = tmp18; 2022-11-23T01:30:36.1429483Z } 2022-11-23T01:30:36.1429576Z auto tmp19 = tmp11 + tmp15; 2022-11-23T01:30:36.1429679Z auto tmp20 = static_cast(i0); 2022-11-23T01:30:36.1429772Z auto tmp21 = tmp20 >= 1; 2022-11-23T01:30:36.1429851Z auto tmp22 = tmp20 <= 3; 2022-11-23T01:30:36.1429945Z auto tmp23 = tmp21 & tmp22; 2022-11-23T01:30:36.1430030Z float tmp24 = 0.0; 2022-11-23T01:30:36.1430105Z if(tmp23) 2022-11-23T01:30:36.1430172Z { 2022-11-23T01:30:36.1430344Z auto tmp25 = static_cast(3 + ((-1)*i0)); 2022-11-23T01:30:36.1430451Z auto tmp26 = static_cast(1 + i1); 2022-11-23T01:30:36.1430546Z auto tmp27 = in_ptr0[tmp26 + (11*tmp25)]; 2022-11-23T01:30:36.1430628Z tmp24 = tmp27; 2022-11-23T01:30:36.1430694Z } 2022-11-23T01:30:36.1430788Z auto tmp28 = tmp19 + tmp24; 2022-11-23T01:30:36.1430879Z auto tmp29 = tmp20 >= 3; 2022-11-23T01:30:36.1430972Z auto tmp30 = tmp20 <= 6; 2022-11-23T01:30:36.1431063Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:30:36.1431161Z float tmp32 = 0.0; 2022-11-23T01:30:36.1431237Z if(tmp31) 2022-11-23T01:30:36.1431304Z { 2022-11-23T01:30:36.1431480Z auto tmp33 = static_cast(17 + ((-1)*i0)); 2022-11-23T01:30:36.1431591Z auto tmp34 = static_cast(1 + i1); 2022-11-23T01:30:36.1431700Z auto tmp35 = in_ptr0[tmp34 + (11*tmp33)]; 2022-11-23T01:30:36.1431783Z tmp32 = tmp35; 2022-11-23T01:30:36.1431850Z } 2022-11-23T01:30:36.1431931Z auto tmp36 = tmp28 + tmp32; 2022-11-23T01:30:36.1432024Z auto tmp37 = tmp23 & tmp6; 2022-11-23T01:30:36.1432109Z float tmp38 = 0.0; 2022-11-23T01:30:36.1432216Z if(tmp37) 2022-11-23T01:30:36.1432284Z { 2022-11-23T01:30:36.1432460Z auto tmp39 = static_cast(3 + ((-1)*i0)); 2022-11-23T01:30:36.1432631Z auto tmp40 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:30:36.1432728Z auto tmp41 = in_ptr0[tmp40 + (11*tmp39)]; 2022-11-23T01:30:36.1432809Z tmp38 = tmp41; 2022-11-23T01:30:36.1432879Z } 2022-11-23T01:30:36.1432974Z auto tmp42 = tmp36 + tmp38; 2022-11-23T01:30:36.1433065Z auto tmp43 = tmp23 & tmp14; 2022-11-23T01:30:36.1433150Z float tmp44 = 0.0; 2022-11-23T01:30:36.1433226Z if(tmp43) 2022-11-23T01:30:36.1433281Z { 2022-11-23T01:30:36.1433455Z auto tmp45 = static_cast(3 + ((-1)*i0)); 2022-11-23T01:30:36.1433634Z auto tmp46 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:30:36.1433740Z auto tmp47 = in_ptr0[tmp46 + (11*tmp45)]; 2022-11-23T01:30:36.1433824Z tmp44 = tmp47; 2022-11-23T01:30:36.1433891Z } 2022-11-23T01:30:36.1433983Z auto tmp48 = tmp42 + tmp44; 2022-11-23T01:30:36.1434064Z auto tmp49 = tmp31 & tmp6; 2022-11-23T01:30:36.1434149Z float tmp50 = 0.0; 2022-11-23T01:30:36.1434223Z if(tmp49) 2022-11-23T01:30:36.1434295Z { 2022-11-23T01:30:36.1434469Z auto tmp51 = static_cast(17 + ((-1)*i0)); 2022-11-23T01:30:36.1434640Z auto tmp52 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:30:36.1434745Z auto tmp53 = in_ptr0[tmp52 + (11*tmp51)]; 2022-11-23T01:30:36.1434826Z tmp50 = tmp53; 2022-11-23T01:30:36.1434883Z } 2022-11-23T01:30:36.1434976Z auto tmp54 = tmp48 + tmp50; 2022-11-23T01:30:36.1435070Z auto tmp55 = tmp31 & tmp14; 2022-11-23T01:30:36.1435153Z float tmp56 = 0.0; 2022-11-23T01:30:36.1435228Z if(tmp55) 2022-11-23T01:30:36.1435296Z { 2022-11-23T01:30:36.1435467Z auto tmp57 = static_cast(17 + ((-1)*i0)); 2022-11-23T01:30:36.1435628Z auto tmp58 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:30:36.1435736Z auto tmp59 = in_ptr0[tmp58 + (11*tmp57)]; 2022-11-23T01:30:36.1435819Z tmp56 = tmp59; 2022-11-23T01:30:36.1435886Z } 2022-11-23T01:30:36.1435979Z auto tmp60 = tmp54 + tmp56; 2022-11-23T01:30:36.1436074Z out_ptr0[i1 + (8*i0)] = tmp60; 2022-11-23T01:30:36.1436142Z } 2022-11-23T01:30:36.1436194Z } 2022-11-23T01:30:36.1436258Z } 2022-11-23T01:30:36.1436323Z } 2022-11-23T01:30:36.1436411Z } 2022-11-23T01:30:36.1436473Z } 2022-11-23T01:30:36.1436551Z ''') 2022-11-23T01:30:36.1436555Z 2022-11-23T01:30:36.1436560Z 2022-11-23T01:30:36.1436648Z async_compile.wait(globals()) 2022-11-23T01:30:36.1436708Z del async_compile 2022-11-23T01:30:36.1436713Z 2022-11-23T01:30:36.1436783Z def call(args): 2022-11-23T01:30:36.1436856Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1436927Z args.clear() 2022-11-23T01:30:36.1437134Z buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1437268Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1437336Z del arg0_1 2022-11-23T01:30:36.1437394Z return (buf0, ) 2022-11-23T01:30:36.1437399Z 2022-11-23T01:30:36.1437416Z 2022-11-23T01:30:36.1437511Z if __name__ == "__main__": 2022-11-23T01:30:36.1437625Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1437748Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1437971Z arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1438180Z arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1438295Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1438300Z 2022-11-23T01:30:36.1438369Z ok (4.466s) 2022-11-23T01:30:36.1438688Z test_reflection_pad2d_cpu (__main__.CpuTests) ... [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1438994Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1439210Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1439465Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1439745Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1440144Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1440500Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1440823Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1441198Z [2022-11-23 01:26:49,191] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1441296Z 3029 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1441409Z 2 LOAD_METHOD 1 (reflection_pad2d) 2022-11-23T01:30:36.1441488Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1441576Z 6 BUILD_LIST 0 2022-11-23T01:30:36.1441670Z 8 LOAD_CONST 1 ((1, 1, 1, 1)) 2022-11-23T01:30:36.1441758Z 10 LIST_EXTEND 1 2022-11-23T01:30:36.1441844Z 12 CALL_METHOD 2 2022-11-23T01:30:36.1441849Z 2022-11-23T01:30:36.1441939Z 3030 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1442045Z 16 LOAD_METHOD 1 (reflection_pad2d) 2022-11-23T01:30:36.1442121Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1442207Z 20 BUILD_LIST 0 2022-11-23T01:30:36.1442303Z 22 LOAD_CONST 2 ((1, 2, 3, 4)) 2022-11-23T01:30:36.1442389Z 24 LIST_EXTEND 1 2022-11-23T01:30:36.1442525Z 26 CALL_METHOD 2 2022-11-23T01:30:36.1442529Z 2022-11-23T01:30:36.1442614Z 3028 28 BUILD_TUPLE 2 2022-11-23T01:30:36.1442690Z 30 RETURN_VALUE 2022-11-23T01:30:36.1442750Z 2022-11-23T01:30:36.1442755Z 2022-11-23T01:30:36.1443061Z [2022-11-23 01:26:49,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3029 2022-11-23T01:30:36.1443277Z [2022-11-23 01:26:49,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1443600Z [2022-11-23 01:26:49,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable()] 2022-11-23T01:30:36.1443867Z [2022-11-23 01:26:49,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)] 2022-11-23T01:30:36.1444198Z [2022-11-23 01:26:49,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.reflection_pad2d), TensorVariable()] 2022-11-23T01:30:36.1444529Z [2022-11-23 01:26:49,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1444995Z [2022-11-23 01:26:49,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.1445326Z [2022-11-23 01:26:49,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1445638Z [2022-11-23 01:26:49,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3030 2022-11-23T01:30:36.1445885Z [2022-11-23 01:26:49,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.1446312Z [2022-11-23 01:26:49,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1446616Z [2022-11-23 01:26:49,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)] 2022-11-23T01:30:36.1447103Z [2022-11-23 01:26:49,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()] 2022-11-23T01:30:36.1447467Z [2022-11-23 01:26:49,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1447864Z [2022-11-23 01:26:49,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.1448225Z [2022-11-23 01:26:49,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1448536Z [2022-11-23 01:26:49,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3028 2022-11-23T01:30:36.1448804Z [2022-11-23 01:26:49,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1449050Z [2022-11-23 01:26:49,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1449427Z [2022-11-23 01:26:49,207] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1449671Z [2022-11-23 01:26:49,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1449970Z [2022-11-23 01:26:49,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1450214Z [2022-11-23 01:26:49,208] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1450464Z [2022-11-23 01:26:49,211] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1450651Z [2022-11-23 01:26:49,211] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1450785Z __compiled_fn_340 .2857 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1450874Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1451018Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {} 2022-11-23T01:30:36.1451161Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {} 2022-11-23T01:30:36.1451348Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {} 2022-11-23T01:30:36.1451355Z 2022-11-23T01:30:36.1451682Z [2022-11-23 01:26:49,212] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1451764Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1451854Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1451940Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1452033Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1452117Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1452204Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1452278Z 12 RETURN_VALUE 2022-11-23T01:30:36.1452284Z 2022-11-23T01:30:36.1452332Z 2022-11-23T01:30:36.1452654Z [2022-11-23 01:26:49,212] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1452764Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_340) 2022-11-23T01:30:36.1452858Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1452948Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1453023Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1453111Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1453213Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1453302Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1453389Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1453465Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1453564Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1453650Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1453724Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1453813Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1453874Z 26 RETURN_VALUE 2022-11-23T01:30:36.1453879Z 2022-11-23T01:30:36.1453938Z 2022-11-23T01:30:36.1454119Z [2022-11-23 01:26:49,212] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1454189Z - 2022-11-23T01:30:36.1454308Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1454370Z { 2022-11-23T01:30:36.1454507Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1454679Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1454797Z 'obj_weakref': None 2022-11-23T01:30:36.1455020Z 'guarded_class': 2022-11-23T01:30:36.1455085Z } 2022-11-23T01:30:36.1455147Z 2022-11-23T01:30:36.1455215Z - 2022-11-23T01:30:36.1455337Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1455387Z { 2022-11-23T01:30:36.1455531Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1455637Z 'code': None, 2022-11-23T01:30:36.1455892Z 'obj_weakref': 2022-11-23T01:30:36.1456147Z 'guarded_class': 2022-11-23T01:30:36.1456212Z } 2022-11-23T01:30:36.1456274Z 2022-11-23T01:30:36.1456330Z - 2022-11-23T01:30:36.1456461Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1456524Z { 2022-11-23T01:30:36.1456656Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1456823Z 'code': ['___check_obj_id(model, 140534433004512)'], 2022-11-23T01:30:36.1456939Z 'obj_weakref': None 2022-11-23T01:30:36.1457168Z 'guarded_class': 2022-11-23T01:30:36.1457219Z } 2022-11-23T01:30:36.1457312Z 2022-11-23T01:30:36.1457380Z - 2022-11-23T01:30:36.1457502Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1457565Z { 2022-11-23T01:30:36.1457701Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1457916Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1458019Z 'obj_weakref': None 2022-11-23T01:30:36.1458240Z 'guarded_class': 2022-11-23T01:30:36.1458304Z } 2022-11-23T01:30:36.1458367Z 2022-11-23T01:30:36.1458434Z - 2022-11-23T01:30:36.1458564Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1458626Z { 2022-11-23T01:30:36.1458732Z 'guard_types': None, 2022-11-23T01:30:36.1458836Z 'code': None, 2022-11-23T01:30:36.1458951Z 'obj_weakref': None 2022-11-23T01:30:36.1459075Z 'guarded_class': None 2022-11-23T01:30:36.1459137Z } 2022-11-23T01:30:36.1459198Z 2022-11-23T01:30:36.1459459Z [2022-11-23 01:26:49,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333 2022-11-23T01:30:36.1459814Z [2022-11-23 01:26:50,661] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6dgo4lejlr4jzm4ek3t23nahsyyjdkpzieciztcqyxkxp52alrz.py 2022-11-23T01:30:36.1460077Z [2022-11-23 01:26:50,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333 2022-11-23T01:30:36.1460083Z 2022-11-23T01:30:36.1460175Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1460243Z import torch 2022-11-23T01:30:36.1460312Z import random 2022-11-23T01:30:36.1460425Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1460544Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1460549Z 2022-11-23T01:30:36.1460626Z aten = torch.ops.aten 2022-11-23T01:30:36.1460749Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1460841Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1460846Z 2022-11-23T01:30:36.1460852Z 2022-11-23T01:30:36.1460985Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1461189Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1461308Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1461407Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1461501Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1461561Z { 2022-11-23T01:30:36.1461646Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1461708Z { 2022-11-23T01:30:36.1461783Z #pragma omp for 2022-11-23T01:30:36.1461864Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.1461926Z { 2022-11-23T01:30:36.1462005Z #pragma GCC ivdep 2022-11-23T01:30:36.1462080Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.1462143Z { 2022-11-23T01:30:36.1462205Z { 2022-11-23T01:30:36.1462271Z { 2022-11-23T01:30:36.1462403Z auto tmp0 = static_cast(7); 2022-11-23T01:30:36.1462508Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:36.1462609Z auto tmp2 = static_cast(1); 2022-11-23T01:30:36.1462739Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:36.1462854Z auto tmp4 = std::abs(tmp3); 2022-11-23T01:30:36.1462991Z auto tmp5 = tmp0 - tmp4; 2022-11-23T01:30:36.1463090Z auto tmp6 = std::abs(tmp5); 2022-11-23T01:30:36.1463226Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:30:36.1463328Z auto tmp8 = static_cast(i1); 2022-11-23T01:30:36.1463463Z auto tmp9 = tmp8 - tmp2; 2022-11-23T01:30:36.1463593Z auto tmp10 = std::abs(tmp9); 2022-11-23T01:30:36.1463721Z auto tmp11 = tmp0 - tmp10; 2022-11-23T01:30:36.1463822Z auto tmp12 = std::abs(tmp11); 2022-11-23T01:30:36.1463962Z auto tmp13 = tmp0 - tmp12; 2022-11-23T01:30:36.1464065Z auto tmp14 = in_ptr0[tmp13 + (8*tmp7)]; 2022-11-23T01:30:36.1464160Z out_ptr0[i1 + (10*i0)] = tmp14; 2022-11-23T01:30:36.1464226Z } 2022-11-23T01:30:36.1464289Z } 2022-11-23T01:30:36.1464341Z } 2022-11-23T01:30:36.1464404Z } 2022-11-23T01:30:36.1464480Z #pragma omp for 2022-11-23T01:30:36.1464560Z for(long i0=0; i0<15; i0+=1) 2022-11-23T01:30:36.1464622Z { 2022-11-23T01:30:36.1464699Z #pragma GCC ivdep 2022-11-23T01:30:36.1464782Z for(long i1=0; i1<11; i1+=1) 2022-11-23T01:30:36.1464832Z { 2022-11-23T01:30:36.1464898Z { 2022-11-23T01:30:36.1464964Z { 2022-11-23T01:30:36.1465065Z auto tmp0 = static_cast(7); 2022-11-23T01:30:36.1465170Z auto tmp1 = static_cast(i0); 2022-11-23T01:30:36.1465271Z auto tmp2 = static_cast(3); 2022-11-23T01:30:36.1465411Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:36.1465497Z auto tmp4 = std::abs(tmp3); 2022-11-23T01:30:36.1465634Z auto tmp5 = tmp0 - tmp4; 2022-11-23T01:30:36.1465731Z auto tmp6 = std::abs(tmp5); 2022-11-23T01:30:36.1465869Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:30:36.1465969Z auto tmp8 = static_cast(i1); 2022-11-23T01:30:36.1466069Z auto tmp9 = static_cast(1); 2022-11-23T01:30:36.1466206Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:30:36.1466297Z auto tmp11 = std::abs(tmp10); 2022-11-23T01:30:36.1466440Z auto tmp12 = tmp0 - tmp11; 2022-11-23T01:30:36.1466538Z auto tmp13 = std::abs(tmp12); 2022-11-23T01:30:36.1466677Z auto tmp14 = tmp0 - tmp13; 2022-11-23T01:30:36.1466783Z auto tmp15 = in_ptr0[tmp14 + (8*tmp7)]; 2022-11-23T01:30:36.1466877Z out_ptr1[i1 + (11*i0)] = tmp15; 2022-11-23T01:30:36.1466943Z } 2022-11-23T01:30:36.1467006Z } 2022-11-23T01:30:36.1467057Z } 2022-11-23T01:30:36.1467119Z } 2022-11-23T01:30:36.1467182Z } 2022-11-23T01:30:36.1467241Z } 2022-11-23T01:30:36.1467317Z ''') 2022-11-23T01:30:36.1467322Z 2022-11-23T01:30:36.1467326Z 2022-11-23T01:30:36.1467415Z async_compile.wait(globals()) 2022-11-23T01:30:36.1467486Z del async_compile 2022-11-23T01:30:36.1467491Z 2022-11-23T01:30:36.1467547Z def call(args): 2022-11-23T01:30:36.1467618Z arg0_1, = args 2022-11-23T01:30:36.1467688Z args.clear() 2022-11-23T01:30:36.1467905Z buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1468150Z buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1468315Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1468384Z del arg0_1 2022-11-23T01:30:36.1468447Z return (buf0, buf1, ) 2022-11-23T01:30:36.1468452Z 2022-11-23T01:30:36.1468469Z 2022-11-23T01:30:36.1468532Z if __name__ == "__main__": 2022-11-23T01:30:36.1468646Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1468771Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1468981Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1469086Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1469117Z 2022-11-23T01:30:36.1469185Z ok (1.475s) 2022-11-23T01:30:36.1469483Z test_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1469798Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1470003Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1470254Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1470531Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1470850Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1471200Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1471522Z [2022-11-23 01:26:50,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1471896Z [2022-11-23 01:26:50,667] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1471993Z 995 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1472086Z 2 LOAD_METHOD 1 (relu) 2022-11-23T01:30:36.1472164Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1472252Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1472343Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1472436Z 10 LOAD_METHOD 1 (relu) 2022-11-23T01:30:36.1472528Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1472615Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:36.1472691Z 16 BINARY_ADD 2022-11-23T01:30:36.1472766Z 18 CALL_METHOD 1 2022-11-23T01:30:36.1472855Z 20 LOAD_CONST 1 (10) 2022-11-23T01:30:36.1472937Z 22 BINARY_TRUE_DIVIDE 2022-11-23T01:30:36.1473025Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1473101Z 26 RETURN_VALUE 2022-11-23T01:30:36.1473161Z 2022-11-23T01:30:36.1473166Z 2022-11-23T01:30:36.1473481Z [2022-11-23 01:26:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:995 2022-11-23T01:30:36.1473700Z [2022-11-23 01:26:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1474049Z [2022-11-23 01:26:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable()] 2022-11-23T01:30:36.1474402Z [2022-11-23 01:26:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1474759Z [2022-11-23 01:26:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1475007Z [2022-11-23 01:26:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1475403Z [2022-11-23 01:26:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1475754Z [2022-11-23 01:26:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1476161Z [2022-11-23 01:26:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1476570Z [2022-11-23 01:26:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1476949Z [2022-11-23 01:26:50,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1477215Z [2022-11-23 01:26:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1477535Z [2022-11-23 01:26:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1477803Z [2022-11-23 01:26:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1478048Z [2022-11-23 01:26:50,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1478410Z [2022-11-23 01:26:50,672] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1478653Z [2022-11-23 01:26:50,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1478884Z [2022-11-23 01:26:50,672] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1479138Z [2022-11-23 01:26:50,673] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1479392Z [2022-11-23 01:26:50,677] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1479581Z [2022-11-23 01:26:50,678] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1479716Z __compiled_fn_341 .2863 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1479805Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1479878Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1480194Z call_function, relu, , (ex_0_,), {} 2022-11-23T01:30:36.1480377Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.1480598Z call_function, relu_1, , (add,), {} 2022-11-23T01:30:36.1480787Z call_function, truediv, , (relu_1, 10), {} 2022-11-23T01:30:36.1480894Z output, output, output, ((relu, truediv),), {} 2022-11-23T01:30:36.1480900Z 2022-11-23T01:30:36.1481230Z [2022-11-23 01:26:50,678] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1481358Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1481451Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1481524Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1481616Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1481702Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1481789Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1481866Z 12 RETURN_VALUE 2022-11-23T01:30:36.1481872Z 2022-11-23T01:30:36.1481933Z 2022-11-23T01:30:36.1482257Z [2022-11-23 01:26:50,678] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1482351Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_341) 2022-11-23T01:30:36.1482470Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1482560Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1482636Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1482729Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1482816Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1482892Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1482967Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1483069Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1483169Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1483256Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1483334Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1483434Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1483520Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1483595Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1483671Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.1483745Z 32 RETURN_VALUE 2022-11-23T01:30:36.1483749Z 2022-11-23T01:30:36.1483811Z 2022-11-23T01:30:36.1483998Z [2022-11-23 01:26:50,679] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1484068Z - 2022-11-23T01:30:36.1484186Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1484250Z { 2022-11-23T01:30:36.1484377Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1484562Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1484681Z 'obj_weakref': None 2022-11-23T01:30:36.1485009Z 'guarded_class': 2022-11-23T01:30:36.1485075Z } 2022-11-23T01:30:36.1485138Z 2022-11-23T01:30:36.1485208Z - 2022-11-23T01:30:36.1485319Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1485385Z { 2022-11-23T01:30:36.1485527Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1485634Z 'code': None, 2022-11-23T01:30:36.1485844Z 'obj_weakref': 2022-11-23T01:30:36.1486100Z 'guarded_class': 2022-11-23T01:30:36.1486163Z } 2022-11-23T01:30:36.1486214Z 2022-11-23T01:30:36.1486283Z - 2022-11-23T01:30:36.1486405Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1486468Z { 2022-11-23T01:30:36.1486607Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1486712Z 'code': None, 2022-11-23T01:30:36.1486918Z 'obj_weakref': 2022-11-23T01:30:36.1487156Z 'guarded_class': 2022-11-23T01:30:36.1487222Z } 2022-11-23T01:30:36.1487283Z 2022-11-23T01:30:36.1487351Z - 2022-11-23T01:30:36.1487478Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1487587Z { 2022-11-23T01:30:36.1487722Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1487875Z 'code': ['___check_obj_id(model, 140534643341296)'], 2022-11-23T01:30:36.1487993Z 'obj_weakref': None 2022-11-23T01:30:36.1488224Z 'guarded_class': 2022-11-23T01:30:36.1488288Z } 2022-11-23T01:30:36.1488351Z 2022-11-23T01:30:36.1488420Z - 2022-11-23T01:30:36.1488541Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1488591Z { 2022-11-23T01:30:36.1488727Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1488941Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1489097Z 'obj_weakref': None 2022-11-23T01:30:36.1489319Z 'guarded_class': 2022-11-23T01:30:36.1489381Z } 2022-11-23T01:30:36.1489443Z 2022-11-23T01:30:36.1489498Z - 2022-11-23T01:30:36.1489629Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1489692Z { 2022-11-23T01:30:36.1489810Z 'guard_types': None, 2022-11-23T01:30:36.1489915Z 'code': None, 2022-11-23T01:30:36.1490032Z 'obj_weakref': None 2022-11-23T01:30:36.1490152Z 'guarded_class': None 2022-11-23T01:30:36.1490202Z } 2022-11-23T01:30:36.1490264Z 2022-11-23T01:30:36.1490521Z [2022-11-23 01:26:50,686] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334 2022-11-23T01:30:36.1490889Z [2022-11-23 01:26:52,120] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2jp3bfkhcaizfs75itxdbkeg4cfymcuhtvv5cxlatqldeaakqmn.py 2022-11-23T01:30:36.1491156Z [2022-11-23 01:26:52,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334 2022-11-23T01:30:36.1491162Z 2022-11-23T01:30:36.1491254Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1491321Z import torch 2022-11-23T01:30:36.1491377Z import random 2022-11-23T01:30:36.1491491Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1491611Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1491616Z 2022-11-23T01:30:36.1491694Z aten = torch.ops.aten 2022-11-23T01:30:36.1491826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1491917Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1491921Z 2022-11-23T01:30:36.1491926Z 2022-11-23T01:30:36.1492057Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1492259Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1492379Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1492472Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.1492570Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1492665Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1492725Z { 2022-11-23T01:30:36.1492822Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1492884Z { 2022-11-23T01:30:36.1492959Z #pragma omp for 2022-11-23T01:30:36.1493027Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1493090Z { 2022-11-23T01:30:36.1493228Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1493360Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.1493487Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:30:36.1493571Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.1493696Z auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0)); 2022-11-23T01:30:36.1493854Z auto tmp5 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:30:36.1493928Z auto tmp6 = tmp4 / tmp5; 2022-11-23T01:30:36.1494018Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1494110Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1494172Z } 2022-11-23T01:30:36.1494265Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1494346Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1494396Z { 2022-11-23T01:30:36.1494479Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1494560Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:36.1494647Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:36.1494730Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.1494816Z auto tmp4 = tmp3 * (tmp3>0); 2022-11-23T01:30:36.1494915Z auto tmp5 = static_cast(10); 2022-11-23T01:30:36.1495030Z auto tmp6 = tmp4 / tmp5; 2022-11-23T01:30:36.1495109Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.1495187Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:36.1495249Z } 2022-11-23T01:30:36.1495310Z } 2022-11-23T01:30:36.1495368Z } 2022-11-23T01:30:36.1495446Z ''') 2022-11-23T01:30:36.1495451Z 2022-11-23T01:30:36.1495455Z 2022-11-23T01:30:36.1495530Z async_compile.wait(globals()) 2022-11-23T01:30:36.1495601Z del async_compile 2022-11-23T01:30:36.1495605Z 2022-11-23T01:30:36.1495675Z def call(args): 2022-11-23T01:30:36.1495749Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1495819Z args.clear() 2022-11-23T01:30:36.1496012Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1496202Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1496391Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1496450Z del arg0_1 2022-11-23T01:30:36.1496514Z del arg1_1 2022-11-23T01:30:36.1496590Z return (buf0, buf1, ) 2022-11-23T01:30:36.1496597Z 2022-11-23T01:30:36.1496601Z 2022-11-23T01:30:36.1496677Z if __name__ == "__main__": 2022-11-23T01:30:36.1496790Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1496911Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1497105Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1497295Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1497396Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1497401Z 2022-11-23T01:30:36.1497467Z ok (1.459s) 2022-11-23T01:30:36.1497777Z test_remainder_cpu (__main__.CpuTests) ... [2022-11-23 01:26:52,125] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1498093Z [2022-11-23 01:26:52,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1498313Z [2022-11-23 01:26:52,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1498568Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1498845Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1499164Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1499508Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1499820Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1500225Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1500325Z 2761 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1500425Z 2 LOAD_METHOD 1 (remainder) 2022-11-23T01:30:36.1500516Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1500603Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.1500691Z 8 CALL_METHOD 2 2022-11-23T01:30:36.1500696Z 2022-11-23T01:30:36.1500789Z 2762 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1500885Z 12 LOAD_METHOD 1 (remainder) 2022-11-23T01:30:36.1500961Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1501076Z 16 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1501148Z 18 BINARY_ADD 2022-11-23T01:30:36.1501234Z 20 LOAD_FAST 1 (b) 2022-11-23T01:30:36.1501323Z 22 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1501402Z 24 BINARY_SUBTRACT 2022-11-23T01:30:36.1501487Z 26 CALL_METHOD 2 2022-11-23T01:30:36.1501492Z 2022-11-23T01:30:36.1501572Z 2763 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1501668Z 30 LOAD_METHOD 1 (remainder) 2022-11-23T01:30:36.1501755Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1501839Z 34 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1501918Z 36 BINARY_SUBTRACT 2022-11-23T01:30:36.1502003Z 38 LOAD_FAST 1 (b) 2022-11-23T01:30:36.1502129Z 40 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1502189Z 42 BINARY_ADD 2022-11-23T01:30:36.1502276Z 44 CALL_METHOD 2 2022-11-23T01:30:36.1502281Z 2022-11-23T01:30:36.1502366Z 2760 46 BUILD_TUPLE 3 2022-11-23T01:30:36.1502442Z 48 RETURN_VALUE 2022-11-23T01:30:36.1502502Z 2022-11-23T01:30:36.1502507Z 2022-11-23T01:30:36.1502823Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2761 2022-11-23T01:30:36.1503040Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1503413Z [2022-11-23 01:26:52,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable()] 2022-11-23T01:30:36.1503747Z [2022-11-23 01:26:52,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1504092Z [2022-11-23 01:26:52,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1504484Z [2022-11-23 01:26:52,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1504800Z [2022-11-23 01:26:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2762 2022-11-23T01:30:36.1505046Z [2022-11-23 01:26:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1505450Z [2022-11-23 01:26:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1505813Z [2022-11-23 01:26:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1506255Z [2022-11-23 01:26:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1506689Z [2022-11-23 01:26:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1507070Z [2022-11-23 01:26:52,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1507482Z [2022-11-23 01:26:52,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1507979Z [2022-11-23 01:26:52,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1508400Z [2022-11-23 01:26:52,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1508715Z [2022-11-23 01:26:52,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2763 2022-11-23T01:30:36.1508985Z [2022-11-23 01:26:52,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1509403Z [2022-11-23 01:26:52,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1509792Z [2022-11-23 01:26:52,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1510206Z [2022-11-23 01:26:52,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1510669Z [2022-11-23 01:26:52,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1511081Z [2022-11-23 01:26:52,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1511527Z [2022-11-23 01:26:52,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1512011Z [2022-11-23 01:26:52,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1512460Z [2022-11-23 01:26:52,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1512777Z [2022-11-23 01:26:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2760 2022-11-23T01:30:36.1513097Z [2022-11-23 01:26:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1513346Z [2022-11-23 01:26:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1513725Z [2022-11-23 01:26:52,134] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1513971Z [2022-11-23 01:26:52,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1514204Z [2022-11-23 01:26:52,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1514443Z [2022-11-23 01:26:52,136] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1514721Z [2022-11-23 01:26:52,141] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1514909Z [2022-11-23 01:26:52,141] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1515044Z __compiled_fn_342 .2869 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1515132Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1515220Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1515471Z call_function, remainder, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.1515641Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.1515797Z call_function, sub, , (ex_1_, 1), {} 2022-11-23T01:30:36.1516049Z call_function, remainder_1, , (add, sub), {} 2022-11-23T01:30:36.1516224Z call_function, sub_1, , (ex_0_, 1), {} 2022-11-23T01:30:36.1516396Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:30:36.1516655Z call_function, remainder_2, , (sub_1, add_1), {} 2022-11-23T01:30:36.1516791Z output, output, output, ((remainder, remainder_1, remainder_2),), {} 2022-11-23T01:30:36.1516796Z 2022-11-23T01:30:36.1517118Z [2022-11-23 01:26:52,142] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1517211Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1517301Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1517375Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1517466Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1517549Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1517637Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1517714Z 12 RETURN_VALUE 2022-11-23T01:30:36.1517720Z 2022-11-23T01:30:36.1517780Z 2022-11-23T01:30:36.1518103Z [2022-11-23 01:26:52,142] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1518198Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_342) 2022-11-23T01:30:36.1518289Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1518405Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1518511Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1518633Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1518755Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1518841Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1518930Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1519021Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1519125Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1519214Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1519326Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1519428Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1519514Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1519588Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1519672Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1519759Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1519834Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1519922Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.1520052Z 38 RETURN_VALUE 2022-11-23T01:30:36.1520058Z 2022-11-23T01:30:36.1520119Z 2022-11-23T01:30:36.1520319Z [2022-11-23 01:26:52,143] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1520376Z - 2022-11-23T01:30:36.1520496Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1520595Z { 2022-11-23T01:30:36.1520737Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1520925Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1521047Z 'obj_weakref': None 2022-11-23T01:30:36.1521272Z 'guarded_class': 2022-11-23T01:30:36.1521323Z } 2022-11-23T01:30:36.1521389Z 2022-11-23T01:30:36.1521458Z - 2022-11-23T01:30:36.1521583Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1521646Z { 2022-11-23T01:30:36.1521787Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1521892Z 'code': None, 2022-11-23T01:30:36.1522092Z 'obj_weakref': 2022-11-23T01:30:36.1522345Z 'guarded_class': 2022-11-23T01:30:36.1522411Z } 2022-11-23T01:30:36.1522473Z 2022-11-23T01:30:36.1522542Z - 2022-11-23T01:30:36.1522669Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1522731Z { 2022-11-23T01:30:36.1522860Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1522965Z 'code': None, 2022-11-23T01:30:36.1523174Z 'obj_weakref': 2022-11-23T01:30:36.1523427Z 'guarded_class': 2022-11-23T01:30:36.1523490Z } 2022-11-23T01:30:36.1523553Z 2022-11-23T01:30:36.1523621Z - 2022-11-23T01:30:36.1523737Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1523800Z { 2022-11-23T01:30:36.1523932Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1524100Z 'code': ['___check_obj_id(model, 140534643341152)'], 2022-11-23T01:30:36.1524220Z 'obj_weakref': None 2022-11-23T01:30:36.1524453Z 'guarded_class': 2022-11-23T01:30:36.1524516Z } 2022-11-23T01:30:36.1524566Z 2022-11-23T01:30:36.1524634Z - 2022-11-23T01:30:36.1524881Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1524946Z { 2022-11-23T01:30:36.1525085Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1525302Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1525419Z 'obj_weakref': None 2022-11-23T01:30:36.1525626Z 'guarded_class': 2022-11-23T01:30:36.1525689Z } 2022-11-23T01:30:36.1525751Z 2022-11-23T01:30:36.1525821Z - 2022-11-23T01:30:36.1525957Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1526020Z { 2022-11-23T01:30:36.1526138Z 'guard_types': None, 2022-11-23T01:30:36.1526285Z 'code': None, 2022-11-23T01:30:36.1526403Z 'obj_weakref': None 2022-11-23T01:30:36.1526525Z 'guarded_class': None 2022-11-23T01:30:36.1526587Z } 2022-11-23T01:30:36.1526650Z 2022-11-23T01:30:36.1526912Z [2022-11-23 01:26:52,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335 2022-11-23T01:30:36.1527292Z [2022-11-23 01:26:53,593] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dl/cdlqvczqtweynnzcdyjaxxpestqegqxzvrgqybpucm5fwst63mu7.py 2022-11-23T01:30:36.1527546Z [2022-11-23 01:26:53,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335 2022-11-23T01:30:36.1527564Z 2022-11-23T01:30:36.1527644Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1527751Z import torch 2022-11-23T01:30:36.1527821Z import random 2022-11-23T01:30:36.1527938Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1528064Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1528068Z 2022-11-23T01:30:36.1528147Z aten = torch.ops.aten 2022-11-23T01:30:36.1528282Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1528362Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1528367Z 2022-11-23T01:30:36.1528384Z 2022-11-23T01:30:36.1528506Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1528710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1528829Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1528933Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.1529032Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1529152Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.1529290Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.1529362Z { 2022-11-23T01:30:36.1529491Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1529581Z { 2022-11-23T01:30:36.1529693Z #pragma omp for 2022-11-23T01:30:36.1529777Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.1529839Z { 2022-11-23T01:30:36.1529902Z { 2022-11-23T01:30:36.1529953Z { 2022-11-23T01:30:36.1530044Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1530135Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.1530232Z auto tmp2 = mod(tmp0, tmp1); 2022-11-23T01:30:36.1530322Z auto tmp3 = tmp2 + tmp1; 2022-11-23T01:30:36.1530443Z auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2; 2022-11-23T01:30:36.1530547Z auto tmp5 = static_cast(1); 2022-11-23T01:30:36.1530625Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:30:36.1530766Z auto tmp7 = tmp1 - tmp5; 2022-11-23T01:30:36.1530860Z auto tmp8 = mod(tmp6, tmp7); 2022-11-23T01:30:36.1530950Z auto tmp9 = tmp8 + tmp7; 2022-11-23T01:30:36.1531072Z auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8; 2022-11-23T01:30:36.1531207Z auto tmp11 = tmp0 - tmp5; 2022-11-23T01:30:36.1531297Z auto tmp12 = tmp1 + tmp5; 2022-11-23T01:30:36.1531380Z auto tmp13 = mod(tmp11, tmp12); 2022-11-23T01:30:36.1531472Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:30:36.1531595Z auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13; 2022-11-23T01:30:36.1531682Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.1531766Z out_ptr1[i0] = tmp10; 2022-11-23T01:30:36.1531849Z out_ptr2[i0] = tmp15; 2022-11-23T01:30:36.1531916Z } 2022-11-23T01:30:36.1531967Z } 2022-11-23T01:30:36.1532029Z } 2022-11-23T01:30:36.1532091Z } 2022-11-23T01:30:36.1532149Z } 2022-11-23T01:30:36.1532273Z ''') 2022-11-23T01:30:36.1532280Z 2022-11-23T01:30:36.1532284Z 2022-11-23T01:30:36.1532374Z async_compile.wait(globals()) 2022-11-23T01:30:36.1532474Z del async_compile 2022-11-23T01:30:36.1532479Z 2022-11-23T01:30:36.1532536Z def call(args): 2022-11-23T01:30:36.1532611Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1532683Z args.clear() 2022-11-23T01:30:36.1532879Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1533071Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1533256Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1533472Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.1533574Z del arg0_1 2022-11-23T01:30:36.1533628Z del arg1_1 2022-11-23T01:30:36.1533711Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.1533718Z 2022-11-23T01:30:36.1533722Z 2022-11-23T01:30:36.1533798Z if __name__ == "__main__": 2022-11-23T01:30:36.1533912Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1534035Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1534227Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1534420Z arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1534534Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1534539Z 2022-11-23T01:30:36.1534593Z ok (1.473s) 2022-11-23T01:30:36.1534898Z test_repeat_cpu (__main__.CpuTests) ... [2022-11-23 01:26:53,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1535217Z [2022-11-23 01:26:53,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1535438Z [2022-11-23 01:26:53,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1535692Z [2022-11-23 01:26:53,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1535968Z [2022-11-23 01:26:53,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1536287Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1536628Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1536950Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1537330Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1537411Z 2154 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1537556Z 2 LOAD_METHOD 0 (repeat) 2022-11-23T01:30:36.1537644Z 4 LOAD_CONST 1 (2) 2022-11-23T01:30:36.1537731Z 6 LOAD_CONST 1 (2) 2022-11-23T01:30:36.1537819Z 8 LOAD_CONST 2 (3) 2022-11-23T01:30:36.1537905Z 10 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1537993Z 12 CALL_METHOD 4 2022-11-23T01:30:36.1537998Z 2022-11-23T01:30:36.1538083Z 2155 14 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1538168Z 16 LOAD_METHOD 0 (repeat) 2022-11-23T01:30:36.1538255Z 18 LOAD_CONST 4 (8) 2022-11-23T01:30:36.1538340Z 20 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1538454Z 22 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1538542Z 24 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1538630Z 26 CALL_METHOD 4 2022-11-23T01:30:36.1538635Z 2022-11-23T01:30:36.1538720Z 2156 28 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1538801Z 30 LOAD_METHOD 0 (repeat) 2022-11-23T01:30:36.1538886Z 32 LOAD_CONST 1 (2) 2022-11-23T01:30:36.1538969Z 34 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1539054Z 36 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1539137Z 38 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1539220Z 40 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1539356Z 42 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1539430Z 44 CALL_METHOD 6 2022-11-23T01:30:36.1539447Z 2022-11-23T01:30:36.1539524Z 2153 46 BUILD_TUPLE 3 2022-11-23T01:30:36.1539600Z 48 RETURN_VALUE 2022-11-23T01:30:36.1539659Z 2022-11-23T01:30:36.1539663Z 2022-11-23T01:30:36.1539980Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2154 2022-11-23T01:30:36.1540191Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.1540436Z [2022-11-23 01:26:53,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()] 2022-11-23T01:30:36.1540711Z [2022-11-23 01:26:53,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)] 2022-11-23T01:30:36.1541025Z [2022-11-23 01:26:53,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)] 2022-11-23T01:30:36.1541379Z [2022-11-23 01:26:53,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1541754Z [2022-11-23 01:26:53,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1542185Z [2022-11-23 01:26:53,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1542498Z [2022-11-23 01:26:53,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2155 2022-11-23T01:30:36.1542734Z [2022-11-23 01:26:53,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.1543014Z [2022-11-23 01:26:53,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1543319Z [2022-11-23 01:26:53,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)] 2022-11-23T01:30:36.1543659Z [2022-11-23 01:26:53,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)] 2022-11-23T01:30:36.1544035Z [2022-11-23 01:26:53,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1544450Z [2022-11-23 01:26:53,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1544948Z [2022-11-23 01:26:53,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1545266Z [2022-11-23 01:26:53,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2156 2022-11-23T01:30:36.1545528Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1545820Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1546149Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)] 2022-11-23T01:30:36.1546549Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)] 2022-11-23T01:30:36.1546958Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1547401Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1547889Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1548411Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1548976Z [2022-11-23 01:26:53,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1549288Z [2022-11-23 01:26:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2153 2022-11-23T01:30:36.1549582Z [2022-11-23 01:26:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1549825Z [2022-11-23 01:26:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1550212Z [2022-11-23 01:26:53,604] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1550454Z [2022-11-23 01:26:53,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1550687Z [2022-11-23 01:26:53,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1550927Z [2022-11-23 01:26:53,605] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1551174Z [2022-11-23 01:26:53,608] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1551361Z [2022-11-23 01:26:53,609] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1551493Z __compiled_fn_343 .2875 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1551585Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1551694Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {} 2022-11-23T01:30:36.1551832Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {} 2022-11-23T01:30:36.1551948Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {} 2022-11-23T01:30:36.1552058Z output, output, output, ((repeat, repeat_1, repeat_2),), {} 2022-11-23T01:30:36.1552064Z 2022-11-23T01:30:36.1552392Z [2022-11-23 01:26:53,609] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1552485Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1552575Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1552662Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1552754Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1552838Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1552956Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1553019Z 12 RETURN_VALUE 2022-11-23T01:30:36.1553024Z 2022-11-23T01:30:36.1553087Z 2022-11-23T01:30:36.1553408Z [2022-11-23 01:26:53,609] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1553514Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_343) 2022-11-23T01:30:36.1553603Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1553691Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1553766Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1553852Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1553942Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1554041Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1554131Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1554210Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1554310Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1554398Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1554473Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1554558Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1554644Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1554721Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1554808Z 30 BUILD_TUPLE 3 2022-11-23T01:30:36.1554882Z 32 RETURN_VALUE 2022-11-23T01:30:36.1554887Z 2022-11-23T01:30:36.1554945Z 2022-11-23T01:30:36.1555129Z [2022-11-23 01:26:53,610] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1555186Z - 2022-11-23T01:30:36.1555304Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1555368Z { 2022-11-23T01:30:36.1555507Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1555696Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1555813Z 'obj_weakref': None 2022-11-23T01:30:36.1556038Z 'guarded_class': 2022-11-23T01:30:36.1556091Z } 2022-11-23T01:30:36.1556155Z 2022-11-23T01:30:36.1556224Z - 2022-11-23T01:30:36.1556346Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1556410Z { 2022-11-23T01:30:36.1556551Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1556655Z 'code': None, 2022-11-23T01:30:36.1556856Z 'obj_weakref': 2022-11-23T01:30:36.1557109Z 'guarded_class': 2022-11-23T01:30:36.1557173Z } 2022-11-23T01:30:36.1557235Z 2022-11-23T01:30:36.1557306Z - 2022-11-23T01:30:36.1557435Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1557497Z { 2022-11-23T01:30:36.1557645Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1557816Z 'code': ['___check_obj_id(model, 140534431372272)'], 2022-11-23T01:30:36.1557934Z 'obj_weakref': None 2022-11-23T01:30:36.1558162Z 'guarded_class': 2022-11-23T01:30:36.1558227Z } 2022-11-23T01:30:36.1558289Z 2022-11-23T01:30:36.1558357Z - 2022-11-23T01:30:36.1558465Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1558527Z { 2022-11-23T01:30:36.1558664Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1558879Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1558994Z 'obj_weakref': None 2022-11-23T01:30:36.1559244Z 'guarded_class': 2022-11-23T01:30:36.1559307Z } 2022-11-23T01:30:36.1559357Z 2022-11-23T01:30:36.1559616Z [2022-11-23 01:26:53,617] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336 2022-11-23T01:30:36.1560055Z [2022-11-23 01:26:55,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ya/cyaawuzfhai72ahyqvdy4mspsmf4x7t3dr6jbbalqhd7zqomw6pm.py 2022-11-23T01:30:36.1560324Z [2022-11-23 01:26:55,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336 2022-11-23T01:30:36.1560329Z 2022-11-23T01:30:36.1560422Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1560492Z import torch 2022-11-23T01:30:36.1560561Z import random 2022-11-23T01:30:36.1560675Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1560783Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1560791Z 2022-11-23T01:30:36.1560869Z aten = torch.ops.aten 2022-11-23T01:30:36.1561003Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1561097Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1561102Z 2022-11-23T01:30:36.1561106Z 2022-11-23T01:30:36.1561240Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1561446Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1561565Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1561665Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1561713Z { 2022-11-23T01:30:36.1561811Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1561872Z { 2022-11-23T01:30:36.1561962Z #pragma omp for collapse(2) 2022-11-23T01:30:36.1562044Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.1562107Z { 2022-11-23T01:30:36.1562189Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.1562242Z { 2022-11-23T01:30:36.1562323Z #pragma GCC ivdep 2022-11-23T01:30:36.1562413Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:30:36.1562480Z { 2022-11-23T01:30:36.1562571Z for(long i3=0; i3<1; i3+=1) 2022-11-23T01:30:36.1562637Z { 2022-11-23T01:30:36.1562805Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i3) + (8*(i2 % 4)) + (32*(i1 % 2))); 2022-11-23T01:30:36.1562910Z tmp0.store(out_ptr0 + (8*i2) + (8*i3) + (96*i1) + (384*i0)); 2022-11-23T01:30:36.1562977Z } 2022-11-23T01:30:36.1563077Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.1563169Z for(long i3=8; i3<8; i3+=1) 2022-11-23T01:30:36.1563234Z { 2022-11-23T01:30:36.1563347Z auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))]; 2022-11-23T01:30:36.1563455Z out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0; 2022-11-23T01:30:36.1563512Z } 2022-11-23T01:30:36.1563575Z } 2022-11-23T01:30:36.1563638Z } 2022-11-23T01:30:36.1563734Z } 2022-11-23T01:30:36.1563797Z } 2022-11-23T01:30:36.1563857Z } 2022-11-23T01:30:36.1563934Z ''') 2022-11-23T01:30:36.1563939Z 2022-11-23T01:30:36.1563943Z 2022-11-23T01:30:36.1564019Z async_compile.wait(globals()) 2022-11-23T01:30:36.1564092Z del async_compile 2022-11-23T01:30:36.1564096Z 2022-11-23T01:30:36.1564165Z def call(args): 2022-11-23T01:30:36.1564235Z arg0_1, = args 2022-11-23T01:30:36.1564309Z args.clear() 2022-11-23T01:30:36.1564523Z buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1564658Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1564935Z return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), ) 2022-11-23T01:30:36.1564993Z 2022-11-23T01:30:36.1564998Z 2022-11-23T01:30:36.1565075Z if __name__ == "__main__": 2022-11-23T01:30:36.1565179Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1565302Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1565516Z arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1565625Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1565629Z 2022-11-23T01:30:36.1565696Z ok (1.517s) 2022-11-23T01:30:36.1566006Z test_roi_align_cpu (__main__.CpuTests) ... [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1566321Z [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1566540Z [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1566862Z [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1567144Z [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1567465Z [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1567813Z [2022-11-23 01:26:55,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1568141Z [2022-11-23 01:26:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1568518Z [2022-11-23 01:26:55,675] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1568618Z 3336 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1568714Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.1568816Z 4 LOAD_ATTR 2 (torchvision) 2022-11-23T01:30:36.1568902Z 6 LOAD_METHOD 3 (roi_align) 2022-11-23T01:30:36.1568993Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1569081Z 10 LOAD_FAST 1 (b) 2022-11-23T01:30:36.1569173Z 12 LOAD_CONST 1 (0.25) 2022-11-23T01:30:36.1569262Z 14 LOAD_CONST 2 (7) 2022-11-23T01:30:36.1569351Z 16 LOAD_CONST 2 (7) 2022-11-23T01:30:36.1569437Z 18 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1569529Z 20 LOAD_CONST 4 (False) 2022-11-23T01:30:36.1569605Z 22 CALL_METHOD 7 2022-11-23T01:30:36.1569684Z 24 RETURN_VALUE 2022-11-23T01:30:36.1569746Z 2022-11-23T01:30:36.1569752Z 2022-11-23T01:30:36.1570112Z [2022-11-23 01:26:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3336 2022-11-23T01:30:36.1570334Z [2022-11-23 01:26:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1570698Z [2022-11-23 01:26:55,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.1571003Z [2022-11-23 01:26:55,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR torchvision [TorchVariable()] 2022-11-23T01:30:36.1571331Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roi_align [TorchVariable()] 2022-11-23T01:30:36.1571625Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(torchvision.roi_align)] 2022-11-23T01:30:36.1571911Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(torchvision.roi_align), TensorVariable()] 2022-11-23T01:30:36.1572236Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.25 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1572603Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.1573009Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:30:36.1573454Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1573948Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1574470Z [2022-11-23 01:26:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.1574719Z [2022-11-23 01:26:56,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1575103Z [2022-11-23 01:26:56,295] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1575355Z [2022-11-23 01:26:56,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1575589Z [2022-11-23 01:26:56,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1575841Z [2022-11-23 01:26:56,313] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1576088Z [2022-11-23 01:26:56,919] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1576264Z [2022-11-23 01:26:56,920] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1576396Z __compiled_fn_344 .2881 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1576486Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1576573Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1576720Z call_function, roi_align, torchvision.roi_align, (ex_0_, ex_1_, 0.25, 7, 7, 2, False), {} 2022-11-23T01:30:36.1576827Z output, output, output, ((roi_align,),), {} 2022-11-23T01:30:36.1576833Z 2022-11-23T01:30:36.1577186Z [2022-11-23 01:26:56,920] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1577282Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1577361Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1577447Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1577537Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1577622Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1577709Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1577785Z 12 RETURN_VALUE 2022-11-23T01:30:36.1577790Z 2022-11-23T01:30:36.1577849Z 2022-11-23T01:30:36.1578160Z [2022-11-23 01:26:56,920] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1578298Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_344) 2022-11-23T01:30:36.1578388Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1578477Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1578553Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1578640Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1578725Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1578798Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1578872Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1578960Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1579033Z 18 RETURN_VALUE 2022-11-23T01:30:36.1579039Z 2022-11-23T01:30:36.1579097Z 2022-11-23T01:30:36.1579278Z [2022-11-23 01:26:56,921] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1579350Z - 2022-11-23T01:30:36.1579468Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1579519Z { 2022-11-23T01:30:36.1579658Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1579845Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1579963Z 'obj_weakref': None 2022-11-23T01:30:36.1580188Z 'guarded_class': 2022-11-23T01:30:36.1580252Z } 2022-11-23T01:30:36.1580316Z 2022-11-23T01:30:36.1580372Z - 2022-11-23T01:30:36.1580494Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1580556Z { 2022-11-23T01:30:36.1580698Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1580804Z 'code': None, 2022-11-23T01:30:36.1581013Z 'obj_weakref': 2022-11-23T01:30:36.1581265Z 'guarded_class': 2022-11-23T01:30:36.1581318Z } 2022-11-23T01:30:36.1581381Z 2022-11-23T01:30:36.1581450Z - 2022-11-23T01:30:36.1581572Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1581634Z { 2022-11-23T01:30:36.1581773Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1581878Z 'code': None, 2022-11-23T01:30:36.1582071Z 'obj_weakref': 2022-11-23T01:30:36.1582324Z 'guarded_class': 2022-11-23T01:30:36.1582389Z } 2022-11-23T01:30:36.1582452Z 2022-11-23T01:30:36.1582520Z - 2022-11-23T01:30:36.1582648Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1582711Z { 2022-11-23T01:30:36.1582831Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1583000Z 'code': ['___check_obj_id(model, 140534427726992)'], 2022-11-23T01:30:36.1583118Z 'obj_weakref': None 2022-11-23T01:30:36.1583375Z 'guarded_class': 2022-11-23T01:30:36.1583439Z } 2022-11-23T01:30:36.1583501Z 2022-11-23T01:30:36.1583568Z - 2022-11-23T01:30:36.1583678Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1583739Z { 2022-11-23T01:30:36.1583872Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1584088Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1584206Z 'obj_weakref': None 2022-11-23T01:30:36.1584427Z 'guarded_class': 2022-11-23T01:30:36.1584489Z } 2022-11-23T01:30:36.1584540Z 2022-11-23T01:30:36.1584649Z - 2022-11-23T01:30:36.1584783Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1584846Z { 2022-11-23T01:30:36.1584965Z 'guard_types': None, 2022-11-23T01:30:36.1585072Z 'code': None, 2022-11-23T01:30:36.1585187Z 'obj_weakref': None 2022-11-23T01:30:36.1585294Z 'guarded_class': None 2022-11-23T01:30:36.1585357Z } 2022-11-23T01:30:36.1585419Z 2022-11-23T01:30:36.1585679Z [2022-11-23 01:26:57,497] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337 2022-11-23T01:30:36.1585937Z [2022-11-23 01:26:58,041] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.torchvision.roi_align 2022-11-23T01:30:36.1586297Z [2022-11-23 01:26:58,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4pltn6avz2d55jzdstupuq6vnm6xd3a6vadxgy4bmwozbvz5uk.py 2022-11-23T01:30:36.1586560Z [2022-11-23 01:26:58,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337 2022-11-23T01:30:36.1586568Z 2022-11-23T01:30:36.1586661Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1586718Z import torch 2022-11-23T01:30:36.1586788Z import random 2022-11-23T01:30:36.1586902Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1587023Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1587028Z 2022-11-23T01:30:36.1587105Z aten = torch.ops.aten 2022-11-23T01:30:36.1587238Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1587330Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1587335Z 2022-11-23T01:30:36.1587339Z 2022-11-23T01:30:36.1587425Z async_compile.wait(globals()) 2022-11-23T01:30:36.1587489Z del async_compile 2022-11-23T01:30:36.1587494Z 2022-11-23T01:30:36.1587563Z def call(args): 2022-11-23T01:30:36.1587637Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1587708Z args.clear() 2022-11-23T01:30:36.1587847Z buf0 = torch.ops.torchvision.roi_align(arg0_1, arg1_1, 0.25, 7, 7, 2, False) 2022-11-23T01:30:36.1587917Z del arg0_1 2022-11-23T01:30:36.1587981Z del arg1_1 2022-11-23T01:30:36.1588035Z buf1 = buf0 2022-11-23T01:30:36.1588145Z assert_size_stride(buf1, (2292, 256, 7, 7), (12544, 49, 7, 1)) 2022-11-23T01:30:36.1588209Z del buf0 2022-11-23T01:30:36.1588279Z return (buf1, ) 2022-11-23T01:30:36.1588283Z 2022-11-23T01:30:36.1588287Z 2022-11-23T01:30:36.1588361Z if __name__ == "__main__": 2022-11-23T01:30:36.1588473Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1588592Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1588815Z arg0_1 = rand_strided((4, 256, 296, 304), (23035904, 89984, 304, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1589014Z arg1_1 = rand_strided((2292, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1589130Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1589137Z 2022-11-23T01:30:36.1589204Z ok (3.913s) 2022-11-23T01:30:36.1589529Z test_roll_cpu (__main__.CpuTests) ... [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1589846Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1590062Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1590314Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1590591Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1590898Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1591243Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1591595Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1591973Z [2022-11-23 01:26:59,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1592068Z 4235 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1592160Z 2 LOAD_METHOD 1 (roll) 2022-11-23T01:30:36.1592249Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1592387Z 6 LOAD_CONST 1 (-3) 2022-11-23T01:30:36.1592475Z 8 LOAD_CONST 2 (10) 2022-11-23T01:30:36.1592550Z 10 BUILD_LIST 2 2022-11-23T01:30:36.1592642Z 12 LOAD_CONST 3 (1) 2022-11-23T01:30:36.1592730Z 14 LOAD_CONST 4 (2) 2022-11-23T01:30:36.1592817Z 16 BUILD_LIST 2 2022-11-23T01:30:36.1592903Z 18 CALL_METHOD 3 2022-11-23T01:30:36.1592907Z 2022-11-23T01:30:36.1592999Z 4236 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1593089Z 22 LOAD_METHOD 1 (roll) 2022-11-23T01:30:36.1593177Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1593252Z 26 LOAD_CONST 5 (5) 2022-11-23T01:30:36.1593336Z 28 BUILD_LIST 1 2022-11-23T01:30:36.1593420Z 30 CALL_METHOD 2 2022-11-23T01:30:36.1593424Z 2022-11-23T01:30:36.1593508Z 4234 32 BUILD_TUPLE 2 2022-11-23T01:30:36.1593584Z 34 RETURN_VALUE 2022-11-23T01:30:36.1593644Z 2022-11-23T01:30:36.1593651Z 2022-11-23T01:30:36.1593969Z [2022-11-23 01:26:59,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4235 2022-11-23T01:30:36.1594189Z [2022-11-23 01:26:59,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1594483Z [2022-11-23 01:26:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable()] 2022-11-23T01:30:36.1594732Z [2022-11-23 01:26:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)] 2022-11-23T01:30:36.1595011Z [2022-11-23 01:26:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()] 2022-11-23T01:30:36.1595324Z [2022-11-23 01:26:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1595676Z [2022-11-23 01:26:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1596006Z [2022-11-23 01:26:59,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1596349Z [2022-11-23 01:26:59,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1596725Z [2022-11-23 01:26:59,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1597053Z [2022-11-23 01:26:59,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.1597365Z [2022-11-23 01:26:59,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4236 2022-11-23T01:30:36.1597638Z [2022-11-23 01:26:59,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.1597955Z [2022-11-23 01:26:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1598235Z [2022-11-23 01:26:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)] 2022-11-23T01:30:36.1598541Z [2022-11-23 01:26:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()] 2022-11-23T01:30:36.1598881Z [2022-11-23 01:26:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1599219Z [2022-11-23 01:26:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.1599537Z [2022-11-23 01:26:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4234 2022-11-23T01:30:36.1599804Z [2022-11-23 01:26:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1600116Z [2022-11-23 01:26:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1600501Z [2022-11-23 01:26:59,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1600743Z [2022-11-23 01:26:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1600976Z [2022-11-23 01:26:59,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1601221Z [2022-11-23 01:26:59,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1601470Z [2022-11-23 01:26:59,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1601658Z [2022-11-23 01:26:59,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1601790Z __compiled_fn_345 .2887 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1601879Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1602046Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {} 2022-11-23T01:30:36.1602154Z call_function, roll_1, aten.roll, (ex_0_, [5]), {} 2022-11-23T01:30:36.1602258Z output, output, output, ((roll, roll_1),), {} 2022-11-23T01:30:36.1602263Z 2022-11-23T01:30:36.1602574Z [2022-11-23 01:26:59,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1602668Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1602792Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1602881Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1602972Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1603056Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1603144Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1603207Z 12 RETURN_VALUE 2022-11-23T01:30:36.1603224Z 2022-11-23T01:30:36.1603271Z 2022-11-23T01:30:36.1603593Z [2022-11-23 01:26:59,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1603702Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_345) 2022-11-23T01:30:36.1603790Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1603878Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1604009Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1604096Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1604187Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1604289Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1604375Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1604452Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1604550Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1604639Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1604713Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1604884Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1604963Z 26 RETURN_VALUE 2022-11-23T01:30:36.1604968Z 2022-11-23T01:30:36.1605027Z 2022-11-23T01:30:36.1605215Z [2022-11-23 01:26:59,081] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1605288Z - 2022-11-23T01:30:36.1605405Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1605469Z { 2022-11-23T01:30:36.1605596Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1605784Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1605904Z 'obj_weakref': None 2022-11-23T01:30:36.1606129Z 'guarded_class': 2022-11-23T01:30:36.1606195Z } 2022-11-23T01:30:36.1606258Z 2022-11-23T01:30:36.1606326Z - 2022-11-23T01:30:36.1606438Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1606501Z { 2022-11-23T01:30:36.1606645Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1606752Z 'code': None, 2022-11-23T01:30:36.1606963Z 'obj_weakref': 2022-11-23T01:30:36.1607215Z 'guarded_class': 2022-11-23T01:30:36.1607281Z } 2022-11-23T01:30:36.1607344Z 2022-11-23T01:30:36.1607402Z - 2022-11-23T01:30:36.1607532Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1607597Z { 2022-11-23T01:30:36.1607729Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1607896Z 'code': ['___check_obj_id(model, 140534623212240)'], 2022-11-23T01:30:36.1608014Z 'obj_weakref': None 2022-11-23T01:30:36.1608230Z 'guarded_class': 2022-11-23T01:30:36.1608293Z } 2022-11-23T01:30:36.1608355Z 2022-11-23T01:30:36.1608424Z - 2022-11-23T01:30:36.1608544Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1608607Z { 2022-11-23T01:30:36.1608740Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1608943Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1609060Z 'obj_weakref': None 2022-11-23T01:30:36.1609324Z 'guarded_class': 2022-11-23T01:30:36.1609390Z } 2022-11-23T01:30:36.1609452Z 2022-11-23T01:30:36.1609521Z - 2022-11-23T01:30:36.1609651Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1609701Z { 2022-11-23T01:30:36.1609819Z 'guard_types': None, 2022-11-23T01:30:36.1609924Z 'code': None, 2022-11-23T01:30:36.1610041Z 'obj_weakref': None 2022-11-23T01:30:36.1610160Z 'guarded_class': None 2022-11-23T01:30:36.1610223Z } 2022-11-23T01:30:36.1610286Z 2022-11-23T01:30:36.1610533Z [2022-11-23 01:26:59,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338 2022-11-23T01:30:36.1610949Z [2022-11-23 01:27:00,763] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pu/cpudzmzbgskb6wxezuh7gkomkyfrladv3fa3tkupei6i6yva5bjg.py 2022-11-23T01:30:36.1611217Z [2022-11-23 01:27:00,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338 2022-11-23T01:30:36.1611223Z 2022-11-23T01:30:36.1611320Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1611391Z import torch 2022-11-23T01:30:36.1611460Z import random 2022-11-23T01:30:36.1611573Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1611694Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1611698Z 2022-11-23T01:30:36.1611763Z aten = torch.ops.aten 2022-11-23T01:30:36.1611896Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1611988Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1611993Z 2022-11-23T01:30:36.1611997Z 2022-11-23T01:30:36.1612129Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1612335Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1612454Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1612557Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1612654Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1612703Z { 2022-11-23T01:30:36.1612801Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1612864Z { 2022-11-23T01:30:36.1612956Z #pragma omp for collapse(2) 2022-11-23T01:30:36.1613041Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.1613104Z { 2022-11-23T01:30:36.1613190Z for(long i1=0; i1<56; i1+=1) 2022-11-23T01:30:36.1613241Z { 2022-11-23T01:30:36.1613323Z #pragma GCC ivdep 2022-11-23T01:30:36.1613411Z for(long i2=0; i2<56; i2+=1) 2022-11-23T01:30:36.1613476Z { 2022-11-23T01:30:36.1613567Z for(long i3=0; i3<2; i3+=1) 2022-11-23T01:30:36.1613635Z { 2022-11-23T01:30:36.1613817Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)); 2022-11-23T01:30:36.1613925Z tmp0.store(out_ptr0 + (8*i3) + (16*i2) + (896*i1) + (50176*i0)); 2022-11-23T01:30:36.1613993Z } 2022-11-23T01:30:36.1614092Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.1614188Z for(long i3=16; i3<16; i3+=1) 2022-11-23T01:30:36.1614255Z { 2022-11-23T01:30:36.1614380Z auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)]; 2022-11-23T01:30:36.1614489Z out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0; 2022-11-23T01:30:36.1614555Z } 2022-11-23T01:30:36.1614607Z } 2022-11-23T01:30:36.1614670Z } 2022-11-23T01:30:36.1614735Z } 2022-11-23T01:30:36.1614815Z #pragma omp for 2022-11-23T01:30:36.1614900Z for(long i0=0; i0<100352; i0+=1) 2022-11-23T01:30:36.1614964Z { 2022-11-23T01:30:36.1615051Z { 2022-11-23T01:30:36.1615117Z { 2022-11-23T01:30:36.1615221Z auto tmp0 = in_ptr0[(100347 + i0) % 100352]; 2022-11-23T01:30:36.1615305Z out_ptr1[i0] = tmp0; 2022-11-23T01:30:36.1615369Z } 2022-11-23T01:30:36.1615433Z } 2022-11-23T01:30:36.1615495Z } 2022-11-23T01:30:36.1615545Z } 2022-11-23T01:30:36.1615603Z } 2022-11-23T01:30:36.1615684Z ''') 2022-11-23T01:30:36.1615688Z 2022-11-23T01:30:36.1615692Z 2022-11-23T01:30:36.1615780Z async_compile.wait(globals()) 2022-11-23T01:30:36.1615851Z del async_compile 2022-11-23T01:30:36.1615856Z 2022-11-23T01:30:36.1615926Z def call(args): 2022-11-23T01:30:36.1615994Z arg0_1, = args 2022-11-23T01:30:36.1616051Z args.clear() 2022-11-23T01:30:36.1616304Z buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1616503Z buf1 = empty_strided((100352, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1616666Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1616733Z del arg0_1 2022-11-23T01:30:36.1616847Z return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), ) 2022-11-23T01:30:36.1616852Z 2022-11-23T01:30:36.1616856Z 2022-11-23T01:30:36.1616930Z if __name__ == "__main__": 2022-11-23T01:30:36.1617042Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1617152Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1617373Z arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1617478Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1617482Z 2022-11-23T01:30:36.1617551Z ok (1.742s) 2022-11-23T01:30:36.1617874Z test_round_correctness_cpu (__main__.CpuTests) ... [2022-11-23 01:27:00,773] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1618192Z [2022-11-23 01:27:00,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1618410Z [2022-11-23 01:27:00,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1618662Z [2022-11-23 01:27:00,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1618940Z [2022-11-23 01:27:00,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1619258Z [2022-11-23 01:27:00,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1619592Z [2022-11-23 01:27:00,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1619916Z [2022-11-23 01:27:00,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1620291Z [2022-11-23 01:27:00,774] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1620387Z 1027 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1620480Z 2 LOAD_METHOD 1 (round) 2022-11-23T01:30:36.1620568Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1620657Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1620732Z 8 RETURN_VALUE 2022-11-23T01:30:36.1620780Z 2022-11-23T01:30:36.1620784Z 2022-11-23T01:30:36.1621100Z [2022-11-23 01:27:00,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1027 2022-11-23T01:30:36.1621345Z [2022-11-23 01:27:00,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1621714Z [2022-11-23 01:27:00,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable()] 2022-11-23T01:30:36.1622036Z [2022-11-23 01:27:00,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1622385Z [2022-11-23 01:27:00,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1622630Z [2022-11-23 01:27:00,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1623039Z [2022-11-23 01:27:00,778] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1623282Z [2022-11-23 01:27:00,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1623513Z [2022-11-23 01:27:00,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1623764Z [2022-11-23 01:27:00,779] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1623999Z [2022-11-23 01:27:00,782] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1624184Z [2022-11-23 01:27:00,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1624318Z __compiled_fn_346 .2893 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1624411Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1624640Z call_function, round_1, , (ex_0_,), {} 2022-11-23T01:30:36.1624740Z output, output, output, ((round_1,),), {} 2022-11-23T01:30:36.1624746Z 2022-11-23T01:30:36.1625069Z [2022-11-23 01:27:00,783] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1625161Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1625238Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1625325Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1625415Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1625500Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1625588Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1625664Z 12 RETURN_VALUE 2022-11-23T01:30:36.1625668Z 2022-11-23T01:30:36.1625728Z 2022-11-23T01:30:36.1626051Z [2022-11-23 01:27:00,783] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1626147Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_346) 2022-11-23T01:30:36.1626237Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1626327Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1626402Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1626490Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1626578Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1626652Z 12 RETURN_VALUE 2022-11-23T01:30:36.1626656Z 2022-11-23T01:30:36.1626703Z 2022-11-23T01:30:36.1626884Z [2022-11-23 01:27:00,784] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1626953Z - 2022-11-23T01:30:36.1627071Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1627134Z { 2022-11-23T01:30:36.1627273Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1627458Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1627601Z 'obj_weakref': None 2022-11-23T01:30:36.1627829Z 'guarded_class': 2022-11-23T01:30:36.1627892Z } 2022-11-23T01:30:36.1627955Z 2022-11-23T01:30:36.1628023Z - 2022-11-23T01:30:36.1628145Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1628208Z { 2022-11-23T01:30:36.1628337Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1628441Z 'code': None, 2022-11-23T01:30:36.1628651Z 'obj_weakref': 2022-11-23T01:30:36.1628903Z 'guarded_class': 2022-11-23T01:30:36.1628967Z } 2022-11-23T01:30:36.1629072Z 2022-11-23T01:30:36.1629140Z - 2022-11-23T01:30:36.1629258Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1629321Z { 2022-11-23T01:30:36.1629455Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1629622Z 'code': ['___check_obj_id(model, 140534729225072)'], 2022-11-23T01:30:36.1629739Z 'obj_weakref': None 2022-11-23T01:30:36.1629967Z 'guarded_class': 2022-11-23T01:30:36.1630029Z } 2022-11-23T01:30:36.1630080Z 2022-11-23T01:30:36.1630148Z - 2022-11-23T01:30:36.1630269Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1630331Z { 2022-11-23T01:30:36.1630465Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1630678Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1630794Z 'obj_weakref': None 2022-11-23T01:30:36.1631002Z 'guarded_class': 2022-11-23T01:30:36.1631065Z } 2022-11-23T01:30:36.1631129Z 2022-11-23T01:30:36.1631196Z - 2022-11-23T01:30:36.1631328Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1631391Z { 2022-11-23T01:30:36.1631510Z 'guard_types': None, 2022-11-23T01:30:36.1631603Z 'code': None, 2022-11-23T01:30:36.1631720Z 'obj_weakref': None 2022-11-23T01:30:36.1631840Z 'guarded_class': None 2022-11-23T01:30:36.1631905Z } 2022-11-23T01:30:36.1631967Z 2022-11-23T01:30:36.1632225Z [2022-11-23 01:27:00,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339 2022-11-23T01:30:36.1632594Z [2022-11-23 01:27:02,271] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/am/camh43rjoimsibppydnb2i4jz36fhlyzqbv2b4mjol4dw6andmbk.py 2022-11-23T01:30:36.1632849Z [2022-11-23 01:27:02,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339 2022-11-23T01:30:36.1632866Z 2022-11-23T01:30:36.1632949Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1633020Z import torch 2022-11-23T01:30:36.1633088Z import random 2022-11-23T01:30:36.1633202Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1633322Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1633327Z 2022-11-23T01:30:36.1633405Z aten = torch.ops.aten 2022-11-23T01:30:36.1633536Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1633616Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1633620Z 2022-11-23T01:30:36.1633638Z 2022-11-23T01:30:36.1633758Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1633963Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1634088Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.1634188Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.1634248Z { 2022-11-23T01:30:36.1634374Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1634438Z { 2022-11-23T01:30:36.1634502Z #pragma omp for 2022-11-23T01:30:36.1634585Z for(long i0=0; i0<200; i0+=1) 2022-11-23T01:30:36.1634647Z { 2022-11-23T01:30:36.1634709Z { 2022-11-23T01:30:36.1634773Z { 2022-11-23T01:30:36.1634864Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1634972Z auto tmp1 = std::nearbyint(tmp0); 2022-11-23T01:30:36.1635045Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.1635108Z } 2022-11-23T01:30:36.1635170Z } 2022-11-23T01:30:36.1635232Z } 2022-11-23T01:30:36.1635292Z } 2022-11-23T01:30:36.1635351Z } 2022-11-23T01:30:36.1635415Z ''') 2022-11-23T01:30:36.1635419Z 2022-11-23T01:30:36.1635463Z 2022-11-23T01:30:36.1635540Z async_compile.wait(globals()) 2022-11-23T01:30:36.1635611Z del async_compile 2022-11-23T01:30:36.1635616Z 2022-11-23T01:30:36.1635684Z def call(args): 2022-11-23T01:30:36.1635755Z arg0_1, = args 2022-11-23T01:30:36.1635825Z args.clear() 2022-11-23T01:30:36.1636018Z buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.1636151Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1636207Z del arg0_1 2022-11-23T01:30:36.1636277Z return (buf0, ) 2022-11-23T01:30:36.1636281Z 2022-11-23T01:30:36.1636285Z 2022-11-23T01:30:36.1636360Z if __name__ == "__main__": 2022-11-23T01:30:36.1636475Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1636597Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1636792Z arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.1636899Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1636907Z 2022-11-23T01:30:36.1636972Z ok (1.505s) 2022-11-23T01:30:36.1637262Z test_round_cpu (__main__.CpuTests) ... [2022-11-23 01:27:02,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1637579Z [2022-11-23 01:27:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1637796Z [2022-11-23 01:27:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1638050Z [2022-11-23 01:27:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1638327Z [2022-11-23 01:27:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1638646Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1638996Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1639320Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1639696Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1639791Z 1013 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1639872Z 2 LOAD_METHOD 1 (round) 2022-11-23T01:30:36.1639960Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1640119Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1640213Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1640306Z 10 LOAD_METHOD 1 (round) 2022-11-23T01:30:36.1640393Z 12 LOAD_FAST 1 (b) 2022-11-23T01:30:36.1640521Z 14 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1640583Z 16 BINARY_ADD 2022-11-23T01:30:36.1640671Z 18 CALL_METHOD 1 2022-11-23T01:30:36.1640763Z 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1640852Z 22 LOAD_ATTR 1 (round) 2022-11-23T01:30:36.1640939Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1641027Z 26 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1641182Z 28 LOAD_CONST 3 (('decimals',)) 2022-11-23T01:30:36.1641261Z 30 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.1641348Z 32 BUILD_TUPLE 3 2022-11-23T01:30:36.1641423Z 34 RETURN_VALUE 2022-11-23T01:30:36.1641484Z 2022-11-23T01:30:36.1641518Z 2022-11-23T01:30:36.1641835Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1013 2022-11-23T01:30:36.1642057Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1642424Z [2022-11-23 01:27:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable()] 2022-11-23T01:30:36.1642747Z [2022-11-23 01:27:02,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1643104Z [2022-11-23 01:27:02,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1643336Z [2022-11-23 01:27:02,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1643735Z [2022-11-23 01:27:02,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1644087Z [2022-11-23 01:27:02,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1644468Z [2022-11-23 01:27:02,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1644998Z [2022-11-23 01:27:02,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1645385Z [2022-11-23 01:27:02,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1645662Z [2022-11-23 01:27:02,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1646088Z [2022-11-23 01:27:02,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1646467Z [2022-11-23 01:27:02,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1646877Z [2022-11-23 01:27:02,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1647393Z [2022-11-23 01:27:02,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1647907Z [2022-11-23 01:27:02,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:36.1648204Z [2022-11-23 01:27:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1648449Z [2022-11-23 01:27:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1648826Z [2022-11-23 01:27:02,283] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1649111Z [2022-11-23 01:27:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1649344Z [2022-11-23 01:27:02,283] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1649597Z [2022-11-23 01:27:02,284] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1649845Z [2022-11-23 01:27:02,288] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1650035Z [2022-11-23 01:27:02,289] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1650168Z __compiled_fn_347 .2899 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1650259Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1650345Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1650562Z call_function, round_1, , (ex_0_,), {} 2022-11-23T01:30:36.1650739Z call_function, add, , (ex_1_, 1), {} 2022-11-23T01:30:36.1650971Z call_function, round_2, , (add,), {} 2022-11-23T01:30:36.1651220Z call_function, round_3, , (ex_0_,), {'decimals': 2} 2022-11-23T01:30:36.1651342Z output, output, output, ((round_1, round_2, round_3),), {} 2022-11-23T01:30:36.1651347Z 2022-11-23T01:30:36.1651674Z [2022-11-23 01:27:02,289] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1651767Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1651858Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1651945Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1652025Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1652111Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1652202Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1652281Z 12 RETURN_VALUE 2022-11-23T01:30:36.1652286Z 2022-11-23T01:30:36.1652347Z 2022-11-23T01:30:36.1652669Z [2022-11-23 01:27:02,289] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1652777Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_347) 2022-11-23T01:30:36.1652853Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1652943Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1653019Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1653106Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1653194Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1653268Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1653355Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1653447Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1653547Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1653665Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1653743Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1653847Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1653934Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1654009Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1654107Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1654181Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1654254Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1654342Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.1654416Z 38 RETURN_VALUE 2022-11-23T01:30:36.1654421Z 2022-11-23T01:30:36.1654482Z 2022-11-23T01:30:36.1654666Z [2022-11-23 01:27:02,290] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1654766Z - 2022-11-23T01:30:36.1654871Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1654936Z { 2022-11-23T01:30:36.1655077Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1655264Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.1655383Z 'obj_weakref': None 2022-11-23T01:30:36.1655607Z 'guarded_class': 2022-11-23T01:30:36.1655671Z } 2022-11-23T01:30:36.1655723Z 2022-11-23T01:30:36.1655792Z - 2022-11-23T01:30:36.1655914Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1655984Z { 2022-11-23T01:30:36.1656124Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1656230Z 'code': None, 2022-11-23T01:30:36.1656444Z 'obj_weakref': 2022-11-23T01:30:36.1656686Z 'guarded_class': 2022-11-23T01:30:36.1656755Z } 2022-11-23T01:30:36.1656818Z 2022-11-23T01:30:36.1656889Z - 2022-11-23T01:30:36.1657012Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1657075Z { 2022-11-23T01:30:36.1657216Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1657308Z 'code': None, 2022-11-23T01:30:36.1657519Z 'obj_weakref': 2022-11-23T01:30:36.1657771Z 'guarded_class': 2022-11-23T01:30:36.1657836Z } 2022-11-23T01:30:36.1657898Z 2022-11-23T01:30:36.1657967Z - 2022-11-23T01:30:36.1658097Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1658147Z { 2022-11-23T01:30:36.1658282Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1658450Z 'code': ['___check_obj_id(model, 140534623211520)'], 2022-11-23T01:30:36.1658572Z 'obj_weakref': None 2022-11-23T01:30:36.1658801Z 'guarded_class': 2022-11-23T01:30:36.1658864Z } 2022-11-23T01:30:36.1658927Z 2022-11-23T01:30:36.1658982Z - 2022-11-23T01:30:36.1659102Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1659163Z { 2022-11-23T01:30:36.1663726Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1663953Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1664077Z 'obj_weakref': None 2022-11-23T01:30:36.1664310Z 'guarded_class': 2022-11-23T01:30:36.1664382Z } 2022-11-23T01:30:36.1664447Z 2022-11-23T01:30:36.1664516Z - 2022-11-23T01:30:36.1664638Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1664703Z { 2022-11-23T01:30:36.1664888Z 'guard_types': None, 2022-11-23T01:30:36.1664998Z 'code': None, 2022-11-23T01:30:36.1665116Z 'obj_weakref': None 2022-11-23T01:30:36.1665237Z 'guarded_class': None 2022-11-23T01:30:36.1665288Z } 2022-11-23T01:30:36.1665353Z 2022-11-23T01:30:36.1665622Z [2022-11-23 01:27:02,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340 2022-11-23T01:30:36.1665997Z [2022-11-23 01:27:03,743] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vj/cvjrgenbguximo2wxa44af4h3pi5zliaaxd5nla5taa3gzyuqsei.py 2022-11-23T01:30:36.1666265Z [2022-11-23 01:27:03,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340 2022-11-23T01:30:36.1666302Z 2022-11-23T01:30:36.1666399Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1666468Z import torch 2022-11-23T01:30:36.1666536Z import random 2022-11-23T01:30:36.1666642Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1666763Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1666768Z 2022-11-23T01:30:36.1666847Z aten = torch.ops.aten 2022-11-23T01:30:36.1666980Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1667073Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1667079Z 2022-11-23T01:30:36.1667083Z 2022-11-23T01:30:36.1667217Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1667424Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1667544Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1667637Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.1667738Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1667835Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.1667931Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.1667993Z { 2022-11-23T01:30:36.1668094Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1668156Z { 2022-11-23T01:30:36.1668220Z #pragma omp for 2022-11-23T01:30:36.1668303Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1668365Z { 2022-11-23T01:30:36.1668505Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1668592Z auto tmp1 = tmp0.round(); 2022-11-23T01:30:36.1668727Z auto tmp2 = at::vec::Vectorized(static_cast(100.0)); 2022-11-23T01:30:36.1668812Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:30:36.1668896Z auto tmp4 = tmp3.round(); 2022-11-23T01:30:36.1669017Z auto tmp5 = at::vec::Vectorized(static_cast(0.01)); 2022-11-23T01:30:36.1669105Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.1669195Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1669287Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1669351Z } 2022-11-23T01:30:36.1669445Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1669526Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1669574Z { 2022-11-23T01:30:36.1669657Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1669759Z auto tmp1 = std::nearbyint(tmp0); 2022-11-23T01:30:36.1669861Z auto tmp2 = static_cast(100.0); 2022-11-23T01:30:36.1669944Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:30:36.1670043Z auto tmp4 = std::nearbyint(tmp3); 2022-11-23T01:30:36.1670144Z auto tmp5 = static_cast(0.01); 2022-11-23T01:30:36.1670213Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.1670292Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.1670372Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:36.1670434Z } 2022-11-23T01:30:36.1670509Z #pragma omp for 2022-11-23T01:30:36.1670589Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1670685Z { 2022-11-23T01:30:36.1670805Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.1670936Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.1671020Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1671105Z auto tmp3 = tmp2.round(); 2022-11-23T01:30:36.1671196Z tmp3.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.1671259Z } 2022-11-23T01:30:36.1671352Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1671420Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1671481Z { 2022-11-23T01:30:36.1671564Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.1671663Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.1671777Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.1671879Z auto tmp3 = std::nearbyint(tmp2); 2022-11-23T01:30:36.1671959Z out_ptr2[i0] = tmp3; 2022-11-23T01:30:36.1672010Z } 2022-11-23T01:30:36.1672071Z } 2022-11-23T01:30:36.1672132Z } 2022-11-23T01:30:36.1672210Z ''') 2022-11-23T01:30:36.1672215Z 2022-11-23T01:30:36.1672219Z 2022-11-23T01:30:36.1672308Z async_compile.wait(globals()) 2022-11-23T01:30:36.1672381Z del async_compile 2022-11-23T01:30:36.1672386Z 2022-11-23T01:30:36.1672456Z def call(args): 2022-11-23T01:30:36.1672518Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1672590Z args.clear() 2022-11-23T01:30:36.1672786Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1672976Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1673164Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1673375Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1673448Z del arg0_1 2022-11-23T01:30:36.1673516Z del arg1_1 2022-11-23T01:30:36.1673586Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.1673591Z 2022-11-23T01:30:36.1673595Z 2022-11-23T01:30:36.1673671Z if __name__ == "__main__": 2022-11-23T01:30:36.1673786Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1673910Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1674103Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1674297Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1674411Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1674416Z 2022-11-23T01:30:36.1674484Z ok (1.472s) 2022-11-23T01:30:36.1674772Z test_rsqrt_cpu (__main__.CpuTests) ... [2022-11-23 01:27:03,748] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1675097Z [2022-11-23 01:27:03,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1675315Z [2022-11-23 01:27:03,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1675571Z [2022-11-23 01:27:03,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1675848Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1676165Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1676514Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1676867Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1677247Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1677343Z 2639 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1677423Z 2 LOAD_METHOD 1 (rsqrt) 2022-11-23T01:30:36.1677512Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1677600Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1677693Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1677783Z 10 LOAD_METHOD 1 (rsqrt) 2022-11-23T01:30:36.1677873Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1677960Z 14 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1678047Z 16 BINARY_ADD 2022-11-23T01:30:36.1678134Z 18 CALL_METHOD 1 2022-11-23T01:30:36.1678226Z 20 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1678307Z 22 BINARY_SUBTRACT 2022-11-23T01:30:36.1678395Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1678471Z 26 RETURN_VALUE 2022-11-23T01:30:36.1678531Z 2022-11-23T01:30:36.1678536Z 2022-11-23T01:30:36.1678853Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2639 2022-11-23T01:30:36.1679059Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1679425Z [2022-11-23 01:27:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable()] 2022-11-23T01:30:36.1679751Z [2022-11-23 01:27:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.1680189Z [2022-11-23 01:27:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1680443Z [2022-11-23 01:27:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1680843Z [2022-11-23 01:27:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1681198Z [2022-11-23 01:27:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1681578Z [2022-11-23 01:27:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1682004Z [2022-11-23 01:27:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1682389Z [2022-11-23 01:27:03,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1682656Z [2022-11-23 01:27:03,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1682974Z [2022-11-23 01:27:03,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1683228Z [2022-11-23 01:27:03,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1683513Z [2022-11-23 01:27:03,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1683895Z [2022-11-23 01:27:03,754] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1684140Z [2022-11-23 01:27:03,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1684375Z [2022-11-23 01:27:03,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1684629Z [2022-11-23 01:27:03,755] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1685047Z [2022-11-23 01:27:03,759] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1685303Z [2022-11-23 01:27:03,759] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1685438Z __compiled_fn_348 .2905 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1685518Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1685748Z call_function, rsqrt, , (ex_0_,), {} 2022-11-23T01:30:36.1685918Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.1686145Z call_function, rsqrt_1, , (add,), {} 2022-11-23T01:30:36.1686321Z call_function, sub, , (rsqrt_1, 2), {} 2022-11-23T01:30:36.1686426Z output, output, output, ((rsqrt, sub),), {} 2022-11-23T01:30:36.1686432Z 2022-11-23T01:30:36.1686758Z [2022-11-23 01:27:03,760] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1686852Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1686944Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1687018Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1687112Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1687200Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1687293Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1687371Z 12 RETURN_VALUE 2022-11-23T01:30:36.1687376Z 2022-11-23T01:30:36.1687436Z 2022-11-23T01:30:36.1687757Z [2022-11-23 01:27:03,760] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1687853Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_348) 2022-11-23T01:30:36.1687942Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1688032Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1688109Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1688199Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.1688301Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1688406Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1688481Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1688561Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.1688661Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1688750Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1688826Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.1688914Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1688987Z 26 RETURN_VALUE 2022-11-23T01:30:36.1688992Z 2022-11-23T01:30:36.1689055Z 2022-11-23T01:30:36.1689225Z [2022-11-23 01:27:03,760] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1689297Z - 2022-11-23T01:30:36.1689416Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1689483Z { 2022-11-23T01:30:36.1689623Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1689811Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.1689967Z 'obj_weakref': None 2022-11-23T01:30:36.1690184Z 'guarded_class': 2022-11-23T01:30:36.1690251Z } 2022-11-23T01:30:36.1690314Z 2022-11-23T01:30:36.1690383Z - 2022-11-23T01:30:36.1690508Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1690571Z { 2022-11-23T01:30:36.1690713Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1690805Z 'code': None, 2022-11-23T01:30:36.1691016Z 'obj_weakref': 2022-11-23T01:30:36.1691271Z 'guarded_class': 2022-11-23T01:30:36.1691365Z } 2022-11-23T01:30:36.1691429Z 2022-11-23T01:30:36.1691498Z - 2022-11-23T01:30:36.1691629Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1691682Z { 2022-11-23T01:30:36.1691816Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1691989Z 'code': ['___check_obj_id(model, 140534431372272)'], 2022-11-23T01:30:36.1692113Z 'obj_weakref': None 2022-11-23T01:30:36.1692345Z 'guarded_class': 2022-11-23T01:30:36.1692410Z } 2022-11-23T01:30:36.1692475Z 2022-11-23T01:30:36.1692531Z - 2022-11-23T01:30:36.1692651Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1692715Z { 2022-11-23T01:30:36.1692849Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1693066Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1693189Z 'obj_weakref': None 2022-11-23T01:30:36.1693412Z 'guarded_class': 2022-11-23T01:30:36.1693465Z } 2022-11-23T01:30:36.1693529Z 2022-11-23T01:30:36.1693597Z - 2022-11-23T01:30:36.1693730Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1693795Z { 2022-11-23T01:30:36.1693915Z 'guard_types': None, 2022-11-23T01:30:36.1694008Z 'code': None, 2022-11-23T01:30:36.1694127Z 'obj_weakref': None 2022-11-23T01:30:36.1694247Z 'guarded_class': None 2022-11-23T01:30:36.1694310Z } 2022-11-23T01:30:36.1694373Z 2022-11-23T01:30:36.1694638Z [2022-11-23 01:27:03,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341 2022-11-23T01:30:36.1695010Z [2022-11-23 01:27:05,233] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3o/c3oqzuemnu7ytfaayjed6lkzgkrb2h33bw6wnjtagl2qdx5kyjk5.py 2022-11-23T01:30:36.1695279Z [2022-11-23 01:27:05,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341 2022-11-23T01:30:36.1695284Z 2022-11-23T01:30:36.1695366Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1695434Z import torch 2022-11-23T01:30:36.1695503Z import random 2022-11-23T01:30:36.1695617Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1695739Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1695744Z 2022-11-23T01:30:36.1695823Z aten = torch.ops.aten 2022-11-23T01:30:36.1695955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1696047Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1696052Z 2022-11-23T01:30:36.1696057Z 2022-11-23T01:30:36.1696179Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1696383Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1696506Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1696609Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1696740Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1696803Z { 2022-11-23T01:30:36.1696903Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1696952Z { 2022-11-23T01:30:36.1697031Z #pragma omp for 2022-11-23T01:30:36.1697113Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1697177Z { 2022-11-23T01:30:36.1697313Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1697399Z auto tmp1 = tmp0.sqrt(); 2022-11-23T01:30:36.1697497Z auto tmp2 = tmp1.reciprocal(); 2022-11-23T01:30:36.1697628Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.1697698Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:36.1697780Z auto tmp5 = tmp4.sqrt(); 2022-11-23T01:30:36.1697906Z auto tmp6 = tmp5.reciprocal(); 2022-11-23T01:30:36.1698034Z auto tmp7 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.1698162Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:30:36.1698253Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1698344Z tmp8.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.1698394Z } 2022-11-23T01:30:36.1698490Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1698573Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.1698636Z { 2022-11-23T01:30:36.1698721Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1698810Z auto tmp1 = std::sqrt(tmp0); 2022-11-23T01:30:36.1698890Z auto tmp2 = 1 / tmp1; 2022-11-23T01:30:36.1698975Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.1699058Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:36.1699146Z auto tmp5 = std::sqrt(tmp4); 2022-11-23T01:30:36.1699229Z auto tmp6 = 1 / tmp5; 2022-11-23T01:30:36.1699326Z auto tmp7 = static_cast(2); 2022-11-23T01:30:36.1699448Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:30:36.1699529Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.1699594Z out_ptr1[i0] = tmp8; 2022-11-23T01:30:36.1699656Z } 2022-11-23T01:30:36.1699719Z } 2022-11-23T01:30:36.1699780Z } 2022-11-23T01:30:36.1699858Z ''') 2022-11-23T01:30:36.1699863Z 2022-11-23T01:30:36.1699867Z 2022-11-23T01:30:36.1699957Z async_compile.wait(globals()) 2022-11-23T01:30:36.1700029Z del async_compile 2022-11-23T01:30:36.1700034Z 2022-11-23T01:30:36.1700090Z def call(args): 2022-11-23T01:30:36.1700161Z arg0_1, = args 2022-11-23T01:30:36.1700231Z args.clear() 2022-11-23T01:30:36.1700424Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1700613Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1700780Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1700849Z del arg0_1 2022-11-23T01:30:36.1700915Z return (buf0, buf1, ) 2022-11-23T01:30:36.1700920Z 2022-11-23T01:30:36.1700938Z 2022-11-23T01:30:36.1701000Z if __name__ == "__main__": 2022-11-23T01:30:36.1701113Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1701235Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1701428Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1701535Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.1701539Z 2022-11-23T01:30:36.1701606Z ok (1.489s) 2022-11-23T01:30:36.1701914Z test_scatter1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1702231Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1702436Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1702719Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1703001Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1703319Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1703664Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1703990Z [2022-11-23 01:27:05,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1704410Z [2022-11-23 01:27:05,240] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1704508Z 3670 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1704605Z 2 LOAD_METHOD 1 (scatter) 2022-11-23T01:30:36.1704681Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1704773Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1704863Z 8 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1704950Z 10 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1705040Z 12 CALL_METHOD 4 2022-11-23T01:30:36.1705118Z 14 RETURN_VALUE 2022-11-23T01:30:36.1705180Z 2022-11-23T01:30:36.1705184Z 2022-11-23T01:30:36.1705499Z [2022-11-23 01:27:05,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3670 2022-11-23T01:30:36.1705705Z [2022-11-23 01:27:05,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1706017Z [2022-11-23 01:27:05,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:30:36.1706274Z [2022-11-23 01:27:05,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)] 2022-11-23T01:30:36.1706560Z [2022-11-23 01:27:05,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()] 2022-11-23T01:30:36.1706884Z [2022-11-23 01:27:05,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1707232Z [2022-11-23 01:27:05,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1707622Z [2022-11-23 01:27:05,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1707871Z [2022-11-23 01:27:05,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1708255Z [2022-11-23 01:27:05,247] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1708497Z [2022-11-23 01:27:05,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1708729Z [2022-11-23 01:27:05,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1708969Z [2022-11-23 01:27:05,248] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1709223Z [2022-11-23 01:27:05,251] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1709439Z [2022-11-23 01:27:05,251] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1709577Z __compiled_fn_349 .2911 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1709667Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1709754Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1709837Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.1710020Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {} 2022-11-23T01:30:36.1710108Z output, output, output, ((scatter,),), {} 2022-11-23T01:30:36.1710113Z 2022-11-23T01:30:36.1710438Z [2022-11-23 01:27:05,252] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1710532Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1710653Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1710740Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1710834Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1710920Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1711008Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1711071Z 12 RETURN_VALUE 2022-11-23T01:30:36.1711076Z 2022-11-23T01:30:36.1711138Z 2022-11-23T01:30:36.1711460Z [2022-11-23 01:27:05,252] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1711569Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_349) 2022-11-23T01:30:36.1711659Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1711748Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1711824Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1711899Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1711990Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1712067Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1712159Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1712248Z 16 LOAD_CONST 3 (3) 2022-11-23T01:30:36.1712324Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1712410Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1712488Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1712562Z 24 RETURN_VALUE 2022-11-23T01:30:36.1712567Z 2022-11-23T01:30:36.1712629Z 2022-11-23T01:30:36.1712811Z [2022-11-23 01:27:05,253] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1712880Z - 2022-11-23T01:30:36.1712998Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1713062Z { 2022-11-23T01:30:36.1713187Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1713372Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1713492Z 'obj_weakref': None 2022-11-23T01:30:36.1713720Z 'guarded_class': 2022-11-23T01:30:36.1713786Z } 2022-11-23T01:30:36.1713852Z 2022-11-23T01:30:36.1713921Z - 2022-11-23T01:30:36.1714031Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1714094Z { 2022-11-23T01:30:36.1714236Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1714341Z 'code': None, 2022-11-23T01:30:36.1714550Z 'obj_weakref': 2022-11-23T01:30:36.1714803Z 'guarded_class': 2022-11-23T01:30:36.1714867Z } 2022-11-23T01:30:36.1714931Z 2022-11-23T01:30:36.1714986Z - 2022-11-23T01:30:36.1715119Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1715182Z { 2022-11-23T01:30:36.1715324Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1715566Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == -1'], 2022-11-23T01:30:36.1715686Z 'obj_weakref': None 2022-11-23T01:30:36.1715905Z 'guarded_class': 2022-11-23T01:30:36.1715956Z } 2022-11-23T01:30:36.1716022Z 2022-11-23T01:30:36.1716091Z - 2022-11-23T01:30:36.1716213Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1716281Z { 2022-11-23T01:30:36.1716422Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1716515Z 'code': None, 2022-11-23T01:30:36.1716724Z 'obj_weakref': 2022-11-23T01:30:36.1716976Z 'guarded_class': 2022-11-23T01:30:36.1717069Z } 2022-11-23T01:30:36.1717134Z 2022-11-23T01:30:36.1717205Z - 2022-11-23T01:30:36.1717329Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.1717379Z { 2022-11-23T01:30:36.1717521Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1717628Z 'code': None, 2022-11-23T01:30:36.1717840Z 'obj_weakref': 2022-11-23T01:30:36.1718090Z 'guarded_class': 2022-11-23T01:30:36.1718154Z } 2022-11-23T01:30:36.1718217Z 2022-11-23T01:30:36.1718274Z - 2022-11-23T01:30:36.1718404Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1718467Z { 2022-11-23T01:30:36.1718600Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1718774Z 'code': ['___check_obj_id(model, 140534625219440)'], 2022-11-23T01:30:36.1718890Z 'obj_weakref': None 2022-11-23T01:30:36.1719120Z 'guarded_class': 2022-11-23T01:30:36.1719186Z } 2022-11-23T01:30:36.1719236Z 2022-11-23T01:30:36.1719304Z - 2022-11-23T01:30:36.1719425Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1719492Z { 2022-11-23T01:30:36.1719625Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1719842Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1719946Z 'obj_weakref': None 2022-11-23T01:30:36.1720259Z 'guarded_class': 2022-11-23T01:30:36.1720326Z } 2022-11-23T01:30:36.1720391Z 2022-11-23T01:30:36.1720465Z - 2022-11-23T01:30:36.1720601Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1720665Z { 2022-11-23T01:30:36.1720771Z 'guard_types': None, 2022-11-23T01:30:36.1720885Z 'code': None, 2022-11-23T01:30:36.1721000Z 'obj_weakref': None 2022-11-23T01:30:36.1721122Z 'guarded_class': None 2022-11-23T01:30:36.1721185Z } 2022-11-23T01:30:36.1721250Z 2022-11-23T01:30:36.1721513Z [2022-11-23 01:27:05,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342 2022-11-23T01:30:36.1721868Z [2022-11-23 01:27:06,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u2/cu2zhkwutyettpsvbls2tr35gx3rmxaosnluy4s552ivc26hc2hj.py 2022-11-23T01:30:36.1722133Z [2022-11-23 01:27:06,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342 2022-11-23T01:30:36.1722139Z 2022-11-23T01:30:36.1722232Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1722304Z import torch 2022-11-23T01:30:36.1722378Z import random 2022-11-23T01:30:36.1722492Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1722646Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1722652Z 2022-11-23T01:30:36.1722731Z aten = torch.ops.aten 2022-11-23T01:30:36.1722851Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1722944Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1722949Z 2022-11-23T01:30:36.1722953Z 2022-11-23T01:30:36.1723087Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1723293Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1723412Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1723520Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1723626Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1723724Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1723800Z { 2022-11-23T01:30:36.1723898Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1723960Z { 2022-11-23T01:30:36.1724040Z #pragma omp for 2022-11-23T01:30:36.1724121Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:36.1724184Z { 2022-11-23T01:30:36.1724249Z { 2022-11-23T01:30:36.1724301Z { 2022-11-23T01:30:36.1724393Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1724478Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1724543Z } 2022-11-23T01:30:36.1724607Z } 2022-11-23T01:30:36.1724670Z } 2022-11-23T01:30:36.1724944Z #pragma omp single 2022-11-23T01:30:36.1724996Z { 2022-11-23T01:30:36.1725060Z { 2022-11-23T01:30:36.1725125Z { 2022-11-23T01:30:36.1725217Z auto tmp0 = in_ptr1[0]; 2022-11-23T01:30:36.1725306Z auto tmp1 = in_ptr2[0]; 2022-11-23T01:30:36.1725397Z out_ptr0[tmp0] = tmp1; 2022-11-23T01:30:36.1725447Z } 2022-11-23T01:30:36.1725512Z } 2022-11-23T01:30:36.1725575Z } 2022-11-23T01:30:36.1725639Z } 2022-11-23T01:30:36.1725700Z } 2022-11-23T01:30:36.1725781Z ''') 2022-11-23T01:30:36.1725786Z 2022-11-23T01:30:36.1725790Z 2022-11-23T01:30:36.1725879Z async_compile.wait(globals()) 2022-11-23T01:30:36.1725938Z del async_compile 2022-11-23T01:30:36.1725956Z 2022-11-23T01:30:36.1726014Z def call(args): 2022-11-23T01:30:36.1726096Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1726168Z args.clear() 2022-11-23T01:30:36.1726365Z buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1726556Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1726628Z del arg0_1 2022-11-23T01:30:36.1726694Z del arg1_1 2022-11-23T01:30:36.1726750Z del arg2_1 2022-11-23T01:30:36.1726821Z return (buf0, ) 2022-11-23T01:30:36.1726826Z 2022-11-23T01:30:36.1726830Z 2022-11-23T01:30:36.1726907Z if __name__ == "__main__": 2022-11-23T01:30:36.1727025Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1727149Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1727345Z arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1727535Z arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1727710Z arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1727835Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1727839Z 2022-11-23T01:30:36.1727905Z ok (1.578s) 2022-11-23T01:30:36.1728213Z test_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1728536Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1728804Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1729063Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1729342Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1729662Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1730011Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1730320Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1730742Z [2022-11-23 01:27:06,818] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1730839Z 3687 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1730936Z 2 LOAD_ATTR 1 (scatter) 2022-11-23T01:30:36.1731030Z 4 LOAD_ATTR 2 (reduce) 2022-11-23T01:30:36.1731122Z 6 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1731214Z 8 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1731306Z 10 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1731381Z 12 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1731520Z 14 LOAD_CONST 1 ('add') 2022-11-23T01:30:36.1731671Z 16 LOAD_CONST 2 (('reduce',)) 2022-11-23T01:30:36.1731764Z 18 CALL_FUNCTION_KW 5 2022-11-23T01:30:36.1731843Z 20 RETURN_VALUE 2022-11-23T01:30:36.1731904Z 2022-11-23T01:30:36.1731911Z 2022-11-23T01:30:36.1732225Z [2022-11-23 01:27:06,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3687 2022-11-23T01:30:36.1732442Z [2022-11-23 01:27:06,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1732736Z [2022-11-23 01:27:06,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:30:36.1732996Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reduce [TorchVariable(aten.scatter)] 2022-11-23T01:30:36.1733266Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter.reduce)] 2022-11-23T01:30:36.1733571Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter.reduce), TensorVariable()] 2022-11-23T01:30:36.1733912Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1734279Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1734677Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1735127Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:36.1735645Z [2022-11-23 01:27:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:36.1735896Z [2022-11-23 01:27:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1736278Z [2022-11-23 01:27:06,827] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1736528Z [2022-11-23 01:27:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1736751Z [2022-11-23 01:27:06,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1737008Z [2022-11-23 01:27:06,828] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1737289Z [2022-11-23 01:27:06,831] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1737480Z [2022-11-23 01:27:06,831] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1737614Z __compiled_fn_350 .2917 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1737703Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1737789Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1737874Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.1738093Z call_function, scatter_reduce, aten.scatter.reduce, (ex_0_, 0, ex_2_, ex_3_), {'reduce': 'add'} 2022-11-23T01:30:36.1738206Z output, output, output, ((scatter_reduce,),), {} 2022-11-23T01:30:36.1738211Z 2022-11-23T01:30:36.1738537Z [2022-11-23 01:27:06,831] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1738634Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1738724Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1738813Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1738907Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1738992Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1739066Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1739142Z 12 RETURN_VALUE 2022-11-23T01:30:36.1739146Z 2022-11-23T01:30:36.1739209Z 2022-11-23T01:30:36.1739538Z [2022-11-23 01:27:06,831] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1739647Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_350) 2022-11-23T01:30:36.1739737Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1739827Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1739906Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1739981Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1740068Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1740146Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1740233Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1740320Z 16 LOAD_CONST 3 (3) 2022-11-23T01:30:36.1740394Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1740481Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1740558Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1740633Z 24 RETURN_VALUE 2022-11-23T01:30:36.1740638Z 2022-11-23T01:30:36.1740698Z 2022-11-23T01:30:36.1740879Z [2022-11-23 01:27:06,832] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1740953Z - 2022-11-23T01:30:36.1741073Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1741136Z { 2022-11-23T01:30:36.1741262Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1741448Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1741568Z 'obj_weakref': None 2022-11-23T01:30:36.1741819Z 'guarded_class': 2022-11-23T01:30:36.1741886Z } 2022-11-23T01:30:36.1741950Z 2022-11-23T01:30:36.1742021Z - 2022-11-23T01:30:36.1742131Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1742196Z { 2022-11-23T01:30:36.1742338Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1742444Z 'code': None, 2022-11-23T01:30:36.1742655Z 'obj_weakref': 2022-11-23T01:30:36.1742907Z 'guarded_class': 2022-11-23T01:30:36.1742970Z } 2022-11-23T01:30:36.1743020Z 2022-11-23T01:30:36.1743121Z - 2022-11-23T01:30:36.1743254Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1743317Z { 2022-11-23T01:30:36.1743461Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1743648Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 0'], 2022-11-23T01:30:36.1743767Z 'obj_weakref': None 2022-11-23T01:30:36.1743974Z 'guarded_class': 2022-11-23T01:30:36.1744042Z } 2022-11-23T01:30:36.1744105Z 2022-11-23T01:30:36.1744173Z - 2022-11-23T01:30:36.1744296Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1744359Z { 2022-11-23T01:30:36.1744501Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1744594Z 'code': None, 2022-11-23T01:30:36.1744802Z 'obj_weakref': 2022-11-23T01:30:36.1745058Z 'guarded_class': 2022-11-23T01:30:36.1745121Z } 2022-11-23T01:30:36.1745188Z 2022-11-23T01:30:36.1745257Z - 2022-11-23T01:30:36.1745378Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.1745429Z { 2022-11-23T01:30:36.1745570Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1745674Z 'code': None, 2022-11-23T01:30:36.1745886Z 'obj_weakref': 2022-11-23T01:30:36.1746138Z 'guarded_class': 2022-11-23T01:30:36.1746202Z } 2022-11-23T01:30:36.1746265Z 2022-11-23T01:30:36.1746320Z - 2022-11-23T01:30:36.1746451Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1746516Z { 2022-11-23T01:30:36.1746654Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1746822Z 'code': ['___check_obj_id(model, 140534431383360)'], 2022-11-23T01:30:36.1746940Z 'obj_weakref': None 2022-11-23T01:30:36.1747173Z 'guarded_class': 2022-11-23T01:30:36.1747224Z } 2022-11-23T01:30:36.1747288Z 2022-11-23T01:30:36.1747356Z - 2022-11-23T01:30:36.1747477Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1747541Z { 2022-11-23T01:30:36.1747679Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1747894Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1747999Z 'obj_weakref': None 2022-11-23T01:30:36.1748220Z 'guarded_class': 2022-11-23T01:30:36.1748283Z } 2022-11-23T01:30:36.1748350Z 2022-11-23T01:30:36.1748417Z - 2022-11-23T01:30:36.1748547Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1748612Z { 2022-11-23T01:30:36.1748745Z 'guard_types': None, 2022-11-23T01:30:36.1748854Z 'code': None, 2022-11-23T01:30:36.1748971Z 'obj_weakref': None 2022-11-23T01:30:36.1749092Z 'guarded_class': None 2022-11-23T01:30:36.1749155Z } 2022-11-23T01:30:36.1749219Z 2022-11-23T01:30:36.1749480Z [2022-11-23 01:27:06,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343 2022-11-23T01:30:36.1749833Z [2022-11-23 01:27:08,273] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ra/crahd6hlrzl742jd6dv5kl3h2abxrahzcrkxvfwiss7tnnbqk2wi.py 2022-11-23T01:30:36.1750098Z [2022-11-23 01:27:08,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343 2022-11-23T01:30:36.1750104Z 2022-11-23T01:30:36.1750236Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1750306Z import torch 2022-11-23T01:30:36.1750376Z import random 2022-11-23T01:30:36.1750496Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1750616Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1750621Z 2022-11-23T01:30:36.1750700Z aten = torch.ops.aten 2022-11-23T01:30:36.1750821Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1750913Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1750918Z 2022-11-23T01:30:36.1750923Z 2022-11-23T01:30:36.1751056Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1751265Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1751386Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1751491Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1751594Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1751698Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1751746Z { 2022-11-23T01:30:36.1751846Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1751911Z { 2022-11-23T01:30:36.1751993Z #pragma omp for 2022-11-23T01:30:36.1752077Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:30:36.1752141Z { 2022-11-23T01:30:36.1752279Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1752357Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1752421Z } 2022-11-23T01:30:36.1752515Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1752606Z for(long i0=32768; i0<32768; i0+=1) 2022-11-23T01:30:36.1752670Z { 2022-11-23T01:30:36.1752755Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1752837Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1752886Z } 2022-11-23T01:30:36.1752962Z #pragma omp for 2022-11-23T01:30:36.1753045Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.1753107Z { 2022-11-23T01:30:36.1753187Z #pragma GCC ivdep 2022-11-23T01:30:36.1753274Z for(long i1=0; i1<512; i1+=1) 2022-11-23T01:30:36.1753326Z { 2022-11-23T01:30:36.1753391Z { 2022-11-23T01:30:36.1753458Z { 2022-11-23T01:30:36.1753561Z auto tmp0 = in_ptr1[i1 + (512*i0)]; 2022-11-23T01:30:36.1753663Z auto tmp1 = in_ptr2[i1 + (512*i0)]; 2022-11-23T01:30:36.1753776Z atomic_add(&out_ptr0[i1 + (512*tmp0)], tmp1); 2022-11-23T01:30:36.1753844Z } 2022-11-23T01:30:36.1753896Z } 2022-11-23T01:30:36.1753961Z } 2022-11-23T01:30:36.1754025Z } 2022-11-23T01:30:36.1754088Z } 2022-11-23T01:30:36.1754149Z } 2022-11-23T01:30:36.1754229Z ''') 2022-11-23T01:30:36.1754234Z 2022-11-23T01:30:36.1754238Z 2022-11-23T01:30:36.1754326Z async_compile.wait(globals()) 2022-11-23T01:30:36.1754388Z del async_compile 2022-11-23T01:30:36.1754408Z 2022-11-23T01:30:36.1754466Z def call(args): 2022-11-23T01:30:36.1754557Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1754660Z args.clear() 2022-11-23T01:30:36.1754854Z buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1755046Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1755114Z del arg0_1 2022-11-23T01:30:36.1755180Z del arg1_1 2022-11-23T01:30:36.1755244Z del arg2_1 2022-11-23T01:30:36.1755315Z return (buf0, ) 2022-11-23T01:30:36.1755320Z 2022-11-23T01:30:36.1755325Z 2022-11-23T01:30:36.1755399Z if __name__ == "__main__": 2022-11-23T01:30:36.1755514Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1755624Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1755826Z arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1756053Z arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1756256Z arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1756377Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1756382Z 2022-11-23T01:30:36.1756447Z ok (1.463s) 2022-11-23T01:30:36.1756751Z test_scatter3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1757066Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1757283Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1757522Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1757800Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1758121Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1758464Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1758784Z [2022-11-23 01:27:08,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1759157Z [2022-11-23 01:27:08,281] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1759253Z 3701 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1759353Z 2 LOAD_ATTR 1 (scatter) 2022-11-23T01:30:36.1759442Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1759523Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1759613Z 8 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1759700Z 10 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1759839Z 12 LOAD_CONST 1 ('add') 2022-11-23T01:30:36.1760073Z 14 LOAD_CONST 2 (('reduce',)) 2022-11-23T01:30:36.1760178Z 16 CALL_FUNCTION_KW 5 2022-11-23T01:30:36.1760256Z 18 RETURN_VALUE 2022-11-23T01:30:36.1760304Z 2022-11-23T01:30:36.1760325Z 2022-11-23T01:30:36.1760632Z [2022-11-23 01:27:08,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3701 2022-11-23T01:30:36.1760849Z [2022-11-23 01:27:08,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1761196Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:30:36.1761455Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)] 2022-11-23T01:30:36.1761739Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()] 2022-11-23T01:30:36.1762065Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1762409Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1762799Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.1763274Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)] 2022-11-23T01:30:36.1763757Z [2022-11-23 01:27:08,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:30:36.1764005Z [2022-11-23 01:27:08,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1764375Z [2022-11-23 01:27:08,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1764623Z [2022-11-23 01:27:08,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1764974Z [2022-11-23 01:27:08,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1765232Z [2022-11-23 01:27:08,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1765482Z [2022-11-23 01:27:08,292] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1765669Z [2022-11-23 01:27:08,292] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1765803Z __compiled_fn_351 .2923 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1765892Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1765978Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1766166Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'} 2022-11-23T01:30:36.1766271Z output, output, output, ((scatter,),), {} 2022-11-23T01:30:36.1766276Z 2022-11-23T01:30:36.1766601Z [2022-11-23 01:27:08,293] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1766695Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1766784Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1766870Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1766961Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1767047Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1767123Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1767198Z 12 RETURN_VALUE 2022-11-23T01:30:36.1767203Z 2022-11-23T01:30:36.1767264Z 2022-11-23T01:30:36.1767583Z [2022-11-23 01:27:08,293] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1767692Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_351) 2022-11-23T01:30:36.1767779Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1767914Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1767980Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1768069Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1768155Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1768230Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1768318Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.1768408Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1768483Z 18 RETURN_VALUE 2022-11-23T01:30:36.1768488Z 2022-11-23T01:30:36.1768550Z 2022-11-23T01:30:36.1768719Z [2022-11-23 01:27:08,294] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1768789Z - 2022-11-23T01:30:36.1768907Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1769007Z { 2022-11-23T01:30:36.1769146Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1769333Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1769452Z 'obj_weakref': None 2022-11-23T01:30:36.1769666Z 'guarded_class': 2022-11-23T01:30:36.1769731Z } 2022-11-23T01:30:36.1769794Z 2022-11-23T01:30:36.1769863Z - 2022-11-23T01:30:36.1769985Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1770048Z { 2022-11-23T01:30:36.1770177Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1770282Z 'code': None, 2022-11-23T01:30:36.1770493Z 'obj_weakref': 2022-11-23T01:30:36.1770744Z 'guarded_class': 2022-11-23T01:30:36.1770814Z } 2022-11-23T01:30:36.1770878Z 2022-11-23T01:30:36.1770946Z - 2022-11-23T01:30:36.1771075Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1771128Z { 2022-11-23T01:30:36.1771270Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1771457Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 2'], 2022-11-23T01:30:36.1771577Z 'obj_weakref': None 2022-11-23T01:30:36.1771795Z 'guarded_class': 2022-11-23T01:30:36.1771859Z } 2022-11-23T01:30:36.1771921Z 2022-11-23T01:30:36.1771976Z - 2022-11-23T01:30:36.1772099Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1772163Z { 2022-11-23T01:30:36.1772304Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1772410Z 'code': None, 2022-11-23T01:30:36.1772622Z 'obj_weakref': 2022-11-23T01:30:36.1772877Z 'guarded_class': 2022-11-23T01:30:36.1772928Z } 2022-11-23T01:30:36.1772990Z 2022-11-23T01:30:36.1773059Z - 2022-11-23T01:30:36.1773187Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:30:36.1773250Z { 2022-11-23T01:30:36.1773390Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1773576Z 'code': ['___check_type_id(ex[3], 94427249898528)', 'ex[3] == 0.8'], 2022-11-23T01:30:36.1773681Z 'obj_weakref': None 2022-11-23T01:30:36.1773901Z 'guarded_class': 2022-11-23T01:30:36.1773964Z } 2022-11-23T01:30:36.1774026Z 2022-11-23T01:30:36.1774093Z - 2022-11-23T01:30:36.1774222Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1774287Z { 2022-11-23T01:30:36.1774408Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1774605Z 'code': ['___check_obj_id(model, 140534623214544)'], 2022-11-23T01:30:36.1774729Z 'obj_weakref': None 2022-11-23T01:30:36.1774958Z 'guarded_class': 2022-11-23T01:30:36.1775020Z } 2022-11-23T01:30:36.1775083Z 2022-11-23T01:30:36.1775152Z - 2022-11-23T01:30:36.1775260Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1775323Z { 2022-11-23T01:30:36.1775459Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1775674Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1775791Z 'obj_weakref': None 2022-11-23T01:30:36.1776011Z 'guarded_class': 2022-11-23T01:30:36.1776104Z } 2022-11-23T01:30:36.1776154Z 2022-11-23T01:30:36.1776222Z - 2022-11-23T01:30:36.1776357Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1776424Z { 2022-11-23T01:30:36.1776542Z 'guard_types': None, 2022-11-23T01:30:36.1776648Z 'code': None, 2022-11-23T01:30:36.1776751Z 'obj_weakref': None 2022-11-23T01:30:36.1776871Z 'guarded_class': None 2022-11-23T01:30:36.1776935Z } 2022-11-23T01:30:36.1776997Z 2022-11-23T01:30:36.1777258Z [2022-11-23 01:27:08,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344 2022-11-23T01:30:36.1777626Z [2022-11-23 01:27:09,759] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/to/ctonwhnenzm4rmtfzkxt6zngb4dr5j5d7wqk6lsleetg5wpqxofl.py 2022-11-23T01:30:36.1777891Z [2022-11-23 01:27:09,759] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344 2022-11-23T01:30:36.1777899Z 2022-11-23T01:30:36.1777992Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1778048Z import torch 2022-11-23T01:30:36.1778120Z import random 2022-11-23T01:30:36.1778235Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1778357Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1778362Z 2022-11-23T01:30:36.1778440Z aten = torch.ops.aten 2022-11-23T01:30:36.1778573Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1778665Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1778670Z 2022-11-23T01:30:36.1778674Z 2022-11-23T01:30:36.1778806Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1778999Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1779118Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1779220Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1779322Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1779382Z { 2022-11-23T01:30:36.1779479Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1779544Z { 2022-11-23T01:30:36.1779608Z #pragma omp for 2022-11-23T01:30:36.1779692Z for(long i0=0; i0<235; i0+=1) 2022-11-23T01:30:36.1779756Z { 2022-11-23T01:30:36.1779895Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1779989Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1780052Z } 2022-11-23T01:30:36.1780145Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1780218Z for(long i0=1880; i0<1885; i0+=1) 2022-11-23T01:30:36.1780281Z { 2022-11-23T01:30:36.1780365Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1780445Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1780506Z } 2022-11-23T01:30:36.1780581Z #pragma omp for 2022-11-23T01:30:36.1780664Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.1780713Z { 2022-11-23T01:30:36.1780775Z { 2022-11-23T01:30:36.1780839Z { 2022-11-23T01:30:36.1780957Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.1781061Z auto tmp1 = static_cast(0.8); 2022-11-23T01:30:36.1781163Z atomic_add(&out_ptr0[tmp0], tmp1); 2022-11-23T01:30:36.1781226Z } 2022-11-23T01:30:36.1781277Z } 2022-11-23T01:30:36.1781337Z } 2022-11-23T01:30:36.1781397Z } 2022-11-23T01:30:36.1781459Z } 2022-11-23T01:30:36.1781536Z ''') 2022-11-23T01:30:36.1781541Z 2022-11-23T01:30:36.1781546Z 2022-11-23T01:30:36.1781633Z async_compile.wait(globals()) 2022-11-23T01:30:36.1781703Z del async_compile 2022-11-23T01:30:36.1781708Z 2022-11-23T01:30:36.1781765Z def call(args): 2022-11-23T01:30:36.1781839Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.1781909Z args.clear() 2022-11-23T01:30:36.1782115Z buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1782309Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1782379Z del arg0_1 2022-11-23T01:30:36.1782444Z del arg1_1 2022-11-23T01:30:36.1782503Z return (buf0, ) 2022-11-23T01:30:36.1782508Z 2022-11-23T01:30:36.1782523Z 2022-11-23T01:30:36.1782587Z if __name__ == "__main__": 2022-11-23T01:30:36.1782700Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1782823Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1783030Z arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1783228Z arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1783343Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.1783348Z 2022-11-23T01:30:36.1783413Z ok (1.485s) 2022-11-23T01:30:36.1783708Z test_scatter4_cpu (__main__.CpuTests) ... [2022-11-23 01:27:09,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1784023Z [2022-11-23 01:27:09,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1784240Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1784491Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1784769Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1785089Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1785436Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1785760Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1786135Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1786229Z 3720 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1786312Z 2 LOAD_METHOD 1 (scatter) 2022-11-23T01:30:36.1786401Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1786488Z 6 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1786578Z 8 LOAD_FAST 1 (ind) 2022-11-23T01:30:36.1786668Z 10 LOAD_FAST 2 (src) 2022-11-23T01:30:36.1786755Z 12 CALL_METHOD 4 2022-11-23T01:30:36.1786833Z 14 RETURN_VALUE 2022-11-23T01:30:36.1786881Z 2022-11-23T01:30:36.1786898Z 2022-11-23T01:30:36.1787224Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3720 2022-11-23T01:30:36.1787444Z [2022-11-23 01:27:09,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1787811Z [2022-11-23 01:27:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:30:36.1788135Z [2022-11-23 01:27:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.1788487Z [2022-11-23 01:27:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1788913Z [2022-11-23 01:27:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1789340Z [2022-11-23 01:27:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1789792Z [2022-11-23 01:27:09,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1790039Z [2022-11-23 01:27:09,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1790418Z [2022-11-23 01:27:09,770] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1790665Z [2022-11-23 01:27:09,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1790895Z [2022-11-23 01:27:09,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1791137Z [2022-11-23 01:27:09,771] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1791385Z [2022-11-23 01:27:09,776] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1791570Z [2022-11-23 01:27:09,776] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1791706Z __compiled_fn_352 .2929 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1791795Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1791881Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1791966Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1792222Z call_function, scatter, , (ex_0_, 0, ex_1_, ex_2_), {} 2022-11-23T01:30:36.1792311Z output, output, output, ((scatter,),), {} 2022-11-23T01:30:36.1792317Z 2022-11-23T01:30:36.1792641Z [2022-11-23 01:27:09,776] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1792734Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1792825Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1792910Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1793002Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1793086Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1793172Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1793235Z 12 RETURN_VALUE 2022-11-23T01:30:36.1793242Z 2022-11-23T01:30:36.1793301Z 2022-11-23T01:30:36.1793650Z [2022-11-23 01:27:09,776] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1793758Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_352) 2022-11-23T01:30:36.1793847Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1793937Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1794013Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1794088Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1794174Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1794249Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1794335Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1794419Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1794492Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1794579Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1794697Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1794772Z 24 RETURN_VALUE 2022-11-23T01:30:36.1794778Z 2022-11-23T01:30:36.1794839Z 2022-11-23T01:30:36.1795023Z [2022-11-23 01:27:09,777] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1795093Z - 2022-11-23T01:30:36.1795210Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1795274Z { 2022-11-23T01:30:36.1795400Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1795585Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.1795702Z 'obj_weakref': None 2022-11-23T01:30:36.1795927Z 'guarded_class': 2022-11-23T01:30:36.1795990Z } 2022-11-23T01:30:36.1796053Z 2022-11-23T01:30:36.1796121Z - 2022-11-23T01:30:36.1796232Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1796299Z { 2022-11-23T01:30:36.1796439Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1796544Z 'code': None, 2022-11-23T01:30:36.1796755Z 'obj_weakref': 2022-11-23T01:30:36.1797005Z 'guarded_class': 2022-11-23T01:30:36.1797069Z } 2022-11-23T01:30:36.1797132Z 2022-11-23T01:30:36.1797187Z - 2022-11-23T01:30:36.1797309Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1797374Z { 2022-11-23T01:30:36.1797514Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1797618Z 'code': None, 2022-11-23T01:30:36.1797828Z 'obj_weakref': 2022-11-23T01:30:36.1798077Z 'guarded_class': 2022-11-23T01:30:36.1798131Z } 2022-11-23T01:30:36.1798194Z 2022-11-23T01:30:36.1798263Z - 2022-11-23T01:30:36.1798387Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1798449Z { 2022-11-23T01:30:36.1798589Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1798681Z 'code': None, 2022-11-23T01:30:36.1798885Z 'obj_weakref': 2022-11-23T01:30:36.1799134Z 'guarded_class': 2022-11-23T01:30:36.1799198Z } 2022-11-23T01:30:36.1799260Z 2022-11-23T01:30:36.1799328Z - 2022-11-23T01:30:36.1799457Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1799507Z { 2022-11-23T01:30:36.1799640Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1799807Z 'code': ['___check_obj_id(model, 140534621993808)'], 2022-11-23T01:30:36.1799927Z 'obj_weakref': None 2022-11-23T01:30:36.1800299Z 'guarded_class': 2022-11-23T01:30:36.1800365Z } 2022-11-23T01:30:36.1800428Z 2022-11-23T01:30:36.1800489Z - 2022-11-23T01:30:36.1800611Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1800673Z { 2022-11-23T01:30:36.1800809Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1801025Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1801143Z 'obj_weakref': None 2022-11-23T01:30:36.1801364Z 'guarded_class': 2022-11-23T01:30:36.1801426Z } 2022-11-23T01:30:36.1801477Z 2022-11-23T01:30:36.1801545Z - 2022-11-23T01:30:36.1801677Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.1801770Z { 2022-11-23T01:30:36.1801888Z 'guard_types': None, 2022-11-23T01:30:36.1801992Z 'code': None, 2022-11-23T01:30:36.1802098Z 'obj_weakref': None 2022-11-23T01:30:36.1802218Z 'guarded_class': None 2022-11-23T01:30:36.1802279Z } 2022-11-23T01:30:36.1802341Z 2022-11-23T01:30:36.1802600Z [2022-11-23 01:27:09,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345 2022-11-23T01:30:36.1802972Z [2022-11-23 01:27:11,382] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yi/cyiigag5vcjlgbhgtjqvobflivtehq7ff2sjcat6uvn6mxxcgxp6.py 2022-11-23T01:30:36.1803236Z [2022-11-23 01:27:11,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345 2022-11-23T01:30:36.1803241Z 2022-11-23T01:30:36.1803334Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1803390Z import torch 2022-11-23T01:30:36.1803460Z import random 2022-11-23T01:30:36.1803575Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1803695Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1803702Z 2022-11-23T01:30:36.1803779Z aten = torch.ops.aten 2022-11-23T01:30:36.1803913Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1804003Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1804008Z 2022-11-23T01:30:36.1804012Z 2022-11-23T01:30:36.1804145Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1804336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1804454Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1804557Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1804662Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1804874Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1804939Z { 2022-11-23T01:30:36.1805037Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1805085Z { 2022-11-23T01:30:36.1805162Z #pragma omp for 2022-11-23T01:30:36.1805247Z for(long i0=0; i0<24304; i0+=1) 2022-11-23T01:30:36.1805309Z { 2022-11-23T01:30:36.1805450Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1805543Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1805605Z } 2022-11-23T01:30:36.1805687Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1805776Z for(long i0=194432; i0<194432; i0+=1) 2022-11-23T01:30:36.1805839Z { 2022-11-23T01:30:36.1805926Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1806007Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1806068Z } 2022-11-23T01:30:36.1806141Z #pragma omp for 2022-11-23T01:30:36.1806210Z for(long i0=0; i0<992; i0+=1) 2022-11-23T01:30:36.1806270Z { 2022-11-23T01:30:36.1806335Z { 2022-11-23T01:30:36.1806399Z { 2022-11-23T01:30:36.1806490Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.1806634Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:30:36.1806732Z out_ptr0[i0 + (992*tmp0)] = tmp1; 2022-11-23T01:30:36.1806784Z } 2022-11-23T01:30:36.1806850Z } 2022-11-23T01:30:36.1806911Z } 2022-11-23T01:30:36.1806973Z } 2022-11-23T01:30:36.1807032Z } 2022-11-23T01:30:36.1807113Z ''') 2022-11-23T01:30:36.1807118Z 2022-11-23T01:30:36.1807122Z 2022-11-23T01:30:36.1807210Z async_compile.wait(globals()) 2022-11-23T01:30:36.1807270Z del async_compile 2022-11-23T01:30:36.1807275Z 2022-11-23T01:30:36.1807346Z def call(args): 2022-11-23T01:30:36.1807428Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1807499Z args.clear() 2022-11-23T01:30:36.1807704Z buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1807933Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1808002Z del arg0_1 2022-11-23T01:30:36.1808058Z del arg1_1 2022-11-23T01:30:36.1808125Z del arg2_1 2022-11-23T01:30:36.1808197Z return (buf0, ) 2022-11-23T01:30:36.1808201Z 2022-11-23T01:30:36.1808206Z 2022-11-23T01:30:36.1808283Z if __name__ == "__main__": 2022-11-23T01:30:36.1808397Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1808518Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1808723Z arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1808918Z arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1809106Z arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1809229Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1809236Z 2022-11-23T01:30:36.1809302Z ok (1.625s) 2022-11-23T01:30:36.1809454Z test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s) 2022-11-23T01:30:36.1809766Z test_scatter_add2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:11,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1810085Z [2022-11-23 01:27:11,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1810302Z [2022-11-23 01:27:11,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1810556Z [2022-11-23 01:27:11,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1810832Z [2022-11-23 01:27:11,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1811137Z [2022-11-23 01:27:11,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1811489Z [2022-11-23 01:27:11,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1811812Z [2022-11-23 01:27:11,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1812184Z [2022-11-23 01:27:11,397] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1812279Z 3744 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1812381Z 2 LOAD_METHOD 1 (scatter_add) 2022-11-23T01:30:36.1812472Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1812561Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1812653Z 8 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1812729Z 10 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1812845Z 12 CALL_METHOD 4 2022-11-23T01:30:36.1812924Z 14 RETURN_VALUE 2022-11-23T01:30:36.1812988Z 2022-11-23T01:30:36.1812992Z 2022-11-23T01:30:36.1813307Z [2022-11-23 01:27:11,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3744 2022-11-23T01:30:36.1813523Z [2022-11-23 01:27:11,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1813838Z [2022-11-23 01:27:11,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable()] 2022-11-23T01:30:36.1814095Z [2022-11-23 01:27:11,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)] 2022-11-23T01:30:36.1814429Z [2022-11-23 01:27:11,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()] 2022-11-23T01:30:36.1814764Z [2022-11-23 01:27:11,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1815117Z [2022-11-23 01:27:11,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1815503Z [2022-11-23 01:27:11,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1815751Z [2022-11-23 01:27:11,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1816131Z [2022-11-23 01:27:11,411] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1816385Z [2022-11-23 01:27:11,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1816619Z [2022-11-23 01:27:11,411] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1816873Z [2022-11-23 01:27:11,413] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1817121Z [2022-11-23 01:27:11,418] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1817309Z [2022-11-23 01:27:11,419] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1817429Z __compiled_fn_353 .2935 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1817519Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1817606Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1817694Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.1817831Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {} 2022-11-23T01:30:36.1817938Z output, output, output, ((scatter_add,),), {} 2022-11-23T01:30:36.1817944Z 2022-11-23T01:30:36.1818269Z [2022-11-23 01:27:11,420] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1818363Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1818440Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1818528Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1818624Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1818710Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1818798Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1818873Z 12 RETURN_VALUE 2022-11-23T01:30:36.1818878Z 2022-11-23T01:30:36.1818938Z 2022-11-23T01:30:36.1819250Z [2022-11-23 01:27:11,420] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1819384Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_353) 2022-11-23T01:30:36.1819475Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1819564Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1819643Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1819732Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1819819Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1819893Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1819968Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1820054Z 16 LOAD_CONST 3 (3) 2022-11-23T01:30:36.1820129Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1820217Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1820310Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1820416Z 24 RETURN_VALUE 2022-11-23T01:30:36.1820421Z 2022-11-23T01:30:36.1820483Z 2022-11-23T01:30:36.1820654Z [2022-11-23 01:27:11,422] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1820724Z - 2022-11-23T01:30:36.1820843Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1820906Z { 2022-11-23T01:30:36.1821046Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1821231Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1821350Z 'obj_weakref': None 2022-11-23T01:30:36.1821563Z 'guarded_class': 2022-11-23T01:30:36.1821628Z } 2022-11-23T01:30:36.1821692Z 2022-11-23T01:30:36.1821760Z - 2022-11-23T01:30:36.1821884Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1821947Z { 2022-11-23T01:30:36.1822088Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1822183Z 'code': None, 2022-11-23T01:30:36.1822396Z 'obj_weakref': 2022-11-23T01:30:36.1822647Z 'guarded_class': 2022-11-23T01:30:36.1822710Z } 2022-11-23T01:30:36.1822773Z 2022-11-23T01:30:36.1822841Z - 2022-11-23T01:30:36.1822969Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1823020Z { 2022-11-23T01:30:36.1823160Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1823343Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 0'], 2022-11-23T01:30:36.1823459Z 'obj_weakref': None 2022-11-23T01:30:36.1823677Z 'guarded_class': 2022-11-23T01:30:36.1823740Z } 2022-11-23T01:30:36.1823806Z 2022-11-23T01:30:36.1823861Z - 2022-11-23T01:30:36.1823982Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1824044Z { 2022-11-23T01:30:36.1824184Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1824290Z 'code': None, 2022-11-23T01:30:36.1824500Z 'obj_weakref': 2022-11-23T01:30:36.1824749Z 'guarded_class': 2022-11-23T01:30:36.1824800Z } 2022-11-23T01:30:36.1824863Z 2022-11-23T01:30:36.1824931Z - 2022-11-23T01:30:36.1825053Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.1825114Z { 2022-11-23T01:30:36.1825254Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1825358Z 'code': None, 2022-11-23T01:30:36.1825553Z 'obj_weakref': 2022-11-23T01:30:36.1825806Z 'guarded_class': 2022-11-23T01:30:36.1825897Z } 2022-11-23T01:30:36.1825961Z 2022-11-23T01:30:36.1826029Z - 2022-11-23T01:30:36.1826156Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1826219Z { 2022-11-23T01:30:36.1826339Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1826505Z 'code': ['___check_obj_id(model, 140534427718496)'], 2022-11-23T01:30:36.1826623Z 'obj_weakref': None 2022-11-23T01:30:36.1826851Z 'guarded_class': 2022-11-23T01:30:36.1826915Z } 2022-11-23T01:30:36.1826978Z 2022-11-23T01:30:36.1827046Z - 2022-11-23T01:30:36.1827152Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1827215Z { 2022-11-23T01:30:36.1827377Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1827589Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1827708Z 'obj_weakref': None 2022-11-23T01:30:36.1827928Z 'guarded_class': 2022-11-23T01:30:36.1827990Z } 2022-11-23T01:30:36.1828041Z 2022-11-23T01:30:36.1828109Z - 2022-11-23T01:30:36.1828240Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1828302Z { 2022-11-23T01:30:36.1828421Z 'guard_types': None, 2022-11-23T01:30:36.1828526Z 'code': None, 2022-11-23T01:30:36.1828642Z 'obj_weakref': None 2022-11-23T01:30:36.1828749Z 'guarded_class': None 2022-11-23T01:30:36.1828810Z } 2022-11-23T01:30:36.1828872Z 2022-11-23T01:30:36.1829133Z [2022-11-23 01:27:11,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346 2022-11-23T01:30:36.1829504Z [2022-11-23 01:27:12,909] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bh/cbhzx4is3nt3mcxwg77yorsikzumalgzkhix3nmk5dypg4sw4qx7.py 2022-11-23T01:30:36.1829769Z [2022-11-23 01:27:12,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346 2022-11-23T01:30:36.1829775Z 2022-11-23T01:30:36.1829867Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1829935Z import torch 2022-11-23T01:30:36.1829992Z import random 2022-11-23T01:30:36.1830106Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1830228Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1830233Z 2022-11-23T01:30:36.1830309Z aten = torch.ops.aten 2022-11-23T01:30:36.1830441Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1830531Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1830536Z 2022-11-23T01:30:36.1830543Z 2022-11-23T01:30:36.1830674Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1830867Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1830988Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1831092Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1831196Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1831295Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1831355Z { 2022-11-23T01:30:36.1831451Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1831511Z { 2022-11-23T01:30:36.1831575Z #pragma omp for 2022-11-23T01:30:36.1831656Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:36.1831720Z { 2022-11-23T01:30:36.1831783Z { 2022-11-23T01:30:36.1831845Z { 2022-11-23T01:30:36.1831937Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1832012Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1832076Z } 2022-11-23T01:30:36.1832138Z } 2022-11-23T01:30:36.1832200Z } 2022-11-23T01:30:36.1832305Z #pragma omp for 2022-11-23T01:30:36.1832388Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.1832449Z { 2022-11-23T01:30:36.1832517Z #pragma GCC ivdep 2022-11-23T01:30:36.1832601Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.1832665Z { 2022-11-23T01:30:36.1832728Z { 2022-11-23T01:30:36.1832794Z { 2022-11-23T01:30:36.1832894Z auto tmp0 = in_ptr1[i1 + (3*i0)]; 2022-11-23T01:30:36.1832993Z auto tmp1 = in_ptr2[i1 + (3*i0)]; 2022-11-23T01:30:36.1833093Z atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1); 2022-11-23T01:30:36.1833160Z } 2022-11-23T01:30:36.1833224Z } 2022-11-23T01:30:36.1833286Z } 2022-11-23T01:30:36.1833375Z } 2022-11-23T01:30:36.1833436Z } 2022-11-23T01:30:36.1833484Z } 2022-11-23T01:30:36.1833561Z ''') 2022-11-23T01:30:36.1833566Z 2022-11-23T01:30:36.1833571Z 2022-11-23T01:30:36.1833659Z async_compile.wait(globals()) 2022-11-23T01:30:36.1833729Z del async_compile 2022-11-23T01:30:36.1833734Z 2022-11-23T01:30:36.1833804Z def call(args): 2022-11-23T01:30:36.1833883Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1833953Z args.clear() 2022-11-23T01:30:36.1834148Z buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1834323Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1834391Z del arg0_1 2022-11-23T01:30:36.1834457Z del arg1_1 2022-11-23T01:30:36.1834521Z del arg2_1 2022-11-23T01:30:36.1834592Z return (buf0, ) 2022-11-23T01:30:36.1834597Z 2022-11-23T01:30:36.1834601Z 2022-11-23T01:30:36.1834676Z if __name__ == "__main__": 2022-11-23T01:30:36.1834793Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1834914Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1835101Z arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1835290Z arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1835480Z arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1835602Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1835607Z 2022-11-23T01:30:36.1835672Z ok (1.524s) 2022-11-23T01:30:36.1835984Z test_scatter_add3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1836300Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1836520Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1836763Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1837039Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1837358Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1837702Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1838024Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1838396Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1838519Z 3758 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1838622Z 2 LOAD_METHOD 1 (scatter_add) 2022-11-23T01:30:36.1838711Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1838801Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1838880Z 8 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1838966Z 10 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1839053Z 12 CALL_METHOD 4 2022-11-23T01:30:36.1839128Z 14 RETURN_VALUE 2022-11-23T01:30:36.1839188Z 2022-11-23T01:30:36.1839193Z 2022-11-23T01:30:36.1839505Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3758 2022-11-23T01:30:36.1839761Z [2022-11-23 01:27:12,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1840182Z [2022-11-23 01:27:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable()] 2022-11-23T01:30:36.1840435Z [2022-11-23 01:27:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)] 2022-11-23T01:30:36.1840725Z [2022-11-23 01:27:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()] 2022-11-23T01:30:36.1841094Z [2022-11-23 01:27:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1841528Z [2022-11-23 01:27:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1841922Z [2022-11-23 01:27:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1842168Z [2022-11-23 01:27:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1842545Z [2022-11-23 01:27:12,923] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1842788Z [2022-11-23 01:27:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1843023Z [2022-11-23 01:27:12,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1843274Z [2022-11-23 01:27:12,924] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1843512Z [2022-11-23 01:27:12,927] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1843699Z [2022-11-23 01:27:12,927] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1843833Z __compiled_fn_354 .2941 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1843922Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1844007Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1844090Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.1844223Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {} 2022-11-23T01:30:36.1844327Z output, output, output, ((scatter_add,),), {} 2022-11-23T01:30:36.1844333Z 2022-11-23T01:30:36.1844641Z [2022-11-23 01:27:12,927] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1844818Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1844912Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1845002Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1845095Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1845237Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1845329Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1845404Z 12 RETURN_VALUE 2022-11-23T01:30:36.1845410Z 2022-11-23T01:30:36.1845458Z 2022-11-23T01:30:36.1845781Z [2022-11-23 01:27:12,927] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1845888Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_354) 2022-11-23T01:30:36.1845978Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1846068Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1846146Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1846234Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1846343Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1846419Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1846507Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1846595Z 16 LOAD_CONST 3 (3) 2022-11-23T01:30:36.1846670Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1846759Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1846849Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1846911Z 24 RETURN_VALUE 2022-11-23T01:30:36.1846928Z 2022-11-23T01:30:36.1846975Z 2022-11-23T01:30:36.1847155Z [2022-11-23 01:27:12,928] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1847227Z - 2022-11-23T01:30:36.1847344Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1847408Z { 2022-11-23T01:30:36.1847547Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1847732Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1847841Z 'obj_weakref': None 2022-11-23T01:30:36.1848067Z 'guarded_class': 2022-11-23T01:30:36.1848134Z } 2022-11-23T01:30:36.1848198Z 2022-11-23T01:30:36.1848266Z - 2022-11-23T01:30:36.1848389Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1848440Z { 2022-11-23T01:30:36.1848581Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1848686Z 'code': None, 2022-11-23T01:30:36.1848897Z 'obj_weakref': 2022-11-23T01:30:36.1849146Z 'guarded_class': 2022-11-23T01:30:36.1849210Z } 2022-11-23T01:30:36.1849274Z 2022-11-23T01:30:36.1849341Z - 2022-11-23T01:30:36.1849458Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1849527Z { 2022-11-23T01:30:36.1849671Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1849858Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 2'], 2022-11-23T01:30:36.1849976Z 'obj_weakref': None 2022-11-23T01:30:36.1850196Z 'guarded_class': 2022-11-23T01:30:36.1850260Z } 2022-11-23T01:30:36.1850311Z 2022-11-23T01:30:36.1850378Z - 2022-11-23T01:30:36.1850501Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1850569Z { 2022-11-23T01:30:36.1850710Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1850816Z 'code': None, 2022-11-23T01:30:36.1851025Z 'obj_weakref': 2022-11-23T01:30:36.1851262Z 'guarded_class': 2022-11-23T01:30:36.1851329Z } 2022-11-23T01:30:36.1851392Z 2022-11-23T01:30:36.1851459Z - 2022-11-23T01:30:36.1851611Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.1851676Z { 2022-11-23T01:30:36.1851816Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1851908Z 'code': None, 2022-11-23T01:30:36.1852119Z 'obj_weakref': 2022-11-23T01:30:36.1852367Z 'guarded_class': 2022-11-23T01:30:36.1852431Z } 2022-11-23T01:30:36.1852493Z 2022-11-23T01:30:36.1852562Z - 2022-11-23T01:30:36.1852691Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1852743Z { 2022-11-23T01:30:36.1852878Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1853047Z 'code': ['___check_obj_id(model, 140534626921072)'], 2022-11-23T01:30:36.1853197Z 'obj_weakref': None 2022-11-23T01:30:36.1853427Z 'guarded_class': 2022-11-23T01:30:36.1853490Z } 2022-11-23T01:30:36.1853553Z 2022-11-23T01:30:36.1853609Z - 2022-11-23T01:30:36.1853729Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1853796Z { 2022-11-23T01:30:36.1853930Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1854145Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1854263Z 'obj_weakref': None 2022-11-23T01:30:36.1854481Z 'guarded_class': 2022-11-23T01:30:36.1854532Z } 2022-11-23T01:30:36.1854596Z 2022-11-23T01:30:36.1854664Z - 2022-11-23T01:30:36.1854794Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1854860Z { 2022-11-23T01:30:36.1854979Z 'guard_types': None, 2022-11-23T01:30:36.1855071Z 'code': None, 2022-11-23T01:30:36.1855190Z 'obj_weakref': None 2022-11-23T01:30:36.1855311Z 'guarded_class': None 2022-11-23T01:30:36.1855376Z } 2022-11-23T01:30:36.1855439Z 2022-11-23T01:30:36.1855698Z [2022-11-23 01:27:12,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347 2022-11-23T01:30:36.1856066Z [2022-11-23 01:27:14,398] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dd/cddhxibyel77dxemjr6uzj45u2w2wfltcczbw6ymgq6z4sh4buis.py 2022-11-23T01:30:36.1856330Z [2022-11-23 01:27:14,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347 2022-11-23T01:30:36.1856336Z 2022-11-23T01:30:36.1856415Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1856486Z import torch 2022-11-23T01:30:36.1856558Z import random 2022-11-23T01:30:36.1856674Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1856795Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1856802Z 2022-11-23T01:30:36.1856880Z aten = torch.ops.aten 2022-11-23T01:30:36.1857014Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1857104Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1857109Z 2022-11-23T01:30:36.1857113Z 2022-11-23T01:30:36.1857233Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1857440Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1857558Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1857663Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1857766Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1857867Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1857931Z { 2022-11-23T01:30:36.1858016Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1858077Z { 2022-11-23T01:30:36.1858155Z #pragma omp for 2022-11-23T01:30:36.1858270Z for(long i0=0; i0<235; i0+=1) 2022-11-23T01:30:36.1858336Z { 2022-11-23T01:30:36.1858478Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1858571Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1858621Z } 2022-11-23T01:30:36.1858717Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1858802Z for(long i0=1880; i0<1885; i0+=1) 2022-11-23T01:30:36.1858865Z { 2022-11-23T01:30:36.1858951Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1859030Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1859091Z } 2022-11-23T01:30:36.1859154Z #pragma omp for 2022-11-23T01:30:36.1859236Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.1859296Z { 2022-11-23T01:30:36.1859390Z { 2022-11-23T01:30:36.1859454Z { 2022-11-23T01:30:36.1859544Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.1859635Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:30:36.1859726Z atomic_add(&out_ptr0[tmp0], tmp1); 2022-11-23T01:30:36.1859790Z } 2022-11-23T01:30:36.1859852Z } 2022-11-23T01:30:36.1859914Z } 2022-11-23T01:30:36.1859974Z } 2022-11-23T01:30:36.1860034Z } 2022-11-23T01:30:36.1860100Z ''') 2022-11-23T01:30:36.1860116Z 2022-11-23T01:30:36.1860121Z 2022-11-23T01:30:36.1860197Z async_compile.wait(globals()) 2022-11-23T01:30:36.1860268Z del async_compile 2022-11-23T01:30:36.1860272Z 2022-11-23T01:30:36.1860341Z def call(args): 2022-11-23T01:30:36.1860421Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1860491Z args.clear() 2022-11-23T01:30:36.1860701Z buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1860893Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1860951Z del arg0_1 2022-11-23T01:30:36.1861018Z del arg1_1 2022-11-23T01:30:36.1861083Z del arg2_1 2022-11-23T01:30:36.1861153Z return (buf0, ) 2022-11-23T01:30:36.1861158Z 2022-11-23T01:30:36.1861162Z 2022-11-23T01:30:36.1861237Z if __name__ == "__main__": 2022-11-23T01:30:36.1861350Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1861471Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1861677Z arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1861864Z arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1862067Z arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1862187Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1862195Z 2022-11-23T01:30:36.1862261Z ok (1.489s) 2022-11-23T01:30:36.1862518Z test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator()) 2022-11-23T01:30:36.1862761Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1863077Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1863293Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1863543Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1863809Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1864133Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1864508Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1864836Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1865208Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1865302Z 3772 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1865409Z 2 LOAD_METHOD 1 (scatter_reduce) 2022-11-23T01:30:36.1865500Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1865620Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1865697Z 8 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1865786Z 10 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1865923Z 12 LOAD_CONST 1 ('sum') 2022-11-23T01:30:36.1866011Z 14 CALL_METHOD 5 2022-11-23T01:30:36.1866088Z 16 RETURN_VALUE 2022-11-23T01:30:36.1866147Z 2022-11-23T01:30:36.1866152Z 2022-11-23T01:30:36.1866468Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3772 2022-11-23T01:30:36.1866683Z [2022-11-23 01:27:14,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1866991Z [2022-11-23 01:27:14,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable()] 2022-11-23T01:30:36.1867258Z [2022-11-23 01:27:14,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)] 2022-11-23T01:30:36.1867556Z [2022-11-23 01:27:14,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()] 2022-11-23T01:30:36.1867891Z [2022-11-23 01:27:14,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1868251Z [2022-11-23 01:27:14,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1868640Z [2022-11-23 01:27:14,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1869075Z [2022-11-23 01:27:14,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:36.1869328Z [2022-11-23 01:27:14,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1869707Z [2022-11-23 01:27:14,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1869950Z [2022-11-23 01:27:14,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1870184Z [2022-11-23 01:27:14,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1870425Z [2022-11-23 01:27:14,413] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1870672Z [2022-11-23 01:27:14,418] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1870862Z [2022-11-23 01:27:14,418] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1871034Z __compiled_fn_355 .2947 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1871125Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1871212Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1871294Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.1871512Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {} 2022-11-23T01:30:36.1871611Z output, output, output, ((scatter_reduce,),), {} 2022-11-23T01:30:36.1871628Z 2022-11-23T01:30:36.1871940Z [2022-11-23 01:27:14,418] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1872033Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1872122Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1872240Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1872331Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1872418Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1872506Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1872568Z 12 RETURN_VALUE 2022-11-23T01:30:36.1872573Z 2022-11-23T01:30:36.1872633Z 2022-11-23T01:30:36.1872956Z [2022-11-23 01:27:14,418] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1873066Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_355) 2022-11-23T01:30:36.1873155Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1873244Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1873320Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1873404Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1873479Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1873556Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1873642Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1873729Z 16 LOAD_CONST 3 (3) 2022-11-23T01:30:36.1873803Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1873890Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1873978Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1874040Z 24 RETURN_VALUE 2022-11-23T01:30:36.1874045Z 2022-11-23T01:30:36.1874104Z 2022-11-23T01:30:36.1874286Z [2022-11-23 01:27:14,419] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1874354Z - 2022-11-23T01:30:36.1874472Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1874534Z { 2022-11-23T01:30:36.1874673Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1874845Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1874963Z 'obj_weakref': None 2022-11-23T01:30:36.1875191Z 'guarded_class': 2022-11-23T01:30:36.1875256Z } 2022-11-23T01:30:36.1875321Z 2022-11-23T01:30:36.1875389Z - 2022-11-23T01:30:36.1875512Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1875563Z { 2022-11-23T01:30:36.1875704Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1875809Z 'code': None, 2022-11-23T01:30:36.1876018Z 'obj_weakref': 2022-11-23T01:30:36.1876268Z 'guarded_class': 2022-11-23T01:30:36.1876331Z } 2022-11-23T01:30:36.1876394Z 2022-11-23T01:30:36.1876449Z - 2022-11-23T01:30:36.1876579Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1876642Z { 2022-11-23T01:30:36.1876786Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1876969Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 2'], 2022-11-23T01:30:36.1877113Z 'obj_weakref': None 2022-11-23T01:30:36.1877334Z 'guarded_class': 2022-11-23T01:30:36.1877385Z } 2022-11-23T01:30:36.1877448Z 2022-11-23T01:30:36.1877514Z - 2022-11-23T01:30:36.1877637Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1877698Z { 2022-11-23T01:30:36.1877838Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1877943Z 'code': None, 2022-11-23T01:30:36.1878139Z 'obj_weakref': 2022-11-23T01:30:36.1878385Z 'guarded_class': 2022-11-23T01:30:36.1878479Z } 2022-11-23T01:30:36.1878541Z 2022-11-23T01:30:36.1878609Z - 2022-11-23T01:30:36.1878732Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.1878794Z { 2022-11-23T01:30:36.1878923Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1879028Z 'code': None, 2022-11-23T01:30:36.1879239Z 'obj_weakref': 2022-11-23T01:30:36.1879488Z 'guarded_class': 2022-11-23T01:30:36.1879551Z } 2022-11-23T01:30:36.1879612Z 2022-11-23T01:30:36.1879680Z - 2022-11-23T01:30:36.1879798Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1879861Z { 2022-11-23T01:30:36.1880081Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1880258Z 'code': ['___check_obj_id(model, 140534626918624)'], 2022-11-23T01:30:36.1880379Z 'obj_weakref': None 2022-11-23T01:30:36.1880609Z 'guarded_class': 2022-11-23T01:30:36.1880674Z } 2022-11-23T01:30:36.1880724Z 2022-11-23T01:30:36.1880792Z - 2022-11-23T01:30:36.1880911Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1880974Z { 2022-11-23T01:30:36.1881110Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1881326Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1881443Z 'obj_weakref': None 2022-11-23T01:30:36.1881652Z 'guarded_class': 2022-11-23T01:30:36.1881717Z } 2022-11-23T01:30:36.1881778Z 2022-11-23T01:30:36.1881846Z - 2022-11-23T01:30:36.1881976Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1882039Z { 2022-11-23T01:30:36.1882162Z 'guard_types': None, 2022-11-23T01:30:36.1882255Z 'code': None, 2022-11-23T01:30:36.1882370Z 'obj_weakref': None 2022-11-23T01:30:36.1882492Z 'guarded_class': None 2022-11-23T01:30:36.1882555Z } 2022-11-23T01:30:36.1882615Z 2022-11-23T01:30:36.1882873Z [2022-11-23 01:27:14,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348 2022-11-23T01:30:36.1883237Z [2022-11-23 01:27:14,435] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dd/cddhxibyel77dxemjr6uzj45u2w2wfltcczbw6ymgq6z4sh4buis.py 2022-11-23T01:30:36.1883487Z [2022-11-23 01:27:14,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348 2022-11-23T01:30:36.1883505Z 2022-11-23T01:30:36.1883624Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1883692Z import torch 2022-11-23T01:30:36.1883762Z import random 2022-11-23T01:30:36.1883879Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1884000Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1884004Z 2022-11-23T01:30:36.1884116Z aten = torch.ops.aten 2022-11-23T01:30:36.1884250Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1884330Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1884334Z 2022-11-23T01:30:36.1884350Z 2022-11-23T01:30:36.1884470Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1884674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1884909Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1885014Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1885116Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1885214Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1885274Z { 2022-11-23T01:30:36.1885416Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1885478Z { 2022-11-23T01:30:36.1885557Z #pragma omp for 2022-11-23T01:30:36.1885641Z for(long i0=0; i0<235; i0+=1) 2022-11-23T01:30:36.1885705Z { 2022-11-23T01:30:36.1885841Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.1885935Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.1885987Z } 2022-11-23T01:30:36.1886081Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.1886168Z for(long i0=1880; i0<1885; i0+=1) 2022-11-23T01:30:36.1886233Z { 2022-11-23T01:30:36.1886318Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1886399Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1886448Z } 2022-11-23T01:30:36.1886524Z #pragma omp for 2022-11-23T01:30:36.1886604Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.1886665Z { 2022-11-23T01:30:36.1886731Z { 2022-11-23T01:30:36.1886799Z { 2022-11-23T01:30:36.1886890Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.1886967Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:30:36.1887071Z atomic_add(&out_ptr0[tmp0], tmp1); 2022-11-23T01:30:36.1887135Z } 2022-11-23T01:30:36.1887199Z } 2022-11-23T01:30:36.1887261Z } 2022-11-23T01:30:36.1887323Z } 2022-11-23T01:30:36.1887382Z } 2022-11-23T01:30:36.1887450Z ''') 2022-11-23T01:30:36.1887455Z 2022-11-23T01:30:36.1887459Z 2022-11-23T01:30:36.1887547Z async_compile.wait(globals()) 2022-11-23T01:30:36.1887618Z del async_compile 2022-11-23T01:30:36.1887622Z 2022-11-23T01:30:36.1887693Z def call(args): 2022-11-23T01:30:36.1887775Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1887846Z args.clear() 2022-11-23T01:30:36.1888054Z buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1888229Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1888300Z del arg0_1 2022-11-23T01:30:36.1888366Z del arg1_1 2022-11-23T01:30:36.1888434Z del arg2_1 2022-11-23T01:30:36.1888506Z return (buf0, ) 2022-11-23T01:30:36.1888510Z 2022-11-23T01:30:36.1888514Z 2022-11-23T01:30:36.1888589Z if __name__ == "__main__": 2022-11-23T01:30:36.1888702Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1888823Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1889018Z arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1889217Z arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1889417Z arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1889537Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1889542Z 2022-11-23T01:30:36.1889610Z ok (0.037s) 2022-11-23T01:30:36.1889930Z test_scatter_reduce2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1890283Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1890507Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1890758Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1891022Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1891344Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1891690Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1892044Z [2022-11-23 01:27:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1892417Z [2022-11-23 01:27:14,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1892512Z 3786 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1892617Z 2 LOAD_ATTR 1 (scatter_reduce) 2022-11-23T01:30:36.1892708Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1892798Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.1892875Z 8 LOAD_FAST 2 (index) 2022-11-23T01:30:36.1892964Z 10 LOAD_FAST 3 (b) 2022-11-23T01:30:36.1893105Z 12 LOAD_CONST 1 ('sum') 2022-11-23T01:30:36.1893194Z 14 LOAD_CONST 2 (False) 2022-11-23T01:30:36.1893356Z 16 LOAD_CONST 3 (('include_self',)) 2022-11-23T01:30:36.1893447Z 18 CALL_FUNCTION_KW 6 2022-11-23T01:30:36.1893524Z 20 RETURN_VALUE 2022-11-23T01:30:36.1893572Z 2022-11-23T01:30:36.1893590Z 2022-11-23T01:30:36.1893896Z [2022-11-23 01:27:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3786 2022-11-23T01:30:36.1894112Z [2022-11-23 01:27:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1894429Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable()] 2022-11-23T01:30:36.1894692Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)] 2022-11-23T01:30:36.1894996Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()] 2022-11-23T01:30:36.1895329Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1895686Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.1896075Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1896505Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:30:36.1897027Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)] 2022-11-23T01:30:36.1897545Z [2022-11-23 01:27:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.1897791Z [2022-11-23 01:27:14,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1898156Z [2022-11-23 01:27:14,448] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1898431Z [2022-11-23 01:27:14,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.1898670Z [2022-11-23 01:27:14,448] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1898926Z [2022-11-23 01:27:14,449] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1899175Z [2022-11-23 01:27:14,452] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1899364Z [2022-11-23 01:27:14,452] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1899497Z __compiled_fn_356 .2953 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1899588Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1899673Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1899745Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.1899997Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False} 2022-11-23T01:30:36.1900109Z output, output, output, ((scatter_reduce,),), {} 2022-11-23T01:30:36.1900116Z 2022-11-23T01:30:36.1900441Z [2022-11-23 01:27:14,453] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1900534Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1900623Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1900710Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1900802Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1900874Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1900963Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1901038Z 12 RETURN_VALUE 2022-11-23T01:30:36.1901042Z 2022-11-23T01:30:36.1901102Z 2022-11-23T01:30:36.1901420Z [2022-11-23 01:27:14,453] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1901533Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_356) 2022-11-23T01:30:36.1901621Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1901697Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1901773Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1901859Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1901946Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.1902021Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1902107Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1902192Z 16 LOAD_CONST 3 (3) 2022-11-23T01:30:36.1902255Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1902342Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1902431Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.1902507Z 24 RETURN_VALUE 2022-11-23T01:30:36.1902512Z 2022-11-23T01:30:36.1902574Z 2022-11-23T01:30:36.1902783Z [2022-11-23 01:27:14,454] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1902853Z - 2022-11-23T01:30:36.1902971Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1903025Z { 2022-11-23T01:30:36.1903162Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1903347Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.1903467Z 'obj_weakref': None 2022-11-23T01:30:36.1903688Z 'guarded_class': 2022-11-23T01:30:36.1903751Z } 2022-11-23T01:30:36.1903814Z 2022-11-23T01:30:36.1903869Z - 2022-11-23T01:30:36.1903991Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1904054Z { 2022-11-23T01:30:36.1904193Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1904332Z 'code': None, 2022-11-23T01:30:36.1904544Z 'obj_weakref': 2022-11-23T01:30:36.1904795Z 'guarded_class': 2022-11-23T01:30:36.1904846Z } 2022-11-23T01:30:36.1904908Z 2022-11-23T01:30:36.1904976Z - 2022-11-23T01:30:36.1905105Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:30:36.1905168Z { 2022-11-23T01:30:36.1905308Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.1905490Z 'code': ['___check_type_id(ex[1], 94427249894784)', 'ex[1] == 0'], 2022-11-23T01:30:36.1905594Z 'obj_weakref': None 2022-11-23T01:30:36.1905812Z 'guarded_class': 2022-11-23T01:30:36.1905876Z } 2022-11-23T01:30:36.1905938Z 2022-11-23T01:30:36.1906007Z - 2022-11-23T01:30:36.1906129Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1906191Z { 2022-11-23T01:30:36.1906320Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1906424Z 'code': None, 2022-11-23T01:30:36.1906630Z 'obj_weakref': 2022-11-23T01:30:36.1906879Z 'guarded_class': 2022-11-23T01:30:36.1906943Z } 2022-11-23T01:30:36.1907004Z 2022-11-23T01:30:36.1907072Z - 2022-11-23T01:30:36.1907180Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.1907242Z { 2022-11-23T01:30:36.1907385Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1907490Z 'code': None, 2022-11-23T01:30:36.1907696Z 'obj_weakref': 2022-11-23T01:30:36.1907950Z 'guarded_class': 2022-11-23T01:30:36.1908013Z } 2022-11-23T01:30:36.1908065Z 2022-11-23T01:30:36.1908132Z - 2022-11-23T01:30:36.1908262Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1908326Z { 2022-11-23T01:30:36.1908458Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1908626Z 'code': ['___check_obj_id(model, 140534429132416)'], 2022-11-23T01:30:36.1908742Z 'obj_weakref': None 2022-11-23T01:30:36.1908960Z 'guarded_class': 2022-11-23T01:30:36.1909024Z } 2022-11-23T01:30:36.1909086Z 2022-11-23T01:30:36.1909153Z - 2022-11-23T01:30:36.1909273Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1909336Z { 2022-11-23T01:30:36.1909457Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1909674Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1909818Z 'obj_weakref': None 2022-11-23T01:30:36.1910040Z 'guarded_class': 2022-11-23T01:30:36.1910102Z } 2022-11-23T01:30:36.1910164Z 2022-11-23T01:30:36.1910231Z - 2022-11-23T01:30:36.1910360Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1910410Z { 2022-11-23T01:30:36.1910528Z 'guard_types': None, 2022-11-23T01:30:36.1910632Z 'code': None, 2022-11-23T01:30:36.1910748Z 'obj_weakref': None 2022-11-23T01:30:36.1910865Z 'guarded_class': None 2022-11-23T01:30:36.1910927Z } 2022-11-23T01:30:36.1910977Z 2022-11-23T01:30:36.1911235Z [2022-11-23 01:27:14,459] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349 2022-11-23T01:30:36.1911638Z [2022-11-23 01:27:15,902] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/cct3qdkr3bspga6n4txz2bevphftmfscmt6oijkqjslnwokva7ol.py 2022-11-23T01:30:36.1911903Z [2022-11-23 01:27:15,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349 2022-11-23T01:30:36.1911908Z 2022-11-23T01:30:36.1912001Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1912070Z import torch 2022-11-23T01:30:36.1912137Z import random 2022-11-23T01:30:36.1912250Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1912359Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1912376Z 2022-11-23T01:30:36.1912441Z aten = torch.ops.aten 2022-11-23T01:30:36.1912575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1912667Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1912671Z 2022-11-23T01:30:36.1912675Z 2022-11-23T01:30:36.1912810Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1913014Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1913133Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1913236Z const long* __restrict__ in_ptr1, 2022-11-23T01:30:36.1913337Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1913423Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.1913482Z { 2022-11-23T01:30:36.1913582Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1913644Z { 2022-11-23T01:30:36.1913722Z #pragma omp for 2022-11-23T01:30:36.1913802Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:36.1913852Z { 2022-11-23T01:30:36.1913916Z { 2022-11-23T01:30:36.1913979Z { 2022-11-23T01:30:36.1914070Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.1914155Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.1914220Z } 2022-11-23T01:30:36.1914281Z } 2022-11-23T01:30:36.1914331Z } 2022-11-23T01:30:36.1914405Z #pragma omp for 2022-11-23T01:30:36.1914487Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.1914549Z { 2022-11-23T01:30:36.1914628Z #pragma GCC ivdep 2022-11-23T01:30:36.1914708Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.1914771Z { 2022-11-23T01:30:36.1914822Z { 2022-11-23T01:30:36.1914887Z { 2022-11-23T01:30:36.1914987Z auto tmp0 = in_ptr1[i1 + (3*i0)]; 2022-11-23T01:30:36.1915090Z auto tmp1 = static_cast(0); 2022-11-23T01:30:36.1915187Z out_ptr0[i1 + (3*tmp0)] = tmp1; 2022-11-23T01:30:36.1915253Z } 2022-11-23T01:30:36.1915315Z } 2022-11-23T01:30:36.1915365Z } 2022-11-23T01:30:36.1915425Z } 2022-11-23T01:30:36.1915503Z #pragma omp for 2022-11-23T01:30:36.1915582Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.1915642Z { 2022-11-23T01:30:36.1915767Z #pragma GCC ivdep 2022-11-23T01:30:36.1915838Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.1915903Z { 2022-11-23T01:30:36.1915966Z { 2022-11-23T01:30:36.1916031Z { 2022-11-23T01:30:36.1916129Z auto tmp0 = in_ptr1[i1 + (3*i0)]; 2022-11-23T01:30:36.1916227Z auto tmp1 = in_ptr2[i1 + (3*i0)]; 2022-11-23T01:30:36.1916338Z atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1); 2022-11-23T01:30:36.1916392Z } 2022-11-23T01:30:36.1916456Z } 2022-11-23T01:30:36.1916519Z } 2022-11-23T01:30:36.1916581Z } 2022-11-23T01:30:36.1916642Z } 2022-11-23T01:30:36.1916701Z } 2022-11-23T01:30:36.1916779Z ''') 2022-11-23T01:30:36.1916785Z 2022-11-23T01:30:36.1916817Z 2022-11-23T01:30:36.1916895Z async_compile.wait(globals()) 2022-11-23T01:30:36.1916968Z del async_compile 2022-11-23T01:30:36.1916972Z 2022-11-23T01:30:36.1917042Z def call(args): 2022-11-23T01:30:36.1917124Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1917195Z args.clear() 2022-11-23T01:30:36.1917389Z buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1917576Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.1917633Z del arg0_1 2022-11-23T01:30:36.1917698Z del arg1_1 2022-11-23T01:30:36.1917763Z del arg2_1 2022-11-23T01:30:36.1917834Z return (buf0, ) 2022-11-23T01:30:36.1917838Z 2022-11-23T01:30:36.1917842Z 2022-11-23T01:30:36.1917917Z if __name__ == "__main__": 2022-11-23T01:30:36.1918031Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1918153Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1918349Z arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1918528Z arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.1918716Z arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1918835Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1918839Z 2022-11-23T01:30:36.1918905Z ok (1.468s) 2022-11-23T01:30:36.1919222Z test_select_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1919537Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1919752Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1920101Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1920389Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1920694Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1921040Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1921363Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1921738Z [2022-11-23 01:27:15,909] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1921839Z 3628 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1921943Z 2 LOAD_METHOD 1 (select_scatter) 2022-11-23T01:30:36.1922064Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1922156Z 6 LOAD_FAST 1 (a) 2022-11-23T01:30:36.1922244Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1922319Z 10 LOAD_CONST 2 (0) 2022-11-23T01:30:36.1922407Z 12 CALL_METHOD 4 2022-11-23T01:30:36.1922411Z 2022-11-23T01:30:36.1922502Z 3629 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.1922606Z 16 LOAD_METHOD 1 (select_scatter) 2022-11-23T01:30:36.1922692Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.1922776Z 20 LOAD_FAST 2 (b) 2022-11-23T01:30:36.1922861Z 22 LOAD_CONST 2 (0) 2022-11-23T01:30:36.1922933Z 24 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1923048Z 26 CALL_METHOD 4 2022-11-23T01:30:36.1923052Z 2022-11-23T01:30:36.1923140Z 3627 28 BUILD_TUPLE 2 2022-11-23T01:30:36.1923218Z 30 RETURN_VALUE 2022-11-23T01:30:36.1923278Z 2022-11-23T01:30:36.1923283Z 2022-11-23T01:30:36.1923600Z [2022-11-23 01:27:15,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3628 2022-11-23T01:30:36.1923818Z [2022-11-23 01:27:15,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.1924138Z [2022-11-23 01:27:15,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable()] 2022-11-23T01:30:36.1924401Z [2022-11-23 01:27:15,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)] 2022-11-23T01:30:36.1924682Z [2022-11-23 01:27:15,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()] 2022-11-23T01:30:36.1925245Z [2022-11-23 01:27:15,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1926035Z [2022-11-23 01:27:15,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1926938Z [2022-11-23 01:27:15,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1927635Z [2022-11-23 01:27:15,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3629 2022-11-23T01:30:36.1928161Z [2022-11-23 01:27:15,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.1928946Z [2022-11-23 01:27:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1929587Z [2022-11-23 01:27:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)] 2022-11-23T01:30:36.1930304Z [2022-11-23 01:27:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()] 2022-11-23T01:30:36.1931083Z [2022-11-23 01:27:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1931947Z [2022-11-23 01:27:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1933006Z [2022-11-23 01:27:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.1933710Z [2022-11-23 01:27:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3627 2022-11-23T01:30:36.1934282Z [2022-11-23 01:27:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1934827Z [2022-11-23 01:27:15,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1935667Z [2022-11-23 01:27:15,925] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.1936199Z [2022-11-23 01:27:15,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.1936775Z [2022-11-23 01:27:15,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.1937338Z [2022-11-23 01:27:15,926] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.1937876Z [2022-11-23 01:27:15,929] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.1938279Z [2022-11-23 01:27:15,929] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.1938555Z __compiled_fn_357 .2959 opcode, name, target, args, kwargs 2022-11-23T01:30:36.1938721Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.1938901Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.1939078Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.1939374Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {} 2022-11-23T01:30:36.1939664Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {} 2022-11-23T01:30:36.1939943Z output, output, output, ((select_scatter, select_scatter_1),), {} 2022-11-23T01:30:36.1939954Z 2022-11-23T01:30:36.1940686Z [2022-11-23 01:27:15,930] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1940877Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.1941040Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1941214Z 4 BUILD_MAP 0 2022-11-23T01:30:36.1941397Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.1941574Z 8 DICT_MERGE 1 2022-11-23T01:30:36.1941756Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.1941907Z 12 RETURN_VALUE 2022-11-23T01:30:36.1941917Z 2022-11-23T01:30:36.1942037Z 2022-11-23T01:30:36.1942748Z [2022-11-23 01:27:15,930] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.1942957Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_357) 2022-11-23T01:30:36.1943146Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1943333Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1943489Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.1943668Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1943842Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1944000Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.1944155Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.1944327Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.1944478Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.1944651Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.1944863Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1945070Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1945244Z 26 LOAD_CONST 1 (0) 2022-11-23T01:30:36.1945376Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.1945630Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.1945810Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:36.1945963Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.1946140Z 36 BUILD_TUPLE 2 2022-11-23T01:30:36.1946293Z 38 RETURN_VALUE 2022-11-23T01:30:36.1946304Z 2022-11-23T01:30:36.1946426Z 2022-11-23T01:30:36.1946793Z [2022-11-23 01:27:15,930] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.1946932Z - 2022-11-23T01:30:36.1947184Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.1947317Z { 2022-11-23T01:30:36.1947611Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.1948006Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.1948307Z 'obj_weakref': None 2022-11-23T01:30:36.1948760Z 'guarded_class': 2022-11-23T01:30:36.1948896Z } 2022-11-23T01:30:36.1949020Z 2022-11-23T01:30:36.1949164Z - 2022-11-23T01:30:36.1949420Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.1949546Z { 2022-11-23T01:30:36.1949844Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1950042Z 'code': None, 2022-11-23T01:30:36.1950488Z 'obj_weakref': 2022-11-23T01:30:36.1951030Z 'guarded_class': 2022-11-23T01:30:36.1951159Z } 2022-11-23T01:30:36.1951285Z 2022-11-23T01:30:36.1951424Z - 2022-11-23T01:30:36.1951680Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.1951793Z { 2022-11-23T01:30:36.1952086Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1952307Z 'code': None, 2022-11-23T01:30:36.1952756Z 'obj_weakref': 2022-11-23T01:30:36.1953292Z 'guarded_class': 2022-11-23T01:30:36.1953421Z } 2022-11-23T01:30:36.1953550Z 2022-11-23T01:30:36.1953668Z - 2022-11-23T01:30:36.1953922Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.1954046Z { 2022-11-23T01:30:36.1954343Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.1954559Z 'code': None, 2022-11-23T01:30:36.1954998Z 'obj_weakref': 2022-11-23T01:30:36.1955528Z 'guarded_class': 2022-11-23T01:30:36.1955659Z } 2022-11-23T01:30:36.1955768Z 2022-11-23T01:30:36.1955907Z - 2022-11-23T01:30:36.1956184Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.1956309Z { 2022-11-23T01:30:36.1956585Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.1956935Z 'code': ['___check_obj_id(model, 140534427725984)'], 2022-11-23T01:30:36.1957162Z 'obj_weakref': None 2022-11-23T01:30:36.1957647Z 'guarded_class': 2022-11-23T01:30:36.1957774Z } 2022-11-23T01:30:36.1957901Z 2022-11-23T01:30:36.1958039Z - 2022-11-23T01:30:36.1958290Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.1958415Z { 2022-11-23T01:30:36.1958680Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.1959149Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.1959401Z 'obj_weakref': None 2022-11-23T01:30:36.1959920Z 'guarded_class': 2022-11-23T01:30:36.1960153Z } 2022-11-23T01:30:36.1960280Z 2022-11-23T01:30:36.1960422Z - 2022-11-23T01:30:36.1960679Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.1960813Z { 2022-11-23T01:30:36.1961063Z 'guard_types': None, 2022-11-23T01:30:36.1961288Z 'code': None, 2022-11-23T01:30:36.1961533Z 'obj_weakref': None 2022-11-23T01:30:36.1961783Z 'guarded_class': None 2022-11-23T01:30:36.1961912Z } 2022-11-23T01:30:36.1962022Z 2022-11-23T01:30:36.1962589Z [2022-11-23 01:27:15,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350 2022-11-23T01:30:36.1963303Z [2022-11-23 01:27:17,412] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ky/ckyqii44kowxjkq7h6twzcrxv3izmsfmvflejxx5ftr37p3s4bol.py 2022-11-23T01:30:36.1963944Z [2022-11-23 01:27:17,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350 2022-11-23T01:30:36.1963954Z 2022-11-23T01:30:36.1964142Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.1964281Z import torch 2022-11-23T01:30:36.1964421Z import random 2022-11-23T01:30:36.1964658Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.1964949Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.1964961Z 2022-11-23T01:30:36.1965122Z aten = torch.ops.aten 2022-11-23T01:30:36.1965398Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.1965583Z async_compile = AsyncCompile() 2022-11-23T01:30:36.1965592Z 2022-11-23T01:30:36.1965600Z 2022-11-23T01:30:36.1965887Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.1966318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.1966569Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.1966788Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.1966978Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.1967183Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.1967379Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.1967499Z { 2022-11-23T01:30:36.1967702Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.1967828Z { 2022-11-23T01:30:36.1967986Z #pragma omp for 2022-11-23T01:30:36.1968133Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1968258Z { 2022-11-23T01:30:36.1968416Z #pragma GCC ivdep 2022-11-23T01:30:36.1968590Z for(long i1=0; i1<197; i1+=1) 2022-11-23T01:30:36.1968713Z { 2022-11-23T01:30:36.1968880Z #pragma GCC ivdep 2022-11-23T01:30:36.1969066Z for(long i2=0; i2<38; i2+=1) 2022-11-23T01:30:36.1969177Z { 2022-11-23T01:30:36.1969311Z { 2022-11-23T01:30:36.1969455Z { 2022-11-23T01:30:36.1969673Z auto tmp3 = in_ptr0[i2 + (38*i0)]; 2022-11-23T01:30:36.1969893Z auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)]; 2022-11-23T01:30:36.1970110Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.1970325Z auto tmp1 = static_cast(0); 2022-11-23T01:30:36.1970496Z auto tmp2 = tmp0 == tmp1; 2022-11-23T01:30:36.1970699Z auto tmp5 = tmp2 ? tmp3 : tmp4; 2022-11-23T01:30:36.1970905Z out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5; 2022-11-23T01:30:36.1971042Z } 2022-11-23T01:30:36.1971175Z } 2022-11-23T01:30:36.1971303Z } 2022-11-23T01:30:36.1971434Z } 2022-11-23T01:30:36.1971542Z } 2022-11-23T01:30:36.1971696Z #pragma omp for 2022-11-23T01:30:36.1971859Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.1972072Z { 2022-11-23T01:30:36.1972240Z #pragma GCC ivdep 2022-11-23T01:30:36.1972419Z for(long i1=0; i1<7486; i1+=1) 2022-11-23T01:30:36.1972547Z { 2022-11-23T01:30:36.1972656Z { 2022-11-23T01:30:36.1972790Z { 2022-11-23T01:30:36.1972980Z auto tmp3 = in_ptr2[i1]; 2022-11-23T01:30:36.1973194Z auto tmp4 = in_ptr1[i1 + (7486*i0)]; 2022-11-23T01:30:36.1973406Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:36.1973622Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.1973814Z auto tmp2 = tmp0 == tmp1; 2022-11-23T01:30:36.1974000Z auto tmp5 = tmp2 ? tmp3 : tmp4; 2022-11-23T01:30:36.1974255Z out_ptr1[i1 + (7486*i0)] = tmp5; 2022-11-23T01:30:36.1974390Z } 2022-11-23T01:30:36.1974522Z } 2022-11-23T01:30:36.1974654Z } 2022-11-23T01:30:36.1974783Z } 2022-11-23T01:30:36.1974891Z } 2022-11-23T01:30:36.1975015Z } 2022-11-23T01:30:36.1975174Z ''') 2022-11-23T01:30:36.1975183Z 2022-11-23T01:30:36.1975192Z 2022-11-23T01:30:36.1975379Z async_compile.wait(globals()) 2022-11-23T01:30:36.1975525Z del async_compile 2022-11-23T01:30:36.1975535Z 2022-11-23T01:30:36.1975676Z def call(args): 2022-11-23T01:30:36.1975838Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.1975981Z args.clear() 2022-11-23T01:30:36.1976405Z buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1976848Z buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1977290Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.1977432Z del arg0_1 2022-11-23T01:30:36.1977568Z del arg1_1 2022-11-23T01:30:36.1977706Z del arg2_1 2022-11-23T01:30:36.1977865Z return (buf0, buf1, ) 2022-11-23T01:30:36.1977874Z 2022-11-23T01:30:36.1977883Z 2022-11-23T01:30:36.1978036Z if __name__ == "__main__": 2022-11-23T01:30:36.1978251Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.1978507Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.1978958Z arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1979375Z arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1979801Z arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.1980053Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.1980068Z 2022-11-23T01:30:36.1980199Z ok (1.511s) 2022-11-23T01:30:36.1980855Z test_sgn_cpu (__main__.CpuTests) ... [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.1981533Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.1981993Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.1982532Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.1983136Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.1983843Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1984618Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1985376Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.1986209Z [2022-11-23 01:27:17,418] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.1986403Z 671 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1986589Z 2 LOAD_METHOD 1 (sgn) 2022-11-23T01:30:36.1986755Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1986930Z 6 CALL_METHOD 1 2022-11-23T01:30:36.1987112Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.1987298Z 10 LOAD_METHOD 1 (sgn) 2022-11-23T01:30:36.1987524Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.1987702Z 14 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1987857Z 16 BINARY_ADD 2022-11-23T01:30:36.1988009Z 18 CALL_METHOD 1 2022-11-23T01:30:36.1988184Z 20 LOAD_CONST 1 (1) 2022-11-23T01:30:36.1988344Z 22 BINARY_SUBTRACT 2022-11-23T01:30:36.1988522Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.1988673Z 26 RETURN_VALUE 2022-11-23T01:30:36.1988797Z 2022-11-23T01:30:36.1988809Z 2022-11-23T01:30:36.1989503Z [2022-11-23 01:27:17,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:671 2022-11-23T01:30:36.1989976Z [2022-11-23 01:27:17,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.1990756Z [2022-11-23 01:27:17,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable()] 2022-11-23T01:30:36.1991459Z [2022-11-23 01:27:17,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.1992232Z [2022-11-23 01:27:17,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1992772Z [2022-11-23 01:27:17,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.1993642Z [2022-11-23 01:27:17,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1994404Z [2022-11-23 01:27:17,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.1995238Z [2022-11-23 01:27:17,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1996168Z [2022-11-23 01:27:17,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1997003Z [2022-11-23 01:27:17,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.1997578Z [2022-11-23 01:27:17,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1998267Z [2022-11-23 01:27:17,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.1998901Z [2022-11-23 01:27:17,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.1999425Z [2022-11-23 01:27:17,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2000357Z [2022-11-23 01:27:17,423] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2000895Z [2022-11-23 01:27:17,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2001398Z [2022-11-23 01:27:17,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2001945Z [2022-11-23 01:27:17,425] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2002484Z [2022-11-23 01:27:17,430] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2002946Z [2022-11-23 01:27:17,430] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2003234Z __compiled_fn_358 .2965 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2003417Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2003885Z call_function, sgn, , (ex_0_,), {} 2022-11-23T01:30:36.2004249Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.2004724Z call_function, sgn_1, , (add,), {} 2022-11-23T01:30:36.2005145Z call_function, sub, , (sgn_1, 1), {} 2022-11-23T01:30:36.2005355Z output, output, output, ((sgn, sub),), {} 2022-11-23T01:30:36.2005368Z 2022-11-23T01:30:36.2006090Z [2022-11-23 01:27:17,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2006284Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2006466Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2006629Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2006813Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2006986Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2007162Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2007314Z 12 RETURN_VALUE 2022-11-23T01:30:36.2007324Z 2022-11-23T01:30:36.2007448Z 2022-11-23T01:30:36.2008145Z [2022-11-23 01:27:17,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2008362Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_358) 2022-11-23T01:30:36.2008520Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2008694Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2008854Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2009029Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2009240Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2009442Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2009626Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2009760Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2009965Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2010142Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2010294Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2010470Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2010623Z 26 RETURN_VALUE 2022-11-23T01:30:36.2010633Z 2022-11-23T01:30:36.2010755Z 2022-11-23T01:30:36.2011116Z [2022-11-23 01:27:17,431] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2011256Z - 2022-11-23T01:30:36.2011505Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2011635Z { 2022-11-23T01:30:36.2011933Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2012415Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2012664Z 'obj_weakref': None 2022-11-23T01:30:36.2013122Z 'guarded_class': 2022-11-23T01:30:36.2013251Z } 2022-11-23T01:30:36.2013377Z 2022-11-23T01:30:36.2013516Z - 2022-11-23T01:30:36.2013774Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2013902Z { 2022-11-23T01:30:36.2014200Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2014399Z 'code': None, 2022-11-23T01:30:36.2014842Z 'obj_weakref': 2022-11-23T01:30:36.2015376Z 'guarded_class': 2022-11-23T01:30:36.2015583Z } 2022-11-23T01:30:36.2015715Z 2022-11-23T01:30:36.2015857Z - 2022-11-23T01:30:36.2016133Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2016255Z { 2022-11-23T01:30:36.2016545Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2016900Z 'code': ['___check_obj_id(model, 140534433004512)'], 2022-11-23T01:30:36.2017152Z 'obj_weakref': None 2022-11-23T01:30:36.2017645Z 'guarded_class': 2022-11-23T01:30:36.2017776Z } 2022-11-23T01:30:36.2017907Z 2022-11-23T01:30:36.2018027Z - 2022-11-23T01:30:36.2018281Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2018409Z { 2022-11-23T01:30:36.2018690Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2019160Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2019412Z 'obj_weakref': None 2022-11-23T01:30:36.2019886Z 'guarded_class': 2022-11-23T01:30:36.2019998Z } 2022-11-23T01:30:36.2020125Z 2022-11-23T01:30:36.2020261Z - 2022-11-23T01:30:36.2020541Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2020669Z { 2022-11-23T01:30:36.2020924Z 'guard_types': None, 2022-11-23T01:30:36.2021143Z 'code': None, 2022-11-23T01:30:36.2021371Z 'obj_weakref': None 2022-11-23T01:30:36.2021630Z 'guarded_class': None 2022-11-23T01:30:36.2021758Z } 2022-11-23T01:30:36.2021885Z 2022-11-23T01:30:36.2022446Z [2022-11-23 01:27:17,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351 2022-11-23T01:30:36.2023257Z [2022-11-23 01:27:18,921] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvhslmejnfp4tdmxb5bjmvvukw6d36be65dwoloz546yaedt7xe3.py 2022-11-23T01:30:36.2023838Z [2022-11-23 01:27:18,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351 2022-11-23T01:30:36.2023849Z 2022-11-23T01:30:36.2024044Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2024166Z import torch 2022-11-23T01:30:36.2024311Z import random 2022-11-23T01:30:36.2024549Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2024802Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2024817Z 2022-11-23T01:30:36.2024975Z aten = torch.ops.aten 2022-11-23T01:30:36.2025257Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2025445Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2025455Z 2022-11-23T01:30:36.2025465Z 2022-11-23T01:30:36.2025741Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2026162Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2026413Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2026675Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2026881Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.2027001Z { 2022-11-23T01:30:36.2027202Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2027327Z { 2022-11-23T01:30:36.2027462Z #pragma omp for 2022-11-23T01:30:36.2027629Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:30:36.2027754Z { 2022-11-23T01:30:36.2028051Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.2028407Z auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0); 2022-11-23T01:30:36.2028769Z auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0)); 2022-11-23T01:30:36.2029102Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:36.2029374Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.2029528Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:36.2029870Z auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5); 2022-11-23T01:30:36.2030217Z auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0)); 2022-11-23T01:30:36.2030475Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:30:36.2030728Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:30:36.2030920Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2031102Z tmp9.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.2031226Z } 2022-11-23T01:30:36.2031399Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2031570Z for(long i0=40; i0<41; i0+=1) 2022-11-23T01:30:36.2031693Z { 2022-11-23T01:30:36.2031870Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2032042Z auto tmp1 = tmp0 > 0 ? 1 : 0; 2022-11-23T01:30:36.2032214Z auto tmp2 = tmp0 < 0 ? 1 : 0; 2022-11-23T01:30:36.2032476Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:36.2032655Z auto tmp4 = static_cast(1); 2022-11-23T01:30:36.2032829Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:36.2033000Z auto tmp6 = tmp5 > 0 ? 1 : 0; 2022-11-23T01:30:36.2033172Z auto tmp7 = tmp5 < 0 ? 1 : 0; 2022-11-23T01:30:36.2033428Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:30:36.2033683Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:30:36.2033841Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.2033978Z out_ptr1[i0] = tmp9; 2022-11-23T01:30:36.2034101Z } 2022-11-23T01:30:36.2034223Z } 2022-11-23T01:30:36.2034343Z } 2022-11-23T01:30:36.2034501Z ''') 2022-11-23T01:30:36.2034511Z 2022-11-23T01:30:36.2034519Z 2022-11-23T01:30:36.2034706Z async_compile.wait(globals()) 2022-11-23T01:30:36.2034852Z del async_compile 2022-11-23T01:30:36.2034862Z 2022-11-23T01:30:36.2034986Z def call(args): 2022-11-23T01:30:36.2035170Z arg0_1, = args 2022-11-23T01:30:36.2035311Z args.clear() 2022-11-23T01:30:36.2035719Z buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2036121Z buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2036461Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2036597Z del arg0_1 2022-11-23T01:30:36.2036732Z return (buf0, buf1, ) 2022-11-23T01:30:36.2036741Z 2022-11-23T01:30:36.2036775Z 2022-11-23T01:30:36.2036904Z if __name__ == "__main__": 2022-11-23T01:30:36.2037136Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2037388Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2037791Z arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2038017Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2038028Z 2022-11-23T01:30:36.2038158Z ok (1.508s) 2022-11-23T01:30:36.2038883Z test_sgn_extremal_cpu (__main__.CpuTests) ... [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2039566Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2040097Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2040641Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2041243Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2041954Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2042773Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2043472Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2044299Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2044494Z 677 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2044681Z 2 LOAD_METHOD 1 (sgn) 2022-11-23T01:30:36.2044938Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2045125Z 6 CALL_METHOD 1 2022-11-23T01:30:36.2045308Z 8 BUILD_TUPLE 1 2022-11-23T01:30:36.2045463Z 10 RETURN_VALUE 2022-11-23T01:30:36.2045586Z 2022-11-23T01:30:36.2045602Z 2022-11-23T01:30:36.2046296Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:677 2022-11-23T01:30:36.2046773Z [2022-11-23 01:27:18,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2047561Z [2022-11-23 01:27:18,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable()] 2022-11-23T01:30:36.2048259Z [2022-11-23 01:27:18,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2049018Z [2022-11-23 01:27:18,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2049551Z [2022-11-23 01:27:18,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.2050083Z [2022-11-23 01:27:18,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2050919Z [2022-11-23 01:27:18,928] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2051445Z [2022-11-23 01:27:18,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2051945Z [2022-11-23 01:27:18,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2052495Z [2022-11-23 01:27:18,929] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2053045Z [2022-11-23 01:27:18,931] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2053520Z [2022-11-23 01:27:18,931] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2053797Z __compiled_fn_359 .2971 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2053961Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2054436Z call_function, sgn, , (ex_0_,), {} 2022-11-23T01:30:36.2054631Z output, output, output, ((sgn,),), {} 2022-11-23T01:30:36.2054643Z 2022-11-23T01:30:36.2055349Z [2022-11-23 01:27:18,932] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2055536Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2055714Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2055888Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2056134Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2056287Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2056471Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2056629Z 12 RETURN_VALUE 2022-11-23T01:30:36.2056640Z 2022-11-23T01:30:36.2056758Z 2022-11-23T01:30:36.2057480Z [2022-11-23 01:27:18,932] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2057710Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_359) 2022-11-23T01:30:36.2057892Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2058052Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2058205Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2058381Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2058590Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2058796Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2058979Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2059132Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2059292Z 18 BUILD_TUPLE 1 2022-11-23T01:30:36.2059446Z 20 RETURN_VALUE 2022-11-23T01:30:36.2059455Z 2022-11-23T01:30:36.2059575Z 2022-11-23T01:30:36.2059960Z [2022-11-23 01:27:18,933] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2060100Z - 2022-11-23T01:30:36.2060347Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2060478Z { 2022-11-23T01:30:36.2060760Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2061150Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2061406Z 'obj_weakref': None 2022-11-23T01:30:36.2061875Z 'guarded_class': 2022-11-23T01:30:36.2062011Z } 2022-11-23T01:30:36.2062134Z 2022-11-23T01:30:36.2062273Z - 2022-11-23T01:30:36.2062517Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2062644Z { 2022-11-23T01:30:36.2062947Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2063167Z 'code': None, 2022-11-23T01:30:36.2063611Z 'obj_weakref': 2022-11-23T01:30:36.2064140Z 'guarded_class': 2022-11-23T01:30:36.2064271Z } 2022-11-23T01:30:36.2064400Z 2022-11-23T01:30:36.2064517Z - 2022-11-23T01:30:36.2064785Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2064914Z { 2022-11-23T01:30:36.2065198Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2065550Z 'code': ['___check_obj_id(model, 140534621983440)'], 2022-11-23T01:30:36.2065804Z 'obj_weakref': None 2022-11-23T01:30:36.2066286Z 'guarded_class': 2022-11-23T01:30:36.2066440Z } 2022-11-23T01:30:36.2066577Z 2022-11-23T01:30:36.2066718Z - 2022-11-23T01:30:36.2066971Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2067095Z { 2022-11-23T01:30:36.2067407Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2067842Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2068083Z 'obj_weakref': None 2022-11-23T01:30:36.2068551Z 'guarded_class': 2022-11-23T01:30:36.2068681Z } 2022-11-23T01:30:36.2068806Z 2022-11-23T01:30:36.2068945Z - 2022-11-23T01:30:36.2069219Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2069370Z { 2022-11-23T01:30:36.2069620Z 'guard_types': None, 2022-11-23T01:30:36.2069839Z 'code': None, 2022-11-23T01:30:36.2070087Z 'obj_weakref': None 2022-11-23T01:30:36.2070343Z 'guarded_class': None 2022-11-23T01:30:36.2070466Z } 2022-11-23T01:30:36.2070595Z 2022-11-23T01:30:36.2071131Z [2022-11-23 01:27:18,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352 2022-11-23T01:30:36.2071922Z [2022-11-23 01:27:20,411] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4x/c4xp2tq7hjuvw7lljs63harcjqiam5vaofel2vtmbbc5jwnokfur.py 2022-11-23T01:30:36.2072500Z [2022-11-23 01:27:20,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352 2022-11-23T01:30:36.2072510Z 2022-11-23T01:30:36.2072703Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2072846Z import torch 2022-11-23T01:30:36.2072989Z import random 2022-11-23T01:30:36.2073233Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2073486Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2073498Z 2022-11-23T01:30:36.2073641Z aten = torch.ops.aten 2022-11-23T01:30:36.2073921Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2074114Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2074123Z 2022-11-23T01:30:36.2074133Z 2022-11-23T01:30:36.2074414Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2074852Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2075100Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2075301Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.2075423Z { 2022-11-23T01:30:36.2075606Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2075730Z { 2022-11-23T01:30:36.2075885Z #pragma omp for 2022-11-23T01:30:36.2076049Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.2076180Z { 2022-11-23T01:30:36.2076309Z { 2022-11-23T01:30:36.2076431Z { 2022-11-23T01:30:36.2076603Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2076789Z auto tmp1 = tmp0 > 0 ? 1 : 0; 2022-11-23T01:30:36.2076972Z auto tmp2 = tmp0 < 0 ? 1 : 0; 2022-11-23T01:30:36.2077255Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:36.2077423Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.2077552Z } 2022-11-23T01:30:36.2077678Z } 2022-11-23T01:30:36.2077785Z } 2022-11-23T01:30:36.2077906Z } 2022-11-23T01:30:36.2078029Z } 2022-11-23T01:30:36.2078198Z ''') 2022-11-23T01:30:36.2078207Z 2022-11-23T01:30:36.2078216Z 2022-11-23T01:30:36.2078400Z async_compile.wait(globals()) 2022-11-23T01:30:36.2078547Z del async_compile 2022-11-23T01:30:36.2078557Z 2022-11-23T01:30:36.2078698Z def call(args): 2022-11-23T01:30:36.2078824Z arg0_1, = args 2022-11-23T01:30:36.2078966Z args.clear() 2022-11-23T01:30:36.2079374Z buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2079698Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.2079840Z del arg0_1 2022-11-23T01:30:36.2080056Z return (buf0, ) 2022-11-23T01:30:36.2080067Z 2022-11-23T01:30:36.2080075Z 2022-11-23T01:30:36.2080231Z if __name__ == "__main__": 2022-11-23T01:30:36.2080472Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2080710Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2081124Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2081349Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2081358Z 2022-11-23T01:30:36.2081496Z ok (1.490s) 2022-11-23T01:30:36.2082160Z test_sigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:27:20,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2082910Z [2022-11-23 01:27:20,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2083388Z [2022-11-23 01:27:20,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2083938Z [2022-11-23 01:27:20,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2084532Z [2022-11-23 01:27:20,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2085317Z [2022-11-23 01:27:20,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2086089Z [2022-11-23 01:27:20,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2086802Z [2022-11-23 01:27:20,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2087631Z [2022-11-23 01:27:20,419] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2087824Z 1007 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2088016Z 2 LOAD_METHOD 1 (sigmoid) 2022-11-23T01:30:36.2088197Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2088380Z 6 CALL_METHOD 1 2022-11-23T01:30:36.2088552Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2088779Z 10 LOAD_METHOD 1 (sigmoid) 2022-11-23T01:30:36.2088963Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2089147Z 14 LOAD_FAST 1 (b) 2022-11-23T01:30:36.2089304Z 16 BINARY_ADD 2022-11-23T01:30:36.2089480Z 18 CALL_METHOD 1 2022-11-23T01:30:36.2089668Z 20 BUILD_TUPLE 2 2022-11-23T01:30:36.2089799Z 22 RETURN_VALUE 2022-11-23T01:30:36.2089933Z 2022-11-23T01:30:36.2089943Z 2022-11-23T01:30:36.2090635Z [2022-11-23 01:27:20,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1007 2022-11-23T01:30:36.2091105Z [2022-11-23 01:27:20,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2091925Z [2022-11-23 01:27:20,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable()] 2022-11-23T01:30:36.2092647Z [2022-11-23 01:27:20,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2093526Z [2022-11-23 01:27:20,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2094072Z [2022-11-23 01:27:20,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.2094955Z [2022-11-23 01:27:20,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2095728Z [2022-11-23 01:27:20,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2096575Z [2022-11-23 01:27:20,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2097573Z [2022-11-23 01:27:20,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2098423Z [2022-11-23 01:27:20,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2099018Z [2022-11-23 01:27:20,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2099560Z [2022-11-23 01:27:20,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2100400Z [2022-11-23 01:27:20,426] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2100932Z [2022-11-23 01:27:20,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2101443Z [2022-11-23 01:27:20,427] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2101995Z [2022-11-23 01:27:20,428] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2102530Z [2022-11-23 01:27:20,434] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2102939Z [2022-11-23 01:27:20,435] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2103217Z __compiled_fn_360 .2977 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2103385Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2103514Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.2103975Z call_function, sigmoid, , (ex_0_,), {} 2022-11-23T01:30:36.2104356Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.2104864Z call_function, sigmoid_1, , (add,), {} 2022-11-23T01:30:36.2105100Z output, output, output, ((sigmoid, sigmoid_1),), {} 2022-11-23T01:30:36.2105112Z 2022-11-23T01:30:36.2105834Z [2022-11-23 01:27:20,435] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2106023Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2106183Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2106360Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2106541Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2106713Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2106892Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2107043Z 12 RETURN_VALUE 2022-11-23T01:30:36.2107059Z 2022-11-23T01:30:36.2107181Z 2022-11-23T01:30:36.2107934Z [2022-11-23 01:27:20,436] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2108160Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_360) 2022-11-23T01:30:36.2108342Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2108524Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2108681Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2108860Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2109037Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2109188Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.2109348Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.2109555Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2109763Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2109939Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2110177Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2110382Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2110568Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2110701Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.2110877Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.2111028Z 32 RETURN_VALUE 2022-11-23T01:30:36.2111039Z 2022-11-23T01:30:36.2111158Z 2022-11-23T01:30:36.2111547Z [2022-11-23 01:27:20,437] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2111689Z - 2022-11-23T01:30:36.2111935Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2112046Z { 2022-11-23T01:30:36.2112345Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2112736Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.2112986Z 'obj_weakref': None 2022-11-23T01:30:36.2113465Z 'guarded_class': 2022-11-23T01:30:36.2113600Z } 2022-11-23T01:30:36.2113725Z 2022-11-23T01:30:36.2113853Z - 2022-11-23T01:30:36.2114101Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2114199Z { 2022-11-23T01:30:36.2114406Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2114573Z 'code': None, 2022-11-23T01:30:36.2114988Z 'obj_weakref': 2022-11-23T01:30:36.2115530Z 'guarded_class': 2022-11-23T01:30:36.2115642Z } 2022-11-23T01:30:36.2115773Z 2022-11-23T01:30:36.2115911Z - 2022-11-23T01:30:36.2116173Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.2116305Z { 2022-11-23T01:30:36.2116602Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2116832Z 'code': None, 2022-11-23T01:30:36.2117271Z 'obj_weakref': 2022-11-23T01:30:36.2117816Z 'guarded_class': 2022-11-23T01:30:36.2117948Z } 2022-11-23T01:30:36.2118075Z 2022-11-23T01:30:36.2118216Z - 2022-11-23T01:30:36.2118493Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2118624Z { 2022-11-23T01:30:36.2118880Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2119237Z 'code': ['___check_obj_id(model, 140534427715184)'], 2022-11-23T01:30:36.2119484Z 'obj_weakref': None 2022-11-23T01:30:36.2119976Z 'guarded_class': 2022-11-23T01:30:36.2120173Z } 2022-11-23T01:30:36.2120304Z 2022-11-23T01:30:36.2120453Z - 2022-11-23T01:30:36.2120690Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2120812Z { 2022-11-23T01:30:36.2121166Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2121641Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2121892Z 'obj_weakref': None 2022-11-23T01:30:36.2122372Z 'guarded_class': 2022-11-23T01:30:36.2122502Z } 2022-11-23T01:30:36.2122613Z 2022-11-23T01:30:36.2122755Z - 2022-11-23T01:30:36.2123032Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2123163Z { 2022-11-23T01:30:36.2123413Z 'guard_types': None, 2022-11-23T01:30:36.2123635Z 'code': None, 2022-11-23T01:30:36.2123884Z 'obj_weakref': None 2022-11-23T01:30:36.2124122Z 'guarded_class': None 2022-11-23T01:30:36.2131979Z } 2022-11-23T01:30:36.2132145Z 2022-11-23T01:30:36.2132774Z [2022-11-23 01:27:20,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353 2022-11-23T01:30:36.2133596Z [2022-11-23 01:27:21,948] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yu/cyusd6drkota4capucqvpvrcn2bev774zut4ach52chxormogxqc.py 2022-11-23T01:30:36.2134181Z [2022-11-23 01:27:21,949] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353 2022-11-23T01:30:36.2134192Z 2022-11-23T01:30:36.2134385Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2134528Z import torch 2022-11-23T01:30:36.2134679Z import random 2022-11-23T01:30:36.2134916Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2135170Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2135180Z 2022-11-23T01:30:36.2135318Z aten = torch.ops.aten 2022-11-23T01:30:36.2135597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2135793Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2135804Z 2022-11-23T01:30:36.2135813Z 2022-11-23T01:30:36.2136096Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2136530Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2136779Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2136994Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.2137194Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2137367Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.2137493Z { 2022-11-23T01:30:36.2137699Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2137832Z { 2022-11-23T01:30:36.2137988Z #pragma omp for 2022-11-23T01:30:36.2138164Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2138293Z { 2022-11-23T01:30:36.2138578Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.2138855Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.2139138Z auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp()); 2022-11-23T01:30:36.2139311Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.2139591Z auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp()); 2022-11-23T01:30:36.2139784Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2139966Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.2140074Z } 2022-11-23T01:30:36.2140268Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2140443Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.2140570Z { 2022-11-23T01:30:36.2140737Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2140905Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.2141185Z auto tmp1 = std::exp(-tmp0); 2022-11-23T01:30:36.2141338Z auto tmp2 = 1 / (1 + tmp1); 2022-11-23T01:30:36.2141515Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:36.2141788Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:30:36.2142113Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:30:36.2142281Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.2142443Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:36.2142570Z } 2022-11-23T01:30:36.2142674Z } 2022-11-23T01:30:36.2142801Z } 2022-11-23T01:30:36.2142962Z ''') 2022-11-23T01:30:36.2142972Z 2022-11-23T01:30:36.2142983Z 2022-11-23T01:30:36.2143168Z async_compile.wait(globals()) 2022-11-23T01:30:36.2143334Z del async_compile 2022-11-23T01:30:36.2143343Z 2022-11-23T01:30:36.2143492Z def call(args): 2022-11-23T01:30:36.2143646Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.2143771Z args.clear() 2022-11-23T01:30:36.2144191Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2144609Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2145086Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2145227Z del arg0_1 2022-11-23T01:30:36.2145368Z del arg1_1 2022-11-23T01:30:36.2145526Z return (buf0, buf1, ) 2022-11-23T01:30:36.2145536Z 2022-11-23T01:30:36.2145546Z 2022-11-23T01:30:36.2145703Z if __name__ == "__main__": 2022-11-23T01:30:36.2145919Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2146173Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2146587Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2146998Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2147236Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.2147245Z 2022-11-23T01:30:36.2147382Z ok (1.537s) 2022-11-23T01:30:36.2148043Z test_signbit_cpu (__main__.CpuTests) ... [2022-11-23 01:27:21,953] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2148758Z [2022-11-23 01:27:21,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2149235Z [2022-11-23 01:27:21,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2149770Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2150376Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2151088Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2151843Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2152564Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2153390Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2153589Z 2657 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2153782Z 2 LOAD_METHOD 1 (signbit) 2022-11-23T01:30:36.2153966Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2154126Z 6 CALL_METHOD 1 2022-11-23T01:30:36.2154316Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2154505Z 10 LOAD_METHOD 1 (signbit) 2022-11-23T01:30:36.2154690Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2154852Z 14 UNARY_NEGATIVE 2022-11-23T01:30:36.2155026Z 16 CALL_METHOD 1 2022-11-23T01:30:36.2155226Z 18 UNARY_INVERT 2022-11-23T01:30:36.2155386Z 20 LOAD_CONST 1 (1) 2022-11-23T01:30:36.2155534Z 22 BINARY_AND 2022-11-23T01:30:36.2155764Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2155918Z 26 RETURN_VALUE 2022-11-23T01:30:36.2156040Z 2022-11-23T01:30:36.2156052Z 2022-11-23T01:30:36.2156750Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2657 2022-11-23T01:30:36.2157234Z [2022-11-23 01:27:21,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2158057Z [2022-11-23 01:27:21,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable()] 2022-11-23T01:30:36.2158832Z [2022-11-23 01:27:21,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.2159609Z [2022-11-23 01:27:21,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2160250Z [2022-11-23 01:27:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.2161143Z [2022-11-23 01:27:21,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2161934Z [2022-11-23 01:27:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2162818Z [2022-11-23 01:27:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2163672Z [2022-11-23 01:27:21,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2164286Z [2022-11-23 01:27:21,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2164981Z [2022-11-23 01:27:21,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2165676Z [2022-11-23 01:27:21,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2166256Z [2022-11-23 01:27:21,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2166807Z [2022-11-23 01:27:21,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2167628Z [2022-11-23 01:27:21,960] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2168162Z [2022-11-23 01:27:21,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2168675Z [2022-11-23 01:27:21,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2169230Z [2022-11-23 01:27:21,962] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2169771Z [2022-11-23 01:27:21,966] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2170175Z [2022-11-23 01:27:21,966] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2170456Z __compiled_fn_361 .2983 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2170711Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2171226Z call_function, signbit, , (ex_0_,), {} 2022-11-23T01:30:36.2171568Z call_function, neg, , (ex_0_,), {} 2022-11-23T01:30:36.2172071Z call_function, signbit_1, , (neg,), {} 2022-11-23T01:30:36.2172480Z call_function, invert, , (signbit_1,), {} 2022-11-23T01:30:36.2172857Z call_function, and_, , (invert, 1), {} 2022-11-23T01:30:36.2173089Z output, output, output, ((signbit, and_),), {} 2022-11-23T01:30:36.2173100Z 2022-11-23T01:30:36.2173839Z [2022-11-23 01:27:21,967] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2174083Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2174266Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2174423Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2174609Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2174782Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2174963Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2175121Z 12 RETURN_VALUE 2022-11-23T01:30:36.2175130Z 2022-11-23T01:30:36.2175251Z 2022-11-23T01:30:36.2175963Z [2022-11-23 01:27:21,967] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2176184Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_361) 2022-11-23T01:30:36.2176340Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2176519Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2176684Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2176865Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2177079Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2177287Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2177464Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2177608Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2177814Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2177991Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2178144Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2178324Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2178472Z 26 RETURN_VALUE 2022-11-23T01:30:36.2178484Z 2022-11-23T01:30:36.2178605Z 2022-11-23T01:30:36.2178968Z [2022-11-23 01:27:21,967] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2179106Z - 2022-11-23T01:30:36.2179359Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2179491Z { 2022-11-23T01:30:36.2179786Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2180185Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2180439Z 'obj_weakref': None 2022-11-23T01:30:36.2180918Z 'guarded_class': 2022-11-23T01:30:36.2181030Z } 2022-11-23T01:30:36.2181159Z 2022-11-23T01:30:36.2181297Z - 2022-11-23T01:30:36.2181560Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2181690Z { 2022-11-23T01:30:36.2181990Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2182191Z 'code': None, 2022-11-23T01:30:36.2182647Z 'obj_weakref': 2022-11-23T01:30:36.2183185Z 'guarded_class': 2022-11-23T01:30:36.2183328Z } 2022-11-23T01:30:36.2183455Z 2022-11-23T01:30:36.2183597Z - 2022-11-23T01:30:36.2183933Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2184044Z { 2022-11-23T01:30:36.2184331Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2184698Z 'code': ['___check_obj_id(model, 140534626717408)'], 2022-11-23T01:30:36.2184954Z 'obj_weakref': None 2022-11-23T01:30:36.2185451Z 'guarded_class': 2022-11-23T01:30:36.2185580Z } 2022-11-23T01:30:36.2185720Z 2022-11-23T01:30:36.2185838Z - 2022-11-23T01:30:36.2186097Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2186228Z { 2022-11-23T01:30:36.2186523Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2186996Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2187290Z 'obj_weakref': None 2022-11-23T01:30:36.2187777Z 'guarded_class': 2022-11-23T01:30:36.2187910Z } 2022-11-23T01:30:36.2188019Z 2022-11-23T01:30:36.2188159Z - 2022-11-23T01:30:36.2188443Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2188572Z { 2022-11-23T01:30:36.2188831Z 'guard_types': None, 2022-11-23T01:30:36.2189054Z 'code': None, 2022-11-23T01:30:36.2189285Z 'obj_weakref': None 2022-11-23T01:30:36.2189540Z 'guarded_class': None 2022-11-23T01:30:36.2189668Z } 2022-11-23T01:30:36.2189796Z 2022-11-23T01:30:36.2190356Z [2022-11-23 01:27:21,976] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354 2022-11-23T01:30:36.2191179Z [2022-11-23 01:27:23,501] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ro/crozuhtxmpzttqo5fhfrrcsimqwnzmry5ist5ydaqo2rrhuposit.py 2022-11-23T01:30:36.2191757Z [2022-11-23 01:27:23,501] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354 2022-11-23T01:30:36.2191771Z 2022-11-23T01:30:36.2191970Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2192091Z import torch 2022-11-23T01:30:36.2192233Z import random 2022-11-23T01:30:36.2192480Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2192736Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2192746Z 2022-11-23T01:30:36.2192907Z aten = torch.ops.aten 2022-11-23T01:30:36.2193190Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2193380Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2193390Z 2022-11-23T01:30:36.2193400Z 2022-11-23T01:30:36.2193684Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2194103Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2194351Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2194554Z bool* __restrict__ out_ptr0, 2022-11-23T01:30:36.2194749Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.2194874Z { 2022-11-23T01:30:36.2195078Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2195204Z { 2022-11-23T01:30:36.2195340Z #pragma omp for 2022-11-23T01:30:36.2195510Z for(long i0=0; i0<72; i0+=1) 2022-11-23T01:30:36.2195641Z { 2022-11-23T01:30:36.2195775Z { 2022-11-23T01:30:36.2195906Z { 2022-11-23T01:30:36.2196093Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2196316Z auto tmp1 = std::signbit(tmp0); 2022-11-23T01:30:36.2196550Z auto tmp2 = -tmp0; 2022-11-23T01:30:36.2196761Z auto tmp3 = std::signbit(tmp2); 2022-11-23T01:30:36.2196946Z auto tmp4 = tmp3 == 0; 2022-11-23T01:30:36.2197165Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:30:36.2197430Z auto tmp6 = static_cast(1); 2022-11-23T01:30:36.2197619Z auto tmp7 = tmp5 & tmp6; 2022-11-23T01:30:36.2197788Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.2197942Z out_ptr1[i0] = tmp7; 2022-11-23T01:30:36.2198076Z } 2022-11-23T01:30:36.2198206Z } 2022-11-23T01:30:36.2198345Z } 2022-11-23T01:30:36.2198473Z } 2022-11-23T01:30:36.2198593Z } 2022-11-23T01:30:36.2198755Z ''') 2022-11-23T01:30:36.2198765Z 2022-11-23T01:30:36.2198776Z 2022-11-23T01:30:36.2198940Z async_compile.wait(globals()) 2022-11-23T01:30:36.2199087Z del async_compile 2022-11-23T01:30:36.2199098Z 2022-11-23T01:30:36.2199245Z def call(args): 2022-11-23T01:30:36.2199385Z arg0_1, = args 2022-11-23T01:30:36.2199592Z args.clear() 2022-11-23T01:30:36.2200128Z buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.2200587Z buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.2200911Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2201047Z del arg0_1 2022-11-23T01:30:36.2201212Z return (buf0, buf1, ) 2022-11-23T01:30:36.2201222Z 2022-11-23T01:30:36.2201231Z 2022-11-23T01:30:36.2201389Z if __name__ == "__main__": 2022-11-23T01:30:36.2201625Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2201884Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2202334Z arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2202560Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2202569Z 2022-11-23T01:30:36.2202707Z ok (1.552s) 2022-11-23T01:30:36.2203355Z test_silu_cpu (__main__.CpuTests) ... [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2204072Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2204547Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2205204Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2205751Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2206435Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2207213Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2207952Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2208786Z [2022-11-23 01:27:23,506] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2208983Z 1037 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2209146Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:36.2209357Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:36.2209547Z 6 LOAD_METHOD 3 (silu) 2022-11-23T01:30:36.2209730Z 8 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2209911Z 10 CALL_METHOD 1 2022-11-23T01:30:36.2210097Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.2210252Z 14 RETURN_VALUE 2022-11-23T01:30:36.2210355Z 2022-11-23T01:30:36.2210364Z 2022-11-23T01:30:36.2211144Z [2022-11-23 01:27:23,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1037 2022-11-23T01:30:36.2211623Z [2022-11-23 01:27:23,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2212418Z [2022-11-23 01:27:23,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:36.2213250Z [2022-11-23 01:27:23,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:36.2214131Z [2022-11-23 01:27:23,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable()] 2022-11-23T01:30:36.2214827Z [2022-11-23 01:27:23,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2215527Z [2022-11-23 01:27:23,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2216064Z [2022-11-23 01:27:23,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.2216499Z [2022-11-23 01:27:23,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2217105Z [2022-11-23 01:27:23,510] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2217627Z [2022-11-23 01:27:23,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2218172Z [2022-11-23 01:27:23,510] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2218732Z [2022-11-23 01:27:23,511] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2219273Z [2022-11-23 01:27:23,514] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2219684Z [2022-11-23 01:27:23,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2219967Z __compiled_fn_362 .2989 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2220150Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2220420Z call_function, silu, , (ex_0_,), {} 2022-11-23T01:30:36.2220603Z output, output, output, ((silu,),), {} 2022-11-23T01:30:36.2220636Z 2022-11-23T01:30:36.2221319Z [2022-11-23 01:27:23,515] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2221524Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2221713Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2221892Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2222081Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2222255Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2222436Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2222572Z 12 RETURN_VALUE 2022-11-23T01:30:36.2222582Z 2022-11-23T01:30:36.2222702Z 2022-11-23T01:30:36.2223417Z [2022-11-23 01:27:23,515] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2223646Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_362) 2022-11-23T01:30:36.2223827Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2224015Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2224177Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2224431Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2224625Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2224830Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2225014Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2225167Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2225344Z 18 BUILD_TUPLE 1 2022-11-23T01:30:36.2225500Z 20 RETURN_VALUE 2022-11-23T01:30:36.2225511Z 2022-11-23T01:30:36.2225627Z 2022-11-23T01:30:36.2225995Z [2022-11-23 01:27:23,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2226170Z - 2022-11-23T01:30:36.2226420Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2226547Z { 2022-11-23T01:30:36.2226842Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2227314Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2227574Z 'obj_weakref': None 2022-11-23T01:30:36.2228034Z 'guarded_class': 2022-11-23T01:30:36.2228165Z } 2022-11-23T01:30:36.2228299Z 2022-11-23T01:30:36.2228439Z - 2022-11-23T01:30:36.2228703Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2228835Z { 2022-11-23T01:30:36.2229142Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2229341Z 'code': None, 2022-11-23T01:30:36.2229795Z 'obj_weakref': 2022-11-23T01:30:36.2230345Z 'guarded_class': 2022-11-23T01:30:36.2230478Z } 2022-11-23T01:30:36.2230614Z 2022-11-23T01:30:36.2230758Z - 2022-11-23T01:30:36.2231033Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2231144Z { 2022-11-23T01:30:36.2231434Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2231797Z 'code': ['___check_obj_id(model, 140534625206336)'], 2022-11-23T01:30:36.2232052Z 'obj_weakref': None 2022-11-23T01:30:36.2232538Z 'guarded_class': 2022-11-23T01:30:36.2232667Z } 2022-11-23T01:30:36.2232797Z 2022-11-23T01:30:36.2232917Z - 2022-11-23T01:30:36.2233171Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2233308Z { 2022-11-23T01:30:36.2233592Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2234049Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2234292Z 'obj_weakref': None 2022-11-23T01:30:36.2234768Z 'guarded_class': 2022-11-23T01:30:36.2234879Z } 2022-11-23T01:30:36.2235009Z 2022-11-23T01:30:36.2235153Z - 2022-11-23T01:30:36.2235432Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2235563Z { 2022-11-23T01:30:36.2235811Z 'guard_types': None, 2022-11-23T01:30:36.2236027Z 'code': None, 2022-11-23T01:30:36.2236250Z 'obj_weakref': None 2022-11-23T01:30:36.2236502Z 'guarded_class': None 2022-11-23T01:30:36.2236630Z } 2022-11-23T01:30:36.2236756Z 2022-11-23T01:30:36.2237323Z [2022-11-23 01:27:23,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355 2022-11-23T01:30:36.2238128Z [2022-11-23 01:27:24,958] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oy/coylj5ojiusgjiysjq5tu4mvztw6hreivdooqyhr6o53pwq63mxg.py 2022-11-23T01:30:36.2238711Z [2022-11-23 01:27:24,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355 2022-11-23T01:30:36.2238724Z 2022-11-23T01:30:36.2238962Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2239088Z import torch 2022-11-23T01:30:36.2239231Z import random 2022-11-23T01:30:36.2239478Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2239733Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2239745Z 2022-11-23T01:30:36.2239902Z aten = torch.ops.aten 2022-11-23T01:30:36.2240265Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2240455Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2240464Z 2022-11-23T01:30:36.2240472Z 2022-11-23T01:30:36.2240735Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2241169Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2241419Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2241677Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.2241801Z { 2022-11-23T01:30:36.2242017Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2242146Z { 2022-11-23T01:30:36.2242304Z #pragma omp for 2022-11-23T01:30:36.2242451Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2242584Z { 2022-11-23T01:30:36.2242879Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.2243167Z auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp()); 2022-11-23T01:30:36.2243345Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.2243541Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2243675Z } 2022-11-23T01:30:36.2243849Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2244019Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.2244148Z { 2022-11-23T01:30:36.2244323Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2244608Z auto tmp1 = std::exp(-tmp0); 2022-11-23T01:30:36.2244867Z auto tmp2 = 1 / (1 + tmp1); 2022-11-23T01:30:36.2245053Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:30:36.2245193Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.2245321Z } 2022-11-23T01:30:36.2245444Z } 2022-11-23T01:30:36.2245568Z } 2022-11-23T01:30:36.2245732Z ''') 2022-11-23T01:30:36.2245741Z 2022-11-23T01:30:36.2245749Z 2022-11-23T01:30:36.2245942Z async_compile.wait(globals()) 2022-11-23T01:30:36.2246095Z del async_compile 2022-11-23T01:30:36.2246105Z 2022-11-23T01:30:36.2246229Z def call(args): 2022-11-23T01:30:36.2246368Z arg0_1, = args 2022-11-23T01:30:36.2246516Z args.clear() 2022-11-23T01:30:36.2246939Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2247225Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.2247369Z del arg0_1 2022-11-23T01:30:36.2247525Z return (buf0, ) 2022-11-23T01:30:36.2247534Z 2022-11-23T01:30:36.2247542Z 2022-11-23T01:30:36.2247677Z if __name__ == "__main__": 2022-11-23T01:30:36.2247917Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2248174Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2248596Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2248820Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2248830Z 2022-11-23T01:30:36.2248969Z ok (1.457s) 2022-11-23T01:30:36.2249653Z test_simplify_loops_cpu (__main__.CpuTests) ... [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2250363Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2250849Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2251394Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2252095Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2252828Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2253594Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2254313Z [2022-11-23 01:27:24,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2255161Z [2022-11-23 01:27:24,964] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2255416Z 1282 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2255606Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.2255757Z 4 BINARY_ADD 2022-11-23T01:30:36.2255892Z 6 RETURN_VALUE 2022-11-23T01:30:36.2256019Z 2022-11-23T01:30:36.2256029Z 2022-11-23T01:30:36.2256722Z [2022-11-23 01:27:24,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1282 2022-11-23T01:30:36.2257177Z [2022-11-23 01:27:24,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.2257690Z [2022-11-23 01:27:24,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.2258296Z [2022-11-23 01:27:24,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2258845Z [2022-11-23 01:27:24,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2259690Z [2022-11-23 01:27:24,965] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2260220Z [2022-11-23 01:27:24,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2260702Z [2022-11-23 01:27:24,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2261259Z [2022-11-23 01:27:24,966] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2261788Z [2022-11-23 01:27:24,969] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2262193Z [2022-11-23 01:27:24,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2262476Z __compiled_fn_363 .2995 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2262657Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2262840Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.2263225Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.2263402Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.2263433Z 2022-11-23T01:30:36.2264127Z [2022-11-23 01:27:24,970] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2264318Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2264505Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2264681Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2264869Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2265040Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2265225Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2265360Z 12 RETURN_VALUE 2022-11-23T01:30:36.2265370Z 2022-11-23T01:30:36.2265493Z 2022-11-23T01:30:36.2266248Z [2022-11-23 01:27:24,970] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2266480Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_363) 2022-11-23T01:30:36.2266666Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2266852Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2267011Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2267192Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2267351Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2267505Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.2267685Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.2267873Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.2268027Z 18 RETURN_VALUE 2022-11-23T01:30:36.2268084Z 2022-11-23T01:30:36.2268260Z 2022-11-23T01:30:36.2268653Z [2022-11-23 01:27:24,970] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2268780Z - 2022-11-23T01:30:36.2269037Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2269167Z { 2022-11-23T01:30:36.2269470Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2269867Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.2270123Z 'obj_weakref': None 2022-11-23T01:30:36.2270598Z 'guarded_class': 2022-11-23T01:30:36.2270710Z } 2022-11-23T01:30:36.2270843Z 2022-11-23T01:30:36.2270987Z - 2022-11-23T01:30:36.2271245Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2271380Z { 2022-11-23T01:30:36.2271689Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2271920Z 'code': None, 2022-11-23T01:30:36.2272354Z 'obj_weakref': 2022-11-23T01:30:36.2272912Z 'guarded_class': 2022-11-23T01:30:36.2273043Z } 2022-11-23T01:30:36.2273170Z 2022-11-23T01:30:36.2273314Z - 2022-11-23T01:30:36.2273583Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.2273714Z { 2022-11-23T01:30:36.2273995Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2274223Z 'code': None, 2022-11-23T01:30:36.2274678Z 'obj_weakref': 2022-11-23T01:30:36.2275223Z 'guarded_class': 2022-11-23T01:30:36.2275357Z } 2022-11-23T01:30:36.2275489Z 2022-11-23T01:30:36.2275636Z - 2022-11-23T01:30:36.2275891Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2276023Z { 2022-11-23T01:30:36.2276304Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2276656Z 'code': ['___check_obj_id(model, 140534625212528)'], 2022-11-23T01:30:36.2276902Z 'obj_weakref': None 2022-11-23T01:30:36.2277389Z 'guarded_class': 2022-11-23T01:30:36.2277514Z } 2022-11-23T01:30:36.2277621Z 2022-11-23T01:30:36.2277763Z - 2022-11-23T01:30:36.2278021Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2278146Z { 2022-11-23T01:30:36.2278433Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2278900Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2279148Z 'obj_weakref': None 2022-11-23T01:30:36.2279610Z 'guarded_class': 2022-11-23T01:30:36.2279745Z } 2022-11-23T01:30:36.2279873Z 2022-11-23T01:30:36.2280581Z [2022-11-23 01:27:24,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356 2022-11-23T01:30:36.2281427Z [2022-11-23 01:27:26,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpmsgkdxcu3jprz7cpru7id4zz7vrxwvigjugakztws6l3igsdg.py 2022-11-23T01:30:36.2282009Z [2022-11-23 01:27:26,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356 2022-11-23T01:30:36.2282019Z 2022-11-23T01:30:36.2282217Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2282365Z import torch 2022-11-23T01:30:36.2282484Z import random 2022-11-23T01:30:36.2282723Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2282974Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2283031Z 2022-11-23T01:30:36.2283192Z aten = torch.ops.aten 2022-11-23T01:30:36.2283475Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2283673Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2283685Z 2022-11-23T01:30:36.2283693Z 2022-11-23T01:30:36.2283970Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2284405Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2284632Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2284935Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.2285146Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.2285273Z { 2022-11-23T01:30:36.2285477Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2285605Z { 2022-11-23T01:30:36.2285794Z #pragma omp for collapse(2) 2022-11-23T01:30:36.2285938Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:36.2286065Z { 2022-11-23T01:30:36.2286241Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.2286369Z { 2022-11-23T01:30:36.2286541Z for(long i2=0; i2<3; i2+=1) 2022-11-23T01:30:36.2286672Z { 2022-11-23T01:30:36.2286990Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (30*i1) + (120*i0)); 2022-11-23T01:30:36.2287277Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i2) + (30*i0) + (180*i1)); 2022-11-23T01:30:36.2287461Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2287690Z tmp2.store(out_ptr0 + (8*i2) + (30*i1) + (120*i0)); 2022-11-23T01:30:36.2287830Z } 2022-11-23T01:30:36.2288028Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.2288207Z for(long i2=24; i2<30; i2+=1) 2022-11-23T01:30:36.2288341Z { 2022-11-23T01:30:36.2288553Z auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)]; 2022-11-23T01:30:36.2288748Z auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)]; 2022-11-23T01:30:36.2288936Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2289146Z out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2; 2022-11-23T01:30:36.2289280Z } 2022-11-23T01:30:36.2289414Z } 2022-11-23T01:30:36.2289542Z } 2022-11-23T01:30:36.2289668Z } 2022-11-23T01:30:36.2289766Z } 2022-11-23T01:30:36.2289935Z ''') 2022-11-23T01:30:36.2289945Z 2022-11-23T01:30:36.2289953Z 2022-11-23T01:30:36.2290140Z async_compile.wait(globals()) 2022-11-23T01:30:36.2290291Z del async_compile 2022-11-23T01:30:36.2290300Z 2022-11-23T01:30:36.2290446Z def call(args): 2022-11-23T01:30:36.2290599Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.2290742Z args.clear() 2022-11-23T01:30:36.2291192Z buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2291523Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.2291667Z del arg0_1 2022-11-23T01:30:36.2291805Z del arg1_1 2022-11-23T01:30:36.2291945Z return (buf0, ) 2022-11-23T01:30:36.2292039Z 2022-11-23T01:30:36.2292051Z 2022-11-23T01:30:36.2292208Z if __name__ == "__main__": 2022-11-23T01:30:36.2292445Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2292702Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2293156Z arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2293616Z arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2293859Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.2293869Z 2022-11-23T01:30:36.2294000Z ok (1.515s) 2022-11-23T01:30:36.2294662Z test_sin_cpu (__main__.CpuTests) ... [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2295425Z [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2295901Z [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2296459Z [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2297062Z [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2297748Z [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2298511Z [2022-11-23 01:27:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2299227Z [2022-11-23 01:27:26,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2300062Z [2022-11-23 01:27:26,479] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2300259Z 2144 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.2300448Z 2 LOAD_METHOD 1 (sin) 2022-11-23T01:30:36.2300634Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2300818Z 6 CALL_METHOD 1 2022-11-23T01:30:36.2300999Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:36.2301129Z 10 BINARY_ADD 2022-11-23T01:30:36.2301320Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.2301509Z 14 LOAD_METHOD 1 (sin) 2022-11-23T01:30:36.2301698Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2301880Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2302027Z 20 BINARY_ADD 2022-11-23T01:30:36.2302213Z 22 CALL_METHOD 1 2022-11-23T01:30:36.2302370Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2302527Z 26 RETURN_VALUE 2022-11-23T01:30:36.2302653Z 2022-11-23T01:30:36.2302666Z 2022-11-23T01:30:36.2303368Z [2022-11-23 01:27:26,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2144 2022-11-23T01:30:36.2303841Z [2022-11-23 01:27:26,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.2304496Z [2022-11-23 01:27:26,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable()] 2022-11-23T01:30:36.2305031Z [2022-11-23 01:27:26,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)] 2022-11-23T01:30:36.2305651Z [2022-11-23 01:27:26,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()] 2022-11-23T01:30:36.2306198Z [2022-11-23 01:27:26,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.2306817Z [2022-11-23 01:27:26,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2307357Z [2022-11-23 01:27:26,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.2308091Z [2022-11-23 01:27:26,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2308688Z [2022-11-23 01:27:26,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)] 2022-11-23T01:30:36.2309351Z [2022-11-23 01:27:26,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()] 2022-11-23T01:30:36.2310167Z [2022-11-23 01:27:26,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2310840Z [2022-11-23 01:27:26,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()] 2022-11-23T01:30:36.2311422Z [2022-11-23 01:27:26,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2311955Z [2022-11-23 01:27:26,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2312787Z [2022-11-23 01:27:26,495] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2313300Z [2022-11-23 01:27:26,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2313809Z [2022-11-23 01:27:26,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2314366Z [2022-11-23 01:27:26,497] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2314910Z [2022-11-23 01:27:26,501] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2315312Z [2022-11-23 01:27:26,501] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2315592Z __compiled_fn_364 .3001 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2315775Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2315986Z call_function, sin, aten.sin, (ex_0_,), {} 2022-11-23T01:30:36.2316323Z call_function, add, , (sin, 2), {} 2022-11-23T01:30:36.2316692Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:36.2316910Z call_function, sin_1, aten.sin, (add_1,), {} 2022-11-23T01:30:36.2317125Z output, output, output, ((add, sin_1),), {} 2022-11-23T01:30:36.2317138Z 2022-11-23T01:30:36.2317857Z [2022-11-23 01:27:26,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2318046Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2318232Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2318403Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2318567Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2318740Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2318923Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2319074Z 12 RETURN_VALUE 2022-11-23T01:30:36.2319083Z 2022-11-23T01:30:36.2319208Z 2022-11-23T01:30:36.2319912Z [2022-11-23 01:27:26,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2320268Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_364) 2022-11-23T01:30:36.2320451Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2320611Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2320768Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2320945Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2321156Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2321363Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2321544Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2321708Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2321893Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2322069Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2322293Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2322475Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2322628Z 26 RETURN_VALUE 2022-11-23T01:30:36.2322640Z 2022-11-23T01:30:36.2322763Z 2022-11-23T01:30:36.2323148Z [2022-11-23 01:27:26,502] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2323270Z - 2022-11-23T01:30:36.2323521Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2323651Z { 2022-11-23T01:30:36.2323946Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2324347Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2324592Z 'obj_weakref': None 2022-11-23T01:30:36.2325201Z 'guarded_class': 2022-11-23T01:30:36.2325314Z } 2022-11-23T01:30:36.2325446Z 2022-11-23T01:30:36.2325590Z - 2022-11-23T01:30:36.2325858Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2325994Z { 2022-11-23T01:30:36.2326294Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2326518Z 'code': None, 2022-11-23T01:30:36.2326958Z 'obj_weakref': 2022-11-23T01:30:36.2327549Z 'guarded_class': 2022-11-23T01:30:36.2327677Z } 2022-11-23T01:30:36.2327809Z 2022-11-23T01:30:36.2327952Z - 2022-11-23T01:30:36.2328232Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2328364Z { 2022-11-23T01:30:36.2328625Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2328984Z 'code': ['___check_obj_id(model, 140534621349072)'], 2022-11-23T01:30:36.2329243Z 'obj_weakref': None 2022-11-23T01:30:36.2329726Z 'guarded_class': 2022-11-23T01:30:36.2329863Z } 2022-11-23T01:30:36.2329997Z 2022-11-23T01:30:36.2330147Z - 2022-11-23T01:30:36.2330385Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2330522Z { 2022-11-23T01:30:36.2330808Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2331275Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2331524Z 'obj_weakref': None 2022-11-23T01:30:36.2331999Z 'guarded_class': 2022-11-23T01:30:36.2332130Z } 2022-11-23T01:30:36.2332242Z 2022-11-23T01:30:36.2332379Z - 2022-11-23T01:30:36.2332655Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.2332789Z { 2022-11-23T01:30:36.2333044Z 'guard_types': None, 2022-11-23T01:30:36.2333278Z 'code': None, 2022-11-23T01:30:36.2333527Z 'obj_weakref': None 2022-11-23T01:30:36.2333767Z 'guarded_class': None 2022-11-23T01:30:36.2333890Z } 2022-11-23T01:30:36.2334033Z 2022-11-23T01:30:36.2334716Z [2022-11-23 01:27:26,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357 2022-11-23T01:30:36.2335496Z [2022-11-23 01:27:28,050] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b6/cb6mrm23kb4i34434jxzmbrumj3ixhmonlikgoe3wbf7tkw36bt3.py 2022-11-23T01:30:36.2336078Z [2022-11-23 01:27:28,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357 2022-11-23T01:30:36.2336089Z 2022-11-23T01:30:36.2336285Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2336428Z import torch 2022-11-23T01:30:36.2336570Z import random 2022-11-23T01:30:36.2336814Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2337072Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2337141Z 2022-11-23T01:30:36.2337305Z aten = torch.ops.aten 2022-11-23T01:30:36.2337535Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2337666Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2337674Z 2022-11-23T01:30:36.2337681Z 2022-11-23T01:30:36.2337952Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2338386Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2338630Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2338833Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2339034Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.2339153Z { 2022-11-23T01:30:36.2339337Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2339459Z { 2022-11-23T01:30:36.2339618Z #pragma omp for 2022-11-23T01:30:36.2339786Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.2339913Z { 2022-11-23T01:30:36.2340203Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.2340374Z auto tmp1 = tmp0.sin(); 2022-11-23T01:30:36.2340637Z auto tmp2 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.2340815Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.2341087Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.2341262Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:36.2341430Z auto tmp6 = tmp5.sin(); 2022-11-23T01:30:36.2341613Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2341793Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.2341917Z } 2022-11-23T01:30:36.2342092Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2342264Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.2342387Z { 2022-11-23T01:30:36.2342559Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2342737Z auto tmp1 = std::sin(tmp0); 2022-11-23T01:30:36.2342943Z auto tmp2 = static_cast(2); 2022-11-23T01:30:36.2343095Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.2343295Z auto tmp4 = static_cast(1); 2022-11-23T01:30:36.2343463Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:30:36.2343644Z auto tmp6 = std::sin(tmp5); 2022-11-23T01:30:36.2343805Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.2343962Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:36.2344090Z } 2022-11-23T01:30:36.2344192Z } 2022-11-23T01:30:36.2344308Z } 2022-11-23T01:30:36.2344467Z ''') 2022-11-23T01:30:36.2344477Z 2022-11-23T01:30:36.2344485Z 2022-11-23T01:30:36.2344663Z async_compile.wait(globals()) 2022-11-23T01:30:36.2344807Z del async_compile 2022-11-23T01:30:36.2344817Z 2022-11-23T01:30:36.2344960Z def call(args): 2022-11-23T01:30:36.2345100Z arg0_1, = args 2022-11-23T01:30:36.2345239Z args.clear() 2022-11-23T01:30:36.2345652Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2346076Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2346467Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2346608Z del arg0_1 2022-11-23T01:30:36.2346767Z return (buf0, buf1, ) 2022-11-23T01:30:36.2346778Z 2022-11-23T01:30:36.2346788Z 2022-11-23T01:30:36.2346944Z if __name__ == "__main__": 2022-11-23T01:30:36.2347184Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2347449Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2347854Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2348076Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2348084Z 2022-11-23T01:30:36.2348197Z ok (1.577s) 2022-11-23T01:30:36.2348764Z test_sizehint_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:28,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2349517Z [2022-11-23 01:27:28,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2349987Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2350535Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2351149Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2351859Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2352600Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2353328Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2354167Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2354366Z 4499 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2354550Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:30:36.2354751Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:30:36.2354935Z 6 LOAD_ATTR 3 (unfold) 2022-11-23T01:30:36.2354944Z 2022-11-23T01:30:36.2355127Z 4500 8 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2355306Z 10 LOAD_CONST 1 (4) 2022-11-23T01:30:36.2355466Z 12 LOAD_CONST 1 (4) 2022-11-23T01:30:36.2355651Z 14 BUILD_LIST 2 2022-11-23T01:30:36.2355831Z 16 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2356015Z 18 LOAD_CONST 3 (0) 2022-11-23T01:30:36.2356190Z 20 LOAD_CONST 1 (4) 2022-11-23T01:30:36.2356368Z 22 LOAD_CONST 1 (4) 2022-11-23T01:30:36.2356546Z 24 BUILD_LIST 2 2022-11-23T01:30:36.2356556Z 2022-11-23T01:30:36.2356983Z 4499 26 LOAD_CONST 4 (('kernel_size', 'dilation', 'padding', 'stride')) 2022-11-23T01:30:36.2357169Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:30:36.2357318Z 30 RETURN_VALUE 2022-11-23T01:30:36.2357438Z 2022-11-23T01:30:36.2357448Z 2022-11-23T01:30:36.2358147Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499 2022-11-23T01:30:36.2358623Z [2022-11-23 01:27:28,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2359460Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:30:36.2360373Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:30:36.2361267Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable()] 2022-11-23T01:30:36.2361952Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4500 2022-11-23T01:30:36.2362560Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.2363315Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2364078Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2365032Z [2022-11-23 01:27:28,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2365798Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.2366630Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2367558Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2368568Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2369653Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2370352Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499 2022-11-23T01:30:36.2371498Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()] 2022-11-23T01:30:36.2372598Z [2022-11-23 01:27:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.2373134Z [2022-11-23 01:27:28,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2373985Z [2022-11-23 01:27:28,070] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2374530Z [2022-11-23 01:27:28,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2375098Z [2022-11-23 01:27:28,070] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2375654Z [2022-11-23 01:27:28,071] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2376195Z [2022-11-23 01:27:28,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2376597Z [2022-11-23 01:27:28,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2376878Z __compiled_fn_365 .3007 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2377061Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2377694Z call_function, unfold, , (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]} 2022-11-23T01:30:36.2377964Z output, output, output, ((unfold,),), {} 2022-11-23T01:30:36.2377974Z 2022-11-23T01:30:36.2378703Z [2022-11-23 01:27:28,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2378873Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2379050Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2379229Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2379414Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2379587Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2379769Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2379924Z 12 RETURN_VALUE 2022-11-23T01:30:36.2379934Z 2022-11-23T01:30:36.2380038Z 2022-11-23T01:30:36.2380746Z [2022-11-23 01:27:28,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2380969Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_365) 2022-11-23T01:30:36.2381151Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2381332Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2381486Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2381665Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2381843Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.2381978Z 12 RETURN_VALUE 2022-11-23T01:30:36.2381988Z 2022-11-23T01:30:36.2382109Z 2022-11-23T01:30:36.2382499Z [2022-11-23 01:27:28,081] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2382637Z - 2022-11-23T01:30:36.2382885Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2383013Z { 2022-11-23T01:30:36.2383304Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2383683Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2383936Z 'obj_weakref': None 2022-11-23T01:30:36.2384405Z 'guarded_class': 2022-11-23T01:30:36.2384540Z } 2022-11-23T01:30:36.2384671Z 2022-11-23T01:30:36.2384811Z - 2022-11-23T01:30:36.2385076Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2385182Z { 2022-11-23T01:30:36.2385474Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2385695Z 'code': None, 2022-11-23T01:30:36.2386150Z 'obj_weakref': 2022-11-23T01:30:36.2386689Z 'guarded_class': 2022-11-23T01:30:36.2386817Z } 2022-11-23T01:30:36.2386946Z 2022-11-23T01:30:36.2387070Z - 2022-11-23T01:30:36.2387346Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2387482Z { 2022-11-23T01:30:36.2387759Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2388122Z 'code': ['___check_obj_id(model, 140534626720288)'], 2022-11-23T01:30:36.2388415Z 'obj_weakref': None 2022-11-23T01:30:36.2388919Z 'guarded_class': 2022-11-23T01:30:36.2389028Z } 2022-11-23T01:30:36.2389166Z 2022-11-23T01:30:36.2389302Z - 2022-11-23T01:30:36.2389554Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2389685Z { 2022-11-23T01:30:36.2389970Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2390430Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2390656Z 'obj_weakref': None 2022-11-23T01:30:36.2391125Z 'guarded_class': 2022-11-23T01:30:36.2391312Z } 2022-11-23T01:30:36.2391444Z 2022-11-23T01:30:36.2391584Z - 2022-11-23T01:30:36.2391875Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2392008Z { 2022-11-23T01:30:36.2392240Z 'guard_types': None, 2022-11-23T01:30:36.2392466Z 'code': None, 2022-11-23T01:30:36.2392715Z 'obj_weakref': None 2022-11-23T01:30:36.2392972Z 'guarded_class': None 2022-11-23T01:30:36.2393100Z } 2022-11-23T01:30:36.2393231Z 2022-11-23T01:30:36.2393788Z [2022-11-23 01:27:28,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358 2022-11-23T01:30:36.2394591Z [2022-11-23 01:27:29,657] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpn4cpowxerwglhpdecwv6kp4wphuxw34secpvicsalz44baa3df.py 2022-11-23T01:30:36.2395161Z [2022-11-23 01:27:29,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358 2022-11-23T01:30:36.2395177Z 2022-11-23T01:30:36.2395369Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2395506Z import torch 2022-11-23T01:30:36.2395648Z import random 2022-11-23T01:30:36.2395893Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2396140Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2396151Z 2022-11-23T01:30:36.2396306Z aten = torch.ops.aten 2022-11-23T01:30:36.2396564Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2396749Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2396762Z 2022-11-23T01:30:36.2396770Z 2022-11-23T01:30:36.2397048Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2397473Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2397724Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2397927Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.2398051Z { 2022-11-23T01:30:36.2398258Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2398359Z { 2022-11-23T01:30:36.2398511Z #pragma omp for 2022-11-23T01:30:36.2398680Z for(long i0=0; i0<48; i0+=1) 2022-11-23T01:30:36.2398807Z { 2022-11-23T01:30:36.2398972Z #pragma GCC ivdep 2022-11-23T01:30:36.2399138Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.2399247Z { 2022-11-23T01:30:36.2399412Z #pragma GCC ivdep 2022-11-23T01:30:36.2399588Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:30:36.2399723Z { 2022-11-23T01:30:36.2399890Z #pragma GCC ivdep 2022-11-23T01:30:36.2400156Z for(long i3=0; i3<14; i3+=1) 2022-11-23T01:30:36.2400295Z { 2022-11-23T01:30:36.2400455Z #pragma GCC ivdep 2022-11-23T01:30:36.2400641Z for(long i4=0; i4<14; i4+=1) 2022-11-23T01:30:36.2400784Z { 2022-11-23T01:30:36.2400930Z { 2022-11-23T01:30:36.2401084Z { 2022-11-23T01:30:36.2401376Z auto tmp0 = static_cast(4*i3); 2022-11-23T01:30:36.2401610Z auto tmp1 = static_cast(i1); 2022-11-23T01:30:36.2401799Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2402026Z auto tmp3 = static_cast(4*i4); 2022-11-23T01:30:36.2402253Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.2402450Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:36.2402693Z auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*i0)]; 2022-11-23T01:30:36.2402938Z out_ptr0[i4 + (14*i3) + (196*i2) + (784*i1) + (3136*i0)] = tmp6; 2022-11-23T01:30:36.2403084Z } 2022-11-23T01:30:36.2403277Z } 2022-11-23T01:30:36.2403395Z } 2022-11-23T01:30:36.2403525Z } 2022-11-23T01:30:36.2403664Z } 2022-11-23T01:30:36.2403793Z } 2022-11-23T01:30:36.2403925Z } 2022-11-23T01:30:36.2404051Z } 2022-11-23T01:30:36.2404151Z } 2022-11-23T01:30:36.2404319Z ''') 2022-11-23T01:30:36.2404330Z 2022-11-23T01:30:36.2404338Z 2022-11-23T01:30:36.2404525Z async_compile.wait(globals()) 2022-11-23T01:30:36.2404673Z del async_compile 2022-11-23T01:30:36.2404685Z 2022-11-23T01:30:36.2405073Z def call(args): 2022-11-23T01:30:36.2405219Z arg0_1, = args 2022-11-23T01:30:36.2405365Z args.clear() 2022-11-23T01:30:36.2405893Z buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2406156Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.2406298Z del arg0_1 2022-11-23T01:30:36.2406527Z return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), ) 2022-11-23T01:30:36.2406536Z 2022-11-23T01:30:36.2406545Z 2022-11-23T01:30:36.2406702Z if __name__ == "__main__": 2022-11-23T01:30:36.2406939Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2407198Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2407679Z arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2407901Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2407910Z 2022-11-23T01:30:36.2408029Z ok (1.609s) 2022-11-23T01:30:36.2408690Z test_slice1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2409384Z [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2409857Z [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2410413Z [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2411018Z [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2411719Z [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2412493Z [2022-11-23 01:27:29,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2413205Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2414031Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2414296Z 1675 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2414486Z 2 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2414667Z 4 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2414842Z 6 BUILD_SLICE 2 2022-11-23T01:30:36.2415023Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2415199Z 10 LOAD_CONST 1 (10) 2022-11-23T01:30:36.2415373Z 12 BUILD_SLICE 2 2022-11-23T01:30:36.2415550Z 14 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2415710Z 16 BUILD_TUPLE 3 2022-11-23T01:30:36.2415865Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.2416042Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2416225Z 22 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2416484Z 24 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2416653Z 26 BUILD_SLICE 2 2022-11-23T01:30:36.2416836Z 28 LOAD_CONST 1 (10) 2022-11-23T01:30:36.2417001Z 30 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2417169Z 32 BUILD_SLICE 2 2022-11-23T01:30:36.2417349Z 34 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2417526Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.2417682Z 38 BINARY_SUBSCR 2022-11-23T01:30:36.2417834Z 40 BINARY_ADD 2022-11-23T01:30:36.2417844Z 2022-11-23T01:30:36.2418023Z 1676 42 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2418179Z 44 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2418327Z 46 BINARY_ADD 2022-11-23T01:30:36.2418512Z 48 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2418693Z 50 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2418866Z 52 BUILD_SLICE 2 2022-11-23T01:30:36.2419054Z 54 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2419233Z 56 LOAD_CONST 1 (10) 2022-11-23T01:30:36.2419384Z 58 BUILD_SLICE 2 2022-11-23T01:30:36.2419565Z 60 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2419741Z 62 BUILD_TUPLE 3 2022-11-23T01:30:36.2419895Z 64 BINARY_SUBSCR 2022-11-23T01:30:36.2420069Z 66 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2420249Z 68 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2420400Z 70 BINARY_ADD 2022-11-23T01:30:36.2420558Z 72 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2420737Z 74 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2420913Z 76 BUILD_SLICE 2 2022-11-23T01:30:36.2421097Z 78 LOAD_CONST 1 (10) 2022-11-23T01:30:36.2421276Z 80 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2421451Z 82 BUILD_SLICE 2 2022-11-23T01:30:36.2421626Z 84 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2421780Z 86 BUILD_TUPLE 3 2022-11-23T01:30:36.2421933Z 88 BINARY_SUBSCR 2022-11-23T01:30:36.2422076Z 90 BINARY_ADD 2022-11-23T01:30:36.2422086Z 2022-11-23T01:30:36.2422261Z 1674 92 BUILD_TUPLE 2 2022-11-23T01:30:36.2422414Z 94 RETURN_VALUE 2022-11-23T01:30:36.2422537Z 2022-11-23T01:30:36.2422546Z 2022-11-23T01:30:36.2423249Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1675 2022-11-23T01:30:36.2423698Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.2424231Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:30:36.2424899Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2425642Z [2022-11-23 01:27:29,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2426229Z [2022-11-23 01:27:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2426902Z [2022-11-23 01:27:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2427670Z [2022-11-23 01:27:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2428355Z [2022-11-23 01:27:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2429087Z [2022-11-23 01:27:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2429696Z [2022-11-23 01:27:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2430212Z [2022-11-23 01:27:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.2430806Z [2022-11-23 01:27:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2431483Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2432284Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2432928Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2433639Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2434468Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2435164Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2435955Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2436625Z [2022-11-23 01:27:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2437213Z [2022-11-23 01:27:29,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2437898Z [2022-11-23 01:27:29,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1676 2022-11-23T01:30:36.2438404Z [2022-11-23 01:27:29,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.2438967Z [2022-11-23 01:27:29,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2439650Z [2022-11-23 01:27:29,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2440374Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2441070Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2441853Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2442497Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2443243Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2444082Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2444936Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2445738Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2446402Z [2022-11-23 01:27:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2446970Z [2022-11-23 01:27:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2447607Z [2022-11-23 01:27:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2448360Z [2022-11-23 01:27:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2449022Z [2022-11-23 01:27:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2449776Z [2022-11-23 01:27:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2450628Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2451335Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2452157Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2453058Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2453827Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2454680Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2455409Z [2022-11-23 01:27:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2456074Z [2022-11-23 01:27:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2456830Z [2022-11-23 01:27:29,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1674 2022-11-23T01:30:36.2457405Z [2022-11-23 01:27:29,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2457936Z [2022-11-23 01:27:29,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2458781Z [2022-11-23 01:27:29,677] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2459313Z [2022-11-23 01:27:29,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2459890Z [2022-11-23 01:27:29,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2460448Z [2022-11-23 01:27:29,679] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2460996Z [2022-11-23 01:27:29,687] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2461396Z [2022-11-23 01:27:29,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2461674Z __compiled_fn_366 .3013 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2461837Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2462409Z call_function, getitem, , (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {} 2022-11-23T01:30:36.2462978Z call_function, getitem_1, , (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {} 2022-11-23T01:30:36.2463394Z call_function, add, , (getitem, getitem_1), {} 2022-11-23T01:30:36.2463759Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:36.2464329Z call_function, getitem_2, , (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {} 2022-11-23T01:30:36.2464699Z call_function, add_2, , (ex_0_, 1), {} 2022-11-23T01:30:36.2465277Z call_function, getitem_3, , (add_2, (slice(None, None, None), slice(10, None, None), 0)), {} 2022-11-23T01:30:36.2465705Z call_function, add_3, , (getitem_2, getitem_3), {} 2022-11-23T01:30:36.2465916Z output, output, output, ((add, add_3),), {} 2022-11-23T01:30:36.2465928Z 2022-11-23T01:30:36.2466643Z [2022-11-23 01:27:29,687] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2466830Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2467018Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2467192Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2467380Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2467554Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2467718Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2467869Z 12 RETURN_VALUE 2022-11-23T01:30:36.2467880Z 2022-11-23T01:30:36.2468003Z 2022-11-23T01:30:36.2468714Z [2022-11-23 01:27:29,687] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2468936Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_366) 2022-11-23T01:30:36.2469113Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2469290Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2469447Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2469607Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2469823Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2470030Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2470254Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2470411Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2470613Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2470796Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2470933Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2471111Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2471263Z 26 RETURN_VALUE 2022-11-23T01:30:36.2471272Z 2022-11-23T01:30:36.2471394Z 2022-11-23T01:30:36.2471781Z [2022-11-23 01:27:29,688] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2471926Z - 2022-11-23T01:30:36.2472175Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2472286Z { 2022-11-23T01:30:36.2472634Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2473040Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2473298Z 'obj_weakref': None 2022-11-23T01:30:36.2473775Z 'guarded_class': 2022-11-23T01:30:36.2473907Z } 2022-11-23T01:30:36.2474041Z 2022-11-23T01:30:36.2474165Z - 2022-11-23T01:30:36.2474431Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2474558Z { 2022-11-23T01:30:36.2474858Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2475087Z 'code': None, 2022-11-23T01:30:36.2475542Z 'obj_weakref': 2022-11-23T01:30:36.2476079Z 'guarded_class': 2022-11-23T01:30:36.2476209Z } 2022-11-23T01:30:36.2476325Z 2022-11-23T01:30:36.2476460Z - 2022-11-23T01:30:36.2476738Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2476866Z { 2022-11-23T01:30:36.2477150Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2477505Z 'code': ['___check_obj_id(model, 140534626915888)'], 2022-11-23T01:30:36.2477731Z 'obj_weakref': None 2022-11-23T01:30:36.2478221Z 'guarded_class': 2022-11-23T01:30:36.2478353Z } 2022-11-23T01:30:36.2478482Z 2022-11-23T01:30:36.2478619Z - 2022-11-23T01:30:36.2478870Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2478993Z { 2022-11-23T01:30:36.2479256Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2479725Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2479973Z 'obj_weakref': None 2022-11-23T01:30:36.2480513Z 'guarded_class': 2022-11-23T01:30:36.2480640Z } 2022-11-23T01:30:36.2480767Z 2022-11-23T01:30:36.2481318Z [2022-11-23 01:27:29,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359 2022-11-23T01:30:36.2482111Z [2022-11-23 01:27:31,155] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l4/cl4i7n5ezojz5sehr3pxyv7rg6jbhqhlijtp3y7qxnl5pxqlbrdh.py 2022-11-23T01:30:36.2482672Z [2022-11-23 01:27:31,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359 2022-11-23T01:30:36.2482701Z 2022-11-23T01:30:36.2482880Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2483024Z import torch 2022-11-23T01:30:36.2483167Z import random 2022-11-23T01:30:36.2483405Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2483653Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2483666Z 2022-11-23T01:30:36.2483825Z aten = torch.ops.aten 2022-11-23T01:30:36.2484105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2484334Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2484344Z 2022-11-23T01:30:36.2484352Z 2022-11-23T01:30:36.2484633Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2485161Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2485413Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2485618Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2485814Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.2485933Z { 2022-11-23T01:30:36.2486112Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2486233Z { 2022-11-23T01:30:36.2486414Z #pragma omp for collapse(2) 2022-11-23T01:30:36.2486574Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.2486776Z { 2022-11-23T01:30:36.2486947Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.2487077Z { 2022-11-23T01:30:36.2487190Z { 2022-11-23T01:30:36.2487329Z { 2022-11-23T01:30:36.2487539Z auto tmp0 = in_ptr0[(2*i1) + (40*i0)]; 2022-11-23T01:30:36.2487758Z auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)]; 2022-11-23T01:30:36.2487948Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2488165Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.2488351Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:36.2488576Z auto tmp5 = tmp1 + tmp3; 2022-11-23T01:30:36.2488765Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.2488959Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.2489150Z out_ptr1[i1 + (10*i0)] = tmp6; 2022-11-23T01:30:36.2489291Z } 2022-11-23T01:30:36.2489421Z } 2022-11-23T01:30:36.2489549Z } 2022-11-23T01:30:36.2489655Z } 2022-11-23T01:30:36.2489783Z } 2022-11-23T01:30:36.2489904Z } 2022-11-23T01:30:36.2490072Z ''') 2022-11-23T01:30:36.2490081Z 2022-11-23T01:30:36.2490090Z 2022-11-23T01:30:36.2490274Z async_compile.wait(globals()) 2022-11-23T01:30:36.2490422Z del async_compile 2022-11-23T01:30:36.2490432Z 2022-11-23T01:30:36.2490633Z def call(args): 2022-11-23T01:30:36.2490751Z arg0_1, = args 2022-11-23T01:30:36.2490897Z args.clear() 2022-11-23T01:30:36.2491313Z buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2491731Z buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2492066Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2492208Z del arg0_1 2022-11-23T01:30:36.2492369Z return (buf0, buf1, ) 2022-11-23T01:30:36.2492379Z 2022-11-23T01:30:36.2492387Z 2022-11-23T01:30:36.2492548Z if __name__ == "__main__": 2022-11-23T01:30:36.2492766Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2493019Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2493459Z arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2493679Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2493688Z 2022-11-23T01:30:36.2493822Z ok (1.496s) 2022-11-23T01:30:36.2494483Z test_slice2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2495173Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2495648Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2496198Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2496841Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2497554Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2498323Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2499051Z [2022-11-23 01:27:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2499876Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2500108Z 1687 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2500299Z 2 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2500583Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2500762Z 6 BUILD_SLICE 2 2022-11-23T01:30:36.2500926Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2501105Z 10 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2501287Z 12 LOAD_CONST 2 (2) 2022-11-23T01:30:36.2501464Z 14 BUILD_SLICE 3 2022-11-23T01:30:36.2501743Z 16 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2501919Z 18 BUILD_TUPLE 3 2022-11-23T01:30:36.2502073Z 20 BINARY_SUBSCR 2022-11-23T01:30:36.2502235Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2502522Z 24 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2502710Z 26 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2502888Z 28 BUILD_SLICE 2 2022-11-23T01:30:36.2503069Z 30 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2503251Z 32 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2503426Z 34 LOAD_CONST 2 (2) 2022-11-23T01:30:36.2503578Z 36 BUILD_SLICE 3 2022-11-23T01:30:36.2503858Z 38 LOAD_CONST 4 (-2) 2022-11-23T01:30:36.2504031Z 40 BUILD_TUPLE 3 2022-11-23T01:30:36.2504190Z 42 BINARY_SUBSCR 2022-11-23T01:30:36.2504336Z 44 BINARY_ADD 2022-11-23T01:30:36.2504345Z 2022-11-23T01:30:36.2504520Z 1688 46 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2504698Z 48 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2504846Z 50 BINARY_ADD 2022-11-23T01:30:36.2505017Z 52 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2505300Z 54 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2505475Z 56 BUILD_SLICE 2 2022-11-23T01:30:36.2505663Z 58 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2505840Z 60 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2506024Z 62 LOAD_CONST 2 (2) 2022-11-23T01:30:36.2506198Z 64 BUILD_SLICE 3 2022-11-23T01:30:36.2506463Z 66 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2506646Z 68 BUILD_TUPLE 3 2022-11-23T01:30:36.2506790Z 70 BINARY_SUBSCR 2022-11-23T01:30:36.2506968Z 72 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2507144Z 74 LOAD_CONST 2 (2) 2022-11-23T01:30:36.2507293Z 76 BINARY_ADD 2022-11-23T01:30:36.2507564Z 78 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2507730Z 80 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2507906Z 82 BUILD_SLICE 2 2022-11-23T01:30:36.2508129Z 84 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2508314Z 86 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2508492Z 88 LOAD_CONST 2 (2) 2022-11-23T01:30:36.2508665Z 90 BUILD_SLICE 3 2022-11-23T01:30:36.2508954Z 92 LOAD_CONST 4 (-2) 2022-11-23T01:30:36.2509113Z 94 BUILD_TUPLE 3 2022-11-23T01:30:36.2509269Z 96 BINARY_SUBSCR 2022-11-23T01:30:36.2509420Z 98 BINARY_ADD 2022-11-23T01:30:36.2509430Z 2022-11-23T01:30:36.2509602Z 1686 100 BUILD_TUPLE 2 2022-11-23T01:30:36.2509757Z 102 RETURN_VALUE 2022-11-23T01:30:36.2509880Z 2022-11-23T01:30:36.2509890Z 2022-11-23T01:30:36.2510583Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1687 2022-11-23T01:30:36.2511112Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.2511621Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:30:36.2512246Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2512950Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2513530Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2514219Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2515011Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2515878Z [2022-11-23 01:27:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2516526Z [2022-11-23 01:27:31,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2517253Z [2022-11-23 01:27:31,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2517855Z [2022-11-23 01:27:31,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2518364Z [2022-11-23 01:27:31,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.2518927Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2519464Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2520305Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2520946Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2521690Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2522518Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2523519Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2524238Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2525117Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2525801Z [2022-11-23 01:27:31,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2526401Z [2022-11-23 01:27:31,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2527176Z [2022-11-23 01:27:31,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1688 2022-11-23T01:30:36.2527679Z [2022-11-23 01:27:31,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.2528259Z [2022-11-23 01:27:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2528927Z [2022-11-23 01:27:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2529510Z [2022-11-23 01:27:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2530043Z [2022-11-23 01:27:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2530752Z [2022-11-23 01:27:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2531397Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2532154Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2533004Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2533948Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2534668Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2535436Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2536101Z [2022-11-23 01:27:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2536667Z [2022-11-23 01:27:31,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2537301Z [2022-11-23 01:27:31,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2538045Z [2022-11-23 01:27:31,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2538765Z [2022-11-23 01:27:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2539508Z [2022-11-23 01:27:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2540350Z [2022-11-23 01:27:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2541054Z [2022-11-23 01:27:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2541840Z [2022-11-23 01:27:31,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2542826Z [2022-11-23 01:27:31,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2543818Z [2022-11-23 01:27:31,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2544608Z [2022-11-23 01:27:31,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2545435Z [2022-11-23 01:27:31,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2546161Z [2022-11-23 01:27:31,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2546822Z [2022-11-23 01:27:31,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2547522Z [2022-11-23 01:27:31,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1686 2022-11-23T01:30:36.2548101Z [2022-11-23 01:27:31,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2548633Z [2022-11-23 01:27:31,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2549470Z [2022-11-23 01:27:31,173] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2550006Z [2022-11-23 01:27:31,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2550527Z [2022-11-23 01:27:31,173] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2551078Z [2022-11-23 01:27:31,175] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2551616Z [2022-11-23 01:27:31,182] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2552000Z [2022-11-23 01:27:31,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2552275Z __compiled_fn_367 .3019 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2552456Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2553014Z call_function, getitem, , (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {} 2022-11-23T01:30:36.2553562Z call_function, getitem_1, , (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {} 2022-11-23T01:30:36.2554019Z call_function, add, , (getitem, getitem_1), {} 2022-11-23T01:30:36.2554384Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:36.2554944Z call_function, getitem_2, , (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {} 2022-11-23T01:30:36.2555291Z call_function, add_2, , (ex_0_, 2), {} 2022-11-23T01:30:36.2555834Z call_function, getitem_3, , (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {} 2022-11-23T01:30:36.2556246Z call_function, add_3, , (getitem_2, getitem_3), {} 2022-11-23T01:30:36.2556460Z output, output, output, ((add, add_3),), {} 2022-11-23T01:30:36.2556474Z 2022-11-23T01:30:36.2557189Z [2022-11-23 01:27:31,183] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2557433Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2557618Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2557791Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2557956Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2558134Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2558318Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2558470Z 12 RETURN_VALUE 2022-11-23T01:30:36.2558480Z 2022-11-23T01:30:36.2558601Z 2022-11-23T01:30:36.2559307Z [2022-11-23 01:27:31,183] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2559528Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_367) 2022-11-23T01:30:36.2559708Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2559870Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2560103Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2560284Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2560501Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2560712Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2560892Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2561052Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2561237Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2561420Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2561577Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2561752Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.2561902Z 26 RETURN_VALUE 2022-11-23T01:30:36.2561914Z 2022-11-23T01:30:36.2562036Z 2022-11-23T01:30:36.2562423Z [2022-11-23 01:27:31,184] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2562547Z - 2022-11-23T01:30:36.2562794Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2562922Z { 2022-11-23T01:30:36.2563217Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2563613Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2563859Z 'obj_weakref': None 2022-11-23T01:30:36.2564332Z 'guarded_class': 2022-11-23T01:30:36.2564445Z } 2022-11-23T01:30:36.2564570Z 2022-11-23T01:30:36.2564711Z - 2022-11-23T01:30:36.2565068Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2565196Z { 2022-11-23T01:30:36.2565496Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2565717Z 'code': None, 2022-11-23T01:30:36.2566141Z 'obj_weakref': 2022-11-23T01:30:36.2566677Z 'guarded_class': 2022-11-23T01:30:36.2566810Z } 2022-11-23T01:30:36.2566936Z 2022-11-23T01:30:36.2567148Z - 2022-11-23T01:30:36.2567422Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2567549Z { 2022-11-23T01:30:36.2567808Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2568156Z 'code': ['___check_obj_id(model, 140534621340144)'], 2022-11-23T01:30:36.2568407Z 'obj_weakref': None 2022-11-23T01:30:36.2568892Z 'guarded_class': 2022-11-23T01:30:36.2569020Z } 2022-11-23T01:30:36.2569151Z 2022-11-23T01:30:36.2569292Z - 2022-11-23T01:30:36.2569521Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2569647Z { 2022-11-23T01:30:36.2569921Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2570440Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2570682Z 'obj_weakref': None 2022-11-23T01:30:36.2571156Z 'guarded_class': 2022-11-23T01:30:36.2571279Z } 2022-11-23T01:30:36.2571386Z 2022-11-23T01:30:36.2571939Z [2022-11-23 01:27:31,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360 2022-11-23T01:30:36.2572743Z [2022-11-23 01:27:32,638] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mt/cmtneb2t5zu2yuv4yp3xfpkrpih5zkz6zwfkvscprm5jqjvoxrev.py 2022-11-23T01:30:36.2573312Z [2022-11-23 01:27:32,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360 2022-11-23T01:30:36.2573324Z 2022-11-23T01:30:36.2573514Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2573651Z import torch 2022-11-23T01:30:36.2573790Z import random 2022-11-23T01:30:36.2574033Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2574265Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2574294Z 2022-11-23T01:30:36.2574436Z aten = torch.ops.aten 2022-11-23T01:30:36.2574715Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2574907Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2574916Z 2022-11-23T01:30:36.2574924Z 2022-11-23T01:30:36.2575200Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2575634Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2575883Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2576079Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2576276Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.2576377Z { 2022-11-23T01:30:36.2576577Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2576702Z { 2022-11-23T01:30:36.2576856Z #pragma omp for 2022-11-23T01:30:36.2577022Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.2577152Z { 2022-11-23T01:30:36.2577266Z { 2022-11-23T01:30:36.2577395Z { 2022-11-23T01:30:36.2577592Z auto tmp0 = in_ptr0[1 + (4*i0)]; 2022-11-23T01:30:36.2577781Z auto tmp1 = in_ptr0[42 + (4*i0)]; 2022-11-23T01:30:36.2577966Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2578183Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.2578367Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:30:36.2578557Z auto tmp5 = static_cast(2); 2022-11-23T01:30:36.2578737Z auto tmp6 = tmp1 + tmp5; 2022-11-23T01:30:36.2578918Z auto tmp7 = tmp4 + tmp6; 2022-11-23T01:30:36.2579086Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.2579251Z out_ptr1[i0] = tmp7; 2022-11-23T01:30:36.2579387Z } 2022-11-23T01:30:36.2579518Z } 2022-11-23T01:30:36.2579627Z } 2022-11-23T01:30:36.2579754Z } 2022-11-23T01:30:36.2579873Z } 2022-11-23T01:30:36.2580071Z ''') 2022-11-23T01:30:36.2580083Z 2022-11-23T01:30:36.2580091Z 2022-11-23T01:30:36.2580279Z async_compile.wait(globals()) 2022-11-23T01:30:36.2580428Z del async_compile 2022-11-23T01:30:36.2580437Z 2022-11-23T01:30:36.2580581Z def call(args): 2022-11-23T01:30:36.2580698Z arg0_1, = args 2022-11-23T01:30:36.2580842Z args.clear() 2022-11-23T01:30:36.2581270Z buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2581694Z buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2582038Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2582178Z del arg0_1 2022-11-23T01:30:36.2582337Z return (buf0, buf1, ) 2022-11-23T01:30:36.2582392Z 2022-11-23T01:30:36.2582401Z 2022-11-23T01:30:36.2582553Z if __name__ == "__main__": 2022-11-23T01:30:36.2582771Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2583030Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2583464Z arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2583684Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2583693Z 2022-11-23T01:30:36.2583824Z ok (1.483s) 2022-11-23T01:30:36.2584510Z test_slice_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2585203Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2585665Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2586220Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2586805Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2587516Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2588275Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2588974Z [2022-11-23 01:27:32,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2589798Z [2022-11-23 01:27:32,645] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2589995Z 3291 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2590200Z 2 LOAD_METHOD 1 (zeros_like) 2022-11-23T01:30:36.2590386Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2590559Z 6 CALL_METHOD 1 2022-11-23T01:30:36.2590717Z 8 STORE_FAST 1 (x) 2022-11-23T01:30:36.2590726Z 2022-11-23T01:30:36.2590904Z 3292 10 LOAD_FAST 1 (x) 2022-11-23T01:30:36.2591083Z 12 LOAD_CONST 1 (1) 2022-11-23T01:30:36.2591229Z 14 BINARY_ADD 2022-11-23T01:30:36.2591408Z 16 STORE_FAST 2 (b) 2022-11-23T01:30:36.2591417Z 2022-11-23T01:30:36.2591599Z 3293 18 LOAD_CONST 2 (3.0) 2022-11-23T01:30:36.2591779Z 20 LOAD_FAST 1 (x) 2022-11-23T01:30:36.2591974Z 22 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2592141Z 24 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2592318Z 26 BUILD_SLICE 2 2022-11-23T01:30:36.2592541Z 28 LOAD_CONST 3 (3) 2022-11-23T01:30:36.2592725Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.2592888Z 32 STORE_SUBSCR 2022-11-23T01:30:36.2592899Z 2022-11-23T01:30:36.2593086Z 3294 34 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2593276Z 36 LOAD_METHOD 2 (clone) 2022-11-23T01:30:36.2593430Z 38 LOAD_FAST 1 (x) 2022-11-23T01:30:36.2593605Z 40 CALL_METHOD 1 2022-11-23T01:30:36.2593782Z 42 STORE_FAST 3 (c) 2022-11-23T01:30:36.2593791Z 2022-11-23T01:30:36.2593969Z 3295 44 LOAD_CONST 4 (4.0) 2022-11-23T01:30:36.2594147Z 46 LOAD_FAST 1 (x) 2022-11-23T01:30:36.2594320Z 48 LOAD_CONST 5 (4) 2022-11-23T01:30:36.2594552Z 50 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2594729Z 52 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2594888Z 54 BUILD_SLICE 2 2022-11-23T01:30:36.2595063Z 56 BUILD_TUPLE 2 2022-11-23T01:30:36.2595209Z 58 STORE_SUBSCR 2022-11-23T01:30:36.2595219Z 2022-11-23T01:30:36.2595391Z 3296 60 LOAD_FAST 1 (x) 2022-11-23T01:30:36.2595563Z 62 LOAD_CONST 1 (1) 2022-11-23T01:30:36.2595709Z 64 BINARY_ADD 2022-11-23T01:30:36.2595885Z 66 STORE_FAST 4 (d) 2022-11-23T01:30:36.2595894Z 2022-11-23T01:30:36.2596048Z 3297 68 LOAD_FAST 1 (x) 2022-11-23T01:30:36.2596221Z 70 LOAD_FAST 2 (b) 2022-11-23T01:30:36.2596395Z 72 LOAD_FAST 3 (c) 2022-11-23T01:30:36.2596564Z 74 LOAD_FAST 4 (d) 2022-11-23T01:30:36.2596747Z 76 BUILD_TUPLE 4 2022-11-23T01:30:36.2596897Z 78 RETURN_VALUE 2022-11-23T01:30:36.2597015Z 2022-11-23T01:30:36.2597024Z 2022-11-23T01:30:36.2597711Z [2022-11-23 01:27:32,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3291 2022-11-23T01:30:36.2598159Z [2022-11-23 01:27:32,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2598976Z [2022-11-23 01:27:32,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable()] 2022-11-23T01:30:36.2599699Z [2022-11-23 01:27:32,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2600590Z [2022-11-23 01:27:32,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2601120Z [2022-11-23 01:27:32,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:30:36.2601816Z [2022-11-23 01:27:32,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3292 2022-11-23T01:30:36.2602261Z [2022-11-23 01:27:32,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.2602777Z [2022-11-23 01:27:32,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.2603380Z [2022-11-23 01:27:32,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2603888Z [2022-11-23 01:27:32,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:36.2604555Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3293 2022-11-23T01:30:36.2605190Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [] 2022-11-23T01:30:36.2605742Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)] 2022-11-23T01:30:36.2606362Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.2607087Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2607913Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2608571Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2609431Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2610120Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2610796Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3294 2022-11-23T01:30:36.2611264Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2612044Z [2022-11-23 01:27:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable()] 2022-11-23T01:30:36.2612751Z [2022-11-23 01:27:32,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.2613529Z [2022-11-23 01:27:32,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2614041Z [2022-11-23 01:27:32,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:36.2614731Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3295 2022-11-23T01:30:36.2615189Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 [] 2022-11-23T01:30:36.2615726Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)] 2022-11-23T01:30:36.2616328Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.2617042Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2617842Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2618743Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2619470Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()] 2022-11-23T01:30:36.2620158Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2620909Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3296 2022-11-23T01:30:36.2621353Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.2621867Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.2622483Z [2022-11-23 01:27:32,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2622986Z [2022-11-23 01:27:32,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:30:36.2623669Z [2022-11-23 01:27:32,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3297 2022-11-23T01:30:36.2624118Z [2022-11-23 01:27:32,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.2624679Z [2022-11-23 01:27:32,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.2625244Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2625882Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2626593Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2627126Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2627957Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2628490Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2628997Z [2022-11-23 01:27:32,653] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2629552Z [2022-11-23 01:27:32,654] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2630094Z [2022-11-23 01:27:32,660] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2630492Z [2022-11-23 01:27:32,661] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2630751Z __compiled_fn_368 .3025 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2630930Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2631462Z call_function, zeros_like, , (ex_0_,), {} 2022-11-23T01:30:36.2631845Z call_function, add, , (zeros_like, 1), {} 2022-11-23T01:30:36.2632364Z call_function, setitem, , (zeros_like, (slice(None, None, None), 3), 3.0), {} 2022-11-23T01:30:36.2632884Z call_function, clone, , (zeros_like,), {} 2022-11-23T01:30:36.2633410Z call_function, setitem_1, , (zeros_like, (4, slice(None, None, None)), 4.0), {} 2022-11-23T01:30:36.2633798Z call_function, add_1, , (zeros_like, 1), {} 2022-11-23T01:30:36.2634033Z output, output, output, ((zeros_like, add, clone, add_1),), {} 2022-11-23T01:30:36.2634042Z 2022-11-23T01:30:36.2634751Z [2022-11-23 01:27:32,661] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2634935Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2635116Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2635294Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2635481Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2635702Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2635887Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2636019Z 12 RETURN_VALUE 2022-11-23T01:30:36.2636031Z 2022-11-23T01:30:36.2636156Z 2022-11-23T01:30:36.2636877Z [2022-11-23 01:27:32,661] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2637094Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_368) 2022-11-23T01:30:36.2637280Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2637462Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2637613Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2637790Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2637983Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2638237Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2638417Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2638579Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2638783Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2638963Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2639112Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2639294Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2639473Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.2639633Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.2639832Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2640090Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.2640242Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.2640422Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.2640560Z 38 RETURN_VALUE 2022-11-23T01:30:36.2640569Z 2022-11-23T01:30:36.2640691Z 2022-11-23T01:30:36.2641086Z [2022-11-23 01:27:32,662] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2641231Z - 2022-11-23T01:30:36.2641481Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2641614Z { 2022-11-23T01:30:36.2641912Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2642285Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2642535Z 'obj_weakref': None 2022-11-23T01:30:36.2643015Z 'guarded_class': 2022-11-23T01:30:36.2643143Z } 2022-11-23T01:30:36.2643277Z 2022-11-23T01:30:36.2643417Z - 2022-11-23T01:30:36.2643685Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2643793Z { 2022-11-23T01:30:36.2644091Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2644320Z 'code': None, 2022-11-23T01:30:36.2644852Z 'obj_weakref': 2022-11-23T01:30:36.2645405Z 'guarded_class': 2022-11-23T01:30:36.2645537Z } 2022-11-23T01:30:36.2645668Z 2022-11-23T01:30:36.2645786Z - 2022-11-23T01:30:36.2646070Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2646197Z { 2022-11-23T01:30:36.2646478Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2646833Z 'code': ['___check_obj_id(model, 140534643337840)'], 2022-11-23T01:30:36.2647077Z 'obj_weakref': None 2022-11-23T01:30:36.2647561Z 'guarded_class': 2022-11-23T01:30:36.2647670Z } 2022-11-23T01:30:36.2647801Z 2022-11-23T01:30:36.2647943Z - 2022-11-23T01:30:36.2648196Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2648327Z { 2022-11-23T01:30:36.2648615Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2649165Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2649398Z 'obj_weakref': None 2022-11-23T01:30:36.2649868Z 'guarded_class': 2022-11-23T01:30:36.2649998Z } 2022-11-23T01:30:36.2650126Z 2022-11-23T01:30:36.2650267Z - 2022-11-23T01:30:36.2650548Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2650682Z { 2022-11-23T01:30:36.2650910Z 'guard_types': None, 2022-11-23T01:30:36.2651129Z 'code': None, 2022-11-23T01:30:36.2651374Z 'obj_weakref': None 2022-11-23T01:30:36.2651632Z 'guarded_class': None 2022-11-23T01:30:36.2651822Z } 2022-11-23T01:30:36.2651951Z 2022-11-23T01:30:36.2652517Z [2022-11-23 01:27:32,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361 2022-11-23T01:30:36.2653305Z [2022-11-23 01:27:34,211] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2fiqwvhamvkghr7ox6qc7azg5aleps5pkycbqf4hwuxnz2trih.py 2022-11-23T01:30:36.2653872Z [2022-11-23 01:27:34,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361 2022-11-23T01:30:36.2653882Z 2022-11-23T01:30:36.2654079Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2654224Z import torch 2022-11-23T01:30:36.2654367Z import random 2022-11-23T01:30:36.2654607Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2654860Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2654871Z 2022-11-23T01:30:36.2655035Z aten = torch.ops.aten 2022-11-23T01:30:36.2655296Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2655490Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2655501Z 2022-11-23T01:30:36.2655510Z 2022-11-23T01:30:36.2655797Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2656240Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2656477Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2656676Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.2656873Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.2657065Z float* __restrict__ out_ptr3) 2022-11-23T01:30:36.2657169Z { 2022-11-23T01:30:36.2657372Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2657502Z { 2022-11-23T01:30:36.2657661Z #pragma omp for 2022-11-23T01:30:36.2657829Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2657960Z { 2022-11-23T01:30:36.2658272Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:30:36.2658537Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.2658717Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2658906Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2659090Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.2659224Z } 2022-11-23T01:30:36.2659419Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2659592Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.2659696Z { 2022-11-23T01:30:36.2659901Z auto tmp0 = static_cast(0); 2022-11-23T01:30:36.2660111Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.2660286Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2660455Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.2660612Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:36.2660739Z } 2022-11-23T01:30:36.2660874Z #pragma omp for 2022-11-23T01:30:36.2661045Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2661172Z { 2022-11-23T01:30:36.2661302Z { 2022-11-23T01:30:36.2661430Z { 2022-11-23T01:30:36.2661743Z auto tmp0 = static_cast(3.0); 2022-11-23T01:30:36.2661907Z out_ptr0[3 + (8*i0)] = tmp0; 2022-11-23T01:30:36.2662039Z } 2022-11-23T01:30:36.2662167Z } 2022-11-23T01:30:36.2662294Z } 2022-11-23T01:30:36.2662448Z #pragma omp for 2022-11-23T01:30:36.2662614Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2662739Z { 2022-11-23T01:30:36.2662994Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2663180Z tmp0.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.2663306Z } 2022-11-23T01:30:36.2663495Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2663659Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.2663791Z { 2022-11-23T01:30:36.2664014Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:36.2664155Z out_ptr2[i0] = tmp0; 2022-11-23T01:30:36.2664283Z } 2022-11-23T01:30:36.2664440Z #pragma omp for 2022-11-23T01:30:36.2664605Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.2664729Z { 2022-11-23T01:30:36.2665012Z auto tmp0 = at::vec::Vectorized(static_cast(4.0)); 2022-11-23T01:30:36.2665212Z tmp0.store(out_ptr0 + 32 + (8*i0)); 2022-11-23T01:30:36.2665319Z } 2022-11-23T01:30:36.2665512Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2665678Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.2665804Z { 2022-11-23T01:30:36.2666010Z auto tmp0 = static_cast(4.0); 2022-11-23T01:30:36.2666176Z out_ptr0[32 + i0] = tmp0; 2022-11-23T01:30:36.2666301Z } 2022-11-23T01:30:36.2666438Z #pragma omp for 2022-11-23T01:30:36.2666599Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2666732Z { 2022-11-23T01:30:36.2667015Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2667296Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.2667473Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2667656Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:30:36.2667764Z } 2022-11-23T01:30:36.2667957Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2668123Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.2668246Z { 2022-11-23T01:30:36.2668421Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:30:36.2668622Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.2668795Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2668936Z out_ptr3[i0] = tmp2; 2022-11-23T01:30:36.2669063Z } 2022-11-23T01:30:36.2669186Z } 2022-11-23T01:30:36.2669313Z } 2022-11-23T01:30:36.2669480Z ''') 2022-11-23T01:30:36.2669495Z 2022-11-23T01:30:36.2669503Z 2022-11-23T01:30:36.2669682Z async_compile.wait(globals()) 2022-11-23T01:30:36.2669828Z del async_compile 2022-11-23T01:30:36.2669837Z 2022-11-23T01:30:36.2669965Z def call(args): 2022-11-23T01:30:36.2670102Z arg0_1, = args 2022-11-23T01:30:36.2670246Z args.clear() 2022-11-23T01:30:36.2670658Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2671065Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2671467Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2671869Z buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2672256Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:30:36.2672418Z return (buf0, buf1, buf3, buf5, ) 2022-11-23T01:30:36.2672427Z 2022-11-23T01:30:36.2672435Z 2022-11-23T01:30:36.2672594Z if __name__ == "__main__": 2022-11-23T01:30:36.2672828Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2673132Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2673551Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2673775Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2673785Z 2022-11-23T01:30:36.2673917Z ok (1.572s) 2022-11-23T01:30:36.2674602Z test_slice_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:34,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:36.2675267Z [2022-11-23 01:27:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3304 2022-11-23T01:30:36.2675715Z [2022-11-23 01:27:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.2676241Z [2022-11-23 01:27:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:30:36.2676936Z [2022-11-23 01:27:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2677664Z [2022-11-23 01:27:34,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2678247Z [2022-11-23 01:27:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2678910Z [2022-11-23 01:27:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2679653Z [2022-11-23 01:27:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2680449Z [2022-11-23 01:27:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2681059Z [2022-11-23 01:27:34,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2681551Z [2022-11-23 01:27:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.2682155Z [2022-11-23 01:27:34,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2682665Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.2683246Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2683923Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2684706Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2685458Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2686184Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2687012Z [2022-11-23 01:27:34,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2687728Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2688387Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2689177Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3305 2022-11-23T01:30:36.2689633Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.2690165Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:30:36.2690796Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2691531Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2692110Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2692822Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2693563Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2694197Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2694790Z [2022-11-23 01:27:34,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2695307Z [2022-11-23 01:27:34,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.2695898Z [2022-11-23 01:27:34,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2696420Z [2022-11-23 01:27:34,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.2697009Z [2022-11-23 01:27:34,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2697704Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2698500Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2699146Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2699883Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2700695Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2701395Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2702049Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2702505Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [] 2022-11-23T01:30:36.2703055Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)] 2022-11-23T01:30:36.2703552Z [2022-11-23 01:27:34,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:36.2704065Z [2022-11-23 01:27:34,223] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.2704769Z [2022-11-23 01:27:34,230] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:30:36.2705339Z [2022-11-23 01:27:34,230] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:30:36.2705840Z [2022-11-23 01:27:34,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.2706236Z [2022-11-23 01:27:34,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2706515Z __compiled_fn_369 .3028 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2706662Z placeholder, a, a, (), {} 2022-11-23T01:30:36.2707208Z call_function, getitem, , (a, (slice(None, None, None), slice(20, 40, None))), {} 2022-11-23T01:30:36.2707585Z call_function, add, , (getitem, 1), {} 2022-11-23T01:30:36.2708221Z call_function, setitem, , (a, (slice(None, None, None), slice(20, 40, None)), add), {} 2022-11-23T01:30:36.2708766Z call_function, getitem_1, , (a, (slice(None, None, None), slice(1, 10, None))), {} 2022-11-23T01:30:36.2709156Z call_function, add_1, , (getitem_1, 2), {} 2022-11-23T01:30:36.2709708Z call_function, setitem_1, , (a, (slice(None, None, None), slice(2, 11, None)), add_1), {} 2022-11-23T01:30:36.2709898Z output, output, output, ((),), {} 2022-11-23T01:30:36.2709908Z 2022-11-23T01:30:36.2710619Z [2022-11-23 01:27:34,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 2022-11-23T01:30:36.2710785Z 3304 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2710967Z 2 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2711150Z 4 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2711337Z 6 BUILD_SLICE 2 2022-11-23T01:30:36.2711519Z 8 LOAD_CONST 1 (20) 2022-11-23T01:30:36.2711705Z 10 LOAD_CONST 2 (40) 2022-11-23T01:30:36.2711890Z 12 BUILD_SLICE 2 2022-11-23T01:30:36.2712044Z 14 BUILD_TUPLE 2 2022-11-23T01:30:36.2712202Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2712384Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2712532Z 20 BINARY_ADD 2022-11-23T01:30:36.2712715Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2712899Z 24 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2713082Z 26 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2713243Z 28 BUILD_SLICE 2 2022-11-23T01:30:36.2713423Z 30 LOAD_CONST 1 (20) 2022-11-23T01:30:36.2713600Z 32 LOAD_CONST 2 (40) 2022-11-23T01:30:36.2713780Z 34 BUILD_SLICE 2 2022-11-23T01:30:36.2713955Z 36 BUILD_TUPLE 2 2022-11-23T01:30:36.2714105Z 38 STORE_SUBSCR 2022-11-23T01:30:36.2714119Z 2022-11-23T01:30:36.2714299Z 3305 40 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2714484Z 42 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2714643Z 44 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2714814Z 46 BUILD_SLICE 2 2022-11-23T01:30:36.2714989Z 48 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2715166Z 50 LOAD_CONST 4 (10) 2022-11-23T01:30:36.2715340Z 52 BUILD_SLICE 2 2022-11-23T01:30:36.2715514Z 54 BUILD_TUPLE 2 2022-11-23T01:30:36.2715668Z 56 BINARY_SUBSCR 2022-11-23T01:30:36.2715825Z 58 LOAD_CONST 5 (2) 2022-11-23T01:30:36.2715973Z 60 BINARY_ADD 2022-11-23T01:30:36.2716154Z 62 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2716335Z 64 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2716576Z 66 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2716751Z 68 BUILD_SLICE 2 2022-11-23T01:30:36.2716926Z 70 LOAD_CONST 5 (2) 2022-11-23T01:30:36.2717088Z 72 LOAD_CONST 6 (11) 2022-11-23T01:30:36.2717265Z 74 BUILD_SLICE 2 2022-11-23T01:30:36.2717443Z 76 BUILD_TUPLE 2 2022-11-23T01:30:36.2717595Z 78 STORE_SUBSCR 2022-11-23T01:30:36.2717778Z 80 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2717930Z 82 RETURN_VALUE 2022-11-23T01:30:36.2717942Z 2022-11-23T01:30:36.2718064Z 2022-11-23T01:30:36.2718777Z [2022-11-23 01:27:34,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 2022-11-23T01:30:36.2719027Z 3303 0 LOAD_GLOBAL 0 (__compiled_fn_369) 2022-11-23T01:30:36.2719210Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2719393Z 4 CALL_FUNCTION 1 2022-11-23T01:30:36.2719537Z 6 POP_TOP 2022-11-23T01:30:36.2719717Z 8 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2719870Z 10 RETURN_VALUE 2022-11-23T01:30:36.2719879Z 2022-11-23T01:30:36.2720076Z 2022-11-23T01:30:36.2720452Z [2022-11-23 01:27:34,231] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2720599Z - 2022-11-23T01:30:36.2720846Z local 'a' TENSOR_MATCH 2022-11-23T01:30:36.2720980Z { 2022-11-23T01:30:36.2721277Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2721503Z 'code': None, 2022-11-23T01:30:36.2721953Z 'obj_weakref': 2022-11-23T01:30:36.2722473Z 'guarded_class': 2022-11-23T01:30:36.2722608Z } 2022-11-23T01:30:36.2722742Z 2022-11-23T01:30:36.2722882Z ok (0.019s) 2022-11-23T01:30:36.2723575Z test_slice_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:34,244] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2724271Z [2022-11-23 01:27:34,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2724830Z [2022-11-23 01:27:34,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2725399Z [2022-11-23 01:27:34,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2725988Z [2022-11-23 01:27:34,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2726709Z [2022-11-23 01:27:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2727407Z [2022-11-23 01:27:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2728132Z [2022-11-23 01:27:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2728953Z [2022-11-23 01:27:34,245] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2729148Z 3658 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.2729365Z 2 LOAD_METHOD 1 (slice_scatter) 2022-11-23T01:30:36.2729549Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2729738Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.2729900Z 8 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2730169Z 10 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2730379Z 12 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:30:36.2730564Z 14 CALL_METHOD 5 2022-11-23T01:30:36.2730717Z 16 RETURN_VALUE 2022-11-23T01:30:36.2730839Z 2022-11-23T01:30:36.2730853Z 2022-11-23T01:30:36.2731544Z [2022-11-23 01:27:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3658 2022-11-23T01:30:36.2732009Z [2022-11-23 01:27:34,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.2732680Z [2022-11-23 01:27:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:30:36.2733317Z [2022-11-23 01:27:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)] 2022-11-23T01:30:36.2733970Z [2022-11-23 01:27:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()] 2022-11-23T01:30:36.2734678Z [2022-11-23 01:27:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2735466Z [2022-11-23 01:27:34,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2736394Z [2022-11-23 01:27:34,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2737382Z [2022-11-23 01:27:34,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2737928Z [2022-11-23 01:27:34,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2738754Z [2022-11-23 01:27:34,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2739285Z [2022-11-23 01:27:34,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2739792Z [2022-11-23 01:27:34,253] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2740335Z [2022-11-23 01:27:34,254] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2740866Z [2022-11-23 01:27:34,256] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2741276Z [2022-11-23 01:27:34,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2741559Z __compiled_fn_370 .3034 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2741742Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2741920Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.2742220Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {} 2022-11-23T01:30:36.2742443Z output, output, output, ((slice_scatter,),), {} 2022-11-23T01:30:36.2742455Z 2022-11-23T01:30:36.2743171Z [2022-11-23 01:27:34,257] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2743339Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2743515Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2743694Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2743878Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2744099Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2744284Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2744435Z 12 RETURN_VALUE 2022-11-23T01:30:36.2744445Z 2022-11-23T01:30:36.2744568Z 2022-11-23T01:30:36.2745273Z [2022-11-23 01:27:34,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2745494Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_370) 2022-11-23T01:30:36.2745673Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2745855Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2746013Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2746191Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2746369Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2746547Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.2746722Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.2746910Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.2747062Z 18 RETURN_VALUE 2022-11-23T01:30:36.2747071Z 2022-11-23T01:30:36.2747189Z 2022-11-23T01:30:36.2747580Z [2022-11-23 01:27:34,258] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2747718Z - 2022-11-23T01:30:36.2747943Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2748072Z { 2022-11-23T01:30:36.2748368Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2748754Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.2749004Z 'obj_weakref': None 2022-11-23T01:30:36.2749479Z 'guarded_class': 2022-11-23T01:30:36.2749608Z } 2022-11-23T01:30:36.2749719Z 2022-11-23T01:30:36.2749858Z - 2022-11-23T01:30:36.2750114Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2750239Z { 2022-11-23T01:30:36.2750541Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2750766Z 'code': None, 2022-11-23T01:30:36.2751212Z 'obj_weakref': 2022-11-23T01:30:36.2751720Z 'guarded_class': 2022-11-23T01:30:36.2751852Z } 2022-11-23T01:30:36.2751982Z 2022-11-23T01:30:36.2752118Z - 2022-11-23T01:30:36.2752381Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.2752509Z { 2022-11-23T01:30:36.2752807Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2753003Z 'code': None, 2022-11-23T01:30:36.2753451Z 'obj_weakref': 2022-11-23T01:30:36.2753994Z 'guarded_class': 2022-11-23T01:30:36.2754128Z } 2022-11-23T01:30:36.2754258Z 2022-11-23T01:30:36.2754400Z - 2022-11-23T01:30:36.2754673Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2754783Z { 2022-11-23T01:30:36.2755058Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2755409Z 'code': ['___check_obj_id(model, 140534643337840)'], 2022-11-23T01:30:36.2755663Z 'obj_weakref': None 2022-11-23T01:30:36.2756146Z 'guarded_class': 2022-11-23T01:30:36.2756274Z } 2022-11-23T01:30:36.2756400Z 2022-11-23T01:30:36.2756519Z - 2022-11-23T01:30:36.2756776Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2756906Z { 2022-11-23T01:30:36.2757189Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2757647Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2757988Z 'obj_weakref': None 2022-11-23T01:30:36.2758459Z 'guarded_class': 2022-11-23T01:30:36.2758566Z } 2022-11-23T01:30:36.2758696Z 2022-11-23T01:30:36.2758835Z - 2022-11-23T01:30:36.2759108Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.2759234Z { 2022-11-23T01:30:36.2759486Z 'guard_types': None, 2022-11-23T01:30:36.2759700Z 'code': None, 2022-11-23T01:30:36.2759926Z 'obj_weakref': None 2022-11-23T01:30:36.2760260Z 'guarded_class': None 2022-11-23T01:30:36.2760386Z } 2022-11-23T01:30:36.2760518Z 2022-11-23T01:30:36.2761078Z [2022-11-23 01:27:34,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362 2022-11-23T01:30:36.2761944Z [2022-11-23 01:27:35,727] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca24clxer7zvwm5mcxsd3txvjsv662ikp5jgz3jrccf7rgyjuato.py 2022-11-23T01:30:36.2762530Z [2022-11-23 01:27:35,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362 2022-11-23T01:30:36.2762540Z 2022-11-23T01:30:36.2762734Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2762858Z import torch 2022-11-23T01:30:36.2762999Z import random 2022-11-23T01:30:36.2763239Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2763489Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2763499Z 2022-11-23T01:30:36.2763657Z aten = torch.ops.aten 2022-11-23T01:30:36.2763937Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2764124Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2764133Z 2022-11-23T01:30:36.2764147Z 2022-11-23T01:30:36.2764426Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2764940Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2765200Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2765407Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.2765532Z { 2022-11-23T01:30:36.2765737Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2765863Z { 2022-11-23T01:30:36.2766021Z #pragma omp for 2022-11-23T01:30:36.2766172Z for(long i0=0; i0<75648; i0+=1) 2022-11-23T01:30:36.2766299Z { 2022-11-23T01:30:36.2766608Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.2766807Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.2766937Z } 2022-11-23T01:30:36.2767145Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.2767332Z for(long i0=605184; i0<605184; i0+=1) 2022-11-23T01:30:36.2767447Z { 2022-11-23T01:30:36.2767620Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.2767786Z out_ptr0[i0] = tmp0; 2022-11-23T01:30:36.2767918Z } 2022-11-23T01:30:36.2768048Z } 2022-11-23T01:30:36.2768171Z } 2022-11-23T01:30:36.2768311Z ''') 2022-11-23T01:30:36.2768339Z 2022-11-23T01:30:36.2768348Z 2022-11-23T01:30:36.2768513Z async_compile.wait(globals()) 2022-11-23T01:30:36.2768660Z del async_compile 2022-11-23T01:30:36.2768670Z 2022-11-23T01:30:36.2768812Z def call(args): 2022-11-23T01:30:36.2768966Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.2769111Z args.clear() 2022-11-23T01:30:36.2769571Z buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2769849Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.2769971Z del arg1_1 2022-11-23T01:30:36.2770114Z return (buf0, ) 2022-11-23T01:30:36.2770122Z 2022-11-23T01:30:36.2770137Z 2022-11-23T01:30:36.2770290Z if __name__ == "__main__": 2022-11-23T01:30:36.2770523Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2770872Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2771332Z arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2771779Z arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2772017Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.2772029Z 2022-11-23T01:30:36.2772145Z ok (1.502s) 2022-11-23T01:30:36.2772830Z test_slice_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2773531Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2773999Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2774618Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2775225Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2775939Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2776710Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2777433Z [2022-11-23 01:27:35,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2778253Z [2022-11-23 01:27:35,739] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2778433Z 3644 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.2778647Z 2 LOAD_METHOD 1 (slice_scatter) 2022-11-23T01:30:36.2778830Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2779008Z 6 LOAD_FAST 1 (a) 2022-11-23T01:30:36.2779187Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:36.2779369Z 10 LOAD_CONST 2 (10) 2022-11-23T01:30:36.2779659Z 12 LOAD_CONST 3 (-10) 2022-11-23T01:30:36.2779833Z 14 CALL_METHOD 5 2022-11-23T01:30:36.2779842Z 2022-11-23T01:30:36.2780008Z 3645 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.2780213Z 18 LOAD_METHOD 1 (slice_scatter) 2022-11-23T01:30:36.2780396Z 20 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2780576Z 22 LOAD_FAST 1 (a) 2022-11-23T01:30:36.2780765Z 24 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2780948Z 26 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2781121Z 28 BUILD_SLICE 2 2022-11-23T01:30:36.2781284Z 30 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2781457Z 32 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2781632Z 34 BUILD_SLICE 2 2022-11-23T01:30:36.2781807Z 36 LOAD_CONST 0 (None) 2022-11-23T01:30:36.2781984Z 38 LOAD_CONST 4 (40) 2022-11-23T01:30:36.2782165Z 40 BUILD_SLICE 2 2022-11-23T01:30:36.2782339Z 42 BUILD_TUPLE 3 2022-11-23T01:30:36.2782473Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.2782651Z 46 LOAD_CONST 1 (2) 2022-11-23T01:30:36.2782834Z 48 LOAD_CONST 2 (10) 2022-11-23T01:30:36.2783119Z 50 LOAD_CONST 3 (-10) 2022-11-23T01:30:36.2783294Z 52 LOAD_CONST 1 (2) 2022-11-23T01:30:36.2783519Z 54 CALL_METHOD 6 2022-11-23T01:30:36.2783531Z 2022-11-23T01:30:36.2783711Z 3643 56 BUILD_TUPLE 2 2022-11-23T01:30:36.2783875Z 58 RETURN_VALUE 2022-11-23T01:30:36.2783976Z 2022-11-23T01:30:36.2783985Z 2022-11-23T01:30:36.2784691Z [2022-11-23 01:27:35,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3644 2022-11-23T01:30:36.2785159Z [2022-11-23 01:27:35,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.2785858Z [2022-11-23 01:27:35,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:30:36.2786424Z [2022-11-23 01:27:35,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)] 2022-11-23T01:30:36.2787121Z [2022-11-23 01:27:35,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()] 2022-11-23T01:30:36.2787821Z [2022-11-23 01:27:35,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2788600Z [2022-11-23 01:27:35,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2789510Z [2022-11-23 01:27:35,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2790476Z [2022-11-23 01:27:35,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2791177Z [2022-11-23 01:27:35,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3645 2022-11-23T01:30:36.2791693Z [2022-11-23 01:27:35,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.2792463Z [2022-11-23 01:27:35,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2793103Z [2022-11-23 01:27:35,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)] 2022-11-23T01:30:36.2793807Z [2022-11-23 01:27:35,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()] 2022-11-23T01:30:36.2794561Z [2022-11-23 01:27:35,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2795441Z [2022-11-23 01:27:35,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2796433Z [2022-11-23 01:27:35,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2797254Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:30:36.2798192Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2799278Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2800331Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2801347Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.2802439Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:30:36.2803503Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:30:36.2804366Z [2022-11-23 01:27:35,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2805202Z [2022-11-23 01:27:35,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2806051Z [2022-11-23 01:27:35,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2807008Z [2022-11-23 01:27:35,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2808034Z [2022-11-23 01:27:35,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2809157Z [2022-11-23 01:27:35,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2809826Z [2022-11-23 01:27:35,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3643 2022-11-23T01:30:36.2810413Z [2022-11-23 01:27:35,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2810929Z [2022-11-23 01:27:35,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2811770Z [2022-11-23 01:27:35,759] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2812300Z [2022-11-23 01:27:35,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2812800Z [2022-11-23 01:27:35,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2813349Z [2022-11-23 01:27:35,760] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2813890Z [2022-11-23 01:27:35,765] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2814349Z [2022-11-23 01:27:35,765] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2814629Z __compiled_fn_371 .3040 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2814812Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2814989Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.2815431Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {} 2022-11-23T01:30:36.2816074Z call_function, getitem, , (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {} 2022-11-23T01:30:36.2816540Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {} 2022-11-23T01:30:36.2816802Z output, output, output, ((slice_scatter, slice_scatter_1),), {} 2022-11-23T01:30:36.2816814Z 2022-11-23T01:30:36.2817511Z [2022-11-23 01:27:35,766] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2817767Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2817952Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2818126Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2818314Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2818483Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2818664Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2818815Z 12 RETURN_VALUE 2022-11-23T01:30:36.2818825Z 2022-11-23T01:30:36.2818929Z 2022-11-23T01:30:36.2819634Z [2022-11-23 01:27:35,766] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2819854Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_371) 2022-11-23T01:30:36.2820019Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2820149Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2820238Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2820328Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2820403Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2820477Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.2820563Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.2820666Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2820765Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2820851Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2820925Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2821012Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2821100Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2821174Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.2821262Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.2821337Z 32 RETURN_VALUE 2022-11-23T01:30:36.2821342Z 2022-11-23T01:30:36.2821401Z 2022-11-23T01:30:36.2821588Z [2022-11-23 01:27:35,767] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2821658Z - 2022-11-23T01:30:36.2821763Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2821826Z { 2022-11-23T01:30:36.2821966Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2822150Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.2822268Z 'obj_weakref': None 2022-11-23T01:30:36.2822491Z 'guarded_class': 2022-11-23T01:30:36.2822554Z } 2022-11-23T01:30:36.2822605Z 2022-11-23T01:30:36.2822672Z - 2022-11-23T01:30:36.2822796Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2822859Z { 2022-11-23T01:30:36.2823002Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2823108Z 'code': None, 2022-11-23T01:30:36.2823351Z 'obj_weakref': 2022-11-23T01:30:36.2823591Z 'guarded_class': 2022-11-23T01:30:36.2823657Z } 2022-11-23T01:30:36.2823723Z 2022-11-23T01:30:36.2823791Z - 2022-11-23T01:30:36.2823913Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.2823975Z { 2022-11-23T01:30:36.2824115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2824209Z 'code': None, 2022-11-23T01:30:36.2824417Z 'obj_weakref': 2022-11-23T01:30:36.2824665Z 'guarded_class': 2022-11-23T01:30:36.2824760Z } 2022-11-23T01:30:36.2824827Z 2022-11-23T01:30:36.2824895Z - 2022-11-23T01:30:36.2825023Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2825076Z { 2022-11-23T01:30:36.2825210Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2825377Z 'code': ['___check_obj_id(model, 140534620783808)'], 2022-11-23T01:30:36.2825496Z 'obj_weakref': None 2022-11-23T01:30:36.2825725Z 'guarded_class': 2022-11-23T01:30:36.2825787Z } 2022-11-23T01:30:36.2825849Z 2022-11-23T01:30:36.2825905Z - 2022-11-23T01:30:36.2826024Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2826087Z { 2022-11-23T01:30:36.2826221Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2826437Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2826556Z 'obj_weakref': None 2022-11-23T01:30:36.2826775Z 'guarded_class': 2022-11-23T01:30:36.2826828Z } 2022-11-23T01:30:36.2826889Z 2022-11-23T01:30:36.2826959Z - 2022-11-23T01:30:36.2827089Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.2827152Z { 2022-11-23T01:30:36.2827271Z 'guard_types': None, 2022-11-23T01:30:36.2827364Z 'code': None, 2022-11-23T01:30:36.2827480Z 'obj_weakref': None 2022-11-23T01:30:36.2827600Z 'guarded_class': None 2022-11-23T01:30:36.2827664Z } 2022-11-23T01:30:36.2827727Z 2022-11-23T01:30:36.2827987Z [2022-11-23 01:27:35,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363 2022-11-23T01:30:36.2828350Z [2022-11-23 01:27:37,257] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qi/cqiuq3mx7f5pi6n2c257qwdc5l4liaaputeh2ppm36tpwmbn6uxn.py 2022-11-23T01:30:36.2828616Z [2022-11-23 01:27:37,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363 2022-11-23T01:30:36.2828624Z 2022-11-23T01:30:36.2828704Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2828774Z import torch 2022-11-23T01:30:36.2828843Z import random 2022-11-23T01:30:36.2828959Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2829080Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2829085Z 2022-11-23T01:30:36.2829162Z aten = torch.ops.aten 2022-11-23T01:30:36.2829295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2829386Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2829391Z 2022-11-23T01:30:36.2829395Z 2022-11-23T01:30:36.2829514Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2829717Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2829837Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2829941Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.2830067Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2830162Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.2830222Z { 2022-11-23T01:30:36.2830307Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2830368Z { 2022-11-23T01:30:36.2830445Z #pragma omp for 2022-11-23T01:30:36.2830527Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.2830589Z { 2022-11-23T01:30:36.2830668Z #pragma GCC ivdep 2022-11-23T01:30:36.2830752Z for(long i1=0; i1<100; i1+=1) 2022-11-23T01:30:36.2830804Z { 2022-11-23T01:30:36.2830869Z { 2022-11-23T01:30:36.2830935Z { 2022-11-23T01:30:36.2831038Z auto tmp8 = in_ptr1[i1 + (100*i0)]; 2022-11-23T01:30:36.2831172Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.2831272Z auto tmp1 = static_cast(10); 2022-11-23T01:30:36.2831366Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:36.2831453Z auto tmp3 = static_cast(90); 2022-11-23T01:30:36.2831545Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:36.2831636Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:30:36.2831720Z float tmp6 = 0.0; 2022-11-23T01:30:36.2831794Z if(tmp5) 2022-11-23T01:30:36.2831861Z { 2022-11-23T01:30:36.2832030Z auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)]; 2022-11-23T01:30:36.2832099Z tmp6 = tmp7; 2022-11-23T01:30:36.2832171Z } 2022-11-23T01:30:36.2832270Z auto tmp9 = tmp5 ? tmp6 : tmp8; 2022-11-23T01:30:36.2832379Z auto tmp10 = static_cast(i1 % 2); 2022-11-23T01:30:36.2832482Z auto tmp11 = static_cast(0); 2022-11-23T01:30:36.2832576Z auto tmp12 = tmp10 == tmp11; 2022-11-23T01:30:36.2832672Z auto tmp13 = tmp5 & tmp12; 2022-11-23T01:30:36.2832756Z float tmp14 = 0.0; 2022-11-23T01:30:36.2832819Z if(tmp13) 2022-11-23T01:30:36.2832886Z { 2022-11-23T01:30:36.2833062Z auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)]; 2022-11-23T01:30:36.2833146Z tmp14 = tmp15; 2022-11-23T01:30:36.2833213Z } 2022-11-23T01:30:36.2833316Z auto tmp16 = tmp13 ? tmp14 : tmp8; 2022-11-23T01:30:36.2833410Z out_ptr0[i1 + (100*i0)] = tmp9; 2022-11-23T01:30:36.2833493Z out_ptr1[i1 + (100*i0)] = tmp16; 2022-11-23T01:30:36.2833560Z } 2022-11-23T01:30:36.2833629Z } 2022-11-23T01:30:36.2833693Z } 2022-11-23T01:30:36.2833756Z } 2022-11-23T01:30:36.2833818Z } 2022-11-23T01:30:36.2833865Z } 2022-11-23T01:30:36.2833945Z ''') 2022-11-23T01:30:36.2833950Z 2022-11-23T01:30:36.2833954Z 2022-11-23T01:30:36.2834043Z async_compile.wait(globals()) 2022-11-23T01:30:36.2834115Z del async_compile 2022-11-23T01:30:36.2834120Z 2022-11-23T01:30:36.2834189Z def call(args): 2022-11-23T01:30:36.2834263Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.2834333Z args.clear() 2022-11-23T01:30:36.2834543Z buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2834737Z buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2834928Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.2834997Z del arg0_1 2022-11-23T01:30:36.2835066Z del arg1_1 2022-11-23T01:30:36.2835142Z return (buf0, buf1, ) 2022-11-23T01:30:36.2835147Z 2022-11-23T01:30:36.2835151Z 2022-11-23T01:30:36.2835227Z if __name__ == "__main__": 2022-11-23T01:30:36.2835371Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2835494Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2835688Z arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2835891Z arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2836006Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.2836011Z 2022-11-23T01:30:36.2836079Z ok (1.525s) 2022-11-23T01:30:36.2836383Z test_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2836700Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2836957Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2837213Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2837489Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2837796Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2838141Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2838461Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2838840Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2838939Z 1231 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2839038Z 2 LOAD_METHOD 1 (softmax) 2022-11-23T01:30:36.2839129Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2839217Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.2839290Z 8 BINARY_ADD 2022-11-23T01:30:36.2839415Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.2839503Z 12 CALL_METHOD 2 2022-11-23T01:30:36.2839596Z 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2839691Z 16 LOAD_METHOD 1 (softmax) 2022-11-23T01:30:36.2839779Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2839869Z 20 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2839955Z 22 CALL_METHOD 2 2022-11-23T01:30:36.2840129Z 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2840227Z 26 LOAD_METHOD 1 (softmax) 2022-11-23T01:30:36.2840313Z 28 LOAD_FAST 1 (b) 2022-11-23T01:30:36.2840400Z 30 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2840489Z 32 CALL_METHOD 2 2022-11-23T01:30:36.2840577Z 34 BUILD_TUPLE 3 2022-11-23T01:30:36.2840653Z 36 RETURN_VALUE 2022-11-23T01:30:36.2840701Z 2022-11-23T01:30:36.2840707Z 2022-11-23T01:30:36.2841152Z [2022-11-23 01:27:37,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1231 2022-11-23T01:30:36.2841376Z [2022-11-23 01:27:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2841792Z [2022-11-23 01:27:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable()] 2022-11-23T01:30:36.2842122Z [2022-11-23 01:27:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2842475Z [2022-11-23 01:27:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2842862Z [2022-11-23 01:27:37,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2843215Z [2022-11-23 01:27:37,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2843641Z [2022-11-23 01:27:37,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2843886Z [2022-11-23 01:27:37,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.2844285Z [2022-11-23 01:27:37,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2844638Z [2022-11-23 01:27:37,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2845123Z [2022-11-23 01:27:37,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2845553Z [2022-11-23 01:27:37,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2845830Z [2022-11-23 01:27:37,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2846260Z [2022-11-23 01:27:37,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2846640Z [2022-11-23 01:27:37,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2847047Z [2022-11-23 01:27:37,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2847505Z [2022-11-23 01:27:37,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2847802Z [2022-11-23 01:27:37,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2848050Z [2022-11-23 01:27:37,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2848429Z [2022-11-23 01:27:37,274] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2848676Z [2022-11-23 01:27:37,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2848913Z [2022-11-23 01:27:37,274] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2849223Z [2022-11-23 01:27:37,275] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2849463Z [2022-11-23 01:27:37,284] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2849653Z [2022-11-23 01:27:37,284] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2849788Z __compiled_fn_372 .3046 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2849879Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2849966Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.2850146Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.2850386Z call_function, softmax, , (add, -1), {} 2022-11-23T01:30:36.2850664Z call_function, softmax_1, , (ex_0_, 0), {} 2022-11-23T01:30:36.2850886Z call_function, softmax_2, , (ex_1_, 1), {} 2022-11-23T01:30:36.2851012Z output, output, output, ((softmax, softmax_1, softmax_2),), {} 2022-11-23T01:30:36.2851017Z 2022-11-23T01:30:36.2851344Z [2022-11-23 01:27:37,284] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2851442Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2851573Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2851697Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2851827Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2851951Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2852057Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2852140Z 12 RETURN_VALUE 2022-11-23T01:30:36.2852145Z 2022-11-23T01:30:36.2852206Z 2022-11-23T01:30:36.2852534Z [2022-11-23 01:27:37,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2852641Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_372) 2022-11-23T01:30:36.2852730Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2852818Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2852893Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2852969Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2853057Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2853131Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.2853219Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.2853320Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2853422Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2853508Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2853570Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2853670Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2853757Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2853830Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.2853927Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2854014Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:36.2854088Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.2854163Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.2854236Z 38 RETURN_VALUE 2022-11-23T01:30:36.2854241Z 2022-11-23T01:30:36.2854300Z 2022-11-23T01:30:36.2854482Z [2022-11-23 01:27:37,285] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2854554Z - 2022-11-23T01:30:36.2854671Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2854736Z { 2022-11-23T01:30:36.2854863Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2855088Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.2855209Z 'obj_weakref': None 2022-11-23T01:30:36.2855436Z 'guarded_class': 2022-11-23T01:30:36.2855499Z } 2022-11-23T01:30:36.2855563Z 2022-11-23T01:30:36.2855630Z - 2022-11-23T01:30:36.2855740Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2855803Z { 2022-11-23T01:30:36.2855946Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2856051Z 'code': None, 2022-11-23T01:30:36.2856265Z 'obj_weakref': 2022-11-23T01:30:36.2856514Z 'guarded_class': 2022-11-23T01:30:36.2856630Z } 2022-11-23T01:30:36.2856681Z 2022-11-23T01:30:36.2856750Z - 2022-11-23T01:30:36.2856873Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.2856936Z { 2022-11-23T01:30:36.2857078Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2857183Z 'code': None, 2022-11-23T01:30:36.2857392Z 'obj_weakref': 2022-11-23T01:30:36.2857629Z 'guarded_class': 2022-11-23T01:30:36.2857692Z } 2022-11-23T01:30:36.2857755Z 2022-11-23T01:30:36.2857823Z - 2022-11-23T01:30:36.2857952Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2858014Z { 2022-11-23T01:30:36.2858148Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2858304Z 'code': ['___check_obj_id(model, 140534620798208)'], 2022-11-23T01:30:36.2858424Z 'obj_weakref': None 2022-11-23T01:30:36.2858656Z 'guarded_class': 2022-11-23T01:30:36.2858720Z } 2022-11-23T01:30:36.2858783Z 2022-11-23T01:30:36.2858851Z - 2022-11-23T01:30:36.2858973Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2859023Z { 2022-11-23T01:30:36.2859158Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2859372Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2859489Z 'obj_weakref': None 2022-11-23T01:30:36.2859709Z 'guarded_class': 2022-11-23T01:30:36.2859771Z } 2022-11-23T01:30:36.2859832Z 2022-11-23T01:30:36.2859887Z - 2022-11-23T01:30:36.2860019Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2860084Z { 2022-11-23T01:30:36.2860201Z 'guard_types': None, 2022-11-23T01:30:36.2860305Z 'code': None, 2022-11-23T01:30:36.2860422Z 'obj_weakref': None 2022-11-23T01:30:36.2860541Z 'guarded_class': None 2022-11-23T01:30:36.2860592Z } 2022-11-23T01:30:36.2860654Z 2022-11-23T01:30:36.2860914Z [2022-11-23 01:27:37,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364 2022-11-23T01:30:36.2860920Z 2022-11-23T01:30:36.2861013Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2861082Z import torch 2022-11-23T01:30:36.2861152Z import random 2022-11-23T01:30:36.2861266Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2861375Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2861380Z 2022-11-23T01:30:36.2861460Z aten = torch.ops.aten 2022-11-23T01:30:36.2861593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2861686Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2861691Z 2022-11-23T01:30:36.2861696Z 2022-11-23T01:30:36.2861859Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2862065Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2862180Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.2862280Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:36.2862367Z float* __restrict__ in_out_ptr2, 2022-11-23T01:30:36.2862471Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2862573Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.2862670Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2862765Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.2862864Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.2862984Z float* __restrict__ out_ptr6, 2022-11-23T01:30:36.2863074Z float* __restrict__ out_ptr7, 2022-11-23T01:30:36.2863155Z float* __restrict__ out_ptr8) 2022-11-23T01:30:36.2863216Z { 2022-11-23T01:30:36.2863302Z auto out_ptr3 = in_out_ptr0; 2022-11-23T01:30:36.2863384Z auto out_ptr4 = in_out_ptr1; 2022-11-23T01:30:36.2863465Z auto out_ptr5 = in_out_ptr2; 2022-11-23T01:30:36.2863561Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2863610Z { 2022-11-23T01:30:36.2863707Z #pragma omp for 2022-11-23T01:30:36.2863787Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2863850Z { 2022-11-23T01:30:36.2863913Z { 2022-11-23T01:30:36.2864306Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:36.2864544Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.2864664Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.2864857Z float tmp4 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.2864976Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:30:36.2865066Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.2865131Z { 2022-11-23T01:30:36.2865272Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2865409Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2865500Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2865614Z tmp3_vec = at::vec::maximum(tmp3_vec, tmp2); 2022-11-23T01:30:36.2865727Z tmp4_vec = at::vec::maximum(tmp4_vec, tmp1); 2022-11-23T01:30:36.2865779Z } 2022-11-23T01:30:36.2865994Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp3_vec); 2022-11-23T01:30:36.2866199Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp4_vec); 2022-11-23T01:30:36.2866343Z #pragma omp simd simdlen(4) reduction(max:tmp3) reduction(max:tmp4) 2022-11-23T01:30:36.2866432Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.2866495Z { 2022-11-23T01:30:36.2866593Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.2866686Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:36.2866766Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2866863Z tmp3 = std::max(tmp3, tmp2); 2022-11-23T01:30:36.2866960Z tmp4 = std::max(tmp4, tmp1); 2022-11-23T01:30:36.2867028Z } 2022-11-23T01:30:36.2867110Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.2867188Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.2867287Z } 2022-11-23T01:30:36.2867340Z } 2022-11-23T01:30:36.2867417Z #pragma omp for 2022-11-23T01:30:36.2867496Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2867557Z { 2022-11-23T01:30:36.2867619Z { 2022-11-23T01:30:36.2867681Z { 2022-11-23T01:30:36.2867893Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.2867971Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.2868038Z { 2022-11-23T01:30:36.2868105Z { 2022-11-23T01:30:36.2868206Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:36.2868309Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:30:36.2868376Z } 2022-11-23T01:30:36.2868477Z } 2022-11-23T01:30:36.2868547Z out_ptr2[i0] = tmp1; 2022-11-23T01:30:36.2868612Z } 2022-11-23T01:30:36.2868677Z } 2022-11-23T01:30:36.2868738Z } 2022-11-23T01:30:36.2868814Z #pragma omp for 2022-11-23T01:30:36.2868893Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2868954Z { 2022-11-23T01:30:36.2869005Z { 2022-11-23T01:30:36.2869193Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.2869272Z float tmp12 = 0; 2022-11-23T01:30:36.2869395Z auto tmp12_vec = at::vec::Vectorized(tmp12); 2022-11-23T01:30:36.2869482Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.2869546Z { 2022-11-23T01:30:36.2869684Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2869824Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2869936Z auto tmp3 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:36.2870074Z auto tmp6 = at::vec::Vectorized::loadu(out_ptr2 + 8*i1); 2022-11-23T01:30:36.2870199Z auto tmp9 = at::vec::Vectorized(out_ptr1[i0]); 2022-11-23T01:30:36.2870290Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2870424Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:36.2870514Z auto tmp5 = tmp4.exp(); 2022-11-23T01:30:36.2870649Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:30:36.2870737Z auto tmp8 = tmp7.exp(); 2022-11-23T01:30:36.2870859Z auto tmp10 = tmp1 - tmp9; 2022-11-23T01:30:36.2870948Z auto tmp11 = tmp10.exp(); 2022-11-23T01:30:36.2871053Z tmp5.store(out_ptr3 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2871161Z tmp8.store(out_ptr4 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2871266Z tmp11.store(out_ptr5 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2871351Z tmp12_vec += tmp5; 2022-11-23T01:30:36.2871415Z } 2022-11-23T01:30:36.2871600Z tmp12 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp12_vec); 2022-11-23T01:30:36.2871719Z #pragma omp simd simdlen(4) reduction(+:tmp12) 2022-11-23T01:30:36.2871805Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.2871873Z { 2022-11-23T01:30:36.2871973Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.2872067Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:36.2872158Z auto tmp3 = out_ptr0[i0]; 2022-11-23T01:30:36.2872249Z auto tmp6 = out_ptr2[i1]; 2022-11-23T01:30:36.2872328Z auto tmp9 = out_ptr1[i0]; 2022-11-23T01:30:36.2872416Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.2872548Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:30:36.2872674Z auto tmp5 = std::exp(tmp4); 2022-11-23T01:30:36.2872809Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:30:36.2872904Z auto tmp8 = std::exp(tmp7); 2022-11-23T01:30:36.2873038Z auto tmp10 = tmp1 - tmp9; 2022-11-23T01:30:36.2873124Z auto tmp11 = std::exp(tmp10); 2022-11-23T01:30:36.2873215Z out_ptr3[i1 + (8*i0)] = tmp5; 2022-11-23T01:30:36.2873304Z out_ptr4[i1 + (8*i0)] = tmp8; 2022-11-23T01:30:36.2873395Z out_ptr5[i1 + (8*i0)] = tmp11; 2022-11-23T01:30:36.2873473Z tmp12 += tmp5; 2022-11-23T01:30:36.2873537Z } 2022-11-23T01:30:36.2873620Z out_ptr6[i0] = tmp12; 2022-11-23T01:30:36.2873701Z } 2022-11-23T01:30:36.2873766Z } 2022-11-23T01:30:36.2873842Z #pragma omp for 2022-11-23T01:30:36.2873927Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2873994Z { 2022-11-23T01:30:36.2874057Z { 2022-11-23T01:30:36.2874120Z { 2022-11-23T01:30:36.2874187Z float tmp1 = 0; 2022-11-23T01:30:36.2874275Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.2874342Z { 2022-11-23T01:30:36.2874414Z { 2022-11-23T01:30:36.2874518Z auto tmp0 = out_ptr4[i0 + (8*i1)]; 2022-11-23T01:30:36.2874600Z tmp1 += tmp0; 2022-11-23T01:30:36.2874668Z } 2022-11-23T01:30:36.2874721Z } 2022-11-23T01:30:36.2874805Z out_ptr7[i0] = tmp1; 2022-11-23T01:30:36.2874870Z } 2022-11-23T01:30:36.2874939Z } 2022-11-23T01:30:36.2875000Z } 2022-11-23T01:30:36.2875079Z #pragma omp for 2022-11-23T01:30:36.2875147Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2875211Z { 2022-11-23T01:30:36.2875277Z { 2022-11-23T01:30:36.2875470Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.2875549Z float tmp1 = 0; 2022-11-23T01:30:36.2875670Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.2875758Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.2875822Z { 2022-11-23T01:30:36.2875950Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr5 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2876033Z tmp1_vec += tmp0; 2022-11-23T01:30:36.2876097Z } 2022-11-23T01:30:36.2876294Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.2876415Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.2876503Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.2876570Z { 2022-11-23T01:30:36.2876657Z auto tmp0 = out_ptr5[i1 + (8*i0)]; 2022-11-23T01:30:36.2876733Z tmp1 += tmp0; 2022-11-23T01:30:36.2876797Z } 2022-11-23T01:30:36.2876879Z out_ptr8[i0] = tmp1; 2022-11-23T01:30:36.2876946Z } 2022-11-23T01:30:36.2877008Z } 2022-11-23T01:30:36.2877083Z #pragma omp for 2022-11-23T01:30:36.2877150Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2877212Z { 2022-11-23T01:30:36.2877293Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.2877357Z { 2022-11-23T01:30:36.2877498Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr3 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2877622Z auto tmp1 = at::vec::Vectorized(out_ptr6[i0]); 2022-11-23T01:30:36.2877711Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2877817Z tmp2.store(in_out_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2877896Z } 2022-11-23T01:30:36.2877991Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.2878073Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.2878136Z { 2022-11-23T01:30:36.2878232Z auto tmp0 = out_ptr3[i1 + (8*i0)]; 2022-11-23T01:30:36.2878320Z auto tmp1 = out_ptr6[i0]; 2022-11-23T01:30:36.2878393Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2878486Z in_out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:30:36.2878548Z } 2022-11-23T01:30:36.2878610Z } 2022-11-23T01:30:36.2878686Z #pragma omp for 2022-11-23T01:30:36.2878766Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2878828Z { 2022-11-23T01:30:36.2878896Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.2878990Z { 2022-11-23T01:30:36.2879128Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr4 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2879264Z auto tmp1 = at::vec::Vectorized::loadu(out_ptr7 + 8*i1); 2022-11-23T01:30:36.2879353Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2879458Z tmp2.store(in_out_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2879521Z } 2022-11-23T01:30:36.2879614Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.2879683Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.2879746Z { 2022-11-23T01:30:36.2879842Z auto tmp0 = out_ptr4[i1 + (8*i0)]; 2022-11-23T01:30:36.2879930Z auto tmp1 = out_ptr7[i1]; 2022-11-23T01:30:36.2880104Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2880200Z in_out_ptr1[i1 + (8*i0)] = tmp2; 2022-11-23T01:30:36.2880263Z } 2022-11-23T01:30:36.2880314Z } 2022-11-23T01:30:36.2880390Z #pragma omp for 2022-11-23T01:30:36.2880470Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.2880528Z { 2022-11-23T01:30:36.2885117Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.2885201Z { 2022-11-23T01:30:36.2885360Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr5 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2885489Z auto tmp1 = at::vec::Vectorized(out_ptr8[i0]); 2022-11-23T01:30:36.2885579Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2885688Z tmp2.store(in_out_ptr2 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.2885740Z } 2022-11-23T01:30:36.2885835Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.2885920Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.2885985Z { 2022-11-23T01:30:36.2886082Z auto tmp0 = out_ptr5[i1 + (8*i0)]; 2022-11-23T01:30:36.2886170Z auto tmp1 = out_ptr8[i0]; 2022-11-23T01:30:36.2886260Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2886342Z in_out_ptr2[i1 + (8*i0)] = tmp2; 2022-11-23T01:30:36.2886405Z } 2022-11-23T01:30:36.2886471Z } 2022-11-23T01:30:36.2886535Z } 2022-11-23T01:30:36.2886599Z } 2022-11-23T01:30:36.2886708Z ''') 2022-11-23T01:30:36.2886715Z 2022-11-23T01:30:36.2886719Z 2022-11-23T01:30:36.2886813Z async_compile.wait(globals()) 2022-11-23T01:30:36.2886874Z del async_compile 2022-11-23T01:30:36.2886878Z 2022-11-23T01:30:36.2886949Z def call(args): 2022-11-23T01:30:36.2887025Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.2887098Z args.clear() 2022-11-23T01:30:36.2887302Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2887496Z buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2887685Z buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2887864Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2888047Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2888327Z buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2888514Z buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2888698Z buf5 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2888881Z buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2888968Z buf9 = buf1; del buf1 # reuse 2022-11-23T01:30:36.2889053Z buf10 = buf4; del buf4 # reuse 2022-11-23T01:30:36.2889123Z buf11 = buf7; del buf7 # reuse 2022-11-23T01:30:36.2889480Z kernel_cpp_0(c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:30:36.2889620Z del arg0_1 2022-11-23T01:30:36.2889689Z del arg1_1 2022-11-23T01:30:36.2889775Z return (buf9, buf10, buf11, ) 2022-11-23T01:30:36.2889780Z 2022-11-23T01:30:36.2889784Z 2022-11-23T01:30:36.2889860Z if __name__ == "__main__": 2022-11-23T01:30:36.2889980Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2890104Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2890290Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2890483Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2890600Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.2890976Z [2022-11-23 01:27:38,934] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3q/c3qee4fx2znpy3vcfw6pixbj2xxmpjuv6oravdjvkodw3zn7mqbf.py 2022-11-23T01:30:36.2891245Z [2022-11-23 01:27:38,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364 2022-11-23T01:30:36.2891251Z 2022-11-23T01:30:36.2891323Z ok (1.677s) 2022-11-23T01:30:36.2891645Z test_softmax_one_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2891960Z [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2892177Z [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2892415Z [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2892695Z [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2893019Z [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2893367Z [2022-11-23 01:27:38,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2893691Z [2022-11-23 01:27:38,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2894068Z [2022-11-23 01:27:38,942] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2894160Z 2346 0 LOAD_CONST 1 (1) 2022-11-23T01:30:36.2894254Z 2 STORE_FAST 1 (dim) 2022-11-23T01:30:36.2894259Z 2022-11-23T01:30:36.2894357Z 2347 4 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2894453Z 6 LOAD_ATTR 1 (amax) 2022-11-23T01:30:36.2894529Z 8 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2894646Z 10 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.2894742Z 12 LOAD_CONST 2 (True) 2022-11-23T01:30:36.2894894Z 14 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:30:36.2894986Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.2895077Z 18 STORE_FAST 2 (x_max) 2022-11-23T01:30:36.2895081Z 2022-11-23T01:30:36.2895171Z 2348 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2895264Z 22 LOAD_METHOD 2 (exp) 2022-11-23T01:30:36.2895341Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:36.2895431Z 26 LOAD_FAST 2 (x_max) 2022-11-23T01:30:36.2895513Z 28 BINARY_MULTIPLY 2022-11-23T01:30:36.2895602Z 30 CALL_METHOD 1 2022-11-23T01:30:36.2895737Z 32 STORE_FAST 3 (unnormalized) 2022-11-23T01:30:36.2895741Z 2022-11-23T01:30:36.2895845Z 2349 34 LOAD_FAST 3 (unnormalized) 2022-11-23T01:30:36.2895937Z 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2896012Z 38 LOAD_ATTR 3 (sum) 2022-11-23T01:30:36.2896113Z 40 LOAD_FAST 3 (unnormalized) 2022-11-23T01:30:36.2896201Z 42 LOAD_FAST 1 (dim) 2022-11-23T01:30:36.2896295Z 44 LOAD_CONST 2 (True) 2022-11-23T01:30:36.2896445Z 46 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:30:36.2896537Z 48 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.2896620Z 50 BINARY_TRUE_DIVIDE 2022-11-23T01:30:36.2896702Z 52 STORE_FAST 4 (result) 2022-11-23T01:30:36.2896720Z 2022-11-23T01:30:36.2896797Z 2350 54 LOAD_FAST 4 (result) 2022-11-23T01:30:36.2896875Z 56 RETURN_VALUE 2022-11-23T01:30:36.2896936Z 2022-11-23T01:30:36.2896941Z 2022-11-23T01:30:36.2897262Z [2022-11-23 01:27:38,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2346 2022-11-23T01:30:36.2897474Z [2022-11-23 01:27:38,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [] 2022-11-23T01:30:36.2897727Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)] 2022-11-23T01:30:36.2898041Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2347 2022-11-23T01:30:36.2898259Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2898608Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable()] 2022-11-23T01:30:36.2898934Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.2899286Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2899676Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2900118Z [2022-11-23 01:27:38,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.2900625Z [2022-11-23 01:27:38,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.2900878Z [2022-11-23 01:27:38,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()] 2022-11-23T01:30:36.2901192Z [2022-11-23 01:27:38,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2348 2022-11-23T01:30:36.2901410Z [2022-11-23 01:27:38,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2901775Z [2022-11-23 01:27:38,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable()] 2022-11-23T01:30:36.2902094Z [2022-11-23 01:27:38,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.2902487Z [2022-11-23 01:27:38,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2902885Z [2022-11-23 01:27:38,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2903218Z [2022-11-23 01:27:38,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2903475Z [2022-11-23 01:27:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()] 2022-11-23T01:30:36.2903790Z [2022-11-23 01:27:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2349 2022-11-23T01:30:36.2904023Z [2022-11-23 01:27:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [] 2022-11-23T01:30:36.2904270Z [2022-11-23 01:27:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.2904661Z [2022-11-23 01:27:38,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2905026Z [2022-11-23 01:27:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.2905397Z [2022-11-23 01:27:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2905815Z [2022-11-23 01:27:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2906292Z [2022-11-23 01:27:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.2906795Z [2022-11-23 01:27:38,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.2907079Z [2022-11-23 01:27:38,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2907326Z [2022-11-23 01:27:38,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()] 2022-11-23T01:30:36.2907625Z [2022-11-23 01:27:38,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2350 2022-11-23T01:30:36.2907869Z [2022-11-23 01:27:38,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result [] 2022-11-23T01:30:36.2908117Z [2022-11-23 01:27:38,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2908499Z [2022-11-23 01:27:38,951] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2908745Z [2022-11-23 01:27:38,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.2908977Z [2022-11-23 01:27:38,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2909231Z [2022-11-23 01:27:38,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2909513Z [2022-11-23 01:27:38,960] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2909703Z [2022-11-23 01:27:38,960] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2909838Z __compiled_fn_373 .3052 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2909915Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2910165Z call_function, amax, , (ex_0_, 1), {'keepdim': True} 2022-11-23T01:30:36.2910339Z call_function, mul, , (ex_0_, amax), {} 2022-11-23T01:30:36.2910560Z call_function, exp, , (mul,), {} 2022-11-23T01:30:36.2910808Z call_function, sum_1, , (exp, 1), {'keepdim': True} 2022-11-23T01:30:36.2910998Z call_function, truediv, , (exp, sum_1), {} 2022-11-23T01:30:36.2911102Z output, output, output, ((truediv,),), {} 2022-11-23T01:30:36.2911108Z 2022-11-23T01:30:36.2911436Z [2022-11-23 01:27:38,961] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2911518Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2911607Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2911694Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2911786Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2911871Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2911959Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2912033Z 12 RETURN_VALUE 2022-11-23T01:30:36.2912038Z 2022-11-23T01:30:36.2912086Z 2022-11-23T01:30:36.2912410Z [2022-11-23 01:27:38,961] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2912523Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_373) 2022-11-23T01:30:36.2912614Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2912705Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2912782Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2912868Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2912959Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.2913020Z 12 RETURN_VALUE 2022-11-23T01:30:36.2913025Z 2022-11-23T01:30:36.2913087Z 2022-11-23T01:30:36.2913270Z [2022-11-23 01:27:38,962] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2913341Z - 2022-11-23T01:30:36.2913463Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2913528Z { 2022-11-23T01:30:36.2913670Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2913842Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2913963Z 'obj_weakref': None 2022-11-23T01:30:36.2914217Z 'guarded_class': 2022-11-23T01:30:36.2914284Z } 2022-11-23T01:30:36.2914349Z 2022-11-23T01:30:36.2914419Z - 2022-11-23T01:30:36.2914544Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2914593Z { 2022-11-23T01:30:36.2914735Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2914842Z 'code': None, 2022-11-23T01:30:36.2915055Z 'obj_weakref': 2022-11-23T01:30:36.2915311Z 'guarded_class': 2022-11-23T01:30:36.2915376Z } 2022-11-23T01:30:36.2915440Z 2022-11-23T01:30:36.2915495Z - 2022-11-23T01:30:36.2915627Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2915718Z { 2022-11-23T01:30:36.2915854Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2916025Z 'code': ['___check_obj_id(model, 140534620798208)'], 2022-11-23T01:30:36.2916144Z 'obj_weakref': None 2022-11-23T01:30:36.2916375Z 'guarded_class': 2022-11-23T01:30:36.2916426Z } 2022-11-23T01:30:36.2916490Z 2022-11-23T01:30:36.2916561Z - 2022-11-23T01:30:36.2916683Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2916746Z { 2022-11-23T01:30:36.2916881Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2917096Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2917202Z 'obj_weakref': None 2022-11-23T01:30:36.2917422Z 'guarded_class': 2022-11-23T01:30:36.2917488Z } 2022-11-23T01:30:36.2917550Z 2022-11-23T01:30:36.2917618Z - 2022-11-23T01:30:36.2917751Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2917817Z { 2022-11-23T01:30:36.2917923Z 'guard_types': None, 2022-11-23T01:30:36.2918029Z 'code': None, 2022-11-23T01:30:36.2918147Z 'obj_weakref': None 2022-11-23T01:30:36.2918267Z 'guarded_class': None 2022-11-23T01:30:36.2918331Z } 2022-11-23T01:30:36.2918393Z 2022-11-23T01:30:36.2918654Z [2022-11-23 01:27:38,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365 2022-11-23T01:30:36.2919012Z [2022-11-23 01:27:40,465] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebsnyu6dvysaajri7hgzgvmp4rlhw6tkky6vdvq44cf7xsemkpy.py 2022-11-23T01:30:36.2919278Z [2022-11-23 01:27:40,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365 2022-11-23T01:30:36.2919286Z 2022-11-23T01:30:36.2919380Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2919449Z import torch 2022-11-23T01:30:36.2919520Z import random 2022-11-23T01:30:36.2919634Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2919755Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2919760Z 2022-11-23T01:30:36.2919837Z aten = torch.ops.aten 2022-11-23T01:30:36.2919957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2920156Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2920162Z 2022-11-23T01:30:36.2920166Z 2022-11-23T01:30:36.2920306Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.2920513Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.2920631Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.2920737Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.2920840Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.2920938Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.2920986Z { 2022-11-23T01:30:36.2921115Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.2921214Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.2921276Z { 2022-11-23T01:30:36.2921353Z #pragma omp for 2022-11-23T01:30:36.2921435Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.2921498Z { 2022-11-23T01:30:36.2921549Z { 2022-11-23T01:30:36.2921929Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:30:36.2922157Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.2922280Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.2922370Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.2922467Z { 2022-11-23T01:30:36.2922615Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.2922733Z tmp1_vec = at::vec::maximum(tmp1_vec, tmp0); 2022-11-23T01:30:36.2922785Z } 2022-11-23T01:30:36.2922993Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp1_vec); 2022-11-23T01:30:36.2923112Z #pragma omp simd simdlen(4) reduction(max:tmp1) 2022-11-23T01:30:36.2923201Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:36.2923266Z { 2022-11-23T01:30:36.2923366Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:36.2923465Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:30:36.2923531Z } 2022-11-23T01:30:36.2923601Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.2923669Z } 2022-11-23T01:30:36.2923734Z } 2022-11-23T01:30:36.2923812Z #pragma omp for 2022-11-23T01:30:36.2923893Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.2923959Z { 2022-11-23T01:30:36.2924010Z { 2022-11-23T01:30:36.2924196Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.2924276Z float tmp4 = 0; 2022-11-23T01:30:36.2924395Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:30:36.2924486Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.2924550Z { 2022-11-23T01:30:36.2924692Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.2924926Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:36.2925022Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.2925104Z auto tmp3 = tmp2.exp(); 2022-11-23T01:30:36.2925211Z tmp3.store(out_ptr1 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.2925297Z tmp4_vec += tmp3; 2022-11-23T01:30:36.2925363Z } 2022-11-23T01:30:36.2925558Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:30:36.2925678Z #pragma omp simd simdlen(4) reduction(+:tmp4) 2022-11-23T01:30:36.2925769Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:36.2925820Z { 2022-11-23T01:30:36.2925920Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:36.2926013Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:30:36.2926103Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.2926201Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:30:36.2926294Z out_ptr1[i1 + (32*i0)] = tmp3; 2022-11-23T01:30:36.2926375Z tmp4 += tmp3; 2022-11-23T01:30:36.2926425Z } 2022-11-23T01:30:36.2926508Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:36.2926619Z } 2022-11-23T01:30:36.2926685Z } 2022-11-23T01:30:36.2926763Z #pragma omp for 2022-11-23T01:30:36.2926846Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.2926910Z { 2022-11-23T01:30:36.2926980Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.2927046Z { 2022-11-23T01:30:36.2927187Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.2927313Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:30:36.2927403Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2927511Z tmp2.store(in_out_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.2927575Z } 2022-11-23T01:30:36.2927667Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.2927777Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:30:36.2927844Z { 2022-11-23T01:30:36.2927945Z auto tmp0 = out_ptr1[i1 + (32*i0)]; 2022-11-23T01:30:36.2928033Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:30:36.2928120Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.2928214Z in_out_ptr0[i1 + (32*i0)] = tmp2; 2022-11-23T01:30:36.2928264Z } 2022-11-23T01:30:36.2928326Z } 2022-11-23T01:30:36.2928387Z } 2022-11-23T01:30:36.2928448Z } 2022-11-23T01:30:36.2928529Z ''') 2022-11-23T01:30:36.2928534Z 2022-11-23T01:30:36.2928538Z 2022-11-23T01:30:36.2928627Z async_compile.wait(globals()) 2022-11-23T01:30:36.2928699Z del async_compile 2022-11-23T01:30:36.2928704Z 2022-11-23T01:30:36.2928774Z def call(args): 2022-11-23T01:30:36.2928829Z arg0_1, = args 2022-11-23T01:30:36.2928900Z args.clear() 2022-11-23T01:30:36.2929099Z buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2929300Z buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2929497Z buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2929583Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:30:36.2929771Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.2929826Z del arg0_1 2022-11-23T01:30:36.2929896Z return (buf3, ) 2022-11-23T01:30:36.2929901Z 2022-11-23T01:30:36.2929906Z 2022-11-23T01:30:36.2929981Z if __name__ == "__main__": 2022-11-23T01:30:36.2930093Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2930217Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2930413Z arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2930521Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2930530Z 2022-11-23T01:30:36.2930595Z ok (1.530s) 2022-11-23T01:30:36.2930884Z test_sort_cpu (__main__.CpuTests) ... [2022-11-23 01:27:40,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2931201Z [2022-11-23 01:27:40,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2931419Z [2022-11-23 01:27:40,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2931673Z [2022-11-23 01:27:40,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2931950Z [2022-11-23 01:27:40,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2932268Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2932613Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2932965Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2933342Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2933439Z 3092 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2933519Z 2 LOAD_METHOD 1 (sort) 2022-11-23T01:30:36.2933608Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2933696Z 6 CALL_METHOD 1 2022-11-23T01:30:36.2933774Z 8 RETURN_VALUE 2022-11-23T01:30:36.2933837Z 2022-11-23T01:30:36.2933870Z 2022-11-23T01:30:36.2934182Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3092 2022-11-23T01:30:36.2934403Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2934768Z [2022-11-23 01:27:40,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable()] 2022-11-23T01:30:36.2935085Z [2022-11-23 01:27:40,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2935423Z [2022-11-23 01:27:40,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2935677Z [2022-11-23 01:27:40,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:30:36.2936060Z [2022-11-23 01:27:40,472] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2936316Z [2022-11-23 01:27:40,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:30:36.2936549Z [2022-11-23 01:27:40,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2936803Z [2022-11-23 01:27:40,473] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2937051Z [2022-11-23 01:27:40,476] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2937237Z [2022-11-23 01:27:40,476] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2937371Z __compiled_fn_374 .3058 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2937450Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2937673Z call_function, sort, , (ex_0_,), {} 2022-11-23T01:30:36.2937860Z call_function, getitem, , (sort, 0), {} 2022-11-23T01:30:36.2938047Z call_function, getitem_1, , (sort, 1), {} 2022-11-23T01:30:36.2938163Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.2938167Z 2022-11-23T01:30:36.2938492Z [2022-11-23 01:27:40,477] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2938585Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2938675Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2938761Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2938842Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2938931Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2939019Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2939096Z 12 RETURN_VALUE 2022-11-23T01:30:36.2939101Z 2022-11-23T01:30:36.2939189Z 2022-11-23T01:30:36.2939516Z [2022-11-23 01:27:40,477] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2939623Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_374) 2022-11-23T01:30:36.2939700Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2939790Z 4 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2939866Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2939954Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2940058Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2940246Z 12 LOAD_CONST 1 () 2022-11-23T01:30:36.2940350Z 14 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2940467Z 16 LOAD_CONST 2 (0) 2022-11-23T01:30:36.2940530Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.2940631Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2940719Z 22 LOAD_CONST 3 (1) 2022-11-23T01:30:36.2940795Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.2940883Z 26 BUILD_TUPLE 2 2022-11-23T01:30:36.2940971Z 28 CALL_FUNCTION 1 2022-11-23T01:30:36.2941045Z 30 RETURN_VALUE 2022-11-23T01:30:36.2941050Z 2022-11-23T01:30:36.2941097Z 2022-11-23T01:30:36.2941277Z [2022-11-23 01:27:40,477] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2941347Z - 2022-11-23T01:30:36.2941466Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2941531Z { 2022-11-23T01:30:36.2941671Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2941860Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2941965Z 'obj_weakref': None 2022-11-23T01:30:36.2942191Z 'guarded_class': 2022-11-23T01:30:36.2942256Z } 2022-11-23T01:30:36.2942320Z 2022-11-23T01:30:36.2942388Z - 2022-11-23T01:30:36.2942511Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2942575Z { 2022-11-23T01:30:36.2942703Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2942808Z 'code': None, 2022-11-23T01:30:36.2943020Z 'obj_weakref': 2022-11-23T01:30:36.2943270Z 'guarded_class': 2022-11-23T01:30:36.2943336Z } 2022-11-23T01:30:36.2943401Z 2022-11-23T01:30:36.2943469Z - 2022-11-23T01:30:36.2943588Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2943653Z { 2022-11-23T01:30:36.2943789Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2943960Z 'code': ['___check_obj_id(model, 140534620793744)'], 2022-11-23T01:30:36.2944078Z 'obj_weakref': None 2022-11-23T01:30:36.2944308Z 'guarded_class': 2022-11-23T01:30:36.2944372Z } 2022-11-23T01:30:36.2944422Z 2022-11-23T01:30:36.2944492Z - 2022-11-23T01:30:36.2944612Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2944677Z { 2022-11-23T01:30:36.2944812Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2945027Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2945145Z 'obj_weakref': None 2022-11-23T01:30:36.2945354Z 'guarded_class': 2022-11-23T01:30:36.2945420Z } 2022-11-23T01:30:36.2945484Z 2022-11-23T01:30:36.2945553Z - 2022-11-23T01:30:36.2945721Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2945787Z { 2022-11-23T01:30:36.2945906Z 'guard_types': None, 2022-11-23T01:30:36.2945999Z 'code': None, 2022-11-23T01:30:36.2946117Z 'obj_weakref': None 2022-11-23T01:30:36.2946238Z 'guarded_class': None 2022-11-23T01:30:36.2946304Z } 2022-11-23T01:30:36.2946370Z 2022-11-23T01:30:36.2946630Z [2022-11-23 01:27:40,482] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366 2022-11-23T01:30:36.2946844Z [2022-11-23 01:27:40,484] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort 2022-11-23T01:30:36.2947196Z [2022-11-23 01:27:40,486] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3ks4se5ezthwctf3vtmdt7dxxmawfqebkdpul4iz4f5xm5adfwe.py 2022-11-23T01:30:36.2947503Z [2022-11-23 01:27:40,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366 2022-11-23T01:30:36.2947509Z 2022-11-23T01:30:36.2947606Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.2947674Z import torch 2022-11-23T01:30:36.2947744Z import random 2022-11-23T01:30:36.2947859Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.2947980Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.2947985Z 2022-11-23T01:30:36.2948062Z aten = torch.ops.aten 2022-11-23T01:30:36.2948183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.2948275Z async_compile = AsyncCompile() 2022-11-23T01:30:36.2948280Z 2022-11-23T01:30:36.2948284Z 2022-11-23T01:30:36.2948371Z async_compile.wait(globals()) 2022-11-23T01:30:36.2948444Z del async_compile 2022-11-23T01:30:36.2948449Z 2022-11-23T01:30:36.2948519Z def call(args): 2022-11-23T01:30:36.2948592Z arg0_1, = args 2022-11-23T01:30:36.2948663Z args.clear() 2022-11-23T01:30:36.2948743Z buf0 = aten.sort(arg0_1) 2022-11-23T01:30:36.2948797Z del arg0_1 2022-11-23T01:30:36.2948868Z buf1 = buf0[0] 2022-11-23T01:30:36.2948973Z assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1)) 2022-11-23T01:30:36.2949043Z buf2 = buf0[1] 2022-11-23T01:30:36.2949148Z assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1)) 2022-11-23T01:30:36.2949214Z del buf0 2022-11-23T01:30:36.2949278Z return (buf1, buf2, ) 2022-11-23T01:30:36.2949295Z 2022-11-23T01:30:36.2949299Z 2022-11-23T01:30:36.2949361Z if __name__ == "__main__": 2022-11-23T01:30:36.2949474Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.2949596Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.2949811Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.2949922Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.2949929Z 2022-11-23T01:30:36.2949996Z ok (0.021s) 2022-11-23T01:30:36.2950298Z test_split_cpu (__main__.CpuTests) ... [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2950613Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2950818Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2951071Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2951349Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2951667Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2952045Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2952371Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2952745Z [2022-11-23 01:27:40,490] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2952843Z 1706 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2952938Z 2 LOAD_METHOD 1 (split) 2022-11-23T01:30:36.2953027Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2953105Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.2953242Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.2953371Z 10 CALL_METHOD 3 2022-11-23T01:30:36.2953461Z 12 STORE_FAST 1 (t) 2022-11-23T01:30:36.2953465Z 2022-11-23T01:30:36.2953556Z 1707 14 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2953643Z 16 LOAD_CONST 3 (0) 2022-11-23T01:30:36.2953720Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.2953793Z 20 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2953879Z 22 LOAD_CONST 4 (1) 2022-11-23T01:30:36.2953957Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.2954043Z 26 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2954130Z 28 LOAD_CONST 5 (2) 2022-11-23T01:30:36.2954207Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.2954294Z 32 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2954366Z 34 LOAD_CONST 1 (3) 2022-11-23T01:30:36.2954441Z 36 BINARY_SUBSCR 2022-11-23T01:30:36.2954533Z 38 BUILD_TUPLE 4 2022-11-23T01:30:36.2954609Z 40 RETURN_VALUE 2022-11-23T01:30:36.2954671Z 2022-11-23T01:30:36.2954676Z 2022-11-23T01:30:36.2954996Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706 2022-11-23T01:30:36.2955215Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2955583Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable()] 2022-11-23T01:30:36.2955859Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2956178Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2956536Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2956932Z [2022-11-23 01:27:40,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2957169Z [2022-11-23 01:27:40,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()] 2022-11-23T01:30:36.2957482Z [2022-11-23 01:27:40,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707 2022-11-23T01:30:36.2957689Z [2022-11-23 01:27:40,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [] 2022-11-23T01:30:36.2957924Z [2022-11-23 01:27:40,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:30:36.2958210Z [2022-11-23 01:27:40,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2958472Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()] 2022-11-23T01:30:36.2958740Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2959038Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2959302Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2959599Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2959935Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2960361Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2960683Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2961051Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2961376Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2961622Z [2022-11-23 01:27:40,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2962008Z [2022-11-23 01:27:40,496] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2962254Z [2022-11-23 01:27:40,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2962474Z [2022-11-23 01:27:40,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2962733Z [2022-11-23 01:27:40,498] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2962984Z [2022-11-23 01:27:40,502] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2963174Z [2022-11-23 01:27:40,503] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2963311Z __compiled_fn_375 .3064 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2963402Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2963612Z call_function, split, , (ex_0_, 3, -1), {} 2022-11-23T01:30:36.2963803Z call_function, getitem, , (split, 0), {} 2022-11-23T01:30:36.2963978Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:30:36.2964163Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:30:36.2964345Z call_function, getitem_3, , (split, 3), {} 2022-11-23T01:30:36.2964479Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:30:36.2964484Z 2022-11-23T01:30:36.2964979Z [2022-11-23 01:27:40,503] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2965074Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2965166Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2965258Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2965338Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2965424Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2965566Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2965646Z 12 RETURN_VALUE 2022-11-23T01:30:36.2965651Z 2022-11-23T01:30:36.2965713Z 2022-11-23T01:30:36.2966040Z [2022-11-23 01:27:40,503] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2966151Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_375) 2022-11-23T01:30:36.2966242Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2966318Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2966396Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2966484Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2966589Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2966728Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2966819Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2966898Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.2966985Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2967072Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2967147Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.2967246Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2967334Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.2967409Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.2967507Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2967581Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.2967656Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.2967743Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.2967818Z 38 RETURN_VALUE 2022-11-23T01:30:36.2967825Z 2022-11-23T01:30:36.2967886Z 2022-11-23T01:30:36.2968071Z [2022-11-23 01:27:40,504] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2968143Z - 2022-11-23T01:30:36.2968261Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2968313Z { 2022-11-23T01:30:36.2968452Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2968639Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2968758Z 'obj_weakref': None 2022-11-23T01:30:36.2968987Z 'guarded_class': 2022-11-23T01:30:36.2969052Z } 2022-11-23T01:30:36.2969115Z 2022-11-23T01:30:36.2969170Z - 2022-11-23T01:30:36.2969293Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2969358Z { 2022-11-23T01:30:36.2969501Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2969610Z 'code': None, 2022-11-23T01:30:36.2969822Z 'obj_weakref': 2022-11-23T01:30:36.2970076Z 'guarded_class': 2022-11-23T01:30:36.2970127Z } 2022-11-23T01:30:36.2970190Z 2022-11-23T01:30:36.2970260Z - 2022-11-23T01:30:36.2970388Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2970451Z { 2022-11-23T01:30:36.2970584Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2970751Z 'code': ['___check_obj_id(model, 140534432298128)'], 2022-11-23T01:30:36.2970856Z 'obj_weakref': None 2022-11-23T01:30:36.2971085Z 'guarded_class': 2022-11-23T01:30:36.2971150Z } 2022-11-23T01:30:36.2971214Z 2022-11-23T01:30:36.2971284Z - 2022-11-23T01:30:36.2971407Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2971457Z { 2022-11-23T01:30:36.2971593Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.2971840Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.2971961Z 'obj_weakref': None 2022-11-23T01:30:36.2972181Z 'guarded_class': 2022-11-23T01:30:36.2972246Z } 2022-11-23T01:30:36.2972310Z 2022-11-23T01:30:36.2972378Z - 2022-11-23T01:30:36.2972498Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.2972561Z { 2022-11-23T01:30:36.2972680Z 'guard_types': None, 2022-11-23T01:30:36.2972786Z 'code': None, 2022-11-23T01:30:36.2972903Z 'obj_weakref': None 2022-11-23T01:30:36.2973023Z 'guarded_class': None 2022-11-23T01:30:36.2973102Z } 2022-11-23T01:30:36.2973165Z 2022-11-23T01:30:36.2973428Z [2022-11-23 01:27:40,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367 2022-11-23T01:30:36.2973795Z [2022-11-23 01:27:40,513] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6c35spbl3r26i4haohomu7ikok6tym65y4ntemcmkuccbs3ifz6.py 2022-11-23T01:30:36.2974065Z [2022-11-23 01:27:40,513] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367 2022-11-23T01:30:36.2974301Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.2974613Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.2974831Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.2975084Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.2975352Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.2975671Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2976017Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2976339Z [2022-11-23 01:27:40,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.2976709Z [2022-11-23 01:27:40,517] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2976806Z 1710 0 LOAD_DEREF 0 (fn) 2022-11-23T01:30:36.2976898Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2977033Z 4 LOAD_CONST 1 (1) 2022-11-23T01:30:36.2977107Z 6 BINARY_ADD 2022-11-23T01:30:36.2977184Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2977261Z 10 RETURN_VALUE 2022-11-23T01:30:36.2977323Z 2022-11-23T01:30:36.2977328Z 2022-11-23T01:30:36.2977641Z [2022-11-23 01:27:40,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1710 2022-11-23T01:30:36.2977853Z [2022-11-23 01:27:40,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn [] 2022-11-23T01:30:36.2978102Z [2022-11-23 01:27:40,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()] 2022-11-23T01:30:36.2978379Z [2022-11-23 01:27:40,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:36.2978733Z [2022-11-23 01:27:40,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2979021Z [2022-11-23 01:27:40,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:30:36.2979380Z [2022-11-23 01:27:40,518] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.2979478Z 1706 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.2979572Z 2 LOAD_METHOD 1 (split) 2022-11-23T01:30:36.2979662Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.2979752Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.2979893Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.2980014Z 10 CALL_METHOD 3 2022-11-23T01:30:36.2980104Z 12 STORE_FAST 1 (t) 2022-11-23T01:30:36.2980109Z 2022-11-23T01:30:36.2980187Z 1707 14 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2980273Z 16 LOAD_CONST 3 (0) 2022-11-23T01:30:36.2980352Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.2980438Z 20 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2980524Z 22 LOAD_CONST 4 (1) 2022-11-23T01:30:36.2980601Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.2980686Z 26 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2980759Z 28 LOAD_CONST 5 (2) 2022-11-23T01:30:36.2980835Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.2980920Z 32 LOAD_FAST 1 (t) 2022-11-23T01:30:36.2981005Z 34 LOAD_CONST 1 (3) 2022-11-23T01:30:36.2981082Z 36 BINARY_SUBSCR 2022-11-23T01:30:36.2981174Z 38 BUILD_TUPLE 4 2022-11-23T01:30:36.2981249Z 40 RETURN_VALUE 2022-11-23T01:30:36.2981298Z 2022-11-23T01:30:36.2981302Z 2022-11-23T01:30:36.2981618Z [2022-11-23 01:27:40,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706 2022-11-23T01:30:36.2981839Z [2022-11-23 01:27:40,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.2982206Z [2022-11-23 01:27:40,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable()] 2022-11-23T01:30:36.2982499Z [2022-11-23 01:27:40,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.2982814Z [2022-11-23 01:27:40,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.2983173Z [2022-11-23 01:27:40,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2983570Z [2022-11-23 01:27:40,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.2983807Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()] 2022-11-23T01:30:36.2984119Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707 2022-11-23T01:30:36.2984325Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [] 2022-11-23T01:30:36.2984551Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:30:36.2984835Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2985097Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()] 2022-11-23T01:30:36.2985367Z [2022-11-23 01:27:40,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2985679Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2985942Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2986233Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2986574Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2986897Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2987214Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:30:36.2987564Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.2987888Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.2988134Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2988515Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2988756Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2989131Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.2989372Z [2022-11-23 01:27:40,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.2989604Z [2022-11-23 01:27:40,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.2989857Z [2022-11-23 01:27:40,525] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.2990106Z [2022-11-23 01:27:40,530] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.2990298Z [2022-11-23 01:27:40,530] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.2990422Z __compiled_fn_376 .3070 opcode, name, target, args, kwargs 2022-11-23T01:30:36.2990514Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.2990691Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.2990891Z call_function, split, , (add, 3, -1), {} 2022-11-23T01:30:36.2991079Z call_function, getitem, , (split, 0), {} 2022-11-23T01:30:36.2991266Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:30:36.2991444Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:30:36.2991631Z call_function, getitem_3, , (split, 3), {} 2022-11-23T01:30:36.2991766Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:30:36.2991775Z 2022-11-23T01:30:36.2992149Z [2022-11-23 01:27:40,530] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2992245Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2992335Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2992419Z 4 BUILD_MAP 0 2022-11-23T01:30:36.2992499Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.2992582Z 8 DICT_MERGE 1 2022-11-23T01:30:36.2992671Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.2992747Z 12 RETURN_VALUE 2022-11-23T01:30:36.2992752Z 2022-11-23T01:30:36.2992811Z 2022-11-23T01:30:36.2993130Z [2022-11-23 01:27:40,530] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.2993278Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_376) 2022-11-23T01:30:36.2993356Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.2993447Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2993523Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.2993610Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.2993712Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2993837Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.2993932Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.2994018Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.2994102Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.2994201Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2994290Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2994367Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.2994470Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2994556Z 28 LOAD_CONST 2 (1) 2022-11-23T01:30:36.2994633Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.2994721Z 32 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2994808Z 34 LOAD_CONST 3 (2) 2022-11-23T01:30:36.2994883Z 36 BINARY_SUBSCR 2022-11-23T01:30:36.2994983Z 38 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.2995068Z 40 LOAD_CONST 4 (3) 2022-11-23T01:30:36.2995144Z 42 BINARY_SUBSCR 2022-11-23T01:30:36.2995231Z 44 BUILD_TUPLE 4 2022-11-23T01:30:36.2995310Z 46 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2995406Z 48 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.2995493Z 50 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2995569Z 52 BINARY_SUBSCR 2022-11-23T01:30:36.2995669Z 54 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.2995759Z 56 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.2995856Z 58 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.2995929Z 60 LOAD_CONST 1 (0) 2022-11-23T01:30:36.2996004Z 62 BINARY_SUBSCR 2022-11-23T01:30:36.2996103Z 64 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.2996177Z 66 RETURN_VALUE 2022-11-23T01:30:36.2996182Z 2022-11-23T01:30:36.2996242Z 2022-11-23T01:30:36.2996423Z [2022-11-23 01:27:40,531] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.2996493Z - 2022-11-23T01:30:36.2996598Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.2996663Z { 2022-11-23T01:30:36.2996802Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.2996988Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.2997108Z 'obj_weakref': None 2022-11-23T01:30:36.2997358Z 'guarded_class': 2022-11-23T01:30:36.2997425Z } 2022-11-23T01:30:36.2997475Z 2022-11-23T01:30:36.2997543Z - 2022-11-23T01:30:36.2997674Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.2997737Z { 2022-11-23T01:30:36.2997880Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.2997983Z 'code': None, 2022-11-23T01:30:36.2998194Z 'obj_weakref': 2022-11-23T01:30:36.2998433Z 'guarded_class': 2022-11-23T01:30:36.2998498Z } 2022-11-23T01:30:36.2998561Z 2022-11-23T01:30:36.2998631Z - 2022-11-23T01:30:36.2998759Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.2998849Z { 2022-11-23T01:30:36.2998981Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.2999140Z 'code': ['___check_obj_id(model, 140534432290640)'], 2022-11-23T01:30:36.2999258Z 'obj_weakref': None 2022-11-23T01:30:36.2999488Z 'guarded_class': 2022-11-23T01:30:36.2999554Z } 2022-11-23T01:30:36.2999616Z 2022-11-23T01:30:36.2999684Z - 2022-11-23T01:30:36.2999803Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.2999853Z { 2022-11-23T01:30:36.3000086Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3000317Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3000434Z 'obj_weakref': None 2022-11-23T01:30:36.3000658Z 'guarded_class': 2022-11-23T01:30:36.3000723Z } 2022-11-23T01:30:36.3000785Z 2022-11-23T01:30:36.3000839Z - 2022-11-23T01:30:36.3001023Z local 'model.__closure__[0].cell_contents' FUNCTION_MATCH 2022-11-23T01:30:36.3001086Z { 2022-11-23T01:30:36.3001220Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3001430Z 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140534432298128)'], 2022-11-23T01:30:36.3001549Z 'obj_weakref': None 2022-11-23T01:30:36.3001778Z 'guarded_class': 2022-11-23T01:30:36.3001841Z } 2022-11-23T01:30:36.3001893Z 2022-11-23T01:30:36.3001961Z - 2022-11-23T01:30:36.3002094Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3002157Z { 2022-11-23T01:30:36.3002275Z 'guard_types': None, 2022-11-23T01:30:36.3002382Z 'code': None, 2022-11-23T01:30:36.3002489Z 'obj_weakref': None 2022-11-23T01:30:36.3002610Z 'guarded_class': None 2022-11-23T01:30:36.3002673Z } 2022-11-23T01:30:36.3002738Z 2022-11-23T01:30:36.3002998Z [2022-11-23 01:27:40,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368 2022-11-23T01:30:36.3003359Z [2022-11-23 01:27:42,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clf43i3cdz5jpryqrw2rl5456xscwru22sfv2rclivnrx5lz57iy.py 2022-11-23T01:30:36.3003622Z [2022-11-23 01:27:42,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368 2022-11-23T01:30:36.3003627Z 2022-11-23T01:30:36.3003722Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3003779Z import torch 2022-11-23T01:30:36.3003851Z import random 2022-11-23T01:30:36.3003968Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3004089Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3004096Z 2022-11-23T01:30:36.3004175Z aten = torch.ops.aten 2022-11-23T01:30:36.3004308Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3004434Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3004440Z 2022-11-23T01:30:36.3004444Z 2022-11-23T01:30:36.3004533Z async_compile.wait(globals()) 2022-11-23T01:30:36.3004595Z del async_compile 2022-11-23T01:30:36.3004601Z 2022-11-23T01:30:36.3004671Z def call(args): 2022-11-23T01:30:36.3004931Z arg0_1, = args 2022-11-23T01:30:36.3005005Z args.clear() 2022-11-23T01:30:36.3005201Z return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), ) 2022-11-23T01:30:36.3005208Z 2022-11-23T01:30:36.3005212Z 2022-11-23T01:30:36.3005288Z if __name__ == "__main__": 2022-11-23T01:30:36.3005401Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3005571Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3005771Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3005882Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3005887Z 2022-11-23T01:30:36.3005891Z 2022-11-23T01:30:36.3005983Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3006052Z import torch 2022-11-23T01:30:36.3006121Z import random 2022-11-23T01:30:36.3006236Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3006355Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3006359Z 2022-11-23T01:30:36.3006436Z aten = torch.ops.aten 2022-11-23T01:30:36.3006556Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3006649Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3006654Z 2022-11-23T01:30:36.3006659Z 2022-11-23T01:30:36.3006793Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3006998Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3007120Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3007223Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3007284Z { 2022-11-23T01:30:36.3007381Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3007430Z { 2022-11-23T01:30:36.3007560Z #pragma omp for 2022-11-23T01:30:36.3007643Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:30:36.3007705Z { 2022-11-23T01:30:36.3007848Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3007981Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.3008067Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3008146Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.3008208Z } 2022-11-23T01:30:36.3008303Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3008390Z for(long i0=40; i0<40; i0+=1) 2022-11-23T01:30:36.3008455Z { 2022-11-23T01:30:36.3008538Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3008638Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3008712Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3008792Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.3008853Z } 2022-11-23T01:30:36.3008913Z } 2022-11-23T01:30:36.3008973Z } 2022-11-23T01:30:36.3009050Z ''') 2022-11-23T01:30:36.3009054Z 2022-11-23T01:30:36.3009059Z 2022-11-23T01:30:36.3009147Z async_compile.wait(globals()) 2022-11-23T01:30:36.3009208Z del async_compile 2022-11-23T01:30:36.3009213Z 2022-11-23T01:30:36.3009284Z def call(args): 2022-11-23T01:30:36.3009354Z arg0_1, = args 2022-11-23T01:30:36.3009426Z args.clear() 2022-11-23T01:30:36.3009630Z buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3009763Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3009833Z del arg0_1 2022-11-23T01:30:36.3010045Z return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), ) 2022-11-23T01:30:36.3010064Z 2022-11-23T01:30:36.3010068Z 2022-11-23T01:30:36.3010132Z if __name__ == "__main__": 2022-11-23T01:30:36.3010247Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3010371Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3010624Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3010731Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3010735Z 2022-11-23T01:30:36.3010802Z ok (1.543s) 2022-11-23T01:30:36.3011119Z test_split_with_sizes_cpu (__main__.CpuTests) ... [2022-11-23 01:27:42,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3011466Z [2022-11-23 01:27:42,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3011684Z [2022-11-23 01:27:42,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3011922Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3012196Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3012541Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3012992Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3013316Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3013699Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3013917Z 1698 0 LOAD_CONST 1 ( at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>) 2022-11-23T01:30:36.3014168Z 2 LOAD_CONST 2 ('CommonTemplate.test_split_with_sizes..fn..') 2022-11-23T01:30:36.3014257Z 4 MAKE_FUNCTION 0 2022-11-23T01:30:36.3014351Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3014431Z 8 LOAD_METHOD 1 (split) 2022-11-23T01:30:36.3014519Z 10 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3014610Z 12 LOAD_CONST 3 (2.0) 2022-11-23T01:30:36.3014691Z 14 BINARY_MULTIPLY 2022-11-23T01:30:36.3014783Z 16 LOAD_FAST 1 (sizes) 2022-11-23T01:30:36.3014922Z 18 LOAD_CONST 4 (-1) 2022-11-23T01:30:36.3015009Z 20 CALL_METHOD 3 2022-11-23T01:30:36.3015067Z 22 GET_ITER 2022-11-23T01:30:36.3015153Z 24 CALL_FUNCTION 1 2022-11-23T01:30:36.3015228Z 26 RETURN_VALUE 2022-11-23T01:30:36.3015288Z 2022-11-23T01:30:36.3015293Z 2022-11-23T01:30:36.3015607Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698 2022-11-23T01:30:36.3016010Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> [] 2022-11-23T01:30:36.3016367Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes..fn.. [ConstantVariable(code)] 2022-11-23T01:30:36.3016693Z [2022-11-23 01:27:42,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:30:36.3016969Z [2022-11-23 01:27:42,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()] 2022-11-23T01:30:36.3017382Z [2022-11-23 01:27:42,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:30:36.3017728Z [2022-11-23 01:27:42,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:30:36.3018101Z [2022-11-23 01:27:42,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3018563Z [2022-11-23 01:27:42,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3018942Z [2022-11-23 01:27:42,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3019342Z [2022-11-23 01:27:42,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3019781Z [2022-11-23 01:27:42,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3020081Z [2022-11-23 01:27:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3020395Z [2022-11-23 01:27:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3020779Z [2022-11-23 01:27:42,039] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 2022-11-23T01:30:36.3020870Z 1698 0 BUILD_LIST 0 2022-11-23T01:30:36.3020961Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:30:36.3021040Z >> 4 FOR_ITER 6 (to 18) 2022-11-23T01:30:36.3021130Z 6 STORE_FAST 1 (t) 2022-11-23T01:30:36.3021220Z 8 LOAD_FAST 1 (t) 2022-11-23T01:30:36.3021315Z 10 LOAD_CONST 0 (1.0) 2022-11-23T01:30:36.3021389Z 12 BINARY_ADD 2022-11-23T01:30:36.3021480Z 14 LIST_APPEND 2 2022-11-23T01:30:36.3021575Z 16 JUMP_ABSOLUTE 2 (to 4) 2022-11-23T01:30:36.3021637Z >> 18 RETURN_VALUE 2022-11-23T01:30:36.3021697Z 2022-11-23T01:30:36.3021702Z 2022-11-23T01:30:36.3021912Z [2022-11-23 01:27:42,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:30:36.3022145Z [2022-11-23 01:27:42,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:30:36.3022417Z [2022-11-23 01:27:42,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3022721Z [2022-11-23 01:27:42,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3022993Z [2022-11-23 01:27:42,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3023386Z [2022-11-23 01:27:42,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3023855Z [2022-11-23 01:27:42,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3024167Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3024435Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3024709Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3025010Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3025320Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3025623Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3025970Z [2022-11-23 01:27:42,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3026276Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3026553Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3026829Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3027133Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3027390Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3027691Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3028037Z [2022-11-23 01:27:42,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3028340Z [2022-11-23 01:27:42,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3028621Z [2022-11-23 01:27:42,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3028892Z [2022-11-23 01:27:42,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3029135Z [2022-11-23 01:27:42,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3029526Z [2022-11-23 01:27:42,043] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 2022-11-23T01:30:36.3029764Z [2022-11-23 01:27:42,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3030138Z [2022-11-23 01:27:42,044] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3030379Z [2022-11-23 01:27:42,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3030626Z [2022-11-23 01:27:42,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3030881Z [2022-11-23 01:27:42,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3031129Z [2022-11-23 01:27:42,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3031318Z [2022-11-23 01:27:42,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3031453Z __compiled_fn_377 .3076 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3031542Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3031715Z call_function, mul, , (ex_0_, 2.0), {} 2022-11-23T01:30:36.3031922Z call_function, split, , (mul, [3, 3, 4], -1), {} 2022-11-23T01:30:36.3032124Z call_function, getitem, , (split, 0), {} 2022-11-23T01:30:36.3032312Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:30:36.3032497Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:30:36.3032674Z call_function, add, , (getitem, 1.0), {} 2022-11-23T01:30:36.3032856Z call_function, add_1, , (getitem_1, 1.0), {} 2022-11-23T01:30:36.3033035Z call_function, add_2, , (getitem_2, 1.0), {} 2022-11-23T01:30:36.3033142Z output, output, output, ((add, add_1, add_2),), {} 2022-11-23T01:30:36.3033147Z 2022-11-23T01:30:36.3033474Z [2022-11-23 01:27:42,051] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3033567Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3033645Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3033733Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3033827Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3033914Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3034001Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3034075Z 12 RETURN_VALUE 2022-11-23T01:30:36.3034080Z 2022-11-23T01:30:36.3034140Z 2022-11-23T01:30:36.3034448Z [2022-11-23 01:27:42,052] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3034558Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_377) 2022-11-23T01:30:36.3034648Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3034737Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3034812Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3034898Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3034999Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3035090Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3035180Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3035255Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3035356Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3035443Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3035517Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3035614Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3035700Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3035763Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3035847Z 30 BUILD_LIST 3 2022-11-23T01:30:36.3035922Z 32 RETURN_VALUE 2022-11-23T01:30:36.3035927Z 2022-11-23T01:30:36.3035987Z 2022-11-23T01:30:36.3036168Z [2022-11-23 01:27:42,053] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3036239Z - 2022-11-23T01:30:36.3036356Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3036407Z { 2022-11-23T01:30:36.3036544Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3036760Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3036880Z 'obj_weakref': None 2022-11-23T01:30:36.3037105Z 'guarded_class': 2022-11-23T01:30:36.3037169Z } 2022-11-23T01:30:36.3037232Z 2022-11-23T01:30:36.3037287Z - 2022-11-23T01:30:36.3037410Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3037474Z { 2022-11-23T01:30:36.3037616Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3037722Z 'code': None, 2022-11-23T01:30:36.3037934Z 'obj_weakref': 2022-11-23T01:30:36.3038226Z 'guarded_class': 2022-11-23T01:30:36.3038277Z } 2022-11-23T01:30:36.3038338Z 2022-11-23T01:30:36.3038409Z - 2022-11-23T01:30:36.3038530Z local 'ex[1]' EQUALS_MATCH 2022-11-23T01:30:36.3038592Z { 2022-11-23T01:30:36.3038759Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.3039143Z 'code': ['___check_type_id(ex[1], 94427249897024)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94427249894784)', '___check_type_id(ex[1][1], 94427249894784)', '___check_type_id(ex[1][2], 94427249894784)', 'ex[1] == [3, 3, 4]'], 2022-11-23T01:30:36.3039250Z 'obj_weakref': None 2022-11-23T01:30:36.3039470Z 'guarded_class': 2022-11-23T01:30:36.3039532Z } 2022-11-23T01:30:36.3039595Z 2022-11-23T01:30:36.3039665Z - 2022-11-23T01:30:36.3039798Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3039860Z { 2022-11-23T01:30:36.3040067Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3040244Z 'code': ['___check_obj_id(model, 140534643337840)'], 2022-11-23T01:30:36.3040363Z 'obj_weakref': None 2022-11-23T01:30:36.3040591Z 'guarded_class': 2022-11-23T01:30:36.3040657Z } 2022-11-23T01:30:36.3040720Z 2022-11-23T01:30:36.3040787Z - 2022-11-23T01:30:36.3040894Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3040957Z { 2022-11-23T01:30:36.3041092Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3041311Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3041430Z 'obj_weakref': None 2022-11-23T01:30:36.3041652Z 'guarded_class': 2022-11-23T01:30:36.3041717Z } 2022-11-23T01:30:36.3041766Z 2022-11-23T01:30:36.3041835Z - 2022-11-23T01:30:36.3041972Z local 'ex[1][0]' CONSTANT_MATCH 2022-11-23T01:30:36.3042036Z { 2022-11-23T01:30:36.3042177Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3042370Z 'code': ['___check_type_id(ex[1][0], 94427249894784)', 'ex[1][0] == 3'], 2022-11-23T01:30:36.3042486Z 'obj_weakref': None 2022-11-23T01:30:36.3042693Z 'guarded_class': 2022-11-23T01:30:36.3042761Z } 2022-11-23T01:30:36.3042822Z 2022-11-23T01:30:36.3042893Z - 2022-11-23T01:30:36.3043026Z local 'ex[1][1]' CONSTANT_MATCH 2022-11-23T01:30:36.3043094Z { 2022-11-23T01:30:36.3043235Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3043416Z 'code': ['___check_type_id(ex[1][1], 94427249894784)', 'ex[1][1] == 3'], 2022-11-23T01:30:36.3043534Z 'obj_weakref': None 2022-11-23T01:30:36.3043788Z 'guarded_class': 2022-11-23T01:30:36.3043854Z } 2022-11-23T01:30:36.3043919Z 2022-11-23T01:30:36.3043986Z - 2022-11-23T01:30:36.3044120Z local 'ex[1][2]' CONSTANT_MATCH 2022-11-23T01:30:36.3044170Z { 2022-11-23T01:30:36.3044309Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3044499Z 'code': ['___check_type_id(ex[1][2], 94427249894784)', 'ex[1][2] == 4'], 2022-11-23T01:30:36.3044616Z 'obj_weakref': None 2022-11-23T01:30:36.3044962Z 'guarded_class': 2022-11-23T01:30:36.3045027Z } 2022-11-23T01:30:36.3045090Z 2022-11-23T01:30:36.3045199Z - 2022-11-23T01:30:36.3045331Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3045394Z { 2022-11-23T01:30:36.3045516Z 'guard_types': None, 2022-11-23T01:30:36.3045624Z 'code': None, 2022-11-23T01:30:36.3045740Z 'obj_weakref': None 2022-11-23T01:30:36.3045862Z 'guarded_class': None 2022-11-23T01:30:36.3045913Z } 2022-11-23T01:30:36.3045976Z 2022-11-23T01:30:36.3046237Z [2022-11-23 01:27:42,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369 2022-11-23T01:30:36.3046602Z [2022-11-23 01:27:43,550] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tr/ctrigkxxk44kcm5x2l7wxoajnlo5parn24ci7oo6oagrl4cazfwi.py 2022-11-23T01:30:36.3046869Z [2022-11-23 01:27:43,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369 2022-11-23T01:30:36.3047105Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3047424Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3047641Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3047892Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3048153Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3048472Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3048818Z [2022-11-23 01:27:43,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3049141Z [2022-11-23 01:27:43,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3049523Z [2022-11-23 01:27:43,555] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3049742Z 1698 0 LOAD_CONST 1 ( at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>) 2022-11-23T01:30:36.3049992Z 2 LOAD_CONST 2 ('CommonTemplate.test_split_with_sizes..fn..') 2022-11-23T01:30:36.3050084Z 4 MAKE_FUNCTION 0 2022-11-23T01:30:36.3050180Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3050271Z 8 LOAD_METHOD 1 (split) 2022-11-23T01:30:36.3050349Z 10 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3050440Z 12 LOAD_CONST 3 (2.0) 2022-11-23T01:30:36.3050524Z 14 BINARY_MULTIPLY 2022-11-23T01:30:36.3050652Z 16 LOAD_FAST 1 (sizes) 2022-11-23T01:30:36.3050790Z 18 LOAD_CONST 4 (-1) 2022-11-23T01:30:36.3050878Z 20 CALL_METHOD 3 2022-11-23T01:30:36.3050949Z 22 GET_ITER 2022-11-23T01:30:36.3051024Z 24 CALL_FUNCTION 1 2022-11-23T01:30:36.3051100Z 26 RETURN_VALUE 2022-11-23T01:30:36.3051161Z 2022-11-23T01:30:36.3051167Z 2022-11-23T01:30:36.3051482Z [2022-11-23 01:27:43,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698 2022-11-23T01:30:36.3051883Z [2022-11-23 01:27:43,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> [] 2022-11-23T01:30:36.3052269Z [2022-11-23 01:27:43,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes..fn.. [ConstantVariable(code)] 2022-11-23T01:30:36.3052561Z [2022-11-23 01:27:43,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:30:36.3052836Z [2022-11-23 01:27:43,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()] 2022-11-23T01:30:36.3053259Z [2022-11-23 01:27:43,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:30:36.3053601Z [2022-11-23 01:27:43,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:30:36.3053964Z [2022-11-23 01:27:43,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3054398Z [2022-11-23 01:27:43,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3054774Z [2022-11-23 01:27:43,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3055175Z [2022-11-23 01:27:43,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3055614Z [2022-11-23 01:27:43,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3055913Z [2022-11-23 01:27:43,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3056271Z [2022-11-23 01:27:43,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3056658Z [2022-11-23 01:27:43,560] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 2022-11-23T01:30:36.3056751Z 1698 0 BUILD_LIST 0 2022-11-23T01:30:36.3056842Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:30:36.3056934Z >> 4 FOR_ITER 6 (to 18) 2022-11-23T01:30:36.3057013Z 6 STORE_FAST 1 (t) 2022-11-23T01:30:36.3057107Z 8 LOAD_FAST 1 (t) 2022-11-23T01:30:36.3057200Z 10 LOAD_CONST 0 (1.0) 2022-11-23T01:30:36.3057273Z 12 BINARY_ADD 2022-11-23T01:30:36.3057398Z 14 LIST_APPEND 2 2022-11-23T01:30:36.3057495Z 16 JUMP_ABSOLUTE 2 (to 4) 2022-11-23T01:30:36.3057571Z >> 18 RETURN_VALUE 2022-11-23T01:30:36.3057618Z 2022-11-23T01:30:36.3057623Z 2022-11-23T01:30:36.3057834Z [2022-11-23 01:27:43,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:30:36.3058067Z [2022-11-23 01:27:43,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:30:36.3058339Z [2022-11-23 01:27:43,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3058644Z [2022-11-23 01:27:43,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3058946Z [2022-11-23 01:27:43,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3059252Z [2022-11-23 01:27:43,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3059599Z [2022-11-23 01:27:43,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3059905Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3060185Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3060442Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3060746Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3061018Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3061324Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3061672Z [2022-11-23 01:27:43,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3061980Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3062259Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3062532Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3062838Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3063108Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3063412Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3063746Z [2022-11-23 01:27:43,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3064050Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3064331Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3064630Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3064873Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3065265Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 2022-11-23T01:30:36.3065503Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3065881Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3066149Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3066384Z [2022-11-23 01:27:43,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3066623Z [2022-11-23 01:27:43,566] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3066873Z [2022-11-23 01:27:43,571] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3067062Z [2022-11-23 01:27:43,572] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3067198Z __compiled_fn_378 .3082 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3067288Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3067461Z call_function, mul, , (ex_0_, 2.0), {} 2022-11-23T01:30:36.3067671Z call_function, split, , (mul, [4, 3, 3], -1), {} 2022-11-23T01:30:36.3067859Z call_function, getitem, , (split, 0), {} 2022-11-23T01:30:36.3068034Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:30:36.3068217Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:30:36.3068393Z call_function, add, , (getitem, 1.0), {} 2022-11-23T01:30:36.3068578Z call_function, add_1, , (getitem_1, 1.0), {} 2022-11-23T01:30:36.3068756Z call_function, add_2, , (getitem_2, 1.0), {} 2022-11-23T01:30:36.3068866Z output, output, output, ((add, add_1, add_2),), {} 2022-11-23T01:30:36.3068871Z 2022-11-23T01:30:36.3069199Z [2022-11-23 01:27:43,572] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3069290Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3069382Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3069458Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3069551Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3069635Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3069722Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3069797Z 12 RETURN_VALUE 2022-11-23T01:30:36.3069802Z 2022-11-23T01:30:36.3069862Z 2022-11-23T01:30:36.3070186Z [2022-11-23 01:27:43,572] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3070281Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_378) 2022-11-23T01:30:36.3070371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3070459Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3070538Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3070624Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3070728Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3070828Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3070939Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3071003Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3071102Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3071190Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3071263Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3071358Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3071445Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3071518Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3071591Z 30 BUILD_LIST 3 2022-11-23T01:30:36.3071664Z 32 RETURN_VALUE 2022-11-23T01:30:36.3071669Z 2022-11-23T01:30:36.3071730Z 2022-11-23T01:30:36.3071911Z [2022-11-23 01:27:43,573] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3072008Z - 2022-11-23T01:30:36.3072126Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3072188Z { 2022-11-23T01:30:36.3072317Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3072504Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3072622Z 'obj_weakref': None 2022-11-23T01:30:36.3072848Z 'guarded_class': 2022-11-23T01:30:36.3072914Z } 2022-11-23T01:30:36.3072976Z 2022-11-23T01:30:36.3073043Z - 2022-11-23T01:30:36.3073153Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3073215Z { 2022-11-23T01:30:36.3073361Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3073468Z 'code': None, 2022-11-23T01:30:36.3073682Z 'obj_weakref': 2022-11-23T01:30:36.3073936Z 'guarded_class': 2022-11-23T01:30:36.3073999Z } 2022-11-23T01:30:36.3074052Z 2022-11-23T01:30:36.3074120Z - 2022-11-23T01:30:36.3074241Z local 'ex[1]' EQUALS_MATCH 2022-11-23T01:30:36.3074304Z { 2022-11-23T01:30:36.3074471Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.3074854Z 'code': ['___check_type_id(ex[1], 94427249897024)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94427249894784)', '___check_type_id(ex[1][1], 94427249894784)', '___check_type_id(ex[1][2], 94427249894784)', 'ex[1] == [4, 3, 3]'], 2022-11-23T01:30:36.3074973Z 'obj_weakref': None 2022-11-23T01:30:36.3075194Z 'guarded_class': 2022-11-23T01:30:36.3075244Z } 2022-11-23T01:30:36.3075310Z 2022-11-23T01:30:36.3075378Z - 2022-11-23T01:30:36.3075508Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3075570Z { 2022-11-23T01:30:36.3075706Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3075862Z 'code': ['___check_obj_id(model, 140534643337840)'], 2022-11-23T01:30:36.3075979Z 'obj_weakref': None 2022-11-23T01:30:36.3076208Z 'guarded_class': 2022-11-23T01:30:36.3076272Z } 2022-11-23T01:30:36.3076335Z 2022-11-23T01:30:36.3076407Z - 2022-11-23T01:30:36.3076527Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3076577Z { 2022-11-23T01:30:36.3076712Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3076927Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3077043Z 'obj_weakref': None 2022-11-23T01:30:36.3077266Z 'guarded_class': 2022-11-23T01:30:36.3077329Z } 2022-11-23T01:30:36.3077427Z 2022-11-23T01:30:36.3077484Z - 2022-11-23T01:30:36.3077619Z local 'ex[1][0]' CONSTANT_MATCH 2022-11-23T01:30:36.3077682Z { 2022-11-23T01:30:36.3077821Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3078012Z 'code': ['___check_type_id(ex[1][0], 94427249894784)', 'ex[1][0] == 4'], 2022-11-23T01:30:36.3078130Z 'obj_weakref': None 2022-11-23T01:30:36.3078350Z 'guarded_class': 2022-11-23T01:30:36.3078412Z } 2022-11-23T01:30:36.3078462Z 2022-11-23T01:30:36.3078529Z - 2022-11-23T01:30:36.3078662Z local 'ex[1][1]' CONSTANT_MATCH 2022-11-23T01:30:36.3078725Z { 2022-11-23T01:30:36.3078864Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3079082Z 'code': ['___check_type_id(ex[1][1], 94427249894784)', 'ex[1][1] == 3'], 2022-11-23T01:30:36.3079189Z 'obj_weakref': None 2022-11-23T01:30:36.3079407Z 'guarded_class': 2022-11-23T01:30:36.3079470Z } 2022-11-23T01:30:36.3079533Z 2022-11-23T01:30:36.3079600Z - 2022-11-23T01:30:36.3079732Z local 'ex[1][2]' CONSTANT_MATCH 2022-11-23T01:30:36.3079795Z { 2022-11-23T01:30:36.3079922Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3080208Z 'code': ['___check_type_id(ex[1][2], 94427249894784)', 'ex[1][2] == 3'], 2022-11-23T01:30:36.3080327Z 'obj_weakref': None 2022-11-23T01:30:36.3080547Z 'guarded_class': 2022-11-23T01:30:36.3080611Z } 2022-11-23T01:30:36.3080678Z 2022-11-23T01:30:36.3080746Z - 2022-11-23T01:30:36.3080864Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3080928Z { 2022-11-23T01:30:36.3081047Z 'guard_types': None, 2022-11-23T01:30:36.3081154Z 'code': None, 2022-11-23T01:30:36.3081271Z 'obj_weakref': None 2022-11-23T01:30:36.3081392Z 'guarded_class': None 2022-11-23T01:30:36.3081455Z } 2022-11-23T01:30:36.3081504Z 2022-11-23T01:30:36.3081765Z [2022-11-23 01:27:43,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370 2022-11-23T01:30:36.3082137Z [2022-11-23 01:27:45,056] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7a/c7auknktvdds23dlyxoemrxo4c7nlminr5rzptbhzgm2di2dgqlz.py 2022-11-23T01:30:36.3082402Z [2022-11-23 01:27:45,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370 2022-11-23T01:30:36.3082639Z [2022-11-23 01:27:45,060] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3082957Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3083173Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3083421Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3083695Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3084001Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3084346Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3084700Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3085194Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3085413Z 1698 0 LOAD_CONST 1 ( at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>) 2022-11-23T01:30:36.3085663Z 2 LOAD_CONST 2 ('CommonTemplate.test_split_with_sizes..fn..') 2022-11-23T01:30:36.3085755Z 4 MAKE_FUNCTION 0 2022-11-23T01:30:36.3085849Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3085940Z 8 LOAD_METHOD 1 (split) 2022-11-23T01:30:36.3086085Z 10 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3086163Z 12 LOAD_CONST 3 (2.0) 2022-11-23T01:30:36.3086248Z 14 BINARY_MULTIPLY 2022-11-23T01:30:36.3086339Z 16 LOAD_FAST 1 (sizes) 2022-11-23T01:30:36.3086477Z 18 LOAD_CONST 4 (-1) 2022-11-23T01:30:36.3086564Z 20 CALL_METHOD 3 2022-11-23T01:30:36.3086635Z 22 GET_ITER 2022-11-23T01:30:36.3086723Z 24 CALL_FUNCTION 1 2022-11-23T01:30:36.3086787Z 26 RETURN_VALUE 2022-11-23T01:30:36.3086846Z 2022-11-23T01:30:36.3086852Z 2022-11-23T01:30:36.3087171Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698 2022-11-23T01:30:36.3087571Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> [] 2022-11-23T01:30:36.3087929Z [2022-11-23 01:27:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes..fn.. [ConstantVariable(code)] 2022-11-23T01:30:36.3088219Z [2022-11-23 01:27:45,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:30:36.3088491Z [2022-11-23 01:27:45,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()] 2022-11-23T01:30:36.3088915Z [2022-11-23 01:27:45,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:30:36.3089258Z [2022-11-23 01:27:45,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:30:36.3089637Z [2022-11-23 01:27:45,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3090067Z [2022-11-23 01:27:45,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3090433Z [2022-11-23 01:27:45,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3090832Z [2022-11-23 01:27:45,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3091269Z [2022-11-23 01:27:45,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3091600Z [2022-11-23 01:27:45,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3091917Z [2022-11-23 01:27:45,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3092305Z [2022-11-23 01:27:45,067] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 2022-11-23T01:30:36.3092396Z 1698 0 BUILD_LIST 0 2022-11-23T01:30:36.3092485Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:30:36.3092575Z >> 4 FOR_ITER 6 (to 18) 2022-11-23T01:30:36.3092692Z 6 STORE_FAST 1 (t) 2022-11-23T01:30:36.3092821Z 8 LOAD_FAST 1 (t) 2022-11-23T01:30:36.3092913Z 10 LOAD_CONST 0 (1.0) 2022-11-23T01:30:36.3092988Z 12 BINARY_ADD 2022-11-23T01:30:36.3093078Z 14 LIST_APPEND 2 2022-11-23T01:30:36.3093172Z 16 JUMP_ABSOLUTE 2 (to 4) 2022-11-23T01:30:36.3093246Z >> 18 RETURN_VALUE 2022-11-23T01:30:36.3093306Z 2022-11-23T01:30:36.3093312Z 2022-11-23T01:30:36.3093521Z [2022-11-23 01:27:45,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:30:36.3093741Z [2022-11-23 01:27:45,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:30:36.3094015Z [2022-11-23 01:27:45,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3094317Z [2022-11-23 01:27:45,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3094596Z [2022-11-23 01:27:45,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3094901Z [2022-11-23 01:27:45,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3095248Z [2022-11-23 01:27:45,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3095555Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3095835Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3096106Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3096413Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3096668Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3096969Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3097315Z [2022-11-23 01:27:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3097619Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3097895Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3098194Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3098496Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3098767Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3099066Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3099415Z [2022-11-23 01:27:45,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3099722Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3100016Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3100287Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3100587Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3100853Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3101153Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3101504Z [2022-11-23 01:27:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3101813Z [2022-11-23 01:27:45,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:30:36.3102089Z [2022-11-23 01:27:45,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3102356Z [2022-11-23 01:27:45,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:30:36.3102596Z [2022-11-23 01:27:45,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3102977Z [2022-11-23 01:27:45,072] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd16a1abd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 2022-11-23T01:30:36.3103217Z [2022-11-23 01:27:45,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3103602Z [2022-11-23 01:27:45,073] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3103843Z [2022-11-23 01:27:45,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:30:36.3104077Z [2022-11-23 01:27:45,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3104328Z [2022-11-23 01:27:45,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3104574Z [2022-11-23 01:27:45,081] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3104763Z [2022-11-23 01:27:45,081] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3104896Z __compiled_fn_379 .3088 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3104976Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3105149Z call_function, mul, , (ex_0_, 2.0), {} 2022-11-23T01:30:36.3105385Z call_function, split, , (mul, [1, 2, 3, 4], -1), {} 2022-11-23T01:30:36.3105575Z call_function, getitem, , (split, 0), {} 2022-11-23T01:30:36.3105766Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:30:36.3105952Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:30:36.3106137Z call_function, getitem_3, , (split, 3), {} 2022-11-23T01:30:36.3106316Z call_function, add, , (getitem, 1.0), {} 2022-11-23T01:30:36.3106485Z call_function, add_1, , (getitem_1, 1.0), {} 2022-11-23T01:30:36.3106664Z call_function, add_2, , (getitem_2, 1.0), {} 2022-11-23T01:30:36.3106839Z call_function, add_3, , (getitem_3, 1.0), {} 2022-11-23T01:30:36.3106982Z output, output, output, ((add, add_1, add_2, add_3),), {} 2022-11-23T01:30:36.3106987Z 2022-11-23T01:30:36.3107314Z [2022-11-23 01:27:45,082] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3107408Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3107499Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3107585Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3107666Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3107752Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3107840Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3107916Z 12 RETURN_VALUE 2022-11-23T01:30:36.3107921Z 2022-11-23T01:30:36.3107982Z 2022-11-23T01:30:36.3108304Z [2022-11-23 01:27:45,082] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3108414Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_379) 2022-11-23T01:30:36.3108505Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3108583Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3108662Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3108749Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3108853Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3108955Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3109042Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3109118Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3109205Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3109294Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3109371Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3109469Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3109560Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3109634Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3109735Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3109809Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.3109884Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.3109968Z 36 BUILD_LIST 4 2022-11-23T01:30:36.3110044Z 38 RETURN_VALUE 2022-11-23T01:30:36.3110049Z 2022-11-23T01:30:36.3110109Z 2022-11-23T01:30:36.3110289Z [2022-11-23 01:27:45,083] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3110360Z - 2022-11-23T01:30:36.3110477Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3110529Z { 2022-11-23T01:30:36.3110669Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3110856Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3110978Z 'obj_weakref': None 2022-11-23T01:30:36.3111201Z 'guarded_class': 2022-11-23T01:30:36.3111292Z } 2022-11-23T01:30:36.3111355Z 2022-11-23T01:30:36.3111411Z - 2022-11-23T01:30:36.3111535Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3111598Z { 2022-11-23T01:30:36.3111742Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3111847Z 'code': None, 2022-11-23T01:30:36.3112060Z 'obj_weakref': 2022-11-23T01:30:36.3112311Z 'guarded_class': 2022-11-23T01:30:36.3112361Z } 2022-11-23T01:30:36.3112423Z 2022-11-23T01:30:36.3112493Z - 2022-11-23T01:30:36.3112616Z local 'ex[1]' EQUALS_MATCH 2022-11-23T01:30:36.3112704Z { 2022-11-23T01:30:36.3112874Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.3113320Z 'code': ['___check_type_id(ex[1], 94427249897024)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 94427249894784)', '___check_type_id(ex[1][1], 94427249894784)', '___check_type_id(ex[1][2], 94427249894784)', '___check_type_id(ex[1][3], 94427249894784)', 'ex[1] == [1, 2, 3, 4]'], 2022-11-23T01:30:36.3113426Z 'obj_weakref': None 2022-11-23T01:30:36.3113647Z 'guarded_class': 2022-11-23T01:30:36.3113710Z } 2022-11-23T01:30:36.3113774Z 2022-11-23T01:30:36.3113844Z - 2022-11-23T01:30:36.3113974Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3114036Z { 2022-11-23T01:30:36.3114158Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3114327Z 'code': ['___check_obj_id(model, 140534643337840)'], 2022-11-23T01:30:36.3114448Z 'obj_weakref': None 2022-11-23T01:30:36.3114677Z 'guarded_class': 2022-11-23T01:30:36.3114745Z } 2022-11-23T01:30:36.3114809Z 2022-11-23T01:30:36.3114914Z - 2022-11-23T01:30:36.3115070Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3115160Z { 2022-11-23T01:30:36.3115384Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3115604Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3115721Z 'obj_weakref': None 2022-11-23T01:30:36.3115941Z 'guarded_class': 2022-11-23T01:30:36.3116004Z } 2022-11-23T01:30:36.3116055Z 2022-11-23T01:30:36.3116122Z - 2022-11-23T01:30:36.3116258Z local 'ex[1][0]' CONSTANT_MATCH 2022-11-23T01:30:36.3116326Z { 2022-11-23T01:30:36.3116467Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3116659Z 'code': ['___check_type_id(ex[1][0], 94427249894784)', 'ex[1][0] == 1'], 2022-11-23T01:30:36.3116777Z 'obj_weakref': None 2022-11-23T01:30:36.3116985Z 'guarded_class': 2022-11-23T01:30:36.3117050Z } 2022-11-23T01:30:36.3117111Z 2022-11-23T01:30:36.3117178Z - 2022-11-23T01:30:36.3117311Z local 'ex[1][1]' CONSTANT_MATCH 2022-11-23T01:30:36.3117374Z { 2022-11-23T01:30:36.3117513Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3117688Z 'code': ['___check_type_id(ex[1][1], 94427249894784)', 'ex[1][1] == 2'], 2022-11-23T01:30:36.3117806Z 'obj_weakref': None 2022-11-23T01:30:36.3118025Z 'guarded_class': 2022-11-23T01:30:36.3118091Z } 2022-11-23T01:30:36.3118153Z 2022-11-23T01:30:36.3118220Z - 2022-11-23T01:30:36.3118352Z local 'ex[1][2]' CONSTANT_MATCH 2022-11-23T01:30:36.3118441Z { 2022-11-23T01:30:36.3118584Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3118775Z 'code': ['___check_type_id(ex[1][2], 94427249894784)', 'ex[1][2] == 3'], 2022-11-23T01:30:36.3118892Z 'obj_weakref': None 2022-11-23T01:30:36.3119109Z 'guarded_class': 2022-11-23T01:30:36.3119171Z } 2022-11-23T01:30:36.3119232Z 2022-11-23T01:30:36.3119287Z - 2022-11-23T01:30:36.3119419Z local 'ex[1][3]' CONSTANT_MATCH 2022-11-23T01:30:36.3119481Z { 2022-11-23T01:30:36.3119620Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3119808Z 'code': ['___check_type_id(ex[1][3], 94427249894784)', 'ex[1][3] == 4'], 2022-11-23T01:30:36.3119954Z 'obj_weakref': None 2022-11-23T01:30:36.3120265Z 'guarded_class': 2022-11-23T01:30:36.3120316Z } 2022-11-23T01:30:36.3120378Z 2022-11-23T01:30:36.3120447Z - 2022-11-23T01:30:36.3120580Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3120643Z { 2022-11-23T01:30:36.3120763Z 'guard_types': None, 2022-11-23T01:30:36.3120872Z 'code': None, 2022-11-23T01:30:36.3120975Z 'obj_weakref': None 2022-11-23T01:30:36.3121095Z 'guarded_class': None 2022-11-23T01:30:36.3121158Z } 2022-11-23T01:30:36.3121220Z 2022-11-23T01:30:36.3121481Z [2022-11-23 01:27:45,097] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371 2022-11-23T01:30:36.3121488Z 2022-11-23T01:30:36.3121581Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3121654Z import torch 2022-11-23T01:30:36.3121710Z import random 2022-11-23T01:30:36.3121825Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3121948Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3121953Z 2022-11-23T01:30:36.3122030Z aten = torch.ops.aten 2022-11-23T01:30:36.3122164Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3122255Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3122260Z 2022-11-23T01:30:36.3122264Z 2022-11-23T01:30:36.3122396Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3122599Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3122705Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3122804Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3122899Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.3122994Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.3123056Z { 2022-11-23T01:30:36.3123153Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3123214Z { 2022-11-23T01:30:36.3123280Z #pragma omp for 2022-11-23T01:30:36.3123361Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3123423Z { 2022-11-23T01:30:36.3123503Z #pragma GCC ivdep 2022-11-23T01:30:36.3123585Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.3123647Z { 2022-11-23T01:30:36.3123710Z { 2022-11-23T01:30:36.3123764Z { 2022-11-23T01:30:36.3123868Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.3123975Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3124067Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3124174Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3124264Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3124363Z out_ptr0[i1 + (3*i0)] = tmp4; 2022-11-23T01:30:36.3124415Z } 2022-11-23T01:30:36.3124479Z } 2022-11-23T01:30:36.3124571Z } 2022-11-23T01:30:36.3124635Z } 2022-11-23T01:30:36.3124710Z #pragma omp for 2022-11-23T01:30:36.3124921Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3124985Z { 2022-11-23T01:30:36.3125052Z #pragma GCC ivdep 2022-11-23T01:30:36.3125133Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.3125239Z { 2022-11-23T01:30:36.3125302Z { 2022-11-23T01:30:36.3125368Z { 2022-11-23T01:30:36.3125472Z auto tmp0 = in_ptr0[3 + i1 + (10*i0)]; 2022-11-23T01:30:36.3125619Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3125712Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3125818Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3125964Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3126058Z out_ptr1[i1 + (3*i0)] = tmp4; 2022-11-23T01:30:36.3126127Z } 2022-11-23T01:30:36.3126191Z } 2022-11-23T01:30:36.3126254Z } 2022-11-23T01:30:36.3126303Z } 2022-11-23T01:30:36.3126379Z #pragma omp for 2022-11-23T01:30:36.3126460Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3126522Z { 2022-11-23T01:30:36.3126600Z #pragma GCC ivdep 2022-11-23T01:30:36.3126682Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.3126733Z { 2022-11-23T01:30:36.3126797Z { 2022-11-23T01:30:36.3126861Z { 2022-11-23T01:30:36.3126965Z auto tmp0 = in_ptr0[6 + i1 + (10*i0)]; 2022-11-23T01:30:36.3127072Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3127164Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3127272Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3127352Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3127450Z out_ptr2[i1 + (4*i0)] = tmp4; 2022-11-23T01:30:36.3127516Z } 2022-11-23T01:30:36.3127579Z } 2022-11-23T01:30:36.3127642Z } 2022-11-23T01:30:36.3127702Z } 2022-11-23T01:30:36.3127763Z } 2022-11-23T01:30:36.3127810Z } 2022-11-23T01:30:36.3127895Z ''') 2022-11-23T01:30:36.3127900Z 2022-11-23T01:30:36.3127904Z 2022-11-23T01:30:36.3127991Z async_compile.wait(globals()) 2022-11-23T01:30:36.3128063Z del async_compile 2022-11-23T01:30:36.3128067Z 2022-11-23T01:30:36.3128136Z def call(args): 2022-11-23T01:30:36.3128205Z arg0_1, = args 2022-11-23T01:30:36.3128275Z args.clear() 2022-11-23T01:30:36.3128465Z buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3128668Z buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3128869Z buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3129058Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.3129126Z del arg0_1 2022-11-23T01:30:36.3129206Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.3129211Z 2022-11-23T01:30:36.3129215Z 2022-11-23T01:30:36.3129290Z if __name__ == "__main__": 2022-11-23T01:30:36.3129402Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3129523Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3129716Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3129822Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3129827Z 2022-11-23T01:30:36.3129831Z 2022-11-23T01:30:36.3129927Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3129996Z import torch 2022-11-23T01:30:36.3130065Z import random 2022-11-23T01:30:36.3130215Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3130337Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3130341Z 2022-11-23T01:30:36.3130416Z aten = torch.ops.aten 2022-11-23T01:30:36.3130536Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3130626Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3130630Z 2022-11-23T01:30:36.3130635Z 2022-11-23T01:30:36.3130769Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3130976Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3131094Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3131193Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3131288Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.3131414Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.3131474Z { 2022-11-23T01:30:36.3131572Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3131636Z { 2022-11-23T01:30:36.3131713Z #pragma omp for 2022-11-23T01:30:36.3131793Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3131855Z { 2022-11-23T01:30:36.3131921Z #pragma GCC ivdep 2022-11-23T01:30:36.3132003Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.3132065Z { 2022-11-23T01:30:36.3132129Z { 2022-11-23T01:30:36.3132194Z { 2022-11-23T01:30:36.3132296Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.3132404Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3132485Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3132593Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3132687Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3132781Z out_ptr0[i1 + (4*i0)] = tmp4; 2022-11-23T01:30:36.3132847Z } 2022-11-23T01:30:36.3132912Z } 2022-11-23T01:30:36.3132975Z } 2022-11-23T01:30:36.3133026Z } 2022-11-23T01:30:36.3133101Z #pragma omp for 2022-11-23T01:30:36.3133183Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3133245Z { 2022-11-23T01:30:36.3133322Z #pragma GCC ivdep 2022-11-23T01:30:36.3133403Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.3133465Z { 2022-11-23T01:30:36.3133517Z { 2022-11-23T01:30:36.3133581Z { 2022-11-23T01:30:36.3133686Z auto tmp0 = in_ptr0[4 + i1 + (10*i0)]; 2022-11-23T01:30:36.3133791Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3133882Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3133990Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3134081Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3134165Z out_ptr1[i1 + (3*i0)] = tmp4; 2022-11-23T01:30:36.3134231Z } 2022-11-23T01:30:36.3134295Z } 2022-11-23T01:30:36.3134357Z } 2022-11-23T01:30:36.3134419Z } 2022-11-23T01:30:36.3134494Z #pragma omp for 2022-11-23T01:30:36.3134562Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3134623Z { 2022-11-23T01:30:36.3134701Z #pragma GCC ivdep 2022-11-23T01:30:36.3134782Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.3134845Z { 2022-11-23T01:30:36.3134907Z { 2022-11-23T01:30:36.3134972Z { 2022-11-23T01:30:36.3135062Z auto tmp0 = in_ptr0[7 + i1 + (10*i0)]; 2022-11-23T01:30:36.3135167Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3135262Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3135367Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3135485Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3135583Z out_ptr2[i1 + (3*i0)] = tmp4; 2022-11-23T01:30:36.3135649Z } 2022-11-23T01:30:36.3135700Z } 2022-11-23T01:30:36.3135765Z } 2022-11-23T01:30:36.3135828Z } 2022-11-23T01:30:36.3135889Z } 2022-11-23T01:30:36.3135948Z } 2022-11-23T01:30:36.3136028Z ''') 2022-11-23T01:30:36.3136033Z 2022-11-23T01:30:36.3136037Z 2022-11-23T01:30:36.3136126Z async_compile.wait(globals()) 2022-11-23T01:30:36.3136186Z del async_compile 2022-11-23T01:30:36.3136204Z 2022-11-23T01:30:36.3136261Z def call(args): 2022-11-23T01:30:36.3136331Z arg0_1, = args 2022-11-23T01:30:36.3136403Z args.clear() 2022-11-23T01:30:36.3136607Z buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3136834Z buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3137033Z buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3137221Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.3137276Z del arg0_1 2022-11-23T01:30:36.3137357Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.3137362Z 2022-11-23T01:30:36.3137367Z 2022-11-23T01:30:36.3137442Z if __name__ == "__main__": 2022-11-23T01:30:36.3137557Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3137681Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3137886Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3137992Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3137997Z 2022-11-23T01:30:36.3138372Z [2022-11-23 01:27:46,590] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wq/cwqk3kssls35ouazr4lspi7rqyixrrd3whe6rvppbyout4jaej4j.py 2022-11-23T01:30:36.3138642Z [2022-11-23 01:27:46,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371 2022-11-23T01:30:36.3138647Z 2022-11-23T01:30:36.3138728Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3138799Z import torch 2022-11-23T01:30:36.3138869Z import random 2022-11-23T01:30:36.3138986Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3139105Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3139109Z 2022-11-23T01:30:36.3139186Z aten = torch.ops.aten 2022-11-23T01:30:36.3139318Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3139396Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3139413Z 2022-11-23T01:30:36.3139418Z 2022-11-23T01:30:36.3139536Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3139744Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3139862Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3139962Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3140059Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.3140152Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.3140244Z float* __restrict__ out_ptr3) 2022-11-23T01:30:36.3140292Z { 2022-11-23T01:30:36.3140390Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3140451Z { 2022-11-23T01:30:36.3140528Z #pragma omp for 2022-11-23T01:30:36.3140609Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3140671Z { 2022-11-23T01:30:36.3140735Z { 2022-11-23T01:30:36.3140787Z { 2022-11-23T01:30:36.3140879Z auto tmp0 = in_ptr0[10*i0]; 2022-11-23T01:30:36.3140988Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3141082Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3141185Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3141302Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3141389Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.3141441Z } 2022-11-23T01:30:36.3141508Z } 2022-11-23T01:30:36.3141572Z } 2022-11-23T01:30:36.3141650Z #pragma omp for 2022-11-23T01:30:36.3141731Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3141794Z { 2022-11-23T01:30:36.3141861Z #pragma GCC ivdep 2022-11-23T01:30:36.3141943Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:36.3142007Z { 2022-11-23T01:30:36.3142070Z { 2022-11-23T01:30:36.3142140Z { 2022-11-23T01:30:36.3142245Z auto tmp0 = in_ptr0[1 + i1 + (10*i0)]; 2022-11-23T01:30:36.3142379Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3142459Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3142569Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3142662Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3142762Z out_ptr1[i1 + (2*i0)] = tmp4; 2022-11-23T01:30:36.3142829Z } 2022-11-23T01:30:36.3142895Z } 2022-11-23T01:30:36.3142957Z } 2022-11-23T01:30:36.3143006Z } 2022-11-23T01:30:36.3143082Z #pragma omp for 2022-11-23T01:30:36.3143164Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3143226Z { 2022-11-23T01:30:36.3143304Z #pragma GCC ivdep 2022-11-23T01:30:36.3143386Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.3143449Z { 2022-11-23T01:30:36.3143500Z { 2022-11-23T01:30:36.3143566Z { 2022-11-23T01:30:36.3143671Z auto tmp0 = in_ptr0[3 + i1 + (10*i0)]; 2022-11-23T01:30:36.3143780Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3143874Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3143980Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3144071Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3144152Z out_ptr2[i1 + (3*i0)] = tmp4; 2022-11-23T01:30:36.3144219Z } 2022-11-23T01:30:36.3144283Z } 2022-11-23T01:30:36.3144346Z } 2022-11-23T01:30:36.3144407Z } 2022-11-23T01:30:36.3144482Z #pragma omp for 2022-11-23T01:30:36.3144563Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3144612Z { 2022-11-23T01:30:36.3144688Z #pragma GCC ivdep 2022-11-23T01:30:36.3144770Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.3144832Z { 2022-11-23T01:30:36.3144897Z { 2022-11-23T01:30:36.3144962Z { 2022-11-23T01:30:36.3145051Z auto tmp0 = in_ptr0[6 + i1 + (10*i0)]; 2022-11-23T01:30:36.3145158Z auto tmp1 = static_cast(2.0); 2022-11-23T01:30:36.3145248Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3145356Z auto tmp3 = static_cast(1.0); 2022-11-23T01:30:36.3145450Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3145544Z out_ptr3[i1 + (4*i0)] = tmp4; 2022-11-23T01:30:36.3145609Z } 2022-11-23T01:30:36.3145672Z } 2022-11-23T01:30:36.3145721Z } 2022-11-23T01:30:36.3145783Z } 2022-11-23T01:30:36.3145842Z } 2022-11-23T01:30:36.3145901Z } 2022-11-23T01:30:36.3145979Z ''') 2022-11-23T01:30:36.3145984Z 2022-11-23T01:30:36.3145988Z 2022-11-23T01:30:36.3146076Z async_compile.wait(globals()) 2022-11-23T01:30:36.3146146Z del async_compile 2022-11-23T01:30:36.3146153Z 2022-11-23T01:30:36.3146209Z def call(args): 2022-11-23T01:30:36.3146277Z arg0_1, = args 2022-11-23T01:30:36.3146349Z args.clear() 2022-11-23T01:30:36.3146574Z buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3146775Z buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3146971Z buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3147166Z buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3147364Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.3147434Z del arg0_1 2022-11-23T01:30:36.3147520Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:36.3147525Z 2022-11-23T01:30:36.3147530Z 2022-11-23T01:30:36.3147606Z if __name__ == "__main__": 2022-11-23T01:30:36.3147749Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3147872Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3148077Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3148183Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3148188Z 2022-11-23T01:30:36.3148253Z ok (4.562s) 2022-11-23T01:30:36.3148547Z test_squeeze1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3148861Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3149075Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3149326Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3149605Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3149924Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3150274Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3150596Z [2022-11-23 01:27:46,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3150972Z [2022-11-23 01:27:46,596] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3151063Z 1270 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3151145Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.3151218Z 4 BINARY_ADD 2022-11-23T01:30:36.3151317Z 6 LOAD_METHOD 0 (squeeze) 2022-11-23T01:30:36.3151404Z 8 CALL_METHOD 0 2022-11-23T01:30:36.3151492Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.3151564Z 12 BINARY_ADD 2022-11-23T01:30:36.3151651Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3151734Z 16 LOAD_METHOD 0 (squeeze) 2022-11-23T01:30:36.3151821Z 18 CALL_METHOD 0 2022-11-23T01:30:36.3151909Z 20 LOAD_CONST 2 (2) 2022-11-23T01:30:36.3151980Z 22 BINARY_ADD 2022-11-23T01:30:36.3152068Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.3152141Z 26 RETURN_VALUE 2022-11-23T01:30:36.3152200Z 2022-11-23T01:30:36.3152205Z 2022-11-23T01:30:36.3152507Z [2022-11-23 01:27:46,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1270 2022-11-23T01:30:36.3152746Z [2022-11-23 01:27:46,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3152986Z [2022-11-23 01:27:46,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.3153264Z [2022-11-23 01:27:46,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3153508Z [2022-11-23 01:27:46,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()] 2022-11-23T01:30:36.3153792Z [2022-11-23 01:27:46,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:30:36.3154027Z [2022-11-23 01:27:46,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.3154335Z [2022-11-23 01:27:46,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3154572Z [2022-11-23 01:27:46,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.3154842Z [2022-11-23 01:27:46,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3155138Z [2022-11-23 01:27:46,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:30:36.3155405Z [2022-11-23 01:27:46,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3155707Z [2022-11-23 01:27:46,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3155971Z [2022-11-23 01:27:46,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3156215Z [2022-11-23 01:27:46,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3156595Z [2022-11-23 01:27:46,601] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3156836Z [2022-11-23 01:27:46,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3157066Z [2022-11-23 01:27:46,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3157317Z [2022-11-23 01:27:46,603] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3157566Z [2022-11-23 01:27:46,607] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3157740Z [2022-11-23 01:27:46,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3157874Z __compiled_fn_380 .3094 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3157964Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3158136Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.3158236Z call_method, squeeze, squeeze, (add,), {} 2022-11-23T01:30:36.3158414Z call_function, add_1, , (squeeze, 2), {} 2022-11-23T01:30:36.3158515Z call_method, squeeze_1, squeeze, (ex_0_,), {} 2022-11-23T01:30:36.3158680Z call_function, add_2, , (squeeze_1, 2), {} 2022-11-23T01:30:36.3158783Z output, output, output, ((add_1, add_2),), {} 2022-11-23T01:30:36.3158789Z 2022-11-23T01:30:36.3159114Z [2022-11-23 01:27:46,607] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3159207Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3159298Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3159384Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3159507Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3159593Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3159669Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3159745Z 12 RETURN_VALUE 2022-11-23T01:30:36.3159750Z 2022-11-23T01:30:36.3159810Z 2022-11-23T01:30:36.3160213Z [2022-11-23 01:27:46,607] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3160325Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_380) 2022-11-23T01:30:36.3160415Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3160506Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3160582Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3160656Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3160795Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3160896Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3160985Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3161063Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3161163Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3161249Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3161311Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3161396Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.3161470Z 26 RETURN_VALUE 2022-11-23T01:30:36.3161475Z 2022-11-23T01:30:36.3161533Z 2022-11-23T01:30:36.3161717Z [2022-11-23 01:27:46,608] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3161785Z - 2022-11-23T01:30:36.3161903Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3161954Z { 2022-11-23T01:30:36.3162094Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3162282Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3162403Z 'obj_weakref': None 2022-11-23T01:30:36.3162628Z 'guarded_class': 2022-11-23T01:30:36.3162696Z } 2022-11-23T01:30:36.3162759Z 2022-11-23T01:30:36.3162815Z - 2022-11-23T01:30:36.3162937Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3163000Z { 2022-11-23T01:30:36.3163142Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3163247Z 'code': None, 2022-11-23T01:30:36.3163458Z 'obj_weakref': 2022-11-23T01:30:36.3163709Z 'guarded_class': 2022-11-23T01:30:36.3163761Z } 2022-11-23T01:30:36.3163826Z 2022-11-23T01:30:36.3163893Z - 2022-11-23T01:30:36.3164021Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3164085Z { 2022-11-23T01:30:36.3164219Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3164387Z 'code': ['___check_obj_id(model, 140534432294672)'], 2022-11-23T01:30:36.3164493Z 'obj_weakref': None 2022-11-23T01:30:36.3164722Z 'guarded_class': 2022-11-23T01:30:36.3164959Z } 2022-11-23T01:30:36.3165023Z 2022-11-23T01:30:36.3165094Z - 2022-11-23T01:30:36.3165215Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3165279Z { 2022-11-23T01:30:36.3165400Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3165613Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3165730Z 'obj_weakref': None 2022-11-23T01:30:36.3165956Z 'guarded_class': 2022-11-23T01:30:36.3166019Z } 2022-11-23T01:30:36.3166134Z 2022-11-23T01:30:36.3166401Z [2022-11-23 01:27:46,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372 2022-11-23T01:30:36.3166776Z [2022-11-23 01:27:48,038] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hj/chjalhcflmr3wxksaghbmbntaw6j5nq6r3pa5jlipnoqt4kclvby.py 2022-11-23T01:30:36.3167027Z [2022-11-23 01:27:48,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372 2022-11-23T01:30:36.3167033Z 2022-11-23T01:30:36.3167126Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3167197Z import torch 2022-11-23T01:30:36.3167267Z import random 2022-11-23T01:30:36.3167382Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3167501Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3167543Z 2022-11-23T01:30:36.3167620Z aten = torch.ops.aten 2022-11-23T01:30:36.3167740Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3167834Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3167839Z 2022-11-23T01:30:36.3167843Z 2022-11-23T01:30:36.3167977Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3168180Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3168298Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3168396Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3168491Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.3168551Z { 2022-11-23T01:30:36.3168635Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3168696Z { 2022-11-23T01:30:36.3168773Z #pragma omp for 2022-11-23T01:30:36.3168854Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.3168919Z { 2022-11-23T01:30:36.3169067Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3169201Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.3169273Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3169400Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.3169484Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3169567Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.3169659Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.3169747Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.3169808Z } 2022-11-23T01:30:36.3169900Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3169967Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.3170028Z { 2022-11-23T01:30:36.3170111Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3170209Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3170293Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3170390Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.3170463Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3170546Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.3170624Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.3170701Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:36.3170762Z } 2022-11-23T01:30:36.3170822Z } 2022-11-23T01:30:36.3170881Z } 2022-11-23T01:30:36.3170945Z ''') 2022-11-23T01:30:36.3170950Z 2022-11-23T01:30:36.3170966Z 2022-11-23T01:30:36.3171042Z async_compile.wait(globals()) 2022-11-23T01:30:36.3171113Z del async_compile 2022-11-23T01:30:36.3171118Z 2022-11-23T01:30:36.3171189Z def call(args): 2022-11-23T01:30:36.3171258Z arg0_1, = args 2022-11-23T01:30:36.3171329Z args.clear() 2022-11-23T01:30:36.3171531Z buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3171731Z buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3171884Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.3171994Z del arg0_1 2022-11-23T01:30:36.3172071Z return (buf0, buf1, ) 2022-11-23T01:30:36.3172076Z 2022-11-23T01:30:36.3172081Z 2022-11-23T01:30:36.3172157Z if __name__ == "__main__": 2022-11-23T01:30:36.3172271Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3172392Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3172618Z arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3172725Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3172730Z 2022-11-23T01:30:36.3172783Z ok (1.447s) 2022-11-23T01:30:36.3173090Z test_squeeze2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:48,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3173446Z [2022-11-23 01:27:48,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3173668Z [2022-11-23 01:27:48,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3173920Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3174197Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3174516Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3174860Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3175179Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3175563Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3175644Z 1276 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3175738Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.3175813Z 4 BINARY_ADD 2022-11-23T01:30:36.3175911Z 6 LOAD_METHOD 0 (squeeze) 2022-11-23T01:30:36.3176045Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3176135Z 10 CALL_METHOD 1 2022-11-23T01:30:36.3176230Z 12 LOAD_METHOD 0 (squeeze) 2022-11-23T01:30:36.3176306Z 14 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3176393Z 16 CALL_METHOD 1 2022-11-23T01:30:36.3176483Z 18 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3176556Z 20 BINARY_ADD 2022-11-23T01:30:36.3176645Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3176742Z 24 LOAD_METHOD 0 (squeeze) 2022-11-23T01:30:36.3176828Z 26 LOAD_CONST 4 (0) 2022-11-23T01:30:36.3176902Z 28 CALL_METHOD 1 2022-11-23T01:30:36.3176988Z 30 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3177060Z 32 BINARY_ADD 2022-11-23T01:30:36.3177148Z 34 BUILD_TUPLE 2 2022-11-23T01:30:36.3177225Z 36 RETURN_VALUE 2022-11-23T01:30:36.3177287Z 2022-11-23T01:30:36.3177291Z 2022-11-23T01:30:36.3177606Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1276 2022-11-23T01:30:36.3177815Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3178042Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.3178349Z [2022-11-23 01:27:48,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3178599Z [2022-11-23 01:27:48,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()] 2022-11-23T01:30:36.3178879Z [2022-11-23 01:27:48,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:30:36.3179198Z [2022-11-23 01:27:48,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)] 2022-11-23T01:30:36.3179444Z [2022-11-23 01:27:48,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()] 2022-11-23T01:30:36.3179721Z [2022-11-23 01:27:48,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:30:36.3180071Z [2022-11-23 01:27:48,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)] 2022-11-23T01:30:36.3180307Z [2022-11-23 01:27:48,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.3180588Z [2022-11-23 01:27:48,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3180810Z [2022-11-23 01:27:48,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.3181081Z [2022-11-23 01:27:48,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3181387Z [2022-11-23 01:27:48,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:30:36.3181742Z [2022-11-23 01:27:48,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)] 2022-11-23T01:30:36.3182005Z [2022-11-23 01:27:48,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3182313Z [2022-11-23 01:27:48,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3182579Z [2022-11-23 01:27:48,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3182824Z [2022-11-23 01:27:48,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3183203Z [2022-11-23 01:27:48,049] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3183451Z [2022-11-23 01:27:48,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3183686Z [2022-11-23 01:27:48,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3183926Z [2022-11-23 01:27:48,051] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3184174Z [2022-11-23 01:27:48,055] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3184364Z [2022-11-23 01:27:48,055] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3184499Z __compiled_fn_381 .3100 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3184588Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3184764Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.3184911Z call_method, squeeze, squeeze, (add, -1), {} 2022-11-23T01:30:36.3185010Z call_method, squeeze_1, squeeze, (squeeze, 2), {} 2022-11-23T01:30:36.3185190Z call_function, add_1, , (squeeze_1, 2), {} 2022-11-23T01:30:36.3185320Z call_method, squeeze_2, squeeze, (ex_0_, 0), {} 2022-11-23T01:30:36.3185503Z call_function, add_2, , (squeeze_2, 2), {} 2022-11-23T01:30:36.3185608Z output, output, output, ((add_1, add_2),), {} 2022-11-23T01:30:36.3185613Z 2022-11-23T01:30:36.3185939Z [2022-11-23 01:27:48,056] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3186033Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3186123Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3186209Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3186287Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3186370Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3186488Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3186565Z 12 RETURN_VALUE 2022-11-23T01:30:36.3186570Z 2022-11-23T01:30:36.3186629Z 2022-11-23T01:30:36.3186955Z [2022-11-23 01:27:48,056] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3187062Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_381) 2022-11-23T01:30:36.3187140Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3187230Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3187306Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3187394Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3187497Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3187597Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3187684Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3187750Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3187850Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3187940Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3188016Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3188101Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.3188174Z 26 RETURN_VALUE 2022-11-23T01:30:36.3188180Z 2022-11-23T01:30:36.3188238Z 2022-11-23T01:30:36.3188418Z [2022-11-23 01:27:48,056] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3188475Z - 2022-11-23T01:30:36.3188592Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3188656Z { 2022-11-23T01:30:36.3188795Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3188979Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3189097Z 'obj_weakref': None 2022-11-23T01:30:36.3189322Z 'guarded_class': 2022-11-23T01:30:36.3189377Z } 2022-11-23T01:30:36.3189439Z 2022-11-23T01:30:36.3189507Z - 2022-11-23T01:30:36.3189632Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3189695Z { 2022-11-23T01:30:36.3189837Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3189930Z 'code': None, 2022-11-23T01:30:36.3190139Z 'obj_weakref': 2022-11-23T01:30:36.3190390Z 'guarded_class': 2022-11-23T01:30:36.3190454Z } 2022-11-23T01:30:36.3190517Z 2022-11-23T01:30:36.3190584Z - 2022-11-23T01:30:36.3190714Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3190776Z { 2022-11-23T01:30:36.3190896Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3191065Z 'code': ['___check_obj_id(model, 140534431378320)'], 2022-11-23T01:30:36.3191183Z 'obj_weakref': None 2022-11-23T01:30:36.3191459Z 'guarded_class': 2022-11-23T01:30:36.3191524Z } 2022-11-23T01:30:36.3191584Z 2022-11-23T01:30:36.3191652Z - 2022-11-23T01:30:36.3191761Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3191824Z { 2022-11-23T01:30:36.3191958Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3192172Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3192288Z 'obj_weakref': None 2022-11-23T01:30:36.3192508Z 'guarded_class': 2022-11-23T01:30:36.3192572Z } 2022-11-23T01:30:36.3192621Z 2022-11-23T01:30:36.3192877Z [2022-11-23 01:27:48,064] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373 2022-11-23T01:30:36.3193277Z [2022-11-23 01:27:49,499] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cek2yhmgtmcqzkdyt3whv5oem6l4vmsibhaofpy3cpqoq2ggdnqx.py 2022-11-23T01:30:36.3193540Z [2022-11-23 01:27:49,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373 2022-11-23T01:30:36.3193545Z 2022-11-23T01:30:36.3193638Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3193708Z import torch 2022-11-23T01:30:36.3193779Z import random 2022-11-23T01:30:36.3193892Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3194000Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3194005Z 2022-11-23T01:30:36.3194083Z aten = torch.ops.aten 2022-11-23T01:30:36.3194215Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3194307Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3194315Z 2022-11-23T01:30:36.3194319Z 2022-11-23T01:30:36.3194451Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3194657Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3194776Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3194875Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3194959Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.3195019Z { 2022-11-23T01:30:36.3195116Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3195177Z { 2022-11-23T01:30:36.3195253Z #pragma omp for 2022-11-23T01:30:36.3195334Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.3195395Z { 2022-11-23T01:30:36.3195518Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3195648Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.3195732Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3195863Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.3195947Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3196031Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.3196121Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.3196198Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.3196261Z } 2022-11-23T01:30:36.3196353Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3196434Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.3196496Z { 2022-11-23T01:30:36.3196579Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3196676Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3196745Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3196840Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.3196922Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3197003Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.3197084Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.3197160Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:36.3197221Z } 2022-11-23T01:30:36.3197269Z } 2022-11-23T01:30:36.3197357Z } 2022-11-23T01:30:36.3197438Z ''') 2022-11-23T01:30:36.3197443Z 2022-11-23T01:30:36.3197447Z 2022-11-23T01:30:36.3197534Z async_compile.wait(globals()) 2022-11-23T01:30:36.3197606Z del async_compile 2022-11-23T01:30:36.3197610Z 2022-11-23T01:30:36.3197679Z def call(args): 2022-11-23T01:30:36.3197748Z arg0_1, = args 2022-11-23T01:30:36.3197806Z args.clear() 2022-11-23T01:30:36.3198024Z buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3198246Z buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3198409Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.3198476Z del arg0_1 2022-11-23T01:30:36.3198580Z return (buf0, buf1, ) 2022-11-23T01:30:36.3198584Z 2022-11-23T01:30:36.3198589Z 2022-11-23T01:30:36.3198663Z if __name__ == "__main__": 2022-11-23T01:30:36.3198777Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3198886Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3199112Z arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3199217Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3199222Z 2022-11-23T01:30:36.3199286Z ok (1.461s) 2022-11-23T01:30:36.3199585Z test_stack_cpu (__main__.CpuTests) ... [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3199901Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3200223Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3200481Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3200757Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3201062Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3201412Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3201732Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3202104Z [2022-11-23 01:27:49,504] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3202202Z 2600 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3202297Z 2 LOAD_METHOD 1 (stack) 2022-11-23T01:30:36.3202302Z 2022-11-23T01:30:36.3202390Z 2602 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3202485Z 6 LOAD_METHOD 2 (expand) 2022-11-23T01:30:36.3202575Z 8 LOAD_CONST 1 (12) 2022-11-23T01:30:36.3202652Z 10 LOAD_CONST 2 (16) 2022-11-23T01:30:36.3202741Z 12 CALL_METHOD 2 2022-11-23T01:30:36.3202745Z 2022-11-23T01:30:36.3202832Z 2603 14 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3202926Z 16 LOAD_METHOD 2 (expand) 2022-11-23T01:30:36.3203013Z 18 LOAD_CONST 1 (12) 2022-11-23T01:30:36.3203099Z 20 LOAD_CONST 2 (16) 2022-11-23T01:30:36.3203187Z 22 CALL_METHOD 2 2022-11-23T01:30:36.3203192Z 2022-11-23T01:30:36.3203278Z 2601 24 BUILD_LIST 2 2022-11-23T01:30:36.3203318Z 2022-11-23T01:30:36.3203394Z 2605 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3203410Z 2022-11-23T01:30:36.3203483Z 2600 28 CALL_METHOD 2 2022-11-23T01:30:36.3203557Z 30 RETURN_VALUE 2022-11-23T01:30:36.3203618Z 2022-11-23T01:30:36.3203623Z 2022-11-23T01:30:36.3203938Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600 2022-11-23T01:30:36.3204157Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3204524Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable()] 2022-11-23T01:30:36.3204985Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2602 2022-11-23T01:30:36.3205310Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.3205664Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3206039Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:36.3206469Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:30:36.3206947Z [2022-11-23 01:27:49,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3207262Z [2022-11-23 01:27:49,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2603 2022-11-23T01:30:36.3207608Z [2022-11-23 01:27:49,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3207995Z [2022-11-23 01:27:49,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3208416Z [2022-11-23 01:27:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:30:36.3208875Z [2022-11-23 01:27:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:30:36.3209369Z [2022-11-23 01:27:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3209681Z [2022-11-23 01:27:49,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2601 2022-11-23T01:30:36.3210059Z [2022-11-23 01:27:49,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3210417Z [2022-11-23 01:27:49,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2605 2022-11-23T01:30:36.3210763Z [2022-11-23 01:27:49,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3211072Z [2022-11-23 01:27:49,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600 2022-11-23T01:30:36.3211457Z [2022-11-23 01:27:49,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3211693Z [2022-11-23 01:27:49,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3212111Z [2022-11-23 01:27:49,509] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3212359Z [2022-11-23 01:27:49,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3212592Z [2022-11-23 01:27:49,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3212845Z [2022-11-23 01:27:49,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3213095Z [2022-11-23 01:27:49,514] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3213283Z [2022-11-23 01:27:49,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3213416Z __compiled_fn_382 .3106 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3213509Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3213582Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3213690Z call_method, expand, expand, (ex_0_, 12, 16), {} 2022-11-23T01:30:36.3213794Z call_method, expand_1, expand, (ex_1_, 12, 16), {} 2022-11-23T01:30:36.3214049Z call_function, stack, , ([expand, expand_1], 2), {} 2022-11-23T01:30:36.3214144Z output, output, output, ((stack,),), {} 2022-11-23T01:30:36.3214149Z 2022-11-23T01:30:36.3214472Z [2022-11-23 01:27:49,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3214563Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3214653Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3214727Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3214820Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3214906Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3214993Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3215068Z 12 RETURN_VALUE 2022-11-23T01:30:36.3215076Z 2022-11-23T01:30:36.3215138Z 2022-11-23T01:30:36.3215459Z [2022-11-23 01:27:49,515] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3215567Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_382) 2022-11-23T01:30:36.3215643Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3215732Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3215807Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3215894Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3215981Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3216053Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3216140Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.3216219Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3216294Z 18 RETURN_VALUE 2022-11-23T01:30:36.3216299Z 2022-11-23T01:30:36.3216357Z 2022-11-23T01:30:36.3216566Z [2022-11-23 01:27:49,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3216638Z - 2022-11-23T01:30:36.3216755Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3216818Z { 2022-11-23T01:30:36.3216944Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3217129Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3217249Z 'obj_weakref': None 2022-11-23T01:30:36.3217476Z 'guarded_class': 2022-11-23T01:30:36.3217541Z } 2022-11-23T01:30:36.3217604Z 2022-11-23T01:30:36.3217672Z - 2022-11-23T01:30:36.3217783Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3217890Z { 2022-11-23T01:30:36.3218032Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3218141Z 'code': None, 2022-11-23T01:30:36.3218355Z 'obj_weakref': 2022-11-23T01:30:36.3218606Z 'guarded_class': 2022-11-23T01:30:36.3218669Z } 2022-11-23T01:30:36.3218721Z 2022-11-23T01:30:36.3218790Z - 2022-11-23T01:30:36.3218911Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3218976Z { 2022-11-23T01:30:36.3219117Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3219223Z 'code': None, 2022-11-23T01:30:36.3219432Z 'obj_weakref': 2022-11-23T01:30:36.3219668Z 'guarded_class': 2022-11-23T01:30:36.3219734Z } 2022-11-23T01:30:36.3219797Z 2022-11-23T01:30:36.3219866Z - 2022-11-23T01:30:36.3219999Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3220062Z { 2022-11-23T01:30:36.3220195Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3220349Z 'code': ['___check_obj_id(model, 140534432609712)'], 2022-11-23T01:30:36.3220468Z 'obj_weakref': None 2022-11-23T01:30:36.3220696Z 'guarded_class': 2022-11-23T01:30:36.3220760Z } 2022-11-23T01:30:36.3220823Z 2022-11-23T01:30:36.3220891Z - 2022-11-23T01:30:36.3221011Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3221060Z { 2022-11-23T01:30:36.3221194Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3221407Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3221529Z 'obj_weakref': None 2022-11-23T01:30:36.3221752Z 'guarded_class': 2022-11-23T01:30:36.3221815Z } 2022-11-23T01:30:36.3221878Z 2022-11-23T01:30:36.3221933Z - 2022-11-23T01:30:36.3222066Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3222128Z { 2022-11-23T01:30:36.3222250Z 'guard_types': None, 2022-11-23T01:30:36.3222356Z 'code': None, 2022-11-23T01:30:36.3222471Z 'obj_weakref': None 2022-11-23T01:30:36.3222590Z 'guarded_class': None 2022-11-23T01:30:36.3222640Z } 2022-11-23T01:30:36.3222703Z 2022-11-23T01:30:36.3222964Z [2022-11-23 01:27:49,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374 2022-11-23T01:30:36.3223337Z [2022-11-23 01:27:51,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnj6f4l4fxgcqsykiwtxmfqgboanarslkhdgnaqkgki4jkdjthea.py 2022-11-23T01:30:36.3223632Z [2022-11-23 01:27:51,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374 2022-11-23T01:30:36.3223639Z 2022-11-23T01:30:36.3223734Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3223803Z import torch 2022-11-23T01:30:36.3223872Z import random 2022-11-23T01:30:36.3223974Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3224095Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3224100Z 2022-11-23T01:30:36.3224179Z aten = torch.ops.aten 2022-11-23T01:30:36.3224313Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3224405Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3224410Z 2022-11-23T01:30:36.3224414Z 2022-11-23T01:30:36.3224546Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3224752Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3224900Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3224993Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3225093Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3225188Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.3225251Z { 2022-11-23T01:30:36.3225349Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3225410Z { 2022-11-23T01:30:36.3225486Z #pragma omp for 2022-11-23T01:30:36.3225555Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.3225619Z { 2022-11-23T01:30:36.3225701Z #pragma GCC ivdep 2022-11-23T01:30:36.3225787Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:36.3225850Z { 2022-11-23T01:30:36.3225914Z { 2022-11-23T01:30:36.3225979Z { 2022-11-23T01:30:36.3226061Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.3226162Z out_ptr0[(2*i1) + (32*i0)] = tmp0; 2022-11-23T01:30:36.3226231Z } 2022-11-23T01:30:36.3226298Z } 2022-11-23T01:30:36.3226363Z } 2022-11-23T01:30:36.3226426Z } 2022-11-23T01:30:36.3226489Z #pragma omp for 2022-11-23T01:30:36.3226571Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.3226632Z { 2022-11-23T01:30:36.3226711Z #pragma GCC ivdep 2022-11-23T01:30:36.3226795Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:36.3226857Z { 2022-11-23T01:30:36.3226921Z { 2022-11-23T01:30:36.3226974Z { 2022-11-23T01:30:36.3227067Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.3227164Z out_ptr1[(2*i1) + (32*i0)] = tmp0; 2022-11-23T01:30:36.3227233Z } 2022-11-23T01:30:36.3227297Z } 2022-11-23T01:30:36.3227358Z } 2022-11-23T01:30:36.3227421Z } 2022-11-23T01:30:36.3227469Z } 2022-11-23T01:30:36.3227527Z } 2022-11-23T01:30:36.3227603Z ''') 2022-11-23T01:30:36.3227608Z 2022-11-23T01:30:36.3227612Z 2022-11-23T01:30:36.3227702Z async_compile.wait(globals()) 2022-11-23T01:30:36.3227772Z del async_compile 2022-11-23T01:30:36.3227777Z 2022-11-23T01:30:36.3227845Z def call(args): 2022-11-23T01:30:36.3227919Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.3227976Z args.clear() 2022-11-23T01:30:36.3228183Z buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3228288Z buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1)) # alias 2022-11-23T01:30:36.3228393Z buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1) # alias 2022-11-23T01:30:36.3228582Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.3228648Z del arg0_1 2022-11-23T01:30:36.3228714Z del arg1_1 2022-11-23T01:30:36.3228774Z return (buf2, ) 2022-11-23T01:30:36.3228791Z 2022-11-23T01:30:36.3228795Z 2022-11-23T01:30:36.3228858Z if __name__ == "__main__": 2022-11-23T01:30:36.3229000Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3229125Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3229322Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3229519Z arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3229632Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.3229637Z 2022-11-23T01:30:36.3229704Z ok (1.536s) 2022-11-23T01:30:36.3230001Z test_std_cpu (__main__.CpuTests) ... [2022-11-23 01:27:51,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3230305Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3230554Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3230808Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3231086Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3231405Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3231750Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3232070Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3232446Z [2022-11-23 01:27:51,040] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3232542Z 2287 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3232633Z 2 LOAD_METHOD 1 (var) 2022-11-23T01:30:36.3232712Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3232804Z 6 LOAD_CONST 1 (True) 2022-11-23T01:30:36.3232894Z 8 CALL_METHOD 2 2022-11-23T01:30:36.3232899Z 2022-11-23T01:30:36.3232992Z 2288 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3233080Z 12 LOAD_METHOD 1 (var) 2022-11-23T01:30:36.3233167Z 14 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3233257Z 16 LOAD_CONST 2 (False) 2022-11-23T01:30:36.3233332Z 18 CALL_METHOD 2 2022-11-23T01:30:36.3233351Z 2022-11-23T01:30:36.3233428Z 2289 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3233515Z 22 LOAD_METHOD 1 (var) 2022-11-23T01:30:36.3233604Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3233741Z 26 LOAD_CONST 3 (-1) 2022-11-23T01:30:36.3233831Z 28 LOAD_CONST 1 (True) 2022-11-23T01:30:36.3233917Z 30 CALL_METHOD 3 2022-11-23T01:30:36.3233922Z 2022-11-23T01:30:36.3234011Z 2290 32 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3234089Z 34 LOAD_METHOD 1 (var) 2022-11-23T01:30:36.3234176Z 36 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3234311Z 38 LOAD_CONST 3 (-1) 2022-11-23T01:30:36.3234400Z 40 LOAD_CONST 2 (False) 2022-11-23T01:30:36.3234485Z 42 CALL_METHOD 3 2022-11-23T01:30:36.3234489Z 2022-11-23T01:30:36.3234580Z 2291 44 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3234670Z 46 LOAD_METHOD 2 (std) 2022-11-23T01:30:36.3234786Z 48 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3234864Z 50 LOAD_CONST 2 (False) 2022-11-23T01:30:36.3234948Z 52 CALL_METHOD 2 2022-11-23T01:30:36.3234953Z 2022-11-23T01:30:36.3235042Z 2292 54 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3235130Z 56 LOAD_METHOD 2 (std) 2022-11-23T01:30:36.3235217Z 58 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3235304Z 60 LOAD_CONST 4 (0) 2022-11-23T01:30:36.3235390Z 62 LOAD_CONST 5 (1) 2022-11-23T01:30:36.3235463Z 64 BUILD_LIST 2 2022-11-23T01:30:36.3235552Z 66 LOAD_CONST 1 (True) 2022-11-23T01:30:36.3235637Z 68 CALL_METHOD 3 2022-11-23T01:30:36.3235669Z 2022-11-23T01:30:36.3235760Z 2293 70 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3235849Z 72 LOAD_METHOD 2 (std) 2022-11-23T01:30:36.3235939Z 74 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3236025Z 76 LOAD_CONST 4 (0) 2022-11-23T01:30:36.3236111Z 78 LOAD_CONST 5 (1) 2022-11-23T01:30:36.3236184Z 80 BUILD_LIST 2 2022-11-23T01:30:36.3236271Z 82 LOAD_CONST 2 (False) 2022-11-23T01:30:36.3236356Z 84 CALL_METHOD 3 2022-11-23T01:30:36.3236361Z 2022-11-23T01:30:36.3236449Z 2294 86 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3236536Z 88 LOAD_ATTR 2 (std) 2022-11-23T01:30:36.3236620Z 90 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3236754Z 92 LOAD_CONST 6 (-2) 2022-11-23T01:30:36.3236835Z 94 LOAD_CONST 1 (True) 2022-11-23T01:30:36.3236923Z 96 LOAD_CONST 1 (True) 2022-11-23T01:30:36.3237077Z 98 LOAD_CONST 7 (('keepdim',)) 2022-11-23T01:30:36.3237167Z 100 CALL_FUNCTION_KW 4 2022-11-23T01:30:36.3237171Z 2022-11-23T01:30:36.3237258Z 2286 102 BUILD_TUPLE 8 2022-11-23T01:30:36.3237333Z 104 RETURN_VALUE 2022-11-23T01:30:36.3237393Z 2022-11-23T01:30:36.3237398Z 2022-11-23T01:30:36.3237715Z [2022-11-23 01:27:51,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2287 2022-11-23T01:30:36.3237923Z [2022-11-23 01:27:51,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3238287Z [2022-11-23 01:27:51,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable()] 2022-11-23T01:30:36.3238610Z [2022-11-23 01:27:51,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.3238964Z [2022-11-23 01:27:51,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3239355Z [2022-11-23 01:27:51,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.3239666Z [2022-11-23 01:27:51,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2288 2022-11-23T01:30:36.3239912Z [2022-11-23 01:27:51,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.3240384Z [2022-11-23 01:27:51,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3240768Z [2022-11-23 01:27:51,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3241151Z [2022-11-23 01:27:51,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3241568Z [2022-11-23 01:27:51,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.3241880Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2289 2022-11-23T01:30:36.3242181Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3242591Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3242964Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3243378Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3243821Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3244314Z [2022-11-23 01:27:51,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.3244625Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2290 2022-11-23T01:30:36.3245040Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3245493Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3245907Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3246338Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3246816Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3247331Z [2022-11-23 01:27:51,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.3247693Z [2022-11-23 01:27:51,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2291 2022-11-23T01:30:36.3248025Z [2022-11-23 01:27:51,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3248502Z [2022-11-23 01:27:51,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3248932Z [2022-11-23 01:27:51,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3249404Z [2022-11-23 01:27:51,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3249929Z [2022-11-23 01:27:51,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.3250244Z [2022-11-23 01:27:51,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2292 2022-11-23T01:30:36.3250597Z [2022-11-23 01:27:51,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3251095Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3251559Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3252044Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3252570Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3253138Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3253656Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3254214Z [2022-11-23 01:27:51,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.3254558Z [2022-11-23 01:27:51,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2293 2022-11-23T01:30:36.3254941Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3255475Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3255963Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3256509Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3257063Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3257653Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3258206Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3258795Z [2022-11-23 01:27:51,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.3259107Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2294 2022-11-23T01:30:36.3259515Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3260083Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3260597Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3261142Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3261764Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3262387Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.3263058Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:30:36.3263812Z [2022-11-23 01:27:51,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.3264125Z [2022-11-23 01:27:51,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2286 2022-11-23T01:30:36.3264558Z [2022-11-23 01:27:51,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3264805Z [2022-11-23 01:27:51,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3265168Z [2022-11-23 01:27:51,055] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3265411Z [2022-11-23 01:27:51,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3265642Z [2022-11-23 01:27:51,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3265893Z [2022-11-23 01:27:51,057] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3266139Z [2022-11-23 01:27:51,064] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3266325Z [2022-11-23 01:27:51,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3266462Z __compiled_fn_383 .3112 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3266550Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3266781Z call_function, var, , (ex_0_, True), {} 2022-11-23T01:30:36.3266998Z call_function, var_1, , (ex_0_, False), {} 2022-11-23T01:30:36.3267233Z call_function, var_2, , (ex_0_, -1, True), {} 2022-11-23T01:30:36.3267466Z call_function, var_3, , (ex_0_, -1, False), {} 2022-11-23T01:30:36.3267695Z call_function, std, , (ex_0_, False), {} 2022-11-23T01:30:36.3267928Z call_function, std_1, , (ex_0_, [0, 1], True), {} 2022-11-23T01:30:36.3268160Z call_function, std_2, , (ex_0_, [0, 1], False), {} 2022-11-23T01:30:36.3268448Z call_function, std_3, , (ex_0_, -2, True), {'keepdim': True} 2022-11-23T01:30:36.3268587Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {} 2022-11-23T01:30:36.3268593Z 2022-11-23T01:30:36.3268917Z [2022-11-23 01:27:51,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3268998Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3269087Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3269173Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3269267Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3269350Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3269438Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3269544Z 12 RETURN_VALUE 2022-11-23T01:30:36.3269549Z 2022-11-23T01:30:36.3269608Z 2022-11-23T01:30:36.3269919Z [2022-11-23 01:27:51,065] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3270025Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_383) 2022-11-23T01:30:36.3270115Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3270203Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3270279Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3270365Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3270467Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3270556Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3270646Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3270721Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3270820Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3270910Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3270985Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3271086Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3271161Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3271236Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3271334Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3271422Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.3271498Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.3271597Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3271686Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.3271759Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.3271844Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3271930Z 44 LOAD_CONST 6 (5) 2022-11-23T01:30:36.3272009Z 46 BINARY_SUBSCR 2022-11-23T01:30:36.3272107Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3272193Z 50 LOAD_CONST 7 (6) 2022-11-23T01:30:36.3272269Z 52 BINARY_SUBSCR 2022-11-23T01:30:36.3272368Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3272441Z 56 LOAD_CONST 8 (7) 2022-11-23T01:30:36.3272516Z 58 BINARY_SUBSCR 2022-11-23T01:30:36.3272605Z 60 BUILD_TUPLE 8 2022-11-23T01:30:36.3272680Z 62 RETURN_VALUE 2022-11-23T01:30:36.3272685Z 2022-11-23T01:30:36.3272747Z 2022-11-23T01:30:36.3272928Z [2022-11-23 01:27:51,066] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3272997Z - 2022-11-23T01:30:36.3273103Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3273168Z { 2022-11-23T01:30:36.3273311Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3273500Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3273618Z 'obj_weakref': None 2022-11-23T01:30:36.3273875Z 'guarded_class': 2022-11-23T01:30:36.3273941Z } 2022-11-23T01:30:36.3273991Z 2022-11-23T01:30:36.3274061Z - 2022-11-23T01:30:36.3274184Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3274248Z { 2022-11-23T01:30:36.3274391Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3274497Z 'code': None, 2022-11-23T01:30:36.3274707Z 'obj_weakref': 2022-11-23T01:30:36.3274949Z 'guarded_class': 2022-11-23T01:30:36.3275014Z } 2022-11-23T01:30:36.3275078Z 2022-11-23T01:30:36.3275147Z - 2022-11-23T01:30:36.3275309Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3275372Z { 2022-11-23T01:30:36.3275504Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3275663Z 'code': ['___check_obj_id(model, 140534432287184)'], 2022-11-23T01:30:36.3275782Z 'obj_weakref': None 2022-11-23T01:30:36.3276014Z 'guarded_class': 2022-11-23T01:30:36.3276080Z } 2022-11-23T01:30:36.3276143Z 2022-11-23T01:30:36.3276212Z - 2022-11-23T01:30:36.3276332Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3276383Z { 2022-11-23T01:30:36.3276519Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3276734Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3276854Z 'obj_weakref': None 2022-11-23T01:30:36.3277075Z 'guarded_class': 2022-11-23T01:30:36.3277141Z } 2022-11-23T01:30:36.3277202Z 2022-11-23T01:30:36.3277257Z - 2022-11-23T01:30:36.3277393Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3277457Z { 2022-11-23T01:30:36.3277576Z 'guard_types': None, 2022-11-23T01:30:36.3277682Z 'code': None, 2022-11-23T01:30:36.3277800Z 'obj_weakref': None 2022-11-23T01:30:36.3277921Z 'guarded_class': None 2022-11-23T01:30:36.3277971Z } 2022-11-23T01:30:36.3278033Z 2022-11-23T01:30:36.3278292Z [2022-11-23 01:27:51,079] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375 2022-11-23T01:30:36.3278298Z 2022-11-23T01:30:36.3278391Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3278460Z import torch 2022-11-23T01:30:36.3278529Z import random 2022-11-23T01:30:36.3278644Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3278757Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3278762Z 2022-11-23T01:30:36.3278841Z aten = torch.ops.aten 2022-11-23T01:30:36.3278976Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3279070Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3279074Z 2022-11-23T01:30:36.3279079Z 2022-11-23T01:30:36.3279211Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3279415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3279532Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.3279633Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:36.3279720Z float* __restrict__ in_out_ptr2, 2022-11-23T01:30:36.3279818Z float* __restrict__ in_out_ptr3, 2022-11-23T01:30:36.3279916Z float* __restrict__ in_out_ptr4, 2022-11-23T01:30:36.3280127Z float* __restrict__ in_out_ptr5, 2022-11-23T01:30:36.3280228Z float* __restrict__ in_out_ptr6, 2022-11-23T01:30:36.3280367Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3280468Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3280550Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.3280644Z float* __restrict__ out_ptr4, 2022-11-23T01:30:36.3280737Z float* __restrict__ out_ptr5, 2022-11-23T01:30:36.3280829Z float* __restrict__ out_ptr7, 2022-11-23T01:30:36.3280930Z float* __restrict__ out_ptr10, 2022-11-23T01:30:36.3281026Z float* __restrict__ out_ptr12, 2022-11-23T01:30:36.3281121Z float* __restrict__ out_ptr14) 2022-11-23T01:30:36.3281184Z { 2022-11-23T01:30:36.3281258Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.3281375Z auto out_ptr3 = in_out_ptr1; 2022-11-23T01:30:36.3281457Z auto out_ptr6 = in_out_ptr2; 2022-11-23T01:30:36.3281538Z auto out_ptr8 = in_out_ptr3; 2022-11-23T01:30:36.3281616Z auto out_ptr9 = in_out_ptr4; 2022-11-23T01:30:36.3286281Z auto out_ptr11 = in_out_ptr5; 2022-11-23T01:30:36.3286395Z auto out_ptr13 = in_out_ptr6; 2022-11-23T01:30:36.3286459Z { 2022-11-23T01:30:36.3286668Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3286749Z float tmp1 = 0; 2022-11-23T01:30:36.3286857Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.3286964Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3287031Z { 2022-11-23T01:30:36.3287139Z #pragma omp for reduction(+:tmp1_vec) 2022-11-23T01:30:36.3287225Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3287291Z { 2022-11-23T01:30:36.3287424Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3287499Z tmp1_vec += tmp0; 2022-11-23T01:30:36.3287562Z } 2022-11-23T01:30:36.3287759Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.3287880Z #pragma omp for simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.3287970Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.3288035Z { 2022-11-23T01:30:36.3288123Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3288187Z tmp1 += tmp0; 2022-11-23T01:30:36.3288251Z } 2022-11-23T01:30:36.3288313Z } 2022-11-23T01:30:36.3288391Z out_ptr0[0] = tmp1; 2022-11-23T01:30:36.3288455Z } 2022-11-23T01:30:36.3288518Z { 2022-11-23T01:30:36.3288706Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3288771Z float tmp6 = 0; 2022-11-23T01:30:36.3288889Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3288961Z float tmp7 = 0; 2022-11-23T01:30:36.3289078Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.3289181Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3289245Z { 2022-11-23T01:30:36.3289378Z #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 2022-11-23T01:30:36.3289464Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3289516Z { 2022-11-23T01:30:36.3289651Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3289774Z auto tmp1 = at::vec::Vectorized(out_ptr0[0]); 2022-11-23T01:30:36.3289909Z auto tmp2 = at::vec::Vectorized(static_cast(256)); 2022-11-23T01:30:36.3289996Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3290160Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3290248Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3290315Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3290493Z tmp7_vec += tmp0; 2022-11-23T01:30:36.3290560Z } 2022-11-23T01:30:36.3290757Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3290948Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:36.3291091Z #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:36.3291183Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.3291247Z { 2022-11-23T01:30:36.3291322Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3291410Z auto tmp1 = out_ptr0[0]; 2022-11-23T01:30:36.3291513Z auto tmp2 = static_cast(256); 2022-11-23T01:30:36.3291665Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3291797Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3291885Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3291961Z tmp6 += tmp5; 2022-11-23T01:30:36.3292021Z tmp7 += tmp0; 2022-11-23T01:30:36.3292086Z } 2022-11-23T01:30:36.3292152Z } 2022-11-23T01:30:36.3292229Z out_ptr1[0] = tmp6; 2022-11-23T01:30:36.3292305Z out_ptr2[0] = tmp7; 2022-11-23T01:30:36.3292369Z } 2022-11-23T01:30:36.3292431Z { 2022-11-23T01:30:36.3292605Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3292680Z float tmp6 = 0; 2022-11-23T01:30:36.3292798Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3292873Z float tmp7 = 0; 2022-11-23T01:30:36.3292988Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.3293093Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3293158Z { 2022-11-23T01:30:36.3293296Z #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 2022-11-23T01:30:36.3293371Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3293438Z { 2022-11-23T01:30:36.3293573Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3293699Z auto tmp1 = at::vec::Vectorized(out_ptr2[0]); 2022-11-23T01:30:36.3293834Z auto tmp2 = at::vec::Vectorized(static_cast(256)); 2022-11-23T01:30:36.3293922Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3294052Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3294128Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3294211Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3294291Z tmp7_vec += tmp0; 2022-11-23T01:30:36.3294358Z } 2022-11-23T01:30:36.3294552Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3294743Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:36.3294884Z #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:36.3294975Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.3295027Z { 2022-11-23T01:30:36.3295114Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3295200Z auto tmp1 = out_ptr2[0]; 2022-11-23T01:30:36.3295304Z auto tmp2 = static_cast(256); 2022-11-23T01:30:36.3295393Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3295522Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3295607Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3295673Z tmp6 += tmp5; 2022-11-23T01:30:36.3295746Z tmp7 += tmp0; 2022-11-23T01:30:36.3295811Z } 2022-11-23T01:30:36.3295901Z } 2022-11-23T01:30:36.3295981Z out_ptr3[0] = tmp6; 2022-11-23T01:30:36.3296056Z out_ptr4[0] = tmp7; 2022-11-23T01:30:36.3296117Z } 2022-11-23T01:30:36.3296201Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3296264Z { 2022-11-23T01:30:36.3296341Z #pragma omp for 2022-11-23T01:30:36.3296426Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3296489Z { 2022-11-23T01:30:36.3296553Z { 2022-11-23T01:30:36.3296741Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3296808Z float tmp1 = 0; 2022-11-23T01:30:36.3296931Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.3297020Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3297114Z { 2022-11-23T01:30:36.3297257Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3297340Z tmp1_vec += tmp0; 2022-11-23T01:30:36.3297405Z } 2022-11-23T01:30:36.3297599Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.3297706Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.3297794Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3297859Z { 2022-11-23T01:30:36.3297957Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3298034Z tmp1 += tmp0; 2022-11-23T01:30:36.3298099Z } 2022-11-23T01:30:36.3298181Z out_ptr5[i0] = tmp1; 2022-11-23T01:30:36.3298232Z } 2022-11-23T01:30:36.3298298Z } 2022-11-23T01:30:36.3298374Z #pragma omp for 2022-11-23T01:30:36.3298455Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3298520Z { 2022-11-23T01:30:36.3298587Z { 2022-11-23T01:30:36.3298775Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3298842Z float tmp6 = 0; 2022-11-23T01:30:36.3298966Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3299044Z float tmp7 = 0; 2022-11-23T01:30:36.3299164Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.3299253Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3299317Z { 2022-11-23T01:30:36.3299460Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3299589Z auto tmp1 = at::vec::Vectorized(out_ptr5[i0]); 2022-11-23T01:30:36.3299715Z auto tmp2 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.3299810Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3299949Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3300040Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3300121Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3300201Z tmp7_vec += tmp0; 2022-11-23T01:30:36.3300266Z } 2022-11-23T01:30:36.3300462Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3300642Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:36.3300784Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:36.3300872Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3300938Z { 2022-11-23T01:30:36.3301037Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3301155Z auto tmp1 = out_ptr5[i0]; 2022-11-23T01:30:36.3301260Z auto tmp2 = static_cast(8); 2022-11-23T01:30:36.3301351Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3301472Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3301561Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3301638Z tmp6 += tmp5; 2022-11-23T01:30:36.3301716Z tmp7 += tmp0; 2022-11-23T01:30:36.3301780Z } 2022-11-23T01:30:36.3301861Z out_ptr6[i0] = tmp6; 2022-11-23T01:30:36.3301941Z out_ptr7[i0] = tmp7; 2022-11-23T01:30:36.3301992Z } 2022-11-23T01:30:36.3302054Z } 2022-11-23T01:30:36.3302129Z #pragma omp for 2022-11-23T01:30:36.3302211Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3302301Z { 2022-11-23T01:30:36.3302364Z { 2022-11-23T01:30:36.3302556Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3302624Z float tmp6 = 0; 2022-11-23T01:30:36.3302744Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3302833Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3302898Z { 2022-11-23T01:30:36.3303040Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3303166Z auto tmp1 = at::vec::Vectorized(out_ptr7[i0]); 2022-11-23T01:30:36.3303303Z auto tmp2 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.3303398Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3303520Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3303613Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3303696Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3303762Z } 2022-11-23T01:30:36.3303958Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3304078Z #pragma omp simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:30:36.3304167Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3304219Z { 2022-11-23T01:30:36.3304317Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3304408Z auto tmp1 = out_ptr7[i0]; 2022-11-23T01:30:36.3304511Z auto tmp2 = static_cast(8); 2022-11-23T01:30:36.3304601Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3304735Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3304824Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3304892Z tmp6 += tmp5; 2022-11-23T01:30:36.3304957Z } 2022-11-23T01:30:36.3305038Z out_ptr8[i0] = tmp6; 2022-11-23T01:30:36.3305104Z } 2022-11-23T01:30:36.3305168Z } 2022-11-23T01:30:36.3305230Z } 2022-11-23T01:30:36.3305293Z { 2022-11-23T01:30:36.3305467Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3305543Z float tmp6 = 0; 2022-11-23T01:30:36.3305659Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3305762Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3305825Z { 2022-11-23T01:30:36.3305930Z #pragma omp for reduction(+:tmp6_vec) 2022-11-23T01:30:36.3306016Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3306067Z { 2022-11-23T01:30:36.3306202Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3306330Z auto tmp1 = at::vec::Vectorized(out_ptr4[0]); 2022-11-23T01:30:36.3306492Z auto tmp2 = at::vec::Vectorized(static_cast(256)); 2022-11-23T01:30:36.3306583Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3306712Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3306799Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3306878Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3306930Z } 2022-11-23T01:30:36.3307123Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3307245Z #pragma omp for simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:30:36.3307333Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.3307396Z { 2022-11-23T01:30:36.3307481Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3307566Z auto tmp1 = out_ptr4[0]; 2022-11-23T01:30:36.3307712Z auto tmp2 = static_cast(256); 2022-11-23T01:30:36.3307786Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3307915Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3308000Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3308074Z tmp6 += tmp5; 2022-11-23T01:30:36.3308138Z } 2022-11-23T01:30:36.3308201Z } 2022-11-23T01:30:36.3308265Z out_ptr9[0] = tmp6; 2022-11-23T01:30:36.3308327Z } 2022-11-23T01:30:36.3308423Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3308485Z { 2022-11-23T01:30:36.3308561Z #pragma omp for 2022-11-23T01:30:36.3308644Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3308706Z { 2022-11-23T01:30:36.3308757Z { 2022-11-23T01:30:36.3308821Z { 2022-11-23T01:30:36.3308901Z float tmp1 = 0; 2022-11-23T01:30:36.3308998Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.3309067Z { 2022-11-23T01:30:36.3309136Z { 2022-11-23T01:30:36.3309242Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:30:36.3309312Z tmp1 += tmp0; 2022-11-23T01:30:36.3309379Z } 2022-11-23T01:30:36.3309446Z } 2022-11-23T01:30:36.3309530Z out_ptr10[i0] = tmp1; 2022-11-23T01:30:36.3309596Z } 2022-11-23T01:30:36.3309660Z } 2022-11-23T01:30:36.3309721Z } 2022-11-23T01:30:36.3309784Z #pragma omp for 2022-11-23T01:30:36.3309865Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3309928Z { 2022-11-23T01:30:36.3309991Z { 2022-11-23T01:30:36.3310056Z { 2022-11-23T01:30:36.3310136Z float tmp6 = 0; 2022-11-23T01:30:36.3310202Z float tmp7 = 0; 2022-11-23T01:30:36.3310293Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.3310362Z { 2022-11-23T01:30:36.3310430Z { 2022-11-23T01:30:36.3310535Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:30:36.3310636Z auto tmp1 = out_ptr10[i0]; 2022-11-23T01:30:36.3310741Z auto tmp2 = static_cast(8); 2022-11-23T01:30:36.3310823Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3310969Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3311061Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3311142Z tmp6 += tmp5; 2022-11-23T01:30:36.3311223Z tmp7 += tmp0; 2022-11-23T01:30:36.3311290Z } 2022-11-23T01:30:36.3311357Z } 2022-11-23T01:30:36.3311427Z out_ptr11[i0] = tmp6; 2022-11-23T01:30:36.3311512Z out_ptr12[i0] = tmp7; 2022-11-23T01:30:36.3311579Z } 2022-11-23T01:30:36.3311642Z } 2022-11-23T01:30:36.3311705Z } 2022-11-23T01:30:36.3311783Z #pragma omp for 2022-11-23T01:30:36.3311893Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3311943Z { 2022-11-23T01:30:36.3312007Z { 2022-11-23T01:30:36.3312071Z { 2022-11-23T01:30:36.3312152Z float tmp6 = 0; 2022-11-23T01:30:36.3312242Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.3312311Z { 2022-11-23T01:30:36.3312379Z { 2022-11-23T01:30:36.3312469Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:30:36.3312569Z auto tmp1 = out_ptr12[i0]; 2022-11-23T01:30:36.3312674Z auto tmp2 = static_cast(8); 2022-11-23T01:30:36.3312769Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3312913Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3313032Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3313112Z tmp6 += tmp5; 2022-11-23T01:30:36.3313170Z } 2022-11-23T01:30:36.3313236Z } 2022-11-23T01:30:36.3313320Z out_ptr13[i0] = tmp6; 2022-11-23T01:30:36.3313384Z } 2022-11-23T01:30:36.3313447Z } 2022-11-23T01:30:36.3313511Z } 2022-11-23T01:30:36.3313591Z #pragma omp single 2022-11-23T01:30:36.3313642Z { 2022-11-23T01:30:36.3313704Z { 2022-11-23T01:30:36.3313768Z { 2022-11-23T01:30:36.3313860Z auto tmp0 = out_ptr1[0]; 2022-11-23T01:30:36.3313968Z auto tmp1 = static_cast(255); 2022-11-23T01:30:36.3314059Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3314145Z in_out_ptr0[0] = tmp2; 2022-11-23T01:30:36.3314200Z } 2022-11-23T01:30:36.3314262Z } 2022-11-23T01:30:36.3314324Z } 2022-11-23T01:30:36.3314403Z #pragma omp single 2022-11-23T01:30:36.3314465Z { 2022-11-23T01:30:36.3314529Z { 2022-11-23T01:30:36.3314580Z { 2022-11-23T01:30:36.3314669Z auto tmp0 = out_ptr3[0]; 2022-11-23T01:30:36.3314772Z auto tmp1 = static_cast(256); 2022-11-23T01:30:36.3314860Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3314947Z in_out_ptr1[0] = tmp2; 2022-11-23T01:30:36.3315011Z } 2022-11-23T01:30:36.3315073Z } 2022-11-23T01:30:36.3315122Z } 2022-11-23T01:30:36.3315197Z #pragma omp for 2022-11-23T01:30:36.3315278Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3315339Z { 2022-11-23T01:30:36.3315475Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr6 + 8*i0); 2022-11-23T01:30:36.3315609Z auto tmp1 = at::vec::Vectorized(static_cast(7)); 2022-11-23T01:30:36.3315697Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3315779Z tmp2.store(in_out_ptr2 + 8*i0); 2022-11-23T01:30:36.3315843Z } 2022-11-23T01:30:36.3315939Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3316022Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:36.3316084Z { 2022-11-23T01:30:36.3316167Z auto tmp0 = out_ptr6[i0]; 2022-11-23T01:30:36.3316265Z auto tmp1 = static_cast(7); 2022-11-23T01:30:36.3316336Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3316418Z in_out_ptr2[i0] = tmp2; 2022-11-23T01:30:36.3316480Z } 2022-11-23T01:30:36.3316558Z #pragma omp for 2022-11-23T01:30:36.3316639Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3316701Z { 2022-11-23T01:30:36.3316830Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr8 + 8*i0); 2022-11-23T01:30:36.3316948Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.3317036Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3317156Z tmp2.store(in_out_ptr3 + 8*i0); 2022-11-23T01:30:36.3317221Z } 2022-11-23T01:30:36.3317314Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3317395Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:36.3317459Z { 2022-11-23T01:30:36.3317531Z auto tmp0 = out_ptr8[i0]; 2022-11-23T01:30:36.3317630Z auto tmp1 = static_cast(8); 2022-11-23T01:30:36.3317714Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3317796Z in_out_ptr3[i0] = tmp2; 2022-11-23T01:30:36.3317858Z } 2022-11-23T01:30:36.3317935Z #pragma omp single 2022-11-23T01:30:36.3317996Z { 2022-11-23T01:30:36.3318046Z { 2022-11-23T01:30:36.3318112Z { 2022-11-23T01:30:36.3318204Z auto tmp0 = out_ptr9[0]; 2022-11-23T01:30:36.3318337Z auto tmp1 = static_cast(256); 2022-11-23T01:30:36.3318428Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3318529Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:30:36.3318616Z in_out_ptr4[0] = tmp3; 2022-11-23T01:30:36.3318668Z } 2022-11-23T01:30:36.3318730Z } 2022-11-23T01:30:36.3318792Z } 2022-11-23T01:30:36.3318867Z #pragma omp for 2022-11-23T01:30:36.3318947Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3319009Z { 2022-11-23T01:30:36.3319144Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr11 + 8*i0); 2022-11-23T01:30:36.3319265Z auto tmp1 = at::vec::Vectorized(static_cast(7)); 2022-11-23T01:30:36.3319350Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3319433Z auto tmp3 = tmp2.sqrt(); 2022-11-23T01:30:36.3319527Z tmp3.store(in_out_ptr5 + 8*i0); 2022-11-23T01:30:36.3319590Z } 2022-11-23T01:30:36.3319686Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3319767Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:36.3319815Z { 2022-11-23T01:30:36.3319904Z auto tmp0 = out_ptr11[i0]; 2022-11-23T01:30:36.3320092Z auto tmp1 = static_cast(7); 2022-11-23T01:30:36.3320180Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3320272Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:30:36.3320355Z in_out_ptr5[i0] = tmp3; 2022-11-23T01:30:36.3320418Z } 2022-11-23T01:30:36.3320481Z #pragma omp for 2022-11-23T01:30:36.3320562Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3320624Z { 2022-11-23T01:30:36.3320758Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr13 + 8*i0); 2022-11-23T01:30:36.3320890Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.3320974Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3321059Z auto tmp3 = tmp2.sqrt(); 2022-11-23T01:30:36.3321142Z tmp3.store(in_out_ptr6 + 8*i0); 2022-11-23T01:30:36.3321203Z } 2022-11-23T01:30:36.3321299Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3321382Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:30:36.3321445Z { 2022-11-23T01:30:36.3321532Z auto tmp0 = out_ptr13[i0]; 2022-11-23T01:30:36.3321631Z auto tmp1 = static_cast(8); 2022-11-23T01:30:36.3321702Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3321793Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:30:36.3321874Z in_out_ptr6[i0] = tmp3; 2022-11-23T01:30:36.3321935Z } 2022-11-23T01:30:36.3322010Z #pragma omp for 2022-11-23T01:30:36.3322089Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.3322151Z { 2022-11-23T01:30:36.3322221Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3322284Z { 2022-11-23T01:30:36.3322423Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.3322568Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 8 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.3322740Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr0 + 16 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.3322917Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr0 + 24 + (8*i1) + (32*i0)); 2022-11-23T01:30:36.3323005Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3323092Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3323166Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.3323299Z auto tmp7 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:30:36.3323383Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:30:36.3323521Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:30:36.3323609Z auto tmp10 = tmp9.pow(2); 2022-11-23T01:30:36.3323742Z auto tmp11 = tmp1 - tmp8; 2022-11-23T01:30:36.3323862Z auto tmp12 = tmp11.pow(2); 2022-11-23T01:30:36.3323941Z auto tmp13 = tmp10 + tmp12; 2022-11-23T01:30:36.3324073Z auto tmp14 = tmp3 - tmp8; 2022-11-23T01:30:36.3324164Z auto tmp15 = tmp14.pow(2); 2022-11-23T01:30:36.3324254Z auto tmp16 = tmp13 + tmp15; 2022-11-23T01:30:36.3324382Z auto tmp17 = tmp5 - tmp8; 2022-11-23T01:30:36.3324470Z auto tmp18 = tmp17.pow(2); 2022-11-23T01:30:36.3324559Z auto tmp19 = tmp16 + tmp18; 2022-11-23T01:30:36.3324682Z auto tmp20 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:36.3324880Z auto tmp21 = tmp19 / tmp20; 2022-11-23T01:30:36.3324971Z auto tmp22 = tmp21.sqrt(); 2022-11-23T01:30:36.3325076Z tmp22.store(out_ptr14 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3325141Z } 2022-11-23T01:30:36.3325232Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.3325317Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3325368Z { 2022-11-23T01:30:36.3325470Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:36.3325569Z auto tmp1 = in_ptr0[8 + i1 + (32*i0)]; 2022-11-23T01:30:36.3325666Z auto tmp3 = in_ptr0[16 + i1 + (32*i0)]; 2022-11-23T01:30:36.3325763Z auto tmp5 = in_ptr0[24 + i1 + (32*i0)]; 2022-11-23T01:30:36.3325852Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3325939Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3326023Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:30:36.3326113Z auto tmp7 = static_cast(4); 2022-11-23T01:30:36.3326199Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:30:36.3326330Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:30:36.3326418Z auto tmp10 = tmp9 * tmp9; 2022-11-23T01:30:36.3326546Z auto tmp11 = tmp1 - tmp8; 2022-11-23T01:30:36.3326640Z auto tmp12 = tmp11 * tmp11; 2022-11-23T01:30:36.3326730Z auto tmp13 = tmp10 + tmp12; 2022-11-23T01:30:36.3326849Z auto tmp14 = tmp3 - tmp8; 2022-11-23T01:30:36.3326943Z auto tmp15 = tmp14 * tmp14; 2022-11-23T01:30:36.3327033Z auto tmp16 = tmp13 + tmp15; 2022-11-23T01:30:36.3327161Z auto tmp17 = tmp5 - tmp8; 2022-11-23T01:30:36.3327249Z auto tmp18 = tmp17 * tmp17; 2022-11-23T01:30:36.3327338Z auto tmp19 = tmp16 + tmp18; 2022-11-23T01:30:36.3327440Z auto tmp20 = static_cast(3); 2022-11-23T01:30:36.3327515Z auto tmp21 = tmp19 / tmp20; 2022-11-23T01:30:36.3327611Z auto tmp22 = std::sqrt(tmp21); 2022-11-23T01:30:36.3327702Z out_ptr14[i1 + (8*i0)] = tmp22; 2022-11-23T01:30:36.3327766Z } 2022-11-23T01:30:36.3327830Z } 2022-11-23T01:30:36.3327894Z } 2022-11-23T01:30:36.3327954Z } 2022-11-23T01:30:36.3328020Z ''') 2022-11-23T01:30:36.3328028Z 2022-11-23T01:30:36.3328033Z 2022-11-23T01:30:36.3328123Z async_compile.wait(globals()) 2022-11-23T01:30:36.3328242Z del async_compile 2022-11-23T01:30:36.3328248Z 2022-11-23T01:30:36.3328321Z def call(args): 2022-11-23T01:30:36.3328391Z arg0_1, = args 2022-11-23T01:30:36.3328463Z args.clear() 2022-11-23T01:30:36.3328677Z buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3328850Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3329056Z buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3329240Z buf3 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3329440Z buf8 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3329649Z buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3329885Z buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3330092Z buf6 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3330291Z buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3330457Z buf9 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3330664Z buf10 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3330856Z buf11 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3331063Z buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3331251Z buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3331338Z buf14 = buf1; del buf1 # reuse 2022-11-23T01:30:36.3331424Z buf15 = buf3; del buf3 # reuse 2022-11-23T01:30:36.3331508Z buf16 = buf5; del buf5 # reuse 2022-11-23T01:30:36.3331576Z buf17 = buf7; del buf7 # reuse 2022-11-23T01:30:36.3331659Z buf18 = buf9; del buf9 # reuse 2022-11-23T01:30:36.3331747Z buf19 = buf11; del buf11 # reuse 2022-11-23T01:30:36.3331830Z buf20 = buf13; del buf13 # reuse 2022-11-23T01:30:36.3332038Z buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3332510Z kernel_cpp_0(c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf18.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf21.data_ptr())) 2022-11-23T01:30:36.3332580Z del arg0_1 2022-11-23T01:30:36.3332703Z return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, ) 2022-11-23T01:30:36.3332708Z 2022-11-23T01:30:36.3332713Z 2022-11-23T01:30:36.3332791Z if __name__ == "__main__": 2022-11-23T01:30:36.3332894Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3333018Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3333234Z arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3333343Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3333715Z [2022-11-23 01:27:52,912] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnenf3jvxidb2toesz3ye65vhxmw4rqv77tqqw74dzd6puodsxd2.py 2022-11-23T01:30:36.3333981Z [2022-11-23 01:27:52,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375 2022-11-23T01:30:36.3333986Z 2022-11-23T01:30:36.3334053Z ok (1.878s) 2022-11-23T01:30:36.3334369Z test_strided_inputs_cpu (__main__.CpuTests) ... [2022-11-23 01:27:52,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:36.3334717Z [2022-11-23 01:27:52,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3204 2022-11-23T01:30:36.3334917Z [2022-11-23 01:27:52,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.3335155Z [2022-11-23 01:27:52,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.3335428Z [2022-11-23 01:27:52,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3335677Z [2022-11-23 01:27:52,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3335911Z [2022-11-23 01:27:52,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:36.3336156Z [2022-11-23 01:27:52,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.3336425Z [2022-11-23 01:27:52,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.3336615Z [2022-11-23 01:27:52,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3336749Z __compiled_fn_384 .3118 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3336820Z placeholder, x, x, (), {} 2022-11-23T01:30:36.3336902Z placeholder, y, y, (), {} 2022-11-23T01:30:36.3337065Z call_function, add, , (x, y), {} 2022-11-23T01:30:36.3337159Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.3337164Z 2022-11-23T01:30:36.3337486Z [2022-11-23 01:27:52,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 2022-11-23T01:30:36.3337578Z 3204 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3337670Z 2 LOAD_FAST 1 (y) 2022-11-23T01:30:36.3337745Z 4 BINARY_ADD 2022-11-23T01:30:36.3337808Z 6 RETURN_VALUE 2022-11-23T01:30:36.3337813Z 2022-11-23T01:30:36.3337877Z 2022-11-23T01:30:36.3338202Z [2022-11-23 01:27:52,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 2022-11-23T01:30:36.3338311Z 3202 0 LOAD_GLOBAL 0 (__compiled_fn_384) 2022-11-23T01:30:36.3338400Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3338488Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:36.3338578Z 6 CALL_FUNCTION 2 2022-11-23T01:30:36.3338658Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3338733Z 10 RETURN_VALUE 2022-11-23T01:30:36.3338736Z 2022-11-23T01:30:36.3338797Z 2022-11-23T01:30:36.3338978Z [2022-11-23 01:27:52,925] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3339052Z - 2022-11-23T01:30:36.3339172Z local 'x' TENSOR_MATCH 2022-11-23T01:30:36.3339237Z { 2022-11-23T01:30:36.3339369Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3339476Z 'code': None, 2022-11-23T01:30:36.3339685Z 'obj_weakref': 2022-11-23T01:30:36.3339937Z 'guarded_class': 2022-11-23T01:30:36.3340002Z } 2022-11-23T01:30:36.3340067Z 2022-11-23T01:30:36.3340136Z - 2022-11-23T01:30:36.3340242Z local 'y' TENSOR_MATCH 2022-11-23T01:30:36.3340308Z { 2022-11-23T01:30:36.3340448Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3340555Z 'code': None, 2022-11-23T01:30:36.3340769Z 'obj_weakref': 2022-11-23T01:30:36.3341017Z 'guarded_class': 2022-11-23T01:30:36.3341082Z } 2022-11-23T01:30:36.3341173Z 2022-11-23T01:30:36.3341419Z [2022-11-23 01:27:52,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376 2022-11-23T01:30:36.3341787Z [2022-11-23 01:27:54,351] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakit77q4mhr2iwdy4cqjm2rjld7ja4o4wihkrkxhjkgsg4yn2mb.py 2022-11-23T01:30:36.3342053Z [2022-11-23 01:27:54,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376 2022-11-23T01:30:36.3342058Z 2022-11-23T01:30:36.3342152Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3342221Z import torch 2022-11-23T01:30:36.3342292Z import random 2022-11-23T01:30:36.3342406Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3342529Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3342561Z 2022-11-23T01:30:36.3342626Z aten = torch.ops.aten 2022-11-23T01:30:36.3342760Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3342854Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3342859Z 2022-11-23T01:30:36.3342863Z 2022-11-23T01:30:36.3342997Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3343203Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3343321Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3343426Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3343525Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3343573Z { 2022-11-23T01:30:36.3343669Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3343731Z { 2022-11-23T01:30:36.3343809Z #pragma omp for 2022-11-23T01:30:36.3343892Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:36.3343956Z { 2022-11-23T01:30:36.3344006Z { 2022-11-23T01:30:36.3344074Z { 2022-11-23T01:30:36.3344169Z auto tmp0 = in_ptr0[2*i0]; 2022-11-23T01:30:36.3344262Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.3344354Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3344439Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.3344504Z } 2022-11-23T01:30:36.3344554Z } 2022-11-23T01:30:36.3344618Z } 2022-11-23T01:30:36.3344680Z } 2022-11-23T01:30:36.3344741Z } 2022-11-23T01:30:36.3344819Z ''') 2022-11-23T01:30:36.3344824Z 2022-11-23T01:30:36.3344828Z 2022-11-23T01:30:36.3344917Z async_compile.wait(globals()) 2022-11-23T01:30:36.3344991Z del async_compile 2022-11-23T01:30:36.3344995Z 2022-11-23T01:30:36.3345066Z def call(args): 2022-11-23T01:30:36.3345129Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.3345200Z args.clear() 2022-11-23T01:30:36.3345397Z buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3345563Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3345636Z del arg0_1 2022-11-23T01:30:36.3345705Z del arg1_1 2022-11-23T01:30:36.3345765Z return (buf0, ) 2022-11-23T01:30:36.3345784Z 2022-11-23T01:30:36.3345788Z 2022-11-23T01:30:36.3345851Z if __name__ == "__main__": 2022-11-23T01:30:36.3345965Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3346088Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3346287Z arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3346483Z arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3346599Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.3346604Z 2022-11-23T01:30:36.3346670Z ok (1.438s) 2022-11-23T01:30:36.3346968Z test_sum1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:54,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3347302Z [2022-11-23 01:27:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3347525Z [2022-11-23 01:27:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3347779Z [2022-11-23 01:27:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3348058Z [2022-11-23 01:27:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3348378Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3348725Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3349093Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3349465Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3349560Z 726 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3349650Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3349711Z 4 BINARY_ADD 2022-11-23T01:30:36.3349807Z 6 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3349941Z 8 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.3350029Z 10 CALL_METHOD 1 2022-11-23T01:30:36.3350117Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.3350193Z 14 RETURN_VALUE 2022-11-23T01:30:36.3350256Z 2022-11-23T01:30:36.3350261Z 2022-11-23T01:30:36.3350560Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:726 2022-11-23T01:30:36.3350768Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3351004Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.3351277Z [2022-11-23 01:27:54,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3351515Z [2022-11-23 01:27:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3351791Z [2022-11-23 01:27:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3352106Z [2022-11-23 01:27:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3352349Z [2022-11-23 01:27:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.3352594Z [2022-11-23 01:27:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3352975Z [2022-11-23 01:27:54,359] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3353206Z [2022-11-23 01:27:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3353440Z [2022-11-23 01:27:54,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3353692Z [2022-11-23 01:27:54,360] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3353942Z [2022-11-23 01:27:54,363] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3354155Z [2022-11-23 01:27:54,364] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3354293Z __compiled_fn_385 .3124 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3354382Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3354468Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3354635Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.3354765Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:30:36.3354860Z output, output, output, ((sum_1,),), {} 2022-11-23T01:30:36.3354865Z 2022-11-23T01:30:36.3355190Z [2022-11-23 01:27:54,364] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3355284Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3355411Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3355499Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3355592Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3355666Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3355755Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3355832Z 12 RETURN_VALUE 2022-11-23T01:30:36.3355836Z 2022-11-23T01:30:36.3355897Z 2022-11-23T01:30:36.3356220Z [2022-11-23 01:27:54,364] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3356331Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_385) 2022-11-23T01:30:36.3356419Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3356509Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3356573Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3356660Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3356749Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3356835Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3356958Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.3357100Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3357232Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3357308Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3357384Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3357475Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.3357551Z 26 RETURN_VALUE 2022-11-23T01:30:36.3357556Z 2022-11-23T01:30:36.3357618Z 2022-11-23T01:30:36.3357807Z [2022-11-23 01:27:54,365] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3357878Z - 2022-11-23T01:30:36.3357984Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3358049Z { 2022-11-23T01:30:36.3358188Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3358376Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3358499Z 'obj_weakref': None 2022-11-23T01:30:36.3358726Z 'guarded_class': 2022-11-23T01:30:36.3358790Z } 2022-11-23T01:30:36.3358843Z 2022-11-23T01:30:36.3358912Z - 2022-11-23T01:30:36.3359033Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3359098Z { 2022-11-23T01:30:36.3359240Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3359347Z 'code': None, 2022-11-23T01:30:36.3359557Z 'obj_weakref': 2022-11-23T01:30:36.3359795Z 'guarded_class': 2022-11-23T01:30:36.3359863Z } 2022-11-23T01:30:36.3359926Z 2022-11-23T01:30:36.3360069Z - 2022-11-23T01:30:36.3360197Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3360261Z { 2022-11-23T01:30:36.3360450Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3360546Z 'code': None, 2022-11-23T01:30:36.3360754Z 'obj_weakref': 2022-11-23T01:30:36.3361005Z 'guarded_class': 2022-11-23T01:30:36.3361070Z } 2022-11-23T01:30:36.3361138Z 2022-11-23T01:30:36.3361210Z - 2022-11-23T01:30:36.3361340Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3361392Z { 2022-11-23T01:30:36.3361537Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3361702Z 'code': ['___check_obj_id(model, 140534431024464)'], 2022-11-23T01:30:36.3361820Z 'obj_weakref': None 2022-11-23T01:30:36.3362089Z 'guarded_class': 2022-11-23T01:30:36.3362141Z } 2022-11-23T01:30:36.3362202Z 2022-11-23T01:30:36.3362271Z - 2022-11-23T01:30:36.3362391Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3362453Z { 2022-11-23T01:30:36.3362586Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3362786Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3362904Z 'obj_weakref': None 2022-11-23T01:30:36.3363122Z 'guarded_class': 2022-11-23T01:30:36.3363184Z } 2022-11-23T01:30:36.3363247Z 2022-11-23T01:30:36.3363501Z [2022-11-23 01:27:54,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377 2022-11-23T01:30:36.3363873Z [2022-11-23 01:27:55,814] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sv/csvbkn77rlvpautntgbjzps4ddus5psx3zie76fonf5yq6uxwqj6.py 2022-11-23T01:30:36.3364142Z [2022-11-23 01:27:55,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377 2022-11-23T01:30:36.3364149Z 2022-11-23T01:30:36.3364242Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3364299Z import torch 2022-11-23T01:30:36.3364368Z import random 2022-11-23T01:30:36.3364483Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3364603Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3364608Z 2022-11-23T01:30:36.3364685Z aten = torch.ops.aten 2022-11-23T01:30:36.3364940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3365033Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3365038Z 2022-11-23T01:30:36.3365042Z 2022-11-23T01:30:36.3365163Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3365365Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3365487Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3365592Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3365692Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3365754Z { 2022-11-23T01:30:36.3365850Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3365912Z { 2022-11-23T01:30:36.3365975Z #pragma omp for 2022-11-23T01:30:36.3366057Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.3366122Z { 2022-11-23T01:30:36.3366187Z { 2022-11-23T01:30:36.3366381Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3366459Z float tmp3 = 0; 2022-11-23T01:30:36.3366579Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.3366655Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3366723Z { 2022-11-23T01:30:36.3366863Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3367054Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3367149Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3367231Z tmp3_vec += tmp2; 2022-11-23T01:30:36.3367295Z } 2022-11-23T01:30:36.3367489Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:36.3367596Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:36.3367686Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3367751Z { 2022-11-23T01:30:36.3367850Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3367945Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:36.3368072Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3368149Z tmp3 += tmp2; 2022-11-23T01:30:36.3368202Z } 2022-11-23T01:30:36.3368282Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.3368345Z } 2022-11-23T01:30:36.3368408Z } 2022-11-23T01:30:36.3368469Z } 2022-11-23T01:30:36.3368527Z } 2022-11-23T01:30:36.3368605Z ''') 2022-11-23T01:30:36.3368609Z 2022-11-23T01:30:36.3368613Z 2022-11-23T01:30:36.3368689Z async_compile.wait(globals()) 2022-11-23T01:30:36.3368761Z del async_compile 2022-11-23T01:30:36.3368767Z 2022-11-23T01:30:36.3368838Z def call(args): 2022-11-23T01:30:36.3368912Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.3368981Z args.clear() 2022-11-23T01:30:36.3369174Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3369336Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3369406Z del arg0_1 2022-11-23T01:30:36.3369461Z del arg1_1 2022-11-23T01:30:36.3369533Z return (buf0, ) 2022-11-23T01:30:36.3369537Z 2022-11-23T01:30:36.3369544Z 2022-11-23T01:30:36.3369619Z if __name__ == "__main__": 2022-11-23T01:30:36.3369733Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3369853Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3370048Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3370241Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3370341Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.3370359Z 2022-11-23T01:30:36.3370412Z ok (1.463s) 2022-11-23T01:30:36.3370710Z test_sum2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3371028Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3371251Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3371503Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3371780Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3372098Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3372444Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3372765Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3373158Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3373255Z 732 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3373346Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3373421Z 4 BINARY_ADD 2022-11-23T01:30:36.3373515Z 6 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3373603Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:36.3373690Z 10 LOAD_CONST 2 (2) 2022-11-23T01:30:36.3373776Z 12 BUILD_LIST 2 2022-11-23T01:30:36.3373849Z 14 CALL_METHOD 1 2022-11-23T01:30:36.3373935Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3374024Z 18 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3374127Z 20 BINARY_ADD 2022-11-23T01:30:36.3374221Z 22 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3374359Z 24 LOAD_CONST 3 (-1) 2022-11-23T01:30:36.3374445Z 26 CALL_METHOD 1 2022-11-23T01:30:36.3374518Z 28 BUILD_TUPLE 2 2022-11-23T01:30:36.3374593Z 30 RETURN_VALUE 2022-11-23T01:30:36.3374653Z 2022-11-23T01:30:36.3374658Z 2022-11-23T01:30:36.3374978Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:732 2022-11-23T01:30:36.3375185Z [2022-11-23 01:27:55,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3375424Z [2022-11-23 01:27:55,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.3375697Z [2022-11-23 01:27:55,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3375937Z [2022-11-23 01:27:55,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3376197Z [2022-11-23 01:27:55,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3376507Z [2022-11-23 01:27:55,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3376854Z [2022-11-23 01:27:55,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3377154Z [2022-11-23 01:27:55,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()] 2022-11-23T01:30:36.3377393Z [2022-11-23 01:27:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:30:36.3377656Z [2022-11-23 01:27:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3377956Z [2022-11-23 01:27:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3378222Z [2022-11-23 01:27:55,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3378525Z [2022-11-23 01:27:55,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3378867Z [2022-11-23 01:27:55,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3379134Z [2022-11-23 01:27:55,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3379367Z [2022-11-23 01:27:55,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3379777Z [2022-11-23 01:27:55,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3380026Z [2022-11-23 01:27:55,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3380260Z [2022-11-23 01:27:55,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3380514Z [2022-11-23 01:27:55,826] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3380761Z [2022-11-23 01:27:55,830] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3380951Z [2022-11-23 01:27:55,830] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3381083Z __compiled_fn_386 .3130 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3381205Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3381278Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3381460Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.3381556Z call_method, sum_1, sum, (add, [1, 2]), {} 2022-11-23T01:30:36.3381734Z call_function, add_1, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.3381867Z call_method, sum_2, sum, (add_1, -1), {} 2022-11-23T01:30:36.3381973Z output, output, output, ((sum_1, sum_2),), {} 2022-11-23T01:30:36.3381977Z 2022-11-23T01:30:36.3382302Z [2022-11-23 01:27:55,831] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3382396Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3382473Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3382560Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3382654Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3382742Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3382832Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3382908Z 12 RETURN_VALUE 2022-11-23T01:30:36.3382913Z 2022-11-23T01:30:36.3382975Z 2022-11-23T01:30:36.3383284Z [2022-11-23 01:27:55,831] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3383394Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_386) 2022-11-23T01:30:36.3383482Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3383574Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3383652Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3383740Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3383825Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3383901Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3383979Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.3384080Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3384185Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3384276Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3384351Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3384450Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3384539Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3384602Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3384689Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.3384764Z 32 RETURN_VALUE 2022-11-23T01:30:36.3384768Z 2022-11-23T01:30:36.3384829Z 2022-11-23T01:30:36.3385013Z [2022-11-23 01:27:55,832] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3385081Z - 2022-11-23T01:30:36.3385198Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3385252Z { 2022-11-23T01:30:36.3385391Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3385635Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3385756Z 'obj_weakref': None 2022-11-23T01:30:36.3385981Z 'guarded_class': 2022-11-23T01:30:36.3386047Z } 2022-11-23T01:30:36.3386109Z 2022-11-23T01:30:36.3386165Z - 2022-11-23T01:30:36.3386290Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3386352Z { 2022-11-23T01:30:36.3386493Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3386599Z 'code': None, 2022-11-23T01:30:36.3386811Z 'obj_weakref': 2022-11-23T01:30:36.3387061Z 'guarded_class': 2022-11-23T01:30:36.3387142Z } 2022-11-23T01:30:36.3387206Z 2022-11-23T01:30:36.3387273Z - 2022-11-23T01:30:36.3387396Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3387459Z { 2022-11-23T01:30:36.3387599Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3387703Z 'code': None, 2022-11-23T01:30:36.3387902Z 'obj_weakref': 2022-11-23T01:30:36.3388152Z 'guarded_class': 2022-11-23T01:30:36.3388215Z } 2022-11-23T01:30:36.3388278Z 2022-11-23T01:30:36.3388344Z - 2022-11-23T01:30:36.3388472Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3388534Z { 2022-11-23T01:30:36.3388653Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3388819Z 'code': ['___check_obj_id(model, 140534428304432)'], 2022-11-23T01:30:36.3388940Z 'obj_weakref': None 2022-11-23T01:30:36.3389172Z 'guarded_class': 2022-11-23T01:30:36.3389235Z } 2022-11-23T01:30:36.3389297Z 2022-11-23T01:30:36.3389363Z - 2022-11-23T01:30:36.3389470Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3389533Z { 2022-11-23T01:30:36.3389666Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3389881Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3389997Z 'obj_weakref': None 2022-11-23T01:30:36.3390222Z 'guarded_class': 2022-11-23T01:30:36.3390285Z } 2022-11-23T01:30:36.3390335Z 2022-11-23T01:30:36.3390596Z [2022-11-23 01:27:55,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378 2022-11-23T01:30:36.3390960Z [2022-11-23 01:27:57,346] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cph574btrr37yuk4z772nqergoudzb2owzj6qyf6vr73dok5lany.py 2022-11-23T01:30:36.3391225Z [2022-11-23 01:27:57,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378 2022-11-23T01:30:36.3391231Z 2022-11-23T01:30:36.3391322Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3391390Z import torch 2022-11-23T01:30:36.3391458Z import random 2022-11-23T01:30:36.3391572Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3391681Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3391699Z 2022-11-23T01:30:36.3391765Z aten = torch.ops.aten 2022-11-23T01:30:36.3391897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3391988Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3391993Z 2022-11-23T01:30:36.3392000Z 2022-11-23T01:30:36.3392134Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3392338Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3392483Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3392588Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3392675Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3392771Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.3392830Z { 2022-11-23T01:30:36.3392926Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3392990Z { 2022-11-23T01:30:36.3393065Z #pragma omp for 2022-11-23T01:30:36.3393146Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.3393195Z { 2022-11-23T01:30:36.3393276Z #pragma GCC ivdep 2022-11-23T01:30:36.3393361Z for(long i1=0; i1<21; i1+=1) 2022-11-23T01:30:36.3393424Z { 2022-11-23T01:30:36.3393526Z { 2022-11-23T01:30:36.3393592Z { 2022-11-23T01:30:36.3393672Z float tmp3 = 0; 2022-11-23T01:30:36.3393755Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:30:36.3393823Z { 2022-11-23T01:30:36.3393892Z { 2022-11-23T01:30:36.3394004Z auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)]; 2022-11-23T01:30:36.3394113Z auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)]; 2022-11-23T01:30:36.3394211Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3394295Z tmp3 += tmp2; 2022-11-23T01:30:36.3394352Z } 2022-11-23T01:30:36.3394420Z } 2022-11-23T01:30:36.3394513Z out_ptr0[i1 + (21*i0)] = tmp3; 2022-11-23T01:30:36.3394579Z } 2022-11-23T01:30:36.3394639Z } 2022-11-23T01:30:36.3394703Z } 2022-11-23T01:30:36.3394764Z } 2022-11-23T01:30:36.3394828Z #pragma omp for 2022-11-23T01:30:36.3394908Z for(long i0=0; i0<216; i0+=1) 2022-11-23T01:30:36.3394971Z { 2022-11-23T01:30:36.3395034Z { 2022-11-23T01:30:36.3395227Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3395304Z float tmp3 = 0; 2022-11-23T01:30:36.3395423Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.3395500Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:36.3395565Z { 2022-11-23T01:30:36.3395704Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (21*i0)); 2022-11-23T01:30:36.3395843Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (21*i0)); 2022-11-23T01:30:36.3395934Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3396016Z tmp3_vec += tmp2; 2022-11-23T01:30:36.3396078Z } 2022-11-23T01:30:36.3396276Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:36.3396382Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:36.3396471Z for(long i1=16; i1<21; i1+=1) 2022-11-23T01:30:36.3396534Z { 2022-11-23T01:30:36.3396631Z auto tmp0 = in_ptr0[i1 + (21*i0)]; 2022-11-23T01:30:36.3396727Z auto tmp1 = in_ptr1[i1 + (21*i0)]; 2022-11-23T01:30:36.3396817Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3396896Z tmp3 += tmp2; 2022-11-23T01:30:36.3396947Z } 2022-11-23T01:30:36.3397026Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:36.3397088Z } 2022-11-23T01:30:36.3397149Z } 2022-11-23T01:30:36.3397212Z } 2022-11-23T01:30:36.3397270Z } 2022-11-23T01:30:36.3397348Z ''') 2022-11-23T01:30:36.3397353Z 2022-11-23T01:30:36.3397357Z 2022-11-23T01:30:36.3397432Z async_compile.wait(globals()) 2022-11-23T01:30:36.3397531Z del async_compile 2022-11-23T01:30:36.3397537Z 2022-11-23T01:30:36.3397607Z def call(args): 2022-11-23T01:30:36.3397681Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.3397750Z args.clear() 2022-11-23T01:30:36.3397948Z buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3398150Z buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3398339Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.3398394Z del arg0_1 2022-11-23T01:30:36.3398460Z del arg1_1 2022-11-23T01:30:36.3398536Z return (buf0, buf1, ) 2022-11-23T01:30:36.3398541Z 2022-11-23T01:30:36.3398545Z 2022-11-23T01:30:36.3398649Z if __name__ == "__main__": 2022-11-23T01:30:36.3398760Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3398881Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3399096Z arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3399305Z arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3399407Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.3399412Z 2022-11-23T01:30:36.3399478Z ok (1.533s) 2022-11-23T01:30:36.3399775Z test_sum3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3400184Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3400403Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3400658Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3400938Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3401257Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3401604Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3401924Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3402286Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3402383Z 738 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3402475Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3402548Z 4 BINARY_ADD 2022-11-23T01:30:36.3402639Z 6 STORE_FAST 2 (r1) 2022-11-23T01:30:36.3402644Z 2022-11-23T01:30:36.3402731Z 739 8 LOAD_FAST 2 (r1) 2022-11-23T01:30:36.3402825Z 10 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3402958Z 12 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.3403033Z 14 CALL_METHOD 1 2022-11-23T01:30:36.3403122Z 16 STORE_FAST 3 (r2) 2022-11-23T01:30:36.3403126Z 2022-11-23T01:30:36.3403219Z 740 18 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:36.3403313Z 20 LOAD_METHOD 2 (squeeze) 2022-11-23T01:30:36.3403404Z 22 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3403487Z 24 CALL_METHOD 1 2022-11-23T01:30:36.3403574Z 26 LOAD_CONST 2 (10) 2022-11-23T01:30:36.3403665Z 28 BINARY_ADD 2022-11-23T01:30:36.3403756Z 30 STORE_FAST 4 (r3) 2022-11-23T01:30:36.3403761Z 2022-11-23T01:30:36.3403846Z 741 32 LOAD_FAST 2 (r1) 2022-11-23T01:30:36.3403931Z 34 LOAD_FAST 3 (r2) 2022-11-23T01:30:36.3404016Z 36 LOAD_FAST 4 (r3) 2022-11-23T01:30:36.3404104Z 38 BUILD_TUPLE 3 2022-11-23T01:30:36.3404178Z 40 RETURN_VALUE 2022-11-23T01:30:36.3404225Z 2022-11-23T01:30:36.3404242Z 2022-11-23T01:30:36.3404545Z [2022-11-23 01:27:57,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:738 2022-11-23T01:30:36.3404865Z [2022-11-23 01:27:57,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3405158Z [2022-11-23 01:27:57,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.3405435Z [2022-11-23 01:27:57,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3405675Z [2022-11-23 01:27:57,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()] 2022-11-23T01:30:36.3405985Z [2022-11-23 01:27:57,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:739 2022-11-23T01:30:36.3406196Z [2022-11-23 01:27:57,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 [] 2022-11-23T01:30:36.3406434Z [2022-11-23 01:27:57,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3406709Z [2022-11-23 01:27:57,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3407016Z [2022-11-23 01:27:57,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3407255Z [2022-11-23 01:27:57,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()] 2022-11-23T01:30:36.3407563Z [2022-11-23 01:27:57,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:740 2022-11-23T01:30:36.3407782Z [2022-11-23 01:27:57,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3408150Z [2022-11-23 01:27:57,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable()] 2022-11-23T01:30:36.3408477Z [2022-11-23 01:27:57,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable()] 2022-11-23T01:30:36.3408839Z [2022-11-23 01:27:57,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3409077Z [2022-11-23 01:27:57,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()] 2022-11-23T01:30:36.3409358Z [2022-11-23 01:27:57,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3409592Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()] 2022-11-23T01:30:36.3409902Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:741 2022-11-23T01:30:36.3410098Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 [] 2022-11-23T01:30:36.3410334Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()] 2022-11-23T01:30:36.3410636Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3410935Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3411182Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3411559Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3411802Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3412035Z [2022-11-23 01:27:57,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3412317Z [2022-11-23 01:27:57,360] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3412553Z [2022-11-23 01:27:57,363] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3412742Z [2022-11-23 01:27:57,364] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3412875Z __compiled_fn_387 .3136 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3412966Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3413051Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3413227Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.3413356Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:30:36.3413588Z call_function, squeeze, , (ex_1_,), {} 2022-11-23T01:30:36.3413756Z call_function, add_1, , (squeeze, 10), {} 2022-11-23T01:30:36.3413868Z output, output, output, ((add, sum_1, add_1),), {} 2022-11-23T01:30:36.3413874Z 2022-11-23T01:30:36.3414198Z [2022-11-23 01:27:57,364] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3414292Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3414381Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3414467Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3414558Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3414643Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3414718Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3414793Z 12 RETURN_VALUE 2022-11-23T01:30:36.3414798Z 2022-11-23T01:30:36.3414859Z 2022-11-23T01:30:36.3415178Z [2022-11-23 01:27:57,364] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3415286Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_387) 2022-11-23T01:30:36.3415375Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3415467Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3415542Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3415619Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3415705Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3415781Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3415870Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.3415973Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3416075Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3416162Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3416224Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3416325Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3416415Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3416489Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3416589Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3416702Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3416779Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.3416853Z 36 BUILD_TUPLE 3 2022-11-23T01:30:36.3416928Z 38 RETURN_VALUE 2022-11-23T01:30:36.3416932Z 2022-11-23T01:30:36.3416994Z 2022-11-23T01:30:36.3417178Z [2022-11-23 01:27:57,365] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3417247Z - 2022-11-23T01:30:36.3417365Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3417429Z { 2022-11-23T01:30:36.3417554Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3417739Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3417863Z 'obj_weakref': None 2022-11-23T01:30:36.3418119Z 'guarded_class': 2022-11-23T01:30:36.3418184Z } 2022-11-23T01:30:36.3418246Z 2022-11-23T01:30:36.3418316Z - 2022-11-23T01:30:36.3418428Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3418492Z { 2022-11-23T01:30:36.3418638Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3418747Z 'code': None, 2022-11-23T01:30:36.3418959Z 'obj_weakref': 2022-11-23T01:30:36.3419212Z 'guarded_class': 2022-11-23T01:30:36.3419276Z } 2022-11-23T01:30:36.3419327Z 2022-11-23T01:30:36.3419398Z - 2022-11-23T01:30:36.3419519Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3419585Z { 2022-11-23T01:30:36.3419726Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3419837Z 'code': None, 2022-11-23T01:30:36.3420049Z 'obj_weakref': 2022-11-23T01:30:36.3420286Z 'guarded_class': 2022-11-23T01:30:36.3420350Z } 2022-11-23T01:30:36.3420413Z 2022-11-23T01:30:36.3420481Z - 2022-11-23T01:30:36.3420612Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3420675Z { 2022-11-23T01:30:36.3420808Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3420966Z 'code': ['___check_obj_id(model, 140534418255024)'], 2022-11-23T01:30:36.3421087Z 'obj_weakref': None 2022-11-23T01:30:36.3421318Z 'guarded_class': 2022-11-23T01:30:36.3421381Z } 2022-11-23T01:30:36.3421446Z 2022-11-23T01:30:36.3421513Z - 2022-11-23T01:30:36.3421634Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3421685Z { 2022-11-23T01:30:36.3421822Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3422039Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3422159Z 'obj_weakref': None 2022-11-23T01:30:36.3422381Z 'guarded_class': 2022-11-23T01:30:36.3422445Z } 2022-11-23T01:30:36.3422507Z 2022-11-23T01:30:36.3422564Z - 2022-11-23T01:30:36.3422698Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3422762Z { 2022-11-23T01:30:36.3422879Z 'guard_types': None, 2022-11-23T01:30:36.3422985Z 'code': None, 2022-11-23T01:30:36.3423102Z 'obj_weakref': None 2022-11-23T01:30:36.3423223Z 'guarded_class': None 2022-11-23T01:30:36.3423275Z } 2022-11-23T01:30:36.3423338Z 2022-11-23T01:30:36.3423630Z [2022-11-23 01:27:57,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379 2022-11-23T01:30:36.3424006Z [2022-11-23 01:27:58,821] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3mnvqeht3zyltghtqwshq4dfcly5xjw67m5lastsreabtr6cb57.py 2022-11-23T01:30:36.3424269Z [2022-11-23 01:27:58,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379 2022-11-23T01:30:36.3424274Z 2022-11-23T01:30:36.3424367Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3424436Z import torch 2022-11-23T01:30:36.3424506Z import random 2022-11-23T01:30:36.3424608Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3424728Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3424733Z 2022-11-23T01:30:36.3424810Z aten = torch.ops.aten 2022-11-23T01:30:36.3424973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3425064Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3425069Z 2022-11-23T01:30:36.3425073Z 2022-11-23T01:30:36.3425207Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3425411Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3425531Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3425620Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3425718Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3425814Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.3425908Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.3425967Z { 2022-11-23T01:30:36.3426065Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3426127Z { 2022-11-23T01:30:36.3426190Z #pragma omp for 2022-11-23T01:30:36.3426271Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.3426335Z { 2022-11-23T01:30:36.3426397Z { 2022-11-23T01:30:36.3426590Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3426667Z float tmp3 = 0; 2022-11-23T01:30:36.3426787Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.3426863Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3426928Z { 2022-11-23T01:30:36.3427069Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.3427201Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:30:36.3427292Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3427394Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.3427475Z tmp3_vec += tmp2; 2022-11-23T01:30:36.3427543Z } 2022-11-23T01:30:36.3427726Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:36.3427849Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:36.3427938Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.3428002Z { 2022-11-23T01:30:36.3428099Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.3428188Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.3428276Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3428366Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.3428432Z tmp3 += tmp2; 2022-11-23T01:30:36.3428494Z } 2022-11-23T01:30:36.3428576Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:36.3428640Z } 2022-11-23T01:30:36.3428700Z } 2022-11-23T01:30:36.3428776Z #pragma omp for 2022-11-23T01:30:36.3428846Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.3428907Z { 2022-11-23T01:30:36.3429065Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.3429200Z auto tmp1 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:30:36.3429283Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3429373Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.3429434Z } 2022-11-23T01:30:36.3429515Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3429595Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.3429656Z { 2022-11-23T01:30:36.3429740Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.3429839Z auto tmp1 = static_cast(10); 2022-11-23T01:30:36.3429921Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3429998Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:36.3430047Z } 2022-11-23T01:30:36.3430107Z } 2022-11-23T01:30:36.3430198Z } 2022-11-23T01:30:36.3430278Z ''') 2022-11-23T01:30:36.3430282Z 2022-11-23T01:30:36.3430287Z 2022-11-23T01:30:36.3430375Z async_compile.wait(globals()) 2022-11-23T01:30:36.3430449Z del async_compile 2022-11-23T01:30:36.3430455Z 2022-11-23T01:30:36.3430523Z def call(args): 2022-11-23T01:30:36.3430596Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.3430655Z args.clear() 2022-11-23T01:30:36.3430854Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3431046Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3431236Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3431451Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.3431519Z del arg0_1 2022-11-23T01:30:36.3431584Z del arg1_1 2022-11-23T01:30:36.3431655Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.3431660Z 2022-11-23T01:30:36.3431676Z 2022-11-23T01:30:36.3431738Z if __name__ == "__main__": 2022-11-23T01:30:36.3431854Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3431978Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3432175Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3432368Z arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3432481Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.3432486Z 2022-11-23T01:30:36.3432551Z ok (1.474s) 2022-11-23T01:30:36.3432838Z test_sum4_cpu (__main__.CpuTests) ... [2022-11-23 01:27:58,826] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3433155Z [2022-11-23 01:27:58,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3433379Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3433632Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3433911Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3434230Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3434573Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3434896Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3435267Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3435386Z 750 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3435465Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.3435539Z 4 BINARY_ADD 2022-11-23T01:30:36.3435628Z 6 STORE_FAST 1 (b) 2022-11-23T01:30:36.3435632Z 2022-11-23T01:30:36.3435718Z 751 8 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3435810Z 10 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3435945Z 12 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3436032Z 14 CALL_METHOD 1 2022-11-23T01:30:36.3436121Z 16 STORE_FAST 2 (c) 2022-11-23T01:30:36.3436126Z 2022-11-23T01:30:36.3436200Z 752 18 LOAD_FAST 2 (c) 2022-11-23T01:30:36.3436283Z 20 LOAD_CONST 3 (3) 2022-11-23T01:30:36.3436397Z 22 BINARY_ADD 2022-11-23T01:30:36.3436482Z 24 STORE_FAST 3 (d) 2022-11-23T01:30:36.3436486Z 2022-11-23T01:30:36.3436573Z 753 26 LOAD_FAST 3 (d) 2022-11-23T01:30:36.3436664Z 28 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3436799Z 30 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3436885Z 32 CALL_METHOD 1 2022-11-23T01:30:36.3436959Z 34 STORE_FAST 4 (e) 2022-11-23T01:30:36.3436963Z 2022-11-23T01:30:36.3437049Z 754 36 LOAD_FAST 4 (e) 2022-11-23T01:30:36.3437134Z 38 LOAD_CONST 4 (5) 2022-11-23T01:30:36.3437206Z 40 BINARY_ADD 2022-11-23T01:30:36.3437291Z 42 STORE_FAST 5 (f) 2022-11-23T01:30:36.3437295Z 2022-11-23T01:30:36.3437378Z 755 44 LOAD_FAST 5 (f) 2022-11-23T01:30:36.3437463Z 46 LOAD_FAST 4 (e) 2022-11-23T01:30:36.3437534Z 48 LOAD_FAST 3 (d) 2022-11-23T01:30:36.3437617Z 50 LOAD_FAST 2 (c) 2022-11-23T01:30:36.3437703Z 52 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3437790Z 54 BUILD_TUPLE 5 2022-11-23T01:30:36.3437866Z 56 RETURN_VALUE 2022-11-23T01:30:36.3437927Z 2022-11-23T01:30:36.3437932Z 2022-11-23T01:30:36.3438247Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:750 2022-11-23T01:30:36.3438456Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3438683Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.3438963Z [2022-11-23 01:27:58,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3439197Z [2022-11-23 01:27:58,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:36.3439511Z [2022-11-23 01:27:58,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:751 2022-11-23T01:30:36.3439718Z [2022-11-23 01:27:58,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [] 2022-11-23T01:30:36.3439956Z [2022-11-23 01:27:58,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3440326Z [2022-11-23 01:27:58,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3440642Z [2022-11-23 01:27:58,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3440875Z [2022-11-23 01:27:58,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:36.3441219Z [2022-11-23 01:27:58,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:752 2022-11-23T01:30:36.3441413Z [2022-11-23 01:27:58,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [] 2022-11-23T01:30:36.3441652Z [2022-11-23 01:27:58,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()] 2022-11-23T01:30:36.3441929Z [2022-11-23 01:27:58,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3442161Z [2022-11-23 01:27:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:30:36.3442469Z [2022-11-23 01:27:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:753 2022-11-23T01:30:36.3442677Z [2022-11-23 01:27:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [] 2022-11-23T01:30:36.3442943Z [2022-11-23 01:27:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3443219Z [2022-11-23 01:27:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3443534Z [2022-11-23 01:27:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3443755Z [2022-11-23 01:27:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()] 2022-11-23T01:30:36.3444063Z [2022-11-23 01:27:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:754 2022-11-23T01:30:36.3444267Z [2022-11-23 01:27:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [] 2022-11-23T01:30:36.3444499Z [2022-11-23 01:27:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()] 2022-11-23T01:30:36.3444893Z [2022-11-23 01:27:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3445131Z [2022-11-23 01:27:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()] 2022-11-23T01:30:36.3445444Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:755 2022-11-23T01:30:36.3445649Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [] 2022-11-23T01:30:36.3445883Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()] 2022-11-23T01:30:36.3446144Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3446424Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3446746Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3447096Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3447340Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3447718Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3447960Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3448190Z [2022-11-23 01:27:58,833] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3448444Z [2022-11-23 01:27:58,834] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3448738Z [2022-11-23 01:27:58,838] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3448927Z [2022-11-23 01:27:58,839] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3449047Z __compiled_fn_388 .3142 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3449137Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3449307Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.3449438Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:30:36.3449611Z call_function, add_1, , (sum_1, 3), {} 2022-11-23T01:30:36.3449745Z call_method, sum_2, sum, (add_1, -1), {} 2022-11-23T01:30:36.3449917Z call_function, add_2, , (sum_2, 5), {} 2022-11-23T01:30:36.3450059Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {} 2022-11-23T01:30:36.3450078Z 2022-11-23T01:30:36.3450394Z [2022-11-23 01:27:58,839] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3450489Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3450578Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3450664Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3450756Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3450840Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3450927Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3450989Z 12 RETURN_VALUE 2022-11-23T01:30:36.3450995Z 2022-11-23T01:30:36.3451055Z 2022-11-23T01:30:36.3451375Z [2022-11-23 01:27:58,839] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3451485Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_388) 2022-11-23T01:30:36.3451572Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3451662Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3451736Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3451823Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3451911Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3452010Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3452097Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3452172Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3452271Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3452357Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3452431Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3452516Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3452606Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3452681Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3452780Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3452866Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.3452938Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.3453034Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3453109Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.3453182Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.3453268Z 42 BUILD_TUPLE 5 2022-11-23T01:30:36.3453343Z 44 RETURN_VALUE 2022-11-23T01:30:36.3453347Z 2022-11-23T01:30:36.3453407Z 2022-11-23T01:30:36.3453588Z [2022-11-23 01:27:58,840] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3453656Z - 2022-11-23T01:30:36.3453760Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3453823Z { 2022-11-23T01:30:36.3453964Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3454150Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3454303Z 'obj_weakref': None 2022-11-23T01:30:36.3454686Z 'guarded_class': 2022-11-23T01:30:36.3454918Z } 2022-11-23T01:30:36.3455086Z 2022-11-23T01:30:36.3455260Z - 2022-11-23T01:30:36.3455461Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3455644Z { 2022-11-23T01:30:36.3455891Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3456120Z 'code': None, 2022-11-23T01:30:36.3456443Z 'obj_weakref': 2022-11-23T01:30:36.3456862Z 'guarded_class': 2022-11-23T01:30:36.3457125Z } 2022-11-23T01:30:36.3457308Z 2022-11-23T01:30:36.3457511Z - 2022-11-23T01:30:36.3457719Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3457914Z { 2022-11-23T01:30:36.3458143Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3458436Z 'code': ['___check_obj_id(model, 140534418255600)'], 2022-11-23T01:30:36.3458682Z 'obj_weakref': None 2022-11-23T01:30:36.3459035Z 'guarded_class': 2022-11-23T01:30:36.3459272Z } 2022-11-23T01:30:36.3459420Z 2022-11-23T01:30:36.3459583Z - 2022-11-23T01:30:36.3459794Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3459961Z { 2022-11-23T01:30:36.3460198Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3460537Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3460806Z 'obj_weakref': None 2022-11-23T01:30:36.3461141Z 'guarded_class': 2022-11-23T01:30:36.3461381Z } 2022-11-23T01:30:36.3461544Z 2022-11-23T01:30:36.3461889Z [2022-11-23 01:27:58,849] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380 2022-11-23T01:30:36.3462477Z [2022-11-23 01:28:00,496] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t7/ct7uleg6ysdqun7ojnlw6qer7yxvl4bquxwqtpaunpskdfk2mt2y.py 2022-11-23T01:30:36.3463016Z [2022-11-23 01:28:00,497] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380 2022-11-23T01:30:36.3463216Z 2022-11-23T01:30:36.3463300Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3463495Z import torch 2022-11-23T01:30:36.3463665Z import random 2022-11-23T01:30:36.3463866Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3464133Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3464286Z 2022-11-23T01:30:36.3464364Z aten = torch.ops.aten 2022-11-23T01:30:36.3464610Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3464846Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3464973Z 2022-11-23T01:30:36.3464978Z 2022-11-23T01:30:36.3465112Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3465445Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3465776Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3466019Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3466238Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.3466455Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.3466654Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.3466886Z float* __restrict__ out_ptr4) 2022-11-23T01:30:36.3467137Z { 2022-11-23T01:30:36.3467403Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3467654Z { 2022-11-23T01:30:36.3467899Z #pragma omp for 2022-11-23T01:30:36.3468145Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:36.3468386Z { 2022-11-23T01:30:36.3468647Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3468960Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.3469200Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3469410Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.3469583Z } 2022-11-23T01:30:36.3469770Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3469978Z for(long i0=1024; i0<1024; i0+=1) 2022-11-23T01:30:36.3470141Z { 2022-11-23T01:30:36.3470318Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3470530Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3470781Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3470963Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.3471144Z } 2022-11-23T01:30:36.3471314Z #pragma omp for 2022-11-23T01:30:36.3471491Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:30:36.3471668Z { 2022-11-23T01:30:36.3471822Z { 2022-11-23T01:30:36.3472094Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3472377Z float tmp1 = 0; 2022-11-23T01:30:36.3472611Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.3472831Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3473014Z { 2022-11-23T01:30:36.3473254Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3473487Z tmp1_vec += tmp0; 2022-11-23T01:30:36.3473668Z } 2022-11-23T01:30:36.3473962Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.3474289Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.3474508Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3474687Z { 2022-11-23T01:30:36.3474882Z auto tmp0 = out_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3475072Z tmp1 += tmp0; 2022-11-23T01:30:36.3475245Z } 2022-11-23T01:30:36.3475421Z out_ptr1[i0] = tmp1; 2022-11-23T01:30:36.3475587Z } 2022-11-23T01:30:36.3475744Z } 2022-11-23T01:30:36.3475909Z #pragma omp for 2022-11-23T01:30:36.3476085Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.3476260Z { 2022-11-23T01:30:36.3476483Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:36.3476771Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:36.3477018Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3477271Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.3477489Z } 2022-11-23T01:30:36.3477719Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3477941Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:30:36.3478132Z { 2022-11-23T01:30:36.3478326Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:36.3478541Z auto tmp1 = static_cast(3); 2022-11-23T01:30:36.3478755Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3478939Z out_ptr2[i0] = tmp2; 2022-11-23T01:30:36.3479112Z } 2022-11-23T01:30:36.3479278Z #pragma omp for 2022-11-23T01:30:36.3479453Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.3479626Z { 2022-11-23T01:30:36.3479779Z { 2022-11-23T01:30:36.3480148Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3480438Z float tmp1 = 0; 2022-11-23T01:30:36.3480724Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.3480964Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3481133Z { 2022-11-23T01:30:36.3481374Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3481622Z tmp1_vec += tmp0; 2022-11-23T01:30:36.3481791Z } 2022-11-23T01:30:36.3482083Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.3482414Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.3482636Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3482817Z { 2022-11-23T01:30:36.3483013Z auto tmp0 = out_ptr2[i1 + (8*i0)]; 2022-11-23T01:30:36.3483263Z tmp1 += tmp0; 2022-11-23T01:30:36.3483423Z } 2022-11-23T01:30:36.3483599Z out_ptr3[i0] = tmp1; 2022-11-23T01:30:36.3483780Z } 2022-11-23T01:30:36.3483924Z } 2022-11-23T01:30:36.3484094Z #pragma omp for 2022-11-23T01:30:36.3484287Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.3484452Z { 2022-11-23T01:30:36.3484681Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr3 + 8*i0); 2022-11-23T01:30:36.3485094Z auto tmp1 = at::vec::Vectorized(static_cast(5)); 2022-11-23T01:30:36.3485330Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3485546Z tmp2.store(out_ptr4 + 8*i0); 2022-11-23T01:30:36.3485731Z } 2022-11-23T01:30:36.3485911Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3486120Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.3486301Z { 2022-11-23T01:30:36.3486469Z auto tmp0 = out_ptr3[i0]; 2022-11-23T01:30:36.3486678Z auto tmp1 = static_cast(5); 2022-11-23T01:30:36.3486890Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3487074Z out_ptr4[i0] = tmp2; 2022-11-23T01:30:36.3487245Z } 2022-11-23T01:30:36.3487400Z } 2022-11-23T01:30:36.3487536Z } 2022-11-23T01:30:36.3487724Z ''') 2022-11-23T01:30:36.3487819Z 2022-11-23T01:30:36.3487824Z 2022-11-23T01:30:36.3487914Z async_compile.wait(globals()) 2022-11-23T01:30:36.3488115Z del async_compile 2022-11-23T01:30:36.3488210Z 2022-11-23T01:30:36.3488283Z def call(args): 2022-11-23T01:30:36.3488461Z arg0_1, = args 2022-11-23T01:30:36.3488636Z args.clear() 2022-11-23T01:30:36.3488951Z buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3489315Z buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3489671Z buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3490012Z buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3490361Z buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3490750Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:36.3491061Z del arg0_1 2022-11-23T01:30:36.3491241Z return (buf4, buf3, buf2, buf1, buf0, ) 2022-11-23T01:30:36.3491371Z 2022-11-23T01:30:36.3491375Z 2022-11-23T01:30:36.3491452Z if __name__ == "__main__": 2022-11-23T01:30:36.3491675Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3491927Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3492292Z arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3492559Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3492697Z 2022-11-23T01:30:36.3492764Z ok (1.676s) 2022-11-23T01:30:36.3493221Z test_sum5_cpu (__main__.CpuTests) ... [2022-11-23 01:28:00,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3493761Z [2022-11-23 01:28:00,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3494210Z [2022-11-23 01:28:00,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3494622Z [2022-11-23 01:28:00,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3495103Z [2022-11-23 01:28:00,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3495630Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3496259Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3496833Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3497431Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3497783Z 761 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3497996Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.3498174Z 4 BINARY_ADD 2022-11-23T01:30:36.3498378Z 6 STORE_FAST 1 (b) 2022-11-23T01:30:36.3498531Z 2022-11-23T01:30:36.3498655Z 762 8 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3498910Z 10 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3499156Z 12 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3499368Z 14 CALL_METHOD 1 2022-11-23T01:30:36.3499572Z 16 STORE_FAST 2 (c) 2022-11-23T01:30:36.3499677Z 2022-11-23T01:30:36.3499766Z 763 18 LOAD_FAST 2 (c) 2022-11-23T01:30:36.3499973Z 20 LOAD_CONST 3 (3) 2022-11-23T01:30:36.3500167Z 22 BINARY_ADD 2022-11-23T01:30:36.3500352Z 24 STORE_FAST 3 (d) 2022-11-23T01:30:36.3500470Z 2022-11-23T01:30:36.3500554Z 764 26 LOAD_FAST 3 (d) 2022-11-23T01:30:36.3500761Z 28 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3501007Z 30 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3501218Z 32 CALL_METHOD 1 2022-11-23T01:30:36.3501456Z 34 STORE_FAST 4 (e) 2022-11-23T01:30:36.3501578Z 2022-11-23T01:30:36.3501663Z 765 36 LOAD_FAST 4 (e) 2022-11-23T01:30:36.3501850Z 38 LOAD_CONST 4 (5) 2022-11-23T01:30:36.3502034Z 40 BINARY_ADD 2022-11-23T01:30:36.3502226Z 42 STORE_FAST 5 (f) 2022-11-23T01:30:36.3502347Z 2022-11-23T01:30:36.3502419Z 766 44 LOAD_FAST 5 (f) 2022-11-23T01:30:36.3502615Z 46 BUILD_TUPLE 1 2022-11-23T01:30:36.3502806Z 48 RETURN_VALUE 2022-11-23T01:30:36.3502961Z 2022-11-23T01:30:36.3503051Z 2022-11-23T01:30:36.3503373Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:761 2022-11-23T01:30:36.3503808Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.3504215Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.3504669Z [2022-11-23 01:28:00,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3505153Z [2022-11-23 01:28:00,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:30:36.3505652Z [2022-11-23 01:28:00,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:762 2022-11-23T01:30:36.3506089Z [2022-11-23 01:28:00,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [] 2022-11-23T01:30:36.3506482Z [2022-11-23 01:28:00,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3506939Z [2022-11-23 01:28:00,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3507462Z [2022-11-23 01:28:00,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3508005Z [2022-11-23 01:28:00,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:30:36.3508494Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:763 2022-11-23T01:30:36.3508932Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [] 2022-11-23T01:30:36.3509339Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()] 2022-11-23T01:30:36.3509805Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3510233Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:30:36.3510726Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:764 2022-11-23T01:30:36.3511158Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [] 2022-11-23T01:30:36.3511557Z [2022-11-23 01:28:00,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:30:36.3512018Z [2022-11-23 01:28:00,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3512539Z [2022-11-23 01:28:00,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3513000Z [2022-11-23 01:28:00,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()] 2022-11-23T01:30:36.3513478Z [2022-11-23 01:28:00,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:765 2022-11-23T01:30:36.3513908Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [] 2022-11-23T01:30:36.3514309Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()] 2022-11-23T01:30:36.3514764Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3515191Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()] 2022-11-23T01:30:36.3515680Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:766 2022-11-23T01:30:36.3516112Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [] 2022-11-23T01:30:36.3516515Z [2022-11-23 01:28:00,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.3516934Z [2022-11-23 01:28:00,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3517532Z [2022-11-23 01:28:00,509] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3518043Z [2022-11-23 01:28:00,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3518462Z [2022-11-23 01:28:00,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3518877Z [2022-11-23 01:28:00,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3519321Z [2022-11-23 01:28:00,514] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3519695Z [2022-11-23 01:28:00,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3520054Z __compiled_fn_389 .3148 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3520334Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3520636Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.3520920Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:30:36.3521208Z call_function, add_1, , (sum_1, 3), {} 2022-11-23T01:30:36.3521489Z call_method, sum_2, sum, (add_1, -1), {} 2022-11-23T01:30:36.3521784Z call_function, add_2, , (sum_2, 5), {} 2022-11-23T01:30:36.3522016Z output, output, output, ((add_2,),), {} 2022-11-23T01:30:36.3522148Z 2022-11-23T01:30:36.3522476Z [2022-11-23 01:28:00,515] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3522803Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3523017Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3523208Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3523415Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3523620Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3523810Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3524006Z 12 RETURN_VALUE 2022-11-23T01:30:36.3524119Z 2022-11-23T01:30:36.3524180Z 2022-11-23T01:30:36.3524577Z [2022-11-23 01:28:00,515] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3525024Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_389) 2022-11-23T01:30:36.3525252Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3525466Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3525646Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3525848Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3526071Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3526286Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3526507Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3526700Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3526886Z 18 BUILD_TUPLE 1 2022-11-23T01:30:36.3527079Z 20 RETURN_VALUE 2022-11-23T01:30:36.3527191Z 2022-11-23T01:30:36.3527251Z 2022-11-23T01:30:36.3527510Z [2022-11-23 01:28:00,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3527730Z - 2022-11-23T01:30:36.3527938Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3528102Z { 2022-11-23T01:30:36.3528336Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3528646Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3528909Z 'obj_weakref': None 2022-11-23T01:30:36.3529240Z 'guarded_class': 2022-11-23T01:30:36.3529476Z } 2022-11-23T01:30:36.3529637Z 2022-11-23T01:30:36.3529787Z - 2022-11-23T01:30:36.3530002Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3530180Z { 2022-11-23T01:30:36.3530459Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3530700Z 'code': None, 2022-11-23T01:30:36.3531024Z 'obj_weakref': 2022-11-23T01:30:36.3531433Z 'guarded_class': 2022-11-23T01:30:36.3531683Z } 2022-11-23T01:30:36.3531851Z 2022-11-23T01:30:36.3532003Z - 2022-11-23T01:30:36.3532227Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3532416Z { 2022-11-23T01:30:36.3532632Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3532927Z 'code': ['___check_obj_id(model, 140534429635568)'], 2022-11-23T01:30:36.3533187Z 'obj_weakref': None 2022-11-23T01:30:36.3533569Z 'guarded_class': 2022-11-23T01:30:36.3533792Z } 2022-11-23T01:30:36.3533952Z 2022-11-23T01:30:36.3534112Z - 2022-11-23T01:30:36.3534313Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3534496Z { 2022-11-23T01:30:36.3534728Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3535053Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3535340Z 'obj_weakref': None 2022-11-23T01:30:36.3535677Z 'guarded_class': 2022-11-23T01:30:36.3535896Z } 2022-11-23T01:30:36.3536051Z 2022-11-23T01:30:36.3536408Z [2022-11-23 01:28:00,522] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381 2022-11-23T01:30:36.3536953Z [2022-11-23 01:28:01,993] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4spt67s57igjkactqomatrmfvbvgqje3eczzhco7s4zlsufhagg.py 2022-11-23T01:30:36.3537491Z [2022-11-23 01:28:01,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381 2022-11-23T01:30:36.3537689Z 2022-11-23T01:30:36.3537784Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3537978Z import torch 2022-11-23T01:30:36.3538135Z import random 2022-11-23T01:30:36.3538354Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3538622Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3538776Z 2022-11-23T01:30:36.3538842Z aten = torch.ops.aten 2022-11-23T01:30:36.3539085Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3539336Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3539464Z 2022-11-23T01:30:36.3539469Z 2022-11-23T01:30:36.3539606Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3539931Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3540273Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.3540519Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3540733Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3540917Z { 2022-11-23T01:30:36.3541089Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.3541290Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3541477Z { 2022-11-23T01:30:36.3541643Z #pragma omp for 2022-11-23T01:30:36.3541819Z for(long i0=0; i0<136; i0+=1) 2022-11-23T01:30:36.3541997Z { 2022-11-23T01:30:36.3542152Z { 2022-11-23T01:30:36.3542429Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3542704Z float tmp3 = 0; 2022-11-23T01:30:36.3542933Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.3543168Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3543337Z { 2022-11-23T01:30:36.3543615Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (9*i0)); 2022-11-23T01:30:36.3543913Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.3544151Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3544355Z tmp3_vec += tmp2; 2022-11-23T01:30:36.3544536Z } 2022-11-23T01:30:36.3544831Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:36.3545144Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:36.3545376Z for(long i1=8; i1<9; i1+=1) 2022-11-23T01:30:36.3545563Z { 2022-11-23T01:30:36.3545742Z auto tmp0 = in_ptr0[i1 + (9*i0)]; 2022-11-23T01:30:36.3546002Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3546223Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3546410Z tmp3 += tmp2; 2022-11-23T01:30:36.3546580Z } 2022-11-23T01:30:36.3546759Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.3546925Z } 2022-11-23T01:30:36.3547081Z } 2022-11-23T01:30:36.3547247Z #pragma omp for 2022-11-23T01:30:36.3547423Z for(long i0=0; i0<17; i0+=1) 2022-11-23T01:30:36.3547601Z { 2022-11-23T01:30:36.3547755Z { 2022-11-23T01:30:36.3548240Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3548527Z float tmp3 = 0; 2022-11-23T01:30:36.3548764Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.3549000Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3549175Z { 2022-11-23T01:30:36.3549415Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3549719Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:30:36.3549953Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3550155Z tmp3_vec += tmp2; 2022-11-23T01:30:36.3550337Z } 2022-11-23T01:30:36.3550628Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:36.3550944Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:36.3551174Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3551360Z { 2022-11-23T01:30:36.3551544Z auto tmp0 = out_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3551770Z auto tmp1 = static_cast(3); 2022-11-23T01:30:36.3551992Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3552174Z tmp3 += tmp2; 2022-11-23T01:30:36.3552347Z } 2022-11-23T01:30:36.3552528Z out_ptr1[i0] = tmp3; 2022-11-23T01:30:36.3552696Z } 2022-11-23T01:30:36.3552859Z } 2022-11-23T01:30:36.3553025Z #pragma omp for 2022-11-23T01:30:36.3553202Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.3553377Z { 2022-11-23T01:30:36.3553601Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:36.3553889Z auto tmp1 = at::vec::Vectorized(static_cast(5)); 2022-11-23T01:30:36.3554115Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3554328Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.3554511Z } 2022-11-23T01:30:36.3554683Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3554888Z for(long i0=16; i0<17; i0+=1) 2022-11-23T01:30:36.3555066Z { 2022-11-23T01:30:36.3555225Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:36.3555437Z auto tmp1 = static_cast(5); 2022-11-23T01:30:36.3555688Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3555876Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.3556054Z } 2022-11-23T01:30:36.3556203Z } 2022-11-23T01:30:36.3556336Z } 2022-11-23T01:30:36.3556517Z ''') 2022-11-23T01:30:36.3556611Z 2022-11-23T01:30:36.3556616Z 2022-11-23T01:30:36.3556704Z async_compile.wait(globals()) 2022-11-23T01:30:36.3556882Z del async_compile 2022-11-23T01:30:36.3556990Z 2022-11-23T01:30:36.3557061Z def call(args): 2022-11-23T01:30:36.3557231Z arg0_1, = args 2022-11-23T01:30:36.3557391Z args.clear() 2022-11-23T01:30:36.3557708Z buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3558068Z buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3558340Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:30:36.3558604Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3558856Z del arg0_1 2022-11-23T01:30:36.3559027Z return (buf2, ) 2022-11-23T01:30:36.3559122Z 2022-11-23T01:30:36.3559139Z 2022-11-23T01:30:36.3559202Z if __name__ == "__main__": 2022-11-23T01:30:36.3559424Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3559688Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3560116Z arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3560389Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3560528Z 2022-11-23T01:30:36.3560604Z ok (1.496s) 2022-11-23T01:30:36.3561013Z test_sum_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3561540Z [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3561994Z [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3562418Z [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3562885Z [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3563396Z [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3563972Z [2022-11-23 01:28:01,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3564537Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3565292Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3565629Z 867 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3565841Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3566050Z 4 LOAD_ATTR 0 (sum) 2022-11-23T01:30:36.3566298Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.3566511Z 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:36.3566728Z 10 LOAD_ATTR 2 (double) 2022-11-23T01:30:36.3566999Z 12 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:30:36.3567202Z 14 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3567402Z 16 BINARY_MULTIPLY 2022-11-23T01:30:36.3567607Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3567802Z 20 LOAD_ATTR 0 (sum) 2022-11-23T01:30:36.3568076Z 22 LOAD_GLOBAL 1 (torch) 2022-11-23T01:30:36.3568292Z 24 LOAD_ATTR 2 (double) 2022-11-23T01:30:36.3568544Z 26 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:30:36.3568761Z 28 CALL_FUNCTION_KW 1 2022-11-23T01:30:36.3568954Z 30 BINARY_ADD 2022-11-23T01:30:36.3569122Z 32 RETURN_VALUE 2022-11-23T01:30:36.3569295Z 2022-11-23T01:30:36.3569387Z 2022-11-23T01:30:36.3569706Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:867 2022-11-23T01:30:36.3570148Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.3570532Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3571022Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3571534Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3572099Z [2022-11-23 01:28:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3572834Z [2022-11-23 01:28:02,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable()] 2022-11-23T01:30:36.3573588Z [2022-11-23 01:28:02,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:30:36.3574302Z [2022-11-23 01:28:02,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:30:36.3574885Z [2022-11-23 01:28:02,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3575334Z [2022-11-23 01:28:02,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3575770Z [2022-11-23 01:28:02,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3576272Z [2022-11-23 01:28:02,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3576958Z [2022-11-23 01:28:02,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable()] 2022-11-23T01:30:36.3577630Z [2022-11-23 01:28:02,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)] 2022-11-23T01:30:36.3578259Z [2022-11-23 01:28:02,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:30:36.3578806Z [2022-11-23 01:28:02,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3579251Z [2022-11-23 01:28:02,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3579810Z [2022-11-23 01:28:02,004] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3580330Z [2022-11-23 01:28:02,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3580751Z [2022-11-23 01:28:02,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3581181Z [2022-11-23 01:28:02,005] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3581616Z [2022-11-23 01:28:02,009] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3581976Z [2022-11-23 01:28:02,010] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3582261Z __compiled_fn_390 .3154 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3582512Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3582808Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64} 2022-11-23T01:30:36.3583152Z call_function, mul, , (ex_0_, sum_1), {} 2022-11-23T01:30:36.3583472Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64} 2022-11-23T01:30:36.3583790Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:30:36.3584021Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.3584154Z 2022-11-23T01:30:36.3584478Z [2022-11-23 01:28:02,010] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3584802Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3584997Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3585202Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3585408Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3585614Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3585804Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3586002Z 12 RETURN_VALUE 2022-11-23T01:30:36.3586113Z 2022-11-23T01:30:36.3586173Z 2022-11-23T01:30:36.3586573Z [2022-11-23 01:28:02,010] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3586913Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_390) 2022-11-23T01:30:36.3587134Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3587327Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3587519Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3587716Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3587924Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3588105Z 12 RETURN_VALUE 2022-11-23T01:30:36.3588217Z 2022-11-23T01:30:36.3588276Z 2022-11-23T01:30:36.3588545Z [2022-11-23 01:28:02,011] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3588752Z - 2022-11-23T01:30:36.3588962Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3589139Z { 2022-11-23T01:30:36.3589361Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3589674Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3589939Z 'obj_weakref': None 2022-11-23T01:30:36.3590268Z 'guarded_class': 2022-11-23T01:30:36.3590499Z } 2022-11-23T01:30:36.3590658Z 2022-11-23T01:30:36.3590837Z - 2022-11-23T01:30:36.3591052Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3591117Z { 2022-11-23T01:30:36.3591258Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3591363Z 'code': None, 2022-11-23T01:30:36.3591574Z 'obj_weakref': 2022-11-23T01:30:36.3591813Z 'guarded_class': 2022-11-23T01:30:36.3591879Z } 2022-11-23T01:30:36.3591942Z 2022-11-23T01:30:36.3592010Z - 2022-11-23T01:30:36.3592176Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3592241Z { 2022-11-23T01:30:36.3592377Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3592532Z 'code': ['___check_obj_id(model, 140534626162944)'], 2022-11-23T01:30:36.3592653Z 'obj_weakref': None 2022-11-23T01:30:36.3592887Z 'guarded_class': 2022-11-23T01:30:36.3592951Z } 2022-11-23T01:30:36.3593014Z 2022-11-23T01:30:36.3593083Z - 2022-11-23T01:30:36.3593192Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3593256Z { 2022-11-23T01:30:36.3593391Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3593605Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3593770Z 'obj_weakref': None 2022-11-23T01:30:36.3593998Z 'guarded_class': 2022-11-23T01:30:36.3594061Z } 2022-11-23T01:30:36.3594123Z 2022-11-23T01:30:36.3594179Z - 2022-11-23T01:30:36.3594312Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3594376Z { 2022-11-23T01:30:36.3594493Z 'guard_types': None, 2022-11-23T01:30:36.3594599Z 'code': None, 2022-11-23T01:30:36.3594714Z 'obj_weakref': None 2022-11-23T01:30:36.3594822Z 'guarded_class': None 2022-11-23T01:30:36.3594883Z } 2022-11-23T01:30:36.3594944Z 2022-11-23T01:30:36.3595011Z - 2022-11-23T01:30:36.3595160Z global 'torch.double' CONSTANT_MATCH 2022-11-23T01:30:36.3595225Z { 2022-11-23T01:30:36.3595365Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3595527Z 'code': ["str(torch.double) == 'torch.float64'"], 2022-11-23T01:30:36.3595644Z 'obj_weakref': None 2022-11-23T01:30:36.3595868Z 'guarded_class': 2022-11-23T01:30:36.3595931Z } 2022-11-23T01:30:36.3595994Z 2022-11-23T01:30:36.3596253Z [2022-11-23 01:28:02,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382 2022-11-23T01:30:36.3596624Z [2022-11-23 01:28:03,531] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lk/clk2snsasbdbcsoyklz5exqx2ofjjrpjkhjpmftxlqsvmbszvhao.py 2022-11-23T01:30:36.3596888Z [2022-11-23 01:28:03,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382 2022-11-23T01:30:36.3596894Z 2022-11-23T01:30:36.3596975Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3597044Z import torch 2022-11-23T01:30:36.3597115Z import random 2022-11-23T01:30:36.3597229Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3597350Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3597358Z 2022-11-23T01:30:36.3597436Z aten = torch.ops.aten 2022-11-23T01:30:36.3597568Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3597659Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3597664Z 2022-11-23T01:30:36.3597668Z 2022-11-23T01:30:36.3597787Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3597990Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3598108Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3598208Z double* __restrict__ out_ptr0, 2022-11-23T01:30:36.3598305Z double* __restrict__ out_ptr1, 2022-11-23T01:30:36.3598398Z double* __restrict__ out_ptr2) 2022-11-23T01:30:36.3598461Z { 2022-11-23T01:30:36.3598546Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3598607Z { 2022-11-23T01:30:36.3598683Z #pragma omp for 2022-11-23T01:30:36.3598791Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3598855Z { 2022-11-23T01:30:36.3598918Z { 2022-11-23T01:30:36.3598981Z { 2022-11-23T01:30:36.3599049Z double tmp2 = 0; 2022-11-23T01:30:36.3599141Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:36.3599208Z { 2022-11-23T01:30:36.3599277Z { 2022-11-23T01:30:36.3599382Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:36.3599493Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3599575Z tmp2 += tmp1; 2022-11-23T01:30:36.3599630Z } 2022-11-23T01:30:36.3599696Z } 2022-11-23T01:30:36.3599811Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.3599877Z } 2022-11-23T01:30:36.3599940Z } 2022-11-23T01:30:36.3600093Z } 2022-11-23T01:30:36.3600159Z } 2022-11-23T01:30:36.3600209Z { 2022-11-23T01:30:36.3600272Z { 2022-11-23T01:30:36.3600353Z double tmp2 = 0; 2022-11-23T01:30:36.3600460Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3600525Z { 2022-11-23T01:30:36.3600629Z #pragma omp for reduction(+:tmp2) 2022-11-23T01:30:36.3600707Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:30:36.3600773Z { 2022-11-23T01:30:36.3600840Z { 2022-11-23T01:30:36.3600933Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3601044Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3601127Z tmp2 += tmp1; 2022-11-23T01:30:36.3601193Z } 2022-11-23T01:30:36.3601246Z } 2022-11-23T01:30:36.3601309Z } 2022-11-23T01:30:36.3601389Z out_ptr1[0] = tmp2; 2022-11-23T01:30:36.3601454Z } 2022-11-23T01:30:36.3601515Z } 2022-11-23T01:30:36.3601617Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3601679Z { 2022-11-23T01:30:36.3601741Z #pragma omp for 2022-11-23T01:30:36.3601822Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3601883Z { 2022-11-23T01:30:36.3601963Z #pragma GCC ivdep 2022-11-23T01:30:36.3602050Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:30:36.3602111Z { 2022-11-23T01:30:36.3602163Z { 2022-11-23T01:30:36.3602228Z { 2022-11-23T01:30:36.3602328Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:30:36.3602421Z auto tmp2 = out_ptr0[i1]; 2022-11-23T01:30:36.3602514Z auto tmp4 = out_ptr1[0]; 2022-11-23T01:30:36.3602624Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3602720Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:30:36.3602810Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:36.3602894Z out_ptr2[i1 + (32*i0)] = tmp5; 2022-11-23T01:30:36.3602960Z } 2022-11-23T01:30:36.3603024Z } 2022-11-23T01:30:36.3603088Z } 2022-11-23T01:30:36.3603152Z } 2022-11-23T01:30:36.3603213Z } 2022-11-23T01:30:36.3603260Z } 2022-11-23T01:30:36.3603342Z ''') 2022-11-23T01:30:36.3603347Z 2022-11-23T01:30:36.3603352Z 2022-11-23T01:30:36.3603440Z async_compile.wait(globals()) 2022-11-23T01:30:36.3603549Z del async_compile 2022-11-23T01:30:36.3603554Z 2022-11-23T01:30:36.3603622Z def call(args): 2022-11-23T01:30:36.3603690Z arg0_1, = args 2022-11-23T01:30:36.3603760Z args.clear() 2022-11-23T01:30:36.3603954Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.3604131Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.3604326Z buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.3604550Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.3604623Z del arg0_1 2022-11-23T01:30:36.3604694Z return (buf2, ) 2022-11-23T01:30:36.3604699Z 2022-11-23T01:30:36.3604703Z 2022-11-23T01:30:36.3604908Z if __name__ == "__main__": 2022-11-23T01:30:36.3605029Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3605153Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3605341Z arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3605450Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3605455Z 2022-11-23T01:30:36.3605523Z ok (1.537s) 2022-11-23T01:30:36.3605829Z test_sum_int_cpu (__main__.CpuTests) ... [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3606202Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3606422Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3606678Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3606955Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3607273Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3607605Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3607931Z [2022-11-23 01:28:03,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3608304Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3608398Z 858 0 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3608490Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3608587Z 4 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3608726Z 6 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3608813Z 8 CALL_METHOD 1 2022-11-23T01:30:36.3608880Z 10 BINARY_MULTIPLY 2022-11-23T01:30:36.3608969Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3609062Z 14 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3609148Z 16 CALL_METHOD 0 2022-11-23T01:30:36.3609221Z 18 BINARY_ADD 2022-11-23T01:30:36.3609300Z 20 RETURN_VALUE 2022-11-23T01:30:36.3609360Z 2022-11-23T01:30:36.3609366Z 2022-11-23T01:30:36.3609678Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858 2022-11-23T01:30:36.3609875Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [] 2022-11-23T01:30:36.3610118Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)] 2022-11-23T01:30:36.3610391Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3610704Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3611110Z [2022-11-23 01:28:03,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3611403Z [2022-11-23 01:28:03,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3611638Z [2022-11-23 01:28:03,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3611904Z [2022-11-23 01:28:03,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3612209Z [2022-11-23 01:28:03,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3612478Z [2022-11-23 01:28:03,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3612743Z [2022-11-23 01:28:03,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3613121Z [2022-11-23 01:28:03,541] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3613367Z [2022-11-23 01:28:03,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3613601Z [2022-11-23 01:28:03,542] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3613852Z [2022-11-23 01:28:03,543] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3614101Z [2022-11-23 01:28:03,551] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3614287Z [2022-11-23 01:28:03,551] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3614428Z __compiled_fn_391 .3160 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3614518Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3614641Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:30:36.3614811Z call_function, mul, , (2, sum_1), {} 2022-11-23T01:30:36.3614902Z call_method, sum_2, sum, (ex_0_,), {} 2022-11-23T01:30:36.3615075Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:30:36.3615169Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.3615175Z 2022-11-23T01:30:36.3615504Z [2022-11-23 01:28:03,552] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3615597Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3615686Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3615760Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3615850Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3615938Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3616028Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3616106Z 12 RETURN_VALUE 2022-11-23T01:30:36.3616112Z 2022-11-23T01:30:36.3616171Z 2022-11-23T01:30:36.3616493Z [2022-11-23 01:28:03,552] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3616588Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_391) 2022-11-23T01:30:36.3616678Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3616767Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3616843Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3616931Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3617018Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3617092Z 12 RETURN_VALUE 2022-11-23T01:30:36.3617099Z 2022-11-23T01:30:36.3617159Z 2022-11-23T01:30:36.3617327Z [2022-11-23 01:28:03,553] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3617398Z - 2022-11-23T01:30:36.3617544Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3617610Z { 2022-11-23T01:30:36.3617752Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3617938Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3618058Z 'obj_weakref': None 2022-11-23T01:30:36.3618268Z 'guarded_class': 2022-11-23T01:30:36.3618333Z } 2022-11-23T01:30:36.3618397Z 2022-11-23T01:30:36.3618465Z - 2022-11-23T01:30:36.3618589Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3618652Z { 2022-11-23T01:30:36.3618793Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3618886Z 'code': None, 2022-11-23T01:30:36.3619126Z 'obj_weakref': 2022-11-23T01:30:36.3619379Z 'guarded_class': 2022-11-23T01:30:36.3619445Z } 2022-11-23T01:30:36.3619508Z 2022-11-23T01:30:36.3619577Z - 2022-11-23T01:30:36.3619708Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3619759Z { 2022-11-23T01:30:36.3619892Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3620057Z 'code': ['___check_obj_id(model, 140534626723744)'], 2022-11-23T01:30:36.3620175Z 'obj_weakref': None 2022-11-23T01:30:36.3620401Z 'guarded_class': 2022-11-23T01:30:36.3620465Z } 2022-11-23T01:30:36.3620526Z 2022-11-23T01:30:36.3620581Z - 2022-11-23T01:30:36.3620701Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3620766Z { 2022-11-23T01:30:36.3620901Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3621116Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3621234Z 'obj_weakref': None 2022-11-23T01:30:36.3621454Z 'guarded_class': 2022-11-23T01:30:36.3621504Z } 2022-11-23T01:30:36.3621566Z 2022-11-23T01:30:36.3621825Z [2022-11-23 01:28:03,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383 2022-11-23T01:30:36.3622185Z [2022-11-23 01:28:05,133] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2jpxgv3ces5cpd36h57d2pbl2xhcse4aja344kchxk2ynqsxzir.py 2022-11-23T01:30:36.3622447Z [2022-11-23 01:28:05,133] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383 2022-11-23T01:30:36.3622684Z [2022-11-23 01:28:05,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3629595Z [2022-11-23 01:28:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3629919Z [2022-11-23 01:28:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3630172Z [2022-11-23 01:28:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3630458Z [2022-11-23 01:28:05,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3630781Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3631134Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3631545Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3631924Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3632020Z 858 0 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3632111Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3632207Z 4 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3632345Z 6 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3632420Z 8 CALL_METHOD 1 2022-11-23T01:30:36.3632502Z 10 BINARY_MULTIPLY 2022-11-23T01:30:36.3632593Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3632720Z 14 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3632807Z 16 CALL_METHOD 0 2022-11-23T01:30:36.3632881Z 18 BINARY_ADD 2022-11-23T01:30:36.3632962Z 20 RETURN_VALUE 2022-11-23T01:30:36.3633012Z 2022-11-23T01:30:36.3633019Z 2022-11-23T01:30:36.3633337Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858 2022-11-23T01:30:36.3633551Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [] 2022-11-23T01:30:36.3633796Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)] 2022-11-23T01:30:36.3634074Z [2022-11-23 01:28:05,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3634389Z [2022-11-23 01:28:05,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3634748Z [2022-11-23 01:28:05,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3635042Z [2022-11-23 01:28:05,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3635281Z [2022-11-23 01:28:05,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3635536Z [2022-11-23 01:28:05,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3635900Z [2022-11-23 01:28:05,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3636169Z [2022-11-23 01:28:05,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3636416Z [2022-11-23 01:28:05,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3636795Z [2022-11-23 01:28:05,160] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3637043Z [2022-11-23 01:28:05,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3637278Z [2022-11-23 01:28:05,160] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3637533Z [2022-11-23 01:28:05,161] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3637782Z [2022-11-23 01:28:05,165] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3637970Z [2022-11-23 01:28:05,166] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3638094Z __compiled_fn_392 .3166 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3638182Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3638356Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:30:36.3638532Z call_function, mul, , (2, sum_1), {} 2022-11-23T01:30:36.3638623Z call_method, sum_2, sum, (ex_0_,), {} 2022-11-23T01:30:36.3638804Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:30:36.3638899Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.3638904Z 2022-11-23T01:30:36.3639235Z [2022-11-23 01:28:05,166] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3639319Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3639410Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3639496Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3639591Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3639709Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3639797Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3639877Z 12 RETURN_VALUE 2022-11-23T01:30:36.3639884Z 2022-11-23T01:30:36.3639932Z 2022-11-23T01:30:36.3640362Z [2022-11-23 01:28:05,166] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3640473Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_392) 2022-11-23T01:30:36.3640564Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3640656Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3640735Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3640822Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3640912Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3640974Z 12 RETURN_VALUE 2022-11-23T01:30:36.3640982Z 2022-11-23T01:30:36.3641044Z 2022-11-23T01:30:36.3641229Z [2022-11-23 01:28:05,167] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3641305Z - 2022-11-23T01:30:36.3641427Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3641494Z { 2022-11-23T01:30:36.3641636Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3641810Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3641930Z 'obj_weakref': None 2022-11-23T01:30:36.3642158Z 'guarded_class': 2022-11-23T01:30:36.3642225Z } 2022-11-23T01:30:36.3642293Z 2022-11-23T01:30:36.3642364Z - 2022-11-23T01:30:36.3642486Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3642537Z { 2022-11-23T01:30:36.3642681Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3642790Z 'code': None, 2022-11-23T01:30:36.3643005Z 'obj_weakref': 2022-11-23T01:30:36.3643258Z 'guarded_class': 2022-11-23T01:30:36.3643324Z } 2022-11-23T01:30:36.3643390Z 2022-11-23T01:30:36.3643446Z - 2022-11-23T01:30:36.3643575Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3643640Z { 2022-11-23T01:30:36.3643775Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3643942Z 'code': ['___check_obj_id(model, 140534626723744)'], 2022-11-23T01:30:36.3644063Z 'obj_weakref': None 2022-11-23T01:30:36.3644293Z 'guarded_class': 2022-11-23T01:30:36.3644344Z } 2022-11-23T01:30:36.3644407Z 2022-11-23T01:30:36.3644478Z - 2022-11-23T01:30:36.3644601Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3644667Z { 2022-11-23T01:30:36.3644949Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3645231Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3645340Z 'obj_weakref': None 2022-11-23T01:30:36.3645561Z 'guarded_class': 2022-11-23T01:30:36.3645628Z } 2022-11-23T01:30:36.3645692Z 2022-11-23T01:30:36.3645956Z [2022-11-23 01:28:05,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384 2022-11-23T01:30:36.3646321Z [2022-11-23 01:28:06,772] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2w/c2w2jmkoalld6cty272x6vx5v3lidbvrprn5kyanqbqufptmf7lr.py 2022-11-23T01:30:36.3646587Z [2022-11-23 01:28:06,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384 2022-11-23T01:30:36.3646868Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3647173Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3647391Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3647641Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3647917Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3648237Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3648585Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3648912Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3649287Z [2022-11-23 01:28:06,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3649381Z 858 0 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3649471Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3649552Z 4 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3649690Z 6 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.3649777Z 8 CALL_METHOD 1 2022-11-23T01:30:36.3649859Z 10 BINARY_MULTIPLY 2022-11-23T01:30:36.3649950Z 12 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3650045Z 14 LOAD_METHOD 0 (sum) 2022-11-23T01:30:36.3650134Z 16 CALL_METHOD 0 2022-11-23T01:30:36.3650196Z 18 BINARY_ADD 2022-11-23T01:30:36.3650277Z 20 RETURN_VALUE 2022-11-23T01:30:36.3650340Z 2022-11-23T01:30:36.3650345Z 2022-11-23T01:30:36.3650660Z [2022-11-23 01:28:06,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858 2022-11-23T01:30:36.3650871Z [2022-11-23 01:28:06,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [] 2022-11-23T01:30:36.3651118Z [2022-11-23 01:28:06,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)] 2022-11-23T01:30:36.3651392Z [2022-11-23 01:28:06,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3651704Z [2022-11-23 01:28:06,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3652102Z [2022-11-23 01:28:06,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.3652383Z [2022-11-23 01:28:06,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3652619Z [2022-11-23 01:28:06,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3652886Z [2022-11-23 01:28:06,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3653189Z [2022-11-23 01:28:06,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.3653460Z [2022-11-23 01:28:06,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3653735Z [2022-11-23 01:28:06,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3654113Z [2022-11-23 01:28:06,781] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3654358Z [2022-11-23 01:28:06,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3654593Z [2022-11-23 01:28:06,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3654845Z [2022-11-23 01:28:06,783] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3655081Z [2022-11-23 01:28:06,786] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3655267Z [2022-11-23 01:28:06,786] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3655403Z __compiled_fn_393 .3172 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3655494Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3655633Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:30:36.3655807Z call_function, mul, , (2, sum_1), {} 2022-11-23T01:30:36.3655899Z call_method, sum_2, sum, (ex_0_,), {} 2022-11-23T01:30:36.3656073Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:30:36.3656154Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.3656159Z 2022-11-23T01:30:36.3656487Z [2022-11-23 01:28:06,787] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3656581Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3656672Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3656759Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3656851Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3656938Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3657013Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3657090Z 12 RETURN_VALUE 2022-11-23T01:30:36.3657096Z 2022-11-23T01:30:36.3657157Z 2022-11-23T01:30:36.3657481Z [2022-11-23 01:28:06,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3657590Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_393) 2022-11-23T01:30:36.3657680Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3657770Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3657849Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3657922Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3658013Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3658089Z 12 RETURN_VALUE 2022-11-23T01:30:36.3658096Z 2022-11-23T01:30:36.3658157Z 2022-11-23T01:30:36.3658339Z [2022-11-23 01:28:06,788] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3658411Z - 2022-11-23T01:30:36.3658556Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3658609Z { 2022-11-23T01:30:36.3658752Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3658940Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3659060Z 'obj_weakref': None 2022-11-23T01:30:36.3659290Z 'guarded_class': 2022-11-23T01:30:36.3659358Z } 2022-11-23T01:30:36.3659425Z 2022-11-23T01:30:36.3659482Z - 2022-11-23T01:30:36.3659610Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3659675Z { 2022-11-23T01:30:36.3659817Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3659923Z 'code': None, 2022-11-23T01:30:36.3660163Z 'obj_weakref': 2022-11-23T01:30:36.3660418Z 'guarded_class': 2022-11-23T01:30:36.3660470Z } 2022-11-23T01:30:36.3660534Z 2022-11-23T01:30:36.3660603Z - 2022-11-23T01:30:36.3660733Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3660799Z { 2022-11-23T01:30:36.3660931Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3661100Z 'code': ['___check_obj_id(model, 140534626723744)'], 2022-11-23T01:30:36.3661205Z 'obj_weakref': None 2022-11-23T01:30:36.3661436Z 'guarded_class': 2022-11-23T01:30:36.3661502Z } 2022-11-23T01:30:36.3661568Z 2022-11-23T01:30:36.3661641Z - 2022-11-23T01:30:36.3661761Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3661828Z { 2022-11-23T01:30:36.3661951Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3662168Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3662288Z 'obj_weakref': None 2022-11-23T01:30:36.3662510Z 'guarded_class': 2022-11-23T01:30:36.3662574Z } 2022-11-23T01:30:36.3662637Z 2022-11-23T01:30:36.3662896Z [2022-11-23 01:28:06,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385 2022-11-23T01:30:36.3663255Z [2022-11-23 01:28:08,389] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6n/c6n2btqj5pyjkh6j3cvbc7c7q5xm6y2k3o4jbca4nodfohcngubk.py 2022-11-23T01:30:36.3663505Z [2022-11-23 01:28:08,389] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385 2022-11-23T01:30:36.3663512Z 2022-11-23T01:30:36.3663606Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3663677Z import torch 2022-11-23T01:30:36.3663750Z import random 2022-11-23T01:30:36.3663867Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3663992Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3663997Z 2022-11-23T01:30:36.3664075Z aten = torch.ops.aten 2022-11-23T01:30:36.3664209Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3664289Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3664293Z 2022-11-23T01:30:36.3664298Z 2022-11-23T01:30:36.3664432Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3664635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3664753Z extern "C" void kernel(long* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.3664856Z const bool* __restrict__ in_ptr0, 2022-11-23T01:30:36.3664954Z long* __restrict__ out_ptr0) 2022-11-23T01:30:36.3665019Z { 2022-11-23T01:30:36.3665091Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.3665154Z { 2022-11-23T01:30:36.3665247Z { 2022-11-23T01:30:36.3665325Z long tmp2 = 0; 2022-11-23T01:30:36.3665400Z long tmp3 = 0; 2022-11-23T01:30:36.3665506Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3665571Z { 2022-11-23T01:30:36.3665683Z #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 2022-11-23T01:30:36.3665772Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.3665838Z { 2022-11-23T01:30:36.3665906Z { 2022-11-23T01:30:36.3666000Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3666108Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3666188Z tmp2 += tmp1; 2022-11-23T01:30:36.3666253Z tmp3 += tmp1; 2022-11-23T01:30:36.3666346Z } 2022-11-23T01:30:36.3666411Z } 2022-11-23T01:30:36.3666475Z } 2022-11-23T01:30:36.3666557Z out_ptr0[0] = tmp2; 2022-11-23T01:30:36.3666636Z out_ptr1[0] = tmp3; 2022-11-23T01:30:36.3666700Z } 2022-11-23T01:30:36.3666748Z } 2022-11-23T01:30:36.3666809Z { 2022-11-23T01:30:36.3666872Z { 2022-11-23T01:30:36.3666957Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:30:36.3667042Z auto tmp3 = out_ptr1[0]; 2022-11-23T01:30:36.3667141Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.3667211Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3667292Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3667374Z in_out_ptr0[0] = tmp4; 2022-11-23T01:30:36.3667440Z } 2022-11-23T01:30:36.3667502Z } 2022-11-23T01:30:36.3667566Z } 2022-11-23T01:30:36.3667646Z ''') 2022-11-23T01:30:36.3667651Z 2022-11-23T01:30:36.3667655Z 2022-11-23T01:30:36.3667733Z async_compile.wait(globals()) 2022-11-23T01:30:36.3667806Z del async_compile 2022-11-23T01:30:36.3667811Z 2022-11-23T01:30:36.3667881Z def call(args): 2022-11-23T01:30:36.3667954Z arg0_1, = args 2022-11-23T01:30:36.3668025Z args.clear() 2022-11-23T01:30:36.3668209Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3668387Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3668473Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:30:36.3668627Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3668697Z del arg0_1 2022-11-23T01:30:36.3668768Z return (buf2, ) 2022-11-23T01:30:36.3668773Z 2022-11-23T01:30:36.3668777Z 2022-11-23T01:30:36.3668855Z if __name__ == "__main__": 2022-11-23T01:30:36.3668970Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3669091Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3669281Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.3669376Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3669393Z 2022-11-23T01:30:36.3669400Z 2022-11-23T01:30:36.3669481Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3669550Z import torch 2022-11-23T01:30:36.3669620Z import random 2022-11-23T01:30:36.3669734Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3669855Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3669860Z 2022-11-23T01:30:36.3669938Z aten = torch.ops.aten 2022-11-23T01:30:36.3670072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3670151Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3670169Z 2022-11-23T01:30:36.3670173Z 2022-11-23T01:30:36.3670292Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3670495Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3670614Z extern "C" void kernel(long* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.3670728Z const unsigned char* __restrict__ in_ptr0, 2022-11-23T01:30:36.3670885Z long* __restrict__ out_ptr0) 2022-11-23T01:30:36.3670949Z { 2022-11-23T01:30:36.3671034Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.3671084Z { 2022-11-23T01:30:36.3671149Z { 2022-11-23T01:30:36.3671224Z long tmp2 = 0; 2022-11-23T01:30:36.3671300Z long tmp3 = 0; 2022-11-23T01:30:36.3671406Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3671472Z { 2022-11-23T01:30:36.3671596Z #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 2022-11-23T01:30:36.3671672Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.3671738Z { 2022-11-23T01:30:36.3671806Z { 2022-11-23T01:30:36.3671903Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3672051Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3672136Z tmp2 += tmp1; 2022-11-23T01:30:36.3672215Z tmp3 += tmp1; 2022-11-23T01:30:36.3672273Z } 2022-11-23T01:30:36.3672340Z } 2022-11-23T01:30:36.3672403Z } 2022-11-23T01:30:36.3672484Z out_ptr0[0] = tmp2; 2022-11-23T01:30:36.3672561Z out_ptr1[0] = tmp3; 2022-11-23T01:30:36.3672624Z } 2022-11-23T01:30:36.3672673Z } 2022-11-23T01:30:36.3672735Z { 2022-11-23T01:30:36.3672798Z { 2022-11-23T01:30:36.3672883Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:30:36.3672966Z auto tmp3 = out_ptr1[0]; 2022-11-23T01:30:36.3673064Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.3673148Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3673218Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3673299Z in_out_ptr0[0] = tmp4; 2022-11-23T01:30:36.3673363Z } 2022-11-23T01:30:36.3673429Z } 2022-11-23T01:30:36.3673489Z } 2022-11-23T01:30:36.3673569Z ''') 2022-11-23T01:30:36.3673574Z 2022-11-23T01:30:36.3673578Z 2022-11-23T01:30:36.3673669Z async_compile.wait(globals()) 2022-11-23T01:30:36.3673728Z del async_compile 2022-11-23T01:30:36.3673733Z 2022-11-23T01:30:36.3673803Z def call(args): 2022-11-23T01:30:36.3673872Z arg0_1, = args 2022-11-23T01:30:36.3673944Z args.clear() 2022-11-23T01:30:36.3674123Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3674302Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3674387Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:30:36.3674535Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3674606Z del arg0_1 2022-11-23T01:30:36.3674677Z return (buf2, ) 2022-11-23T01:30:36.3674682Z 2022-11-23T01:30:36.3674686Z 2022-11-23T01:30:36.3674765Z if __name__ == "__main__": 2022-11-23T01:30:36.3674879Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3675003Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3675197Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8) 2022-11-23T01:30:36.3675305Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3675309Z 2022-11-23T01:30:36.3675314Z 2022-11-23T01:30:36.3675407Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3675464Z import torch 2022-11-23T01:30:36.3675538Z import random 2022-11-23T01:30:36.3675653Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3675771Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3675775Z 2022-11-23T01:30:36.3675853Z aten = torch.ops.aten 2022-11-23T01:30:36.3675987Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3676079Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3676083Z 2022-11-23T01:30:36.3676090Z 2022-11-23T01:30:36.3676211Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3676441Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3676560Z extern "C" void kernel(long* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.3676663Z const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.3676760Z long* __restrict__ out_ptr0) 2022-11-23T01:30:36.3676822Z { 2022-11-23T01:30:36.3676909Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.3676971Z { 2022-11-23T01:30:36.3677023Z { 2022-11-23T01:30:36.3677098Z long tmp2 = 0; 2022-11-23T01:30:36.3677174Z long tmp3 = 0; 2022-11-23T01:30:36.3677281Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3677349Z { 2022-11-23T01:30:36.3677480Z #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 2022-11-23T01:30:36.3677558Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.3677652Z { 2022-11-23T01:30:36.3677721Z { 2022-11-23T01:30:36.3677817Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3677929Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3678011Z tmp2 += tmp1; 2022-11-23T01:30:36.3678089Z tmp3 += tmp1; 2022-11-23T01:30:36.3678141Z } 2022-11-23T01:30:36.3678206Z } 2022-11-23T01:30:36.3678272Z } 2022-11-23T01:30:36.3678351Z out_ptr0[0] = tmp2; 2022-11-23T01:30:36.3678428Z out_ptr1[0] = tmp3; 2022-11-23T01:30:36.3678494Z } 2022-11-23T01:30:36.3678558Z } 2022-11-23T01:30:36.3678607Z { 2022-11-23T01:30:36.3678669Z { 2022-11-23T01:30:36.3678753Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:30:36.3678838Z auto tmp3 = out_ptr1[0]; 2022-11-23T01:30:36.3678937Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.3679024Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3679110Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3679180Z in_out_ptr0[0] = tmp4; 2022-11-23T01:30:36.3679244Z } 2022-11-23T01:30:36.3679306Z } 2022-11-23T01:30:36.3679367Z } 2022-11-23T01:30:36.3679448Z ''') 2022-11-23T01:30:36.3679453Z 2022-11-23T01:30:36.3679457Z 2022-11-23T01:30:36.3679547Z async_compile.wait(globals()) 2022-11-23T01:30:36.3679621Z del async_compile 2022-11-23T01:30:36.3679625Z 2022-11-23T01:30:36.3679683Z def call(args): 2022-11-23T01:30:36.3679751Z arg0_1, = args 2022-11-23T01:30:36.3679822Z args.clear() 2022-11-23T01:30:36.3680101Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3680285Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3680370Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:30:36.3680534Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3680593Z del arg0_1 2022-11-23T01:30:36.3680665Z return (buf2, ) 2022-11-23T01:30:36.3680670Z 2022-11-23T01:30:36.3680674Z 2022-11-23T01:30:36.3680752Z if __name__ == "__main__": 2022-11-23T01:30:36.3680869Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3680991Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3681185Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.3681294Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3681299Z 2022-11-23T01:30:36.3681366Z ok (4.858s) 2022-11-23T01:30:36.3681670Z test_sum_keepdims_cpu (__main__.CpuTests) ... [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3681988Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3682208Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3682496Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3682776Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3683097Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3683444Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3683764Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3684140Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3684267Z 1225 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3684346Z 2 LOAD_ATTR 1 (sum) 2022-11-23T01:30:36.3684438Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3684527Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3684602Z 8 BINARY_ADD 2022-11-23T01:30:36.3684862Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.3684962Z 12 LOAD_CONST 2 (True) 2022-11-23T01:30:36.3685116Z 14 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:30:36.3685196Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.3685285Z 18 BUILD_TUPLE 1 2022-11-23T01:30:36.3685363Z 20 RETURN_VALUE 2022-11-23T01:30:36.3685426Z 2022-11-23T01:30:36.3685433Z 2022-11-23T01:30:36.3685752Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1225 2022-11-23T01:30:36.3685977Z [2022-11-23 01:28:08,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3686340Z [2022-11-23 01:28:08,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:30:36.3686662Z [2022-11-23 01:28:08,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.3687007Z [2022-11-23 01:28:08,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3687388Z [2022-11-23 01:28:08,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3687725Z [2022-11-23 01:28:08,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.3688117Z [2022-11-23 01:28:08,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3688564Z [2022-11-23 01:28:08,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:30:36.3689037Z [2022-11-23 01:28:08,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:30:36.3689328Z [2022-11-23 01:28:08,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.3689577Z [2022-11-23 01:28:08,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3689960Z [2022-11-23 01:28:08,398] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3690206Z [2022-11-23 01:28:08,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3690443Z [2022-11-23 01:28:08,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3690697Z [2022-11-23 01:28:08,399] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3690981Z [2022-11-23 01:28:08,402] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3691158Z [2022-11-23 01:28:08,403] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3691295Z __compiled_fn_394 .3178 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3691386Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3691474Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3691654Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.3691902Z call_function, sum_1, , (add, -1), {'keepdim': True} 2022-11-23T01:30:36.3692000Z output, output, output, ((sum_1,),), {} 2022-11-23T01:30:36.3692005Z 2022-11-23T01:30:36.3692331Z [2022-11-23 01:28:08,403] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3692425Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3692504Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3692592Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3692690Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3692778Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3692868Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3692947Z 12 RETURN_VALUE 2022-11-23T01:30:36.3692952Z 2022-11-23T01:30:36.3693012Z 2022-11-23T01:30:36.3693318Z [2022-11-23 01:28:08,403] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3693425Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_394) 2022-11-23T01:30:36.3693515Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3693606Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3693684Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3693776Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3693864Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3693926Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3694018Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.3694122Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3694226Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3694316Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3694394Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3694482Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.3694561Z 26 RETURN_VALUE 2022-11-23T01:30:36.3694566Z 2022-11-23T01:30:36.3694614Z 2022-11-23T01:30:36.3694796Z [2022-11-23 01:28:08,404] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3694867Z - 2022-11-23T01:30:36.3694985Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3695052Z { 2022-11-23T01:30:36.3695195Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3695381Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.3695521Z 'obj_weakref': None 2022-11-23T01:30:36.3695750Z 'guarded_class': 2022-11-23T01:30:36.3695817Z } 2022-11-23T01:30:36.3695885Z 2022-11-23T01:30:36.3695954Z - 2022-11-23T01:30:36.3696078Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3696143Z { 2022-11-23T01:30:36.3696272Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3696378Z 'code': None, 2022-11-23T01:30:36.3696592Z 'obj_weakref': 2022-11-23T01:30:36.3696843Z 'guarded_class': 2022-11-23T01:30:36.3696907Z } 2022-11-23T01:30:36.3697000Z 2022-11-23T01:30:36.3697075Z - 2022-11-23T01:30:36.3697185Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3697249Z { 2022-11-23T01:30:36.3697392Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3697498Z 'code': None, 2022-11-23T01:30:36.3697711Z 'obj_weakref': 2022-11-23T01:30:36.3697961Z 'guarded_class': 2022-11-23T01:30:36.3698027Z } 2022-11-23T01:30:36.3698078Z 2022-11-23T01:30:36.3698147Z - 2022-11-23T01:30:36.3698279Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3698344Z { 2022-11-23T01:30:36.3698477Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3698644Z 'code': ['___check_obj_id(model, 140534429641616)'], 2022-11-23T01:30:36.3698767Z 'obj_weakref': None 2022-11-23T01:30:36.3698984Z 'guarded_class': 2022-11-23T01:30:36.3699047Z } 2022-11-23T01:30:36.3699114Z 2022-11-23T01:30:36.3699183Z - 2022-11-23T01:30:36.3699305Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3699371Z { 2022-11-23T01:30:36.3699505Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3699707Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3699824Z 'obj_weakref': None 2022-11-23T01:30:36.3700049Z 'guarded_class': 2022-11-23T01:30:36.3700117Z } 2022-11-23T01:30:36.3700181Z 2022-11-23T01:30:36.3700254Z - 2022-11-23T01:30:36.3700387Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3700440Z { 2022-11-23T01:30:36.3700562Z 'guard_types': None, 2022-11-23T01:30:36.3700669Z 'code': None, 2022-11-23T01:30:36.3700784Z 'obj_weakref': None 2022-11-23T01:30:36.3700908Z 'guarded_class': None 2022-11-23T01:30:36.3700973Z } 2022-11-23T01:30:36.3701025Z 2022-11-23T01:30:36.3701284Z [2022-11-23 01:28:08,409] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386 2022-11-23T01:30:36.3701649Z [2022-11-23 01:28:08,418] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cvina4brzyull2hl5ureduzj6bi654fgv6uxkx4kb2v22mpxlu7b.py 2022-11-23T01:30:36.3701910Z [2022-11-23 01:28:08,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386 2022-11-23T01:30:36.3701916Z 2022-11-23T01:30:36.3702011Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3702082Z import torch 2022-11-23T01:30:36.3702152Z import random 2022-11-23T01:30:36.3702267Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3702378Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3702396Z 2022-11-23T01:30:36.3702460Z aten = torch.ops.aten 2022-11-23T01:30:36.3702621Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3702715Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3702720Z 2022-11-23T01:30:36.3702724Z 2022-11-23T01:30:36.3702860Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3703063Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3703182Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3703285Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3703384Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3703433Z { 2022-11-23T01:30:36.3703531Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3703594Z { 2022-11-23T01:30:36.3703708Z #pragma omp for 2022-11-23T01:30:36.3703791Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.3703855Z { 2022-11-23T01:30:36.3703905Z { 2022-11-23T01:30:36.3704113Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3704193Z float tmp3 = 0; 2022-11-23T01:30:36.3704315Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:30:36.3704406Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.3704473Z { 2022-11-23T01:30:36.3704616Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3704759Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.3704838Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3704922Z tmp3_vec += tmp2; 2022-11-23T01:30:36.3704989Z } 2022-11-23T01:30:36.3705184Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:30:36.3705307Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:30:36.3705397Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.3705466Z { 2022-11-23T01:30:36.3705565Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.3705647Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:36.3705737Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.3705816Z tmp3 += tmp2; 2022-11-23T01:30:36.3705884Z } 2022-11-23T01:30:36.3705967Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.3706032Z } 2022-11-23T01:30:36.3706096Z } 2022-11-23T01:30:36.3706146Z } 2022-11-23T01:30:36.3706206Z } 2022-11-23T01:30:36.3706286Z ''') 2022-11-23T01:30:36.3706293Z 2022-11-23T01:30:36.3706297Z 2022-11-23T01:30:36.3706387Z async_compile.wait(globals()) 2022-11-23T01:30:36.3706463Z del async_compile 2022-11-23T01:30:36.3706467Z 2022-11-23T01:30:36.3706542Z def call(args): 2022-11-23T01:30:36.3706620Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.3706678Z args.clear() 2022-11-23T01:30:36.3706875Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3707038Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3707107Z del arg0_1 2022-11-23T01:30:36.3707176Z del arg1_1 2022-11-23T01:30:36.3707249Z return (buf0, ) 2022-11-23T01:30:36.3707253Z 2022-11-23T01:30:36.3707258Z 2022-11-23T01:30:36.3707335Z if __name__ == "__main__": 2022-11-23T01:30:36.3707449Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3707560Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3707759Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3707953Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3708098Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.3708104Z 2022-11-23T01:30:36.3708173Z ok (0.029s) 2022-11-23T01:30:36.3708473Z test_tanh_cpu (__main__.CpuTests) ... [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3708796Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3709012Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3709251Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3709529Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3709880Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3710228Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3710552Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3710926Z [2022-11-23 01:28:08,423] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3711023Z 2117 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.3711116Z 2 LOAD_METHOD 1 (tanh) 2022-11-23T01:30:36.3711211Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3711299Z 6 CALL_METHOD 1 2022-11-23T01:30:36.3711376Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3711451Z 10 BINARY_ADD 2022-11-23T01:30:36.3711543Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.3711635Z 14 LOAD_METHOD 1 (tanh) 2022-11-23T01:30:36.3711724Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3711811Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3711886Z 20 BINARY_ADD 2022-11-23T01:30:36.3711961Z 22 CALL_METHOD 1 2022-11-23T01:30:36.3712048Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.3712125Z 26 RETURN_VALUE 2022-11-23T01:30:36.3712186Z 2022-11-23T01:30:36.3712192Z 2022-11-23T01:30:36.3712510Z [2022-11-23 01:28:08,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2117 2022-11-23T01:30:36.3712731Z [2022-11-23 01:28:08,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.3713042Z [2022-11-23 01:28:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable()] 2022-11-23T01:30:36.3713293Z [2022-11-23 01:28:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)] 2022-11-23T01:30:36.3713564Z [2022-11-23 01:28:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()] 2022-11-23T01:30:36.3713803Z [2022-11-23 01:28:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.3714080Z [2022-11-23 01:28:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3714325Z [2022-11-23 01:28:08,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.3714686Z [2022-11-23 01:28:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3714963Z [2022-11-23 01:28:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)] 2022-11-23T01:30:36.3715268Z [2022-11-23 01:28:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()] 2022-11-23T01:30:36.3715618Z [2022-11-23 01:28:08,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3715929Z [2022-11-23 01:28:08,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()] 2022-11-23T01:30:36.3716197Z [2022-11-23 01:28:08,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3716473Z [2022-11-23 01:28:08,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3716854Z [2022-11-23 01:28:08,440] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3717098Z [2022-11-23 01:28:08,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3717331Z [2022-11-23 01:28:08,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3717583Z [2022-11-23 01:28:08,441] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3717831Z [2022-11-23 01:28:08,445] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3718022Z [2022-11-23 01:28:08,445] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3718157Z __compiled_fn_395 .3184 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3718248Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3718342Z call_function, tanh, aten.tanh, (ex_0_,), {} 2022-11-23T01:30:36.3718515Z call_function, add, , (tanh, 2), {} 2022-11-23T01:30:36.3718689Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:36.3718795Z call_function, tanh_1, aten.tanh, (add_1,), {} 2022-11-23T01:30:36.3718901Z output, output, output, ((add, tanh_1),), {} 2022-11-23T01:30:36.3718906Z 2022-11-23T01:30:36.3719231Z [2022-11-23 01:28:08,445] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3719327Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3719420Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3719498Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3719590Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3719677Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3719767Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3719845Z 12 RETURN_VALUE 2022-11-23T01:30:36.3719850Z 2022-11-23T01:30:36.3719914Z 2022-11-23T01:30:36.3720328Z [2022-11-23 01:28:08,446] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3720438Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_395) 2022-11-23T01:30:36.3720515Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3720605Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3720683Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3720771Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3720876Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3720979Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3721104Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3721169Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3721271Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3721361Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3721437Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3721524Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.3721599Z 26 RETURN_VALUE 2022-11-23T01:30:36.3721606Z 2022-11-23T01:30:36.3721666Z 2022-11-23T01:30:36.3721839Z [2022-11-23 01:28:08,446] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3721909Z - 2022-11-23T01:30:36.3722027Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3722091Z { 2022-11-23T01:30:36.3722231Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3722449Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3722567Z 'obj_weakref': None 2022-11-23T01:30:36.3722782Z 'guarded_class': 2022-11-23T01:30:36.3722848Z } 2022-11-23T01:30:36.3722914Z 2022-11-23T01:30:36.3722981Z - 2022-11-23T01:30:36.3723108Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3723171Z { 2022-11-23T01:30:36.3723311Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3723416Z 'code': None, 2022-11-23T01:30:36.3723626Z 'obj_weakref': 2022-11-23T01:30:36.3723863Z 'guarded_class': 2022-11-23T01:30:36.3723928Z } 2022-11-23T01:30:36.3723990Z 2022-11-23T01:30:36.3724061Z - 2022-11-23T01:30:36.3724190Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3724252Z { 2022-11-23T01:30:36.3724383Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3724540Z 'code': ['___check_obj_id(model, 140534432599488)'], 2022-11-23T01:30:36.3724658Z 'obj_weakref': None 2022-11-23T01:30:36.3725007Z 'guarded_class': 2022-11-23T01:30:36.3725070Z } 2022-11-23T01:30:36.3725134Z 2022-11-23T01:30:36.3725203Z - 2022-11-23T01:30:36.3725322Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3725372Z { 2022-11-23T01:30:36.3725508Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3725723Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3725840Z 'obj_weakref': None 2022-11-23T01:30:36.3726058Z 'guarded_class': 2022-11-23T01:30:36.3726124Z } 2022-11-23T01:30:36.3726186Z 2022-11-23T01:30:36.3726243Z - 2022-11-23T01:30:36.3726374Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.3726437Z { 2022-11-23T01:30:36.3726555Z 'guard_types': None, 2022-11-23T01:30:36.3726661Z 'code': None, 2022-11-23T01:30:36.3726778Z 'obj_weakref': None 2022-11-23T01:30:36.3726898Z 'guarded_class': None 2022-11-23T01:30:36.3726948Z } 2022-11-23T01:30:36.3727012Z 2022-11-23T01:30:36.3727270Z [2022-11-23 01:28:08,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387 2022-11-23T01:30:36.3727642Z [2022-11-23 01:28:10,014] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2jhmzklf6wsydyygic7enwaummpfqlypapwyz2bcl3p43jyhtfa.py 2022-11-23T01:30:36.3727903Z [2022-11-23 01:28:10,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387 2022-11-23T01:30:36.3727911Z 2022-11-23T01:30:36.3728002Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3728117Z import torch 2022-11-23T01:30:36.3728187Z import random 2022-11-23T01:30:36.3728287Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3728406Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3728411Z 2022-11-23T01:30:36.3728488Z aten = torch.ops.aten 2022-11-23T01:30:36.3728622Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3728712Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3728717Z 2022-11-23T01:30:36.3728721Z 2022-11-23T01:30:36.3728854Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3729058Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3729181Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3729306Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3729401Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.3729462Z { 2022-11-23T01:30:36.3729563Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3729626Z { 2022-11-23T01:30:36.3729701Z #pragma omp for 2022-11-23T01:30:36.3729783Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.3729833Z { 2022-11-23T01:30:36.3729972Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3730175Z auto tmp1 = at::vec::Vectorized(static_cast(-2.0)); 2022-11-23T01:30:36.3730259Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3730342Z auto tmp3 = tmp2.exp(); 2022-11-23T01:30:36.3730474Z auto tmp4 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:30:36.3730557Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:36.3730640Z auto tmp6 = tmp5.reciprocal(); 2022-11-23T01:30:36.3730772Z auto tmp7 = at::vec::Vectorized(static_cast(2.0)); 2022-11-23T01:30:36.3730855Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:30:36.3730977Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:30:36.3731109Z auto tmp10 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.3731196Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:30:36.3731326Z auto tmp12 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.3731410Z auto tmp13 = tmp0 + tmp12; 2022-11-23T01:30:36.3731481Z auto tmp14 = tmp13 * tmp1; 2022-11-23T01:30:36.3731566Z auto tmp15 = tmp14.exp(); 2022-11-23T01:30:36.3731648Z auto tmp16 = tmp15 + tmp4; 2022-11-23T01:30:36.3731748Z auto tmp17 = tmp16.reciprocal(); 2022-11-23T01:30:36.3731829Z auto tmp18 = tmp17 * tmp7; 2022-11-23T01:30:36.3731951Z auto tmp19 = tmp18 - tmp4; 2022-11-23T01:30:36.3732044Z tmp11.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.3732122Z tmp19.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.3732183Z } 2022-11-23T01:30:36.3732279Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3732362Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:30:36.3732424Z { 2022-11-23T01:30:36.3732506Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3732652Z auto tmp1 = static_cast(-2.0); 2022-11-23T01:30:36.3732723Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.3732812Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:30:36.3732912Z auto tmp4 = static_cast(1.0); 2022-11-23T01:30:36.3732993Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:30:36.3733072Z auto tmp6 = 1 / tmp5; 2022-11-23T01:30:36.3733172Z auto tmp7 = static_cast(2.0); 2022-11-23T01:30:36.3733255Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:30:36.3733362Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:30:36.3733462Z auto tmp10 = static_cast(2); 2022-11-23T01:30:36.3733547Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:30:36.3733675Z auto tmp12 = static_cast(1); 2022-11-23T01:30:36.3733760Z auto tmp13 = tmp0 + tmp12; 2022-11-23T01:30:36.3733842Z auto tmp14 = tmp13 * tmp1; 2022-11-23T01:30:36.3733934Z auto tmp15 = std::exp(tmp14); 2022-11-23T01:30:36.3734004Z auto tmp16 = tmp15 + tmp4; 2022-11-23T01:30:36.3734087Z auto tmp17 = 1 / tmp16; 2022-11-23T01:30:36.3734171Z auto tmp18 = tmp17 * tmp7; 2022-11-23T01:30:36.3734295Z auto tmp19 = tmp18 - tmp4; 2022-11-23T01:30:36.3734374Z out_ptr0[i0] = tmp11; 2022-11-23T01:30:36.3734451Z out_ptr1[i0] = tmp19; 2022-11-23T01:30:36.3734518Z } 2022-11-23T01:30:36.3734566Z } 2022-11-23T01:30:36.3734625Z } 2022-11-23T01:30:36.3734703Z ''') 2022-11-23T01:30:36.3734709Z 2022-11-23T01:30:36.3734740Z 2022-11-23T01:30:36.3734834Z async_compile.wait(globals()) 2022-11-23T01:30:36.3734912Z del async_compile 2022-11-23T01:30:36.3734917Z 2022-11-23T01:30:36.3734986Z def call(args): 2022-11-23T01:30:36.3735057Z arg0_1, = args 2022-11-23T01:30:36.3735115Z args.clear() 2022-11-23T01:30:36.3735317Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3735519Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3735686Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.3735754Z del arg0_1 2022-11-23T01:30:36.3735831Z return (buf0, buf1, ) 2022-11-23T01:30:36.3735836Z 2022-11-23T01:30:36.3735840Z 2022-11-23T01:30:36.3735916Z if __name__ == "__main__": 2022-11-23T01:30:36.3736028Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3736139Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3736341Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3736446Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3736454Z 2022-11-23T01:30:36.3736520Z ok (1.596s) 2022-11-23T01:30:36.3736825Z test_tensor1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:10,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3737139Z [2022-11-23 01:28:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3737355Z [2022-11-23 01:28:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3737608Z [2022-11-23 01:28:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3737885Z [2022-11-23 01:28:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3738196Z [2022-11-23 01:28:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3738544Z [2022-11-23 01:28:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3738869Z [2022-11-23 01:28:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3739239Z [2022-11-23 01:28:10,020] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3739335Z 915 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3739426Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3739515Z 4 LOAD_CONST 1 (1) 2022-11-23T01:30:36.3739603Z 6 BUILD_LIST 1 2022-11-23T01:30:36.3739692Z 8 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3739808Z 10 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.3739958Z 12 LOAD_CONST 2 (('device',)) 2022-11-23T01:30:36.3740047Z 14 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3740135Z 16 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3740209Z 18 BINARY_ADD 2022-11-23T01:30:36.3740300Z 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3740387Z 22 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3740393Z 2022-11-23T01:30:36.3740467Z 916 24 LOAD_CONST 3 (5) 2022-11-23T01:30:36.3740553Z 26 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3740642Z 28 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.3740646Z 2022-11-23T01:30:36.3740794Z 915 30 LOAD_CONST 2 (('device',)) 2022-11-23T01:30:36.3740919Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3741005Z 34 BUILD_TUPLE 2 2022-11-23T01:30:36.3741084Z 36 RETURN_VALUE 2022-11-23T01:30:36.3741146Z 2022-11-23T01:30:36.3741150Z 2022-11-23T01:30:36.3741449Z [2022-11-23 01:28:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915 2022-11-23T01:30:36.3741667Z [2022-11-23 01:28:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3742032Z [2022-11-23 01:28:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:30:36.3742360Z [2022-11-23 01:28:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable()] 2022-11-23T01:30:36.3742724Z [2022-11-23 01:28:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3743066Z [2022-11-23 01:28:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3743448Z [2022-11-23 01:28:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.3743842Z [2022-11-23 01:28:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.3744272Z [2022-11-23 01:28:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3744512Z [2022-11-23 01:28:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3744784Z [2022-11-23 01:28:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3745029Z [2022-11-23 01:28:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.3745410Z [2022-11-23 01:28:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3745724Z [2022-11-23 01:28:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:916 2022-11-23T01:30:36.3746078Z [2022-11-23 01:28:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3746495Z [2022-11-23 01:28:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3746922Z [2022-11-23 01:28:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.3747235Z [2022-11-23 01:28:10,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915 2022-11-23T01:30:36.3747670Z [2022-11-23 01:28:10,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:30:36.3748179Z [2022-11-23 01:28:10,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3748447Z [2022-11-23 01:28:10,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3748689Z [2022-11-23 01:28:10,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3749065Z [2022-11-23 01:28:10,025] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3749309Z [2022-11-23 01:28:10,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3749540Z [2022-11-23 01:28:10,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3749782Z [2022-11-23 01:28:10,026] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3750033Z [2022-11-23 01:28:10,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3750220Z [2022-11-23 01:28:10,029] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3750352Z __compiled_fn_396 .3190 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3750441Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3750709Z call_function, tensor, , ([1],), {'device': device(type='cpu')} 2022-11-23T01:30:36.3750891Z call_function, add, , (tensor, ex_0_), {} 2022-11-23T01:30:36.3751154Z call_function, tensor_1, , (5,), {'device': device(type='cpu')} 2022-11-23T01:30:36.3751251Z output, output, output, ((add, tensor_1),), {} 2022-11-23T01:30:36.3751269Z 2022-11-23T01:30:36.3751584Z [2022-11-23 01:28:10,030] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3751679Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3751769Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3751854Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3751945Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3752030Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3752116Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3752179Z 12 RETURN_VALUE 2022-11-23T01:30:36.3752184Z 2022-11-23T01:30:36.3752245Z 2022-11-23T01:30:36.3752570Z [2022-11-23 01:28:10,030] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3752679Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_396) 2022-11-23T01:30:36.3752768Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3752889Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3752968Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3753054Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3753146Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3753245Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3753334Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3753411Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3753510Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3753596Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3753675Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3753750Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.3753823Z 26 RETURN_VALUE 2022-11-23T01:30:36.3753860Z 2022-11-23T01:30:36.3753922Z 2022-11-23T01:30:36.3754102Z [2022-11-23 01:28:10,031] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3754174Z - 2022-11-23T01:30:36.3754291Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3754357Z { 2022-11-23T01:30:36.3754484Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3754672Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3754790Z 'obj_weakref': None 2022-11-23T01:30:36.3755014Z 'guarded_class': 2022-11-23T01:30:36.3755077Z } 2022-11-23T01:30:36.3755139Z 2022-11-23T01:30:36.3755207Z - 2022-11-23T01:30:36.3755314Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:36.3755377Z { 2022-11-23T01:30:36.3755517Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.3755686Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:36.3755896Z 'obj_weakref': 2022-11-23T01:30:36.3756152Z 'guarded_class': 2022-11-23T01:30:36.3756215Z } 2022-11-23T01:30:36.3756266Z 2022-11-23T01:30:36.3756335Z - 2022-11-23T01:30:36.3756459Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3756521Z { 2022-11-23T01:30:36.3756662Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3756766Z 'code': None, 2022-11-23T01:30:36.3756976Z 'obj_weakref': 2022-11-23T01:30:36.3757215Z 'guarded_class': 2022-11-23T01:30:36.3757278Z } 2022-11-23T01:30:36.3757343Z 2022-11-23T01:30:36.3757413Z - 2022-11-23T01:30:36.3757544Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3757606Z { 2022-11-23T01:30:36.3757742Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3757897Z 'code': ['___check_obj_id(model, 140534626723312)'], 2022-11-23T01:30:36.3758023Z 'obj_weakref': None 2022-11-23T01:30:36.3758255Z 'guarded_class': 2022-11-23T01:30:36.3758317Z } 2022-11-23T01:30:36.3758380Z 2022-11-23T01:30:36.3758448Z - 2022-11-23T01:30:36.3758568Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3758619Z { 2022-11-23T01:30:36.3758756Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3758971Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3759087Z 'obj_weakref': None 2022-11-23T01:30:36.3759309Z 'guarded_class': 2022-11-23T01:30:36.3759371Z } 2022-11-23T01:30:36.3759471Z 2022-11-23T01:30:36.3759529Z - 2022-11-23T01:30:36.3759664Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3759725Z { 2022-11-23T01:30:36.3759842Z 'guard_types': None, 2022-11-23T01:30:36.3759951Z 'code': None, 2022-11-23T01:30:36.3760152Z 'obj_weakref': None 2022-11-23T01:30:36.3760275Z 'guarded_class': None 2022-11-23T01:30:36.3760326Z } 2022-11-23T01:30:36.3760389Z 2022-11-23T01:30:36.3760651Z [2022-11-23 01:28:10,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388 2022-11-23T01:30:36.3761025Z [2022-11-23 01:28:11,475] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sp/cspee3enjegfdcnugvpsywoayslcmgyamwj2jfj6h6c42nsshtzu.py 2022-11-23T01:30:36.3761341Z [2022-11-23 01:28:11,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388 2022-11-23T01:30:36.3761347Z 2022-11-23T01:30:36.3761442Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3761512Z import torch 2022-11-23T01:30:36.3761580Z import random 2022-11-23T01:30:36.3761683Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3761802Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3761807Z 2022-11-23T01:30:36.3761885Z aten = torch.ops.aten 2022-11-23T01:30:36.3762016Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3762108Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3762113Z 2022-11-23T01:30:36.3762117Z 2022-11-23T01:30:36.3762249Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3762453Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3762573Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3762663Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3762760Z long* __restrict__ out_ptr1) 2022-11-23T01:30:36.3762821Z { 2022-11-23T01:30:36.3762918Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3762979Z { 2022-11-23T01:30:36.3763055Z #pragma omp for 2022-11-23T01:30:36.3763137Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.3763187Z { 2022-11-23T01:30:36.3763248Z { 2022-11-23T01:30:36.3763313Z { 2022-11-23T01:30:36.3763405Z auto tmp2 = in_ptr0[i0]; 2022-11-23T01:30:36.3763507Z auto tmp0 = static_cast(1); 2022-11-23T01:30:36.3763613Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3763703Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.3763775Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.3763838Z } 2022-11-23T01:30:36.3763903Z } 2022-11-23T01:30:36.3763965Z } 2022-11-23T01:30:36.3764044Z #pragma omp single 2022-11-23T01:30:36.3764106Z { 2022-11-23T01:30:36.3764158Z { 2022-11-23T01:30:36.3764223Z { 2022-11-23T01:30:36.3764324Z auto tmp0 = static_cast(5); 2022-11-23T01:30:36.3764405Z out_ptr1[0] = tmp0; 2022-11-23T01:30:36.3764469Z } 2022-11-23T01:30:36.3764531Z } 2022-11-23T01:30:36.3764591Z } 2022-11-23T01:30:36.3764640Z } 2022-11-23T01:30:36.3764699Z } 2022-11-23T01:30:36.3764897Z ''') 2022-11-23T01:30:36.3764902Z 2022-11-23T01:30:36.3764906Z 2022-11-23T01:30:36.3764996Z async_compile.wait(globals()) 2022-11-23T01:30:36.3765067Z del async_compile 2022-11-23T01:30:36.3765071Z 2022-11-23T01:30:36.3765141Z def call(args): 2022-11-23T01:30:36.3765209Z arg0_1, = args 2022-11-23T01:30:36.3765267Z args.clear() 2022-11-23T01:30:36.3765464Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3765645Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3765861Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.3765934Z del arg0_1 2022-11-23T01:30:36.3766011Z return (buf0, buf1, ) 2022-11-23T01:30:36.3766016Z 2022-11-23T01:30:36.3766020Z 2022-11-23T01:30:36.3766094Z if __name__ == "__main__": 2022-11-23T01:30:36.3766208Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3766319Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3766513Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3766620Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3766624Z 2022-11-23T01:30:36.3766693Z ok (1.461s) 2022-11-23T01:30:36.3766997Z test_tensor2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3767391Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3767609Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3767860Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3768135Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3768440Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3768790Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3769116Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3769487Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3769584Z 923 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3769675Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3769767Z 4 LOAD_GLOBAL 2 (list) 2022-11-23T01:30:36.3769859Z 6 LOAD_GLOBAL 3 (range) 2022-11-23T01:30:36.3769950Z 8 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3770028Z 10 LOAD_CONST 2 (40) 2022-11-23T01:30:36.3770117Z 12 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3770204Z 14 CALL_FUNCTION 3 2022-11-23T01:30:36.3770293Z 16 CALL_FUNCTION 1 2022-11-23T01:30:36.3770383Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3770475Z 20 LOAD_ATTR 4 (device) 2022-11-23T01:30:36.3770622Z 22 LOAD_CONST 3 (('device',)) 2022-11-23T01:30:36.3770699Z 24 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3770786Z 26 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3770859Z 28 BINARY_ADD 2022-11-23T01:30:36.3770934Z 30 RETURN_VALUE 2022-11-23T01:30:36.3770995Z 2022-11-23T01:30:36.3771000Z 2022-11-23T01:30:36.3771314Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:923 2022-11-23T01:30:36.3771531Z [2022-11-23 01:28:11,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3771900Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:30:36.3772257Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable()] 2022-11-23T01:30:36.3772628Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(), BuiltinVariable(list)] 2022-11-23T01:30:36.3773026Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range)] 2022-11-23T01:30:36.3773462Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)] 2022-11-23T01:30:36.3773970Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3774483Z [2022-11-23 01:28:11,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3774871Z [2022-11-23 01:28:11,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), BuiltinVariable(list), RangeVariable()] 2022-11-23T01:30:36.3775213Z [2022-11-23 01:28:11,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3775599Z [2022-11-23 01:28:11,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.3775989Z [2022-11-23 01:28:11,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.3776417Z [2022-11-23 01:28:11,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3776655Z [2022-11-23 01:28:11,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:30:36.3776926Z [2022-11-23 01:28:11,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3777171Z [2022-11-23 01:28:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3777548Z [2022-11-23 01:28:11,485] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3777781Z [2022-11-23 01:28:11,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.3778013Z [2022-11-23 01:28:11,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3778264Z [2022-11-23 01:28:11,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3778512Z [2022-11-23 01:28:11,489] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3778696Z [2022-11-23 01:28:11,490] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3778832Z __compiled_fn_397 .3196 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3778920Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3779289Z call_function, tensor, , ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cpu')} 2022-11-23T01:30:36.3779471Z call_function, add, , (tensor, ex_0_), {} 2022-11-23T01:30:36.3779554Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.3779559Z 2022-11-23T01:30:36.3779883Z [2022-11-23 01:28:11,490] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3779977Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3780068Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3780156Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3780280Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3780363Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3780453Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3780517Z 12 RETURN_VALUE 2022-11-23T01:30:36.3780522Z 2022-11-23T01:30:36.3780582Z 2022-11-23T01:30:36.3780906Z [2022-11-23 01:28:11,490] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3781015Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_397) 2022-11-23T01:30:36.3781104Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3781193Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3781269Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3781342Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3781433Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.3781508Z 12 RETURN_VALUE 2022-11-23T01:30:36.3781515Z 2022-11-23T01:30:36.3781574Z 2022-11-23T01:30:36.3781756Z [2022-11-23 01:28:11,491] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3781826Z - 2022-11-23T01:30:36.3781946Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3781997Z { 2022-11-23T01:30:36.3782138Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3782322Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3782443Z 'obj_weakref': None 2022-11-23T01:30:36.3782669Z 'guarded_class': 2022-11-23T01:30:36.3782734Z } 2022-11-23T01:30:36.3782798Z 2022-11-23T01:30:36.3782854Z - 2022-11-23T01:30:36.3782974Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:36.3783037Z { 2022-11-23T01:30:36.3783174Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.3783342Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:36.3783555Z 'obj_weakref': 2022-11-23T01:30:36.3783806Z 'guarded_class': 2022-11-23T01:30:36.3783870Z } 2022-11-23T01:30:36.3783959Z 2022-11-23T01:30:36.3784027Z - 2022-11-23T01:30:36.3784152Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3784214Z { 2022-11-23T01:30:36.3784358Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3784465Z 'code': None, 2022-11-23T01:30:36.3784661Z 'obj_weakref': 2022-11-23T01:30:36.3784913Z 'guarded_class': 2022-11-23T01:30:36.3784977Z } 2022-11-23T01:30:36.3785044Z 2022-11-23T01:30:36.3785112Z - 2022-11-23T01:30:36.3785243Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3785305Z { 2022-11-23T01:30:36.3785463Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3785633Z 'code': ['___check_obj_id(model, 140534428307888)'], 2022-11-23T01:30:36.3785752Z 'obj_weakref': None 2022-11-23T01:30:36.3785983Z 'guarded_class': 2022-11-23T01:30:36.3786046Z } 2022-11-23T01:30:36.3786110Z 2022-11-23T01:30:36.3786179Z - 2022-11-23T01:30:36.3786286Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3786350Z { 2022-11-23T01:30:36.3786484Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3786701Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3786819Z 'obj_weakref': None 2022-11-23T01:30:36.3787071Z 'guarded_class': 2022-11-23T01:30:36.3787134Z } 2022-11-23T01:30:36.3787197Z 2022-11-23T01:30:36.3787255Z - 2022-11-23T01:30:36.3787381Z global 'list' BUILTIN_MATCH 2022-11-23T01:30:36.3787447Z { 2022-11-23T01:30:36.3787567Z 'guard_types': None, 2022-11-23T01:30:36.3787672Z 'code': None, 2022-11-23T01:30:36.3787788Z 'obj_weakref': None 2022-11-23T01:30:36.3787894Z 'guarded_class': None 2022-11-23T01:30:36.3787958Z } 2022-11-23T01:30:36.3788019Z 2022-11-23T01:30:36.3788087Z - 2022-11-23T01:30:36.3788216Z global 'range' BUILTIN_MATCH 2022-11-23T01:30:36.3788278Z { 2022-11-23T01:30:36.3788395Z 'guard_types': None, 2022-11-23T01:30:36.3788485Z 'code': None, 2022-11-23T01:30:36.3788602Z 'obj_weakref': None 2022-11-23T01:30:36.3788725Z 'guarded_class': None 2022-11-23T01:30:36.3788790Z } 2022-11-23T01:30:36.3788852Z 2022-11-23T01:30:36.3788920Z - 2022-11-23T01:30:36.3789054Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3789104Z { 2022-11-23T01:30:36.3789221Z 'guard_types': None, 2022-11-23T01:30:36.3789327Z 'code': None, 2022-11-23T01:30:36.3789443Z 'obj_weakref': None 2022-11-23T01:30:36.3789561Z 'guarded_class': None 2022-11-23T01:30:36.3789623Z } 2022-11-23T01:30:36.3789673Z 2022-11-23T01:30:36.3789934Z [2022-11-23 01:28:11,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389 2022-11-23T01:30:36.3790302Z [2022-11-23 01:28:12,915] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5br733ol2qxhoxrfrsnofu7tfptuqhy3yohnbpisz26sc2gxiwj.py 2022-11-23T01:30:36.3790567Z [2022-11-23 01:28:12,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389 2022-11-23T01:30:36.3790576Z 2022-11-23T01:30:36.3790668Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3790739Z import torch 2022-11-23T01:30:36.3790808Z import random 2022-11-23T01:30:36.3790922Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3791031Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3791049Z 2022-11-23T01:30:36.3791114Z aten = torch.ops.aten 2022-11-23T01:30:36.3791247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3791339Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3791500Z constant0 = None # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281 2022-11-23T01:30:36.3791505Z 2022-11-23T01:30:36.3791510Z 2022-11-23T01:30:36.3791642Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3791846Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3791966Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.3792070Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3792189Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3792252Z { 2022-11-23T01:30:36.3792350Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3792411Z { 2022-11-23T01:30:36.3792487Z #pragma omp for 2022-11-23T01:30:36.3792568Z for(long i0=0; i0<19; i0+=1) 2022-11-23T01:30:36.3792618Z { 2022-11-23T01:30:36.3792681Z { 2022-11-23T01:30:36.3792746Z { 2022-11-23T01:30:36.3792837Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3792926Z auto tmp2 = in_ptr1[0]; 2022-11-23T01:30:36.3793030Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.3793119Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.3793191Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.3793286Z } 2022-11-23T01:30:36.3793348Z } 2022-11-23T01:30:36.3793409Z } 2022-11-23T01:30:36.3793470Z } 2022-11-23T01:30:36.3793528Z } 2022-11-23T01:30:36.3793609Z ''') 2022-11-23T01:30:36.3793614Z 2022-11-23T01:30:36.3793618Z 2022-11-23T01:30:36.3793693Z async_compile.wait(globals()) 2022-11-23T01:30:36.3793765Z del async_compile 2022-11-23T01:30:36.3793770Z 2022-11-23T01:30:36.3793838Z def call(args): 2022-11-23T01:30:36.3793907Z arg0_1, = args 2022-11-23T01:30:36.3793977Z args.clear() 2022-11-23T01:30:36.3794169Z buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3794339Z kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3794394Z del arg0_1 2022-11-23T01:30:36.3794464Z return (buf0, ) 2022-11-23T01:30:36.3794468Z 2022-11-23T01:30:36.3794472Z 2022-11-23T01:30:36.3794547Z if __name__ == "__main__": 2022-11-23T01:30:36.3794662Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3794783Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3794982Z constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3795172Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3795276Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3795281Z 2022-11-23T01:30:36.3795347Z ok (1.439s) 2022-11-23T01:30:36.3795640Z test_tensor3_cpu (__main__.CpuTests) ... [2022-11-23 01:28:12,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3795955Z [2022-11-23 01:28:12,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3796171Z [2022-11-23 01:28:12,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3796422Z [2022-11-23 01:28:12,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3796704Z [2022-11-23 01:28:12,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3797020Z [2022-11-23 01:28:12,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3797366Z [2022-11-23 01:28:12,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3797688Z [2022-11-23 01:28:12,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3798061Z [2022-11-23 01:28:12,920] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3798157Z 930 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3798233Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3798354Z 4 BUILD_LIST 0 2022-11-23T01:30:36.3798449Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3798539Z 8 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.3798686Z 10 LOAD_CONST 1 (('device',)) 2022-11-23T01:30:36.3798776Z 12 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3798781Z 2022-11-23T01:30:36.3798871Z 931 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3798945Z 16 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3799033Z 18 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3799119Z 20 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3799205Z 22 BUILD_LIST 2 2022-11-23T01:30:36.3799291Z 24 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3799411Z 26 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.3799558Z 28 LOAD_CONST 1 (('device',)) 2022-11-23T01:30:36.3799637Z 30 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3799724Z 32 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3799797Z 34 BINARY_ADD 2022-11-23T01:30:36.3799802Z 2022-11-23T01:30:36.3799897Z 932 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3800068Z 38 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3800158Z 40 BUILD_LIST 0 2022-11-23T01:30:36.3800251Z 42 LOAD_CONST 4 ((1, 2, 3)) 2022-11-23T01:30:36.3800335Z 44 LIST_EXTEND 1 2022-11-23T01:30:36.3800408Z 46 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3800496Z 48 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.3800647Z 50 LOAD_CONST 1 (('device',)) 2022-11-23T01:30:36.3800739Z 52 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3800827Z 54 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3800902Z 56 BINARY_ADD 2022-11-23T01:30:36.3800906Z 2022-11-23T01:30:36.3800998Z 933 58 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3801073Z 60 LOAD_ATTR 1 (tensor) 2022-11-23T01:30:36.3801158Z 62 BUILD_LIST 0 2022-11-23T01:30:36.3801252Z 64 LOAD_CONST 5 ((1, 2, 3, 4)) 2022-11-23T01:30:36.3801339Z 66 LIST_EXTEND 1 2022-11-23T01:30:36.3801426Z 68 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3801512Z 70 LOAD_ATTR 2 (device) 2022-11-23T01:30:36.3801658Z 72 LOAD_CONST 1 (('device',)) 2022-11-23T01:30:36.3801745Z 74 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3801819Z 76 LOAD_FAST 0 (x) 2022-11-23T01:30:36.3801893Z 78 BINARY_ADD 2022-11-23T01:30:36.3801898Z 2022-11-23T01:30:36.3801984Z 929 80 BUILD_TUPLE 4 2022-11-23T01:30:36.3802061Z 82 RETURN_VALUE 2022-11-23T01:30:36.3802123Z 2022-11-23T01:30:36.3802128Z 2022-11-23T01:30:36.3802444Z [2022-11-23 01:28:12,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:930 2022-11-23T01:30:36.3802663Z [2022-11-23 01:28:12,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3803033Z [2022-11-23 01:28:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:30:36.3803345Z [2022-11-23 01:28:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable()] 2022-11-23T01:30:36.3803691Z [2022-11-23 01:28:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3804109Z [2022-11-23 01:28:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.3804503Z [2022-11-23 01:28:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.3805057Z [2022-11-23 01:28:12,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3805370Z [2022-11-23 01:28:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:931 2022-11-23T01:30:36.3805690Z [2022-11-23 01:28:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.3806087Z [2022-11-23 01:28:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3806437Z [2022-11-23 01:28:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3806825Z [2022-11-23 01:28:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3807251Z [2022-11-23 01:28:12,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3807626Z [2022-11-23 01:28:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3808037Z [2022-11-23 01:28:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.3808459Z [2022-11-23 01:28:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.3808920Z [2022-11-23 01:28:12,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3809175Z [2022-11-23 01:28:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3809484Z [2022-11-23 01:28:12,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3809795Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:932 2022-11-23T01:30:36.3810068Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3810494Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3810875Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3811319Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3) [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3811767Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.3812168Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3812604Z [2022-11-23 01:28:12,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.3813086Z [2022-11-23 01:28:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.3813578Z [2022-11-23 01:28:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3813875Z [2022-11-23 01:28:12,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3814210Z [2022-11-23 01:28:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3814526Z [2022-11-23 01:28:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:933 2022-11-23T01:30:36.3814814Z [2022-11-23 01:28:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3815265Z [2022-11-23 01:28:12,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3815668Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3816112Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3816590Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.3817021Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:30:36.3817486Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:30:36.3817990Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:30:36.3818511Z [2022-11-23 01:28:12,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.3818831Z [2022-11-23 01:28:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3819184Z [2022-11-23 01:28:12,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3819524Z [2022-11-23 01:28:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:929 2022-11-23T01:30:36.3819841Z [2022-11-23 01:28:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3820087Z [2022-11-23 01:28:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3820467Z [2022-11-23 01:28:12,930] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3820700Z [2022-11-23 01:28:12,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3820933Z [2022-11-23 01:28:12,930] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3821184Z [2022-11-23 01:28:12,932] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3821433Z [2022-11-23 01:28:12,937] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3821622Z [2022-11-23 01:28:12,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3821755Z __compiled_fn_398 .3202 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3821844Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3822111Z call_function, tensor, , ([],), {'device': device(type='cpu')} 2022-11-23T01:30:36.3822383Z call_function, tensor_1, , ([1, 2],), {'device': device(type='cpu')} 2022-11-23T01:30:36.3822549Z call_function, add, , (tensor_1, 1), {} 2022-11-23T01:30:36.3822827Z call_function, tensor_2, , ([1, 2, 3],), {'device': device(type='cpu')} 2022-11-23T01:30:36.3823008Z call_function, add_1, , (tensor_2, 2), {} 2022-11-23T01:30:36.3823287Z call_function, tensor_3, , ([1, 2, 3, 4],), {'device': device(type='cpu')} 2022-11-23T01:30:36.3823471Z call_function, add_2, , (tensor_3, ex_0_), {} 2022-11-23T01:30:36.3823591Z output, output, output, ((tensor, add, add_1, add_2),), {} 2022-11-23T01:30:36.3823598Z 2022-11-23T01:30:36.3823922Z [2022-11-23 01:28:12,938] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3824016Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3824106Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3824180Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3824273Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3824361Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3824449Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3824524Z 12 RETURN_VALUE 2022-11-23T01:30:36.3824557Z 2022-11-23T01:30:36.3824619Z 2022-11-23T01:30:36.3824946Z [2022-11-23 01:28:12,938] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3825041Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_398) 2022-11-23T01:30:36.3825131Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3825222Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3825298Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3825386Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.3825488Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3825590Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3825677Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3825770Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.3825870Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3825961Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3826036Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.3826133Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3826219Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3826293Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3826380Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3826465Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.3826540Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.3826626Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.3826701Z 38 RETURN_VALUE 2022-11-23T01:30:36.3826706Z 2022-11-23T01:30:36.3826764Z 2022-11-23T01:30:36.3826945Z [2022-11-23 01:28:12,938] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3827005Z - 2022-11-23T01:30:36.3827122Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3827187Z { 2022-11-23T01:30:36.3827330Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3827517Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.3827636Z 'obj_weakref': None 2022-11-23T01:30:36.3827861Z 'guarded_class': 2022-11-23T01:30:36.3827912Z } 2022-11-23T01:30:36.3827976Z 2022-11-23T01:30:36.3828045Z - 2022-11-23T01:30:36.3828168Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:36.3828231Z { 2022-11-23T01:30:36.3828368Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.3828536Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:36.3828733Z 'obj_weakref': 2022-11-23T01:30:36.3828986Z 'guarded_class': 2022-11-23T01:30:36.3829052Z } 2022-11-23T01:30:36.3829117Z 2022-11-23T01:30:36.3829186Z - 2022-11-23T01:30:36.3829309Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3829372Z { 2022-11-23T01:30:36.3829502Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3829610Z 'code': None, 2022-11-23T01:30:36.3829820Z 'obj_weakref': 2022-11-23T01:30:36.3830071Z 'guarded_class': 2022-11-23T01:30:36.3830135Z } 2022-11-23T01:30:36.3830198Z 2022-11-23T01:30:36.3830265Z - 2022-11-23T01:30:36.3830382Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3830447Z { 2022-11-23T01:30:36.3830581Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3830749Z 'code': ['___check_obj_id(model, 140534625219872)'], 2022-11-23T01:30:36.3830901Z 'obj_weakref': None 2022-11-23T01:30:36.3831132Z 'guarded_class': 2022-11-23T01:30:36.3831195Z } 2022-11-23T01:30:36.3831245Z 2022-11-23T01:30:36.3831314Z - 2022-11-23T01:30:36.3831434Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3831500Z { 2022-11-23T01:30:36.3831635Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3831853Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3831970Z 'obj_weakref': None 2022-11-23T01:30:36.3832179Z 'guarded_class': 2022-11-23T01:30:36.3832273Z } 2022-11-23T01:30:36.3832335Z 2022-11-23T01:30:36.3832403Z - 2022-11-23T01:30:36.3832535Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3832602Z { 2022-11-23T01:30:36.3832722Z 'guard_types': None, 2022-11-23T01:30:36.3832814Z 'code': None, 2022-11-23T01:30:36.3832930Z 'obj_weakref': None 2022-11-23T01:30:36.3833051Z 'guarded_class': None 2022-11-23T01:30:36.3833118Z } 2022-11-23T01:30:36.3833180Z 2022-11-23T01:30:36.3833441Z [2022-11-23 01:28:12,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390 2022-11-23T01:30:36.3833808Z [2022-11-23 01:28:14,392] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vs/cvscoq5zhewqw5onfv2hbqw6vqtazluo5nncmnc74knomrbyfibg.py 2022-11-23T01:30:36.3834061Z [2022-11-23 01:28:14,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390 2022-11-23T01:30:36.3834082Z 2022-11-23T01:30:36.3834163Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3834232Z import torch 2022-11-23T01:30:36.3834304Z import random 2022-11-23T01:30:36.3834421Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3834543Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3834548Z 2022-11-23T01:30:36.3834626Z aten = torch.ops.aten 2022-11-23T01:30:36.3834760Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3834839Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3834844Z 2022-11-23T01:30:36.3834861Z 2022-11-23T01:30:36.3834982Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3835185Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3835305Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3835406Z long* __restrict__ out_ptr0, 2022-11-23T01:30:36.3835501Z long* __restrict__ out_ptr1, 2022-11-23T01:30:36.3835603Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.3835665Z { 2022-11-23T01:30:36.3835730Z #pragma GCC ivdep 2022-11-23T01:30:36.3835811Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.3835873Z { 2022-11-23T01:30:36.3835936Z { 2022-11-23T01:30:36.3835999Z { 2022-11-23T01:30:36.3836099Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:36.3836197Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3836272Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:36.3836366Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.3836461Z auto tmp4 = tmp2 ? tmp1 : tmp3; 2022-11-23T01:30:36.3836548Z auto tmp5 = tmp4 + tmp1; 2022-11-23T01:30:36.3836630Z out_ptr0[i0] = tmp5; 2022-11-23T01:30:36.3836693Z } 2022-11-23T01:30:36.3836742Z } 2022-11-23T01:30:36.3836806Z } 2022-11-23T01:30:36.3836879Z #pragma GCC ivdep 2022-11-23T01:30:36.3836957Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:30:36.3837017Z { 2022-11-23T01:30:36.3837079Z { 2022-11-23T01:30:36.3837170Z { 2022-11-23T01:30:36.3837259Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:36.3837352Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.3837437Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:36.3837531Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.3837615Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:36.3837706Z auto tmp5 = static_cast(3); 2022-11-23T01:30:36.3837800Z auto tmp6 = tmp4 ? tmp3 : tmp5; 2022-11-23T01:30:36.3837883Z auto tmp7 = tmp2 ? tmp1 : tmp6; 2022-11-23T01:30:36.3837970Z auto tmp8 = tmp7 + tmp3; 2022-11-23T01:30:36.3838056Z out_ptr1[i0] = tmp8; 2022-11-23T01:30:36.3838153Z } 2022-11-23T01:30:36.3838214Z } 2022-11-23T01:30:36.3838274Z } 2022-11-23T01:30:36.3838371Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3838419Z { 2022-11-23T01:30:36.3838497Z #pragma omp for 2022-11-23T01:30:36.3838577Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.3838639Z { 2022-11-23T01:30:36.3838702Z { 2022-11-23T01:30:36.3838767Z { 2022-11-23T01:30:36.3838847Z auto tmp12 = in_ptr0[i0]; 2022-11-23T01:30:36.3838948Z auto tmp0 = static_cast(i0); 2022-11-23T01:30:36.3839048Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.3839136Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:36.3839235Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.3839323Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:30:36.3839417Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:30:36.3839516Z auto tmp6 = static_cast(3); 2022-11-23T01:30:36.3839592Z auto tmp7 = tmp0 < tmp6; 2022-11-23T01:30:36.3839693Z auto tmp8 = static_cast(4); 2022-11-23T01:30:36.3839788Z auto tmp9 = tmp7 ? tmp6 : tmp8; 2022-11-23T01:30:36.3839884Z auto tmp10 = tmp2 ? tmp5 : tmp9; 2022-11-23T01:30:36.3840081Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:30:36.3840177Z auto tmp13 = tmp11 + tmp12; 2022-11-23T01:30:36.3840261Z out_ptr2[i0] = tmp13; 2022-11-23T01:30:36.3840315Z } 2022-11-23T01:30:36.3840380Z } 2022-11-23T01:30:36.3840445Z } 2022-11-23T01:30:36.3840505Z } 2022-11-23T01:30:36.3840565Z } 2022-11-23T01:30:36.3840649Z ''') 2022-11-23T01:30:36.3840654Z 2022-11-23T01:30:36.3840658Z 2022-11-23T01:30:36.3840748Z async_compile.wait(globals()) 2022-11-23T01:30:36.3840807Z del async_compile 2022-11-23T01:30:36.3840814Z 2022-11-23T01:30:36.3840883Z def call(args): 2022-11-23T01:30:36.3840954Z arg0_1, = args 2022-11-23T01:30:36.3841025Z args.clear() 2022-11-23T01:30:36.3841220Z buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3841408Z buf1 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3841591Z buf2 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.3841767Z buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3841954Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.3842022Z del arg0_1 2022-11-23T01:30:36.3842112Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:36.3842116Z 2022-11-23T01:30:36.3842121Z 2022-11-23T01:30:36.3842196Z if __name__ == "__main__": 2022-11-23T01:30:36.3842308Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3842432Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3842621Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3842755Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.3842773Z 2022-11-23T01:30:36.3842827Z ok (1.477s) 2022-11-23T01:30:36.3843158Z test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3843473Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3843692Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3843946Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3844222Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3844591Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3845048Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3845370Z [2022-11-23 01:28:14,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3845755Z [2022-11-23 01:28:14,423] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3845838Z 4390 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3845929Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3846026Z 4 LOAD_ATTR 2 (prims) 2022-11-23T01:30:36.3846114Z 6 LOAD_ATTR 3 (var) 2022-11-23T01:30:36.3846210Z 8 LOAD_ATTR 4 (default) 2022-11-23T01:30:36.3846215Z 2022-11-23T01:30:36.3846333Z 4391 10 LOAD_FAST 3 (convert_element_type_default) 2022-11-23T01:30:36.3846423Z 12 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3846513Z 14 BUILD_LIST 1 2022-11-23T01:30:36.3846589Z 16 LOAD_CONST 2 (0) 2022-11-23T01:30:36.3846595Z 2022-11-23T01:30:36.3846754Z 4390 18 LOAD_CONST 3 (('correction',)) 2022-11-23T01:30:36.3846846Z 20 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.3846944Z 22 STORE_FAST 6 (var_default) 2022-11-23T01:30:36.3846949Z 2022-11-23T01:30:36.3847042Z 4393 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3847134Z 26 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3847222Z 28 LOAD_ATTR 5 (aten) 2022-11-23T01:30:36.3847299Z 30 LOAD_ATTR 6 (sub) 2022-11-23T01:30:36.3847393Z 32 LOAD_METHOD 7 (Tensor) 2022-11-23T01:30:36.3847489Z 34 LOAD_FAST 2 (add_tensor) 2022-11-23T01:30:36.3847584Z 36 LOAD_FAST 4 (div_default) 2022-11-23T01:30:36.3847670Z 38 CALL_METHOD 2 2022-11-23T01:30:36.3847766Z 40 STORE_FAST 7 (sub_tensor) 2022-11-23T01:30:36.3847770Z 2022-11-23T01:30:36.3847861Z 4394 42 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3847948Z 44 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3848025Z 46 LOAD_ATTR 5 (aten) 2022-11-23T01:30:36.3848112Z 48 LOAD_ATTR 8 (mul) 2022-11-23T01:30:36.3848206Z 50 LOAD_METHOD 7 (Tensor) 2022-11-23T01:30:36.3848301Z 52 LOAD_FAST 7 (sub_tensor) 2022-11-23T01:30:36.3848463Z 54 LOAD_FAST 5 (reciprocal_default) 2022-11-23T01:30:36.3848553Z 56 CALL_METHOD 2 2022-11-23T01:30:36.3848653Z 58 STORE_FAST 8 (mul_tensor_1) 2022-11-23T01:30:36.3848659Z 2022-11-23T01:30:36.3848750Z 4395 60 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3848826Z 62 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3848916Z 64 LOAD_ATTR 5 (aten) 2022-11-23T01:30:36.3849005Z 66 LOAD_ATTR 8 (mul) 2022-11-23T01:30:36.3849099Z 68 LOAD_METHOD 7 (Tensor) 2022-11-23T01:30:36.3849195Z 70 LOAD_FAST 8 (mul_tensor_1) 2022-11-23T01:30:36.3849293Z 72 LOAD_FAST 0 (primals_3) 2022-11-23T01:30:36.3849427Z 74 CALL_METHOD 2 2022-11-23T01:30:36.3849515Z 76 STORE_FAST 9 (mul_tensor_2) 2022-11-23T01:30:36.3849520Z 2022-11-23T01:30:36.3849615Z 4396 78 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3849702Z 80 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3849791Z 82 LOAD_ATTR 5 (aten) 2022-11-23T01:30:36.3849880Z 84 LOAD_ATTR 9 (add) 2022-11-23T01:30:36.3849973Z 86 LOAD_METHOD 7 (Tensor) 2022-11-23T01:30:36.3850072Z 88 LOAD_FAST 9 (mul_tensor_2) 2022-11-23T01:30:36.3850168Z 90 LOAD_FAST 1 (primals_4) 2022-11-23T01:30:36.3850242Z 92 CALL_METHOD 2 2022-11-23T01:30:36.3850340Z 94 STORE_FAST 10 (add_tensor_2) 2022-11-23T01:30:36.3850345Z 2022-11-23T01:30:36.3850437Z 4398 96 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3850525Z 98 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3850616Z 100 LOAD_ATTR 2 (prims) 2022-11-23T01:30:36.3850726Z 102 LOAD_ATTR 10 (convert_element_type) 2022-11-23T01:30:36.3850823Z 104 LOAD_METHOD 4 (default) 2022-11-23T01:30:36.3850827Z 2022-11-23T01:30:36.3850926Z 4399 106 LOAD_FAST 10 (add_tensor_2) 2022-11-23T01:30:36.3851005Z 108 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3851099Z 110 LOAD_ATTR 11 (float32) 2022-11-23T01:30:36.3851103Z 2022-11-23T01:30:36.3851190Z 4398 112 CALL_METHOD 2 2022-11-23T01:30:36.3851196Z 2022-11-23T01:30:36.3851318Z 4397 114 STORE_FAST 11 (convert_element_type_default_1) 2022-11-23T01:30:36.3851323Z 2022-11-23T01:30:36.3851413Z 4403 116 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3851502Z 118 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3851593Z 120 LOAD_ATTR 2 (prims) 2022-11-23T01:30:36.3851700Z 122 LOAD_ATTR 10 (convert_element_type) 2022-11-23T01:30:36.3851785Z 124 LOAD_METHOD 4 (default) 2022-11-23T01:30:36.3851789Z 2022-11-23T01:30:36.3851910Z 4404 126 LOAD_FAST 11 (convert_element_type_default_1) 2022-11-23T01:30:36.3852001Z 128 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3852095Z 130 LOAD_ATTR 11 (float32) 2022-11-23T01:30:36.3852100Z 2022-11-23T01:30:36.3852185Z 4403 132 CALL_METHOD 2 2022-11-23T01:30:36.3852189Z 2022-11-23T01:30:36.3852308Z 4402 134 STORE_FAST 12 (convert_element_type_default_2) 2022-11-23T01:30:36.3852313Z 2022-11-23T01:30:36.3852402Z 4407 136 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3852491Z 138 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3852582Z 140 LOAD_ATTR 2 (prims) 2022-11-23T01:30:36.3852658Z 142 LOAD_ATTR 3 (var) 2022-11-23T01:30:36.3852776Z 144 LOAD_ATTR 4 (default) 2022-11-23T01:30:36.3852781Z 2022-11-23T01:30:36.3852900Z 4408 146 LOAD_FAST 12 (convert_element_type_default_2) 2022-11-23T01:30:36.3852989Z 148 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3853075Z 150 BUILD_LIST 1 2022-11-23T01:30:36.3853162Z 152 LOAD_CONST 2 (0) 2022-11-23T01:30:36.3853167Z 2022-11-23T01:30:36.3853328Z 4407 154 LOAD_CONST 3 (('correction',)) 2022-11-23T01:30:36.3853418Z 156 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.3853507Z 158 STORE_FAST 13 (var_default_1) 2022-11-23T01:30:36.3853512Z 2022-11-23T01:30:36.3853603Z 4410 160 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3853690Z 162 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3853817Z 164 LOAD_ATTR 2 (prims) 2022-11-23T01:30:36.3853920Z 166 LOAD_ATTR 12 (broadcast_in_dim) 2022-11-23T01:30:36.3854016Z 168 LOAD_METHOD 4 (default) 2022-11-23T01:30:36.3854021Z 2022-11-23T01:30:36.3854120Z 4411 170 LOAD_FAST 13 (var_default_1) 2022-11-23T01:30:36.3854205Z 172 BUILD_LIST 0 2022-11-23T01:30:36.3854286Z 174 LOAD_CONST 4 ((1, 512, 1)) 2022-11-23T01:30:36.3854372Z 176 LIST_EXTEND 1 2022-11-23T01:30:36.3854460Z 178 LOAD_CONST 2 (0) 2022-11-23T01:30:36.3854549Z 180 LOAD_CONST 5 (1) 2022-11-23T01:30:36.3854634Z 182 BUILD_LIST 2 2022-11-23T01:30:36.3854638Z 2022-11-23T01:30:36.3854723Z 4410 184 CALL_METHOD 3 2022-11-23T01:30:36.3854840Z 186 STORE_FAST 14 (broadcast_in_dim_default_2) 2022-11-23T01:30:36.3854848Z 2022-11-23T01:30:36.3854938Z 4413 188 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3855015Z 190 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3855105Z 192 LOAD_ATTR 2 (prims) 2022-11-23T01:30:36.3855192Z 194 LOAD_ATTR 13 (sum) 2022-11-23T01:30:36.3855286Z 196 LOAD_METHOD 4 (default) 2022-11-23T01:30:36.3855290Z 2022-11-23T01:30:36.3855410Z 4414 198 LOAD_FAST 12 (convert_element_type_default_2) 2022-11-23T01:30:36.3855497Z 200 LOAD_CONST 1 (2) 2022-11-23T01:30:36.3855582Z 202 BUILD_LIST 1 2022-11-23T01:30:36.3855586Z 2022-11-23T01:30:36.3855671Z 4413 204 CALL_METHOD 2 2022-11-23T01:30:36.3855761Z 206 STORE_FAST 15 (sum_default_1) 2022-11-23T01:30:36.3855766Z 2022-11-23T01:30:36.3855857Z 4416 208 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3855948Z 210 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3856036Z 212 LOAD_ATTR 5 (aten) 2022-11-23T01:30:36.3856124Z 214 LOAD_ATTR 9 (add) 2022-11-23T01:30:36.3856216Z 216 LOAD_METHOD 7 (Tensor) 2022-11-23T01:30:36.3856330Z 218 LOAD_FAST 14 (broadcast_in_dim_default_2) 2022-11-23T01:30:36.3856458Z 220 LOAD_CONST 6 (1e-05) 2022-11-23T01:30:36.3856544Z 222 CALL_METHOD 2 2022-11-23T01:30:36.3856645Z 224 STORE_FAST 16 (add_tensor_3) 2022-11-23T01:30:36.3856650Z 2022-11-23T01:30:36.3856747Z 4417 226 LOAD_FAST 6 (var_default) 2022-11-23T01:30:36.3856847Z 228 LOAD_FAST 15 (sum_default_1) 2022-11-23T01:30:36.3856945Z 230 LOAD_FAST 16 (add_tensor_3) 2022-11-23T01:30:36.3857034Z 232 BUILD_TUPLE 3 2022-11-23T01:30:36.3857112Z 234 RETURN_VALUE 2022-11-23T01:30:36.3857160Z 2022-11-23T01:30:36.3857164Z 2022-11-23T01:30:36.3857513Z [2022-11-23 01:28:14,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390 2022-11-23T01:30:36.3857738Z [2022-11-23 01:28:14,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3858104Z [2022-11-23 01:28:14,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3858398Z [2022-11-23 01:28:14,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:36.3858702Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable()] 2022-11-23T01:30:36.3858988Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)] 2022-11-23T01:30:36.3859301Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4391 2022-11-23T01:30:36.3859607Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)] 2022-11-23T01:30:36.3859898Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()] 2022-11-23T01:30:36.3860298Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3860673Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3860989Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390 2022-11-23T01:30:36.3861363Z [2022-11-23 01:28:14,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3861773Z [2022-11-23 01:28:14,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:36.3862026Z [2022-11-23 01:28:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()] 2022-11-23T01:30:36.3862336Z [2022-11-23 01:28:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4393 2022-11-23T01:30:36.3862553Z [2022-11-23 01:28:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3862913Z [2022-11-23 01:28:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3863206Z [2022-11-23 01:28:14,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3863507Z [2022-11-23 01:28:14,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:30:36.3863760Z [2022-11-23 01:28:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)] 2022-11-23T01:30:36.3864018Z [2022-11-23 01:28:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)] 2022-11-23T01:30:36.3864318Z [2022-11-23 01:28:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()] 2022-11-23T01:30:36.3864705Z [2022-11-23 01:28:14,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3864959Z [2022-11-23 01:28:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()] 2022-11-23T01:30:36.3865271Z [2022-11-23 01:28:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4394 2022-11-23T01:30:36.3865489Z [2022-11-23 01:28:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3865848Z [2022-11-23 01:28:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3866137Z [2022-11-23 01:28:14,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3866471Z [2022-11-23 01:28:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable()] 2022-11-23T01:30:36.3866728Z [2022-11-23 01:28:14,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)] 2022-11-23T01:30:36.3866984Z [2022-11-23 01:28:14,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)] 2022-11-23T01:30:36.3867299Z [2022-11-23 01:28:14,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()] 2022-11-23T01:30:36.3867619Z [2022-11-23 01:28:14,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3867869Z [2022-11-23 01:28:14,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()] 2022-11-23T01:30:36.3868183Z [2022-11-23 01:28:14,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4395 2022-11-23T01:30:36.3868398Z [2022-11-23 01:28:14,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3868757Z [2022-11-23 01:28:14,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3869046Z [2022-11-23 01:28:14,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3869344Z [2022-11-23 01:28:14,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable()] 2022-11-23T01:30:36.3869600Z [2022-11-23 01:28:14,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)] 2022-11-23T01:30:36.3869876Z [2022-11-23 01:28:14,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)] 2022-11-23T01:30:36.3870161Z [2022-11-23 01:28:14,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()] 2022-11-23T01:30:36.3870485Z [2022-11-23 01:28:14,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3870734Z [2022-11-23 01:28:14,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()] 2022-11-23T01:30:36.3871045Z [2022-11-23 01:28:14,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4396 2022-11-23T01:30:36.3871263Z [2022-11-23 01:28:14,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3871626Z [2022-11-23 01:28:14,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3871944Z [2022-11-23 01:28:14,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3872246Z [2022-11-23 01:28:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:36.3872500Z [2022-11-23 01:28:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)] 2022-11-23T01:30:36.3872773Z [2022-11-23 01:28:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)] 2022-11-23T01:30:36.3873059Z [2022-11-23 01:28:14,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()] 2022-11-23T01:30:36.3873406Z [2022-11-23 01:28:14,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3873660Z [2022-11-23 01:28:14,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()] 2022-11-23T01:30:36.3873971Z [2022-11-23 01:28:14,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398 2022-11-23T01:30:36.3874190Z [2022-11-23 01:28:14,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3874549Z [2022-11-23 01:28:14,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3874838Z [2022-11-23 01:28:14,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:36.3875168Z [2022-11-23 01:28:14,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable()] 2022-11-23T01:30:36.3875456Z [2022-11-23 01:28:14,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)] 2022-11-23T01:30:36.3875763Z [2022-11-23 01:28:14,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4399 2022-11-23T01:30:36.3876065Z [2022-11-23 01:28:14,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)] 2022-11-23T01:30:36.3876378Z [2022-11-23 01:28:14,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()] 2022-11-23T01:30:36.3876860Z [2022-11-23 01:28:14,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3877178Z [2022-11-23 01:28:14,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398 2022-11-23T01:30:36.3877541Z [2022-11-23 01:28:14,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:30:36.3877852Z [2022-11-23 01:28:14,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4397 2022-11-23T01:30:36.3878133Z [2022-11-23 01:28:14,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()] 2022-11-23T01:30:36.3878438Z [2022-11-23 01:28:14,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403 2022-11-23T01:30:36.3878656Z [2022-11-23 01:28:14,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3879047Z [2022-11-23 01:28:14,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3879339Z [2022-11-23 01:28:14,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:36.3879665Z [2022-11-23 01:28:14,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable()] 2022-11-23T01:30:36.3879950Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)] 2022-11-23T01:30:36.3880337Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4404 2022-11-23T01:30:36.3880706Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)] 2022-11-23T01:30:36.3881032Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()] 2022-11-23T01:30:36.3881510Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3881822Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403 2022-11-23T01:30:36.3882184Z [2022-11-23 01:28:14,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:30:36.3882499Z [2022-11-23 01:28:14,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4402 2022-11-23T01:30:36.3882780Z [2022-11-23 01:28:14,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()] 2022-11-23T01:30:36.3883087Z [2022-11-23 01:28:14,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407 2022-11-23T01:30:36.3883305Z [2022-11-23 01:28:14,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3883663Z [2022-11-23 01:28:14,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3883953Z [2022-11-23 01:28:14,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:36.3884249Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable()] 2022-11-23T01:30:36.3884507Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)] 2022-11-23T01:30:36.3884956Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4408 2022-11-23T01:30:36.3885268Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)] 2022-11-23T01:30:36.3885561Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()] 2022-11-23T01:30:36.3885893Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3886265Z [2022-11-23 01:28:14,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3886574Z [2022-11-23 01:28:14,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407 2022-11-23T01:30:36.3886950Z [2022-11-23 01:28:14,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3887358Z [2022-11-23 01:28:14,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:36.3887616Z [2022-11-23 01:28:14,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()] 2022-11-23T01:30:36.3887954Z [2022-11-23 01:28:14,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410 2022-11-23T01:30:36.3888172Z [2022-11-23 01:28:14,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3888530Z [2022-11-23 01:28:14,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3888825Z [2022-11-23 01:28:14,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:36.3889147Z [2022-11-23 01:28:14,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable()] 2022-11-23T01:30:36.3889425Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)] 2022-11-23T01:30:36.3889739Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4411 2022-11-23T01:30:36.3890038Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)] 2022-11-23T01:30:36.3890349Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()] 2022-11-23T01:30:36.3890695Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 512, 1) [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3891072Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.3891397Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3891770Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3892184Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.3892494Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410 2022-11-23T01:30:36.3892857Z [2022-11-23 01:28:14,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.3893137Z [2022-11-23 01:28:14,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()] 2022-11-23T01:30:36.3893477Z [2022-11-23 01:28:14,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413 2022-11-23T01:30:36.3893696Z [2022-11-23 01:28:14,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3894057Z [2022-11-23 01:28:14,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3894350Z [2022-11-23 01:28:14,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:30:36.3894651Z [2022-11-23 01:28:14,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:30:36.3894952Z [2022-11-23 01:28:14,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)] 2022-11-23T01:30:36.3895253Z [2022-11-23 01:28:14,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4414 2022-11-23T01:30:36.3895562Z [2022-11-23 01:28:14,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)] 2022-11-23T01:30:36.3895854Z [2022-11-23 01:28:14,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()] 2022-11-23T01:30:36.3896183Z [2022-11-23 01:28:14,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3896494Z [2022-11-23 01:28:14,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413 2022-11-23T01:30:36.3896818Z [2022-11-23 01:28:14,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.3897073Z [2022-11-23 01:28:14,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()] 2022-11-23T01:30:36.3897379Z [2022-11-23 01:28:14,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4416 2022-11-23T01:30:36.3897596Z [2022-11-23 01:28:14,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3897955Z [2022-11-23 01:28:14,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3898242Z [2022-11-23 01:28:14,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3898530Z [2022-11-23 01:28:14,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:30:36.3898787Z [2022-11-23 01:28:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)] 2022-11-23T01:30:36.3899083Z [2022-11-23 01:28:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)] 2022-11-23T01:30:36.3899378Z [2022-11-23 01:28:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()] 2022-11-23T01:30:36.3899711Z [2022-11-23 01:28:14,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.3899964Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()] 2022-11-23T01:30:36.3900274Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4417 2022-11-23T01:30:36.3900529Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default [] 2022-11-23T01:30:36.3900780Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()] 2022-11-23T01:30:36.3901060Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3901341Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3901587Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3901971Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3902249Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3902483Z [2022-11-23 01:28:14,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3902735Z [2022-11-23 01:28:14,517] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3902981Z [2022-11-23 01:28:14,528] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3903166Z [2022-11-23 01:28:14,528] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3903301Z __compiled_fn_399 .3208 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3903378Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3903464Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3903551Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.3903635Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:30:36.3903718Z placeholder, ex_4_, ex_4_, (), {} 2022-11-23T01:30:36.3903802Z placeholder, ex_5_, ex_5_, (), {} 2022-11-23T01:30:36.3904009Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0} 2022-11-23T01:30:36.3904123Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {} 2022-11-23T01:30:36.3904257Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {} 2022-11-23T01:30:36.3904390Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {} 2022-11-23T01:30:36.3904521Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {} 2022-11-23T01:30:36.3904712Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {} 2022-11-23T01:30:36.3904921Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {} 2022-11-23T01:30:36.3905183Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0} 2022-11-23T01:30:36.3905360Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {} 2022-11-23T01:30:36.3905519Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {} 2022-11-23T01:30:36.3905725Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {} 2022-11-23T01:30:36.3905859Z output, output, output, ((var_default, sum_default, add_tensor_1),), {} 2022-11-23T01:30:36.3905868Z 2022-11-23T01:30:36.3906190Z [2022-11-23 01:28:14,529] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3906284Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3906374Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3906464Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3906554Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3906639Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3906739Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3906817Z 12 RETURN_VALUE 2022-11-23T01:30:36.3906822Z 2022-11-23T01:30:36.3906882Z 2022-11-23T01:30:36.3907201Z [2022-11-23 01:28:14,529] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3907308Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_399) 2022-11-23T01:30:36.3907399Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3907488Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3907565Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3907642Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3907729Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3907833Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3907917Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3908004Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3908078Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.3908162Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3908234Z 22 LOAD_CONST 4 (3) 2022-11-23T01:30:36.3908309Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.3908392Z 26 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3908476Z 28 LOAD_CONST 5 (4) 2022-11-23T01:30:36.3908549Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.3908632Z 32 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3908716Z 34 LOAD_CONST 6 (5) 2022-11-23T01:30:36.3908777Z 36 BINARY_SUBSCR 2022-11-23T01:30:36.3908867Z 38 CALL_FUNCTION 6 2022-11-23T01:30:36.3908972Z 40 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3909076Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3909168Z 44 LOAD_CONST 1 (0) 2022-11-23T01:30:36.3909242Z 46 BINARY_SUBSCR 2022-11-23T01:30:36.3909341Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3909415Z 50 LOAD_CONST 2 (1) 2022-11-23T01:30:36.3909489Z 52 BINARY_SUBSCR 2022-11-23T01:30:36.3909588Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3909674Z 56 LOAD_CONST 3 (2) 2022-11-23T01:30:36.3909748Z 58 BINARY_SUBSCR 2022-11-23T01:30:36.3909835Z 60 BUILD_TUPLE 3 2022-11-23T01:30:36.3909910Z 62 RETURN_VALUE 2022-11-23T01:30:36.3909915Z 2022-11-23T01:30:36.3909963Z 2022-11-23T01:30:36.3910144Z [2022-11-23 01:28:14,530] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3910216Z - 2022-11-23T01:30:36.3910336Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3910400Z { 2022-11-23T01:30:36.3910541Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3910725Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 6'], 2022-11-23T01:30:36.3910830Z 'obj_weakref': None 2022-11-23T01:30:36.3911056Z 'guarded_class': 2022-11-23T01:30:36.3911121Z } 2022-11-23T01:30:36.3911184Z 2022-11-23T01:30:36.3911252Z - 2022-11-23T01:30:36.3911374Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3911436Z { 2022-11-23T01:30:36.3911565Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3911670Z 'code': None, 2022-11-23T01:30:36.3911881Z 'obj_weakref': 2022-11-23T01:30:36.3912135Z 'guarded_class': 2022-11-23T01:30:36.3912199Z } 2022-11-23T01:30:36.3912260Z 2022-11-23T01:30:36.3912359Z - 2022-11-23T01:30:36.3912470Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3912534Z { 2022-11-23T01:30:36.3912676Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3912781Z 'code': None, 2022-11-23T01:30:36.3912990Z 'obj_weakref': 2022-11-23T01:30:36.3913238Z 'guarded_class': 2022-11-23T01:30:36.3913301Z } 2022-11-23T01:30:36.3913363Z 2022-11-23T01:30:36.3913420Z - 2022-11-23T01:30:36.3913542Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.3913605Z { 2022-11-23T01:30:36.3913745Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3913881Z 'code': None, 2022-11-23T01:30:36.3914088Z 'obj_weakref': 2022-11-23T01:30:36.3914341Z 'guarded_class': 2022-11-23T01:30:36.3914392Z } 2022-11-23T01:30:36.3914454Z 2022-11-23T01:30:36.3914522Z - 2022-11-23T01:30:36.3914644Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.3914706Z { 2022-11-23T01:30:36.3914846Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3914939Z 'code': None, 2022-11-23T01:30:36.3915145Z 'obj_weakref': 2022-11-23T01:30:36.3915392Z 'guarded_class': 2022-11-23T01:30:36.3915456Z } 2022-11-23T01:30:36.3915521Z 2022-11-23T01:30:36.3915590Z - 2022-11-23T01:30:36.3915711Z local 'ex[4]' TENSOR_MATCH 2022-11-23T01:30:36.3915760Z { 2022-11-23T01:30:36.3915905Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3916011Z 'code': None, 2022-11-23T01:30:36.3916218Z 'obj_weakref': 2022-11-23T01:30:36.3916465Z 'guarded_class': 2022-11-23T01:30:36.3916528Z } 2022-11-23T01:30:36.3916591Z 2022-11-23T01:30:36.3916658Z - 2022-11-23T01:30:36.3916767Z local 'ex[5]' TENSOR_MATCH 2022-11-23T01:30:36.3916829Z { 2022-11-23T01:30:36.3916969Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3917075Z 'code': None, 2022-11-23T01:30:36.3917286Z 'obj_weakref': 2022-11-23T01:30:36.3917537Z 'guarded_class': 2022-11-23T01:30:36.3917603Z } 2022-11-23T01:30:36.3917654Z 2022-11-23T01:30:36.3917722Z - 2022-11-23T01:30:36.3917852Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3917914Z { 2022-11-23T01:30:36.3918046Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3918218Z 'code': ['___check_obj_id(model, 140534429639312)'], 2022-11-23T01:30:36.3918335Z 'obj_weakref': None 2022-11-23T01:30:36.3918554Z 'guarded_class': 2022-11-23T01:30:36.3918617Z } 2022-11-23T01:30:36.3918679Z 2022-11-23T01:30:36.3918747Z - 2022-11-23T01:30:36.3918869Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3918932Z { 2022-11-23T01:30:36.3919057Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3919273Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3919416Z 'obj_weakref': None 2022-11-23T01:30:36.3919638Z 'guarded_class': 2022-11-23T01:30:36.3919701Z } 2022-11-23T01:30:36.3919763Z 2022-11-23T01:30:36.3919832Z - 2022-11-23T01:30:36.3919952Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3920100Z { 2022-11-23T01:30:36.3920229Z 'guard_types': None, 2022-11-23T01:30:36.3920335Z 'code': None, 2022-11-23T01:30:36.3920453Z 'obj_weakref': None 2022-11-23T01:30:36.3920573Z 'guarded_class': None 2022-11-23T01:30:36.3920634Z } 2022-11-23T01:30:36.3920685Z 2022-11-23T01:30:36.3920752Z - 2022-11-23T01:30:36.3920942Z global 'torch.float32' CONSTANT_MATCH 2022-11-23T01:30:36.3921006Z { 2022-11-23T01:30:36.3921149Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.3921325Z 'code': ["str(torch.float32) == 'torch.float32'"], 2022-11-23T01:30:36.3921443Z 'obj_weakref': None 2022-11-23T01:30:36.3921653Z 'guarded_class': 2022-11-23T01:30:36.3921718Z } 2022-11-23T01:30:36.3921781Z 2022-11-23T01:30:36.3922040Z [2022-11-23 01:28:14,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391 2022-11-23T01:30:36.3922045Z 2022-11-23T01:30:36.3922140Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3922209Z import torch 2022-11-23T01:30:36.3922278Z import random 2022-11-23T01:30:36.3922380Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3922500Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3922508Z 2022-11-23T01:30:36.3922585Z aten = torch.ops.aten 2022-11-23T01:30:36.3922719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3922813Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3922819Z 2022-11-23T01:30:36.3922823Z 2022-11-23T01:30:36.3922956Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3923161Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3923278Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.3923381Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:36.3923474Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3923576Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3923678Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.3923780Z const float* __restrict__ in_ptr3, 2022-11-23T01:30:36.3923883Z const float* __restrict__ in_ptr4, 2022-11-23T01:30:36.3923982Z const float* __restrict__ in_ptr5, 2022-11-23T01:30:36.3924082Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.3924164Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.3924259Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.3924352Z float* __restrict__ out_ptr5) 2022-11-23T01:30:36.3924414Z { 2022-11-23T01:30:36.3924500Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.3924583Z auto out_ptr4 = in_out_ptr1; 2022-11-23T01:30:36.3924682Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3924731Z { 2022-11-23T01:30:36.3924926Z #pragma omp for 2022-11-23T01:30:36.3925009Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:30:36.3925072Z { 2022-11-23T01:30:36.3925136Z { 2022-11-23T01:30:36.3925346Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3925428Z float tmp1 = 0; 2022-11-23T01:30:36.3925588Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.3925681Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:36.3925747Z { 2022-11-23T01:30:36.3925894Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (1024*i0)); 2022-11-23T01:30:36.3925977Z tmp1_vec += tmp0; 2022-11-23T01:30:36.3926043Z } 2022-11-23T01:30:36.3926238Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.3926357Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.3926438Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:30:36.3926503Z { 2022-11-23T01:30:36.3926602Z auto tmp0 = in_ptr0[i1 + (1024*i0)]; 2022-11-23T01:30:36.3926714Z tmp1 += tmp0; 2022-11-23T01:30:36.3926779Z } 2022-11-23T01:30:36.3926864Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.3926927Z } 2022-11-23T01:30:36.3926976Z } 2022-11-23T01:30:36.3927053Z #pragma omp for 2022-11-23T01:30:36.3927135Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:30:36.3927197Z { 2022-11-23T01:30:36.3927259Z { 2022-11-23T01:30:36.3927446Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3927523Z float tmp6 = 0; 2022-11-23T01:30:36.3927631Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3927721Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:36.3927785Z { 2022-11-23T01:30:36.3927928Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (1024*i0)); 2022-11-23T01:30:36.3928059Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:36.3928198Z auto tmp2 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:30:36.3928289Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3928429Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3928506Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3928588Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3928653Z } 2022-11-23T01:30:36.3928849Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3928969Z #pragma omp simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:30:36.3929060Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:30:36.3929124Z { 2022-11-23T01:30:36.3929224Z auto tmp0 = in_ptr0[i1 + (1024*i0)]; 2022-11-23T01:30:36.3929306Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:30:36.3929410Z auto tmp2 = static_cast(1024); 2022-11-23T01:30:36.3929503Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3929638Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3929726Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3929803Z tmp6 += tmp5; 2022-11-23T01:30:36.3929869Z } 2022-11-23T01:30:36.3929938Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:36.3930002Z } 2022-11-23T01:30:36.3930064Z } 2022-11-23T01:30:36.3930142Z #pragma omp for 2022-11-23T01:30:36.3930224Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:30:36.3930286Z { 2022-11-23T01:30:36.3930348Z { 2022-11-23T01:30:36.3930520Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3930601Z float tmp9 = 0; 2022-11-23T01:30:36.3930722Z auto tmp9_vec = at::vec::Vectorized(tmp9); 2022-11-23T01:30:36.3930841Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:36.3930907Z { 2022-11-23T01:30:36.3931049Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (1024*i0)); 2022-11-23T01:30:36.3931174Z auto tmp1 = at::vec::Vectorized(in_ptr2[i0]); 2022-11-23T01:30:36.3931297Z auto tmp3 = at::vec::Vectorized(in_ptr3[i0]); 2022-11-23T01:30:36.3931419Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr4 + 8*i1); 2022-11-23T01:30:36.3931550Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr5 + 8*i1); 2022-11-23T01:30:36.3931688Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:36.3931778Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:36.3931896Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.3931983Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.3932090Z tmp8.store(out_ptr2 + (8*i1) + (1024*i0)); 2022-11-23T01:30:36.3932172Z tmp9_vec += tmp8; 2022-11-23T01:30:36.3932224Z } 2022-11-23T01:30:36.3932420Z tmp9 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp9_vec); 2022-11-23T01:30:36.3932539Z #pragma omp simd simdlen(4) reduction(+:tmp9) 2022-11-23T01:30:36.3932630Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:30:36.3932695Z { 2022-11-23T01:30:36.3932793Z auto tmp0 = in_ptr1[i1 + (1024*i0)]; 2022-11-23T01:30:36.3932882Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:30:36.3932957Z auto tmp3 = in_ptr3[i0]; 2022-11-23T01:30:36.3933043Z auto tmp5 = in_ptr4[i1]; 2022-11-23T01:30:36.3933133Z auto tmp7 = in_ptr5[i1]; 2022-11-23T01:30:36.3933266Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:30:36.3933354Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:36.3933441Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.3933526Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:30:36.3933608Z out_ptr2[i1 + (1024*i0)] = tmp8; 2022-11-23T01:30:36.3933685Z tmp9 += tmp8; 2022-11-23T01:30:36.3933749Z } 2022-11-23T01:30:36.3933833Z out_ptr3[i0] = tmp9; 2022-11-23T01:30:36.3933897Z } 2022-11-23T01:30:36.3933959Z } 2022-11-23T01:30:36.3934036Z #pragma omp for 2022-11-23T01:30:36.3934105Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:30:36.3934166Z { 2022-11-23T01:30:36.3934229Z { 2022-11-23T01:30:36.3934417Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3934500Z float tmp6 = 0; 2022-11-23T01:30:36.3934620Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.3934698Z float tmp7 = 0; 2022-11-23T01:30:36.3934816Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.3934893Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:36.3934955Z { 2022-11-23T01:30:36.3935099Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + (8*i1) + (1024*i0)); 2022-11-23T01:30:36.3935224Z auto tmp1 = at::vec::Vectorized(out_ptr3[i0]); 2022-11-23T01:30:36.3935359Z auto tmp2 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:30:36.3935450Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3935583Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3935671Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.3935743Z tmp6_vec += tmp5; 2022-11-23T01:30:36.3935822Z tmp7_vec += tmp0; 2022-11-23T01:30:36.3935885Z } 2022-11-23T01:30:36.3936109Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.3936304Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:36.3936443Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:36.3936535Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:30:36.3936598Z { 2022-11-23T01:30:36.3936686Z auto tmp0 = out_ptr2[i1 + (1024*i0)]; 2022-11-23T01:30:36.3936780Z auto tmp1 = out_ptr3[i0]; 2022-11-23T01:30:36.3936884Z auto tmp2 = static_cast(1024); 2022-11-23T01:30:36.3937014Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.3937147Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.3937240Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.3937318Z tmp6 += tmp5; 2022-11-23T01:30:36.3937381Z tmp7 += tmp0; 2022-11-23T01:30:36.3937444Z } 2022-11-23T01:30:36.3937524Z out_ptr4[i0] = tmp6; 2022-11-23T01:30:36.3937601Z out_ptr5[i0] = tmp7; 2022-11-23T01:30:36.3937663Z } 2022-11-23T01:30:36.3937725Z } 2022-11-23T01:30:36.3937800Z #pragma omp for 2022-11-23T01:30:36.3937867Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.3937930Z { 2022-11-23T01:30:36.3938063Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:36.3938197Z auto tmp1 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:30:36.3938282Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3938375Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.3938437Z } 2022-11-23T01:30:36.3938523Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3938606Z for(long i0=512; i0<512; i0+=1) 2022-11-23T01:30:36.3938670Z { 2022-11-23T01:30:36.3938753Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:36.3938851Z auto tmp1 = static_cast(1024); 2022-11-23T01:30:36.3938933Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3939013Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.3939062Z } 2022-11-23T01:30:36.3939141Z #pragma omp for 2022-11-23T01:30:36.3939221Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:30:36.3939280Z { 2022-11-23T01:30:36.3939410Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr4 + 8*i0); 2022-11-23T01:30:36.3939540Z auto tmp1 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:30:36.3939625Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3939818Z auto tmp3 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:30:36.3939903Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3939997Z tmp4.store(in_out_ptr1 + 8*i0); 2022-11-23T01:30:36.3940058Z } 2022-11-23T01:30:36.3940153Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.3940233Z for(long i0=512; i0<512; i0+=1) 2022-11-23T01:30:36.3940295Z { 2022-11-23T01:30:36.3940366Z auto tmp0 = out_ptr4[i0]; 2022-11-23T01:30:36.3940464Z auto tmp1 = static_cast(1024); 2022-11-23T01:30:36.3940546Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3940695Z auto tmp3 = static_cast(1e-05); 2022-11-23T01:30:36.3940780Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.3940860Z in_out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.3940923Z } 2022-11-23T01:30:36.3940971Z } 2022-11-23T01:30:36.3941034Z } 2022-11-23T01:30:36.3941110Z ''') 2022-11-23T01:30:36.3941115Z 2022-11-23T01:30:36.3941120Z 2022-11-23T01:30:36.3941208Z async_compile.wait(globals()) 2022-11-23T01:30:36.3941313Z del async_compile 2022-11-23T01:30:36.3941319Z 2022-11-23T01:30:36.3941388Z def call(args): 2022-11-23T01:30:36.3941494Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args 2022-11-23T01:30:36.3941565Z args.clear() 2022-11-23T01:30:36.3941763Z buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3941964Z buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3942178Z buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3942384Z buf3 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3942578Z buf4 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3942805Z buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3942890Z buf6 = buf1; del buf1 # reuse 2022-11-23T01:30:36.3943007Z buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4 # reuse 2022-11-23T01:30:36.3943369Z kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:30:36.3943439Z del arg0_1 2022-11-23T01:30:36.3943504Z del arg1_1 2022-11-23T01:30:36.3943570Z del arg2_1 2022-11-23T01:30:36.3943634Z del arg3_1 2022-11-23T01:30:36.3943698Z del arg4_1 2022-11-23T01:30:36.3943762Z del arg5_1 2022-11-23T01:30:36.3943833Z return (buf6, buf5, buf7, ) 2022-11-23T01:30:36.3943837Z 2022-11-23T01:30:36.3943857Z 2022-11-23T01:30:36.3943920Z if __name__ == "__main__": 2022-11-23T01:30:36.3944035Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3944160Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3944357Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3944550Z arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3944764Z arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3944980Z arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3945182Z arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3945372Z arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3945512Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1])) 2022-11-23T01:30:36.3945885Z [2022-11-23 01:28:16,075] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i6/ci6gdfzh2awbjoqy2s4ehxncs3n4cultm2xxtowv2uqtemuj5wz5.py 2022-11-23T01:30:36.3946153Z [2022-11-23 01:28:16,075] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391 2022-11-23T01:30:36.3946158Z 2022-11-23T01:30:36.3946227Z ok (1.686s) 2022-11-23T01:30:36.3946550Z test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:16,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3946863Z [2022-11-23 01:28:16,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3947079Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3947330Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3947596Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3947952Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3948299Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3948619Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3949007Z [2022-11-23 01:28:16,091] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3949105Z 4437 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3949226Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3949317Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.3949410Z 6 LOAD_ATTR 3 (div) 2022-11-23T01:30:36.3949491Z 8 LOAD_METHOD 4 (Tensor) 2022-11-23T01:30:36.3949590Z 10 LOAD_FAST 2 (getitem_17) 2022-11-23T01:30:36.3949682Z 12 LOAD_FAST 1 (arg81_1) 2022-11-23T01:30:36.3949771Z 14 CALL_METHOD 2 2022-11-23T01:30:36.3949874Z 16 STORE_FAST 4 (div_tensor_7) 2022-11-23T01:30:36.3949879Z 2022-11-23T01:30:36.3949972Z 4438 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3950059Z 20 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3950148Z 22 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.3950222Z 24 LOAD_ATTR 5 (mul) 2022-11-23T01:30:36.3950318Z 26 LOAD_METHOD 4 (Tensor) 2022-11-23T01:30:36.3950415Z 28 LOAD_FAST 4 (div_tensor_7) 2022-11-23T01:30:36.3950512Z 30 LOAD_FAST 0 (arg38_1) 2022-11-23T01:30:36.3950598Z 32 CALL_METHOD 2 2022-11-23T01:30:36.3950700Z 34 STORE_FAST 5 (mul_tensor_24) 2022-11-23T01:30:36.3950705Z 2022-11-23T01:30:36.3950795Z 4439 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.3950871Z 38 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.3950958Z 40 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.3951043Z 42 LOAD_ATTR 6 (sum) 2022-11-23T01:30:36.3951139Z 44 LOAD_METHOD 7 (default) 2022-11-23T01:30:36.3951240Z 46 LOAD_FAST 5 (mul_tensor_24) 2022-11-23T01:30:36.3951325Z 48 CALL_METHOD 1 2022-11-23T01:30:36.3951426Z 50 STORE_FAST 6 (sum_default_7) 2022-11-23T01:30:36.3951431Z 2022-11-23T01:30:36.3951535Z 4440 52 LOAD_FAST 3 (new_zeros_default_4) 2022-11-23T01:30:36.3951625Z 54 LOAD_FAST 6 (sum_default_7) 2022-11-23T01:30:36.3951713Z 56 BUILD_TUPLE 2 2022-11-23T01:30:36.3951789Z 58 RETURN_VALUE 2022-11-23T01:30:36.3951849Z 2022-11-23T01:30:36.3951854Z 2022-11-23T01:30:36.3952173Z [2022-11-23 01:28:16,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4437 2022-11-23T01:30:36.3952395Z [2022-11-23 01:28:16,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3952759Z [2022-11-23 01:28:16,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3953053Z [2022-11-23 01:28:16,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3953379Z [2022-11-23 01:28:16,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:30:36.3953626Z [2022-11-23 01:28:16,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.div)] 2022-11-23T01:30:36.3953899Z [2022-11-23 01:28:16,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_17 [TorchVariable(aten.div.Tensor)] 2022-11-23T01:30:36.3954196Z [2022-11-23 01:28:16,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg81_1 [TorchVariable(aten.div.Tensor), TensorVariable()] 2022-11-23T01:30:36.3954521Z [2022-11-23 01:28:16,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.div.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3954778Z [2022-11-23 01:28:16,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST div_tensor_7 [TensorVariable()] 2022-11-23T01:30:36.3955123Z [2022-11-23 01:28:16,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4438 2022-11-23T01:30:36.3955340Z [2022-11-23 01:28:16,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3955700Z [2022-11-23 01:28:16,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3955991Z [2022-11-23 01:28:16,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3956291Z [2022-11-23 01:28:16,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable()] 2022-11-23T01:30:36.3956546Z [2022-11-23 01:28:16,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)] 2022-11-23T01:30:36.3956813Z [2022-11-23 01:28:16,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_tensor_7 [TorchVariable(aten.mul.Tensor)] 2022-11-23T01:30:36.3957107Z [2022-11-23 01:28:16,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg38_1 [TorchVariable(aten.mul.Tensor), TensorVariable()] 2022-11-23T01:30:36.3957428Z [2022-11-23 01:28:16,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3957684Z [2022-11-23 01:28:16,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_24 [TensorVariable()] 2022-11-23T01:30:36.3957994Z [2022-11-23 01:28:16,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4439 2022-11-23T01:30:36.3958208Z [2022-11-23 01:28:16,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.3958571Z [2022-11-23 01:28:16,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.3958860Z [2022-11-23 01:28:16,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.3959158Z [2022-11-23 01:28:16,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:30:36.3959415Z [2022-11-23 01:28:16,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.sum)] 2022-11-23T01:30:36.3959680Z [2022-11-23 01:28:16,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_24 [TorchVariable(aten.sum.default)] 2022-11-23T01:30:36.3959975Z [2022-11-23 01:28:16,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sum.default), TensorVariable()] 2022-11-23T01:30:36.3960328Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_7 [TensorVariable()] 2022-11-23T01:30:36.3960677Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4440 2022-11-23T01:30:36.3960917Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_zeros_default_4 [] 2022-11-23T01:30:36.3961170Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_7 [TensorVariable()] 2022-11-23T01:30:36.3961441Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3961687Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3962077Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.3962382Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.3962603Z [2022-11-23 01:28:16,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.3962856Z [2022-11-23 01:28:16,117] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.3963103Z [2022-11-23 01:28:16,122] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.3963292Z [2022-11-23 01:28:16,123] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.3963428Z __compiled_fn_400 .3214 opcode, name, target, args, kwargs 2022-11-23T01:30:36.3963517Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.3963603Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.3963693Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.3963809Z call_function, div_tensor, aten.div.Tensor, (ex_2_, ex_1_), {} 2022-11-23T01:30:36.3963946Z call_function, mul_tensor, aten.mul.Tensor, (div_tensor, ex_0_), {} 2022-11-23T01:30:36.3964077Z call_function, sum_default, aten.sum.default, (mul_tensor,), {} 2022-11-23T01:30:36.3964183Z output, output, output, ((sum_default,),), {} 2022-11-23T01:30:36.3964189Z 2022-11-23T01:30:36.3964515Z [2022-11-23 01:28:16,123] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3964609Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.3964700Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3964902Z 4 BUILD_MAP 0 2022-11-23T01:30:36.3964983Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.3965069Z 8 DICT_MERGE 1 2022-11-23T01:30:36.3965157Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.3965235Z 12 RETURN_VALUE 2022-11-23T01:30:36.3965240Z 2022-11-23T01:30:36.3965300Z 2022-11-23T01:30:36.3965627Z [2022-11-23 01:28:16,123] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.3965735Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_400) 2022-11-23T01:30:36.3965826Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3965902Z 4 LOAD_CONST 2 (0) 2022-11-23T01:30:36.3965978Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.3966067Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3966153Z 10 LOAD_CONST 3 (1) 2022-11-23T01:30:36.3966229Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.3966314Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3966399Z 16 LOAD_CONST 4 (2) 2022-11-23T01:30:36.3966463Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.3966551Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.3966654Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3966784Z 24 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.3966873Z 26 LOAD_CONST 1 (3) 2022-11-23T01:30:36.3966951Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.3967051Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.3967126Z 32 LOAD_CONST 2 (0) 2022-11-23T01:30:36.3967202Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.3967289Z 36 BUILD_TUPLE 2 2022-11-23T01:30:36.3967364Z 38 RETURN_VALUE 2022-11-23T01:30:36.3967369Z 2022-11-23T01:30:36.3967428Z 2022-11-23T01:30:36.3967610Z [2022-11-23 01:28:16,124] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.3967681Z - 2022-11-23T01:30:36.3967786Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.3967887Z { 2022-11-23T01:30:36.3968026Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.3968215Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 4'], 2022-11-23T01:30:36.3968336Z 'obj_weakref': None 2022-11-23T01:30:36.3968562Z 'guarded_class': 2022-11-23T01:30:36.3968626Z } 2022-11-23T01:30:36.3968677Z 2022-11-23T01:30:36.3968745Z - 2022-11-23T01:30:36.3968868Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.3968933Z { 2022-11-23T01:30:36.3969077Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3969182Z 'code': None, 2022-11-23T01:30:36.3969392Z 'obj_weakref': 2022-11-23T01:30:36.3969630Z 'guarded_class': 2022-11-23T01:30:36.3969698Z } 2022-11-23T01:30:36.3969761Z 2022-11-23T01:30:36.3969830Z - 2022-11-23T01:30:36.3969954Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.3970018Z { 2022-11-23T01:30:36.3970161Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3970254Z 'code': None, 2022-11-23T01:30:36.3970465Z 'obj_weakref': 2022-11-23T01:30:36.3970715Z 'guarded_class': 2022-11-23T01:30:36.3970781Z } 2022-11-23T01:30:36.3970843Z 2022-11-23T01:30:36.3970913Z - 2022-11-23T01:30:36.3971035Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.3971086Z { 2022-11-23T01:30:36.3971224Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3971330Z 'code': None, 2022-11-23T01:30:36.3971539Z 'obj_weakref': 2022-11-23T01:30:36.3971794Z 'guarded_class': 2022-11-23T01:30:36.3971857Z } 2022-11-23T01:30:36.3971920Z 2022-11-23T01:30:36.3971976Z - 2022-11-23T01:30:36.3972097Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:30:36.3972159Z { 2022-11-23T01:30:36.3972301Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.3972409Z 'code': None, 2022-11-23T01:30:36.3972615Z 'obj_weakref': 2022-11-23T01:30:36.3972861Z 'guarded_class': 2022-11-23T01:30:36.3972923Z } 2022-11-23T01:30:36.3972975Z 2022-11-23T01:30:36.3973041Z - 2022-11-23T01:30:36.3973173Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.3973236Z { 2022-11-23T01:30:36.3973370Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.3973566Z 'code': ['___check_obj_id(model, 140534625215840)'], 2022-11-23T01:30:36.3973673Z 'obj_weakref': None 2022-11-23T01:30:36.3973900Z 'guarded_class': 2022-11-23T01:30:36.3973962Z } 2022-11-23T01:30:36.3974024Z 2022-11-23T01:30:36.3974091Z - 2022-11-23T01:30:36.3974210Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.3974272Z { 2022-11-23T01:30:36.3974393Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.3974607Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.3974724Z 'obj_weakref': None 2022-11-23T01:30:36.3974944Z 'guarded_class': 2022-11-23T01:30:36.3975035Z } 2022-11-23T01:30:36.3975097Z 2022-11-23T01:30:36.3975163Z - 2022-11-23T01:30:36.3975284Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.3975347Z { 2022-11-23T01:30:36.3975466Z 'guard_types': None, 2022-11-23T01:30:36.3975572Z 'code': None, 2022-11-23T01:30:36.3975689Z 'obj_weakref': None 2022-11-23T01:30:36.3975806Z 'guarded_class': None 2022-11-23T01:30:36.3975868Z } 2022-11-23T01:30:36.3975918Z 2022-11-23T01:30:36.3976180Z [2022-11-23 01:28:16,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392 2022-11-23T01:30:36.3976559Z [2022-11-23 01:28:17,617] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cvazgyfz6nfo2hvf5upnuikpxsd6trwmkehnkjr5xxml7uksdj63.py 2022-11-23T01:30:36.3976823Z [2022-11-23 01:28:17,617] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392 2022-11-23T01:30:36.3976831Z 2022-11-23T01:30:36.3976923Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.3976993Z import torch 2022-11-23T01:30:36.3977063Z import random 2022-11-23T01:30:36.3977178Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.3977284Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.3977289Z 2022-11-23T01:30:36.3977367Z aten = torch.ops.aten 2022-11-23T01:30:36.3977501Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.3977592Z async_compile = AsyncCompile() 2022-11-23T01:30:36.3977598Z 2022-11-23T01:30:36.3977602Z 2022-11-23T01:30:36.3977733Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.3977936Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.3978055Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.3978161Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.3978250Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.3978349Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.3978409Z { 2022-11-23T01:30:36.3978470Z { 2022-11-23T01:30:36.3978662Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.3978736Z float tmp5 = 0; 2022-11-23T01:30:36.3978849Z auto tmp5_vec = at::vec::Vectorized(tmp5); 2022-11-23T01:30:36.3978950Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.3979001Z { 2022-11-23T01:30:36.3979105Z #pragma omp for reduction(+:tmp5_vec) 2022-11-23T01:30:36.3979192Z for(long i0=0; i0<17600; i0+=1) 2022-11-23T01:30:36.3979255Z { 2022-11-23T01:30:36.3979387Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.3979511Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:36.3979641Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:30:36.3979744Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3979833Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:36.3979913Z tmp5_vec += tmp4; 2022-11-23T01:30:36.3979977Z } 2022-11-23T01:30:36.3980169Z tmp5 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp5_vec); 2022-11-23T01:30:36.3980290Z #pragma omp for simd simdlen(4) reduction(+:tmp5) 2022-11-23T01:30:36.3980381Z for(long i0=140800; i0<140800; i0+=1) 2022-11-23T01:30:36.3980443Z { 2022-11-23T01:30:36.3980517Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.3980599Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.3980684Z auto tmp3 = in_ptr2[i0]; 2022-11-23T01:30:36.3980809Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.3980893Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:30:36.3980966Z tmp5 += tmp4; 2022-11-23T01:30:36.3981031Z } 2022-11-23T01:30:36.3981081Z } 2022-11-23T01:30:36.3981156Z out_ptr0[0] = tmp5; 2022-11-23T01:30:36.3981217Z } 2022-11-23T01:30:36.3981276Z } 2022-11-23T01:30:36.3981355Z ''') 2022-11-23T01:30:36.3981360Z 2022-11-23T01:30:36.3981364Z 2022-11-23T01:30:36.3981451Z async_compile.wait(globals()) 2022-11-23T01:30:36.3981522Z del async_compile 2022-11-23T01:30:36.3981527Z 2022-11-23T01:30:36.3981583Z def call(args): 2022-11-23T01:30:36.3981667Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.3981736Z args.clear() 2022-11-23T01:30:36.3981922Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3982109Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.3982180Z del arg0_1 2022-11-23T01:30:36.3982245Z del arg1_1 2022-11-23T01:30:36.3982299Z del arg2_1 2022-11-23T01:30:36.3982370Z return (buf0, ) 2022-11-23T01:30:36.3982376Z 2022-11-23T01:30:36.3982381Z 2022-11-23T01:30:36.3982456Z if __name__ == "__main__": 2022-11-23T01:30:36.3982568Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.3982690Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.3982917Z arg0_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3983101Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3983317Z arg2_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.3983427Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.3983431Z 2022-11-23T01:30:36.3983499Z ok (1.539s) 2022-11-23T01:30:36.3983647Z test_to_device_constant_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:30:36.3983781Z test_to_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:30:36.3984090Z test_to_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.3984402Z [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.3984621Z [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.3984874Z [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.3985150Z [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.3985457Z [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3987260Z [2022-11-23 01:28:17,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3987590Z [2022-11-23 01:28:17,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.3987952Z [2022-11-23 01:28:17,625] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.3988050Z 1725 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.3988147Z 2 LOAD_ATTR 1 (_to_copy) 2022-11-23T01:30:36.3988240Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.3988329Z 6 LOAD_CONST 1 (6) 2022-11-23T01:30:36.3988478Z 8 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:30:36.3988570Z 10 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3988614Z 2022-11-23T01:30:36.3988697Z 1726 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.3988791Z 14 LOAD_ATTR 1 (_to_copy) 2022-11-23T01:30:36.3988879Z 16 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3988967Z 18 LOAD_CONST 3 (1) 2022-11-23T01:30:36.3989041Z 20 BINARY_ADD 2022-11-23T01:30:36.3989127Z 22 LOAD_CONST 1 (6) 2022-11-23T01:30:36.3989276Z 24 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:30:36.3989366Z 26 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.3989371Z 2022-11-23T01:30:36.3989452Z 1727 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.3989543Z 30 LOAD_METHOD 2 (to) 2022-11-23T01:30:36.3989630Z 32 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3989721Z 34 LOAD_GLOBAL 3 (torch) 2022-11-23T01:30:36.3989819Z 36 LOAD_ATTR 4 (float64) 2022-11-23T01:30:36.3989906Z 38 CALL_METHOD 2 2022-11-23T01:30:36.3989911Z 2022-11-23T01:30:36.3990000Z 1728 40 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.3990076Z 42 LOAD_METHOD 2 (to) 2022-11-23T01:30:36.3990162Z 44 LOAD_FAST 1 (b) 2022-11-23T01:30:36.3990252Z 46 LOAD_GLOBAL 3 (torch) 2022-11-23T01:30:36.3990340Z 48 LOAD_ATTR 5 (bool) 2022-11-23T01:30:36.3990426Z 50 CALL_METHOD 2 2022-11-23T01:30:36.3990431Z 2022-11-23T01:30:36.3990516Z 1724 52 BUILD_TUPLE 4 2022-11-23T01:30:36.3990590Z 54 RETURN_VALUE 2022-11-23T01:30:36.3990650Z 2022-11-23T01:30:36.3990656Z 2022-11-23T01:30:36.3990961Z [2022-11-23 01:28:17,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1725 2022-11-23T01:30:36.3991182Z [2022-11-23 01:28:17,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.3991489Z [2022-11-23 01:28:17,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable()] 2022-11-23T01:30:36.3991742Z [2022-11-23 01:28:17,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)] 2022-11-23T01:30:36.3992026Z [2022-11-23 01:28:17,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()] 2022-11-23T01:30:36.3992358Z [2022-11-23 01:28:17,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3992729Z [2022-11-23 01:28:17,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:36.3993119Z [2022-11-23 01:28:17,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1726 2022-11-23T01:30:36.3993366Z [2022-11-23 01:28:17,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.3993699Z [2022-11-23 01:28:17,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3993979Z [2022-11-23 01:28:17,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)] 2022-11-23T01:30:36.3994275Z [2022-11-23 01:28:17,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()] 2022-11-23T01:30:36.3994630Z [2022-11-23 01:28:17,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3994937Z [2022-11-23 01:28:17,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()] 2022-11-23T01:30:36.3995294Z [2022-11-23 01:28:17,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.3995693Z [2022-11-23 01:28:17,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:30:36.3995999Z [2022-11-23 01:28:17,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1727 2022-11-23T01:30:36.3996267Z [2022-11-23 01:28:17,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3996626Z [2022-11-23 01:28:17,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3996924Z [2022-11-23 01:28:17,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)] 2022-11-23T01:30:36.3997261Z [2022-11-23 01:28:17,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()] 2022-11-23T01:30:36.3997758Z [2022-11-23 01:28:17,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3998135Z [2022-11-23 01:28:17,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:30:36.3998448Z [2022-11-23 01:28:17,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1728 2022-11-23T01:30:36.3998733Z [2022-11-23 01:28:17,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.3999115Z [2022-11-23 01:28:17,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.3999440Z [2022-11-23 01:28:17,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)] 2022-11-23T01:30:36.3999800Z [2022-11-23 01:28:17,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()] 2022-11-23T01:30:36.4000499Z [2022-11-23 01:28:17,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4000909Z [2022-11-23 01:28:17,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:30:36.4001220Z [2022-11-23 01:28:17,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1724 2022-11-23T01:30:36.4001543Z [2022-11-23 01:28:17,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4001791Z [2022-11-23 01:28:17,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4002173Z [2022-11-23 01:28:17,656] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4002417Z [2022-11-23 01:28:17,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4002648Z [2022-11-23 01:28:17,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4002887Z [2022-11-23 01:28:17,658] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4003136Z [2022-11-23 01:28:17,663] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4003324Z [2022-11-23 01:28:17,663] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4003459Z __compiled_fn_401 .3220 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4003553Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4003642Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4003818Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6} 2022-11-23T01:30:36.4003988Z call_function, add, , (ex_1_, 1), {} 2022-11-23T01:30:36.4004149Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6} 2022-11-23T01:30:36.4004264Z call_function, to, aten.to, (ex_1_, torch.float64), {} 2022-11-23T01:30:36.4004375Z call_function, to_1, aten.to, (ex_1_, torch.bool), {} 2022-11-23T01:30:36.4004497Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {} 2022-11-23T01:30:36.4004503Z 2022-11-23T01:30:36.4004957Z [2022-11-23 01:28:17,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4005053Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4005144Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4005236Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4005314Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4005398Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4005486Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4005562Z 12 RETURN_VALUE 2022-11-23T01:30:36.4005568Z 2022-11-23T01:30:36.4005628Z 2022-11-23T01:30:36.4005958Z [2022-11-23 01:28:17,664] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4006064Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_401) 2022-11-23T01:30:36.4006154Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4006233Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4006308Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4006396Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4006572Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4006650Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4006738Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4006841Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4006929Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4007017Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4007092Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4007192Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4007279Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4007353Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4007451Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4007526Z 32 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4007601Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4007700Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4007792Z 38 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4007867Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4007953Z 42 BUILD_TUPLE 4 2022-11-23T01:30:36.4008028Z 44 RETURN_VALUE 2022-11-23T01:30:36.4008033Z 2022-11-23T01:30:36.4008080Z 2022-11-23T01:30:36.4008263Z [2022-11-23 01:28:17,665] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4008333Z - 2022-11-23T01:30:36.4008454Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4008519Z { 2022-11-23T01:30:36.4008661Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4008848Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4008954Z 'obj_weakref': None 2022-11-23T01:30:36.4009183Z 'guarded_class': 2022-11-23T01:30:36.4009248Z } 2022-11-23T01:30:36.4009318Z 2022-11-23T01:30:36.4009389Z - 2022-11-23T01:30:36.4009515Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4009580Z { 2022-11-23T01:30:36.4009710Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4009814Z 'code': None, 2022-11-23T01:30:36.4010026Z 'obj_weakref': 2022-11-23T01:30:36.4010279Z 'guarded_class': 2022-11-23T01:30:36.4010343Z } 2022-11-23T01:30:36.4010406Z 2022-11-23T01:30:36.4010475Z - 2022-11-23T01:30:36.4010584Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4010647Z { 2022-11-23T01:30:36.4010787Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4010895Z 'code': None, 2022-11-23T01:30:36.4011105Z 'obj_weakref': 2022-11-23T01:30:36.4011361Z 'guarded_class': 2022-11-23T01:30:36.4011425Z } 2022-11-23T01:30:36.4011475Z 2022-11-23T01:30:36.4011542Z - 2022-11-23T01:30:36.4011673Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4011737Z { 2022-11-23T01:30:36.4011871Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4012038Z 'code': ['___check_obj_id(model, 140534429638736)'], 2022-11-23T01:30:36.4012156Z 'obj_weakref': None 2022-11-23T01:30:36.4012373Z 'guarded_class': 2022-11-23T01:30:36.4012438Z } 2022-11-23T01:30:36.4012500Z 2022-11-23T01:30:36.4012569Z - 2022-11-23T01:30:36.4012689Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4012752Z { 2022-11-23T01:30:36.4012945Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4013149Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4013267Z 'obj_weakref': None 2022-11-23T01:30:36.4013489Z 'guarded_class': 2022-11-23T01:30:36.4013554Z } 2022-11-23T01:30:36.4013622Z 2022-11-23T01:30:36.4013690Z - 2022-11-23T01:30:36.4013819Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4013869Z { 2022-11-23T01:30:36.4013987Z 'guard_types': None, 2022-11-23T01:30:36.4014094Z 'code': None, 2022-11-23T01:30:36.4014210Z 'obj_weakref': None 2022-11-23T01:30:36.4014330Z 'guarded_class': None 2022-11-23T01:30:36.4014394Z } 2022-11-23T01:30:36.4014456Z 2022-11-23T01:30:36.4014511Z - 2022-11-23T01:30:36.4014644Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4014709Z { 2022-11-23T01:30:36.4014827Z 'guard_types': None, 2022-11-23T01:30:36.4014932Z 'code': None, 2022-11-23T01:30:36.4015047Z 'obj_weakref': None 2022-11-23T01:30:36.4015165Z 'guarded_class': None 2022-11-23T01:30:36.4015215Z } 2022-11-23T01:30:36.4015276Z 2022-11-23T01:30:36.4020589Z - 2022-11-23T01:30:36.4020795Z global 'torch.bool' CONSTANT_MATCH 2022-11-23T01:30:36.4020850Z { 2022-11-23T01:30:36.4021000Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4021167Z 'code': ["str(torch.bool) == 'torch.bool'"], 2022-11-23T01:30:36.4021289Z 'obj_weakref': None 2022-11-23T01:30:36.4021521Z 'guarded_class': 2022-11-23T01:30:36.4021587Z } 2022-11-23T01:30:36.4021652Z 2022-11-23T01:30:36.4021714Z - 2022-11-23T01:30:36.4021871Z global 'torch.float64' CONSTANT_MATCH 2022-11-23T01:30:36.4021937Z { 2022-11-23T01:30:36.4022080Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4022257Z 'code': ["str(torch.float64) == 'torch.float64'"], 2022-11-23T01:30:36.4022376Z 'obj_weakref': None 2022-11-23T01:30:36.4022603Z 'guarded_class': 2022-11-23T01:30:36.4022668Z } 2022-11-23T01:30:36.4022718Z 2022-11-23T01:30:36.4022984Z [2022-11-23 01:28:17,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393 2022-11-23T01:30:36.4023358Z [2022-11-23 01:28:19,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj5hvnz4bprftxws5pb35rwdqjg2ejjxkygyujwdvillf52c624j.py 2022-11-23T01:30:36.4023623Z [2022-11-23 01:28:19,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393 2022-11-23T01:30:36.4023636Z 2022-11-23T01:30:36.4023730Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4023799Z import torch 2022-11-23T01:30:36.4023869Z import random 2022-11-23T01:30:36.4023973Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4024095Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4024101Z 2022-11-23T01:30:36.4024181Z aten = torch.ops.aten 2022-11-23T01:30:36.4024317Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4024411Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4024416Z 2022-11-23T01:30:36.4024421Z 2022-11-23T01:30:36.4024556Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4024764Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4024886Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.4024985Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4025177Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:36.4025241Z { 2022-11-23T01:30:36.4025342Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4025406Z { 2022-11-23T01:30:36.4025483Z #pragma omp for 2022-11-23T01:30:36.4025566Z for(long i0=0; i0<40; i0+=1) 2022-11-23T01:30:36.4025616Z { 2022-11-23T01:30:36.4025681Z { 2022-11-23T01:30:36.4025746Z { 2022-11-23T01:30:36.4025839Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4025944Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.4026036Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4026146Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4026238Z auto tmp4 = static_cast(tmp0); 2022-11-23T01:30:36.4026323Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.4026407Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.4026477Z } 2022-11-23T01:30:36.4026543Z } 2022-11-23T01:30:36.4026606Z } 2022-11-23T01:30:36.4026669Z } 2022-11-23T01:30:36.4026717Z } 2022-11-23T01:30:36.4026796Z ''') 2022-11-23T01:30:36.4026802Z 2022-11-23T01:30:36.4026806Z 2022-11-23T01:30:36.4026897Z async_compile.wait(globals()) 2022-11-23T01:30:36.4026969Z del async_compile 2022-11-23T01:30:36.4026973Z 2022-11-23T01:30:36.4027044Z def call(args): 2022-11-23T01:30:36.4027120Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4027191Z args.clear() 2022-11-23T01:30:36.4027386Z buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4027585Z buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.4027748Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.4027841Z return (arg0_1, buf0, arg1_1, buf1, ) 2022-11-23T01:30:36.4027849Z 2022-11-23T01:30:36.4027853Z 2022-11-23T01:30:36.4027932Z if __name__ == "__main__": 2022-11-23T01:30:36.4028049Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4028172Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4028376Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4028575Z arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.4028676Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4028680Z 2022-11-23T01:30:36.4028747Z ok (1.503s) 2022-11-23T01:30:36.4029049Z test_topk_cpu (__main__.CpuTests) ... [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4029366Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4029588Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4029844Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4030119Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4030441Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4030791Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4031116Z [2022-11-23 01:28:19,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4031510Z [2022-11-23 01:28:19,128] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4031641Z 3100 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4031740Z 2 LOAD_METHOD 1 (topk) 2022-11-23T01:30:36.4031866Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4031992Z 6 LOAD_CONST 1 (2) 2022-11-23T01:30:36.4032172Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.4032262Z 10 CALL_METHOD 3 2022-11-23T01:30:36.4032325Z 12 RETURN_VALUE 2022-11-23T01:30:36.4032389Z 2022-11-23T01:30:36.4032394Z 2022-11-23T01:30:36.4032710Z [2022-11-23 01:28:19,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3100 2022-11-23T01:30:36.4032929Z [2022-11-23 01:28:19,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.4033408Z [2022-11-23 01:28:19,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable()] 2022-11-23T01:30:36.4033774Z [2022-11-23 01:28:19,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.4034123Z [2022-11-23 01:28:19,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4034513Z [2022-11-23 01:28:19,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4034946Z [2022-11-23 01:28:19,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4035207Z [2022-11-23 01:28:19,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:30:36.4035588Z [2022-11-23 01:28:19,130] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4035843Z [2022-11-23 01:28:19,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:30:36.4036067Z [2022-11-23 01:28:19,130] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4036327Z [2022-11-23 01:28:19,131] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4036575Z [2022-11-23 01:28:19,134] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4036771Z [2022-11-23 01:28:19,134] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4036907Z __compiled_fn_402 .3226 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4036999Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4037236Z call_function, topk, , (ex_0_, 2, -1), {} 2022-11-23T01:30:36.4037426Z call_function, getitem, , (topk, 0), {} 2022-11-23T01:30:36.4037601Z call_function, getitem_1, , (topk, 1), {} 2022-11-23T01:30:36.4037714Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:30:36.4037720Z 2022-11-23T01:30:36.4038047Z [2022-11-23 01:28:19,134] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4038141Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4038234Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4038403Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4038498Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4038584Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4038659Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4038736Z 12 RETURN_VALUE 2022-11-23T01:30:36.4038742Z 2022-11-23T01:30:36.4038804Z 2022-11-23T01:30:36.4039131Z [2022-11-23 01:28:19,135] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4039241Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_402) 2022-11-23T01:30:36.4039331Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4039422Z 4 LOAD_CONST 2 (0) 2022-11-23T01:30:36.4039499Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4039573Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4039677Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4039874Z 12 LOAD_CONST 1 () 2022-11-23T01:30:36.4040049Z 14 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4040147Z 16 LOAD_CONST 2 (0) 2022-11-23T01:30:36.4040224Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.4040325Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4040400Z 22 LOAD_CONST 3 (1) 2022-11-23T01:30:36.4040477Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.4040565Z 26 BUILD_TUPLE 2 2022-11-23T01:30:36.4040653Z 28 CALL_FUNCTION 1 2022-11-23T01:30:36.4040731Z 30 RETURN_VALUE 2022-11-23T01:30:36.4040736Z 2022-11-23T01:30:36.4040797Z 2022-11-23T01:30:36.4040983Z [2022-11-23 01:28:19,135] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4041041Z - 2022-11-23T01:30:36.4041163Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4041230Z { 2022-11-23T01:30:36.4041371Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4041557Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4041675Z 'obj_weakref': None 2022-11-23T01:30:36.4041901Z 'guarded_class': 2022-11-23T01:30:36.4041953Z } 2022-11-23T01:30:36.4042017Z 2022-11-23T01:30:36.4042089Z - 2022-11-23T01:30:36.4042213Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4042277Z { 2022-11-23T01:30:36.4042420Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4042529Z 'code': None, 2022-11-23T01:30:36.4042727Z 'obj_weakref': 2022-11-23T01:30:36.4042983Z 'guarded_class': 2022-11-23T01:30:36.4043051Z } 2022-11-23T01:30:36.4043117Z 2022-11-23T01:30:36.4043186Z - 2022-11-23T01:30:36.4043317Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4043381Z { 2022-11-23T01:30:36.4043501Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4043668Z 'code': ['___check_obj_id(model, 140534429637152)'], 2022-11-23T01:30:36.4043787Z 'obj_weakref': None 2022-11-23T01:30:36.4044020Z 'guarded_class': 2022-11-23T01:30:36.4044083Z } 2022-11-23T01:30:36.4044146Z 2022-11-23T01:30:36.4044214Z - 2022-11-23T01:30:36.4044322Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4044384Z { 2022-11-23T01:30:36.4044520Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4044924Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4045087Z 'obj_weakref': None 2022-11-23T01:30:36.4045308Z 'guarded_class': 2022-11-23T01:30:36.4045373Z } 2022-11-23T01:30:36.4045422Z 2022-11-23T01:30:36.4045493Z - 2022-11-23T01:30:36.4045628Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4045693Z { 2022-11-23T01:30:36.4045813Z 'guard_types': None, 2022-11-23T01:30:36.4045920Z 'code': None, 2022-11-23T01:30:36.4046038Z 'obj_weakref': None 2022-11-23T01:30:36.4046145Z 'guarded_class': None 2022-11-23T01:30:36.4046208Z } 2022-11-23T01:30:36.4046272Z 2022-11-23T01:30:36.4046533Z [2022-11-23 01:28:19,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394 2022-11-23T01:30:36.4046752Z [2022-11-23 01:28:19,141] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk 2022-11-23T01:30:36.4047124Z [2022-11-23 01:28:19,144] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5u/c5udxjcz6iqxkimdsm5mpsirwkjk6dcqkkildk56ltptyiv6ac5n.py 2022-11-23T01:30:36.4047389Z [2022-11-23 01:28:19,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394 2022-11-23T01:30:36.4047394Z 2022-11-23T01:30:36.4047487Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4047544Z import torch 2022-11-23T01:30:36.4047616Z import random 2022-11-23T01:30:36.4047732Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4047858Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4047863Z 2022-11-23T01:30:36.4047941Z aten = torch.ops.aten 2022-11-23T01:30:36.4048075Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4048168Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4048173Z 2022-11-23T01:30:36.4048180Z 2022-11-23T01:30:36.4048270Z async_compile.wait(globals()) 2022-11-23T01:30:36.4048330Z del async_compile 2022-11-23T01:30:36.4048335Z 2022-11-23T01:30:36.4048406Z def call(args): 2022-11-23T01:30:36.4048475Z arg0_1, = args 2022-11-23T01:30:36.4048545Z args.clear() 2022-11-23T01:30:36.4048630Z buf0 = aten.topk(arg0_1, 2) 2022-11-23T01:30:36.4048699Z del arg0_1 2022-11-23T01:30:36.4048767Z buf1 = buf0[0] 2022-11-23T01:30:36.4048859Z assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1)) 2022-11-23T01:30:36.4048927Z buf2 = buf0[1] 2022-11-23T01:30:36.4049031Z assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1)) 2022-11-23T01:30:36.4049098Z del buf0 2022-11-23T01:30:36.4049175Z return (buf1, buf2, ) 2022-11-23T01:30:36.4049180Z 2022-11-23T01:30:36.4049184Z 2022-11-23T01:30:36.4049259Z if __name__ == "__main__": 2022-11-23T01:30:36.4049372Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4049481Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4049700Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4049809Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4049814Z 2022-11-23T01:30:36.4049880Z ok (0.022s) 2022-11-23T01:30:36.4050197Z test_transpose_add_cpu (__main__.CpuTests) ... [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4050513Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4050732Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4050985Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4051261Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4051639Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4051987Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4052309Z [2022-11-23 01:28:19,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4052685Z [2022-11-23 01:28:19,149] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4052779Z 2336 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4052874Z 2 LOAD_METHOD 0 (t) 2022-11-23T01:30:36.4052965Z 4 CALL_METHOD 0 2022-11-23T01:30:36.4053061Z 6 LOAD_FAST 1 (b) 2022-11-23T01:30:36.4053136Z 8 BINARY_ADD 2022-11-23T01:30:36.4053199Z 10 RETURN_VALUE 2022-11-23T01:30:36.4053260Z 2022-11-23T01:30:36.4053264Z 2022-11-23T01:30:36.4053577Z [2022-11-23 01:28:19,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2336 2022-11-23T01:30:36.4053786Z [2022-11-23 01:28:19,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.4054024Z [2022-11-23 01:28:19,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()] 2022-11-23T01:30:36.4054300Z [2022-11-23 01:28:19,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)] 2022-11-23T01:30:36.4054534Z [2022-11-23 01:28:19,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.4054808Z [2022-11-23 01:28:19,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4055057Z [2022-11-23 01:28:19,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4055419Z [2022-11-23 01:28:19,151] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4055662Z [2022-11-23 01:28:19,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4055896Z [2022-11-23 01:28:19,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4056150Z [2022-11-23 01:28:19,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4056399Z [2022-11-23 01:28:19,155] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4056592Z [2022-11-23 01:28:19,155] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4056727Z __compiled_fn_403 .3232 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4056817Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4056890Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4056973Z call_method, t, t, (ex_0_,), {} 2022-11-23T01:30:36.4057146Z call_function, add, , (t, ex_1_), {} 2022-11-23T01:30:36.4057241Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.4057246Z 2022-11-23T01:30:36.4057569Z [2022-11-23 01:28:19,155] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4057662Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4057752Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4057839Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4057975Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4058063Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4058151Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4058228Z 12 RETURN_VALUE 2022-11-23T01:30:36.4058233Z 2022-11-23T01:30:36.4058297Z 2022-11-23T01:30:36.4058618Z [2022-11-23 01:28:19,155] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4058726Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_403) 2022-11-23T01:30:36.4058816Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4058892Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4058969Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4059057Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4059147Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4059224Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4059316Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4059406Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.4059468Z 18 RETURN_VALUE 2022-11-23T01:30:36.4059472Z 2022-11-23T01:30:36.4059534Z 2022-11-23T01:30:36.4059717Z [2022-11-23 01:28:19,156] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4059789Z - 2022-11-23T01:30:36.4059907Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4059971Z { 2022-11-23T01:30:36.4060110Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4060284Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4060405Z 'obj_weakref': None 2022-11-23T01:30:36.4060630Z 'guarded_class': 2022-11-23T01:30:36.4060696Z } 2022-11-23T01:30:36.4060759Z 2022-11-23T01:30:36.4060829Z - 2022-11-23T01:30:36.4060953Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4061007Z { 2022-11-23T01:30:36.4061150Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4061257Z 'code': None, 2022-11-23T01:30:36.4061471Z 'obj_weakref': 2022-11-23T01:30:36.4061723Z 'guarded_class': 2022-11-23T01:30:36.4061788Z } 2022-11-23T01:30:36.4061850Z 2022-11-23T01:30:36.4061906Z - 2022-11-23T01:30:36.4062028Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4062092Z { 2022-11-23T01:30:36.4062233Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4062339Z 'code': None, 2022-11-23T01:30:36.4062550Z 'obj_weakref': 2022-11-23T01:30:36.4062805Z 'guarded_class': 2022-11-23T01:30:36.4062858Z } 2022-11-23T01:30:36.4062923Z 2022-11-23T01:30:36.4062993Z - 2022-11-23T01:30:36.4063123Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4063186Z { 2022-11-23T01:30:36.4063320Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4063487Z 'code': ['___check_obj_id(model, 140534625213968)'], 2022-11-23T01:30:36.4063592Z 'obj_weakref': None 2022-11-23T01:30:36.4063821Z 'guarded_class': 2022-11-23T01:30:36.4063884Z } 2022-11-23T01:30:36.4063947Z 2022-11-23T01:30:36.4064016Z - 2022-11-23T01:30:36.4064138Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4064201Z { 2022-11-23T01:30:36.4064322Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4064633Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4064753Z 'obj_weakref': None 2022-11-23T01:30:36.4064975Z 'guarded_class': 2022-11-23T01:30:36.4065041Z } 2022-11-23T01:30:36.4065104Z 2022-11-23T01:30:36.4065364Z [2022-11-23 01:28:19,161] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395 2022-11-23T01:30:36.4065738Z [2022-11-23 01:28:20,665] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ey/ceyck2c3grbqumirdaxrfsx7nfeqgfqm22k2qlcswugknlypjhzr.py 2022-11-23T01:30:36.4065989Z [2022-11-23 01:28:20,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395 2022-11-23T01:30:36.4065994Z 2022-11-23T01:30:36.4066089Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4066159Z import torch 2022-11-23T01:30:36.4066229Z import random 2022-11-23T01:30:36.4066349Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4066471Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4066476Z 2022-11-23T01:30:36.4066554Z aten = torch.ops.aten 2022-11-23T01:30:36.4066689Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4066768Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4066773Z 2022-11-23T01:30:36.4066777Z 2022-11-23T01:30:36.4066910Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4067115Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4067235Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4067338Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4067438Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4067500Z { 2022-11-23T01:30:36.4067584Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4067650Z { 2022-11-23T01:30:36.4067731Z #pragma omp for 2022-11-23T01:30:36.4067813Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:30:36.4067876Z { 2022-11-23T01:30:36.4067955Z #pragma GCC ivdep 2022-11-23T01:30:36.4068041Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:30:36.4068092Z { 2022-11-23T01:30:36.4068160Z { 2022-11-23T01:30:36.4068228Z { 2022-11-23T01:30:36.4068333Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:30:36.4068435Z auto tmp1 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:30:36.4068530Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4068626Z out_ptr0[i1 + (16*i0)] = tmp2; 2022-11-23T01:30:36.4068680Z } 2022-11-23T01:30:36.4068745Z } 2022-11-23T01:30:36.4068809Z } 2022-11-23T01:30:36.4068874Z } 2022-11-23T01:30:36.4068935Z } 2022-11-23T01:30:36.4068996Z } 2022-11-23T01:30:36.4069061Z ''') 2022-11-23T01:30:36.4069080Z 2022-11-23T01:30:36.4069084Z 2022-11-23T01:30:36.4069159Z async_compile.wait(globals()) 2022-11-23T01:30:36.4069235Z del async_compile 2022-11-23T01:30:36.4069240Z 2022-11-23T01:30:36.4069312Z def call(args): 2022-11-23T01:30:36.4069387Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4069459Z args.clear() 2022-11-23T01:30:36.4069659Z buf0 = empty_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4069822Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4069878Z del arg0_1 2022-11-23T01:30:36.4069946Z del arg1_1 2022-11-23T01:30:36.4070018Z return (buf0, ) 2022-11-23T01:30:36.4070022Z 2022-11-23T01:30:36.4070026Z 2022-11-23T01:30:36.4070103Z if __name__ == "__main__": 2022-11-23T01:30:36.4070218Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4070341Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4070600Z arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4070799Z arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4070901Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4070906Z 2022-11-23T01:30:36.4070973Z ok (1.521s) 2022-11-23T01:30:36.4071284Z test_transpose_cpu (__main__.CpuTests) ... [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4071600Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4071822Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4072076Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4072359Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4072680Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4073027Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4073352Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4073716Z [2022-11-23 01:28:20,671] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4073815Z 1244 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4073915Z 2 LOAD_METHOD 1 (t) 2022-11-23T01:30:36.4074007Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4074096Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4074186Z 8 LOAD_FAST 1 (b) 2022-11-23T01:30:36.4074260Z 10 BINARY_ADD 2022-11-23T01:30:36.4074265Z 2022-11-23T01:30:36.4074359Z 1245 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4074444Z 14 LOAD_METHOD 2 (transpose) 2022-11-23T01:30:36.4074533Z 16 LOAD_FAST 1 (b) 2022-11-23T01:30:36.4074621Z 18 LOAD_CONST 1 (2) 2022-11-23T01:30:36.4074703Z 20 BINARY_MULTIPLY 2022-11-23T01:30:36.4074790Z 22 LOAD_CONST 2 (0) 2022-11-23T01:30:36.4074874Z 24 LOAD_CONST 3 (1) 2022-11-23T01:30:36.4074961Z 26 CALL_METHOD 3 2022-11-23T01:30:36.4075039Z 28 LOAD_CONST 4 (10) 2022-11-23T01:30:36.4075117Z 30 BINARY_ADD 2022-11-23T01:30:36.4075122Z 2022-11-23T01:30:36.4075211Z 1243 32 BUILD_TUPLE 2 2022-11-23T01:30:36.4075286Z 34 RETURN_VALUE 2022-11-23T01:30:36.4075347Z 2022-11-23T01:30:36.4075352Z 2022-11-23T01:30:36.4075665Z [2022-11-23 01:28:20,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1244 2022-11-23T01:30:36.4075885Z [2022-11-23 01:28:20,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.4076245Z [2022-11-23 01:28:20,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable()] 2022-11-23T01:30:36.4076559Z [2022-11-23 01:28:20,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.4076958Z [2022-11-23 01:28:20,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4077198Z [2022-11-23 01:28:20,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.4077470Z [2022-11-23 01:28:20,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4077783Z [2022-11-23 01:28:20,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1245 2022-11-23T01:30:36.4078028Z [2022-11-23 01:28:20,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.4078431Z [2022-11-23 01:28:20,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4078797Z [2022-11-23 01:28:20,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4079180Z [2022-11-23 01:28:20,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4079622Z [2022-11-23 01:28:20,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4080094Z [2022-11-23 01:28:20,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4080531Z [2022-11-23 01:28:20,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4081004Z [2022-11-23 01:28:20,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4081271Z [2022-11-23 01:28:20,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4081566Z [2022-11-23 01:28:20,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4081879Z [2022-11-23 01:28:20,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1243 2022-11-23T01:30:36.4082152Z [2022-11-23 01:28:20,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4082401Z [2022-11-23 01:28:20,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4082782Z [2022-11-23 01:28:20,677] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4083029Z [2022-11-23 01:28:20,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4083265Z [2022-11-23 01:28:20,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4083518Z [2022-11-23 01:28:20,678] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4083768Z [2022-11-23 01:28:20,684] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4084055Z [2022-11-23 01:28:20,684] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4084177Z __compiled_fn_404 .3238 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4084267Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4084356Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4084573Z call_function, t, , (ex_0_,), {} 2022-11-23T01:30:36.4084860Z call_function, add, , (t, ex_1_), {} 2022-11-23T01:30:36.4085035Z call_function, mul, , (ex_1_, 2), {} 2022-11-23T01:30:36.4085284Z call_function, transpose, , (mul, 0, 1), {} 2022-11-23T01:30:36.4085455Z call_function, add_1, , (transpose, 10), {} 2022-11-23T01:30:36.4085559Z output, output, output, ((add, add_1),), {} 2022-11-23T01:30:36.4085565Z 2022-11-23T01:30:36.4085895Z [2022-11-23 01:28:20,685] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4085990Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4086081Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4086169Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4086261Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4086346Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4086421Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4086501Z 12 RETURN_VALUE 2022-11-23T01:30:36.4086506Z 2022-11-23T01:30:36.4086567Z 2022-11-23T01:30:36.4086891Z [2022-11-23 01:28:20,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4087001Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_404) 2022-11-23T01:30:36.4087091Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4087186Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4087265Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4087339Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4087428Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4087503Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4087592Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4087697Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4087799Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4087886Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4087948Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4088049Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4088136Z 26 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4088212Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4088301Z 30 BUILD_TUPLE 2 2022-11-23T01:30:36.4088378Z 32 RETURN_VALUE 2022-11-23T01:30:36.4088385Z 2022-11-23T01:30:36.4088447Z 2022-11-23T01:30:36.4088614Z [2022-11-23 01:28:20,686] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4088685Z - 2022-11-23T01:30:36.4088807Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4088875Z { 2022-11-23T01:30:36.4089016Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4089202Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4089320Z 'obj_weakref': None 2022-11-23T01:30:36.4089547Z 'guarded_class': 2022-11-23T01:30:36.4089599Z } 2022-11-23T01:30:36.4089663Z 2022-11-23T01:30:36.4089732Z - 2022-11-23T01:30:36.4089857Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4089921Z { 2022-11-23T01:30:36.4090063Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4090241Z 'code': None, 2022-11-23T01:30:36.4090455Z 'obj_weakref': 2022-11-23T01:30:36.4090707Z 'guarded_class': 2022-11-23T01:30:36.4090772Z } 2022-11-23T01:30:36.4090837Z 2022-11-23T01:30:36.4090906Z - 2022-11-23T01:30:36.4091028Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4091079Z { 2022-11-23T01:30:36.4091222Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4091328Z 'code': None, 2022-11-23T01:30:36.4091543Z 'obj_weakref': 2022-11-23T01:30:36.4091794Z 'guarded_class': 2022-11-23T01:30:36.4091859Z } 2022-11-23T01:30:36.4091925Z 2022-11-23T01:30:36.4091984Z - 2022-11-23T01:30:36.4092114Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4092177Z { 2022-11-23T01:30:36.4092312Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4092481Z 'code': ['___check_obj_id(model, 140534625207920)'], 2022-11-23T01:30:36.4092599Z 'obj_weakref': None 2022-11-23T01:30:36.4092831Z 'guarded_class': 2022-11-23T01:30:36.4092894Z } 2022-11-23T01:30:36.4092943Z 2022-11-23T01:30:36.4093011Z - 2022-11-23T01:30:36.4093133Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4093197Z { 2022-11-23T01:30:36.4093331Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4093547Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4093653Z 'obj_weakref': None 2022-11-23T01:30:36.4093881Z 'guarded_class': 2022-11-23T01:30:36.4093946Z } 2022-11-23T01:30:36.4094011Z 2022-11-23T01:30:36.4094079Z - 2022-11-23T01:30:36.4094214Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4094279Z { 2022-11-23T01:30:36.4094384Z 'guard_types': None, 2022-11-23T01:30:36.4094490Z 'code': None, 2022-11-23T01:30:36.4094607Z 'obj_weakref': None 2022-11-23T01:30:36.4094728Z 'guarded_class': None 2022-11-23T01:30:36.4094792Z } 2022-11-23T01:30:36.4094856Z 2022-11-23T01:30:36.4095117Z [2022-11-23 01:28:20,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396 2022-11-23T01:30:36.4095471Z [2022-11-23 01:28:22,181] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qa/cqa643uzlpdrjxbesbp7w2aprpold6yv5jjxod6yfth7t3cyudem.py 2022-11-23T01:30:36.4095737Z [2022-11-23 01:28:22,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396 2022-11-23T01:30:36.4095743Z 2022-11-23T01:30:36.4095837Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4095907Z import torch 2022-11-23T01:30:36.4095977Z import random 2022-11-23T01:30:36.4096093Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4096214Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4096219Z 2022-11-23T01:30:36.4096297Z aten = torch.ops.aten 2022-11-23T01:30:36.4096418Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4096510Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4096515Z 2022-11-23T01:30:36.4096520Z 2022-11-23T01:30:36.4096655Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4096861Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4096980Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4097143Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4097246Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4097343Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.4097390Z { 2022-11-23T01:30:36.4097490Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4097552Z { 2022-11-23T01:30:36.4097629Z #pragma omp for 2022-11-23T01:30:36.4097713Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4097776Z { 2022-11-23T01:30:36.4097856Z #pragma GCC ivdep 2022-11-23T01:30:36.4097926Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:30:36.4097991Z { 2022-11-23T01:30:36.4098055Z { 2022-11-23T01:30:36.4098124Z { 2022-11-23T01:30:36.4098226Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:30:36.4098325Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:30:36.4098425Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4098506Z out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:30:36.4098573Z } 2022-11-23T01:30:36.4098638Z } 2022-11-23T01:30:36.4098703Z } 2022-11-23T01:30:36.4098767Z } 2022-11-23T01:30:36.4098844Z #pragma omp for 2022-11-23T01:30:36.4098924Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4098973Z { 2022-11-23T01:30:36.4099123Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.4099255Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.4099342Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4099474Z auto tmp3 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:30:36.4099558Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4099651Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.4099702Z } 2022-11-23T01:30:36.4099800Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4099883Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.4099945Z { 2022-11-23T01:30:36.4100030Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:30:36.4100128Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.4100211Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4100297Z auto tmp3 = static_cast(10); 2022-11-23T01:30:36.4100383Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4100463Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.4100526Z } 2022-11-23T01:30:36.4100588Z } 2022-11-23T01:30:36.4100648Z } 2022-11-23T01:30:36.4100726Z ''') 2022-11-23T01:30:36.4100732Z 2022-11-23T01:30:36.4100736Z 2022-11-23T01:30:36.4100812Z async_compile.wait(globals()) 2022-11-23T01:30:36.4100886Z del async_compile 2022-11-23T01:30:36.4100891Z 2022-11-23T01:30:36.4100962Z def call(args): 2022-11-23T01:30:36.4101044Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4101119Z args.clear() 2022-11-23T01:30:36.4101314Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4101506Z buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4101697Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.4101753Z del arg0_1 2022-11-23T01:30:36.4101819Z del arg1_1 2022-11-23T01:30:36.4101901Z return (buf0, buf1, ) 2022-11-23T01:30:36.4101906Z 2022-11-23T01:30:36.4101911Z 2022-11-23T01:30:36.4101990Z if __name__ == "__main__": 2022-11-23T01:30:36.4102104Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4102226Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4102420Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4102625Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4102788Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4102793Z 2022-11-23T01:30:36.4102860Z ok (1.517s) 2022-11-23T01:30:36.4103189Z test_transposed_propagates_cpu (__main__.CpuTests) ... [2022-11-23 01:28:22,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:36.4103511Z [2022-11-23 01:28:22,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2206 2022-11-23T01:30:36.4103723Z [2022-11-23 01:28:22,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4103964Z [2022-11-23 01:28:22,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4104239Z [2022-11-23 01:28:22,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4104490Z [2022-11-23 01:28:22,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4104709Z [2022-11-23 01:28:22,188] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:36.4104951Z [2022-11-23 01:28:22,189] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.4105188Z [2022-11-23 01:28:22,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.4105377Z [2022-11-23 01:28:22,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4105513Z __compiled_fn_405 .3244 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4105598Z placeholder, x, x, (), {} 2022-11-23T01:30:36.4105680Z placeholder, y, y, (), {} 2022-11-23T01:30:36.4105848Z call_function, add, , (x, y), {} 2022-11-23T01:30:36.4105929Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.4105948Z 2022-11-23T01:30:36.4106263Z [2022-11-23 01:28:22,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 2022-11-23T01:30:36.4106356Z 2206 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4106447Z 2 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4106521Z 4 BINARY_ADD 2022-11-23T01:30:36.4106599Z 6 RETURN_VALUE 2022-11-23T01:30:36.4106604Z 2022-11-23T01:30:36.4106665Z 2022-11-23T01:30:36.4106992Z [2022-11-23 01:28:22,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 2022-11-23T01:30:36.4107089Z 2204 0 LOAD_GLOBAL 0 (__compiled_fn_405) 2022-11-23T01:30:36.4107178Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4107267Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4107357Z 6 CALL_FUNCTION 2 2022-11-23T01:30:36.4107453Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.4107531Z 10 RETURN_VALUE 2022-11-23T01:30:36.4107536Z 2022-11-23T01:30:36.4107597Z 2022-11-23T01:30:36.4107778Z [2022-11-23 01:28:22,193] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4107836Z - 2022-11-23T01:30:36.4107957Z local 'x' TENSOR_MATCH 2022-11-23T01:30:36.4108022Z { 2022-11-23T01:30:36.4108165Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4108272Z 'code': None, 2022-11-23T01:30:36.4108484Z 'obj_weakref': 2022-11-23T01:30:36.4108738Z 'guarded_class': 2022-11-23T01:30:36.4108790Z } 2022-11-23T01:30:36.4108855Z 2022-11-23T01:30:36.4108924Z - 2022-11-23T01:30:36.4109043Z local 'y' TENSOR_MATCH 2022-11-23T01:30:36.4109137Z { 2022-11-23T01:30:36.4109316Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4109425Z 'code': None, 2022-11-23T01:30:36.4109619Z 'obj_weakref': 2022-11-23T01:30:36.4109872Z 'guarded_class': 2022-11-23T01:30:36.4109938Z } 2022-11-23T01:30:36.4110004Z 2022-11-23T01:30:36.4110261Z [2022-11-23 01:28:22,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397 2022-11-23T01:30:36.4110632Z [2022-11-23 01:28:23,615] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4c/c4c6ymulcefjssbtvuwzdepjaeyea3wvemwtqs5covaww4dyhpvc.py 2022-11-23T01:30:36.4110897Z [2022-11-23 01:28:23,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397 2022-11-23T01:30:36.4110901Z 2022-11-23T01:30:36.4110998Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4111056Z import torch 2022-11-23T01:30:36.4111128Z import random 2022-11-23T01:30:36.4111244Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4111367Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4111371Z 2022-11-23T01:30:36.4111449Z aten = torch.ops.aten 2022-11-23T01:30:36.4111584Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4111676Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4111681Z 2022-11-23T01:30:36.4111685Z 2022-11-23T01:30:36.4111820Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4112011Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4112130Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4112234Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4112337Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4112401Z { 2022-11-23T01:30:36.4112501Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4112563Z { 2022-11-23T01:30:36.4112628Z #pragma omp for 2022-11-23T01:30:36.4112711Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4112773Z { 2022-11-23T01:30:36.4112913Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4113045Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.4113132Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4113223Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4113274Z } 2022-11-23T01:30:36.4113393Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4113505Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:30:36.4113592Z { 2022-11-23T01:30:36.4113717Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4113844Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.4113928Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4114000Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.4114063Z } 2022-11-23T01:30:36.4114133Z } 2022-11-23T01:30:36.4114180Z } 2022-11-23T01:30:36.4114262Z ''') 2022-11-23T01:30:36.4114269Z 2022-11-23T01:30:36.4114275Z 2022-11-23T01:30:36.4114364Z async_compile.wait(globals()) 2022-11-23T01:30:36.4114436Z del async_compile 2022-11-23T01:30:36.4114441Z 2022-11-23T01:30:36.4114510Z def call(args): 2022-11-23T01:30:36.4114584Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4114654Z args.clear() 2022-11-23T01:30:36.4114868Z buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4115020Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4115088Z del arg0_1 2022-11-23T01:30:36.4115154Z del arg1_1 2022-11-23T01:30:36.4115226Z return (buf0, ) 2022-11-23T01:30:36.4115231Z 2022-11-23T01:30:36.4115235Z 2022-11-23T01:30:36.4115351Z if __name__ == "__main__": 2022-11-23T01:30:36.4115494Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4115619Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4115829Z arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4116019Z arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4116134Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4116139Z 2022-11-23T01:30:36.4116205Z ok (1.433s) 2022-11-23T01:30:36.4116339Z test_triton_conv_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:30:36.4116644Z test_triton_mm2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:23,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:30:36.4116960Z [2022-11-23 01:28:23,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2272 2022-11-23T01:30:36.4117185Z [2022-11-23 01:28:23,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.4117549Z [2022-11-23 01:28:23,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable()] 2022-11-23T01:30:36.4117876Z [2022-11-23 01:28:23,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable()] 2022-11-23T01:30:36.4118334Z [2022-11-23 01:28:23,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(), TorchVariable()] 2022-11-23T01:30:36.4118762Z [2022-11-23 01:28:23,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TorchVariable()] 2022-11-23T01:30:36.4119215Z [2022-11-23 01:28:23,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4119701Z [2022-11-23 01:28:23,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4120141Z [2022-11-23 01:28:23,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4120391Z [2022-11-23 01:28:23,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4120629Z [2022-11-23 01:28:23,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:30:36.4120870Z [2022-11-23 01:28:23,645] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.4121106Z [2022-11-23 01:28:23,648] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.4121294Z [2022-11-23 01:28:23,649] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4121428Z __compiled_fn_406 .3250 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4121512Z placeholder, x, x, (), {} 2022-11-23T01:30:36.4121582Z placeholder, y, y, (), {} 2022-11-23T01:30:36.4121797Z call_function, mm, , (x, y), {} 2022-11-23T01:30:36.4122014Z call_function, relu, , (mm,), {} 2022-11-23T01:30:36.4122112Z output, output, output, ((relu,),), {} 2022-11-23T01:30:36.4122118Z 2022-11-23T01:30:36.4122500Z [2022-11-23 01:28:23,649] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 2022-11-23T01:30:36.4122597Z 2272 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4122690Z 2 LOAD_METHOD 1 (relu) 2022-11-23T01:30:36.4122780Z 4 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4122858Z 6 LOAD_METHOD 2 (mm) 2022-11-23T01:30:36.4122948Z 8 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4123037Z 10 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4123123Z 12 CALL_METHOD 2 2022-11-23T01:30:36.4123208Z 14 CALL_METHOD 1 2022-11-23T01:30:36.4123284Z 16 RETURN_VALUE 2022-11-23T01:30:36.4123289Z 2022-11-23T01:30:36.4123348Z 2022-11-23T01:30:36.4123660Z [2022-11-23 01:28:23,649] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 2022-11-23T01:30:36.4123771Z 2270 0 LOAD_GLOBAL 3 (__compiled_fn_406) 2022-11-23T01:30:36.4123859Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4123945Z 4 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4124047Z 6 CALL_FUNCTION 2 2022-11-23T01:30:36.4124180Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.4124277Z 10 RETURN_VALUE 2022-11-23T01:30:36.4124282Z 2022-11-23T01:30:36.4124341Z 2022-11-23T01:30:36.4124512Z [2022-11-23 01:28:23,650] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4124581Z - 2022-11-23T01:30:36.4124701Z local 'x' TENSOR_MATCH 2022-11-23T01:30:36.4124852Z { 2022-11-23T01:30:36.4124998Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4125104Z 'code': None, 2022-11-23T01:30:36.4125319Z 'obj_weakref': 2022-11-23T01:30:36.4125559Z 'guarded_class': 2022-11-23T01:30:36.4125624Z } 2022-11-23T01:30:36.4125688Z 2022-11-23T01:30:36.4125756Z - 2022-11-23T01:30:36.4125874Z local 'y' TENSOR_MATCH 2022-11-23T01:30:36.4125938Z { 2022-11-23T01:30:36.4126065Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4126171Z 'code': None, 2022-11-23T01:30:36.4126379Z 'obj_weakref': 2022-11-23T01:30:36.4126626Z 'guarded_class': 2022-11-23T01:30:36.4126690Z } 2022-11-23T01:30:36.4126753Z 2022-11-23T01:30:36.4126820Z - 2022-11-23T01:30:36.4126950Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4127002Z { 2022-11-23T01:30:36.4127123Z 'guard_types': None, 2022-11-23T01:30:36.4127229Z 'code': None, 2022-11-23T01:30:36.4127346Z 'obj_weakref': None 2022-11-23T01:30:36.4127466Z 'guarded_class': None 2022-11-23T01:30:36.4127528Z } 2022-11-23T01:30:36.4127578Z 2022-11-23T01:30:36.4127839Z [2022-11-23 01:28:23,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398 2022-11-23T01:30:36.4128202Z [2022-11-23 01:28:25,069] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lw/clw7ba3w3ajtc55ssbqjz5qzqswim5uz5kr5dgojmegwqsosshmh.py 2022-11-23T01:30:36.4128467Z [2022-11-23 01:28:25,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398 2022-11-23T01:30:36.4128472Z 2022-11-23T01:30:36.4128568Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4128637Z import torch 2022-11-23T01:30:36.4128765Z import random 2022-11-23T01:30:36.4128914Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4129026Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4129045Z 2022-11-23T01:30:36.4129110Z aten = torch.ops.aten 2022-11-23T01:30:36.4129244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4129336Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4129341Z 2022-11-23T01:30:36.4129345Z 2022-11-23T01:30:36.4129480Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4129685Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4129802Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:30:36.4129864Z { 2022-11-23T01:30:36.4129949Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4130011Z { 2022-11-23T01:30:36.4130088Z #pragma omp for 2022-11-23T01:30:36.4130174Z for(long i0=0; i0<131072; i0+=1) 2022-11-23T01:30:36.4130241Z { 2022-11-23T01:30:36.4130386Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.4130515Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:30:36.4130612Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.4130662Z } 2022-11-23T01:30:36.4130758Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4130850Z for(long i0=1048576; i0<1048576; i0+=1) 2022-11-23T01:30:36.4130914Z { 2022-11-23T01:30:36.4131002Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:30:36.4131090Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:30:36.4131160Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.4131222Z } 2022-11-23T01:30:36.4131283Z } 2022-11-23T01:30:36.4131344Z } 2022-11-23T01:30:36.4131423Z ''') 2022-11-23T01:30:36.4131427Z 2022-11-23T01:30:36.4131431Z 2022-11-23T01:30:36.4131521Z async_compile.wait(globals()) 2022-11-23T01:30:36.4131593Z del async_compile 2022-11-23T01:30:36.4131600Z 2022-11-23T01:30:36.4131673Z def call(args): 2022-11-23T01:30:36.4131735Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4131807Z args.clear() 2022-11-23T01:30:36.4132014Z buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4132109Z aten.mm.out(arg0_1, arg1_1, out=buf0) 2022-11-23T01:30:36.4132177Z del arg0_1 2022-11-23T01:30:36.4132243Z del arg1_1 2022-11-23T01:30:36.4132327Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:30:36.4132416Z kernel_cpp_0(c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.4132487Z return (buf1, ) 2022-11-23T01:30:36.4132492Z 2022-11-23T01:30:36.4132496Z 2022-11-23T01:30:36.4132573Z if __name__ == "__main__": 2022-11-23T01:30:36.4132684Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4132807Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4133013Z arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4133218Z arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4133319Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4133337Z 2022-11-23T01:30:36.4133391Z ok (1.466s) 2022-11-23T01:30:36.4133690Z test_triu_cpu (__main__.CpuTests) ... [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4134008Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4134228Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4134482Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4134759Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4135134Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4135483Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4135804Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4136177Z [2022-11-23 01:28:25,087] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4136259Z 3161 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4136352Z 2 LOAD_METHOD 1 (triu) 2022-11-23T01:30:36.4136442Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4136537Z 6 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4136626Z 8 CALL_METHOD 2 2022-11-23T01:30:36.4136716Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4136805Z 12 LOAD_METHOD 1 (triu) 2022-11-23T01:30:36.4136879Z 14 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4136966Z 16 LOAD_CONST 2 (0) 2022-11-23T01:30:36.4137052Z 18 CALL_METHOD 2 2022-11-23T01:30:36.4137143Z 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4137231Z 22 LOAD_METHOD 1 (triu) 2022-11-23T01:30:36.4137317Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4137403Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4137475Z 28 CALL_METHOD 2 2022-11-23T01:30:36.4137561Z 30 BUILD_TUPLE 3 2022-11-23T01:30:36.4137642Z 32 RETURN_VALUE 2022-11-23T01:30:36.4137704Z 2022-11-23T01:30:36.4137709Z 2022-11-23T01:30:36.4138026Z [2022-11-23 01:28:25,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3161 2022-11-23T01:30:36.4138242Z [2022-11-23 01:28:25,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4138544Z [2022-11-23 01:28:25,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable()] 2022-11-23T01:30:36.4138792Z [2022-11-23 01:28:25,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)] 2022-11-23T01:30:36.4139073Z [2022-11-23 01:28:25,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()] 2022-11-23T01:30:36.4139381Z [2022-11-23 01:28:25,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4139627Z [2022-11-23 01:28:25,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.4139955Z [2022-11-23 01:28:25,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4140229Z [2022-11-23 01:28:25,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)] 2022-11-23T01:30:36.4140538Z [2022-11-23 01:28:25,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()] 2022-11-23T01:30:36.4140886Z [2022-11-23 01:28:25,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4141184Z [2022-11-23 01:28:25,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4141569Z [2022-11-23 01:28:25,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4141870Z [2022-11-23 01:28:25,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)] 2022-11-23T01:30:36.4142198Z [2022-11-23 01:28:25,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()] 2022-11-23T01:30:36.4142572Z [2022-11-23 01:28:25,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4142856Z [2022-11-23 01:28:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4143107Z [2022-11-23 01:28:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4143485Z [2022-11-23 01:28:25,112] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4143729Z [2022-11-23 01:28:25,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4143961Z [2022-11-23 01:28:25,112] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4144215Z [2022-11-23 01:28:25,113] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4144464Z [2022-11-23 01:28:25,118] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4144651Z [2022-11-23 01:28:25,118] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4144789Z __compiled_fn_407 .3256 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4144877Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4144970Z call_function, triu, aten.triu, (ex_0_, 1), {} 2022-11-23T01:30:36.4145074Z call_function, triu_1, aten.triu, (ex_0_, 0), {} 2022-11-23T01:30:36.4145179Z call_function, triu_2, aten.triu, (ex_0_, 2), {} 2022-11-23T01:30:36.4145291Z output, output, output, ((triu, triu_1, triu_2),), {} 2022-11-23T01:30:36.4145296Z 2022-11-23T01:30:36.4145615Z [2022-11-23 01:28:25,118] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4145707Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4145797Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4145870Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4145961Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4146049Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4146140Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4146216Z 12 RETURN_VALUE 2022-11-23T01:30:36.4146221Z 2022-11-23T01:30:36.4146280Z 2022-11-23T01:30:36.4146599Z [2022-11-23 01:28:25,118] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4146706Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_407) 2022-11-23T01:30:36.4146783Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4146871Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4146947Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4147033Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4147135Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4147234Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4147322Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4147446Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4147548Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4147635Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4147710Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4147808Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4147895Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4147969Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4148044Z 30 BUILD_TUPLE 3 2022-11-23T01:30:36.4148117Z 32 RETURN_VALUE 2022-11-23T01:30:36.4148122Z 2022-11-23T01:30:36.4148180Z 2022-11-23T01:30:36.4148364Z [2022-11-23 01:28:25,119] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4148432Z - 2022-11-23T01:30:36.4148549Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4148613Z { 2022-11-23T01:30:36.4148739Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4148928Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4149046Z 'obj_weakref': None 2022-11-23T01:30:36.4149273Z 'guarded_class': 2022-11-23T01:30:36.4149337Z } 2022-11-23T01:30:36.4149400Z 2022-11-23T01:30:36.4149468Z - 2022-11-23T01:30:36.4149590Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4149640Z { 2022-11-23T01:30:36.4149782Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4149887Z 'code': None, 2022-11-23T01:30:36.4150098Z 'obj_weakref': 2022-11-23T01:30:36.4150348Z 'guarded_class': 2022-11-23T01:30:36.4150411Z } 2022-11-23T01:30:36.4150475Z 2022-11-23T01:30:36.4150532Z - 2022-11-23T01:30:36.4150662Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4150724Z { 2022-11-23T01:30:36.4150856Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4151022Z 'code': ['___check_obj_id(model, 140534658454224)'], 2022-11-23T01:30:36.4151139Z 'obj_weakref': None 2022-11-23T01:30:36.4151366Z 'guarded_class': 2022-11-23T01:30:36.4151417Z } 2022-11-23T01:30:36.4151479Z 2022-11-23T01:30:36.4151547Z - 2022-11-23T01:30:36.4151667Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4151729Z { 2022-11-23T01:30:36.4151862Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4152076Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4152181Z 'obj_weakref': None 2022-11-23T01:30:36.4152407Z 'guarded_class': 2022-11-23T01:30:36.4152469Z } 2022-11-23T01:30:36.4152531Z 2022-11-23T01:30:36.4152599Z - 2022-11-23T01:30:36.4152728Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4152778Z { 2022-11-23T01:30:36.4152896Z 'guard_types': None, 2022-11-23T01:30:36.4153000Z 'code': None, 2022-11-23T01:30:36.4153116Z 'obj_weakref': None 2022-11-23T01:30:36.4153235Z 'guarded_class': None 2022-11-23T01:30:36.4153296Z } 2022-11-23T01:30:36.4153359Z 2022-11-23T01:30:36.4153605Z [2022-11-23 01:28:25,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399 2022-11-23T01:30:36.4153967Z [2022-11-23 01:28:26,586] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/cig5r3p6t2f74cekrdvgw5zcmln54ytrgdrixxecvjw7j3iqo3gi.py 2022-11-23T01:30:36.4154309Z [2022-11-23 01:28:26,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399 2022-11-23T01:30:36.4154315Z 2022-11-23T01:30:36.4154409Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4154477Z import torch 2022-11-23T01:30:36.4154546Z import random 2022-11-23T01:30:36.4154660Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4154780Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4154785Z 2022-11-23T01:30:36.4154862Z aten = torch.ops.aten 2022-11-23T01:30:36.4154983Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4155074Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4155079Z 2022-11-23T01:30:36.4155083Z 2022-11-23T01:30:36.4155218Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4155421Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4155538Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4155642Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4155740Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.4155820Z float* __restrict__ out_ptr2) 2022-11-23T01:30:36.4155880Z { 2022-11-23T01:30:36.4155978Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4156041Z { 2022-11-23T01:30:36.4156132Z #pragma omp for collapse(2) 2022-11-23T01:30:36.4156213Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.4156275Z { 2022-11-23T01:30:36.4156348Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.4156411Z { 2022-11-23T01:30:36.4156492Z #pragma GCC ivdep 2022-11-23T01:30:36.4156581Z for(long i2=0; i2<10; i2+=1) 2022-11-23T01:30:36.4156647Z { 2022-11-23T01:30:36.4156712Z { 2022-11-23T01:30:36.4156780Z { 2022-11-23T01:30:36.4156882Z auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)]; 2022-11-23T01:30:36.4157069Z auto tmp0 = static_cast((-1) + i2 + ((-1)*i1)); 2022-11-23T01:30:36.4157175Z auto tmp1 = static_cast(0); 2022-11-23T01:30:36.4157270Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:30:36.4157376Z auto tmp4 = static_cast(0); 2022-11-23T01:30:36.4157478Z auto tmp5 = tmp2 ? tmp3 : tmp4; 2022-11-23T01:30:36.4157653Z auto tmp6 = static_cast(i2 + ((-1)*i1)); 2022-11-23T01:30:36.4157748Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:30:36.4157837Z auto tmp8 = tmp7 ? tmp3 : tmp4; 2022-11-23T01:30:36.4158018Z auto tmp9 = static_cast((-2) + i2 + ((-1)*i1)); 2022-11-23T01:30:36.4158116Z auto tmp10 = tmp9 >= tmp1; 2022-11-23T01:30:36.4158223Z auto tmp11 = tmp10 ? tmp3 : tmp4; 2022-11-23T01:30:36.4158326Z out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5; 2022-11-23T01:30:36.4158424Z out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8; 2022-11-23T01:30:36.4158526Z out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11; 2022-11-23T01:30:36.4158582Z } 2022-11-23T01:30:36.4158648Z } 2022-11-23T01:30:36.4158710Z } 2022-11-23T01:30:36.4158774Z } 2022-11-23T01:30:36.4158835Z } 2022-11-23T01:30:36.4158895Z } 2022-11-23T01:30:36.4158953Z } 2022-11-23T01:30:36.4159016Z ''') 2022-11-23T01:30:36.4159021Z 2022-11-23T01:30:36.4159025Z 2022-11-23T01:30:36.4159116Z async_compile.wait(globals()) 2022-11-23T01:30:36.4159186Z del async_compile 2022-11-23T01:30:36.4159191Z 2022-11-23T01:30:36.4159261Z def call(args): 2022-11-23T01:30:36.4159329Z arg0_1, = args 2022-11-23T01:30:36.4159432Z args.clear() 2022-11-23T01:30:36.4159666Z buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4159860Z buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4160149Z buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4160342Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:30:36.4160414Z del arg0_1 2022-11-23T01:30:36.4160497Z return (buf0, buf1, buf2, ) 2022-11-23T01:30:36.4160502Z 2022-11-23T01:30:36.4160506Z 2022-11-23T01:30:36.4160582Z if __name__ == "__main__": 2022-11-23T01:30:36.4160699Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4160821Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4161031Z arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4161130Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4161135Z 2022-11-23T01:30:36.4161202Z ok (1.505s) 2022-11-23T01:30:36.4161503Z test_unbind_cpu (__main__.CpuTests) ... [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4161822Z [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4162036Z [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4162288Z [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4162562Z [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4162884Z [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4163234Z [2022-11-23 01:28:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4163541Z [2022-11-23 01:28:26,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4163914Z [2022-11-23 01:28:26,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4164009Z 1800 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4164100Z 2 LOAD_METHOD 1 (unbind) 2022-11-23T01:30:36.4164190Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4164279Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4164374Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4164470Z 10 LOAD_METHOD 1 (unbind) 2022-11-23T01:30:36.4164547Z 12 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4164684Z 14 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4164888Z 16 CALL_METHOD 2 2022-11-23T01:30:36.4164978Z 18 BUILD_TUPLE 2 2022-11-23T01:30:36.4165055Z 20 RETURN_VALUE 2022-11-23T01:30:36.4165115Z 2022-11-23T01:30:36.4165119Z 2022-11-23T01:30:36.4165436Z [2022-11-23 01:28:26,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1800 2022-11-23T01:30:36.4165653Z [2022-11-23 01:28:26,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.4166008Z [2022-11-23 01:28:26,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable()] 2022-11-23T01:30:36.4166426Z [2022-11-23 01:28:26,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.4166785Z [2022-11-23 01:28:26,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4167030Z [2022-11-23 01:28:26,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()] 2022-11-23T01:30:36.4167427Z [2022-11-23 01:28:26,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable()] 2022-11-23T01:30:36.4167779Z [2022-11-23 01:28:26,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable()] 2022-11-23T01:30:36.4168163Z [2022-11-23 01:28:26,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4168584Z [2022-11-23 01:28:26,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4168853Z [2022-11-23 01:28:26,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()] 2022-11-23T01:30:36.4169098Z [2022-11-23 01:28:26,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4169471Z [2022-11-23 01:28:26,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4169717Z [2022-11-23 01:28:26,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4169943Z [2022-11-23 01:28:26,597] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4170197Z [2022-11-23 01:28:26,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4170443Z [2022-11-23 01:28:26,602] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4170629Z [2022-11-23 01:28:26,603] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4170764Z __compiled_fn_408 .3262 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4170855Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4171087Z call_function, unbind, , (ex_0_,), {} 2022-11-23T01:30:36.4171276Z call_function, getitem, , (unbind, 0), {} 2022-11-23T01:30:36.4171461Z call_function, getitem_1, , (unbind, 1), {} 2022-11-23T01:30:36.4171651Z call_function, getitem_2, , (unbind, 2), {} 2022-11-23T01:30:36.4171842Z call_function, getitem_3, , (unbind, 3), {} 2022-11-23T01:30:36.4172078Z call_function, unbind_1, , (ex_0_, -1), {} 2022-11-23T01:30:36.4172271Z call_function, getitem_4, , (unbind_1, 0), {} 2022-11-23T01:30:36.4172462Z call_function, getitem_5, , (unbind_1, 1), {} 2022-11-23T01:30:36.4172654Z call_function, getitem_6, , (unbind_1, 2), {} 2022-11-23T01:30:36.4172842Z call_function, getitem_7, , (unbind_1, 3), {} 2022-11-23T01:30:36.4173006Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {} 2022-11-23T01:30:36.4173025Z 2022-11-23T01:30:36.4173393Z [2022-11-23 01:28:26,603] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4173491Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4173584Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4173672Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4173766Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4173849Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4173936Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4174000Z 12 RETURN_VALUE 2022-11-23T01:30:36.4174018Z 2022-11-23T01:30:36.4174066Z 2022-11-23T01:30:36.4174388Z [2022-11-23 01:28:26,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4174495Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_408) 2022-11-23T01:30:36.4174590Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4174680Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4174757Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4174844Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4174934Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4175035Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4175123Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4175200Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4175300Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4175388Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4175463Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4175549Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4175638Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4175711Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4175816Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4175903Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4175977Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4176063Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.4176149Z 38 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4176235Z 40 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4176309Z 42 BINARY_SUBSCR 2022-11-23T01:30:36.4176407Z 44 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4176492Z 46 LOAD_CONST 6 (5) 2022-11-23T01:30:36.4176565Z 48 BINARY_SUBSCR 2022-11-23T01:30:36.4176664Z 50 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4176749Z 52 LOAD_CONST 7 (6) 2022-11-23T01:30:36.4176810Z 54 BINARY_SUBSCR 2022-11-23T01:30:36.4176908Z 56 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4176999Z 58 LOAD_CONST 8 (7) 2022-11-23T01:30:36.4177076Z 60 BINARY_SUBSCR 2022-11-23T01:30:36.4177162Z 62 BUILD_TUPLE 4 2022-11-23T01:30:36.4177248Z 64 BUILD_TUPLE 2 2022-11-23T01:30:36.4177321Z 66 RETURN_VALUE 2022-11-23T01:30:36.4177326Z 2022-11-23T01:30:36.4177373Z 2022-11-23T01:30:36.4177555Z [2022-11-23 01:28:26,604] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4177624Z - 2022-11-23T01:30:36.4177745Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4177809Z { 2022-11-23T01:30:36.4177950Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4178135Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4178241Z 'obj_weakref': None 2022-11-23T01:30:36.4178465Z 'guarded_class': 2022-11-23T01:30:36.4178613Z } 2022-11-23T01:30:36.4178679Z 2022-11-23T01:30:36.4178747Z - 2022-11-23T01:30:36.4178872Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4178936Z { 2022-11-23T01:30:36.4179064Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4179169Z 'code': None, 2022-11-23T01:30:36.4179380Z 'obj_weakref': 2022-11-23T01:30:36.4179632Z 'guarded_class': 2022-11-23T01:30:36.4179695Z } 2022-11-23T01:30:36.4179759Z 2022-11-23T01:30:36.4179829Z - 2022-11-23T01:30:36.4179945Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4180008Z { 2022-11-23T01:30:36.4180141Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4180310Z 'code': ['___check_obj_id(model, 140534660107136)'], 2022-11-23T01:30:36.4180435Z 'obj_weakref': None 2022-11-23T01:30:36.4180668Z 'guarded_class': 2022-11-23T01:30:36.4180732Z } 2022-11-23T01:30:36.4180783Z 2022-11-23T01:30:36.4180851Z - 2022-11-23T01:30:36.4180971Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4181035Z { 2022-11-23T01:30:36.4181168Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4181383Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4181498Z 'obj_weakref': None 2022-11-23T01:30:36.4181707Z 'guarded_class': 2022-11-23T01:30:36.4181771Z } 2022-11-23T01:30:36.4181832Z 2022-11-23T01:30:36.4181900Z - 2022-11-23T01:30:36.4182031Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4182097Z { 2022-11-23T01:30:36.4182216Z 'guard_types': None, 2022-11-23T01:30:36.4182309Z 'code': None, 2022-11-23T01:30:36.4182422Z 'obj_weakref': None 2022-11-23T01:30:36.4182543Z 'guarded_class': None 2022-11-23T01:30:36.4182606Z } 2022-11-23T01:30:36.4182668Z 2022-11-23T01:30:36.4182929Z [2022-11-23 01:28:26,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400 2022-11-23T01:30:36.4183297Z [2022-11-23 01:28:26,618] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2vcwssqzdyg72fooo5jhcoqpfvhrsbx4rwk5brao54guvo4kod.py 2022-11-23T01:30:36.4183546Z [2022-11-23 01:28:26,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400 2022-11-23T01:30:36.4183563Z 2022-11-23T01:30:36.4183644Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4183712Z import torch 2022-11-23T01:30:36.4183785Z import random 2022-11-23T01:30:36.4183903Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4184023Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4184028Z 2022-11-23T01:30:36.4184104Z aten = torch.ops.aten 2022-11-23T01:30:36.4184237Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4184316Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4184321Z 2022-11-23T01:30:36.4184325Z 2022-11-23T01:30:36.4184412Z async_compile.wait(globals()) 2022-11-23T01:30:36.4184483Z del async_compile 2022-11-23T01:30:36.4184490Z 2022-11-23T01:30:36.4184561Z def call(args): 2022-11-23T01:30:36.4184629Z arg0_1, = args 2022-11-23T01:30:36.4184699Z args.clear() 2022-11-23T01:30:36.4185006Z return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), ) 2022-11-23T01:30:36.4185039Z 2022-11-23T01:30:36.4185042Z 2022-11-23T01:30:36.4185118Z if __name__ == "__main__": 2022-11-23T01:30:36.4185231Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4185341Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4185548Z arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4185653Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4185658Z 2022-11-23T01:30:36.4185725Z ok (0.032s) 2022-11-23T01:30:36.4186049Z test_unroll_small_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4186363Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4186587Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4186840Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4187116Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4187422Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4187767Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4188087Z [2022-11-23 01:28:26,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4188460Z [2022-11-23 01:28:26,624] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4188553Z 804 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4188647Z 2 LOAD_METHOD 0 (min) 2022-11-23T01:30:36.4188782Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4188867Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4188957Z 8 UNPACK_SEQUENCE 2 2022-11-23T01:30:36.4189036Z 10 STORE_FAST 1 (val1) 2022-11-23T01:30:36.4189127Z 12 STORE_FAST 2 (index1) 2022-11-23T01:30:36.4189132Z 2022-11-23T01:30:36.4189220Z 805 14 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4189311Z 16 LOAD_METHOD 1 (max) 2022-11-23T01:30:36.4189445Z 18 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4189529Z 20 CALL_METHOD 1 2022-11-23T01:30:36.4189623Z 22 UNPACK_SEQUENCE 2 2022-11-23T01:30:36.4189700Z 24 STORE_FAST 3 (val2) 2022-11-23T01:30:36.4189791Z 26 STORE_FAST 4 (index2) 2022-11-23T01:30:36.4189796Z 2022-11-23T01:30:36.4189882Z 807 28 LOAD_FAST 1 (val1) 2022-11-23T01:30:36.4189887Z 2022-11-23T01:30:36.4189976Z 808 30 LOAD_FAST 2 (index1) 2022-11-23T01:30:36.4189980Z 2022-11-23T01:30:36.4190067Z 809 32 LOAD_FAST 3 (val2) 2022-11-23T01:30:36.4190072Z 2022-11-23T01:30:36.4190160Z 810 34 LOAD_FAST 4 (index2) 2022-11-23T01:30:36.4190165Z 2022-11-23T01:30:36.4190253Z 811 36 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4190343Z 38 LOAD_METHOD 2 (sum) 2022-11-23T01:30:36.4190476Z 40 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4190547Z 42 CALL_METHOD 1 2022-11-23T01:30:36.4190580Z 2022-11-23T01:30:36.4190695Z 812 44 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4190785Z 46 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4190875Z 48 COMPARE_OP 4 (>) 2022-11-23T01:30:36.4190965Z 50 LOAD_METHOD 3 (any) 2022-11-23T01:30:36.4191099Z 52 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4191184Z 54 CALL_METHOD 1 2022-11-23T01:30:36.4191188Z 2022-11-23T01:30:36.4191274Z 813 56 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4191347Z 58 LOAD_CONST 3 (0) 2022-11-23T01:30:36.4191435Z 60 COMPARE_OP 4 (>) 2022-11-23T01:30:36.4191525Z 62 LOAD_METHOD 4 (all) 2022-11-23T01:30:36.4191657Z 64 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4191741Z 66 CALL_METHOD 1 2022-11-23T01:30:36.4191746Z 2022-11-23T01:30:36.4191831Z 814 68 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4191927Z 70 LOAD_METHOD 5 (argmin) 2022-11-23T01:30:36.4192044Z 72 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4192128Z 74 CALL_METHOD 1 2022-11-23T01:30:36.4192133Z 2022-11-23T01:30:36.4192217Z 815 76 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4192308Z 78 LOAD_METHOD 6 (argmax) 2022-11-23T01:30:36.4192439Z 80 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4192522Z 82 CALL_METHOD 1 2022-11-23T01:30:36.4192527Z 2022-11-23T01:30:36.4192611Z 816 84 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4192701Z 86 LOAD_METHOD 7 (amin) 2022-11-23T01:30:36.4192822Z 88 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4192907Z 90 CALL_METHOD 1 2022-11-23T01:30:36.4192911Z 2022-11-23T01:30:36.4192997Z 817 92 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4193093Z 94 LOAD_METHOD 8 (amax) 2022-11-23T01:30:36.4193224Z 96 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4193307Z 98 CALL_METHOD 1 2022-11-23T01:30:36.4193312Z 2022-11-23T01:30:36.4193394Z 806 100 BUILD_TUPLE 11 2022-11-23T01:30:36.4193470Z 102 RETURN_VALUE 2022-11-23T01:30:36.4193518Z 2022-11-23T01:30:36.4193523Z 2022-11-23T01:30:36.4193839Z [2022-11-23 01:28:26,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804 2022-11-23T01:30:36.4194048Z [2022-11-23 01:28:26,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4194289Z [2022-11-23 01:28:26,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()] 2022-11-23T01:30:36.4194565Z [2022-11-23 01:28:26,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:30:36.4194883Z [2022-11-23 01:28:26,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)] 2022-11-23T01:30:36.4195139Z [2022-11-23 01:28:26,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:30:36.4195408Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4195653Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()] 2022-11-23T01:30:36.4195952Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805 2022-11-23T01:30:36.4196159Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4196399Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()] 2022-11-23T01:30:36.4196740Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:30:36.4197057Z [2022-11-23 01:28:26,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)] 2022-11-23T01:30:36.4197313Z [2022-11-23 01:28:26,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:30:36.4197581Z [2022-11-23 01:28:26,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4197825Z [2022-11-23 01:28:26,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()] 2022-11-23T01:30:36.4198134Z [2022-11-23 01:28:26,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807 2022-11-23T01:30:36.4198349Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 [] 2022-11-23T01:30:36.4198648Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808 2022-11-23T01:30:36.4198891Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()] 2022-11-23T01:30:36.4199199Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809 2022-11-23T01:30:36.4199465Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4199770Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810 2022-11-23T01:30:36.4200159Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4200471Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811 2022-11-23T01:30:36.4200787Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4201136Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4201523Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.4201955Z [2022-11-23 01:28:26,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.4202255Z [2022-11-23 01:28:26,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812 2022-11-23T01:30:36.4202600Z [2022-11-23 01:28:26,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4202977Z [2022-11-23 01:28:26,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4203395Z [2022-11-23 01:28:26,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4203802Z [2022-11-23 01:28:26,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4204246Z [2022-11-23 01:28:26,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:30:36.4204703Z [2022-11-23 01:28:26,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:30:36.4205132Z [2022-11-23 01:28:26,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813 2022-11-23T01:30:36.4205507Z [2022-11-23 01:28:26,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4205914Z [2022-11-23 01:28:26,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4206358Z [2022-11-23 01:28:26,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4206763Z [2022-11-23 01:28:26,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4207209Z [2022-11-23 01:28:26,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)] 2022-11-23T01:30:36.4207696Z [2022-11-23 01:28:26,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)] 2022-11-23T01:30:36.4208005Z [2022-11-23 01:28:26,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814 2022-11-23T01:30:36.4208408Z [2022-11-23 01:28:26,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4208851Z [2022-11-23 01:28:26,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4209319Z [2022-11-23 01:28:26,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:30:36.4211276Z [2022-11-23 01:28:26,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)] 2022-11-23T01:30:36.4211623Z [2022-11-23 01:28:26,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815 2022-11-23T01:30:36.4212057Z [2022-11-23 01:28:26,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4212580Z [2022-11-23 01:28:26,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4213084Z [2022-11-23 01:28:26,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:30:36.4213652Z [2022-11-23 01:28:26,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)] 2022-11-23T01:30:36.4213968Z [2022-11-23 01:28:26,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816 2022-11-23T01:30:36.4214435Z [2022-11-23 01:28:26,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4214924Z [2022-11-23 01:28:26,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4215453Z [2022-11-23 01:28:26,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)] 2022-11-23T01:30:36.4216026Z [2022-11-23 01:28:26,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)] 2022-11-23T01:30:36.4216340Z [2022-11-23 01:28:26,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817 2022-11-23T01:30:36.4216831Z [2022-11-23 01:28:26,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4217354Z [2022-11-23 01:28:26,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4217912Z [2022-11-23 01:28:26,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)] 2022-11-23T01:30:36.4218552Z [2022-11-23 01:28:26,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)] 2022-11-23T01:30:36.4218865Z [2022-11-23 01:28:26,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806 2022-11-23T01:30:36.4219387Z [2022-11-23 01:28:26,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4219667Z [2022-11-23 01:28:26,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4220044Z [2022-11-23 01:28:26,638] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4220290Z [2022-11-23 01:28:26,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4220525Z [2022-11-23 01:28:26,638] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4220778Z [2022-11-23 01:28:26,640] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4221011Z [2022-11-23 01:28:26,647] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4221201Z [2022-11-23 01:28:26,647] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4221334Z __compiled_fn_409 .3268 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4221424Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4221561Z call_method, min_1, min, (ex_0_, -1), {} 2022-11-23T01:30:36.4221747Z call_function, getitem, , (min_1, 0), {} 2022-11-23T01:30:36.4221939Z call_function, getitem_1, , (min_1, 1), {} 2022-11-23T01:30:36.4222059Z call_method, max_1, max, (ex_0_, -1), {} 2022-11-23T01:30:36.4222244Z call_function, getitem_2, , (max_1, 0), {} 2022-11-23T01:30:36.4222426Z call_function, getitem_3, , (max_1, 1), {} 2022-11-23T01:30:36.4222556Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:30:36.4222721Z call_function, gt, , (ex_0_, 1), {} 2022-11-23T01:30:36.4222851Z call_method, any_1, any, (gt, -1), {} 2022-11-23T01:30:36.4223018Z call_function, gt_1, , (ex_0_, 0), {} 2022-11-23T01:30:36.4223146Z call_method, all_1, all, (gt_1, -1), {} 2022-11-23T01:30:36.4223277Z call_method, argmin, argmin, (ex_0_, -1), {} 2022-11-23T01:30:36.4223420Z call_method, argmax, argmax, (ex_0_, -1), {} 2022-11-23T01:30:36.4223551Z call_method, amin, amin, (ex_0_, -1), {} 2022-11-23T01:30:36.4223681Z call_method, amax, amax, (ex_0_, -1), {} 2022-11-23T01:30:36.4223865Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {} 2022-11-23T01:30:36.4223872Z 2022-11-23T01:30:36.4224197Z [2022-11-23 01:28:26,648] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4224292Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4224384Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4224459Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4224551Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4224636Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4224724Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4224799Z 12 RETURN_VALUE 2022-11-23T01:30:36.4224803Z 2022-11-23T01:30:36.4224865Z 2022-11-23T01:30:36.4225227Z [2022-11-23 01:28:26,648] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4225325Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_409) 2022-11-23T01:30:36.4225416Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4225505Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4225583Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4225670Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4225800Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4225900Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4225987Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4226052Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4226152Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4226241Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4226319Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4226421Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4226509Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4226584Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4226671Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4226758Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4226832Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4226932Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4227023Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4227098Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4227196Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4227270Z 44 LOAD_CONST 6 (5) 2022-11-23T01:30:36.4227344Z 46 BINARY_SUBSCR 2022-11-23T01:30:36.4227445Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4227532Z 50 LOAD_CONST 7 (6) 2022-11-23T01:30:36.4227609Z 52 BINARY_SUBSCR 2022-11-23T01:30:36.4227710Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4227796Z 56 LOAD_CONST 8 (7) 2022-11-23T01:30:36.4227858Z 58 BINARY_SUBSCR 2022-11-23T01:30:36.4227956Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4228042Z 62 LOAD_CONST 9 (8) 2022-11-23T01:30:36.4228120Z 64 BINARY_SUBSCR 2022-11-23T01:30:36.4228217Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4228303Z 68 LOAD_CONST 10 (9) 2022-11-23T01:30:36.4228378Z 70 BINARY_SUBSCR 2022-11-23T01:30:36.4228462Z 72 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4228550Z 74 LOAD_CONST 11 (10) 2022-11-23T01:30:36.4228624Z 76 BINARY_SUBSCR 2022-11-23T01:30:36.4228714Z 78 BUILD_TUPLE 11 2022-11-23T01:30:36.4228790Z 80 RETURN_VALUE 2022-11-23T01:30:36.4228794Z 2022-11-23T01:30:36.4228854Z 2022-11-23T01:30:36.4229041Z [2022-11-23 01:28:26,649] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4229098Z - 2022-11-23T01:30:36.4229216Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4229282Z { 2022-11-23T01:30:36.4229425Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4229614Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4229733Z 'obj_weakref': None 2022-11-23T01:30:36.4229961Z 'guarded_class': 2022-11-23T01:30:36.4230025Z } 2022-11-23T01:30:36.4230076Z 2022-11-23T01:30:36.4230145Z - 2022-11-23T01:30:36.4230267Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4230331Z { 2022-11-23T01:30:36.4230509Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4230618Z 'code': None, 2022-11-23T01:30:36.4230819Z 'obj_weakref': 2022-11-23T01:30:36.4231078Z 'guarded_class': 2022-11-23T01:30:36.4231142Z } 2022-11-23T01:30:36.4231205Z 2022-11-23T01:30:36.4231310Z - 2022-11-23T01:30:36.4231441Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4231505Z { 2022-11-23T01:30:36.4231625Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4231795Z 'code': ['___check_obj_id(model, 140534429637152)'], 2022-11-23T01:30:36.4231913Z 'obj_weakref': None 2022-11-23T01:30:36.4232145Z 'guarded_class': 2022-11-23T01:30:36.4232208Z } 2022-11-23T01:30:36.4232274Z 2022-11-23T01:30:36.4232342Z - 2022-11-23T01:30:36.4232450Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4232513Z { 2022-11-23T01:30:36.4232649Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4232863Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4232981Z 'obj_weakref': None 2022-11-23T01:30:36.4233203Z 'guarded_class': 2022-11-23T01:30:36.4233268Z } 2022-11-23T01:30:36.4233319Z 2022-11-23T01:30:36.4233579Z [2022-11-23 01:28:26,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401 2022-11-23T01:30:36.4233947Z [2022-11-23 01:28:28,150] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cva2lysbggsvrhvn6g3bxk5k4fgzwr7ip2zslumfyfrpfmv74ugn.py 2022-11-23T01:30:36.4234215Z [2022-11-23 01:28:28,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401 2022-11-23T01:30:36.4234453Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4234766Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4234981Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4235234Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4235509Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4235825Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4236162Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4236485Z [2022-11-23 01:28:28,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4236859Z [2022-11-23 01:28:28,156] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4236955Z 804 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4237050Z 2 LOAD_METHOD 0 (min) 2022-11-23T01:30:36.4237187Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4237277Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4237368Z 8 UNPACK_SEQUENCE 2 2022-11-23T01:30:36.4237459Z 10 STORE_FAST 1 (val1) 2022-11-23T01:30:36.4237566Z 12 STORE_FAST 2 (index1) 2022-11-23T01:30:36.4237572Z 2022-11-23T01:30:36.4237663Z 805 14 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4237753Z 16 LOAD_METHOD 1 (max) 2022-11-23T01:30:36.4237886Z 18 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4237972Z 20 CALL_METHOD 1 2022-11-23T01:30:36.4238060Z 22 UNPACK_SEQUENCE 2 2022-11-23T01:30:36.4238177Z 24 STORE_FAST 3 (val2) 2022-11-23T01:30:36.4238256Z 26 STORE_FAST 4 (index2) 2022-11-23T01:30:36.4238260Z 2022-11-23T01:30:36.4238350Z 807 28 LOAD_FAST 1 (val1) 2022-11-23T01:30:36.4238355Z 2022-11-23T01:30:36.4238445Z 808 30 LOAD_FAST 2 (index1) 2022-11-23T01:30:36.4238449Z 2022-11-23T01:30:36.4238536Z 809 32 LOAD_FAST 3 (val2) 2022-11-23T01:30:36.4238541Z 2022-11-23T01:30:36.4238632Z 810 34 LOAD_FAST 4 (index2) 2022-11-23T01:30:36.4238637Z 2022-11-23T01:30:36.4238723Z 811 36 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4238813Z 38 LOAD_METHOD 2 (sum) 2022-11-23T01:30:36.4238948Z 40 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4239033Z 42 CALL_METHOD 1 2022-11-23T01:30:36.4239038Z 2022-11-23T01:30:36.4239115Z 812 44 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4239201Z 46 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4239291Z 48 COMPARE_OP 4 (>) 2022-11-23T01:30:36.4239382Z 50 LOAD_METHOD 3 (any) 2022-11-23T01:30:36.4239515Z 52 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4239600Z 54 CALL_METHOD 1 2022-11-23T01:30:36.4239604Z 2022-11-23T01:30:36.4239692Z 813 56 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4239780Z 58 LOAD_CONST 3 (0) 2022-11-23T01:30:36.4239856Z 60 COMPARE_OP 4 (>) 2022-11-23T01:30:36.4239944Z 62 LOAD_METHOD 4 (all) 2022-11-23T01:30:36.4240176Z 64 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4240262Z 66 CALL_METHOD 1 2022-11-23T01:30:36.4240266Z 2022-11-23T01:30:36.4240353Z 814 68 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4240448Z 70 LOAD_METHOD 5 (argmin) 2022-11-23T01:30:36.4240581Z 72 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4240652Z 74 CALL_METHOD 1 2022-11-23T01:30:36.4240656Z 2022-11-23T01:30:36.4240742Z 815 76 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4240833Z 78 LOAD_METHOD 6 (argmax) 2022-11-23T01:30:36.4240964Z 80 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4241048Z 82 CALL_METHOD 1 2022-11-23T01:30:36.4241054Z 2022-11-23T01:30:36.4241140Z 816 84 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4241232Z 86 LOAD_METHOD 7 (amin) 2022-11-23T01:30:36.4241366Z 88 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4241437Z 90 CALL_METHOD 1 2022-11-23T01:30:36.4241442Z 2022-11-23T01:30:36.4241527Z 817 92 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4241619Z 94 LOAD_METHOD 8 (amax) 2022-11-23T01:30:36.4241751Z 96 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4241835Z 98 CALL_METHOD 1 2022-11-23T01:30:36.4241840Z 2022-11-23T01:30:36.4241923Z 806 100 BUILD_TUPLE 11 2022-11-23T01:30:36.4241998Z 102 RETURN_VALUE 2022-11-23T01:30:36.4242047Z 2022-11-23T01:30:36.4242063Z 2022-11-23T01:30:36.4242406Z [2022-11-23 01:28:28,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804 2022-11-23T01:30:36.4242618Z [2022-11-23 01:28:28,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4242858Z [2022-11-23 01:28:28,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()] 2022-11-23T01:30:36.4243132Z [2022-11-23 01:28:28,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:30:36.4243490Z [2022-11-23 01:28:28,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)] 2022-11-23T01:30:36.4243744Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:30:36.4244013Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4244259Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()] 2022-11-23T01:30:36.4244568Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805 2022-11-23T01:30:36.4244937Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4245181Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()] 2022-11-23T01:30:36.4245461Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:30:36.4245771Z [2022-11-23 01:28:28,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)] 2022-11-23T01:30:36.4246029Z [2022-11-23 01:28:28,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:30:36.4246299Z [2022-11-23 01:28:28,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4246541Z [2022-11-23 01:28:28,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()] 2022-11-23T01:30:36.4246850Z [2022-11-23 01:28:28,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807 2022-11-23T01:30:36.4247064Z [2022-11-23 01:28:28,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 [] 2022-11-23T01:30:36.4247374Z [2022-11-23 01:28:28,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808 2022-11-23T01:30:36.4247604Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()] 2022-11-23T01:30:36.4247915Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809 2022-11-23T01:30:36.4248182Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4248489Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810 2022-11-23T01:30:36.4248787Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4249094Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811 2022-11-23T01:30:36.4249412Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4249810Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4250202Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:30:36.4250630Z [2022-11-23 01:28:28,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:30:36.4250981Z [2022-11-23 01:28:28,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812 2022-11-23T01:30:36.4251326Z [2022-11-23 01:28:28,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4251691Z [2022-11-23 01:28:28,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4252113Z [2022-11-23 01:28:28,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4252488Z [2022-11-23 01:28:28,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4252912Z [2022-11-23 01:28:28,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:30:36.4253372Z [2022-11-23 01:28:28,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:30:36.4253680Z [2022-11-23 01:28:28,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813 2022-11-23T01:30:36.4254051Z [2022-11-23 01:28:28,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4254455Z [2022-11-23 01:28:28,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4254901Z [2022-11-23 01:28:28,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4255305Z [2022-11-23 01:28:28,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4255749Z [2022-11-23 01:28:28,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)] 2022-11-23T01:30:36.4256234Z [2022-11-23 01:28:28,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)] 2022-11-23T01:30:36.4256540Z [2022-11-23 01:28:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814 2022-11-23T01:30:36.4256976Z [2022-11-23 01:28:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4257416Z [2022-11-23 01:28:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4257894Z [2022-11-23 01:28:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:30:36.4258438Z [2022-11-23 01:28:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)] 2022-11-23T01:30:36.4258753Z [2022-11-23 01:28:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815 2022-11-23T01:30:36.4259175Z [2022-11-23 01:28:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4259642Z [2022-11-23 01:28:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4260151Z [2022-11-23 01:28:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:30:36.4260694Z [2022-11-23 01:28:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)] 2022-11-23T01:30:36.4261003Z [2022-11-23 01:28:28,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816 2022-11-23T01:30:36.4261463Z [2022-11-23 01:28:28,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4261955Z [2022-11-23 01:28:28,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4262483Z [2022-11-23 01:28:28,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)] 2022-11-23T01:30:36.4263056Z [2022-11-23 01:28:28,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)] 2022-11-23T01:30:36.4263373Z [2022-11-23 01:28:28,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817 2022-11-23T01:30:36.4263888Z [2022-11-23 01:28:28,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4264409Z [2022-11-23 01:28:28,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4264999Z [2022-11-23 01:28:28,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)] 2022-11-23T01:30:36.4265597Z [2022-11-23 01:28:28,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)] 2022-11-23T01:30:36.4265910Z [2022-11-23 01:28:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806 2022-11-23T01:30:36.4266432Z [2022-11-23 01:28:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4266680Z [2022-11-23 01:28:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4267055Z [2022-11-23 01:28:28,169] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4267299Z [2022-11-23 01:28:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4267535Z [2022-11-23 01:28:28,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4267776Z [2022-11-23 01:28:28,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4268023Z [2022-11-23 01:28:28,179] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4268212Z [2022-11-23 01:28:28,179] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4268345Z __compiled_fn_410 .3274 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4268435Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4268569Z call_method, min_1, min, (ex_0_, -1), {} 2022-11-23T01:30:36.4268756Z call_function, getitem, , (min_1, 0), {} 2022-11-23T01:30:36.4268945Z call_function, getitem_1, , (min_1, 1), {} 2022-11-23T01:30:36.4269065Z call_method, max_1, max, (ex_0_, -1), {} 2022-11-23T01:30:36.4269250Z call_function, getitem_2, , (max_1, 0), {} 2022-11-23T01:30:36.4269430Z call_function, getitem_3, , (max_1, 1), {} 2022-11-23T01:30:36.4269559Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:30:36.4269724Z call_function, gt, , (ex_0_, 1), {} 2022-11-23T01:30:36.4269853Z call_method, any_1, any, (gt, -1), {} 2022-11-23T01:30:36.4270021Z call_function, gt_1, , (ex_0_, 0), {} 2022-11-23T01:30:36.4270138Z call_method, all_1, all, (gt_1, -1), {} 2022-11-23T01:30:36.4270279Z call_method, argmin, argmin, (ex_0_, -1), {} 2022-11-23T01:30:36.4270421Z call_method, argmax, argmax, (ex_0_, -1), {} 2022-11-23T01:30:36.4270554Z call_method, amin, amin, (ex_0_, -1), {} 2022-11-23T01:30:36.4270685Z call_method, amax, amax, (ex_0_, -1), {} 2022-11-23T01:30:36.4270892Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {} 2022-11-23T01:30:36.4270899Z 2022-11-23T01:30:36.4271231Z [2022-11-23 01:28:28,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4271326Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4271404Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4271519Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4271610Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4271693Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4271782Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4271860Z 12 RETURN_VALUE 2022-11-23T01:30:36.4271865Z 2022-11-23T01:30:36.4271927Z 2022-11-23T01:30:36.4272251Z [2022-11-23 01:28:28,180] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4272348Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_410) 2022-11-23T01:30:36.4272439Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4272527Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4272604Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4272695Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4272796Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4272899Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4272973Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4273049Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4273148Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4273235Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4273309Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4273410Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4273496Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4273558Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4273657Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4273743Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4273817Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4273914Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4274002Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4274075Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4274161Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4274249Z 44 LOAD_CONST 6 (5) 2022-11-23T01:30:36.4274323Z 46 BINARY_SUBSCR 2022-11-23T01:30:36.4274418Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4274503Z 50 LOAD_CONST 7 (6) 2022-11-23T01:30:36.4274579Z 52 BINARY_SUBSCR 2022-11-23T01:30:36.4274677Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4274762Z 56 LOAD_CONST 8 (7) 2022-11-23T01:30:36.4274823Z 58 BINARY_SUBSCR 2022-11-23T01:30:36.4274920Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4275007Z 62 LOAD_CONST 9 (8) 2022-11-23T01:30:36.4275080Z 64 BINARY_SUBSCR 2022-11-23T01:30:36.4275179Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4275264Z 68 LOAD_CONST 10 (9) 2022-11-23T01:30:36.4275337Z 70 BINARY_SUBSCR 2022-11-23T01:30:36.4275420Z 72 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4275507Z 74 LOAD_CONST 11 (10) 2022-11-23T01:30:36.4275580Z 76 BINARY_SUBSCR 2022-11-23T01:30:36.4275667Z 78 BUILD_TUPLE 11 2022-11-23T01:30:36.4275770Z 80 RETURN_VALUE 2022-11-23T01:30:36.4275775Z 2022-11-23T01:30:36.4275836Z 2022-11-23T01:30:36.4276019Z [2022-11-23 01:28:28,180] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4276075Z - 2022-11-23T01:30:36.4276193Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4276256Z { 2022-11-23T01:30:36.4276396Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4276582Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4276729Z 'obj_weakref': None 2022-11-23T01:30:36.4276954Z 'guarded_class': 2022-11-23T01:30:36.4277007Z } 2022-11-23T01:30:36.4277071Z 2022-11-23T01:30:36.4277139Z - 2022-11-23T01:30:36.4277264Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4277327Z { 2022-11-23T01:30:36.4277469Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4277577Z 'code': None, 2022-11-23T01:30:36.4277777Z 'obj_weakref': 2022-11-23T01:30:36.4278030Z 'guarded_class': 2022-11-23T01:30:36.4278096Z } 2022-11-23T01:30:36.4278159Z 2022-11-23T01:30:36.4278227Z - 2022-11-23T01:30:36.4278363Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4278426Z { 2022-11-23T01:30:36.4278545Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4278713Z 'code': ['___check_obj_id(model, 140534429637152)'], 2022-11-23T01:30:36.4278832Z 'obj_weakref': None 2022-11-23T01:30:36.4279063Z 'guarded_class': 2022-11-23T01:30:36.4279127Z } 2022-11-23T01:30:36.4279189Z 2022-11-23T01:30:36.4279257Z - 2022-11-23T01:30:36.4279367Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4279430Z { 2022-11-23T01:30:36.4279565Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4279781Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4279898Z 'obj_weakref': None 2022-11-23T01:30:36.4280205Z 'guarded_class': 2022-11-23T01:30:36.4280272Z } 2022-11-23T01:30:36.4280323Z 2022-11-23T01:30:36.4280584Z [2022-11-23 01:28:28,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402 2022-11-23T01:30:36.4280590Z 2022-11-23T01:30:36.4280687Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4280757Z import torch 2022-11-23T01:30:36.4280827Z import random 2022-11-23T01:30:36.4280942Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4281066Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4281071Z 2022-11-23T01:30:36.4281149Z aten = torch.ops.aten 2022-11-23T01:30:36.4281272Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4281364Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4281368Z 2022-11-23T01:30:36.4281373Z 2022-11-23T01:30:36.4281507Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4281712Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4281834Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4281934Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4282029Z long* __restrict__ out_ptr1, 2022-11-23T01:30:36.4282125Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4282206Z long* __restrict__ out_ptr3, 2022-11-23T01:30:36.4282299Z float* __restrict__ out_ptr4, 2022-11-23T01:30:36.4282455Z bool* __restrict__ out_ptr5, 2022-11-23T01:30:36.4282548Z bool* __restrict__ out_ptr6, 2022-11-23T01:30:36.4282641Z long* __restrict__ out_ptr7, 2022-11-23T01:30:36.4282731Z long* __restrict__ out_ptr8, 2022-11-23T01:30:36.4282824Z float* __restrict__ out_ptr9, 2022-11-23T01:30:36.4282911Z float* __restrict__ out_ptr10) 2022-11-23T01:30:36.4283003Z { 2022-11-23T01:30:36.4283100Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4283161Z { 2022-11-23T01:30:36.4283238Z #pragma omp for 2022-11-23T01:30:36.4283320Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4283383Z { 2022-11-23T01:30:36.4283435Z { 2022-11-23T01:30:36.4283501Z { 2022-11-23T01:30:36.4283594Z auto tmp0 = in_ptr0[3*i0]; 2022-11-23T01:30:36.4283691Z auto tmp1 = in_ptr0[1 + (3*i0)]; 2022-11-23T01:30:36.4283785Z auto tmp3 = in_ptr0[2 + (3*i0)]; 2022-11-23T01:30:36.4283902Z auto tmp2 = std::min(tmp0, tmp1); 2022-11-23T01:30:36.4284002Z auto tmp4 = std::min(tmp2, tmp3); 2022-11-23T01:30:36.4284088Z auto tmp5 = static_cast(0); 2022-11-23T01:30:36.4284184Z auto tmp6 = static_cast(1); 2022-11-23T01:30:36.4284279Z auto tmp7 = tmp1 < tmp0; 2022-11-23T01:30:36.4284376Z auto tmp8 = tmp7 ? tmp6 : tmp5; 2022-11-23T01:30:36.4284474Z auto tmp9 = static_cast(2); 2022-11-23T01:30:36.4284566Z auto tmp10 = tmp3 < tmp2; 2022-11-23T01:30:36.4284661Z auto tmp11 = tmp10 ? tmp9 : tmp8; 2022-11-23T01:30:36.4284955Z auto tmp12 = std::max(tmp0, tmp1); 2022-11-23T01:30:36.4285062Z auto tmp13 = std::max(tmp12, tmp3); 2022-11-23T01:30:36.4285156Z auto tmp14 = tmp1 > tmp0; 2022-11-23T01:30:36.4285252Z auto tmp15 = tmp14 ? tmp6 : tmp5; 2022-11-23T01:30:36.4285342Z auto tmp16 = tmp3 > tmp12; 2022-11-23T01:30:36.4285440Z auto tmp17 = tmp16 ? tmp9 : tmp15; 2022-11-23T01:30:36.4285530Z auto tmp18 = tmp0 + tmp1; 2022-11-23T01:30:36.4285607Z auto tmp19 = tmp18 + tmp3; 2022-11-23T01:30:36.4285713Z auto tmp20 = static_cast(1); 2022-11-23T01:30:36.4285802Z auto tmp21 = tmp0 > tmp20; 2022-11-23T01:30:36.4285908Z auto tmp22 = static_cast(tmp21); 2022-11-23T01:30:36.4286014Z auto tmp23 = static_cast(tmp22); 2022-11-23T01:30:36.4286104Z auto tmp24 = tmp1 > tmp20; 2022-11-23T01:30:36.4286209Z auto tmp25 = static_cast(tmp24); 2022-11-23T01:30:36.4286314Z auto tmp26 = static_cast(tmp25); 2022-11-23T01:30:36.4286397Z auto tmp27 = tmp23 || tmp26; 2022-11-23T01:30:36.4286488Z auto tmp28 = tmp3 > tmp20; 2022-11-23T01:30:36.4286591Z auto tmp29 = static_cast(tmp28); 2022-11-23T01:30:36.4286694Z auto tmp30 = static_cast(tmp29); 2022-11-23T01:30:36.4286788Z auto tmp31 = tmp27 || tmp30; 2022-11-23T01:30:36.4286891Z auto tmp32 = static_cast(0); 2022-11-23T01:30:36.4286984Z auto tmp33 = tmp0 > tmp32; 2022-11-23T01:30:36.4287061Z auto tmp34 = tmp33 == 0; 2022-11-23T01:30:36.4287162Z auto tmp35 = static_cast(tmp34); 2022-11-23T01:30:36.4287263Z auto tmp36 = static_cast(tmp35); 2022-11-23T01:30:36.4287353Z auto tmp37 = tmp1 > tmp32; 2022-11-23T01:30:36.4287442Z auto tmp38 = tmp37 == 0; 2022-11-23T01:30:36.4287592Z auto tmp39 = static_cast(tmp38); 2022-11-23T01:30:36.4287694Z auto tmp40 = static_cast(tmp39); 2022-11-23T01:30:36.4287774Z auto tmp41 = tmp36 || tmp40; 2022-11-23T01:30:36.4287862Z auto tmp42 = tmp3 > tmp32; 2022-11-23T01:30:36.4287950Z auto tmp43 = tmp42 == 0; 2022-11-23T01:30:36.4288053Z auto tmp44 = static_cast(tmp43); 2022-11-23T01:30:36.4288200Z auto tmp45 = static_cast(tmp44); 2022-11-23T01:30:36.4288293Z auto tmp46 = tmp41 || tmp45; 2022-11-23T01:30:36.4288383Z auto tmp47 = tmp46 == 0; 2022-11-23T01:30:36.4288467Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.4288540Z out_ptr1[i0] = tmp11; 2022-11-23T01:30:36.4288622Z out_ptr2[i0] = tmp13; 2022-11-23T01:30:36.4288705Z out_ptr3[i0] = tmp17; 2022-11-23T01:30:36.4288789Z out_ptr4[i0] = tmp19; 2022-11-23T01:30:36.4288869Z out_ptr5[i0] = tmp31; 2022-11-23T01:30:36.4288950Z out_ptr6[i0] = tmp47; 2022-11-23T01:30:36.4289031Z out_ptr7[i0] = tmp11; 2022-11-23T01:30:36.4289099Z out_ptr8[i0] = tmp17; 2022-11-23T01:30:36.4289180Z out_ptr9[i0] = tmp4; 2022-11-23T01:30:36.4289264Z out_ptr10[i0] = tmp13; 2022-11-23T01:30:36.4289331Z } 2022-11-23T01:30:36.4289394Z } 2022-11-23T01:30:36.4289456Z } 2022-11-23T01:30:36.4289505Z } 2022-11-23T01:30:36.4289563Z } 2022-11-23T01:30:36.4289649Z ''') 2022-11-23T01:30:36.4289654Z 2022-11-23T01:30:36.4289658Z 2022-11-23T01:30:36.4289748Z async_compile.wait(globals()) 2022-11-23T01:30:36.4289819Z del async_compile 2022-11-23T01:30:36.4289824Z 2022-11-23T01:30:36.4289893Z def call(args): 2022-11-23T01:30:36.4289960Z arg0_1, = args 2022-11-23T01:30:36.4290031Z args.clear() 2022-11-23T01:30:36.4290214Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4290404Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4290594Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4290780Z buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4290961Z buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4291145Z buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.4291322Z buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.4291501Z buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4291669Z buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4291853Z buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4292041Z buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4292416Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr())) 2022-11-23T01:30:36.4292490Z del arg0_1 2022-11-23T01:30:36.4292617Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, ) 2022-11-23T01:30:36.4292622Z 2022-11-23T01:30:36.4292626Z 2022-11-23T01:30:36.4292701Z if __name__ == "__main__": 2022-11-23T01:30:36.4292814Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4292936Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4293117Z arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4293252Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4293257Z 2022-11-23T01:30:36.4293626Z [2022-11-23 01:28:29,665] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cr/ccr4dw7rsdfbivelby7llainuq7gisadqdx3wb52ynue56px7xrm.py 2022-11-23T01:30:36.4293894Z [2022-11-23 01:28:29,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402 2022-11-23T01:30:36.4293899Z 2022-11-23T01:30:36.4294019Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4294088Z import torch 2022-11-23T01:30:36.4294157Z import random 2022-11-23T01:30:36.4294272Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4294379Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4294384Z 2022-11-23T01:30:36.4294463Z aten = torch.ops.aten 2022-11-23T01:30:36.4294597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4294688Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4294693Z 2022-11-23T01:30:36.4294697Z 2022-11-23T01:30:36.4294831Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4295035Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4295148Z extern "C" void kernel(bool* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.4295251Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4295336Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4295434Z long* __restrict__ out_ptr1, 2022-11-23T01:30:36.4295528Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4295623Z long* __restrict__ out_ptr3, 2022-11-23T01:30:36.4295716Z float* __restrict__ out_ptr4, 2022-11-23T01:30:36.4295808Z bool* __restrict__ out_ptr5, 2022-11-23T01:30:36.4295898Z long* __restrict__ out_ptr7, 2022-11-23T01:30:36.4295987Z long* __restrict__ out_ptr8, 2022-11-23T01:30:36.4296072Z float* __restrict__ out_ptr9, 2022-11-23T01:30:36.4296170Z float* __restrict__ out_ptr10) 2022-11-23T01:30:36.4296232Z { 2022-11-23T01:30:36.4296316Z auto out_ptr6 = in_out_ptr0; 2022-11-23T01:30:36.4296411Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4296471Z { 2022-11-23T01:30:36.4296535Z #pragma omp for 2022-11-23T01:30:36.4296617Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4296682Z { 2022-11-23T01:30:36.4296745Z { 2022-11-23T01:30:36.4296809Z { 2022-11-23T01:30:36.4296937Z float tmp1 = std::numeric_limits::infinity(); 2022-11-23T01:30:36.4297057Z struct IndexValue_11 {size_t index; float value;}; 2022-11-23T01:30:36.4297196Z IndexValue_11 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:36.4297321Z #pragma omp declare reduction(argmin : struct IndexValue_11 :\ 2022-11-23T01:30:36.4297474Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.4297625Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.4297769Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:36.4298004Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.4298129Z struct IndexValue_12 {size_t index; float value;}; 2022-11-23T01:30:36.4298361Z IndexValue_12 tmp4{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:36.4298501Z #pragma omp declare reduction(argmax : struct IndexValue_12 :\ 2022-11-23T01:30:36.4298635Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.4298806Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.4299050Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:36.4299130Z float tmp5 = 0; 2022-11-23T01:30:36.4299208Z bool tmp10 = 0; 2022-11-23T01:30:36.4299285Z bool tmp16 = 0; 2022-11-23T01:30:36.4299405Z struct IndexValue_13 {size_t index; float value;}; 2022-11-23T01:30:36.4299570Z IndexValue_13 tmp17{0, std::numeric_limits::infinity()}; 2022-11-23T01:30:36.4299698Z #pragma omp declare reduction(argmin : struct IndexValue_13 :\ 2022-11-23T01:30:36.4299845Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.4299987Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.4300131Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:30:36.4300252Z struct IndexValue_14 {size_t index; float value;}; 2022-11-23T01:30:36.4300482Z IndexValue_14 tmp18{0, -std::numeric_limits::infinity()}; 2022-11-23T01:30:36.4300622Z #pragma omp declare reduction(argmax : struct IndexValue_14 :\ 2022-11-23T01:30:36.4300767Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:30:36.4300911Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:30:36.4301137Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:30:36.4301263Z float tmp19 = std::numeric_limits::infinity(); 2022-11-23T01:30:36.4301472Z float tmp20 = -std::numeric_limits::infinity(); 2022-11-23T01:30:36.4301566Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.4301633Z { 2022-11-23T01:30:36.4301702Z { 2022-11-23T01:30:36.4301804Z auto tmp0 = in_ptr0[i1 + (3*i0)]; 2022-11-23T01:30:36.4301912Z auto tmp6 = static_cast(1); 2022-11-23T01:30:36.4301995Z auto tmp7 = tmp0 > tmp6; 2022-11-23T01:30:36.4302106Z auto tmp8 = static_cast(tmp7); 2022-11-23T01:30:36.4302214Z auto tmp9 = static_cast(tmp8); 2022-11-23T01:30:36.4302320Z auto tmp11 = static_cast(0); 2022-11-23T01:30:36.4302417Z auto tmp12 = tmp0 > tmp11; 2022-11-23T01:30:36.4302510Z auto tmp13 = tmp12 == 0; 2022-11-23T01:30:36.4302619Z auto tmp14 = static_cast(tmp13); 2022-11-23T01:30:36.4302723Z auto tmp15 = static_cast(tmp14); 2022-11-23T01:30:36.4302815Z tmp1 = std::min(tmp1, tmp0); 2022-11-23T01:30:36.4302909Z if (tmp2.value > tmp0) { 2022-11-23T01:30:36.4303017Z tmp2.index = i1; tmp2.value = tmp0; 2022-11-23T01:30:36.4303086Z } 2022-11-23T01:30:36.4303188Z tmp3 = std::max(tmp3, tmp0); 2022-11-23T01:30:36.4303280Z if (tmp4.value < tmp0) { 2022-11-23T01:30:36.4303390Z tmp4.index = i1; tmp4.value = tmp0; 2022-11-23T01:30:36.4303447Z } 2022-11-23T01:30:36.4303531Z tmp5 += tmp0; 2022-11-23T01:30:36.4303622Z tmp10 = tmp10 || tmp9; 2022-11-23T01:30:36.4303712Z tmp16 = tmp16 || tmp15; 2022-11-23T01:30:36.4303805Z if (tmp17.value > tmp0) { 2022-11-23T01:30:36.4303945Z tmp17.index = i1; tmp17.value = tmp0; 2022-11-23T01:30:36.4304015Z } 2022-11-23T01:30:36.4304096Z if (tmp18.value < tmp0) { 2022-11-23T01:30:36.4304206Z tmp18.index = i1; tmp18.value = tmp0; 2022-11-23T01:30:36.4304274Z } 2022-11-23T01:30:36.4304378Z tmp19 = std::min(tmp19, tmp0); 2022-11-23T01:30:36.4304514Z tmp20 = std::max(tmp20, tmp0); 2022-11-23T01:30:36.4304582Z } 2022-11-23T01:30:36.4304648Z } 2022-11-23T01:30:36.4304732Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.4304812Z out_ptr1[i0] = tmp2.index; 2022-11-23T01:30:36.4304894Z out_ptr2[i0] = tmp3; 2022-11-23T01:30:36.4304984Z out_ptr3[i0] = tmp4.index; 2022-11-23T01:30:36.4305065Z out_ptr4[i0] = tmp5; 2022-11-23T01:30:36.4305151Z out_ptr5[i0] = tmp10; 2022-11-23T01:30:36.4305234Z out_ptr6[i0] = tmp16; 2022-11-23T01:30:36.4305326Z out_ptr7[i0] = tmp17.index; 2022-11-23T01:30:36.4305404Z out_ptr8[i0] = tmp18.index; 2022-11-23T01:30:36.4305485Z out_ptr9[i0] = tmp19; 2022-11-23T01:30:36.4305569Z out_ptr10[i0] = tmp20; 2022-11-23T01:30:36.4305634Z } 2022-11-23T01:30:36.4305700Z } 2022-11-23T01:30:36.4305762Z } 2022-11-23T01:30:36.4305839Z #pragma omp for 2022-11-23T01:30:36.4305908Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4305968Z { 2022-11-23T01:30:36.4306032Z { 2022-11-23T01:30:36.4306097Z { 2022-11-23T01:30:36.4306187Z auto tmp0 = out_ptr6[i0]; 2022-11-23T01:30:36.4306275Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:36.4306349Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.4306415Z } 2022-11-23T01:30:36.4306478Z } 2022-11-23T01:30:36.4306542Z } 2022-11-23T01:30:36.4306604Z } 2022-11-23T01:30:36.4306664Z } 2022-11-23T01:30:36.4306741Z ''') 2022-11-23T01:30:36.4306745Z 2022-11-23T01:30:36.4306749Z 2022-11-23T01:30:36.4306826Z async_compile.wait(globals()) 2022-11-23T01:30:36.4306899Z del async_compile 2022-11-23T01:30:36.4306903Z 2022-11-23T01:30:36.4306972Z def call(args): 2022-11-23T01:30:36.4307042Z arg0_1, = args 2022-11-23T01:30:36.4307111Z args.clear() 2022-11-23T01:30:36.4307301Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4307486Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4307672Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4307844Z buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4308030Z buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4308210Z buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.4308388Z buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.4308568Z buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4308746Z buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.4308934Z buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4309109Z buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4309195Z buf11 = buf6; del buf6 # reuse 2022-11-23T01:30:36.4309597Z kernel_cpp_0(c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr())) 2022-11-23T01:30:36.4309667Z del arg0_1 2022-11-23T01:30:36.4309800Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, ) 2022-11-23T01:30:36.4309805Z 2022-11-23T01:30:36.4309809Z 2022-11-23T01:30:36.4309887Z if __name__ == "__main__": 2022-11-23T01:30:36.4310002Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4310124Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4310348Z arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4310442Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4310460Z 2022-11-23T01:30:36.4310515Z ok (3.048s) 2022-11-23T01:30:36.4310651Z test_unspec_inputs_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:30:36.4310960Z test_unsqueeze_cpu (__main__.CpuTests) ... [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4311278Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4311495Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4311749Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4312029Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4312349Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4312699Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4313050Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4313561Z [2022-11-23 01:28:29,672] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4313661Z 1295 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4313764Z 2 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:30:36.4313855Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4313946Z 6 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4314020Z 8 BINARY_ADD 2022-11-23T01:30:36.4314158Z 10 LOAD_CONST 2 (-1) 2022-11-23T01:30:36.4314233Z 12 CALL_METHOD 2 2022-11-23T01:30:36.4314322Z 14 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4314394Z 16 BINARY_ADD 2022-11-23T01:30:36.4314401Z 2022-11-23T01:30:36.4314495Z 1296 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4314594Z 20 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:30:36.4314684Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4314769Z 24 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4314857Z 26 CALL_METHOD 2 2022-11-23T01:30:36.4314930Z 28 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4315005Z 30 BINARY_ADD 2022-11-23T01:30:36.4315009Z 2022-11-23T01:30:36.4315101Z 1297 32 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4315200Z 34 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:30:36.4315288Z 36 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4315374Z 38 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4315446Z 40 BINARY_ADD 2022-11-23T01:30:36.4315519Z 42 LOAD_CONST 4 (0) 2022-11-23T01:30:36.4315665Z 44 CALL_METHOD 2 2022-11-23T01:30:36.4315754Z 46 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4315826Z 48 BINARY_ADD 2022-11-23T01:30:36.4315831Z 2022-11-23T01:30:36.4315923Z 1298 50 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4316023Z 52 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:30:36.4316109Z 54 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4316261Z 56 LOAD_CONST 5 (-2) 2022-11-23T01:30:36.4316349Z 58 CALL_METHOD 2 2022-11-23T01:30:36.4316435Z 60 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4316506Z 62 BINARY_ADD 2022-11-23T01:30:36.4316511Z 2022-11-23T01:30:36.4316602Z 1294 64 BUILD_TUPLE 4 2022-11-23T01:30:36.4316678Z 66 RETURN_VALUE 2022-11-23T01:30:36.4316739Z 2022-11-23T01:30:36.4316744Z 2022-11-23T01:30:36.4317061Z [2022-11-23 01:28:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1295 2022-11-23T01:30:36.4317268Z [2022-11-23 01:28:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.4317641Z [2022-11-23 01:28:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable()] 2022-11-23T01:30:36.4317972Z [2022-11-23 01:28:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:30:36.4318332Z [2022-11-23 01:28:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4318733Z [2022-11-23 01:28:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4319090Z [2022-11-23 01:28:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4319486Z [2022-11-23 01:28:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4319727Z [2022-11-23 01:28:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.4320089Z [2022-11-23 01:28:29,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4320409Z [2022-11-23 01:28:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1296 2022-11-23T01:30:36.4320657Z [2022-11-23 01:28:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.4321056Z [2022-11-23 01:28:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4321398Z [2022-11-23 01:28:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4321790Z [2022-11-23 01:28:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4322254Z [2022-11-23 01:28:29,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4322523Z [2022-11-23 01:28:29,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4322829Z [2022-11-23 01:28:29,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4323141Z [2022-11-23 01:28:29,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1297 2022-11-23T01:30:36.4323448Z [2022-11-23 01:28:29,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4323881Z [2022-11-23 01:28:29,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4324264Z [2022-11-23 01:28:29,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4324677Z [2022-11-23 01:28:29,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4325240Z [2022-11-23 01:28:29,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4325655Z [2022-11-23 01:28:29,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4326112Z [2022-11-23 01:28:29,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4326405Z [2022-11-23 01:28:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4326738Z [2022-11-23 01:28:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4327043Z [2022-11-23 01:28:29,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1298 2022-11-23T01:30:36.4327345Z [2022-11-23 01:28:29,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4327811Z [2022-11-23 01:28:29,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4328221Z [2022-11-23 01:28:29,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4328661Z [2022-11-23 01:28:29,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4329149Z [2022-11-23 01:28:29,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4329518Z [2022-11-23 01:28:29,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4329889Z [2022-11-23 01:28:29,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4330200Z [2022-11-23 01:28:29,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1294 2022-11-23T01:30:36.4330579Z [2022-11-23 01:28:29,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4330825Z [2022-11-23 01:28:29,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4331206Z [2022-11-23 01:28:29,683] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4331450Z [2022-11-23 01:28:29,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4331670Z [2022-11-23 01:28:29,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4331923Z [2022-11-23 01:28:29,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4332173Z [2022-11-23 01:28:29,691] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4332362Z [2022-11-23 01:28:29,691] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4332496Z __compiled_fn_411 .3280 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4332586Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4332758Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.4333005Z call_function, unsqueeze, , (add, -1), {} 2022-11-23T01:30:36.4333174Z call_function, add_1, , (unsqueeze, 2), {} 2022-11-23T01:30:36.4333422Z call_function, unsqueeze_1, , (ex_0_, 2), {} 2022-11-23T01:30:36.4333607Z call_function, add_2, , (unsqueeze_1, 2), {} 2022-11-23T01:30:36.4333776Z call_function, add_3, , (ex_0_, 1), {} 2022-11-23T01:30:36.4334027Z call_function, unsqueeze_2, , (add_3, 0), {} 2022-11-23T01:30:36.4334209Z call_function, add_4, , (unsqueeze_2, 2), {} 2022-11-23T01:30:36.4334455Z call_function, unsqueeze_3, , (ex_0_, -2), {} 2022-11-23T01:30:36.4334637Z call_function, add_5, , (unsqueeze_3, 2), {} 2022-11-23T01:30:36.4334740Z output, output, output, ((add_1, add_2, add_4, add_5),), {} 2022-11-23T01:30:36.4334761Z 2022-11-23T01:30:36.4335075Z [2022-11-23 01:28:29,692] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4335167Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4335257Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4335342Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4335436Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4335520Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4335607Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4335670Z 12 RETURN_VALUE 2022-11-23T01:30:36.4335688Z 2022-11-23T01:30:36.4335737Z 2022-11-23T01:30:36.4336057Z [2022-11-23 01:28:29,692] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4336192Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_411) 2022-11-23T01:30:36.4336282Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4336370Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4336445Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4336532Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4336622Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4336724Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4336840Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4336914Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4337014Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4337101Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4337174Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4337260Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4337347Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4337423Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4337522Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4337610Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4337684Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4337770Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.4337831Z 38 RETURN_VALUE 2022-11-23T01:30:36.4337848Z 2022-11-23T01:30:36.4337899Z 2022-11-23T01:30:36.4338081Z [2022-11-23 01:28:29,693] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4338152Z - 2022-11-23T01:30:36.4338270Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4338333Z { 2022-11-23T01:30:36.4338471Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4338643Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4338761Z 'obj_weakref': None 2022-11-23T01:30:36.4338987Z 'guarded_class': 2022-11-23T01:30:36.4339050Z } 2022-11-23T01:30:36.4339112Z 2022-11-23T01:30:36.4339180Z - 2022-11-23T01:30:36.4339303Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4339353Z { 2022-11-23T01:30:36.4339494Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4339600Z 'code': None, 2022-11-23T01:30:36.4339813Z 'obj_weakref': 2022-11-23T01:30:36.4340064Z 'guarded_class': 2022-11-23T01:30:36.4340127Z } 2022-11-23T01:30:36.4340190Z 2022-11-23T01:30:36.4340244Z - 2022-11-23T01:30:36.4340373Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4340436Z { 2022-11-23T01:30:36.4340567Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4340736Z 'code': ['___check_obj_id(model, 140534429630816)'], 2022-11-23T01:30:36.4340853Z 'obj_weakref': None 2022-11-23T01:30:36.4341083Z 'guarded_class': 2022-11-23T01:30:36.4341133Z } 2022-11-23T01:30:36.4341194Z 2022-11-23T01:30:36.4341261Z - 2022-11-23T01:30:36.4341381Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4341446Z { 2022-11-23T01:30:36.4341581Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4341796Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4341900Z 'obj_weakref': None 2022-11-23T01:30:36.4342118Z 'guarded_class': 2022-11-23T01:30:36.4342182Z } 2022-11-23T01:30:36.4342244Z 2022-11-23T01:30:36.4342311Z - 2022-11-23T01:30:36.4342471Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4342536Z { 2022-11-23T01:30:36.4342642Z 'guard_types': None, 2022-11-23T01:30:36.4342749Z 'code': None, 2022-11-23T01:30:36.4342865Z 'obj_weakref': None 2022-11-23T01:30:36.4342985Z 'guarded_class': None 2022-11-23T01:30:36.4343049Z } 2022-11-23T01:30:36.4343111Z 2022-11-23T01:30:36.4343403Z [2022-11-23 01:28:29,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403 2022-11-23T01:30:36.4343758Z [2022-11-23 01:28:31,152] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yv/cyvaj4j5az2cnb5iwhgyctqz5geaibsbb2kadptnewwqg2giabyy.py 2022-11-23T01:30:36.4344018Z [2022-11-23 01:28:31,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403 2022-11-23T01:30:36.4344023Z 2022-11-23T01:30:36.4344115Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4344185Z import torch 2022-11-23T01:30:36.4344255Z import random 2022-11-23T01:30:36.4344368Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4344487Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4344492Z 2022-11-23T01:30:36.4344568Z aten = torch.ops.aten 2022-11-23T01:30:36.4344688Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4344780Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4344787Z 2022-11-23T01:30:36.4344791Z 2022-11-23T01:30:36.4344924Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4345127Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4345246Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4345345Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4345439Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.4345533Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4345613Z float* __restrict__ out_ptr3) 2022-11-23T01:30:36.4345674Z { 2022-11-23T01:30:36.4345771Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4345833Z { 2022-11-23T01:30:36.4345908Z #pragma omp for 2022-11-23T01:30:36.4345988Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.4346050Z { 2022-11-23T01:30:36.4346179Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4346315Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.4346399Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4346528Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.4346612Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4346693Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.4346783Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4346874Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.4346951Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.4347037Z tmp5.store(out_ptr3 + 8*i0); 2022-11-23T01:30:36.4347100Z } 2022-11-23T01:30:36.4347191Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4347273Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.4347335Z { 2022-11-23T01:30:36.4347405Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4347505Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.4347589Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4347687Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.4347770Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4347851Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:30:36.4347929Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.4347993Z out_ptr1[i0] = tmp5; 2022-11-23T01:30:36.4348071Z out_ptr2[i0] = tmp4; 2022-11-23T01:30:36.4348174Z out_ptr3[i0] = tmp5; 2022-11-23T01:30:36.4348238Z } 2022-11-23T01:30:36.4348305Z } 2022-11-23T01:30:36.4348365Z } 2022-11-23T01:30:36.4348442Z ''') 2022-11-23T01:30:36.4348446Z 2022-11-23T01:30:36.4348451Z 2022-11-23T01:30:36.4348527Z async_compile.wait(globals()) 2022-11-23T01:30:36.4348598Z del async_compile 2022-11-23T01:30:36.4348602Z 2022-11-23T01:30:36.4348672Z def call(args): 2022-11-23T01:30:36.4348741Z arg0_1, = args 2022-11-23T01:30:36.4348838Z args.clear() 2022-11-23T01:30:36.4349054Z buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4349268Z buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4349478Z buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4349676Z buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4349889Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.4349957Z del arg0_1 2022-11-23T01:30:36.4350044Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:30:36.4350048Z 2022-11-23T01:30:36.4350053Z 2022-11-23T01:30:36.4350128Z if __name__ == "__main__": 2022-11-23T01:30:36.4350240Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4350364Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4350570Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4350665Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4350681Z 2022-11-23T01:30:36.4350736Z ok (1.486s) 2022-11-23T01:30:36.4351057Z test_unsqueeze_inplace_cpu (__main__.CpuTests) ... [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4351376Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4351595Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4351847Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4352123Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4352444Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4352790Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4353114Z [2022-11-23 01:28:31,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4353478Z [2022-11-23 01:28:31,160] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4353570Z 1315 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4353661Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4353736Z 4 BINARY_ADD 2022-11-23T01:30:36.4353829Z 6 STORE_FAST 1 (tmp1) 2022-11-23T01:30:36.4353834Z 2022-11-23T01:30:36.4353925Z 1316 8 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4354024Z 10 LOAD_METHOD 1 (unsqueeze_) 2022-11-23T01:30:36.4354115Z 12 LOAD_FAST 1 (tmp1) 2022-11-23T01:30:36.4354191Z 14 LOAD_CONST 2 (2) 2022-11-23T01:30:36.4354306Z 16 CALL_METHOD 2 2022-11-23T01:30:36.4354380Z 18 POP_TOP 2022-11-23T01:30:36.4354385Z 2022-11-23T01:30:36.4354477Z 1317 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4354575Z 22 LOAD_METHOD 1 (unsqueeze_) 2022-11-23T01:30:36.4354663Z 24 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4354748Z 26 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4354850Z 28 BINARY_ADD 2022-11-23T01:30:36.4354924Z 30 LOAD_CONST 3 (0) 2022-11-23T01:30:36.4355010Z 32 CALL_METHOD 2 2022-11-23T01:30:36.4355096Z 34 LOAD_CONST 2 (2) 2022-11-23T01:30:36.4355168Z 36 BINARY_ADD 2022-11-23T01:30:36.4355260Z 38 STORE_FAST 2 (tmp2) 2022-11-23T01:30:36.4355265Z 2022-11-23T01:30:36.4355353Z 1318 40 LOAD_FAST 1 (tmp1) 2022-11-23T01:30:36.4355442Z 42 LOAD_FAST 2 (tmp2) 2022-11-23T01:30:36.4355517Z 44 BUILD_TUPLE 2 2022-11-23T01:30:36.4355593Z 46 RETURN_VALUE 2022-11-23T01:30:36.4355653Z 2022-11-23T01:30:36.4355658Z 2022-11-23T01:30:36.4355976Z [2022-11-23 01:28:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1315 2022-11-23T01:30:36.4356188Z [2022-11-23 01:28:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.4356431Z [2022-11-23 01:28:31,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.4356713Z [2022-11-23 01:28:31,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4356954Z [2022-11-23 01:28:31,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()] 2022-11-23T01:30:36.4357264Z [2022-11-23 01:28:31,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1316 2022-11-23T01:30:36.4357470Z [2022-11-23 01:28:31,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4357785Z [2022-11-23 01:28:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable()] 2022-11-23T01:30:36.4358050Z [2022-11-23 01:28:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)] 2022-11-23T01:30:36.4358343Z [2022-11-23 01:28:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()] 2022-11-23T01:30:36.4358672Z [2022-11-23 01:28:31,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4358913Z [2022-11-23 01:28:31,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:30:36.4359226Z [2022-11-23 01:28:31,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1317 2022-11-23T01:30:36.4359442Z [2022-11-23 01:28:31,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4359753Z [2022-11-23 01:28:31,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable()] 2022-11-23T01:30:36.4360098Z [2022-11-23 01:28:31,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)] 2022-11-23T01:30:36.4360379Z [2022-11-23 01:28:31,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()] 2022-11-23T01:30:36.4360712Z [2022-11-23 01:28:31,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4361024Z [2022-11-23 01:28:31,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()] 2022-11-23T01:30:36.4361351Z [2022-11-23 01:28:31,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4361587Z [2022-11-23 01:28:31,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.4361897Z [2022-11-23 01:28:31,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4362140Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()] 2022-11-23T01:30:36.4362449Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1318 2022-11-23T01:30:36.4362667Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [] 2022-11-23T01:30:36.4362906Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()] 2022-11-23T01:30:36.4363163Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4363407Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4363793Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4364039Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4364272Z [2022-11-23 01:28:31,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4364525Z [2022-11-23 01:28:31,184] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4364894Z [2022-11-23 01:28:31,188] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4365087Z [2022-11-23 01:28:31,188] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4365221Z __compiled_fn_412 .3286 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4365299Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4365473Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.4365594Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {} 2022-11-23T01:30:36.4365788Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:30:36.4365967Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {} 2022-11-23T01:30:36.4366156Z call_function, add_2, , (unsqueeze__1, 2), {} 2022-11-23T01:30:36.4366258Z output, output, output, ((add, add_2),), {} 2022-11-23T01:30:36.4366266Z 2022-11-23T01:30:36.4366594Z [2022-11-23 01:28:31,189] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4366675Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4366767Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4366854Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4366949Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4367035Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4367123Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4367199Z 12 RETURN_VALUE 2022-11-23T01:30:36.4367205Z 2022-11-23T01:30:36.4367263Z 2022-11-23T01:30:36.4367571Z [2022-11-23 01:28:31,189] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4367735Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_412) 2022-11-23T01:30:36.4367828Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4367917Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4367994Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4368083Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4368185Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4368273Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4368397Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4368474Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4368573Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4368661Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4368735Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4368822Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.4368883Z 26 RETURN_VALUE 2022-11-23T01:30:36.4368902Z 2022-11-23T01:30:36.4368950Z 2022-11-23T01:30:36.4369135Z [2022-11-23 01:28:31,190] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4369206Z - 2022-11-23T01:30:36.4369324Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4369388Z { 2022-11-23T01:30:36.4369529Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4369702Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4369823Z 'obj_weakref': None 2022-11-23T01:30:36.4370049Z 'guarded_class': 2022-11-23T01:30:36.4370114Z } 2022-11-23T01:30:36.4370177Z 2022-11-23T01:30:36.4370246Z - 2022-11-23T01:30:36.4370368Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4370418Z { 2022-11-23T01:30:36.4370560Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4370665Z 'code': None, 2022-11-23T01:30:36.4370879Z 'obj_weakref': 2022-11-23T01:30:36.4371131Z 'guarded_class': 2022-11-23T01:30:36.4371194Z } 2022-11-23T01:30:36.4371258Z 2022-11-23T01:30:36.4371313Z - 2022-11-23T01:30:36.4371442Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4371505Z { 2022-11-23T01:30:36.4371641Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4371810Z 'code': ['___check_obj_id(model, 140534433002928)'], 2022-11-23T01:30:36.4371926Z 'obj_weakref': None 2022-11-23T01:30:36.4372154Z 'guarded_class': 2022-11-23T01:30:36.4372216Z } 2022-11-23T01:30:36.4372266Z 2022-11-23T01:30:36.4372334Z - 2022-11-23T01:30:36.4372453Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4372518Z { 2022-11-23T01:30:36.4372650Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4372865Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4372970Z 'obj_weakref': None 2022-11-23T01:30:36.4373191Z 'guarded_class': 2022-11-23T01:30:36.4373257Z } 2022-11-23T01:30:36.4373319Z 2022-11-23T01:30:36.4373386Z - 2022-11-23T01:30:36.4373515Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4373577Z { 2022-11-23T01:30:36.4373683Z 'guard_types': None, 2022-11-23T01:30:36.4373788Z 'code': None, 2022-11-23T01:30:36.4373903Z 'obj_weakref': None 2022-11-23T01:30:36.4374022Z 'guarded_class': None 2022-11-23T01:30:36.4374085Z } 2022-11-23T01:30:36.4374146Z 2022-11-23T01:30:36.4374440Z [2022-11-23 01:28:31,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404 2022-11-23T01:30:36.4374800Z [2022-11-23 01:28:32,633] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwtzvxcjgxgd6ivsfk7ujrwn37wpcuhnutcxkl4hsmfopklvktid.py 2022-11-23T01:30:36.4375062Z [2022-11-23 01:28:32,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404 2022-11-23T01:30:36.4375135Z 2022-11-23T01:30:36.4375228Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4375297Z import torch 2022-11-23T01:30:36.4375366Z import random 2022-11-23T01:30:36.4375479Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4375598Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4375603Z 2022-11-23T01:30:36.4375682Z aten = torch.ops.aten 2022-11-23T01:30:36.4375802Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4375893Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4375901Z 2022-11-23T01:30:36.4375905Z 2022-11-23T01:30:36.4376037Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4376240Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4376359Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4376458Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4376554Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.4376617Z { 2022-11-23T01:30:36.4376702Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4376765Z { 2022-11-23T01:30:36.4376842Z #pragma omp for 2022-11-23T01:30:36.4376924Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.4376987Z { 2022-11-23T01:30:36.4377126Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4377259Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.4377334Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4377462Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.4377545Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4377636Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4377724Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.4377787Z } 2022-11-23T01:30:36.4377879Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4377951Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.4378013Z { 2022-11-23T01:30:36.4378095Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4378194Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.4378277Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4378373Z auto tmp3 = static_cast(2); 2022-11-23T01:30:36.4378455Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4378522Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.4378601Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.4378663Z } 2022-11-23T01:30:36.4378724Z } 2022-11-23T01:30:36.4378783Z } 2022-11-23T01:30:36.4378860Z ''') 2022-11-23T01:30:36.4378865Z 2022-11-23T01:30:36.4378869Z 2022-11-23T01:30:36.4378956Z async_compile.wait(globals()) 2022-11-23T01:30:36.4379016Z del async_compile 2022-11-23T01:30:36.4379032Z 2022-11-23T01:30:36.4379089Z def call(args): 2022-11-23T01:30:36.4379157Z arg0_1, = args 2022-11-23T01:30:36.4379229Z args.clear() 2022-11-23T01:30:36.4379439Z buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4379652Z buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4379814Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.4379881Z del arg0_1 2022-11-23T01:30:36.4379981Z return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, ) 2022-11-23T01:30:36.4380013Z 2022-11-23T01:30:36.4380030Z 2022-11-23T01:30:36.4380094Z if __name__ == "__main__": 2022-11-23T01:30:36.4380207Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4380329Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4380537Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4380642Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4380673Z 2022-11-23T01:30:36.4380740Z ok (1.481s) 2022-11-23T01:30:36.4381060Z test_upsample_bicubic2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:32,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4381374Z [2022-11-23 01:28:32,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4381579Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4381831Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4382108Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4382429Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4382779Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4383102Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4383477Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4383574Z 3076 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4383684Z 2 LOAD_METHOD 1 (upsample_bicubic2d) 2022-11-23T01:30:36.4383763Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4383857Z 6 LOAD_CONST 1 ((128, 128)) 2022-11-23T01:30:36.4383947Z 8 LOAD_CONST 2 (True) 2022-11-23T01:30:36.4384036Z 10 CALL_METHOD 3 2022-11-23T01:30:36.4384041Z 2022-11-23T01:30:36.4384132Z 3077 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4384243Z 14 LOAD_METHOD 1 (upsample_bicubic2d) 2022-11-23T01:30:36.4384334Z 16 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4384429Z 18 LOAD_CONST 3 ((128, 256)) 2022-11-23T01:30:36.4384508Z 20 LOAD_CONST 4 (False) 2022-11-23T01:30:36.4384598Z 22 CALL_METHOD 3 2022-11-23T01:30:36.4384603Z 2022-11-23T01:30:36.4384690Z 3075 24 BUILD_TUPLE 2 2022-11-23T01:30:36.4384767Z 26 RETURN_VALUE 2022-11-23T01:30:36.4384826Z 2022-11-23T01:30:36.4384830Z 2022-11-23T01:30:36.4385143Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3076 2022-11-23T01:30:36.4385361Z [2022-11-23 01:28:32,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4385688Z [2022-11-23 01:28:32,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable()] 2022-11-23T01:30:36.4385958Z [2022-11-23 01:28:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)] 2022-11-23T01:30:36.4386282Z [2022-11-23 01:28:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()] 2022-11-23T01:30:36.4386632Z [2022-11-23 01:28:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4387016Z [2022-11-23 01:28:32,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)] 2022-11-23T01:30:36.4387356Z [2022-11-23 01:28:32,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3077 2022-11-23T01:30:36.4387598Z [2022-11-23 01:28:32,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.4387951Z [2022-11-23 01:28:32,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4388251Z [2022-11-23 01:28:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)] 2022-11-23T01:30:36.4388588Z [2022-11-23 01:28:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()] 2022-11-23T01:30:36.4388964Z [2022-11-23 01:28:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4389379Z [2022-11-23 01:28:32,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)] 2022-11-23T01:30:36.4389689Z [2022-11-23 01:28:32,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3075 2022-11-23T01:30:36.4389958Z [2022-11-23 01:28:32,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4390191Z [2022-11-23 01:28:32,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4390570Z [2022-11-23 01:28:32,896] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4390815Z [2022-11-23 01:28:32,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4391048Z [2022-11-23 01:28:32,896] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4391302Z [2022-11-23 01:28:32,897] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4391549Z [2022-11-23 01:28:33,110] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4391738Z [2022-11-23 01:28:33,111] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4391871Z __compiled_fn_413 .3292 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4391960Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4392102Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {} 2022-11-23T01:30:36.4392257Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {} 2022-11-23T01:30:36.4392399Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {} 2022-11-23T01:30:36.4392404Z 2022-11-23T01:30:36.4392727Z [2022-11-23 01:28:33,111] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4392820Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4392910Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4393023Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4393117Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4393191Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4393280Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4393354Z 12 RETURN_VALUE 2022-11-23T01:30:36.4393359Z 2022-11-23T01:30:36.4393420Z 2022-11-23T01:30:36.4393743Z [2022-11-23 01:28:33,111] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4393880Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_413) 2022-11-23T01:30:36.4393969Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4394058Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4394122Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4394208Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4394314Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4394413Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4394501Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4394576Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4394674Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4394749Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4394824Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4394914Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.4394988Z 26 RETURN_VALUE 2022-11-23T01:30:36.4394993Z 2022-11-23T01:30:36.4395052Z 2022-11-23T01:30:36.4395233Z [2022-11-23 01:28:33,112] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4395301Z - 2022-11-23T01:30:36.4395407Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4395471Z { 2022-11-23T01:30:36.4395612Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4395798Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4395916Z 'obj_weakref': None 2022-11-23T01:30:36.4396140Z 'guarded_class': 2022-11-23T01:30:36.4396204Z } 2022-11-23T01:30:36.4396255Z 2022-11-23T01:30:36.4396324Z - 2022-11-23T01:30:36.4396447Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4396512Z { 2022-11-23T01:30:36.4396653Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4396759Z 'code': None, 2022-11-23T01:30:36.4396971Z 'obj_weakref': 2022-11-23T01:30:36.4397211Z 'guarded_class': 2022-11-23T01:30:36.4397276Z } 2022-11-23T01:30:36.4397339Z 2022-11-23T01:30:36.4397408Z - 2022-11-23T01:30:36.4397540Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4397604Z { 2022-11-23T01:30:36.4397735Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4397889Z 'code': ['___check_obj_id(model, 140533811206688)'], 2022-11-23T01:30:36.4398007Z 'obj_weakref': None 2022-11-23T01:30:36.4398236Z 'guarded_class': 2022-11-23T01:30:36.4398302Z } 2022-11-23T01:30:36.4398365Z 2022-11-23T01:30:36.4398432Z - 2022-11-23T01:30:36.4398551Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4398601Z { 2022-11-23T01:30:36.4398734Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4398949Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4399065Z 'obj_weakref': None 2022-11-23T01:30:36.4399313Z 'guarded_class': 2022-11-23T01:30:36.4399378Z } 2022-11-23T01:30:36.4399440Z 2022-11-23T01:30:36.4399496Z - 2022-11-23T01:30:36.4399628Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4399690Z { 2022-11-23T01:30:36.4399810Z 'guard_types': None, 2022-11-23T01:30:36.4399915Z 'code': None, 2022-11-23T01:30:36.4400143Z 'obj_weakref': None 2022-11-23T01:30:36.4400266Z 'guarded_class': None 2022-11-23T01:30:36.4400316Z } 2022-11-23T01:30:36.4400378Z 2022-11-23T01:30:36.4400639Z [2022-11-23 01:28:33,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405 2022-11-23T01:30:36.4400646Z 2022-11-23T01:30:36.4400740Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4400809Z import torch 2022-11-23T01:30:36.4400877Z import random 2022-11-23T01:30:36.4400996Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4401105Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4401110Z 2022-11-23T01:30:36.4401189Z aten = torch.ops.aten 2022-11-23T01:30:36.4401322Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4401416Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4401420Z 2022-11-23T01:30:36.4401425Z 2022-11-23T01:30:36.4401557Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4401766Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4401886Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4401985Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4402069Z float* __restrict__ out_ptr1) 2022-11-23T01:30:36.4402133Z { 2022-11-23T01:30:36.4402233Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4402294Z { 2022-11-23T01:30:36.4402371Z #pragma omp for 2022-11-23T01:30:36.4402457Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.4402520Z { 2022-11-23T01:30:36.4402587Z #pragma GCC ivdep 2022-11-23T01:30:36.4402672Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:36.4402735Z { 2022-11-23T01:30:36.4402819Z #pragma GCC ivdep 2022-11-23T01:30:36.4402910Z for(long i2=0; i2<128; i2+=1) 2022-11-23T01:30:36.4402975Z { 2022-11-23T01:30:36.4403045Z { 2022-11-23T01:30:36.4403102Z { 2022-11-23T01:30:36.4403209Z auto tmp0 = static_cast(i2); 2022-11-23T01:30:36.4403313Z auto tmp1 = 0.2440944881889764 * tmp0; 2022-11-23T01:30:36.4403426Z auto tmp2 = std::floor(tmp1); 2022-11-23T01:30:36.4403573Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:30:36.4403679Z auto tmp4 = static_cast(i1); 2022-11-23T01:30:36.4403782Z auto tmp5 = 0.49606299212598426 * tmp4; 2022-11-23T01:30:36.4403872Z auto tmp6 = std::floor(tmp5); 2022-11-23T01:30:36.4404015Z auto tmp7 = tmp5 - tmp6; 2022-11-23T01:30:36.4404121Z auto tmp8 = static_cast(tmp6); 2022-11-23T01:30:36.4404230Z auto tmp9 = static_cast(tmp2); 2022-11-23T01:30:36.4404376Z auto tmp10 = tmp8 + -1; 2022-11-23T01:30:36.4404468Z auto tmp11 = tmp8 + 0; 2022-11-23T01:30:36.4404558Z auto tmp12 = tmp8 + 1; 2022-11-23T01:30:36.4404646Z auto tmp13 = tmp8 + 2; 2022-11-23T01:30:36.4404893Z auto tmp14 = tmp9 + -1; 2022-11-23T01:30:36.4404984Z auto tmp15 = tmp9 + 0; 2022-11-23T01:30:36.4405070Z auto tmp16 = tmp9 + 1; 2022-11-23T01:30:36.4405206Z auto tmp17 = tmp9 + 2; 2022-11-23T01:30:36.4405318Z auto tmp18 = std::min(63, tmp10); 2022-11-23T01:30:36.4405424Z auto tmp19 = std::max(0, tmp18); 2022-11-23T01:30:36.4405528Z auto tmp20 = std::min(31, tmp14); 2022-11-23T01:30:36.4405617Z auto tmp21 = std::max(0, tmp20); 2022-11-23T01:30:36.4405791Z auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:30:36.4405895Z auto tmp23 = std::min(31, tmp15); 2022-11-23T01:30:36.4406000Z auto tmp24 = std::max(0, tmp23); 2022-11-23T01:30:36.4406118Z auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:30:36.4406224Z auto tmp26 = std::min(31, tmp16); 2022-11-23T01:30:36.4406327Z auto tmp27 = std::max(0, tmp26); 2022-11-23T01:30:36.4406445Z auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:30:36.4406548Z auto tmp29 = std::min(31, tmp17); 2022-11-23T01:30:36.4406638Z auto tmp30 = std::max(0, tmp29); 2022-11-23T01:30:36.4406753Z auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:30:36.4406850Z auto tmp32 = tmp3 + 1.0; 2022-11-23T01:30:36.4407001Z auto tmp33 = -0.75 * tmp32; 2022-11-23T01:30:36.4407150Z auto tmp34 = tmp33 - -3.75; 2022-11-23T01:30:36.4407244Z auto tmp35 = tmp34 * tmp32; 2022-11-23T01:30:36.4407389Z auto tmp36 = tmp35 + -6.0; 2022-11-23T01:30:36.4407471Z auto tmp37 = tmp36 * tmp32; 2022-11-23T01:30:36.4407616Z auto tmp38 = tmp37 - -3.0; 2022-11-23T01:30:36.4407713Z auto tmp39 = 1.25 * tmp3; 2022-11-23T01:30:36.4407858Z auto tmp40 = tmp39 - 2.25; 2022-11-23T01:30:36.4407954Z auto tmp41 = tmp40 * tmp3; 2022-11-23T01:30:36.4408048Z auto tmp42 = tmp41 * tmp3; 2022-11-23T01:30:36.4408142Z auto tmp43 = tmp42 + 1.0; 2022-11-23T01:30:36.4408284Z auto tmp44 = 1.0 - tmp3; 2022-11-23T01:30:36.4408366Z auto tmp45 = 1.25 * tmp44; 2022-11-23T01:30:36.4408508Z auto tmp46 = tmp45 - 2.25; 2022-11-23T01:30:36.4408605Z auto tmp47 = tmp46 * tmp44; 2022-11-23T01:30:36.4408701Z auto tmp48 = tmp47 * tmp44; 2022-11-23T01:30:36.4408795Z auto tmp49 = tmp48 + 1.0; 2022-11-23T01:30:36.4408886Z auto tmp50 = tmp44 + 1.0; 2022-11-23T01:30:36.4409028Z auto tmp51 = -0.75 * tmp50; 2022-11-23T01:30:36.4409160Z auto tmp52 = tmp51 - -3.75; 2022-11-23T01:30:36.4409254Z auto tmp53 = tmp52 * tmp50; 2022-11-23T01:30:36.4409398Z auto tmp54 = tmp53 + -6.0; 2022-11-23T01:30:36.4409490Z auto tmp55 = tmp54 * tmp50; 2022-11-23T01:30:36.4409632Z auto tmp56 = tmp55 - -3.0; 2022-11-23T01:30:36.4409725Z auto tmp57 = tmp22 * tmp38; 2022-11-23T01:30:36.4409818Z auto tmp58 = tmp25 * tmp43; 2022-11-23T01:30:36.4409896Z auto tmp59 = tmp28 * tmp49; 2022-11-23T01:30:36.4409989Z auto tmp60 = tmp31 * tmp56; 2022-11-23T01:30:36.4410080Z auto tmp61 = tmp59 + tmp60; 2022-11-23T01:30:36.4410175Z auto tmp62 = tmp58 + tmp61; 2022-11-23T01:30:36.4410292Z auto tmp63 = tmp57 + tmp62; 2022-11-23T01:30:36.4410400Z auto tmp64 = std::min(63, tmp11); 2022-11-23T01:30:36.4410504Z auto tmp65 = std::max(0, tmp64); 2022-11-23T01:30:36.4410616Z auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:30:36.4416441Z auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:30:36.4416584Z auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:30:36.4416766Z auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:30:36.4416855Z auto tmp70 = tmp66 * tmp38; 2022-11-23T01:30:36.4416939Z auto tmp71 = tmp67 * tmp43; 2022-11-23T01:30:36.4417024Z auto tmp72 = tmp68 * tmp49; 2022-11-23T01:30:36.4417107Z auto tmp73 = tmp69 * tmp56; 2022-11-23T01:30:36.4417199Z auto tmp74 = tmp72 + tmp73; 2022-11-23T01:30:36.4417290Z auto tmp75 = tmp71 + tmp74; 2022-11-23T01:30:36.4417383Z auto tmp76 = tmp70 + tmp75; 2022-11-23T01:30:36.4417500Z auto tmp77 = std::min(63, tmp12); 2022-11-23T01:30:36.4417607Z auto tmp78 = std::max(0, tmp77); 2022-11-23T01:30:36.4417710Z auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:30:36.4417829Z auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:30:36.4417944Z auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:30:36.4418059Z auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:30:36.4418155Z auto tmp83 = tmp79 * tmp38; 2022-11-23T01:30:36.4418250Z auto tmp84 = tmp80 * tmp43; 2022-11-23T01:30:36.4418347Z auto tmp85 = tmp81 * tmp49; 2022-11-23T01:30:36.4418429Z auto tmp86 = tmp82 * tmp56; 2022-11-23T01:30:36.4418520Z auto tmp87 = tmp85 + tmp86; 2022-11-23T01:30:36.4418613Z auto tmp88 = tmp84 + tmp87; 2022-11-23T01:30:36.4418705Z auto tmp89 = tmp83 + tmp88; 2022-11-23T01:30:36.4418811Z auto tmp90 = std::min(63, tmp13); 2022-11-23T01:30:36.4418919Z auto tmp91 = std::max(0, tmp90); 2022-11-23T01:30:36.4419034Z auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:30:36.4419148Z auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:30:36.4419248Z auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:30:36.4419363Z auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:30:36.4419461Z auto tmp96 = tmp92 * tmp38; 2022-11-23T01:30:36.4419557Z auto tmp97 = tmp93 * tmp43; 2022-11-23T01:30:36.4419649Z auto tmp98 = tmp94 * tmp49; 2022-11-23T01:30:36.4419742Z auto tmp99 = tmp95 * tmp56; 2022-11-23T01:30:36.4419839Z auto tmp100 = tmp98 + tmp99; 2022-11-23T01:30:36.4419940Z auto tmp101 = tmp97 + tmp100; 2022-11-23T01:30:36.4420025Z auto tmp102 = tmp96 + tmp101; 2022-11-23T01:30:36.4420121Z auto tmp103 = tmp7 + 1.0; 2022-11-23T01:30:36.4420307Z auto tmp104 = -0.75 * tmp103; 2022-11-23T01:30:36.4420461Z auto tmp105 = tmp104 - -3.75; 2022-11-23T01:30:36.4420561Z auto tmp106 = tmp105 * tmp103; 2022-11-23T01:30:36.4420745Z auto tmp107 = tmp106 + -6.0; 2022-11-23T01:30:36.4420846Z auto tmp108 = tmp107 * tmp103; 2022-11-23T01:30:36.4420985Z auto tmp109 = tmp108 - -3.0; 2022-11-23T01:30:36.4421077Z auto tmp110 = 1.25 * tmp7; 2022-11-23T01:30:36.4421225Z auto tmp111 = tmp110 - 2.25; 2022-11-23T01:30:36.4421323Z auto tmp112 = tmp111 * tmp7; 2022-11-23T01:30:36.4421447Z auto tmp113 = tmp112 * tmp7; 2022-11-23T01:30:36.4421543Z auto tmp114 = tmp113 + 1.0; 2022-11-23T01:30:36.4421686Z auto tmp115 = 1.0 - tmp7; 2022-11-23T01:30:36.4421778Z auto tmp116 = 1.25 * tmp115; 2022-11-23T01:30:36.4421911Z auto tmp117 = tmp116 - 2.25; 2022-11-23T01:30:36.4422010Z auto tmp118 = tmp117 * tmp115; 2022-11-23T01:30:36.4422111Z auto tmp119 = tmp118 * tmp115; 2022-11-23T01:30:36.4422205Z auto tmp120 = tmp119 + 1.0; 2022-11-23T01:30:36.4422299Z auto tmp121 = tmp115 + 1.0; 2022-11-23T01:30:36.4422448Z auto tmp122 = -0.75 * tmp121; 2022-11-23T01:30:36.4422597Z auto tmp123 = tmp122 - -3.75; 2022-11-23T01:30:36.4422683Z auto tmp124 = tmp123 * tmp121; 2022-11-23T01:30:36.4422830Z auto tmp125 = tmp124 + -6.0; 2022-11-23T01:30:36.4422926Z auto tmp126 = tmp125 * tmp121; 2022-11-23T01:30:36.4423075Z auto tmp127 = tmp126 - -3.0; 2022-11-23T01:30:36.4423174Z auto tmp128 = tmp63 * tmp109; 2022-11-23T01:30:36.4423269Z auto tmp129 = tmp76 * tmp114; 2022-11-23T01:30:36.4423366Z auto tmp130 = tmp89 * tmp120; 2022-11-23T01:30:36.4423465Z auto tmp131 = tmp102 * tmp127; 2022-11-23T01:30:36.4423548Z auto tmp132 = tmp130 + tmp131; 2022-11-23T01:30:36.4423644Z auto tmp133 = tmp129 + tmp132; 2022-11-23T01:30:36.4423739Z auto tmp134 = tmp128 + tmp133; 2022-11-23T01:30:36.4423845Z out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134; 2022-11-23T01:30:36.4423915Z } 2022-11-23T01:30:36.4423985Z } 2022-11-23T01:30:36.4424049Z } 2022-11-23T01:30:36.4424100Z } 2022-11-23T01:30:36.4424163Z } 2022-11-23T01:30:36.4424242Z #pragma omp for 2022-11-23T01:30:36.4424326Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.4424389Z { 2022-11-23T01:30:36.4424471Z #pragma GCC ivdep 2022-11-23T01:30:36.4424546Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:30:36.4424611Z { 2022-11-23T01:30:36.4424694Z #pragma GCC ivdep 2022-11-23T01:30:36.4424786Z for(long i2=0; i2<256; i2+=1) 2022-11-23T01:30:36.4424850Z { 2022-11-23T01:30:36.4424917Z { 2022-11-23T01:30:36.4424984Z { 2022-11-23T01:30:36.4425081Z auto tmp0 = static_cast(i2); 2022-11-23T01:30:36.4425174Z auto tmp1 = tmp0 + 0.5; 2022-11-23T01:30:36.4425265Z auto tmp2 = 0.125 * tmp1; 2022-11-23T01:30:36.4425409Z auto tmp3 = tmp2 - 0.5; 2022-11-23T01:30:36.4425514Z auto tmp4 = std::floor(tmp3); 2022-11-23T01:30:36.4425659Z auto tmp5 = tmp3 - tmp4; 2022-11-23T01:30:36.4425766Z auto tmp6 = static_cast(i1); 2022-11-23T01:30:36.4425857Z auto tmp7 = tmp6 + 0.5; 2022-11-23T01:30:36.4425932Z auto tmp8 = 0.5 * tmp7; 2022-11-23T01:30:36.4426098Z auto tmp9 = tmp8 - 0.5; 2022-11-23T01:30:36.4426204Z auto tmp10 = std::floor(tmp9); 2022-11-23T01:30:36.4426353Z auto tmp11 = tmp9 - tmp10; 2022-11-23T01:30:36.4426461Z auto tmp12 = static_cast(tmp10); 2022-11-23T01:30:36.4426568Z auto tmp13 = static_cast(tmp4); 2022-11-23T01:30:36.4426711Z auto tmp14 = tmp12 + -1; 2022-11-23T01:30:36.4426819Z auto tmp15 = tmp12 + 0; 2022-11-23T01:30:36.4426909Z auto tmp16 = tmp12 + 1; 2022-11-23T01:30:36.4426998Z auto tmp17 = tmp12 + 2; 2022-11-23T01:30:36.4427141Z auto tmp18 = tmp13 + -1; 2022-11-23T01:30:36.4427229Z auto tmp19 = tmp13 + 0; 2022-11-23T01:30:36.4427316Z auto tmp20 = tmp13 + 1; 2022-11-23T01:30:36.4427404Z auto tmp21 = tmp13 + 2; 2022-11-23T01:30:36.4427510Z auto tmp22 = std::min(63, tmp14); 2022-11-23T01:30:36.4427603Z auto tmp23 = std::max(0, tmp22); 2022-11-23T01:30:36.4427705Z auto tmp24 = std::min(31, tmp18); 2022-11-23T01:30:36.4427806Z auto tmp25 = std::max(0, tmp24); 2022-11-23T01:30:36.4427926Z auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:30:36.4428031Z auto tmp27 = std::min(31, tmp19); 2022-11-23T01:30:36.4428133Z auto tmp28 = std::max(0, tmp27); 2022-11-23T01:30:36.4428249Z auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:30:36.4428354Z auto tmp30 = std::min(31, tmp20); 2022-11-23T01:30:36.4428443Z auto tmp31 = std::max(0, tmp30); 2022-11-23T01:30:36.4428561Z auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:30:36.4428666Z auto tmp33 = std::min(31, tmp21); 2022-11-23T01:30:36.4428769Z auto tmp34 = std::max(0, tmp33); 2022-11-23T01:30:36.4428884Z auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:30:36.4428985Z auto tmp36 = tmp5 + 1.0; 2022-11-23T01:30:36.4429135Z auto tmp37 = -0.75 * tmp36; 2022-11-23T01:30:36.4429281Z auto tmp38 = tmp37 - -3.75; 2022-11-23T01:30:36.4429363Z auto tmp39 = tmp38 * tmp36; 2022-11-23T01:30:36.4429508Z auto tmp40 = tmp39 + -6.0; 2022-11-23T01:30:36.4429603Z auto tmp41 = tmp40 * tmp36; 2022-11-23T01:30:36.4429748Z auto tmp42 = tmp41 - -3.0; 2022-11-23T01:30:36.4429846Z auto tmp43 = 1.25 * tmp5; 2022-11-23T01:30:36.4429989Z auto tmp44 = tmp43 - 2.25; 2022-11-23T01:30:36.4430083Z auto tmp45 = tmp44 * tmp5; 2022-11-23T01:30:36.4430164Z auto tmp46 = tmp45 * tmp5; 2022-11-23T01:30:36.4430259Z auto tmp47 = tmp46 + 1.0; 2022-11-23T01:30:36.4430464Z auto tmp48 = 1.0 - tmp5; 2022-11-23T01:30:36.4430557Z auto tmp49 = 1.25 * tmp48; 2022-11-23T01:30:36.4430700Z auto tmp50 = tmp49 - 2.25; 2022-11-23T01:30:36.4430795Z auto tmp51 = tmp50 * tmp48; 2022-11-23T01:30:36.4430888Z auto tmp52 = tmp51 * tmp48; 2022-11-23T01:30:36.4430983Z auto tmp53 = tmp52 + 1.0; 2022-11-23T01:30:36.4431062Z auto tmp54 = tmp48 + 1.0; 2022-11-23T01:30:36.4431203Z auto tmp55 = -0.75 * tmp54; 2022-11-23T01:30:36.4431377Z auto tmp56 = tmp55 - -3.75; 2022-11-23T01:30:36.4431471Z auto tmp57 = tmp56 * tmp54; 2022-11-23T01:30:36.4431615Z auto tmp58 = tmp57 + -6.0; 2022-11-23T01:30:36.4431708Z auto tmp59 = tmp58 * tmp54; 2022-11-23T01:30:36.4431849Z auto tmp60 = tmp59 - -3.0; 2022-11-23T01:30:36.4431964Z auto tmp61 = tmp26 * tmp42; 2022-11-23T01:30:36.4432055Z auto tmp62 = tmp29 * tmp47; 2022-11-23T01:30:36.4432148Z auto tmp63 = tmp32 * tmp53; 2022-11-23T01:30:36.4432241Z auto tmp64 = tmp35 * tmp60; 2022-11-23T01:30:36.4432332Z auto tmp65 = tmp63 + tmp64; 2022-11-23T01:30:36.4432424Z auto tmp66 = tmp62 + tmp65; 2022-11-23T01:30:36.4432514Z auto tmp67 = tmp61 + tmp66; 2022-11-23T01:30:36.4432608Z auto tmp68 = std::min(63, tmp15); 2022-11-23T01:30:36.4432715Z auto tmp69 = std::max(0, tmp68); 2022-11-23T01:30:36.4432830Z auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:30:36.4432945Z auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:30:36.4433062Z auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:30:36.4433177Z auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:30:36.4433272Z auto tmp74 = tmp70 * tmp42; 2022-11-23T01:30:36.4433365Z auto tmp75 = tmp71 * tmp47; 2022-11-23T01:30:36.4433445Z auto tmp76 = tmp72 * tmp53; 2022-11-23T01:30:36.4433539Z auto tmp77 = tmp73 * tmp60; 2022-11-23T01:30:36.4433634Z auto tmp78 = tmp76 + tmp77; 2022-11-23T01:30:36.4433726Z auto tmp79 = tmp75 + tmp78; 2022-11-23T01:30:36.4433818Z auto tmp80 = tmp74 + tmp79; 2022-11-23T01:30:36.4433922Z auto tmp81 = std::min(63, tmp16); 2022-11-23T01:30:36.4434026Z auto tmp82 = std::max(0, tmp81); 2022-11-23T01:30:36.4434139Z auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:30:36.4434244Z auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:30:36.4434357Z auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:30:36.4434471Z auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:30:36.4434566Z auto tmp87 = tmp83 * tmp42; 2022-11-23T01:30:36.4434658Z auto tmp88 = tmp84 * tmp47; 2022-11-23T01:30:36.4434754Z auto tmp89 = tmp85 * tmp53; 2022-11-23T01:30:36.4434847Z auto tmp90 = tmp86 * tmp60; 2022-11-23T01:30:36.4434938Z auto tmp91 = tmp89 + tmp90; 2022-11-23T01:30:36.4435017Z auto tmp92 = tmp88 + tmp91; 2022-11-23T01:30:36.4435108Z auto tmp93 = tmp87 + tmp92; 2022-11-23T01:30:36.4435213Z auto tmp94 = std::min(63, tmp17); 2022-11-23T01:30:36.4435321Z auto tmp95 = std::max(0, tmp94); 2022-11-23T01:30:36.4435436Z auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:30:36.4435550Z auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:30:36.4435663Z auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:30:36.4435775Z auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:30:36.4435888Z auto tmp100 = tmp96 * tmp42; 2022-11-23T01:30:36.4435987Z auto tmp101 = tmp97 * tmp47; 2022-11-23T01:30:36.4436084Z auto tmp102 = tmp98 * tmp53; 2022-11-23T01:30:36.4436179Z auto tmp103 = tmp99 * tmp60; 2022-11-23T01:30:36.4436278Z auto tmp104 = tmp102 + tmp103; 2022-11-23T01:30:36.4436405Z auto tmp105 = tmp101 + tmp104; 2022-11-23T01:30:36.4436501Z auto tmp106 = tmp100 + tmp105; 2022-11-23T01:30:36.4436584Z auto tmp107 = tmp11 + 1.0; 2022-11-23T01:30:36.4436735Z auto tmp108 = -0.75 * tmp107; 2022-11-23T01:30:36.4436885Z auto tmp109 = tmp108 - -3.75; 2022-11-23T01:30:36.4436983Z auto tmp110 = tmp109 * tmp107; 2022-11-23T01:30:36.4437129Z auto tmp111 = tmp110 + -6.0; 2022-11-23T01:30:36.4437227Z auto tmp112 = tmp111 * tmp107; 2022-11-23T01:30:36.4437376Z auto tmp113 = tmp112 - -3.0; 2022-11-23T01:30:36.4437471Z auto tmp114 = 1.25 * tmp11; 2022-11-23T01:30:36.4437605Z auto tmp115 = tmp114 - 2.25; 2022-11-23T01:30:36.4437702Z auto tmp116 = tmp115 * tmp11; 2022-11-23T01:30:36.4437802Z auto tmp117 = tmp116 * tmp11; 2022-11-23T01:30:36.4437894Z auto tmp118 = tmp117 + 1.0; 2022-11-23T01:30:36.4438038Z auto tmp119 = 1.0 - tmp11; 2022-11-23T01:30:36.4438133Z auto tmp120 = 1.25 * tmp119; 2022-11-23T01:30:36.4438279Z auto tmp121 = tmp120 - 2.25; 2022-11-23T01:30:36.4438364Z auto tmp122 = tmp121 * tmp119; 2022-11-23T01:30:36.4438462Z auto tmp123 = tmp122 * tmp119; 2022-11-23T01:30:36.4438556Z auto tmp124 = tmp123 + 1.0; 2022-11-23T01:30:36.4438653Z auto tmp125 = tmp119 + 1.0; 2022-11-23T01:30:36.4438798Z auto tmp126 = -0.75 * tmp125; 2022-11-23T01:30:36.4438948Z auto tmp127 = tmp126 - -3.75; 2022-11-23T01:30:36.4439044Z auto tmp128 = tmp127 * tmp125; 2022-11-23T01:30:36.4439194Z auto tmp129 = tmp128 + -6.0; 2022-11-23T01:30:36.4439279Z auto tmp130 = tmp129 * tmp125; 2022-11-23T01:30:36.4439426Z auto tmp131 = tmp130 - -3.0; 2022-11-23T01:30:36.4439521Z auto tmp132 = tmp67 * tmp113; 2022-11-23T01:30:36.4439615Z auto tmp133 = tmp80 * tmp118; 2022-11-23T01:30:36.4439710Z auto tmp134 = tmp93 * tmp124; 2022-11-23T01:30:36.4439812Z auto tmp135 = tmp106 * tmp131; 2022-11-23T01:30:36.4439907Z auto tmp136 = tmp134 + tmp135; 2022-11-23T01:30:36.4440112Z auto tmp137 = tmp133 + tmp136; 2022-11-23T01:30:36.4440210Z auto tmp138 = tmp132 + tmp137; 2022-11-23T01:30:36.4440318Z out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138; 2022-11-23T01:30:36.4440388Z } 2022-11-23T01:30:36.4440460Z } 2022-11-23T01:30:36.4440525Z } 2022-11-23T01:30:36.4440590Z } 2022-11-23T01:30:36.4440639Z } 2022-11-23T01:30:36.4440702Z } 2022-11-23T01:30:36.4440763Z } 2022-11-23T01:30:36.4440841Z ''') 2022-11-23T01:30:36.4440848Z 2022-11-23T01:30:36.4440853Z 2022-11-23T01:30:36.4440944Z async_compile.wait(globals()) 2022-11-23T01:30:36.4441017Z del async_compile 2022-11-23T01:30:36.4441022Z 2022-11-23T01:30:36.4441091Z def call(args): 2022-11-23T01:30:36.4441148Z arg0_1, = args 2022-11-23T01:30:36.4441256Z args.clear() 2022-11-23T01:30:36.4441489Z buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4441711Z buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4441876Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.4441974Z del arg0_1 2022-11-23T01:30:36.4442052Z return (buf0, buf1, ) 2022-11-23T01:30:36.4442057Z 2022-11-23T01:30:36.4442062Z 2022-11-23T01:30:36.4442137Z if __name__ == "__main__": 2022-11-23T01:30:36.4442239Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4442363Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4442585Z arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4442692Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4443070Z [2022-11-23 01:28:35,029] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gn/cgng74arkbnxsslwqxsu2uqkawy74xdse5b7elby2ikdkwdv57hl.py 2022-11-23T01:30:36.4443338Z [2022-11-23 01:28:35,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405 2022-11-23T01:30:36.4443343Z 2022-11-23T01:30:36.4443410Z ok (2.405s) 2022-11-23T01:30:36.4443735Z test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4444053Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4444255Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4444504Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4444890Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4445214Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4445563Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4445888Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4446268Z [2022-11-23 01:28:35,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4446364Z 3009 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4446482Z 2 LOAD_METHOD 1 (upsample_bilinear2d) 2022-11-23T01:30:36.4446575Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4446653Z 6 LOAD_CONST 1 (45) 2022-11-23T01:30:36.4446743Z 8 LOAD_CONST 1 (45) 2022-11-23T01:30:36.4446835Z 10 BUILD_LIST 2 2022-11-23T01:30:36.4446928Z 12 LOAD_CONST 2 (False) 2022-11-23T01:30:36.4447022Z 14 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4447108Z 16 CALL_METHOD 4 2022-11-23T01:30:36.4447114Z 2022-11-23T01:30:36.4447205Z 3010 18 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4447302Z 20 LOAD_METHOD 1 (upsample_bilinear2d) 2022-11-23T01:30:36.4447391Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4447481Z 24 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4447627Z 26 LOAD_CONST 3 (True) 2022-11-23T01:30:36.4447719Z 28 LOAD_CONST 4 (2.0) 2022-11-23T01:30:36.4447811Z 30 LOAD_CONST 4 (2.0) 2022-11-23T01:30:36.4447898Z 32 BUILD_LIST 2 2022-11-23T01:30:36.4447984Z 34 CALL_METHOD 4 2022-11-23T01:30:36.4447989Z 2022-11-23T01:30:36.4448062Z 3008 36 BUILD_TUPLE 2 2022-11-23T01:30:36.4448173Z 38 RETURN_VALUE 2022-11-23T01:30:36.4448235Z 2022-11-23T01:30:36.4448239Z 2022-11-23T01:30:36.4448558Z [2022-11-23 01:28:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3009 2022-11-23T01:30:36.4448776Z [2022-11-23 01:28:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4449108Z [2022-11-23 01:28:35,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable()] 2022-11-23T01:30:36.4449385Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)] 2022-11-23T01:30:36.4449689Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()] 2022-11-23T01:30:36.4450030Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4450402Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4450738Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4451108Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:30:36.4451532Z [2022-11-23 01:28:35,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4451852Z [2022-11-23 01:28:35,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3010 2022-11-23T01:30:36.4452094Z [2022-11-23 01:28:35,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.4452449Z [2022-11-23 01:28:35,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4452750Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)] 2022-11-23T01:30:36.4453088Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()] 2022-11-23T01:30:36.4453469Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4453893Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)] 2022-11-23T01:30:36.4454401Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)] 2022-11-23T01:30:36.4454902Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:36.4455347Z [2022-11-23 01:28:35,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()] 2022-11-23T01:30:36.4455692Z [2022-11-23 01:28:35,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3008 2022-11-23T01:30:36.4455949Z [2022-11-23 01:28:35,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4456197Z [2022-11-23 01:28:35,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4456579Z [2022-11-23 01:28:35,098] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4456825Z [2022-11-23 01:28:35,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4457057Z [2022-11-23 01:28:35,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4457313Z [2022-11-23 01:28:35,099] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4457561Z [2022-11-23 01:28:35,135] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4457749Z [2022-11-23 01:28:35,136] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4457885Z __compiled_fn_414 .3298 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4457964Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4458130Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {} 2022-11-23T01:30:36.4458295Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {} 2022-11-23T01:30:36.4458439Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {} 2022-11-23T01:30:36.4458444Z 2022-11-23T01:30:36.4458769Z [2022-11-23 01:28:35,136] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4458864Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4458954Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4459041Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4459119Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4459203Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4459293Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4459369Z 12 RETURN_VALUE 2022-11-23T01:30:36.4459375Z 2022-11-23T01:30:36.4459434Z 2022-11-23T01:30:36.4459754Z [2022-11-23 01:28:35,136] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4459862Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_414) 2022-11-23T01:30:36.4459955Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4460031Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4460108Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4460196Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4460298Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4460399Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4460486Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4460591Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4460681Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4460768Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4460844Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4460929Z 24 BUILD_TUPLE 2 2022-11-23T01:30:36.4461004Z 26 RETURN_VALUE 2022-11-23T01:30:36.4461009Z 2022-11-23T01:30:36.4461068Z 2022-11-23T01:30:36.4461280Z [2022-11-23 01:28:35,137] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4461337Z - 2022-11-23T01:30:36.4461456Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4461519Z { 2022-11-23T01:30:36.4461660Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4461845Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4461967Z 'obj_weakref': None 2022-11-23T01:30:36.4462196Z 'guarded_class': 2022-11-23T01:30:36.4462260Z } 2022-11-23T01:30:36.4462311Z 2022-11-23T01:30:36.4462380Z - 2022-11-23T01:30:36.4462502Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4462565Z { 2022-11-23T01:30:36.4462707Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4462812Z 'code': None, 2022-11-23T01:30:36.4463012Z 'obj_weakref': 2022-11-23T01:30:36.4463265Z 'guarded_class': 2022-11-23T01:30:36.4463328Z } 2022-11-23T01:30:36.4463391Z 2022-11-23T01:30:36.4463458Z - 2022-11-23T01:30:36.4463587Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4463650Z { 2022-11-23T01:30:36.4463771Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4463941Z 'code': ['___check_obj_id(model, 140534432994432)'], 2022-11-23T01:30:36.4464059Z 'obj_weakref': None 2022-11-23T01:30:36.4464289Z 'guarded_class': 2022-11-23T01:30:36.4464353Z } 2022-11-23T01:30:36.4464415Z 2022-11-23T01:30:36.4464482Z - 2022-11-23T01:30:36.4464590Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4464653Z { 2022-11-23T01:30:36.4464792Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4465009Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4465125Z 'obj_weakref': None 2022-11-23T01:30:36.4465345Z 'guarded_class': 2022-11-23T01:30:36.4465407Z } 2022-11-23T01:30:36.4465457Z 2022-11-23T01:30:36.4465527Z - 2022-11-23T01:30:36.4465660Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4465725Z { 2022-11-23T01:30:36.4465842Z 'guard_types': None, 2022-11-23T01:30:36.4465947Z 'code': None, 2022-11-23T01:30:36.4466063Z 'obj_weakref': None 2022-11-23T01:30:36.4466171Z 'guarded_class': None 2022-11-23T01:30:36.4466233Z } 2022-11-23T01:30:36.4466299Z 2022-11-23T01:30:36.4466559Z [2022-11-23 01:28:35,176] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406 2022-11-23T01:30:36.4466781Z [2022-11-23 01:28:35,177] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:30:36.4466889Z target: aten.upsample_bilinear2d.default 2022-11-23T01:30:36.4466979Z args[0]: TensorBox(StorageBox( 2022-11-23T01:30:36.4467232Z InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[2, 4, 37, 38], stride=[5624, 1406, 38, 1])) 2022-11-23T01:30:36.4467314Z )) 2022-11-23T01:30:36.4467409Z args[1]: [45, 45] 2022-11-23T01:30:36.4467556Z args[2]: False 2022-11-23T01:30:36.4467931Z [2022-11-23 01:28:35,178] torch._inductor.lowering: [WARNING] make_fallback(aten.upsample_bilinear2d.default): a decomposition exists, we should switch to it 2022-11-23T01:30:36.4468212Z [2022-11-23 01:28:35,197] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default 2022-11-23T01:30:36.4468486Z [2022-11-23 01:28:35,215] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default 2022-11-23T01:30:36.4468893Z [2022-11-23 01:28:35,217] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6jwthtvlfgybyqb2nevaigxcgibtxfdnojafkjtzoh2r5vizno.py 2022-11-23T01:30:36.4469156Z [2022-11-23 01:28:35,218] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406 2022-11-23T01:30:36.4469162Z 2022-11-23T01:30:36.4469243Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4469313Z import torch 2022-11-23T01:30:36.4469385Z import random 2022-11-23T01:30:36.4469502Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4469622Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4469627Z 2022-11-23T01:30:36.4469703Z aten = torch.ops.aten 2022-11-23T01:30:36.4469835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4469913Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4469933Z 2022-11-23T01:30:36.4469938Z 2022-11-23T01:30:36.4470012Z async_compile.wait(globals()) 2022-11-23T01:30:36.4470084Z del async_compile 2022-11-23T01:30:36.4470089Z 2022-11-23T01:30:36.4470157Z def call(args): 2022-11-23T01:30:36.4470226Z arg0_1, = args 2022-11-23T01:30:36.4470296Z args.clear() 2022-11-23T01:30:36.4470445Z buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False) 2022-11-23T01:30:36.4470512Z buf1 = buf0 2022-11-23T01:30:36.4470607Z assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1)) 2022-11-23T01:30:36.4470675Z del buf0 2022-11-23T01:30:36.4470829Z buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0) 2022-11-23T01:30:36.4470896Z del arg0_1 2022-11-23T01:30:36.4470963Z buf3 = buf2 2022-11-23T01:30:36.4471070Z assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1)) 2022-11-23T01:30:36.4471134Z del buf2 2022-11-23T01:30:36.4471198Z return (buf1, buf3, ) 2022-11-23T01:30:36.4471205Z 2022-11-23T01:30:36.4471226Z 2022-11-23T01:30:36.4471289Z if __name__ == "__main__": 2022-11-23T01:30:36.4471401Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4471523Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4471745Z arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4471855Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4471860Z 2022-11-23T01:30:36.4471928Z ok (0.180s) 2022-11-23T01:30:36.4472257Z test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4472568Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4472772Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4473026Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4473300Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4473623Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4473995Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4474320Z [2022-11-23 01:28:35,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4474690Z [2022-11-23 01:28:35,224] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4474813Z 3017 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4474926Z 2 LOAD_METHOD 1 (upsample_bilinear2d) 2022-11-23T01:30:36.4475004Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4475096Z 6 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4475240Z 8 LOAD_CONST 1 (True) 2022-11-23T01:30:36.4475329Z 10 LOAD_CONST 2 (2.0) 2022-11-23T01:30:36.4475419Z 12 LOAD_CONST 2 (2.0) 2022-11-23T01:30:36.4475506Z 14 BUILD_LIST 2 2022-11-23T01:30:36.4475592Z 16 CALL_METHOD 4 2022-11-23T01:30:36.4475669Z 18 RETURN_VALUE 2022-11-23T01:30:36.4475717Z 2022-11-23T01:30:36.4475722Z 2022-11-23T01:30:36.4476034Z [2022-11-23 01:28:35,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3017 2022-11-23T01:30:36.4476255Z [2022-11-23 01:28:35,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4476586Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable()] 2022-11-23T01:30:36.4476862Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)] 2022-11-23T01:30:36.4477169Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()] 2022-11-23T01:30:36.4477521Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4477911Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)] 2022-11-23T01:30:36.4478341Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)] 2022-11-23T01:30:36.4478818Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:36.4479235Z [2022-11-23 01:28:35,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()] 2022-11-23T01:30:36.4479469Z [2022-11-23 01:28:35,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4479849Z [2022-11-23 01:28:35,249] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4480175Z [2022-11-23 01:28:35,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4480413Z [2022-11-23 01:28:35,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4480694Z [2022-11-23 01:28:35,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4480946Z [2022-11-23 01:28:35,268] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4481133Z [2022-11-23 01:28:35,268] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4481268Z __compiled_fn_415 .3304 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4481357Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4481538Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {} 2022-11-23T01:30:36.4481656Z output, output, output, ((upsample_bilinear2d,),), {} 2022-11-23T01:30:36.4481661Z 2022-11-23T01:30:36.4481986Z [2022-11-23 01:28:35,268] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4482079Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4482171Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4482260Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4482351Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4482436Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4482510Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4482586Z 12 RETURN_VALUE 2022-11-23T01:30:36.4482591Z 2022-11-23T01:30:36.4482651Z 2022-11-23T01:30:36.4482973Z [2022-11-23 01:28:35,268] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4483080Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_415) 2022-11-23T01:30:36.4483170Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4483258Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4483334Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4483409Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4483499Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.4483573Z 12 RETURN_VALUE 2022-11-23T01:30:36.4483577Z 2022-11-23T01:30:36.4483637Z 2022-11-23T01:30:36.4483817Z [2022-11-23 01:28:35,269] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4483886Z - 2022-11-23T01:30:36.4484004Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4484055Z { 2022-11-23T01:30:36.4484196Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4484382Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4484502Z 'obj_weakref': None 2022-11-23T01:30:36.4484727Z 'guarded_class': 2022-11-23T01:30:36.4484889Z } 2022-11-23T01:30:36.4484952Z 2022-11-23T01:30:36.4485009Z - 2022-11-23T01:30:36.4485133Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4485197Z { 2022-11-23T01:30:36.4485342Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4485449Z 'code': None, 2022-11-23T01:30:36.4485660Z 'obj_weakref': 2022-11-23T01:30:36.4485910Z 'guarded_class': 2022-11-23T01:30:36.4485962Z } 2022-11-23T01:30:36.4486027Z 2022-11-23T01:30:36.4486095Z - 2022-11-23T01:30:36.4486225Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4486288Z { 2022-11-23T01:30:36.4486422Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4486597Z 'code': ['___check_obj_id(model, 140534433001200)'], 2022-11-23T01:30:36.4486702Z 'obj_weakref': None 2022-11-23T01:30:36.4486932Z 'guarded_class': 2022-11-23T01:30:36.4486995Z } 2022-11-23T01:30:36.4487136Z 2022-11-23T01:30:36.4487205Z - 2022-11-23T01:30:36.4487325Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4487389Z { 2022-11-23T01:30:36.4487512Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4487727Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4487846Z 'obj_weakref': None 2022-11-23T01:30:36.4488104Z 'guarded_class': 2022-11-23T01:30:36.4488168Z } 2022-11-23T01:30:36.4488231Z 2022-11-23T01:30:36.4488298Z - 2022-11-23T01:30:36.4488415Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4488479Z { 2022-11-23T01:30:36.4488598Z 'guard_types': None, 2022-11-23T01:30:36.4488703Z 'code': None, 2022-11-23T01:30:36.4488819Z 'obj_weakref': None 2022-11-23T01:30:36.4488942Z 'guarded_class': None 2022-11-23T01:30:36.4489008Z } 2022-11-23T01:30:36.4489058Z 2022-11-23T01:30:36.4489314Z [2022-11-23 01:28:35,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407 2022-11-23T01:30:36.4489599Z [2022-11-23 01:28:35,306] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default 2022-11-23T01:30:36.4489967Z [2022-11-23 01:28:35,308] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxihpsvscu7mq7celyuqnjydsd2ow4swyg5c2zawg5wjxnzsn46.py 2022-11-23T01:30:36.4490239Z [2022-11-23 01:28:35,309] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407 2022-11-23T01:30:36.4490244Z 2022-11-23T01:30:36.4490336Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4490404Z import torch 2022-11-23T01:30:36.4490472Z import random 2022-11-23T01:30:36.4490573Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4490694Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4490700Z 2022-11-23T01:30:36.4490777Z aten = torch.ops.aten 2022-11-23T01:30:36.4490910Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4491001Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4491006Z 2022-11-23T01:30:36.4491010Z 2022-11-23T01:30:36.4491095Z async_compile.wait(globals()) 2022-11-23T01:30:36.4491166Z del async_compile 2022-11-23T01:30:36.4491174Z 2022-11-23T01:30:36.4491244Z def call(args): 2022-11-23T01:30:36.4491300Z arg0_1, = args 2022-11-23T01:30:36.4491370Z args.clear() 2022-11-23T01:30:36.4491523Z buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0) 2022-11-23T01:30:36.4491591Z del arg0_1 2022-11-23T01:30:36.4491657Z buf1 = buf0 2022-11-23T01:30:36.4491767Z assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1)) 2022-11-23T01:30:36.4491831Z del buf0 2022-11-23T01:30:36.4491888Z return (buf1, ) 2022-11-23T01:30:36.4491896Z 2022-11-23T01:30:36.4491913Z 2022-11-23T01:30:36.4491977Z if __name__ == "__main__": 2022-11-23T01:30:36.4492090Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4492211Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4492431Z arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4492537Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4492544Z 2022-11-23T01:30:36.4492610Z ok (0.090s) 2022-11-23T01:30:36.4492936Z test_upsample_nearest1d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4493249Z [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4493482Z [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4493735Z [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4494011Z [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4494328Z [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4494705Z [2022-11-23 01:28:35,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4495025Z [2022-11-23 01:28:35,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4495402Z [2022-11-23 01:28:35,314] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4495496Z 2959 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4495607Z 2 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:30:36.4495685Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4495775Z 6 LOAD_CONST 1 (74) 2022-11-23T01:30:36.4495862Z 8 BUILD_LIST 1 2022-11-23T01:30:36.4495956Z 10 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4496042Z 12 CALL_METHOD 3 2022-11-23T01:30:36.4496049Z 2022-11-23T01:30:36.4496139Z 2960 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4496249Z 16 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:30:36.4496339Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4496414Z 20 LOAD_CONST 2 (70) 2022-11-23T01:30:36.4496501Z 22 BUILD_LIST 1 2022-11-23T01:30:36.4496590Z 24 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4496675Z 26 CALL_METHOD 3 2022-11-23T01:30:36.4496680Z 2022-11-23T01:30:36.4496768Z 2961 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4496877Z 30 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:30:36.4496966Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4497044Z 34 LOAD_CONST 3 (45) 2022-11-23T01:30:36.4497133Z 36 BUILD_LIST 1 2022-11-23T01:30:36.4497222Z 38 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4497307Z 40 CALL_METHOD 3 2022-11-23T01:30:36.4497311Z 2022-11-23T01:30:36.4497399Z 2962 42 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4497507Z 44 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:30:36.4497597Z 46 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4497686Z 48 LOAD_CONST 4 (36) 2022-11-23T01:30:36.4497759Z 50 BUILD_LIST 1 2022-11-23T01:30:36.4497848Z 52 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4497933Z 54 CALL_METHOD 3 2022-11-23T01:30:36.4497937Z 2022-11-23T01:30:36.4498025Z 2963 56 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4498135Z 58 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:30:36.4498222Z 60 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4498309Z 62 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4498397Z 64 LOAD_CONST 5 (2.0) 2022-11-23T01:30:36.4498470Z 66 BUILD_LIST 1 2022-11-23T01:30:36.4498555Z 68 CALL_METHOD 3 2022-11-23T01:30:36.4498559Z 2022-11-23T01:30:36.4498645Z 2958 70 BUILD_TUPLE 5 2022-11-23T01:30:36.4498759Z 72 RETURN_VALUE 2022-11-23T01:30:36.4498821Z 2022-11-23T01:30:36.4498827Z 2022-11-23T01:30:36.4499144Z [2022-11-23 01:28:35,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2959 2022-11-23T01:30:36.4499362Z [2022-11-23 01:28:35,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4499721Z [2022-11-23 01:28:35,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable()] 2022-11-23T01:30:36.4499980Z [2022-11-23 01:28:35,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:30:36.4500282Z [2022-11-23 01:28:35,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:30:36.4500620Z [2022-11-23 01:28:35,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4500948Z [2022-11-23 01:28:35,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4501321Z [2022-11-23 01:28:35,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4501636Z [2022-11-23 01:28:35,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2960 2022-11-23T01:30:36.4501881Z [2022-11-23 01:28:35,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.4502236Z [2022-11-23 01:28:35,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4502536Z [2022-11-23 01:28:35,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:30:36.4502865Z [2022-11-23 01:28:35,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:30:36.4503232Z [2022-11-23 01:28:35,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4503590Z [2022-11-23 01:28:35,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4503983Z [2022-11-23 01:28:35,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4504293Z [2022-11-23 01:28:35,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2961 2022-11-23T01:30:36.4504560Z [2022-11-23 01:28:35,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4504943Z [2022-11-23 01:28:35,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4505267Z [2022-11-23 01:28:35,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:30:36.4505621Z [2022-11-23 01:28:35,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:30:36.4506041Z [2022-11-23 01:28:35,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4506428Z [2022-11-23 01:28:35,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4506889Z [2022-11-23 01:28:35,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4507201Z [2022-11-23 01:28:35,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2962 2022-11-23T01:30:36.4507503Z [2022-11-23 01:28:35,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4507910Z [2022-11-23 01:28:35,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4508262Z [2022-11-23 01:28:35,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:30:36.4508636Z [2022-11-23 01:28:35,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:30:36.4509057Z [2022-11-23 01:28:35,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4509474Z [2022-11-23 01:28:35,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4509942Z [2022-11-23 01:28:35,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4510258Z [2022-11-23 01:28:35,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2963 2022-11-23T01:30:36.4510588Z [2022-11-23 01:28:35,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4511033Z [2022-11-23 01:28:35,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4511414Z [2022-11-23 01:28:35,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:30:36.4511831Z [2022-11-23 01:28:35,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:30:36.4512299Z [2022-11-23 01:28:35,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4512836Z [2022-11-23 01:28:35,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)] 2022-11-23T01:30:36.4513329Z [2022-11-23 01:28:35,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:30:36.4513639Z [2022-11-23 01:28:35,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2958 2022-11-23T01:30:36.4514015Z [2022-11-23 01:28:35,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4514260Z [2022-11-23 01:28:35,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4514643Z [2022-11-23 01:28:35,350] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4514874Z [2022-11-23 01:28:35,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4515109Z [2022-11-23 01:28:35,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4515362Z [2022-11-23 01:28:35,351] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4515613Z [2022-11-23 01:28:35,355] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4515800Z [2022-11-23 01:28:35,356] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4515936Z __compiled_fn_416 .3310 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4516024Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4516176Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {} 2022-11-23T01:30:36.4516327Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {} 2022-11-23T01:30:36.4516460Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {} 2022-11-23T01:30:36.4516599Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {} 2022-11-23T01:30:36.4516748Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {} 2022-11-23T01:30:36.4516962Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {} 2022-11-23T01:30:36.4516968Z 2022-11-23T01:30:36.4517290Z [2022-11-23 01:28:35,356] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4517383Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4517472Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4517561Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4517641Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4517726Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4517814Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4517891Z 12 RETURN_VALUE 2022-11-23T01:30:36.4517896Z 2022-11-23T01:30:36.4517955Z 2022-11-23T01:30:36.4518277Z [2022-11-23 01:28:35,356] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4518387Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_416) 2022-11-23T01:30:36.4518476Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4518553Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4518638Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4518725Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4518868Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4518970Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4519057Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4519120Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4519218Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4519305Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4519379Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4519505Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4519592Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4519667Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4519752Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4519837Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4519910Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4520085Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4520178Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4520253Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4520340Z 42 BUILD_TUPLE 5 2022-11-23T01:30:36.4520401Z 44 RETURN_VALUE 2022-11-23T01:30:36.4520406Z 2022-11-23T01:30:36.4520466Z 2022-11-23T01:30:36.4520653Z [2022-11-23 01:28:35,357] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4520723Z - 2022-11-23T01:30:36.4520846Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4520908Z { 2022-11-23T01:30:36.4521048Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4521220Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4521339Z 'obj_weakref': None 2022-11-23T01:30:36.4521565Z 'guarded_class': 2022-11-23T01:30:36.4521629Z } 2022-11-23T01:30:36.4521692Z 2022-11-23T01:30:36.4521767Z - 2022-11-23T01:30:36.4521889Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4521939Z { 2022-11-23T01:30:36.4522081Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4522186Z 'code': None, 2022-11-23T01:30:36.4522395Z 'obj_weakref': 2022-11-23T01:30:36.4522648Z 'guarded_class': 2022-11-23T01:30:36.4522713Z } 2022-11-23T01:30:36.4522777Z 2022-11-23T01:30:36.4522831Z - 2022-11-23T01:30:36.4522961Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4523022Z { 2022-11-23T01:30:36.4523154Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4523322Z 'code': ['___check_obj_id(model, 140534625220880)'], 2022-11-23T01:30:36.4523438Z 'obj_weakref': None 2022-11-23T01:30:36.4523668Z 'guarded_class': 2022-11-23T01:30:36.4523719Z } 2022-11-23T01:30:36.4523782Z 2022-11-23T01:30:36.4523851Z - 2022-11-23T01:30:36.4523970Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4524033Z { 2022-11-23T01:30:36.4524167Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4524379Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4524485Z 'obj_weakref': None 2022-11-23T01:30:36.4524704Z 'guarded_class': 2022-11-23T01:30:36.4524856Z } 2022-11-23T01:30:36.4524920Z 2022-11-23T01:30:36.4524988Z - 2022-11-23T01:30:36.4525119Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4525181Z { 2022-11-23T01:30:36.4525287Z 'guard_types': None, 2022-11-23T01:30:36.4525445Z 'code': None, 2022-11-23T01:30:36.4525565Z 'obj_weakref': None 2022-11-23T01:30:36.4525686Z 'guarded_class': None 2022-11-23T01:30:36.4525749Z } 2022-11-23T01:30:36.4525811Z 2022-11-23T01:30:36.4526070Z [2022-11-23 01:28:35,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408 2022-11-23T01:30:36.4526466Z [2022-11-23 01:28:36,855] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctv4t6tfywxshseeeu4kt4iexyby3ozcqurrq4qyb5kt2bv3lci5.py 2022-11-23T01:30:36.4526733Z [2022-11-23 01:28:36,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408 2022-11-23T01:30:36.4526741Z 2022-11-23T01:30:36.4526835Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4526904Z import torch 2022-11-23T01:30:36.4526972Z import random 2022-11-23T01:30:36.4527085Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4527208Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4527213Z 2022-11-23T01:30:36.4527290Z aten = torch.ops.aten 2022-11-23T01:30:36.4527412Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4527504Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4527508Z 2022-11-23T01:30:36.4527512Z 2022-11-23T01:30:36.4527643Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4527851Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4527968Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4528067Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4528161Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.4528252Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4528331Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.4528426Z float* __restrict__ out_ptr4) 2022-11-23T01:30:36.4528486Z { 2022-11-23T01:30:36.4528584Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4528644Z { 2022-11-23T01:30:36.4528720Z #pragma omp for 2022-11-23T01:30:36.4528804Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4528854Z { 2022-11-23T01:30:36.4528933Z #pragma GCC ivdep 2022-11-23T01:30:36.4529019Z for(long i1=0; i1<74; i1+=1) 2022-11-23T01:30:36.4529085Z { 2022-11-23T01:30:36.4529149Z { 2022-11-23T01:30:36.4529215Z { 2022-11-23T01:30:36.4529309Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4529418Z auto tmp1 = static_cast(0.5); 2022-11-23T01:30:36.4529511Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4529618Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4529722Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:30:36.4529819Z out_ptr0[i1 + (74*i0)] = tmp4; 2022-11-23T01:30:36.4529916Z out_ptr1[i1 + (74*i0)] = tmp4; 2022-11-23T01:30:36.4529984Z } 2022-11-23T01:30:36.4530035Z } 2022-11-23T01:30:36.4530098Z } 2022-11-23T01:30:36.4530162Z } 2022-11-23T01:30:36.4530240Z #pragma omp for 2022-11-23T01:30:36.4530321Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4530387Z { 2022-11-23T01:30:36.4530453Z #pragma GCC ivdep 2022-11-23T01:30:36.4530540Z for(long i1=0; i1<70; i1+=1) 2022-11-23T01:30:36.4530603Z { 2022-11-23T01:30:36.4530668Z { 2022-11-23T01:30:36.4530733Z { 2022-11-23T01:30:36.4530839Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4530956Z auto tmp1 = static_cast(0.5285714285714286); 2022-11-23T01:30:36.4531067Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4531175Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4531278Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:30:36.4531373Z out_ptr2[i1 + (70*i0)] = tmp4; 2022-11-23T01:30:36.4531439Z } 2022-11-23T01:30:36.4531504Z } 2022-11-23T01:30:36.4531567Z } 2022-11-23T01:30:36.4531644Z } 2022-11-23T01:30:36.4531722Z #pragma omp for 2022-11-23T01:30:36.4531803Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4531866Z { 2022-11-23T01:30:36.4531945Z #pragma GCC ivdep 2022-11-23T01:30:36.4532029Z for(long i1=0; i1<45; i1+=1) 2022-11-23T01:30:36.4532092Z { 2022-11-23T01:30:36.4532142Z { 2022-11-23T01:30:36.4532208Z { 2022-11-23T01:30:36.4532315Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4532431Z auto tmp1 = static_cast(0.8222222222222222); 2022-11-23T01:30:36.4532525Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4532630Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4532732Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:30:36.4532813Z out_ptr3[i1 + (45*i0)] = tmp4; 2022-11-23T01:30:36.4532880Z } 2022-11-23T01:30:36.4532947Z } 2022-11-23T01:30:36.4533010Z } 2022-11-23T01:30:36.4533073Z } 2022-11-23T01:30:36.4533148Z #pragma omp for 2022-11-23T01:30:36.4533230Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4533279Z { 2022-11-23T01:30:36.4533358Z #pragma GCC ivdep 2022-11-23T01:30:36.4533444Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:30:36.4533510Z { 2022-11-23T01:30:36.4533573Z { 2022-11-23T01:30:36.4533641Z { 2022-11-23T01:30:36.4533747Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4533846Z auto tmp1 = static_cast(1.0277777777777777); 2022-11-23T01:30:36.4533939Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4534045Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4534148Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:30:36.4534245Z out_ptr4[i1 + (36*i0)] = tmp4; 2022-11-23T01:30:36.4534311Z } 2022-11-23T01:30:36.4534376Z } 2022-11-23T01:30:36.4534425Z } 2022-11-23T01:30:36.4534487Z } 2022-11-23T01:30:36.4534550Z } 2022-11-23T01:30:36.4534612Z } 2022-11-23T01:30:36.4534693Z ''') 2022-11-23T01:30:36.4534698Z 2022-11-23T01:30:36.4534702Z 2022-11-23T01:30:36.4534791Z async_compile.wait(globals()) 2022-11-23T01:30:36.4534862Z del async_compile 2022-11-23T01:30:36.4534867Z 2022-11-23T01:30:36.4534927Z def call(args): 2022-11-23T01:30:36.4534995Z arg0_1, = args 2022-11-23T01:30:36.4535066Z args.clear() 2022-11-23T01:30:36.4535273Z buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4535471Z buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4535665Z buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4535860Z buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4536051Z buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4536273Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.4536343Z del arg0_1 2022-11-23T01:30:36.4536439Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:36.4536474Z 2022-11-23T01:30:36.4536479Z 2022-11-23T01:30:36.4536558Z if __name__ == "__main__": 2022-11-23T01:30:36.4536671Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4536793Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4536996Z arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4537105Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4537138Z 2022-11-23T01:30:36.4537192Z ok (1.547s) 2022-11-23T01:30:36.4537533Z test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4537849Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4538071Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4538319Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4538594Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4538912Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4539260Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4539582Z [2022-11-23 01:28:36,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4539960Z [2022-11-23 01:28:36,862] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4540042Z 2997 0 LOAD_DEREF 0 (func) 2022-11-23T01:30:36.4540131Z 2 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4540219Z 4 LOAD_CONST 1 (6) 2022-11-23T01:30:36.4540310Z 6 LOAD_CONST 2 (12) 2022-11-23T01:30:36.4540397Z 8 BUILD_LIST 2 2022-11-23T01:30:36.4540484Z 10 BUILD_LIST 0 2022-11-23T01:30:36.4540580Z 12 LOAD_CONST 3 ((3, 3, 3, 6)) 2022-11-23T01:30:36.4540665Z 14 LIST_EXTEND 1 2022-11-23T01:30:36.4540830Z 16 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:30:36.4540919Z 18 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.4540924Z 2022-11-23T01:30:36.4541015Z 2998 20 LOAD_DEREF 0 (func) 2022-11-23T01:30:36.4541105Z 22 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4541191Z 24 LOAD_CONST 1 (6) 2022-11-23T01:30:36.4541279Z 26 LOAD_CONST 2 (12) 2022-11-23T01:30:36.4541365Z 28 BUILD_LIST 2 2022-11-23T01:30:36.4541437Z 30 BUILD_LIST 0 2022-11-23T01:30:36.4541532Z 32 LOAD_CONST 5 ((3, 3, 4, 5)) 2022-11-23T01:30:36.4541616Z 34 LIST_EXTEND 1 2022-11-23T01:30:36.4541796Z 36 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:30:36.4541886Z 38 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.4541890Z 2022-11-23T01:30:36.4541979Z 2999 40 LOAD_DEREF 0 (func) 2022-11-23T01:30:36.4542067Z 42 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4542153Z 44 LOAD_CONST 1 (6) 2022-11-23T01:30:36.4542229Z 46 LOAD_CONST 2 (12) 2022-11-23T01:30:36.4542354Z 48 BUILD_LIST 2 2022-11-23T01:30:36.4542444Z 50 BUILD_LIST 0 2022-11-23T01:30:36.4542538Z 52 LOAD_CONST 6 ((3, 3, 2, 8)) 2022-11-23T01:30:36.4542624Z 54 LIST_EXTEND 1 2022-11-23T01:30:36.4542801Z 56 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:30:36.4542889Z 58 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.4542922Z 2022-11-23T01:30:36.4543000Z 3000 60 LOAD_DEREF 0 (func) 2022-11-23T01:30:36.4543086Z 62 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4543171Z 64 LOAD_CONST 1 (6) 2022-11-23T01:30:36.4543264Z 66 LOAD_CONST 2 (12) 2022-11-23T01:30:36.4543347Z 68 BUILD_LIST 2 2022-11-23T01:30:36.4543431Z 70 BUILD_LIST 0 2022-11-23T01:30:36.4543528Z 72 LOAD_CONST 6 ((3, 3, 2, 8)) 2022-11-23T01:30:36.4543613Z 74 LIST_EXTEND 1 2022-11-23T01:30:36.4543775Z 76 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:30:36.4543863Z 78 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.4543868Z 2022-11-23T01:30:36.4543958Z 3001 80 LOAD_DEREF 0 (func) 2022-11-23T01:30:36.4544044Z 82 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4544133Z 84 LOAD_CONST 1 (6) 2022-11-23T01:30:36.4544221Z 86 LOAD_CONST 2 (12) 2022-11-23T01:30:36.4544305Z 88 BUILD_LIST 2 2022-11-23T01:30:36.4544377Z 90 BUILD_LIST 0 2022-11-23T01:30:36.4544471Z 92 LOAD_CONST 7 ((3, 3, 4, 7)) 2022-11-23T01:30:36.4544556Z 94 LIST_EXTEND 1 2022-11-23T01:30:36.4544732Z 96 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:30:36.4544822Z 98 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.4544827Z 2022-11-23T01:30:36.4544913Z 2996 100 BUILD_TUPLE 5 2022-11-23T01:30:36.4544989Z 102 RETURN_VALUE 2022-11-23T01:30:36.4545049Z 2022-11-23T01:30:36.4545054Z 2022-11-23T01:30:36.4545359Z [2022-11-23 01:28:36,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2997 2022-11-23T01:30:36.4545579Z [2022-11-23 01:28:36,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [] 2022-11-23T01:30:36.4545866Z [2022-11-23 01:28:36,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:30:36.4546184Z [2022-11-23 01:28:36,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:30:36.4546538Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4546934Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4547271Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4547650Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 3, 6) [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4548064Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4548497Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4548913Z [2022-11-23 01:28:36,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4549255Z [2022-11-23 01:28:36,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2998 2022-11-23T01:30:36.4549485Z [2022-11-23 01:28:36,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()] 2022-11-23T01:30:36.4549798Z [2022-11-23 01:28:36,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:30:36.4550141Z [2022-11-23 01:28:36,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:30:36.4550523Z [2022-11-23 01:28:36,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4550942Z [2022-11-23 01:28:36,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4551313Z [2022-11-23 01:28:36,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4551720Z [2022-11-23 01:28:36,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 5) [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4552163Z [2022-11-23 01:28:36,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4552595Z [2022-11-23 01:28:36,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4553045Z [2022-11-23 01:28:36,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4553355Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2999 2022-11-23T01:30:36.4553626Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4553964Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:30:36.4554335Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:30:36.4554738Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4555216Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4555619Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4556051Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4556549Z [2022-11-23 01:28:36,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4557020Z [2022-11-23 01:28:36,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4557494Z [2022-11-23 01:28:36,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4557805Z [2022-11-23 01:28:36,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3000 2022-11-23T01:30:36.4558105Z [2022-11-23 01:28:36,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4558469Z [2022-11-23 01:28:36,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:30:36.4558869Z [2022-11-23 01:28:36,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:30:36.4559310Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4559787Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4560303Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4560776Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4561271Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4561775Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4562313Z [2022-11-23 01:28:36,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4562629Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3001 2022-11-23T01:30:36.4562941Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4563370Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:30:36.4563804Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:30:36.4564279Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4564878Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4565336Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4565830Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 7) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4566358Z [2022-11-23 01:28:36,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4566882Z [2022-11-23 01:28:36,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:30:36.4567412Z [2022-11-23 01:28:36,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4567726Z [2022-11-23 01:28:36,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2996 2022-11-23T01:30:36.4568079Z [2022-11-23 01:28:36,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4568324Z [2022-11-23 01:28:36,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4568700Z [2022-11-23 01:28:36,871] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4568943Z [2022-11-23 01:28:36,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4569176Z [2022-11-23 01:28:36,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4569463Z [2022-11-23 01:28:36,873] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4569715Z [2022-11-23 01:28:36,877] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4569899Z [2022-11-23 01:28:36,877] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4570033Z __compiled_fn_417 .3316 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4570124Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4570467Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]} 2022-11-23T01:30:36.4570770Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]} 2022-11-23T01:30:36.4571072Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]} 2022-11-23T01:30:36.4571370Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]} 2022-11-23T01:30:36.4571657Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]} 2022-11-23T01:30:36.4571920Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {} 2022-11-23T01:30:36.4571943Z 2022-11-23T01:30:36.4572254Z [2022-11-23 01:28:36,877] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4572347Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4572438Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4572523Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4572618Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4572702Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4572790Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4572854Z 12 RETURN_VALUE 2022-11-23T01:30:36.4572859Z 2022-11-23T01:30:36.4572922Z 2022-11-23T01:30:36.4573243Z [2022-11-23 01:28:36,878] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4573353Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_417) 2022-11-23T01:30:36.4573443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4573534Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4573610Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4573695Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4573786Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4573913Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4574008Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4574094Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.4574188Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4574288Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4574375Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4574440Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.4574540Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4574626Z 28 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4574700Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4574799Z 32 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4574886Z 34 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4574960Z 36 BINARY_SUBSCR 2022-11-23T01:30:36.4575048Z 38 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4575165Z 40 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4575242Z 42 BINARY_SUBSCR 2022-11-23T01:30:36.4575339Z 44 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4575425Z 46 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4575499Z 48 BINARY_SUBSCR 2022-11-23T01:30:36.4575585Z 50 BUILD_TUPLE 5 2022-11-23T01:30:36.4575693Z 52 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4575792Z 54 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4575878Z 56 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4575953Z 58 BINARY_SUBSCR 2022-11-23T01:30:36.4576052Z 60 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4576141Z 62 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4576235Z 64 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4576323Z 66 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4576386Z 68 BINARY_SUBSCR 2022-11-23T01:30:36.4576483Z 70 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4576558Z 72 RETURN_VALUE 2022-11-23T01:30:36.4576563Z 2022-11-23T01:30:36.4576624Z 2022-11-23T01:30:36.4576808Z [2022-11-23 01:28:36,878] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4576877Z - 2022-11-23T01:30:36.4576997Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4577049Z { 2022-11-23T01:30:36.4577189Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4577376Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4577496Z 'obj_weakref': None 2022-11-23T01:30:36.4577721Z 'guarded_class': 2022-11-23T01:30:36.4577783Z } 2022-11-23T01:30:36.4577845Z 2022-11-23T01:30:36.4577903Z - 2022-11-23T01:30:36.4578026Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4578088Z { 2022-11-23T01:30:36.4578229Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4578335Z 'code': None, 2022-11-23T01:30:36.4578550Z 'obj_weakref': 2022-11-23T01:30:36.4578799Z 'guarded_class': 2022-11-23T01:30:36.4578853Z } 2022-11-23T01:30:36.4578917Z 2022-11-23T01:30:36.4578986Z - 2022-11-23T01:30:36.4579116Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4579180Z { 2022-11-23T01:30:36.4579314Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4579482Z 'code': ['___check_obj_id(model, 140533811206544)'], 2022-11-23T01:30:36.4579588Z 'obj_weakref': None 2022-11-23T01:30:36.4579820Z 'guarded_class': 2022-11-23T01:30:36.4579884Z } 2022-11-23T01:30:36.4579945Z 2022-11-23T01:30:36.4580014Z - 2022-11-23T01:30:36.4580134Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4580198Z { 2022-11-23T01:30:36.4580321Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4580535Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4580655Z 'obj_weakref': None 2022-11-23T01:30:36.4580878Z 'guarded_class': 2022-11-23T01:30:36.4580941Z } 2022-11-23T01:30:36.4581003Z 2022-11-23T01:30:36.4581070Z - 2022-11-23T01:30:36.4581237Z local 'model.__closure__[0].cell_contents' FUNCTION_MATCH 2022-11-23T01:30:36.4581299Z { 2022-11-23T01:30:36.4581457Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4581671Z 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140537355371760)'], 2022-11-23T01:30:36.4581904Z 'obj_weakref': 2022-11-23T01:30:36.4582151Z 'guarded_class': 2022-11-23T01:30:36.4582266Z } 2022-11-23T01:30:36.4582316Z 2022-11-23T01:30:36.4582578Z [2022-11-23 01:28:36,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409 2022-11-23T01:30:36.4582583Z 2022-11-23T01:30:36.4582676Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4582747Z import torch 2022-11-23T01:30:36.4582816Z import random 2022-11-23T01:30:36.4582930Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4583053Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4583058Z 2022-11-23T01:30:36.4583140Z aten = torch.ops.aten 2022-11-23T01:30:36.4583261Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4583353Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4583358Z 2022-11-23T01:30:36.4583362Z 2022-11-23T01:30:36.4583495Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4583701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4583822Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4583922Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4584019Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.4584114Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4584194Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.4584286Z float* __restrict__ out_ptr4) 2022-11-23T01:30:36.4584347Z { 2022-11-23T01:30:36.4584448Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4584511Z { 2022-11-23T01:30:36.4584587Z #pragma omp for 2022-11-23T01:30:36.4584669Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:30:36.4584719Z { 2022-11-23T01:30:36.4584798Z #pragma GCC ivdep 2022-11-23T01:30:36.4584881Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.4584944Z { 2022-11-23T01:30:36.4585026Z #pragma GCC ivdep 2022-11-23T01:30:36.4585117Z for(long i2=0; i2<5; i2+=1) 2022-11-23T01:30:36.4585169Z { 2022-11-23T01:30:36.4585236Z { 2022-11-23T01:30:36.4585304Z { 2022-11-23T01:30:36.4585421Z auto tmp0 = static_cast(((3 + (6*i1)) / 4)); 2022-11-23T01:30:36.4585538Z auto tmp1 = static_cast(((9 + (6*i1)) / 4)); 2022-11-23T01:30:36.4585632Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:36.4585750Z auto tmp3 = static_cast(((4 + (12*i2)) / 5)); 2022-11-23T01:30:36.4585869Z auto tmp4 = static_cast(((16 + (12*i2)) / 5)); 2022-11-23T01:30:36.4585948Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:36.4586039Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:36.4586126Z float tmp7 = 0.0; 2022-11-23T01:30:36.4586202Z if(tmp6) 2022-11-23T01:30:36.4586274Z { 2022-11-23T01:30:36.4586399Z auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:30:36.4586487Z tmp7 = tmp8; 2022-11-23T01:30:36.4586544Z } 2022-11-23T01:30:36.4586663Z auto tmp9 = static_cast(1 + (((4 + (12*i2)) / 5))); 2022-11-23T01:30:36.4586763Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:30:36.4586906Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:30:36.4586997Z float tmp12 = 0.0; 2022-11-23T01:30:36.4587074Z if(tmp11) 2022-11-23T01:30:36.4587146Z { 2022-11-23T01:30:36.4587273Z auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:30:36.4587377Z tmp12 = tmp13; 2022-11-23T01:30:36.4587446Z } 2022-11-23T01:30:36.4587543Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:30:36.4587664Z auto tmp15 = static_cast(2 + (((4 + (12*i2)) / 5))); 2022-11-23T01:30:36.4587761Z auto tmp16 = tmp15 < tmp4; 2022-11-23T01:30:36.4587856Z auto tmp17 = tmp2 & tmp16; 2022-11-23T01:30:36.4587943Z float tmp18 = 0.0; 2022-11-23T01:30:36.4588009Z if(tmp17) 2022-11-23T01:30:36.4588080Z { 2022-11-23T01:30:36.4588207Z auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:30:36.4588294Z tmp18 = tmp19; 2022-11-23T01:30:36.4588362Z } 2022-11-23T01:30:36.4588457Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:30:36.4588577Z auto tmp21 = static_cast(1 + (((3 + (6*i1)) / 4))); 2022-11-23T01:30:36.4588671Z auto tmp22 = tmp21 < tmp1; 2022-11-23T01:30:36.4588753Z auto tmp23 = tmp22 & tmp5; 2022-11-23T01:30:36.4588839Z float tmp24 = 0.0; 2022-11-23T01:30:36.4588915Z if(tmp23) 2022-11-23T01:30:36.4588986Z { 2022-11-23T01:30:36.4589114Z auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:30:36.4589199Z tmp24 = tmp25; 2022-11-23T01:30:36.4589266Z } 2022-11-23T01:30:36.4589350Z auto tmp26 = tmp24 + tmp20; 2022-11-23T01:30:36.4589446Z auto tmp27 = tmp22 & tmp10; 2022-11-23T01:30:36.4589532Z float tmp28 = 0.0; 2022-11-23T01:30:36.4589611Z if(tmp27) 2022-11-23T01:30:36.4589679Z { 2022-11-23T01:30:36.4589805Z auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:30:36.4589890Z tmp28 = tmp29; 2022-11-23T01:30:36.4589953Z } 2022-11-23T01:30:36.4590047Z auto tmp30 = tmp28 + tmp26; 2022-11-23T01:30:36.4590145Z auto tmp31 = tmp22 & tmp16; 2022-11-23T01:30:36.4590233Z float tmp32 = 0.0; 2022-11-23T01:30:36.4590309Z if(tmp31) 2022-11-23T01:30:36.4590377Z { 2022-11-23T01:30:36.4590502Z auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:30:36.4590586Z tmp32 = tmp33; 2022-11-23T01:30:36.4590644Z } 2022-11-23T01:30:36.4590737Z auto tmp34 = tmp32 + tmp30; 2022-11-23T01:30:36.4590843Z out_ptr0[i2 + (5*i1) + (20*i0)] = tmp34; 2022-11-23T01:30:36.4590911Z } 2022-11-23T01:30:36.4590977Z } 2022-11-23T01:30:36.4591040Z } 2022-11-23T01:30:36.4591102Z } 2022-11-23T01:30:36.4591152Z } 2022-11-23T01:30:36.4591228Z #pragma omp for 2022-11-23T01:30:36.4591336Z for(long i0=0; i0<27; i0+=1) 2022-11-23T01:30:36.4591403Z { 2022-11-23T01:30:36.4591481Z #pragma GCC ivdep 2022-11-23T01:30:36.4591563Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:30:36.4591613Z { 2022-11-23T01:30:36.4591677Z { 2022-11-23T01:30:36.4591742Z { 2022-11-23T01:30:36.4591848Z auto tmp0 = in_ptr0[(2*i1) + (24*i0)]; 2022-11-23T01:30:36.4591981Z auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)]; 2022-11-23T01:30:36.4592085Z auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)]; 2022-11-23T01:30:36.4592185Z auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)]; 2022-11-23T01:30:36.4592265Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:30:36.4592356Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:30:36.4592446Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:30:36.4592558Z auto tmp7 = static_cast(1.0); 2022-11-23T01:30:36.4592647Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:30:36.4592741Z out_ptr1[i1 + (6*i0)] = tmp8; 2022-11-23T01:30:36.4592808Z } 2022-11-23T01:30:36.4592872Z } 2022-11-23T01:30:36.4592923Z } 2022-11-23T01:30:36.4592984Z } 2022-11-23T01:30:36.4593059Z #pragma omp for 2022-11-23T01:30:36.4593140Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:30:36.4593204Z { 2022-11-23T01:30:36.4593281Z #pragma GCC ivdep 2022-11-23T01:30:36.4593350Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:36.4593414Z { 2022-11-23T01:30:36.4593493Z #pragma GCC ivdep 2022-11-23T01:30:36.4593581Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:30:36.4593645Z { 2022-11-23T01:30:36.4593709Z { 2022-11-23T01:30:36.4593777Z { 2022-11-23T01:30:36.4593875Z auto tmp0 = static_cast(3*i1); 2022-11-23T01:30:36.4593986Z auto tmp1 = static_cast(3 + (3*i1)); 2022-11-23T01:30:36.4594080Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:36.4594196Z auto tmp3 = static_cast(((7 + (12*i2)) / 8)); 2022-11-23T01:30:36.4594310Z auto tmp4 = static_cast(((19 + (12*i2)) / 8)); 2022-11-23T01:30:36.4594406Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:36.4594498Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:36.4594573Z float tmp7 = 0.0; 2022-11-23T01:30:36.4594648Z if(tmp6) 2022-11-23T01:30:36.4594716Z { 2022-11-23T01:30:36.4594836Z auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4594922Z tmp7 = tmp8; 2022-11-23T01:30:36.4594995Z } 2022-11-23T01:30:36.4595112Z auto tmp9 = static_cast(1 + (((7 + (12*i2)) / 8))); 2022-11-23T01:30:36.4595207Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:30:36.4595290Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:30:36.4595378Z float tmp12 = 0.0; 2022-11-23T01:30:36.4595452Z if(tmp11) 2022-11-23T01:30:36.4595523Z { 2022-11-23T01:30:36.4595642Z auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4595726Z tmp12 = tmp13; 2022-11-23T01:30:36.4595793Z } 2022-11-23T01:30:36.4595876Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:30:36.4595986Z auto tmp15 = static_cast(1 + (3*i1)); 2022-11-23T01:30:36.4596110Z auto tmp16 = tmp15 < tmp1; 2022-11-23T01:30:36.4596207Z auto tmp17 = tmp16 & tmp5; 2022-11-23T01:30:36.4596294Z float tmp18 = 0.0; 2022-11-23T01:30:36.4596369Z if(tmp17) 2022-11-23T01:30:36.4596437Z { 2022-11-23T01:30:36.4596544Z auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4596658Z tmp18 = tmp19; 2022-11-23T01:30:36.4596726Z } 2022-11-23T01:30:36.4596823Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:30:36.4596917Z auto tmp21 = tmp16 & tmp10; 2022-11-23T01:30:36.4597003Z float tmp22 = 0.0; 2022-11-23T01:30:36.4597078Z if(tmp21) 2022-11-23T01:30:36.4597146Z { 2022-11-23T01:30:36.4597254Z auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4597338Z tmp22 = tmp23; 2022-11-23T01:30:36.4597405Z } 2022-11-23T01:30:36.4597501Z auto tmp24 = tmp22 + tmp20; 2022-11-23T01:30:36.4597611Z auto tmp25 = static_cast(2 + (3*i1)); 2022-11-23T01:30:36.4597706Z auto tmp26 = tmp25 < tmp1; 2022-11-23T01:30:36.4597803Z auto tmp27 = tmp26 & tmp5; 2022-11-23T01:30:36.4597878Z float tmp28 = 0.0; 2022-11-23T01:30:36.4597955Z if(tmp27) 2022-11-23T01:30:36.4598023Z { 2022-11-23T01:30:36.4598142Z auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4598227Z tmp28 = tmp29; 2022-11-23T01:30:36.4598295Z } 2022-11-23T01:30:36.4598392Z auto tmp30 = tmp28 + tmp24; 2022-11-23T01:30:36.4598474Z auto tmp31 = tmp26 & tmp10; 2022-11-23T01:30:36.4598561Z float tmp32 = 0.0; 2022-11-23T01:30:36.4598637Z if(tmp31) 2022-11-23T01:30:36.4598705Z { 2022-11-23T01:30:36.4598821Z auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4598906Z tmp32 = tmp33; 2022-11-23T01:30:36.4598974Z } 2022-11-23T01:30:36.4599069Z auto tmp34 = tmp32 + tmp30; 2022-11-23T01:30:36.4599143Z float tmp35 = 0.0; 2022-11-23T01:30:36.4599219Z if(tmp6) 2022-11-23T01:30:36.4599286Z { 2022-11-23T01:30:36.4599408Z auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4599491Z tmp35 = tmp36; 2022-11-23T01:30:36.4599558Z } 2022-11-23T01:30:36.4599644Z float tmp37 = 0.0; 2022-11-23T01:30:36.4599707Z if(tmp11) 2022-11-23T01:30:36.4599776Z { 2022-11-23T01:30:36.4599897Z auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4600069Z tmp37 = tmp38; 2022-11-23T01:30:36.4600145Z } 2022-11-23T01:30:36.4600241Z auto tmp39 = tmp37 + tmp35; 2022-11-23T01:30:36.4600326Z float tmp40 = 0.0; 2022-11-23T01:30:36.4600390Z if(tmp17) 2022-11-23T01:30:36.4600458Z { 2022-11-23T01:30:36.4600609Z auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4600696Z tmp40 = tmp41; 2022-11-23T01:30:36.4600764Z } 2022-11-23T01:30:36.4600858Z auto tmp42 = tmp40 + tmp39; 2022-11-23T01:30:36.4600945Z float tmp43 = 0.0; 2022-11-23T01:30:36.4601008Z if(tmp21) 2022-11-23T01:30:36.4601077Z { 2022-11-23T01:30:36.4601225Z auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4601309Z tmp43 = tmp44; 2022-11-23T01:30:36.4601378Z } 2022-11-23T01:30:36.4601474Z auto tmp45 = tmp43 + tmp42; 2022-11-23T01:30:36.4601563Z float tmp46 = 0.0; 2022-11-23T01:30:36.4601639Z if(tmp27) 2022-11-23T01:30:36.4601695Z { 2022-11-23T01:30:36.4601815Z auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4601898Z tmp46 = tmp47; 2022-11-23T01:30:36.4601966Z } 2022-11-23T01:30:36.4602061Z auto tmp48 = tmp46 + tmp45; 2022-11-23T01:30:36.4602148Z float tmp49 = 0.0; 2022-11-23T01:30:36.4602223Z if(tmp31) 2022-11-23T01:30:36.4602282Z { 2022-11-23T01:30:36.4602401Z auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:30:36.4602485Z tmp49 = tmp50; 2022-11-23T01:30:36.4602553Z } 2022-11-23T01:30:36.4602648Z auto tmp51 = tmp49 + tmp48; 2022-11-23T01:30:36.4602751Z out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34; 2022-11-23T01:30:36.4602855Z out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51; 2022-11-23T01:30:36.4602909Z } 2022-11-23T01:30:36.4602976Z } 2022-11-23T01:30:36.4603040Z } 2022-11-23T01:30:36.4603104Z } 2022-11-23T01:30:36.4603165Z } 2022-11-23T01:30:36.4603241Z #pragma omp for 2022-11-23T01:30:36.4603323Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:30:36.4603372Z { 2022-11-23T01:30:36.4603452Z #pragma GCC ivdep 2022-11-23T01:30:36.4603534Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:30:36.4603596Z { 2022-11-23T01:30:36.4603676Z #pragma GCC ivdep 2022-11-23T01:30:36.4603764Z for(long i2=0; i2<7; i2+=1) 2022-11-23T01:30:36.4603829Z { 2022-11-23T01:30:36.4603882Z { 2022-11-23T01:30:36.4603947Z { 2022-11-23T01:30:36.4604064Z auto tmp0 = static_cast(((3 + (6*i1)) / 4)); 2022-11-23T01:30:36.4604183Z auto tmp1 = static_cast(((9 + (6*i1)) / 4)); 2022-11-23T01:30:36.4604279Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:30:36.4604396Z auto tmp3 = static_cast(((6 + (12*i2)) / 7)); 2022-11-23T01:30:36.4604512Z auto tmp4 = static_cast(((18 + (12*i2)) / 7)); 2022-11-23T01:30:36.4604596Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:30:36.4604693Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:30:36.4604877Z float tmp7 = 0.0; 2022-11-23T01:30:36.4604955Z if(tmp6) 2022-11-23T01:30:36.4605025Z { 2022-11-23T01:30:36.4605150Z auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:30:36.4605235Z tmp7 = tmp8; 2022-11-23T01:30:36.4605350Z } 2022-11-23T01:30:36.4605456Z auto tmp9 = static_cast(1 + (((6 + (12*i2)) / 7))); 2022-11-23T01:30:36.4605552Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:30:36.4605651Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:30:36.4605739Z float tmp12 = 0.0; 2022-11-23T01:30:36.4605816Z if(tmp11) 2022-11-23T01:30:36.4605919Z { 2022-11-23T01:30:36.4606047Z auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:30:36.4606120Z tmp12 = tmp13; 2022-11-23T01:30:36.4606188Z } 2022-11-23T01:30:36.4606284Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:30:36.4606404Z auto tmp15 = static_cast(1 + (((3 + (6*i1)) / 4))); 2022-11-23T01:30:36.4606504Z auto tmp16 = tmp15 < tmp1; 2022-11-23T01:30:36.4606598Z auto tmp17 = tmp16 & tmp5; 2022-11-23T01:30:36.4606687Z float tmp18 = 0.0; 2022-11-23T01:30:36.4606751Z if(tmp17) 2022-11-23T01:30:36.4606820Z { 2022-11-23T01:30:36.4606948Z auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:30:36.4607042Z tmp18 = tmp19; 2022-11-23T01:30:36.4607113Z } 2022-11-23T01:30:36.4607208Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:30:36.4607304Z auto tmp21 = tmp16 & tmp10; 2022-11-23T01:30:36.4607392Z float tmp22 = 0.0; 2022-11-23T01:30:36.4607455Z if(tmp21) 2022-11-23T01:30:36.4607524Z { 2022-11-23T01:30:36.4607655Z auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:30:36.4607740Z tmp22 = tmp23; 2022-11-23T01:30:36.4607809Z } 2022-11-23T01:30:36.4607904Z auto tmp24 = tmp22 + tmp20; 2022-11-23T01:30:36.4608007Z out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24; 2022-11-23T01:30:36.4608065Z } 2022-11-23T01:30:36.4608134Z } 2022-11-23T01:30:36.4608199Z } 2022-11-23T01:30:36.4608262Z } 2022-11-23T01:30:36.4608324Z } 2022-11-23T01:30:36.4608387Z } 2022-11-23T01:30:36.4608447Z } 2022-11-23T01:30:36.4608532Z ''') 2022-11-23T01:30:36.4608539Z 2022-11-23T01:30:36.4608543Z 2022-11-23T01:30:36.4608634Z async_compile.wait(globals()) 2022-11-23T01:30:36.4608708Z del async_compile 2022-11-23T01:30:36.4608713Z 2022-11-23T01:30:36.4608785Z def call(args): 2022-11-23T01:30:36.4608856Z arg0_1, = args 2022-11-23T01:30:36.4608947Z args.clear() 2022-11-23T01:30:36.4609163Z buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4609359Z buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4609564Z buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4609771Z buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4609975Z buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4610210Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:30:36.4610280Z del arg0_1 2022-11-23T01:30:36.4610376Z return (buf1, buf0, buf2, buf3, buf4, ) 2022-11-23T01:30:36.4610381Z 2022-11-23T01:30:36.4610427Z 2022-11-23T01:30:36.4610506Z if __name__ == "__main__": 2022-11-23T01:30:36.4610623Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4610732Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4610947Z arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4611054Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4611454Z [2022-11-23 01:28:38,800] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/my/cmybdlfh2ftpl5rx76zbnzgp5leupoalla6dltfi5u2lpearfiwg.py 2022-11-23T01:30:36.4611721Z [2022-11-23 01:28:38,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409 2022-11-23T01:30:36.4611726Z 2022-11-23T01:30:36.4611794Z ok (1.945s) 2022-11-23T01:30:36.4612115Z test_upsample_nearest2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:38,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4612432Z [2022-11-23 01:28:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4612649Z [2022-11-23 01:28:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4612888Z [2022-11-23 01:28:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4613168Z [2022-11-23 01:28:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4613488Z [2022-11-23 01:28:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4613832Z [2022-11-23 01:28:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4614156Z [2022-11-23 01:28:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4614533Z [2022-11-23 01:28:38,807] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4614628Z 2971 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4614744Z 2 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:30:36.4614834Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4614910Z 6 LOAD_CONST 1 (74) 2022-11-23T01:30:36.4614999Z 8 LOAD_CONST 2 (76) 2022-11-23T01:30:36.4615085Z 10 BUILD_LIST 2 2022-11-23T01:30:36.4615172Z 12 CALL_METHOD 2 2022-11-23T01:30:36.4615177Z 2022-11-23T01:30:36.4615270Z 2972 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4615382Z 16 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:30:36.4615472Z 18 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4615560Z 20 LOAD_CONST 3 (70) 2022-11-23T01:30:36.4615633Z 22 LOAD_CONST 4 (75) 2022-11-23T01:30:36.4615721Z 24 BUILD_LIST 2 2022-11-23T01:30:36.4615807Z 26 CALL_METHOD 2 2022-11-23T01:30:36.4615814Z 2022-11-23T01:30:36.4615905Z 2973 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4616013Z 30 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:30:36.4616101Z 32 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4616189Z 34 LOAD_CONST 5 (45) 2022-11-23T01:30:36.4616263Z 36 LOAD_CONST 1 (74) 2022-11-23T01:30:36.4616348Z 38 BUILD_LIST 2 2022-11-23T01:30:36.4616462Z 40 CALL_METHOD 2 2022-11-23T01:30:36.4616467Z 2022-11-23T01:30:36.4616559Z 2974 42 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4616666Z 44 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:30:36.4616755Z 46 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4616841Z 48 LOAD_CONST 6 (36) 2022-11-23T01:30:36.4616931Z 50 LOAD_CONST 7 (39) 2022-11-23T01:30:36.4617029Z 52 BUILD_LIST 2 2022-11-23T01:30:36.4617116Z 54 CALL_METHOD 2 2022-11-23T01:30:36.4617122Z 2022-11-23T01:30:36.4617212Z 2975 56 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4617318Z 58 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:30:36.4617403Z 60 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4617493Z 62 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4617583Z 64 LOAD_CONST 8 (2.0) 2022-11-23T01:30:36.4617670Z 66 LOAD_CONST 8 (2.0) 2022-11-23T01:30:36.4617742Z 68 BUILD_LIST 2 2022-11-23T01:30:36.4617825Z 70 CALL_METHOD 3 2022-11-23T01:30:36.4617829Z 2022-11-23T01:30:36.4617915Z 2970 72 BUILD_TUPLE 5 2022-11-23T01:30:36.4617991Z 74 RETURN_VALUE 2022-11-23T01:30:36.4618054Z 2022-11-23T01:30:36.4618059Z 2022-11-23T01:30:36.4618376Z [2022-11-23 01:28:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2971 2022-11-23T01:30:36.4618593Z [2022-11-23 01:28:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4618918Z [2022-11-23 01:28:38,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable()] 2022-11-23T01:30:36.4619180Z [2022-11-23 01:28:38,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:30:36.4619483Z [2022-11-23 01:28:38,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:30:36.4619822Z [2022-11-23 01:28:38,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4620202Z [2022-11-23 01:28:38,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4620530Z [2022-11-23 01:28:38,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4620843Z [2022-11-23 01:28:38,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2972 2022-11-23T01:30:36.4621088Z [2022-11-23 01:28:38,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.4621442Z [2022-11-23 01:28:38,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4621743Z [2022-11-23 01:28:38,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:30:36.4622074Z [2022-11-23 01:28:38,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:30:36.4622439Z [2022-11-23 01:28:38,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4622889Z [2022-11-23 01:28:38,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4623236Z [2022-11-23 01:28:38,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4623545Z [2022-11-23 01:28:38,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2973 2022-11-23T01:30:36.4623846Z [2022-11-23 01:28:38,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4624229Z [2022-11-23 01:28:38,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4624557Z [2022-11-23 01:28:38,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:30:36.4624914Z [2022-11-23 01:28:38,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:30:36.4625309Z [2022-11-23 01:28:38,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4625748Z [2022-11-23 01:28:38,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4626136Z [2022-11-23 01:28:38,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4626446Z [2022-11-23 01:28:38,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2974 2022-11-23T01:30:36.4626745Z [2022-11-23 01:28:38,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4627154Z [2022-11-23 01:28:38,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4627511Z [2022-11-23 01:28:38,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:30:36.4627885Z [2022-11-23 01:28:38,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:30:36.4628310Z [2022-11-23 01:28:38,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4628769Z [2022-11-23 01:28:38,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4629187Z [2022-11-23 01:28:38,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4629498Z [2022-11-23 01:28:38,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2975 2022-11-23T01:30:36.4629852Z [2022-11-23 01:28:38,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4630298Z [2022-11-23 01:28:38,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4630677Z [2022-11-23 01:28:38,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:30:36.4631136Z [2022-11-23 01:28:38,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:30:36.4631599Z [2022-11-23 01:28:38,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4632102Z [2022-11-23 01:28:38,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)] 2022-11-23T01:30:36.4632650Z [2022-11-23 01:28:38,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:30:36.4633145Z [2022-11-23 01:28:38,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:30:36.4633454Z [2022-11-23 01:28:38,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2970 2022-11-23T01:30:36.4633808Z [2022-11-23 01:28:38,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4634049Z [2022-11-23 01:28:38,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4634426Z [2022-11-23 01:28:38,844] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4634657Z [2022-11-23 01:28:38,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4634891Z [2022-11-23 01:28:38,844] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4635142Z [2022-11-23 01:28:38,846] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4635392Z [2022-11-23 01:28:38,849] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4635579Z [2022-11-23 01:28:38,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4635712Z __compiled_fn_418 .3322 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4635806Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4635952Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {} 2022-11-23T01:30:36.4636088Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {} 2022-11-23T01:30:36.4636229Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {} 2022-11-23T01:30:36.4636367Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {} 2022-11-23T01:30:36.4636545Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {} 2022-11-23T01:30:36.4636763Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {} 2022-11-23T01:30:36.4636771Z 2022-11-23T01:30:36.4637100Z [2022-11-23 01:28:38,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4637221Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4637312Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4637398Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4637478Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4637561Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4637648Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4637724Z 12 RETURN_VALUE 2022-11-23T01:30:36.4637732Z 2022-11-23T01:30:36.4637793Z 2022-11-23T01:30:36.4638118Z [2022-11-23 01:28:38,850] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4638225Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_418) 2022-11-23T01:30:36.4638315Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4638391Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4638470Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4638556Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4638659Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4638758Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4638845Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4638921Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4639008Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4639097Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4639171Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4639269Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4639356Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4639428Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4639527Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4639604Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4639678Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4639777Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4639861Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4639934Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4640100Z 42 BUILD_TUPLE 5 2022-11-23T01:30:36.4640179Z 44 RETURN_VALUE 2022-11-23T01:30:36.4640184Z 2022-11-23T01:30:36.4640232Z 2022-11-23T01:30:36.4640419Z [2022-11-23 01:28:38,851] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4640490Z - 2022-11-23T01:30:36.4640609Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4640673Z { 2022-11-23T01:30:36.4640812Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4640998Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4641104Z 'obj_weakref': None 2022-11-23T01:30:36.4641330Z 'guarded_class': 2022-11-23T01:30:36.4641394Z } 2022-11-23T01:30:36.4641459Z 2022-11-23T01:30:36.4641527Z - 2022-11-23T01:30:36.4641650Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4641714Z { 2022-11-23T01:30:36.4641842Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4641947Z 'code': None, 2022-11-23T01:30:36.4642189Z 'obj_weakref': 2022-11-23T01:30:36.4642444Z 'guarded_class': 2022-11-23T01:30:36.4642507Z } 2022-11-23T01:30:36.4642570Z 2022-11-23T01:30:36.4642638Z - 2022-11-23T01:30:36.4642754Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4642816Z { 2022-11-23T01:30:36.4642976Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4643142Z 'code': ['___check_obj_id(model, 140534625213968)'], 2022-11-23T01:30:36.4643260Z 'obj_weakref': None 2022-11-23T01:30:36.4643491Z 'guarded_class': 2022-11-23T01:30:36.4643554Z } 2022-11-23T01:30:36.4643604Z 2022-11-23T01:30:36.4643672Z - 2022-11-23T01:30:36.4643791Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4643856Z { 2022-11-23T01:30:36.4643993Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4644209Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4644324Z 'obj_weakref': None 2022-11-23T01:30:36.4644533Z 'guarded_class': 2022-11-23T01:30:36.4644596Z } 2022-11-23T01:30:36.4644660Z 2022-11-23T01:30:36.4644727Z - 2022-11-23T01:30:36.4644973Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4645036Z { 2022-11-23T01:30:36.4645157Z 'guard_types': None, 2022-11-23T01:30:36.4645249Z 'code': None, 2022-11-23T01:30:36.4645364Z 'obj_weakref': None 2022-11-23T01:30:36.4645483Z 'guarded_class': None 2022-11-23T01:30:36.4645547Z } 2022-11-23T01:30:36.4645610Z 2022-11-23T01:30:36.4645871Z [2022-11-23 01:28:38,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410 2022-11-23T01:30:36.4646241Z [2022-11-23 01:28:40,380] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ta/ctauv7wjkimxbr2eokdhxx37qs6dia6agu45ub3oaxjpnuh77izz.py 2022-11-23T01:30:36.4646507Z [2022-11-23 01:28:40,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410 2022-11-23T01:30:36.4646513Z 2022-11-23T01:30:36.4646597Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4646668Z import torch 2022-11-23T01:30:36.4646737Z import random 2022-11-23T01:30:36.4646852Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4646973Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4646978Z 2022-11-23T01:30:36.4647056Z aten = torch.ops.aten 2022-11-23T01:30:36.4647189Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4647268Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4647285Z 2022-11-23T01:30:36.4647292Z 2022-11-23T01:30:36.4647411Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4647615Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4647733Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4647832Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4647927Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.4648023Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4648116Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.4648195Z float* __restrict__ out_ptr4) 2022-11-23T01:30:36.4648255Z { 2022-11-23T01:30:36.4648352Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4648413Z { 2022-11-23T01:30:36.4648490Z #pragma omp for 2022-11-23T01:30:36.4648570Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4648633Z { 2022-11-23T01:30:36.4648752Z #pragma GCC ivdep 2022-11-23T01:30:36.4648841Z for(long i1=0; i1<74; i1+=1) 2022-11-23T01:30:36.4648905Z { 2022-11-23T01:30:36.4648989Z #pragma GCC ivdep 2022-11-23T01:30:36.4649078Z for(long i2=0; i2<76; i2+=1) 2022-11-23T01:30:36.4649142Z { 2022-11-23T01:30:36.4649208Z { 2022-11-23T01:30:36.4649263Z { 2022-11-23T01:30:36.4649406Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4649515Z auto tmp1 = static_cast(0.5); 2022-11-23T01:30:36.4649611Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4649717Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4649823Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4649916Z auto tmp5 = tmp4 * tmp1; 2022-11-23T01:30:36.4650012Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:30:36.4650129Z auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:30:36.4650232Z out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7; 2022-11-23T01:30:36.4650334Z out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7; 2022-11-23T01:30:36.4650403Z } 2022-11-23T01:30:36.4650469Z } 2022-11-23T01:30:36.4650534Z } 2022-11-23T01:30:36.4650585Z } 2022-11-23T01:30:36.4650648Z } 2022-11-23T01:30:36.4650725Z #pragma omp for 2022-11-23T01:30:36.4650805Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4650868Z { 2022-11-23T01:30:36.4650946Z #pragma GCC ivdep 2022-11-23T01:30:36.4651028Z for(long i1=0; i1<70; i1+=1) 2022-11-23T01:30:36.4651079Z { 2022-11-23T01:30:36.4651160Z #pragma GCC ivdep 2022-11-23T01:30:36.4651251Z for(long i2=0; i2<75; i2+=1) 2022-11-23T01:30:36.4651318Z { 2022-11-23T01:30:36.4651384Z { 2022-11-23T01:30:36.4651452Z { 2022-11-23T01:30:36.4651561Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4651663Z auto tmp1 = static_cast(0.5285714285714286); 2022-11-23T01:30:36.4651760Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4651870Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4651975Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4652089Z auto tmp5 = static_cast(0.5066666666666667); 2022-11-23T01:30:36.4652186Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.4652292Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:36.4652397Z auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:30:36.4652501Z out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8; 2022-11-23T01:30:36.4652569Z } 2022-11-23T01:30:36.4652638Z } 2022-11-23T01:30:36.4652702Z } 2022-11-23T01:30:36.4652766Z } 2022-11-23T01:30:36.4652829Z } 2022-11-23T01:30:36.4652893Z #pragma omp for 2022-11-23T01:30:36.4652973Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4653037Z { 2022-11-23T01:30:36.4653115Z #pragma GCC ivdep 2022-11-23T01:30:36.4653199Z for(long i1=0; i1<45; i1+=1) 2022-11-23T01:30:36.4653263Z { 2022-11-23T01:30:36.4653343Z #pragma GCC ivdep 2022-11-23T01:30:36.4653418Z for(long i2=0; i2<74; i2+=1) 2022-11-23T01:30:36.4653486Z { 2022-11-23T01:30:36.4653551Z { 2022-11-23T01:30:36.4653620Z { 2022-11-23T01:30:36.4653757Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4653873Z auto tmp1 = static_cast(0.8222222222222222); 2022-11-23T01:30:36.4653968Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4654060Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4654166Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4654322Z auto tmp5 = static_cast(0.5135135135135135); 2022-11-23T01:30:36.4654418Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.4654525Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:36.4654641Z auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:30:36.4654747Z out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8; 2022-11-23T01:30:36.4654815Z } 2022-11-23T01:30:36.4654868Z } 2022-11-23T01:30:36.4654936Z } 2022-11-23T01:30:36.4655000Z } 2022-11-23T01:30:36.4655063Z } 2022-11-23T01:30:36.4655140Z #pragma omp for 2022-11-23T01:30:36.4655220Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4655270Z { 2022-11-23T01:30:36.4655351Z #pragma GCC ivdep 2022-11-23T01:30:36.4655436Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:30:36.4655499Z { 2022-11-23T01:30:36.4655583Z #pragma GCC ivdep 2022-11-23T01:30:36.4655670Z for(long i2=0; i2<39; i2+=1) 2022-11-23T01:30:36.4655735Z { 2022-11-23T01:30:36.4655788Z { 2022-11-23T01:30:36.4655858Z { 2022-11-23T01:30:36.4655964Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4656078Z auto tmp1 = static_cast(1.0277777777777777); 2022-11-23T01:30:36.4656174Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4656282Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4656388Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4656489Z auto tmp5 = static_cast(0.9743589743589743); 2022-11-23T01:30:36.4656582Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.4656686Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:36.4656805Z auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:30:36.4656909Z out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8; 2022-11-23T01:30:36.4656977Z } 2022-11-23T01:30:36.4657043Z } 2022-11-23T01:30:36.4657108Z } 2022-11-23T01:30:36.4657160Z } 2022-11-23T01:30:36.4657221Z } 2022-11-23T01:30:36.4657285Z } 2022-11-23T01:30:36.4657345Z } 2022-11-23T01:30:36.4657429Z ''') 2022-11-23T01:30:36.4657437Z 2022-11-23T01:30:36.4657441Z 2022-11-23T01:30:36.4657531Z async_compile.wait(globals()) 2022-11-23T01:30:36.4657603Z del async_compile 2022-11-23T01:30:36.4657608Z 2022-11-23T01:30:36.4657665Z def call(args): 2022-11-23T01:30:36.4657734Z arg0_1, = args 2022-11-23T01:30:36.4657805Z args.clear() 2022-11-23T01:30:36.4658029Z buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4658249Z buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4658464Z buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4658678Z buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4658892Z buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4659144Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.4659215Z del arg0_1 2022-11-23T01:30:36.4659311Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:36.4659316Z 2022-11-23T01:30:36.4659321Z 2022-11-23T01:30:36.4659401Z if __name__ == "__main__": 2022-11-23T01:30:36.4659515Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4659666Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4659883Z arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4659989Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4659994Z 2022-11-23T01:30:36.4660047Z ok (1.582s) 2022-11-23T01:30:36.4660369Z test_upsample_nearest3d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4660687Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4660905Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4661159Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4661440Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4661760Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4662104Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4662428Z [2022-11-23 01:28:40,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4662799Z [2022-11-23 01:28:40,399] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4662882Z 2983 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4662993Z 2 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:30:36.4663086Z 4 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4663177Z 6 BUILD_LIST 0 2022-11-23T01:30:36.4663274Z 8 LOAD_CONST 1 ((74, 76, 78)) 2022-11-23T01:30:36.4663361Z 10 LIST_EXTEND 1 2022-11-23T01:30:36.4663452Z 12 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4663537Z 14 CALL_METHOD 3 2022-11-23T01:30:36.4663542Z 2022-11-23T01:30:36.4663623Z 2984 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4663734Z 18 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:30:36.4663823Z 20 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4663909Z 22 BUILD_LIST 0 2022-11-23T01:30:36.4664004Z 24 LOAD_CONST 2 ((70, 75, 80)) 2022-11-23T01:30:36.4664090Z 26 LIST_EXTEND 1 2022-11-23T01:30:36.4664180Z 28 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4664253Z 30 CALL_METHOD 3 2022-11-23T01:30:36.4664270Z 2022-11-23T01:30:36.4664348Z 2985 32 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4664455Z 34 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:30:36.4664545Z 36 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4664630Z 38 BUILD_LIST 0 2022-11-23T01:30:36.4664773Z 40 LOAD_CONST 3 ((45, 74, 103)) 2022-11-23T01:30:36.4664859Z 42 LIST_EXTEND 1 2022-11-23T01:30:36.4664951Z 44 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4665022Z 46 CALL_METHOD 3 2022-11-23T01:30:36.4665027Z 2022-11-23T01:30:36.4665116Z 2986 48 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4665224Z 50 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:30:36.4665341Z 52 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4665426Z 54 BUILD_LIST 0 2022-11-23T01:30:36.4665519Z 56 LOAD_CONST 4 ((36, 39, 40)) 2022-11-23T01:30:36.4665604Z 58 LIST_EXTEND 1 2022-11-23T01:30:36.4665680Z 60 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4665763Z 62 CALL_METHOD 3 2022-11-23T01:30:36.4665768Z 2022-11-23T01:30:36.4665857Z 2987 64 LOAD_GLOBAL 0 (aten) 2022-11-23T01:30:36.4665965Z 66 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:30:36.4666053Z 68 LOAD_FAST 0 (a) 2022-11-23T01:30:36.4666140Z 70 LOAD_CONST 0 (None) 2022-11-23T01:30:36.4666225Z 72 BUILD_LIST 0 2022-11-23T01:30:36.4666323Z 74 LOAD_CONST 5 ((2.0, 2.0, 2.0)) 2022-11-23T01:30:36.4666397Z 76 LIST_EXTEND 1 2022-11-23T01:30:36.4666480Z 78 CALL_METHOD 3 2022-11-23T01:30:36.4666485Z 2022-11-23T01:30:36.4666568Z 2982 80 BUILD_TUPLE 5 2022-11-23T01:30:36.4666646Z 82 RETURN_VALUE 2022-11-23T01:30:36.4666706Z 2022-11-23T01:30:36.4666711Z 2022-11-23T01:30:36.4667029Z [2022-11-23 01:28:40,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2983 2022-11-23T01:30:36.4667249Z [2022-11-23 01:28:40,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:30:36.4667577Z [2022-11-23 01:28:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable()] 2022-11-23T01:30:36.4667849Z [2022-11-23 01:28:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:30:36.4668141Z [2022-11-23 01:28:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:30:36.4668477Z [2022-11-23 01:28:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (74, 76, 78) [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4668846Z [2022-11-23 01:28:40,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4669175Z [2022-11-23 01:28:40,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4669547Z [2022-11-23 01:28:40,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4669858Z [2022-11-23 01:28:40,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2984 2022-11-23T01:30:36.4670100Z [2022-11-23 01:28:40,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:30:36.4670454Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4670805Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:30:36.4671139Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:30:36.4671502Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (70, 75, 80) [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4671926Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4672270Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4672676Z [2022-11-23 01:28:40,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4672989Z [2022-11-23 01:28:40,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2985 2022-11-23T01:30:36.4673257Z [2022-11-23 01:28:40,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4673640Z [2022-11-23 01:28:40,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4673965Z [2022-11-23 01:28:40,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:30:36.4674322Z [2022-11-23 01:28:40,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:30:36.4674716Z [2022-11-23 01:28:40,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (45, 74, 103) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4675145Z [2022-11-23 01:28:40,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4675534Z [2022-11-23 01:28:40,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4675970Z [2022-11-23 01:28:40,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4676280Z [2022-11-23 01:28:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2986 2022-11-23T01:30:36.4676578Z [2022-11-23 01:28:40,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4676991Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4677330Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:30:36.4677740Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:30:36.4678164Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (36, 39, 40) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4678619Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4679064Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4679535Z [2022-11-23 01:28:40,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4679844Z [2022-11-23 01:28:40,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2987 2022-11-23T01:30:36.4680250Z [2022-11-23 01:28:40,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4680698Z [2022-11-23 01:28:40,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.4681077Z [2022-11-23 01:28:40,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:30:36.4681497Z [2022-11-23 01:28:40,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:30:36.4681958Z [2022-11-23 01:28:40,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:30:36.4682461Z [2022-11-23 01:28:40,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2.0, 2.0, 2.0) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:30:36.4682995Z [2022-11-23 01:28:40,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.4683495Z [2022-11-23 01:28:40,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:30:36.4683809Z [2022-11-23 01:28:40,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2982 2022-11-23T01:30:36.4684163Z [2022-11-23 01:28:40,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4684396Z [2022-11-23 01:28:40,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4684936Z [2022-11-23 01:28:40,437] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4685185Z [2022-11-23 01:28:40,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4685418Z [2022-11-23 01:28:40,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4685671Z [2022-11-23 01:28:40,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4685958Z [2022-11-23 01:28:40,442] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4686146Z [2022-11-23 01:28:40,443] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4686280Z __compiled_fn_419 .3328 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4686370Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4686511Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {} 2022-11-23T01:30:36.4686666Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {} 2022-11-23T01:30:36.4686819Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {} 2022-11-23T01:30:36.4686971Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {} 2022-11-23T01:30:36.4687126Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {} 2022-11-23T01:30:36.4687342Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {} 2022-11-23T01:30:36.4687349Z 2022-11-23T01:30:36.4687672Z [2022-11-23 01:28:40,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4687766Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4687855Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4687932Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4688027Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4688111Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4688201Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4688276Z 12 RETURN_VALUE 2022-11-23T01:30:36.4688281Z 2022-11-23T01:30:36.4688341Z 2022-11-23T01:30:36.4688661Z [2022-11-23 01:28:40,443] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4688768Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_419) 2022-11-23T01:30:36.4688846Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4688934Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4689011Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4689096Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4689199Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4689301Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4689389Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4689452Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4689551Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4689637Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4689712Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4689812Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4689897Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4689972Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4690057Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4690144Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4690218Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4690317Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4690434Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.4690509Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4690597Z 42 BUILD_TUPLE 5 2022-11-23T01:30:36.4690658Z 44 RETURN_VALUE 2022-11-23T01:30:36.4690676Z 2022-11-23T01:30:36.4690724Z 2022-11-23T01:30:36.4690908Z [2022-11-23 01:28:40,444] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4690977Z - 2022-11-23T01:30:36.4691096Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4691187Z { 2022-11-23T01:30:36.4691326Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4691500Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4691619Z 'obj_weakref': None 2022-11-23T01:30:36.4691844Z 'guarded_class': 2022-11-23T01:30:36.4691908Z } 2022-11-23T01:30:36.4691970Z 2022-11-23T01:30:36.4692037Z - 2022-11-23T01:30:36.4692162Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4692212Z { 2022-11-23T01:30:36.4692355Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4692460Z 'code': None, 2022-11-23T01:30:36.4692669Z 'obj_weakref': 2022-11-23T01:30:36.4692921Z 'guarded_class': 2022-11-23T01:30:36.4692986Z } 2022-11-23T01:30:36.4693049Z 2022-11-23T01:30:36.4693105Z - 2022-11-23T01:30:36.4693233Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4693294Z { 2022-11-23T01:30:36.4693427Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4693594Z 'code': ['___check_obj_id(model, 140534620137376)'], 2022-11-23T01:30:36.4693711Z 'obj_weakref': None 2022-11-23T01:30:36.4693941Z 'guarded_class': 2022-11-23T01:30:36.4694006Z } 2022-11-23T01:30:36.4694056Z 2022-11-23T01:30:36.4694124Z - 2022-11-23T01:30:36.4694244Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4694306Z { 2022-11-23T01:30:36.4694440Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4694655Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4694762Z 'obj_weakref': None 2022-11-23T01:30:36.4694983Z 'guarded_class': 2022-11-23T01:30:36.4695045Z } 2022-11-23T01:30:36.4695108Z 2022-11-23T01:30:36.4695175Z - 2022-11-23T01:30:36.4695304Z global 'aten' FUNCTION_MATCH 2022-11-23T01:30:36.4695367Z { 2022-11-23T01:30:36.4695473Z 'guard_types': None, 2022-11-23T01:30:36.4695580Z 'code': None, 2022-11-23T01:30:36.4695697Z 'obj_weakref': None 2022-11-23T01:30:36.4695816Z 'guarded_class': None 2022-11-23T01:30:36.4695878Z } 2022-11-23T01:30:36.4695940Z 2022-11-23T01:30:36.4696199Z [2022-11-23 01:28:40,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411 2022-11-23T01:30:36.4696557Z [2022-11-23 01:28:42,031] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7omntfyenq4pcb7ivpiq4zf5oxgunmxfddd7yprkeqr6osc5kmd.py 2022-11-23T01:30:36.4696826Z [2022-11-23 01:28:42,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411 2022-11-23T01:30:36.4696831Z 2022-11-23T01:30:36.4696925Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4696993Z import torch 2022-11-23T01:30:36.4697062Z import random 2022-11-23T01:30:36.4697175Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4697324Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4697330Z 2022-11-23T01:30:36.4697409Z aten = torch.ops.aten 2022-11-23T01:30:36.4697530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4697623Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4697628Z 2022-11-23T01:30:36.4697633Z 2022-11-23T01:30:36.4697766Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4697970Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4698140Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4698240Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4698336Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.4698430Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.4698509Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.4698601Z float* __restrict__ out_ptr4) 2022-11-23T01:30:36.4698664Z { 2022-11-23T01:30:36.4698763Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4698824Z { 2022-11-23T01:30:36.4698901Z #pragma omp for 2022-11-23T01:30:36.4698986Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4699037Z { 2022-11-23T01:30:36.4699117Z #pragma GCC ivdep 2022-11-23T01:30:36.4699201Z for(long i1=0; i1<74; i1+=1) 2022-11-23T01:30:36.4699269Z { 2022-11-23T01:30:36.4699351Z #pragma GCC ivdep 2022-11-23T01:30:36.4699439Z for(long i2=0; i2<76; i2+=1) 2022-11-23T01:30:36.4699510Z { 2022-11-23T01:30:36.4699580Z #pragma GCC ivdep 2022-11-23T01:30:36.4699669Z for(long i3=0; i3<78; i3+=1) 2022-11-23T01:30:36.4699735Z { 2022-11-23T01:30:36.4699803Z { 2022-11-23T01:30:36.4699876Z { 2022-11-23T01:30:36.4699991Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4700102Z auto tmp1 = static_cast(0.5); 2022-11-23T01:30:36.4700186Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4700297Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4700402Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4700499Z auto tmp5 = tmp4 * tmp1; 2022-11-23T01:30:36.4700609Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:30:36.4700717Z auto tmp7 = static_cast(i3); 2022-11-23T01:30:36.4700814Z auto tmp8 = tmp7 * tmp1; 2022-11-23T01:30:36.4700908Z auto tmp9 = static_cast(tmp8); 2022-11-23T01:30:36.4701037Z auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:30:36.4701153Z out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10; 2022-11-23T01:30:36.4701265Z out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10; 2022-11-23T01:30:36.4701336Z } 2022-11-23T01:30:36.4701404Z } 2022-11-23T01:30:36.4701469Z } 2022-11-23T01:30:36.4701534Z } 2022-11-23T01:30:36.4701588Z } 2022-11-23T01:30:36.4701650Z } 2022-11-23T01:30:36.4701729Z #pragma omp for 2022-11-23T01:30:36.4701811Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4701875Z { 2022-11-23T01:30:36.4701954Z #pragma GCC ivdep 2022-11-23T01:30:36.4702039Z for(long i1=0; i1<70; i1+=1) 2022-11-23T01:30:36.4702091Z { 2022-11-23T01:30:36.4702171Z #pragma GCC ivdep 2022-11-23T01:30:36.4702265Z for(long i2=0; i2<75; i2+=1) 2022-11-23T01:30:36.4702330Z { 2022-11-23T01:30:36.4702439Z #pragma GCC ivdep 2022-11-23T01:30:36.4702535Z for(long i3=0; i3<80; i3+=1) 2022-11-23T01:30:36.4702588Z { 2022-11-23T01:30:36.4702656Z { 2022-11-23T01:30:36.4702725Z { 2022-11-23T01:30:36.4702837Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4702957Z auto tmp1 = static_cast(0.5285714285714286); 2022-11-23T01:30:36.4703089Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4703197Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4703303Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4703406Z auto tmp5 = static_cast(0.5066666666666667); 2022-11-23T01:30:36.4703501Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.4703614Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:36.4703719Z auto tmp8 = static_cast(i3); 2022-11-23T01:30:36.4703832Z auto tmp9 = static_cast(0.4875); 2022-11-23T01:30:36.4703929Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:30:36.4704041Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:30:36.4704173Z auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:30:36.4704270Z out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12; 2022-11-23T01:30:36.4704340Z } 2022-11-23T01:30:36.4704409Z } 2022-11-23T01:30:36.4704478Z } 2022-11-23T01:30:36.4704543Z } 2022-11-23T01:30:36.4704604Z } 2022-11-23T01:30:36.4704653Z } 2022-11-23T01:30:36.4704732Z #pragma omp for 2022-11-23T01:30:36.4704813Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4704877Z { 2022-11-23T01:30:36.4704956Z #pragma GCC ivdep 2022-11-23T01:30:36.4705038Z for(long i1=0; i1<45; i1+=1) 2022-11-23T01:30:36.4705100Z { 2022-11-23T01:30:36.4705169Z #pragma GCC ivdep 2022-11-23T01:30:36.4705257Z for(long i2=0; i2<74; i2+=1) 2022-11-23T01:30:36.4705323Z { 2022-11-23T01:30:36.4705404Z #pragma GCC ivdep 2022-11-23T01:30:36.4705497Z for(long i3=0; i3<103; i3+=1) 2022-11-23T01:30:36.4705562Z { 2022-11-23T01:30:36.4705629Z { 2022-11-23T01:30:36.4705685Z { 2022-11-23T01:30:36.4705793Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4705909Z auto tmp1 = static_cast(0.8222222222222222); 2022-11-23T01:30:36.4706009Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4706119Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4706224Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4706340Z auto tmp5 = static_cast(0.5135135135135135); 2022-11-23T01:30:36.4706437Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.4706534Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:36.4706638Z auto tmp8 = static_cast(i3); 2022-11-23T01:30:36.4706755Z auto tmp9 = static_cast(0.3786407766990291); 2022-11-23T01:30:36.4706853Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:30:36.4706962Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:30:36.4707128Z auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:30:36.4707242Z out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12; 2022-11-23T01:30:36.4707310Z } 2022-11-23T01:30:36.4707365Z } 2022-11-23T01:30:36.4707429Z } 2022-11-23T01:30:36.4707492Z } 2022-11-23T01:30:36.4707555Z } 2022-11-23T01:30:36.4707645Z } 2022-11-23T01:30:36.4707721Z #pragma omp for 2022-11-23T01:30:36.4707789Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4707851Z { 2022-11-23T01:30:36.4707928Z #pragma GCC ivdep 2022-11-23T01:30:36.4708012Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:30:36.4708074Z { 2022-11-23T01:30:36.4708154Z #pragma GCC ivdep 2022-11-23T01:30:36.4708242Z for(long i2=0; i2<39; i2+=1) 2022-11-23T01:30:36.4708294Z { 2022-11-23T01:30:36.4708378Z #pragma GCC ivdep 2022-11-23T01:30:36.4708469Z for(long i3=0; i3<40; i3+=1) 2022-11-23T01:30:36.4708536Z { 2022-11-23T01:30:36.4708603Z { 2022-11-23T01:30:36.4708675Z { 2022-11-23T01:30:36.4708783Z auto tmp0 = static_cast(i1); 2022-11-23T01:30:36.4708886Z auto tmp1 = static_cast(1.0277777777777777); 2022-11-23T01:30:36.4708986Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4709094Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:30:36.4709199Z auto tmp4 = static_cast(i2); 2022-11-23T01:30:36.4709314Z auto tmp5 = static_cast(0.9743589743589743); 2022-11-23T01:30:36.4709409Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:30:36.4709520Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:30:36.4709623Z auto tmp8 = static_cast(i3); 2022-11-23T01:30:36.4709722Z auto tmp9 = static_cast(0.975); 2022-11-23T01:30:36.4709818Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:30:36.4709929Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:30:36.4710060Z auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:30:36.4710171Z out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12; 2022-11-23T01:30:36.4710241Z } 2022-11-23T01:30:36.4710309Z } 2022-11-23T01:30:36.4710362Z } 2022-11-23T01:30:36.4710426Z } 2022-11-23T01:30:36.4710488Z } 2022-11-23T01:30:36.4710549Z } 2022-11-23T01:30:36.4710609Z } 2022-11-23T01:30:36.4710667Z } 2022-11-23T01:30:36.4710753Z ''') 2022-11-23T01:30:36.4710760Z 2022-11-23T01:30:36.4710764Z 2022-11-23T01:30:36.4710840Z async_compile.wait(globals()) 2022-11-23T01:30:36.4710912Z del async_compile 2022-11-23T01:30:36.4710917Z 2022-11-23T01:30:36.4710986Z def call(args): 2022-11-23T01:30:36.4711055Z arg0_1, = args 2022-11-23T01:30:36.4711124Z args.clear() 2022-11-23T01:30:36.4711361Z buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4711599Z buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4711832Z buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4712053Z buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4712312Z buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4712551Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.4712620Z del arg0_1 2022-11-23T01:30:36.4712715Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:30:36.4712720Z 2022-11-23T01:30:36.4712724Z 2022-11-23T01:30:36.4712832Z if __name__ == "__main__": 2022-11-23T01:30:36.4712944Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4713065Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4713299Z arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4713393Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4713397Z 2022-11-23T01:30:36.4713464Z ok (1.854s) 2022-11-23T01:30:36.4713772Z test_var_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:28:42,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4714087Z [2022-11-23 01:28:42,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4714303Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4714555Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4714834Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4715153Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4715501Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4715812Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4716186Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4716279Z 2192 0 BUILD_LIST 0 2022-11-23T01:30:36.4716284Z 2022-11-23T01:30:36.4716377Z 2193 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4716474Z 4 LOAD_METHOD 1 (var_mean) 2022-11-23T01:30:36.4716564Z 6 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4716699Z 8 LOAD_CONST 1 (-1) 2022-11-23T01:30:36.4716788Z 10 CALL_METHOD 2 2022-11-23T01:30:36.4716793Z 2022-11-23T01:30:36.4716881Z 2192 12 LIST_EXTEND 1 2022-11-23T01:30:36.4716885Z 2022-11-23T01:30:36.4716966Z 2194 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4717061Z 16 LOAD_METHOD 1 (var_mean) 2022-11-23T01:30:36.4717149Z 18 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4717236Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4717323Z 22 LOAD_CONST 3 (3) 2022-11-23T01:30:36.4717409Z 24 BUILD_LIST 2 2022-11-23T01:30:36.4717494Z 26 CALL_METHOD 2 2022-11-23T01:30:36.4717498Z 2022-11-23T01:30:36.4717582Z 2192 28 LIST_EXTEND 1 2022-11-23T01:30:36.4717646Z 30 LIST_TO_TUPLE 2022-11-23T01:30:36.4717720Z 32 RETURN_VALUE 2022-11-23T01:30:36.4717780Z 2022-11-23T01:30:36.4717784Z 2022-11-23T01:30:36.4718125Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192 2022-11-23T01:30:36.4718341Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:30:36.4718652Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2193 2022-11-23T01:30:36.4718893Z [2022-11-23 01:28:42,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()] 2022-11-23T01:30:36.4719320Z [2022-11-23 01:28:42,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable()] 2022-11-23T01:30:36.4719670Z [2022-11-23 01:28:42,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable()] 2022-11-23T01:30:36.4720113Z [2022-11-23 01:28:42,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4720541Z [2022-11-23 01:28:42,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4720853Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192 2022-11-23T01:30:36.4721118Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()] 2022-11-23T01:30:36.4721427Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2194 2022-11-23T01:30:36.4721669Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()] 2022-11-23T01:30:36.4722065Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable()] 2022-11-23T01:30:36.4722413Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable()] 2022-11-23T01:30:36.4722794Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ListVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4723211Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ListVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4723667Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [ListVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.4724080Z [2022-11-23 01:28:42,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.4724393Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192 2022-11-23T01:30:36.4724643Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()] 2022-11-23T01:30:36.4725002Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [ListVariable()] 2022-11-23T01:30:36.4725246Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4725674Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4725921Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4726154Z [2022-11-23 01:28:42,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4726446Z [2022-11-23 01:28:42,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4726695Z [2022-11-23 01:28:42,254] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4726882Z [2022-11-23 01:28:42,254] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4727016Z __compiled_fn_420 .3334 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4727093Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4727337Z call_function, var_mean, , (ex_0_, -1), {} 2022-11-23T01:30:36.4727528Z call_function, getitem, , (var_mean, 0), {} 2022-11-23T01:30:36.4727722Z call_function, getitem_1, , (var_mean, 1), {} 2022-11-23T01:30:36.4727966Z call_function, var_mean_1, , (ex_0_, [1, 3]), {} 2022-11-23T01:30:36.4728162Z call_function, getitem_2, , (var_mean_1, 0), {} 2022-11-23T01:30:36.4728356Z call_function, getitem_3, , (var_mean_1, 1), {} 2022-11-23T01:30:36.4728488Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:30:36.4728493Z 2022-11-23T01:30:36.4728807Z [2022-11-23 01:28:42,254] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4728904Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4728995Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4729082Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4729174Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4729258Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4729345Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4729424Z 12 RETURN_VALUE 2022-11-23T01:30:36.4729429Z 2022-11-23T01:30:36.4729478Z 2022-11-23T01:30:36.4729800Z [2022-11-23 01:28:42,254] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4729908Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_420) 2022-11-23T01:30:36.4729995Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4730083Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4730161Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4730247Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4730336Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4730437Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4730524Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4730603Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.4730703Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4730793Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4730869Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.4730954Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4731039Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4731114Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.4731213Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4731301Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.4731407Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.4731495Z 36 BUILD_TUPLE 4 2022-11-23T01:30:36.4731569Z 38 RETURN_VALUE 2022-11-23T01:30:36.4731575Z 2022-11-23T01:30:36.4731623Z 2022-11-23T01:30:36.4731804Z [2022-11-23 01:28:42,255] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4731872Z - 2022-11-23T01:30:36.4731989Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4732082Z { 2022-11-23T01:30:36.4732220Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4732406Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4732511Z 'obj_weakref': None 2022-11-23T01:30:36.4732738Z 'guarded_class': 2022-11-23T01:30:36.4732802Z } 2022-11-23T01:30:36.4732863Z 2022-11-23T01:30:36.4732931Z - 2022-11-23T01:30:36.4733056Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4733118Z { 2022-11-23T01:30:36.4733247Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4733352Z 'code': None, 2022-11-23T01:30:36.4733565Z 'obj_weakref': 2022-11-23T01:30:36.4733815Z 'guarded_class': 2022-11-23T01:30:36.4733881Z } 2022-11-23T01:30:36.4733944Z 2022-11-23T01:30:36.4734012Z - 2022-11-23T01:30:36.4734128Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4734191Z { 2022-11-23T01:30:36.4734324Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4734491Z 'code': ['___check_obj_id(model, 140533808925856)'], 2022-11-23T01:30:36.4734607Z 'obj_weakref': None 2022-11-23T01:30:36.4734838Z 'guarded_class': 2022-11-23T01:30:36.4734902Z } 2022-11-23T01:30:36.4734952Z 2022-11-23T01:30:36.4735021Z - 2022-11-23T01:30:36.4735141Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4735208Z { 2022-11-23T01:30:36.4735343Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4735557Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4735677Z 'obj_weakref': None 2022-11-23T01:30:36.4735886Z 'guarded_class': 2022-11-23T01:30:36.4735949Z } 2022-11-23T01:30:36.4736013Z 2022-11-23T01:30:36.4736082Z - 2022-11-23T01:30:36.4736213Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4736277Z { 2022-11-23T01:30:36.4736395Z 'guard_types': None, 2022-11-23T01:30:36.4736487Z 'code': None, 2022-11-23T01:30:36.4736606Z 'obj_weakref': None 2022-11-23T01:30:36.4736727Z 'guarded_class': None 2022-11-23T01:30:36.4736792Z } 2022-11-23T01:30:36.4736855Z 2022-11-23T01:30:36.4737112Z [2022-11-23 01:28:42,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412 2022-11-23T01:30:36.4737118Z 2022-11-23T01:30:36.4737212Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4737270Z import torch 2022-11-23T01:30:36.4737339Z import random 2022-11-23T01:30:36.4737454Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4737576Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4737582Z 2022-11-23T01:30:36.4737660Z aten = torch.ops.aten 2022-11-23T01:30:36.4737793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4737885Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4737890Z 2022-11-23T01:30:36.4737894Z 2022-11-23T01:30:36.4738056Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4738253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4738368Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:30:36.4738474Z float* __restrict__ in_out_ptr1, 2022-11-23T01:30:36.4738574Z float* __restrict__ in_out_ptr2, 2022-11-23T01:30:36.4738673Z float* __restrict__ in_out_ptr3, 2022-11-23T01:30:36.4738804Z const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4738903Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4738986Z float* __restrict__ out_ptr3) 2022-11-23T01:30:36.4739048Z { 2022-11-23T01:30:36.4739134Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:30:36.4739217Z auto out_ptr2 = in_out_ptr1; 2022-11-23T01:30:36.4739298Z auto out_ptr4 = in_out_ptr2; 2022-11-23T01:30:36.4739379Z auto out_ptr5 = in_out_ptr3; 2022-11-23T01:30:36.4739478Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4739527Z { 2022-11-23T01:30:36.4739602Z #pragma omp for 2022-11-23T01:30:36.4739683Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4739747Z { 2022-11-23T01:30:36.4739810Z { 2022-11-23T01:30:36.4740026Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.4740106Z float tmp1 = 0; 2022-11-23T01:30:36.4740216Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.4740305Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.4740370Z { 2022-11-23T01:30:36.4740512Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.4740592Z tmp1_vec += tmp0; 2022-11-23T01:30:36.4740657Z } 2022-11-23T01:30:36.4740854Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.4740975Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.4741050Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.4741115Z { 2022-11-23T01:30:36.4741212Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.4741290Z tmp1 += tmp0; 2022-11-23T01:30:36.4741360Z } 2022-11-23T01:30:36.4741442Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.4741505Z } 2022-11-23T01:30:36.4741555Z } 2022-11-23T01:30:36.4741631Z #pragma omp for 2022-11-23T01:30:36.4741712Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:30:36.4741774Z { 2022-11-23T01:30:36.4741838Z { 2022-11-23T01:30:36.4742024Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.4742104Z float tmp6 = 0; 2022-11-23T01:30:36.4742210Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.4742288Z float tmp7 = 0; 2022-11-23T01:30:36.4742408Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.4742497Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.4742560Z { 2022-11-23T01:30:36.4742703Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:30:36.4742829Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:30:36.4742966Z auto tmp2 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.4743044Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.4743182Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.4743271Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.4743383Z tmp6_vec += tmp5; 2022-11-23T01:30:36.4743467Z tmp7_vec += tmp0; 2022-11-23T01:30:36.4743531Z } 2022-11-23T01:30:36.4743726Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.4743921Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:36.4744074Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:36.4744164Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:30:36.4744227Z { 2022-11-23T01:30:36.4744327Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:30:36.4744417Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:30:36.4744518Z auto tmp2 = static_cast(8); 2022-11-23T01:30:36.4744611Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.4744745Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.4744821Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.4744899Z tmp6 += tmp5; 2022-11-23T01:30:36.4744974Z tmp7 += tmp0; 2022-11-23T01:30:36.4745037Z } 2022-11-23T01:30:36.4745118Z out_ptr1[i0] = tmp6; 2022-11-23T01:30:36.4745198Z out_ptr2[i0] = tmp7; 2022-11-23T01:30:36.4745251Z } 2022-11-23T01:30:36.4745312Z } 2022-11-23T01:30:36.4745387Z #pragma omp for 2022-11-23T01:30:36.4745467Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.4745529Z { 2022-11-23T01:30:36.4745591Z { 2022-11-23T01:30:36.4745778Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.4745855Z float tmp1 = 0; 2022-11-23T01:30:36.4745965Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:30:36.4746053Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:36.4746118Z { 2022-11-23T01:30:36.4746206Z for(long i2=0; i2<1; i2+=1) 2022-11-23T01:30:36.4746273Z { 2022-11-23T01:30:36.4746422Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1)); 2022-11-23T01:30:36.4746509Z tmp1_vec += tmp0; 2022-11-23T01:30:36.4746563Z } 2022-11-23T01:30:36.4746758Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:30:36.4746877Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:30:36.4746968Z for(long i2=8; i2<8; i2+=1) 2022-11-23T01:30:36.4747035Z { 2022-11-23T01:30:36.4747142Z auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)]; 2022-11-23T01:30:36.4747220Z tmp1 += tmp0; 2022-11-23T01:30:36.4747285Z } 2022-11-23T01:30:36.4747336Z } 2022-11-23T01:30:36.4747417Z out_ptr3[i0] = tmp1; 2022-11-23T01:30:36.4747480Z } 2022-11-23T01:30:36.4747544Z } 2022-11-23T01:30:36.4747621Z #pragma omp for 2022-11-23T01:30:36.4747700Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.4747752Z { 2022-11-23T01:30:36.4747814Z { 2022-11-23T01:30:36.4747999Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:30:36.4748079Z float tmp6 = 0; 2022-11-23T01:30:36.4748199Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:30:36.4748275Z float tmp7 = 0; 2022-11-23T01:30:36.4748395Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:30:36.4748523Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:30:36.4748577Z { 2022-11-23T01:30:36.4748665Z for(long i2=0; i2<1; i2+=1) 2022-11-23T01:30:36.4748731Z { 2022-11-23T01:30:36.4748879Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1)); 2022-11-23T01:30:36.4749007Z auto tmp1 = at::vec::Vectorized(out_ptr3[i0]); 2022-11-23T01:30:36.4749175Z auto tmp2 = at::vec::Vectorized(static_cast(16)); 2022-11-23T01:30:36.4749268Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.4749410Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.4749492Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:30:36.4749576Z tmp6_vec += tmp5; 2022-11-23T01:30:36.4749659Z tmp7_vec += tmp0; 2022-11-23T01:30:36.4749725Z } 2022-11-23T01:30:36.4749923Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:30:36.4750112Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:30:36.4750253Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:30:36.4750345Z for(long i2=8; i2<8; i2+=1) 2022-11-23T01:30:36.4750398Z { 2022-11-23T01:30:36.4750505Z auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)]; 2022-11-23T01:30:36.4750597Z auto tmp1 = out_ptr3[i0]; 2022-11-23T01:30:36.4750705Z auto tmp2 = static_cast(16); 2022-11-23T01:30:36.4750797Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:30:36.4750933Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:30:36.4751026Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:30:36.4751104Z tmp6 += tmp5; 2022-11-23T01:30:36.4751169Z tmp7 += tmp0; 2022-11-23T01:30:36.4751234Z } 2022-11-23T01:30:36.4751298Z } 2022-11-23T01:30:36.4751378Z out_ptr4[i0] = tmp6; 2022-11-23T01:30:36.4751455Z out_ptr5[i0] = tmp7; 2022-11-23T01:30:36.4751522Z } 2022-11-23T01:30:36.4751572Z } 2022-11-23T01:30:36.4751648Z #pragma omp for 2022-11-23T01:30:36.4751728Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.4751789Z { 2022-11-23T01:30:36.4751921Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:30:36.4752052Z auto tmp1 = at::vec::Vectorized(static_cast(7)); 2022-11-23T01:30:36.4752136Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.4752231Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:30:36.4752282Z } 2022-11-23T01:30:36.4752376Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4752455Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.4752516Z { 2022-11-23T01:30:36.4752599Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:30:36.4752696Z auto tmp1 = static_cast(7); 2022-11-23T01:30:36.4752767Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.4752848Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.4752910Z } 2022-11-23T01:30:36.4752986Z #pragma omp for 2022-11-23T01:30:36.4753065Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.4753126Z { 2022-11-23T01:30:36.4753255Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + 8*i0); 2022-11-23T01:30:36.4753383Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:30:36.4753454Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.4753548Z tmp2.store(in_out_ptr1 + 8*i0); 2022-11-23T01:30:36.4753638Z } 2022-11-23T01:30:36.4753734Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4753813Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.4753875Z { 2022-11-23T01:30:36.4753947Z auto tmp0 = out_ptr2[i0]; 2022-11-23T01:30:36.4754043Z auto tmp1 = static_cast(8); 2022-11-23T01:30:36.4754124Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.4754234Z in_out_ptr1[i0] = tmp2; 2022-11-23T01:30:36.4754296Z } 2022-11-23T01:30:36.4754372Z #pragma omp for 2022-11-23T01:30:36.4754452Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.4754500Z { 2022-11-23T01:30:36.4754564Z { 2022-11-23T01:30:36.4754628Z { 2022-11-23T01:30:36.4754720Z auto tmp0 = out_ptr4[i0]; 2022-11-23T01:30:36.4754822Z auto tmp1 = static_cast(15); 2022-11-23T01:30:36.4754913Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.4755004Z in_out_ptr2[i0] = tmp2; 2022-11-23T01:30:36.4755055Z } 2022-11-23T01:30:36.4755119Z } 2022-11-23T01:30:36.4755180Z } 2022-11-23T01:30:36.4755254Z #pragma omp for 2022-11-23T01:30:36.4755333Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.4755394Z { 2022-11-23T01:30:36.4755457Z { 2022-11-23T01:30:36.4755508Z { 2022-11-23T01:30:36.4755602Z auto tmp0 = out_ptr5[i0]; 2022-11-23T01:30:36.4755705Z auto tmp1 = static_cast(16); 2022-11-23T01:30:36.4755796Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:30:36.4755883Z in_out_ptr3[i0] = tmp2; 2022-11-23T01:30:36.4755947Z } 2022-11-23T01:30:36.4756009Z } 2022-11-23T01:30:36.4756058Z } 2022-11-23T01:30:36.4756118Z } 2022-11-23T01:30:36.4756178Z } 2022-11-23T01:30:36.4756257Z ''') 2022-11-23T01:30:36.4756262Z 2022-11-23T01:30:36.4756266Z 2022-11-23T01:30:36.4756357Z async_compile.wait(globals()) 2022-11-23T01:30:36.4756429Z del async_compile 2022-11-23T01:30:36.4756433Z 2022-11-23T01:30:36.4756503Z def call(args): 2022-11-23T01:30:36.4756560Z arg0_1, = args 2022-11-23T01:30:36.4756630Z args.clear() 2022-11-23T01:30:36.4756838Z buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4757039Z buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4757238Z buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4757439Z buf3 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4757625Z buf4 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4757800Z buf5 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4757886Z buf6 = buf1; del buf1 # reuse 2022-11-23T01:30:36.4757969Z buf7 = buf2; del buf2 # reuse 2022-11-23T01:30:36.4758051Z buf8 = buf4; del buf4 # reuse 2022-11-23T01:30:36.4758130Z buf9 = buf5; del buf5 # reuse 2022-11-23T01:30:36.4758386Z kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:30:36.4758454Z del arg0_1 2022-11-23T01:30:36.4758544Z return (buf6, buf7, buf8, buf9, ) 2022-11-23T01:30:36.4758549Z 2022-11-23T01:30:36.4758553Z 2022-11-23T01:30:36.4758616Z if __name__ == "__main__": 2022-11-23T01:30:36.4758732Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4758853Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4759060Z arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4759168Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.4759573Z [2022-11-23 01:28:43,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4o/c4ov2qtgkplizcdxtgwa2jwranedk2rsaqgq2tsann5ufjrnkmd4.py 2022-11-23T01:30:36.4759840Z [2022-11-23 01:28:43,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412 2022-11-23T01:30:36.4759845Z 2022-11-23T01:30:36.4759913Z ok (1.602s) 2022-11-23T01:30:36.4760309Z test_vdd_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4760674Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4760891Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4761144Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4761421Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4761739Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4762084Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4762407Z [2022-11-23 01:28:43,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4762782Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4762878Z 4372 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.4762979Z 2 LOAD_METHOD 1 (clamp_min) 2022-11-23T01:30:36.4763057Z 4 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4763145Z 6 LOAD_CONST 1 (3) 2022-11-23T01:30:36.4763233Z 8 CALL_METHOD 2 2022-11-23T01:30:36.4763308Z 10 RETURN_VALUE 2022-11-23T01:30:36.4763368Z 2022-11-23T01:30:36.4763373Z 2022-11-23T01:30:36.4763685Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4372 2022-11-23T01:30:36.4763906Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.4764276Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable()] 2022-11-23T01:30:36.4764593Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:30:36.4765076Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:30:36.4765477Z [2022-11-23 01:28:43,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4765725Z [2022-11-23 01:28:43,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4766111Z [2022-11-23 01:28:43,848] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4766400Z [2022-11-23 01:28:43,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4766638Z [2022-11-23 01:28:43,848] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4766887Z [2022-11-23 01:28:43,849] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4767138Z [2022-11-23 01:28:43,852] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4767366Z [2022-11-23 01:28:43,852] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4767501Z __compiled_fn_421 .3340 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4767578Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4767821Z call_function, clamp_min, , (ex_0_, 3), {} 2022-11-23T01:30:36.4767926Z output, output, output, ((clamp_min,),), {} 2022-11-23T01:30:36.4767931Z 2022-11-23T01:30:36.4768257Z [2022-11-23 01:28:43,853] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4768350Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4768439Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4768526Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4768617Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4768688Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4768776Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4768853Z 12 RETURN_VALUE 2022-11-23T01:30:36.4768858Z 2022-11-23T01:30:36.4768918Z 2022-11-23T01:30:36.4769241Z [2022-11-23 01:28:43,853] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4769348Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_421) 2022-11-23T01:30:36.4769437Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4769516Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4769593Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4769679Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.4769770Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.4769845Z 12 RETURN_VALUE 2022-11-23T01:30:36.4769850Z 2022-11-23T01:30:36.4769910Z 2022-11-23T01:30:36.4770091Z [2022-11-23 01:28:43,853] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4770162Z - 2022-11-23T01:30:36.4770266Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4770330Z { 2022-11-23T01:30:36.4770469Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4770654Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.4770773Z 'obj_weakref': None 2022-11-23T01:30:36.4771000Z 'guarded_class': 2022-11-23T01:30:36.4771066Z } 2022-11-23T01:30:36.4771116Z 2022-11-23T01:30:36.4771185Z - 2022-11-23T01:30:36.4771310Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4771373Z { 2022-11-23T01:30:36.4771517Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4771623Z 'code': None, 2022-11-23T01:30:36.4771820Z 'obj_weakref': 2022-11-23T01:30:36.4772075Z 'guarded_class': 2022-11-23T01:30:36.4772139Z } 2022-11-23T01:30:36.4772202Z 2022-11-23T01:30:36.4772274Z - 2022-11-23T01:30:36.4772402Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4772465Z { 2022-11-23T01:30:36.4772584Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4772750Z 'code': ['___check_obj_id(model, 140534418250704)'], 2022-11-23T01:30:36.4772899Z 'obj_weakref': None 2022-11-23T01:30:36.4773132Z 'guarded_class': 2022-11-23T01:30:36.4773199Z } 2022-11-23T01:30:36.4773264Z 2022-11-23T01:30:36.4773333Z - 2022-11-23T01:30:36.4773443Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4773508Z { 2022-11-23T01:30:36.4773673Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4773886Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4774002Z 'obj_weakref': None 2022-11-23T01:30:36.4774223Z 'guarded_class': 2022-11-23T01:30:36.4774287Z } 2022-11-23T01:30:36.4774349Z 2022-11-23T01:30:36.4774404Z - 2022-11-23T01:30:36.4774539Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.4774606Z { 2022-11-23T01:30:36.4774725Z 'guard_types': None, 2022-11-23T01:30:36.4774831Z 'code': None, 2022-11-23T01:30:36.4774948Z 'obj_weakref': None 2022-11-23T01:30:36.4775054Z 'guarded_class': None 2022-11-23T01:30:36.4775118Z } 2022-11-23T01:30:36.4775181Z 2022-11-23T01:30:36.4775441Z [2022-11-23 01:28:43,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413 2022-11-23T01:30:36.4775812Z [2022-11-23 01:28:45,307] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4d2dloouiywnhvihvqaa7t77wpuaavt747nbd2otxeblccmv62.py 2022-11-23T01:30:36.4776076Z [2022-11-23 01:28:45,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413 2022-11-23T01:30:36.4776080Z 2022-11-23T01:30:36.4776174Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4776243Z import torch 2022-11-23T01:30:36.4776299Z import random 2022-11-23T01:30:36.4776417Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4776539Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4776544Z 2022-11-23T01:30:36.4776624Z aten = torch.ops.aten 2022-11-23T01:30:36.4776758Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4776850Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4776855Z 2022-11-23T01:30:36.4776862Z 2022-11-23T01:30:36.4776994Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4777198Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4777303Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4777404Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.4777499Z bool* __restrict__ out_ptr1) 2022-11-23T01:30:36.4777562Z { 2022-11-23T01:30:36.4777659Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4777721Z { 2022-11-23T01:30:36.4777799Z #pragma omp for 2022-11-23T01:30:36.4777870Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:30:36.4777933Z { 2022-11-23T01:30:36.4777996Z { 2022-11-23T01:30:36.4778060Z { 2022-11-23T01:30:36.4778152Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4778256Z auto tmp1 = static_cast(3.0); 2022-11-23T01:30:36.4778370Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:30:36.4778462Z auto tmp3 = static_cast(3); 2022-11-23T01:30:36.4778554Z auto tmp4 = tmp0 >= tmp3; 2022-11-23T01:30:36.4778638Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.4778722Z out_ptr1[i0] = tmp4; 2022-11-23T01:30:36.4778786Z } 2022-11-23T01:30:36.4778848Z } 2022-11-23T01:30:36.4778909Z } 2022-11-23T01:30:36.4783540Z } 2022-11-23T01:30:36.4783601Z } 2022-11-23T01:30:36.4783703Z ''') 2022-11-23T01:30:36.4783779Z 2022-11-23T01:30:36.4783784Z 2022-11-23T01:30:36.4783891Z async_compile.wait(globals()) 2022-11-23T01:30:36.4783968Z del async_compile 2022-11-23T01:30:36.4783974Z 2022-11-23T01:30:36.4784044Z def call(args): 2022-11-23T01:30:36.4784123Z primals_1, = args 2022-11-23T01:30:36.4784194Z args.clear() 2022-11-23T01:30:36.4784397Z buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4784601Z buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.4784774Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:30:36.4784850Z del primals_1 2022-11-23T01:30:36.4784930Z return (buf0, buf1, ) 2022-11-23T01:30:36.4784935Z 2022-11-23T01:30:36.4784940Z 2022-11-23T01:30:36.4785015Z if __name__ == "__main__": 2022-11-23T01:30:36.4785128Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4785252Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4785452Z primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4785552Z print_performance(lambda: call([primals_1])) 2022-11-23T01:30:36.4785557Z 2022-11-23T01:30:36.4785622Z ok (1.467s) 2022-11-23T01:30:36.4785946Z test_vertical_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4786269Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4786485Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4786740Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4787020Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4787337Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4787684Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4787997Z [2022-11-23 01:28:45,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4788371Z [2022-11-23 01:28:45,332] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4788538Z 704 0 LOAD_CONST 1 (-3.087032500374211e-07) 2022-11-23T01:30:36.4788629Z 2 STORE_FAST 3 (v17) 2022-11-23T01:30:36.4788637Z 2022-11-23T01:30:36.4788800Z 705 4 LOAD_CONST 2 (-1.988366587925593e-08) 2022-11-23T01:30:36.4788889Z 6 STORE_FAST 4 (v18) 2022-11-23T01:30:36.4788894Z 2022-11-23T01:30:36.4789056Z 706 8 LOAD_CONST 3 (-1.061519070296458e-11) 2022-11-23T01:30:36.4789145Z 10 STORE_FAST 5 (v19) 2022-11-23T01:30:36.4789149Z 2022-11-23T01:30:36.4789311Z 707 12 LOAD_CONST 4 (1.55093272922008e-10) 2022-11-23T01:30:36.4789387Z 14 STORE_FAST 6 (v20) 2022-11-23T01:30:36.4789404Z 2022-11-23T01:30:36.4789479Z 708 16 LOAD_FAST 5 (v19) 2022-11-23T01:30:36.4789567Z 18 LOAD_FAST 1 (ct) 2022-11-23T01:30:36.4789647Z 20 BINARY_MULTIPLY 2022-11-23T01:30:36.4789737Z 22 STORE_FAST 7 (t15) 2022-11-23T01:30:36.4789741Z 2022-11-23T01:30:36.4789825Z 709 24 LOAD_FAST 3 (v17) 2022-11-23T01:30:36.4789940Z 26 LOAD_FAST 1 (ct) 2022-11-23T01:30:36.4790029Z 28 LOAD_FAST 4 (v18) 2022-11-23T01:30:36.4790101Z 30 LOAD_FAST 7 (t15) 2022-11-23T01:30:36.4790173Z 32 BINARY_ADD 2022-11-23T01:30:36.4790253Z 34 BINARY_MULTIPLY 2022-11-23T01:30:36.4790328Z 36 BINARY_ADD 2022-11-23T01:30:36.4790414Z 38 LOAD_FAST 6 (v20) 2022-11-23T01:30:36.4790528Z 40 LOAD_FAST 0 (sa) 2022-11-23T01:30:36.4790604Z 42 BINARY_MULTIPLY 2022-11-23T01:30:36.4790662Z 44 BINARY_ADD 2022-11-23T01:30:36.4790750Z 46 STORE_FAST 8 (t19) 2022-11-23T01:30:36.4790755Z 2022-11-23T01:30:36.4790839Z 710 48 LOAD_CONST 5 (1.0) 2022-11-23T01:30:36.4790928Z 50 LOAD_FAST 8 (t19) 2022-11-23T01:30:36.4791008Z 52 BINARY_TRUE_DIVIDE 2022-11-23T01:30:36.4791097Z 54 STORE_FAST 9 (t20) 2022-11-23T01:30:36.4791101Z 2022-11-23T01:30:36.4791186Z 711 56 LOAD_FAST 8 (t19) 2022-11-23T01:30:36.4791274Z 58 LOAD_FAST 2 (p) 2022-11-23T01:30:36.4791339Z 60 BINARY_MULTIPLY 2022-11-23T01:30:36.4791428Z 62 STORE_FAST 10 (t128) 2022-11-23T01:30:36.4791432Z 2022-11-23T01:30:36.4791518Z 712 64 LOAD_FAST 9 (t20) 2022-11-23T01:30:36.4791610Z 66 LOAD_FAST 10 (t128) 2022-11-23T01:30:36.4791681Z 68 BINARY_ADD 2022-11-23T01:30:36.4791755Z 70 RETURN_VALUE 2022-11-23T01:30:36.4791815Z 2022-11-23T01:30:36.4791819Z 2022-11-23T01:30:36.4792125Z [2022-11-23 01:28:45,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:704 2022-11-23T01:30:36.4792369Z [2022-11-23 01:28:45,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 [] 2022-11-23T01:30:36.4792628Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)] 2022-11-23T01:30:36.4792939Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:705 2022-11-23T01:30:36.4793178Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 [] 2022-11-23T01:30:36.4793430Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)] 2022-11-23T01:30:36.4793738Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:706 2022-11-23T01:30:36.4793973Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 [] 2022-11-23T01:30:36.4794223Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)] 2022-11-23T01:30:36.4794531Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:707 2022-11-23T01:30:36.4794753Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 [] 2022-11-23T01:30:36.4795001Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)] 2022-11-23T01:30:36.4795308Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:708 2022-11-23T01:30:36.4795518Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 [] 2022-11-23T01:30:36.4795765Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)] 2022-11-23T01:30:36.4796086Z [2022-11-23 01:28:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.4796326Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()] 2022-11-23T01:30:36.4796637Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:709 2022-11-23T01:30:36.4796888Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 [] 2022-11-23T01:30:36.4797135Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)] 2022-11-23T01:30:36.4797398Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.4797712Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.4798067Z [2022-11-23 01:28:45,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.4798390Z [2022-11-23 01:28:45,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4798671Z [2022-11-23 01:28:45,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.4798910Z [2022-11-23 01:28:45,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()] 2022-11-23T01:30:36.4799186Z [2022-11-23 01:28:45,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)] 2022-11-23T01:30:36.4799505Z [2022-11-23 01:28:45,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.4799773Z [2022-11-23 01:28:45,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4800101Z [2022-11-23 01:28:45,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()] 2022-11-23T01:30:36.4800406Z [2022-11-23 01:28:45,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:710 2022-11-23T01:30:36.4800622Z [2022-11-23 01:28:45,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [] 2022-11-23T01:30:36.4800871Z [2022-11-23 01:28:45,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)] 2022-11-23T01:30:36.4801166Z [2022-11-23 01:28:45,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.4801405Z [2022-11-23 01:28:45,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()] 2022-11-23T01:30:36.4801717Z [2022-11-23 01:28:45,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:711 2022-11-23T01:30:36.4801929Z [2022-11-23 01:28:45,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [] 2022-11-23T01:30:36.4802167Z [2022-11-23 01:28:45,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()] 2022-11-23T01:30:36.4802450Z [2022-11-23 01:28:45,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4802691Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()] 2022-11-23T01:30:36.4802987Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:712 2022-11-23T01:30:36.4803229Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 [] 2022-11-23T01:30:36.4803469Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()] 2022-11-23T01:30:36.4803737Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4803979Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4804384Z [2022-11-23 01:28:45,341] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4804627Z [2022-11-23 01:28:45,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.4804967Z [2022-11-23 01:28:45,342] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4805227Z [2022-11-23 01:28:45,343] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4805463Z [2022-11-23 01:28:45,350] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4805652Z [2022-11-23 01:28:45,350] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4805786Z __compiled_fn_422 .3351 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4805876Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4805965Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4806049Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:30:36.4806251Z call_function, mul, , (-1.061519070296458e-11, ex_1_), {} 2022-11-23T01:30:36.4806451Z call_function, add, , (-1.988366587925593e-08, mul), {} 2022-11-23T01:30:36.4806614Z call_function, mul_1, , (ex_1_, add), {} 2022-11-23T01:30:36.4806823Z call_function, add_1, , (-3.087032500374211e-07, mul_1), {} 2022-11-23T01:30:36.4807022Z call_function, mul_2, , (1.55093272922008e-10, ex_0_), {} 2022-11-23T01:30:36.4807202Z call_function, add_2, , (add_1, mul_2), {} 2022-11-23T01:30:36.4807390Z call_function, truediv, , (1.0, add_2), {} 2022-11-23T01:30:36.4807566Z call_function, mul_3, , (add_2, ex_2_), {} 2022-11-23T01:30:36.4807750Z call_function, add_3, , (truediv, mul_3), {} 2022-11-23T01:30:36.4807850Z output, output, output, ((add_3,),), {} 2022-11-23T01:30:36.4807859Z 2022-11-23T01:30:36.4808175Z [2022-11-23 01:28:45,350] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4808269Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4808358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4808448Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4808541Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4808626Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4808712Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4808786Z 12 RETURN_VALUE 2022-11-23T01:30:36.4808792Z 2022-11-23T01:30:36.4808840Z 2022-11-23T01:30:36.4809161Z [2022-11-23 01:28:45,350] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4809271Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_422) 2022-11-23T01:30:36.4809359Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4809448Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4809523Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4809611Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4809685Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4809759Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4809898Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4809987Z 16 LOAD_CONST 3 (2) 2022-11-23T01:30:36.4810065Z 18 BINARY_SUBSCR 2022-11-23T01:30:36.4810152Z 20 CALL_FUNCTION 3 2022-11-23T01:30:36.4810241Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.4810303Z 24 RETURN_VALUE 2022-11-23T01:30:36.4810320Z 2022-11-23T01:30:36.4810399Z 2022-11-23T01:30:36.4810584Z [2022-11-23 01:28:45,351] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4810658Z - 2022-11-23T01:30:36.4810776Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4810841Z { 2022-11-23T01:30:36.4810981Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4811154Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 3'], 2022-11-23T01:30:36.4811272Z 'obj_weakref': None 2022-11-23T01:30:36.4811501Z 'guarded_class': 2022-11-23T01:30:36.4811568Z } 2022-11-23T01:30:36.4811633Z 2022-11-23T01:30:36.4811703Z - 2022-11-23T01:30:36.4811825Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4811876Z { 2022-11-23T01:30:36.4812017Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4812122Z 'code': None, 2022-11-23T01:30:36.4812336Z 'obj_weakref': 2022-11-23T01:30:36.4812586Z 'guarded_class': 2022-11-23T01:30:36.4812648Z } 2022-11-23T01:30:36.4812712Z 2022-11-23T01:30:36.4812779Z - 2022-11-23T01:30:36.4812888Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4812951Z { 2022-11-23T01:30:36.4813090Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4813200Z 'code': None, 2022-11-23T01:30:36.4813409Z 'obj_weakref': 2022-11-23T01:30:36.4813658Z 'guarded_class': 2022-11-23T01:30:36.4813724Z } 2022-11-23T01:30:36.4813774Z 2022-11-23T01:30:36.4813841Z - 2022-11-23T01:30:36.4813968Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:30:36.4814029Z { 2022-11-23T01:30:36.4814169Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4814274Z 'code': None, 2022-11-23T01:30:36.4814481Z 'obj_weakref': 2022-11-23T01:30:36.4814719Z 'guarded_class': 2022-11-23T01:30:36.4814782Z } 2022-11-23T01:30:36.4814846Z 2022-11-23T01:30:36.4814916Z - 2022-11-23T01:30:36.4815044Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4815107Z { 2022-11-23T01:30:36.4815240Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4815395Z 'code': ['___check_obj_id(model, 140534418252288)'], 2022-11-23T01:30:36.4815512Z 'obj_weakref': None 2022-11-23T01:30:36.4815740Z 'guarded_class': 2022-11-23T01:30:36.4815805Z } 2022-11-23T01:30:36.4815868Z 2022-11-23T01:30:36.4815936Z - 2022-11-23T01:30:36.4816044Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4816109Z { 2022-11-23T01:30:36.4816245Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4816459Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4816575Z 'obj_weakref': None 2022-11-23T01:30:36.4816825Z 'guarded_class': 2022-11-23T01:30:36.4816890Z } 2022-11-23T01:30:36.4816951Z 2022-11-23T01:30:36.4817199Z [2022-11-23 01:28:45,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414 2022-11-23T01:30:36.4817558Z [2022-11-23 01:28:46,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j2/cj22evj3hg63u6xboga4secgewemf3t74i4rsigngiyy5j7lglvi.py 2022-11-23T01:30:36.4817853Z [2022-11-23 01:28:46,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414 2022-11-23T01:30:36.4817858Z 2022-11-23T01:30:36.4817952Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4818026Z import torch 2022-11-23T01:30:36.4818095Z import random 2022-11-23T01:30:36.4818208Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4818326Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4818334Z 2022-11-23T01:30:36.4818399Z aten = torch.ops.aten 2022-11-23T01:30:36.4818530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4818621Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4818626Z 2022-11-23T01:30:36.4818629Z 2022-11-23T01:30:36.4818765Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4818969Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4819090Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4819192Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4819292Z const float* __restrict__ in_ptr2, 2022-11-23T01:30:36.4819377Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4819438Z { 2022-11-23T01:30:36.4819536Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4819597Z { 2022-11-23T01:30:36.4819674Z #pragma omp for 2022-11-23T01:30:36.4819757Z for(long i0=0; i0<41616; i0+=1) 2022-11-23T01:30:36.4819819Z { 2022-11-23T01:30:36.4819886Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:30:36.4819947Z { 2022-11-23T01:30:36.4820103Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (26*i0)); 2022-11-23T01:30:36.4820242Z auto tmp8 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (26*i0)); 2022-11-23T01:30:36.4820378Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr2 + 8*i1); 2022-11-23T01:30:36.4820608Z auto tmp1 = at::vec::Vectorized(static_cast(-1.061519070296458e-11)); 2022-11-23T01:30:36.4820696Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4820919Z auto tmp3 = at::vec::Vectorized(static_cast(-1.988366587925593e-08)); 2022-11-23T01:30:36.4820993Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4821078Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:30:36.4821302Z auto tmp6 = at::vec::Vectorized(static_cast(-3.087032500374211e-07)); 2022-11-23T01:30:36.4821389Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:30:36.4821610Z auto tmp9 = at::vec::Vectorized(static_cast(1.55093272922008e-10)); 2022-11-23T01:30:36.4821697Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:30:36.4821785Z auto tmp11 = tmp7 + tmp10; 2022-11-23T01:30:36.4821887Z auto tmp12 = tmp11.reciprocal(); 2022-11-23T01:30:36.4822009Z auto tmp13 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:30:36.4822098Z auto tmp14 = tmp12 * tmp13; 2022-11-23T01:30:36.4822188Z auto tmp16 = tmp11 * tmp15; 2022-11-23T01:30:36.4822275Z auto tmp17 = tmp14 + tmp16; 2022-11-23T01:30:36.4822381Z tmp17.store(out_ptr0 + (8*i1) + (26*i0)); 2022-11-23T01:30:36.4822444Z } 2022-11-23T01:30:36.4822567Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.4822640Z for(long i1=24; i1<26; i1+=1) 2022-11-23T01:30:36.4822703Z { 2022-11-23T01:30:36.4822798Z auto tmp0 = in_ptr0[i1 + (26*i0)]; 2022-11-23T01:30:36.4822889Z auto tmp8 = in_ptr1[i1 + (26*i0)]; 2022-11-23T01:30:36.4822974Z auto tmp15 = in_ptr2[i1]; 2022-11-23T01:30:36.4823151Z auto tmp1 = static_cast(-1.061519070296458e-11); 2022-11-23T01:30:36.4823275Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.4823438Z auto tmp3 = static_cast(-1.988366587925593e-08); 2022-11-23T01:30:36.4823524Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4823608Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:30:36.4823786Z auto tmp6 = static_cast(-3.087032500374211e-07); 2022-11-23T01:30:36.4823872Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:30:36.4824046Z auto tmp9 = static_cast(1.55093272922008e-10); 2022-11-23T01:30:36.4824132Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:30:36.4824220Z auto tmp11 = tmp7 + tmp10; 2022-11-23T01:30:36.4824289Z auto tmp12 = 1 / tmp11; 2022-11-23T01:30:36.4824389Z auto tmp13 = static_cast(1.0); 2022-11-23T01:30:36.4824478Z auto tmp14 = tmp12 * tmp13; 2022-11-23T01:30:36.4824566Z auto tmp16 = tmp11 * tmp15; 2022-11-23T01:30:36.4824656Z auto tmp17 = tmp14 + tmp16; 2022-11-23T01:30:36.4824745Z out_ptr0[i1 + (26*i0)] = tmp17; 2022-11-23T01:30:36.4824808Z } 2022-11-23T01:30:36.4824858Z } 2022-11-23T01:30:36.4824918Z } 2022-11-23T01:30:36.4824977Z } 2022-11-23T01:30:36.4825053Z ''') 2022-11-23T01:30:36.4825058Z 2022-11-23T01:30:36.4825062Z 2022-11-23T01:30:36.4825150Z async_compile.wait(globals()) 2022-11-23T01:30:36.4825221Z del async_compile 2022-11-23T01:30:36.4825225Z 2022-11-23T01:30:36.4825297Z def call(args): 2022-11-23T01:30:36.4825365Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:30:36.4825435Z args.clear() 2022-11-23T01:30:36.4825648Z buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4825837Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4825906Z del arg0_1 2022-11-23T01:30:36.4825971Z del arg1_1 2022-11-23T01:30:36.4826035Z del arg2_1 2022-11-23T01:30:36.4826093Z return (buf0, ) 2022-11-23T01:30:36.4826098Z 2022-11-23T01:30:36.4826114Z 2022-11-23T01:30:36.4826176Z if __name__ == "__main__": 2022-11-23T01:30:36.4826288Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4826412Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4826625Z arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4826836Z arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4827025Z arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4827146Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:30:36.4827151Z 2022-11-23T01:30:36.4827244Z ok (1.532s) 2022-11-23T01:30:36.4827540Z test_views1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4827855Z [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4828071Z [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4828323Z [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4828628Z [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4828951Z [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4829294Z [2022-11-23 01:28:46,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4829647Z [2022-11-23 01:28:46,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4830023Z [2022-11-23 01:28:46,846] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4830114Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4830198Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.4830290Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.4830377Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4830470Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4830542Z 10 BINARY_ADD 2022-11-23T01:30:36.4830629Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.4830703Z 14 RETURN_VALUE 2022-11-23T01:30:36.4830755Z 2022-11-23T01:30:36.4830760Z 2022-11-23T01:30:36.4831073Z [2022-11-23 01:28:46,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.4831281Z [2022-11-23 01:28:46,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4831523Z [2022-11-23 01:28:46,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.4831804Z [2022-11-23 01:28:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.4832106Z [2022-11-23 01:28:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.4832344Z [2022-11-23 01:28:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4832614Z [2022-11-23 01:28:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4832859Z [2022-11-23 01:28:46,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.4833092Z [2022-11-23 01:28:46,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4833469Z [2022-11-23 01:28:46,848] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4833715Z [2022-11-23 01:28:46,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4833951Z [2022-11-23 01:28:46,849] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4834205Z [2022-11-23 01:28:46,850] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4834453Z [2022-11-23 01:28:46,853] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4834642Z [2022-11-23 01:28:46,853] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4834774Z __compiled_fn_423 .3357 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4834862Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4834934Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4835031Z call_method, view, view, (ex_0_, [5, 7]), {} 2022-11-23T01:30:36.4835233Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.4835329Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.4835334Z 2022-11-23T01:30:36.4835661Z [2022-11-23 01:28:46,853] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4835753Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4835842Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4835956Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4836035Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4836118Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4836206Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4836280Z 12 RETURN_VALUE 2022-11-23T01:30:36.4836285Z 2022-11-23T01:30:36.4836347Z 2022-11-23T01:30:36.4836669Z [2022-11-23 01:28:46,854] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4836776Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_423) 2022-11-23T01:30:36.4836864Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4836942Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4837016Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4837104Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4837193Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4837266Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4837352Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4837452Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4837567Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4837661Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4837746Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.4837842Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4837940Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4838026Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4838100Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4838174Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.4838264Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4838365Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4838451Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4838525Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4838623Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4838713Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4838797Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4838882Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4838958Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.4839057Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4839130Z 54 RETURN_VALUE 2022-11-23T01:30:36.4839135Z 2022-11-23T01:30:36.4839194Z 2022-11-23T01:30:36.4839375Z [2022-11-23 01:28:46,855] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4839443Z - 2022-11-23T01:30:36.4839549Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4839612Z { 2022-11-23T01:30:36.4839754Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4839937Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4840202Z 'obj_weakref': None 2022-11-23T01:30:36.4840431Z 'guarded_class': 2022-11-23T01:30:36.4840495Z } 2022-11-23T01:30:36.4840545Z 2022-11-23T01:30:36.4840614Z - 2022-11-23T01:30:36.4840740Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4840835Z { 2022-11-23T01:30:36.4840979Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4841084Z 'code': None, 2022-11-23T01:30:36.4841282Z 'obj_weakref': 2022-11-23T01:30:36.4841533Z 'guarded_class': 2022-11-23T01:30:36.4841627Z } 2022-11-23T01:30:36.4841690Z 2022-11-23T01:30:36.4841758Z - 2022-11-23T01:30:36.4841879Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4841942Z { 2022-11-23T01:30:36.4842070Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4842174Z 'code': None, 2022-11-23T01:30:36.4842383Z 'obj_weakref': 2022-11-23T01:30:36.4842636Z 'guarded_class': 2022-11-23T01:30:36.4842698Z } 2022-11-23T01:30:36.4842760Z 2022-11-23T01:30:36.4842828Z - 2022-11-23T01:30:36.4842957Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4843007Z { 2022-11-23T01:30:36.4843139Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4843309Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.4843428Z 'obj_weakref': None 2022-11-23T01:30:36.4843655Z 'guarded_class': 2022-11-23T01:30:36.4843717Z } 2022-11-23T01:30:36.4843782Z 2022-11-23T01:30:36.4843839Z - 2022-11-23T01:30:36.4843958Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4844023Z { 2022-11-23T01:30:36.4844155Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4844371Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4844487Z 'obj_weakref': None 2022-11-23T01:30:36.4844706Z 'guarded_class': 2022-11-23T01:30:36.4844873Z } 2022-11-23T01:30:36.4844937Z 2022-11-23T01:30:36.4845009Z - 2022-11-23T01:30:36.4845187Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.4845254Z { 2022-11-23T01:30:36.4845420Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.4845959Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [5, 7]'], 2022-11-23T01:30:36.4846081Z 'obj_weakref': None 2022-11-23T01:30:36.4846291Z 'guarded_class': 2022-11-23T01:30:36.4846353Z } 2022-11-23T01:30:36.4846418Z 2022-11-23T01:30:36.4846487Z - 2022-11-23T01:30:36.4846671Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.4846733Z { 2022-11-23T01:30:36.4846874Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4847147Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 5'], 2022-11-23T01:30:36.4847265Z 'obj_weakref': None 2022-11-23T01:30:36.4847485Z 'guarded_class': 2022-11-23T01:30:36.4847547Z } 2022-11-23T01:30:36.4847610Z 2022-11-23T01:30:36.4847676Z - 2022-11-23T01:30:36.4847909Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.4847961Z { 2022-11-23T01:30:36.4848104Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4848389Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 7'], 2022-11-23T01:30:36.4848507Z 'obj_weakref': None 2022-11-23T01:30:36.4848726Z 'guarded_class': 2022-11-23T01:30:36.4848825Z } 2022-11-23T01:30:36.4848887Z 2022-11-23T01:30:36.4849135Z [2022-11-23 01:28:46,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415 2022-11-23T01:30:36.4849500Z [2022-11-23 01:28:48,290] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w4/cw44opu6o24jr33nqfakk5exjgwrlu2ydcabqtq7rbn2aq75di63.py 2022-11-23T01:30:36.4849766Z [2022-11-23 01:28:48,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415 2022-11-23T01:30:36.4850001Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4850314Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4850530Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4850781Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4851057Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4851373Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4851718Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4852029Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4852402Z [2022-11-23 01:28:48,295] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4852499Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4852588Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4852662Z 4 BINARY_ADD 2022-11-23T01:30:36.4852755Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.4852845Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.4852929Z 10 CALL_METHOD 1 2022-11-23T01:30:36.4853008Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4853080Z 14 BINARY_ADD 2022-11-23T01:30:36.4853167Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.4853246Z 18 RETURN_VALUE 2022-11-23T01:30:36.4853305Z 2022-11-23T01:30:36.4853311Z 2022-11-23T01:30:36.4853623Z [2022-11-23 01:28:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.4853834Z [2022-11-23 01:28:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4854072Z [2022-11-23 01:28:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.4854340Z [2022-11-23 01:28:48,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4854578Z [2022-11-23 01:28:48,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.4854885Z [2022-11-23 01:28:48,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.4855188Z [2022-11-23 01:28:48,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.4855422Z [2022-11-23 01:28:48,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4855721Z [2022-11-23 01:28:48,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4855962Z [2022-11-23 01:28:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.4856206Z [2022-11-23 01:28:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4856585Z [2022-11-23 01:28:48,299] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4856828Z [2022-11-23 01:28:48,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4857046Z [2022-11-23 01:28:48,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4857299Z [2022-11-23 01:28:48,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4857553Z [2022-11-23 01:28:48,304] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4857740Z [2022-11-23 01:28:48,304] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4857876Z __compiled_fn_424 .3363 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4857964Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4858048Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4858222Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.4858307Z call_method, view, view, (add, [5, 7]), {} 2022-11-23T01:30:36.4858486Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.4858581Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.4858587Z 2022-11-23T01:30:36.4858914Z [2022-11-23 01:28:48,305] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4859008Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4859097Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4859181Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4859270Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4859342Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4859427Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4859501Z 12 RETURN_VALUE 2022-11-23T01:30:36.4859506Z 2022-11-23T01:30:36.4859568Z 2022-11-23T01:30:36.4859888Z [2022-11-23 01:28:48,305] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4859995Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_424) 2022-11-23T01:30:36.4860083Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4860169Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4860236Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4860322Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4860410Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4860482Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4860572Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4860671Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4860827Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4860935Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4861022Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.4861117Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4861216Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4861302Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4861382Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4861496Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.4861574Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4861671Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4861756Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4861830Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4861932Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4862020Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4862117Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4862190Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4862265Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.4862362Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4862436Z 54 RETURN_VALUE 2022-11-23T01:30:36.4862441Z 2022-11-23T01:30:36.4862499Z 2022-11-23T01:30:36.4862682Z [2022-11-23 01:28:48,306] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4862752Z - 2022-11-23T01:30:36.4862869Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4862920Z { 2022-11-23T01:30:36.4863059Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4863246Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4863363Z 'obj_weakref': None 2022-11-23T01:30:36.4863585Z 'guarded_class': 2022-11-23T01:30:36.4863652Z } 2022-11-23T01:30:36.4863715Z 2022-11-23T01:30:36.4863770Z - 2022-11-23T01:30:36.4863890Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4863954Z { 2022-11-23T01:30:36.4864092Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4864196Z 'code': None, 2022-11-23T01:30:36.4864407Z 'obj_weakref': 2022-11-23T01:30:36.4864660Z 'guarded_class': 2022-11-23T01:30:36.4864711Z } 2022-11-23T01:30:36.4864773Z 2022-11-23T01:30:36.4864839Z - 2022-11-23T01:30:36.4864958Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4865020Z { 2022-11-23T01:30:36.4865160Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4865263Z 'code': None, 2022-11-23T01:30:36.4865462Z 'obj_weakref': 2022-11-23T01:30:36.4865710Z 'guarded_class': 2022-11-23T01:30:36.4865776Z } 2022-11-23T01:30:36.4865842Z 2022-11-23T01:30:36.4865908Z - 2022-11-23T01:30:36.4866034Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4866096Z { 2022-11-23T01:30:36.4866219Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4866386Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.4866504Z 'obj_weakref': None 2022-11-23T01:30:36.4866731Z 'guarded_class': 2022-11-23T01:30:36.4866793Z } 2022-11-23T01:30:36.4866857Z 2022-11-23T01:30:36.4866926Z - 2022-11-23T01:30:36.4867032Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4867127Z { 2022-11-23T01:30:36.4867264Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4867477Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4867592Z 'obj_weakref': None 2022-11-23T01:30:36.4867811Z 'guarded_class': 2022-11-23T01:30:36.4867875Z } 2022-11-23T01:30:36.4867964Z 2022-11-23T01:30:36.4868031Z - 2022-11-23T01:30:36.4868209Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.4868272Z { 2022-11-23T01:30:36.4868438Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.4868981Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [5, 7]'], 2022-11-23T01:30:36.4869152Z 'obj_weakref': None 2022-11-23T01:30:36.4869415Z 'guarded_class': 2022-11-23T01:30:36.4869466Z } 2022-11-23T01:30:36.4869528Z 2022-11-23T01:30:36.4869599Z - 2022-11-23T01:30:36.4869784Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.4869846Z { 2022-11-23T01:30:36.4869987Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4870265Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 5'], 2022-11-23T01:30:36.4870370Z 'obj_weakref': None 2022-11-23T01:30:36.4870590Z 'guarded_class': 2022-11-23T01:30:36.4870655Z } 2022-11-23T01:30:36.4870717Z 2022-11-23T01:30:36.4870783Z - 2022-11-23T01:30:36.4870963Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.4871026Z { 2022-11-23T01:30:36.4871155Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4871436Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 7'], 2022-11-23T01:30:36.4871557Z 'obj_weakref': None 2022-11-23T01:30:36.4871776Z 'guarded_class': 2022-11-23T01:30:36.4871841Z } 2022-11-23T01:30:36.4871904Z 2022-11-23T01:30:36.4872162Z [2022-11-23 01:28:48,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416 2022-11-23T01:30:36.4872535Z [2022-11-23 01:28:49,759] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbdvji2i2hqtuuqhnfr3t6ewpqoqpcz6xcdbfhhg3jsoprph7f5.py 2022-11-23T01:30:36.4872790Z [2022-11-23 01:28:49,759] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416 2022-11-23T01:30:36.4873026Z [2022-11-23 01:28:49,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4873339Z [2022-11-23 01:28:49,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4873557Z [2022-11-23 01:28:49,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4873807Z [2022-11-23 01:28:49,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4874082Z [2022-11-23 01:28:49,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4874457Z [2022-11-23 01:28:49,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4874804Z [2022-11-23 01:28:49,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4875127Z [2022-11-23 01:28:49,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4875532Z [2022-11-23 01:28:49,764] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4875611Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4875704Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.4875798Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.4875883Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4875976Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4876049Z 10 BINARY_ADD 2022-11-23T01:30:36.4876138Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.4876201Z 14 RETURN_VALUE 2022-11-23T01:30:36.4876261Z 2022-11-23T01:30:36.4876267Z 2022-11-23T01:30:36.4876580Z [2022-11-23 01:28:49,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.4876792Z [2022-11-23 01:28:49,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4877035Z [2022-11-23 01:28:49,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.4877314Z [2022-11-23 01:28:49,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.4877622Z [2022-11-23 01:28:49,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.4877859Z [2022-11-23 01:28:49,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4878127Z [2022-11-23 01:28:49,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4878365Z [2022-11-23 01:28:49,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.4878600Z [2022-11-23 01:28:49,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4878979Z [2022-11-23 01:28:49,767] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4879224Z [2022-11-23 01:28:49,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4879462Z [2022-11-23 01:28:49,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4879713Z [2022-11-23 01:28:49,769] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4879959Z [2022-11-23 01:28:49,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4880236Z [2022-11-23 01:28:49,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4880375Z __compiled_fn_425 .3369 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4880464Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4880538Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4880643Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:30:36.4880822Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.4880918Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.4880924Z 2022-11-23T01:30:36.4881280Z [2022-11-23 01:28:49,772] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4881375Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4881464Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4881537Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4881630Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4881744Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4881837Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4881912Z 12 RETURN_VALUE 2022-11-23T01:30:36.4881917Z 2022-11-23T01:30:36.4881975Z 2022-11-23T01:30:36.4882296Z [2022-11-23 01:28:49,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4882401Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_425) 2022-11-23T01:30:36.4882480Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4882568Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4882645Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4882734Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4882820Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4882893Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4882979Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4883071Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4883197Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4883292Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4883381Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.4883474Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4883573Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4883663Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4883738Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4883812Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.4883904Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4884002Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4884090Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4884171Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4884261Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4884349Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4884443Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4884529Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4884604Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.4884701Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4884928Z 54 RETURN_VALUE 2022-11-23T01:30:36.4884936Z 2022-11-23T01:30:36.4884995Z 2022-11-23T01:30:36.4885169Z [2022-11-23 01:28:49,774] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4885238Z - 2022-11-23T01:30:36.4885357Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4885420Z { 2022-11-23T01:30:36.4885561Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4885745Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4885868Z 'obj_weakref': None 2022-11-23T01:30:36.4886080Z 'guarded_class': 2022-11-23T01:30:36.4886145Z } 2022-11-23T01:30:36.4886208Z 2022-11-23T01:30:36.4886277Z - 2022-11-23T01:30:36.4886400Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4886463Z { 2022-11-23T01:30:36.4886605Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4886698Z 'code': None, 2022-11-23T01:30:36.4886957Z 'obj_weakref': 2022-11-23T01:30:36.4887212Z 'guarded_class': 2022-11-23T01:30:36.4887276Z } 2022-11-23T01:30:36.4887338Z 2022-11-23T01:30:36.4887405Z - 2022-11-23T01:30:36.4887526Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4887609Z { 2022-11-23T01:30:36.4887751Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4887857Z 'code': None, 2022-11-23T01:30:36.4888067Z 'obj_weakref': 2022-11-23T01:30:36.4888319Z 'guarded_class': 2022-11-23T01:30:36.4888383Z } 2022-11-23T01:30:36.4888446Z 2022-11-23T01:30:36.4888501Z - 2022-11-23T01:30:36.4888633Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4888699Z { 2022-11-23T01:30:36.4888832Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4888997Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.4889114Z 'obj_weakref': None 2022-11-23T01:30:36.4889344Z 'guarded_class': 2022-11-23T01:30:36.4889397Z } 2022-11-23T01:30:36.4889462Z 2022-11-23T01:30:36.4889531Z - 2022-11-23T01:30:36.4889652Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4889714Z { 2022-11-23T01:30:36.4889849Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4890062Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4890166Z 'obj_weakref': None 2022-11-23T01:30:36.4890386Z 'guarded_class': 2022-11-23T01:30:36.4890452Z } 2022-11-23T01:30:36.4890514Z 2022-11-23T01:30:36.4890581Z - 2022-11-23T01:30:36.4890756Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.4890819Z { 2022-11-23T01:30:36.4890972Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.4891975Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:30:36.4892096Z 'obj_weakref': None 2022-11-23T01:30:36.4892314Z 'guarded_class': 2022-11-23T01:30:36.4892377Z } 2022-11-23T01:30:36.4892439Z 2022-11-23T01:30:36.4892507Z - 2022-11-23T01:30:36.4892689Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.4892754Z { 2022-11-23T01:30:36.4892881Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4893158Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:30:36.4893276Z 'obj_weakref': None 2022-11-23T01:30:36.4893493Z 'guarded_class': 2022-11-23T01:30:36.4893558Z } 2022-11-23T01:30:36.4893646Z 2022-11-23T01:30:36.4893716Z - 2022-11-23T01:30:36.4893885Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.4893948Z { 2022-11-23T01:30:36.4894089Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4894367Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:30:36.4894512Z 'obj_weakref': None 2022-11-23T01:30:36.4894730Z 'guarded_class': 2022-11-23T01:30:36.4894793Z } 2022-11-23T01:30:36.4894855Z 2022-11-23T01:30:36.4894911Z - 2022-11-23T01:30:36.4895093Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.4895156Z { 2022-11-23T01:30:36.4895296Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4895579Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:30:36.4895696Z 'obj_weakref': None 2022-11-23T01:30:36.4895914Z 'guarded_class': 2022-11-23T01:30:36.4895965Z } 2022-11-23T01:30:36.4896027Z 2022-11-23T01:30:36.4896098Z - 2022-11-23T01:30:36.4896283Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.4896347Z { 2022-11-23T01:30:36.4896487Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4896766Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:30:36.4896873Z 'obj_weakref': None 2022-11-23T01:30:36.4897093Z 'guarded_class': 2022-11-23T01:30:36.4897156Z } 2022-11-23T01:30:36.4897221Z 2022-11-23T01:30:36.4897289Z - 2022-11-23T01:30:36.4897472Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:30:36.4897535Z { 2022-11-23T01:30:36.4897662Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4897941Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:30:36.4898063Z 'obj_weakref': None 2022-11-23T01:30:36.4898285Z 'guarded_class': 2022-11-23T01:30:36.4898349Z } 2022-11-23T01:30:36.4898410Z 2022-11-23T01:30:36.4898478Z - 2022-11-23T01:30:36.4898646Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:30:36.4898710Z { 2022-11-23T01:30:36.4898853Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4899131Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:30:36.4899249Z 'obj_weakref': None 2022-11-23T01:30:36.4899465Z 'guarded_class': 2022-11-23T01:30:36.4899531Z } 2022-11-23T01:30:36.4899593Z 2022-11-23T01:30:36.4899843Z [2022-11-23 01:28:49,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417 2022-11-23T01:30:36.4900208Z [2022-11-23 01:28:51,249] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck7o7pacbm2ygkkwulncf73c3k22b5katkny3zzxesj4exarktpu.py 2022-11-23T01:30:36.4900471Z [2022-11-23 01:28:51,249] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417 2022-11-23T01:30:36.4900734Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4901051Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4901268Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4901520Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4901829Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4902150Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4902487Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4902808Z [2022-11-23 01:28:51,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4903184Z [2022-11-23 01:28:51,255] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4903279Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4903370Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4903445Z 4 BINARY_ADD 2022-11-23T01:30:36.4903540Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.4903634Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.4903720Z 10 CALL_METHOD 1 2022-11-23T01:30:36.4903796Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4903868Z 14 BINARY_ADD 2022-11-23T01:30:36.4903957Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.4904033Z 18 RETURN_VALUE 2022-11-23T01:30:36.4904094Z 2022-11-23T01:30:36.4904100Z 2022-11-23T01:30:36.4904416Z [2022-11-23 01:28:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.4904623Z [2022-11-23 01:28:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4904865Z [2022-11-23 01:28:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.4905133Z [2022-11-23 01:28:51,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4905372Z [2022-11-23 01:28:51,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.4905653Z [2022-11-23 01:28:51,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.4905959Z [2022-11-23 01:28:51,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.4906193Z [2022-11-23 01:28:51,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4906462Z [2022-11-23 01:28:51,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4906705Z [2022-11-23 01:28:51,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.4906952Z [2022-11-23 01:28:51,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4907331Z [2022-11-23 01:28:51,258] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4907587Z [2022-11-23 01:28:51,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4907822Z [2022-11-23 01:28:51,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4908076Z [2022-11-23 01:28:51,260] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4908325Z [2022-11-23 01:28:51,264] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4908542Z [2022-11-23 01:28:51,264] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4908678Z __compiled_fn_426 .3375 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4908767Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4908852Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4909023Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.4909116Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:30:36.4909297Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.4909392Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.4909398Z 2022-11-23T01:30:36.4909726Z [2022-11-23 01:28:51,264] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4909820Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4909913Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4910000Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4910080Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4910164Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4910250Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4910326Z 12 RETURN_VALUE 2022-11-23T01:30:36.4910332Z 2022-11-23T01:30:36.4910394Z 2022-11-23T01:30:36.4910717Z [2022-11-23 01:28:51,264] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4910825Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_426) 2022-11-23T01:30:36.4910916Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4910992Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4911068Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4911158Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4911244Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4911318Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4911406Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4911508Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4911621Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4911716Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4911804Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.4911900Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4912003Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4912090Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4912166Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4912252Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.4912334Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4912430Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4912517Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4912592Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4912693Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4912782Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4912877Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4912997Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4913076Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.4913175Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4913250Z 54 RETURN_VALUE 2022-11-23T01:30:36.4913255Z 2022-11-23T01:30:36.4913314Z 2022-11-23T01:30:36.4913499Z [2022-11-23 01:28:51,266] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4913568Z - 2022-11-23T01:30:36.4913712Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4913777Z { 2022-11-23T01:30:36.4913916Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4914103Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4914222Z 'obj_weakref': None 2022-11-23T01:30:36.4914446Z 'guarded_class': 2022-11-23T01:30:36.4914511Z } 2022-11-23T01:30:36.4914561Z 2022-11-23T01:30:36.4914628Z - 2022-11-23T01:30:36.4914753Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4914816Z { 2022-11-23T01:30:36.4914956Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4915061Z 'code': None, 2022-11-23T01:30:36.4915269Z 'obj_weakref': 2022-11-23T01:30:36.4915507Z 'guarded_class': 2022-11-23T01:30:36.4915573Z } 2022-11-23T01:30:36.4915635Z 2022-11-23T01:30:36.4915702Z - 2022-11-23T01:30:36.4915823Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4915885Z { 2022-11-23T01:30:36.4916023Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4916116Z 'code': None, 2022-11-23T01:30:36.4916322Z 'obj_weakref': 2022-11-23T01:30:36.4916576Z 'guarded_class': 2022-11-23T01:30:36.4916638Z } 2022-11-23T01:30:36.4916701Z 2022-11-23T01:30:36.4916768Z - 2022-11-23T01:30:36.4916897Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4916947Z { 2022-11-23T01:30:36.4917078Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4917249Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.4917365Z 'obj_weakref': None 2022-11-23T01:30:36.4917594Z 'guarded_class': 2022-11-23T01:30:36.4917657Z } 2022-11-23T01:30:36.4917719Z 2022-11-23T01:30:36.4917774Z - 2022-11-23T01:30:36.4917894Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4917957Z { 2022-11-23T01:30:36.4918090Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4918305Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4918422Z 'obj_weakref': None 2022-11-23T01:30:36.4918641Z 'guarded_class': 2022-11-23T01:30:36.4918692Z } 2022-11-23T01:30:36.4918756Z 2022-11-23T01:30:36.4918824Z - 2022-11-23T01:30:36.4919002Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.4919067Z { 2022-11-23T01:30:36.4919233Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.4920277Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:30:36.4920406Z 'obj_weakref': None 2022-11-23T01:30:36.4920629Z 'guarded_class': 2022-11-23T01:30:36.4920708Z } 2022-11-23T01:30:36.4920771Z 2022-11-23T01:30:36.4920839Z - 2022-11-23T01:30:36.4921022Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.4921087Z { 2022-11-23T01:30:36.4921229Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4921512Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:30:36.4921632Z 'obj_weakref': None 2022-11-23T01:30:36.4921838Z 'guarded_class': 2022-11-23T01:30:36.4921902Z } 2022-11-23T01:30:36.4921964Z 2022-11-23T01:30:36.4922030Z - 2022-11-23T01:30:36.4922213Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.4922278Z { 2022-11-23T01:30:36.4922405Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4922685Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:30:36.4922801Z 'obj_weakref': None 2022-11-23T01:30:36.4923020Z 'guarded_class': 2022-11-23T01:30:36.4923082Z } 2022-11-23T01:30:36.4923144Z 2022-11-23T01:30:36.4923211Z - 2022-11-23T01:30:36.4923397Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.4923447Z { 2022-11-23T01:30:36.4923587Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4923865Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:30:36.4923982Z 'obj_weakref': None 2022-11-23T01:30:36.4924201Z 'guarded_class': 2022-11-23T01:30:36.4924263Z } 2022-11-23T01:30:36.4924326Z 2022-11-23T01:30:36.4924380Z - 2022-11-23T01:30:36.4924563Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.4924625Z { 2022-11-23T01:30:36.4924930Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4925222Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:30:36.4925340Z 'obj_weakref': None 2022-11-23T01:30:36.4925559Z 'guarded_class': 2022-11-23T01:30:36.4925621Z } 2022-11-23T01:30:36.4925672Z 2022-11-23T01:30:36.4925740Z - 2022-11-23T01:30:36.4925921Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:30:36.4925987Z { 2022-11-23T01:30:36.4926127Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4926403Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:30:36.4926521Z 'obj_weakref': None 2022-11-23T01:30:36.4926726Z 'guarded_class': 2022-11-23T01:30:36.4926789Z } 2022-11-23T01:30:36.4926896Z 2022-11-23T01:30:36.4926968Z - 2022-11-23T01:30:36.4927151Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:30:36.4927214Z { 2022-11-23T01:30:36.4927354Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4927619Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:30:36.4927771Z 'obj_weakref': None 2022-11-23T01:30:36.4927991Z 'guarded_class': 2022-11-23T01:30:36.4928056Z } 2022-11-23T01:30:36.4928118Z 2022-11-23T01:30:36.4928378Z [2022-11-23 01:28:51,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418 2022-11-23T01:30:36.4928745Z [2022-11-23 01:28:52,728] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y3/cy3v45dvkwaf26lo57qi2vyxpwi3pzhqn43de3n4xkrtbwgkp72c.py 2022-11-23T01:30:36.4929007Z [2022-11-23 01:28:52,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418 2022-11-23T01:30:36.4929230Z [2022-11-23 01:28:52,733] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4929544Z [2022-11-23 01:28:52,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4929763Z [2022-11-23 01:28:52,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4930016Z [2022-11-23 01:28:52,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4930290Z [2022-11-23 01:28:52,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4930611Z [2022-11-23 01:28:52,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4930954Z [2022-11-23 01:28:52,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4931276Z [2022-11-23 01:28:52,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4931654Z [2022-11-23 01:28:52,734] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4931747Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4931829Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.4931920Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.4932004Z 6 CALL_METHOD 1 2022-11-23T01:30:36.4932095Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4932167Z 10 BINARY_ADD 2022-11-23T01:30:36.4932254Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.4932329Z 14 RETURN_VALUE 2022-11-23T01:30:36.4932377Z 2022-11-23T01:30:36.4932386Z 2022-11-23T01:30:36.4932699Z [2022-11-23 01:28:52,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.4932909Z [2022-11-23 01:28:52,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4933151Z [2022-11-23 01:28:52,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.4933430Z [2022-11-23 01:28:52,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.4933758Z [2022-11-23 01:28:52,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.4933995Z [2022-11-23 01:28:52,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4934263Z [2022-11-23 01:28:52,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4934502Z [2022-11-23 01:28:52,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.4934763Z [2022-11-23 01:28:52,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4935143Z [2022-11-23 01:28:52,737] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4935389Z [2022-11-23 01:28:52,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4935625Z [2022-11-23 01:28:52,737] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4935879Z [2022-11-23 01:28:52,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4936129Z [2022-11-23 01:28:52,742] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4936316Z [2022-11-23 01:28:52,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4936452Z __compiled_fn_427 .3381 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4936540Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4936613Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4936718Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:30:36.4936897Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.4936990Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.4936995Z 2022-11-23T01:30:36.4937320Z [2022-11-23 01:28:52,742] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4937412Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4937500Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4937587Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4937666Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4937753Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4937842Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4937915Z 12 RETURN_VALUE 2022-11-23T01:30:36.4937920Z 2022-11-23T01:30:36.4937981Z 2022-11-23T01:30:36.4938300Z [2022-11-23 01:28:52,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4938407Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_427) 2022-11-23T01:30:36.4938499Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4938575Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4938650Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4938736Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4938821Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4938896Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4938982Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4939085Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4939200Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4939294Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4939380Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.4939474Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4939573Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4939690Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4939766Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4939840Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.4939929Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4940025Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4940115Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4940191Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4940319Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4940409Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4940504Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4940578Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4940652Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.4940751Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4940827Z 54 RETURN_VALUE 2022-11-23T01:30:36.4940832Z 2022-11-23T01:30:36.4940894Z 2022-11-23T01:30:36.4941078Z [2022-11-23 01:28:52,744] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4941148Z - 2022-11-23T01:30:36.4941252Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4941315Z { 2022-11-23T01:30:36.4941455Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4941644Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4941765Z 'obj_weakref': None 2022-11-23T01:30:36.4941990Z 'guarded_class': 2022-11-23T01:30:36.4942055Z } 2022-11-23T01:30:36.4942105Z 2022-11-23T01:30:36.4942173Z - 2022-11-23T01:30:36.4942297Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4942361Z { 2022-11-23T01:30:36.4942502Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4942609Z 'code': None, 2022-11-23T01:30:36.4942821Z 'obj_weakref': 2022-11-23T01:30:36.4943063Z 'guarded_class': 2022-11-23T01:30:36.4943127Z } 2022-11-23T01:30:36.4943189Z 2022-11-23T01:30:36.4943257Z - 2022-11-23T01:30:36.4943380Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4943446Z { 2022-11-23T01:30:36.4943588Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4943680Z 'code': None, 2022-11-23T01:30:36.4943891Z 'obj_weakref': 2022-11-23T01:30:36.4944142Z 'guarded_class': 2022-11-23T01:30:36.4944206Z } 2022-11-23T01:30:36.4944271Z 2022-11-23T01:30:36.4944340Z - 2022-11-23T01:30:36.4944472Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4944523Z { 2022-11-23T01:30:36.4944655Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4944824Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.4944942Z 'obj_weakref': None 2022-11-23T01:30:36.4945173Z 'guarded_class': 2022-11-23T01:30:36.4945238Z } 2022-11-23T01:30:36.4945301Z 2022-11-23T01:30:36.4945356Z - 2022-11-23T01:30:36.4945477Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4945539Z { 2022-11-23T01:30:36.4945674Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4945889Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4946006Z 'obj_weakref': None 2022-11-23T01:30:36.4946255Z 'guarded_class': 2022-11-23T01:30:36.4946306Z } 2022-11-23T01:30:36.4946369Z 2022-11-23T01:30:36.4946438Z - 2022-11-23T01:30:36.4946613Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.4946676Z { 2022-11-23T01:30:36.4946841Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.4947777Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:30:36.4947922Z 'obj_weakref': None 2022-11-23T01:30:36.4948142Z 'guarded_class': 2022-11-23T01:30:36.4948194Z } 2022-11-23T01:30:36.4948258Z 2022-11-23T01:30:36.4948325Z - 2022-11-23T01:30:36.4948510Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.4948575Z { 2022-11-23T01:30:36.4948717Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4948999Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:30:36.4949103Z 'obj_weakref': None 2022-11-23T01:30:36.4949329Z 'guarded_class': 2022-11-23T01:30:36.4949391Z } 2022-11-23T01:30:36.4949459Z 2022-11-23T01:30:36.4949528Z - 2022-11-23T01:30:36.4949710Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.4949773Z { 2022-11-23T01:30:36.4949900Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4950179Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:30:36.4950300Z 'obj_weakref': None 2022-11-23T01:30:36.4950519Z 'guarded_class': 2022-11-23T01:30:36.4950582Z } 2022-11-23T01:30:36.4950645Z 2022-11-23T01:30:36.4950712Z - 2022-11-23T01:30:36.4950882Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.4950945Z { 2022-11-23T01:30:36.4951085Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4951367Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:30:36.4951484Z 'obj_weakref': None 2022-11-23T01:30:36.4951704Z 'guarded_class': 2022-11-23T01:30:36.4951766Z } 2022-11-23T01:30:36.4951828Z 2022-11-23T01:30:36.4951883Z - 2022-11-23T01:30:36.4952069Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.4952130Z { 2022-11-23T01:30:36.4952270Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4952547Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:30:36.4952663Z 'obj_weakref': None 2022-11-23T01:30:36.4952879Z 'guarded_class': 2022-11-23T01:30:36.4952959Z } 2022-11-23T01:30:36.4953023Z 2022-11-23T01:30:36.4953090Z - 2022-11-23T01:30:36.4953272Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:30:36.4953334Z { 2022-11-23T01:30:36.4953474Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4953752Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:30:36.4953889Z 'obj_weakref': None 2022-11-23T01:30:36.4954107Z 'guarded_class': 2022-11-23T01:30:36.4954170Z } 2022-11-23T01:30:36.4954234Z 2022-11-23T01:30:36.4954301Z - 2022-11-23T01:30:36.4954481Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:30:36.4954545Z { 2022-11-23T01:30:36.4954675Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4954953Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:30:36.4955070Z 'obj_weakref': None 2022-11-23T01:30:36.4955285Z 'guarded_class': 2022-11-23T01:30:36.4955347Z } 2022-11-23T01:30:36.4955411Z 2022-11-23T01:30:36.4955673Z [2022-11-23 01:28:52,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419 2022-11-23T01:30:36.4955678Z 2022-11-23T01:30:36.4955771Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4955827Z import torch 2022-11-23T01:30:36.4955896Z import random 2022-11-23T01:30:36.4956009Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4956128Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4956133Z 2022-11-23T01:30:36.4956213Z aten = torch.ops.aten 2022-11-23T01:30:36.4956345Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4956435Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4956440Z 2022-11-23T01:30:36.4956445Z 2022-11-23T01:30:36.4956577Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4956767Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4956889Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4956992Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4957091Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4957152Z { 2022-11-23T01:30:36.4957247Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4957309Z { 2022-11-23T01:30:36.4957375Z #pragma omp for 2022-11-23T01:30:36.4957455Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.4957517Z { 2022-11-23T01:30:36.4957667Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4957796Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.4957881Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4957972Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4958021Z } 2022-11-23T01:30:36.4958114Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4958196Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:30:36.4958261Z { 2022-11-23T01:30:36.4958344Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4958423Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.4958503Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4958570Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.4958631Z } 2022-11-23T01:30:36.4958691Z } 2022-11-23T01:30:36.4958749Z } 2022-11-23T01:30:36.4958826Z ''') 2022-11-23T01:30:36.4958832Z 2022-11-23T01:30:36.4958837Z 2022-11-23T01:30:36.4958924Z async_compile.wait(globals()) 2022-11-23T01:30:36.4959022Z del async_compile 2022-11-23T01:30:36.4959027Z 2022-11-23T01:30:36.4959085Z def call(args): 2022-11-23T01:30:36.4959159Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4959228Z args.clear() 2022-11-23T01:30:36.4959424Z buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4959584Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4959694Z del arg0_1 2022-11-23T01:30:36.4959758Z del arg1_1 2022-11-23T01:30:36.4959816Z return (buf0, ) 2022-11-23T01:30:36.4959833Z 2022-11-23T01:30:36.4959837Z 2022-11-23T01:30:36.4959899Z if __name__ == "__main__": 2022-11-23T01:30:36.4960096Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4960225Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4960426Z arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4960623Z arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4960737Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4960741Z 2022-11-23T01:30:36.4960746Z 2022-11-23T01:30:36.4960838Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4960906Z import torch 2022-11-23T01:30:36.4960963Z import random 2022-11-23T01:30:36.4961075Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4961197Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4961202Z 2022-11-23T01:30:36.4961280Z aten = torch.ops.aten 2022-11-23T01:30:36.4961413Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4961503Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4961508Z 2022-11-23T01:30:36.4961512Z 2022-11-23T01:30:36.4961644Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4961848Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4961957Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4962060Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4962161Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4962220Z { 2022-11-23T01:30:36.4962317Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4962376Z { 2022-11-23T01:30:36.4962452Z #pragma omp for 2022-11-23T01:30:36.4962524Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.4962586Z { 2022-11-23T01:30:36.4962719Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4962847Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.4962973Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.4963058Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4963141Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4963221Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4963284Z } 2022-11-23T01:30:36.4963378Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4963462Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:30:36.4963523Z { 2022-11-23T01:30:36.4963604Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4963686Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.4963771Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.4963856Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4963937Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4964016Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.4964078Z } 2022-11-23T01:30:36.4964137Z } 2022-11-23T01:30:36.4964195Z } 2022-11-23T01:30:36.4964259Z ''') 2022-11-23T01:30:36.4964264Z 2022-11-23T01:30:36.4964268Z 2022-11-23T01:30:36.4964358Z async_compile.wait(globals()) 2022-11-23T01:30:36.4964428Z del async_compile 2022-11-23T01:30:36.4964433Z 2022-11-23T01:30:36.4964504Z def call(args): 2022-11-23T01:30:36.4964612Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4964684Z args.clear() 2022-11-23T01:30:36.4964993Z buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4965154Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4965211Z del arg0_1 2022-11-23T01:30:36.4965277Z del arg1_1 2022-11-23T01:30:36.4965392Z return (buf0, ) 2022-11-23T01:30:36.4965398Z 2022-11-23T01:30:36.4965402Z 2022-11-23T01:30:36.4965477Z if __name__ == "__main__": 2022-11-23T01:30:36.4965590Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4965712Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4965908Z arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4966089Z arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4966206Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4966211Z 2022-11-23T01:30:36.4966215Z 2022-11-23T01:30:36.4966308Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4966379Z import torch 2022-11-23T01:30:36.4966448Z import random 2022-11-23T01:30:36.4966563Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4966683Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4966688Z 2022-11-23T01:30:36.4966767Z aten = torch.ops.aten 2022-11-23T01:30:36.4966886Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4966978Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4966982Z 2022-11-23T01:30:36.4966986Z 2022-11-23T01:30:36.4967118Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4967320Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4967437Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4967543Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4967641Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4967701Z { 2022-11-23T01:30:36.4967785Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4967845Z { 2022-11-23T01:30:36.4967922Z #pragma omp for 2022-11-23T01:30:36.4968002Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.4968063Z { 2022-11-23T01:30:36.4968195Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4968324Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.4968396Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4968486Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4968547Z } 2022-11-23T01:30:36.4968640Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4968725Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.4968787Z { 2022-11-23T01:30:36.4968869Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4968939Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.4969020Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4969098Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.4969159Z } 2022-11-23T01:30:36.4969219Z } 2022-11-23T01:30:36.4969278Z } 2022-11-23T01:30:36.4969343Z ''') 2022-11-23T01:30:36.4969359Z 2022-11-23T01:30:36.4969363Z 2022-11-23T01:30:36.4969438Z async_compile.wait(globals()) 2022-11-23T01:30:36.4969513Z del async_compile 2022-11-23T01:30:36.4969518Z 2022-11-23T01:30:36.4969588Z def call(args): 2022-11-23T01:30:36.4969662Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4969733Z args.clear() 2022-11-23T01:30:36.4969966Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4970126Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4970181Z del arg0_1 2022-11-23T01:30:36.4970281Z del arg1_1 2022-11-23T01:30:36.4970353Z return (buf0, ) 2022-11-23T01:30:36.4970358Z 2022-11-23T01:30:36.4970362Z 2022-11-23T01:30:36.4970435Z if __name__ == "__main__": 2022-11-23T01:30:36.4970550Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4970671Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4970867Z arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4971151Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4971252Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4971270Z 2022-11-23T01:30:36.4971275Z 2022-11-23T01:30:36.4971355Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.4971425Z import torch 2022-11-23T01:30:36.4971494Z import random 2022-11-23T01:30:36.4971608Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.4971729Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.4971734Z 2022-11-23T01:30:36.4971809Z aten = torch.ops.aten 2022-11-23T01:30:36.4971940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.4972053Z async_compile = AsyncCompile() 2022-11-23T01:30:36.4972058Z 2022-11-23T01:30:36.4972074Z 2022-11-23T01:30:36.4972192Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.4972396Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.4972518Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.4972621Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.4972718Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.4972779Z { 2022-11-23T01:30:36.4972875Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.4972924Z { 2022-11-23T01:30:36.4973000Z #pragma omp for 2022-11-23T01:30:36.4973082Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.4973146Z { 2022-11-23T01:30:36.4973277Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.4973407Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.4973535Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.4973607Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4973690Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4973783Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.4973846Z } 2022-11-23T01:30:36.4973938Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.4974023Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.4974085Z { 2022-11-23T01:30:36.4974156Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.4974240Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.4974340Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.4974425Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.4974507Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.4974585Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.4974647Z } 2022-11-23T01:30:36.4974695Z } 2022-11-23T01:30:36.4974756Z } 2022-11-23T01:30:36.4974834Z ''') 2022-11-23T01:30:36.4974839Z 2022-11-23T01:30:36.4974843Z 2022-11-23T01:30:36.4974932Z async_compile.wait(globals()) 2022-11-23T01:30:36.4975004Z del async_compile 2022-11-23T01:30:36.4975011Z 2022-11-23T01:30:36.4975081Z def call(args): 2022-11-23T01:30:36.4975156Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.4975214Z args.clear() 2022-11-23T01:30:36.4975448Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4975609Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.4975677Z del arg0_1 2022-11-23T01:30:36.4975743Z del arg1_1 2022-11-23T01:30:36.4975813Z return (buf0, ) 2022-11-23T01:30:36.4975846Z 2022-11-23T01:30:36.4975850Z 2022-11-23T01:30:36.4975928Z if __name__ == "__main__": 2022-11-23T01:30:36.4976097Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.4976207Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.4976407Z arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4976639Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.4976779Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.4976784Z 2022-11-23T01:30:36.4977153Z [2022-11-23 01:28:52,761] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhjktew4zvwq2ee2wpfjrr2f5nxkzjwzitedo5d6gyyktlxvgiz.py 2022-11-23T01:30:36.4977417Z [2022-11-23 01:28:52,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419 2022-11-23T01:30:36.4977655Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.4977971Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.4978188Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.4978427Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.4978707Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.4979026Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4979376Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4979700Z [2022-11-23 01:28:52,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.4980077Z [2022-11-23 01:28:52,767] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.4980172Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.4980263Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.4980335Z 4 BINARY_ADD 2022-11-23T01:30:36.4980427Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.4980507Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.4980593Z 10 CALL_METHOD 1 2022-11-23T01:30:36.4980684Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.4980757Z 14 BINARY_ADD 2022-11-23T01:30:36.4980847Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.4980924Z 18 RETURN_VALUE 2022-11-23T01:30:36.4980972Z 2022-11-23T01:30:36.4980989Z 2022-11-23T01:30:36.4981292Z [2022-11-23 01:28:52,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.4981500Z [2022-11-23 01:28:52,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.4981743Z [2022-11-23 01:28:52,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.4982079Z [2022-11-23 01:28:52,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.4982320Z [2022-11-23 01:28:52,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.4982627Z [2022-11-23 01:28:52,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.4982933Z [2022-11-23 01:28:52,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.4983168Z [2022-11-23 01:28:52,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.4983437Z [2022-11-23 01:28:52,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.4983691Z [2022-11-23 01:28:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.4983937Z [2022-11-23 01:28:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4984315Z [2022-11-23 01:28:52,770] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.4984566Z [2022-11-23 01:28:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.4984800Z [2022-11-23 01:28:52,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.4985055Z [2022-11-23 01:28:52,772] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.4985301Z [2022-11-23 01:28:52,775] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.4985495Z [2022-11-23 01:28:52,775] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.4985627Z __compiled_fn_428 .3387 opcode, name, target, args, kwargs 2022-11-23T01:30:36.4985703Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.4985793Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.4985963Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.4986073Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:30:36.4986255Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.4986349Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.4986354Z 2022-11-23T01:30:36.4986680Z [2022-11-23 01:28:52,776] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4986775Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4986855Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4986944Z 4 BUILD_MAP 0 2022-11-23T01:30:36.4987035Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.4987120Z 8 DICT_MERGE 1 2022-11-23T01:30:36.4987211Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.4987286Z 12 RETURN_VALUE 2022-11-23T01:30:36.4987291Z 2022-11-23T01:30:36.4987350Z 2022-11-23T01:30:36.4987675Z [2022-11-23 01:28:52,776] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.4987770Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_428) 2022-11-23T01:30:36.4987860Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4987951Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4988026Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.4988116Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.4988203Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.4988276Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.4988350Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.4988453Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4988580Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.4988676Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.4988789Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.4988885Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.4988983Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.4989058Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4989132Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.4989217Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.4989308Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4989432Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4989569Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4989644Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.4989743Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4989820Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.4989914Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.4990003Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.4990078Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.4990177Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.4990252Z 54 RETURN_VALUE 2022-11-23T01:30:36.4990256Z 2022-11-23T01:30:36.4990315Z 2022-11-23T01:30:36.4990486Z [2022-11-23 01:28:52,778] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.4990556Z - 2022-11-23T01:30:36.4990675Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.4990737Z { 2022-11-23T01:30:36.4990877Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.4991061Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.4991179Z 'obj_weakref': None 2022-11-23T01:30:36.4991391Z 'guarded_class': 2022-11-23T01:30:36.4991455Z } 2022-11-23T01:30:36.4991518Z 2022-11-23T01:30:36.4991586Z - 2022-11-23T01:30:36.4991710Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.4991772Z { 2022-11-23T01:30:36.4991912Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4992005Z 'code': None, 2022-11-23T01:30:36.4992215Z 'obj_weakref': 2022-11-23T01:30:36.4992464Z 'guarded_class': 2022-11-23T01:30:36.4992530Z } 2022-11-23T01:30:36.4992592Z 2022-11-23T01:30:36.4992659Z - 2022-11-23T01:30:36.4992779Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.4992829Z { 2022-11-23T01:30:36.4992968Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.4993073Z 'code': None, 2022-11-23T01:30:36.4993280Z 'obj_weakref': 2022-11-23T01:30:36.4993533Z 'guarded_class': 2022-11-23T01:30:36.4993596Z } 2022-11-23T01:30:36.4993658Z 2022-11-23T01:30:36.4993714Z - 2022-11-23T01:30:36.4993844Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.4993907Z { 2022-11-23T01:30:36.4994039Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.4994208Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.4994326Z 'obj_weakref': None 2022-11-23T01:30:36.4994555Z 'guarded_class': 2022-11-23T01:30:36.4994606Z } 2022-11-23T01:30:36.4994667Z 2022-11-23T01:30:36.4994735Z - 2022-11-23T01:30:36.4994856Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.4994917Z { 2022-11-23T01:30:36.4995050Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.4995291Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.4995396Z 'obj_weakref': None 2022-11-23T01:30:36.4995619Z 'guarded_class': 2022-11-23T01:30:36.4995682Z } 2022-11-23T01:30:36.4995745Z 2022-11-23T01:30:36.4995813Z - 2022-11-23T01:30:36.4996015Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.4996078Z { 2022-11-23T01:30:36.4996233Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.4997169Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:30:36.4997290Z 'obj_weakref': None 2022-11-23T01:30:36.4997510Z 'guarded_class': 2022-11-23T01:30:36.4997575Z } 2022-11-23T01:30:36.4997637Z 2022-11-23T01:30:36.4997704Z - 2022-11-23T01:30:36.4997887Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.4997948Z { 2022-11-23T01:30:36.4998076Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4998357Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:30:36.4998475Z 'obj_weakref': None 2022-11-23T01:30:36.4998692Z 'guarded_class': 2022-11-23T01:30:36.4998754Z } 2022-11-23T01:30:36.4998816Z 2022-11-23T01:30:36.4998884Z - 2022-11-23T01:30:36.4999054Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.4999120Z { 2022-11-23T01:30:36.4999260Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.4999541Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:30:36.4999659Z 'obj_weakref': None 2022-11-23T01:30:36.4999879Z 'guarded_class': 2022-11-23T01:30:36.4999975Z } 2022-11-23T01:30:36.5000117Z 2022-11-23T01:30:36.5000175Z - 2022-11-23T01:30:36.5000361Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5000426Z { 2022-11-23T01:30:36.5000568Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5000847Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:30:36.5000966Z 'obj_weakref': None 2022-11-23T01:30:36.5001188Z 'guarded_class': 2022-11-23T01:30:36.5001239Z } 2022-11-23T01:30:36.5001302Z 2022-11-23T01:30:36.5001371Z - 2022-11-23T01:30:36.5001553Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5001617Z { 2022-11-23T01:30:36.5001758Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5002070Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:30:36.5002176Z 'obj_weakref': None 2022-11-23T01:30:36.5002395Z 'guarded_class': 2022-11-23T01:30:36.5002457Z } 2022-11-23T01:30:36.5002521Z 2022-11-23T01:30:36.5002591Z - 2022-11-23T01:30:36.5002774Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:30:36.5002880Z { 2022-11-23T01:30:36.5003009Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5003286Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:30:36.5003403Z 'obj_weakref': None 2022-11-23T01:30:36.5003623Z 'guarded_class': 2022-11-23T01:30:36.5003686Z } 2022-11-23T01:30:36.5003749Z 2022-11-23T01:30:36.5003818Z - 2022-11-23T01:30:36.5003988Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:30:36.5004051Z { 2022-11-23T01:30:36.5004190Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5004473Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94427249894784)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:30:36.5004593Z 'obj_weakref': None 2022-11-23T01:30:36.5004924Z 'guarded_class': 2022-11-23T01:30:36.5004988Z } 2022-11-23T01:30:36.5005050Z 2022-11-23T01:30:36.5005304Z [2022-11-23 01:28:52,784] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420 2022-11-23T01:30:36.5005678Z [2022-11-23 01:28:52,797] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5w/c5wm433znduqfxslbeushucson3meq75nubtvbffui5q4apxh7qf.py 2022-11-23T01:30:36.5005943Z [2022-11-23 01:28:52,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420 2022-11-23T01:30:36.5006181Z [2022-11-23 01:28:52,801] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5006497Z [2022-11-23 01:28:52,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5006716Z [2022-11-23 01:28:52,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5006967Z [2022-11-23 01:28:52,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5007245Z [2022-11-23 01:28:52,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5007565Z [2022-11-23 01:28:52,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5007910Z [2022-11-23 01:28:52,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5008221Z [2022-11-23 01:28:52,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5008598Z [2022-11-23 01:28:52,802] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5008689Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5008782Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5008874Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5008962Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5009099Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5009174Z 10 BINARY_ADD 2022-11-23T01:30:36.5009250Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5009325Z 14 RETURN_VALUE 2022-11-23T01:30:36.5009385Z 2022-11-23T01:30:36.5009391Z 2022-11-23T01:30:36.5009704Z [2022-11-23 01:28:52,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5009948Z [2022-11-23 01:28:52,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5010191Z [2022-11-23 01:28:52,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5010473Z [2022-11-23 01:28:52,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5010776Z [2022-11-23 01:28:52,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5011012Z [2022-11-23 01:28:52,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5011268Z [2022-11-23 01:28:52,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5011507Z [2022-11-23 01:28:52,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5011756Z [2022-11-23 01:28:52,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5012139Z [2022-11-23 01:28:52,805] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5012383Z [2022-11-23 01:28:52,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5012620Z [2022-11-23 01:28:52,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5012877Z [2022-11-23 01:28:52,806] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5013123Z [2022-11-23 01:28:52,809] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5013311Z [2022-11-23 01:28:52,809] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5013435Z __compiled_fn_429 .3393 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5013524Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5013610Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5013709Z call_method, view, view, (ex_0_, [10, 5, 20]), {} 2022-11-23T01:30:36.5013887Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5013980Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5013986Z 2022-11-23T01:30:36.5014312Z [2022-11-23 01:28:52,810] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5014403Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5014480Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5014565Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5014657Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5014741Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5014831Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5014905Z 12 RETURN_VALUE 2022-11-23T01:30:36.5014910Z 2022-11-23T01:30:36.5014970Z 2022-11-23T01:30:36.5015276Z [2022-11-23 01:28:52,810] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5015383Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_429) 2022-11-23T01:30:36.5015471Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5015598Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5015676Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5015762Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5015849Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5015923Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5015997Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5016130Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5016258Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5016352Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5016439Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5016533Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5016634Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5016710Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5016787Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5016874Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5016965Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5017063Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5017150Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5017226Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5017316Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5017408Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5017503Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5017591Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5017666Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5017765Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5017840Z 54 RETURN_VALUE 2022-11-23T01:30:36.5017845Z 2022-11-23T01:30:36.5017908Z 2022-11-23T01:30:36.5018079Z [2022-11-23 01:28:52,811] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5018149Z - 2022-11-23T01:30:36.5018268Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5018333Z { 2022-11-23T01:30:36.5018474Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5018659Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5018779Z 'obj_weakref': None 2022-11-23T01:30:36.5018993Z 'guarded_class': 2022-11-23T01:30:36.5019059Z } 2022-11-23T01:30:36.5019123Z 2022-11-23T01:30:36.5019192Z - 2022-11-23T01:30:36.5019315Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5019379Z { 2022-11-23T01:30:36.5019519Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5019611Z 'code': None, 2022-11-23T01:30:36.5019821Z 'obj_weakref': 2022-11-23T01:30:36.5020076Z 'guarded_class': 2022-11-23T01:30:36.5020143Z } 2022-11-23T01:30:36.5020208Z 2022-11-23T01:30:36.5020276Z - 2022-11-23T01:30:36.5020398Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5020451Z { 2022-11-23T01:30:36.5020593Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5020699Z 'code': None, 2022-11-23T01:30:36.5020909Z 'obj_weakref': 2022-11-23T01:30:36.5021160Z 'guarded_class': 2022-11-23T01:30:36.5021223Z } 2022-11-23T01:30:36.5021286Z 2022-11-23T01:30:36.5021342Z - 2022-11-23T01:30:36.5021497Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5021565Z { 2022-11-23T01:30:36.5021698Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5021866Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5021985Z 'obj_weakref': None 2022-11-23T01:30:36.5022217Z 'guarded_class': 2022-11-23T01:30:36.5022295Z } 2022-11-23T01:30:36.5022358Z 2022-11-23T01:30:36.5022429Z - 2022-11-23T01:30:36.5022550Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5022613Z { 2022-11-23T01:30:36.5022747Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5022963Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5023068Z 'obj_weakref': None 2022-11-23T01:30:36.5023291Z 'guarded_class': 2022-11-23T01:30:36.5023355Z } 2022-11-23T01:30:36.5023421Z 2022-11-23T01:30:36.5023551Z - 2022-11-23T01:30:36.5023725Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5023788Z { 2022-11-23T01:30:36.5023942Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5024589Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents == [10, 5, 20]'], 2022-11-23T01:30:36.5024711Z 'obj_weakref': None 2022-11-23T01:30:36.5024930Z 'guarded_class': 2022-11-23T01:30:36.5024998Z } 2022-11-23T01:30:36.5025062Z 2022-11-23T01:30:36.5025130Z - 2022-11-23T01:30:36.5025316Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5025366Z { 2022-11-23T01:30:36.5025507Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5025796Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5025916Z 'obj_weakref': None 2022-11-23T01:30:36.5026135Z 'guarded_class': 2022-11-23T01:30:36.5026198Z } 2022-11-23T01:30:36.5026288Z 2022-11-23T01:30:36.5026344Z - 2022-11-23T01:30:36.5026526Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5026589Z { 2022-11-23T01:30:36.5026733Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5027013Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 5'], 2022-11-23T01:30:36.5027130Z 'obj_weakref': None 2022-11-23T01:30:36.5027348Z 'guarded_class': 2022-11-23T01:30:36.5027411Z } 2022-11-23T01:30:36.5027464Z 2022-11-23T01:30:36.5027532Z - 2022-11-23T01:30:36.5027713Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5027777Z { 2022-11-23T01:30:36.5027918Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5028200Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:30:36.5028316Z 'obj_weakref': None 2022-11-23T01:30:36.5028549Z 'guarded_class': 2022-11-23T01:30:36.5028614Z } 2022-11-23T01:30:36.5028676Z 2022-11-23T01:30:36.5028935Z [2022-11-23 01:28:52,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421 2022-11-23T01:30:36.5029304Z [2022-11-23 01:28:54,307] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpvo3mqvayxhsyt4xqt523iopudgxjac4fhrls7gk24rjn53kv6m.py 2022-11-23T01:30:36.5029597Z [2022-11-23 01:28:54,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421 2022-11-23T01:30:36.5029834Z [2022-11-23 01:28:54,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5030147Z [2022-11-23 01:28:54,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5030366Z [2022-11-23 01:28:54,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5030608Z [2022-11-23 01:28:54,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5030885Z [2022-11-23 01:28:54,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5031205Z [2022-11-23 01:28:54,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5031550Z [2022-11-23 01:28:54,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5031873Z [2022-11-23 01:28:54,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5032247Z [2022-11-23 01:28:54,312] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5032340Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5032429Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5032501Z 4 BINARY_ADD 2022-11-23T01:30:36.5032582Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5032671Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5032758Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5032847Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5032919Z 14 BINARY_ADD 2022-11-23T01:30:36.5033006Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5033080Z 18 RETURN_VALUE 2022-11-23T01:30:36.5033129Z 2022-11-23T01:30:36.5033135Z 2022-11-23T01:30:36.5033450Z [2022-11-23 01:28:54,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5033658Z [2022-11-23 01:28:54,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5033896Z [2022-11-23 01:28:54,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5034175Z [2022-11-23 01:28:54,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5034417Z [2022-11-23 01:28:54,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5034696Z [2022-11-23 01:28:54,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5034998Z [2022-11-23 01:28:54,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5035231Z [2022-11-23 01:28:54,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5035519Z [2022-11-23 01:28:54,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5035761Z [2022-11-23 01:28:54,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5036003Z [2022-11-23 01:28:54,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5036411Z [2022-11-23 01:28:54,316] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5036655Z [2022-11-23 01:28:54,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5036887Z [2022-11-23 01:28:54,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5037141Z [2022-11-23 01:28:54,317] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5037391Z [2022-11-23 01:28:54,321] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5037577Z [2022-11-23 01:28:54,321] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5037710Z __compiled_fn_430 .3399 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5037785Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5037872Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5038046Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5038146Z call_method, view, view, (add, [10, 5, 20]), {} 2022-11-23T01:30:36.5038324Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5038418Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5038424Z 2022-11-23T01:30:36.5038749Z [2022-11-23 01:28:54,322] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5038842Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5038918Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5039004Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5039096Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5039182Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5039272Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5039346Z 12 RETURN_VALUE 2022-11-23T01:30:36.5039351Z 2022-11-23T01:30:36.5039411Z 2022-11-23T01:30:36.5039719Z [2022-11-23 01:28:54,322] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5039826Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_430) 2022-11-23T01:30:36.5039914Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5040072Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5040151Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5040238Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5040351Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5040438Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5040563Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5040691Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5040824Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5040920Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5041006Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5041101Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5041201Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5041276Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5041351Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5041477Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5041570Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5041667Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5041753Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5041828Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5041917Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5042035Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5042130Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5042216Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5042291Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5042390Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5042464Z 54 RETURN_VALUE 2022-11-23T01:30:36.5042469Z 2022-11-23T01:30:36.5042516Z 2022-11-23T01:30:36.5042707Z [2022-11-23 01:28:54,323] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5042777Z - 2022-11-23T01:30:36.5042895Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5042960Z { 2022-11-23T01:30:36.5043099Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5043285Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5043390Z 'obj_weakref': None 2022-11-23T01:30:36.5043617Z 'guarded_class': 2022-11-23T01:30:36.5043680Z } 2022-11-23T01:30:36.5043743Z 2022-11-23T01:30:36.5043811Z - 2022-11-23T01:30:36.5043933Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5043995Z { 2022-11-23T01:30:36.5044124Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5044229Z 'code': None, 2022-11-23T01:30:36.5044441Z 'obj_weakref': 2022-11-23T01:30:36.5044692Z 'guarded_class': 2022-11-23T01:30:36.5044860Z } 2022-11-23T01:30:36.5044924Z 2022-11-23T01:30:36.5044997Z - 2022-11-23T01:30:36.5045107Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5045170Z { 2022-11-23T01:30:36.5045310Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5045419Z 'code': None, 2022-11-23T01:30:36.5045629Z 'obj_weakref': 2022-11-23T01:30:36.5045878Z 'guarded_class': 2022-11-23T01:30:36.5045942Z } 2022-11-23T01:30:36.5046006Z 2022-11-23T01:30:36.5046061Z - 2022-11-23T01:30:36.5046191Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5046254Z { 2022-11-23T01:30:36.5046388Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5046557Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5046674Z 'obj_weakref': None 2022-11-23T01:30:36.5046891Z 'guarded_class': 2022-11-23T01:30:36.5046954Z } 2022-11-23T01:30:36.5047016Z 2022-11-23T01:30:36.5047087Z - 2022-11-23T01:30:36.5047207Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5047269Z { 2022-11-23T01:30:36.5047403Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5047605Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5047722Z 'obj_weakref': None 2022-11-23T01:30:36.5047944Z 'guarded_class': 2022-11-23T01:30:36.5048053Z } 2022-11-23T01:30:36.5048117Z 2022-11-23T01:30:36.5048184Z - 2022-11-23T01:30:36.5048359Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5048409Z { 2022-11-23T01:30:36.5048576Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5049224Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents == [10, 5, 20]'], 2022-11-23T01:30:36.5049394Z 'obj_weakref': None 2022-11-23T01:30:36.5049614Z 'guarded_class': 2022-11-23T01:30:36.5049676Z } 2022-11-23T01:30:36.5049742Z 2022-11-23T01:30:36.5049810Z - 2022-11-23T01:30:36.5049991Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5050042Z { 2022-11-23T01:30:36.5050182Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5050464Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5050586Z 'obj_weakref': None 2022-11-23T01:30:36.5050805Z 'guarded_class': 2022-11-23T01:30:36.5050868Z } 2022-11-23T01:30:36.5050931Z 2022-11-23T01:30:36.5050987Z - 2022-11-23T01:30:36.5051169Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5051234Z { 2022-11-23T01:30:36.5051375Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5051656Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 5'], 2022-11-23T01:30:36.5051773Z 'obj_weakref': None 2022-11-23T01:30:36.5051993Z 'guarded_class': 2022-11-23T01:30:36.5052043Z } 2022-11-23T01:30:36.5052105Z 2022-11-23T01:30:36.5052173Z - 2022-11-23T01:30:36.5052358Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5052422Z { 2022-11-23T01:30:36.5052561Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5052841Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:30:36.5052958Z 'obj_weakref': None 2022-11-23T01:30:36.5053166Z 'guarded_class': 2022-11-23T01:30:36.5053230Z } 2022-11-23T01:30:36.5053293Z 2022-11-23T01:30:36.5053552Z [2022-11-23 01:28:54,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422 2022-11-23T01:30:36.5053928Z [2022-11-23 01:28:56,578] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ow/cowijhomcnpr3wkc7oseyftyiqvgbm2fbgpmztmvqz7zpc5cw6gc.py 2022-11-23T01:30:36.5054195Z [2022-11-23 01:28:56,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422 2022-11-23T01:30:36.5054430Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5054742Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5054947Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5055237Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5055517Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5055838Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5056212Z [2022-11-23 01:28:56,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5056538Z [2022-11-23 01:28:56,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5056915Z [2022-11-23 01:28:56,584] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5057006Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5057099Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5057191Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5057264Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5057351Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5057430Z 10 BINARY_ADD 2022-11-23T01:30:36.5057517Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5057592Z 14 RETURN_VALUE 2022-11-23T01:30:36.5057652Z 2022-11-23T01:30:36.5057658Z 2022-11-23T01:30:36.5057973Z [2022-11-23 01:28:56,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5058167Z [2022-11-23 01:28:56,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5058411Z [2022-11-23 01:28:56,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5058690Z [2022-11-23 01:28:56,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5058992Z [2022-11-23 01:28:56,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5059227Z [2022-11-23 01:28:56,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5059499Z [2022-11-23 01:28:56,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5059739Z [2022-11-23 01:28:56,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5059983Z [2022-11-23 01:28:56,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5060365Z [2022-11-23 01:28:56,587] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5060607Z [2022-11-23 01:28:56,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5060826Z [2022-11-23 01:28:56,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5061082Z [2022-11-23 01:28:56,588] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5061331Z [2022-11-23 01:28:56,591] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5061520Z [2022-11-23 01:28:56,592] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5061654Z __compiled_fn_431 .3405 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5061744Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5061856Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5061953Z call_method, view, view, (ex_0_, [10]), {} 2022-11-23T01:30:36.5062118Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5062213Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5062218Z 2022-11-23T01:30:36.5062545Z [2022-11-23 01:28:56,592] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5062671Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5062764Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5062850Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5062942Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5063026Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5063101Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5063176Z 12 RETURN_VALUE 2022-11-23T01:30:36.5063182Z 2022-11-23T01:30:36.5063245Z 2022-11-23T01:30:36.5063568Z [2022-11-23 01:28:56,592] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5063678Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_431) 2022-11-23T01:30:36.5063768Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5063858Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5063924Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5064012Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5064099Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5064173Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5064260Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5064364Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5064492Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5064591Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5064667Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5064765Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5064867Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5064955Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5065031Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5065121Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5065213Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5065299Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5065386Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5065461Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5065563Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5065652Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5065749Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5065836Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5065899Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5066000Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5066075Z 54 RETURN_VALUE 2022-11-23T01:30:36.5066079Z 2022-11-23T01:30:36.5066142Z 2022-11-23T01:30:36.5066326Z [2022-11-23 01:28:56,593] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5066399Z - 2022-11-23T01:30:36.5066516Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5066568Z { 2022-11-23T01:30:36.5066707Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5066894Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5067011Z 'obj_weakref': None 2022-11-23T01:30:36.5067241Z 'guarded_class': 2022-11-23T01:30:36.5067333Z } 2022-11-23T01:30:36.5067398Z 2022-11-23T01:30:36.5067453Z - 2022-11-23T01:30:36.5067575Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5067637Z { 2022-11-23T01:30:36.5067778Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5067884Z 'code': None, 2022-11-23T01:30:36.5068097Z 'obj_weakref': 2022-11-23T01:30:36.5068378Z 'guarded_class': 2022-11-23T01:30:36.5068442Z } 2022-11-23T01:30:36.5068493Z 2022-11-23T01:30:36.5068561Z - 2022-11-23T01:30:36.5068684Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5068748Z { 2022-11-23T01:30:36.5068890Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5068996Z 'code': None, 2022-11-23T01:30:36.5069195Z 'obj_weakref': 2022-11-23T01:30:36.5069448Z 'guarded_class': 2022-11-23T01:30:36.5069510Z } 2022-11-23T01:30:36.5069574Z 2022-11-23T01:30:36.5069645Z - 2022-11-23T01:30:36.5069774Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5069841Z { 2022-11-23T01:30:36.5069964Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5070132Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5070249Z 'obj_weakref': None 2022-11-23T01:30:36.5070481Z 'guarded_class': 2022-11-23T01:30:36.5070545Z } 2022-11-23T01:30:36.5070607Z 2022-11-23T01:30:36.5070675Z - 2022-11-23T01:30:36.5070782Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5070848Z { 2022-11-23T01:30:36.5070984Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5071198Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5071315Z 'obj_weakref': None 2022-11-23T01:30:36.5071533Z 'guarded_class': 2022-11-23T01:30:36.5071596Z } 2022-11-23T01:30:36.5071649Z 2022-11-23T01:30:36.5071716Z - 2022-11-23T01:30:36.5071892Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5071958Z { 2022-11-23T01:30:36.5072122Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5072568Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents == [10]'], 2022-11-23T01:30:36.5072686Z 'obj_weakref': None 2022-11-23T01:30:36.5072903Z 'guarded_class': 2022-11-23T01:30:36.5072955Z } 2022-11-23T01:30:36.5073019Z 2022-11-23T01:30:36.5073086Z - 2022-11-23T01:30:36.5073269Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5073334Z { 2022-11-23T01:30:36.5073473Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5073754Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5073858Z 'obj_weakref': None 2022-11-23T01:30:36.5074076Z 'guarded_class': 2022-11-23T01:30:36.5074139Z } 2022-11-23T01:30:36.5074202Z 2022-11-23T01:30:36.5074513Z [2022-11-23 01:28:56,599] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423 2022-11-23T01:30:36.5074520Z 2022-11-23T01:30:36.5074615Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5074683Z import torch 2022-11-23T01:30:36.5074752Z import random 2022-11-23T01:30:36.5074854Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5074975Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5075006Z 2022-11-23T01:30:36.5075085Z aten = torch.ops.aten 2022-11-23T01:30:36.5075219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5075311Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5075317Z 2022-11-23T01:30:36.5075321Z 2022-11-23T01:30:36.5075454Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5075659Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5075779Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5075871Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5075969Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5076030Z { 2022-11-23T01:30:36.5076128Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5076189Z { 2022-11-23T01:30:36.5076266Z #pragma omp for 2022-11-23T01:30:36.5076349Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.5076401Z { 2022-11-23T01:30:36.5076544Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5076674Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5076758Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5076849Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5076912Z } 2022-11-23T01:30:36.5077005Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5077077Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.5077142Z { 2022-11-23T01:30:36.5077225Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5077307Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5077388Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5077467Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5077529Z } 2022-11-23T01:30:36.5077578Z } 2022-11-23T01:30:36.5077638Z } 2022-11-23T01:30:36.5077714Z ''') 2022-11-23T01:30:36.5077721Z 2022-11-23T01:30:36.5077726Z 2022-11-23T01:30:36.5077813Z async_compile.wait(globals()) 2022-11-23T01:30:36.5077886Z del async_compile 2022-11-23T01:30:36.5077890Z 2022-11-23T01:30:36.5077960Z def call(args): 2022-11-23T01:30:36.5078034Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5078091Z args.clear() 2022-11-23T01:30:36.5078327Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5078490Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5078558Z del arg0_1 2022-11-23T01:30:36.5078626Z del arg1_1 2022-11-23T01:30:36.5078696Z return (buf0, ) 2022-11-23T01:30:36.5078701Z 2022-11-23T01:30:36.5078705Z 2022-11-23T01:30:36.5078779Z if __name__ == "__main__": 2022-11-23T01:30:36.5078893Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5079003Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5079222Z arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5079453Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5079565Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5079569Z 2022-11-23T01:30:36.5079574Z 2022-11-23T01:30:36.5079666Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5079735Z import torch 2022-11-23T01:30:36.5079803Z import random 2022-11-23T01:30:36.5079944Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5080138Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5080144Z 2022-11-23T01:30:36.5080224Z aten = torch.ops.aten 2022-11-23T01:30:36.5080356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5080447Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5080451Z 2022-11-23T01:30:36.5080455Z 2022-11-23T01:30:36.5080591Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5080827Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5080944Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5081047Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5081133Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5081195Z { 2022-11-23T01:30:36.5081291Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5081352Z { 2022-11-23T01:30:36.5081432Z #pragma omp for 2022-11-23T01:30:36.5081513Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.5081575Z { 2022-11-23T01:30:36.5081696Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5081825Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5081951Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5082039Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5082122Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5082213Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5082274Z } 2022-11-23T01:30:36.5082356Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5082441Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.5082502Z { 2022-11-23T01:30:36.5082585Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5082667Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5082767Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5082849Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5082917Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5082995Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5083056Z } 2022-11-23T01:30:36.5083178Z } 2022-11-23T01:30:36.5083236Z } 2022-11-23T01:30:36.5083313Z ''') 2022-11-23T01:30:36.5083318Z 2022-11-23T01:30:36.5083322Z 2022-11-23T01:30:36.5083413Z async_compile.wait(globals()) 2022-11-23T01:30:36.5083473Z del async_compile 2022-11-23T01:30:36.5083489Z 2022-11-23T01:30:36.5083547Z def call(args): 2022-11-23T01:30:36.5083620Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5083690Z args.clear() 2022-11-23T01:30:36.5083921Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5084079Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5084149Z del arg0_1 2022-11-23T01:30:36.5084215Z del arg1_1 2022-11-23T01:30:36.5084273Z return (buf0, ) 2022-11-23T01:30:36.5084278Z 2022-11-23T01:30:36.5084282Z 2022-11-23T01:30:36.5084358Z if __name__ == "__main__": 2022-11-23T01:30:36.5084471Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5084592Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5084934Z arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5085171Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5085285Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5085290Z 2022-11-23T01:30:36.5085294Z 2022-11-23T01:30:36.5085386Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5085443Z import torch 2022-11-23T01:30:36.5085513Z import random 2022-11-23T01:30:36.5085625Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5085790Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5085796Z 2022-11-23T01:30:36.5085874Z aten = torch.ops.aten 2022-11-23T01:30:36.5086006Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5086096Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5086101Z 2022-11-23T01:30:36.5086105Z 2022-11-23T01:30:36.5086237Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5086462Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5086581Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5086683Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5086782Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5086843Z { 2022-11-23T01:30:36.5086939Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5086999Z { 2022-11-23T01:30:36.5087062Z #pragma omp for 2022-11-23T01:30:36.5087146Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5087210Z { 2022-11-23T01:30:36.5087343Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5087473Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5087559Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5087648Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5087700Z } 2022-11-23T01:30:36.5087793Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5087879Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5087941Z { 2022-11-23T01:30:36.5088025Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5088106Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5088186Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5088253Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5088314Z } 2022-11-23T01:30:36.5088374Z } 2022-11-23T01:30:36.5088432Z } 2022-11-23T01:30:36.5088513Z ''') 2022-11-23T01:30:36.5088518Z 2022-11-23T01:30:36.5088522Z 2022-11-23T01:30:36.5088609Z async_compile.wait(globals()) 2022-11-23T01:30:36.5088682Z del async_compile 2022-11-23T01:30:36.5088687Z 2022-11-23T01:30:36.5088757Z def call(args): 2022-11-23T01:30:36.5088819Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5088888Z args.clear() 2022-11-23T01:30:36.5089094Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5089258Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5089325Z del arg0_1 2022-11-23T01:30:36.5089391Z del arg1_1 2022-11-23T01:30:36.5089461Z return (buf0, ) 2022-11-23T01:30:36.5089466Z 2022-11-23T01:30:36.5089470Z 2022-11-23T01:30:36.5089533Z if __name__ == "__main__": 2022-11-23T01:30:36.5089645Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5089768Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5089967Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5090175Z arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5090288Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5090293Z 2022-11-23T01:30:36.5090297Z 2022-11-23T01:30:36.5090388Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5090459Z import torch 2022-11-23T01:30:36.5090516Z import random 2022-11-23T01:30:36.5090627Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5090746Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5090751Z 2022-11-23T01:30:36.5090828Z aten = torch.ops.aten 2022-11-23T01:30:36.5090959Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5091049Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5091053Z 2022-11-23T01:30:36.5091057Z 2022-11-23T01:30:36.5091216Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5091424Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5091529Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5091633Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5091732Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5091792Z { 2022-11-23T01:30:36.5091930Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5091990Z { 2022-11-23T01:30:36.5092065Z #pragma omp for 2022-11-23T01:30:36.5092135Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5092196Z { 2022-11-23T01:30:36.5092328Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5092455Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5092581Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5092670Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5092753Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5092844Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5092895Z } 2022-11-23T01:30:36.5092992Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5093079Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5093142Z { 2022-11-23T01:30:36.5093224Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5093307Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5093393Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5093477Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5093557Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5093637Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5093698Z } 2022-11-23T01:30:36.5093758Z } 2022-11-23T01:30:36.5093822Z } 2022-11-23T01:30:36.5093888Z ''') 2022-11-23T01:30:36.5093893Z 2022-11-23T01:30:36.5093897Z 2022-11-23T01:30:36.5093987Z async_compile.wait(globals()) 2022-11-23T01:30:36.5094059Z del async_compile 2022-11-23T01:30:36.5094064Z 2022-11-23T01:30:36.5094134Z def call(args): 2022-11-23T01:30:36.5094209Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5094279Z args.clear() 2022-11-23T01:30:36.5094485Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5094644Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5094704Z del arg0_1 2022-11-23T01:30:36.5094769Z del arg1_1 2022-11-23T01:30:36.5094842Z return (buf0, ) 2022-11-23T01:30:36.5094847Z 2022-11-23T01:30:36.5094851Z 2022-11-23T01:30:36.5094929Z if __name__ == "__main__": 2022-11-23T01:30:36.5095043Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5095168Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5095366Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5095559Z arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5095674Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5095678Z 2022-11-23T01:30:36.5096042Z [2022-11-23 01:28:58,776] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y4/cy4s5swkb4out6x5m5g2gcuapxwis7kfowm7vj7wh6uw7qjhtn5z.py 2022-11-23T01:30:36.5096313Z [2022-11-23 01:28:58,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423 2022-11-23T01:30:36.5096549Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5096861Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5097076Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5097354Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5097634Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5097953Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5098311Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5098633Z [2022-11-23 01:28:58,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5099012Z [2022-11-23 01:28:58,794] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5099104Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5099196Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5099273Z 4 BINARY_ADD 2022-11-23T01:30:36.5099366Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5099457Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5099544Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5099622Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5099695Z 14 BINARY_ADD 2022-11-23T01:30:36.5099783Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5099861Z 18 RETURN_VALUE 2022-11-23T01:30:36.5099922Z 2022-11-23T01:30:36.5099927Z 2022-11-23T01:30:36.5100237Z [2022-11-23 01:28:58,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5100448Z [2022-11-23 01:28:58,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5100673Z [2022-11-23 01:28:58,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5100956Z [2022-11-23 01:28:58,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5101197Z [2022-11-23 01:28:58,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5101481Z [2022-11-23 01:28:58,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5101780Z [2022-11-23 01:28:58,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5102014Z [2022-11-23 01:28:58,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5102288Z [2022-11-23 01:28:58,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5102532Z [2022-11-23 01:28:58,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5102774Z [2022-11-23 01:28:58,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5103152Z [2022-11-23 01:28:58,800] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5103385Z [2022-11-23 01:28:58,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5103616Z [2022-11-23 01:28:58,801] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5103870Z [2022-11-23 01:28:58,803] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5104145Z [2022-11-23 01:28:58,810] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5104335Z [2022-11-23 01:28:58,811] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5104471Z __compiled_fn_432 .3411 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5104560Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5104646Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5104835Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5104930Z call_method, view, view, (add, [10]), {} 2022-11-23T01:30:36.5105108Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5105204Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5105209Z 2022-11-23T01:30:36.5105537Z [2022-11-23 01:28:58,812] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5105633Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5105724Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5105809Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5105889Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5105974Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5106062Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5106142Z 12 RETURN_VALUE 2022-11-23T01:30:36.5106146Z 2022-11-23T01:30:36.5106206Z 2022-11-23T01:30:36.5106525Z [2022-11-23 01:28:58,812] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5106632Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_432) 2022-11-23T01:30:36.5106719Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5106795Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5106874Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5106961Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5107046Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5107120Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5107205Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5107308Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5107428Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5107527Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5107613Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5107711Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5107809Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5107895Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5107970Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5108057Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5108138Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5108235Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5108321Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5108395Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5108496Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5108586Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5108684Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5108757Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5108834Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5108933Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5109006Z 54 RETURN_VALUE 2022-11-23T01:30:36.5109011Z 2022-11-23T01:30:36.5109071Z 2022-11-23T01:30:36.5109254Z [2022-11-23 01:28:58,814] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5109353Z - 2022-11-23T01:30:36.5109461Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5109525Z { 2022-11-23T01:30:36.5109665Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5109851Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5109970Z 'obj_weakref': None 2022-11-23T01:30:36.5110194Z 'guarded_class': 2022-11-23T01:30:36.5110285Z } 2022-11-23T01:30:36.5110336Z 2022-11-23T01:30:36.5110406Z - 2022-11-23T01:30:36.5110527Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5110589Z { 2022-11-23T01:30:36.5110729Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5110833Z 'code': None, 2022-11-23T01:30:36.5111046Z 'obj_weakref': 2022-11-23T01:30:36.5111288Z 'guarded_class': 2022-11-23T01:30:36.5111351Z } 2022-11-23T01:30:36.5111414Z 2022-11-23T01:30:36.5111481Z - 2022-11-23T01:30:36.5111602Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5111664Z { 2022-11-23T01:30:36.5111804Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5111924Z 'code': None, 2022-11-23T01:30:36.5112239Z 'obj_weakref': 2022-11-23T01:30:36.5112535Z 'guarded_class': 2022-11-23T01:30:36.5112599Z } 2022-11-23T01:30:36.5112661Z 2022-11-23T01:30:36.5112729Z - 2022-11-23T01:30:36.5112859Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5112909Z { 2022-11-23T01:30:36.5113045Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5113213Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5113331Z 'obj_weakref': None 2022-11-23T01:30:36.5113561Z 'guarded_class': 2022-11-23T01:30:36.5113624Z } 2022-11-23T01:30:36.5113685Z 2022-11-23T01:30:36.5113740Z - 2022-11-23T01:30:36.5113863Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5113926Z { 2022-11-23T01:30:36.5114061Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5114277Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5114393Z 'obj_weakref': None 2022-11-23T01:30:36.5114612Z 'guarded_class': 2022-11-23T01:30:36.5114662Z } 2022-11-23T01:30:36.5114723Z 2022-11-23T01:30:36.5114793Z - 2022-11-23T01:30:36.5114971Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5115035Z { 2022-11-23T01:30:36.5115200Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5115643Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents == [10]'], 2022-11-23T01:30:36.5115764Z 'obj_weakref': None 2022-11-23T01:30:36.5115972Z 'guarded_class': 2022-11-23T01:30:36.5116037Z } 2022-11-23T01:30:36.5116100Z 2022-11-23T01:30:36.5116167Z - 2022-11-23T01:30:36.5116351Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5116415Z { 2022-11-23T01:30:36.5116592Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5116866Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5116983Z 'obj_weakref': None 2022-11-23T01:30:36.5117201Z 'guarded_class': 2022-11-23T01:30:36.5117301Z } 2022-11-23T01:30:36.5117363Z 2022-11-23T01:30:36.5117624Z [2022-11-23 01:28:58,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424 2022-11-23T01:30:36.5117990Z [2022-11-23 01:29:01,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2uc3qsaruj7zu7kvermcr3g34uvqsqjzbdhcoclavsdr6ro5qo.py 2022-11-23T01:30:36.5118255Z [2022-11-23 01:29:01,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424 2022-11-23T01:30:36.5118480Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5118796Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5119010Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5119262Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5119540Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5119856Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5120298Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5120622Z [2022-11-23 01:29:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5120999Z [2022-11-23 01:29:01,108] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5121094Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5121175Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5121268Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5121354Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5121445Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5121518Z 10 BINARY_ADD 2022-11-23T01:30:36.5121606Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5121681Z 14 RETURN_VALUE 2022-11-23T01:30:36.5121731Z 2022-11-23T01:30:36.5121737Z 2022-11-23T01:30:36.5122052Z [2022-11-23 01:29:01,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5122262Z [2022-11-23 01:29:01,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5122501Z [2022-11-23 01:29:01,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5122871Z [2022-11-23 01:29:01,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5123177Z [2022-11-23 01:29:01,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5123414Z [2022-11-23 01:29:01,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5123724Z [2022-11-23 01:29:01,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5123965Z [2022-11-23 01:29:01,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5124210Z [2022-11-23 01:29:01,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5124575Z [2022-11-23 01:29:01,113] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5124955Z [2022-11-23 01:29:01,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5125191Z [2022-11-23 01:29:01,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5125444Z [2022-11-23 01:29:01,116] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5125697Z [2022-11-23 01:29:01,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5125884Z [2022-11-23 01:29:01,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5126017Z __compiled_fn_433 .3417 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5126107Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5126179Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5126282Z call_method, view, view, (ex_0_, [10, 100]), {} 2022-11-23T01:30:36.5126462Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5126556Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5126561Z 2022-11-23T01:30:36.5126886Z [2022-11-23 01:29:01,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5126980Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5127070Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5127157Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5127236Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5127320Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5127408Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5127483Z 12 RETURN_VALUE 2022-11-23T01:30:36.5127488Z 2022-11-23T01:30:36.5127549Z 2022-11-23T01:30:36.5127872Z [2022-11-23 01:29:01,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5127980Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_433) 2022-11-23T01:30:36.5128067Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5128142Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5128219Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5128305Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5128392Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5128468Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5128553Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5128654Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5128770Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5128866Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5128955Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5129051Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5129150Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5129238Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5129313Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5129387Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5129478Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5129622Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5129712Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5129787Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5129888Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5129979Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5130075Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5130183Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5130258Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5130356Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5130430Z 54 RETURN_VALUE 2022-11-23T01:30:36.5130435Z 2022-11-23T01:30:36.5130497Z 2022-11-23T01:30:36.5130682Z [2022-11-23 01:29:01,123] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5130751Z - 2022-11-23T01:30:36.5130856Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5130921Z { 2022-11-23T01:30:36.5131062Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5131248Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5131366Z 'obj_weakref': None 2022-11-23T01:30:36.5131590Z 'guarded_class': 2022-11-23T01:30:36.5131653Z } 2022-11-23T01:30:36.5131706Z 2022-11-23T01:30:36.5131774Z - 2022-11-23T01:30:36.5131896Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5131959Z { 2022-11-23T01:30:36.5132100Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5132206Z 'code': None, 2022-11-23T01:30:36.5132418Z 'obj_weakref': 2022-11-23T01:30:36.5132658Z 'guarded_class': 2022-11-23T01:30:36.5132725Z } 2022-11-23T01:30:36.5132787Z 2022-11-23T01:30:36.5132854Z - 2022-11-23T01:30:36.5132974Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5133036Z { 2022-11-23T01:30:36.5133175Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5133268Z 'code': None, 2022-11-23T01:30:36.5133476Z 'obj_weakref': 2022-11-23T01:30:36.5133730Z 'guarded_class': 2022-11-23T01:30:36.5133794Z } 2022-11-23T01:30:36.5133858Z 2022-11-23T01:30:36.5133925Z - 2022-11-23T01:30:36.5134053Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5134104Z { 2022-11-23T01:30:36.5134235Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5134405Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5134526Z 'obj_weakref': None 2022-11-23T01:30:36.5134755Z 'guarded_class': 2022-11-23T01:30:36.5134819Z } 2022-11-23T01:30:36.5134883Z 2022-11-23T01:30:36.5134939Z - 2022-11-23T01:30:36.5135058Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5135120Z { 2022-11-23T01:30:36.5135258Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5135471Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5135589Z 'obj_weakref': None 2022-11-23T01:30:36.5135809Z 'guarded_class': 2022-11-23T01:30:36.5135860Z } 2022-11-23T01:30:36.5135924Z 2022-11-23T01:30:36.5135992Z - 2022-11-23T01:30:36.5136199Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5136265Z { 2022-11-23T01:30:36.5136433Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5136980Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [10, 100]'], 2022-11-23T01:30:36.5137140Z 'obj_weakref': None 2022-11-23T01:30:36.5137349Z 'guarded_class': 2022-11-23T01:30:36.5137412Z } 2022-11-23T01:30:36.5137476Z 2022-11-23T01:30:36.5137545Z - 2022-11-23T01:30:36.5137728Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5137793Z { 2022-11-23T01:30:36.5137936Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5138208Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5138327Z 'obj_weakref': None 2022-11-23T01:30:36.5138550Z 'guarded_class': 2022-11-23T01:30:36.5138614Z } 2022-11-23T01:30:36.5138680Z 2022-11-23T01:30:36.5138747Z - 2022-11-23T01:30:36.5138931Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5138982Z { 2022-11-23T01:30:36.5139125Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5139408Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:30:36.5139525Z 'obj_weakref': None 2022-11-23T01:30:36.5139749Z 'guarded_class': 2022-11-23T01:30:36.5139813Z } 2022-11-23T01:30:36.5139876Z 2022-11-23T01:30:36.5140139Z [2022-11-23 01:29:01,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425 2022-11-23T01:30:36.5140502Z [2022-11-23 01:29:01,147] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/un/cunsondapeqv6dspoufyxdrskobi3t3roupnwo33i3jpfknrybia.py 2022-11-23T01:30:36.5140769Z [2022-11-23 01:29:01,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425 2022-11-23T01:30:36.5141005Z [2022-11-23 01:29:01,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5141321Z [2022-11-23 01:29:01,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5141541Z [2022-11-23 01:29:01,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5141793Z [2022-11-23 01:29:01,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5142066Z [2022-11-23 01:29:01,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5142385Z [2022-11-23 01:29:01,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5142735Z [2022-11-23 01:29:01,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5143057Z [2022-11-23 01:29:01,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5143450Z [2022-11-23 01:29:01,156] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5143543Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5143634Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5143709Z 4 BINARY_ADD 2022-11-23T01:30:36.5143805Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5143899Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5144015Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5144104Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5144164Z 14 BINARY_ADD 2022-11-23T01:30:36.5144252Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5144327Z 18 RETURN_VALUE 2022-11-23T01:30:36.5144391Z 2022-11-23T01:30:36.5144396Z 2022-11-23T01:30:36.5144714Z [2022-11-23 01:29:01,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5144923Z [2022-11-23 01:29:01,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5145162Z [2022-11-23 01:29:01,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5145441Z [2022-11-23 01:29:01,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5145672Z [2022-11-23 01:29:01,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5145952Z [2022-11-23 01:29:01,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5146253Z [2022-11-23 01:29:01,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5146492Z [2022-11-23 01:29:01,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5146762Z [2022-11-23 01:29:01,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5147000Z [2022-11-23 01:29:01,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5147244Z [2022-11-23 01:29:01,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5147627Z [2022-11-23 01:29:01,161] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5147870Z [2022-11-23 01:29:01,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5148104Z [2022-11-23 01:29:01,161] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5148346Z [2022-11-23 01:29:01,163] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5148593Z [2022-11-23 01:29:01,169] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5148783Z [2022-11-23 01:29:01,169] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5148921Z __compiled_fn_434 .3423 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5149010Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5149099Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5149272Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5149370Z call_method, view, view, (add, [10, 100]), {} 2022-11-23T01:30:36.5149534Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5149631Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5149636Z 2022-11-23T01:30:36.5149988Z [2022-11-23 01:29:01,170] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5150082Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5150170Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5154729Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5154848Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5154937Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5155085Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5155150Z 12 RETURN_VALUE 2022-11-23T01:30:36.5155158Z 2022-11-23T01:30:36.5155217Z 2022-11-23T01:30:36.5155582Z [2022-11-23 01:29:01,170] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5155692Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_434) 2022-11-23T01:30:36.5155782Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5155879Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5155957Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5156033Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5156122Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5156196Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5156285Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5156387Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5156517Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5156612Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5156700Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5156782Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5156884Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5156972Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5157052Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5157141Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5157233Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5157331Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5157407Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5157481Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5157582Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5157674Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5157771Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5157857Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5157930Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5158017Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5158091Z 54 RETURN_VALUE 2022-11-23T01:30:36.5158096Z 2022-11-23T01:30:36.5158157Z 2022-11-23T01:30:36.5158348Z [2022-11-23 01:29:01,172] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5158418Z - 2022-11-23T01:30:36.5158536Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5158599Z { 2022-11-23T01:30:36.5158727Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5158914Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5159031Z 'obj_weakref': None 2022-11-23T01:30:36.5159260Z 'guarded_class': 2022-11-23T01:30:36.5159323Z } 2022-11-23T01:30:36.5159386Z 2022-11-23T01:30:36.5159454Z - 2022-11-23T01:30:36.5159564Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5159627Z { 2022-11-23T01:30:36.5159769Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5159874Z 'code': None, 2022-11-23T01:30:36.5160220Z 'obj_weakref': 2022-11-23T01:30:36.5160479Z 'guarded_class': 2022-11-23T01:30:36.5160542Z } 2022-11-23T01:30:36.5160593Z 2022-11-23T01:30:36.5160661Z - 2022-11-23T01:30:36.5160783Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5160845Z { 2022-11-23T01:30:36.5160989Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5161130Z 'code': None, 2022-11-23T01:30:36.5161339Z 'obj_weakref': 2022-11-23T01:30:36.5161591Z 'guarded_class': 2022-11-23T01:30:36.5161642Z } 2022-11-23T01:30:36.5161704Z 2022-11-23T01:30:36.5161771Z - 2022-11-23T01:30:36.5161900Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5161963Z { 2022-11-23T01:30:36.5162097Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5162254Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5162372Z 'obj_weakref': None 2022-11-23T01:30:36.5162602Z 'guarded_class': 2022-11-23T01:30:36.5162665Z } 2022-11-23T01:30:36.5162728Z 2022-11-23T01:30:36.5162800Z - 2022-11-23T01:30:36.5162921Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5162972Z { 2022-11-23T01:30:36.5163107Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5163323Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5163439Z 'obj_weakref': None 2022-11-23T01:30:36.5163661Z 'guarded_class': 2022-11-23T01:30:36.5163726Z } 2022-11-23T01:30:36.5163789Z 2022-11-23T01:30:36.5163843Z - 2022-11-23T01:30:36.5164020Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5164084Z { 2022-11-23T01:30:36.5164251Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5164901Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [10, 100]'], 2022-11-23T01:30:36.5165024Z 'obj_weakref': None 2022-11-23T01:30:36.5165247Z 'guarded_class': 2022-11-23T01:30:36.5165311Z } 2022-11-23T01:30:36.5165361Z 2022-11-23T01:30:36.5165428Z - 2022-11-23T01:30:36.5165616Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5165678Z { 2022-11-23T01:30:36.5165821Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5166103Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5166220Z 'obj_weakref': None 2022-11-23T01:30:36.5166442Z 'guarded_class': 2022-11-23T01:30:36.5166493Z } 2022-11-23T01:30:36.5166555Z 2022-11-23T01:30:36.5166622Z - 2022-11-23T01:30:36.5166805Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5166868Z { 2022-11-23T01:30:36.5167009Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5167346Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:30:36.5167454Z 'obj_weakref': None 2022-11-23T01:30:36.5167674Z 'guarded_class': 2022-11-23T01:30:36.5167737Z } 2022-11-23T01:30:36.5167800Z 2022-11-23T01:30:36.5168061Z [2022-11-23 01:29:01,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426 2022-11-23T01:30:36.5168478Z [2022-11-23 01:29:01,216] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xz/cxz4mrgam7pzapppjf3ggcrvx3izskcv2kgzdvggpprqz766s4rz.py 2022-11-23T01:30:36.5168747Z [2022-11-23 01:29:01,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426 2022-11-23T01:30:36.5168986Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5169290Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5169506Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5169759Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5170037Z [2022-11-23 01:29:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5170360Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5170704Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5171029Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5171406Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5171498Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5171593Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5171676Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5171762Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5171852Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5171925Z 10 BINARY_ADD 2022-11-23T01:30:36.5172013Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5172089Z 14 RETURN_VALUE 2022-11-23T01:30:36.5172149Z 2022-11-23T01:30:36.5172155Z 2022-11-23T01:30:36.5172457Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5172666Z [2022-11-23 01:29:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5172909Z [2022-11-23 01:29:01,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5173188Z [2022-11-23 01:29:01,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5173492Z [2022-11-23 01:29:01,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5173728Z [2022-11-23 01:29:01,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5173999Z [2022-11-23 01:29:01,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5174266Z [2022-11-23 01:29:01,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5174512Z [2022-11-23 01:29:01,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5174890Z [2022-11-23 01:29:01,225] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5175121Z [2022-11-23 01:29:01,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5175384Z [2022-11-23 01:29:01,225] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5175641Z [2022-11-23 01:29:01,226] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5175887Z [2022-11-23 01:29:01,229] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5176076Z [2022-11-23 01:29:01,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5176211Z __compiled_fn_435 .3429 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5176299Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5176386Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5176472Z call_method, view, view, (ex_0_, [4, 4]), {} 2022-11-23T01:30:36.5176650Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5176747Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5176752Z 2022-11-23T01:30:36.5177077Z [2022-11-23 01:29:01,230] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5177171Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5177261Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5177348Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5177439Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5177512Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5177599Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5177676Z 12 RETURN_VALUE 2022-11-23T01:30:36.5177681Z 2022-11-23T01:30:36.5177740Z 2022-11-23T01:30:36.5178059Z [2022-11-23 01:29:01,230] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5178169Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_435) 2022-11-23T01:30:36.5178259Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5178349Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5178412Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5178501Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5178588Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5178662Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5178751Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5178852Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5178979Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5179062Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5179148Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5179243Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5179343Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5179430Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5179506Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5179593Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5179671Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5179767Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5179854Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5179953Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5180055Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5180145Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5180240Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5180325Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5180388Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5180540Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5180615Z 54 RETURN_VALUE 2022-11-23T01:30:36.5180619Z 2022-11-23T01:30:36.5180680Z 2022-11-23T01:30:36.5180865Z [2022-11-23 01:29:01,231] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5180934Z - 2022-11-23T01:30:36.5181052Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5181102Z { 2022-11-23T01:30:36.5181241Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5181430Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5181549Z 'obj_weakref': None 2022-11-23T01:30:36.5181774Z 'guarded_class': 2022-11-23T01:30:36.5181839Z } 2022-11-23T01:30:36.5181901Z 2022-11-23T01:30:36.5181957Z - 2022-11-23T01:30:36.5182078Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5182141Z { 2022-11-23T01:30:36.5182284Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5182389Z 'code': None, 2022-11-23T01:30:36.5182601Z 'obj_weakref': 2022-11-23T01:30:36.5182851Z 'guarded_class': 2022-11-23T01:30:36.5182902Z } 2022-11-23T01:30:36.5182965Z 2022-11-23T01:30:36.5183035Z - 2022-11-23T01:30:36.5183158Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5183224Z { 2022-11-23T01:30:36.5183365Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5183470Z 'code': None, 2022-11-23T01:30:36.5183667Z 'obj_weakref': 2022-11-23T01:30:36.5183918Z 'guarded_class': 2022-11-23T01:30:36.5183984Z } 2022-11-23T01:30:36.5184050Z 2022-11-23T01:30:36.5184117Z - 2022-11-23T01:30:36.5184245Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5184311Z { 2022-11-23T01:30:36.5184431Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5184598Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5184717Z 'obj_weakref': None 2022-11-23T01:30:36.5184948Z 'guarded_class': 2022-11-23T01:30:36.5185012Z } 2022-11-23T01:30:36.5185076Z 2022-11-23T01:30:36.5185144Z - 2022-11-23T01:30:36.5185252Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5185315Z { 2022-11-23T01:30:36.5185449Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5185664Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5185783Z 'obj_weakref': None 2022-11-23T01:30:36.5186003Z 'guarded_class': 2022-11-23T01:30:36.5186065Z } 2022-11-23T01:30:36.5186115Z 2022-11-23T01:30:36.5186182Z - 2022-11-23T01:30:36.5186359Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5186421Z { 2022-11-23T01:30:36.5186588Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5187158Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [4, 4]'], 2022-11-23T01:30:36.5187279Z 'obj_weakref': None 2022-11-23T01:30:36.5187531Z 'guarded_class': 2022-11-23T01:30:36.5187582Z } 2022-11-23T01:30:36.5187644Z 2022-11-23T01:30:36.5187713Z - 2022-11-23T01:30:36.5187900Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5187963Z { 2022-11-23T01:30:36.5188102Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5188382Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:30:36.5188488Z 'obj_weakref': None 2022-11-23T01:30:36.5188707Z 'guarded_class': 2022-11-23T01:30:36.5188772Z } 2022-11-23T01:30:36.5188836Z 2022-11-23T01:30:36.5188903Z - 2022-11-23T01:30:36.5189088Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5189152Z { 2022-11-23T01:30:36.5189280Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5189559Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:30:36.5189676Z 'obj_weakref': None 2022-11-23T01:30:36.5189896Z 'guarded_class': 2022-11-23T01:30:36.5189958Z } 2022-11-23T01:30:36.5190021Z 2022-11-23T01:30:36.5190283Z [2022-11-23 01:29:01,239] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427 2022-11-23T01:30:36.5190288Z 2022-11-23T01:30:36.5190381Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5190438Z import torch 2022-11-23T01:30:36.5190508Z import random 2022-11-23T01:30:36.5190625Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5190747Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5190754Z 2022-11-23T01:30:36.5190831Z aten = torch.ops.aten 2022-11-23T01:30:36.5190965Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5191055Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5191060Z 2022-11-23T01:30:36.5191064Z 2022-11-23T01:30:36.5191198Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5191389Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5191509Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5191616Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5191716Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5191777Z { 2022-11-23T01:30:36.5191875Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5191937Z { 2022-11-23T01:30:36.5192001Z #pragma omp for 2022-11-23T01:30:36.5192084Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.5192149Z { 2022-11-23T01:30:36.5192292Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5192421Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5192505Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5192595Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5192644Z } 2022-11-23T01:30:36.5192737Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5192820Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.5192910Z { 2022-11-23T01:30:36.5192994Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5193075Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5193156Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5193222Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5193283Z } 2022-11-23T01:30:36.5193345Z } 2022-11-23T01:30:36.5193404Z } 2022-11-23T01:30:36.5193484Z ''') 2022-11-23T01:30:36.5193515Z 2022-11-23T01:30:36.5193519Z 2022-11-23T01:30:36.5193608Z async_compile.wait(globals()) 2022-11-23T01:30:36.5193680Z del async_compile 2022-11-23T01:30:36.5193685Z 2022-11-23T01:30:36.5193741Z def call(args): 2022-11-23T01:30:36.5193815Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5193886Z args.clear() 2022-11-23T01:30:36.5194081Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5194243Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5194313Z del arg0_1 2022-11-23T01:30:36.5194379Z del arg1_1 2022-11-23T01:30:36.5194436Z return (buf0, ) 2022-11-23T01:30:36.5194451Z 2022-11-23T01:30:36.5194456Z 2022-11-23T01:30:36.5194519Z if __name__ == "__main__": 2022-11-23T01:30:36.5194632Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5194755Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5194958Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5195153Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5195266Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5195271Z 2022-11-23T01:30:36.5195275Z 2022-11-23T01:30:36.5195365Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5195434Z import torch 2022-11-23T01:30:36.5195490Z import random 2022-11-23T01:30:36.5195602Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5195724Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5195728Z 2022-11-23T01:30:36.5195805Z aten = torch.ops.aten 2022-11-23T01:30:36.5195936Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5196027Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5196031Z 2022-11-23T01:30:36.5196035Z 2022-11-23T01:30:36.5196166Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5196368Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5196475Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5196578Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5196675Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5196736Z { 2022-11-23T01:30:36.5196832Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5196893Z { 2022-11-23T01:30:36.5196969Z #pragma omp for 2022-11-23T01:30:36.5197039Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.5197102Z { 2022-11-23T01:30:36.5197234Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5197364Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5197490Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5197574Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5197656Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5197734Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5197795Z } 2022-11-23T01:30:36.5197891Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5197972Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.5198034Z { 2022-11-23T01:30:36.5198118Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5198197Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5198282Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5198409Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5198494Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5198572Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5198634Z } 2022-11-23T01:30:36.5198694Z } 2022-11-23T01:30:36.5198752Z } 2022-11-23T01:30:36.5198818Z ''') 2022-11-23T01:30:36.5198823Z 2022-11-23T01:30:36.5198827Z 2022-11-23T01:30:36.5198915Z async_compile.wait(globals()) 2022-11-23T01:30:36.5198986Z del async_compile 2022-11-23T01:30:36.5199016Z 2022-11-23T01:30:36.5199088Z def call(args): 2022-11-23T01:30:36.5199160Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5199230Z args.clear() 2022-11-23T01:30:36.5199421Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5199570Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5199640Z del arg0_1 2022-11-23T01:30:36.5199709Z del arg1_1 2022-11-23T01:30:36.5199780Z return (buf0, ) 2022-11-23T01:30:36.5199787Z 2022-11-23T01:30:36.5199792Z 2022-11-23T01:30:36.5199866Z if __name__ == "__main__": 2022-11-23T01:30:36.5200073Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5200198Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5200407Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5200584Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5200700Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5200705Z 2022-11-23T01:30:36.5200709Z 2022-11-23T01:30:36.5200803Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5200872Z import torch 2022-11-23T01:30:36.5200940Z import random 2022-11-23T01:30:36.5201053Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5201171Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5201176Z 2022-11-23T01:30:36.5201252Z aten = torch.ops.aten 2022-11-23T01:30:36.5201374Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5201465Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5201469Z 2022-11-23T01:30:36.5201473Z 2022-11-23T01:30:36.5201603Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5201806Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5201922Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5202027Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5202124Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5202185Z { 2022-11-23T01:30:36.5202270Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5202330Z { 2022-11-23T01:30:36.5202406Z #pragma omp for 2022-11-23T01:30:36.5202490Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5202551Z { 2022-11-23T01:30:36.5202686Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5202816Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5202888Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5202979Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5203044Z } 2022-11-23T01:30:36.5203137Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5203223Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5203288Z { 2022-11-23T01:30:36.5203373Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5203441Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5203523Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5203602Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5203667Z } 2022-11-23T01:30:36.5203726Z } 2022-11-23T01:30:36.5203784Z } 2022-11-23T01:30:36.5203849Z ''') 2022-11-23T01:30:36.5203865Z 2022-11-23T01:30:36.5203870Z 2022-11-23T01:30:36.5203946Z async_compile.wait(globals()) 2022-11-23T01:30:36.5204050Z del async_compile 2022-11-23T01:30:36.5204056Z 2022-11-23T01:30:36.5204128Z def call(args): 2022-11-23T01:30:36.5204202Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5204272Z args.clear() 2022-11-23T01:30:36.5204474Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5204633Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5204715Z del arg0_1 2022-11-23T01:30:36.5204879Z del arg1_1 2022-11-23T01:30:36.5204952Z return (buf0, ) 2022-11-23T01:30:36.5204957Z 2022-11-23T01:30:36.5204960Z 2022-11-23T01:30:36.5205033Z if __name__ == "__main__": 2022-11-23T01:30:36.5205146Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5205269Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5205501Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5205704Z arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5205805Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5205810Z 2022-11-23T01:30:36.5205828Z 2022-11-23T01:30:36.5205907Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5205975Z import torch 2022-11-23T01:30:36.5206045Z import random 2022-11-23T01:30:36.5206159Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5206279Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5206284Z 2022-11-23T01:30:36.5206360Z aten = torch.ops.aten 2022-11-23T01:30:36.5206492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5206569Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5206574Z 2022-11-23T01:30:36.5206578Z 2022-11-23T01:30:36.5206707Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5206912Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5207032Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5207134Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5207232Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5207293Z { 2022-11-23T01:30:36.5207389Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5207437Z { 2022-11-23T01:30:36.5207513Z #pragma omp for 2022-11-23T01:30:36.5207596Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5207658Z { 2022-11-23T01:30:36.5207791Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5207920Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5208051Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5208123Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5208205Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5208298Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5208360Z } 2022-11-23T01:30:36.5208453Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5208540Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5208602Z { 2022-11-23T01:30:36.5208672Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5208752Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5208849Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5208934Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5209013Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5209091Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5209152Z } 2022-11-23T01:30:36.5209200Z } 2022-11-23T01:30:36.5209259Z } 2022-11-23T01:30:36.5209335Z ''') 2022-11-23T01:30:36.5209340Z 2022-11-23T01:30:36.5209345Z 2022-11-23T01:30:36.5209431Z async_compile.wait(globals()) 2022-11-23T01:30:36.5209504Z del async_compile 2022-11-23T01:30:36.5209509Z 2022-11-23T01:30:36.5209627Z def call(args): 2022-11-23T01:30:36.5209701Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5209759Z args.clear() 2022-11-23T01:30:36.5209959Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5210118Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5210186Z del arg0_1 2022-11-23T01:30:36.5210252Z del arg1_1 2022-11-23T01:30:36.5210371Z return (buf0, ) 2022-11-23T01:30:36.5210375Z 2022-11-23T01:30:36.5210380Z 2022-11-23T01:30:36.5210458Z if __name__ == "__main__": 2022-11-23T01:30:36.5210573Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5210685Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5210913Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5211115Z arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5211231Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5211236Z 2022-11-23T01:30:36.5211605Z [2022-11-23 01:29:03,451] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nt/cntf42mqgh5b6un654kxlrnn3l4laogepq6hlqqrp2gcvif3thlt.py 2022-11-23T01:30:36.5211871Z [2022-11-23 01:29:03,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427 2022-11-23T01:30:36.5212109Z [2022-11-23 01:29:03,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5212421Z [2022-11-23 01:29:03,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5212636Z [2022-11-23 01:29:03,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5212876Z [2022-11-23 01:29:03,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5213155Z [2022-11-23 01:29:03,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5213478Z [2022-11-23 01:29:03,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5213827Z [2022-11-23 01:29:03,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5214152Z [2022-11-23 01:29:03,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5214526Z [2022-11-23 01:29:03,456] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5214618Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5214710Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5214782Z 4 BINARY_ADD 2022-11-23T01:30:36.5214863Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5214957Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5215045Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5215136Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5215210Z 14 BINARY_ADD 2022-11-23T01:30:36.5215298Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5215373Z 18 RETURN_VALUE 2022-11-23T01:30:36.5215421Z 2022-11-23T01:30:36.5215426Z 2022-11-23T01:30:36.5215740Z [2022-11-23 01:29:03,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5215950Z [2022-11-23 01:29:03,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5216220Z [2022-11-23 01:29:03,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5216504Z [2022-11-23 01:29:03,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5216743Z [2022-11-23 01:29:03,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5217020Z [2022-11-23 01:29:03,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5217351Z [2022-11-23 01:29:03,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5217586Z [2022-11-23 01:29:03,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5217856Z [2022-11-23 01:29:03,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5218087Z [2022-11-23 01:29:03,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5218329Z [2022-11-23 01:29:03,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5218706Z [2022-11-23 01:29:03,460] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5218949Z [2022-11-23 01:29:03,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5219181Z [2022-11-23 01:29:03,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5219433Z [2022-11-23 01:29:03,461] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5219680Z [2022-11-23 01:29:03,465] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5219869Z [2022-11-23 01:29:03,465] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5220004Z __compiled_fn_436 .3435 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5220080Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5220166Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5220337Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5220434Z call_method, view, view, (add, [4, 4]), {} 2022-11-23T01:30:36.5220616Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5220710Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5220716Z 2022-11-23T01:30:36.5221042Z [2022-11-23 01:29:03,465] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5221138Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5221214Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5221304Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5221394Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5221476Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5221564Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5221638Z 12 RETURN_VALUE 2022-11-23T01:30:36.5221642Z 2022-11-23T01:30:36.5221703Z 2022-11-23T01:30:36.5222012Z [2022-11-23 01:29:03,466] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5222120Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_436) 2022-11-23T01:30:36.5222209Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5222298Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5222373Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5222460Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5222576Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5222651Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5222725Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5222825Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5222951Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5223047Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5223161Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5223254Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5223352Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5223427Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5223502Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5223590Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5223680Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5223780Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5223866Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5223938Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5224026Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5224116Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5224211Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5224299Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5224373Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5224471Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5224545Z 54 RETURN_VALUE 2022-11-23T01:30:36.5224550Z 2022-11-23T01:30:36.5224610Z 2022-11-23T01:30:36.5224781Z [2022-11-23 01:29:03,467] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5224851Z - 2022-11-23T01:30:36.5224969Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5225033Z { 2022-11-23T01:30:36.5225180Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5225366Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5225483Z 'obj_weakref': None 2022-11-23T01:30:36.5225695Z 'guarded_class': 2022-11-23T01:30:36.5225758Z } 2022-11-23T01:30:36.5225820Z 2022-11-23T01:30:36.5225890Z - 2022-11-23T01:30:36.5226013Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5226076Z { 2022-11-23T01:30:36.5226204Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5226309Z 'code': None, 2022-11-23T01:30:36.5226521Z 'obj_weakref': 2022-11-23T01:30:36.5226770Z 'guarded_class': 2022-11-23T01:30:36.5226835Z } 2022-11-23T01:30:36.5226898Z 2022-11-23T01:30:36.5226966Z - 2022-11-23T01:30:36.5227074Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5227136Z { 2022-11-23T01:30:36.5227277Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5227382Z 'code': None, 2022-11-23T01:30:36.5227589Z 'obj_weakref': 2022-11-23T01:30:36.5227842Z 'guarded_class': 2022-11-23T01:30:36.5227906Z } 2022-11-23T01:30:36.5227968Z 2022-11-23T01:30:36.5228022Z - 2022-11-23T01:30:36.5228153Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5228216Z { 2022-11-23T01:30:36.5228349Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5228517Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5228662Z 'obj_weakref': None 2022-11-23T01:30:36.5228891Z 'guarded_class': 2022-11-23T01:30:36.5228943Z } 2022-11-23T01:30:36.5229004Z 2022-11-23T01:30:36.5229074Z - 2022-11-23T01:30:36.5229193Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5229254Z { 2022-11-23T01:30:36.5229388Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5229624Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5229741Z 'obj_weakref': None 2022-11-23T01:30:36.5229959Z 'guarded_class': 2022-11-23T01:30:36.5230021Z } 2022-11-23T01:30:36.5230082Z 2022-11-23T01:30:36.5230150Z - 2022-11-23T01:30:36.5230325Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5230378Z { 2022-11-23T01:30:36.5230544Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5231084Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [4, 4]'], 2022-11-23T01:30:36.5231206Z 'obj_weakref': None 2022-11-23T01:30:36.5231426Z 'guarded_class': 2022-11-23T01:30:36.5231489Z } 2022-11-23T01:30:36.5231550Z 2022-11-23T01:30:36.5231618Z - 2022-11-23T01:30:36.5231787Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5231850Z { 2022-11-23T01:30:36.5231990Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5232272Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:30:36.5232389Z 'obj_weakref': None 2022-11-23T01:30:36.5232610Z 'guarded_class': 2022-11-23T01:30:36.5232673Z } 2022-11-23T01:30:36.5232736Z 2022-11-23T01:30:36.5232792Z - 2022-11-23T01:30:36.5232976Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5233039Z { 2022-11-23T01:30:36.5233177Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5233456Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:30:36.5233573Z 'obj_weakref': None 2022-11-23T01:30:36.5233794Z 'guarded_class': 2022-11-23T01:30:36.5233845Z } 2022-11-23T01:30:36.5233906Z 2022-11-23T01:30:36.5234166Z [2022-11-23 01:29:03,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428 2022-11-23T01:30:36.5234537Z [2022-11-23 01:29:05,735] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qe/cqea7pq73wg2fhmoygqwgj7lxianmujbnsseec4epujnnfil2zp6.py 2022-11-23T01:30:36.5234802Z [2022-11-23 01:29:05,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428 2022-11-23T01:30:36.5235038Z [2022-11-23 01:29:05,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5235348Z [2022-11-23 01:29:05,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5235591Z [2022-11-23 01:29:05,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5235842Z [2022-11-23 01:29:05,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5236106Z [2022-11-23 01:29:05,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5236424Z [2022-11-23 01:29:05,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5236798Z [2022-11-23 01:29:05,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5237119Z [2022-11-23 01:29:05,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5237498Z [2022-11-23 01:29:05,743] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5237589Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5237682Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5237775Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5237860Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5237935Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5238010Z 10 BINARY_ADD 2022-11-23T01:30:36.5238100Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5238175Z 14 RETURN_VALUE 2022-11-23T01:30:36.5238236Z 2022-11-23T01:30:36.5238241Z 2022-11-23T01:30:36.5238553Z [2022-11-23 01:29:05,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5238758Z [2022-11-23 01:29:05,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5239005Z [2022-11-23 01:29:05,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5239271Z [2022-11-23 01:29:05,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5239571Z [2022-11-23 01:29:05,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5239808Z [2022-11-23 01:29:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5240170Z [2022-11-23 01:29:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5240418Z [2022-11-23 01:29:05,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5240663Z [2022-11-23 01:29:05,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5241043Z [2022-11-23 01:29:05,747] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5241288Z [2022-11-23 01:29:05,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5241522Z [2022-11-23 01:29:05,747] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5241779Z [2022-11-23 01:29:05,749] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5242014Z [2022-11-23 01:29:05,753] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5242200Z [2022-11-23 01:29:05,753] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5242335Z __compiled_fn_437 .3441 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5242425Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5242551Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5242649Z call_method, view, view, (ex_0_, [35]), {} 2022-11-23T01:30:36.5242826Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5242921Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5242926Z 2022-11-23T01:30:36.5243241Z [2022-11-23 01:29:05,754] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5243362Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5243456Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5243543Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5243635Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5243721Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5243806Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5243869Z 12 RETURN_VALUE 2022-11-23T01:30:36.5243888Z 2022-11-23T01:30:36.5243936Z 2022-11-23T01:30:36.5244262Z [2022-11-23 01:29:05,754] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5244370Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_437) 2022-11-23T01:30:36.5244460Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5244550Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5244627Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5244703Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5244907Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5244983Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5245069Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5245172Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5245303Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5245397Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5245471Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5245566Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5245665Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5245752Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5245828Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5245916Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5246008Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5246094Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5246181Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5246257Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5246356Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5246446Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5246544Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5246630Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5246692Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5246791Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5246864Z 54 RETURN_VALUE 2022-11-23T01:30:36.5246869Z 2022-11-23T01:30:36.5246927Z 2022-11-23T01:30:36.5247111Z [2022-11-23 01:29:05,756] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5247182Z - 2022-11-23T01:30:36.5247298Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5247362Z { 2022-11-23T01:30:36.5247489Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5247674Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5247792Z 'obj_weakref': None 2022-11-23T01:30:36.5248060Z 'guarded_class': 2022-11-23T01:30:36.5248125Z } 2022-11-23T01:30:36.5248185Z 2022-11-23T01:30:36.5248253Z - 2022-11-23T01:30:36.5248364Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5248424Z { 2022-11-23T01:30:36.5248566Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5248673Z 'code': None, 2022-11-23T01:30:36.5248886Z 'obj_weakref': 2022-11-23T01:30:36.5249173Z 'guarded_class': 2022-11-23T01:30:36.5249236Z } 2022-11-23T01:30:36.5249287Z 2022-11-23T01:30:36.5249355Z - 2022-11-23T01:30:36.5249476Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5249537Z { 2022-11-23T01:30:36.5249678Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5249783Z 'code': None, 2022-11-23T01:30:36.5249991Z 'obj_weakref': 2022-11-23T01:30:36.5250231Z 'guarded_class': 2022-11-23T01:30:36.5250294Z } 2022-11-23T01:30:36.5250355Z 2022-11-23T01:30:36.5250423Z - 2022-11-23T01:30:36.5250551Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5250615Z { 2022-11-23T01:30:36.5250746Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5250901Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5251019Z 'obj_weakref': None 2022-11-23T01:30:36.5251247Z 'guarded_class': 2022-11-23T01:30:36.5251311Z } 2022-11-23T01:30:36.5251374Z 2022-11-23T01:30:36.5251442Z - 2022-11-23T01:30:36.5251560Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5251612Z { 2022-11-23T01:30:36.5251745Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5251962Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5252076Z 'obj_weakref': None 2022-11-23T01:30:36.5252296Z 'guarded_class': 2022-11-23T01:30:36.5252360Z } 2022-11-23T01:30:36.5252422Z 2022-11-23T01:30:36.5252477Z - 2022-11-23T01:30:36.5252655Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5252717Z { 2022-11-23T01:30:36.5252881Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5253325Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents == [35]'], 2022-11-23T01:30:36.5253443Z 'obj_weakref': None 2022-11-23T01:30:36.5253663Z 'guarded_class': 2022-11-23T01:30:36.5253726Z } 2022-11-23T01:30:36.5253776Z 2022-11-23T01:30:36.5253843Z - 2022-11-23T01:30:36.5254026Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5254091Z { 2022-11-23T01:30:36.5254231Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5254515Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 35'], 2022-11-23T01:30:36.5254631Z 'obj_weakref': None 2022-11-23T01:30:36.5254840Z 'guarded_class': 2022-11-23T01:30:36.5254905Z } 2022-11-23T01:30:36.5254999Z 2022-11-23T01:30:36.5255262Z [2022-11-23 01:29:05,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429 2022-11-23T01:30:36.5255632Z [2022-11-23 01:29:05,778] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qm/cqm5puf5hsp5n6hen3w3blimqpkm6vnmw3zo7rpkbsppi6jw7h7j.py 2022-11-23T01:30:36.5255896Z [2022-11-23 01:29:05,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429 2022-11-23T01:30:36.5256164Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5256479Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5256685Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5256941Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5257216Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5257536Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5257880Z [2022-11-23 01:29:05,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5258204Z [2022-11-23 01:29:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5258578Z [2022-11-23 01:29:05,785] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5258673Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5258764Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5258838Z 4 BINARY_ADD 2022-11-23T01:30:36.5258919Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5259011Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5259099Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5259189Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5259264Z 14 BINARY_ADD 2022-11-23T01:30:36.5259355Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5259430Z 18 RETURN_VALUE 2022-11-23T01:30:36.5259478Z 2022-11-23T01:30:36.5259484Z 2022-11-23T01:30:36.5259797Z [2022-11-23 01:29:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5260008Z [2022-11-23 01:29:05,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5260249Z [2022-11-23 01:29:05,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5260530Z [2022-11-23 01:29:05,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5260769Z [2022-11-23 01:29:05,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5261051Z [2022-11-23 01:29:05,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5261351Z [2022-11-23 01:29:05,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5261584Z [2022-11-23 01:29:05,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5261870Z [2022-11-23 01:29:05,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5262110Z [2022-11-23 01:29:05,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5262351Z [2022-11-23 01:29:05,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5262732Z [2022-11-23 01:29:05,790] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5263005Z [2022-11-23 01:29:05,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5263237Z [2022-11-23 01:29:05,791] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5263489Z [2022-11-23 01:29:05,793] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5263742Z [2022-11-23 01:29:05,799] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5263928Z [2022-11-23 01:29:05,799] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5264061Z __compiled_fn_438 .3447 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5264137Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5264222Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5264395Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5264495Z call_method, view, view, (add, [35]), {} 2022-11-23T01:30:36.5264673Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5264767Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5264772Z 2022-11-23T01:30:36.5265096Z [2022-11-23 01:29:05,800] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5265177Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5265268Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5265354Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5265449Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5265533Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5265620Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5265696Z 12 RETURN_VALUE 2022-11-23T01:30:36.5265701Z 2022-11-23T01:30:36.5265762Z 2022-11-23T01:30:36.5266070Z [2022-11-23 01:29:05,800] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5266177Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_438) 2022-11-23T01:30:36.5266265Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5266354Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5266430Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5266517Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5266607Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5266670Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5266757Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5266859Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5266989Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5267084Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5267173Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5267268Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5267368Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5267444Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5267518Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5267606Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5267699Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5267823Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5267915Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5267990Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5268079Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5268168Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5268264Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5268380Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5268458Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5268558Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5268632Z 54 RETURN_VALUE 2022-11-23T01:30:36.5268636Z 2022-11-23T01:30:36.5268684Z 2022-11-23T01:30:36.5268871Z [2022-11-23 01:29:05,802] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5268940Z - 2022-11-23T01:30:36.5269058Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5269124Z { 2022-11-23T01:30:36.5269263Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5269448Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5269553Z 'obj_weakref': None 2022-11-23T01:30:36.5269777Z 'guarded_class': 2022-11-23T01:30:36.5269841Z } 2022-11-23T01:30:36.5269906Z 2022-11-23T01:30:36.5269975Z - 2022-11-23T01:30:36.5270096Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5270160Z { 2022-11-23T01:30:36.5270288Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5270393Z 'code': None, 2022-11-23T01:30:36.5270601Z 'obj_weakref': 2022-11-23T01:30:36.5270854Z 'guarded_class': 2022-11-23T01:30:36.5270918Z } 2022-11-23T01:30:36.5270979Z 2022-11-23T01:30:36.5271047Z - 2022-11-23T01:30:36.5271158Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5271221Z { 2022-11-23T01:30:36.5271361Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5271466Z 'code': None, 2022-11-23T01:30:36.5271675Z 'obj_weakref': 2022-11-23T01:30:36.5271925Z 'guarded_class': 2022-11-23T01:30:36.5271988Z } 2022-11-23T01:30:36.5272038Z 2022-11-23T01:30:36.5272106Z - 2022-11-23T01:30:36.5272235Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5272298Z { 2022-11-23T01:30:36.5272432Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5272601Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5272718Z 'obj_weakref': None 2022-11-23T01:30:36.5272935Z 'guarded_class': 2022-11-23T01:30:36.5272998Z } 2022-11-23T01:30:36.5273060Z 2022-11-23T01:30:36.5273127Z - 2022-11-23T01:30:36.5273249Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5273311Z { 2022-11-23T01:30:36.5273450Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5273651Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5273767Z 'obj_weakref': None 2022-11-23T01:30:36.5273987Z 'guarded_class': 2022-11-23T01:30:36.5274051Z } 2022-11-23T01:30:36.5274113Z 2022-11-23T01:30:36.5274180Z - 2022-11-23T01:30:36.5274383Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5274435Z { 2022-11-23T01:30:36.5274602Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5275046Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents == [35]'], 2022-11-23T01:30:36.5275191Z 'obj_weakref': None 2022-11-23T01:30:36.5275413Z 'guarded_class': 2022-11-23T01:30:36.5275476Z } 2022-11-23T01:30:36.5275537Z 2022-11-23T01:30:36.5275604Z - 2022-11-23T01:30:36.5275773Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5275836Z { 2022-11-23T01:30:36.5275978Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5276261Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 35'], 2022-11-23T01:30:36.5276379Z 'obj_weakref': None 2022-11-23T01:30:36.5276598Z 'guarded_class': 2022-11-23T01:30:36.5276660Z } 2022-11-23T01:30:36.5276710Z 2022-11-23T01:30:36.5276972Z [2022-11-23 01:29:05,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430 2022-11-23T01:30:36.5277332Z [2022-11-23 01:29:05,839] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wu/cwuj7q3x3sflt756eo4akch3vproxyq4rkialdse7gr7klobtfqm.py 2022-11-23T01:30:36.5277595Z [2022-11-23 01:29:05,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430 2022-11-23T01:30:36.5277830Z [2022-11-23 01:29:05,846] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5278144Z [2022-11-23 01:29:05,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5278358Z [2022-11-23 01:29:05,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5278605Z [2022-11-23 01:29:05,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5278880Z [2022-11-23 01:29:05,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5279195Z [2022-11-23 01:29:05,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5279528Z [2022-11-23 01:29:05,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5279848Z [2022-11-23 01:29:05,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5280321Z [2022-11-23 01:29:05,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5280414Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5280510Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5280602Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5280689Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5280778Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5280839Z 10 BINARY_ADD 2022-11-23T01:30:36.5280927Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5281002Z 14 RETURN_VALUE 2022-11-23T01:30:36.5281061Z 2022-11-23T01:30:36.5281066Z 2022-11-23T01:30:36.5281446Z [2022-11-23 01:29:05,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5281658Z [2022-11-23 01:29:05,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5281899Z [2022-11-23 01:29:05,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5282181Z [2022-11-23 01:29:05,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5282515Z [2022-11-23 01:29:05,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5282738Z [2022-11-23 01:29:05,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5283011Z [2022-11-23 01:29:05,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5283253Z [2022-11-23 01:29:05,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5283496Z [2022-11-23 01:29:05,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5283872Z [2022-11-23 01:29:05,856] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5284116Z [2022-11-23 01:29:05,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5284346Z [2022-11-23 01:29:05,856] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5284598Z [2022-11-23 01:29:05,859] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5284961Z [2022-11-23 01:29:05,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5285138Z [2022-11-23 01:29:05,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5285271Z __compiled_fn_439 .3453 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5285358Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5285443Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5285542Z call_method, view, view, (ex_0_, [5040]), {} 2022-11-23T01:30:36.5285720Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5285813Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5285819Z 2022-11-23T01:30:36.5286140Z [2022-11-23 01:29:05,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5286220Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5286309Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5286396Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5286488Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5286573Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5286665Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5286741Z 12 RETURN_VALUE 2022-11-23T01:30:36.5286746Z 2022-11-23T01:30:36.5286806Z 2022-11-23T01:30:36.5287116Z [2022-11-23 01:29:05,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5287226Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_439) 2022-11-23T01:30:36.5287315Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5287405Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5287481Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5287566Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5287652Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5287767Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5287854Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5287955Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5288083Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5288178Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5288265Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5288393Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5288493Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5288569Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5288644Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5288731Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5288820Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5288916Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5289005Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5289078Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5289166Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5289255Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5289349Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5289435Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5289510Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5289609Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5289682Z 54 RETURN_VALUE 2022-11-23T01:30:36.5289687Z 2022-11-23T01:30:36.5289733Z 2022-11-23T01:30:36.5289916Z [2022-11-23 01:29:05,868] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5289985Z - 2022-11-23T01:30:36.5290103Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5290167Z { 2022-11-23T01:30:36.5290307Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5290495Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5290600Z 'obj_weakref': None 2022-11-23T01:30:36.5290826Z 'guarded_class': 2022-11-23T01:30:36.5290890Z } 2022-11-23T01:30:36.5290953Z 2022-11-23T01:30:36.5291021Z - 2022-11-23T01:30:36.5291145Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5291207Z { 2022-11-23T01:30:36.5291336Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5291441Z 'code': None, 2022-11-23T01:30:36.5291649Z 'obj_weakref': 2022-11-23T01:30:36.5291899Z 'guarded_class': 2022-11-23T01:30:36.5291962Z } 2022-11-23T01:30:36.5292024Z 2022-11-23T01:30:36.5292092Z - 2022-11-23T01:30:36.5292203Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5292265Z { 2022-11-23T01:30:36.5292407Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5292513Z 'code': None, 2022-11-23T01:30:36.5292722Z 'obj_weakref': 2022-11-23T01:30:36.5292970Z 'guarded_class': 2022-11-23T01:30:36.5293035Z } 2022-11-23T01:30:36.5293085Z 2022-11-23T01:30:36.5293153Z - 2022-11-23T01:30:36.5293279Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5293342Z { 2022-11-23T01:30:36.5293473Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5293641Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5293757Z 'obj_weakref': None 2022-11-23T01:30:36.5294004Z 'guarded_class': 2022-11-23T01:30:36.5294068Z } 2022-11-23T01:30:36.5294130Z 2022-11-23T01:30:36.5294197Z - 2022-11-23T01:30:36.5294317Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5294378Z { 2022-11-23T01:30:36.5294512Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5294715Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5294858Z 'obj_weakref': None 2022-11-23T01:30:36.5295083Z 'guarded_class': 2022-11-23T01:30:36.5295146Z } 2022-11-23T01:30:36.5295207Z 2022-11-23T01:30:36.5295274Z - 2022-11-23T01:30:36.5295449Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5295500Z { 2022-11-23T01:30:36.5295666Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5296116Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents == [5040]'], 2022-11-23T01:30:36.5296235Z 'obj_weakref': None 2022-11-23T01:30:36.5296458Z 'guarded_class': 2022-11-23T01:30:36.5296520Z } 2022-11-23T01:30:36.5296580Z 2022-11-23T01:30:36.5296646Z - 2022-11-23T01:30:36.5296815Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5296877Z { 2022-11-23T01:30:36.5297016Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5297301Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 5040'], 2022-11-23T01:30:36.5297420Z 'obj_weakref': None 2022-11-23T01:30:36.5297638Z 'guarded_class': 2022-11-23T01:30:36.5297703Z } 2022-11-23T01:30:36.5297753Z 2022-11-23T01:30:36.5298013Z [2022-11-23 01:29:05,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431 2022-11-23T01:30:36.5298020Z 2022-11-23T01:30:36.5298113Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5298181Z import torch 2022-11-23T01:30:36.5298249Z import random 2022-11-23T01:30:36.5298364Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5298484Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5298489Z 2022-11-23T01:30:36.5298565Z aten = torch.ops.aten 2022-11-23T01:30:36.5298686Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5298779Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5298784Z 2022-11-23T01:30:36.5298788Z 2022-11-23T01:30:36.5298921Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5299123Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5299240Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5299345Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5299447Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5299507Z { 2022-11-23T01:30:36.5299591Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5299652Z { 2022-11-23T01:30:36.5299727Z #pragma omp for 2022-11-23T01:30:36.5299812Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5299873Z { 2022-11-23T01:30:36.5300016Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5300148Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5300247Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5300340Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5300403Z } 2022-11-23T01:30:36.5300497Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5300579Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.5300641Z { 2022-11-23T01:30:36.5300724Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5300793Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5300903Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5300983Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5301045Z } 2022-11-23T01:30:36.5301106Z } 2022-11-23T01:30:36.5301164Z } 2022-11-23T01:30:36.5301229Z ''') 2022-11-23T01:30:36.5301247Z 2022-11-23T01:30:36.5301251Z 2022-11-23T01:30:36.5301326Z async_compile.wait(globals()) 2022-11-23T01:30:36.5301398Z del async_compile 2022-11-23T01:30:36.5301403Z 2022-11-23T01:30:36.5301472Z def call(args): 2022-11-23T01:30:36.5301550Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5301620Z args.clear() 2022-11-23T01:30:36.5301814Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5301976Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5302031Z del arg0_1 2022-11-23T01:30:36.5302097Z del arg1_1 2022-11-23T01:30:36.5302166Z return (buf0, ) 2022-11-23T01:30:36.5302173Z 2022-11-23T01:30:36.5302177Z 2022-11-23T01:30:36.5302254Z if __name__ == "__main__": 2022-11-23T01:30:36.5302366Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5302488Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5302697Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5302889Z arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5302990Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5302997Z 2022-11-23T01:30:36.5303001Z 2022-11-23T01:30:36.5303096Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5303164Z import torch 2022-11-23T01:30:36.5303234Z import random 2022-11-23T01:30:36.5303347Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5303465Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5303470Z 2022-11-23T01:30:36.5303547Z aten = torch.ops.aten 2022-11-23T01:30:36.5303681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5303760Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5303764Z 2022-11-23T01:30:36.5303769Z 2022-11-23T01:30:36.5303901Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5304104Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5304222Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5304326Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5304425Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5304486Z { 2022-11-23T01:30:36.5304569Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5304630Z { 2022-11-23T01:30:36.5304706Z #pragma omp for 2022-11-23T01:30:36.5304786Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5304849Z { 2022-11-23T01:30:36.5304980Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5305114Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5305243Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5305316Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5305398Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5305489Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5305553Z } 2022-11-23T01:30:36.5305646Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5305757Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.5305820Z { 2022-11-23T01:30:36.5305889Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5305970Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5306068Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5306153Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5306233Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5306337Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5306399Z } 2022-11-23T01:30:36.5306448Z } 2022-11-23T01:30:36.5306507Z } 2022-11-23T01:30:36.5306586Z ''') 2022-11-23T01:30:36.5306591Z 2022-11-23T01:30:36.5306595Z 2022-11-23T01:30:36.5306682Z async_compile.wait(globals()) 2022-11-23T01:30:36.5306754Z del async_compile 2022-11-23T01:30:36.5306759Z 2022-11-23T01:30:36.5306828Z def call(args): 2022-11-23T01:30:36.5306904Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5306962Z args.clear() 2022-11-23T01:30:36.5307158Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5307319Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5307386Z del arg0_1 2022-11-23T01:30:36.5307451Z del arg1_1 2022-11-23T01:30:36.5307521Z return (buf0, ) 2022-11-23T01:30:36.5307525Z 2022-11-23T01:30:36.5307529Z 2022-11-23T01:30:36.5307603Z if __name__ == "__main__": 2022-11-23T01:30:36.5307705Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5307826Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5308036Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5308230Z arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5308342Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5308347Z 2022-11-23T01:30:36.5308351Z 2022-11-23T01:30:36.5308446Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5308515Z import torch 2022-11-23T01:30:36.5308584Z import random 2022-11-23T01:30:36.5308684Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5308803Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5308808Z 2022-11-23T01:30:36.5308884Z aten = torch.ops.aten 2022-11-23T01:30:36.5309016Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5309109Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5309114Z 2022-11-23T01:30:36.5309118Z 2022-11-23T01:30:36.5309250Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5309453Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5309570Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5309662Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5309759Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5309818Z { 2022-11-23T01:30:36.5309918Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5309980Z { 2022-11-23T01:30:36.5310054Z #pragma omp for 2022-11-23T01:30:36.5310134Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.5310183Z { 2022-11-23T01:30:36.5310315Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5310442Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5310528Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5310618Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5310678Z } 2022-11-23T01:30:36.5310771Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5310852Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:30:36.5310901Z { 2022-11-23T01:30:36.5310982Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5311062Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5311144Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5311249Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5311310Z } 2022-11-23T01:30:36.5311358Z } 2022-11-23T01:30:36.5311418Z } 2022-11-23T01:30:36.5311495Z ''') 2022-11-23T01:30:36.5311500Z 2022-11-23T01:30:36.5311505Z 2022-11-23T01:30:36.5311592Z async_compile.wait(globals()) 2022-11-23T01:30:36.5311664Z del async_compile 2022-11-23T01:30:36.5311669Z 2022-11-23T01:30:36.5311739Z def call(args): 2022-11-23T01:30:36.5311839Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5311897Z args.clear() 2022-11-23T01:30:36.5312089Z buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5312248Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5312315Z del arg0_1 2022-11-23T01:30:36.5312383Z del arg1_1 2022-11-23T01:30:36.5312453Z return (buf0, ) 2022-11-23T01:30:36.5312458Z 2022-11-23T01:30:36.5312462Z 2022-11-23T01:30:36.5312538Z if __name__ == "__main__": 2022-11-23T01:30:36.5312650Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5312759Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5312953Z arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5313143Z arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5313254Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5313261Z 2022-11-23T01:30:36.5313265Z 2022-11-23T01:30:36.5313357Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5313425Z import torch 2022-11-23T01:30:36.5313492Z import random 2022-11-23T01:30:36.5313608Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5313715Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5313720Z 2022-11-23T01:30:36.5313797Z aten = torch.ops.aten 2022-11-23T01:30:36.5313929Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5314020Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5314025Z 2022-11-23T01:30:36.5314029Z 2022-11-23T01:30:36.5314159Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5314361Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5314478Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5314580Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5314668Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5314729Z { 2022-11-23T01:30:36.5314824Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5314885Z { 2022-11-23T01:30:36.5314961Z #pragma omp for 2022-11-23T01:30:36.5315040Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:30:36.5315101Z { 2022-11-23T01:30:36.5315220Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5315352Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5315481Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5315566Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5315647Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5315735Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5315797Z } 2022-11-23T01:30:36.5315878Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5315961Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:30:36.5316023Z { 2022-11-23T01:30:36.5316105Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5316186Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5316284Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5316367Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5316436Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5316515Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5316576Z } 2022-11-23T01:30:36.5316636Z } 2022-11-23T01:30:36.5316723Z } 2022-11-23T01:30:36.5316800Z ''') 2022-11-23T01:30:36.5316805Z 2022-11-23T01:30:36.5316810Z 2022-11-23T01:30:36.5316899Z async_compile.wait(globals()) 2022-11-23T01:30:36.5316959Z del async_compile 2022-11-23T01:30:36.5316977Z 2022-11-23T01:30:36.5317034Z def call(args): 2022-11-23T01:30:36.5317108Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5317180Z args.clear() 2022-11-23T01:30:36.5317371Z buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5317560Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5317628Z del arg0_1 2022-11-23T01:30:36.5317695Z del arg1_1 2022-11-23T01:30:36.5317754Z return (buf0, ) 2022-11-23T01:30:36.5317758Z 2022-11-23T01:30:36.5317763Z 2022-11-23T01:30:36.5317837Z if __name__ == "__main__": 2022-11-23T01:30:36.5317951Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5318076Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5318269Z arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5318463Z arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5318577Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5318582Z 2022-11-23T01:30:36.5318950Z [2022-11-23 01:29:05,893] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sm/csmotrtgctxm3z5s4km3bzzh72wm2tny42ecrfhzcgzyseyzmgbf.py 2022-11-23T01:30:36.5319206Z [2022-11-23 01:29:05,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431 2022-11-23T01:30:36.5319443Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5319757Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5319975Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5320315Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5320591Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5320909Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5321259Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5321583Z [2022-11-23 01:29:05,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5321965Z [2022-11-23 01:29:05,901] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5322045Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5322134Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5322207Z 4 BINARY_ADD 2022-11-23T01:30:36.5322301Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5322396Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5322481Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5322570Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5322642Z 14 BINARY_ADD 2022-11-23T01:30:36.5322717Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5322792Z 18 RETURN_VALUE 2022-11-23T01:30:36.5322853Z 2022-11-23T01:30:36.5322858Z 2022-11-23T01:30:36.5323213Z [2022-11-23 01:29:05,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5323424Z [2022-11-23 01:29:05,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5323664Z [2022-11-23 01:29:05,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5323941Z [2022-11-23 01:29:05,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5324207Z [2022-11-23 01:29:05,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5324474Z [2022-11-23 01:29:05,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5324888Z [2022-11-23 01:29:05,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5325130Z [2022-11-23 01:29:05,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5325401Z [2022-11-23 01:29:05,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5325640Z [2022-11-23 01:29:05,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5325887Z [2022-11-23 01:29:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5326271Z [2022-11-23 01:29:05,908] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5326514Z [2022-11-23 01:29:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5326746Z [2022-11-23 01:29:05,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5327001Z [2022-11-23 01:29:05,911] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5327235Z [2022-11-23 01:29:05,918] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5327421Z [2022-11-23 01:29:05,918] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5327554Z __compiled_fn_440 .3459 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5327648Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5327733Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5327905Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5328003Z call_method, view, view, (add, [5040]), {} 2022-11-23T01:30:36.5328167Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5328262Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5328267Z 2022-11-23T01:30:36.5328591Z [2022-11-23 01:29:05,919] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5328683Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5328774Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5328860Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5328951Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5329035Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5329113Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5329190Z 12 RETURN_VALUE 2022-11-23T01:30:36.5329195Z 2022-11-23T01:30:36.5329254Z 2022-11-23T01:30:36.5329575Z [2022-11-23 01:29:05,919] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5329681Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_440) 2022-11-23T01:30:36.5329769Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5329922Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5330000Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5330077Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5330163Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5330238Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5330324Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5330426Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5330589Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5330686Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5330760Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5330854Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5330955Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5331043Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5331121Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5331207Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5331298Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5331382Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5331469Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5331542Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5331644Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5331733Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5331827Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5331914Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5331988Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5332075Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5332148Z 54 RETURN_VALUE 2022-11-23T01:30:36.5332153Z 2022-11-23T01:30:36.5332214Z 2022-11-23T01:30:36.5332403Z [2022-11-23 01:29:05,921] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5332473Z - 2022-11-23T01:30:36.5332592Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5332656Z { 2022-11-23T01:30:36.5332784Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5332971Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5333092Z 'obj_weakref': None 2022-11-23T01:30:36.5333320Z 'guarded_class': 2022-11-23T01:30:36.5333384Z } 2022-11-23T01:30:36.5333450Z 2022-11-23T01:30:36.5333520Z - 2022-11-23T01:30:36.5333630Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5333693Z { 2022-11-23T01:30:36.5333835Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5333941Z 'code': None, 2022-11-23T01:30:36.5334154Z 'obj_weakref': 2022-11-23T01:30:36.5334406Z 'guarded_class': 2022-11-23T01:30:36.5334472Z } 2022-11-23T01:30:36.5334522Z 2022-11-23T01:30:36.5334590Z - 2022-11-23T01:30:36.5334712Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5334776Z { 2022-11-23T01:30:36.5334920Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5335024Z 'code': None, 2022-11-23T01:30:36.5335232Z 'obj_weakref': 2022-11-23T01:30:36.5335468Z 'guarded_class': 2022-11-23T01:30:36.5335532Z } 2022-11-23T01:30:36.5335593Z 2022-11-23T01:30:36.5335663Z - 2022-11-23T01:30:36.5335824Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5335887Z { 2022-11-23T01:30:36.5336021Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5336175Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5336294Z 'obj_weakref': None 2022-11-23T01:30:36.5336522Z 'guarded_class': 2022-11-23T01:30:36.5336613Z } 2022-11-23T01:30:36.5336675Z 2022-11-23T01:30:36.5336744Z - 2022-11-23T01:30:36.5336865Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5336916Z { 2022-11-23T01:30:36.5337050Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5337266Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5337382Z 'obj_weakref': None 2022-11-23T01:30:36.5337605Z 'guarded_class': 2022-11-23T01:30:36.5337668Z } 2022-11-23T01:30:36.5337731Z 2022-11-23T01:30:36.5337786Z - 2022-11-23T01:30:36.5337963Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5338026Z { 2022-11-23T01:30:36.5338195Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5338641Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents == [5040]'], 2022-11-23T01:30:36.5338761Z 'obj_weakref': None 2022-11-23T01:30:36.5338983Z 'guarded_class': 2022-11-23T01:30:36.5339046Z } 2022-11-23T01:30:36.5339097Z 2022-11-23T01:30:36.5339165Z - 2022-11-23T01:30:36.5339351Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5339417Z { 2022-11-23T01:30:36.5339558Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5339841Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 5040'], 2022-11-23T01:30:36.5339957Z 'obj_weakref': None 2022-11-23T01:30:36.5340167Z 'guarded_class': 2022-11-23T01:30:36.5340230Z } 2022-11-23T01:30:36.5340294Z 2022-11-23T01:30:36.5340555Z [2022-11-23 01:29:05,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432 2022-11-23T01:30:36.5340927Z [2022-11-23 01:29:05,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ax/caxc34ardqysjhgkzn3qof7cpwlfanyca4eosyvmsts5zujlviyl.py 2022-11-23T01:30:36.5341192Z [2022-11-23 01:29:05,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432 2022-11-23T01:30:36.5341427Z [2022-11-23 01:29:05,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5341740Z [2022-11-23 01:29:05,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5341957Z [2022-11-23 01:29:05,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5342197Z [2022-11-23 01:29:05,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5342471Z [2022-11-23 01:29:05,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5342789Z [2022-11-23 01:29:05,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5343164Z [2022-11-23 01:29:05,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5343487Z [2022-11-23 01:29:05,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5343866Z [2022-11-23 01:29:05,991] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5343988Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5344080Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5344172Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5344247Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5344339Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5344411Z 10 BINARY_ADD 2022-11-23T01:30:36.5344500Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5344575Z 14 RETURN_VALUE 2022-11-23T01:30:36.5344634Z 2022-11-23T01:30:36.5344639Z 2022-11-23T01:30:36.5344952Z [2022-11-23 01:29:05,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5345160Z [2022-11-23 01:29:05,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5345390Z [2022-11-23 01:29:05,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5345672Z [2022-11-23 01:29:05,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5345973Z [2022-11-23 01:29:05,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5346209Z [2022-11-23 01:29:05,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5346479Z [2022-11-23 01:29:05,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5346720Z [2022-11-23 01:29:05,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5346961Z [2022-11-23 01:29:05,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5347338Z [2022-11-23 01:29:05,996] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5347580Z [2022-11-23 01:29:05,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5347810Z [2022-11-23 01:29:05,996] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5348052Z [2022-11-23 01:29:05,998] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5348301Z [2022-11-23 01:29:06,004] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5348486Z [2022-11-23 01:29:06,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5348620Z __compiled_fn_441 .3465 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5348710Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5348794Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5348894Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {} 2022-11-23T01:30:36.5349056Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5349150Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5349156Z 2022-11-23T01:30:36.5349479Z [2022-11-23 01:29:06,005] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5349596Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5349687Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5349773Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5349864Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5349948Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5350023Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5350127Z 12 RETURN_VALUE 2022-11-23T01:30:36.5350132Z 2022-11-23T01:30:36.5350196Z 2022-11-23T01:30:36.5350515Z [2022-11-23 01:29:06,006] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5350621Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_441) 2022-11-23T01:30:36.5350708Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5350796Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5350873Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5350949Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5351035Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5351110Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5351196Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5351297Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5351425Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5351521Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5351594Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5351689Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5351788Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5351875Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5351950Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5352036Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5352126Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5352210Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5352298Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5352371Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5352470Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5352559Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5352656Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5352741Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5352814Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5352900Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5352974Z 54 RETURN_VALUE 2022-11-23T01:30:36.5352979Z 2022-11-23T01:30:36.5353039Z 2022-11-23T01:30:36.5353221Z [2022-11-23 01:29:06,008] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5353292Z - 2022-11-23T01:30:36.5353409Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5353472Z { 2022-11-23T01:30:36.5353600Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5353785Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5353903Z 'obj_weakref': None 2022-11-23T01:30:36.5354129Z 'guarded_class': 2022-11-23T01:30:36.5354195Z } 2022-11-23T01:30:36.5354255Z 2022-11-23T01:30:36.5354322Z - 2022-11-23T01:30:36.5354433Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5354495Z { 2022-11-23T01:30:36.5354636Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5354741Z 'code': None, 2022-11-23T01:30:36.5354949Z 'obj_weakref': 2022-11-23T01:30:36.5355224Z 'guarded_class': 2022-11-23T01:30:36.5355288Z } 2022-11-23T01:30:36.5355339Z 2022-11-23T01:30:36.5355408Z - 2022-11-23T01:30:36.5355529Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5355591Z { 2022-11-23T01:30:36.5355730Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5355864Z 'code': None, 2022-11-23T01:30:36.5356071Z 'obj_weakref': 2022-11-23T01:30:36.5356307Z 'guarded_class': 2022-11-23T01:30:36.5356370Z } 2022-11-23T01:30:36.5356433Z 2022-11-23T01:30:36.5356499Z - 2022-11-23T01:30:36.5356628Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5356691Z { 2022-11-23T01:30:36.5356825Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5356980Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5357097Z 'obj_weakref': None 2022-11-23T01:30:36.5357324Z 'guarded_class': 2022-11-23T01:30:36.5357387Z } 2022-11-23T01:30:36.5357449Z 2022-11-23T01:30:36.5357516Z - 2022-11-23T01:30:36.5357637Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5357687Z { 2022-11-23T01:30:36.5357821Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5358034Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5358151Z 'obj_weakref': None 2022-11-23T01:30:36.5358371Z 'guarded_class': 2022-11-23T01:30:36.5358433Z } 2022-11-23T01:30:36.5358497Z 2022-11-23T01:30:36.5358552Z - 2022-11-23T01:30:36.5358729Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5358791Z { 2022-11-23T01:30:36.5358954Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5359690Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'], 2022-11-23T01:30:36.5359810Z 'obj_weakref': None 2022-11-23T01:30:36.5360101Z 'guarded_class': 2022-11-23T01:30:36.5360166Z } 2022-11-23T01:30:36.5360216Z 2022-11-23T01:30:36.5360288Z - 2022-11-23T01:30:36.5360472Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5360536Z { 2022-11-23T01:30:36.5360677Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5360957Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 6'], 2022-11-23T01:30:36.5361077Z 'obj_weakref': None 2022-11-23T01:30:36.5361296Z 'guarded_class': 2022-11-23T01:30:36.5361347Z } 2022-11-23T01:30:36.5361410Z 2022-11-23T01:30:36.5361477Z - 2022-11-23T01:30:36.5361659Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5361723Z { 2022-11-23T01:30:36.5361863Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5362181Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:30:36.5362287Z 'obj_weakref': None 2022-11-23T01:30:36.5362509Z 'guarded_class': 2022-11-23T01:30:36.5362573Z } 2022-11-23T01:30:36.5362635Z 2022-11-23T01:30:36.5362730Z - 2022-11-23T01:30:36.5362914Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5362977Z { 2022-11-23T01:30:36.5363103Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5363383Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 5'], 2022-11-23T01:30:36.5363499Z 'obj_weakref': None 2022-11-23T01:30:36.5363718Z 'guarded_class': 2022-11-23T01:30:36.5363781Z } 2022-11-23T01:30:36.5363843Z 2022-11-23T01:30:36.5363909Z - 2022-11-23T01:30:36.5364079Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5364143Z { 2022-11-23T01:30:36.5364281Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5364559Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 42'], 2022-11-23T01:30:36.5364680Z 'obj_weakref': None 2022-11-23T01:30:36.5365008Z 'guarded_class': 2022-11-23T01:30:36.5365072Z } 2022-11-23T01:30:36.5365134Z 2022-11-23T01:30:36.5365383Z [2022-11-23 01:29:06,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433 2022-11-23T01:30:36.5365751Z [2022-11-23 01:29:06,035] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c23oc4rigft6m7xt5tufugzijegso3achtueyj5verosztfuq7gs.py 2022-11-23T01:30:36.5366016Z [2022-11-23 01:29:06,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433 2022-11-23T01:30:36.5366250Z [2022-11-23 01:29:06,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5366567Z [2022-11-23 01:29:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5366784Z [2022-11-23 01:29:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5367036Z [2022-11-23 01:29:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5367311Z [2022-11-23 01:29:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5367632Z [2022-11-23 01:29:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5367964Z [2022-11-23 01:29:06,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5368286Z [2022-11-23 01:29:06,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5368665Z [2022-11-23 01:29:06,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5368757Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5368849Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5368921Z 4 BINARY_ADD 2022-11-23T01:30:36.5369061Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5369155Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5369240Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5369316Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5369389Z 14 BINARY_ADD 2022-11-23T01:30:36.5369478Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5369554Z 18 RETURN_VALUE 2022-11-23T01:30:36.5369651Z 2022-11-23T01:30:36.5369656Z 2022-11-23T01:30:36.5369971Z [2022-11-23 01:29:06,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5370180Z [2022-11-23 01:29:06,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5370404Z [2022-11-23 01:29:06,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5370689Z [2022-11-23 01:29:06,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5370927Z [2022-11-23 01:29:06,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5371207Z [2022-11-23 01:29:06,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5371506Z [2022-11-23 01:29:06,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5371743Z [2022-11-23 01:29:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5372012Z [2022-11-23 01:29:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5372251Z [2022-11-23 01:29:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5372496Z [2022-11-23 01:29:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5372872Z [2022-11-23 01:29:06,050] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5373101Z [2022-11-23 01:29:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5373335Z [2022-11-23 01:29:06,050] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5373584Z [2022-11-23 01:29:06,053] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5373834Z [2022-11-23 01:29:06,058] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5374046Z [2022-11-23 01:29:06,059] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5374232Z __compiled_fn_442 .3471 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5374322Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5374408Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5374567Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5374668Z call_method, view, view, (add, [6, 4, 5, 42]), {} 2022-11-23T01:30:36.5374846Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5374944Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5374950Z 2022-11-23T01:30:36.5375271Z [2022-11-23 01:29:06,059] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5375365Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5375453Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5375539Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5375619Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5375765Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5375857Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5375934Z 12 RETURN_VALUE 2022-11-23T01:30:36.5375939Z 2022-11-23T01:30:36.5376001Z 2022-11-23T01:30:36.5376320Z [2022-11-23 01:29:06,060] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5376481Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_442) 2022-11-23T01:30:36.5376571Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5376647Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5376725Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5376812Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5376902Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5376976Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5377067Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5377170Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5377286Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5377385Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5377475Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5377569Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5377672Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5377761Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5377836Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5377923Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5378002Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5378098Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5378185Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5378263Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5378364Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5378453Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5378547Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5378621Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5378696Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5378798Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5378875Z 54 RETURN_VALUE 2022-11-23T01:30:36.5378880Z 2022-11-23T01:30:36.5378943Z 2022-11-23T01:30:36.5379128Z [2022-11-23 01:29:06,062] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5379197Z - 2022-11-23T01:30:36.5379303Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5379367Z { 2022-11-23T01:30:36.5379506Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5379695Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5379814Z 'obj_weakref': None 2022-11-23T01:30:36.5380039Z 'guarded_class': 2022-11-23T01:30:36.5380104Z } 2022-11-23T01:30:36.5380155Z 2022-11-23T01:30:36.5380224Z - 2022-11-23T01:30:36.5380347Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5380413Z { 2022-11-23T01:30:36.5380557Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5380662Z 'code': None, 2022-11-23T01:30:36.5380873Z 'obj_weakref': 2022-11-23T01:30:36.5381115Z 'guarded_class': 2022-11-23T01:30:36.5381179Z } 2022-11-23T01:30:36.5381240Z 2022-11-23T01:30:36.5381308Z - 2022-11-23T01:30:36.5381430Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5381520Z { 2022-11-23T01:30:36.5381664Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5381756Z 'code': None, 2022-11-23T01:30:36.5381966Z 'obj_weakref': 2022-11-23T01:30:36.5382216Z 'guarded_class': 2022-11-23T01:30:36.5382309Z } 2022-11-23T01:30:36.5382372Z 2022-11-23T01:30:36.5382440Z - 2022-11-23T01:30:36.5382569Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5382619Z { 2022-11-23T01:30:36.5382752Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5382919Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5383037Z 'obj_weakref': None 2022-11-23T01:30:36.5383271Z 'guarded_class': 2022-11-23T01:30:36.5383335Z } 2022-11-23T01:30:36.5383398Z 2022-11-23T01:30:36.5383456Z - 2022-11-23T01:30:36.5383576Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5383641Z { 2022-11-23T01:30:36.5383777Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5383995Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5384114Z 'obj_weakref': None 2022-11-23T01:30:36.5384334Z 'guarded_class': 2022-11-23T01:30:36.5384385Z } 2022-11-23T01:30:36.5384451Z 2022-11-23T01:30:36.5384522Z - 2022-11-23T01:30:36.5384700Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5384765Z { 2022-11-23T01:30:36.5384930Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5385664Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'], 2022-11-23T01:30:36.5385785Z 'obj_weakref': None 2022-11-23T01:30:36.5386003Z 'guarded_class': 2022-11-23T01:30:36.5386054Z } 2022-11-23T01:30:36.5386118Z 2022-11-23T01:30:36.5386186Z - 2022-11-23T01:30:36.5386367Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5386430Z { 2022-11-23T01:30:36.5386574Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5386850Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 6'], 2022-11-23T01:30:36.5386956Z 'obj_weakref': None 2022-11-23T01:30:36.5387174Z 'guarded_class': 2022-11-23T01:30:36.5387236Z } 2022-11-23T01:30:36.5387301Z 2022-11-23T01:30:36.5387368Z - 2022-11-23T01:30:36.5387551Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5387613Z { 2022-11-23T01:30:36.5387740Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5388021Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:30:36.5388137Z 'obj_weakref': None 2022-11-23T01:30:36.5388382Z 'guarded_class': 2022-11-23T01:30:36.5388447Z } 2022-11-23T01:30:36.5388508Z 2022-11-23T01:30:36.5388575Z - 2022-11-23T01:30:36.5388745Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5388807Z { 2022-11-23T01:30:36.5388945Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5389222Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 5'], 2022-11-23T01:30:36.5389369Z 'obj_weakref': None 2022-11-23T01:30:36.5389587Z 'guarded_class': 2022-11-23T01:30:36.5389653Z } 2022-11-23T01:30:36.5389716Z 2022-11-23T01:30:36.5389772Z - 2022-11-23T01:30:36.5389954Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5390019Z { 2022-11-23T01:30:36.5390160Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5390441Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 42'], 2022-11-23T01:30:36.5390557Z 'obj_weakref': None 2022-11-23T01:30:36.5390774Z 'guarded_class': 2022-11-23T01:30:36.5390827Z } 2022-11-23T01:30:36.5390889Z 2022-11-23T01:30:36.5391150Z [2022-11-23 01:29:06,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434 2022-11-23T01:30:36.5391512Z [2022-11-23 01:29:06,139] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3f/c3fqlatyoyf5635ctn6vwpxmb556cs74qrsipa4sxn6qvv436ii4.py 2022-11-23T01:30:36.5391773Z [2022-11-23 01:29:06,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434 2022-11-23T01:30:36.5392012Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5392324Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5392539Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5392791Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5393057Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5393379Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5393725Z [2022-11-23 01:29:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5394051Z [2022-11-23 01:29:06,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5394425Z [2022-11-23 01:29:06,144] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5394520Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5394613Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5394704Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5394791Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5394867Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5394941Z 10 BINARY_ADD 2022-11-23T01:30:36.5395028Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5395135Z 14 RETURN_VALUE 2022-11-23T01:30:36.5395197Z 2022-11-23T01:30:36.5395202Z 2022-11-23T01:30:36.5395517Z [2022-11-23 01:29:06,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5395722Z [2022-11-23 01:29:06,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5395961Z [2022-11-23 01:29:06,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5396262Z [2022-11-23 01:29:06,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5396564Z [2022-11-23 01:29:06,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5396800Z [2022-11-23 01:29:06,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5397072Z [2022-11-23 01:29:06,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5397311Z [2022-11-23 01:29:06,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5397554Z [2022-11-23 01:29:06,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5397934Z [2022-11-23 01:29:06,147] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5398181Z [2022-11-23 01:29:06,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5398413Z [2022-11-23 01:29:06,147] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5398664Z [2022-11-23 01:29:06,148] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5398903Z [2022-11-23 01:29:06,151] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5399091Z [2022-11-23 01:29:06,151] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5399226Z __compiled_fn_443 .3477 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5399313Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5399400Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5399501Z call_method, view, view, (ex_0_, [50, 20]), {} 2022-11-23T01:30:36.5399677Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5399760Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5399777Z 2022-11-23T01:30:36.5400173Z [2022-11-23 01:29:06,152] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5400267Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5400358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5400443Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5400534Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5400618Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5400707Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5400770Z 12 RETURN_VALUE 2022-11-23T01:30:36.5400775Z 2022-11-23T01:30:36.5400837Z 2022-11-23T01:30:36.5401160Z [2022-11-23 01:29:06,152] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5401266Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_443) 2022-11-23T01:30:36.5401355Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5401443Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5401518Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5401605Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5401710Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5401784Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5401871Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5401974Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5402102Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5402196Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5402311Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5402393Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5402490Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5402577Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5402651Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5402738Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5402828Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5402927Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5403003Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5403078Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5403179Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5403270Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5403366Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5403453Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5403527Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5403613Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5403688Z 54 RETURN_VALUE 2022-11-23T01:30:36.5403692Z 2022-11-23T01:30:36.5403751Z 2022-11-23T01:30:36.5403936Z [2022-11-23 01:29:06,153] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5404004Z - 2022-11-23T01:30:36.5404121Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5404188Z { 2022-11-23T01:30:36.5404329Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5404501Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5404619Z 'obj_weakref': None 2022-11-23T01:30:36.5404985Z 'guarded_class': 2022-11-23T01:30:36.5405052Z } 2022-11-23T01:30:36.5405119Z 2022-11-23T01:30:36.5405188Z - 2022-11-23T01:30:36.5405310Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5405362Z { 2022-11-23T01:30:36.5405502Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5405609Z 'code': None, 2022-11-23T01:30:36.5405820Z 'obj_weakref': 2022-11-23T01:30:36.5406075Z 'guarded_class': 2022-11-23T01:30:36.5406138Z } 2022-11-23T01:30:36.5406202Z 2022-11-23T01:30:36.5406258Z - 2022-11-23T01:30:36.5406379Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5406443Z { 2022-11-23T01:30:36.5406583Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5406688Z 'code': None, 2022-11-23T01:30:36.5406897Z 'obj_weakref': 2022-11-23T01:30:36.5407150Z 'guarded_class': 2022-11-23T01:30:36.5407201Z } 2022-11-23T01:30:36.5407263Z 2022-11-23T01:30:36.5407334Z - 2022-11-23T01:30:36.5407465Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5407527Z { 2022-11-23T01:30:36.5407660Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5407878Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5407987Z 'obj_weakref': None 2022-11-23T01:30:36.5408217Z 'guarded_class': 2022-11-23T01:30:36.5408280Z } 2022-11-23T01:30:36.5408342Z 2022-11-23T01:30:36.5408411Z - 2022-11-23T01:30:36.5408532Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5408595Z { 2022-11-23T01:30:36.5408753Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5408967Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5409085Z 'obj_weakref': None 2022-11-23T01:30:36.5409304Z 'guarded_class': 2022-11-23T01:30:36.5409367Z } 2022-11-23T01:30:36.5409429Z 2022-11-23T01:30:36.5409496Z - 2022-11-23T01:30:36.5409662Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5409724Z { 2022-11-23T01:30:36.5409893Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5410438Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [50, 20]'], 2022-11-23T01:30:36.5410561Z 'obj_weakref': None 2022-11-23T01:30:36.5410780Z 'guarded_class': 2022-11-23T01:30:36.5410842Z } 2022-11-23T01:30:36.5410903Z 2022-11-23T01:30:36.5410958Z - 2022-11-23T01:30:36.5411140Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5411204Z { 2022-11-23T01:30:36.5411347Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5411630Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 50'], 2022-11-23T01:30:36.5411747Z 'obj_weakref': None 2022-11-23T01:30:36.5411966Z 'guarded_class': 2022-11-23T01:30:36.5412018Z } 2022-11-23T01:30:36.5412081Z 2022-11-23T01:30:36.5412148Z - 2022-11-23T01:30:36.5412329Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5412391Z { 2022-11-23T01:30:36.5412531Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5412811Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 20'], 2022-11-23T01:30:36.5412918Z 'obj_weakref': None 2022-11-23T01:30:36.5413141Z 'guarded_class': 2022-11-23T01:30:36.5413205Z } 2022-11-23T01:30:36.5413267Z 2022-11-23T01:30:36.5413525Z [2022-11-23 01:29:06,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435 2022-11-23T01:30:36.5413530Z 2022-11-23T01:30:36.5413626Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5413696Z import torch 2022-11-23T01:30:36.5413822Z import random 2022-11-23T01:30:36.5413924Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5414043Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5414048Z 2022-11-23T01:30:36.5414125Z aten = torch.ops.aten 2022-11-23T01:30:36.5414256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5414346Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5414351Z 2022-11-23T01:30:36.5414357Z 2022-11-23T01:30:36.5414520Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5414724Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5414843Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5414935Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5415034Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5415094Z { 2022-11-23T01:30:36.5415219Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5415281Z { 2022-11-23T01:30:36.5415356Z #pragma omp for 2022-11-23T01:30:36.5415437Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.5415488Z { 2022-11-23T01:30:36.5415632Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5415763Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5415851Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5415941Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5416006Z } 2022-11-23T01:30:36.5416099Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5416173Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.5416236Z { 2022-11-23T01:30:36.5416319Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5416402Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5416484Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5416566Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5416627Z } 2022-11-23T01:30:36.5416675Z } 2022-11-23T01:30:36.5416735Z } 2022-11-23T01:30:36.5416815Z ''') 2022-11-23T01:30:36.5416820Z 2022-11-23T01:30:36.5416825Z 2022-11-23T01:30:36.5416913Z async_compile.wait(globals()) 2022-11-23T01:30:36.5416985Z del async_compile 2022-11-23T01:30:36.5416990Z 2022-11-23T01:30:36.5417062Z def call(args): 2022-11-23T01:30:36.5417138Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5417196Z args.clear() 2022-11-23T01:30:36.5417399Z buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5417564Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5417632Z del arg0_1 2022-11-23T01:30:36.5417698Z del arg1_1 2022-11-23T01:30:36.5417770Z return (buf0, ) 2022-11-23T01:30:36.5417775Z 2022-11-23T01:30:36.5417779Z 2022-11-23T01:30:36.5417853Z if __name__ == "__main__": 2022-11-23T01:30:36.5417969Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5418078Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5418310Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5418506Z arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5418622Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5418627Z 2022-11-23T01:30:36.5418631Z 2022-11-23T01:30:36.5418726Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5418795Z import torch 2022-11-23T01:30:36.5418865Z import random 2022-11-23T01:30:36.5418979Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5419087Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5419091Z 2022-11-23T01:30:36.5419169Z aten = torch.ops.aten 2022-11-23T01:30:36.5419302Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5419395Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5419400Z 2022-11-23T01:30:36.5419404Z 2022-11-23T01:30:36.5419535Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5419738Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5419858Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5419960Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5420048Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5420146Z { 2022-11-23T01:30:36.5420244Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5420341Z { 2022-11-23T01:30:36.5420416Z #pragma omp for 2022-11-23T01:30:36.5420499Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.5420549Z { 2022-11-23T01:30:36.5420686Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5420814Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5420973Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5421061Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5421143Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5421233Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5421295Z } 2022-11-23T01:30:36.5421377Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5421462Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.5421527Z { 2022-11-23T01:30:36.5421613Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5421695Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5421792Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5421875Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5421943Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5422022Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5422085Z } 2022-11-23T01:30:36.5422149Z } 2022-11-23T01:30:36.5422208Z } 2022-11-23T01:30:36.5422289Z ''') 2022-11-23T01:30:36.5422294Z 2022-11-23T01:30:36.5422298Z 2022-11-23T01:30:36.5422385Z async_compile.wait(globals()) 2022-11-23T01:30:36.5422445Z del async_compile 2022-11-23T01:30:36.5422450Z 2022-11-23T01:30:36.5422520Z def call(args): 2022-11-23T01:30:36.5422594Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5422665Z args.clear() 2022-11-23T01:30:36.5422861Z buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5423023Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5423091Z del arg0_1 2022-11-23T01:30:36.5423144Z del arg1_1 2022-11-23T01:30:36.5423217Z return (buf0, ) 2022-11-23T01:30:36.5423221Z 2022-11-23T01:30:36.5423225Z 2022-11-23T01:30:36.5423300Z if __name__ == "__main__": 2022-11-23T01:30:36.5423411Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5423539Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5423776Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5423971Z arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5424119Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5424124Z 2022-11-23T01:30:36.5424128Z 2022-11-23T01:30:36.5424221Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5424278Z import torch 2022-11-23T01:30:36.5424348Z import random 2022-11-23T01:30:36.5424462Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5424581Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5424585Z 2022-11-23T01:30:36.5424661Z aten = torch.ops.aten 2022-11-23T01:30:36.5424792Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5424884Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5424889Z 2022-11-23T01:30:36.5424895Z 2022-11-23T01:30:36.5425025Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5425218Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5425337Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5425437Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5425534Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5425594Z { 2022-11-23T01:30:36.5425690Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5425792Z { 2022-11-23T01:30:36.5425857Z #pragma omp for 2022-11-23T01:30:36.5425938Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.5426000Z { 2022-11-23T01:30:36.5426130Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5426259Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5426344Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5426467Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5426517Z } 2022-11-23T01:30:36.5426611Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5426696Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.5426757Z { 2022-11-23T01:30:36.5426840Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5426920Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5427002Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5427068Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5427131Z } 2022-11-23T01:30:36.5427192Z } 2022-11-23T01:30:36.5427250Z } 2022-11-23T01:30:36.5427328Z ''') 2022-11-23T01:30:36.5427332Z 2022-11-23T01:30:36.5427336Z 2022-11-23T01:30:36.5427423Z async_compile.wait(globals()) 2022-11-23T01:30:36.5427494Z del async_compile 2022-11-23T01:30:36.5427499Z 2022-11-23T01:30:36.5427556Z def call(args): 2022-11-23T01:30:36.5427631Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5427702Z args.clear() 2022-11-23T01:30:36.5427918Z buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5428076Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5428143Z del arg0_1 2022-11-23T01:30:36.5428209Z del arg1_1 2022-11-23T01:30:36.5428266Z return (buf0, ) 2022-11-23T01:30:36.5428271Z 2022-11-23T01:30:36.5428287Z 2022-11-23T01:30:36.5428350Z if __name__ == "__main__": 2022-11-23T01:30:36.5428463Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5428583Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5428816Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5429030Z arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5429143Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5429151Z 2022-11-23T01:30:36.5429155Z 2022-11-23T01:30:36.5429246Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5429314Z import torch 2022-11-23T01:30:36.5429371Z import random 2022-11-23T01:30:36.5429485Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5429604Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5429609Z 2022-11-23T01:30:36.5429686Z aten = torch.ops.aten 2022-11-23T01:30:36.5429818Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5429911Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5429915Z 2022-11-23T01:30:36.5429919Z 2022-11-23T01:30:36.5430051Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5430253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5430357Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5430459Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5430562Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5430622Z { 2022-11-23T01:30:36.5430717Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5430777Z { 2022-11-23T01:30:36.5430852Z #pragma omp for 2022-11-23T01:30:36.5430921Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:30:36.5430982Z { 2022-11-23T01:30:36.5431114Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5431270Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5431400Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5431484Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5431565Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5431643Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5431704Z } 2022-11-23T01:30:36.5431799Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5431913Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:30:36.5431975Z { 2022-11-23T01:30:36.5432057Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5432154Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5432240Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5432322Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5432402Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5432480Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5432541Z } 2022-11-23T01:30:36.5432603Z } 2022-11-23T01:30:36.5432662Z } 2022-11-23T01:30:36.5432726Z ''') 2022-11-23T01:30:36.5432731Z 2022-11-23T01:30:36.5432736Z 2022-11-23T01:30:36.5432823Z async_compile.wait(globals()) 2022-11-23T01:30:36.5432894Z del async_compile 2022-11-23T01:30:36.5432899Z 2022-11-23T01:30:36.5432968Z def call(args): 2022-11-23T01:30:36.5433041Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5433111Z args.clear() 2022-11-23T01:30:36.5433323Z buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5433475Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5433543Z del arg0_1 2022-11-23T01:30:36.5433608Z del arg1_1 2022-11-23T01:30:36.5433680Z return (buf0, ) 2022-11-23T01:30:36.5433685Z 2022-11-23T01:30:36.5433689Z 2022-11-23T01:30:36.5433762Z if __name__ == "__main__": 2022-11-23T01:30:36.5433874Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5433998Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5434233Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5434435Z arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5434548Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5434553Z 2022-11-23T01:30:36.5434924Z [2022-11-23 01:29:06,167] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s4/cs4ovbjhkcmy332qoatfbf4iickboahfoezpi7u7pn4n4incbjb6.py 2022-11-23T01:30:36.5435190Z [2022-11-23 01:29:06,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435 2022-11-23T01:30:36.5435425Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5435740Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5435955Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5436206Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5436480Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5436800Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5437133Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5437485Z [2022-11-23 01:29:06,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5437862Z [2022-11-23 01:29:06,172] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5437955Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5438044Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5438117Z 4 BINARY_ADD 2022-11-23T01:30:36.5438238Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5438329Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5438402Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5438491Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5438561Z 14 BINARY_ADD 2022-11-23T01:30:36.5438670Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5438745Z 18 RETURN_VALUE 2022-11-23T01:30:36.5438804Z 2022-11-23T01:30:36.5438809Z 2022-11-23T01:30:36.5439123Z [2022-11-23 01:29:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5439329Z [2022-11-23 01:29:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5439556Z [2022-11-23 01:29:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5439834Z [2022-11-23 01:29:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5440172Z [2022-11-23 01:29:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5440455Z [2022-11-23 01:29:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5440756Z [2022-11-23 01:29:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5440993Z [2022-11-23 01:29:06,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5441262Z [2022-11-23 01:29:06,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5441500Z [2022-11-23 01:29:06,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5441745Z [2022-11-23 01:29:06,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5442122Z [2022-11-23 01:29:06,175] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5442355Z [2022-11-23 01:29:06,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5442591Z [2022-11-23 01:29:06,175] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5442841Z [2022-11-23 01:29:06,176] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5443088Z [2022-11-23 01:29:06,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5443276Z [2022-11-23 01:29:06,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5443412Z __compiled_fn_444 .3483 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5443502Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5443587Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5443746Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5443845Z call_method, view, view, (add, [50, 20]), {} 2022-11-23T01:30:36.5444022Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5444118Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5444123Z 2022-11-23T01:30:36.5444481Z [2022-11-23 01:29:06,180] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5444577Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5444665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5444865Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5444945Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5445079Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5445168Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5445243Z 12 RETURN_VALUE 2022-11-23T01:30:36.5445249Z 2022-11-23T01:30:36.5445308Z 2022-11-23T01:30:36.5445634Z [2022-11-23 01:29:06,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5445743Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_444) 2022-11-23T01:30:36.5445833Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5445910Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5445987Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5446076Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5446164Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5446240Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5446329Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5446431Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5446546Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5446642Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5446729Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5446825Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5446925Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5447016Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5447093Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5447167Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5447257Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5447354Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5447441Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5447521Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5447622Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5447712Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5447808Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5447881Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5447955Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5448053Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5448130Z 54 RETURN_VALUE 2022-11-23T01:30:36.5448135Z 2022-11-23T01:30:36.5448196Z 2022-11-23T01:30:36.5448377Z [2022-11-23 01:29:06,182] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5448447Z - 2022-11-23T01:30:36.5448552Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5448615Z { 2022-11-23T01:30:36.5448755Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5448940Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5449060Z 'obj_weakref': None 2022-11-23T01:30:36.5449284Z 'guarded_class': 2022-11-23T01:30:36.5449349Z } 2022-11-23T01:30:36.5449400Z 2022-11-23T01:30:36.5449467Z - 2022-11-23T01:30:36.5449593Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5449656Z { 2022-11-23T01:30:36.5449798Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5449941Z 'code': None, 2022-11-23T01:30:36.5450154Z 'obj_weakref': 2022-11-23T01:30:36.5450394Z 'guarded_class': 2022-11-23T01:30:36.5450459Z } 2022-11-23T01:30:36.5450525Z 2022-11-23T01:30:36.5450593Z - 2022-11-23T01:30:36.5450716Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5450807Z { 2022-11-23T01:30:36.5450948Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5451041Z 'code': None, 2022-11-23T01:30:36.5451251Z 'obj_weakref': 2022-11-23T01:30:36.5451502Z 'guarded_class': 2022-11-23T01:30:36.5451566Z } 2022-11-23T01:30:36.5451631Z 2022-11-23T01:30:36.5451701Z - 2022-11-23T01:30:36.5451830Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5451882Z { 2022-11-23T01:30:36.5452015Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5452183Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5452304Z 'obj_weakref': None 2022-11-23T01:30:36.5452533Z 'guarded_class': 2022-11-23T01:30:36.5452600Z } 2022-11-23T01:30:36.5452663Z 2022-11-23T01:30:36.5452718Z - 2022-11-23T01:30:36.5452838Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5452900Z { 2022-11-23T01:30:36.5453039Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5453255Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5453372Z 'obj_weakref': None 2022-11-23T01:30:36.5453596Z 'guarded_class': 2022-11-23T01:30:36.5453647Z } 2022-11-23T01:30:36.5453710Z 2022-11-23T01:30:36.5453780Z - 2022-11-23T01:30:36.5453955Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5454018Z { 2022-11-23T01:30:36.5454183Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5454726Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [50, 20]'], 2022-11-23T01:30:36.5454845Z 'obj_weakref': None 2022-11-23T01:30:36.5455055Z 'guarded_class': 2022-11-23T01:30:36.5455121Z } 2022-11-23T01:30:36.5455184Z 2022-11-23T01:30:36.5455254Z - 2022-11-23T01:30:36.5455439Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5455502Z { 2022-11-23T01:30:36.5455643Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5455912Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 50'], 2022-11-23T01:30:36.5456033Z 'obj_weakref': None 2022-11-23T01:30:36.5456251Z 'guarded_class': 2022-11-23T01:30:36.5456316Z } 2022-11-23T01:30:36.5456382Z 2022-11-23T01:30:36.5456451Z - 2022-11-23T01:30:36.5456633Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5456684Z { 2022-11-23T01:30:36.5456858Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5457141Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 20'], 2022-11-23T01:30:36.5457260Z 'obj_weakref': None 2022-11-23T01:30:36.5457478Z 'guarded_class': 2022-11-23T01:30:36.5457542Z } 2022-11-23T01:30:36.5457634Z 2022-11-23T01:30:36.5457896Z [2022-11-23 01:29:06,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436 2022-11-23T01:30:36.5458250Z [2022-11-23 01:29:06,210] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3h/c3hs3e5zu2uoyrbgeph5jwfr2ixe35uvjtettkqii7zb7ufo2jh6.py 2022-11-23T01:30:36.5458516Z [2022-11-23 01:29:06,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436 2022-11-23T01:30:36.5458753Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5459072Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5459289Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5459541Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5459820Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5460135Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5460485Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5460810Z [2022-11-23 01:29:06,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5461179Z [2022-11-23 01:29:06,215] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5461273Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5461370Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5461465Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5461551Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5461639Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5461714Z 10 BINARY_ADD 2022-11-23T01:30:36.5461802Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5461865Z 14 RETURN_VALUE 2022-11-23T01:30:36.5461926Z 2022-11-23T01:30:36.5461933Z 2022-11-23T01:30:36.5462245Z [2022-11-23 01:29:06,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5462456Z [2022-11-23 01:29:06,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5462697Z [2022-11-23 01:29:06,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5462981Z [2022-11-23 01:29:06,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5463283Z [2022-11-23 01:29:06,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5463518Z [2022-11-23 01:29:06,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5463840Z [2022-11-23 01:29:06,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5464071Z [2022-11-23 01:29:06,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5464319Z [2022-11-23 01:29:06,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5464698Z [2022-11-23 01:29:06,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5464970Z [2022-11-23 01:29:06,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5465201Z [2022-11-23 01:29:06,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5465453Z [2022-11-23 01:29:06,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5465704Z [2022-11-23 01:29:06,221] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5465890Z [2022-11-23 01:29:06,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5466025Z __compiled_fn_445 .3489 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5466102Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5466189Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5466288Z call_method, view, view, (ex_0_, [1, 10, 1]), {} 2022-11-23T01:30:36.5466470Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5466564Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5466570Z 2022-11-23T01:30:36.5466893Z [2022-11-23 01:29:06,222] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5466986Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5467075Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5467151Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5467243Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5467327Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5467416Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5467491Z 12 RETURN_VALUE 2022-11-23T01:30:36.5467496Z 2022-11-23T01:30:36.5467556Z 2022-11-23T01:30:36.5467876Z [2022-11-23 01:29:06,222] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5467973Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_445) 2022-11-23T01:30:36.5468062Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5468150Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5468225Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5468312Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5468400Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5468475Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5468549Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5468652Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5468778Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5468872Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5468961Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5469053Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5469153Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5469240Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5469303Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5469390Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5469483Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5469608Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5469697Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5469794Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5469895Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5469973Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5470068Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5470154Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5470261Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5470359Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5470434Z 54 RETURN_VALUE 2022-11-23T01:30:36.5470439Z 2022-11-23T01:30:36.5470499Z 2022-11-23T01:30:36.5470669Z [2022-11-23 01:29:06,223] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5470738Z - 2022-11-23T01:30:36.5470856Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5470921Z { 2022-11-23T01:30:36.5471063Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5471249Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5471368Z 'obj_weakref': None 2022-11-23T01:30:36.5471579Z 'guarded_class': 2022-11-23T01:30:36.5471644Z } 2022-11-23T01:30:36.5471706Z 2022-11-23T01:30:36.5471776Z - 2022-11-23T01:30:36.5471899Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5471961Z { 2022-11-23T01:30:36.5472100Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5472193Z 'code': None, 2022-11-23T01:30:36.5472405Z 'obj_weakref': 2022-11-23T01:30:36.5472657Z 'guarded_class': 2022-11-23T01:30:36.5472721Z } 2022-11-23T01:30:36.5472786Z 2022-11-23T01:30:36.5472856Z - 2022-11-23T01:30:36.5472975Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5473026Z { 2022-11-23T01:30:36.5473167Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5473270Z 'code': None, 2022-11-23T01:30:36.5473479Z 'obj_weakref': 2022-11-23T01:30:36.5473732Z 'guarded_class': 2022-11-23T01:30:36.5473794Z } 2022-11-23T01:30:36.5473858Z 2022-11-23T01:30:36.5473912Z - 2022-11-23T01:30:36.5474040Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5474102Z { 2022-11-23T01:30:36.5474238Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5474405Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5474525Z 'obj_weakref': None 2022-11-23T01:30:36.5474754Z 'guarded_class': 2022-11-23T01:30:36.5474818Z } 2022-11-23T01:30:36.5474869Z 2022-11-23T01:30:36.5474937Z - 2022-11-23T01:30:36.5475056Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5475119Z { 2022-11-23T01:30:36.5475251Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5475469Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5475573Z 'obj_weakref': None 2022-11-23T01:30:36.5475792Z 'guarded_class': 2022-11-23T01:30:36.5475855Z } 2022-11-23T01:30:36.5475917Z 2022-11-23T01:30:36.5475983Z - 2022-11-23T01:30:36.5476159Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5476282Z { 2022-11-23T01:30:36.5476439Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5477080Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents == [1, 10, 1]'], 2022-11-23T01:30:36.5477224Z 'obj_weakref': None 2022-11-23T01:30:36.5477447Z 'guarded_class': 2022-11-23T01:30:36.5477509Z } 2022-11-23T01:30:36.5477570Z 2022-11-23T01:30:36.5477638Z - 2022-11-23T01:30:36.5477820Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5477882Z { 2022-11-23T01:30:36.5478013Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5478292Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:30:36.5478409Z 'obj_weakref': None 2022-11-23T01:30:36.5478628Z 'guarded_class': 2022-11-23T01:30:36.5478695Z } 2022-11-23T01:30:36.5478757Z 2022-11-23T01:30:36.5478827Z - 2022-11-23T01:30:36.5478995Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5479059Z { 2022-11-23T01:30:36.5479198Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5479479Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 10'], 2022-11-23T01:30:36.5479597Z 'obj_weakref': None 2022-11-23T01:30:36.5479818Z 'guarded_class': 2022-11-23T01:30:36.5479880Z } 2022-11-23T01:30:36.5479931Z 2022-11-23T01:30:36.5480097Z - 2022-11-23T01:30:36.5480287Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5480350Z { 2022-11-23T01:30:36.5480492Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5480775Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 1'], 2022-11-23T01:30:36.5480893Z 'obj_weakref': None 2022-11-23T01:30:36.5481158Z 'guarded_class': 2022-11-23T01:30:36.5481209Z } 2022-11-23T01:30:36.5481272Z 2022-11-23T01:30:36.5481533Z [2022-11-23 01:29:06,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437 2022-11-23T01:30:36.5481909Z [2022-11-23 01:29:06,237] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfefbuhddayxga4pgbiomfjl5yob7yfnds43a7ayhvaech3g4lkf.py 2022-11-23T01:30:36.5482174Z [2022-11-23 01:29:06,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437 2022-11-23T01:30:36.5482409Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5482724Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5482939Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5483177Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5483498Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5483817Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5484163Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5484514Z [2022-11-23 01:29:06,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5485002Z [2022-11-23 01:29:06,242] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5485097Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5485188Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5485264Z 4 BINARY_ADD 2022-11-23T01:30:36.5485359Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5485439Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5485523Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5485661Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5485733Z 14 BINARY_ADD 2022-11-23T01:30:36.5485822Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5485901Z 18 RETURN_VALUE 2022-11-23T01:30:36.5485948Z 2022-11-23T01:30:36.5485965Z 2022-11-23T01:30:36.5486270Z [2022-11-23 01:29:06,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5486477Z [2022-11-23 01:29:06,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5486717Z [2022-11-23 01:29:06,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5486999Z [2022-11-23 01:29:06,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5487239Z [2022-11-23 01:29:06,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5487519Z [2022-11-23 01:29:06,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5487820Z [2022-11-23 01:29:06,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5488054Z [2022-11-23 01:29:06,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5488321Z [2022-11-23 01:29:06,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5488550Z [2022-11-23 01:29:06,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5488794Z [2022-11-23 01:29:06,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5489174Z [2022-11-23 01:29:06,245] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5489420Z [2022-11-23 01:29:06,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5489655Z [2022-11-23 01:29:06,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5489909Z [2022-11-23 01:29:06,246] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5490154Z [2022-11-23 01:29:06,250] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5490346Z [2022-11-23 01:29:06,250] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5490559Z __compiled_fn_446 .3495 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5490636Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5490723Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5490894Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5490995Z call_method, view, view, (add, [1, 10, 1]), {} 2022-11-23T01:30:36.5491173Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5491303Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5491308Z 2022-11-23T01:30:36.5491634Z [2022-11-23 01:29:06,250] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5491728Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5491804Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5491891Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5491984Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5492068Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5492155Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5492230Z 12 RETURN_VALUE 2022-11-23T01:30:36.5492236Z 2022-11-23T01:30:36.5492295Z 2022-11-23T01:30:36.5492615Z [2022-11-23 01:29:06,251] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5492713Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_446) 2022-11-23T01:30:36.5492801Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5492891Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5492966Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5493053Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5493140Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5493216Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5493291Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5493392Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5493518Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5493615Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5493701Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5493797Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5493896Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5493971Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5494046Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5494132Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5494226Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5494326Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5494416Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5494493Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5494592Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5494669Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5494766Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5494855Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5494933Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5495032Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5495107Z 54 RETURN_VALUE 2022-11-23T01:30:36.5495111Z 2022-11-23T01:30:36.5495172Z 2022-11-23T01:30:36.5495343Z [2022-11-23 01:29:06,252] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5495413Z - 2022-11-23T01:30:36.5495530Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5495596Z { 2022-11-23T01:30:36.5495734Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5495948Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5496067Z 'obj_weakref': None 2022-11-23T01:30:36.5496278Z 'guarded_class': 2022-11-23T01:30:36.5496344Z } 2022-11-23T01:30:36.5496410Z 2022-11-23T01:30:36.5496478Z - 2022-11-23T01:30:36.5496601Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5496692Z { 2022-11-23T01:30:36.5496833Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5496926Z 'code': None, 2022-11-23T01:30:36.5497139Z 'obj_weakref': 2022-11-23T01:30:36.5497390Z 'guarded_class': 2022-11-23T01:30:36.5497455Z } 2022-11-23T01:30:36.5497518Z 2022-11-23T01:30:36.5497587Z - 2022-11-23T01:30:36.5497711Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5497762Z { 2022-11-23T01:30:36.5497902Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5498008Z 'code': None, 2022-11-23T01:30:36.5498217Z 'obj_weakref': 2022-11-23T01:30:36.5498467Z 'guarded_class': 2022-11-23T01:30:36.5498534Z } 2022-11-23T01:30:36.5498598Z 2022-11-23T01:30:36.5498655Z - 2022-11-23T01:30:36.5498786Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5498850Z { 2022-11-23T01:30:36.5498984Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5499150Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5499267Z 'obj_weakref': None 2022-11-23T01:30:36.5499496Z 'guarded_class': 2022-11-23T01:30:36.5499547Z } 2022-11-23T01:30:36.5499611Z 2022-11-23T01:30:36.5499680Z - 2022-11-23T01:30:36.5499799Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5499863Z { 2022-11-23T01:30:36.5499996Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5500210Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5500317Z 'obj_weakref': None 2022-11-23T01:30:36.5500538Z 'guarded_class': 2022-11-23T01:30:36.5500601Z } 2022-11-23T01:30:36.5500663Z 2022-11-23T01:30:36.5500732Z - 2022-11-23T01:30:36.5500907Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5500970Z { 2022-11-23T01:30:36.5501126Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5501769Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents == [1, 10, 1]'], 2022-11-23T01:30:36.5501893Z 'obj_weakref': None 2022-11-23T01:30:36.5502115Z 'guarded_class': 2022-11-23T01:30:36.5502177Z } 2022-11-23T01:30:36.5502241Z 2022-11-23T01:30:36.5502310Z - 2022-11-23T01:30:36.5502492Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5502541Z { 2022-11-23T01:30:36.5502685Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5502998Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:30:36.5503119Z 'obj_weakref': None 2022-11-23T01:30:36.5503341Z 'guarded_class': 2022-11-23T01:30:36.5503405Z } 2022-11-23T01:30:36.5503468Z 2022-11-23T01:30:36.5503564Z - 2022-11-23T01:30:36.5503736Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5503800Z { 2022-11-23T01:30:36.5503943Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5504222Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 10'], 2022-11-23T01:30:36.5504343Z 'obj_weakref': None 2022-11-23T01:30:36.5504564Z 'guarded_class': 2022-11-23T01:30:36.5504630Z } 2022-11-23T01:30:36.5504682Z 2022-11-23T01:30:36.5504752Z - 2022-11-23T01:30:36.5504936Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5504999Z { 2022-11-23T01:30:36.5505140Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5505414Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 1'], 2022-11-23T01:30:36.5509972Z 'obj_weakref': None 2022-11-23T01:30:36.5510242Z 'guarded_class': 2022-11-23T01:30:36.5510309Z } 2022-11-23T01:30:36.5510360Z 2022-11-23T01:30:36.5510634Z [2022-11-23 01:29:06,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438 2022-11-23T01:30:36.5511007Z [2022-11-23 01:29:06,266] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7a62eh3ylbucmpjyr7q2mv64ptm4a4b4icgpcov2ooqxrpvvnd.py 2022-11-23T01:30:36.5511280Z [2022-11-23 01:29:06,266] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438 2022-11-23T01:30:36.5511517Z [2022-11-23 01:29:06,269] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5511836Z [2022-11-23 01:29:06,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5512052Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5512306Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5512580Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5512887Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5513234Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5513555Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5513937Z [2022-11-23 01:29:06,270] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5514029Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5514122Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5514215Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5514402Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5514494Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5514555Z 10 BINARY_ADD 2022-11-23T01:30:36.5514642Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5514717Z 14 RETURN_VALUE 2022-11-23T01:30:36.5514778Z 2022-11-23T01:30:36.5514784Z 2022-11-23T01:30:36.5515100Z [2022-11-23 01:29:06,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5515345Z [2022-11-23 01:29:06,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5515587Z [2022-11-23 01:29:06,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5515869Z [2022-11-23 01:29:06,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5516161Z [2022-11-23 01:29:06,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5516393Z [2022-11-23 01:29:06,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5516661Z [2022-11-23 01:29:06,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5516901Z [2022-11-23 01:29:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5517145Z [2022-11-23 01:29:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5517522Z [2022-11-23 01:29:06,273] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5517768Z [2022-11-23 01:29:06,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5517999Z [2022-11-23 01:29:06,273] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5518251Z [2022-11-23 01:29:06,274] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5518498Z [2022-11-23 01:29:06,277] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5518675Z [2022-11-23 01:29:06,277] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5518808Z __compiled_fn_447 .3501 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5518897Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5518982Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5519088Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {} 2022-11-23T01:30:36.5519266Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5519360Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5519368Z 2022-11-23T01:30:36.5519677Z [2022-11-23 01:29:06,278] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5519770Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5519859Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5519944Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5520145Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5520232Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5520319Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5520394Z 12 RETURN_VALUE 2022-11-23T01:30:36.5520399Z 2022-11-23T01:30:36.5520446Z 2022-11-23T01:30:36.5520772Z [2022-11-23 01:29:06,278] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5520920Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_447) 2022-11-23T01:30:36.5521010Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5521098Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5521174Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5521263Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5521336Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5521414Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5521554Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5521656Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5521781Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5521876Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5521966Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5522060Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5522153Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5522239Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5522314Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5522400Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5522490Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5522585Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5522670Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5522735Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5522836Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5522925Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5523022Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5523106Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5523179Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5523278Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5523342Z 54 RETURN_VALUE 2022-11-23T01:30:36.5523358Z 2022-11-23T01:30:36.5523407Z 2022-11-23T01:30:36.5523588Z [2022-11-23 01:29:06,279] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5523656Z - 2022-11-23T01:30:36.5523773Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5523835Z { 2022-11-23T01:30:36.5523973Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5524150Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5524268Z 'obj_weakref': None 2022-11-23T01:30:36.5524490Z 'guarded_class': 2022-11-23T01:30:36.5524554Z } 2022-11-23T01:30:36.5524617Z 2022-11-23T01:30:36.5524684Z - 2022-11-23T01:30:36.5525018Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5525070Z { 2022-11-23T01:30:36.5525215Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5525368Z 'code': None, 2022-11-23T01:30:36.5525655Z 'obj_weakref': 2022-11-23T01:30:36.5525910Z 'guarded_class': 2022-11-23T01:30:36.5525972Z } 2022-11-23T01:30:36.5526035Z 2022-11-23T01:30:36.5526094Z - 2022-11-23T01:30:36.5526216Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5526277Z { 2022-11-23T01:30:36.5526417Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5526521Z 'code': None, 2022-11-23T01:30:36.5526731Z 'obj_weakref': 2022-11-23T01:30:36.5526981Z 'guarded_class': 2022-11-23T01:30:36.5527043Z } 2022-11-23T01:30:36.5527161Z 2022-11-23T01:30:36.5527233Z - 2022-11-23T01:30:36.5527362Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5527425Z { 2022-11-23T01:30:36.5527559Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5527728Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5527834Z 'obj_weakref': None 2022-11-23T01:30:36.5528063Z 'guarded_class': 2022-11-23T01:30:36.5528164Z } 2022-11-23T01:30:36.5528227Z 2022-11-23T01:30:36.5528296Z - 2022-11-23T01:30:36.5528415Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5528479Z { 2022-11-23T01:30:36.5528601Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5528814Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5528932Z 'obj_weakref': None 2022-11-23T01:30:36.5529155Z 'guarded_class': 2022-11-23T01:30:36.5529217Z } 2022-11-23T01:30:36.5529279Z 2022-11-23T01:30:36.5529346Z - 2022-11-23T01:30:36.5529511Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5529575Z { 2022-11-23T01:30:36.5529741Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5530585Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'], 2022-11-23T01:30:36.5530704Z 'obj_weakref': None 2022-11-23T01:30:36.5530922Z 'guarded_class': 2022-11-23T01:30:36.5530985Z } 2022-11-23T01:30:36.5531048Z 2022-11-23T01:30:36.5531117Z - 2022-11-23T01:30:36.5531288Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5531353Z { 2022-11-23T01:30:36.5531497Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5531779Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5531897Z 'obj_weakref': None 2022-11-23T01:30:36.5532116Z 'guarded_class': 2022-11-23T01:30:36.5532179Z } 2022-11-23T01:30:36.5532243Z 2022-11-23T01:30:36.5532298Z - 2022-11-23T01:30:36.5532479Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5532541Z { 2022-11-23T01:30:36.5532682Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5532959Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 1'], 2022-11-23T01:30:36.5533078Z 'obj_weakref': None 2022-11-23T01:30:36.5533296Z 'guarded_class': 2022-11-23T01:30:36.5533347Z } 2022-11-23T01:30:36.5533410Z 2022-11-23T01:30:36.5533480Z - 2022-11-23T01:30:36.5533661Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5533724Z { 2022-11-23T01:30:36.5533863Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5534173Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 10'], 2022-11-23T01:30:36.5534280Z 'obj_weakref': None 2022-11-23T01:30:36.5534500Z 'guarded_class': 2022-11-23T01:30:36.5534563Z } 2022-11-23T01:30:36.5534625Z 2022-11-23T01:30:36.5534724Z - 2022-11-23T01:30:36.5534907Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5534970Z { 2022-11-23T01:30:36.5535097Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5535376Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 1'], 2022-11-23T01:30:36.5535494Z 'obj_weakref': None 2022-11-23T01:30:36.5535715Z 'guarded_class': 2022-11-23T01:30:36.5535777Z } 2022-11-23T01:30:36.5535838Z 2022-11-23T01:30:36.5535905Z - 2022-11-23T01:30:36.5536076Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:30:36.5536138Z { 2022-11-23T01:30:36.5536279Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5536561Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents[4] == 10'], 2022-11-23T01:30:36.5536681Z 'obj_weakref': None 2022-11-23T01:30:36.5536898Z 'guarded_class': 2022-11-23T01:30:36.5536961Z } 2022-11-23T01:30:36.5537024Z 2022-11-23T01:30:36.5537272Z [2022-11-23 01:29:06,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439 2022-11-23T01:30:36.5537278Z 2022-11-23T01:30:36.5537373Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5537442Z import torch 2022-11-23T01:30:36.5537510Z import random 2022-11-23T01:30:36.5537624Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5537745Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5537750Z 2022-11-23T01:30:36.5537827Z aten = torch.ops.aten 2022-11-23T01:30:36.5537948Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5538041Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5538046Z 2022-11-23T01:30:36.5538050Z 2022-11-23T01:30:36.5538182Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5538389Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5538505Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5538607Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5538705Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5538767Z { 2022-11-23T01:30:36.5538854Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5538914Z { 2022-11-23T01:30:36.5538993Z #pragma omp for 2022-11-23T01:30:36.5539074Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5539135Z { 2022-11-23T01:30:36.5539283Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5539413Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5539488Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5539578Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5539640Z } 2022-11-23T01:30:36.5539732Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5539815Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5539878Z { 2022-11-23T01:30:36.5539960Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5540028Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5540138Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5540219Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5540279Z } 2022-11-23T01:30:36.5540383Z } 2022-11-23T01:30:36.5540441Z } 2022-11-23T01:30:36.5540519Z ''') 2022-11-23T01:30:36.5540524Z 2022-11-23T01:30:36.5540528Z 2022-11-23T01:30:36.5540603Z async_compile.wait(globals()) 2022-11-23T01:30:36.5540675Z del async_compile 2022-11-23T01:30:36.5540680Z 2022-11-23T01:30:36.5540780Z def call(args): 2022-11-23T01:30:36.5540854Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5540923Z args.clear() 2022-11-23T01:30:36.5541122Z buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5541284Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5541350Z del arg0_1 2022-11-23T01:30:36.5541403Z del arg1_1 2022-11-23T01:30:36.5541472Z return (buf0, ) 2022-11-23T01:30:36.5541477Z 2022-11-23T01:30:36.5541481Z 2022-11-23T01:30:36.5541558Z if __name__ == "__main__": 2022-11-23T01:30:36.5541672Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5541793Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5542002Z arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5542198Z arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5542303Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5542319Z 2022-11-23T01:30:36.5542323Z 2022-11-23T01:30:36.5542403Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5542470Z import torch 2022-11-23T01:30:36.5542542Z import random 2022-11-23T01:30:36.5542655Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5542774Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5542779Z 2022-11-23T01:30:36.5542854Z aten = torch.ops.aten 2022-11-23T01:30:36.5542988Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5543065Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5543082Z 2022-11-23T01:30:36.5543087Z 2022-11-23T01:30:36.5543206Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5543409Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5543527Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5543632Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5543729Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5543789Z { 2022-11-23T01:30:36.5543884Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5543933Z { 2022-11-23T01:30:36.5544008Z #pragma omp for 2022-11-23T01:30:36.5544089Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5544153Z { 2022-11-23T01:30:36.5544285Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5544416Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5544545Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5544632Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5544701Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5544791Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5544852Z } 2022-11-23T01:30:36.5544947Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5545031Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5545097Z { 2022-11-23T01:30:36.5545168Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5545247Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5545347Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5545431Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5545510Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5545587Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5545679Z } 2022-11-23T01:30:36.5545729Z } 2022-11-23T01:30:36.5545787Z } 2022-11-23T01:30:36.5545866Z ''') 2022-11-23T01:30:36.5545871Z 2022-11-23T01:30:36.5545875Z 2022-11-23T01:30:36.5545963Z async_compile.wait(globals()) 2022-11-23T01:30:36.5546034Z del async_compile 2022-11-23T01:30:36.5546039Z 2022-11-23T01:30:36.5546108Z def call(args): 2022-11-23T01:30:36.5546180Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5546238Z args.clear() 2022-11-23T01:30:36.5546470Z buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5546631Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5546698Z del arg0_1 2022-11-23T01:30:36.5546763Z del arg1_1 2022-11-23T01:30:36.5546833Z return (buf0, ) 2022-11-23T01:30:36.5546837Z 2022-11-23T01:30:36.5546841Z 2022-11-23T01:30:36.5546915Z if __name__ == "__main__": 2022-11-23T01:30:36.5547030Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5547139Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5547347Z arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5547544Z arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5547656Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5547661Z 2022-11-23T01:30:36.5547667Z 2022-11-23T01:30:36.5547760Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5547827Z import torch 2022-11-23T01:30:36.5547895Z import random 2022-11-23T01:30:36.5548007Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5548114Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5548118Z 2022-11-23T01:30:36.5548194Z aten = torch.ops.aten 2022-11-23T01:30:36.5548328Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5548419Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5548426Z 2022-11-23T01:30:36.5548430Z 2022-11-23T01:30:36.5548561Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5548764Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5548882Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5548984Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5549071Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5549135Z { 2022-11-23T01:30:36.5549232Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5549293Z { 2022-11-23T01:30:36.5549366Z #pragma omp for 2022-11-23T01:30:36.5549446Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.5549508Z { 2022-11-23T01:30:36.5549626Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5549754Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5549843Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5549935Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5549996Z } 2022-11-23T01:30:36.5550088Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5550168Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.5550217Z { 2022-11-23T01:30:36.5550297Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5550379Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5550461Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5550539Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5550601Z } 2022-11-23T01:30:36.5550662Z } 2022-11-23T01:30:36.5550708Z } 2022-11-23T01:30:36.5550784Z ''') 2022-11-23T01:30:36.5550789Z 2022-11-23T01:30:36.5550793Z 2022-11-23T01:30:36.5550878Z async_compile.wait(globals()) 2022-11-23T01:30:36.5550949Z del async_compile 2022-11-23T01:30:36.5550954Z 2022-11-23T01:30:36.5551022Z def call(args): 2022-11-23T01:30:36.5551095Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5551192Z args.clear() 2022-11-23T01:30:36.5551383Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5551543Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5551610Z del arg0_1 2022-11-23T01:30:36.5551676Z del arg1_1 2022-11-23T01:30:36.5551745Z return (buf0, ) 2022-11-23T01:30:36.5551749Z 2022-11-23T01:30:36.5551780Z 2022-11-23T01:30:36.5551855Z if __name__ == "__main__": 2022-11-23T01:30:36.5551967Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5552088Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5552269Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5552470Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5552586Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5552590Z 2022-11-23T01:30:36.5552597Z 2022-11-23T01:30:36.5552693Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5552760Z import torch 2022-11-23T01:30:36.5552841Z import random 2022-11-23T01:30:36.5552954Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5553074Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5553078Z 2022-11-23T01:30:36.5553142Z aten = torch.ops.aten 2022-11-23T01:30:36.5553275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5553366Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5553370Z 2022-11-23T01:30:36.5553374Z 2022-11-23T01:30:36.5553505Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5553708Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5553825Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5553926Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5554025Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5554073Z { 2022-11-23T01:30:36.5554169Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5554228Z { 2022-11-23T01:30:36.5554302Z #pragma omp for 2022-11-23T01:30:36.5554382Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.5554442Z { 2022-11-23T01:30:36.5554572Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5554693Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5554820Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5554905Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5554985Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5555073Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5555134Z } 2022-11-23T01:30:36.5555227Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5555297Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.5555357Z { 2022-11-23T01:30:36.5555442Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5555521Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5555618Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5555698Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5555778Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5555844Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5555906Z } 2022-11-23T01:30:36.5555969Z } 2022-11-23T01:30:36.5556027Z } 2022-11-23T01:30:36.5556104Z ''') 2022-11-23T01:30:36.5556109Z 2022-11-23T01:30:36.5556113Z 2022-11-23T01:30:36.5556199Z async_compile.wait(globals()) 2022-11-23T01:30:36.5556269Z del async_compile 2022-11-23T01:30:36.5556274Z 2022-11-23T01:30:36.5556331Z def call(args): 2022-11-23T01:30:36.5556404Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5556476Z args.clear() 2022-11-23T01:30:36.5556728Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5556889Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5556956Z del arg0_1 2022-11-23T01:30:36.5557023Z del arg1_1 2022-11-23T01:30:36.5557081Z return (buf0, ) 2022-11-23T01:30:36.5557097Z 2022-11-23T01:30:36.5557101Z 2022-11-23T01:30:36.5557163Z if __name__ == "__main__": 2022-11-23T01:30:36.5557305Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5557426Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5557619Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5557819Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5557932Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5557936Z 2022-11-23T01:30:36.5558303Z [2022-11-23 01:29:06,294] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37lukpza6gtvxl3q4oiwu3rv2lwo2p7a3vp26w3ktoqahluv4c2.py 2022-11-23T01:30:36.5558572Z [2022-11-23 01:29:06,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439 2022-11-23T01:30:36.5558799Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5559112Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5559331Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5559583Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5559859Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5560263Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5560610Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5560931Z [2022-11-23 01:29:06,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5561313Z [2022-11-23 01:29:06,299] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5561406Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5561483Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5561557Z 4 BINARY_ADD 2022-11-23T01:30:36.5561651Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5561745Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5561832Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5561921Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5561995Z 14 BINARY_ADD 2022-11-23T01:30:36.5562070Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5562146Z 18 RETURN_VALUE 2022-11-23T01:30:36.5562207Z 2022-11-23T01:30:36.5562213Z 2022-11-23T01:30:36.5562525Z [2022-11-23 01:29:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5562734Z [2022-11-23 01:29:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5562973Z [2022-11-23 01:29:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5563296Z [2022-11-23 01:29:06,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5563538Z [2022-11-23 01:29:06,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5563815Z [2022-11-23 01:29:06,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5564104Z [2022-11-23 01:29:06,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5564366Z [2022-11-23 01:29:06,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5564635Z [2022-11-23 01:29:06,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5565098Z [2022-11-23 01:29:06,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5565345Z [2022-11-23 01:29:06,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5565723Z [2022-11-23 01:29:06,302] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5565967Z [2022-11-23 01:29:06,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5566202Z [2022-11-23 01:29:06,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5566457Z [2022-11-23 01:29:06,303] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5566705Z [2022-11-23 01:29:06,307] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5566879Z [2022-11-23 01:29:06,307] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5567011Z __compiled_fn_448 .3507 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5567102Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5567189Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5567362Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5567466Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {} 2022-11-23T01:30:36.5567645Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5567727Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5567747Z 2022-11-23T01:30:36.5568058Z [2022-11-23 01:29:06,308] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5568150Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5568239Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5568325Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5568414Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5568499Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5568586Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5568649Z 12 RETURN_VALUE 2022-11-23T01:30:36.5568654Z 2022-11-23T01:30:36.5568713Z 2022-11-23T01:30:36.5569035Z [2022-11-23 01:29:06,308] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5569141Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_448) 2022-11-23T01:30:36.5569231Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5569318Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5569393Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5569479Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5569552Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5569626Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5569711Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5569869Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5570000Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5570096Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5570182Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5570264Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5570364Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5570486Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5570561Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5570648Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5570739Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5570835Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5570910Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5570984Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5571086Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5571174Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5571268Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5571354Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5571435Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5571534Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5571598Z 54 RETURN_VALUE 2022-11-23T01:30:36.5571603Z 2022-11-23T01:30:36.5571662Z 2022-11-23T01:30:36.5571845Z [2022-11-23 01:29:06,309] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5571914Z - 2022-11-23T01:30:36.5572031Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5572093Z { 2022-11-23T01:30:36.5572231Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5572405Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5572525Z 'obj_weakref': None 2022-11-23T01:30:36.5572748Z 'guarded_class': 2022-11-23T01:30:36.5572812Z } 2022-11-23T01:30:36.5572873Z 2022-11-23T01:30:36.5572940Z - 2022-11-23T01:30:36.5573062Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5573113Z { 2022-11-23T01:30:36.5573253Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5573362Z 'code': None, 2022-11-23T01:30:36.5573573Z 'obj_weakref': 2022-11-23T01:30:36.5573824Z 'guarded_class': 2022-11-23T01:30:36.5573886Z } 2022-11-23T01:30:36.5573947Z 2022-11-23T01:30:36.5574002Z - 2022-11-23T01:30:36.5574123Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5574185Z { 2022-11-23T01:30:36.5574327Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5574431Z 'code': None, 2022-11-23T01:30:36.5574641Z 'obj_weakref': 2022-11-23T01:30:36.5574890Z 'guarded_class': 2022-11-23T01:30:36.5574943Z } 2022-11-23T01:30:36.5575008Z 2022-11-23T01:30:36.5575079Z - 2022-11-23T01:30:36.5575208Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5575270Z { 2022-11-23T01:30:36.5575402Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5575570Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5575718Z 'obj_weakref': None 2022-11-23T01:30:36.5575947Z 'guarded_class': 2022-11-23T01:30:36.5576009Z } 2022-11-23T01:30:36.5576106Z 2022-11-23T01:30:36.5576175Z - 2022-11-23T01:30:36.5576295Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5576357Z { 2022-11-23T01:30:36.5576478Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5576692Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5576808Z 'obj_weakref': None 2022-11-23T01:30:36.5577088Z 'guarded_class': 2022-11-23T01:30:36.5577151Z } 2022-11-23T01:30:36.5577213Z 2022-11-23T01:30:36.5577279Z - 2022-11-23T01:30:36.5577443Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5577506Z { 2022-11-23T01:30:36.5577669Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5578506Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'], 2022-11-23T01:30:36.5578629Z 'obj_weakref': None 2022-11-23T01:30:36.5578848Z 'guarded_class': 2022-11-23T01:30:36.5578911Z } 2022-11-23T01:30:36.5578974Z 2022-11-23T01:30:36.5579028Z - 2022-11-23T01:30:36.5579212Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5579276Z { 2022-11-23T01:30:36.5579421Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5579701Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5579818Z 'obj_weakref': None 2022-11-23T01:30:36.5580036Z 'guarded_class': 2022-11-23T01:30:36.5580097Z } 2022-11-23T01:30:36.5580150Z 2022-11-23T01:30:36.5580216Z - 2022-11-23T01:30:36.5580400Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5580461Z { 2022-11-23T01:30:36.5580602Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5580882Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 1'], 2022-11-23T01:30:36.5581000Z 'obj_weakref': None 2022-11-23T01:30:36.5581210Z 'guarded_class': 2022-11-23T01:30:36.5581273Z } 2022-11-23T01:30:36.5581334Z 2022-11-23T01:30:36.5581402Z - 2022-11-23T01:30:36.5581582Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5581645Z { 2022-11-23T01:30:36.5581787Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5582059Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 10'], 2022-11-23T01:30:36.5582176Z 'obj_weakref': None 2022-11-23T01:30:36.5582394Z 'guarded_class': 2022-11-23T01:30:36.5582456Z } 2022-11-23T01:30:36.5582518Z 2022-11-23T01:30:36.5582585Z - 2022-11-23T01:30:36.5582768Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5582848Z { 2022-11-23T01:30:36.5582990Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5583270Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 1'], 2022-11-23T01:30:36.5583386Z 'obj_weakref': None 2022-11-23T01:30:36.5583605Z 'guarded_class': 2022-11-23T01:30:36.5583697Z } 2022-11-23T01:30:36.5583759Z 2022-11-23T01:30:36.5583827Z - 2022-11-23T01:30:36.5583997Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:30:36.5584059Z { 2022-11-23T01:30:36.5584200Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5584477Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94427249894784)', 'model.__closure__[0].cell_contents[4] == 10'], 2022-11-23T01:30:36.5584596Z 'obj_weakref': None 2022-11-23T01:30:36.5584814Z 'guarded_class': 2022-11-23T01:30:36.5584876Z } 2022-11-23T01:30:36.5584927Z 2022-11-23T01:30:36.5585186Z [2022-11-23 01:29:06,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440 2022-11-23T01:30:36.5585555Z [2022-11-23 01:29:06,325] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ge/cgen3d3k24igeavwyp6uayqn5bgttkq6qzltljde5c5alkb72nyj.py 2022-11-23T01:30:36.5585819Z [2022-11-23 01:29:06,326] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440 2022-11-23T01:30:36.5586054Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5586370Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5586587Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5586838Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5587113Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5587416Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5587763Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5588082Z [2022-11-23 01:29:06,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5588463Z [2022-11-23 01:29:06,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5588554Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5588650Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5588742Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5588827Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5588918Z 8 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5588979Z 10 BINARY_ADD 2022-11-23T01:30:36.5589064Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5589139Z 14 RETURN_VALUE 2022-11-23T01:30:36.5589198Z 2022-11-23T01:30:36.5589204Z 2022-11-23T01:30:36.5589516Z [2022-11-23 01:29:06,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940 2022-11-23T01:30:36.5589752Z [2022-11-23 01:29:06,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5589994Z [2022-11-23 01:29:06,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5590273Z [2022-11-23 01:29:06,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5590575Z [2022-11-23 01:29:06,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5590828Z [2022-11-23 01:29:06,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5591098Z [2022-11-23 01:29:06,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5591336Z [2022-11-23 01:29:06,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5591581Z [2022-11-23 01:29:06,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5591961Z [2022-11-23 01:29:06,332] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5592204Z [2022-11-23 01:29:06,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5592438Z [2022-11-23 01:29:06,332] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5592689Z [2022-11-23 01:29:06,333] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5592936Z [2022-11-23 01:29:06,336] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5593110Z [2022-11-23 01:29:06,336] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5593244Z __compiled_fn_449 .3513 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5593334Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5593422Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5593520Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {} 2022-11-23T01:30:36.5593696Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:30:36.5593789Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5593794Z 2022-11-23T01:30:36.5594120Z [2022-11-23 01:29:06,337] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5594199Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5594287Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5594374Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5594466Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5594548Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5594638Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5594713Z 12 RETURN_VALUE 2022-11-23T01:30:36.5594718Z 2022-11-23T01:30:36.5594777Z 2022-11-23T01:30:36.5595083Z [2022-11-23 01:29:06,337] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5595190Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_449) 2022-11-23T01:30:36.5595281Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5595369Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5595444Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5595533Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5595618Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5595680Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5595765Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5595903Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5596033Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5596128Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5596214Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5596310Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5596398Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5596515Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5596589Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5596676Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5596767Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5596864Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5596950Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5597024Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5597113Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5597202Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5597298Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5597384Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5597458Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5597555Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5597627Z 54 RETURN_VALUE 2022-11-23T01:30:36.5597634Z 2022-11-23T01:30:36.5597682Z 2022-11-23T01:30:36.5597864Z [2022-11-23 01:29:06,338] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5597932Z - 2022-11-23T01:30:36.5598049Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5598113Z { 2022-11-23T01:30:36.5598251Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5598435Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5598539Z 'obj_weakref': None 2022-11-23T01:30:36.5598764Z 'guarded_class': 2022-11-23T01:30:36.5598829Z } 2022-11-23T01:30:36.5598891Z 2022-11-23T01:30:36.5598959Z - 2022-11-23T01:30:36.5599080Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5599143Z { 2022-11-23T01:30:36.5599270Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5599377Z 'code': None, 2022-11-23T01:30:36.5599589Z 'obj_weakref': 2022-11-23T01:30:36.5599840Z 'guarded_class': 2022-11-23T01:30:36.5599904Z } 2022-11-23T01:30:36.5599968Z 2022-11-23T01:30:36.5600116Z - 2022-11-23T01:30:36.5600227Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5600297Z { 2022-11-23T01:30:36.5600441Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5600550Z 'code': None, 2022-11-23T01:30:36.5600763Z 'obj_weakref': 2022-11-23T01:30:36.5601011Z 'guarded_class': 2022-11-23T01:30:36.5601061Z } 2022-11-23T01:30:36.5601125Z 2022-11-23T01:30:36.5601195Z - 2022-11-23T01:30:36.5601326Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5601389Z { 2022-11-23T01:30:36.5601522Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5601690Z 'code': ['___check_obj_id(model, 140534418258336)'], 2022-11-23T01:30:36.5601796Z 'obj_weakref': None 2022-11-23T01:30:36.5602025Z 'guarded_class': 2022-11-23T01:30:36.5602089Z } 2022-11-23T01:30:36.5602207Z 2022-11-23T01:30:36.5602276Z - 2022-11-23T01:30:36.5602396Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5602446Z { 2022-11-23T01:30:36.5602581Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5602797Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5602913Z 'obj_weakref': None 2022-11-23T01:30:36.5603167Z 'guarded_class': 2022-11-23T01:30:36.5603230Z } 2022-11-23T01:30:36.5603291Z 2022-11-23T01:30:36.5603358Z - 2022-11-23T01:30:36.5603522Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5603586Z { 2022-11-23T01:30:36.5603753Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5604499Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'], 2022-11-23T01:30:36.5604619Z 'obj_weakref': None 2022-11-23T01:30:36.5604958Z 'guarded_class': 2022-11-23T01:30:36.5605022Z } 2022-11-23T01:30:36.5605086Z 2022-11-23T01:30:36.5605143Z - 2022-11-23T01:30:36.5605326Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5605389Z { 2022-11-23T01:30:36.5605532Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5605817Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:30:36.5605936Z 'obj_weakref': None 2022-11-23T01:30:36.5606156Z 'guarded_class': 2022-11-23T01:30:36.5606219Z } 2022-11-23T01:30:36.5606270Z 2022-11-23T01:30:36.5606338Z - 2022-11-23T01:30:36.5606522Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5606589Z { 2022-11-23T01:30:36.5606732Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5607012Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 2'], 2022-11-23T01:30:36.5607129Z 'obj_weakref': None 2022-11-23T01:30:36.5607333Z 'guarded_class': 2022-11-23T01:30:36.5607399Z } 2022-11-23T01:30:36.5607461Z 2022-11-23T01:30:36.5607529Z - 2022-11-23T01:30:36.5607712Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5607774Z { 2022-11-23T01:30:36.5607914Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5608178Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 2'], 2022-11-23T01:30:36.5608297Z 'obj_weakref': None 2022-11-23T01:30:36.5608513Z 'guarded_class': 2022-11-23T01:30:36.5608577Z } 2022-11-23T01:30:36.5608639Z 2022-11-23T01:30:36.5608706Z - 2022-11-23T01:30:36.5608890Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5608939Z { 2022-11-23T01:30:36.5609079Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5609414Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 2'], 2022-11-23T01:30:36.5609533Z 'obj_weakref': None 2022-11-23T01:30:36.5609755Z 'guarded_class': 2022-11-23T01:30:36.5609818Z } 2022-11-23T01:30:36.5609880Z 2022-11-23T01:30:36.5610183Z [2022-11-23 01:29:06,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441 2022-11-23T01:30:36.5610533Z [2022-11-23 01:29:06,354] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7f/c7fhbf747bstrtmd7arjo2ybahgm4k5iqqh472pxk2g5244nrcq6.py 2022-11-23T01:30:36.5610803Z [2022-11-23 01:29:06,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441 2022-11-23T01:30:36.5611043Z [2022-11-23 01:29:06,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5611355Z [2022-11-23 01:29:06,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5611572Z [2022-11-23 01:29:06,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5611824Z [2022-11-23 01:29:06,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5612102Z [2022-11-23 01:29:06,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5612420Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5612764Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5613087Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5613453Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5613545Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5613638Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5613712Z 4 BINARY_ADD 2022-11-23T01:30:36.5613805Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5613900Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5613985Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5614062Z 12 LOAD_FAST 1 (y) 2022-11-23T01:30:36.5614135Z 14 BINARY_ADD 2022-11-23T01:30:36.5614222Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5614299Z 18 RETURN_VALUE 2022-11-23T01:30:36.5614361Z 2022-11-23T01:30:36.5614367Z 2022-11-23T01:30:36.5614680Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943 2022-11-23T01:30:36.5614890Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5615127Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5615410Z [2022-11-23 01:29:06,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5615636Z [2022-11-23 01:29:06,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5615916Z [2022-11-23 01:29:06,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5616249Z [2022-11-23 01:29:06,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5616489Z [2022-11-23 01:29:06,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:30:36.5616760Z [2022-11-23 01:29:06,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5617032Z [2022-11-23 01:29:06,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5617275Z [2022-11-23 01:29:06,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5617650Z [2022-11-23 01:29:06,361] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5617898Z [2022-11-23 01:29:06,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5618119Z [2022-11-23 01:29:06,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5618372Z [2022-11-23 01:29:06,363] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5618623Z [2022-11-23 01:29:06,366] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5618811Z [2022-11-23 01:29:06,366] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5618945Z __compiled_fn_450 .3519 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5619035Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5619121Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5619295Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5619383Z call_method, view, view, (add, [2, 2, 2, 2]), {} 2022-11-23T01:30:36.5619562Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:30:36.5619659Z output, output, output, ((add_1,),), {} 2022-11-23T01:30:36.5619664Z 2022-11-23T01:30:36.5619991Z [2022-11-23 01:29:06,367] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5620086Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5620175Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5620264Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5620356Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5620426Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5620515Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5620593Z 12 RETURN_VALUE 2022-11-23T01:30:36.5620597Z 2022-11-23T01:30:36.5620659Z 2022-11-23T01:30:36.5620983Z [2022-11-23 01:29:06,367] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5621091Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_450) 2022-11-23T01:30:36.5621181Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5621271Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5621334Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5621424Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5621514Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5621589Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5621676Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5621779Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5621908Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5621991Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5622081Z 22 CALL_FUNCTION 0 2022-11-23T01:30:36.5622207Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5622310Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5622399Z 28 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5622474Z 30 BINARY_SUBSCR 2022-11-23T01:30:36.5622561Z 32 BUILD_TUPLE 1 2022-11-23T01:30:36.5622640Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5622784Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5622871Z 38 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5622948Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5623051Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5623142Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5623239Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5623324Z 48 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5623389Z 50 BINARY_SUBSCR 2022-11-23T01:30:36.5623488Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5623563Z 54 RETURN_VALUE 2022-11-23T01:30:36.5623568Z 2022-11-23T01:30:36.5623629Z 2022-11-23T01:30:36.5623812Z [2022-11-23 01:29:06,368] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5623882Z - 2022-11-23T01:30:36.5624000Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5624052Z { 2022-11-23T01:30:36.5624195Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5624381Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5624499Z 'obj_weakref': None 2022-11-23T01:30:36.5624723Z 'guarded_class': 2022-11-23T01:30:36.5624788Z } 2022-11-23T01:30:36.5624852Z 2022-11-23T01:30:36.5624907Z - 2022-11-23T01:30:36.5625052Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5625118Z { 2022-11-23T01:30:36.5625261Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5625367Z 'code': None, 2022-11-23T01:30:36.5625579Z 'obj_weakref': 2022-11-23T01:30:36.5625830Z 'guarded_class': 2022-11-23T01:30:36.5625884Z } 2022-11-23T01:30:36.5625948Z 2022-11-23T01:30:36.5626017Z - 2022-11-23T01:30:36.5626139Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5626202Z { 2022-11-23T01:30:36.5626343Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5626448Z 'code': None, 2022-11-23T01:30:36.5626645Z 'obj_weakref': 2022-11-23T01:30:36.5626898Z 'guarded_class': 2022-11-23T01:30:36.5626961Z } 2022-11-23T01:30:36.5627023Z 2022-11-23T01:30:36.5627091Z - 2022-11-23T01:30:36.5627219Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5627281Z { 2022-11-23T01:30:36.5627401Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5627566Z 'code': ['___check_obj_id(model, 140534418253152)'], 2022-11-23T01:30:36.5627687Z 'obj_weakref': None 2022-11-23T01:30:36.5627917Z 'guarded_class': 2022-11-23T01:30:36.5627979Z } 2022-11-23T01:30:36.5628041Z 2022-11-23T01:30:36.5628108Z - 2022-11-23T01:30:36.5628216Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5628278Z { 2022-11-23T01:30:36.5628414Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5628665Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5628785Z 'obj_weakref': None 2022-11-23T01:30:36.5629005Z 'guarded_class': 2022-11-23T01:30:36.5629069Z } 2022-11-23T01:30:36.5629120Z 2022-11-23T01:30:36.5629188Z - 2022-11-23T01:30:36.5629365Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5629460Z { 2022-11-23T01:30:36.5629626Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5630367Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'], 2022-11-23T01:30:36.5630485Z 'obj_weakref': None 2022-11-23T01:30:36.5630706Z 'guarded_class': 2022-11-23T01:30:36.5630768Z } 2022-11-23T01:30:36.5630818Z 2022-11-23T01:30:36.5630886Z - 2022-11-23T01:30:36.5631067Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5631133Z { 2022-11-23T01:30:36.5631274Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5631553Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:30:36.5631670Z 'obj_weakref': None 2022-11-23T01:30:36.5631877Z 'guarded_class': 2022-11-23T01:30:36.5631941Z } 2022-11-23T01:30:36.5632005Z 2022-11-23T01:30:36.5632072Z - 2022-11-23T01:30:36.5632257Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5632319Z { 2022-11-23T01:30:36.5632459Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5632726Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 2'], 2022-11-23T01:30:36.5632846Z 'obj_weakref': None 2022-11-23T01:30:36.5633066Z 'guarded_class': 2022-11-23T01:30:36.5633128Z } 2022-11-23T01:30:36.5633190Z 2022-11-23T01:30:36.5633258Z - 2022-11-23T01:30:36.5633441Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5633491Z { 2022-11-23T01:30:36.5633631Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5633909Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 2'], 2022-11-23T01:30:36.5634025Z 'obj_weakref': None 2022-11-23T01:30:36.5634243Z 'guarded_class': 2022-11-23T01:30:36.5634305Z } 2022-11-23T01:30:36.5634367Z 2022-11-23T01:30:36.5634425Z - 2022-11-23T01:30:36.5634608Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:30:36.5634669Z { 2022-11-23T01:30:36.5634811Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5635089Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94427249894784)', 'model.__closure__[0].cell_contents[3] == 2'], 2022-11-23T01:30:36.5635205Z 'obj_weakref': None 2022-11-23T01:30:36.5635457Z 'guarded_class': 2022-11-23T01:30:36.5635522Z } 2022-11-23T01:30:36.5635573Z 2022-11-23T01:30:36.5635832Z [2022-11-23 01:29:06,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442 2022-11-23T01:30:36.5636207Z [2022-11-23 01:29:06,385] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebyi4py5sxljxqddtdqmenmzah6xmqdxlbbbvz6jpqc5babmgtf.py 2022-11-23T01:30:36.5636501Z [2022-11-23 01:29:06,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442 2022-11-23T01:30:36.5636507Z 2022-11-23T01:30:36.5636600Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5636670Z import torch 2022-11-23T01:30:36.5636738Z import random 2022-11-23T01:30:36.5636851Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5636960Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5636966Z 2022-11-23T01:30:36.5637046Z aten = torch.ops.aten 2022-11-23T01:30:36.5637183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5637278Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5637282Z 2022-11-23T01:30:36.5637286Z 2022-11-23T01:30:36.5637420Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5637623Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5637741Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5637847Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5637933Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5637993Z { 2022-11-23T01:30:36.5638091Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5638152Z { 2022-11-23T01:30:36.5638229Z #pragma omp for 2022-11-23T01:30:36.5638309Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5638371Z { 2022-11-23T01:30:36.5638506Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5638635Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5638719Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5638812Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5638875Z } 2022-11-23T01:30:36.5638968Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5639054Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5639106Z { 2022-11-23T01:30:36.5639188Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5639268Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5639350Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5639429Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5639490Z } 2022-11-23T01:30:36.5639549Z } 2022-11-23T01:30:36.5639596Z } 2022-11-23T01:30:36.5639673Z ''') 2022-11-23T01:30:36.5639678Z 2022-11-23T01:30:36.5639682Z 2022-11-23T01:30:36.5639770Z async_compile.wait(globals()) 2022-11-23T01:30:36.5639847Z del async_compile 2022-11-23T01:30:36.5639852Z 2022-11-23T01:30:36.5639921Z def call(args): 2022-11-23T01:30:36.5640096Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5640172Z args.clear() 2022-11-23T01:30:36.5640394Z buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5640556Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5640627Z del arg0_1 2022-11-23T01:30:36.5640692Z del arg1_1 2022-11-23T01:30:36.5640763Z return (buf0, ) 2022-11-23T01:30:36.5640768Z 2022-11-23T01:30:36.5640772Z 2022-11-23T01:30:36.5640848Z if __name__ == "__main__": 2022-11-23T01:30:36.5640963Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5641085Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5641274Z arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5641533Z arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5641648Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5641653Z 2022-11-23T01:30:36.5641658Z 2022-11-23T01:30:36.5641752Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5641823Z import torch 2022-11-23T01:30:36.5641893Z import random 2022-11-23T01:30:36.5642007Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5642156Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5642161Z 2022-11-23T01:30:36.5642226Z aten = torch.ops.aten 2022-11-23T01:30:36.5642356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5642450Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5642454Z 2022-11-23T01:30:36.5642459Z 2022-11-23T01:30:36.5642590Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5642796Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5642914Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5643017Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5643115Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5643163Z { 2022-11-23T01:30:36.5643259Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5643320Z { 2022-11-23T01:30:36.5643398Z #pragma omp for 2022-11-23T01:30:36.5643480Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5643543Z { 2022-11-23T01:30:36.5643677Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5643794Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5643920Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5644005Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5644087Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5644181Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5644243Z } 2022-11-23T01:30:36.5644337Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5644408Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5644471Z { 2022-11-23T01:30:36.5644553Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5644635Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5644853Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5644938Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5645020Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5645086Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5645147Z } 2022-11-23T01:30:36.5645207Z } 2022-11-23T01:30:36.5645267Z } 2022-11-23T01:30:36.5645347Z ''') 2022-11-23T01:30:36.5645352Z 2022-11-23T01:30:36.5645356Z 2022-11-23T01:30:36.5645443Z async_compile.wait(globals()) 2022-11-23T01:30:36.5645516Z del async_compile 2022-11-23T01:30:36.5645521Z 2022-11-23T01:30:36.5645581Z def call(args): 2022-11-23T01:30:36.5645656Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5645727Z args.clear() 2022-11-23T01:30:36.5645959Z buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5646122Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5646193Z del arg0_1 2022-11-23T01:30:36.5646259Z del arg1_1 2022-11-23T01:30:36.5646318Z return (buf0, ) 2022-11-23T01:30:36.5646336Z 2022-11-23T01:30:36.5646340Z 2022-11-23T01:30:36.5646402Z if __name__ == "__main__": 2022-11-23T01:30:36.5646515Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5646638Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5646838Z arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5647129Z arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5647245Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5647250Z 2022-11-23T01:30:36.5647254Z 2022-11-23T01:30:36.5647345Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5647414Z import torch 2022-11-23T01:30:36.5647471Z import random 2022-11-23T01:30:36.5647585Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5647740Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5647745Z 2022-11-23T01:30:36.5647824Z aten = torch.ops.aten 2022-11-23T01:30:36.5647956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5648048Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5648053Z 2022-11-23T01:30:36.5648057Z 2022-11-23T01:30:36.5648191Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5648397Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5648506Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5648610Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5648709Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5648769Z { 2022-11-23T01:30:36.5648865Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5648926Z { 2022-11-23T01:30:36.5649000Z #pragma omp for 2022-11-23T01:30:36.5649069Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5649134Z { 2022-11-23T01:30:36.5649267Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5649397Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5649483Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5649572Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5649634Z } 2022-11-23T01:30:36.5649715Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5649800Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.5649861Z { 2022-11-23T01:30:36.5649942Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5650023Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5650105Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5650184Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5650233Z } 2022-11-23T01:30:36.5650317Z } 2022-11-23T01:30:36.5650381Z } 2022-11-23T01:30:36.5650461Z ''') 2022-11-23T01:30:36.5650466Z 2022-11-23T01:30:36.5650470Z 2022-11-23T01:30:36.5650558Z async_compile.wait(globals()) 2022-11-23T01:30:36.5650631Z del async_compile 2022-11-23T01:30:36.5650637Z 2022-11-23T01:30:36.5650706Z def call(args): 2022-11-23T01:30:36.5650768Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5650839Z args.clear() 2022-11-23T01:30:36.5651045Z buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5651211Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5651279Z del arg0_1 2022-11-23T01:30:36.5651344Z del arg1_1 2022-11-23T01:30:36.5651417Z return (buf0, ) 2022-11-23T01:30:36.5651422Z 2022-11-23T01:30:36.5651426Z 2022-11-23T01:30:36.5651501Z if __name__ == "__main__": 2022-11-23T01:30:36.5651604Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5651725Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5651922Z arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5652126Z arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5652240Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5652245Z 2022-11-23T01:30:36.5652249Z 2022-11-23T01:30:36.5652340Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5652410Z import torch 2022-11-23T01:30:36.5652479Z import random 2022-11-23T01:30:36.5652609Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5652731Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5652736Z 2022-11-23T01:30:36.5652814Z aten = torch.ops.aten 2022-11-23T01:30:36.5652948Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5653039Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5653044Z 2022-11-23T01:30:36.5653048Z 2022-11-23T01:30:36.5653179Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5653412Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5653531Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5653621Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5653720Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5653783Z { 2022-11-23T01:30:36.5653882Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5653946Z { 2022-11-23T01:30:36.5654024Z #pragma omp for 2022-11-23T01:30:36.5654108Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5654158Z { 2022-11-23T01:30:36.5654293Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5654427Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5654554Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5654640Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5654725Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5654816Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5654865Z } 2022-11-23T01:30:36.5654960Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5655044Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.5655107Z { 2022-11-23T01:30:36.5655190Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5655270Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:30:36.5655370Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5655441Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5655522Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5655602Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5655664Z } 2022-11-23T01:30:36.5655725Z } 2022-11-23T01:30:36.5655784Z } 2022-11-23T01:30:36.5655850Z ''') 2022-11-23T01:30:36.5655867Z 2022-11-23T01:30:36.5655871Z 2022-11-23T01:30:36.5655946Z async_compile.wait(globals()) 2022-11-23T01:30:36.5656022Z del async_compile 2022-11-23T01:30:36.5656027Z 2022-11-23T01:30:36.5656098Z def call(args): 2022-11-23T01:30:36.5656172Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5656243Z args.clear() 2022-11-23T01:30:36.5656450Z buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5656612Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5656667Z del arg0_1 2022-11-23T01:30:36.5656735Z del arg1_1 2022-11-23T01:30:36.5656808Z return (buf0, ) 2022-11-23T01:30:36.5656812Z 2022-11-23T01:30:36.5656816Z 2022-11-23T01:30:36.5656892Z if __name__ == "__main__": 2022-11-23T01:30:36.5657005Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5657129Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5657323Z arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5657529Z arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5657630Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5657647Z 2022-11-23T01:30:36.5657701Z ok (19.547s) 2022-11-23T01:30:36.5658007Z test_views2_cpu (__main__.CpuTests) ... [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5658354Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5658576Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5658831Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5659112Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5659462Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5659810Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5660134Z [2022-11-23 01:29:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5660500Z [2022-11-23 01:29:06,391] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5660593Z 964 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5660685Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5660780Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5660869Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5660957Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5661030Z 10 BINARY_ADD 2022-11-23T01:30:36.5661118Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5661181Z 14 RETURN_VALUE 2022-11-23T01:30:36.5661240Z 2022-11-23T01:30:36.5661246Z 2022-11-23T01:30:36.5661563Z [2022-11-23 01:29:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964 2022-11-23T01:30:36.5661776Z [2022-11-23 01:29:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5662018Z [2022-11-23 01:29:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5662299Z [2022-11-23 01:29:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5662603Z [2022-11-23 01:29:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5662844Z [2022-11-23 01:29:06,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5663122Z [2022-11-23 01:29:06,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5663348Z [2022-11-23 01:29:06,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5663594Z [2022-11-23 01:29:06,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5663971Z [2022-11-23 01:29:06,393] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5664213Z [2022-11-23 01:29:06,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5664447Z [2022-11-23 01:29:06,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5664697Z [2022-11-23 01:29:06,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5664946Z [2022-11-23 01:29:06,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5665131Z [2022-11-23 01:29:06,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5665295Z __compiled_fn_451 .3525 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5665372Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5665515Z call_method, view, view, (ex_0_, [4, -1]), {} 2022-11-23T01:30:36.5665686Z call_function, add, , (view, 1), {} 2022-11-23T01:30:36.5665781Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5665786Z 2022-11-23T01:30:36.5666111Z [2022-11-23 01:29:06,398] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5666232Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5666321Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5666406Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5666485Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5666569Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5666659Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5666734Z 12 RETURN_VALUE 2022-11-23T01:30:36.5666739Z 2022-11-23T01:30:36.5666799Z 2022-11-23T01:30:36.5667117Z [2022-11-23 01:29:06,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5667224Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_451) 2022-11-23T01:30:36.5667303Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5667390Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5667467Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5667553Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5667655Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5667782Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5667877Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5667966Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.5668049Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5668148Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5668235Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5668310Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.5668397Z 26 BUILD_TUPLE 1 2022-11-23T01:30:36.5668492Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5668588Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5668662Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5668736Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5668836Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5668925Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5669020Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5669107Z 42 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5669181Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.5669268Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5669342Z 48 RETURN_VALUE 2022-11-23T01:30:36.5669347Z 2022-11-23T01:30:36.5669407Z 2022-11-23T01:30:36.5669593Z [2022-11-23 01:29:06,399] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5669663Z - 2022-11-23T01:30:36.5669784Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5669847Z { 2022-11-23T01:30:36.5669975Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5670160Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5670278Z 'obj_weakref': None 2022-11-23T01:30:36.5670503Z 'guarded_class': 2022-11-23T01:30:36.5670567Z } 2022-11-23T01:30:36.5670630Z 2022-11-23T01:30:36.5670698Z - 2022-11-23T01:30:36.5670847Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5670913Z { 2022-11-23T01:30:36.5671058Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5671163Z 'code': None, 2022-11-23T01:30:36.5671376Z 'obj_weakref': 2022-11-23T01:30:36.5671627Z 'guarded_class': 2022-11-23T01:30:36.5671717Z } 2022-11-23T01:30:36.5671782Z 2022-11-23T01:30:36.5671839Z - 2022-11-23T01:30:36.5671972Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5672034Z { 2022-11-23T01:30:36.5672167Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5672333Z 'code': ['___check_obj_id(model, 140534431826992)'], 2022-11-23T01:30:36.5672448Z 'obj_weakref': None 2022-11-23T01:30:36.5672666Z 'guarded_class': 2022-11-23T01:30:36.5672729Z } 2022-11-23T01:30:36.5672791Z 2022-11-23T01:30:36.5672859Z - 2022-11-23T01:30:36.5672980Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5673043Z { 2022-11-23T01:30:36.5673177Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5673379Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5673499Z 'obj_weakref': None 2022-11-23T01:30:36.5673719Z 'guarded_class': 2022-11-23T01:30:36.5673782Z } 2022-11-23T01:30:36.5673848Z 2022-11-23T01:30:36.5673915Z - 2022-11-23T01:30:36.5674089Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5674139Z { 2022-11-23T01:30:36.5674308Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5674855Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [4, -1]'], 2022-11-23T01:30:36.5674974Z 'obj_weakref': None 2022-11-23T01:30:36.5675198Z 'guarded_class': 2022-11-23T01:30:36.5675263Z } 2022-11-23T01:30:36.5675326Z 2022-11-23T01:30:36.5675394Z - 2022-11-23T01:30:36.5675564Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5675627Z { 2022-11-23T01:30:36.5675767Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5676052Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:30:36.5676170Z 'obj_weakref': None 2022-11-23T01:30:36.5676392Z 'guarded_class': 2022-11-23T01:30:36.5676454Z } 2022-11-23T01:30:36.5676516Z 2022-11-23T01:30:36.5676571Z - 2022-11-23T01:30:36.5676753Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5676819Z { 2022-11-23T01:30:36.5676959Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5677241Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:30:36.5677358Z 'obj_weakref': None 2022-11-23T01:30:36.5677578Z 'guarded_class': 2022-11-23T01:30:36.5677686Z } 2022-11-23T01:30:36.5677752Z 2022-11-23T01:30:36.5678010Z [2022-11-23 01:29:06,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443 2022-11-23T01:30:36.5678380Z [2022-11-23 01:29:07,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jo/cjop4qsvscbhj2koz5eiscf6ydunxx6rslkt6c3t3et7blwsjoli.py 2022-11-23T01:30:36.5678644Z [2022-11-23 01:29:07,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443 2022-11-23T01:30:36.5678910Z [2022-11-23 01:29:07,832] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5679222Z [2022-11-23 01:29:07,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5679438Z [2022-11-23 01:29:07,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5679691Z [2022-11-23 01:29:07,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5679957Z [2022-11-23 01:29:07,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5680414Z [2022-11-23 01:29:07,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5680764Z [2022-11-23 01:29:07,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5681090Z [2022-11-23 01:29:07,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5681468Z [2022-11-23 01:29:07,834] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5681563Z 967 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5681655Z 2 LOAD_CONST 1 (2) 2022-11-23T01:30:36.5681735Z 4 BINARY_MULTIPLY 2022-11-23T01:30:36.5681829Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5681908Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5681995Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5682084Z 12 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5682159Z 14 BINARY_ADD 2022-11-23T01:30:36.5682248Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5682323Z 18 RETURN_VALUE 2022-11-23T01:30:36.5682383Z 2022-11-23T01:30:36.5682389Z 2022-11-23T01:30:36.5682691Z [2022-11-23 01:29:07,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967 2022-11-23T01:30:36.5682900Z [2022-11-23 01:29:07,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5683139Z [2022-11-23 01:29:07,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.5683428Z [2022-11-23 01:29:07,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5683670Z [2022-11-23 01:29:07,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5683952Z [2022-11-23 01:29:07,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5684257Z [2022-11-23 01:29:07,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5684491Z [2022-11-23 01:29:07,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5685018Z [2022-11-23 01:29:07,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5685265Z [2022-11-23 01:29:07,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5685495Z [2022-11-23 01:29:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5685876Z [2022-11-23 01:29:07,839] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5686162Z [2022-11-23 01:29:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5686398Z [2022-11-23 01:29:07,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5686653Z [2022-11-23 01:29:07,841] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5686903Z [2022-11-23 01:29:07,846] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5687091Z [2022-11-23 01:29:07,846] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5687225Z __compiled_fn_452 .3531 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5687315Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5687475Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:30:36.5687619Z call_method, view, view, (mul, [4, -1]), {} 2022-11-23T01:30:36.5687792Z call_function, add, , (view, 1), {} 2022-11-23T01:30:36.5687887Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5687893Z 2022-11-23T01:30:36.5688217Z [2022-11-23 01:29:07,847] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5688310Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5688403Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5688489Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5688568Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5688652Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5688743Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5688818Z 12 RETURN_VALUE 2022-11-23T01:30:36.5688823Z 2022-11-23T01:30:36.5688884Z 2022-11-23T01:30:36.5689212Z [2022-11-23 01:29:07,847] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5689318Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_452) 2022-11-23T01:30:36.5689407Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5689484Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5689561Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5689649Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5689753Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5689881Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5689975Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5690064Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.5690146Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5690248Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5690334Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5690411Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.5690498Z 26 BUILD_TUPLE 1 2022-11-23T01:30:36.5690588Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5690685Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5690760Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5690836Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5690980Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5691071Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5691167Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5691253Z 42 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5691328Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.5691414Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5691517Z 48 RETURN_VALUE 2022-11-23T01:30:36.5691524Z 2022-11-23T01:30:36.5691584Z 2022-11-23T01:30:36.5691768Z [2022-11-23 01:29:07,849] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5691838Z - 2022-11-23T01:30:36.5691956Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5692021Z { 2022-11-23T01:30:36.5692149Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5692335Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5692456Z 'obj_weakref': None 2022-11-23T01:30:36.5692682Z 'guarded_class': 2022-11-23T01:30:36.5692752Z } 2022-11-23T01:30:36.5692817Z 2022-11-23T01:30:36.5692888Z - 2022-11-23T01:30:36.5692998Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5693061Z { 2022-11-23T01:30:36.5693203Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5693312Z 'code': None, 2022-11-23T01:30:36.5693523Z 'obj_weakref': 2022-11-23T01:30:36.5693776Z 'guarded_class': 2022-11-23T01:30:36.5693841Z } 2022-11-23T01:30:36.5693905Z 2022-11-23T01:30:36.5693961Z - 2022-11-23T01:30:36.5694093Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5694158Z { 2022-11-23T01:30:36.5694291Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5694458Z 'code': ['___check_obj_id(model, 140533808932768)'], 2022-11-23T01:30:36.5694577Z 'obj_weakref': None 2022-11-23T01:30:36.5694804Z 'guarded_class': 2022-11-23T01:30:36.5694856Z } 2022-11-23T01:30:36.5694921Z 2022-11-23T01:30:36.5694992Z - 2022-11-23T01:30:36.5695112Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5695176Z { 2022-11-23T01:30:36.5695309Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5695508Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5695625Z 'obj_weakref': None 2022-11-23T01:30:36.5695846Z 'guarded_class': 2022-11-23T01:30:36.5695912Z } 2022-11-23T01:30:36.5695976Z 2022-11-23T01:30:36.5696045Z - 2022-11-23T01:30:36.5696222Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5696272Z { 2022-11-23T01:30:36.5696440Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5696981Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [4, -1]'], 2022-11-23T01:30:36.5697104Z 'obj_weakref': None 2022-11-23T01:30:36.5697328Z 'guarded_class': 2022-11-23T01:30:36.5697391Z } 2022-11-23T01:30:36.5697454Z 2022-11-23T01:30:36.5697525Z - 2022-11-23T01:30:36.5697728Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5697794Z { 2022-11-23T01:30:36.5697936Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5698216Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:30:36.5698335Z 'obj_weakref': None 2022-11-23T01:30:36.5698583Z 'guarded_class': 2022-11-23T01:30:36.5698646Z } 2022-11-23T01:30:36.5698710Z 2022-11-23T01:30:36.5698766Z - 2022-11-23T01:30:36.5698951Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5699016Z { 2022-11-23T01:30:36.5699160Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5699446Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:30:36.5699562Z 'obj_weakref': None 2022-11-23T01:30:36.5699782Z 'guarded_class': 2022-11-23T01:30:36.5699834Z } 2022-11-23T01:30:36.5699900Z 2022-11-23T01:30:36.5700160Z [2022-11-23 01:29:07,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444 2022-11-23T01:30:36.5700527Z [2022-11-23 01:29:09,326] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2bdwrbl47nfa33bdgiagdwab2uam4r3rtozntxhwjogw66ird4.py 2022-11-23T01:30:36.5700794Z [2022-11-23 01:29:09,326] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444 2022-11-23T01:30:36.5701029Z [2022-11-23 01:29:09,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5701347Z [2022-11-23 01:29:09,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5701563Z [2022-11-23 01:29:09,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5701816Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5702081Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5702407Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5702751Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5703079Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5703456Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5703548Z 964 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5703642Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5703737Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5703824Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5703901Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5703974Z 10 BINARY_ADD 2022-11-23T01:30:36.5704062Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5704141Z 14 RETURN_VALUE 2022-11-23T01:30:36.5704204Z 2022-11-23T01:30:36.5704209Z 2022-11-23T01:30:36.5704549Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964 2022-11-23T01:30:36.5704759Z [2022-11-23 01:29:09,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5705000Z [2022-11-23 01:29:09,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5705271Z [2022-11-23 01:29:09,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5705608Z [2022-11-23 01:29:09,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5705844Z [2022-11-23 01:29:09,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5706119Z [2022-11-23 01:29:09,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5706360Z [2022-11-23 01:29:09,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5706604Z [2022-11-23 01:29:09,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5706981Z [2022-11-23 01:29:09,333] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5707226Z [2022-11-23 01:29:09,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5707455Z [2022-11-23 01:29:09,333] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5707705Z [2022-11-23 01:29:09,334] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5707942Z [2022-11-23 01:29:09,337] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5708130Z [2022-11-23 01:29:09,337] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5708264Z __compiled_fn_453 .3537 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5708357Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5708504Z call_method, view, view, (ex_0_, [-1, 100]), {} 2022-11-23T01:30:36.5708675Z call_function, add, , (view, 1), {} 2022-11-23T01:30:36.5708771Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5708778Z 2022-11-23T01:30:36.5709104Z [2022-11-23 01:29:09,338] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5709185Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5709274Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5709360Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5709451Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5709538Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5709625Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5709701Z 12 RETURN_VALUE 2022-11-23T01:30:36.5709706Z 2022-11-23T01:30:36.5709765Z 2022-11-23T01:30:36.5710073Z [2022-11-23 01:29:09,338] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5710181Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_453) 2022-11-23T01:30:36.5710271Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5710360Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5710437Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5710522Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5710624Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5710738Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5710859Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5710949Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.5711044Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5711143Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5711231Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5711306Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.5711414Z 26 BUILD_TUPLE 1 2022-11-23T01:30:36.5711507Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5711605Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5711696Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5711770Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5711871Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5711960Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5712057Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5712131Z 42 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5712205Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.5712305Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5712378Z 48 RETURN_VALUE 2022-11-23T01:30:36.5712383Z 2022-11-23T01:30:36.5712444Z 2022-11-23T01:30:36.5712626Z [2022-11-23 01:29:09,339] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5712699Z - 2022-11-23T01:30:36.5712804Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5712867Z { 2022-11-23T01:30:36.5713006Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5713191Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5713309Z 'obj_weakref': None 2022-11-23T01:30:36.5713536Z 'guarded_class': 2022-11-23T01:30:36.5713600Z } 2022-11-23T01:30:36.5713656Z 2022-11-23T01:30:36.5713724Z - 2022-11-23T01:30:36.5713846Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5713908Z { 2022-11-23T01:30:36.5714049Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5714153Z 'code': None, 2022-11-23T01:30:36.5714361Z 'obj_weakref': 2022-11-23T01:30:36.5714601Z 'guarded_class': 2022-11-23T01:30:36.5714665Z } 2022-11-23T01:30:36.5714729Z 2022-11-23T01:30:36.5714797Z - 2022-11-23T01:30:36.5714927Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5714990Z { 2022-11-23T01:30:36.5715124Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5715278Z 'code': ['___check_obj_id(model, 140534431826992)'], 2022-11-23T01:30:36.5715399Z 'obj_weakref': None 2022-11-23T01:30:36.5715628Z 'guarded_class': 2022-11-23T01:30:36.5715691Z } 2022-11-23T01:30:36.5715754Z 2022-11-23T01:30:36.5715821Z - 2022-11-23T01:30:36.5715941Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5715992Z { 2022-11-23T01:30:36.5716127Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5716343Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5716459Z 'obj_weakref': None 2022-11-23T01:30:36.5716679Z 'guarded_class': 2022-11-23T01:30:36.5716743Z } 2022-11-23T01:30:36.5716805Z 2022-11-23T01:30:36.5716861Z - 2022-11-23T01:30:36.5717035Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5717128Z { 2022-11-23T01:30:36.5717297Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5717847Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [-1, 100]'], 2022-11-23T01:30:36.5717996Z 'obj_weakref': None 2022-11-23T01:30:36.5718216Z 'guarded_class': 2022-11-23T01:30:36.5718281Z } 2022-11-23T01:30:36.5718332Z 2022-11-23T01:30:36.5718399Z - 2022-11-23T01:30:36.5718582Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5718646Z { 2022-11-23T01:30:36.5718787Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5719070Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == -1'], 2022-11-23T01:30:36.5719187Z 'obj_weakref': None 2022-11-23T01:30:36.5719395Z 'guarded_class': 2022-11-23T01:30:36.5719458Z } 2022-11-23T01:30:36.5719520Z 2022-11-23T01:30:36.5719591Z - 2022-11-23T01:30:36.5719772Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5719836Z { 2022-11-23T01:30:36.5719975Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5720346Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:30:36.5720465Z 'obj_weakref': None 2022-11-23T01:30:36.5720689Z 'guarded_class': 2022-11-23T01:30:36.5720755Z } 2022-11-23T01:30:36.5720818Z 2022-11-23T01:30:36.5721075Z [2022-11-23 01:29:09,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445 2022-11-23T01:30:36.5721445Z [2022-11-23 01:29:10,859] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v4/cv4miannhi5noizfwpjmkan7jqpmrjop4b6nr2m342hxhitzauqg.py 2022-11-23T01:30:36.5721713Z [2022-11-23 01:29:10,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445 2022-11-23T01:30:36.5721951Z [2022-11-23 01:29:10,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5722252Z [2022-11-23 01:29:10,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5722470Z [2022-11-23 01:29:10,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5722724Z [2022-11-23 01:29:10,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5723001Z [2022-11-23 01:29:10,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5723321Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5723667Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5723987Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5724397Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5724490Z 967 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5724571Z 2 LOAD_CONST 1 (2) 2022-11-23T01:30:36.5724650Z 4 BINARY_MULTIPLY 2022-11-23T01:30:36.5724881Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5724977Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5725111Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5725200Z 12 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5725274Z 14 BINARY_ADD 2022-11-23T01:30:36.5725362Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5725425Z 18 RETURN_VALUE 2022-11-23T01:30:36.5725486Z 2022-11-23T01:30:36.5725491Z 2022-11-23T01:30:36.5725810Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967 2022-11-23T01:30:36.5726022Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5726263Z [2022-11-23 01:29:10,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.5726555Z [2022-11-23 01:29:10,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5726795Z [2022-11-23 01:29:10,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5727078Z [2022-11-23 01:29:10,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5727379Z [2022-11-23 01:29:10,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5727602Z [2022-11-23 01:29:10,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5727882Z [2022-11-23 01:29:10,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5728122Z [2022-11-23 01:29:10,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5728365Z [2022-11-23 01:29:10,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5728745Z [2022-11-23 01:29:10,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5728991Z [2022-11-23 01:29:10,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5729221Z [2022-11-23 01:29:10,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5729475Z [2022-11-23 01:29:10,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5729723Z [2022-11-23 01:29:10,881] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5729899Z [2022-11-23 01:29:10,881] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5730034Z __compiled_fn_454 .3543 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5730123Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5730299Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:30:36.5730439Z call_method, view, view, (mul, [-1, 100]), {} 2022-11-23T01:30:36.5730608Z call_function, add, , (view, 1), {} 2022-11-23T01:30:36.5730700Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5730706Z 2022-11-23T01:30:36.5731027Z [2022-11-23 01:29:10,881] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5731143Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5731236Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5731322Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5731414Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5731498Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5731588Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5731662Z 12 RETURN_VALUE 2022-11-23T01:30:36.5731708Z 2022-11-23T01:30:36.5731769Z 2022-11-23T01:30:36.5732084Z [2022-11-23 01:29:10,881] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5732190Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_454) 2022-11-23T01:30:36.5732279Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5732367Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5732443Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5732533Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5732635Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5732749Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5732844Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5732930Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.5733025Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5733127Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5733214Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5733291Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.5733365Z 26 BUILD_TUPLE 1 2022-11-23T01:30:36.5733456Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5733553Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5733644Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5733719Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5733819Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5733908Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5734004Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5734078Z 42 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5734153Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.5734253Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5734326Z 48 RETURN_VALUE 2022-11-23T01:30:36.5734331Z 2022-11-23T01:30:36.5734392Z 2022-11-23T01:30:36.5734576Z [2022-11-23 01:29:10,882] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5734644Z - 2022-11-23T01:30:36.5734750Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5734814Z { 2022-11-23T01:30:36.5734956Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5735144Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5735264Z 'obj_weakref': None 2022-11-23T01:30:36.5735488Z 'guarded_class': 2022-11-23T01:30:36.5735553Z } 2022-11-23T01:30:36.5735603Z 2022-11-23T01:30:36.5735673Z - 2022-11-23T01:30:36.5735795Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5735862Z { 2022-11-23T01:30:36.5736003Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5736110Z 'code': None, 2022-11-23T01:30:36.5736320Z 'obj_weakref': 2022-11-23T01:30:36.5736560Z 'guarded_class': 2022-11-23T01:30:36.5736625Z } 2022-11-23T01:30:36.5736689Z 2022-11-23T01:30:36.5736759Z - 2022-11-23T01:30:36.5736951Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5737016Z { 2022-11-23T01:30:36.5737152Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5737307Z 'code': ['___check_obj_id(model, 140533808932768)'], 2022-11-23T01:30:36.5737425Z 'obj_weakref': None 2022-11-23T01:30:36.5737656Z 'guarded_class': 2022-11-23T01:30:36.5737750Z } 2022-11-23T01:30:36.5737815Z 2022-11-23T01:30:36.5737884Z - 2022-11-23T01:30:36.5738004Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5738055Z { 2022-11-23T01:30:36.5738191Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5738408Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5738526Z 'obj_weakref': None 2022-11-23T01:30:36.5738749Z 'guarded_class': 2022-11-23T01:30:36.5738812Z } 2022-11-23T01:30:36.5738875Z 2022-11-23T01:30:36.5738931Z - 2022-11-23T01:30:36.5739109Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5739173Z { 2022-11-23T01:30:36.5739344Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5739889Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents == [-1, 100]'], 2022-11-23T01:30:36.5740011Z 'obj_weakref': None 2022-11-23T01:30:36.5740230Z 'guarded_class': 2022-11-23T01:30:36.5740293Z } 2022-11-23T01:30:36.5740346Z 2022-11-23T01:30:36.5740416Z - 2022-11-23T01:30:36.5740598Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5740661Z { 2022-11-23T01:30:36.5740804Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5741084Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == -1'], 2022-11-23T01:30:36.5741205Z 'obj_weakref': None 2022-11-23T01:30:36.5741413Z 'guarded_class': 2022-11-23T01:30:36.5741480Z } 2022-11-23T01:30:36.5741543Z 2022-11-23T01:30:36.5741615Z - 2022-11-23T01:30:36.5741798Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5741861Z { 2022-11-23T01:30:36.5742001Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5742270Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:30:36.5742393Z 'obj_weakref': None 2022-11-23T01:30:36.5742613Z 'guarded_class': 2022-11-23T01:30:36.5742675Z } 2022-11-23T01:30:36.5742739Z 2022-11-23T01:30:36.5743001Z [2022-11-23 01:29:10,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446 2022-11-23T01:30:36.5743369Z [2022-11-23 01:29:12,315] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xc/cxc7iqc64vrcf6kdmyp4r3qbyqqtkyig37q2eyqpql6argndpp5v.py 2022-11-23T01:30:36.5743632Z [2022-11-23 01:29:12,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446 2022-11-23T01:30:36.5743896Z [2022-11-23 01:29:12,318] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5744200Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5744417Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5744666Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5744972Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5745290Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5745639Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5745966Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5746343Z [2022-11-23 01:29:12,319] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5746438Z 964 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5746533Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5746615Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5746701Z 6 CALL_METHOD 1 2022-11-23T01:30:36.5746789Z 8 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5746865Z 10 BINARY_ADD 2022-11-23T01:30:36.5746953Z 12 BUILD_TUPLE 1 2022-11-23T01:30:36.5747028Z 14 RETURN_VALUE 2022-11-23T01:30:36.5747089Z 2022-11-23T01:30:36.5747095Z 2022-11-23T01:30:36.5747398Z [2022-11-23 01:29:12,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964 2022-11-23T01:30:36.5747611Z [2022-11-23 01:29:12,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5747851Z [2022-11-23 01:29:12,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5748134Z [2022-11-23 01:29:12,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5748439Z [2022-11-23 01:29:12,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5748675Z [2022-11-23 01:29:12,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5748956Z [2022-11-23 01:29:12,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5749194Z [2022-11-23 01:29:12,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5749436Z [2022-11-23 01:29:12,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5749804Z [2022-11-23 01:29:12,322] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5750047Z [2022-11-23 01:29:12,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5750281Z [2022-11-23 01:29:12,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5750534Z [2022-11-23 01:29:12,323] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5750812Z [2022-11-23 01:29:12,326] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5751004Z [2022-11-23 01:29:12,326] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5751138Z __compiled_fn_455 .3549 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5751226Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5751374Z call_method, view, view, (ex_0_, [10, -1, 20]), {} 2022-11-23T01:30:36.5751534Z call_function, add, , (view, 1), {} 2022-11-23T01:30:36.5751658Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5751663Z 2022-11-23T01:30:36.5751987Z [2022-11-23 01:29:12,327] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5752079Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5752168Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5752255Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5752349Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5752433Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5752508Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5752583Z 12 RETURN_VALUE 2022-11-23T01:30:36.5752588Z 2022-11-23T01:30:36.5752648Z 2022-11-23T01:30:36.5752974Z [2022-11-23 01:29:12,327] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5753083Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_455) 2022-11-23T01:30:36.5753172Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5753262Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5753337Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5753413Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5753516Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5753645Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5753738Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5753823Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.5753917Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5754015Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5754091Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5754169Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.5754255Z 26 BUILD_TUPLE 1 2022-11-23T01:30:36.5754345Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5754442Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5754529Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5754603Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5754690Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5754782Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5754877Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5754964Z 42 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5755038Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.5755139Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5755213Z 48 RETURN_VALUE 2022-11-23T01:30:36.5755219Z 2022-11-23T01:30:36.5755270Z 2022-11-23T01:30:36.5755454Z [2022-11-23 01:29:12,328] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5755523Z - 2022-11-23T01:30:36.5755641Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5755705Z { 2022-11-23T01:30:36.5755845Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5756029Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5756135Z 'obj_weakref': None 2022-11-23T01:30:36.5756389Z 'guarded_class': 2022-11-23T01:30:36.5756456Z } 2022-11-23T01:30:36.5756518Z 2022-11-23T01:30:36.5756587Z - 2022-11-23T01:30:36.5756709Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5756770Z { 2022-11-23T01:30:36.5756900Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5757005Z 'code': None, 2022-11-23T01:30:36.5757216Z 'obj_weakref': 2022-11-23T01:30:36.5757499Z 'guarded_class': 2022-11-23T01:30:36.5757562Z } 2022-11-23T01:30:36.5757624Z 2022-11-23T01:30:36.5757692Z - 2022-11-23T01:30:36.5757809Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5757872Z { 2022-11-23T01:30:36.5758004Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5758174Z 'code': ['___check_obj_id(model, 140534431826992)'], 2022-11-23T01:30:36.5758293Z 'obj_weakref': None 2022-11-23T01:30:36.5758523Z 'guarded_class': 2022-11-23T01:30:36.5758587Z } 2022-11-23T01:30:36.5758640Z 2022-11-23T01:30:36.5758707Z - 2022-11-23T01:30:36.5758827Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5758893Z { 2022-11-23T01:30:36.5759027Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5759242Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5759358Z 'obj_weakref': None 2022-11-23T01:30:36.5759565Z 'guarded_class': 2022-11-23T01:30:36.5759629Z } 2022-11-23T01:30:36.5759691Z 2022-11-23T01:30:36.5759758Z - 2022-11-23T01:30:36.5759938Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5760097Z { 2022-11-23T01:30:36.5760270Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5760919Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents == [10, -1, 20]'], 2022-11-23T01:30:36.5761042Z 'obj_weakref': None 2022-11-23T01:30:36.5761251Z 'guarded_class': 2022-11-23T01:30:36.5761315Z } 2022-11-23T01:30:36.5761380Z 2022-11-23T01:30:36.5761448Z - 2022-11-23T01:30:36.5761638Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5761703Z { 2022-11-23T01:30:36.5761848Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5762117Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5762236Z 'obj_weakref': None 2022-11-23T01:30:36.5762462Z 'guarded_class': 2022-11-23T01:30:36.5762528Z } 2022-11-23T01:30:36.5762591Z 2022-11-23T01:30:36.5762660Z - 2022-11-23T01:30:36.5762843Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5762895Z { 2022-11-23T01:30:36.5763035Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5763350Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:30:36.5763469Z 'obj_weakref': None 2022-11-23T01:30:36.5763687Z 'guarded_class': 2022-11-23T01:30:36.5763750Z } 2022-11-23T01:30:36.5763813Z 2022-11-23T01:30:36.5763868Z - 2022-11-23T01:30:36.5764053Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5764142Z { 2022-11-23T01:30:36.5764284Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5764566Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:30:36.5764682Z 'obj_weakref': None 2022-11-23T01:30:36.5765016Z 'guarded_class': 2022-11-23T01:30:36.5765080Z } 2022-11-23T01:30:36.5765130Z 2022-11-23T01:30:36.5765393Z [2022-11-23 01:29:12,333] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447 2022-11-23T01:30:36.5765399Z 2022-11-23T01:30:36.5765492Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5765560Z import torch 2022-11-23T01:30:36.5765630Z import random 2022-11-23T01:30:36.5765745Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5765866Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5765873Z 2022-11-23T01:30:36.5765938Z aten = torch.ops.aten 2022-11-23T01:30:36.5766072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5766163Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5766168Z 2022-11-23T01:30:36.5766172Z 2022-11-23T01:30:36.5766307Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5766510Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5766631Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5766732Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5766792Z { 2022-11-23T01:30:36.5766875Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5766937Z { 2022-11-23T01:30:36.5767013Z #pragma omp for 2022-11-23T01:30:36.5767094Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5767155Z { 2022-11-23T01:30:36.5767299Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5767433Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5767506Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5767597Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5767657Z } 2022-11-23T01:30:36.5767751Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5767833Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.5767894Z { 2022-11-23T01:30:36.5767975Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5768063Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5768146Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5768225Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5768285Z } 2022-11-23T01:30:36.5768345Z } 2022-11-23T01:30:36.5768404Z } 2022-11-23T01:30:36.5768479Z ''') 2022-11-23T01:30:36.5768485Z 2022-11-23T01:30:36.5768489Z 2022-11-23T01:30:36.5768565Z async_compile.wait(globals()) 2022-11-23T01:30:36.5768640Z del async_compile 2022-11-23T01:30:36.5768645Z 2022-11-23T01:30:36.5768714Z def call(args): 2022-11-23T01:30:36.5768783Z arg0_1, = args 2022-11-23T01:30:36.5768853Z args.clear() 2022-11-23T01:30:36.5769050Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5769181Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5769237Z del arg0_1 2022-11-23T01:30:36.5769307Z return (buf0, ) 2022-11-23T01:30:36.5769312Z 2022-11-23T01:30:36.5769316Z 2022-11-23T01:30:36.5769435Z if __name__ == "__main__": 2022-11-23T01:30:36.5769552Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5769673Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5769885Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5769992Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5769997Z 2022-11-23T01:30:36.5770033Z 2022-11-23T01:30:36.5770128Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5770198Z import torch 2022-11-23T01:30:36.5770256Z import random 2022-11-23T01:30:36.5770369Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5770489Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5770494Z 2022-11-23T01:30:36.5770572Z aten = torch.ops.aten 2022-11-23T01:30:36.5770706Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5770797Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5770805Z 2022-11-23T01:30:36.5770809Z 2022-11-23T01:30:36.5770945Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5771138Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5771256Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5771354Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5771417Z { 2022-11-23T01:30:36.5771516Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5771577Z { 2022-11-23T01:30:36.5771654Z #pragma omp for 2022-11-23T01:30:36.5771722Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5771786Z { 2022-11-23T01:30:36.5771919Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5772051Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.5772136Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.5772267Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5772351Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5772440Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5772490Z } 2022-11-23T01:30:36.5772585Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5772668Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:30:36.5772731Z { 2022-11-23T01:30:36.5772813Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5772915Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.5772998Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.5773083Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.5773165Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5773244Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5773306Z } 2022-11-23T01:30:36.5773367Z } 2022-11-23T01:30:36.5773426Z } 2022-11-23T01:30:36.5773491Z ''') 2022-11-23T01:30:36.5773508Z 2022-11-23T01:30:36.5773512Z 2022-11-23T01:30:36.5773589Z async_compile.wait(globals()) 2022-11-23T01:30:36.5773663Z del async_compile 2022-11-23T01:30:36.5773668Z 2022-11-23T01:30:36.5773737Z def call(args): 2022-11-23T01:30:36.5773807Z arg0_1, = args 2022-11-23T01:30:36.5773877Z args.clear() 2022-11-23T01:30:36.5774073Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5774204Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5774262Z del arg0_1 2022-11-23T01:30:36.5774334Z return (buf0, ) 2022-11-23T01:30:36.5774338Z 2022-11-23T01:30:36.5774342Z 2022-11-23T01:30:36.5774418Z if __name__ == "__main__": 2022-11-23T01:30:36.5774532Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5774653Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5774859Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5775000Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5775005Z 2022-11-23T01:30:36.5775009Z 2022-11-23T01:30:36.5775104Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5775161Z import torch 2022-11-23T01:30:36.5775231Z import random 2022-11-23T01:30:36.5775345Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5775469Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5775473Z 2022-11-23T01:30:36.5775610Z aten = torch.ops.aten 2022-11-23T01:30:36.5775741Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5775834Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5775839Z 2022-11-23T01:30:36.5775843Z 2022-11-23T01:30:36.5775976Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5776168Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5776287Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5776388Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5776452Z { 2022-11-23T01:30:36.5776550Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5776611Z { 2022-11-23T01:30:36.5776687Z #pragma omp for 2022-11-23T01:30:36.5776759Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5776823Z { 2022-11-23T01:30:36.5776954Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5777088Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5777173Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5777263Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5777327Z } 2022-11-23T01:30:36.5777409Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5777496Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5777558Z { 2022-11-23T01:30:36.5777643Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5777743Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5777830Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5777910Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5777959Z } 2022-11-23T01:30:36.5778020Z } 2022-11-23T01:30:36.5778082Z } 2022-11-23T01:30:36.5778161Z ''') 2022-11-23T01:30:36.5778166Z 2022-11-23T01:30:36.5778170Z 2022-11-23T01:30:36.5778257Z async_compile.wait(globals()) 2022-11-23T01:30:36.5778331Z del async_compile 2022-11-23T01:30:36.5778338Z 2022-11-23T01:30:36.5778408Z def call(args): 2022-11-23T01:30:36.5778478Z arg0_1, = args 2022-11-23T01:30:36.5778536Z args.clear() 2022-11-23T01:30:36.5778739Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5778869Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5778937Z del arg0_1 2022-11-23T01:30:36.5779008Z return (buf0, ) 2022-11-23T01:30:36.5779013Z 2022-11-23T01:30:36.5779017Z 2022-11-23T01:30:36.5779092Z if __name__ == "__main__": 2022-11-23T01:30:36.5779207Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5779318Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5779545Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5779653Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5779658Z 2022-11-23T01:30:36.5779662Z 2022-11-23T01:30:36.5779758Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5779830Z import torch 2022-11-23T01:30:36.5779902Z import random 2022-11-23T01:30:36.5780016Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5780137Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5780142Z 2022-11-23T01:30:36.5780206Z aten = torch.ops.aten 2022-11-23T01:30:36.5780338Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5780430Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5780435Z 2022-11-23T01:30:36.5780477Z 2022-11-23T01:30:36.5780611Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5780813Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5780931Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5781029Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5781090Z { 2022-11-23T01:30:36.5781173Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5781264Z { 2022-11-23T01:30:36.5781341Z #pragma omp for 2022-11-23T01:30:36.5781427Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5781491Z { 2022-11-23T01:30:36.5781623Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5781753Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.5781825Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.5781954Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5782038Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5782128Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5782192Z } 2022-11-23T01:30:36.5782285Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5782370Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5782420Z { 2022-11-23T01:30:36.5782504Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5782604Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.5782688Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.5782785Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.5782867Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5782945Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5782995Z } 2022-11-23T01:30:36.5783057Z } 2022-11-23T01:30:36.5783116Z } 2022-11-23T01:30:36.5783194Z ''') 2022-11-23T01:30:36.5783199Z 2022-11-23T01:30:36.5783204Z 2022-11-23T01:30:36.5783295Z async_compile.wait(globals()) 2022-11-23T01:30:36.5783367Z del async_compile 2022-11-23T01:30:36.5783372Z 2022-11-23T01:30:36.5783441Z def call(args): 2022-11-23T01:30:36.5783497Z arg0_1, = args 2022-11-23T01:30:36.5783566Z args.clear() 2022-11-23T01:30:36.5783768Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5783902Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5783972Z del arg0_1 2022-11-23T01:30:36.5784042Z return (buf0, ) 2022-11-23T01:30:36.5784047Z 2022-11-23T01:30:36.5784051Z 2022-11-23T01:30:36.5784126Z if __name__ == "__main__": 2022-11-23T01:30:36.5784240Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5784349Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5784577Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5784686Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5784691Z 2022-11-23T01:30:36.5785065Z [2022-11-23 01:29:12,341] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhvmzasa5vsctl6o7mjgacszarott6voqddkyupg735wi5dxnia.py 2022-11-23T01:30:36.5785329Z [2022-11-23 01:29:12,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447 2022-11-23T01:30:36.5785566Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5785882Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5786098Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5786350Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5786639Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5786963Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5787310Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5787663Z [2022-11-23 01:29:12,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5788039Z [2022-11-23 01:29:12,345] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5788132Z 967 0 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5788223Z 2 LOAD_CONST 1 (2) 2022-11-23T01:30:36.5788306Z 4 BINARY_MULTIPLY 2022-11-23T01:30:36.5788399Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:30:36.5788477Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:30:36.5788564Z 10 CALL_METHOD 1 2022-11-23T01:30:36.5788653Z 12 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5788727Z 14 BINARY_ADD 2022-11-23T01:30:36.5788815Z 16 BUILD_TUPLE 1 2022-11-23T01:30:36.5788893Z 18 RETURN_VALUE 2022-11-23T01:30:36.5788953Z 2022-11-23T01:30:36.5788957Z 2022-11-23T01:30:36.5789269Z [2022-11-23 01:29:12,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967 2022-11-23T01:30:36.5789467Z [2022-11-23 01:29:12,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:30:36.5789708Z [2022-11-23 01:29:12,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:30:36.5790000Z [2022-11-23 01:29:12,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5790240Z [2022-11-23 01:29:12,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:30:36.5790520Z [2022-11-23 01:29:12,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:30:36.5790825Z [2022-11-23 01:29:12,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:30:36.5791062Z [2022-11-23 01:29:12,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5791341Z [2022-11-23 01:29:12,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5791580Z [2022-11-23 01:29:12,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5791809Z [2022-11-23 01:29:12,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5792191Z [2022-11-23 01:29:12,348] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5792433Z [2022-11-23 01:29:12,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5792667Z [2022-11-23 01:29:12,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5792918Z [2022-11-23 01:29:12,349] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5793166Z [2022-11-23 01:29:12,352] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5793381Z [2022-11-23 01:29:12,353] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5793518Z __compiled_fn_456 .3555 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5793606Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5793765Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:30:36.5793911Z call_method, view, view, (mul, [10, -1, 20]), {} 2022-11-23T01:30:36.5794082Z call_function, add, , (view, 1), {} 2022-11-23T01:30:36.5794204Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5794209Z 2022-11-23T01:30:36.5794533Z [2022-11-23 01:29:12,353] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5794625Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5794714Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5794799Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5794879Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5794964Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5795051Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5795127Z 12 RETURN_VALUE 2022-11-23T01:30:36.5795131Z 2022-11-23T01:30:36.5795191Z 2022-11-23T01:30:36.5795514Z [2022-11-23 01:29:12,353] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5795624Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_456) 2022-11-23T01:30:36.5795712Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5795790Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5795866Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5795953Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5796056Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5796188Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:30:36.5796282Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:30:36.5796370Z 16 CALL_FUNCTION 0 2022-11-23T01:30:36.5796452Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:30:36.5796553Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5796641Z 22 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5796719Z 24 BINARY_SUBSCR 2022-11-23T01:30:36.5796805Z 26 BUILD_TUPLE 1 2022-11-23T01:30:36.5796897Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5796993Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5797067Z 32 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5797141Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5797241Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5797335Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5797428Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:30:36.5797514Z 42 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5797587Z 44 BINARY_SUBSCR 2022-11-23T01:30:36.5797685Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:30:36.5797746Z 48 RETURN_VALUE 2022-11-23T01:30:36.5797751Z 2022-11-23T01:30:36.5797811Z 2022-11-23T01:30:36.5797996Z [2022-11-23 01:29:12,354] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5798065Z - 2022-11-23T01:30:36.5798183Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5798246Z { 2022-11-23T01:30:36.5798386Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5798558Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5798677Z 'obj_weakref': None 2022-11-23T01:30:36.5798934Z 'guarded_class': 2022-11-23T01:30:36.5799001Z } 2022-11-23T01:30:36.5799064Z 2022-11-23T01:30:36.5799132Z - 2022-11-23T01:30:36.5799255Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5799306Z { 2022-11-23T01:30:36.5799446Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5799552Z 'code': None, 2022-11-23T01:30:36.5799766Z 'obj_weakref': 2022-11-23T01:30:36.5800136Z 'guarded_class': 2022-11-23T01:30:36.5800202Z } 2022-11-23T01:30:36.5800265Z 2022-11-23T01:30:36.5800322Z - 2022-11-23T01:30:36.5800455Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5800517Z { 2022-11-23T01:30:36.5800650Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5800823Z 'code': ['___check_obj_id(model, 140533808932768)'], 2022-11-23T01:30:36.5800942Z 'obj_weakref': None 2022-11-23T01:30:36.5801171Z 'guarded_class': 2022-11-23T01:30:36.5801223Z } 2022-11-23T01:30:36.5801285Z 2022-11-23T01:30:36.5801354Z - 2022-11-23T01:30:36.5801476Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5801541Z { 2022-11-23T01:30:36.5801677Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5801893Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5801997Z 'obj_weakref': None 2022-11-23T01:30:36.5802219Z 'guarded_class': 2022-11-23T01:30:36.5802282Z } 2022-11-23T01:30:36.5802344Z 2022-11-23T01:30:36.5802412Z - 2022-11-23T01:30:36.5802589Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:30:36.5802652Z { 2022-11-23T01:30:36.5802807Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:30:36.5803449Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94427249897024)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', '___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents == [10, -1, 20]'], 2022-11-23T01:30:36.5803571Z 'obj_weakref': None 2022-11-23T01:30:36.5803789Z 'guarded_class': 2022-11-23T01:30:36.5803853Z } 2022-11-23T01:30:36.5803915Z 2022-11-23T01:30:36.5803983Z - 2022-11-23T01:30:36.5804170Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:30:36.5804220Z { 2022-11-23T01:30:36.5804362Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5804644Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94427249894784)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:30:36.5804870Z 'obj_weakref': None 2022-11-23T01:30:36.5805098Z 'guarded_class': 2022-11-23T01:30:36.5805164Z } 2022-11-23T01:30:36.5805227Z 2022-11-23T01:30:36.5805281Z - 2022-11-23T01:30:36.5805464Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5805527Z { 2022-11-23T01:30:36.5805670Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5806002Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94427249894784)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:30:36.5806123Z 'obj_weakref': None 2022-11-23T01:30:36.5806344Z 'guarded_class': 2022-11-23T01:30:36.5806407Z } 2022-11-23T01:30:36.5806457Z 2022-11-23T01:30:36.5806525Z - 2022-11-23T01:30:36.5806710Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5806809Z { 2022-11-23T01:30:36.5806951Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5807232Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94427249894784)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:30:36.5807351Z 'obj_weakref': None 2022-11-23T01:30:36.5807556Z 'guarded_class': 2022-11-23T01:30:36.5807620Z } 2022-11-23T01:30:36.5807683Z 2022-11-23T01:30:36.5807946Z [2022-11-23 01:29:12,360] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448 2022-11-23T01:30:36.5808317Z [2022-11-23 01:29:12,368] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5pjuze22gts3uyprtv4kxsok66ldicfujnijdp73i656yorx5u6.py 2022-11-23T01:30:36.5808584Z [2022-11-23 01:29:12,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448 2022-11-23T01:30:36.5808592Z 2022-11-23T01:30:36.5808685Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5808754Z import torch 2022-11-23T01:30:36.5808812Z import random 2022-11-23T01:30:36.5808926Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5809046Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5809051Z 2022-11-23T01:30:36.5809128Z aten = torch.ops.aten 2022-11-23T01:30:36.5809262Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5809354Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5809361Z 2022-11-23T01:30:36.5809365Z 2022-11-23T01:30:36.5809499Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5809703Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5809810Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5809908Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5809968Z { 2022-11-23T01:30:36.5810067Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5810128Z { 2022-11-23T01:30:36.5810204Z #pragma omp for 2022-11-23T01:30:36.5810286Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5810336Z { 2022-11-23T01:30:36.5810473Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5810603Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5810688Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5810808Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5810871Z } 2022-11-23T01:30:36.5810966Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5811040Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5811105Z { 2022-11-23T01:30:36.5811187Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5811286Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5811370Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5811451Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5811513Z } 2022-11-23T01:30:36.5811562Z } 2022-11-23T01:30:36.5811622Z } 2022-11-23T01:30:36.5811701Z ''') 2022-11-23T01:30:36.5811706Z 2022-11-23T01:30:36.5811710Z 2022-11-23T01:30:36.5811800Z async_compile.wait(globals()) 2022-11-23T01:30:36.5811873Z del async_compile 2022-11-23T01:30:36.5811877Z 2022-11-23T01:30:36.5811947Z def call(args): 2022-11-23T01:30:36.5812017Z arg0_1, = args 2022-11-23T01:30:36.5812075Z args.clear() 2022-11-23T01:30:36.5812311Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5812448Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5812515Z del arg0_1 2022-11-23T01:30:36.5812585Z return (buf0, ) 2022-11-23T01:30:36.5812590Z 2022-11-23T01:30:36.5812595Z 2022-11-23T01:30:36.5812670Z if __name__ == "__main__": 2022-11-23T01:30:36.5812783Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5812939Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5813126Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5813234Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5813238Z 2022-11-23T01:30:36.5813242Z 2022-11-23T01:30:36.5813336Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5813407Z import torch 2022-11-23T01:30:36.5813479Z import random 2022-11-23T01:30:36.5813596Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5813719Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5813723Z 2022-11-23T01:30:36.5813799Z aten = torch.ops.aten 2022-11-23T01:30:36.5813922Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5814013Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5814018Z 2022-11-23T01:30:36.5814022Z 2022-11-23T01:30:36.5814156Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5814363Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5814485Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5814586Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5814647Z { 2022-11-23T01:30:36.5814744Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5814793Z { 2022-11-23T01:30:36.5814869Z #pragma omp for 2022-11-23T01:30:36.5814953Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:30:36.5815019Z { 2022-11-23T01:30:36.5815152Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5815284Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:30:36.5815369Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.5815484Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5815569Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5815663Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5815728Z } 2022-11-23T01:30:36.5815822Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5815907Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:30:36.5815970Z { 2022-11-23T01:30:36.5816040Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5816138Z auto tmp1 = static_cast(2); 2022-11-23T01:30:36.5816220Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:30:36.5816318Z auto tmp3 = static_cast(1); 2022-11-23T01:30:36.5816404Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:30:36.5816483Z out_ptr0[i0] = tmp4; 2022-11-23T01:30:36.5816547Z } 2022-11-23T01:30:36.5816595Z } 2022-11-23T01:30:36.5816653Z } 2022-11-23T01:30:36.5816736Z ''') 2022-11-23T01:30:36.5816741Z 2022-11-23T01:30:36.5816746Z 2022-11-23T01:30:36.5816833Z async_compile.wait(globals()) 2022-11-23T01:30:36.5816906Z del async_compile 2022-11-23T01:30:36.5816913Z 2022-11-23T01:30:36.5816983Z def call(args): 2022-11-23T01:30:36.5817052Z arg0_1, = args 2022-11-23T01:30:36.5817111Z args.clear() 2022-11-23T01:30:36.5817322Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5817456Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5817523Z del arg0_1 2022-11-23T01:30:36.5817595Z return (buf0, ) 2022-11-23T01:30:36.5817599Z 2022-11-23T01:30:36.5817603Z 2022-11-23T01:30:36.5817712Z if __name__ == "__main__": 2022-11-23T01:30:36.5817828Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5817949Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5818135Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5818243Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5818247Z 2022-11-23T01:30:36.5818315Z ok (5.983s) 2022-11-23T01:30:36.5818652Z test_views3_cpu (__main__.CpuTests) ... [2022-11-23 01:29:12,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5818967Z [2022-11-23 01:29:12,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5819187Z [2022-11-23 01:29:12,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5819442Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5819721Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5820042Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5820376Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5820705Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5821087Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5821186Z 980 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5821280Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.5821369Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.5821463Z 6 LOAD_METHOD 3 (index) 2022-11-23T01:30:36.5821551Z 8 LOAD_FAST 0 (arg1) 2022-11-23T01:30:36.5821626Z 10 LOAD_FAST 1 (arg2) 2022-11-23T01:30:36.5821711Z 12 BUILD_LIST 1 2022-11-23T01:30:36.5821800Z 14 CALL_METHOD 2 2022-11-23T01:30:36.5821892Z 16 STORE_FAST 2 (index) 2022-11-23T01:30:36.5821897Z 2022-11-23T01:30:36.5821987Z 981 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5822077Z 20 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.5822163Z 22 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.5822251Z 24 LOAD_METHOD 4 (view) 2022-11-23T01:30:36.5822329Z 26 LOAD_FAST 2 (index) 2022-11-23T01:30:36.5822415Z 28 BUILD_LIST 0 2022-11-23T01:30:36.5822510Z 30 LOAD_CONST 1 ((1, 2232, 64)) 2022-11-23T01:30:36.5822594Z 32 LIST_EXTEND 1 2022-11-23T01:30:36.5822677Z 34 CALL_METHOD 2 2022-11-23T01:30:36.5822767Z 36 STORE_FAST 3 (view_1) 2022-11-23T01:30:36.5822775Z 2022-11-23T01:30:36.5822864Z 982 38 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5822953Z 40 LOAD_ATTR 1 (ops) 2022-11-23T01:30:36.5823029Z 42 LOAD_ATTR 2 (aten) 2022-11-23T01:30:36.5823116Z 44 LOAD_METHOD 4 (view) 2022-11-23T01:30:36.5823206Z 46 LOAD_FAST 3 (view_1) 2022-11-23T01:30:36.5823290Z 48 BUILD_LIST 0 2022-11-23T01:30:36.5823387Z 50 LOAD_CONST 2 ((1, 12, 62, 192)) 2022-11-23T01:30:36.5823508Z 52 LIST_EXTEND 1 2022-11-23T01:30:36.5823595Z 54 CALL_METHOD 2 2022-11-23T01:30:36.5823673Z 56 STORE_FAST 4 (view_2) 2022-11-23T01:30:36.5823677Z 2022-11-23T01:30:36.5823769Z 983 58 LOAD_FAST 4 (view_2) 2022-11-23T01:30:36.5823847Z 60 RETURN_VALUE 2022-11-23T01:30:36.5823909Z 2022-11-23T01:30:36.5823913Z 2022-11-23T01:30:36.5824259Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:980 2022-11-23T01:30:36.5824485Z [2022-11-23 01:29:12,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.5824848Z [2022-11-23 01:29:12,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.5825144Z [2022-11-23 01:29:12,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.5825449Z [2022-11-23 01:29:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:30:36.5825693Z [2022-11-23 01:29:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)] 2022-11-23T01:30:36.5825980Z [2022-11-23 01:29:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:30:36.5826287Z [2022-11-23 01:29:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5826612Z [2022-11-23 01:29:12,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.5827014Z [2022-11-23 01:29:12,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()] 2022-11-23T01:30:36.5827339Z [2022-11-23 01:29:12,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:981 2022-11-23T01:30:36.5827557Z [2022-11-23 01:29:12,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.5827923Z [2022-11-23 01:29:12,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.5828220Z [2022-11-23 01:29:12,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.5828526Z [2022-11-23 01:29:12,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable()] 2022-11-23T01:30:36.5828788Z [2022-11-23 01:29:12,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)] 2022-11-23T01:30:36.5829069Z [2022-11-23 01:29:12,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()] 2022-11-23T01:30:36.5829375Z [2022-11-23 01:29:12,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2232, 64) [TorchVariable(aten.view), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.5829721Z [2022-11-23 01:29:12,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.5830031Z [2022-11-23 01:29:12,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.5830275Z [2022-11-23 01:29:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()] 2022-11-23T01:30:36.5830620Z [2022-11-23 01:29:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:982 2022-11-23T01:30:36.5830837Z [2022-11-23 01:29:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:30:36.5831198Z [2022-11-23 01:29:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:30:36.5831491Z [2022-11-23 01:29:12,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:30:36.5831820Z [2022-11-23 01:29:12,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable()] 2022-11-23T01:30:36.5832078Z [2022-11-23 01:29:12,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)] 2022-11-23T01:30:36.5832356Z [2022-11-23 01:29:12,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()] 2022-11-23T01:30:36.5832661Z [2022-11-23 01:29:12,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 12, 62, 192) [TorchVariable(aten.view), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.5833004Z [2022-11-23 01:29:12,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.5833311Z [2022-11-23 01:29:12,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()] 2022-11-23T01:30:36.5833557Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()] 2022-11-23T01:30:36.5833866Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:983 2022-11-23T01:30:36.5834082Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 [] 2022-11-23T01:30:36.5834332Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.5834722Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5834964Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.5835200Z [2022-11-23 01:29:12,401] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5835455Z [2022-11-23 01:29:12,402] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5835692Z [2022-11-23 01:29:12,406] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5835880Z [2022-11-23 01:29:12,406] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5836020Z __compiled_fn_457 .3561 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5836112Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5836203Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5836317Z call_function, index, aten.index, (ex_0_, [ex_1_]), {} 2022-11-23T01:30:36.5836433Z call_function, view, aten.view, (index, [1, 2232, 64]), {} 2022-11-23T01:30:36.5836536Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {} 2022-11-23T01:30:36.5836638Z output, output, output, ((view_1,),), {} 2022-11-23T01:30:36.5836643Z 2022-11-23T01:30:36.5836972Z [2022-11-23 01:29:12,407] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5837066Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5837157Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5837242Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5837374Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5837460Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5837537Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5837613Z 12 RETURN_VALUE 2022-11-23T01:30:36.5837618Z 2022-11-23T01:30:36.5837680Z 2022-11-23T01:30:36.5838003Z [2022-11-23 01:29:12,407] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5838146Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_457) 2022-11-23T01:30:36.5838235Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5838325Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5838402Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5838477Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5838564Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5838644Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5838735Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5838826Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.5838901Z 18 RETURN_VALUE 2022-11-23T01:30:36.5838906Z 2022-11-23T01:30:36.5838968Z 2022-11-23T01:30:36.5839138Z [2022-11-23 01:29:12,408] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5839209Z - 2022-11-23T01:30:36.5839329Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5839397Z { 2022-11-23T01:30:36.5839537Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5839725Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5839844Z 'obj_weakref': None 2022-11-23T01:30:36.5840154Z 'guarded_class': 2022-11-23T01:30:36.5840226Z } 2022-11-23T01:30:36.5840291Z 2022-11-23T01:30:36.5840363Z - 2022-11-23T01:30:36.5840491Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5840559Z { 2022-11-23T01:30:36.5840702Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5840795Z 'code': None, 2022-11-23T01:30:36.5841011Z 'obj_weakref': 2022-11-23T01:30:36.5841265Z 'guarded_class': 2022-11-23T01:30:36.5841331Z } 2022-11-23T01:30:36.5841399Z 2022-11-23T01:30:36.5841469Z - 2022-11-23T01:30:36.5841594Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5841645Z { 2022-11-23T01:30:36.5841791Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5841899Z 'code': None, 2022-11-23T01:30:36.5842113Z 'obj_weakref': 2022-11-23T01:30:36.5842369Z 'guarded_class': 2022-11-23T01:30:36.5842433Z } 2022-11-23T01:30:36.5842497Z 2022-11-23T01:30:36.5842554Z - 2022-11-23T01:30:36.5842690Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5842754Z { 2022-11-23T01:30:36.5842893Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5843063Z 'code': ['___check_obj_id(model, 140534417953488)'], 2022-11-23T01:30:36.5843186Z 'obj_weakref': None 2022-11-23T01:30:36.5843415Z 'guarded_class': 2022-11-23T01:30:36.5843466Z } 2022-11-23T01:30:36.5843529Z 2022-11-23T01:30:36.5843600Z - 2022-11-23T01:30:36.5843721Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5843786Z { 2022-11-23T01:30:36.5843922Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5844171Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5844278Z 'obj_weakref': None 2022-11-23T01:30:36.5844499Z 'guarded_class': 2022-11-23T01:30:36.5844562Z } 2022-11-23T01:30:36.5844624Z 2022-11-23T01:30:36.5844694Z - 2022-11-23T01:30:36.5844970Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.5845036Z { 2022-11-23T01:30:36.5845145Z 'guard_types': None, 2022-11-23T01:30:36.5845252Z 'code': None, 2022-11-23T01:30:36.5845373Z 'obj_weakref': None 2022-11-23T01:30:36.5845495Z 'guarded_class': None 2022-11-23T01:30:36.5845563Z } 2022-11-23T01:30:36.5845628Z 2022-11-23T01:30:36.5845899Z [2022-11-23 01:29:12,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 449 2022-11-23T01:30:36.5846275Z [2022-11-23 01:29:13,883] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yo/cyop4pjpiddm4k6remxfjk62f776iv7fn4fqs2e45ktnlx7hphim.py 2022-11-23T01:30:36.5846544Z [2022-11-23 01:29:13,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 449 2022-11-23T01:30:36.5846550Z 2022-11-23T01:30:36.5846643Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5846713Z import torch 2022-11-23T01:30:36.5846789Z import random 2022-11-23T01:30:36.5846904Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5847025Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5847030Z 2022-11-23T01:30:36.5847108Z aten = torch.ops.aten 2022-11-23T01:30:36.5847229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5847320Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5847325Z 2022-11-23T01:30:36.5847330Z 2022-11-23T01:30:36.5847462Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5847674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5847792Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:30:36.5847897Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5847997Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5848058Z { 2022-11-23T01:30:36.5848142Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5848206Z { 2022-11-23T01:30:36.5848284Z #pragma omp for 2022-11-23T01:30:36.5848367Z for(long i0=0; i0<2232; i0+=1) 2022-11-23T01:30:36.5848429Z { 2022-11-23T01:30:36.5848509Z #pragma GCC ivdep 2022-11-23T01:30:36.5848581Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:30:36.5848644Z { 2022-11-23T01:30:36.5848709Z { 2022-11-23T01:30:36.5848775Z { 2022-11-23T01:30:36.5848874Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5848980Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:30:36.5849076Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:30:36.5849129Z } 2022-11-23T01:30:36.5849196Z } 2022-11-23T01:30:36.5849260Z } 2022-11-23T01:30:36.5849325Z } 2022-11-23T01:30:36.5849387Z } 2022-11-23T01:30:36.5849446Z } 2022-11-23T01:30:36.5849528Z ''') 2022-11-23T01:30:36.5849533Z 2022-11-23T01:30:36.5849538Z 2022-11-23T01:30:36.5849614Z async_compile.wait(globals()) 2022-11-23T01:30:36.5849688Z del async_compile 2022-11-23T01:30:36.5849693Z 2022-11-23T01:30:36.5849763Z def call(args): 2022-11-23T01:30:36.5849838Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5849912Z args.clear() 2022-11-23T01:30:36.5850113Z buf0 = empty_strided((2232, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5850329Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5850401Z del arg0_1 2022-11-23T01:30:36.5850455Z del arg1_1 2022-11-23T01:30:36.5850566Z return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), ) 2022-11-23T01:30:36.5850574Z 2022-11-23T01:30:36.5850578Z 2022-11-23T01:30:36.5850655Z if __name__ == "__main__": 2022-11-23T01:30:36.5850771Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5850896Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5851135Z arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5851330Z arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:30:36.5851446Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5851452Z 2022-11-23T01:30:36.5851505Z ok (1.516s) 2022-11-23T01:30:36.5851850Z test_zero_dim_reductions_cpu (__main__.CpuTests) ... [2022-11-23 01:29:13,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing 2022-11-23T01:30:36.5852068Z [2022-11-23 01:29:13,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn [] 2022-11-23T01:30:36.5852321Z [2022-11-23 01:29:13,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)] 2022-11-23T01:30:36.5852608Z [2022-11-23 01:29:13,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()] 2022-11-23T01:30:36.5852858Z [2022-11-23 01:29:13,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.5853098Z [2022-11-23 01:29:13,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing 2022-11-23T01:30:36.5853338Z [2022-11-23 01:29:13,929] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.5853576Z [2022-11-23 01:29:13,932] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.5853755Z [2022-11-23 01:29:13,932] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5853890Z __compiled_fn_458 .3567 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5853977Z placeholder, x_0_, x_0_, (), {} 2022-11-23T01:30:36.5854086Z call_function, all_1, aten.all, (x_0_, 1, True), {} 2022-11-23T01:30:36.5854181Z output, output, output, ((all_1,),), {} 2022-11-23T01:30:36.5854186Z 2022-11-23T01:30:36.5854531Z [2022-11-23 01:29:13,933] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 2022-11-23T01:30:36.5854625Z 4521 0 LOAD_DEREF 0 (fn) 2022-11-23T01:30:36.5854719Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5854797Z 4 CALL_FUNCTION_EX 0 2022-11-23T01:30:36.5854875Z 6 RETURN_VALUE 2022-11-23T01:30:36.5854880Z 2022-11-23T01:30:36.5854941Z 2022-11-23T01:30:36.5855279Z [2022-11-23 01:29:13,933] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 2022-11-23T01:30:36.5855389Z 4521 0 LOAD_GLOBAL 0 (__compiled_fn_458) 2022-11-23T01:30:36.5855480Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5855569Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5855647Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5855724Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5855819Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.5855896Z 12 RETURN_VALUE 2022-11-23T01:30:36.5855900Z 2022-11-23T01:30:36.5855962Z 2022-11-23T01:30:36.5856146Z [2022-11-23 01:29:13,933] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5856217Z - 2022-11-23T01:30:36.5856337Z local 'x' LIST_LENGTH 2022-11-23T01:30:36.5856389Z { 2022-11-23T01:30:36.5856536Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5856750Z 'code': ['___check_type_id(x, 94427249872512)', 'len(x) == 3'], 2022-11-23T01:30:36.5856874Z 'obj_weakref': None 2022-11-23T01:30:36.5857102Z 'guarded_class': 2022-11-23T01:30:36.5857169Z } 2022-11-23T01:30:36.5857233Z 2022-11-23T01:30:36.5857290Z - 2022-11-23T01:30:36.5857417Z local 'fn' FUNCTION_MATCH 2022-11-23T01:30:36.5857508Z { 2022-11-23T01:30:36.5857646Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5857808Z 'code': ['___check_obj_id(fn, 140534737040528)'], 2022-11-23T01:30:36.5858047Z 'obj_weakref': 2022-11-23T01:30:36.5858296Z 'guarded_class': 2022-11-23T01:30:36.5858347Z } 2022-11-23T01:30:36.5858409Z 2022-11-23T01:30:36.5858481Z - 2022-11-23T01:30:36.5858605Z local 'x[0]' TENSOR_MATCH 2022-11-23T01:30:36.5858670Z { 2022-11-23T01:30:36.5858816Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5858924Z 'code': None, 2022-11-23T01:30:36.5859121Z 'obj_weakref': 2022-11-23T01:30:36.5859373Z 'guarded_class': 2022-11-23T01:30:36.5859440Z } 2022-11-23T01:30:36.5859509Z 2022-11-23T01:30:36.5859577Z - 2022-11-23T01:30:36.5859704Z local 'x[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5859768Z { 2022-11-23T01:30:36.5859895Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5860078Z 'code': ['___check_type_id(x[1], 94427249894784)', 'x[1] == 1'], 2022-11-23T01:30:36.5860197Z 'obj_weakref': None 2022-11-23T01:30:36.5860423Z 'guarded_class': 2022-11-23T01:30:36.5860489Z } 2022-11-23T01:30:36.5860554Z 2022-11-23T01:30:36.5860622Z - 2022-11-23T01:30:36.5860735Z local 'x[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5860798Z { 2022-11-23T01:30:36.5860933Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5861099Z 'code': ['___check_obj_id(x[2], 94427249932000)'], 2022-11-23T01:30:36.5861217Z 'obj_weakref': None 2022-11-23T01:30:36.5861438Z 'guarded_class': 2022-11-23T01:30:36.5861501Z } 2022-11-23T01:30:36.5867059Z 2022-11-23T01:30:36.5867409Z [2022-11-23 01:29:13,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 450 2022-11-23T01:30:36.5867782Z [2022-11-23 01:29:15,350] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k5/ck5ls2geoszjb5mbnwsym2l3clskycdqdr5kcxxgq3cthzekd5bd.py 2022-11-23T01:30:36.5868054Z [2022-11-23 01:29:15,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 450 2022-11-23T01:30:36.5868303Z [2022-11-23 01:29:15,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing 2022-11-23T01:30:36.5868517Z [2022-11-23 01:29:15,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn [] 2022-11-23T01:30:36.5868774Z [2022-11-23 01:29:15,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)] 2022-11-23T01:30:36.5869063Z [2022-11-23 01:29:15,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()] 2022-11-23T01:30:36.5869310Z [2022-11-23 01:29:15,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:30:36.5869626Z [2022-11-23 01:29:15,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing 2022-11-23T01:30:36.5869872Z [2022-11-23 01:29:15,394] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:30:36.5870097Z [2022-11-23 01:29:15,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:30:36.5870286Z [2022-11-23 01:29:15,397] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5870456Z __compiled_fn_459 .3573 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5870546Z placeholder, x_0_, x_0_, (), {} 2022-11-23T01:30:36.5870657Z call_function, all_1, aten.all, (x_0_, 1, False), {} 2022-11-23T01:30:36.5870754Z output, output, output, ((all_1,),), {} 2022-11-23T01:30:36.5870760Z 2022-11-23T01:30:36.5871097Z [2022-11-23 01:29:15,397] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 2022-11-23T01:30:36.5871195Z 4521 0 LOAD_DEREF 0 (fn) 2022-11-23T01:30:36.5871274Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5871372Z 4 CALL_FUNCTION_EX 0 2022-11-23T01:30:36.5871447Z 6 RETURN_VALUE 2022-11-23T01:30:36.5871452Z 2022-11-23T01:30:36.5871513Z 2022-11-23T01:30:36.5871849Z [2022-11-23 01:29:15,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 2022-11-23T01:30:36.5871963Z 4521 0 LOAD_GLOBAL 0 (__compiled_fn_459) 2022-11-23T01:30:36.5872051Z 2 LOAD_FAST 0 (x) 2022-11-23T01:30:36.5872139Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5872203Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5872293Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5872385Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:30:36.5872464Z 12 RETURN_VALUE 2022-11-23T01:30:36.5872469Z 2022-11-23T01:30:36.5872530Z 2022-11-23T01:30:36.5872713Z [2022-11-23 01:29:15,398] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5872781Z - 2022-11-23T01:30:36.5872884Z local 'x' LIST_LENGTH 2022-11-23T01:30:36.5872949Z { 2022-11-23T01:30:36.5873088Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5873270Z 'code': ['___check_type_id(x, 94427249872512)', 'len(x) == 3'], 2022-11-23T01:30:36.5873393Z 'obj_weakref': None 2022-11-23T01:30:36.5873619Z 'guarded_class': 2022-11-23T01:30:36.5873683Z } 2022-11-23T01:30:36.5873732Z 2022-11-23T01:30:36.5873800Z - 2022-11-23T01:30:36.5873924Z local 'fn' FUNCTION_MATCH 2022-11-23T01:30:36.5873986Z { 2022-11-23T01:30:36.5874120Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5874284Z 'code': ['___check_obj_id(fn, 140534737040528)'], 2022-11-23T01:30:36.5874523Z 'obj_weakref': 2022-11-23T01:30:36.5874760Z 'guarded_class': 2022-11-23T01:30:36.5874823Z } 2022-11-23T01:30:36.5874886Z 2022-11-23T01:30:36.5874954Z - 2022-11-23T01:30:36.5875076Z local 'x[0]' TENSOR_MATCH 2022-11-23T01:30:36.5875142Z { 2022-11-23T01:30:36.5875283Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5875376Z 'code': None, 2022-11-23T01:30:36.5875590Z 'obj_weakref': 2022-11-23T01:30:36.5875844Z 'guarded_class': 2022-11-23T01:30:36.5875908Z } 2022-11-23T01:30:36.5875972Z 2022-11-23T01:30:36.5876043Z - 2022-11-23T01:30:36.5876196Z local 'x[1]' CONSTANT_MATCH 2022-11-23T01:30:36.5876247Z { 2022-11-23T01:30:36.5876390Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5876572Z 'code': ['___check_type_id(x[1], 94427249894784)', 'x[1] == 1'], 2022-11-23T01:30:36.5876692Z 'obj_weakref': None 2022-11-23T01:30:36.5876935Z 'guarded_class': 2022-11-23T01:30:36.5877056Z } 2022-11-23T01:30:36.5877144Z 2022-11-23T01:30:36.5877235Z - 2022-11-23T01:30:36.5877367Z local 'x[2]' CONSTANT_MATCH 2022-11-23T01:30:36.5877429Z { 2022-11-23T01:30:36.5877565Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5877729Z 'code': ['___check_obj_id(x[2], 94427249931968)'], 2022-11-23T01:30:36.5877847Z 'obj_weakref': None 2022-11-23T01:30:36.5878074Z 'guarded_class': 2022-11-23T01:30:36.5878126Z } 2022-11-23T01:30:36.5878194Z 2022-11-23T01:30:36.5878455Z [2022-11-23 01:29:15,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 451 2022-11-23T01:30:36.5878826Z [2022-11-23 01:29:15,410] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuio7q7xpih2b4rysiuyjt2n3kdggb7rzbetwhb6ppwfsioeklc.py 2022-11-23T01:30:36.5879097Z [2022-11-23 01:29:15,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 451 2022-11-23T01:30:36.5879103Z 2022-11-23T01:30:36.5879198Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5879269Z import torch 2022-11-23T01:30:36.5879338Z import random 2022-11-23T01:30:36.5879440Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5879564Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5879569Z 2022-11-23T01:30:36.5879648Z aten = torch.ops.aten 2022-11-23T01:30:36.5879782Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5879875Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5879880Z 2022-11-23T01:30:36.5879885Z 2022-11-23T01:30:36.5880146Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5880357Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5880473Z extern "C" void kernel(bool* __restrict__ out_ptr0) 2022-11-23T01:30:36.5880521Z { 2022-11-23T01:30:36.5880596Z #pragma GCC ivdep 2022-11-23T01:30:36.5880677Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5880739Z { 2022-11-23T01:30:36.5880803Z { 2022-11-23T01:30:36.5880868Z { 2022-11-23T01:30:36.5880973Z auto tmp0 = static_cast(false); 2022-11-23T01:30:36.5881046Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:36.5881128Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.5881191Z } 2022-11-23T01:30:36.5881257Z } 2022-11-23T01:30:36.5881324Z } 2022-11-23T01:30:36.5881383Z } 2022-11-23T01:30:36.5881463Z ''') 2022-11-23T01:30:36.5881468Z 2022-11-23T01:30:36.5881472Z 2022-11-23T01:30:36.5881548Z async_compile.wait(globals()) 2022-11-23T01:30:36.5881619Z del async_compile 2022-11-23T01:30:36.5881624Z 2022-11-23T01:30:36.5881693Z def call(args): 2022-11-23T01:30:36.5881761Z arg0_1, = args 2022-11-23T01:30:36.5881835Z args.clear() 2022-11-23T01:30:36.5882024Z buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.5882127Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5882186Z return (buf0, ) 2022-11-23T01:30:36.5882191Z 2022-11-23T01:30:36.5882207Z 2022-11-23T01:30:36.5882270Z if __name__ == "__main__": 2022-11-23T01:30:36.5882383Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5882507Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5882747Z arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16) 2022-11-23T01:30:36.5882857Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5882862Z 2022-11-23T01:30:36.5882866Z 2022-11-23T01:30:36.5882960Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5883029Z import torch 2022-11-23T01:30:36.5883086Z import random 2022-11-23T01:30:36.5883199Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5883350Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5883354Z 2022-11-23T01:30:36.5883432Z aten = torch.ops.aten 2022-11-23T01:30:36.5883564Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5883660Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5883665Z 2022-11-23T01:30:36.5883669Z 2022-11-23T01:30:36.5883801Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5884006Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5884105Z extern "C" void kernel(bool* __restrict__ out_ptr0) 2022-11-23T01:30:36.5884165Z { 2022-11-23T01:30:36.5884244Z #pragma GCC ivdep 2022-11-23T01:30:36.5884323Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:30:36.5884386Z { 2022-11-23T01:30:36.5884448Z { 2022-11-23T01:30:36.5884511Z { 2022-11-23T01:30:36.5884602Z auto tmp0 = static_cast(false); 2022-11-23T01:30:36.5884685Z auto tmp1 = tmp0 == 0; 2022-11-23T01:30:36.5884871Z out_ptr0[i0] = tmp1; 2022-11-23T01:30:36.5884937Z } 2022-11-23T01:30:36.5885001Z } 2022-11-23T01:30:36.5885063Z } 2022-11-23T01:30:36.5885125Z } 2022-11-23T01:30:36.5885190Z ''') 2022-11-23T01:30:36.5885195Z 2022-11-23T01:30:36.5885199Z 2022-11-23T01:30:36.5885289Z async_compile.wait(globals()) 2022-11-23T01:30:36.5885362Z del async_compile 2022-11-23T01:30:36.5885366Z 2022-11-23T01:30:36.5885436Z def call(args): 2022-11-23T01:30:36.5885506Z arg0_1, = args 2022-11-23T01:30:36.5885581Z args.clear() 2022-11-23T01:30:36.5885769Z buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:30:36.5885859Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5885931Z return (buf0, ) 2022-11-23T01:30:36.5885936Z 2022-11-23T01:30:36.5885940Z 2022-11-23T01:30:36.5886015Z if __name__ == "__main__": 2022-11-23T01:30:36.5886128Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5886254Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5886452Z arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16) 2022-11-23T01:30:36.5886561Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5886566Z 2022-11-23T01:30:36.5886632Z ok (1.527s) 2022-11-23T01:30:36.5886924Z test_zeros_cpu (__main__.CpuTests) ... [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5887243Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5887461Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5887714Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5887990Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5888309Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5888655Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5889028Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5889406Z [2022-11-23 01:29:15,416] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5889500Z 2771 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5889578Z 2 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5889693Z 4 BINARY_ADD 2022-11-23T01:30:36.5889698Z 2022-11-23T01:30:36.5889798Z 2772 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5889887Z 8 LOAD_ATTR 1 (zeros) 2022-11-23T01:30:36.5889892Z 2022-11-23T01:30:36.5889991Z 2773 10 LOAD_CONST 2 ((1, 8, 64, 64)) 2022-11-23T01:30:36.5889996Z 2022-11-23T01:30:36.5890088Z 2774 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5890181Z 14 LOAD_ATTR 2 (float32) 2022-11-23T01:30:36.5890186Z 2022-11-23T01:30:36.5890279Z 2775 16 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5890372Z 18 LOAD_ATTR 3 (device) 2022-11-23T01:30:36.5890377Z 2022-11-23T01:30:36.5890527Z 2772 20 LOAD_CONST 3 (('dtype', 'device')) 2022-11-23T01:30:36.5890620Z 22 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.5890624Z 2022-11-23T01:30:36.5890714Z 2777 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5890804Z 26 LOAD_ATTR 1 (zeros) 2022-11-23T01:30:36.5890809Z 2022-11-23T01:30:36.5890896Z 2778 28 LOAD_CONST 1 (1) 2022-11-23T01:30:36.5890901Z 2022-11-23T01:30:36.5890989Z 2779 30 LOAD_CONST 4 (8) 2022-11-23T01:30:36.5890993Z 2022-11-23T01:30:36.5891084Z 2780 32 LOAD_CONST 5 (64) 2022-11-23T01:30:36.5891089Z 2022-11-23T01:30:36.5891176Z 2781 34 LOAD_CONST 5 (64) 2022-11-23T01:30:36.5891181Z 2022-11-23T01:30:36.5891276Z 2782 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5891355Z 38 LOAD_ATTR 2 (float32) 2022-11-23T01:30:36.5891372Z 2022-11-23T01:30:36.5891446Z 2783 40 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5891536Z 42 LOAD_ATTR 3 (device) 2022-11-23T01:30:36.5891540Z 2022-11-23T01:30:36.5891701Z 2777 44 LOAD_CONST 3 (('dtype', 'device')) 2022-11-23T01:30:36.5891796Z 46 CALL_FUNCTION_KW 6 2022-11-23T01:30:36.5891801Z 2022-11-23T01:30:36.5891892Z 2785 48 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5891980Z 50 LOAD_ATTR 1 (zeros) 2022-11-23T01:30:36.5892068Z 52 LOAD_CONST 6 (2) 2022-11-23T01:30:36.5892143Z 54 LOAD_CONST 7 (3) 2022-11-23T01:30:36.5892233Z 56 LOAD_CONST 0 (None) 2022-11-23T01:30:36.5892384Z 58 LOAD_CONST 8 (('names',)) 2022-11-23T01:30:36.5892476Z 60 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.5892481Z 2022-11-23T01:30:36.5892569Z 2786 62 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5892660Z 64 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5892751Z 66 LOAD_ATTR 4 (ones) 2022-11-23T01:30:36.5892838Z 68 LOAD_CONST 4 (8) 2022-11-23T01:30:36.5892915Z 70 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5893005Z 72 LOAD_ATTR 3 (device) 2022-11-23T01:30:36.5893154Z 74 LOAD_CONST 9 (('device',)) 2022-11-23T01:30:36.5893244Z 76 CALL_FUNCTION_KW 2 2022-11-23T01:30:36.5893318Z 78 BINARY_ADD 2022-11-23T01:30:36.5893323Z 2022-11-23T01:30:36.5893412Z 2787 80 LOAD_GLOBAL 0 (torch) 2022-11-23T01:30:36.5893501Z 82 LOAD_ATTR 5 (full) 2022-11-23T01:30:36.5893609Z 84 LOAD_CONST 10 ((2, 3)) 2022-11-23T01:30:36.5893699Z 86 LOAD_CONST 11 (3.1416) 2022-11-23T01:30:36.5893786Z 88 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5893878Z 90 LOAD_ATTR 3 (device) 2022-11-23T01:30:36.5894027Z 92 LOAD_CONST 9 (('device',)) 2022-11-23T01:30:36.5894121Z 94 CALL_FUNCTION_KW 3 2022-11-23T01:30:36.5894152Z 2022-11-23T01:30:36.5894240Z 2770 96 BUILD_TUPLE 6 2022-11-23T01:30:36.5894317Z 98 RETURN_VALUE 2022-11-23T01:30:36.5894365Z 2022-11-23T01:30:36.5894370Z 2022-11-23T01:30:36.5894689Z [2022-11-23 01:29:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2771 2022-11-23T01:30:36.5894900Z [2022-11-23 01:29:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.5895143Z [2022-11-23 01:29:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:30:36.5895423Z [2022-11-23 01:29:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5895733Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772 2022-11-23T01:30:36.5895980Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:30:36.5896380Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5896692Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2773 2022-11-23T01:30:36.5897059Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5897359Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2774 2022-11-23T01:30:36.5897762Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.5898317Z [2022-11-23 01:29:15,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(), ConstantVariable(tuple), TorchVariable()] 2022-11-23T01:30:36.5898633Z [2022-11-23 01:29:15,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2775 2022-11-23T01:30:36.5899067Z [2022-11-23 01:29:15,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype)] 2022-11-23T01:30:36.5899536Z [2022-11-23 01:29:15,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:30:36.5899849Z [2022-11-23 01:29:15,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772 2022-11-23T01:30:36.5900397Z [2022-11-23 01:29:15,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:30:36.5900917Z [2022-11-23 01:29:15,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.5901228Z [2022-11-23 01:29:15,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777 2022-11-23T01:30:36.5901533Z [2022-11-23 01:29:15,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5901957Z [2022-11-23 01:29:15,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5902272Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2778 2022-11-23T01:30:36.5902653Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5902962Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2779 2022-11-23T01:30:36.5903386Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5903684Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2780 2022-11-23T01:30:36.5904141Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.5904453Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2781 2022-11-23T01:30:36.5904948Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.5905260Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2782 2022-11-23T01:30:36.5905793Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.5906480Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable()] 2022-11-23T01:30:36.5906793Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2783 2022-11-23T01:30:36.5907378Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:30:36.5907988Z [2022-11-23 01:29:15,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:30:36.5908347Z [2022-11-23 01:29:15,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777 2022-11-23T01:30:36.5908976Z [2022-11-23 01:29:15,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:30:36.5909634Z [2022-11-23 01:29:15,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.5909943Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2785 2022-11-23T01:30:36.5910248Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5910701Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5911113Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5911562Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5912057Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:30:36.5912598Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:30:36.5913180Z [2022-11-23 01:29:15,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:30:36.5913492Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2786 2022-11-23T01:30:36.5913799Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5914154Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5914695Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5915156Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5915686Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:30:36.5916230Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:30:36.5916776Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:30:36.5917360Z [2022-11-23 01:29:15,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.5917744Z [2022-11-23 01:29:15,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5918059Z [2022-11-23 01:29:15,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2787 2022-11-23T01:30:36.5918411Z [2022-11-23 01:29:15,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5918915Z [2022-11-23 01:29:15,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5919381Z [2022-11-23 01:29:15,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:30:36.5919891Z [2022-11-23 01:29:15,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple)] 2022-11-23T01:30:36.5920519Z [2022-11-23 01:29:15,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float)] 2022-11-23T01:30:36.5921105Z [2022-11-23 01:29:15,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()] 2022-11-23T01:30:36.5921726Z [2022-11-23 01:29:15,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu)] 2022-11-23T01:30:36.5922355Z [2022-11-23 01:29:15,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:30:36.5922709Z [2022-11-23 01:29:15,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2770 2022-11-23T01:30:36.5923101Z [2022-11-23 01:29:15,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5923351Z [2022-11-23 01:29:15,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5923727Z [2022-11-23 01:29:15,429] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5923976Z [2022-11-23 01:29:15,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5924199Z [2022-11-23 01:29:15,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5924454Z [2022-11-23 01:29:15,431] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5924702Z [2022-11-23 01:29:15,437] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5925060Z [2022-11-23 01:29:15,437] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5925196Z __compiled_fn_460 .3579 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5925286Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5925465Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:30:36.5925783Z call_function, zeros, , ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cpu')} 2022-11-23T01:30:36.5926092Z call_function, zeros_1, , (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cpu')} 2022-11-23T01:30:36.5926340Z call_function, zeros_2, , (2, 3), {'names': None} 2022-11-23T01:30:36.5926602Z call_function, ones, , (8,), {'device': device(type='cpu')} 2022-11-23T01:30:36.5926783Z call_function, add_1, , (ex_0_, ones), {} 2022-11-23T01:30:36.5927056Z call_function, full, , ((2, 3), 3.1416), {'device': device(type='cpu')} 2022-11-23T01:30:36.5927194Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {} 2022-11-23T01:30:36.5927201Z 2022-11-23T01:30:36.5927527Z [2022-11-23 01:29:15,438] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5927623Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5927714Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5927788Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5927883Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5927969Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5928058Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5928134Z 12 RETURN_VALUE 2022-11-23T01:30:36.5928188Z 2022-11-23T01:30:36.5928251Z 2022-11-23T01:30:36.5928580Z [2022-11-23 01:29:15,438] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5928690Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_460) 2022-11-23T01:30:36.5928768Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5928860Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5928981Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5929073Z 8 CALL_FUNCTION 1 2022-11-23T01:30:36.5929178Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5929278Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5929367Z 14 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5929432Z 16 BINARY_SUBSCR 2022-11-23T01:30:36.5929533Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5929623Z 20 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5929699Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.5929798Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5929884Z 26 LOAD_CONST 3 (2) 2022-11-23T01:30:36.5929960Z 28 BINARY_SUBSCR 2022-11-23T01:30:36.5930047Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5930137Z 32 LOAD_CONST 4 (3) 2022-11-23T01:30:36.5930212Z 34 BINARY_SUBSCR 2022-11-23T01:30:36.5930310Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5930401Z 38 LOAD_CONST 5 (4) 2022-11-23T01:30:36.5930478Z 40 BINARY_SUBSCR 2022-11-23T01:30:36.5930578Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5930653Z 44 LOAD_CONST 6 (5) 2022-11-23T01:30:36.5930732Z 46 BINARY_SUBSCR 2022-11-23T01:30:36.5930822Z 48 BUILD_TUPLE 6 2022-11-23T01:30:36.5930898Z 50 RETURN_VALUE 2022-11-23T01:30:36.5930903Z 2022-11-23T01:30:36.5930964Z 2022-11-23T01:30:36.5931150Z [2022-11-23 01:29:15,439] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5931221Z - 2022-11-23T01:30:36.5931338Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5931389Z { 2022-11-23T01:30:36.5931532Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5931718Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 1'], 2022-11-23T01:30:36.5931838Z 'obj_weakref': None 2022-11-23T01:30:36.5932061Z 'guarded_class': 2022-11-23T01:30:36.5932126Z } 2022-11-23T01:30:36.5932189Z 2022-11-23T01:30:36.5932244Z - 2022-11-23T01:30:36.5932366Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:30:36.5932433Z { 2022-11-23T01:30:36.5932572Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:30:36.5932739Z 'code': ['___check_type_id(ex[0], 94427334228720)'], 2022-11-23T01:30:36.5932953Z 'obj_weakref': 2022-11-23T01:30:36.5933205Z 'guarded_class': 2022-11-23T01:30:36.5933257Z } 2022-11-23T01:30:36.5933320Z 2022-11-23T01:30:36.5933388Z - 2022-11-23T01:30:36.5933510Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5933572Z { 2022-11-23T01:30:36.5933713Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5933819Z 'code': None, 2022-11-23T01:30:36.5934015Z 'obj_weakref': 2022-11-23T01:30:36.5934296Z 'guarded_class': 2022-11-23T01:30:36.5934362Z } 2022-11-23T01:30:36.5934425Z 2022-11-23T01:30:36.5934495Z - 2022-11-23T01:30:36.5934625Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5934690Z { 2022-11-23T01:30:36.5934812Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5934981Z 'code': ['___check_obj_id(model, 140534431826992)'], 2022-11-23T01:30:36.5935129Z 'obj_weakref': None 2022-11-23T01:30:36.5935358Z 'guarded_class': 2022-11-23T01:30:36.5935421Z } 2022-11-23T01:30:36.5935484Z 2022-11-23T01:30:36.5935552Z - 2022-11-23T01:30:36.5935659Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5935723Z { 2022-11-23T01:30:36.5935858Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5936075Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5936194Z 'obj_weakref': None 2022-11-23T01:30:36.5936417Z 'guarded_class': 2022-11-23T01:30:36.5936483Z } 2022-11-23T01:30:36.5936533Z 2022-11-23T01:30:36.5936602Z - 2022-11-23T01:30:36.5936735Z global 'torch' FUNCTION_MATCH 2022-11-23T01:30:36.5936802Z { 2022-11-23T01:30:36.5936923Z 'guard_types': None, 2022-11-23T01:30:36.5937028Z 'code': None, 2022-11-23T01:30:36.5937145Z 'obj_weakref': None 2022-11-23T01:30:36.5937254Z 'guarded_class': None 2022-11-23T01:30:36.5937316Z } 2022-11-23T01:30:36.5937377Z 2022-11-23T01:30:36.5937445Z - 2022-11-23T01:30:36.5937593Z global 'torch.float32' CONSTANT_MATCH 2022-11-23T01:30:36.5937655Z { 2022-11-23T01:30:36.5937786Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:30:36.5937959Z 'code': ["str(torch.float32) == 'torch.float32'"], 2022-11-23T01:30:36.5938076Z 'obj_weakref': None 2022-11-23T01:30:36.5938299Z 'guarded_class': 2022-11-23T01:30:36.5938363Z } 2022-11-23T01:30:36.5938428Z 2022-11-23T01:30:36.5938689Z [2022-11-23 01:29:15,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 452 2022-11-23T01:30:36.5939053Z [2022-11-23 01:29:17,065] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eq/ceqos5edv74qk47hfcq4cgnxhgqfym754ycyocrgfbk2lyzljzrl.py 2022-11-23T01:30:36.5939303Z [2022-11-23 01:29:17,065] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 452 2022-11-23T01:30:36.5939321Z 2022-11-23T01:30:36.5939401Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5939469Z import torch 2022-11-23T01:30:36.5939539Z import random 2022-11-23T01:30:36.5939654Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5939774Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5939779Z 2022-11-23T01:30:36.5939857Z aten = torch.ops.aten 2022-11-23T01:30:36.5939991Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5940071Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5940078Z 2022-11-23T01:30:36.5940082Z 2022-11-23T01:30:36.5940218Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5940422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5940542Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5940641Z float* __restrict__ out_ptr0, 2022-11-23T01:30:36.5940738Z float* __restrict__ out_ptr1, 2022-11-23T01:30:36.5940832Z float* __restrict__ out_ptr2, 2022-11-23T01:30:36.5940953Z float* __restrict__ out_ptr3, 2022-11-23T01:30:36.5941033Z float* __restrict__ out_ptr4, 2022-11-23T01:30:36.5941127Z float* __restrict__ out_ptr5) 2022-11-23T01:30:36.5941187Z { 2022-11-23T01:30:36.5941286Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5941347Z { 2022-11-23T01:30:36.5941424Z #pragma omp for 2022-11-23T01:30:36.5941521Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.5941584Z { 2022-11-23T01:30:36.5941733Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5941866Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:30:36.5941952Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5942042Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5942132Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:30:36.5942195Z } 2022-11-23T01:30:36.5942277Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5942358Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:30:36.5942419Z { 2022-11-23T01:30:36.5942503Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5942602Z auto tmp1 = static_cast(1); 2022-11-23T01:30:36.5942685Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5942764Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5942831Z out_ptr1[i0] = tmp2; 2022-11-23T01:30:36.5942898Z } 2022-11-23T01:30:36.5942978Z #pragma omp for 2022-11-23T01:30:36.5943061Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:30:36.5943123Z { 2022-11-23T01:30:36.5943255Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:30:36.5943344Z tmp0.store(out_ptr2 + 8*i0); 2022-11-23T01:30:36.5943394Z } 2022-11-23T01:30:36.5943487Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5943577Z for(long i0=32768; i0<32768; i0+=1) 2022-11-23T01:30:36.5943641Z { 2022-11-23T01:30:36.5943738Z auto tmp0 = static_cast(0); 2022-11-23T01:30:36.5943818Z out_ptr2[i0] = tmp0; 2022-11-23T01:30:36.5943866Z } 2022-11-23T01:30:36.5943941Z #pragma omp for 2022-11-23T01:30:36.5944021Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:30:36.5944082Z { 2022-11-23T01:30:36.5944214Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:30:36.5944307Z tmp0.store(out_ptr3 + 8*i0); 2022-11-23T01:30:36.5944370Z } 2022-11-23T01:30:36.5944451Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5944539Z for(long i0=32768; i0<32768; i0+=1) 2022-11-23T01:30:36.5944601Z { 2022-11-23T01:30:36.5944696Z auto tmp0 = static_cast(0); 2022-11-23T01:30:36.5944776Z out_ptr3[i0] = tmp0; 2022-11-23T01:30:36.5944837Z } 2022-11-23T01:30:36.5944911Z #pragma omp for 2022-11-23T01:30:36.5944980Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:36.5945043Z { 2022-11-23T01:30:36.5945106Z { 2022-11-23T01:30:36.5945173Z { 2022-11-23T01:30:36.5945275Z auto tmp0 = static_cast(0); 2022-11-23T01:30:36.5945360Z out_ptr4[i0] = tmp0; 2022-11-23T01:30:36.5945426Z } 2022-11-23T01:30:36.5945477Z } 2022-11-23T01:30:36.5945538Z } 2022-11-23T01:30:36.5945616Z #pragma omp for 2022-11-23T01:30:36.5945695Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:30:36.5945756Z { 2022-11-23T01:30:36.5945820Z { 2022-11-23T01:30:36.5945870Z { 2022-11-23T01:30:36.5945977Z auto tmp0 = static_cast(3.1416); 2022-11-23T01:30:36.5946064Z out_ptr5[i0] = tmp0; 2022-11-23T01:30:36.5946127Z } 2022-11-23T01:30:36.5946190Z } 2022-11-23T01:30:36.5946252Z } 2022-11-23T01:30:36.5946315Z } 2022-11-23T01:30:36.5946391Z } 2022-11-23T01:30:36.5946477Z ''') 2022-11-23T01:30:36.5946482Z 2022-11-23T01:30:36.5946487Z 2022-11-23T01:30:36.5946577Z async_compile.wait(globals()) 2022-11-23T01:30:36.5946647Z del async_compile 2022-11-23T01:30:36.5946651Z 2022-11-23T01:30:36.5946721Z def call(args): 2022-11-23T01:30:36.5946790Z arg0_1, = args 2022-11-23T01:30:36.5946860Z args.clear() 2022-11-23T01:30:36.5947041Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5947260Z buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5947480Z buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5947696Z buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5947887Z buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5948078Z buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5948340Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:30:36.5948409Z del arg0_1 2022-11-23T01:30:36.5948510Z return (buf0, buf1, buf2, buf3, buf4, buf5, ) 2022-11-23T01:30:36.5948515Z 2022-11-23T01:30:36.5948522Z 2022-11-23T01:30:36.5948586Z if __name__ == "__main__": 2022-11-23T01:30:36.5948700Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5948821Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5949009Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5949116Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:30:36.5949120Z 2022-11-23T01:30:36.5949187Z ok (1.656s) 2022-11-23T01:30:36.5949541Z test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5949866Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5950082Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5950323Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5950601Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5950921Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5951270Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5951590Z [2022-11-23 01:29:17,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5951974Z [2022-11-23 01:29:17,074] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5952070Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5952160Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.5952233Z 4 BINARY_ADD 2022-11-23T01:30:36.5952309Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.5952385Z 8 RETURN_VALUE 2022-11-23T01:30:36.5952445Z 2022-11-23T01:30:36.5952449Z 2022-11-23T01:30:36.5952789Z [2022-11-23 01:29:17,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.5953002Z [2022-11-23 01:29:17,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.5953240Z [2022-11-23 01:29:17,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.5953512Z [2022-11-23 01:29:17,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5953790Z [2022-11-23 01:29:17,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5954034Z [2022-11-23 01:29:17,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5954407Z [2022-11-23 01:29:17,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5954650Z [2022-11-23 01:29:17,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5954884Z [2022-11-23 01:29:17,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5955136Z [2022-11-23 01:29:17,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5955386Z [2022-11-23 01:29:17,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5955576Z [2022-11-23 01:29:17,079] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5955710Z __compiled_fn_461 .3585 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5955800Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5955874Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5956056Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.5956149Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5956154Z 2022-11-23T01:30:36.5956483Z [2022-11-23 01:29:17,079] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5956577Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5956668Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5956756Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5956851Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5956957Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5957071Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5957176Z 12 RETURN_VALUE 2022-11-23T01:30:36.5957185Z 2022-11-23T01:30:36.5957272Z 2022-11-23T01:30:36.5957610Z [2022-11-23 01:29:17,079] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5957720Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_461) 2022-11-23T01:30:36.5957812Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5957943Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5958037Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5958167Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5958284Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5958384Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5958508Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5958620Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5958719Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5958794Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5958870Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.5958958Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.5959034Z 26 RETURN_VALUE 2022-11-23T01:30:36.5959039Z 2022-11-23T01:30:36.5959103Z 2022-11-23T01:30:36.5959334Z [2022-11-23 01:29:17,080] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5959406Z - 2022-11-23T01:30:36.5959512Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5959586Z { 2022-11-23T01:30:36.5959730Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5959917Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5960104Z 'obj_weakref': None 2022-11-23T01:30:36.5960396Z 'guarded_class': 2022-11-23T01:30:36.5960471Z } 2022-11-23T01:30:36.5960534Z 2022-11-23T01:30:36.5960590Z - 2022-11-23T01:30:36.5960713Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5960777Z { 2022-11-23T01:30:36.5960923Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5961031Z 'code': None, 2022-11-23T01:30:36.5961252Z 'obj_weakref': 2022-11-23T01:30:36.5961510Z 'guarded_class': 2022-11-23T01:30:36.5961576Z } 2022-11-23T01:30:36.5961626Z 2022-11-23T01:30:36.5961697Z - 2022-11-23T01:30:36.5961820Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5961884Z { 2022-11-23T01:30:36.5962026Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5962135Z 'code': None, 2022-11-23T01:30:36.5962331Z 'obj_weakref': 2022-11-23T01:30:36.5962580Z 'guarded_class': 2022-11-23T01:30:36.5962642Z } 2022-11-23T01:30:36.5962706Z 2022-11-23T01:30:36.5962775Z - 2022-11-23T01:30:36.5962910Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5962972Z { 2022-11-23T01:30:36.5963094Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5963263Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.5963401Z 'obj_weakref': None 2022-11-23T01:30:36.5963635Z 'guarded_class': 2022-11-23T01:30:36.5963703Z } 2022-11-23T01:30:36.5963768Z 2022-11-23T01:30:36.5963844Z - 2022-11-23T01:30:36.5963972Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5964022Z { 2022-11-23T01:30:36.5964161Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5964378Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5964519Z 'obj_weakref': None 2022-11-23T01:30:36.5964851Z 'guarded_class': 2022-11-23T01:30:36.5964977Z } 2022-11-23T01:30:36.5965044Z 2022-11-23T01:30:36.5965299Z [2022-11-23 01:29:17,085] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 453 2022-11-23T01:30:36.5965671Z [2022-11-23 01:29:17,092] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ho/chon7xg2dlbfc4extfkgfymo5ffc2ozhgzksvoejr6diay5o7nq4.py 2022-11-23T01:30:36.5965940Z [2022-11-23 01:29:17,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 453 2022-11-23T01:30:36.5965948Z 2022-11-23T01:30:36.5966046Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5966117Z import torch 2022-11-23T01:30:36.5966189Z import random 2022-11-23T01:30:36.5966305Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5966426Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5966431Z 2022-11-23T01:30:36.5966511Z aten = torch.ops.aten 2022-11-23T01:30:36.5966692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5966789Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5966794Z 2022-11-23T01:30:36.5966798Z 2022-11-23T01:30:36.5966933Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5967139Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5967258Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5967364Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5967501Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5967563Z { 2022-11-23T01:30:36.5967648Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5967710Z { 2022-11-23T01:30:36.5967787Z #pragma omp for 2022-11-23T01:30:36.5967871Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.5967938Z { 2022-11-23T01:30:36.5968079Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.5968212Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.5968286Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5968377Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.5968439Z } 2022-11-23T01:30:36.5968533Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.5968614Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.5968674Z { 2022-11-23T01:30:36.5968760Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.5968831Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5968914Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5968995Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.5969058Z } 2022-11-23T01:30:36.5969120Z } 2022-11-23T01:30:36.5969180Z } 2022-11-23T01:30:36.5969247Z ''') 2022-11-23T01:30:36.5969253Z 2022-11-23T01:30:36.5969270Z 2022-11-23T01:30:36.5969346Z async_compile.wait(globals()) 2022-11-23T01:30:36.5969419Z del async_compile 2022-11-23T01:30:36.5969423Z 2022-11-23T01:30:36.5969497Z def call(args): 2022-11-23T01:30:36.5969574Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5969644Z args.clear() 2022-11-23T01:30:36.5969832Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5969995Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5970063Z del arg0_1 2022-11-23T01:30:36.5970130Z del arg1_1 2022-11-23T01:30:36.5970203Z return (buf0, ) 2022-11-23T01:30:36.5970208Z 2022-11-23T01:30:36.5970212Z 2022-11-23T01:30:36.5970286Z if __name__ == "__main__": 2022-11-23T01:30:36.5970401Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5970510Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5970705Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5970892Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5971008Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5971012Z 2022-11-23T01:30:36.5971078Z ok (0.024s) 2022-11-23T01:30:36.5971431Z test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5971750Z [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5971969Z [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5972219Z [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5972482Z [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5972829Z [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5973179Z [2022-11-23 01:29:17,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5973500Z [2022-11-23 01:29:17,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5973914Z [2022-11-23 01:29:17,097] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5974009Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5974099Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.5974171Z 4 BINARY_ADD 2022-11-23T01:30:36.5974259Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.5974323Z 8 RETURN_VALUE 2022-11-23T01:30:36.5974387Z 2022-11-23T01:30:36.5974391Z 2022-11-23T01:30:36.5974704Z [2022-11-23 01:29:17,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.5974914Z [2022-11-23 01:29:17,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.5975150Z [2022-11-23 01:29:17,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.5975428Z [2022-11-23 01:29:17,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5975669Z [2022-11-23 01:29:17,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5975913Z [2022-11-23 01:29:17,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5976299Z [2022-11-23 01:29:17,098] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5976531Z [2022-11-23 01:29:17,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5976768Z [2022-11-23 01:29:17,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5977023Z [2022-11-23 01:29:17,099] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5977271Z [2022-11-23 01:29:17,102] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5977462Z [2022-11-23 01:29:17,102] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5977595Z __compiled_fn_462 .3591 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5977682Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5977767Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5977934Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.5978028Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5978034Z 2022-11-23T01:30:36.5978357Z [2022-11-23 01:29:17,102] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5978451Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.5978543Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5978630Z 4 BUILD_MAP 0 2022-11-23T01:30:36.5978723Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.5978808Z 8 DICT_MERGE 1 2022-11-23T01:30:36.5978882Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.5978957Z 12 RETURN_VALUE 2022-11-23T01:30:36.5978962Z 2022-11-23T01:30:36.5979021Z 2022-11-23T01:30:36.5979382Z [2022-11-23 01:29:17,102] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.5979497Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_462) 2022-11-23T01:30:36.5979586Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5979676Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5979751Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.5979830Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.5979951Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.5980027Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.5980114Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.5980219Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5980320Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.5980407Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.5980470Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.5980559Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.5980635Z 26 RETURN_VALUE 2022-11-23T01:30:36.5980640Z 2022-11-23T01:30:36.5980701Z 2022-11-23T01:30:36.5980884Z [2022-11-23 01:29:17,103] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.5980954Z - 2022-11-23T01:30:36.5981074Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.5981126Z { 2022-11-23T01:30:36.5981264Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.5981452Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.5981571Z 'obj_weakref': None 2022-11-23T01:30:36.5981794Z 'guarded_class': 2022-11-23T01:30:36.5981860Z } 2022-11-23T01:30:36.5981924Z 2022-11-23T01:30:36.5981980Z - 2022-11-23T01:30:36.5982103Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.5982170Z { 2022-11-23T01:30:36.5982316Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5982423Z 'code': None, 2022-11-23T01:30:36.5982635Z 'obj_weakref': 2022-11-23T01:30:36.5982890Z 'guarded_class': 2022-11-23T01:30:36.5982942Z } 2022-11-23T01:30:36.5983005Z 2022-11-23T01:30:36.5983077Z - 2022-11-23T01:30:36.5983201Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.5983264Z { 2022-11-23T01:30:36.5983408Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.5983516Z 'code': None, 2022-11-23T01:30:36.5983714Z 'obj_weakref': 2022-11-23T01:30:36.5983968Z 'guarded_class': 2022-11-23T01:30:36.5984035Z } 2022-11-23T01:30:36.5984100Z 2022-11-23T01:30:36.5984173Z - 2022-11-23T01:30:36.5984302Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.5984365Z { 2022-11-23T01:30:36.5984487Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.5984661Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.5984779Z 'obj_weakref': None 2022-11-23T01:30:36.5985013Z 'guarded_class': 2022-11-23T01:30:36.5985080Z } 2022-11-23T01:30:36.5985145Z 2022-11-23T01:30:36.5985216Z - 2022-11-23T01:30:36.5985327Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.5985392Z { 2022-11-23T01:30:36.5985533Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.5985754Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.5985907Z 'obj_weakref': None 2022-11-23T01:30:36.5986129Z 'guarded_class': 2022-11-23T01:30:36.5986193Z } 2022-11-23T01:30:36.5986243Z 2022-11-23T01:30:36.5986506Z [2022-11-23 01:29:17,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 454 2022-11-23T01:30:36.5986880Z [2022-11-23 01:29:18,525] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmqs5ydqd5cdlalg2bcxjoy6gkarm7wypzdbsukfn3jubhnuyp7.py 2022-11-23T01:30:36.5987177Z [2022-11-23 01:29:18,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 454 2022-11-23T01:30:36.5987182Z 2022-11-23T01:30:36.5987279Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.5987352Z import torch 2022-11-23T01:30:36.5987422Z import random 2022-11-23T01:30:36.5987538Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.5987649Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.5987667Z 2022-11-23T01:30:36.5987732Z aten = torch.ops.aten 2022-11-23T01:30:36.5987864Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.5987956Z async_compile = AsyncCompile() 2022-11-23T01:30:36.5987961Z 2022-11-23T01:30:36.5987965Z 2022-11-23T01:30:36.5988101Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.5988306Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.5988427Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.5988531Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.5988631Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.5988680Z { 2022-11-23T01:30:36.5988778Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.5988843Z { 2022-11-23T01:30:36.5988922Z #pragma omp for 2022-11-23T01:30:36.5989006Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.5989070Z { 2022-11-23T01:30:36.5989141Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.5989205Z { 2022-11-23T01:30:36.5989344Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i1); 2022-11-23T01:30:36.5989474Z auto tmp1 = at::vec::Vectorized(in_ptr1[i0]); 2022-11-23T01:30:36.5989568Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5989676Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.5989743Z } 2022-11-23T01:30:36.5989824Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.5989909Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.5989972Z { 2022-11-23T01:30:36.5990058Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.5990141Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.5990226Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.5990323Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.5990373Z } 2022-11-23T01:30:36.5990437Z } 2022-11-23T01:30:36.5990497Z } 2022-11-23T01:30:36.5990556Z } 2022-11-23T01:30:36.5990635Z ''') 2022-11-23T01:30:36.5990639Z 2022-11-23T01:30:36.5990643Z 2022-11-23T01:30:36.5990735Z async_compile.wait(globals()) 2022-11-23T01:30:36.5990808Z del async_compile 2022-11-23T01:30:36.5990813Z 2022-11-23T01:30:36.5990883Z def call(args): 2022-11-23T01:30:36.5990948Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.5991018Z args.clear() 2022-11-23T01:30:36.5991232Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5991395Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.5991464Z del arg0_1 2022-11-23T01:30:36.5991530Z del arg1_1 2022-11-23T01:30:36.5991601Z return (buf0, ) 2022-11-23T01:30:36.5991605Z 2022-11-23T01:30:36.5991609Z 2022-11-23T01:30:36.5991702Z if __name__ == "__main__": 2022-11-23T01:30:36.5991820Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.5991944Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.5992139Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5992344Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.5992457Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.5992493Z 2022-11-23T01:30:36.5992562Z ok (1.434s) 2022-11-23T01:30:36.5992919Z test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.5993225Z [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.5993448Z [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.5993703Z [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.5993985Z [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.5994304Z [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5994651Z [2022-11-23 01:29:18,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5994973Z [2022-11-23 01:29:18,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.5995359Z [2022-11-23 01:29:18,531] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.5995450Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.5995540Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.5995600Z 4 BINARY_ADD 2022-11-23T01:30:36.5995690Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.5995766Z 8 RETURN_VALUE 2022-11-23T01:30:36.5995828Z 2022-11-23T01:30:36.5995832Z 2022-11-23T01:30:36.5996149Z [2022-11-23 01:29:18,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.5996360Z [2022-11-23 01:29:18,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.5996597Z [2022-11-23 01:29:18,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.5996877Z [2022-11-23 01:29:18,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.5997104Z [2022-11-23 01:29:18,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.5997348Z [2022-11-23 01:29:18,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5997732Z [2022-11-23 01:29:18,532] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.5997982Z [2022-11-23 01:29:18,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.5998215Z [2022-11-23 01:29:18,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.5998470Z [2022-11-23 01:29:18,533] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.5998746Z [2022-11-23 01:29:18,536] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.5998935Z [2022-11-23 01:29:18,536] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.5999068Z __compiled_fn_463 .3597 opcode, name, target, args, kwargs 2022-11-23T01:30:36.5999147Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.5999233Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.5999409Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.5999570Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.5999576Z 2022-11-23T01:30:36.5999901Z [2022-11-23 01:29:18,536] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6000080Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6000174Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6000262Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6000345Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6000430Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6000519Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6000594Z 12 RETURN_VALUE 2022-11-23T01:30:36.6000599Z 2022-11-23T01:30:36.6000659Z 2022-11-23T01:30:36.6000987Z [2022-11-23 01:29:18,536] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6001096Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_463) 2022-11-23T01:30:36.6001187Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6001264Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6001342Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6001430Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6001518Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6001594Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6001683Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6001786Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6001873Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6001960Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6002034Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6002120Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6002196Z 26 RETURN_VALUE 2022-11-23T01:30:36.6002202Z 2022-11-23T01:30:36.6002262Z 2022-11-23T01:30:36.6002448Z [2022-11-23 01:29:18,537] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6002505Z - 2022-11-23T01:30:36.6002623Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6002686Z { 2022-11-23T01:30:36.6002825Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6003011Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6003133Z 'obj_weakref': None 2022-11-23T01:30:36.6003361Z 'guarded_class': 2022-11-23T01:30:36.6003425Z } 2022-11-23T01:30:36.6003476Z 2022-11-23T01:30:36.6003546Z - 2022-11-23T01:30:36.6003670Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6003732Z { 2022-11-23T01:30:36.6003873Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6003979Z 'code': None, 2022-11-23T01:30:36.6004178Z 'obj_weakref': 2022-11-23T01:30:36.6004432Z 'guarded_class': 2022-11-23T01:30:36.6004494Z } 2022-11-23T01:30:36.6004557Z 2022-11-23T01:30:36.6004625Z - 2022-11-23T01:30:36.6004842Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6004973Z { 2022-11-23T01:30:36.6005107Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6005213Z 'code': None, 2022-11-23T01:30:36.6005421Z 'obj_weakref': 2022-11-23T01:30:36.6005675Z 'guarded_class': 2022-11-23T01:30:36.6005739Z } 2022-11-23T01:30:36.6005841Z 2022-11-23T01:30:36.6005911Z - 2022-11-23T01:30:36.6006027Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6006090Z { 2022-11-23T01:30:36.6006226Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6006397Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6006514Z 'obj_weakref': None 2022-11-23T01:30:36.6006744Z 'guarded_class': 2022-11-23T01:30:36.6006809Z } 2022-11-23T01:30:36.6006859Z 2022-11-23T01:30:36.6006927Z - 2022-11-23T01:30:36.6007047Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6007110Z { 2022-11-23T01:30:36.6007244Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6007459Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6007582Z 'obj_weakref': None 2022-11-23T01:30:36.6007792Z 'guarded_class': 2022-11-23T01:30:36.6007856Z } 2022-11-23T01:30:36.6007921Z 2022-11-23T01:30:36.6008183Z [2022-11-23 01:29:18,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 455 2022-11-23T01:30:36.6008557Z [2022-11-23 01:29:19,982] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bs/cbswec4tfiyssusfsadazkizrluwkqqzxsrvfsi7ktd3apzfesyt.py 2022-11-23T01:30:36.6008939Z [2022-11-23 01:29:19,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 455 2022-11-23T01:30:36.6008945Z 2022-11-23T01:30:36.6009043Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6009111Z import torch 2022-11-23T01:30:36.6009168Z import random 2022-11-23T01:30:36.6009284Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6009403Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6009410Z 2022-11-23T01:30:36.6009489Z aten = torch.ops.aten 2022-11-23T01:30:36.6009623Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6009714Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6009719Z 2022-11-23T01:30:36.6009723Z 2022-11-23T01:30:36.6009858Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6010060Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6010179Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6010271Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6010370Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6010430Z { 2022-11-23T01:30:36.6010526Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6010588Z { 2022-11-23T01:30:36.6010663Z #pragma omp for 2022-11-23T01:30:36.6010732Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.6010797Z { 2022-11-23T01:30:36.6010936Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.6011057Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:36.6011143Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6011234Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6011296Z } 2022-11-23T01:30:36.6011393Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6011463Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.6011560Z { 2022-11-23T01:30:36.6011644Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6011724Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.6011808Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6011888Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6011937Z } 2022-11-23T01:30:36.6011997Z } 2022-11-23T01:30:36.6012055Z } 2022-11-23T01:30:36.6012132Z ''') 2022-11-23T01:30:36.6012136Z 2022-11-23T01:30:36.6012167Z 2022-11-23T01:30:36.6012257Z async_compile.wait(globals()) 2022-11-23T01:30:36.6012329Z del async_compile 2022-11-23T01:30:36.6012334Z 2022-11-23T01:30:36.6012402Z def call(args): 2022-11-23T01:30:36.6012475Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6012533Z args.clear() 2022-11-23T01:30:36.6012727Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6012890Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6012960Z del arg0_1 2022-11-23T01:30:36.6013027Z del arg1_1 2022-11-23T01:30:36.6013097Z return (buf0, ) 2022-11-23T01:30:36.6013102Z 2022-11-23T01:30:36.6013107Z 2022-11-23T01:30:36.6013182Z if __name__ == "__main__": 2022-11-23T01:30:36.6013282Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6013404Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6013596Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6013788Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6013903Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6013907Z 2022-11-23T01:30:36.6013973Z ok (1.457s) 2022-11-23T01:30:36.6014317Z test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6014634Z [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6014850Z [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6015093Z [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6015372Z [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6015692Z [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6016037Z [2022-11-23 01:29:19,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6016364Z [2022-11-23 01:29:19,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6016744Z [2022-11-23 01:29:19,988] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6016835Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6016925Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6017001Z 4 BINARY_ADD 2022-11-23T01:30:36.6017078Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6017153Z 8 RETURN_VALUE 2022-11-23T01:30:36.6017213Z 2022-11-23T01:30:36.6017217Z 2022-11-23T01:30:36.6017532Z [2022-11-23 01:29:19,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6017741Z [2022-11-23 01:29:19,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6018006Z [2022-11-23 01:29:19,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6018279Z [2022-11-23 01:29:19,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6018520Z [2022-11-23 01:29:19,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6018765Z [2022-11-23 01:29:19,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6019168Z [2022-11-23 01:29:19,989] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6019412Z [2022-11-23 01:29:19,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6019645Z [2022-11-23 01:29:19,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6019900Z [2022-11-23 01:29:19,990] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6020150Z [2022-11-23 01:29:19,994] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6020336Z [2022-11-23 01:29:19,994] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6020471Z __compiled_fn_464 .3603 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6020562Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6020634Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6020810Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6020904Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6020909Z 2022-11-23T01:30:36.6021232Z [2022-11-23 01:29:19,995] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6021327Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6021417Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6021503Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6021595Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6021667Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6021754Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6021828Z 12 RETURN_VALUE 2022-11-23T01:30:36.6021835Z 2022-11-23T01:30:36.6021896Z 2022-11-23T01:30:36.6022221Z [2022-11-23 01:29:19,995] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6022328Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_464) 2022-11-23T01:30:36.6022417Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6022505Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6022568Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6022658Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6022745Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6022819Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6022905Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6023006Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6023107Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6023184Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6023260Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6023348Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6023424Z 26 RETURN_VALUE 2022-11-23T01:30:36.6023428Z 2022-11-23T01:30:36.6023488Z 2022-11-23T01:30:36.6023672Z [2022-11-23 01:29:19,996] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6023742Z - 2022-11-23T01:30:36.6023849Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6023916Z { 2022-11-23T01:30:36.6024083Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6024271Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6024390Z 'obj_weakref': None 2022-11-23T01:30:36.6024614Z 'guarded_class': 2022-11-23T01:30:36.6024679Z } 2022-11-23T01:30:36.6024729Z 2022-11-23T01:30:36.6024824Z - 2022-11-23T01:30:36.6024948Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6025012Z { 2022-11-23T01:30:36.6025153Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6025258Z 'code': None, 2022-11-23T01:30:36.6025468Z 'obj_weakref': 2022-11-23T01:30:36.6025720Z 'guarded_class': 2022-11-23T01:30:36.6025775Z } 2022-11-23T01:30:36.6025838Z 2022-11-23T01:30:36.6025909Z - 2022-11-23T01:30:36.6026030Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6026093Z { 2022-11-23T01:30:36.6026234Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6026326Z 'code': None, 2022-11-23T01:30:36.6026534Z 'obj_weakref': 2022-11-23T01:30:36.6026788Z 'guarded_class': 2022-11-23T01:30:36.6026851Z } 2022-11-23T01:30:36.6026916Z 2022-11-23T01:30:36.6026983Z - 2022-11-23T01:30:36.6027113Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6027162Z { 2022-11-23T01:30:36.6027295Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6027460Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6027583Z 'obj_weakref': None 2022-11-23T01:30:36.6027812Z 'guarded_class': 2022-11-23T01:30:36.6027876Z } 2022-11-23T01:30:36.6027939Z 2022-11-23T01:30:36.6027995Z - 2022-11-23T01:30:36.6028115Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6028177Z { 2022-11-23T01:30:36.6028311Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6028528Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6028643Z 'obj_weakref': None 2022-11-23T01:30:36.6028865Z 'guarded_class': 2022-11-23T01:30:36.6028929Z } 2022-11-23T01:30:36.6028979Z 2022-11-23T01:30:36.6029239Z [2022-11-23 01:29:20,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 456 2022-11-23T01:30:36.6029607Z [2022-11-23 01:29:21,422] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n6/cn6jgemgitihk7fivjxhs44xom43wegd7l4xni2xf5c5nd74rxap.py 2022-11-23T01:30:36.6029872Z [2022-11-23 01:29:21,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 456 2022-11-23T01:30:36.6029877Z 2022-11-23T01:30:36.6029971Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6030043Z import torch 2022-11-23T01:30:36.6030113Z import random 2022-11-23T01:30:36.6030213Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6030332Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6030337Z 2022-11-23T01:30:36.6030415Z aten = torch.ops.aten 2022-11-23T01:30:36.6030551Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6030654Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6030661Z 2022-11-23T01:30:36.6030667Z 2022-11-23T01:30:36.6030901Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6031135Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6031257Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6031374Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6031508Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6031572Z { 2022-11-23T01:30:36.6031710Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6031773Z { 2022-11-23T01:30:36.6031850Z #pragma omp for 2022-11-23T01:30:36.6031934Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6031984Z { 2022-11-23T01:30:36.6032069Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6032131Z { 2022-11-23T01:30:36.6032269Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i1); 2022-11-23T01:30:36.6032411Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6032502Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6032606Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6032670Z } 2022-11-23T01:30:36.6032749Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6032832Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6032897Z { 2022-11-23T01:30:36.6032981Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6033079Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6033164Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6033254Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6033305Z } 2022-11-23T01:30:36.6033368Z } 2022-11-23T01:30:36.6033432Z } 2022-11-23T01:30:36.6033493Z } 2022-11-23T01:30:36.6033574Z ''') 2022-11-23T01:30:36.6033579Z 2022-11-23T01:30:36.6033583Z 2022-11-23T01:30:36.6033671Z async_compile.wait(globals()) 2022-11-23T01:30:36.6033742Z del async_compile 2022-11-23T01:30:36.6033749Z 2022-11-23T01:30:36.6033806Z def call(args): 2022-11-23T01:30:36.6033881Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6033950Z args.clear() 2022-11-23T01:30:36.6034147Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6034310Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6034377Z del arg0_1 2022-11-23T01:30:36.6034446Z del arg1_1 2022-11-23T01:30:36.6034505Z return (buf0, ) 2022-11-23T01:30:36.6034510Z 2022-11-23T01:30:36.6034528Z 2022-11-23T01:30:36.6034590Z if __name__ == "__main__": 2022-11-23T01:30:36.6034701Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6034825Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6035019Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6035218Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6035332Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6035337Z 2022-11-23T01:30:36.6035402Z ok (1.440s) 2022-11-23T01:30:36.6035737Z test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:21,427] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6036057Z [2022-11-23 01:29:21,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6036278Z [2022-11-23 01:29:21,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6036534Z [2022-11-23 01:29:21,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6036813Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6037162Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6037509Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6037827Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6038253Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6038345Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6038422Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6038496Z 4 BINARY_ADD 2022-11-23T01:30:36.6038584Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6038661Z 8 RETURN_VALUE 2022-11-23T01:30:36.6038721Z 2022-11-23T01:30:36.6038727Z 2022-11-23T01:30:36.6039040Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6039249Z [2022-11-23 01:29:21,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6039485Z [2022-11-23 01:29:21,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6039746Z [2022-11-23 01:29:21,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6040063Z [2022-11-23 01:29:21,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6040315Z [2022-11-23 01:29:21,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6040707Z [2022-11-23 01:29:21,430] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6040952Z [2022-11-23 01:29:21,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6041184Z [2022-11-23 01:29:21,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6041444Z [2022-11-23 01:29:21,431] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6041693Z [2022-11-23 01:29:21,433] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6041883Z [2022-11-23 01:29:21,433] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6042016Z __compiled_fn_465 .3609 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6042092Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6042181Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6042358Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6042452Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6042458Z 2022-11-23T01:30:36.6042783Z [2022-11-23 01:29:21,434] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6042877Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6042969Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6043056Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6043135Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6043220Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6043311Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6043386Z 12 RETURN_VALUE 2022-11-23T01:30:36.6043391Z 2022-11-23T01:30:36.6043451Z 2022-11-23T01:30:36.6043802Z [2022-11-23 01:29:21,434] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6043911Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_465) 2022-11-23T01:30:36.6043987Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6044076Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6044152Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6044283Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6044370Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6044444Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6044531Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6044621Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6044721Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6044926Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6045006Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6045095Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6045172Z 26 RETURN_VALUE 2022-11-23T01:30:36.6045177Z 2022-11-23T01:30:36.6045237Z 2022-11-23T01:30:36.6045423Z [2022-11-23 01:29:21,435] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6045481Z - 2022-11-23T01:30:36.6045601Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6045665Z { 2022-11-23T01:30:36.6045808Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6045993Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6046111Z 'obj_weakref': None 2022-11-23T01:30:36.6046338Z 'guarded_class': 2022-11-23T01:30:36.6046389Z } 2022-11-23T01:30:36.6046482Z 2022-11-23T01:30:36.6046550Z - 2022-11-23T01:30:36.6046673Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6046742Z { 2022-11-23T01:30:36.6046885Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6046989Z 'code': None, 2022-11-23T01:30:36.6047187Z 'obj_weakref': 2022-11-23T01:30:36.6047440Z 'guarded_class': 2022-11-23T01:30:36.6047505Z } 2022-11-23T01:30:36.6047567Z 2022-11-23T01:30:36.6047636Z - 2022-11-23T01:30:36.6047758Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6047820Z { 2022-11-23T01:30:36.6047946Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6048052Z 'code': None, 2022-11-23T01:30:36.6048260Z 'obj_weakref': 2022-11-23T01:30:36.6048512Z 'guarded_class': 2022-11-23T01:30:36.6048576Z } 2022-11-23T01:30:36.6048639Z 2022-11-23T01:30:36.6048706Z - 2022-11-23T01:30:36.6048822Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6048884Z { 2022-11-23T01:30:36.6049015Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6049185Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6049303Z 'obj_weakref': None 2022-11-23T01:30:36.6049531Z 'guarded_class': 2022-11-23T01:30:36.6049594Z } 2022-11-23T01:30:36.6049644Z 2022-11-23T01:30:36.6049712Z - 2022-11-23T01:30:36.6049834Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6049898Z { 2022-11-23T01:30:36.6050032Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6050296Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6050418Z 'obj_weakref': None 2022-11-23T01:30:36.6050628Z 'guarded_class': 2022-11-23T01:30:36.6050692Z } 2022-11-23T01:30:36.6050755Z 2022-11-23T01:30:36.6051013Z [2022-11-23 01:29:21,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 457 2022-11-23T01:30:36.6051424Z [2022-11-23 01:29:22,860] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lh/clhrxcdsejdvfrp2ootu6sm67hhjnfdl6ojquxkjy6d75difeciq.py 2022-11-23T01:30:36.6051687Z [2022-11-23 01:29:22,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 457 2022-11-23T01:30:36.6051692Z 2022-11-23T01:30:36.6051785Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6051854Z import torch 2022-11-23T01:30:36.6051910Z import random 2022-11-23T01:30:36.6052030Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6052151Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6052156Z 2022-11-23T01:30:36.6052233Z aten = torch.ops.aten 2022-11-23T01:30:36.6052366Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6052458Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6052462Z 2022-11-23T01:30:36.6052467Z 2022-11-23T01:30:36.6052600Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6052806Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6052913Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6053019Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.6053119Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6053181Z { 2022-11-23T01:30:36.6053279Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6053348Z { 2022-11-23T01:30:36.6053427Z #pragma omp for 2022-11-23T01:30:36.6053496Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6053560Z { 2022-11-23T01:30:36.6053642Z #pragma GCC ivdep 2022-11-23T01:30:36.6053729Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6053792Z { 2022-11-23T01:30:36.6053856Z { 2022-11-23T01:30:36.6053910Z { 2022-11-23T01:30:36.6054004Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6054107Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6054219Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6054311Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6054404Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6054469Z } 2022-11-23T01:30:36.6054533Z } 2022-11-23T01:30:36.6054584Z } 2022-11-23T01:30:36.6054646Z } 2022-11-23T01:30:36.6054707Z } 2022-11-23T01:30:36.6054767Z } 2022-11-23T01:30:36.6054846Z ''') 2022-11-23T01:30:36.6054851Z 2022-11-23T01:30:36.6054855Z 2022-11-23T01:30:36.6054944Z async_compile.wait(globals()) 2022-11-23T01:30:36.6055016Z del async_compile 2022-11-23T01:30:36.6055020Z 2022-11-23T01:30:36.6055077Z def call(args): 2022-11-23T01:30:36.6055152Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6055223Z args.clear() 2022-11-23T01:30:36.6055420Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6055585Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6055652Z del arg0_1 2022-11-23T01:30:36.6055717Z del arg1_1 2022-11-23T01:30:36.6055775Z return (buf0, ) 2022-11-23T01:30:36.6055780Z 2022-11-23T01:30:36.6055784Z 2022-11-23T01:30:36.6055860Z if __name__ == "__main__": 2022-11-23T01:30:36.6055973Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6056123Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6056319Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6056518Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6056680Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6056687Z 2022-11-23T01:30:36.6056787Z ok (1.437s) 2022-11-23T01:30:36.6057128Z test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:22,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6057534Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6057752Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6058011Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6058291Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6058611Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6058958Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6059282Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6059661Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6059758Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6059836Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6059909Z 4 BINARY_ADD 2022-11-23T01:30:36.6059998Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6060074Z 8 RETURN_VALUE 2022-11-23T01:30:36.6060135Z 2022-11-23T01:30:36.6060140Z 2022-11-23T01:30:36.6060451Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6060661Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6060898Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6061155Z [2022-11-23 01:29:22,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6061395Z [2022-11-23 01:29:22,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6061641Z [2022-11-23 01:29:22,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6062031Z [2022-11-23 01:29:22,868] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6062279Z [2022-11-23 01:29:22,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6062513Z [2022-11-23 01:29:22,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6062766Z [2022-11-23 01:29:22,869] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6063019Z [2022-11-23 01:29:22,871] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6063238Z [2022-11-23 01:29:22,871] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6063360Z __compiled_fn_466 .3615 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6063449Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6063536Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6063715Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6063812Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6063817Z 2022-11-23T01:30:36.6064169Z [2022-11-23 01:29:22,872] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6064262Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6064351Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6064426Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6064517Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6064602Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6064695Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6064772Z 12 RETURN_VALUE 2022-11-23T01:30:36.6064778Z 2022-11-23T01:30:36.6064840Z 2022-11-23T01:30:36.6065160Z [2022-11-23 01:29:22,872] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6065268Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_466) 2022-11-23T01:30:36.6065348Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6065439Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6065516Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6065605Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6065692Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6065767Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6065855Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6065947Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6066049Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6066147Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6066223Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6066311Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6066386Z 26 RETURN_VALUE 2022-11-23T01:30:36.6066391Z 2022-11-23T01:30:36.6066453Z 2022-11-23T01:30:36.6066625Z [2022-11-23 01:29:22,873] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6066694Z - 2022-11-23T01:30:36.6066815Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6066882Z { 2022-11-23T01:30:36.6067024Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6067211Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6067329Z 'obj_weakref': None 2022-11-23T01:30:36.6067555Z 'guarded_class': 2022-11-23T01:30:36.6067608Z } 2022-11-23T01:30:36.6067671Z 2022-11-23T01:30:36.6067740Z - 2022-11-23T01:30:36.6067864Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6067927Z { 2022-11-23T01:30:36.6068070Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6068164Z 'code': None, 2022-11-23T01:30:36.6068375Z 'obj_weakref': 2022-11-23T01:30:36.6068630Z 'guarded_class': 2022-11-23T01:30:36.6068698Z } 2022-11-23T01:30:36.6068763Z 2022-11-23T01:30:36.6068832Z - 2022-11-23T01:30:36.6068953Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6069007Z { 2022-11-23T01:30:36.6069146Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6069253Z 'code': None, 2022-11-23T01:30:36.6069492Z 'obj_weakref': 2022-11-23T01:30:36.6069744Z 'guarded_class': 2022-11-23T01:30:36.6069809Z } 2022-11-23T01:30:36.6069871Z 2022-11-23T01:30:36.6069927Z - 2022-11-23T01:30:36.6070057Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6070150Z { 2022-11-23T01:30:36.6070284Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6070453Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6070571Z 'obj_weakref': None 2022-11-23T01:30:36.6070802Z 'guarded_class': 2022-11-23T01:30:36.6070867Z } 2022-11-23T01:30:36.6070917Z 2022-11-23T01:30:36.6070986Z - 2022-11-23T01:30:36.6071112Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6071175Z { 2022-11-23T01:30:36.6071310Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6071524Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6071628Z 'obj_weakref': None 2022-11-23T01:30:36.6071849Z 'guarded_class': 2022-11-23T01:30:36.6071916Z } 2022-11-23T01:30:36.6071979Z 2022-11-23T01:30:36.6072243Z [2022-11-23 01:29:22,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 458 2022-11-23T01:30:36.6072611Z [2022-11-23 01:29:24,283] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqbbb6olm6dtjwpf7nwqnjak7lo5l4xpycv5oikgs6oy5n2p7p4.py 2022-11-23T01:30:36.6072875Z [2022-11-23 01:29:24,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 458 2022-11-23T01:30:36.6072883Z 2022-11-23T01:30:36.6072977Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6073045Z import torch 2022-11-23T01:30:36.6073101Z import random 2022-11-23T01:30:36.6073216Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6073337Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6073342Z 2022-11-23T01:30:36.6073419Z aten = torch.ops.aten 2022-11-23T01:30:36.6073553Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6073645Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6073650Z 2022-11-23T01:30:36.6073654Z 2022-11-23T01:30:36.6073790Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6073993Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6074100Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6074200Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.6074301Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6074361Z { 2022-11-23T01:30:36.6074459Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6074522Z { 2022-11-23T01:30:36.6074600Z #pragma omp for 2022-11-23T01:30:36.6074669Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6074732Z { 2022-11-23T01:30:36.6074795Z { 2022-11-23T01:30:36.6074861Z { 2022-11-23T01:30:36.6074957Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6075047Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6075140Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6075230Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6075313Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6075378Z } 2022-11-23T01:30:36.6075442Z } 2022-11-23T01:30:36.6075505Z } 2022-11-23T01:30:36.6075569Z } 2022-11-23T01:30:36.6075615Z } 2022-11-23T01:30:36.6075723Z ''') 2022-11-23T01:30:36.6075729Z 2022-11-23T01:30:36.6075733Z 2022-11-23T01:30:36.6075825Z async_compile.wait(globals()) 2022-11-23T01:30:36.6075898Z del async_compile 2022-11-23T01:30:36.6075902Z 2022-11-23T01:30:36.6075974Z def call(args): 2022-11-23T01:30:36.6076048Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6076118Z args.clear() 2022-11-23T01:30:36.6076300Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6076492Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6076561Z del arg0_1 2022-11-23T01:30:36.6076628Z del arg1_1 2022-11-23T01:30:36.6076698Z return (buf0, ) 2022-11-23T01:30:36.6076704Z 2022-11-23T01:30:36.6076708Z 2022-11-23T01:30:36.6076783Z if __name__ == "__main__": 2022-11-23T01:30:36.6076895Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6077018Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6077200Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6077390Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6077503Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6077508Z 2022-11-23T01:30:36.6077597Z ok (1.423s) 2022-11-23T01:30:36.6077943Z test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:24,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6078264Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6078481Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6078736Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6079016Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6079325Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6079671Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6080070Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6080460Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6080552Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6080646Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6080721Z 4 BINARY_ADD 2022-11-23T01:30:36.6080809Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6080886Z 8 RETURN_VALUE 2022-11-23T01:30:36.6080933Z 2022-11-23T01:30:36.6080938Z 2022-11-23T01:30:36.6081252Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6081464Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6081702Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6082020Z [2022-11-23 01:29:24,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6082312Z [2022-11-23 01:29:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6082662Z [2022-11-23 01:29:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6083054Z [2022-11-23 01:29:24,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6083297Z [2022-11-23 01:29:24,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6083548Z [2022-11-23 01:29:24,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6083804Z [2022-11-23 01:29:24,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6084053Z [2022-11-23 01:29:24,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6084240Z [2022-11-23 01:29:24,296] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6084377Z __compiled_fn_467 .3621 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6084465Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6084550Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6084729Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6084899Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6084918Z 2022-11-23T01:30:36.6085231Z [2022-11-23 01:29:24,296] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6085326Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6085415Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6085502Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6085595Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6085679Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6085766Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6085833Z 12 RETURN_VALUE 2022-11-23T01:30:36.6085838Z 2022-11-23T01:30:36.6085900Z 2022-11-23T01:30:36.6086221Z [2022-11-23 01:29:24,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6086330Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_467) 2022-11-23T01:30:36.6086420Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6086512Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6086589Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6086679Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6086753Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6086828Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6086916Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6087019Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6087122Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6087210Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6087285Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6087359Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6087434Z 26 RETURN_VALUE 2022-11-23T01:30:36.6087439Z 2022-11-23T01:30:36.6087500Z 2022-11-23T01:30:36.6087680Z [2022-11-23 01:29:24,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6087753Z - 2022-11-23T01:30:36.6087872Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6087937Z { 2022-11-23T01:30:36.6088062Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6088248Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6088366Z 'obj_weakref': None 2022-11-23T01:30:36.6088592Z 'guarded_class': 2022-11-23T01:30:36.6088717Z } 2022-11-23T01:30:36.6088781Z 2022-11-23T01:30:36.6088851Z - 2022-11-23T01:30:36.6088961Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6089025Z { 2022-11-23T01:30:36.6089167Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6089273Z 'code': None, 2022-11-23T01:30:36.6089489Z 'obj_weakref': 2022-11-23T01:30:36.6089792Z 'guarded_class': 2022-11-23T01:30:36.6089855Z } 2022-11-23T01:30:36.6089905Z 2022-11-23T01:30:36.6089974Z - 2022-11-23T01:30:36.6090096Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6090159Z { 2022-11-23T01:30:36.6090301Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6090405Z 'code': None, 2022-11-23T01:30:36.6090619Z 'obj_weakref': 2022-11-23T01:30:36.6090856Z 'guarded_class': 2022-11-23T01:30:36.6090920Z } 2022-11-23T01:30:36.6090982Z 2022-11-23T01:30:36.6091052Z - 2022-11-23T01:30:36.6091180Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6091246Z { 2022-11-23T01:30:36.6091380Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6091533Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6091649Z 'obj_weakref': None 2022-11-23T01:30:36.6091878Z 'guarded_class': 2022-11-23T01:30:36.6091941Z } 2022-11-23T01:30:36.6092005Z 2022-11-23T01:30:36.6092073Z - 2022-11-23T01:30:36.6092195Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6092245Z { 2022-11-23T01:30:36.6092382Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6092598Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6092714Z 'obj_weakref': None 2022-11-23T01:30:36.6092935Z 'guarded_class': 2022-11-23T01:30:36.6093000Z } 2022-11-23T01:30:36.6093067Z 2022-11-23T01:30:36.6093317Z [2022-11-23 01:29:24,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 459 2022-11-23T01:30:36.6093684Z [2022-11-23 01:29:25,716] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceag4hxpn2xinu5e3mwvsdrtmuulimq45j4vf6i2fx6whfdad2ya.py 2022-11-23T01:30:36.6093946Z [2022-11-23 01:29:25,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 459 2022-11-23T01:30:36.6093952Z 2022-11-23T01:30:36.6094047Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6094116Z import torch 2022-11-23T01:30:36.6094184Z import random 2022-11-23T01:30:36.6094299Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6094418Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6094423Z 2022-11-23T01:30:36.6094487Z aten = torch.ops.aten 2022-11-23T01:30:36.6094619Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6094713Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6094718Z 2022-11-23T01:30:36.6094722Z 2022-11-23T01:30:36.6094856Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6095058Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6095178Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6095280Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6095380Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6095460Z { 2022-11-23T01:30:36.6095558Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6095619Z { 2022-11-23T01:30:36.6095695Z #pragma omp for 2022-11-23T01:30:36.6095775Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6095836Z { 2022-11-23T01:30:36.6095915Z #pragma GCC ivdep 2022-11-23T01:30:36.6095988Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6096052Z { 2022-11-23T01:30:36.6096146Z { 2022-11-23T01:30:36.6096211Z { 2022-11-23T01:30:36.6096308Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6096411Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.6096504Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6096586Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6096653Z } 2022-11-23T01:30:36.6096716Z } 2022-11-23T01:30:36.6096778Z } 2022-11-23T01:30:36.6096843Z } 2022-11-23T01:30:36.6096904Z } 2022-11-23T01:30:36.6096963Z } 2022-11-23T01:30:36.6097029Z ''') 2022-11-23T01:30:36.6097034Z 2022-11-23T01:30:36.6097038Z 2022-11-23T01:30:36.6097127Z async_compile.wait(globals()) 2022-11-23T01:30:36.6097198Z del async_compile 2022-11-23T01:30:36.6097203Z 2022-11-23T01:30:36.6097274Z def call(args): 2022-11-23T01:30:36.6097348Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6097421Z args.clear() 2022-11-23T01:30:36.6097619Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6097770Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6097837Z del arg0_1 2022-11-23T01:30:36.6097902Z del arg1_1 2022-11-23T01:30:36.6097974Z return (buf0, ) 2022-11-23T01:30:36.6097978Z 2022-11-23T01:30:36.6097982Z 2022-11-23T01:30:36.6098057Z if __name__ == "__main__": 2022-11-23T01:30:36.6098172Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6098296Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6098487Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6098673Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6098790Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6098794Z 2022-11-23T01:30:36.6098866Z ok (1.433s) 2022-11-23T01:30:36.6099219Z test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6099537Z [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6099755Z [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6100010Z [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6100290Z [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6100609Z [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6100943Z [2022-11-23 01:29:25,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6101269Z [2022-11-23 01:29:25,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6101699Z [2022-11-23 01:29:25,723] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6101792Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6101887Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6101960Z 4 BINARY_ADD 2022-11-23T01:30:36.6102049Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6102126Z 8 RETURN_VALUE 2022-11-23T01:30:36.6102175Z 2022-11-23T01:30:36.6102192Z 2022-11-23T01:30:36.6102493Z [2022-11-23 01:29:25,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6102730Z [2022-11-23 01:29:25,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6102966Z [2022-11-23 01:29:25,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6103238Z [2022-11-23 01:29:25,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6103481Z [2022-11-23 01:29:25,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6103724Z [2022-11-23 01:29:25,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6104108Z [2022-11-23 01:29:25,724] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6104357Z [2022-11-23 01:29:25,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6104591Z [2022-11-23 01:29:25,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6104830Z [2022-11-23 01:29:25,725] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6105076Z [2022-11-23 01:29:25,728] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6105270Z [2022-11-23 01:29:25,729] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6105406Z __compiled_fn_468 .3627 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6105496Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6105583Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6105760Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6105858Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6105864Z 2022-11-23T01:30:36.6106175Z [2022-11-23 01:29:25,729] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6106271Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6106360Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6106448Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6106544Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6106630Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6106719Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6106796Z 12 RETURN_VALUE 2022-11-23T01:30:36.6106800Z 2022-11-23T01:30:36.6106850Z 2022-11-23T01:30:36.6107173Z [2022-11-23 01:29:25,729] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6107283Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_468) 2022-11-23T01:30:36.6107374Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6107464Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6107541Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6107630Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6107704Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6107779Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6107891Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6107997Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6108098Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6108185Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6108261Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6108345Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6108407Z 26 RETURN_VALUE 2022-11-23T01:30:36.6108437Z 2022-11-23T01:30:36.6108498Z 2022-11-23T01:30:36.6108680Z [2022-11-23 01:29:25,730] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6108751Z - 2022-11-23T01:30:36.6108871Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6108957Z { 2022-11-23T01:30:36.6109166Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6109344Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6109477Z 'obj_weakref': None 2022-11-23T01:30:36.6109750Z 'guarded_class': 2022-11-23T01:30:36.6109815Z } 2022-11-23T01:30:36.6109879Z 2022-11-23T01:30:36.6109948Z - 2022-11-23T01:30:36.6110072Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6110123Z { 2022-11-23T01:30:36.6110264Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6110400Z 'code': None, 2022-11-23T01:30:36.6110691Z 'obj_weakref': 2022-11-23T01:30:36.6110946Z 'guarded_class': 2022-11-23T01:30:36.6111010Z } 2022-11-23T01:30:36.6111073Z 2022-11-23T01:30:36.6111128Z - 2022-11-23T01:30:36.6111251Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6111313Z { 2022-11-23T01:30:36.6111460Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6111567Z 'code': None, 2022-11-23T01:30:36.6111774Z 'obj_weakref': 2022-11-23T01:30:36.6112025Z 'guarded_class': 2022-11-23T01:30:36.6112077Z } 2022-11-23T01:30:36.6112140Z 2022-11-23T01:30:36.6112210Z - 2022-11-23T01:30:36.6112342Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6112404Z { 2022-11-23T01:30:36.6112537Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6112705Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6112810Z 'obj_weakref': None 2022-11-23T01:30:36.6113039Z 'guarded_class': 2022-11-23T01:30:36.6113102Z } 2022-11-23T01:30:36.6113164Z 2022-11-23T01:30:36.6113236Z - 2022-11-23T01:30:36.6113356Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6113419Z { 2022-11-23T01:30:36.6113540Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6113754Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6113870Z 'obj_weakref': None 2022-11-23T01:30:36.6114091Z 'guarded_class': 2022-11-23T01:30:36.6114158Z } 2022-11-23T01:30:36.6114222Z 2022-11-23T01:30:36.6114484Z [2022-11-23 01:29:25,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 460 2022-11-23T01:30:36.6114839Z [2022-11-23 01:29:27,153] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cy/ccyg3yg4txyknvcnalfw4saj2y6j7yzaqhaui7ql5y5ni27ti5jf.py 2022-11-23T01:30:36.6115144Z [2022-11-23 01:29:27,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 460 2022-11-23T01:30:36.6115150Z 2022-11-23T01:30:36.6115246Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6115314Z import torch 2022-11-23T01:30:36.6115384Z import random 2022-11-23T01:30:36.6115499Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6115620Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6115625Z 2022-11-23T01:30:36.6115730Z aten = torch.ops.aten 2022-11-23T01:30:36.6115850Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6115942Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6115947Z 2022-11-23T01:30:36.6115952Z 2022-11-23T01:30:36.6116085Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6116292Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6116410Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6116515Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6116616Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6116678Z { 2022-11-23T01:30:36.6116763Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6116833Z { 2022-11-23T01:30:36.6116910Z #pragma omp for 2022-11-23T01:30:36.6116992Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6117055Z { 2022-11-23T01:30:36.6117142Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6117204Z { 2022-11-23T01:30:36.6117325Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:30:36.6117468Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6117555Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6117658Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6117727Z } 2022-11-23T01:30:36.6117818Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6117904Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6117955Z { 2022-11-23T01:30:36.6118039Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6118135Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6118220Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6118311Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6118374Z } 2022-11-23T01:30:36.6118438Z } 2022-11-23T01:30:36.6118488Z } 2022-11-23T01:30:36.6118549Z } 2022-11-23T01:30:36.6118627Z ''') 2022-11-23T01:30:36.6118632Z 2022-11-23T01:30:36.6118636Z 2022-11-23T01:30:36.6118725Z async_compile.wait(globals()) 2022-11-23T01:30:36.6118797Z del async_compile 2022-11-23T01:30:36.6118802Z 2022-11-23T01:30:36.6118870Z def call(args): 2022-11-23T01:30:36.6118946Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6119005Z args.clear() 2022-11-23T01:30:36.6119208Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6119371Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6119438Z del arg0_1 2022-11-23T01:30:36.6119504Z del arg1_1 2022-11-23T01:30:36.6119575Z return (buf0, ) 2022-11-23T01:30:36.6119580Z 2022-11-23T01:30:36.6119584Z 2022-11-23T01:30:36.6119660Z if __name__ == "__main__": 2022-11-23T01:30:36.6119780Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6119892Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6120172Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6120374Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6120488Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6120493Z 2022-11-23T01:30:36.6120560Z ok (1.437s) 2022-11-23T01:30:36.6120943Z test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:27,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6121263Z [2022-11-23 01:29:27,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6121489Z [2022-11-23 01:29:27,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6121804Z [2022-11-23 01:29:27,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6122102Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6122422Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6122770Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6123091Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6123470Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6123563Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6123653Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6123727Z 4 BINARY_ADD 2022-11-23T01:30:36.6123815Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6123878Z 8 RETURN_VALUE 2022-11-23T01:30:36.6123939Z 2022-11-23T01:30:36.6123945Z 2022-11-23T01:30:36.6124258Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6124466Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6124704Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6125068Z [2022-11-23 01:29:27,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6125312Z [2022-11-23 01:29:27,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6125559Z [2022-11-23 01:29:27,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6125946Z [2022-11-23 01:29:27,160] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6126181Z [2022-11-23 01:29:27,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6126415Z [2022-11-23 01:29:27,161] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6126666Z [2022-11-23 01:29:27,162] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6126915Z [2022-11-23 01:29:27,164] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6127105Z [2022-11-23 01:29:27,164] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6127237Z __compiled_fn_469 .3633 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6127326Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6127415Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6127579Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6127673Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6127678Z 2022-11-23T01:30:36.6128051Z [2022-11-23 01:29:27,165] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6128148Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6128239Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6128325Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6128418Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6128536Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6128610Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6128687Z 12 RETURN_VALUE 2022-11-23T01:30:36.6128692Z 2022-11-23T01:30:36.6128753Z 2022-11-23T01:30:36.6129075Z [2022-11-23 01:29:27,165] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6129183Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_469) 2022-11-23T01:30:36.6129275Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6129365Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6129443Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6129519Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6129605Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6129681Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6129769Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6129874Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6129975Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6130063Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6130126Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6130213Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6130290Z 26 RETURN_VALUE 2022-11-23T01:30:36.6130295Z 2022-11-23T01:30:36.6130355Z 2022-11-23T01:30:36.6130538Z [2022-11-23 01:29:27,166] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6130609Z - 2022-11-23T01:30:36.6130728Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6130779Z { 2022-11-23T01:30:36.6130921Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6131107Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6131230Z 'obj_weakref': None 2022-11-23T01:30:36.6131459Z 'guarded_class': 2022-11-23T01:30:36.6131523Z } 2022-11-23T01:30:36.6131586Z 2022-11-23T01:30:36.6131641Z - 2022-11-23T01:30:36.6131764Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6131827Z { 2022-11-23T01:30:36.6131968Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6132073Z 'code': None, 2022-11-23T01:30:36.6132287Z 'obj_weakref': 2022-11-23T01:30:36.6132538Z 'guarded_class': 2022-11-23T01:30:36.6132590Z } 2022-11-23T01:30:36.6132652Z 2022-11-23T01:30:36.6132721Z - 2022-11-23T01:30:36.6132846Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6132910Z { 2022-11-23T01:30:36.6133051Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6133158Z 'code': None, 2022-11-23T01:30:36.6133354Z 'obj_weakref': 2022-11-23T01:30:36.6133605Z 'guarded_class': 2022-11-23T01:30:36.6133667Z } 2022-11-23T01:30:36.6133731Z 2022-11-23T01:30:36.6133799Z - 2022-11-23T01:30:36.6133928Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6133991Z { 2022-11-23T01:30:36.6134139Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6134313Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6134433Z 'obj_weakref': None 2022-11-23T01:30:36.6134660Z 'guarded_class': 2022-11-23T01:30:36.6134723Z } 2022-11-23T01:30:36.6134784Z 2022-11-23T01:30:36.6134895Z - 2022-11-23T01:30:36.6135004Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6135069Z { 2022-11-23T01:30:36.6135205Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6135454Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6135630Z 'obj_weakref': None 2022-11-23T01:30:36.6135906Z 'guarded_class': 2022-11-23T01:30:36.6135998Z } 2022-11-23T01:30:36.6136093Z 2022-11-23T01:30:36.6136500Z [2022-11-23 01:29:27,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 461 2022-11-23T01:30:36.6137122Z [2022-11-23 01:29:28,585] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b5/cb5534hql5waf4a5kzxld65igq424z7y3yssasqhfw2celzn4yho.py 2022-11-23T01:30:36.6137640Z [2022-11-23 01:29:28,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 461 2022-11-23T01:30:36.6137659Z 2022-11-23T01:30:36.6137823Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6137923Z import torch 2022-11-23T01:30:36.6137993Z import random 2022-11-23T01:30:36.6138107Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6138215Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6138220Z 2022-11-23T01:30:36.6138300Z aten = torch.ops.aten 2022-11-23T01:30:36.6138435Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6138529Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6138533Z 2022-11-23T01:30:36.6138538Z 2022-11-23T01:30:36.6138675Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6138877Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6138997Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6139099Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6139191Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6139253Z { 2022-11-23T01:30:36.6139350Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6139412Z { 2022-11-23T01:30:36.6139488Z #pragma omp for 2022-11-23T01:30:36.6139570Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6139632Z { 2022-11-23T01:30:36.6139701Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6139765Z { 2022-11-23T01:30:36.6139901Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:30:36.6140035Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:30:36.6140123Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6140224Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6140288Z } 2022-11-23T01:30:36.6140367Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6140455Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6140520Z { 2022-11-23T01:30:36.6140604Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6140688Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.6140772Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6140864Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6140914Z } 2022-11-23T01:30:36.6140978Z } 2022-11-23T01:30:36.6141042Z } 2022-11-23T01:30:36.6141102Z } 2022-11-23T01:30:36.6141180Z ''') 2022-11-23T01:30:36.6141251Z 2022-11-23T01:30:36.6141255Z 2022-11-23T01:30:36.6141346Z async_compile.wait(globals()) 2022-11-23T01:30:36.6141419Z del async_compile 2022-11-23T01:30:36.6141424Z 2022-11-23T01:30:36.6141481Z def call(args): 2022-11-23T01:30:36.6141556Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6141627Z args.clear() 2022-11-23T01:30:36.6141839Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6142035Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6142106Z del arg0_1 2022-11-23T01:30:36.6142173Z del arg1_1 2022-11-23T01:30:36.6142230Z return (buf0, ) 2022-11-23T01:30:36.6142249Z 2022-11-23T01:30:36.6142253Z 2022-11-23T01:30:36.6142316Z if __name__ == "__main__": 2022-11-23T01:30:36.6142431Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6142554Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6142765Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6142956Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6143070Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6143075Z 2022-11-23T01:30:36.6143142Z ok (1.432s) 2022-11-23T01:30:36.6143494Z test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6143805Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6144023Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6144277Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6144557Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6144877Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6145223Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6145547Z [2022-11-23 01:29:28,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6145927Z [2022-11-23 01:29:28,593] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6146019Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6146111Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6146172Z 4 BINARY_ADD 2022-11-23T01:30:36.6146263Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6146340Z 8 RETURN_VALUE 2022-11-23T01:30:36.6146401Z 2022-11-23T01:30:36.6146406Z 2022-11-23T01:30:36.6146719Z [2022-11-23 01:29:28,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6146929Z [2022-11-23 01:29:28,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6147164Z [2022-11-23 01:29:28,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6147436Z [2022-11-23 01:29:28,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6147661Z [2022-11-23 01:29:28,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6147937Z [2022-11-23 01:29:28,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6148325Z [2022-11-23 01:29:28,595] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6148570Z [2022-11-23 01:29:28,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6148832Z [2022-11-23 01:29:28,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6149087Z [2022-11-23 01:29:28,596] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6149334Z [2022-11-23 01:29:28,599] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6149519Z [2022-11-23 01:29:28,600] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6149655Z __compiled_fn_470 .3639 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6149732Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6149820Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6149998Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6150093Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6150098Z 2022-11-23T01:30:36.6150423Z [2022-11-23 01:29:28,600] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6150520Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6150612Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6150699Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6150779Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6150864Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6150951Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6151031Z 12 RETURN_VALUE 2022-11-23T01:30:36.6151036Z 2022-11-23T01:30:36.6151097Z 2022-11-23T01:30:36.6151418Z [2022-11-23 01:29:28,600] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6151525Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_470) 2022-11-23T01:30:36.6151615Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6151694Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6151770Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6151858Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6151946Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6152021Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6152108Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6152211Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6152301Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6152391Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6152467Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6152553Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6152627Z 26 RETURN_VALUE 2022-11-23T01:30:36.6152632Z 2022-11-23T01:30:36.6152693Z 2022-11-23T01:30:36.6152875Z [2022-11-23 01:29:28,601] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6152935Z - 2022-11-23T01:30:36.6153054Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6153118Z { 2022-11-23T01:30:36.6153259Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6153444Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6153561Z 'obj_weakref': None 2022-11-23T01:30:36.6153788Z 'guarded_class': 2022-11-23T01:30:36.6153869Z } 2022-11-23T01:30:36.6153934Z 2022-11-23T01:30:36.6154001Z - 2022-11-23T01:30:36.6154126Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6154190Z { 2022-11-23T01:30:36.6154332Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6154437Z 'code': None, 2022-11-23T01:30:36.6154633Z 'obj_weakref': 2022-11-23T01:30:36.6154922Z 'guarded_class': 2022-11-23T01:30:36.6154985Z } 2022-11-23T01:30:36.6155047Z 2022-11-23T01:30:36.6155118Z - 2022-11-23T01:30:36.6155239Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6155303Z { 2022-11-23T01:30:36.6155431Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6155537Z 'code': None, 2022-11-23T01:30:36.6155748Z 'obj_weakref': 2022-11-23T01:30:36.6156000Z 'guarded_class': 2022-11-23T01:30:36.6156067Z } 2022-11-23T01:30:36.6156130Z 2022-11-23T01:30:36.6156198Z - 2022-11-23T01:30:36.6156315Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6156378Z { 2022-11-23T01:30:36.6156512Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6156682Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6156799Z 'obj_weakref': None 2022-11-23T01:30:36.6157027Z 'guarded_class': 2022-11-23T01:30:36.6157091Z } 2022-11-23T01:30:36.6157142Z 2022-11-23T01:30:36.6157213Z - 2022-11-23T01:30:36.6157332Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6157394Z { 2022-11-23T01:30:36.6157531Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6157747Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6157863Z 'obj_weakref': None 2022-11-23T01:30:36.6158072Z 'guarded_class': 2022-11-23T01:30:36.6158135Z } 2022-11-23T01:30:36.6158200Z 2022-11-23T01:30:36.6158460Z [2022-11-23 01:29:28,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 462 2022-11-23T01:30:36.6158826Z [2022-11-23 01:29:28,618] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dt/cdtmthlvsq2osmfldj4foy4t7ov4yktz2byfhqgaw65m2tquounz.py 2022-11-23T01:30:36.6159090Z [2022-11-23 01:29:28,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 462 2022-11-23T01:30:36.6159096Z 2022-11-23T01:30:36.6159191Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6159260Z import torch 2022-11-23T01:30:36.6159317Z import random 2022-11-23T01:30:36.6159431Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6159550Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6159555Z 2022-11-23T01:30:36.6159634Z aten = torch.ops.aten 2022-11-23T01:30:36.6159767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6159861Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6159865Z 2022-11-23T01:30:36.6159870Z 2022-11-23T01:30:36.6160088Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6160296Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6160402Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6160504Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6160603Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6160696Z { 2022-11-23T01:30:36.6160796Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6160858Z { 2022-11-23T01:30:36.6160934Z #pragma omp for 2022-11-23T01:30:36.6161002Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.6161064Z { 2022-11-23T01:30:36.6161202Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.6161333Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.6161448Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6161538Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6161601Z } 2022-11-23T01:30:36.6161694Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6161763Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.6161824Z { 2022-11-23T01:30:36.6161906Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6161988Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6162071Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6162150Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6162199Z } 2022-11-23T01:30:36.6162261Z } 2022-11-23T01:30:36.6162319Z } 2022-11-23T01:30:36.6162400Z ''') 2022-11-23T01:30:36.6162405Z 2022-11-23T01:30:36.6162409Z 2022-11-23T01:30:36.6162498Z async_compile.wait(globals()) 2022-11-23T01:30:36.6162571Z del async_compile 2022-11-23T01:30:36.6162576Z 2022-11-23T01:30:36.6162646Z def call(args): 2022-11-23T01:30:36.6162722Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6162782Z args.clear() 2022-11-23T01:30:36.6162988Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6163149Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6163217Z del arg0_1 2022-11-23T01:30:36.6163284Z del arg1_1 2022-11-23T01:30:36.6163353Z return (buf0, ) 2022-11-23T01:30:36.6163358Z 2022-11-23T01:30:36.6163362Z 2022-11-23T01:30:36.6163440Z if __name__ == "__main__": 2022-11-23T01:30:36.6163540Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6163663Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6163868Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6164066Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6164182Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6164187Z 2022-11-23T01:30:36.6164253Z ok (0.033s) 2022-11-23T01:30:36.6164607Z test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6165025Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6165245Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6165486Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6165768Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6166090Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6166438Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6166761Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6167193Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6167287Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6167377Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6167450Z 4 BINARY_ADD 2022-11-23T01:30:36.6167550Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6167655Z 8 RETURN_VALUE 2022-11-23T01:30:36.6167784Z 2022-11-23T01:30:36.6167790Z 2022-11-23T01:30:36.6168165Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6168384Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6168620Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6168898Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6169138Z [2022-11-23 01:29:28,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6169383Z [2022-11-23 01:29:28,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6169758Z [2022-11-23 01:29:28,625] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6170004Z [2022-11-23 01:29:28,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6170236Z [2022-11-23 01:29:28,625] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6170488Z [2022-11-23 01:29:28,625] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6170739Z [2022-11-23 01:29:28,628] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6170925Z [2022-11-23 01:29:28,628] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6171058Z __compiled_fn_471 .3645 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6171146Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6171233Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6171400Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6171494Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6171499Z 2022-11-23T01:30:36.6171818Z [2022-11-23 01:29:28,629] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6171912Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6172002Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6172091Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6172182Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6172265Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6172341Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6172416Z 12 RETURN_VALUE 2022-11-23T01:30:36.6172420Z 2022-11-23T01:30:36.6172481Z 2022-11-23T01:30:36.6172801Z [2022-11-23 01:29:28,629] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6172912Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_471) 2022-11-23T01:30:36.6173001Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6173090Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6173154Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6173241Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6173326Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6173435Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6173525Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6173628Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6173729Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6173816Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6173878Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6173995Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6174071Z 26 RETURN_VALUE 2022-11-23T01:30:36.6174076Z 2022-11-23T01:30:36.6174136Z 2022-11-23T01:30:36.6174320Z [2022-11-23 01:29:28,629] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6174389Z - 2022-11-23T01:30:36.6174508Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6174559Z { 2022-11-23T01:30:36.6174697Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6174884Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6175004Z 'obj_weakref': None 2022-11-23T01:30:36.6175228Z 'guarded_class': 2022-11-23T01:30:36.6175291Z } 2022-11-23T01:30:36.6175353Z 2022-11-23T01:30:36.6175409Z - 2022-11-23T01:30:36.6175532Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6175595Z { 2022-11-23T01:30:36.6175743Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6175848Z 'code': None, 2022-11-23T01:30:36.6176060Z 'obj_weakref': 2022-11-23T01:30:36.6176310Z 'guarded_class': 2022-11-23T01:30:36.6176362Z } 2022-11-23T01:30:36.6176425Z 2022-11-23T01:30:36.6176493Z - 2022-11-23T01:30:36.6176615Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6176680Z { 2022-11-23T01:30:36.6176819Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6176924Z 'code': None, 2022-11-23T01:30:36.6177121Z 'obj_weakref': 2022-11-23T01:30:36.6177371Z 'guarded_class': 2022-11-23T01:30:36.6177439Z } 2022-11-23T01:30:36.6177501Z 2022-11-23T01:30:36.6177570Z - 2022-11-23T01:30:36.6177699Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6177761Z { 2022-11-23T01:30:36.6177881Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6178052Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6178170Z 'obj_weakref': None 2022-11-23T01:30:36.6178399Z 'guarded_class': 2022-11-23T01:30:36.6178463Z } 2022-11-23T01:30:36.6178527Z 2022-11-23T01:30:36.6178594Z - 2022-11-23T01:30:36.6178701Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6178763Z { 2022-11-23T01:30:36.6178897Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6179110Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6179230Z 'obj_weakref': None 2022-11-23T01:30:36.6179449Z 'guarded_class': 2022-11-23T01:30:36.6179513Z } 2022-11-23T01:30:36.6179563Z 2022-11-23T01:30:36.6179825Z [2022-11-23 01:29:28,633] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 463 2022-11-23T01:30:36.6180218Z [2022-11-23 01:29:28,641] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7c/c7cinjt37jvszcx5pqqngnc2uiujzb6jizl4njg3uebflpm64mrj.py 2022-11-23T01:30:36.6180487Z [2022-11-23 01:29:28,641] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 463 2022-11-23T01:30:36.6180492Z 2022-11-23T01:30:36.6180586Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6180658Z import torch 2022-11-23T01:30:36.6180729Z import random 2022-11-23T01:30:36.6180844Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6180996Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6181001Z 2022-11-23T01:30:36.6181079Z aten = torch.ops.aten 2022-11-23T01:30:36.6181213Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6181308Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6181313Z 2022-11-23T01:30:36.6181317Z 2022-11-23T01:30:36.6181450Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6181655Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6181777Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6181881Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6181968Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6182030Z { 2022-11-23T01:30:36.6182128Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6182192Z { 2022-11-23T01:30:36.6182270Z #pragma omp for 2022-11-23T01:30:36.6182351Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.6182417Z { 2022-11-23T01:30:36.6182541Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.6182664Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:36.6182749Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6182839Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6182903Z } 2022-11-23T01:30:36.6182997Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6183080Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.6183132Z { 2022-11-23T01:30:36.6183215Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6183295Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.6183378Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6183457Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6183519Z } 2022-11-23T01:30:36.6183579Z } 2022-11-23T01:30:36.6183627Z } 2022-11-23T01:30:36.6183705Z ''') 2022-11-23T01:30:36.6183712Z 2022-11-23T01:30:36.6183716Z 2022-11-23T01:30:36.6183806Z async_compile.wait(globals()) 2022-11-23T01:30:36.6183878Z del async_compile 2022-11-23T01:30:36.6183882Z 2022-11-23T01:30:36.6183952Z def call(args): 2022-11-23T01:30:36.6184026Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6184098Z args.clear() 2022-11-23T01:30:36.6184292Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6184455Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6184525Z del arg0_1 2022-11-23T01:30:36.6184591Z del arg1_1 2022-11-23T01:30:36.6184663Z return (buf0, ) 2022-11-23T01:30:36.6184668Z 2022-11-23T01:30:36.6184672Z 2022-11-23T01:30:36.6184747Z if __name__ == "__main__": 2022-11-23T01:30:36.6184862Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6184986Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6185181Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6185372Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6185486Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6185490Z 2022-11-23T01:30:36.6185558Z ok (0.022s) 2022-11-23T01:30:36.6185904Z test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6186251Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6186474Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6186729Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6187007Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6187345Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6187693Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6188020Z [2022-11-23 01:29:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6188400Z [2022-11-23 01:29:28,646] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6188493Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6188587Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6188664Z 4 BINARY_ADD 2022-11-23T01:30:36.6188754Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6188829Z 8 RETURN_VALUE 2022-11-23T01:30:36.6188878Z 2022-11-23T01:30:36.6188883Z 2022-11-23T01:30:36.6189196Z [2022-11-23 01:29:28,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6189404Z [2022-11-23 01:29:28,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6189644Z [2022-11-23 01:29:28,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6189915Z [2022-11-23 01:29:28,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6190155Z [2022-11-23 01:29:28,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6190401Z [2022-11-23 01:29:28,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6190789Z [2022-11-23 01:29:28,647] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6191033Z [2022-11-23 01:29:28,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6191255Z [2022-11-23 01:29:28,647] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6191508Z [2022-11-23 01:29:28,648] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6191756Z [2022-11-23 01:29:28,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6191944Z [2022-11-23 01:29:28,651] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6192079Z __compiled_fn_472 .3651 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6192170Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6192257Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6192433Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6192516Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6192521Z 2022-11-23T01:30:36.6192843Z [2022-11-23 01:29:28,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6192966Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6193059Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6193146Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6193239Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6193324Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6193413Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6193503Z 12 RETURN_VALUE 2022-11-23T01:30:36.6193508Z 2022-11-23T01:30:36.6193568Z 2022-11-23T01:30:36.6193890Z [2022-11-23 01:29:28,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6193999Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_472) 2022-11-23T01:30:36.6194089Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6194178Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6194257Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6194344Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6194420Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6194493Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6194581Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6194683Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6194783Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6194874Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6194950Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6195024Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6195098Z 26 RETURN_VALUE 2022-11-23T01:30:36.6195102Z 2022-11-23T01:30:36.6195162Z 2022-11-23T01:30:36.6195343Z [2022-11-23 01:29:28,652] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6195413Z - 2022-11-23T01:30:36.6195531Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6195597Z { 2022-11-23T01:30:36.6195724Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6195908Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6196028Z 'obj_weakref': None 2022-11-23T01:30:36.6196253Z 'guarded_class': 2022-11-23T01:30:36.6196320Z } 2022-11-23T01:30:36.6196384Z 2022-11-23T01:30:36.6196453Z - 2022-11-23T01:30:36.6196565Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6196628Z { 2022-11-23T01:30:36.6196770Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6196877Z 'code': None, 2022-11-23T01:30:36.6197085Z 'obj_weakref': 2022-11-23T01:30:36.6197339Z 'guarded_class': 2022-11-23T01:30:36.6197402Z } 2022-11-23T01:30:36.6197453Z 2022-11-23T01:30:36.6197521Z - 2022-11-23T01:30:36.6197646Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6197708Z { 2022-11-23T01:30:36.6197850Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6197954Z 'code': None, 2022-11-23T01:30:36.6198160Z 'obj_weakref': 2022-11-23T01:30:36.6198401Z 'guarded_class': 2022-11-23T01:30:36.6198465Z } 2022-11-23T01:30:36.6198529Z 2022-11-23T01:30:36.6198597Z - 2022-11-23T01:30:36.6198730Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6198792Z { 2022-11-23T01:30:36.6198926Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6199109Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6199229Z 'obj_weakref': None 2022-11-23T01:30:36.6199457Z 'guarded_class': 2022-11-23T01:30:36.6199520Z } 2022-11-23T01:30:36.6199582Z 2022-11-23T01:30:36.6199649Z - 2022-11-23T01:30:36.6199770Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6199820Z { 2022-11-23T01:30:36.6200101Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6200321Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6200441Z 'obj_weakref': None 2022-11-23T01:30:36.6200661Z 'guarded_class': 2022-11-23T01:30:36.6200725Z } 2022-11-23T01:30:36.6200787Z 2022-11-23T01:30:36.6201036Z [2022-11-23 01:29:28,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 464 2022-11-23T01:30:36.6201407Z [2022-11-23 01:29:28,665] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3mlge7iiggzrvrkao5vqml6ue4zv3zckdgdwjm2sjlnmbruvytg.py 2022-11-23T01:30:36.6201669Z [2022-11-23 01:29:28,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 464 2022-11-23T01:30:36.6201674Z 2022-11-23T01:30:36.6201768Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6201840Z import torch 2022-11-23T01:30:36.6201910Z import random 2022-11-23T01:30:36.6202024Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6202145Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6202150Z 2022-11-23T01:30:36.6202214Z aten = torch.ops.aten 2022-11-23T01:30:36.6202348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6202442Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6202446Z 2022-11-23T01:30:36.6202450Z 2022-11-23T01:30:36.6202590Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6202792Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6202911Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6203014Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6203113Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6203163Z { 2022-11-23T01:30:36.6203260Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6203320Z { 2022-11-23T01:30:36.6203395Z #pragma omp for 2022-11-23T01:30:36.6203475Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6203537Z { 2022-11-23T01:30:36.6203620Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6203669Z { 2022-11-23T01:30:36.6203799Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:30:36.6203942Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6204029Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6204134Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6204197Z } 2022-11-23T01:30:36.6204288Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6204357Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6204422Z { 2022-11-23T01:30:36.6204510Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6204607Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6204693Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6204907Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6204972Z } 2022-11-23T01:30:36.6205022Z } 2022-11-23T01:30:36.6205084Z } 2022-11-23T01:30:36.6205145Z } 2022-11-23T01:30:36.6205227Z ''') 2022-11-23T01:30:36.6205231Z 2022-11-23T01:30:36.6205236Z 2022-11-23T01:30:36.6205325Z async_compile.wait(globals()) 2022-11-23T01:30:36.6205449Z del async_compile 2022-11-23T01:30:36.6205455Z 2022-11-23T01:30:36.6205527Z def call(args): 2022-11-23T01:30:36.6205589Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6205662Z args.clear() 2022-11-23T01:30:36.6205872Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6206035Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6206141Z del arg0_1 2022-11-23T01:30:36.6206208Z del arg1_1 2022-11-23T01:30:36.6206278Z return (buf0, ) 2022-11-23T01:30:36.6206283Z 2022-11-23T01:30:36.6206287Z 2022-11-23T01:30:36.6206364Z if __name__ == "__main__": 2022-11-23T01:30:36.6206466Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6206590Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6206798Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6206997Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6207111Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6207116Z 2022-11-23T01:30:36.6207183Z ok (0.024s) 2022-11-23T01:30:36.6207530Z test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:28,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6207850Z [2022-11-23 01:29:28,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6208053Z [2022-11-23 01:29:28,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6208305Z [2022-11-23 01:29:28,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6208673Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6209053Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6209426Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6209786Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6210170Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6210261Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6210351Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6210424Z 4 BINARY_ADD 2022-11-23T01:30:36.6210504Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6210580Z 8 RETURN_VALUE 2022-11-23T01:30:36.6210640Z 2022-11-23T01:30:36.6210645Z 2022-11-23T01:30:36.6210955Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6211165Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6211403Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6211677Z [2022-11-23 01:29:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6211917Z [2022-11-23 01:29:28,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6212146Z [2022-11-23 01:29:28,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6212571Z [2022-11-23 01:29:28,671] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6212821Z [2022-11-23 01:29:28,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6213054Z [2022-11-23 01:29:28,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6213336Z [2022-11-23 01:29:28,672] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6213586Z [2022-11-23 01:29:28,675] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6213775Z [2022-11-23 01:29:28,675] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6213908Z __compiled_fn_473 .3657 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6214000Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6214075Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6214251Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6214345Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6214350Z 2022-11-23T01:30:36.6214676Z [2022-11-23 01:29:28,675] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6214774Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6214863Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6214950Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6215039Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6215111Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6215198Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6215274Z 12 RETURN_VALUE 2022-11-23T01:30:36.6215280Z 2022-11-23T01:30:36.6215344Z 2022-11-23T01:30:36.6215668Z [2022-11-23 01:29:28,676] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6215776Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_473) 2022-11-23T01:30:36.6215865Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6215952Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6216018Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6216105Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6216193Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6216267Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6216353Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6216456Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6216556Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6216633Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6216708Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6216794Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6216869Z 26 RETURN_VALUE 2022-11-23T01:30:36.6216874Z 2022-11-23T01:30:36.6216933Z 2022-11-23T01:30:36.6217116Z [2022-11-23 01:29:28,676] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6217184Z - 2022-11-23T01:30:36.6217290Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6217356Z { 2022-11-23T01:30:36.6217496Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6217683Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6217800Z 'obj_weakref': None 2022-11-23T01:30:36.6218023Z 'guarded_class': 2022-11-23T01:30:36.6218087Z } 2022-11-23T01:30:36.6218138Z 2022-11-23T01:30:36.6218207Z - 2022-11-23T01:30:36.6218355Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6218421Z { 2022-11-23T01:30:36.6218566Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6218671Z 'code': None, 2022-11-23T01:30:36.6218880Z 'obj_weakref': 2022-11-23T01:30:36.6219119Z 'guarded_class': 2022-11-23T01:30:36.6219212Z } 2022-11-23T01:30:36.6219276Z 2022-11-23T01:30:36.6219345Z - 2022-11-23T01:30:36.6219470Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6219533Z { 2022-11-23T01:30:36.6219674Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6219768Z 'code': None, 2022-11-23T01:30:36.6219980Z 'obj_weakref': 2022-11-23T01:30:36.6220232Z 'guarded_class': 2022-11-23T01:30:36.6220299Z } 2022-11-23T01:30:36.6220362Z 2022-11-23T01:30:36.6220431Z - 2022-11-23T01:30:36.6220561Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6220611Z { 2022-11-23T01:30:36.6220745Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6220915Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6221035Z 'obj_weakref': None 2022-11-23T01:30:36.6221266Z 'guarded_class': 2022-11-23T01:30:36.6221331Z } 2022-11-23T01:30:36.6221395Z 2022-11-23T01:30:36.6221451Z - 2022-11-23T01:30:36.6221571Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6221634Z { 2022-11-23T01:30:36.6221771Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6221990Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6222107Z 'obj_weakref': None 2022-11-23T01:30:36.6222329Z 'guarded_class': 2022-11-23T01:30:36.6222379Z } 2022-11-23T01:30:36.6222442Z 2022-11-23T01:30:36.6222700Z [2022-11-23 01:29:28,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 465 2022-11-23T01:30:36.6223071Z [2022-11-23 01:29:30,087] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xr/cxrblxgdip3qjqmts2djdq53rv7a7hkhcmq3l425t3et4ftzyjnt.py 2022-11-23T01:30:36.6223335Z [2022-11-23 01:29:30,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 465 2022-11-23T01:30:36.6223341Z 2022-11-23T01:30:36.6223434Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6223504Z import torch 2022-11-23T01:30:36.6223576Z import random 2022-11-23T01:30:36.6223680Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6223802Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6223807Z 2022-11-23T01:30:36.6223884Z aten = torch.ops.aten 2022-11-23T01:30:36.6224018Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6224109Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6224113Z 2022-11-23T01:30:36.6224120Z 2022-11-23T01:30:36.6224252Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6224458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6224575Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6224669Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.6224769Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6224830Z { 2022-11-23T01:30:36.6224928Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6225018Z { 2022-11-23T01:30:36.6225097Z #pragma omp for 2022-11-23T01:30:36.6225178Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6225227Z { 2022-11-23T01:30:36.6225310Z #pragma GCC ivdep 2022-11-23T01:30:36.6225395Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6225459Z { 2022-11-23T01:30:36.6225524Z { 2022-11-23T01:30:36.6225591Z { 2022-11-23T01:30:36.6225733Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6225821Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6225934Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6226026Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6226120Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6226189Z } 2022-11-23T01:30:36.6226252Z } 2022-11-23T01:30:36.6226318Z } 2022-11-23T01:30:36.6226370Z } 2022-11-23T01:30:36.6226432Z } 2022-11-23T01:30:36.6226491Z } 2022-11-23T01:30:36.6226572Z ''') 2022-11-23T01:30:36.6226577Z 2022-11-23T01:30:36.6226581Z 2022-11-23T01:30:36.6226670Z async_compile.wait(globals()) 2022-11-23T01:30:36.6226741Z del async_compile 2022-11-23T01:30:36.6226746Z 2022-11-23T01:30:36.6226815Z def call(args): 2022-11-23T01:30:36.6226878Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6226950Z args.clear() 2022-11-23T01:30:36.6227159Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6227322Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6227392Z del arg0_1 2022-11-23T01:30:36.6227457Z del arg1_1 2022-11-23T01:30:36.6227529Z return (buf0, ) 2022-11-23T01:30:36.6227534Z 2022-11-23T01:30:36.6227538Z 2022-11-23T01:30:36.6227614Z if __name__ == "__main__": 2022-11-23T01:30:36.6227717Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6227840Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6228048Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6228245Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6228358Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6228363Z 2022-11-23T01:30:36.6228432Z ok (1.422s) 2022-11-23T01:30:36.6228775Z test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6229092Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6229295Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6229548Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6229824Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6230144Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6230494Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6230817Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6231195Z [2022-11-23 01:29:30,092] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6231317Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6231409Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6231482Z 4 BINARY_ADD 2022-11-23T01:30:36.6231557Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6231632Z 8 RETURN_VALUE 2022-11-23T01:30:36.6231692Z 2022-11-23T01:30:36.6231697Z 2022-11-23T01:30:36.6232006Z [2022-11-23 01:29:30,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6238544Z [2022-11-23 01:29:30,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6238939Z [2022-11-23 01:29:30,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6239244Z [2022-11-23 01:29:30,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6239502Z [2022-11-23 01:29:30,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6239754Z [2022-11-23 01:29:30,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6240220Z [2022-11-23 01:29:30,094] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6240477Z [2022-11-23 01:29:30,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6240714Z [2022-11-23 01:29:30,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6240953Z [2022-11-23 01:29:30,095] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6241204Z [2022-11-23 01:29:30,098] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6241397Z [2022-11-23 01:29:30,098] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6241535Z __compiled_fn_474 .3663 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6241628Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6241716Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6241895Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6241976Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6242002Z 2022-11-23T01:30:36.6242316Z [2022-11-23 01:29:30,098] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6242414Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6242504Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6242593Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6242686Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6242774Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6242864Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6242927Z 12 RETURN_VALUE 2022-11-23T01:30:36.6242946Z 2022-11-23T01:30:36.6242994Z 2022-11-23T01:30:36.6243319Z [2022-11-23 01:29:30,098] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6243432Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_474) 2022-11-23T01:30:36.6243523Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6243612Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6243691Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6243781Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6243916Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6243992Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6244080Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6244262Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6244366Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6244454Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6244530Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6244605Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6244682Z 26 RETURN_VALUE 2022-11-23T01:30:36.6244718Z 2022-11-23T01:30:36.6244876Z 2022-11-23T01:30:36.6245064Z [2022-11-23 01:29:30,099] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6245136Z - 2022-11-23T01:30:36.6245259Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6245325Z { 2022-11-23T01:30:36.6245452Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6245643Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6245764Z 'obj_weakref': None 2022-11-23T01:30:36.6245993Z 'guarded_class': 2022-11-23T01:30:36.6246059Z } 2022-11-23T01:30:36.6246126Z 2022-11-23T01:30:36.6246197Z - 2022-11-23T01:30:36.6246308Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6246373Z { 2022-11-23T01:30:36.6246517Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6246626Z 'code': None, 2022-11-23T01:30:36.6246845Z 'obj_weakref': 2022-11-23T01:30:36.6247098Z 'guarded_class': 2022-11-23T01:30:36.6247164Z } 2022-11-23T01:30:36.6247215Z 2022-11-23T01:30:36.6247291Z - 2022-11-23T01:30:36.6247413Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6247479Z { 2022-11-23T01:30:36.6247621Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6247730Z 'code': None, 2022-11-23T01:30:36.6247941Z 'obj_weakref': 2022-11-23T01:30:36.6248183Z 'guarded_class': 2022-11-23T01:30:36.6248249Z } 2022-11-23T01:30:36.6248312Z 2022-11-23T01:30:36.6248382Z - 2022-11-23T01:30:36.6248548Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6248645Z { 2022-11-23T01:30:36.6248796Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6249006Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6249127Z 'obj_weakref': None 2022-11-23T01:30:36.6249357Z 'guarded_class': 2022-11-23T01:30:36.6249423Z } 2022-11-23T01:30:36.6249490Z 2022-11-23T01:30:36.6249568Z - 2022-11-23T01:30:36.6249691Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6249741Z { 2022-11-23T01:30:36.6249878Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6250094Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6250212Z 'obj_weakref': None 2022-11-23T01:30:36.6250437Z 'guarded_class': 2022-11-23T01:30:36.6250504Z } 2022-11-23T01:30:36.6250568Z 2022-11-23T01:30:36.6250819Z [2022-11-23 01:29:30,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 466 2022-11-23T01:30:36.6251189Z [2022-11-23 01:29:31,528] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5y/c5yw2bpyrp7tw6pjvthjk5anfk2ppnoctc6ezfnrlokdzwjnimfi.py 2022-11-23T01:30:36.6251519Z [2022-11-23 01:29:31,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 466 2022-11-23T01:30:36.6251526Z 2022-11-23T01:30:36.6251621Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6251692Z import torch 2022-11-23T01:30:36.6251764Z import random 2022-11-23T01:30:36.6251881Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6252005Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6252010Z 2022-11-23T01:30:36.6252126Z aten = torch.ops.aten 2022-11-23T01:30:36.6252249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6252347Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6252352Z 2022-11-23T01:30:36.6252356Z 2022-11-23T01:30:36.6252491Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6252695Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6252816Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6252922Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.6253021Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6253083Z { 2022-11-23T01:30:36.6253169Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6253231Z { 2022-11-23T01:30:36.6253309Z #pragma omp for 2022-11-23T01:30:36.6253393Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6253458Z { 2022-11-23T01:30:36.6253538Z #pragma GCC ivdep 2022-11-23T01:30:36.6253614Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6253680Z { 2022-11-23T01:30:36.6253745Z { 2022-11-23T01:30:36.6253812Z { 2022-11-23T01:30:36.6253907Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6254002Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.6254116Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6254195Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6254295Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6254363Z } 2022-11-23T01:30:36.6254428Z } 2022-11-23T01:30:36.6254493Z } 2022-11-23T01:30:36.6254557Z } 2022-11-23T01:30:36.6254619Z } 2022-11-23T01:30:36.6254666Z } 2022-11-23T01:30:36.6254746Z ''') 2022-11-23T01:30:36.6254751Z 2022-11-23T01:30:36.6254755Z 2022-11-23T01:30:36.6254846Z async_compile.wait(globals()) 2022-11-23T01:30:36.6254921Z del async_compile 2022-11-23T01:30:36.6254926Z 2022-11-23T01:30:36.6254996Z def call(args): 2022-11-23T01:30:36.6255072Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6255144Z args.clear() 2022-11-23T01:30:36.6255340Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6255509Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6255578Z del arg0_1 2022-11-23T01:30:36.6255646Z del arg1_1 2022-11-23T01:30:36.6255722Z return (buf0, ) 2022-11-23T01:30:36.6255726Z 2022-11-23T01:30:36.6255730Z 2022-11-23T01:30:36.6255808Z if __name__ == "__main__": 2022-11-23T01:30:36.6255924Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6256048Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6256241Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6256437Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6256552Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6256557Z 2022-11-23T01:30:36.6256624Z ok (1.441s) 2022-11-23T01:30:36.6256971Z test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6257316Z [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6257539Z [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6257797Z [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6258076Z [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6258415Z [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6258763Z [2022-11-23 01:29:31,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6259087Z [2022-11-23 01:29:31,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6259470Z [2022-11-23 01:29:31,534] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6259564Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6259658Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6259731Z 4 BINARY_ADD 2022-11-23T01:30:36.6259828Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6259904Z 8 RETURN_VALUE 2022-11-23T01:30:36.6259952Z 2022-11-23T01:30:36.6259956Z 2022-11-23T01:30:36.6260273Z [2022-11-23 01:29:31,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6260482Z [2022-11-23 01:29:31,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6260724Z [2022-11-23 01:29:31,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6260997Z [2022-11-23 01:29:31,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6261238Z [2022-11-23 01:29:31,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6261484Z [2022-11-23 01:29:31,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6261874Z [2022-11-23 01:29:31,535] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6262123Z [2022-11-23 01:29:31,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6262343Z [2022-11-23 01:29:31,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6262600Z [2022-11-23 01:29:31,536] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6262847Z [2022-11-23 01:29:31,539] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6263035Z [2022-11-23 01:29:31,539] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6263171Z __compiled_fn_475 .3669 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6263264Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6263352Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6263531Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6263613Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6263633Z 2022-11-23T01:30:36.6263946Z [2022-11-23 01:29:31,540] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6264042Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6264172Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6264262Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6264355Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6264442Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6264531Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6264594Z 12 RETURN_VALUE 2022-11-23T01:30:36.6264599Z 2022-11-23T01:30:36.6264692Z 2022-11-23T01:30:36.6265018Z [2022-11-23 01:29:31,540] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6265128Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_475) 2022-11-23T01:30:36.6265219Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6265310Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6265387Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6265480Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6265557Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6265633Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6265722Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6265827Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6265929Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6266018Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6266098Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6266173Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6266250Z 26 RETURN_VALUE 2022-11-23T01:30:36.6266255Z 2022-11-23T01:30:36.6266316Z 2022-11-23T01:30:36.6266499Z [2022-11-23 01:29:31,541] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6266572Z - 2022-11-23T01:30:36.6266694Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6266759Z { 2022-11-23T01:30:36.6266888Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6267076Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6267197Z 'obj_weakref': None 2022-11-23T01:30:36.6267425Z 'guarded_class': 2022-11-23T01:30:36.6267494Z } 2022-11-23T01:30:36.6267560Z 2022-11-23T01:30:36.6267629Z - 2022-11-23T01:30:36.6267743Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6267809Z { 2022-11-23T01:30:36.6267952Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6268060Z 'code': None, 2022-11-23T01:30:36.6268274Z 'obj_weakref': 2022-11-23T01:30:36.6268527Z 'guarded_class': 2022-11-23T01:30:36.6268593Z } 2022-11-23T01:30:36.6268647Z 2022-11-23T01:30:36.6268718Z - 2022-11-23T01:30:36.6268841Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6268908Z { 2022-11-23T01:30:36.6269050Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6269158Z 'code': None, 2022-11-23T01:30:36.6269367Z 'obj_weakref': 2022-11-23T01:30:36.6269604Z 'guarded_class': 2022-11-23T01:30:36.6269673Z } 2022-11-23T01:30:36.6269740Z 2022-11-23T01:30:36.6269810Z - 2022-11-23T01:30:36.6269941Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6270006Z { 2022-11-23T01:30:36.6270141Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6270297Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6270417Z 'obj_weakref': None 2022-11-23T01:30:36.6270678Z 'guarded_class': 2022-11-23T01:30:36.6270746Z } 2022-11-23T01:30:36.6270815Z 2022-11-23T01:30:36.6270887Z - 2022-11-23T01:30:36.6271009Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6271060Z { 2022-11-23T01:30:36.6271196Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6271444Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6271564Z 'obj_weakref': None 2022-11-23T01:30:36.6271787Z 'guarded_class': 2022-11-23T01:30:36.6271853Z } 2022-11-23T01:30:36.6271918Z 2022-11-23T01:30:36.6272167Z [2022-11-23 01:29:31,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 467 2022-11-23T01:30:36.6272548Z [2022-11-23 01:29:32,980] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/az/cazqlby2qmunqhgshnh25rtukp4uucq4wyaiacwu6gznncdrkmns.py 2022-11-23T01:30:36.6272814Z [2022-11-23 01:29:32,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 467 2022-11-23T01:30:36.6272821Z 2022-11-23T01:30:36.6272916Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6272987Z import torch 2022-11-23T01:30:36.6273062Z import random 2022-11-23T01:30:36.6273181Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6273304Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6273308Z 2022-11-23T01:30:36.6273375Z aten = torch.ops.aten 2022-11-23T01:30:36.6273510Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6273604Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6273609Z 2022-11-23T01:30:36.6273613Z 2022-11-23T01:30:36.6273749Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6273960Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6274082Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6274187Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6274289Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6274338Z { 2022-11-23T01:30:36.6274436Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6274501Z { 2022-11-23T01:30:36.6274581Z #pragma omp for 2022-11-23T01:30:36.6274664Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6274730Z { 2022-11-23T01:30:36.6274812Z #pragma GCC ivdep 2022-11-23T01:30:36.6274886Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6274951Z { 2022-11-23T01:30:36.6275018Z { 2022-11-23T01:30:36.6275086Z { 2022-11-23T01:30:36.6275182Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6275291Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.6275386Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6275469Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6275538Z } 2022-11-23T01:30:36.6275605Z } 2022-11-23T01:30:36.6275670Z } 2022-11-23T01:30:36.6275735Z } 2022-11-23T01:30:36.6275799Z } 2022-11-23T01:30:36.6275849Z } 2022-11-23T01:30:36.6275928Z ''') 2022-11-23T01:30:36.6275933Z 2022-11-23T01:30:36.6275937Z 2022-11-23T01:30:36.6276027Z async_compile.wait(globals()) 2022-11-23T01:30:36.6276101Z del async_compile 2022-11-23T01:30:36.6276105Z 2022-11-23T01:30:36.6276205Z def call(args): 2022-11-23T01:30:36.6276313Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6276404Z args.clear() 2022-11-23T01:30:36.6276629Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6276864Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6276937Z del arg0_1 2022-11-23T01:30:36.6277006Z del arg1_1 2022-11-23T01:30:36.6277077Z return (buf0, ) 2022-11-23T01:30:36.6277082Z 2022-11-23T01:30:36.6277086Z 2022-11-23T01:30:36.6277163Z if __name__ == "__main__": 2022-11-23T01:30:36.6277278Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6277403Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6277641Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6277826Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6277942Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6277947Z 2022-11-23T01:30:36.6278016Z ok (1.452s) 2022-11-23T01:30:36.6278375Z test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6278696Z [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6278915Z [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6279171Z [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6279451Z [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6279772Z [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6280172Z [2022-11-23 01:29:32,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6280500Z [2022-11-23 01:29:32,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6280888Z [2022-11-23 01:29:32,986] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6280980Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6281074Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6281149Z 4 BINARY_ADD 2022-11-23T01:30:36.6281239Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6281315Z 8 RETURN_VALUE 2022-11-23T01:30:36.6281362Z 2022-11-23T01:30:36.6281383Z 2022-11-23T01:30:36.6281684Z [2022-11-23 01:29:32,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6281896Z [2022-11-23 01:29:32,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6282135Z [2022-11-23 01:29:32,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6282410Z [2022-11-23 01:29:32,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6282650Z [2022-11-23 01:29:32,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6282897Z [2022-11-23 01:29:32,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6283284Z [2022-11-23 01:29:32,987] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6283529Z [2022-11-23 01:29:32,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6283798Z [2022-11-23 01:29:32,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6284042Z [2022-11-23 01:29:32,988] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6284291Z [2022-11-23 01:29:32,991] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6284481Z [2022-11-23 01:29:32,991] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6284671Z __compiled_fn_476 .3675 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6284850Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6284938Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6285122Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6285218Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6285223Z 2022-11-23T01:30:36.6285541Z [2022-11-23 01:29:32,992] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6285637Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6285729Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6285819Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6285913Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6285999Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6286091Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6286166Z 12 RETURN_VALUE 2022-11-23T01:30:36.6286172Z 2022-11-23T01:30:36.6286219Z 2022-11-23T01:30:36.6286544Z [2022-11-23 01:29:32,992] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6286653Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_476) 2022-11-23T01:30:36.6286742Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6286835Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6286918Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6287006Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6287081Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6287158Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6287247Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6287351Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6287456Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6287548Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6287625Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6287715Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6287776Z 26 RETURN_VALUE 2022-11-23T01:30:36.6287782Z 2022-11-23T01:30:36.6287844Z 2022-11-23T01:30:36.6288029Z [2022-11-23 01:29:32,993] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6288100Z - 2022-11-23T01:30:36.6288223Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6288292Z { 2022-11-23T01:30:36.6288433Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6288607Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6288726Z 'obj_weakref': None 2022-11-23T01:30:36.6288951Z 'guarded_class': 2022-11-23T01:30:36.6289020Z } 2022-11-23T01:30:36.6289086Z 2022-11-23T01:30:36.6289157Z - 2022-11-23T01:30:36.6289280Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6289331Z { 2022-11-23T01:30:36.6289472Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6289578Z 'code': None, 2022-11-23T01:30:36.6289790Z 'obj_weakref': 2022-11-23T01:30:36.6290092Z 'guarded_class': 2022-11-23T01:30:36.6290158Z } 2022-11-23T01:30:36.6290222Z 2022-11-23T01:30:36.6290279Z - 2022-11-23T01:30:36.6290402Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6290466Z { 2022-11-23T01:30:36.6290611Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6290719Z 'code': None, 2022-11-23T01:30:36.6290966Z 'obj_weakref': 2022-11-23T01:30:36.6291218Z 'guarded_class': 2022-11-23T01:30:36.6291269Z } 2022-11-23T01:30:36.6291332Z 2022-11-23T01:30:36.6291401Z - 2022-11-23T01:30:36.6291533Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6291597Z { 2022-11-23T01:30:36.6291733Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6291902Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6292006Z 'obj_weakref': None 2022-11-23T01:30:36.6292235Z 'guarded_class': 2022-11-23T01:30:36.6292300Z } 2022-11-23T01:30:36.6292365Z 2022-11-23T01:30:36.6292436Z - 2022-11-23T01:30:36.6292556Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6292622Z { 2022-11-23T01:30:36.6292744Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6292959Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6293076Z 'obj_weakref': None 2022-11-23T01:30:36.6293301Z 'guarded_class': 2022-11-23T01:30:36.6293364Z } 2022-11-23T01:30:36.6293428Z 2022-11-23T01:30:36.6293693Z [2022-11-23 01:29:32,998] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 468 2022-11-23T01:30:36.6294056Z [2022-11-23 01:29:33,006] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wv/cwvcpohwsukizcydnllfkunmvfog54pw6bkgoni7vcskzoaef5oi.py 2022-11-23T01:30:36.6294320Z [2022-11-23 01:29:33,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 468 2022-11-23T01:30:36.6294329Z 2022-11-23T01:30:36.6294426Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6294498Z import torch 2022-11-23T01:30:36.6294572Z import random 2022-11-23T01:30:36.6294688Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6294811Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6294815Z 2022-11-23T01:30:36.6294893Z aten = torch.ops.aten 2022-11-23T01:30:36.6295015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6295109Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6295116Z 2022-11-23T01:30:36.6295120Z 2022-11-23T01:30:36.6295255Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6295459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6295580Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6295683Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6295782Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6295845Z { 2022-11-23T01:30:36.6295929Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6295992Z { 2022-11-23T01:30:36.6296070Z #pragma omp for 2022-11-23T01:30:36.6296154Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6296219Z { 2022-11-23T01:30:36.6296303Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6296367Z { 2022-11-23T01:30:36.6296494Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i1); 2022-11-23T01:30:36.6296666Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6296759Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6296863Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6296929Z } 2022-11-23T01:30:36.6297023Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6297107Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6297186Z { 2022-11-23T01:30:36.6297272Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6297367Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6297455Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6297548Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6297614Z } 2022-11-23T01:30:36.6297679Z } 2022-11-23T01:30:36.6297728Z } 2022-11-23T01:30:36.6297791Z } 2022-11-23T01:30:36.6297873Z ''') 2022-11-23T01:30:36.6297877Z 2022-11-23T01:30:36.6297882Z 2022-11-23T01:30:36.6297973Z async_compile.wait(globals()) 2022-11-23T01:30:36.6298048Z del async_compile 2022-11-23T01:30:36.6298053Z 2022-11-23T01:30:36.6298126Z def call(args): 2022-11-23T01:30:36.6298202Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6298259Z args.clear() 2022-11-23T01:30:36.6298469Z buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6298636Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6298710Z del arg0_1 2022-11-23T01:30:36.6298778Z del arg1_1 2022-11-23T01:30:36.6298850Z return (buf0, ) 2022-11-23T01:30:36.6298855Z 2022-11-23T01:30:36.6298859Z 2022-11-23T01:30:36.6298936Z if __name__ == "__main__": 2022-11-23T01:30:36.6299050Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6299159Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6299368Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6299567Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6299682Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6299687Z 2022-11-23T01:30:36.6299756Z ok (0.026s) 2022-11-23T01:30:36.6300111Z test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6300430Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6300649Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6300904Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6301171Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6301491Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6301838Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6302166Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6302545Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6302639Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6302732Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6302837Z 4 BINARY_ADD 2022-11-23T01:30:36.6302929Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6302993Z 8 RETURN_VALUE 2022-11-23T01:30:36.6303056Z 2022-11-23T01:30:36.6303060Z 2022-11-23T01:30:36.6303374Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6303584Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6303852Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6304232Z [2022-11-23 01:29:33,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6304518Z [2022-11-23 01:29:33,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6304780Z [2022-11-23 01:29:33,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6305172Z [2022-11-23 01:29:33,012] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6305402Z [2022-11-23 01:29:33,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6305639Z [2022-11-23 01:29:33,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6305891Z [2022-11-23 01:29:33,013] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6306142Z [2022-11-23 01:29:33,016] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6306330Z [2022-11-23 01:29:33,016] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6306468Z __compiled_fn_477 .3681 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6306560Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6306648Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6306816Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6306913Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6306918Z 2022-11-23T01:30:36.6307242Z [2022-11-23 01:29:33,017] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6307340Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6307433Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6307522Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6307618Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6307705Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6307780Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6307860Z 12 RETURN_VALUE 2022-11-23T01:30:36.6307865Z 2022-11-23T01:30:36.6307928Z 2022-11-23T01:30:36.6308252Z [2022-11-23 01:29:33,017] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6308360Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_477) 2022-11-23T01:30:36.6308453Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6308548Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6308625Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6308700Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6308789Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6308866Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6308955Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6309060Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6309164Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6309290Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6309354Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6309441Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6309516Z 26 RETURN_VALUE 2022-11-23T01:30:36.6309521Z 2022-11-23T01:30:36.6309582Z 2022-11-23T01:30:36.6309765Z [2022-11-23 01:29:33,017] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6309864Z - 2022-11-23T01:30:36.6309985Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6310038Z { 2022-11-23T01:30:36.6310179Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6310366Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6310485Z 'obj_weakref': None 2022-11-23T01:30:36.6310711Z 'guarded_class': 2022-11-23T01:30:36.6310776Z } 2022-11-23T01:30:36.6310845Z 2022-11-23T01:30:36.6310903Z - 2022-11-23T01:30:36.6311027Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6311091Z { 2022-11-23T01:30:36.6311233Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6311340Z 'code': None, 2022-11-23T01:30:36.6311552Z 'obj_weakref': 2022-11-23T01:30:36.6311807Z 'guarded_class': 2022-11-23T01:30:36.6311861Z } 2022-11-23T01:30:36.6311929Z 2022-11-23T01:30:36.6312000Z - 2022-11-23T01:30:36.6312125Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6312191Z { 2022-11-23T01:30:36.6312333Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6312440Z 'code': None, 2022-11-23T01:30:36.6312639Z 'obj_weakref': 2022-11-23T01:30:36.6312892Z 'guarded_class': 2022-11-23T01:30:36.6312958Z } 2022-11-23T01:30:36.6313027Z 2022-11-23T01:30:36.6313097Z - 2022-11-23T01:30:36.6313227Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6313291Z { 2022-11-23T01:30:36.6313412Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6313584Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6313704Z 'obj_weakref': None 2022-11-23T01:30:36.6313934Z 'guarded_class': 2022-11-23T01:30:36.6314000Z } 2022-11-23T01:30:36.6314065Z 2022-11-23T01:30:36.6314135Z - 2022-11-23T01:30:36.6314241Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6314305Z { 2022-11-23T01:30:36.6314442Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6314659Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6314777Z 'obj_weakref': None 2022-11-23T01:30:36.6314997Z 'guarded_class': 2022-11-23T01:30:36.6315061Z } 2022-11-23T01:30:36.6315111Z 2022-11-23T01:30:36.6315375Z [2022-11-23 01:29:33,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 469 2022-11-23T01:30:36.6315744Z [2022-11-23 01:29:34,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gp/cgpzu32bq3cgddyoh5kgzopt6oq667ks364eeps2dtid7lpb5tkf.py 2022-11-23T01:30:36.6316008Z [2022-11-23 01:29:34,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 469 2022-11-23T01:30:36.6316013Z 2022-11-23T01:30:36.6316106Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6316205Z import torch 2022-11-23T01:30:36.6316277Z import random 2022-11-23T01:30:36.6316394Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6316502Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6316524Z 2022-11-23T01:30:36.6316590Z aten = torch.ops.aten 2022-11-23T01:30:36.6316726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6316820Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6316853Z 2022-11-23T01:30:36.6316857Z 2022-11-23T01:30:36.6316994Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6317199Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6317325Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6317430Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6317516Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6317579Z { 2022-11-23T01:30:36.6317681Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6317744Z { 2022-11-23T01:30:36.6317823Z #pragma omp for 2022-11-23T01:30:36.6317931Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.6318023Z { 2022-11-23T01:30:36.6318148Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:30:36.6318284Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.6318403Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6318511Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6318577Z } 2022-11-23T01:30:36.6318674Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6318757Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.6318807Z { 2022-11-23T01:30:36.6318891Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6318975Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6319057Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6319139Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6319204Z } 2022-11-23T01:30:36.6319266Z } 2022-11-23T01:30:36.6319315Z } 2022-11-23T01:30:36.6319397Z ''') 2022-11-23T01:30:36.6319402Z 2022-11-23T01:30:36.6319406Z 2022-11-23T01:30:36.6319494Z async_compile.wait(globals()) 2022-11-23T01:30:36.6319568Z del async_compile 2022-11-23T01:30:36.6319572Z 2022-11-23T01:30:36.6319642Z def call(args): 2022-11-23T01:30:36.6319718Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6319792Z args.clear() 2022-11-23T01:30:36.6319974Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6320212Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6320284Z del arg0_1 2022-11-23T01:30:36.6320350Z del arg1_1 2022-11-23T01:30:36.6320423Z return (buf0, ) 2022-11-23T01:30:36.6320428Z 2022-11-23T01:30:36.6320432Z 2022-11-23T01:30:36.6320509Z if __name__ == "__main__": 2022-11-23T01:30:36.6320628Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6320752Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6320934Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6321129Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6321245Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6321252Z 2022-11-23T01:30:36.6321320Z ok (1.440s) 2022-11-23T01:30:36.6321680Z test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:34,451] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6322004Z [2022-11-23 01:29:34,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6322227Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6322519Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6322799Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6323107Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6323481Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6323807Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6324192Z [2022-11-23 01:29:34,452] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6324285Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6324377Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6324453Z 4 BINARY_ADD 2022-11-23T01:30:36.6324542Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6324618Z 8 RETURN_VALUE 2022-11-23T01:30:36.6324666Z 2022-11-23T01:30:36.6324670Z 2022-11-23T01:30:36.6325079Z [2022-11-23 01:29:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6325292Z [2022-11-23 01:29:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6325530Z [2022-11-23 01:29:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6325802Z [2022-11-23 01:29:34,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6326044Z [2022-11-23 01:29:34,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6326290Z [2022-11-23 01:29:34,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6326681Z [2022-11-23 01:29:34,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6326930Z [2022-11-23 01:29:34,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6327149Z [2022-11-23 01:29:34,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6327402Z [2022-11-23 01:29:34,456] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6327653Z [2022-11-23 01:29:34,458] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6327842Z [2022-11-23 01:29:34,459] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6327978Z __compiled_fn_478 .3687 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6328068Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6328158Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6328336Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6328420Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6328437Z 2022-11-23T01:30:36.6328764Z [2022-11-23 01:29:34,459] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6328846Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6328936Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6329022Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6329165Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6329252Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6329340Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6329416Z 12 RETURN_VALUE 2022-11-23T01:30:36.6329421Z 2022-11-23T01:30:36.6329480Z 2022-11-23T01:30:36.6329794Z [2022-11-23 01:29:34,459] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6329953Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_478) 2022-11-23T01:30:36.6330043Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6330134Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6330210Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6330301Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6330388Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6330450Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6330539Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6330643Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6330744Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6330831Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6330906Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6330994Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6331056Z 26 RETURN_VALUE 2022-11-23T01:30:36.6331077Z 2022-11-23T01:30:36.6331125Z 2022-11-23T01:30:36.6331308Z [2022-11-23 01:29:34,460] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6331378Z - 2022-11-23T01:30:36.6331497Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6331561Z { 2022-11-23T01:30:36.6331700Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6331870Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6331989Z 'obj_weakref': None 2022-11-23T01:30:36.6332214Z 'guarded_class': 2022-11-23T01:30:36.6332278Z } 2022-11-23T01:30:36.6332342Z 2022-11-23T01:30:36.6332409Z - 2022-11-23T01:30:36.6332532Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6332583Z { 2022-11-23T01:30:36.6332725Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6332834Z 'code': None, 2022-11-23T01:30:36.6333046Z 'obj_weakref': 2022-11-23T01:30:36.6333297Z 'guarded_class': 2022-11-23T01:30:36.6333360Z } 2022-11-23T01:30:36.6333422Z 2022-11-23T01:30:36.6333477Z - 2022-11-23T01:30:36.6333598Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6333660Z { 2022-11-23T01:30:36.6333802Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6333910Z 'code': None, 2022-11-23T01:30:36.6334118Z 'obj_weakref': 2022-11-23T01:30:36.6334367Z 'guarded_class': 2022-11-23T01:30:36.6334432Z } 2022-11-23T01:30:36.6334481Z 2022-11-23T01:30:36.6334552Z - 2022-11-23T01:30:36.6334682Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6334745Z { 2022-11-23T01:30:36.6334877Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6335042Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6335146Z 'obj_weakref': None 2022-11-23T01:30:36.6335372Z 'guarded_class': 2022-11-23T01:30:36.6335435Z } 2022-11-23T01:30:36.6335524Z 2022-11-23T01:30:36.6335595Z - 2022-11-23T01:30:36.6335715Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6335778Z { 2022-11-23T01:30:36.6335898Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6336111Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6336230Z 'obj_weakref': None 2022-11-23T01:30:36.6336486Z 'guarded_class': 2022-11-23T01:30:36.6336549Z } 2022-11-23T01:30:36.6336611Z 2022-11-23T01:30:36.6336873Z [2022-11-23 01:29:34,464] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 470 2022-11-23T01:30:36.6337240Z [2022-11-23 01:29:34,472] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a3/ca3jnra6i4zefyyteu2mfmznmhyy5stkdkjtrkb3gp7rylqkn7x4.py 2022-11-23T01:30:36.6337489Z [2022-11-23 01:29:34,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 470 2022-11-23T01:30:36.6337507Z 2022-11-23T01:30:36.6337588Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6337656Z import torch 2022-11-23T01:30:36.6337724Z import random 2022-11-23T01:30:36.6337838Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6337959Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6337967Z 2022-11-23T01:30:36.6338044Z aten = torch.ops.aten 2022-11-23T01:30:36.6338176Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6338256Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6338261Z 2022-11-23T01:30:36.6338276Z 2022-11-23T01:30:36.6338395Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6338600Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6338721Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6338826Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6338924Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6338984Z { 2022-11-23T01:30:36.6339081Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6339130Z { 2022-11-23T01:30:36.6339206Z #pragma omp for 2022-11-23T01:30:36.6339288Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:30:36.6339351Z { 2022-11-23T01:30:36.6339480Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:30:36.6339612Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.6339700Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6339777Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6339841Z } 2022-11-23T01:30:36.6339938Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6340020Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:30:36.6340082Z { 2022-11-23T01:30:36.6340167Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6340250Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6340319Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6340398Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6340461Z } 2022-11-23T01:30:36.6340522Z } 2022-11-23T01:30:36.6340582Z } 2022-11-23T01:30:36.6340658Z ''') 2022-11-23T01:30:36.6340663Z 2022-11-23T01:30:36.6340668Z 2022-11-23T01:30:36.6340755Z async_compile.wait(globals()) 2022-11-23T01:30:36.6340818Z del async_compile 2022-11-23T01:30:36.6340822Z 2022-11-23T01:30:36.6340893Z def call(args): 2022-11-23T01:30:36.6340967Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6341040Z args.clear() 2022-11-23T01:30:36.6341248Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6341412Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6341480Z del arg0_1 2022-11-23T01:30:36.6341563Z del arg1_1 2022-11-23T01:30:36.6341640Z return (buf0, ) 2022-11-23T01:30:36.6341645Z 2022-11-23T01:30:36.6341649Z 2022-11-23T01:30:36.6341723Z if __name__ == "__main__": 2022-11-23T01:30:36.6341839Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6341963Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6342157Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6342391Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6342504Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6342509Z 2022-11-23T01:30:36.6342563Z ok (0.025s) 2022-11-23T01:30:36.6342919Z test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6343239Z [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6343455Z [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6343805Z [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6344086Z [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6344467Z [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6344820Z [2022-11-23 01:29:34,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6345145Z [2022-11-23 01:29:34,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6345528Z [2022-11-23 01:29:34,477] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6345607Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6345700Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6345774Z 4 BINARY_ADD 2022-11-23T01:30:36.6345866Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6345943Z 8 RETURN_VALUE 2022-11-23T01:30:36.6346004Z 2022-11-23T01:30:36.6346008Z 2022-11-23T01:30:36.6346319Z [2022-11-23 01:29:34,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6346526Z [2022-11-23 01:29:34,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6346752Z [2022-11-23 01:29:34,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6347026Z [2022-11-23 01:29:34,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6347269Z [2022-11-23 01:29:34,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6347515Z [2022-11-23 01:29:34,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6347903Z [2022-11-23 01:29:34,478] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6348144Z [2022-11-23 01:29:34,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6348375Z [2022-11-23 01:29:34,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6348660Z [2022-11-23 01:29:34,479] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6348912Z [2022-11-23 01:29:34,481] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6349087Z [2022-11-23 01:29:34,482] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6349220Z __compiled_fn_479 .3693 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6349339Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6349428Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6349604Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6349699Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6349704Z 2022-11-23T01:30:36.6350027Z [2022-11-23 01:29:34,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6350120Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6350199Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6350286Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6350378Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6350462Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6350550Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6350627Z 12 RETURN_VALUE 2022-11-23T01:30:36.6350634Z 2022-11-23T01:30:36.6350694Z 2022-11-23T01:30:36.6351013Z [2022-11-23 01:29:34,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6351106Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_479) 2022-11-23T01:30:36.6351197Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6351285Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6351365Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6351457Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6351545Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6351620Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6351694Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6351798Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6351900Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6351988Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6352066Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6352164Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6352242Z 26 RETURN_VALUE 2022-11-23T01:30:36.6352247Z 2022-11-23T01:30:36.6352305Z 2022-11-23T01:30:36.6352475Z [2022-11-23 01:29:34,483] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6352545Z - 2022-11-23T01:30:36.6352663Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6352726Z { 2022-11-23T01:30:36.6352867Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6353052Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6353169Z 'obj_weakref': None 2022-11-23T01:30:36.6353381Z 'guarded_class': 2022-11-23T01:30:36.6353446Z } 2022-11-23T01:30:36.6353508Z 2022-11-23T01:30:36.6353580Z - 2022-11-23T01:30:36.6353703Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6353766Z { 2022-11-23T01:30:36.6353896Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6354001Z 'code': None, 2022-11-23T01:30:36.6354210Z 'obj_weakref': 2022-11-23T01:30:36.6354464Z 'guarded_class': 2022-11-23T01:30:36.6354527Z } 2022-11-23T01:30:36.6354617Z 2022-11-23T01:30:36.6354687Z - 2022-11-23T01:30:36.6354798Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6354859Z { 2022-11-23T01:30:36.6354998Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6355107Z 'code': None, 2022-11-23T01:30:36.6355317Z 'obj_weakref': 2022-11-23T01:30:36.6355597Z 'guarded_class': 2022-11-23T01:30:36.6355661Z } 2022-11-23T01:30:36.6355723Z 2022-11-23T01:30:36.6355779Z - 2022-11-23T01:30:36.6355909Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6355973Z { 2022-11-23T01:30:36.6356106Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6356273Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6356393Z 'obj_weakref': None 2022-11-23T01:30:36.6356622Z 'guarded_class': 2022-11-23T01:30:36.6356674Z } 2022-11-23T01:30:36.6356736Z 2022-11-23T01:30:36.6356805Z - 2022-11-23T01:30:36.6356929Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6356992Z { 2022-11-23T01:30:36.6357125Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6357327Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6357445Z 'obj_weakref': None 2022-11-23T01:30:36.6357663Z 'guarded_class': 2022-11-23T01:30:36.6357727Z } 2022-11-23T01:30:36.6357790Z 2022-11-23T01:30:36.6358050Z [2022-11-23 01:29:34,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 471 2022-11-23T01:30:36.6358415Z [2022-11-23 01:29:35,875] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmh734xjfadt5e3yul2rpclhlxk37gld7qoap3yz5biqttom4eu.py 2022-11-23T01:30:36.6358679Z [2022-11-23 01:29:35,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 471 2022-11-23T01:30:36.6358684Z 2022-11-23T01:30:36.6358776Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6358833Z import torch 2022-11-23T01:30:36.6358904Z import random 2022-11-23T01:30:36.6359019Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6359140Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6359145Z 2022-11-23T01:30:36.6359221Z aten = torch.ops.aten 2022-11-23T01:30:36.6359354Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6359445Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6359450Z 2022-11-23T01:30:36.6359454Z 2022-11-23T01:30:36.6359586Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6359781Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6359899Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6360068Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6360170Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6360231Z { 2022-11-23T01:30:36.6360292Z { 2022-11-23T01:30:36.6360358Z { 2022-11-23T01:30:36.6360429Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6360512Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.6360598Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6360677Z out_ptr0[0] = tmp2; 2022-11-23T01:30:36.6360738Z } 2022-11-23T01:30:36.6360800Z } 2022-11-23T01:30:36.6360847Z } 2022-11-23T01:30:36.6360927Z ''') 2022-11-23T01:30:36.6360932Z 2022-11-23T01:30:36.6360937Z 2022-11-23T01:30:36.6361024Z async_compile.wait(globals()) 2022-11-23T01:30:36.6361096Z del async_compile 2022-11-23T01:30:36.6361156Z 2022-11-23T01:30:36.6361228Z def call(args): 2022-11-23T01:30:36.6361302Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6361372Z args.clear() 2022-11-23T01:30:36.6361564Z buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6361714Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6361782Z del arg0_1 2022-11-23T01:30:36.6361876Z del arg1_1 2022-11-23T01:30:36.6361948Z return (buf0, ) 2022-11-23T01:30:36.6361953Z 2022-11-23T01:30:36.6361957Z 2022-11-23T01:30:36.6362032Z if __name__ == "__main__": 2022-11-23T01:30:36.6362144Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6362266Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6362445Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6362635Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6362749Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6362754Z 2022-11-23T01:30:36.6362822Z ok (1.403s) 2022-11-23T01:30:36.6363166Z test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6363482Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6363700Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6363953Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6364229Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6364548Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6365007Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6365332Z [2022-11-23 01:29:35,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6365720Z [2022-11-23 01:29:35,881] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6365812Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6365902Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6365975Z 4 BINARY_ADD 2022-11-23T01:30:36.6366064Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6366141Z 8 RETURN_VALUE 2022-11-23T01:30:36.6366188Z 2022-11-23T01:30:36.6366193Z 2022-11-23T01:30:36.6366509Z [2022-11-23 01:29:35,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6366719Z [2022-11-23 01:29:35,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6366954Z [2022-11-23 01:29:35,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6367230Z [2022-11-23 01:29:35,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6367469Z [2022-11-23 01:29:35,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6367710Z [2022-11-23 01:29:35,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6368142Z [2022-11-23 01:29:35,882] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6368392Z [2022-11-23 01:29:35,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6368622Z [2022-11-23 01:29:35,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6368899Z [2022-11-23 01:29:35,883] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6369150Z [2022-11-23 01:29:35,886] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6369396Z [2022-11-23 01:29:35,886] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6369538Z __compiled_fn_480 .3699 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6369627Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6369718Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6369936Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6370031Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6370036Z 2022-11-23T01:30:36.6370354Z [2022-11-23 01:29:35,886] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6370450Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6370542Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6370628Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6370720Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6370803Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6370890Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6370953Z 12 RETURN_VALUE 2022-11-23T01:30:36.6370971Z 2022-11-23T01:30:36.6371018Z 2022-11-23T01:30:36.6371342Z [2022-11-23 01:29:35,886] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6371449Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_480) 2022-11-23T01:30:36.6371537Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6371626Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6371700Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6371791Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6371864Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6371938Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6372025Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6372127Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6372227Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6372313Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6372388Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6372464Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6372538Z 26 RETURN_VALUE 2022-11-23T01:30:36.6372543Z 2022-11-23T01:30:36.6372603Z 2022-11-23T01:30:36.6372785Z [2022-11-23 01:29:35,887] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6372856Z - 2022-11-23T01:30:36.6372975Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6373038Z { 2022-11-23T01:30:36.6373168Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6373353Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6373472Z 'obj_weakref': None 2022-11-23T01:30:36.6373696Z 'guarded_class': 2022-11-23T01:30:36.6373761Z } 2022-11-23T01:30:36.6373824Z 2022-11-23T01:30:36.6373893Z - 2022-11-23T01:30:36.6374003Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6374099Z { 2022-11-23T01:30:36.6374243Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6374350Z 'code': None, 2022-11-23T01:30:36.6374564Z 'obj_weakref': 2022-11-23T01:30:36.6374816Z 'guarded_class': 2022-11-23T01:30:36.6374881Z } 2022-11-23T01:30:36.6374984Z 2022-11-23T01:30:36.6375041Z - 2022-11-23T01:30:36.6375163Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6375228Z { 2022-11-23T01:30:36.6375367Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6375472Z 'code': None, 2022-11-23T01:30:36.6375683Z 'obj_weakref': 2022-11-23T01:30:36.6375934Z 'guarded_class': 2022-11-23T01:30:36.6375986Z } 2022-11-23T01:30:36.6376049Z 2022-11-23T01:30:36.6376117Z - 2022-11-23T01:30:36.6376246Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6376308Z { 2022-11-23T01:30:36.6376440Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6376594Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6376714Z 'obj_weakref': None 2022-11-23T01:30:36.6376946Z 'guarded_class': 2022-11-23T01:30:36.6377012Z } 2022-11-23T01:30:36.6377074Z 2022-11-23T01:30:36.6377141Z - 2022-11-23T01:30:36.6377262Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6377312Z { 2022-11-23T01:30:36.6377488Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6377755Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6377874Z 'obj_weakref': None 2022-11-23T01:30:36.6378095Z 'guarded_class': 2022-11-23T01:30:36.6378157Z } 2022-11-23T01:30:36.6378220Z 2022-11-23T01:30:36.6378480Z [2022-11-23 01:29:35,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 472 2022-11-23T01:30:36.6378848Z [2022-11-23 01:29:37,342] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qy/cqydvjdhci6hmqfzcnxrcugffbhwq3cacwfuxtkan7sfid3fchmn.py 2022-11-23T01:30:36.6379113Z [2022-11-23 01:29:37,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 472 2022-11-23T01:30:36.6379118Z 2022-11-23T01:30:36.6379212Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6379280Z import torch 2022-11-23T01:30:36.6379348Z import random 2022-11-23T01:30:36.6379464Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6379584Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6379589Z 2022-11-23T01:30:36.6379668Z aten = torch.ops.aten 2022-11-23T01:30:36.6379789Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6379880Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6379885Z 2022-11-23T01:30:36.6379889Z 2022-11-23T01:30:36.6380021Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6380231Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6380349Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6380453Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6380551Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6380612Z { 2022-11-23T01:30:36.6380697Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6380757Z { 2022-11-23T01:30:36.6380834Z #pragma omp for 2022-11-23T01:30:36.6380952Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.6381017Z { 2022-11-23T01:30:36.6381146Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:30:36.6381279Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.6381352Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6381442Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6381532Z } 2022-11-23T01:30:36.6381626Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6381709Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:36.6381770Z { 2022-11-23T01:30:36.6381853Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6381924Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6382007Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6382087Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6382148Z } 2022-11-23T01:30:36.6382210Z } 2022-11-23T01:30:36.6382268Z } 2022-11-23T01:30:36.6382336Z ''') 2022-11-23T01:30:36.6382340Z 2022-11-23T01:30:36.6382358Z 2022-11-23T01:30:36.6382434Z async_compile.wait(globals()) 2022-11-23T01:30:36.6382505Z del async_compile 2022-11-23T01:30:36.6382510Z 2022-11-23T01:30:36.6382580Z def call(args): 2022-11-23T01:30:36.6382657Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6382735Z args.clear() 2022-11-23T01:30:36.6383018Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6383187Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6383243Z del arg0_1 2022-11-23T01:30:36.6383309Z del arg1_1 2022-11-23T01:30:36.6383379Z return (buf0, ) 2022-11-23T01:30:36.6383384Z 2022-11-23T01:30:36.6383388Z 2022-11-23T01:30:36.6383463Z if __name__ == "__main__": 2022-11-23T01:30:36.6383577Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6383700Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6383897Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6384095Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6384196Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6384200Z 2022-11-23T01:30:36.6384267Z ok (1.467s) 2022-11-23T01:30:36.6384611Z test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6385003Z [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6385228Z [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6385537Z [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6385820Z [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6386141Z [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6386486Z [2022-11-23 01:29:37,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6386815Z [2022-11-23 01:29:37,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6387180Z [2022-11-23 01:29:37,348] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6387276Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6387406Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6387483Z 4 BINARY_ADD 2022-11-23T01:30:36.6387573Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6387649Z 8 RETURN_VALUE 2022-11-23T01:30:36.6387709Z 2022-11-23T01:30:36.6387714Z 2022-11-23T01:30:36.6388028Z [2022-11-23 01:29:37,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6388251Z [2022-11-23 01:29:37,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6388488Z [2022-11-23 01:29:37,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6388763Z [2022-11-23 01:29:37,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6389003Z [2022-11-23 01:29:37,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6389248Z [2022-11-23 01:29:37,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6389633Z [2022-11-23 01:29:37,349] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6389878Z [2022-11-23 01:29:37,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6390113Z [2022-11-23 01:29:37,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6390364Z [2022-11-23 01:29:37,350] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6390598Z [2022-11-23 01:29:37,353] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6390785Z [2022-11-23 01:29:37,353] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6390921Z __compiled_fn_481 .3705 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6391010Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6391096Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6391273Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6391367Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6391372Z 2022-11-23T01:30:36.6391696Z [2022-11-23 01:29:37,354] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6391778Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6391868Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6391954Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6392047Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6392134Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6392223Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6392299Z 12 RETURN_VALUE 2022-11-23T01:30:36.6392305Z 2022-11-23T01:30:36.6392364Z 2022-11-23T01:30:36.6392674Z [2022-11-23 01:29:37,354] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6392783Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_481) 2022-11-23T01:30:36.6392872Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6392964Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6393040Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6393125Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6393212Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6393274Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6393364Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6393467Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6393594Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6393685Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6393760Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6393845Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6393907Z 26 RETURN_VALUE 2022-11-23T01:30:36.6393925Z 2022-11-23T01:30:36.6393973Z 2022-11-23T01:30:36.6394152Z [2022-11-23 01:29:37,354] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6394250Z - 2022-11-23T01:30:36.6394368Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6394432Z { 2022-11-23T01:30:36.6394571Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6394745Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6394863Z 'obj_weakref': None 2022-11-23T01:30:36.6395086Z 'guarded_class': 2022-11-23T01:30:36.6395153Z } 2022-11-23T01:30:36.6395216Z 2022-11-23T01:30:36.6395284Z - 2022-11-23T01:30:36.6395406Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6395457Z { 2022-11-23T01:30:36.6395599Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6395703Z 'code': None, 2022-11-23T01:30:36.6395915Z 'obj_weakref': 2022-11-23T01:30:36.6396170Z 'guarded_class': 2022-11-23T01:30:36.6396234Z } 2022-11-23T01:30:36.6396296Z 2022-11-23T01:30:36.6396364Z - 2022-11-23T01:30:36.6396474Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6396536Z { 2022-11-23T01:30:36.6396677Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6396783Z 'code': None, 2022-11-23T01:30:36.6396992Z 'obj_weakref': 2022-11-23T01:30:36.6397240Z 'guarded_class': 2022-11-23T01:30:36.6397306Z } 2022-11-23T01:30:36.6397356Z 2022-11-23T01:30:36.6397424Z - 2022-11-23T01:30:36.6397553Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6397614Z { 2022-11-23T01:30:36.6397746Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6397915Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6398032Z 'obj_weakref': None 2022-11-23T01:30:36.6398247Z 'guarded_class': 2022-11-23T01:30:36.6398311Z } 2022-11-23T01:30:36.6398376Z 2022-11-23T01:30:36.6398443Z - 2022-11-23T01:30:36.6398562Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6398628Z { 2022-11-23T01:30:36.6398750Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6399041Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6399163Z 'obj_weakref': None 2022-11-23T01:30:36.6399415Z 'guarded_class': 2022-11-23T01:30:36.6399494Z } 2022-11-23T01:30:36.6399561Z 2022-11-23T01:30:36.6399823Z [2022-11-23 01:29:37,359] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 473 2022-11-23T01:30:36.6400262Z [2022-11-23 01:29:38,774] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmemgotwvflszwdsna4wxw5ikov6uvtxebmsmbvbrfhq6j73aw4w.py 2022-11-23T01:30:36.6400518Z [2022-11-23 01:29:38,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 473 2022-11-23T01:30:36.6400539Z 2022-11-23T01:30:36.6400661Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6400733Z import torch 2022-11-23T01:30:36.6400803Z import random 2022-11-23T01:30:36.6400917Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6401036Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6401041Z 2022-11-23T01:30:36.6401119Z aten = torch.ops.aten 2022-11-23T01:30:36.6401252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6401359Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6401364Z 2022-11-23T01:30:36.6401380Z 2022-11-23T01:30:36.6401501Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6401709Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6401829Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6401934Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.6402037Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6402098Z { 2022-11-23T01:30:36.6402197Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6402245Z { 2022-11-23T01:30:36.6402322Z #pragma omp for 2022-11-23T01:30:36.6402404Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:30:36.6402467Z { 2022-11-23T01:30:36.6402529Z { 2022-11-23T01:30:36.6402593Z { 2022-11-23T01:30:36.6402670Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6402763Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:36.6402868Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6402958Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6403041Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6403104Z } 2022-11-23T01:30:36.6403167Z } 2022-11-23T01:30:36.6403217Z } 2022-11-23T01:30:36.6403278Z } 2022-11-23T01:30:36.6403338Z } 2022-11-23T01:30:36.6403415Z ''') 2022-11-23T01:30:36.6403423Z 2022-11-23T01:30:36.6403427Z 2022-11-23T01:30:36.6403515Z async_compile.wait(globals()) 2022-11-23T01:30:36.6403585Z del async_compile 2022-11-23T01:30:36.6403590Z 2022-11-23T01:30:36.6403658Z def call(args): 2022-11-23T01:30:36.6403732Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6403791Z args.clear() 2022-11-23T01:30:36.6403988Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6404152Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6404219Z del arg0_1 2022-11-23T01:30:36.6404285Z del arg1_1 2022-11-23T01:30:36.6404355Z return (buf0, ) 2022-11-23T01:30:36.6404360Z 2022-11-23T01:30:36.6404364Z 2022-11-23T01:30:36.6404438Z if __name__ == "__main__": 2022-11-23T01:30:36.6404540Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6404660Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6404966Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6405166Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6405280Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6405285Z 2022-11-23T01:30:36.6405351Z ok (1.431s) 2022-11-23T01:30:36.6405686Z test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6406004Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6406219Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6406457Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6406788Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6407112Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6407461Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6407821Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6408203Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6408295Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6408386Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6408461Z 4 BINARY_ADD 2022-11-23T01:30:36.6408536Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6408611Z 8 RETURN_VALUE 2022-11-23T01:30:36.6408670Z 2022-11-23T01:30:36.6408675Z 2022-11-23T01:30:36.6408988Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6409201Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6409436Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6409708Z [2022-11-23 01:29:38,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6409946Z [2022-11-23 01:29:38,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6410194Z [2022-11-23 01:29:38,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6410567Z [2022-11-23 01:29:38,781] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6410812Z [2022-11-23 01:29:38,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6411047Z [2022-11-23 01:29:38,781] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6411300Z [2022-11-23 01:29:38,782] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6411547Z [2022-11-23 01:29:38,784] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6411734Z [2022-11-23 01:29:38,785] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6411870Z __compiled_fn_482 .3711 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6411960Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6412033Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6412209Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6412303Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6412308Z 2022-11-23T01:30:36.6412631Z [2022-11-23 01:29:38,785] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6412726Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6412814Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6412900Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6412992Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6413063Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6413150Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6413259Z 12 RETURN_VALUE 2022-11-23T01:30:36.6413264Z 2022-11-23T01:30:36.6413325Z 2022-11-23T01:30:36.6413644Z [2022-11-23 01:29:38,785] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6413751Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_482) 2022-11-23T01:30:36.6413840Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6413961Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6414025Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6414115Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6414204Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6414279Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6414366Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6414466Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6414569Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6414644Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6414718Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6414804Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6414878Z 26 RETURN_VALUE 2022-11-23T01:30:36.6414883Z 2022-11-23T01:30:36.6414943Z 2022-11-23T01:30:36.6415125Z [2022-11-23 01:29:38,786] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6415197Z - 2022-11-23T01:30:36.6415303Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6415368Z { 2022-11-23T01:30:36.6415507Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6415691Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6415809Z 'obj_weakref': None 2022-11-23T01:30:36.6416033Z 'guarded_class': 2022-11-23T01:30:36.6416097Z } 2022-11-23T01:30:36.6416150Z 2022-11-23T01:30:36.6416218Z - 2022-11-23T01:30:36.6416340Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6416404Z { 2022-11-23T01:30:36.6416546Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6416652Z 'code': None, 2022-11-23T01:30:36.6416862Z 'obj_weakref': 2022-11-23T01:30:36.6417105Z 'guarded_class': 2022-11-23T01:30:36.6417169Z } 2022-11-23T01:30:36.6417230Z 2022-11-23T01:30:36.6417301Z - 2022-11-23T01:30:36.6417424Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6417486Z { 2022-11-23T01:30:36.6417627Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6417720Z 'code': None, 2022-11-23T01:30:36.6417933Z 'obj_weakref': 2022-11-23T01:30:36.6418183Z 'guarded_class': 2022-11-23T01:30:36.6418245Z } 2022-11-23T01:30:36.6418306Z 2022-11-23T01:30:36.6418374Z - 2022-11-23T01:30:36.6418503Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6418553Z { 2022-11-23T01:30:36.6418685Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6418857Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6418975Z 'obj_weakref': None 2022-11-23T01:30:36.6419206Z 'guarded_class': 2022-11-23T01:30:36.6419269Z } 2022-11-23T01:30:36.6419332Z 2022-11-23T01:30:36.6419388Z - 2022-11-23T01:30:36.6419509Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6419571Z { 2022-11-23T01:30:36.6419735Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6419954Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6420076Z 'obj_weakref': None 2022-11-23T01:30:36.6420297Z 'guarded_class': 2022-11-23T01:30:36.6420348Z } 2022-11-23T01:30:36.6420412Z 2022-11-23T01:30:36.6420715Z [2022-11-23 01:29:38,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 474 2022-11-23T01:30:36.6421082Z [2022-11-23 01:29:40,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6lfe5lq26pxafwvo5huoatc2zj4hdayshpmaenceh4rxbgmeip.py 2022-11-23T01:30:36.6421347Z [2022-11-23 01:29:40,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 474 2022-11-23T01:30:36.6421353Z 2022-11-23T01:30:36.6421446Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6421517Z import torch 2022-11-23T01:30:36.6421586Z import random 2022-11-23T01:30:36.6421687Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6421810Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6421815Z 2022-11-23T01:30:36.6421892Z aten = torch.ops.aten 2022-11-23T01:30:36.6422026Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6422121Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6422128Z 2022-11-23T01:30:36.6422132Z 2022-11-23T01:30:36.6422268Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6422472Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6422590Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6422693Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.6422779Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6422838Z { 2022-11-23T01:30:36.6422939Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6423001Z { 2022-11-23T01:30:36.6423079Z #pragma omp for 2022-11-23T01:30:36.6423163Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6423212Z { 2022-11-23T01:30:36.6423277Z { 2022-11-23T01:30:36.6423341Z { 2022-11-23T01:30:36.6423433Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6423525Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6423637Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6423727Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6423798Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6423869Z } 2022-11-23T01:30:36.6423963Z } 2022-11-23T01:30:36.6424054Z } 2022-11-23T01:30:36.6424139Z } 2022-11-23T01:30:36.6424199Z } 2022-11-23T01:30:36.6424280Z ''') 2022-11-23T01:30:36.6424285Z 2022-11-23T01:30:36.6424289Z 2022-11-23T01:30:36.6424369Z async_compile.wait(globals()) 2022-11-23T01:30:36.6424443Z del async_compile 2022-11-23T01:30:36.6424449Z 2022-11-23T01:30:36.6424552Z def call(args): 2022-11-23T01:30:36.6424647Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6424719Z args.clear() 2022-11-23T01:30:36.6424915Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6425075Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6425133Z del arg0_1 2022-11-23T01:30:36.6425199Z del arg1_1 2022-11-23T01:30:36.6425269Z return (buf0, ) 2022-11-23T01:30:36.6425274Z 2022-11-23T01:30:36.6425278Z 2022-11-23T01:30:36.6425354Z if __name__ == "__main__": 2022-11-23T01:30:36.6425473Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6425599Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6425789Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6426019Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6426122Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6426141Z 2022-11-23T01:30:36.6426196Z ok (1.431s) 2022-11-23T01:30:36.6426544Z test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6426895Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6427114Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6427367Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6427645Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6427963Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6428310Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6428630Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6429000Z [2022-11-23 01:29:40,211] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6429092Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6429180Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6429254Z 4 BINARY_ADD 2022-11-23T01:30:36.6429348Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6429427Z 8 RETURN_VALUE 2022-11-23T01:30:36.6429488Z 2022-11-23T01:30:36.6429493Z 2022-11-23T01:30:36.6429803Z [2022-11-23 01:29:40,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6429997Z [2022-11-23 01:29:40,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6430239Z [2022-11-23 01:29:40,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6430514Z [2022-11-23 01:29:40,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6430756Z [2022-11-23 01:29:40,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6431000Z [2022-11-23 01:29:40,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6431383Z [2022-11-23 01:29:40,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6431627Z [2022-11-23 01:29:40,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6431862Z [2022-11-23 01:29:40,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6432116Z [2022-11-23 01:29:40,214] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6432361Z [2022-11-23 01:29:40,217] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6432536Z [2022-11-23 01:29:40,217] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6432671Z __compiled_fn_483 .3717 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6432786Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6432876Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6433055Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6433149Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6433154Z 2022-11-23T01:30:36.6433480Z [2022-11-23 01:29:40,217] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6433601Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6433678Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6433764Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6433856Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6433939Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6434024Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6434099Z 12 RETURN_VALUE 2022-11-23T01:30:36.6434105Z 2022-11-23T01:30:36.6434167Z 2022-11-23T01:30:36.6434477Z [2022-11-23 01:29:40,218] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6434587Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_483) 2022-11-23T01:30:36.6434674Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6434763Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6434841Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6434928Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6435014Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6435088Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6435162Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6435263Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6435362Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6435450Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6435525Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6435610Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6435684Z 26 RETURN_VALUE 2022-11-23T01:30:36.6435689Z 2022-11-23T01:30:36.6435737Z 2022-11-23T01:30:36.6435918Z [2022-11-23 01:29:40,218] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6435988Z - 2022-11-23T01:30:36.6436106Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6436172Z { 2022-11-23T01:30:36.6436309Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6436492Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6436599Z 'obj_weakref': None 2022-11-23T01:30:36.6436824Z 'guarded_class': 2022-11-23T01:30:36.6436888Z } 2022-11-23T01:30:36.6436951Z 2022-11-23T01:30:36.6437018Z - 2022-11-23T01:30:36.6437143Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6437206Z { 2022-11-23T01:30:36.6437335Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6437440Z 'code': None, 2022-11-23T01:30:36.6437648Z 'obj_weakref': 2022-11-23T01:30:36.6437898Z 'guarded_class': 2022-11-23T01:30:36.6437965Z } 2022-11-23T01:30:36.6438027Z 2022-11-23T01:30:36.6438094Z - 2022-11-23T01:30:36.6438201Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6438263Z { 2022-11-23T01:30:36.6438404Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6438508Z 'code': None, 2022-11-23T01:30:36.6438717Z 'obj_weakref': 2022-11-23T01:30:36.6438995Z 'guarded_class': 2022-11-23T01:30:36.6439060Z } 2022-11-23T01:30:36.6439110Z 2022-11-23T01:30:36.6439179Z - 2022-11-23T01:30:36.6439307Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6439369Z { 2022-11-23T01:30:36.6439543Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6439747Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6439897Z 'obj_weakref': None 2022-11-23T01:30:36.6440228Z 'guarded_class': 2022-11-23T01:30:36.6440296Z } 2022-11-23T01:30:36.6440359Z 2022-11-23T01:30:36.6440430Z - 2022-11-23T01:30:36.6440550Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6440613Z { 2022-11-23T01:30:36.6440748Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6440952Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6441069Z 'obj_weakref': None 2022-11-23T01:30:36.6441289Z 'guarded_class': 2022-11-23T01:30:36.6441351Z } 2022-11-23T01:30:36.6441413Z 2022-11-23T01:30:36.6441675Z [2022-11-23 01:29:40,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 475 2022-11-23T01:30:36.6442047Z [2022-11-23 01:29:41,637] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/35/c35l42hexjecejcllxxtgaqdxlcwn2veeuxi3qhmqiretsjhvx7w.py 2022-11-23T01:30:36.6442311Z [2022-11-23 01:29:41,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 475 2022-11-23T01:30:36.6442316Z 2022-11-23T01:30:36.6442397Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6442464Z import torch 2022-11-23T01:30:36.6442535Z import random 2022-11-23T01:30:36.6442648Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6442767Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6442773Z 2022-11-23T01:30:36.6442849Z aten = torch.ops.aten 2022-11-23T01:30:36.6442981Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6443060Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6443076Z 2022-11-23T01:30:36.6443083Z 2022-11-23T01:30:36.6443202Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6443406Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6443524Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6443626Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6443724Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6443786Z { 2022-11-23T01:30:36.6443882Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6443933Z { 2022-11-23T01:30:36.6444009Z #pragma omp for 2022-11-23T01:30:36.6444092Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6444153Z { 2022-11-23T01:30:36.6444233Z #pragma GCC ivdep 2022-11-23T01:30:36.6444316Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6444380Z { 2022-11-23T01:30:36.6444432Z { 2022-11-23T01:30:36.6444497Z { 2022-11-23T01:30:36.6444591Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6444695Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.6444896Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6444993Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6445060Z } 2022-11-23T01:30:36.6445112Z } 2022-11-23T01:30:36.6445173Z } 2022-11-23T01:30:36.6445238Z } 2022-11-23T01:30:36.6445299Z } 2022-11-23T01:30:36.6445417Z } 2022-11-23T01:30:36.6445500Z ''') 2022-11-23T01:30:36.6445505Z 2022-11-23T01:30:36.6445509Z 2022-11-23T01:30:36.6445598Z async_compile.wait(globals()) 2022-11-23T01:30:36.6445656Z del async_compile 2022-11-23T01:30:36.6445661Z 2022-11-23T01:30:36.6445730Z def call(args): 2022-11-23T01:30:36.6445805Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6445877Z args.clear() 2022-11-23T01:30:36.6446075Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6446278Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6446345Z del arg0_1 2022-11-23T01:30:36.6446399Z del arg1_1 2022-11-23T01:30:36.6446469Z return (buf0, ) 2022-11-23T01:30:36.6446474Z 2022-11-23T01:30:36.6446478Z 2022-11-23T01:30:36.6446556Z if __name__ == "__main__": 2022-11-23T01:30:36.6446674Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6446797Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6446990Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6447186Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6447298Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6447303Z 2022-11-23T01:30:36.6447356Z ok (1.433s) 2022-11-23T01:30:36.6447712Z test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6448030Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6448247Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6448501Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6448780Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6449098Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6449442Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6449766Z [2022-11-23 01:29:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6450146Z [2022-11-23 01:29:41,646] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6450224Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6450319Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6450394Z 4 BINARY_ADD 2022-11-23T01:30:36.6450482Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6450557Z 8 RETURN_VALUE 2022-11-23T01:30:36.6450617Z 2022-11-23T01:30:36.6450622Z 2022-11-23T01:30:36.6450936Z [2022-11-23 01:29:41,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6451145Z [2022-11-23 01:29:41,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6451368Z [2022-11-23 01:29:41,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6451642Z [2022-11-23 01:29:41,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6451911Z [2022-11-23 01:29:41,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6452156Z [2022-11-23 01:29:41,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6452541Z [2022-11-23 01:29:41,648] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6452783Z [2022-11-23 01:29:41,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6453045Z [2022-11-23 01:29:41,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6453297Z [2022-11-23 01:29:41,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6453545Z [2022-11-23 01:29:41,653] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6453735Z [2022-11-23 01:29:41,654] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6453856Z __compiled_fn_484 .3723 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6453945Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6454031Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6454209Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6454303Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6454308Z 2022-11-23T01:30:36.6454636Z [2022-11-23 01:29:41,654] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6454729Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6454817Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6454892Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6454983Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6455069Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6455158Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6455233Z 12 RETURN_VALUE 2022-11-23T01:30:36.6455238Z 2022-11-23T01:30:36.6455297Z 2022-11-23T01:30:36.6455618Z [2022-11-23 01:29:41,655] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6455713Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_484) 2022-11-23T01:30:36.6455805Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6455893Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6455970Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6456058Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6456144Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6456218Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6456292Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6456393Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6456496Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6456585Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6456660Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6456747Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6456821Z 26 RETURN_VALUE 2022-11-23T01:30:36.6456825Z 2022-11-23T01:30:36.6456884Z 2022-11-23T01:30:36.6457056Z [2022-11-23 01:29:41,656] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6457126Z - 2022-11-23T01:30:36.6457244Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6457310Z { 2022-11-23T01:30:36.6457449Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6457634Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6457752Z 'obj_weakref': None 2022-11-23T01:30:36.6457991Z 'guarded_class': 2022-11-23T01:30:36.6458058Z } 2022-11-23T01:30:36.6458121Z 2022-11-23T01:30:36.6458191Z - 2022-11-23T01:30:36.6458312Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6458375Z { 2022-11-23T01:30:36.6458503Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6458607Z 'code': None, 2022-11-23T01:30:36.6458821Z 'obj_weakref': 2022-11-23T01:30:36.6459136Z 'guarded_class': 2022-11-23T01:30:36.6459201Z } 2022-11-23T01:30:36.6459263Z 2022-11-23T01:30:36.6459334Z - 2022-11-23T01:30:36.6459455Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6459505Z { 2022-11-23T01:30:36.6459646Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6459754Z 'code': None, 2022-11-23T01:30:36.6459965Z 'obj_weakref': 2022-11-23T01:30:36.6460216Z 'guarded_class': 2022-11-23T01:30:36.6460281Z } 2022-11-23T01:30:36.6460344Z 2022-11-23T01:30:36.6460400Z - 2022-11-23T01:30:36.6460531Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6460596Z { 2022-11-23T01:30:36.6460731Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6460898Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6461016Z 'obj_weakref': None 2022-11-23T01:30:36.6461244Z 'guarded_class': 2022-11-23T01:30:36.6461295Z } 2022-11-23T01:30:36.6461357Z 2022-11-23T01:30:36.6461426Z - 2022-11-23T01:30:36.6461548Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6461612Z { 2022-11-23T01:30:36.6461748Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6461961Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6462067Z 'obj_weakref': None 2022-11-23T01:30:36.6462288Z 'guarded_class': 2022-11-23T01:30:36.6462356Z } 2022-11-23T01:30:36.6462421Z 2022-11-23T01:30:36.6462684Z [2022-11-23 01:29:41,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 476 2022-11-23T01:30:36.6463051Z [2022-11-23 01:29:41,674] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e2/ce2ejvqtj2sa5ta6dzlhzuvnosddbqvvcozrfv37p3qwjy2gcwf3.py 2022-11-23T01:30:36.6463311Z [2022-11-23 01:29:41,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 476 2022-11-23T01:30:36.6463319Z 2022-11-23T01:30:36.6463413Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6463472Z import torch 2022-11-23T01:30:36.6463540Z import random 2022-11-23T01:30:36.6463655Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6463776Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6463782Z 2022-11-23T01:30:36.6463861Z aten = torch.ops.aten 2022-11-23T01:30:36.6463994Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6464089Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6464094Z 2022-11-23T01:30:36.6464098Z 2022-11-23T01:30:36.6464230Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6464422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6464543Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6464647Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6464775Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6464840Z { 2022-11-23T01:30:36.6464937Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6464999Z { 2022-11-23T01:30:36.6465062Z #pragma omp for 2022-11-23T01:30:36.6465143Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.6465207Z { 2022-11-23T01:30:36.6465342Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:30:36.6465519Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.6465604Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6465696Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6465746Z } 2022-11-23T01:30:36.6465840Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6465923Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:36.6465986Z { 2022-11-23T01:30:36.6466068Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:30:36.6466151Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6466235Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6466301Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6466363Z } 2022-11-23T01:30:36.6466426Z } 2022-11-23T01:30:36.6466484Z } 2022-11-23T01:30:36.6466585Z ''') 2022-11-23T01:30:36.6466592Z 2022-11-23T01:30:36.6466597Z 2022-11-23T01:30:36.6466730Z async_compile.wait(globals()) 2022-11-23T01:30:36.6466804Z del async_compile 2022-11-23T01:30:36.6466812Z 2022-11-23T01:30:36.6466871Z def call(args): 2022-11-23T01:30:36.6466947Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6467017Z args.clear() 2022-11-23T01:30:36.6467259Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6467425Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6467493Z del arg0_1 2022-11-23T01:30:36.6467560Z del arg1_1 2022-11-23T01:30:36.6467618Z return (buf0, ) 2022-11-23T01:30:36.6467623Z 2022-11-23T01:30:36.6467645Z 2022-11-23T01:30:36.6467708Z if __name__ == "__main__": 2022-11-23T01:30:36.6467822Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6467945Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6468138Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6468339Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6468455Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6468460Z 2022-11-23T01:30:36.6468527Z ok (0.037s) 2022-11-23T01:30:36.6468858Z test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6469173Z [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6469392Z [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6469647Z [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6469923Z [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6470241Z [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6470589Z [2022-11-23 01:29:41,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6470909Z [2022-11-23 01:29:41,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6471323Z [2022-11-23 01:29:41,680] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6471417Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6471494Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6471567Z 4 BINARY_ADD 2022-11-23T01:30:36.6471655Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6471732Z 8 RETURN_VALUE 2022-11-23T01:30:36.6471822Z 2022-11-23T01:30:36.6471827Z 2022-11-23T01:30:36.6472141Z [2022-11-23 01:29:41,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6472348Z [2022-11-23 01:29:41,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6472589Z [2022-11-23 01:29:41,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6472850Z [2022-11-23 01:29:41,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6473093Z [2022-11-23 01:29:41,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6473338Z [2022-11-23 01:29:41,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6473725Z [2022-11-23 01:29:41,681] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6473970Z [2022-11-23 01:29:41,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6474201Z [2022-11-23 01:29:41,681] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6474453Z [2022-11-23 01:29:41,682] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6474702Z [2022-11-23 01:29:41,684] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6474889Z [2022-11-23 01:29:41,685] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6475021Z __compiled_fn_485 .3729 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6475097Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6475181Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6475360Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6475453Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6475458Z 2022-11-23T01:30:36.6475780Z [2022-11-23 01:29:41,685] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6475872Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6475962Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6476049Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6476128Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6476212Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6476298Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6476374Z 12 RETURN_VALUE 2022-11-23T01:30:36.6476379Z 2022-11-23T01:30:36.6476437Z 2022-11-23T01:30:36.6476758Z [2022-11-23 01:29:41,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6476867Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_485) 2022-11-23T01:30:36.6476943Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6477032Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6477107Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6477198Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6477285Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6477384Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6477473Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6477564Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6477664Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6477752Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6477828Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6477942Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6478016Z 26 RETURN_VALUE 2022-11-23T01:30:36.6478021Z 2022-11-23T01:30:36.6478103Z 2022-11-23T01:30:36.6478352Z [2022-11-23 01:29:41,686] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6478411Z - 2022-11-23T01:30:36.6478527Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6478593Z { 2022-11-23T01:30:36.6478733Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6478920Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6479039Z 'obj_weakref': None 2022-11-23T01:30:36.6479263Z 'guarded_class': 2022-11-23T01:30:36.6479316Z } 2022-11-23T01:30:36.6479378Z 2022-11-23T01:30:36.6479447Z - 2022-11-23T01:30:36.6479571Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6479633Z { 2022-11-23T01:30:36.6479775Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6479879Z 'code': None, 2022-11-23T01:30:36.6480142Z 'obj_weakref': 2022-11-23T01:30:36.6480395Z 'guarded_class': 2022-11-23T01:30:36.6480458Z } 2022-11-23T01:30:36.6480520Z 2022-11-23T01:30:36.6480588Z - 2022-11-23T01:30:36.6480712Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6480775Z { 2022-11-23T01:30:36.6480904Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6481009Z 'code': None, 2022-11-23T01:30:36.6481221Z 'obj_weakref': 2022-11-23T01:30:36.6481473Z 'guarded_class': 2022-11-23T01:30:36.6481540Z } 2022-11-23T01:30:36.6481602Z 2022-11-23T01:30:36.6481670Z - 2022-11-23T01:30:36.6481785Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6481848Z { 2022-11-23T01:30:36.6481981Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6482150Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6482268Z 'obj_weakref': None 2022-11-23T01:30:36.6482500Z 'guarded_class': 2022-11-23T01:30:36.6482565Z } 2022-11-23T01:30:36.6482632Z 2022-11-23T01:30:36.6482727Z - 2022-11-23T01:30:36.6482884Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6482947Z { 2022-11-23T01:30:36.6483083Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6483356Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6483478Z 'obj_weakref': None 2022-11-23T01:30:36.6483687Z 'guarded_class': 2022-11-23T01:30:36.6483749Z } 2022-11-23T01:30:36.6483811Z 2022-11-23T01:30:36.6484069Z [2022-11-23 01:29:41,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 477 2022-11-23T01:30:36.6484485Z [2022-11-23 01:29:43,104] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qv/cqvamehnsijipnh2ukdrv6rfc6bu5yryozklwqswjn7gbmbzxa5e.py 2022-11-23T01:30:36.6484853Z [2022-11-23 01:29:43,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 477 2022-11-23T01:30:36.6484860Z 2022-11-23T01:30:36.6484954Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6485022Z import torch 2022-11-23T01:30:36.6485079Z import random 2022-11-23T01:30:36.6485193Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6485363Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6485368Z 2022-11-23T01:30:36.6485445Z aten = torch.ops.aten 2022-11-23T01:30:36.6485580Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6485671Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6485676Z 2022-11-23T01:30:36.6485680Z 2022-11-23T01:30:36.6485815Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6486019Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6486127Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6486231Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6486331Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6486391Z { 2022-11-23T01:30:36.6486490Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6486550Z { 2022-11-23T01:30:36.6486626Z #pragma omp for 2022-11-23T01:30:36.6486699Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6486761Z { 2022-11-23T01:30:36.6486845Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6486909Z { 2022-11-23T01:30:36.6487054Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6487187Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:30:36.6487274Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6487363Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6487428Z } 2022-11-23T01:30:36.6487518Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6487601Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6487663Z { 2022-11-23T01:30:36.6487758Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6487843Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.6487916Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6488009Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6488072Z } 2022-11-23T01:30:36.6488134Z } 2022-11-23T01:30:36.6488197Z } 2022-11-23T01:30:36.6488255Z } 2022-11-23T01:30:36.6488331Z ''') 2022-11-23T01:30:36.6488336Z 2022-11-23T01:30:36.6488340Z 2022-11-23T01:30:36.6488416Z async_compile.wait(globals()) 2022-11-23T01:30:36.6488488Z del async_compile 2022-11-23T01:30:36.6488493Z 2022-11-23T01:30:36.6488561Z def call(args): 2022-11-23T01:30:36.6488636Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6488711Z args.clear() 2022-11-23T01:30:36.6488910Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6489074Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6489129Z del arg0_1 2022-11-23T01:30:36.6489195Z del arg1_1 2022-11-23T01:30:36.6489266Z return (buf0, ) 2022-11-23T01:30:36.6489271Z 2022-11-23T01:30:36.6489277Z 2022-11-23T01:30:36.6489352Z if __name__ == "__main__": 2022-11-23T01:30:36.6489465Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6489586Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6489783Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6489975Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6490076Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6490093Z 2022-11-23T01:30:36.6490182Z ok (1.430s) 2022-11-23T01:30:36.6490530Z test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:43,109] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6490847Z [2022-11-23 01:29:43,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6491062Z [2022-11-23 01:29:43,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6491344Z [2022-11-23 01:29:43,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6491619Z [2022-11-23 01:29:43,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6491935Z [2022-11-23 01:29:43,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6492285Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6492605Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6492973Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6493068Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6493156Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6493230Z 4 BINARY_ADD 2022-11-23T01:30:36.6493317Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6493393Z 8 RETURN_VALUE 2022-11-23T01:30:36.6493452Z 2022-11-23T01:30:36.6493457Z 2022-11-23T01:30:36.6493769Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6493965Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6494199Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6494470Z [2022-11-23 01:29:43,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6494711Z [2022-11-23 01:29:43,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6494955Z [2022-11-23 01:29:43,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6495340Z [2022-11-23 01:29:43,112] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6495585Z [2022-11-23 01:29:43,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6495817Z [2022-11-23 01:29:43,112] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6496071Z [2022-11-23 01:29:43,113] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6496319Z [2022-11-23 01:29:43,115] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6496494Z [2022-11-23 01:29:43,115] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6496625Z __compiled_fn_486 .3735 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6496713Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6496800Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6496976Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6497095Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6497102Z 2022-11-23T01:30:36.6497431Z [2022-11-23 01:29:43,116] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6497523Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6497601Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6497686Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6497810Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6497894Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6497982Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6498056Z 12 RETURN_VALUE 2022-11-23T01:30:36.6498061Z 2022-11-23T01:30:36.6498122Z 2022-11-23T01:30:36.6498434Z [2022-11-23 01:29:43,116] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6498547Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_486) 2022-11-23T01:30:36.6498634Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6498722Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6498799Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6498884Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6498969Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6499046Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6499121Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6499224Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6499327Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6499415Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6499491Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6499578Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6499654Z 26 RETURN_VALUE 2022-11-23T01:30:36.6499661Z 2022-11-23T01:30:36.6499708Z 2022-11-23T01:30:36.6499889Z [2022-11-23 01:29:43,116] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6499958Z - 2022-11-23T01:30:36.6500076Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6500140Z { 2022-11-23T01:30:36.6500278Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6500463Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6500573Z 'obj_weakref': None 2022-11-23T01:30:36.6500799Z 'guarded_class': 2022-11-23T01:30:36.6500863Z } 2022-11-23T01:30:36.6500927Z 2022-11-23T01:30:36.6500994Z - 2022-11-23T01:30:36.6501116Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6501179Z { 2022-11-23T01:30:36.6501308Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6501416Z 'code': None, 2022-11-23T01:30:36.6501627Z 'obj_weakref': 2022-11-23T01:30:36.6501877Z 'guarded_class': 2022-11-23T01:30:36.6501941Z } 2022-11-23T01:30:36.6502004Z 2022-11-23T01:30:36.6502072Z - 2022-11-23T01:30:36.6502180Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6502247Z { 2022-11-23T01:30:36.6502390Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6502500Z 'code': None, 2022-11-23T01:30:36.6502710Z 'obj_weakref': 2022-11-23T01:30:36.6502959Z 'guarded_class': 2022-11-23T01:30:36.6503022Z } 2022-11-23T01:30:36.6503072Z 2022-11-23T01:30:36.6503141Z - 2022-11-23T01:30:36.6503298Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6503365Z { 2022-11-23T01:30:36.6503498Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6503668Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6503786Z 'obj_weakref': None 2022-11-23T01:30:36.6504003Z 'guarded_class': 2022-11-23T01:30:36.6504100Z } 2022-11-23T01:30:36.6504165Z 2022-11-23T01:30:36.6504234Z - 2022-11-23T01:30:36.6504354Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6504418Z { 2022-11-23T01:30:36.6504551Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6504754Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6504872Z 'obj_weakref': None 2022-11-23T01:30:36.6505096Z 'guarded_class': 2022-11-23T01:30:36.6505161Z } 2022-11-23T01:30:36.6505223Z 2022-11-23T01:30:36.6505492Z [2022-11-23 01:29:43,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 478 2022-11-23T01:30:36.6505946Z [2022-11-23 01:29:44,534] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bv/cbvzpjlaflbsrz6ipv7ep2apysgx5auu56yl2m4qav5rnjdkgrnd.py 2022-11-23T01:30:36.6506270Z [2022-11-23 01:29:44,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 478 2022-11-23T01:30:36.6506276Z 2022-11-23T01:30:36.6506357Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6506428Z import torch 2022-11-23T01:30:36.6506498Z import random 2022-11-23T01:30:36.6506612Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6506733Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6506738Z 2022-11-23T01:30:36.6506820Z aten = torch.ops.aten 2022-11-23T01:30:36.6506955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6507033Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6507051Z 2022-11-23T01:30:36.6507056Z 2022-11-23T01:30:36.6507176Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6507380Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6507500Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6507604Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6507703Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6507764Z { 2022-11-23T01:30:36.6507862Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6507911Z { 2022-11-23T01:30:36.6507988Z #pragma omp for 2022-11-23T01:30:36.6508070Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6508132Z { 2022-11-23T01:30:36.6508218Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.6508281Z { 2022-11-23T01:30:36.6508425Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6508536Z auto tmp1 = at::vec::Vectorized(in_ptr1[i0]); 2022-11-23T01:30:36.6508626Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6508729Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.6508799Z } 2022-11-23T01:30:36.6508889Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.6508973Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.6509035Z { 2022-11-23T01:30:36.6509119Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6509205Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6509289Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6509384Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6509446Z } 2022-11-23T01:30:36.6509550Z } 2022-11-23T01:30:36.6509614Z } 2022-11-23T01:30:36.6509661Z } 2022-11-23T01:30:36.6509738Z ''') 2022-11-23T01:30:36.6509742Z 2022-11-23T01:30:36.6509746Z 2022-11-23T01:30:36.6509837Z async_compile.wait(globals()) 2022-11-23T01:30:36.6509909Z del async_compile 2022-11-23T01:30:36.6509914Z 2022-11-23T01:30:36.6509983Z def call(args): 2022-11-23T01:30:36.6510059Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6510171Z args.clear() 2022-11-23T01:30:36.6510366Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6510529Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6510598Z del arg0_1 2022-11-23T01:30:36.6510664Z del arg1_1 2022-11-23T01:30:36.6510736Z return (buf0, ) 2022-11-23T01:30:36.6510741Z 2022-11-23T01:30:36.6510744Z 2022-11-23T01:30:36.6510819Z if __name__ == "__main__": 2022-11-23T01:30:36.6510933Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6511055Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6511240Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6511447Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6511559Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6511565Z 2022-11-23T01:30:36.6511633Z ok (1.430s) 2022-11-23T01:30:36.6511980Z test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6512293Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6512509Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6512764Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6513039Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6513345Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6513690Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6514011Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6514391Z [2022-11-23 01:29:44,540] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6514482Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6514571Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6514643Z 4 BINARY_ADD 2022-11-23T01:30:36.6514730Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6514805Z 8 RETURN_VALUE 2022-11-23T01:30:36.6514853Z 2022-11-23T01:30:36.6514857Z 2022-11-23T01:30:36.6515170Z [2022-11-23 01:29:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6515379Z [2022-11-23 01:29:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6515615Z [2022-11-23 01:29:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6515885Z [2022-11-23 01:29:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6516154Z [2022-11-23 01:29:44,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6516402Z [2022-11-23 01:29:44,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6516791Z [2022-11-23 01:29:44,542] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6517062Z [2022-11-23 01:29:44,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6517283Z [2022-11-23 01:29:44,542] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6517535Z [2022-11-23 01:29:44,543] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6517780Z [2022-11-23 01:29:44,547] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6517967Z [2022-11-23 01:29:44,547] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6518101Z __compiled_fn_487 .3741 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6518189Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6518274Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6518450Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6518534Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6518551Z 2022-11-23T01:30:36.6518860Z [2022-11-23 01:29:44,547] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6518953Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6519042Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6519130Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6519221Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6519307Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6519394Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6519457Z 12 RETURN_VALUE 2022-11-23T01:30:36.6519476Z 2022-11-23T01:30:36.6519524Z 2022-11-23T01:30:36.6519843Z [2022-11-23 01:29:44,548] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6519952Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_487) 2022-11-23T01:30:36.6520128Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6520220Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6520296Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6520383Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6520457Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6520535Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6520626Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6520728Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6520829Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6520918Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6520993Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6521066Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6521143Z 26 RETURN_VALUE 2022-11-23T01:30:36.6521150Z 2022-11-23T01:30:36.6521211Z 2022-11-23T01:30:36.6521397Z [2022-11-23 01:29:44,548] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6521467Z - 2022-11-23T01:30:36.6521583Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6521648Z { 2022-11-23T01:30:36.6521774Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6521960Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6522077Z 'obj_weakref': None 2022-11-23T01:30:36.6522338Z 'guarded_class': 2022-11-23T01:30:36.6522404Z } 2022-11-23T01:30:36.6522466Z 2022-11-23T01:30:36.6522536Z - 2022-11-23T01:30:36.6522646Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6522709Z { 2022-11-23T01:30:36.6522850Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6522955Z 'code': None, 2022-11-23T01:30:36.6523194Z 'obj_weakref': 2022-11-23T01:30:36.6523442Z 'guarded_class': 2022-11-23T01:30:36.6523506Z } 2022-11-23T01:30:36.6523559Z 2022-11-23T01:30:36.6523657Z - 2022-11-23T01:30:36.6523829Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6523892Z { 2022-11-23T01:30:36.6524038Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6524157Z 'code': None, 2022-11-23T01:30:36.6524412Z 'obj_weakref': 2022-11-23T01:30:36.6524649Z 'guarded_class': 2022-11-23T01:30:36.6524712Z } 2022-11-23T01:30:36.6524886Z 2022-11-23T01:30:36.6524971Z - 2022-11-23T01:30:36.6525121Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6525184Z { 2022-11-23T01:30:36.6525316Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6525472Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6525617Z 'obj_weakref': None 2022-11-23T01:30:36.6525847Z 'guarded_class': 2022-11-23T01:30:36.6525911Z } 2022-11-23T01:30:36.6525975Z 2022-11-23T01:30:36.6526045Z - 2022-11-23T01:30:36.6526165Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6526215Z { 2022-11-23T01:30:36.6526349Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6526567Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6526685Z 'obj_weakref': None 2022-11-23T01:30:36.6526905Z 'guarded_class': 2022-11-23T01:30:36.6526969Z } 2022-11-23T01:30:36.6527031Z 2022-11-23T01:30:36.6527277Z [2022-11-23 01:29:44,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 479 2022-11-23T01:30:36.6527642Z [2022-11-23 01:29:45,973] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3v/c3vkpe7xtxwedwnldl4y5e2efj57vgpsajff2lov2yxi3cktmqgp.py 2022-11-23T01:30:36.6527906Z [2022-11-23 01:29:45,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 479 2022-11-23T01:30:36.6527912Z 2022-11-23T01:30:36.6528008Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6528077Z import torch 2022-11-23T01:30:36.6528149Z import random 2022-11-23T01:30:36.6528264Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6528384Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6528389Z 2022-11-23T01:30:36.6528468Z aten = torch.ops.aten 2022-11-23T01:30:36.6528590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6528681Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6528685Z 2022-11-23T01:30:36.6528690Z 2022-11-23T01:30:36.6528824Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6529029Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6529146Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6529311Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6529414Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6529475Z { 2022-11-23T01:30:36.6529559Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6529621Z { 2022-11-23T01:30:36.6529699Z #pragma omp for 2022-11-23T01:30:36.6529782Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.6529846Z { 2022-11-23T01:30:36.6530022Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.6530143Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:36.6530215Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6530304Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6530368Z } 2022-11-23T01:30:36.6530463Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6530546Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:36.6530608Z { 2022-11-23T01:30:36.6530682Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6530765Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.6530846Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6530926Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6530987Z } 2022-11-23T01:30:36.6531047Z } 2022-11-23T01:30:36.6531107Z } 2022-11-23T01:30:36.6531172Z ''') 2022-11-23T01:30:36.6531177Z 2022-11-23T01:30:36.6531194Z 2022-11-23T01:30:36.6531269Z async_compile.wait(globals()) 2022-11-23T01:30:36.6531342Z del async_compile 2022-11-23T01:30:36.6531347Z 2022-11-23T01:30:36.6531420Z def call(args): 2022-11-23T01:30:36.6531493Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6531564Z args.clear() 2022-11-23T01:30:36.6531764Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6531925Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6531981Z del arg0_1 2022-11-23T01:30:36.6532045Z del arg1_1 2022-11-23T01:30:36.6532120Z return (buf0, ) 2022-11-23T01:30:36.6532124Z 2022-11-23T01:30:36.6532128Z 2022-11-23T01:30:36.6532205Z if __name__ == "__main__": 2022-11-23T01:30:36.6532317Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6532500Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6532735Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6532917Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6533031Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6533036Z 2022-11-23T01:30:36.6533102Z ok (1.439s) 2022-11-23T01:30:36.6533436Z test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:45,978] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6533752Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6533971Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6534225Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6534569Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6534894Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6535241Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6535552Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6535968Z [2022-11-23 01:29:45,979] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6536062Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6536154Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6536226Z 4 BINARY_ADD 2022-11-23T01:30:36.6536344Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6536417Z 8 RETURN_VALUE 2022-11-23T01:30:36.6536477Z 2022-11-23T01:30:36.6536482Z 2022-11-23T01:30:36.6536784Z [2022-11-23 01:29:45,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6536996Z [2022-11-23 01:29:45,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6537235Z [2022-11-23 01:29:45,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6537506Z [2022-11-23 01:29:45,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6537746Z [2022-11-23 01:29:45,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6537992Z [2022-11-23 01:29:45,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6538382Z [2022-11-23 01:29:45,981] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6538627Z [2022-11-23 01:29:45,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6538858Z [2022-11-23 01:29:45,981] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6539114Z [2022-11-23 01:29:45,982] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6539351Z [2022-11-23 01:29:45,984] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6539539Z [2022-11-23 01:29:45,984] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6539672Z __compiled_fn_488 .3747 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6539762Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6539852Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6540030Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6540124Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6540129Z 2022-11-23T01:30:36.6540453Z [2022-11-23 01:29:45,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6540534Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6540629Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6540717Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6540810Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6540899Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6540986Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6541062Z 12 RETURN_VALUE 2022-11-23T01:30:36.6541067Z 2022-11-23T01:30:36.6541117Z 2022-11-23T01:30:36.6541443Z [2022-11-23 01:29:45,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6541551Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_488) 2022-11-23T01:30:36.6541640Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6541730Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6541806Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6541893Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6542005Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6542069Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6542157Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6542259Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6542361Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6542449Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6542552Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6542640Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6542702Z 26 RETURN_VALUE 2022-11-23T01:30:36.6542707Z 2022-11-23T01:30:36.6542768Z 2022-11-23T01:30:36.6542950Z [2022-11-23 01:29:45,986] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6543020Z - 2022-11-23T01:30:36.6543138Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6543203Z { 2022-11-23T01:30:36.6543341Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6543514Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6543634Z 'obj_weakref': None 2022-11-23T01:30:36.6543858Z 'guarded_class': 2022-11-23T01:30:36.6543926Z } 2022-11-23T01:30:36.6543989Z 2022-11-23T01:30:36.6544058Z - 2022-11-23T01:30:36.6544184Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6544235Z { 2022-11-23T01:30:36.6544378Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6544487Z 'code': None, 2022-11-23T01:30:36.6544702Z 'obj_weakref': 2022-11-23T01:30:36.6544952Z 'guarded_class': 2022-11-23T01:30:36.6545016Z } 2022-11-23T01:30:36.6545079Z 2022-11-23T01:30:36.6545137Z - 2022-11-23T01:30:36.6545259Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6545322Z { 2022-11-23T01:30:36.6545465Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6545571Z 'code': None, 2022-11-23T01:30:36.6545782Z 'obj_weakref': 2022-11-23T01:30:36.6546034Z 'guarded_class': 2022-11-23T01:30:36.6546100Z } 2022-11-23T01:30:36.6546150Z 2022-11-23T01:30:36.6546220Z - 2022-11-23T01:30:36.6546354Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6546419Z { 2022-11-23T01:30:36.6546551Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6546717Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6546822Z 'obj_weakref': None 2022-11-23T01:30:36.6547054Z 'guarded_class': 2022-11-23T01:30:36.6547117Z } 2022-11-23T01:30:36.6547183Z 2022-11-23T01:30:36.6547256Z - 2022-11-23T01:30:36.6547376Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6547448Z { 2022-11-23T01:30:36.6547635Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6547871Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6547992Z 'obj_weakref': None 2022-11-23T01:30:36.6548275Z 'guarded_class': 2022-11-23T01:30:36.6548340Z } 2022-11-23T01:30:36.6548402Z 2022-11-23T01:30:36.6548662Z [2022-11-23 01:29:45,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 480 2022-11-23T01:30:36.6549068Z [2022-11-23 01:29:47,396] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfugxu76ojxknwk3lbvaorpuv7nbssrtlz3jsom3uoscd2f4oqtq.py 2022-11-23T01:30:36.6549322Z [2022-11-23 01:29:47,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 480 2022-11-23T01:30:36.6549340Z 2022-11-23T01:30:36.6549421Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6549489Z import torch 2022-11-23T01:30:36.6549563Z import random 2022-11-23T01:30:36.6549706Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6549827Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6549832Z 2022-11-23T01:30:36.6549911Z aten = torch.ops.aten 2022-11-23T01:30:36.6550044Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6550124Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6550129Z 2022-11-23T01:30:36.6550133Z 2022-11-23T01:30:36.6550266Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6550471Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6550591Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6550694Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6550791Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6550851Z { 2022-11-23T01:30:36.6550937Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6550999Z { 2022-11-23T01:30:36.6551075Z #pragma omp for 2022-11-23T01:30:36.6551158Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.6551218Z { 2022-11-23T01:30:36.6551354Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.6551486Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.6551572Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6551650Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.6551712Z } 2022-11-23T01:30:36.6551809Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.6551891Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:36.6551952Z { 2022-11-23T01:30:36.6552035Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6552103Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6552183Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6552261Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6552324Z } 2022-11-23T01:30:36.6552388Z } 2022-11-23T01:30:36.6552447Z } 2022-11-23T01:30:36.6552524Z ''') 2022-11-23T01:30:36.6552529Z 2022-11-23T01:30:36.6552534Z 2022-11-23T01:30:36.6552620Z async_compile.wait(globals()) 2022-11-23T01:30:36.6552679Z del async_compile 2022-11-23T01:30:36.6552683Z 2022-11-23T01:30:36.6552755Z def call(args): 2022-11-23T01:30:36.6552829Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6552897Z args.clear() 2022-11-23T01:30:36.6553096Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6553259Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6553328Z del arg0_1 2022-11-23T01:30:36.6553382Z del arg1_1 2022-11-23T01:30:36.6553453Z return (buf0, ) 2022-11-23T01:30:36.6553458Z 2022-11-23T01:30:36.6553461Z 2022-11-23T01:30:36.6553537Z if __name__ == "__main__": 2022-11-23T01:30:36.6553650Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6553774Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6553974Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6554171Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6554283Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6554288Z 2022-11-23T01:30:36.6554341Z ok (1.423s) 2022-11-23T01:30:36.6554706Z test_cpu_dense_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6555024Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6555241Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6555495Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6555816Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6556134Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6556483Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6556803Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6557182Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6557265Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6557353Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6557426Z 4 BINARY_ADD 2022-11-23T01:30:36.6557514Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6557590Z 8 RETURN_VALUE 2022-11-23T01:30:36.6557649Z 2022-11-23T01:30:36.6557654Z 2022-11-23T01:30:36.6557967Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6558177Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6558401Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6558675Z [2022-11-23 01:29:47,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6558917Z [2022-11-23 01:29:47,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6559164Z [2022-11-23 01:29:47,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6559549Z [2022-11-23 01:29:47,404] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6559793Z [2022-11-23 01:29:47,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6560097Z [2022-11-23 01:29:47,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6560356Z [2022-11-23 01:29:47,405] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6560603Z [2022-11-23 01:29:47,407] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6560778Z [2022-11-23 01:29:47,408] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6560915Z __compiled_fn_489 .3753 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6561004Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6561090Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6561266Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6561363Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6561368Z 2022-11-23T01:30:36.6561753Z [2022-11-23 01:29:47,408] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6561848Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6561925Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6562012Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6562104Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6562189Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6562306Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6562381Z 12 RETURN_VALUE 2022-11-23T01:30:36.6562386Z 2022-11-23T01:30:36.6562448Z 2022-11-23T01:30:36.6562770Z [2022-11-23 01:29:47,408] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6562866Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_489) 2022-11-23T01:30:36.6562956Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6563048Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6563126Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6563214Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6563301Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6563377Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6563452Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6563555Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6563657Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6563745Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6563820Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6563905Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6563979Z 26 RETURN_VALUE 2022-11-23T01:30:36.6563984Z 2022-11-23T01:30:36.6564031Z 2022-11-23T01:30:36.6564212Z [2022-11-23 01:29:47,409] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6564283Z - 2022-11-23T01:30:36.6564402Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6564465Z { 2022-11-23T01:30:36.6564602Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6564906Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6565016Z 'obj_weakref': None 2022-11-23T01:30:36.6565238Z 'guarded_class': 2022-11-23T01:30:36.6565306Z } 2022-11-23T01:30:36.6565374Z 2022-11-23T01:30:36.6565442Z - 2022-11-23T01:30:36.6565565Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6565630Z { 2022-11-23T01:30:36.6565757Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6565863Z 'code': None, 2022-11-23T01:30:36.6566076Z 'obj_weakref': 2022-11-23T01:30:36.6566328Z 'guarded_class': 2022-11-23T01:30:36.6566391Z } 2022-11-23T01:30:36.6566454Z 2022-11-23T01:30:36.6566522Z - 2022-11-23T01:30:36.6566629Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6566692Z { 2022-11-23T01:30:36.6566832Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6566940Z 'code': None, 2022-11-23T01:30:36.6567150Z 'obj_weakref': 2022-11-23T01:30:36.6567401Z 'guarded_class': 2022-11-23T01:30:36.6567463Z } 2022-11-23T01:30:36.6567527Z 2022-11-23T01:30:36.6567582Z - 2022-11-23T01:30:36.6567711Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6567775Z { 2022-11-23T01:30:36.6567962Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6568134Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6568252Z 'obj_weakref': None 2022-11-23T01:30:36.6568469Z 'guarded_class': 2022-11-23T01:30:36.6568531Z } 2022-11-23T01:30:36.6568594Z 2022-11-23T01:30:36.6568663Z - 2022-11-23T01:30:36.6568824Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6568887Z { 2022-11-23T01:30:36.6569020Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6569224Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6569342Z 'obj_weakref': None 2022-11-23T01:30:36.6569567Z 'guarded_class': 2022-11-23T01:30:36.6569631Z } 2022-11-23T01:30:36.6569695Z 2022-11-23T01:30:36.6569956Z [2022-11-23 01:29:47,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 481 2022-11-23T01:30:36.6570322Z [2022-11-23 01:29:48,818] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zg/czgaes66ak56j64ibldcp6panbygiajguswkxx3xh7rsoeao73wp.py 2022-11-23T01:30:36.6570586Z [2022-11-23 01:29:48,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 481 2022-11-23T01:30:36.6570595Z 2022-11-23T01:30:36.6570686Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6570743Z import torch 2022-11-23T01:30:36.6570810Z import random 2022-11-23T01:30:36.6570926Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6571046Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6571051Z 2022-11-23T01:30:36.6571127Z aten = torch.ops.aten 2022-11-23T01:30:36.6571260Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6571355Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6571359Z 2022-11-23T01:30:36.6571364Z 2022-11-23T01:30:36.6571483Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6571689Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6571806Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6571912Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.6572014Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6572074Z { 2022-11-23T01:30:36.6572171Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6572232Z { 2022-11-23T01:30:36.6572296Z #pragma omp for 2022-11-23T01:30:36.6572379Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:30:36.6572442Z { 2022-11-23T01:30:36.6572505Z { 2022-11-23T01:30:36.6572568Z { 2022-11-23T01:30:36.6572659Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6572739Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:36.6572848Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6572936Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6573021Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6573084Z } 2022-11-23T01:30:36.6573146Z } 2022-11-23T01:30:36.6573209Z } 2022-11-23T01:30:36.6573257Z } 2022-11-23T01:30:36.6573320Z } 2022-11-23T01:30:36.6573397Z ''') 2022-11-23T01:30:36.6573402Z 2022-11-23T01:30:36.6573406Z 2022-11-23T01:30:36.6573494Z async_compile.wait(globals()) 2022-11-23T01:30:36.6573564Z del async_compile 2022-11-23T01:30:36.6573569Z 2022-11-23T01:30:36.6573637Z def call(args): 2022-11-23T01:30:36.6573711Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6573770Z args.clear() 2022-11-23T01:30:36.6573968Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6574161Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6574230Z del arg0_1 2022-11-23T01:30:36.6574298Z del arg1_1 2022-11-23T01:30:36.6574367Z return (buf0, ) 2022-11-23T01:30:36.6574372Z 2022-11-23T01:30:36.6574377Z 2022-11-23T01:30:36.6574452Z if __name__ == "__main__": 2022-11-23T01:30:36.6574564Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6574673Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6574900Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6575095Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6575209Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6575213Z 2022-11-23T01:30:36.6575279Z ok (1.422s) 2022-11-23T01:30:36.6575608Z test_cpu_dense_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6575923Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6576141Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6576398Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6576754Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6577106Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6577480Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6577808Z [2022-11-23 01:29:48,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6578190Z [2022-11-23 01:29:48,825] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6578284Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6578378Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6578451Z 4 BINARY_ADD 2022-11-23T01:30:36.6578540Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6578603Z 8 RETURN_VALUE 2022-11-23T01:30:36.6578664Z 2022-11-23T01:30:36.6578669Z 2022-11-23T01:30:36.6578986Z [2022-11-23 01:29:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6579200Z [2022-11-23 01:29:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6579435Z [2022-11-23 01:29:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6579708Z [2022-11-23 01:29:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6579948Z [2022-11-23 01:29:48,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6580193Z [2022-11-23 01:29:48,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6580579Z [2022-11-23 01:29:48,826] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6580810Z [2022-11-23 01:29:48,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6581079Z [2022-11-23 01:29:48,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6581335Z [2022-11-23 01:29:48,828] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6581585Z [2022-11-23 01:29:48,830] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6581772Z [2022-11-23 01:29:48,830] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6581937Z __compiled_fn_490 .3759 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6582026Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6582112Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6582277Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6582375Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6582380Z 2022-11-23T01:30:36.6582708Z [2022-11-23 01:29:48,831] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6582801Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6582893Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6582980Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6583072Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6583158Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6583236Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6583313Z 12 RETURN_VALUE 2022-11-23T01:30:36.6583318Z 2022-11-23T01:30:36.6583378Z 2022-11-23T01:30:36.6583703Z [2022-11-23 01:29:48,831] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6583811Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_490) 2022-11-23T01:30:36.6583900Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6583992Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6584069Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6584144Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6584231Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6584306Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6584394Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6584496Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6584600Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6584688Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6584750Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6584837Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6584913Z 26 RETURN_VALUE 2022-11-23T01:30:36.6584918Z 2022-11-23T01:30:36.6584981Z 2022-11-23T01:30:36.6585162Z [2022-11-23 01:29:48,831] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6585231Z - 2022-11-23T01:30:36.6585353Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6585404Z { 2022-11-23T01:30:36.6585544Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6585734Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6585855Z 'obj_weakref': None 2022-11-23T01:30:36.6586077Z 'guarded_class': 2022-11-23T01:30:36.6586144Z } 2022-11-23T01:30:36.6586207Z 2022-11-23T01:30:36.6586262Z - 2022-11-23T01:30:36.6586387Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6586449Z { 2022-11-23T01:30:36.6586590Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6586696Z 'code': None, 2022-11-23T01:30:36.6586909Z 'obj_weakref': 2022-11-23T01:30:36.6587192Z 'guarded_class': 2022-11-23T01:30:36.6587245Z } 2022-11-23T01:30:36.6587307Z 2022-11-23T01:30:36.6587375Z - 2022-11-23T01:30:36.6587497Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6587560Z { 2022-11-23T01:30:36.6587701Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6587806Z 'code': None, 2022-11-23T01:30:36.6588028Z 'obj_weakref': 2022-11-23T01:30:36.6588279Z 'guarded_class': 2022-11-23T01:30:36.6588343Z } 2022-11-23T01:30:36.6588405Z 2022-11-23T01:30:36.6588474Z - 2022-11-23T01:30:36.6588603Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6588668Z { 2022-11-23T01:30:36.6588790Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6588963Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6589082Z 'obj_weakref': None 2022-11-23T01:30:36.6589314Z 'guarded_class': 2022-11-23T01:30:36.6589377Z } 2022-11-23T01:30:36.6589440Z 2022-11-23T01:30:36.6589507Z - 2022-11-23T01:30:36.6589615Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6589682Z { 2022-11-23T01:30:36.6589816Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6590030Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6590148Z 'obj_weakref': None 2022-11-23T01:30:36.6590368Z 'guarded_class': 2022-11-23T01:30:36.6590430Z } 2022-11-23T01:30:36.6590480Z 2022-11-23T01:30:36.6590743Z [2022-11-23 01:29:48,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 482 2022-11-23T01:30:36.6591107Z [2022-11-23 01:29:50,256] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt542gpulbk5vfe2hip3k7nj23prcjbuv7dujy3depqz7qbxq62.py 2022-11-23T01:30:36.6591371Z [2022-11-23 01:29:50,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 482 2022-11-23T01:30:36.6591379Z 2022-11-23T01:30:36.6591471Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6591539Z import torch 2022-11-23T01:30:36.6591608Z import random 2022-11-23T01:30:36.6591722Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6591830Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6591848Z 2022-11-23T01:30:36.6591913Z aten = torch.ops.aten 2022-11-23T01:30:36.6592047Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6592140Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6592147Z 2022-11-23T01:30:36.6592151Z 2022-11-23T01:30:36.6592285Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6592488Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6592605Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6592707Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.6592793Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6592856Z { 2022-11-23T01:30:36.6592951Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6593016Z { 2022-11-23T01:30:36.6593090Z #pragma omp for 2022-11-23T01:30:36.6593171Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6593233Z { 2022-11-23T01:30:36.6593300Z #pragma GCC ivdep 2022-11-23T01:30:36.6593385Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6593447Z { 2022-11-23T01:30:36.6593511Z { 2022-11-23T01:30:36.6598916Z { 2022-11-23T01:30:36.6599104Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6599191Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.6599302Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6599431Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6599547Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6599655Z } 2022-11-23T01:30:36.6599721Z } 2022-11-23T01:30:36.6599791Z } 2022-11-23T01:30:36.6599841Z } 2022-11-23T01:30:36.6599902Z } 2022-11-23T01:30:36.6599962Z } 2022-11-23T01:30:36.6600216Z ''') 2022-11-23T01:30:36.6600222Z 2022-11-23T01:30:36.6600226Z 2022-11-23T01:30:36.6600321Z async_compile.wait(globals()) 2022-11-23T01:30:36.6600394Z del async_compile 2022-11-23T01:30:36.6600399Z 2022-11-23T01:30:36.6600469Z def call(args): 2022-11-23T01:30:36.6600531Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6600605Z args.clear() 2022-11-23T01:30:36.6600815Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6600982Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6601049Z del arg0_1 2022-11-23T01:30:36.6601119Z del arg1_1 2022-11-23T01:30:36.6601191Z return (buf0, ) 2022-11-23T01:30:36.6601198Z 2022-11-23T01:30:36.6601203Z 2022-11-23T01:30:36.6601268Z if __name__ == "__main__": 2022-11-23T01:30:36.6601381Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6601507Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6601709Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6601904Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6602020Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6602025Z 2022-11-23T01:30:36.6602096Z ok (1.438s) 2022-11-23T01:30:36.6602439Z test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:50,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6602758Z [2022-11-23 01:29:50,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6602962Z [2022-11-23 01:29:50,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6603216Z [2022-11-23 01:29:50,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6603492Z [2022-11-23 01:29:50,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6603812Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6604160Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6604481Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6604960Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6605056Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6605146Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6605208Z 4 BINARY_ADD 2022-11-23T01:30:36.6605297Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6605373Z 8 RETURN_VALUE 2022-11-23T01:30:36.6605433Z 2022-11-23T01:30:36.6605438Z 2022-11-23T01:30:36.6605818Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6606034Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6606272Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6606546Z [2022-11-23 01:29:50,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6606827Z [2022-11-23 01:29:50,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6607059Z [2022-11-23 01:29:50,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6607450Z [2022-11-23 01:29:50,264] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6607697Z [2022-11-23 01:29:50,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6607932Z [2022-11-23 01:29:50,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6608185Z [2022-11-23 01:29:50,265] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6608435Z [2022-11-23 01:29:50,268] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6608624Z [2022-11-23 01:29:50,269] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6608759Z __compiled_fn_491 .3765 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6608850Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6608923Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6609102Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6609200Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6609205Z 2022-11-23T01:30:36.6609532Z [2022-11-23 01:29:50,269] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6609625Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6609716Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6609805Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6609897Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6609970Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6610057Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6610133Z 12 RETURN_VALUE 2022-11-23T01:30:36.6610138Z 2022-11-23T01:30:36.6610199Z 2022-11-23T01:30:36.6610520Z [2022-11-23 01:29:50,269] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6610631Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_491) 2022-11-23T01:30:36.6610722Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6610799Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6610876Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6610963Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6611051Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6611128Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6611217Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6611319Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6611408Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6611496Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6611570Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6611656Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6611731Z 26 RETURN_VALUE 2022-11-23T01:30:36.6611763Z 2022-11-23T01:30:36.6611825Z 2022-11-23T01:30:36.6612006Z [2022-11-23 01:29:50,270] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6612076Z - 2022-11-23T01:30:36.6612182Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6612248Z { 2022-11-23T01:30:36.6612388Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6612574Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6612721Z 'obj_weakref': None 2022-11-23T01:30:36.6612947Z 'guarded_class': 2022-11-23T01:30:36.6613012Z } 2022-11-23T01:30:36.6613063Z 2022-11-23T01:30:36.6613133Z - 2022-11-23T01:30:36.6613260Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6613327Z { 2022-11-23T01:30:36.6613471Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6613580Z 'code': None, 2022-11-23T01:30:36.6613779Z 'obj_weakref': 2022-11-23T01:30:36.6614032Z 'guarded_class': 2022-11-23T01:30:36.6614096Z } 2022-11-23T01:30:36.6614161Z 2022-11-23T01:30:36.6614228Z - 2022-11-23T01:30:36.6614350Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6614416Z { 2022-11-23T01:30:36.6614544Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6614648Z 'code': None, 2022-11-23T01:30:36.6614856Z 'obj_weakref': 2022-11-23T01:30:36.6615108Z 'guarded_class': 2022-11-23T01:30:36.6615174Z } 2022-11-23T01:30:36.6615237Z 2022-11-23T01:30:36.6615309Z - 2022-11-23T01:30:36.6615438Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6615488Z { 2022-11-23T01:30:36.6615621Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6615791Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6615909Z 'obj_weakref': None 2022-11-23T01:30:36.6616144Z 'guarded_class': 2022-11-23T01:30:36.6616212Z } 2022-11-23T01:30:36.6616275Z 2022-11-23T01:30:36.6616331Z - 2022-11-23T01:30:36.6616451Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6616515Z { 2022-11-23T01:30:36.6616650Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6616867Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6616984Z 'obj_weakref': None 2022-11-23T01:30:36.6617207Z 'guarded_class': 2022-11-23T01:30:36.6617257Z } 2022-11-23T01:30:36.6617320Z 2022-11-23T01:30:36.6617661Z [2022-11-23 01:29:50,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 483 2022-11-23T01:30:36.6618233Z [2022-11-23 01:29:51,707] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x3/cx3marwskeor74qlbntpdduvg32fhejfcrovcwoyok5f3uuyf4v6.py 2022-11-23T01:30:36.6618731Z [2022-11-23 01:29:51,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 483 2022-11-23T01:30:36.6618737Z 2022-11-23T01:30:36.6618833Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6618902Z import torch 2022-11-23T01:30:36.6618973Z import random 2022-11-23T01:30:36.6619075Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6619195Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6619201Z 2022-11-23T01:30:36.6619327Z aten = torch.ops.aten 2022-11-23T01:30:36.6619561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6619724Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6619734Z 2022-11-23T01:30:36.6619742Z 2022-11-23T01:30:36.6619993Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6620254Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6620408Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6620499Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6620598Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6620660Z { 2022-11-23T01:30:36.6620760Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6620822Z { 2022-11-23T01:30:36.6620901Z #pragma omp for 2022-11-23T01:30:36.6621012Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6621103Z { 2022-11-23T01:30:36.6621267Z #pragma GCC ivdep 2022-11-23T01:30:36.6621416Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6621530Z { 2022-11-23T01:30:36.6621646Z { 2022-11-23T01:30:36.6621760Z { 2022-11-23T01:30:36.6621858Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6621965Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.6622062Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6622157Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6622226Z } 2022-11-23T01:30:36.6622292Z } 2022-11-23T01:30:36.6622354Z } 2022-11-23T01:30:36.6622406Z } 2022-11-23T01:30:36.6622467Z } 2022-11-23T01:30:36.6622527Z } 2022-11-23T01:30:36.6622612Z ''') 2022-11-23T01:30:36.6622619Z 2022-11-23T01:30:36.6622625Z 2022-11-23T01:30:36.6622778Z async_compile.wait(globals()) 2022-11-23T01:30:36.6622910Z del async_compile 2022-11-23T01:30:36.6622919Z 2022-11-23T01:30:36.6623043Z def call(args): 2022-11-23T01:30:36.6623157Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6623284Z args.clear() 2022-11-23T01:30:36.6623555Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6623724Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6623795Z del arg0_1 2022-11-23T01:30:36.6623864Z del arg1_1 2022-11-23T01:30:36.6623936Z return (buf0, ) 2022-11-23T01:30:36.6623941Z 2022-11-23T01:30:36.6623945Z 2022-11-23T01:30:36.6624019Z if __name__ == "__main__": 2022-11-23T01:30:36.6624120Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6624242Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6624440Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6624642Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6624756Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6624760Z 2022-11-23T01:30:36.6624827Z ok (1.451s) 2022-11-23T01:30:36.6625174Z test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6625492Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6625714Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6625955Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6626232Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6626586Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6626934Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6627259Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6627676Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6627769Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6627860Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6627933Z 4 BINARY_ADD 2022-11-23T01:30:36.6628010Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6628088Z 8 RETURN_VALUE 2022-11-23T01:30:36.6628150Z 2022-11-23T01:30:36.6628155Z 2022-11-23T01:30:36.6628469Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6628678Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6628916Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6629190Z [2022-11-23 01:29:51,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6629430Z [2022-11-23 01:29:51,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6629676Z [2022-11-23 01:29:51,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6630050Z [2022-11-23 01:29:51,715] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6630294Z [2022-11-23 01:29:51,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6630528Z [2022-11-23 01:29:51,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6630784Z [2022-11-23 01:29:51,717] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6631032Z [2022-11-23 01:29:51,720] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6631219Z [2022-11-23 01:29:51,720] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6631353Z __compiled_fn_492 .3771 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6631442Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6631518Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6631695Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6631791Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6631796Z 2022-11-23T01:30:36.6632121Z [2022-11-23 01:29:51,720] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6632214Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6632307Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6632394Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6632488Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6632560Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6632647Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6632722Z 12 RETURN_VALUE 2022-11-23T01:30:36.6632727Z 2022-11-23T01:30:36.6632787Z 2022-11-23T01:30:36.6633206Z [2022-11-23 01:29:51,720] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6633340Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_492) 2022-11-23T01:30:36.6633431Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6633521Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6633583Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6633702Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6633788Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6633864Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6633951Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6634055Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6634158Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6634235Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6634312Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6634403Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6634478Z 26 RETURN_VALUE 2022-11-23T01:30:36.6634483Z 2022-11-23T01:30:36.6634545Z 2022-11-23T01:30:36.6634734Z [2022-11-23 01:29:51,721] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6634805Z - 2022-11-23T01:30:36.6634910Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6634975Z { 2022-11-23T01:30:36.6635117Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6635304Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6635421Z 'obj_weakref': None 2022-11-23T01:30:36.6635648Z 'guarded_class': 2022-11-23T01:30:36.6635712Z } 2022-11-23T01:30:36.6635763Z 2022-11-23T01:30:36.6635831Z - 2022-11-23T01:30:36.6635954Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6636019Z { 2022-11-23T01:30:36.6636161Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6636265Z 'code': None, 2022-11-23T01:30:36.6636477Z 'obj_weakref': 2022-11-23T01:30:36.6636715Z 'guarded_class': 2022-11-23T01:30:36.6636781Z } 2022-11-23T01:30:36.6636844Z 2022-11-23T01:30:36.6636913Z - 2022-11-23T01:30:36.6637034Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6637106Z { 2022-11-23T01:30:36.6637319Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6637423Z 'code': None, 2022-11-23T01:30:36.6637771Z 'obj_weakref': 2022-11-23T01:30:36.6638228Z 'guarded_class': 2022-11-23T01:30:36.6638336Z } 2022-11-23T01:30:36.6638444Z 2022-11-23T01:30:36.6638543Z - 2022-11-23T01:30:36.6638756Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6638864Z { 2022-11-23T01:30:36.6639088Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6639374Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6639588Z 'obj_weakref': None 2022-11-23T01:30:36.6639954Z 'guarded_class': 2022-11-23T01:30:36.6640144Z } 2022-11-23T01:30:36.6640244Z 2022-11-23T01:30:36.6640341Z - 2022-11-23T01:30:36.6640561Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6640686Z { 2022-11-23T01:30:36.6640930Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6641412Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6641627Z 'obj_weakref': None 2022-11-23T01:30:36.6641950Z 'guarded_class': 2022-11-23T01:30:36.6642003Z } 2022-11-23T01:30:36.6642069Z 2022-11-23T01:30:36.6642334Z [2022-11-23 01:29:51,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 484 2022-11-23T01:30:36.6642753Z [2022-11-23 01:29:53,142] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/77/c77uiqrbhy4ix6tk7aioqm3jtok7sduuuq6idjr7dmcvixychfte.py 2022-11-23T01:30:36.6643017Z [2022-11-23 01:29:53,143] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 484 2022-11-23T01:30:36.6643024Z 2022-11-23T01:30:36.6643120Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6643191Z import torch 2022-11-23T01:30:36.6643262Z import random 2022-11-23T01:30:36.6643365Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6643487Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6643492Z 2022-11-23T01:30:36.6643570Z aten = torch.ops.aten 2022-11-23T01:30:36.6643707Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6643799Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6643804Z 2022-11-23T01:30:36.6643808Z 2022-11-23T01:30:36.6643942Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6644151Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6644272Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.6644376Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6644464Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6644526Z { 2022-11-23T01:30:36.6644625Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6644687Z { 2022-11-23T01:30:36.6644875Z #pragma omp for 2022-11-23T01:30:36.6644960Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6645010Z { 2022-11-23T01:30:36.6645091Z #pragma GCC ivdep 2022-11-23T01:30:36.6645177Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6645241Z { 2022-11-23T01:30:36.6645305Z { 2022-11-23T01:30:36.6645373Z { 2022-11-23T01:30:36.6645480Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6645572Z auto tmp1 = in_ptr1[i0 + (10*i1)]; 2022-11-23T01:30:36.6645668Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6645765Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.6645831Z } 2022-11-23T01:30:36.6645897Z } 2022-11-23T01:30:36.6645961Z } 2022-11-23T01:30:36.6646025Z } 2022-11-23T01:30:36.6646073Z } 2022-11-23T01:30:36.6646137Z } 2022-11-23T01:30:36.6646217Z ''') 2022-11-23T01:30:36.6646224Z 2022-11-23T01:30:36.6646228Z 2022-11-23T01:30:36.6646318Z async_compile.wait(globals()) 2022-11-23T01:30:36.6646391Z del async_compile 2022-11-23T01:30:36.6646395Z 2022-11-23T01:30:36.6646467Z def call(args): 2022-11-23T01:30:36.6646542Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6646601Z args.clear() 2022-11-23T01:30:36.6646802Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6646971Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6647043Z del arg0_1 2022-11-23T01:30:36.6647109Z del arg1_1 2022-11-23T01:30:36.6647182Z return (buf0, ) 2022-11-23T01:30:36.6647187Z 2022-11-23T01:30:36.6647191Z 2022-11-23T01:30:36.6647268Z if __name__ == "__main__": 2022-11-23T01:30:36.6647383Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6647492Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6647748Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6647948Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6648066Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6648070Z 2022-11-23T01:30:36.6648139Z ok (1.435s) 2022-11-23T01:30:36.6648489Z test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6648852Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6649072Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6649324Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6649592Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6649913Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6650262Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6650587Z [2022-11-23 01:29:53,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6650968Z [2022-11-23 01:29:53,149] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6651061Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6651155Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6651229Z 4 BINARY_ADD 2022-11-23T01:30:36.6651317Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6651380Z 8 RETURN_VALUE 2022-11-23T01:30:36.6651441Z 2022-11-23T01:30:36.6651446Z 2022-11-23T01:30:36.6651759Z [2022-11-23 01:29:53,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6651969Z [2022-11-23 01:29:53,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6652206Z [2022-11-23 01:29:53,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6652480Z [2022-11-23 01:29:53,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6652722Z [2022-11-23 01:29:53,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6652971Z [2022-11-23 01:29:53,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6653361Z [2022-11-23 01:29:53,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6653589Z [2022-11-23 01:29:53,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6653831Z [2022-11-23 01:29:53,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6654087Z [2022-11-23 01:29:53,151] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6654336Z [2022-11-23 01:29:53,154] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6654523Z [2022-11-23 01:29:53,154] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6654684Z __compiled_fn_493 .3777 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6654776Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6654863Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6655029Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6655123Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6655128Z 2022-11-23T01:30:36.6655452Z [2022-11-23 01:29:53,154] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6655574Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6655665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6655754Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6655848Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6655932Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6656006Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6656084Z 12 RETURN_VALUE 2022-11-23T01:30:36.6656089Z 2022-11-23T01:30:36.6656153Z 2022-11-23T01:30:36.6656473Z [2022-11-23 01:29:53,154] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6656581Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_493) 2022-11-23T01:30:36.6656672Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6656765Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6656842Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6656917Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6657003Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6657079Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6657167Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6657272Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6657378Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6657468Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6657530Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6657617Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6657693Z 26 RETURN_VALUE 2022-11-23T01:30:36.6657697Z 2022-11-23T01:30:36.6657758Z 2022-11-23T01:30:36.6657945Z [2022-11-23 01:29:53,155] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6658019Z - 2022-11-23T01:30:36.6658140Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6658193Z { 2022-11-23T01:30:36.6658334Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6658521Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6658642Z 'obj_weakref': None 2022-11-23T01:30:36.6658869Z 'guarded_class': 2022-11-23T01:30:36.6658934Z } 2022-11-23T01:30:36.6659002Z 2022-11-23T01:30:36.6659059Z - 2022-11-23T01:30:36.6659183Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6659247Z { 2022-11-23T01:30:36.6659389Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6659496Z 'code': None, 2022-11-23T01:30:36.6659710Z 'obj_weakref': 2022-11-23T01:30:36.6659968Z 'guarded_class': 2022-11-23T01:30:36.6660021Z } 2022-11-23T01:30:36.6660084Z 2022-11-23T01:30:36.6660155Z - 2022-11-23T01:30:36.6660325Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6660418Z { 2022-11-23T01:30:36.6660571Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6660678Z 'code': None, 2022-11-23T01:30:36.6660912Z 'obj_weakref': 2022-11-23T01:30:36.6661167Z 'guarded_class': 2022-11-23T01:30:36.6661234Z } 2022-11-23T01:30:36.6661298Z 2022-11-23T01:30:36.6661369Z - 2022-11-23T01:30:36.6661501Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6661564Z { 2022-11-23T01:30:36.6661715Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6661883Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6662004Z 'obj_weakref': None 2022-11-23T01:30:36.6662235Z 'guarded_class': 2022-11-23T01:30:36.6662303Z } 2022-11-23T01:30:36.6662369Z 2022-11-23T01:30:36.6662439Z - 2022-11-23T01:30:36.6662545Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6662609Z { 2022-11-23T01:30:36.6662749Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6662966Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6663085Z 'obj_weakref': None 2022-11-23T01:30:36.6663307Z 'guarded_class': 2022-11-23T01:30:36.6663372Z } 2022-11-23T01:30:36.6663425Z 2022-11-23T01:30:36.6663687Z [2022-11-23 01:29:53,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 485 2022-11-23T01:30:36.6664062Z [2022-11-23 01:29:54,579] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuiq43qsbk6i2hpndsexdgoktlvhszyvtvcrs4ciylmsrql7k42z.py 2022-11-23T01:30:36.6664329Z [2022-11-23 01:29:54,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 485 2022-11-23T01:30:36.6664334Z 2022-11-23T01:30:36.6664432Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6664503Z import torch 2022-11-23T01:30:36.6664576Z import random 2022-11-23T01:30:36.6664692Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6664799Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6664804Z 2022-11-23T01:30:36.6664883Z aten = torch.ops.aten 2022-11-23T01:30:36.6665017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6665111Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6665117Z 2022-11-23T01:30:36.6665121Z 2022-11-23T01:30:36.6665254Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6665463Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6665586Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6665693Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6665781Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6665844Z { 2022-11-23T01:30:36.6665943Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6666004Z { 2022-11-23T01:30:36.6666082Z #pragma omp for 2022-11-23T01:30:36.6666164Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6666228Z { 2022-11-23T01:30:36.6666295Z #pragma GCC ivdep 2022-11-23T01:30:36.6666381Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6666446Z { 2022-11-23T01:30:36.6666515Z { 2022-11-23T01:30:36.6666584Z { 2022-11-23T01:30:36.6666687Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6666780Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.6666878Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6666972Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6667068Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6667138Z } 2022-11-23T01:30:36.6667232Z } 2022-11-23T01:30:36.6667300Z } 2022-11-23T01:30:36.6667363Z } 2022-11-23T01:30:36.6667412Z } 2022-11-23T01:30:36.6667471Z } 2022-11-23T01:30:36.6667551Z ''') 2022-11-23T01:30:36.6667556Z 2022-11-23T01:30:36.6667560Z 2022-11-23T01:30:36.6667648Z async_compile.wait(globals()) 2022-11-23T01:30:36.6667720Z del async_compile 2022-11-23T01:30:36.6667725Z 2022-11-23T01:30:36.6667794Z def call(args): 2022-11-23T01:30:36.6667897Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6667956Z args.clear() 2022-11-23T01:30:36.6668158Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6668322Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6668390Z del arg0_1 2022-11-23T01:30:36.6668456Z del arg1_1 2022-11-23T01:30:36.6668528Z return (buf0, ) 2022-11-23T01:30:36.6668533Z 2022-11-23T01:30:36.6668536Z 2022-11-23T01:30:36.6668615Z if __name__ == "__main__": 2022-11-23T01:30:36.6668729Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6668840Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6669041Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6669236Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6669352Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6669359Z 2022-11-23T01:30:36.6669426Z ok (1.436s) 2022-11-23T01:30:36.6669774Z test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:54,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6670093Z [2022-11-23 01:29:54,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6670311Z [2022-11-23 01:29:54,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6670553Z [2022-11-23 01:29:54,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6670832Z [2022-11-23 01:29:54,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6671149Z [2022-11-23 01:29:54,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6671501Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6671827Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6672214Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6672306Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6672398Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6672473Z 4 BINARY_ADD 2022-11-23T01:30:36.6672548Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6672624Z 8 RETURN_VALUE 2022-11-23T01:30:36.6672690Z 2022-11-23T01:30:36.6672695Z 2022-11-23T01:30:36.6673010Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6673219Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6673454Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6673754Z [2022-11-23 01:29:54,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6673997Z [2022-11-23 01:29:54,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6674241Z [2022-11-23 01:29:54,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6674614Z [2022-11-23 01:29:54,587] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6674886Z [2022-11-23 01:29:54,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6675124Z [2022-11-23 01:29:54,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6675385Z [2022-11-23 01:29:54,588] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6675636Z [2022-11-23 01:29:54,590] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6675824Z [2022-11-23 01:29:54,590] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6675960Z __compiled_fn_494 .3783 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6676054Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6676143Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6676309Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6676407Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6676412Z 2022-11-23T01:30:36.6676744Z [2022-11-23 01:29:54,591] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6676839Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6676930Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6677019Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6677116Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6677200Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6677276Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6677352Z 12 RETURN_VALUE 2022-11-23T01:30:36.6677357Z 2022-11-23T01:30:36.6677419Z 2022-11-23T01:30:36.6677743Z [2022-11-23 01:29:54,591] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6677853Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_494) 2022-11-23T01:30:36.6677945Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6678035Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6678098Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6678187Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6678275Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6678356Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6678444Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6678605Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6678705Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6678793Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6678857Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6678944Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6679022Z 26 RETURN_VALUE 2022-11-23T01:30:36.6679027Z 2022-11-23T01:30:36.6679088Z 2022-11-23T01:30:36.6679269Z [2022-11-23 01:29:54,592] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6679341Z - 2022-11-23T01:30:36.6679459Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6679512Z { 2022-11-23T01:30:36.6679671Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6679917Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6680187Z 'obj_weakref': None 2022-11-23T01:30:36.6680420Z 'guarded_class': 2022-11-23T01:30:36.6680486Z } 2022-11-23T01:30:36.6680552Z 2022-11-23T01:30:36.6680608Z - 2022-11-23T01:30:36.6680734Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6680800Z { 2022-11-23T01:30:36.6680944Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6681081Z 'code': None, 2022-11-23T01:30:36.6681296Z 'obj_weakref': 2022-11-23T01:30:36.6681549Z 'guarded_class': 2022-11-23T01:30:36.6681602Z } 2022-11-23T01:30:36.6681669Z 2022-11-23T01:30:36.6681743Z - 2022-11-23T01:30:36.6681869Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6681936Z { 2022-11-23T01:30:36.6682081Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6682187Z 'code': None, 2022-11-23T01:30:36.6682387Z 'obj_weakref': 2022-11-23T01:30:36.6682638Z 'guarded_class': 2022-11-23T01:30:36.6682705Z } 2022-11-23T01:30:36.6682770Z 2022-11-23T01:30:36.6682840Z - 2022-11-23T01:30:36.6682974Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6683037Z { 2022-11-23T01:30:36.6683159Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6683328Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6683447Z 'obj_weakref': None 2022-11-23T01:30:36.6683676Z 'guarded_class': 2022-11-23T01:30:36.6683744Z } 2022-11-23T01:30:36.6683810Z 2022-11-23T01:30:36.6683880Z - 2022-11-23T01:30:36.6683988Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6684055Z { 2022-11-23T01:30:36.6684191Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6684405Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6684528Z 'obj_weakref': None 2022-11-23T01:30:36.6684863Z 'guarded_class': 2022-11-23T01:30:36.6684927Z } 2022-11-23T01:30:36.6684977Z 2022-11-23T01:30:36.6685242Z [2022-11-23 01:29:54,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 486 2022-11-23T01:30:36.6685613Z [2022-11-23 01:29:56,017] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2q/c2qbakesqkta3f3bnbvht5mj7rzegvoif7jiq5tjwimnvdx4nkog.py 2022-11-23T01:30:36.6685882Z [2022-11-23 01:29:56,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 486 2022-11-23T01:30:36.6685888Z 2022-11-23T01:30:36.6685982Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6686053Z import torch 2022-11-23T01:30:36.6686125Z import random 2022-11-23T01:30:36.6686241Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6686350Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6686357Z 2022-11-23T01:30:36.6686435Z aten = torch.ops.aten 2022-11-23T01:30:36.6686570Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6686664Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6686669Z 2022-11-23T01:30:36.6686673Z 2022-11-23T01:30:36.6686808Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6687013Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6687202Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6687308Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6687396Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6687458Z { 2022-11-23T01:30:36.6687556Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6687619Z { 2022-11-23T01:30:36.6687697Z #pragma omp for 2022-11-23T01:30:36.6687781Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6687891Z { 2022-11-23T01:30:36.6687958Z #pragma GCC ivdep 2022-11-23T01:30:36.6688044Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6688109Z { 2022-11-23T01:30:36.6688174Z { 2022-11-23T01:30:36.6688243Z { 2022-11-23T01:30:36.6688350Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6688446Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6688547Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6688642Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6688738Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6688809Z } 2022-11-23T01:30:36.6688874Z } 2022-11-23T01:30:36.6688935Z } 2022-11-23T01:30:36.6689001Z } 2022-11-23T01:30:36.6689064Z } 2022-11-23T01:30:36.6689110Z } 2022-11-23T01:30:36.6689191Z ''') 2022-11-23T01:30:36.6689198Z 2022-11-23T01:30:36.6689202Z 2022-11-23T01:30:36.6689290Z async_compile.wait(globals()) 2022-11-23T01:30:36.6689362Z del async_compile 2022-11-23T01:30:36.6689366Z 2022-11-23T01:30:36.6689436Z def call(args): 2022-11-23T01:30:36.6689511Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6689582Z args.clear() 2022-11-23T01:30:36.6689791Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6689943Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6690011Z del arg0_1 2022-11-23T01:30:36.6690076Z del arg1_1 2022-11-23T01:30:36.6690146Z return (buf0, ) 2022-11-23T01:30:36.6690151Z 2022-11-23T01:30:36.6690155Z 2022-11-23T01:30:36.6690229Z if __name__ == "__main__": 2022-11-23T01:30:36.6690343Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6690465Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6690655Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6690859Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6690972Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6690977Z 2022-11-23T01:30:36.6691043Z ok (1.438s) 2022-11-23T01:30:36.6691390Z test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6691707Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6691927Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6692179Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6692459Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6692779Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6693112Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6693467Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6693849Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6693941Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6694032Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6694133Z 4 BINARY_ADD 2022-11-23T01:30:36.6694221Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6694296Z 8 RETURN_VALUE 2022-11-23T01:30:36.6694344Z 2022-11-23T01:30:36.6694348Z 2022-11-23T01:30:36.6694662Z [2022-11-23 01:29:56,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6694874Z [2022-11-23 01:29:56,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6695111Z [2022-11-23 01:29:56,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6695383Z [2022-11-23 01:29:56,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6695621Z [2022-11-23 01:29:56,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6695866Z [2022-11-23 01:29:56,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6696251Z [2022-11-23 01:29:56,025] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6696496Z [2022-11-23 01:29:56,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6696730Z [2022-11-23 01:29:56,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6696971Z [2022-11-23 01:29:56,026] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6697220Z [2022-11-23 01:29:56,029] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6697407Z [2022-11-23 01:29:56,029] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6697543Z __compiled_fn_495 .3789 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6697632Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6697718Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6697894Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6697990Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6697996Z 2022-11-23T01:30:36.6698305Z [2022-11-23 01:29:56,029] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6698401Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6698489Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6698577Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6698670Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6698755Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6698842Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6698907Z 12 RETURN_VALUE 2022-11-23T01:30:36.6698924Z 2022-11-23T01:30:36.6698971Z 2022-11-23T01:30:36.6699288Z [2022-11-23 01:29:56,029] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6699395Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_495) 2022-11-23T01:30:36.6699484Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6699573Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6699674Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6699762Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6699838Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6699911Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6699997Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6700099Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6700255Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6700343Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6700417Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6700492Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6700566Z 26 RETURN_VALUE 2022-11-23T01:30:36.6700571Z 2022-11-23T01:30:36.6700630Z 2022-11-23T01:30:36.6700813Z [2022-11-23 01:29:56,030] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6700882Z - 2022-11-23T01:30:36.6701000Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6701066Z { 2022-11-23T01:30:36.6701191Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6701378Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6701498Z 'obj_weakref': None 2022-11-23T01:30:36.6701725Z 'guarded_class': 2022-11-23T01:30:36.6701791Z } 2022-11-23T01:30:36.6701855Z 2022-11-23T01:30:36.6701923Z - 2022-11-23T01:30:36.6702034Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6702099Z { 2022-11-23T01:30:36.6702241Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6702347Z 'code': None, 2022-11-23T01:30:36.6702560Z 'obj_weakref': 2022-11-23T01:30:36.6702814Z 'guarded_class': 2022-11-23T01:30:36.6702880Z } 2022-11-23T01:30:36.6702943Z 2022-11-23T01:30:36.6702999Z - 2022-11-23T01:30:36.6703120Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6703184Z { 2022-11-23T01:30:36.6703325Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6703435Z 'code': None, 2022-11-23T01:30:36.6703736Z 'obj_weakref': 2022-11-23T01:30:36.6703991Z 'guarded_class': 2022-11-23T01:30:36.6704041Z } 2022-11-23T01:30:36.6704105Z 2022-11-23T01:30:36.6704176Z - 2022-11-23T01:30:36.6704307Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6704371Z { 2022-11-23T01:30:36.6704505Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6704662Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6704783Z 'obj_weakref': None 2022-11-23T01:30:36.6705011Z 'guarded_class': 2022-11-23T01:30:36.6705075Z } 2022-11-23T01:30:36.6705139Z 2022-11-23T01:30:36.6705208Z - 2022-11-23T01:30:36.6705328Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6705381Z { 2022-11-23T01:30:36.6705516Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6705733Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6705851Z 'obj_weakref': None 2022-11-23T01:30:36.6706072Z 'guarded_class': 2022-11-23T01:30:36.6706138Z } 2022-11-23T01:30:36.6706202Z 2022-11-23T01:30:36.6706501Z [2022-11-23 01:29:56,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 487 2022-11-23T01:30:36.6706850Z [2022-11-23 01:29:57,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxuyp72t4wwpt35zrrc64ck22x4dm5omzfsxxv4tldrdpzrcyku.py 2022-11-23T01:30:36.6707114Z [2022-11-23 01:29:57,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 487 2022-11-23T01:30:36.6707119Z 2022-11-23T01:30:36.6707241Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6707310Z import torch 2022-11-23T01:30:36.6707411Z import random 2022-11-23T01:30:36.6707527Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6707648Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6707653Z 2022-11-23T01:30:36.6707733Z aten = torch.ops.aten 2022-11-23T01:30:36.6707855Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6707946Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6707951Z 2022-11-23T01:30:36.6707956Z 2022-11-23T01:30:36.6708091Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6708295Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6708416Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6708520Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6708621Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6708683Z { 2022-11-23T01:30:36.6708768Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6708830Z { 2022-11-23T01:30:36.6708910Z #pragma omp for 2022-11-23T01:30:36.6708995Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:30:36.6709057Z { 2022-11-23T01:30:36.6709121Z { 2022-11-23T01:30:36.6709172Z { 2022-11-23T01:30:36.6709263Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6709354Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.6709465Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6709556Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6709639Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6709752Z } 2022-11-23T01:30:36.6709803Z } 2022-11-23T01:30:36.6709867Z } 2022-11-23T01:30:36.6709928Z } 2022-11-23T01:30:36.6709987Z } 2022-11-23T01:30:36.6710065Z ''') 2022-11-23T01:30:36.6710071Z 2022-11-23T01:30:36.6710075Z 2022-11-23T01:30:36.6710164Z async_compile.wait(globals()) 2022-11-23T01:30:36.6710236Z del async_compile 2022-11-23T01:30:36.6710241Z 2022-11-23T01:30:36.6710298Z def call(args): 2022-11-23T01:30:36.6710373Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6710443Z args.clear() 2022-11-23T01:30:36.6710646Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6710809Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6710880Z del arg0_1 2022-11-23T01:30:36.6710947Z del arg1_1 2022-11-23T01:30:36.6711006Z return (buf0, ) 2022-11-23T01:30:36.6711023Z 2022-11-23T01:30:36.6711027Z 2022-11-23T01:30:36.6711091Z if __name__ == "__main__": 2022-11-23T01:30:36.6711204Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6711326Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6711527Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6711719Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6711834Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6711839Z 2022-11-23T01:30:36.6711905Z ok (1.429s) 2022-11-23T01:30:36.6712244Z test_cpu_double_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6712580Z [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6712799Z [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6713050Z [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6713329Z [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6713682Z [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6714030Z [2022-11-23 01:29:57,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6714358Z [2022-11-23 01:29:57,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6714743Z [2022-11-23 01:29:57,453] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6714834Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6714926Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6714991Z 4 BINARY_ADD 2022-11-23T01:30:36.6715078Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6715156Z 8 RETURN_VALUE 2022-11-23T01:30:36.6715219Z 2022-11-23T01:30:36.6715223Z 2022-11-23T01:30:36.6715538Z [2022-11-23 01:29:57,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6715746Z [2022-11-23 01:29:57,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6715985Z [2022-11-23 01:29:57,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6716256Z [2022-11-23 01:29:57,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6716485Z [2022-11-23 01:29:57,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6716730Z [2022-11-23 01:29:57,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6717118Z [2022-11-23 01:29:57,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6717360Z [2022-11-23 01:29:57,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6717592Z [2022-11-23 01:29:57,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6717845Z [2022-11-23 01:29:57,456] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6718093Z [2022-11-23 01:29:57,458] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6718279Z [2022-11-23 01:29:57,458] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6718412Z __compiled_fn_496 .3795 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6718490Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6718576Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6718753Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6718848Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6718853Z 2022-11-23T01:30:36.6719175Z [2022-11-23 01:29:57,459] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6719294Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6719384Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6719470Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6719549Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6719633Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6719722Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6719800Z 12 RETURN_VALUE 2022-11-23T01:30:36.6719837Z 2022-11-23T01:30:36.6719897Z 2022-11-23T01:30:36.6720312Z [2022-11-23 01:29:57,459] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6720420Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_496) 2022-11-23T01:30:36.6720510Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6720587Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6720662Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6720752Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6720840Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6720914Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6721003Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6721107Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6721194Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6721285Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6721360Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6721446Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6721521Z 26 RETURN_VALUE 2022-11-23T01:30:36.6721526Z 2022-11-23T01:30:36.6721588Z 2022-11-23T01:30:36.6721771Z [2022-11-23 01:29:57,459] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6721828Z - 2022-11-23T01:30:36.6721946Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6722011Z { 2022-11-23T01:30:36.6722152Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6722337Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6722458Z 'obj_weakref': None 2022-11-23T01:30:36.6722682Z 'guarded_class': 2022-11-23T01:30:36.6722736Z } 2022-11-23T01:30:36.6722803Z 2022-11-23T01:30:36.6722871Z - 2022-11-23T01:30:36.6723014Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6723101Z { 2022-11-23T01:30:36.6723285Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6723391Z 'code': None, 2022-11-23T01:30:36.6723591Z 'obj_weakref': 2022-11-23T01:30:36.6723843Z 'guarded_class': 2022-11-23T01:30:36.6723908Z } 2022-11-23T01:30:36.6723970Z 2022-11-23T01:30:36.6724038Z - 2022-11-23T01:30:36.6724158Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6724221Z { 2022-11-23T01:30:36.6724349Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6724453Z 'code': None, 2022-11-23T01:30:36.6724660Z 'obj_weakref': 2022-11-23T01:30:36.6725067Z 'guarded_class': 2022-11-23T01:30:36.6725130Z } 2022-11-23T01:30:36.6725193Z 2022-11-23T01:30:36.6725263Z - 2022-11-23T01:30:36.6725381Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6725445Z { 2022-11-23T01:30:36.6725578Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6725746Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6725931Z 'obj_weakref': None 2022-11-23T01:30:36.6726166Z 'guarded_class': 2022-11-23T01:30:36.6726229Z } 2022-11-23T01:30:36.6726279Z 2022-11-23T01:30:36.6726347Z - 2022-11-23T01:30:36.6726471Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6726533Z { 2022-11-23T01:30:36.6726669Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6726926Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6727043Z 'obj_weakref': None 2022-11-23T01:30:36.6727253Z 'guarded_class': 2022-11-23T01:30:36.6727318Z } 2022-11-23T01:30:36.6727381Z 2022-11-23T01:30:36.6727646Z [2022-11-23 01:29:57,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 488 2022-11-23T01:30:36.6728012Z [2022-11-23 01:29:58,980] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnt4i5zdleokiiwt62b7rfbpiutsl5zxitri4aunmbwe7dsxkgf.py 2022-11-23T01:30:36.6728278Z [2022-11-23 01:29:58,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 488 2022-11-23T01:30:36.6728284Z 2022-11-23T01:30:36.6728376Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6728446Z import torch 2022-11-23T01:30:36.6728503Z import random 2022-11-23T01:30:36.6728620Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6728739Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6728744Z 2022-11-23T01:30:36.6728821Z aten = torch.ops.aten 2022-11-23T01:30:36.6728955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6729047Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6729052Z 2022-11-23T01:30:36.6729056Z 2022-11-23T01:30:36.6729190Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6729395Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6729504Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6729608Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6729705Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6729764Z { 2022-11-23T01:30:36.6729864Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6729925Z { 2022-11-23T01:30:36.6730001Z #pragma omp for 2022-11-23T01:30:36.6730071Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:30:36.6730134Z { 2022-11-23T01:30:36.6730196Z { 2022-11-23T01:30:36.6730259Z { 2022-11-23T01:30:36.6730351Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6730440Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6730548Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6730626Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6730710Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6730774Z } 2022-11-23T01:30:36.6730838Z } 2022-11-23T01:30:36.6730899Z } 2022-11-23T01:30:36.6730959Z } 2022-11-23T01:30:36.6731018Z } 2022-11-23T01:30:36.6731084Z ''') 2022-11-23T01:30:36.6731089Z 2022-11-23T01:30:36.6731092Z 2022-11-23T01:30:36.6731184Z async_compile.wait(globals()) 2022-11-23T01:30:36.6731254Z del async_compile 2022-11-23T01:30:36.6731258Z 2022-11-23T01:30:36.6731330Z def call(args): 2022-11-23T01:30:36.6731404Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6731474Z args.clear() 2022-11-23T01:30:36.6731672Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6731822Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6731890Z del arg0_1 2022-11-23T01:30:36.6731985Z del arg1_1 2022-11-23T01:30:36.6732057Z return (buf0, ) 2022-11-23T01:30:36.6732062Z 2022-11-23T01:30:36.6732066Z 2022-11-23T01:30:36.6732140Z if __name__ == "__main__": 2022-11-23T01:30:36.6732254Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6732378Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6732577Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6732805Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6732920Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6732925Z 2022-11-23T01:30:36.6732991Z ok (1.533s) 2022-11-23T01:30:36.6733325Z test_cpu_double_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:58,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6733643Z [2022-11-23 01:29:58,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6733859Z [2022-11-23 01:29:58,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6734112Z [2022-11-23 01:29:58,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6734386Z [2022-11-23 01:29:58,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6734704Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6735038Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6735361Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6735741Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6735832Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6735923Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6735995Z 4 BINARY_ADD 2022-11-23T01:30:36.6736086Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6736160Z 8 RETURN_VALUE 2022-11-23T01:30:36.6736219Z 2022-11-23T01:30:36.6736224Z 2022-11-23T01:30:36.6736521Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6736730Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6736968Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6737241Z [2022-11-23 01:29:58,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6737481Z [2022-11-23 01:29:58,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6737730Z [2022-11-23 01:29:58,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6738208Z [2022-11-23 01:29:58,987] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6738454Z [2022-11-23 01:29:58,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6738685Z [2022-11-23 01:29:58,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6738961Z [2022-11-23 01:29:58,988] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6739210Z [2022-11-23 01:29:58,991] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6739398Z [2022-11-23 01:29:58,991] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6739532Z __compiled_fn_497 .3801 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6739649Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6739734Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6739911Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6740006Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6740011Z 2022-11-23T01:30:36.6740339Z [2022-11-23 01:29:58,992] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6740419Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6740511Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6740598Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6740691Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6740774Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6740862Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6740938Z 12 RETURN_VALUE 2022-11-23T01:30:36.6740946Z 2022-11-23T01:30:36.6740994Z 2022-11-23T01:30:36.6741317Z [2022-11-23 01:29:58,992] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6741438Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_497) 2022-11-23T01:30:36.6741528Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6741617Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6741692Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6741781Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6741870Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6741933Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6742020Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6742122Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6742222Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6742308Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6742386Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6742471Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6742533Z 26 RETURN_VALUE 2022-11-23T01:30:36.6742538Z 2022-11-23T01:30:36.6742598Z 2022-11-23T01:30:36.6742780Z [2022-11-23 01:29:58,992] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6742849Z - 2022-11-23T01:30:36.6742967Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6743031Z { 2022-11-23T01:30:36.6743172Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6743346Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6743465Z 'obj_weakref': None 2022-11-23T01:30:36.6743691Z 'guarded_class': 2022-11-23T01:30:36.6743759Z } 2022-11-23T01:30:36.6743822Z 2022-11-23T01:30:36.6743893Z - 2022-11-23T01:30:36.6744017Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6744068Z { 2022-11-23T01:30:36.6744210Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6744320Z 'code': None, 2022-11-23T01:30:36.6744532Z 'obj_weakref': 2022-11-23T01:30:36.6744784Z 'guarded_class': 2022-11-23T01:30:36.6744847Z } 2022-11-23T01:30:36.6744940Z 2022-11-23T01:30:36.6744997Z - 2022-11-23T01:30:36.6745118Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6745183Z { 2022-11-23T01:30:36.6745324Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6745431Z 'code': None, 2022-11-23T01:30:36.6745641Z 'obj_weakref': 2022-11-23T01:30:36.6745919Z 'guarded_class': 2022-11-23T01:30:36.6745969Z } 2022-11-23T01:30:36.6746032Z 2022-11-23T01:30:36.6746103Z - 2022-11-23T01:30:36.6746235Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6746297Z { 2022-11-23T01:30:36.6746431Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6746602Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6746710Z 'obj_weakref': None 2022-11-23T01:30:36.6746942Z 'guarded_class': 2022-11-23T01:30:36.6747005Z } 2022-11-23T01:30:36.6747070Z 2022-11-23T01:30:36.6747138Z - 2022-11-23T01:30:36.6747259Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6747322Z { 2022-11-23T01:30:36.6747444Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6747663Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6747780Z 'obj_weakref': None 2022-11-23T01:30:36.6748003Z 'guarded_class': 2022-11-23T01:30:36.6748066Z } 2022-11-23T01:30:36.6748129Z 2022-11-23T01:30:36.6748389Z [2022-11-23 01:29:58,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 489 2022-11-23T01:30:36.6748738Z [2022-11-23 01:30:00,436] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/26/c26rbjlkdx54ub7g72whpo67ddetcco2kcjl3vb77qiavgqacgqr.py 2022-11-23T01:30:36.6749003Z [2022-11-23 01:30:00,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 489 2022-11-23T01:30:36.6749008Z 2022-11-23T01:30:36.6749102Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6749171Z import torch 2022-11-23T01:30:36.6749243Z import random 2022-11-23T01:30:36.6749358Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6749479Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6749484Z 2022-11-23T01:30:36.6749561Z aten = torch.ops.aten 2022-11-23T01:30:36.6749681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6749774Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6749779Z 2022-11-23T01:30:36.6749784Z 2022-11-23T01:30:36.6749917Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6750125Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6750245Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6750349Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.6750448Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6750511Z { 2022-11-23T01:30:36.6750595Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6750659Z { 2022-11-23T01:30:36.6750736Z #pragma omp for 2022-11-23T01:30:36.6750820Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:30:36.6750883Z { 2022-11-23T01:30:36.6750946Z { 2022-11-23T01:30:36.6751010Z { 2022-11-23T01:30:36.6751090Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6751180Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6751269Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6751387Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6751454Z } 2022-11-23T01:30:36.6751518Z } 2022-11-23T01:30:36.6751581Z } 2022-11-23T01:30:36.6751629Z } 2022-11-23T01:30:36.6751689Z } 2022-11-23T01:30:36.6751766Z ''') 2022-11-23T01:30:36.6751771Z 2022-11-23T01:30:36.6751775Z 2022-11-23T01:30:36.6751867Z async_compile.wait(globals()) 2022-11-23T01:30:36.6751938Z del async_compile 2022-11-23T01:30:36.6751943Z 2022-11-23T01:30:36.6752048Z def call(args): 2022-11-23T01:30:36.6752123Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6752181Z args.clear() 2022-11-23T01:30:36.6752382Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6752546Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6752614Z del arg0_1 2022-11-23T01:30:36.6752680Z del arg1_1 2022-11-23T01:30:36.6752750Z return (buf0, ) 2022-11-23T01:30:36.6752754Z 2022-11-23T01:30:36.6752758Z 2022-11-23T01:30:36.6752835Z if __name__ == "__main__": 2022-11-23T01:30:36.6752935Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6753057Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6753255Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6753452Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6753567Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6753572Z 2022-11-23T01:30:36.6753641Z ok (1.456s) 2022-11-23T01:30:36.6753976Z test_cpu_double_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6754295Z [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6754514Z [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6754754Z [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6755030Z [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6755351Z [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6755703Z [2022-11-23 01:30:00,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6756024Z [2022-11-23 01:30:00,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6756407Z [2022-11-23 01:30:00,442] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6756497Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6756587Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6756659Z 4 BINARY_ADD 2022-11-23T01:30:36.6756735Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6756810Z 8 RETURN_VALUE 2022-11-23T01:30:36.6756872Z 2022-11-23T01:30:36.6756877Z 2022-11-23T01:30:36.6757187Z [2022-11-23 01:30:00,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6757394Z [2022-11-23 01:30:00,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6757627Z [2022-11-23 01:30:00,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6757929Z [2022-11-23 01:30:00,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6758172Z [2022-11-23 01:30:00,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6758415Z [2022-11-23 01:30:00,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6758787Z [2022-11-23 01:30:00,443] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6759054Z [2022-11-23 01:30:00,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6759286Z [2022-11-23 01:30:00,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6759540Z [2022-11-23 01:30:00,445] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6759791Z [2022-11-23 01:30:00,447] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6759974Z [2022-11-23 01:30:00,447] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6760188Z __compiled_fn_498 .3807 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6760278Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6760363Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6760535Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6760629Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6760634Z 2022-11-23T01:30:36.6760959Z [2022-11-23 01:30:00,448] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6761054Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6761144Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6761233Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6761325Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6761409Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6761485Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6761560Z 12 RETURN_VALUE 2022-11-23T01:30:36.6761565Z 2022-11-23T01:30:36.6761627Z 2022-11-23T01:30:36.6761949Z [2022-11-23 01:30:00,448] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6762059Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_498) 2022-11-23T01:30:36.6762148Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6762237Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6762300Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6762392Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6762480Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6762558Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6762644Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6762745Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6762847Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6762922Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6762997Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6763081Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6763159Z 26 RETURN_VALUE 2022-11-23T01:30:36.6763164Z 2022-11-23T01:30:36.6763224Z 2022-11-23T01:30:36.6763404Z [2022-11-23 01:30:00,448] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6763473Z - 2022-11-23T01:30:36.6763578Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6763642Z { 2022-11-23T01:30:36.6763782Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6764000Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6764123Z 'obj_weakref': None 2022-11-23T01:30:36.6764348Z 'guarded_class': 2022-11-23T01:30:36.6764413Z } 2022-11-23T01:30:36.6764496Z 2022-11-23T01:30:36.6764552Z - 2022-11-23T01:30:36.6764674Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6764837Z { 2022-11-23T01:30:36.6765041Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6765146Z 'code': None, 2022-11-23T01:30:36.6765362Z 'obj_weakref': 2022-11-23T01:30:36.6765613Z 'guarded_class': 2022-11-23T01:30:36.6765665Z } 2022-11-23T01:30:36.6765726Z 2022-11-23T01:30:36.6765796Z - 2022-11-23T01:30:36.6765915Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6765981Z { 2022-11-23T01:30:36.6766124Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6766246Z 'code': None, 2022-11-23T01:30:36.6766517Z 'obj_weakref': 2022-11-23T01:30:36.6766771Z 'guarded_class': 2022-11-23T01:30:36.6766837Z } 2022-11-23T01:30:36.6766899Z 2022-11-23T01:30:36.6766968Z - 2022-11-23T01:30:36.6767095Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6767146Z { 2022-11-23T01:30:36.6767278Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6767445Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6767563Z 'obj_weakref': None 2022-11-23T01:30:36.6767797Z 'guarded_class': 2022-11-23T01:30:36.6767860Z } 2022-11-23T01:30:36.6767922Z 2022-11-23T01:30:36.6767977Z - 2022-11-23T01:30:36.6768096Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6768159Z { 2022-11-23T01:30:36.6768293Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6768508Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6768628Z 'obj_weakref': None 2022-11-23T01:30:36.6768847Z 'guarded_class': 2022-11-23T01:30:36.6768910Z } 2022-11-23T01:30:36.6768960Z 2022-11-23T01:30:36.6769218Z [2022-11-23 01:30:00,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 490 2022-11-23T01:30:36.6769579Z [2022-11-23 01:30:01,903] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6e/c6edlf4m3vz5idj3rw3fpy5s3cy446mbejasz6fu3juscznjyxa7.py 2022-11-23T01:30:36.6769847Z [2022-11-23 01:30:01,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 490 2022-11-23T01:30:36.6769853Z 2022-11-23T01:30:36.6769945Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6770014Z import torch 2022-11-23T01:30:36.6770083Z import random 2022-11-23T01:30:36.6770197Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6770308Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6770313Z 2022-11-23T01:30:36.6770391Z aten = torch.ops.aten 2022-11-23T01:30:36.6770525Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6770615Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6770620Z 2022-11-23T01:30:36.6770624Z 2022-11-23T01:30:36.6770756Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6770959Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6771122Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6771226Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.6771315Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6771374Z { 2022-11-23T01:30:36.6771473Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6771533Z { 2022-11-23T01:30:36.6771608Z #pragma omp for 2022-11-23T01:30:36.6771689Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6771782Z { 2022-11-23T01:30:36.6771850Z #pragma GCC ivdep 2022-11-23T01:30:36.6771936Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6771999Z { 2022-11-23T01:30:36.6772063Z { 2022-11-23T01:30:36.6772147Z { 2022-11-23T01:30:36.6772249Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6772331Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.6772445Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6772538Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6772667Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6772733Z } 2022-11-23T01:30:36.6772797Z } 2022-11-23T01:30:36.6772859Z } 2022-11-23T01:30:36.6772908Z } 2022-11-23T01:30:36.6772971Z } 2022-11-23T01:30:36.6773030Z } 2022-11-23T01:30:36.6773112Z ''') 2022-11-23T01:30:36.6773116Z 2022-11-23T01:30:36.6773120Z 2022-11-23T01:30:36.6773210Z async_compile.wait(globals()) 2022-11-23T01:30:36.6773280Z del async_compile 2022-11-23T01:30:36.6773285Z 2022-11-23T01:30:36.6773355Z def call(args): 2022-11-23T01:30:36.6773431Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6773489Z args.clear() 2022-11-23T01:30:36.6773688Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6773853Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6773920Z del arg0_1 2022-11-23T01:30:36.6773984Z del arg1_1 2022-11-23T01:30:36.6774056Z return (buf0, ) 2022-11-23T01:30:36.6774061Z 2022-11-23T01:30:36.6774065Z 2022-11-23T01:30:36.6774141Z if __name__ == "__main__": 2022-11-23T01:30:36.6774242Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6774362Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6774563Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6774752Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6774865Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6774870Z 2022-11-23T01:30:36.6774935Z ok (1.468s) 2022-11-23T01:30:36.6775272Z test_cpu_double_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6775589Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6775807Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6776048Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6776325Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6776647Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6776993Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6777348Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6777732Z [2022-11-23 01:30:01,910] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6777823Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6777914Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6778030Z 4 BINARY_ADD 2022-11-23T01:30:36.6778106Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6778183Z 8 RETURN_VALUE 2022-11-23T01:30:36.6778243Z 2022-11-23T01:30:36.6778247Z 2022-11-23T01:30:36.6778559Z [2022-11-23 01:30:01,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6778766Z [2022-11-23 01:30:01,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6779005Z [2022-11-23 01:30:01,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6779276Z [2022-11-23 01:30:01,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6779514Z [2022-11-23 01:30:01,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6779747Z [2022-11-23 01:30:01,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6780131Z [2022-11-23 01:30:01,912] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6780375Z [2022-11-23 01:30:01,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6780608Z [2022-11-23 01:30:01,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6780860Z [2022-11-23 01:30:01,913] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6781105Z [2022-11-23 01:30:01,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6781289Z [2022-11-23 01:30:01,916] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6781425Z __compiled_fn_499 .3813 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6781516Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6781589Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6781765Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6781859Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6781864Z 2022-11-23T01:30:36.6782187Z [2022-11-23 01:30:01,916] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6782282Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6782371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6782457Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6782549Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6782621Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6782709Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6782786Z 12 RETURN_VALUE 2022-11-23T01:30:36.6782791Z 2022-11-23T01:30:36.6782852Z 2022-11-23T01:30:36.6783172Z [2022-11-23 01:30:01,917] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6783279Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_499) 2022-11-23T01:30:36.6783368Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6783457Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6783549Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6783641Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6783727Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6783804Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6783892Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6783994Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6784111Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6784267Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6784356Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6784445Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6784519Z 26 RETURN_VALUE 2022-11-23T01:30:36.6784524Z 2022-11-23T01:30:36.6784588Z 2022-11-23T01:30:36.6784872Z [2022-11-23 01:30:01,917] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6784956Z - 2022-11-23T01:30:36.6785064Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6785131Z { 2022-11-23T01:30:36.6785269Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6785456Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6785575Z 'obj_weakref': None 2022-11-23T01:30:36.6785805Z 'guarded_class': 2022-11-23T01:30:36.6785873Z } 2022-11-23T01:30:36.6785924Z 2022-11-23T01:30:36.6785993Z - 2022-11-23T01:30:36.6786116Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6786179Z { 2022-11-23T01:30:36.6786321Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6786427Z 'code': None, 2022-11-23T01:30:36.6786634Z 'obj_weakref': 2022-11-23T01:30:36.6786872Z 'guarded_class': 2022-11-23T01:30:36.6786938Z } 2022-11-23T01:30:36.6787001Z 2022-11-23T01:30:36.6787073Z - 2022-11-23T01:30:36.6787195Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6787257Z { 2022-11-23T01:30:36.6787396Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6787489Z 'code': None, 2022-11-23T01:30:36.6787694Z 'obj_weakref': 2022-11-23T01:30:36.6787947Z 'guarded_class': 2022-11-23T01:30:36.6788010Z } 2022-11-23T01:30:36.6788074Z 2022-11-23T01:30:36.6788142Z - 2022-11-23T01:30:36.6788272Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6788322Z { 2022-11-23T01:30:36.6788457Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6788630Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6788749Z 'obj_weakref': None 2022-11-23T01:30:36.6788983Z 'guarded_class': 2022-11-23T01:30:36.6789046Z } 2022-11-23T01:30:36.6789108Z 2022-11-23T01:30:36.6789163Z - 2022-11-23T01:30:36.6789284Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6789347Z { 2022-11-23T01:30:36.6789483Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6789697Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6789814Z 'obj_weakref': None 2022-11-23T01:30:36.6790036Z 'guarded_class': 2022-11-23T01:30:36.6790088Z } 2022-11-23T01:30:36.6790153Z 2022-11-23T01:30:36.6790448Z [2022-11-23 01:30:01,922] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 491 2022-11-23T01:30:36.6790820Z [2022-11-23 01:30:03,333] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj57urj7xnbr5edrxbttcvplfwbqt56zxvqmjzqif7gbdpqlrzej.py 2022-11-23T01:30:36.6791084Z [2022-11-23 01:30:03,333] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 491 2022-11-23T01:30:36.6791089Z 2022-11-23T01:30:36.6791183Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6791283Z import torch 2022-11-23T01:30:36.6791353Z import random 2022-11-23T01:30:36.6791457Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6791580Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6791585Z 2022-11-23T01:30:36.6791662Z aten = torch.ops.aten 2022-11-23T01:30:36.6791797Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6791891Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6791896Z 2022-11-23T01:30:36.6791900Z 2022-11-23T01:30:36.6792037Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6792242Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6792362Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6792468Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6792555Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6792618Z { 2022-11-23T01:30:36.6792715Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6792777Z { 2022-11-23T01:30:36.6792852Z #pragma omp for 2022-11-23T01:30:36.6792935Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6792985Z { 2022-11-23T01:30:36.6793065Z #pragma GCC ivdep 2022-11-23T01:30:36.6793149Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6793213Z { 2022-11-23T01:30:36.6793279Z { 2022-11-23T01:30:36.6793345Z { 2022-11-23T01:30:36.6793450Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6793543Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.6793655Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6793746Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6793843Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6793912Z } 2022-11-23T01:30:36.6793975Z } 2022-11-23T01:30:36.6794038Z } 2022-11-23T01:30:36.6794088Z } 2022-11-23T01:30:36.6794150Z } 2022-11-23T01:30:36.6794210Z } 2022-11-23T01:30:36.6794289Z ''') 2022-11-23T01:30:36.6794294Z 2022-11-23T01:30:36.6794298Z 2022-11-23T01:30:36.6794386Z async_compile.wait(globals()) 2022-11-23T01:30:36.6794458Z del async_compile 2022-11-23T01:30:36.6794463Z 2022-11-23T01:30:36.6794533Z def call(args): 2022-11-23T01:30:36.6794595Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6794669Z args.clear() 2022-11-23T01:30:36.6794867Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6795029Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6795097Z del arg0_1 2022-11-23T01:30:36.6795164Z del arg1_1 2022-11-23T01:30:36.6795237Z return (buf0, ) 2022-11-23T01:30:36.6795242Z 2022-11-23T01:30:36.6795249Z 2022-11-23T01:30:36.6795324Z if __name__ == "__main__": 2022-11-23T01:30:36.6795424Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6795547Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6795747Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6795943Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6796058Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6796062Z 2022-11-23T01:30:36.6796161Z ok (1.429s) 2022-11-23T01:30:36.6796514Z test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6796833Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6797037Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6797323Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6797598Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6797919Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6798269Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6798591Z [2022-11-23 01:30:03,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6798972Z [2022-11-23 01:30:03,340] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6799064Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6799153Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6799225Z 4 BINARY_ADD 2022-11-23T01:30:36.6799301Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6799376Z 8 RETURN_VALUE 2022-11-23T01:30:36.6799436Z 2022-11-23T01:30:36.6799441Z 2022-11-23T01:30:36.6799755Z [2022-11-23 01:30:03,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6799963Z [2022-11-23 01:30:03,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6800278Z [2022-11-23 01:30:03,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6800549Z [2022-11-23 01:30:03,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6800792Z [2022-11-23 01:30:03,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6801024Z [2022-11-23 01:30:03,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6801418Z [2022-11-23 01:30:03,341] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6801663Z [2022-11-23 01:30:03,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6801895Z [2022-11-23 01:30:03,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6802147Z [2022-11-23 01:30:03,342] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6802397Z [2022-11-23 01:30:03,345] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6802584Z [2022-11-23 01:30:03,345] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6802719Z __compiled_fn_500 .3819 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6802809Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6802882Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6803059Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6803211Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6803218Z 2022-11-23T01:30:36.6803540Z [2022-11-23 01:30:03,346] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6803634Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6803722Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6803808Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6803930Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6804002Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6804090Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6804166Z 12 RETURN_VALUE 2022-11-23T01:30:36.6804171Z 2022-11-23T01:30:36.6804234Z 2022-11-23T01:30:36.6804554Z [2022-11-23 01:30:03,346] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6804665Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_500) 2022-11-23T01:30:36.6804877Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6804968Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6805032Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6805120Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6805207Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6805285Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6805372Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6805475Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6805577Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6805653Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6805729Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6805815Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6805891Z 26 RETURN_VALUE 2022-11-23T01:30:36.6805899Z 2022-11-23T01:30:36.6805961Z 2022-11-23T01:30:36.6806144Z [2022-11-23 01:30:03,346] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6806213Z - 2022-11-23T01:30:36.6806319Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6806384Z { 2022-11-23T01:30:36.6806523Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6806712Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6806836Z 'obj_weakref': None 2022-11-23T01:30:36.6807062Z 'guarded_class': 2022-11-23T01:30:36.6807128Z } 2022-11-23T01:30:36.6807179Z 2022-11-23T01:30:36.6807249Z - 2022-11-23T01:30:36.6807372Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6807435Z { 2022-11-23T01:30:36.6807577Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6807684Z 'code': None, 2022-11-23T01:30:36.6807896Z 'obj_weakref': 2022-11-23T01:30:36.6808134Z 'guarded_class': 2022-11-23T01:30:36.6808198Z } 2022-11-23T01:30:36.6808260Z 2022-11-23T01:30:36.6808330Z - 2022-11-23T01:30:36.6808452Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6808518Z { 2022-11-23T01:30:36.6808659Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6808752Z 'code': None, 2022-11-23T01:30:36.6808961Z 'obj_weakref': 2022-11-23T01:30:36.6809208Z 'guarded_class': 2022-11-23T01:30:36.6809270Z } 2022-11-23T01:30:36.6809333Z 2022-11-23T01:30:36.6809402Z - 2022-11-23T01:30:36.6809592Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6809646Z { 2022-11-23T01:30:36.6809781Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6809950Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6810068Z 'obj_weakref': None 2022-11-23T01:30:36.6810297Z 'guarded_class': 2022-11-23T01:30:36.6810399Z } 2022-11-23T01:30:36.6810462Z 2022-11-23T01:30:36.6810519Z - 2022-11-23T01:30:36.6810639Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6810701Z { 2022-11-23T01:30:36.6810836Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6811051Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6811169Z 'obj_weakref': None 2022-11-23T01:30:36.6811392Z 'guarded_class': 2022-11-23T01:30:36.6811443Z } 2022-11-23T01:30:36.6811506Z 2022-11-23T01:30:36.6811765Z [2022-11-23 01:30:03,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 492 2022-11-23T01:30:36.6812132Z [2022-11-23 01:30:04,763] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czw4an2o3cwhsmmoq67bvszov7srjljtfbfcnk25rxvq2nx7rk7i.py 2022-11-23T01:30:36.6812400Z [2022-11-23 01:30:04,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 492 2022-11-23T01:30:36.6812405Z 2022-11-23T01:30:36.6812498Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6812567Z import torch 2022-11-23T01:30:36.6812636Z import random 2022-11-23T01:30:36.6812738Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6812860Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6812865Z 2022-11-23T01:30:36.6812946Z aten = torch.ops.aten 2022-11-23T01:30:36.6813078Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6813169Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6813175Z 2022-11-23T01:30:36.6813179Z 2022-11-23T01:30:36.6813311Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6813515Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6813636Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:30:36.6813728Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6813829Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6813889Z { 2022-11-23T01:30:36.6813988Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6814049Z { 2022-11-23T01:30:36.6814125Z #pragma omp for 2022-11-23T01:30:36.6814209Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6814258Z { 2022-11-23T01:30:36.6814341Z #pragma GCC ivdep 2022-11-23T01:30:36.6814427Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6814492Z { 2022-11-23T01:30:36.6814556Z { 2022-11-23T01:30:36.6814621Z { 2022-11-23T01:30:36.6814724Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.6814811Z auto tmp1 = in_ptr1[i0 + (10*i1)]; 2022-11-23T01:30:36.6814920Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.6815017Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.6815112Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6815178Z } 2022-11-23T01:30:36.6815242Z } 2022-11-23T01:30:36.6815304Z } 2022-11-23T01:30:36.6815353Z } 2022-11-23T01:30:36.6815414Z } 2022-11-23T01:30:36.6815474Z } 2022-11-23T01:30:36.6815552Z ''') 2022-11-23T01:30:36.6815558Z 2022-11-23T01:30:36.6815561Z 2022-11-23T01:30:36.6815682Z async_compile.wait(globals()) 2022-11-23T01:30:36.6815754Z del async_compile 2022-11-23T01:30:36.6815759Z 2022-11-23T01:30:36.6815829Z def call(args): 2022-11-23T01:30:36.6815890Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6815960Z args.clear() 2022-11-23T01:30:36.6816158Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6816320Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6816415Z del arg0_1 2022-11-23T01:30:36.6816480Z del arg1_1 2022-11-23T01:30:36.6816550Z return (buf0, ) 2022-11-23T01:30:36.6816555Z 2022-11-23T01:30:36.6816559Z 2022-11-23T01:30:36.6816634Z if __name__ == "__main__": 2022-11-23T01:30:36.6816734Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6816858Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6817058Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6817255Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6817370Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6817374Z 2022-11-23T01:30:36.6817440Z ok (1.430s) 2022-11-23T01:30:36.6817775Z test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6818091Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6818294Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6818547Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6818827Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6819147Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6819491Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6819814Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6820197Z [2022-11-23 01:30:04,769] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6820289Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6820380Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6820453Z 4 BINARY_ADD 2022-11-23T01:30:36.6820533Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6820608Z 8 RETURN_VALUE 2022-11-23T01:30:36.6820670Z 2022-11-23T01:30:36.6820675Z 2022-11-23T01:30:36.6820988Z [2022-11-23 01:30:04,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6821197Z [2022-11-23 01:30:04,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6821437Z [2022-11-23 01:30:04,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6821709Z [2022-11-23 01:30:04,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6821948Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6822207Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6822596Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6822844Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6823078Z [2022-11-23 01:30:04,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6823379Z [2022-11-23 01:30:04,772] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6823626Z [2022-11-23 01:30:04,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6823813Z [2022-11-23 01:30:04,775] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6823945Z __compiled_fn_501 .3825 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6824036Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6824111Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6824289Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6824386Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6824391Z 2022-11-23T01:30:36.6824713Z [2022-11-23 01:30:04,775] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6824809Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6824899Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6824987Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6825079Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6825153Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6825241Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6825318Z 12 RETURN_VALUE 2022-11-23T01:30:36.6825323Z 2022-11-23T01:30:36.6825387Z 2022-11-23T01:30:36.6825707Z [2022-11-23 01:30:04,775] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6825814Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_501) 2022-11-23T01:30:36.6825906Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6825983Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6826062Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6826150Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6826240Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6826316Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6826404Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6826508Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6826610Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6826688Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6826763Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6826853Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6826930Z 26 RETURN_VALUE 2022-11-23T01:30:36.6826935Z 2022-11-23T01:30:36.6826995Z 2022-11-23T01:30:36.6827178Z [2022-11-23 01:30:04,776] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6827246Z - 2022-11-23T01:30:36.6827354Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6827417Z { 2022-11-23T01:30:36.6827558Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6827745Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6827864Z 'obj_weakref': None 2022-11-23T01:30:36.6828085Z 'guarded_class': 2022-11-23T01:30:36.6828151Z } 2022-11-23T01:30:36.6828202Z 2022-11-23T01:30:36.6828271Z - 2022-11-23T01:30:36.6828429Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6828493Z { 2022-11-23T01:30:36.6828636Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6828743Z 'code': None, 2022-11-23T01:30:36.6828952Z 'obj_weakref': 2022-11-23T01:30:36.6829191Z 'guarded_class': 2022-11-23T01:30:36.6829282Z } 2022-11-23T01:30:36.6829345Z 2022-11-23T01:30:36.6829416Z - 2022-11-23T01:30:36.6829539Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6829602Z { 2022-11-23T01:30:36.6829745Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6829837Z 'code': None, 2022-11-23T01:30:36.6830048Z 'obj_weakref': 2022-11-23T01:30:36.6830301Z 'guarded_class': 2022-11-23T01:30:36.6830365Z } 2022-11-23T01:30:36.6830429Z 2022-11-23T01:30:36.6830498Z - 2022-11-23T01:30:36.6830628Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6830679Z { 2022-11-23T01:30:36.6830812Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6830982Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6831101Z 'obj_weakref': None 2022-11-23T01:30:36.6831330Z 'guarded_class': 2022-11-23T01:30:36.6831394Z } 2022-11-23T01:30:36.6831457Z 2022-11-23T01:30:36.6831513Z - 2022-11-23T01:30:36.6831633Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6831697Z { 2022-11-23T01:30:36.6831892Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6832108Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6832226Z 'obj_weakref': None 2022-11-23T01:30:36.6832448Z 'guarded_class': 2022-11-23T01:30:36.6832498Z } 2022-11-23T01:30:36.6832561Z 2022-11-23T01:30:36.6832819Z [2022-11-23 01:30:04,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 493 2022-11-23T01:30:36.6833193Z [2022-11-23 01:30:06,200] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbnqunwlrr7btsuwzylssorlm4tqsejymvsvax4lsmfdmtuef6f.py 2022-11-23T01:30:36.6833454Z [2022-11-23 01:30:06,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 493 2022-11-23T01:30:36.6833460Z 2022-11-23T01:30:36.6833552Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6833620Z import torch 2022-11-23T01:30:36.6833690Z import random 2022-11-23T01:30:36.6833793Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6833912Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6833917Z 2022-11-23T01:30:36.6833994Z aten = torch.ops.aten 2022-11-23T01:30:36.6834127Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6834218Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6834225Z 2022-11-23T01:30:36.6834229Z 2022-11-23T01:30:36.6834360Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6834562Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6834678Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6834770Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6834868Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6834932Z { 2022-11-23T01:30:36.6835030Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6835120Z { 2022-11-23T01:30:36.6835199Z #pragma omp for 2022-11-23T01:30:36.6835282Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6835333Z { 2022-11-23T01:30:36.6835394Z { 2022-11-23T01:30:36.6835462Z { 2022-11-23T01:30:36.6835554Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6835644Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:36.6835778Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6835867Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6835940Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6836005Z } 2022-11-23T01:30:36.6836070Z } 2022-11-23T01:30:36.6836131Z } 2022-11-23T01:30:36.6836192Z } 2022-11-23T01:30:36.6836256Z } 2022-11-23T01:30:36.6836322Z ''') 2022-11-23T01:30:36.6836327Z 2022-11-23T01:30:36.6836345Z 2022-11-23T01:30:36.6836420Z async_compile.wait(globals()) 2022-11-23T01:30:36.6836494Z del async_compile 2022-11-23T01:30:36.6836499Z 2022-11-23T01:30:36.6836570Z def call(args): 2022-11-23T01:30:36.6836645Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6836714Z args.clear() 2022-11-23T01:30:36.6836909Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6837072Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6837129Z del arg0_1 2022-11-23T01:30:36.6837194Z del arg1_1 2022-11-23T01:30:36.6837266Z return (buf0, ) 2022-11-23T01:30:36.6837271Z 2022-11-23T01:30:36.6837275Z 2022-11-23T01:30:36.6837350Z if __name__ == "__main__": 2022-11-23T01:30:36.6837464Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6837586Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6837775Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6837971Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6838073Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6838077Z 2022-11-23T01:30:36.6838145Z ok (1.437s) 2022-11-23T01:30:36.6838488Z test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:06,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6838801Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6839018Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6839268Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6839541Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6839860Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6840306Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6840614Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6840995Z [2022-11-23 01:30:06,207] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6841086Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6841176Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6841250Z 4 BINARY_ADD 2022-11-23T01:30:36.6841373Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6841450Z 8 RETURN_VALUE 2022-11-23T01:30:36.6841511Z 2022-11-23T01:30:36.6841516Z 2022-11-23T01:30:36.6841827Z [2022-11-23 01:30:06,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6842020Z [2022-11-23 01:30:06,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6842291Z [2022-11-23 01:30:06,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6842561Z [2022-11-23 01:30:06,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6842800Z [2022-11-23 01:30:06,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6843044Z [2022-11-23 01:30:06,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6843429Z [2022-11-23 01:30:06,210] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6843667Z [2022-11-23 01:30:06,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6843900Z [2022-11-23 01:30:06,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6844158Z [2022-11-23 01:30:06,212] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6844392Z [2022-11-23 01:30:06,215] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6844581Z [2022-11-23 01:30:06,216] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6844715Z __compiled_fn_502 .3831 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6845007Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6845099Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6845276Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6845370Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6845375Z 2022-11-23T01:30:36.6845702Z [2022-11-23 01:30:06,216] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6845786Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6845876Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6845962Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6846055Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6846141Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6846229Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6846305Z 12 RETURN_VALUE 2022-11-23T01:30:36.6846310Z 2022-11-23T01:30:36.6846370Z 2022-11-23T01:30:36.6846682Z [2022-11-23 01:30:06,216] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6846791Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_502) 2022-11-23T01:30:36.6846878Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6846966Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6847042Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6847132Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6847217Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6847279Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6847366Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6847468Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6847568Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6847655Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6847780Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6847870Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6847932Z 26 RETURN_VALUE 2022-11-23T01:30:36.6847950Z 2022-11-23T01:30:36.6847999Z 2022-11-23T01:30:36.6848180Z [2022-11-23 01:30:06,217] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6848252Z - 2022-11-23T01:30:36.6848371Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6848473Z { 2022-11-23T01:30:36.6848613Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6848785Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6848903Z 'obj_weakref': None 2022-11-23T01:30:36.6849129Z 'guarded_class': 2022-11-23T01:30:36.6849192Z } 2022-11-23T01:30:36.6849256Z 2022-11-23T01:30:36.6849324Z - 2022-11-23T01:30:36.6849447Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6849499Z { 2022-11-23T01:30:36.6849642Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6849749Z 'code': None, 2022-11-23T01:30:36.6849961Z 'obj_weakref': 2022-11-23T01:30:36.6850212Z 'guarded_class': 2022-11-23T01:30:36.6850277Z } 2022-11-23T01:30:36.6850340Z 2022-11-23T01:30:36.6850395Z - 2022-11-23T01:30:36.6850515Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6850577Z { 2022-11-23T01:30:36.6850719Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6850826Z 'code': None, 2022-11-23T01:30:36.6851036Z 'obj_weakref': 2022-11-23T01:30:36.6851290Z 'guarded_class': 2022-11-23T01:30:36.6851353Z } 2022-11-23T01:30:36.6851404Z 2022-11-23T01:30:36.6851473Z - 2022-11-23T01:30:36.6851605Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6851667Z { 2022-11-23T01:30:36.6851799Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6851965Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6852071Z 'obj_weakref': None 2022-11-23T01:30:36.6852298Z 'guarded_class': 2022-11-23T01:30:36.6852363Z } 2022-11-23T01:30:36.6852427Z 2022-11-23T01:30:36.6852495Z - 2022-11-23T01:30:36.6852615Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6852678Z { 2022-11-23T01:30:36.6852799Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6853016Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6853134Z 'obj_weakref': None 2022-11-23T01:30:36.6853354Z 'guarded_class': 2022-11-23T01:30:36.6853418Z } 2022-11-23T01:30:36.6853481Z 2022-11-23T01:30:36.6853741Z [2022-11-23 01:30:06,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 494 2022-11-23T01:30:36.6854108Z [2022-11-23 01:30:07,649] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjnmlc77v7p4fnwd4pjgtqtm5sqnijujvzrtfhtpytaj5znxswzl.py 2022-11-23T01:30:36.6854356Z [2022-11-23 01:30:07,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 494 2022-11-23T01:30:36.6854375Z 2022-11-23T01:30:36.6854455Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6854522Z import torch 2022-11-23T01:30:36.6854591Z import random 2022-11-23T01:30:36.6854733Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6854855Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6854861Z 2022-11-23T01:30:36.6854938Z aten = torch.ops.aten 2022-11-23T01:30:36.6855072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6855152Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6855156Z 2022-11-23T01:30:36.6855172Z 2022-11-23T01:30:36.6855322Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6855525Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6855640Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6855743Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6855839Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6855899Z { 2022-11-23T01:30:36.6855995Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6856044Z { 2022-11-23T01:30:36.6856121Z #pragma omp for 2022-11-23T01:30:36.6856203Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6856267Z { 2022-11-23T01:30:36.6856344Z #pragma GCC ivdep 2022-11-23T01:30:36.6856428Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6856480Z { 2022-11-23T01:30:36.6856544Z { 2022-11-23T01:30:36.6856611Z { 2022-11-23T01:30:36.6856706Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6856801Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:30:36.6856908Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6856999Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6857082Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6857148Z } 2022-11-23T01:30:36.6857210Z } 2022-11-23T01:30:36.6857273Z } 2022-11-23T01:30:36.6857339Z } 2022-11-23T01:30:36.6857400Z } 2022-11-23T01:30:36.6857461Z } 2022-11-23T01:30:36.6857527Z ''') 2022-11-23T01:30:36.6857532Z 2022-11-23T01:30:36.6857536Z 2022-11-23T01:30:36.6857625Z async_compile.wait(globals()) 2022-11-23T01:30:36.6857695Z del async_compile 2022-11-23T01:30:36.6857700Z 2022-11-23T01:30:36.6857770Z def call(args): 2022-11-23T01:30:36.6857845Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6857914Z args.clear() 2022-11-23T01:30:36.6858123Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6858288Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6858342Z del arg0_1 2022-11-23T01:30:36.6858408Z del arg1_1 2022-11-23T01:30:36.6858479Z return (buf0, ) 2022-11-23T01:30:36.6858484Z 2022-11-23T01:30:36.6858488Z 2022-11-23T01:30:36.6858566Z if __name__ == "__main__": 2022-11-23T01:30:36.6858681Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6858806Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6858998Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6859187Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6859301Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6859305Z 2022-11-23T01:30:36.6859372Z ok (1.449s) 2022-11-23T01:30:36.6859717Z test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:07,654] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6860029Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6860246Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6860529Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6860807Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6861126Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6861472Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6861812Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6862196Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6862291Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6862382Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6862456Z 4 BINARY_ADD 2022-11-23T01:30:36.6862545Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6862622Z 8 RETURN_VALUE 2022-11-23T01:30:36.6862682Z 2022-11-23T01:30:36.6862687Z 2022-11-23T01:30:36.6862984Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6863195Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6863433Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6863704Z [2022-11-23 01:30:07,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6863946Z [2022-11-23 01:30:07,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6864192Z [2022-11-23 01:30:07,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6864576Z [2022-11-23 01:30:07,657] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6864818Z [2022-11-23 01:30:07,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6865053Z [2022-11-23 01:30:07,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6865305Z [2022-11-23 01:30:07,658] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6865541Z [2022-11-23 01:30:07,660] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6865732Z [2022-11-23 01:30:07,661] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6865865Z __compiled_fn_503 .3837 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6865957Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6866046Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6866226Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6866320Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6866328Z 2022-11-23T01:30:36.6866650Z [2022-11-23 01:30:07,661] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6866730Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6866821Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6866906Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6866997Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6867081Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6867196Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6867273Z 12 RETURN_VALUE 2022-11-23T01:30:36.6867278Z 2022-11-23T01:30:36.6867326Z 2022-11-23T01:30:36.6867645Z [2022-11-23 01:30:07,661] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6867751Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_503) 2022-11-23T01:30:36.6867882Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6867969Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6868046Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6868134Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6868220Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6868284Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6868372Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6868477Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6868579Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6868668Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6868743Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6868831Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6868892Z 26 RETURN_VALUE 2022-11-23T01:30:36.6868897Z 2022-11-23T01:30:36.6868956Z 2022-11-23T01:30:36.6869140Z [2022-11-23 01:30:07,662] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6869209Z - 2022-11-23T01:30:36.6869330Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6869394Z { 2022-11-23T01:30:36.6869534Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6869705Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6869824Z 'obj_weakref': None 2022-11-23T01:30:36.6870050Z 'guarded_class': 2022-11-23T01:30:36.6870115Z } 2022-11-23T01:30:36.6870179Z 2022-11-23T01:30:36.6870249Z - 2022-11-23T01:30:36.6870372Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6870422Z { 2022-11-23T01:30:36.6870562Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6870668Z 'code': None, 2022-11-23T01:30:36.6870877Z 'obj_weakref': 2022-11-23T01:30:36.6871129Z 'guarded_class': 2022-11-23T01:30:36.6871192Z } 2022-11-23T01:30:36.6871257Z 2022-11-23T01:30:36.6871314Z - 2022-11-23T01:30:36.6871437Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6871499Z { 2022-11-23T01:30:36.6871642Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6871749Z 'code': None, 2022-11-23T01:30:36.6871956Z 'obj_weakref': 2022-11-23T01:30:36.6872203Z 'guarded_class': 2022-11-23T01:30:36.6872254Z } 2022-11-23T01:30:36.6872317Z 2022-11-23T01:30:36.6872387Z - 2022-11-23T01:30:36.6872516Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6872582Z { 2022-11-23T01:30:36.6872715Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6872880Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6872984Z 'obj_weakref': None 2022-11-23T01:30:36.6873214Z 'guarded_class': 2022-11-23T01:30:36.6873278Z } 2022-11-23T01:30:36.6873339Z 2022-11-23T01:30:36.6873408Z - 2022-11-23T01:30:36.6873556Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6873620Z { 2022-11-23T01:30:36.6873743Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6873955Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6874071Z 'obj_weakref': None 2022-11-23T01:30:36.6874293Z 'guarded_class': 2022-11-23T01:30:36.6874389Z } 2022-11-23T01:30:36.6874450Z 2022-11-23T01:30:36.6874708Z [2022-11-23 01:30:07,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 495 2022-11-23T01:30:36.6875175Z [2022-11-23 01:30:09,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflldtla6ageqynnbv4dszmisgcc35bjg3acgcgeke3ctnejebcn.py 2022-11-23T01:30:36.6875432Z [2022-11-23 01:30:09,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 495 2022-11-23T01:30:36.6875440Z 2022-11-23T01:30:36.6875534Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6875603Z import torch 2022-11-23T01:30:36.6875671Z import random 2022-11-23T01:30:36.6875786Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6875906Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6875911Z 2022-11-23T01:30:36.6875990Z aten = torch.ops.aten 2022-11-23T01:30:36.6876125Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6876205Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6876210Z 2022-11-23T01:30:36.6876214Z 2022-11-23T01:30:36.6876349Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6876554Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6876670Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6876773Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6876874Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6876935Z { 2022-11-23T01:30:36.6877019Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6877081Z { 2022-11-23T01:30:36.6877157Z #pragma omp for 2022-11-23T01:30:36.6877240Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6877304Z { 2022-11-23T01:30:36.6877366Z { 2022-11-23T01:30:36.6877432Z { 2022-11-23T01:30:36.6877514Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6877604Z auto tmp2 = in_ptr1[0]; 2022-11-23T01:30:36.6877709Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6877801Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6877885Z out_ptr0[i0] = tmp3; 2022-11-23T01:30:36.6877950Z } 2022-11-23T01:30:36.6878012Z } 2022-11-23T01:30:36.6878062Z } 2022-11-23T01:30:36.6878121Z } 2022-11-23T01:30:36.6878181Z } 2022-11-23T01:30:36.6878260Z ''') 2022-11-23T01:30:36.6878265Z 2022-11-23T01:30:36.6878269Z 2022-11-23T01:30:36.6878357Z async_compile.wait(globals()) 2022-11-23T01:30:36.6878429Z del async_compile 2022-11-23T01:30:36.6878433Z 2022-11-23T01:30:36.6878502Z def call(args): 2022-11-23T01:30:36.6878564Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6878636Z args.clear() 2022-11-23T01:30:36.6878828Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6878992Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6879060Z del arg0_1 2022-11-23T01:30:36.6879125Z del arg1_1 2022-11-23T01:30:36.6879196Z return (buf0, ) 2022-11-23T01:30:36.6879201Z 2022-11-23T01:30:36.6879205Z 2022-11-23T01:30:36.6879281Z if __name__ == "__main__": 2022-11-23T01:30:36.6879382Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6879506Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6879734Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6879931Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6880118Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6880123Z 2022-11-23T01:30:36.6880193Z ok (1.427s) 2022-11-23T01:30:36.6880524Z test_cpu_int_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6880881Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6881084Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6881338Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6881618Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6881937Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6882282Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6882607Z [2022-11-23 01:30:09,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6882988Z [2022-11-23 01:30:09,083] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6883078Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6883170Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6883246Z 4 BINARY_ADD 2022-11-23T01:30:36.6883361Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6883475Z 8 RETURN_VALUE 2022-11-23T01:30:36.6883537Z 2022-11-23T01:30:36.6883542Z 2022-11-23T01:30:36.6883856Z [2022-11-23 01:30:09,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6884067Z [2022-11-23 01:30:09,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6884301Z [2022-11-23 01:30:09,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6884572Z [2022-11-23 01:30:09,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6884921Z [2022-11-23 01:30:09,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6885157Z [2022-11-23 01:30:09,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6885543Z [2022-11-23 01:30:09,084] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6885906Z [2022-11-23 01:30:09,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6886153Z [2022-11-23 01:30:09,085] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6886405Z [2022-11-23 01:30:09,085] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6886649Z [2022-11-23 01:30:09,088] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6886836Z [2022-11-23 01:30:09,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6887025Z __compiled_fn_504 .3843 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6887115Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6887189Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6887367Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6887461Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6887467Z 2022-11-23T01:30:36.6887792Z [2022-11-23 01:30:09,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6887928Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6888019Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6888106Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6888198Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6888269Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6888355Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6888431Z 12 RETURN_VALUE 2022-11-23T01:30:36.6888437Z 2022-11-23T01:30:36.6888497Z 2022-11-23T01:30:36.6888818Z [2022-11-23 01:30:09,089] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6888927Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_504) 2022-11-23T01:30:36.6889017Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6889095Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6889172Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6889260Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6889347Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6889420Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6889506Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6889606Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6889706Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6889784Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6889859Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6889945Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6890020Z 26 RETURN_VALUE 2022-11-23T01:30:36.6890024Z 2022-11-23T01:30:36.6890086Z 2022-11-23T01:30:36.6890267Z [2022-11-23 01:30:09,089] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6890339Z - 2022-11-23T01:30:36.6890444Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6890507Z { 2022-11-23T01:30:36.6890646Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6890831Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6890950Z 'obj_weakref': None 2022-11-23T01:30:36.6891172Z 'guarded_class': 2022-11-23T01:30:36.6891239Z } 2022-11-23T01:30:36.6891290Z 2022-11-23T01:30:36.6891359Z - 2022-11-23T01:30:36.6891481Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6891544Z { 2022-11-23T01:30:36.6891684Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6891789Z 'code': None, 2022-11-23T01:30:36.6891997Z 'obj_weakref': 2022-11-23T01:30:36.6892236Z 'guarded_class': 2022-11-23T01:30:36.6892300Z } 2022-11-23T01:30:36.6892363Z 2022-11-23T01:30:36.6892430Z - 2022-11-23T01:30:36.6892551Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6892613Z { 2022-11-23T01:30:36.6892752Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6892845Z 'code': None, 2022-11-23T01:30:36.6893083Z 'obj_weakref': 2022-11-23T01:30:36.6893335Z 'guarded_class': 2022-11-23T01:30:36.6893402Z } 2022-11-23T01:30:36.6893465Z 2022-11-23T01:30:36.6893533Z - 2022-11-23T01:30:36.6893662Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6893713Z { 2022-11-23T01:30:36.6893873Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6894040Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6894159Z 'obj_weakref': None 2022-11-23T01:30:36.6894386Z 'guarded_class': 2022-11-23T01:30:36.6894450Z } 2022-11-23T01:30:36.6894512Z 2022-11-23T01:30:36.6894568Z - 2022-11-23T01:30:36.6894689Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6894751Z { 2022-11-23T01:30:36.6894887Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6895100Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6895218Z 'obj_weakref': None 2022-11-23T01:30:36.6895438Z 'guarded_class': 2022-11-23T01:30:36.6895488Z } 2022-11-23T01:30:36.6895554Z 2022-11-23T01:30:36.6895812Z [2022-11-23 01:30:09,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 496 2022-11-23T01:30:36.6896172Z [2022-11-23 01:30:10,531] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfka7e4bvoetn7n4zl52vx3bsak5hrgnjgulzwl65dqzj4qnnssi.py 2022-11-23T01:30:36.6896434Z [2022-11-23 01:30:10,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 496 2022-11-23T01:30:36.6896439Z 2022-11-23T01:30:36.6896535Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6896602Z import torch 2022-11-23T01:30:36.6896671Z import random 2022-11-23T01:30:36.6896773Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6896893Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6896898Z 2022-11-23T01:30:36.6896974Z aten = torch.ops.aten 2022-11-23T01:30:36.6897108Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6897201Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6897206Z 2022-11-23T01:30:36.6897210Z 2022-11-23T01:30:36.6897341Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6897547Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6897662Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6897753Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6897851Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6897914Z { 2022-11-23T01:30:36.6898010Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6898072Z { 2022-11-23T01:30:36.6898148Z #pragma omp for 2022-11-23T01:30:36.6898229Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6898279Z { 2022-11-23T01:30:36.6898361Z #pragma GCC ivdep 2022-11-23T01:30:36.6898445Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6898508Z { 2022-11-23T01:30:36.6898574Z { 2022-11-23T01:30:36.6898641Z { 2022-11-23T01:30:36.6898735Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6898824Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6898932Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6899025Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6899123Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6899189Z } 2022-11-23T01:30:36.6899282Z } 2022-11-23T01:30:36.6899347Z } 2022-11-23T01:30:36.6899397Z } 2022-11-23T01:30:36.6899457Z } 2022-11-23T01:30:36.6899517Z } 2022-11-23T01:30:36.6899595Z ''') 2022-11-23T01:30:36.6899600Z 2022-11-23T01:30:36.6899604Z 2022-11-23T01:30:36.6899693Z async_compile.wait(globals()) 2022-11-23T01:30:36.6899764Z del async_compile 2022-11-23T01:30:36.6899768Z 2022-11-23T01:30:36.6899890Z def call(args): 2022-11-23T01:30:36.6899951Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6900023Z args.clear() 2022-11-23T01:30:36.6900223Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6900389Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6900458Z del arg0_1 2022-11-23T01:30:36.6900526Z del arg1_1 2022-11-23T01:30:36.6900597Z return (buf0, ) 2022-11-23T01:30:36.6900602Z 2022-11-23T01:30:36.6900606Z 2022-11-23T01:30:36.6900670Z if __name__ == "__main__": 2022-11-23T01:30:36.6900783Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6900905Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6901096Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6901293Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6901407Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6901414Z 2022-11-23T01:30:36.6901481Z ok (1.454s) 2022-11-23T01:30:36.6901814Z test_cpu_int_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:10,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6902130Z [2022-11-23 01:30:10,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6902337Z [2022-11-23 01:30:10,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6902590Z [2022-11-23 01:30:10,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6902870Z [2022-11-23 01:30:10,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6903195Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6903544Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6903866Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6904246Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6904338Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6904428Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6904489Z 4 BINARY_ADD 2022-11-23T01:30:36.6904579Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6904655Z 8 RETURN_VALUE 2022-11-23T01:30:36.6904720Z 2022-11-23T01:30:36.6904724Z 2022-11-23T01:30:36.6905037Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6905245Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6905480Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6905778Z [2022-11-23 01:30:10,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6906021Z [2022-11-23 01:30:10,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6906253Z [2022-11-23 01:30:10,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6906642Z [2022-11-23 01:30:10,538] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6906917Z [2022-11-23 01:30:10,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6907153Z [2022-11-23 01:30:10,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6907406Z [2022-11-23 01:30:10,539] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6907656Z [2022-11-23 01:30:10,542] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6907842Z [2022-11-23 01:30:10,542] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6907976Z __compiled_fn_505 .3849 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6908063Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6908136Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6908315Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6908412Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6908417Z 2022-11-23T01:30:36.6908744Z [2022-11-23 01:30:10,543] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6908838Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6908929Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6909016Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6909097Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6909183Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6909271Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6909347Z 12 RETURN_VALUE 2022-11-23T01:30:36.6909352Z 2022-11-23T01:30:36.6909415Z 2022-11-23T01:30:36.6909735Z [2022-11-23 01:30:10,543] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6909846Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_505) 2022-11-23T01:30:36.6909993Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6910069Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6910148Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6910236Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6910326Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6910404Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6910492Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6910595Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6910683Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6910772Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6910846Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6910934Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6911014Z 26 RETURN_VALUE 2022-11-23T01:30:36.6911019Z 2022-11-23T01:30:36.6911079Z 2022-11-23T01:30:36.6911262Z [2022-11-23 01:30:10,543] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6911318Z - 2022-11-23T01:30:36.6911438Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6911501Z { 2022-11-23T01:30:36.6911642Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6911826Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6911977Z 'obj_weakref': None 2022-11-23T01:30:36.6912203Z 'guarded_class': 2022-11-23T01:30:36.6912268Z } 2022-11-23T01:30:36.6912320Z 2022-11-23T01:30:36.6912389Z - 2022-11-23T01:30:36.6912511Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6912575Z { 2022-11-23T01:30:36.6912715Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6912864Z 'code': None, 2022-11-23T01:30:36.6913062Z 'obj_weakref': 2022-11-23T01:30:36.6913311Z 'guarded_class': 2022-11-23T01:30:36.6913376Z } 2022-11-23T01:30:36.6913438Z 2022-11-23T01:30:36.6913508Z - 2022-11-23T01:30:36.6913629Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6913694Z { 2022-11-23T01:30:36.6913822Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6913928Z 'code': None, 2022-11-23T01:30:36.6914135Z 'obj_weakref': 2022-11-23T01:30:36.6914383Z 'guarded_class': 2022-11-23T01:30:36.6914450Z } 2022-11-23T01:30:36.6914514Z 2022-11-23T01:30:36.6914583Z - 2022-11-23T01:30:36.6914701Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6914762Z { 2022-11-23T01:30:36.6914897Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6915065Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6915183Z 'obj_weakref': None 2022-11-23T01:30:36.6915412Z 'guarded_class': 2022-11-23T01:30:36.6915477Z } 2022-11-23T01:30:36.6915538Z 2022-11-23T01:30:36.6915594Z - 2022-11-23T01:30:36.6915714Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6915776Z { 2022-11-23T01:30:36.6915910Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6916123Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6916242Z 'obj_weakref': None 2022-11-23T01:30:36.6916460Z 'guarded_class': 2022-11-23T01:30:36.6916511Z } 2022-11-23T01:30:36.6916573Z 2022-11-23T01:30:36.6916832Z [2022-11-23 01:30:10,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 497 2022-11-23T01:30:36.6917192Z [2022-11-23 01:30:11,975] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cw/ccwm4tea2cyd24t22ysoyp5cjrjkwlvfu4ak4fb25hs4lthdc4p3.py 2022-11-23T01:30:36.6917457Z [2022-11-23 01:30:11,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 497 2022-11-23T01:30:36.6917462Z 2022-11-23T01:30:36.6917556Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6917626Z import torch 2022-11-23T01:30:36.6917694Z import random 2022-11-23T01:30:36.6917797Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6917917Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6917924Z 2022-11-23T01:30:36.6918000Z aten = torch.ops.aten 2022-11-23T01:30:36.6918133Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6918225Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6918229Z 2022-11-23T01:30:36.6918235Z 2022-11-23T01:30:36.6918364Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6918568Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6918711Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6918806Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.6918907Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.6918969Z { 2022-11-23T01:30:36.6919070Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6919130Z { 2022-11-23T01:30:36.6919205Z #pragma omp for 2022-11-23T01:30:36.6919287Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6919371Z { 2022-11-23T01:30:36.6919451Z #pragma GCC ivdep 2022-11-23T01:30:36.6919537Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6919601Z { 2022-11-23T01:30:36.6919665Z { 2022-11-23T01:30:36.6919732Z { 2022-11-23T01:30:36.6919813Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6919917Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6920134Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6920231Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6920328Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6920394Z } 2022-11-23T01:30:36.6920458Z } 2022-11-23T01:30:36.6920509Z } 2022-11-23T01:30:36.6920573Z } 2022-11-23T01:30:36.6920634Z } 2022-11-23T01:30:36.6920693Z } 2022-11-23T01:30:36.6920775Z ''') 2022-11-23T01:30:36.6920783Z 2022-11-23T01:30:36.6920787Z 2022-11-23T01:30:36.6920875Z async_compile.wait(globals()) 2022-11-23T01:30:36.6920947Z del async_compile 2022-11-23T01:30:36.6920952Z 2022-11-23T01:30:36.6921021Z def call(args): 2022-11-23T01:30:36.6921083Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6921153Z args.clear() 2022-11-23T01:30:36.6921353Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6921518Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6921587Z del arg0_1 2022-11-23T01:30:36.6921654Z del arg1_1 2022-11-23T01:30:36.6921724Z return (buf0, ) 2022-11-23T01:30:36.6921728Z 2022-11-23T01:30:36.6921732Z 2022-11-23T01:30:36.6921795Z if __name__ == "__main__": 2022-11-23T01:30:36.6921908Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6922033Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6922228Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6922426Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.6922539Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6922544Z 2022-11-23T01:30:36.6922609Z ok (1.444s) 2022-11-23T01:30:36.6922932Z test_cpu_int_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6923240Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6923455Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6923706Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6923982Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6924301Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6924644Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6925165Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6925556Z [2022-11-23 01:30:11,982] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6925648Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6925738Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6925834Z 4 BINARY_ADD 2022-11-23T01:30:36.6925923Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6925999Z 8 RETURN_VALUE 2022-11-23T01:30:36.6926059Z 2022-11-23T01:30:36.6926064Z 2022-11-23T01:30:36.6926377Z [2022-11-23 01:30:11,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6926586Z [2022-11-23 01:30:11,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6926825Z [2022-11-23 01:30:11,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6927102Z [2022-11-23 01:30:11,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6927330Z [2022-11-23 01:30:11,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6927573Z [2022-11-23 01:30:11,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6927961Z [2022-11-23 01:30:11,984] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6928206Z [2022-11-23 01:30:11,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6928438Z [2022-11-23 01:30:11,984] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6928695Z [2022-11-23 01:30:11,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6928940Z [2022-11-23 01:30:11,990] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6929127Z [2022-11-23 01:30:11,990] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6929260Z __compiled_fn_506 .3855 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6929339Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6929425Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6929602Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6929701Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6929706Z 2022-11-23T01:30:36.6930031Z [2022-11-23 01:30:11,991] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6930127Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6930217Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6930302Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6930381Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6930469Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6930558Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6930638Z 12 RETURN_VALUE 2022-11-23T01:30:36.6930643Z 2022-11-23T01:30:36.6930703Z 2022-11-23T01:30:36.6931025Z [2022-11-23 01:30:11,991] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6931133Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_506) 2022-11-23T01:30:36.6931221Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6931298Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6931407Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6931496Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6931582Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6931657Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6931744Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6931846Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6931934Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6932052Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6932126Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6932213Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6932288Z 26 RETURN_VALUE 2022-11-23T01:30:36.6932293Z 2022-11-23T01:30:36.6932351Z 2022-11-23T01:30:36.6932532Z [2022-11-23 01:30:11,992] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6932588Z - 2022-11-23T01:30:36.6932707Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6932774Z { 2022-11-23T01:30:36.6932914Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6933101Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6933219Z 'obj_weakref': None 2022-11-23T01:30:36.6933445Z 'guarded_class': 2022-11-23T01:30:36.6933498Z } 2022-11-23T01:30:36.6933565Z 2022-11-23T01:30:36.6933634Z - 2022-11-23T01:30:36.6933759Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6933823Z { 2022-11-23T01:30:36.6933964Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6934069Z 'code': None, 2022-11-23T01:30:36.6934270Z 'obj_weakref': 2022-11-23T01:30:36.6934522Z 'guarded_class': 2022-11-23T01:30:36.6934589Z } 2022-11-23T01:30:36.6934653Z 2022-11-23T01:30:36.6934720Z - 2022-11-23T01:30:36.6934842Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6934904Z { 2022-11-23T01:30:36.6935033Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6935140Z 'code': None, 2022-11-23T01:30:36.6935350Z 'obj_weakref': 2022-11-23T01:30:36.6935604Z 'guarded_class': 2022-11-23T01:30:36.6935669Z } 2022-11-23T01:30:36.6935733Z 2022-11-23T01:30:36.6935802Z - 2022-11-23T01:30:36.6935920Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6935984Z { 2022-11-23T01:30:36.6936117Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6936284Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6936404Z 'obj_weakref': None 2022-11-23T01:30:36.6936631Z 'guarded_class': 2022-11-23T01:30:36.6936694Z } 2022-11-23T01:30:36.6936743Z 2022-11-23T01:30:36.6936810Z - 2022-11-23T01:30:36.6936931Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6936992Z { 2022-11-23T01:30:36.6937129Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6937341Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6937457Z 'obj_weakref': None 2022-11-23T01:30:36.6937665Z 'guarded_class': 2022-11-23T01:30:36.6937730Z } 2022-11-23T01:30:36.6937792Z 2022-11-23T01:30:36.6938075Z [2022-11-23 01:30:11,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 498 2022-11-23T01:30:36.6938447Z [2022-11-23 01:30:13,433] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clfanwu2ao5duzkltqos62t2hoacigmv7kqi2o52kaipigw6xdvn.py 2022-11-23T01:30:36.6938709Z [2022-11-23 01:30:13,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 498 2022-11-23T01:30:36.6938715Z 2022-11-23T01:30:36.6938808Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6938910Z import torch 2022-11-23T01:30:36.6938966Z import random 2022-11-23T01:30:36.6939081Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6939202Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6939208Z 2022-11-23T01:30:36.6939287Z aten = torch.ops.aten 2022-11-23T01:30:36.6939425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6939519Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6939524Z 2022-11-23T01:30:36.6939528Z 2022-11-23T01:30:36.6939664Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6939869Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6939972Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6940074Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.6940167Z int* __restrict__ out_ptr0) 2022-11-23T01:30:36.6940233Z { 2022-11-23T01:30:36.6940333Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6940394Z { 2022-11-23T01:30:36.6940471Z #pragma omp for 2022-11-23T01:30:36.6940541Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6940604Z { 2022-11-23T01:30:36.6940667Z { 2022-11-23T01:30:36.6940733Z { 2022-11-23T01:30:36.6940826Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6940917Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.6941005Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.6941079Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.6941145Z } 2022-11-23T01:30:36.6941208Z } 2022-11-23T01:30:36.6941273Z } 2022-11-23T01:30:36.6941334Z } 2022-11-23T01:30:36.6941394Z } 2022-11-23T01:30:36.6941459Z ''') 2022-11-23T01:30:36.6941476Z 2022-11-23T01:30:36.6941480Z 2022-11-23T01:30:36.6941558Z async_compile.wait(globals()) 2022-11-23T01:30:36.6941630Z del async_compile 2022-11-23T01:30:36.6941637Z 2022-11-23T01:30:36.6941708Z def call(args): 2022-11-23T01:30:36.6941786Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6941857Z args.clear() 2022-11-23T01:30:36.6942047Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6942208Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6942264Z del arg0_1 2022-11-23T01:30:36.6942331Z del arg1_1 2022-11-23T01:30:36.6942402Z return (buf0, ) 2022-11-23T01:30:36.6942409Z 2022-11-23T01:30:36.6942413Z 2022-11-23T01:30:36.6942492Z if __name__ == "__main__": 2022-11-23T01:30:36.6942608Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6942730Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6942920Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6943107Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6943213Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6943218Z 2022-11-23T01:30:36.6943284Z ok (1.458s) 2022-11-23T01:30:36.6943617Z test_cpu_int_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:13,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6943933Z [2022-11-23 01:30:13,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6944179Z [2022-11-23 01:30:13,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6944438Z [2022-11-23 01:30:13,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6944714Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6945036Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6945413Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6945737Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6946104Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6946197Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6946288Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6946365Z 4 BINARY_ADD 2022-11-23T01:30:36.6946455Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6946533Z 8 RETURN_VALUE 2022-11-23T01:30:36.6946596Z 2022-11-23T01:30:36.6946600Z 2022-11-23T01:30:36.6946914Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6947110Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6947348Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6947686Z [2022-11-23 01:30:13,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6947928Z [2022-11-23 01:30:13,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6948173Z [2022-11-23 01:30:13,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6948559Z [2022-11-23 01:30:13,443] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6948805Z [2022-11-23 01:30:13,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6949037Z [2022-11-23 01:30:13,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6949288Z [2022-11-23 01:30:13,444] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6949527Z [2022-11-23 01:30:13,449] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6949713Z [2022-11-23 01:30:13,449] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6949847Z __compiled_fn_507 .3861 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6949937Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6950026Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6950206Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6950300Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6950305Z 2022-11-23T01:30:36.6950633Z [2022-11-23 01:30:13,450] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6950725Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6950801Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6950914Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6951011Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6951098Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6951187Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6951262Z 12 RETURN_VALUE 2022-11-23T01:30:36.6951267Z 2022-11-23T01:30:36.6951327Z 2022-11-23T01:30:36.6951639Z [2022-11-23 01:30:13,450] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6951776Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_507) 2022-11-23T01:30:36.6951864Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6951953Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6952030Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6952117Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6952203Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6952268Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6952357Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6952459Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6952563Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6952651Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6952726Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6952815Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6952888Z 26 RETURN_VALUE 2022-11-23T01:30:36.6952893Z 2022-11-23T01:30:36.6952939Z 2022-11-23T01:30:36.6953122Z [2022-11-23 01:30:13,451] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6953191Z - 2022-11-23T01:30:36.6953310Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6953374Z { 2022-11-23T01:30:36.6953513Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6953701Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6953808Z 'obj_weakref': None 2022-11-23T01:30:36.6954030Z 'guarded_class': 2022-11-23T01:30:36.6954094Z } 2022-11-23T01:30:36.6954157Z 2022-11-23T01:30:36.6954225Z - 2022-11-23T01:30:36.6954345Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6954411Z { 2022-11-23T01:30:36.6954541Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6954647Z 'code': None, 2022-11-23T01:30:36.6954861Z 'obj_weakref': 2022-11-23T01:30:36.6960543Z 'guarded_class': 2022-11-23T01:30:36.6960654Z } 2022-11-23T01:30:36.6960706Z 2022-11-23T01:30:36.6960804Z - 2022-11-23T01:30:36.6960952Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6961022Z { 2022-11-23T01:30:36.6961175Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6961288Z 'code': None, 2022-11-23T01:30:36.6961510Z 'obj_weakref': 2022-11-23T01:30:36.6961752Z 'guarded_class': 2022-11-23T01:30:36.6961824Z } 2022-11-23T01:30:36.6961890Z 2022-11-23T01:30:36.6961963Z - 2022-11-23T01:30:36.6962095Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6962164Z { 2022-11-23T01:30:36.6962298Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6962454Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6962574Z 'obj_weakref': None 2022-11-23T01:30:36.6962876Z 'guarded_class': 2022-11-23T01:30:36.6962943Z } 2022-11-23T01:30:36.6963012Z 2022-11-23T01:30:36.6963085Z - 2022-11-23T01:30:36.6963211Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6963263Z { 2022-11-23T01:30:36.6963399Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6963617Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6963770Z 'obj_weakref': None 2022-11-23T01:30:36.6963993Z 'guarded_class': 2022-11-23T01:30:36.6964059Z } 2022-11-23T01:30:36.6964123Z 2022-11-23T01:30:36.6964375Z [2022-11-23 01:30:13,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 499 2022-11-23T01:30:36.6964924Z [2022-11-23 01:30:14,891] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fj/cfjpewkrtc46egwqwfcc5fqyspertmx2ebwmgkmtpa3tqvhpqjh6.py 2022-11-23T01:30:36.6965199Z [2022-11-23 01:30:14,891] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 499 2022-11-23T01:30:36.6965205Z 2022-11-23T01:30:36.6965303Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6965373Z import torch 2022-11-23T01:30:36.6965445Z import random 2022-11-23T01:30:36.6965562Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6965687Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6965693Z 2022-11-23T01:30:36.6965757Z aten = torch.ops.aten 2022-11-23T01:30:36.6965893Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6965987Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6965992Z 2022-11-23T01:30:36.6965997Z 2022-11-23T01:30:36.6966134Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6966344Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6966514Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6966662Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6966769Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6966818Z { 2022-11-23T01:30:36.6966916Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6966980Z { 2022-11-23T01:30:36.6967060Z #pragma omp for 2022-11-23T01:30:36.6967147Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6967213Z { 2022-11-23T01:30:36.6967298Z #pragma GCC ivdep 2022-11-23T01:30:36.6967370Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6967435Z { 2022-11-23T01:30:36.6967501Z { 2022-11-23T01:30:36.6967569Z { 2022-11-23T01:30:36.6967666Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:30:36.6967772Z auto tmp2 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.6967886Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6967966Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6968064Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6968132Z } 2022-11-23T01:30:36.6968201Z } 2022-11-23T01:30:36.6968265Z } 2022-11-23T01:30:36.6968334Z } 2022-11-23T01:30:36.6968398Z } 2022-11-23T01:30:36.6968449Z } 2022-11-23T01:30:36.6968533Z ''') 2022-11-23T01:30:36.6968538Z 2022-11-23T01:30:36.6968542Z 2022-11-23T01:30:36.6968636Z async_compile.wait(globals()) 2022-11-23T01:30:36.6968710Z del async_compile 2022-11-23T01:30:36.6968714Z 2022-11-23T01:30:36.6968788Z def call(args): 2022-11-23T01:30:36.6968865Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6968938Z args.clear() 2022-11-23T01:30:36.6969125Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6969354Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6969426Z del arg0_1 2022-11-23T01:30:36.6969493Z del arg1_1 2022-11-23T01:30:36.6969567Z return (buf0, ) 2022-11-23T01:30:36.6969572Z 2022-11-23T01:30:36.6969576Z 2022-11-23T01:30:36.6969655Z if __name__ == "__main__": 2022-11-23T01:30:36.6969769Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6969892Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6970108Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6970309Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6970425Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6970430Z 2022-11-23T01:30:36.6970501Z ok (1.458s) 2022-11-23T01:30:36.6970849Z test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:14,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6971168Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6971388Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6971645Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6971911Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6972234Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6972584Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6972915Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6973298Z [2022-11-23 01:30:14,899] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6973391Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6973489Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6973563Z 4 BINARY_ADD 2022-11-23T01:30:36.6973655Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6973718Z 8 RETURN_VALUE 2022-11-23T01:30:36.6973781Z 2022-11-23T01:30:36.6973786Z 2022-11-23T01:30:36.6974101Z [2022-11-23 01:30:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6974314Z [2022-11-23 01:30:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6974553Z [2022-11-23 01:30:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6974827Z [2022-11-23 01:30:14,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6975069Z [2022-11-23 01:30:14,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6975320Z [2022-11-23 01:30:14,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6975706Z [2022-11-23 01:30:14,902] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6975951Z [2022-11-23 01:30:14,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6976201Z [2022-11-23 01:30:14,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6976461Z [2022-11-23 01:30:14,903] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6976710Z [2022-11-23 01:30:14,907] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6976898Z [2022-11-23 01:30:14,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6977064Z __compiled_fn_508 .3867 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6977202Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6977325Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6977565Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6977649Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6977654Z 2022-11-23T01:30:36.6977985Z [2022-11-23 01:30:14,908] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6978080Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6978173Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6978262Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6978357Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6978443Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6978536Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6978599Z 12 RETURN_VALUE 2022-11-23T01:30:36.6978603Z 2022-11-23T01:30:36.6978665Z 2022-11-23T01:30:36.6978988Z [2022-11-23 01:30:14,908] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6979098Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_508) 2022-11-23T01:30:36.6979190Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6979283Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6979362Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.6979439Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6979529Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.6979603Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.6979692Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.6979797Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6979904Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.6979996Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.6980059Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.6980149Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.6980225Z 26 RETURN_VALUE 2022-11-23T01:30:36.6980230Z 2022-11-23T01:30:36.6980293Z 2022-11-23T01:30:36.6980476Z [2022-11-23 01:30:14,909] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.6980550Z - 2022-11-23T01:30:36.6980673Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.6980740Z { 2022-11-23T01:30:36.6980868Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.6981055Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.6981175Z 'obj_weakref': None 2022-11-23T01:30:36.6981401Z 'guarded_class': 2022-11-23T01:30:36.6981471Z } 2022-11-23T01:30:36.6981540Z 2022-11-23T01:30:36.6981612Z - 2022-11-23T01:30:36.6981722Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.6981788Z { 2022-11-23T01:30:36.6981929Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6982036Z 'code': None, 2022-11-23T01:30:36.6982252Z 'obj_weakref': 2022-11-23T01:30:36.6982552Z 'guarded_class': 2022-11-23T01:30:36.6982617Z } 2022-11-23T01:30:36.6982667Z 2022-11-23T01:30:36.6982738Z - 2022-11-23T01:30:36.6982863Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.6982928Z { 2022-11-23T01:30:36.6983071Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.6983179Z 'code': None, 2022-11-23T01:30:36.6983423Z 'obj_weakref': 2022-11-23T01:30:36.6983661Z 'guarded_class': 2022-11-23T01:30:36.6983726Z } 2022-11-23T01:30:36.6983791Z 2022-11-23T01:30:36.6983860Z - 2022-11-23T01:30:36.6984051Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.6984145Z { 2022-11-23T01:30:36.6984287Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.6984447Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.6984567Z 'obj_weakref': None 2022-11-23T01:30:36.6984799Z 'guarded_class': 2022-11-23T01:30:36.6984865Z } 2022-11-23T01:30:36.6984930Z 2022-11-23T01:30:36.6985000Z - 2022-11-23T01:30:36.6985123Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.6985175Z { 2022-11-23T01:30:36.6985312Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.6985530Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.6985650Z 'obj_weakref': None 2022-11-23T01:30:36.6985872Z 'guarded_class': 2022-11-23T01:30:36.6985939Z } 2022-11-23T01:30:36.6986003Z 2022-11-23T01:30:36.6986252Z [2022-11-23 01:30:14,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 500 2022-11-23T01:30:36.6986629Z [2022-11-23 01:30:16,335] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pz/cpz7bzkublrcwktvgfzsqab57dyr7uaaawlb7mgv4scpfelffcd3.py 2022-11-23T01:30:36.6986894Z [2022-11-23 01:30:16,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 500 2022-11-23T01:30:36.6986902Z 2022-11-23T01:30:36.6987000Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.6987070Z import torch 2022-11-23T01:30:36.6987142Z import random 2022-11-23T01:30:36.6987259Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.6987383Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.6987388Z 2022-11-23T01:30:36.6987455Z aten = torch.ops.aten 2022-11-23T01:30:36.6987589Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.6987682Z async_compile = AsyncCompile() 2022-11-23T01:30:36.6987687Z 2022-11-23T01:30:36.6987693Z 2022-11-23T01:30:36.6987827Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.6988033Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.6988151Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:30:36.6988258Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.6988358Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.6988408Z { 2022-11-23T01:30:36.6988506Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.6988569Z { 2022-11-23T01:30:36.6988647Z #pragma omp for 2022-11-23T01:30:36.6988732Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.6988797Z { 2022-11-23T01:30:36.6988879Z #pragma GCC ivdep 2022-11-23T01:30:36.6988951Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.6989015Z { 2022-11-23T01:30:36.6989081Z { 2022-11-23T01:30:36.6989183Z { 2022-11-23T01:30:36.6989281Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.6989385Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.6989481Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.6989575Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.6989672Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.6989771Z } 2022-11-23T01:30:36.6989836Z } 2022-11-23T01:30:36.6989903Z } 2022-11-23T01:30:36.6989969Z } 2022-11-23T01:30:36.6990019Z } 2022-11-23T01:30:36.6990081Z } 2022-11-23T01:30:36.6990163Z ''') 2022-11-23T01:30:36.6990168Z 2022-11-23T01:30:36.6990172Z 2022-11-23T01:30:36.6990265Z async_compile.wait(globals()) 2022-11-23T01:30:36.6990337Z del async_compile 2022-11-23T01:30:36.6990342Z 2022-11-23T01:30:36.6990414Z def call(args): 2022-11-23T01:30:36.6990489Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.6990564Z args.clear() 2022-11-23T01:30:36.6990754Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6990921Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.6990990Z del arg0_1 2022-11-23T01:30:36.6991060Z del arg1_1 2022-11-23T01:30:36.6991136Z return (buf0, ) 2022-11-23T01:30:36.6991140Z 2022-11-23T01:30:36.6991147Z 2022-11-23T01:30:36.6991224Z if __name__ == "__main__": 2022-11-23T01:30:36.6991341Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.6991453Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.6991646Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.6991847Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.6991962Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.6991967Z 2022-11-23T01:30:36.6992036Z ok (1.444s) 2022-11-23T01:30:36.6992388Z test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.6992706Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.6992926Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.6993186Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.6993451Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.6993771Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6994122Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6994446Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.6994828Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.6994927Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.6995019Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.6995094Z 4 BINARY_ADD 2022-11-23T01:30:36.6995187Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.6995250Z 8 RETURN_VALUE 2022-11-23T01:30:36.6995312Z 2022-11-23T01:30:36.6995317Z 2022-11-23T01:30:36.6995660Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.6995872Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.6996110Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.6996382Z [2022-11-23 01:30:16,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.6996650Z [2022-11-23 01:30:16,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.6996893Z [2022-11-23 01:30:16,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6997280Z [2022-11-23 01:30:16,343] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.6997512Z [2022-11-23 01:30:16,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.6997746Z [2022-11-23 01:30:16,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.6997996Z [2022-11-23 01:30:16,344] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.6998246Z [2022-11-23 01:30:16,347] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.6998430Z [2022-11-23 01:30:16,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.6998567Z __compiled_fn_509 .3873 opcode, name, target, args, kwargs 2022-11-23T01:30:36.6998658Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.6998744Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.6998910Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.6999009Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.6999015Z 2022-11-23T01:30:36.6999340Z [2022-11-23 01:30:16,347] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.6999435Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.6999526Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.6999612Z 4 BUILD_MAP 0 2022-11-23T01:30:36.6999709Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.6999795Z 8 DICT_MERGE 1 2022-11-23T01:30:36.6999871Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.6999947Z 12 RETURN_VALUE 2022-11-23T01:30:36.6999953Z 2022-11-23T01:30:36.7000103Z 2022-11-23T01:30:36.7000431Z [2022-11-23 01:30:16,347] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7000545Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_509) 2022-11-23T01:30:36.7000637Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7000727Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7000805Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7000881Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7000970Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7001050Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7001140Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7001243Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7001347Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7001439Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7001501Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7001588Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7001664Z 26 RETURN_VALUE 2022-11-23T01:30:36.7001700Z 2022-11-23T01:30:36.7001764Z 2022-11-23T01:30:36.7001946Z [2022-11-23 01:30:16,348] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7002019Z - 2022-11-23T01:30:36.7002139Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7002190Z { 2022-11-23T01:30:36.7002332Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7002519Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7002682Z 'obj_weakref': None 2022-11-23T01:30:36.7002909Z 'guarded_class': 2022-11-23T01:30:36.7002975Z } 2022-11-23T01:30:36.7003042Z 2022-11-23T01:30:36.7003099Z - 2022-11-23T01:30:36.7003225Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7003291Z { 2022-11-23T01:30:36.7003435Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7003544Z 'code': None, 2022-11-23T01:30:36.7003759Z 'obj_weakref': 2022-11-23T01:30:36.7004011Z 'guarded_class': 2022-11-23T01:30:36.7004077Z } 2022-11-23T01:30:36.7004129Z 2022-11-23T01:30:36.7004199Z - 2022-11-23T01:30:36.7004323Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7004391Z { 2022-11-23T01:30:36.7004536Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7004643Z 'code': None, 2022-11-23T01:30:36.7004945Z 'obj_weakref': 2022-11-23T01:30:36.7005203Z 'guarded_class': 2022-11-23T01:30:36.7005268Z } 2022-11-23T01:30:36.7005334Z 2022-11-23T01:30:36.7005406Z - 2022-11-23T01:30:36.7005541Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7005607Z { 2022-11-23T01:30:36.7005727Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7005895Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7006016Z 'obj_weakref': None 2022-11-23T01:30:36.7006249Z 'guarded_class': 2022-11-23T01:30:36.7006318Z } 2022-11-23T01:30:36.7006383Z 2022-11-23T01:30:36.7006455Z - 2022-11-23T01:30:36.7006564Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7006626Z { 2022-11-23T01:30:36.7006766Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7006984Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7007104Z 'obj_weakref': None 2022-11-23T01:30:36.7007329Z 'guarded_class': 2022-11-23T01:30:36.7007393Z } 2022-11-23T01:30:36.7007443Z 2022-11-23T01:30:36.7007704Z [2022-11-23 01:30:16,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 501 2022-11-23T01:30:36.7008076Z [2022-11-23 01:30:17,789] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jw/cjwiccmaw2vzzqsj52u36mtcetmcmbhbofp2lzlhhsnugsvvfsa2.py 2022-11-23T01:30:36.7008352Z [2022-11-23 01:30:17,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 501 2022-11-23T01:30:36.7008357Z 2022-11-23T01:30:36.7008451Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7008523Z import torch 2022-11-23T01:30:36.7008596Z import random 2022-11-23T01:30:36.7008717Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7008823Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7008845Z 2022-11-23T01:30:36.7008960Z aten = torch.ops.aten 2022-11-23T01:30:36.7009096Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7009190Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7009195Z 2022-11-23T01:30:36.7009199Z 2022-11-23T01:30:36.7009335Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7009541Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7009700Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7009808Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7009911Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7009959Z { 2022-11-23T01:30:36.7010058Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7010120Z { 2022-11-23T01:30:36.7010200Z #pragma omp for 2022-11-23T01:30:36.7010285Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7010350Z { 2022-11-23T01:30:36.7010419Z #pragma GCC ivdep 2022-11-23T01:30:36.7010505Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7010571Z { 2022-11-23T01:30:36.7010637Z { 2022-11-23T01:30:36.7010705Z { 2022-11-23T01:30:36.7010811Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7010907Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.7010987Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7011087Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7011154Z } 2022-11-23T01:30:36.7011220Z } 2022-11-23T01:30:36.7011287Z } 2022-11-23T01:30:36.7011353Z } 2022-11-23T01:30:36.7011417Z } 2022-11-23T01:30:36.7011464Z } 2022-11-23T01:30:36.7011544Z ''') 2022-11-23T01:30:36.7011549Z 2022-11-23T01:30:36.7011553Z 2022-11-23T01:30:36.7011643Z async_compile.wait(globals()) 2022-11-23T01:30:36.7011717Z del async_compile 2022-11-23T01:30:36.7011724Z 2022-11-23T01:30:36.7011795Z def call(args): 2022-11-23T01:30:36.7011873Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7011944Z args.clear() 2022-11-23T01:30:36.7012130Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7012296Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7012365Z del arg0_1 2022-11-23T01:30:36.7012435Z del arg1_1 2022-11-23T01:30:36.7012510Z return (buf0, ) 2022-11-23T01:30:36.7012514Z 2022-11-23T01:30:36.7012518Z 2022-11-23T01:30:36.7012596Z if __name__ == "__main__": 2022-11-23T01:30:36.7012712Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7012837Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7013023Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7013220Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7013336Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7013341Z 2022-11-23T01:30:36.7013409Z ok (1.454s) 2022-11-23T01:30:36.7013756Z test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7014073Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7014293Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7014549Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7014827Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7015160Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7015507Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7015829Z [2022-11-23 01:30:17,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7016247Z [2022-11-23 01:30:17,795] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7016342Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7016433Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7016509Z 4 BINARY_ADD 2022-11-23T01:30:36.7016598Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7016678Z 8 RETURN_VALUE 2022-11-23T01:30:36.7016726Z 2022-11-23T01:30:36.7016731Z 2022-11-23T01:30:36.7017043Z [2022-11-23 01:30:17,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7017252Z [2022-11-23 01:30:17,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7017490Z [2022-11-23 01:30:17,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7017763Z [2022-11-23 01:30:17,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7018005Z [2022-11-23 01:30:17,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7018252Z [2022-11-23 01:30:17,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7018641Z [2022-11-23 01:30:17,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7018889Z [2022-11-23 01:30:17,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7019110Z [2022-11-23 01:30:17,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7019369Z [2022-11-23 01:30:17,797] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7019617Z [2022-11-23 01:30:17,800] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7019808Z [2022-11-23 01:30:17,801] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7019943Z __compiled_fn_510 .3879 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7020036Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7020128Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7020307Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7020390Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7020410Z 2022-11-23T01:30:36.7020722Z [2022-11-23 01:30:17,801] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7020817Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7020913Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7021002Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7021097Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7021183Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7021274Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7021337Z 12 RETURN_VALUE 2022-11-23T01:30:36.7021342Z 2022-11-23T01:30:36.7021404Z 2022-11-23T01:30:36.7021760Z [2022-11-23 01:30:17,801] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7021872Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_510) 2022-11-23T01:30:36.7021964Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7022056Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7022135Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7022255Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7022329Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7022404Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7022495Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7022598Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7022700Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7022789Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7022866Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7022941Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7023017Z 26 RETURN_VALUE 2022-11-23T01:30:36.7023022Z 2022-11-23T01:30:36.7023084Z 2022-11-23T01:30:36.7023265Z [2022-11-23 01:30:17,802] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7023339Z - 2022-11-23T01:30:36.7023458Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7023524Z { 2022-11-23T01:30:36.7023653Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7023839Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7023960Z 'obj_weakref': None 2022-11-23T01:30:36.7024185Z 'guarded_class': 2022-11-23T01:30:36.7024252Z } 2022-11-23T01:30:36.7024320Z 2022-11-23T01:30:36.7024392Z - 2022-11-23T01:30:36.7024502Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7024569Z { 2022-11-23T01:30:36.7024713Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7024821Z 'code': None, 2022-11-23T01:30:36.7025038Z 'obj_weakref': 2022-11-23T01:30:36.7025289Z 'guarded_class': 2022-11-23T01:30:36.7025357Z } 2022-11-23T01:30:36.7025408Z 2022-11-23T01:30:36.7025479Z - 2022-11-23T01:30:36.7025602Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7025669Z { 2022-11-23T01:30:36.7025812Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7025918Z 'code': None, 2022-11-23T01:30:36.7026128Z 'obj_weakref': 2022-11-23T01:30:36.7026369Z 'guarded_class': 2022-11-23T01:30:36.7026434Z } 2022-11-23T01:30:36.7026499Z 2022-11-23T01:30:36.7026570Z - 2022-11-23T01:30:36.7026701Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7026766Z { 2022-11-23T01:30:36.7026902Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7027056Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7027177Z 'obj_weakref': None 2022-11-23T01:30:36.7027408Z 'guarded_class': 2022-11-23T01:30:36.7027475Z } 2022-11-23T01:30:36.7027542Z 2022-11-23T01:30:36.7027616Z - 2022-11-23T01:30:36.7027738Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7027791Z { 2022-11-23T01:30:36.7027926Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7028169Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7028291Z 'obj_weakref': None 2022-11-23T01:30:36.7028514Z 'guarded_class': 2022-11-23T01:30:36.7028579Z } 2022-11-23T01:30:36.7028644Z 2022-11-23T01:30:36.7028894Z [2022-11-23 01:30:17,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 502 2022-11-23T01:30:36.7029292Z [2022-11-23 01:30:19,243] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebf66xogrz7jkp5wi5yvpbsuvv6u6sv7m2v7rs4xj63yexr43i2.py 2022-11-23T01:30:36.7029557Z [2022-11-23 01:30:19,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 502 2022-11-23T01:30:36.7029564Z 2022-11-23T01:30:36.7029661Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7029735Z import torch 2022-11-23T01:30:36.7029809Z import random 2022-11-23T01:30:36.7029929Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7030052Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7030057Z 2022-11-23T01:30:36.7030122Z aten = torch.ops.aten 2022-11-23T01:30:36.7030257Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7030351Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7030356Z 2022-11-23T01:30:36.7030360Z 2022-11-23T01:30:36.7030495Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7030704Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7030825Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7030930Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7031035Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7031083Z { 2022-11-23T01:30:36.7031182Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7031249Z { 2022-11-23T01:30:36.7031331Z #pragma omp for 2022-11-23T01:30:36.7031416Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7031482Z { 2022-11-23T01:30:36.7031565Z #pragma GCC ivdep 2022-11-23T01:30:36.7031637Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7031703Z { 2022-11-23T01:30:36.7031770Z { 2022-11-23T01:30:36.7031840Z { 2022-11-23T01:30:36.7031947Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7032047Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.7032144Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7032228Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7032296Z } 2022-11-23T01:30:36.7032363Z } 2022-11-23T01:30:36.7032428Z } 2022-11-23T01:30:36.7032493Z } 2022-11-23T01:30:36.7032559Z } 2022-11-23T01:30:36.7032606Z } 2022-11-23T01:30:36.7032685Z ''') 2022-11-23T01:30:36.7032689Z 2022-11-23T01:30:36.7032696Z 2022-11-23T01:30:36.7032789Z async_compile.wait(globals()) 2022-11-23T01:30:36.7032863Z del async_compile 2022-11-23T01:30:36.7032867Z 2022-11-23T01:30:36.7032941Z def call(args): 2022-11-23T01:30:36.7033017Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7033089Z args.clear() 2022-11-23T01:30:36.7033298Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7033451Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7033520Z del arg0_1 2022-11-23T01:30:36.7033586Z del arg1_1 2022-11-23T01:30:36.7033659Z return (buf0, ) 2022-11-23T01:30:36.7033663Z 2022-11-23T01:30:36.7033667Z 2022-11-23T01:30:36.7033744Z if __name__ == "__main__": 2022-11-23T01:30:36.7033860Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7033984Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7034216Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7034410Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7034526Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7034531Z 2022-11-23T01:30:36.7034599Z ok (1.455s) 2022-11-23T01:30:36.7034944Z test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7035291Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7035508Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7035761Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7036042Z [2022-11-23 01:30:19,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7036364Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7036698Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7037024Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7037407Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7037500Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7037597Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7037673Z 4 BINARY_ADD 2022-11-23T01:30:36.7037764Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7037842Z 8 RETURN_VALUE 2022-11-23T01:30:36.7037890Z 2022-11-23T01:30:36.7037908Z 2022-11-23T01:30:36.7038207Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7038420Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7038658Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7038930Z [2022-11-23 01:30:19,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7039174Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7039418Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7039803Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7040143Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7040389Z [2022-11-23 01:30:19,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7040629Z [2022-11-23 01:30:19,252] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7040878Z [2022-11-23 01:30:19,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7041066Z [2022-11-23 01:30:19,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7041240Z __compiled_fn_511 .3885 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7041333Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7041423Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7041603Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7041700Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7041706Z 2022-11-23T01:30:36.7042018Z [2022-11-23 01:30:19,256] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7042144Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7042236Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7042325Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7042417Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7042504Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7042595Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7042677Z 12 RETURN_VALUE 2022-11-23T01:30:36.7042682Z 2022-11-23T01:30:36.7042730Z 2022-11-23T01:30:36.7043054Z [2022-11-23 01:30:19,256] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7043164Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_511) 2022-11-23T01:30:36.7043255Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7043350Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7043428Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7043517Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7043594Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7043671Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7043759Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7043915Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7044021Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7044111Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7044188Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7044276Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7044338Z 26 RETURN_VALUE 2022-11-23T01:30:36.7044342Z 2022-11-23T01:30:36.7044405Z 2022-11-23T01:30:36.7044588Z [2022-11-23 01:30:19,257] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7044662Z - 2022-11-23T01:30:36.7044894Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7044960Z { 2022-11-23T01:30:36.7045105Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7045279Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7045401Z 'obj_weakref': None 2022-11-23T01:30:36.7045630Z 'guarded_class': 2022-11-23T01:30:36.7045696Z } 2022-11-23T01:30:36.7045763Z 2022-11-23T01:30:36.7045832Z - 2022-11-23T01:30:36.7045960Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7046011Z { 2022-11-23T01:30:36.7046154Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7046265Z 'code': None, 2022-11-23T01:30:36.7046478Z 'obj_weakref': 2022-11-23T01:30:36.7046732Z 'guarded_class': 2022-11-23T01:30:36.7046798Z } 2022-11-23T01:30:36.7046865Z 2022-11-23T01:30:36.7046921Z - 2022-11-23T01:30:36.7047044Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7047114Z { 2022-11-23T01:30:36.7047256Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7047359Z 'code': None, 2022-11-23T01:30:36.7047624Z 'obj_weakref': 2022-11-23T01:30:36.7047878Z 'guarded_class': 2022-11-23T01:30:36.7047941Z } 2022-11-23T01:30:36.7048003Z 2022-11-23T01:30:36.7048058Z - 2022-11-23T01:30:36.7048188Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7048252Z { 2022-11-23T01:30:36.7048386Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7048604Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7048722Z 'obj_weakref': None 2022-11-23T01:30:36.7048954Z 'guarded_class': 2022-11-23T01:30:36.7049005Z } 2022-11-23T01:30:36.7049067Z 2022-11-23T01:30:36.7049137Z - 2022-11-23T01:30:36.7049258Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7049321Z { 2022-11-23T01:30:36.7049456Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7049671Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7049775Z 'obj_weakref': None 2022-11-23T01:30:36.7049997Z 'guarded_class': 2022-11-23T01:30:36.7050060Z } 2022-11-23T01:30:36.7050125Z 2022-11-23T01:30:36.7050385Z [2022-11-23 01:30:19,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 503 2022-11-23T01:30:36.7050751Z [2022-11-23 01:30:20,675] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4k/c4k3iifdl27u2uvh56jpszqgbwouun6brgonvog2wrph3bsxkakf.py 2022-11-23T01:30:36.7051015Z [2022-11-23 01:30:20,675] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 503 2022-11-23T01:30:36.7051020Z 2022-11-23T01:30:36.7051112Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7051170Z import torch 2022-11-23T01:30:36.7051238Z import random 2022-11-23T01:30:36.7051353Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7051473Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7051478Z 2022-11-23T01:30:36.7051555Z aten = torch.ops.aten 2022-11-23T01:30:36.7051688Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7051781Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7051785Z 2022-11-23T01:30:36.7051790Z 2022-11-23T01:30:36.7051922Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7052113Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7052231Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7052335Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7052435Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7052496Z { 2022-11-23T01:30:36.7052594Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7052656Z { 2022-11-23T01:30:36.7052719Z #pragma omp for 2022-11-23T01:30:36.7052800Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7052861Z { 2022-11-23T01:30:36.7052942Z #pragma GCC ivdep 2022-11-23T01:30:36.7053027Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7053089Z { 2022-11-23T01:30:36.7053143Z { 2022-11-23T01:30:36.7053208Z { 2022-11-23T01:30:36.7053312Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7053403Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.7053497Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7053593Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7053659Z } 2022-11-23T01:30:36.7053710Z } 2022-11-23T01:30:36.7053772Z } 2022-11-23T01:30:36.7053866Z } 2022-11-23T01:30:36.7053928Z } 2022-11-23T01:30:36.7053987Z } 2022-11-23T01:30:36.7054064Z ''') 2022-11-23T01:30:36.7054069Z 2022-11-23T01:30:36.7054073Z 2022-11-23T01:30:36.7054161Z async_compile.wait(globals()) 2022-11-23T01:30:36.7054221Z del async_compile 2022-11-23T01:30:36.7054237Z 2022-11-23T01:30:36.7054294Z def call(args): 2022-11-23T01:30:36.7054368Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7054439Z args.clear() 2022-11-23T01:30:36.7054698Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7054859Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7054926Z del arg0_1 2022-11-23T01:30:36.7054990Z del arg1_1 2022-11-23T01:30:36.7055048Z return (buf0, ) 2022-11-23T01:30:36.7055053Z 2022-11-23T01:30:36.7055057Z 2022-11-23T01:30:36.7055130Z if __name__ == "__main__": 2022-11-23T01:30:36.7055246Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7055368Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7055567Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7055758Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7055872Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7055876Z 2022-11-23T01:30:36.7055945Z ok (1.431s) 2022-11-23T01:30:36.7056271Z test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:20,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7056588Z [2022-11-23 01:30:20,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7056805Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7057060Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7057337Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7057659Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7058005Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7058329Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7058707Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7058802Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7058881Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7058955Z 4 BINARY_ADD 2022-11-23T01:30:36.7059044Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7059120Z 8 RETURN_VALUE 2022-11-23T01:30:36.7059181Z 2022-11-23T01:30:36.7059186Z 2022-11-23T01:30:36.7059499Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7059711Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7059948Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7060207Z [2022-11-23 01:30:20,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7060475Z [2022-11-23 01:30:20,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7060719Z [2022-11-23 01:30:20,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7061105Z [2022-11-23 01:30:20,682] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7061380Z [2022-11-23 01:30:20,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7061614Z [2022-11-23 01:30:20,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7061865Z [2022-11-23 01:30:20,683] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7062113Z [2022-11-23 01:30:20,686] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7062303Z [2022-11-23 01:30:20,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7062424Z __compiled_fn_512 .3891 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7062514Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7062601Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7062779Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7062877Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7062884Z 2022-11-23T01:30:36.7063206Z [2022-11-23 01:30:20,687] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7063299Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7063389Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7063463Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7063556Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7063644Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7063732Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7063810Z 12 RETURN_VALUE 2022-11-23T01:30:36.7063814Z 2022-11-23T01:30:36.7063877Z 2022-11-23T01:30:36.7064198Z [2022-11-23 01:30:20,687] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7064305Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_512) 2022-11-23T01:30:36.7064385Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7064475Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7064552Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7064642Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7064729Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7064804Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7064891Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7064983Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7065084Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7065171Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7065246Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7065334Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7065409Z 26 RETURN_VALUE 2022-11-23T01:30:36.7065416Z 2022-11-23T01:30:36.7065476Z 2022-11-23T01:30:36.7065643Z [2022-11-23 01:30:20,688] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7065713Z - 2022-11-23T01:30:36.7065833Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7065897Z { 2022-11-23T01:30:36.7066036Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7066223Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7066341Z 'obj_weakref': None 2022-11-23T01:30:36.7066581Z 'guarded_class': 2022-11-23T01:30:36.7066649Z } 2022-11-23T01:30:36.7066712Z 2022-11-23T01:30:36.7066783Z - 2022-11-23T01:30:36.7066906Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7066971Z { 2022-11-23T01:30:36.7067111Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7067205Z 'code': None, 2022-11-23T01:30:36.7067443Z 'obj_weakref': 2022-11-23T01:30:36.7067696Z 'guarded_class': 2022-11-23T01:30:36.7067763Z } 2022-11-23T01:30:36.7067826Z 2022-11-23T01:30:36.7067894Z - 2022-11-23T01:30:36.7068016Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7068066Z { 2022-11-23T01:30:36.7068208Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7068316Z 'code': None, 2022-11-23T01:30:36.7068525Z 'obj_weakref': 2022-11-23T01:30:36.7068776Z 'guarded_class': 2022-11-23T01:30:36.7068840Z } 2022-11-23T01:30:36.7068905Z 2022-11-23T01:30:36.7068960Z - 2022-11-23T01:30:36.7069092Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7069154Z { 2022-11-23T01:30:36.7069288Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7069456Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7069575Z 'obj_weakref': None 2022-11-23T01:30:36.7069804Z 'guarded_class': 2022-11-23T01:30:36.7069857Z } 2022-11-23T01:30:36.7069922Z 2022-11-23T01:30:36.7069990Z - 2022-11-23T01:30:36.7070112Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7070175Z { 2022-11-23T01:30:36.7070309Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7070525Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7070629Z 'obj_weakref': None 2022-11-23T01:30:36.7070848Z 'guarded_class': 2022-11-23T01:30:36.7070913Z } 2022-11-23T01:30:36.7070974Z 2022-11-23T01:30:36.7071235Z [2022-11-23 01:30:20,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 504 2022-11-23T01:30:36.7071602Z [2022-11-23 01:30:22,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ql/cqlybksfph3rk6yogihakomgg6xcdqcdoy3xl75e7jq4s4jtsfks.py 2022-11-23T01:30:36.7071866Z [2022-11-23 01:30:22,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 504 2022-11-23T01:30:36.7071871Z 2022-11-23T01:30:36.7071964Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7072022Z import torch 2022-11-23T01:30:36.7072090Z import random 2022-11-23T01:30:36.7072203Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7072322Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7072327Z 2022-11-23T01:30:36.7072404Z aten = torch.ops.aten 2022-11-23T01:30:36.7072540Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7072631Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7072636Z 2022-11-23T01:30:36.7072640Z 2022-11-23T01:30:36.7072772Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7072964Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7073082Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7073213Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7073316Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7073377Z { 2022-11-23T01:30:36.7073473Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7073534Z { 2022-11-23T01:30:36.7073597Z #pragma omp for 2022-11-23T01:30:36.7073677Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7073738Z { 2022-11-23T01:30:36.7073819Z #pragma GCC ivdep 2022-11-23T01:30:36.7073934Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7073996Z { 2022-11-23T01:30:36.7074061Z { 2022-11-23T01:30:36.7074114Z { 2022-11-23T01:30:36.7074219Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7074320Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.7074415Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7074510Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7074578Z } 2022-11-23T01:30:36.7074643Z } 2022-11-23T01:30:36.7074693Z } 2022-11-23T01:30:36.7074756Z } 2022-11-23T01:30:36.7074816Z } 2022-11-23T01:30:36.7074874Z } 2022-11-23T01:30:36.7074952Z ''') 2022-11-23T01:30:36.7074956Z 2022-11-23T01:30:36.7074961Z 2022-11-23T01:30:36.7075049Z async_compile.wait(globals()) 2022-11-23T01:30:36.7075120Z del async_compile 2022-11-23T01:30:36.7075127Z 2022-11-23T01:30:36.7075184Z def call(args): 2022-11-23T01:30:36.7075259Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7075328Z args.clear() 2022-11-23T01:30:36.7075527Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7075693Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7075761Z del arg0_1 2022-11-23T01:30:36.7075826Z del arg1_1 2022-11-23T01:30:36.7075885Z return (buf0, ) 2022-11-23T01:30:36.7075901Z 2022-11-23T01:30:36.7075908Z 2022-11-23T01:30:36.7075971Z if __name__ == "__main__": 2022-11-23T01:30:36.7076082Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7076204Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7076403Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7076597Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7076714Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7076718Z 2022-11-23T01:30:36.7076783Z ok (1.461s) 2022-11-23T01:30:36.7077121Z test_cpu_strided_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:22,141] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7077422Z [2022-11-23 01:30:22,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7077643Z [2022-11-23 01:30:22,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7077896Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7078174Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7078493Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7078840Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7079163Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7079574Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7079668Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7079756Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7079817Z 4 BINARY_ADD 2022-11-23T01:30:36.7079904Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7080075Z 8 RETURN_VALUE 2022-11-23T01:30:36.7080172Z 2022-11-23T01:30:36.7080178Z 2022-11-23T01:30:36.7080496Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7080705Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7080940Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7081212Z [2022-11-23 01:30:22,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7081440Z [2022-11-23 01:30:22,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7081684Z [2022-11-23 01:30:22,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7082068Z [2022-11-23 01:30:22,143] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7082314Z [2022-11-23 01:30:22,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7082545Z [2022-11-23 01:30:22,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7082797Z [2022-11-23 01:30:22,144] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7083048Z [2022-11-23 01:30:22,147] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7083235Z [2022-11-23 01:30:22,148] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7083371Z __compiled_fn_513 .3897 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7083447Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7083533Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7083714Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7083806Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7083812Z 2022-11-23T01:30:36.7084133Z [2022-11-23 01:30:22,148] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7084225Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7084313Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7084401Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7084480Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7084565Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7084653Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7084730Z 12 RETURN_VALUE 2022-11-23T01:30:36.7084877Z 2022-11-23T01:30:36.7084963Z 2022-11-23T01:30:36.7085321Z [2022-11-23 01:30:22,148] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7085432Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_513) 2022-11-23T01:30:36.7085520Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7085597Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7085673Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7085760Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7085846Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7085979Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7086069Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7086172Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7086261Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7086349Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7086427Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7086549Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7086625Z 26 RETURN_VALUE 2022-11-23T01:30:36.7086630Z 2022-11-23T01:30:36.7086690Z 2022-11-23T01:30:36.7086871Z [2022-11-23 01:30:22,149] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7086928Z - 2022-11-23T01:30:36.7087049Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7087113Z { 2022-11-23T01:30:36.7087253Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7087442Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7087561Z 'obj_weakref': None 2022-11-23T01:30:36.7087784Z 'guarded_class': 2022-11-23T01:30:36.7087836Z } 2022-11-23T01:30:36.7087899Z 2022-11-23T01:30:36.7087968Z - 2022-11-23T01:30:36.7088129Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7088191Z { 2022-11-23T01:30:36.7088334Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7088438Z 'code': None, 2022-11-23T01:30:36.7088639Z 'obj_weakref': 2022-11-23T01:30:36.7088891Z 'guarded_class': 2022-11-23T01:30:36.7088954Z } 2022-11-23T01:30:36.7089015Z 2022-11-23T01:30:36.7089083Z - 2022-11-23T01:30:36.7089206Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7089267Z { 2022-11-23T01:30:36.7089395Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7089500Z 'code': None, 2022-11-23T01:30:36.7089710Z 'obj_weakref': 2022-11-23T01:30:36.7089960Z 'guarded_class': 2022-11-23T01:30:36.7090026Z } 2022-11-23T01:30:36.7090110Z 2022-11-23T01:30:36.7090177Z - 2022-11-23T01:30:36.7090295Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7090357Z { 2022-11-23T01:30:36.7090489Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7090655Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7090771Z 'obj_weakref': None 2022-11-23T01:30:36.7091001Z 'guarded_class': 2022-11-23T01:30:36.7091064Z } 2022-11-23T01:30:36.7091114Z 2022-11-23T01:30:36.7091184Z - 2022-11-23T01:30:36.7091304Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7091366Z { 2022-11-23T01:30:36.7091498Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7091710Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7091829Z 'obj_weakref': None 2022-11-23T01:30:36.7092035Z 'guarded_class': 2022-11-23T01:30:36.7092099Z } 2022-11-23T01:30:36.7092161Z 2022-11-23T01:30:36.7092420Z [2022-11-23 01:30:22,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 505 2022-11-23T01:30:36.7092826Z [2022-11-23 01:30:23,581] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/cske5sec2iwgtc2czlyjenjo5zu47juvowrrpirqnj5ozbo2taue.py 2022-11-23T01:30:36.7093092Z [2022-11-23 01:30:23,581] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 505 2022-11-23T01:30:36.7093097Z 2022-11-23T01:30:36.7093190Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7093257Z import torch 2022-11-23T01:30:36.7093314Z import random 2022-11-23T01:30:36.7093428Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7093591Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7093596Z 2022-11-23T01:30:36.7093672Z aten = torch.ops.aten 2022-11-23T01:30:36.7093804Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7093894Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7093899Z 2022-11-23T01:30:36.7093903Z 2022-11-23T01:30:36.7094035Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7094240Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7094346Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7094453Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.7094551Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.7094610Z { 2022-11-23T01:30:36.7094708Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7094769Z { 2022-11-23T01:30:36.7094846Z #pragma omp for 2022-11-23T01:30:36.7094920Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7094982Z { 2022-11-23T01:30:36.7095060Z #pragma GCC ivdep 2022-11-23T01:30:36.7095145Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7095209Z { 2022-11-23T01:30:36.7095272Z { 2022-11-23T01:30:36.7095337Z { 2022-11-23T01:30:36.7095429Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7095530Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.7095644Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.7095735Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.7095829Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.7095894Z } 2022-11-23T01:30:36.7095958Z } 2022-11-23T01:30:36.7096008Z } 2022-11-23T01:30:36.7096070Z } 2022-11-23T01:30:36.7096131Z } 2022-11-23T01:30:36.7096192Z } 2022-11-23T01:30:36.7096268Z ''') 2022-11-23T01:30:36.7096273Z 2022-11-23T01:30:36.7096278Z 2022-11-23T01:30:36.7096366Z async_compile.wait(globals()) 2022-11-23T01:30:36.7096436Z del async_compile 2022-11-23T01:30:36.7096440Z 2022-11-23T01:30:36.7096496Z def call(args): 2022-11-23T01:30:36.7096572Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7096642Z args.clear() 2022-11-23T01:30:36.7096840Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.7097003Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7097069Z del arg0_1 2022-11-23T01:30:36.7097135Z del arg1_1 2022-11-23T01:30:36.7097193Z return (buf0, ) 2022-11-23T01:30:36.7097198Z 2022-11-23T01:30:36.7097215Z 2022-11-23T01:30:36.7097277Z if __name__ == "__main__": 2022-11-23T01:30:36.7097390Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7097512Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7097717Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7097913Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.7098026Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7098030Z 2022-11-23T01:30:36.7098096Z ok (1.445s) 2022-11-23T01:30:36.7098440Z test_cpu_strided_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7098757Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7098976Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7099227Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7099532Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7099853Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7100200Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7100529Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7100909Z [2022-11-23 01:30:23,587] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7100999Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7101092Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7101153Z 4 BINARY_ADD 2022-11-23T01:30:36.7101240Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7101318Z 8 RETURN_VALUE 2022-11-23T01:30:36.7101382Z 2022-11-23T01:30:36.7101386Z 2022-11-23T01:30:36.7101698Z [2022-11-23 01:30:23,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7101908Z [2022-11-23 01:30:23,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7102145Z [2022-11-23 01:30:23,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7102415Z [2022-11-23 01:30:23,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7102642Z [2022-11-23 01:30:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7102891Z [2022-11-23 01:30:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7103273Z [2022-11-23 01:30:23,589] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7103523Z [2022-11-23 01:30:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7103765Z [2022-11-23 01:30:23,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7104018Z [2022-11-23 01:30:23,590] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7104263Z [2022-11-23 01:30:23,593] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7104451Z [2022-11-23 01:30:23,593] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7104588Z __compiled_fn_514 .3903 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7104666Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7104751Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7104931Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7105024Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7105029Z 2022-11-23T01:30:36.7105397Z [2022-11-23 01:30:23,594] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7105494Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7105585Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7105671Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7105751Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7105835Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7105952Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7106026Z 12 RETURN_VALUE 2022-11-23T01:30:36.7106031Z 2022-11-23T01:30:36.7106092Z 2022-11-23T01:30:36.7106418Z [2022-11-23 01:30:23,594] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7106526Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_514) 2022-11-23T01:30:36.7106603Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7106694Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7106770Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7106858Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7106946Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7107021Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7107110Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7107213Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7107303Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7107391Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7107466Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7107555Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7107631Z 26 RETURN_VALUE 2022-11-23T01:30:36.7107635Z 2022-11-23T01:30:36.7107696Z 2022-11-23T01:30:36.7107877Z [2022-11-23 01:30:23,594] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7107934Z - 2022-11-23T01:30:36.7108055Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7108119Z { 2022-11-23T01:30:36.7108263Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7108448Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7108566Z 'obj_weakref': None 2022-11-23T01:30:36.7108852Z 'guarded_class': 2022-11-23T01:30:36.7108933Z } 2022-11-23T01:30:36.7109005Z 2022-11-23T01:30:36.7109079Z - 2022-11-23T01:30:36.7109205Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7109268Z { 2022-11-23T01:30:36.7109410Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7109515Z 'code': None, 2022-11-23T01:30:36.7109714Z 'obj_weakref': 2022-11-23T01:30:36.7109967Z 'guarded_class': 2022-11-23T01:30:36.7110030Z } 2022-11-23T01:30:36.7110094Z 2022-11-23T01:30:36.7110162Z - 2022-11-23T01:30:36.7110284Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7110346Z { 2022-11-23T01:30:36.7110474Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7110578Z 'code': None, 2022-11-23T01:30:36.7110793Z 'obj_weakref': 2022-11-23T01:30:36.7111040Z 'guarded_class': 2022-11-23T01:30:36.7111103Z } 2022-11-23T01:30:36.7111165Z 2022-11-23T01:30:36.7111231Z - 2022-11-23T01:30:36.7111348Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7111410Z { 2022-11-23T01:30:36.7111543Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7111742Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7111861Z 'obj_weakref': None 2022-11-23T01:30:36.7112091Z 'guarded_class': 2022-11-23T01:30:36.7112154Z } 2022-11-23T01:30:36.7112204Z 2022-11-23T01:30:36.7112273Z - 2022-11-23T01:30:36.7112393Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7112484Z { 2022-11-23T01:30:36.7112621Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7112835Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7112951Z 'obj_weakref': None 2022-11-23T01:30:36.7113158Z 'guarded_class': 2022-11-23T01:30:36.7113222Z } 2022-11-23T01:30:36.7113284Z 2022-11-23T01:30:36.7113545Z [2022-11-23 01:30:23,599] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 506 2022-11-23T01:30:36.7113911Z [2022-11-23 01:30:25,032] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/culzenc2thdb2o4lo6uiiecgpgvw34ftj7bbcyjzk7i24melc5x5.py 2022-11-23T01:30:36.7114174Z [2022-11-23 01:30:25,032] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 506 2022-11-23T01:30:36.7114182Z 2022-11-23T01:30:36.7114275Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7114345Z import torch 2022-11-23T01:30:36.7114402Z import random 2022-11-23T01:30:36.7114517Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7114638Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7114643Z 2022-11-23T01:30:36.7114720Z aten = torch.ops.aten 2022-11-23T01:30:36.7114853Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7114944Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7114951Z 2022-11-23T01:30:36.7114956Z 2022-11-23T01:30:36.7115089Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7115290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7115399Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7115501Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.7115599Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7115663Z { 2022-11-23T01:30:36.7115760Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7115820Z { 2022-11-23T01:30:36.7115897Z #pragma omp for 2022-11-23T01:30:36.7115966Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7116028Z { 2022-11-23T01:30:36.7116106Z #pragma GCC ivdep 2022-11-23T01:30:36.7116191Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7116253Z { 2022-11-23T01:30:36.7116317Z { 2022-11-23T01:30:36.7116386Z { 2022-11-23T01:30:36.7116478Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7116573Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.7116684Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.7116775Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.7116869Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.7116936Z } 2022-11-23T01:30:36.7116999Z } 2022-11-23T01:30:36.7117049Z } 2022-11-23T01:30:36.7117109Z } 2022-11-23T01:30:36.7117173Z } 2022-11-23T01:30:36.7117232Z } 2022-11-23T01:30:36.7117309Z ''') 2022-11-23T01:30:36.7117313Z 2022-11-23T01:30:36.7117318Z 2022-11-23T01:30:36.7117405Z async_compile.wait(globals()) 2022-11-23T01:30:36.7117475Z del async_compile 2022-11-23T01:30:36.7117479Z 2022-11-23T01:30:36.7117537Z def call(args): 2022-11-23T01:30:36.7117611Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7117713Z args.clear() 2022-11-23T01:30:36.7117916Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7118076Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7118143Z del arg0_1 2022-11-23T01:30:36.7118209Z del arg1_1 2022-11-23T01:30:36.7118268Z return (buf0, ) 2022-11-23T01:30:36.7118303Z 2022-11-23T01:30:36.7118306Z 2022-11-23T01:30:36.7118384Z if __name__ == "__main__": 2022-11-23T01:30:36.7118496Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7118626Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7118917Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7119151Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.7119266Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7119271Z 2022-11-23T01:30:36.7119344Z ok (1.451s) 2022-11-23T01:30:36.7119724Z test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:25,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7120131Z [2022-11-23 01:30:25,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7120358Z [2022-11-23 01:30:25,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7120612Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7120890Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7121209Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7121555Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7121874Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7122257Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7122352Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7122429Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7122503Z 4 BINARY_ADD 2022-11-23T01:30:36.7122591Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7122667Z 8 RETURN_VALUE 2022-11-23T01:30:36.7122727Z 2022-11-23T01:30:36.7122732Z 2022-11-23T01:30:36.7123048Z [2022-11-23 01:30:25,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7123257Z [2022-11-23 01:30:25,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7123490Z [2022-11-23 01:30:25,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7123749Z [2022-11-23 01:30:25,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7123992Z [2022-11-23 01:30:25,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7124234Z [2022-11-23 01:30:25,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7124661Z [2022-11-23 01:30:25,043] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7125022Z [2022-11-23 01:30:25,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7125257Z [2022-11-23 01:30:25,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7125508Z [2022-11-23 01:30:25,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7125812Z [2022-11-23 01:30:25,050] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7126000Z [2022-11-23 01:30:25,050] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7126133Z __compiled_fn_515 .3909 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7126209Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7126295Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7126473Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7126572Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7126577Z 2022-11-23T01:30:36.7126902Z [2022-11-23 01:30:25,051] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7126995Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7127086Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7127162Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7127253Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7127337Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7127426Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7127503Z 12 RETURN_VALUE 2022-11-23T01:30:36.7127508Z 2022-11-23T01:30:36.7127567Z 2022-11-23T01:30:36.7127887Z [2022-11-23 01:30:25,051] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7127996Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_515) 2022-11-23T01:30:36.7128072Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7128163Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7128237Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7128325Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7128411Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7128487Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7128574Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7128665Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7128766Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7128854Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7128929Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7129015Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7129092Z 26 RETURN_VALUE 2022-11-23T01:30:36.7129097Z 2022-11-23T01:30:36.7129157Z 2022-11-23T01:30:36.7129336Z [2022-11-23 01:30:25,052] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7129393Z - 2022-11-23T01:30:36.7129511Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7129574Z { 2022-11-23T01:30:36.7129714Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7129898Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7130018Z 'obj_weakref': None 2022-11-23T01:30:36.7130244Z 'guarded_class': 2022-11-23T01:30:36.7130296Z } 2022-11-23T01:30:36.7130358Z 2022-11-23T01:30:36.7130426Z - 2022-11-23T01:30:36.7130549Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7130611Z { 2022-11-23T01:30:36.7130752Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7130881Z 'code': None, 2022-11-23T01:30:36.7131092Z 'obj_weakref': 2022-11-23T01:30:36.7131343Z 'guarded_class': 2022-11-23T01:30:36.7131406Z } 2022-11-23T01:30:36.7131470Z 2022-11-23T01:30:36.7131538Z - 2022-11-23T01:30:36.7131659Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7131739Z { 2022-11-23T01:30:36.7131880Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7131984Z 'code': None, 2022-11-23T01:30:36.7132194Z 'obj_weakref': 2022-11-23T01:30:36.7132444Z 'guarded_class': 2022-11-23T01:30:36.7132508Z } 2022-11-23T01:30:36.7132573Z 2022-11-23T01:30:36.7132647Z - 2022-11-23T01:30:36.7132766Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7132830Z { 2022-11-23T01:30:36.7132962Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7133130Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7133247Z 'obj_weakref': None 2022-11-23T01:30:36.7133477Z 'guarded_class': 2022-11-23T01:30:36.7133545Z } 2022-11-23T01:30:36.7133597Z 2022-11-23T01:30:36.7133665Z - 2022-11-23T01:30:36.7133785Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7133847Z { 2022-11-23T01:30:36.7133983Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7134197Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7134314Z 'obj_weakref': None 2022-11-23T01:30:36.7134522Z 'guarded_class': 2022-11-23T01:30:36.7134587Z } 2022-11-23T01:30:36.7134650Z 2022-11-23T01:30:36.7134909Z [2022-11-23 01:30:25,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 507 2022-11-23T01:30:36.7135278Z [2022-11-23 01:30:26,514] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7vuplzfyuy7tubloqle2ntf24tfbjulihckzfgeqwo27qau5cb.py 2022-11-23T01:30:36.7135542Z [2022-11-23 01:30:26,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 507 2022-11-23T01:30:36.7135548Z 2022-11-23T01:30:36.7135640Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7135709Z import torch 2022-11-23T01:30:36.7135766Z import random 2022-11-23T01:30:36.7135879Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7135999Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7136004Z 2022-11-23T01:30:36.7136082Z aten = torch.ops.aten 2022-11-23T01:30:36.7136215Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7136306Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7136311Z 2022-11-23T01:30:36.7136315Z 2022-11-23T01:30:36.7136447Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7136651Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7136760Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7136863Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7136963Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7137022Z { 2022-11-23T01:30:36.7137119Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7137180Z { 2022-11-23T01:30:36.7137256Z #pragma omp for 2022-11-23T01:30:36.7137325Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7137387Z { 2022-11-23T01:30:36.7137502Z #pragma GCC ivdep 2022-11-23T01:30:36.7137592Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7137656Z { 2022-11-23T01:30:36.7137720Z { 2022-11-23T01:30:36.7137773Z { 2022-11-23T01:30:36.7137879Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7137982Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7138119Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7138216Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7138282Z } 2022-11-23T01:30:36.7138346Z } 2022-11-23T01:30:36.7138396Z } 2022-11-23T01:30:36.7138459Z } 2022-11-23T01:30:36.7138520Z } 2022-11-23T01:30:36.7138579Z } 2022-11-23T01:30:36.7138657Z ''') 2022-11-23T01:30:36.7138662Z 2022-11-23T01:30:36.7138666Z 2022-11-23T01:30:36.7138754Z async_compile.wait(globals()) 2022-11-23T01:30:36.7138829Z del async_compile 2022-11-23T01:30:36.7138834Z 2022-11-23T01:30:36.7138904Z def call(args): 2022-11-23T01:30:36.7138966Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7139034Z args.clear() 2022-11-23T01:30:36.7139238Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7139399Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7139469Z del arg0_1 2022-11-23T01:30:36.7139536Z del arg1_1 2022-11-23T01:30:36.7139607Z return (buf0, ) 2022-11-23T01:30:36.7139611Z 2022-11-23T01:30:36.7139615Z 2022-11-23T01:30:36.7139678Z if __name__ == "__main__": 2022-11-23T01:30:36.7139791Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7139912Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7140112Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7140311Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7140423Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7140427Z 2022-11-23T01:30:36.7140491Z ok (1.482s) 2022-11-23T01:30:36.7140835Z test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7141138Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7141358Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7141610Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7141887Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7142210Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7142554Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7142876Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7143259Z [2022-11-23 01:30:26,524] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7143351Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7143441Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7143502Z 4 BINARY_ADD 2022-11-23T01:30:36.7143623Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7143703Z 8 RETURN_VALUE 2022-11-23T01:30:36.7143765Z 2022-11-23T01:30:36.7143770Z 2022-11-23T01:30:36.7144082Z [2022-11-23 01:30:26,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7144289Z [2022-11-23 01:30:26,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7144554Z [2022-11-23 01:30:26,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7144826Z [2022-11-23 01:30:26,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7145054Z [2022-11-23 01:30:26,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7145297Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7145683Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7145928Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7146160Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7146417Z [2022-11-23 01:30:26,527] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7146663Z [2022-11-23 01:30:26,532] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7146852Z [2022-11-23 01:30:26,532] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7146984Z __compiled_fn_516 .3915 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7147059Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7147148Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7147324Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7147419Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7147425Z 2022-11-23T01:30:36.7147752Z [2022-11-23 01:30:26,533] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7147848Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7147937Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7148022Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7148102Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7148187Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7148274Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7148350Z 12 RETURN_VALUE 2022-11-23T01:30:36.7148355Z 2022-11-23T01:30:36.7148414Z 2022-11-23T01:30:36.7148740Z [2022-11-23 01:30:26,533] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7148848Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_516) 2022-11-23T01:30:36.7148937Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7149013Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7149089Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7149179Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7149267Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7149342Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7149427Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7149529Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7149616Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7149704Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7149806Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7149896Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7149970Z 26 RETURN_VALUE 2022-11-23T01:30:36.7149974Z 2022-11-23T01:30:36.7150033Z 2022-11-23T01:30:36.7150213Z [2022-11-23 01:30:26,534] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7150269Z - 2022-11-23T01:30:36.7150389Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7150482Z { 2022-11-23T01:30:36.7150620Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7150804Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7150922Z 'obj_weakref': None 2022-11-23T01:30:36.7151144Z 'guarded_class': 2022-11-23T01:30:36.7151196Z } 2022-11-23T01:30:36.7151259Z 2022-11-23T01:30:36.7151326Z - 2022-11-23T01:30:36.7151447Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7151512Z { 2022-11-23T01:30:36.7151654Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7151758Z 'code': None, 2022-11-23T01:30:36.7151958Z 'obj_weakref': 2022-11-23T01:30:36.7152210Z 'guarded_class': 2022-11-23T01:30:36.7152276Z } 2022-11-23T01:30:36.7152339Z 2022-11-23T01:30:36.7152407Z - 2022-11-23T01:30:36.7152528Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7152590Z { 2022-11-23T01:30:36.7152718Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7152823Z 'code': None, 2022-11-23T01:30:36.7153031Z 'obj_weakref': 2022-11-23T01:30:36.7153284Z 'guarded_class': 2022-11-23T01:30:36.7153347Z } 2022-11-23T01:30:36.7153410Z 2022-11-23T01:30:36.7153478Z - 2022-11-23T01:30:36.7153595Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7153657Z { 2022-11-23T01:30:36.7153789Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7153954Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7154075Z 'obj_weakref': None 2022-11-23T01:30:36.7154303Z 'guarded_class': 2022-11-23T01:30:36.7154366Z } 2022-11-23T01:30:36.7154416Z 2022-11-23T01:30:36.7154483Z - 2022-11-23T01:30:36.7154602Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7154665Z { 2022-11-23T01:30:36.7154799Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7155014Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7155131Z 'obj_weakref': None 2022-11-23T01:30:36.7155337Z 'guarded_class': 2022-11-23T01:30:36.7155400Z } 2022-11-23T01:30:36.7155462Z 2022-11-23T01:30:36.7155721Z [2022-11-23 01:30:26,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 508 2022-11-23T01:30:36.7156096Z [2022-11-23 01:30:27,959] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i7/ci7gwqixjh6lfzjwg6auhm3st3enkxfj4cmbw4sck67modifvgr6.py 2022-11-23T01:30:36.7156358Z [2022-11-23 01:30:27,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 508 2022-11-23T01:30:36.7156363Z 2022-11-23T01:30:36.7156455Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7156523Z import torch 2022-11-23T01:30:36.7156579Z import random 2022-11-23T01:30:36.7156747Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7156871Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7156877Z 2022-11-23T01:30:36.7156953Z aten = torch.ops.aten 2022-11-23T01:30:36.7157086Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7157176Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7157181Z 2022-11-23T01:30:36.7157185Z 2022-11-23T01:30:36.7157347Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7157548Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7157654Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7157756Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7157854Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7157914Z { 2022-11-23T01:30:36.7158009Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7158070Z { 2022-11-23T01:30:36.7158149Z #pragma omp for 2022-11-23T01:30:36.7158217Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7158280Z { 2022-11-23T01:30:36.7158358Z #pragma GCC ivdep 2022-11-23T01:30:36.7158443Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7158507Z { 2022-11-23T01:30:36.7158571Z { 2022-11-23T01:30:36.7158636Z { 2022-11-23T01:30:36.7158728Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7158833Z auto tmp1 = in_ptr1[i0 + (10*i1)]; 2022-11-23T01:30:36.7158924Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7159018Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7159085Z } 2022-11-23T01:30:36.7159148Z } 2022-11-23T01:30:36.7159210Z } 2022-11-23T01:30:36.7159261Z } 2022-11-23T01:30:36.7159321Z } 2022-11-23T01:30:36.7159380Z } 2022-11-23T01:30:36.7159458Z ''') 2022-11-23T01:30:36.7159465Z 2022-11-23T01:30:36.7159469Z 2022-11-23T01:30:36.7159557Z async_compile.wait(globals()) 2022-11-23T01:30:36.7159627Z del async_compile 2022-11-23T01:30:36.7159632Z 2022-11-23T01:30:36.7159701Z def call(args): 2022-11-23T01:30:36.7159763Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7159834Z args.clear() 2022-11-23T01:30:36.7160112Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7160281Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7160350Z del arg0_1 2022-11-23T01:30:36.7160414Z del arg1_1 2022-11-23T01:30:36.7160485Z return (buf0, ) 2022-11-23T01:30:36.7160490Z 2022-11-23T01:30:36.7160494Z 2022-11-23T01:30:36.7160570Z if __name__ == "__main__": 2022-11-23T01:30:36.7160672Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7160794Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7160996Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7161192Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7161306Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7161311Z 2022-11-23T01:30:36.7161377Z ok (1.444s) 2022-11-23T01:30:36.7161730Z test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7162049Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7162253Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7162506Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7162819Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7163139Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7163483Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7163837Z [2022-11-23 01:30:27,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7164214Z [2022-11-23 01:30:27,966] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7164306Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7164399Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7164471Z 4 BINARY_ADD 2022-11-23T01:30:36.7164548Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7164623Z 8 RETURN_VALUE 2022-11-23T01:30:36.7164683Z 2022-11-23T01:30:36.7164688Z 2022-11-23T01:30:36.7165111Z [2022-11-23 01:30:27,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7165322Z [2022-11-23 01:30:27,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7165559Z [2022-11-23 01:30:27,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7165831Z [2022-11-23 01:30:27,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7166070Z [2022-11-23 01:30:27,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7166305Z [2022-11-23 01:30:27,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7166689Z [2022-11-23 01:30:27,967] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7166932Z [2022-11-23 01:30:27,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7167169Z [2022-11-23 01:30:27,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7167422Z [2022-11-23 01:30:27,968] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7167671Z [2022-11-23 01:30:27,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7167857Z [2022-11-23 01:30:27,971] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7167992Z __compiled_fn_517 .3921 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7168081Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7168154Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7168333Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7168426Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7168432Z 2022-11-23T01:30:36.7168755Z [2022-11-23 01:30:27,972] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7168851Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7168940Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7169025Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7169117Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7169188Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7169275Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7169397Z 12 RETURN_VALUE 2022-11-23T01:30:36.7169403Z 2022-11-23T01:30:36.7169465Z 2022-11-23T01:30:36.7169787Z [2022-11-23 01:30:27,972] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7169896Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_517) 2022-11-23T01:30:36.7169984Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7170108Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7170172Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7170260Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7170348Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7170422Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7170509Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7170613Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7170715Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7170791Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7170865Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7170952Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7171026Z 26 RETURN_VALUE 2022-11-23T01:30:36.7171031Z 2022-11-23T01:30:36.7171091Z 2022-11-23T01:30:36.7171274Z [2022-11-23 01:30:27,973] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7171345Z - 2022-11-23T01:30:36.7171450Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7171514Z { 2022-11-23T01:30:36.7171653Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7171841Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7171959Z 'obj_weakref': None 2022-11-23T01:30:36.7172181Z 'guarded_class': 2022-11-23T01:30:36.7172248Z } 2022-11-23T01:30:36.7172299Z 2022-11-23T01:30:36.7172367Z - 2022-11-23T01:30:36.7172491Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7172554Z { 2022-11-23T01:30:36.7172694Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7172799Z 'code': None, 2022-11-23T01:30:36.7173012Z 'obj_weakref': 2022-11-23T01:30:36.7173253Z 'guarded_class': 2022-11-23T01:30:36.7173316Z } 2022-11-23T01:30:36.7173378Z 2022-11-23T01:30:36.7173446Z - 2022-11-23T01:30:36.7173567Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7173629Z { 2022-11-23T01:30:36.7173768Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7173860Z 'code': None, 2022-11-23T01:30:36.7174071Z 'obj_weakref': 2022-11-23T01:30:36.7174322Z 'guarded_class': 2022-11-23T01:30:36.7174385Z } 2022-11-23T01:30:36.7174448Z 2022-11-23T01:30:36.7174516Z - 2022-11-23T01:30:36.7174646Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7174697Z { 2022-11-23T01:30:36.7174832Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7174998Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7175117Z 'obj_weakref': None 2022-11-23T01:30:36.7175345Z 'guarded_class': 2022-11-23T01:30:36.7175408Z } 2022-11-23T01:30:36.7175470Z 2022-11-23T01:30:36.7175525Z - 2022-11-23T01:30:36.7175645Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7175736Z { 2022-11-23T01:30:36.7175872Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7176087Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7176203Z 'obj_weakref': None 2022-11-23T01:30:36.7176423Z 'guarded_class': 2022-11-23T01:30:36.7176475Z } 2022-11-23T01:30:36.7176566Z 2022-11-23T01:30:36.7176826Z [2022-11-23 01:30:27,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 509 2022-11-23T01:30:36.7177197Z [2022-11-23 01:30:27,987] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tc/ctccg2ryjvmxb4z26yzfc2fme76phrvhvwwixornapfooasn5s3y.py 2022-11-23T01:30:36.7177463Z [2022-11-23 01:30:27,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 509 2022-11-23T01:30:36.7177468Z 2022-11-23T01:30:36.7177566Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7177635Z import torch 2022-11-23T01:30:36.7177705Z import random 2022-11-23T01:30:36.7177806Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7177928Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7177932Z 2022-11-23T01:30:36.7178010Z aten = torch.ops.aten 2022-11-23T01:30:36.7178145Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7178241Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7178247Z 2022-11-23T01:30:36.7178251Z 2022-11-23T01:30:36.7178382Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7178586Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7178704Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7178795Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7178895Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7178957Z { 2022-11-23T01:30:36.7179053Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7179115Z { 2022-11-23T01:30:36.7179192Z #pragma omp for 2022-11-23T01:30:36.7179274Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7179323Z { 2022-11-23T01:30:36.7179406Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.7179468Z { 2022-11-23T01:30:36.7179631Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.7179760Z auto tmp1 = at::vec::Vectorized(in_ptr1[i0]); 2022-11-23T01:30:36.7179847Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7179950Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.7180001Z } 2022-11-23T01:30:36.7180092Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.7180175Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.7180242Z { 2022-11-23T01:30:36.7180340Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.7180424Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.7180508Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7180586Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7180651Z } 2022-11-23T01:30:36.7180713Z } 2022-11-23T01:30:36.7180775Z } 2022-11-23T01:30:36.7180834Z } 2022-11-23T01:30:36.7180914Z ''') 2022-11-23T01:30:36.7180919Z 2022-11-23T01:30:36.7180923Z 2022-11-23T01:30:36.7181012Z async_compile.wait(globals()) 2022-11-23T01:30:36.7181071Z del async_compile 2022-11-23T01:30:36.7181089Z 2022-11-23T01:30:36.7181146Z def call(args): 2022-11-23T01:30:36.7181220Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7181292Z args.clear() 2022-11-23T01:30:36.7181493Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7181683Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7181754Z del arg0_1 2022-11-23T01:30:36.7181820Z del arg1_1 2022-11-23T01:30:36.7181879Z return (buf0, ) 2022-11-23T01:30:36.7181884Z 2022-11-23T01:30:36.7181888Z 2022-11-23T01:30:36.7181963Z if __name__ == "__main__": 2022-11-23T01:30:36.7182076Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7182199Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7182434Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7182626Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7182742Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7182747Z 2022-11-23T01:30:36.7182812Z ok (0.028s) 2022-11-23T01:30:36.7183149Z test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7183470Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7183687Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7183943Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7184223Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7184547Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7184890Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7185217Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7185595Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7185686Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7185764Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7185841Z 4 BINARY_ADD 2022-11-23T01:30:36.7185929Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7186006Z 8 RETURN_VALUE 2022-11-23T01:30:36.7186067Z 2022-11-23T01:30:36.7186071Z 2022-11-23T01:30:36.7186383Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7186591Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7186829Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7187085Z [2022-11-23 01:30:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7187325Z [2022-11-23 01:30:27,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7187572Z [2022-11-23 01:30:27,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7187955Z [2022-11-23 01:30:27,994] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7188198Z [2022-11-23 01:30:27,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7188467Z [2022-11-23 01:30:27,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7188722Z [2022-11-23 01:30:27,995] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7188976Z [2022-11-23 01:30:27,998] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7189162Z [2022-11-23 01:30:27,999] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7189314Z __compiled_fn_518 .3927 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7189404Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7189490Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7189667Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7189761Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7189767Z 2022-11-23T01:30:36.7190090Z [2022-11-23 01:30:27,999] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7190184Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7190274Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7190348Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7190439Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7190522Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7190610Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7190689Z 12 RETURN_VALUE 2022-11-23T01:30:36.7190694Z 2022-11-23T01:30:36.7190753Z 2022-11-23T01:30:36.7191078Z [2022-11-23 01:30:27,999] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7191185Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_518) 2022-11-23T01:30:36.7191260Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7191348Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7191425Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7191511Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7191596Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7191670Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7191756Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7191846Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7191945Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7192034Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7192110Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7192195Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7192268Z 26 RETURN_VALUE 2022-11-23T01:30:36.7192273Z 2022-11-23T01:30:36.7192333Z 2022-11-23T01:30:36.7192501Z [2022-11-23 01:30:28,000] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7192570Z - 2022-11-23T01:30:36.7192687Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7192755Z { 2022-11-23T01:30:36.7192894Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7193079Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7193196Z 'obj_weakref': None 2022-11-23T01:30:36.7193405Z 'guarded_class': 2022-11-23T01:30:36.7193473Z } 2022-11-23T01:30:36.7193535Z 2022-11-23T01:30:36.7193604Z - 2022-11-23T01:30:36.7193727Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7193788Z { 2022-11-23T01:30:36.7193928Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7194021Z 'code': None, 2022-11-23T01:30:36.7194230Z 'obj_weakref': 2022-11-23T01:30:36.7194511Z 'guarded_class': 2022-11-23T01:30:36.7194576Z } 2022-11-23T01:30:36.7194638Z 2022-11-23T01:30:36.7194706Z - 2022-11-23T01:30:36.7194828Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7194878Z { 2022-11-23T01:30:36.7195018Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7195123Z 'code': None, 2022-11-23T01:30:36.7195334Z 'obj_weakref': 2022-11-23T01:30:36.7195635Z 'guarded_class': 2022-11-23T01:30:36.7195702Z } 2022-11-23T01:30:36.7195764Z 2022-11-23T01:30:36.7195820Z - 2022-11-23T01:30:36.7195949Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7196011Z { 2022-11-23T01:30:36.7196146Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7196314Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7196430Z 'obj_weakref': None 2022-11-23T01:30:36.7196657Z 'guarded_class': 2022-11-23T01:30:36.7196708Z } 2022-11-23T01:30:36.7196771Z 2022-11-23T01:30:36.7196838Z - 2022-11-23T01:30:36.7196959Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7197021Z { 2022-11-23T01:30:36.7197158Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7197372Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7197475Z 'obj_weakref': None 2022-11-23T01:30:36.7197694Z 'guarded_class': 2022-11-23T01:30:36.7197757Z } 2022-11-23T01:30:36.7197819Z 2022-11-23T01:30:36.7198079Z [2022-11-23 01:30:28,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 510 2022-11-23T01:30:36.7198454Z [2022-11-23 01:30:28,013] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cekta2yjlybjfjgti3gh4i2yxqov4hszbpwrvqjyu7sbxxttcnvk.py 2022-11-23T01:30:36.7198719Z [2022-11-23 01:30:28,013] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 510 2022-11-23T01:30:36.7198725Z 2022-11-23T01:30:36.7198818Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7198876Z import torch 2022-11-23T01:30:36.7198946Z import random 2022-11-23T01:30:36.7199059Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7199181Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7199186Z 2022-11-23T01:30:36.7199264Z aten = torch.ops.aten 2022-11-23T01:30:36.7199398Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7199489Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7199493Z 2022-11-23T01:30:36.7199498Z 2022-11-23T01:30:36.7199630Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7199822Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7199941Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7200127Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7200230Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7200293Z { 2022-11-23T01:30:36.7200390Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7200451Z { 2022-11-23T01:30:36.7200515Z #pragma omp for 2022-11-23T01:30:36.7200599Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7200661Z { 2022-11-23T01:30:36.7200744Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:30:36.7200807Z { 2022-11-23T01:30:36.7200950Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.7201116Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:30:36.7201207Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7201297Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:30:36.7201359Z } 2022-11-23T01:30:36.7201451Z #pragma omp simd simdlen(4) 2022-11-23T01:30:36.7201533Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:30:36.7201596Z { 2022-11-23T01:30:36.7201721Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.7201805Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:30:36.7201878Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7201966Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7202030Z } 2022-11-23T01:30:36.7202092Z } 2022-11-23T01:30:36.7202152Z } 2022-11-23T01:30:36.7202211Z } 2022-11-23T01:30:36.7202279Z ''') 2022-11-23T01:30:36.7202285Z 2022-11-23T01:30:36.7202302Z 2022-11-23T01:30:36.7202380Z async_compile.wait(globals()) 2022-11-23T01:30:36.7202452Z del async_compile 2022-11-23T01:30:36.7202457Z 2022-11-23T01:30:36.7202526Z def call(args): 2022-11-23T01:30:36.7202601Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7202671Z args.clear() 2022-11-23T01:30:36.7202879Z buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7203039Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7203097Z del arg0_1 2022-11-23T01:30:36.7203163Z del arg1_1 2022-11-23T01:30:36.7203233Z return (buf0, ) 2022-11-23T01:30:36.7203238Z 2022-11-23T01:30:36.7203241Z 2022-11-23T01:30:36.7203318Z if __name__ == "__main__": 2022-11-23T01:30:36.7203430Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7203551Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7203750Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7203957Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7204058Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7204063Z 2022-11-23T01:30:36.7204128Z ok (0.026s) 2022-11-23T01:30:36.7204477Z test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:28,018] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7204903Z [2022-11-23 01:30:28,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7205124Z [2022-11-23 01:30:28,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7205376Z [2022-11-23 01:30:28,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7205656Z [2022-11-23 01:30:28,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7205974Z [2022-11-23 01:30:28,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7206321Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7206643Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7207016Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7207109Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7207198Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7207273Z 4 BINARY_ADD 2022-11-23T01:30:36.7207407Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7207486Z 8 RETURN_VALUE 2022-11-23T01:30:36.7207547Z 2022-11-23T01:30:36.7207552Z 2022-11-23T01:30:36.7207867Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7208062Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7208339Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7208611Z [2022-11-23 01:30:28,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7208850Z [2022-11-23 01:30:28,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7209096Z [2022-11-23 01:30:28,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7209537Z [2022-11-23 01:30:28,020] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7209825Z [2022-11-23 01:30:28,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7210058Z [2022-11-23 01:30:28,020] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7210313Z [2022-11-23 01:30:28,021] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7210552Z [2022-11-23 01:30:28,024] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7210738Z [2022-11-23 01:30:28,024] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7210871Z __compiled_fn_519 .3933 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7210964Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7211050Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7211227Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7211320Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7211325Z 2022-11-23T01:30:36.7211647Z [2022-11-23 01:30:28,025] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7211731Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7211820Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7211904Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7211996Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7212081Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7212168Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7212243Z 12 RETURN_VALUE 2022-11-23T01:30:36.7212248Z 2022-11-23T01:30:36.7212310Z 2022-11-23T01:30:36.7212619Z [2022-11-23 01:30:28,025] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7212725Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_519) 2022-11-23T01:30:36.7212814Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7212902Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7212980Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7213067Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7213155Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7213217Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7213303Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7213405Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7213506Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7213628Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7213705Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7213792Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7213854Z 26 RETURN_VALUE 2022-11-23T01:30:36.7213871Z 2022-11-23T01:30:36.7213918Z 2022-11-23T01:30:36.7214100Z [2022-11-23 01:30:28,025] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7214170Z - 2022-11-23T01:30:36.7214292Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7214384Z { 2022-11-23T01:30:36.7214524Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7214698Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7214816Z 'obj_weakref': None 2022-11-23T01:30:36.7215041Z 'guarded_class': 2022-11-23T01:30:36.7215106Z } 2022-11-23T01:30:36.7215169Z 2022-11-23T01:30:36.7215236Z - 2022-11-23T01:30:36.7215362Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7215413Z { 2022-11-23T01:30:36.7215555Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7215658Z 'code': None, 2022-11-23T01:30:36.7215867Z 'obj_weakref': 2022-11-23T01:30:36.7216117Z 'guarded_class': 2022-11-23T01:30:36.7216183Z } 2022-11-23T01:30:36.7216245Z 2022-11-23T01:30:36.7216312Z - 2022-11-23T01:30:36.7216422Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7216482Z { 2022-11-23T01:30:36.7216625Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7216731Z 'code': None, 2022-11-23T01:30:36.7216940Z 'obj_weakref': 2022-11-23T01:30:36.7217193Z 'guarded_class': 2022-11-23T01:30:36.7217256Z } 2022-11-23T01:30:36.7217307Z 2022-11-23T01:30:36.7217374Z - 2022-11-23T01:30:36.7217506Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7217569Z { 2022-11-23T01:30:36.7217702Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7217871Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7217988Z 'obj_weakref': None 2022-11-23T01:30:36.7218204Z 'guarded_class': 2022-11-23T01:30:36.7218267Z } 2022-11-23T01:30:36.7218330Z 2022-11-23T01:30:36.7218403Z - 2022-11-23T01:30:36.7218523Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7218588Z { 2022-11-23T01:30:36.7218711Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7218928Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7219046Z 'obj_weakref': None 2022-11-23T01:30:36.7219269Z 'guarded_class': 2022-11-23T01:30:36.7219338Z } 2022-11-23T01:30:36.7219399Z 2022-11-23T01:30:36.7219660Z [2022-11-23 01:30:28,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 511 2022-11-23T01:30:36.7220033Z [2022-11-23 01:30:28,038] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7z/c7zhzbrmanasxgpp626emtrmwu25yasiu5wjvq2nb2wkrpfx4mey.py 2022-11-23T01:30:36.7220282Z [2022-11-23 01:30:28,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 511 2022-11-23T01:30:36.7220301Z 2022-11-23T01:30:36.7220381Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7220451Z import torch 2022-11-23T01:30:36.7220548Z import random 2022-11-23T01:30:36.7220668Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7220790Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7220795Z 2022-11-23T01:30:36.7220873Z aten = torch.ops.aten 2022-11-23T01:30:36.7221006Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7221086Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7221090Z 2022-11-23T01:30:36.7221134Z 2022-11-23T01:30:36.7221255Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7221458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7221576Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7221681Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7221780Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7221842Z { 2022-11-23T01:30:36.7221939Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7221990Z { 2022-11-23T01:30:36.7222066Z #pragma omp for 2022-11-23T01:30:36.7222147Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.7222211Z { 2022-11-23T01:30:36.7222349Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.7222470Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:30:36.7222554Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7222634Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.7222697Z } 2022-11-23T01:30:36.7222792Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.7222873Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:36.7222935Z { 2022-11-23T01:30:36.7223018Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.7223099Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:30:36.7223168Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7223246Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.7223312Z } 2022-11-23T01:30:36.7223373Z } 2022-11-23T01:30:36.7223432Z } 2022-11-23T01:30:36.7223510Z ''') 2022-11-23T01:30:36.7223515Z 2022-11-23T01:30:36.7223519Z 2022-11-23T01:30:36.7223607Z async_compile.wait(globals()) 2022-11-23T01:30:36.7223665Z del async_compile 2022-11-23T01:30:36.7223670Z 2022-11-23T01:30:36.7223739Z def call(args): 2022-11-23T01:30:36.7223814Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7223885Z args.clear() 2022-11-23T01:30:36.7224088Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7224253Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7224324Z del arg0_1 2022-11-23T01:30:36.7224377Z del arg1_1 2022-11-23T01:30:36.7224447Z return (buf0, ) 2022-11-23T01:30:36.7224452Z 2022-11-23T01:30:36.7224456Z 2022-11-23T01:30:36.7224530Z if __name__ == "__main__": 2022-11-23T01:30:36.7224647Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7224771Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7224971Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7225161Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7225272Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7225277Z 2022-11-23T01:30:36.7225329Z ok (0.025s) 2022-11-23T01:30:36.7225676Z test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7225990Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7226208Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7226487Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7226765Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7227084Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7227428Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7227792Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7228166Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7228246Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7228339Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7228411Z 4 BINARY_ADD 2022-11-23T01:30:36.7228501Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7228576Z 8 RETURN_VALUE 2022-11-23T01:30:36.7228637Z 2022-11-23T01:30:36.7228641Z 2022-11-23T01:30:36.7228955Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7229167Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7229392Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7229664Z [2022-11-23 01:30:28,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7229905Z [2022-11-23 01:30:28,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7230148Z [2022-11-23 01:30:28,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7230533Z [2022-11-23 01:30:28,045] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7230778Z [2022-11-23 01:30:28,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7231011Z [2022-11-23 01:30:28,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7231263Z [2022-11-23 01:30:28,046] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7231510Z [2022-11-23 01:30:28,049] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7231697Z [2022-11-23 01:30:28,050] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7231819Z __compiled_fn_520 .3939 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7231906Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7231992Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7232168Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7232262Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7232270Z 2022-11-23T01:30:36.7232594Z [2022-11-23 01:30:28,050] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7232685Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7232774Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7232849Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7232939Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7233056Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7233147Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7233222Z 12 RETURN_VALUE 2022-11-23T01:30:36.7233227Z 2022-11-23T01:30:36.7233285Z 2022-11-23T01:30:36.7233602Z [2022-11-23 01:30:28,050] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7233696Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_520) 2022-11-23T01:30:36.7233814Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7233903Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7233980Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7234067Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7234155Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7234229Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7234305Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7234409Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7234510Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7234597Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7234671Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7234756Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7234828Z 26 RETURN_VALUE 2022-11-23T01:30:36.7234835Z 2022-11-23T01:30:36.7234893Z 2022-11-23T01:30:36.7235063Z [2022-11-23 01:30:28,051] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7235133Z - 2022-11-23T01:30:36.7235251Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7235313Z { 2022-11-23T01:30:36.7235452Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7235636Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7235755Z 'obj_weakref': None 2022-11-23T01:30:36.7235969Z 'guarded_class': 2022-11-23T01:30:36.7236033Z } 2022-11-23T01:30:36.7236095Z 2022-11-23T01:30:36.7236164Z - 2022-11-23T01:30:36.7236285Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7236348Z { 2022-11-23T01:30:36.7236476Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7236581Z 'code': None, 2022-11-23T01:30:36.7236793Z 'obj_weakref': 2022-11-23T01:30:36.7237044Z 'guarded_class': 2022-11-23T01:30:36.7237107Z } 2022-11-23T01:30:36.7237170Z 2022-11-23T01:30:36.7237239Z - 2022-11-23T01:30:36.7237359Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7237411Z { 2022-11-23T01:30:36.7237550Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7237658Z 'code': None, 2022-11-23T01:30:36.7237868Z 'obj_weakref': 2022-11-23T01:30:36.7238113Z 'guarded_class': 2022-11-23T01:30:36.7238176Z } 2022-11-23T01:30:36.7238238Z 2022-11-23T01:30:36.7238293Z - 2022-11-23T01:30:36.7238425Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7238488Z { 2022-11-23T01:30:36.7238621Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7238787Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7238905Z 'obj_weakref': None 2022-11-23T01:30:36.7239134Z 'guarded_class': 2022-11-23T01:30:36.7239185Z } 2022-11-23T01:30:36.7239247Z 2022-11-23T01:30:36.7239314Z - 2022-11-23T01:30:36.7239463Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7239526Z { 2022-11-23T01:30:36.7239661Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7239875Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7240070Z 'obj_weakref': None 2022-11-23T01:30:36.7240300Z 'guarded_class': 2022-11-23T01:30:36.7240396Z } 2022-11-23T01:30:36.7240458Z 2022-11-23T01:30:36.7240719Z [2022-11-23 01:30:28,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 512 2022-11-23T01:30:36.7241085Z [2022-11-23 01:30:29,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7jik3ki355xugsveod6p2rzddglkyborhpy5wdxdnfwexmr6hw.py 2022-11-23T01:30:36.7241347Z [2022-11-23 01:30:29,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 512 2022-11-23T01:30:36.7241353Z 2022-11-23T01:30:36.7241449Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7241506Z import torch 2022-11-23T01:30:36.7241575Z import random 2022-11-23T01:30:36.7241689Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7241812Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7241817Z 2022-11-23T01:30:36.7241894Z aten = torch.ops.aten 2022-11-23T01:30:36.7242031Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7242122Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7242127Z 2022-11-23T01:30:36.7242132Z 2022-11-23T01:30:36.7242264Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7242453Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7242571Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7242675Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7242775Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7242837Z { 2022-11-23T01:30:36.7242931Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7242991Z { 2022-11-23T01:30:36.7243055Z #pragma omp for 2022-11-23T01:30:36.7243135Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7243198Z { 2022-11-23T01:30:36.7243279Z #pragma GCC ivdep 2022-11-23T01:30:36.7243364Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7243427Z { 2022-11-23T01:30:36.7243479Z { 2022-11-23T01:30:36.7243544Z { 2022-11-23T01:30:36.7243646Z auto tmp0 = in_ptr0[i0 + (10*i1)]; 2022-11-23T01:30:36.7243746Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.7243837Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7243931Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7243998Z } 2022-11-23T01:30:36.7244050Z } 2022-11-23T01:30:36.7244113Z } 2022-11-23T01:30:36.7244174Z } 2022-11-23T01:30:36.7244234Z } 2022-11-23T01:30:36.7244293Z } 2022-11-23T01:30:36.7244369Z ''') 2022-11-23T01:30:36.7244374Z 2022-11-23T01:30:36.7244378Z 2022-11-23T01:30:36.7244466Z async_compile.wait(globals()) 2022-11-23T01:30:36.7244525Z del async_compile 2022-11-23T01:30:36.7244545Z 2022-11-23T01:30:36.7244601Z def call(args): 2022-11-23T01:30:36.7244674Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7244862Z args.clear() 2022-11-23T01:30:36.7245064Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7245226Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7245294Z del arg0_1 2022-11-23T01:30:36.7245359Z del arg1_1 2022-11-23T01:30:36.7245418Z return (buf0, ) 2022-11-23T01:30:36.7245423Z 2022-11-23T01:30:36.7245481Z 2022-11-23T01:30:36.7245558Z if __name__ == "__main__": 2022-11-23T01:30:36.7245671Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7245793Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7245995Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7246189Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7246342Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7246347Z 2022-11-23T01:30:36.7246412Z ok (1.438s) 2022-11-23T01:30:36.7246747Z test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7247066Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7247285Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7247537Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7247811Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7248130Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7248477Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7248798Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7249176Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7249268Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7249345Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7249417Z 4 BINARY_ADD 2022-11-23T01:30:36.7249506Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7249581Z 8 RETURN_VALUE 2022-11-23T01:30:36.7249643Z 2022-11-23T01:30:36.7249648Z 2022-11-23T01:30:36.7249957Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7250166Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7250398Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7250659Z [2022-11-23 01:30:29,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7250897Z [2022-11-23 01:30:29,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7251140Z [2022-11-23 01:30:29,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7251523Z [2022-11-23 01:30:29,485] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7251770Z [2022-11-23 01:30:29,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7252002Z [2022-11-23 01:30:29,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7252256Z [2022-11-23 01:30:29,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7252527Z [2022-11-23 01:30:29,489] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7252717Z [2022-11-23 01:30:29,489] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7252837Z __compiled_fn_521 .3945 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7252927Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7253013Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7253242Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7253335Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7253340Z 2022-11-23T01:30:36.7253663Z [2022-11-23 01:30:29,489] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7253755Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7253842Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7253918Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7254011Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7254095Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7254182Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7254256Z 12 RETURN_VALUE 2022-11-23T01:30:36.7254262Z 2022-11-23T01:30:36.7254321Z 2022-11-23T01:30:36.7254642Z [2022-11-23 01:30:29,489] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7254751Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_521) 2022-11-23T01:30:36.7254828Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7254915Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7254991Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7255078Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7255164Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7255241Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7255328Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7255417Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7255518Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7255605Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7255680Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7255768Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7255842Z 26 RETURN_VALUE 2022-11-23T01:30:36.7255846Z 2022-11-23T01:30:36.7255906Z 2022-11-23T01:30:36.7256072Z [2022-11-23 01:30:29,490] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7256144Z - 2022-11-23T01:30:36.7256263Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7256327Z { 2022-11-23T01:30:36.7256467Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7256655Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7256774Z 'obj_weakref': None 2022-11-23T01:30:36.7256985Z 'guarded_class': 2022-11-23T01:30:36.7257050Z } 2022-11-23T01:30:36.7257113Z 2022-11-23T01:30:36.7257183Z - 2022-11-23T01:30:36.7257307Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7257370Z { 2022-11-23T01:30:36.7257514Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7257607Z 'code': None, 2022-11-23T01:30:36.7257816Z 'obj_weakref': 2022-11-23T01:30:36.7258069Z 'guarded_class': 2022-11-23T01:30:36.7258135Z } 2022-11-23T01:30:36.7258200Z 2022-11-23T01:30:36.7258269Z - 2022-11-23T01:30:36.7258418Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7258470Z { 2022-11-23T01:30:36.7258613Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7258718Z 'code': None, 2022-11-23T01:30:36.7258930Z 'obj_weakref': 2022-11-23T01:30:36.7259181Z 'guarded_class': 2022-11-23T01:30:36.7259273Z } 2022-11-23T01:30:36.7259337Z 2022-11-23T01:30:36.7259393Z - 2022-11-23T01:30:36.7259521Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7259583Z { 2022-11-23T01:30:36.7259716Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7259883Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7260001Z 'obj_weakref': None 2022-11-23T01:30:36.7260232Z 'guarded_class': 2022-11-23T01:30:36.7260282Z } 2022-11-23T01:30:36.7260345Z 2022-11-23T01:30:36.7260414Z - 2022-11-23T01:30:36.7260534Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7260597Z { 2022-11-23T01:30:36.7260733Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7260947Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7261054Z 'obj_weakref': None 2022-11-23T01:30:36.7261277Z 'guarded_class': 2022-11-23T01:30:36.7261340Z } 2022-11-23T01:30:36.7261405Z 2022-11-23T01:30:36.7261662Z [2022-11-23 01:30:29,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 513 2022-11-23T01:30:36.7262035Z [2022-11-23 01:30:30,914] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cui3we3kvbic2jmcfndfyxsdsu64baauxbdy7dipcnxl3mavkyqn.py 2022-11-23T01:30:36.7262297Z [2022-11-23 01:30:30,914] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 513 2022-11-23T01:30:36.7262302Z 2022-11-23T01:30:36.7262395Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7262450Z import torch 2022-11-23T01:30:36.7262518Z import random 2022-11-23T01:30:36.7262636Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7262761Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7262766Z 2022-11-23T01:30:36.7262842Z aten = torch.ops.aten 2022-11-23T01:30:36.7262976Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7263069Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7263074Z 2022-11-23T01:30:36.7263079Z 2022-11-23T01:30:36.7263210Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7263401Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7263522Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7263628Z const double* __restrict__ in_ptr1, 2022-11-23T01:30:36.7263728Z double* __restrict__ out_ptr0) 2022-11-23T01:30:36.7263790Z { 2022-11-23T01:30:36.7263888Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7263949Z { 2022-11-23T01:30:36.7264013Z #pragma omp for 2022-11-23T01:30:36.7264098Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7264159Z { 2022-11-23T01:30:36.7264237Z #pragma GCC ivdep 2022-11-23T01:30:36.7264325Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7264388Z { 2022-11-23T01:30:36.7264452Z { 2022-11-23T01:30:36.7264506Z { 2022-11-23T01:30:36.7264610Z auto tmp0 = in_ptr0[i0 + (10*i1)]; 2022-11-23T01:30:36.7264709Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:30:36.7264849Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:30:36.7264944Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:30:36.7265040Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.7265106Z } 2022-11-23T01:30:36.7265158Z } 2022-11-23T01:30:36.7265223Z } 2022-11-23T01:30:36.7265286Z } 2022-11-23T01:30:36.7265347Z } 2022-11-23T01:30:36.7265438Z } 2022-11-23T01:30:36.7265517Z ''') 2022-11-23T01:30:36.7265522Z 2022-11-23T01:30:36.7265526Z 2022-11-23T01:30:36.7265614Z async_compile.wait(globals()) 2022-11-23T01:30:36.7265672Z del async_compile 2022-11-23T01:30:36.7265677Z 2022-11-23T01:30:36.7265747Z def call(args): 2022-11-23T01:30:36.7265822Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7265894Z args.clear() 2022-11-23T01:30:36.7266093Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.7266259Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7266326Z del arg0_1 2022-11-23T01:30:36.7266379Z del arg1_1 2022-11-23T01:30:36.7266452Z return (buf0, ) 2022-11-23T01:30:36.7266456Z 2022-11-23T01:30:36.7266460Z 2022-11-23T01:30:36.7266534Z if __name__ == "__main__": 2022-11-23T01:30:36.7266647Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7266769Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7266968Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7267163Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:30:36.7267275Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7267280Z 2022-11-23T01:30:36.7267345Z ok (1.438s) 2022-11-23T01:30:36.7267672Z test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7267987Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7268203Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7268457Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7268735Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7269052Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7269397Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7269719Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7270099Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7270190Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7270269Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7270342Z 4 BINARY_ADD 2022-11-23T01:30:36.7270429Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7270502Z 8 RETURN_VALUE 2022-11-23T01:30:36.7270564Z 2022-11-23T01:30:36.7270569Z 2022-11-23T01:30:36.7270881Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7271115Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7271353Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7271613Z [2022-11-23 01:30:30,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7271853Z [2022-11-23 01:30:30,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7272141Z [2022-11-23 01:30:30,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7272524Z [2022-11-23 01:30:30,922] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7272767Z [2022-11-23 01:30:30,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7273001Z [2022-11-23 01:30:30,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7273255Z [2022-11-23 01:30:30,923] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7273500Z [2022-11-23 01:30:30,926] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7273687Z [2022-11-23 01:30:30,926] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7273810Z __compiled_fn_522 .3951 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7273897Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7273983Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7274161Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7274256Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7274261Z 2022-11-23T01:30:36.7274589Z [2022-11-23 01:30:30,926] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7274683Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7274773Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7274848Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7274941Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7275026Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7275117Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7275192Z 12 RETURN_VALUE 2022-11-23T01:30:36.7275197Z 2022-11-23T01:30:36.7275256Z 2022-11-23T01:30:36.7275576Z [2022-11-23 01:30:30,926] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7275682Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_522) 2022-11-23T01:30:36.7275759Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7275849Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7275924Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7276012Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7276098Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7276171Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7276257Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7276348Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7276450Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7276536Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7276609Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7276695Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7276768Z 26 RETURN_VALUE 2022-11-23T01:30:36.7276773Z 2022-11-23T01:30:36.7276831Z 2022-11-23T01:30:36.7277000Z [2022-11-23 01:30:30,927] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7277069Z - 2022-11-23T01:30:36.7277218Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7277283Z { 2022-11-23T01:30:36.7277422Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7277607Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7277727Z 'obj_weakref': None 2022-11-23T01:30:36.7277940Z 'guarded_class': 2022-11-23T01:30:36.7278035Z } 2022-11-23T01:30:36.7278097Z 2022-11-23T01:30:36.7278165Z - 2022-11-23T01:30:36.7278288Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7278351Z { 2022-11-23T01:30:36.7278492Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7278584Z 'code': None, 2022-11-23T01:30:36.7278796Z 'obj_weakref': 2022-11-23T01:30:36.7279049Z 'guarded_class': 2022-11-23T01:30:36.7279114Z } 2022-11-23T01:30:36.7279177Z 2022-11-23T01:30:36.7279244Z - 2022-11-23T01:30:36.7279364Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7279415Z { 2022-11-23T01:30:36.7279555Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7279660Z 'code': None, 2022-11-23T01:30:36.7279872Z 'obj_weakref': 2022-11-23T01:30:36.7280217Z 'guarded_class': 2022-11-23T01:30:36.7280282Z } 2022-11-23T01:30:36.7280346Z 2022-11-23T01:30:36.7280404Z - 2022-11-23T01:30:36.7280534Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7280597Z { 2022-11-23T01:30:36.7280730Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7280900Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7281018Z 'obj_weakref': None 2022-11-23T01:30:36.7281247Z 'guarded_class': 2022-11-23T01:30:36.7281298Z } 2022-11-23T01:30:36.7281360Z 2022-11-23T01:30:36.7281429Z - 2022-11-23T01:30:36.7281549Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7281614Z { 2022-11-23T01:30:36.7281747Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7281962Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7282067Z 'obj_weakref': None 2022-11-23T01:30:36.7282291Z 'guarded_class': 2022-11-23T01:30:36.7282354Z } 2022-11-23T01:30:36.7282417Z 2022-11-23T01:30:36.7282680Z [2022-11-23 01:30:30,932] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 514 2022-11-23T01:30:36.7283048Z [2022-11-23 01:30:32,342] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q2/cq2sszhktz3vskvfy5mkqw5pwlw7xsujyyosjo5rfexxq23exlnl.py 2022-11-23T01:30:36.7283311Z [2022-11-23 01:30:32,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 514 2022-11-23T01:30:36.7283320Z 2022-11-23T01:30:36.7283413Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7283470Z import torch 2022-11-23T01:30:36.7283538Z import random 2022-11-23T01:30:36.7283652Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7283773Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7283777Z 2022-11-23T01:30:36.7283855Z aten = torch.ops.aten 2022-11-23T01:30:36.7283988Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7284079Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7284084Z 2022-11-23T01:30:36.7284125Z 2022-11-23T01:30:36.7284262Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7284454Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7284572Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7284673Z const int* __restrict__ in_ptr1, 2022-11-23T01:30:36.7284883Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7285000Z { 2022-11-23T01:30:36.7285098Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7285159Z { 2022-11-23T01:30:36.7285223Z #pragma omp for 2022-11-23T01:30:36.7285305Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7285365Z { 2022-11-23T01:30:36.7285444Z #pragma GCC ivdep 2022-11-23T01:30:36.7285530Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7285593Z { 2022-11-23T01:30:36.7285656Z { 2022-11-23T01:30:36.7285711Z { 2022-11-23T01:30:36.7285813Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:30:36.7285906Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.7286016Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:30:36.7286108Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:30:36.7286203Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:30:36.7286272Z } 2022-11-23T01:30:36.7286324Z } 2022-11-23T01:30:36.7286387Z } 2022-11-23T01:30:36.7286450Z } 2022-11-23T01:30:36.7286513Z } 2022-11-23T01:30:36.7286571Z } 2022-11-23T01:30:36.7286650Z ''') 2022-11-23T01:30:36.7286655Z 2022-11-23T01:30:36.7286660Z 2022-11-23T01:30:36.7286747Z async_compile.wait(globals()) 2022-11-23T01:30:36.7286806Z del async_compile 2022-11-23T01:30:36.7286811Z 2022-11-23T01:30:36.7286880Z def call(args): 2022-11-23T01:30:36.7286956Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7287029Z args.clear() 2022-11-23T01:30:36.7287226Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7287387Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7287455Z del arg0_1 2022-11-23T01:30:36.7287508Z del arg1_1 2022-11-23T01:30:36.7287579Z return (buf0, ) 2022-11-23T01:30:36.7287584Z 2022-11-23T01:30:36.7287591Z 2022-11-23T01:30:36.7287664Z if __name__ == "__main__": 2022-11-23T01:30:36.7287778Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7287900Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7288097Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7288286Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:30:36.7288398Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7288403Z 2022-11-23T01:30:36.7288458Z ok (1.428s) 2022-11-23T01:30:36.7288804Z test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:32,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7289118Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7289335Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7289591Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7289867Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7290184Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7290567Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7290889Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7291267Z [2022-11-23 01:30:32,351] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7291377Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7291467Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7291538Z 4 BINARY_ADD 2022-11-23T01:30:36.7291632Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7291707Z 8 RETURN_VALUE 2022-11-23T01:30:36.7291767Z 2022-11-23T01:30:36.7291772Z 2022-11-23T01:30:36.7292087Z [2022-11-23 01:30:32,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7292295Z [2022-11-23 01:30:32,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7292517Z [2022-11-23 01:30:32,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7292787Z [2022-11-23 01:30:32,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7293029Z [2022-11-23 01:30:32,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7293273Z [2022-11-23 01:30:32,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7293660Z [2022-11-23 01:30:32,353] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7293906Z [2022-11-23 01:30:32,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7294137Z [2022-11-23 01:30:32,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7294389Z [2022-11-23 01:30:32,355] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7294638Z [2022-11-23 01:30:32,360] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7294824Z [2022-11-23 01:30:32,360] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7294946Z __compiled_fn_523 .3957 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7295033Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7295119Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7295295Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7295390Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7295395Z 2022-11-23T01:30:36.7295721Z [2022-11-23 01:30:32,361] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7295812Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7295902Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7295975Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7296069Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7296155Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7296243Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7296320Z 12 RETURN_VALUE 2022-11-23T01:30:36.7296325Z 2022-11-23T01:30:36.7296386Z 2022-11-23T01:30:36.7296708Z [2022-11-23 01:30:32,361] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7296832Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_523) 2022-11-23T01:30:36.7296923Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7297012Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7297091Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7297181Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7297268Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7297381Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7297455Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7297559Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7297658Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7297747Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7297823Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7297910Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7297985Z 26 RETURN_VALUE 2022-11-23T01:30:36.7297992Z 2022-11-23T01:30:36.7298054Z 2022-11-23T01:30:36.7298225Z [2022-11-23 01:30:32,362] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7298296Z - 2022-11-23T01:30:36.7298414Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7298478Z { 2022-11-23T01:30:36.7298618Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7298804Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7298924Z 'obj_weakref': None 2022-11-23T01:30:36.7299135Z 'guarded_class': 2022-11-23T01:30:36.7299202Z } 2022-11-23T01:30:36.7299268Z 2022-11-23T01:30:36.7299339Z - 2022-11-23T01:30:36.7299459Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7299525Z { 2022-11-23T01:30:36.7299666Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7299761Z 'code': None, 2022-11-23T01:30:36.7299972Z 'obj_weakref': 2022-11-23T01:30:36.7300224Z 'guarded_class': 2022-11-23T01:30:36.7300290Z } 2022-11-23T01:30:36.7300355Z 2022-11-23T01:30:36.7300424Z - 2022-11-23T01:30:36.7300545Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7300598Z { 2022-11-23T01:30:36.7300739Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7300848Z 'code': None, 2022-11-23T01:30:36.7301059Z 'obj_weakref': 2022-11-23T01:30:36.7301309Z 'guarded_class': 2022-11-23T01:30:36.7301372Z } 2022-11-23T01:30:36.7301434Z 2022-11-23T01:30:36.7301491Z - 2022-11-23T01:30:36.7301621Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7301683Z { 2022-11-23T01:30:36.7301816Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7301985Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7302103Z 'obj_weakref': None 2022-11-23T01:30:36.7302332Z 'guarded_class': 2022-11-23T01:30:36.7302385Z } 2022-11-23T01:30:36.7302448Z 2022-11-23T01:30:36.7302516Z - 2022-11-23T01:30:36.7302638Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7302701Z { 2022-11-23T01:30:36.7302835Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7303050Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7303155Z 'obj_weakref': None 2022-11-23T01:30:36.7303407Z 'guarded_class': 2022-11-23T01:30:36.7303473Z } 2022-11-23T01:30:36.7303538Z 2022-11-23T01:30:36.7303803Z [2022-11-23 01:30:32,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 515 2022-11-23T01:30:36.7304173Z [2022-11-23 01:30:33,856] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/by/cbyijpuq7yr3ucdvzxdylskww5fp4t44pj7nb6u2aizgdkjtb435.py 2022-11-23T01:30:36.7304466Z [2022-11-23 01:30:33,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 515 2022-11-23T01:30:36.7304472Z 2022-11-23T01:30:36.7304566Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7304622Z import torch 2022-11-23T01:30:36.7304692Z import random 2022-11-23T01:30:36.7304806Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7304925Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7304930Z 2022-11-23T01:30:36.7305008Z aten = torch.ops.aten 2022-11-23T01:30:36.7305140Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7305230Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7305235Z 2022-11-23T01:30:36.7305239Z 2022-11-23T01:30:36.7305371Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7305561Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7305683Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7305787Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7305887Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7305948Z { 2022-11-23T01:30:36.7306046Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7306106Z { 2022-11-23T01:30:36.7306169Z #pragma omp for 2022-11-23T01:30:36.7306250Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:30:36.7306312Z { 2022-11-23T01:30:36.7306395Z #pragma GCC ivdep 2022-11-23T01:30:36.7306483Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:30:36.7306546Z { 2022-11-23T01:30:36.7306609Z { 2022-11-23T01:30:36.7306663Z { 2022-11-23T01:30:36.7306763Z auto tmp0 = in_ptr0[i0 + (10*i1)]; 2022-11-23T01:30:36.7306868Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:30:36.7306965Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7307059Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:30:36.7307125Z } 2022-11-23T01:30:36.7307188Z } 2022-11-23T01:30:36.7307238Z } 2022-11-23T01:30:36.7307298Z } 2022-11-23T01:30:36.7307359Z } 2022-11-23T01:30:36.7307417Z } 2022-11-23T01:30:36.7307495Z ''') 2022-11-23T01:30:36.7307500Z 2022-11-23T01:30:36.7307504Z 2022-11-23T01:30:36.7307592Z async_compile.wait(globals()) 2022-11-23T01:30:36.7307662Z del async_compile 2022-11-23T01:30:36.7307668Z 2022-11-23T01:30:36.7307725Z def call(args): 2022-11-23T01:30:36.7307799Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7307870Z args.clear() 2022-11-23T01:30:36.7308070Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7308230Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7308299Z del arg0_1 2022-11-23T01:30:36.7308364Z del arg1_1 2022-11-23T01:30:36.7308423Z return (buf0, ) 2022-11-23T01:30:36.7308427Z 2022-11-23T01:30:36.7308432Z 2022-11-23T01:30:36.7308507Z if __name__ == "__main__": 2022-11-23T01:30:36.7308620Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7308743Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7308942Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7309169Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7309287Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7309291Z 2022-11-23T01:30:36.7309357Z ok (1.514s) 2022-11-23T01:30:36.7309696Z test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:33,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:30:36.7310012Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297 2022-11-23T01:30:36.7310255Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:30:36.7310511Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:30:36.7310786Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:30:36.7311109Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7311455Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7311775Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:30:36.7312156Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:30:36.7312246Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:30:36.7312325Z 2 LOAD_FAST 1 (b) 2022-11-23T01:30:36.7312399Z 4 BINARY_ADD 2022-11-23T01:30:36.7317381Z 6 BUILD_TUPLE 1 2022-11-23T01:30:36.7317494Z 8 RETURN_VALUE 2022-11-23T01:30:36.7317554Z 2022-11-23T01:30:36.7317559Z 2022-11-23T01:30:36.7317917Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456 2022-11-23T01:30:36.7318121Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:30:36.7318360Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:30:36.7318639Z [2022-11-23 01:30:33,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:30:36.7318881Z [2022-11-23 01:30:33,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:30:36.7319132Z [2022-11-23 01:30:33,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7319526Z [2022-11-23 01:30:33,864] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:30:36.7319770Z [2022-11-23 01:30:33,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:30:36.7320100Z [2022-11-23 01:30:33,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:30:36.7320363Z [2022-11-23 01:30:33,865] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:30:36.7320602Z [2022-11-23 01:30:33,869] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:30:36.7320790Z [2022-11-23 01:30:33,869] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:30:36.7320922Z __compiled_fn_524 .3963 opcode, name, target, args, kwargs 2022-11-23T01:30:36.7321014Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:30:36.7321173Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:30:36.7321354Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:30:36.7321449Z output, output, output, ((add,),), {} 2022-11-23T01:30:36.7321454Z 2022-11-23T01:30:36.7321780Z [2022-11-23 01:30:33,869] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7321860Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:30:36.7321985Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7322075Z 4 BUILD_MAP 0 2022-11-23T01:30:36.7322166Z 6 LOAD_FAST 1 (kwargs) 2022-11-23T01:30:36.7322248Z 8 DICT_MERGE 1 2022-11-23T01:30:36.7322336Z 10 CALL_FUNCTION_EX 1 2022-11-23T01:30:36.7322411Z 12 RETURN_VALUE 2022-11-23T01:30:36.7322416Z 2022-11-23T01:30:36.7322477Z 2022-11-23T01:30:36.7322789Z [2022-11-23 01:30:33,870] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 2022-11-23T01:30:36.7322896Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_524) 2022-11-23T01:30:36.7322989Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7323078Z 4 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7323153Z 6 BINARY_SUBSCR 2022-11-23T01:30:36.7323243Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:30:36.7323330Z 10 LOAD_CONST 2 (1) 2022-11-23T01:30:36.7323392Z 12 BINARY_SUBSCR 2022-11-23T01:30:36.7323478Z 14 CALL_FUNCTION 2 2022-11-23T01:30:36.7323582Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7323683Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:30:36.7323769Z 20 LOAD_CONST 1 (0) 2022-11-23T01:30:36.7323846Z 22 BINARY_SUBSCR 2022-11-23T01:30:36.7323931Z 24 BUILD_TUPLE 1 2022-11-23T01:30:36.7323991Z 26 RETURN_VALUE 2022-11-23T01:30:36.7324008Z 2022-11-23T01:30:36.7324054Z 2022-11-23T01:30:36.7324238Z [2022-11-23 01:30:33,870] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:30:36.7324305Z - 2022-11-23T01:30:36.7324423Z local 'ex' LIST_LENGTH 2022-11-23T01:30:36.7324489Z { 2022-11-23T01:30:36.7324630Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:30:36.7324916Z 'code': ['___check_type_id(ex, 94427249872512)', 'len(ex) == 2'], 2022-11-23T01:30:36.7325037Z 'obj_weakref': None 2022-11-23T01:30:36.7325264Z 'guarded_class': 2022-11-23T01:30:36.7325332Z } 2022-11-23T01:30:36.7325394Z 2022-11-23T01:30:36.7325462Z - 2022-11-23T01:30:36.7325586Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:30:36.7325639Z { 2022-11-23T01:30:36.7325782Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7325887Z 'code': None, 2022-11-23T01:30:36.7326096Z 'obj_weakref': 2022-11-23T01:30:36.7326347Z 'guarded_class': 2022-11-23T01:30:36.7326413Z } 2022-11-23T01:30:36.7326476Z 2022-11-23T01:30:36.7326543Z - 2022-11-23T01:30:36.7326652Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:30:36.7326714Z { 2022-11-23T01:30:36.7326855Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:30:36.7326962Z 'code': None, 2022-11-23T01:30:36.7327174Z 'obj_weakref': 2022-11-23T01:30:36.7327480Z 'guarded_class': 2022-11-23T01:30:36.7327546Z } 2022-11-23T01:30:36.7327599Z 2022-11-23T01:30:36.7327669Z - 2022-11-23T01:30:36.7327801Z local 'model' FUNCTION_MATCH 2022-11-23T01:30:36.7327864Z { 2022-11-23T01:30:36.7327998Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:30:36.7328169Z 'code': ['___check_obj_id(model, 140537199906816)'], 2022-11-23T01:30:36.7328325Z 'obj_weakref': None 2022-11-23T01:30:36.7328543Z 'guarded_class': 2022-11-23T01:30:36.7328607Z } 2022-11-23T01:30:36.7328671Z 2022-11-23T01:30:36.7328740Z - 2022-11-23T01:30:36.7328861Z local 'kwargs' DICT_KEYS 2022-11-23T01:30:36.7328923Z { 2022-11-23T01:30:36.7329044Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:30:36.7329260Z 'code': ['___check_type_id(kwargs, 94427249893088)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:30:36.7329376Z 'obj_weakref': None 2022-11-23T01:30:36.7329596Z 'guarded_class': 2022-11-23T01:30:36.7329657Z } 2022-11-23T01:30:36.7329721Z 2022-11-23T01:30:36.7329981Z [2022-11-23 01:30:33,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 516 2022-11-23T01:30:36.7330361Z [2022-11-23 01:30:33,884] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z7/cz7eildisvifghcfgvlmem6hwf3nlekyn3iz2xxgz2poqpjswazb.py 2022-11-23T01:30:36.7330612Z [2022-11-23 01:30:33,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 516 2022-11-23T01:30:36.7330629Z 2022-11-23T01:30:36.7330710Z from ctypes import c_void_p, c_long 2022-11-23T01:30:36.7330777Z import torch 2022-11-23T01:30:36.7330845Z import random 2022-11-23T01:30:36.7330962Z from torch import empty_strided, as_strided, device 2022-11-23T01:30:36.7331081Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:30:36.7331087Z 2022-11-23T01:30:36.7331162Z aten = torch.ops.aten 2022-11-23T01:30:36.7331295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:30:36.7331374Z async_compile = AsyncCompile() 2022-11-23T01:30:36.7331379Z 2022-11-23T01:30:36.7331394Z 2022-11-23T01:30:36.7331514Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:30:36.7331717Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:30:36.7331836Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:30:36.7331938Z const float* __restrict__ in_ptr1, 2022-11-23T01:30:36.7332036Z float* __restrict__ out_ptr0) 2022-11-23T01:30:36.7332096Z { 2022-11-23T01:30:36.7332192Z #pragma omp parallel num_threads(4) 2022-11-23T01:30:36.7332242Z { 2022-11-23T01:30:36.7332320Z #pragma omp for 2022-11-23T01:30:36.7332401Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:30:36.7332461Z { 2022-11-23T01:30:36.7332610Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:30:36.7332737Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:30:36.7332821Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7332898Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:30:36.7332962Z } 2022-11-23T01:30:36.7333055Z #pragma omp for simd simdlen(4) 2022-11-23T01:30:36.7333139Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:30:36.7333203Z { 2022-11-23T01:30:36.7333286Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:30:36.7333366Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:30:36.7333434Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:30:36.7333512Z out_ptr0[i0] = tmp2; 2022-11-23T01:30:36.7333571Z } 2022-11-23T01:30:36.7333630Z } 2022-11-23T01:30:36.7333716Z } 2022-11-23T01:30:36.7333795Z ''') 2022-11-23T01:30:36.7333800Z 2022-11-23T01:30:36.7333804Z 2022-11-23T01:30:36.7333891Z async_compile.wait(globals()) 2022-11-23T01:30:36.7333950Z del async_compile 2022-11-23T01:30:36.7333955Z 2022-11-23T01:30:36.7334024Z def call(args): 2022-11-23T01:30:36.7334102Z arg0_1, arg1_1 = args 2022-11-23T01:30:36.7334171Z args.clear() 2022-11-23T01:30:36.7334371Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7334565Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:30:36.7334631Z del arg0_1 2022-11-23T01:30:36.7334685Z del arg1_1 2022-11-23T01:30:36.7334754Z return (buf0, ) 2022-11-23T01:30:36.7334759Z 2022-11-23T01:30:36.7334762Z 2022-11-23T01:30:36.7334837Z if __name__ == "__main__": 2022-11-23T01:30:36.7334952Z from torch._dynamo.testing import rand_strided 2022-11-23T01:30:36.7335076Z from torch._inductor.utils import print_performance 2022-11-23T01:30:36.7335277Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7335472Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:30:36.7335586Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:30:36.7335590Z 2022-11-23T01:30:36.7335644Z ok (0.027s) 2022-11-23T01:30:36.7335790Z test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.066s) 2022-11-23T01:30:36.7335957Z test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.064s) 2022-11-23T01:30:36.7335962Z 2022-11-23T01:30:36.7336161Z ---------------------------------------------------------------------- 2022-11-23T01:30:36.7336237Z Ran 341 tests in 532.649s 2022-11-23T01:30:36.7336242Z 2022-11-23T01:30:36.7336312Z OK (skipped=16) 2022-11-23T01:30:36.7336317Z 2022-11-23T01:30:36.7336396Z Generating XML reports... 2022-11-23T01:30:36.7336708Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123012141.xml 2022-11-23T01:30:36.7336996Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123012141.xml 2022-11-23T01:30:36.7337304Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123012141.xml 2022-11-23T01:30:36.7337645Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123012141.xml 2022-11-23T01:30:36.7337653Z 2022-11-23T01:30:36.7338001Z ##[endgroup] 2022-11-23T01:30:36.7338327Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_u9zxk3n4) 2022-11-23T01:30:36.7338332Z 2022-11-23T01:30:37.1963733Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:37.2757613Z Ignoring disabled issues: [] 2022-11-23T01:30:37.2921350Z Running test_jit_llga_fuser ... [2022-11-23 01:30:37.291850] 2022-11-23T01:30:37.2923541Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_llga_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:37.292144] 2022-11-23T01:30:38.6645042Z 2022-11-23T01:30:38.6645531Z Expand the folded group to see the log file of test_jit_fuser_te 2022-11-23T01:30:38.6646664Z ##[group]PRINTING LOG FILE of test_jit_fuser_te (/var/lib/jenkins/workspace/test/test-reports/test_jit_fuser_te_84mmuma6) 2022-11-23T01:30:38.6647073Z CUDA not available, skipping tests 2022-11-23T01:30:38.6647272Z 2022-11-23T01:30:38.6647380Z Running tests... 2022-11-23T01:30:38.6648024Z ---------------------------------------------------------------------- 2022-11-23T01:30:38.6648543Z Test results will be stored in test-reports/python-unittest/test_jit_fuser_te 2022-11-23T01:30:38.6687974Z test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... ok (0.112s) 2022-11-23T01:30:38.6688958Z test_abs (__main__.TestTEFuserDynamic) ... ok (0.280s) 2022-11-23T01:30:38.6689641Z test_adaptive_avg_pool2d (__main__.TestTEFuserDynamic) ... ok (0.063s) 2022-11-23T01:30:38.6690353Z test_add_bool (__main__.TestTEFuserDynamic) ... ok (0.280s) 2022-11-23T01:30:38.6690985Z test_addcmul (__main__.TestTEFuserDynamic) ... ok (0.090s) 2022-11-23T01:30:38.6691766Z test_arg_configurations_smoke (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6693093Z test_autocast_down (__main__.TestTEFuserDynamic) ... skip: half-precision NNC fusion requires CUDA (0.000s) 2022-11-23T01:30:38.6694231Z test_autocast_up (__main__.TestTEFuserDynamic) ... skip: half-precision NNC fusion requires CUDA (0.000s) 2022-11-23T01:30:38.6694995Z test_batch_norm (__main__.TestTEFuserDynamic) ... ok (0.668s) 2022-11-23T01:30:38.6695674Z test_binary_div_ops (__main__.TestTEFuserDynamic) ... ok (2.521s) 2022-11-23T01:30:38.6696346Z test_binary_ops (__main__.TestTEFuserDynamic) ... ok (8.778s) 2022-11-23T01:30:38.6696985Z test_binary_pow (__main__.TestTEFuserDynamic) ... ok (0.810s) 2022-11-23T01:30:38.6697647Z test_binary_scalar_ops (__main__.TestTEFuserDynamic) ... ok (1.056s) 2022-11-23T01:30:38.6698576Z test_binary_tensor_scalar_ops (__main__.TestTEFuserDynamic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:30:38.6699432Z test_bitwise_ops (__main__.TestTEFuserDynamic) ... ok (1.937s) 2022-11-23T01:30:38.6700110Z test_broadcast (__main__.TestTEFuserDynamic) ... ok (0.235s) 2022-11-23T01:30:38.6700775Z test_cat_2k_args (__main__.TestTEFuserDynamic) ... ok (0.718s) 2022-11-23T01:30:38.6701458Z test_cat_graph_opt (__main__.TestTEFuserDynamic) ... ok (0.770s) 2022-11-23T01:30:38.6702221Z test_channels_last_dims_dynamic (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6703018Z test_checks_cat_inputs (__main__.TestTEFuserDynamic) ... ok (0.466s) 2022-11-23T01:30:38.6703790Z test_chunk (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6704630Z test_chunk_correctness (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6705495Z test_chunk_distributes (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6706408Z test_chunk_motion_deduplicates_inputs (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6707320Z test_chunk_mul_one (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6708160Z test_chunk_multiple (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:30:38.6708883Z test_clamp (__main__.TestTEFuserDynamic) ... ok (3.580s) 2022-11-23T01:30:38.6709527Z test_clamp_double (__main__.TestTEFuserDynamic) ... ok (0.142s) 2022-11-23T01:30:38.6710200Z test_clamp_int (__main__.TestTEFuserDynamic) ... ok (0.135s) 2022-11-23T01:30:38.6710869Z test_comparison_eq_ne (__main__.TestTEFuserDynamic) ... ok (0.294s) 2022-11-23T01:30:38.6711573Z test_comparison_ge_le (__main__.TestTEFuserDynamic) ... ok (0.289s) 2022-11-23T01:30:38.6712261Z test_comparison_gt_lt (__main__.TestTEFuserDynamic) ... ok (0.290s) 2022-11-23T01:30:38.6712931Z test_concat (__main__.TestTEFuserDynamic) ... ok (0.565s) 2022-11-23T01:30:38.6713568Z test_concat_invariant (__main__.TestTEFuserDynamic) ... ok (0.770s) 2022-11-23T01:30:38.6714378Z test_constant_chunk_shapes (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.002s) 2022-11-23T01:30:38.6715467Z test_conv2d (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s) 2022-11-23T01:30:38.6716567Z test_conv2d_depthwise (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s) 2022-11-23T01:30:38.6717414Z test_cuda_half (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6718118Z test_dims (__main__.TestTEFuserDynamic) ... ok (0.130s) 2022-11-23T01:30:38.6718878Z test_disabled (__main__.TestTEFuserDynamic) ... ok (0.006s) 2022-11-23T01:30:38.6719516Z test_div_bool (__main__.TestTEFuserDynamic) ... ok (0.136s) 2022-11-23T01:30:38.6720245Z test_dynamic_cat (__main__.TestTEFuserDynamic) ... ok (0.009s) 2022-11-23T01:30:38.6720891Z test_dynamic_shapes (__main__.TestTEFuserDynamic) ... ok (2.065s) 2022-11-23T01:30:38.6721575Z test_eq_unsqueeze_type_as (__main__.TestTEFuserDynamic) ... ok (0.310s) 2022-11-23T01:30:38.6722326Z test_erf (__main__.TestTEFuserDynamic) ... ok (0.001s) 2022-11-23T01:30:38.6723009Z test_exhaust_specializations (__main__.TestTEFuserDynamic) ... ok (0.030s) 2022-11-23T01:30:38.6723697Z test_exp (__main__.TestTEFuserDynamic) ... ok (0.091s) 2022-11-23T01:30:38.6724418Z test_fusion_reuse_multi_gpu (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6725347Z test_gelu (__main__.TestTEFuserDynamic) ... ok (0.002s) 2022-11-23T01:30:38.6725972Z test_hardsigmoid_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.269s) 2022-11-23T01:30:38.6726618Z test_hardswish_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.296s) 2022-11-23T01:30:38.6727298Z test_inlined_optimized_graph (__main__.TestTEFuserDynamic) ... ok (0.415s) 2022-11-23T01:30:38.6727934Z test_isnan (__main__.TestTEFuserDynamic) ... ok (0.672s) 2022-11-23T01:30:38.6728584Z test_kernel_cache_multi_gpu (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6729321Z test_lerp (__main__.TestTEFuserDynamic) ... ok (0.335s) 2022-11-23T01:30:38.6730502Z test_list_ops (__main__.TestTEFuserDynamic) ... skip: FIXME: fuser doesn't include ListConstruct nodes to the group causing a failure (0.001s) 2022-11-23T01:30:38.6731375Z test_lstm (__main__.TestTEFuserDynamic) ... ok (0.779s) 2022-11-23T01:30:38.6732011Z test_lstm_concat (__main__.TestTEFuserDynamic) ... ok (0.241s) 2022-11-23T01:30:38.6732735Z test_lstm_gates_permutations (__main__.TestTEFuserDynamic) ... ok (10.658s) 2022-11-23T01:30:38.6733460Z test_lstm_traced (__main__.TestTEFuserDynamic) ... ok (0.440s) 2022-11-23T01:30:38.6734197Z test_masked_fill (__main__.TestTEFuserDynamic) ... skip: Temporarily disabled (0.001s) 2022-11-23T01:30:38.6735236Z test_matmul (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.002s) 2022-11-23T01:30:38.6735898Z test_milstm (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s) 2022-11-23T01:30:38.6736286Z test_minmax (__main__.TestTEFuserDynamic) ... ok (1.153s) 2022-11-23T01:30:38.6736701Z test_minmax_int_ops (__main__.TestTEFuserDynamic) ... ok (0.812s) 2022-11-23T01:30:38.6737061Z test_mul_bool (__main__.TestTEFuserDynamic) ... ok (0.172s) 2022-11-23T01:30:38.6737438Z test_neg_pow (__main__.TestTEFuserDynamic) ... ok (0.144s) 2022-11-23T01:30:38.6737998Z test_nonzero_device_cuda (__main__.TestTEFuserDynamic) ... skip: needs non-zero device (0.001s) 2022-11-23T01:30:38.6738440Z test_nop (__main__.TestTEFuserDynamic) ... ok (0.001s) 2022-11-23T01:30:38.6739128Z test_profiler (__main__.TestTEFuserDynamic) ... STAGE:2022-11-23 01:29:55 11729:11729 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:30:38.6739853Z STAGE:2022-11-23 01:29:55 11729:11729 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:30:38.6740507Z STAGE:2022-11-23 01:29:55 11729:11729 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:30:38.6740880Z ok (0.077s) 2022-11-23T01:30:38.6741250Z test_rand_broadcast_cuda (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6741728Z test_rand_cuda (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6742173Z test_rand_diamond (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.000s) 2022-11-23T01:30:38.6742586Z test_relu (__main__.TestTEFuserDynamic) ... ok (0.140s) 2022-11-23T01:30:38.6743083Z test_relu_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.153s) 2022-11-23T01:30:38.6743520Z test_remove_output_used_only_in_size (__main__.TestTEFuserDynamic) ... ok (0.030s) 2022-11-23T01:30:38.6743924Z test_scalar (__main__.TestTEFuserDynamic) ... ok (0.051s) 2022-11-23T01:30:38.6744304Z test_scalar_arg (__main__.TestTEFuserDynamic) ... ok (0.507s) 2022-11-23T01:30:38.6744694Z test_scalar_only_inputs (__main__.TestTEFuserDynamic) ... ok (0.048s) 2022-11-23T01:30:38.6745176Z test_skip_grad_in_check (__main__.TestTEFuserDynamic) ... ok (0.160s) 2022-11-23T01:30:38.6745581Z test_small_constant (__main__.TestTEFuserDynamic) ... ok (0.300s) 2022-11-23T01:30:38.6745969Z test_sub_gt_and (__main__.TestTEFuserDynamic) ... ok (0.184s) 2022-11-23T01:30:38.6746327Z test_sum_dim (__main__.TestTEFuserDynamic) ... ok (0.276s) 2022-11-23T01:30:38.6746731Z test_sum_keepdim_cast (__main__.TestTEFuserDynamic) ... ok (0.140s) 2022-11-23T01:30:38.6747129Z test_sum_simple (__main__.TestTEFuserDynamic) ... ok (0.092s) 2022-11-23T01:30:38.6747529Z test_superslomo (__main__.TestTEFuserDynamic) ... ok (1.216s) 2022-11-23T01:30:38.6747913Z test_tensor_scalar_ops (__main__.TestTEFuserDynamic) ... ok (0.663s) 2022-11-23T01:30:38.6748322Z test_ternary_norm_ops (__main__.TestTEFuserDynamic) ... ok (0.429s) 2022-11-23T01:30:38.6748718Z test_ternary_ops (__main__.TestTEFuserDynamic) ... ok (0.673s) 2022-11-23T01:30:38.6749085Z test_threshold (__main__.TestTEFuserDynamic) ... ok (0.213s) 2022-11-23T01:30:38.6749487Z test_to_device (__main__.TestTEFuserDynamic) ... ok (0.150s) 2022-11-23T01:30:38.6749872Z test_to_dtype (__main__.TestTEFuserDynamic) ... ok (0.387s) 2022-11-23T01:30:38.6750246Z test_torch_to (__main__.TestTEFuserDynamic) ... ok (3.959s) 2022-11-23T01:30:38.6750638Z test_type_as_cat (__main__.TestTEFuserDynamic) ... ok (2.162s) 2022-11-23T01:30:38.6751023Z test_typecheck (__main__.TestTEFuserDynamic) ... ok (0.053s) 2022-11-23T01:30:38.6751501Z test_unary_ops (__main__.TestTEFuserDynamic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:30:38.6751961Z test_unrolled_cat (__main__.TestTEFuserDynamic) ... ok (0.013s) 2022-11-23T01:30:38.6752367Z test_unsqueeze_size_calculation (__main__.TestTEFuserDynamic) ... ok (0.359s) 2022-11-23T01:30:38.6752782Z test_unsqueeze_var_dim (__main__.TestTEFuserDynamic) ... ok (0.358s) 2022-11-23T01:30:38.6753841Z test_unsupported_dtypes (__main__.TestTEFuserDynamic) ... /var/lib/jenkins/workspace/test/test_jit_fuser_te.py:1187: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:30:38.6754567Z return v.to(dtype) 2022-11-23T01:30:38.6754806Z ok (0.036s) 2022-11-23T01:30:38.6755133Z test_where_and_typing (__main__.TestTEFuserDynamic) ... ok (0.319s) 2022-11-23T01:30:38.6755521Z test_where_ops (__main__.TestTEFuserDynamic) ... ok (2.705s) 2022-11-23T01:30:38.6756248Z test_with_strict_fusion (__main__.TestTEFuserDynamic) ... /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py:216: UserWarning: Only works in script mode 2022-11-23T01:30:38.6756755Z warnings.warn("Only works in script mode") 2022-11-23T01:30:38.6757030Z ok (0.175s) 2022-11-23T01:30:38.6757334Z test_zero_element_tensors (__main__.TestTEFuserDynamic) ... ok (0.094s) 2022-11-23T01:30:38.6757724Z test_abs (__main__.TestTEFuserStatic) ... ok (0.052s) 2022-11-23T01:30:38.6759882Z test_adaptive_avg_pool2d (__main__.TestTEFuserStatic) ... ok (0.062s) 2022-11-23T01:30:38.6760918Z test_add_bool (__main__.TestTEFuserStatic) ... ok (0.099s) 2022-11-23T01:30:38.6761302Z test_addcmul (__main__.TestTEFuserStatic) ... ok (0.042s) 2022-11-23T01:30:38.6761705Z test_arg_configurations_smoke (__main__.TestTEFuserStatic) ... ok (0.053s) 2022-11-23T01:30:38.6762342Z test_autocast_down (__main__.TestTEFuserStatic) ... skip: half-precision NNC fusion requires CUDA (0.001s) 2022-11-23T01:30:38.6763081Z test_autocast_up (__main__.TestTEFuserStatic) ... skip: half-precision NNC fusion requires CUDA (0.001s) 2022-11-23T01:30:38.6763558Z test_batch_norm (__main__.TestTEFuserStatic) ... ok (0.292s) 2022-11-23T01:30:38.6763978Z test_binary_div_ops (__main__.TestTEFuserStatic) ... ok (1.125s) 2022-11-23T01:30:38.6764368Z test_binary_ops (__main__.TestTEFuserStatic) ... ok (3.330s) 2022-11-23T01:30:38.6764952Z test_binary_pow (__main__.TestTEFuserStatic) ... ok (0.281s) 2022-11-23T01:30:38.6765486Z test_binary_scalar_ops (__main__.TestTEFuserStatic) ... ok (1.068s) 2022-11-23T01:30:38.6766049Z test_binary_tensor_scalar_ops (__main__.TestTEFuserStatic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:30:38.6766544Z test_bitwise_ops (__main__.TestTEFuserStatic) ... ok (0.712s) 2022-11-23T01:30:38.6766941Z test_broadcast (__main__.TestTEFuserStatic) ... ok (0.057s) 2022-11-23T01:30:38.6767325Z test_cat_2k_args (__main__.TestTEFuserStatic) ... ok (0.722s) 2022-11-23T01:30:38.6767690Z test_cat_graph_opt (__main__.TestTEFuserStatic) ... ok (0.078s) 2022-11-23T01:30:38.6768142Z test_channels_last_dims_dynamic (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6768603Z test_checks_cat_inputs (__main__.TestTEFuserStatic) ... ok (0.069s) 2022-11-23T01:30:38.6768987Z test_chunk (__main__.TestTEFuserStatic) ... ok (0.100s) 2022-11-23T01:30:38.6769362Z test_chunk_correctness (__main__.TestTEFuserStatic) ... ok (1.112s) 2022-11-23T01:30:38.6769775Z test_chunk_distributes (__main__.TestTEFuserStatic) ... ok (0.057s) 2022-11-23T01:30:38.6770218Z test_chunk_motion_deduplicates_inputs (__main__.TestTEFuserStatic) ... ok (0.097s) 2022-11-23T01:30:38.6770615Z test_chunk_mul_one (__main__.TestTEFuserStatic) ... ok (0.110s) 2022-11-23T01:30:38.6771020Z test_chunk_multiple (__main__.TestTEFuserStatic) ... ok (0.181s) 2022-11-23T01:30:38.6771421Z test_clamp (__main__.TestTEFuserStatic) ... ok (0.921s) 2022-11-23T01:30:38.6771789Z test_clamp_double (__main__.TestTEFuserStatic) ... ok (0.058s) 2022-11-23T01:30:38.6772193Z test_clamp_int (__main__.TestTEFuserStatic) ... ok (0.055s) 2022-11-23T01:30:38.6772594Z test_comparison_eq_ne (__main__.TestTEFuserStatic) ... ok (0.087s) 2022-11-23T01:30:38.6772999Z test_comparison_ge_le (__main__.TestTEFuserStatic) ... ok (0.086s) 2022-11-23T01:30:38.6773382Z test_comparison_gt_lt (__main__.TestTEFuserStatic) ... ok (0.085s) 2022-11-23T01:30:38.6773759Z test_concat (__main__.TestTEFuserStatic) ... ok (0.052s) 2022-11-23T01:30:38.6774145Z test_concat_invariant (__main__.TestTEFuserStatic) ... ok (0.080s) 2022-11-23T01:30:38.6775089Z test_constant_chunk_shapes (__main__.TestTEFuserStatic) ... /var/lib/jenkins/workspace/test/test_jit_fuser_te.py:2444: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. 2022-11-23T01:30:38.6775990Z r = torch.tensor(4) 2022-11-23T01:30:38.6776238Z ok (0.112s) 2022-11-23T01:30:38.6776551Z test_conv2d (__main__.TestTEFuserStatic) ... ok (0.023s) 2022-11-23T01:30:38.6776971Z test_conv2d_depthwise (__main__.TestTEFuserStatic) ... ok (0.892s) 2022-11-23T01:30:38.6777417Z test_cuda_half (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6777841Z test_dims (__main__.TestTEFuserStatic) ... ok (0.068s) 2022-11-23T01:30:38.6778227Z test_disabled (__main__.TestTEFuserStatic) ... ok (0.006s) 2022-11-23T01:30:38.6778602Z test_div_bool (__main__.TestTEFuserStatic) ... ok (0.037s) 2022-11-23T01:30:38.6778994Z test_dynamic_cat (__main__.TestTEFuserStatic) ... ok (0.009s) 2022-11-23T01:30:38.6779396Z test_dynamic_shapes (__main__.TestTEFuserStatic) ... ok (2.066s) 2022-11-23T01:30:38.6779789Z test_eq_unsqueeze_type_as (__main__.TestTEFuserStatic) ... ok (0.108s) 2022-11-23T01:30:38.6780274Z test_erf (__main__.TestTEFuserStatic) ... ok (0.001s) 2022-11-23T01:30:38.6780688Z test_exhaust_specializations (__main__.TestTEFuserStatic) ... ok (0.029s) 2022-11-23T01:30:38.6781090Z test_exp (__main__.TestTEFuserStatic) ... ok (0.046s) 2022-11-23T01:30:38.6781583Z test_fusion_reuse_multi_gpu (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6781994Z test_gelu (__main__.TestTEFuserStatic) ... ok (0.002s) 2022-11-23T01:30:38.6782430Z test_hardsigmoid_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.103s) 2022-11-23T01:30:38.6782827Z test_hardswish_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.121s) 2022-11-23T01:30:38.6783250Z test_inlined_optimized_graph (__main__.TestTEFuserStatic) ... ok (0.101s) 2022-11-23T01:30:38.6783638Z test_isnan (__main__.TestTEFuserStatic) ... ok (0.377s) 2022-11-23T01:30:38.6784109Z test_kernel_cache_multi_gpu (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6784559Z test_lerp (__main__.TestTEFuserStatic) ... ok (0.070s) 2022-11-23T01:30:38.6785238Z test_list_ops (__main__.TestTEFuserStatic) ... skip: FIXME: fuser doesn't include ListConstruct nodes to the group causing a failure (0.001s) 2022-11-23T01:30:38.6785715Z test_lstm (__main__.TestTEFuserStatic) ... ok (0.164s) 2022-11-23T01:30:38.6786081Z test_lstm_concat (__main__.TestTEFuserStatic) ... ok (0.166s) 2022-11-23T01:30:38.6786467Z test_lstm_gates_permutations (__main__.TestTEFuserStatic) ... ok (1.769s) 2022-11-23T01:30:38.6786908Z test_lstm_traced (__main__.TestTEFuserStatic) ... ok (0.144s) 2022-11-23T01:30:38.6787338Z test_masked_fill (__main__.TestTEFuserStatic) ... skip: Temporarily disabled (0.001s) 2022-11-23T01:30:38.6787755Z test_matmul (__main__.TestTEFuserStatic) ... ok (0.864s) 2022-11-23T01:30:38.6788108Z test_milstm (__main__.TestTEFuserStatic) ... ok (0.940s) 2022-11-23T01:30:38.6788473Z test_minmax (__main__.TestTEFuserStatic) ... ok (0.300s) 2022-11-23T01:30:38.6788889Z test_minmax_int_ops (__main__.TestTEFuserStatic) ... ok (0.311s) 2022-11-23T01:30:38.6789278Z test_mul_bool (__main__.TestTEFuserStatic) ... ok (0.038s) 2022-11-23T01:30:38.6789651Z test_neg_pow (__main__.TestTEFuserStatic) ... ok (0.140s) 2022-11-23T01:30:38.6790223Z test_nonzero_device_cuda (__main__.TestTEFuserStatic) ... skip: needs non-zero device (0.001s) 2022-11-23T01:30:38.6790640Z test_nop (__main__.TestTEFuserStatic) ... ok (0.001s) 2022-11-23T01:30:38.6791310Z test_profiler (__main__.TestTEFuserStatic) ... STAGE:2022-11-23 01:30:31 11729:11729 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:30:38.6792007Z STAGE:2022-11-23 01:30:31 11729:11729 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:30:38.6792648Z STAGE:2022-11-23 01:30:31 11729:11729 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:30:38.6792994Z ok (0.027s) 2022-11-23T01:30:38.6793354Z test_rand_broadcast_cuda (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6793827Z test_rand_cuda (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6794267Z test_rand_diamond (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:30:38.6794664Z test_relu (__main__.TestTEFuserStatic) ... ok (0.048s) 2022-11-23T01:30:38.6795033Z test_relu_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.060s) 2022-11-23T01:30:38.6795448Z test_remove_output_used_only_in_size (__main__.TestTEFuserStatic) ... ok (0.028s) 2022-11-23T01:30:38.6795843Z test_scalar (__main__.TestTEFuserStatic) ... ok (0.049s) 2022-11-23T01:30:38.6796236Z test_scalar_arg (__main__.TestTEFuserStatic) ... ok (0.090s) 2022-11-23T01:30:38.6796626Z test_scalar_only_inputs (__main__.TestTEFuserStatic) ... ok (0.060s) 2022-11-23T01:30:38.6797016Z test_skip_grad_in_check (__main__.TestTEFuserStatic) ... ok (0.029s) 2022-11-23T01:30:38.6797404Z test_small_constant (__main__.TestTEFuserStatic) ... ok (0.074s) 2022-11-23T01:30:38.6797869Z test_sub_gt_and (__main__.TestTEFuserStatic) ... ok (0.071s) 2022-11-23T01:30:38.6798239Z test_sum_dim (__main__.TestTEFuserStatic) ... ok (0.122s) 2022-11-23T01:30:38.6798608Z test_sum_keepdim_cast (__main__.TestTEFuserStatic) ... ok (0.064s) 2022-11-23T01:30:38.6798991Z test_sum_simple (__main__.TestTEFuserStatic) ... ok (0.059s) 2022-11-23T01:30:38.6799377Z test_superslomo (__main__.TestTEFuserStatic) ... ok (0.753s) 2022-11-23T01:30:38.6799890Z test_tensor_scalar_ops (__main__.TestTEFuserStatic) ... ok (0.114s) 2022-11-23T01:30:38.6800466Z test_ternary_norm_ops (__main__.TestTEFuserStatic) ... ok (0.220s) 2022-11-23T01:30:38.6800964Z test_ternary_ops (__main__.TestTEFuserStatic) ... ok (0.263s) 2022-11-23T01:30:38.6801411Z test_threshold (__main__.TestTEFuserStatic) ... ok (0.063s) 2022-11-23T01:30:38.6801799Z test_to_device (__main__.TestTEFuserStatic) ... ok (0.049s) 2022-11-23T01:30:38.6802162Z test_to_dtype (__main__.TestTEFuserStatic) ... ok (0.104s) 2022-11-23T01:30:38.6802530Z test_torch_to (__main__.TestTEFuserStatic) ... ok (0.884s) 2022-11-23T01:30:38.6802903Z test_type_as_cat (__main__.TestTEFuserStatic) ... ok (1.565s) 2022-11-23T01:30:38.6803296Z test_typecheck (__main__.TestTEFuserStatic) ... ok (0.059s) 2022-11-23T01:30:38.6803812Z test_unary_ops (__main__.TestTEFuserStatic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:30:38.6804340Z test_unrolled_cat (__main__.TestTEFuserStatic) ... ok (0.029s) 2022-11-23T01:30:38.6804961Z test_unsqueeze_size_calculation (__main__.TestTEFuserStatic) ... ok (0.087s) 2022-11-23T01:30:38.6805415Z test_unsqueeze_var_dim (__main__.TestTEFuserStatic) ... ok (0.227s) 2022-11-23T01:30:38.6805838Z test_unsupported_dtypes (__main__.TestTEFuserStatic) ... ok (0.048s) 2022-11-23T01:30:38.6806228Z test_where_and_typing (__main__.TestTEFuserStatic) ... ok (0.087s) 2022-11-23T01:30:38.6806634Z test_where_ops (__main__.TestTEFuserStatic) ... ok (0.678s) 2022-11-23T01:30:38.6807391Z test_with_strict_fusion (__main__.TestTEFuserStatic) ... /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py:216: UserWarning: Only works in script mode 2022-11-23T01:30:38.6807880Z warnings.warn("Only works in script mode") 2022-11-23T01:30:38.6808175Z ok (0.072s) 2022-11-23T01:30:38.6808501Z test_zero_element_tensors (__main__.TestTEFuserStatic) ... ok (0.045s) 2022-11-23T01:30:38.6808741Z 2022-11-23T01:30:38.6809051Z ---------------------------------------------------------------------- 2022-11-23T01:30:38.6809383Z Ran 207 tests in 86.454s 2022-11-23T01:30:38.6809542Z 2022-11-23T01:30:38.6809647Z OK (skipped=40) 2022-11-23T01:30:38.6809797Z 2022-11-23T01:30:38.6809913Z Generating XML reports... 2022-11-23T01:30:38.6810552Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-jit.test_fuser_common.TestFuserCommon-20221123012911.xml 2022-11-23T01:30:38.6811351Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestTEFuserDynamic-20221123012911.xml 2022-11-23T01:30:38.6812139Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestTEFuserStatic-20221123012911.xml 2022-11-23T01:30:38.6812467Z 2022-11-23T01:30:38.6812897Z ##[endgroup] 2022-11-23T01:30:38.6813459Z FINISHED PRINTING LOG FILE of test_jit_fuser_te (/var/lib/jenkins/workspace/test/test-reports/test_jit_fuser_te_84mmuma6) 2022-11-23T01:30:38.6813778Z 2022-11-23T01:30:40.1057082Z 2022-11-23T01:30:40.1057531Z Expand the folded group to see the log file of test_jit_llga_fuser 2022-11-23T01:30:40.1058293Z ##[group]PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_kr9dkw4q) 2022-11-23T01:30:40.1058572Z 2022-11-23T01:30:40.1058634Z Running tests... 2022-11-23T01:30:40.1059039Z ---------------------------------------------------------------------- 2022-11-23T01:30:40.1059521Z test_dynamo_aot_ts_onednn (__main__.TestDynamoAOT) ... Test results will be stored in test-reports/python-unittest/test_jit_llga_fuser 2022-11-23T01:30:40.1060105Z skip: Enable when integration with dynamo aot_autograd is more stable (0.001s) 2022-11-23T01:30:40.1060415Z test_context_manager (__main__.TestEnableDisableLlgaFuser) ... ok (0.065s) 2022-11-23T01:30:40.1060715Z test_vision_alexnet_bfloat16 (__main__.TestModel) ... ok (0.013s) 2022-11-23T01:30:40.1060990Z test_vision_alexnet_float32 (__main__.TestModel) ... ok (0.009s) 2022-11-23T01:30:40.1061251Z test_vision_densenet121_bfloat16 (__main__.TestModel) ... ok (0.009s) 2022-11-23T01:30:40.1061587Z test_vision_densenet121_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1061861Z test_vision_densenet161_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1062134Z test_vision_densenet161_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1062395Z test_vision_densenet169_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1062665Z test_vision_densenet169_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1062947Z test_vision_densenet201_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1063211Z test_vision_densenet201_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1063503Z test_vision_efficientnet_b0_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1063788Z test_vision_efficientnet_b0_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1064062Z test_vision_efficientnet_b1_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1064349Z test_vision_efficientnet_b1_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1064630Z test_vision_efficientnet_b2_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1064908Z test_vision_efficientnet_b2_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1065179Z test_vision_efficientnet_b3_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1065461Z test_vision_efficientnet_b3_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1065745Z test_vision_efficientnet_b4_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1066013Z test_vision_efficientnet_b4_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1066291Z test_vision_efficientnet_b5_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1066571Z test_vision_efficientnet_b5_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1066851Z test_vision_efficientnet_b6_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1067117Z test_vision_efficientnet_b6_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1067400Z test_vision_efficientnet_b7_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1067679Z test_vision_efficientnet_b7_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1067942Z test_vision_googlenet_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1068218Z test_vision_googlenet_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1068493Z test_vision_mnasnet1_0_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1068763Z test_vision_mnasnet1_0_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1069022Z test_vision_mobilenet_v2_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1069300Z test_vision_mobilenet_v2_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1069581Z test_vision_mobilenet_v3_large_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1069862Z test_vision_mobilenet_v3_large_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1070139Z test_vision_regnet_y_400mf_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1070411Z test_vision_regnet_y_400mf_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1070683Z test_vision_resnet50_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1070942Z test_vision_resnet50_float32 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1071252Z test_vision_resnext101_32x8d_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1071533Z test_vision_resnext101_32x8d_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1071796Z test_vision_resnext50_32x4d_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1072070Z test_vision_resnext50_32x4d_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1072352Z test_vision_shufflenet_v2_x1_0_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1072658Z test_vision_shufflenet_v2_x1_0_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1072941Z test_vision_squeezenet1_0_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1073219Z test_vision_squeezenet1_0_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1073485Z test_vision_vgg16_bfloat16 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1073729Z test_vision_vgg16_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1074002Z test_vision_wide_resnet50_2_bfloat16 (__main__.TestModel) ... ok (0.008s) 2022-11-23T01:30:40.1074276Z test_vision_wide_resnet50_2_float32 (__main__.TestModel) ... ok (0.007s) 2022-11-23T01:30:40.1074432Z 2022-11-23T01:30:40.1074632Z ---------------------------------------------------------------------- 2022-11-23T01:30:40.1074873Z Ran 52 tests in 0.456s 2022-11-23T01:30:40.1074986Z 2022-11-23T01:30:40.1075062Z OK (skipped=1) 2022-11-23T01:30:40.1075167Z 2022-11-23T01:30:40.1075251Z Generating XML reports... 2022-11-23T01:30:40.1075701Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123013039.xml 2022-11-23T01:30:40.1076230Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123013039.xml 2022-11-23T01:30:40.1076720Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123013039.xml 2022-11-23T01:30:40.1076942Z 2022-11-23T01:30:40.1077185Z ##[endgroup] 2022-11-23T01:30:40.1077576Z FINISHED PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_kr9dkw4q) 2022-11-23T01:30:40.1077796Z 2022-11-23T01:30:40.6419615Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:40.7196476Z Ignoring disabled issues: [] 2022-11-23T01:30:40.7360200Z Running test_jiterator ... [2022-11-23 01:30:40.735751] 2022-11-23T01:30:40.7362574Z Executing ['/opt/conda/bin/python', '-bb', 'test_jiterator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:40.736040] 2022-11-23T01:30:42.1294195Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:42.1894269Z Ignoring disabled issues: [] 2022-11-23T01:30:42.2058329Z Running test_license ... [2022-11-23 01:30:42.205501] 2022-11-23T01:30:42.2060152Z Executing ['/opt/conda/bin/python', '-bb', 'test_license.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:42.205777] 2022-11-23T01:30:42.8449680Z 2022-11-23T01:30:42.8450296Z Expand the folded group to see the log file of test_jiterator 2022-11-23T01:30:42.8451767Z ##[group]PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_0q8h2b_o) 2022-11-23T01:30:42.8452550Z CUDA not available, skipping tests 2022-11-23T01:30:42.8452871Z 2022-11-23T01:30:42.8453029Z Running tests... 2022-11-23T01:30:42.8453841Z ---------------------------------------------------------------------- 2022-11-23T01:30:42.8454278Z 2022-11-23T01:30:42.8454740Z ---------------------------------------------------------------------- 2022-11-23T01:30:42.8455303Z Ran 0 tests in 0.000s 2022-11-23T01:30:42.8455561Z 2022-11-23T01:30:42.8455703Z OK 2022-11-23T01:30:42.8455920Z 2022-11-23T01:30:42.8456118Z Generating XML reports... 2022-11-23T01:30:42.8456903Z Test results will be stored in test-reports/python-unittest/test_jiterator 2022-11-23T01:30:42.8457346Z 2022-11-23T01:30:42.8457862Z ##[endgroup] 2022-11-23T01:30:42.8459010Z FINISHED PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_0q8h2b_o) 2022-11-23T01:30:42.8459531Z 2022-11-23T01:30:44.2959364Z 2022-11-23T01:30:44.2959888Z Expand the folded group to see the log file of test_license 2022-11-23T01:30:44.2960951Z ##[group]PRINTING LOG FILE of test_license (/var/lib/jenkins/workspace/test/test-reports/test_license_ojhgpvge) 2022-11-23T01:30:44.2961605Z 2022-11-23T01:30:44.2961738Z Running tests... 2022-11-23T01:30:44.2962400Z ---------------------------------------------------------------------- 2022-11-23T01:30:44.2962779Z Test results will be stored in test-reports/python-unittest/test_license 2022-11-23T01:30:44.2963061Z test_distinfo_license (__main__.TestLicense) 2022-11-23T01:30:44.2963346Z If run when pytorch is installed via a wheel, the license will be in ... ok (0.298s) 2022-11-23T01:30:44.2963679Z test_license_for_wheel (__main__.TestLicense) ... skip: can only be run in a source tree (0.000s) 2022-11-23T01:30:44.2963859Z 2022-11-23T01:30:44.2964057Z ---------------------------------------------------------------------- 2022-11-23T01:30:44.2964302Z Ran 2 tests in 0.299s 2022-11-23T01:30:44.2964414Z 2022-11-23T01:30:44.2964486Z OK (skipped=1) 2022-11-23T01:30:44.2964593Z 2022-11-23T01:30:44.2964666Z Generating XML reports... 2022-11-23T01:30:44.2965255Z Generated XML report: test-reports/python-unittest/test_license/TEST-TestLicense-20221123013043.xml 2022-11-23T01:30:44.2965477Z 2022-11-23T01:30:44.2965713Z ##[endgroup] 2022-11-23T01:30:44.2966069Z FINISHED PRINTING LOG FILE of test_license (/var/lib/jenkins/workspace/test/test-reports/test_license_ojhgpvge) 2022-11-23T01:30:44.2966279Z 2022-11-23T01:30:44.8255950Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:44.9031335Z Ignoring disabled issues: [] 2022-11-23T01:30:44.9196585Z Running test_logging ... [2022-11-23 01:30:44.919280] 2022-11-23T01:30:44.9197479Z Executing ['/opt/conda/bin/python', '-bb', 'test_logging.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:44.919523] 2022-11-23T01:30:46.2980253Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:46.3576306Z Ignoring disabled issues: [] 2022-11-23T01:30:46.3741588Z Running test_masked ... [2022-11-23 01:30:46.373839] 2022-11-23T01:30:46.3743453Z Executing ['/opt/conda/bin/python', '-bb', 'test_masked.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:46.374123] 2022-11-23T01:30:48.9562527Z 2022-11-23T01:30:48.9563427Z Expand the folded group to see the log file of test_logging 2022-11-23T01:30:48.9564497Z ##[group]PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_4ovpdi5i) 2022-11-23T01:30:48.9565078Z 2022-11-23T01:30:48.9565214Z Running tests... 2022-11-23T01:30:48.9565863Z ---------------------------------------------------------------------- 2022-11-23T01:30:48.9566311Z Test results will be stored in test-reports/python-unittest/test_logging 2022-11-23T01:30:48.9566581Z testApiUsage (__main__.LoggingTest) 2022-11-23T01:30:48.9566847Z This test verifies that api usage logging is not triggered via static ... ok (2.214s) 2022-11-23T01:30:48.9567026Z 2022-11-23T01:30:48.9567224Z ---------------------------------------------------------------------- 2022-11-23T01:30:48.9567463Z Ran 1 test in 2.214s 2022-11-23T01:30:48.9567576Z 2022-11-23T01:30:48.9567631Z OK 2022-11-23T01:30:48.9567724Z 2022-11-23T01:30:48.9567807Z Generating XML reports... 2022-11-23T01:30:48.9568210Z Generated XML report: test-reports/python-unittest/test_logging/TEST-LoggingTest-20221123013046.xml 2022-11-23T01:30:48.9568430Z 2022-11-23T01:30:48.9568649Z ##[endgroup] 2022-11-23T01:30:48.9569021Z FINISHED PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_4ovpdi5i) 2022-11-23T01:30:48.9569229Z 2022-11-23T01:30:49.1404197Z 2022-11-23T01:30:49.1404683Z Expand the folded group to see the log file of test_masked 2022-11-23T01:30:49.1406112Z ##[group]PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_q6_i_gc7) 2022-11-23T01:30:49.1406357Z 2022-11-23T01:30:49.1406455Z Running tests... 2022-11-23T01:30:49.1406875Z ---------------------------------------------------------------------- 2022-11-23T01:30:49.1407048Z 2022-11-23T01:30:49.1407301Z ---------------------------------------------------------------------- 2022-11-23T01:30:49.1407599Z Ran 0 tests in 0.000s 2022-11-23T01:30:49.1407713Z 2022-11-23T01:30:49.1407773Z OK 2022-11-23T01:30:49.1407864Z 2022-11-23T01:30:49.1407977Z Generating XML reports... 2022-11-23T01:30:49.1408315Z Test results will be stored in test-reports/python-unittest/test_masked 2022-11-23T01:30:49.1408493Z 2022-11-23T01:30:49.1408762Z ##[endgroup] 2022-11-23T01:30:49.1409146Z FINISHED PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_q6_i_gc7) 2022-11-23T01:30:49.1409353Z 2022-11-23T01:30:51.0075085Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:51.0688015Z Ignoring disabled issues: [] 2022-11-23T01:30:51.0853507Z Running test_maskedtensor ... [2022-11-23 01:30:51.085059] 2022-11-23T01:30:51.0856156Z Executing ['/opt/conda/bin/python', '-bb', 'test_maskedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:51.085323] 2022-11-23T01:30:51.1578104Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:51.2179575Z Ignoring disabled issues: [] 2022-11-23T01:30:51.2347732Z Running test_matmul_cuda ... [2022-11-23 01:30:51.234453] 2022-11-23T01:30:51.2349332Z Executing ['/opt/conda/bin/python', '-bb', 'test_matmul_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:51.234712] 2022-11-23T01:30:53.3461954Z 2022-11-23T01:30:53.3462523Z Expand the folded group to see the log file of test_matmul_cuda 2022-11-23T01:30:53.3463834Z ##[group]PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_dr7cf8eg) 2022-11-23T01:30:53.3464258Z 2022-11-23T01:30:53.3464374Z Running tests... 2022-11-23T01:30:53.3465035Z ---------------------------------------------------------------------- 2022-11-23T01:30:53.3465374Z 2022-11-23T01:30:53.3465745Z ---------------------------------------------------------------------- 2022-11-23T01:30:53.3466211Z Ran 0 tests in 0.000s 2022-11-23T01:30:53.3466420Z 2022-11-23T01:30:53.3466535Z OK 2022-11-23T01:30:53.3466707Z 2022-11-23T01:30:53.3466863Z Generating XML reports... 2022-11-23T01:30:53.3467536Z Test results will be stored in test-reports/python-unittest/test_matmul_cuda 2022-11-23T01:30:53.3467905Z 2022-11-23T01:30:53.3468330Z ##[endgroup] 2022-11-23T01:30:53.3469149Z FINISHED PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_dr7cf8eg) 2022-11-23T01:30:53.3469554Z 2022-11-23T01:30:54.2992592Z 2022-11-23T01:30:54.2993145Z Expand the folded group to see the log file of test_maskedtensor 2022-11-23T01:30:54.2994112Z ##[group]PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor_mm1d3dke) 2022-11-23T01:30:54.2994462Z 2022-11-23T01:30:54.2994560Z Running tests... 2022-11-23T01:30:54.2995166Z ---------------------------------------------------------------------- 2022-11-23T01:30:54.2998092Z Test results will be stored in test-reports/python-unittest/test_maskedtensor 2022-11-23T01:30:54.2999736Z test_binary_fn_aten_add (__main__.TestBinary) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-11-23T01:30:54.3000641Z warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage " 2022-11-23T01:30:54.3000865Z ok (0.004s) 2022-11-23T01:30:54.3001298Z test_binary_fn_aten_arctan2 (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3001579Z test_binary_fn_aten_atan2 (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3001870Z test_binary_fn_aten_bitwise_and (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3002177Z test_binary_fn_aten_bitwise_left_shift (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3002541Z test_binary_fn_aten_bitwise_or (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3002937Z test_binary_fn_aten_bitwise_right_shift (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3003228Z test_binary_fn_aten_bitwise_xor (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3003533Z test_binary_fn_aten_div (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3003801Z test_binary_fn_aten_divide (__main__.TestBinary) ... ok (0.003s) 2022-11-23T01:30:54.3004063Z test_binary_fn_aten_eq (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3004384Z test_binary_fn_aten_floor_divide (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3004648Z test_binary_fn_aten_fmax (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3005093Z test_binary_fn_aten_fmin (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3005354Z test_binary_fn_aten_fmod (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3005600Z test_binary_fn_aten_ge (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3005920Z test_binary_fn_aten_greater (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3006197Z test_binary_fn_aten_greater_equal (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3006507Z test_binary_fn_aten_gt (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3006765Z test_binary_fn_aten_le (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3007021Z test_binary_fn_aten_less (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3007333Z test_binary_fn_aten_less_equal (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3007604Z test_binary_fn_aten_logaddexp (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3007890Z test_binary_fn_aten_logaddexp2 (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3008202Z test_binary_fn_aten_lt (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3008453Z test_binary_fn_aten_maximum (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3008768Z test_binary_fn_aten_minimum (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3009039Z test_binary_fn_aten_mul (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3009296Z test_binary_fn_aten_multiply (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3009612Z test_binary_fn_aten_ne (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3009877Z test_binary_fn_aten_nextafter (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3010149Z test_binary_fn_aten_not_equal (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3010462Z test_binary_fn_aten_remainder (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3010730Z test_binary_fn_aten_sub (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3011041Z test_binary_fn_aten_subtract (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3011308Z test_binary_fn_aten_true_divide (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3011587Z test_inplace_binary_fn_aten_add_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3011921Z test_inplace_binary_fn_aten_arctan2_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3012211Z test_inplace_binary_fn_aten_atan2_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3012533Z test_inplace_binary_fn_aten_bitwise_and_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3012848Z test_inplace_binary_fn_aten_bitwise_left_shift_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3013155Z test_inplace_binary_fn_aten_bitwise_or_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3013572Z test_inplace_binary_fn_aten_bitwise_right_shift_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3013904Z test_inplace_binary_fn_aten_bitwise_xor_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3014243Z test_inplace_binary_fn_aten_div_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3014526Z test_inplace_binary_fn_aten_divide_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3014841Z test_inplace_binary_fn_aten_eq_ (__main__.TestBinary) ... ok (0.011s) 2022-11-23T01:30:54.3015190Z test_inplace_binary_fn_aten_floor_divide_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3015484Z test_inplace_binary_fn_aten_fmod_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3015796Z test_inplace_binary_fn_aten_ge_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3016076Z test_inplace_binary_fn_aten_greater_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3016424Z test_inplace_binary_fn_aten_greater_equal_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3016704Z test_inplace_binary_fn_aten_gt_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3016977Z test_inplace_binary_fn_aten_le_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3017304Z test_inplace_binary_fn_aten_less_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3017591Z test_inplace_binary_fn_aten_less_equal_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3017904Z test_inplace_binary_fn_aten_lt_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3018183Z test_inplace_binary_fn_aten_mul_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3018467Z test_inplace_binary_fn_aten_multiply_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3018790Z test_inplace_binary_fn_aten_ne_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3019072Z test_inplace_binary_fn_aten_nextafter_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3019418Z test_inplace_binary_fn_aten_not_equal_ (__main__.TestBinary) ... ok (0.010s) 2022-11-23T01:30:54.3019714Z test_inplace_binary_fn_aten_remainder_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3019986Z test_inplace_binary_fn_aten_sub_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3020324Z test_inplace_binary_fn_aten_subtract_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3020618Z test_inplace_binary_fn_aten_true_divide_ (__main__.TestBinary) ... ok (0.002s) 2022-11-23T01:30:54.3020942Z test_masks_match_fn_name_add (__main__.TestBinary) ... ok (0.001s) 2022-11-23T01:30:54.3021214Z test_masks_match_fn_name_add_ (__main__.TestBinary) ... ok (0.001s) 2022-11-23T01:30:54.3021469Z test_all (__main__.TestReductions) ... ok (0.003s) 2022-11-23T01:30:54.3021766Z test_amax (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3022511Z test_amax_grad (__main__.TestReductions) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-11-23T01:30:54.3023038Z warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. " 2022-11-23T01:30:54.3023341Z ok (0.003s) 2022-11-23T01:30:54.3023532Z test_amin (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3023781Z test_amin_grad (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3024090Z test_grad_dtype (__main__.TestReductions) ... ok (0.003s) 2022-11-23T01:30:54.3024715Z test_max_not_implemented (__main__.TestReductions) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:299: UserWarning: max is not implemented in __torch_dispatch__ for MaskedTensor. 2022-11-23T01:30:54.3025282Z If you would like this operator to be supported, please file an issue for a feature request at https://github.com/pytorch/maskedtensor/issues with a minimal reproducible code snippet. 2022-11-23T01:30:54.3025884Z In the case that the semantics for the operator are not trivial, it would be appreciated to also include a proposal for the semantics. 2022-11-23T01:30:54.3026233Z warnings.warn(msg) 2022-11-23T01:30:54.3026409Z ok (0.001s) 2022-11-23T01:30:54.3026602Z test_mean (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3026872Z test_mean_dim_grad (__main__.TestReductions) ... ok (0.003s) 2022-11-23T01:30:54.3027156Z test_mean_grad_case_1a (__main__.TestReductions) 2022-11-23T01:30:54.3028046Z values.requires_grad = True ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-11-23T01:30:54.3028639Z warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage " 2022-11-23T01:30:54.3029292Z /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-11-23T01:30:54.3029769Z warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. " 2022-11-23T01:30:54.3030019Z ok (0.007s) 2022-11-23T01:30:54.3030210Z test_mean_grad_case_1b (__main__.TestReductions) 2022-11-23T01:30:54.3030450Z values.requires_grad = False ... ok (0.003s) 2022-11-23T01:30:54.3030689Z test_mean_grad_case_1c (__main__.TestReductions) 2022-11-23T01:30:54.3031515Z values.requires_grad = True ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-11-23T01:30:54.3032104Z warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage " 2022-11-23T01:30:54.3032339Z ok (0.005s) 2022-11-23T01:30:54.3032540Z test_mean_grad_case_1d (__main__.TestReductions) 2022-11-23T01:30:54.3032763Z values.requires_grad = False ... ok (0.001s) 2022-11-23T01:30:54.3032997Z test_mean_grad_case_1e (__main__.TestReductions) 2022-11-23T01:30:54.3033622Z values.requires_grad = True ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-11-23T01:30:54.3034112Z warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. " 2022-11-23T01:30:54.3034363Z ok (0.006s) 2022-11-23T01:30:54.3034565Z test_mean_grad_case_1f (__main__.TestReductions) 2022-11-23T01:30:54.3035423Z values.requires_grad = False ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project. 2022-11-23T01:30:54.3035991Z warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage " 2022-11-23T01:30:54.3036226Z ok (0.001s) 2022-11-23T01:30:54.3036431Z test_prod (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3037075Z test_prod_grad (__main__.TestReductions) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach() 2022-11-23T01:30:54.3037579Z warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. " 2022-11-23T01:30:54.3037831Z ok (0.002s) 2022-11-23T01:30:54.3038033Z test_sum (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3038312Z test_sum_grad (__main__.TestReductions) ... ok (0.002s) 2022-11-23T01:30:54.3038577Z test_inplace_unary_fn_aten_abs_ (__main__.TestUnary) ... ok (0.002s) 2022-11-23T01:30:54.3038856Z test_inplace_unary_fn_aten_absolute_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3039139Z test_inplace_unary_fn_aten_acos_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3039403Z test_inplace_unary_fn_aten_acosh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3039717Z test_inplace_unary_fn_aten_arccos_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3040081Z test_inplace_unary_fn_aten_arccosh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3040355Z test_inplace_unary_fn_aten_arcsin_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3040632Z test_inplace_unary_fn_aten_arcsinh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3040910Z test_inplace_unary_fn_aten_arctan_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3041190Z test_inplace_unary_fn_aten_arctanh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3041456Z test_inplace_unary_fn_aten_asin_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3041734Z test_inplace_unary_fn_aten_asinh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3042009Z test_inplace_unary_fn_aten_atan_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3042325Z test_inplace_unary_fn_aten_atanh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3042610Z test_inplace_unary_fn_aten_bitwise_not_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3042890Z test_inplace_unary_fn_aten_ceil_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3043149Z test_inplace_unary_fn_aten_clamp_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3043422Z test_inplace_unary_fn_aten_clip_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3043709Z test_inplace_unary_fn_aten_conj_physical_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3043997Z test_inplace_unary_fn_aten_cos_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3044255Z test_inplace_unary_fn_aten_cosh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3044533Z test_inplace_unary_fn_aten_deg2rad_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3045027Z test_inplace_unary_fn_aten_digamma_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3045296Z test_inplace_unary_fn_aten_erf_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3045573Z test_inplace_unary_fn_aten_erfc_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3045854Z test_inplace_unary_fn_aten_erfinv_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3046133Z test_inplace_unary_fn_aten_exp2_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3046391Z test_inplace_unary_fn_aten_exp_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3046669Z test_inplace_unary_fn_aten_expm1_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3046946Z test_inplace_unary_fn_aten_fix_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3047210Z test_inplace_unary_fn_aten_floor_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3047486Z test_inplace_unary_fn_aten_frac_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3047759Z test_inplace_unary_fn_aten_i0_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3048033Z test_inplace_unary_fn_aten_lgamma_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3048301Z test_inplace_unary_fn_aten_log10_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3048575Z test_inplace_unary_fn_aten_log1p_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3048851Z test_inplace_unary_fn_aten_log2_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3049113Z test_inplace_unary_fn_aten_log_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3049390Z test_inplace_unary_fn_aten_logit_ (__main__.TestUnary) ... ok (0.002s) 2022-11-23T01:30:54.3049748Z test_inplace_unary_fn_aten_nan_to_num_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3050017Z test_inplace_unary_fn_aten_neg_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3050293Z test_inplace_unary_fn_aten_negative_ (__main__.TestUnary) ... ok (0.002s) 2022-11-23T01:30:54.3050570Z test_inplace_unary_fn_aten_pow_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3050849Z test_inplace_unary_fn_aten_rad2deg_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3051187Z test_inplace_unary_fn_aten_reciprocal_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3051470Z test_inplace_unary_fn_aten_round_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3051745Z test_inplace_unary_fn_aten_rsqrt_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3052003Z test_inplace_unary_fn_aten_sgn_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3052277Z test_inplace_unary_fn_aten_sigmoid_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3052557Z test_inplace_unary_fn_aten_sign_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3052832Z test_inplace_unary_fn_aten_sin_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3053092Z test_inplace_unary_fn_aten_sinc_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3053367Z test_inplace_unary_fn_aten_sinh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3053640Z test_inplace_unary_fn_aten_sqrt_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3053909Z test_inplace_unary_fn_aten_square_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3054185Z test_inplace_unary_fn_aten_tan_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3054459Z test_inplace_unary_fn_aten_tanh_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3054732Z test_inplace_unary_fn_aten_trunc_ (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3054985Z test_unary_fn_aten_abs (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3055244Z test_unary_fn_aten_absolute (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3055568Z test_unary_fn_aten_acos (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3055817Z test_unary_fn_aten_acosh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3056075Z test_unary_fn_aten_angle (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3056333Z test_unary_fn_aten_arccos (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3056581Z test_unary_fn_aten_arccosh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3056846Z test_unary_fn_aten_arcsin (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3057107Z test_unary_fn_aten_arcsinh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3057370Z test_unary_fn_aten_arctan (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3057611Z test_unary_fn_aten_arctanh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3057871Z test_unary_fn_aten_asin (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3058126Z test_unary_fn_aten_asinh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3058369Z test_unary_fn_aten_atan (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3058626Z test_unary_fn_aten_atanh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3058892Z test_unary_fn_aten_bitwise_not (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3059143Z test_unary_fn_aten_ceil (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3059406Z test_unary_fn_aten_clamp (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3059663Z test_unary_fn_aten_clip (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3059929Z test_unary_fn_aten_conj_physical (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3060183Z test_unary_fn_aten_cos (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3060437Z test_unary_fn_aten_cosh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3060693Z test_unary_fn_aten_deg2rad (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3060978Z test_unary_fn_aten_digamma (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3061243Z test_unary_fn_aten_erf (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3061494Z test_unary_fn_aten_erfc (__main__.TestUnary) ... ok (0.002s) 2022-11-23T01:30:54.3061738Z test_unary_fn_aten_erfinv (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3061995Z test_unary_fn_aten_exp (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3062250Z test_unary_fn_aten_exp2 (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3062538Z test_unary_fn_aten_expm1 (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3062778Z test_unary_fn_aten_fix (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3063033Z test_unary_fn_aten_floor (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3063288Z test_unary_fn_aten_frac (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3063525Z test_unary_fn_aten_i0 (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3063776Z test_unary_fn_aten_isnan (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3064034Z test_unary_fn_aten_lgamma (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3064277Z test_unary_fn_aten_log (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3064529Z test_unary_fn_aten_log10 (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3064787Z test_unary_fn_aten_log1p (__main__.TestUnary) ... ok (0.002s) 2022-11-23T01:30:54.3065040Z test_unary_fn_aten_log2 (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3065284Z test_unary_fn_aten_logit (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3065545Z test_unary_fn_aten_nan_to_num (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3065806Z test_unary_fn_aten_neg (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3066052Z test_unary_fn_aten_negative (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3066316Z test_unary_fn_aten_positive (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3066578Z test_unary_fn_aten_pow (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3066832Z test_unary_fn_aten_rad2deg (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3067087Z test_unary_fn_aten_reciprocal (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3067351Z test_unary_fn_aten_round (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3067604Z test_unary_fn_aten_rsqrt (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3067843Z test_unary_fn_aten_sgn (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3068101Z test_unary_fn_aten_sigmoid (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3068356Z test_unary_fn_aten_sign (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3068599Z test_unary_fn_aten_signbit (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3068855Z test_unary_fn_aten_sin (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3069105Z test_unary_fn_aten_sinc (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3069360Z test_unary_fn_aten_sinh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3069598Z test_unary_fn_aten_sqrt (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3069851Z test_unary_fn_aten_square (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3070107Z test_unary_fn_aten_tan (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3070348Z test_unary_fn_aten_tanh (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3070603Z test_unary_fn_aten_trunc (__main__.TestUnary) ... ok (0.001s) 2022-11-23T01:30:54.3070753Z 2022-11-23T01:30:54.3070989Z ---------------------------------------------------------------------- 2022-11-23T01:30:54.3071219Z Ran 207 tests in 0.442s 2022-11-23T01:30:54.3071336Z 2022-11-23T01:30:54.3071396Z OK 2022-11-23T01:30:54.3071486Z 2022-11-23T01:30:54.3071569Z Generating XML reports... 2022-11-23T01:30:54.3071973Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestBinary-20221123013053.xml 2022-11-23T01:30:54.3072498Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestReductions-20221123013053.xml 2022-11-23T01:30:54.3072991Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestUnary-20221123013053.xml 2022-11-23T01:30:54.3073208Z 2022-11-23T01:30:54.3073525Z ##[endgroup] 2022-11-23T01:30:54.3073910Z FINISHED PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor_mm1d3dke) 2022-11-23T01:30:54.3074133Z 2022-11-23T01:30:55.3574756Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:55.4347260Z Ignoring disabled issues: [] 2022-11-23T01:30:55.4513837Z Running test_meta ... [2022-11-23 01:30:55.451069] 2022-11-23T01:30:55.4515864Z Executing ['/opt/conda/bin/python', '-bb', 'test_meta.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:55.451335] 2022-11-23T01:30:56.3409888Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:30:56.4012667Z Ignoring disabled issues: [] 2022-11-23T01:30:56.4181784Z Running test_mkl_verbose ... [2022-11-23 01:30:56.417862] 2022-11-23T01:30:56.4184130Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkl_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:56.418164] 2022-11-23T01:30:58.2382002Z 2022-11-23T01:30:58.2382522Z Expand the folded group to see the log file of test_meta 2022-11-23T01:30:58.2383536Z ##[group]PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_f8ltshqw) 2022-11-23T01:30:58.2383766Z 2022-11-23T01:30:58.2383829Z Running tests... 2022-11-23T01:30:58.2384229Z ---------------------------------------------------------------------- 2022-11-23T01:30:58.2384605Z Test results will be stored in test-reports/python-unittest/test_meta 2022-11-23T01:30:58.2384904Z test_channels_last (__main__.TestMetaConverter) ... ok (0.003s) 2022-11-23T01:30:58.2385178Z test_channels_last_leaf (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2385482Z test_channels_last_non_leaf (__main__.TestMetaConverter) ... ok (0.002s) 2022-11-23T01:30:58.2386207Z test_complex_noncontiguous_bug (__main__.TestMetaConverter) ... /var/lib/jenkins/workspace/test/test_meta.py:232: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:30:58.2386709Z x = torch.randn((2, 2, 4, 9), dtype=torch.complex32)[:, 0, :, :] 2022-11-23T01:30:58.2386910Z ok (0.002s) 2022-11-23T01:30:58.2387151Z test_empty_strided_non_dense_leaf (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2387433Z test_imag (__main__.TestMetaConverter) ... ok (0.002s) 2022-11-23T01:30:58.2387675Z test_leaf (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2387932Z test_non_leaf (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2388662Z test_non_leaf_torture (__main__.TestMetaConverter) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:30:58.2389156Z warnings.warn(message, UserWarning) 2022-11-23T01:30:58.2389339Z ok (0.002s) 2022-11-23T01:30:58.2389571Z test_requires_grad_false (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2389871Z test_tensor_outlives_converter (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2390165Z test_view_as_complex (__main__.TestMetaConverter) ... ok (0.002s) 2022-11-23T01:30:58.2390429Z test_view_as_real (__main__.TestMetaConverter) ... ok (0.002s) 2022-11-23T01:30:58.2390705Z test_view_dtype (__main__.TestMetaConverter) ... ok (0.001s) 2022-11-23T01:30:58.2390972Z test_view_of_leaf (__main__.TestMetaConverter) ... ok (0.003s) 2022-11-23T01:30:58.2391235Z test_view_of_non_leaf (__main__.TestMetaConverter) ... ok (0.003s) 2022-11-23T01:30:58.2391701Z test_view_of_view_of_leaf (__main__.TestMetaConverter) ... ok (0.002s) 2022-11-23T01:30:58.2391983Z test_weakref (__main__.TestMetaConverter) ... ok (0.002s) 2022-11-23T01:30:58.2392131Z 2022-11-23T01:30:58.2392320Z ---------------------------------------------------------------------- 2022-11-23T01:30:58.2392566Z Ran 18 tests in 0.032s 2022-11-23T01:30:58.2392681Z 2022-11-23T01:30:58.2392748Z OK 2022-11-23T01:30:58.2392841Z 2022-11-23T01:30:58.2392929Z Generating XML reports... 2022-11-23T01:30:58.2393372Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221123013057.xml 2022-11-23T01:30:58.2393601Z 2022-11-23T01:30:58.2393845Z ##[endgroup] 2022-11-23T01:30:58.2394206Z FINISHED PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_f8ltshqw) 2022-11-23T01:30:58.2394398Z 2022-11-23T01:31:00.3010701Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:31:00.3613870Z Ignoring disabled issues: [] 2022-11-23T01:31:00.3779885Z Running test_mkldnn ... [2022-11-23 01:31:00.377675] 2022-11-23T01:31:00.3781503Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:00.377947] 2022-11-23T01:31:01.6674726Z 2022-11-23T01:31:01.6675306Z Expand the folded group to see the log file of test_mkl_verbose 2022-11-23T01:31:01.6676241Z ##[group]PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_genbxzhx) 2022-11-23T01:31:01.6676478Z 2022-11-23T01:31:01.6676553Z Running tests... 2022-11-23T01:31:01.6676948Z ---------------------------------------------------------------------- 2022-11-23T01:31:01.6677331Z Test results will be stored in test-reports/python-unittest/test_mkl_verbose 2022-11-23T01:31:01.6677629Z test_verbose_off (__main__.TestMKLVerbose) ... ok (1.776s) 2022-11-23T01:31:01.6677879Z test_verbose_on (__main__.TestMKLVerbose) ... ok (1.658s) 2022-11-23T01:31:01.6678027Z 2022-11-23T01:31:01.6678231Z ---------------------------------------------------------------------- 2022-11-23T01:31:01.6678471Z Ran 2 tests in 3.434s 2022-11-23T01:31:01.6678587Z 2022-11-23T01:31:01.6678647Z OK 2022-11-23T01:31:01.6678737Z 2022-11-23T01:31:01.6678808Z Generating XML reports... 2022-11-23T01:31:01.6679219Z Generated XML report: test-reports/python-unittest/test_mkl_verbose/TEST-TestMKLVerbose-20221123013057.xml 2022-11-23T01:31:01.6679448Z 2022-11-23T01:31:01.6679669Z ##[endgroup] 2022-11-23T01:31:01.6680120Z FINISHED PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_genbxzhx) 2022-11-23T01:31:01.6680338Z 2022-11-23T01:31:03.8950979Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:31:04.0108990Z Ignoring disabled issues: [] 2022-11-23T01:31:04.0361408Z Running test_mkldnn_fusion ... [2022-11-23 01:31:04.035707] 2022-11-23T01:31:04.0362996Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_fusion.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:04.036079] 2022-11-23T01:31:53.7299772Z 2022-11-23T01:31:53.7300589Z Expand the folded group to see the log file of test_mkldnn 2022-11-23T01:31:53.7301910Z ##[group]PRINTING LOG FILE of test_mkldnn (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_6xahvs8m) 2022-11-23T01:31:53.7302449Z 2022-11-23T01:31:53.7303421Z Running tests... 2022-11-23T01:31:53.7304196Z ---------------------------------------------------------------------- 2022-11-23T01:31:53.7304855Z Test results will be stored in test-reports/python-unittest/test_mkldnn 2022-11-23T01:31:53.7305470Z test_0_dimension_tensor (__main__.TestMkldnn) ... ok (0.312s) 2022-11-23T01:31:53.7368575Z test_adaptive_avg_pool2d (__main__.TestMkldnn) ... ok (0.115s) 2022-11-23T01:31:53.7369110Z test_adaptive_avg_pool2d_bf16 (__main__.TestMkldnn) ... ok (0.033s) 2022-11-23T01:31:53.7446478Z test_add (__main__.TestMkldnn) ... ok (0.062s) 2022-11-23T01:31:53.7447211Z test_autograd_from_mkldnn (__main__.TestMkldnn) ... ok (0.007s) 2022-11-23T01:31:53.7447610Z test_autograd_to_mkldnn (__main__.TestMkldnn) ... ok (0.012s) 2022-11-23T01:31:53.7447979Z test_avg_pool2d (__main__.TestMkldnn) ... ok (0.015s) 2022-11-23T01:31:53.7448297Z test_avg_pool2d_bf16 (__main__.TestMkldnn) ... ok (0.006s) 2022-11-23T01:31:53.7448666Z test_avg_pool2d_stride_none (__main__.TestMkldnn) ... ok (0.005s) 2022-11-23T01:31:53.7449046Z test_avg_pool3d (__main__.TestMkldnn) ... ok (1.294s) 2022-11-23T01:31:53.7451619Z test_avg_pool3d_bf16 (__main__.TestMkldnn) ... ok (0.239s) 2022-11-23T01:31:53.7452846Z test_batch_norm_2d (__main__.TestMkldnn) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:780: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is. 2022-11-23T01:31:53.7453464Z warnings.warn( 2022-11-23T01:31:53.7453759Z ok (0.083s) 2022-11-23T01:31:53.7454103Z test_batch_norm_2d_bf16 (__main__.TestMkldnn) ... ok (0.015s) 2022-11-23T01:31:53.7454565Z test_batch_norm_3d (__main__.TestMkldnn) ... ok (0.952s) 2022-11-23T01:31:53.7454984Z test_batch_norm_3d_bf16 (__main__.TestMkldnn) ... ok (0.386s) 2022-11-23T01:31:53.7455374Z test_clone (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7455752Z test_conv1d (__main__.TestMkldnn) ... ok (0.106s) 2022-11-23T01:31:53.7456153Z test_conv1d_bf16 (__main__.TestMkldnn) ... ok (0.044s) 2022-11-23T01:31:53.7456583Z test_conv1d_functional (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7456989Z test_conv2d (__main__.TestMkldnn) ... ok (0.716s) 2022-11-23T01:31:53.7457404Z test_conv2d_bf16 (__main__.TestMkldnn) ... ok (0.202s) 2022-11-23T01:31:53.7457803Z test_conv2d_legacy_jit_model (__main__.TestMkldnn) 2022-11-23T01:31:53.7458277Z MKLDNN integration used to serialize models with 5d weight for grouped ... ok (0.011s) 2022-11-23T01:31:53.7458943Z test_conv2d_nhwc (__main__.TestMkldnn) ... ok (0.879s) 2022-11-23T01:31:53.7459422Z test_conv2d_nhwc_bf16 (__main__.TestMkldnn) ... ok (1.820s) 2022-11-23T01:31:53.7459833Z test_conv3d (__main__.TestMkldnn) ... ok (2.246s) 2022-11-23T01:31:53.7460239Z test_conv3d_bf16 (__main__.TestMkldnn) ... ok (0.320s) 2022-11-23T01:31:53.7461608Z test_conversion (__main__.TestMkldnn) ... ok (0.045s) 2022-11-23T01:31:53.7462014Z test_copy (__main__.TestMkldnn) ... ok (0.014s) 2022-11-23T01:31:53.7462392Z test_detach (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7462780Z test_empty (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7464165Z test_gelu (__main__.TestMkldnn) ... ok (0.003s) 2022-11-23T01:31:53.7464565Z test_gelu_bf16 (__main__.TestMkldnn) ... ok (0.003s) 2022-11-23T01:31:53.7465088Z test_is_mkldnn (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7465554Z test_is_mkldnn_jit (__main__.TestMkldnn) ... ok (0.005s) 2022-11-23T01:31:53.7468043Z test_legacy_new_failure (__main__.TestMkldnn) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:31:53.7469088Z warnings.warn(message, UserWarning) 2022-11-23T01:31:53.7469463Z ok (0.008s) 2022-11-23T01:31:53.7469855Z test_linear (__main__.TestMkldnn) ... ok (0.022s) 2022-11-23T01:31:53.7470309Z test_linear_backward (__main__.TestMkldnn) ... ok (0.012s) 2022-11-23T01:31:53.7470793Z test_linear_bf16 (__main__.TestMkldnn) ... ok (0.014s) 2022-11-23T01:31:53.7471302Z test_linear_non_contiguous_weight (__main__.TestMkldnn) ... ok (0.008s) 2022-11-23T01:31:53.7471917Z test_max_pool2d (__main__.TestMkldnn) ... ok (0.120s) 2022-11-23T01:31:53.7472314Z test_max_pool2d_bf16 (__main__.TestMkldnn) ... ok (0.050s) 2022-11-23T01:31:53.7472745Z test_max_pool2d_stride_none (__main__.TestMkldnn) ... ok (0.011s) 2022-11-23T01:31:53.7473164Z test_max_pool3d (__main__.TestMkldnn) ... ok (18.067s) 2022-11-23T01:31:53.7473722Z test_max_pool3d_bf16 (__main__.TestMkldnn) ... ok (10.730s) 2022-11-23T01:31:53.7474159Z test_max_pool_unsupported (__main__.TestMkldnn) ... ok (0.013s) 2022-11-23T01:31:53.7474612Z test_mkldnn_conv_shapecheck (__main__.TestMkldnn) ... ok (0.032s) 2022-11-23T01:31:53.7475005Z test_mul (__main__.TestMkldnn) ... ok (0.087s) 2022-11-23T01:31:53.7475440Z test_prelu (__main__.TestMkldnn) ... ok (7.360s) 2022-11-23T01:31:53.7475839Z test_prelu_bf16 (__main__.TestMkldnn) ... ok (3.601s) 2022-11-23T01:31:53.7476343Z test_relu (__main__.TestMkldnn) ... ok (0.003s) 2022-11-23T01:31:53.7476716Z test_relu_ (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7477125Z test_relu_bf16 (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7477540Z test_relu_inplace_bf16 (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7477924Z test_repr (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7478324Z test_reshape (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7478745Z test_reshape_backward (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7479183Z test_reshape_blocked_format (__main__.TestMkldnn) ... ok (0.007s) 2022-11-23T01:31:53.7480376Z test_resnet18 (__main__.TestMkldnn) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. 2022-11-23T01:31:53.7481053Z warnings.warn( 2022-11-23T01:31:53.7482355Z /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`. 2022-11-23T01:31:53.7483147Z warnings.warn(msg) 2022-11-23T01:31:53.7483470Z ok (0.317s) 2022-11-23T01:31:53.7483941Z test_resnext50_32x4d (__main__.TestMkldnn) ... ok (0.794s) 2022-11-23T01:31:53.7484472Z test_set_data_tensorimpl_type (__main__.TestMkldnn) ... ok (0.004s) 2022-11-23T01:31:53.7485179Z test_sigmoid (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7485639Z test_softmax (__main__.TestMkldnn) ... ok (0.003s) 2022-11-23T01:31:53.7486076Z test_tanh (__main__.TestMkldnn) ... ok (0.002s) 2022-11-23T01:31:53.7486516Z test_transpose (__main__.TestMkldnn) ... ok (0.004s) 2022-11-23T01:31:53.7487010Z test_transpose_invalid_dime (__main__.TestMkldnn) ... ok (0.005s) 2022-11-23T01:31:53.7487546Z test_unsupported (__main__.TestMkldnn) ... ok (0.053s) 2022-11-23T01:31:53.7488064Z test_view (__main__.TestMkldnn) ... ok (0.007s) 2022-11-23T01:31:53.7488455Z test_zero_ (__main__.TestMkldnn) ... ok (0.001s) 2022-11-23T01:31:53.7488682Z 2022-11-23T01:31:53.7489029Z ---------------------------------------------------------------------- 2022-11-23T01:31:53.7489417Z Ran 68 tests in 51.311s 2022-11-23T01:31:53.7489556Z 2022-11-23T01:31:53.7489636Z OK 2022-11-23T01:31:53.7489757Z 2022-11-23T01:31:53.7489869Z Generating XML reports... 2022-11-23T01:31:53.7490401Z Generated XML report: test-reports/python-unittest/test_mkldnn/TEST-TestMkldnn-20221123013101.xml 2022-11-23T01:31:53.7490690Z 2022-11-23T01:31:53.7491114Z ##[endgroup] 2022-11-23T01:31:53.7491617Z FINISHED PRINTING LOG FILE of test_mkldnn (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_6xahvs8m) 2022-11-23T01:31:53.7491894Z 2022-11-23T01:31:56.6867674Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:31:56.7998470Z Ignoring disabled issues: [] 2022-11-23T01:31:56.8220903Z Running test_mkldnn_verbose ... [2022-11-23 01:31:56.821741] 2022-11-23T01:31:56.8278585Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:56.821994] 2022-11-23T01:32:03.7343547Z 2022-11-23T01:32:03.7344307Z Expand the folded group to see the log file of test_mkldnn_verbose 2022-11-23T01:32:03.7346149Z ##[group]PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_bebm23b6) 2022-11-23T01:32:03.7346796Z 2022-11-23T01:32:03.7347109Z Running tests... 2022-11-23T01:32:03.7353398Z ---------------------------------------------------------------------- 2022-11-23T01:32:03.7354440Z Test results will be stored in test-reports/python-unittest/test_mkldnn_verbose 2022-11-23T01:32:03.7355139Z test_verbose_off (__main__.TestMKLDNNVerbose) ... ok (2.358s) 2022-11-23T01:32:03.7356160Z test_verbose_on (__main__.TestMKLDNNVerbose) ... ok (2.313s) 2022-11-23T01:32:03.7356667Z 2022-11-23T01:32:03.7357239Z ---------------------------------------------------------------------- 2022-11-23T01:32:03.7357664Z Ran 2 tests in 4.671s 2022-11-23T01:32:03.7358001Z 2022-11-23T01:32:03.7361545Z OK 2022-11-23T01:32:03.7361975Z 2022-11-23T01:32:03.7364467Z Generating XML reports... 2022-11-23T01:32:03.7365567Z Generated XML report: test-reports/python-unittest/test_mkldnn_verbose/TEST-TestMKLDNNVerbose-20221123013158.xml 2022-11-23T01:32:03.7366119Z 2022-11-23T01:32:03.7366931Z ##[endgroup] 2022-11-23T01:32:03.7367754Z FINISHED PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_bebm23b6) 2022-11-23T01:32:03.7368413Z 2022-11-23T01:32:06.2641766Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:06.3496687Z Ignoring disabled issues: [] 2022-11-23T01:32:06.3666045Z Running test_model_dump ... [2022-11-23 01:32:06.366179] 2022-11-23T01:32:06.3667467Z Executing ['/opt/conda/bin/python', '-bb', 'test_model_dump.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:06.366479] 2022-11-23T01:32:09.1164083Z 2022-11-23T01:32:09.1164563Z Expand the folded group to see the log file of test_model_dump 2022-11-23T01:32:09.1165633Z ##[group]PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_xqqgkc3p) 2022-11-23T01:32:09.1165930Z 2022-11-23T01:32:09.1166038Z Running tests... 2022-11-23T01:32:09.1168784Z ---------------------------------------------------------------------- 2022-11-23T01:32:09.1169345Z Test results will be stored in test-reports/python-unittest/test_model_dump 2022-11-23T01:32:09.1169898Z test_inline_skeleton (__main__.TestModelDump) ... ok (0.255s) 2022-11-23T01:32:09.1170270Z test_invalid_json (__main__.TestModelDump) ... ok (0.019s) 2022-11-23T01:32:09.1170591Z test_main (__main__.TestModelDump) ... ok (0.016s) 2022-11-23T01:32:09.1172584Z test_memory_computation (__main__.TestModelDump) ... skip: Webdriver not requested (0.002s) 2022-11-23T01:32:09.1173143Z test_model_with_lists (__main__.TestModelDump) ... ok (0.005s) 2022-11-23T01:32:09.1173682Z test_optimized_quantized_model (__main__.TestModelDump) ... ok (0.302s) 2022-11-23T01:32:09.1174210Z test_quantized_model (__main__.TestModelDump) ... ok (0.227s) 2022-11-23T01:32:09.1174951Z test_scripted_model (__main__.TestModelDump) ... ok (0.011s) 2022-11-23T01:32:09.1175331Z test_traced_model (__main__.TestModelDump) ... ok (0.017s) 2022-11-23T01:32:09.1175538Z 2022-11-23T01:32:09.1176016Z ---------------------------------------------------------------------- 2022-11-23T01:32:09.1176459Z Ran 9 tests in 0.854s 2022-11-23T01:32:09.1176606Z 2022-11-23T01:32:09.1176714Z OK (skipped=1) 2022-11-23T01:32:09.1176852Z 2022-11-23T01:32:09.1176966Z Generating XML reports... 2022-11-23T01:32:09.1177650Z Generated XML report: test-reports/python-unittest/test_model_dump/TEST-TestModelDump-20221123013207.xml 2022-11-23T01:32:09.1178052Z 2022-11-23T01:32:09.1178370Z ##[endgroup] 2022-11-23T01:32:09.1178795Z FINISHED PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_xqqgkc3p) 2022-11-23T01:32:09.1179009Z 2022-11-23T01:32:11.6398336Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:11.7213851Z Ignoring disabled issues: [] 2022-11-23T01:32:11.7385728Z Running test_module_init ... [2022-11-23 01:32:11.738051] 2022-11-23T01:32:11.7387346Z Executing ['/opt/conda/bin/python', '-bb', 'test_module_init.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:11.738377] 2022-11-23T01:32:14.6385188Z 2022-11-23T01:32:14.6385972Z Expand the folded group to see the log file of test_module_init 2022-11-23T01:32:14.6387365Z ##[group]PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_38rhyac_) 2022-11-23T01:32:14.6387897Z 2022-11-23T01:32:14.6388329Z Running tests... 2022-11-23T01:32:14.6389148Z ---------------------------------------------------------------------- 2022-11-23T01:32:14.6389560Z 2022-11-23T01:32:14.6390017Z ---------------------------------------------------------------------- 2022-11-23T01:32:14.6390569Z Ran 0 tests in 0.000s 2022-11-23T01:32:14.6390828Z 2022-11-23T01:32:14.6390948Z OK 2022-11-23T01:32:14.6391163Z 2022-11-23T01:32:14.6391362Z Generating XML reports... 2022-11-23T01:32:14.6392163Z Test results will be stored in test-reports/python-unittest/test_module_init 2022-11-23T01:32:14.6392620Z 2022-11-23T01:32:14.6393143Z ##[endgroup] 2022-11-23T01:32:14.6394046Z FINISHED PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_38rhyac_) 2022-11-23T01:32:14.6394563Z 2022-11-23T01:32:17.4401194Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:17.5273622Z Ignoring disabled issues: [] 2022-11-23T01:32:17.5493839Z Running test_monitor ... [2022-11-23 01:32:17.548852] 2022-11-23T01:32:17.5494568Z Executing ['/opt/conda/bin/python', '-bb', 'test_monitor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:17.549235] 2022-11-23T01:32:18.7905910Z 2022-11-23T01:32:18.7906457Z Expand the folded group to see the log file of test_mkldnn_fusion 2022-11-23T01:32:18.7907548Z ##[group]PRINTING LOG FILE of test_mkldnn_fusion (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_fusion_umpru5y1) 2022-11-23T01:32:18.7907777Z 2022-11-23T01:32:18.7907853Z Running tests... 2022-11-23T01:32:18.7908290Z ---------------------------------------------------------------------- 2022-11-23T01:32:18.7908681Z Test results will be stored in test-reports/python-unittest/test_mkldnn_fusion 2022-11-23T01:32:18.7909134Z test_conv_binary_fusion_ops (__main__.TestMkldnnFusion) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T01:32:18.7909551Z test_conv_unary_fusion_nnc (__main__.TestMkldnnFusion) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:32:18.7909945Z test_conv_unary_fusion_ops (__main__.TestMkldnnFusion) ... ok (60.149s) 2022-11-23T01:32:18.7910240Z test_linear_binary_fusion_ops (__main__.TestMkldnnFusion) ... ok (0.019s) 2022-11-23T01:32:18.7910595Z test_linear_unary_fusion_ops (__main__.TestMkldnnFusion) ... ok (0.022s) 2022-11-23T01:32:18.7910862Z test_single_conv (__main__.TestMkldnnFusion) ... ok (1.352s) 2022-11-23T01:32:18.7911177Z test_unsupported_conv (__main__.TestMkldnnFusion) ... ok (10.833s) 2022-11-23T01:32:18.7911356Z 2022-11-23T01:32:18.7911558Z ---------------------------------------------------------------------- 2022-11-23T01:32:18.7911787Z Ran 7 tests in 72.381s 2022-11-23T01:32:18.7911924Z 2022-11-23T01:32:18.7912022Z OK (skipped=2) 2022-11-23T01:32:18.7912132Z 2022-11-23T01:32:18.7912215Z Generating XML reports... 2022-11-23T01:32:18.7912649Z Generated XML report: test-reports/python-unittest/test_mkldnn_fusion/TEST-TestMkldnnFusion-20221123013105.xml 2022-11-23T01:32:18.7912920Z 2022-11-23T01:32:18.7913148Z ##[endgroup] 2022-11-23T01:32:18.7913604Z FINISHED PRINTING LOG FILE of test_mkldnn_fusion (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_fusion_umpru5y1) 2022-11-23T01:32:18.7913828Z 2022-11-23T01:32:20.3291980Z 2022-11-23T01:32:20.3292503Z Expand the folded group to see the log file of test_monitor 2022-11-23T01:32:20.3294755Z ##[group]PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_ti1zr8ri) 2022-11-23T01:32:20.3295298Z 2022-11-23T01:32:20.3295726Z Running tests... 2022-11-23T01:32:20.3296554Z ---------------------------------------------------------------------- 2022-11-23T01:32:20.3297448Z Test results will be stored in test-reports/python-unittest/test_monitor 2022-11-23T01:32:20.3298130Z test_event_handler (__main__.TestMonitor) ... ok (0.247s) 2022-11-23T01:32:20.3298748Z test_fixed_count_stat (__main__.TestMonitor) ... ok (0.001s) 2022-11-23T01:32:20.3299493Z test_interval_stat (__main__.TestMonitor) ... ok (0.002s) 2022-11-23T01:32:20.3300060Z test_log_event (__main__.TestMonitor) ... ok (0.001s) 2022-11-23T01:32:20.3300706Z test_event_handler (__main__.TestMonitorTensorboard) ... ok (0.379s) 2022-11-23T01:32:20.3301108Z 2022-11-23T01:32:20.3301585Z ---------------------------------------------------------------------- 2022-11-23T01:32:20.3302149Z Ran 5 tests in 0.631s 2022-11-23T01:32:20.3302411Z 2022-11-23T01:32:20.3302536Z OK 2022-11-23T01:32:20.3302744Z 2022-11-23T01:32:20.3302939Z Generating XML reports... 2022-11-23T01:32:20.3303891Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitor-20221123013219.xml 2022-11-23T01:32:20.3305129Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitorTensorboard-20221123013219.xml 2022-11-23T01:32:20.3305746Z 2022-11-23T01:32:20.3306298Z ##[endgroup] 2022-11-23T01:32:20.3307159Z FINISHED PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_ti1zr8ri) 2022-11-23T01:32:20.3307678Z 2022-11-23T01:32:20.7725190Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:20.8504864Z Ignoring disabled issues: [] 2022-11-23T01:32:20.8671973Z Running test_namedtensor ... [2022-11-23 01:32:20.866860] 2022-11-23T01:32:20.8673492Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:20.867154] 2022-11-23T01:32:22.3524664Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:22.4126167Z Ignoring disabled issues: [] 2022-11-23T01:32:22.4296037Z Running test_native_functions ... [2022-11-23 01:32:22.429252] 2022-11-23T01:32:22.4297496Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:22.429532] 2022-11-23T01:32:23.8708307Z 2022-11-23T01:32:23.8708969Z Expand the folded group to see the log file of test_namedtensor 2022-11-23T01:32:23.8710427Z ##[group]PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_uzjv21hq) 2022-11-23T01:32:23.8711060Z 2022-11-23T01:32:23.8711172Z Running tests... 2022-11-23T01:32:23.8712068Z ---------------------------------------------------------------------- 2022-11-23T01:32:23.8713112Z Test results will be stored in test-reports/python-unittest/test_namedtensor 2022-11-23T01:32:23.8714155Z test_aaa_must_run_first_check_experimental_warning (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8714935Z test_addcmul_addcdiv (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8715561Z test_addmm (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:32:23.8716164Z test_addmv (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8716742Z test_align_as (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8717438Z test_align_tensors (__main__.TestNamedTensor) ... skip: Not implemented yet (0.001s) 2022-11-23T01:32:23.8718251Z test_align_tensors_two_inputs (__main__.TestNamedTensor) ... skip: Not implemented yet (0.002s) 2022-11-23T01:32:23.8718936Z test_align_to (__main__.TestNamedTensor) ... ok (0.009s) 2022-11-23T01:32:23.8719561Z test_align_to_ellipsis (__main__.TestNamedTensor) ... ok (0.011s) 2022-11-23T01:32:23.8720254Z test_any_all (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8720850Z test_as_strided (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8721771Z test_as_strided_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s) 2022-11-23T01:32:23.8722492Z test_autograd_ignores_names (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8723176Z test_autograd_smoke (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8723833Z test_autograd_warns_named_grad (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8724487Z test_bernoulli (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8725440Z test_big_tensor_repr_has_names (__main__.TestNamedTensor) ... ok (0.018s) 2022-11-23T01:32:23.8726096Z test_binary_ops (__main__.TestNamedTensor) ... ok (0.380s) 2022-11-23T01:32:23.8726726Z test_bitwise_not (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8727332Z test_bmm (__main__.TestNamedTensor) ... ok (0.026s) 2022-11-23T01:32:23.8727914Z test_cat (__main__.TestNamedTensor) ... ok (0.015s) 2022-11-23T01:32:23.8728461Z test_cdist (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8729092Z test_comparison_ops (__main__.TestNamedTensor) ... ok (0.005s) 2022-11-23T01:32:23.8729742Z test_copy_transpose (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8730386Z test_cummax_cummin (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8731004Z test_detach (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8731609Z test_diagonal (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8732196Z test_dot (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8732839Z test_equal (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8733463Z test_expand (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8734091Z test_factory_coverage (__main__.TestNamedTensor) ... ok (0.004s) 2022-11-23T01:32:23.8734765Z test_factory_edge_cases (__main__.TestNamedTensor) ... ok (0.019s) 2022-11-23T01:32:23.8735402Z test_flatten (__main__.TestNamedTensor) ... ok (0.011s) 2022-11-23T01:32:23.8735971Z test_flatten_nodims (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:32:23.8736595Z test_has_names (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8737198Z test_index_fill (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8739058Z test_info_smoke (__main__.TestNamedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:32:23.8740327Z warnings.warn(message, UserWarning) 2022-11-23T01:32:23.8740772Z ok (0.001s) 2022-11-23T01:32:23.8741289Z test_logcumsumexp (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8741943Z test_logical_not (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8742586Z test_logical_ops (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8743190Z test_masked_fill (__main__.TestNamedTensor) ... ok (0.015s) 2022-11-23T01:32:23.8743828Z test_masked_select (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:32:23.8744457Z test_matmul (__main__.TestNamedTensor) ... ok (0.022s) 2022-11-23T01:32:23.8744957Z test_max_pooling (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:32:23.8745662Z test_max_pooling_without_names_does_not_warn (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8746336Z test_mm (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:32:23.8768690Z test_mv (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8770377Z test_no_jit_script_support (__main__.TestNamedTensor) ... ok (0.048s) 2022-11-23T01:32:23.8770848Z test_no_jit_tracer_support (__main__.TestNamedTensor) ... ok (0.009s) 2022-11-23T01:32:23.8782967Z test_no_multiprocessing_support (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8783511Z test_no_pickle_support (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8783996Z test_no_save_support (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8784635Z test_noncontig_contiguous (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8785149Z test_none_names_refcount (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8785682Z test_nyi_dimname_overload_msg (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:32:23.8786182Z test_out_fn_semantics (__main__.TestNamedTensor) ... ok (0.021s) 2022-11-23T01:32:23.8786683Z test_pow_special (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8787081Z test_py3_ellipsis (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8787448Z test_reduction_fns (__main__.TestNamedTensor) ... ok (0.110s) 2022-11-23T01:32:23.8787888Z test_refine_names (__main__.TestNamedTensor) ... ok (0.009s) 2022-11-23T01:32:23.8788369Z test_rename (__main__.TestNamedTensor) ... ok (0.008s) 2022-11-23T01:32:23.8788690Z test_rename_ (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:32:23.8788953Z test_rename_globber (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:32:23.8789230Z test_rename_rename_map (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8789492Z test_repr (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:32:23.8789727Z test_resize (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:32:23.8789973Z test_select (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:32:23.8790240Z test_select_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s) 2022-11-23T01:32:23.8790545Z test_set_names_property (__main__.TestNamedTensor) ... ok (0.005s) 2022-11-23T01:32:23.8790805Z test_size (__main__.TestNamedTensor) ... ok (0.008s) 2022-11-23T01:32:23.8791079Z test_split_fns_propagates_names (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8791354Z test_squeeze (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8791594Z test_stride (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:32:23.8791858Z test_tensor_from_lists (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:32:23.8792406Z test_tensor_from_named_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:516: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:32:23.8792933Z tensor = torch.tensor(x) 2022-11-23T01:32:23.8793366Z /var/lib/jenkins/workspace/test/test_namedtensor.py:522: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:32:23.8793806Z tensor = torch.tensor(x, names=None) 2022-11-23T01:32:23.8794263Z /var/lib/jenkins/workspace/test/test_namedtensor.py:527: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:32:23.8794796Z tensor = torch.tensor(x, names=('N', 'C')) 2022-11-23T01:32:23.8794980Z ok (0.003s) 2022-11-23T01:32:23.8795204Z test_tensor_from_numpy (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8795739Z test_tensor_from_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:511: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:32:23.8796220Z tensor = torch.tensor(x, names=names) 2022-11-23T01:32:23.8796401Z ok (0.001s) 2022-11-23T01:32:23.8796631Z test_tensor_grad_is_unnamed (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8796922Z test_transpose_variants (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8797178Z test_trivial (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8797513Z test_unary_propagate_names_fns (__main__.TestNamedTensor) ... ok (0.018s) 2022-11-23T01:32:23.8797796Z test_unflatten (__main__.TestNamedTensor) ... ok (0.016s) 2022-11-23T01:32:23.8798076Z test_unsupported_op_error_msg (__main__.TestNamedTensor) ... ok (0.010s) 2022-11-23T01:32:23.8798385Z test_using_seen_interned_string_doesnt_bump_refcount (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8798744Z test_using_unseen_interned_string_bumps_refcount_permanently (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8799133Z test_using_unseen_uninterned_string_refcounts (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:32:23.8799314Z 2022-11-23T01:32:23.8799524Z ---------------------------------------------------------------------- 2022-11-23T01:32:23.8799756Z Ran 86 tests in 0.919s 2022-11-23T01:32:23.8799869Z 2022-11-23T01:32:23.8799939Z OK (skipped=4) 2022-11-23T01:32:23.8800130Z 2022-11-23T01:32:23.8800216Z Generating XML reports... 2022-11-23T01:32:23.8800629Z Generated XML report: test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123013222.xml 2022-11-23T01:32:23.8800864Z 2022-11-23T01:32:23.8801199Z ##[endgroup] 2022-11-23T01:32:23.8801589Z FINISHED PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_uzjv21hq) 2022-11-23T01:32:23.8801813Z 2022-11-23T01:32:24.5562488Z 2022-11-23T01:32:24.5563033Z Expand the folded group to see the log file of test_native_functions 2022-11-23T01:32:24.5563984Z ##[group]PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_zv0mqmnk) 2022-11-23T01:32:24.5564380Z 2022-11-23T01:32:24.5564499Z Running tests... 2022-11-23T01:32:24.5565278Z ---------------------------------------------------------------------- 2022-11-23T01:32:24.5565909Z Test results will be stored in test-reports/python-unittest/test_native_functions 2022-11-23T01:32:24.5566225Z test_intlist_error_with_overload (__main__.TestNativeFunctions) ... ok (0.255s) 2022-11-23T01:32:24.5566809Z test_optional_filled_intlist (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5567302Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5567773Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5568487Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5569204Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5569937Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5570489Z pad(): argument 'pad' (position 2) must be tuple of ints, not str 2022-11-23T01:32:24.5570820Z ok (0.051s) 2022-11-23T01:32:24.5571223Z test_optional_floatlist (__main__.TestNativeFunctions) ... ok (0.010s) 2022-11-23T01:32:24.5571820Z test_optional_floatlist_invalid (__main__.TestNativeFunctions) ... ok (0.008s) 2022-11-23T01:32:24.5572307Z test_optional_intlist (__main__.TestNativeFunctions) ... ok (0.009s) 2022-11-23T01:32:24.5572855Z test_optional_intlist_invalid (__main__.TestNativeFunctions) ... ok (0.007s) 2022-11-23T01:32:24.5573401Z test_string_defaults (__main__.TestNativeFunctions) ... ok (0.007s) 2022-11-23T01:32:24.5574236Z test_symintlist_error (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5574947Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5575591Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5576035Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5576603Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5577059Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5577447Z pad(): argument 'pad' (position 2) must be tuple of ints, not str 2022-11-23T01:32:24.5577682Z ok (0.001s) 2022-11-23T01:32:24.5578125Z test_symintlist_error_with_overload (__main__.TestNativeFunctions) ... view() received an invalid combination of arguments - got (tuple), but expected one of: 2022-11-23T01:32:24.5578611Z * (torch.dtype dtype) 2022-11-23T01:32:24.5578936Z didn't match because some of the arguments have invalid types: (!tuple of (str,)!) 2022-11-23T01:32:24.5579265Z * (tuple of ints size) 2022-11-23T01:32:24.5579584Z didn't match because some of the arguments have invalid types: (!tuple of (str,)!) 2022-11-23T01:32:24.5579808Z 2022-11-23T01:32:24.5580023Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5580417Z view() received an invalid combination of arguments - got (tuple), but expected one of: 2022-11-23T01:32:24.5580716Z * (torch.dtype dtype) 2022-11-23T01:32:24.5581045Z didn't match because some of the arguments have invalid types: (!tuple of (str, int)!) 2022-11-23T01:32:24.5581342Z * (tuple of ints size) 2022-11-23T01:32:24.5581658Z didn't match because some of the arguments have invalid types: (!tuple of (str, int)!) 2022-11-23T01:32:24.5581838Z 2022-11-23T01:32:24.5582107Z view() received an invalid combination of arguments - got (list), but expected one of: 2022-11-23T01:32:24.5582361Z * (torch.dtype dtype) 2022-11-23T01:32:24.5582679Z didn't match because some of the arguments have invalid types: (!list of [str]!) 2022-11-23T01:32:24.5582964Z * (tuple of ints size) 2022-11-23T01:32:24.5583282Z didn't match because some of the arguments have invalid types: (!list of [str]!) 2022-11-23T01:32:24.5583453Z 2022-11-23T01:32:24.5583719Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5584115Z view() received an invalid combination of arguments - got (list), but expected one of: 2022-11-23T01:32:24.5584411Z * (torch.dtype dtype) 2022-11-23T01:32:24.5584735Z didn't match because some of the arguments have invalid types: (!list of [str, int]!) 2022-11-23T01:32:24.5584981Z * (tuple of ints size) 2022-11-23T01:32:24.5585342Z didn't match because some of the arguments have invalid types: (!list of [str, int]!) 2022-11-23T01:32:24.5585525Z 2022-11-23T01:32:24.5585742Z view() received an invalid combination of arguments - got (str), but expected one of: 2022-11-23T01:32:24.5586037Z * (torch.dtype dtype) 2022-11-23T01:32:24.5586332Z didn't match because some of the arguments have invalid types: (!str!) 2022-11-23T01:32:24.5586610Z * (tuple of ints size) 2022-11-23T01:32:24.5586915Z didn't match because some of the arguments have invalid types: (!str!) 2022-11-23T01:32:24.5587082Z 2022-11-23T01:32:24.5587135Z ok (0.001s) 2022-11-23T01:32:24.5587669Z test_symintlist_error_with_overload_but_is_unique (__main__.TestNativeFunctions) ... set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of: 2022-11-23T01:32:24.5587997Z * () 2022-11-23T01:32:24.5588213Z * (torch.Storage source) 2022-11-23T01:32:24.5588464Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5588707Z * (Tensor source) 2022-11-23T01:32:24.5588992Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5589159Z 2022-11-23T01:32:24.5589361Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5589827Z set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of: 2022-11-23T01:32:24.5590081Z * () 2022-11-23T01:32:24.5590246Z * (torch.Storage source) 2022-11-23T01:32:24.5590593Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5590838Z * (Tensor source) 2022-11-23T01:32:24.5591092Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5591278Z 2022-11-23T01:32:24.5591520Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of: 2022-11-23T01:32:24.5591768Z * () 2022-11-23T01:32:24.5591981Z * (torch.Storage source) 2022-11-23T01:32:24.5592271Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5592513Z * (Tensor source) 2022-11-23T01:32:24.5592800Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5592965Z 2022-11-23T01:32:24.5593177Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5593625Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of: 2022-11-23T01:32:24.5593872Z * () 2022-11-23T01:32:24.5594042Z * (torch.Storage source) 2022-11-23T01:32:24.5594338Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5594577Z * (Tensor source) 2022-11-23T01:32:24.5594815Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5595034Z 2022-11-23T01:32:24.5595265Z set_() received an invalid combination of arguments - got (Tensor, int, str), but expected one of: 2022-11-23T01:32:24.5595515Z * () 2022-11-23T01:32:24.5595726Z * (torch.Storage source) 2022-11-23T01:32:24.5595988Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5596222Z * (Tensor source) 2022-11-23T01:32:24.5596510Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:32:24.5596674Z 2022-11-23T01:32:24.5596741Z ok (0.001s) 2022-11-23T01:32:24.5597209Z test_vararg_symintlist_error (__main__.TestNativeFunctions) ... rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5597671Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5598122Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5598535Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5598958Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5599353Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5599757Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5600271Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5600672Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5601069Z rand() received an invalid combination of arguments - got (str, int), but expected one of: 2022-11-23T01:32:24.5601500Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5601981Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5602474Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5602908Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5603141Z 2022-11-23T01:32:24.5603440Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:32:24.5603819Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:32:24.5604211Z rand() received an invalid combination of arguments - got (str, int), but expected one of: 2022-11-23T01:32:24.5604636Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5605325Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5605761Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5606241Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5606479Z 2022-11-23T01:32:24.5606722Z rand() received an invalid combination of arguments - got (str, str, str), but expected one of: 2022-11-23T01:32:24.5607149Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5607634Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5608071Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5608497Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:32:24.5608728Z 2022-11-23T01:32:24.5608793Z ok (0.001s) 2022-11-23T01:32:24.5608894Z 2022-11-23T01:32:24.5609096Z ---------------------------------------------------------------------- 2022-11-23T01:32:24.5609329Z Ran 11 tests in 0.351s 2022-11-23T01:32:24.5609440Z 2022-11-23T01:32:24.5609499Z OK 2022-11-23T01:32:24.5609591Z 2022-11-23T01:32:24.5609676Z Generating XML reports... 2022-11-23T01:32:24.5610089Z Generated XML report: test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20221123013223.xml 2022-11-23T01:32:24.5610331Z 2022-11-23T01:32:24.5610618Z ##[endgroup] 2022-11-23T01:32:24.5611021Z FINISHED PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_zv0mqmnk) 2022-11-23T01:32:24.5611246Z 2022-11-23T01:32:25.8831565Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:25.9437166Z Ignoring disabled issues: [] 2022-11-23T01:32:25.9606897Z Running test_native_mha ... [2022-11-23 01:32:25.960311] 2022-11-23T01:32:25.9608232Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_mha.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:25.960615] 2022-11-23T01:32:26.5894529Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:26.6487835Z Ignoring disabled issues: [] 2022-11-23T01:32:26.6657880Z Running test_nestedtensor ... [2022-11-23 01:32:26.665450] 2022-11-23T01:32:26.6659196Z Executing ['/opt/conda/bin/python', '-bb', 'test_nestedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:26.665732] 2022-11-23T01:32:28.0177722Z 2022-11-23T01:32:28.0178264Z Expand the folded group to see the log file of test_native_mha 2022-11-23T01:32:28.0179335Z ##[group]PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_84wwoot7) 2022-11-23T01:32:28.0179732Z 2022-11-23T01:32:28.0179835Z Running tests... 2022-11-23T01:32:28.0180498Z ---------------------------------------------------------------------- 2022-11-23T01:32:28.0180779Z 2022-11-23T01:32:28.0181395Z ---------------------------------------------------------------------- 2022-11-23T01:32:28.0181838Z Ran 0 tests in 0.000s 2022-11-23T01:32:28.0182046Z 2022-11-23T01:32:28.0182140Z OK 2022-11-23T01:32:28.0182307Z 2022-11-23T01:32:28.0182463Z Generating XML reports... 2022-11-23T01:32:28.0183039Z Test results will be stored in test-reports/python-unittest/test_native_mha 2022-11-23T01:32:28.0183223Z 2022-11-23T01:32:28.0183444Z ##[endgroup] 2022-11-23T01:32:28.0183834Z FINISHED PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_84wwoot7) 2022-11-23T01:32:28.0184122Z 2022-11-23T01:32:28.7892762Z 2022-11-23T01:32:28.7893267Z Expand the folded group to see the log file of test_nestedtensor 2022-11-23T01:32:28.7894291Z ##[group]PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_8jm63vox) 2022-11-23T01:32:28.7894776Z 2022-11-23T01:32:28.7894890Z Running tests... 2022-11-23T01:32:28.7895551Z ---------------------------------------------------------------------- 2022-11-23T01:32:28.7896282Z Test results will be stored in test-reports/python-unittest/test_nestedtensor 2022-11-23T01:32:28.7897410Z test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... /var/lib/jenkins/workspace/test/test_nestedtensor.py:113: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:32:28.7898461Z nested_tensor = torch.nested.nested_tensor(data, dtype=torch.int64) 2022-11-23T01:32:28.7898880Z ok (0.003s) 2022-11-23T01:32:28.7899363Z test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7900007Z test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7900628Z test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7901265Z test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7901896Z test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7902501Z test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7903125Z test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7903763Z test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7904390Z test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7904999Z test_3d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7905632Z test_3d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7906262Z test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7906881Z test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7907485Z test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7908123Z test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7908765Z test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7909421Z test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7910308Z test_3d_nested_tensor_float_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7910968Z test_3d_nested_tensor_float_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7911618Z test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7912255Z test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7912987Z test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7913643Z test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7914199Z test_copy_ (__main__.TestNestedTensor) ... ok (0.006s) 2022-11-23T01:32:28.7914682Z test_default_nested_tensor (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7915182Z test_dim (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7915642Z test_fill_ (__main__.TestNestedTensor) ... ok (0.006s) 2022-11-23T01:32:28.7916101Z test_is_contiguous (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7916611Z test_nested_namespace (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7917117Z test_nested_tensor (__main__.TestNestedTensor) ... ok (0.003s) 2022-11-23T01:32:28.7917637Z test_nested_tensor_matching_dim (__main__.TestNestedTensor) ... ok (0.006s) 2022-11-23T01:32:28.7918129Z test_numel (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7918591Z test_ones_like (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7919072Z test_repr_string (__main__.TestNestedTensor) ... ok (0.003s) 2022-11-23T01:32:28.7919527Z test_size (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7920070Z test_size_dim (__main__.TestNestedTensor) ... ok (0.005s) 2022-11-23T01:32:28.7920544Z test_stride (__main__.TestNestedTensor) ... ok (0.002s) 2022-11-23T01:32:28.7920982Z test_to (__main__.TestNestedTensor) ... ok (0.003s) 2022-11-23T01:32:28.7921496Z test_to_padded_tensor_on_empty_tensor (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7922025Z test_unbind_0 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7922492Z test_unbind_1 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7922944Z test_unbind_3 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7923418Z test_unbind_4 (__main__.TestNestedTensor) ... ok (0.001s) 2022-11-23T01:32:28.7923893Z test_unbind_dim (__main__.TestNestedTensor) ... ok (0.003s) 2022-11-23T01:32:28.7924170Z 2022-11-23T01:32:28.7924575Z ---------------------------------------------------------------------- 2022-11-23T01:32:28.7925201Z Ran 45 tests in 0.096s 2022-11-23T01:32:28.7925406Z 2022-11-23T01:32:28.7925515Z OK 2022-11-23T01:32:28.7925682Z 2022-11-23T01:32:28.7925834Z Generating XML reports... 2022-11-23T01:32:28.7926573Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensor-20221123013228.xml 2022-11-23T01:32:28.7926986Z 2022-11-23T01:32:28.7927326Z ##[endgroup] 2022-11-23T01:32:28.7927738Z FINISHED PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_8jm63vox) 2022-11-23T01:32:28.7928076Z 2022-11-23T01:32:30.0372567Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:30.0971434Z Ignoring disabled issues: [] 2022-11-23T01:32:30.1142471Z Running test_numba_integration ... [2022-11-23 01:32:30.113831] 2022-11-23T01:32:30.1143149Z Executing ['/opt/conda/bin/python', '-bb', 'test_numba_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:30.114086] 2022-11-23T01:32:30.8296354Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:30.8896339Z Ignoring disabled issues: [] 2022-11-23T01:32:30.9066245Z Running test_numpy_interop ... [2022-11-23 01:32:30.906209] 2022-11-23T01:32:30.9067470Z Executing ['/opt/conda/bin/python', '-bb', 'test_numpy_interop.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:30.906468] 2022-11-23T01:32:32.0828119Z 2022-11-23T01:32:32.0828705Z Expand the folded group to see the log file of test_numba_integration 2022-11-23T01:32:32.0830039Z ##[group]PRINTING LOG FILE of test_numba_integration (/var/lib/jenkins/workspace/test/test-reports/test_numba_integration_cmcx2am1) 2022-11-23T01:32:32.0830507Z 2022-11-23T01:32:32.0830606Z Running tests... 2022-11-23T01:32:32.0831018Z ---------------------------------------------------------------------- 2022-11-23T01:32:32.0831422Z Test results will be stored in test-reports/python-unittest/test_numba_integration 2022-11-23T01:32:32.0831727Z test_active_device (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0832106Z 'as_cuda_array' tensor device must match active numba context. ... skip: No cuda (0.001s) 2022-11-23T01:32:32.0832395Z test_array_adaptor (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0832699Z Torch __cuda_array_adaptor__ exposes tensor data to numba.cuda. ... skip: No cuda (0.001s) 2022-11-23T01:32:32.0833004Z test_conversion_errors (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0833305Z Numba properly detects array interface for tensor.Tensor variants. ... skip: No cuda (0.001s) 2022-11-23T01:32:32.0833618Z test_cuda_array_interface (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0833925Z torch.Tensor exposes __cuda_array_interface__ for cuda tensors. ... skip: No cuda (0.001s) 2022-11-23T01:32:32.0834232Z test_from_cuda_array_interface (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0834647Z torch.as_tensor() and torch.tensor() supports the __cuda_array_interface__ protocol. ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.001s) 2022-11-23T01:32:32.0835067Z test_from_cuda_array_interface_active_device (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0835478Z torch.as_tensor() tensor device must match active numba context. ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.001s) 2022-11-23T01:32:32.0835875Z test_from_cuda_array_interface_inferred_strides (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0836207Z torch.as_tensor(numba_ary) should have correct inferred (contiguous) strides ... skip: No cuda (0.001s) 2022-11-23T01:32:32.0836540Z test_from_cuda_array_interface_lifetime (__main__.TestNumbaIntegration) 2022-11-23T01:32:32.0836978Z torch.as_tensor(obj) tensor grabs a reference to obj so that the lifetime of obj exceeds the tensor ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.000s) 2022-11-23T01:32:32.0837258Z 2022-11-23T01:32:32.0837455Z ---------------------------------------------------------------------- 2022-11-23T01:32:32.0837685Z Ran 8 tests in 0.008s 2022-11-23T01:32:32.0837797Z 2022-11-23T01:32:32.0837868Z OK (skipped=8) 2022-11-23T01:32:32.0837974Z 2022-11-23T01:32:32.0838060Z Generating XML reports... 2022-11-23T01:32:32.0838498Z Generated XML report: test-reports/python-unittest/test_numba_integration/TEST-TestNumbaIntegration-20221123013231.xml 2022-11-23T01:32:32.0838737Z 2022-11-23T01:32:32.0838979Z ##[endgroup] 2022-11-23T01:32:32.0839386Z FINISHED PRINTING LOG FILE of test_numba_integration (/var/lib/jenkins/workspace/test/test-reports/test_numba_integration_cmcx2am1) 2022-11-23T01:32:32.0839621Z 2022-11-23T01:32:32.9247277Z 2022-11-23T01:32:32.9247726Z Expand the folded group to see the log file of test_numpy_interop 2022-11-23T01:32:32.9248829Z ##[group]PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_937qbv0n) 2022-11-23T01:32:32.9249241Z 2022-11-23T01:32:32.9249358Z Running tests... 2022-11-23T01:32:32.9250010Z ---------------------------------------------------------------------- 2022-11-23T01:32:32.9250185Z 2022-11-23T01:32:32.9250552Z ---------------------------------------------------------------------- 2022-11-23T01:32:32.9250792Z Ran 0 tests in 0.000s 2022-11-23T01:32:32.9250892Z 2022-11-23T01:32:32.9250952Z OK 2022-11-23T01:32:32.9251044Z 2022-11-23T01:32:32.9251129Z Generating XML reports... 2022-11-23T01:32:32.9251463Z Test results will be stored in test-reports/python-unittest/test_numpy_interop 2022-11-23T01:32:32.9251647Z 2022-11-23T01:32:32.9251853Z ##[endgroup] 2022-11-23T01:32:32.9252249Z FINISHED PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_937qbv0n) 2022-11-23T01:32:32.9252538Z 2022-11-23T01:32:34.1059962Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:34.1670731Z Ignoring disabled issues: [] 2022-11-23T01:32:34.1843664Z Running test_nvfuser_dynamo ... [2022-11-23 01:32:34.184005] 2022-11-23T01:32:34.1844508Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_dynamo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:34.184266] 2022-11-23T01:32:34.9579286Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:35.0187888Z Ignoring disabled issues: [] 2022-11-23T01:32:35.0355856Z Running test_nvfuser_frontend ... [2022-11-23 01:32:35.035325] 2022-11-23T01:32:35.0358624Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_frontend.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:35.035595] 2022-11-23T01:32:36.1543540Z 2022-11-23T01:32:36.1544025Z Expand the folded group to see the log file of test_nvfuser_dynamo 2022-11-23T01:32:36.1545053Z ##[group]PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_ksczwiku) 2022-11-23T01:32:36.1545401Z 2022-11-23T01:32:36.1545522Z Running tests... 2022-11-23T01:32:36.1546170Z ---------------------------------------------------------------------- 2022-11-23T01:32:36.1547008Z test_basic (__main__.TestNvFuserDynamo) ... Test results will be stored in test-reports/python-unittest/test_nvfuser_dynamo 2022-11-23T01:32:36.1547575Z skip: requires CUDA (0.001s) 2022-11-23T01:32:36.1548080Z test_batch_norm_implicit_dtype_promotion (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.1548684Z test_dtype_correctness (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.000s) 2022-11-23T01:32:36.1549005Z test_min_cut (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.1549183Z 2022-11-23T01:32:36.1549388Z ---------------------------------------------------------------------- 2022-11-23T01:32:36.1549629Z Ran 4 tests in 0.003s 2022-11-23T01:32:36.1549744Z 2022-11-23T01:32:36.1549803Z OK (skipped=4) 2022-11-23T01:32:36.1549909Z 2022-11-23T01:32:36.1549995Z Generating XML reports... 2022-11-23T01:32:36.1550431Z Generated XML report: test-reports/python-unittest/test_nvfuser_dynamo/TEST-TestNvFuserDynamo-20221123013235.xml 2022-11-23T01:32:36.1550670Z 2022-11-23T01:32:36.1550885Z ##[endgroup] 2022-11-23T01:32:36.1551277Z FINISHED PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_ksczwiku) 2022-11-23T01:32:36.1551499Z 2022-11-23T01:32:36.7840354Z 2022-11-23T01:32:36.7841001Z Expand the folded group to see the log file of test_nvfuser_frontend 2022-11-23T01:32:36.7842463Z ##[group]PRINTING LOG FILE of test_nvfuser_frontend (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_frontend_bw7bwokm) 2022-11-23T01:32:36.7843075Z 2022-11-23T01:32:36.7843236Z Running tests... 2022-11-23T01:32:36.7844057Z ---------------------------------------------------------------------- 2022-11-23T01:32:36.7845165Z test_basic (__main__.TestNvFuserFrontend) ... Test results will be stored in test-reports/python-unittest/test_nvfuser_frontend 2022-11-23T01:32:36.7845735Z skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7846067Z test_basic_fp16 (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7846385Z test_broadcast_mixing (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7846943Z test_cast_double_to_half (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7847293Z test_explicit_broadcast_input (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7847642Z test_implicit_broadcast_input (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7847969Z test_ops_broadcast (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7848355Z test_prim_layer_norm_fwd (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.003s) 2022-11-23T01:32:36.7848683Z test_prim_rms_norm_fwd (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7848996Z test_promote_to_double (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s) 2022-11-23T01:32:36.7849176Z 2022-11-23T01:32:36.7849383Z ---------------------------------------------------------------------- 2022-11-23T01:32:36.7849627Z Ran 10 tests in 0.010s 2022-11-23T01:32:36.7849744Z 2022-11-23T01:32:36.7849819Z OK (skipped=10) 2022-11-23T01:32:36.7849929Z 2022-11-23T01:32:36.7850001Z Generating XML reports... 2022-11-23T01:32:36.7850446Z Generated XML report: test-reports/python-unittest/test_nvfuser_frontend/TEST-TestNvFuserFrontend-20221123013236.xml 2022-11-23T01:32:36.7850692Z 2022-11-23T01:32:36.7850952Z ##[endgroup] 2022-11-23T01:32:36.7851343Z FINISHED PRINTING LOG FILE of test_nvfuser_frontend (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_frontend_bw7bwokm) 2022-11-23T01:32:36.7851574Z 2022-11-23T01:32:38.1237294Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:38.1854337Z Ignoring disabled issues: [] 2022-11-23T01:32:38.2027586Z Running test_openmp ... [2022-11-23 01:32:38.202414] 2022-11-23T01:32:38.2028929Z Executing ['/opt/conda/bin/python', '-bb', 'test_openmp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:38.202676] 2022-11-23T01:32:38.7977058Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:38.8577596Z Ignoring disabled issues: [] 2022-11-23T01:32:38.8749214Z Running test_optim ... [2022-11-23 01:32:38.874587] 2022-11-23T01:32:38.8750747Z Executing ['/opt/conda/bin/python', '-bb', 'test_optim.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:38.874858] 2022-11-23T01:32:43.3697094Z 2022-11-23T01:32:43.3697671Z Expand the folded group to see the log file of test_openmp 2022-11-23T01:32:43.3698786Z ##[group]PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_jpweif9b) 2022-11-23T01:32:43.3699224Z 2022-11-23T01:32:43.3699349Z Running tests... 2022-11-23T01:32:43.3699989Z ---------------------------------------------------------------------- 2022-11-23T01:32:43.3700722Z Test results will be stored in test-reports/python-unittest/test_openmp 2022-11-23T01:32:43.3701259Z test_n_threads (__main__.TestOpenMP_ParallelFor) 2022-11-23T01:32:43.3701731Z Make sure there is no memory leak with many threads ... ok (1.374s) 2022-11-23T01:32:43.3702232Z test_one_thread (__main__.TestOpenMP_ParallelFor) 2022-11-23T01:32:43.3702929Z Make sure there is no memory leak with one thread: issue gh-32284 ... ok (1.955s) 2022-11-23T01:32:43.3703236Z 2022-11-23T01:32:43.3703601Z ---------------------------------------------------------------------- 2022-11-23T01:32:43.3704057Z Ran 2 tests in 3.329s 2022-11-23T01:32:43.3704300Z 2022-11-23T01:32:43.3704416Z OK 2022-11-23T01:32:43.3704577Z 2022-11-23T01:32:43.3704726Z Generating XML reports... 2022-11-23T01:32:43.3705498Z Generated XML report: test-reports/python-unittest/test_openmp/TEST-TestOpenMP_ParallelFor-20221123013239.xml 2022-11-23T01:32:43.3705935Z 2022-11-23T01:32:43.3706413Z ##[endgroup] 2022-11-23T01:32:43.3707120Z FINISHED PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_jpweif9b) 2022-11-23T01:32:43.3707514Z 2022-11-23T01:32:45.3202507Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:45.3989246Z Ignoring disabled issues: [] 2022-11-23T01:32:45.4164123Z Running test_package ... [2022-11-23 01:32:45.416062] 2022-11-23T01:32:45.4165436Z Executing ['/opt/conda/bin/python', '-bb', 'test_package.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:45.416331] 2022-11-23T01:32:49.5055243Z 2022-11-23T01:32:49.5056034Z Expand the folded group to see the log file of test_package 2022-11-23T01:32:49.5060410Z ##[group]PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_aym8qkyi) 2022-11-23T01:32:49.5061176Z 2022-11-23T01:32:49.5063926Z Running tests... 2022-11-23T01:32:49.5064802Z ---------------------------------------------------------------------- 2022-11-23T01:32:49.5068342Z Test results will be stored in test-reports/python-unittest/test_package 2022-11-23T01:32:49.5070325Z test_trace_dependencies (test_analyze.TestAnalyze) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81213 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.236s) 2022-11-23T01:32:49.5074035Z test_allow_empty_with_error (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5074833Z If an error occurs during packaging, it should not be shadowed by the allow_empty error. ... ok (0.002s) 2022-11-23T01:32:49.5077975Z test_broken_dependency (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5078821Z A unpackageable dependency should raise a PackagingError. ... ok (0.002s) 2022-11-23T01:32:49.5082245Z test_deny (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5083118Z Test marking packages as "deny" during export. ... ok (0.002s) 2022-11-23T01:32:49.5083951Z test_deny_glob (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5084388Z Test marking packages as "deny" using globs instead of package names. ... ok (0.002s) 2022-11-23T01:32:49.5084969Z test_extern (test_dependency_api.TestDependencyAPI) ... ok (0.001s) 2022-11-23T01:32:49.5085382Z test_extern_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s) 2022-11-23T01:32:49.5090267Z test_extern_glob_allow_empty (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5091279Z Test that an error is thrown when a extern glob is specified with allow_empty=True ... ok (0.001s) 2022-11-23T01:32:49.5091724Z test_externing_c_extension (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5092964Z Externing c extensions modules should allow us to still access them especially those found in torch._C. ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:32:49.5093655Z warnings.warn(message, UserWarning) 2022-11-23T01:32:49.5093914Z ok (0.007s) 2022-11-23T01:32:49.5094197Z test_implicit_intern (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5094601Z The save_module APIs should implicitly intern the module being saved. ... ok (0.001s) 2022-11-23T01:32:49.5094998Z test_intern_error (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5095383Z Failure to handle all dependencies should lead to an error. ... ok (0.002s) 2022-11-23T01:32:49.5095762Z test_invalid_import (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5096257Z An incorrectly-formed import should raise a PackagingError. ... ok (0.001s) 2022-11-23T01:32:49.5096651Z test_mock (test_dependency_api.TestDependencyAPI) ... ok (0.002s) 2022-11-23T01:32:49.5097019Z test_mock_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s) 2022-11-23T01:32:49.5097413Z test_mock_glob_allow_empty (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5098007Z Test that an error is thrown when a mock glob is specified with allow_empty=True ... ok (0.001s) 2022-11-23T01:32:49.5098442Z test_pickle_mocked (test_dependency_api.TestDependencyAPI) ... ok (0.001s) 2022-11-23T01:32:49.5098845Z test_pickle_mocked_all (test_dependency_api.TestDependencyAPI) ... ok (0.001s) 2022-11-23T01:32:49.5099257Z test_repackage_mocked_module (test_dependency_api.TestDependencyAPI) 2022-11-23T01:32:49.5099790Z Re-packaging a package that contains a mocked module should work correctly. ... ok (0.003s) 2022-11-23T01:32:49.5100298Z test_extern_and_mock_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.002s) 2022-11-23T01:32:49.5100740Z test_multiple_extern_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:32:49.5101188Z test_multiple_mock_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:32:49.5101615Z test_remove_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:32:49.5102015Z test_single_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:32:49.5102398Z test_all_paths (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5102747Z test_contains (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5103098Z test_contains_non_hashable (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5103453Z test_edges (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5103802Z test_forward_closure (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5104140Z test_iter (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5104489Z test_node_attr_update (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5104847Z test_node_attrs (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5105216Z test_predecessor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5105580Z test_predecessors (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5105947Z test_successor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5106317Z test_successors (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:32:49.5106697Z test_importer_access (test_directory_reader.DirectoryReaderTest) ... ok (0.004s) 2022-11-23T01:32:49.5107114Z test_loading_has_record (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5107550Z Test DirectoryReader's has_record(). ... ok (0.003s) 2022-11-23T01:32:49.5107915Z test_loading_module (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5108313Z Test basic saving and loading of a packages from a DirectoryReader. ... ok (0.003s) 2022-11-23T01:32:49.5108823Z test_loading_pickle (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5109388Z Test basic saving and loading of modules and pickles from a DirectoryReader. ... skip: Does not work with latest TorchVision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s) 2022-11-23T01:32:49.5109921Z test_package_resource_access (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5110365Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.003s) 2022-11-23T01:32:49.5110798Z test_resource_access_by_path (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5111216Z Tests that packaged code can used importlib.resources.path. ... ok (0.005s) 2022-11-23T01:32:49.5111611Z test_resource_reader (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5112008Z Tests DirectoryReader as the base for get_resource_reader. ... ok (0.007s) 2022-11-23T01:32:49.5112424Z test_scriptobject_failure_message (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:32:49.5112828Z Test basic saving and loading of a ScriptModule in a directory. ... ok (0.011s) 2022-11-23T01:32:49.5113204Z test_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5113572Z test_exclude_from_all (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5113944Z test_invalid_raw (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5114365Z test_list_include_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5114741Z test_one_star (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5115109Z test_one_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5115495Z test_one_star_multiple_in_component (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5115900Z test_one_star_partial (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5116342Z test_one_star_partial_extension (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5116721Z test_raw_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5117084Z test_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5117443Z test_two_star_end (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5117816Z test_two_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5118188Z test_two_star_multiple (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:32:49.5118583Z test_ordered_importer_basic (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:32:49.5118977Z test_ordered_importer_whichmodule (test_importer.TestImporter) 2022-11-23T01:32:49.5119465Z OrderedImporter's implementation of whichmodule should try each ... ok (0.001s) 2022-11-23T01:32:49.5119893Z test_package_importer_whichmodule_no_dunder_module (test_importer.TestImporter) 2022-11-23T01:32:49.5120363Z Exercise corner case where we try to pickle an object whose ... ok (0.002s) 2022-11-23T01:32:49.5120758Z test_single_ordered_importer (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:32:49.5121125Z test_sys_importer (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:32:49.5121508Z test_sys_importer_roundtrip (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:32:49.5121925Z test_load_bc_packages_fx_module (test_load_bc_packages.TestLoadBCPackages) 2022-11-23T01:32:49.5122389Z Tests for backwards compatible fx module ... ok (0.011s) 2022-11-23T01:32:49.5122773Z test_load_bc_packages_nn_module (test_load_bc_packages.TestLoadBCPackages) 2022-11-23T01:32:49.5123135Z Tests for backwards compatible nn module ... ok (0.008s) 2022-11-23T01:32:49.5123533Z test_load_bc_packages_torchscript_module (test_load_bc_packages.TestLoadBCPackages) 2022-11-23T01:32:49.5123943Z Tests for backwards compatible torchscript module ... ok (0.038s) 2022-11-23T01:32:49.5124284Z test_demangle_base (test_mangling.TestMangling) 2022-11-23T01:32:49.5124675Z Demangling a mangle parent directly should currently return an empty string. ... ok (0.001s) 2022-11-23T01:32:49.5125396Z test_demangler_multiple_manglers (test_mangling.TestMangling) 2022-11-23T01:32:49.5125834Z PackageDemangler should be able to demangle name generated by any PackageMangler. ... ok (0.001s) 2022-11-23T01:32:49.5126239Z test_is_mangled (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:32:49.5126623Z test_mangle_empty_errors (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:32:49.5127000Z test_mangle_prefix (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:32:49.5127348Z test_mangler_is_consistent (test_mangling.TestMangling) 2022-11-23T01:32:49.5127722Z Mangling the same name twice should produce the same result. ... ok (0.001s) 2022-11-23T01:32:49.5128107Z test_package_mangler (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:32:49.5128494Z test_roundtrip_mangling (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:32:49.5128837Z test_unique_manglers (test_mangling.TestMangling) 2022-11-23T01:32:49.5129233Z Each mangler instance should generate a unique mangled name for a given input. ... ok (0.001s) 2022-11-23T01:32:49.5129642Z test_unique_module_names (test_mangling.TestMangling) ... ok (0.003s) 2022-11-23T01:32:49.5129981Z test_dunder_package_present (test_misc.TestMisc) 2022-11-23T01:32:49.5130556Z The attribute '__torch_package__' should be populated on imported modules. ... ok (0.001s) 2022-11-23T01:32:49.5130959Z test_dunder_package_works_from_package (test_misc.TestMisc) 2022-11-23T01:32:49.5131419Z The attribute '__torch_package__' should be accessible from within ... ok (0.003s) 2022-11-23T01:32:49.5131782Z test_exporter_content_lists (test_misc.TestMisc) 2022-11-23T01:32:49.5132241Z Test content list API for PackageExporter's contained modules. ... ok (0.003s) 2022-11-23T01:32:49.5132640Z test_file_structure (test_misc.TestMisc) 2022-11-23T01:32:49.5133100Z Tests package's Directory structure representation of a zip file. Ensures ... ok (0.003s) 2022-11-23T01:32:49.5133477Z test_file_structure_has_file (test_misc.TestMisc) 2022-11-23T01:32:49.5133858Z Test Directory's has_file() method. ... ok (0.001s) 2022-11-23T01:32:49.5134150Z test_inspect_class (test_misc.TestMisc) 2022-11-23T01:32:49.5134487Z Should be able to retrieve source for a packaged class. ... ok (0.002s) 2022-11-23T01:32:49.5134820Z test_is_from_package (test_misc.TestMisc) 2022-11-23T01:32:49.5135141Z is_from_package should work for objects and modules ... ok (0.001s) 2022-11-23T01:32:49.5135500Z test_load_python_version_from_package (test_misc.TestMisc) 2022-11-23T01:32:49.5135863Z Tests loading a package with a python version embdded ... ok (0.003s) 2022-11-23T01:32:49.5136200Z test_python_version (test_misc.TestMisc) 2022-11-23T01:32:49.5136562Z Tests that the current python version is stored in the package and is available ... ok (0.003s) 2022-11-23T01:32:49.5136947Z test_std_lib_sys_hackery_checks (test_misc.TestMisc) 2022-11-23T01:32:49.5137321Z The standard library performs sys.module assignment hackery which ... ok (0.003s) 2022-11-23T01:32:49.5137831Z test_model_save (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s) 2022-11-23T01:32:49.5138430Z test_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s) 2022-11-23T01:32:49.5139020Z test_script_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s) 2022-11-23T01:32:49.5139520Z test_package_fx_custom_tracer (test_package_fx.TestPackageFX) ... ok (0.010s) 2022-11-23T01:32:49.5139904Z test_package_fx_package (test_package_fx.TestPackageFX) ... ok (0.018s) 2022-11-23T01:32:49.5140287Z test_package_fx_simple (test_package_fx.TestPackageFX) ... ok (0.006s) 2022-11-23T01:32:49.5140680Z test_package_fx_with_imports (test_package_fx.TestPackageFX) ... ok (0.005s) 2022-11-23T01:32:49.5141068Z test_package_then_fx (test_package_fx.TestPackageFX) ... ok (0.004s) 2022-11-23T01:32:49.5141460Z test_different_package_interface (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5141866Z Test a case where the interface defined in the package is ... ok (0.011s) 2022-11-23T01:32:49.5142280Z test_different_package_script_class (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5142675Z Test a case where the script class defined in the package is ... ok (0.006s) 2022-11-23T01:32:49.5143079Z test_load_shared_scriptmodules (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5143491Z Test loading of single ScriptModule shared by multiple eager ... ok (0.008s) 2022-11-23T01:32:49.5143869Z test_load_shared_tensors (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5144262Z Test tensors shared across eager and ScriptModules on load ... ok (0.009s) 2022-11-23T01:32:49.5144669Z test_load_shared_tensors_repackaged (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5145071Z Test tensors shared across eager and ScriptModules on load ... ok (0.012s) 2022-11-23T01:32:49.5145473Z test_mixing_packaged_and_inline_modules (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5145887Z Test saving inline and imported modules in same package with ... ok (0.048s) 2022-11-23T01:32:49.5146358Z test_mixing_packaged_and_inline_modules_shared_code (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5146777Z Test saving inline and imported modules in same package that ... ok (0.864s) 2022-11-23T01:32:49.5147167Z test_package_interface (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5147546Z Packaging an interface class should work correctly. ... ok (0.041s) 2022-11-23T01:32:49.5147952Z test_package_script_class (test_package_script.TestPackageScript) ... ok (0.005s) 2022-11-23T01:32:49.5148442Z test_package_script_class_referencing_self (test_package_script.TestPackageScript) ... ok (0.013s) 2022-11-23T01:32:49.5148902Z test_save_eager_mods_sharing_scriptmodule (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5149312Z Test saving of single ScriptModule shared by multiple ... ok (0.005s) 2022-11-23T01:32:49.5149703Z test_save_independent_scriptmodules (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5150114Z Test to verify saving multiple ScriptModules with completely ... ok (0.009s) 2022-11-23T01:32:49.5150525Z test_save_repeat_scriptmodules (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5150916Z Test to verify saving multiple different modules and ... ok (0.043s) 2022-11-23T01:32:49.5151278Z test_save_scriptmodule (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5151622Z Test basic saving of ScriptModule. ... ok (0.005s) 2022-11-23T01:32:49.5151984Z test_save_scriptmodule_file (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5152344Z Test basic saving of ScriptModule in file. ... ok (0.004s) 2022-11-23T01:32:49.5152738Z test_save_scriptmodule_only_necessary_code (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5153147Z Test to verify when saving multiple packages with same CU ... ok (0.338s) 2022-11-23T01:32:49.5153554Z test_save_scriptmodule_with_submods (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5153929Z Test basic saving of ScriptModule with submodule. ... ok (0.007s) 2022-11-23T01:32:49.5154329Z test_save_scriptmodules_in_container (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5154758Z Test saving of ScriptModules inside of container. Checks that relations ... ok (0.036s) 2022-11-23T01:32:49.5155189Z test_save_scriptmodules_submod_redefinition (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5155619Z Test to verify saving multiple ScriptModules with same top module ... ok (0.013s) 2022-11-23T01:32:49.5156015Z test_save_shared_tensors (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5156426Z Test tensors shared across eager and ScriptModules are serialized once. ... ok (0.007s) 2022-11-23T01:32:49.5156848Z test_saving_and_scripting_packaged_mod (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5157239Z Test scripting a module loaded from a package ... ok (0.009s) 2022-11-23T01:32:49.5157618Z test_scriptmodules_repeat_save (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5158015Z Test to verify saving and loading same ScriptModule object works ... ok (0.011s) 2022-11-23T01:32:49.5158416Z test_tensor_sharing_pickle (test_package_script.TestPackageScript) 2022-11-23T01:32:49.5158815Z Test that saving a ScriptModule and a separately saving a tensor ... ok (0.005s) 2022-11-23T01:32:49.5159250Z test_repackage_import_indirectly_via_parent_module (test_repackage.TestRepackage) ... ok (0.005s) 2022-11-23T01:32:49.5159678Z test_importer_access (test_resources.TestResources) ... ok (0.002s) 2022-11-23T01:32:49.5160154Z test_package_resource_access (test_resources.TestResources) 2022-11-23T01:32:49.5160568Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.001s) 2022-11-23T01:32:49.5160964Z test_resource_access_by_path (test_resources.TestResources) 2022-11-23T01:32:49.5161360Z Tests that packaged code can used importlib.resources.path. ... ok (0.002s) 2022-11-23T01:32:49.5161747Z test_resource_reader (test_resources.TestResources) 2022-11-23T01:32:49.5162160Z Test compliance with the get_resource_reader importlib API. ... ok (0.003s) 2022-11-23T01:32:49.5162527Z test_bad_dunder_imports (test_save_load.TestSaveLoad) 2022-11-23T01:32:49.5163019Z Test to ensure bad __imports__ don't cause PackageExporter to fail. ... ok (0.001s) 2022-11-23T01:32:49.5163411Z test_dunder_imports (test_save_load.TestSaveLoad) ... ok (0.003s) 2022-11-23T01:32:49.5163767Z test_exporting_mismatched_code (test_save_load.TestSaveLoad) 2022-11-23T01:32:49.5164153Z If an object with the same qualified name is loaded from different ... ok (0.004s) 2022-11-23T01:32:49.5164565Z test_pickle (test_save_load.TestSaveLoad) ... ok (0.002s) 2022-11-23T01:32:49.5165000Z test_save_imported_module (test_save_load.TestSaveLoad) 2022-11-23T01:32:49.5165389Z Saving a module that came from another PackageImporter should work. ... ok (0.002s) 2022-11-23T01:32:49.5165819Z test_save_imported_module_using_package_importer (test_save_load.TestSaveLoad) 2022-11-23T01:32:49.5166376Z Exercise a corner case: re-packaging a module that uses `torch_package_importer` ... ok (0.003s) 2022-11-23T01:32:49.5166768Z test_save_module (test_save_load.TestSaveLoad) ... ok (0.002s) 2022-11-23T01:32:49.5167134Z test_save_module_binary (test_save_load.TestSaveLoad) ... ok (0.001s) 2022-11-23T01:32:49.5167499Z test_saving_source (test_save_load.TestSaveLoad) ... ok (0.005s) 2022-11-23T01:32:49.5167841Z test_saving_string (test_save_load.TestSaveLoad) ... ok (0.001s) 2022-11-23T01:32:49.5168045Z 2022-11-23T01:32:49.5168319Z ---------------------------------------------------------------------- 2022-11-23T01:32:49.5168636Z Ran 132 tests in 2.025s 2022-11-23T01:32:49.5168783Z 2022-11-23T01:32:49.5168860Z OK (skipped=5) 2022-11-23T01:32:49.5168998Z 2022-11-23T01:32:49.5169110Z Generating XML reports... 2022-11-23T01:32:49.5169696Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_api.TestDependencyAPI-20221123013247.xml 2022-11-23T01:32:49.5170461Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_hooks.TestDependencyHooks-20221123013247.xml 2022-11-23T01:32:49.5171164Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_digraph.TestDiGraph-20221123013247.xml 2022-11-23T01:32:49.5171903Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_directory_reader.DirectoryReaderTest-20221123013247.xml 2022-11-23T01:32:49.5172617Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_glob_group.TestGlobGroup-20221123013247.xml 2022-11-23T01:32:49.5173317Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_importer.TestImporter-20221123013247.xml 2022-11-23T01:32:49.5174041Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_load_bc_packages.TestLoadBCPackages-20221123013247.xml 2022-11-23T01:32:49.5174758Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_mangling.TestMangling-20221123013247.xml 2022-11-23T01:32:49.5175424Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_misc.TestMisc-20221123013247.xml 2022-11-23T01:32:49.5176100Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_fx.TestPackageFX-20221123013247.xml 2022-11-23T01:32:49.5176805Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_script.TestPackageScript-20221123013247.xml 2022-11-23T01:32:49.5177533Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_repackage.TestRepackage-20221123013247.xml 2022-11-23T01:32:49.5178241Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_resources.TestResources-20221123013247.xml 2022-11-23T01:32:49.5178935Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_save_load.TestSaveLoad-20221123013247.xml 2022-11-23T01:32:49.5179599Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_analyze.TestAnalyze-20221123013247.xml 2022-11-23T01:32:49.5180342Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_model.ModelTest-20221123013247.xml 2022-11-23T01:32:49.5180630Z 2022-11-23T01:32:49.5181051Z ##[endgroup] 2022-11-23T01:32:49.5181535Z FINISHED PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_aym8qkyi) 2022-11-23T01:32:49.5181807Z 2022-11-23T01:32:51.7249126Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:51.8027864Z Ignoring disabled issues: [] 2022-11-23T01:32:51.8201434Z Running test_per_overload_api ... [2022-11-23 01:32:51.819806] 2022-11-23T01:32:51.8203864Z Executing ['/opt/conda/bin/python', '-bb', 'test_per_overload_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:51.820132] 2022-11-23T01:32:53.9015438Z 2022-11-23T01:32:53.9015979Z Expand the folded group to see the log file of test_per_overload_api 2022-11-23T01:32:53.9017101Z ##[group]PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_hpubhkqs) 2022-11-23T01:32:53.9017524Z 2022-11-23T01:32:53.9017683Z Running tests... 2022-11-23T01:32:53.9018293Z ---------------------------------------------------------------------- 2022-11-23T01:32:53.9019030Z Test results will be stored in test-reports/python-unittest/test_per_overload_api 2022-11-23T01:32:53.9019606Z test_basics_opoverload (__main__.TestPerOverloadAPI) ... ok (0.247s) 2022-11-23T01:32:53.9020171Z test_basics_opoverloadpacket (__main__.TestPerOverloadAPI) ... ok (0.002s) 2022-11-23T01:32:53.9020622Z test_decompose (__main__.TestPerOverloadAPI) ... ok (0.001s) 2022-11-23T01:32:53.9020824Z 2022-11-23T01:32:53.9021026Z ---------------------------------------------------------------------- 2022-11-23T01:32:53.9021250Z Ran 3 tests in 0.251s 2022-11-23T01:32:53.9021364Z 2022-11-23T01:32:53.9021459Z OK 2022-11-23T01:32:53.9021570Z 2022-11-23T01:32:53.9021653Z Generating XML reports... 2022-11-23T01:32:53.9022081Z Generated XML report: test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221123013253.xml 2022-11-23T01:32:53.9022388Z 2022-11-23T01:32:53.9022617Z ##[endgroup] 2022-11-23T01:32:53.9023072Z FINISHED PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_hpubhkqs) 2022-11-23T01:32:53.9023303Z 2022-11-23T01:32:56.3167181Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:32:56.4033170Z Ignoring disabled issues: [] 2022-11-23T01:32:56.4245481Z Running test_proxy_tensor ... [2022-11-23 01:32:56.424124] 2022-11-23T01:32:56.4246776Z Executing ['/opt/conda/bin/python', '-bb', 'test_proxy_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:56.424402] 2022-11-23T01:33:25.3973258Z 2022-11-23T01:33:25.3973740Z Expand the folded group to see the log file of test_proxy_tensor 2022-11-23T01:33:25.3974460Z ##[group]PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_kp47kwvz) 2022-11-23T01:33:25.3974725Z 2022-11-23T01:33:25.3974862Z Running tests... 2022-11-23T01:33:25.3976175Z ---------------------------------------------------------------------- 2022-11-23T01:33:25.3976821Z Test results will be stored in test-reports/python-unittest/test_proxy_tensor 2022-11-23T01:33:25.3977392Z test_alias (__main__.TestFakeProxyTensor) ... ok (0.007s) 2022-11-23T01:33:25.3977790Z test_issue82547 (__main__.TestFakeProxyTensor) ... ok (0.006s) 2022-11-23T01:33:25.3978047Z test_meta (__main__.TestFakeProxyTensor) ... ok (0.007s) 2022-11-23T01:33:25.3978332Z test_use_fake_and_tensor (__main__.TestFakeProxyTensor) ... ok (0.007s) 2022-11-23T01:33:25.3978632Z test_allclose (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:33:25.3979049Z test_amp_cache (__main__.TestGenericProxyTensorFake) ... skip: CUDA-only test (0.001s) 2022-11-23T01:33:25.3979373Z test_constant_blowup (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:33:25.3979700Z test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorFake) ... ok (0.007s) 2022-11-23T01:33:25.3980228Z test_constant_random (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:33:25.3980537Z test_constant_unbind (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3980858Z test_decomp_of_capture (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:33:25.3981196Z test_decomposition_interpreter (__main__.TestGenericProxyTensorFake) ... ok (0.009s) 2022-11-23T01:33:25.3981581Z test_has_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3981920Z test_inplace_metadata (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3982365Z test_isolated_graphmodule (__main__.TestGenericProxyTensorFake) ... ok (0.058s) 2022-11-23T01:33:25.3982836Z test_make_fx_model_double_param (__main__.TestGenericProxyTensorFake) ... ok (0.010s) 2022-11-23T01:33:25.3983309Z test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorFake) ... ok (0.032s) 2022-11-23T01:33:25.3983810Z test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorFake) ... ok (0.036s) 2022-11-23T01:33:25.3984288Z test_make_fx_overloads (__main__.TestGenericProxyTensorFake) ... ok (0.007s) 2022-11-23T01:33:25.3984772Z test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorFake) ... ok (0.007s) 2022-11-23T01:33:25.3985528Z test_make_fx_simple (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3986340Z test_mode_tracing_factory_function (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:33:25.3987170Z test_partial_decomp (__main__.TestGenericProxyTensorFake) ... ok (0.018s) 2022-11-23T01:33:25.3987893Z test_pr_86917 (__main__.TestGenericProxyTensorFake) ... ok (0.011s) 2022-11-23T01:33:25.3988644Z test_proxy_tensor (__main__.TestGenericProxyTensorFake) ... ok (0.027s) 2022-11-23T01:33:25.3989515Z test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3990428Z test_resnet18_backward_trace (__main__.TestGenericProxyTensorFake) ... ok (1.799s) 2022-11-23T01:33:25.3991205Z test_scalar_device (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:33:25.3991937Z test_strides (__main__.TestGenericProxyTensorFake) ... ok (0.010s) 2022-11-23T01:33:25.3992694Z test_tensor_constants (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3993434Z test_trace_subclasses (__main__.TestGenericProxyTensorFake) ... ok (0.009s) 2022-11-23T01:33:25.3994232Z test_val_metadata_mutation (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:33:25.3994991Z test_varargs (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:33:25.3995713Z test_allclose (__main__.TestGenericProxyTensorReal) ... ok (0.003s) 2022-11-23T01:33:25.3996736Z test_amp_cache (__main__.TestGenericProxyTensorReal) ... skip: CUDA-only test (0.001s) 2022-11-23T01:33:25.3997564Z test_constant_blowup (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.3998373Z test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorReal) ... ok (0.006s) 2022-11-23T01:33:25.3999133Z test_constant_random (__main__.TestGenericProxyTensorReal) ... ok (0.003s) 2022-11-23T01:33:25.3999988Z test_constant_unbind (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.4000780Z test_decomp_of_capture (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4001583Z test_decomposition_interpreter (__main__.TestGenericProxyTensorReal) ... ok (0.006s) 2022-11-23T01:33:25.4002348Z test_has_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.4003102Z test_inplace_metadata (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.4003896Z test_isolated_graphmodule (__main__.TestGenericProxyTensorReal) ... ok (0.050s) 2022-11-23T01:33:25.4004705Z test_make_fx_model_double_param (__main__.TestGenericProxyTensorReal) ... ok (0.008s) 2022-11-23T01:33:25.4005900Z test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorReal) ... ok (0.022s) 2022-11-23T01:33:25.4006730Z test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorReal) ... ok (0.027s) 2022-11-23T01:33:25.4007556Z test_make_fx_overloads (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4008345Z test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4009246Z test_make_fx_simple (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.4010012Z test_mode_tracing_factory_function (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.4010797Z test_partial_decomp (__main__.TestGenericProxyTensorReal) ... ok (0.014s) 2022-11-23T01:33:25.4011541Z test_pr_86917 (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4012266Z test_proxy_tensor (__main__.TestGenericProxyTensorReal) ... ok (0.023s) 2022-11-23T01:33:25.4013131Z test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4014037Z test_resnet18_backward_trace (__main__.TestGenericProxyTensorReal) ... ok (1.439s) 2022-11-23T01:33:25.4014828Z test_scalar_device (__main__.TestGenericProxyTensorReal) ... ok (0.006s) 2022-11-23T01:33:25.4015603Z test_strides (__main__.TestGenericProxyTensorReal) ... ok (0.010s) 2022-11-23T01:33:25.4016369Z test_tensor_constants (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4017147Z test_trace_subclasses (__main__.TestGenericProxyTensorReal) ... ok (0.010s) 2022-11-23T01:33:25.4017961Z test_val_metadata_mutation (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:33:25.4018731Z test_varargs (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:33:25.4019485Z test_allclose (__main__.TestGenericProxyTensorSymbolic) ... ok (0.042s) 2022-11-23T01:33:25.4020536Z test_amp_cache (__main__.TestGenericProxyTensorSymbolic) ... skip: CUDA-only test (0.001s) 2022-11-23T01:33:25.4021355Z test_constant_blowup (__main__.TestGenericProxyTensorSymbolic) ... ok (0.006s) 2022-11-23T01:33:25.4022157Z test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorSymbolic) ... ok (0.007s) 2022-11-23T01:33:25.4023013Z test_constant_random (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s) 2022-11-23T01:33:25.4023825Z test_constant_unbind (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:33:25.4024679Z test_decomp_of_capture (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:33:25.4025538Z test_decomposition_interpreter (__main__.TestGenericProxyTensorSymbolic) ... ok (0.027s) 2022-11-23T01:33:25.4026381Z test_has_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s) 2022-11-23T01:33:25.4027176Z test_inplace_metadata (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s) 2022-11-23T01:33:25.4028018Z test_isolated_graphmodule (__main__.TestGenericProxyTensorSymbolic) ... ok (0.051s) 2022-11-23T01:33:25.4028885Z test_make_fx_model_double_param (__main__.TestGenericProxyTensorSymbolic) ... ok (0.008s) 2022-11-23T01:33:25.4029752Z test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorSymbolic) ... ok (0.139s) 2022-11-23T01:33:25.4030618Z test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorSymbolic) ... ok (0.133s) 2022-11-23T01:33:25.4031515Z test_make_fx_overloads (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.016s) 2022-11-23T01:33:25.4032425Z test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s) 2022-11-23T01:33:25.4033251Z test_make_fx_simple (__main__.TestGenericProxyTensorSymbolic) ... ok (0.009s) 2022-11-23T01:33:25.4034077Z test_mode_tracing_factory_function (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s) 2022-11-23T01:33:25.4034943Z test_partial_decomp (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s) 2022-11-23T01:33:25.4035819Z test_pr_86917 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.024s) 2022-11-23T01:33:25.4036605Z test_proxy_tensor (__main__.TestGenericProxyTensorSymbolic) ... ok (0.068s) 2022-11-23T01:33:25.4037525Z test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:33:25.4038450Z test_resnet18_backward_trace (__main__.TestGenericProxyTensorSymbolic) ... ok (19.784s) 2022-11-23T01:33:25.4039289Z test_scalar_device (__main__.TestGenericProxyTensorSymbolic) ... ok (0.017s) 2022-11-23T01:33:25.4040243Z test_strides (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s) 2022-11-23T01:33:25.4041052Z test_tensor_constants (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:33:25.4041909Z test_trace_subclasses (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.009s) 2022-11-23T01:33:25.4042807Z test_val_metadata_mutation (__main__.TestGenericProxyTensorSymbolic) ... ok (0.019s) 2022-11-23T01:33:25.4043617Z test_varargs (__main__.TestGenericProxyTensorSymbolic) ... ok (0.024s) 2022-11-23T01:33:25.4044357Z test_binary_broadcast (__main__.TestSymbolicTracing) ... ok (0.041s) 2022-11-23T01:33:25.4045131Z test_cat (__main__.TestSymbolicTracing) ... ok (0.064s) 2022-11-23T01:33:25.4045822Z test_elementwise_meta_with_sym_numbers (__main__.TestSymbolicTracing) ... ok (0.049s) 2022-11-23T01:33:25.4046531Z test_expand (__main__.TestSymbolicTracing) ... ok (0.038s) 2022-11-23T01:33:25.4047197Z test_guards_equal (__main__.TestSymbolicTracing) ... ok (0.426s) 2022-11-23T01:33:25.4047858Z test_mega_guard (__main__.TestSymbolicTracing) ... ok (0.029s) 2022-11-23T01:33:25.4048508Z test_metadata (__main__.TestSymbolicTracing) ... ok (0.023s) 2022-11-23T01:33:25.4049188Z test_metadata_fresh (__main__.TestSymbolicTracing) ... ok (0.013s) 2022-11-23T01:33:25.4049873Z test_multiply_shape (__main__.TestSymbolicTracing) ... ok (0.011s) 2022-11-23T01:33:25.4050538Z test_neg_shape (__main__.TestSymbolicTracing) ... ok (0.030s) 2022-11-23T01:33:25.4052634Z test_new_empty (__main__.TestSymbolicTracing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83408 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:33:25.4054116Z test_nonidentity_transitive_guards (__main__.TestSymbolicTracing) ... ok (0.083s) 2022-11-23T01:33:25.4054865Z test_return_symint (__main__.TestSymbolicTracing) ... ok (0.028s) 2022-11-23T01:33:25.4055528Z test_rmethod (__main__.TestSymbolicTracing) ... ok (0.013s) 2022-11-23T01:33:25.4056161Z test_size_with_tensor (__main__.TestSymbolicTracing) ... ok (0.038s) 2022-11-23T01:33:25.4056821Z test_sqrt_size (__main__.TestSymbolicTracing) ... ok (0.014s) 2022-11-23T01:33:25.4057490Z test_sym_storage_offset (__main__.TestSymbolicTracing) ... ok (0.026s) 2022-11-23T01:33:25.4058150Z test_symint_to_tensor (__main__.TestSymbolicTracing) ... ok (0.025s) 2022-11-23T01:33:25.4058802Z test_unary (__main__.TestSymbolicTracing) ... ok (0.030s) 2022-11-23T01:33:25.4059163Z 2022-11-23T01:33:25.4059650Z ---------------------------------------------------------------------- 2022-11-23T01:33:25.4060198Z Ran 110 tests in 25.293s 2022-11-23T01:33:25.4060455Z 2022-11-23T01:33:25.4060673Z OK (skipped=4, expected failures=2) 2022-11-23T01:33:25.4060982Z 2022-11-23T01:33:25.4061185Z Generating XML reports... 2022-11-23T01:33:25.4062167Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123013259.xml 2022-11-23T01:33:25.4063461Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123013259.xml 2022-11-23T01:33:25.4064823Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123013259.xml 2022-11-23T01:33:25.4066482Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123013259.xml 2022-11-23T01:33:25.4067896Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123013259.xml 2022-11-23T01:33:25.4068494Z 2022-11-23T01:33:25.4069106Z ##[endgroup] 2022-11-23T01:33:25.4070030Z FINISHED PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_kp47kwvz) 2022-11-23T01:33:25.4070668Z 2022-11-23T01:33:27.3767299Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:27.4552513Z Ignoring disabled issues: [] 2022-11-23T01:33:27.4725042Z Running test_pruning_op ... [2022-11-23 01:33:27.472229] 2022-11-23T01:33:27.4727551Z Executing ['/opt/conda/bin/python', '-bb', 'test_pruning_op.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:27.472499] 2022-11-23T01:33:29.1155542Z 2022-11-23T01:33:29.1156127Z Expand the folded group to see the log file of test_pruning_op 2022-11-23T01:33:29.1157052Z ##[group]PRINTING LOG FILE of test_pruning_op (/var/lib/jenkins/workspace/test/test-reports/test_pruning_op_ltbgu4wu) 2022-11-23T01:33:29.1157283Z 2022-11-23T01:33:29.1158292Z ##[endgroup] 2022-11-23T01:33:29.1159364Z FINISHED PRINTING LOG FILE of test_pruning_op (/var/lib/jenkins/workspace/test/test-reports/test_pruning_op_ltbgu4wu) 2022-11-23T01:33:29.1159989Z 2022-11-23T01:33:31.0578830Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:31.1351330Z Ignoring disabled issues: [] 2022-11-23T01:33:31.1525934Z Running test_public_bindings ... [2022-11-23 01:33:31.152297] 2022-11-23T01:33:31.1527865Z Executing ['/opt/conda/bin/python', '-bb', 'test_public_bindings.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:31.152575] 2022-11-23T01:33:34.9837910Z 2022-11-23T01:33:34.9838427Z Expand the folded group to see the log file of test_public_bindings 2022-11-23T01:33:34.9839317Z ##[group]PRINTING LOG FILE of test_public_bindings (/var/lib/jenkins/workspace/test/test-reports/test_public_bindings_obhast19) 2022-11-23T01:33:34.9839749Z 2022-11-23T01:33:34.9841982Z Running tests... 2022-11-23T01:33:34.9842758Z ---------------------------------------------------------------------- 2022-11-23T01:33:34.9843520Z Test results will be stored in test-reports/python-unittest/test_public_bindings 2022-11-23T01:33:34.9844098Z test_correct_module_names (__main__.TestPublicBindings) 2022-11-23T01:33:34.9845155Z An API is considered public, if its `__module__` starts with `torch.` ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:34.9845652Z ok (1.863s) 2022-11-23T01:33:34.9846026Z test_no_new_bindings (__main__.TestPublicBindings) 2022-11-23T01:33:34.9846567Z This test aims to stop the introduction of new JIT bindings into torch._C ... ok (0.003s) 2022-11-23T01:33:34.9846896Z 2022-11-23T01:33:34.9847337Z ---------------------------------------------------------------------- 2022-11-23T01:33:34.9847767Z Ran 2 tests in 1.866s 2022-11-23T01:33:34.9847990Z 2022-11-23T01:33:34.9848124Z OK 2022-11-23T01:33:34.9848283Z 2022-11-23T01:33:34.9848411Z Generating XML reports... 2022-11-23T01:33:34.9849215Z Generated XML report: test-reports/python-unittest/test_public_bindings/TEST-TestPublicBindings-20221123013332.xml 2022-11-23T01:33:34.9849685Z 2022-11-23T01:33:34.9850273Z ##[endgroup] 2022-11-23T01:33:34.9851024Z FINISHED PRINTING LOG FILE of test_public_bindings (/var/lib/jenkins/workspace/test/test-reports/test_public_bindings_obhast19) 2022-11-23T01:33:34.9851444Z 2022-11-23T01:33:36.9286932Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:37.0104643Z Ignoring disabled issues: [] 2022-11-23T01:33:37.0277103Z Running test_python_dispatch ... [2022-11-23 01:33:37.027370] 2022-11-23T01:33:37.0278610Z Executing ['/opt/conda/bin/python', '-bb', 'test_python_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:37.027632] 2022-11-23T01:33:39.2101146Z 2022-11-23T01:33:39.2102849Z Expand the folded group to see the log file of test_python_dispatch 2022-11-23T01:33:39.2103697Z ##[group]PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_k9xaq56l) 2022-11-23T01:33:39.2104064Z 2022-11-23T01:33:39.2104224Z Running tests... 2022-11-23T01:33:39.2106200Z ---------------------------------------------------------------------- 2022-11-23T01:33:39.2106621Z Test results will be stored in test-reports/python-unittest/test_python_dispatch 2022-11-23T01:33:39.2107059Z test_all_same_mode (__main__.TestPythonDispatch) ... ok (0.249s) 2022-11-23T01:33:39.2107352Z test_autograd_in_attr (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2107618Z test_basic (__main__.TestPythonDispatch) ... ok (0.006s) 2022-11-23T01:33:39.2107923Z test_capture_logs_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2108240Z test_construct_int_tensor (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2108526Z test_custom_autograd (__main__.TestPythonDispatch) ... ok (0.004s) 2022-11-23T01:33:39.2108832Z test_deepcopy_non_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2109149Z test_deepcopy_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2109503Z test_deepcopy_wrapper_subclass_with_clone_returning_different_type (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2109857Z test_detach_appears_twice_when_called_once (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2110169Z test_device_slowpath (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2110453Z test_dim_slowpath (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2110731Z test_dispatch_super_call (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2111035Z test_dispatch_super_call_list_arg (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2111355Z test_dispatch_super_dont_autograd (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2111675Z test_error_using_class_method_on_mode (__main__.TestPythonDispatch) ... ok (0.006s) 2022-11-23T01:33:39.2111973Z test_exception_handling (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2112265Z test_fancy_strides (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2112545Z test_format (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2112815Z test_get_cur_mode (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2113100Z test_get_mode_stack (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2113412Z test_index_put_where_only_index_is_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2113848Z test_invalid_ret (__main__.TestPythonDispatch) ... /var/lib/jenkins/workspace/test/test_python_dispatch.py:447: DeprecationWarning: Please use assertRaisesRegex instead. 2022-11-23T01:33:39.2114221Z self.assertRaisesRegexp( 2022-11-23T01:33:39.2114488Z ok (0.001s) 2022-11-23T01:33:39.2114791Z test_is_contiguous_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:33:39.2115151Z test_kwarg_only (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2115445Z test_kwarg_only_and_positional_default (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2115757Z test_layout_slow_path (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2116037Z test_like (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2116289Z test_list_ret (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2116579Z test_make_subclass_with_modes (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2116894Z test_make_wrapper_subclass_noalloc (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2117223Z test_make_wrapper_subclass_propagates_metadata (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2117604Z test_maybe_tuple_bug (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2117901Z test_mode_with_make_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2118202Z test_multiple_ops_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2118502Z test_nested_push_logging_tensor_mode (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2118809Z test_nesting_same_mode (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2119132Z test_new_ones (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2119395Z test_none_wrapping (__main__.TestPythonDispatch) ... ok (0.008s) 2022-11-23T01:33:39.2119689Z test_notimplemented_mode (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2126672Z test_optional_tensor_list (__main__.TestPythonDispatch) ... woof 2022-11-23T01:33:39.2127114Z ok (0.002s) 2022-11-23T01:33:39.2127660Z test_out (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2128209Z test_produce_real_type (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2128493Z test_set_data (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2128783Z test_shallow_copy_and_detach (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2129192Z test_sizes_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:33:39.2129477Z test_standard_is_not_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2130386Z test_storage (__main__.TestPythonDispatch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:33:39.2130931Z warnings.warn(message, UserWarning) 2022-11-23T01:33:39.2131146Z ok (0.002s) 2022-11-23T01:33:39.2131441Z test_storage_can_be_converted_to_python_object (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2131747Z test_strides_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:33:39.2132102Z test_subclass_autograd_device_check (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2132411Z test_subclass_creation (__main__.TestPythonDispatch) ... ok (0.006s) 2022-11-23T01:33:39.2132736Z test_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2133060Z test_tolist_numpy_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:33:39.2133378Z test_torch_dispatch_mode_basic (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2133752Z test_torch_dispatch_mode_respects_no_dispatch (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2134077Z test_torch_dispatch_mode_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2134468Z test_torch_dispatch_mode_unrelated_tensors (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2134768Z test_version (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2135106Z test_with_mode_created_separately (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2135396Z test_with_nested_modes (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:33:39.2135730Z test_wrapper_subclass_serializes (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:33:39.2138990Z test_basic (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:33:39.2139441Z test_lstsq (__main__.TestPythonDispatcher) ... ok (0.010s) 2022-11-23T01:33:39.2139958Z test_alias_analysis (__main__.TestPythonRegistration) ... ok (0.006s) 2022-11-23T01:33:39.2140519Z test_create_new_library (__main__.TestPythonRegistration) ... ok (0.002s) 2022-11-23T01:33:39.2141111Z test_error_for_unsupported_ns_or_kind (__main__.TestPythonRegistration) ... ok (0.001s) 2022-11-23T01:33:39.2141624Z test_error_if_fn_not_callable (__main__.TestPythonRegistration) ... ok (0.001s) 2022-11-23T01:33:39.2141958Z test_extend_library_with_dispatch_key_arg (__main__.TestPythonRegistration) ... ok (0.003s) 2022-11-23T01:33:39.2142698Z test_override_aten_ops_with_multiple_libraries (__main__.TestPythonRegistration) ... /opt/conda/lib/python3.10/site-packages/torch/library.py:125: UserWarning: Overriding a previously registered kernel for the same operator and the same dispatch key 2022-11-23T01:33:39.2143284Z operator: aten::mul.Tensor(Tensor self, Tensor other) -> Tensor 2022-11-23T01:33:39.2143643Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2022-11-23T01:33:39.2143907Z dispatch key: ZeroTensor 2022-11-23T01:33:39.2144213Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1068 2022-11-23T01:33:39.2144633Z new kernel: registered at /dev/null:549 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:159.) 2022-11-23T01:33:39.2145043Z self.m.impl(name, dispatch_key if dispatch_key != "" else "CompositeImplicitAutograd", fn) 2022-11-23T01:33:39.2145301Z ok (0.004s) 2022-11-23T01:33:39.2145537Z test_override_cpu_sum (__main__.TestPythonRegistration) ... ok (0.001s) 2022-11-23T01:33:39.2145847Z test_override_cuda_with_jiterator (__main__.TestPythonRegistration) ... ok (0.003s) 2022-11-23T01:33:39.2146031Z 2022-11-23T01:33:39.2146232Z ---------------------------------------------------------------------- 2022-11-23T01:33:39.2146473Z Ran 72 tests in 0.395s 2022-11-23T01:33:39.2146585Z 2022-11-23T01:33:39.2146634Z OK 2022-11-23T01:33:39.2146723Z 2022-11-23T01:33:39.2146806Z Generating XML reports... 2022-11-23T01:33:39.2147226Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatch-20221123013338.xml 2022-11-23T01:33:39.2147777Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatcher-20221123013338.xml 2022-11-23T01:33:39.2148322Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonRegistration-20221123013338.xml 2022-11-23T01:33:39.2148570Z 2022-11-23T01:33:39.2148871Z ##[endgroup] 2022-11-23T01:33:39.2149277Z FINISHED PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_k9xaq56l) 2022-11-23T01:33:39.2149504Z 2022-11-23T01:33:41.1795089Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:41.2590599Z Ignoring disabled issues: [] 2022-11-23T01:33:41.2765389Z Running test_pytree ... [2022-11-23 01:33:41.276215] 2022-11-23T01:33:41.2768245Z Executing ['/opt/conda/bin/python', '-bb', 'test_pytree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:41.276528] 2022-11-23T01:33:43.4521607Z 2022-11-23T01:33:43.4522074Z Expand the folded group to see the log file of test_pytree 2022-11-23T01:33:43.4523053Z ##[group]PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_sdxe3wlw) 2022-11-23T01:33:43.4523427Z 2022-11-23T01:33:43.4523551Z Running tests... 2022-11-23T01:33:43.4524178Z ---------------------------------------------------------------------- 2022-11-23T01:33:43.4524927Z Test results will be stored in test-reports/python-unittest/test_pytree 2022-11-23T01:33:43.4525466Z test_broadcast_to_and_flatten (__main__.TestPytree) ... ok (0.245s) 2022-11-23T01:33:43.4525903Z test_flatten_unflatten_dict (__main__.TestPytree) ... ok (0.003s) 2022-11-23T01:33:43.4526343Z test_flatten_unflatten_leaf (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:33:43.4526769Z test_flatten_unflatten_list (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:33:43.4527206Z test_flatten_unflatten_namedtuple (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:33:43.4527651Z test_flatten_unflatten_nested (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4528112Z test_flatten_unflatten_odict (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4528829Z test_flatten_unflatten_return_type_max (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:33:43.4529312Z test_flatten_unflatten_return_type_min (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4529745Z test_flatten_unflatten_tuple (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:33:43.4530143Z test_tree_all_any (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4530530Z test_tree_only (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4531050Z test_treemap (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4531461Z test_treespec_equality (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4531863Z test_treespec_repr (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:33:43.4532109Z 2022-11-23T01:33:43.4532510Z ---------------------------------------------------------------------- 2022-11-23T01:33:43.4532905Z Ran 15 tests in 0.266s 2022-11-23T01:33:43.4533077Z 2022-11-23T01:33:43.4533176Z OK 2022-11-23T01:33:43.4533312Z 2022-11-23T01:33:43.4533445Z Generating XML reports... 2022-11-23T01:33:43.4534111Z Generated XML report: test-reports/python-unittest/test_pytree/TEST-TestPytree-20221123013342.xml 2022-11-23T01:33:43.4534451Z 2022-11-23T01:33:43.4534858Z ##[endgroup] 2022-11-23T01:33:43.4535450Z FINISHED PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_sdxe3wlw) 2022-11-23T01:33:43.4535780Z 2022-11-23T01:33:45.6490877Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:45.7269528Z Ignoring disabled issues: [] 2022-11-23T01:33:45.7444532Z Running test_quantization ... [2022-11-23 01:33:45.744103] 2022-11-23T01:33:45.7446502Z Executing ['/opt/conda/bin/python', '-bb', 'test_quantization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:45.744399] 2022-11-23T01:33:53.6690728Z 2022-11-23T01:33:53.6691533Z Expand the folded group to see the log file of test_optim 2022-11-23T01:33:53.6693242Z ##[group]PRINTING LOG FILE of test_optim (/var/lib/jenkins/workspace/test/test-reports/test_optim_3mheqzkx) 2022-11-23T01:33:53.6693902Z 2022-11-23T01:33:53.6694195Z Running tests... 2022-11-23T01:33:53.6695129Z ---------------------------------------------------------------------- 2022-11-23T01:33:53.6696116Z Test results will be stored in test-reports/python-unittest/test_optim 2022-11-23T01:33:53.6697027Z test_adadelta (__main__.TestDifferentiableOptimizer) ... ok (0.255s) 2022-11-23T01:33:53.6698039Z test_adagrad (__main__.TestDifferentiableOptimizer) ... ok (0.007s) 2022-11-23T01:33:53.6698926Z test_adam (__main__.TestDifferentiableOptimizer) ... ok (0.015s) 2022-11-23T01:33:53.6699796Z test_adamax (__main__.TestDifferentiableOptimizer) ... ok (0.010s) 2022-11-23T01:33:53.6700651Z test_adamw (__main__.TestDifferentiableOptimizer) ... ok (0.015s) 2022-11-23T01:33:53.6701508Z test_asgd (__main__.TestDifferentiableOptimizer) ... ok (0.006s) 2022-11-23T01:33:53.6702378Z test_nadam (__main__.TestDifferentiableOptimizer) ... ok (0.014s) 2022-11-23T01:33:53.6703390Z test_radam (__main__.TestDifferentiableOptimizer) ... ok (0.010s) 2022-11-23T01:33:53.6704262Z test_rmsprop (__main__.TestDifferentiableOptimizer) ... ok (0.013s) 2022-11-23T01:33:53.6705124Z test_rprop (__main__.TestDifferentiableOptimizer) ... ok (0.010s) 2022-11-23T01:33:53.6705858Z test_sgd (__main__.TestDifferentiableOptimizer) ... ok (0.004s) 2022-11-23T01:33:53.6706755Z test_CosineAnnealingWarmRestarts_lr1_T_mult_1 (__main__.TestLRScheduler) ... ok (0.009s) 2022-11-23T01:33:53.6707584Z test_CosineAnnealingWarmRestarts_lr1_T_mult_2 (__main__.TestLRScheduler) ... ok (0.008s) 2022-11-23T01:33:53.6708412Z test_CosineAnnealingWarmRestarts_lr1_T_mult_4 (__main__.TestLRScheduler) ... ok (0.008s) 2022-11-23T01:33:53.6709386Z test_CosineAnnealingWarmRestarts_lr2 (__main__.TestLRScheduler) ... ok (0.063s) 2022-11-23T01:33:53.6710176Z test_CosineAnnealingWarmRestarts_lr3 (__main__.TestLRScheduler) ... ok (0.005s) 2022-11-23T01:33:53.6711247Z test_CosineAnnealingWarmRestarts_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6714379Z test_chained_lr1 (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6716420Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6717008Z ok (0.002s) 2022-11-23T01:33:53.6717491Z test_chained_lr2 (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6718180Z test_chained_lr2_get_last_lr_before_step (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6718860Z test_chained_lr3 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6719672Z test_chained_lr4 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6720362Z test_chained_lr5 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6721058Z test_closed_form_constantlr (__main__.TestLRScheduler) ... ok (0.007s) 2022-11-23T01:33:53.6721752Z test_closed_form_cos_anneal_lr (__main__.TestLRScheduler) ... ok (0.007s) 2022-11-23T01:33:53.6722439Z test_closed_form_exp_lr (__main__.TestLRScheduler) ... ok (0.006s) 2022-11-23T01:33:53.6723127Z test_closed_form_linearlr (__main__.TestLRScheduler) ... ok (0.006s) 2022-11-23T01:33:53.6723833Z test_closed_form_multi_step_lr (__main__.TestLRScheduler) ... ok (0.007s) 2022-11-23T01:33:53.6724504Z test_closed_form_poly_lr (__main__.TestLRScheduler) ... ok (0.006s) 2022-11-23T01:33:53.6725295Z test_closed_form_step_lr (__main__.TestLRScheduler) ... ok (0.006s) 2022-11-23T01:33:53.6728118Z test_compound_cosanneal_and_exp_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6730076Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6730686Z ok (0.002s) 2022-11-23T01:33:53.6731231Z test_compound_cosanneal_and_linearlr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6732002Z test_compound_cosanneal_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6733012Z test_compound_cosanneal_and_step_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6733775Z test_compound_exp_and_linearlr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6734514Z test_compound_exp_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6735300Z test_compound_linearlr_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6736071Z test_compound_reduce_lr_on_plateau1 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6736822Z test_compound_reduce_lr_on_plateau2 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6737568Z test_compound_reduce_lr_on_plateau3 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6738315Z test_compound_reduce_lr_on_plateau4 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6739042Z test_compound_reduce_lr_on_plateau5 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6739771Z test_compound_step_and_constantlr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6740488Z test_compound_step_and_exp_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6741370Z test_compound_step_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6742042Z test_constantlr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6742762Z test_constantlr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6743494Z test_constantlr_with_epoch (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6746178Z test_cos_anneal_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6748138Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6748693Z ok (0.002s) 2022-11-23T01:33:53.6749187Z test_cos_anneal_lr_continue (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6749815Z test_cosine_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6750420Z test_cosine_then_cyclic (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6751205Z test_cycle_lr_cycle_momentum_fail_with_momentumless_optimizer (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6752016Z test_cycle_lr_exp_range_mode (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6752703Z test_cycle_lr_exp_range_mode_one_lr (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6753485Z test_cycle_lr_exp_range_mode_step_size_up_down (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6754247Z test_cycle_lr_invalid_mode (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6754955Z test_cycle_lr_removed_after_out_of_scope (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6755701Z test_cycle_lr_triangular2_mode (__main__.TestLRScheduler) ... ok (0.004s) 2022-11-23T01:33:53.6756438Z test_cycle_lr_triangular2_mode_one_lr (__main__.TestLRScheduler) ... ok (0.004s) 2022-11-23T01:33:53.6757228Z test_cycle_lr_triangular2_mode_step_size_up_down (__main__.TestLRScheduler) ... ok (0.005s) 2022-11-23T01:33:53.6757679Z test_cycle_lr_triangular_mode (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6758066Z test_cycle_lr_triangular_mode_one_lr (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6758508Z test_cycle_lr_triangular_mode_one_lr_no_momentum (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6759202Z test_cycle_lr_triangular_mode_step_size_up_down (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6759622Z test_cycle_lr_with_adam (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6760109Z test_cycle_lr_with_momentumless_optimizer (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6760574Z test_error_when_getlr_has_epoch (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6760956Z test_exp_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6761321Z test_exp_step_lr_state_dict (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6761786Z test_exponential_lr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6762250Z test_get_last_lr_constantlr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6762639Z test_get_last_lr_linearlr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6763046Z test_get_last_lr_multi_step_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6764966Z test_get_last_lr_sequentiallr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:151: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose. 2022-11-23T01:33:53.6766088Z warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning) 2022-11-23T01:33:53.6766366Z ok (0.003s) 2022-11-23T01:33:53.6766689Z test_get_last_lr_step_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6768356Z test_lambda_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6769419Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6769754Z ok (0.002s) 2022-11-23T01:33:53.6770077Z test_lambda_lr_state_dict_fn (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6770479Z test_lambda_lr_state_dict_obj (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6770919Z test_linear_linearlr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6772565Z test_linearlr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6773617Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6773963Z ok (0.002s) 2022-11-23T01:33:53.6774296Z test_linearlr_start_factor_limits1 (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6774702Z test_linearlr_start_factor_limits2 (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6775131Z test_linearlr_with_epoch (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6776694Z test_multi_step_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6777744Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6778102Z ok (0.002s) 2022-11-23T01:33:53.6778405Z test_multi_step_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6778800Z test_multi_step_lr_with_epoch (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6780381Z test_multiplicative_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6781559Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6781910Z ok (0.002s) 2022-11-23T01:33:53.6782238Z test_new_pattern_no_warning (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6782663Z test_new_pattern_no_warning_with_arg (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6783122Z test_new_pattern_no_warning_with_overridden_optim_step (__main__.TestLRScheduler) ... ok (0.005s) 2022-11-23T01:33:53.6783538Z test_no_cyclic_references (__main__.TestLRScheduler) ... ok (0.145s) 2022-11-23T01:33:53.6784049Z test_no_cyclic_references_in_step (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6784437Z test_old_pattern_warning (__main__.TestLRScheduler) ... ok (0.004s) 2022-11-23T01:33:53.6784837Z test_old_pattern_warning_resuming (__main__.TestLRScheduler) ... ok (0.004s) 2022-11-23T01:33:53.6785314Z test_old_pattern_warning_resuming_with_arg (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6785768Z test_old_pattern_warning_with_arg (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6786241Z test_old_pattern_warning_with_overridden_optim_step (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6786733Z test_onecycle_lr_cannot_calculate_total_steps (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6787193Z test_onecycle_lr_cosine_annealing (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6787639Z test_onecycle_lr_invalid_anneal_strategy (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6788073Z test_onecycle_lr_invalid_pct_start (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6788492Z test_onecycle_lr_linear_annealing (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6788920Z test_onecycle_lr_linear_annealing_three_phases (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6790498Z test_poly_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6791554Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6791904Z ok (0.002s) 2022-11-23T01:33:53.6792258Z test_polynomial_lr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6792707Z test_reduce_lr_on_plateau1 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6793103Z test_reduce_lr_on_plateau2 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6793495Z test_reduce_lr_on_plateau3 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6793877Z test_reduce_lr_on_plateau4 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6794261Z test_reduce_lr_on_plateau5 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6794639Z test_reduce_lr_on_plateau6 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6795025Z test_reduce_lr_on_plateau7 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6795431Z test_reduce_lr_on_plateau8 (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6795865Z test_reduce_lr_on_plateau_state_dict (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6797622Z test_sequentiallr1 (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6798719Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6800400Z /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:151: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose. 2022-11-23T01:33:53.6801499Z warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning) 2022-11-23T01:33:53.6801788Z ok (0.002s) 2022-11-23T01:33:53.6802103Z test_sequentiallr2 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6802485Z test_sequentiallr3 (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6802854Z test_sequentiallr4 (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6803208Z test_step_lr (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6803622Z test_step_lr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6804052Z test_step_lr_state_dict (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6804479Z test_swa_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6805047Z test_swalr_cosine_anneal_after_multiplicative (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6805466Z test_swalr_hypers (__main__.TestLRScheduler) ... ok (0.001s) 2022-11-23T01:33:53.6805886Z test_swalr_linear_anneal_after_multiplicative (__main__.TestLRScheduler) ... ok (0.003s) 2022-11-23T01:33:53.6806285Z test_swalr_no_anneal (__main__.TestLRScheduler) ... ok (0.002s) 2022-11-23T01:33:53.6807846Z test_adadelta (__main__.TestOptim) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6808910Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6809297Z ok (2.870s) 2022-11-23T01:33:53.6809584Z test_adadelta_complex (__main__.TestOptim) ... ok (0.005s) 2022-11-23T01:33:53.6809943Z test_adagrad (__main__.TestOptim) ... ok (4.002s) 2022-11-23T01:33:53.6810297Z test_adagrad_complex (__main__.TestOptim) ... ok (0.007s) 2022-11-23T01:33:53.6810643Z test_adagrad_sparse (__main__.TestOptim) ... ok (12.054s) 2022-11-23T01:33:53.6811255Z test_adam (__main__.TestOptim) ... ok (9.631s) 2022-11-23T01:33:53.6811728Z test_adamax (__main__.TestOptim) ... ok (2.427s) 2022-11-23T01:33:53.6812073Z test_adamw (__main__.TestOptim) ... ok (2.921s) 2022-11-23T01:33:53.6812388Z test_asgd (__main__.TestOptim) ... ok (3.908s) 2022-11-23T01:33:53.6812755Z test_duplicate_params_in_param_group (__main__.TestOptim) ... ok (0.001s) 2022-11-23T01:33:53.6813117Z test_empty_grad (__main__.TestOptim) ... ok (0.009s) 2022-11-23T01:33:53.6813522Z test_functional_fused_adam_with_foundinf (__main__.TestOptim) ... skip: CUDA is required. (0.002s) 2022-11-23T01:33:53.6813943Z test_fused_optimizers (__main__.TestOptim) ... ok (0.001s) 2022-11-23T01:33:53.6814311Z test_invalid_param_type (__main__.TestOptim) ... ok (0.001s) 2022-11-23T01:33:53.6814635Z test_lbfgs (__main__.TestOptim) ... ok (0.379s) 2022-11-23T01:33:53.6814972Z test_lbfgs_return_type (__main__.TestOptim) ... ok (0.002s) 2022-11-23T01:33:53.6815341Z test_multi_tensor_optimizers (__main__.TestOptim) ... ok (0.002s) 2022-11-23T01:33:53.6817054Z test_nadam (__main__.TestOptim) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate 2022-11-23T01:33:53.6818156Z warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. " 2022-11-23T01:33:53.6818495Z ok (1.492s) 2022-11-23T01:33:53.6818803Z test_no_grad_for_all_params (__main__.TestOptim) ... ok (0.001s) 2022-11-23T01:33:53.6819166Z test_radam (__main__.TestOptim) ... ok (1.616s) 2022-11-23T01:33:53.6819532Z test_rmsprop (__main__.TestOptim) ... ok (7.585s) 2022-11-23T01:33:53.6819941Z test_rprop (__main__.TestOptim) ... ok (3.303s) 2022-11-23T01:33:53.6820338Z test_sgd (__main__.TestOptim) ... ok (7.485s) 2022-11-23T01:33:53.6820749Z test_sgd_complex (__main__.TestOptim) ... ok (0.011s) 2022-11-23T01:33:53.6821168Z test_sgd_sparse (__main__.TestOptim) ... ok (9.088s) 2022-11-23T01:33:53.6821524Z test_sparse_adam (__main__.TestOptim) ... ok (3.045s) 2022-11-23T01:33:53.6821875Z test_averaged_model_all_devices (__main__.TestSWAUtils) ... ok (0.012s) 2022-11-23T01:33:53.6822288Z test_averaged_model_exponential (__main__.TestSWAUtils) ... ok (0.010s) 2022-11-23T01:33:53.6822725Z test_averaged_model_exponential_buffers (__main__.TestSWAUtils) ... ok (0.006s) 2022-11-23T01:33:53.6823176Z test_averaged_model_mixed_device (__main__.TestSWAUtils) ... ok (0.002s) 2022-11-23T01:33:53.6823623Z test_averaged_model_state_dict (__main__.TestSWAUtils) ... ok (0.005s) 2022-11-23T01:33:53.6824081Z test_bn_update_eval_momentum (__main__.TestSWAUtils) ... ok (0.030s) 2022-11-23T01:33:53.6824513Z test_update_bn_cnn (__main__.TestSWAUtils) ... ok (0.137s) 2022-11-23T01:33:53.6824875Z test_update_bn_dnn (__main__.TestSWAUtils) ... ok (0.023s) 2022-11-23T01:33:53.6825099Z 2022-11-23T01:33:53.6825401Z ---------------------------------------------------------------------- 2022-11-23T01:33:53.6825747Z Ran 161 tests in 72.940s 2022-11-23T01:33:53.6825916Z 2022-11-23T01:33:53.6826017Z OK (skipped=1) 2022-11-23T01:33:53.6826150Z 2022-11-23T01:33:53.6826268Z Generating XML reports... 2022-11-23T01:33:53.6826899Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestDifferentiableOptimizer-20221123013240.xml 2022-11-23T01:33:53.6827668Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestLRScheduler-20221123013240.xml 2022-11-23T01:33:53.6828344Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestOptim-20221123013240.xml 2022-11-23T01:33:53.6829015Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestSWAUtils-20221123013240.xml 2022-11-23T01:33:53.6829320Z 2022-11-23T01:33:53.6829708Z ##[endgroup] 2022-11-23T01:33:53.6830223Z FINISHED PRINTING LOG FILE of test_optim (/var/lib/jenkins/workspace/test/test-reports/test_optim_3mheqzkx) 2022-11-23T01:33:53.6830515Z 2022-11-23T01:33:55.8737544Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:33:55.9546473Z Ignoring disabled issues: [] 2022-11-23T01:33:55.9762865Z Running test_scatter_gather_ops ... [2022-11-23 01:33:55.975864] 2022-11-23T01:33:55.9766222Z Executing ['/opt/conda/bin/python', '-bb', 'test_scatter_gather_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:55.976303] 2022-11-23T01:33:58.3008290Z 2022-11-23T01:33:58.3019157Z Expand the folded group to see the log file of test_scatter_gather_ops 2022-11-23T01:33:58.3020252Z ##[group]PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_hed83e84) 2022-11-23T01:33:58.3020549Z 2022-11-23T01:33:58.3020645Z Running tests... 2022-11-23T01:33:58.3021284Z ---------------------------------------------------------------------- 2022-11-23T01:33:58.3021859Z 2022-11-23T01:33:58.3022134Z ---------------------------------------------------------------------- 2022-11-23T01:33:58.3022553Z Ran 0 tests in 0.000s 2022-11-23T01:33:58.3022702Z 2022-11-23T01:33:58.3022782Z OK 2022-11-23T01:33:58.3022901Z 2022-11-23T01:33:58.3023118Z Generating XML reports... 2022-11-23T01:33:58.3023583Z Test results will be stored in test-reports/python-unittest/test_scatter_gather_ops 2022-11-23T01:33:58.3029933Z 2022-11-23T01:33:58.3036910Z ##[endgroup] 2022-11-23T01:33:58.3037662Z FINISHED PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_hed83e84) 2022-11-23T01:33:58.3038082Z 2022-11-23T01:34:00.5826757Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:34:00.6631245Z Ignoring disabled issues: [] 2022-11-23T01:34:00.6808672Z Running test_schema_check ... [2022-11-23 01:34:00.680555] 2022-11-23T01:34:00.6810784Z Executing ['/opt/conda/bin/python', '-bb', 'test_schema_check.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:00.680849] 2022-11-23T01:34:03.9961250Z 2022-11-23T01:34:03.9961774Z Expand the folded group to see the log file of test_schema_check 2022-11-23T01:34:03.9962891Z ##[group]PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_scd6xa1c) 2022-11-23T01:34:03.9963304Z 2022-11-23T01:34:03.9963422Z Running tests... 2022-11-23T01:34:03.9964355Z ---------------------------------------------------------------------- 2022-11-23T01:34:03.9965234Z Test results will be stored in test-reports/python-unittest/test_schema_check 2022-11-23T01:34:03.9965845Z test_alias_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.004s) 2022-11-23T01:34:03.9966466Z test_alias_check_fail_multiple_operators_centered (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9967092Z test_alias_check_fail_outputs_unexpectedly_aliasing (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9967689Z test_alias_check_fail_simple (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9968200Z test_is_alias_of_basic (__main__.TestSchemaCheck) ... ok (0.001s) 2022-11-23T01:34:03.9968712Z test_is_alias_of_empty_container (__main__.TestSchemaCheck) ... ok (0.005s) 2022-11-23T01:34:03.9969247Z test_mutation_check_fail (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9969779Z test_mutation_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9970313Z test_overlaps_basic (__main__.TestSchemaCheck) ... ok (0.001s) 2022-11-23T01:34:03.9970812Z test_overlaps_empty_container (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9971374Z test_schema_check_mode_empty_list_input (__main__.TestSchemaCheck) ... ok (0.010s) 2022-11-23T01:34:03.9971943Z test_schema_check_mode_functionality (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9972539Z test_schema_check_mode_functionality_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9973152Z test_schema_check_mode_functionality_default_replaced (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9973633Z test_schema_check_mode_functionality_device_input (__main__.TestSchemaCheck) ... ok (0.006s) 2022-11-23T01:34:03.9974119Z test_schema_check_mode_functionality_kwarg_tensor (__main__.TestSchemaCheck) ... ok (0.033s) 2022-11-23T01:34:03.9974624Z test_schema_check_mode_functionality_list_input (__main__.TestSchemaCheck) ... ok (0.003s) 2022-11-23T01:34:03.9974970Z test_schema_check_mode_functionality_mutable_inputs (__main__.TestSchemaCheck) ... ok (0.001s) 2022-11-23T01:34:03.9975335Z test_schema_check_mode_functionality_nested_training_op (__main__.TestSchemaCheck) ... ok (0.024s) 2022-11-23T01:34:03.9975679Z test_schema_check_mode_functionality_training_op (__main__.TestSchemaCheck) ... ok (0.012s) 2022-11-23T01:34:03.9976193Z test_schema_check_mode_functionality_wildcard_after (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9976551Z test_schema_check_mode_functionality_with_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9977408Z test_schema_check_mode_functionality_with_multiple_outputs_aliasing (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:276: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:34:03.9978350Z torch.aminmax(x, dim=0, out=[actual, actual]) 2022-11-23T01:34:03.9978552Z ok (0.002s) 2022-11-23T01:34:03.9978820Z test_schema_check_mode_mutated_aliasing_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9979632Z test_schema_check_mode_mutated_aliasing_aliasing_outputs (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:179: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:34:03.9980355Z torch.aminmax(x, dim=0, out=[actual, actual]) 2022-11-23T01:34:03.9980557Z ok (0.007s) 2022-11-23T01:34:03.9980815Z test_schema_check_mode_mutated_aliasing_as_strided (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9981154Z test_schema_check_mode_mutated_aliasing_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9981496Z test_schema_check_mode_mutated_aliasing_mutation (__main__.TestSchemaCheck) ... ok (0.001s) 2022-11-23T01:34:03.9981825Z test_schema_check_mode_mutated_aliasing_none (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9982150Z test_schema_check_mode_mutated_aliasing_resize_ (__main__.TestSchemaCheck) ... ok (0.002s) 2022-11-23T01:34:03.9982456Z test_schema_check_mode_operator_order (__main__.TestSchemaCheck) ... ok (0.009s) 2022-11-23T01:34:03.9982785Z test_schema_check_mode_operator_order_without_grad (__main__.TestSchemaCheck) ... ok (0.019s) 2022-11-23T01:34:03.9983093Z test_schema_info_bind_basic (__main__.TestSchemaCheck) ... ok (0.016s) 2022-11-23T01:34:03.9983253Z 2022-11-23T01:34:03.9983496Z ---------------------------------------------------------------------- 2022-11-23T01:34:03.9983727Z Ran 33 tests in 0.187s 2022-11-23T01:34:03.9983840Z 2022-11-23T01:34:03.9983900Z OK 2022-11-23T01:34:03.9983992Z 2022-11-23T01:34:03.9984078Z Generating XML reports... 2022-11-23T01:34:03.9984488Z Generated XML report: test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheck-20221123013403.xml 2022-11-23T01:34:03.9984722Z 2022-11-23T01:34:03.9985027Z ##[endgroup] 2022-11-23T01:34:03.9985415Z FINISHED PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_scd6xa1c) 2022-11-23T01:34:03.9985630Z 2022-11-23T01:34:06.2866314Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:34:06.3670680Z Ignoring disabled issues: [] 2022-11-23T01:34:06.3853072Z Running test_serialization ... [2022-11-23 01:34:06.384939] 2022-11-23T01:34:06.3854823Z Executing ['/opt/conda/bin/python', '-bb', 'test_serialization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:06.385215] 2022-11-23T01:34:42.9289784Z 2022-11-23T01:34:42.9313424Z Expand the folded group to see the log file of test_serialization 2022-11-23T01:34:42.9314351Z ##[group]PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_zfny3fds) 2022-11-23T01:34:42.9314688Z 2022-11-23T01:34:42.9319578Z Running tests... 2022-11-23T01:34:42.9321074Z ---------------------------------------------------------------------- 2022-11-23T01:34:42.9321517Z Test results will be stored in test-reports/python-unittest/test_serialization 2022-11-23T01:34:42.9321885Z test_load_error_msg (__main__.TestOldSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9322448Z test_load_nonexistent_device (__main__.TestOldSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9323758Z test_load_python2_unicode_module (__main__.TestOldSerialization) ... ok (0.012s) 2022-11-23T01:34:42.9324128Z test_load_unicode_error_msg (__main__.TestOldSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9325146Z test_save_different_dtype_error (__main__.TestOldSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:34:42.9325672Z warnings.warn(message, UserWarning) 2022-11-23T01:34:42.9325859Z ok (0.002s) 2022-11-23T01:34:42.9326119Z test_save_different_dtype_unallocated (__main__.TestOldSerialization) ... ok (0.148s) 2022-11-23T01:34:42.9326438Z test_serialization (__main__.TestOldSerialization) ... ok (0.021s) 2022-11-23T01:34:42.9326762Z test_serialization_backwards_compat (__main__.TestOldSerialization) ... ok (0.035s) 2022-11-23T01:34:42.9327091Z test_serialization_backwards_compat_safe (__main__.TestOldSerialization) ... ok (0.012s) 2022-11-23T01:34:42.9366346Z test_serialization_container (__main__.TestOldSerialization) ... ok (0.011s) 2022-11-23T01:34:42.9366964Z test_serialization_container_filelike (__main__.TestOldSerialization) ... ok (0.010s) 2022-11-23T01:34:42.9367509Z test_serialization_dill (__main__.TestOldSerialization) ... skip: "dill" not found or not correct version (0.001s) 2022-11-23T01:34:42.9368022Z test_serialization_dill_version_not_supported (__main__.TestOldSerialization) ... skip: "dill" not found or is correct version (0.000s) 2022-11-23T01:34:42.9368717Z test_serialization_fake_zip (__main__.TestOldSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9370061Z test_serialization_filelike (__main__.TestOldSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:34:42.9371030Z warnings.warn(message, UserWarning) 2022-11-23T01:34:42.9371386Z ok (0.008s) 2022-11-23T01:34:42.9371875Z test_serialization_filelike_api_requirements (__main__.TestOldSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9372498Z test_serialization_filelike_exceptions (__main__.TestOldSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9373134Z test_serialization_filelike_missing_attrs (__main__.TestOldSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9373654Z test_serialization_filelike_stress (__main__.TestOldSerialization) ... ok (0.408s) 2022-11-23T01:34:42.9374320Z test_serialization_filelike_uses_readinto (__main__.TestOldSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9374747Z test_serialization_gzip (__main__.TestOldSerialization) ... ok (0.023s) 2022-11-23T01:34:42.9375638Z test_serialization_map_location (__main__.TestOldSerialization) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81685 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:34:42.9376227Z test_serialization_offset (__main__.TestOldSerialization) ... ok (8.274s) 2022-11-23T01:34:42.9376703Z test_serialization_offset_filelike_weights_only_False (__main__.TestOldSerialization) ... ok (8.138s) 2022-11-23T01:34:42.9377072Z test_serialization_offset_filelike_weights_only_True (__main__.TestOldSerialization) ... ok (8.518s) 2022-11-23T01:34:42.9377401Z test_serialization_offset_gzip (__main__.TestOldSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9377713Z test_serialization_safe (__main__.TestOldSerialization) ... ok (0.018s) 2022-11-23T01:34:42.9378028Z test_serialization_save_warnings (__main__.TestOldSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9378849Z test_serialization_sparse (__main__.TestOldSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:34:42.9379393Z warnings.warn(message, UserWarning) 2022-11-23T01:34:42.9379591Z ok (0.016s) 2022-11-23T01:34:42.9380203Z test_serialization_sparse_csr_invalid (__main__.TestOldSerialization) ... /var/lib/jenkins/workspace/test/test_serialization.py:339: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:34:42.9380787Z x = x.to_sparse_csr() 2022-11-23T01:34:42.9380953Z ok (0.003s) 2022-11-23T01:34:42.9381203Z test_serialization_sparse_invalid (__main__.TestOldSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9381530Z test_serialization_sparse_safe (__main__.TestOldSerialization) ... ok (0.017s) 2022-11-23T01:34:42.9381836Z test_serialization_storage_slice (__main__.TestOldSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9382162Z test_serialization_zipfile_utils (__main__.TestOldSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9382473Z test_serialize_device (__main__.TestOldSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9382761Z test_load_error_msg (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9383039Z test_load_nonexistent_device (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9383345Z test_load_python2_unicode_module (__main__.TestSerialization) ... ok (0.008s) 2022-11-23T01:34:42.9407118Z test_load_unicode_error_msg (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9408982Z test_meta_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9409455Z test_meta_serialization_weights_only_True (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9409891Z test_pathlike_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.010s) 2022-11-23T01:34:42.9411152Z test_pathlike_serialization_weights_only_True (__main__.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:34:42.9413110Z warnings.warn(message, UserWarning) 2022-11-23T01:34:42.9413383Z ok (0.010s) 2022-11-23T01:34:42.9413733Z test_save_different_dtype_error (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9414186Z test_save_different_dtype_unallocated (__main__.TestSerialization) ... ok (0.152s) 2022-11-23T01:34:42.9414617Z test_serialization (__main__.TestSerialization) ... ok (0.016s) 2022-11-23T01:34:42.9415035Z test_serialization_2gb_file (__main__.TestSerialization) ... ok (7.660s) 2022-11-23T01:34:42.9415489Z test_serialization_backwards_compat (__main__.TestSerialization) ... ok (0.013s) 2022-11-23T01:34:42.9415951Z test_serialization_backwards_compat_safe (__main__.TestSerialization) ... ok (0.012s) 2022-11-23T01:34:42.9416446Z test_serialization_dill (__main__.TestSerialization) ... skip: "dill" not found or not correct version (0.001s) 2022-11-23T01:34:42.9417173Z test_serialization_dill_version_not_supported (__main__.TestSerialization) ... skip: "dill" not found or is correct version (0.000s) 2022-11-23T01:34:42.9417777Z test_serialization_efficient_zerotensor_weights_only_False (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9418279Z test_serialization_efficient_zerotensor_weights_only_True (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9418885Z test_serialization_fake_zip (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9419359Z test_serialization_filelike (__main__.TestSerialization) ... ok (0.008s) 2022-11-23T01:34:42.9419816Z test_serialization_filelike_api_requirements (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9420293Z test_serialization_filelike_exceptions (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9420740Z test_serialization_filelike_missing_attrs (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9421208Z test_serialization_filelike_stress (__main__.TestSerialization) ... ok (0.459s) 2022-11-23T01:34:42.9421666Z test_serialization_filelike_uses_readinto (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9422083Z test_serialization_gzip (__main__.TestSerialization) ... ok (0.009s) 2022-11-23T01:34:42.9422502Z test_serialization_map_location (__main__.TestSerialization) ... ok (0.022s) 2022-11-23T01:34:42.9422965Z test_serialization_math_bits_weights_only_False (__main__.TestSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9423476Z test_serialization_math_bits_weights_only_True (__main__.TestSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9423927Z test_serialization_offset_gzip (__main__.TestSerialization) ... ok (0.003s) 2022-11-23T01:34:42.9424369Z test_serialization_python_attr (__main__.TestSerialization) ... ok (0.003s) 2022-11-23T01:34:42.9424789Z test_serialization_safe (__main__.TestSerialization) ... ok (0.021s) 2022-11-23T01:34:42.9425202Z test_serialization_save_warnings (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9426354Z test_serialization_sparse (__main__.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:34:42.9427061Z warnings.warn(message, UserWarning) 2022-11-23T01:34:42.9427345Z ok (0.016s) 2022-11-23T01:34:42.9427678Z test_serialization_sparse_csr_invalid (__main__.TestSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9428124Z test_serialization_sparse_invalid (__main__.TestSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9428548Z test_serialization_sparse_safe (__main__.TestSerialization) ... ok (0.023s) 2022-11-23T01:34:42.9428971Z test_serialization_storage_slice (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9430129Z test_serialization_zipfile_actually_jit (__main__.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/serialization.py:794: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning) 2022-11-23T01:34:42.9431023Z warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive" 2022-11-23T01:34:42.9431377Z ok (0.014s) 2022-11-23T01:34:42.9431706Z test_serialization_zipfile_utils (__main__.TestSerialization) ... ok (0.004s) 2022-11-23T01:34:42.9432184Z test_serialization_zipfile_weights_only_False (__main__.TestSerialization) ... ok (0.018s) 2022-11-23T01:34:42.9432673Z test_serialization_zipfile_weights_only_True (__main__.TestSerialization) ... ok (0.018s) 2022-11-23T01:34:42.9433116Z test_serialize_device (__main__.TestSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9433520Z test_weights_only_assert (__main__.TestSerialization) ... Hello World! 2022-11-23T01:34:42.9433846Z ok (0.001s) 2022-11-23T01:34:42.9434333Z test_cloned_deepcopy_requires_grad_False (__main__.TestSubclassSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9434831Z test_cloned_deepcopy_requires_grad_True (__main__.TestSubclassSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9435316Z test_empty_class_serialization (__main__.TestSubclassSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9435793Z test_tensor_subclass_deepcopy (__main__.TestSubclassSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9436342Z test_tensor_subclass_getstate_overwrite (__main__.TestSubclassSerialization) ... ok (0.002s) 2022-11-23T01:34:42.9436855Z test_tensor_subclass_wrapper_serialization (__main__.TestSubclassSerialization) ... ok (0.001s) 2022-11-23T01:34:42.9437153Z 2022-11-23T01:34:42.9437479Z ---------------------------------------------------------------------- 2022-11-23T01:34:42.9437836Z Ran 85 tests in 34.259s 2022-11-23T01:34:42.9438003Z 2022-11-23T01:34:42.9438090Z OK (skipped=5) 2022-11-23T01:34:42.9438240Z 2022-11-23T01:34:42.9438373Z Generating XML reports... 2022-11-23T01:34:42.9439044Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestOldSerialization-20221123013408.xml 2022-11-23T01:34:42.9439942Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSerialization-20221123013408.xml 2022-11-23T01:34:42.9440725Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSubclassSerialization-20221123013408.xml 2022-11-23T01:34:42.9441092Z 2022-11-23T01:34:42.9441517Z ##[endgroup] 2022-11-23T01:34:42.9442092Z FINISHED PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_zfny3fds) 2022-11-23T01:34:42.9442407Z 2022-11-23T01:34:44.9882330Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:34:45.0806665Z Ignoring disabled issues: [] 2022-11-23T01:34:45.2733287Z Running test_set_default_mobile_cpu_allocator ... [2022-11-23 01:34:45.272927] 2022-11-23T01:34:45.2734250Z Executing ['/opt/conda/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:45.273218] 2022-11-23T01:34:47.3093253Z 2022-11-23T01:34:47.3093832Z Expand the folded group to see the log file of test_set_default_mobile_cpu_allocator 2022-11-23T01:34:47.3095017Z ##[group]PRINTING LOG FILE of test_set_default_mobile_cpu_allocator (/var/lib/jenkins/workspace/test/test-reports/test_set_default_mobile_cpu_allocator__5vb7r35) 2022-11-23T01:34:47.3095366Z 2022-11-23T01:34:47.3095468Z Running tests... 2022-11-23T01:34:47.3095989Z ---------------------------------------------------------------------- 2022-11-23T01:34:47.3096508Z Test results will be stored in test-reports/python-unittest/test_set_default_mobile_cpu_allocator 2022-11-23T01:34:47.3097156Z test_exception (__main__.TestSetDefaultMobileCPUAllocator) ... ok (0.254s) 2022-11-23T01:34:47.3097578Z test_no_exception (__main__.TestSetDefaultMobileCPUAllocator) ... ok (0.001s) 2022-11-23T01:34:47.3097765Z 2022-11-23T01:34:47.3097963Z ---------------------------------------------------------------------- 2022-11-23T01:34:47.3098204Z Ran 2 tests in 0.255s 2022-11-23T01:34:47.3098317Z 2022-11-23T01:34:47.3098377Z OK 2022-11-23T01:34:47.3098477Z 2022-11-23T01:34:47.3098548Z Generating XML reports... 2022-11-23T01:34:47.3099062Z Generated XML report: test-reports/python-unittest/test_set_default_mobile_cpu_allocator/TEST-TestSetDefaultMobileCPUAllocator-20221123013446.xml 2022-11-23T01:34:47.3099364Z 2022-11-23T01:34:47.3099617Z ##[endgroup] 2022-11-23T01:34:47.3100055Z FINISHED PRINTING LOG FILE of test_set_default_mobile_cpu_allocator (/var/lib/jenkins/workspace/test/test-reports/test_set_default_mobile_cpu_allocator__5vb7r35) 2022-11-23T01:34:47.3100312Z 2022-11-23T01:34:49.2920261Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:34:49.3709577Z Ignoring disabled issues: [] 2022-11-23T01:34:49.3889388Z Running test_shape_ops ... [2022-11-23 01:34:49.388614] 2022-11-23T01:34:49.3891125Z Executing ['/opt/conda/bin/python', '-bb', 'test_shape_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:49.388906] 2022-11-23T01:34:51.4366143Z 2022-11-23T01:34:51.4366679Z Expand the folded group to see the log file of test_shape_ops 2022-11-23T01:34:51.4367987Z ##[group]PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_21xu23b4) 2022-11-23T01:34:51.4368778Z 2022-11-23T01:34:51.4368954Z Running tests... 2022-11-23T01:34:51.4369640Z ---------------------------------------------------------------------- 2022-11-23T01:34:51.4370032Z 2022-11-23T01:34:51.4370517Z ---------------------------------------------------------------------- 2022-11-23T01:34:51.4371075Z Ran 0 tests in 0.000s 2022-11-23T01:34:51.4371336Z 2022-11-23T01:34:51.4371455Z OK 2022-11-23T01:34:51.4371669Z 2022-11-23T01:34:51.4371869Z Generating XML reports... 2022-11-23T01:34:51.4372676Z Test results will be stored in test-reports/python-unittest/test_shape_ops 2022-11-23T01:34:51.4373111Z 2022-11-23T01:34:51.4373652Z ##[endgroup] 2022-11-23T01:34:51.4374576Z FINISHED PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_21xu23b4) 2022-11-23T01:34:51.4375109Z 2022-11-23T01:34:53.4516213Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:34:53.5355291Z Ignoring disabled issues: [] 2022-11-23T01:34:53.5535170Z Running test_sort_and_select ... [2022-11-23 01:34:53.553154] 2022-11-23T01:34:53.5536698Z Executing ['/opt/conda/bin/python', '-bb', 'test_sort_and_select.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:53.553440] 2022-11-23T01:34:55.5635587Z 2022-11-23T01:34:55.5636103Z Expand the folded group to see the log file of test_sort_and_select 2022-11-23T01:34:55.5637258Z ##[group]PRINTING LOG FILE of test_sort_and_select (/var/lib/jenkins/workspace/test/test-reports/test_sort_and_select_5fd8qltz) 2022-11-23T01:34:55.5637648Z 2022-11-23T01:34:55.5637787Z Running tests... 2022-11-23T01:34:55.5638404Z ---------------------------------------------------------------------- 2022-11-23T01:34:55.5638691Z 2022-11-23T01:34:55.5639029Z ---------------------------------------------------------------------- 2022-11-23T01:34:55.5639435Z Ran 0 tests in 0.000s 2022-11-23T01:34:55.5639625Z 2022-11-23T01:34:55.5639783Z OK 2022-11-23T01:34:55.5639921Z 2022-11-23T01:34:55.5640072Z Generating XML reports... 2022-11-23T01:34:55.5640655Z Test results will be stored in test-reports/python-unittest/test_sort_and_select 2022-11-23T01:34:55.5640977Z 2022-11-23T01:34:55.5641352Z ##[endgroup] 2022-11-23T01:34:55.5642023Z FINISHED PRINTING LOG FILE of test_sort_and_select (/var/lib/jenkins/workspace/test/test-reports/test_sort_and_select_5fd8qltz) 2022-11-23T01:34:55.5642405Z 2022-11-23T01:34:57.5417283Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:34:57.6188851Z Ignoring disabled issues: [] 2022-11-23T01:34:57.6368353Z Running test_sparse ... [2022-11-23 01:34:57.636432] 2022-11-23T01:34:57.6369179Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:57.636707] 2022-11-23T01:35:00.3775823Z 2022-11-23T01:35:00.3776318Z Expand the folded group to see the log file of test_sparse 2022-11-23T01:35:00.3777270Z ##[group]PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_wcen0rlr) 2022-11-23T01:35:00.3777547Z 2022-11-23T01:35:00.3777642Z Running tests... 2022-11-23T01:35:00.3778191Z ---------------------------------------------------------------------- 2022-11-23T01:35:00.3778738Z Test results will be stored in test-reports/python-unittest/test_sparse 2022-11-23T01:35:00.3779085Z test_basic (__main__.TestSparseMeta) ... ok (0.004s) 2022-11-23T01:35:00.3779374Z test_cuda_from_cpu (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s) 2022-11-23T01:35:00.3779902Z test_cuda_sparse_cpu_dense_add (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s) 2022-11-23T01:35:00.3780093Z 2022-11-23T01:35:00.3780295Z ---------------------------------------------------------------------- 2022-11-23T01:35:00.3780537Z Ran 3 tests in 0.005s 2022-11-23T01:35:00.3780650Z 2022-11-23T01:35:00.3780722Z OK (skipped=2) 2022-11-23T01:35:00.3780817Z 2022-11-23T01:35:00.3780901Z Generating XML reports... 2022-11-23T01:35:00.3781320Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMeta-20221123013459.xml 2022-11-23T01:35:00.3781881Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseOneOff-20221123013459.xml 2022-11-23T01:35:00.3782108Z 2022-11-23T01:35:00.3782353Z ##[endgroup] 2022-11-23T01:35:00.3782720Z FINISHED PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_wcen0rlr) 2022-11-23T01:35:00.3782925Z 2022-11-23T01:35:02.3793478Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:35:02.4588386Z Ignoring disabled issues: [] 2022-11-23T01:35:02.4768945Z Running test_spectral_ops ... [2022-11-23 01:35:02.476538] 2022-11-23T01:35:02.4770487Z Executing ['/opt/conda/bin/python', '-bb', 'test_spectral_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:02.476838] 2022-11-23T01:35:06.2050487Z 2022-11-23T01:35:06.2050980Z Expand the folded group to see the log file of test_spectral_ops 2022-11-23T01:35:06.2052039Z ##[group]PRINTING LOG FILE of test_spectral_ops (/var/lib/jenkins/workspace/test/test-reports/test_spectral_ops_r4urza0y) 2022-11-23T01:35:06.2052495Z /var/lib/jenkins/workspace/test/test_spectral_ops.py:44: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-11-23T01:35:06.2053051Z if LooseVersion(np.__version__) >= '1.20.0' and ( 2022-11-23T01:35:06.2053461Z /var/lib/jenkins/workspace/test/test_spectral_ops.py:45: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. 2022-11-23T01:35:06.2053904Z not has_scipy_fft or LooseVersion(scipy.__version__) >= '1.6.0') 2022-11-23T01:35:06.2054081Z 2022-11-23T01:35:06.2054178Z Running tests... 2022-11-23T01:35:06.2054488Z ---------------------------------------------------------------------- 2022-11-23T01:35:06.2054647Z 2022-11-23T01:35:06.2054877Z ---------------------------------------------------------------------- 2022-11-23T01:35:06.2055123Z Ran 0 tests in 0.000s 2022-11-23T01:35:06.2055237Z 2022-11-23T01:35:06.2055296Z OK 2022-11-23T01:35:06.2055386Z 2022-11-23T01:35:06.2055462Z Generating XML reports... 2022-11-23T01:35:06.2055845Z Test results will be stored in test-reports/python-unittest/test_spectral_ops 2022-11-23T01:35:06.2056025Z 2022-11-23T01:35:06.2056241Z ##[endgroup] 2022-11-23T01:35:06.2056667Z FINISHED PRINTING LOG FILE of test_spectral_ops (/var/lib/jenkins/workspace/test/test-reports/test_spectral_ops_r4urza0y) 2022-11-23T01:35:06.2056885Z 2022-11-23T01:35:08.2043888Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:35:08.2880074Z Ignoring disabled issues: [] 2022-11-23T01:35:08.3061329Z Running test_stateless ... [2022-11-23 01:35:08.305769] 2022-11-23T01:35:08.3063305Z Executing ['/opt/conda/bin/python', '-bb', 'test_stateless.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:08.306059] 2022-11-23T01:35:16.5129227Z 2022-11-23T01:35:16.5129711Z Expand the folded group to see the log file of test_stateless 2022-11-23T01:35:16.5130763Z ##[group]PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_or5ky785) 2022-11-23T01:35:16.5131174Z 2022-11-23T01:35:16.5131298Z Running tests... 2022-11-23T01:35:16.5131914Z ---------------------------------------------------------------------- 2022-11-23T01:35:16.5132551Z Test results will be stored in test-reports/python-unittest/test_stateless 2022-11-23T01:35:16.5133110Z test_runs_with_optimize_flag (__main__.TestPythonOptimizeMode) ... ok (4.669s) 2022-11-23T01:35:16.5133935Z test_private_stateless_warns (__main__.TestStatelessDeprecation) ... ok (1.482s) 2022-11-23T01:35:16.5134496Z test_circular_references (__main__.TestStatelessFunctionalAPI) ... ok (0.003s) 2022-11-23T01:35:16.5135055Z test_functional_batch_norm (__main__.TestStatelessFunctionalAPI) ... ok (0.002s) 2022-11-23T01:35:16.5135614Z test_functional_call (__main__.TestStatelessFunctionalAPI) ... ok (0.002s) 2022-11-23T01:35:16.5136569Z test_functional_call_with_data_parallel (__main__.TestStatelessFunctionalAPI) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:35:16.5137188Z test_functional_call_with_gradient (__main__.TestStatelessFunctionalAPI) ... ok (0.002s) 2022-11-23T01:35:16.5137787Z test_functional_call_with_jit (__main__.TestStatelessFunctionalAPI) ... ok (0.056s) 2022-11-23T01:35:16.5138446Z test_reparamertize_module_fail_reset_to_original (__main__.TestStatelessFunctionalAPI) ... ok (0.029s) 2022-11-23T01:35:16.5139085Z test_reparametrized_module_change_parametrization_original (__main__.TestStatelessFunctionalAPI) ... ok (0.004s) 2022-11-23T01:35:16.5139604Z test_setattr (__main__.TestStatelessFunctionalAPI) ... ok (0.001s) 2022-11-23T01:35:16.5140104Z test_tied_weights_warns (__main__.TestStatelessFunctionalAPI) ... ok (0.002s) 2022-11-23T01:35:16.5140417Z 2022-11-23T01:35:16.5140789Z ---------------------------------------------------------------------- 2022-11-23T01:35:16.5141184Z Ran 12 tests in 6.254s 2022-11-23T01:35:16.5141384Z 2022-11-23T01:35:16.5141504Z OK (skipped=1) 2022-11-23T01:35:16.5141685Z 2022-11-23T01:35:16.5141829Z Generating XML reports... 2022-11-23T01:35:16.5142621Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20221123013509.xml 2022-11-23T01:35:16.5143565Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20221123013509.xml 2022-11-23T01:35:16.5144469Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20221123013509.xml 2022-11-23T01:35:16.5144927Z 2022-11-23T01:35:16.5145359Z ##[endgroup] 2022-11-23T01:35:16.5146049Z FINISHED PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_or5ky785) 2022-11-23T01:35:16.5146402Z 2022-11-23T01:35:18.5207741Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:35:18.5984299Z Ignoring disabled issues: [] 2022-11-23T01:35:18.6163293Z Running test_subclass ... [2022-11-23 01:35:18.615950] 2022-11-23T01:35:18.6164350Z Executing ['/opt/conda/bin/python', '-bb', 'test_subclass.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:18.616242] 2022-11-23T01:35:20.7830576Z 2022-11-23T01:35:20.7831224Z Expand the folded group to see the log file of test_subclass 2022-11-23T01:35:20.7832021Z ##[group]PRINTING LOG FILE of test_subclass (/var/lib/jenkins/workspace/test/test-reports/test_subclass_8tah4it_) 2022-11-23T01:35:20.7832277Z 2022-11-23T01:35:20.7832351Z Running tests... 2022-11-23T01:35:20.7832825Z ---------------------------------------------------------------------- 2022-11-23T01:35:20.7833227Z Test results will be stored in test-reports/python-unittest/test_subclass 2022-11-23T01:35:20.7833563Z test_deepcopy_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.251s) 2022-11-23T01:35:20.7833909Z test_deepcopy_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7834226Z test_deepcopy_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7834602Z test_deepcopy_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7834921Z test_deepcopy_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7835263Z test_deepcopy_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7835581Z test_deepcopy_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7836143Z test_deepcopy_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7836469Z test_deepcopy_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7836822Z test_deepcopy_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7837238Z test_lazy_module_base_tensor (__main__.TestSubclass) ... expected failure (0.001s) 2022-11-23T01:35:20.7838079Z test_lazy_module_diag_tensor_below (__main__.TestSubclass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:35:20.7838627Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:35:20.7838864Z expected failure (0.002s) 2022-11-23T01:35:20.7839126Z test_lazy_module_logging_tensor (__main__.TestSubclass) ... expected failure (0.002s) 2022-11-23T01:35:20.7839453Z test_lazy_module_non_wrapper_tensor (__main__.TestSubclass) ... expected failure (0.002s) 2022-11-23T01:35:20.7839859Z test_lazy_module_sparse_tensor (__main__.TestSubclass) ... expected failure (0.002s) 2022-11-23T01:35:20.7840158Z test_module_optimization_base_tensor (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7840467Z test_module_optimization_diag_tensor_below (__main__.TestSubclass) ... ok (0.006s) 2022-11-23T01:35:20.7840782Z test_module_optimization_logging_tensor (__main__.TestSubclass) ... ok (0.004s) 2022-11-23T01:35:20.7841083Z test_module_optimization_non_wrapper_tensor (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7841395Z test_module_optimization_sparse_tensor (__main__.TestSubclass) ... ok (0.007s) 2022-11-23T01:35:20.7841743Z test_non_rewrapping_torch_dispatch_subclass_as_parameter_throws_for_detach (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7842114Z test_param_invariants_base_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7842446Z test_param_invariants_base_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7842801Z test_param_invariants_diag_tensor_below_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7843162Z test_param_invariants_diag_tensor_below_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7843519Z test_param_invariants_logging_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7843856Z test_param_invariants_logging_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7844217Z test_param_invariants_non_wrapper_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7844579Z test_param_invariants_non_wrapper_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7845095Z test_param_invariants_sparse_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7845434Z test_param_invariants_sparse_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7845787Z test_parametrization_base_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7846140Z test_parametrization_base_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7846490Z test_parametrization_diag_tensor_below_leave_parametrized_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7846853Z test_parametrization_diag_tensor_below_leave_parametrized_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7847212Z test_parametrization_logging_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7847571Z test_parametrization_logging_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7847990Z test_parametrization_non_wrapper_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7848358Z test_parametrization_non_wrapper_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7848720Z test_parametrization_sparse_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7849075Z test_parametrization_sparse_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7849432Z test_repr_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7849727Z test_repr_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7850028Z test_repr_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7850324Z test_repr_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7850629Z test_repr_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7850930Z test_repr_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7851237Z test_repr_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7851539Z test_repr_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7851843Z test_repr_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7852143Z test_repr_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7852440Z test_serialization_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7852758Z test_serialization_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7853084Z test_serialization_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7853417Z test_serialization_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7853735Z test_serialization_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7854060Z test_serialization_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7854388Z test_serialization_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7854707Z test_serialization_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s) 2022-11-23T01:35:20.7855031Z test_serialization_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7855351Z test_serialization_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.003s) 2022-11-23T01:35:20.7855675Z test_type_propagation_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7855989Z test_type_propagation_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7856323Z test_type_propagation_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7856657Z test_type_propagation_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7856992Z test_type_propagation_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7857310Z test_type_propagation_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7857648Z test_type_propagation_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7857989Z test_type_propagation_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7858308Z test_type_propagation_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7858637Z test_type_propagation_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s) 2022-11-23T01:35:20.7858855Z 2022-11-23T01:35:20.7859076Z ---------------------------------------------------------------------- 2022-11-23T01:35:20.7859319Z Ran 71 tests in 0.379s 2022-11-23T01:35:20.7859420Z 2022-11-23T01:35:20.7859502Z OK (expected failures=5) 2022-11-23T01:35:20.7859619Z 2022-11-23T01:35:20.7859703Z Generating XML reports... 2022-11-23T01:35:20.7860103Z Generated XML report: test-reports/python-unittest/test_subclass/TEST-TestSubclass-20221123013520.xml 2022-11-23T01:35:20.7860363Z 2022-11-23T01:35:20.7860616Z ##[endgroup] 2022-11-23T01:35:20.7860989Z FINISHED PRINTING LOG FILE of test_subclass (/var/lib/jenkins/workspace/test/test-reports/test_subclass_8tah4it_) 2022-11-23T01:35:20.7861202Z 2022-11-23T01:35:22.7565796Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:35:22.8347225Z Ignoring disabled issues: [] 2022-11-23T01:35:22.8528662Z Running test_tensorboard ... [2022-11-23 01:35:22.852458] 2022-11-23T01:35:22.8529814Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorboard.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:22.852746] 2022-11-23T01:35:49.3354405Z 2022-11-23T01:35:49.3355007Z Expand the folded group to see the log file of test_tensorboard 2022-11-23T01:35:49.3355918Z ##[group]PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_otbjssnt) 2022-11-23T01:35:49.3356291Z 2022-11-23T01:35:49.3356380Z Running tests... 2022-11-23T01:35:49.3356956Z ---------------------------------------------------------------------- 2022-11-23T01:35:49.3357600Z Test results will be stored in test-reports/python-unittest/test_tensorboard 2022-11-23T01:35:49.3358279Z test_embedding (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()? 2022-11-23T01:35:49.3358619Z ok (0.030s) 2022-11-23T01:35:49.3358957Z test_embedding_64 (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()? 2022-11-23T01:35:49.3359383Z ok (0.007s) 2022-11-23T01:35:49.3359761Z test_figure (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s) 2022-11-23T01:35:49.3360088Z test_figure_list (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s) 2022-11-23T01:35:49.3360407Z test_caffe2_np (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s) 2022-11-23T01:35:49.3360727Z test_caffe2_np_expect_fail (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s) 2022-11-23T01:35:49.3361055Z test_caffe2_simple_cnnmodel (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s) 2022-11-23T01:35:49.3361387Z test_caffe2_simple_model (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s) 2022-11-23T01:35:49.3361707Z test_pytorch_np_expect_fail (__main__.TestTensorBoardNumpy) ... ok (0.000s) 2022-11-23T01:35:49.3361988Z test_scalar (__main__.TestTensorBoardNumpy) ... ok (0.001s) 2022-11-23T01:35:49.3362297Z test_pytorch_autograd_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.000s) 2022-11-23T01:35:49.3362632Z test_pytorch_histogram (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.003s) 2022-11-23T01:35:49.3362965Z test_pytorch_histogram_raw (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.007s) 2022-11-23T01:35:49.3363276Z test_pytorch_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.001s) 2022-11-23T01:35:49.3363592Z test_pytorch_write (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.002s) 2022-11-23T01:35:49.3363909Z test_mlp_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.082s) 2022-11-23T01:35:49.3364219Z test_nested_nn_squential (__main__.TestTensorBoardPytorchGraph) ... ok (0.071s) 2022-11-23T01:35:49.3364544Z test_pytorch_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.020s) 2022-11-23T01:35:49.3366053Z test_pytorch_graph_dict_input (__main__.TestTensorBoardPytorchGraph) ... Encountering a dict at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior. 2022-11-23T01:35:49.3366697Z Error occurs, No graph saved 2022-11-23T01:35:49.3366881Z ok (0.032s) 2022-11-23T01:35:49.3367119Z test_torchvision_smoke (__main__.TestTensorBoardPytorchGraph) ... ok (23.598s) 2022-11-23T01:35:49.3367561Z test_wrong_input_size (__main__.TestTensorBoardPytorchGraph) ... mat1 and mat2 shapes cannot be multiplied (1x9 and 3x5) 2022-11-23T01:35:49.3367863Z Error occurs, No graph saved 2022-11-23T01:35:49.3368042Z ok (0.013s) 2022-11-23T01:35:49.3368301Z test_audio (__main__.TestTensorBoardSummary) ... warning: audio amplitude out of range, auto clipped. 2022-11-23T01:35:49.3368559Z ok (0.015s) 2022-11-23T01:35:49.3368792Z test_custom_scalars (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3369080Z test_empty_input (__main__.TestTensorBoardSummary) ... ok (0.000s) 2022-11-23T01:35:49.3369360Z test_float32_image (__main__.TestTensorBoardSummary) 2022-11-23T01:35:49.3369652Z Tests that float32 image (pixel values in [0, 1]) are scaled correctly ... ok (0.001s) 2022-11-23T01:35:49.3369943Z test_histogram_auto (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3370244Z test_histogram_doane (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3370545Z test_histogram_fd (__main__.TestTensorBoardSummary) ... ok (0.002s) 2022-11-23T01:35:49.3370838Z test_hparams_bool (__main__.TestTensorBoardSummary) ... ok (0.003s) 2022-11-23T01:35:49.3371127Z test_hparams_domain_discrete (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3371432Z test_hparams_number (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3371726Z test_hparams_smoke (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3372011Z test_hparams_string (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3372382Z test_hparams_wrong_parameter (__main__.TestTensorBoardSummary) ... parameter: hparam_dict should be a dictionary, nothing logged. 2022-11-23T01:35:49.3372736Z parameter: metric_dict should be a dictionary, nothing logged. 2022-11-23T01:35:49.3372952Z ok (0.002s) 2022-11-23T01:35:49.3373189Z test_image_with_3_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.002s) 2022-11-23T01:35:49.3373502Z test_image_with_boxes (__main__.TestTensorBoardSummary) ... ok (0.002s) 2022-11-23T01:35:49.3373805Z test_image_with_one_channel (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3374112Z test_image_with_one_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.002s) 2022-11-23T01:35:49.3374431Z test_image_without_channel (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3374726Z test_list_input (__main__.TestTensorBoardSummary) ... ok (0.000s) 2022-11-23T01:35:49.3374997Z test_mesh (__main__.TestTensorBoardSummary) ... ok (0.003s) 2022-11-23T01:35:49.3375278Z test_scalar_new_style (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3375561Z test_text (__main__.TestTensorBoardSummary) ... ok (0.002s) 2022-11-23T01:35:49.3375826Z test_uint8_image (__main__.TestTensorBoardSummary) 2022-11-23T01:35:49.3376092Z Tests that uint8 image (pixel values in [0, 255]) is not changed ... ok (0.000s) 2022-11-23T01:35:49.3376378Z test_video (__main__.TestTensorBoardSummary) ... ok (0.001s) 2022-11-23T01:35:49.3376670Z test_pathlib (__main__.TestTensorBoardSummaryWriter) ... ok (0.002s) 2022-11-23T01:35:49.3376980Z test_summary_writer_close (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s) 2022-11-23T01:35:49.3377339Z test_summary_writer_ctx (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s) 2022-11-23T01:35:49.3377671Z test_convert_to_HWC_dtype_remains_same (__main__.TestTensorBoardUtils) ... ok (0.001s) 2022-11-23T01:35:49.3378020Z test_numpy_vid_uint8 (__main__.TestTensorBoardUtils) ... ok (0.016s) 2022-11-23T01:35:49.3378298Z test_prepare_video (__main__.TestTensorBoardUtils) ... ok (0.092s) 2022-11-23T01:35:49.3378577Z test_to_HWC (__main__.TestTensorBoardUtils) ... ok (0.001s) 2022-11-23T01:35:49.3378876Z test_writer (__main__.TestTensorBoardWriter) ... add_video needs package moviepy 2022-11-23T01:35:49.3379105Z ok (0.051s) 2022-11-23T01:35:49.3379206Z 2022-11-23T01:35:49.3379448Z ---------------------------------------------------------------------- 2022-11-23T01:35:49.3379689Z Ran 53 tests in 24.083s 2022-11-23T01:35:49.3379802Z 2022-11-23T01:35:49.3379872Z OK (skipped=6) 2022-11-23T01:35:49.3379965Z 2022-11-23T01:35:49.3380050Z Generating XML reports... 2022-11-23T01:35:49.3380506Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221123013524.xml 2022-11-23T01:35:49.3381062Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221123013524.xml 2022-11-23T01:35:49.3381611Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221123013524.xml 2022-11-23T01:35:49.3382198Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221123013524.xml 2022-11-23T01:35:49.3382759Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221123013524.xml 2022-11-23T01:35:49.3383326Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221123013524.xml 2022-11-23T01:35:49.3383864Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221123013524.xml 2022-11-23T01:35:49.3384395Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221123013524.xml 2022-11-23T01:35:49.3384929Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221123013524.xml 2022-11-23T01:35:49.3385170Z 2022-11-23T01:35:49.3385446Z ##[endgroup] 2022-11-23T01:35:49.3385819Z FINISHED PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_otbjssnt) 2022-11-23T01:35:49.3386041Z 2022-11-23T01:35:51.3179708Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:35:51.3946402Z Ignoring disabled issues: [] 2022-11-23T01:35:51.4126986Z Running test_tensorexpr_pybind ... [2022-11-23 01:35:51.412376] 2022-11-23T01:35:51.4128688Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:51.412657] 2022-11-23T01:35:53.9505506Z 2022-11-23T01:35:53.9506338Z Expand the folded group to see the log file of test_tensorexpr_pybind 2022-11-23T01:35:53.9507515Z ##[group]PRINTING LOG FILE of test_tensorexpr_pybind (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_pybind_ia4jk21b) 2022-11-23T01:35:53.9507952Z 2022-11-23T01:35:53.9508104Z Running tests... 2022-11-23T01:35:53.9508655Z ---------------------------------------------------------------------- 2022-11-23T01:35:53.9509051Z Test results will be stored in test-reports/python-unittest/test_tensorexpr_pybind 2022-11-23T01:35:53.9509373Z test_unary_ops (__main__.TestExprHandlePyBind) ... ok (0.252s) 2022-11-23T01:35:53.9509651Z test_alloc_in_loop (__main__.TestTensorExprPyBind) ... ok (0.025s) 2022-11-23T01:35:53.9509945Z test_call_raw (__main__.TestTensorExprPyBind) ... ok (0.002s) 2022-11-23T01:35:53.9510232Z test_dtype_error (__main__.TestTensorExprPyBind) ... ok (0.001s) 2022-11-23T01:35:53.9510518Z test_dynamic_shape (__main__.TestTensorExprPyBind) ... ok (0.002s) 2022-11-23T01:35:53.9510813Z test_dynamic_shape_2d (__main__.TestTensorExprPyBind) ... ok (0.002s) 2022-11-23T01:35:53.9511107Z test_external_calls (__main__.TestTensorExprPyBind) ... ok (0.001s) 2022-11-23T01:35:53.9511401Z test_kernel_shape_prop (__main__.TestTensorExprPyBind) ... ok (0.165s) 2022-11-23T01:35:53.9511917Z test_kernel_shape_prop_module (__main__.TestTensorExprPyBind) ... ok (0.041s) 2022-11-23T01:35:53.9512240Z test_kernel_with_custom_lowering (__main__.TestTensorExprPyBind) ... ok (0.027s) 2022-11-23T01:35:53.9512551Z test_kernel_with_expand (__main__.TestTensorExprPyBind) ... ok (0.027s) 2022-11-23T01:35:53.9512843Z test_kernel_with_permute (__main__.TestTensorExprPyBind) ... ok (0.061s) 2022-11-23T01:35:53.9513210Z test_kernel_with_scalar_inputs (__main__.TestTensorExprPyBind) ... ok (0.023s) 2022-11-23T01:35:53.9513510Z test_kernel_with_t (__main__.TestTensorExprPyBind) ... ok (0.029s) 2022-11-23T01:35:53.9513811Z test_kernel_with_tensor_inputs (__main__.TestTensorExprPyBind) ... ok (0.027s) 2022-11-23T01:35:53.9514108Z test_kernel_with_transpose (__main__.TestTensorExprPyBind) ... ok (0.030s) 2022-11-23T01:35:53.9514399Z test_simple_sum (__main__.TestTensorExprPyBind) ... ok (0.002s) 2022-11-23T01:35:53.9514562Z 2022-11-23T01:35:53.9514768Z ---------------------------------------------------------------------- 2022-11-23T01:35:53.9514997Z Ran 17 tests in 0.718s 2022-11-23T01:35:53.9515111Z 2022-11-23T01:35:53.9515171Z OK 2022-11-23T01:35:53.9515263Z 2022-11-23T01:35:53.9515346Z Generating XML reports... 2022-11-23T01:35:53.9515795Z Generated XML report: test-reports/python-unittest/test_tensorexpr_pybind/TEST-TestExprHandlePyBind-20221123013552.xml 2022-11-23T01:35:53.9516339Z Generated XML report: test-reports/python-unittest/test_tensorexpr_pybind/TEST-TestTensorExprPyBind-20221123013552.xml 2022-11-23T01:35:53.9516587Z 2022-11-23T01:35:53.9516840Z ##[endgroup] 2022-11-23T01:35:53.9517252Z FINISHED PRINTING LOG FILE of test_tensorexpr_pybind (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_pybind_ia4jk21b) 2022-11-23T01:35:53.9517484Z 2022-11-23T01:35:55.9271917Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:35:56.0064935Z Ignoring disabled issues: [] 2022-11-23T01:35:56.0244183Z Running test_testing ... [2022-11-23 01:35:56.024133] 2022-11-23T01:35:56.0246581Z Executing ['/opt/conda/bin/python', '-bb', 'test_testing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:56.024403] 2022-11-23T01:36:20.8913407Z 2022-11-23T01:36:20.8913991Z Expand the folded group to see the log file of test_testing 2022-11-23T01:36:20.8915076Z ##[group]PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing_f0bvhtc5) 2022-11-23T01:36:20.8927982Z 2022-11-23T01:36:20.8928306Z Running tests... 2022-11-23T01:36:20.8928989Z ---------------------------------------------------------------------- 2022-11-23T01:36:20.8929656Z Test results will be stored in test-reports/python-unittest/test_testing 2022-11-23T01:36:20.8930139Z test_bool (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8932589Z test_default_tolerance_selection_mismatching_dtypes (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8933228Z test_docstring_examples (__main__.TestAssertClose) ... ok (0.032s) 2022-11-23T01:36:20.8933670Z test_matching (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8934123Z test_matching_atol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8934609Z test_matching_conjugate_bit (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8935085Z test_matching_nan (__main__.TestAssertClose) ... ok (0.003s) 2022-11-23T01:36:20.8935565Z test_matching_nan_with_equal_nan (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8936046Z test_matching_rtol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8936475Z test_meta (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8936928Z test_mismatching_dtype (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8937437Z test_mismatching_dtype_no_check (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8938808Z test_mismatching_layout (__main__.TestAssertClose) ... /var/lib/jenkins/workspace/test/test_testing.py:619: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:36:20.8939860Z sparse_csr = strided.to_sparse_csr() 2022-11-23T01:36:20.8940173Z ok (0.003s) 2022-11-23T01:36:20.8940578Z test_mismatching_layout_no_check (__main__.TestAssertClose) ... ok (0.005s) 2022-11-23T01:36:20.8941187Z test_mismatching_shape (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8941665Z test_mismatching_stride (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8942168Z test_mismatching_stride_no_check (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8942653Z test_mismatching_types (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8943164Z test_mismatching_types_subclasses (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8943681Z test_mismatching_types_type_equality (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8944194Z test_mismatching_values (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8944691Z test_mismatching_values_atol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8945164Z test_mismatching_values_rtol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8945627Z test_none (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8946076Z test_none_mismatch (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8946516Z test_numpy (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8946937Z test_only_atol (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8947362Z test_only_rtol (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8947791Z test_scalar (__main__.TestAssertClose) ... ok (0.003s) 2022-11-23T01:36:20.8948247Z test_unexpected_error_compare (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:36:20.8948782Z test_unexpected_error_originate (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8949264Z test_unknown_layout (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8949700Z test_unknown_type (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:36:20.8950215Z test_mapping_mismatching_keys (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:36:20.8950804Z test_mapping_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:36:20.8951387Z test_sequence_mismatching_len (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:36:20.8951951Z test_sequence_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:36:20.8952501Z test_abs_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8953040Z test_abs_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.001s) 2022-11-23T01:36:20.8953557Z test_atol (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8954069Z test_identifier_scalars (__main__.TestAssertCloseErrorMessage) ... ok (0.001s) 2022-11-23T01:36:20.8954645Z test_identifier_tensor_likes (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8955219Z test_mismatched_elements (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8955751Z test_msg_callable (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-11-23T01:36:20.8956272Z test_msg_str (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-11-23T01:36:20.8956785Z test_not_close (__main__.TestAssertCloseErrorMessage) ... ok (0.008s) 2022-11-23T01:36:20.8957286Z test_not_equal (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8957804Z test_rel_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8958325Z test_rel_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.001s) 2022-11-23T01:36:20.8958940Z test_rtol (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8959486Z test_zero_div_zero (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:36:20.8960126Z test_matching_per_channel (__main__.TestAssertCloseQuantized) ... ok (0.002s) 2022-11-23T01:36:20.8960686Z test_matching_per_tensor (__main__.TestAssertCloseQuantized) ... ok (0.002s) 2022-11-23T01:36:20.8961230Z test_mismatching_is_quantized (__main__.TestAssertCloseQuantized) ... ok (0.001s) 2022-11-23T01:36:20.8961843Z test_mismatching_qscheme (__main__.TestAssertCloseQuantized) ... ok (0.001s) 2022-11-23T01:36:20.8962365Z test_matching (__main__.TestAssertCloseSparseBSC) ... ok (0.003s) 2022-11-23T01:36:20.8962914Z test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.003s) 2022-11-23T01:36:20.8963476Z test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.003s) 2022-11-23T01:36:20.8964038Z test_mismatching_values_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.004s) 2022-11-23T01:36:20.8964575Z test_matching (__main__.TestAssertCloseSparseBSR) ... ok (0.002s) 2022-11-23T01:36:20.8965301Z test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.003s) 2022-11-23T01:36:20.8965869Z test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.003s) 2022-11-23T01:36:20.8966445Z test_mismatching_values_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.004s) 2022-11-23T01:36:20.8967005Z test_matching_coalesced (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:36:20.8967556Z test_matching_uncoalesced (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:36:20.8968110Z test_mismatching_indices_msg (__main__.TestAssertCloseSparseCOO) ... ok (0.003s) 2022-11-23T01:36:20.8968659Z test_mismatching_nnz (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:36:20.8969191Z test_mismatching_sparse_dims (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:36:20.8969760Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCOO) ... ok (0.003s) 2022-11-23T01:36:20.8970279Z test_matching (__main__.TestAssertCloseSparseCSC) ... ok (0.002s) 2022-11-23T01:36:20.8970818Z test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.003s) 2022-11-23T01:36:20.8971391Z test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.003s) 2022-11-23T01:36:20.8971956Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.003s) 2022-11-23T01:36:20.8972543Z test_hybrid_support (__main__.TestAssertCloseSparseCSR) ... expected failure (0.007s) 2022-11-23T01:36:20.8973075Z test_matching (__main__.TestAssertCloseSparseCSR) ... ok (0.002s) 2022-11-23T01:36:20.8973621Z test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.003s) 2022-11-23T01:36:20.8974200Z test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.003s) 2022-11-23T01:36:20.8974761Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.003s) 2022-11-23T01:36:20.8975267Z test_filtering_env_var (__main__.TestFrameworkUtils) ... ok (8.027s) 2022-11-23T01:36:20.8975723Z test_circular_dependencies (__main__.TestImports) 2022-11-23T01:36:20.8976542Z Checks that all modules inside torch can be imported ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:20.8977413Z 2022-11-23 01:36:13,706 - torch.distributed.nn.jit.instantiator - INFO - Created a temporary directory at /tmp/tmpk7c19b_d 2022-11-23T01:36:20.8978396Z 2022-11-23 01:36:13,706 - torch.distributed.nn.jit.instantiator - INFO - Writing /tmp/tmpk7c19b_d/_remote_module_non_scriptable.py 2022-11-23T01:36:20.8978897Z ok (8.350s) 2022-11-23T01:36:20.8979315Z test_no_mutate_global_logging_on_import_path_functorch (__main__.TestImports) ... ok (1.671s) 2022-11-23T01:36:20.8979871Z test_no_mutate_global_logging_on_import_path_torch (__main__.TestImports) ... ok (1.673s) 2022-11-23T01:36:20.8980733Z test_no_warning_on_import (__main__.TestImports) ... /var/lib/jenkins/workspace/test/test_testing.py:1837: DeprecationWarning: Please use assertEqual instead. 2022-11-23T01:36:20.8981304Z self.assertEquals(out, "") 2022-11-23T01:36:20.8981614Z ok (1.621s) 2022-11-23T01:36:20.8981958Z test_sample_input (__main__.TestOpInfos) ... ok (0.004s) 2022-11-23T01:36:20.8982409Z test_sample_input_metadata (__main__.TestOpInfos) ... ok (0.002s) 2022-11-23T01:36:20.8982978Z test_default_names (__main__.TestTestParametrization) ... ok (0.003s) 2022-11-23T01:36:20.8983510Z test_modules_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:36:20.8984091Z test_multiple_handling_of_same_param_error (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:36:20.8984643Z test_name_fn (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:36:20.8985169Z test_ops_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:36:20.8985735Z test_subtest_expected_failure_x_1 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:36:20.8986328Z test_subtest_expected_failure_x_2 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:36:20.8986920Z test_subtest_expected_failure_x_3 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:36:20.8987449Z test_subtest_names (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:36:20.8988050Z test_two_things_subtest_expected_failure_x_1_y_4 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:36:20.8988709Z test_two_things_subtest_expected_failure_x_1_y_5 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:36:20.8989377Z test_two_things_subtest_expected_failure_x_1_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:36:20.8990012Z test_two_things_subtest_expected_failure_x_2_y_4 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:36:20.8990617Z test_two_things_subtest_expected_failure_x_2_y_5 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:36:20.8991254Z test_two_things_subtest_expected_failure_x_2_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:36:20.8991889Z test_two_things_subtest_expected_failure_x_3_y_4 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:36:20.8992490Z test_two_things_subtest_expected_failure_x_3_y_5 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:36:20.8993119Z test_two_things_subtest_expected_failure_x_3_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:36:20.8993473Z 2022-11-23T01:36:20.8993850Z ---------------------------------------------------------------------- 2022-11-23T01:36:20.8994248Z Ran 103 tests in 21.585s 2022-11-23T01:36:20.8994447Z 2022-11-23T01:36:20.8994591Z OK (expected failures=7) 2022-11-23T01:36:20.8994788Z 2022-11-23T01:36:20.8994931Z Generating XML reports... 2022-11-23T01:36:20.8995647Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertClose-20221123013558.xml 2022-11-23T01:36:20.8996561Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseContainer-20221123013558.xml 2022-11-23T01:36:20.8997536Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseErrorMessage-20221123013558.xml 2022-11-23T01:36:20.8998515Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseQuantized-20221123013558.xml 2022-11-23T01:36:20.8999459Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSC-20221123013558.xml 2022-11-23T01:36:20.9000466Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSR-20221123013558.xml 2022-11-23T01:36:20.9001399Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCOO-20221123013558.xml 2022-11-23T01:36:20.9002463Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSC-20221123013558.xml 2022-11-23T01:36:20.9003402Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSR-20221123013558.xml 2022-11-23T01:36:20.9004316Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestFrameworkUtils-20221123013558.xml 2022-11-23T01:36:20.9005284Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestImports-20221123013558.xml 2022-11-23T01:36:20.9006205Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestOpInfos-20221123013558.xml 2022-11-23T01:36:20.9007079Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestParametrization-20221123013558.xml 2022-11-23T01:36:20.9007504Z 2022-11-23T01:36:20.9008016Z ##[endgroup] 2022-11-23T01:36:20.9008661Z FINISHED PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing_f0bvhtc5) 2022-11-23T01:36:20.9009019Z 2022-11-23T01:36:23.2090775Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:23.2890972Z Ignoring disabled issues: [] 2022-11-23T01:36:23.3073375Z Running test_transformers ... [2022-11-23 01:36:23.306912] 2022-11-23T01:36:23.3074301Z Executing ['/opt/conda/bin/python', '-bb', 'test_transformers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:23.307201] 2022-11-23T01:36:32.2442612Z 2022-11-23T01:36:32.2443197Z Expand the folded group to see the log file of test_transformers 2022-11-23T01:36:32.2444441Z ##[group]PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_zs7pgv1t) 2022-11-23T01:36:32.2445037Z 2022-11-23T01:36:32.2445182Z Running tests... 2022-11-23T01:36:32.2445905Z ---------------------------------------------------------------------- 2022-11-23T01:36:32.2446645Z Test results will be stored in test-reports/python-unittest/test_transformers 2022-11-23T01:36:32.2447214Z test_bias_is_none (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2447776Z test_decoder_only_layer (__main__.TestTransformers) ... skip: Fairseq not found (0.006s) 2022-11-23T01:36:32.2448382Z test_fused_sdp_choice_type_dense (__main__.TestTransformers) ... ok (0.002s) 2022-11-23T01:36:32.2448936Z test_fused_sdp_choice_type_nested (__main__.TestTransformers) ... ok (0.002s) 2022-11-23T01:36:32.2449478Z test_mask_check_fastpath (__main__.TestTransformers) 2022-11-23T01:36:32.2450715Z Test that fastpath is executed independently of the masks that are passed. ... /var/lib/jenkins/workspace/test/test_transformers.py:916: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:36:32.2451680Z nested_tensor_return_value = torch.nested.nested_tensor([torch.ones((2, 2), dtype=torch.float)]) 2022-11-23T01:36:32.2452082Z ok (0.011s) 2022-11-23T01:36:32.2452566Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2453229Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2453886Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2454536Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2455213Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2455869Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2456810Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-11-23T01:36:32.2457456Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2458093Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-11-23T01:36:32.2458739Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2459536Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2460187Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2460842Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.024s) 2022-11-23T01:36:32.2461478Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.021s) 2022-11-23T01:36:32.2462117Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.022s) 2022-11-23T01:36:32.2462778Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2463424Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2464068Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2464738Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2465393Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2466043Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2466711Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s) 2022-11-23T01:36:32.2467346Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2467990Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:36:32.2468649Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2469313Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.012s) 2022-11-23T01:36:32.2469969Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:36:32.2470811Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.021s) 2022-11-23T01:36:32.2471585Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.022s) 2022-11-23T01:36:32.2472325Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.022s) 2022-11-23T01:36:32.2473187Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:36:32.2474296Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:36:32.2475406Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:36:32.2476370Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s) 2022-11-23T01:36:32.2477548Z test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2478358Z test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2479168Z test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2480115Z test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2480914Z test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2481690Z test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2482486Z test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2483271Z test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2483995Z test_sdp_fused_grad_against_math_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2484711Z test_sdp_fused_grad_against_math_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2485562Z test_sdp_math_gradcheck_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2486253Z test_sdp_math_gradcheck_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:36:32.2486910Z test_sdp_runtime_dispatch (__main__.TestTransformers) ... skip: CUDA unavailable (0.002s) 2022-11-23T01:36:32.2487822Z test_self_attn_TxT_attn_mask (__main__.TestTransformers) ... skip: 4D mask not supported yet - activate when 4D mask supported (0.001s) 2022-11-23T01:36:32.2488546Z test_train_with_pad_and_catch_error_device_cpu (__main__.TestTransformers) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:36:32.2489272Z test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.034s) 2022-11-23T01:36:32.2489965Z test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.033s) 2022-11-23T01:36:32.2490661Z test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.036s) 2022-11-23T01:36:32.2491549Z test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.036s) 2022-11-23T01:36:32.2492367Z test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.031s) 2022-11-23T01:36:32.2493170Z test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.031s) 2022-11-23T01:36:32.2493971Z test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.036s) 2022-11-23T01:36:32.2494898Z test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.036s) 2022-11-23T01:36:32.2495789Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_12 (__main__.TestTransformers) 2022-11-23T01:36:32.2497004Z Test TransformerEncoder fastpath output matches slowpath output ... /var/lib/jenkins/workspace/test/test_transformers.py:215: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:36:32.2498035Z torch.tensor(pair[0], device=device, dtype=torch.get_default_dtype()), # float input 2022-11-23T01:36:32.2498490Z ok (0.569s) 2022-11-23T01:36:32.2499231Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_256 (__main__.TestTransformers) 2022-11-23T01:36:32.2499891Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.805s) 2022-11-23T01:36:32.2500533Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12 (__main__.TestTransformers) 2022-11-23T01:36:32.2501746Z Test TransformerEncoder fastpath output matches slowpath output ... /opt/conda/lib/python3.10/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling 2022-11-23T01:36:32.2502643Z warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling') 2022-11-23T01:36:32.2503054Z ok (0.455s) 2022-11-23T01:36:32.2503589Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256 (__main__.TestTransformers) 2022-11-23T01:36:32.2504221Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.842s) 2022-11-23T01:36:32.2504874Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12 (__main__.TestTransformers) 2022-11-23T01:36:32.2505499Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.444s) 2022-11-23T01:36:32.2506125Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_256 (__main__.TestTransformers) 2022-11-23T01:36:32.2506758Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.843s) 2022-11-23T01:36:32.2507413Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12 (__main__.TestTransformers) 2022-11-23T01:36:32.2508019Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.410s) 2022-11-23T01:36:32.2508668Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256 (__main__.TestTransformers) 2022-11-23T01:36:32.2509313Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.841s) 2022-11-23T01:36:32.2509944Z test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:36:32.2510604Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.008s) 2022-11-23T01:36:32.2511381Z test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:36:32.2512047Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.012s) 2022-11-23T01:36:32.2512745Z test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:36:32.2513437Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.011s) 2022-11-23T01:36:32.2514098Z test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:36:32.2514753Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.012s) 2022-11-23T01:36:32.2515369Z test_transformerencoderlayer_src_mask_device_cpu_nhead_1 (__main__.TestTransformers) ... ok (0.005s) 2022-11-23T01:36:32.2515969Z test_transformerencoderlayer_src_mask_device_cpu_nhead_4 (__main__.TestTransformers) ... ok (0.005s) 2022-11-23T01:36:32.2516563Z test_transformerencoderlayer_src_mask_device_cpu_nhead_8 (__main__.TestTransformers) ... ok (0.005s) 2022-11-23T01:36:32.2516895Z 2022-11-23T01:36:32.2517242Z ---------------------------------------------------------------------- 2022-11-23T01:36:32.2517644Z Ran 77 tests in 5.897s 2022-11-23T01:36:32.2517829Z 2022-11-23T01:36:32.2517945Z OK (skipped=20) 2022-11-23T01:36:32.2518126Z 2022-11-23T01:36:32.2518271Z Generating XML reports... 2022-11-23T01:36:32.2518957Z Generated XML report: test-reports/python-unittest/test_transformers/TEST-TestTransformers-20221123013625.xml 2022-11-23T01:36:32.2519339Z 2022-11-23T01:36:32.2519897Z ##[endgroup] 2022-11-23T01:36:32.2520550Z FINISHED PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_zs7pgv1t) 2022-11-23T01:36:32.2520921Z 2022-11-23T01:36:34.9637221Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:35.0865646Z Ignoring disabled issues: [] 2022-11-23T01:36:35.1183278Z Running test_type_hints ... [2022-11-23 01:36:35.117815] 2022-11-23T01:36:35.1185197Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_hints.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:35.118215] 2022-11-23T01:36:37.3654406Z 2022-11-23T01:36:37.3685898Z Expand the folded group to see the log file of test_type_hints 2022-11-23T01:36:37.3686738Z ##[group]PRINTING LOG FILE of test_type_hints (/var/lib/jenkins/workspace/test/test-reports/test_type_hints_qny6n10f) 2022-11-23T01:36:37.3687034Z 2022-11-23T01:36:37.3687129Z Running tests... 2022-11-23T01:36:37.3687650Z ---------------------------------------------------------------------- 2022-11-23T01:36:37.3735135Z Test results will be stored in test-reports/python-unittest/test_type_hints 2022-11-23T01:36:37.3735839Z test_doc_examples (__main__.TestTypeHints) 2022-11-23T01:36:37.3736652Z Run documentation examples through mypy. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:36:37.3737157Z 2022-11-23T01:36:37.3737607Z ---------------------------------------------------------------------- 2022-11-23T01:36:37.3738108Z Ran 1 test in 0.001s 2022-11-23T01:36:37.3738370Z 2022-11-23T01:36:37.3738529Z OK (skipped=1) 2022-11-23T01:36:37.3738759Z 2022-11-23T01:36:37.3738941Z Generating XML reports... 2022-11-23T01:36:37.3739876Z Generated XML report: test-reports/python-unittest/test_type_hints/TEST-TestTypeHints-20221123013637.xml 2022-11-23T01:36:37.3740393Z 2022-11-23T01:36:37.3741056Z ##[endgroup] 2022-11-23T01:36:37.3741978Z FINISHED PRINTING LOG FILE of test_type_hints (/var/lib/jenkins/workspace/test/test-reports/test_type_hints_qny6n10f) 2022-11-23T01:36:37.3742524Z 2022-11-23T01:36:39.4639739Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:39.5450760Z Ignoring disabled issues: [] 2022-11-23T01:36:39.5640816Z Running test_type_info ... [2022-11-23 01:36:39.563630] 2022-11-23T01:36:39.5642144Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_info.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:39.563952] 2022-11-23T01:36:41.7452942Z 2022-11-23T01:36:41.7453503Z Expand the folded group to see the log file of test_type_info 2022-11-23T01:36:41.7454677Z ##[group]PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_kn6wezpo) 2022-11-23T01:36:41.7455356Z 2022-11-23T01:36:41.7456473Z Running tests... 2022-11-23T01:36:41.7457150Z ---------------------------------------------------------------------- 2022-11-23T01:36:41.7457833Z Test results will be stored in test-reports/python-unittest/test_type_info 2022-11-23T01:36:41.7458351Z test_finfo (__main__.TestDTypeInfo) ... ok (0.261s) 2022-11-23T01:36:41.7458793Z test_iinfo (__main__.TestDTypeInfo) ... ok (0.002s) 2022-11-23T01:36:41.7459330Z test_invalid_input (__main__.TestDTypeInfo) ... ok (0.001s) 2022-11-23T01:36:41.7459621Z 2022-11-23T01:36:41.7459998Z ---------------------------------------------------------------------- 2022-11-23T01:36:41.7460427Z Ran 3 tests in 0.264s 2022-11-23T01:36:41.7460624Z 2022-11-23T01:36:41.7460726Z OK 2022-11-23T01:36:41.7460872Z 2022-11-23T01:36:41.7461019Z Generating XML reports... 2022-11-23T01:36:41.7461738Z Generated XML report: test-reports/python-unittest/test_type_info/TEST-TestDTypeInfo-20221123013641.xml 2022-11-23T01:36:41.7462147Z 2022-11-23T01:36:41.7462515Z ##[endgroup] 2022-11-23T01:36:41.7462973Z FINISHED PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_kn6wezpo) 2022-11-23T01:36:41.7463188Z 2022-11-23T01:36:43.9121213Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:43.9972624Z Ignoring disabled issues: [] 2022-11-23T01:36:44.0165302Z Running test_type_promotion ... [2022-11-23 01:36:44.016088] 2022-11-23T01:36:44.0167978Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_promotion.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:44.016427] 2022-11-23T01:36:46.5029660Z 2022-11-23T01:36:46.5030274Z Expand the folded group to see the log file of test_type_promotion 2022-11-23T01:36:46.5031365Z ##[group]PRINTING LOG FILE of test_type_promotion (/var/lib/jenkins/workspace/test/test-reports/test_type_promotion_b0zky094) 2022-11-23T01:36:46.5031813Z 2022-11-23T01:36:46.5032298Z Running tests... 2022-11-23T01:36:46.5032967Z ---------------------------------------------------------------------- 2022-11-23T01:36:46.5033222Z 2022-11-23T01:36:46.5033608Z ---------------------------------------------------------------------- 2022-11-23T01:36:46.5033932Z Ran 0 tests in 0.000s 2022-11-23T01:36:46.5034079Z 2022-11-23T01:36:46.5034157Z OK 2022-11-23T01:36:46.5034369Z 2022-11-23T01:36:46.5034490Z Generating XML reports... 2022-11-23T01:36:46.5034943Z Test results will be stored in test-reports/python-unittest/test_type_promotion 2022-11-23T01:36:46.5035311Z 2022-11-23T01:36:46.5035636Z ##[endgroup] 2022-11-23T01:36:46.5036313Z FINISHED PRINTING LOG FILE of test_type_promotion (/var/lib/jenkins/workspace/test/test-reports/test_type_promotion_b0zky094) 2022-11-23T01:36:46.5036723Z 2022-11-23T01:36:48.7055312Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:48.7849578Z Ignoring disabled issues: [] 2022-11-23T01:36:48.8033183Z Running test_unary_ufuncs ... [2022-11-23 01:36:48.803024] 2022-11-23T01:36:48.8035321Z Executing ['/opt/conda/bin/python', '-bb', 'test_unary_ufuncs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:48.803301] 2022-11-23T01:36:51.5689559Z 2022-11-23T01:36:51.5690115Z Expand the folded group to see the log file of test_unary_ufuncs 2022-11-23T01:36:51.5691301Z ##[group]PRINTING LOG FILE of test_unary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_unary_ufuncs_c36ru4nf) 2022-11-23T01:36:51.5691705Z 2022-11-23T01:36:51.5691842Z Running tests... 2022-11-23T01:36:51.5698654Z ---------------------------------------------------------------------- 2022-11-23T01:36:51.5699000Z 2022-11-23T01:36:51.5699377Z ---------------------------------------------------------------------- 2022-11-23T01:36:51.5699805Z Ran 0 tests in 0.000s 2022-11-23T01:36:51.5700009Z 2022-11-23T01:36:51.5700127Z OK 2022-11-23T01:36:51.5700273Z 2022-11-23T01:36:51.5700772Z Generating XML reports... 2022-11-23T01:36:51.5701319Z Test results will be stored in test-reports/python-unittest/test_unary_ufuncs 2022-11-23T01:36:51.5701779Z 2022-11-23T01:36:51.5702359Z ##[endgroup] 2022-11-23T01:36:51.5703091Z FINISHED PRINTING LOG FILE of test_unary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_unary_ufuncs_c36ru4nf) 2022-11-23T01:36:51.5703406Z 2022-11-23T01:36:53.5769329Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:53.6546116Z Ignoring disabled issues: [] 2022-11-23T01:36:53.6728805Z Running test_utils ... [2022-11-23 01:36:53.672515] 2022-11-23T01:36:53.6756040Z Executing ['/opt/conda/bin/python', '-bb', 'test_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:53.672811] 2022-11-23T01:36:58.6277474Z 2022-11-23T01:36:58.6278002Z Expand the folded group to see the log file of test_utils 2022-11-23T01:36:58.6278933Z ##[group]PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_czm_xtby) 2022-11-23T01:36:58.6279749Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:36:58.6281189Z 2022-11-23T01:36:58.6281493Z Running tests... 2022-11-23T01:36:58.6281896Z ---------------------------------------------------------------------- 2022-11-23T01:36:58.6282384Z Test results will be stored in test-reports/python-unittest/test_utils 2022-11-23T01:36:58.6285453Z test_assert_scriptable (__main__.TestAssert) ... ok (0.270s) 2022-11-23T01:36:58.6286308Z test_assert_true (__main__.TestAssert) ... ok (0.001s) 2022-11-23T01:36:58.6288579Z test_bottleneck_cpu_only (__main__.TestBottleneck) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68433 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:36:58.6290377Z test_bottleneck_cuda (__main__.TestBottleneck) ... skip: No CUDA (0.000s) 2022-11-23T01:36:58.6291254Z test_checkpoint (__main__.TestCheckpoint) ... ok (0.011s) 2022-11-23T01:36:58.6292085Z test_checkpoint_module_list (__main__.TestCheckpoint) ... ok (0.011s) 2022-11-23T01:36:58.6293723Z test_checkpoint_no_tensors (__main__.TestCheckpoint) ... /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None 2022-11-23T01:36:58.6295021Z warnings.warn("None of the inputs have requires_grad=True. Gradients will be None") 2022-11-23T01:36:58.6295785Z ok (0.002s) 2022-11-23T01:36:58.6296356Z test_checkpoint_non_tensor (__main__.TestCheckpoint) ... ok (0.001s) 2022-11-23T01:36:58.6296814Z test_checkpoint_non_tensor_inputs_outputs (__main__.TestCheckpoint) ... ok (0.005s) 2022-11-23T01:36:58.6297393Z test_checkpoint_not_preserve_rng_state_and_without_reentrant (__main__.TestCheckpoint) ... skip: No CUDA (0.000s) 2022-11-23T01:36:58.6297908Z test_checkpoint_partial_grad (__main__.TestCheckpoint) ... ok (0.002s) 2022-11-23T01:36:58.6298327Z test_checkpoint_rng_cpu (__main__.TestCheckpoint) ... ok (0.010s) 2022-11-23T01:36:58.6298762Z test_checkpoint_rng_cuda (__main__.TestCheckpoint) ... skip: No CUDA (0.001s) 2022-11-23T01:36:58.6299250Z test_checkpoint_sequential_deprecated_multiple_args (__main__.TestCheckpoint) ... ok (0.001s) 2022-11-23T01:36:58.6299735Z test_checkpoint_sequential_deprecated_no_args (__main__.TestCheckpoint) ... ok (0.001s) 2022-11-23T01:36:58.6300189Z test_checkpoint_trigger (__main__.TestCheckpoint) ... ok (0.004s) 2022-11-23T01:36:58.6300819Z test_checkpoint_valid (__main__.TestCheckpoint) ... ok (0.003s) 2022-11-23T01:36:58.6301322Z test_checkpointing_without_reentrant_early_free (__main__.TestCheckpoint) ... skip: Test requires CUDA (0.001s) 2022-11-23T01:36:58.6302633Z test_smoke (__main__.TestCollectEnv) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77345 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:36:58.6303548Z test_cc_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.012s) 2022-11-23T01:36:58.6303997Z test_cpp_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.010s) 2022-11-23T01:36:58.6305286Z test_multi_drop (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82865 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:36:58.6306478Z test_multi_keep (__main__.TestDataLoaderUtils) ... skip: FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN (0.000s) 2022-11-23T01:36:58.6307674Z test_random_seed (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70516 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:36:58.6308389Z test_single_drop (__main__.TestDataLoaderUtils) ... ok (0.001s) 2022-11-23T01:36:58.6308754Z test_single_keep (__main__.TestDataLoaderUtils) ... ok (0.001s) 2022-11-23T01:36:58.6309143Z test_external_module_register (__main__.TestExtensionUtils) ... ok (0.002s) 2022-11-23T01:36:58.6309507Z test_import_hipify (__main__.TestHipify) ... ok (0.001s) 2022-11-23T01:36:58.6309841Z test_check_onnx_broadcast (__main__.TestONNXUtils) ... ok (0.002s) 2022-11-23T01:36:58.6310211Z test_prepare_onnx_paddings (__main__.TestONNXUtils) ... ok (0.001s) 2022-11-23T01:36:58.6310588Z test_load_standalone (__main__.TestStandaloneCPPJIT) ... ok (2.358s) 2022-11-23T01:36:58.6310805Z 2022-11-23T01:36:58.6311064Z ---------------------------------------------------------------------- 2022-11-23T01:36:58.6311374Z Ran 31 tests in 2.717s 2022-11-23T01:36:58.6311517Z 2022-11-23T01:36:58.6311602Z OK (skipped=9) 2022-11-23T01:36:58.6311737Z 2022-11-23T01:36:58.6311843Z Generating XML reports... 2022-11-23T01:36:58.6312325Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestAssert-20221123013655.xml 2022-11-23T01:36:58.6312950Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20221123013655.xml 2022-11-23T01:36:58.6313614Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20221123013655.xml 2022-11-23T01:36:58.6314286Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20221123013655.xml 2022-11-23T01:36:58.6314949Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20221123013655.xml 2022-11-23T01:36:58.6315570Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestHipify-20221123013655.xml 2022-11-23T01:36:58.6316186Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20221123013655.xml 2022-11-23T01:36:58.6316823Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20221123013655.xml 2022-11-23T01:36:58.6317468Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestBottleneck-20221123013655.xml 2022-11-23T01:36:58.6318091Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20221123013655.xml 2022-11-23T01:36:58.6318415Z 2022-11-23T01:36:58.6318727Z ##[endgroup] 2022-11-23T01:36:58.6319202Z FINISHED PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_czm_xtby) 2022-11-23T01:36:58.6319460Z 2022-11-23T01:37:00.6293775Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:00.7174339Z Ignoring disabled issues: [] 2022-11-23T01:37:00.7403895Z Running test_view_ops ... [2022-11-23 01:37:00.740113] 2022-11-23T01:37:00.7408252Z Executing ['/opt/conda/bin/python', '-bb', 'test_view_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:00.740585] 2022-11-23T01:37:03.0594509Z 2022-11-23T01:37:03.0599981Z Expand the folded group to see the log file of test_view_ops 2022-11-23T01:37:03.0600930Z ##[group]PRINTING LOG FILE of test_view_ops (/var/lib/jenkins/workspace/test/test-reports/test_view_ops_4huu425a) 2022-11-23T01:37:03.0601329Z 2022-11-23T01:37:03.0601425Z Running tests... 2022-11-23T01:37:03.0602070Z ---------------------------------------------------------------------- 2022-11-23T01:37:03.0602295Z 2022-11-23T01:37:03.0602665Z ---------------------------------------------------------------------- 2022-11-23T01:37:03.0602963Z Ran 0 tests in 0.000s 2022-11-23T01:37:03.0603108Z 2022-11-23T01:37:03.0603184Z OK 2022-11-23T01:37:03.0603416Z 2022-11-23T01:37:03.0603524Z Generating XML reports... 2022-11-23T01:37:03.0604034Z Test results will be stored in test-reports/python-unittest/test_view_ops 2022-11-23T01:37:03.0604290Z 2022-11-23T01:37:03.0604567Z ##[endgroup] 2022-11-23T01:37:03.0605266Z FINISHED PRINTING LOG FILE of test_view_ops (/var/lib/jenkins/workspace/test/test-reports/test_view_ops_4huu425a) 2022-11-23T01:37:03.0605648Z 2022-11-23T01:37:05.2294976Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:05.3069002Z Ignoring disabled issues: [] 2022-11-23T01:37:05.3253321Z Running test_vmap ... [2022-11-23 01:37:05.324890] 2022-11-23T01:37:05.3254236Z Executing ['/opt/conda/bin/python', '-bb', 'test_vmap.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:05.325181] 2022-11-23T01:37:09.1576826Z 2022-11-23T01:37:09.1577761Z Expand the folded group to see the log file of test_vmap 2022-11-23T01:37:09.1578902Z ##[group]PRINTING LOG FILE of test_vmap (/var/lib/jenkins/workspace/test/test-reports/test_vmap_xk27nzu_) 2022-11-23T01:37:09.1579261Z 2022-11-23T01:37:09.1579386Z Running tests... 2022-11-23T01:37:09.1580047Z ---------------------------------------------------------------------- 2022-11-23T01:37:09.1580667Z Test results will be stored in test-reports/python-unittest/test_vmap 2022-11-23T01:37:09.1581991Z test_accepts_nested_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:376: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1582548Z out = vmap(lambda z: z[0] + z[1])((x, y)) 2022-11-23T01:37:09.1583244Z /var/lib/jenkins/workspace/test/test_vmap.py:378: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1583748Z out = vmap(lambda z: z[0] + z[1], in_dims=(0,))((x, y)) 2022-11-23T01:37:09.1584440Z /var/lib/jenkins/workspace/test/test_vmap.py:380: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1584929Z out = vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))((x, y)) 2022-11-23T01:37:09.1585807Z /var/lib/jenkins/workspace/test/test_vmap.py:383: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1586291Z out = vmap(lambda z: z[0] + z[1])([x, y]) 2022-11-23T01:37:09.1586966Z /var/lib/jenkins/workspace/test/test_vmap.py:385: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1587521Z out = vmap(lambda z: z[0] + z[1], in_dims=(0,))([x, y]) 2022-11-23T01:37:09.1588229Z /var/lib/jenkins/workspace/test/test_vmap.py:387: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1588716Z out = vmap(lambda z: z[0] + z[1], in_dims=([0, 0],))([x, y]) 2022-11-23T01:37:09.1589411Z /var/lib/jenkins/workspace/test/test_vmap.py:390: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1589942Z out = vmap(lambda z: z['x'] + z['y'])({'x': x, 'y': y}) 2022-11-23T01:37:09.1590644Z /var/lib/jenkins/workspace/test/test_vmap.py:392: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1591208Z out = vmap(lambda z: z['x'] + z['y'], in_dims=(0,))({'x': x, 'y': y}) 2022-11-23T01:37:09.1591917Z /var/lib/jenkins/workspace/test/test_vmap.py:394: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1592495Z out = vmap(lambda z: z['x'] + z['y'], in_dims=({'x': 0, 'y': 0},))({'x': x, 'y': y}) 2022-11-23T01:37:09.1605573Z /var/lib/jenkins/workspace/test/test_vmap.py:398: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1606178Z out_fn = vmap(lambda z: z['x'][0] + z['x'][1][0] + z['y'][0] + z['y'][1]) 2022-11-23T01:37:09.1606395Z ok (0.005s) 2022-11-23T01:37:09.1607177Z test_backward_unsupported_interaction (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:748: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1607725Z vmap(backward_on_vmapped_tensor)(x) 2022-11-23T01:37:09.1608533Z /var/lib/jenkins/workspace/test/test_vmap.py:754: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1609021Z vmap(backward_with_vmapped_grad)(x, grad) 2022-11-23T01:37:09.1609722Z /var/lib/jenkins/workspace/test/test_vmap.py:760: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1610353Z vmap(completely_unrelated_backward)(y) 2022-11-23T01:37:09.1610555Z ok (0.005s) 2022-11-23T01:37:09.1611304Z test_batched_gradient_basic (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:792: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1611891Z jacobian = vmap(vjp_mul)(batched_v) 2022-11-23T01:37:09.1612080Z ok (0.001s) 2022-11-23T01:37:09.1612825Z test_constant_function (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:63: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1613363Z output = vmap(lambda x: torch.tensor(3.14))(torch.ones(3)) 2022-11-23T01:37:09.1613580Z ok (0.001s) 2022-11-23T01:37:09.1614337Z test_different_map_dim_size_raises (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:41: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1614857Z vmap(torch.mul)(x, y) 2022-11-23T01:37:09.1615523Z /var/lib/jenkins/workspace/test/test_vmap.py:43: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1616011Z vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))((x, y)) 2022-11-23T01:37:09.1616710Z /var/lib/jenkins/workspace/test/test_vmap.py:45: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1617284Z vmap(lambda z: z['x'] + z['y'], in_dims=({'x': 0, 'y': 0},))({'x': x, 'y': y}) 2022-11-23T01:37:09.1617487Z ok (0.001s) 2022-11-23T01:37:09.1618224Z test_fallback_atan2 (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:554: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1618737Z result = vmap(op, (2, 0))(x, y) 2022-11-23T01:37:09.1619427Z /var/lib/jenkins/workspace/test/test_vmap.py:560: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1619902Z result = vmap(vmap(op), (2, 0))(x, y) 2022-11-23T01:37:09.1620577Z /var/lib/jenkins/workspace/test/test_vmap.py:566: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1621060Z result = vmap(vmap(vmap(op)))(x, y) 2022-11-23T01:37:09.1621249Z ok (0.088s) 2022-11-23T01:37:09.1621482Z test_fallback_does_not_warn_by_default (__main__.TestVmapAPI) ... ok (0.001s) 2022-11-23T01:37:09.1622324Z test_fallback_masked_fill (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:582: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1622895Z result = vmap(torch.index_add, (0, None, None, 0))(x, dim, index, values) 2022-11-23T01:37:09.1623618Z /var/lib/jenkins/workspace/test/test_vmap.py:582: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1624161Z result = vmap(torch.index_add, (0, None, None, 0))(x, dim, index, values) 2022-11-23T01:37:09.1624368Z ok (0.065s) 2022-11-23T01:37:09.1625124Z test_fallback_multiple_returns (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:600: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1625654Z result = vmap(torch.var_mean)(tensor) 2022-11-23T01:37:09.1626348Z /var/lib/jenkins/workspace/test/test_vmap.py:606: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1626840Z result = vmap(vmap(torch.var_mean))(tensor) 2022-11-23T01:37:09.1627520Z /var/lib/jenkins/workspace/test/test_vmap.py:612: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1628013Z result = vmap(vmap(vmap(torch.var_mean)))(tensor) 2022-11-23T01:37:09.1628211Z ok (0.073s) 2022-11-23T01:37:09.1628457Z test_fallback_warns_when_warnings_are_enabled (__main__.TestVmapAPI) ... ok (0.001s) 2022-11-23T01:37:09.1628751Z test_fallback_with_undefined_grad (__main__.TestVmapAPI) ... ok (0.003s) 2022-11-23T01:37:09.1629555Z test_fallback_zero_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:525: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1630057Z vmap(op, (0, None))(x, y) 2022-11-23T01:37:09.1630737Z /var/lib/jenkins/workspace/test/test_vmap.py:527: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1631184Z vmap(op, (None, 0))(y, x) 2022-11-23T01:37:09.1631858Z /var/lib/jenkins/workspace/test/test_vmap.py:529: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1632309Z vmap(op)(x, x) 2022-11-23T01:37:09.1632963Z /var/lib/jenkins/workspace/test/test_vmap.py:534: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1633403Z vmap(op, (0, None))(x, y) 2022-11-23T01:37:09.1634097Z /var/lib/jenkins/workspace/test/test_vmap.py:536: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1634557Z vmap(op, (None, 0))(y, x) 2022-11-23T01:37:09.1635234Z /var/lib/jenkins/workspace/test/test_vmap.py:538: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1635715Z vmap(op)(x, x) 2022-11-23T01:37:09.1635871Z ok (0.016s) 2022-11-23T01:37:09.1636616Z test_func_with_no_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:57: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1637114Z vmap(foo)() 2022-11-23T01:37:09.1637782Z /var/lib/jenkins/workspace/test/test_vmap.py:60: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1638218Z vmap(bar)() 2022-11-23T01:37:09.1638381Z ok (0.001s) 2022-11-23T01:37:09.1639119Z test_functools_partial (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:798: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1639751Z result = vmap(functools.partial(torch.mul, x))(y) 2022-11-23T01:37:09.1639954Z ok (0.001s) 2022-11-23T01:37:09.1640716Z test_grad_unsupported_interaction (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:773: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1641267Z vmap(output_to_grad_is_vmapped)(input_tensor) 2022-11-23T01:37:09.1641963Z /var/lib/jenkins/workspace/test/test_vmap.py:781: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1642447Z vmap(input_to_grad_is_vmapped)(input_tensor) 2022-11-23T01:37:09.1642648Z ok (0.004s) 2022-11-23T01:37:09.1643397Z test_in_dim_not_in_tensor_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:463: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1643912Z vmap(foo)(torch.randn([])) 2022-11-23T01:37:09.1644582Z /var/lib/jenkins/workspace/test/test_vmap.py:465: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1645267Z vmap(foo, in_dims=(0,))(torch.randn([])) 2022-11-23T01:37:09.1645959Z /var/lib/jenkins/workspace/test/test_vmap.py:467: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1646468Z vmap(foo, in_dims=(-1,))(x) 2022-11-23T01:37:09.1647208Z /var/lib/jenkins/workspace/test/test_vmap.py:469: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1647658Z vmap(foo, in_dims=(2,))(y) 2022-11-23T01:37:09.1648330Z /var/lib/jenkins/workspace/test/test_vmap.py:471: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1648860Z vmap(lambda z: z[0] + z[1], in_dims=([3, 0],))([x, y]) 2022-11-23T01:37:09.1649555Z /var/lib/jenkins/workspace/test/test_vmap.py:473: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1650032Z vmap(foo, in_dims=(0,))(torch.randn(2, 3)) 2022-11-23T01:37:09.1650706Z /var/lib/jenkins/workspace/test/test_vmap.py:474: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1651198Z vmap(foo, in_dims=(1,))(torch.randn(2, 3)) 2022-11-23T01:37:09.1651392Z ok (0.002s) 2022-11-23T01:37:09.1652153Z test_in_dims_wrong_type_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:407: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1652664Z vmap(torch.mul, [0, 0])(x, y) 2022-11-23T01:37:09.1653339Z /var/lib/jenkins/workspace/test/test_vmap.py:409: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1653807Z vmap(torch.mul, set({0, 0}))(x, y) 2022-11-23T01:37:09.1654482Z /var/lib/jenkins/workspace/test/test_vmap.py:411: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1654968Z vmap(torch.mul, 'lol')(x, y) 2022-11-23T01:37:09.1655643Z /var/lib/jenkins/workspace/test/test_vmap.py:413: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1656122Z vmap(lambda z: z[0] + z[1], in_dims=[0, 0])([x, y]) 2022-11-23T01:37:09.1656803Z /var/lib/jenkins/workspace/test/test_vmap.py:415: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1657257Z vmap(torch.mul, (0, 0))(x, y) 2022-11-23T01:37:09.1657423Z ok (0.001s) 2022-11-23T01:37:09.1658204Z test_inplace_fallback_nary_different_levels (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:707: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1658775Z vmap(op, in_dims=(0, None))(x, y) 2022-11-23T01:37:09.1659465Z /var/lib/jenkins/workspace/test/test_vmap.py:713: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1659929Z vmap(vmap(op, in_dims=(0, None)))(x, y) 2022-11-23T01:37:09.1660657Z /var/lib/jenkins/workspace/test/test_vmap.py:721: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1661116Z vmap(op, in_dims=(None, 0))(x, y) 2022-11-23T01:37:09.1661804Z /var/lib/jenkins/workspace/test/test_vmap.py:726: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1662305Z vmap(vmap(op, in_dims=(0, None)), in_dims=(None, 0))(x, y) 2022-11-23T01:37:09.1662994Z /var/lib/jenkins/workspace/test/test_vmap.py:731: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1663499Z vmap(vmap(op, in_dims=(0, None)), in_dims=(None, 1))(x, y) 2022-11-23T01:37:09.1664203Z /var/lib/jenkins/workspace/test/test_vmap.py:736: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1664680Z vmap(vmap(op, in_dims=(None, 0)))(x, y) 2022-11-23T01:37:09.1664860Z ok (0.013s) 2022-11-23T01:37:09.1665631Z test_inplace_fallback_nary_same_levels (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:672: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1666146Z vmap(op, (2, 0))(x, y) 2022-11-23T01:37:09.1666814Z /var/lib/jenkins/workspace/test/test_vmap.py:680: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1667266Z vmap(vmap(op), (2, 0))(x, y) 2022-11-23T01:37:09.1667953Z /var/lib/jenkins/workspace/test/test_vmap.py:688: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1668426Z result = vmap(vmap(vmap(op)))(x, y) 2022-11-23T01:37:09.1668617Z ok (0.077s) 2022-11-23T01:37:09.1669357Z test_inplace_fallback_unary (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:631: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1669872Z result = vmap(op)(x) 2022-11-23T01:37:09.1670586Z /var/lib/jenkins/workspace/test/test_vmap.py:638: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1671059Z result = vmap(op, out_dims=(1,))(x) 2022-11-23T01:37:09.1671744Z /var/lib/jenkins/workspace/test/test_vmap.py:645: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1672226Z result = vmap(vmap(op))(x) 2022-11-23T01:37:09.1672905Z /var/lib/jenkins/workspace/test/test_vmap.py:652: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1673379Z result = vmap(vmap(vmap(op)))(x) 2022-11-23T01:37:09.1673565Z ok (0.308s) 2022-11-23T01:37:09.1674335Z test_integer_in_dim_but_not_tensor_input_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:446: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1674869Z vmap(torch.sum)(x, 0) 2022-11-23T01:37:09.1675553Z /var/lib/jenkins/workspace/test/test_vmap.py:448: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1676018Z vmap(torch.sum, (0, 0))(x, 0) 2022-11-23T01:37:09.1676692Z /var/lib/jenkins/workspace/test/test_vmap.py:450: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1677163Z vmap(lambda z: z[0] + z[1], in_dims=([0, 0],))([x, 1]) 2022-11-23T01:37:09.1677863Z /var/lib/jenkins/workspace/test/test_vmap.py:452: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1678334Z vmap(torch.sum, (0, None))(x, 0) 2022-11-23T01:37:09.1678516Z ok (0.002s) 2022-11-23T01:37:09.1679247Z test_multiple_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:78: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1679847Z output = vmap(torch.mul)(x, y) 2022-11-23T01:37:09.1680038Z ok (0.001s) 2022-11-23T01:37:09.1680776Z test_multiple_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:220: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1681407Z result = vmap(foo, out_dims=(0, 1))(x) 2022-11-23T01:37:09.1682097Z /var/lib/jenkins/workspace/test/test_vmap.py:223: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1682633Z result = vmap(bar, out_dims=(-1, 0, 1, 2))(x, y) 2022-11-23T01:37:09.1682830Z ok (0.002s) 2022-11-23T01:37:09.1683613Z test_multiple_outputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:86: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1684132Z outputs = vmap(foo)(x) 2022-11-23T01:37:09.1684313Z ok (0.001s) 2022-11-23T01:37:09.1685168Z test_multiple_outputs_error_cases (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:106: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1685764Z vmap(returns_tuple_of_tensors)(x) 2022-11-23T01:37:09.1686460Z /var/lib/jenkins/workspace/test/test_vmap.py:111: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1686940Z vmap(returns_list_of_two_tensors)(x) 2022-11-23T01:37:09.1687632Z /var/lib/jenkins/workspace/test/test_vmap.py:113: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1688110Z vmap(returns_list_of_one_tensor)(x) 2022-11-23T01:37:09.1688288Z ok (0.001s) 2022-11-23T01:37:09.1689050Z test_nested_non_default_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:337: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1689604Z result = vmap(vmap(vmap(torch.mul), (1, 0)), (1, 2))(x, y) 2022-11-23T01:37:09.1689809Z ok (0.001s) 2022-11-23T01:37:09.1690533Z test_nested_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:236: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1691084Z result = vmap(lambda y: vmap(lambda x: x, out_dims=1)(y))(y) 2022-11-23T01:37:09.1691890Z /var/lib/jenkins/workspace/test/test_vmap.py:241: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1692532Z result = vmap(lambda y: vmap(lambda x: x, out_dims=1)(y), out_dims=1)(y) 2022-11-23T01:37:09.1693242Z /var/lib/jenkins/workspace/test/test_vmap.py:246: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1693819Z result = vmap(lambda y: vmap(lambda x: x, out_dims=-1)(y), out_dims=-1)(y) 2022-11-23T01:37:09.1694546Z /var/lib/jenkins/workspace/test/test_vmap.py:253: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1695134Z result = vmap(lambda y: vmap(lambda x: x * y, out_dims=1)(x), out_dims=-1)(y) 2022-11-23T01:37:09.1695362Z ok (0.003s) 2022-11-23T01:37:09.1696183Z test_nested_with_different_map_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:127: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1696740Z output = vmap(lambda x: vmap(lambda y: x * y)(y))(x) 2022-11-23T01:37:09.1697443Z /var/lib/jenkins/workspace/test/test_vmap.py:132: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1698002Z output = vmap(lambda x: vmap(lambda y: vmap(lambda z: x * y * z)(z))(y))(x) 2022-11-23T01:37:09.1698215Z ok (0.002s) 2022-11-23T01:37:09.1698975Z test_nested_with_same_map_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:118: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1699507Z output = vmap(vmap(torch.mul))(x, y) 2022-11-23T01:37:09.1700204Z /var/lib/jenkins/workspace/test/test_vmap.py:121: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1700700Z output = vmap(vmap(vmap(torch.mul)))(x, y) 2022-11-23T01:37:09.1700886Z ok (0.001s) 2022-11-23T01:37:09.1701620Z test_nn_module (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:804: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1702127Z result = vmap(model)(tensor) 2022-11-23T01:37:09.1702309Z ok (0.001s) 2022-11-23T01:37:09.1703049Z test_non_default_in_dims_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:344: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1703595Z result = vmap(lambda x: x, in_dims=1, out_dims=1)(x) 2022-11-23T01:37:09.1704298Z /var/lib/jenkins/workspace/test/test_vmap.py:349: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1704794Z result = vmap(lambda x: x, in_dims=2, out_dims=1)(x) 2022-11-23T01:37:09.1705484Z /var/lib/jenkins/workspace/test/test_vmap.py:358: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1705966Z result = vmap(foo, in_dims=1, out_dims=1)(x) 2022-11-23T01:37:09.1706658Z /var/lib/jenkins/workspace/test/test_vmap.py:362: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1707134Z result = vmap(foo, in_dims=2, out_dims=1)(x) 2022-11-23T01:37:09.1707872Z /var/lib/jenkins/workspace/test/test_vmap.py:367: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1708335Z result = vmap(vmap(foo, 1, 1), 1, 1)(x) 2022-11-23T01:37:09.1708525Z ok (0.003s) 2022-11-23T01:37:09.1709277Z test_non_tensor_output_raises (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:28: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1709853Z output = vmap(lambda x: 3.14)(torch.ones(3)) 2022-11-23T01:37:09.1710543Z /var/lib/jenkins/workspace/test/test_vmap.py:34: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1711028Z vmap(multiple_outputs)(torch.ones(3)) 2022-11-23T01:37:09.1711225Z ok (0.001s) 2022-11-23T01:37:09.1711967Z test_non_zero_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:310: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1712474Z output = vmap(lambda x: x, (1,))(tensor) 2022-11-23T01:37:09.1713167Z /var/lib/jenkins/workspace/test/test_vmap.py:316: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1713640Z output = vmap(torch.mul, (0, 1))(x, y) 2022-11-23T01:37:09.1714333Z /var/lib/jenkins/workspace/test/test_vmap.py:318: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1714812Z output = vmap(torch.mul, (1, 0))(x, y) 2022-11-23T01:37:09.1714991Z ok (0.002s) 2022-11-23T01:37:09.1715730Z test_none_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:326: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1716251Z output = vmap(torch.mul, (0, None))(x, y) 2022-11-23T01:37:09.1716945Z /var/lib/jenkins/workspace/test/test_vmap.py:331: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1717418Z output = vmap(torch.mul, (0, None))(x, 2) 2022-11-23T01:37:09.1717612Z ok (0.001s) 2022-11-23T01:37:09.1718346Z test_nonzero_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:171: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1718870Z result = vmap(lambda x: x, out_dims=1)(tensor) 2022-11-23T01:37:09.1719599Z /var/lib/jenkins/workspace/test/test_vmap.py:177: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1720176Z result = vmap(lambda x: x, out_dims=2)(tensor) 2022-11-23T01:37:09.1720876Z /var/lib/jenkins/workspace/test/test_vmap.py:183: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1721450Z result = vmap(lambda x: x, out_dims=-1)(tensor) 2022-11-23T01:37:09.1722142Z /var/lib/jenkins/workspace/test/test_vmap.py:190: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1722635Z result = vmap(lambda x, y: (x, y), out_dims=2)(tensor, other) 2022-11-23T01:37:09.1723349Z /var/lib/jenkins/workspace/test/test_vmap.py:198: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1723838Z result = vmap(lambda x: x, out_dims=2)(tensor) 2022-11-23T01:37:09.1724529Z /var/lib/jenkins/workspace/test/test_vmap.py:206: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1725095Z result = vmap(foo, out_dims=1)(x, y) 2022-11-23T01:37:09.1725272Z ok (0.005s) 2022-11-23T01:37:09.1726023Z test_noop_in_inner_vmap (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:139: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1726553Z output = vmap(lambda x: vmap(lambda y: x)(y))(x) 2022-11-23T01:37:09.1726740Z ok (0.001s) 2022-11-23T01:37:09.1727499Z test_not_enough_in_dims_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:423: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1728018Z vmap(torch.mul, (0,))(x, y) 2022-11-23T01:37:09.1728695Z /var/lib/jenkins/workspace/test/test_vmap.py:425: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1729168Z vmap(torch.mul, (0, 0, 0))(x, y) 2022-11-23T01:37:09.1729843Z /var/lib/jenkins/workspace/test/test_vmap.py:427: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1730334Z vmap(lambda z: z[0] + z[1], in_dims=([0],))([x, y]) 2022-11-23T01:37:09.1731027Z /var/lib/jenkins/workspace/test/test_vmap.py:429: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1731515Z vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))([x, y]) 2022-11-23T01:37:09.1732249Z /var/lib/jenkins/workspace/test/test_vmap.py:431: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1732719Z vmap(torch.mul, (0, 0))(x, y) 2022-11-23T01:37:09.1732901Z ok (0.001s) 2022-11-23T01:37:09.1733649Z test_out_dim_out_of_bounds_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:302: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1734218Z vmap(lambda x: x, out_dims=3)(x) 2022-11-23T01:37:09.1734888Z /var/lib/jenkins/workspace/test/test_vmap.py:304: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1735402Z vmap(lambda x: x, out_dims=-4)(x) 2022-11-23T01:37:09.1735588Z ok (0.005s) 2022-11-23T01:37:09.1736361Z test_out_dims_and_num_outputs_mismatch_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:285: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1736886Z vmap(lambda x: x, out_dims=(0, 0))(x) 2022-11-23T01:37:09.1737574Z /var/lib/jenkins/workspace/test/test_vmap.py:287: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1738065Z vmap(lambda x: (x, x, x), out_dims=(0, 0, 0, 0))(x) 2022-11-23T01:37:09.1738757Z /var/lib/jenkins/workspace/test/test_vmap.py:291: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1739229Z vmap(lambda x: (x, x), out_dims=(0,))(x) 2022-11-23T01:37:09.1739910Z /var/lib/jenkins/workspace/test/test_vmap.py:293: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1740394Z vmap(lambda x: (x, x, x), out_dims=(0, 0))(x) 2022-11-23T01:37:09.1740588Z ok (0.001s) 2022-11-23T01:37:09.1741333Z test_out_dims_edge_case (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:263: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1741856Z expected = vmap(foo, out_dims=1)(tensor) 2022-11-23T01:37:09.1742553Z /var/lib/jenkins/workspace/test/test_vmap.py:264: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1743040Z result = vmap(foo, out_dims=(1,))(tensor) 2022-11-23T01:37:09.1743230Z ok (0.001s) 2022-11-23T01:37:09.1744032Z test_out_dims_must_be_int_or_tuple_of_int_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:271: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1744625Z vmap(lambda x: x, out_dims='lol')(tensor) 2022-11-23T01:37:09.1745318Z /var/lib/jenkins/workspace/test/test_vmap.py:273: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1745877Z vmap(lambda x: x, out_dims=('lol',))(tensor) 2022-11-23T01:37:09.1746558Z /var/lib/jenkins/workspace/test/test_vmap.py:275: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1747039Z vmap(lambda x: x, out_dims=None)(tensor) 2022-11-23T01:37:09.1747727Z /var/lib/jenkins/workspace/test/test_vmap.py:277: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1748209Z vmap(lambda x: x, out_dims=(None,))(tensor) 2022-11-23T01:37:09.1748406Z ok (0.001s) 2022-11-23T01:37:09.1749130Z test_single_input (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:72: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1749641Z output = vmap(square)(x) 2022-11-23T01:37:09.1749821Z ok (0.001s) 2022-11-23T01:37:09.1750571Z test_unsupported_op_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:150: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1751072Z vmap(torch.ravel)(tensor) 2022-11-23T01:37:09.1751754Z /var/lib/jenkins/workspace/test/test_vmap.py:156: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1752232Z vmap(out_op)(tensor, tensor) 2022-11-23T01:37:09.1752911Z /var/lib/jenkins/workspace/test/test_vmap.py:161: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1753384Z vmap(lambda t: torch.atleast_1d([t]))(tensor) 2022-11-23T01:37:09.1754085Z /var/lib/jenkins/workspace/test/test_vmap.py:166: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1754564Z vmap(torch.Tensor.item)(tensor) 2022-11-23T01:37:09.1754757Z ok (0.012s) 2022-11-23T01:37:09.1754962Z test_T_numpy (__main__.TestVmapOperators) ... ok (0.006s) 2022-11-23T01:37:09.1755234Z test_as_strided (__main__.TestVmapOperators) ... ok (0.029s) 2022-11-23T01:37:09.1755519Z test_binary_pointwise_ops (__main__.TestVmapOperators) ... ok (0.124s) 2022-11-23T01:37:09.1755794Z test_bmm (__main__.TestVmapOperators) ... ok (0.037s) 2022-11-23T01:37:09.1756048Z test_cat (__main__.TestVmapOperators) ... ok (0.005s) 2022-11-23T01:37:09.1756331Z test_chunk (__main__.TestVmapOperators) ... ok (0.018s) 2022-11-23T01:37:09.1756591Z test_clamp (__main__.TestVmapOperators) ... ok (0.016s) 2022-11-23T01:37:09.1756845Z test_clone (__main__.TestVmapOperators) ... ok (0.015s) 2022-11-23T01:37:09.1757104Z test_comparison_ops (__main__.TestVmapOperators) ... ok (0.060s) 2022-11-23T01:37:09.1757374Z test_conj (__main__.TestVmapOperators) ... ok (0.008s) 2022-11-23T01:37:09.1757673Z test_contiguous (__main__.TestVmapOperators) ... ok (0.007s) 2022-11-23T01:37:09.1757930Z test_diagonal (__main__.TestVmapOperators) ... ok (0.004s) 2022-11-23T01:37:09.1758191Z test_dot (__main__.TestVmapOperators) ... ok (0.013s) 2022-11-23T01:37:09.1758454Z test_expand_as (__main__.TestVmapOperators) ... ok (0.006s) 2022-11-23T01:37:09.1758757Z test_fill_and_zero_inplace (__main__.TestVmapOperators) ... ok (0.016s) 2022-11-23T01:37:09.1759017Z test_imag (__main__.TestVmapOperators) ... ok (0.008s) 2022-11-23T01:37:09.1759283Z test_is_complex (__main__.TestVmapOperators) ... ok (0.001s) 2022-11-23T01:37:09.1759554Z test_is_contiguous (__main__.TestVmapOperators) ... ok (0.007s) 2022-11-23T01:37:09.1759918Z test_is_floating_point (__main__.TestVmapOperators) ... ok (0.001s) 2022-11-23T01:37:09.1760189Z test_mm (__main__.TestVmapOperators) ... ok (0.014s) 2022-11-23T01:37:09.1760448Z test_movedim (__main__.TestVmapOperators) ... ok (0.007s) 2022-11-23T01:37:09.1760691Z test_mv (__main__.TestVmapOperators) ... ok (0.013s) 2022-11-23T01:37:09.1760953Z test_narrow (__main__.TestVmapOperators) ... ok (0.004s) 2022-11-23T01:37:09.1761215Z test_new_empty (__main__.TestVmapOperators) ... ok (0.001s) 2022-11-23T01:37:09.1761488Z test_new_empty_strided (__main__.TestVmapOperators) ... ok (0.010s) 2022-11-23T01:37:09.1761750Z test_new_zeros (__main__.TestVmapOperators) ... ok (0.002s) 2022-11-23T01:37:09.1762029Z test_no_random_op_support (__main__.TestVmapOperators) ... ok (0.109s) 2022-11-23T01:37:09.1762306Z test_real (__main__.TestVmapOperators) ... ok (0.009s) 2022-11-23T01:37:09.1762556Z test_reshape (__main__.TestVmapOperators) ... ok (0.005s) 2022-11-23T01:37:09.1762820Z test_reshape_as (__main__.TestVmapOperators) ... ok (0.005s) 2022-11-23T01:37:09.1763088Z test_result_type (__main__.TestVmapOperators) ... ok (0.005s) 2022-11-23T01:37:09.1763342Z test_select (__main__.TestVmapOperators) ... ok (0.003s) 2022-11-23T01:37:09.1763601Z test_slice (__main__.TestVmapOperators) ... ok (0.003s) 2022-11-23T01:37:09.1763861Z test_split (__main__.TestVmapOperators) ... ok (0.038s) 2022-11-23T01:37:09.1764118Z test_squeeze (__main__.TestVmapOperators) ... ok (0.003s) 2022-11-23T01:37:09.1764363Z test_stack (__main__.TestVmapOperators) ... ok (0.004s) 2022-11-23T01:37:09.1764616Z test_stride (__main__.TestVmapOperators) ... ok (0.001s) 2022-11-23T01:37:09.1764973Z test_sum_dim (__main__.TestVmapOperators) ... ok (0.006s) 2022-11-23T01:37:09.1765212Z test_t (__main__.TestVmapOperators) ... ok (0.003s) 2022-11-23T01:37:09.1765476Z test_tensor_split (__main__.TestVmapOperators) ... ok (0.090s) 2022-11-23T01:37:09.1765742Z test_to (__main__.TestVmapOperators) ... ok (0.004s) 2022-11-23T01:37:09.1765984Z test_trace (__main__.TestVmapOperators) ... ok (0.003s) 2022-11-23T01:37:09.1766246Z test_transpose (__main__.TestVmapOperators) ... ok (0.005s) 2022-11-23T01:37:09.1766530Z test_unary_pointwise_ops (__main__.TestVmapOperators) ... ok (0.098s) 2022-11-23T01:37:09.1766811Z test_unbind (__main__.TestVmapOperators) ... ok (0.117s) 2022-11-23T01:37:09.1767060Z test_unfold (__main__.TestVmapOperators) ... ok (0.003s) 2022-11-23T01:37:09.1767316Z test_view (__main__.TestVmapOperators) ... ok (0.012s) 2022-11-23T01:37:09.1767574Z test_view_as (__main__.TestVmapOperators) ... ok (0.013s) 2022-11-23T01:37:09.1767833Z test_view_as_complex (__main__.TestVmapOperators) ... ok (0.064s) 2022-11-23T01:37:09.1768106Z test_view_as_real (__main__.TestVmapOperators) ... ok (0.009s) 2022-11-23T01:37:09.1768452Z test_vmap_fallback_check (__main__.TestVmapOperators) ... ok (0.001s) 2022-11-23T01:37:09.1769311Z test_vmap_fallback_check_ok (__main__.TestVmapOperators) ... /var/lib/jenkins/workspace/test/test_vmap.py:964: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements. 2022-11-23T01:37:09.1769909Z vmap(op_using_fallback)(torch.rand(3)) 2022-11-23T01:37:09.1770106Z ok (0.001s) 2022-11-23T01:37:09.1770214Z 2022-11-23T01:37:09.1770415Z ---------------------------------------------------------------------- 2022-11-23T01:37:09.1770647Z Ran 95 tests in 1.774s 2022-11-23T01:37:09.1770762Z 2022-11-23T01:37:09.1770822Z OK 2022-11-23T01:37:09.1770913Z 2022-11-23T01:37:09.1770996Z Generating XML reports... 2022-11-23T01:37:09.1771381Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapAPI-20221123013706.xml 2022-11-23T01:37:09.1771868Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapOperators-20221123013706.xml 2022-11-23T01:37:09.1772098Z 2022-11-23T01:37:09.1772438Z ##[endgroup] 2022-11-23T01:37:09.1772799Z FINISHED PRINTING LOG FILE of test_vmap (/var/lib/jenkins/workspace/test/test-reports/test_vmap_xk27nzu_) 2022-11-23T01:37:09.1772992Z 2022-11-23T01:37:11.2975175Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:11.3738128Z Ignoring disabled issues: [] 2022-11-23T01:37:11.3923810Z Running test_vulkan ... [2022-11-23 01:37:11.391921] 2022-11-23T01:37:11.3925665Z Executing ['/opt/conda/bin/python', '-bb', 'test_vulkan.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:11.392246] 2022-11-23T01:37:13.1025846Z 2022-11-23T01:37:13.1029707Z Expand the folded group to see the log file of test_vulkan 2022-11-23T01:37:13.1033658Z ##[group]PRINTING LOG FILE of test_vulkan (/var/lib/jenkins/workspace/test/test-reports/test_vulkan_3rxcracm) 2022-11-23T01:37:13.1042907Z 2022-11-23T01:37:13.1043052Z Running tests... 2022-11-23T01:37:13.1043577Z ---------------------------------------------------------------------- 2022-11-23T01:37:13.1044185Z test_conv (__main__.TestVulkanRewritePass) ... Test results will be stored in test-reports/python-unittest/test_vulkan 2022-11-23T01:37:13.1044633Z skip: Vulkan backend must be available for these tests. (0.002s) 2022-11-23T01:37:13.1044960Z 2022-11-23T01:37:13.1045222Z ---------------------------------------------------------------------- 2022-11-23T01:37:13.1045529Z Ran 1 test in 0.003s 2022-11-23T01:37:13.1045657Z 2022-11-23T01:37:13.1045747Z OK (skipped=1) 2022-11-23T01:37:13.1045883Z 2022-11-23T01:37:13.1045989Z Generating XML reports... 2022-11-23T01:37:13.1046546Z Generated XML report: test-reports/python-unittest/test_vulkan/TEST-TestVulkanRewritePass-20221123013712.xml 2022-11-23T01:37:13.1050195Z 2022-11-23T01:37:13.1053630Z ##[endgroup] 2022-11-23T01:37:13.1057219Z FINISHED PRINTING LOG FILE of test_vulkan (/var/lib/jenkins/workspace/test/test-reports/test_vulkan_3rxcracm) 2022-11-23T01:37:13.1060522Z 2022-11-23T01:37:15.1708742Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:15.2510915Z Ignoring disabled issues: [] 2022-11-23T01:37:15.2695085Z Running test_xnnpack_integration ... [2022-11-23 01:37:15.269179] 2022-11-23T01:37:15.2696982Z Executing ['/opt/conda/bin/python', '-bb', 'test_xnnpack_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:15.269460] 2022-11-23T01:37:27.5995127Z 2022-11-23T01:37:27.5995691Z Expand the folded group to see the log file of test_xnnpack_integration 2022-11-23T01:37:27.5997241Z ##[group]PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_38o376oj) 2022-11-23T01:37:27.5997774Z 2022-11-23T01:37:27.5998288Z Running tests... 2022-11-23T01:37:27.5999086Z ---------------------------------------------------------------------- 2022-11-23T01:37:27.6000352Z Test results will be stored in test-reports/python-unittest/test_xnnpack_integration 2022-11-23T01:37:27.6001413Z test_conv1d_basic (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:37:27.6002381Z test_conv1d_with_relu_fc (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:37:27.6003280Z test_conv2d (__main__.TestXNNPACKOps) ... ok (1.622s) 2022-11-23T01:37:27.6003739Z test_conv2d_transpose (__main__.TestXNNPACKOps) ... ok (1.563s) 2022-11-23T01:37:27.6004385Z test_linear (__main__.TestXNNPACKOps) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.001s) 2022-11-23T01:37:27.6005151Z test_linear_1d_input (__main__.TestXNNPACKOps) ... ok (0.272s) 2022-11-23T01:37:27.6005662Z test_decomposed_linear (__main__.TestXNNPACKRewritePass) ... ok (0.105s) 2022-11-23T01:37:27.6006163Z test_linear (__main__.TestXNNPACKRewritePass) ... ok (1.366s) 2022-11-23T01:37:27.6006735Z test_combined_model (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.004s) 2022-11-23T01:37:27.6007276Z test_conv2d (__main__.TestXNNPACKSerDes) ... ok (2.621s) 2022-11-23T01:37:27.6007783Z test_conv2d_transpose (__main__.TestXNNPACKSerDes) ... ok (2.859s) 2022-11-23T01:37:27.6008360Z test_linear (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.002s) 2022-11-23T01:37:27.6008740Z 2022-11-23T01:37:27.6009132Z ---------------------------------------------------------------------- 2022-11-23T01:37:27.6009527Z Ran 12 tests in 10.421s 2022-11-23T01:37:27.6009721Z 2022-11-23T01:37:27.6009843Z OK (skipped=5) 2022-11-23T01:37:27.6010026Z 2022-11-23T01:37:27.6010142Z Generating XML reports... 2022-11-23T01:37:27.6010931Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKOps-20221123013716.xml 2022-11-23T01:37:27.6011953Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKRewritePass-20221123013716.xml 2022-11-23T01:37:27.6012991Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKSerDes-20221123013716.xml 2022-11-23T01:37:27.6014065Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKConv1dTransformPass-20221123013716.xml 2022-11-23T01:37:27.6014561Z 2022-11-23T01:37:27.6014938Z ##[endgroup] 2022-11-23T01:37:27.6015628Z FINISHED PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_38o376oj) 2022-11-23T01:37:27.6015982Z 2022-11-23T01:37:29.5894033Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:29.6705518Z Ignoring disabled issues: [] 2022-11-23T01:45:23.1359956Z 2022-11-23T01:45:23.1361830Z Expand the folded group to see the log file of test_quantization 2022-11-23T01:45:23.1362836Z ##[group]PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_cbw0sq14) 2022-11-23T01:45:23.1365497Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:45:23.1366298Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:45:23.1366568Z 2022-11-23T01:45:23.1407773Z Running tests... 2022-11-23T01:45:23.1408583Z ---------------------------------------------------------------------- 2022-11-23T01:45:23.1409469Z Test results will be stored in test-reports/python-unittest/test_quantization 2022-11-23T01:45:23.1410442Z test_modules_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.012s) 2022-11-23T01:45:23.1412040Z test_modules_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1413247Z test_modules_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1414432Z test_modules_intrinsic_qat_conv_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1415621Z test_modules_intrinsic_qat_linear_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1416956Z test_modules_intrinsic_qat_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1418124Z test_modules_intrinsic_quantized_bn_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1419292Z test_modules_intrinsic_quantized_conv_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1420482Z test_modules_intrinsic_quantized_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1421585Z test_modules_nn_intrinsic_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1422713Z test_package_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:45:23.1423851Z test_package_import_nn_intrinsic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) 2022-11-23T01:45:23.1424788Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s) 2022-11-23T01:45:23.1425748Z test_package_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) 2022-11-23T01:45:23.1426651Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s) 2022-11-23T01:45:23.1427607Z test_package_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) 2022-11-23T01:45:23.1428568Z Tests the migration of the torch.nn.intrinsic.quantized ... ok (0.001s) 2022-11-23T01:45:23.1429449Z test_functional_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:45:23.1430371Z Tests the migration of the torch.nn.quantized.functional ... ok (0.001s) 2022-11-23T01:45:23.1431304Z test_import_nn_qat_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1432409Z test_import_nn_qat_dynamic_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1433551Z test_import_nn_qat_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1434671Z test_import_nn_qat_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1435804Z test_import_nn_quantizable_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1436942Z test_import_nn_quantizable_rnn (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1438059Z test_import_nn_quantized_dynamic_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1439253Z test_modules_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1440352Z test_modules_batchnorm (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1441434Z test_modules_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1442580Z test_modules_dropout (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1443710Z test_modules_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1445079Z test_modules_functional_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1446180Z test_modules_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1447342Z test_modules_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1448434Z test_modules_normalization (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1449515Z test_modules_utils (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1450574Z test_package_import_nn_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1451649Z test_package_import_nn_qat_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:45:23.1452523Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s) 2022-11-23T01:45:23.1453409Z test_package_import_nn_qat_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:45:23.1454266Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s) 2022-11-23T01:45:23.1455219Z test_package_import_nn_quantizable (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1456367Z test_package_import_nn_quantizable_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:45:23.1457282Z Tests the migration of the torch.nn.quantizable.modules ... ok (0.001s) 2022-11-23T01:45:23.1458837Z test_package_import_nn_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1459987Z test_package_import_nn_quantized_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:45:23.1461145Z test_package_import_nn_quantized_dynamic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:45:23.1462093Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s) 2022-11-23T01:45:23.1462960Z test_package_import_nn_quantized_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:45:23.1463850Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s) 2022-11-23T01:45:23.1464753Z test_function_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1465909Z test_function_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1467149Z test_function_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1468398Z test_function_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1469561Z test_function_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1470748Z test_function_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1471988Z test_function_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1472805Z test_function_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1473512Z test_function_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1474171Z test_function_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1474775Z test_function_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1475481Z test_package_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1476228Z test_package_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1476917Z test_package_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1477568Z test_package_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1478227Z test_package_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1478880Z test_package_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1479632Z test_package_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1480267Z test_package_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1480943Z test_package_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1481576Z test_package_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1482207Z test_package_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:45:23.1482816Z test_function_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1483434Z test_function_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1484075Z test_function_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1484701Z test_function_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1485473Z test_function_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1486114Z test_function_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1486743Z test_function_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1487410Z test_function_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1488050Z test_function_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1488705Z test_function_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1489350Z test_function_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1489978Z test_function_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1490571Z test_package_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1491312Z test_package_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1491952Z test_package_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1492572Z test_package_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1493257Z test_package_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1493908Z test_package_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1494553Z test_package_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1495192Z test_package_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1495821Z test_package_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1496477Z test_package_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1497126Z test_package_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1497768Z test_package_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:45:23.1498361Z test_backend_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.004s) 2022-11-23T01:45:23.1498950Z test_backend_config_set_backend_pattern_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s) 2022-11-23T01:45:23.1499505Z test_backend_config_set_name (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1500047Z test_backend_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s) 2022-11-23T01:45:23.1500578Z test_backend_op_config_add_dtype_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1501125Z test_backend_op_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.003s) 2022-11-23T01:45:23.1501756Z test_backend_op_config_set_extra_inputs_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1502354Z test_backend_op_config_set_fused_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1502915Z test_backend_op_config_set_fuser_method (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1503528Z test_backend_op_config_set_input_output_observed (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1504135Z test_backend_op_config_set_input_type_to_index (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1504726Z test_backend_op_config_set_num_tensor_args_to_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1505323Z test_backend_op_config_set_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1505897Z test_backend_op_config_set_qat_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1506503Z test_backend_op_config_set_reference_quantized_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1507073Z test_backend_op_config_set_root_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1507740Z test_backend_op_config_set_root_node_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1508318Z test_backend_op_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s) 2022-11-23T01:45:23.1508860Z test_dtype_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1509399Z test_dtype_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:45:23.1510064Z test_conv_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.720s) 2022-11-23T01:45:23.1510606Z test_linear_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.145s) 2022-11-23T01:45:23.1511148Z test_compare_tensor_scalar (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.662s) 2022-11-23T01:45:23.1511654Z test_compare_tensor_tensor (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.315s) 2022-11-23T01:45:23.1512252Z test_erase_class_tensor_shapes (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.010s) 2022-11-23T01:45:23.1512894Z test_quantization_modules (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.089s) 2022-11-23T01:45:23.1514265Z test_rnn_cell_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:510: UserWarning: quantize_rnn_cell_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead. 2022-11-23T01:45:23.1515166Z warnings.warn("quantize_rnn_cell_modules function has been deprecated. " 2022-11-23T01:45:23.1516159Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:100: UserWarning: torch.jit.QuantizedRNNCellBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead. 2022-11-23T01:45:23.1516779Z warnings.warn( 2022-11-23T01:45:23.1517681Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:213: UserWarning: torch.jit.QuantizedLSTMCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTMCell instead. 2022-11-23T01:45:23.1518283Z warnings.warn( 2022-11-23T01:45:23.1519225Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:236: UserWarning: torch.jit.QuantizedGRUCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRUCell instead. 2022-11-23T01:45:23.1519812Z warnings.warn( 2022-11-23T01:45:23.1520703Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:178: UserWarning: torch.jit.QuantizedRNNCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead. 2022-11-23T01:45:23.1521366Z warnings.warn( 2022-11-23T01:45:23.1521586Z ok (0.110s) 2022-11-23T01:45:23.1522587Z test_rnn_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:556: UserWarning: quantize_rnn_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead. 2022-11-23T01:45:23.1523344Z warnings.warn("quantize_rnn_modules function has been deprecated. " 2022-11-23T01:45:23.1524299Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:264: UserWarning: torch.jit.QuantizedRNNBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic instead. 2022-11-23T01:45:23.1525033Z warnings.warn( 2022-11-23T01:45:23.1525918Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:369: UserWarning: torch.jit.QuantizedLSTM is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTM instead. 2022-11-23T01:45:23.1526657Z warnings.warn( 2022-11-23T01:45:23.1527506Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:449: UserWarning: torch.jit.QuantizedGRU is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRU instead. 2022-11-23T01:45:23.1528073Z warnings.warn( 2022-11-23T01:45:23.1528307Z ok (0.091s) 2022-11-23T01:45:23.1528878Z test_device_affinity (quantization.core.test_workflow_module.TestDistributed) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:45:23.1529550Z test_fake_quant_preserves_buffers (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:45:23.1530041Z Tests that fake quant only modifies buffers in place. Note: this is important ... ok (0.003s) 2022-11-23T01:45:23.1530530Z test_observers_preserve_buffers (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:45:23.1531003Z Tests that observers only modify buffers in place. Note: this is important ... ok (0.007s) 2022-11-23T01:45:23.1531485Z test_qat_convbn_fused_syncbn_replacement (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:45:23.1532616Z Tests that SyncBatchNorm replacement works for fused ConvBN. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-11-23T01:45:23.1533274Z warnings.warn( 2022-11-23T01:45:23.1533516Z ok (0.005s) 2022-11-23T01:45:23.1533870Z test_qat_data_parallel (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:45:23.1534475Z Tests that doing QAT in nn.DataParallel does not crash. ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:45:23.1535012Z test_syncbn_preserves_qconfig (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:45:23.1535467Z Makes sure that if a BatchNorm is not fused and a qconfig exists, ... ok (0.001s) 2022-11-23T01:45:23.1536204Z test_cell_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator()) 2022-11-23T01:45:23.1537665Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:45:23.1538443Z warnings.warn(message, UserWarning) 2022-11-23T01:45:23.1538714Z ok (0.682s) 2022-11-23T01:45:23.1539782Z test_dynamic_conv1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:58: UserWarning: The current implementation of the DynamicQuantizedConv1d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:45:23.1540528Z warnings.warn( 2022-11-23T01:45:23.1541072Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1542414Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp:82.) 2022-11-23T01:45:23.1543097Z return callable(*args, **kwargs) 2022-11-23T01:45:23.1543605Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1544369Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1545072Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1545744Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1546486Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1547165Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1547847Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1548531Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1549209Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1549886Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1550577Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1551267Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1551935Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1552576Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1553272Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1553722Z ok (1.028s) 2022-11-23T01:45:23.1554826Z test_dynamic_conv2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:123: UserWarning: The current implementation of the DynamicQuantizedConv2d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:45:23.1555511Z warnings.warn( 2022-11-23T01:45:23.1556000Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1556697Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1557374Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1558029Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1558707Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1559543Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1560211Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1560868Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1561592Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1562310Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1563004Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1563683Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1564327Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1565153Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1565839Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1566526Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1566928Z ok (1.029s) 2022-11-23T01:45:23.1568059Z test_dynamic_conv3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:188: UserWarning: The current implementation of the DynamicQuantizedConv3d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:45:23.1568795Z warnings.warn( 2022-11-23T01:45:23.1569032Z ok (0.324s) 2022-11-23T01:45:23.1570178Z test_dynamic_convtranspose1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:258: UserWarning: The current implementation of the DynamicQuantizedConvTranpose1d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:45:23.1570939Z warnings.warn( 2022-11-23T01:45:23.1571431Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1572108Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1572797Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1573448Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1574102Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1574875Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1575539Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1576192Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1576927Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1577599Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1578307Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1579004Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1579669Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1580388Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1581086Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1581764Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1582190Z ok (0.935s) 2022-11-23T01:45:23.1583353Z test_dynamic_convtranspose2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:319: UserWarning: The current implementation of the DynamicQuantizedConvTranpose2d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:45:23.1584136Z warnings.warn( 2022-11-23T01:45:23.1584622Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1585307Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1586031Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1586742Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1587429Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1588123Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1588794Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1589538Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1590219Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1590901Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1591599Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1592251Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1592920Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1593587Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1594281Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1594946Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:45:23.1595375Z ok (1.018s) 2022-11-23T01:45:23.1596557Z test_dynamic_convtranspose3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:380: UserWarning: The current implementation of the DynamicQuantizedConvTranpose3d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:45:23.1597292Z warnings.warn( 2022-11-23T01:45:23.1597512Z ok (0.315s) 2022-11-23T01:45:23.1597907Z test_gru_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (0.280s) 2022-11-23T01:45:23.1598479Z test_linear_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (16.841s) 2022-11-23T01:45:23.1599139Z test_lstm_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (3.659s) 2022-11-23T01:45:23.1599685Z test_dynamic_conv1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.035s) 2022-11-23T01:45:23.1600262Z test_dynamic_conv2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.037s) 2022-11-23T01:45:23.1600788Z test_dynamic_conv3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.033s) 2022-11-23T01:45:23.1601330Z test_dynamic_convtranspose1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.034s) 2022-11-23T01:45:23.1601901Z test_dynamic_convtranspose2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.049s) 2022-11-23T01:45:23.1602468Z test_dynamic_convtranspose3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.005s) 2022-11-23T01:45:23.1603169Z test_linear_prepack_fp16_numerics (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1603799Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1604318Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1605038Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1605641Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1606119Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1606604Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1607085Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1607619Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1608100Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1608589Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1609076Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1609547Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1610030Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1610561Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1611046Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1611502Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1611968Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1612422Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.1612741Z ok (0.068s) 2022-11-23T01:45:23.1613107Z test_qlinear (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (1.682s) 2022-11-23T01:45:23.1613703Z test_qlinear_dynamic_fp16 (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.023s) 2022-11-23T01:45:23.1614235Z test_qlinear_legacy (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.235s) 2022-11-23T01:45:23.1614745Z test_qlstmGRU (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (5.189s) 2022-11-23T01:45:23.1615260Z test_qrnncell (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (6.845s) 2022-11-23T01:45:23.1615739Z test_converged (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:45:23.1616158Z Sanity checks on _equalize.converged working ... ok (0.002s) 2022-11-23T01:45:23.1616594Z test_cross_layer_equalization (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:45:23.1617054Z applies _equalize.cross_layer_equalization on two modules and checks ... ok (0.002s) 2022-11-23T01:45:23.1617516Z test_equalize (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:45:23.1617966Z First checks to see if _equalize.equalize can handle multiple ... ok (0.014s) 2022-11-23T01:45:23.1618439Z test_equalize_fused_convrelu (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:45:23.1618918Z Checks to see if eager mode equalization supports fused ... ok (0.028s) 2022-11-23T01:45:23.1619371Z test_equalize_fused_linearrelu (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:45:23.1619838Z Checks to see if eager mode equalization supports fused ... ok (0.022s) 2022-11-23T01:45:23.1620311Z test_input_weight_eq_observer (quantization.fx.test_equalize_fx.TestEqualizeFx) ... ok (0.243s) 2022-11-23T01:45:23.1620837Z test_input_weight_equalization_activation_values (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1622054Z After applying the equalization functions check if the input ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1482: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:45:23.1622702Z warnings.warn( 2022-11-23T01:45:23.1623571Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1488: UserWarning: Passing a QConfig dictionary to prepare for equalization is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:45:23.1624158Z warnings.warn( 2022-11-23T01:45:23.1624379Z ok (0.062s) 2022-11-23T01:45:23.1624824Z test_input_weight_equalization_branching (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1625734Z Tests that graphs containing branches are prepared correctly. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:756: UserWarning: Cannot equalize linear1 because it is part of a branch. 2022-11-23T01:45:23.1626222Z warnings.warn( 2022-11-23T01:45:23.1626826Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:756: UserWarning: Cannot equalize linear2 because it is part of a branch. 2022-11-23T01:45:23.1627253Z warnings.warn( 2022-11-23T01:45:23.1627485Z ok (0.023s) 2022-11-23T01:45:23.1627834Z test_input_weight_equalization_convert (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1629008Z Tests that the modified model for equalization (before quantization) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear1_packed_weight_0 target linear1_packed_weight_0 linear1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1629871Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1630852Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear2_packed_weight_0 target linear2_packed_weight_0 linear2_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1631630Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1632600Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear_packed_weight_0 target linear_packed_weight_0 linear_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1633380Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1634348Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv1_packed_weight_0 target conv1_packed_weight_0 conv1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1635133Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1636069Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv2_packed_weight_0 target conv2_packed_weight_0 conv2_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1636862Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1637797Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv_packed_weight_0 target conv_packed_weight_0 conv_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1638574Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1638877Z ok (2.194s) 2022-11-23T01:45:23.1639359Z test_input_weight_equalization_equalization_scales (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1639864Z After applying the equalization functions, check if the equalization ... ok (0.075s) 2022-11-23T01:45:23.1640424Z test_input_weight_equalization_graphs (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1641357Z Tests that the modified model for equalization has the same graph ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:303: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:45:23.1641902Z warnings.warn( 2022-11-23T01:45:23.1642635Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_equalize.py:190: UserWarning: Must run observer before calling calculate_equalization_scale. Returning default equalization scale torch.tensor(1). 2022-11-23T01:45:23.1643278Z warnings.warn( 2022-11-23T01:45:23.1644054Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_equalize.py:102: UserWarning: Must call calculate_equalization_scale before calling calculate_scaled_minmax. Will not scale the next quantization observer. 2022-11-23T01:45:23.1644601Z warnings.warn( 2022-11-23T01:45:23.1645436Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:45:23.1645888Z warnings.warn( 2022-11-23T01:45:23.1646099Z ok (0.540s) 2022-11-23T01:45:23.1646465Z test_input_weight_equalization_prepare (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1646934Z Tests that graphs created after prepare_fx is as expected ... ok (0.180s) 2022-11-23T01:45:23.1647384Z test_input_weight_equalization_results (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1647843Z Tests that for small models, the results of quantized models that ... ok (0.227s) 2022-11-23T01:45:23.1648332Z test_input_weight_equalization_weights_bias (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1648822Z After applying the equalization functions check if the weights and ... ok (0.071s) 2022-11-23T01:45:23.1649315Z test_selective_equalization (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:45:23.1649785Z Tests that we are able to run numeric suite on the equalized model ... ok (0.136s) 2022-11-23T01:45:23.1650263Z test_dict_return_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.192s) 2022-11-23T01:45:23.1650796Z test_matching_failure_node_count (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.048s) 2022-11-23T01:45:23.1651349Z test_matching_failure_node_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.039s) 2022-11-23T01:45:23.1651871Z test_methods (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) 2022-11-23T01:45:23.1652290Z Verify that graph matching works on methods ... ok (0.053s) 2022-11-23T01:45:23.1652743Z test_nodes_before_cat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.080s) 2022-11-23T01:45:23.1653952Z test_nodes_with_equal_types_get_matched (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:1204: UserWarning: must run observer before calling calculate_qparams. Returning default scale and zero point 2022-11-23T01:45:23.1654631Z warnings.warn( 2022-11-23T01:45:23.1654871Z ok (0.122s) 2022-11-23T01:45:23.1655271Z test_op_relationship_mapping (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) 2022-11-23T01:45:23.1655797Z Tests that the mapping of op relationships is complete. ... ok (0.009s) 2022-11-23T01:45:23.1656283Z test_results_order (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.175s) 2022-11-23T01:45:23.1657501Z test_simple_fun (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1658546Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1658879Z ok (0.084s) 2022-11-23T01:45:23.1659264Z test_simple_fusion (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.084s) 2022-11-23T01:45:23.1659778Z test_simple_mod (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.062s) 2022-11-23T01:45:23.1660299Z test_simple_mod_multi (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.071s) 2022-11-23T01:45:23.1660917Z test_simple_tensor_ops (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.190s) 2022-11-23T01:45:23.1661437Z test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) 2022-11-23T01:45:23.1661890Z Verify that graph matching works on user defined functions ... ok (0.046s) 2022-11-23T01:45:23.1663001Z test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. 2022-11-23T01:45:23.1663696Z warnings.warn( 2022-11-23T01:45:23.1664623Z /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`. 2022-11-23T01:45:23.1665224Z warnings.warn(msg) 2022-11-23T01:45:23.1665458Z ok (2.997s) 2022-11-23T01:45:23.1665856Z test_mobilenet_v2_qat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... ok (3.777s) 2022-11-23T01:45:23.1666443Z test_add_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:45:23.1667903Z test_add_mul_inputs_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`. 2022-11-23T01:45:23.1668894Z warnings.warn("The TorchScript type system doesn't support " 2022-11-23T01:45:23.1669207Z ok (2.510s) 2022-11-23T01:45:23.1669641Z test_add_shadow_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:45:23.1670988Z test_add_shadow_loggers_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_1 target _packed_weight_1 _packed_weight_1 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1671940Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1672279Z ok (0.607s) 2022-11-23T01:45:23.1672708Z test_add_shadow_loggers_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.457s) 2022-11-23T01:45:23.1673283Z test_add_shadow_loggers_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1673847Z Verify that add_loggers works on methods ... skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast 2022-11-23T01:45:23.1674483Z skipping shadow loggers for node_b: torch.ao.quantization.observer.FixedQParamsObserver, start_node_a: str, unknown dtype cast 2022-11-23T01:45:23.1675039Z skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast 2022-11-23T01:45:23.1675364Z ok (0.130s) 2022-11-23T01:45:23.1675784Z test_add_shadow_loggers_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.945s) 2022-11-23T01:45:23.1676460Z test_add_shadow_loggers_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.382s) 2022-11-23T01:45:23.1677071Z test_extend_logger_results_with_comparison (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.078s) 2022-11-23T01:45:23.1678418Z test_extract_weights_conv_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_2 target _packed_weight_2 _packed_weight_2 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1679543Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1680545Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_3 target _packed_weight_3 _packed_weight_3 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1681314Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1682254Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_4 target _packed_weight_4 _packed_weight_4 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1682989Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1683933Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_5 target _packed_weight_5 _packed_weight_5 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1684717Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1685196Z ok (0.887s) 2022-11-23T01:45:23.1685643Z test_extract_weights_conv_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.769s) 2022-11-23T01:45:23.1686278Z test_extract_weights_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:45:23.1686887Z test_extract_weights_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.251s) 2022-11-23T01:45:23.1687455Z test_extract_weights_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.098s) 2022-11-23T01:45:23.1688054Z test_extract_weights_linear_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.448s) 2022-11-23T01:45:23.1688663Z test_extract_weights_linear_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.418s) 2022-11-23T01:45:23.1689270Z test_extract_weights_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.861s) 2022-11-23T01:45:23.1689871Z test_extract_weights_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (1.075s) 2022-11-23T01:45:23.1690456Z test_fp16_shadows_fp32 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.057s) 2022-11-23T01:45:23.1691338Z test_int8_shadows_fp32_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast 2022-11-23T01:45:23.1692354Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast 2022-11-23T01:45:23.1693103Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._ops.quantized.PyCapsule.mul, unsupported 2022-11-23T01:45:23.1693833Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.mul, unknown dtype cast 2022-11-23T01:45:23.1694684Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unsupported 2022-11-23T01:45:23.1695368Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unknown dtype cast 2022-11-23T01:45:23.1695795Z ok (0.165s) 2022-11-23T01:45:23.1696223Z test_int8_shadows_fp32_simple (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.098s) 2022-11-23T01:45:23.1696878Z test_int8_shadows_int8_fun (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.220s) 2022-11-23T01:45:23.1697396Z test_int8_shadows_int8_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.085s) 2022-11-23T01:45:23.1697958Z test_layer_names (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.254s) 2022-11-23T01:45:23.1698559Z test_linear_fp16_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.435s) 2022-11-23T01:45:23.1699143Z test_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.469s) 2022-11-23T01:45:23.1699767Z test_linear_fp16_vs_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.055s) 2022-11-23T01:45:23.1700371Z test_linear_fp16_weights (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.173s) 2022-11-23T01:45:23.1700959Z test_linear_kwargs_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.047s) 2022-11-23T01:45:23.1701548Z test_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.198s) 2022-11-23T01:45:23.1702084Z test_logging_inputs (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1702759Z Verifies that logging inputs works correctly ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1703481Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1703927Z ok (0.991s) 2022-11-23T01:45:23.1704321Z test_match_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.081s) 2022-11-23T01:45:23.1704908Z test_match_activations_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.545s) 2022-11-23T01:45:23.1705486Z test_match_activations_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.429s) 2022-11-23T01:45:23.1706055Z test_match_activations_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1706496Z Verify that add_loggers works on methods ... ok (0.157s) 2022-11-23T01:45:23.1706978Z test_match_activations_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.662s) 2022-11-23T01:45:23.1707563Z test_match_activations_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.297s) 2022-11-23T01:45:23.1708245Z test_mul_add_cat_stack_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: _operator.mul, start_node_a: _operator.mul, unsupported 2022-11-23T01:45:23.1708962Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.mul, unsupported 2022-11-23T01:45:23.1709641Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported 2022-11-23T01:45:23.1710372Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.mul, unsupported 2022-11-23T01:45:23.1711073Z skipping shadow loggers for node_b: _operator.add, start_node_a: _operator.add, unsupported 2022-11-23T01:45:23.1711657Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.add, unsupported 2022-11-23T01:45:23.1712320Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1712999Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1713761Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1714417Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:45:23.1715031Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: _operator.mul, unsupported 2022-11-23T01:45:23.1715639Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported 2022-11-23T01:45:23.1716227Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: _operator.add, unsupported 2022-11-23T01:45:23.1716855Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1717491Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1718165Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:45:23.1718578Z ok (1.502s) 2022-11-23T01:45:23.1719043Z test_op_io_dtype_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1719550Z Tests that all the ops quantization cares about have input and output ... ok (0.009s) 2022-11-23T01:45:23.1720060Z test_op_with_either_fp32_or_int8_input (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1720788Z Verify that shadowing works with ops which accept either fp32 or ... skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast 2022-11-23T01:45:23.1721617Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast 2022-11-23T01:45:23.1722272Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast 2022-11-23T01:45:23.1722928Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.relu, unknown dtype cast 2022-11-23T01:45:23.1723593Z skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast 2022-11-23T01:45:23.1724269Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast 2022-11-23T01:45:23.1724698Z ok (0.584s) 2022-11-23T01:45:23.1725513Z test_op_with_only_kwargs_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1726402Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:45:23.1727086Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1727737Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:45:23.1728276Z ok (0.297s) 2022-11-23T01:45:23.1728677Z test_ops_with_same_fp32_and_int8_signature (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1729183Z Verifies that we can match pairs of ops which have the same aten ... ok (0.461s) 2022-11-23T01:45:23.1729693Z test_shadow_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.081s) 2022-11-23T01:45:23.1730344Z test_shadow_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.092s) 2022-11-23T01:45:23.1730945Z test_unsupported_op_copy_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1731676Z Copying a `call_function` node is not implemented, test that this ... skipping shadow loggers for node_b: torch.nn.functional.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy 2022-11-23T01:45:23.1732501Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy 2022-11-23T01:45:23.1733266Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy 2022-11-23T01:45:23.1733688Z ok (0.389s) 2022-11-23T01:45:23.1734066Z test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1734983Z Verify that NS APIs work on user defined functions ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:45:23.1735642Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:45:23.1736216Z skipping shadow loggers for node_b: torch._C._nn.linear, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast 2022-11-23T01:45:23.1736979Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast 2022-11-23T01:45:23.1737520Z ok (0.335s) 2022-11-23T01:45:23.1737896Z test_user_module (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:45:23.1739014Z For user defined modules, ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py:149: UserWarning: Passing a prepare_custom_config_dict to prepare is deprecated and will not be supported in a future version. Please pass in a PrepareCustomConfig instead. 2022-11-23T01:45:23.1739647Z warnings.warn( 2022-11-23T01:45:23.1739889Z ok (0.181s) 2022-11-23T01:45:23.1740292Z test_user_module_scriptable (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.217s) 2022-11-23T01:45:23.1740896Z test_compare_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.175s) 2022-11-23T01:45:23.1741542Z test_compare_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.553s) 2022-11-23T01:45:23.1742976Z test_compare_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:310: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:45:23.1743871Z torch.tensor(weight_qparams["scale"], dtype=torch.float, device=device)) 2022-11-23T01:45:23.1744939Z /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:313: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:45:23.1745745Z torch.tensor(weight_qparams["zero_point"], dtype=torch.int, device=device)) 2022-11-23T01:45:23.1746062Z ok (0.277s) 2022-11-23T01:45:23.1746487Z test_compare_shadow_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.218s) 2022-11-23T01:45:23.1747114Z test_compare_shadow_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.685s) 2022-11-23T01:45:23.1747821Z test_compare_shadow_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.136s) 2022-11-23T01:45:23.1748459Z test_compare_weights_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.741s) 2022-11-23T01:45:23.1749047Z test_compare_weights_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.475s) 2022-11-23T01:45:23.1749666Z test_compare_weights_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.341s) 2022-11-23T01:45:23.1750599Z test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1751482Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1752186Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1752871Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1753564Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1754258Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1754921Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1755596Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1756276Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1756954Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1757665Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1758371Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1759131Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1759829Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1760516Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1761208Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1762053Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1762989Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1763687Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1764371Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1765511Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy 2022-11-23T01:45:23.1766273Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy 2022-11-23T01:45:23.1766816Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1767286Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1767760Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1768240Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1768715Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1769173Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1769634Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1770105Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1770568Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1771020Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1771506Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy 2022-11-23T01:45:23.1771850Z ok (10.294s) 2022-11-23T01:45:23.1772300Z test_resnet18 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1772912Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1773410Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1773915Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1774413Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1774908Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1775409Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1775907Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1776458Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1776957Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1777437Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1777974Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1778469Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1778968Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1779455Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1779955Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1780459Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1780936Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1781397Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1781864Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1782335Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1782809Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1783269Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1783736Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:45:23.1803440Z skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast 2022-11-23T01:45:23.1804133Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.flatten, start_node_a: torch._VariableFunctionsClass.flatten, unknown dtype cast 2022-11-23T01:45:23.1804479Z ok (4.390s) 2022-11-23T01:45:23.1805025Z test_sparsenn_compare_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (4.987s) 2022-11-23T01:45:23.1805668Z test_sparsenn_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:45:23.1806350Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:45:23.1806890Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1807398Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:45:23.1808012Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1808507Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:45:23.1809070Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:45:23.1809649Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1810152Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:45:23.1810633Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:45:23.1810942Z ok (5.135s) 2022-11-23T01:45:23.1811360Z test_conv_bn_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1811753Z ok (0.075s) 2022-11-23T01:45:23.1812956Z test_functions (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){}). 2022-11-23T01:45:23.1813924Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:45:23.1814277Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:45:23.1814558Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:45:23.1814899Z warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize " 2022-11-23T01:45:23.1815313Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1815589Z ok (0.260s) 2022-11-23T01:45:23.1815997Z test_linear_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1816385Z ok (0.030s) 2022-11-23T01:45:23.1816785Z test_linear_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1817175Z ok (0.087s) 2022-11-23T01:45:23.1817490Z test_logger_enabled_and_save_activations_flags (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.043s) 2022-11-23T01:45:23.1818037Z test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1818414Z ok (3.858s) 2022-11-23T01:45:23.1818806Z test_partial_qconfig_mapping (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... unable to find at least one qconfig for node %fc : [#users=1] = call_module[target=fc](args = (%x,), kwargs = {}), skipping 2022-11-23T01:45:23.1819321Z unable to find at least one qconfig for node %add : [#users=1] = call_function[target=operator.add](args = (%relu, %relu), kwargs = {}), skipping 2022-11-23T01:45:23.1819780Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1820053Z ok (0.035s) 2022-11-23T01:45:23.1820362Z test_qconfig_multi_mapping_deduplication (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.001s) 2022-11-23T01:45:23.1820930Z test_qconfig_multi_mapping_end_to_end (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1821367Z ok (0.071s) 2022-11-23T01:45:23.1821780Z test_qconfig_multi_mapping_from_list (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1822181Z ok (0.071s) 2022-11-23T01:45:23.1822496Z test_qconfig_multi_mapping_insert_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s) 2022-11-23T01:45:23.1823054Z test_qconfig_multi_mapping_ordering (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:45:23.1823456Z ok (0.090s) 2022-11-23T01:45:23.1823761Z test_qconfig_multi_mapping_retroactive_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s) 2022-11-23T01:45:23.1824184Z test_fq_module_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.203s) 2022-11-23T01:45:23.1824581Z test_fq_serializable_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.004s) 2022-11-23T01:45:23.1824961Z test_quant_min_max_override (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.002s) 2022-11-23T01:45:23.1825334Z test_backward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:45:23.1825736Z Tests the backward method. ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.104s) 2022-11-23T01:45:23.1826161Z test_backward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.017s) 2022-11-23T01:45:23.1826597Z test_backward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:45:23.1827009Z test_backward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:45:23.1827337Z Tests the backward method. ... skip: temporarily disable the test (0.005s) 2022-11-23T01:45:23.1827699Z test_backward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.011s) 2022-11-23T01:45:23.1828132Z test_backward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:45:23.1828550Z test_fake_quant_control (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.009s) 2022-11-23T01:45:23.1828947Z test_fake_quant_per_channel_qparam_range (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.385s) 2022-11-23T01:45:23.1829378Z test_fake_quant_preserves_qparam_shapes_for_activations (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.005s) 2022-11-23T01:45:23.1829783Z test_fixed_qparams_fq_module (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.105s) 2022-11-23T01:45:23.1830519Z test_forward_backward_per_tensor_with_amp (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... /opt/conda/lib/python3.10/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling 2022-11-23T01:45:23.1831146Z warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling') 2022-11-23T01:45:23.1831525Z ok (0.007s) 2022-11-23T01:45:23.1831782Z test_forward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:45:23.1832136Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.127s) 2022-11-23T01:45:23.1832517Z test_forward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.014s) 2022-11-23T01:45:23.1832975Z test_forward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:45:23.1833423Z test_forward_per_channel_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.012s) 2022-11-23T01:45:23.1833815Z test_forward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:45:23.1834162Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.099s) 2022-11-23T01:45:23.1834527Z test_forward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.011s) 2022-11-23T01:45:23.1834969Z test_forward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:45:23.1835417Z test_forward_per_tensor_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.005s) 2022-11-23T01:45:23.1835823Z test_fq_module_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.144s) 2022-11-23T01:45:23.1836198Z test_fq_serializable_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.008s) 2022-11-23T01:45:23.1836703Z test_learnable_backward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:45:23.1837238Z test_learnable_backward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.003s) 2022-11-23T01:45:23.1837679Z test_learnable_backward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.425s) 2022-11-23T01:45:23.1838109Z test_learnable_backward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.008s) 2022-11-23T01:45:23.1838548Z test_learnable_forward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.244s) 2022-11-23T01:45:23.1839075Z test_learnable_forward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s) 2022-11-23T01:45:23.1839614Z test_learnable_forward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:45:23.1840128Z test_learnable_forward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.003s) 2022-11-23T01:45:23.1840569Z test_numerical_consistency_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.076s) 2022-11-23T01:45:23.1840984Z test_numerical_consistency_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.032s) 2022-11-23T01:45:23.1841364Z test_forward_hooks_preserved (quantization.eager.test_fuse_eager.TestFuseEager) 2022-11-23T01:45:23.1841696Z Test case that checks whether forward pre hooks of the first module and ... ok (0.025s) 2022-11-23T01:45:23.1842055Z test_fuse_function_customization (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.002s) 2022-11-23T01:45:23.1842420Z test_fuse_module_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.052s) 2022-11-23T01:45:23.1842774Z test_fuse_module_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.690s) 2022-11-23T01:45:23.1843144Z test_fusion_conv_with_bias (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.059s) 2022-11-23T01:45:23.1843515Z test_fusion_convtranspose_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.005s) 2022-11-23T01:45:23.1843880Z test_fusion_linear_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.003s) 2022-11-23T01:45:23.1844232Z test_fusion_sequential_model_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (1.065s) 2022-11-23T01:45:23.1844649Z test_fusion_sequential_model_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.382s) 2022-11-23T01:45:23.1845335Z test_fuse_addtional_fuser_method (quantization.fx.test_quantize_fx.TestFuseFx) ... skip: Temporarily skipping the test case, will enable after the simplepattern format is supported (0.002s) 2022-11-23T01:45:23.1845775Z test_fuse_conv_bn_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.027s) 2022-11-23T01:45:23.1846108Z test_fuse_convtranspose_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.007s) 2022-11-23T01:45:23.1846457Z test_fuse_custom_pattern (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.009s) 2022-11-23T01:45:23.1846794Z test_fuse_linear_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.006s) 2022-11-23T01:45:23.1847127Z test_fuse_module_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.008s) 2022-11-23T01:45:23.1847454Z test_fusion_pattern_with_matchallnode (quantization.fx.test_quantize_fx.TestFuseFx) 2022-11-23T01:45:23.1847805Z This test tests that the node matched by MatchAllNode will be regared as an input ... ok (0.005s) 2022-11-23T01:45:23.1848156Z test_fusion_pattern_with_multiple_inputs (quantization.fx.test_quantize_fx.TestFuseFx) 2022-11-23T01:45:23.1848466Z This test tests two keys in backend_config: root_node_getter and ... ok (0.005s) 2022-11-23T01:45:23.1848798Z test_problematic_fuse_example (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.014s) 2022-11-23T01:45:23.1849128Z test_qconfig_fused_module (quantization.fx.test_quantize_fx.TestFuseFx) 2022-11-23T01:45:23.1849406Z TODO: add test for all fused modules ... ok (0.037s) 2022-11-23T01:45:23.1849729Z test_fused_backward_op_fake_quant_off (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.005s) 2022-11-23T01:45:23.1850142Z test_fused_obs_fake_quant_backward_op (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.005s) 2022-11-23T01:45:23.1850548Z test_fused_obs_fake_quant_moving_avg (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) 2022-11-23T01:45:23.1850889Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.012s) 2022-11-23T01:45:23.1851255Z test_fused_obs_fake_quant_moving_avg_per_channel (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) 2022-11-23T01:45:23.1851616Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.036s) 2022-11-23T01:45:23.1852008Z test_compare_fused_obs_fq_oss_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.009s) 2022-11-23T01:45:23.1852440Z test_default_fused_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.014s) 2022-11-23T01:45:23.1852872Z test_embedding_bag_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.016s) 2022-11-23T01:45:23.1853304Z test_embedding_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.112s) 2022-11-23T01:45:23.1853734Z test_fused_mod_per_channel (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.047s) 2022-11-23T01:45:23.1854154Z test_fused_mod_reduce_range (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.002s) 2022-11-23T01:45:23.1854581Z test_fused_obs_fq_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.006s) 2022-11-23T01:45:23.1855069Z test_fused_obs_fq_moving_avg_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.015s) 2022-11-23T01:45:23.1855488Z test_quantized_add_relu_fusion (quantization.jit.test_fusion_passes.TestFusionPasses) ... ok (0.022s) 2022-11-23T01:45:23.1855924Z test_input_weight_equalization_determine_points (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.056s) 2022-11-23T01:45:23.1856416Z test_input_weight_equalization_report_gen (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.051s) 2022-11-23T01:45:23.1856946Z test_input_weight_equalization_report_gen_empty (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.013s) 2022-11-23T01:45:23.1857389Z test_all_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.024s) 2022-11-23T01:45:23.1857788Z test_multiple_run_consistent_spike_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.106s) 2022-11-23T01:45:23.1858197Z test_no_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.026s) 2022-11-23T01:45:23.1858591Z test_outlier_detection_determine_points (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.030s) 2022-11-23T01:45:23.1858970Z test_constructor (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:45:23.1859274Z Tests the constructor of the ModelReport class. ... ok (0.017s) 2022-11-23T01:45:23.1859620Z test_equalization_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:45:23.1859962Z Tests for generation of qconfigs by ModelReport API ... ok (0.056s) 2022-11-23T01:45:23.1860274Z test_generate_report (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:45:23.1860889Z Tests model_report.generate_model_report to ensure report generation ... /var/lib/jenkins/workspace/test/quantization/fx/test_model_report_fx.py:1061: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:45:23.1861460Z example_input = torch.tensor(torch.randint(100, (1, 3, 3, 3)), dtype=torch.float) 2022-11-23T01:45:23.1861694Z ok (0.155s) 2022-11-23T01:45:23.1861951Z test_generate_visualizer (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:45:23.1862335Z Tests that the ModelReport class can properly create the ModelReportVisualizer instance ... ok (0.035s) 2022-11-23T01:45:23.1862719Z test_prepare_model_callibration (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:45:23.1863104Z Tests model_report.prepare_detailed_calibration that prepares the model for callibration ... ok (0.028s) 2022-11-23T01:45:23.1863471Z test_qconfig_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:45:23.1863806Z Tests for generation of qconfigs by ModelReport API ... ok (0.057s) 2022-11-23T01:45:23.1864190Z test_nested_detection_case (quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic) ... ok (0.049s) 2022-11-23T01:45:23.1864618Z test_conv_sub_class_considered (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.024s) 2022-11-23T01:45:23.1865032Z test_fusion_layer_in_sequential (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.021s) 2022-11-23T01:45:23.1865461Z test_multi_linear_model_without_per_channel (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.018s) 2022-11-23T01:45:23.1865879Z test_multiple_q_config_options (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.021s) 2022-11-23T01:45:23.1866280Z test_qat_aware_model_example (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.013s) 2022-11-23T01:45:23.1866719Z test_sequential_model_format (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.022s) 2022-11-23T01:45:23.1867115Z test_simple_conv (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.014s) 2022-11-23T01:45:23.1867506Z test_observer_after_relu (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.020s) 2022-11-23T01:45:23.1867902Z test_random_epochs_and_batches (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.144s) 2022-11-23T01:45:23.1868331Z test_single_batch_of_ones (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.007s) 2022-11-23T01:45:23.1868728Z test_zero_tensor_errors (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.020s) 2022-11-23T01:45:23.1869136Z test_generate_tables_match_with_report (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:45:23.1869445Z Tests the generate_table_view() ... ok (0.035s) 2022-11-23T01:45:23.1869768Z test_generate_tables_no_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:45:23.1870079Z Tests the generate_table_view() ... ok (0.033s) 2022-11-23T01:45:23.1870399Z test_generate_tables_single_feat_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:45:23.1870716Z Tests the generate_table_view() ... ok (0.051s) 2022-11-23T01:45:23.1871033Z test_get_modules_and_features (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:45:23.1871403Z Tests the get_all_unique_module_fqns and get_all_unique_feature_names methods of ... ok (0.066s) 2022-11-23T01:45:23.1871761Z test_histogram_observer (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (20.974s) 2022-11-23T01:45:23.1872187Z test_histogram_observer_against_reference (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (4.498s) 2022-11-23T01:45:23.1872613Z test_histogram_observer_extreme_inputs (quantization.core.test_workflow_module.TestHistogramObserver) 2022-11-23T01:45:23.1872972Z Ensures that the HistogramObserver is able to work correctly in ... ok (0.002s) 2022-11-23T01:45:23.1873329Z test_histogram_observer_one_sided (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.360s) 2022-11-23T01:45:23.1873744Z test_histogram_observer_same_inputs (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.640s) 2022-11-23T01:45:23.1874151Z test_observer_scriptable (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.483s) 2022-11-23T01:45:23.1874559Z test_fake_quant_true_quant_compare (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.179s) 2022-11-23T01:45:23.1874989Z test_float_quant_compare_per_channel (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.030s) 2022-11-23T01:45:23.1875419Z test_float_quant_compare_per_tensor (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.133s) 2022-11-23T01:45:23.1875859Z test_weight_only_activation_only_fakequant (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.258s) 2022-11-23T01:45:23.1876289Z test_compare_model_outputs_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.188s) 2022-11-23T01:45:23.1876730Z test_compare_model_outputs_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.194s) 2022-11-23T01:45:23.1877174Z test_compare_model_outputs_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.024s) 2022-11-23T01:45:23.1877615Z test_compare_model_outputs_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.718s) 2022-11-23T01:45:23.1878038Z test_compare_model_outputs_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.045s) 2022-11-23T01:45:23.1878466Z test_compare_model_stub_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.247s) 2022-11-23T01:45:23.1879017Z test_compare_model_stub_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.182s) 2022-11-23T01:45:23.1879477Z test_compare_model_stub_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.025s) 2022-11-23T01:45:23.1879899Z test_compare_model_stub_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.667s) 2022-11-23T01:45:23.1880381Z test_compare_model_stub_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.043s) 2022-11-23T01:45:23.1880808Z test_compare_model_stub_partial (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.593s) 2022-11-23T01:45:23.1881240Z test_compare_model_stub_submodule_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.039s) 2022-11-23T01:45:23.1881660Z test_compare_weights_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.152s) 2022-11-23T01:45:23.1882084Z test_compare_weights_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.006s) 2022-11-23T01:45:23.1882511Z test_compare_weights_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.661s) 2022-11-23T01:45:23.1882939Z test_compare_weights_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.009s) 2022-11-23T01:45:23.1884067Z test_mobilenet_v2 (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights. 2022-11-23T01:45:23.1884727Z warnings.warn(msg) 2022-11-23T01:45:23.1885383Z Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth 2022-11-23T01:45:23.1885643Z 2022-11-23T01:45:23.1885732Z 0%| | 0.00/13.6M [00:00, quant_min=0, quant_max=63, dtype=torch.quint8){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f39483a6ef0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f39483a6ef0>}) 2022-11-23T01:45:23.1959724Z warnings.warn(("QConfig %s quantization range must fall within the backend's:\n" 2022-11-23T01:45:23.1960235Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:994: UserWarning: QConfig activation quantization range must fall within the backend's: 2022-11-23T01:45:23.1961564Z QConfig range = (0, 255), BackendConfig range = (0, 31), ignoring QConfig(activation=functools.partial(, dtype=torch.quint8){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947d23370>}, weight=functools.partial(, quant_min=-128, quant_max=127, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947d23370>}) 2022-11-23T01:45:23.1962470Z warnings.warn(("QConfig %s quantization range must fall within the backend's:\n" 2022-11-23T01:45:23.1963308Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:990: UserWarning: QConfig activation must specify 'quant_min' and 'quant_max', ignoring QConfig(activation=, weight=) 2022-11-23T01:45:23.1964044Z warnings.warn("QConfig %s must specify 'quant_min' and 'quant_max', ignoring %s" % 2022-11-23T01:45:23.1964276Z ok (0.037s) 2022-11-23T01:45:23.1964535Z test_backend_config_scale_min (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1966335Z Test QConfig eps validation against the BackendConfig's min scale value. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1005: UserWarning: QConfig activation eps (tensor([6.1035e-05])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(, dtype=torch.quint8, eps=6.103515625e-05){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947d7e7a0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947d7e7a0>}) 2022-11-23T01:45:23.1967465Z warnings.warn(("QConfig %s eps (%s) must be greater than or equal to " 2022-11-23T01:45:23.1968946Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1005: UserWarning: QConfig activation eps (tensor([1.1921e-07])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(, dtype=torch.quint8){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947d7d120>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric, eps=6.103515625e-05){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947d7d120>}) 2022-11-23T01:45:23.1969918Z warnings.warn(("QConfig %s eps (%s) must be greater than or equal to " 2022-11-23T01:45:23.1970869Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1002: UserWarning: QConfig activation must specify 'eps', ignoring QConfig(activation=functools.partial(, scale=1.0, zero_point=0){}, weight=functools.partial(, scale=1.0, zero_point=0){}) 2022-11-23T01:45:23.1971639Z warnings.warn("QConfig %s must specify 'eps', ignoring %s" % (debug_string, qconfig)) 2022-11-23T01:45:23.1971874Z ok (0.050s) 2022-11-23T01:45:23.1972154Z test_change_backend_config_for_fixed_qparam_ops (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1972514Z Making sure we can skip validation of qconfigs for fixedqparam ops based ... ok (0.007s) 2022-11-23T01:45:23.1972848Z test_channel_shuffle_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.079s) 2022-11-23T01:45:23.1973191Z test_conv_bn_relu (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1973566Z Tests fusion and quantization for "Conv - Bn" and "Conv - Bn - ReLU" ... ok (1.273s) 2022-11-23T01:45:23.1973891Z test_conv_linear_not_reference (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1974164Z Test quantizing conv and linear ... ok (1.675s) 2022-11-23T01:45:23.1974449Z test_conv_linear_reference (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1974776Z Test quantizing functional conv and linear with reference option ... ok (1.756s) 2022-11-23T01:45:23.1975092Z test_conv_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.071s) 2022-11-23T01:45:23.1975453Z test_convert_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.1975855Z test_convert_custom_config_set_observed_to_quantized_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1976315Z test_convert_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1976694Z test_convert_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1977498Z test_convert_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/convert.py:877: UserWarning: Passing a QConfig dictionary to convert is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:45:23.1978006Z warnings.warn( 2022-11-23T01:45:23.1978623Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_1_packed_weight_0 target mods1_1_packed_weight_0 mods1_1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1979186Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1979853Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_0_packed_weight_0 target mods1_0_packed_weight_0 mods1_0_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1980397Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1980637Z ok (0.102s) 2022-11-23T01:45:23.1980898Z test_convtranspose_per_channel_fails_early (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1981333Z Verifies that attempting to quantize a ConvTranspose module with per-Channel ... ok (0.014s) 2022-11-23T01:45:23.1981688Z test_copy_node_has_shared_actpp_instance (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1981997Z Test the output of CopyNode to have the same ... ok (0.045s) 2022-11-23T01:45:23.1982297Z test_custom_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.084s) 2022-11-23T01:45:23.1982659Z test_custom_module_class_input_has_multiple_users (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1982998Z Tests that the flow still works when the input of custom module ... ok (0.028s) 2022-11-23T01:45:23.1983340Z test_deepcopy_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.1983688Z test_default_quant_after_none_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1984001Z Make sure default quant is inserted properly ... ok (0.022s) 2022-11-23T01:45:23.1984287Z test_dequantize (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1984569Z Test to make sure dequantize node are placed before ... ok (0.231s) 2022-11-23T01:45:23.1984865Z test_dict_output (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1985174Z Make sure quantization runs for models with dictionary output ... ok (0.022s) 2022-11-23T01:45:23.1985496Z test_dynamic_linear_input_multiple_use (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1985823Z Tests input for dynamic linear being used by multiple ops ... ok (0.040s) 2022-11-23T01:45:23.1986147Z test_dynamic_quant_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.059s) 2022-11-23T01:45:23.1986491Z test_dynamic_quant_weight_observer (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1986791Z Test that weight observer is run in convert step ... ok (0.018s) 2022-11-23T01:45:23.1987092Z test_dynamic_with_fusion (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1987879Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods2_packed_weight_0 target mods2_packed_weight_0 mods2_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.1988537Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.1988768Z ok (0.050s) 2022-11-23T01:45:23.1989032Z test_dynamic_with_fusion_multiple_uses (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1989370Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... ok (0.037s) 2022-11-23T01:45:23.1989675Z test_fold_quant_dequant (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1990072Z Test that the sequence of quant-dequant nodes in the ... ok (0.024s) 2022-11-23T01:45:23.1990397Z test_fp32_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s) 2022-11-23T01:45:23.1990752Z test_fp32_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.164s) 2022-11-23T01:45:23.1991069Z test_fp32_sum (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1991431Z Verifies that fp32 sum works correctly if it's before or after ... ok (0.051s) 2022-11-23T01:45:23.1991769Z test_fuse_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1992156Z test_fuse_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1992524Z test_fuse_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1992882Z test_fused_module_qat_swap (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s) 2022-11-23T01:45:23.1993233Z test_fusion_pattern_unquantized (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1993548Z Ensure that leaving a possible fusion pattern of multiple nodes ... ok (0.022s) 2022-11-23T01:45:23.1993883Z test_get_default_qconfig_valid_backend (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1994240Z Checks that AssertionError is raised when non expected backend input is specified ... ok (0.001s) 2022-11-23T01:45:23.1994607Z test_get_executorch_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.1994951Z test_getattr_with_nontensor_result (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1995273Z Verifies that binary ops get quantized correctly if some ... ok (0.055s) 2022-11-23T01:45:23.1995582Z test_linear_bn (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.902s) 2022-11-23T01:45:23.1995905Z test_linear_qint8_activation (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1996216Z Test support for qint8 activation in reference pattern ... ok (0.019s) 2022-11-23T01:45:23.1996594Z test_masked_fill_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.1996954Z test_mul_add_fp16_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s) 2022-11-23T01:45:23.1997301Z test_no_obs_between_unmatched_node_and_copy_node (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1997639Z Verifies that an observer is not inserted between an unmatched ... ok (0.021s) 2022-11-23T01:45:23.1997968Z test_non_traceable_module (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.014s) 2022-11-23T01:45:23.1998276Z test_not_used (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1998541Z Test quantizing a not used value ... ok (0.016s) 2022-11-23T01:45:23.1998818Z test_observer_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1999246Z Test to make sure the observer FQN is based on the quantizable op/module that it is observing ... ok (0.025s) 2022-11-23T01:45:23.1999581Z test_output_lists_and_dicts (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.1999904Z Verify that specifying complicated output types does not crash. ... ok (0.019s) 2022-11-23T01:45:23.2000243Z test_packed_weight_fused_op (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.034s) 2022-11-23T01:45:23.2000620Z test_pattern_match (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2000887Z test MatchAllNode with ... ok (0.008s) 2022-11-23T01:45:23.2001199Z test_permute_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2001581Z test_prepare_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:45:23.2001998Z test_prepare_custom_config_set_float_to_observed_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2002420Z test_prepare_custom_config_set_input_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2002838Z test_prepare_custom_config_set_non_traceable_module_classes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2003260Z test_prepare_custom_config_set_non_traceable_module_names (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2003664Z test_prepare_custom_config_set_output_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2004075Z test_prepare_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2004272Z test_prepare_custom_config_set_standalone_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2004471Z test_prepare_custom_config_set_standalone_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2004651Z test_prepare_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.2004986Z test_prepare_mode (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.057s) 2022-11-23T01:45:23.2005195Z test_prepared_model_deepcopy (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2005344Z Ensures that copy.deepcopy works correctly on a prepared model. ... ok (0.021s) 2022-11-23T01:45:23.2005512Z test_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:45:23.2005662Z test_preserve_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2005822Z Test to make sure the temporary config option to preserve qconfig attributes ... ok (0.025s) 2022-11-23T01:45:23.2005971Z test_preserve_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2006086Z Test tuple input type is preserved ... ok (0.016s) 2022-11-23T01:45:23.2006279Z test_propagate_dtypes_for_known_nodes_dict_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s) 2022-11-23T01:45:23.2006481Z test_propagate_dtypes_for_known_nodes_dict_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:45:23.2006669Z test_propagate_dtypes_for_known_nodes_dict_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s) 2022-11-23T01:45:23.2006858Z test_propagate_dtypes_for_known_nodes_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2007050Z test_propagate_dtypes_for_known_nodes_split_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2007247Z test_propagate_dtypes_for_known_nodes_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2007447Z test_propagate_dtypes_for_known_nodes_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2007609Z test_qat_and_script (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.356s) 2022-11-23T01:45:23.2007936Z test_qat_prepare_device_affinity (quantization.fx.test_quantize_fx.TestQuantizeFx) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:45:23.2008100Z test_qat_skip_untraced (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s) 2022-11-23T01:45:23.2008335Z test_qconfig_dict_setup (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.160s) 2022-11-23T01:45:23.2008503Z test_qconfig_dict_with_fused_modules (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.123s) 2022-11-23T01:45:23.2008670Z test_qconfig_for_call_func (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s) 2022-11-23T01:45:23.2008837Z test_qconfig_for_call_method (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.058s) 2022-11-23T01:45:23.2009036Z test_qconfig_function (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.020s) 2022-11-23T01:45:23.2009212Z test_qconfig_mapping_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.2009386Z test_qconfig_mapping_set_global (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:45:23.2009566Z test_qconfig_mapping_set_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.2009765Z test_qconfig_mapping_set_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:45:23.2009952Z test_qconfig_mapping_set_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.2010121Z test_qconfig_mapping_set_object_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.2010293Z test_qconfig_mapping_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:45:23.2010482Z test_qconfig_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.075s) 2022-11-23T01:45:23.2010653Z test_qconfig_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2010816Z test_qconfig_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2010973Z test_qconfig_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:45:23.2011142Z test_qconfig_precedence (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.020s) 2022-11-23T01:45:23.2011311Z test_qconfig_qat_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s) 2022-11-23T01:45:23.2011468Z test_qnnpack_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2011635Z Test whether default QNNPACK QConfigs are compatible with the QNNPACK BackendConfig. ... ok (1.070s) 2022-11-23T01:45:23.2011797Z test_qparams_buffers (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.050s) 2022-11-23T01:45:23.2011941Z test_qparams_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2012067Z Test that the FQN of input_scale/zero_point is set ... ok (0.032s) 2022-11-23T01:45:23.2012230Z test_quant_output_always_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2012367Z If the output is hardcoded to be quantized, ensure that ... ok (0.100s) 2022-11-23T01:45:23.2012550Z test_quantized_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2012732Z test_quantized_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:45:23.2012875Z test_quantized_model_type (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2013029Z Test state_dict and deepcopy works properly in the quantized model ... ok (0.040s) 2022-11-23T01:45:23.2013177Z test_ref_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2013310Z Make sure the numerics for models with ref conv module ... ok (0.283s) 2022-11-23T01:45:23.2013510Z test_ref_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2013643Z Make sure the numerics for models with ref linear module ... ok (0.048s) 2022-11-23T01:45:23.2013808Z test_register_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:45:23.2014007Z test_relu_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s) 2022-11-23T01:45:23.2014156Z test_remove_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.019s) 2022-11-23T01:45:23.2014342Z test_repeat_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2014507Z test_reroute_tuple_getitem_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2014712Z The following graph should redirect the output to `b`. After the transformation, ... ok (0.002s) 2022-11-23T01:45:23.2014901Z test_reshape_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2015060Z test_return_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.014s) 2022-11-23T01:45:23.2015229Z test_reuse_input_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.136s) 2022-11-23T01:45:23.2015402Z test_save_observer_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.516s) 2022-11-23T01:45:23.2015559Z test_sequential (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.327s) 2022-11-23T01:45:23.2015712Z test_shape_followed_by_quantized_op (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2015830Z Make sure that shape does not dequantize ... ok (0.027s) 2022-11-23T01:45:23.2016013Z test_size_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.020s) 2022-11-23T01:45:23.2016192Z test_stack_trace_preserved_linear (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2016375Z test_standalone_module_float_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.117s) 2022-11-23T01:45:23.2016564Z test_standalone_module_quantized_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.115s) 2022-11-23T01:45:23.2016704Z test_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2016833Z Make sure packed params appear in state_dict ... ok (0.086s) 2022-11-23T01:45:23.2016965Z test_static_lstm (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2017136Z Test statically quantized custom module LSTM followed by ops that consume individual ... ok (0.264s) 2022-11-23T01:45:23.2017293Z test_static_lstm_consume_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2017465Z Test statically quantized custom module LSTM followed by a module that consumes the ... ok (0.240s) 2022-11-23T01:45:23.2017641Z test_static_lstm_with_custom_fixed_qparams (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2017809Z Test statically quantized LSTM with custom fixed qparams assigned to each of the ... ok (0.074s) 2022-11-23T01:45:23.2017963Z test_sub_scalar (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s) 2022-11-23T01:45:23.2018134Z test_symmetric_qnnpack_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:45:23.2018328Z Test whether `torch.ao.quantization.qconfig_mapping._get_symmetric_qnnpack_qconfig_mapping` ... ok (0.507s) 2022-11-23T01:45:23.2018507Z test_torch_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2018700Z test_torch_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.161s) 2022-11-23T01:45:23.2018875Z test_trace_quantize_per_tensor (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:45:23.2019058Z test_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2019244Z test_unsqueeze__nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s) 2022-11-23T01:45:23.2019431Z test_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:45:23.2019650Z test_view_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:45:23.2019824Z test_model_dropout (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.614s) 2022-11-23T01:45:23.2020057Z test_prepare_serialize_switch_device_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s) 2022-11-23T01:45:23.2020224Z test_qat_embedding_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.591s) 2022-11-23T01:45:23.2020439Z test_qat_embeddingbag_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.639s) 2022-11-23T01:45:23.2020618Z test_qat_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.285s) 2022-11-23T01:45:23.2021029Z test_resnet18_ddp (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: TODO: Test is always failing - https://github.com/pytorch/pytorch/issues/54979 (0.000s) 2022-11-23T01:45:23.2021200Z test_resnet_base (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.139s) 2022-11-23T01:45:23.2021412Z test_static_gpu_convert_basic (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s) 2022-11-23T01:45:23.2021629Z test_switch_device_prepare_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s) 2022-11-23T01:45:23.2021832Z test_torchvision (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: skip for now since tbb failed (0.001s) 2022-11-23T01:45:23.2021991Z test_add (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.887s) 2022-11-23T01:45:23.2022137Z test_add_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (6.147s) 2022-11-23T01:45:23.2022320Z test_add_relu_multiple_uses_of_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.041s) 2022-11-23T01:45:23.2022484Z test_ave_pool_with_custom_cfg (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2022618Z A test that checks correct patterns are produced for ... ok (0.018s) 2022-11-23T01:45:23.2022843Z test_bmm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:45:23.2023002Z test_bmm_int_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2023208Z int8 is not supported for bmm so we won't produce reference ... ok (0.015s) 2022-11-23T01:45:23.2023366Z test_boolean_tensor (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2023557Z Make sure we don't insert observer for boolean Tensors ... ok (0.015s) 2022-11-23T01:45:23.2023686Z test_cat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2023820Z quantization of the output of cat will depend on the ... ok (0.448s) 2022-11-23T01:45:23.2023977Z test_chunk (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.022s) 2022-11-23T01:45:23.2024136Z test_clamp (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.250s) 2022-11-23T01:45:23.2024298Z test_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.429s) 2022-11-23T01:45:23.2024468Z test_conv_transpose_1d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.494s) 2022-11-23T01:45:23.2024637Z test_conv_transpose_2d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.180s) 2022-11-23T01:45:23.2024800Z test_copy_node_fp32_input (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2024934Z CopyNode works for both fp32 and int8 inputs, this is a test to make ... ok (0.017s) 2022-11-23T01:45:23.2025162Z test_div (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s) 2022-11-23T01:45:23.2025321Z test_elu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.673s) 2022-11-23T01:45:23.2025528Z test_embedding (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.237s) 2022-11-23T01:45:23.2025695Z test_embedding_bag (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.077s) 2022-11-23T01:45:23.2025862Z test_fixed_qparams_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.347s) 2022-11-23T01:45:23.2026037Z test_fixed_qparams_ops_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.037s) 2022-11-23T01:45:23.2026254Z test_fixed_qparams_ops_qint8 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.047s) 2022-11-23T01:45:23.2026426Z test_fixed_qparams_ops_wrong_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2027855Z Test that wrong qconfigs for fixed qparams ops results in the ops not being quantized. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce0ee0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce0ee0>}). 2022-11-23T01:45:23.2028087Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:45:23.2028213Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:45:23.2028331Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:45:23.2028517Z warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize " 2022-11-23T01:45:23.2029806Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce36d0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce36d0>}). 2022-11-23T01:45:23.2030035Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:45:23.2030161Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:45:23.2030288Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:45:23.2030474Z warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize " 2022-11-23T01:45:23.2031762Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce32e0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce32e0>}). 2022-11-23T01:45:23.2032033Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:45:23.2032160Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:45:23.2032286Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:45:23.2032472Z warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize " 2022-11-23T01:45:23.2033749Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce3490>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7f3947ce3490>}). 2022-11-23T01:45:23.2034014Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:45:23.2034137Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:45:23.2034263Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:45:23.2034435Z warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize " 2022-11-23T01:45:23.2034506Z ok (0.028s) 2022-11-23T01:45:23.2034675Z test_float_functional (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.094s) 2022-11-23T01:45:23.2034842Z test_functional_conv (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (8.624s) 2022-11-23T01:45:23.2035012Z test_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (11.747s) 2022-11-23T01:45:23.2035226Z test_gelu_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.000s) 2022-11-23T01:45:23.2035470Z test_gelu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:45:23.2035666Z test_general_shape_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2035780Z A test that checks dequantize will be swapped for ... ok (0.218s) 2022-11-23T01:45:23.2035945Z test_general_value_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2036082Z A test that checks correct patterns are produced for ... ok (0.066s) 2022-11-23T01:45:23.2036226Z test_getitem (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2036384Z Make sure we only insert observer for getitem if the following node is matched ... ok (0.051s) 2022-11-23T01:45:23.2036544Z test_hardswish (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.754s) 2022-11-23T01:45:23.2036709Z test_instance_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.592s) 2022-11-23T01:45:23.2036874Z test_int8_input_no_unnecessary_fq (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2036997Z If the inputs to the graph are quantized and the only node ... ok (0.016s) 2022-11-23T01:45:23.2037159Z test_layer_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.532s) 2022-11-23T01:45:23.2037319Z test_leaky_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.684s) 2022-11-23T01:45:23.2037492Z test_linear_dynamic_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.414s) 2022-11-23T01:45:23.2037656Z test_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (3.709s) 2022-11-23T01:45:23.2037825Z test_linear_static_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.560s) 2022-11-23T01:45:23.2038105Z test_mish_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:45:23.2038256Z test_mul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.888s) 2022-11-23T01:45:23.2038414Z test_mul_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (6.153s) 2022-11-23T01:45:23.2038616Z test_multiple_qconfigs_for_single_value (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2038735Z Test multiple qconfigs for a single value ... ok (0.022s) 2022-11-23T01:45:23.2039518Z test_norm_weight_bias (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_packed_weight_0 target mods1_packed_weight_0 mods1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.2039735Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.2039802Z ok (0.362s) 2022-11-23T01:45:23.2039961Z test_prelu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.372s) 2022-11-23T01:45:23.2040125Z test_qbatch_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.388s) 2022-11-23T01:45:23.2040295Z test_qbatch_norm_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.598s) 2022-11-23T01:45:23.2040450Z test_qmatmul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.111s) 2022-11-23T01:45:23.2040611Z test_quantized_add_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.028s) 2022-11-23T01:45:23.2040774Z test_quantized_conv_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:45:23.2040895Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (1.973s) 2022-11-23T01:45:23.2041059Z test_quantized_mul_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.025s) 2022-11-23T01:45:23.2041233Z test_ref_pattern_multi_use (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.025s) 2022-11-23T01:45:23.2041398Z test_reshape_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.027s) 2022-11-23T01:45:23.2041551Z test_rnn (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.029s) 2022-11-23T01:45:23.2041708Z test_rnn_cell (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (2.681s) 2022-11-23T01:45:23.2041931Z test_silu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:45:23.2042152Z test_softmax_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.000s) 2022-11-23T01:45:23.2042392Z test_softmax_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:45:23.2042619Z test_sub (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s) 2022-11-23T01:45:23.2042835Z test_sum (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:45:23.2042992Z test_conv (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (2.279s) 2022-11-23T01:45:23.2043149Z test_conv_bn (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.377s) 2022-11-23T01:45:23.2043506Z test_conv_transpose (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W insert_observers.cpp:1580] Warning: prim::Loop is not yet supported in quantization, please make sure nothing needs to be quantized in the loop (function operator()) 2022-11-23T01:45:23.2043574Z ok (0.602s) 2022-11-23T01:45:23.2043837Z test_linear_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.2044045Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:45:23.2044100Z ok (0.031s) 2022-11-23T01:45:23.2045417Z test_nested (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:806: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T01:45:23.2045569Z if param.grad is not None: 2022-11-23T01:45:23.2045637Z ok (1.194s) 2022-11-23T01:45:23.2045809Z test_observer_with_ignored_function (quantization.jit.test_quantize_jit.TestQuantizeJit) 2022-11-23T01:45:23.2045955Z Test observers with ignored function and make sure it works in ... ok (1.148s) 2022-11-23T01:45:23.2046559Z test_single_linear (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-11-23T01:45:23.2046639Z warnings.warn( 2022-11-23T01:45:23.2046703Z ok (3.951s) 2022-11-23T01:45:23.2046880Z test_single_linear_dynamic (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.142s) 2022-11-23T01:45:23.2047031Z test_skip_quant (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (5.599s) 2022-11-23T01:45:23.2047199Z test_cat_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.081s) 2022-11-23T01:45:23.2047361Z test_clamp (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.315s) 2022-11-23T01:45:23.2047547Z test_conv_with_benchmark_flag (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.293s) 2022-11-23T01:45:23.2047713Z test_dequantize_tuple (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2047843Z Make sure dequantize can support Tuple of tensor ... ok (1.347s) 2022-11-23T01:45:23.2048001Z test_elu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (16.098s) 2022-11-23T01:45:23.2048168Z test_general_shape_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2048293Z A test that checks dequantize will be swapped for ... ok (0.123s) 2022-11-23T01:45:23.2048441Z test_general_value_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2048574Z A test that checks correct patterns are produced for ... ok (0.348s) 2022-11-23T01:45:23.2048741Z test_group_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (12.339s) 2022-11-23T01:45:23.2048909Z test_hardswish (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.906s) 2022-11-23T01:45:23.2049216Z test_instance_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2049432Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2049640Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2049841Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2050102Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2050311Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2050501Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2050743Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2050949Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2051153Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2051356Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2051554Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2051754Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2051960Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2052161Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2052361Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2052568Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2052773Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2052962Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2053168Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2053370Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2053569Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2053770Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2053973Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:45:23.2054041Z ok (12.586s) 2022-11-23T01:45:23.2054209Z test_layer_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (12.543s) 2022-11-23T01:45:23.2054372Z test_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (14.937s) 2022-11-23T01:45:23.2054570Z test_qbatch_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.766s) 2022-11-23T01:45:23.2054757Z test_qbatch_norm_relu_BNFuncInplaceRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.790s) 2022-11-23T01:45:23.2054944Z test_qbatch_norm_relu_BNFuncRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.835s) 2022-11-23T01:45:23.2055126Z test_qbatch_norm_relu_BNRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.655s) 2022-11-23T01:45:23.2055326Z test_quantized_add (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.567s) 2022-11-23T01:45:23.2055491Z test_quantized_add_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2055626Z Test quant fusion for multiple aten::add using same ... ok (1.766s) 2022-11-23T01:45:23.2055818Z test_quantized_add_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.934s) 2022-11-23T01:45:23.2055991Z test_quantized_add_relu_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2056124Z Test quant fusion for multiple aten::add using same ... ok (18.856s) 2022-11-23T01:45:23.2056290Z test_quantized_add_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (2.723s) 2022-11-23T01:45:23.2056475Z test_quantized_add_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (6.103s) 2022-11-23T01:45:23.2056636Z test_quantized_cat (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2056773Z quantization of the output of cat will be depend on the ... ok (1.729s) 2022-11-23T01:45:23.2056942Z test_quantized_conv (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (3.436s) 2022-11-23T01:45:23.2057103Z test_quantized_conv_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:45:23.2057224Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (14.088s) 2022-11-23T01:45:23.2057393Z test_quantized_mul (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.837s) 2022-11-23T01:45:23.2057555Z test_quantized_mul_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (9.215s) 2022-11-23T01:45:23.2057735Z test_quantized_mul_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.782s) 2022-11-23T01:45:23.2057917Z test_quantized_mul_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.771s) 2022-11-23T01:45:23.2058091Z test_conv_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.099s) 2022-11-23T01:45:23.2058276Z test_convtranspose_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.054s) 2022-11-23T01:45:23.2058458Z test_dedup_module_uses (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.007s) 2022-11-23T01:45:23.2058633Z test_finalize_debug (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.079s) 2022-11-23T01:45:23.2058818Z test_finalize_for_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.077s) 2022-11-23T01:45:23.2059001Z test_foldbn_complex_cases (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.780s) 2022-11-23T01:45:23.2059168Z test_foldbn_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.113s) 2022-11-23T01:45:23.2059335Z test_foldbn_no_fusion (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2059676Z Test that we don't fuse the cases when module type does not match ... ok (0.007s) 2022-11-23T01:45:23.2059867Z test_foldbn_shared_classtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.536s) 2022-11-23T01:45:23.2060044Z test_foldbn_trivial (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.055s) 2022-11-23T01:45:23.2060229Z test_foldbn_trivial_nobias (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.055s) 2022-11-23T01:45:23.2060439Z test_fuse_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.039s) 2022-11-23T01:45:23.2060618Z test_inplace_option (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.173s) 2022-11-23T01:45:23.2060798Z test_insert_observers (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.031s) 2022-11-23T01:45:23.2060982Z test_insert_observers_child_qconfig (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.037s) 2022-11-23T01:45:23.2061203Z test_insert_observers_for_general_ops (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2061405Z Make sure we skip observers for ops that doesn't require ... ok (0.031s) 2022-11-23T01:45:23.2061591Z test_insert_observers_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.106s) 2022-11-23T01:45:23.2061792Z test_insert_observers_for_if_consistent_observation (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2061913Z check quantization for if works as long as ... ok (0.276s) 2022-11-23T01:45:23.2062106Z test_insert_observers_for_nested_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.106s) 2022-11-23T01:45:23.2062314Z test_insert_observers_for_reused_weight (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.026s) 2022-11-23T01:45:23.2062491Z test_insert_observers_interface (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.076s) 2022-11-23T01:45:23.2062700Z test_insert_observers_interface_unshare_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.279s) 2022-11-23T01:45:23.2062892Z test_insert_observers_propagate_observed (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2063038Z Make sure we propagate observed property through general ops ... ok (0.037s) 2022-11-23T01:45:23.2063258Z test_insert_observers_propagate_observed_for_function (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.045s) 2022-11-23T01:45:23.2063466Z test_insert_observers_propagate_observed_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2063614Z Make sure we propagate observed property through general ops ... ok (0.040s) 2022-11-23T01:45:23.2063815Z test_insert_observers_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.035s) 2022-11-23T01:45:23.2064006Z test_insert_observers_skip_values (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.126s) 2022-11-23T01:45:23.2064190Z test_insert_observers_weight_dtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.031s) 2022-11-23T01:45:23.2064376Z test_insert_quant_dequant (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.158s) 2022-11-23T01:45:23.2064581Z test_insert_quant_dequant_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.182s) 2022-11-23T01:45:23.2064766Z test_interface_with_fork (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.088s) 2022-11-23T01:45:23.2064936Z test_module_list (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.093s) 2022-11-23T01:45:23.2065105Z test_quantize_fork_wait (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2065360Z Tests the case where fork and wait calls are in different subgraphs ... [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:45:23.2065431Z ok (0.076s) 2022-11-23T01:45:23.2065627Z test_replicate_dequant_same_value (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.080s) 2022-11-23T01:45:23.2065801Z test_replicate_dequantize (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s) 2022-11-23T01:45:23.2065996Z test_replicate_dequantize_in_block (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s) 2022-11-23T01:45:23.2066218Z test_replicate_quantize_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:45:23.2066463Z We want to move quantize nodes for output of prim::If ... [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:45:23.2066651Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:45:23.2066832Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:45:23.2067056Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:45:23.2067123Z ok (0.094s) 2022-11-23T01:45:23.2067319Z test_skip_dequant_constant_prop (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.087s) 2022-11-23T01:45:23.2067496Z test_swap_functional_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.007s) 2022-11-23T01:45:23.2067735Z test_benchmark (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: used for local benchmarking, comment when we want to run it (0.002s) 2022-11-23T01:45:23.2067903Z test_qconv1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.432s) 2022-11-23T01:45:23.2068099Z test_qconv1d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.006s) 2022-11-23T01:45:23.2068269Z test_qconv1d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.571s) 2022-11-23T01:45:23.2068432Z test_qconv2d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (5.324s) 2022-11-23T01:45:23.2068630Z test_qconv2d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.006s) 2022-11-23T01:45:23.2068805Z test_qconv2d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.768s) 2022-11-23T01:45:23.2068976Z test_qconv3d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.331s) 2022-11-23T01:45:23.2069139Z test_qconv3d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.525s) 2022-11-23T01:45:23.2069315Z test_qconv_transpose1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.822s) 2022-11-23T01:45:23.2069590Z test_qconv_transpose2d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:45:23.2069871Z test_qconv_transpose3d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.003s) 2022-11-23T01:45:23.2070058Z test_embedding (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.135s) 2022-11-23T01:45:23.2070244Z test_embedding_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) 2022-11-23T01:45:23.2070386Z Tests the case where 2D indices are passed into the operator ... ok (0.002s) 2022-11-23T01:45:23.2070582Z test_embedding_bag_2bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.153s) 2022-11-23T01:45:23.2070806Z test_embedding_bag_2bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.000s) 2022-11-23T01:45:23.2070994Z test_embedding_bag_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) 2022-11-23T01:45:23.2071125Z Tests the case where 2D indices are passed into the operator ... ok (0.003s) 2022-11-23T01:45:23.2071319Z test_embedding_bag_4bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.127s) 2022-11-23T01:45:23.2071541Z test_embedding_bag_4bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.000s) 2022-11-23T01:45:23.2071732Z test_embedding_bag_byte (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.134s) 2022-11-23T01:45:23.2071983Z test_embedding_bag_byte_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.000s) 2022-11-23T01:45:23.2072193Z test_conv1d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.186s) 2022-11-23T01:45:23.2072401Z test_conv2d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.201s) 2022-11-23T01:45:23.2072608Z test_conv3d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.146s) 2022-11-23T01:45:23.2073373Z test_grid_sample (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. 2022-11-23T01:45:23.2073450Z warnings.warn( 2022-11-23T01:45:23.2073506Z ok (0.060s) 2022-11-23T01:45:23.2073713Z test_relu_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.002s) 2022-11-23T01:45:23.2073884Z test_qlinear (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (1.092s) 2022-11-23T01:45:23.2074090Z test_qlinear_cudnn (quantization.core.test_quantized_op.TestQuantizedLinear) ... skip: cudnn is not enabled. (0.006s) 2022-11-23T01:45:23.2074265Z test_qlinear_unpack (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (0.205s) 2022-11-23T01:45:23.2074442Z test_adaptive_avg_pool (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.645s) 2022-11-23T01:45:23.2074624Z test_adaptive_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.079s) 2022-11-23T01:45:23.2074807Z test_adaptive_avg_pool3d_ndhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.075s) 2022-11-23T01:45:23.2074969Z test_add_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.204s) 2022-11-23T01:45:23.2075132Z test_advanced_indexing (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2075273Z Verifies that the x[:, [0], :, :] syntax works for quantized tensors. ... ok (0.006s) 2022-11-23T01:45:23.2075427Z test_avg_pool2d (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2075606Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.091s) 2022-11-23T01:45:23.2075765Z test_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2075946Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.170s) 2022-11-23T01:45:23.2076098Z test_avg_pool3d (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2076278Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (5.001s) 2022-11-23T01:45:23.2076424Z test_avg_pool3d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2076605Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (7.351s) 2022-11-23T01:45:23.2076768Z test_batch_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.619s) 2022-11-23T01:45:23.2076936Z test_batch_norm_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.549s) 2022-11-23T01:45:23.2077095Z test_cat (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.383s) 2022-11-23T01:45:23.2077259Z test_cat_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.284s) 2022-11-23T01:45:23.2077426Z test_channel_shuffle (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.827s) 2022-11-23T01:45:23.2077598Z test_custom_module_lstm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (35.509s) 2022-11-23T01:45:23.2078220Z test_custom_module_multi_head_attention (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:1204: UserWarning: must run observer before calling calculate_qparams. Returning default scale and zero point 2022-11-23T01:45:23.2078284Z warnings.warn( 2022-11-23T01:45:23.2078353Z ok (10.087s) 2022-11-23T01:45:23.2078860Z test_empty_batch (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:45:23.2079186Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:45:23.2079261Z ok (0.010s) 2022-11-23T01:45:23.2079420Z test_equal (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.190s) 2022-11-23T01:45:23.2079584Z test_group_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (6.203s) 2022-11-23T01:45:23.2079752Z test_hardswish (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.423s) 2022-11-23T01:45:23.2079915Z test_hardtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.680s) 2022-11-23T01:45:23.2080069Z test_instance_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.432s) 2022-11-23T01:45:23.2080222Z test_interpolate (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2080366Z This test cover upsample_nearest2d and upsample_bilinear2d ... ok (3.081s) 2022-11-23T01:45:23.2080522Z test_interpolate3d (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:45:23.2080634Z This test cover upsample_nearest3d ... ok (16.608s) 2022-11-23T01:45:23.2080798Z test_leaky_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.021s) 2022-11-23T01:45:23.2080983Z test_leaky_relu_observed_output (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.552s) 2022-11-23T01:45:23.2081158Z test_linear_bias_unpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.003s) 2022-11-23T01:45:23.2081305Z test_max_pool1d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.242s) 2022-11-23T01:45:23.2081467Z test_max_pool2d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.574s) 2022-11-23T01:45:23.2081667Z test_max_pool2d_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.005s) 2022-11-23T01:45:23.2081841Z test_max_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.537s) 2022-11-23T01:45:23.2082000Z test_mean (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.392s) 2022-11-23T01:45:23.2082209Z test_mul_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.242s) 2022-11-23T01:45:23.2082770Z test_qadd_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 4, 4], which does not match the required output shape [2, 1, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-11-23T01:45:23.2082840Z ok (0.002s) 2022-11-23T01:45:23.2083040Z test_qadd_relu_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s) 2022-11-23T01:45:23.2083244Z test_qadd_relu_cudnn_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s) 2022-11-23T01:45:23.2083418Z test_qadd_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s) 2022-11-23T01:45:23.2083599Z test_qadd_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s) 2022-11-23T01:45:23.2083798Z test_qcelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.135s) 2022-11-23T01:45:23.2083963Z test_qclamp (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.826s) 2022-11-23T01:45:23.2084123Z test_qelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.166s) 2022-11-23T01:45:23.2084281Z test_qgelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.045s) 2022-11-23T01:45:23.2084450Z test_qhardsigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.373s) 2022-11-23T01:45:23.2084650Z test_qlayer_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.091s) 2022-11-23T01:45:23.2084952Z test_qmatmul (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.191s) 2022-11-23T01:45:23.2085156Z test_qmul_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.002s) 2022-11-23T01:45:23.2085342Z test_qmul_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s) 2022-11-23T01:45:23.2085524Z test_qmul_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.421s) 2022-11-23T01:45:23.2085685Z test_qprelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.046s) 2022-11-23T01:45:23.2085840Z test_qrelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.794s) 2022-11-23T01:45:23.2085997Z test_qrelu6 (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.230s) 2022-11-23T01:45:23.2086161Z test_qsoftmax (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.151s) 2022-11-23T01:45:23.2086334Z test_qsoftmax_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.169s) 2022-11-23T01:45:23.2086583Z test_qtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.005s) 2022-11-23T01:45:23.2086750Z test_qthreshold (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.155s) 2022-11-23T01:45:23.2087185Z test_qtopk (quantization.core.test_quantized_op.TestQuantizedOps) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_op.py:2000: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:45:23.2087280Z indices = torch.tensor(X).long() 2022-11-23T01:45:23.2087349Z ok (0.079s) 2022-11-23T01:45:23.2087531Z test_quantized_mean_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.012s) 2022-11-23T01:45:23.2087692Z test_sigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.181s) 2022-11-23T01:45:23.2087870Z test_sigmoid_non_observed (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.754s) 2022-11-23T01:45:23.2088026Z test_std (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.586s) 2022-11-23T01:45:23.2088199Z test_bfp16_quantize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2088486Z test_choose_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:45:23.2088682Z test_choose_qparams_optimized (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s) 2022-11-23T01:45:23.2088856Z test_clone (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2089092Z test_compare_per_channel_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s) 2022-11-23T01:45:23.2089325Z test_compare_per_tensor_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s) 2022-11-23T01:45:23.2089618Z test_cuda_quantization_does_not_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.000s) 2022-11-23T01:45:23.2089826Z test_decomposed_dequantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2090027Z test_decomposed_dynamic_quant_pattern (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2090234Z test_decomposed_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2090471Z test_decomposed_quantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2090647Z test_dequantize_fp16_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2090861Z test_dequantize_fp16_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:45:23.2091266Z test_fp16_saturate_op (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:1393: UserWarning: FOUND weight out of range (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/QuantUtils.h:215.) 2022-11-23T01:45:23.2091364Z y = torch._saturate_weight_to_fp16(x) 2022-11-23T01:45:23.2091430Z ok (0.001s) 2022-11-23T01:45:23.2091619Z test_jit_serialization (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s) 2022-11-23T01:45:23.2091824Z test_per_channel_qtensor_creation_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2092056Z test_per_channel_qtensor_creation_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:45:23.2092260Z test_per_channel_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2092467Z test_per_channel_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s) 2022-11-23T01:45:23.2092670Z test_per_tensor_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2092885Z test_per_tensor_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s) 2022-11-23T01:45:23.2093566Z test_pickle_checkpoint_qtensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:45:23.2093668Z warnings.warn(message, UserWarning) 2022-11-23T01:45:23.2093733Z ok (0.006s) 2022-11-23T01:45:23.2093918Z test_qscheme_pickle (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:45:23.2094121Z test_qtensor_channel_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.081s) 2022-11-23T01:45:23.2094300Z test_qtensor_copy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.016s) 2022-11-23T01:45:23.2094480Z test_qtensor_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s) 2022-11-23T01:45:23.2094652Z test_qtensor_creation (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:45:23.2094862Z test_qtensor_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:45:23.2095049Z test_qtensor_dtypes (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2095240Z test_qtensor_fill_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:45:23.2095471Z test_qtensor_fill_per_channel_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.010s) 2022-11-23T01:45:23.2095667Z test_qtensor_fill_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:45:23.2095860Z test_qtensor_fill_per_tensor_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.010s) 2022-11-23T01:45:23.2096051Z test_qtensor_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s) 2022-11-23T01:45:23.2096272Z test_qtensor_index_put_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.011s) 2022-11-23T01:45:23.2096479Z test_qtensor_index_put_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:45:23.2096672Z test_qtensor_index_select_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2096893Z test_qtensor_index_select_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:45:23.2097075Z test_qtensor_int_repr (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2097269Z test_qtensor_legacy_new_failure (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.007s) 2022-11-23T01:45:23.2097453Z test_qtensor_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s) 2022-11-23T01:45:23.2097646Z test_qtensor_masked_fill_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s) 2022-11-23T01:45:23.2097863Z test_qtensor_masked_fill_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:45:23.2098061Z test_qtensor_per_channel_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.007s) 2022-11-23T01:45:23.2098259Z test_qtensor_per_channel_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.011s) 2022-11-23T01:45:23.2098430Z test_qtensor_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s) 2022-11-23T01:45:23.2098622Z test_qtensor_quant_dequant (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:45:23.2098822Z test_qtensor_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.527s) 2022-11-23T01:45:23.2099007Z test_qtensor_reshape (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:45:23.2099431Z test_qtensor_resize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:746: UserWarning: non-inplace resize is deprecated 2022-11-23T01:45:23.2099597Z warnings.warn("non-inplace resize is deprecated") 2022-11-23T01:45:23.2099663Z ok (0.003s) 2022-11-23T01:45:23.2099863Z test_qtensor_sub_byte_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.006s) 2022-11-23T01:45:23.2100063Z test_qtensor_sub_byte_not_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:45:23.2100236Z test_qtensor_unsqueeze (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.014s) 2022-11-23T01:45:23.2100416Z test_qtensor_view (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s) 2022-11-23T01:45:23.2100629Z test_quant_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.000s) 2022-11-23T01:45:23.2100835Z test_quantize_per_channel_float_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.547s) 2022-11-23T01:45:23.2101022Z test_quantize_per_channel_sub_byte (quantization.core.test_quantized_tensor.TestQuantizedTensor) 2022-11-23T01:45:23.2101227Z Tests the per channel quantization scheme for 4-bit qtensors. ... ok (0.023s) 2022-11-23T01:45:23.2101452Z test_repeat (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:45:23.2101648Z test_torch_qtensor_deepcopy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:45:23.2101857Z test_observer_scriptable (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.015s) 2022-11-23T01:45:23.2102082Z test_record_observer (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.008s) 2022-11-23T01:45:23.2102296Z test_rnn (quantization.core.test_quantized_module.TestReferenceQuantizedModule) 2022-11-23T01:45:23.2102442Z Checks the rnn reference quantized modules has correct numerics ... ok (0.012s) 2022-11-23T01:45:23.2102625Z test_rnn_cell (quantization.core.test_quantized_module.TestReferenceQuantizedModule) 2022-11-23T01:45:23.2102776Z Checks the rnn cell reference quantized modules has correct numerics ... ok (0.007s) 2022-11-23T01:45:23.2102959Z test_sparse (quantization.core.test_quantized_module.TestReferenceQuantizedModule) 2022-11-23T01:45:23.2103063Z Embedding and EmbeddingBag ... ok (0.004s) 2022-11-23T01:45:23.2103248Z test_conv2d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.060s) 2022-11-23T01:45:23.2103424Z test_conv2d_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.021s) 2022-11-23T01:45:23.2103615Z test_conv2d_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.020s) 2022-11-23T01:45:23.2103804Z test_conv2d_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.020s) 2022-11-23T01:45:23.2103993Z test_conv2d_nobias (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.046s) 2022-11-23T01:45:23.2104187Z test_conv2d_nobias_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.021s) 2022-11-23T01:45:23.2104385Z test_conv2d_nobias_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.020s) 2022-11-23T01:45:23.2104580Z test_conv2d_nobias_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.021s) 2022-11-23T01:45:23.2104767Z test_conv2d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.050s) 2022-11-23T01:45:23.2104945Z test_conv3d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s) 2022-11-23T01:45:23.2105121Z test_conv3d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s) 2022-11-23T01:45:23.2105319Z test_default_qat_qconfig (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.011s) 2022-11-23T01:45:23.2105497Z test_linear (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.041s) 2022-11-23T01:45:23.2105688Z test_linear_dynamic (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.061s) 2022-11-23T01:45:23.2105875Z test_linear_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.041s) 2022-11-23T01:45:23.2106562Z test_linear_relu_package_quantization_transforms (quantization.bc.test_backward_compatibility.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1482: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:45:23.2106638Z warnings.warn( 2022-11-23T01:45:23.2107143Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node child_packed_weight_0 target child_packed_weight_0 child_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.2107356Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.2107870Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:45:23.2108080Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:45:23.2108135Z ok (0.302s) 2022-11-23T01:45:23.2108319Z test_lstm (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.035s) 2022-11-23T01:45:23.2108518Z test_per_channel_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.005s) 2022-11-23T01:45:23.2108756Z test_per_tensor_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.003s) 2022-11-23T01:45:23.2108939Z test_batch_norm2d (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2109068Z Tests the correctness of the batchnorm2d module. ... ok (0.002s) 2022-11-23T01:45:23.2109620Z test_batch_norm2d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:45:23.2109694Z warnings.warn( 2022-11-23T01:45:23.2109747Z ok (0.008s) 2022-11-23T01:45:23.2109929Z test_batch_norm3d (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2110056Z Tests the correctness of the batchnorm3d module. ... ok (0.002s) 2022-11-23T01:45:23.2110272Z test_batch_norm3d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.007s) 2022-11-23T01:45:23.2110456Z test_channel_shuffle (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2110590Z Tests the correctness of the ChannelShuffle module. ... ok (0.004s) 2022-11-23T01:45:23.2110784Z test_conv1d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.417s) 2022-11-23T01:45:23.2110978Z test_conv2d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.403s) 2022-11-23T01:45:23.2111150Z test_conv3d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.433s) 2022-11-23T01:45:23.2111329Z test_dropout (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2111452Z Tests the correctness of the dropout module. ... ok (0.002s) 2022-11-23T01:45:23.2111659Z test_dropout_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.005s) 2022-11-23T01:45:23.2111833Z test_elu (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2111950Z Tests the correctness of the ELU module. ... ok (0.002s) 2022-11-23T01:45:23.2112147Z test_embedding_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.526s) 2022-11-23T01:45:23.2112338Z test_embedding_bag_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2112512Z Test execution and serialization for dynamic quantized embedding_bag modules on int8 ... ok (3.695s) 2022-11-23T01:45:23.2112712Z test_group_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2112897Z Tests the correctness of the groupnorm module. ... ok (0.003s) 2022-11-23T01:45:23.2113083Z test_instance_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2113218Z Tests the correctness of the instancenorm{n}d modules. ... ok (0.007s) 2022-11-23T01:45:23.2113397Z test_layer_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2113520Z Tests the correctness of the layernorm module. ... ok (0.003s) 2022-11-23T01:45:23.2113714Z test_leaky_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:45:23.2113906Z test_linear_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (26.630s) 2022-11-23T01:45:23.2114111Z test_pool_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:45:23.2114231Z Tests the correctness of the pool module. ... ok (0.013s) 2022-11-23T01:45:23.2114420Z test_prelu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:45:23.2114624Z test_quant_dequant_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:45:23.2114807Z test_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:45:23.2115031Z test_sigmoid (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:45:23.2115239Z test_subgraph_rewriter_annotations_int (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (5.088s) 2022-11-23T01:45:23.2115462Z test_subgraph_rewriter_correct_output_replacement (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.441s) 2022-11-23T01:45:23.2115679Z test_subgraph_rewriter_graph_argument_order (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.050s) 2022-11-23T01:45:23.2115920Z test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.041s) 2022-11-23T01:45:23.2116134Z test_subgraph_rewriter_multiple_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.051s) 2022-11-23T01:45:23.2116351Z test_subgraph_rewriter_pattern_is_entire_graph (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.052s) 2022-11-23T01:45:23.2116603Z test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.050s) 2022-11-23T01:45:23.2116809Z test_subgraph_rewriter_placeholder_matching (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) 2022-11-23T01:45:23.2116959Z This tests that a placeholder Node can be matched to a Node with ... ok (0.052s) 2022-11-23T01:45:23.2117168Z test_subgraph_rewriter_preserves_logic (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.054s) 2022-11-23T01:45:23.2117394Z test_subgraph_rewriter_replaces_referenced_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s) 2022-11-23T01:45:23.2117606Z test_subgraph_rewriter_single_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.051s) 2022-11-23T01:45:23.2117816Z test_subgraph_rewriter_traced_as_callable (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.056s) 2022-11-23T01:45:23.2118015Z test_subgraph_rewriter_with_oneliner_pattern (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.051s) 2022-11-23T01:45:23.2118241Z test_subgraph_writer_replace_consecutive_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.051s) 2022-11-23T01:45:23.2118409Z test_get_fqn_to_example_inputs_complex_args (quantization.core.test_utils.TestUtils) 2022-11-23T01:45:23.2118560Z Test that we can record complex example inputs such as lists and dicts ... ok (0.009s) 2022-11-23T01:45:23.2118728Z test_get_fqn_to_example_inputs_default_kwargs (quantization.core.test_utils.TestUtils) 2022-11-23T01:45:23.2118892Z Test that we can get example inputs for functions with default keyword arguments ... ok (0.008s) 2022-11-23T01:45:23.2119142Z test_get_fqn_to_example_inputs_simple (quantization.core.test_utils.TestUtils) ... ok (0.007s) 2022-11-23T01:45:23.2119311Z test_quantize_weight_clamping_per_channel (quantization.core.test_utils.TestUtils) 2022-11-23T01:45:23.2119480Z Test quant_{min, max} from per channel observer is honored by `_quantize_weight` method ... ok (0.002s) 2022-11-23T01:45:23.2119629Z test_quantize_weight_clamping_per_tensor (quantization.core.test_utils.TestUtils) 2022-11-23T01:45:23.2119792Z Test quant_{min, max} from per tensor observer is honored by `_quantize_weight` method ... ok (0.002s) 2022-11-23T01:45:23.2119842Z 2022-11-23T01:45:23.2120056Z ---------------------------------------------------------------------- 2022-11-23T01:45:23.2120138Z Ran 977 tests in 693.711s 2022-11-23T01:45:23.2120144Z 2022-11-23T01:45:23.2120217Z OK (skipped=62) 2022-11-23T01:45:23.2120221Z 2022-11-23T01:45:23.2120304Z Generating XML reports... 2022-11-23T01:45:23.2120721Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic-20221123013348.xml 2022-11-23T01:45:23.2121152Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized-20221123013348.xml 2022-11-23T01:45:23.2121577Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization.TestAOMigrationQuantization-20221123013348.xml 2022-11-23T01:45:23.2121980Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx-20221123013348.xml 2022-11-23T01:45:23.2122346Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_backend_config.TestBackendConfig-20221123013348.xml 2022-11-23T01:45:23.2122742Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager-20221123013348.xml 2022-11-23T01:45:23.2123103Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestComparatorOps-20221123013348.xml 2022-11-23T01:45:23.2123597Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized-20221123013348.xml 2022-11-23T01:45:23.2123964Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestDistributed-20221123013348.xml 2022-11-23T01:45:23.2124365Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestDynamicQuantizedModule-20221123013348.xml 2022-11-23T01:45:23.2124848Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestDynamicQuantizedOps-20221123013348.xml 2022-11-23T01:45:23.2125275Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_equalize_eager.TestEqualizeEager-20221123013348.xml 2022-11-23T01:45:23.2125619Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_equalize_fx.TestEqualizeFx-20221123013348.xml 2022-11-23T01:45:23.2125978Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher-20221123013348.xml 2022-11-23T01:45:23.2126359Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels-20221123013348.xml 2022-11-23T01:45:23.2126732Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs-20221123013348.xml 2022-11-23T01:45:23.2127136Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels-20221123013348.xml 2022-11-23T01:45:23.2127520Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows-20221123013348.xml 2022-11-23T01:45:23.2127883Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFakeQuantize-20221123013348.xml 2022-11-23T01:45:23.2128241Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFakeQuantizeOps-20221123013348.xml 2022-11-23T01:45:23.2128664Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_fuse_eager.TestFuseEager-20221123013348.xml 2022-11-23T01:45:23.2128995Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestFuseFx-20221123013348.xml 2022-11-23T01:45:23.2129365Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFusedObsFakeQuant-20221123013348.xml 2022-11-23T01:45:23.2129808Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFusedObsFakeQuantModule-20221123013348.xml 2022-11-23T01:45:23.2130166Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_fusion_passes.TestFusionPasses-20221123013348.xml 2022-11-23T01:45:23.2130582Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization-20221123013348.xml 2022-11-23T01:45:23.2130930Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectOutliers-20221123013348.xml 2022-11-23T01:45:23.2131305Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportClass-20221123013348.xml 2022-11-23T01:45:23.2131722Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic-20221123013348.xml 2022-11-23T01:45:23.2132105Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetector-20221123013348.xml 2022-11-23T01:45:23.2132484Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportObserver-20221123013348.xml 2022-11-23T01:45:23.2132870Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportVisualizer-20221123013348.xml 2022-11-23T01:45:23.2133252Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestHistogramObserver-20221123013348.xml 2022-11-23T01:45:23.2133640Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_model_numerics.TestModelNumericsEager-20221123013348.xml 2022-11-23T01:45:23.2134027Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager-20221123013348.xml 2022-11-23T01:45:23.2134384Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestObserver-20221123013348.xml 2022-11-23T01:45:23.2134729Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestPadding-20221123013348.xml 2022-11-23T01:45:23.2135081Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQNNPackOps-20221123013348.xml 2022-11-23T01:45:23.2135420Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_docs.TestQuantizationDocs-20221123013348.xml 2022-11-23T01:45:23.2135798Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps-20221123013348.xml 2022-11-23T01:45:23.2136190Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses-20221123013348.xml 2022-11-23T01:45:23.2136575Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps-20221123013348.xml 2022-11-23T01:45:23.2137017Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic-20221123013348.xml 2022-11-23T01:45:23.2137415Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic-20221123013348.xml 2022-11-23T01:45:23.2137789Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT-20221123013348.xml 2022-11-23T01:45:23.2138226Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics-20221123013348.xml 2022-11-23T01:45:23.2138564Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFx-20221123013348.xml 2022-11-23T01:45:23.2138919Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxModels-20221123013348.xml 2022-11-23T01:45:23.2139271Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxOps-20221123013348.xml 2022-11-23T01:45:23.2139605Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJit-20221123013348.xml 2022-11-23T01:45:23.2139961Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitOps-20221123013348.xml 2022-11-23T01:45:23.2140326Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitPasses-20221123013348.xml 2022-11-23T01:45:23.2140679Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedConv-20221123013348.xml 2022-11-23T01:45:23.2141065Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedEmbeddingOps-20221123013348.xml 2022-11-23T01:45:23.2141479Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_functional.TestQuantizedFunctionalOps-20221123013348.xml 2022-11-23T01:45:23.2141841Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedLinear-20221123013348.xml 2022-11-23T01:45:23.2142190Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedOps-20221123013348.xml 2022-11-23T01:45:23.2142563Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_tensor.TestQuantizedTensor-20221123013348.xml 2022-11-23T01:45:23.2142961Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestRecordHistogramObserver-20221123013348.xml 2022-11-23T01:45:23.2143369Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestReferenceQuantizedModule-20221123013348.xml 2022-11-23T01:45:23.2143753Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.bc.test_backward_compatibility.TestSerialization-20221123013348.xml 2022-11-23T01:45:23.2144129Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestStaticQuantizedModule-20221123013348.xml 2022-11-23T01:45:23.2144510Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter-20221123013348.xml 2022-11-23T01:45:23.2144834Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_utils.TestUtils-20221123013348.xml 2022-11-23T01:45:23.2144841Z 2022-11-23T01:45:23.2145258Z ##[endgroup] 2022-11-23T01:45:23.2145556Z FINISHED PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_cbw0sq14) 2022-11-23T01:45:23.2145562Z 2022-11-23T01:45:23.5289426Z Running distributions/test_distributions ... [2022-11-23 01:45:23.528556] 2022-11-23T01:45:23.5290978Z Executing ['/opt/conda/bin/python', '-bb', 'distributions/test_distributions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:45:23.528912] 2022-11-23T01:46:07.4049281Z 2022-11-23T01:46:07.4050053Z Expand the folded group to see the log file of distributions/test_distributions 2022-11-23T01:46:07.4052588Z ##[group]PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_fwwet4pg) 2022-11-23T01:46:07.4052879Z 2022-11-23T01:46:07.4052978Z Running tests... 2022-11-23T01:46:07.4053509Z ---------------------------------------------------------------------- 2022-11-23T01:46:07.4054214Z Test results will be stored in test-reports/python-unittest/distributions.test_distributions 2022-11-23T01:46:07.4055381Z test_cdf (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-11-23T01:46:07.4056287Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-11-23T01:46:07.4056990Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4057561Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4057935Z ok (0.055s) 2022-11-23T01:46:07.4058301Z test_icdf (__main__.TestAgainstScipy) ... ok (0.024s) 2022-11-23T01:46:07.4058733Z test_mean (__main__.TestAgainstScipy) ... ok (1.194s) 2022-11-23T01:46:07.4060325Z test_variance_stddev (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-11-23T01:46:07.4061037Z return torch.as_tensor(tensor_like) 2022-11-23T01:46:07.4061242Z ok (0.035s) 2022-11-23T01:46:07.4061471Z test_params_constraints (__main__.TestConstraints) ... ok (0.055s) 2022-11-23T01:46:07.4061751Z test_support_constraints (__main__.TestConstraints) ... ok (0.073s) 2022-11-23T01:46:07.4062062Z test_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4062396Z test_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4062712Z test_beta_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4063033Z test_beta_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4063344Z test_binomial_shape (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4063782Z test_binomial_shape_vectorized_n (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4064218Z test_categorical_shape (__main__.TestDistributionShapes) ... ok (0.003s) 2022-11-23T01:46:07.4064739Z test_cauchy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4065074Z test_cauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4065384Z test_chi2_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4065698Z test_chi2_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4066117Z test_continuous_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4066627Z test_continuous_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s) 2022-11-23T01:46:07.4066952Z test_dirichlet_shape (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4067259Z test_entropy_shape (__main__.TestDistributionShapes) ... ok (0.022s) 2022-11-23T01:46:07.4067577Z test_exponential_shape_scalar_param (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4067902Z test_exponential_shape_tensor_param (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4068315Z test_gamma_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4068660Z test_gamma_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4068989Z test_geometric_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4069306Z test_geometric_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4069642Z test_gumbel_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4069978Z test_halfcauchy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4070317Z test_halfcauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4070673Z test_kumaraswamy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4071043Z test_laplace_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4071386Z test_laplace_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4071754Z test_mixture_same_family_shape (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4072110Z test_multinomial_shape (__main__.TestDistributionShapes) ... ok (0.003s) 2022-11-23T01:46:07.4072519Z test_normal_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4072991Z test_normal_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4073503Z test_one_hot_categorical_shape (__main__.TestDistributionShapes) ... ok (0.005s) 2022-11-23T01:46:07.4073919Z test_pareto_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4074468Z test_studentT_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4075047Z test_studentT_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4075665Z test_uniform_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4076264Z test_uniform_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4076788Z test_vonmises_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4077271Z test_vonmises_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4077871Z test_weibull_scale_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s) 2022-11-23T01:46:07.4078477Z test_wishart_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s) 2022-11-23T01:46:07.4079126Z test_wishart_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.006s) 2022-11-23T01:46:07.4079699Z test_argmax_relaxed_categorical (__main__.TestDistributions) ... ok (0.019s) 2022-11-23T01:46:07.4080236Z test_bernoulli (__main__.TestDistributions) ... ok (0.073s) 2022-11-23T01:46:07.4080642Z test_bernoulli_3d (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4081253Z test_bernoulli_enumerate_support (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4081886Z test_beta_log_prob (__main__.TestDistributions) ... ok (0.062s) 2022-11-23T01:46:07.4082477Z test_beta_sample (__main__.TestDistributions) ... ok (0.374s) 2022-11-23T01:46:07.4083119Z test_beta_shape (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4083695Z test_beta_underflow (__main__.TestDistributions) ... ok (0.034s) 2022-11-23T01:46:07.4084438Z test_beta_underflow_gpu (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-11-23T01:46:07.4085162Z test_binomial (__main__.TestDistributions) ... ok (0.024s) 2022-11-23T01:46:07.4085500Z test_binomial_enumerate_support (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4085846Z test_binomial_extreme_vals (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4086435Z test_binomial_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.058s) 2022-11-23T01:46:07.4087070Z test_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.004s) 2022-11-23T01:46:07.4087526Z test_binomial_sample (__main__.TestDistributions) ... ok (0.055s) 2022-11-23T01:46:07.4087972Z test_binomial_stable (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4088474Z test_binomial_vectorized_count (__main__.TestDistributions) ... ok (0.077s) 2022-11-23T01:46:07.4088995Z test_categorical_1d (__main__.TestDistributions) ... ok (0.005s) 2022-11-23T01:46:07.4089364Z test_categorical_2d (__main__.TestDistributions) ... ok (0.008s) 2022-11-23T01:46:07.4089661Z test_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.001s) 2022-11-23T01:46:07.4089949Z test_cauchy (__main__.TestDistributions) ... ok (0.013s) 2022-11-23T01:46:07.4090582Z test_cdf_icdf_inverse (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4091046Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4091274Z ok (0.201s) 2022-11-23T01:46:07.4091529Z test_cdf_log_prob (__main__.TestDistributions) ... ok (0.084s) 2022-11-23T01:46:07.4091924Z test_chi2_sample (__main__.TestDistributions) ... ok (0.095s) 2022-11-23T01:46:07.4092355Z test_chi2_shape (__main__.TestDistributions) ... ok (0.005s) 2022-11-23T01:46:07.4092818Z test_continuous_bernoulli (__main__.TestDistributions) ... ok (0.014s) 2022-11-23T01:46:07.4093180Z test_continuous_bernoulli_3d (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4093484Z test_dirichlet_log_prob (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4093765Z test_dirichlet_mode (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4094078Z test_dirichlet_sample (__main__.TestDistributions) ... ok (0.039s) 2022-11-23T01:46:07.4094374Z test_dirichlet_shape (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4094935Z test_distribution_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4095311Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4095500Z ok (0.568s) 2022-11-23T01:46:07.4095745Z test_distribution_subclass_expand (__main__.TestDistributions) ... ok (0.146s) 2022-11-23T01:46:07.4096056Z test_enumerate_support_type (__main__.TestDistributions) ... ok (0.027s) 2022-11-23T01:46:07.4096334Z test_exponential (__main__.TestDistributions) ... ok (0.009s) 2022-11-23T01:46:07.4096615Z test_exponential_sample (__main__.TestDistributions) ... ok (0.092s) 2022-11-23T01:46:07.4096901Z test_fishersnedecor (__main__.TestDistributions) ... ok (0.006s) 2022-11-23T01:46:07.4097181Z test_fishersnedecor_sample (__main__.TestDistributions) ... ok (0.828s) 2022-11-23T01:46:07.4097495Z test_gamma_gpu_sample (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-11-23T01:46:07.4097817Z test_gamma_gpu_shape (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-11-23T01:46:07.4098133Z test_gamma_log_prob_at_boundary (__main__.TestDistributions) ... ok (0.004s) 2022-11-23T01:46:07.4098410Z test_gamma_sample (__main__.TestDistributions) ... ok (0.276s) 2022-11-23T01:46:07.4098679Z test_gamma_shape (__main__.TestDistributions) ... ok (0.005s) 2022-11-23T01:46:07.4098945Z test_geometric (__main__.TestDistributions) ... ok (0.006s) 2022-11-23T01:46:07.4099356Z test_geometric_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.012s) 2022-11-23T01:46:07.4099660Z test_geometric_sample (__main__.TestDistributions) ... ok (0.006s) 2022-11-23T01:46:07.4099933Z test_gumbel (__main__.TestDistributions) ... ok (0.005s) 2022-11-23T01:46:07.4100200Z test_gumbel_sample (__main__.TestDistributions) ... ok (0.534s) 2022-11-23T01:46:07.4100456Z test_halfcauchy (__main__.TestDistributions) ... ok (0.010s) 2022-11-23T01:46:07.4100769Z test_halfnormal (__main__.TestDistributions) ... ok (0.009s) 2022-11-23T01:46:07.4101105Z test_halfnormal_logprob (__main__.TestDistributions) ... ok (0.006s) 2022-11-23T01:46:07.4101382Z test_halfnormal_sample (__main__.TestDistributions) ... ok (0.091s) 2022-11-23T01:46:07.4101662Z test_has_examples (__main__.TestDistributions) ... ok (0.001s) 2022-11-23T01:46:07.4102196Z test_independent_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4102572Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4102765Z ok (0.680s) 2022-11-23T01:46:07.4102999Z test_independent_shape (__main__.TestDistributions) ... ok (0.271s) 2022-11-23T01:46:07.4103308Z test_invalid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.034s) 2022-11-23T01:46:07.4103609Z test_kumaraswamy_mean_variance (__main__.TestDistributions) ... ok (0.030s) 2022-11-23T01:46:07.4103906Z test_kumaraswamy_shape (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4104183Z test_laplace (__main__.TestDistributions) ... ok (0.018s) 2022-11-23T01:46:07.4104445Z test_laplace_sample (__main__.TestDistributions) ... ok (0.270s) 2022-11-23T01:46:07.4104731Z test_lazy_property_grad (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4105020Z test_lkj_cholesky_log_prob (__main__.TestDistributions) ... ok (0.012s) 2022-11-23T01:46:07.4105308Z test_logisticnormal (__main__.TestDistributions) ... ok (0.023s) 2022-11-23T01:46:07.4105586Z test_logisticnormal_logprob (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4105885Z test_logisticnormal_sample (__main__.TestDistributions) ... ok (0.310s) 2022-11-23T01:46:07.4106164Z test_lognormal (__main__.TestDistributions) ... ok (0.017s) 2022-11-23T01:46:07.4106428Z test_lognormal_logprob (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4106710Z test_lognormal_sample (__main__.TestDistributions) ... ok (0.273s) 2022-11-23T01:46:07.4107017Z test_lowrank_multivariate_normal_log_prob (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4107333Z test_lowrank_multivariate_normal_moments (__main__.TestDistributions) ... ok (0.037s) 2022-11-23T01:46:07.4107662Z test_lowrank_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4108015Z test_lowrank_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.038s) 2022-11-23T01:46:07.4108337Z test_lowrank_multivariate_normal_shape (__main__.TestDistributions) ... ok (0.048s) 2022-11-23T01:46:07.4108639Z test_mixture_same_family_log_prob (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4108939Z test_mixture_same_family_sample (__main__.TestDistributions) ... ok (0.047s) 2022-11-23T01:46:07.4109237Z test_mixture_same_family_shape (__main__.TestDistributions) ... ok (0.008s) 2022-11-23T01:46:07.4109748Z test_mode (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4110099Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4110305Z ok (0.107s) 2022-11-23T01:46:07.4110528Z test_multinomial_1d (__main__.TestDistributions) ... ok (0.011s) 2022-11-23T01:46:07.4110819Z test_multinomial_1d_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.004s) 2022-11-23T01:46:07.4111116Z test_multinomial_2d (__main__.TestDistributions) ... ok (0.012s) 2022-11-23T01:46:07.4111455Z test_multivariate_normal_log_prob (__main__.TestDistributions) ... ok (0.010s) 2022-11-23T01:46:07.4111769Z test_multivariate_normal_moments (__main__.TestDistributions) ... ok (0.027s) 2022-11-23T01:46:07.4112069Z test_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4112493Z test_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.102s) 2022-11-23T01:46:07.4113010Z test_multivariate_normal_shape (__main__.TestDistributions) ... ok (0.068s) 2022-11-23T01:46:07.4113536Z test_multivariate_normal_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.001s) 2022-11-23T01:46:07.4113994Z test_negative_binomial (__main__.TestDistributions) ... ok (0.019s) 2022-11-23T01:46:07.4114445Z test_negative_binomial_log_prob (__main__.TestDistributions) ... ok (0.054s) 2022-11-23T01:46:07.4114829Z test_negative_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.004s) 2022-11-23T01:46:07.4115121Z test_normal (__main__.TestDistributions) ... ok (0.017s) 2022-11-23T01:46:07.4115390Z test_normal_sample (__main__.TestDistributions) ... ok (0.269s) 2022-11-23T01:46:07.4115675Z test_one_hot_categorical_1d (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4115955Z test_one_hot_categorical_2d (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4116267Z test_one_hot_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4116608Z test_pareto (__main__.TestDistributions) ... ok (0.006s) 2022-11-23T01:46:07.4116874Z test_pareto_sample (__main__.TestDistributions) ... ok (0.273s) 2022-11-23T01:46:07.4117140Z test_poisson_forward_ad (__main__.TestDistributions) ... ok (0.001s) 2022-11-23T01:46:07.4117446Z test_poisson_gpu_sample (__main__.TestDistributions) ... skip: CUDA not found (0.000s) 2022-11-23T01:46:07.4117765Z test_poisson_log_prob (__main__.TestDistributions) ... ok (0.008s) 2022-11-23T01:46:07.4118192Z test_poisson_sample (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4118496Z test_poisson_shape (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4118778Z test_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.016s) 2022-11-23T01:46:07.4119153Z test_relaxed_one_hot_categorical_1d (__main__.TestDistributions) ... ok (0.009s) 2022-11-23T01:46:07.4119525Z test_relaxed_one_hot_categorical_2d (__main__.TestDistributions) ... ok (0.015s) 2022-11-23T01:46:07.4120026Z test_repr (__main__.TestDistributions) ... ok (0.019s) 2022-11-23T01:46:07.4120396Z test_rounded_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.019s) 2022-11-23T01:46:07.4121337Z test_rsample_requires_grad (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4121948Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4122179Z ok (0.017s) 2022-11-23T01:46:07.4122533Z test_sample_detached (__main__.TestDistributions) ... ok (0.019s) 2022-11-23T01:46:07.4122942Z test_studentT (__main__.TestDistributions) ... ok (0.007s) 2022-11-23T01:46:07.4123377Z test_studentT_log_prob (__main__.TestDistributions) ... ok (0.093s) 2022-11-23T01:46:07.4123849Z test_studentT_sample (__main__.TestDistributions) ... ok (1.129s) 2022-11-23T01:46:07.4124366Z test_support_attributes (__main__.TestDistributions) ... ok (0.024s) 2022-11-23T01:46:07.4124686Z test_uniform (__main__.TestDistributions) ... ok (0.012s) 2022-11-23T01:46:07.4125126Z test_valid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.028s) 2022-11-23T01:46:07.4125427Z test_vonmises_logprob (__main__.TestDistributions) ... ok (0.015s) 2022-11-23T01:46:07.4125697Z test_vonmises_sample (__main__.TestDistributions) ... ok (7.062s) 2022-11-23T01:46:07.4126487Z test_wishart_log_prob (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-11-23T01:46:07.4127084Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-11-23T01:46:07.4127559Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4127864Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4128116Z ok (0.077s) 2022-11-23T01:46:07.4128337Z test_wishart_moments (__main__.TestDistributions) ... ok (1.528s) 2022-11-23T01:46:07.4128615Z test_wishart_properties (__main__.TestDistributions) ... ok (0.003s) 2022-11-23T01:46:07.4128900Z test_wishart_sample (__main__.TestDistributions) ... ok (0.294s) 2022-11-23T01:46:07.4129408Z test_wishart_shape (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4129772Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4130166Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4130478Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4130877Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4131179Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4131581Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4131893Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4132286Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4132587Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4132984Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4133293Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4133529Z ok (0.129s) 2022-11-23T01:46:07.4133766Z test_wishart_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.002s) 2022-11-23T01:46:07.4134100Z test_zero_excluded_binomial (__main__.TestDistributions) ... skip: CUDA not found (0.001s) 2022-11-23T01:46:07.4134396Z test_cat_event_dim (__main__.TestFunctors) ... ok (0.001s) 2022-11-23T01:46:07.4134643Z test_cat_transform (__main__.TestFunctors) ... ok (0.003s) 2022-11-23T01:46:07.4134910Z test_cat_transform_non_uniform (__main__.TestFunctors) ... ok (0.003s) 2022-11-23T01:46:07.4135184Z test_stack_transform (__main__.TestFunctors) ... ok (0.003s) 2022-11-23T01:46:07.4135647Z test_cdf (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected. 2022-11-23T01:46:07.4135977Z warnings.warn("Singular sample detected.") 2022-11-23T01:46:07.4136181Z ok (2.529s) 2022-11-23T01:46:07.4136703Z test_entropy (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim. 2022-11-23T01:46:07.4137253Z warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.") 2022-11-23T01:46:07.4137502Z ok (3.433s) 2022-11-23T01:46:07.4137719Z test_enumerate_support (__main__.TestJit) ... ok (0.230s) 2022-11-23T01:46:07.4137960Z test_log_prob (__main__.TestJit) ... ok (5.820s) 2022-11-23T01:46:07.4138175Z test_mean (__main__.TestJit) ... ok (1.543s) 2022-11-23T01:46:07.4138401Z test_rsample (__main__.TestJit) ... ok (0.365s) 2022-11-23T01:46:07.4138629Z test_sample (__main__.TestJit) ... ok (0.506s) 2022-11-23T01:46:07.4138847Z test_variance (__main__.TestJit) ... ok (2.674s) 2022-11-23T01:46:07.4139103Z test_entropy_exponential_family (__main__.TestKL) ... ok (0.039s) 2022-11-23T01:46:07.4139406Z test_entropy_monte_carlo (__main__.TestKL) ... ok (2.749s) 2022-11-23T01:46:07.4139643Z test_kl_edgecases (__main__.TestKL) ... ok (0.012s) 2022-11-23T01:46:07.4139893Z test_kl_exponential_family (__main__.TestKL) ... ok (0.028s) 2022-11-23T01:46:07.4140138Z test_kl_infinite (__main__.TestKL) ... ok (0.016s) 2022-11-23T01:46:07.4140396Z test_kl_lowrank_multivariate_normal (__main__.TestKL) ... ok (0.022s) 2022-11-23T01:46:07.4140766Z test_kl_lowrank_multivariate_normal_batched (__main__.TestKL) ... ok (0.017s) 2022-11-23T01:46:07.4141039Z test_kl_monte_carlo (__main__.TestKL) ... ok (0.721s) 2022-11-23T01:46:07.4141287Z test_kl_multivariate_normal (__main__.TestKL) ... ok (0.030s) 2022-11-23T01:46:07.4141546Z test_kl_multivariate_normal_batched (__main__.TestKL) ... ok (0.015s) 2022-11-23T01:46:07.4141844Z test_kl_multivariate_normal_batched_broadcasted (__main__.TestKL) ... ok (0.014s) 2022-11-23T01:46:07.4142109Z test_kl_shape (__main__.TestKL) ... ok (0.047s) 2022-11-23T01:46:07.4142339Z test_kl_transformed (__main__.TestKL) ... ok (0.011s) 2022-11-23T01:46:07.4142638Z test_lazy_logits_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.004s) 2022-11-23T01:46:07.4142993Z test_lazy_probs_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.002s) 2022-11-23T01:46:07.4143322Z test_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.015s) 2022-11-23T01:46:07.4143636Z test_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.003s) 2022-11-23T01:46:07.4143970Z test_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.003s) 2022-11-23T01:46:07.4156325Z test_categorical_log_prob (__main__.TestNumericalStability) ... ok (0.002s) 2022-11-23T01:46:07.4156756Z test_categorical_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.002s) 2022-11-23T01:46:07.4157092Z test_continuous_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.028s) 2022-11-23T01:46:07.4157453Z test_continuous_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.004s) 2022-11-23T01:46:07.4157817Z test_continuous_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.004s) 2022-11-23T01:46:07.4158152Z test_multinomial_log_prob (__main__.TestNumericalStability) ... ok (0.002s) 2022-11-23T01:46:07.4158464Z test_multinomial_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.003s) 2022-11-23T01:46:07.4158767Z test_beta_wrt_alpha (__main__.TestRsample) ... ok (0.045s) 2022-11-23T01:46:07.4159096Z test_beta_wrt_beta (__main__.TestRsample) ... ok (0.044s) 2022-11-23T01:46:07.4159328Z test_chi2 (__main__.TestRsample) ... ok (0.024s) 2022-11-23T01:46:07.4159590Z test_dirichlet_multivariate (__main__.TestRsample) ... ok (0.512s) 2022-11-23T01:46:07.4159874Z test_dirichlet_on_diagonal (__main__.TestRsample) ... ok (0.055s) 2022-11-23T01:46:07.4160141Z test_dirichlet_tangent_field (__main__.TestRsample) ... ok (0.083s) 2022-11-23T01:46:07.4160400Z test_gamma (__main__.TestRsample) ... ok (0.024s) 2022-11-23T01:46:07.4160649Z test_invalid (__main__.TestValidation) ... ok (0.020s) 2022-11-23T01:46:07.4160920Z test_invalid_log_probs_arg (__main__.TestValidation) ... ok (0.282s) 2022-11-23T01:46:07.4161170Z test_valid (__main__.TestValidation) ... ok (0.013s) 2022-11-23T01:46:07.4161452Z test_warning_unimplemented_constraints (__main__.TestValidation) ... ok (0.007s) 2022-11-23T01:46:07.4161635Z 2022-11-23T01:46:07.4161870Z ---------------------------------------------------------------------- 2022-11-23T01:46:07.4162100Z Ran 219 tests in 41.174s 2022-11-23T01:46:07.4162215Z 2022-11-23T01:46:07.4162288Z OK (skipped=5) 2022-11-23T01:46:07.4162395Z 2022-11-23T01:46:07.4162480Z Generating XML reports... 2022-11-23T01:46:07.4162931Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestAgainstScipy-20221123014525.xml 2022-11-23T01:46:07.4163580Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestConstraints-20221123014525.xml 2022-11-23T01:46:07.4164163Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributionShapes-20221123014525.xml 2022-11-23T01:46:07.4164862Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributions-20221123014525.xml 2022-11-23T01:46:07.4165441Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestFunctors-20221123014525.xml 2022-11-23T01:46:07.4166031Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestJit-20221123014525.xml 2022-11-23T01:46:07.4166543Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestKL-20221123014525.xml 2022-11-23T01:46:07.4167125Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestLazyLogitsInitialization-20221123014525.xml 2022-11-23T01:46:07.4167740Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestNumericalStability-20221123014525.xml 2022-11-23T01:46:07.4168290Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestRsample-20221123014525.xml 2022-11-23T01:46:07.4168834Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestValidation-20221123014525.xml 2022-11-23T01:46:07.4169082Z 2022-11-23T01:46:07.4169408Z ##[endgroup] 2022-11-23T01:46:07.4169839Z FINISHED PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_fwwet4pg) 2022-11-23T01:46:07.4170098Z 2022-11-23T01:46:07.4170297Z Running inductor/test_torchinductor_opinfo ... [2022-11-23 01:46:07.405351] 2022-11-23T01:46:09.0167512Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:46:09.0414901Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:46:09.0966594Z Ignoring disabled issues: [] 2022-11-23T01:46:09.1010198Z Ignoring disabled issues: [] 2022-11-23T01:46:09.1511374Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:09.150715] 2022-11-23T01:46:09.1512331Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:09.150737] 2022-11-23T01:46:18.7230742Z 2022-11-23T01:46:18.7231325Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo 2022-11-23T01:46:18.7232532Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_0gw0r6sq) 2022-11-23T01:46:18.7233448Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:46:18.7234002Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-a1812b4768b224a0.xml 2022-11-23T01:46:18.7234377Z ============================= test session starts ============================== 2022-11-23T01:46:18.7234741Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:46:18.7235002Z cachedir: .pytest_cache 2022-11-23T01:46:18.7235422Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:46:18.7235783Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:46:18.7236199Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:46:18.7237083Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py) 2022-11-23T01:46:18.7237498Z collected 0 items 2022-11-23T01:46:18.7237696Z Running 0 items in this shard: 2022-11-23T01:46:18.7237819Z 2022-11-23T01:46:18.7237934Z =============================== warnings summary =============================== 2022-11-23T01:46:18.7238338Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:46:18.7238928Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:46:18.7239289Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:46:18.7239423Z 2022-11-23T01:46:18.7239641Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:46:18.7240224Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-a1812b4768b224a0.xml - 2022-11-23T01:46:18.7240618Z ============================== 1 warning in 0.26s ============================== 2022-11-23T01:46:18.7240926Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:46:18.7241121Z 2022-11-23T01:46:18.7241344Z ##[endgroup] 2022-11-23T01:46:18.7241800Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_0gw0r6sq) 2022-11-23T01:46:18.7242055Z 2022-11-23T01:46:23.8701624Z 2022-11-23T01:46:23.8702371Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo 2022-11-23T01:46:23.8703516Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_wwrb0f91) 2022-11-23T01:46:23.8704082Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:46:23.8704620Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-1f4e7015be0e630c.xml 2022-11-23T01:46:23.8704980Z ============================= test session starts ============================== 2022-11-23T01:46:23.8705340Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:46:23.8705601Z cachedir: .pytest_cache 2022-11-23T01:46:23.8706011Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:46:23.8706355Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:46:23.8706780Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:46:23.8707462Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py) 2022-11-23T01:46:23.8707878Z collected 0 items 2022-11-23T01:46:23.8708059Z Running 0 items in this shard: 2022-11-23T01:46:23.8708180Z 2022-11-23T01:46:23.8708293Z =============================== warnings summary =============================== 2022-11-23T01:46:23.8708640Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:46:23.8709161Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:46:23.8709503Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:46:23.8709635Z 2022-11-23T01:46:23.8709860Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:46:23.8710645Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-1f4e7015be0e630c.xml - 2022-11-23T01:46:23.8711038Z ============================== 1 warning in 0.03s ============================== 2022-11-23T01:46:23.8711326Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:46:23.8711522Z 2022-11-23T01:46:23.8711759Z ##[endgroup] 2022-11-23T01:46:23.8712209Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_wwrb0f91) 2022-11-23T01:46:23.8712521Z 2022-11-23T01:46:24.2503855Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:24.249968] 2022-11-23T01:46:33.4650945Z 2022-11-23T01:46:33.4651459Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo 2022-11-23T01:46:33.4652611Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_r8lf8m8z) 2022-11-23T01:46:33.4653547Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:46:33.4654335Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-37289e6b9f4b068f.xml 2022-11-23T01:46:33.4654778Z ============================= test session starts ============================== 2022-11-23T01:46:33.4655130Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:46:33.4655389Z cachedir: .pytest_cache 2022-11-23T01:46:33.4655891Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:46:33.4656237Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:46:33.4656669Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:46:33.4657720Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py) 2022-11-23T01:46:33.4658221Z collected 0 items 2022-11-23T01:46:33.4658401Z Running 0 items in this shard: 2022-11-23T01:46:33.4658528Z 2022-11-23T01:46:33.4658646Z =============================== warnings summary =============================== 2022-11-23T01:46:33.4659053Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:46:33.4659580Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:46:33.4659997Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:46:33.4660131Z 2022-11-23T01:46:33.4660363Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:46:33.4660998Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-37289e6b9f4b068f.xml - 2022-11-23T01:46:33.4661440Z ============================== 1 warning in 0.03s ============================== 2022-11-23T01:46:33.4661730Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:46:33.4661928Z 2022-11-23T01:46:33.4662232Z ##[endgroup] 2022-11-23T01:46:33.4662685Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_r8lf8m8z) 2022-11-23T01:46:33.4662990Z 2022-11-23T01:46:33.4663167Z Running nn/test_pooling ... [2022-11-23 01:46:33.465524] 2022-11-23T01:46:33.4663881Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_pooling.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:33.465757] 2022-11-23T01:46:35.9746558Z 2022-11-23T01:46:35.9747070Z Expand the folded group to see the log file of nn/test_pooling 2022-11-23T01:46:35.9748097Z ##[group]PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_k5a6l_ms) 2022-11-23T01:46:35.9748442Z 2022-11-23T01:46:35.9748548Z Running tests... 2022-11-23T01:46:35.9749348Z ---------------------------------------------------------------------- 2022-11-23T01:46:35.9749886Z Test results will be stored in test-reports/python-unittest/nn.test_pooling 2022-11-23T01:46:35.9750353Z test_avg_pool1d_ceil_mode (__main__.TestAvgPool) ... ok (0.002s) 2022-11-23T01:46:35.9750755Z test_avg_pool2d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s) 2022-11-23T01:46:35.9751152Z test_avg_pool3d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s) 2022-11-23T01:46:35.9751596Z test_doubletensor_avg_pool2d (__main__.TestAvgPool) ... ok (0.008s) 2022-11-23T01:46:35.9752058Z test_doubletensor_avg_pool2d_with_divisor (__main__.TestAvgPool) ... ok (0.005s) 2022-11-23T01:46:35.9752511Z test_doubletensor_avg_pool3d (__main__.TestAvgPool) ... ok (0.048s) 2022-11-23T01:46:35.9753039Z test_doubletensor_avg_pool3d_with_divisor (__main__.TestAvgPool) ... ok (0.147s) 2022-11-23T01:46:35.9753555Z test_MaxUnpool2d_output_size (__main__.TestPoolingNN) ... ok (0.009s) 2022-11-23T01:46:35.9754023Z test_adaptive_pooling_avg_nhwc (__main__.TestPoolingNN) ... ok (0.003s) 2022-11-23T01:46:35.9754554Z test_adaptive_pooling_avg_nhwc_launch_config_backward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:46:35.9755201Z test_adaptive_pooling_avg_nhwc_launch_config_forward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:46:35.9755773Z test_adaptive_pooling_avg_nhwc_non_contiguous (__main__.TestPoolingNN) ... ok (0.003s) 2022-11-23T01:46:35.9756343Z test_adaptive_pooling_bfloat16 (__main__.TestPoolingNN) ... ok (0.007s) 2022-11-23T01:46:35.9756887Z test_adaptive_pooling_input_size (__main__.TestPoolingNN) ... ok (0.001s) 2022-11-23T01:46:35.9757461Z test_adaptive_pooling_size_none (__main__.TestPoolingNN) ... ok (0.002s) 2022-11-23T01:46:35.9757982Z test_adaptive_pooling_size_overflow (__main__.TestPoolingNN) ... ok (0.009s) 2022-11-23T01:46:35.9758459Z test_max_unpool (__main__.TestPoolingNN) ... ok (0.229s) 2022-11-23T01:46:35.9759017Z test_max_unpool2d_nhwc_cpu (__main__.TestPoolingNN) ... ok (0.002s) 2022-11-23T01:46:35.9759317Z 2022-11-23T01:46:35.9759741Z ---------------------------------------------------------------------- 2022-11-23T01:46:35.9760138Z Ran 18 tests in 0.478s 2022-11-23T01:46:35.9760298Z 2022-11-23T01:46:35.9760403Z OK (skipped=2) 2022-11-23T01:46:35.9760582Z 2022-11-23T01:46:35.9760721Z Generating XML reports... 2022-11-23T01:46:35.9761437Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestAvgPool-20221123014635.xml 2022-11-23T01:46:35.9762289Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNN-20221123014635.xml 2022-11-23T01:46:35.9762673Z 2022-11-23T01:46:35.9763104Z ##[endgroup] 2022-11-23T01:46:35.9763754Z FINISHED PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_k5a6l_ms) 2022-11-23T01:46:35.9764120Z 2022-11-23T01:46:35.9764396Z Running test_autograd ... [2022-11-23 01:46:35.974829] 2022-11-23T01:46:35.9765468Z Executing ['/opt/conda/bin/python', '-bb', 'test_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:35.975110] 2022-11-23T01:46:56.1724656Z 2022-11-23T01:46:56.1725440Z Expand the folded group to see the log file of test_autograd 2022-11-23T01:46:56.1726445Z ##[group]PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd___mw4btb) 2022-11-23T01:46:56.1726734Z 2022-11-23T01:46:56.1729813Z Running tests... 2022-11-23T01:46:56.1730718Z ---------------------------------------------------------------------- 2022-11-23T01:46:56.1731209Z Test results will be stored in test-reports/python-unittest/test_autograd 2022-11-23T01:46:56.1731633Z test_backward_out_of_context (__main__.TestAllowMutationOnSaved) ... ok (0.003s) 2022-11-23T01:46:56.1731949Z test_basic (__main__.TestAllowMutationOnSaved) ... ok (0.008s) 2022-11-23T01:46:56.1732297Z test_disallow_nesting (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T01:46:56.1732708Z test_double_backward (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T01:46:56.1733056Z test_save_base_and_modify_view (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T01:46:56.1733410Z test_save_view_modify_base (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T01:46:56.1733725Z test_saved_but_not_anymore (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T01:46:56.1734116Z test_saved_same_tensor_different_versions (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T01:46:56.1734504Z test_saved_same_tensor_many_times (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T01:46:56.1734990Z test_views (__main__.TestAllowMutationOnSaved) ... ok (0.007s) 2022-11-23T01:46:56.1735413Z test_with_math_views (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T01:46:56.1735834Z test_with_out_variant (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T01:46:56.1736157Z test_access_saved_tensor_twice_without_recomputation_works (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1737674Z test_accumulate_grad (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.) 2022-11-23T01:46:56.1738621Z Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2022-11-23T01:46:56.1738879Z ok (0.002s) 2022-11-23T01:46:56.1739123Z test_accumulate_grad_tensor_reference (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1739428Z test_accumulate_grad_with_zero_numel_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1739920Z test_anomaly_assign_parent_cleanup (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:3823: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging. 2022-11-23T01:46:56.1740317Z with detect_anomaly(): 2022-11-23T01:46:56.1740496Z ok (0.001s) 2022-11-23T01:46:56.1740702Z test_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1740983Z test_anomaly_grad_warnings (__main__.TestAutograd) ... ok (0.013s) 2022-11-23T01:46:56.1741265Z test_anomaly_mode_no_check_nan (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1741530Z test_attribute_deletion (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1741815Z test_autograd_inplace_view_of_view (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1742119Z test_autograd_inplace_views_creation_meta (__main__.TestAutograd) ... ok (0.227s) 2022-11-23T01:46:56.1742435Z test_autograd_inplace_views_cross_dtype (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1742727Z test_autograd_multiple_views_python (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1743038Z test_autograd_python_custom_function_inplace (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T01:46:56.1743344Z test_autograd_simple_views_python (__main__.TestAutograd) ... ok (0.089s) 2022-11-23T01:46:56.1743630Z test_autograd_views_codegen (__main__.TestAutograd) ... ok (0.018s) 2022-11-23T01:46:56.1743959Z test_backward (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1744222Z test_backward_badcalls (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1744485Z test_backward_copy (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1744750Z test_backward_create_graph_warns (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1745028Z test_backward_no_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1745368Z test_backward_twice_retained_graph_with_saved_values (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1745695Z test_backward_twice_retained_graph_without_saved_values (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1746017Z test_backward_twice_with_saved_values (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1746317Z test_backward_twice_without_saved_values (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1746880Z test_backward_with_inputs (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1747155Z test_backward_with_nonleaf_inputs (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1747930Z test_calculate_shape_util (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:46:56.1748479Z return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None) 2022-11-23T01:46:56.1748718Z ok (0.002s) 2022-11-23T01:46:56.1748932Z test_callback_adds_callback (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1749215Z test_cant_create_saved_tensors (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1749508Z test_checkpoint_valid_reset_on_error (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1749850Z test_checkpointing (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:46:56.1750197Z test_checkpointing_non_reentrant_autocast_cpu (__main__.TestAutograd) 2022-11-23T01:46:56.1750599Z Test that autocast args such as the dtype are preserved during non-reentrant ... ok (0.002s) 2022-11-23T01:46:56.1750920Z test_checkpointing_non_reentrant_autocast_gpu (__main__.TestAutograd) 2022-11-23T01:46:56.1751256Z Test that autocast args/kwargs such as the dtype are preserved during ... skip: Test requires CUDA bf16 support (0.000s) 2022-11-23T01:46:56.1751617Z test_checkpointing_without_reentrant_arbitrary_input_output (__main__.TestAutograd) 2022-11-23T01:46:56.1751950Z Ensures checkpointing without reentrant autograd works with functions ... ok (0.002s) 2022-11-23T01:46:56.1752265Z test_checkpointing_without_reentrant_correct_grad (__main__.TestAutograd) 2022-11-23T01:46:56.1752564Z Verifies that correct gradients are calculated for checkpoint ... ok (0.002s) 2022-11-23T01:46:56.1752899Z test_checkpointing_without_reentrant_custom_function_works (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1753228Z test_checkpointing_without_reentrant_dataparallel (__main__.TestAutograd) 2022-11-23T01:46:56.1753540Z Verifies gradient correctness when checkpoint without reentrant autograd ... ok (0.003s) 2022-11-23T01:46:56.1753900Z test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1754279Z test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1754638Z test_checkpointing_without_reentrant_input_requires_grad_False (__main__.TestAutograd) 2022-11-23T01:46:56.1755004Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:46:56.1755379Z test_checkpointing_without_reentrant_input_requires_grad_True (__main__.TestAutograd) 2022-11-23T01:46:56.1755796Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:46:56.1756196Z test_checkpointing_without_reentrant_memory_savings (__main__.TestAutograd) ... skip: Test requires CUDA (0.001s) 2022-11-23T01:46:56.1756534Z test_checkpointing_without_reentrant_parameter_used_in_an_out (__main__.TestAutograd) 2022-11-23T01:46:56.1756849Z Ensures that gradient hooks are only called once per tensor. ... ok (0.001s) 2022-11-23T01:46:56.1757198Z test_create_graph_and_full_backward_hook_cycle (__main__.TestAutograd) ... ok (0.565s) 2022-11-23T01:46:56.1757500Z test_current_graph_task_execution_order (__main__.TestAutograd) ... ok (0.011s) 2022-11-23T01:46:56.1757793Z test_current_graph_task_id (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1758078Z test_custom_autograd_no_early_free (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T01:46:56.1758388Z test_custom_autograd_repeated_grad_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1758673Z test_custom_function_cycle (__main__.TestAutograd) ... ok (0.187s) 2022-11-23T01:46:56.1759029Z test_custom_function_error (__main__.TestAutograd) ... ok (0.068s) 2022-11-23T01:46:56.1759313Z test_custom_function_exception (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1759606Z test_custom_function_forward_mode_forward_is_no_op (__main__.TestAutograd) ... ok (0.022s) 2022-11-23T01:46:56.1759937Z test_custom_function_forward_mode_inplace_checks (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1760275Z test_custom_function_forward_mode_non_tensor_before_tensor_args (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1760610Z test_custom_function_forward_mode_view_checks (__main__.TestAutograd) ... ok (0.013s) 2022-11-23T01:46:56.1760914Z test_custom_function_forward_mode_wrong_formula (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1761217Z test_custom_function_local_inplace (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1761511Z test_custom_function_no_tensors (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1761799Z test_custom_function_non_tensor_inputs_outputs (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T01:46:56.1762114Z test_custom_function_return_view_in_nograd (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1762415Z test_custom_function_save_for_forward (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T01:46:56.1762715Z test_custom_function_saved_tensors (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1762981Z test_deep_reentrant (__main__.TestAutograd) ... ok (0.192s) 2022-11-23T01:46:56.1763284Z test_default_saved_variable_hooks_double_backward (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1763571Z test_dep_nograd (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1763820Z test_dependent_backward (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1764077Z test_detach (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1764315Z test_detach_base (__main__.TestAutograd) 2022-11-23T01:46:56.1764543Z detaching base does not detach view ... ok (0.001s) 2022-11-23T01:46:56.1765067Z test_detach_then_inplace_raises_in_autograd (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1765636Z test_diagonal_expanded_v (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:2277: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:46:56.1766125Z v_expanded = torch.tensor(value).expand(10) 2022-11-23T01:46:56.1766315Z ok (0.001s) 2022-11-23T01:46:56.1766518Z test_dir (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1766787Z test_disabling_saved_tensor_hooks (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1767090Z test_disabling_saved_tensor_hooks_nested (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1767448Z test_dont_materialize_grads (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1767739Z test_duplicate_backward_root (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1768041Z test_first_grad_fn_access_in_no_grad_mode (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1768312Z test_free_deep_graph (__main__.TestAutograd) ... ok (1.838s) 2022-11-23T01:46:56.1768596Z test_free_deep_graph_complicated (__main__.TestAutograd) ... ok (1.212s) 2022-11-23T01:46:56.1768942Z test_free_deep_graph_pyfunction (__main__.TestAutograd) ... ok (1.242s) 2022-11-23T01:46:56.1769229Z test_full_backward_hook_double_backward (__main__.TestAutograd) ... ok (0.070s) 2022-11-23T01:46:56.1769506Z test_function (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1769772Z test_function_returns_input (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1770064Z test_function_returns_undefined_tensor (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1770330Z test_gc_in_destructor (__main__.TestAutograd) 2022-11-23T01:46:56.1770621Z Previously, if a Function destructor triggered a garbage collection, ... ok (0.903s) 2022-11-23T01:46:56.1770906Z test_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1771173Z test_grad_badcalls (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1771447Z test_grad_batched_grad (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1771716Z test_grad_empty_inputs (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1771995Z test_grad_fn_attr_bindings (__main__.TestAutograd) ... ok (0.021s) 2022-11-23T01:46:56.1772252Z test_grad_fn_badcalls (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1772520Z test_grad_fn_prehooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1772810Z test_grad_fn_prehooks_multiple_outputs (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1773099Z test_grad_fn_prehooks_remove_hooks (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1773401Z test_grad_mode_restored_reentrant (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1774644Z test_grad_nonleaf (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:601: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T01:46:56.1775401Z self.assertIsNone(x.grad) 2022-11-23T01:46:56.1775588Z ok (0.003s) 2022-11-23T01:46:56.1775806Z test_grad_nonleaf_many_outputs (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1777123Z test_grad_nonleaf_register_hook (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:653: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T01:46:56.1777912Z self.assertIsNone(x_list[0].grad) 2022-11-23T01:46:56.1779066Z /var/lib/jenkins/workspace/test/test_autograd.py:660: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T01:46:56.1779784Z self.assertIsNone(x_list[i].grad) 2022-11-23T01:46:56.1779962Z ok (0.003s) 2022-11-23T01:46:56.1780185Z test_grad_unreachable (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1780505Z test_grad_unreachable_discovery (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1780812Z test_gradcheck_backward_mul_by_grad_output (__main__.TestAutograd) ... ok (0.022s) 2022-11-23T01:46:56.1781109Z test_gradcheck_check_batched_grad (__main__.TestAutograd) ... ok (0.049s) 2022-11-23T01:46:56.1781408Z test_gradcheck_check_forward_or_backward_only (__main__.TestAutograd) 2022-11-23T01:46:56.1781725Z Depending on settings for check_forward_ad and check_backward_ad, the ... ok (0.020s) 2022-11-23T01:46:56.1782523Z test_gradcheck_check_no_differentiable_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:46:56.1783020Z warnings.warn( 2022-11-23T01:46:56.1783194Z ok (0.003s) 2022-11-23T01:46:56.1783440Z test_gradcheck_complex_non_complex_outputs (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T01:46:56.1784196Z test_gradcheck_custom_error (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:46:56.1784669Z warnings.warn( 2022-11-23T01:46:56.1784837Z ok (0.014s) 2022-11-23T01:46:56.1785077Z test_gradcheck_dense_and_sparse_inputs (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1785363Z test_gradcheck_forward_ad (__main__.TestAutograd) ... ok (0.110s) 2022-11-23T01:46:56.1785660Z test_gradcheck_forward_ad_batched_grad (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T01:46:56.1785981Z test_gradcheck_forward_ad_respects_requires_grad (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1786296Z test_gradcheck_forward_ad_runs_with_no_requires_grad (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1787327Z test_gradcheck_get_analytical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:580: UserWarning: get_analytical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new 2022-11-23T01:46:56.1788299Z warnings.warn("get_analytical_jacobian was part of PyTorch's private API and not " 2022-11-23T01:46:56.1788547Z ok (0.011s) 2022-11-23T01:46:56.1789469Z test_gradcheck_get_numerical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:173: UserWarning: get_numerical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new 2022-11-23T01:46:56.1790231Z warnings.warn("get_numerical_jacobian was part of PyTorch's private API and not " 2022-11-23T01:46:56.1790465Z ok (0.008s) 2022-11-23T01:46:56.1791216Z test_gradcheck_jacobian_mismatch (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:46:56.1791693Z warnings.warn( 2022-11-23T01:46:56.1791849Z ok (0.039s) 2022-11-23T01:46:56.1792558Z test_gradcheck_multiple_mkldnn_inputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:46:56.1793068Z warnings.warn( 2022-11-23T01:46:56.1793236Z ok (0.016s) 2022-11-23T01:46:56.1793459Z test_gradcheck_nondeterministic (__main__.TestAutograd) ... ok (0.069s) 2022-11-23T01:46:56.1793794Z test_gradcheck_output_shape_or_dtype_depend_on_values (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1794107Z test_gradcheck_single_input (__main__.TestAutograd) ... ok (0.011s) 2022-11-23T01:46:56.1794744Z test_gradcheck_sparse_csr_input (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:4081: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:46:56.1795392Z gradcheck(fn, torch.rand(2, 2, dtype=torch.double).to_sparse_csr().requires_grad_(True), check_sparse_nnz=True, 2022-11-23T01:46:56.1795674Z expected failure (0.005s) 2022-11-23T01:46:56.1795914Z test_gradcheck_sparse_input (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1796671Z test_gradcheck_test_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:46:56.1797129Z warnings.warn( 2022-11-23T01:46:56.1797299Z ok (0.002s) 2022-11-23T01:46:56.1797528Z test_gradcheck_undefined_grad (__main__.TestAutograd) ... ok (0.012s) 2022-11-23T01:46:56.1797825Z test_gradcheck_validates_input_mkldnn (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T01:46:56.1798111Z test_gradcheck_validates_inputs (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T01:46:56.1798393Z test_graph_save_on_cpu (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T01:46:56.1798689Z test_graph_save_on_cpu_cuda (__main__.TestAutograd) ... skip: test requires CUDA (0.001s) 2022-11-23T01:46:56.1799043Z test_hessian_vector (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1799299Z test_hook_none (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1799555Z test_hook_with_no_name (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1799798Z test_hooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1800043Z test_hooks_cpp (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1800320Z test_index_backward_does_not_save_tensor (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1800596Z test_indexing (__main__.TestAutograd) ... ok (0.019s) 2022-11-23T01:46:56.1800845Z test_indexing_duplicates (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1801105Z test_inplace (__main__.TestAutograd) ... ok (0.023s) 2022-11-23T01:46:56.1801374Z test_inplace_not_requires_grad (__main__.TestAutograd) ... ok (0.010s) 2022-11-23T01:46:56.1801648Z test_inplace_on_view_backward (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1801935Z test_inplace_on_view_leaf_errors (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1802225Z test_inplace_on_view_saved_output (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1802515Z test_inplace_on_view_weak_grad_fn (__main__.TestAutograd) ... ok (0.099s) 2022-11-23T01:46:56.1802843Z test_input_buffer_accum (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1803112Z test_integer_outputs (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1803380Z test_invalid_gradients (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1803633Z test_isolated_node (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1803898Z test_leaf_assignment (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1804233Z test_legacy_function_deprecation_exception (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1805211Z test_lobpcg (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80338 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:46:56.1805757Z test_mark_non_differentiable (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1806053Z test_mark_non_differentiable_mixed (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1806351Z test_mark_non_differentiable_none (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1806623Z test_materialize_grads (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1806892Z test_multi_backward (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1807164Z test_multi_backward_no_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1807438Z test_multi_grad_hooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1808290Z test_named_tensor_for_complex_views (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.) 2022-11-23T01:46:56.1808868Z return super(Tensor, self).refine_names(names) 2022-11-23T01:46:56.1809070Z ok (0.001s) 2022-11-23T01:46:56.1809317Z test_naughty_anomaly_access (__main__.TestAutograd) ... expected failure (0.002s) 2022-11-23T01:46:56.1809630Z test_naughty_autograd_function_attribute_access (__main__.TestAutograd) ... ok (0.011s) 2022-11-23T01:46:56.1809960Z test_naughty_autograd_function_stashing_ctx (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1810265Z test_nested_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1810549Z test_nested_anomaly_printstack_cleanup (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1810833Z test_next_functions (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1811083Z test_no_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1811337Z test_no_grad_assignment (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1811591Z test_no_grad_copy (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1812310Z test_no_grad_copy_sparse (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2327: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`. 2022-11-23T01:46:56.1812771Z warnings.warn( 2022-11-23T01:46:56.1812929Z ok (0.006s) 2022-11-23T01:46:56.1813144Z test_no_grad_input (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1813426Z test_no_grad_modifies_version (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1813702Z test_no_grad_python_function (__main__.TestAutograd) 2022-11-23T01:46:56.1813953Z Python Functions should respect grad mode. ... ok (0.001s) 2022-11-23T01:46:56.1814227Z test_no_requires_grad_inplace (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1814505Z test_no_unnecessary_save (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1814843Z test_no_unnecessary_unwrapping (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1815133Z test_not_implemented_fwad (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1815412Z test_not_implemented_grad (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1815673Z test_numpy_requires_grad (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1815947Z test_once_differentiable (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1816295Z test_out_variant_raises_when_inputs_require_grad (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1816627Z test_pack_hook_with_inplace_modification_should_fail (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1816903Z test_pickle (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1817169Z test_pow_zero_tensor_gradient (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1817441Z test_power_function (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1817896Z test_profiler (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:45 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1818377Z STAGE:2022-11-23 01:46:45 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1818854Z STAGE:2022-11-23 01:46:45 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1819120Z ok (0.002s) 2022-11-23T01:46:56.1819340Z test_profiler_aggregation_fake (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1819840Z test_profiler_aggregation_lstm (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:45 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1820323Z STAGE:2022-11-23 01:46:45 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1820772Z STAGE:2022-11-23 01:46:45 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1820963Z 2022-11-23T01:46:56.1821091Z =================================================================================================================================================================== 2022-11-23T01:46:56.1821292Z TEST 2022-11-23T01:46:56.1821751Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1822214Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T01:46:56.1822747Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1823170Z aten::lstm 1.03% 225.000us 5.06% 1.108ms 1.108ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1823466Z aten::lstm 0.96% 211.000us 5.03% 1.102ms 1.102ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1823754Z aten::lstm 0.94% 206.000us 4.88% 1.069ms 1.069ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1824035Z aten::lstm 0.93% 203.000us 4.94% 1.082ms 1.082ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1824304Z aten::lstm 0.91% 200.000us 4.75% 1.039ms 1.039ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1824589Z aten::lstm 0.91% 199.000us 5.83% 1.277ms 1.277ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1824917Z aten::lstm 0.91% 199.000us 4.92% 1.077ms 1.077ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1825202Z aten::lstm 0.91% 199.000us 4.78% 1.046ms 1.046ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1825481Z aten::lstm 0.90% 197.000us 4.76% 1.043ms 1.043ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1825779Z aten::lstm 0.89% 194.000us 4.89% 1.071ms 1.071ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1826281Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1826645Z Self CPU time total: 21.892ms 2022-11-23T01:46:56.1826773Z 2022-11-23T01:46:56.1827132Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1827582Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T01:46:56.1828117Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1828524Z aten::lstm 17.44% 3.819ms 98.15% 21.487ms 1.074ms 20 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1828811Z aten::addmm 10.20% 2.234ms 12.49% 2.734ms 13.670us 200 [[80], [3, 20], [20, 80], [], []] 2022-11-23T01:46:56.1829098Z aten::mul 9.10% 1.992ms 9.10% 1.992ms 3.320us 600 [[3, 20], [3, 20]] 2022-11-23T01:46:56.1829387Z aten::sigmoid_ 8.11% 1.776ms 8.11% 1.776ms 2.960us 600 [[3, 20]] 2022-11-23T01:46:56.1829669Z aten::unsafe_split 7.43% 1.627ms 17.40% 3.810ms 19.050us 200 [[3, 80], [], []] 2022-11-23T01:46:56.1829975Z aten::narrow 5.00% 1.094ms 9.97% 2.183ms 2.729us 800 [[3, 80], [], [], []] 2022-11-23T01:46:56.1830259Z aten::slice 4.91% 1.074ms 4.97% 1.089ms 1.361us 800 [[3, 80], [], [], [], []] 2022-11-23T01:46:56.1830542Z aten::tanh_ 3.61% 790.000us 3.61% 790.000us 3.950us 200 [[3, 20]] 2022-11-23T01:46:56.1830826Z aten::tanh 3.10% 679.000us 3.10% 679.000us 3.395us 200 [[3, 20]] 2022-11-23T01:46:56.1831097Z aten::linear 2.99% 655.000us 18.78% 4.112ms 20.560us 200 [[3, 20], [80, 20], [80]] 2022-11-23T01:46:56.1831604Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1831962Z Self CPU time total: 21.892ms 2022-11-23T01:46:56.1832086Z 2022-11-23T01:46:56.1832208Z =================================================================================================================================================================== 2022-11-23T01:46:56.1832393Z TEST 2022-11-23T01:46:56.1832644Z =================================================================================================================================================================== 2022-11-23T01:46:56.1832948Z This report only display top-level ops statistics 2022-11-23T01:46:56.1833452Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1833929Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T01:46:56.1834482Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1834888Z aten::lstm 1.03% 225.000us 5.06% 1.108ms 1.108ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1835176Z aten::lstm 0.96% 211.000us 5.03% 1.102ms 1.102ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1835462Z aten::lstm 0.94% 206.000us 4.88% 1.069ms 1.069ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1835729Z aten::lstm 0.93% 203.000us 4.94% 1.082ms 1.082ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1836013Z aten::lstm 0.91% 200.000us 4.75% 1.039ms 1.039ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1836295Z aten::lstm 0.91% 199.000us 5.83% 1.277ms 1.277ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1836579Z aten::lstm 0.91% 199.000us 4.92% 1.077ms 1.077ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1836860Z aten::lstm 0.91% 199.000us 4.78% 1.046ms 1.046ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1837137Z aten::lstm 0.90% 197.000us 4.76% 1.043ms 1.043ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1837400Z aten::lstm 0.89% 194.000us 4.89% 1.071ms 1.071ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1837910Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1838259Z Self CPU time total: 21.892ms 2022-11-23T01:46:56.1838379Z 2022-11-23T01:46:56.1838641Z ERROR:2022-11-23 01:46:47 15593:15593 CudaDeviceProperties.cpp:27] cudaGetDeviceCount failed with code 35 2022-11-23T01:46:56.1839015Z =================================================================================================================================================================== 2022-11-23T01:46:56.1839315Z This report only display top-level ops statistics 2022-11-23T01:46:56.1839820Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1840267Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T01:46:56.1840799Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1841252Z aten::lstm 17.44% 3.819ms 98.15% 21.487ms 1.074ms 20 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T01:46:56.1841547Z aten::randn 0.93% 203.000us 1.81% 396.000us 6.600us 60 [[], [], [], [], []] 2022-11-23T01:46:56.1842050Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T01:46:56.1842435Z Self CPU time total: 21.892ms 2022-11-23T01:46:56.1842542Z 2022-11-23T01:46:56.1842660Z Total time based on python measurements: 23.740ms 2022-11-23T01:46:56.1842918Z CPU time measurement python side overhead: 8.44% 2022-11-23T01:46:56.1843123Z ok (1.293s) 2022-11-23T01:46:56.1843330Z test_profiler_aggregation_table (__main__.TestAutograd) 2022-11-23T01:46:56.1843829Z Test if the profiling result is aggregated for `str(prof)` ... STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1844323Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1844940Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1845207Z ok (0.003s) 2022-11-23T01:46:56.1845442Z test_profiler_function_event_avg (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1845943Z test_profiler_propagation (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1846413Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1846860Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1847121Z ok (0.048s) 2022-11-23T01:46:56.1847871Z test_profiler_seq_nr (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/66893 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:46:56.1848608Z test_profiler_shapes (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1849088Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1849532Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1849734Z 2022-11-23T01:46:56.1850076Z ---------------------- ------------ ------------ ------------ ------------ ------------ ------------ --------------------------------------- 2022-11-23T01:46:56.1850493Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T01:46:56.1851017Z ---------------------- ------------ ------------ ------------ ------------ ------------ ------------ --------------------------------------- 2022-11-23T01:46:56.1851416Z aten::linear 3.57% 6.000us 53.57% 90.000us 90.000us 1 [[128, 20], [30, 20], [30]] 2022-11-23T01:46:56.1851706Z aten::t 8.33% 14.000us 13.10% 22.000us 22.000us 1 [[30, 20]] 2022-11-23T01:46:56.1851992Z aten::transpose 3.57% 6.000us 4.76% 8.000us 8.000us 1 [[30, 20], [], []] 2022-11-23T01:46:56.1852341Z aten::as_strided 1.19% 2.000us 1.19% 2.000us 2.000us 1 [[30, 20], [], [], []] 2022-11-23T01:46:56.1852637Z aten::addmm 30.95% 52.000us 36.90% 62.000us 62.000us 1 [[30], [128, 20], [20, 30], [], []] 2022-11-23T01:46:56.1852930Z aten::expand 1.79% 3.000us 1.79% 3.000us 3.000us 1 [[30], [], []] 2022-11-23T01:46:56.1853220Z aten::as_strided 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[30], [], [], []] 2022-11-23T01:46:56.1853555Z aten::copy_ 4.17% 7.000us 4.17% 7.000us 7.000us 1 [[128, 30], [128, 30], []] 2022-11-23T01:46:56.1853827Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 30]] 2022-11-23T01:46:56.1854119Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 20]] 2022-11-23T01:46:56.1854400Z aten::linear 1.79% 3.000us 46.43% 78.000us 78.000us 1 [[128, 30], [40, 30], [40]] 2022-11-23T01:46:56.1854682Z aten::t 1.79% 3.000us 2.98% 5.000us 5.000us 1 [[40, 30]] 2022-11-23T01:46:56.1854964Z aten::transpose 1.19% 2.000us 1.19% 2.000us 2.000us 1 [[40, 30], [], []] 2022-11-23T01:46:56.1855235Z aten::as_strided 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[40, 30], [], [], []] 2022-11-23T01:46:56.1855518Z aten::addmm 38.10% 64.000us 41.67% 70.000us 70.000us 1 [[40], [128, 30], [30, 40], [], []] 2022-11-23T01:46:56.1855800Z aten::expand 0.60% 1.000us 0.60% 1.000us 1.000us 1 [[40], [], []] 2022-11-23T01:46:56.1856084Z aten::as_strided 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[40], [], [], []] 2022-11-23T01:46:56.1856363Z aten::copy_ 2.98% 5.000us 2.98% 5.000us 5.000us 1 [[128, 40], [128, 40], []] 2022-11-23T01:46:56.1856636Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 40]] 2022-11-23T01:46:56.1856921Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 30]] 2022-11-23T01:46:56.1857405Z ---------------------- ------------ ------------ ------------ ------------ ------------ ------------ --------------------------------------- 2022-11-23T01:46:56.1857739Z Self CPU time total: 168.000us 2022-11-23T01:46:56.1857861Z 2022-11-23T01:46:56.1857927Z ok (0.004s) 2022-11-23T01:46:56.1858347Z test_profiler_unboxed_only (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1858829Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1859278Z STAGE:2022-11-23 01:46:47 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1859525Z ok (0.001s) 2022-11-23T01:46:56.1859760Z test_pynode_destruction_deadlock (__main__.TestAutograd) ... ok (1.438s) 2022-11-23T01:46:56.1860243Z test_record_function (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1860717Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1861214Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1861657Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1862088Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1862519Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1862812Z ok (0.004s) 2022-11-23T01:46:56.1863246Z test_record_function_callbacks (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1863725Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1864155Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1864417Z ok (0.002s) 2022-11-23T01:46:56.1864851Z test_record_function_legacy (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:46:56.1865335Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:46:56.1865766Z STAGE:2022-11-23 01:46:48 15593:15593 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:46:56.1866028Z ok (0.002s) 2022-11-23T01:46:56.1866266Z test_record_function_multithreaded (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1866546Z test_reentrant_child_error (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1866828Z test_reentrant_priority (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1867122Z test_reentrant_with_callbacks_both_depths (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1867430Z test_reentrant_with_callbacks_depth_0 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1867717Z test_reentrant_with_callbacks_depth_1 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1868014Z test_reentrant_with_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1868319Z test_reentrant_with_non_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1868588Z test_requires_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1868853Z test_requires_grad_ (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1869125Z test_requires_grad_inplace (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1869381Z test_retain_grad (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1869645Z test_retain_grad_cycle (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1869915Z test_retain_grad_inplace (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1870202Z test_retain_grad_inplace_over_view (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1870469Z test_return_duplicate (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1870748Z test_return_duplicate_inplace (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1871018Z test_return_leaf (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1871267Z test_return_leaf_inplace (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1871541Z test_save_none_for_backward (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1871830Z test_save_on_cpu_and_checkpoint (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1872105Z test_save_output_nr (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1872420Z test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1872807Z test_saved_variable_packing_unpacking_did_not_save_original_with_hooks (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1873232Z test_saved_variable_packing_unpacking_saved_original_with_default_hooks (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1873588Z test_saved_variable_packing_unpacking_saved_original_with_hooks (__main__.TestAutograd) ... ok (0.013s) 2022-11-23T01:46:56.1873933Z test_saved_variable_saved_original_inplace_detach (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1874247Z test_saved_variable_version_counter (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1874572Z test_saved_variables_deprecated (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1874846Z test_saving_variable_to_disk (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1875119Z test_select_expanded_v (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1875378Z test_select_sum (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1875631Z test_set_data_preserve_pyobj (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1875916Z test_set_data_self_requires_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1876208Z test_set_data_tensorimpl_type (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1876488Z test_set_grad_coroutines (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1876768Z test_set_grad_coroutines_benign_exceptions (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1877088Z test_set_grad_coroutines_critical_exceptions (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1877392Z test_set_grad_coroutines_exit (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1877653Z test_set_grad_enabled (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1877932Z test_set_grad_generator_functions (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1878235Z test_set_grad_generator_functions_recursive (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1878511Z test_setitem (__main__.TestAutograd) ... ok (0.014s) 2022-11-23T01:46:56.1878751Z test_setitem_mask (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1879144Z test_setting_default_saved_variable_hooks_twice_should_not_fail (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1879502Z test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1879781Z test_shape (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1880033Z test_sharded_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1880302Z test_simple_reentrant (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1880555Z test_slice_expanded_v (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1880832Z test_sparse_gather_both_scalar (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1881110Z test_sparse_gather_dim0 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1881377Z test_sparse_gather_dim1 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1881637Z test_sparse_gather_dim_neg (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1881923Z test_sparse_gather_ind_scalar (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1882206Z test_sparse_gather_x_scalar (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1882466Z test_sparse_mm_backward (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T01:46:56.1882919Z test_symeig_no_eigenvectors (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:3933: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T01:46:56.1883451Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T01:46:56.1883766Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T01:46:56.1883956Z should be replaced with 2022-11-23T01:46:56.1884256Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T01:46:56.1884467Z and 2022-11-23T01:46:56.1884678Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T01:46:56.1885038Z should be replaced with 2022-11-23T01:46:56.1885505Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.) 2022-11-23T01:46:56.1885856Z w, v = torch.symeig(A, eigenvectors=False) 2022-11-23T01:46:56.1886055Z ok (0.011s) 2022-11-23T01:46:56.1886279Z test_tensor_grad_warnings (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1886609Z test_thread_shutdown (__main__.TestAutograd) ... ok (1.429s) 2022-11-23T01:46:56.1886859Z test_too_many_grads (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1887120Z test_type_conversions (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T01:46:56.1887391Z test_unrelated_inputs (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T01:46:56.1887642Z test_unused_output (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1887914Z test_var_mean_differentiable (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T01:46:56.1888193Z test_variable_traverse (__main__.TestAutograd) ... ok (0.117s) 2022-11-23T01:46:56.1888446Z test_version_counter (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1888715Z test_volatile_deprecated (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1888997Z test_will_engine_execute_node (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1889293Z test_wrapped_number_saved_variable_hooks (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1889626Z test_view_func_for_complex_views (autograd.test_complex.TestAutogradComplex) ... ok (0.003s) 2022-11-23T01:46:56.1889987Z test_view_with_multi_output (autograd.test_complex.TestAutogradComplex) ... ok (0.007s) 2022-11-23T01:46:56.1890792Z test_advanced_packing_unpacking (__main__.TestAutogradForwardMode) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:46:56.1891298Z warnings.warn(message, UserWarning) 2022-11-23T01:46:56.1891482Z ok (0.004s) 2022-11-23T01:46:56.1891736Z test_backward_graph_destruction (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1892069Z test_basic_packing_unpacking (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1892393Z test_codegen_ignores_undefined_outputs (__main__.TestAutogradForwardMode) ... ok (0.007s) 2022-11-23T01:46:56.1892736Z test_create_new_zeros_with_same_meta (__main__.TestAutogradForwardMode) ... ok (0.007s) 2022-11-23T01:46:56.1893052Z test_default_level (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1893362Z test_detach_view_tracking (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1893669Z test_forward_level_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1893975Z test_grad_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1894296Z test_make_dual_forbid_integral_dtype (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1894634Z test_make_dual_inference_tensor_in_inference_mode (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1894982Z test_make_dual_torch_dispatch (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T01:46:56.1895311Z test_metadata_check_check_conj (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T01:46:56.1895652Z test_metadata_check_checks_ignores_size_zero (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T01:46:56.1895992Z test_metadata_check_checks_storage_numel (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1896364Z test_metadata_check_ignore_storage_offset_for_zero_numel_tensor (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1896778Z test_metadata_check_when_primal_has_conj_bit (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1897132Z test_metadata_check_when_primal_has_neg_bit (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1897441Z test_nested_level (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T01:46:56.1897750Z test_non_differentiable (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T01:46:56.1898054Z test_out_variant (__main__.TestAutogradForwardMode) ... ok (0.005s) 2022-11-23T01:46:56.1898373Z test_print (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T01:46:56.1898696Z test_set_fw_grad_having_own_fw_grad_at_same_level (__main__.TestAutogradForwardMode) ... ok (0.004s) 2022-11-23T01:46:56.1899020Z test_size_check (__main__.TestAutogradForwardMode) ... ok (0.004s) 2022-11-23T01:46:56.1899323Z test_view_inplace_always_creates_a_view (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T01:46:56.1899667Z test_view_inplace_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T01:46:56.1900022Z test_view_inplace_non_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T01:46:56.1900390Z test_inplace_on_view_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s) 2022-11-23T01:46:56.1900758Z test_inplace_on_view_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s) 2022-11-23T01:46:56.1901152Z test_metadata_check_for_storage_numel_skipped (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.005s) 2022-11-23T01:46:56.1901537Z test_out_of_place_basic (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.007s) 2022-11-23T01:46:56.1901905Z test_out_of_place_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s) 2022-11-23T01:46:56.1902291Z test_construct_standard_basis_for_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1902739Z test_construct_standard_basis_for_cuda_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T01:46:56.1903210Z test_construct_standard_basis_for_cuda_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T01:46:56.1903654Z test_construct_standard_basis_for_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s) 2022-11-23T01:46:56.1904071Z test_hessian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.137s) 2022-11-23T01:46:56.1904512Z test_hessian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.870s) 2022-11-23T01:46:56.1904950Z test_hessian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.072s) 2022-11-23T01:46:56.1905385Z test_hessian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.388s) 2022-11-23T01:46:56.1905798Z test_hessian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1906206Z test_hessian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T01:46:56.1906624Z test_hessian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T01:46:56.1907036Z test_hessian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1907469Z test_hessian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1907901Z test_hessian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s) 2022-11-23T01:46:56.1908324Z test_hessian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1908765Z test_hessian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T01:46:56.1909175Z test_hessian_match_vhp_hvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1909577Z test_hessian_match_vhp_hvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s) 2022-11-23T01:46:56.1909971Z test_hessian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1910383Z test_hessian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T01:46:56.1910773Z test_hessian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1911163Z test_hessian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s) 2022-11-23T01:46:56.1911562Z test_hessian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1911962Z test_hessian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T01:46:56.1912381Z test_hessian_scalar_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1912802Z test_hessian_scalar_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T01:46:56.1913224Z test_hessian_scalar_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1913630Z test_hessian_scalar_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1914061Z test_hessian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s) 2022-11-23T01:46:56.1914506Z test_hessian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.115s) 2022-11-23T01:46:56.1914951Z test_hessian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T01:46:56.1915377Z test_hessian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.033s) 2022-11-23T01:46:56.1915833Z test_hessian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1916302Z test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.030s) 2022-11-23T01:46:56.1916750Z test_hessian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T01:46:56.1917174Z test_hessian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1917588Z test_hvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.087s) 2022-11-23T01:46:56.1917985Z test_hvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.480s) 2022-11-23T01:46:56.1918368Z test_hvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1918754Z test_hvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T01:46:56.1919230Z test_hvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1919630Z test_hvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1920009Z test_hvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1920395Z test_hvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T01:46:56.1920818Z test_hvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1921201Z test_hvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1921569Z test_hvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1921953Z test_hvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T01:46:56.1922415Z test_jacobian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.060s) 2022-11-23T01:46:56.1922844Z test_jacobian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.345s) 2022-11-23T01:46:56.1923281Z test_jacobian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.047s) 2022-11-23T01:46:56.1923723Z test_jacobian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.245s) 2022-11-23T01:46:56.1924153Z test_jacobian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1924552Z test_jacobian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T01:46:56.1925095Z test_jacobian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T01:46:56.1925534Z test_jacobian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T01:46:56.1925969Z test_jacobian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1926388Z test_jacobian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T01:46:56.1926822Z test_jacobian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1927248Z test_jacobian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1927669Z test_jacobian_match_vjp_jvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1928065Z test_jacobian_match_vjp_jvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T01:46:56.1928462Z test_jacobian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1928856Z test_jacobian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T01:46:56.1929248Z test_jacobian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1929628Z test_jacobian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T01:46:56.1930034Z test_jacobian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1930450Z test_jacobian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T01:46:56.1930852Z test_jacobian_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1931239Z test_jacobian_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1931643Z test_jacobian_scalar_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T01:46:56.1932062Z test_jacobian_scalar_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1932516Z test_jacobian_vectorize_correctness_different_devices_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T01:46:56.1933081Z test_jacobian_vectorize_correctness_different_devices_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T01:46:56.1933570Z test_jacobian_vectorize_correctness_different_dtype_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1934033Z test_jacobian_vectorize_correctness_different_dtype_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T01:46:56.1934529Z test_jacobian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1934967Z test_jacobian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.019s) 2022-11-23T01:46:56.1935432Z test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T01:46:56.1935910Z test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.063s) 2022-11-23T01:46:56.1936363Z test_jacobian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1936787Z test_jacobian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.021s) 2022-11-23T01:46:56.1937237Z test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1937699Z test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.022s) 2022-11-23T01:46:56.1938152Z test_jacobian_vectorize_correctness_zero_dim_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T01:46:56.1938579Z test_jacobian_vectorize_correctness_zero_dim_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.036s) 2022-11-23T01:46:56.1939022Z test_jacobian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T01:46:56.1939449Z test_jacobian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1939865Z test_jvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.061s) 2022-11-23T01:46:56.1940248Z test_jvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.339s) 2022-11-23T01:46:56.1940636Z test_jvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1941021Z test_jvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1941401Z test_jvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1941801Z test_jvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1942188Z test_jvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1942574Z test_jvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1942941Z test_jvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1943324Z test_jvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1943703Z test_jvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1944083Z test_jvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1944485Z test_vhp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.078s) 2022-11-23T01:46:56.1944885Z test_vhp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.441s) 2022-11-23T01:46:56.1945273Z test_vhp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1945645Z test_vhp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T01:46:56.1946028Z test_vhp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1946458Z test_vhp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1946849Z test_vhp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1947217Z test_vhp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T01:46:56.1947596Z test_vhp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1947974Z test_vhp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1948350Z test_vhp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1948714Z test_vhp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1949108Z test_vjp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.055s) 2022-11-23T01:46:56.1949503Z test_vjp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.301s) 2022-11-23T01:46:56.1949876Z test_vjp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1950262Z test_vjp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1950655Z test_vjp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1951053Z test_vjp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1951429Z test_vjp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1951814Z test_vjp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T01:46:56.1952192Z test_vjp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1952570Z test_vjp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T01:46:56.1952936Z test_vjp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T01:46:56.1953312Z test_vjp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T01:46:56.1953680Z test_inference_mode_context_manager (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1954005Z test_inference_mode_decorator (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1954361Z test_inference_mode_existing_autograd_session (__main__.TestAutogradInferenceMode) ... ok (0.006s) 2022-11-23T01:46:56.1954731Z test_inference_mode_handle_direct_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.007s) 2022-11-23T01:46:56.1955107Z test_inference_mode_handle_indirect_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.006s) 2022-11-23T01:46:56.1955473Z test_inference_mode_inf_tensor_in_inf_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1955857Z test_inference_mode_inf_tensor_in_inf_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1956230Z test_inference_mode_inf_tensor_in_inf_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1956660Z test_inference_mode_inf_tensor_in_normal_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1957037Z test_inference_mode_inf_tensor_in_normal_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.008s) 2022-11-23T01:46:56.1957417Z test_inference_mode_inf_tensor_in_normal_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1957776Z test_inference_mode_tensor_creation (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1958168Z test_mix_inference_and_normal_tensor_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.005s) 2022-11-23T01:46:56.1958525Z test_mix_inference_and_normal_tensor_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.009s) 2022-11-23T01:46:56.1958959Z test_mix_inference_and_normal_tensor_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1959334Z test_normal_tensor_inplace_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1959695Z test_normal_tensor_inplace_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1960069Z test_normal_tensor_view_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T01:46:56.1960432Z test_normal_tensor_view_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.004s) 2022-11-23T01:46:56.1960759Z test_cat_stack_r_to_c (__main__.TestMultithreadAutograd) ... ok (0.112s) 2022-11-23T01:46:56.1961075Z test_dataparallel_saved_tensors_hooks (__main__.TestMultithreadAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1961402Z test_fork_join_in_middle (__main__.TestMultithreadAutograd) ... ok (0.020s) 2022-11-23T01:46:56.1961708Z test_multi_grad_hooks (__main__.TestMultithreadAutograd) ... ok (0.006s) 2022-11-23T01:46:56.1962029Z test_multithreaded_exception_propagation (__main__.TestMultithreadAutograd) ... ok (0.002s) 2022-11-23T01:46:56.1962365Z test_preserve_backtrace (__main__.TestMultithreadAutograd) ... ok (0.001s) 2022-11-23T01:46:56.1962689Z test_python_thread_in_middle (__main__.TestMultithreadAutograd) ... ok (0.022s) 2022-11-23T01:46:56.1963002Z test_simple_backward (__main__.TestMultithreadAutograd) ... ok (0.007s) 2022-11-23T01:46:56.1963307Z test_simple_backward_same_input (__main__.TestMultithreadAutograd) ... ok (0.009s) 2022-11-23T01:46:56.1963490Z 2022-11-23T01:46:56.1963728Z ---------------------------------------------------------------------- 2022-11-23T01:46:56.1963972Z Ran 461 tests in 17.328s 2022-11-23T01:46:56.1964087Z 2022-11-23T01:46:56.1964168Z OK (skipped=12, expected failures=2) 2022-11-23T01:46:56.1964299Z 2022-11-23T01:46:56.1964382Z Generating XML reports... 2022-11-23T01:46:56.1964927Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123014638.xml 2022-11-23T01:46:56.1965457Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123014638.xml 2022-11-23T01:46:56.1966001Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123014638.xml 2022-11-23T01:46:56.1966578Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123014638.xml 2022-11-23T01:46:56.1967166Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123014638.xml 2022-11-23T01:46:56.1967798Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123014638.xml 2022-11-23T01:46:56.1968374Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123014638.xml 2022-11-23T01:46:56.1968921Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123014638.xml 2022-11-23T01:46:56.1969164Z 2022-11-23T01:46:56.1969533Z ##[endgroup] 2022-11-23T01:46:56.1969955Z FINISHED PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd___mw4btb) 2022-11-23T01:46:56.1970173Z 2022-11-23T01:46:56.1970345Z Running test_cpp_api_parity ... [2022-11-23 01:46:56.173391] 2022-11-23T01:46:56.1970822Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_api_parity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:56.173616] 2022-11-23T01:47:08.4179358Z 2022-11-23T01:47:08.4180187Z Expand the folded group to see the log file of test_cpp_api_parity 2022-11-23T01:47:08.4181127Z ##[group]PRINTING LOG FILE of test_cpp_api_parity (/var/lib/jenkins/workspace/test/test-reports/test_cpp_api_parity_mjwje_jl) 2022-11-23T01:47:08.4181899Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:08.4182146Z 2022-11-23T01:47:08.4182239Z Running tests... 2022-11-23T01:47:08.4182689Z ---------------------------------------------------------------------- 2022-11-23T01:47:08.4183531Z Test results will be stored in test-reports/python-unittest/test_cpp_api_parity 2022-11-23T01:47:08.4184253Z test_torch_nn_AdaptiveAvgPool1d (__main__.TestCppApiParity) ... ok (0.032s) 2022-11-23T01:47:08.4263156Z test_torch_nn_AdaptiveAvgPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4263655Z test_torch_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4264279Z test_torch_nn_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4264923Z test_torch_nn_AdaptiveAvgPool1d_one_output (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4265281Z test_torch_nn_AdaptiveAvgPool1d_one_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4265646Z test_torch_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4266015Z test_torch_nn_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4266373Z test_torch_nn_AdaptiveAvgPool2d_single (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4268620Z test_torch_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4269158Z test_torch_nn_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4269684Z test_torch_nn_AdaptiveAvgPool2d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4270064Z test_torch_nn_AdaptiveAvgPool2d_tuple (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4270417Z test_torch_nn_AdaptiveAvgPool2d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4270771Z test_torch_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4271287Z test_torch_nn_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4271915Z test_torch_nn_AdaptiveAvgPool3d_last_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4272545Z test_torch_nn_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4273147Z test_torch_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4273695Z test_torch_nn_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4274055Z test_torch_nn_AdaptiveAvgPool3d_single (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4274402Z test_torch_nn_AdaptiveAvgPool3d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4274755Z test_torch_nn_AdaptiveAvgPool3d_tuple (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4275253Z test_torch_nn_AdaptiveAvgPool3d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4275615Z test_torch_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4275965Z test_torch_nn_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4276312Z test_torch_nn_AdaptiveMaxPool1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4276656Z test_torch_nn_AdaptiveMaxPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4277055Z test_torch_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4277420Z test_torch_nn_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4277866Z test_torch_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4278542Z test_torch_nn_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4279173Z test_torch_nn_AdaptiveMaxPool2d_single (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4279741Z test_torch_nn_AdaptiveMaxPool2d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4280429Z test_torch_nn_AdaptiveMaxPool2d_tuple (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4281074Z test_torch_nn_AdaptiveMaxPool2d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4281638Z test_torch_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4282256Z test_torch_nn_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4282918Z test_torch_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4283597Z test_torch_nn_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4284111Z test_torch_nn_AdaptiveMaxPool3d_single (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4284468Z test_torch_nn_AdaptiveMaxPool3d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4285014Z test_torch_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4285660Z test_torch_nn_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4286244Z test_torch_nn_AdaptiveMaxPool3d_tuple (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4286610Z test_torch_nn_AdaptiveMaxPool3d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4286972Z test_torch_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T01:47:08.4287346Z test_torch_nn_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4287698Z test_torch_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestCppApiParity) ... ok (0.018s) 2022-11-23T01:47:08.4288056Z test_torch_nn_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4288531Z test_torch_nn_AvgPool1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4289122Z test_torch_nn_AvgPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4289638Z test_torch_nn_AvgPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4289979Z test_torch_nn_AvgPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4290310Z test_torch_nn_AvgPool1d_stride (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4290710Z test_torch_nn_AvgPool1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4291046Z test_torch_nn_AvgPool1d_stride_pad (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4291386Z test_torch_nn_AvgPool1d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4291707Z test_torch_nn_AvgPool2d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4292011Z test_torch_nn_AvgPool2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4292379Z test_torch_nn_AvgPool2d_divisor (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4292806Z test_torch_nn_AvgPool2d_divisor_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4293329Z test_torch_nn_AvgPool2d_divisor_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4293934Z test_torch_nn_AvgPool2d_divisor_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4294579Z test_torch_nn_AvgPool2d_divisor_stride_pad (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4295155Z test_torch_nn_AvgPool2d_divisor_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4295697Z test_torch_nn_AvgPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4296335Z test_torch_nn_AvgPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4296686Z test_torch_nn_AvgPool2d_stride (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4297018Z test_torch_nn_AvgPool2d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4297339Z test_torch_nn_AvgPool2d_stride_pad (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4297678Z test_torch_nn_AvgPool2d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4298002Z test_torch_nn_AvgPool3d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4298311Z test_torch_nn_AvgPool3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4298633Z test_torch_nn_AvgPool3d_divisor (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4298967Z test_torch_nn_AvgPool3d_divisor_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4299307Z test_torch_nn_AvgPool3d_divisor_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4299632Z test_torch_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4300009Z test_torch_nn_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4300394Z test_torch_nn_AvgPool3d_divisor_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4300741Z test_torch_nn_AvgPool3d_divisor_stride_pad (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4301080Z test_torch_nn_AvgPool3d_divisor_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4301449Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4301839Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4302219Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4302609Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4302998Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4303438Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4303792Z test_torch_nn_AvgPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4304134Z test_torch_nn_AvgPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4304467Z test_torch_nn_AvgPool3d_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4304786Z test_torch_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4305172Z test_torch_nn_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4305535Z test_torch_nn_AvgPool3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4305864Z test_torch_nn_AvgPool3d_stride_pad (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4306204Z test_torch_nn_AvgPool3d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4306547Z test_torch_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4306920Z test_torch_nn_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4307295Z test_torch_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4307660Z test_torch_nn_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4308035Z test_torch_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4308414Z test_torch_nn_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4308754Z test_torch_nn_BCELoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4309057Z test_torch_nn_BCELoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4309395Z test_torch_nn_BCELoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4309762Z test_torch_nn_BCELoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4310115Z test_torch_nn_BCELoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4310464Z test_torch_nn_BCELoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4310819Z test_torch_nn_BCELoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4311174Z test_torch_nn_BCELoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4311501Z test_torch_nn_BCELoss_scalar_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4311844Z test_torch_nn_BCELoss_scalar_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4312173Z test_torch_nn_BCELoss_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4312500Z test_torch_nn_BCELoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4312818Z test_torch_nn_BCEWithLogitsLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4313164Z test_torch_nn_BCEWithLogitsLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4313536Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4313918Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4314288Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4314701Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4315089Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4315472Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4315828Z test_torch_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4316234Z test_torch_nn_BCEWithLogitsLoss_scalar_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4316592Z test_torch_nn_BCEWithLogitsLoss_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4316936Z test_torch_nn_BCEWithLogitsLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4317280Z test_torch_nn_BatchNorm1d_3d_input (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4317618Z test_torch_nn_BatchNorm1d_3d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4317960Z test_torch_nn_BatchNorm1d_3d_input_not_affine (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4318306Z test_torch_nn_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4318648Z test_torch_nn_BatchNorm1d_affine (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4319086Z test_torch_nn_BatchNorm1d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4319432Z test_torch_nn_BatchNorm1d_affine_simple_average (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4319785Z test_torch_nn_BatchNorm1d_affine_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4320136Z test_torch_nn_BatchNorm1d_not_affine (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4320478Z test_torch_nn_BatchNorm1d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4320811Z test_torch_nn_BatchNorm1d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4321166Z test_torch_nn_BatchNorm1d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4321515Z test_torch_nn_BatchNorm1d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4321856Z test_torch_nn_BatchNorm1d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4322174Z test_torch_nn_BatchNorm2d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4322483Z test_torch_nn_BatchNorm2d_2d_simple_average (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4322840Z test_torch_nn_BatchNorm2d_2d_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4323199Z test_torch_nn_BatchNorm2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4323513Z test_torch_nn_BatchNorm2d_momentum (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4323850Z test_torch_nn_BatchNorm2d_momentum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4324183Z test_torch_nn_BatchNorm2d_not_affine (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4324513Z test_torch_nn_BatchNorm2d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4324987Z test_torch_nn_BatchNorm2d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4325349Z test_torch_nn_BatchNorm2d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4325691Z test_torch_nn_BatchNorm2d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4326116Z test_torch_nn_BatchNorm2d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4326443Z test_torch_nn_BatchNorm3d (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4326755Z test_torch_nn_BatchNorm3d_3d_simple_average (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4327098Z test_torch_nn_BatchNorm3d_3d_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4327581Z test_torch_nn_BatchNorm3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4327897Z test_torch_nn_BatchNorm3d_momentum (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4328232Z test_torch_nn_BatchNorm3d_momentum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4328567Z test_torch_nn_BatchNorm3d_not_affine (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4328906Z test_torch_nn_BatchNorm3d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4329239Z test_torch_nn_BatchNorm3d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4329597Z test_torch_nn_BatchNorm3d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4329939Z test_torch_nn_BatchNorm3d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4330280Z test_torch_nn_BatchNorm3d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4330583Z test_torch_nn_CELU (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4330883Z test_torch_nn_CELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4331189Z test_torch_nn_CELU_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4331497Z test_torch_nn_CELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4331839Z test_torch_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4332205Z test_torch_nn_CTCLoss_2d_int_target_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4332556Z test_torch_nn_CTCLoss_2d_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4332890Z test_torch_nn_CTCLoss_2d_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4333230Z test_torch_nn_CTCLoss_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4333571Z test_torch_nn_CTCLoss_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4333896Z test_torch_nn_ConstantPad1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4334189Z test_torch_nn_ConstantPad1d_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4334532Z test_torch_nn_ConstantPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4334870Z test_torch_nn_ConstantPad1d_complex (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4335204Z test_torch_nn_ConstantPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4335565Z test_torch_nn_ConstantPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4335889Z test_torch_nn_ConstantPad2d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4336197Z test_torch_nn_ConstantPad2d_complex (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4336528Z test_torch_nn_ConstantPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4336890Z test_torch_nn_ConstantPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4337255Z test_torch_nn_ConstantPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4337594Z test_torch_nn_ConstantPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4337928Z test_torch_nn_ConstantPad3d (__main__.TestCppApiParity) ... ok (0.034s) 2022-11-23T01:47:08.4338234Z test_torch_nn_ConstantPad3d_complex (__main__.TestCppApiParity) ... ok (0.043s) 2022-11-23T01:47:08.4338609Z test_torch_nn_ConstantPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4338957Z test_torch_nn_ConstantPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4339291Z test_torch_nn_ConstantPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.022s) 2022-11-23T01:47:08.4339638Z test_torch_nn_ConstantPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4339965Z test_torch_nn_Conv1d (__main__.TestCppApiParity) ... ok (0.032s) 2022-11-23T01:47:08.4340254Z test_torch_nn_Conv1d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4340604Z test_torch_nn_Conv1d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4340954Z test_torch_nn_Conv1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4341254Z test_torch_nn_Conv1d_dilated (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4341580Z test_torch_nn_Conv1d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4341895Z test_torch_nn_Conv1d_groups (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4342214Z test_torch_nn_Conv1d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4342516Z test_torch_nn_Conv1d_pad1 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4342835Z test_torch_nn_Conv1d_pad1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4343154Z test_torch_nn_Conv1d_pad1size1 (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4343540Z test_torch_nn_Conv1d_pad1size1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4344047Z test_torch_nn_Conv1d_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4344485Z test_torch_nn_Conv1d_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4345071Z test_torch_nn_Conv1d_pad2size1 (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4345536Z test_torch_nn_Conv1d_pad2size1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4345858Z test_torch_nn_Conv1d_pad_same (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4347304Z test_torch_nn_Conv1d_pad_same2 (__main__.TestCppApiParity) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T01:47:08.4348307Z return F.conv1d(input, weight, bias, self.stride, 2022-11-23T01:47:08.4348618Z ok (0.013s) 2022-11-23T01:47:08.4349032Z test_torch_nn_Conv1d_pad_same2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4349613Z test_torch_nn_Conv1d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4350156Z test_torch_nn_Conv1d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4350691Z test_torch_nn_Conv1d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4351236Z test_torch_nn_Conv1d_pad_valid (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4351839Z test_torch_nn_Conv1d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4352396Z test_torch_nn_Conv1d_reflect_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4352951Z test_torch_nn_Conv1d_reflect_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4353552Z test_torch_nn_Conv1d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4354282Z test_torch_nn_Conv1d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4354813Z test_torch_nn_Conv1d_stride (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4355318Z test_torch_nn_Conv1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4355849Z test_torch_nn_Conv1d_zero_batch (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4356386Z test_torch_nn_Conv1d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4356985Z test_torch_nn_Conv1d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4357620Z test_torch_nn_Conv1d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4358101Z test_torch_nn_Conv2d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4358404Z test_torch_nn_Conv2d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4358822Z test_torch_nn_Conv2d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4359178Z test_torch_nn_Conv2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4359492Z test_torch_nn_Conv2d_depthwise (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4359821Z test_torch_nn_Conv2d_depthwise_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4360146Z test_torch_nn_Conv2d_depthwise_dilated (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4360493Z test_torch_nn_Conv2d_depthwise_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4360835Z test_torch_nn_Conv2d_depthwise_padded (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4361171Z test_torch_nn_Conv2d_depthwise_padded_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4361520Z test_torch_nn_Conv2d_depthwise_strided (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4361864Z test_torch_nn_Conv2d_depthwise_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4362216Z test_torch_nn_Conv2d_depthwise_with_multiplier (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4362563Z test_torch_nn_Conv2d_depthwise_with_multiplier_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4362909Z test_torch_nn_Conv2d_dilated (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4363233Z test_torch_nn_Conv2d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4363554Z test_torch_nn_Conv2d_groups (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4363863Z test_torch_nn_Conv2d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4364190Z test_torch_nn_Conv2d_groups_thnn (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4364519Z test_torch_nn_Conv2d_groups_thnn_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4364958Z test_torch_nn_Conv2d_no_bias (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4365284Z test_torch_nn_Conv2d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4365679Z test_torch_nn_Conv2d_pad_same (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4366008Z test_torch_nn_Conv2d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4366329Z test_torch_nn_Conv2d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4366673Z test_torch_nn_Conv2d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4367004Z test_torch_nn_Conv2d_pad_valid (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4367366Z test_torch_nn_Conv2d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4367682Z test_torch_nn_Conv2d_padding (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4368006Z test_torch_nn_Conv2d_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4368339Z test_torch_nn_Conv2d_reflect_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4368677Z test_torch_nn_Conv2d_reflect_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4369023Z test_torch_nn_Conv2d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4369377Z test_torch_nn_Conv2d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4369709Z test_torch_nn_Conv2d_strided (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4370022Z test_torch_nn_Conv2d_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4370342Z test_torch_nn_Conv2d_zero_batch (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4370664Z test_torch_nn_Conv2d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4370985Z test_torch_nn_Conv2d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4371329Z test_torch_nn_Conv2d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4371645Z test_torch_nn_Conv3d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4371936Z test_torch_nn_Conv3d_1x1x1_no_bias (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4372250Z test_torch_nn_Conv3d_1x1x1_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4372584Z test_torch_nn_Conv3d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4372936Z test_torch_nn_Conv3d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4373272Z test_torch_nn_Conv3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4373584Z test_torch_nn_Conv3d_dilated (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4373905Z test_torch_nn_Conv3d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4374234Z test_torch_nn_Conv3d_dilated_strided (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4374562Z test_torch_nn_Conv3d_dilated_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4374887Z test_torch_nn_Conv3d_groups (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4375210Z test_torch_nn_Conv3d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4375516Z test_torch_nn_Conv3d_no_bias (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4375834Z test_torch_nn_Conv3d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4376153Z test_torch_nn_Conv3d_pad_same (__main__.TestCppApiParity) ... ok (0.026s) 2022-11-23T01:47:08.4376476Z test_torch_nn_Conv3d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4376826Z test_torch_nn_Conv3d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.026s) 2022-11-23T01:47:08.4377168Z test_torch_nn_Conv3d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4377497Z test_torch_nn_Conv3d_pad_valid (__main__.TestCppApiParity) ... ok (0.017s) 2022-11-23T01:47:08.4377822Z test_torch_nn_Conv3d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4378148Z test_torch_nn_Conv3d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4378532Z test_torch_nn_Conv3d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4378862Z test_torch_nn_Conv3d_stride (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4379172Z test_torch_nn_Conv3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4379498Z test_torch_nn_Conv3d_stride_padding (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4379838Z test_torch_nn_Conv3d_stride_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4380167Z test_torch_nn_Conv3d_zero_batch (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4380483Z test_torch_nn_Conv3d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4380813Z test_torch_nn_Conv3d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4381161Z test_torch_nn_Conv3d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4381491Z test_torch_nn_ConvTranspose1d (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4382128Z test_torch_nn_ConvTranspose1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4382466Z test_torch_nn_ConvTranspose1d_dilated (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4382818Z test_torch_nn_ConvTranspose1d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4383150Z test_torch_nn_ConvTranspose1d_groups (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4383496Z test_torch_nn_ConvTranspose1d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4383836Z test_torch_nn_ConvTranspose1d_no_bias (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4384179Z test_torch_nn_ConvTranspose1d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4398203Z test_torch_nn_ConvTranspose2d (__main__.TestCppApiParity) ... ok (0.022s) 2022-11-23T01:47:08.4398555Z test_torch_nn_ConvTranspose2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4398978Z test_torch_nn_ConvTranspose2d_dilated (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4399344Z test_torch_nn_ConvTranspose2d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4399696Z test_torch_nn_ConvTranspose2d_groups (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4400039Z test_torch_nn_ConvTranspose2d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4400391Z test_torch_nn_ConvTranspose2d_no_bias (__main__.TestCppApiParity) ... ok (0.020s) 2022-11-23T01:47:08.4400737Z test_torch_nn_ConvTranspose2d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4401071Z test_torch_nn_ConvTranspose3d (__main__.TestCppApiParity) ... ok (0.018s) 2022-11-23T01:47:08.4401405Z test_torch_nn_ConvTranspose3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4401743Z test_torch_nn_ConvTranspose3d_dilated (__main__.TestCppApiParity) ... ok (0.022s) 2022-11-23T01:47:08.4402177Z test_torch_nn_ConvTranspose3d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4402512Z test_torch_nn_CosineEmbeddingLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4402915Z test_torch_nn_CosineEmbeddingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4403267Z test_torch_nn_CosineEmbeddingLoss_margin (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4403621Z test_torch_nn_CosineEmbeddingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4404030Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4404415Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4404897Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4405275Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4405652Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4406031Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4406383Z test_torch_nn_CrossEntropyLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4406692Z test_torch_nn_CrossEntropyLoss_2d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4407034Z test_torch_nn_CrossEntropyLoss_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4407384Z test_torch_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4407750Z test_torch_nn_CrossEntropyLoss_2d_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4408117Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4408510Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4408908Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4409315Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4409733Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4410147Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4410560Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4410958Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4411336Z test_torch_nn_CrossEntropyLoss_2d_prob_target (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4411702Z test_torch_nn_CrossEntropyLoss_2d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4412074Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4412447Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4412838Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4413247Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4413712Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4414100Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4414483Z test_torch_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4414864Z test_torch_nn_CrossEntropyLoss_2d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4415272Z test_torch_nn_CrossEntropyLoss_2d_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4415619Z test_torch_nn_CrossEntropyLoss_2d_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4415989Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4416375Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4416775Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4417176Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4417587Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4417998Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4418420Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4418851Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4419246Z test_torch_nn_CrossEntropyLoss_3d_prob_target (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4419608Z test_torch_nn_CrossEntropyLoss_3d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4419979Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4420354Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4420749Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4421164Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4421558Z test_torch_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4421924Z test_torch_nn_CrossEntropyLoss_3d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4422296Z test_torch_nn_CrossEntropyLoss_4d_prob_target (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4422664Z test_torch_nn_CrossEntropyLoss_4d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4423023Z test_torch_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4423403Z test_torch_nn_CrossEntropyLoss_4d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4423782Z test_torch_nn_CrossEntropyLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4424120Z test_torch_nn_CrossEntropyLoss_dim_is_3 (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4424486Z test_torch_nn_CrossEntropyLoss_dim_is_3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4424836Z test_torch_nn_CrossEntropyLoss_higher_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4425195Z test_torch_nn_CrossEntropyLoss_higher_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4425547Z test_torch_nn_CrossEntropyLoss_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4425921Z test_torch_nn_CrossEntropyLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4426259Z test_torch_nn_CrossMapLRN2d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4426585Z test_torch_nn_CrossMapLRN2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4426883Z test_torch_nn_ELU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4427185Z test_torch_nn_ELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4427490Z test_torch_nn_ELU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4427806Z test_torch_nn_ELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4428108Z test_torch_nn_Embedding (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4428422Z test_torch_nn_EmbeddingBag_discontiguous (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4428782Z test_torch_nn_EmbeddingBag_discontiguous_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4429112Z test_torch_nn_EmbeddingBag_max (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4429447Z test_torch_nn_EmbeddingBag_max_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4429789Z test_torch_nn_EmbeddingBag_max_padding_idx (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4430150Z test_torch_nn_EmbeddingBag_max_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4430479Z test_torch_nn_EmbeddingBag_mean (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4430814Z test_torch_nn_EmbeddingBag_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4431158Z test_torch_nn_EmbeddingBag_mean_padding_idx (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4431522Z test_torch_nn_EmbeddingBag_mean_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4431858Z test_torch_nn_EmbeddingBag_sparse (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4432198Z test_torch_nn_EmbeddingBag_sparse_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4432528Z test_torch_nn_EmbeddingBag_sum (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4432853Z test_torch_nn_EmbeddingBag_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4433193Z test_torch_nn_EmbeddingBag_sum_padding_idx (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4433555Z test_torch_nn_EmbeddingBag_sum_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4433910Z test_torch_nn_Embedding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4434228Z test_torch_nn_Embedding_discontiguous (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4434584Z test_torch_nn_Embedding_discontiguous_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4434918Z test_torch_nn_Embedding_sparse (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4435239Z test_torch_nn_Embedding_sparse_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4435558Z test_torch_nn_Flatten (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4435910Z test_torch_nn_Flatten_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4436234Z test_torch_nn_Flatten_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4436556Z test_torch_nn_Flatten_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4436871Z test_torch_nn_Fold (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4437206Z test_torch_nn_Fold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4437515Z test_torch_nn_Fold_int_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4437827Z test_torch_nn_Fold_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4438158Z test_torch_nn_Fold_no_batch_dim_input (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4438502Z test_torch_nn_Fold_no_batch_dim_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4438910Z test_torch_nn_Fold_no_batch_dim_int_input (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4439261Z test_torch_nn_Fold_no_batch_dim_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4439614Z test_torch_nn_FractionalMaxPool2d_ratio (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4439977Z test_torch_nn_FractionalMaxPool2d_ratio_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4440336Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4440726Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4441129Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4441558Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4441932Z test_torch_nn_FractionalMaxPool2d_size (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4442288Z test_torch_nn_FractionalMaxPool2d_size_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4442653Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4443023Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4443420Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4443846Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4444240Z test_torch_nn_FractionalMaxPool3d_asymsize (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T01:47:08.4444592Z test_torch_nn_FractionalMaxPool3d_asymsize_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4445090Z test_torch_nn_FractionalMaxPool3d_ratio (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4445453Z test_torch_nn_FractionalMaxPool3d_ratio_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4445825Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4446197Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4446595Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4447080Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4447468Z test_torch_nn_FractionalMaxPool3d_size (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T01:47:08.4447820Z test_torch_nn_FractionalMaxPool3d_size_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4448186Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4448607Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4449002Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4449411Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4449771Z test_torch_nn_GELU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4450072Z test_torch_nn_GELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4450372Z test_torch_nn_GELU_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4450693Z test_torch_nn_GELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4450999Z test_torch_nn_GLU (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4451299Z test_torch_nn_GLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4451587Z test_torch_nn_GLU_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4451894Z test_torch_nn_GLU_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4452212Z test_torch_nn_GroupNorm_1d_affine (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4452511Z test_torch_nn_GroupNorm_1d_affine_GN (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4452856Z test_torch_nn_GroupNorm_1d_affine_GN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4453216Z test_torch_nn_GroupNorm_1d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4453558Z test_torch_nn_GroupNorm_1d_affine_large_batch (__main__.TestCppApiParity) ... ok (0.020s) 2022-11-23T01:47:08.4453904Z test_torch_nn_GroupNorm_1d_affine_large_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4454254Z test_torch_nn_GroupNorm_1d_no_affine_IN (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4454598Z test_torch_nn_GroupNorm_1d_no_affine_IN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4454938Z test_torch_nn_GroupNorm_1d_no_affine_LN (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4455270Z test_torch_nn_GroupNorm_1d_no_affine_LN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4455605Z test_torch_nn_GroupNorm_2d_affine (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4455940Z test_torch_nn_GroupNorm_2d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4456273Z test_torch_nn_GroupNorm_2d_affine_large_feature (__main__.TestCppApiParity) ... ok (0.027s) 2022-11-23T01:47:08.4456640Z test_torch_nn_GroupNorm_2d_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4456989Z test_torch_nn_GroupNorm_2d_no_affine_IN (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4457330Z test_torch_nn_GroupNorm_2d_no_affine_IN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4457663Z test_torch_nn_GroupNorm_2d_no_affine_LN (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4458002Z test_torch_nn_GroupNorm_2d_no_affine_LN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4458387Z test_torch_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestCppApiParity) ... ok (0.020s) 2022-11-23T01:47:08.4458752Z test_torch_nn_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4459077Z test_torch_nn_Hardshrink (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4459398Z test_torch_nn_Hardshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4459749Z test_torch_nn_Hardshrink_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4460069Z test_torch_nn_Hardshrink_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4460390Z test_torch_nn_Hardtanh (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4460701Z test_torch_nn_Hardtanh_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4461021Z test_torch_nn_Hardtanh_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4461338Z test_torch_nn_Hardtanh_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4461677Z test_torch_nn_HingeEmbeddingLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4462022Z test_torch_nn_HingeEmbeddingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4462360Z test_torch_nn_HingeEmbeddingLoss_margin (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4462723Z test_torch_nn_HingeEmbeddingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4463108Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4463501Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4463881Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4464272Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4464662Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4465051Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4465413Z test_torch_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4465787Z test_torch_nn_HingeEmbeddingLoss_scalar_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4466125Z test_torch_nn_HuberLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4466440Z test_torch_nn_HuberLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4466749Z test_torch_nn_InstanceNorm1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4467087Z test_torch_nn_InstanceNorm1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4467426Z test_torch_nn_InstanceNorm1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4467769Z test_torch_nn_InstanceNorm1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4468122Z test_torch_nn_InstanceNorm1d_tracking_stats (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4468486Z test_torch_nn_InstanceNorm1d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4468857Z test_torch_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4469226Z test_torch_nn_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4469613Z test_torch_nn_InstanceNorm2d (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4469943Z test_torch_nn_InstanceNorm2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4470282Z test_torch_nn_InstanceNorm2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4470627Z test_torch_nn_InstanceNorm2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4471032Z test_torch_nn_InstanceNorm2d_tracking_stats (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4471395Z test_torch_nn_InstanceNorm2d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4471750Z test_torch_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4472135Z test_torch_nn_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4472490Z test_torch_nn_InstanceNorm3d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4472820Z test_torch_nn_InstanceNorm3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4473146Z test_torch_nn_InstanceNorm3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4473501Z test_torch_nn_InstanceNorm3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4473860Z test_torch_nn_InstanceNorm3d_tracking_stats (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4474221Z test_torch_nn_InstanceNorm3d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4474577Z test_torch_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4474964Z test_torch_nn_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4475967Z test_torch_nn_KLDivLoss (__main__.TestCppApiParity) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:47:08.4476511Z warnings.warn( 2022-11-23T01:47:08.4477385Z /var/lib/jenkins/workspace/test/cpp_api_parity/module_impl_check.py:149: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/api/include/torch/nn/functional/loss.h:57.) 2022-11-23T01:47:08.4478067Z cpp_test_fn(arg_dict_file_path, module_file_path, forward_output_file_path, backward_grad_dict_file_path) 2022-11-23T01:47:08.4478330Z ok (0.008s) 2022-11-23T01:47:08.4478590Z test_torch_nn_KLDivLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4478993Z test_torch_nn_KLDivLoss_log_target (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4479338Z test_torch_nn_KLDivLoss_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4479675Z test_torch_nn_KLDivLoss_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4480011Z test_torch_nn_KLDivLoss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4480338Z test_torch_nn_KLDivLoss_scalar_log_target (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4480692Z test_torch_nn_KLDivLoss_scalar_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4481058Z test_torch_nn_L1Loss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4481368Z test_torch_nn_L1Loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4481667Z test_torch_nn_L1Loss_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4481990Z test_torch_nn_L1Loss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4482305Z test_torch_nn_LPPool1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4482643Z test_torch_nn_LPPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4482968Z test_torch_nn_LPPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4483311Z test_torch_nn_LPPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4483637Z test_torch_nn_LPPool1d_norm (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4483954Z test_torch_nn_LPPool1d_norm_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4484269Z test_torch_nn_LPPool2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4484580Z test_torch_nn_LPPool2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4485016Z test_torch_nn_LPPool2d_norm (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4485342Z test_torch_nn_LPPool2d_norm_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4485688Z test_torch_nn_LayerNorm_1d_elementwise_affine (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4486055Z test_torch_nn_LayerNorm_1d_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4486412Z test_torch_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4486792Z test_torch_nn_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4487157Z test_torch_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4487524Z test_torch_nn_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4487878Z test_torch_nn_LayerNorm_3d_elementwise_affine (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4488245Z test_torch_nn_LayerNorm_3d_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4488604Z test_torch_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestCppApiParity) ... ok (0.056s) 2022-11-23T01:47:08.4488958Z test_torch_nn_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4489320Z test_torch_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4489684Z test_torch_nn_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4490022Z test_torch_nn_LeakyReLU (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4490330Z test_torch_nn_LeakyReLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4490656Z test_torch_nn_LeakyReLU_with_negval (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4491003Z test_torch_nn_LeakyReLU_with_negval_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4491346Z test_torch_nn_LeakyReLU_with_negval_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4491686Z test_torch_nn_LeakyReLU_with_negval_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4492039Z test_torch_nn_LeakyReLU_with_zero_negval (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4492453Z test_torch_nn_LeakyReLU_with_zero_negval_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4492768Z test_torch_nn_Linear (__main__.TestCppApiParity) ... ok (0.094s) 2022-11-23T01:47:08.4493079Z test_torch_nn_Linear_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4493400Z test_torch_nn_Linear_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4493736Z test_torch_nn_Linear_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4494090Z test_torch_nn_Linear_no_bias (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4494414Z test_torch_nn_Linear_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4494750Z test_torch_nn_LocalResponseNorm_1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4495085Z test_torch_nn_LocalResponseNorm_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4495449Z test_torch_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4495816Z test_torch_nn_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4496185Z test_torch_nn_LocalResponseNorm_3d_custom_params (__main__.TestCppApiParity) ... ok (0.028s) 2022-11-23T01:47:08.4496544Z test_torch_nn_LocalResponseNorm_3d_custom_params_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4496896Z test_torch_nn_LogSigmoid (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4497217Z test_torch_nn_LogSigmoid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4497529Z test_torch_nn_LogSigmoid_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4497860Z test_torch_nn_LogSigmoid_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4498183Z test_torch_nn_LogSoftmax (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4498500Z test_torch_nn_LogSoftmax_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4498817Z test_torch_nn_LogSoftmax_multiparam (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4499164Z test_torch_nn_LogSoftmax_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4499514Z test_torch_nn_LogSoftmax_multiparam_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4499855Z test_torch_nn_LogSoftmax_multiparam_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4500203Z test_torch_nn_LogSoftmax_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4500547Z test_torch_nn_LogSoftmax_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4500869Z test_torch_nn_MSELoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4501164Z test_torch_nn_MSELoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4501477Z test_torch_nn_MSELoss_prec (__main__.TestCppApiParity) ... ok (0.029s) 2022-11-23T01:47:08.4501798Z test_torch_nn_MSELoss_prec_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4502101Z test_torch_nn_MSELoss_scalar (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4502429Z test_torch_nn_MSELoss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4502759Z test_torch_nn_MarginRankingLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4503106Z test_torch_nn_MarginRankingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4503438Z test_torch_nn_MarginRankingLoss_margin (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4503825Z test_torch_nn_MarginRankingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4504189Z test_torch_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4504560Z test_torch_nn_MarginRankingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4504921Z test_torch_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4505322Z test_torch_nn_MarginRankingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4505688Z test_torch_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4506044Z test_torch_nn_MarginRankingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4506379Z test_torch_nn_MaxPool1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4506699Z test_torch_nn_MaxPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4507022Z test_torch_nn_MaxPool1d_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4507342Z test_torch_nn_MaxPool1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4507668Z test_torch_nn_MaxPool2d_3d_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4508007Z test_torch_nn_MaxPool2d_3d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4508327Z test_torch_nn_MaxPool2d_4d_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4508658Z test_torch_nn_MaxPool2d_4d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4508976Z test_torch_nn_MaxPool3d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4509292Z test_torch_nn_MaxPool3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4509603Z test_torch_nn_MaxPool3d_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4509933Z test_torch_nn_MaxPool3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4510268Z test_torch_nn_MaxPool3d_stride_padding (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4510618Z test_torch_nn_MaxPool3d_stride_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4510930Z test_torch_nn_Mish (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4511237Z test_torch_nn_Mish_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4511545Z test_torch_nn_Mish_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4511856Z test_torch_nn_Mish_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4512196Z test_torch_nn_MultiLabelMarginLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4512524Z test_torch_nn_MultiLabelMarginLoss_1d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4512885Z test_torch_nn_MultiLabelMarginLoss_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4513255Z test_torch_nn_MultiLabelMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4513627Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4514014Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4514388Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4514772Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4515203Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4515589Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4515945Z test_torch_nn_MultiLabelSoftMarginLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4516318Z test_torch_nn_MultiLabelSoftMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4516744Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4517150Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4517537Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4517945Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4518339Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4518735Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4519192Z test_torch_nn_MultiLabelSoftMarginLoss_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4519579Z test_torch_nn_MultiLabelSoftMarginLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4519934Z test_torch_nn_MultiMarginLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4520231Z test_torch_nn_MultiMarginLoss_1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4520572Z test_torch_nn_MultiMarginLoss_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4520936Z test_torch_nn_MultiMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4521277Z test_torch_nn_MultiMarginLoss_margin (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4521614Z test_torch_nn_MultiMarginLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4521954Z test_torch_nn_MultiMarginLoss_p (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4522292Z test_torch_nn_MultiMarginLoss_p_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4522635Z test_torch_nn_MultiMarginLoss_weights (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4522977Z test_torch_nn_MultiMarginLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4523301Z test_torch_nn_NLLLoss (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4523586Z test_torch_nn_NLLLoss_2d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4523891Z test_torch_nn_NLLLoss_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4524215Z test_torch_nn_NLLLoss_2d_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4524557Z test_torch_nn_NLLLoss_2d_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4525192Z test_torch_nn_NLLLoss_2d_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4525519Z test_torch_nn_NLLLoss_2d_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4525868Z test_torch_nn_NLLLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4526184Z test_torch_nn_NLLLoss_dim_is_3 (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4526500Z test_torch_nn_NLLLoss_dim_is_3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4526898Z test_torch_nn_NLLLoss_higher_dim (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4527241Z test_torch_nn_NLLLoss_higher_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4527574Z test_torch_nn_NLLLoss_ignore_index (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4527898Z test_torch_nn_NLLLoss_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4528255Z test_torch_nn_NLLLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.012s) 2022-11-23T01:47:08.4528665Z test_torch_nn_NLLLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4529024Z test_torch_nn_NLLLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.010s) 2022-11-23T01:47:08.4529370Z test_torch_nn_NLLLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4529734Z test_torch_nn_NLLLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.010s) 2022-11-23T01:47:08.4530094Z test_torch_nn_NLLLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4530415Z test_torch_nn_NLLLoss_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4530747Z test_torch_nn_NLLLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4531088Z test_torch_nn_NLLLoss_weights_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4531442Z test_torch_nn_NLLLoss_weights_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4531787Z test_torch_nn_NLLLoss_weights_ignore_index_neg (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4532148Z test_torch_nn_NLLLoss_weights_ignore_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4532482Z test_torch_nn_PReLU_1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4532794Z test_torch_nn_PReLU_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4533104Z test_torch_nn_PReLU_1d_multiparam (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4533443Z test_torch_nn_PReLU_1d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4533764Z test_torch_nn_PReLU_2d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4534066Z test_torch_nn_PReLU_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4534386Z test_torch_nn_PReLU_2d_multiparam (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4534729Z test_torch_nn_PReLU_2d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4535052Z test_torch_nn_PReLU_3d (__main__.TestCppApiParity) ... ok (0.017s) 2022-11-23T01:47:08.4535350Z test_torch_nn_PReLU_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4535671Z test_torch_nn_PReLU_3d_multiparam (__main__.TestCppApiParity) ... ok (0.017s) 2022-11-23T01:47:08.4536011Z test_torch_nn_PReLU_3d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4536325Z test_torch_nn_PReLU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4536645Z test_torch_nn_PReLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4536973Z test_torch_nn_PairwiseDistance (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4537300Z test_torch_nn_PairwiseDistance_broadcast_lhs (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4537660Z test_torch_nn_PairwiseDistance_broadcast_lhs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4538023Z test_torch_nn_PairwiseDistance_broadcast_rhs (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4538432Z test_torch_nn_PairwiseDistance_broadcast_rhs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4538812Z test_torch_nn_PairwiseDistance_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4539146Z test_torch_nn_PairwiseDistance_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4539507Z test_torch_nn_PairwiseDistance_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4539908Z test_torch_nn_PairwiseDistance_with_non_default_args (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4540279Z test_torch_nn_PairwiseDistance_with_non_default_args_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4540625Z test_torch_nn_PixelShuffle (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4540956Z test_torch_nn_PixelShuffle_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4541283Z test_torch_nn_PixelUnshuffle (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4541606Z test_torch_nn_PixelUnshuffle_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4541947Z test_torch_nn_PoissonNLLLoss_full_loss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4542296Z test_torch_nn_PoissonNLLLoss_full_loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4542643Z test_torch_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4543012Z test_torch_nn_PoissonNLLLoss_full_loss_no_log_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4543377Z test_torch_nn_PoissonNLLLoss_no_full_loss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4543731Z test_torch_nn_PoissonNLLLoss_no_full_loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4544084Z test_torch_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4544458Z test_torch_nn_PoissonNLLLoss_no_full_loss_no_log_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4544795Z test_torch_nn_RReLU (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4545110Z test_torch_nn_RReLU_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4545425Z test_torch_nn_RReLU_with_up_down (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4545763Z test_torch_nn_RReLU_with_up_down_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4546102Z test_torch_nn_RReLU_with_up_down_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4546457Z test_torch_nn_RReLU_with_up_down_scalar_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4546769Z test_torch_nn_ReLU (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4547046Z test_torch_nn_ReLU6 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4547351Z test_torch_nn_ReLU6_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4547653Z test_torch_nn_ReLU6_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4547976Z test_torch_nn_ReLU6_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4548314Z test_torch_nn_ReLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4548621Z test_torch_nn_ReLU_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4548929Z test_torch_nn_ReLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4549254Z test_torch_nn_ReflectionPad1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4549596Z test_torch_nn_ReflectionPad1d_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4549937Z test_torch_nn_ReflectionPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4550287Z test_torch_nn_ReflectionPad1d_complex (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4550643Z test_torch_nn_ReflectionPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4551110Z test_torch_nn_ReflectionPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4551427Z test_torch_nn_ReflectionPad2d (__main__.TestCppApiParity) ... ok (0.019s) 2022-11-23T01:47:08.4551744Z test_torch_nn_ReflectionPad2d_complex (__main__.TestCppApiParity) ... ok (0.027s) 2022-11-23T01:47:08.4552097Z test_torch_nn_ReflectionPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4552456Z test_torch_nn_ReflectionPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4552800Z test_torch_nn_ReflectionPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4553160Z test_torch_nn_ReflectionPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4553505Z test_torch_nn_ReflectionPad3d (__main__.TestCppApiParity) ... ok (0.031s) 2022-11-23T01:47:08.4553813Z test_torch_nn_ReflectionPad3d_complex (__main__.TestCppApiParity) ... ok (0.049s) 2022-11-23T01:47:08.4554165Z test_torch_nn_ReflectionPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4554531Z test_torch_nn_ReflectionPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4554873Z test_torch_nn_ReflectionPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.020s) 2022-11-23T01:47:08.4555220Z test_torch_nn_ReflectionPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4555562Z test_torch_nn_ReplicationPad1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4555880Z test_torch_nn_ReplicationPad1d_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4556223Z test_torch_nn_ReplicationPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4556572Z test_torch_nn_ReplicationPad1d_complex (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4556933Z test_torch_nn_ReplicationPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4557300Z test_torch_nn_ReplicationPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4557621Z test_torch_nn_ReplicationPad2d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4557939Z test_torch_nn_ReplicationPad2d_complex (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T01:47:08.4558296Z test_torch_nn_ReplicationPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4558656Z test_torch_nn_ReplicationPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4559105Z test_torch_nn_ReplicationPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4559473Z test_torch_nn_ReplicationPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4559820Z test_torch_nn_ReplicationPad3d (__main__.TestCppApiParity) ... ok (0.019s) 2022-11-23T01:47:08.4560130Z test_torch_nn_ReplicationPad3d_complex (__main__.TestCppApiParity) ... ok (0.029s) 2022-11-23T01:47:08.4560486Z test_torch_nn_ReplicationPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4560856Z test_torch_nn_ReplicationPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4561245Z test_torch_nn_ReplicationPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T01:47:08.4561596Z test_torch_nn_ReplicationPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4561922Z test_torch_nn_SELU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4562226Z test_torch_nn_SELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4562556Z test_torch_nn_SELU_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4562875Z test_torch_nn_SELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4563207Z test_torch_nn_SampleModule_has_parity (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4563556Z test_torch_nn_SampleModule_has_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4563905Z test_torch_nn_SampleModule_no_parity (__main__.TestCppApiParity) ... expected failure (0.011s) 2022-11-23T01:47:08.4564269Z test_torch_nn_SampleModule_no_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4564589Z test_torch_nn_SiLU (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4564973Z test_torch_nn_SiLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4565284Z test_torch_nn_SiLU_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4565611Z test_torch_nn_SiLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4565925Z test_torch_nn_Sigmoid (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4566225Z test_torch_nn_Sigmoid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4566538Z test_torch_nn_Sigmoid_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4566871Z test_torch_nn_Sigmoid_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4567181Z test_torch_nn_SmoothL1Loss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4567503Z test_torch_nn_SmoothL1Loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4567830Z test_torch_nn_SmoothL1Loss_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4568167Z test_torch_nn_SmoothL1Loss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4568487Z test_torch_nn_SoftMarginLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4568818Z test_torch_nn_SoftMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4569181Z test_torch_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4569562Z test_torch_nn_SoftMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4569926Z test_torch_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4570309Z test_torch_nn_SoftMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4570683Z test_torch_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T01:47:08.4571062Z test_torch_nn_SoftMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4571379Z test_torch_nn_Softmax (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4571667Z test_torch_nn_Softmax2d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T01:47:08.4571981Z test_torch_nn_Softmax2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4572295Z test_torch_nn_Softmax2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4572690Z test_torch_nn_Softmax2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4573043Z test_torch_nn_Softmax_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4573365Z test_torch_nn_Softmax_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4573688Z test_torch_nn_Softmax_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4574049Z test_torch_nn_Softmax_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4574377Z test_torch_nn_Softmax_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4574680Z test_torch_nn_Softmin (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4574990Z test_torch_nn_Softmin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4575311Z test_torch_nn_Softmin_multidim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4575642Z test_torch_nn_Softmin_multidim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4575964Z test_torch_nn_Softmin_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4576298Z test_torch_nn_Softmin_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4576622Z test_torch_nn_Softmin_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4576936Z test_torch_nn_Softmin_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4577252Z test_torch_nn_Softplus (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4577547Z test_torch_nn_Softplus_beta (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4577872Z test_torch_nn_Softplus_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4578195Z test_torch_nn_Softplus_beta_threshold (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4578543Z test_torch_nn_Softplus_beta_threshold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4578893Z test_torch_nn_Softplus_beta_threshold_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4579240Z test_torch_nn_Softplus_beta_threshold_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4579601Z test_torch_nn_Softplus_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4579913Z test_torch_nn_Softshrink (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4580230Z test_torch_nn_Softshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4580538Z test_torch_nn_Softshrink_lambda (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4580876Z test_torch_nn_Softshrink_lambda_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4581217Z test_torch_nn_Softshrink_lambda_scalar (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4581560Z test_torch_nn_Softshrink_lambda_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4581871Z test_torch_nn_Softsign (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4582183Z test_torch_nn_Softsign_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4582503Z test_torch_nn_Softsign_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4582818Z test_torch_nn_Softsign_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4583129Z test_torch_nn_Tanh (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4583432Z test_torch_nn_Tanh_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4583774Z test_torch_nn_Tanh_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4584081Z test_torch_nn_Tanh_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4584399Z test_torch_nn_Tanhshrink (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4584715Z test_torch_nn_Tanhshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4585023Z test_torch_nn_Tanhshrink_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4585386Z test_torch_nn_Tanhshrink_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4585717Z test_torch_nn_Threshold_large_value (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4586058Z test_torch_nn_Threshold_large_value_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4586390Z test_torch_nn_Threshold_threshold_value (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4586741Z test_torch_nn_Threshold_threshold_value_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4587094Z test_torch_nn_Threshold_threshold_value_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4587456Z test_torch_nn_Threshold_threshold_value_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4587827Z test_torch_nn_TransformerDecoderLayer_gelu_activation (__main__.TestCppApiParity) ... ok (0.052s) 2022-11-23T01:47:08.4588230Z test_torch_nn_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4588626Z test_torch_nn_TransformerDecoderLayer_relu_activation (__main__.TestCppApiParity) ... ok (0.051s) 2022-11-23T01:47:08.4589010Z test_torch_nn_TransformerDecoderLayer_relu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4589415Z test_torch_nn_TransformerEncoderLayer_gelu_activation (__main__.TestCppApiParity) ... ok (0.037s) 2022-11-23T01:47:08.4589812Z test_torch_nn_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4590202Z test_torch_nn_TransformerEncoderLayer_relu_activation (__main__.TestCppApiParity) ... ok (0.038s) 2022-11-23T01:47:08.4590587Z test_torch_nn_TransformerEncoderLayer_relu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4590962Z test_torch_nn_Transformer_multilayer_coder (__main__.TestCppApiParity) ... ok (0.157s) 2022-11-23T01:47:08.4591318Z test_torch_nn_Transformer_multilayer_coder_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4591681Z test_torch_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4592046Z test_torch_nn_TripletMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4592419Z test_torch_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4592794Z test_torch_nn_TripletMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4593159Z test_torch_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4593516Z test_torch_nn_TripletMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4593866Z test_torch_nn_Unflatten_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4594208Z test_torch_nn_Unflatten_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4594515Z test_torch_nn_Unfold (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4594825Z test_torch_nn_Unfold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4595172Z test_torch_nn_Unfold_int_input (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4595502Z test_torch_nn_Unfold_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4595808Z test_torch_nn_ZeroPad2d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T01:47:08.4596107Z test_torch_nn_ZeroPad2d_complex (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4596445Z test_torch_nn_ZeroPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4596819Z test_torch_nn_ZeroPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4597151Z test_torch_nn_ZeroPad2d_negative_dims (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4597501Z test_torch_nn_ZeroPad2d_negative_dims_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4597845Z test_torch_nn_ZeroPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4598183Z test_torch_nn_ZeroPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4598530Z test_torch_nn_functional_BCELoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4598982Z test_torch_nn_functional_BCELoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4599343Z test_torch_nn_functional_BCELoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4599702Z test_torch_nn_functional_BCELoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4600073Z test_torch_nn_functional_BCELoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4600447Z test_torch_nn_functional_BCELoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4600815Z test_torch_nn_functional_BCELoss_weights_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4601198Z test_torch_nn_functional_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4601994Z test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum (__main__.TestCppApiParity) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:47:08.4602447Z warnings.warn(warning.format(ret)) 2022-11-23T01:47:08.4602631Z ok (0.006s) 2022-11-23T01:47:08.4602926Z test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4603311Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4603692Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4604067Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4604464Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4604983Z test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4605389Z test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4605771Z test_torch_nn_functional_HingeEmbeddingLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4606153Z test_torch_nn_functional_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4606518Z test_torch_nn_functional_HuberLoss_delta (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4606934Z test_torch_nn_functional_HuberLoss_delta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4607282Z test_torch_nn_functional_KLDivLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4607645Z test_torch_nn_functional_KLDivLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4608015Z test_torch_nn_functional_KLDivLoss_no_reduce_log_target (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4608425Z test_torch_nn_functional_KLDivLoss_no_reduce_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4608798Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4609175Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4609560Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4609943Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4610336Z test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4610729Z test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4611118Z test_torch_nn_functional_KLDivLoss_with_target_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4611488Z test_torch_nn_functional_KLDivLoss_with_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4611849Z test_torch_nn_functional_L1Loss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4612185Z test_torch_nn_functional_L1Loss_no_reduce_complex (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4612555Z test_torch_nn_functional_L1Loss_no_reduce_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4612927Z test_torch_nn_functional_L1Loss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4613280Z test_torch_nn_functional_L1Loss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4613645Z test_torch_nn_functional_L1Loss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4613999Z test_torch_nn_functional_MSELoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4614339Z test_torch_nn_functional_MSELoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4614695Z test_torch_nn_functional_MSELoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4615068Z test_torch_nn_functional_MSELoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4615440Z test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4615839Z test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4616236Z test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4616635Z test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4617017Z test_torch_nn_functional_MultiLabelMarginLoss_index_neg (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4617411Z test_torch_nn_functional_MultiLabelMarginLoss_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4617838Z test_torch_nn_functional_MultiLabelMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4618237Z test_torch_nn_functional_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4618626Z test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4619037Z test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4619489Z test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4619917Z test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4620354Z test_torch_nn_functional_MultiMarginLoss_1d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4620738Z test_torch_nn_functional_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4621125Z test_torch_nn_functional_MultiMarginLoss_margin_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4621515Z test_torch_nn_functional_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4621880Z test_torch_nn_functional_MultiMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4622258Z test_torch_nn_functional_MultiMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4622633Z test_torch_nn_functional_MultiMarginLoss_p_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4623003Z test_torch_nn_functional_MultiMarginLoss_p_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4623392Z test_torch_nn_functional_MultiMarginLoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4623785Z test_torch_nn_functional_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4624159Z test_torch_nn_functional_NLLLoss2d_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4624510Z test_torch_nn_functional_NLLLoss2d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4624882Z test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4625272Z test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4625649Z test_torch_nn_functional_NLLLoss2d_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4626017Z test_torch_nn_functional_NLLLoss2d_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4626379Z test_torch_nn_functional_NLLLossNd_no_reduce (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4626739Z test_torch_nn_functional_NLLLossNd_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4627105Z test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4627475Z test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4627853Z test_torch_nn_functional_NLLLossNd_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4628231Z test_torch_nn_functional_NLLLossNd_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4628597Z test_torch_nn_functional_NLLLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4628989Z test_torch_nn_functional_NLLLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4629361Z test_torch_nn_functional_NLLLoss_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4629741Z test_torch_nn_functional_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4630099Z test_torch_nn_functional_NLLLoss_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4630530Z test_torch_nn_functional_NLLLoss_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4630911Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4631306Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4631689Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4632093Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4632479Z test_torch_nn_functional_Padding122112_3dcircular (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4632849Z test_torch_nn_functional_Padding122112_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4633200Z test_torch_nn_functional_Padding1221_2dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4633569Z test_torch_nn_functional_Padding1221_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4633928Z test_torch_nn_functional_Padding12_1dcircular (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4634294Z test_torch_nn_functional_Padding12_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4634640Z test_torch_nn_functional_Padding2322_2dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4635000Z test_torch_nn_functional_Padding2322_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4635358Z test_torch_nn_functional_Padding31_1dcircular (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4635726Z test_torch_nn_functional_Padding31_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4636072Z test_torch_nn_functional_Padding322112_3dcircular (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4636439Z test_torch_nn_functional_Padding322112_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4636800Z test_torch_nn_functional_Padding332122_3dcircular (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4637150Z test_torch_nn_functional_Padding332122_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4637512Z test_torch_nn_functional_Padding3331_2dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4637880Z test_torch_nn_functional_Padding3331_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4638240Z test_torch_nn_functional_Padding33_1dcircular (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4638591Z test_torch_nn_functional_Padding33_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4639057Z test_torch_nn_functional_PoissonNLLLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4639430Z test_torch_nn_functional_PoissonNLLLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4639839Z test_torch_nn_functional_SmoothL1Loss_beta (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4640185Z test_torch_nn_functional_SmoothL1Loss_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4640543Z test_torch_nn_functional_SmoothL1Loss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4640907Z test_torch_nn_functional_SmoothL1Loss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4641299Z test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4641678Z test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4642044Z test_torch_nn_functional_SmoothL1Loss_zero_beta (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4642406Z test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4642761Z test_torch_nn_functional_SoftMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4643140Z test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4643509Z test_torch_nn_functional_interpolate_bicubic_2d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4643874Z test_torch_nn_functional_interpolate_bicubic_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4644239Z test_torch_nn_functional_interpolate_bicubic_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4644621Z test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4645132Z test_torch_nn_functional_interpolate_bicubic_scale_2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4645515Z test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4645895Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4646298Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4646696Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4647092Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4647508Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4647946Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4648334Z test_torch_nn_functional_interpolate_bicubic_tuple_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4648699Z test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4649091Z test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4649504Z test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4649868Z test_torch_nn_functional_interpolate_bilinear_2d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4650231Z test_torch_nn_functional_interpolate_bilinear_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4650592Z test_torch_nn_functional_interpolate_bilinear_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4651024Z test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4651402Z test_torch_nn_functional_interpolate_bilinear_scale_2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4651767Z test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4652195Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4652601Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4653004Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4653385Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4653816Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4654023Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4654192Z test_torch_nn_functional_interpolate_bilinear_tuple_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4654373Z test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4654584Z test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4654776Z test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4654937Z test_torch_nn_functional_interpolate_linear_1d (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4655099Z test_torch_nn_functional_interpolate_linear_1d_align_corners (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4655300Z test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4655484Z test_torch_nn_functional_interpolate_linear_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4655654Z test_torch_nn_functional_interpolate_linear_1d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4655846Z test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4656009Z test_torch_nn_functional_interpolate_linear_scale_1d (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4656189Z test_torch_nn_functional_interpolate_linear_scale_1d_align_corners (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4656394Z test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4656585Z test_torch_nn_functional_interpolate_linear_scale_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4656747Z test_torch_nn_functional_interpolate_linear_tuple_1d (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4656929Z test_torch_nn_functional_interpolate_linear_tuple_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4657086Z test_torch_nn_functional_interpolate_nearest_1d (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4657272Z test_torch_nn_functional_interpolate_nearest_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4657474Z test_torch_nn_functional_interpolate_nearest_1d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4657671Z test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4657830Z test_torch_nn_functional_interpolate_nearest_2d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4658016Z test_torch_nn_functional_interpolate_nearest_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4658225Z test_torch_nn_functional_interpolate_nearest_2d_launch_configs (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4658428Z test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4658583Z test_torch_nn_functional_interpolate_nearest_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4658781Z test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4658939Z test_torch_nn_functional_interpolate_nearest_3d (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4659122Z test_torch_nn_functional_interpolate_nearest_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4659291Z test_torch_nn_functional_interpolate_nearest_3d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4659484Z test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4659651Z test_torch_nn_functional_interpolate_nearest_scale_1d (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4659841Z test_torch_nn_functional_interpolate_nearest_scale_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4660006Z test_torch_nn_functional_interpolate_nearest_scale_2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T01:47:08.4660199Z test_torch_nn_functional_interpolate_nearest_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4660353Z test_torch_nn_functional_interpolate_nearest_scale_3d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4660544Z test_torch_nn_functional_interpolate_nearest_scale_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4660706Z test_torch_nn_functional_interpolate_nearest_tuple_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4660898Z test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4661067Z test_torch_nn_functional_interpolate_nearest_tuple_2d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4661258Z test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4661424Z test_torch_nn_functional_interpolate_nearest_tuple_3d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T01:47:08.4661614Z test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4661774Z test_torch_nn_functional_interpolate_trilinear_3d (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4661948Z test_torch_nn_functional_interpolate_trilinear_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4662120Z test_torch_nn_functional_interpolate_trilinear_3d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4662320Z test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4662486Z test_torch_nn_functional_interpolate_trilinear_scale_3d (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4662697Z test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T01:47:08.4662908Z test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4663100Z test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4663266Z test_torch_nn_functional_interpolate_trilinear_tuple_3d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T01:47:08.4663482Z test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T01:47:08.4663680Z test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4663873Z test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4664027Z test_torch_nn_functional_log_softmax_dim0 (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4664206Z test_torch_nn_functional_log_softmax_dim0_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4664356Z test_torch_nn_functional_log_softmax_dim3 (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4664535Z test_torch_nn_functional_log_softmax_dim3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4664692Z test_torch_nn_functional_log_softmax_lastdim (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4664874Z test_torch_nn_functional_log_softmax_lastdim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4665026Z test_torch_nn_functional_log_softmax_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4665196Z test_torch_nn_functional_log_softmax_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4665351Z test_torch_nn_functional_log_softmax_spatial (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4665534Z test_torch_nn_functional_log_softmax_spatial_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4665697Z test_torch_nn_functional_log_softmax_spatial_special (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4665888Z test_torch_nn_functional_log_softmax_spatial_special_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4666072Z test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4666280Z test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4666445Z test_torch_nn_functional_sample_functional_has_parity (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4666641Z test_torch_nn_functional_sample_functional_has_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4666823Z test_torch_nn_functional_sample_functional_no_parity (__main__.TestCppApiParity) ... expected failure (0.004s) 2022-11-23T01:47:08.4667004Z test_torch_nn_functional_sample_functional_no_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4667165Z test_torch_nn_functional_softmax_functional_dim0 (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4667362Z test_torch_nn_functional_softmax_functional_dim0_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4667524Z test_torch_nn_functional_softmax_functional_dim3 (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4667715Z test_torch_nn_functional_softmax_functional_dim3_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4667906Z test_torch_nn_functional_softmax_functional_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T01:47:08.4668105Z test_torch_nn_functional_softmax_functional_scalar_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4668255Z test_torch_nn_functional_softmax_lastdim (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4668435Z test_torch_nn_functional_softmax_lastdim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4668616Z test_torch_nn_functional_softmax_lastdim_dtype (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4668807Z test_torch_nn_functional_softmax_lastdim_dtype_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4668956Z test_torch_nn_functional_softmax_spatial (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4669135Z test_torch_nn_functional_softmax_spatial_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4669296Z test_torch_nn_functional_softmax_spatial_dtype (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T01:47:08.4669486Z test_torch_nn_functional_softmax_spatial_dtype_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T01:47:08.4669645Z test_torch_nn_functional_softmax_spatial_special (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T01:47:08.4669833Z test_torch_nn_functional_softmax_spatial_special_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:47:08.4669846Z 2022-11-23T01:47:08.4670103Z ---------------------------------------------------------------------- 2022-11-23T01:47:08.4670170Z Ran 1100 tests in 5.795s 2022-11-23T01:47:08.4670188Z 2022-11-23T01:47:08.4670272Z OK (skipped=550, expected failures=17) 2022-11-23T01:47:08.4670277Z 2022-11-23T01:47:08.4670362Z Generating XML reports... 2022-11-23T01:47:08.4670679Z Generated XML report: test-reports/python-unittest/test_cpp_api_parity/TEST-TestCppApiParity-20221123014702.xml 2022-11-23T01:47:08.4670687Z 2022-11-23T01:47:08.4671085Z ##[endgroup] 2022-11-23T01:47:08.4671380Z FINISHED PRINTING LOG FILE of test_cpp_api_parity (/var/lib/jenkins/workspace/test/test-reports/test_cpp_api_parity_mjwje_jl) 2022-11-23T01:47:08.4671384Z 2022-11-23T01:47:08.4671573Z Running test_cpp_extensions_aot_ninja ... [2022-11-23 01:47:08.420567] 2022-11-23T01:47:10.0330054Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:10.1309227Z running install 2022-11-23T01:47:10.1309924Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T01:47:10.1310307Z warnings.warn( 2022-11-23T01:47:10.1403059Z running build 2022-11-23T01:47:10.1403303Z running build_py 2022-11-23T01:47:10.1448137Z creating build 2022-11-23T01:47:10.1448757Z creating build/lib.linux-x86_64-cpython-310 2022-11-23T01:47:10.1449417Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2022-11-23T01:47:10.1449964Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2022-11-23T01:47:10.1451065Z running build_ext 2022-11-23T01:47:10.1766050Z building 'torch_test_cpp_extension.cpp' extension 2022-11-23T01:47:10.1766686Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310 2022-11-23T01:47:10.2066762Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/build.ninja... 2022-11-23T01:47:10.2067111Z Compiling objects... 2022-11-23T01:47:10.2067329Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:47:11.1183813Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:11.1185549Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:14:0, 2022-11-23T01:47:11.1186045Z from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2022-11-23T01:47:11.1186466Z from /opt/conda/lib/python3.10/site-packages/torch/include/torch/extension.h:6, 2022-11-23T01:47:11.1186792Z from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1: 2022-11-23T01:47:11.1189229Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2022-11-23T01:47:11.1189642Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:36:53: required from here 2022-11-23T01:47:11.1190458Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than the type of its field ‘pybind11::class_::’ [-Wattributes] 2022-11-23T01:47:11.1190914Z class class_ : public detail::generic_type { 2022-11-23T01:47:11.1191114Z ^~~~~~ 2022-11-23T01:47:11.1191744Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2022-11-23T01:47:11.1277463Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so 2022-11-23T01:47:11.4908333Z building 'torch_test_cpp_extension.ort' extension 2022-11-23T01:47:11.5204093Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/build.ninja... 2022-11-23T01:47:11.5211000Z Compiling objects... 2022-11-23T01:47:11.5211492Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:47:12.4282024Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/ort_extension.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/ort_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:12.4329640Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/ort_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so 2022-11-23T01:47:12.7561718Z building 'torch_test_cpp_extension.rng' extension 2022-11-23T01:47:12.7863510Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/build.ninja... 2022-11-23T01:47:12.7863851Z Compiling objects... 2022-11-23T01:47:12.7864082Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:47:13.7888436Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:13.7890012Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0, 2022-11-23T01:47:13.7890449Z from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2022-11-23T01:47:13.7890946Z from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2022-11-23T01:47:13.7891398Z from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8, 2022-11-23T01:47:13.7891760Z from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6: 2022-11-23T01:47:13.7892248Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2022-11-23T01:47:13.7892550Z # pragma unroll 2022-11-23T01:47:13.7892701Z 2022-11-23T01:47:13.7937332Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so 2022-11-23T01:47:14.1522485Z running install_lib 2022-11-23T01:47:14.1571250Z creating install 2022-11-23T01:47:14.1571541Z creating install/opt 2022-11-23T01:47:14.1571979Z creating install/opt/conda 2022-11-23T01:47:14.1572230Z creating install/opt/conda/lib 2022-11-23T01:47:14.1572633Z creating install/opt/conda/lib/python3.10 2022-11-23T01:47:14.1573157Z creating install/opt/conda/lib/python3.10/site-packages 2022-11-23T01:47:14.1574076Z creating install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:14.1575182Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:14.1575838Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:14.1636328Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:14.1699520Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:14.1768020Z byte-compiling ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-310.pyc 2022-11-23T01:47:14.1768643Z running install_egg_info 2022-11-23T01:47:14.1886949Z running egg_info 2022-11-23T01:47:14.1887312Z creating torch_test_cpp_extension.egg-info 2022-11-23T01:47:14.1924566Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2022-11-23T01:47:14.1926776Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2022-11-23T01:47:14.1928811Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2022-11-23T01:47:14.1929709Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T01:47:14.1969049Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T01:47:14.1974448Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T01:47:14.1975086Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info 2022-11-23T01:47:14.1979039Z running install_scripts 2022-11-23T01:47:16.1472998Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:16.1697484Z running install 2022-11-23T01:47:16.1698555Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T01:47:16.1699030Z warnings.warn( 2022-11-23T01:47:16.1791017Z running build 2022-11-23T01:47:16.1791214Z running build_ext 2022-11-23T01:47:16.2100814Z building 'no_python_abi_suffix_test' extension 2022-11-23T01:47:16.2101140Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build 2022-11-23T01:47:16.2101712Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310 2022-11-23T01:47:16.2402834Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/build.ninja... 2022-11-23T01:47:16.2403277Z Compiling objects... 2022-11-23T01:47:16.2403509Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:47:16.3043549Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:16.3086098Z creating build/lib.linux-x86_64-cpython-310 2022-11-23T01:47:16.3088035Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so 2022-11-23T01:47:16.3710033Z running install_lib 2022-11-23T01:47:16.3753564Z creating install 2022-11-23T01:47:16.3753837Z creating install/opt 2022-11-23T01:47:16.3754099Z creating install/opt/conda 2022-11-23T01:47:16.3754546Z creating install/opt/conda/lib 2022-11-23T01:47:16.3754828Z creating install/opt/conda/lib/python3.10 2022-11-23T01:47:16.3755358Z creating install/opt/conda/lib/python3.10/site-packages 2022-11-23T01:47:16.3755834Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.10/site-packages 2022-11-23T01:47:16.3760453Z running install_egg_info 2022-11-23T01:47:16.3864296Z running egg_info 2022-11-23T01:47:16.3864663Z creating no_python_abi_suffix_test.egg-info 2022-11-23T01:47:16.3901981Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2022-11-23T01:47:16.3903788Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2022-11-23T01:47:16.3905840Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2022-11-23T01:47:16.3906698Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T01:47:16.3946217Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T01:47:16.3951391Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T01:47:16.3952487Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info 2022-11-23T01:47:16.3956303Z running install_scripts 2022-11-23T01:47:16.7381765Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:16.737773] 2022-11-23T01:47:19.0959961Z 2022-11-23T01:47:19.0961045Z Expand the folded group to see the log file of test_cpp_extensions_aot_ninja 2022-11-23T01:47:19.0962174Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_ninja_614lizn3) 2022-11-23T01:47:19.0962941Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:19.0963164Z 2022-11-23T01:47:19.0963273Z Running tests... 2022-11-23T01:47:19.0963752Z ---------------------------------------------------------------------- 2022-11-23T01:47:19.0964453Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_ninja 2022-11-23T01:47:19.0965103Z test_backward (__main__.TestCppExtensionAOT) ... ok (0.011s) 2022-11-23T01:47:19.0965592Z test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:19.0966131Z test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:19.0966646Z test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:19.0967183Z test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:19.0967691Z test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:19.0968173Z test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:19.0968693Z test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:19.0969192Z test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:19.0969834Z test_add (__main__.TestORTTensor) ... ok (0.002s) 2022-11-23T01:47:19.0970250Z test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s) 2022-11-23T01:47:19.0970695Z test_unregistered (__main__.TestORTTensor) ... ok (0.006s) 2022-11-23T01:47:19.0971101Z test_zeros (__main__.TestORTTensor) ... ok (0.001s) 2022-11-23T01:47:19.0971476Z test_rng (__main__.TestRNGExtension) ... ok (0.003s) 2022-11-23T01:47:19.0972003Z test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s) 2022-11-23T01:47:19.0972307Z 2022-11-23T01:47:19.0972660Z ---------------------------------------------------------------------- 2022-11-23T01:47:19.0973040Z Ran 15 tests in 0.031s 2022-11-23T01:47:19.0973211Z 2022-11-23T01:47:19.0973317Z OK (skipped=5) 2022-11-23T01:47:19.0973483Z 2022-11-23T01:47:19.0973621Z Generating XML reports... 2022-11-23T01:47:19.0974362Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestCppExtensionAOT-20221123014718.xml 2022-11-23T01:47:19.0975265Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestORTTensor-20221123014718.xml 2022-11-23T01:47:19.0976171Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestRNGExtension-20221123014718.xml 2022-11-23T01:47:19.0977073Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestTorchLibrary-20221123014718.xml 2022-11-23T01:47:19.0977476Z 2022-11-23T01:47:19.0977878Z ##[endgroup] 2022-11-23T01:47:19.0978561Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_ninja_614lizn3) 2022-11-23T01:47:19.0978966Z 2022-11-23T01:47:19.0979292Z Running test_cpp_extensions_aot_no_ninja ... [2022-11-23 01:47:19.096262] 2022-11-23T01:47:20.6850518Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:20.7841145Z running install 2022-11-23T01:47:20.7841882Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T01:47:20.7842269Z warnings.warn( 2022-11-23T01:47:20.7935107Z running build 2022-11-23T01:47:20.7935346Z running build_py 2022-11-23T01:47:20.7978707Z creating build 2022-11-23T01:47:20.7979189Z creating build/lib.linux-x86_64-cpython-310 2022-11-23T01:47:20.7979769Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2022-11-23T01:47:20.7980299Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension 2022-11-23T01:47:20.7982334Z running build_ext 2022-11-23T01:47:20.7996343Z building 'torch_test_cpp_extension.cpp' extension 2022-11-23T01:47:20.7996951Z creating build/temp.linux-x86_64-cpython-310 2022-11-23T01:47:20.7999869Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:21.6611238Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:14:0, 2022-11-23T01:47:21.6611782Z from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2022-11-23T01:47:21.6612431Z from /opt/conda/lib/python3.10/site-packages/torch/include/torch/extension.h:6, 2022-11-23T01:47:21.6612724Z from extension.cpp:1: 2022-11-23T01:47:21.6613306Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2022-11-23T01:47:21.6613637Z extension.cpp:36:53: required from here 2022-11-23T01:47:21.6614327Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than the type of its field ‘pybind11::class_::’ [-Wattributes] 2022-11-23T01:47:21.6614872Z class class_ : public detail::generic_type { 2022-11-23T01:47:21.6615076Z ^~~~~~ 2022-11-23T01:47:21.6615661Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2022-11-23T01:47:21.6618709Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so 2022-11-23T01:47:22.0137654Z building 'torch_test_cpp_extension.ort' extension 2022-11-23T01:47:22.0140498Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-310/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:22.8870397Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/ort_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so 2022-11-23T01:47:23.2109893Z building 'torch_test_cpp_extension.rng' extension 2022-11-23T01:47:23.2111524Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T01:47:24.1751602Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0, 2022-11-23T01:47:24.1752455Z from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2022-11-23T01:47:24.1753401Z from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2022-11-23T01:47:24.1753898Z from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8, 2022-11-23T01:47:24.1754185Z from rng_extension.cpp:6: 2022-11-23T01:47:24.1754623Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2022-11-23T01:47:24.1754927Z # pragma unroll 2022-11-23T01:47:24.1755143Z 2022-11-23T01:47:24.1758967Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so 2022-11-23T01:47:24.5371387Z running install_lib 2022-11-23T01:47:24.5418993Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:24.5490299Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:24.5563734Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension 2022-11-23T01:47:24.5643715Z running install_egg_info 2022-11-23T01:47:24.5785784Z running egg_info 2022-11-23T01:47:24.5822332Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2022-11-23T01:47:24.5836094Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2022-11-23T01:47:24.5843770Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2022-11-23T01:47:24.5897552Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T01:47:24.5903461Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T01:47:24.5910155Z removing './install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info' (and everything under it) 2022-11-23T01:47:24.5912242Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info 2022-11-23T01:47:24.5915902Z running install_scripts 2022-11-23T01:47:26.5363543Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:26.5595230Z running install 2022-11-23T01:47:26.5596527Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T01:47:26.5597045Z warnings.warn( 2022-11-23T01:47:26.5689840Z running build 2022-11-23T01:47:26.5690199Z running build_ext 2022-11-23T01:47:26.6003483Z building 'no_python_abi_suffix_test' extension 2022-11-23T01:47:26.6303327Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/build.ninja... 2022-11-23T01:47:26.6325266Z Compiling objects... 2022-11-23T01:47:26.6325815Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:47:26.6591898Z ninja: no work to do. 2022-11-23T01:47:26.6632029Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so 2022-11-23T01:47:26.7247593Z running install_lib 2022-11-23T01:47:26.7291681Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.10/site-packages 2022-11-23T01:47:26.7296124Z running install_egg_info 2022-11-23T01:47:26.7402657Z running egg_info 2022-11-23T01:47:26.7440026Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2022-11-23T01:47:26.7453494Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2022-11-23T01:47:26.7461395Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2022-11-23T01:47:26.7514766Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T01:47:26.7520360Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T01:47:26.7528591Z removing './install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info' (and everything under it) 2022-11-23T01:47:26.7530363Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info 2022-11-23T01:47:26.7533997Z running install_scripts 2022-11-23T01:47:27.1063234Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:27.105926] 2022-11-23T01:47:29.4570660Z 2022-11-23T01:47:29.4571179Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja 2022-11-23T01:47:29.4572191Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_hy6hj_u7) 2022-11-23T01:47:29.4572994Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:47:29.4573151Z 2022-11-23T01:47:29.4573254Z Running tests... 2022-11-23T01:47:29.4573709Z ---------------------------------------------------------------------- 2022-11-23T01:47:29.4574243Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja 2022-11-23T01:47:29.4574623Z test_backward (__main__.TestCppExtensionAOT) ... ok (0.011s) 2022-11-23T01:47:29.4574935Z test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:29.4575306Z test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:29.4575748Z test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:29.4576290Z test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T01:47:29.4576635Z test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:29.4576989Z test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:29.4577309Z test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:29.4577627Z test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T01:47:29.4577891Z test_add (__main__.TestORTTensor) ... ok (0.001s) 2022-11-23T01:47:29.4578142Z test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s) 2022-11-23T01:47:29.4578416Z test_unregistered (__main__.TestORTTensor) ... ok (0.006s) 2022-11-23T01:47:29.4578667Z test_zeros (__main__.TestORTTensor) ... ok (0.001s) 2022-11-23T01:47:29.4578911Z test_rng (__main__.TestRNGExtension) ... ok (0.003s) 2022-11-23T01:47:29.4579180Z test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s) 2022-11-23T01:47:29.4579360Z 2022-11-23T01:47:29.4579580Z ---------------------------------------------------------------------- 2022-11-23T01:47:29.4579821Z Ran 15 tests in 0.030s 2022-11-23T01:47:29.4579935Z 2022-11-23T01:47:29.4579994Z OK (skipped=5) 2022-11-23T01:47:29.4580099Z 2022-11-23T01:47:29.4580184Z Generating XML reports... 2022-11-23T01:47:29.4580651Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123014728.xml 2022-11-23T01:47:29.4581407Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123014728.xml 2022-11-23T01:47:29.4581959Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123014728.xml 2022-11-23T01:47:29.4582508Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123014728.xml 2022-11-23T01:47:29.4582809Z 2022-11-23T01:47:29.4583070Z ##[endgroup] 2022-11-23T01:47:29.4583499Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_hy6hj_u7) 2022-11-23T01:47:29.4583747Z 2022-11-23T01:47:29.4583923Z Running test_cpp_extensions_jit ... [2022-11-23 01:47:29.457252] 2022-11-23T01:47:29.4584404Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:29.457498] 2022-11-23T01:48:01.6131373Z 2022-11-23T01:48:01.6131798Z Expand the folded group to see the log file of test_cpp_extensions_jit 2022-11-23T01:48:01.6138738Z ##[group]PRINTING LOG FILE of test_cpp_extensions_jit (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_jit_o71bh50k) 2022-11-23T01:48:01.6139396Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:48:01.6139681Z 2022-11-23T01:48:01.6140349Z Running tests... 2022-11-23T01:48:01.6141052Z ---------------------------------------------------------------------- 2022-11-23T01:48:01.6141780Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_jit 2022-11-23T01:48:01.6142354Z test_autograd_from_cpp (__main__.TestCppExtensionJIT) ... ok (1.412s) 2022-11-23T01:48:01.6143001Z test_compilation_error_formatting (__main__.TestCppExtensionJIT) ... ok (14.504s) 2022-11-23T01:48:01.6143759Z test_cpp_frontend_module_has_same_output_as_python (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6144475Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/cpp_frontend_extension... 2022-11-23T01:48:01.6145131Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/cpp_frontend_extension/build.ninja... 2022-11-23T01:48:01.6145680Z Building extension module cpp_frontend_extension... 2022-11-23T01:48:01.6146137Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6148542Z [1/2] c++ -MMD -MF cpp_frontend_extension.o.d -DTORCH_EXTENSION_NAME=cpp_frontend_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/workspace/test/cpp_extensions/cpp_frontend_extension.cpp -o cpp_frontend_extension.o 2022-11-23T01:48:01.6150527Z [2/2] c++ cpp_frontend_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o cpp_frontend_extension.so 2022-11-23T01:48:01.6151156Z Loading extension module cpp_frontend_extension... 2022-11-23T01:48:01.6151519Z ok (1.332s) 2022-11-23T01:48:01.6152088Z test_cpp_frontend_module_has_up_to_date_attributes (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6153000Z No modifications detected for re-loaded extension module cpp_frontend_extension, skipping build step... 2022-11-23T01:48:01.6153555Z Loading extension module cpp_frontend_extension... 2022-11-23T01:48:01.6153918Z ok (0.003s) 2022-11-23T01:48:01.6154739Z test_cpp_frontend_module_python_inter_op (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6155679Z No modifications detected for re-loaded extension module cpp_frontend_extension, skipping build step... 2022-11-23T01:48:01.6156235Z Loading extension module cpp_frontend_extension... 2022-11-23T01:48:01.6156610Z ok (0.009s) 2022-11-23T01:48:01.6157206Z test_cpp_frontend_module_python_inter_op_with_cuda (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s) 2022-11-23T01:48:01.6157954Z test_custom_compound_op_autograd (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6158805Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module... 2022-11-23T01:48:01.6159452Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/build.ninja... 2022-11-23T01:48:01.6160011Z Building extension module is_python_module... 2022-11-23T01:48:01.6160443Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6162811Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=is_python_module -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/main.cpp -o main.o 2022-11-23T01:48:01.6164676Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o is_python_module.so 2022-11-23T01:48:01.6165505Z Loading extension module is_python_module... 2022-11-23T01:48:01.6166683Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:48:01.6167467Z warnings.warn( 2022-11-23T01:48:01.6168570Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:48:01.6169313Z warnings.warn( 2022-11-23T01:48:01.6170425Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:48:01.6171171Z warnings.warn( 2022-11-23T01:48:01.6172268Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T01:48:01.6172983Z warnings.warn( 2022-11-23T01:48:01.6173280Z ok (1.253s) 2022-11-23T01:48:01.6173610Z test_half_support (__main__.TestCppExtensionJIT) 2022-11-23T01:48:01.6174169Z Checks for an issue with operator< ambiguity for half when certain ... skip: Temporarily disabled (0.001s) 2022-11-23T01:48:01.6174832Z test_inline_jit_compile_custom_op_cuda (__main__.TestCppExtensionJIT) ... skip: Temporarily disabled (0.001s) 2022-11-23T01:48:01.6175505Z test_inline_jit_compile_extension_cuda (__main__.TestCppExtensionJIT) ... skip: Temporarily disabled (0.001s) 2022-11-23T01:48:01.6176517Z test_inline_jit_compile_extension_multiple_sources_and_no_functions (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6177343Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension... 2022-11-23T01:48:01.6177976Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension/build.ninja... 2022-11-23T01:48:01.6178630Z Building extension module inline_jit_extension... 2022-11-23T01:48:01.6179074Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6181451Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension/main.cpp -o main.o 2022-11-23T01:48:01.6183289Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension.so 2022-11-23T01:48:01.6183907Z Loading extension module inline_jit_extension... 2022-11-23T01:48:01.6184262Z ok (1.234s) 2022-11-23T01:48:01.6184727Z test_inline_jit_compile_extension_throws_when_functions_is_bad (__main__.TestCppExtensionJIT) ... ok (0.001s) 2022-11-23T01:48:01.6185513Z test_inline_jit_compile_extension_with_functions_as_dict (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6186349Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_dict... 2022-11-23T01:48:01.6187099Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_dict/build.ninja... 2022-11-23T01:48:01.6187685Z Building extension module inline_jit_extension_with_functions_dict... 2022-11-23T01:48:01.6188170Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6190615Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension_with_functions_dict -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_dict/main.cpp -o main.o 2022-11-23T01:48:01.6192566Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension_with_functions_dict.so 2022-11-23T01:48:01.6193172Z Loading extension module inline_jit_extension_with_functions_dict... 2022-11-23T01:48:01.6193560Z ok (1.239s) 2022-11-23T01:48:01.6194207Z test_inline_jit_compile_extension_with_functions_as_list (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6195030Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_list... 2022-11-23T01:48:01.6195743Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_list/build.ninja... 2022-11-23T01:48:01.6196445Z Building extension module inline_jit_extension_with_functions_list... 2022-11-23T01:48:01.6196926Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6199500Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension_with_functions_list -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_list/main.cpp -o main.o 2022-11-23T01:48:01.6201660Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension_with_functions_list.so 2022-11-23T01:48:01.6202348Z Loading extension module inline_jit_extension_with_functions_list... 2022-11-23T01:48:01.6202743Z ok (1.227s) 2022-11-23T01:48:01.6203320Z test_jit_compile_extension (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6204022Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/jit_extension... 2022-11-23T01:48:01.6204639Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/jit_extension/build.ninja... 2022-11-23T01:48:01.6205306Z Building extension module jit_extension... 2022-11-23T01:48:01.6205733Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6208283Z [1/3] c++ -MMD -MF jit_extension2.o.d -DTORCH_EXTENSION_NAME=jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/jit_extension2.cpp -o jit_extension2.o 2022-11-23T01:48:01.6211983Z [2/3] c++ -MMD -MF jit_extension.o.d -DTORCH_EXTENSION_NAME=jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/jit_extension.cpp -o jit_extension.o 2022-11-23T01:48:01.6214110Z [3/3] c++ jit_extension.o jit_extension2.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o jit_extension.so 2022-11-23T01:48:01.6214737Z Loading extension module jit_extension... 2022-11-23T01:48:01.6215060Z ok (1.518s) 2022-11-23T01:48:01.6215509Z test_jit_cuda_archflags (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s) 2022-11-23T01:48:01.6216107Z test_jit_cuda_extension (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.000s) 2022-11-23T01:48:01.6216699Z test_jit_cudnn_extension (__main__.TestCppExtensionJIT) ... skip: CuDNN not found (0.001s) 2022-11-23T01:48:01.6217564Z test_lenient_flag_handling_in_jit_extensions (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6218335Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/lenient_flag_handling_extension... 2022-11-23T01:48:01.6219025Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/lenient_flag_handling_extension/build.ninja... 2022-11-23T01:48:01.6219638Z Building extension module lenient_flag_handling_extension... 2022-11-23T01:48:01.6220184Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6222749Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=lenient_flag_handling_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -O0 -Wall -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/lenient_flag_handling_extension/main.cpp -o main.o 2022-11-23T01:48:01.6224826Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o lenient_flag_handling_extension.so 2022-11-23T01:48:01.6225505Z Loading extension module lenient_flag_handling_extension... 2022-11-23T01:48:01.6225881Z ok (1.291s) 2022-11-23T01:48:01.6227322Z test_reload_jit_extension (__main__.TestCppExtensionJIT) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80933 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:48:01.6228575Z test_returns_shared_library_path_when_is_python_module_is_true (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6229628Z The input conditions for extension module is_python_module have changed. Bumping to version 1 and re-building as is_python_module_v1... 2022-11-23T01:48:01.6230334Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/build.ninja... 2022-11-23T01:48:01.6230874Z Building extension module is_python_module_v1... 2022-11-23T01:48:01.6231361Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6233677Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=is_python_module_v1 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/main.cpp -o main.o 2022-11-23T01:48:01.6235581Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o is_python_module_v1.so 2022-11-23T01:48:01.6236203Z Loading extension module is_python_module_v1... 2022-11-23T01:48:01.6236541Z ok (1.307s) 2022-11-23T01:48:01.6237158Z test_set_default_type_also_changes_aten_default_type (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:01.6237932Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/test_set_default_type... 2022-11-23T01:48:01.6238785Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/test_set_default_type/build.ninja... 2022-11-23T01:48:01.6239307Z Building extension module test_set_default_type... 2022-11-23T01:48:01.6239756Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:01.6242168Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=test_set_default_type -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/test_set_default_type/main.cpp -o main.o 2022-11-23T01:48:01.6244208Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o test_set_default_type.so 2022-11-23T01:48:01.6244990Z Loading extension module test_set_default_type... 2022-11-23T01:48:01.6245327Z ok (1.246s) 2022-11-23T01:48:01.6245837Z test_warning (__main__.TestCppExtensionJIT) ... [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T01:48:01.6246443Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T01:48:01.6246949Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T01:48:01.6247442Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T01:48:01.6248089Z UserWarning: Error with torch.DoubleTensor (Triggered internally at /var/lib/jenkins/.cache/torch_extensions/py310_cu117/warn_mod/main.cpp:12.) 2022-11-23T01:48:01.6248621Z ok (2.503s) 2022-11-23T01:48:01.6248792Z 2022-11-23T01:48:01.6249147Z ---------------------------------------------------------------------- 2022-11-23T01:48:01.6249565Z Ran 23 tests in 30.100s 2022-11-23T01:48:01.6249753Z 2022-11-23T01:48:01.6249870Z OK (skipped=8) 2022-11-23T01:48:01.6250047Z 2022-11-23T01:48:01.6250174Z Generating XML reports... 2022-11-23T01:48:01.6250949Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_jit/TEST-TestCppExtensionJIT-20221123014731.xml 2022-11-23T01:48:01.6251380Z 2022-11-23T01:48:01.6251880Z ##[endgroup] 2022-11-23T01:48:01.6252622Z FINISHED PRINTING LOG FILE of test_cpp_extensions_jit (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_jit_o71bh50k) 2022-11-23T01:48:01.6253005Z 2022-11-23T01:48:01.6253394Z Running test_cpp_extensions_open_device_registration ... [2022-11-23 01:48:01.613294] 2022-11-23T01:48:01.6254395Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_open_device_registration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:01.613520] 2022-11-23T01:48:05.3182851Z 2022-11-23T01:48:05.3183444Z Expand the folded group to see the log file of test_cpp_extensions_open_device_registration 2022-11-23T01:48:05.3184610Z ##[group]PRINTING LOG FILE of test_cpp_extensions_open_device_registration (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_open_device_registration_zvfh41p2) 2022-11-23T01:48:05.3185293Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:48:05.3185459Z 2022-11-23T01:48:05.3185535Z Running tests... 2022-11-23T01:48:05.3185955Z ---------------------------------------------------------------------- 2022-11-23T01:48:05.3186437Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_open_device_registration 2022-11-23T01:48:05.3186998Z test_open_device_registration (__main__.TestCppExtensionOpenRgistration) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:05.3187586Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/custom_device_extension... 2022-11-23T01:48:05.3188205Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/custom_device_extension/build.ninja... 2022-11-23T01:48:05.3188533Z Building extension module custom_device_extension... 2022-11-23T01:48:05.3188780Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:05.3190286Z [1/2] c++ -MMD -MF open_registration_extension.o.d -DTORCH_EXTENSION_NAME=custom_device_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension.cpp -o open_registration_extension.o 2022-11-23T01:48:05.3191580Z [2/2] c++ open_registration_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o custom_device_extension.so 2022-11-23T01:48:05.3191952Z Loading extension module custom_device_extension... 2022-11-23T01:48:05.3201899Z ok (1.656s) 2022-11-23T01:48:05.3202026Z 2022-11-23T01:48:05.3202299Z ---------------------------------------------------------------------- 2022-11-23T01:48:05.3202549Z Ran 1 test in 1.658s 2022-11-23T01:48:05.3202650Z 2022-11-23T01:48:05.3202712Z OK 2022-11-23T01:48:05.3202803Z 2022-11-23T01:48:05.3202892Z Generating XML reports... 2022-11-23T01:48:05.3203423Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_open_device_registration/TEST-TestCppExtensionOpenRgistration-20221123014803.xml 2022-11-23T01:48:05.3203735Z 2022-11-23T01:48:05.3204007Z ##[endgroup] 2022-11-23T01:48:05.3204503Z FINISHED PRINTING LOG FILE of test_cpp_extensions_open_device_registration (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_open_device_registration_zvfh41p2) 2022-11-23T01:48:05.3204987Z 2022-11-23T01:48:05.3205169Z Running test_cuda ... [2022-11-23 01:48:05.318396] 2022-11-23T01:48:05.3205613Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:05.318623] 2022-11-23T01:48:07.0348276Z 2022-11-23T01:48:07.0348725Z Expand the folded group to see the log file of test_cuda 2022-11-23T01:48:07.0349708Z ##[group]PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_0_tyiafc) 2022-11-23T01:48:07.0350167Z CUDA not available, skipping tests 2022-11-23T01:48:07.0350367Z 2022-11-23T01:48:07.0350472Z Running tests... 2022-11-23T01:48:07.0351017Z ---------------------------------------------------------------------- 2022-11-23T01:48:07.0351277Z 2022-11-23T01:48:07.0351607Z ---------------------------------------------------------------------- 2022-11-23T01:48:07.0354037Z Ran 0 tests in 0.000s 2022-11-23T01:48:07.0354237Z 2022-11-23T01:48:07.0354358Z OK 2022-11-23T01:48:07.0354509Z 2022-11-23T01:48:07.0354670Z Generating XML reports... 2022-11-23T01:48:07.0355280Z Test results will be stored in test-reports/python-unittest/test_cuda 2022-11-23T01:48:07.0355566Z 2022-11-23T01:48:07.0356042Z ##[endgroup] 2022-11-23T01:48:07.0356582Z FINISHED PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_0_tyiafc) 2022-11-23T01:48:07.0356797Z 2022-11-23T01:48:07.0356985Z Running test_cuda_nvml_based_avail ... [2022-11-23 01:48:07.034832] 2022-11-23T01:48:07.0357512Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:07.035119] 2022-11-23T01:48:08.6707257Z 2022-11-23T01:48:08.6707948Z Expand the folded group to see the log file of test_cuda_nvml_based_avail 2022-11-23T01:48:08.6709215Z ##[group]PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_vt4up7q5) 2022-11-23T01:48:08.6709581Z CUDA not available, skipping tests 2022-11-23T01:48:08.6709717Z 2022-11-23T01:48:08.6709925Z ##[endgroup] 2022-11-23T01:48:08.6710506Z FINISHED PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_vt4up7q5) 2022-11-23T01:48:08.6710893Z 2022-11-23T01:48:08.6711122Z Running test_cuda_primary_ctx ... [2022-11-23 01:48:08.670729] 2022-11-23T01:48:08.6711917Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_primary_ctx.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:08.671008] 2022-11-23T01:48:10.3114964Z 2022-11-23T01:48:10.3115549Z Expand the folded group to see the log file of test_cuda_primary_ctx 2022-11-23T01:48:10.3116712Z ##[group]PRINTING LOG FILE of test_cuda_primary_ctx (/var/lib/jenkins/workspace/test/test-reports/test_cuda_primary_ctx_d5lmjqqi) 2022-11-23T01:48:10.3117209Z CUDA not available, skipping tests 2022-11-23T01:48:10.3117392Z 2022-11-23T01:48:10.3117757Z ##[endgroup] 2022-11-23T01:48:10.3118483Z FINISHED PRINTING LOG FILE of test_cuda_primary_ctx (/var/lib/jenkins/workspace/test/test-reports/test_cuda_primary_ctx_d5lmjqqi) 2022-11-23T01:48:10.3118708Z 2022-11-23T01:48:10.3118968Z Running test_cuda_trace ... [2022-11-23 01:48:10.311560] 2022-11-23T01:48:10.3120084Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_trace.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:10.311802] 2022-11-23T01:48:11.9384530Z 2022-11-23T01:48:11.9385036Z Expand the folded group to see the log file of test_cuda_trace 2022-11-23T01:48:11.9385721Z ##[group]PRINTING LOG FILE of test_cuda_trace (/var/lib/jenkins/workspace/test/test-reports/test_cuda_trace_hm7699m1) 2022-11-23T01:48:11.9386079Z CUDA not available, skipping tests 2022-11-23T01:48:11.9386215Z 2022-11-23T01:48:11.9386441Z ##[endgroup] 2022-11-23T01:48:11.9386929Z FINISHED PRINTING LOG FILE of test_cuda_trace (/var/lib/jenkins/workspace/test/test-reports/test_cuda_trace_hm7699m1) 2022-11-23T01:48:11.9387147Z 2022-11-23T01:48:11.9387321Z Running test_dispatch ... [2022-11-23 01:48:11.938557] 2022-11-23T01:48:11.9390256Z Executing ['/opt/conda/bin/python', '-bb', 'test_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:11.938817] 2022-11-23T01:48:36.9377362Z 2022-11-23T01:48:36.9377831Z Expand the folded group to see the log file of test_dispatch 2022-11-23T01:48:36.9379103Z ##[group]PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_2dimap3n) 2022-11-23T01:48:36.9379601Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:48:36.9379808Z 2022-11-23T01:48:36.9381362Z Running tests... 2022-11-23T01:48:36.9381942Z ---------------------------------------------------------------------- 2022-11-23T01:48:36.9382555Z Test results will be stored in test-reports/python-unittest/test_dispatch 2022-11-23T01:48:36.9382997Z test_all_invariants (__main__.TestDispatch) ... ok (0.245s) 2022-11-23T01:48:36.9383390Z test_computed_table (__main__.TestDispatch) ... ok (7.039s) 2022-11-23T01:48:36.9383810Z test_computed_table_with_ambiguous_autogradother (__main__.TestDispatch) ... ok (0.011s) 2022-11-23T01:48:36.9384135Z test_computed_table_with_autograd (__main__.TestDispatch) ... ok (0.002s) 2022-11-23T01:48:36.9384461Z test_computed_table_with_cpu_autograd_defaultbackend (__main__.TestDispatch) ... ok (0.195s) 2022-11-23T01:48:36.9384833Z test_computed_table_with_cpu_autograd_math (__main__.TestDispatch) ... ok (0.209s) 2022-11-23T01:48:36.9385202Z test_computed_table_with_cpu_autograd_math_defaultbackend (__main__.TestDispatch) ... ok (6.614s) 2022-11-23T01:48:36.9385662Z test_computed_table_with_cpu_defaultbackend (__main__.TestDispatch) ... ok (0.010s) 2022-11-23T01:48:36.9386141Z test_computed_table_with_cpu_math (__main__.TestDispatch) ... ok (0.011s) 2022-11-23T01:48:36.9386469Z test_computed_table_with_cpu_math_autogradcpu_fallthrough (__main__.TestDispatch) ... ok (0.002s) 2022-11-23T01:48:36.9386793Z test_computed_table_with_math (__main__.TestDispatch) ... ok (0.002s) 2022-11-23T01:48:36.9387057Z test_def (__main__.TestDispatch) ... ok (6.714s) 2022-11-23T01:48:36.9387310Z test_def_impl_schema_mismatch (__main__.TestDispatch) ... ok (0.012s) 2022-11-23T01:48:36.9387638Z test_def_only (__main__.TestDispatch) ... ok (0.001s) 2022-11-23T01:48:36.9387908Z test_def_with_explicit_alias (__main__.TestDispatch) ... ok (0.001s) 2022-11-23T01:48:36.9388170Z test_def_with_inference (__main__.TestDispatch) ... ok (0.224s) 2022-11-23T01:48:36.9388489Z test_dispatch_print_registrations_for_dispatch_key_invalid (__main__.TestDispatch) ... ok (0.002s) 2022-11-23T01:48:36.9388809Z test_find_dangling_impls (__main__.TestDispatch) ... ok (0.001s) 2022-11-23T01:48:36.9389185Z test_find_dangling_impls_ext (__main__.TestDispatch) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root... 2022-11-23T01:48:36.9389582Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/dangling_impl_extension... 2022-11-23T01:48:36.9389969Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/dangling_impl_extension/build.ninja... 2022-11-23T01:48:36.9390294Z Building extension module dangling_impl_extension... 2022-11-23T01:48:36.9390563Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T01:48:36.9391963Z [1/2] c++ -MMD -MF dangling_impl_extension.o.d -DTORCH_EXTENSION_NAME=dangling_impl_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/dangling_impl_extension.cpp -o dangling_impl_extension.o 2022-11-23T01:48:36.9393177Z [2/2] c++ dangling_impl_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o dangling_impl_extension.so 2022-11-23T01:48:36.9393544Z Loading extension module dangling_impl_extension... 2022-11-23T01:48:36.9393762Z ok (1.340s) 2022-11-23T01:48:36.9393975Z test_impl_only (__main__.TestDispatch) ... ok (0.212s) 2022-11-23T01:48:36.9394256Z test_multiple_def_alias_defaulting (__main__.TestDispatch) ... ok (0.009s) 2022-11-23T01:48:36.9394542Z test_multiple_def_alias_mismatch (__main__.TestDispatch) ... ok (0.009s) 2022-11-23T01:48:36.9394828Z test_multiple_def_error (__main__.TestDispatch) ... ok (0.009s) 2022-11-23T01:48:36.9395110Z test_multiple_fallback (__main__.TestDispatch) ... ok (0.009s) 2022-11-23T01:48:36.9395496Z test_overwrite_math (__main__.TestDispatch) ... [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key 2022-11-23T01:48:36.9395858Z operator: __test45643__::foo 2022-11-23T01:48:36.9396046Z no debug info 2022-11-23T01:48:36.9396215Z dispatch key: (catch all) 2022-11-23T01:48:36.9396414Z previous kernel: fn1 2022-11-23T01:48:36.9396634Z new kernel: fn2 (function registerKernel) 2022-11-23T01:48:36.9396973Z [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key 2022-11-23T01:48:36.9397260Z operator: __test45644__::foo 2022-11-23T01:48:36.9397448Z no debug info 2022-11-23T01:48:36.9397630Z dispatch key: (catch all) 2022-11-23T01:48:36.9397811Z previous kernel: fn1 2022-11-23T01:48:36.9398032Z new kernel: fn2 (function registerKernel) 2022-11-23T01:48:36.9398268Z ok (0.001s) 2022-11-23T01:48:36.9398494Z test_autogradother (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:48:36.9398874Z test_basic (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:48:36.9399183Z test_defaultbackend_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:48:36.9399499Z test_defaultbackend_math (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:48:36.9399864Z test_duplicate_registrations (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:48:36.9400180Z test_math_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:48:36.9400510Z test_quantized_structured_not_implemented (__main__.TestPythonDispatcher) ... ok (0.028s) 2022-11-23T01:48:36.9400692Z 2022-11-23T01:48:36.9400901Z ---------------------------------------------------------------------- 2022-11-23T01:48:36.9401151Z Ran 32 tests in 22.921s 2022-11-23T01:48:36.9401266Z 2022-11-23T01:48:36.9401326Z OK 2022-11-23T01:48:36.9401420Z 2022-11-23T01:48:36.9401491Z Generating XML reports... 2022-11-23T01:48:36.9401888Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123014813.xml 2022-11-23T01:48:36.9402411Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123014813.xml 2022-11-23T01:48:36.9402650Z 2022-11-23T01:48:36.9402949Z ##[endgroup] 2022-11-23T01:48:36.9403315Z FINISHED PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_2dimap3n) 2022-11-23T01:48:36.9403530Z 2022-11-23T01:48:36.9403694Z Running test_fake_tensor ... [2022-11-23 01:48:36.937908] 2022-11-23T01:48:36.9404163Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:36.938195] 2022-11-23T01:48:39.4277984Z 2022-11-23T01:48:39.4278844Z Expand the folded group to see the log file of test_fake_tensor 2022-11-23T01:48:39.4280053Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_dxk6v433) 2022-11-23T01:48:39.4280285Z 2022-11-23T01:48:39.4280405Z Running tests... 2022-11-23T01:48:39.4280805Z ---------------------------------------------------------------------- 2022-11-23T01:48:39.4281241Z Test results will be stored in test-reports/python-unittest/test_fake_tensor 2022-11-23T01:48:39.4281554Z test_aliased_const_write (__main__.FakeTensorConstHandling) ... ok (0.246s) 2022-11-23T01:48:39.4281889Z test_constant_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T01:48:39.4282250Z test_fake_tensor_batch_norm_cpu (__main__.FakeTensorConstHandling) ... ok (0.019s) 2022-11-23T01:48:39.4282586Z test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... ok (0.003s) 2022-11-23T01:48:39.4282892Z test_inplace_add (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T01:48:39.4283250Z test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... ok (0.001s) 2022-11-23T01:48:39.4283587Z test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T01:48:39.4284372Z test_shared_storages (__main__.FakeTensorConstHandling) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:48:39.4285105Z warnings.warn(message, UserWarning) 2022-11-23T01:48:39.4285306Z ok (0.002s) 2022-11-23T01:48:39.4285538Z test_simple (__main__.FakeTensorConstHandling) ... ok (0.001s) 2022-11-23T01:48:39.4285830Z test_dead_key (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T01:48:39.4286110Z test_dead_weak_ref (__main__.FakeTensorConverterTest) ... ok (0.002s) 2022-11-23T01:48:39.4286430Z test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T01:48:39.4286954Z test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T01:48:39.4287260Z test_no_active_mode (__main__.FakeTensorConverterTest) ... ok (0.002s) 2022-11-23T01:48:39.4287563Z test_no_ref_cycle (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T01:48:39.4287873Z test_separate_mode_error (__main__.FakeTensorConverterTest) ... ok (0.002s) 2022-11-23T01:48:39.4288680Z test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:48:39.4289249Z warnings.warn(message, UserWarning) 2022-11-23T01:48:39.4289454Z ok (0.001s) 2022-11-23T01:48:39.4289710Z test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T01:48:39.4290034Z test_like_ops (__main__.FakeTensorOperatorInvariants) ... ok (0.015s) 2022-11-23T01:48:39.4290368Z test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.059s) 2022-11-23T01:48:39.4290715Z test_sparse_new (__main__.FakeTensorOperatorInvariants) ... expected failure (0.004s) 2022-11-23T01:48:39.4291086Z test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.114s) 2022-11-23T01:48:39.4291907Z test_fake_tensor_prop_on_nn_module (__main__.FakeTensorPropTest) ... /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py:564: UserWarning: Was not able to add assertion to guarantee correct input value to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with. 2022-11-23T01:48:39.4292398Z warnings.warn( 2022-11-23T01:48:39.4292570Z ok (0.022s) 2022-11-23T01:48:39.4292781Z test_basic (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T01:48:39.4293045Z test_binary_op_type_promotion (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T01:48:39.4293332Z test_constructor (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4293617Z test_cpu_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T01:48:39.4293907Z test_cudnn_rnn (__main__.FakeTensorTest) ... skip: requires cuda (0.002s) 2022-11-23T01:48:39.4294205Z test_data_dependent_operator (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4294935Z test_deepcopy (__main__.FakeTensorTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:48:39.4295407Z warnings.warn(message, UserWarning) 2022-11-23T01:48:39.4295592Z ok (0.005s) 2022-11-23T01:48:39.4295819Z test_fake_dispatch_keys (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T01:48:39.4296099Z test_fake_grad_copy (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4296359Z test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4296660Z test_fallback_memory_prop (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T01:48:39.4296955Z test_from_numpy (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T01:48:39.4297247Z test_index_cuda_with_cpu (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4297554Z test_like_constructor (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4297836Z test_mode (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4298092Z test_nan_to_num (__main__.FakeTensorTest) ... ok (0.008s) 2022-11-23T01:48:39.4298353Z test_new (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T01:48:39.4298652Z test_non_kwarg_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4298988Z test_non_parameter_grad (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4299289Z test_normalize_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4299578Z test_parameter_instantiation (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4299863Z test_print_in_fake_mode (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4300130Z test_randperm (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T01:48:39.4300427Z test_recursive_invocation (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T01:48:39.4300706Z test_scalar_inputs (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T01:48:39.4300988Z test_setitem (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4301283Z test_shape_take_not_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4301589Z test_throw (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4301887Z test_type_as (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4302181Z test_zero_dim (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T01:48:39.4302333Z 2022-11-23T01:48:39.4302537Z ---------------------------------------------------------------------- 2022-11-23T01:48:39.4302784Z Ran 53 tests in 0.547s 2022-11-23T01:48:39.4302902Z 2022-11-23T01:48:39.4302998Z OK (skipped=13, expected failures=1) 2022-11-23T01:48:39.4303134Z 2022-11-23T01:48:39.4303205Z Generating XML reports... 2022-11-23T01:48:39.4303645Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123014838.xml 2022-11-23T01:48:39.4304205Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123014838.xml 2022-11-23T01:48:39.4304776Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123014838.xml 2022-11-23T01:48:39.4305315Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123014838.xml 2022-11-23T01:48:39.4305893Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123014838.xml 2022-11-23T01:48:39.4306118Z 2022-11-23T01:48:39.4306391Z ##[endgroup] 2022-11-23T01:48:39.4306769Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_dxk6v433) 2022-11-23T01:48:39.4306991Z 2022-11-23T01:48:39.4307157Z Running test_fx ... [2022-11-23 01:48:39.427939] 2022-11-23T01:48:39.4307604Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:39.428171] 2022-11-23T01:52:34.4719126Z 2022-11-23T01:52:34.4721633Z Expand the folded group to see the log file of test_fx 2022-11-23T01:52:34.4722548Z ##[group]PRINTING LOG FILE of test_fx (/var/lib/jenkins/workspace/test/test-reports/test_fx_lafwjojv) 2022-11-23T01:52:34.4722866Z 2022-11-23T01:52:34.4722977Z Running tests... 2022-11-23T01:52:34.4723596Z ---------------------------------------------------------------------- 2022-11-23T01:52:34.4725942Z Test results will be stored in test-reports/python-unittest/test_fx 2022-11-23T01:52:34.4726284Z test_annotate (fx.test_gradual_type.AnnotationsTest) ... ok (0.015s) 2022-11-23T01:52:34.4726589Z test_annotations (fx.test_gradual_type.AnnotationsTest) 2022-11-23T01:52:34.4726876Z Test type annotations in the forward function. ... ok (0.003s) 2022-11-23T01:52:34.4727170Z test_broadcasting1 (fx.test_gradual_type.AnnotationsTest) ... ok (0.001s) 2022-11-23T01:52:34.4727492Z test_broadcasting2 (fx.test_gradual_type.AnnotationsTest) ... ok (0.001s) 2022-11-23T01:52:34.4727805Z test_broadcasting3 (fx.test_gradual_type.AnnotationsTest) ... ok (0.001s) 2022-11-23T01:52:34.4728097Z test_consistency (fx.test_gradual_type.AnnotationsTest) 2022-11-23T01:52:34.4728343Z Test the consistency relation. ... ok (0.001s) 2022-11-23T01:52:34.4728801Z test_precision (fx.test_gradual_type.AnnotationsTest) 2022-11-23T01:52:34.4729067Z Test the consistency relation. ... ok (0.001s) 2022-11-23T01:52:34.4729314Z test_banned_list (fx.test_cse_pass.TestCSEPass) ... ok (0.015s) 2022-11-23T01:52:34.4729594Z test_empty (fx.test_cse_pass.TestCSEPass) ... ok (0.003s) 2022-11-23T01:52:34.4729893Z test_immutable_list_multiple_entries (fx.test_cse_pass.TestCSEPass) ... ok (0.010s) 2022-11-23T01:52:34.4730527Z test_immutable_list_type (fx.test_cse_pass.TestCSEPass) ... ok (0.009s) 2022-11-23T01:52:34.4731027Z test_kwarg (fx.test_cse_pass.TestCSEPass) ... ok (0.007s) 2022-11-23T01:52:34.4731544Z test_nested_immutable_list_type (fx.test_cse_pass.TestCSEPass) ... ok (0.006s) 2022-11-23T01:52:34.4732009Z test_nochange (fx.test_cse_pass.TestCSEPass) ... ok (0.007s) 2022-11-23T01:52:34.4732269Z test_rand_like (fx.test_cse_pass.TestCSEPass) ... ok (0.006s) 2022-11-23T01:52:34.4732534Z test_rand_n (fx.test_cse_pass.TestCSEPass) ... ok (0.006s) 2022-11-23T01:52:34.4732801Z test_random (fx.test_cse_pass.TestCSEPass) ... ok (0.081s) 2022-11-23T01:52:34.4733050Z test_simple (fx.test_cse_pass.TestCSEPass) ... ok (0.009s) 2022-11-23T01:52:34.4733314Z test_simple_2 (fx.test_cse_pass.TestCSEPass) ... ok (0.010s) 2022-11-23T01:52:34.4733604Z test_simple_multiple_same_ops (fx.test_cse_pass.TestCSEPass) ... ok (0.009s) 2022-11-23T01:52:34.4733889Z test_two_args (fx.test_cse_pass.TestCSEPass) ... ok (0.010s) 2022-11-23T01:52:34.4734159Z test_two_args_default (fx.test_cse_pass.TestCSEPass) ... ok (0.009s) 2022-11-23T01:52:34.4734494Z test_correctness_CSEPass_MutationInput_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s) 2022-11-23T01:52:34.4734872Z test_correctness_CSEPass_MutationMetadata_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.004s) 2022-11-23T01:52:34.4735253Z test_correctness_CSEPass_MutationTorchTensorCall_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s) 2022-11-23T01:52:34.4735639Z test_correctness_CSEPass_Mutation_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s) 2022-11-23T01:52:34.4735993Z test_correctness_CSEPass_ReturnList_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.007s) 2022-11-23T01:52:34.4736350Z test_correctness_CSEPass_TakeList_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.004s) 2022-11-23T01:52:34.4736723Z test_correctness_factory_CSEPass_FactoryFunctionCall_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.005s) 2022-11-23T01:52:34.4737122Z test_correctness_factory_CSEPass_MutationFactory_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s) 2022-11-23T01:52:34.4737462Z test_check_inline_non_const (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4738479Z Perform constant folding conversion and check that the non-const module is inlined ... /opt/conda/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:248: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2022-11-23T01:52:34.4739142Z new_node = root_const_gm.graph.get_attr(in_node.target) 2022-11-23T01:52:34.4739341Z ok (0.007s) 2022-11-23T01:52:34.4739588Z test_check_inline_non_const_mult_return (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4740005Z Perform constant folding conversion and check that the non-const module is inlined ... ok (0.007s) 2022-11-23T01:52:34.4740342Z test_check_skip_folding_quant_dequant_pattern (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4740679Z Set up skip_folding_quant_dequant function to skip quant/dequant pattern. ... ok (0.023s) 2022-11-23T01:52:34.4741011Z test_const_fold_basic_one_attr_name_collision (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4741352Z Perform constant folding conversion, from original mod to split constant folding ... ok (0.006s) 2022-11-23T01:52:34.4741739Z test_const_fold_basic_one_attr_no_name_collision (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4742080Z Perform constant folding conversion, from original mod to split constant folding ... ok (0.006s) 2022-11-23T01:52:34.4742421Z test_const_fold_basic_placeholder_reordered (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4742737Z Test code path where placeholder comes after normal op node in FX ... ok (0.003s) 2022-11-23T01:52:34.4743039Z test_const_fold_basic_two_attr (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4743386Z Perform constant folding conversion, from original mod to split constant ... ok (0.005s) 2022-11-23T01:52:34.4743711Z test_const_fold_basic_two_attr_three_input (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4744025Z Perform constant folding conversion, from original mod to split constant ... ok (0.005s) 2022-11-23T01:52:34.4744366Z test_const_fold_has_inlined_call_module_node (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s) 2022-11-23T01:52:34.4744926Z test_const_fold_module_attr (fx.test_fx_const_fold.TestConstFold) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:973: UserWarning: Failed to fetch module mod! 2022-11-23T01:52:34.4745304Z warnings.warn(f"Failed to fetch module {module_path}!") 2022-11-23T01:52:34.4745503Z ok (0.006s) 2022-11-23T01:52:34.4745746Z test_const_fold_multi_const_folded_attrs (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4746083Z Perform constant folding conversion, from original mod to split constant ... ok (0.007s) 2022-11-23T01:52:34.4746378Z test_const_fold_noop (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4746675Z Check that a graph with no constant folding is handled correctly. ... ok (0.003s) 2022-11-23T01:52:34.4746984Z test_const_fold_submod_hierarchy (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4747531Z Perform constant folding conversion, from original mod to split constant folding ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:973: UserWarning: Failed to fetch module my_mod! 2022-11-23T01:52:34.4747929Z warnings.warn(f"Failed to fetch module {module_path}!") 2022-11-23T01:52:34.4748146Z ok (0.005s) 2022-11-23T01:52:34.4748391Z test_const_fold_tensor_meta (fx.test_fx_const_fold.TestConstFold) ... ok (0.010s) 2022-11-23T01:52:34.4748753Z test_const_fold_unused_placeholder (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s) 2022-11-23T01:52:34.4749163Z test_dict_output (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s) 2022-11-23T01:52:34.4749506Z test_fold_module (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4749922Z Perform constant folding with a call_module node. ... ok (0.006s) 2022-11-23T01:52:34.4750439Z test_retain_node_meta (fx.test_fx_const_fold.TestConstFold) 2022-11-23T01:52:34.4750917Z Perform constant folding conversion, and validate that node meta is retained. ... ok (0.005s) 2022-11-23T01:52:34.4751246Z test_three_outputs (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s) 2022-11-23T01:52:34.4751562Z test_two_outputs (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s) 2022-11-23T01:52:34.4752219Z test_param_dim_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s) 2022-11-23T01:52:34.4752728Z test_param_ndim_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s) 2022-11-23T01:52:34.4753142Z test_param_nelement_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s) 2022-11-23T01:52:34.4753573Z test_param_numel_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s) 2022-11-23T01:52:34.4753987Z test_param_shape_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s) 2022-11-23T01:52:34.4754404Z test_param_size_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s) 2022-11-23T01:52:34.4754711Z test_dead_chain (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4755131Z Tests that a chain of two nodes in the graph are DCE'd correctly. ... graph(): 2022-11-23T01:52:34.4755398Z %x : [#users=2] = placeholder[target=x] 2022-11-23T01:52:34.4755668Z %add : [#users=1] = call_function[target=operator.add](args = (%x, 1), kwargs = {}) 2022-11-23T01:52:34.4755969Z %mul : [#users=0] = call_function[target=operator.mul](args = (%add, 7), kwargs = {}) 2022-11-23T01:52:34.4756234Z %attr_1 : [#users=1] = get_attr[target=attr_1] 2022-11-23T01:52:34.4756549Z %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, %attr_1), kwargs = {}) 2022-11-23T01:52:34.4756777Z return add_1 2022-11-23T01:52:34.4756942Z ok (0.003s) 2022-11-23T01:52:34.4757144Z test_dead_getattr (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4757454Z Tests that a getatrr in the graph is DCE'd correctly. ... graph(): 2022-11-23T01:52:34.4757703Z %x : [#users=2] = placeholder[target=x] 2022-11-23T01:52:34.4757969Z %add : [#users=1] = call_function[target=operator.add](args = (%x, 1), kwargs = {}) 2022-11-23T01:52:34.4758226Z %attr_1 : [#users=1] = get_attr[target=attr_1] 2022-11-23T01:52:34.4758505Z %mul : [#users=0] = call_function[target=operator.mul](args = (%add, %attr_1), kwargs = {}) 2022-11-23T01:52:34.4758894Z %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, 11), kwargs = {}) 2022-11-23T01:52:34.4759132Z return add_1 2022-11-23T01:52:34.4759284Z ok (0.003s) 2022-11-23T01:52:34.4759495Z test_dead_placeholder (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4759859Z Tests that a placeholder in the graph is not DCE'd, as that would change ... graph(): 2022-11-23T01:52:34.4760120Z %x : [#users=1] = placeholder[target=x] 2022-11-23T01:52:34.4760339Z %y : [#users=0] = placeholder[target=y] 2022-11-23T01:52:34.4760603Z %add : [#users=1] = call_function[target=operator.add](args = (%x, 7), kwargs = {}) 2022-11-23T01:52:34.4760822Z return add 2022-11-23T01:52:34.4760982Z ok (0.002s) 2022-11-23T01:52:34.4761203Z test_dead_placeholder_with_user (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4761561Z Tests that a placeholder in the graph is not DCE'd, as that would change ... graph(): 2022-11-23T01:52:34.4761830Z %x : [#users=1] = placeholder[target=x] 2022-11-23T01:52:34.4762047Z %y : [#users=1] = placeholder[target=y] 2022-11-23T01:52:34.4762307Z %add : [#users=0] = call_function[target=operator.add](args = (%y, 2), kwargs = {}) 2022-11-23T01:52:34.4762596Z %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, 7), kwargs = {}) 2022-11-23T01:52:34.4762827Z return add_1 2022-11-23T01:52:34.4762993Z ok (0.003s) 2022-11-23T01:52:34.4763200Z test_keep_module_with_side_effects (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4763572Z Test that DCE doesn't remove a module if it's specified as having side effects. ... graph(): 2022-11-23T01:52:34.4763864Z %a : torch.Tensor [#users=2] = placeholder[target=a] 2022-11-23T01:52:34.4764120Z %relu : [#users=0] = call_module[target=relu](args = (%a,), kwargs = {}) 2022-11-23T01:52:34.4764415Z %mul : [#users=1] = call_function[target=operator.mul](args = (%a, 2), kwargs = {}) 2022-11-23T01:52:34.4764645Z return mul 2022-11-23T01:52:34.4764996Z ok (0.003s) 2022-11-23T01:52:34.4765192Z test_keep_torch_assert (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4765545Z Test that DCE doesn't remove torch._assert since it has side effects. ... graph(): 2022-11-23T01:52:34.4765832Z %a : torch.Tensor [#users=2] = placeholder[target=a] 2022-11-23T01:52:34.4766105Z %equal : [#users=1] = call_function[target=torch.equal](args = (%a, %a), kwargs = {}) 2022-11-23T01:52:34.4766434Z %_assert : [#users=0] = call_function[target=torch._assert](args = (%equal, a must equal a), kwargs = {}) 2022-11-23T01:52:34.4766758Z %mul : [#users=1] = call_function[target=operator.mul](args = (%a, 2), kwargs = {}) 2022-11-23T01:52:34.4766979Z return mul 2022-11-23T01:52:34.4767140Z ok (0.003s) 2022-11-23T01:52:34.4767331Z test_simple (fx.test_dce_pass.TestDCE) 2022-11-23T01:52:34.4767736Z Tests that a single node in the graph is DCE'd correctly. ... graph(): 2022-11-23T01:52:34.4767982Z %x : [#users=2] = placeholder[target=x] 2022-11-23T01:52:34.4768248Z %add : [#users=0] = call_function[target=operator.add](args = (%x, 1), kwargs = {}) 2022-11-23T01:52:34.4768513Z %attr_1 : [#users=1] = get_attr[target=attr_1] 2022-11-23T01:52:34.4768778Z %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, %attr_1), kwargs = {}) 2022-11-23T01:52:34.4769062Z return add_1 2022-11-23T01:52:34.4769228Z ok (0.003s) 2022-11-23T01:52:34.4769421Z test_all_input_nodes (__main__.TestFX) ... ok (0.008s) 2022-11-23T01:52:34.4769678Z test_annotation_with_future (__main__.TestFX) ... ok (0.009s) 2022-11-23T01:52:34.4770471Z test_annotations_empty_tuple (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`. 2022-11-23T01:52:34.4771079Z warnings.warn("The TorchScript type system doesn't support " 2022-11-23T01:52:34.4771289Z ok (0.027s) 2022-11-23T01:52:34.4771521Z test_annotations_with_forward_references (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4771817Z test_annotations_with_no_forward_references (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4772141Z test_annotations_with_non_torch_reference_and_internal_forward_references (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4772506Z test_annotations_with_non_torch_reference_and_no_internal_forward_references (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4772803Z test_args_kwargs (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4773047Z test_args_kwargs_no_self (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4773382Z test_assert (__main__.TestFX) ... skip: Does not work on Python-3.10 (0.000s) 2022-11-23T01:52:34.4773677Z test_ast_rewriter_reassigns_submodules (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4773958Z test_ast_rewriter_rewrites_assert (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4774232Z test_ast_rewriter_rewrites_assert_with_message (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4774504Z test_ast_rewriter_wrap (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4774766Z test_ast_rewriter_wrap_fn_directly (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4775047Z test_ast_rewriter_wrap_with_submodule (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4775320Z test_ast_rewriter_wrapped_via_decorator (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4775633Z test_ast_rewriter_wrapped_via_decorator_and_transformed (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4775927Z test_autowrap_functions (__main__.TestFX) ... ok (0.060s) 2022-11-23T01:52:34.4776173Z test_concrete_arg_none_assert (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4776434Z test_construct_root_dict (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4776676Z test_copy_it (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4776911Z test_copy_no_remap (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4777129Z test_ctx_mgr (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4777361Z test_custom_codegen (__main__.TestFX) ... ok (0.020s) 2022-11-23T01:52:34.4777624Z test_custom_codegen_with_transformer (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4777879Z test_custom_import (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4778131Z test_custom_proxy_dynamic_value (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4778422Z test_custom_proxy_input_dependent_control_flow (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4778684Z test_custom_proxy_type (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4778941Z test_custom_proxy_type_literal (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4779288Z test_custom_traceback_not_raised_when_exception_source_is_submodule (__main__.TestFX) ... ok (0.009s) 2022-11-23T01:52:34.4779639Z test_custom_traceback_raised_when_exception_source_is_graphmodule (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4779942Z test_deepcopy_graph_with_tracer_cls (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4780234Z test_deepcopy_graphmodule_with_transform (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4780521Z test_deepcopy_recursion_depth (__main__.TestFX) ... ok (0.168s) 2022-11-23T01:52:34.4780811Z test_deepcopy_tracer (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4781075Z test_deepcopy_with_submods_params (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4781353Z test_delete_unused_submodules_leaf (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4781601Z test_dict (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4781822Z test_direct_param_use (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4782067Z test_disallow_override (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4782309Z test_ellipsis (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4782540Z test_empty_graph_codegen (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4782789Z test_erase_node_error (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4783037Z test_example_shape_prop (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4783263Z test_find_uses (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4783515Z test_fn_type_annotation_empty (__main__.TestFX) ... ok (0.019s) 2022-11-23T01:52:34.4783776Z test_fn_type_annotations (__main__.TestFX) ... ok (0.026s) 2022-11-23T01:52:34.4784006Z test_fx_and_or (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4784241Z test_fx_create_arg (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4784475Z test_fx_shifts (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4784706Z test_fx_stateless (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4784941Z test_get_torch_func_signature (__main__.TestFX) ... ok (0.110s) 2022-11-23T01:52:34.4785238Z test_getitem (__main__.TestFX) ... skip: Will be checked in test_getitem_subproc (0.000s) 2022-11-23T01:52:34.4785526Z test_getitem_subproc (__main__.TestFX) ... ok (0.030s) 2022-11-23T01:52:34.4785766Z test_graph_edit_with_proxy (__main__.TestFX) ... ok (0.006s) 2022-11-23T01:52:34.4786010Z test_graph_fns (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4786248Z test_graph_module (__main__.TestFX) ... ok (0.037s) 2022-11-23T01:52:34.4786523Z test_graph_module_init_buffer_param_copied_dict_init (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4786841Z test_graph_module_init_buffer_param_copied_mod_init (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4787143Z test_graph_module_replicate_for_dp (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4787411Z test_graph_unique_names (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4787662Z test_graph_unique_names_manual (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4787936Z test_immutable_dict_pytree_ops (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4788206Z test_immutable_list_pytree_ops (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4788448Z test_imul_code_print (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4788682Z test_inf_nan (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4788911Z test_inf_nan_kwds (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4789137Z test_inline_graph (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4789380Z test_insertion_point (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4789623Z test_interpreter (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4789881Z test_interpreter_default_args (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4790132Z test_interpreter_gc_values (__main__.TestFX) ... ok (0.250s) 2022-11-23T01:52:34.4790399Z test_interpreter_noop_resnet18 (__main__.TestFX) ... ok (0.308s) 2022-11-23T01:52:34.4790711Z test_interpreter_not_enough_args (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4790975Z test_interpreter_onthefly_swap (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4791245Z test_interpreter_partial_eval (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4791522Z test_interpreter_run_node_override (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4791780Z test_interpreter_star_args (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4792044Z test_interpreter_with_codegen (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4792319Z test_layout (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4792551Z test_leaf_module (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4792785Z test_matmul_tracing (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4793044Z test_module_deepcopy_edit_nodes (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4793298Z test_move_before (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4793529Z test_multi_insert_point (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4793785Z test_multiple_default_args (__main__.TestFX) ... ok (0.006s) 2022-11-23T01:52:34.4794041Z test_named_tuple_inlined (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4794293Z test_namedtuple_return_qualname (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4794561Z test_namedtuple_return_trace (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4794813Z test_native_callable (__main__.TestFX) ... ok (0.025s) 2022-11-23T01:52:34.4795051Z test_no_mutation (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4795274Z test_node_tagging (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4795521Z test_nonetype_annotation (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4796263Z test_partial_trace (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py:564: UserWarning: Was not able to add assertion to guarantee correct input f to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with. 2022-11-23T01:52:34.4796724Z warnings.warn( 2022-11-23T01:52:34.4796824Z 2022-11-23T01:52:34.4796829Z 2022-11-23T01:52:34.4796833Z 2022-11-23T01:52:34.4796915Z def forward(self, x, y_1): 2022-11-23T01:52:34.4797107Z eq = y_1 == True; y_1 = None 2022-11-23T01:52:34.4797469Z _assert = torch._assert(eq, 'y has been specialized to have value True but got another value'); eq = None 2022-11-23T01:52:34.4797721Z mul = 2 * x; x = None 2022-11-23T01:52:34.4797896Z return mul 2022-11-23T01:52:34.4798055Z 2022-11-23T01:52:34.4798194Z ok (0.007s) 2022-11-23T01:52:34.4798408Z test_pickle_custom_import (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4798751Z test_pickle_graphmodule (__main__.TestFX) ... ok (0.006s) 2022-11-23T01:52:34.4799008Z test_pickle_nonetype_annotation (__main__.TestFX) ... ok (0.006s) 2022-11-23T01:52:34.4799276Z test_pickle_torch_custom_ops (__main__.TestFX) ... ok (0.007s) 2022-11-23T01:52:34.4799816Z test_prepend_self (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/fx/node.py:242: UserWarning: Trying to prepend a node to itself. This behavior has no effect on the graph. 2022-11-23T01:52:34.4800258Z warnings.warn("Trying to prepend a node to itself. This behavior has no effect on the graph.") 2022-11-23T01:52:34.4800493Z ok (0.001s) 2022-11-23T01:52:34.4800696Z test_pretty_print (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4800942Z test_pretty_print_graph (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4801184Z test_pretty_print_node (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4801435Z test_pretty_print_targets (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4801703Z test_profiler_ranges_side_effect (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4801949Z test_pytree (__main__.TestFX) ... ok (0.102s) 2022-11-23T01:52:34.4802174Z test_pytree_concrete (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4802436Z test_reassign_args_kwargs_uses (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4802741Z test_regular_and_default_args (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4802982Z test_remove_uses (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4803236Z test_remove_uses_with_custom_filter (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4803494Z test_replace_input (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4803721Z test_replace_uses (__main__.TestFX) ... ok (0.135s) 2022-11-23T01:52:34.4803978Z test_reserved_getattr (__main__.TestFX) 2022-11-23T01:52:34.4804257Z Ensure that we do not name any nodes with a reserved builtin like `getattr` ... ok (0.003s) 2022-11-23T01:52:34.4804537Z test_return_tuple (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4804892Z test_return_type_exists (__main__.TestFX) ... ok (0.018s) 2022-11-23T01:52:34.4805177Z test_script_method_trace (__main__.TestFX) ... ok (0.008s) 2022-11-23T01:52:34.4805437Z test_script_tensor_constant (__main__.TestFX) ... ok (0.018s) 2022-11-23T01:52:34.4805675Z test_sequential (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4805923Z test_shape_prop_aggregate (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4806178Z test_shape_prop_layout (__main__.TestFX) ... ok (0.024s) 2022-11-23T01:52:34.4806424Z test_shape_prop_layout_3d (__main__.TestFX) ... ok (0.510s) 2022-11-23T01:52:34.4806681Z test_single_default_arg (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4806921Z test_snake_case (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4807150Z test_sqrt (__main__.TestFX) ... ok (0.007s) 2022-11-23T01:52:34.4807362Z test_stack_traces (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4807619Z test_stack_traces_with_transformer (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4807888Z test_string_literal_return (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4808145Z test_submodule_manipulation_API (__main__.TestFX) ... ok (0.018s) 2022-11-23T01:52:34.4808417Z test_symbolic_trace_assert (__main__.TestFX) ... ok (0.009s) 2022-11-23T01:52:34.4808678Z test_symbolic_trace_sequential (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4808921Z test_tensor_attribute (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4809176Z test_tensor_attribute_coalseced (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4809433Z test_tensor_constant (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4809679Z test_throw_out_variant (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4809913Z test_torch_custom_ops (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4810154Z test_torch_fx_getattr (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4810919Z test_torch_fx_len (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`. 2022-11-23T01:52:34.4811519Z warnings.warn("The TorchScript type system doesn't support " 2022-11-23T01:52:34.4811726Z ok (0.025s) 2022-11-23T01:52:34.4811937Z test_torch_op_overloads (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4812208Z test_torchbind_class_attribute_in_fx (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4812488Z test_torchbind_class_attribute_in_fx_tensor_arg (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4812800Z test_trace_buffer_slice (__main__.TestFX) ... skip: Hotfix for SEV remediation (0.001s) 2022-11-23T01:52:34.4813095Z test_trace_dict_int_keys (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4813338Z test_trace_dict_proxy_keys (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4813589Z test_trace_fn_constant (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4813836Z test_trace_function (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4814091Z test_trace_multiple_funcs (__main__.TestFX) ... 1.14.0a0+git1cfd385 2022-11-23T01:52:34.4814292Z ok (0.007s) 2022-11-23T01:52:34.4814596Z test_tracing_graphmodules_as_leaf_submodules (__main__.TestFX) ... ok (0.015s) 2022-11-23T01:52:34.4814886Z test_transformer_multi_outputs (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4815135Z test_transformer_noop (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4815387Z test_transformer_op_swap (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4815640Z test_tuple_no_subscript (__main__.TestFX) ... ok (0.005s) 2022-11-23T01:52:34.4815928Z test_typename_print (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4816160Z test_unpack (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4816406Z test_unpack_dict_better_error (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4816669Z test_unpack_list_better_error (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4816914Z test_update_args_api (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4817179Z test_update_args_kwargs_yells_at_you (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4817446Z test_update_kwargs_api (__main__.TestFX) ... ok (0.002s) 2022-11-23T01:52:34.4817716Z test_user_friendly_call_provenance_with_function (__main__.TestFX) ... ok (0.017s) 2022-11-23T01:52:34.4818021Z test_user_friendly_call_provenance_with_module (__main__.TestFX) ... ok (0.017s) 2022-11-23T01:52:34.4818283Z test_wrap (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4818517Z test_wrap_decorated_function (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4818826Z test_wrap_fn_directly (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4819071Z test_wrap_with_submodule (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4819321Z test_wrapped_method (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4819557Z test_wrapped_retrace (__main__.TestFX) ... ok (0.004s) 2022-11-23T01:52:34.4819811Z test_wrapped_via_decorator (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4820093Z test_wrapped_via_decorator_and_transformed (__main__.TestFX) ... ok (0.003s) 2022-11-23T01:52:34.4820358Z test_wrong_target_type (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4820597Z test_wrong_topo (__main__.TestFX) ... ok (0.001s) 2022-11-23T01:52:34.4820885Z test_class_member_back_compat (__main__.TestFXAPIBackwardCompatibility) 2022-11-23T01:52:34.4821189Z Test backward compatibility for members of classes with ... ok (0.001s) 2022-11-23T01:52:34.4821500Z test_function_back_compat (__main__.TestFXAPIBackwardCompatibility) 2022-11-23T01:52:34.4821815Z Test backward compatibility for function signatures with ... ok (0.008s) 2022-11-23T01:52:34.4822146Z test_public_api_surface (__main__.TestFXAPIBackwardCompatibility) ... ok (0.002s) 2022-11-23T01:52:34.4822476Z test_nn_functional_adaptive_avg_pool1d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4822812Z test_nn_functional_adaptive_avg_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4823147Z test_nn_functional_adaptive_avg_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4823466Z test_nn_functional_adaptive_max_pool1d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4823816Z test_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4824156Z test_nn_functional_adaptive_max_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4824498Z test_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4824827Z test_nn_functional_adaptive_max_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4825169Z test_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4825505Z test_nn_functional_affine_grid (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4825825Z test_nn_functional_alpha_dropout (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4826167Z test_nn_functional_avg_pool1d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4826484Z test_nn_functional_avg_pool2d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4826793Z test_nn_functional_avg_pool3d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4827088Z test_nn_functional_batch_norm (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4827401Z test_nn_functional_bilinear (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4827754Z test_nn_functional_binary_cross_entropy (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4828104Z test_nn_functional_binary_cross_entropy_with_logits (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4828417Z test_nn_functional_celu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4828719Z test_nn_functional_celu_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4829037Z test_nn_functional_channel_shuffle (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4829340Z test_nn_functional_conv1d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4829642Z test_nn_functional_conv2d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4829943Z test_nn_functional_conv3d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4830242Z test_nn_functional_conv_tbc (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4830552Z test_nn_functional_conv_transpose1d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4830879Z test_nn_functional_conv_transpose2d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4831205Z test_nn_functional_conv_transpose3d (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4831526Z test_nn_functional_cosine_embedding_loss (__main__.TestFunctionalTracing) ... ok (0.003s) 2022-11-23T01:52:34.4831865Z test_nn_functional_cosine_similarity (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4832187Z test_nn_functional_cross_entropy (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4832500Z test_nn_functional_ctc_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4832796Z test_nn_functional_dropout (__main__.TestFunctionalTracing) ... ok (0.003s) 2022-11-23T01:52:34.4833108Z test_nn_functional_dropout1d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4833422Z test_nn_functional_dropout2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4833716Z test_nn_functional_dropout3d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4834018Z test_nn_functional_elu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4834315Z test_nn_functional_elu_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4834623Z test_nn_functional_embedding (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4834929Z test_nn_functional_embedding_bag (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4835257Z test_nn_functional_feature_alpha_dropout (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4835575Z test_nn_functional_fold (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4835881Z test_nn_functional_fractional_max_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4836235Z test_nn_functional_fractional_max_pool2d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4836584Z test_nn_functional_fractional_max_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4836934Z test_nn_functional_fractional_max_pool3d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4837265Z test_nn_functional_gaussian_nll_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4837609Z test_nn_functional_gelu (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4837911Z test_nn_functional_glu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4838210Z test_nn_functional_grid_sample (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4838526Z test_nn_functional_group_norm (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4838948Z test_nn_functional_gumbel_softmax (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4839308Z test_nn_functional_hardshrink (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4839616Z test_nn_functional_hardsigmoid (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4839936Z test_nn_functional_hardswish (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4840249Z test_nn_functional_hardtanh (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4840554Z test_nn_functional_hardtanh_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4840878Z test_nn_functional_hinge_embedding_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4841200Z test_nn_functional_huber_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4841512Z test_nn_functional_instance_norm (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4841816Z test_nn_functional_interpolate (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4842129Z test_nn_functional_kl_div (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4842429Z test_nn_functional_l1_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4842726Z test_nn_functional_layer_norm (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4843036Z test_nn_functional_leaky_relu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4843344Z test_nn_functional_leaky_relu_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4843651Z test_nn_functional_linear (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4843954Z test_nn_functional_local_response_norm (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4844272Z test_nn_functional_log_softmax (__main__.TestFunctionalTracing) ... ok (0.003s) 2022-11-23T01:52:34.4844587Z test_nn_functional_logsigmoid (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4845017Z test_nn_functional_lp_pool1d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4845323Z test_nn_functional_lp_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4845644Z test_nn_functional_margin_ranking_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4845963Z test_nn_functional_max_pool1d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4846276Z test_nn_functional_max_pool1d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4846604Z test_nn_functional_max_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4846929Z test_nn_functional_max_pool2d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4847238Z test_nn_functional_max_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4847562Z test_nn_functional_max_pool3d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4847890Z test_nn_functional_max_unpool1d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4848208Z test_nn_functional_max_unpool2d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4848510Z test_nn_functional_max_unpool3d (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4848814Z test_nn_functional_mish (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4849118Z test_nn_functional_mse_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4849494Z test_nn_functional_multi_head_attention_forward (__main__.TestFunctionalTracing) ... ok (0.003s) 2022-11-23T01:52:34.4849840Z test_nn_functional_multi_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4850171Z test_nn_functional_multilabel_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4850513Z test_nn_functional_multilabel_soft_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4850884Z test_nn_functional_native_channel_shuffle (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4851203Z test_nn_functional_nll_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4851513Z test_nn_functional_normalize (__main__.TestFunctionalTracing) ... ok (0.004s) 2022-11-23T01:52:34.4851810Z test_nn_functional_one_hot (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4852111Z test_nn_functional_pad (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4852429Z test_nn_functional_pairwise_distance (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4852751Z test_nn_functional_pdist (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4853051Z test_nn_functional_pixel_shuffle (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4853372Z test_nn_functional_pixel_unshuffle (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4853700Z test_nn_functional_poisson_nll_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4853997Z test_nn_functional_prelu (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4854295Z test_nn_functional_relu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4854592Z test_nn_functional_relu6 (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4854890Z test_nn_functional_relu_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4855174Z test_nn_functional_rrelu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4855475Z test_nn_functional_rrelu_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4855776Z test_nn_functional_selu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4856060Z test_nn_functional_selu_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4856361Z test_nn_functional_silu (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4856670Z test_nn_functional_smooth_l1_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4856988Z test_nn_functional_soft_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4857287Z test_nn_functional_softmax (__main__.TestFunctionalTracing) ... ok (0.003s) 2022-11-23T01:52:34.4857595Z test_nn_functional_softmin (__main__.TestFunctionalTracing) ... ok (0.003s) 2022-11-23T01:52:34.4857905Z test_nn_functional_softplus (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4858206Z test_nn_functional_softshrink (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4858517Z test_nn_functional_threshold (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4858826Z test_nn_functional_threshold_ (__main__.TestFunctionalTracing) ... ok (0.001s) 2022-11-23T01:52:34.4859148Z test_nn_functional_triplet_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4859488Z test_nn_functional_triplet_margin_with_distance_loss (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4859820Z test_nn_functional_unfold (__main__.TestFunctionalTracing) ... ok (0.002s) 2022-11-23T01:52:34.4860485Z test_nn_functional_upsample (__main__.TestFunctionalTracing) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:3738: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:52:34.4861040Z warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:52:34.4861301Z ok (0.002s) 2022-11-23T01:52:34.4861890Z test_nn_functional_upsample_bilinear (__main__.TestFunctionalTracing) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:52:34.4862431Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:52:34.4862741Z ok (0.002s) 2022-11-23T01:52:34.4863314Z test_nn_functional_upsample_nearest (__main__.TestFunctionalTracing) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:52:34.4863843Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:52:34.4864118Z ok (0.002s) 2022-11-23T01:52:34.4864334Z test_pass_manager (fx.test_pass_infra.TestPassManager) 2022-11-23T01:52:34.4864619Z Tests that the pass manager runs the passes correctly. ... ok (0.004s) 2022-11-23T01:52:34.4864917Z test_pass_manager_bad_checks (fx.test_pass_infra.TestPassManager) 2022-11-23T01:52:34.4865238Z Checks that we error if we pass in a check function with the wrong parameters ... ok (0.001s) 2022-11-23T01:52:34.4865536Z test_pass_manager_checks (fx.test_pass_infra.TestPassManager) 2022-11-23T01:52:34.4865827Z Tests that users can add in check functions correctly ... ok (0.002s) 2022-11-23T01:52:34.4866113Z test_pass_manager_error (fx.test_pass_infra.TestPassManager) 2022-11-23T01:52:34.4866359Z Tests error catching + debug ... ok (0.003s) 2022-11-23T01:52:34.4866629Z test_this_before_that_pass_constraint (fx.test_pass_infra.TestPassManager) 2022-11-23T01:52:34.4866915Z Tests the construction of constraints ... ok (0.001s) 2022-11-23T01:52:34.4867170Z test_topological_sort (fx.test_pass_infra.TestPassManager) 2022-11-23T01:52:34.4867466Z Tests that passes are correctly ordered based on contraints. ... ok (0.002s) 2022-11-23T01:52:34.4867822Z test_matching_pattern_with_list_type_arg (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s) 2022-11-23T01:52:34.4868213Z test_replace_pattern_with_filters (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.014s) 2022-11-23T01:52:34.4868588Z test_subgraph_rewriter_annotations_int (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.004s) 2022-11-23T01:52:34.4868974Z test_subgraph_rewriter_call_method (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s) 2022-11-23T01:52:34.4869374Z test_subgraph_rewriter_correct_output_replacement (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4869782Z test_subgraph_rewriter_graph_argument_order (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4870215Z test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4870641Z test_subgraph_rewriter_local_revert (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.010s) 2022-11-23T01:52:34.4871031Z test_subgraph_rewriter_multiple_pattern_match (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.009s) 2022-11-23T01:52:34.4871417Z test_subgraph_rewriter_nodes_with_kwargs (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s) 2022-11-23T01:52:34.4871817Z test_subgraph_rewriter_pattern_is_entire_graph (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4872257Z test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4872684Z test_subgraph_rewriter_placeholder_matching (fx.test_subgraph_rewriter.TestSubgraphRewriter) 2022-11-23T01:52:34.4873021Z This tests that a placeholder Node can be matched to a Node with ... ok (0.008s) 2022-11-23T01:52:34.4873406Z test_subgraph_rewriter_preserves_logic (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4873814Z test_subgraph_rewriter_replace_consecutive_submodules (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4874237Z test_subgraph_rewriter_replace_with_duplicated_outputs (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4874680Z test_subgraph_rewriter_replace_with_multiple_outputs (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4875097Z test_subgraph_rewriter_replaces_referenced_submodules (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4875511Z test_subgraph_rewriter_single_pattern_match (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4875907Z test_subgraph_rewriter_traced_as_callable (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4876299Z test_subgraph_rewriter_with_oneliner_pattern (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4876706Z test_subgraph_rewriter_with_overlapping_matches (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4877103Z test_subgraph_rewriter_with_unused_args (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s) 2022-11-23T01:52:34.4877455Z test_torchvision_models_alexnet (__main__.TestVisionTracing) ... ok (0.486s) 2022-11-23T01:52:34.4877760Z test_torchvision_models_convnext_base (__main__.TestVisionTracing) ... ok (2.226s) 2022-11-23T01:52:34.4878080Z test_torchvision_models_convnext_large (__main__.TestVisionTracing) ... ok (3.692s) 2022-11-23T01:52:34.4878401Z test_torchvision_models_convnext_small (__main__.TestVisionTracing) ... ok (1.413s) 2022-11-23T01:52:34.4878810Z test_torchvision_models_convnext_tiny (__main__.TestVisionTracing) ... ok (0.778s) 2022-11-23T01:52:34.4879132Z test_torchvision_models_densenet121 (__main__.TestVisionTracing) ... ok (1.796s) 2022-11-23T01:52:34.4879444Z test_torchvision_models_densenet161 (__main__.TestVisionTracing) ... ok (2.544s) 2022-11-23T01:52:34.4879755Z test_torchvision_models_densenet169 (__main__.TestVisionTracing) ... ok (2.432s) 2022-11-23T01:52:34.4880051Z test_torchvision_models_densenet201 (__main__.TestVisionTracing) ... ok (2.766s) 2022-11-23T01:52:34.4880865Z test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn (__main__.TestVisionTracing) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained_backbone' is deprecated since 0.13 and may be removed in the future, please use 'weights_backbone' instead. 2022-11-23T01:52:34.4881358Z warnings.warn( 2022-11-23T01:52:34.4882017Z /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights_backbone' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights_backbone=None`. 2022-11-23T01:52:34.4882449Z warnings.warn(msg) 2022-11-23T01:52:34.4882624Z ok (0.176s) 2022-11-23T01:52:34.4882907Z test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn (__main__.TestVisionTracing) ... ok (0.173s) 2022-11-23T01:52:34.4883279Z test_torchvision_models_detection_fasterrcnn_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.390s) 2022-11-23T01:52:34.4883633Z test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2 (__main__.TestVisionTracing) ... ok (0.421s) 2022-11-23T01:52:34.4883987Z test_torchvision_models_detection_fcos_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.372s) 2022-11-23T01:52:34.4884343Z test_torchvision_models_detection_keypointrcnn_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.579s) 2022-11-23T01:52:34.4884694Z test_torchvision_models_detection_maskrcnn_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.419s) 2022-11-23T01:52:34.4885286Z test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2 (__main__.TestVisionTracing) ... ok (0.580s) 2022-11-23T01:52:34.4885648Z test_torchvision_models_detection_retinanet_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.375s) 2022-11-23T01:52:34.4886008Z test_torchvision_models_detection_retinanet_resnet50_fpn_v2 (__main__.TestVisionTracing) ... ok (0.417s) 2022-11-23T01:52:34.4886338Z test_torchvision_models_detection_ssd300_vgg16 (__main__.TestVisionTracing) ... ok (1.856s) 2022-11-23T01:52:34.4886734Z test_torchvision_models_detection_ssdlite320_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (0.118s) 2022-11-23T01:52:34.4887076Z test_torchvision_models_efficientnet_b0 (__main__.TestVisionTracing) ... ok (1.079s) 2022-11-23T01:52:34.4887398Z test_torchvision_models_efficientnet_b1 (__main__.TestVisionTracing) ... ok (1.355s) 2022-11-23T01:52:34.4887699Z test_torchvision_models_efficientnet_b2 (__main__.TestVisionTracing) ... ok (1.464s) 2022-11-23T01:52:34.4888020Z test_torchvision_models_efficientnet_b3 (__main__.TestVisionTracing) ... ok (1.883s) 2022-11-23T01:52:34.4888334Z test_torchvision_models_efficientnet_b4 (__main__.TestVisionTracing) ... ok (2.179s) 2022-11-23T01:52:34.4888637Z test_torchvision_models_efficientnet_b5 (__main__.TestVisionTracing) ... ok (2.975s) 2022-11-23T01:52:34.4888955Z test_torchvision_models_efficientnet_b6 (__main__.TestVisionTracing) ... ok (3.590s) 2022-11-23T01:52:34.4889272Z test_torchvision_models_efficientnet_b7 (__main__.TestVisionTracing) ... ok (4.568s) 2022-11-23T01:52:34.4889590Z test_torchvision_models_efficientnet_v2_l (__main__.TestVisionTracing) ... ok (6.388s) 2022-11-23T01:52:34.4889901Z test_torchvision_models_efficientnet_v2_m (__main__.TestVisionTracing) ... ok (4.123s) 2022-11-23T01:52:34.4890222Z test_torchvision_models_efficientnet_v2_s (__main__.TestVisionTracing) ... ok (2.823s) 2022-11-23T01:52:34.4891133Z test_torchvision_models_googlenet (__main__.TestVisionTracing) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/googlenet.py:47: FutureWarning: The default weight initialization of GoogleNet will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True. 2022-11-23T01:52:34.4891683Z warnings.warn( 2022-11-23T01:52:34.4891843Z ok (1.013s) 2022-11-23T01:52:34.4892657Z test_torchvision_models_inception_v3 (__main__.TestVisionTracing) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/inception.py:43: FutureWarning: The default weight initialization of inception_v3 will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True. 2022-11-23T01:52:34.4893191Z warnings.warn( 2022-11-23T01:52:34.4893357Z ok (1.520s) 2022-11-23T01:52:34.4894055Z test_torchvision_models_maxvit_t (__main__.TestVisionTracing) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:3433.) 2022-11-23T01:52:34.4894662Z return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] 2022-11-23T01:52:34.4894885Z ok (3.180s) 2022-11-23T01:52:34.4895124Z test_torchvision_models_mnasnet0_5 (__main__.TestVisionTracing) ... ok (0.778s) 2022-11-23T01:52:34.4895425Z test_torchvision_models_mnasnet0_75 (__main__.TestVisionTracing) ... ok (0.770s) 2022-11-23T01:52:34.4895741Z test_torchvision_models_mnasnet1_0 (__main__.TestVisionTracing) ... ok (0.745s) 2022-11-23T01:52:34.4896039Z test_torchvision_models_mnasnet1_3 (__main__.TestVisionTracing) ... ok (1.007s) 2022-11-23T01:52:34.4896341Z test_torchvision_models_mobilenet_v2 (__main__.TestVisionTracing) ... ok (0.850s) 2022-11-23T01:52:34.4896702Z test_torchvision_models_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (1.040s) 2022-11-23T01:52:34.4897030Z test_torchvision_models_mobilenet_v3_small (__main__.TestVisionTracing) ... ok (0.811s) 2022-11-23T01:52:34.4897347Z test_torchvision_models_regnet_x_16gf (__main__.TestVisionTracing) ... ok (2.121s) 2022-11-23T01:52:34.4897650Z test_torchvision_models_regnet_x_1_6gf (__main__.TestVisionTracing) ... ok (1.289s) 2022-11-23T01:52:34.4898007Z test_torchvision_models_regnet_x_32gf (__main__.TestVisionTracing) ... ok (3.282s) 2022-11-23T01:52:34.4898320Z test_torchvision_models_regnet_x_3_2gf (__main__.TestVisionTracing) ... ok (1.888s) 2022-11-23T01:52:34.4898617Z test_torchvision_models_regnet_x_400mf (__main__.TestVisionTracing) ... ok (1.439s) 2022-11-23T01:52:34.4898922Z test_torchvision_models_regnet_x_800mf (__main__.TestVisionTracing) ... ok (1.118s) 2022-11-23T01:52:34.4899232Z test_torchvision_models_regnet_x_8gf (__main__.TestVisionTracing) ... ok (2.049s) 2022-11-23T01:52:34.4899549Z test_torchvision_models_regnet_y_128gf (__main__.TestVisionTracing) ... ok (13.169s) 2022-11-23T01:52:34.4899848Z test_torchvision_models_regnet_y_16gf (__main__.TestVisionTracing) ... ok (2.778s) 2022-11-23T01:52:34.4900159Z test_torchvision_models_regnet_y_1_6gf (__main__.TestVisionTracing) ... ok (2.505s) 2022-11-23T01:52:34.4900468Z test_torchvision_models_regnet_y_32gf (__main__.TestVisionTracing) ... ok (4.215s) 2022-11-23T01:52:34.4900767Z test_torchvision_models_regnet_y_3_2gf (__main__.TestVisionTracing) ... ok (2.161s) 2022-11-23T01:52:34.4901072Z test_torchvision_models_regnet_y_400mf (__main__.TestVisionTracing) ... ok (1.592s) 2022-11-23T01:52:34.4901378Z test_torchvision_models_regnet_y_800mf (__main__.TestVisionTracing) ... ok (1.420s) 2022-11-23T01:52:34.4901683Z test_torchvision_models_regnet_y_8gf (__main__.TestVisionTracing) ... ok (2.283s) 2022-11-23T01:52:34.4901980Z test_torchvision_models_resnet101 (__main__.TestVisionTracing) ... ok (1.890s) 2022-11-23T01:52:34.4902284Z test_torchvision_models_resnet152 (__main__.TestVisionTracing) ... ok (2.673s) 2022-11-23T01:52:34.4902588Z test_torchvision_models_resnet18 (__main__.TestVisionTracing) ... ok (0.488s) 2022-11-23T01:52:34.4902874Z test_torchvision_models_resnet34 (__main__.TestVisionTracing) ... ok (0.791s) 2022-11-23T01:52:34.4903173Z test_torchvision_models_resnet50 (__main__.TestVisionTracing) ... ok (0.997s) 2022-11-23T01:52:34.4903485Z test_torchvision_models_resnext101_32x8d (__main__.TestVisionTracing) ... ok (2.733s) 2022-11-23T01:52:34.4903800Z test_torchvision_models_resnext101_64x4d (__main__.TestVisionTracing) ... ok (2.508s) 2022-11-23T01:52:34.4904100Z test_torchvision_models_resnext50_32x4d (__main__.TestVisionTracing) ... ok (1.051s) 2022-11-23T01:52:34.4904448Z test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (1.301s) 2022-11-23T01:52:34.4904819Z test_torchvision_models_segmentation_deeplabv3_resnet101 (__main__.TestVisionTracing) ... ok (2.099s) 2022-11-23T01:52:34.4905175Z test_torchvision_models_segmentation_deeplabv3_resnet50 (__main__.TestVisionTracing) ... ok (1.202s) 2022-11-23T01:52:34.4905515Z test_torchvision_models_segmentation_fcn_resnet101 (__main__.TestVisionTracing) ... ok (2.050s) 2022-11-23T01:52:34.4905858Z test_torchvision_models_segmentation_fcn_resnet50 (__main__.TestVisionTracing) ... ok (1.044s) 2022-11-23T01:52:34.4906215Z test_torchvision_models_segmentation_lraspp_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (1.068s) 2022-11-23T01:52:34.4906551Z test_torchvision_models_shufflenet_v2_x0_5 (__main__.TestVisionTracing) ... ok (0.879s) 2022-11-23T01:52:34.4906867Z test_torchvision_models_shufflenet_v2_x1_0 (__main__.TestVisionTracing) ... ok (1.003s) 2022-11-23T01:52:34.4907174Z test_torchvision_models_shufflenet_v2_x1_5 (__main__.TestVisionTracing) ... ok (0.998s) 2022-11-23T01:52:34.4907487Z test_torchvision_models_shufflenet_v2_x2_0 (__main__.TestVisionTracing) ... ok (1.049s) 2022-11-23T01:52:34.4907819Z test_torchvision_models_squeezenet1_0 (__main__.TestVisionTracing) ... ok (0.347s) 2022-11-23T01:52:34.4908134Z test_torchvision_models_squeezenet1_1 (__main__.TestVisionTracing) ... ok (0.300s) 2022-11-23T01:52:34.4908438Z test_torchvision_models_swin_b (__main__.TestVisionTracing) ... ok (3.324s) 2022-11-23T01:52:34.4908725Z test_torchvision_models_swin_s (__main__.TestVisionTracing) ... ok (2.426s) 2022-11-23T01:52:34.4909056Z test_torchvision_models_swin_t (__main__.TestVisionTracing) ... ok (1.308s) 2022-11-23T01:52:34.4909360Z test_torchvision_models_swin_v2_b (__main__.TestVisionTracing) ... ok (3.808s) 2022-11-23T01:52:34.4909661Z test_torchvision_models_swin_v2_s (__main__.TestVisionTracing) ... ok (2.978s) 2022-11-23T01:52:34.4909945Z test_torchvision_models_swin_v2_t (__main__.TestVisionTracing) ... ok (1.577s) 2022-11-23T01:52:34.4910242Z test_torchvision_models_vgg11 (__main__.TestVisionTracing) ... ok (1.605s) 2022-11-23T01:52:34.4910547Z test_torchvision_models_vgg11_bn (__main__.TestVisionTracing) ... ok (1.802s) 2022-11-23T01:52:34.4910834Z test_torchvision_models_vgg13 (__main__.TestVisionTracing) ... ok (1.833s) 2022-11-23T01:52:34.4911130Z test_torchvision_models_vgg13_bn (__main__.TestVisionTracing) ... ok (1.699s) 2022-11-23T01:52:34.4911426Z test_torchvision_models_vgg16 (__main__.TestVisionTracing) ... ok (1.936s) 2022-11-23T01:52:34.4911720Z test_torchvision_models_vgg16_bn (__main__.TestVisionTracing) ... ok (2.056s) 2022-11-23T01:52:34.4912004Z test_torchvision_models_vgg19 (__main__.TestVisionTracing) ... ok (1.890s) 2022-11-23T01:52:34.4912297Z test_torchvision_models_vgg19_bn (__main__.TestVisionTracing) ... ok (2.004s) 2022-11-23T01:52:34.4912601Z test_torchvision_models_video_mc3_18 (__main__.TestVisionTracing) ... ok (0.919s) 2022-11-23T01:52:34.4912901Z test_torchvision_models_video_mvit_v1_b (__main__.TestVisionTracing) ... ok (4.712s) 2022-11-23T01:52:34.4913219Z test_torchvision_models_video_mvit_v2_s (__main__.TestVisionTracing) ... ok (5.636s) 2022-11-23T01:52:34.4913538Z test_torchvision_models_video_r2plus1d_18 (__main__.TestVisionTracing) ... ok (1.300s) 2022-11-23T01:52:34.4913849Z test_torchvision_models_video_r3d_18 (__main__.TestVisionTracing) ... ok (1.340s) 2022-11-23T01:52:34.4914144Z test_torchvision_models_video_s3d (__main__.TestVisionTracing) ... ok (2.560s) 2022-11-23T01:52:34.4914455Z test_torchvision_models_video_swin3d_b (__main__.TestVisionTracing) ... ok (3.460s) 2022-11-23T01:52:34.4914768Z test_torchvision_models_video_swin3d_s (__main__.TestVisionTracing) ... ok (2.963s) 2022-11-23T01:52:34.4915067Z test_torchvision_models_video_swin3d_t (__main__.TestVisionTracing) ... ok (1.503s) 2022-11-23T01:52:34.4915370Z test_torchvision_models_vit_b_16 (__main__.TestVisionTracing) ... ok (2.075s) 2022-11-23T01:52:34.4915665Z test_torchvision_models_vit_b_32 (__main__.TestVisionTracing) ... ok (1.875s) 2022-11-23T01:52:34.4915967Z test_torchvision_models_vit_h_14 (__main__.TestVisionTracing) ... ok (11.324s) 2022-11-23T01:52:34.4916253Z test_torchvision_models_vit_l_16 (__main__.TestVisionTracing) ... ok (6.209s) 2022-11-23T01:52:34.4916547Z test_torchvision_models_vit_l_32 (__main__.TestVisionTracing) ... ok (5.454s) 2022-11-23T01:52:34.4916858Z test_torchvision_models_wide_resnet101_2 (__main__.TestVisionTracing) ... ok (3.129s) 2022-11-23T01:52:34.4917161Z test_torchvision_models_wide_resnet50_2 (__main__.TestVisionTracing) ... ok (1.643s) 2022-11-23T01:52:34.4917486Z test_flatten_fully_static (fx.test_gradual_type.TypeCheckerTest) ... ok (0.016s) 2022-11-23T01:52:34.4917795Z test_resnet50 (fx.test_gradual_type.TypeCheckerTest) ... ok (1.241s) 2022-11-23T01:52:34.4918111Z test_symbolic_add_with_broadcast (fx.test_gradual_type.TypeCheckerTest) ... ok (0.005s) 2022-11-23T01:52:34.4918441Z test_symbolic_add_with_broadcast_2 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4918889Z test_type_check_add_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4919210Z test_type_check_add_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s) 2022-11-23T01:52:34.4919527Z test_type_check_add_with_broadcast (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4919868Z test_type_check_add_with_scalar (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4920197Z test_type_check_batch_norm_2D (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s) 2022-11-23T01:52:34.4920575Z test_type_check_batch_norm_2D_broadcast (fx.test_gradual_type.TypeCheckerTest) ... ok (0.007s) 2022-11-23T01:52:34.4920907Z test_type_check_batch_norm_2D_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s) 2022-11-23T01:52:34.4921242Z test_type_check_batch_norm_symbolic (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s) 2022-11-23T01:52:34.4921564Z test_type_check_conv2D (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s) 2022-11-23T01:52:34.4921883Z test_type_check_conv2D_2 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.008s) 2022-11-23T01:52:34.4922198Z test_type_check_conv2D_2_fully_static (fx.test_gradual_type.TypeCheckerTest) ... ok (0.030s) 2022-11-23T01:52:34.4922542Z test_type_check_conv2D_maxpool2d_flatten (fx.test_gradual_type.TypeCheckerTest) ... ok (0.005s) 2022-11-23T01:52:34.4922878Z test_type_check_conv2D_types (fx.test_gradual_type.TypeCheckerTest) ... ok (0.008s) 2022-11-23T01:52:34.4923186Z test_type_check_flatten (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4923506Z test_type_check_flatten3 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4923823Z test_type_check_flatten_2 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4924149Z test_type_check_reshape_dyn_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4924472Z test_type_check_reshape_dyn_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4924951Z test_type_check_reshape_dyn_true_param_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4925302Z test_type_check_reshape_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4925613Z test_type_check_reshape_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4925987Z test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten (fx.test_gradual_type.TypeCheckerTest) ... ok (0.020s) 2022-11-23T01:52:34.4926355Z test_type_check_transpose_False (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4926689Z test_type_check_transpose_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4927013Z test_type_maxpool2d_fully_static (fx.test_gradual_type.TypeCheckerTest) ... ok (0.026s) 2022-11-23T01:52:34.4927360Z test_type_typechecl_maxpool2d_3dinput (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s) 2022-11-23T01:52:34.4927705Z test_typecheck_basicblock (fx.test_gradual_type.TypeCheckerTest) ... ok (0.007s) 2022-11-23T01:52:34.4927889Z 2022-11-23T01:52:34.4928117Z ---------------------------------------------------------------------- 2022-11-23T01:52:34.4928349Z Ran 526 tests in 229.091s 2022-11-23T01:52:34.4928464Z 2022-11-23T01:52:34.4928536Z OK (skipped=3) 2022-11-23T01:52:34.4928641Z 2022-11-23T01:52:34.4928725Z Generating XML reports... 2022-11-23T01:52:34.4929144Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_gradual_type.AnnotationsTest-20221123014841.xml 2022-11-23T01:52:34.4929679Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_cse_pass.TestCSEPass-20221123014841.xml 2022-11-23T01:52:34.4930207Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_common_passes.TestCommonPass-20221123014841.xml 2022-11-23T01:52:34.4930733Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_fx_const_fold.TestConstFold-20221123014841.xml 2022-11-23T01:52:34.4931390Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow-20221123014841.xml 2022-11-23T01:52:34.4931960Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_dce_pass.TestDCE-20221123014841.xml 2022-11-23T01:52:34.4932411Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestFX-20221123014841.xml 2022-11-23T01:52:34.4932923Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestFXAPIBackwardCompatibility-20221123014841.xml 2022-11-23T01:52:34.4933491Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestFunctionalTracing-20221123014841.xml 2022-11-23T01:52:34.4934016Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_pass_infra.TestPassManager-20221123014841.xml 2022-11-23T01:52:34.4934578Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_subgraph_rewriter.TestSubgraphRewriter-20221123014841.xml 2022-11-23T01:52:34.4935109Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestVisionTracing-20221123014841.xml 2022-11-23T01:52:34.4935613Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_gradual_type.TypeCheckerTest-20221123014841.xml 2022-11-23T01:52:34.4935850Z 2022-11-23T01:52:34.4936192Z ##[endgroup] 2022-11-23T01:52:34.4936543Z FINISHED PRINTING LOG FILE of test_fx (/var/lib/jenkins/workspace/test/test-reports/test_fx_lafwjojv) 2022-11-23T01:52:34.4936732Z 2022-11-23T01:52:34.4936916Z Running test_indexing ... [2022-11-23 01:52:34.474788] 2022-11-23T01:52:34.4937376Z Executing ['/opt/conda/bin/python', '-bb', 'test_indexing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:34.475024] 2022-11-23T01:52:36.5298769Z 2022-11-23T01:52:36.5299415Z Expand the folded group to see the log file of test_indexing 2022-11-23T01:52:36.5300281Z ##[group]PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_sg3gf6i2) 2022-11-23T01:52:36.5300523Z 2022-11-23T01:52:36.5300612Z Running tests... 2022-11-23T01:52:36.5301086Z ---------------------------------------------------------------------- 2022-11-23T01:52:36.5301262Z 2022-11-23T01:52:36.5301512Z ---------------------------------------------------------------------- 2022-11-23T01:52:36.5301758Z Ran 0 tests in 0.000s 2022-11-23T01:52:36.5301925Z 2022-11-23T01:52:36.5301997Z OK 2022-11-23T01:52:36.5302088Z 2022-11-23T01:52:36.5302192Z Generating XML reports... 2022-11-23T01:52:36.5302566Z Test results will be stored in test-reports/python-unittest/test_indexing 2022-11-23T01:52:36.5302748Z 2022-11-23T01:52:36.5303027Z ##[endgroup] 2022-11-23T01:52:36.5303747Z FINISHED PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_sg3gf6i2) 2022-11-23T01:52:36.5304085Z 2022-11-23T01:52:36.5304335Z Running test_jit_cuda_fuser ... [2022-11-23 01:52:36.529889] 2022-11-23T01:52:36.5305058Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_cuda_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:36.530146] 2022-11-23T01:52:39.5057990Z 2022-11-23T01:52:39.5058505Z Expand the folded group to see the log file of test_jit_cuda_fuser 2022-11-23T01:52:39.5060438Z ##[group]PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_f15bwq7f) 2022-11-23T01:52:39.5060731Z 2022-11-23T01:52:39.5060833Z Running tests... 2022-11-23T01:52:39.5061309Z ---------------------------------------------------------------------- 2022-11-23T01:52:39.5061760Z Test results will be stored in test-reports/python-unittest/test_jit_cuda_fuser 2022-11-23T01:52:39.5062161Z test__softmax_function (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5062490Z test__softmax_function_half_to_float (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5062811Z test_addcmul_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5063368Z test_alias_pass_fix (__main__.TestCudaFuser) ... skip: skipping this test since unsqueeze is disabled now (0.001s) 2022-11-23T01:52:39.5063723Z test_autocast_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5064066Z test_autocast_1_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5064352Z test_autocast_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5064652Z test_autocast_2_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5065016Z test_backward_type (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5065316Z test_batch_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5065628Z test_batch_norm_impl_index_correctness (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5065971Z test_batch_norm_impl_index_inner_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5066304Z test_bfloat (__main__.TestCudaFuser) ... skip: device does not support BFloat16 (0.001s) 2022-11-23T01:52:39.5066608Z test_binary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5066905Z test_binary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5067228Z test_binary_ops_channels_last_with_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5067627Z test_binary_ops_complex (__main__.TestCudaFuser) ... skip: see issue https://github.com/csarofeen/pytorch/issues/1730 (0.001s) 2022-11-23T01:52:39.5067978Z test_binary_ops_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5068279Z test_branches (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5068578Z test_broadcasting_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5068868Z test_broadcasting_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5069163Z test_broadcasting_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5069455Z test_broadcasting_3 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5069922Z test_broadcasting_multiple_output (__main__.TestCudaFuser) ... skip: broadcast on branches can't be resolved yet (0.001s) 2022-11-23T01:52:39.5070325Z test_broadcasting_multiple_output_shape (__main__.TestCudaFuser) ... skip: Broadcast with different output not supported yet (0.001s) 2022-11-23T01:52:39.5070706Z test_broadcasting_partition_logic_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5081503Z test_broadcasting_partition_logic_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5081880Z test_build_shape_expression_native_dropout (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5082210Z test_category_rule (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-11-23T01:52:39.5082535Z test_channels_last_with_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-11-23T01:52:39.5082843Z test_chunk (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5083129Z test_clamp (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5083419Z test_clamp_reversed_bound (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5083741Z test_clean_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5084037Z test_const (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5084329Z test_contiguous_on_broadcasted (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5084640Z test_conv2d_bias (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5085145Z test_conv2d_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5085577Z test_cpu_scalar (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5085871Z test_cuda_fusion_guard (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5086194Z test_cuda_fusion_guard_backward (__main__.TestCudaFuser) ... skip: requires NVFuser (0.001s) 2022-11-23T01:52:39.5086516Z test_device_constant (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5086915Z test_disable_const_chunk_propagation_for_normalization (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5087262Z test_disable_sibling_fuse (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5087580Z test_dropout_inference_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5087918Z test_dropout_train_nograd_fusion (__main__.TestCudaFuser) ... skip: not enough memory (0.001s) 2022-11-23T01:52:39.5088245Z test_dropout_train_nograd_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5088572Z test_dropout_training_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5088898Z test_dropout_training_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5089212Z test_dynamic_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5089491Z test_expand (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5089798Z test_fix_shape_expression_bn (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5090143Z test_flatten (__main__.TestCudaFuser) ... skip: skipping this test since flatten is disabled now (0.001s) 2022-11-23T01:52:39.5090451Z test_gelu (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5090744Z test_grad_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-11-23T01:52:39.5091081Z test_graph_for_with_missing_optimized_engine (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5091401Z test_graph_rng (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5091676Z test_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5091968Z test_high_rank_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5092272Z test_inf_quick_patch (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5092565Z test_inplace_removal (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5092883Z test_input_output_passthrough (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5093198Z test_int_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5093498Z test_issue1445_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5093776Z test_issue_1785 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5094073Z test_layer_norm_autodiff (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5094381Z test_layer_norm_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5094689Z test_layer_norm_trivial_reduce_dim (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5094995Z test_linear (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5095299Z test_linear_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5095613Z test_multiple_device_pw (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5095915Z test_native_batch_norm_backward (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5096231Z test_native_layer_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5096574Z test_native_layer_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5096880Z test_native_layer_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5097221Z test_nested_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.000s) 2022-11-23T01:52:39.5097554Z test_no_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5097842Z test_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5098146Z test_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5098445Z test_norm_channels_last (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5098741Z test_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5099023Z test_norm_half_layer (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5099319Z test_norm_large (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5099626Z test_normalization_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5099972Z test_nvfuser_comparison_callbacks_with_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5100330Z test_nvfuser_comparison_callbacks_without_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5100667Z test_overlapped_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5100992Z test_permutation_preservation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5101322Z test_permutation_preservation_edge_case_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5101683Z test_permutation_preservation_edge_case_1_broken (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5102044Z test_permutation_preservation_edge_case_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5102360Z test_permute (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5102656Z test_pointwise_reference_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5102970Z test_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5103290Z test_profile_ivalue_multiple_profiles (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5103644Z test_profiling_node (__main__.TestCudaFuser) ... skip: Skipped due to rand_like behavior change (0.000s) 2022-11-23T01:52:39.5103975Z test_pw_single_reduction_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5104289Z test_random_topo (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5104582Z test_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5104878Z test_reduction_dtypes_axis (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5105194Z test_reduction_empty_axes (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5105514Z test_reduction_multiple_output (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5105837Z test_reduction_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5106140Z test_reduction_sizes_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5106465Z test_remove_output_used_only_in_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5106769Z test_rsub (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5107052Z test_scalar_cuda_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5107358Z test_scalar_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5107687Z test_scalar_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5107997Z test_scalar_tensor_permuted (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5108328Z test_scheduler_with_polymorphic_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5108726Z test_shape_expression (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s) 2022-11-23T01:52:39.5109162Z test_sibling_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5109471Z test_sibling_fusion_no_scalar_inputs (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5109802Z test_single_reduction_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5110117Z test_singleton_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5110415Z test_skip_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5110698Z test_softmax (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5110992Z test_softmax_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5111292Z test_softmax_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5111573Z test_softmax_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5111871Z test_softplus_fuser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5112219Z test_squeeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s) 2022-11-23T01:52:39.5112614Z test_squeeze_negative_dim (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s) 2022-11-23T01:52:39.5113001Z test_squeeze_zero (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s) 2022-11-23T01:52:39.5113344Z test_strict_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5113636Z test_sum_to_one (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5113926Z test_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5114205Z test_ternary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s) 2022-11-23T01:52:39.5114530Z test_ternary_ops_integer_compatibility (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5114869Z test_ternary_ops_type_promotion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5115164Z test_to_boolean (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5115451Z test_to_copy (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5115747Z test_to_dtype_bf16_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5116055Z test_to_dtype_bf16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5116349Z test_to_dtype_fp16_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5116658Z test_to_dtype_fp16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5116961Z test_to_dtype_fp32_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5117249Z test_to_dtype_fp32_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5117553Z test_transpose (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5117855Z test_transpose_default (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5118164Z test_trivial_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5118450Z test_type_as_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5118943Z test_type_inference (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5119245Z test_unary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5119525Z test_unary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5119866Z test_unsqueeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s) 2022-11-23T01:52:39.5120201Z test_variance (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5120535Z test_variance_profiling (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5120856Z test_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.000s) 2022-11-23T01:52:39.5121184Z test_view_before_permute (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5121535Z test_view_copy_graph_guard (__main__.TestCudaFuser) ... skip: skipping this test since reshape is disabled now (0.000s) 2022-11-23T01:52:39.5121934Z test_view_copy_graph_guard_double_fusion (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.001s) 2022-11-23T01:52:39.5122317Z test_can_be_enabled_nvfuser (__main__.TestEnableDisableCudaFuser) ... ok (0.002s) 2022-11-23T01:52:39.5122666Z test_context_manager_test (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:52:39.5123023Z test_register_fuser (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:52:39.5123344Z test_register_fuser_cpu (__main__.TestEnableDisableCudaFuser) ... ok (0.004s) 2022-11-23T01:52:39.5123670Z test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... ok (0.056s) 2022-11-23T01:52:39.5123848Z 2022-11-23T01:52:39.5124131Z ---------------------------------------------------------------------- 2022-11-23T01:52:39.5124374Z Ran 158 tests in 0.176s 2022-11-23T01:52:39.5124476Z 2022-11-23T01:52:39.5124549Z OK (skipped=155) 2022-11-23T01:52:39.5124662Z 2022-11-23T01:52:39.5124880Z Generating XML reports... 2022-11-23T01:52:39.5125357Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestEnableDisableCudaFuser-20221123015238.xml 2022-11-23T01:52:39.5125932Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-jit.test_fuser_common.TestFuserCommon-20221123015238.xml 2022-11-23T01:52:39.5126460Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestCudaFuser-20221123015238.xml 2022-11-23T01:52:39.5126689Z 2022-11-23T01:52:39.5127011Z ##[endgroup] 2022-11-23T01:52:39.5127393Z FINISHED PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_f15bwq7f) 2022-11-23T01:52:39.5127610Z 2022-11-23T01:52:39.5127801Z Running test_jit_disabled ... [2022-11-23 01:52:39.506041] 2022-11-23T01:52:39.5128273Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_disabled.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:39.506260] 2022-11-23T01:52:41.6107653Z 2022-11-23T01:52:41.6108192Z Expand the folded group to see the log file of test_jit_disabled 2022-11-23T01:52:41.6108969Z ##[group]PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_cbwo5obo) 2022-11-23T01:52:41.6109209Z 2022-11-23T01:52:41.6109287Z Running tests... 2022-11-23T01:52:41.6109718Z ---------------------------------------------------------------------- 2022-11-23T01:52:41.6110283Z Test results will be stored in test-reports/python-unittest/test_jit_disabled 2022-11-23T01:52:41.6110644Z test_attribute (__main__.TestJitDisabled) ... ok (0.286s) 2022-11-23T01:52:41.6110923Z test_recursive_script (__main__.TestJitDisabled) ... ok (0.034s) 2022-11-23T01:52:41.6113182Z test_script_module_construction (__main__.TestJitDisabled) ... ok (0.034s) 2022-11-23T01:52:41.6113491Z 2022-11-23T01:52:41.6113846Z ---------------------------------------------------------------------- 2022-11-23T01:52:41.6114208Z Ran 3 tests in 0.355s 2022-11-23T01:52:41.6114561Z 2022-11-23T01:52:41.6114679Z OK 2022-11-23T01:52:41.6114852Z 2022-11-23T01:52:41.6114994Z Generating XML reports... 2022-11-23T01:52:41.6115554Z Generated XML report: test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20221123015240.xml 2022-11-23T01:52:41.6115795Z 2022-11-23T01:52:41.6126182Z ##[endgroup] 2022-11-23T01:52:41.6126741Z FINISHED PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_cbwo5obo) 2022-11-23T01:52:41.6127120Z 2022-11-23T01:52:41.6127288Z Running test_linalg ... [2022-11-23 01:52:41.610902] 2022-11-23T01:52:41.6127755Z Executing ['/opt/conda/bin/python', '-bb', 'test_linalg.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:41.611169] 2022-11-23T01:52:43.6648785Z 2022-11-23T01:52:43.6649331Z Expand the folded group to see the log file of test_linalg 2022-11-23T01:52:43.6650379Z ##[group]PRINTING LOG FILE of test_linalg (/var/lib/jenkins/workspace/test/test-reports/test_linalg_8nkp3q_c) 2022-11-23T01:52:43.6650710Z 2022-11-23T01:52:43.6650816Z Running tests... 2022-11-23T01:52:43.6651367Z ---------------------------------------------------------------------- 2022-11-23T01:52:43.6651599Z 2022-11-23T01:52:43.6651891Z ---------------------------------------------------------------------- 2022-11-23T01:52:43.6652259Z Ran 0 tests in 0.000s 2022-11-23T01:52:43.6652420Z 2022-11-23T01:52:43.6652506Z OK 2022-11-23T01:52:43.6652655Z 2022-11-23T01:52:43.6652764Z Generating XML reports... 2022-11-23T01:52:43.6653272Z Test results will be stored in test-reports/python-unittest/test_linalg 2022-11-23T01:52:43.6653553Z 2022-11-23T01:52:43.6653935Z ##[endgroup] 2022-11-23T01:52:43.6654484Z FINISHED PRINTING LOG FILE of test_linalg (/var/lib/jenkins/workspace/test/test-reports/test_linalg_8nkp3q_c) 2022-11-23T01:52:43.6654818Z 2022-11-23T01:52:43.6655035Z Running test_mobile_optimizer ... [2022-11-23 01:52:43.665027] 2022-11-23T01:52:43.6655532Z Executing ['/opt/conda/bin/python', '-bb', 'test_mobile_optimizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:43.665310] 2022-11-23T01:52:48.0446992Z 2022-11-23T01:52:48.0447458Z Expand the folded group to see the log file of test_mobile_optimizer 2022-11-23T01:52:48.0448498Z ##[group]PRINTING LOG FILE of test_mobile_optimizer (/var/lib/jenkins/workspace/test/test-reports/test_mobile_optimizer_5xrmtsi_) 2022-11-23T01:52:48.0448807Z 2022-11-23T01:52:48.0448898Z Running tests... 2022-11-23T01:52:48.0449317Z ---------------------------------------------------------------------- 2022-11-23T01:52:48.0449896Z Test results will be stored in test-reports/python-unittest/test_mobile_optimizer 2022-11-23T01:52:48.0450479Z test_clone_module_with_class (__main__.TestOptimizer) ... ok (0.261s) 2022-11-23T01:52:48.0451919Z test_generate_mobile_module_lints (__main__.TestOptimizer) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:52:48.0452417Z warnings.warn(message, UserWarning) 2022-11-23T01:52:48.0452615Z ok (0.031s) 2022-11-23T01:52:48.0452941Z test_hoist_conv_packed_params (__main__.TestOptimizer) ... ok (0.445s) 2022-11-23T01:52:48.0453392Z test_mobilenet_optimize_for_mobile (__main__.TestOptimizer) ... ok (1.360s) 2022-11-23T01:52:48.0453801Z test_optimize_for_mobile (__main__.TestOptimizer) ... ok (0.174s) 2022-11-23T01:52:48.0454098Z test_preserve_bundled_inputs_methods (__main__.TestOptimizer) ... ok (0.039s) 2022-11-23T01:52:48.0454416Z test_quantized_conv_no_asan_failures (__main__.TestOptimizer) ... ok (0.120s) 2022-11-23T01:52:48.0454587Z 2022-11-23T01:52:48.0454801Z ---------------------------------------------------------------------- 2022-11-23T01:52:48.0455030Z Ran 7 tests in 2.430s 2022-11-23T01:52:48.0455150Z 2022-11-23T01:52:48.0455210Z OK 2022-11-23T01:52:48.0455481Z 2022-11-23T01:52:48.0455568Z Generating XML reports... 2022-11-23T01:52:48.0455977Z Generated XML report: test-reports/python-unittest/test_mobile_optimizer/TEST-TestOptimizer-20221123015245.xml 2022-11-23T01:52:48.0486789Z 2022-11-23T01:52:48.0487393Z ##[endgroup] 2022-11-23T01:52:48.0487901Z FINISHED PRINTING LOG FILE of test_mobile_optimizer (/var/lib/jenkins/workspace/test/test-reports/test_mobile_optimizer_5xrmtsi_) 2022-11-23T01:52:48.0488271Z 2022-11-23T01:52:48.0488439Z Running test_modules ... [2022-11-23 01:52:48.044785] 2022-11-23T01:52:48.0488909Z Executing ['/opt/conda/bin/python', '-bb', 'test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:48.045097] 2022-11-23T01:52:50.6719432Z 2022-11-23T01:52:50.6719939Z Expand the folded group to see the log file of test_modules 2022-11-23T01:52:50.6720912Z ##[group]PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_lmfx9zj4) 2022-11-23T01:52:50.6721776Z 2022-11-23T01:52:50.6721930Z Running tests... 2022-11-23T01:52:50.6722606Z ---------------------------------------------------------------------- 2022-11-23T01:52:50.6722920Z 2022-11-23T01:52:50.6723283Z ---------------------------------------------------------------------- 2022-11-23T01:52:50.6723679Z Ran 0 tests in 0.000s 2022-11-23T01:52:50.6723882Z 2022-11-23T01:52:50.6723993Z OK 2022-11-23T01:52:50.6724150Z 2022-11-23T01:52:50.6724263Z Generating XML reports... 2022-11-23T01:52:50.6724671Z Test results will be stored in test-reports/python-unittest/test_modules 2022-11-23T01:52:50.6725053Z 2022-11-23T01:52:50.6725304Z ##[endgroup] 2022-11-23T01:52:50.6725692Z FINISHED PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_lmfx9zj4) 2022-11-23T01:52:50.6725907Z 2022-11-23T01:52:50.6726080Z Running test_multiprocessing ... [2022-11-23 01:52:50.672040] 2022-11-23T01:52:50.6726571Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:50.672294] 2022-11-23T01:52:56.5372957Z 2022-11-23T01:52:56.5373490Z Expand the folded group to see the log file of test_multiprocessing 2022-11-23T01:52:56.5374449Z ##[group]PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_retk4x6b) 2022-11-23T01:52:56.5375258Z 2022-11-23T01:52:56.5375379Z Running tests... 2022-11-23T01:52:56.5375967Z ---------------------------------------------------------------------- 2022-11-23T01:52:56.5376567Z Test results will be stored in test-reports/python-unittest/test_multiprocessing 2022-11-23T01:52:56.5377026Z test_autograd_errors (__main__.TestMultiprocessing) ... ok (0.269s) 2022-11-23T01:52:56.5377932Z test_autograd_fine_with_spawn (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:52:56.5378530Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:52:56.5379232Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:52:56.5379767Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:52:56.5380570Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:52:56.5381175Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:52:56.5381954Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:52:56.5382552Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:52:56.5383283Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:52:56.5383611Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:52:56.5384215Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:52:56.5384562Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:52:56.5384786Z ok (1.403s) 2022-11-23T01:52:56.5385031Z test_cuda_bad_call (__main__.TestMultiprocessing) ... skip: CUDA not available (0.001s) 2022-11-23T01:52:56.5385383Z test_cuda_ipc_deadlock (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5385813Z test_cuda_memory_allocation (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5386177Z test_cuda_parameter_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-11-23T01:52:56.5386518Z test_cuda_send_many (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5386857Z test_cuda_simple (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-11-23T01:52:56.5387205Z test_cuda_small_tensors (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5387559Z test_cuda_variable_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-11-23T01:52:56.5387867Z test_empty_shared (__main__.TestMultiprocessing) ... ok (0.001s) 2022-11-23T01:52:56.5388162Z test_empty_tensor_sharing (__main__.TestMultiprocessing) ... ok (0.003s) 2022-11-23T01:52:56.5388502Z test_empty_tensor_sharing_cuda (__main__.TestMultiprocessing) ... skip: CUDA not available (0.000s) 2022-11-23T01:52:56.5388831Z test_event (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5389172Z test_event_handle_exporter (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5389527Z test_event_handle_importer (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5389886Z test_event_handle_multi_gpu (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5390231Z test_event_multiprocess (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5391084Z test_fd_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69660 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:56.5392105Z test_fd_preserve_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:52:56.5392590Z warnings.warn(message, UserWarning) 2022-11-23T01:52:56.5392789Z ok (0.197s) 2022-11-23T01:52:56.5393530Z test_fd_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68831 for platform(s) win, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:52:56.5394612Z test_fs (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76866 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:52:56.5395162Z test_fs_is_shared (__main__.TestMultiprocessing) ... ok (0.335s) 2022-11-23T01:52:56.5396031Z test_fs_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69659 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:52:56.5396597Z test_fs_preserve_sharing (__main__.TestMultiprocessing) ... ok (0.154s) 2022-11-23T01:52:56.5397429Z test_fs_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/67002 for platform(s) windows, mac, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:52:56.5398561Z test_inherit_tensor (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79776 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:52:56.5399476Z test_integer_parameter_serialization_cpu (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:52:56.5399883Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:52:56.5400323Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:52:56.5400674Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:52:56.5400887Z ok (1.642s) 2022-11-23T01:52:56.5401177Z test_integer_parameter_serialization_cuda (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s) 2022-11-23T01:52:56.5401521Z test_is_shared (__main__.TestMultiprocessing) ... ok (0.001s) 2022-11-23T01:52:56.5401834Z test_is_shared_cuda (__main__.TestMultiprocessing) ... skip: CUDA not available (0.000s) 2022-11-23T01:52:56.5402140Z test_leaf_variable_sharing (__main__.TestMultiprocessing) ... ok (0.016s) 2022-11-23T01:52:56.5402483Z test_mixed_types_cuda_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s) 2022-11-23T01:52:56.5402822Z test_non_leaf_variable_sharing (__main__.TestMultiprocessing) ... ok (0.002s) 2022-11-23T01:52:56.5403697Z test_parameter_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook .hook at 0x7feb945851b0> on tensor will not be serialized. If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning 2022-11-23T01:52:56.5404286Z warnings.warn("backward hook {} on tensor will not be " 2022-11-23T01:52:56.5404499Z ok (0.010s) 2022-11-23T01:52:56.5405514Z test_variable_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook .hook at 0x7feb94585630> on tensor will not be serialized. If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning 2022-11-23T01:52:56.5406110Z warnings.warn("backward hook {} on tensor will not be " 2022-11-23T01:52:56.5406312Z ok (0.019s) 2022-11-23T01:52:56.5406568Z test_wrong_cuda_fork (__main__.TestMultiprocessing) ... skip: CUDA not available (0.001s) 2022-11-23T01:52:56.5406756Z 2022-11-23T01:52:56.5406961Z ---------------------------------------------------------------------- 2022-11-23T01:52:56.5407192Z Ran 37 tests in 4.068s 2022-11-23T01:52:56.5407308Z 2022-11-23T01:52:56.5407382Z OK (skipped=24) 2022-11-23T01:52:56.5407491Z 2022-11-23T01:52:56.5407575Z Generating XML reports... 2022-11-23T01:52:56.5408075Z Generated XML report: test-reports/python-unittest/test_multiprocessing/TEST-TestMultiprocessing-20221123015252.xml 2022-11-23T01:52:56.5408314Z 2022-11-23T01:52:56.5408620Z ##[endgroup] 2022-11-23T01:52:56.5409029Z FINISHED PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_retk4x6b) 2022-11-23T01:52:56.5409261Z 2022-11-23T01:52:56.5409446Z Running test_multiprocessing_spawn ... [2022-11-23 01:52:56.537405] 2022-11-23T01:52:56.5409982Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing_spawn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:56.537722] 2022-11-23T01:52:58.6746358Z 2022-11-23T01:52:58.6746921Z Expand the folded group to see the log file of test_multiprocessing_spawn 2022-11-23T01:52:58.6747884Z ##[group]PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_ez9zj8f6) 2022-11-23T01:52:58.6748207Z 2022-11-23T01:52:58.6748286Z Running tests... 2022-11-23T01:52:58.6748694Z ---------------------------------------------------------------------- 2022-11-23T01:52:58.6749158Z Test results will be stored in test-reports/python-unittest/test_multiprocessing_spawn 2022-11-23T01:52:58.6749479Z test_errors_pickleable (__main__.ErrorTest) ... ok (0.245s) 2022-11-23T01:52:58.6749774Z test_exception_all (__main__.ForkTest) ... ok (0.082s) 2022-11-23T01:52:58.6750707Z test_exception_single (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75409 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:52:58.6752059Z test_first_argument_index (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76009 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6753241Z test_success (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76061 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6754483Z test_success_first_then_exception (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73340 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6755594Z test_success_non_blocking (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81280 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6756737Z test_terminate_exit (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81389 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6758035Z test_terminate_signal (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72927 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6759226Z test_exception_all (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74223 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6760375Z test_exception_raises (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83499 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6761580Z test_exception_single (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78982 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6762751Z test_first_argument_index (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73266 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6763331Z test_signal_raises (__main__.SpawnTest) ... ok (0.003s) 2022-11-23T01:52:58.6764146Z test_success (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72298 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6765472Z test_success_first_then_exception (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72625 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6766647Z test_success_non_blocking (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72926 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6767763Z test_terminate_exit (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72624 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6768914Z test_terminate_signal (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73341 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:52:58.6769334Z 2022-11-23T01:52:58.6769569Z ---------------------------------------------------------------------- 2022-11-23T01:52:58.6769815Z Ran 19 tests in 0.339s 2022-11-23T01:52:58.6769929Z 2022-11-23T01:52:58.6770001Z OK (skipped=16) 2022-11-23T01:52:58.6770108Z 2022-11-23T01:52:58.6770191Z Generating XML reports... 2022-11-23T01:52:58.6770639Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ErrorTest-20221123015257.xml 2022-11-23T01:52:58.6771256Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ForkTest-20221123015257.xml 2022-11-23T01:52:58.6771791Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-SpawnTest-20221123015257.xml 2022-11-23T01:52:58.6772035Z 2022-11-23T01:52:58.6772287Z ##[endgroup] 2022-11-23T01:52:58.6772759Z FINISHED PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_ez9zj8f6) 2022-11-23T01:52:58.6773051Z 2022-11-23T01:52:58.6773253Z Running test_namedtuple_return_api ... [2022-11-23 01:52:58.674982] 2022-11-23T01:52:58.6773797Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtuple_return_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:58.675262] 2022-11-23T01:53:01.8117358Z 2022-11-23T01:53:01.8117933Z Expand the folded group to see the log file of test_namedtuple_return_api 2022-11-23T01:53:01.8119039Z ##[group]PRINTING LOG FILE of test_namedtuple_return_api (/var/lib/jenkins/workspace/test/test-reports/test_namedtuple_return_api_o6yelvrk) 2022-11-23T01:53:01.8119460Z 2022-11-23T01:53:01.8119547Z Running tests... 2022-11-23T01:53:01.8120114Z ---------------------------------------------------------------------- 2022-11-23T01:53:01.8120711Z Test results will be stored in test-reports/python-unittest/test_namedtuple_return_api 2022-11-23T01:53:01.8121199Z test_import_return_types (__main__.TestNamedTupleAPI) ... ok (0.234s) 2022-11-23T01:53:01.8121930Z test_namedtuple_return (__main__.TestNamedTupleAPI) ... /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-11-23T01:53:01.8122948Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-11-23T01:53:01.8123385Z Q, R = torch.qr(A, some) 2022-11-23T01:53:01.8123698Z should be replaced with 2022-11-23T01:53:01.8124501Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.) 2022-11-23T01:53:01.8125248Z ret1 = func(a, *op.input) 2022-11-23T01:53:01.8125839Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:155: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-11-23T01:53:01.8126709Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-11-23T01:53:01.8127184Z Q, R = torch.qr(A, some) 2022-11-23T01:53:01.8127504Z should be replaced with 2022-11-23T01:53:01.8128000Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2470.) 2022-11-23T01:53:01.8128347Z ret2 = func(a, *op.input, out=tuple(ret1)) 2022-11-23T01:53:01.8128754Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T01:53:01.8129239Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T01:53:01.8129559Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T01:53:01.8129748Z should be replaced with 2022-11-23T01:53:01.8130034Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T01:53:01.8130251Z and 2022-11-23T01:53:01.8130425Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T01:53:01.8130633Z should be replaced with 2022-11-23T01:53:01.8131093Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.) 2022-11-23T01:53:01.8131416Z ret1 = func(a, *op.input) 2022-11-23T01:53:01.8131951Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:155: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T01:53:01.8132435Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T01:53:01.8132751Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T01:53:01.8132940Z should be replaced with 2022-11-23T01:53:01.8133225Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T01:53:01.8133434Z and 2022-11-23T01:53:01.8133665Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T01:53:01.8133874Z should be replaced with 2022-11-23T01:53:01.8134336Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2927.) 2022-11-23T01:53:01.8134678Z ret2 = func(a, *op.input, out=tuple(ret1)) 2022-11-23T01:53:01.8135095Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release. 2022-11-23T01:53:01.8135574Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs. 2022-11-23T01:53:01.8135902Z X = torch.triangular_solve(B, A).solution 2022-11-23T01:53:01.8136099Z should be replaced with 2022-11-23T01:53:01.8136434Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.) 2022-11-23T01:53:01.8136755Z ret1 = func(a, *op.input) 2022-11-23T01:53:01.8137159Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release. 2022-11-23T01:53:01.8137538Z LU, pivots = torch.lu(A, compute_pivots) 2022-11-23T01:53:01.8137747Z should be replaced with 2022-11-23T01:53:01.8137978Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots) 2022-11-23T01:53:01.8138169Z and 2022-11-23T01:53:01.8138382Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True) 2022-11-23T01:53:01.8138610Z should be replaced with 2022-11-23T01:53:01.8138954Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.) 2022-11-23T01:53:01.8139292Z ret1 = func(a, *op.input) 2022-11-23T01:53:01.8139471Z ok (0.034s) 2022-11-23T01:53:01.8139707Z test_native_functions_yaml (__main__.TestNamedTupleAPI) ... ok (1.119s) 2022-11-23T01:53:01.8139864Z 2022-11-23T01:53:01.8140069Z ---------------------------------------------------------------------- 2022-11-23T01:53:01.8140310Z Ran 3 tests in 1.386s 2022-11-23T01:53:01.8140422Z 2022-11-23T01:53:01.8140482Z OK 2022-11-23T01:53:01.8140573Z 2022-11-23T01:53:01.8140644Z Generating XML reports... 2022-11-23T01:53:01.8141074Z Generated XML report: test-reports/python-unittest/test_namedtuple_return_api/TEST-TestNamedTupleAPI-20221123015300.xml 2022-11-23T01:53:01.8141327Z 2022-11-23T01:53:01.8141614Z ##[endgroup] 2022-11-23T01:53:01.8142018Z FINISHED PRINTING LOG FILE of test_namedtuple_return_api (/var/lib/jenkins/workspace/test/test-reports/test_namedtuple_return_api_o6yelvrk) 2022-11-23T01:53:01.8142256Z 2022-11-23T01:53:01.8142401Z Running test_nn ... [2022-11-23 01:53:01.811800] 2022-11-23T01:53:01.8142838Z Executing ['/opt/conda/bin/python', '-bb', 'test_nn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:01.812079] 2022-11-23T01:53:41.0727091Z 2022-11-23T01:53:41.0727857Z Expand the folded group to see the log file of test_nn 2022-11-23T01:53:41.0728920Z ##[group]PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_wv_9k8vb) 2022-11-23T01:53:41.0729237Z 2022-11-23T01:53:41.0729364Z Running tests... 2022-11-23T01:53:41.0729970Z ---------------------------------------------------------------------- 2022-11-23T01:53:41.0733961Z Test results will be stored in test-reports/python-unittest/test_nn 2022-11-23T01:53:41.0734751Z test_add_relu (__main__.TestAddRelu) ... ok (0.002s) 2022-11-23T01:53:41.0735178Z test_add_relu_broadcasting (__main__.TestAddRelu) ... ok (0.001s) 2022-11-23T01:53:41.0735645Z test_constant_pad_nd (__main__.TestConstantPadNd) ... ok (0.001s) 2022-11-23T01:53:41.0736119Z test_preserves_memory_format (__main__.TestConstantPadNd) ... ok (0.001s) 2022-11-23T01:53:41.0736595Z test_pickle_softsign (__main__.TestFunctionalPickle) ... ok (0.001s) 2022-11-23T01:53:41.0737176Z test_fuse_module_eval_numerics (__main__.TestFusionEval) ... ok (0.264s) 2022-11-23T01:53:41.0737661Z test_fuse_conv_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s) 2022-11-23T01:53:41.0738151Z test_fuse_linear_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s) 2022-11-23T01:53:41.0739759Z test_global_and_local_hooks_order (__main__.TestModuleGlobalHooks) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T01:53:41.0740890Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-11-23T01:53:41.0741301Z ok (0.002s) 2022-11-23T01:53:41.0741668Z test_module_backward_global_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.001s) 2022-11-23T01:53:41.0742159Z test_module_forward_forward_hook_removable (__main__.TestModuleGlobalHooks) 2022-11-23T01:53:41.0742619Z This test is to test when multiple forward hook functions can be registered ... ok (0.002s) 2022-11-23T01:53:41.0743131Z test_module_forward_preforward_hook_removable (__main__.TestModuleGlobalHooks) 2022-11-23T01:53:41.0743803Z This test is to test when multiple pre-forward hook functions can be ... ok (0.001s) 2022-11-23T01:53:41.0744253Z test_module_global_forward_preforward_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.002s) 2022-11-23T01:53:41.0744803Z test_module_global_hook_invalid_outputs (__main__.TestModuleGlobalHooks) ... ok (0.002s) 2022-11-23T01:53:41.0745292Z test_module_global_hooks (__main__.TestModuleGlobalHooks) ... ok (0.010s) 2022-11-23T01:53:41.0745704Z test_AdaptiveAvgPool1d (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.0746104Z test_AdaptiveAvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0746525Z test_AdaptiveAvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0747041Z test_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0747530Z test_AdaptiveAvgPool1d_one_output (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0748016Z test_AdaptiveAvgPool1d_one_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0748499Z test_AdaptiveAvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0748950Z test_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0749385Z test_AdaptiveAvgPool2d_single (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0749761Z test_AdaptiveAvgPool2d_single_1x1output (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0750190Z test_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0750704Z test_AdaptiveAvgPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0751134Z test_AdaptiveAvgPool2d_tuple (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0751561Z test_AdaptiveAvgPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0751916Z test_AdaptiveAvgPool2d_tuple_none (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0752557Z test_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0753081Z test_AdaptiveAvgPool3d_last_dim (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0753601Z test_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0754125Z test_AdaptiveAvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0754650Z test_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0755249Z test_AdaptiveAvgPool3d_single (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0755789Z test_AdaptiveAvgPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0756297Z test_AdaptiveAvgPool3d_tuple (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0756842Z test_AdaptiveAvgPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0757421Z test_AdaptiveAvgPool3d_tuple_none (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0757960Z test_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0758446Z test_AdaptiveLogSoftmax (__main__.TestNN) ... ok (0.076s) 2022-11-23T01:53:41.0759048Z test_AdaptiveLogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0759602Z test_AdaptiveMaxPool1d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0760137Z test_AdaptiveMaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0760643Z test_AdaptiveMaxPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0761239Z test_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0761663Z test_AdaptiveMaxPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0761980Z test_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0762295Z test_AdaptiveMaxPool2d_single (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0762609Z test_AdaptiveMaxPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0762920Z test_AdaptiveMaxPool2d_tuple (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0763221Z test_AdaptiveMaxPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0763625Z test_AdaptiveMaxPool2d_tuple_none (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0764015Z test_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0764322Z test_AdaptiveMaxPool3d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0764647Z test_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0765161Z test_AdaptiveMaxPool3d_single (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0765479Z test_AdaptiveMaxPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0765791Z test_AdaptiveMaxPool3d_single_nonatomic (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0766130Z test_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0766449Z test_AdaptiveMaxPool3d_tuple (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0766753Z test_AdaptiveMaxPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0767074Z test_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0767411Z test_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0767736Z test_AdaptiveMaxPool3d_tuple_none (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0768163Z test_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0768461Z test_AvgPool1d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0768736Z test_AvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0769013Z test_AvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0769311Z test_AvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0769656Z test_AvgPool1d_stride (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0769944Z test_AvgPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0770223Z test_AvgPool1d_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0770523Z test_AvgPool1d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0770806Z test_AvgPool2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0771072Z test_AvgPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0771350Z test_AvgPool2d_divisor (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0771640Z test_AvgPool2d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0771933Z test_AvgPool2d_divisor_stride (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0772226Z test_AvgPool2d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0772535Z test_AvgPool2d_divisor_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0772850Z test_AvgPool2d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0773167Z test_AvgPool2d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0773516Z test_AvgPool2d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0773858Z test_AvgPool2d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0774198Z test_AvgPool2d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0774507Z test_AvgPool2d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0775853Z test_AvgPool2d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0776164Z test_AvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0776468Z test_AvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0776744Z test_AvgPool2d_stride (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0777031Z test_AvgPool2d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0777324Z test_AvgPool2d_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0777612Z test_AvgPool2d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0777891Z test_AvgPool3d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0778166Z test_AvgPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0778433Z test_AvgPool3d_divisor (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0778720Z test_AvgPool3d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0779021Z test_AvgPool3d_divisor_stride (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0779309Z test_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0779718Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0780134Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0780701Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0781092Z test_AvgPool3d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0781388Z test_AvgPool3d_divisor_stride_pad (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0781708Z test_AvgPool3d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0782078Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0782424Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0782794Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0783182Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0783578Z test_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0783922Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0784287Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0784669Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0785033Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0785416Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0785954Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0786601Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0787131Z test_AvgPool3d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0787500Z test_AvgPool3d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0787928Z test_AvgPool3d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0788487Z test_AvgPool3d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0788997Z test_AvgPool3d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0789377Z test_AvgPool3d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0789687Z test_AvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0789989Z test_AvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0790267Z test_AvgPool3d_stride (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0790536Z test_AvgPool3d_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0790865Z test_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0791209Z test_AvgPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0791487Z test_AvgPool3d_stride_pad (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0791782Z test_AvgPool3d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0792097Z test_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0792422Z test_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0792831Z test_AvgPool3d_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0793178Z test_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0793515Z test_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0793846Z test_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0794182Z test_BCELoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0794458Z test_BCELoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0794764Z test_BCELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0795079Z test_BCELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0795397Z test_BCELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0795684Z test_BCELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0795983Z test_BCELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0796330Z test_BCELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0796673Z test_BCELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0796962Z test_BCELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0797271Z test_BCELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0797617Z test_BCELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0797959Z test_BCELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0798249Z test_BCELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0798649Z test_BCELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0798993Z test_BCELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0799339Z test_BCELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0799625Z test_BCELoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0799912Z test_BCELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0800203Z test_BCELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0800494Z test_BCELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0800793Z test_BCELoss_scalar_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0801106Z test_BCELoss_scalar_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0801458Z test_BCELoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0801790Z test_BCELoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0802136Z test_BCELoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0802429Z test_BCELoss_weights (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0802709Z test_BCELoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0803042Z test_BCELoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0803375Z test_BCELoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0803741Z test_BCELoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0804031Z test_BCELoss_weights_no_reduce (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0804342Z test_BCELoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0804654Z test_BCELoss_weights_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0805187Z test_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0805492Z test_BCEWithLogitsLoss (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0805800Z test_BCEWithLogitsLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0806145Z test_BCEWithLogitsLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0806471Z test_BCEWithLogitsLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0807171Z test_BCEWithLogitsLoss_legacy_enum (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:53:41.0807579Z warnings.warn(warning.format(ret)) 2022-11-23T01:53:41.0808066Z /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:53:41.0808408Z warnings.warn(warning.format(ret)) 2022-11-23T01:53:41.0808602Z ok (0.007s) 2022-11-23T01:53:41.0808872Z test_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0809187Z test_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0809532Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0809912Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0810287Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0810606Z test_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0810957Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0811336Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0811709Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0812027Z test_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0812369Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0812740Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0813113Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0813426Z test_BCEWithLogitsLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0813753Z test_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0814073Z test_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.0814396Z test_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0814727Z test_BCEWithLogitsLoss_scalar_weights (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.0815160Z test_BCEWithLogitsLoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0815536Z test_BCEWithLogitsLoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0815902Z test_BCEWithLogitsLoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0816222Z test_BCEWithLogitsLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0816545Z test_BCEWithLogitsLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0816935Z test_BCEWithLogitsLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0817294Z test_BCEWithLogitsLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0817603Z test_BatchNorm1d_3d_input (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0817903Z test_BatchNorm1d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0818196Z test_BatchNorm1d_3d_input_eval (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.0818505Z test_BatchNorm1d_3d_input_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0818817Z test_BatchNorm1d_3d_input_not_affine (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0819136Z test_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0819443Z test_BatchNorm1d_3d_input_not_affine_eval (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0819772Z test_BatchNorm1d_3d_input_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0820076Z test_BatchNorm1d_affine (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0820360Z test_BatchNorm1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0820657Z test_BatchNorm1d_affine_eval (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0820964Z test_BatchNorm1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0821275Z test_BatchNorm1d_affine_simple_average (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0821592Z test_BatchNorm1d_affine_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0821927Z test_BatchNorm1d_affine_simple_average_eval (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0822270Z test_BatchNorm1d_affine_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0822568Z test_BatchNorm1d_not_affine (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0822869Z test_BatchNorm1d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0823171Z test_BatchNorm1d_not_affine_eval (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0823487Z test_BatchNorm1d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0823786Z test_BatchNorm1d_not_tracking_stats (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.0824113Z test_BatchNorm1d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0824436Z test_BatchNorm1d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.0824818Z test_BatchNorm1d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0825133Z test_BatchNorm1d_zero_batch (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0825433Z test_BatchNorm1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0825732Z test_BatchNorm1d_zero_batch_eval (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0826032Z test_BatchNorm1d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0826364Z test_BatchNorm2d (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0826629Z test_BatchNorm2d_2d_simple_average (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0826940Z test_BatchNorm2d_2d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0827256Z test_BatchNorm2d_2d_simple_average_eval (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0827584Z test_BatchNorm2d_2d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0827952Z test_BatchNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0828223Z test_BatchNorm2d_eval (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0828511Z test_BatchNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0828802Z test_BatchNorm2d_momentum (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0829088Z test_BatchNorm2d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0829387Z test_BatchNorm2d_momentum_eval (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.0829696Z test_BatchNorm2d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0829997Z test_BatchNorm2d_not_affine (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0830288Z test_BatchNorm2d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0830590Z test_BatchNorm2d_not_affine_eval (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0830900Z test_BatchNorm2d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0831197Z test_BatchNorm2d_not_tracking_stats (__main__.TestNN) ... ok (0.019s) 2022-11-23T01:53:41.0831517Z test_BatchNorm2d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0831838Z test_BatchNorm2d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0832168Z test_BatchNorm2d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0832462Z test_BatchNorm2d_zero_batch (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0832763Z test_BatchNorm2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0833064Z test_BatchNorm2d_zero_batch_eval (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0833370Z test_BatchNorm2d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0833654Z test_BatchNorm3d (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0833917Z test_BatchNorm3d_3d_simple_average (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0834236Z test_BatchNorm3d_3d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0834539Z test_BatchNorm3d_3d_simple_average_eval (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.0834874Z test_BatchNorm3d_3d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0835210Z test_BatchNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0835482Z test_BatchNorm3d_eval (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.0835771Z test_BatchNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0836064Z test_BatchNorm3d_momentum (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0836361Z test_BatchNorm3d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0836643Z test_BatchNorm3d_momentum_eval (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.0836951Z test_BatchNorm3d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0837250Z test_BatchNorm3d_not_affine (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0837568Z test_BatchNorm3d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0837874Z test_BatchNorm3d_not_affine_eval (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0838189Z test_BatchNorm3d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0838498Z test_BatchNorm3d_not_tracking_stats (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0838900Z test_BatchNorm3d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0839260Z test_BatchNorm3d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0839591Z test_BatchNorm3d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0839886Z test_BatchNorm3d_zero_batch (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0840184Z test_BatchNorm3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0840489Z test_BatchNorm3d_zero_batch_eval (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0840802Z test_BatchNorm3d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0841066Z test_CELU (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0841325Z test_CELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0841598Z test_CELU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0841875Z test_CELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0842149Z test_CELU_scalar (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0842428Z test_CELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0842731Z test_CTCLoss_2d_int_target_lengths_intlists (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.0843065Z test_CTCLoss_2d_int_target_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0843444Z test_CTCLoss_2d_int_target_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0843792Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0844159Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0844549Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0845028Z test_CTCLoss_2d_int_target_lengths_tensors (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0845367Z test_CTCLoss_2d_int_target_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0845730Z test_CTCLoss_2d_int_target_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0846076Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0846442Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0846844Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0847167Z test_CTCLoss_2d_lengths_tensors (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0847480Z test_CTCLoss_2d_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0847831Z test_CTCLoss_2d_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0848155Z test_CTCLoss_2d_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0848545Z test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0848929Z test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0849274Z test_CTCLoss_critical_target_len (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.0849567Z test_CTCLoss_lengthchecks_cpu (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0849897Z test_CTCLoss_lengthchecks_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.0850187Z test_CTCLoss_lengths_intlists (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0850501Z test_CTCLoss_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0850837Z test_CTCLoss_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0851157Z test_CTCLoss_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0851502Z test_CTCLoss_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0851877Z test_CTCLoss_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0852182Z test_CTCLoss_lengths_tensors (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0852490Z test_CTCLoss_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0852837Z test_CTCLoss_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0853143Z test_CTCLoss_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0853480Z test_CTCLoss_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0853856Z test_CTCLoss_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0854193Z test_CTCLoss_long_targets (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.0854465Z test_CTCLoss_typechecks (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0854748Z test_CTCLoss_zero_infinity (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.0855025Z test_ConstantPad1d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0855282Z test_ConstantPad1d_batch (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0855568Z test_ConstantPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0855865Z test_ConstantPad1d_complex (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.0856167Z test_ConstantPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0856486Z test_ConstantPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0856772Z test_ConstantPad2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0857029Z test_ConstantPad2d_complex (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.0857320Z test_ConstantPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0857647Z test_ConstantPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0857945Z test_ConstantPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0858258Z test_ConstantPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0858537Z test_ConstantPad3d (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0858794Z test_ConstantPad3d_complex (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0859094Z test_ConstantPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0859408Z test_ConstantPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0859741Z test_ConstantPad3d_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0860057Z test_ConstantPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0860344Z test_Conv1d (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0860586Z test_Conv1d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.026s) 2022-11-23T01:53:41.0860902Z test_Conv1d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0861264Z test_Conv1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0861520Z test_Conv1d_dilated (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0861805Z test_Conv1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0862083Z test_Conv1d_groups (__main__.TestNN) ... ok (0.061s) 2022-11-23T01:53:41.0862364Z test_Conv1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0862628Z test_Conv1d_pad1 (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0862910Z test_Conv1d_pad1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0863184Z test_Conv1d_pad1size1 (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.0863458Z test_Conv1d_pad1size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0863735Z test_Conv1d_pad2 (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0864005Z test_Conv1d_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0864281Z test_Conv1d_pad2size1 (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.0864551Z test_Conv1d_pad2size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0864832Z test_Conv1d_pad_same (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0865641Z test_Conv1d_pad_same2 (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T01:53:41.0866198Z return F.conv1d(input, weight, bias, self.stride, 2022-11-23T01:53:41.0866390Z ok (0.023s) 2022-11-23T01:53:41.0866638Z test_Conv1d_pad_same2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0866956Z test_Conv1d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0867230Z test_Conv1d_pad_same_dilated (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0867530Z test_Conv1d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0867822Z test_Conv1d_pad_valid (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0868094Z test_Conv1d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0868385Z test_Conv1d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0868696Z test_Conv1d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0869000Z test_Conv1d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0869302Z test_Conv1d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0869601Z test_Conv1d_stride (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0869877Z test_Conv1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0870144Z test_Conv1d_zero_batch (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.0870429Z test_Conv1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0870721Z test_Conv1d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.019s) 2022-11-23T01:53:41.0871062Z test_Conv1d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0871332Z test_Conv2d (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0871586Z test_Conv2d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.034s) 2022-11-23T01:53:41.0871898Z test_Conv2d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0872206Z test_Conv2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0872516Z test_Conv2d_depthwise (__main__.TestNN) ... ok (0.027s) 2022-11-23T01:53:41.0872804Z test_Conv2d_depthwise_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0873098Z test_Conv2d_depthwise_dilated (__main__.TestNN) ... ok (0.026s) 2022-11-23T01:53:41.0873392Z test_Conv2d_depthwise_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0873697Z test_Conv2d_depthwise_padded (__main__.TestNN) ... ok (0.029s) 2022-11-23T01:53:41.0874000Z test_Conv2d_depthwise_padded_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0874286Z test_Conv2d_depthwise_strided (__main__.TestNN) ... ok (0.025s) 2022-11-23T01:53:41.0874590Z test_Conv2d_depthwise_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0874900Z test_Conv2d_depthwise_with_multiplier (__main__.TestNN) ... ok (0.028s) 2022-11-23T01:53:41.0875233Z test_Conv2d_depthwise_with_multiplier_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0875516Z test_Conv2d_dilated (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0875801Z test_Conv2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0876098Z test_Conv2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0876405Z test_Conv2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0876701Z test_Conv2d_groups (__main__.TestNN) ... ok (0.025s) 2022-11-23T01:53:41.0876981Z test_Conv2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0877262Z test_Conv2d_groups_thnn (__main__.TestNN) ... ok (0.025s) 2022-11-23T01:53:41.0877536Z test_Conv2d_groups_thnn_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0877843Z test_Conv2d_groups_thnn_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0878167Z test_Conv2d_groups_thnn_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0878467Z test_Conv2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0878866Z test_Conv2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0879160Z test_Conv2d_no_bias (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0879441Z test_Conv2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0879722Z test_Conv2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0880031Z test_Conv2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0880323Z test_Conv2d_pad_same (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0880592Z test_Conv2d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0880882Z test_Conv2d_pad_same_dilated (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0881182Z test_Conv2d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0881469Z test_Conv2d_pad_valid (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0881740Z test_Conv2d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0882055Z test_Conv2d_padding (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0882336Z test_Conv2d_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0882619Z test_Conv2d_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0882938Z test_Conv2d_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0883242Z test_Conv2d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0883582Z test_Conv2d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0883876Z test_Conv2d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0884190Z test_Conv2d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0884494Z test_Conv2d_strided (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0884864Z test_Conv2d_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0885169Z test_Conv2d_strided_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0885490Z test_Conv2d_strided_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0885787Z test_Conv2d_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0886070Z test_Conv2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0886358Z test_Conv2d_zero_batch (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.0886641Z test_Conv2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0886927Z test_Conv2d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0887246Z test_Conv2d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0887552Z test_Conv2d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0887861Z test_Conv2d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0888125Z test_Conv3d (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0888364Z test_Conv3d_1x1x1_no_bias (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0888651Z test_Conv3d_1x1x1_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0888940Z test_Conv3d_1x1x1_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0889260Z test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0889566Z test_Conv3d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.044s) 2022-11-23T01:53:41.0889882Z test_Conv3d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0890189Z test_Conv3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0890461Z test_Conv3d_dilated (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0890742Z test_Conv3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0891015Z test_Conv3d_dilated_strided (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0891310Z test_Conv3d_dilated_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0891595Z test_Conv3d_groups (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0891875Z test_Conv3d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0892160Z test_Conv3d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0892473Z test_Conv3d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0892761Z test_Conv3d_no_bias (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0893148Z test_Conv3d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0893442Z test_Conv3d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0893752Z test_Conv3d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0894042Z test_Conv3d_pad_same (__main__.TestNN) ... ok (0.032s) 2022-11-23T01:53:41.0894310Z test_Conv3d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0894641Z test_Conv3d_pad_same_dilated (__main__.TestNN) ... ok (0.029s) 2022-11-23T01:53:41.0894940Z test_Conv3d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0895216Z test_Conv3d_pad_valid (__main__.TestNN) ... ok (0.025s) 2022-11-23T01:53:41.0895502Z test_Conv3d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0895798Z test_Conv3d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.026s) 2022-11-23T01:53:41.0896114Z test_Conv3d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0896395Z test_Conv3d_stride (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0896672Z test_Conv3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0896956Z test_Conv3d_stride_padding (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0897243Z test_Conv3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0897556Z test_Conv3d_stride_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0897884Z test_Conv3d_stride_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0898200Z test_Conv3d_stride_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0898504Z test_Conv3d_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0898808Z test_Conv3d_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0899104Z test_Conv3d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0899375Z test_Conv3d_zero_batch (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0899664Z test_Conv3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0899962Z test_Conv3d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0900286Z test_Conv3d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0900581Z test_Conv3d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0900889Z test_Conv3d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0901188Z test_ConvTranspose1d (__main__.TestNN) ... ok (0.019s) 2022-11-23T01:53:41.0901469Z test_ConvTranspose1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0901769Z test_ConvTranspose1d_dilated (__main__.TestNN) ... ok (0.019s) 2022-11-23T01:53:41.0902079Z test_ConvTranspose1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0902383Z test_ConvTranspose1d_groups (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0902674Z test_ConvTranspose1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0902981Z test_ConvTranspose1d_no_bias (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.0903289Z test_ConvTranspose1d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0903566Z test_ConvTranspose2d (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.0903851Z test_ConvTranspose2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0904146Z test_ConvTranspose2d_dilated (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0904482Z test_ConvTranspose2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0904791Z test_ConvTranspose2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0905135Z test_ConvTranspose2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0905455Z test_ConvTranspose2d_groups (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0905781Z test_ConvTranspose2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0906102Z test_ConvTranspose2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.0906445Z test_ConvTranspose2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0906760Z test_ConvTranspose2d_no_bias (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.0907056Z test_ConvTranspose2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0907377Z test_ConvTranspose2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0907714Z test_ConvTranspose2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0908028Z test_ConvTranspose2d_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.0908351Z test_ConvTranspose2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0908653Z test_ConvTranspose3d (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0908941Z test_ConvTranspose3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0909221Z test_ConvTranspose3d_dilated (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0909526Z test_ConvTranspose3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0909829Z test_CosineEmbeddingLoss (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0910131Z test_CosineEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0910483Z test_CosineEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0910833Z test_CosineEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0911150Z test_CosineEmbeddingLoss_margin (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0911465Z test_CosineEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0911838Z test_CosineEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0912200Z test_CosineEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0912538Z test_CosineEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0912885Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0913288Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0913683Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0914032Z test_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0914367Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0914751Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0915130Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0915496Z test_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0915847Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0916224Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0916602Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0916970Z test_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.0917317Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0917701Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0918080Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0918403Z test_CosineEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.0918842Z test_CosineEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0919219Z test_CosineEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0919595Z test_CosineEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0919890Z test_CrossEntropyLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0920150Z test_CrossEntropyLoss_2d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0920456Z test_CrossEntropyLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0920788Z test_CrossEntropyLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0921132Z test_CrossEntropyLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0921448Z test_CrossEntropyLoss_2d_ignore_index (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0921780Z test_CrossEntropyLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0922136Z test_CrossEntropyLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0922503Z test_CrossEntropyLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0922844Z test_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0923191Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0923588Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0923982Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0924345Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0924720Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0925275Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0925692Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0926073Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0926511Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0926934Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0927350Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0927766Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0928128Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0928533Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0928944Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0929288Z test_CrossEntropyLoss_2d_prob_target (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0929612Z test_CrossEntropyLoss_2d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0929984Z test_CrossEntropyLoss_2d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0930349Z test_CrossEntropyLoss_2d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0930688Z test_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0931030Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0931413Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0931799Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0932157Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0932524Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0932939Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0933354Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0933721Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0934076Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0934482Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0934883Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0935229Z test_CrossEntropyLoss_2d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0935589Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0935979Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0936370Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0936701Z test_CrossEntropyLoss_2d_prob_target_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0937085Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0937476Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0937857Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0938200Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0938611Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0939023Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0939431Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0939765Z test_CrossEntropyLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0940102Z test_CrossEntropyLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0940470Z test_CrossEntropyLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0940839Z test_CrossEntropyLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0941151Z test_CrossEntropyLoss_2d_weights (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0941474Z test_CrossEntropyLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0941831Z test_CrossEntropyLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0942174Z test_CrossEntropyLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0942511Z test_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0942871Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0943265Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0943646Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0944009Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0944392Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0944812Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0945217Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0945594Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0945977Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0946399Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0946804Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0947195Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0947640Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0948086Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0948519Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0949042Z test_CrossEntropyLoss_3d_prob_target (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0949376Z test_CrossEntropyLoss_3d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0949743Z test_CrossEntropyLoss_3d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0950095Z test_CrossEntropyLoss_3d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0950431Z test_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0950785Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0951172Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0951544Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0951908Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0952292Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0952708Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0953108Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0953467Z test_CrossEntropyLoss_3d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0953828Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0954224Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0954607Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0954951Z test_CrossEntropyLoss_3d_prob_target_weights (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0955304Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0955678Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0956059Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0956417Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0956795Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0957191Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0957603Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0957948Z test_CrossEntropyLoss_4d_prob_target (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0958320Z test_CrossEntropyLoss_4d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0958785Z test_CrossEntropyLoss_4d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0959152Z test_CrossEntropyLoss_4d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0959489Z test_CrossEntropyLoss_4d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0959889Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0960266Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0960656Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0961003Z test_CrossEntropyLoss_4d_prob_target_weights (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0961353Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0961724Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0962107Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0962464Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0962828Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0963237Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0963648Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0964017Z test_CrossEntropyLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0964341Z test_CrossEntropyLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0964678Z test_CrossEntropyLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0965096Z test_CrossEntropyLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0965412Z test_CrossEntropyLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0965752Z test_CrossEntropyLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0966101Z test_CrossEntropyLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0966431Z test_CrossEntropyLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0966777Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0967143Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0967521Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0967855Z test_CrossEntropyLoss_higher_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0968170Z test_CrossEntropyLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0968530Z test_CrossEntropyLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0968891Z test_CrossEntropyLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0969300Z test_CrossEntropyLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0969643Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0970029Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0970412Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0970782Z test_CrossEntropyLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0971089Z test_CrossEntropyLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0971449Z test_CrossEntropyLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0971807Z test_CrossEntropyLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0972093Z test_CrossMapLRN2d (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0972381Z test_CrossMapLRN2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0972650Z test_ELU (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0972907Z test_ELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0973164Z test_ELU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0973449Z test_ELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0973721Z test_ELU_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0973981Z test_ELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0974255Z test_Embedding (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0974519Z test_EmbeddingBag_discontiguous (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0974845Z test_EmbeddingBag_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0975133Z test_EmbeddingBag_max (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0975421Z test_EmbeddingBag_max_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0975720Z test_EmbeddingBag_max_padding_idx (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0976024Z test_EmbeddingBag_max_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0976326Z test_EmbeddingBag_mean (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0976621Z test_EmbeddingBag_mean_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0976927Z test_EmbeddingBag_mean_padding_idx (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0977237Z test_EmbeddingBag_mean_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0977545Z test_EmbeddingBag_sparse (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0977843Z test_EmbeddingBag_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0978118Z test_EmbeddingBag_sum (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0978405Z test_EmbeddingBag_sum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0978704Z test_EmbeddingBag_sum_padding_idx (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0979025Z test_EmbeddingBag_sum_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0979339Z test_Embedding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0979627Z test_Embedding_discontiguous (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0979934Z test_Embedding_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0980217Z test_Embedding_sparse (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0980535Z test_Embedding_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0980810Z test_Flatten (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0981065Z test_Flatten_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0981346Z test_Flatten_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0981635Z test_Flatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0981937Z test_Fold (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0982186Z test_Fold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0982458Z test_Fold_int_input (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0982737Z test_Fold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0983009Z test_Fold_no_batch_dim_input (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0983312Z test_Fold_no_batch_dim_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0983611Z test_Fold_no_batch_dim_int_input (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.0983916Z test_Fold_no_batch_dim_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0984211Z test_FractionalMaxPool2d_ratio (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0984532Z test_FractionalMaxPool2d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0984862Z test_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0985193Z test_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0985548Z test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0985927Z test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0986287Z test_FractionalMaxPool2d_ratio_return_indices (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0986624Z test_FractionalMaxPool2d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0986950Z test_FractionalMaxPool2d_size (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0987266Z test_FractionalMaxPool2d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0987621Z test_FractionalMaxPool2d_size_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0987952Z test_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0988313Z test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0988693Z test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0989026Z test_FractionalMaxPool3d_asymsize (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.0989350Z test_FractionalMaxPool3d_asymsize_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0989669Z test_FractionalMaxPool3d_ratio (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0989985Z test_FractionalMaxPool3d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0990305Z test_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0990651Z test_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0991010Z test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0991420Z test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0991770Z test_FractionalMaxPool3d_ratio_return_indices (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0992121Z test_FractionalMaxPool3d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0992445Z test_FractionalMaxPool3d_size (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.0992745Z test_FractionalMaxPool3d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0993107Z test_FractionalMaxPool3d_size_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0993452Z test_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0993807Z test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.0994172Z test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0994482Z test_GELU (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0994742Z test_GELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0995000Z test_GELU_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0995285Z test_GELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0995562Z test_GELU_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.0995838Z test_GELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0996088Z test_GLU (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.0996346Z test_GLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0996602Z test_GLU_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.0996853Z test_GLU_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0997119Z test_GLU_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.0997401Z test_GLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0997687Z test_GroupNorm_1d_affine (__main__.TestNN) ... ok (0.024s) 2022-11-23T01:53:41.0997929Z test_GroupNorm_1d_affine_GN (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0998229Z test_GroupNorm_1d_affine_GN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0998531Z test_GroupNorm_1d_affine_GN_eval (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.0998918Z test_GroupNorm_1d_affine_GN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0999247Z test_GroupNorm_1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.0999539Z test_GroupNorm_1d_affine_eval (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.0999841Z test_GroupNorm_1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1000172Z test_GroupNorm_1d_affine_large_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1000524Z test_GroupNorm_1d_affine_large_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1000834Z test_GroupNorm_1d_no_affine_IN (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1001126Z test_GroupNorm_1d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1001433Z test_GroupNorm_1d_no_affine_IN_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1001745Z test_GroupNorm_1d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1002048Z test_GroupNorm_1d_no_affine_LN (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1002339Z test_GroupNorm_1d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1002679Z test_GroupNorm_1d_no_affine_LN_eval (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1002997Z test_GroupNorm_1d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1003282Z test_GroupNorm_2d_affine (__main__.TestNN) ... ok (0.023s) 2022-11-23T01:53:41.1003577Z test_GroupNorm_2d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1003870Z test_GroupNorm_2d_affine_eval (__main__.TestNN) ... ok (0.024s) 2022-11-23T01:53:41.1004209Z test_GroupNorm_2d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1021270Z test_GroupNorm_2d_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1021784Z test_GroupNorm_2d_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1022102Z test_GroupNorm_2d_no_affine_IN (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1022424Z test_GroupNorm_2d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1022733Z test_GroupNorm_2d_no_affine_IN_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1023051Z test_GroupNorm_2d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1023344Z test_GroupNorm_2d_no_affine_LN (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1023654Z test_GroupNorm_2d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1023963Z test_GroupNorm_2d_no_affine_LN_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1024268Z test_GroupNorm_2d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1024617Z test_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1024984Z test_GroupNorm_2d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1025283Z test_Hardshrink (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1025550Z test_Hardshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1025841Z test_Hardshrink_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1026142Z test_Hardshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1026425Z test_Hardshrink_scalar (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1026715Z test_Hardshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1027007Z test_Hardsigmoid_no_batch_dim (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1027332Z test_Hardsigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1027618Z test_Hardswish_no_batch_dim (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1027918Z test_Hardswish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1028197Z test_Hardtanh (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1028454Z test_Hardtanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1028737Z test_Hardtanh_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1029032Z test_Hardtanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1029324Z test_Hardtanh_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1029594Z test_Hardtanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1029887Z test_HingeEmbeddingLoss (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1030200Z test_HingeEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1030676Z test_HingeEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1031030Z test_HingeEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1031343Z test_HingeEmbeddingLoss_margin (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1031672Z test_HingeEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1032029Z test_HingeEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1032438Z test_HingeEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1032769Z test_HingeEmbeddingLoss_margin_no_reduce (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1033096Z test_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1033435Z test_HingeEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1033792Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1034183Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1034556Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1034905Z test_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1035254Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1035637Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1035998Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1036340Z test_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1036685Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1037064Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1037428Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1037768Z test_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1038110Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1038470Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1038951Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1039282Z test_HingeEmbeddingLoss_no_reduce (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1039608Z test_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1039918Z test_HingeEmbeddingLoss_scalar_margin (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1040260Z test_HingeEmbeddingLoss_scalar_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1040641Z test_HingeEmbeddingLoss_scalar_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1041023Z test_HingeEmbeddingLoss_scalar_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1041361Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1041771Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1042182Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1042566Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1042916Z test_HingeEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1043288Z test_HingeEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1043663Z test_HingeEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1044027Z test_HingeEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1044331Z test_HuberLoss (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1044620Z test_HuberLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1045064Z test_HuberLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1045372Z test_HuberLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1045686Z test_HuberLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1045972Z test_HuberLoss_delta (__main__.TestNN) ... ok (0.074s) 2022-11-23T01:53:41.1046247Z test_HuberLoss_delta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1046540Z test_HuberLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1046860Z test_HuberLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1047216Z test_HuberLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1047555Z test_HuberLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1047866Z test_HuberLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1048186Z test_HuberLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1048525Z test_HuberLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1048875Z test_HuberLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1049178Z test_HuberLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1049488Z test_HuberLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1049823Z test_HuberLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1050171Z test_HuberLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1050474Z test_HuberLoss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1050787Z test_HuberLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1051127Z test_HuberLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1051476Z test_HuberLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1051822Z test_HuberLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1052103Z test_InstanceNorm1d (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1052391Z test_InstanceNorm1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1052680Z test_InstanceNorm1d_eval (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1053031Z test_InstanceNorm1d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1053322Z test_InstanceNorm1d_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1053640Z test_InstanceNorm1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1053955Z test_InstanceNorm1d_no_batch_dim_eval (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1054306Z test_InstanceNorm1d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1054626Z test_InstanceNorm1d_tracking_stats (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1054949Z test_InstanceNorm1d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1055269Z test_InstanceNorm1d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1055590Z test_InstanceNorm1d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1055921Z test_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1056269Z test_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1056613Z test_InstanceNorm1d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1056952Z test_InstanceNorm1d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1057264Z test_InstanceNorm2d (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1057547Z test_InstanceNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1057823Z test_InstanceNorm2d_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1058114Z test_InstanceNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1058420Z test_InstanceNorm2d_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1058735Z test_InstanceNorm2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1059033Z test_InstanceNorm2d_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1059357Z test_InstanceNorm2d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1059673Z test_InstanceNorm2d_tracking_stats (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1059984Z test_InstanceNorm2d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1060303Z test_InstanceNorm2d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1060628Z test_InstanceNorm2d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1060960Z test_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1061294Z test_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1061634Z test_InstanceNorm2d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1061980Z test_InstanceNorm2d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1062279Z test_InstanceNorm3d (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1062569Z test_InstanceNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1062856Z test_InstanceNorm3d_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1063150Z test_InstanceNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1063437Z test_InstanceNorm3d_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1063790Z test_InstanceNorm3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1064105Z test_InstanceNorm3d_no_batch_dim_eval (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1064419Z test_InstanceNorm3d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1064733Z test_InstanceNorm3d_tracking_stats (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1065053Z test_InstanceNorm3d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1065407Z test_InstanceNorm3d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1065724Z test_InstanceNorm3d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1066056Z test_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1066402Z test_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1066747Z test_InstanceNorm3d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1067088Z test_InstanceNorm3d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1068043Z test_KLDivLoss (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1068557Z warnings.warn( 2022-11-23T01:53:41.1069272Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1069736Z warnings.warn( 2022-11-23T01:53:41.1070447Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1070918Z warnings.warn( 2022-11-23T01:53:41.1071091Z ok (0.005s) 2022-11-23T01:53:41.1071296Z test_KLDivLoss_batch_mean (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1071571Z test_KLDivLoss_batch_mean_log_target (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1071875Z test_KLDivLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1072197Z test_KLDivLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1072508Z test_KLDivLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1073356Z test_KLDivLoss_log_target (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1073870Z warnings.warn( 2022-11-23T01:53:41.1074571Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1075020Z warnings.warn( 2022-11-23T01:53:41.1075191Z ok (0.005s) 2022-11-23T01:53:41.1075490Z test_KLDivLoss_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1075837Z test_KLDivLoss_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1076170Z test_KLDivLoss_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1076484Z test_KLDivLoss_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1076859Z test_KLDivLoss_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1077218Z test_KLDivLoss_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1077580Z test_KLDivLoss_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1077897Z test_KLDivLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1078219Z test_KLDivLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1078660Z test_KLDivLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1079021Z test_KLDivLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1079329Z test_KLDivLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1079654Z test_KLDivLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1079998Z test_KLDivLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1080344Z test_KLDivLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1080650Z test_KLDivLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1080964Z test_KLDivLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1081318Z test_KLDivLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1081667Z test_KLDivLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1081971Z test_KLDivLoss_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1082253Z test_KLDivLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1082562Z test_KLDivLoss_no_reduce_log_target (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1082880Z test_KLDivLoss_no_reduce_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1083187Z test_KLDivLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1083486Z test_KLDivLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1083808Z test_KLDivLoss_no_reduce_scalar_log_target (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1084143Z test_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1085185Z test_KLDivLoss_scalar (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1085707Z warnings.warn( 2022-11-23T01:53:41.1086499Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1086975Z warnings.warn( 2022-11-23T01:53:41.1087686Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1088172Z warnings.warn( 2022-11-23T01:53:41.1088343Z ok (0.005s) 2022-11-23T01:53:41.1088606Z test_KLDivLoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1088949Z test_KLDivLoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1089272Z test_KLDivLoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1090142Z test_KLDivLoss_scalar_log_target (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1090659Z warnings.warn( 2022-11-23T01:53:41.1091357Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1091812Z warnings.warn( 2022-11-23T01:53:41.1091982Z ok (0.005s) 2022-11-23T01:53:41.1092250Z test_KLDivLoss_scalar_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1092611Z test_KLDivLoss_scalar_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1092953Z test_KLDivLoss_scalar_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1093290Z test_KLDivLoss_scalar_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1093645Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1094023Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1094405Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1094741Z test_KLDivLoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1095070Z test_KLDivLoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1095425Z test_KLDivLoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1095789Z test_KLDivLoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1096098Z test_KLDivLoss_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1096414Z test_KLDivLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1096753Z test_KLDivLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1097109Z test_KLDivLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1097426Z test_KLDivLoss_with_log_target_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1097741Z test_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1098099Z test_KLDivLoss_with_target_no_reduce (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1098420Z test_KLDivLoss_with_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1098701Z test_L1Loss (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1098962Z test_L1Loss_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1099336Z test_L1Loss_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1099644Z test_L1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1099940Z test_L1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1100245Z test_L1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1100526Z test_L1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1100834Z test_L1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1101166Z test_L1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1101507Z test_L1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1101804Z test_L1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1102116Z test_L1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1102442Z test_L1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1102780Z test_L1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1103078Z test_L1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1103372Z test_L1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1103534Z test_L1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1103693Z test_L1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1103804Z test_L1Loss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1103925Z test_L1Loss_no_reduce_complex (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.1104087Z test_L1Loss_no_reduce_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1104234Z test_L1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1104353Z test_L1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1104497Z test_L1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1104608Z test_L1Loss_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1104762Z test_L1Loss_scalar_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1104915Z test_L1Loss_scalar_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1105065Z test_L1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1105216Z test_L1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1105365Z test_L1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1105471Z test_LPPool1d (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1105614Z test_LPPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1105721Z test_LPPool1d_no_batch_dim (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1105910Z test_LPPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1106023Z test_LPPool1d_norm (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1106169Z test_LPPool1d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1106272Z test_LPPool2d (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1106413Z test_LPPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1106559Z test_LPPool2d_norm (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1106693Z test_LPPool2d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1106794Z test_LSTM_cell (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1106920Z test_LSTM_cell_forward_hidden_size (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1107046Z test_LSTM_cell_forward_input_size (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1107180Z test_LayerNorm_1d_elementwise_affine (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1107354Z test_LayerNorm_1d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1107490Z test_LayerNorm_1d_elementwise_affine_eval (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1107665Z test_LayerNorm_1d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1107801Z test_LayerNorm_1d_empty_elementwise_affine (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1107966Z test_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1108110Z test_LayerNorm_1d_empty_elementwise_affine_eval (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1108291Z test_LayerNorm_1d_empty_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1108423Z test_LayerNorm_1d_no_elementwise_affine (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1108597Z test_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1108735Z test_LayerNorm_1d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1108912Z test_LayerNorm_1d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1109041Z test_LayerNorm_3d_elementwise_affine (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1109198Z test_LayerNorm_3d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1109332Z test_LayerNorm_3d_elementwise_affine_eval (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1109505Z test_LayerNorm_3d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1109640Z test_LayerNorm_3d_no_affine_large_feature (__main__.TestNN) ... ok (0.805s) 2022-11-23T01:53:41.1109813Z test_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1109952Z test_LayerNorm_3d_no_affine_large_feature_eval (__main__.TestNN) ... ok (0.714s) 2022-11-23T01:53:41.1110128Z test_LayerNorm_3d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1110260Z test_LayerNorm_3d_no_elementwise_affine (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1110433Z test_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1110559Z test_LayerNorm_3d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1110734Z test_LayerNorm_3d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1110840Z test_LeakyReLU (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1110984Z test_LeakyReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1111144Z test_LeakyReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1111305Z test_LeakyReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1111424Z test_LeakyReLU_with_negval (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1111581Z test_LeakyReLU_with_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1111695Z test_LeakyReLU_with_negval_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1111897Z test_LeakyReLU_with_negval_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1112023Z test_LeakyReLU_with_zero_negval (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1112186Z test_LeakyReLU_with_zero_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1112286Z test_Linear (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1112428Z test_Linear_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1112543Z test_Linear_no_batch_dim (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1112696Z test_Linear_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1112792Z test_Linear_no_bias (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1112939Z test_Linear_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1113065Z test_LocalResponseNorm_1d (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.1113224Z test_LocalResponseNorm_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1113358Z test_LocalResponseNorm_2d_uneven_pad (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1113529Z test_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1113666Z test_LocalResponseNorm_3d_custom_params (__main__.TestNN) ... ok (0.019s) 2022-11-23T01:53:41.1113846Z test_LocalResponseNorm_3d_custom_params_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1113939Z test_LogSigmoid (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1114085Z test_LogSigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1114204Z test_LogSigmoid_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1114362Z test_LogSigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1114480Z test_LogSigmoid_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1114630Z test_LogSigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1114735Z test_LogSoftmax (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1114880Z test_LogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1114990Z test_LogSoftmax_multiparam (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1115149Z test_LogSoftmax_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1115281Z test_LogSoftmax_multiparam_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1115447Z test_LogSoftmax_multiparam_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1115566Z test_LogSoftmax_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1115727Z test_LogSoftmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1115830Z test_MSELoss (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1115976Z test_MSELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1116110Z test_MSELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1116254Z test_MSELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1116416Z test_MSELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1116585Z test_MSELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1116753Z test_MSELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1116918Z test_MSELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1117076Z test_MSELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1117239Z test_MSELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1117405Z test_MSELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1117555Z test_MSELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1117680Z test_MSELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1117841Z test_MSELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1118005Z test_MSELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1118165Z test_MSELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1118284Z test_MSELoss_no_reduce (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1118432Z test_MSELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1118631Z test_MSELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1118784Z test_MSELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1118895Z test_MSELoss_prec (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1119053Z test_MSELoss_prec_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1119205Z test_MSELoss_prec_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1119355Z test_MSELoss_prec_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1119505Z test_MSELoss_prec_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1119618Z test_MSELoss_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1119782Z test_MSELoss_scalar_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1119938Z test_MSELoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1120080Z test_MSELoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1120235Z test_MSELoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1120360Z test_MSELoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1120534Z test_MSELoss_scalar_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1120707Z test_MSELoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1120878Z test_MSELoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1121049Z test_MSELoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1121167Z test_MSELoss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1121340Z test_MSELoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1121502Z test_MSELoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1121705Z test_MSELoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1121831Z test_MarginRankingLoss (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1121996Z test_MarginRankingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1122156Z test_MarginRankingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1122352Z test_MarginRankingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1122479Z test_MarginRankingLoss_margin (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1122650Z test_MarginRankingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1122807Z test_MarginRankingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1122978Z test_MarginRankingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1123121Z test_MarginRankingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1123308Z test_MarginRankingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1123493Z test_MarginRankingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1123681Z test_MarginRankingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1123819Z test_MarginRankingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1124002Z test_MarginRankingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1124181Z test_MarginRankingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1124349Z test_MarginRankingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1124488Z test_MarginRankingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1124669Z test_MarginRankingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1125036Z test_MarginRankingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1125257Z test_MarginRankingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1125395Z test_MarginRankingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1125574Z test_MarginRankingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1125782Z test_MarginRankingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1125956Z test_MarginRankingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1126080Z test_MarginRankingLoss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1126258Z test_MarginRankingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1126442Z test_MarginRankingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1126620Z test_MarginRankingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1126726Z test_MaxPool1d (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1126869Z test_MaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1126993Z test_MaxPool1d_return_indices (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1127225Z test_MaxPool1d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1127328Z test_MaxPool1d_stride (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1127478Z test_MaxPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1127594Z test_MaxPool2d_3d_input (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1127746Z test_MaxPool2d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1127897Z test_MaxPool2d_4d_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1128045Z test_MaxPool2d_4d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1128170Z test_MaxPool2d_return_indices (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1128328Z test_MaxPool2d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1128422Z test_MaxPool3d (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1128566Z test_MaxPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1128687Z test_MaxPool3d_return_indices (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1128844Z test_MaxPool3d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1128957Z test_MaxPool3d_stride (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1129108Z test_MaxPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1129229Z test_MaxPool3d_stride_padding (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1129394Z test_MaxPool3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1129496Z test_MaxUnpool1d_net (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1129645Z test_MaxUnpool1d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1129775Z test_MaxUnpool1d_net_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1129941Z test_MaxUnpool1d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1130054Z test_MaxUnpool2d_net (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1130200Z test_MaxUnpool2d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1130326Z test_MaxUnpool2d_net_no_batch_dim (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1130492Z test_MaxUnpool2d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1130591Z test_MaxUnpool3d_net (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1130736Z test_MaxUnpool3d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1130860Z test_MaxUnpool3d_net_no_batch_dim (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1131026Z test_MaxUnpool3d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1131124Z test_Mish (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1131257Z test_Mish_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1131369Z test_Mish_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1131515Z test_Mish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1131609Z test_Mish_scalar (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1131776Z test_Mish_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1131880Z test_ModuleDict (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1131983Z test_ModuleList (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1132109Z test_MultiLabelMarginLoss (__main__.TestNN) ... ok (0.021s) 2022-11-23T01:53:41.1132246Z test_MultiLabelMarginLoss_0d_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1132458Z test_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1132585Z test_MultiLabelMarginLoss_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1132747Z test_MultiLabelMarginLoss_1d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1132920Z test_MultiLabelMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1133122Z test_MultiLabelMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1133289Z test_MultiLabelMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1133425Z test_MultiLabelMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1133600Z test_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1133743Z test_MultiLabelMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1133932Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1134117Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1134289Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1134474Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1134646Z test_MultiLabelMarginLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1134818Z test_MultiLabelMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1134987Z test_MultiLabelMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1135152Z test_MultiLabelMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1135288Z test_MultiLabelMarginLoss_index_neg (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1135462Z test_MultiLabelMarginLoss_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1135606Z test_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1135781Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1135968Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1136152Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1136298Z test_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1136480Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1136661Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1136839Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1136984Z test_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1137165Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1137335Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1137518Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1137685Z test_MultiLabelMarginLoss_no_reduce (__main__.TestNN) ... ok (0.024s) 2022-11-23T01:53:41.1137859Z test_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1137998Z test_MultiLabelMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.022s) 2022-11-23T01:53:41.1138181Z test_MultiLabelMarginLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1138423Z test_MultiLabelMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1138603Z test_MultiLabelMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1138783Z test_MultiLabelMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1138902Z test_MultiLabelSoftMarginLoss (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1139083Z test_MultiLabelSoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1139259Z test_MultiLabelSoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1139434Z test_MultiLabelSoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1139586Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1139787Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1139980Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1140172Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1140327Z test_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1140507Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1140699Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1140885Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1141038Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1141229Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1141417Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1141611Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1141754Z test_MultiLabelSoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1141935Z test_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1142067Z test_MultiLabelSoftMarginLoss_weights (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1142253Z test_MultiLabelSoftMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1142441Z test_MultiLabelSoftMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1142624Z test_MultiLabelSoftMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1142777Z test_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1142997Z test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1143157Z test_MultiLabelSoftMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1143358Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1143558Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1143788Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1143890Z test_MultiMarginLoss (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1144006Z test_MultiMarginLoss_1d (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1144168Z test_MultiMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1144331Z test_MultiMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1144492Z test_MultiMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1144621Z test_MultiMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1144786Z test_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1144916Z test_MultiMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1145085Z test_MultiMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1145262Z test_MultiMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1145436Z test_MultiMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1145599Z test_MultiMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1145756Z test_MultiMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1145913Z test_MultiMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1146036Z test_MultiMarginLoss_margin (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1146233Z test_MultiMarginLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1146400Z test_MultiMarginLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1146553Z test_MultiMarginLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1146685Z test_MultiMarginLoss_margin_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1146854Z test_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1146995Z test_MultiMarginLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1147210Z test_MultiMarginLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1147390Z test_MultiMarginLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1147567Z test_MultiMarginLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1147696Z test_MultiMarginLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1147845Z test_MultiMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1147962Z test_MultiMarginLoss_p (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1148124Z test_MultiMarginLoss_p_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1148315Z test_MultiMarginLoss_p_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1148475Z test_MultiMarginLoss_p_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1148605Z test_MultiMarginLoss_p_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1148768Z test_MultiMarginLoss_p_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1148934Z test_MultiMarginLoss_p_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1149110Z test_MultiMarginLoss_p_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1149274Z test_MultiMarginLoss_p_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1149449Z test_MultiMarginLoss_p_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1149583Z test_MultiMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1149754Z test_MultiMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1149927Z test_MultiMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1150102Z test_MultiMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1150230Z test_MultiMarginLoss_weights (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1150400Z test_MultiMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1150567Z test_MultiMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1150721Z test_MultiMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1150860Z test_MultiMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1151034Z test_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1151174Z test_MultiMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1151358Z test_MultiMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1151540Z test_MultiMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1151726Z test_MultiMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1151829Z test_NLLLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1151933Z test_NLLLoss2d_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1152086Z test_NLLLoss2d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1152220Z test_NLLLoss2d_no_reduce_ignore_index (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1152388Z test_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1152517Z test_NLLLoss2d_no_reduce_weights (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1152680Z test_NLLLoss2d_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1152798Z test_NLLLossNd_no_reduce (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.1152949Z test_NLLLossNd_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1153068Z test_NLLLossNd_no_reduce_ignore_index (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.1153236Z test_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1153360Z test_NLLLossNd_no_reduce_weights (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.1153549Z test_NLLLossNd_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1153655Z test_NLLLoss_2d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1153805Z test_NLLLoss_2d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1153954Z test_NLLLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1154102Z test_NLLLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1154282Z test_NLLLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1154391Z test_NLLLoss_2d_ignore_index (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1154558Z test_NLLLoss_2d_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1154722Z test_NLLLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1154888Z test_NLLLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1155048Z test_NLLLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1155169Z test_NLLLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1155335Z test_NLLLoss_2d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1155504Z test_NLLLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1155655Z test_NLLLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1155819Z test_NLLLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1155933Z test_NLLLoss_2d_weights (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1156098Z test_NLLLoss_2d_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1156261Z test_NLLLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1156421Z test_NLLLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1156580Z test_NLLLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1156732Z test_NLLLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1156881Z test_NLLLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1157014Z test_NLLLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1157158Z test_NLLLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1157267Z test_NLLLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1157426Z test_NLLLoss_dim_is_3_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1157581Z test_NLLLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1157737Z test_NLLLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1157889Z test_NLLLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1158023Z test_NLLLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1158182Z test_NLLLoss_dim_is_3_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1158355Z test_NLLLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1158640Z test_NLLLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1158822Z test_NLLLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1158940Z test_NLLLoss_higher_dim (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1159101Z test_NLLLoss_higher_dim_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1159260Z test_NLLLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1159458Z test_NLLLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1159613Z test_NLLLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1159732Z test_NLLLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1159909Z test_NLLLoss_higher_dim_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1160085Z test_NLLLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1160258Z test_NLLLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1160432Z test_NLLLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1160550Z test_NLLLoss_ignore_index (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1160716Z test_NLLLoss_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1160876Z test_NLLLoss_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1161035Z test_NLLLoss_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1161179Z test_NLLLoss_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1161305Z test_NLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1161472Z test_NLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1161635Z test_NLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1161798Z test_NLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1161923Z test_NLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1162089Z test_NLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1162251Z test_NLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1162414Z test_NLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1162524Z test_NLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1162685Z test_NLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1162844Z test_NLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1163007Z test_NLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1163123Z test_NLLLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1163272Z test_NLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1163401Z test_NLLLoss_no_reduce_ignore_index (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1163564Z test_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1163674Z test_NLLLoss_no_reduce_weights (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1163864Z test_NLLLoss_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1164005Z test_NLLLoss_no_reduce_weights_ignore_index (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1164181Z test_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1164328Z test_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1164539Z test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1164658Z test_NLLLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1164982Z test_NLLLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1165199Z test_NLLLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1165352Z test_NLLLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1165512Z test_NLLLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1165623Z test_NLLLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1165785Z test_NLLLoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1165944Z test_NLLLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1166100Z test_NLLLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1166254Z test_NLLLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1166382Z test_NLLLoss_weights_ignore_index (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1166545Z test_NLLLoss_weights_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1166716Z test_NLLLoss_weights_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1166890Z test_NLLLoss_weights_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1167058Z test_NLLLoss_weights_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1167191Z test_NLLLoss_weights_ignore_index_neg (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1167367Z test_NLLLoss_weights_ignore_index_neg_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1167539Z test_NLLLoss_weights_ignore_index_neg_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1167712Z test_NLLLoss_weights_ignore_index_neg_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1167887Z test_NLLLoss_weights_ignore_index_neg_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1167978Z test_PReLU_1d (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1168122Z test_PReLU_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1168241Z test_PReLU_1d_multiparam (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1168398Z test_PReLU_1d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1168503Z test_PReLU_2d (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.1168644Z test_PReLU_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1168759Z test_PReLU_2d_multiparam (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1168914Z test_PReLU_2d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1169003Z test_PReLU_3d (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1169206Z test_PReLU_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1169326Z test_PReLU_3d_multiparam (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1169477Z test_PReLU_3d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1169613Z test_PReLU_backward_requires_grad_false (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1169728Z test_PReLU_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1169915Z test_PReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1170021Z test_PReLU_scalar (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1170153Z test_PReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1170275Z test_Padding122112_3dcircular (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1170435Z test_Padding122112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1170556Z test_Padding1221_2dcircular (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1170714Z test_Padding1221_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1170831Z test_Padding12_1dcircular (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1170988Z test_Padding12_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1171109Z test_Padding2322_2dcircular (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1171253Z test_Padding2322_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1171371Z test_Padding31_1dcircular (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1171523Z test_Padding31_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1171642Z test_Padding322112_3dcircular (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1171801Z test_Padding322112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1171920Z test_Padding332122_3dcircular (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1172076Z test_Padding332122_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1172192Z test_Padding3331_2dcircular (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1172333Z test_Padding3331_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1172454Z test_Padding33_1dcircular (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1172606Z test_Padding33_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1172721Z test_PairwiseDistance (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1172855Z test_PairwiseDistance_broadcast_lhs (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1173029Z test_PairwiseDistance_broadcast_lhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1173169Z test_PairwiseDistance_broadcast_rhs (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1173341Z test_PairwiseDistance_broadcast_rhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1173492Z test_PairwiseDistance_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1173612Z test_PairwiseDistance_no_batch_dim (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1173781Z test_PairwiseDistance_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1173922Z test_PairwiseDistance_with_non_default_args (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1174098Z test_PairwiseDistance_with_non_default_args_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1174209Z test_ParameterDict (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.1174369Z test_ParameterDict_replication (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1174480Z test_ParameterList (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1174597Z test_ParameterList_meta (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1174710Z test_ParameterList_replication (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1174819Z test_PixelShuffle (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1174965Z test_PixelShuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1175118Z test_PixelUnshuffle (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1175266Z test_PixelUnshuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1175390Z test_PoissonNLLLoss_full_loss (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1175558Z test_PoissonNLLLoss_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1175725Z test_PoissonNLLLoss_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1175878Z test_PoissonNLLLoss_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1176016Z test_PoissonNLLLoss_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1176196Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1176374Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1176554Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1176687Z test_PoissonNLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1176862Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1177039Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1177212Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1177332Z test_PoissonNLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1177507Z test_PoissonNLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1177681Z test_PoissonNLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1177854Z test_PoissonNLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1177985Z test_PoissonNLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1178161Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1178337Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1178508Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1178624Z test_PoissonNLLLoss_no_full_loss (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1178795Z test_PoissonNLLLoss_no_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1178964Z test_PoissonNLLLoss_no_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1179130Z test_PoissonNLLLoss_no_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1179272Z test_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1179453Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1179662Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1179843Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1179966Z test_PoissonNLLLoss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1180116Z test_PoissonNLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1180248Z test_RNN_cell (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1180373Z test_RNN_cell_forward_hidden_size (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1180497Z test_RNN_cell_forward_input_size (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1180627Z test_RNN_cell_forward_zero_hidden_size (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1180746Z test_RNN_cell_no_broadcasting (__main__.TestNN) ... ok (0.035s) 2022-11-23T01:53:41.1180885Z test_RNN_change_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s) 2022-11-23T01:53:41.1181027Z test_RNN_cpu_vs_cudnn_no_dropout (__main__.TestNN) ... skip: needs cudnn (0.000s) 2022-11-23T01:53:41.1181161Z test_RNN_cpu_vs_cudnn_with_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.000s) 2022-11-23T01:53:41.1181295Z test_RNN_cudnn_weight_norm (__main__.TestNN) ... skip: needs cudnn (0.001s) 2022-11-23T01:53:41.1181423Z test_RNN_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s) 2022-11-23T01:53:41.1181558Z test_RNN_dropout_state (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s) 2022-11-23T01:53:41.1181672Z test_RNN_input_size_zero (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1181786Z test_RNN_nonlinearity (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1181883Z test_RReLU (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1182018Z test_RReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1182121Z test_RReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1182272Z test_RReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1182384Z test_RReLU_with_up_down (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1182532Z test_RReLU_with_up_down_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1182653Z test_RReLU_with_up_down_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1182813Z test_RReLU_with_up_down_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1182911Z test_ReLU (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1183007Z test_ReLU6 (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1183132Z test_ReLU6_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1183243Z test_ReLU6_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1183393Z test_ReLU6_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1183499Z test_ReLU6_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1183644Z test_ReLU6_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1183778Z test_ReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1183891Z test_ReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1184039Z test_ReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1184134Z test_ReLU_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1184343Z test_ReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1184461Z test_ReflectionPad1d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1184586Z test_ReflectionPad1d_batch (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1184784Z test_ReflectionPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1184913Z test_ReflectionPad1d_complex (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1185074Z test_ReflectionPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1185226Z test_ReflectionPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1185329Z test_ReflectionPad2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1185492Z test_ReflectionPad2d_complex (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1185654Z test_ReflectionPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1185803Z test_ReflectionPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1185934Z test_ReflectionPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1186103Z test_ReflectionPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1186217Z test_ReflectionPad3d (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1186340Z test_ReflectionPad3d_complex (__main__.TestNN) ... ok (0.024s) 2022-11-23T01:53:41.1186488Z test_ReflectionPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1186636Z test_ReflectionPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1186768Z test_ReflectionPad3d_no_batch_dim (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1186932Z test_ReflectionPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1187047Z test_ReplicationPad1d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1187168Z test_ReplicationPad1d_batch (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1187331Z test_ReplicationPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1187457Z test_ReplicationPad1d_complex (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1187609Z test_ReplicationPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1187763Z test_ReplicationPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1187877Z test_ReplicationPad2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1188000Z test_ReplicationPad2d_complex (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1188167Z test_ReplicationPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1188319Z test_ReplicationPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1188449Z test_ReplicationPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1188617Z test_ReplicationPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1188722Z test_ReplicationPad3d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1188848Z test_ReplicationPad3d_complex (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1189009Z test_ReplicationPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1189163Z test_ReplicationPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1189294Z test_ReplicationPad3d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1189462Z test_ReplicationPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1189560Z test_SELU (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1189696Z test_SELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1189795Z test_SELU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1189939Z test_SELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1190073Z test_SELU_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1190218Z test_SELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1190330Z test_Sequential_add (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1190444Z test_Sequential_append (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1190559Z test_Sequential_delitem (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1190702Z test_Sequential_extend (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1190801Z test_Sequential_getitem (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1190912Z test_Sequential_iadd (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1191019Z test_Sequential_imul (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1191131Z test_Sequential_insert (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1191256Z test_Sequential_insert_fail_case (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1191367Z test_Sequential_mul (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1191475Z test_Sequential_pop (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1191584Z test_Sequential_rmul (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1191685Z test_Sequential_setitem (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1191806Z test_Sequential_setitem_named (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1191900Z test_SiLU (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1192040Z test_SiLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1192150Z test_SiLU_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1192298Z test_SiLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1192401Z test_SiLU_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1192532Z test_SiLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1192637Z test_Sigmoid (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1192778Z test_Sigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1192896Z test_Sigmoid_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1193051Z test_Sigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1193160Z test_Sigmoid_scalar (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1193307Z test_Sigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1193439Z test_SmoothL1Loss (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1193540Z test_SmoothL1Loss_beta (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1193690Z test_SmoothL1Loss_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1193843Z test_SmoothL1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1193996Z test_SmoothL1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1194146Z test_SmoothL1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1194275Z test_SmoothL1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1194448Z test_SmoothL1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1194622Z test_SmoothL1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1194790Z test_SmoothL1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1194904Z test_SmoothL1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1195073Z test_SmoothL1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1195271Z test_SmoothL1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1195440Z test_SmoothL1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1195568Z test_SmoothL1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1195737Z test_SmoothL1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1195934Z test_SmoothL1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1196105Z test_SmoothL1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1196213Z test_SmoothL1Loss_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1196368Z test_SmoothL1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1196498Z test_SmoothL1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1196662Z test_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1196779Z test_SmoothL1Loss_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1196941Z test_SmoothL1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1197099Z test_SmoothL1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1197258Z test_SmoothL1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1197391Z test_SmoothL1Loss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1197554Z test_SmoothL1Loss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1197733Z test_SmoothL1Loss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1197910Z test_SmoothL1Loss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1198040Z test_SmoothL1Loss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1198209Z test_SmoothL1Loss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1198380Z test_SmoothL1Loss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1198659Z test_SmoothL1Loss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1198783Z test_SmoothL1Loss_zero_beta (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1198939Z test_SmoothL1Loss_zero_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1199041Z test_SoftMarginLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1199201Z test_SoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1199359Z test_SoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1199515Z test_SoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1199647Z test_SoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1199824Z test_SoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1200004Z test_SoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1200180Z test_SoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1200299Z test_SoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1200509Z test_SoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1200685Z test_SoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1200854Z test_SoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1200987Z test_SoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1201193Z test_SoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1201364Z test_SoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1201533Z test_SoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1201656Z test_SoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1201806Z test_SoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1201936Z test_SoftMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1202108Z test_SoftMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1202282Z test_SoftMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1202456Z test_SoftMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1202558Z test_Softmax (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1202664Z test_Softmax2d (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1202807Z test_Softmax2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1202913Z test_Softmax2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1203071Z test_Softmax2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1203212Z test_Softmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1203329Z test_Softmax_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1203485Z test_Softmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1203596Z test_Softmax_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1203745Z test_Softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1203848Z test_Softmin (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1203971Z test_Softmin_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1204085Z test_Softmin_multidim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1204234Z test_Softmin_multidim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1204351Z test_Softmin_no_batch_dim (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1204504Z test_Softmin_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1204613Z test_Softmin_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1204885Z test_Softmin_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1205032Z test_Softplus (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1205161Z test_Softplus_beta (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1205310Z test_Softplus_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1205431Z test_Softplus_beta_threshold (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1205590Z test_Softplus_beta_threshold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1205720Z test_Softplus_beta_threshold_scalar (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1205949Z test_Softplus_beta_threshold_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1206094Z test_Softplus_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1206211Z test_Softplus_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1206352Z test_Softplus_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1206458Z test_Softshrink (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1206639Z test_Softshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1206752Z test_Softshrink_lambda (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1206901Z test_Softshrink_lambda_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1207025Z test_Softshrink_lambda_scalar (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1207184Z test_Softshrink_lambda_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1207305Z test_Softshrink_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1207447Z test_Softshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1207550Z test_Softsign (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1207688Z test_Softsign_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1207804Z test_Softsign_no_batch_dim (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1207962Z test_Softsign_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1208073Z test_Softsign_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1208221Z test_Softsign_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1208319Z test_Tanh (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1208442Z test_Tanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1208555Z test_Tanh_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1208703Z test_Tanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1208808Z test_Tanh_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1208950Z test_Tanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1209056Z test_Tanhshrink (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1209201Z test_Tanhshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1209320Z test_Tanhshrink_no_batch_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1209465Z test_Tanhshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1209577Z test_Tanhshrink_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1209727Z test_Tanhshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1209850Z test_Threshold_large_value (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1210004Z test_Threshold_large_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1210122Z test_Threshold_no_batch_dim (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1210276Z test_Threshold_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1210402Z test_Threshold_threshold_value (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1210549Z test_Threshold_threshold_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1210680Z test_Threshold_threshold_value_scalar (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1210848Z test_Threshold_threshold_value_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1211002Z test_TransformerDecoderLayer_gelu_activation (__main__.TestNN) ... ok (0.074s) 2022-11-23T01:53:41.1211220Z test_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1211371Z test_TransformerDecoderLayer_relu_activation (__main__.TestNN) ... ok (0.074s) 2022-11-23T01:53:41.1211560Z test_TransformerDecoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1211709Z test_TransformerEncoderLayer_gelu_activation (__main__.TestNN) ... ok (0.041s) 2022-11-23T01:53:41.1211946Z test_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1212081Z test_TransformerEncoderLayer_relu_activation (__main__.TestNN) ... ok (0.170s) 2022-11-23T01:53:41.1212265Z test_TransformerEncoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1212381Z test_Transformer_cell (__main__.TestNN) ... ok (0.639s) 2022-11-23T01:53:41.1212511Z test_Transformer_multilayer_coder (__main__.TestNN) ... ok (0.415s) 2022-11-23T01:53:41.1212675Z test_Transformer_multilayer_coder_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1212815Z test_TripletMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1212998Z test_TripletMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1213182Z test_TripletMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1213349Z test_TripletMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1213487Z test_TripletMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1213667Z test_TripletMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1213848Z test_TripletMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1214028Z test_TripletMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1214164Z test_TripletMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1214343Z test_TripletMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1214523Z test_TripletMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1214698Z test_TripletMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1214804Z test_Unflatten_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1214958Z test_Unflatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1215061Z test_Unfold (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1215199Z test_Unfold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1215313Z test_Unfold_int_input (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1215461Z test_Unfold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1215566Z test_ZeroPad2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1215683Z test_ZeroPad2d_complex (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1215826Z test_ZeroPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1215970Z test_ZeroPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1216094Z test_ZeroPad2d_negative_dims (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1216255Z test_ZeroPad2d_negative_dims_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1216406Z test_ZeroPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1216568Z test_ZeroPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1216684Z test_adaptive_log_softmax (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1216787Z test_add_module (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1216910Z test_add_module_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1217049Z test_affine_grid (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1217156Z test_affine_grid_3d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1217279Z test_affine_grid_error_checking (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1217382Z test_assignment (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1217506Z test_backward_hooks_interaction (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1217656Z test_batchnorm_buffer_update_when_stats_are_not_tracked (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1217800Z test_batchnorm_cudnn_half (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:53:41.1217929Z test_batchnorm_cudnn_nhwc (__main__.TestNN) ... skip: CUDA unavailable (0.002s) 2022-11-23T01:53:41.1218043Z test_batchnorm_nhwc_cpu (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.1218183Z test_batchnorm_nhwc_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.1218304Z test_batchnorm_non_contig_cpu (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1218465Z test_batchnorm_nonaffine_cuda_half_input (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:53:41.1218619Z test_batchnorm_raises_error_if_bias_is_not_same_size_as_input (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1218776Z test_batchnorm_raises_error_if_less_than_one_value_per_channel (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1218941Z test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1219093Z test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1219264Z test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad (__main__.TestNN) ... ok (0.013s) 2022-11-23T01:53:41.1219421Z test_batchnorm_raises_error_if_weight_is_not_same_size_as_input (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1219546Z test_bce_loss_always_nonnegative (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1219672Z test_bce_loss_broadcasts_weights (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1219786Z test_bce_loss_input_range (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1219904Z test_bce_loss_size_mismatch (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1220042Z test_bce_with_logits_broadcasts_pos_weights (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1220162Z test_bce_with_logits_broadcasts_weights (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1220318Z test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1220500Z test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad (__main__.TestNN) ... ok (0.033s) 2022-11-23T01:53:41.1220640Z test_bce_with_logits_has_correct_forward_grad (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1220775Z test_bce_with_logits_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1220930Z test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1221095Z test_bce_with_logits_raises_if_target_and_input_are_different_size (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1221218Z test_bce_with_logits_stability (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1221371Z test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1221490Z test_bilinear (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1221613Z test_bilinear_broadcasting (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1221726Z test_bilinear_no_bias (__main__.TestNN) ... ok (0.026s) 2022-11-23T01:53:41.1221845Z test_bilinear_non_contiguous (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1222176Z test_broadcast_double_backwards_gpu (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:53:41.1222425Z test_broadcast_no_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:53:41.1222658Z test_broadcast_not_requiring_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:53:41.1222778Z test_buffer_not_persistent (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1222892Z test_buffer_not_persistent_assign (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1223013Z test_buffer_not_persistent_del (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1223138Z test_buffer_not_persistent_load (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1223269Z test_buffer_not_persistent_overwrite (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1223393Z test_buffers_and_named_buffers (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1223503Z test_caching_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1223631Z Test the caching system of a parametrization ... ok (0.002s) 2022-11-23T01:53:41.1223781Z test_caching_parametrization_with_transfer_parametrizations_and_params (__main__.TestNN) 2022-11-23T01:53:41.1224019Z Test that transferring parametrizations doesn't cause issues with caching ... ok (0.003s) 2022-11-23T01:53:41.1224761Z test_call_supports_python_dict_output (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1284: UserWarning: Using non-full backward hooks on a Module that does not return a single Tensor or a tuple of Tensors is deprecated and will be removed in future versions. This hook will be missing some of the grad_output. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T01:53:41.1224978Z warnings.warn("Using non-full backward hooks on a Module that does not return a " 2022-11-23T01:53:41.1225046Z ok (0.002s) 2022-11-23T01:53:41.1225159Z test_channel_shuffle (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1225284Z test_channel_shuffle_return_self (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1225386Z test_children (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1225497Z test_clip_grad_norm (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1225595Z test_clip_grad_value (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1225702Z test_compute_nparams_to_prune (__main__.TestNN) 2022-11-23T01:53:41.1225842Z Test that requested pruning `amount` gets translated into the ... ok (0.001s) 2022-11-23T01:53:41.1225952Z test_container_copy (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1226099Z test_convert_sync_batchnorm (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.1226235Z test_cosine_embedding_loss_invalid_shape (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1226372Z test_cosine_embedding_loss_margin_no_reduce (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1226502Z test_cosine_embedding_loss_no_reduce (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1226624Z test_cosine_embedding_loss_with_diff_type (__main__.TestNN) ... ok (0.037s) 2022-11-23T01:53:41.1226744Z test_cosine_similarity (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1226857Z test_cross_entropy_loss (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1226984Z test_cross_entropy_loss_precision (__main__.TestNN) ... ok (3.528s) 2022-11-23T01:53:41.1227108Z test_cross_entropy_loss_zero_div (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1227360Z test_cudnn_rnn_dropout_states_device (__main__.TestNN) ... skip: CUDNN or multi-gpu not available (0.001s) 2022-11-23T01:53:41.1227568Z test_cudnn_weight_format (__main__.TestNN) ... skip: CUDNN not available (0.002s) 2022-11-23T01:53:41.1227713Z test_cudnn_weight_tying (__main__.TestNN) ... skip: CUDNN not available (0.001s) 2022-11-23T01:53:41.1227806Z test_custom_from_mask_pruning (__main__.TestNN) 2022-11-23T01:53:41.1227941Z Test that the CustomFromMask is capable of receiving ... ok (0.002s) 2022-11-23T01:53:41.1228061Z test_deepcopy_after_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1228297Z Test that we are able to create a deepcopy of the module when it's parametrized. ... ok (0.007s) 2022-11-23T01:53:41.1228425Z test_dir (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1228527Z test_dir_digit (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1228646Z test_elu_inplace_gradgrad (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1228759Z test_elu_inplace_on_view (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1228862Z test_error_RNN_seq_len_zero (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.1229014Z test_errors_parametrized_tensor_parametrization (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1229163Z test_errors_unparametrized_tensor_parametrization (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1229268Z test_extra_state (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1229400Z test_extra_state_missing_get_extra_state (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1229530Z test_extra_state_missing_set_extra_state (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1229646Z test_extra_state_non_dict (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1230016Z test_fb_fc_packed (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:5090: UserWarning: fbgemm_pack_gemm_matrix_fp16 is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:382.) 2022-11-23T01:53:41.1230134Z packed_w_tensor = torch.fbgemm_pack_gemm_matrix_fp16(w_tensor) 2022-11-23T01:53:41.1230482Z /var/lib/jenkins/workspace/test/test_nn.py:5091: UserWarning: fbgemm_linear_fp16_weight_fp32_activation is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:417.) 2022-11-23T01:53:41.1230636Z actual_output = torch.fbgemm_linear_fp16_weight(x_tensor, packed_w_tensor, b_tensor) 2022-11-23T01:53:41.1230703Z ok (0.002s) 2022-11-23T01:53:41.1230805Z test_flatten (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1230919Z test_fold_invalid_arg (__main__.TestNN) ... ok (0.030s) 2022-11-23T01:53:41.1231036Z test_gaussian_nll_loss_args (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1231166Z test_gaussian_nll_loss_broadcasting (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1231268Z test_get_buffer (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1231379Z test_get_buffer_from_submodules (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1231518Z test_getattr_with_property (__main__.TestNN) ... expected failure (0.001s) 2022-11-23T01:53:41.1231611Z test_global_pruning (__main__.TestNN) 2022-11-23T01:53:41.1231760Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.002s) 2022-11-23T01:53:41.1231879Z test_global_pruning_importance_scores (__main__.TestNN) 2022-11-23T01:53:41.1232025Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.002s) 2022-11-23T01:53:41.1232135Z test_grid_sample (__main__.TestNN) ... ok (0.846s) 2022-11-23T01:53:41.1232233Z test_grid_sample_3d (__main__.TestNN) ... ok (0.081s) 2022-11-23T01:53:41.1232858Z test_grid_sample_error_checking (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. 2022-11-23T01:53:41.1232933Z warnings.warn( 2022-11-23T01:53:41.1232998Z ok (0.034s) 2022-11-23T01:53:41.1233144Z test_hardtanh_backward (__main__.TestNN) ... ok (0.111s) 2022-11-23T01:53:41.1233271Z test_hardtanh_inplace_gradgrad (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1233386Z test_hook_backward_size (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1233796Z test_hook_backward_writeable (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:53:41.1233995Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:53:41.1234597Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T01:53:41.1234832Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-11-23T01:53:41.1234898Z ok (0.002s) 2022-11-23T01:53:41.1235021Z test_hook_buffer_registration (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1235123Z test_hook_cpp (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1235235Z test_hook_extra_input (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1235366Z test_hook_forward_preforward_writable (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1235475Z test_hook_inplace (__main__.TestNN) ... ok (0.025s) 2022-11-23T01:53:41.1235591Z test_hook_invalid_outputs (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1235704Z test_hook_last_arg_requires_grad (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1235821Z test_hook_no_requires_grad (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1235937Z test_hook_non_full_warning (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1236066Z test_hook_parameter_registration (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1236180Z test_hook_requires_grad (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1236304Z test_hook_submodule_registration (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1236960Z test_hooks (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T01:53:41.1237208Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-11-23T01:53:41.1237274Z ok (0.016s) 2022-11-23T01:53:41.1237381Z test_huber_loss_invalid_delta (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1237477Z test_identity_pruning (__main__.TestNN) 2022-11-23T01:53:41.1237615Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s) 2022-11-23T01:53:41.1237736Z test_initialization_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1237883Z Test that it is possible to initialize a parametrization when it ... ok (0.004s) 2022-11-23T01:53:41.1237990Z test_inplace_thnn (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1238096Z test_interpolate (__main__.TestNN) ... ok (0.135s) 2022-11-23T01:53:41.1238203Z test_interpolate_bicubic_2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1238365Z test_interpolate_bicubic_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1238494Z test_interpolate_bicubic_2d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1238752Z test_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1238881Z test_interpolate_bicubic_scale_2d (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1239089Z test_interpolate_bicubic_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1239233Z test_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1239413Z test_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1239541Z test_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1239699Z test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1239924Z test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1240104Z test_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1240230Z test_interpolate_bicubic_tuple_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1240375Z test_interpolate_bicubic_tuple_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1240556Z test_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1240719Z test_interpolate_bicubic_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1240842Z test_interpolate_bilinear_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1240986Z test_interpolate_bilinear_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1241119Z test_interpolate_bilinear_2d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1241286Z test_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1241416Z test_interpolate_bilinear_scale_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1241583Z test_interpolate_bilinear_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1241731Z test_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1241913Z test_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1242056Z test_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1242215Z test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1242402Z test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1242582Z test_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1242712Z test_interpolate_bilinear_tuple_2d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1242856Z test_interpolate_bilinear_tuple_2d_align_corners (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1243037Z test_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1243203Z test_interpolate_bilinear_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1243363Z test_interpolate_illegal_memory_access (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:53:41.1243483Z test_interpolate_linear_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1243607Z test_interpolate_linear_1d_align_corners (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1243796Z test_interpolate_linear_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1243951Z test_interpolate_linear_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1244080Z test_interpolate_linear_1d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1244278Z test_interpolate_linear_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1244407Z test_interpolate_linear_scale_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1244548Z test_interpolate_linear_scale_1d_align_corners (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1244726Z test_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1245090Z test_interpolate_linear_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1245270Z test_interpolate_linear_tuple_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1245438Z test_interpolate_linear_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1245557Z test_interpolate_nearest_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1245716Z test_interpolate_nearest_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1245848Z test_interpolate_nearest_1d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1246014Z test_interpolate_nearest_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1246135Z test_interpolate_nearest_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1246291Z test_interpolate_nearest_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1246418Z test_interpolate_nearest_2d_launch_configs (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1246595Z test_interpolate_nearest_2d_launch_configs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1246725Z test_interpolate_nearest_2d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1246891Z test_interpolate_nearest_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1247012Z test_interpolate_nearest_3d (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1247172Z test_interpolate_nearest_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1247300Z test_interpolate_nearest_3d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1247466Z test_interpolate_nearest_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1247593Z test_interpolate_nearest_scale_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1247745Z test_interpolate_nearest_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1247871Z test_interpolate_nearest_scale_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1248030Z test_interpolate_nearest_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1248157Z test_interpolate_nearest_scale_3d (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1248322Z test_interpolate_nearest_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1248450Z test_interpolate_nearest_tuple_1d (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1248614Z test_interpolate_nearest_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1248740Z test_interpolate_nearest_tuple_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1248888Z test_interpolate_nearest_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1249020Z test_interpolate_nearest_tuple_3d (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1249184Z test_interpolate_nearest_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1249306Z test_interpolate_trilinear_3d (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1249465Z test_interpolate_trilinear_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1249598Z test_interpolate_trilinear_3d_zero_dim (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1249806Z test_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1249937Z test_interpolate_trilinear_scale_3d (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1250072Z test_interpolate_trilinear_scale_3d_align_corners (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1250254Z test_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1250464Z test_interpolate_trilinear_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1250597Z test_interpolate_trilinear_tuple_3d (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1250745Z test_interpolate_trilinear_tuple_3d_align_corners (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1250929Z test_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1251098Z test_interpolate_trilinear_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1251219Z test_kl_div_log_softmax_target (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1251919Z test_kl_div_with_diff_type (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1251999Z warnings.warn( 2022-11-23T01:53:41.1252053Z ok (0.002s) 2022-11-23T01:53:41.1252181Z test_kl_div_with_diff_type_log_target (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1252294Z test_l1_loss_correct (__main__.TestNN) ... ok (10.410s) 2022-11-23T01:53:41.1252405Z test_l1_unstructured_pruning (__main__.TestNN) 2022-11-23T01:53:41.1252552Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.003s) 2022-11-23T01:53:41.1252687Z test_l1_unstructured_pruning_with_importance_scores (__main__.TestNN) 2022-11-23T01:53:41.1252830Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.002s) 2022-11-23T01:53:41.1252957Z test_layer_norm_grads_with_create_graph_flag (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1253100Z test_linear_autograd_device_cpu_bias_weightCOO (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1253603Z test_linear_autograd_device_cpu_bias_weightCSC (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:9899: UserWarning: Sparse CSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:53:41.1253742Z module.weight = nn.Parameter(module.weight.to_sparse_csc()) 2022-11-23T01:53:41.1253811Z ok (0.016s) 2022-11-23T01:53:41.1253956Z test_linear_autograd_device_cpu_bias_weightCSR (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1254105Z test_linear_autograd_device_cpu_bias_weightStrided (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1254251Z test_linear_autograd_device_cpu_nobias_weightCOO (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1254393Z test_linear_autograd_device_cpu_nobias_weightCSC (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1254533Z test_linear_autograd_device_cpu_nobias_weightCSR (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1254672Z test_linear_autograd_device_cpu_nobias_weightStrided (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1254790Z test_linear_broadcasting (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1254895Z test_ln_structured_pruning (__main__.TestNN) 2022-11-23T01:53:41.1255010Z Check Ln structured pruning by hand. ... ok (0.002s) 2022-11-23T01:53:41.1255169Z test_ln_structured_pruning_importance_scores (__main__.TestNN) 2022-11-23T01:53:41.1255282Z Check Ln structured pruning by hand. ... ok (0.002s) 2022-11-23T01:53:41.1255390Z test_load_state_dict (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1255494Z test_load_state_dict_BC (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1255610Z test_load_state_dict_child (__main__.TestNN) ... ok (0.103s) 2022-11-23T01:53:41.1255727Z test_load_state_dict_custom (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1255880Z test_load_state_dict_invalid (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1256001Z test_load_state_dict_ref_cycle (__main__.TestNN) ... ok (0.174s) 2022-11-23T01:53:41.1256116Z test_load_state_dict_type (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1256225Z test_log_softmax_cpu (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1256336Z test_log_softmax_dim0 (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1256473Z test_log_softmax_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1256581Z test_log_softmax_dim3 (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1256732Z test_log_softmax_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1256845Z test_log_softmax_lastdim (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1256998Z test_log_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1257113Z test_log_softmax_scalar (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1257263Z test_log_softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1257376Z test_log_softmax_spatial (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1257516Z test_log_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1257643Z test_log_softmax_spatial_special (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1257808Z test_log_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1258180Z test_loss_equal_input_target_shape (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:6136: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1258327Z 'mse_loss': lambda x, y: F.mse_loss(x, y), 2022-11-23T01:53:41.1258644Z /var/lib/jenkins/workspace/test/test_nn.py:6137: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1258779Z 'l1_loss': lambda x, y: F.l1_loss(x, y), 2022-11-23T01:53:41.1259101Z /var/lib/jenkins/workspace/test/test_nn.py:6138: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1259264Z 'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y), 2022-11-23T01:53:41.1259571Z /var/lib/jenkins/workspace/test/test_nn.py:6139: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1259723Z 'huber_loss': lambda x, y: F.huber_loss(x, y), 2022-11-23T01:53:41.1260320Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:53:41.1260396Z warnings.warn( 2022-11-23T01:53:41.1260492Z ok (0.024s) 2022-11-23T01:53:41.1260633Z test_margin_ranking_loss_margin_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1260760Z test_margin_ranking_loss_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1260880Z test_module_apply_inplace_op (__main__.TestNN) ... ok (0.012s) 2022-11-23T01:53:41.1260995Z test_module_backcompat (__main__.TestNN) ... ok (0.032s) 2022-11-23T01:53:41.1261139Z test_module_to_argparse (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1261227Z test_modules (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1261343Z test_mse_loss_size_warning (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1261495Z test_multihead_attention_average_attn_weights_False (__main__.TestNN) ... ok (2.282s) 2022-11-23T01:53:41.1261640Z test_multihead_attention_average_attn_weights_True (__main__.TestNN) ... ok (2.269s) 2022-11-23T01:53:41.1261765Z test_multihead_attn_3d_attn_mask (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1261904Z test_multihead_attn_fast_path_invalid_shape (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1262032Z test_multihead_attn_invalid_shape (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1262424Z test_multihead_attn_nested_tensor_outside_fast_path (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:5598: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:53:41.1262547Z nt = torch.nested.nested_tensor([torch.randn(4, 4)]) 2022-11-23T01:53:41.1262600Z ok (0.003s) 2022-11-23T01:53:41.1262718Z test_multihead_attn_no_bias (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1262862Z test_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1263044Z test_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1263179Z test_multiple_inputs_parametrization (__main__.TestNN) ... ok (0.009s) 2022-11-23T01:53:41.1263299Z test_multiple_pruning_calls (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1263407Z test_named_children (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1263502Z test_named_modules (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1263637Z test_named_parameters_remove_duplicate (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1263757Z test_nested_tensor_from_mask (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1263883Z test_nested_tensor_from_mask_error (__main__.TestNN) ... ok (0.020s) 2022-11-23T01:53:41.1263995Z test_new_spectral_norm (__main__.TestNN) ... ok (0.041s) 2022-11-23T01:53:41.1264113Z test_new_spectral_norm_dim (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1264234Z test_new_spectral_norm_forward (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1264364Z test_new_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1264453Z test_no_grad (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1264568Z test_non_leaf_parameters (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1264669Z test_normalize (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1264783Z test_orthogonal_errors (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1264911Z test_orthogonal_parametrization (__main__.TestNN) ... ok (0.195s) 2022-11-23T01:53:41.1265048Z test_overwrite_module_params_on_conversion (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1265205Z test_pack_sequence_batch_sizes_throw (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.1265317Z test_pad_scalar_error (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1265412Z test_padding_list (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1265524Z test_pairwise_distance (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1265673Z test_parameter_assignment (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1265801Z test_parameterlistdict_pickle (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1265942Z test_parameterlistdict_setting_attributes (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1266074Z test_parameters_and_named_parameters (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1266192Z test_parameters_to_vector (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1266302Z test_parametrization_same_training_mode (__main__.TestNN) 2022-11-23T01:53:41.1266477Z Test training mode updated on parametrization registration ... ok (0.001s) 2022-11-23T01:53:41.1266578Z test_parse_to (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1266723Z test_partial_flat_weights (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.1266822Z test_pdist (__main__.TestNN) ... ok (0.016s) 2022-11-23T01:53:41.1266976Z test_pdist_cpu_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.007s) 2022-11-23T01:53:41.1267132Z test_pdist_cuda_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.009s) 2022-11-23T01:53:41.1267242Z test_pdist_empty_col (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1267341Z test_pdist_empty_row (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1267448Z test_pdist_large (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1267537Z test_pdist_zeros (__main__.TestNN) 2022-11-23T01:53:41.1267655Z Test that grad is still valid when dist is 0 ... ok (0.008s) 2022-11-23T01:53:41.1267776Z test_pixel_shuffle_nhwc_cpu (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1267896Z test_pixel_shuffle_unshuffle (__main__.TestNN) ... ok (0.472s) 2022-11-23T01:53:41.1268261Z test_pointwise_loss_broadcast (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1268433Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1268747Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1268901Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1269217Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1269383Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1269698Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1269860Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1270169Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1270334Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1270645Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1270808Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1271145Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1271310Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T01:53:41.1271618Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1271808Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1272118Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1272280Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1272586Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1272746Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1273053Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1273214Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1273523Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1273681Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1273986Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1274148Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1274453Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1274600Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1274904Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1275089Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1275389Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1275576Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1275909Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1276096Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1276398Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1276582Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1276916Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1277099Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1277410Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1277591Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1277888Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1278072Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T01:53:41.1278376Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1278632Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1278939Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1279113Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1279423Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1279592Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1279899Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1280069Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1280373Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1280543Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1280831Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1281000Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1281342Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T01:53:41.1281512Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T01:53:41.1281581Z ok (0.039s) 2022-11-23T01:53:41.1281727Z test_pointwise_loss_target_grad_none_reduction (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1281891Z test_poisson_nll_loss_reduction_modes (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1282022Z test_projections_errors_on_gru_and_rnn (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1282149Z test_projections_lstm_args_check (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1282381Z test_projections_lstm_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:53:41.1282517Z test_projections_lstm_initial_hidden_state (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1282618Z test_prune (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1282741Z test_prune_importance_scores (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1282877Z test_prune_importance_scores_mimic_default (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1282991Z test_pruning_container (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1283108Z test_pruning_container_compute_mask (__main__.TestNN) 2022-11-23T01:53:41.1283249Z Test `compute_mask` of pruning container with a known `t` and ... ok (0.002s) 2022-11-23T01:53:41.1283342Z test_pruning_id_consistency (__main__.TestNN) 2022-11-23T01:53:41.1283552Z Test that pruning doesn't change the id of the parameters, which ... ok (0.001s) 2022-11-23T01:53:41.1283648Z test_pruning_rollback (__main__.TestNN) 2022-11-23T01:53:41.1283788Z Test that if something fails when the we try to compute the mask, ... ok (0.003s) 2022-11-23T01:53:41.1283916Z test_pruning_serialization_model (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1284049Z test_pruning_serialization_state_dict (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1284158Z test_random_pruning (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1284248Z test_random_pruning_0perc (__main__.TestNN) 2022-11-23T01:53:41.1284382Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s) 2022-11-23T01:53:41.1284485Z test_random_pruning_forward (__main__.TestNN) 2022-11-23T01:53:41.1284595Z check forward with mask (by hand). ... ok (0.002s) 2022-11-23T01:53:41.1284700Z test_random_pruning_new_weight (__main__.TestNN) 2022-11-23T01:53:41.1285011Z Test that module.name now contains a pruned version of ... ok (0.002s) 2022-11-23T01:53:41.1285141Z test_random_pruning_orig (__main__.TestNN) 2022-11-23T01:53:41.1285336Z Test that original tensor is correctly stored in 'orig' ... ok (0.002s) 2022-11-23T01:53:41.1285444Z test_random_pruning_pickle (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1285548Z test_random_pruning_sizes (__main__.TestNN) 2022-11-23T01:53:41.1285693Z Test that the new parameters and buffers created by the pruning ... ok (0.002s) 2022-11-23T01:53:41.1285823Z test_random_structured_pruning_amount (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1285956Z test_register_and_remove_buffer_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1286111Z Test that it is possible to add and remove parametrizations on buffers ... ok (0.003s) 2022-11-23T01:53:41.1286248Z test_register_and_remove_nested_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1286381Z Test that it is possible to nest the parametrizations ... ok (0.003s) 2022-11-23T01:53:41.1286493Z test_register_and_remove_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1286629Z Test that it is possible to add a few parametrizations ... ok (0.019s) 2022-11-23T01:53:41.1286777Z test_register_buffer_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1286980Z test_register_buffer_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1287130Z test_register_buffer_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1287270Z test_register_buffer_raises_error_if_not_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1287425Z test_register_parameter_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1287571Z test_register_parameter_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1287764Z test_register_parameter_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1287882Z test_relu_inplace_on_view (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1287976Z test_remove_pruning (__main__.TestNN) 2022-11-23T01:53:41.1288117Z `prune.remove` removes the hook and the reparametrization ... ok (0.003s) 2022-11-23T01:53:41.1288225Z test_remove_pruning_exception (__main__.TestNN) 2022-11-23T01:53:41.1288366Z Removing from an unpruned tensor throws an assertion error ... ok (0.001s) 2022-11-23T01:53:41.1288470Z test_remove_pruning_forward (__main__.TestNN) 2022-11-23T01:53:41.1288597Z Remove pruning and check forward is unchanged from previous ... ok (0.002s) 2022-11-23T01:53:41.1288695Z test_repr (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1288802Z test_requires_grad_ (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1288907Z test_rnn_args_check (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1289130Z test_rnn_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:53:41.1289251Z test_rnn_initial_hidden_state (__main__.TestNN) ... ok (0.015s) 2022-11-23T01:53:41.1289356Z test_rnn_pruning (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1289465Z test_rnn_weight_norm (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1289573Z test_serialization_parametrization (__main__.TestNN) 2022-11-23T01:53:41.1289729Z Test that it is possible to serialize a parametrized model via state_dict ... ok (0.006s) 2022-11-23T01:53:41.1290287Z test_share_memory (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:53:41.1290388Z warnings.warn(message, UserWarning) 2022-11-23T01:53:41.1290458Z ok (0.002s) 2022-11-23T01:53:41.1290587Z test_smoothl1loss_intergral_target (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1290729Z test_smoothl1loss_negative_beta_not_supported (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1290835Z test_softmax_cpu (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1290941Z test_softmax_functional_dim0 (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1291102Z test_softmax_functional_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1291225Z test_softmax_functional_dim3 (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1291387Z test_softmax_functional_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1291511Z test_softmax_functional_scalar (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1291673Z test_softmax_functional_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1291785Z test_softmax_lastdim (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1291936Z test_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1292043Z test_softmax_lastdim_dtype (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1292199Z test_softmax_lastdim_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1292309Z test_softmax_spatial (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1292462Z test_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1292619Z test_softmax_spatial_dtype (__main__.TestNN) ... ok (0.007s) 2022-11-23T01:53:41.1292778Z test_softmax_spatial_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1292900Z test_softmax_spatial_special (__main__.TestNN) ... ok (0.008s) 2022-11-23T01:53:41.1293058Z test_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T01:53:41.1293182Z test_softmin (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1293733Z test_spectral_norm (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:53:41.1293834Z warnings.warn(message, UserWarning) 2022-11-23T01:53:41.1293901Z ok (0.027s) 2022-11-23T01:53:41.1294019Z test_spectral_norm_dim (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1294139Z test_spectral_norm_forward (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1294266Z test_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.018s) 2022-11-23T01:53:41.1294383Z test_spectral_norm_pickle (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1294486Z test_state_dict (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1294626Z test_sync_batchnorm_accuracy_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.1294781Z test_sync_batchnorm_backward_elemt (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T01:53:41.1294897Z test_threshold_bfloat16 (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1295006Z test_threshold_int (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1295100Z test_to (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1295253Z test_train_errors_for_invalid_mode (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1295382Z test_transfer_parametrizations_and_params (__main__.TestNN) 2022-11-23T01:53:41.1295541Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.004s) 2022-11-23T01:53:41.1295692Z test_transfer_parametrizations_and_params_many_to_one (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1295835Z test_transfer_parametrizations_and_params_right_inverse (__main__.TestNN) 2022-11-23T01:53:41.1296005Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.002s) 2022-11-23T01:53:41.1296156Z test_transfer_parametrizations_and_params_single_param (__main__.TestNN) 2022-11-23T01:53:41.1296324Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.003s) 2022-11-23T01:53:41.1296444Z test_transformer_args_check (__main__.TestNN) ... ok (0.176s) 2022-11-23T01:53:41.1296572Z test_transformer_layer_args_check (__main__.TestNN) ... ok (0.011s) 2022-11-23T01:53:41.1296682Z test_transformerdecoder (__main__.TestNN) ... ok (0.098s) 2022-11-23T01:53:41.1296817Z test_transformerdecoderlayer (__main__.TestNN) ... ok (0.025s) 2022-11-23T01:53:41.1296951Z test_transformerdecoderlayer_gelu (__main__.TestNN) ... ok (0.030s) 2022-11-23T01:53:41.1297068Z test_triplet_margin_loss (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1297196Z test_triplet_margin_loss_no_reduce (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1297316Z test_triplet_margin_loss_swap (__main__.TestNN) ... ok (0.005s) 2022-11-23T01:53:41.1297450Z test_triplet_margin_loss_swap_no_reduce (__main__.TestNN) ... ok (0.004s) 2022-11-23T01:53:41.1297548Z test_type (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1297651Z test_type_before_parametrizations (__main__.TestNN) 2022-11-23T01:53:41.1297806Z Test that type_before_parametrizations always retrieves original type ... ok (0.001s) 2022-11-23T01:53:41.1298509Z test_unflatten (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.) 2022-11-23T01:53:41.1298623Z return super(Tensor, self).refine_names(names) 2022-11-23T01:53:41.1298689Z ok (0.002s) 2022-11-23T01:53:41.1298809Z test_unflatten_invalid_arg (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1298955Z test_unfold_invalid_arg (__main__.TestNN) ... ok (0.014s) 2022-11-23T01:53:41.1299077Z test_unstructured_pruning_same_magnitude (__main__.TestNN) 2022-11-23T01:53:41.1299223Z Since it may happen that the tensor to prune has entries with the ... ok (0.001s) 2022-11-23T01:53:41.1299359Z test_upsamplingBilinear2d_spatial_invariance (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1299483Z test_upsamplingLinear1d (__main__.TestNN) ... ok (0.017s) 2022-11-23T01:53:41.1299629Z test_upsamplingLinear1d_spatial_invariance (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1299757Z test_upsamplingTrilinear3d (__main__.TestNN) ... ok (0.044s) 2022-11-23T01:53:41.1299907Z test_upsamplingTrilinear3d_spatial_invariance (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1300023Z test_upsampling_bfloat16 (__main__.TestNN) ... ok (0.019s) 2022-11-23T01:53:41.1300162Z test_upsampling_not_recompute_scale_factor (__main__.TestNN) ... ok (0.010s) 2022-11-23T01:53:41.1300286Z test_upsampling_small_scale (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1300381Z test_validate_pruning_amount (__main__.TestNN) 2022-11-23T01:53:41.1300519Z Tests the second util function that validates the pruning ... ok (0.001s) 2022-11-23T01:53:41.1300632Z test_validate_pruning_amount_init (__main__.TestNN) 2022-11-23T01:53:41.1300766Z Test the first util function that validates the pruning ... ok (0.001s) 2022-11-23T01:53:41.1300884Z test_vector_to_parameters (__main__.TestNN) ... ok (0.001s) 2022-11-23T01:53:41.1300992Z test_weight_norm (__main__.TestNN) ... ok (0.006s) 2022-11-23T01:53:41.1301108Z test_weight_norm_pickle (__main__.TestNN) ... ok (0.002s) 2022-11-23T01:53:41.1301197Z test_zero_grad (__main__.TestNN) ... ok (0.003s) 2022-11-23T01:53:41.1301324Z test_calculate_gain_leaky_relu (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1301480Z test_calculate_gain_leaky_relu_only_accepts_numbers (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1301604Z test_calculate_gain_linear (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1301734Z test_calculate_gain_nonlinear (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1301893Z test_calculate_gain_only_accepts_valid_nonlinearities (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1302010Z test_constant (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1302123Z test_deprecation (__main__.TestNNInit) ... ok (0.004s) 2022-11-23T01:53:41.1302227Z test_dirac_identity (__main__.TestNNInit) ... ok (0.006s) 2022-11-23T01:53:41.1302362Z test_dirac_only_works_on_3_4_5d_inputs (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1302481Z test_dirac_properties (__main__.TestNNInit) ... ok (0.002s) 2022-11-23T01:53:41.1302580Z test_eye (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1302708Z test_eye_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1302821Z test_kaiming_normal (__main__.TestNNInit) ... ok (0.222s) 2022-11-23T01:53:41.1302975Z test_kaiming_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1303119Z test_kaiming_normal_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.004s) 2022-11-23T01:53:41.1303224Z test_kaiming_uniform (__main__.TestNNInit) ... ok (0.182s) 2022-11-23T01:53:41.1303375Z test_kaiming_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1303518Z test_kaiming_uniform_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.004s) 2022-11-23T01:53:41.1303652Z test_normal (__main__.TestNNInit) ... ok (0.989s) 2022-11-23T01:53:41.1303768Z test_ones_and_zeros (__main__.TestNNInit) ... ok (0.002s) 2022-11-23T01:53:41.1303877Z test_orthogonal (__main__.TestNNInit) ... ok (0.005s) 2022-11-23T01:53:41.1303997Z test_sparse_default_std (__main__.TestNNInit) ... ok (0.005s) 2022-11-23T01:53:41.1304127Z test_sparse_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1304327Z test_trunc_normal (__main__.TestNNInit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:53:41.1304433Z test_uniform (__main__.TestNNInit) ... ok (0.840s) 2022-11-23T01:53:41.1304547Z test_xavier_normal (__main__.TestNNInit) ... ok (0.411s) 2022-11-23T01:53:41.1304695Z test_xavier_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1304808Z test_xavier_uniform (__main__.TestNNInit) ... ok (0.075s) 2022-11-23T01:53:41.1304958Z test_xavier_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T01:53:41.1305107Z test_load_state_dict_module_pre_hook (__main__.TestStateDictHooks) ... ok (0.002s) 2022-11-23T01:53:41.1305249Z test_load_state_dict_post_hook (__main__.TestStateDictHooks) ... ok (0.002s) 2022-11-23T01:53:41.1305408Z test_load_state_dict_post_hook_backward_compatibility (__main__.TestStateDictHooks) ... ok (0.002s) 2022-11-23T01:53:41.1305548Z test_load_state_dict_pre_hook (__main__.TestStateDictHooks) ... ok (0.002s) 2022-11-23T01:53:41.1305684Z test_no_extra_ref_to_module (__main__.TestStateDictHooks) ... ok (0.001s) 2022-11-23T01:53:41.1305810Z test_pickled_hook (__main__.TestStateDictHooks) ... ok (0.001s) 2022-11-23T01:53:41.1305823Z 2022-11-23T01:53:41.1306027Z ---------------------------------------------------------------------- 2022-11-23T01:53:41.1306107Z Ran 2189 tests in 36.316s 2022-11-23T01:53:41.1306112Z 2022-11-23T01:53:41.1306207Z OK (skipped=1112, expected failures=3) 2022-11-23T01:53:41.1306215Z 2022-11-23T01:53:41.1306297Z Generating XML reports... 2022-11-23T01:53:41.1306544Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221123015303.xml 2022-11-23T01:53:41.1306824Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221123015303.xml 2022-11-23T01:53:41.1307110Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221123015303.xml 2022-11-23T01:53:41.1307374Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221123015303.xml 2022-11-23T01:53:41.1307640Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20221123015303.xml 2022-11-23T01:53:41.1307925Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221123015303.xml 2022-11-23T01:53:41.1308161Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNN-20221123015303.xml 2022-11-23T01:53:41.1308410Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNInit-20221123015303.xml 2022-11-23T01:53:41.1308682Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221123015303.xml 2022-11-23T01:53:41.1308687Z 2022-11-23T01:53:41.1309077Z ##[endgroup] 2022-11-23T01:53:41.1309348Z FINISHED PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_wv_9k8vb) 2022-11-23T01:53:41.1309353Z 2022-11-23T01:53:41.1309505Z Running test_ops ... [2022-11-23 01:53:41.076273] 2022-11-23T01:53:42.7070592Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:53:42.7105829Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:53:42.7751503Z Ignoring disabled issues: [] 2022-11-23T01:53:42.7907083Z Ignoring disabled issues: [] 2022-11-23T01:53:42.9926410Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:42.992173] 2022-11-23T01:53:42.9927300Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:42.992275] 2022-11-23T01:53:46.2553973Z 2022-11-23T01:53:46.2554452Z Expand the folded group to see the log file of test_ops 2022-11-23T01:53:46.2555794Z ##[group]PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_x6ftyott) 2022-11-23T01:53:46.2556710Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-ecb85ba28d4e0399.xml 2022-11-23T01:53:46.2557009Z ============================= test session starts ============================== 2022-11-23T01:53:46.2557372Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:53:46.2557635Z cachedir: .pytest_cache 2022-11-23T01:53:46.2558045Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:53:46.2558404Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:53:46.2558975Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:53:46.2559434Z collecting ... collected 0 items 2022-11-23T01:53:46.2559806Z Running 0 items in this shard: 2022-11-23T01:53:46.2560038Z 2022-11-23T01:53:46.2560242Z =============================== warnings summary =============================== 2022-11-23T01:53:46.2560633Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:53:46.2561144Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:53:46.2561502Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:53:46.2561638Z 2022-11-23T01:53:46.2561866Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:53:46.2562346Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-ecb85ba28d4e0399.xml - 2022-11-23T01:53:46.2562670Z ============================== 1 warning in 0.15s ============================== 2022-11-23T01:53:46.2562971Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:53:46.2563167Z 2022-11-23T01:53:46.2606622Z ##[endgroup] 2022-11-23T01:53:46.2607499Z FINISHED PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_x6ftyott) 2022-11-23T01:53:46.2608014Z 2022-11-23T01:53:46.2608053Z 2022-11-23T01:53:46.2608337Z Expand the folded group to see the log file of test_ops 2022-11-23T01:53:46.2609431Z ##[group]PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_vpzflzee) 2022-11-23T01:53:46.2610544Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-2fcdf2aa58578192.xml 2022-11-23T01:53:46.2611245Z ============================= test session starts ============================== 2022-11-23T01:53:46.2612081Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:53:46.2612692Z cachedir: .pytest_cache 2022-11-23T01:53:46.2613688Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:53:46.2614579Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:53:46.2615603Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:53:46.2616283Z collecting ... collected 0 items 2022-11-23T01:53:46.2616785Z Running 0 items in this shard: 2022-11-23T01:53:46.2617080Z 2022-11-23T01:53:46.2617318Z =============================== warnings summary =============================== 2022-11-23T01:53:46.2618354Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:53:46.2619647Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:53:46.2620509Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:53:46.2620817Z 2022-11-23T01:53:46.2621335Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:53:46.2622611Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-2fcdf2aa58578192.xml - 2022-11-23T01:53:46.2623383Z ============================== 1 warning in 0.15s ============================== 2022-11-23T01:53:46.2624083Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:53:46.2624559Z 2022-11-23T01:53:46.2625068Z ##[endgroup] 2022-11-23T01:53:46.2625940Z FINISHED PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_vpzflzee) 2022-11-23T01:53:46.2626445Z 2022-11-23T01:53:46.6335906Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:46.633190] 2022-11-23T01:53:49.6597712Z 2022-11-23T01:53:49.6598170Z Expand the folded group to see the log file of test_ops 2022-11-23T01:53:49.6599320Z ##[group]PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_4gp89ise) 2022-11-23T01:53:49.6599999Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-0d02a26983034852.xml 2022-11-23T01:53:49.6600315Z ============================= test session starts ============================== 2022-11-23T01:53:49.6600669Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:53:49.6601021Z cachedir: .pytest_cache 2022-11-23T01:53:49.6601484Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:53:49.6601829Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:53:49.6602585Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:53:49.6602959Z collecting ... collected 0 items 2022-11-23T01:53:49.6603214Z Running 0 items in this shard: 2022-11-23T01:53:49.6603392Z 2022-11-23T01:53:49.6603599Z =============================== warnings summary =============================== 2022-11-23T01:53:49.6604226Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:53:49.6605227Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:53:49.6605591Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:53:49.6605716Z 2022-11-23T01:53:49.6605946Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:53:49.6606415Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-0d02a26983034852.xml - 2022-11-23T01:53:49.6606745Z ============================== 1 warning in 0.02s ============================== 2022-11-23T01:53:49.6607033Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:53:49.6607234Z 2022-11-23T01:53:49.6607475Z ##[endgroup] 2022-11-23T01:53:49.6607830Z FINISHED PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_4gp89ise) 2022-11-23T01:53:49.6608029Z 2022-11-23T01:53:49.6608195Z Running test_ops_fwd_gradients ... [2022-11-23 01:53:49.660221] 2022-11-23T01:53:51.2676205Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:53:51.2682115Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:53:51.3423106Z Ignoring disabled issues: [] 2022-11-23T01:53:51.3579548Z Ignoring disabled issues: [] 2022-11-23T01:53:51.3625736Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:51.362253] 2022-11-23T01:53:51.3783456Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:51.378052] 2022-11-23T01:53:54.2914596Z 2022-11-23T01:53:54.2915121Z Expand the folded group to see the log file of test_ops_fwd_gradients 2022-11-23T01:53:54.2916256Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_mpfqe7yy) 2022-11-23T01:53:54.2917399Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-86cd2dd8c0fb584e.xml 2022-11-23T01:53:54.2918024Z ============================= test session starts ============================== 2022-11-23T01:53:54.2918658Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:53:54.2919064Z cachedir: .pytest_cache 2022-11-23T01:53:54.2919851Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:53:54.2920483Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:53:54.2921264Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:53:54.2921796Z collecting ... collected 0 items 2022-11-23T01:53:54.2922120Z Running 0 items in this shard: 2022-11-23T01:53:54.2922344Z 2022-11-23T01:53:54.2922546Z =============================== warnings summary =============================== 2022-11-23T01:53:54.2923217Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:53:54.2924181Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:53:54.2924909Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:53:54.2925156Z 2022-11-23T01:53:54.2925579Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:53:54.2926580Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-86cd2dd8c0fb584e.xml - 2022-11-23T01:53:54.2927134Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:53:54.2927423Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:53:54.2927617Z 2022-11-23T01:53:54.2927869Z ##[endgroup] 2022-11-23T01:53:54.2928278Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_mpfqe7yy) 2022-11-23T01:53:54.2928511Z 2022-11-23T01:53:54.2928515Z 2022-11-23T01:53:54.2928638Z Expand the folded group to see the log file of test_ops_fwd_gradients 2022-11-23T01:53:54.2929143Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_zv1pwa85) 2022-11-23T01:53:54.2929668Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-090f4bc44c73afd8.xml 2022-11-23T01:53:54.2930015Z ============================= test session starts ============================== 2022-11-23T01:53:54.2930362Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:53:54.2930621Z cachedir: .pytest_cache 2022-11-23T01:53:54.2931250Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:53:54.2931596Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:53:54.2932021Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:53:54.2932320Z collecting ... collected 0 items 2022-11-23T01:53:54.2932515Z Running 0 items in this shard: 2022-11-23T01:53:54.2932700Z 2022-11-23T01:53:54.2932816Z =============================== warnings summary =============================== 2022-11-23T01:53:54.2933173Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:53:54.2933716Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:53:54.2934059Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:53:54.2934193Z 2022-11-23T01:53:54.2934417Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:53:54.2934949Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-090f4bc44c73afd8.xml - 2022-11-23T01:53:54.2935315Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:53:54.2935605Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:53:54.2935805Z 2022-11-23T01:53:54.2936017Z ##[endgroup] 2022-11-23T01:53:54.2936428Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_zv1pwa85) 2022-11-23T01:53:54.2936660Z 2022-11-23T01:53:54.6639300Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:54.663434] 2022-11-23T01:53:57.4777497Z 2022-11-23T01:53:57.4781311Z Expand the folded group to see the log file of test_ops_fwd_gradients 2022-11-23T01:53:57.4782014Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_g0xkoq2f) 2022-11-23T01:53:57.4782698Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-4aeaaeec6ef24198.xml 2022-11-23T01:53:57.4783089Z ============================= test session starts ============================== 2022-11-23T01:53:57.4783526Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:53:57.4783871Z cachedir: .pytest_cache 2022-11-23T01:53:57.4784291Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:53:57.4784642Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:53:57.4785126Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:53:57.4785410Z collecting ... collected 0 items 2022-11-23T01:53:57.4785668Z Running 0 items in this shard: 2022-11-23T01:53:57.4785790Z 2022-11-23T01:53:57.4785903Z =============================== warnings summary =============================== 2022-11-23T01:53:57.4786243Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:53:57.4786812Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:53:57.4787215Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:53:57.4787347Z 2022-11-23T01:53:57.4787572Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:53:57.4788146Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-4aeaaeec6ef24198.xml - 2022-11-23T01:53:57.4788717Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:53:57.4789030Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:53:57.4789225Z 2022-11-23T01:53:57.4789510Z ##[endgroup] 2022-11-23T01:53:57.4789917Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_g0xkoq2f) 2022-11-23T01:53:57.4790279Z 2022-11-23T01:53:57.4790458Z Running test_ops_gradients ... [2022-11-23 01:53:57.478263] 2022-11-23T01:53:59.0782578Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:53:59.0796293Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:53:59.1396172Z Ignoring disabled issues: [] 2022-11-23T01:53:59.1559828Z Ignoring disabled issues: [] 2022-11-23T01:53:59.1602838Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:59.159919] 2022-11-23T01:53:59.1765521Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:59.176176] 2022-11-23T01:54:02.0502312Z 2022-11-23T01:54:02.0502868Z Expand the folded group to see the log file of test_ops_gradients 2022-11-23T01:54:02.0503816Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_2lnfqubp) 2022-11-23T01:54:02.0504463Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-4f70caa568058293.xml 2022-11-23T01:54:02.0504811Z ============================= test session starts ============================== 2022-11-23T01:54:02.0505460Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:54:02.0505836Z cachedir: .pytest_cache 2022-11-23T01:54:02.0506403Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:54:02.0507038Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:54:02.0507958Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:54:02.0508535Z collecting ... collected 0 items 2022-11-23T01:54:02.0508920Z Running 0 items in this shard: 2022-11-23T01:54:02.0509131Z 2022-11-23T01:54:02.0509237Z =============================== warnings summary =============================== 2022-11-23T01:54:02.0509763Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:54:02.0510309Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:54:02.0510667Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:54:02.0510798Z 2022-11-23T01:54:02.0511012Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:54:02.0511526Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-4f70caa568058293.xml - 2022-11-23T01:54:02.0511884Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:54:02.0512229Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:54:02.0512574Z 2022-11-23T01:54:02.0512984Z ##[endgroup] 2022-11-23T01:54:02.0513493Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_2lnfqubp) 2022-11-23T01:54:02.0513715Z 2022-11-23T01:54:02.0513719Z 2022-11-23T01:54:02.0514026Z Expand the folded group to see the log file of test_ops_gradients 2022-11-23T01:54:02.0514511Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_n1gq8xnx) 2022-11-23T01:54:02.0515017Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-624567f70a9fd70d.xml 2022-11-23T01:54:02.0515343Z ============================= test session starts ============================== 2022-11-23T01:54:02.0515759Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:54:02.0516001Z cachedir: .pytest_cache 2022-11-23T01:54:02.0516411Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:54:02.0516765Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:54:02.0517174Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:54:02.0517470Z collecting ... collected 0 items 2022-11-23T01:54:02.0517676Z Running 0 items in this shard: 2022-11-23T01:54:02.0517801Z 2022-11-23T01:54:02.0517910Z =============================== warnings summary =============================== 2022-11-23T01:54:02.0518245Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:54:02.0518836Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:54:02.0519190Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:54:02.0519320Z 2022-11-23T01:54:02.0519529Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:54:02.0520040Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-624567f70a9fd70d.xml - 2022-11-23T01:54:02.0520391Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:54:02.0520690Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:54:02.0520880Z 2022-11-23T01:54:02.0521078Z ##[endgroup] 2022-11-23T01:54:02.0521469Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_n1gq8xnx) 2022-11-23T01:54:02.0521685Z 2022-11-23T01:54:02.4340140Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:02.433613] 2022-11-23T01:54:05.2295060Z 2022-11-23T01:54:05.2295522Z Expand the folded group to see the log file of test_ops_gradients 2022-11-23T01:54:05.2296467Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_1iovbyww) 2022-11-23T01:54:05.2297458Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-eb374234278860d5.xml 2022-11-23T01:54:05.2298021Z ============================= test session starts ============================== 2022-11-23T01:54:05.2298571Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:54:05.2298999Z cachedir: .pytest_cache 2022-11-23T01:54:05.2299749Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:54:05.2300372Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:54:05.2301120Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:54:05.2301586Z collecting ... collected 0 items 2022-11-23T01:54:05.2301856Z Running 0 items in this shard: 2022-11-23T01:54:05.2302036Z 2022-11-23T01:54:05.2302197Z =============================== warnings summary =============================== 2022-11-23T01:54:05.2302976Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:54:05.2303801Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:54:05.2304390Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:54:05.2304613Z 2022-11-23T01:54:05.2305017Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:54:05.2306077Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-eb374234278860d5.xml - 2022-11-23T01:54:05.2306695Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:54:05.2307184Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:54:05.2307478Z 2022-11-23T01:54:05.2307856Z ##[endgroup] 2022-11-23T01:54:05.2308474Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_1iovbyww) 2022-11-23T01:54:05.2308824Z 2022-11-23T01:54:05.2309088Z Running test_ops_jit ... [2022-11-23 01:54:05.230153] 2022-11-23T01:54:06.8312579Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:54:06.8361213Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:54:06.8964686Z Ignoring disabled issues: [] 2022-11-23T01:54:06.9147370Z Ignoring disabled issues: [] 2022-11-23T01:54:06.9174574Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:06.917056] 2022-11-23T01:54:06.9353885Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:06.935002] 2022-11-23T01:54:09.8672206Z 2022-11-23T01:54:09.8672708Z Expand the folded group to see the log file of test_ops_jit 2022-11-23T01:54:09.8673608Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_1aih_g4z) 2022-11-23T01:54:09.8674460Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-9aed10c4d6d778e0.xml 2022-11-23T01:54:09.8674872Z ============================= test session starts ============================== 2022-11-23T01:54:09.8675396Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:54:09.8675862Z cachedir: .pytest_cache 2022-11-23T01:54:09.8676356Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:54:09.8676701Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:54:09.8677129Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:54:09.8677425Z collecting ... collected 0 items 2022-11-23T01:54:09.8677617Z Running 0 items in this shard: 2022-11-23T01:54:09.8677739Z 2022-11-23T01:54:09.8677850Z =============================== warnings summary =============================== 2022-11-23T01:54:09.8678195Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:54:09.8678789Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:54:09.8679136Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:54:09.8679270Z 2022-11-23T01:54:09.8679502Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:54:09.8679995Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-9aed10c4d6d778e0.xml - 2022-11-23T01:54:09.8680547Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:54:09.8680838Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:54:09.8681034Z 2022-11-23T01:54:09.8691876Z ##[endgroup] 2022-11-23T01:54:09.8692457Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_1aih_g4z) 2022-11-23T01:54:09.8692823Z 2022-11-23T01:54:09.8692852Z 2022-11-23T01:54:09.8692980Z Expand the folded group to see the log file of test_ops_jit 2022-11-23T01:54:09.8693514Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_y_5au9fn) 2022-11-23T01:54:09.8694001Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-f871334bca07e11e.xml 2022-11-23T01:54:09.8694324Z ============================= test session starts ============================== 2022-11-23T01:54:09.8694677Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:54:09.8694939Z cachedir: .pytest_cache 2022-11-23T01:54:09.8695354Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:54:09.8695698Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:54:09.8696120Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:54:09.8696414Z collecting ... collected 0 items 2022-11-23T01:54:09.8696620Z Running 0 items in this shard: 2022-11-23T01:54:09.8696730Z 2022-11-23T01:54:09.8696842Z =============================== warnings summary =============================== 2022-11-23T01:54:09.8697190Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:54:09.8697716Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:54:09.8698061Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:54:09.8698191Z 2022-11-23T01:54:09.8698415Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:54:09.8698900Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-f871334bca07e11e.xml - 2022-11-23T01:54:09.8699230Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:54:09.8699528Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:54:09.8699723Z 2022-11-23T01:54:09.8699937Z ##[endgroup] 2022-11-23T01:54:09.8700306Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_y_5au9fn) 2022-11-23T01:54:09.8700510Z 2022-11-23T01:54:10.2410374Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:10.240631] 2022-11-23T01:54:13.1317594Z 2022-11-23T01:54:13.1318300Z Expand the folded group to see the log file of test_ops_jit 2022-11-23T01:54:13.1319533Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_wc6fd887) 2022-11-23T01:54:13.1320160Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-026507a6aa6071bf.xml 2022-11-23T01:54:13.1320478Z ============================= test session starts ============================== 2022-11-23T01:54:13.1320844Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:54:13.1321109Z cachedir: .pytest_cache 2022-11-23T01:54:13.1321514Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:54:13.1322076Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:54:13.1322665Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:54:13.1322999Z collecting ... collected 0 items 2022-11-23T01:54:13.1323195Z Running 0 items in this shard: 2022-11-23T01:54:13.1323319Z 2022-11-23T01:54:13.1323432Z =============================== warnings summary =============================== 2022-11-23T01:54:13.1323860Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:54:13.1324433Z /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:54:13.1324992Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:54:13.1325130Z 2022-11-23T01:54:13.1325397Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:54:13.1326286Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-026507a6aa6071bf.xml - 2022-11-23T01:54:13.1326777Z ============================== 1 warning in 0.01s ============================== 2022-11-23T01:54:13.1327239Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:54:13.1327525Z 2022-11-23T01:54:13.1327915Z ##[endgroup] 2022-11-23T01:54:13.1328528Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_wc6fd887) 2022-11-23T01:54:13.1328885Z 2022-11-23T01:54:13.1329541Z Running test_overrides ... [2022-11-23 01:54:13.132153] 2022-11-23T01:54:13.1330457Z Executing ['/opt/conda/bin/python', '-bb', 'test_overrides.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:13.132378] 2022-11-23T01:54:16.4276044Z 2022-11-23T01:54:16.4276794Z Expand the folded group to see the log file of test_overrides 2022-11-23T01:54:16.4277949Z ##[group]PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_acd8lg74) 2022-11-23T01:54:16.4278316Z 2022-11-23T01:54:16.4278439Z Running tests... 2022-11-23T01:54:16.4279119Z ---------------------------------------------------------------------- 2022-11-23T01:54:16.4279747Z Test results will be stored in test-reports/python-unittest/test_overrides 2022-11-23T01:54:16.4280323Z test_broadcast_all (__main__.TestBroadcastAllOverride) ... ok (0.245s) 2022-11-23T01:54:16.4280951Z test_parameter_does_not_prevent_dispatch (__main__.TestDisabledTorchFunction) ... ok (0.001s) 2022-11-23T01:54:16.4281480Z test_wrapper (__main__.TestEinsumOverride) ... ok (0.003s) 2022-11-23T01:54:16.4281877Z test_gradcheck (__main__.TestGradCheckOverride) ... ok (0.015s) 2022-11-23T01:54:16.4282341Z test_newones (__main__.TestGradNewOnesOverride) ... ok (0.001s) 2022-11-23T01:54:16.4282902Z test_getitem (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T01:54:16.4283318Z test_getitem_subclass (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T01:54:16.4283702Z test_setitem (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T01:54:16.4284079Z test_setitem_subclass (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T01:54:16.4284460Z test_setitem_val (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T01:54:16.4285004Z test_iterator (__main__.TestIterator) ... ok (0.001s) 2022-11-23T01:54:16.4285324Z test_max (__main__.TestNamedTuple) ... ok (0.001s) 2022-11-23T01:54:16.4285658Z test_pickle (__main__.TestPickle) ... ok (0.001s) 2022-11-23T01:54:16.4285960Z test_rnn (__main__.TestRNN) ... ok (0.001s) 2022-11-23T01:54:16.4286298Z test_resolve_name (__main__.TestResolveName) ... ok (0.089s) 2022-11-23T01:54:16.4286675Z test_all_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4287069Z test_basic (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4287513Z test_disable_enable_subclass (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4288210Z test_disable_subclass_not_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4288673Z test_distributions_bernoulli (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4289080Z test_error_using_class_method_on_mode (__main__.TestTorchFunctionMode) ... ok (0.002s) 2022-11-23T01:54:16.4289454Z test_factory_override (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4289810Z test_get_cur_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4290209Z test_get_mode_stack (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4290569Z test_mode_notimplemented_loop (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4290911Z test_modes_handle_first (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4291228Z test_modes_return_notimplemented (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4291628Z test_nested_modes_with_python_has_torch_function (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4291944Z test_nested_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4292267Z test_nn_parse_to (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4292587Z test_reentrant_mode_idiom (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4292903Z test_restacking_with_ancestor (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4293259Z test_subclass_hash (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4293547Z test_with_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4293908Z test_with_mode_created_separately (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4294246Z test_with_nested_modes (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T01:54:16.4294594Z test_Tensor___add__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4294909Z test_Tensor___and__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4295201Z test_Tensor___array__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4295577Z test_Tensor___array_wrap__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4295892Z test_Tensor___bool__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4296261Z test_Tensor___complex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4296566Z test_Tensor___contains__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4296901Z test_Tensor___cuda_array_interface_____get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4297234Z test_Tensor___deepcopy__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4297532Z test_Tensor___div__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4297842Z test_Tensor___dlpack__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4298165Z test_Tensor___dlpack_device__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4298478Z test_Tensor___eq__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4298776Z test_Tensor___float__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4299090Z test_Tensor___floordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4299401Z test_Tensor___format__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4299692Z test_Tensor___ge__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4300005Z test_Tensor___getitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4300310Z test_Tensor___gt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4300616Z test_Tensor___iadd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4300973Z test_Tensor___iand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4301286Z test_Tensor___idiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4301596Z test_Tensor___ifloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4301901Z test_Tensor___ilshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4302208Z test_Tensor___imod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4302550Z test_Tensor___imul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4302852Z test_Tensor___index__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4303141Z test_Tensor___int__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4303457Z test_Tensor___invert__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4303762Z test_Tensor___ior__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4304059Z test_Tensor___irshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4304364Z test_Tensor___isub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4304664Z test_Tensor___ixor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4304960Z test_Tensor___le__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4305246Z test_Tensor___len__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4305549Z test_Tensor___long__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4305848Z test_Tensor___lshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4306136Z test_Tensor___lt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4306440Z test_Tensor___matmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4306742Z test_Tensor___mod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4307040Z test_Tensor___mul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4307320Z test_Tensor___ne__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4307619Z test_Tensor___nonzero__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4307921Z test_Tensor___or__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4308207Z test_Tensor___radd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4308515Z test_Tensor___rand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4308814Z test_Tensor___rdiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4309108Z test_Tensor___reduce_ex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4309418Z test_Tensor___repr__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4309724Z test_Tensor___reversed__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4310034Z test_Tensor___rfloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4310333Z test_Tensor___rlshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4310641Z test_Tensor___rmatmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4310944Z test_Tensor___rmod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4311235Z test_Tensor___rmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4311530Z test_Tensor___ror__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4311827Z test_Tensor___rpow__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4312128Z test_Tensor___rrshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4312426Z test_Tensor___rshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4312777Z test_Tensor___rsub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4313073Z test_Tensor___rxor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4313358Z test_Tensor___setitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4313667Z test_Tensor___setstate__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4313975Z test_Tensor___sub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4314321Z test_Tensor___truediv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4314612Z test_Tensor___xor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4314942Z test_Tensor__autocast_to_full_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4315296Z test_Tensor__autocast_to_reduced_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4315624Z test_Tensor__coalesced_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4315928Z test_Tensor__dimI (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4316225Z test_Tensor__dimV (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4316525Z test_Tensor__indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4316822Z test_Tensor__is_view (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4317138Z test_Tensor__nested_tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4317449Z test_Tensor__nnz (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4317738Z test_Tensor__storage (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4318053Z test_Tensor__to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4318367Z test_Tensor__update_names (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4318778Z test_Tensor__values (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4319068Z test_Tensor_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4319375Z test_Tensor_abs_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4319682Z test_Tensor_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4319980Z test_Tensor_absolute_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4320286Z test_Tensor_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4320596Z test_Tensor_acos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4320898Z test_Tensor_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4321187Z test_Tensor_acosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4321488Z test_Tensor_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4321787Z test_Tensor_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4322075Z test_Tensor_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4322379Z test_Tensor_addbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4322685Z test_Tensor_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4322982Z test_Tensor_addcdiv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4323288Z test_Tensor_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4323593Z test_Tensor_addcmul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4323894Z test_Tensor_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4324182Z test_Tensor_addmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4324485Z test_Tensor_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4325098Z test_Tensor_addmv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4325394Z test_Tensor_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4325696Z test_Tensor_addr_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4326040Z test_Tensor_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4326540Z test_Tensor_align_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4327131Z test_Tensor_align_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4327656Z test_Tensor_all (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4328161Z test_Tensor_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4328456Z test_Tensor_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4328757Z test_Tensor_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4329062Z test_Tensor_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4329484Z test_Tensor_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4329975Z test_Tensor_any (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4330448Z test_Tensor_apply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4331010Z test_Tensor_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4331441Z test_Tensor_arccos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4331747Z test_Tensor_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4332049Z test_Tensor_arccosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4332355Z test_Tensor_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4332645Z test_Tensor_arcsin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4332948Z test_Tensor_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4333247Z test_Tensor_arcsinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4333576Z test_Tensor_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4334042Z test_Tensor_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4334541Z test_Tensor_arctan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4335022Z test_Tensor_arctan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4335522Z test_Tensor_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4336020Z test_Tensor_arctanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4336512Z test_Tensor_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4336993Z test_Tensor_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4337470Z test_Tensor_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4337948Z test_Tensor_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4338453Z test_Tensor_as_strided (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4338992Z test_Tensor_as_strided_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4339577Z test_Tensor_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4340163Z test_Tensor_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4340647Z test_Tensor_asin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4341111Z test_Tensor_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4341601Z test_Tensor_asinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4342179Z test_Tensor_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4342662Z test_Tensor_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4343151Z test_Tensor_atan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4343644Z test_Tensor_atan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4344133Z test_Tensor_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4344646Z test_Tensor_atanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4345206Z test_Tensor_backward (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4345944Z test_Tensor_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4346518Z test_Tensor_baddbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4347073Z test_Tensor_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4347658Z test_Tensor_bernoulli_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4348226Z test_Tensor_bfloat16 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4348777Z test_Tensor_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4349352Z test_Tensor_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4349920Z test_Tensor_bitwise_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4350326Z test_Tensor_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4350643Z test_Tensor_bitwise_left_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4350963Z test_Tensor_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4351275Z test_Tensor_bitwise_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4351577Z test_Tensor_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4351888Z test_Tensor_bitwise_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4352213Z test_Tensor_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4352549Z test_Tensor_bitwise_right_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4352862Z test_Tensor_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4353181Z test_Tensor_bitwise_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4353483Z test_Tensor_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4353770Z test_Tensor_bool (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4354079Z test_Tensor_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4354386Z test_Tensor_byte (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4354678Z test_Tensor_cauchy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4354988Z test_Tensor_ccol_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4355305Z test_Tensor_cdouble (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4355606Z test_Tensor_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4355892Z test_Tensor_ceil_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4356199Z test_Tensor_cfloat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4356502Z test_Tensor_chalf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4356792Z test_Tensor_char (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4357611Z test_Tensor_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4357929Z test_Tensor_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4358320Z test_Tensor_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4358702Z test_Tensor_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4359020Z test_Tensor_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4359325Z test_Tensor_clamp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4359621Z test_Tensor_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4359981Z test_Tensor_clamp_max_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4360294Z test_Tensor_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4360604Z test_Tensor_clamp_min_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4360898Z test_Tensor_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4361201Z test_Tensor_clip_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4361505Z test_Tensor_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4361798Z test_Tensor_coalesce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4362111Z test_Tensor_col_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4362418Z test_Tensor_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4362727Z test_Tensor_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4363038Z test_Tensor_conj_physical_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4363359Z test_Tensor_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4363669Z test_Tensor_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4363966Z test_Tensor_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4364282Z test_Tensor_copysign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4364593Z test_Tensor_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4365078Z test_Tensor_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4365367Z test_Tensor_cos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4365665Z test_Tensor_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4365968Z test_Tensor_cosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4366267Z test_Tensor_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4366574Z test_Tensor_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4366872Z test_Tensor_cpu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4367168Z test_Tensor_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4367470Z test_Tensor_crow_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4367782Z test_Tensor_cuda (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4368083Z test_Tensor_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4368374Z test_Tensor_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4368677Z test_Tensor_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4368988Z test_Tensor_cumprod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4369281Z test_Tensor_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4369582Z test_Tensor_cumsum_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4369885Z test_Tensor_data_ptr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4370187Z test_Tensor_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4370579Z test_Tensor_deg2rad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4370893Z test_Tensor_dense_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4371207Z test_Tensor_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4371502Z test_Tensor_det (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4371803Z test_Tensor_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4372170Z test_Tensor_detach_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4372472Z test_Tensor_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4372765Z test_Tensor_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4373076Z test_Tensor_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4373385Z test_Tensor_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4373692Z test_Tensor_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4374008Z test_Tensor_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4374313Z test_Tensor_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4374621Z test_Tensor_digamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4374909Z test_Tensor_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4375213Z test_Tensor_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4375509Z test_Tensor_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4375792Z test_Tensor_div_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4376095Z test_Tensor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4376399Z test_Tensor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4376703Z test_Tensor_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4376987Z test_Tensor_double (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4377291Z test_Tensor_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4377602Z test_Tensor_element_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4377898Z test_Tensor_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4378192Z test_Tensor_eq_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4378490Z test_Tensor_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4378774Z test_Tensor_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4379071Z test_Tensor_erf_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4379369Z test_Tensor_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4379669Z test_Tensor_erfc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4379957Z test_Tensor_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4380261Z test_Tensor_erfinv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4380561Z test_Tensor_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4380848Z test_Tensor_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4381151Z test_Tensor_exp2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4381451Z test_Tensor_exp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4381754Z test_Tensor_expand (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4382050Z test_Tensor_expand_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4382358Z test_Tensor_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4382694Z test_Tensor_expm1_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4382995Z test_Tensor_exponential_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4383301Z test_Tensor_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4383611Z test_Tensor_fill_diagonal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4383918Z test_Tensor_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4384235Z test_Tensor_fix_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4384541Z test_Tensor_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4384841Z test_Tensor_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4385132Z test_Tensor_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4385438Z test_Tensor_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4385745Z test_Tensor_float (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4386042Z test_Tensor_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4386359Z test_Tensor_float_power_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4386665Z test_Tensor_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4386966Z test_Tensor_floor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4387262Z test_Tensor_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4387581Z test_Tensor_floor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4387887Z test_Tensor_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4388172Z test_Tensor_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4388470Z test_Tensor_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4388771Z test_Tensor_fmod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4389066Z test_Tensor_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4389350Z test_Tensor_frac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4389653Z test_Tensor_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4389954Z test_Tensor_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4390246Z test_Tensor_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4390543Z test_Tensor_gcd_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4390841Z test_Tensor_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4391135Z test_Tensor_ge_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4391428Z test_Tensor_geometric_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4391735Z test_Tensor_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4392033Z test_Tensor_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4392325Z test_Tensor_get_device (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4392635Z test_Tensor_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4392942Z test_Tensor_greater_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4393245Z test_Tensor_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4393567Z test_Tensor_greater_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4393873Z test_Tensor_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4394168Z test_Tensor_gt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4394482Z test_Tensor_half (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4394793Z test_Tensor_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4395104Z test_Tensor_has_names (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4395401Z test_Tensor_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4395713Z test_Tensor_heaviside_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4396055Z test_Tensor_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4396361Z test_Tensor_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4396654Z test_Tensor_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4396960Z test_Tensor_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4397265Z test_Tensor_hypot_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4397551Z test_Tensor_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4397851Z test_Tensor_i0_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4398150Z test_Tensor_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4398455Z test_Tensor_igamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4398830Z test_Tensor_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4399143Z test_Tensor_igammac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4399456Z test_Tensor_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4399757Z test_Tensor_index_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4400070Z test_Tensor_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4400384Z test_Tensor_index_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4400699Z test_Tensor_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4401000Z test_Tensor_index_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4401309Z test_Tensor_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4401620Z test_Tensor_index_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4401924Z test_Tensor_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4402244Z test_Tensor_index_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4402560Z test_Tensor_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4402871Z test_Tensor_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4403165Z test_Tensor_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4403467Z test_Tensor_int (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4403774Z test_Tensor_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4404067Z test_Tensor_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4404369Z test_Tensor_ipu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4404678Z test_Tensor_is_coalesced (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4405101Z test_Tensor_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4405412Z test_Tensor_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4405729Z test_Tensor_is_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4406055Z test_Tensor_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4406370Z test_Tensor_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4406754Z test_Tensor_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4407069Z test_Tensor_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4407359Z test_Tensor_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4407670Z test_Tensor_is_pinned (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4407982Z test_Tensor_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4408334Z test_Tensor_is_set_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4408629Z test_Tensor_is_shared (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4408938Z test_Tensor_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4409242Z test_Tensor_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4409538Z test_Tensor_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4409846Z test_Tensor_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4410149Z test_Tensor_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4410456Z test_Tensor_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4410751Z test_Tensor_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4411057Z test_Tensor_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4411359Z test_Tensor_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4411648Z test_Tensor_item (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4411947Z test_Tensor_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4412255Z test_Tensor_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4412558Z test_Tensor_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4412847Z test_Tensor_lcm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4413147Z test_Tensor_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4413455Z test_Tensor_ldexp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4413746Z test_Tensor_le (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4414045Z test_Tensor_le_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4414345Z test_Tensor_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4414634Z test_Tensor_lerp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4414937Z test_Tensor_less (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4415236Z test_Tensor_less_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4415543Z test_Tensor_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4415844Z test_Tensor_less_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4416150Z test_Tensor_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4416454Z test_Tensor_lgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4416743Z test_Tensor_log (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4417040Z test_Tensor_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4417340Z test_Tensor_log10_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4417639Z test_Tensor_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4417936Z test_Tensor_log1p_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4418238Z test_Tensor_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4418540Z test_Tensor_log2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4418862Z test_Tensor_log_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4419173Z test_Tensor_log_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4419484Z test_Tensor_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4419796Z test_Tensor_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4420102Z test_Tensor_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4420457Z test_Tensor_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4420769Z test_Tensor_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4421069Z test_Tensor_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4421385Z test_Tensor_logical_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4421702Z test_Tensor_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4422018Z test_Tensor_logical_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4422318Z test_Tensor_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4422632Z test_Tensor_logical_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4422942Z test_Tensor_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4423244Z test_Tensor_logical_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4423551Z test_Tensor_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4423852Z test_Tensor_logit_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4424147Z test_Tensor_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4424453Z test_Tensor_long (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4424752Z test_Tensor_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4425047Z test_Tensor_lt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4425328Z test_Tensor_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4425627Z test_Tensor_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4425930Z test_Tensor_map2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4426220Z test_Tensor_map_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4426527Z test_Tensor_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4426838Z test_Tensor_masked_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4427153Z test_Tensor_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4427463Z test_Tensor_masked_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4427791Z test_Tensor_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4428101Z test_Tensor_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4428394Z test_Tensor_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4428709Z test_Tensor_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4429014Z test_Tensor_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4429318Z test_Tensor_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4429608Z test_Tensor_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4429908Z test_Tensor_median (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4430206Z test_Tensor_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4430495Z test_Tensor_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4430835Z test_Tensor_mm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4431137Z test_Tensor_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4431440Z test_Tensor_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4431741Z test_Tensor_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4432048Z test_Tensor_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4432378Z test_Tensor_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4432661Z test_Tensor_mul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4432973Z test_Tensor_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4433289Z test_Tensor_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4433587Z test_Tensor_multiply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4433893Z test_Tensor_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4434199Z test_Tensor_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4434511Z test_Tensor_mvlgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4434809Z test_Tensor_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4435117Z test_Tensor_nan_to_num_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4435429Z test_Tensor_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4435727Z test_Tensor_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4436041Z test_Tensor_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4436350Z test_Tensor_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4436654Z test_Tensor_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4436955Z test_Tensor_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4437271Z test_Tensor_ndimension (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4437577Z test_Tensor_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4437860Z test_Tensor_ne_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4438159Z test_Tensor_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4438459Z test_Tensor_neg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4438891Z test_Tensor_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4439190Z test_Tensor_negative_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4439500Z test_Tensor_nelement (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4439813Z test_Tensor_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4440113Z test_Tensor_nextafter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4440424Z test_Tensor_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4440723Z test_Tensor_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4441024Z test_Tensor_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4441320Z test_Tensor_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4441630Z test_Tensor_not_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4441932Z test_Tensor_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4442221Z test_Tensor_numpy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4442522Z test_Tensor_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4442861Z test_Tensor_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4443147Z test_Tensor_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4443455Z test_Tensor_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4443767Z test_Tensor_pin_memory (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4444082Z test_Tensor_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4444413Z test_Tensor_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4444727Z test_Tensor_polygamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4445235Z test_Tensor_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4445531Z test_Tensor_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4445834Z test_Tensor_pow_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4446140Z test_Tensor_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4446444Z test_Tensor_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4446732Z test_Tensor_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4447028Z test_Tensor_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4447345Z test_Tensor_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4447671Z test_Tensor_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4448015Z test_Tensor_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4448340Z test_Tensor_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4448653Z test_Tensor_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4448946Z test_Tensor_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4449250Z test_Tensor_qscheme (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4449560Z test_Tensor_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4449856Z test_Tensor_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4450165Z test_Tensor_rad2deg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4450471Z test_Tensor_random_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4450774Z test_Tensor_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4451070Z test_Tensor_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4451391Z test_Tensor_reciprocal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4451714Z test_Tensor_record_stream (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4452026Z test_Tensor_refine_names (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4452346Z test_Tensor_register_hook (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4452657Z test_Tensor_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4452959Z test_Tensor_relu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4453253Z test_Tensor_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4453567Z test_Tensor_remainder_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4453878Z test_Tensor_rename (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4454172Z test_Tensor_rename_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4454475Z test_Tensor_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4454780Z test_Tensor_renorm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4455179Z test_Tensor_repeat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4455504Z test_Tensor_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4455831Z test_Tensor_requires_grad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4456149Z test_Tensor_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4456447Z test_Tensor_reshape_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4456810Z test_Tensor_resize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4457114Z test_Tensor_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4457406Z test_Tensor_resize_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4457717Z test_Tensor_resize_as_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4458040Z test_Tensor_resize_as_sparse_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4458364Z test_Tensor_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4458668Z test_Tensor_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4458980Z test_Tensor_retain_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4459288Z test_Tensor_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4459576Z test_Tensor_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4459880Z test_Tensor_round (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4460186Z test_Tensor_round_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4460498Z test_Tensor_row_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4460791Z test_Tensor_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4461096Z test_Tensor_rsqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4461402Z test_Tensor_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4461697Z test_Tensor_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4462010Z test_Tensor_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4462327Z test_Tensor_scatter_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4462651Z test_Tensor_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4462961Z test_Tensor_scatter_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4463273Z test_Tensor_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4463587Z test_Tensor_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4463883Z test_Tensor_set_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4464185Z test_Tensor_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4464484Z test_Tensor_sgn_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4464791Z test_Tensor_share_memory_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4465090Z test_Tensor_short (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4465394Z test_Tensor_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4465704Z test_Tensor_sigmoid_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4465993Z test_Tensor_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4466292Z test_Tensor_sign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4466598Z test_Tensor_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4466884Z test_Tensor_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4467214Z test_Tensor_sin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4467514Z test_Tensor_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4467818Z test_Tensor_sinc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4468102Z test_Tensor_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4468398Z test_Tensor_sinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4468729Z test_Tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4469032Z test_Tensor_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4469351Z test_Tensor_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4469654Z test_Tensor_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4469952Z test_Tensor_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4470245Z test_Tensor_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4470554Z test_Tensor_sparse_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4470867Z test_Tensor_sparse_mask (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4471173Z test_Tensor_sparse_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4471504Z test_Tensor_sparse_resize_and_clear_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4471830Z test_Tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4472144Z test_Tensor_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4472443Z test_Tensor_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4472743Z test_Tensor_sqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4473044Z test_Tensor_square (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4473338Z test_Tensor_square_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4473645Z test_Tensor_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4473948Z test_Tensor_squeeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4474257Z test_Tensor_sspaddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4474546Z test_Tensor_std (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4474844Z test_Tensor_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4475149Z test_Tensor_storage (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4475453Z test_Tensor_storage_offset (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4475772Z test_Tensor_storage_type (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4476084Z test_Tensor_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4476371Z test_Tensor_sub_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4476677Z test_Tensor_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4476989Z test_Tensor_subtract_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4477294Z test_Tensor_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4477587Z test_Tensor_sum_to_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4477891Z test_Tensor_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4478191Z test_Tensor_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4478493Z test_Tensor_swapaxes_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4478902Z test_Tensor_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4479266Z test_Tensor_swapdims_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4479577Z test_Tensor_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4479863Z test_Tensor_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4480161Z test_Tensor_t_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4480458Z test_Tensor_take (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4480797Z test_Tensor_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4481105Z test_Tensor_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4481405Z test_Tensor_tan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4481699Z test_Tensor_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4481986Z test_Tensor_tanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4482301Z test_Tensor_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4482608Z test_Tensor_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4482893Z test_Tensor_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4483199Z test_Tensor_to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4483509Z test_Tensor_to_mkldnn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4483827Z test_Tensor_to_sparse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4484118Z test_Tensor_tolist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4484417Z test_Tensor_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4484717Z test_Tensor_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4485160Z test_Tensor_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4485480Z test_Tensor_transpose_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4485802Z test_Tensor_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4486105Z test_Tensor_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4486404Z test_Tensor_tril_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4486703Z test_Tensor_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4487005Z test_Tensor_triu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4487301Z test_Tensor_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4487616Z test_Tensor_true_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4487924Z test_Tensor_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4488211Z test_Tensor_trunc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4488516Z test_Tensor_type (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4488819Z test_Tensor_type_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4489121Z test_Tensor_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4489411Z test_Tensor_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4489717Z test_Tensor_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4490024Z test_Tensor_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4490331Z test_Tensor_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4490658Z test_Tensor_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4490975Z test_Tensor_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4491380Z test_Tensor_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4491701Z test_Tensor_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4492012Z test_Tensor_unsqueeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4492318Z test_Tensor_values (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4492603Z test_Tensor_var (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4492950Z test_Tensor_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4493249Z test_Tensor_view (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4493555Z test_Tensor_view_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4493850Z test_Tensor_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4494152Z test_Tensor_where (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4494457Z test_Tensor_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4494745Z test_Tensor_xlogy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4495047Z test_Tensor_xpu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4495346Z test_Tensor_zero_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4495645Z test__TensorBase_H___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4495967Z test__TensorBase_T___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4496307Z test__TensorBase__backward_hooks___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4496643Z test__TensorBase__base___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4496954Z test__TensorBase__cdata___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4497278Z test__TensorBase__grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4497609Z test__TensorBase__grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4497941Z test__TensorBase__version___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4498255Z test__TensorBase_data___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4498586Z test__TensorBase_device___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4498915Z test__TensorBase_dtype___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4499227Z test__TensorBase_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4499553Z test__TensorBase_grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4499879Z test__TensorBase_imag___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4500206Z test__TensorBase_is_cpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4500524Z test__TensorBase_is_cuda___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4500858Z test__TensorBase_is_ipu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4501185Z test__TensorBase_is_leaf___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4501500Z test__TensorBase_is_meta___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4501832Z test__TensorBase_is_mkldnn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4502163Z test__TensorBase_is_mps___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4502491Z test__TensorBase_is_nested___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4502803Z test__TensorBase_is_ort___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4503175Z test__TensorBase_is_quantized___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4503516Z test__TensorBase_is_sparse___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4503842Z test__TensorBase_is_sparse_csr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4504177Z test__TensorBase_is_vulkan___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4504505Z test__TensorBase_is_xpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4504884Z test__TensorBase_layout___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4505193Z test__TensorBase_mH___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4505515Z test__TensorBase_mT___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4505839Z test__TensorBase_name___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4506151Z test__TensorBase_names___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4506475Z test__TensorBase_ndim___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4506800Z test__TensorBase_output_nr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4507132Z test__TensorBase_real___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4507455Z test__TensorBase_requires_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4507797Z test__TensorBase_retains_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4508128Z test__TensorBase_shape___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4508456Z test__TensorBase_volatile___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4508748Z test_base (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4509037Z test_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4509353Z test_has_torch_function_non_sequence (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4509653Z test_mean_semantics (__main__.TestTorchFunctionOverride) 2022-11-23T01:54:16.4509940Z Test that a function with one argument can be overrided ... ok (0.001s) 2022-11-23T01:54:16.4510225Z test_mm_semantics (__main__.TestTorchFunctionOverride) 2022-11-23T01:54:16.4510511Z Test that a function with multiple arguments can be overrided ... ok (0.002s) 2022-11-23T01:54:16.4510815Z test_pow_rpow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4511114Z test_precedence_semantics (__main__.TestTorchFunctionOverride) 2022-11-23T01:54:16.4511416Z Test semantics for __torch_function__ for functions that take ... ok (0.003s) 2022-11-23T01:54:16.4511711Z test_tensor_subclass_propagation (__main__.TestTorchFunctionOverride) 2022-11-23T01:54:16.4512014Z this test exercises the functionality described in ... ok (0.002s) 2022-11-23T01:54:16.4512316Z test_torch__C__fft_fft_fft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4512622Z test_torch__C__fft_fft_fft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4512940Z test_torch__C__fft_fft_fftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4513263Z test_torch__C__fft_fft_fftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4513586Z test_torch__C__fft_fft_hfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4513894Z test_torch__C__fft_fft_hfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4514212Z test_torch__C__fft_fft_hfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4514531Z test_torch__C__fft_fft_ifft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4514875Z test_torch__C__fft_fft_ifft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4515196Z test_torch__C__fft_fft_ifftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4515519Z test_torch__C__fft_fft_ifftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4515837Z test_torch__C__fft_fft_ihfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4516146Z test_torch__C__fft_fft_ihfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4516505Z test_torch__C__fft_fft_ihfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4516827Z test_torch__C__fft_fft_irfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4517130Z test_torch__C__fft_fft_irfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4517446Z test_torch__C__fft_fft_irfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4517765Z test_torch__C__fft_fft_rfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4518081Z test_torch__C__fft_fft_rfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4518380Z test_torch__C__fft_fft_rfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4518799Z test_torch__C__linalg_linalg_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4519149Z test_torch__C__linalg_linalg_cholesky_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4519483Z test_torch__C__linalg_linalg_cond (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4519819Z test_torch__C__linalg_linalg_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4520154Z test_torch__C__linalg_linalg_det (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4520491Z test_torch__C__linalg_linalg_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4520817Z test_torch__C__linalg_linalg_eig (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4521153Z test_torch__C__linalg_linalg_eigh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4521490Z test_torch__C__linalg_linalg_eigvals (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4521831Z test_torch__C__linalg_linalg_eigvalsh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4522177Z test_torch__C__linalg_linalg_householder_product (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4522529Z test_torch__C__linalg_linalg_inv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4522860Z test_torch__C__linalg_linalg_inv_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4523188Z test_torch__C__linalg_linalg_ldl_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4523540Z test_torch__C__linalg_linalg_ldl_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4523884Z test_torch__C__linalg_linalg_ldl_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4524220Z test_torch__C__linalg_linalg_lstsq (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4524537Z test_torch__C__linalg_linalg_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4524993Z test_torch__C__linalg_linalg_lu_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4525341Z test_torch__C__linalg_linalg_lu_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4525673Z test_torch__C__linalg_linalg_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4526008Z test_torch__C__linalg_linalg_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4526354Z test_torch__C__linalg_linalg_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4526766Z test_torch__C__linalg_linalg_matrix_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4527104Z test_torch__C__linalg_linalg_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4527449Z test_torch__C__linalg_linalg_matrix_rank (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4527795Z test_torch__C__linalg_linalg_multi_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4528172Z test_torch__C__linalg_linalg_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4528491Z test_torch__C__linalg_linalg_pinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4528821Z test_torch__C__linalg_linalg_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4529162Z test_torch__C__linalg_linalg_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4529487Z test_torch__C__linalg_linalg_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4529823Z test_torch__C__linalg_linalg_solve_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4530171Z test_torch__C__linalg_linalg_solve_triangular (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4530514Z test_torch__C__linalg_linalg_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4530838Z test_torch__C__linalg_linalg_svdvals (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4531182Z test_torch__C__linalg_linalg_tensorinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4531523Z test_torch__C__linalg_linalg_tensorsolve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4531851Z test_torch__C__linalg_linalg_vander (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4532190Z test_torch__C__linalg_linalg_vecdot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4532535Z test_torch__C__linalg_linalg_vector_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4532867Z test_torch__C__nn_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4533180Z test_torch__C__nn_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4533493Z test_torch__C__nn_gelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4533807Z test_torch__C__nn_linear (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4534112Z test_torch__C__nn_log_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4534430Z test_torch__C__nn_one_hot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4534746Z test_torch__C__nn_softplus (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4535072Z test_torch__C__nn_softshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4535395Z test_torch__C__special_special_airy_ai (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4535744Z test_torch__C__special_special_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4536085Z test_torch__C__special_special_bessel_j1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4536422Z test_torch__C__special_special_bessel_y0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4536748Z test_torch__C__special_special_bessel_y1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4537114Z test_torch__C__special_special_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4537496Z test_torch__C__special_special_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4537857Z test_torch__C__special_special_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4538273Z test_torch__C__special_special_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4538647Z test_torch__C__special_special_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4538990Z test_torch__C__special_special_entr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4539317Z test_torch__C__special_special_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4539708Z test_torch__C__special_special_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4540048Z test_torch__C__special_special_erfcx (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4540392Z test_torch__C__special_special_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4540719Z test_torch__C__special_special_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4541066Z test_torch__C__special_special_expit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4541404Z test_torch__C__special_special_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4541734Z test_torch__C__special_special_gammainc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4542090Z test_torch__C__special_special_gammaincc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4542440Z test_torch__C__special_special_gammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4542803Z test_torch__C__special_special_hermite_polynomial_h (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4543171Z test_torch__C__special_special_hermite_polynomial_he (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4543529Z test_torch__C__special_special_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4543866Z test_torch__C__special_special_i0e (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4544187Z test_torch__C__special_special_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4544517Z test_torch__C__special_special_i1e (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4544876Z test_torch__C__special_special_laguerre_polynomial_l (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4545255Z test_torch__C__special_special_legendre_polynomial_p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4545597Z test_torch__C__special_special_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4545944Z test_torch__C__special_special_log_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4546296Z test_torch__C__special_special_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4546644Z test_torch__C__special_special_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4546973Z test_torch__C__special_special_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4547333Z test_torch__C__special_special_modified_bessel_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4547700Z test_torch__C__special_special_modified_bessel_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4548053Z test_torch__C__special_special_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4548417Z test_torch__C__special_special_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4548777Z test_torch__C__special_special_multigammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4549128Z test_torch__C__special_special_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4549493Z test_torch__C__special_special_ndtri (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4549839Z test_torch__C__special_special_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4550184Z test_torch__C__special_special_psi (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4550521Z test_torch__C__special_special_round (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4550868Z test_torch__C__special_special_scaled_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4551288Z test_torch__C__special_special_scaled_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4551679Z test_torch__C__special_special_shifted_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4552064Z test_torch__C__special_special_shifted_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4552463Z test_torch__C__special_special_shifted_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4552864Z test_torch__C__special_special_shifted_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4553226Z test_torch__C__special_special_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4553557Z test_torch__C__special_special_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4553917Z test_torch__C__special_special_spherical_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4554272Z test_torch__C__special_special_xlog1py (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4554615Z test_torch__C__special_special_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4554940Z test_torch__C__special_special_zeta (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4555267Z test_torch__assert_async (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4555583Z test_torch__conj_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4555884Z test_torch__fw_primal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4556204Z test_torch__indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4556521Z test_torch__lobpcg_lobpcg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4556851Z test_torch__lowrank_pca_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4557170Z test_torch__lowrank_svd_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4557494Z test_torch__make_dual_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4557814Z test_torch__neg_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4558128Z test_torch__reshape_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4558454Z test_torch__rowwise_prune (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4558879Z test_torch__sparse_broadcast_to_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4559207Z test_torch__values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4559501Z test_torch_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4559805Z test_torch_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4560108Z test_torch_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4560395Z test_torch_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4560713Z test_torch_adaptive_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4561085Z test_torch_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4561396Z test_torch_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4561685Z test_torch_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4561992Z test_torch_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4562296Z test_torch_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4562587Z test_torch_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4562924Z test_torch_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4563226Z test_torch_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4563530Z test_torch_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4563843Z test_torch_affine_grid_generator (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4564173Z test_torch_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4564477Z test_torch_all (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4564903Z test_torch_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4565268Z test_torch_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4565578Z test_torch_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4565881Z test_torch_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4566167Z test_torch_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4566470Z test_torch_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4566771Z test_torch_any (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4567058Z test_torch_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4567364Z test_torch_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4567670Z test_torch_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4567958Z test_torch_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4568258Z test_torch_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4568560Z test_torch_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4568862Z test_torch_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4569148Z test_torch_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4569447Z test_torch_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4569748Z test_torch_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4570039Z test_torch_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4570358Z test_torch_as_strided_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4570685Z test_torch_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4570998Z test_torch_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4571283Z test_torch_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4571581Z test_torch_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4571875Z test_torch_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4572161Z test_torch_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4572467Z test_torch_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4572775Z test_torch_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4573084Z test_torch_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4573463Z test_torch_batch_norm_backward_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4573809Z test_torch_batch_norm_backward_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4574143Z test_torch_batch_norm_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4574460Z test_torch_batch_norm_gather_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4574813Z test_torch_batch_norm_gather_stats_with_counts (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4575204Z test_torch_batch_norm_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4575535Z test_torch_batch_norm_update_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4575844Z test_torch_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4576151Z test_torch_bilinear (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4576490Z test_torch_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4576807Z test_torch_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4577153Z test_torch_binomial (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4577464Z test_torch_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4577787Z test_torch_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4578098Z test_torch_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4578411Z test_torch_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4578736Z test_torch_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4579043Z test_torch_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4579348Z test_torch_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4579657Z test_torch_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4579968Z test_torch_bucketize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4580254Z test_torch_cat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4580571Z test_torch_ccol_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4580886Z test_torch_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4581169Z test_torch_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4581480Z test_torch_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4581794Z test_torch_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4582111Z test_torch_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4582423Z test_torch_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4582754Z test_torch_choose_qparams_optimized (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4583114Z test_torch_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4583401Z test_torch_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4583705Z test_torch_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4584012Z test_torch_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4584314Z test_torch_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4584600Z test_torch_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4584915Z test_torch_col_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4585233Z test_torch_column_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4585573Z test_torch_combinations (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4585882Z test_torch_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4586185Z test_torch_concat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4586494Z test_torch_concatenate (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4586786Z test_torch_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4587129Z test_torch_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4587452Z test_torch_constant_pad_nd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4587757Z test_torch_conv1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4588063Z test_torch_conv2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4588366Z test_torch_conv3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4588659Z test_torch_conv_tbc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4588976Z test_torch_conv_transpose1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4589303Z test_torch_conv_transpose2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4589627Z test_torch_conv_transpose3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4589934Z test_torch_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4590246Z test_torch_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4590551Z test_torch_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4590838Z test_torch_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4591136Z test_torch_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4591459Z test_torch_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4591793Z test_torch_cosine_similarity (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4592102Z test_torch_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4592409Z test_torch_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4592707Z test_torch_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4593009Z test_torch_crow_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4593325Z test_torch_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4593629Z test_torch_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4593931Z test_torch_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4594224Z test_torch_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4594529Z test_torch_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4594851Z test_torch_cumulative_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4595159Z test_torch_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4595468Z test_torch_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4595773Z test_torch_det (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4596076Z test_torch_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4596372Z test_torch_detach_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4596680Z test_torch_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4596985Z test_torch_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4597281Z test_torch_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4597628Z test_torch_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4597945Z test_torch_diagonal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4598271Z test_torch_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4598658Z test_torch_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4599009Z test_torch_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4599310Z test_torch_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4599593Z test_torch_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4599891Z test_torch_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4600192Z test_torch_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4600483Z test_torch_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4600787Z test_torch_dsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4601089Z test_torch_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4601392Z test_torch_dstack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4601688Z test_torch_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4602013Z test_torch_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4602328Z test_torch_empty_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4602617Z test_torch_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4602917Z test_torch_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4603212Z test_torch_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4603506Z test_torch_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4603795Z test_torch_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4604095Z test_torch_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4604393Z test_torch_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4604689Z test_torch_expand_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4605174Z test_torch_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4605514Z test_torch_fake_quantize_per_channel_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4605873Z test_torch_fake_quantize_per_tensor_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4606210Z test_torch_fbgemm_linear_fp16_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4606574Z test_torch_fbgemm_linear_fp16_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4606937Z test_torch_fbgemm_linear_int8_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4607284Z test_torch_fbgemm_linear_int8_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4607645Z test_torch_fbgemm_linear_quantize_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4607998Z test_torch_fbgemm_pack_gemm_matrix_fp16 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4608349Z test_torch_fbgemm_pack_quantized_matrix (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4608682Z test_torch_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4609011Z test_torch_feature_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4609320Z test_torch_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4609673Z test_torch_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4609980Z test_torch_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4610286Z test_torch_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4610588Z test_torch_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4610886Z test_torch_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4611235Z test_torch_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4611542Z test_torch_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4611835Z test_torch_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4612130Z test_torch_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4612422Z test_torch_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4612720Z test_torch_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4613005Z test_torch_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4613315Z test_torch_frobenius_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4613627Z test_torch_full_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4613784Z test_torch_functional_atleast_1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4613932Z test_torch_functional_atleast_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4614084Z test_torch_functional_atleast_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4614239Z test_torch_functional_block_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4614406Z test_torch_functional_broadcast_tensors (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4614573Z test_torch_functional_cartesian_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4614726Z test_torch_functional_cdist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4614884Z test_torch_functional_chain_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615036Z test_torch_functional_einsum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615171Z test_torch_functional_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615329Z test_torch_functional_meshgrid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615480Z test_torch_functional_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615631Z test_torch_functional_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615780Z test_torch_functional_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4615941Z test_torch_functional_tensordot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616094Z test_torch_functional_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616263Z test_torch_functional_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616429Z test_torch_fused_moving_avg_obs_fake_quant (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616558Z test_torch_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616698Z test_torch_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616836Z test_torch_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4616976Z test_torch_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4617109Z test_torch_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4617253Z test_torch_gradient (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4617426Z test_torch_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4617574Z test_torch_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4617708Z test_torch_grid_sampler (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4617857Z test_torch_grid_sampler_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618002Z test_torch_grid_sampler_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618193Z test_torch_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618330Z test_torch_gru (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618470Z test_torch_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618605Z test_torch_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618753Z test_torch_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4618886Z test_torch_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619041Z test_torch_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619178Z test_torch_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619321Z test_torch_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619472Z test_torch_histogramdd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619608Z test_torch_hsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619747Z test_torch_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4619884Z test_torch_hstack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620010Z test_torch_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620148Z test_torch_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620290Z test_torch_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620432Z test_torch_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620569Z test_torch_imag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620709Z test_torch_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4620856Z test_torch_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621000Z test_torch_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621130Z test_torch_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621277Z test_torch_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621420Z test_torch_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621563Z test_torch_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621703Z test_torch_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621849Z test_torch_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4621990Z test_torch_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4622128Z test_torch_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4622262Z test_torch_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4622400Z test_torch_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4622551Z test_torch_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4622705Z test_torch_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4622852Z test_torch_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623019Z test_torch_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623161Z test_torch_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623305Z test_torch_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623433Z test_torch_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623572Z test_torch_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623781Z test_torch_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4623919Z test_torch_isin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624058Z test_torch_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624195Z test_torch_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624339Z test_torch_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624480Z test_torch_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624610Z test_torch_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624746Z test_torch_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4624885Z test_torch_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625022Z test_torch_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625167Z test_torch_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625312Z test_torch_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625449Z test_torch_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625574Z test_torch_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625710Z test_torch_le (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625848Z test_torch_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4625985Z test_torch_less (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626129Z test_torch_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626268Z test_torch_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626404Z test_torch_log (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626542Z test_torch_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626666Z test_torch_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626802Z test_torch_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4626948Z test_torch_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627093Z test_torch_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627244Z test_torch_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627393Z test_torch_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627532Z test_torch_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627677Z test_torch_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627807Z test_torch_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4627954Z test_torch_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628098Z test_torch_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628237Z test_torch_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628380Z test_torch_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628549Z test_torch_lstm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628691Z test_torch_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628826Z test_torch_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4628953Z test_torch_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4629093Z test_torch_lu_unpack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4629279Z test_torch_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4629423Z test_torch_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4629573Z test_torch_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4629721Z test_torch_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4629859Z test_torch_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630005Z test_torch_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630140Z test_torch_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630275Z test_torch_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630417Z test_torch_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630576Z test_torch_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630722Z test_torch_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4630861Z test_torch_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631002Z test_torch_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631138Z test_torch_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631263Z test_torch_median (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631401Z test_torch_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631541Z test_torch_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631696Z test_torch_miopen_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4631854Z test_torch_miopen_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632020Z test_torch_miopen_convolution_add_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632197Z test_torch_miopen_convolution_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632365Z test_torch_miopen_convolution_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632529Z test_torch_miopen_depthwise_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632664Z test_torch_miopen_rnn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632804Z test_torch_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4632947Z test_torch_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633090Z test_torch_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633228Z test_torch_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633362Z test_torch_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633512Z test_torch_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633654Z test_torch_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633777Z test_torch_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4633919Z test_torch_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634064Z test_torch_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634240Z test_torch_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634385Z test_torch_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634531Z test_torch_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634672Z test_torch_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634799Z test_torch_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4634972Z test_torch_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4635127Z test_torch_native_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4635287Z test_torch_native_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4635437Z test_torch_native_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4635593Z test_torch_native_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4635745Z test_torch_native_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4635887Z test_torch_native_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636021Z test_torch_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636143Z test_torch_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636287Z test_torch_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636433Z test_torch_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636595Z test_torch_nn_functional__threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636771Z test_torch_nn_functional_adaptive_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4636948Z test_torch_nn_functional_adaptive_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4637121Z test_torch_nn_functional_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4637312Z test_torch_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4637470Z test_torch_nn_functional_adaptive_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4637658Z test_torch_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4637829Z test_torch_nn_functional_adaptive_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4638017Z test_torch_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4638178Z test_torch_nn_functional_affine_grid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4638347Z test_torch_nn_functional_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4638509Z test_torch_nn_functional_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4638767Z test_torch_nn_functional_binary_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4638956Z test_torch_nn_functional_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4639099Z test_torch_nn_functional_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4639274Z test_torch_nn_functional_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4639438Z test_torch_nn_functional_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4639596Z test_torch_nn_functional_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4639792Z test_torch_nn_functional_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4639954Z test_torch_nn_functional_dropout1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4640112Z test_torch_nn_functional_dropout2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4640271Z test_torch_nn_functional_dropout3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4640410Z test_torch_nn_functional_elu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4640597Z test_torch_nn_functional_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4640759Z test_torch_nn_functional_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4640935Z test_torch_nn_functional_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4641091Z test_torch_nn_functional_fold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4641268Z test_torch_nn_functional_fractional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4641461Z test_torch_nn_functional_fractional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4641632Z test_torch_nn_functional_fractional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4641819Z test_torch_nn_functional_fractional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4641975Z test_torch_nn_functional_gaussian_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4642127Z test_torch_nn_functional_glu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4642289Z test_torch_nn_functional_grid_sample (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4642447Z test_torch_nn_functional_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4642615Z test_torch_nn_functional_gumbel_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4642774Z test_torch_nn_functional_hardtanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4642946Z test_torch_nn_functional_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4643114Z test_torch_nn_functional_huber_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4643279Z test_torch_nn_functional_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4643430Z test_torch_nn_functional_interpolate (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4643586Z test_torch_nn_functional_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4643740Z test_torch_nn_functional_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4643916Z test_torch_nn_functional_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4644076Z test_torch_nn_functional_leaky_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4644247Z test_torch_nn_functional_local_response_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4644406Z test_torch_nn_functional_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4644564Z test_torch_nn_functional_lp_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4644709Z test_torch_nn_functional_lp_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4644993Z test_torch_nn_functional_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4645152Z test_torch_nn_functional_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4645327Z test_torch_nn_functional_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4645544Z test_torch_nn_functional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4645721Z test_torch_nn_functional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4645881Z test_torch_nn_functional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4646056Z test_torch_nn_functional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4646259Z test_torch_nn_functional_max_unpool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4646409Z test_torch_nn_functional_max_unpool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4646573Z test_torch_nn_functional_max_unpool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4646727Z test_torch_nn_functional_mish (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4646886Z test_torch_nn_functional_mse_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4647068Z test_torch_nn_functional_multi_head_attention_forward (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4647238Z test_torch_nn_functional_multi_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4647412Z test_torch_nn_functional_multilabel_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4647593Z test_torch_nn_functional_multilabel_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4647748Z test_torch_nn_functional_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4647895Z test_torch_nn_functional_normalize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648050Z test_torch_nn_functional_pad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648222Z test_torch_nn_functional_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648375Z test_torch_nn_functional_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648530Z test_torch_nn_functional_relu6 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648683Z test_torch_nn_functional_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648833Z test_torch_nn_functional_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4648987Z test_torch_nn_functional_silu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4649137Z test_torch_nn_functional_smooth_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4649304Z test_torch_nn_functional_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4649460Z test_torch_nn_functional_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4649617Z test_torch_nn_functional_softmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4649773Z test_torch_nn_functional_softsign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4649932Z test_torch_nn_functional_tanhshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4650105Z test_torch_nn_functional_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4650292Z test_torch_nn_functional_triplet_margin_with_distance_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4650446Z test_torch_nn_functional_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4650585Z test_torch_nn_init_constant_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4650742Z test_torch_nn_init_kaiming_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4650927Z test_torch_nn_init_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651079Z test_torch_nn_init_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651220Z test_torch_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651370Z test_torch_norm_except_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651512Z test_torch_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651688Z test_torch_nuclear_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651814Z test_torch_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4651956Z test_torch_ones_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652095Z test_torch_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652229Z test_torch_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652365Z test_torch_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652523Z test_torch_pairwise_distance (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652656Z test_torch_pdist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652798Z test_torch_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4652933Z test_torch_permute_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653079Z test_torch_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653228Z test_torch_pixel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653379Z test_torch_pixel_unshuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653519Z test_torch_poisson (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653669Z test_torch_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653808Z test_torch_polar (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4653950Z test_torch_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654080Z test_torch_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654216Z test_torch_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654355Z test_torch_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654495Z test_torch_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654630Z test_torch_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654783Z test_torch_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4654939Z test_torch_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655102Z test_torch_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655229Z test_torch_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655374Z test_torch_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655508Z test_torch_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655651Z test_torch_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655808Z test_torch_quantize_per_channel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4655962Z test_torch_quantize_per_tensor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4656126Z test_torch_quantize_per_tensor_dynamic (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4656282Z test_torch_quantized_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4656422Z test_torch_quantized_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4656607Z test_torch_quantized_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4656762Z test_torch_quantized_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4656916Z test_torch_quantized_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657074Z test_torch_quantized_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657283Z test_torch_quantized_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657423Z test_torch_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657563Z test_torch_rand_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657697Z test_torch_randint_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657841Z test_torch_randn_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4657980Z test_torch_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658118Z test_torch_real (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658266Z test_torch_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658403Z test_torch_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658547Z test_torch_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658688Z test_torch_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658829Z test_torch_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4658971Z test_torch_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659115Z test_torch_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659261Z test_torch_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659404Z test_torch_rnn_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659552Z test_torch_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659694Z test_torch_rnn_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659843Z test_torch_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4659969Z test_torch_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660104Z test_torch_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660240Z test_torch_round (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660389Z test_torch_row_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660530Z test_torch_row_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660667Z test_torch_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660800Z test_torch_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4660935Z test_torch_rsub (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661061Z test_torch_saddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661199Z test_torch_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661348Z test_torch_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661498Z test_torch_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661646Z test_torch_searchsorted (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661798Z test_torch_segment_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4661935Z test_torch_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662112Z test_torch_select_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662248Z test_torch_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662384Z test_torch_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662519Z test_torch_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662660Z test_torch_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662830Z test_torch_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4662968Z test_torch_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663103Z test_torch_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663238Z test_torch_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663358Z test_torch_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663507Z test_torch_slice_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663656Z test_torch_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663795Z test_torch_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4663930Z test_torch_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664127Z test_torch_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664263Z test_torch_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664409Z test_torch_split_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664547Z test_torch_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664700Z test_torch_split_with_sizes_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664835Z test_torch_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4664977Z test_torch_square (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665118Z test_torch_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665264Z test_torch_squeeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665402Z test_torch_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665536Z test_torch_std (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665666Z test_torch_std_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665799Z test_torch_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4665939Z test_torch_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666070Z test_torch_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666205Z test_torch_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666350Z test_torch_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666494Z test_torch_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666635Z test_torch_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666755Z test_torch_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4666891Z test_torch_t_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667028Z test_torch_take (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667176Z test_torch_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667310Z test_torch_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667444Z test_torch_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667590Z test_torch_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667762Z test_torch_threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4667888Z test_torch_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668026Z test_torch_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668163Z test_torch_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668305Z test_torch_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668490Z test_torch_transpose_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668634Z test_torch_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668772Z test_torch_trapz (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4668926Z test_torch_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669046Z test_torch_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669205Z test_torch_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669342Z test_torch_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669488Z test_torch_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669624Z test_torch_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669762Z test_torch_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4669910Z test_torch_unbind_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670051Z test_torch_unflatten (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670182Z test_torch_unfold_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670328Z test_torch_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670472Z test_torch_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670630Z test_torch_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670771Z test_torch_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4670919Z test_torch_unsqueeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671065Z test_torch_values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671203Z test_torch_var (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671332Z test_torch_var_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671467Z test_torch_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671615Z test_torch_view_as_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671769Z test_torch_view_as_complex_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4671915Z test_torch_view_as_real (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672066Z test_torch_view_as_real_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672206Z test_torch_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672346Z test_torch_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672472Z test_torch_vstack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672611Z test_torch_where (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672749Z test_torch_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4672892Z test_torch_zeros_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T01:54:16.4673041Z test_user_implementation_raises (__main__.TestTorchFunctionOverride) 2022-11-23T01:54:16.4673198Z Test that errors raised in user implementations propagate correctly ... ok (0.001s) 2022-11-23T01:54:16.4673387Z test_warn_on_invalid_torch_function (__main__.TestTorchFunctionWarning) ... ok (0.009s) 2022-11-23T01:54:16.4673527Z test_wrap_torch_function (__main__.TestWrapTorchFunction) ... ok (0.001s) 2022-11-23T01:54:16.4673540Z 2022-11-23T01:54:16.4673832Z ---------------------------------------------------------------------- 2022-11-23T01:54:16.4673912Z Ran 1415 tests in 1.343s 2022-11-23T01:54:16.4673917Z 2022-11-23T01:54:16.4674010Z OK 2022-11-23T01:54:16.4674016Z 2022-11-23T01:54:16.4674103Z Generating XML reports... 2022-11-23T01:54:16.4674445Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123015414.xml 2022-11-23T01:54:16.4674767Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123015414.xml 2022-11-23T01:54:16.4675061Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123015414.xml 2022-11-23T01:54:16.4675362Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123015414.xml 2022-11-23T01:54:16.4675667Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123015414.xml 2022-11-23T01:54:16.4675925Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123015414.xml 2022-11-23T01:54:16.4676191Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123015414.xml 2022-11-23T01:54:16.4676467Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123015414.xml 2022-11-23T01:54:16.4676731Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123015414.xml 2022-11-23T01:54:16.4676984Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123015414.xml 2022-11-23T01:54:16.4677254Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123015414.xml 2022-11-23T01:54:16.4694971Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123015414.xml 2022-11-23T01:54:16.4695464Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123015414.xml 2022-11-23T01:54:16.4695785Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123015414.xml 2022-11-23T01:54:16.4696098Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123015414.xml 2022-11-23T01:54:16.4696106Z 2022-11-23T01:54:16.4696465Z ##[endgroup] 2022-11-23T01:54:16.4696748Z FINISHED PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_acd8lg74) 2022-11-23T01:54:16.4696754Z 2022-11-23T01:54:16.4696895Z Running test_prims ... [2022-11-23 01:54:16.429340] 2022-11-23T01:54:16.4697224Z Executing ['/opt/conda/bin/python', '-bb', 'test_prims.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:16.429564] 2022-11-23T01:54:19.1102788Z 2022-11-23T01:54:19.1103310Z Expand the folded group to see the log file of test_prims 2022-11-23T01:54:19.1104294Z ##[group]PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_c0vxuky_) 2022-11-23T01:54:19.1104640Z 2022-11-23T01:54:19.1104800Z Running tests... 2022-11-23T01:54:19.1105482Z ---------------------------------------------------------------------- 2022-11-23T01:54:19.1106180Z Test results will be stored in test-reports/python-unittest/test_prims 2022-11-23T01:54:19.1106701Z test_mul_complex (__main__.TestPrimsBasic) ... ok (0.002s) 2022-11-23T01:54:19.1107181Z test_torch_ops (__main__.TestPrimsBasic) ... ok (0.003s) 2022-11-23T01:54:19.1107447Z 2022-11-23T01:54:19.1107794Z ---------------------------------------------------------------------- 2022-11-23T01:54:19.1108229Z Ran 2 tests in 0.004s 2022-11-23T01:54:19.1108423Z 2022-11-23T01:54:19.1108519Z OK 2022-11-23T01:54:19.1108815Z 2022-11-23T01:54:19.1108951Z Generating XML reports... 2022-11-23T01:54:19.1109378Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestPrimsBasic-20221123015418.xml 2022-11-23T01:54:19.1109593Z 2022-11-23T01:54:19.1109832Z ##[endgroup] 2022-11-23T01:54:19.1110200Z FINISHED PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_c0vxuky_) 2022-11-23T01:54:19.1110406Z 2022-11-23T01:54:19.1110656Z Running test_reductions ... [2022-11-23 01:54:19.110352] 2022-11-23T01:54:19.1111111Z Executing ['/opt/conda/bin/python', '-bb', 'test_reductions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:19.110629] 2022-11-23T01:54:21.7848328Z 2022-11-23T01:54:21.7848836Z Expand the folded group to see the log file of test_reductions 2022-11-23T01:54:21.7849902Z ##[group]PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_9vbvoewp) 2022-11-23T01:54:21.7850217Z 2022-11-23T01:54:21.7850308Z Running tests... 2022-11-23T01:54:21.7850749Z ---------------------------------------------------------------------- 2022-11-23T01:54:21.7850925Z 2022-11-23T01:54:21.7851122Z ---------------------------------------------------------------------- 2022-11-23T01:54:21.7851394Z Ran 0 tests in 0.000s 2022-11-23T01:54:21.7851509Z 2022-11-23T01:54:21.7851572Z OK 2022-11-23T01:54:21.7851665Z 2022-11-23T01:54:21.7851750Z Generating XML reports... 2022-11-23T01:54:21.7852073Z Test results will be stored in test-reports/python-unittest/test_reductions 2022-11-23T01:54:21.7852252Z 2022-11-23T01:54:21.7852541Z ##[endgroup] 2022-11-23T01:54:21.7852990Z FINISHED PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_9vbvoewp) 2022-11-23T01:54:21.7853290Z 2022-11-23T01:54:21.7853461Z Running test_show_pickle ... [2022-11-23 01:54:21.784961] 2022-11-23T01:54:21.7853942Z Executing ['/opt/conda/bin/python', '-bb', 'test_show_pickle.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:21.785194] 2022-11-23T01:54:23.7867280Z 2022-11-23T01:54:23.7867842Z Expand the folded group to see the log file of test_show_pickle 2022-11-23T01:54:23.7868896Z ##[group]PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_rjj3xfa8) 2022-11-23T01:54:23.7869332Z 2022-11-23T01:54:23.7869436Z Running tests... 2022-11-23T01:54:23.7869928Z ---------------------------------------------------------------------- 2022-11-23T01:54:23.7870331Z Test results will be stored in test-reports/python-unittest/test_show_pickle 2022-11-23T01:54:23.7870641Z test_scripted_model (__main__.TestShowPickle) ... ok (0.253s) 2022-11-23T01:54:23.7870799Z 2022-11-23T01:54:23.7870980Z ---------------------------------------------------------------------- 2022-11-23T01:54:23.7871224Z Ran 1 test in 0.253s 2022-11-23T01:54:23.7871337Z 2022-11-23T01:54:23.7871398Z OK 2022-11-23T01:54:23.7871489Z 2022-11-23T01:54:23.7871572Z Generating XML reports... 2022-11-23T01:54:23.7872104Z Generated XML report: test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123015423.xml 2022-11-23T01:54:23.7872368Z 2022-11-23T01:54:23.7872602Z ##[endgroup] 2022-11-23T01:54:23.7872994Z FINISHED PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_rjj3xfa8) 2022-11-23T01:54:23.7873197Z 2022-11-23T01:54:23.7873369Z Running test_sparse_csr ... [2022-11-23 01:54:23.786804] 2022-11-23T01:54:23.7873839Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse_csr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:23.787116] 2022-11-23T01:54:26.9145637Z 2022-11-23T01:54:26.9146420Z Expand the folded group to see the log file of test_sparse_csr 2022-11-23T01:54:26.9148023Z ##[group]PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_h8lqjo7j) 2022-11-23T01:54:26.9148420Z 2022-11-23T01:54:26.9148498Z Running tests... 2022-11-23T01:54:26.9149174Z ---------------------------------------------------------------------- 2022-11-23T01:54:26.9149613Z Test results will be stored in test-reports/python-unittest/test_sparse_csr 2022-11-23T01:54:26.9150032Z test_make_crow_indices (__main__.TestSparseCSRSampler) ... ok (0.401s) 2022-11-23T01:54:26.9150242Z 2022-11-23T01:54:26.9150441Z ---------------------------------------------------------------------- 2022-11-23T01:54:26.9150755Z Ran 1 test in 0.402s 2022-11-23T01:54:26.9150870Z 2022-11-23T01:54:26.9150933Z OK 2022-11-23T01:54:26.9151026Z 2022-11-23T01:54:26.9151111Z Generating XML reports... 2022-11-23T01:54:26.9151553Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20221123015425.xml 2022-11-23T01:54:26.9151799Z 2022-11-23T01:54:26.9152019Z ##[endgroup] 2022-11-23T01:54:26.9152405Z FINISHED PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_h8lqjo7j) 2022-11-23T01:54:26.9152620Z 2022-11-23T01:54:26.9152804Z Running test_tensor_creation_ops ... [2022-11-23 01:54:26.914570] 2022-11-23T01:54:26.9153296Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensor_creation_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:26.914849] 2022-11-23T01:54:28.9276343Z 2022-11-23T01:54:28.9276901Z Expand the folded group to see the log file of test_tensor_creation_ops 2022-11-23T01:54:28.9277747Z ##[group]PRINTING LOG FILE of test_tensor_creation_ops (/var/lib/jenkins/workspace/test/test-reports/test_tensor_creation_ops_bkum67m3) 2022-11-23T01:54:28.9278048Z 2022-11-23T01:54:28.9278167Z Running tests... 2022-11-23T01:54:28.9278741Z ---------------------------------------------------------------------- 2022-11-23T01:54:28.9279024Z 2022-11-23T01:54:28.9279250Z ---------------------------------------------------------------------- 2022-11-23T01:54:28.9279476Z Ran 0 tests in 0.000s 2022-11-23T01:54:28.9279591Z 2022-11-23T01:54:28.9279655Z OK 2022-11-23T01:54:28.9279777Z 2022-11-23T01:54:28.9279873Z Generating XML reports... 2022-11-23T01:54:28.9280208Z Test results will be stored in test-reports/python-unittest/test_tensor_creation_ops 2022-11-23T01:54:28.9280447Z 2022-11-23T01:54:28.9280711Z ##[endgroup] 2022-11-23T01:54:28.9281138Z FINISHED PRINTING LOG FILE of test_tensor_creation_ops (/var/lib/jenkins/workspace/test/test-reports/test_tensor_creation_ops_bkum67m3) 2022-11-23T01:54:28.9281371Z 2022-11-23T01:54:28.9281541Z Running test_tensorexpr ... [2022-11-23 01:54:28.927722] 2022-11-23T01:54:28.9282017Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:28.927947] 2022-11-23T01:55:16.3676621Z 2022-11-23T01:55:16.3677026Z Expand the folded group to see the log file of test_tensorexpr 2022-11-23T01:55:16.3677712Z ##[group]PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_kj70pi_8) 2022-11-23T01:55:16.3677957Z 2022-11-23T01:55:16.3678048Z Running tests... 2022-11-23T01:55:16.3678658Z ---------------------------------------------------------------------- 2022-11-23T01:55:16.3679261Z Test results will be stored in test-reports/python-unittest/test_tensorexpr 2022-11-23T01:55:16.3679820Z test_add_const_rhs (__main__.TestTensorExprFuser) ... ok (0.285s) 2022-11-23T01:55:16.3680451Z test_add_sub (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T01:55:16.3680840Z test_alias_analysis_input_and_module (__main__.TestTensorExprFuser) ... ok (0.046s) 2022-11-23T01:55:16.3681165Z test_alias_analysis_inputs (__main__.TestTensorExprFuser) ... ok (0.009s) 2022-11-23T01:55:16.3681496Z test_alias_analysis_module (__main__.TestTensorExprFuser) ... ok (0.130s) 2022-11-23T01:55:16.3681810Z test_all_combos (__main__.TestTensorExprFuser) ... ok (0.040s) 2022-11-23T01:55:16.3687072Z test_alpha (__main__.TestTensorExprFuser) ... ok (0.026s) 2022-11-23T01:55:16.3687588Z test_binary_ops (__main__.TestTensorExprFuser) ... ok (1.513s) 2022-11-23T01:55:16.3688311Z test_bitwise_ops (__main__.TestTensorExprFuser) ... ok (0.169s) 2022-11-23T01:55:16.3688650Z test_broadcast (__main__.TestTensorExprFuser) ... ok (0.041s) 2022-11-23T01:55:16.3688955Z test_broadcast3 (__main__.TestTensorExprFuser) ... ok (0.150s) 2022-11-23T01:55:16.3689381Z test_broadcast_2 (__main__.TestTensorExprFuser) ... ok (0.035s) 2022-11-23T01:55:16.3689856Z test_broadcast_big2 (__main__.TestTensorExprFuser) ... ok (0.048s) 2022-11-23T01:55:16.3690478Z test_cat (__main__.TestTensorExprFuser) ... ok (3.382s) 2022-11-23T01:55:16.3690780Z test_cat_empty_tensors (__main__.TestTensorExprFuser) ... ok (0.122s) 2022-11-23T01:55:16.3691065Z test_cat_negative_dim (__main__.TestTensorExprFuser) ... ok (0.072s) 2022-11-23T01:55:16.3691409Z test_cat_only (__main__.TestTensorExprFuser) ... skip: cat is broken with fusion group inlining disabled (0.001s) 2022-11-23T01:55:16.3691751Z test_cat_promote_inputs (__main__.TestTensorExprFuser) ... ok (0.133s) 2022-11-23T01:55:16.3692055Z test_cat_with_constant_dim (__main__.TestTensorExprFuser) ... ok (0.048s) 2022-11-23T01:55:16.3760636Z test_char (__main__.TestTensorExprFuser) ... ok (0.029s) 2022-11-23T01:55:16.3761148Z test_chunk (__main__.TestTensorExprFuser) ... ok (0.210s) 2022-11-23T01:55:16.3761656Z test_clamp (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T01:55:16.3762113Z test_constant (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T01:55:16.3762382Z test_double (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T01:55:16.3762725Z test_double_intrinsics (__main__.TestTensorExprFuser) ... ok (0.034s) 2022-11-23T01:55:16.3763327Z test_dynamic_shape (__main__.TestTensorExprFuser) ... skip: dynamic shapes are not quite there yet (0.001s) 2022-11-23T01:55:16.3763830Z test_easy (__main__.TestTensorExprFuser) ... ok (0.039s) 2022-11-23T01:55:16.3764252Z test_eq (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3764918Z test_exp_pow (__main__.TestTensorExprFuser) ... ok (0.062s) 2022-11-23T01:55:16.3765393Z test_four_arg (__main__.TestTensorExprFuser) ... ok (0.040s) 2022-11-23T01:55:16.3765831Z test_ge (__main__.TestTensorExprFuser) ... ok (0.067s) 2022-11-23T01:55:16.3766298Z test_gt (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3766886Z test_guard_fails (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.001s) 2022-11-23T01:55:16.3767432Z test_half_bn_relu (__main__.TestTensorExprFuser) ... ok (0.001s) 2022-11-23T01:55:16.3767928Z test_half_gelu (__main__.TestTensorExprFuser) ... ok (0.004s) 2022-11-23T01:55:16.3768437Z test_int64_promotion (__main__.TestTensorExprFuser) ... ok (0.029s) 2022-11-23T01:55:16.3768786Z test_int_output (__main__.TestTensorExprFuser) ... ok (0.029s) 2022-11-23T01:55:16.3769038Z test_le (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3769302Z test_loop (__main__.TestTensorExprFuser) ... ok (0.079s) 2022-11-23T01:55:16.3769611Z test_lt (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3769875Z test_mask (__main__.TestTensorExprFuser) ... ok (0.027s) 2022-11-23T01:55:16.3770127Z test_min_max (__main__.TestTensorExprFuser) ... ok (0.041s) 2022-11-23T01:55:16.3770412Z test_min_max_reduction (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T01:55:16.3770710Z test_min_max_reduction2 (__main__.TestTensorExprFuser) ... ok (0.027s) 2022-11-23T01:55:16.3771001Z test_min_max_reduction_dim1 (__main__.TestTensorExprFuser) ... ok (0.030s) 2022-11-23T01:55:16.3771307Z test_min_max_reduction_dim1_2 (__main__.TestTensorExprFuser) ... ok (0.043s) 2022-11-23T01:55:16.3771596Z test_multi_rand (__main__.TestTensorExprFuser) ... ok (0.054s) 2022-11-23T01:55:16.3771863Z test_multioutput (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T01:55:16.3772152Z test_multiple_outputs (__main__.TestTensorExprFuser) ... ok (0.186s) 2022-11-23T01:55:16.3772427Z test_nans (__main__.TestTensorExprFuser) ... ok (0.106s) 2022-11-23T01:55:16.3772865Z test_ne (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3773124Z test_promotion (__main__.TestTensorExprFuser) ... ok (0.035s) 2022-11-23T01:55:16.3773420Z test_propagated_mem_layout (__main__.TestTensorExprFuser) ... ok (32.056s) 2022-11-23T01:55:16.3773711Z test_rand_like (__main__.TestTensorExprFuser) ... ok (0.069s) 2022-11-23T01:55:16.3773972Z test_rank_two (__main__.TestTensorExprFuser) ... ok (0.046s) 2022-11-23T01:55:16.3774300Z test_relu (__main__.TestTensorExprFuser) ... ok (0.039s) 2022-11-23T01:55:16.3774570Z test_remainder (__main__.TestTensorExprFuser) ... ok (0.270s) 2022-11-23T01:55:16.3774838Z test_reps (__main__.TestTensorExprFuser) ... ok (0.044s) 2022-11-23T01:55:16.3775090Z test_scalar (__main__.TestTensorExprFuser) ... ok (0.112s) 2022-11-23T01:55:16.3775359Z test_short (__main__.TestTensorExprFuser) ... ok (0.029s) 2022-11-23T01:55:16.3775633Z test_simple_add (__main__.TestTensorExprFuser) ... ok (0.016s) 2022-11-23T01:55:16.3775896Z test_slice (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3776171Z test_sliced_stride (__main__.TestTensorExprFuser) ... ok (0.117s) 2022-11-23T01:55:16.3776455Z test_softmax_cpu (__main__.TestTensorExprFuser) ... ok (0.673s) 2022-11-23T01:55:16.3776743Z test_softmax_cuda (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.000s) 2022-11-23T01:55:16.3777067Z test_strided_output_preserved (__main__.TestTensorExprFuser) ... ok (0.115s) 2022-11-23T01:55:16.3777365Z test_three_arg (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T01:55:16.3777641Z test_three_arg2 (__main__.TestTensorExprFuser) ... ok (0.042s) 2022-11-23T01:55:16.3777901Z test_transpose (__main__.TestTensorExprFuser) ... ok (0.165s) 2022-11-23T01:55:16.3778174Z test_unary_ops (__main__.TestTensorExprFuser) ... ok (3.301s) 2022-11-23T01:55:16.3778446Z test_unsqueeze (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T01:55:16.3778702Z test_where (__main__.TestTensorExprFuser) ... ok (0.165s) 2022-11-23T01:55:16.3778854Z 2022-11-23T01:55:16.3779125Z ---------------------------------------------------------------------- 2022-11-23T01:55:16.3779371Z Ran 72 tests in 45.388s 2022-11-23T01:55:16.3779489Z 2022-11-23T01:55:16.3779548Z OK (skipped=4) 2022-11-23T01:55:16.3779656Z 2022-11-23T01:55:16.3779742Z Generating XML reports... 2022-11-23T01:55:16.3780180Z Generated XML report: test-reports/python-unittest/test_tensorexpr/TEST-TestTensorExprFuser-20221123015430.xml 2022-11-23T01:55:16.3780427Z 2022-11-23T01:55:16.3780791Z ##[endgroup] 2022-11-23T01:55:16.3781167Z FINISHED PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_kj70pi_8) 2022-11-23T01:55:16.3781385Z 2022-11-23T01:55:16.3781539Z Running test_torch ... [2022-11-23 01:55:16.367858] 2022-11-23T01:55:16.3781997Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:55:16.368155] 2022-11-23T01:55:20.2051882Z 2022-11-23T01:55:20.2052414Z Expand the folded group to see the log file of test_torch 2022-11-23T01:55:20.2053499Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_vm2x4hqe) 2022-11-23T01:55:20.2053875Z 2022-11-23T01:55:20.2054003Z Running tests... 2022-11-23T01:55:20.2054647Z ---------------------------------------------------------------------- 2022-11-23T01:55:20.2055328Z Test results will be stored in test-reports/python-unittest/test_torch 2022-11-23T01:55:20.2055873Z test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s) 2022-11-23T01:55:20.2056351Z test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.001s) 2022-11-23T01:55:20.2056858Z test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s) 2022-11-23T01:55:20.2057356Z test_RNGState (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2057819Z test_RNGStateAliasing (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2058518Z test_RNG_after_pickle (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2058872Z test_Size (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2059166Z test_Size_iter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2059490Z test_Size_scalar (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2062333Z test_add_meta_scalar (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2062772Z test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2063384Z test_apply (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2063805Z test_as_subclass (__main__.TestTorch) ... ok (0.004s) 2022-11-23T01:55:20.2064218Z test_assert_async (__main__.TestTorch) ... ok (0.019s) 2022-11-23T01:55:20.2064693Z test_backward_hooks_traverse (__main__.TestTorch) ... ok (0.069s) 2022-11-23T01:55:20.2065197Z test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2066588Z test_bmm_multithreaded (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2067848Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2069025Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2070149Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2071353Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2072472Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2073191Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2073884Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2074593Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2075248Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2075999Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2076605Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2077331Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2077992Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2079048Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2079933Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2080896Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2081790Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2082735Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2083458Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2084171Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2085327Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2086411Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2087415Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2088708Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2089811Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2091107Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:55:20.2092454Z torch.bmm(b1, b2, out=res2) 2022-11-23T01:55:20.2092838Z ok (0.640s) 2022-11-23T01:55:20.2093300Z test_boxMullerState (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2093936Z test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s) 2022-11-23T01:55:20.2094560Z test_cat_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2095089Z test_chunk_neg_dim (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2095611Z test_conj_neg_tolist (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2096137Z test_contains (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2096667Z test_copy_broadcast (__main__.TestTorch) ... ok (0.006s) 2022-11-23T01:55:20.2097201Z test_copy_dtypes (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2097890Z test_copy_float16 (__main__.TestTorch) ... ok (0.090s) 2022-11-23T01:55:20.2098422Z test_copy_many_to_one (__main__.TestTorch) ... ok (0.006s) 2022-11-23T01:55:20.2100022Z test_copy_transpose (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7647: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:55:20.2101094Z x = torch.arange(100 * 100).reshape(100, 100).to(dtype=torch.complex32).t() 2022-11-23T01:55:20.2101565Z ok (0.004s) 2022-11-23T01:55:20.2102326Z test_cuda_not_built (__main__.TestTorch) ... skip: CUDA is built, can't test CUDA not built error (0.001s) 2022-11-23T01:55:20.2102975Z test_cummax_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2103498Z test_cummin_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2104036Z test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2104587Z test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2105106Z test_cxx_flags (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2105747Z test_dead_weak_ref (__main__.TestTorch) ... [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T01:55:20.2106427Z [TORCH_VITAL] CUDA.used False 2022-11-23T01:55:20.2106941Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T01:55:20.2107439Z [TORCH_VITAL] CUDA.used False 2022-11-23T01:55:20.2107884Z [TORCH_VITAL] Dataloader.enabled True 2022-11-23T01:55:20.2108431Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T01:55:20.2108924Z [TORCH_VITAL] CUDA.used False 2022-11-23T01:55:20.2110444Z [W python_variable.cpp:318] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2022-11-23T01:55:20.2111514Z ok (0.004s) 2022-11-23T01:55:20.2111971Z test_deepcopy_gradient (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2112536Z test_deepcopy_parameter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2113071Z test_deterministic_flag (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2113582Z test_device (__main__.TestTorch) ... ok (0.020s) 2022-11-23T01:55:20.2114068Z test_dir (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2114599Z test_doc (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2115063Z test_doc_template (__main__.TestTorch) 2022-11-23T01:55:20.2115662Z Test that all public API doc strings use the same standard template for ... ok (0.019s) 2022-11-23T01:55:20.2116271Z test_dot_data_use (__main__.TestTorch) ... ok (0.012s) 2022-11-23T01:55:20.2116775Z test_dtype_is_signed (__main__.TestTorch) ... ok (0.004s) 2022-11-23T01:55:20.2118318Z test_element_size (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:55:20.2119395Z warnings.warn(message, UserWarning) 2022-11-23T01:55:20.2119787Z ok (0.003s) 2022-11-23T01:55:20.2120219Z test_empty_meta (__main__.TestTorch) ... ok (0.007s) 2022-11-23T01:55:20.2120756Z test_empty_storage_view (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2121278Z test_equal (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2121812Z test_error_msg_type_translation (__main__.TestTorch) ... ok (0.011s) 2022-11-23T01:55:20.2122381Z test_fill_diagonal (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2122922Z test_format_scalar_meta (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2123437Z test_from_buffer (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2123948Z test_from_file (__main__.TestTorch) ... ok (0.006s) 2022-11-23T01:55:20.2124477Z test_gather_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2125224Z test_generator_cpu (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2125780Z test_has_internal_overlap (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2126327Z test_has_storage (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2126837Z test_index_add (__main__.TestTorch) ... ok (0.017s) 2022-11-23T01:55:20.2127368Z test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2127923Z test_index_add_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2128477Z test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2129010Z test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2129561Z test_index_select_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2130139Z test_invalid_generator_raises (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2130687Z test_is_nonzero (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2131756Z test_is_same_size (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:5704: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:55:20.2132889Z nt1 = torch.nested.nested_tensor([torch.ones(2, 4), torch.ones(3, 4), torch.ones(5, 4)]) 2022-11-23T01:55:20.2133399Z ok (0.006s) 2022-11-23T01:55:20.2133799Z test_iter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2134314Z test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2134874Z test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2135397Z test_manual_seed (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2135895Z test_map (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2136503Z test_map2 (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2137002Z test_max_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2137492Z test_mean_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2138016Z test_median_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2138538Z test_memory_format (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2139178Z test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2139927Z test_memory_format_empty (__main__.TestTorch) ... ok (0.010s) 2022-11-23T01:55:20.2140461Z test_min_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2140961Z test_mode_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2141675Z test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:55:20.2142371Z test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2142917Z test_narrow_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2143392Z test_ndim (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2143864Z test_new (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2144404Z test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.004s) 2022-11-23T01:55:20.2144935Z test_newindex (__main__.TestTorch) ... ok (0.007s) 2022-11-23T01:55:20.2145454Z test_norm_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2145973Z test_normal_shape (__main__.TestTorch) ... ok (0.027s) 2022-11-23T01:55:20.2146459Z test_numel (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2146964Z test_parallel_info (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2147500Z test_parsing_double (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2148025Z test_parsing_int64 (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2149185Z test_parsing_intlist (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:6185: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. 2022-11-23T01:55:20.2150756Z Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations 2022-11-23T01:55:20.2151560Z self.assertRaises(TypeError, lambda: torch.ones((np.float(3.), torch.tensor(4)))) 2022-11-23T01:55:20.2152079Z ok (0.003s) 2022-11-23T01:55:20.2152486Z test_permute (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2152987Z test_pickle (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2153503Z test_pickle_dtype (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2154024Z test_pickle_function (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2154573Z test_pickle_parameter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2155174Z test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2155726Z test_pickle_size (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2156248Z test_pin_memory (__main__.TestTorch) ... ok (0.012s) 2022-11-23T01:55:20.2156748Z test_print (__main__.TestTorch) ... ok (0.041s) 2022-11-23T01:55:20.2157260Z test_prod_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2157785Z test_pyobj_preserved (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2158303Z test_qengine (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2158873Z test_renorm_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2159408Z test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2159948Z test_reversed (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2160471Z test_scatter_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2161068Z test_select_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2161708Z test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.001s) 2022-11-23T01:55:20.2162375Z test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2162937Z test_show_config (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2163443Z test_size_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2165280Z test_sizeof (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:55:20.2171216Z warnings.warn(message, UserWarning) 2022-11-23T01:55:20.2171523Z ok (0.001s) 2022-11-23T01:55:20.2171801Z test_slice (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2172167Z test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:55:20.2172480Z test_sobolengine_bounds (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2172756Z test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.021s) 2022-11-23T01:55:20.2173027Z test_sobolengine_continuing (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2173314Z test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2173608Z test_sobolengine_distribution (__main__.TestTorch) ... ok (0.004s) 2022-11-23T01:55:20.2173887Z test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.007s) 2022-11-23T01:55:20.2174168Z test_sobolengine_draw (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2174429Z test_sobolengine_draw_base2 (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2174710Z test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2174992Z test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2175270Z test_sobolengine_fast_forward (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2175559Z test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2175835Z test_sobolengine_first_point (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2176107Z test_sobolengine_high_dim (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2176373Z test_sobolengine_raise (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2176629Z test_sobolengine_reset (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2176888Z test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2177151Z test_sort_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2177395Z test_split_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2177631Z test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2177877Z test_std_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2178121Z test_storage_casts (__main__.TestTorch) ... ok (0.010s) 2022-11-23T01:55:20.2178353Z test_storage_error (__main__.TestTorch) ... ok (0.025s) 2022-11-23T01:55:20.2178612Z test_storage_error_no_attribute (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2178879Z test_structseq_repr (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2179134Z test_subclass_preserved (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2179383Z test_subclass_tensors (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2179627Z test_sum_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2179871Z test_t_not_2d_error (__main__.TestTorch) ... ok (0.010s) 2022-11-23T01:55:20.2180106Z test_tensor_base_init (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2180357Z test_tensor_base_new (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2180610Z test_tensor_ctor_scalar (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2180956Z test_tensor_cycle_via_dict (__main__.TestTorch) ... ok (0.129s) 2022-11-23T01:55:20.2181225Z test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.066s) 2022-11-23T01:55:20.2181489Z test_tensor_dict_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2181761Z test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2182005Z test_tensor_set (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2182299Z test_tensor_set_errors (__main__.TestTorch) ... ok (0.005s) 2022-11-23T01:55:20.2182557Z test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2182809Z test_tensor_weakref_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2183088Z test_tensoriterator_output_setup (__main__.TestTorch) ... ok (0.123s) 2022-11-23T01:55:20.2183708Z test_to (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7733: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:55:20.2184265Z a = torch.tensor([[0, 1, 2], [2, 0, 3]]).to_sparse_csr() 2022-11-23T01:55:20.2184451Z ok (0.004s) 2022-11-23T01:55:20.2184662Z test_to_with_tensor (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2184909Z test_topk_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2185146Z test_torch_from_file (__main__.TestTorch) ... ok (0.004s) 2022-11-23T01:55:20.2185400Z test_transpose_neg_dim (__main__.TestTorch) ... ok (0.004s) 2022-11-23T01:55:20.2185644Z test_type (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2185880Z test_type_alias (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2186132Z test_type_conversion_via_dtype_name (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2186427Z test_typed_storage_deprecation_warning (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2187214Z test_typed_storage_internal_no_warning (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:55:20.2187705Z warnings.warn(message, UserWarning) 2022-11-23T01:55:20.2187889Z ok (0.002s) 2022-11-23T01:55:20.2188098Z test_unbind_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2188342Z test_unflatten (__main__.TestTorch) ... ok (0.022s) 2022-11-23T01:55:20.2188573Z test_unfold_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2188825Z test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T01:55:20.2189090Z test_upsample_nearest1d_meta (__main__.TestTorch) ... ok (0.012s) 2022-11-23T01:55:20.2189355Z test_upsample_nearest2d_meta (__main__.TestTorch) ... ok (0.013s) 2022-11-23T01:55:20.2189610Z test_var_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T01:55:20.2189857Z test_wildcard_import (__main__.TestTorch) ... ok (0.001s) 2022-11-23T01:55:20.2190003Z 2022-11-23T01:55:20.2190205Z ---------------------------------------------------------------------- 2022-11-23T01:55:20.2190435Z Ran 177 tests in 1.748s 2022-11-23T01:55:20.2190547Z 2022-11-23T01:55:20.2190620Z OK (skipped=5) 2022-11-23T01:55:20.2190725Z 2022-11-23T01:55:20.2190836Z Generating XML reports... 2022-11-23T01:55:20.2191237Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123015518.xml 2022-11-23T01:55:20.2191722Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20221123015518.xml 2022-11-23T01:55:20.2192027Z [TORCH_VITAL] Dataloader.enabled True 2022-11-23T01:55:20.2192273Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T01:55:20.2192513Z [TORCH_VITAL] CUDA.used False 2022-11-23T01:55:20.2192698Z 2022-11-23T01:55:20.2193047Z ##[endgroup] 2022-11-23T01:55:20.2193404Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_vm2x4hqe) 2022-11-23T01:55:20.2193607Z 2022-11-23T01:55:20.2193757Z Running doctests ... [2022-11-23 01:55:20.205667] 2022-11-23T01:55:20.2384060Z Start doctest_module('/opt/conda/lib/python3.10/site-packages/torch') 2022-11-23T01:55:20.2384513Z Listing tests 2022-11-23T01:55:22.3853810Z msg = Cannot scrape callname=parallelize_module in modpath=/opt/conda/lib/python3.10/site-packages/torch/distributed/_tensor/parallel/api.py line=28. 2022-11-23T01:55:22.3854344Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2022-11-23T01:55:22.3854529Z 2022-11-23T01:55:22.3854679Z The API to apply Tensor Parallelism (TP) in PyTorch. We parallelize module 2022-11-23T01:55:22.3854996Z or sub_modules based on a parallelize_plan which contains the parallel_style 2022-11-23T01:55:22.3855318Z which indicates how user want the module or sub_module to be parallelized. 2022-11-23T01:55:22.3855644Z User can also specify different parallel_style per module fully qualifed name (FQN). 2022-11-23T01:55:22.3856044Z The API supports 2D parallelism natively by accepting an n-dimension device_mesh 2022-11-23T01:55:22.3856379Z and users just need to specify the dimension where we perform tensor parallelism on. 2022-11-23T01:55:22.3856564Z 2022-11-23T01:55:22.3856630Z Args: 2022-11-23T01:55:22.3856784Z module (nn.Module): 2022-11-23T01:55:22.3857007Z :class:`nn.Module` object to be parallelized. 2022-11-23T01:55:22.3857228Z device_mesh (DeviceMesh): 2022-11-23T01:55:22.3857460Z :class:`DeviceMesh` object which describes the mesh topology 2022-11-23T01:55:22.3857701Z of devices for the DTensor. 2022-11-23T01:55:22.3857961Z parallelize_plan (Union[ParallelStyle, Dict[str, ParallelStyle]]): 2022-11-23T01:55:22.3858243Z The plan used to parallelize the module. It can be either a 2022-11-23T01:55:22.3858518Z :class:`ParallelStyle` object which contains how 2022-11-23T01:55:22.3858792Z we prepare input/output for Tensor Parallelism or it can be a 2022-11-23T01:55:22.3859081Z dict of module FQN and its corresponding :class:`ParallelStyle` object. 2022-11-23T01:55:22.3859328Z tp_mesh_dim (int): 2022-11-23T01:55:22.3859548Z the dimension of ``device_mesh`` where we perform 2022-11-23T01:55:22.3859776Z Tensor Parallelism on. 2022-11-23T01:55:22.3859884Z 2022-11-23T01:55:22.3859948Z Return: 2022-11-23T01:55:22.3860142Z A :class:`nn.Module` object parallelized. 2022-11-23T01:55:22.3860280Z 2022-11-23T01:55:22.3860370Z Example:: 2022-11-23T01:55:22.3860547Z >>> # xdoctest: +SKIP("distributed") 2022-11-23T01:55:22.3860848Z >>> from from torch.distributed._tensor.parallel import parallelize_module, PairwiseParallel 2022-11-23T01:55:22.3861111Z >>> 2022-11-23T01:55:22.3861264Z >>> # Define the module. 2022-11-23T01:55:22.3861446Z >>> m = Model(...) 2022-11-23T01:55:22.3861665Z >>> m = parallelize_module(m, PairwiseParallel()) 2022-11-23T01:55:22.3861855Z >>> 2022-11-23T01:55:22.3861949Z 2022-11-23T01:55:22.3862016Z .. warning:: 2022-11-23T01:55:22.3862251Z ``PairwiseParallel`` comes with constraints for now. If you need finer 2022-11-23T01:55:22.3862567Z granularity, you need to pass in a dict of module FQN and parallel style instead. 2022-11-23T01:55:22.3862737Z 2022-11-23T01:55:22.3863110Z Original Error: SyntaxError('invalid syntax', ('', 2, 6, 'from from torch.distributed._tensor.parallel import parallelize_module, PairwiseParallel\n', 2, 10)) 2022-11-23T01:55:22.3863381Z 2022-11-23T01:55:22.3863553Z from from torch.distributed._tensor.parallel import parallelize_module, PairwiseParallel 2022-11-23T01:55:22.3863805Z ^ 2022-11-23T01:55:24.2720648Z msg = Cannot scrape callname=DiagnosticEngine in modpath=/opt/conda/lib/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py line=13. 2022-11-23T01:55:24.2721553Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2022-11-23T01:55:24.2722046Z A generic diagnostic engine based on SARIF. 2022-11-23T01:55:24.2722309Z 2022-11-23T01:55:24.2722590Z This class is the main interface for diagnostics. It manages the creation of diagnostic contexts. 2022-11-23T01:55:24.2723223Z A DiagnosticContext provides the entry point for recording Diagnostics. 2022-11-23T01:55:24.2723859Z See infra.DiagnosticContext for more details. 2022-11-23T01:55:24.2724110Z 2022-11-23T01:55:24.2724212Z Examples: 2022-11-23T01:55:24.2724549Z Step 1: Create a set of rules. 2022-11-23T01:55:24.2725135Z >>> rules = infra.RuleCollection.from_list( 2022-11-23T01:55:24.2725485Z ... "CustomRuleCollection", 2022-11-23T01:55:24.2725824Z ... [ 2022-11-23T01:55:24.2726130Z ... infra.Rule( 2022-11-23T01:55:24.2726435Z ... id="r1", 2022-11-23T01:55:24.2726908Z ... name="rule-1", 2022-11-23T01:55:24.2727417Z ... message_default_template="Mising xxx", 2022-11-23T01:55:24.2727793Z ... ), 2022-11-23T01:55:24.2728060Z ... ], 2022-11-23T01:55:24.2728403Z ... ) 2022-11-23T01:55:24.2728510Z 2022-11-23T01:55:24.2728611Z Step 2: Create a diagnostic engine. 2022-11-23T01:55:24.2728818Z >>> engine = DiagnosticEngine() 2022-11-23T01:55:24.2728957Z 2022-11-23T01:55:24.2729060Z Step 3: Start a new diagnostic context. 2022-11-23T01:55:24.2729354Z >>> with engine.create_diagnostic_context("torch.onnx.export", version="1.0") as context: 2022-11-23T01:55:24.2729542Z 2022-11-23T01:55:24.2729643Z Step 4: Add diagnostics in your code. 2022-11-23T01:55:24.2729889Z ... context.diagnose(rules.rule1, infra.Level.ERROR) 2022-11-23T01:55:24.2730056Z 2022-11-23T01:55:24.2730160Z Step 5: Afterwards, get the SARIF log. 2022-11-23T01:55:24.2730389Z >>> sarif_log = engine.sarif_log() 2022-11-23T01:55:24.2730560Z 2022-11-23T01:55:24.2731100Z Original Error: IndentationError("expected an indented block after 'with' statement on line 1", ('', 1, 86, 'with engine.create_diagnostic_context("torch.onnx.export", version="1.0") as context:\n', 1, -1)) 2022-11-23T01:55:24.2731400Z 2022-11-23T01:55:24.2731556Z with engine.create_diagnostic_context("torch.onnx.export", version="1.0") as context: 2022-11-23T01:55:24.2731840Z ^ 2022-11-23T01:55:26.3747308Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py is_tensor:0 2022-11-23T01:55:26.3748401Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py set_default_tensor_type:0 2022-11-23T01:55:26.3749681Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py set_default_dtype:0 2022-11-23T01:55:26.3750528Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py use_deterministic_algorithms:0 2022-11-23T01:55:26.3751221Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so Generator:0 2022-11-23T01:55:26.3751981Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so _LinAlgError:0 2022-11-23T01:55:26.3752732Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_namedtensor_internals.py update_names:0 2022-11-23T01:55:26.3753480Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.register_hook:0 2022-11-23T01:55:26.3754305Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.refine_names:0 2022-11-23T01:55:26.3754982Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.align_to:0 2022-11-23T01:55:26.3755416Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.rename:0 2022-11-23T01:55:26.3756127Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.to_sparse_coo:0 2022-11-23T01:55:26.3756633Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor_str.py set_printoptions:0 2022-11-23T01:55:26.3757110Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_vmap_internals.py vmap:0 2022-11-23T01:55:26.3757840Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py broadcast_tensors:0 2022-11-23T01:55:26.3758816Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py broadcast_shapes:0 2022-11-23T01:55:26.3759587Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py split:0 2022-11-23T01:55:26.3760296Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py einsum:0 2022-11-23T01:55:26.3761049Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py meshgrid:0 2022-11-23T01:55:26.3761868Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py _unique_impl:0 2022-11-23T01:55:26.3762718Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py _unique_consecutive_impl:0 2022-11-23T01:55:26.3763154Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py tensordot:0 2022-11-23T01:55:26.3763890Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py cartesian_prod:0 2022-11-23T01:55:26.3764687Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py block_diag:0 2022-11-23T01:55:26.3765634Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py cdist:0 2022-11-23T01:55:26.3766305Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py atleast_1d:0 2022-11-23T01:55:26.3767002Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py atleast_2d:0 2022-11-23T01:55:26.3767580Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py atleast_3d:0 2022-11-23T01:55:26.3768006Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py norm:0 2022-11-23T01:55:26.3768749Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py chain_matmul:0 2022-11-23T01:55:26.3769518Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py _lu_impl:0 2022-11-23T01:55:26.3769910Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py list:0 2022-11-23T01:55:26.3770307Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py help:0 2022-11-23T01:55:26.3770699Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py load:0 2022-11-23T01:55:26.3771094Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py _load_local:0 2022-11-23T01:55:26.3771502Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py download_url_to_file:0 2022-11-23T01:55:26.3771943Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py load_state_dict_from_url:0 2022-11-23T01:55:26.3772377Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/library.py Library.define:0 2022-11-23T01:55:26.3772806Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/library.py Library.impl:0 2022-11-23T01:55:26.3773243Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py get_ignored_functions:0 2022-11-23T01:55:26.3773690Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py get_testing_overrides:0 2022-11-23T01:55:26.3774139Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py wrap_torch_function:0 2022-11-23T01:55:26.3774574Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py handle_torch_function:0 2022-11-23T01:55:26.3775152Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py is_tensor_method_or_property:0 2022-11-23T01:55:26.3775605Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py is_tensor_like:0 2022-11-23T01:55:26.3776039Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/quasirandom.py SobolEngine:0 2022-11-23T01:55:26.3776457Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/serialization.py save:0 2022-11-23T01:55:26.3776928Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/serialization.py load:0 2022-11-23T01:55:26.3777369Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/torch_version.py TorchVersion:0 2022-11-23T01:55:26.3778142Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.then:0 2022-11-23T01:55:26.3778676Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.add_done_callback:0 2022-11-23T01:55:26.3779145Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.set_result:0 2022-11-23T01:55:26.3779599Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.set_exception:0 2022-11-23T01:55:26.3780041Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py collect_all:0 2022-11-23T01:55:26.3780458Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py annotate:0 2022-11-23T01:55:26.3780887Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py strict_fusion:0 2022-11-23T01:55:26.3781352Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/monitor/__init__.py TensorboardEventHandler:0 2022-11-23T01:55:26.3781804Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nested/__init__.py as_nested_tensor:0 2022-11-23T01:55:26.3782225Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/sparse/__init__.py sum:0 2022-11-23T01:55:26.3782670Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_prims/context.py NvfuserPrimsMode:0 2022-11-23T01:55:26.3783118Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_prims/context.py TorchRefsMode:0 2022-11-23T01:55:26.3783579Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py LinearReLU:0 2022-11-23T01:55:26.3784109Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py LinearReLU:0 2022-11-23T01:55:26.3784624Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py LinearReLU:0 2022-11-23T01:55:26.3785103Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py LSTMCell:0 2022-11-23T01:55:26.3785553Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py LSTM:0 2022-11-23T01:55:26.3786007Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py conv1d:0 2022-11-23T01:55:26.3786460Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py conv2d:0 2022-11-23T01:55:26.3786904Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py conv3d:0 2022-11-23T01:55:26.3787350Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py Quantize:0 2022-11-23T01:55:26.3787825Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py DeQuantize:0 2022-11-23T01:55:26.3788299Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv1d:0 2022-11-23T01:55:26.3788763Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv2d:0 2022-11-23T01:55:26.3789271Z 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SummaryWriter.__init__:0 2022-11-23T01:55:26.4090479Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_hparams:0 2022-11-23T01:55:26.4090990Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_scalar:0 2022-11-23T01:55:26.4091479Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_scalars:0 2022-11-23T01:55:26.4091992Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_histogram:0 2022-11-23T01:55:26.4092662Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_histogram_raw:0 2022-11-23T01:55:26.4093175Z python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_image:0 2022-11-23T01:55:26.4093665Z python -m xdoctest 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2022-11-23T01:55:36.3160072Z + echo 'Running ATen tests with pytorch lib' 2022-11-23T01:55:36.3160311Z Running ATen tests with pytorch lib 2022-11-23T01:55:36.3160531Z + [[ -n '' ]] 2022-11-23T01:55:36.3160769Z + echo 'Running test with the build folder' 2022-11-23T01:55:36.3160978Z Running test with the build folder 2022-11-23T01:55:36.3161192Z + TEST_BASE_DIR=build/bin 2022-11-23T01:55:36.3161740Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin 2022-11-23T01:55:36.3269488Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin 2022-11-23T01:55:36.3278121Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2022-11-23T01:55:36.3287658Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2022-11-23T01:55:36.3297225Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin 2022-11-23T01:55:36.3306368Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libtbb*' build/bin 2022-11-23T01:55:36.3314167Z + ls build/bin 2022-11-23T01:55:36.3357634Z CppSignature_test cuda_half_test 2022-11-23T01:55:36.3358196Z Dict_test cuda_integer_divider_test 2022-11-23T01:55:36.3358738Z Dimname_test cuda_optional_test 2022-11-23T01:55:36.3359361Z FileStoreTest cuda_packedtensoraccessor_test 2022-11-23T01:55:36.3359814Z HashStoreTest cuda_reportMemoryUsage_test 2022-11-23T01:55:36.3360156Z IListRef_test cuda_stream_test 2022-11-23T01:55:36.3360408Z KernelFunction_test cuda_vectorized_test 2022-11-23T01:55:36.3360645Z List_test dispatch_key_set_test 2022-11-23T01:55:36.3360855Z MaybeOwned_test dlconvertor_test 2022-11-23T01:55:36.3361090Z NamedTensor_test example_allreduce 2022-11-23T01:55:36.3361528Z ProcessGroupGlooAsyncTest extension_backend_test 2022-11-23T01:55:36.3361783Z ProcessGroupGlooTest half_test 2022-11-23T01:55:36.3362038Z ProcessGroupMPITest inline_container_test 2022-11-23T01:55:36.3362309Z ProcessGroupNCCLErrorsTest ivalue_test 2022-11-23T01:55:36.3362584Z ProcessGroupNCCLTest kernel_function_legacy_test 2022-11-23T01:55:36.3362841Z ProcessGroupUCCTest kernel_function_test 2022-11-23T01:55:36.3363096Z TCPStoreTest kernel_lambda_legacy_test 2022-11-23T01:55:36.3363347Z aot_model_compiler_test kernel_lambda_test 2022-11-23T01:55:36.3363579Z apply_utils_test kernel_stackbased_test 2022-11-23T01:55:36.3363800Z atest lazy_tensor_test 2022-11-23T01:55:36.3364013Z backend_fallback_test libc10.so 2022-11-23T01:55:36.3364215Z basic libc10_cuda.so 2022-11-23T01:55:36.3364430Z broadcast_test libc10d_cuda_test.so 2022-11-23T01:55:36.3364657Z c10_Array_test libcaffe2_nvrtc.so 2022-11-23T01:55:36.3365185Z c10_Bitset_test 'libmkldnn*' 2022-11-23T01:55:36.3365419Z c10_C++17_test 'libnccl*' 2022-11-23T01:55:36.3365703Z c10_CompileTimeFunctionPointer_test 'libtbb*' 2022-11-23T01:55:36.3365958Z c10_ConstexprCrc_test libtorch.so 2022-11-23T01:55:36.3366189Z c10_DeadlockDetection_test libtorch_cpu.so 2022-11-23T01:55:36.3366438Z c10_DeviceGuard_test libtorch_cuda.so 2022-11-23T01:55:36.3366675Z c10_Device_test libtorch_cuda_linalg.so 2022-11-23T01:55:36.3366913Z c10_DispatchKeySet_test libtorch_global_deps.so 2022-11-23T01:55:36.3367160Z c10_Half_test libtorch_python.so 2022-11-23T01:55:36.3367407Z c10_InlineDeviceGuard_test libtorchbind_test.so 2022-11-23T01:55:36.3367677Z c10_InlineStreamGuard_test make_boxed_from_unboxed_functor_test 2022-11-23T01:55:36.3367956Z c10_LeftRight_test math_kernel_test 2022-11-23T01:55:36.3368199Z c10_Metaprogramming_test memory_format_test 2022-11-23T01:55:36.3368468Z c10_SizesAndStrides_test memory_overlapping_test 2022-11-23T01:55:36.3368712Z c10_SmallVectorTest mobile_memory_cleanup 2022-11-23T01:55:36.3368947Z c10_StreamGuard_test native_test 2022-11-23T01:55:36.3369169Z c10_SymInt_test op_allowlist_test 2022-11-23T01:55:36.3369394Z c10_Synchronized_test op_registration_test 2022-11-23T01:55:36.3369640Z c10_ThreadLocal_test operator_name_test 2022-11-23T01:55:36.3369872Z c10_TypeIndex_test operators_test 2022-11-23T01:55:36.3370108Z c10_TypeList_test packedtensoraccessor_test 2022-11-23T01:55:36.3370363Z c10_TypeTraits_test parallel_benchmark 2022-11-23T01:55:36.3370589Z c10_accumulate_test pow_test 2022-11-23T01:55:36.3370783Z c10_bfloat16_test protoc 2022-11-23T01:55:36.3371061Z c10_complex_math_test protoc-3.13.0.0 2022-11-23T01:55:36.3371290Z c10_complex_test quantized_test 2022-11-23T01:55:36.3371501Z c10_cuda_CUDATest reduce_ops_test 2022-11-23T01:55:36.3371735Z c10_either_test reportMemoryUsage_test 2022-11-23T01:55:36.3371977Z c10_exception_test scalar_tensor_test 2022-11-23T01:55:36.3372200Z c10_flags_test scalar_test 2022-11-23T01:55:36.3372427Z c10_intrusive_ptr_benchmark stride_properties_test 2022-11-23T01:55:36.3372684Z c10_intrusive_ptr_test tensor_iterator_test 2022-11-23T01:55:36.3372907Z c10_irange_test test_api 2022-11-23T01:55:36.3373098Z c10_logging_test test_cpp_rpc 2022-11-23T01:55:36.3373418Z c10_optional_test test_dist_autograd 2022-11-23T01:55:36.3373662Z c10_ordered_preserving_dict_test test_jit 2022-11-23T01:55:36.3373869Z c10_registry_test test_lazy 2022-11-23T01:55:36.3374089Z c10_string_view_test test_mobile_nnc 2022-11-23T01:55:36.3374311Z c10_tempfile_test test_parallel 2022-11-23T01:55:36.3374516Z c10_typeid_test test_tensorexpr 2022-11-23T01:55:36.3374817Z cpu_generator_test thread_init_test 2022-11-23T01:55:36.3375065Z cpu_profiling_allocator_test torch_shm_manager 2022-11-23T01:55:36.3375292Z cpu_rng_test tutorial_tensorexpr 2022-11-23T01:55:36.3375512Z cuda_apply_test type_ptr_test 2022-11-23T01:55:36.3375732Z cuda_atomic_ops_test type_test 2022-11-23T01:55:36.3375980Z cuda_caching_host_allocator_test undefined_tensor_test 2022-11-23T01:55:36.3376219Z cuda_complex_math_test variant_test 2022-11-23T01:55:36.3376463Z cuda_complex_test vec_test_all_types_AVX2 2022-11-23T01:55:36.3376705Z cuda_cub_test vec_test_all_types_DEFAULT 2022-11-23T01:55:36.3376929Z cuda_cudnn_test verify_api_visibility 2022-11-23T01:55:36.3377145Z cuda_device_test vmap_test 2022-11-23T01:55:36.3377372Z cuda_distributions_test weakref_test 2022-11-23T01:55:36.3377593Z cuda_dlconvertor_test wrapdim_test 2022-11-23T01:55:36.3377824Z cuda_generator_test xla_tensor_test 2022-11-23T01:55:36.3378048Z + aten/tools/run_tests.sh build/bin 2022-11-23T01:55:36.3379951Z + set -e 2022-11-23T01:55:36.3382373Z ++ dirname aten/tools/run_tests.sh 2022-11-23T01:55:36.3401493Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2022-11-23T01:55:36.3401924Z + pushd build/bin 2022-11-23T01:55:36.3402278Z ~/workspace/build/bin ~/workspace 2022-11-23T01:55:36.3402540Z + VALGRIND=ON 2022-11-23T01:55:36.3402707Z + ./basic 2022-11-23T01:55:37.4494065Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:37.4494852Z [==========] Running 5 tests from 1 test suite. 2022-11-23T01:55:37.4495168Z [----------] Global test environment set-up. 2022-11-23T01:55:37.4495454Z [----------] 5 tests from BasicTest 2022-11-23T01:55:37.4495715Z [ RUN ] BasicTest.BasicTestCPU 2022-11-23T01:55:37.5658145Z 4 ms 2022-11-23T01:55:37.6388667Z 71 ms 2022-11-23T01:55:37.7514557Z 109 ms 2022-11-23T01:55:37.7992052Z [ OK ] BasicTest.BasicTestCPU (349 ms) 2022-11-23T01:55:37.7992457Z [ RUN ] BasicTest.BasicTestHalfCPU 2022-11-23T01:55:37.8028553Z 2 ms 2022-11-23T01:55:37.8966995Z 92 ms 2022-11-23T01:55:38.0259165Z 129 ms 2022-11-23T01:55:38.0371645Z [ OK ] BasicTest.BasicTestHalfCPU (238 ms) 2022-11-23T01:55:38.0371968Z [ RUN ] BasicTest.BasicTestCUDA 2022-11-23T01:55:38.0372273Z [ OK ] BasicTest.BasicTestCUDA (0 ms) 2022-11-23T01:55:38.0372579Z [ RUN ] BasicTest.FactoryMethodsTest 2022-11-23T01:55:38.0405104Z [ OK ] BasicTest.FactoryMethodsTest (3 ms) 2022-11-23T01:55:38.0405566Z [ RUN ] BasicTest.BasicStdTestCPU 2022-11-23T01:55:38.0406104Z Simple example: called once 2022-11-23T01:55:38.0409705Z throw: call_once will retry 2022-11-23T01:55:38.0411404Z throw: call_once will retry 2022-11-23T01:55:38.0413444Z Didn't throw, call_once will not attempt again 2022-11-23T01:55:38.0413928Z [ OK ] BasicTest.BasicStdTestCPU (0 ms) 2022-11-23T01:55:38.0414247Z [----------] 5 tests from BasicTest (592 ms total) 2022-11-23T01:55:38.0414399Z 2022-11-23T01:55:38.0414566Z [----------] Global test environment tear-down 2022-11-23T01:55:38.0414882Z [==========] 5 tests from 1 test suite ran. (592 ms total) 2022-11-23T01:55:38.0415144Z [ PASSED ] 5 tests. 2022-11-23T01:55:38.1402179Z + ./atest 2022-11-23T01:55:38.4641521Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:38.4642048Z [==========] Running 16 tests from 1 test suite. 2022-11-23T01:55:38.4642468Z [----------] Global test environment set-up. 2022-11-23T01:55:38.4642753Z [----------] 16 tests from atest 2022-11-23T01:55:38.4643009Z [ RUN ] atest.operators 2022-11-23T01:55:38.4643473Z [ OK ] atest.operators (0 ms) 2022-11-23T01:55:38.4643929Z [ RUN ] atest.logical_and_operators 2022-11-23T01:55:38.4646039Z [ OK ] atest.logical_and_operators (0 ms) 2022-11-23T01:55:38.4646608Z [ RUN ] atest.logical_or_operators 2022-11-23T01:55:38.4647049Z [ OK ] atest.logical_or_operators (0 ms) 2022-11-23T01:55:38.4647342Z [ RUN ] atest.logical_xor_operators 2022-11-23T01:55:38.4647637Z [ OK ] atest.logical_xor_operators (0 ms) 2022-11-23T01:55:38.4647894Z [ RUN ] atest.lt_operators 2022-11-23T01:55:38.4655330Z [ OK ] atest.lt_operators (0 ms) 2022-11-23T01:55:38.4655819Z [ RUN ] atest.le_operators 2022-11-23T01:55:38.4656247Z [ OK ] atest.le_operators (0 ms) 2022-11-23T01:55:38.4656658Z [ RUN ] atest.gt_operators 2022-11-23T01:55:38.4657029Z [ OK ] atest.gt_operators (0 ms) 2022-11-23T01:55:38.4657419Z [ RUN ] atest.ge_operators 2022-11-23T01:55:38.4657695Z [ OK ] atest.ge_operators (0 ms) 2022-11-23T01:55:38.4657964Z [ RUN ] atest.eq_operators 2022-11-23T01:55:38.4658228Z [ OK ] atest.eq_operators (0 ms) 2022-11-23T01:55:38.4658465Z [ RUN ] atest.ne_operators 2022-11-23T01:55:38.4658725Z [ OK ] atest.ne_operators (0 ms) 2022-11-23T01:55:38.4658985Z [ RUN ] atest.add_operators 2022-11-23T01:55:38.4659242Z [ OK ] atest.add_operators (0 ms) 2022-11-23T01:55:38.4659509Z [ RUN ] atest.max_operators 2022-11-23T01:55:38.4678613Z [ OK ] atest.max_operators (2 ms) 2022-11-23T01:55:38.4679063Z [ RUN ] atest.min_operators 2022-11-23T01:55:38.4679604Z [ OK ] atest.min_operators (0 ms) 2022-11-23T01:55:38.4679951Z [ RUN ] atest.sigmoid_backward_operator 2022-11-23T01:55:38.4680382Z [ OK ] atest.sigmoid_backward_operator (0 ms) 2022-11-23T01:55:38.4680673Z [ RUN ] atest.fmod_tensor_operators 2022-11-23T01:55:38.4682068Z [ OK ] atest.fmod_tensor_operators (0 ms) 2022-11-23T01:55:38.4682329Z [ RUN ] atest.atest 2022-11-23T01:55:38.4792151Z [ OK ] atest.atest (11 ms) 2022-11-23T01:55:38.4792655Z [----------] 16 tests from atest (15 ms total) 2022-11-23T01:55:38.4792930Z 2022-11-23T01:55:38.4793241Z [----------] Global test environment tear-down 2022-11-23T01:55:38.4793572Z [==========] 16 tests from 1 test suite ran. (15 ms total) 2022-11-23T01:55:38.4793837Z [ PASSED ] 16 tests. 2022-11-23T01:55:38.5568798Z + ./scalar_test 2022-11-23T01:55:38.8747279Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:38.8748005Z [==========] Running 4 tests from 1 test suite. 2022-11-23T01:55:38.8748310Z [----------] Global test environment set-up. 2022-11-23T01:55:38.8748610Z [----------] 4 tests from TestScalar 2022-11-23T01:55:38.8748883Z [ RUN ] TestScalar.TestScalar 2022-11-23T01:55:38.8749083Z H2: 3 257 3 1 2022-11-23T01:55:38.8859357Z [ OK ] TestScalar.TestScalar (11 ms) 2022-11-23T01:55:38.8859907Z [ RUN ] TestScalar.TestConj 2022-11-23T01:55:38.8860381Z [ OK ] TestScalar.TestConj (0 ms) 2022-11-23T01:55:38.8860904Z [ RUN ] TestScalar.TestEqual 2022-11-23T01:55:38.8861406Z [ OK ] TestScalar.TestEqual (0 ms) 2022-11-23T01:55:38.8862202Z [ RUN ] TestScalar.TestFormatting 2022-11-23T01:55:38.8862626Z [ OK ] TestScalar.TestFormatting (0 ms) 2022-11-23T01:55:38.8862951Z [----------] 4 tests from TestScalar (11 ms total) 2022-11-23T01:55:38.8863105Z 2022-11-23T01:55:38.8863269Z [----------] Global test environment tear-down 2022-11-23T01:55:38.8863566Z [==========] 4 tests from 1 test suite ran. (11 ms total) 2022-11-23T01:55:38.8863829Z [ PASSED ] 4 tests. 2022-11-23T01:55:38.9593537Z + ./broadcast_test 2022-11-23T01:55:39.2778334Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:39.2779058Z [==========] Running 1 test from 1 test suite. 2022-11-23T01:55:39.2779525Z [----------] Global test environment set-up. 2022-11-23T01:55:39.2779893Z [----------] 1 test from BroadcastTest 2022-11-23T01:55:39.2780177Z [ RUN ] BroadcastTest.Broadcast 2022-11-23T01:55:39.3250382Z [ OK ] BroadcastTest.Broadcast (47 ms) 2022-11-23T01:55:39.3250764Z [----------] 1 test from BroadcastTest (47 ms total) 2022-11-23T01:55:39.3250923Z 2022-11-23T01:55:39.3251131Z [----------] Global test environment tear-down 2022-11-23T01:55:39.3251460Z [==========] 1 test from 1 test suite ran. (47 ms total) 2022-11-23T01:55:39.3251718Z [ PASSED ] 1 test. 2022-11-23T01:55:39.3999445Z + ./wrapdim_test 2022-11-23T01:55:39.7224602Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:39.7225492Z [==========] Running 1 test from 1 test suite. 2022-11-23T01:55:39.7226036Z [----------] Global test environment set-up. 2022-11-23T01:55:39.7226572Z [----------] 1 test from TestWrapdim 2022-11-23T01:55:39.7227072Z [ RUN ] TestWrapdim.TestWrapdim 2022-11-23T01:55:39.7231280Z [ OK ] TestWrapdim.TestWrapdim (0 ms) 2022-11-23T01:55:39.7231931Z [----------] 1 test from TestWrapdim (0 ms total) 2022-11-23T01:55:39.7232090Z 2022-11-23T01:55:39.7232263Z [----------] Global test environment tear-down 2022-11-23T01:55:39.7232559Z [==========] 1 test from 1 test suite ran. (0 ms total) 2022-11-23T01:55:39.7232817Z [ PASSED ] 1 test. 2022-11-23T01:55:39.7980132Z + ./apply_utils_test 2022-11-23T01:55:40.1163058Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:40.1163598Z [==========] Running 6 tests from 1 test suite. 2022-11-23T01:55:40.1163904Z [----------] Global test environment set-up. 2022-11-23T01:55:40.1164213Z [----------] 6 tests from ApplyUtilsTest 2022-11-23T01:55:40.1164501Z [ RUN ] ApplyUtilsTest.Contiguous2D 2022-11-23T01:55:40.1194608Z [ OK ] ApplyUtilsTest.Contiguous2D (3 ms) 2022-11-23T01:55:40.1195164Z [ RUN ] ApplyUtilsTest.Small2D 2022-11-23T01:55:40.1195476Z [ OK ] ApplyUtilsTest.Small2D (0 ms) 2022-11-23T01:55:40.1195783Z [ RUN ] ApplyUtilsTest._2D 2022-11-23T01:55:40.1205897Z [ OK ] ApplyUtilsTest._2D (1 ms) 2022-11-23T01:55:40.1206158Z [ RUN ] ApplyUtilsTest._3D 2022-11-23T01:55:40.1207714Z [ OK ] ApplyUtilsTest._3D (0 ms) 2022-11-23T01:55:40.1207999Z [ RUN ] ApplyUtilsTest.Medium3D 2022-11-23T01:55:40.1220128Z [ OK ] ApplyUtilsTest.Medium3D (1 ms) 2022-11-23T01:55:40.1220429Z [ RUN ] ApplyUtilsTest._10D 2022-11-23T01:55:40.1966237Z [ OK ] ApplyUtilsTest._10D (74 ms) 2022-11-23T01:55:40.1966607Z [----------] 6 tests from ApplyUtilsTest (80 ms total) 2022-11-23T01:55:40.1966831Z 2022-11-23T01:55:40.1967013Z [----------] Global test environment tear-down 2022-11-23T01:55:40.1967313Z [==========] 6 tests from 1 test suite ran. (80 ms total) 2022-11-23T01:55:40.1967637Z [ PASSED ] 6 tests. 2022-11-23T01:55:40.2715981Z + ./dlconvertor_test 2022-11-23T01:55:40.5915371Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:40.5915872Z [==========] Running 2 tests from 1 test suite. 2022-11-23T01:55:40.5916170Z [----------] Global test environment set-up. 2022-11-23T01:55:40.5916475Z [----------] 2 tests from TestDlconvertor 2022-11-23T01:55:40.5916783Z [ RUN ] TestDlconvertor.TestDlconvertor 2022-11-23T01:55:40.5919191Z [ OK ] TestDlconvertor.TestDlconvertor (0 ms) 2022-11-23T01:55:40.5919661Z [ RUN ] TestDlconvertor.TestDlconvertorNoStrides 2022-11-23T01:55:40.5920115Z [ OK ] TestDlconvertor.TestDlconvertorNoStrides (0 ms) 2022-11-23T01:55:40.5920482Z [----------] 2 tests from TestDlconvertor (0 ms total) 2022-11-23T01:55:40.5920672Z 2022-11-23T01:55:40.5920843Z [----------] Global test environment tear-down 2022-11-23T01:55:40.5921160Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2022-11-23T01:55:40.5921454Z [ PASSED ] 2 tests. 2022-11-23T01:55:40.6646530Z + ./native_test 2022-11-23T01:55:40.9825630Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:40.9826135Z [==========] Running 2 tests from 1 test suite. 2022-11-23T01:55:40.9826447Z [----------] Global test environment set-up. 2022-11-23T01:55:40.9826747Z [----------] 2 tests from TestNative 2022-11-23T01:55:40.9827014Z [ RUN ] TestNative.NativeTestCPU 2022-11-23T01:55:41.0023081Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator()) 2022-11-23T01:55:41.0023942Z [ OK ] TestNative.NativeTestCPU (19 ms) 2022-11-23T01:55:41.0024251Z [ RUN ] TestNative.NativeTestGPU 2022-11-23T01:55:41.0024571Z [ OK ] TestNative.NativeTestGPU (0 ms) 2022-11-23T01:55:41.0024895Z [----------] 2 tests from TestNative (19 ms total) 2022-11-23T01:55:41.0025049Z 2022-11-23T01:55:41.0025217Z [----------] Global test environment tear-down 2022-11-23T01:55:41.0025528Z [==========] 2 tests from 1 test suite ran. (19 ms total) 2022-11-23T01:55:41.0025769Z [ PASSED ] 2 tests. 2022-11-23T01:55:41.0796003Z + ./scalar_tensor_test 2022-11-23T01:55:41.4000260Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:41.4000968Z [==========] Running 3 tests from 1 test suite. 2022-11-23T01:55:41.4001428Z [----------] Global test environment set-up. 2022-11-23T01:55:41.4001906Z [----------] 3 tests from TestScalarTensor 2022-11-23T01:55:41.4002399Z [ RUN ] TestScalarTensor.TestScalarTensorCPU 2022-11-23T01:55:41.6142425Z [ OK ] TestScalarTensor.TestScalarTensorCPU (214 ms) 2022-11-23T01:55:41.6142954Z [ RUN ] TestScalarTensor.TestScalarTensorCUDA 2022-11-23T01:55:41.6143340Z [ OK ] TestScalarTensor.TestScalarTensorCUDA (0 ms) 2022-11-23T01:55:41.6143774Z [ RUN ] TestScalarTensor.TestScalarTensorMPS 2022-11-23T01:55:41.6144128Z [ OK ] TestScalarTensor.TestScalarTensorMPS (0 ms) 2022-11-23T01:55:41.6144555Z [----------] 3 tests from TestScalarTensor (214 ms total) 2022-11-23T01:55:41.6144724Z 2022-11-23T01:55:41.6144892Z [----------] Global test environment tear-down 2022-11-23T01:55:41.6145260Z [==========] 3 tests from 1 test suite ran. (214 ms total) 2022-11-23T01:55:41.6145505Z [ PASSED ] 3 tests. 2022-11-23T01:55:41.6890225Z + [[ -x ./tensor_interop_test ]] 2022-11-23T01:55:41.6890470Z + ./undefined_tensor_test 2022-11-23T01:55:42.0098778Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:42.0099479Z [==========] Running 1 test from 1 test suite. 2022-11-23T01:55:42.0099775Z [----------] Global test environment set-up. 2022-11-23T01:55:42.0100071Z [----------] 1 test from TestUndefined 2022-11-23T01:55:42.0100363Z [ RUN ] TestUndefined.UndefinedTest 2022-11-23T01:55:42.0382058Z [ OK ] TestUndefined.UndefinedTest (28 ms) 2022-11-23T01:55:42.0382945Z [----------] 1 test from TestUndefined (28 ms total) 2022-11-23T01:55:42.0383107Z 2022-11-23T01:55:42.0383284Z [----------] Global test environment tear-down 2022-11-23T01:55:42.0383594Z [==========] 1 test from 1 test suite ran. (28 ms total) 2022-11-23T01:55:42.0383838Z [ PASSED ] 1 test. 2022-11-23T01:55:42.1119848Z + ./extension_backend_test 2022-11-23T01:55:42.4317589Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:42.4318217Z [==========] Running 1 test from 1 test suite. 2022-11-23T01:55:42.4318818Z [----------] Global test environment set-up. 2022-11-23T01:55:42.4319157Z [----------] 1 test from BackendExtensionTest 2022-11-23T01:55:42.4319487Z [ RUN ] BackendExtensionTest.TestRegisterOp 2022-11-23T01:55:42.4319835Z [ OK ] BackendExtensionTest.TestRegisterOp (0 ms) 2022-11-23T01:55:42.4320200Z [----------] 1 test from BackendExtensionTest (0 ms total) 2022-11-23T01:55:42.4320378Z 2022-11-23T01:55:42.4320546Z [----------] Global test environment tear-down 2022-11-23T01:55:42.4320837Z [==========] 1 test from 1 test suite ran. (0 ms total) 2022-11-23T01:55:42.4321091Z [ PASSED ] 1 test. 2022-11-23T01:55:42.5034101Z + ./lazy_tensor_test 2022-11-23T01:55:42.8209620Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:42.8210440Z [==========] Running 2 tests from 2 test suites. 2022-11-23T01:55:42.8210999Z [----------] Global test environment set-up. 2022-11-23T01:55:42.8211496Z [----------] 1 test from XlaTensorTest 2022-11-23T01:55:42.8211797Z [ RUN ] XlaTensorTest.TestNoStorage 2022-11-23T01:55:42.8212119Z [ OK ] XlaTensorTest.TestNoStorage (0 ms) 2022-11-23T01:55:42.8212449Z [----------] 1 test from XlaTensorTest (0 ms total) 2022-11-23T01:55:42.8212608Z 2022-11-23T01:55:42.8212756Z [----------] 1 test from LazyTensorTest 2022-11-23T01:55:42.8213033Z [ RUN ] LazyTensorTest.TestNoStorage 2022-11-23T01:55:42.8213352Z [ OK ] LazyTensorTest.TestNoStorage (0 ms) 2022-11-23T01:55:42.8213681Z [----------] 1 test from LazyTensorTest (0 ms total) 2022-11-23T01:55:42.8213834Z 2022-11-23T01:55:42.8213984Z [----------] Global test environment tear-down 2022-11-23T01:55:42.8214302Z [==========] 2 tests from 2 test suites ran. (0 ms total) 2022-11-23T01:55:42.8214565Z [ PASSED ] 2 tests. 2022-11-23T01:55:42.8936115Z + ./tensor_iterator_test 2022-11-23T01:55:43.2119600Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:43.2120247Z [==========] Running 65 tests from 1 test suite. 2022-11-23T01:55:43.2120655Z [----------] Global test environment set-up. 2022-11-23T01:55:43.2121160Z [----------] 65 tests from TensorIteratorTest 2022-11-23T01:55:43.2121705Z [ RUN ] TensorIteratorTest.CPUScalar 2022-11-23T01:55:43.2122044Z [ OK ] TensorIteratorTest.CPUScalar (0 ms) 2022-11-23T01:55:43.2122375Z [ RUN ] TensorIteratorTest.CPUScalarInputs 2022-11-23T01:55:43.2122711Z [ OK ] TensorIteratorTest.CPUScalarInputs (0 ms) 2022-11-23T01:55:43.2123049Z [ RUN ] TensorIteratorTest.MixedDevices 2022-11-23T01:55:43.2123381Z [ OK ] TensorIteratorTest.MixedDevices (0 ms) 2022-11-23T01:55:43.2123905Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Byte 2022-11-23T01:55:43.2145579Z [ OK ] TensorIteratorTest.SerialLoopUnary_Byte (2 ms) 2022-11-23T01:55:43.2146293Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Char 2022-11-23T01:55:43.2163753Z [ OK ] TensorIteratorTest.SerialLoopUnary_Char (1 ms) 2022-11-23T01:55:43.2164450Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Short 2022-11-23T01:55:43.2181511Z [ OK ] TensorIteratorTest.SerialLoopUnary_Short (1 ms) 2022-11-23T01:55:43.2181908Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Int 2022-11-23T01:55:43.2198661Z [ OK ] TensorIteratorTest.SerialLoopUnary_Int (1 ms) 2022-11-23T01:55:43.2199028Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Long 2022-11-23T01:55:43.2216177Z [ OK ] TensorIteratorTest.SerialLoopUnary_Long (1 ms) 2022-11-23T01:55:43.2216575Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Float 2022-11-23T01:55:43.2233664Z [ OK ] TensorIteratorTest.SerialLoopUnary_Float (1 ms) 2022-11-23T01:55:43.2234030Z [ RUN ] TensorIteratorTest.SerialLoopUnary_Double 2022-11-23T01:55:43.2251408Z [ OK ] TensorIteratorTest.SerialLoopUnary_Double (1 ms) 2022-11-23T01:55:43.2251786Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Byte 2022-11-23T01:55:43.2268554Z [ OK ] TensorIteratorTest.SerialLoopBinary_Byte (1 ms) 2022-11-23T01:55:43.2268925Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Char 2022-11-23T01:55:43.2286056Z [ OK ] TensorIteratorTest.SerialLoopBinary_Char (1 ms) 2022-11-23T01:55:43.2286434Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Short 2022-11-23T01:55:43.2303018Z [ OK ] TensorIteratorTest.SerialLoopBinary_Short (1 ms) 2022-11-23T01:55:43.2303406Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Int 2022-11-23T01:55:43.2320203Z [ OK ] TensorIteratorTest.SerialLoopBinary_Int (1 ms) 2022-11-23T01:55:43.2320578Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Long 2022-11-23T01:55:43.2337373Z [ OK ] TensorIteratorTest.SerialLoopBinary_Long (1 ms) 2022-11-23T01:55:43.2337753Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Float 2022-11-23T01:55:43.2354404Z [ OK ] TensorIteratorTest.SerialLoopBinary_Float (1 ms) 2022-11-23T01:55:43.2354773Z [ RUN ] TensorIteratorTest.SerialLoopBinary_Double 2022-11-23T01:55:43.2371960Z [ OK ] TensorIteratorTest.SerialLoopBinary_Double (1 ms) 2022-11-23T01:55:43.2372429Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Byte 2022-11-23T01:55:43.2389055Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Byte (1 ms) 2022-11-23T01:55:43.2389450Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Char 2022-11-23T01:55:43.2406528Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Char (1 ms) 2022-11-23T01:55:43.2406939Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Short 2022-11-23T01:55:43.2423665Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Short (1 ms) 2022-11-23T01:55:43.2424078Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Int 2022-11-23T01:55:43.2440732Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Int (1 ms) 2022-11-23T01:55:43.2441191Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Long 2022-11-23T01:55:43.2458050Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Long (1 ms) 2022-11-23T01:55:43.2458462Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Float 2022-11-23T01:55:43.2475002Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Float (1 ms) 2022-11-23T01:55:43.2475407Z [ RUN ] TensorIteratorTest.SerialLoopPointwise_Double 2022-11-23T01:55:43.2493821Z [ OK ] TensorIteratorTest.SerialLoopPointwise_Double (1 ms) 2022-11-23T01:55:43.2494804Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Byte 2022-11-23T01:55:43.2495560Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Byte (0 ms) 2022-11-23T01:55:43.2496232Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Char 2022-11-23T01:55:43.2496983Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Char (0 ms) 2022-11-23T01:55:43.2497649Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Short 2022-11-23T01:55:43.2498542Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Short (0 ms) 2022-11-23T01:55:43.2499332Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Int 2022-11-23T01:55:43.2499983Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Int (0 ms) 2022-11-23T01:55:43.2500399Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Long 2022-11-23T01:55:43.2500811Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Long (0 ms) 2022-11-23T01:55:43.2501213Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Float 2022-11-23T01:55:43.2501631Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Float (0 ms) 2022-11-23T01:55:43.2502062Z [ RUN ] TensorIteratorTest.SerialLoopUnaryNoOutput_Double 2022-11-23T01:55:43.2502648Z [ OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Double (0 ms) 2022-11-23T01:55:43.2503292Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Byte 2022-11-23T01:55:43.2503996Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Byte (0 ms) 2022-11-23T01:55:43.2504602Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Char 2022-11-23T01:55:43.2505076Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Char (0 ms) 2022-11-23T01:55:43.2505591Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Short 2022-11-23T01:55:43.2506020Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Short (0 ms) 2022-11-23T01:55:43.2506427Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Int 2022-11-23T01:55:43.2506850Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Int (0 ms) 2022-11-23T01:55:43.2507265Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Long 2022-11-23T01:55:43.2507684Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Long (0 ms) 2022-11-23T01:55:43.2508098Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Float 2022-11-23T01:55:43.2508521Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Float (0 ms) 2022-11-23T01:55:43.2508944Z [ RUN ] TensorIteratorTest.SerialLoopBinaryNoOutput_Double 2022-11-23T01:55:43.2509358Z [ OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Double (0 ms) 2022-11-23T01:55:43.2509783Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Byte 2022-11-23T01:55:43.2510221Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Byte (0 ms) 2022-11-23T01:55:43.2510650Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Char 2022-11-23T01:55:43.2511069Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Char (0 ms) 2022-11-23T01:55:43.2511496Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Short 2022-11-23T01:55:43.2511934Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Short (0 ms) 2022-11-23T01:55:43.2512351Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Int 2022-11-23T01:55:43.2512778Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Int (0 ms) 2022-11-23T01:55:43.2513205Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Long 2022-11-23T01:55:43.2513638Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Long (0 ms) 2022-11-23T01:55:43.2514055Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Float 2022-11-23T01:55:43.2514579Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Float (0 ms) 2022-11-23T01:55:43.2515128Z [ RUN ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Double 2022-11-23T01:55:43.2515562Z [ OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Double (0 ms) 2022-11-23T01:55:43.2515976Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Byte 2022-11-23T01:55:43.2516394Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Byte (0 ms) 2022-11-23T01:55:43.2516834Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Char 2022-11-23T01:55:43.2517213Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Char (0 ms) 2022-11-23T01:55:43.2517608Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Short 2022-11-23T01:55:43.2518010Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Short (0 ms) 2022-11-23T01:55:43.2518389Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Int 2022-11-23T01:55:43.2518864Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Int (0 ms) 2022-11-23T01:55:43.2519257Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Long 2022-11-23T01:55:43.2519656Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Long (0 ms) 2022-11-23T01:55:43.2520039Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Float 2022-11-23T01:55:43.2520437Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Float (0 ms) 2022-11-23T01:55:43.2520840Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Double 2022-11-23T01:55:43.2521232Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Double (0 ms) 2022-11-23T01:55:43.2521626Z [ RUN ] TensorIteratorTest.ComparisonLoopBinary_Bool 2022-11-23T01:55:43.2522021Z [ OK ] TensorIteratorTest.ComparisonLoopBinary_Bool (0 ms) 2022-11-23T01:55:43.2522396Z [ RUN ] TensorIteratorTest.SerialLoopSingleThread 2022-11-23T01:55:43.2571539Z [ OK ] TensorIteratorTest.SerialLoopSingleThread (6 ms) 2022-11-23T01:55:43.2572012Z [ RUN ] TensorIteratorTest.InputDType 2022-11-23T01:55:43.2572450Z [ OK ] TensorIteratorTest.InputDType (0 ms) 2022-11-23T01:55:43.2572921Z [ RUN ] TensorIteratorTest.ComputeCommonDTypeInputOnly 2022-11-23T01:55:43.2573468Z [ OK ] TensorIteratorTest.ComputeCommonDTypeInputOnly (0 ms) 2022-11-23T01:55:43.2574034Z [ RUN ] TensorIteratorTest.DoNotComputeCommonDTypeInputOnly 2022-11-23T01:55:43.2574616Z [ OK ] TensorIteratorTest.DoNotComputeCommonDTypeInputOnly (0 ms) 2022-11-23T01:55:43.2575141Z [ RUN ] TensorIteratorTest.FailNonPromotingBinaryOp 2022-11-23T01:55:43.2582295Z [ OK ] TensorIteratorTest.FailNonPromotingBinaryOp (0 ms) 2022-11-23T01:55:43.2583166Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Byte 2022-11-23T01:55:43.2583954Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Byte (0 ms) 2022-11-23T01:55:43.2584426Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Char 2022-11-23T01:55:43.2584856Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Char (0 ms) 2022-11-23T01:55:43.2585290Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Short 2022-11-23T01:55:43.2585706Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Short (0 ms) 2022-11-23T01:55:43.2586126Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Int 2022-11-23T01:55:43.2586548Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Int (0 ms) 2022-11-23T01:55:43.2586963Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Long 2022-11-23T01:55:43.2587371Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Long (0 ms) 2022-11-23T01:55:43.2587790Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Float 2022-11-23T01:55:43.2588352Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Float (0 ms) 2022-11-23T01:55:43.2588767Z [ RUN ] TensorIteratorTest.CpuKernelMultipleOutputs_Double 2022-11-23T01:55:43.2589198Z [ OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Double (0 ms) 2022-11-23T01:55:43.2589598Z [----------] 65 tests from TensorIteratorTest (46 ms total) 2022-11-23T01:55:43.2589768Z 2022-11-23T01:55:43.2589936Z [----------] Global test environment tear-down 2022-11-23T01:55:43.2590296Z [==========] 65 tests from 1 test suite ran. (46 ms total) 2022-11-23T01:55:43.2590555Z [ PASSED ] 65 tests. 2022-11-23T01:55:43.3347826Z + ./Dimname_test 2022-11-23T01:55:43.6533317Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:43.6534067Z [==========] Running 4 tests from 1 test suite. 2022-11-23T01:55:43.6534380Z [----------] Global test environment set-up. 2022-11-23T01:55:43.6534685Z [----------] 4 tests from DimnameTest 2022-11-23T01:55:43.6534984Z [ RUN ] DimnameTest.isValidIdentifier 2022-11-23T01:55:43.6535316Z [ OK ] DimnameTest.isValidIdentifier (0 ms) 2022-11-23T01:55:43.6535609Z [ RUN ] DimnameTest.wildcardName 2022-11-23T01:55:43.6535910Z [ OK ] DimnameTest.wildcardName (0 ms) 2022-11-23T01:55:43.6536216Z [ RUN ] DimnameTest.createNormalName 2022-11-23T01:55:43.6551850Z [ OK ] DimnameTest.createNormalName (1 ms) 2022-11-23T01:55:43.6552395Z [ RUN ] DimnameTest.unifyAndMatch 2022-11-23T01:55:43.6552838Z [ OK ] DimnameTest.unifyAndMatch (0 ms) 2022-11-23T01:55:43.6553161Z [----------] 4 tests from DimnameTest (1 ms total) 2022-11-23T01:55:43.6553311Z 2022-11-23T01:55:43.6553462Z [----------] Global test environment tear-down 2022-11-23T01:55:43.6553772Z [==========] 4 tests from 1 test suite ran. (2 ms total) 2022-11-23T01:55:43.6554038Z [ PASSED ] 4 tests. 2022-11-23T01:55:43.7265015Z + ./Dict_test 2022-11-23T01:55:44.0478147Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:44.0478953Z [==========] Running 47 tests from 2 test suites. 2022-11-23T01:55:44.0479413Z [----------] Global test environment set-up. 2022-11-23T01:55:44.0479891Z [----------] 46 tests from DictTest 2022-11-23T01:55:44.0480408Z [ RUN ] DictTest.givenEmptyDict_whenCallingEmpty_thenReturnsTrue 2022-11-23T01:55:44.0481379Z [ OK ] DictTest.givenEmptyDict_whenCallingEmpty_thenReturnsTrue (0 ms) 2022-11-23T01:55:44.0482056Z [ RUN ] DictTest.givenNonemptyDict_whenCallingEmpty_thenReturnsFalse 2022-11-23T01:55:44.0482753Z [ OK ] DictTest.givenNonemptyDict_whenCallingEmpty_thenReturnsFalse (0 ms) 2022-11-23T01:55:44.0483167Z [ RUN ] DictTest.givenEmptyDict_whenCallingSize_thenReturnsZero 2022-11-23T01:55:44.0483682Z [ OK ] DictTest.givenEmptyDict_whenCallingSize_thenReturnsZero (0 ms) 2022-11-23T01:55:44.0484335Z [ RUN ] DictTest.givenNonemptyDict_whenCallingSize_thenReturnsNumberOfElements 2022-11-23T01:55:44.0485243Z [ OK ] DictTest.givenNonemptyDict_whenCallingSize_thenReturnsNumberOfElements (0 ms) 2022-11-23T01:55:44.0485868Z [ RUN ] DictTest.givenNonemptyDict_whenCallingClear_thenIsEmpty 2022-11-23T01:55:44.0486262Z [ OK ] DictTest.givenNonemptyDict_whenCallingClear_thenIsEmpty (0 ms) 2022-11-23T01:55:44.0486703Z [ RUN ] DictTest.whenInsertingNewKey_thenReturnsTrueAndIteratorToNewElement 2022-11-23T01:55:44.0487181Z [ OK ] DictTest.whenInsertingNewKey_thenReturnsTrueAndIteratorToNewElement (0 ms) 2022-11-23T01:55:44.0487673Z [ RUN ] DictTest.whenInsertingExistingKey_thenReturnsFalseAndIteratorToExistingElement 2022-11-23T01:55:44.0488422Z [ OK ] DictTest.whenInsertingExistingKey_thenReturnsFalseAndIteratorToExistingElement (0 ms) 2022-11-23T01:55:44.0488897Z [ RUN ] DictTest.whenInsertingExistingKey_thenDoesNotModifyDict 2022-11-23T01:55:44.0489319Z [ OK ] DictTest.whenInsertingExistingKey_thenDoesNotModifyDict (0 ms) 2022-11-23T01:55:44.0489779Z [ RUN ] DictTest.whenInsertOrAssigningNewKey_thenReturnsTrueAndIteratorToNewElement 2022-11-23T01:55:44.0490379Z [ OK ] DictTest.whenInsertOrAssigningNewKey_thenReturnsTrueAndIteratorToNewElement (0 ms) 2022-11-23T01:55:44.0490925Z [ RUN ] DictTest.whenInsertOrAssigningExistingKey_thenReturnsFalseAndIteratorToChangedElement 2022-11-23T01:55:44.0491503Z [ OK ] DictTest.whenInsertOrAssigningExistingKey_thenReturnsFalseAndIteratorToChangedElement (0 ms) 2022-11-23T01:55:44.0491993Z [ RUN ] DictTest.whenInsertOrAssigningExistingKey_thenDoesModifyDict 2022-11-23T01:55:44.0492448Z [ OK ] DictTest.whenInsertOrAssigningExistingKey_thenDoesModifyDict (0 ms) 2022-11-23T01:55:44.0492861Z [ RUN ] DictTest.givenEmptyDict_whenIterating_thenBeginIsEnd 2022-11-23T01:55:44.0493239Z [ OK ] DictTest.givenEmptyDict_whenIterating_thenBeginIsEnd (0 ms) 2022-11-23T01:55:44.0493632Z [ RUN ] DictTest.givenMutableDict_whenIterating_thenFindsElements 2022-11-23T01:55:44.0494034Z [ OK ] DictTest.givenMutableDict_whenIterating_thenFindsElements (0 ms) 2022-11-23T01:55:44.0494460Z [ RUN ] DictTest.givenMutableDict_whenIteratingWithForeach_thenFindsElements 2022-11-23T01:55:44.0494898Z [ OK ] DictTest.givenMutableDict_whenIteratingWithForeach_thenFindsElements (0 ms) 2022-11-23T01:55:44.0495309Z [ RUN ] DictTest.givenConstDict_whenIterating_thenFindsElements 2022-11-23T01:55:44.0495701Z [ OK ] DictTest.givenConstDict_whenIterating_thenFindsElements (0 ms) 2022-11-23T01:55:44.0496106Z [ RUN ] DictTest.givenConstDict_whenIteratingWithForeach_thenFindsElements 2022-11-23T01:55:44.0496546Z [ OK ] DictTest.givenConstDict_whenIteratingWithForeach_thenFindsElements (0 ms) 2022-11-23T01:55:44.0496929Z [ RUN ] DictTest.givenIterator_thenCanModifyValue 2022-11-23T01:55:44.0497281Z [ OK ] DictTest.givenIterator_thenCanModifyValue (0 ms) 2022-11-23T01:55:44.0497672Z [ RUN ] DictTest.givenOneElementDict_whenErasingByIterator_thenDictIsEmpty 2022-11-23T01:55:44.0498159Z [ OK ] DictTest.givenOneElementDict_whenErasingByIterator_thenDictIsEmpty (0 ms) 2022-11-23T01:55:44.0498614Z [ RUN ] DictTest.givenOneElementDict_whenErasingByKey_thenReturnsOneAndDictIsEmpty 2022-11-23T01:55:44.0499093Z [ OK ] DictTest.givenOneElementDict_whenErasingByKey_thenReturnsOneAndDictIsEmpty (0 ms) 2022-11-23T01:55:44.0499612Z [ RUN ] DictTest.givenOneElementDict_whenErasingByNonexistingKey_thenReturnsZeroAndDictIsUnchanged 2022-11-23T01:55:44.0500151Z [ OK ] DictTest.givenOneElementDict_whenErasingByNonexistingKey_thenReturnsZeroAndDictIsUnchanged (0 ms) 2022-11-23T01:55:44.0500648Z [ RUN ] DictTest.whenCallingAtWithExistingKey_thenReturnsCorrectElement 2022-11-23T01:55:44.0501109Z [ OK ] DictTest.whenCallingAtWithExistingKey_thenReturnsCorrectElement (0 ms) 2022-11-23T01:55:44.0501562Z [ RUN ] DictTest.whenCallingAtWithNonExistingKey_thenReturnsCorrectElement 2022-11-23T01:55:44.0502038Z [ OK ] DictTest.whenCallingAtWithNonExistingKey_thenReturnsCorrectElement (0 ms) 2022-11-23T01:55:44.0502519Z [ RUN ] DictTest.givenMutableDict_whenCallingFindOnExistingKey_thenFindsCorrectElement 2022-11-23T01:55:44.0503014Z [ OK ] DictTest.givenMutableDict_whenCallingFindOnExistingKey_thenFindsCorrectElement (0 ms) 2022-11-23T01:55:44.0503554Z [ RUN ] DictTest.givenMutableDict_whenCallingFindOnNonExistingKey_thenReturnsEnd 2022-11-23T01:55:44.0504029Z [ OK ] DictTest.givenMutableDict_whenCallingFindOnNonExistingKey_thenReturnsEnd (0 ms) 2022-11-23T01:55:44.0504504Z [ RUN ] DictTest.givenConstDict_whenCallingFindOnExistingKey_thenFindsCorrectElement 2022-11-23T01:55:44.0504994Z [ OK ] DictTest.givenConstDict_whenCallingFindOnExistingKey_thenFindsCorrectElement (0 ms) 2022-11-23T01:55:44.0505485Z [ RUN ] DictTest.givenConstDict_whenCallingFindOnNonExistingKey_thenReturnsEnd 2022-11-23T01:55:44.0505950Z [ OK ] DictTest.givenConstDict_whenCallingFindOnNonExistingKey_thenReturnsEnd (0 ms) 2022-11-23T01:55:44.0506402Z [ RUN ] DictTest.whenCallingContainsWithExistingKey_thenReturnsTrue 2022-11-23T01:55:44.0506843Z [ OK ] DictTest.whenCallingContainsWithExistingKey_thenReturnsTrue (0 ms) 2022-11-23T01:55:44.0507309Z [ RUN ] DictTest.whenCallingContainsWithNonExistingKey_thenReturnsFalse 2022-11-23T01:55:44.0507784Z [ OK ] DictTest.whenCallingContainsWithNonExistingKey_thenReturnsFalse (0 ms) 2022-11-23T01:55:44.0508191Z [ RUN ] DictTest.whenCallingReserve_thenDoesntCrash 2022-11-23T01:55:44.0508543Z [ OK ] DictTest.whenCallingReserve_thenDoesntCrash (0 ms) 2022-11-23T01:55:44.0508916Z [ RUN ] DictTest.whenCopyConstructingDict_thenAreEqual 2022-11-23T01:55:44.0509305Z [ OK ] DictTest.whenCopyConstructingDict_thenAreEqual (0 ms) 2022-11-23T01:55:44.0509667Z [ RUN ] DictTest.whenCopyAssigningDict_thenAreEqual 2022-11-23T01:55:44.0510032Z [ OK ] DictTest.whenCopyAssigningDict_thenAreEqual (0 ms) 2022-11-23T01:55:44.0510377Z [ RUN ] DictTest.whenCopyingDict_thenAreEqual 2022-11-23T01:55:44.0510715Z [ OK ] DictTest.whenCopyingDict_thenAreEqual (0 ms) 2022-11-23T01:55:44.0511069Z [ RUN ] DictTest.whenMoveConstructingDict_thenNewIsCorrect 2022-11-23T01:55:44.0511468Z [ OK ] DictTest.whenMoveConstructingDict_thenNewIsCorrect (0 ms) 2022-11-23T01:55:44.0511852Z [ RUN ] DictTest.whenMoveAssigningDict_thenNewIsCorrect 2022-11-23T01:55:44.0512221Z [ OK ] DictTest.whenMoveAssigningDict_thenNewIsCorrect (0 ms) 2022-11-23T01:55:44.0512612Z [ RUN ] DictTest.whenMoveConstructingDict_thenOldIsUnchanged 2022-11-23T01:55:44.0513019Z [ OK ] DictTest.whenMoveConstructingDict_thenOldIsUnchanged (0 ms) 2022-11-23T01:55:44.0513401Z [ RUN ] DictTest.whenMoveAssigningDict_thenOldIsUnchanged 2022-11-23T01:55:44.0513789Z [ OK ] DictTest.whenMoveAssigningDict_thenOldIsUnchanged (0 ms) 2022-11-23T01:55:44.0514249Z [ RUN ] DictTest.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition 2022-11-23T01:55:44.0514775Z [ OK ] DictTest.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition (0 ms) 2022-11-23T01:55:44.0515278Z [ RUN ] DictTest.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition 2022-11-23T01:55:44.0515792Z [ OK ] DictTest.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition (0 ms) 2022-11-23T01:55:44.0516213Z [ RUN ] DictTest.givenEqualIterators_thenAreEqual 2022-11-23T01:55:44.0516571Z [ OK ] DictTest.givenEqualIterators_thenAreEqual (0 ms) 2022-11-23T01:55:44.0516932Z [ RUN ] DictTest.givenDifferentIterators_thenAreNotEqual 2022-11-23T01:55:44.0517322Z [ OK ] DictTest.givenDifferentIterators_thenAreNotEqual (0 ms) 2022-11-23T01:55:44.0517739Z [ RUN ] DictTest.givenIterator_whenDereferencing_thenPointsToCorrectElement 2022-11-23T01:55:44.0518174Z [ OK ] DictTest.givenIterator_whenDereferencing_thenPointsToCorrectElement (0 ms) 2022-11-23T01:55:44.0518743Z [ RUN ] DictTest.givenIterator_whenWritingToValue_thenChangesValue 2022-11-23T01:55:44.0519157Z [ OK ] DictTest.givenIterator_whenWritingToValue_thenChangesValue (0 ms) 2022-11-23T01:55:44.0519498Z [ RUN ] DictTest.isReferenceType 2022-11-23T01:55:44.0519784Z [ OK ] DictTest.isReferenceType (0 ms) 2022-11-23T01:55:44.0520100Z [ RUN ] DictTest.copyHasSeparateStorage 2022-11-23T01:55:44.0520441Z [ OK ] DictTest.copyHasSeparateStorage (0 ms) 2022-11-23T01:55:44.0520781Z [ RUN ] DictTest.dictTensorAsKey 2022-11-23T01:55:44.0521081Z [ OK ] DictTest.dictTensorAsKey (0 ms) 2022-11-23T01:55:44.0521365Z [ RUN ] DictTest.dictEquality 2022-11-23T01:55:44.0521636Z [ OK ] DictTest.dictEquality (0 ms) 2022-11-23T01:55:44.0521943Z [----------] 46 tests from DictTest (0 ms total) 2022-11-23T01:55:44.0522091Z 2022-11-23T01:55:44.0522264Z [----------] 1 test from ListTest_IValueBasedList 2022-11-23T01:55:44.0522696Z [ RUN ] ListTest_IValueBasedList.givenIterator_whenWritingToValueFromIterator_thenChangesValue 2022-11-23T01:55:44.0523205Z [ OK ] ListTest_IValueBasedList.givenIterator_whenWritingToValueFromIterator_thenChangesValue (0 ms) 2022-11-23T01:55:44.0523635Z [----------] 1 test from ListTest_IValueBasedList (0 ms total) 2022-11-23T01:55:44.0523803Z 2022-11-23T01:55:44.0523970Z [----------] Global test environment tear-down 2022-11-23T01:55:44.0524272Z [==========] 47 tests from 2 test suites ran. (0 ms total) 2022-11-23T01:55:44.0524531Z [ PASSED ] 47 tests. 2022-11-23T01:55:44.1230533Z + ./NamedTensor_test 2022-11-23T01:55:44.4429932Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:44.4430692Z [==========] Running 10 tests from 1 test suite. 2022-11-23T01:55:44.4431105Z [----------] Global test environment set-up. 2022-11-23T01:55:44.4431673Z [----------] 10 tests from NamedTensorTest 2022-11-23T01:55:44.4432067Z [ RUN ] NamedTensorTest.isNamed 2022-11-23T01:55:44.4432808Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator()) 2022-11-23T01:55:44.4433412Z [ OK ] NamedTensorTest.isNamed (0 ms) 2022-11-23T01:55:44.4433731Z [ RUN ] NamedTensorTest.attachMetadata 2022-11-23T01:55:44.4434058Z [ OK ] NamedTensorTest.attachMetadata (0 ms) 2022-11-23T01:55:44.4434409Z [ RUN ] NamedTensorTest.internalSetNamesInplace 2022-11-23T01:55:44.4434776Z [ OK ] NamedTensorTest.internalSetNamesInplace (0 ms) 2022-11-23T01:55:44.4435097Z [ RUN ] NamedTensorTest.empty 2022-11-23T01:55:44.4467269Z [ OK ] NamedTensorTest.empty (3 ms) 2022-11-23T01:55:44.4467872Z [ RUN ] NamedTensorTest.dimnameToPosition 2022-11-23T01:55:44.4472791Z [ OK ] NamedTensorTest.dimnameToPosition (0 ms) 2022-11-23T01:55:44.4473371Z [ RUN ] NamedTensorTest.unifyFromRight 2022-11-23T01:55:44.4541493Z [ OK ] NamedTensorTest.unifyFromRight (6 ms) 2022-11-23T01:55:44.4542000Z [ RUN ] NamedTensorTest.alias 2022-11-23T01:55:44.4542552Z [ OK ] NamedTensorTest.alias (0 ms) 2022-11-23T01:55:44.4542930Z [ RUN ] NamedTensorTest.NoNamesGuard 2022-11-23T01:55:44.4543250Z [ OK ] NamedTensorTest.NoNamesGuard (0 ms) 2022-11-23T01:55:44.4543560Z [ RUN ] NamedTensorTest.TensorNamePrint 2022-11-23T01:55:44.4543893Z [ OK ] NamedTensorTest.TensorNamePrint (0 ms) 2022-11-23T01:55:44.4544243Z [ RUN ] NamedTensorTest.TensorNamesCheckUnique 2022-11-23T01:55:44.4547435Z [ OK ] NamedTensorTest.TensorNamesCheckUnique (0 ms) 2022-11-23T01:55:44.4548081Z [----------] 10 tests from NamedTensorTest (11 ms total) 2022-11-23T01:55:44.4548252Z 2022-11-23T01:55:44.4548419Z [----------] Global test environment tear-down 2022-11-23T01:55:44.4548728Z [==========] 10 tests from 1 test suite ran. (11 ms total) 2022-11-23T01:55:44.4548968Z [ PASSED ] 10 tests. 2022-11-23T01:55:44.5283983Z + ./cpu_generator_test 2022-11-23T01:55:44.8472864Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:44.8473697Z [==========] Running 15 tests from 1 test suite. 2022-11-23T01:55:44.8474095Z [----------] Global test environment set-up. 2022-11-23T01:55:44.8474448Z [----------] 15 tests from CPUGeneratorImpl 2022-11-23T01:55:44.8474943Z [ RUN ] CPUGeneratorImpl.TestGeneratorDynamicCast 2022-11-23T01:55:44.8475568Z [ OK ] CPUGeneratorImpl.TestGeneratorDynamicCast (0 ms) 2022-11-23T01:55:44.8476139Z [ RUN ] CPUGeneratorImpl.TestDefaultGenerator 2022-11-23T01:55:44.8476623Z [ OK ] CPUGeneratorImpl.TestDefaultGenerator (0 ms) 2022-11-23T01:55:44.8476991Z [ RUN ] CPUGeneratorImpl.TestCloning 2022-11-23T01:55:44.8477366Z [ OK ] CPUGeneratorImpl.TestCloning (0 ms) 2022-11-23T01:55:44.8477746Z [ RUN ] CPUGeneratorImpl.TestMultithreadingGetEngineOperator 2022-11-23T01:55:44.8478221Z [ OK ] CPUGeneratorImpl.TestMultithreadingGetEngineOperator (0 ms) 2022-11-23T01:55:44.8478707Z [ RUN ] CPUGeneratorImpl.TestGetSetCurrentSeed 2022-11-23T01:55:44.8479070Z [ OK ] CPUGeneratorImpl.TestGetSetCurrentSeed (0 ms) 2022-11-23T01:55:44.8479487Z [ RUN ] CPUGeneratorImpl.TestMultithreadingGetSetCurrentSeed 2022-11-23T01:55:44.8479948Z [ OK ] CPUGeneratorImpl.TestMultithreadingGetSetCurrentSeed (0 ms) 2022-11-23T01:55:44.8480339Z [ RUN ] CPUGeneratorImpl.TestRNGForking 2022-11-23T01:55:44.8491224Z [ OK ] CPUGeneratorImpl.TestRNGForking (1 ms) 2022-11-23T01:55:44.8491702Z [ RUN ] CPUGeneratorImpl.TestPhiloxEngineReproducibility 2022-11-23T01:55:44.8492143Z [ OK ] CPUGeneratorImpl.TestPhiloxEngineReproducibility (0 ms) 2022-11-23T01:55:44.8492667Z [ RUN ] CPUGeneratorImpl.TestPhiloxEngineOffset1 2022-11-23T01:55:44.8493040Z [ OK ] CPUGeneratorImpl.TestPhiloxEngineOffset1 (0 ms) 2022-11-23T01:55:44.8493480Z [ RUN ] CPUGeneratorImpl.TestPhiloxEngineOffset2 2022-11-23T01:55:44.8493889Z [ OK ] CPUGeneratorImpl.TestPhiloxEngineOffset2 (0 ms) 2022-11-23T01:55:44.8494274Z [ RUN ] CPUGeneratorImpl.TestPhiloxEngineOffset3 2022-11-23T01:55:44.8494831Z [ OK ] CPUGeneratorImpl.TestPhiloxEngineOffset3 (0 ms) 2022-11-23T01:55:44.8495387Z [ RUN ] CPUGeneratorImpl.TestPhiloxEngineIndex 2022-11-23T01:55:44.8495926Z [ OK ] CPUGeneratorImpl.TestPhiloxEngineIndex (0 ms) 2022-11-23T01:55:44.8496343Z [ RUN ] CPUGeneratorImpl.TestMT19937EngineReproducibility 2022-11-23T01:55:44.8496782Z [ OK ] CPUGeneratorImpl.TestMT19937EngineReproducibility (0 ms) 2022-11-23T01:55:44.8497228Z [ RUN ] CPUGeneratorImpl.TestPhiloxEngineReproducibilityRandN 2022-11-23T01:55:44.8497685Z [ OK ] CPUGeneratorImpl.TestPhiloxEngineReproducibilityRandN (0 ms) 2022-11-23T01:55:44.8498106Z [ RUN ] CPUGeneratorImpl.TestPhiloxDeterministic 2022-11-23T01:55:44.8498489Z [ OK ] CPUGeneratorImpl.TestPhiloxDeterministic (0 ms) 2022-11-23T01:55:44.8498845Z [----------] 15 tests from CPUGeneratorImpl (2 ms total) 2022-11-23T01:55:44.8499010Z 2022-11-23T01:55:44.8499175Z [----------] Global test environment tear-down 2022-11-23T01:55:44.8499481Z [==========] 15 tests from 1 test suite ran. (2 ms total) 2022-11-23T01:55:44.8499733Z [ PASSED ] 15 tests. 2022-11-23T01:55:44.9236686Z + ./vmap_test 2022-11-23T01:55:45.2421124Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:45.2421940Z [==========] Running 23 tests from 1 test suite. 2022-11-23T01:55:45.2422260Z [----------] Global test environment set-up. 2022-11-23T01:55:45.2422548Z [----------] 23 tests from VmapTest 2022-11-23T01:55:45.2423007Z [ RUN ] VmapTest.TestBatchedTensor 2022-11-23T01:55:45.2444674Z [ OK ] VmapTest.TestBatchedTensor (2 ms) 2022-11-23T01:55:45.2445519Z [ RUN ] VmapTest.TestBatchedTensorMaxLevel 2022-11-23T01:55:45.2459172Z [ OK ] VmapTest.TestBatchedTensorMaxLevel (1 ms) 2022-11-23T01:55:45.2459781Z [ RUN ] VmapTest.TestBatchedTensorActualDim 2022-11-23T01:55:45.2484093Z [ OK ] VmapTest.TestBatchedTensorActualDim (2 ms) 2022-11-23T01:55:45.2484633Z [ RUN ] VmapTest.TestMultiBatchVmapTransform 2022-11-23T01:55:45.2494170Z [ OK ] VmapTest.TestMultiBatchVmapTransform (1 ms) 2022-11-23T01:55:45.2494799Z [ RUN ] VmapTest.TestVmapPhysicalViewGetPhysicalDim 2022-11-23T01:55:45.2503805Z [ OK ] VmapTest.TestVmapPhysicalViewGetPhysicalDim (0 ms) 2022-11-23T01:55:45.2504421Z [ RUN ] VmapTest.TestVmapPhysicalViewGetPhysicalDims 2022-11-23T01:55:45.2513282Z [ OK ] VmapTest.TestVmapPhysicalViewGetPhysicalDims (0 ms) 2022-11-23T01:55:45.2513975Z [ RUN ] VmapTest.TestVmapPhysicalViewNewLogicalFromPhysical 2022-11-23T01:55:45.2514443Z [ OK ] VmapTest.TestVmapPhysicalViewNewLogicalFromPhysical (0 ms) 2022-11-23T01:55:45.2514811Z [ RUN ] VmapTest.TestBatchedTensorSum 2022-11-23T01:55:45.2517557Z [ OK ] VmapTest.TestBatchedTensorSum (0 ms) 2022-11-23T01:55:45.2518214Z [ RUN ] VmapTest.TestBroadcastingVmapTransformBatchedBatched 2022-11-23T01:55:45.2525167Z [ OK ] VmapTest.TestBroadcastingVmapTransformBatchedBatched (0 ms) 2022-11-23T01:55:45.2525828Z [ RUN ] VmapTest.TestBroadcastingVmapTransformBatchedUnbatched 2022-11-23T01:55:45.2531491Z [ OK ] VmapTest.TestBroadcastingVmapTransformBatchedUnbatched (0 ms) 2022-11-23T01:55:45.2532121Z [ RUN ] VmapTest.TestBroadcastingVmapTransformMaxLevels 2022-11-23T01:55:45.2535953Z [ OK ] VmapTest.TestBroadcastingVmapTransformMaxLevels (0 ms) 2022-11-23T01:55:45.2536557Z [ RUN ] VmapTest.TestBatchedTensorMul 2022-11-23T01:55:45.2538390Z [ OK ] VmapTest.TestBatchedTensorMul (0 ms) 2022-11-23T01:55:45.2538973Z [ RUN ] VmapTest.TestBatchedTensorSize 2022-11-23T01:55:45.2544088Z [ OK ] VmapTest.TestBatchedTensorSize (0 ms) 2022-11-23T01:55:45.2544765Z [ RUN ] VmapTest.TestVmapPhysicalViewGetPhysicalShape 2022-11-23T01:55:45.2545199Z [ OK ] VmapTest.TestVmapPhysicalViewGetPhysicalShape (0 ms) 2022-11-23T01:55:45.2545564Z [ RUN ] VmapTest.TestBatchedTensorExpand 2022-11-23T01:55:45.2676917Z [ OK ] VmapTest.TestBatchedTensorExpand (13 ms) 2022-11-23T01:55:45.2677433Z [ RUN ] VmapTest.TestBatchedTensorUnsqueeze 2022-11-23T01:55:45.2678303Z [ OK ] VmapTest.TestBatchedTensorUnsqueeze (0 ms) 2022-11-23T01:55:45.2678807Z [ RUN ] VmapTest.TestBatchedTensorSqueeze 2022-11-23T01:55:45.2679373Z [ OK ] VmapTest.TestBatchedTensorSqueeze (0 ms) 2022-11-23T01:55:45.2679759Z [ RUN ] VmapTest.TestBatchedTensorTranspose 2022-11-23T01:55:45.2681979Z [ OK ] VmapTest.TestBatchedTensorTranspose (0 ms) 2022-11-23T01:55:45.2682318Z [ RUN ] VmapTest.TestBatchedTensorPermute 2022-11-23T01:55:45.2683979Z [ OK ] VmapTest.TestBatchedTensorPermute (0 ms) 2022-11-23T01:55:45.2684545Z [ RUN ] VmapTest.TestMultiBatchVmapTransformBatchedBatched 2022-11-23T01:55:45.2708854Z [ OK ] VmapTest.TestMultiBatchVmapTransformBatchedBatched (2 ms) 2022-11-23T01:55:45.2709371Z [ RUN ] VmapTest.TestMultiBatchVmapTransformBatchedUnbatched 2022-11-23T01:55:45.2715024Z [ OK ] VmapTest.TestMultiBatchVmapTransformBatchedUnbatched (0 ms) 2022-11-23T01:55:45.2715475Z [ RUN ] VmapTest.TestMultiBatchVmapTransformMaxLevels 2022-11-23T01:55:45.2720181Z [ OK ] VmapTest.TestMultiBatchVmapTransformMaxLevels (0 ms) 2022-11-23T01:55:45.2720636Z [ RUN ] VmapTest.TestMultiBatchVmapTransformMultipleTensors 2022-11-23T01:55:45.2725522Z [ OK ] VmapTest.TestMultiBatchVmapTransformMultipleTensors (0 ms) 2022-11-23T01:55:45.2725930Z [----------] 23 tests from VmapTest (30 ms total) 2022-11-23T01:55:45.2726074Z 2022-11-23T01:55:45.2726243Z [----------] Global test environment tear-down 2022-11-23T01:55:45.2726567Z [==========] 23 tests from 1 test suite ran. (30 ms total) 2022-11-23T01:55:45.2726829Z [ PASSED ] 23 tests. 2022-11-23T01:55:45.3473140Z + ./operators_test 2022-11-23T01:55:45.6664951Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:45.6665605Z [==========] Running 4 tests from 1 test suite. 2022-11-23T01:55:45.6665923Z [----------] Global test environment set-up. 2022-11-23T01:55:45.6666233Z [----------] 4 tests from OperatorsTest 2022-11-23T01:55:45.6666532Z [ RUN ] OperatorsTest.TestFunctionDecltype 2022-11-23T01:55:45.6670790Z [ OK ] OperatorsTest.TestFunctionDecltype (0 ms) 2022-11-23T01:55:45.6671165Z [ RUN ] OperatorsTest.TestMethodOnlyDecltype 2022-11-23T01:55:45.6671604Z [ OK ] OperatorsTest.TestMethodOnlyDecltype (0 ms) 2022-11-23T01:55:45.6671919Z [ RUN ] OperatorsTest.Test_ATEN_FN 2022-11-23T01:55:45.6699820Z [ OK ] OperatorsTest.Test_ATEN_FN (2 ms) 2022-11-23T01:55:45.6700256Z [ RUN ] OperatorsTest.TestOutVariantIsFaithful 2022-11-23T01:55:45.6700746Z [ OK ] OperatorsTest.TestOutVariantIsFaithful (0 ms) 2022-11-23T01:55:45.6701165Z [----------] 4 tests from OperatorsTest (3 ms total) 2022-11-23T01:55:45.6701381Z 2022-11-23T01:55:45.6701549Z [----------] Global test environment tear-down 2022-11-23T01:55:45.6701861Z [==========] 4 tests from 1 test suite ran. (3 ms total) 2022-11-23T01:55:45.6702103Z [ PASSED ] 4 tests. 2022-11-23T01:55:45.7428794Z + [[ -x ./cudnn_test ]] 2022-11-23T01:55:45.7429202Z + [[ -x ./cuda_generator_test ]] 2022-11-23T01:55:45.7429392Z + ./cuda_generator_test 2022-11-23T01:55:46.0628028Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:46.0628700Z [==========] Running 11 tests from 1 test suite. 2022-11-23T01:55:46.0629180Z [----------] Global test environment set-up. 2022-11-23T01:55:46.0629629Z [----------] 11 tests from CUDAGeneratorImpl 2022-11-23T01:55:46.0630197Z [ RUN ] CUDAGeneratorImpl.TestPhiloxEngineReproducibility 2022-11-23T01:55:46.0630870Z [ OK ] CUDAGeneratorImpl.TestPhiloxEngineReproducibility (0 ms) 2022-11-23T01:55:46.0631475Z [ RUN ] CUDAGeneratorImpl.TestPhiloxEngineOffset1 2022-11-23T01:55:46.0632082Z [ OK ] CUDAGeneratorImpl.TestPhiloxEngineOffset1 (0 ms) 2022-11-23T01:55:46.0632713Z [ RUN ] CUDAGeneratorImpl.TestPhiloxEngineOffset2 2022-11-23T01:55:46.0633345Z [ OK ] CUDAGeneratorImpl.TestPhiloxEngineOffset2 (0 ms) 2022-11-23T01:55:46.0633958Z [ RUN ] CUDAGeneratorImpl.TestPhiloxEngineOffset3 2022-11-23T01:55:46.0634570Z [ OK ] CUDAGeneratorImpl.TestPhiloxEngineOffset3 (0 ms) 2022-11-23T01:55:46.0635171Z [ RUN ] CUDAGeneratorImpl.TestPhiloxEngineIndex 2022-11-23T01:55:46.0636055Z [ OK ] CUDAGeneratorImpl.TestPhiloxEngineIndex (0 ms) 2022-11-23T01:55:46.0636654Z [ RUN ] CUDAGeneratorImpl.TestGeneratorDynamicCast 2022-11-23T01:55:46.0637257Z [ OK ] CUDAGeneratorImpl.TestGeneratorDynamicCast (0 ms) 2022-11-23T01:55:46.0637824Z [ RUN ] CUDAGeneratorImpl.TestDefaultGenerator 2022-11-23T01:55:46.0638409Z [ OK ] CUDAGeneratorImpl.TestDefaultGenerator (0 ms) 2022-11-23T01:55:46.0639155Z [ RUN ] CUDAGeneratorImpl.TestCloning 2022-11-23T01:55:46.0639656Z [ OK ] CUDAGeneratorImpl.TestCloning (0 ms) 2022-11-23T01:55:46.0640244Z [ RUN ] CUDAGeneratorImpl.TestMultithreadingGetSetCurrentSeed 2022-11-23T01:55:46.0640947Z [ OK ] CUDAGeneratorImpl.TestMultithreadingGetSetCurrentSeed (0 ms) 2022-11-23T01:55:46.0641524Z [ RUN ] CUDAGeneratorImpl.TestRNGForking 2022-11-23T01:55:46.0642032Z [ OK ] CUDAGeneratorImpl.TestRNGForking (0 ms) 2022-11-23T01:55:46.0642563Z [ RUN ] CUDAGeneratorImpl.TestMultithreadRNG 2022-11-23T01:55:46.0643098Z [ OK ] CUDAGeneratorImpl.TestMultithreadRNG (0 ms) 2022-11-23T01:55:46.0643635Z [----------] 11 tests from CUDAGeneratorImpl (0 ms total) 2022-11-23T01:55:46.0643867Z 2022-11-23T01:55:46.0644121Z [----------] Global test environment tear-down 2022-11-23T01:55:46.0644581Z [==========] 11 tests from 1 test suite ran. (0 ms total) 2022-11-23T01:55:46.0645219Z [ PASSED ] 11 tests. 2022-11-23T01:55:46.1363755Z + [[ -x ./apply_test ]] 2022-11-23T01:55:46.1364236Z + [[ -x ./stream_test ]] 2022-11-23T01:55:46.1364465Z + [[ -x ./cuda_half_test ]] 2022-11-23T01:55:46.1364645Z + ./cuda_half_test 2022-11-23T01:55:46.4554315Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:46.4555135Z [==========] Running 1 test from 1 test suite. 2022-11-23T01:55:46.4555438Z [----------] Global test environment set-up. 2022-11-23T01:55:46.4555733Z [----------] 1 test from HalfCuda 2022-11-23T01:55:46.4555993Z [ RUN ] HalfCuda.HalfCuda 2022-11-23T01:55:46.4556249Z [ OK ] HalfCuda.HalfCuda (0 ms) 2022-11-23T01:55:46.4556537Z [----------] 1 test from HalfCuda (0 ms total) 2022-11-23T01:55:46.4556718Z 2022-11-23T01:55:46.4556918Z [----------] Global test environment tear-down 2022-11-23T01:55:46.4557224Z [==========] 1 test from 1 test suite ran. (0 ms total) 2022-11-23T01:55:46.4557466Z [ PASSED ] 1 test. 2022-11-23T01:55:46.5281600Z + [[ -x ./cuda_vectorized_test ]] 2022-11-23T01:55:46.5281847Z + ./cuda_vectorized_test 2022-11-23T01:55:46.8450257Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:46.8451119Z [==========] Running 2 tests from 1 test suite. 2022-11-23T01:55:46.8451472Z [----------] Global test environment set-up. 2022-11-23T01:55:46.8451808Z [----------] 2 tests from TestVectorizedMemoryAccess 2022-11-23T01:55:46.8452163Z [ RUN ] TestVectorizedMemoryAccess.CanVectorizeUpTo 2022-11-23T01:55:46.8452572Z [ OK ] TestVectorizedMemoryAccess.CanVectorizeUpTo (0 ms) 2022-11-23T01:55:46.8452954Z [ RUN ] TestVectorizedMemoryAccess.CopyKernel 2022-11-23T01:55:46.8453313Z [ OK ] TestVectorizedMemoryAccess.CopyKernel (0 ms) 2022-11-23T01:55:46.8453705Z [----------] 2 tests from TestVectorizedMemoryAccess (0 ms total) 2022-11-23T01:55:46.8453889Z 2022-11-23T01:55:46.8454054Z [----------] Global test environment tear-down 2022-11-23T01:55:46.8454363Z [==========] 2 tests from 1 test suite ran. (0 ms total) 2022-11-23T01:55:46.8454600Z [ PASSED ] 2 tests. 2022-11-23T01:55:46.9175804Z + [[ -x ./cuda_distributions_test ]] 2022-11-23T01:55:46.9176200Z + ./cuda_distributions_test 2022-11-23T01:55:47.2382778Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:47.2383475Z [==========] Running 4 tests from 2 test suites. 2022-11-23T01:55:47.2383780Z [----------] Global test environment set-up. 2022-11-23T01:55:47.2384104Z [----------] 3 tests from DistributionsTest 2022-11-23T01:55:47.2384497Z [ RUN ] DistributionsTest.TestPhiloxIncrementSmallUniformTensor 2022-11-23T01:55:47.2385045Z [ OK ] DistributionsTest.TestPhiloxIncrementSmallUniformTensor (0 ms) 2022-11-23T01:55:47.2385516Z [ RUN ] DistributionsTest.TestPhiloxIncrementBigUniformTensor 2022-11-23T01:55:47.2385983Z [ OK ] DistributionsTest.TestPhiloxIncrementBigUniformTensor (0 ms) 2022-11-23T01:55:47.2386467Z [ RUN ] DistributionsTest.TestPhiloxIncrementSmallMultinomialTensor 2022-11-23T01:55:47.2386963Z [ OK ] DistributionsTest.TestPhiloxIncrementSmallMultinomialTensor (0 ms) 2022-11-23T01:55:47.2387386Z [----------] 3 tests from DistributionsTest (0 ms total) 2022-11-23T01:55:47.2387551Z 2022-11-23T01:55:47.2387721Z [----------] 1 test from RandomPermutationTest 2022-11-23T01:55:47.2388050Z [ RUN ] RandomPermutationTest.TestIslandShuffle 2022-11-23T01:55:47.2388429Z [ OK ] RandomPermutationTest.TestIslandShuffle (0 ms) 2022-11-23T01:55:47.2388803Z [----------] 1 test from RandomPermutationTest (0 ms total) 2022-11-23T01:55:47.2388970Z 2022-11-23T01:55:47.2389135Z [----------] Global test environment tear-down 2022-11-23T01:55:47.2389430Z [==========] 4 tests from 2 test suites ran. (0 ms total) 2022-11-23T01:55:47.2389684Z [ PASSED ] 4 tests. 2022-11-23T01:55:47.3114822Z + [[ -x ./cuda_optional_test ]] 2022-11-23T01:55:47.3115105Z + ./cuda_optional_test 2022-11-23T01:55:47.6339172Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:47.6339995Z [==========] Running 1 test from 1 test suite. 2022-11-23T01:55:47.6340306Z [----------] Global test environment set-up. 2022-11-23T01:55:47.6340601Z [----------] 1 test from OptionalTest 2022-11-23T01:55:47.6340902Z [ RUN ] OptionalTest.OptionalTestCUDA 2022-11-23T01:55:47.6341231Z [ OK ] OptionalTest.OptionalTestCUDA (0 ms) 2022-11-23T01:55:47.6341554Z [----------] 1 test from OptionalTest (0 ms total) 2022-11-23T01:55:47.6341704Z 2022-11-23T01:55:47.6341871Z [----------] Global test environment tear-down 2022-11-23T01:55:47.6342174Z [==========] 1 test from 1 test suite ran. (0 ms total) 2022-11-23T01:55:47.6342413Z [ PASSED ] 1 test. 2022-11-23T01:55:47.7065945Z + [[ -x ./cuda_tensor_interop_test ]] 2022-11-23T01:55:47.7066458Z + [[ -x ./cuda_complex_test ]] 2022-11-23T01:55:47.7066671Z + ./cuda_complex_test 2022-11-23T01:55:48.0274367Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:48.0274878Z [==========] Running 11 tests from 7 test suites. 2022-11-23T01:55:48.0275186Z [----------] Global test environment set-up. 2022-11-23T01:55:48.0275466Z [----------] 2 tests from TestMemory 2022-11-23T01:55:48.0275784Z [ RUN ] TestMemory.ReinterpretCast 2022-11-23T01:55:48.0276099Z [ OK ] TestMemory.ReinterpretCast (0 ms) 2022-11-23T01:55:48.0276429Z [ RUN ] TestMemory.ThrustReinterpretCast 2022-11-23T01:55:48.0276757Z [ OK ] TestMemory.ThrustReinterpretCast (0 ms) 2022-11-23T01:55:48.0277085Z [----------] 2 tests from TestMemory (0 ms total) 2022-11-23T01:55:48.0277232Z 2022-11-23T01:55:48.0277389Z [----------] 2 tests from TestConstructors 2022-11-23T01:55:48.0277669Z [ RUN ] TestConstructors.FromThrust 2022-11-23T01:55:48.0277983Z [ OK ] TestConstructors.FromThrust (0 ms) 2022-11-23T01:55:48.0278581Z [ RUN ] TestConstructors.UnorderedMap 2022-11-23T01:55:48.0278912Z [ OK ] TestConstructors.UnorderedMap (0 ms) 2022-11-23T01:55:48.0279340Z [----------] 2 tests from TestConstructors (0 ms total) 2022-11-23T01:55:48.0279557Z 2022-11-23T01:55:48.0279720Z [----------] 1 test from TestAssignment 2022-11-23T01:55:48.0280001Z [ RUN ] TestAssignment.FromThrust 2022-11-23T01:55:48.0280398Z [ OK ] TestAssignment.FromThrust (0 ms) 2022-11-23T01:55:48.0280922Z [----------] 1 test from TestAssignment (0 ms total) 2022-11-23T01:55:48.0281146Z 2022-11-23T01:55:48.0281394Z [----------] 1 test from TestArithmeticIntScalar 2022-11-23T01:55:48.0281840Z [ RUN ] TestArithmeticIntScalar.All 2022-11-23T01:55:48.0282223Z [ OK ] TestArithmeticIntScalar.All (0 ms) 2022-11-23T01:55:48.0282572Z [----------] 1 test from TestArithmeticIntScalar (0 ms total) 2022-11-23T01:55:48.0282748Z 2022-11-23T01:55:48.0282881Z [----------] 1 test from TestIO 2022-11-23T01:55:48.0283105Z [ RUN ] TestIO.All 2022-11-23T01:55:48.0283362Z [ OK ] TestIO.All (0 ms) 2022-11-23T01:55:48.0283632Z [----------] 1 test from TestIO (0 ms total) 2022-11-23T01:55:48.0283771Z 2022-11-23T01:55:48.0283889Z [----------] 1 test from TestStd 2022-11-23T01:55:48.0284154Z [ RUN ] TestStd.BasicFunctions 2022-11-23T01:55:48.0284444Z [ OK ] TestStd.BasicFunctions (0 ms) 2022-11-23T01:55:48.0284727Z [----------] 1 test from TestStd (0 ms total) 2022-11-23T01:55:48.0285142Z 2022-11-23T01:55:48.0285328Z [----------] 3 tests from DeviceTests 2022-11-23T01:55:48.0285620Z [ RUN ] DeviceTests.ThrustConversion 2022-11-23T01:55:48.0285942Z [ OK ] DeviceTests.ThrustConversion (0 ms) 2022-11-23T01:55:48.0286231Z [ RUN ] DeviceTests.StdFunctions 2022-11-23T01:55:48.0286536Z [ OK ] DeviceTests.StdFunctions (0 ms) 2022-11-23T01:55:48.0286841Z [ RUN ] DeviceTests.ReinterpretCast 2022-11-23T01:55:48.0287148Z [ OK ] DeviceTests.ReinterpretCast (0 ms) 2022-11-23T01:55:48.0287471Z [----------] 3 tests from DeviceTests (0 ms total) 2022-11-23T01:55:48.0287621Z 2022-11-23T01:55:48.0287786Z [----------] Global test environment tear-down 2022-11-23T01:55:48.0288102Z [==========] 11 tests from 7 test suites ran. (0 ms total) 2022-11-23T01:55:48.0288350Z [ PASSED ] 11 tests. 2022-11-23T01:55:48.1024951Z + [[ -x ./cuda_complex_math_test ]] 2022-11-23T01:55:48.1025182Z + ./cuda_complex_math_test 2022-11-23T01:55:48.4201529Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:48.4202434Z [==========] Running 24 tests from 22 test suites. 2022-11-23T01:55:48.4202924Z [----------] Global test environment set-up. 2022-11-23T01:55:48.4203459Z [----------] 2 tests from TestExponentialDevice 2022-11-23T01:55:48.4203883Z [ RUN ] TestExponentialDevice.IPi 2022-11-23T01:55:48.4204375Z [ OK ] TestExponentialDevice.IPi (0 ms) 2022-11-23T01:55:48.4205082Z [ RUN ] TestExponentialDevice.EulerFormula 2022-11-23T01:55:48.4205640Z [ OK ] TestExponentialDevice.EulerFormula (0 ms) 2022-11-23T01:55:48.4206233Z [----------] 2 tests from TestExponentialDevice (0 ms total) 2022-11-23T01:55:48.4206560Z 2022-11-23T01:55:48.4206828Z [----------] 1 test from TestLogDevice 2022-11-23T01:55:48.4207318Z [ RUN ] TestLogDevice.Definition 2022-11-23T01:55:48.4207845Z [ OK ] TestLogDevice.Definition (0 ms) 2022-11-23T01:55:48.4208327Z [----------] 1 test from TestLogDevice (0 ms total) 2022-11-23T01:55:48.4208611Z 2022-11-23T01:55:48.4208890Z [----------] 1 test from TestLog10Device 2022-11-23T01:55:48.4209428Z [ RUN ] TestLog10Device.Rev 2022-11-23T01:55:48.4209705Z [ OK ] TestLog10Device.Rev (0 ms) 2022-11-23T01:55:48.4210015Z [----------] 1 test from TestLog10Device (0 ms total) 2022-11-23T01:55:48.4210171Z 2022-11-23T01:55:48.4210318Z [----------] 1 test from TestLog2Device 2022-11-23T01:55:48.4210570Z [ RUN ] TestLog2Device.Rev 2022-11-23T01:55:48.4210842Z [ OK ] TestLog2Device.Rev (0 ms) 2022-11-23T01:55:48.4211212Z [----------] 1 test from TestLog2Device (0 ms total) 2022-11-23T01:55:48.4211363Z 2022-11-23T01:55:48.4211507Z [----------] 1 test from TestPowSqrtDevice 2022-11-23T01:55:48.4211789Z [ RUN ] TestPowSqrtDevice.Equal 2022-11-23T01:55:48.4212079Z [ OK ] TestPowSqrtDevice.Equal (0 ms) 2022-11-23T01:55:48.4212388Z [----------] 1 test from TestPowSqrtDevice (0 ms total) 2022-11-23T01:55:48.4212550Z 2022-11-23T01:55:48.4212699Z [----------] 1 test from TestPowDevice 2022-11-23T01:55:48.4212971Z [ RUN ] TestPowDevice.Square 2022-11-23T01:55:48.4213253Z [ OK ] TestPowDevice.Square (0 ms) 2022-11-23T01:55:48.4213546Z [----------] 1 test from TestPowDevice (0 ms total) 2022-11-23T01:55:48.4213728Z 2022-11-23T01:55:48.4213903Z [----------] 1 test from TestSinCosSinhCoshDevice 2022-11-23T01:55:48.4214227Z [ RUN ] TestSinCosSinhCoshDevice.Identity 2022-11-23T01:55:48.4214572Z [ OK ] TestSinCosSinhCoshDevice.Identity (0 ms) 2022-11-23T01:55:48.4214921Z [----------] 1 test from TestSinCosSinhCoshDevice (0 ms total) 2022-11-23T01:55:48.4215099Z 2022-11-23T01:55:48.4215243Z [----------] 1 test from TestTanDevice 2022-11-23T01:55:48.4215518Z [ RUN ] TestTanDevice.Identity 2022-11-23T01:55:48.4215806Z [ OK ] TestTanDevice.Identity (0 ms) 2022-11-23T01:55:48.4216101Z [----------] 1 test from TestTanDevice (0 ms total) 2022-11-23T01:55:48.4216255Z 2022-11-23T01:55:48.4216401Z [----------] 1 test from TestTanhDevice 2022-11-23T01:55:48.4216672Z [ RUN ] TestTanhDevice.Identity 2022-11-23T01:55:48.4216951Z [ OK ] TestTanhDevice.Identity (0 ms) 2022-11-23T01:55:48.4217264Z [----------] 1 test from TestTanhDevice (0 ms total) 2022-11-23T01:55:48.4217414Z 2022-11-23T01:55:48.4217593Z [----------] 1 test from TestRevTrigonometricDevice 2022-11-23T01:55:48.4217914Z [ RUN ] TestRevTrigonometricDevice.Rev 2022-11-23T01:55:48.4218227Z [ OK ] TestRevTrigonometricDevice.Rev (0 ms) 2022-11-23T01:55:48.4218589Z [----------] 1 test from TestRevTrigonometricDevice (0 ms total) 2022-11-23T01:55:48.4218768Z 2022-11-23T01:55:48.4218939Z [----------] 1 test from TestRevHyperbolicDevice 2022-11-23T01:55:48.4219233Z [ RUN ] TestRevHyperbolicDevice.Rev 2022-11-23T01:55:48.4219548Z [ OK ] TestRevHyperbolicDevice.Rev (0 ms) 2022-11-23T01:55:48.4219897Z [----------] 1 test from TestRevHyperbolicDevice (0 ms total) 2022-11-23T01:55:48.4220069Z 2022-11-23T01:55:48.4220219Z [----------] 2 tests from TestExponentialHost 2022-11-23T01:55:48.4220506Z [ RUN ] TestExponentialHost.IPi 2022-11-23T01:55:48.4220799Z [ OK ] TestExponentialHost.IPi (0 ms) 2022-11-23T01:55:48.4221111Z [ RUN ] TestExponentialHost.EulerFormula 2022-11-23T01:55:48.4221439Z [ OK ] TestExponentialHost.EulerFormula (0 ms) 2022-11-23T01:55:48.4221790Z [----------] 2 tests from TestExponentialHost (0 ms total) 2022-11-23T01:55:48.4221955Z 2022-11-23T01:55:48.4222095Z [----------] 1 test from TestLogHost 2022-11-23T01:55:48.4222350Z [ RUN ] TestLogHost.Definition 2022-11-23T01:55:48.4222635Z [ OK ] TestLogHost.Definition (0 ms) 2022-11-23T01:55:48.4222937Z [----------] 1 test from TestLogHost (0 ms total) 2022-11-23T01:55:48.4223125Z 2022-11-23T01:55:48.4223272Z [----------] 1 test from TestLog10Host 2022-11-23T01:55:48.4223519Z [ RUN ] TestLog10Host.Rev 2022-11-23T01:55:48.4223786Z [ OK ] TestLog10Host.Rev (0 ms) 2022-11-23T01:55:48.4224084Z [----------] 1 test from TestLog10Host (0 ms total) 2022-11-23T01:55:48.4224220Z 2022-11-23T01:55:48.4224362Z [----------] 1 test from TestLog2Host 2022-11-23T01:55:48.4224657Z [ RUN ] TestLog2Host.Rev 2022-11-23T01:55:48.4224921Z [ OK ] TestLog2Host.Rev (0 ms) 2022-11-23T01:55:48.4225204Z [----------] 1 test from TestLog2Host (0 ms total) 2022-11-23T01:55:48.4225353Z 2022-11-23T01:55:48.4225502Z [----------] 1 test from TestPowSqrtHost 2022-11-23T01:55:48.4225782Z [ RUN ] TestPowSqrtHost.Equal 2022-11-23T01:55:48.4226065Z [ OK ] TestPowSqrtHost.Equal (0 ms) 2022-11-23T01:55:48.4226366Z [----------] 1 test from TestPowSqrtHost (0 ms total) 2022-11-23T01:55:48.4226518Z 2022-11-23T01:55:48.4226658Z [----------] 1 test from TestPowHost 2022-11-23T01:55:48.4226921Z [ RUN ] TestPowHost.Square 2022-11-23T01:55:48.4227177Z [ OK ] TestPowHost.Square (0 ms) 2022-11-23T01:55:48.4227471Z [----------] 1 test from TestPowHost (0 ms total) 2022-11-23T01:55:48.4227616Z 2022-11-23T01:55:48.4227784Z [----------] 1 test from TestSinCosSinhCoshHost 2022-11-23T01:55:48.4228086Z [ RUN ] TestSinCosSinhCoshHost.Identity 2022-11-23T01:55:48.4228417Z [ OK ] TestSinCosSinhCoshHost.Identity (0 ms) 2022-11-23T01:55:48.4228765Z [----------] 1 test from TestSinCosSinhCoshHost (0 ms total) 2022-11-23T01:55:48.4228934Z 2022-11-23T01:55:48.4229072Z [----------] 1 test from TestTanHost 2022-11-23T01:55:48.4229322Z [ RUN ] TestTanHost.Identity 2022-11-23T01:55:48.4229597Z [ OK ] TestTanHost.Identity (0 ms) 2022-11-23T01:55:48.4229899Z [----------] 1 test from TestTanHost (0 ms total) 2022-11-23T01:55:48.4230044Z 2022-11-23T01:55:48.4230173Z [----------] 1 test from TestTanhHost 2022-11-23T01:55:48.4230439Z [ RUN ] TestTanhHost.Identity 2022-11-23T01:55:48.4230721Z [ OK ] TestTanhHost.Identity (0 ms) 2022-11-23T01:55:48.4231011Z [----------] 1 test from TestTanhHost (0 ms total) 2022-11-23T01:55:48.4231160Z 2022-11-23T01:55:48.4231333Z [----------] 1 test from TestRevTrigonometricHost 2022-11-23T01:55:48.4231641Z [ RUN ] TestRevTrigonometricHost.Rev 2022-11-23T01:55:48.4231959Z [ OK ] TestRevTrigonometricHost.Rev (0 ms) 2022-11-23T01:55:48.4232293Z [----------] 1 test from TestRevTrigonometricHost (0 ms total) 2022-11-23T01:55:48.4232464Z 2022-11-23T01:55:48.4232630Z [----------] 1 test from TestRevHyperbolicHost 2022-11-23T01:55:48.4232925Z [ RUN ] TestRevHyperbolicHost.Rev 2022-11-23T01:55:48.4233214Z [ OK ] TestRevHyperbolicHost.Rev (0 ms) 2022-11-23T01:55:48.4233547Z [----------] 1 test from TestRevHyperbolicHost (0 ms total) 2022-11-23T01:55:48.4233713Z 2022-11-23T01:55:48.4233874Z [----------] Global test environment tear-down 2022-11-23T01:55:48.4234182Z [==========] 24 tests from 22 test suites ran. (0 ms total) 2022-11-23T01:55:48.4234426Z [ PASSED ] 24 tests. 2022-11-23T01:55:48.4941215Z + [[ -x ./cuda_cub_test ]] 2022-11-23T01:55:48.4941427Z + ./cuda_cub_test 2022-11-23T01:55:48.8134573Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:48.8135384Z [==========] Running 3 tests from 3 test suites. 2022-11-23T01:55:48.8135809Z [----------] Global test environment set-up. 2022-11-23T01:55:48.8136092Z [----------] 1 test from NumBits 2022-11-23T01:55:48.8136342Z [ RUN ] NumBits.CubTest 2022-11-23T01:55:48.8136803Z [ OK ] NumBits.CubTest (0 ms) 2022-11-23T01:55:48.8137079Z [----------] 1 test from NumBits (0 ms total) 2022-11-23T01:55:48.8137224Z 2022-11-23T01:55:48.8137382Z [----------] 1 test from InclusiveScanSplit 2022-11-23T01:55:48.8137678Z [ RUN ] InclusiveScanSplit.CubTest 2022-11-23T01:55:48.8137987Z [ OK ] InclusiveScanSplit.CubTest (0 ms) 2022-11-23T01:55:48.8138307Z [----------] 1 test from InclusiveScanSplit (0 ms total) 2022-11-23T01:55:48.8138534Z 2022-11-23T01:55:48.8138692Z [----------] 1 test from ExclusiveScanSplit 2022-11-23T01:55:48.8138982Z [ RUN ] ExclusiveScanSplit.CubTest 2022-11-23T01:55:48.8139276Z [ OK ] ExclusiveScanSplit.CubTest (0 ms) 2022-11-23T01:55:48.8139605Z [----------] 1 test from ExclusiveScanSplit (0 ms total) 2022-11-23T01:55:48.8139762Z 2022-11-23T01:55:48.8139925Z [----------] Global test environment tear-down 2022-11-23T01:55:48.8140235Z [==========] 3 tests from 3 test suites ran. (0 ms total) 2022-11-23T01:55:48.8140478Z [ PASSED ] 3 tests. 2022-11-23T01:55:48.8865082Z + [[ -x ./cuda_atomic_ops_test ]] 2022-11-23T01:55:48.8865321Z + ./cuda_atomic_ops_test 2022-11-23T01:55:49.2091472Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:55:49.2092146Z [==========] Running 4 tests from 1 test suite. 2022-11-23T01:55:49.2092492Z [----------] Global test environment set-up. 2022-11-23T01:55:49.2092801Z [----------] 4 tests from TestAtomicOps 2022-11-23T01:55:49.2093104Z [ RUN ] TestAtomicOps.TestAtomicAdd 2022-11-23T01:55:49.2093455Z [ OK ] TestAtomicOps.TestAtomicAdd (0 ms) 2022-11-23T01:55:49.2093762Z [ RUN ] TestAtomicOps.TestAtomicMul 2022-11-23T01:55:49.2094127Z [ OK ] TestAtomicOps.TestAtomicMul (0 ms) 2022-11-23T01:55:49.2094437Z [ RUN ] TestAtomicOps.TestAtomicMax 2022-11-23T01:55:49.2094788Z [ OK ] TestAtomicOps.TestAtomicMax (0 ms) 2022-11-23T01:55:49.2095100Z [ RUN ] TestAtomicOps.TestAtomicMin 2022-11-23T01:55:49.2095427Z [ OK ] TestAtomicOps.TestAtomicMin (0 ms) 2022-11-23T01:55:49.2095776Z [----------] 4 tests from TestAtomicOps (0 ms total) 2022-11-23T01:55:49.2095933Z 2022-11-23T01:55:49.2096097Z [----------] Global test environment tear-down 2022-11-23T01:55:49.2096466Z [==========] 4 tests from 1 test suite ran. (0 ms total) 2022-11-23T01:55:49.2096709Z [ PASSED ] 4 tests. 2022-11-23T01:55:49.2817586Z + '[' ON == ON ']' 2022-11-23T01:55:49.2818280Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 ./basic '--gtest_filter=-*CUDA' 2022-11-23T01:55:49.3194161Z ==18881== Memcheck, a memory error detector 2022-11-23T01:55:49.3194897Z ==18881== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al. 2022-11-23T01:55:49.3195320Z ==18881== Using Valgrind-3.16.1 and LibVEX; rerun with -h for copyright info 2022-11-23T01:55:49.3195648Z ==18881== Command: ./basic --gtest_filter=-*CUDA 2022-11-23T01:55:49.3195836Z ==18881== 2022-11-23T01:55:52.5516590Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5517990Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5518743Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5519329Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5519921Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5520480Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5521027Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5521612Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5522472Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5523001Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5523573Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5524103Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5524648Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5525446Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5526105Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5526618Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5527184Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5527738Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5528231Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5528809Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5529365Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5529870Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5530440Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5530976Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5531448Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5532029Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5532575Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5533113Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5533676Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5534231Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5534755Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5535323Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5535862Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5536380Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5536942Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5537492Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5538018Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5538763Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5539364Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5539891Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5540453Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5541006Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5541531Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5542108Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5542649Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5543154Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5543716Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5544258Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5544778Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5545380Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5545906Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5546420Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5547000Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5547697Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5548185Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5548677Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5549124Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5549574Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5550089Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5550739Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5551168Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5551668Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5552153Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5552580Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5553077Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5553604Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5554124Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5554738Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5555317Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5555861Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5556471Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5557045Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5557588Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5558193Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5558872Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5559423Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5560033Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5560616Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5561158Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5561765Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5562342Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5562890Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5563507Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5564079Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5564627Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5565463Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5566039Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5566592Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5567217Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5567813Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5568335Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5568930Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5569498Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5570002Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5570598Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5571170Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5571691Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5572286Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5572994Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5573560Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5574170Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5574759Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5575303Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5575915Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5576599Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5577146Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5577764Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5578345Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5578900Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5579525Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5580096Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5580653Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5581282Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5581857Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5582413Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5583038Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5583637Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5584184Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5584809Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5585398Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5585938Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5586526Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5587079Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5587605Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5588188Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5588750Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5589311Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5589913Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5590505Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5591049Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5591659Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5592253Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5592815Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5593424Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5594011Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5594554Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5595188Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5595765Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5596321Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5596941Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5597522Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5598071Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5598860Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5616329Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5617060Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5617686Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5618223Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5618741Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5619289Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5619883Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5620431Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5621048Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5621583Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5621986Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5622533Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5623121Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5623644Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5624247Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5624830Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5625363Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5625985Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5626567Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5627111Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5627726Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5628310Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5628857Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5629472Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5630019Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5630556Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5631154Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5631737Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5632290Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5632913Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5633487Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5634034Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5634646Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5635213Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5635758Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5636372Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5636936Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5637476Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5638084Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5638760Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5639300Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5639915Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5640493Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5641021Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5641640Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5642312Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5642850Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5643469Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5644049Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5644590Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5645376Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5645962Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5646510Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5647111Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5647688Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5648233Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5648844Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5649419Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5649964Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5650575Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5651138Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5651674Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5652288Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5652848Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5653387Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5654005Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5654576Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5655100Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5655719Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5656300Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5656826Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5657445Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5658034Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5658575Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5659195Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5659779Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5660312Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5660925Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5661509Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5662060Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5662665Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5663246Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5663791Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5664393Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5664980Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5665526Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5666126Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5666711Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5667254Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5667867Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5668539Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5669092Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5669714Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5670290Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5670842Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5671513Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5672083Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5672625Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5673245Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5673832Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5674365Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5674976Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5675558Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5676086Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5676691Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5677275Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5677809Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5678416Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5679076Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5679614Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5680217Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5680796Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5681347Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5681942Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5682523Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5683071Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5683667Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5684242Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5684911Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5685524Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5686097Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5686642Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5687259Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5687834Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5688379Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5688994Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5689578Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5690109Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5690728Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5691312Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5691839Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5692442Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5693022Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5693556Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5694255Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5694840Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5695385Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5695986Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5696570Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5697110Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5697762Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5698336Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5698877Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5699483Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5700062Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5700597Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5701215Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5701780Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5702493Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5703106Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5703674Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5704222Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5704839Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5705413Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5705959Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5706576Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5707151Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5707683Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5708298Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5708892Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5709425Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5710044Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5710631Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5711170Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5711792Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5712377Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5712925Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5713531Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5714118Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5714666Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5715268Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5715853Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5716397Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5717000Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5717588Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5718130Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5718819Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5719395Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5719938Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5720624Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5721203Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5721755Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5722377Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5722946Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5723491Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5724161Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5724869Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5725414Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5726039Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5726626Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5727159Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5727777Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5728365Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5728896Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5729509Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5730087Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5730638Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5731241Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5731822Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5732364Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5732957Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5733533Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5734079Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5734676Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5735256Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5735795Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5736409Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5736979Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5737518Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5738133Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5738698Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5739242Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5739859Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5740433Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5740974Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5741587Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5742164Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5742698Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5743310Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5743890Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5744421Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5745031Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5745609Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5746146Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5746855Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5747449Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5747999Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5748609Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5749195Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5749742Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5750406Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5751000Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5751549Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5752153Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5752736Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5753288Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5753891Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5754475Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5755021Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5755627Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5756212Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5756761Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5757379Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5757946Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5758561Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5759184Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5759753Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5760306Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5760934Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5761507Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5762053Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5762675Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5763260Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5763790Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5764409Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5765114Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5765648Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5766264Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5766854Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5767396Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5768025Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5768610Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5769154Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5769766Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5770351Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5770897Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5771501Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5772095Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5772643Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5773336Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5773923Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5774469Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5775090Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5775657Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5776205Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5776902Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5777470Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5778013Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5778626Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5779212Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5779742Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5780366Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5780949Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5781484Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5782105Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5782686Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5783220Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5783847Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5784430Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5784977Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5785609Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5786192Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5786739Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5787341Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5787920Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5788466Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5789068Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5789648Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5790196Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5790815Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5791382Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5791932Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5792549Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5793115Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5793663Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5794286Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5794854Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5795400Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5796017Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5796604Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5797137Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5797748Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5798321Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5798919Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5799600Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5800184Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5800713Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5801333Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5801913Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5802503Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5803106Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5803693Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5804237Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5804960Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5805546Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5806098Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5806705Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5807287Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5807829Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5808448Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5809011Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5809563Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5810185Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5810752Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5811297Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5811912Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5812481Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5813022Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5813639Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5814222Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5814753Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5815366Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5815952Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5816479Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5817091Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5817669Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5818194Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5818811Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5819394Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5819940Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5820534Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5821110Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5821652Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5822255Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5822829Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5823372Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5823973Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5824550Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5825093Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5825801Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5826366Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5826912Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5827526Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5828095Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5828697Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5829312Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5829879Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5830422Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5831038Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5831614Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5832142Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5832760Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5833342Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5833865Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5834479Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5835062Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5835591Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5836206Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5836784Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5837328Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5837933Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5838608Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5839155Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5839761Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5840347Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5840891Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5841498Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5842084Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5842625Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5843242Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5843811Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5844349Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5845090Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5845656Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5846198Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5846817Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5847382Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5847924Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5848543Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5849126Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5849646Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5850258Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5850837Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5851366Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5852070Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5852650Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5853180Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5853796Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5854374Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.5854979Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.5855568Z --18881-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29: 2022-11-23T01:55:52.5856097Z --18881-- parse_CU_Header: is neither DWARF2 nor DWARF3 nor DWARF4 2022-11-23T01:55:52.6770557Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6771235Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6771719Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6772047Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6772381Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6772689Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6772997Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6773325Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6773633Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6773936Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6774260Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6774561Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6774861Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6775187Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6775504Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6775791Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6776114Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6776430Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6776717Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6777040Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6777359Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6784483Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6785148Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6785741Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6786265Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6786838Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6787415Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6787979Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6788503Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6788896Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6789366Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6789902Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6790380Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6790907Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6791489Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6792027Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6792577Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6793440Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6793973Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6794530Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6795117Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6795720Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6796244Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6796945Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6797539Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6798043Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6798751Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6799293Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6799865Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6800362Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6800685Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6800984Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6801338Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6801814Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6802383Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6802928Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6803457Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6803984Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6804532Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6805227Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6805762Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6806325Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6806878Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6807416Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6808020Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6808653Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6809171Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6809773Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6810306Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6810808Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6811337Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6811871Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6812389Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6812935Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6813515Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6814009Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6814567Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6815150Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6815670Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6816210Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6816722Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6817252Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6817842Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6818544Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6819079Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6819648Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6820207Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6820768Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6821376Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6822020Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6822568Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6822948Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6823266Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6823555Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6823887Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6824203Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6824488Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6824811Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6825128Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6825425Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6825739Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6826055Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6826352Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6826669Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6826980Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6827276Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6827590Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6827900Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6828197Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6828524Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6828824Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6829127Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6829452Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6829752Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6830050Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6830373Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6830672Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6830971Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6831292Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6831594Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6831891Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6832213Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6832521Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6832812Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6833131Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6833450Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6833742Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6834113Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6834427Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6834770Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6835170Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6835484Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6835855Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6836179Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6836532Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6836820Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6837144Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6837457Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6837743Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6838065Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6838380Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6838765Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6839093Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6839408Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6839696Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6840018Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6840338Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6840635Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6840944Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6841256Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6841554Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6841862Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6842175Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6842474Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6842781Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6843091Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6843389Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6843716Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6844015Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6844314Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6844639Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6845046Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6845347Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6845675Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6845995Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6846299Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6846622Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6846937Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6847224Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6847552Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6847862Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6848149Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6848474Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6848786Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6849074Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6849460Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6849779Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6850082Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6850396Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6850714Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6851060Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6851374Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6851683Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6851984Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6852294Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6852610Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6852921Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6853246Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6853546Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6853846Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6854170Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6854469Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6854771Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6855093Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6855393Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6855694Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6856015Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6856328Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6856616Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6856939Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6857251Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6857538Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6857861Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6858175Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6858463Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6858784Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6859097Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6859382Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6859701Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6860015Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6860312Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6860624Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6860933Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6861230Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6861544Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6861856Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6862154Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6862469Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6862777Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6863075Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6863398Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6863732Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6864037Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6864363Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6864659Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6864957Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6865314Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6865612Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6865911Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6866239Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6866547Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6866834Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6867155Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6867465Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6867750Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6868072Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6868379Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6868662Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6868985Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6869296Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6869594Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6869903Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6870216Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6870512Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6870825Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6871133Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6871429Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6871741Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6872055Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6872355Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6872678Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6872979Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6873283Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6873609Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6873910Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6874209Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6874534Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6874834Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6875132Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6875453Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6875763Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6876053Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6876375Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6876685Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6876969Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6877287Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6877634Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6877922Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6878246Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6878645Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6878936Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6879262Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6879620Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6879918Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6880230Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6880537Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6880834Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6881144Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6881461Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6881763Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6882072Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6882385Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6882687Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6883010Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6883312Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6883608Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6883928Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6884225Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6884522Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6885009Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6885332Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6885630Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6885953Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6886272Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6886560Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6886888Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6887198Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6887478Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6887796Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6888108Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6888394Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6888724Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6889037Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6889333Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6889642Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6889953Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6890256Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6890566Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6890873Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6891171Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6891479Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6891797Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6892177Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6892515Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6892825Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6893130Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6893466Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6893769Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6894150Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6894476Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6894778Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6895078Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6895402Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6895697Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6895998Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6896326Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6896638Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6896925Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6897250Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6897567Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:52.6897853Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:52.6898179Z --18881-- When reading debug info from /opt/conda/lib/libgcc_s.so.1: 2022-11-23T01:55:52.6898526Z --18881-- parse_CU_Header: is neither DWARF2 nor DWARF3 nor DWARF4 2022-11-23T01:55:53.0134409Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0135098Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0135469Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0135767Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0136115Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0136444Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0136736Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0137073Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0137400Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0137703Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0138030Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0138348Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0143091Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0144066Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0144519Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0145046Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0145421Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0145735Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0146042Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0146384Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0146695Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0146997Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0147330Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0147652Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0148056Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0148596Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0148922Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0149233Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0149567Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0149885Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0150242Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0150572Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0150889Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0151173Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0151510Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0151829Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0152132Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0152448Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0152764Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0153063Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0153380Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0153693Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0154010Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0154345Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0154649Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0155004Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0155343Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0155781Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0156148Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0156487Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0156788Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0157144Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0157471Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0157836Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0158125Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0158566Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0158890Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0159241Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0159582Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0159928Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0160247Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0160583Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0160960Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0165646Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0166225Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0166565Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0166871Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0167194Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0167522Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0167821Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0168271Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0168586Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0168889Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0169227Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0169547Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0169848Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0170237Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0170542Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0170847Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0171180Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0171496Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0171787Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0172121Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0172439Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0172728Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0173058Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0173373Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0173661Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0174001Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0174314Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0180673Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0181546Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0182198Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0182525Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0182879Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0183197Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0183501Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0183835Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0184145Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0184446Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0184778Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0185140Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0185458Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0185790Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0186108Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0186397Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0186727Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0187042Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0187329Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0187661Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0187983Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0188271Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0188606Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0188920Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0189222Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0189659Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0189977Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0190280Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0190601Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0190920Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0191222Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0191584Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0191910Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0192214Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0192546Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0192856Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0193157Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0193492Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0193802Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0194105Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0194443Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0194748Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0195053Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0195378Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0195698Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0195983Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0196312Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0196631Z --18881-- Ignoring non-Dwarf2/3/4 block in .debug_info 2022-11-23T01:55:53.0196923Z --18881-- WARNING: Serious error when reading debug info 2022-11-23T01:55:53.0197251Z --18881-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0: 2022-11-23T01:55:53.0197606Z --18881-- parse_CU_Header: is neither DWARF2 nor DWARF3 nor DWARF4 2022-11-23T01:55:53.9887038Z ==18881== Warning: set address range perms: large range [0x59eb4000, 0x6ed02000) (defined) 2022-11-23T01:56:36.7256159Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T01:56:36.7459798Z Note: Google Test filter = -*CUDA 2022-11-23T01:56:36.7513546Z [==========] Running 4 tests from 1 test suite. 2022-11-23T01:56:36.7538894Z [----------] Global test environment set-up. 2022-11-23T01:56:36.7575743Z [----------] 4 tests from BasicTest 2022-11-23T01:56:36.7593556Z [ RUN ] BasicTest.BasicTestCPU 2022-11-23T01:56:37.9028638Z 339 ms 2022-11-23T01:56:42.6652382Z 4741 ms 2022-11-23T01:56:49.2893921Z 6616 ms 2022-11-23T01:56:49.9292590Z [ OK ] BasicTest.BasicTestCPU (13167 ms) 2022-11-23T01:56:49.9298462Z [ RUN ] BasicTest.BasicTestHalfCPU 2022-11-23T01:56:50.1224056Z 137 ms 2022-11-23T01:56:55.1669552Z 5036 ms 2022-11-23T01:57:02.0694751Z 6898 ms 2022-11-23T01:57:02.1841321Z [ OK ] BasicTest.BasicTestHalfCPU (12253 ms) 2022-11-23T01:57:02.1841926Z [ RUN ] BasicTest.FactoryMethodsTest 2022-11-23T01:57:02.2205744Z [ OK ] BasicTest.FactoryMethodsTest (36 ms) 2022-11-23T01:57:02.2206340Z [ RUN ] BasicTest.BasicStdTestCPU 2022-11-23T01:57:02.2611386Z Simple example: called once 2022-11-23T01:57:02.3840061Z throw: call_once will retry 2022-11-23T01:57:02.3872829Z throw: call_once will retry 2022-11-23T01:57:02.4275385Z throw: call_once will retry 2022-11-23T01:57:02.4293922Z Didn't throw, call_once will not attempt again 2022-11-23T01:57:02.4316663Z [ OK ] BasicTest.BasicStdTestCPU (211 ms) 2022-11-23T01:57:02.4336081Z [----------] 4 tests from BasicTest (25673 ms total) 2022-11-23T01:57:02.4336233Z 2022-11-23T01:57:02.4348483Z [----------] Global test environment tear-down 2022-11-23T01:57:02.4376115Z [==========] 4 tests from 1 test suite ran. (25692 ms total) 2022-11-23T01:57:02.4390203Z [ PASSED ] 4 tests. 2022-11-23T01:57:04.4832942Z ==18881== 2022-11-23T01:57:04.4836639Z ==18881== HEAP SUMMARY: 2022-11-23T01:57:04.4837382Z ==18881== in use at exit: 687,491 bytes in 4,091 blocks 2022-11-23T01:57:04.4839136Z ==18881== total heap usage: 1,925,772 allocs, 1,921,681 frees, 310,944,346 bytes allocated 2022-11-23T01:57:04.4839389Z ==18881== 2022-11-23T01:57:05.0276217Z ==18881== LEAK SUMMARY: 2022-11-23T01:57:05.0276666Z ==18881== definitely lost: 0 bytes in 0 blocks 2022-11-23T01:57:05.0276987Z ==18881== indirectly lost: 0 bytes in 0 blocks 2022-11-23T01:57:05.0277237Z ==18881== possibly lost: 1,584 bytes in 3 blocks 2022-11-23T01:57:05.0277487Z ==18881== still reachable: 685,907 bytes in 4,088 blocks 2022-11-23T01:57:05.0277706Z ==18881== suppressed: 0 bytes in 0 blocks 2022-11-23T01:57:05.0278138Z ==18881== Rerun with --leak-check=full to see details of leaked memory 2022-11-23T01:57:05.0278361Z ==18881== 2022-11-23T01:57:05.0278694Z ==18881== For lists of detected and suppressed errors, rerun with: -s 2022-11-23T01:57:05.0278987Z ==18881== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4) 2022-11-23T01:57:05.0816251Z + [[ -x ./tensor_interop_test ]] 2022-11-23T01:57:05.0816627Z + popd 2022-11-23T01:57:05.0816858Z ~/workspace 2022-11-23T01:57:05.0817308Z + [[ -n '' ]] 2022-11-23T01:57:05.0817531Z + assert_git_not_dirty 2022-11-23T01:57:05.0817898Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:57:05.0818221Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]] 2022-11-23T01:57:05.0821480Z ++ git status --porcelain 2022-11-23T01:57:05.1658776Z + git_status= 2022-11-23T01:57:05.1659346Z + [[ -n '' ]] 2022-11-23T01:57:05.1659665Z + test_vec256 2022-11-23T01:57:05.1660122Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]] 2022-11-23T01:57:05.1660434Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:57:05.1660715Z + echo 'Testing vec256 instructions' 2022-11-23T01:57:05.1660924Z Testing vec256 instructions 2022-11-23T01:57:05.1661160Z + mkdir -p test/test-reports/vec256 2022-11-23T01:57:05.1691169Z + pushd build/bin 2022-11-23T01:57:05.1691415Z ~/workspace/build/bin ~/workspace 2022-11-23T01:57:05.1694668Z ++ find . -maxdepth 1 -executable -name 'vec256_test*' 2022-11-23T01:57:05.1753862Z + vec256_tests= 2022-11-23T01:57:05.1754080Z + popd 2022-11-23T01:57:05.1754263Z ~/workspace 2022-11-23T01:57:05.1754444Z + assert_git_not_dirty 2022-11-23T01:57:05.1754782Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:57:05.1755092Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]] 2022-11-23T01:57:05.1757186Z ++ git status --porcelain 2022-11-23T01:57:05.2579409Z + git_status= 2022-11-23T01:57:05.2579930Z + [[ -n '' ]] 2022-11-23T01:57:05.2580201Z + test_libtorch 2022-11-23T01:57:05.2581674Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:57:05.2582075Z + echo 'Testing libtorch' 2022-11-23T01:57:05.2582266Z Testing libtorch 2022-11-23T01:57:05.2582694Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:57:05.2598609Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:57:05.2609130Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:57:05.2618145Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:57:05.2628015Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:57:05.2636323Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libtbb*' /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:57:05.2663101Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch 2022-11-23T01:57:05.2663734Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch 2022-11-23T01:57:05.2664793Z + python tools/download_mnist.py --quiet -d test/cpp/api/mnist 2022-11-23T01:57:05.2702064Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *-tsan* ]] 2022-11-23T01:57:05.2702353Z + python test/cpp/jit/tests_setup.py setup 2022-11-23T01:57:05.3129859Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2022-11-23T01:57:05.5917019Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2022-11-23T01:57:05.6150533Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2022-11-23T01:57:05.6827753Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2022-11-23T01:57:06.7371659Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]] 2022-11-23T01:57:06.7372225Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_jit --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_jit.xml 2022-11-23T01:57:07.1464889Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T01:57:07.1474475Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T01:57:07.1475054Z [==========] Running 568 tests from 118 test suites. 2022-11-23T01:57:07.1475532Z [----------] Global test environment set-up. 2022-11-23T01:57:07.1475831Z [----------] 2 tests from AddIfThenElseOpTest 2022-11-23T01:57:07.1476180Z [ RUN ] AddIfThenElseOpTest.AddIfThenElseOpSimple 2022-11-23T01:57:07.1548122Z [ OK ] AddIfThenElseOpTest.AddIfThenElseOpSimple (7 ms) 2022-11-23T01:57:07.1548772Z [ RUN ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs 2022-11-23T01:57:07.1549338Z [ OK ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs (0 ms) 2022-11-23T01:57:07.1550104Z [----------] 2 tests from AddIfThenElseOpTest (7 ms total) 2022-11-23T01:57:07.1550420Z 2022-11-23T01:57:07.1550643Z [----------] 15 tests from TopologicalMoveTest 2022-11-23T01:57:07.1551125Z [ RUN ] TopologicalMoveTest.SplitsDeps 2022-11-23T01:57:07.1551518Z [ OK ] TopologicalMoveTest.SplitsDeps (0 ms) 2022-11-23T01:57:07.1551942Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardSimple 2022-11-23T01:57:07.1552538Z [ OK ] TopologicalMoveTest.MoveAfterBackwardSimple (0 ms) 2022-11-23T01:57:07.1553111Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardInvalid 2022-11-23T01:57:07.1554178Z [ OK ] TopologicalMoveTest.MoveAfterBackwardInvalid (0 ms) 2022-11-23T01:57:07.1554876Z [ RUN ] TopologicalMoveTest.MoveAfterNoOp 2022-11-23T01:57:07.1555597Z [ OK ] TopologicalMoveTest.MoveAfterNoOp (0 ms) 2022-11-23T01:57:07.1556042Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps 2022-11-23T01:57:07.1556665Z [ OK ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps (0 ms) 2022-11-23T01:57:07.1557332Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet 2022-11-23T01:57:07.1557847Z [ OK ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet (0 ms) 2022-11-23T01:57:07.1558626Z [ RUN ] TopologicalMoveTest.MoveAfterForwardSimple 2022-11-23T01:57:07.1559050Z [ OK ] TopologicalMoveTest.MoveAfterForwardSimple (0 ms) 2022-11-23T01:57:07.1559531Z [ RUN ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet 2022-11-23T01:57:07.1560121Z [ OK ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet (0 ms) 2022-11-23T01:57:07.1560894Z [ RUN ] TopologicalMoveTest.MoveBeforeForwardSimple 2022-11-23T01:57:07.1561704Z [ OK ] TopologicalMoveTest.MoveBeforeForwardSimple (0 ms) 2022-11-23T01:57:07.1562362Z [ RUN ] TopologicalMoveTest.MoveBeforeBackwardSimple 2022-11-23T01:57:07.1563046Z [ OK ] TopologicalMoveTest.MoveBeforeBackwardSimple (0 ms) 2022-11-23T01:57:07.1563738Z [ RUN ] TopologicalMoveTest.MoveBeforeNoOp 2022-11-23T01:57:07.1564253Z [ OK ] TopologicalMoveTest.MoveBeforeNoOp (0 ms) 2022-11-23T01:57:07.1565073Z [ RUN ] TopologicalMoveTest.MoveBeforeForwardWithDeps 2022-11-23T01:57:07.1565512Z [ OK ] TopologicalMoveTest.MoveBeforeForwardWithDeps (0 ms) 2022-11-23T01:57:07.1566059Z [ RUN ] TopologicalMoveTest.MoveBeforeBackwardWithDeps 2022-11-23T01:57:07.1566815Z [ OK ] TopologicalMoveTest.MoveBeforeBackwardWithDeps (0 ms) 2022-11-23T01:57:07.1567391Z [ RUN ] TopologicalMoveTest.DepsDisallowMove 2022-11-23T01:57:07.1567950Z [ OK ] TopologicalMoveTest.DepsDisallowMove (0 ms) 2022-11-23T01:57:07.1568550Z [ RUN ] TopologicalMoveTest.MoveAfterBeforeWithDeps 2022-11-23T01:57:07.1569290Z [ OK ] TopologicalMoveTest.MoveAfterBeforeWithDeps (0 ms) 2022-11-23T01:57:07.1569699Z [----------] 15 tests from TopologicalMoveTest (1 ms total) 2022-11-23T01:57:07.1569869Z 2022-11-23T01:57:07.1570034Z [----------] 6 tests from AliasAnalysisTest 2022-11-23T01:57:07.1570398Z [ RUN ] AliasAnalysisTest.AliasingMutationBlocksMoves 2022-11-23T01:57:07.1604197Z [ OK ] AliasAnalysisTest.AliasingMutationBlocksMoves (3 ms) 2022-11-23T01:57:07.1604875Z [ RUN ] AliasAnalysisTest.AliasingMutationBlocksMoves2 2022-11-23T01:57:07.1605662Z [ OK ] AliasAnalysisTest.AliasingMutationBlocksMoves2 (0 ms) 2022-11-23T01:57:07.1606226Z [ RUN ] AliasAnalysisTest.SideEffectsBlockMoves 2022-11-23T01:57:07.1606803Z [ OK ] AliasAnalysisTest.SideEffectsBlockMoves (0 ms) 2022-11-23T01:57:07.1607486Z [ RUN ] AliasAnalysisTest.MovingAcrossInnerBlocks 2022-11-23T01:57:07.1608151Z [ OK ] AliasAnalysisTest.MovingAcrossInnerBlocks (0 ms) 2022-11-23T01:57:07.1608577Z [ RUN ] AliasAnalysisTest.NoneHasNoWriters 2022-11-23T01:57:07.1609193Z [ OK ] AliasAnalysisTest.NoneHasNoWriters (0 ms) 2022-11-23T01:57:07.1609922Z [ RUN ] AliasAnalysisTest.SafeToChangeAliasingRelationship 2022-11-23T01:57:07.1610720Z [ OK ] AliasAnalysisTest.SafeToChangeAliasingRelationship (0 ms) 2022-11-23T01:57:07.1611267Z [----------] 6 tests from AliasAnalysisTest (4 ms total) 2022-11-23T01:57:07.1611432Z 2022-11-23T01:57:07.1611592Z [----------] 4 tests from WriteTrackingTest 2022-11-23T01:57:07.1611881Z [ RUN ] WriteTrackingTest.Basic 2022-11-23T01:57:07.1612202Z [ OK ] WriteTrackingTest.Basic (0 ms) 2022-11-23T01:57:07.1612527Z [ RUN ] WriteTrackingTest.IsMutable 2022-11-23T01:57:07.1612891Z [ OK ] WriteTrackingTest.IsMutable (0 ms) 2022-11-23T01:57:07.1613287Z [ RUN ] WriteTrackingTest.IsImmutable 2022-11-23T01:57:07.1613713Z [ OK ] WriteTrackingTest.IsImmutable (0 ms) 2022-11-23T01:57:07.1614140Z [ RUN ] WriteTrackingTest.HasWriters 2022-11-23T01:57:07.1614534Z [ OK ] WriteTrackingTest.HasWriters (0 ms) 2022-11-23T01:57:07.1614943Z [----------] 4 tests from WriteTrackingTest (0 ms total) 2022-11-23T01:57:07.1615249Z 2022-11-23T01:57:07.1615430Z [----------] 13 tests from ContainerAliasingTest 2022-11-23T01:57:07.1615829Z [ RUN ] ContainerAliasingTest.MayContainAlias 2022-11-23T01:57:07.1633407Z [ OK ] ContainerAliasingTest.MayContainAlias (0 ms) 2022-11-23T01:57:07.1634112Z [ RUN ] ContainerAliasingTest.MayContainAlias_cast 2022-11-23T01:57:07.1634860Z [ OK ] ContainerAliasingTest.MayContainAlias_cast (0 ms) 2022-11-23T01:57:07.1635781Z [ RUN ] ContainerAliasingTest.PrimitveValuesDontAliasContainers 2022-11-23T01:57:07.1636266Z [ OK ] ContainerAliasingTest.PrimitveValuesDontAliasContainers (0 ms) 2022-11-23T01:57:07.1636683Z [ RUN ] ContainerAliasingTest.UnionAliasing 2022-11-23T01:57:07.1637039Z [ OK ] ContainerAliasingTest.UnionAliasing (0 ms) 2022-11-23T01:57:07.1637418Z [ RUN ] ContainerAliasingTest.InputsCanAliasOutputs 2022-11-23T01:57:07.1637818Z [ OK ] ContainerAliasingTest.InputsCanAliasOutputs (0 ms) 2022-11-23T01:57:07.1638215Z [ RUN ] ContainerAliasingTest.NestedTupleConstruct 2022-11-23T01:57:07.1638693Z [ OK ] ContainerAliasingTest.NestedTupleConstruct (0 ms) 2022-11-23T01:57:07.1639049Z [ RUN ] ContainerAliasingTest.NestedTypes 2022-11-23T01:57:07.1639396Z [ OK ] ContainerAliasingTest.NestedTypes (0 ms) 2022-11-23T01:57:07.1639730Z [ RUN ] ContainerAliasingTest.Simple 2022-11-23T01:57:07.1640049Z [ OK ] ContainerAliasingTest.Simple (0 ms) 2022-11-23T01:57:07.1640349Z [ RUN ] ContainerAliasingTest.Lists 2022-11-23T01:57:07.1640851Z [ OK ] ContainerAliasingTest.Lists (0 ms) 2022-11-23T01:57:07.1641164Z [ RUN ] ContainerAliasingTest.Lists2 2022-11-23T01:57:07.1641471Z [ OK ] ContainerAliasingTest.Lists2 (0 ms) 2022-11-23T01:57:07.1641799Z [ RUN ] ContainerAliasingTest.Conservative 2022-11-23T01:57:07.1642149Z [ OK ] ContainerAliasingTest.Conservative (0 ms) 2022-11-23T01:57:07.1642525Z [ RUN ] ContainerAliasingTest.MovesAcrossContainedWrites 2022-11-23T01:57:07.1642958Z [ OK ] ContainerAliasingTest.MovesAcrossContainedWrites (0 ms) 2022-11-23T01:57:07.1643412Z [ RUN ] ContainerAliasingTest.MovesAcrossContainedWritesNested 2022-11-23T01:57:07.1643887Z [ OK ] ContainerAliasingTest.MovesAcrossContainedWritesNested (0 ms) 2022-11-23T01:57:07.1644302Z [----------] 13 tests from ContainerAliasingTest (1 ms total) 2022-11-23T01:57:07.1644477Z 2022-11-23T01:57:07.1646057Z [----------] 3 tests from WildcardsTest 2022-11-23T01:57:07.1646556Z [ RUN ] WildcardsTest.Basic 2022-11-23T01:57:07.1647068Z [ OK ] WildcardsTest.Basic (0 ms) 2022-11-23T01:57:07.1647633Z [ RUN ] WildcardsTest.TypeIsolation 2022-11-23T01:57:07.1647954Z [ OK ] WildcardsTest.TypeIsolation (0 ms) 2022-11-23T01:57:07.1648302Z [ RUN ] WildcardsTest.InvariantContainerAliasing 2022-11-23T01:57:07.1648691Z [ OK ] WildcardsTest.InvariantContainerAliasing (0 ms) 2022-11-23T01:57:07.1649090Z [----------] 3 tests from WildcardsTest (0 ms total) 2022-11-23T01:57:07.1649244Z 2022-11-23T01:57:07.1649417Z [----------] 18 tests from AliasRegistrationTest 2022-11-23T01:57:07.1649804Z [ RUN ] AliasRegistrationTest.ConservativeWithInferredSchema 2022-11-23T01:57:07.1650267Z [ OK ] AliasRegistrationTest.ConservativeWithInferredSchema (0 ms) 2022-11-23T01:57:07.1650712Z [ RUN ] AliasRegistrationTest.ConservativeWithSpecifiedSchema 2022-11-23T01:57:07.1651182Z [ OK ] AliasRegistrationTest.ConservativeWithSpecifiedSchema (0 ms) 2022-11-23T01:57:07.1651700Z [ RUN ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError 2022-11-23T01:57:07.1726562Z [ OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError (9 ms) 2022-11-23T01:57:07.1727188Z [ RUN ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 2022-11-23T01:57:07.1768654Z [ OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 (4 ms) 2022-11-23T01:57:07.1769217Z [ RUN ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError 2022-11-23T01:57:07.1782856Z [ OK ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError (1 ms) 2022-11-23T01:57:07.1783437Z [ RUN ] AliasRegistrationTest.FromSchemaInferredPure 2022-11-23T01:57:07.1784368Z [ OK ] AliasRegistrationTest.FromSchemaInferredPure (0 ms) 2022-11-23T01:57:07.1784813Z [ RUN ] AliasRegistrationTest.FromSchemaAliased 2022-11-23T01:57:07.1786136Z [ OK ] AliasRegistrationTest.FromSchemaAliased (0 ms) 2022-11-23T01:57:07.1786605Z [ RUN ] AliasRegistrationTest.FromSchemaPure 2022-11-23T01:57:07.1787610Z [ OK ] AliasRegistrationTest.FromSchemaPure (0 ms) 2022-11-23T01:57:07.1788023Z [ RUN ] AliasRegistrationTest.PureNoSchema 2022-11-23T01:57:07.1789025Z [ OK ] AliasRegistrationTest.PureNoSchema (0 ms) 2022-11-23T01:57:07.1789503Z [ RUN ] AliasRegistrationTest.PureWithSchema 2022-11-23T01:57:07.1790145Z [ OK ] AliasRegistrationTest.PureWithSchema (0 ms) 2022-11-23T01:57:07.1790550Z [ RUN ] AliasRegistrationTest.PureWithAnnotationsShouldError 2022-11-23T01:57:07.1823934Z [ OK ] AliasRegistrationTest.PureWithAnnotationsShouldError (3 ms) 2022-11-23T01:57:07.1824548Z [ RUN ] AliasRegistrationTest.AliasMoveAtenListOp 2022-11-23T01:57:07.1825062Z [ OK ] AliasRegistrationTest.AliasMoveAtenListOp (0 ms) 2022-11-23T01:57:07.1825764Z [ RUN ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput 2022-11-23T01:57:07.1826573Z [ OK ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput (0 ms) 2022-11-23T01:57:07.1827379Z [ RUN ] AliasRegistrationTest.RecursiveSubgraphTupleContainment 2022-11-23T01:57:07.1828088Z [ OK ] AliasRegistrationTest.RecursiveSubgraphTupleContainment (0 ms) 2022-11-23T01:57:07.1828950Z [ RUN ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses 2022-11-23T01:57:07.1829491Z [ OK ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses (0 ms) 2022-11-23T01:57:07.1829961Z [ RUN ] AliasRegistrationTest.ATenSplitIntListAliasCheck 2022-11-23T01:57:07.1830384Z [ OK ] AliasRegistrationTest.ATenSplitIntListAliasCheck (0 ms) 2022-11-23T01:57:07.1830798Z [ RUN ] AliasRegistrationTest.ATenSplitIntAliasCheck 2022-11-23T01:57:07.1831206Z [ OK ] AliasRegistrationTest.ATenSplitIntAliasCheck (0 ms) 2022-11-23T01:57:07.1831647Z [ RUN ] AliasRegistrationTest.PureWithAnnotationsShouldError2 2022-11-23T01:57:07.1862753Z [ OK ] AliasRegistrationTest.PureWithAnnotationsShouldError2 (3 ms) 2022-11-23T01:57:07.1863549Z [----------] 18 tests from AliasRegistrationTest (23 ms total) 2022-11-23T01:57:07.1863876Z 2022-11-23T01:57:07.1864120Z [----------] 2 tests from IRNonDeterminismTest 2022-11-23T01:57:07.1864675Z [ RUN ] IRNonDeterminismTest.Basic 2022-11-23T01:57:07.1865125Z [ OK ] IRNonDeterminismTest.Basic (0 ms) 2022-11-23T01:57:07.1865471Z [ RUN ] IRNonDeterminismTest.DropoutSpecialCase 2022-11-23T01:57:07.1865849Z [ OK ] IRNonDeterminismTest.DropoutSpecialCase (0 ms) 2022-11-23T01:57:07.1866207Z [----------] 2 tests from IRNonDeterminismTest (0 ms total) 2022-11-23T01:57:07.1866410Z 2022-11-23T01:57:07.1866732Z [----------] 1 test from NonDeterminismBackwardsCompatibility 2022-11-23T01:57:07.1867801Z [ RUN ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility 2022-11-23T01:57:07.1868400Z [ OK ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility (0 ms) 2022-11-23T01:57:07.1868869Z [----------] 1 test from NonDeterminismBackwardsCompatibility (0 ms total) 2022-11-23T01:57:07.1869071Z 2022-11-23T01:57:07.1869221Z [----------] 3 tests from AutodiffTest 2022-11-23T01:57:07.1869555Z [ RUN ] AutodiffTest.ADFormulas 2022-11-23T01:57:07.2344680Z [ OK ] AutodiffTest.ADFormulas (47 ms) 2022-11-23T01:57:07.2345366Z [ RUN ] AutodiffTest.Differentiate 2022-11-23T01:57:07.2349911Z [ OK ] AutodiffTest.Differentiate (0 ms) 2022-11-23T01:57:07.2350565Z [ RUN ] AutodiffTest.DifferentiateWithRequiresGrad 2022-11-23T01:57:07.2369815Z [ OK ] AutodiffTest.DifferentiateWithRequiresGrad (1 ms) 2022-11-23T01:57:07.2370423Z [----------] 3 tests from AutodiffTest (50 ms total) 2022-11-23T01:57:07.2370589Z 2022-11-23T01:57:07.2370800Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest 2022-11-23T01:57:07.2371178Z [ RUN ] AutodiffRemoveUnusedGradientsTest.Linear 2022-11-23T01:57:07.2382916Z [ OK ] AutodiffRemoveUnusedGradientsTest.Linear (1 ms) 2022-11-23T01:57:07.2383635Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest (1 ms total) 2022-11-23T01:57:07.2383845Z 2022-11-23T01:57:07.2383998Z [----------] 1 test from UpgraderLoad 2022-11-23T01:57:07.2384399Z [ RUN ] UpgraderLoad.CanPopulateUpgradersGraph 2022-11-23T01:57:07.2427155Z [ OK ] UpgraderLoad.CanPopulateUpgradersGraph (4 ms) 2022-11-23T01:57:07.2427828Z [----------] 1 test from UpgraderLoad (4 ms total) 2022-11-23T01:57:07.2428107Z 2022-11-23T01:57:07.2428409Z [----------] 4 tests from OpReplacementTest 2022-11-23T01:57:07.2429061Z [ RUN ] OpReplacementTest.ReplaceDivInSimpleFunction 2022-11-23T01:57:07.2447113Z [ OK ] OpReplacementTest.ReplaceDivInSimpleFunction (0 ms) 2022-11-23T01:57:07.2450473Z [ RUN ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction 2022-11-23T01:57:07.2451313Z [ OK ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction (0 ms) 2022-11-23T01:57:07.2452058Z [ RUN ] OpReplacementTest.ReplaceDivInNestedFunction 2022-11-23T01:57:07.2452765Z [ OK ] OpReplacementTest.ReplaceDivInNestedFunction (0 ms) 2022-11-23T01:57:07.2453575Z [ RUN ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction 2022-11-23T01:57:07.2454414Z [ OK ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction (0 ms) 2022-11-23T01:57:07.2455174Z [----------] 4 tests from OpReplacementTest (0 ms total) 2022-11-23T01:57:07.2455464Z 2022-11-23T01:57:07.2455736Z [----------] 4 tests from UpgraderUtils 2022-11-23T01:57:07.2456299Z [ RUN ] UpgraderUtils.FindCorrectUpgrader 2022-11-23T01:57:07.2456946Z [ OK ] UpgraderUtils.FindCorrectUpgrader (0 ms) 2022-11-23T01:57:07.2457566Z [ RUN ] UpgraderUtils.IsVersionMapSorted 2022-11-23T01:57:07.2458184Z [ OK ] UpgraderUtils.IsVersionMapSorted (0 ms) 2022-11-23T01:57:07.2458797Z [ RUN ] UpgraderUtils.FindIfOpIsCurrent 2022-11-23T01:57:07.2459402Z [ OK ] UpgraderUtils.FindIfOpIsCurrent (0 ms) 2022-11-23T01:57:07.2486226Z [ RUN ] UpgraderUtils.CanLoadHistoricOp 2022-11-23T01:57:07.2486963Z [ OK ] UpgraderUtils.CanLoadHistoricOp (0 ms) 2022-11-23T01:57:07.2487494Z [----------] 4 tests from UpgraderUtils (0 ms total) 2022-11-23T01:57:07.2487667Z 2022-11-23T01:57:07.2487817Z [----------] 9 tests from BackendTest 2022-11-23T01:57:07.2488078Z [ RUN ] BackendTest.ToBackend 2022-11-23T01:57:07.2488367Z [ OK ] BackendTest.ToBackend (4 ms) 2022-11-23T01:57:07.2489068Z [ RUN ] BackendTest.ToBackendNotAvailable 2022-11-23T01:57:07.2508925Z [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:57:07.2526361Z [ OK ] BackendTest.ToBackendNotAvailable (4 ms) 2022-11-23T01:57:07.2526894Z [ RUN ] BackendTest.TestCompiler 2022-11-23T01:57:07.2608315Z [ OK ] BackendTest.TestCompiler (8 ms) 2022-11-23T01:57:07.2608679Z [ RUN ] BackendTest.TestCompilerWithStringTable 2022-11-23T01:57:07.2662847Z [ OK ] BackendTest.TestCompilerWithStringTable (5 ms) 2022-11-23T01:57:07.2663201Z [ RUN ] BackendTest.TestComposite 2022-11-23T01:57:07.2768098Z [ OK ] BackendTest.TestComposite (10 ms) 2022-11-23T01:57:07.2768406Z [ RUN ] BackendTest.TestPrimDtype 2022-11-23T01:57:07.2773722Z [ OK ] BackendTest.TestPrimDtype (0 ms) 2022-11-23T01:57:07.2774079Z [ RUN ] BackendTest.TestCompositeWithSetStates 2022-11-23T01:57:07.2877503Z [ OK ] BackendTest.TestCompositeWithSetStates (10 ms) 2022-11-23T01:57:07.2877984Z [ RUN ] BackendTest.TestConsistencyOfCompositeWithSetStates 2022-11-23T01:57:07.3067838Z [ OK ] BackendTest.TestConsistencyOfCompositeWithSetStates (18 ms) 2022-11-23T01:57:07.3068273Z [ RUN ] BackendTest.TestCompilerNotSupport 2022-11-23T01:57:07.3087136Z [ OK ] BackendTest.TestCompilerNotSupport (1 ms) 2022-11-23T01:57:07.3087502Z [----------] 9 tests from BackendTest (65 ms total) 2022-11-23T01:57:07.3087664Z 2022-11-23T01:57:07.3087835Z [----------] 6 tests from BackendTestDebugInfo 2022-11-23T01:57:07.3088156Z [ RUN ] BackendTestDebugInfo.TestCompiler 2022-11-23T01:57:07.3216555Z [ OK ] BackendTestDebugInfo.TestCompiler (12 ms) 2022-11-23T01:57:07.3217022Z [ RUN ] BackendTestDebugInfo.TestCompilerWithStringTable 2022-11-23T01:57:07.3357775Z [ OK ] BackendTestDebugInfo.TestCompilerWithStringTable (14 ms) 2022-11-23T01:57:07.3358343Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy 2022-11-23T01:57:07.3499063Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy (14 ms) 2022-11-23T01:57:07.3499766Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy 2022-11-23T01:57:07.3629331Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy (13 ms) 2022-11-23T01:57:07.3629975Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule 2022-11-23T01:57:07.3774632Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule (14 ms) 2022-11-23T01:57:07.3775302Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule 2022-11-23T01:57:07.3908877Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule (13 ms) 2022-11-23T01:57:07.3909418Z [----------] 6 tests from BackendTestDebugInfo (82 ms total) 2022-11-23T01:57:07.3909600Z 2022-11-23T01:57:07.3909746Z [----------] 4 tests from ClassImportTest 2022-11-23T01:57:07.3910042Z [ RUN ] ClassImportTest.Basic 2022-11-23T01:57:07.3914773Z [ OK ] ClassImportTest.Basic (0 ms) 2022-11-23T01:57:07.3915125Z [ RUN ] ClassImportTest.ScriptObject 2022-11-23T01:57:07.3940967Z [ OK ] ClassImportTest.ScriptObject (2 ms) 2022-11-23T01:57:07.3941411Z [ RUN ] ClassImportTest.ClassDerive 2022-11-23T01:57:07.3941745Z [ OK ] ClassImportTest.ClassDerive (0 ms) 2022-11-23T01:57:07.3942293Z [ RUN ] ClassImportTest.CustomClass 2022-11-23T01:57:07.3943076Z [ OK ] ClassImportTest.CustomClass (0 ms) 2022-11-23T01:57:07.3943573Z [----------] 4 tests from ClassImportTest (3 ms total) 2022-11-23T01:57:07.3943848Z 2022-11-23T01:57:07.3944067Z [----------] 1 test from ClassParserTest 2022-11-23T01:57:07.3944406Z [ RUN ] ClassParserTest.Basic 2022-11-23T01:57:07.3944698Z [ OK ] ClassParserTest.Basic (0 ms) 2022-11-23T01:57:07.3945182Z [----------] 1 test from ClassParserTest (0 ms total) 2022-11-23T01:57:07.3945342Z 2022-11-23T01:57:07.3945495Z [----------] 3 tests from ClassTypeTest 2022-11-23T01:57:07.3945835Z [ RUN ] ClassTypeTest.AddRemoveAttr 2022-11-23T01:57:07.3946157Z [ OK ] ClassTypeTest.AddRemoveAttr (0 ms) 2022-11-23T01:57:07.3946512Z [ RUN ] ClassTypeTest.AddRemoveConstant 2022-11-23T01:57:07.3946862Z [ OK ] ClassTypeTest.AddRemoveConstant (0 ms) 2022-11-23T01:57:07.3947242Z [ RUN ] ClassTypeTest.IdenticalTypesDifferentCus 2022-11-23T01:57:07.3971147Z [ OK ] ClassTypeTest.IdenticalTypesDifferentCus (2 ms) 2022-11-23T01:57:07.3971866Z [----------] 3 tests from ClassTypeTest (2 ms total) 2022-11-23T01:57:07.3972121Z 2022-11-23T01:57:07.3972414Z [----------] 2 tests from TestCodeTemplate 2022-11-23T01:57:07.3972945Z [ RUN ] TestCodeTemplate.Copying 2022-11-23T01:57:07.3973473Z [ OK ] TestCodeTemplate.Copying (0 ms) 2022-11-23T01:57:07.3973771Z [ RUN ] TestCodeTemplate.Formatting 2022-11-23T01:57:07.3974091Z [ OK ] TestCodeTemplate.Formatting (0 ms) 2022-11-23T01:57:07.3974423Z [----------] 2 tests from TestCodeTemplate (0 ms total) 2022-11-23T01:57:07.3974582Z 2022-11-23T01:57:07.3974720Z [----------] 13 tests from ConcatOptTest 2022-11-23T01:57:07.3975085Z [ RUN ] ConcatOptTest.SimpleCommonInputsEliminationPrefix 2022-11-23T01:57:07.4028925Z [ OK ] ConcatOptTest.SimpleCommonInputsEliminationPrefix (5 ms) 2022-11-23T01:57:07.4029533Z [ RUN ] ConcatOptTest.SimpleCommonInputsEliminationSuffix 2022-11-23T01:57:07.4069243Z [ OK ] ConcatOptTest.SimpleCommonInputsEliminationSuffix (4 ms) 2022-11-23T01:57:07.4070015Z [ RUN ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs 2022-11-23T01:57:07.4101649Z [ OK ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs (3 ms) 2022-11-23T01:57:07.4102255Z [ RUN ] ConcatOptTest.MoreCommonInputsElimination 2022-11-23T01:57:07.4179948Z [ OK ] ConcatOptTest.MoreCommonInputsElimination (7 ms) 2022-11-23T01:57:07.4180449Z [ RUN ] ConcatOptTest.ExpandConcat 2022-11-23T01:57:07.4208252Z [ OK ] ConcatOptTest.ExpandConcat (2 ms) 2022-11-23T01:57:07.4208739Z [ RUN ] ConcatOptTest.ConcatWithoutResultShape 2022-11-23T01:57:07.4231608Z [ OK ] ConcatOptTest.ConcatWithoutResultShape (2 ms) 2022-11-23T01:57:07.4232185Z [ RUN ] ConcatOptTest.ConcatWithoutInputShape 2022-11-23T01:57:07.4254101Z [ OK ] ConcatOptTest.ConcatWithoutInputShape (2 ms) 2022-11-23T01:57:07.4254784Z [ RUN ] ConcatOptTest.UseVariadicCat 2022-11-23T01:57:07.4311539Z [ OK ] ConcatOptTest.UseVariadicCat (5 ms) 2022-11-23T01:57:07.4312237Z [ RUN ] ConcatOptTest.UseVariadicCatWithMultipleListUses 2022-11-23T01:57:07.4332798Z [ OK ] ConcatOptTest.UseVariadicCatWithMultipleListUses (2 ms) 2022-11-23T01:57:07.4333690Z [ RUN ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat 2022-11-23T01:57:07.4359830Z [ OK ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat (2 ms) 2022-11-23T01:57:07.4360735Z [ RUN ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat 2022-11-23T01:57:07.4395438Z [ OK ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat (3 ms) 2022-11-23T01:57:07.4396615Z [ RUN ] ConcatOptTest.UseVariadicCatWithMultipleListMutations 2022-11-23T01:57:07.4439893Z [ OK ] ConcatOptTest.UseVariadicCatWithMultipleListMutations (4 ms) 2022-11-23T01:57:07.4440722Z [ RUN ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination 2022-11-23T01:57:07.4482973Z [ OK ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination (4 ms) 2022-11-23T01:57:07.4483912Z [----------] 13 tests from ConcatOptTest (51 ms total) 2022-11-23T01:57:07.4484126Z 2022-11-23T01:57:07.4484341Z [----------] 1 test from OptimizeConcatTest 2022-11-23T01:57:07.4484992Z [ RUN ] OptimizeConcatTest.UseVariadicCatReplaceMultiple 2022-11-23T01:57:07.4515261Z [ OK ] OptimizeConcatTest.UseVariadicCatReplaceMultiple (3 ms) 2022-11-23T01:57:07.4516057Z [----------] 1 test from OptimizeConcatTest (3 ms total) 2022-11-23T01:57:07.4516329Z 2022-11-23T01:57:07.4516552Z [----------] 3 tests from ConcatOpt 2022-11-23T01:57:07.4517238Z [ RUN ] ConcatOpt.CombineConcatsSimpleCase 2022-11-23T01:57:07.4517821Z [ OK ] ConcatOpt.CombineConcatsSimpleCase (0 ms) 2022-11-23T01:57:07.4518391Z [ RUN ] ConcatOpt.CombineConcatsLongChain 2022-11-23T01:57:07.4519211Z [ OK ] ConcatOpt.CombineConcatsLongChain (0 ms) 2022-11-23T01:57:07.4519670Z [ RUN ] ConcatOpt.CombineConcatsMutation 2022-11-23T01:57:07.4520407Z [ OK ] ConcatOpt.CombineConcatsMutation (0 ms) 2022-11-23T01:57:07.4522076Z [----------] 3 tests from ConcatOpt (0 ms total) 2022-11-23T01:57:07.4522277Z 2022-11-23T01:57:07.4522479Z [----------] 4 tests from ConstantPoolingTest 2022-11-23T01:57:07.4522865Z [ RUN ] ConstantPoolingTest.Int 2022-11-23T01:57:07.4523251Z [ OK ] ConstantPoolingTest.Int (0 ms) 2022-11-23T01:57:07.4523685Z [ RUN ] ConstantPoolingTest.PoolingAcrossBlocks 2022-11-23T01:57:07.4524185Z [ OK ] ConstantPoolingTest.PoolingAcrossBlocks (0 ms) 2022-11-23T01:57:07.4524692Z [ RUN ] ConstantPoolingTest.PoolingDifferentDevices 2022-11-23T01:57:07.4526867Z [ OK ] ConstantPoolingTest.PoolingDifferentDevices (0 ms) 2022-11-23T01:57:07.4527360Z [ RUN ] ConstantPoolingTest.DictConstantPooling 2022-11-23T01:57:07.4527863Z [ OK ] ConstantPoolingTest.DictConstantPooling (0 ms) 2022-11-23T01:57:07.4528349Z [----------] 4 tests from ConstantPoolingTest (0 ms total) 2022-11-23T01:57:07.4528563Z 2022-11-23T01:57:07.4528768Z [----------] 1 test from CleanupPassTest 2022-11-23T01:57:07.4529378Z [ RUN ] CleanupPassTest.Basic 2022-11-23T01:57:07.4530160Z [ OK ] CleanupPassTest.Basic (0 ms) 2022-11-23T01:57:07.4530578Z [----------] 1 test from CleanupPassTest (0 ms total) 2022-11-23T01:57:07.4530788Z 2022-11-23T01:57:07.4531017Z [----------] 1 test from CreateAutodiffSubgraphsTest 2022-11-23T01:57:07.4531460Z [ RUN ] CreateAutodiffSubgraphsTest.Basic 2022-11-23T01:57:07.4536108Z [ OK ] CreateAutodiffSubgraphsTest.Basic (0 ms) 2022-11-23T01:57:07.4536637Z [----------] 1 test from CreateAutodiffSubgraphsTest (0 ms total) 2022-11-23T01:57:07.4536876Z 2022-11-23T01:57:07.4537077Z [----------] 4 tests from CustomClassTest 2022-11-23T01:57:07.4537494Z [ RUN ] CustomClassTest.TorchbindIValueAPI 2022-11-23T01:57:07.4542569Z [ OK ] CustomClassTest.TorchbindIValueAPI (0 ms) 2022-11-23T01:57:07.4543174Z [ RUN ] CustomClassTest.ScalarTypeClass 2022-11-23T01:57:07.4545427Z [ OK ] CustomClassTest.ScalarTypeClass (0 ms) 2022-11-23T01:57:07.4545969Z [ RUN ] CustomClassTest.TestDocString 2022-11-23T01:57:07.4546727Z [ OK ] CustomClassTest.TestDocString (0 ms) 2022-11-23T01:57:07.4547276Z [ RUN ] CustomClassTest.Serialization 2022-11-23T01:57:07.4570393Z [ OK ] CustomClassTest.Serialization (2 ms) 2022-11-23T01:57:07.4570905Z [----------] 4 tests from CustomClassTest (3 ms total) 2022-11-23T01:57:07.4571159Z 2022-11-23T01:57:07.4571418Z [----------] 5 tests from CustomOperatorTest 2022-11-23T01:57:07.4571936Z [ RUN ] CustomOperatorTest.InferredSchema 2022-11-23T01:57:07.4573393Z [ OK ] CustomOperatorTest.InferredSchema (0 ms) 2022-11-23T01:57:07.4573920Z [ RUN ] CustomOperatorTest.ExplicitSchema 2022-11-23T01:57:07.4576358Z [ OK ] CustomOperatorTest.ExplicitSchema (0 ms) 2022-11-23T01:57:07.4576974Z [ RUN ] CustomOperatorTest.ListParameters 2022-11-23T01:57:07.4577792Z [ OK ] CustomOperatorTest.ListParameters (0 ms) 2022-11-23T01:57:07.4578348Z [ RUN ] CustomOperatorTest.ListParameters2 2022-11-23T01:57:07.4580549Z [ OK ] CustomOperatorTest.ListParameters2 (0 ms) 2022-11-23T01:57:07.4581125Z [ RUN ] CustomOperatorTest.Aliasing 2022-11-23T01:57:07.4582975Z [ OK ] CustomOperatorTest.Aliasing (0 ms) 2022-11-23T01:57:07.4583579Z [----------] 5 tests from CustomOperatorTest (1 ms total) 2022-11-23T01:57:07.4583876Z 2022-11-23T01:57:07.4584167Z [----------] 2 tests from TestCustomOperator 2022-11-23T01:57:07.4584822Z [ RUN ] TestCustomOperator.OperatorGeneratorUndeclared 2022-11-23T01:57:07.4585511Z [ OK ] TestCustomOperator.OperatorGeneratorUndeclared (0 ms) 2022-11-23T01:57:07.4586217Z [ RUN ] TestCustomOperator.OperatorGeneratorBasic 2022-11-23T01:57:07.4586922Z [ OK ] TestCustomOperator.OperatorGeneratorBasic (0 ms) 2022-11-23T01:57:07.4587490Z [----------] 2 tests from TestCustomOperator (0 ms total) 2022-11-23T01:57:07.4587721Z 2022-11-23T01:57:07.4588015Z [----------] 1 test from EliminateDeadCodeTest 2022-11-23T01:57:07.4588476Z [ RUN ] EliminateDeadCodeTest.Basic 2022-11-23T01:57:07.4589031Z [ OK ] EliminateDeadCodeTest.Basic (0 ms) 2022-11-23T01:57:07.4589603Z [----------] 1 test from EliminateDeadCodeTest (0 ms total) 2022-11-23T01:57:07.4589899Z 2022-11-23T01:57:07.4590138Z [----------] 2 tests from FuserTest 2022-11-23T01:57:07.4590620Z [ RUN ] FuserTest.FusionAliasing 2022-11-23T01:57:07.4592975Z [ OK ] FuserTest.FusionAliasing (0 ms) 2022-11-23T01:57:07.4593303Z [ RUN ] FuserTest.KernelCaching 2022-11-23T01:57:07.4596150Z [ OK ] FuserTest.KernelCaching (0 ms) 2022-11-23T01:57:07.4596476Z [----------] 2 tests from FuserTest (0 ms total) 2022-11-23T01:57:07.4596632Z 2022-11-23T01:57:07.4596780Z [----------] 1 test from GraphExecutorTest 2022-11-23T01:57:07.4597100Z [ RUN ] GraphExecutorTest.runAsync_executor 2022-11-23T01:57:07.4634315Z [ OK ] GraphExecutorTest.runAsync_executor (3 ms) 2022-11-23T01:57:07.4634785Z [----------] 1 test from GraphExecutorTest (3 ms total) 2022-11-23T01:57:07.4635003Z 2022-11-23T01:57:07.4635205Z [----------] 5 tests from GraphIteratorTest 2022-11-23T01:57:07.4635635Z [ RUN ] GraphIteratorTest.ConstantReturnGraph 2022-11-23T01:57:07.4636118Z [ OK ] GraphIteratorTest.ConstantReturnGraph (0 ms) 2022-11-23T01:57:07.4636580Z [ RUN ] GraphIteratorTest.GraphWithParameters 2022-11-23T01:57:07.4637052Z [ OK ] GraphIteratorTest.GraphWithParameters (0 ms) 2022-11-23T01:57:07.4637488Z [ RUN ] GraphIteratorTest.GraphWithIf 2022-11-23T01:57:07.4637911Z [ OK ] GraphIteratorTest.GraphWithIf (0 ms) 2022-11-23T01:57:07.4638330Z [ RUN ] GraphIteratorTest.GraphWithNestedIf 2022-11-23T01:57:07.4639145Z [ OK ] GraphIteratorTest.GraphWithNestedIf (0 ms) 2022-11-23T01:57:07.4639768Z [ RUN ] GraphIteratorTest.GraphWithLoop 2022-11-23T01:57:07.4640215Z [ OK ] GraphIteratorTest.GraphWithLoop (0 ms) 2022-11-23T01:57:07.4640651Z [----------] 5 tests from GraphIteratorTest (0 ms total) 2022-11-23T01:57:07.4640857Z 2022-11-23T01:57:07.4641110Z [----------] 1 test from CSDebugInfoSerializaitionTest 2022-11-23T01:57:07.4641663Z [ RUN ] CSDebugInfoSerializaitionTest.TwoSubmodules 2022-11-23T01:57:07.4669235Z [ OK ] CSDebugInfoSerializaitionTest.TwoSubmodules (0 ms) 2022-11-23T01:57:07.4669989Z [----------] 1 test from CSDebugInfoSerializaitionTest (0 ms total) 2022-11-23T01:57:07.4670290Z 2022-11-23T01:57:07.4670534Z [----------] 1 test from InlinerTest 2022-11-23T01:57:07.4671010Z [ RUN ] InlinerTest.Basic 2022-11-23T01:57:07.4671510Z [ OK ] InlinerTest.Basic (0 ms) 2022-11-23T01:57:07.4672028Z [----------] 1 test from InlinerTest (0 ms total) 2022-11-23T01:57:07.4672181Z 2022-11-23T01:57:07.4672328Z [----------] 1 test from InterfaceTest 2022-11-23T01:57:07.4672662Z [ RUN ] InterfaceTest.ModuleInterfaceSerialization 2022-11-23T01:57:07.4673048Z [ OK ] InterfaceTest.ModuleInterfaceSerialization (1 ms) 2022-11-23T01:57:07.4673408Z [----------] 1 test from InterfaceTest (1 ms total) 2022-11-23T01:57:07.4673564Z 2022-11-23T01:57:07.4673717Z [----------] 4 tests from TypeCheckTest 2022-11-23T01:57:07.4673994Z [ RUN ] TypeCheckTest.MatchingType 2022-11-23T01:57:07.4674309Z [ OK ] TypeCheckTest.MatchingType (0 ms) 2022-11-23T01:57:07.4674615Z [ RUN ] TypeCheckTest.SizeMismatch 2022-11-23T01:57:07.4674922Z [ OK ] TypeCheckTest.SizeMismatch (0 ms) 2022-11-23T01:57:07.4675223Z [ RUN ] TypeCheckTest.GradientMismatch 2022-11-23T01:57:07.4675554Z [ OK ] TypeCheckTest.GradientMismatch (0 ms) 2022-11-23T01:57:07.4675884Z [ RUN ] TypeCheckTest.ScalarTypeMismatch 2022-11-23T01:57:07.4676211Z [ OK ] TypeCheckTest.ScalarTypeMismatch (0 ms) 2022-11-23T01:57:07.4676550Z [----------] 4 tests from TypeCheckTest (0 ms total) 2022-11-23T01:57:07.4676704Z 2022-11-23T01:57:07.4676860Z [----------] 3 tests from InterpreterTest 2022-11-23T01:57:07.4677173Z [ RUN ] InterpreterTest.IgnorableArgsInSchema 2022-11-23T01:57:07.4677541Z [ OK ] InterpreterTest.IgnorableArgsInSchema (0 ms) 2022-11-23T01:57:07.4677929Z [ RUN ] InterpreterTest.IgnorableArgsInSchemaWithOut 2022-11-23T01:57:07.4678345Z [ OK ] InterpreterTest.IgnorableArgsInSchemaWithOut (0 ms) 2022-11-23T01:57:07.4678780Z [ RUN ] InterpreterTest.runAsyncBasicTest 2022-11-23T01:57:07.4689218Z [ OK ] InterpreterTest.runAsyncBasicTest (1 ms) 2022-11-23T01:57:07.4689718Z [----------] 3 tests from InterpreterTest (2 ms total) 2022-11-23T01:57:07.4689910Z 2022-11-23T01:57:07.4690146Z [----------] 1 test from EnableRethrowCaughtExceptionTest 2022-11-23T01:57:07.4690798Z [ RUN ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException 2022-11-23T01:57:07.4905888Z [ OK ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException (21 ms) 2022-11-23T01:57:07.4906564Z [----------] 1 test from EnableRethrowCaughtExceptionTest (21 ms total) 2022-11-23T01:57:07.4906810Z 2022-11-23T01:57:07.4906958Z [----------] 4 tests from IRTest 2022-11-23T01:57:07.4907212Z [ RUN ] IRTest.Attributes 2022-11-23T01:57:07.4907579Z [ OK ] IRTest.Attributes (0 ms) 2022-11-23T01:57:07.4907949Z [ RUN ] IRTest.Blocks 2022-11-23T01:57:07.4908337Z [ OK ] IRTest.Blocks (0 ms) 2022-11-23T01:57:07.4909001Z [ RUN ] IRTest.CommonAncestor 2022-11-23T01:57:07.4909457Z [ OK ] IRTest.CommonAncestor (0 ms) 2022-11-23T01:57:07.4909805Z [ RUN ] IRTest.OperatorMap 2022-11-23T01:57:07.4910242Z [ OK ] IRTest.OperatorMap (0 ms) 2022-11-23T01:57:07.4910767Z [----------] 4 tests from IRTest (0 ms total) 2022-11-23T01:57:07.4911035Z 2022-11-23T01:57:07.4911314Z [----------] 21 tests from IRParserTest 2022-11-23T01:57:07.4911850Z [ RUN ] IRParserTest.Basic 2022-11-23T01:57:07.4912223Z [ OK ] IRParserTest.Basic (0 ms) 2022-11-23T01:57:07.4912643Z [ RUN ] IRParserTest.NestedBlock 2022-11-23T01:57:07.4913106Z [ OK ] IRParserTest.NestedBlock (0 ms) 2022-11-23T01:57:07.4913582Z [ RUN ] IRParserTest.If 2022-11-23T01:57:07.4914038Z [ OK ] IRParserTest.If (0 ms) 2022-11-23T01:57:07.4914298Z [ RUN ] IRParserTest.If2 2022-11-23T01:57:07.4914681Z [ OK ] IRParserTest.If2 (0 ms) 2022-11-23T01:57:07.4915012Z [ RUN ] IRParserTest.InferredTypeIsTensor 2022-11-23T01:57:07.4915574Z [ OK ] IRParserTest.InferredTypeIsTensor (0 ms) 2022-11-23T01:57:07.4916151Z [ RUN ] IRParserTest.ValueReuse 2022-11-23T01:57:07.4916542Z [ OK ] IRParserTest.ValueReuse (0 ms) 2022-11-23T01:57:07.4916947Z [ RUN ] IRParserTest.Attributes 2022-11-23T01:57:07.4917384Z [ OK ] IRParserTest.Attributes (0 ms) 2022-11-23T01:57:07.4917818Z [ RUN ] IRParserTest.OptionalTypes 2022-11-23T01:57:07.4918182Z [ OK ] IRParserTest.OptionalTypes (0 ms) 2022-11-23T01:57:07.4918715Z [ RUN ] IRParserTest.StarTensor 2022-11-23T01:57:07.4919104Z [ OK ] IRParserTest.StarTensor (0 ms) 2022-11-23T01:57:07.4919467Z [ RUN ] IRParserTest.UnshapedTensor 2022-11-23T01:57:07.4920012Z [ OK ] IRParserTest.UnshapedTensor (0 ms) 2022-11-23T01:57:07.4920535Z [ RUN ] IRParserTest.ShapedTensor 2022-11-23T01:57:07.4921020Z [ OK ] IRParserTest.ShapedTensor (0 ms) 2022-11-23T01:57:07.4921566Z [ RUN ] IRParserTest.NestedContrainer 2022-11-23T01:57:07.4922144Z [ OK ] IRParserTest.NestedContrainer (0 ms) 2022-11-23T01:57:07.4922729Z [ RUN ] IRParserTest.MalformedShapeAnnotation 2022-11-23T01:57:07.4923107Z [ OK ] IRParserTest.MalformedShapeAnnotation (0 ms) 2022-11-23T01:57:07.4923496Z [ RUN ] IRParserTest.FileCheck 2022-11-23T01:57:07.4923790Z [ OK ] IRParserTest.FileCheck (0 ms) 2022-11-23T01:57:07.4924058Z [ RUN ] IRParserTest.Strides 2022-11-23T01:57:07.4924403Z [ OK ] IRParserTest.Strides (0 ms) 2022-11-23T01:57:07.4924703Z [ RUN ] IRParserTest.MalformedStrides 2022-11-23T01:57:07.4925271Z [ OK ] IRParserTest.MalformedStrides (0 ms) 2022-11-23T01:57:07.4925571Z [ RUN ] IRParserTest.TensorShapes 2022-11-23T01:57:07.4925938Z [ OK ] IRParserTest.TensorShapes (0 ms) 2022-11-23T01:57:07.4926287Z [ RUN ] IRParserTest.DeviceAndRequiresGradTensors 2022-11-23T01:57:07.4926731Z [ OK ] IRParserTest.DeviceAndRequiresGradTensors (0 ms) 2022-11-23T01:57:07.4927073Z [ RUN ] IRParserTest.ListConstant 2022-11-23T01:57:07.4927433Z [ OK ] IRParserTest.ListConstant (0 ms) 2022-11-23T01:57:07.4927743Z [ RUN ] IRParserTest.PartialStarTensor 2022-11-23T01:57:07.4928129Z [ OK ] IRParserTest.PartialStarTensor (0 ms) 2022-11-23T01:57:07.4928475Z [ RUN ] IRParserTest.ComplexTensorAttributes 2022-11-23T01:57:07.4928879Z [ OK ] IRParserTest.ComplexTensorAttributes (0 ms) 2022-11-23T01:57:07.4929228Z [----------] 21 tests from IRParserTest (1 ms total) 2022-11-23T01:57:07.4929384Z 2022-11-23T01:57:07.4929676Z [----------] 2 tests from JitTypeTest 2022-11-23T01:57:07.4929975Z [ RUN ] JitTypeTest.IsComplete 2022-11-23T01:57:07.4930253Z [ OK ] JitTypeTest.IsComplete (0 ms) 2022-11-23T01:57:07.4930597Z [ RUN ] JitTypeTest.UnifyTypes 2022-11-23T01:57:07.4930897Z [ OK ] JitTypeTest.UnifyTypes (0 ms) 2022-11-23T01:57:07.4931291Z [----------] 2 tests from JitTypeTest (0 ms total) 2022-11-23T01:57:07.4931539Z 2022-11-23T01:57:07.4931920Z [----------] 42 tests from LiteInterpreterTest 2022-11-23T01:57:07.4932462Z [ RUN ] LiteInterpreterTest.UpsampleNearest2d 2022-11-23T01:57:07.4939703Z [ OK ] LiteInterpreterTest.UpsampleNearest2d (1 ms) 2022-11-23T01:57:07.4940110Z [ RUN ] LiteInterpreterTest.CheckAttrAccess 2022-11-23T01:57:07.4941026Z [ OK ] LiteInterpreterTest.CheckAttrAccess (0 ms) 2022-11-23T01:57:07.4941398Z [ RUN ] LiteInterpreterTest.MethodInvocation 2022-11-23T01:57:07.4967393Z [ OK ] LiteInterpreterTest.MethodInvocation (2 ms) 2022-11-23T01:57:07.4967772Z [ RUN ] LiteInterpreterTest.Conv 2022-11-23T01:57:07.4993259Z [ OK ] LiteInterpreterTest.Conv (2 ms) 2022-11-23T01:57:07.4993754Z [ RUN ] LiteInterpreterTest.Inline 2022-11-23T01:57:07.5003178Z [ OK ] LiteInterpreterTest.Inline (0 ms) 2022-11-23T01:57:07.5003576Z [ RUN ] LiteInterpreterTest.Tuple 2022-11-23T01:57:07.5010122Z [ OK ] LiteInterpreterTest.Tuple (0 ms) 2022-11-23T01:57:07.5010510Z [ RUN ] LiteInterpreterTest.AtenFormat 2022-11-23T01:57:07.5023899Z [ OK ] LiteInterpreterTest.AtenFormat (1 ms) 2022-11-23T01:57:07.5024297Z [ RUN ] LiteInterpreterTest.PrimDevice 2022-11-23T01:57:07.5027985Z [ OK ] LiteInterpreterTest.PrimDevice (0 ms) 2022-11-23T01:57:07.5028341Z [ RUN ] LiteInterpreterTest.Dict 2022-11-23T01:57:07.5034691Z [ OK ] LiteInterpreterTest.Dict (0 ms) 2022-11-23T01:57:07.5035048Z [ RUN ] LiteInterpreterTest.List 2022-11-23T01:57:07.5043574Z [ OK ] LiteInterpreterTest.List (0 ms) 2022-11-23T01:57:07.5044007Z [ RUN ] LiteInterpreterTest.PrimOverload 2022-11-23T01:57:07.5044357Z [ OK ] LiteInterpreterTest.PrimOverload (0 ms) 2022-11-23T01:57:07.5044673Z [ RUN ] LiteInterpreterTest.Prim 2022-11-23T01:57:07.5048476Z [ OK ] LiteInterpreterTest.Prim (0 ms) 2022-11-23T01:57:07.5048852Z [ RUN ] LiteInterpreterTest.PrimScalar 2022-11-23T01:57:07.5053407Z [ OK ] LiteInterpreterTest.PrimScalar (0 ms) 2022-11-23T01:57:07.5053787Z [ RUN ] LiteInterpreterTest.LoadOrigJit 2022-11-23T01:57:07.5112074Z [ OK ] LiteInterpreterTest.LoadOrigJit (5 ms) 2022-11-23T01:57:07.5112696Z [ RUN ] LiteInterpreterTest.WrongMethodName 2022-11-23T01:57:07.5133441Z [ OK ] LiteInterpreterTest.WrongMethodName (2 ms) 2022-11-23T01:57:07.5134053Z [ RUN ] LiteInterpreterTest.SetState 2022-11-23T01:57:07.5160249Z [ OK ] LiteInterpreterTest.SetState (2 ms) 2022-11-23T01:57:07.5160860Z [ RUN ] LiteInterpreterTest.BuiltinClass 2022-11-23T01:57:07.5168858Z [ OK ] LiteInterpreterTest.BuiltinClass (0 ms) 2022-11-23T01:57:07.5169451Z [ RUN ] LiteInterpreterTest.BuiltinFunction 2022-11-23T01:57:07.5173331Z [ OK ] LiteInterpreterTest.BuiltinFunction (0 ms) 2022-11-23T01:57:07.5173809Z [ RUN ] LiteInterpreterTest.GetRuntimeByteCodeVersion 2022-11-23T01:57:07.5174238Z [ OK ] LiteInterpreterTest.GetRuntimeByteCodeVersion (0 ms) 2022-11-23T01:57:07.5174647Z [ RUN ] LiteInterpreterTest.GetRuntimeOperatorsVersion 2022-11-23T01:57:07.5175073Z [ OK ] LiteInterpreterTest.GetRuntimeOperatorsVersion (0 ms) 2022-11-23T01:57:07.5175675Z [ RUN ] LiteInterpreterTest.GetByteCodeVersion 2022-11-23T01:57:07.5178576Z [ OK ] LiteInterpreterTest.GetByteCodeVersion (0 ms) 2022-11-23T01:57:07.5179237Z [ RUN ] LiteInterpreterTest.GetContainTypes 2022-11-23T01:57:07.5181426Z [ OK ] LiteInterpreterTest.GetContainTypes (0 ms) 2022-11-23T01:57:07.5182140Z [ RUN ] LiteInterpreterTest.BackPortByteCodeModelAllVersions 2022-11-23T01:57:07.5938629Z [ OK ] LiteInterpreterTest.BackPortByteCodeModelAllVersions (75 ms) 2022-11-23T01:57:07.5939364Z [ RUN ] LiteInterpreterTest.GetRuntimeOpsAndInfo 2022-11-23T01:57:07.6004643Z [ OK ] LiteInterpreterTest.GetRuntimeOpsAndInfo (6 ms) 2022-11-23T01:57:07.6005412Z [ RUN ] LiteInterpreterTest.isCompatibleSuccess 2022-11-23T01:57:07.6063391Z [ OK ] LiteInterpreterTest.isCompatibleSuccess (5 ms) 2022-11-23T01:57:07.6064050Z [ RUN ] LiteInterpreterTest.isCompatibleFail 2022-11-23T01:57:07.6169429Z [ OK ] LiteInterpreterTest.isCompatibleFail (10 ms) 2022-11-23T01:57:07.6170002Z [ RUN ] LiteInterpreterTest.Eval 2022-11-23T01:57:07.6181639Z [ OK ] LiteInterpreterTest.Eval (1 ms) 2022-11-23T01:57:07.6182227Z [ RUN ] LiteInterpreterTest.FindWrongMethodName 2022-11-23T01:57:07.6186807Z [ OK ] LiteInterpreterTest.FindWrongMethodName (0 ms) 2022-11-23T01:57:07.6187453Z [ RUN ] LiteInterpreterTest.FindAndRunMethod 2022-11-23T01:57:07.6194915Z [ OK ] LiteInterpreterTest.FindAndRunMethod (0 ms) 2022-11-23T01:57:07.6195574Z [ RUN ] LiteInterpreterTest.RunMethodVariadic 2022-11-23T01:57:07.6202741Z [ OK ] LiteInterpreterTest.RunMethodVariadic (0 ms) 2022-11-23T01:57:07.6203388Z [ RUN ] LiteInterpreterTest.DuplicateSetState 2022-11-23T01:57:07.6214089Z [ OK ] LiteInterpreterTest.DuplicateSetState (1 ms) 2022-11-23T01:57:07.6214698Z [ RUN ] LiteInterpreterTest.ExtraFiles 2022-11-23T01:57:07.6219892Z [ OK ] LiteInterpreterTest.ExtraFiles (0 ms) 2022-11-23T01:57:07.6220588Z [ RUN ] LiteInterpreterTest.OpNameExportFetchRootOperators 2022-11-23T01:57:07.6230159Z [ OK ] LiteInterpreterTest.OpNameExportFetchRootOperators (0 ms) 2022-11-23T01:57:07.6230871Z [ RUN ] LiteInterpreterTest.DefaultArgsConv 2022-11-23T01:57:07.6245729Z [ OK ] LiteInterpreterTest.DefaultArgsConv (1 ms) 2022-11-23T01:57:07.6246506Z [ RUN ] LiteInterpreterTest.DefaultArgsPinv 2022-11-23T01:57:07.6296929Z [ OK ] LiteInterpreterTest.DefaultArgsPinv (5 ms) 2022-11-23T01:57:07.6297960Z [ RUN ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault 2022-11-23T01:57:07.6330535Z [ OK ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault (3 ms) 2022-11-23T01:57:07.6331057Z [ RUN ] LiteInterpreterTest.DefaultArgsPinvWithOutArg 2022-11-23T01:57:07.6349751Z [ OK ] LiteInterpreterTest.DefaultArgsPinvWithOutArg (1 ms) 2022-11-23T01:57:07.6350229Z [ RUN ] LiteInterpreterTest.DefaultArgsWithOutArg 2022-11-23T01:57:07.6357727Z [ OK ] LiteInterpreterTest.DefaultArgsWithOutArg (0 ms) 2022-11-23T01:57:07.6358198Z [ RUN ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy 2022-11-23T01:57:07.6458512Z [ OK ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy (10 ms) 2022-11-23T01:57:07.6459056Z [ RUN ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs 2022-11-23T01:57:07.6492343Z [ OK ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs (3 ms) 2022-11-23T01:57:07.6492755Z [ RUN ] LiteInterpreterTest.OperatorSize1 2022-11-23T01:57:07.6496902Z [ OK ] LiteInterpreterTest.OperatorSize1 (0 ms) 2022-11-23T01:57:07.6497498Z [ RUN ] LiteInterpreterTest.OperatorTest2 2022-11-23T01:57:07.6513278Z [ OK ] LiteInterpreterTest.OperatorTest2 (1 ms) 2022-11-23T01:57:07.6513927Z [----------] 42 tests from LiteInterpreterTest (158 ms total) 2022-11-23T01:57:07.6514257Z 2022-11-23T01:57:07.6514559Z [----------] 3 tests from RunTimeTest 2022-11-23T01:57:07.6515075Z [ RUN ] RunTimeTest.ParseBytecode 2022-11-23T01:57:07.6515598Z [ OK ] RunTimeTest.ParseBytecode (0 ms) 2022-11-23T01:57:07.6516278Z [ RUN ] RunTimeTest.ParseOperator 2022-11-23T01:57:07.6516835Z [ OK ] RunTimeTest.ParseOperator (0 ms) 2022-11-23T01:57:07.6517273Z [ RUN ] RunTimeTest.RuntimeCall 2022-11-23T01:57:07.6517572Z [ OK ] RunTimeTest.RuntimeCall (0 ms) 2022-11-23T01:57:07.6517884Z [----------] 3 tests from RunTimeTest (0 ms total) 2022-11-23T01:57:07.6518033Z 2022-11-23T01:57:07.6518225Z [----------] 11 tests from LiteInterpreterUpgraderTest 2022-11-23T01:57:07.6518666Z [ RUN ] LiteInterpreterUpgraderTest.DivTensorV2 2022-11-23T01:57:07.6522723Z [ OK ] LiteInterpreterUpgraderTest.DivTensorV2 (0 ms) 2022-11-23T01:57:07.6523337Z [ RUN ] LiteInterpreterUpgraderTest.DivTensorOutV2 2022-11-23T01:57:07.6527292Z [ OK ] LiteInterpreterUpgraderTest.DivTensorOutV2 (0 ms) 2022-11-23T01:57:07.6527917Z [ RUN ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 2022-11-23T01:57:07.6532809Z [ OK ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 (0 ms) 2022-11-23T01:57:07.6533419Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarFloatV2 2022-11-23T01:57:07.6541255Z [ OK ] LiteInterpreterUpgraderTest.DivScalarFloatV2 (0 ms) 2022-11-23T01:57:07.6541914Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 2022-11-23T01:57:07.6546215Z expect output: 0.5000 2022-11-23T01:57:07.6546580Z [ CPUFloatType{1} ]actual output: 0.5000 2022-11-23T01:57:07.6547241Z [ CPUFloatType{1} ][ OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 (0 ms) 2022-11-23T01:57:07.6547729Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 2022-11-23T01:57:07.6551420Z [ OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 (0 ms) 2022-11-23T01:57:07.6552023Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarScalarV2 2022-11-23T01:57:07.6556265Z [ OK ] LiteInterpreterUpgraderTest.DivScalarScalarV2 (0 ms) 2022-11-23T01:57:07.6556886Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarIntV2 2022-11-23T01:57:07.6568898Z [ OK ] LiteInterpreterUpgraderTest.DivScalarIntV2 (1 ms) 2022-11-23T01:57:07.6569588Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 2022-11-23T01:57:07.6574946Z [ OK ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 (0 ms) 2022-11-23T01:57:07.6575569Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 2022-11-23T01:57:07.6579506Z [ OK ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 (0 ms) 2022-11-23T01:57:07.6580043Z [ RUN ] LiteInterpreterUpgraderTest.Upgrader 2022-11-23T01:57:07.6580433Z [ OK ] LiteInterpreterUpgraderTest.Upgrader (0 ms) 2022-11-23T01:57:07.6580834Z [----------] 11 tests from LiteInterpreterUpgraderTest (6 ms total) 2022-11-23T01:57:07.6581030Z 2022-11-23T01:57:07.6581203Z [----------] 29 tests from LiteInterpreterDirectTest 2022-11-23T01:57:07.6581572Z [ RUN ] LiteInterpreterDirectTest.UpsampleNearest2d 2022-11-23T01:57:07.6588610Z [ OK ] LiteInterpreterDirectTest.UpsampleNearest2d (0 ms) 2022-11-23T01:57:07.6589269Z [ RUN ] LiteInterpreterDirectTest.CheckAttrAccess 2022-11-23T01:57:07.6589658Z [ OK ] LiteInterpreterDirectTest.CheckAttrAccess (0 ms) 2022-11-23T01:57:07.6590214Z [ RUN ] LiteInterpreterDirectTest.MethodInvocation 2022-11-23T01:57:07.6593720Z hello 2022-11-23T01:57:07.6601391Z hello 3 2022-11-23T01:57:07.6601563Z hello 2022-11-23T01:57:07.6601718Z hello 3 2022-11-23T01:57:07.6606522Z hello 2022-11-23T01:57:07.6606695Z hello 3 2022-11-23T01:57:07.6607467Z [ OK ] LiteInterpreterDirectTest.MethodInvocation (1 ms) 2022-11-23T01:57:07.6607859Z [ RUN ] LiteInterpreterDirectTest.Conv 2022-11-23T01:57:07.6621812Z [ OK ] LiteInterpreterDirectTest.Conv (1 ms) 2022-11-23T01:57:07.6622262Z [ RUN ] LiteInterpreterDirectTest.Inline 2022-11-23T01:57:07.6627989Z [ OK ] LiteInterpreterDirectTest.Inline (0 ms) 2022-11-23T01:57:07.6628350Z [ RUN ] LiteInterpreterDirectTest.Tuple 2022-11-23T01:57:07.6631648Z [ OK ] LiteInterpreterDirectTest.Tuple (0 ms) 2022-11-23T01:57:07.6631967Z [ RUN ] LiteInterpreterDirectTest.Dict 2022-11-23T01:57:07.6635456Z [ OK ] LiteInterpreterDirectTest.Dict (0 ms) 2022-11-23T01:57:07.6635794Z [ RUN ] LiteInterpreterDirectTest.Prim 2022-11-23T01:57:07.6638167Z [ OK ] LiteInterpreterDirectTest.Prim (0 ms) 2022-11-23T01:57:07.6638565Z [ RUN ] LiteInterpreterDirectTest.PrimScalar 2022-11-23T01:57:07.6641491Z [ OK ] LiteInterpreterDirectTest.PrimScalar (0 ms) 2022-11-23T01:57:07.6641877Z [ RUN ] LiteInterpreterDirectTest.WrongMethodName 2022-11-23T01:57:07.6660302Z [ OK ] LiteInterpreterDirectTest.WrongMethodName (1 ms) 2022-11-23T01:57:07.6660685Z [ RUN ] LiteInterpreterDirectTest.SetState 2022-11-23T01:57:07.6677458Z [ OK ] LiteInterpreterDirectTest.SetState (1 ms) 2022-11-23T01:57:07.6677853Z [ RUN ] LiteInterpreterDirectTest.BuiltinFunction 2022-11-23T01:57:07.6679765Z [ OK ] LiteInterpreterDirectTest.BuiltinFunction (0 ms) 2022-11-23T01:57:07.6680367Z [ RUN ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion 2022-11-23T01:57:07.6680906Z [ OK ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion (0 ms) 2022-11-23T01:57:07.6681380Z [ RUN ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion 2022-11-23T01:57:07.6681846Z [ OK ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion (0 ms) 2022-11-23T01:57:07.6682276Z [ RUN ] LiteInterpreterDirectTest.GetByteCodeVersion 2022-11-23T01:57:07.6682696Z [ OK ] LiteInterpreterDirectTest.GetByteCodeVersion (0 ms) 2022-11-23T01:57:07.6683097Z [ RUN ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo 2022-11-23T01:57:07.6746529Z [ OK ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo (6 ms) 2022-11-23T01:57:07.6746916Z [ RUN ] LiteInterpreterDirectTest.Eval 2022-11-23T01:57:07.6753091Z [ OK ] LiteInterpreterDirectTest.Eval (0 ms) 2022-11-23T01:57:07.6753475Z [ RUN ] LiteInterpreterDirectTest.FindWrongMethodName 2022-11-23T01:57:07.6755206Z [ OK ] LiteInterpreterDirectTest.FindWrongMethodName (0 ms) 2022-11-23T01:57:07.6755622Z [ RUN ] LiteInterpreterDirectTest.FindAndRunMethod 2022-11-23T01:57:07.6760463Z [ OK ] LiteInterpreterDirectTest.FindAndRunMethod (0 ms) 2022-11-23T01:57:07.6760876Z [ RUN ] LiteInterpreterDirectTest.RunMethodVariadic 2022-11-23T01:57:07.6765613Z [ OK ] LiteInterpreterDirectTest.RunMethodVariadic (0 ms) 2022-11-23T01:57:07.6766044Z [ RUN ] LiteInterpreterDirectTest.DuplicateSetState 2022-11-23T01:57:07.6770723Z [ OK ] LiteInterpreterDirectTest.DuplicateSetState (0 ms) 2022-11-23T01:57:07.6771185Z [ RUN ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators 2022-11-23T01:57:07.6775911Z [ OK ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators (0 ms) 2022-11-23T01:57:07.6776536Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsConv 2022-11-23T01:57:07.6786332Z [ OK ] LiteInterpreterDirectTest.DefaultArgsConv (0 ms) 2022-11-23T01:57:07.6786859Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsPinv 2022-11-23T01:57:07.6823451Z [ OK ] LiteInterpreterDirectTest.DefaultArgsPinv (3 ms) 2022-11-23T01:57:07.6823983Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault 2022-11-23T01:57:07.6830750Z [ OK ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault (0 ms) 2022-11-23T01:57:07.6831244Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg 2022-11-23T01:57:07.6850835Z [ OK ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg (1 ms) 2022-11-23T01:57:07.6851353Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsWithOutArg 2022-11-23T01:57:07.6856343Z [ OK ] LiteInterpreterDirectTest.DefaultArgsWithOutArg (0 ms) 2022-11-23T01:57:07.6856951Z [ RUN ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy 2022-11-23T01:57:07.6952349Z [ OK ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy (9 ms) 2022-11-23T01:57:07.6952976Z [ RUN ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs 2022-11-23T01:57:07.6973410Z [ OK ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs (2 ms) 2022-11-23T01:57:07.6973915Z [----------] 29 tests from LiteInterpreterDirectTest (39 ms total) 2022-11-23T01:57:07.6974107Z 2022-11-23T01:57:07.6974262Z [----------] 7 tests from LiteTrainerTest 2022-11-23T01:57:07.6974541Z [ RUN ] LiteTrainerTest.Params 2022-11-23T01:57:07.7061503Z [ OK ] LiteTrainerTest.Params (8 ms) 2022-11-23T01:57:07.7061791Z [ RUN ] LiteTrainerTest.SGD 2022-11-23T01:57:07.7133240Z [ OK ] LiteTrainerTest.SGD (7 ms) 2022-11-23T01:57:07.7133796Z [ RUN ] LiteTrainerTest.SequentialSampler 2022-11-23T01:57:07.7134358Z [ OK ] LiteTrainerTest.SequentialSampler (0 ms) 2022-11-23T01:57:07.7134791Z [ RUN ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange 2022-11-23T01:57:07.7135281Z [ OK ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms) 2022-11-23T01:57:07.7135778Z [ RUN ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch 2022-11-23T01:57:07.7136289Z [ OK ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms) 2022-11-23T01:57:07.7136709Z [ RUN ] LiteTrainerTest.RandomSamplerResetsWell 2022-11-23T01:57:07.7137094Z [ OK ] LiteTrainerTest.RandomSamplerResetsWell (0 ms) 2022-11-23T01:57:07.7137509Z [ RUN ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell 2022-11-23T01:57:07.7137958Z [ OK ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T01:57:07.7138348Z [----------] 7 tests from LiteTrainerTest (16 ms total) 2022-11-23T01:57:07.7138510Z 2022-11-23T01:57:07.7138652Z [----------] 6 tests from MobileTest 2022-11-23T01:57:07.7138960Z [ RUN ] MobileTest.SaveLoadParametersEmpty 2022-11-23T01:57:07.7141000Z [ OK ] MobileTest.SaveLoadParametersEmpty (0 ms) 2022-11-23T01:57:07.7141409Z [ RUN ] MobileTest.SaveParametersDefaultsToZip 2022-11-23T01:57:07.7141973Z [ OK ] MobileTest.SaveParametersDefaultsToZip (0 ms) 2022-11-23T01:57:07.7142439Z [ RUN ] MobileTest.SaveParametersCanUseFlatbuffer 2022-11-23T01:57:07.7142822Z [ OK ] MobileTest.SaveParametersCanUseFlatbuffer (0 ms) 2022-11-23T01:57:07.7143286Z [ RUN ] MobileTest.SaveLoadParametersUsingFlatbuffers 2022-11-23T01:57:07.7143705Z [ OK ] MobileTest.SaveLoadParametersUsingFlatbuffers (0 ms) 2022-11-23T01:57:07.7144317Z [ RUN ] MobileTest.LoadParametersUnexpectedFormatShouldThrow 2022-11-23T01:57:07.7165138Z [ OK ] MobileTest.LoadParametersUnexpectedFormatShouldThrow (2 ms) 2022-11-23T01:57:07.7165624Z [ RUN ] MobileTest.LoadParametersEmptyDataShouldThrow 2022-11-23T01:57:07.7186647Z [ OK ] MobileTest.LoadParametersEmptyDataShouldThrow (2 ms) 2022-11-23T01:57:07.7187180Z [----------] 6 tests from MobileTest (5 ms total) 2022-11-23T01:57:07.7187462Z 2022-11-23T01:57:07.7187614Z [----------] 1 test from MemoryDAGTest 2022-11-23T01:57:07.7187885Z [ RUN ] MemoryDAGTest.Basic 2022-11-23T01:57:07.7188162Z [ OK ] MemoryDAGTest.Basic (0 ms) 2022-11-23T01:57:07.7188455Z [----------] 1 test from MemoryDAGTest (0 ms total) 2022-11-23T01:57:07.7188606Z 2022-11-23T01:57:07.7188767Z [----------] 1 test from InternedStringsTest 2022-11-23T01:57:07.7189064Z [ RUN ] InternedStringsTest.Basic 2022-11-23T01:57:07.7196797Z [ OK ] InternedStringsTest.Basic (0 ms) 2022-11-23T01:57:07.7197315Z [----------] 1 test from InternedStringsTest (0 ms total) 2022-11-23T01:57:07.7197588Z 2022-11-23T01:57:07.7197827Z [----------] 1 test from FromQualStringTest 2022-11-23T01:57:07.7198121Z [ RUN ] FromQualStringTest.Basic 2022-11-23T01:57:07.7198416Z [ OK ] FromQualStringTest.Basic (0 ms) 2022-11-23T01:57:07.7198828Z [----------] 1 test from FromQualStringTest (0 ms total) 2022-11-23T01:57:07.7198996Z 2022-11-23T01:57:07.7199140Z [----------] 1 test from THNNConvTest 2022-11-23T01:57:07.7199389Z [ RUN ] THNNConvTest.Basic 2022-11-23T01:57:07.7213376Z [ OK ] THNNConvTest.Basic (1 ms) 2022-11-23T01:57:07.7213826Z [----------] 1 test from THNNConvTest (1 ms total) 2022-11-23T01:57:07.7214671Z 2022-11-23T01:57:07.7214951Z [----------] 1 test from ATenNativeBatchNormTest 2022-11-23T01:57:07.7215284Z [ RUN ] ATenNativeBatchNormTest.Basic 2022-11-23T01:57:07.7223538Z [ OK ] ATenNativeBatchNormTest.Basic (1 ms) 2022-11-23T01:57:07.7224135Z [----------] 1 test from ATenNativeBatchNormTest (1 ms total) 2022-11-23T01:57:07.7224462Z 2022-11-23T01:57:07.7224671Z [----------] 2 tests from CustomFusionTest 2022-11-23T01:57:07.7225249Z [ RUN ] CustomFusionTest.Basic 2022-11-23T01:57:07.7225579Z [ OK ] CustomFusionTest.Basic (0 ms) 2022-11-23T01:57:07.7225886Z [ RUN ] CustomFusionTest.NestedBlocks 2022-11-23T01:57:07.7227513Z [ OK ] CustomFusionTest.NestedBlocks (0 ms) 2022-11-23T01:57:07.7227968Z [----------] 2 tests from CustomFusionTest (0 ms total) 2022-11-23T01:57:07.7228131Z 2022-11-23T01:57:07.7228281Z [----------] 1 test from ControlFlowTest 2022-11-23T01:57:07.7228556Z [ RUN ] ControlFlowTest.Basic 2022-11-23T01:57:07.7235432Z [ OK ] ControlFlowTest.Basic (0 ms) 2022-11-23T01:57:07.7236235Z [----------] 1 test from ControlFlowTest (0 ms total) 2022-11-23T01:57:07.7236508Z 2022-11-23T01:57:07.7236756Z [----------] 1 test from ProtoTest 2022-11-23T01:57:07.7237210Z [ RUN ] ProtoTest.Basic 2022-11-23T01:57:07.7237622Z [ OK ] ProtoTest.Basic (0 ms) 2022-11-23T01:57:07.7238092Z [----------] 1 test from ProtoTest (0 ms total) 2022-11-23T01:57:07.7238264Z 2022-11-23T01:57:07.7238543Z [----------] 9 tests from SchemaParserTest 2022-11-23T01:57:07.7238913Z [ RUN ] SchemaParserTest.NestedArrays 2022-11-23T01:57:07.7239241Z [ OK ] SchemaParserTest.NestedArrays (0 ms) 2022-11-23T01:57:07.7239674Z [ RUN ] SchemaParserTest.OutVariant 2022-11-23T01:57:07.7240204Z [ OK ] SchemaParserTest.OutVariant (0 ms) 2022-11-23T01:57:07.7240721Z [ RUN ] SchemaParserTest.NamedReturns 2022-11-23T01:57:07.7241048Z [ OK ] SchemaParserTest.NamedReturns (0 ms) 2022-11-23T01:57:07.7241478Z [ RUN ] SchemaParserTest.Futures 2022-11-23T01:57:07.7241838Z [ OK ] SchemaParserTest.Futures (0 ms) 2022-11-23T01:57:07.7242311Z [ RUN ] SchemaParserTest.AnnotatedAliasSets 2022-11-23T01:57:07.7242762Z [ OK ] SchemaParserTest.AnnotatedAliasSets (0 ms) 2022-11-23T01:57:07.7243307Z [ RUN ] SchemaParserTest.TensorListAnnotatedAliasSets 2022-11-23T01:57:07.7244137Z [ OK ] SchemaParserTest.TensorListAnnotatedAliasSets (0 ms) 2022-11-23T01:57:07.7244562Z [ RUN ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet 2022-11-23T01:57:07.7245154Z [ OK ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet (0 ms) 2022-11-23T01:57:07.7245532Z [ RUN ] SchemaParserTest.BeforeAfterSets 2022-11-23T01:57:07.7245873Z [ OK ] SchemaParserTest.BeforeAfterSets (0 ms) 2022-11-23T01:57:07.7246214Z [ RUN ] SchemaParserTest.BeforeAfterSets2 2022-11-23T01:57:07.7246549Z [ OK ] SchemaParserTest.BeforeAfterSets2 (0 ms) 2022-11-23T01:57:07.7246898Z [----------] 9 tests from SchemaParserTest (0 ms total) 2022-11-23T01:57:07.7247058Z 2022-11-23T01:57:07.7247226Z [----------] 2 tests from TopologicalIndexTest 2022-11-23T01:57:07.7247516Z [ RUN ] TopologicalIndexTest.Basic 2022-11-23T01:57:07.7247826Z [ OK ] TopologicalIndexTest.Basic (0 ms) 2022-11-23T01:57:07.7248135Z [ RUN ] TopologicalIndexTest.Reindex 2022-11-23T01:57:07.7248450Z [ OK ] TopologicalIndexTest.Reindex (0 ms) 2022-11-23T01:57:07.7248793Z [----------] 2 tests from TopologicalIndexTest (0 ms total) 2022-11-23T01:57:07.7249003Z 2022-11-23T01:57:07.7249168Z [----------] 7 tests from RecordFunctionTest 2022-11-23T01:57:07.7249524Z [ RUN ] RecordFunctionTest.TracedTestInputsOutputs 2022-11-23T01:57:07.7250198Z [ OK ] RecordFunctionTest.TracedTestInputsOutputs (0 ms) 2022-11-23T01:57:07.7250578Z [ RUN ] RecordFunctionTest.SampledCallbacks 2022-11-23T01:57:07.7308145Z [ OK ] RecordFunctionTest.SampledCallbacks (5 ms) 2022-11-23T01:57:07.7308569Z [ RUN ] RecordFunctionTest.RecordFunctionGuard 2022-11-23T01:57:07.7308938Z [ OK ] RecordFunctionTest.RecordFunctionGuard (0 ms) 2022-11-23T01:57:07.7309280Z [ RUN ] RecordFunctionTest.Callbacks 2022-11-23T01:57:07.7311084Z [ OK ] RecordFunctionTest.Callbacks (0 ms) 2022-11-23T01:57:07.7311411Z [ RUN ] RecordFunctionTest.ShouldRun 2022-11-23T01:57:07.7311866Z [ OK ] RecordFunctionTest.ShouldRun (0 ms) 2022-11-23T01:57:07.7312212Z [ RUN ] RecordFunctionTest.Basic 2022-11-23T01:57:07.7313045Z [ OK ] RecordFunctionTest.Basic (0 ms) 2022-11-23T01:57:07.7313457Z [ RUN ] RecordFunctionTest.OperatorNameOverload 2022-11-23T01:57:07.7314047Z [ OK ] RecordFunctionTest.OperatorNameOverload (0 ms) 2022-11-23T01:57:07.7314682Z [----------] 7 tests from RecordFunctionTest (7 ms total) 2022-11-23T01:57:07.7314852Z 2022-11-23T01:57:07.7315059Z [----------] 1 test from ThreadLocalDebugInfoTest 2022-11-23T01:57:07.7315517Z [ RUN ] ThreadLocalDebugInfoTest.Basic 2022-11-23T01:57:07.7316125Z [ OK ] ThreadLocalDebugInfoTest.Basic (0 ms) 2022-11-23T01:57:07.7316757Z [----------] 1 test from ThreadLocalDebugInfoTest (0 ms total) 2022-11-23T01:57:07.7317052Z 2022-11-23T01:57:07.7317223Z [----------] 1 test from TestSymIntArrayRef 2022-11-23T01:57:07.7317539Z [ RUN ] TestSymIntArrayRef.BasicConversion 2022-11-23T01:57:07.7317968Z [ OK ] TestSymIntArrayRef.BasicConversion (0 ms) 2022-11-23T01:57:07.7318424Z [----------] 1 test from TestSymIntArrayRef (0 ms total) 2022-11-23T01:57:07.7318773Z 2022-11-23T01:57:07.7319210Z [----------] 4 tests from TestSymInt 2022-11-23T01:57:07.7319539Z [ RUN ] TestSymInt.NarrowCopyWithSymbolicInt 2022-11-23T01:57:07.7319979Z [ OK ] TestSymInt.NarrowCopyWithSymbolicInt (0 ms) 2022-11-23T01:57:07.7320365Z [ RUN ] TestSymInt.NarrowCopy 2022-11-23T01:57:07.7320897Z [ OK ] TestSymInt.NarrowCopy (0 ms) 2022-11-23T01:57:07.7321297Z [ RUN ] TestSymInt.AddSymbolicInt 2022-11-23T01:57:07.7321649Z [ OK ] TestSymInt.AddSymbolicInt (0 ms) 2022-11-23T01:57:07.7321987Z [ RUN ] TestSymInt.TestSymIntToSymNodeDispatch 2022-11-23T01:57:07.7322362Z [ OK ] TestSymInt.TestSymIntToSymNodeDispatch (0 ms) 2022-11-23T01:57:07.7322711Z [----------] 4 tests from TestSymInt (0 ms total) 2022-11-23T01:57:07.7322845Z 2022-11-23T01:57:07.7323008Z [----------] 1 test from FallbackGraphsTest 2022-11-23T01:57:07.7323301Z [ RUN ] FallbackGraphsTest.Basic 2022-11-23T01:57:07.7327681Z [ OK ] FallbackGraphsTest.Basic (0 ms) 2022-11-23T01:57:07.7328305Z [----------] 1 test from FallbackGraphsTest (0 ms total) 2022-11-23T01:57:07.7328586Z 2022-11-23T01:57:07.7328860Z [----------] 1 test from NoneSchemaMatchTest 2022-11-23T01:57:07.7329381Z [ RUN ] NoneSchemaMatchTest.Basic 2022-11-23T01:57:07.7329943Z [ OK ] NoneSchemaMatchTest.Basic (0 ms) 2022-11-23T01:57:07.7330553Z [----------] 1 test from NoneSchemaMatchTest (0 ms total) 2022-11-23T01:57:07.7330853Z 2022-11-23T01:57:07.7331147Z [----------] 1 test from PassManagementTest 2022-11-23T01:57:07.7331678Z [ RUN ] PassManagementTest.Basic 2022-11-23T01:57:07.7332208Z [ OK ] PassManagementTest.Basic (0 ms) 2022-11-23T01:57:07.7332803Z [----------] 1 test from PassManagementTest (0 ms total) 2022-11-23T01:57:07.7333095Z 2022-11-23T01:57:07.7333250Z [----------] 5 tests from LoopPeelerTest 2022-11-23T01:57:07.7333779Z [ RUN ] LoopPeelerTest.NoInductionVariableUse 2022-11-23T01:57:07.7334404Z [ OK ] LoopPeelerTest.NoInductionVariableUse (0 ms) 2022-11-23T01:57:07.7334775Z [ RUN ] LoopPeelerTest.YesInductionVariableUse 2022-11-23T01:57:07.7336867Z [ OK ] LoopPeelerTest.YesInductionVariableUse (0 ms) 2022-11-23T01:57:07.7337460Z [ RUN ] LoopPeelerTest.LoopWithTerminationCondition 2022-11-23T01:57:07.7341000Z [ OK ] LoopPeelerTest.LoopWithTerminationCondition (0 ms) 2022-11-23T01:57:07.7341582Z [ RUN ] LoopPeelerTest.SimpleNestedLoops 2022-11-23T01:57:07.7346592Z [ OK ] LoopPeelerTest.SimpleNestedLoops (0 ms) 2022-11-23T01:57:07.7347162Z [ RUN ] LoopPeelerTest.SimpleNestedLoops2 2022-11-23T01:57:07.7354504Z [ OK ] LoopPeelerTest.SimpleNestedLoops2 (0 ms) 2022-11-23T01:57:07.7355138Z [----------] 5 tests from LoopPeelerTest (2 ms total) 2022-11-23T01:57:07.7355306Z 2022-11-23T01:57:07.7355456Z [----------] 1 test from JitTracing 2022-11-23T01:57:07.7355699Z [ RUN ] JitTracing.Basic 2022-11-23T01:57:07.7493193Z [ OK ] JitTracing.Basic (13 ms) 2022-11-23T01:57:07.7493682Z [----------] 1 test from JitTracing (13 ms total) 2022-11-23T01:57:07.7493844Z 2022-11-23T01:57:07.7494069Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest 2022-11-23T01:57:07.7494477Z [ RUN ] InsertAndEliminateRedundantGuardsTest.Basic 2022-11-23T01:57:07.7498048Z [ OK ] InsertAndEliminateRedundantGuardsTest.Basic (0 ms) 2022-11-23T01:57:07.7498486Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest (0 ms total) 2022-11-23T01:57:07.7498701Z 2022-11-23T01:57:07.7498863Z [----------] 1 test from InsertBailOutsTest 2022-11-23T01:57:07.7499155Z [ RUN ] InsertBailOutsTest.Basic 2022-11-23T01:57:07.7507312Z [ OK ] InsertBailOutsTest.Basic (0 ms) 2022-11-23T01:57:07.7507909Z [----------] 1 test from InsertBailOutsTest (0 ms total) 2022-11-23T01:57:07.7508084Z 2022-11-23T01:57:07.7508238Z [----------] 2 tests from ProfilerTest 2022-11-23T01:57:07.7508508Z [ RUN ] ProfilerTest.Basic 2022-11-23T01:57:07.7617463Z [ OK ] ProfilerTest.Basic (10 ms) 2022-11-23T01:57:07.7617819Z [ RUN ] ProfilerTest.OptionalProfiling 2022-11-23T01:57:07.7619662Z [ OK ] ProfilerTest.OptionalProfiling (0 ms) 2022-11-23T01:57:07.7620309Z [----------] 2 tests from ProfilerTest (11 ms total) 2022-11-23T01:57:07.7620506Z 2022-11-23T01:57:07.7620643Z [----------] 2 tests from CallStackTest 2022-11-23T01:57:07.7620915Z [ RUN ] CallStackTest.Basic 2022-11-23T01:57:07.7624725Z [ OK ] CallStackTest.Basic (0 ms) 2022-11-23T01:57:07.7624999Z [ RUN ] CallStackTest.Caching 2022-11-23T01:57:07.7628209Z [ OK ] CallStackTest.Caching (0 ms) 2022-11-23T01:57:07.7628562Z [----------] 2 tests from CallStackTest (0 ms total) 2022-11-23T01:57:07.7628719Z 2022-11-23T01:57:07.7628887Z [----------] 2 tests from InlinedCallStackTest 2022-11-23T01:57:07.7629202Z [ RUN ] InlinedCallStackTest.BlockAnnotation 2022-11-23T01:57:07.7635184Z [ OK ] InlinedCallStackTest.BlockAnnotation (0 ms) 2022-11-23T01:57:07.7635599Z [ RUN ] InlinedCallStackTest.SelfCallMethods 2022-11-23T01:57:07.7643988Z [ OK ] InlinedCallStackTest.SelfCallMethods (0 ms) 2022-11-23T01:57:07.7644605Z [----------] 2 tests from InlinedCallStackTest (1 ms total) 2022-11-23T01:57:07.7645096Z 2022-11-23T01:57:07.7645337Z [----------] 1 test from AutogradSymbolsTest 2022-11-23T01:57:07.7645642Z [ RUN ] AutogradSymbolsTest.Basic 2022-11-23T01:57:07.7645953Z [ OK ] AutogradSymbolsTest.Basic (0 ms) 2022-11-23T01:57:07.7646299Z [----------] 1 test from AutogradSymbolsTest (0 ms total) 2022-11-23T01:57:07.7646533Z 2022-11-23T01:57:07.7646835Z [----------] 1 test from DefaultArgTypeHintingTest 2022-11-23T01:57:07.7647363Z [ RUN ] DefaultArgTypeHintingTest.Basic 2022-11-23T01:57:07.7647948Z [ OK ] DefaultArgTypeHintingTest.Basic (0 ms) 2022-11-23T01:57:07.7648625Z [----------] 1 test from DefaultArgTypeHintingTest (0 ms total) 2022-11-23T01:57:07.7648954Z 2022-11-23T01:57:07.7649215Z [----------] 5 tests from FuturesTest 2022-11-23T01:57:07.7649687Z [ RUN ] FuturesTest.Basic 2022-11-23T01:57:07.7650044Z [ OK ] FuturesTest.Basic (0 ms) 2022-11-23T01:57:07.7650289Z [ RUN ] FuturesTest.Error 2022-11-23T01:57:07.7660441Z [ OK ] FuturesTest.Error (1 ms) 2022-11-23T01:57:07.7660841Z [ RUN ] FuturesTest.Then 2022-11-23T01:57:07.7661223Z [ OK ] FuturesTest.Then (0 ms) 2022-11-23T01:57:07.7661680Z [ RUN ] FuturesTest.CollectAll 2022-11-23T01:57:07.7662208Z [ OK ] FuturesTest.CollectAll (0 ms) 2022-11-23T01:57:07.7662712Z [ RUN ] FuturesTest.CollectAny 2022-11-23T01:57:07.7663235Z [ OK ] FuturesTest.CollectAny (0 ms) 2022-11-23T01:57:07.7663690Z [----------] 5 tests from FuturesTest (1 ms total) 2022-11-23T01:57:07.7663848Z 2022-11-23T01:57:07.7664019Z [----------] 1 test from TLSFutureCallbacksTest 2022-11-23T01:57:07.7664375Z [ RUN ] TLSFutureCallbacksTest.Basic 2022-11-23T01:57:07.7665735Z [ OK ] TLSFutureCallbacksTest.Basic (0 ms) 2022-11-23T01:57:07.7666398Z [----------] 1 test from TLSFutureCallbacksTest (0 ms total) 2022-11-23T01:57:07.7666630Z 2022-11-23T01:57:07.7666862Z [----------] 1 test from ProfilerDisableInCallbackTest 2022-11-23T01:57:07.7667228Z [ RUN ] ProfilerDisableInCallbackTest.Basic 2022-11-23T01:57:07.7668406Z [ OK ] ProfilerDisableInCallbackTest.Basic (0 ms) 2022-11-23T01:57:07.7668803Z [----------] 1 test from ProfilerDisableInCallbackTest (0 ms total) 2022-11-23T01:57:07.7668994Z 2022-11-23T01:57:07.7669144Z [----------] 2 tests from RecordDebugHandles 2022-11-23T01:57:07.7669444Z [ RUN ] RecordDebugHandles.Basic 2022-11-23T01:57:07.7671492Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:57:07.7673217Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:57:07.7674020Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:57:07.7674621Z [ OK ] RecordDebugHandles.Basic (0 ms) 2022-11-23T01:57:07.7675124Z [ RUN ] RecordDebugHandles.ScopedCallbacks 2022-11-23T01:57:07.7675929Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:57:07.7681120Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:57:07.7681670Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:57:07.7682270Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:57:07.7686030Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:57:07.7686564Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:57:07.7687220Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:57:07.7693154Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:57:07.7693708Z STAGE:2022-11-23 01:57:07 19013:19013 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:57:07.7694116Z [ OK ] RecordDebugHandles.ScopedCallbacks (1 ms) 2022-11-23T01:57:07.7694477Z [----------] 2 tests from RecordDebugHandles (2 ms total) 2022-11-23T01:57:07.7694643Z 2022-11-23T01:57:07.7694784Z [----------] 1 test from IValueKWargsTest 2022-11-23T01:57:07.7695071Z [ RUN ] IValueKWargsTest.Basic 2022-11-23T01:57:07.7725512Z [ OK ] IValueKWargsTest.Basic (0 ms) 2022-11-23T01:57:07.7726063Z [----------] 1 test from IValueKWargsTest (0 ms total) 2022-11-23T01:57:07.7726335Z 2022-11-23T01:57:07.7726626Z [----------] 1 test from ComputeFlopsTest 2022-11-23T01:57:07.7727112Z [ RUN ] ComputeFlopsTest.Basic 2022-11-23T01:57:07.7727783Z [W util.cpp:501] Warning: Failed to compute flops for op aten::conv2d because both input and weight must be size 4. (function computeFlops) 2022-11-23T01:57:07.7728566Z [W util.cpp:516] Warning: Failed to compute flops for op aten::conv2d because stride must be size 2 and cannot be 0. (function computeFlops) 2022-11-23T01:57:07.7729360Z [W util.cpp:472] Warning: Calculating flops for aten::conv2d requires groups, padding, stride, dilation, input_size, and weight_size in saved arguments. (function computeFlops) 2022-11-23T01:57:07.7729824Z [W util.cpp:545] Warning: Calculating flops for aten::mm requires mat1_size and mat2_size in saved arguments. (function computeFlops) 2022-11-23T01:57:07.7730211Z [ OK ] ComputeFlopsTest.Basic (0 ms) 2022-11-23T01:57:07.7730527Z [----------] 1 test from ComputeFlopsTest (0 ms total) 2022-11-23T01:57:07.7730687Z 2022-11-23T01:57:07.7730830Z [----------] 1 test from TestConstant 2022-11-23T01:57:07.7731105Z [ RUN ] TestConstant.TensorGrad 2022-11-23T01:57:07.7731403Z [ OK ] TestConstant.TensorGrad (0 ms) 2022-11-23T01:57:07.7731703Z [----------] 1 test from TestConstant (0 ms total) 2022-11-23T01:57:07.7731864Z 2022-11-23T01:57:07.7732154Z [----------] 1 test from TestMutation 2022-11-23T01:57:07.7732418Z [ RUN ] TestMutation.Basic 2022-11-23T01:57:07.7732677Z [ OK ] TestMutation.Basic (0 ms) 2022-11-23T01:57:07.7732980Z [----------] 1 test from TestMutation (0 ms total) 2022-11-23T01:57:07.7733127Z 2022-11-23T01:57:07.7733329Z [----------] 1 test from TestInplaceToFunctionalActivation 2022-11-23T01:57:07.7733759Z [ RUN ] TestInplaceToFunctionalActivation.Basic 2022-11-23T01:57:07.7734125Z [ OK ] TestInplaceToFunctionalActivation.Basic (0 ms) 2022-11-23T01:57:07.7734533Z [----------] 1 test from TestInplaceToFunctionalActivation (0 ms total) 2022-11-23T01:57:07.7734728Z 2022-11-23T01:57:07.7734890Z [----------] 1 test from TestRegisterShapeOp 2022-11-23T01:57:07.7735174Z [ RUN ] TestRegisterShapeOp.Basic 2022-11-23T01:57:07.8897790Z [ OK ] TestRegisterShapeOp.Basic (119 ms) 2022-11-23T01:57:07.8898191Z [----------] 1 test from TestRegisterShapeOp (119 ms total) 2022-11-23T01:57:07.8898373Z 2022-11-23T01:57:07.8898638Z [----------] 1 test from TestFunctionalToInplaceActivation 2022-11-23T01:57:07.8898999Z [ RUN ] TestFunctionalToInplaceActivation.Basic 2022-11-23T01:57:07.8899447Z [ OK ] TestFunctionalToInplaceActivation.Basic (0 ms) 2022-11-23T01:57:07.8899864Z [----------] 1 test from TestFunctionalToInplaceActivation (0 ms total) 2022-11-23T01:57:07.8900120Z 2022-11-23T01:57:07.8900292Z [----------] 2 tests from TestFunctionExecutor 2022-11-23T01:57:07.8900620Z [ RUN ] TestFunctionExecutor.SimpleExecutorTest 2022-11-23T01:57:07.8902608Z [ OK ] TestFunctionExecutor.SimpleExecutorTest (0 ms) 2022-11-23T01:57:07.8903123Z [ RUN ] TestFunctionExecutor.RunDecompositionTest 2022-11-23T01:57:07.8919190Z [ OK ] TestFunctionExecutor.RunDecompositionTest (1 ms) 2022-11-23T01:57:07.8919919Z [----------] 2 tests from TestFunctionExecutor (2 ms total) 2022-11-23T01:57:07.8920119Z 2022-11-23T01:57:07.8920292Z [----------] 1 test from TestShapeGraphLinting 2022-11-23T01:57:07.8920598Z [ RUN ] TestShapeGraphLinting.Basic 2022-11-23T01:57:07.8927294Z [ OK ] TestShapeGraphLinting.Basic (0 ms) 2022-11-23T01:57:07.8927735Z [----------] 1 test from TestShapeGraphLinting (0 ms total) 2022-11-23T01:57:07.8927911Z 2022-11-23T01:57:07.8928048Z [----------] 1 test from Composed 2022-11-23T01:57:07.8928311Z [ RUN ] Composed.ComposedOp 2022-11-23T01:57:08.1967165Z [ OK ] Composed.ComposedOp (303 ms) 2022-11-23T01:57:08.1967763Z [----------] 1 test from Composed (303 ms total) 2022-11-23T01:57:08.1967922Z 2022-11-23T01:57:08.1968100Z [----------] 1 test from ConstantPropagation 2022-11-23T01:57:08.1968475Z [ RUN ] ConstantPropagation.CustomClassesCanBePropagated 2022-11-23T01:57:08.1972853Z [ OK ] ConstantPropagation.CustomClassesCanBePropagated (0 ms) 2022-11-23T01:57:08.1973605Z [----------] 1 test from ConstantPropagation (0 ms total) 2022-11-23T01:57:08.1973875Z 2022-11-23T01:57:08.1974168Z [----------] 19 tests from MobileTypeParserTest 2022-11-23T01:57:08.1974604Z [ RUN ] MobileTypeParserTest.Int 2022-11-23T01:57:08.1975136Z [ OK ] MobileTypeParserTest.Int (0 ms) 2022-11-23T01:57:08.1975790Z [ RUN ] MobileTypeParserTest.NestedContainersAnnotationStr 2022-11-23T01:57:08.1976237Z [ OK ] MobileTypeParserTest.NestedContainersAnnotationStr (0 ms) 2022-11-23T01:57:08.1976636Z [ RUN ] MobileTypeParserTest.TorchBindClass 2022-11-23T01:57:08.1976991Z [ OK ] MobileTypeParserTest.TorchBindClass (0 ms) 2022-11-23T01:57:08.1977361Z [ RUN ] MobileTypeParserTest.ListOfTorchBindClass 2022-11-23T01:57:08.1977937Z [ OK ] MobileTypeParserTest.ListOfTorchBindClass (0 ms) 2022-11-23T01:57:08.1978404Z [ RUN ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces 2022-11-23T01:57:08.1978926Z [ OK ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces (0 ms) 2022-11-23T01:57:08.1979329Z [ RUN ] MobileTypeParserTest.NamedTuple 2022-11-23T01:57:08.1979666Z [ OK ] MobileTypeParserTest.NamedTuple (0 ms) 2022-11-23T01:57:08.1980115Z [ RUN ] MobileTypeParserTest.DictNestedNamedTupleTypeList 2022-11-23T01:57:08.1980556Z [ OK ] MobileTypeParserTest.DictNestedNamedTupleTypeList (0 ms) 2022-11-23T01:57:08.1981004Z [ RUN ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList 2022-11-23T01:57:08.1981491Z [ OK ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList (0 ms) 2022-11-23T01:57:08.1981941Z [ RUN ] MobileTypeParserTest.NamedTupleNestedNamedTuple 2022-11-23T01:57:08.1982363Z [ OK ] MobileTypeParserTest.NamedTupleNestedNamedTuple (0 ms) 2022-11-23T01:57:08.1982722Z [ RUN ] MobileTypeParserTest.Empty 2022-11-23T01:57:08.2008828Z [ OK ] MobileTypeParserTest.Empty (3 ms) 2022-11-23T01:57:08.2009177Z [ RUN ] MobileTypeParserTest.TypoRaises 2022-11-23T01:57:08.2046125Z [ OK ] MobileTypeParserTest.TypoRaises (3 ms) 2022-11-23T01:57:08.2046502Z [ RUN ] MobileTypeParserTest.MismatchBracketRaises 2022-11-23T01:57:08.2095817Z [ OK ] MobileTypeParserTest.MismatchBracketRaises (4 ms) 2022-11-23T01:57:08.2096212Z [ RUN ] MobileTypeParserTest.MismatchBracketRaises2 2022-11-23T01:57:08.2133625Z [ OK ] MobileTypeParserTest.MismatchBracketRaises2 (3 ms) 2022-11-23T01:57:08.2134035Z [ RUN ] MobileTypeParserTest.DictWithoutValueRaises 2022-11-23T01:57:08.2165990Z [ OK ] MobileTypeParserTest.DictWithoutValueRaises (3 ms) 2022-11-23T01:57:08.2166405Z [ RUN ] MobileTypeParserTest.ListArgCountMismatchRaises 2022-11-23T01:57:08.2203444Z [ OK ] MobileTypeParserTest.ListArgCountMismatchRaises (3 ms) 2022-11-23T01:57:08.2203878Z [ RUN ] MobileTypeParserTest.DictArgCountMismatchRaises 2022-11-23T01:57:08.2235293Z [ OK ] MobileTypeParserTest.DictArgCountMismatchRaises (3 ms) 2022-11-23T01:57:08.2235874Z [ RUN ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises 2022-11-23T01:57:08.2256496Z [ OK ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises (2 ms) 2022-11-23T01:57:08.2256953Z [ RUN ] MobileTypeParserTest.NonIdentifierRaises 2022-11-23T01:57:08.2277434Z [ OK ] MobileTypeParserTest.NonIdentifierRaises (2 ms) 2022-11-23T01:57:08.2277951Z [ RUN ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises 2022-11-23T01:57:08.2320648Z [ OK ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises (4 ms) 2022-11-23T01:57:08.2321410Z [----------] 19 tests from MobileTypeParserTest (34 ms total) 2022-11-23T01:57:08.2321589Z 2022-11-23T01:57:08.2321731Z [----------] 13 tests from ModuleAPITest 2022-11-23T01:57:08.2322027Z [ RUN ] ModuleAPITest.MethodRunAsync 2022-11-23T01:57:08.2347985Z [ OK ] ModuleAPITest.MethodRunAsync (2 ms) 2022-11-23T01:57:08.2348344Z [ RUN ] ModuleAPITest.Clone 2022-11-23T01:57:08.2348621Z [ OK ] ModuleAPITest.Clone (0 ms) 2022-11-23T01:57:08.2348951Z [ RUN ] ModuleAPITest.CloneWithModuleInterface 2022-11-23T01:57:08.2357101Z [ OK ] ModuleAPITest.CloneWithModuleInterface (0 ms) 2022-11-23T01:57:08.2357602Z [ RUN ] ModuleAPITest.Copy 2022-11-23T01:57:08.2357997Z [ OK ] ModuleAPITest.Copy (0 ms) 2022-11-23T01:57:08.2358531Z [ RUN ] ModuleAPITest.DeepCopy 2022-11-23T01:57:08.2359282Z [ OK ] ModuleAPITest.DeepCopy (0 ms) 2022-11-23T01:57:08.2359812Z [ RUN ] ModuleAPITest.DeepCopyString 2022-11-23T01:57:08.2360322Z [ OK ] ModuleAPITest.DeepCopyString (0 ms) 2022-11-23T01:57:08.2360633Z [ RUN ] ModuleAPITest.DeepCopyEnum 2022-11-23T01:57:08.2360930Z [ OK ] ModuleAPITest.DeepCopyEnum (0 ms) 2022-11-23T01:57:08.2361289Z [ RUN ] ModuleAPITest.DeepCopyPreservesAliasing 2022-11-23T01:57:08.2361743Z [ OK ] ModuleAPITest.DeepCopyPreservesAliasing (0 ms) 2022-11-23T01:57:08.2362060Z [ RUN ] ModuleAPITest.Constants 2022-11-23T01:57:08.2362354Z [ OK ] ModuleAPITest.Constants (0 ms) 2022-11-23T01:57:08.2362646Z [ RUN ] ModuleAPITest.Parameters 2022-11-23T01:57:08.2362946Z [ OK ] ModuleAPITest.Parameters (0 ms) 2022-11-23T01:57:08.2363218Z [ RUN ] ModuleAPITest.Define 2022-11-23T01:57:08.2365409Z [ OK ] ModuleAPITest.Define (0 ms) 2022-11-23T01:57:08.2365698Z [ RUN ] ModuleAPITest.Freezing 2022-11-23T01:57:08.2393834Z [ OK ] ModuleAPITest.Freezing (2 ms) 2022-11-23T01:57:08.2394209Z [ RUN ] ModuleAPITest.OfiFreezesTraining 2022-11-23T01:57:08.2422752Z [ OK ] ModuleAPITest.OfiFreezesTraining (2 ms) 2022-11-23T01:57:08.2423209Z [----------] 13 tests from ModuleAPITest (10 ms total) 2022-11-23T01:57:08.2423456Z 2022-11-23T01:57:08.2424154Z [----------] 6 tests from PeepholeOptimizeTest 2022-11-23T01:57:08.2425487Z [ RUN ] PeepholeOptimizeTest.IsAndIsNot 2022-11-23T01:57:08.2426071Z [ OK ] PeepholeOptimizeTest.IsAndIsNot (0 ms) 2022-11-23T01:57:08.2426562Z [ RUN ] PeepholeOptimizeTest.IsAndIsNot2 2022-11-23T01:57:08.2426921Z [ OK ] PeepholeOptimizeTest.IsAndIsNot2 (0 ms) 2022-11-23T01:57:08.2427417Z [ RUN ] PeepholeOptimizeTest.IsAndIsNot3 2022-11-23T01:57:08.2428014Z [ OK ] PeepholeOptimizeTest.IsAndIsNot3 (0 ms) 2022-11-23T01:57:08.2428499Z [ RUN ] PeepholeOptimizeTest.UnwrapOptional 2022-11-23T01:57:08.2428866Z [ OK ] PeepholeOptimizeTest.UnwrapOptional (0 ms) 2022-11-23T01:57:08.2429231Z [ RUN ] PeepholeOptimizeTest.UnwrapOptional2 2022-11-23T01:57:08.2429596Z [ OK ] PeepholeOptimizeTest.UnwrapOptional2 (0 ms) 2022-11-23T01:57:08.2429949Z [ RUN ] PeepholeOptimizeTest.AddMMFusion 2022-11-23T01:57:08.2430296Z [ OK ] PeepholeOptimizeTest.AddMMFusion (0 ms) 2022-11-23T01:57:08.2430645Z [----------] 6 tests from PeepholeOptimizeTest (0 ms total) 2022-11-23T01:57:08.2430819Z 2022-11-23T01:57:08.2430979Z [----------] 5 tests from QualifiedNameTest 2022-11-23T01:57:08.2431310Z [ RUN ] QualifiedNameTest.PrefixConstruction 2022-11-23T01:57:08.2431672Z [ OK ] QualifiedNameTest.PrefixConstruction (0 ms) 2022-11-23T01:57:08.2432022Z [ RUN ] QualifiedNameTest.DottedConstruction 2022-11-23T01:57:08.2432377Z [ OK ] QualifiedNameTest.DottedConstruction (0 ms) 2022-11-23T01:57:08.2432724Z [ RUN ] QualifiedNameTest.BadInputRaises 2022-11-23T01:57:08.2475116Z [ OK ] QualifiedNameTest.BadInputRaises (4 ms) 2022-11-23T01:57:08.2475733Z [ RUN ] QualifiedNameTest.Equality 2022-11-23T01:57:08.2476169Z [ OK ] QualifiedNameTest.Equality (0 ms) 2022-11-23T01:57:08.2476500Z [ RUN ] QualifiedNameTest.IsPrefixOf 2022-11-23T01:57:08.2476947Z [ OK ] QualifiedNameTest.IsPrefixOf (0 ms) 2022-11-23T01:57:08.2477344Z [----------] 5 tests from QualifiedNameTest (4 ms total) 2022-11-23T01:57:08.2477506Z 2022-11-23T01:57:08.2477668Z [----------] 6 tests from SerializationTest 2022-11-23T01:57:08.2478049Z [ RUN ] SerializationTest.ExtraFilesHookPreference 2022-11-23T01:57:08.2478813Z [W export_module.cpp:586] Warning: An extra files hook attempted to write metadata.json but this is already written in extra files and so will be skipped. This warning will only appear once per process. (function operator()) 2022-11-23T01:57:08.2483468Z [ OK ] SerializationTest.ExtraFilesHookPreference (0 ms) 2022-11-23T01:57:08.2484051Z [ RUN ] SerializationTest.ExtraFileHooksNoSecret 2022-11-23T01:57:08.2485018Z [ OK ] SerializationTest.ExtraFileHooksNoSecret (0 ms) 2022-11-23T01:57:08.2485643Z [ RUN ] SerializationTest.ExtraFileHooksWithSecret 2022-11-23T01:57:08.2486463Z [ OK ] SerializationTest.ExtraFileHooksWithSecret (0 ms) 2022-11-23T01:57:08.2486853Z [ RUN ] SerializationTest.TypeTags 2022-11-23T01:57:08.2488558Z [ OK ] SerializationTest.TypeTags (0 ms) 2022-11-23T01:57:08.2488888Z [ RUN ] SerializationTest.ParentDirNotExist 2022-11-23T01:57:08.2537618Z [ OK ] SerializationTest.ParentDirNotExist (4 ms) 2022-11-23T01:57:08.2538348Z [ RUN ] SerializationTest.CalculateNecessaryArgsTest 2022-11-23T01:57:08.2539119Z [ OK ] SerializationTest.CalculateNecessaryArgsTest (0 ms) 2022-11-23T01:57:08.2539737Z [----------] 6 tests from SerializationTest (6 ms total) 2022-11-23T01:57:08.2539903Z 2022-11-23T01:57:08.2540074Z [----------] 3 tests from TestSourceRoundTrip 2022-11-23T01:57:08.2540420Z [ RUN ] TestSourceRoundTrip.UpsampleNearest2d 2022-11-23T01:57:08.2553792Z [ OK ] TestSourceRoundTrip.UpsampleNearest2d (1 ms) 2022-11-23T01:57:08.2554239Z [ RUN ] TestSourceRoundTrip.CheckAttrAccess 2022-11-23T01:57:08.2554699Z [ OK ] TestSourceRoundTrip.CheckAttrAccess (0 ms) 2022-11-23T01:57:08.2555063Z [ RUN ] TestSourceRoundTrip.MethodInvocation 2022-11-23T01:57:08.2604403Z [ OK ] TestSourceRoundTrip.MethodInvocation (4 ms) 2022-11-23T01:57:08.2605197Z [----------] 3 tests from TestSourceRoundTrip (6 ms total) 2022-11-23T01:57:08.2605537Z 2022-11-23T01:57:08.2605771Z [----------] 2 tests from FunctionSchemaIsAliasingTest 2022-11-23T01:57:08.2606114Z [ RUN ] FunctionSchemaIsAliasingTest.Basic 2022-11-23T01:57:08.2606451Z [ OK ] FunctionSchemaIsAliasingTest.Basic (0 ms) 2022-11-23T01:57:08.2606830Z [ RUN ] FunctionSchemaIsAliasingTest.InvalidArgument 2022-11-23T01:57:08.2627050Z [ OK ] FunctionSchemaIsAliasingTest.InvalidArgument (2 ms) 2022-11-23T01:57:08.2627813Z [----------] 2 tests from FunctionSchemaIsAliasingTest (2 ms total) 2022-11-23T01:57:08.2627995Z 2022-11-23T01:57:08.2628190Z [----------] 2 tests from FunctionSchemaIsMutableTest 2022-11-23T01:57:08.2628526Z [ RUN ] FunctionSchemaIsMutableTest.Basic 2022-11-23T01:57:08.2628870Z [ OK ] FunctionSchemaIsMutableTest.Basic (0 ms) 2022-11-23T01:57:08.2629231Z [ RUN ] FunctionSchemaIsMutableTest.InvalidArgument 2022-11-23T01:57:08.2659638Z [ OK ] FunctionSchemaIsMutableTest.InvalidArgument (3 ms) 2022-11-23T01:57:08.2660259Z [----------] 2 tests from FunctionSchemaIsMutableTest (3 ms total) 2022-11-23T01:57:08.2660445Z 2022-11-23T01:57:08.2660623Z [----------] 5 tests from SchemaInfoIsMutableTest 2022-11-23T01:57:08.2660992Z [ RUN ] SchemaInfoIsMutableTest.Basic 2022-11-23T01:57:08.2661886Z [ OK ] SchemaInfoIsMutableTest.Basic (0 ms) 2022-11-23T01:57:08.2662508Z [ RUN ] SchemaInfoIsMutableTest.InvalidArgument 2022-11-23T01:57:08.2694520Z [ OK ] SchemaInfoIsMutableTest.InvalidArgument (3 ms) 2022-11-23T01:57:08.2695075Z [ RUN ] SchemaInfoIsMutableTest.AliasingInputs 2022-11-23T01:57:08.2695703Z [ OK ] SchemaInfoIsMutableTest.AliasingInputs (0 ms) 2022-11-23T01:57:08.2696348Z [ RUN ] SchemaInfoIsMutableTest.InstanceNorm 2022-11-23T01:57:08.2697217Z [ OK ] SchemaInfoIsMutableTest.InstanceNorm (0 ms) 2022-11-23T01:57:08.2697797Z [ RUN ] SchemaInfoIsMutableTest.BatchNorm 2022-11-23T01:57:08.2698382Z [ OK ] SchemaInfoIsMutableTest.BatchNorm (0 ms) 2022-11-23T01:57:08.2699032Z [----------] 5 tests from SchemaInfoIsMutableTest (3 ms total) 2022-11-23T01:57:08.2699344Z 2022-11-23T01:57:08.2699719Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest 2022-11-23T01:57:08.2700331Z [ RUN ] SchemaInfoIsNonDeterministicTest.Basic 2022-11-23T01:57:08.2700713Z [ OK ] SchemaInfoIsNonDeterministicTest.Basic (0 ms) 2022-11-23T01:57:08.2701079Z [ RUN ] SchemaInfoIsNonDeterministicTest.Dropout 2022-11-23T01:57:08.2701463Z [ OK ] SchemaInfoIsNonDeterministicTest.Dropout (0 ms) 2022-11-23T01:57:08.2701872Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest (0 ms total) 2022-11-23T01:57:08.2702065Z 2022-11-23T01:57:08.2702252Z [----------] 3 tests from FunctionSchemaMayAliasTest 2022-11-23T01:57:08.2702567Z [ RUN ] FunctionSchemaMayAliasTest.Basic 2022-11-23T01:57:08.2702907Z [ OK ] FunctionSchemaMayAliasTest.Basic (0 ms) 2022-11-23T01:57:08.2703267Z [ RUN ] FunctionSchemaMayAliasTest.InvalidArgument 2022-11-23T01:57:08.2727614Z [ OK ] FunctionSchemaMayAliasTest.InvalidArgument (2 ms) 2022-11-23T01:57:08.2728279Z [ RUN ] FunctionSchemaMayAliasTest.Wildcard 2022-11-23T01:57:08.2728809Z [ OK ] FunctionSchemaMayAliasTest.Wildcard (0 ms) 2022-11-23T01:57:08.2729400Z [----------] 3 tests from FunctionSchemaMayAliasTest (2 ms total) 2022-11-23T01:57:08.2729670Z 2022-11-23T01:57:08.2729975Z [----------] 7 tests from SchemaInfoMayAliasTest 2022-11-23T01:57:08.2730516Z [ RUN ] SchemaInfoMayAliasTest.AliasingInputs 2022-11-23T01:57:08.2731128Z [ OK ] SchemaInfoMayAliasTest.AliasingInputs (0 ms) 2022-11-23T01:57:08.2731709Z [ RUN ] SchemaInfoMayAliasTest.AliasingOutputs 2022-11-23T01:57:08.2732280Z [ OK ] SchemaInfoMayAliasTest.AliasingOutputs (0 ms) 2022-11-23T01:57:08.2732837Z [ RUN ] SchemaInfoMayAliasTest.AliasingInputOutput 2022-11-23T01:57:08.2733436Z [ OK ] SchemaInfoMayAliasTest.AliasingInputOutput (0 ms) 2022-11-23T01:57:08.2733962Z [ RUN ] SchemaInfoMayAliasTest.MultipleWildcardInputs 2022-11-23T01:57:08.2734594Z [ OK ] SchemaInfoMayAliasTest.MultipleWildcardInputs (0 ms) 2022-11-23T01:57:08.2735069Z [ RUN ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs 2022-11-23T01:57:08.2735656Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator()) 2022-11-23T01:57:08.2736163Z [ OK ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs (0 ms) 2022-11-23T01:57:08.2736606Z [ RUN ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs 2022-11-23T01:57:08.2737030Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator()) 2022-11-23T01:57:08.2737508Z [ OK ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs (0 ms) 2022-11-23T01:57:08.2737904Z [ RUN ] SchemaInfoMayAliasTest.MismatchingTypes 2022-11-23T01:57:08.2738287Z [ OK ] SchemaInfoMayAliasTest.MismatchingTypes (0 ms) 2022-11-23T01:57:08.2738668Z [----------] 7 tests from SchemaInfoMayAliasTest (0 ms total) 2022-11-23T01:57:08.2738839Z 2022-11-23T01:57:08.2739031Z [----------] 3 tests from FunctionSchemaMayContainAliasTest 2022-11-23T01:57:08.2739398Z [ RUN ] FunctionSchemaMayContainAliasTest.Basic 2022-11-23T01:57:08.2739826Z [ OK ] FunctionSchemaMayContainAliasTest.Basic (0 ms) 2022-11-23T01:57:08.2740418Z [ RUN ] FunctionSchemaMayContainAliasTest.Wildcard 2022-11-23T01:57:08.2740875Z [ OK ] FunctionSchemaMayContainAliasTest.Wildcard (0 ms) 2022-11-23T01:57:08.2741327Z [ RUN ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers 2022-11-23T01:57:08.2741835Z [ OK ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers (0 ms) 2022-11-23T01:57:08.2742297Z [----------] 3 tests from FunctionSchemaMayContainAliasTest (0 ms total) 2022-11-23T01:57:08.2742548Z 2022-11-23T01:57:08.2742741Z [----------] 6 tests from SchemaInfoMayContainAliasTest 2022-11-23T01:57:08.2743146Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual 2022-11-23T01:57:08.2743615Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual (0 ms) 2022-11-23T01:57:08.2744239Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained 2022-11-23T01:57:08.2744811Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained (0 ms) 2022-11-23T01:57:08.2745270Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasOutputs 2022-11-23T01:57:08.2745698Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasOutputs (0 ms) 2022-11-23T01:57:08.2746152Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput 2022-11-23T01:57:08.2746621Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput (0 ms) 2022-11-23T01:57:08.2747088Z [ RUN ] SchemaInfoMayContainAliasTest.InputAndOutputContainers 2022-11-23T01:57:08.2747548Z [ OK ] SchemaInfoMayContainAliasTest.InputAndOutputContainers (0 ms) 2022-11-23T01:57:08.2747963Z [ RUN ] SchemaInfoMayContainAliasTest.Wildcard 2022-11-23T01:57:08.2748335Z [ OK ] SchemaInfoMayContainAliasTest.Wildcard (0 ms) 2022-11-23T01:57:08.2748719Z [----------] 6 tests from SchemaInfoMayContainAliasTest (0 ms total) 2022-11-23T01:57:08.2748905Z 2022-11-23T01:57:08.2749074Z [----------] 2 tests from SchemaMatchingTest 2022-11-23T01:57:08.2749369Z [ RUN ] SchemaMatchingTest.VarType 2022-11-23T01:57:08.2749836Z [ OK ] SchemaMatchingTest.VarType (0 ms) 2022-11-23T01:57:08.2750135Z [ RUN ] SchemaMatchingTest.VarType2 2022-11-23T01:57:08.2750556Z [ OK ] SchemaMatchingTest.VarType2 (0 ms) 2022-11-23T01:57:08.2750895Z [----------] 2 tests from SchemaMatchingTest (0 ms total) 2022-11-23T01:57:08.2751062Z 2022-11-23T01:57:08.2751197Z [----------] 6 tests from StackOptTest 2022-11-23T01:57:08.2751494Z [ RUN ] StackOptTest.UseVariadicStack 2022-11-23T01:57:08.2841494Z [ OK ] StackOptTest.UseVariadicStack (9 ms) 2022-11-23T01:57:08.2841909Z [ RUN ] StackOptTest.UseVariadicStackReplaceMultiple 2022-11-23T01:57:08.2893189Z [ OK ] StackOptTest.UseVariadicStackReplaceMultiple (5 ms) 2022-11-23T01:57:08.2893720Z [ RUN ] StackOptTest.UseVariadicStackWithMultipleListUses 2022-11-23T01:57:08.2916587Z [ OK ] StackOptTest.UseVariadicStackWithMultipleListUses (2 ms) 2022-11-23T01:57:08.2917137Z [ RUN ] StackOptTest.UseVariadicStackWithListMutationAfterCat 2022-11-23T01:57:08.2951265Z [ OK ] StackOptTest.UseVariadicStackWithListMutationAfterCat (3 ms) 2022-11-23T01:57:08.2951814Z [ RUN ] StackOptTest.UseVariadicStackWithListMutationBeforeCat 2022-11-23T01:57:08.2999492Z [ OK ] StackOptTest.UseVariadicStackWithListMutationBeforeCat (4 ms) 2022-11-23T01:57:08.2999983Z [ RUN ] StackOptTest.UseVariadicStackWithMultipleListMutations 2022-11-23T01:57:08.3065718Z [ OK ] StackOptTest.UseVariadicStackWithMultipleListMutations (6 ms) 2022-11-23T01:57:08.3066619Z [----------] 6 tests from StackOptTest (31 ms total) 2022-11-23T01:57:08.3066953Z 2022-11-23T01:57:08.3067685Z [----------] 16 tests from SubgraphMatcherTest 2022-11-23T01:57:08.3068214Z [ RUN ] SubgraphMatcherTest.Trivial1 2022-11-23T01:57:08.3068756Z [ OK ] SubgraphMatcherTest.Trivial1 (0 ms) 2022-11-23T01:57:08.3069269Z [ RUN ] SubgraphMatcherTest.Trivial2 2022-11-23T01:57:08.3069803Z [ OK ] SubgraphMatcherTest.Trivial2 (0 ms) 2022-11-23T01:57:08.3070284Z [ RUN ] SubgraphMatcherTest.Trivial3 2022-11-23T01:57:08.3070872Z [ OK ] SubgraphMatcherTest.Trivial3 (0 ms) 2022-11-23T01:57:08.3071350Z [ RUN ] SubgraphMatcherTest.Trivial4 2022-11-23T01:57:08.3071996Z [ OK ] SubgraphMatcherTest.Trivial4 (0 ms) 2022-11-23T01:57:08.3072573Z [ RUN ] SubgraphMatcherTest.Linear1 2022-11-23T01:57:08.3073276Z [ OK ] SubgraphMatcherTest.Linear1 (0 ms) 2022-11-23T01:57:08.3073685Z [ RUN ] SubgraphMatcherTest.Linear2 2022-11-23T01:57:08.3074188Z [ OK ] SubgraphMatcherTest.Linear2 (0 ms) 2022-11-23T01:57:08.3074626Z [ RUN ] SubgraphMatcherTest.Diamond1 2022-11-23T01:57:08.3075278Z [ OK ] SubgraphMatcherTest.Diamond1 (0 ms) 2022-11-23T01:57:08.3075831Z [ RUN ] SubgraphMatcherTest.Diamond2 2022-11-23T01:57:08.3076183Z [ OK ] SubgraphMatcherTest.Diamond2 (0 ms) 2022-11-23T01:57:08.3076543Z [ RUN ] SubgraphMatcherTest.XPattern 2022-11-23T01:57:08.3076913Z [ OK ] SubgraphMatcherTest.XPattern (0 ms) 2022-11-23T01:57:08.3077284Z [ RUN ] SubgraphMatcherTest.MultipleMatches 2022-11-23T01:57:08.3077696Z [ OK ] SubgraphMatcherTest.MultipleMatches (0 ms) 2022-11-23T01:57:08.3078116Z [ RUN ] SubgraphMatcherTest.OverlappingMatches 2022-11-23T01:57:08.3078628Z [ OK ] SubgraphMatcherTest.OverlappingMatches (0 ms) 2022-11-23T01:57:08.3079048Z [ RUN ] SubgraphMatcherTest.MatchInBasicBlocks1 2022-11-23T01:57:08.3079488Z [ OK ] SubgraphMatcherTest.MatchInBasicBlocks1 (0 ms) 2022-11-23T01:57:08.3079923Z [ RUN ] SubgraphMatcherTest.MatchInBasicBlocks2 2022-11-23T01:57:08.3080343Z [ OK ] SubgraphMatcherTest.MatchInBasicBlocks2 (0 ms) 2022-11-23T01:57:08.3080863Z [ RUN ] SubgraphMatcherTest.MatchesAttributes 2022-11-23T01:57:08.3081245Z [ OK ] SubgraphMatcherTest.MatchesAttributes (0 ms) 2022-11-23T01:57:08.3081590Z [ RUN ] SubgraphMatcherTest.BadPattern 2022-11-23T01:57:08.3123563Z [ OK ] SubgraphMatcherTest.BadPattern (4 ms) 2022-11-23T01:57:08.3124138Z [ RUN ] SubgraphMatcherTest.MultiOutput 2022-11-23T01:57:08.3124711Z [ OK ] SubgraphMatcherTest.MultiOutput (0 ms) 2022-11-23T01:57:08.3125510Z [----------] 16 tests from SubgraphMatcherTest (6 ms total) 2022-11-23T01:57:08.3125707Z 2022-11-23T01:57:08.3125882Z [----------] 4 tests from SubgraphRewriterTest 2022-11-23T01:57:08.3126206Z [ RUN ] SubgraphRewriterTest.FilterMatch 2022-11-23T01:57:08.3127302Z [ OK ] SubgraphRewriterTest.FilterMatch (0 ms) 2022-11-23T01:57:08.3127911Z [ RUN ] SubgraphRewriterTest.FilterNoMatch 2022-11-23T01:57:08.3128432Z [ OK ] SubgraphRewriterTest.FilterNoMatch (0 ms) 2022-11-23T01:57:08.3128773Z [ RUN ] SubgraphRewriterTest.MultiOutput 2022-11-23T01:57:08.3131869Z [ OK ] SubgraphRewriterTest.MultiOutput (0 ms) 2022-11-23T01:57:08.3132273Z [ RUN ] SubgraphRewriterTest.OutputType 2022-11-23T01:57:08.3133116Z [ OK ] SubgraphRewriterTest.OutputType (0 ms) 2022-11-23T01:57:08.3133572Z [----------] 4 tests from SubgraphRewriterTest (0 ms total) 2022-11-23T01:57:08.3133743Z 2022-11-23T01:57:08.3133890Z [----------] 3 tests from SubgraphUtilsTest 2022-11-23T01:57:08.3134177Z [ RUN ] SubgraphUtilsTest.Basic 2022-11-23T01:57:08.3137083Z [ OK ] SubgraphUtilsTest.Basic (0 ms) 2022-11-23T01:57:08.3137422Z [ RUN ] SubgraphUtilsTest.MergeSubgraphs 2022-11-23T01:57:08.3139902Z [ OK ] SubgraphUtilsTest.MergeSubgraphs (0 ms) 2022-11-23T01:57:08.3140416Z [ RUN ] SubgraphUtilsTest.GraphName 2022-11-23T01:57:08.3140907Z [ OK ] SubgraphUtilsTest.GraphName (0 ms) 2022-11-23T01:57:08.3141323Z [----------] 3 tests from SubgraphUtilsTest (0 ms total) 2022-11-23T01:57:08.3141677Z 2022-11-23T01:57:08.3141897Z [----------] 8 tests from UnionTypeTest 2022-11-23T01:57:08.3142286Z [ RUN ] UnionTypeTest.UnionOperatorEquals 2022-11-23T01:57:08.3142700Z [ OK ] UnionTypeTest.UnionOperatorEquals (0 ms) 2022-11-23T01:57:08.3143067Z [ RUN ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 2022-11-23T01:57:08.3143514Z [ OK ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 (0 ms) 2022-11-23T01:57:08.3143881Z [ RUN ] UnionTypeTest.UnionCreate_OptionalTAndT 2022-11-23T01:57:08.3144216Z [ OK ] UnionTypeTest.UnionCreate_OptionalTAndT (0 ms) 2022-11-23T01:57:08.3144606Z [ RUN ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship 2022-11-23T01:57:08.3145032Z [ OK ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship (0 ms) 2022-11-23T01:57:08.3145413Z [ RUN ] UnionTypeTest.UnionCreate_ContainerTAndT 2022-11-23T01:57:08.3145759Z [ OK ] UnionTypeTest.UnionCreate_ContainerTAndT (0 ms) 2022-11-23T01:57:08.3146159Z [ RUN ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT 2022-11-23T01:57:08.3146609Z [ OK ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT (0 ms) 2022-11-23T01:57:08.3146974Z [ RUN ] UnionTypeTest.Subtyping_NumberType 2022-11-23T01:57:08.3147301Z [ OK ] UnionTypeTest.Subtyping_NumberType (0 ms) 2022-11-23T01:57:08.3147633Z [ RUN ] UnionTypeTest.Subtyping_OptionalType 2022-11-23T01:57:08.3147973Z [ OK ] UnionTypeTest.Subtyping_OptionalType (0 ms) 2022-11-23T01:57:08.3148296Z [----------] 8 tests from UnionTypeTest (0 ms total) 2022-11-23T01:57:08.3148446Z 2022-11-23T01:57:08.3148604Z [----------] 2 tests from ScriptProfileTest 2022-11-23T01:57:08.3148890Z [ RUN ] ScriptProfileTest.Basic 2022-11-23T01:57:08.3149172Z [ OK ] ScriptProfileTest.Basic (0 ms) 2022-11-23T01:57:08.3149480Z [ RUN ] ScriptProfileTest.CallingOrder 2022-11-23T01:57:08.3175051Z [ OK ] ScriptProfileTest.CallingOrder (3 ms) 2022-11-23T01:57:08.3175656Z [----------] 2 tests from ScriptProfileTest (3 ms total) 2022-11-23T01:57:08.3175833Z 2022-11-23T01:57:08.3176003Z [----------] 7 tests from ShapeAnalysisTest 2022-11-23T01:57:08.3176338Z [ RUN ] ShapeAnalysisTest.DynamicShapesFusion 2022-11-23T01:57:08.3256600Z [ OK ] ShapeAnalysisTest.DynamicShapesFusion (8 ms) 2022-11-23T01:57:08.3257182Z [ RUN ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups 2022-11-23T01:57:08.3273692Z [ OK ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups (1 ms) 2022-11-23T01:57:08.3274264Z [ RUN ] ShapeAnalysisTest.SymbolicShapeAPI 2022-11-23T01:57:08.3347188Z [ OK ] ShapeAnalysisTest.SymbolicShapeAPI (7 ms) 2022-11-23T01:57:08.3347790Z [ RUN ] ShapeAnalysisTest.BoundedSymbolicShapes 2022-11-23T01:57:08.3353327Z [ OK ] ShapeAnalysisTest.BoundedSymbolicShapes (0 ms) 2022-11-23T01:57:08.3353887Z [ RUN ] ShapeAnalysisTest.SymbolicShapeCaching 2022-11-23T01:57:08.3359798Z [ OK ] ShapeAnalysisTest.SymbolicShapeCaching (0 ms) 2022-11-23T01:57:08.3360399Z [ RUN ] ShapeAnalysisTest.ShapeCacheMultipleFns 2022-11-23T01:57:08.3388319Z [ OK ] ShapeAnalysisTest.ShapeCacheMultipleFns (2 ms) 2022-11-23T01:57:08.3389143Z [ RUN ] ShapeAnalysisTest.TestShapeMultipleReturns 2022-11-23T01:57:08.3401511Z [ OK ] ShapeAnalysisTest.TestShapeMultipleReturns (1 ms) 2022-11-23T01:57:08.3402177Z [----------] 7 tests from ShapeAnalysisTest (22 ms total) 2022-11-23T01:57:08.3402461Z 2022-11-23T01:57:08.3402709Z [----------] 5 tests from JitLoggingTest 2022-11-23T01:57:08.3403291Z [ RUN ] JitLoggingTest.CheckSetLoggingLevel 2022-11-23T01:57:08.3404072Z [ OK ] JitLoggingTest.CheckSetLoggingLevel (0 ms) 2022-11-23T01:57:08.3404585Z [ RUN ] JitLoggingTest.CheckSetMultipleLogLevels 2022-11-23T01:57:08.3405166Z [ OK ] JitLoggingTest.CheckSetMultipleLogLevels (0 ms) 2022-11-23T01:57:08.3405541Z [ RUN ] JitLoggingTest.CheckLoggingLevelAfterUnset 2022-11-23T01:57:08.3405941Z [ OK ] JitLoggingTest.CheckLoggingLevelAfterUnset (0 ms) 2022-11-23T01:57:08.3406325Z [ RUN ] JitLoggingTest.CheckAfterChangingLevel 2022-11-23T01:57:08.3406720Z [ OK ] JitLoggingTest.CheckAfterChangingLevel (0 ms) 2022-11-23T01:57:08.3407077Z [ RUN ] JitLoggingTest.CheckOutputStreamSetting 2022-11-23T01:57:08.3407455Z [ OK ] JitLoggingTest.CheckOutputStreamSetting (0 ms) 2022-11-23T01:57:08.3407812Z [----------] 5 tests from JitLoggingTest (0 ms total) 2022-11-23T01:57:08.3407966Z 2022-11-23T01:57:08.3408120Z [----------] 9 tests from FileFormatTest 2022-11-23T01:57:08.3408444Z [ RUN ] FileFormatTest.IdentifiesFlatbufferStream 2022-11-23T01:57:08.3408833Z [ OK ] FileFormatTest.IdentifiesFlatbufferStream (0 ms) 2022-11-23T01:57:08.3409198Z [ RUN ] FileFormatTest.IdentifiesZipStream 2022-11-23T01:57:08.3409562Z [ OK ] FileFormatTest.IdentifiesZipStream (0 ms) 2022-11-23T01:57:08.3409984Z [ RUN ] FileFormatTest.FlatbufferTakesPrecedence 2022-11-23T01:57:08.3410399Z [ OK ] FileFormatTest.FlatbufferTakesPrecedence (0 ms) 2022-11-23T01:57:08.3410749Z [ RUN ] FileFormatTest.HandlesUnknownStream 2022-11-23T01:57:08.3411099Z [ OK ] FileFormatTest.HandlesUnknownStream (0 ms) 2022-11-23T01:57:08.3411521Z [ RUN ] FileFormatTest.ShortStreamIsUnknown 2022-11-23T01:57:08.3411883Z [ OK ] FileFormatTest.ShortStreamIsUnknown (0 ms) 2022-11-23T01:57:08.3412219Z [ RUN ] FileFormatTest.EmptyStreamIsUnknown 2022-11-23T01:57:08.3412577Z [ OK ] FileFormatTest.EmptyStreamIsUnknown (0 ms) 2022-11-23T01:57:08.3413006Z [ RUN ] FileFormatTest.BadStreamIsUnknown 2022-11-23T01:57:08.3413368Z [ OK ] FileFormatTest.BadStreamIsUnknown (0 ms) 2022-11-23T01:57:08.3413868Z [ RUN ] FileFormatTest.StreamOffsetIsObservedAndRestored 2022-11-23T01:57:08.3414423Z [ OK ] FileFormatTest.StreamOffsetIsObservedAndRestored (0 ms) 2022-11-23T01:57:08.3415079Z [ RUN ] FileFormatTest.HandlesMissingFile 2022-11-23T01:57:08.3415576Z [ OK ] FileFormatTest.HandlesMissingFile (0 ms) 2022-11-23T01:57:08.3415915Z [----------] 9 tests from FileFormatTest (0 ms total) 2022-11-23T01:57:08.3416068Z 2022-11-23T01:57:08.3416219Z [----------] 35 tests from FlatbufferTest 2022-11-23T01:57:08.3416512Z [ RUN ] FlatbufferTest.UpsampleNearest2d 2022-11-23T01:57:08.3416862Z [ OK ] FlatbufferTest.UpsampleNearest2d (1 ms) 2022-11-23T01:57:08.3417260Z [ RUN ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory 2022-11-23T01:57:08.3424287Z [ OK ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory (0 ms) 2022-11-23T01:57:08.3424893Z [ RUN ] FlatbufferTest.CheckAttrAccess 2022-11-23T01:57:08.3428911Z [ OK ] FlatbufferTest.CheckAttrAccess (0 ms) 2022-11-23T01:57:08.3429285Z [ RUN ] FlatbufferTest.MethodInvocation 2022-11-23T01:57:08.3449549Z [ OK ] FlatbufferTest.MethodInvocation (2 ms) 2022-11-23T01:57:08.3449934Z [ RUN ] FlatbufferTest.FlatbufferBackPortTest 2022-11-23T01:57:08.3478376Z [ OK ] FlatbufferTest.FlatbufferBackPortTest (2 ms) 2022-11-23T01:57:08.3478781Z [ RUN ] FlatbufferTest.ExtraFiles 2022-11-23T01:57:08.3481948Z [ OK ] FlatbufferTest.ExtraFiles (0 ms) 2022-11-23T01:57:08.3482366Z [ RUN ] FlatbufferTest.Conv 2022-11-23T01:57:08.3501689Z [ OK ] FlatbufferTest.Conv (1 ms) 2022-11-23T01:57:08.3502183Z [ RUN ] FlatbufferTest.ConvWithCopyTensorMemory 2022-11-23T01:57:08.3521823Z [ OK ] FlatbufferTest.ConvWithCopyTensorMemory (1 ms) 2022-11-23T01:57:08.3522270Z [ RUN ] FlatbufferTest.Inline 2022-11-23T01:57:08.3529414Z [ OK ] FlatbufferTest.Inline (0 ms) 2022-11-23T01:57:08.3529918Z [ RUN ] FlatbufferTest.InlineWithCopyTensorMemory 2022-11-23T01:57:08.3536041Z [ OK ] FlatbufferTest.InlineWithCopyTensorMemory (0 ms) 2022-11-23T01:57:08.3536415Z [ RUN ] FlatbufferTest.Tuple 2022-11-23T01:57:08.3540458Z [ OK ] FlatbufferTest.Tuple (0 ms) 2022-11-23T01:57:08.3540805Z [ RUN ] FlatbufferTest.Dict 2022-11-23T01:57:08.3545657Z [ OK ] FlatbufferTest.Dict (0 ms) 2022-11-23T01:57:08.3545947Z [ RUN ] FlatbufferTest.Prim 2022-11-23T01:57:08.3549104Z [ OK ] FlatbufferTest.Prim (0 ms) 2022-11-23T01:57:08.3549405Z [ RUN ] FlatbufferTest.PrimScalar 2022-11-23T01:57:08.3553166Z [ OK ] FlatbufferTest.PrimScalar (0 ms) 2022-11-23T01:57:08.3553477Z [ RUN ] FlatbufferTest.WrongMethodName 2022-11-23T01:57:08.3589095Z [ OK ] FlatbufferTest.WrongMethodName (3 ms) 2022-11-23T01:57:08.3589415Z [ RUN ] FlatbufferTest.SetState 2022-11-23T01:57:08.3610072Z [ OK ] FlatbufferTest.SetState (2 ms) 2022-11-23T01:57:08.3610386Z [ RUN ] FlatbufferTest.BuiltinClass 2022-11-23T01:57:08.3615667Z [ OK ] FlatbufferTest.BuiltinClass (0 ms) 2022-11-23T01:57:08.3616043Z [ RUN ] FlatbufferTest.BuiltinFunction 2022-11-23T01:57:08.3618212Z [ OK ] FlatbufferTest.BuiltinFunction (0 ms) 2022-11-23T01:57:08.3618566Z [ RUN ] FlatbufferTest.Eval 2022-11-23T01:57:08.3624189Z [ OK ] FlatbufferTest.Eval (0 ms) 2022-11-23T01:57:08.3624544Z [ RUN ] FlatbufferTest.FindWrongMethodName 2022-11-23T01:57:08.3626947Z [ OK ] FlatbufferTest.FindWrongMethodName (0 ms) 2022-11-23T01:57:08.3627302Z [ RUN ] FlatbufferTest.FindAndRunMethod 2022-11-23T01:57:08.3632921Z [ OK ] FlatbufferTest.FindAndRunMethod (0 ms) 2022-11-23T01:57:08.3633258Z [ RUN ] FlatbufferTest.RunMethodVariadic 2022-11-23T01:57:08.3638258Z [ OK ] FlatbufferTest.RunMethodVariadic (0 ms) 2022-11-23T01:57:08.3638677Z [ RUN ] FlatbufferTest.DuplicateSetState 2022-11-23T01:57:08.3646147Z [ OK ] FlatbufferTest.DuplicateSetState (0 ms) 2022-11-23T01:57:08.3646529Z [ RUN ] FlatbufferTest.OpNameExportFetchRootOperators 2022-11-23T01:57:08.3652115Z [ OK ] FlatbufferTest.OpNameExportFetchRootOperators (0 ms) 2022-11-23T01:57:08.3652499Z [ RUN ] FlatbufferTest.DefaultArgsConv 2022-11-23T01:57:08.3664734Z [ OK ] FlatbufferTest.DefaultArgsConv (1 ms) 2022-11-23T01:57:08.3665172Z [ RUN ] FlatbufferTest.DefaultArgsPinv 2022-11-23T01:57:08.3717850Z [ OK ] FlatbufferTest.DefaultArgsPinv (5 ms) 2022-11-23T01:57:08.3718309Z [ RUN ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault 2022-11-23T01:57:08.3728167Z [ OK ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault (1 ms) 2022-11-23T01:57:08.3728871Z [ RUN ] FlatbufferTest.DefaultArgsPinvWithOutArg 2022-11-23T01:57:08.3747998Z [ OK ] FlatbufferTest.DefaultArgsPinvWithOutArg (1 ms) 2022-11-23T01:57:08.3748424Z [ RUN ] FlatbufferTest.DefaultArgsWithOutArg 2022-11-23T01:57:08.3757445Z [ OK ] FlatbufferTest.DefaultArgsWithOutArg (0 ms) 2022-11-23T01:57:08.3757876Z [ RUN ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs 2022-11-23T01:57:08.3780878Z [ OK ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs (2 ms) 2022-11-23T01:57:08.3781261Z [ RUN ] FlatbufferTest.OperatorSize1 2022-11-23T01:57:08.3783972Z [ OK ] FlatbufferTest.OperatorSize1 (0 ms) 2022-11-23T01:57:08.3784599Z [ RUN ] FlatbufferTest.BoolAndDoubleList 2022-11-23T01:57:08.3785083Z [ OK ] FlatbufferTest.BoolAndDoubleList (0 ms) 2022-11-23T01:57:08.3785410Z [ RUN ] FlatbufferTest.OperatorTest2 2022-11-23T01:57:08.3794820Z [ OK ] FlatbufferTest.OperatorTest2 (1 ms) 2022-11-23T01:57:08.3795416Z [ RUN ] FlatbufferTest.DetachedBufferSmoke 2022-11-23T01:57:08.3795897Z [ OK ] FlatbufferTest.DetachedBufferSmoke (0 ms) 2022-11-23T01:57:08.3796257Z [ RUN ] FlatbufferTest.DetachedBufferNullOwner 2022-11-23T01:57:08.3796629Z [ OK ] FlatbufferTest.DetachedBufferNullOwner (0 ms) 2022-11-23T01:57:08.3796982Z [----------] 35 tests from FlatbufferTest (39 ms total) 2022-11-23T01:57:08.3797146Z 2022-11-23T01:57:08.3797315Z [----------] 3 tests from TestSourceFlatbuffer 2022-11-23T01:57:08.3797652Z [ RUN ] TestSourceFlatbuffer.UpsampleNearest2d 2022-11-23T01:57:08.3811046Z [ OK ] TestSourceFlatbuffer.UpsampleNearest2d (1 ms) 2022-11-23T01:57:08.3811412Z [ RUN ] TestSourceFlatbuffer.CheckAttrAccess 2022-11-23T01:57:08.3812433Z [ OK ] TestSourceFlatbuffer.CheckAttrAccess (0 ms) 2022-11-23T01:57:08.3812819Z [ RUN ] TestSourceFlatbuffer.MethodInvocation 2022-11-23T01:57:08.3864952Z [ OK ] TestSourceFlatbuffer.MethodInvocation (5 ms) 2022-11-23T01:57:08.3865515Z [----------] 3 tests from TestSourceFlatbuffer (6 ms total) 2022-11-23T01:57:08.3865693Z 2022-11-23T01:57:08.3865878Z [----------] 10 tests from FlatbufferUpgraderTest 2022-11-23T01:57:08.3866214Z [ RUN ] FlatbufferUpgraderTest.DivTensorV2 2022-11-23T01:57:08.3874895Z [ OK ] FlatbufferUpgraderTest.DivTensorV2 (1 ms) 2022-11-23T01:57:08.3875255Z [ RUN ] FlatbufferUpgraderTest.DivTensorOutV2 2022-11-23T01:57:08.3878577Z [ OK ] FlatbufferUpgraderTest.DivTensorOutV2 (0 ms) 2022-11-23T01:57:08.3878966Z [ RUN ] FlatbufferUpgraderTest.DivTensorInplaceV2 2022-11-23T01:57:08.3881946Z [ OK ] FlatbufferUpgraderTest.DivTensorInplaceV2 (0 ms) 2022-11-23T01:57:08.3882340Z [ RUN ] FlatbufferUpgraderTest.DivScalarFloatV2 2022-11-23T01:57:08.3885713Z [ OK ] FlatbufferUpgraderTest.DivScalarFloatV2 (0 ms) 2022-11-23T01:57:08.3886132Z [ RUN ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 2022-11-23T01:57:08.3893736Z [ OK ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 (0 ms) 2022-11-23T01:57:08.3894178Z [ RUN ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 2022-11-23T01:57:08.3896970Z [ OK ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 (0 ms) 2022-11-23T01:57:08.3897371Z [ RUN ] FlatbufferUpgraderTest.DivScalarScalarV2 2022-11-23T01:57:08.3901734Z [ OK ] FlatbufferUpgraderTest.DivScalarScalarV2 (0 ms) 2022-11-23T01:57:08.3902113Z [ RUN ] FlatbufferUpgraderTest.DivScalarIntV2 2022-11-23T01:57:08.3905326Z [ OK ] FlatbufferUpgraderTest.DivScalarIntV2 (0 ms) 2022-11-23T01:57:08.3905714Z [ RUN ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 2022-11-23T01:57:08.3916626Z [ OK ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 (1 ms) 2022-11-23T01:57:08.3917054Z [ RUN ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 2022-11-23T01:57:08.3919986Z [ OK ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 (0 ms) 2022-11-23T01:57:08.3920699Z [----------] 10 tests from FlatbufferUpgraderTest (5 ms total) 2022-11-23T01:57:08.3920889Z 2022-11-23T01:57:08.3921251Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture 2022-11-23T01:57:08.3921889Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 2022-11-23T01:57:08.3922487Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 (0 ms) 2022-11-23T01:57:08.3923159Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 2022-11-23T01:57:08.3924063Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 (0 ms) 2022-11-23T01:57:08.3925123Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 2022-11-23T01:57:08.3926034Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 (0 ms) 2022-11-23T01:57:08.3926750Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 2022-11-23T01:57:08.3927396Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 (0 ms) 2022-11-23T01:57:08.3928191Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 2022-11-23T01:57:08.3929079Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 (0 ms) 2022-11-23T01:57:08.3929930Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 2022-11-23T01:57:08.3930779Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 (0 ms) 2022-11-23T01:57:08.3931521Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 2022-11-23T01:57:08.3932117Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 (0 ms) 2022-11-23T01:57:08.3932711Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 2022-11-23T01:57:08.3933315Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 (0 ms) 2022-11-23T01:57:08.3933897Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 2022-11-23T01:57:08.3934466Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 (0 ms) 2022-11-23T01:57:08.3935040Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 2022-11-23T01:57:08.3935628Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 (0 ms) 2022-11-23T01:57:08.3936202Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 2022-11-23T01:57:08.3936766Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 (0 ms) 2022-11-23T01:57:08.3937335Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 2022-11-23T01:57:08.3937912Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 (0 ms) 2022-11-23T01:57:08.3938421Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture (1 ms total) 2022-11-23T01:57:08.3938611Z 2022-11-23T01:57:08.3938854Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture 2022-11-23T01:57:08.3939302Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 2022-11-23T01:57:09.2149007Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 (821 ms) 2022-11-23T01:57:09.2149543Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 2022-11-23T01:57:10.3687064Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 (1153 ms) 2022-11-23T01:57:10.3687594Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 2022-11-23T01:57:11.7589890Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 (1390 ms) 2022-11-23T01:57:11.7590431Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 2022-11-23T01:57:13.0955384Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 (1336 ms) 2022-11-23T01:57:13.0955907Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 2022-11-23T01:57:14.4280808Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 (1332 ms) 2022-11-23T01:57:14.4281339Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 2022-11-23T01:57:15.7779289Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 (1349 ms) 2022-11-23T01:57:15.7779838Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 2022-11-23T01:57:17.1144895Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 (1336 ms) 2022-11-23T01:57:17.1145430Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 2022-11-23T01:57:18.4263951Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 (1311 ms) 2022-11-23T01:57:18.4264509Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 2022-11-23T01:57:19.6138274Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 (1187 ms) 2022-11-23T01:57:19.6138800Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 2022-11-23T01:57:20.7987170Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 (1184 ms) 2022-11-23T01:57:20.7987990Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture (12405 ms total) 2022-11-23T01:57:20.7988314Z 2022-11-23T01:57:20.7988583Z [----------] Global test environment tear-down 2022-11-23T01:57:20.8059975Z [==========] 568 tests from 118 test suites ran. (13651 ms total) 2022-11-23T01:57:20.8060278Z [ PASSED ] 568 tests. 2022-11-23T01:57:20.8909032Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]] 2022-11-23T01:57:20.8909303Z + [[ nogpu_AVX512 != *nogpu* ]] 2022-11-23T01:57:20.8909733Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_lazy --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml 2022-11-23T01:57:21.2505853Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T01:57:21.2509393Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T01:57:21.2510186Z [==========] Running 612 tests from 10 test suites. 2022-11-23T01:57:21.2510799Z [----------] Global test environment set-up. 2022-11-23T01:57:21.2511106Z [----------] 11 tests from BackendDeviceTest 2022-11-23T01:57:21.2511418Z [ RUN ] BackendDeviceTest.BackendDeviceType 2022-11-23T01:57:21.2511779Z [ OK ] BackendDeviceTest.BackendDeviceType (0 ms) 2022-11-23T01:57:21.2512118Z [ RUN ] BackendDeviceTest.Basic1 2022-11-23T01:57:21.2512420Z [ OK ] BackendDeviceTest.Basic1 (0 ms) 2022-11-23T01:57:21.2512703Z [ RUN ] BackendDeviceTest.Basic2 2022-11-23T01:57:21.2513002Z [ OK ] BackendDeviceTest.Basic2 (0 ms) 2022-11-23T01:57:21.2513290Z [ RUN ] BackendDeviceTest.Basic3 2022-11-23T01:57:21.2513569Z [ OK ] BackendDeviceTest.Basic3 (0 ms) 2022-11-23T01:57:21.2514044Z [ RUN ] BackendDeviceTest.Basic4 2022-11-23T01:57:21.2514346Z [ OK ] BackendDeviceTest.Basic4 (0 ms) 2022-11-23T01:57:21.2514625Z [ RUN ] BackendDeviceTest.Compare 2022-11-23T01:57:21.2514932Z [ OK ] BackendDeviceTest.Compare (0 ms) 2022-11-23T01:57:21.2515233Z [ RUN ] BackendDeviceTest.Ostream 2022-11-23T01:57:21.2515521Z [ OK ] BackendDeviceTest.Ostream (0 ms) 2022-11-23T01:57:21.2515878Z [ RUN ] BackendDeviceTest.FromAten 2022-11-23T01:57:21.2561386Z [ OK ] BackendDeviceTest.FromAten (5 ms) 2022-11-23T01:57:21.2561939Z [ RUN ] BackendDeviceTest.ToAten 2022-11-23T01:57:21.2562407Z [ OK ] BackendDeviceTest.ToAten (0 ms) 2022-11-23T01:57:21.2562918Z [ RUN ] BackendDeviceTest.GetBackendDevice1 2022-11-23T01:57:21.2563516Z [ OK ] BackendDeviceTest.GetBackendDevice1 (0 ms) 2022-11-23T01:57:21.2564101Z [ RUN ] BackendDeviceTest.GetBackendDevice2 2022-11-23T01:57:21.2564924Z [ OK ] BackendDeviceTest.GetBackendDevice2 (0 ms) 2022-11-23T01:57:21.2565472Z [----------] 11 tests from BackendDeviceTest (5 ms total) 2022-11-23T01:57:21.2565660Z 2022-11-23T01:57:21.2565806Z [----------] 2 tests from CacheTest 2022-11-23T01:57:21.2566056Z [ RUN ] CacheTest.BasicTest 2022-11-23T01:57:21.2566333Z [ OK ] CacheTest.BasicTest (0 ms) 2022-11-23T01:57:21.2566678Z [ RUN ] CacheTest.ShapeCacheTestForDynamicShape 2022-11-23T01:57:21.2567046Z [ OK ] CacheTest.ShapeCacheTestForDynamicShape (0 ms) 2022-11-23T01:57:21.2567395Z [----------] 2 tests from CacheTest (0 ms total) 2022-11-23T01:57:21.2567542Z 2022-11-23T01:57:21.2567674Z [----------] 5 tests from IrTest 2022-11-23T01:57:21.2567925Z [ RUN ] IrTest.BasicTest 2022-11-23T01:57:21.2568179Z [ OK ] IrTest.BasicTest (0 ms) 2022-11-23T01:57:21.2568446Z [ RUN ] IrTest.MetaDataTest 2022-11-23T01:57:21.2568721Z [ OK ] IrTest.MetaDataTest (0 ms) 2022-11-23T01:57:21.2568973Z [ RUN ] IrTest.TsNodeTest 2022-11-23T01:57:21.2569238Z [ OK ] IrTest.TsNodeTest (0 ms) 2022-11-23T01:57:21.2569517Z [ RUN ] IrTest.DimensionNodeTest 2022-11-23T01:57:21.2569798Z [ OK ] IrTest.DimensionNodeTest (0 ms) 2022-11-23T01:57:21.2570110Z [ RUN ] IrTest.DimensionIsDynamicTest 2022-11-23T01:57:21.2570433Z [ OK ] IrTest.DimensionIsDynamicTest (0 ms) 2022-11-23T01:57:21.2570744Z [----------] 5 tests from IrTest (0 ms total) 2022-11-23T01:57:21.2570873Z 2022-11-23T01:57:21.2571014Z [----------] 2 tests from IrUtilTest 2022-11-23T01:57:21.2571281Z [ RUN ] IrUtilTest.BasicTest 2022-11-23T01:57:21.2571580Z [ OK ] IrUtilTest.BasicTest (0 ms) 2022-11-23T01:57:21.2571843Z [ RUN ] IrUtilTest.TestCircle 2022-11-23T01:57:21.2588584Z [ OK ] IrUtilTest.TestCircle (2 ms) 2022-11-23T01:57:21.2588997Z [----------] 2 tests from IrUtilTest (2 ms total) 2022-11-23T01:57:21.2589357Z 2022-11-23T01:57:21.2589673Z [----------] 2 tests from HashTest 2022-11-23T01:57:21.2590007Z [ RUN ] HashTest.Scalar 2022-11-23T01:57:21.2590277Z [ OK ] HashTest.Scalar (0 ms) 2022-11-23T01:57:21.2590528Z [ RUN ] HashTest.Sanity 2022-11-23T01:57:21.2590778Z [ OK ] HashTest.Sanity (0 ms) 2022-11-23T01:57:21.2591099Z [----------] 2 tests from HashTest (0 ms total) 2022-11-23T01:57:21.2591246Z 2022-11-23T01:57:21.2591414Z [----------] 3 tests from PermutationUtilTest 2022-11-23T01:57:21.2591751Z [ RUN ] PermutationUtilTest.TestInversePermutation 2022-11-23T01:57:21.2622052Z [ OK ] PermutationUtilTest.TestInversePermutation (3 ms) 2022-11-23T01:57:21.2622581Z [ RUN ] PermutationUtilTest.TestIsPermutation 2022-11-23T01:57:21.2622965Z [ OK ] PermutationUtilTest.TestIsPermutation (0 ms) 2022-11-23T01:57:21.2623300Z [ RUN ] PermutationUtilTest.TestPermute 2022-11-23T01:57:21.2642017Z [ OK ] PermutationUtilTest.TestPermute (1 ms) 2022-11-23T01:57:21.2642587Z [----------] 3 tests from PermutationUtilTest (5 ms total) 2022-11-23T01:57:21.2642872Z 2022-11-23T01:57:21.2643105Z [----------] 7 tests from ShapeTest 2022-11-23T01:57:21.2643569Z [ RUN ] ShapeTest.Basic1 2022-11-23T01:57:21.2643985Z [ OK ] ShapeTest.Basic1 (0 ms) 2022-11-23T01:57:21.2644326Z [ RUN ] ShapeTest.Basic2 2022-11-23T01:57:21.2644714Z [ OK ] ShapeTest.Basic2 (0 ms) 2022-11-23T01:57:21.2645268Z [ RUN ] ShapeTest.Basic3 2022-11-23T01:57:21.2645752Z [ OK ] ShapeTest.Basic3 (0 ms) 2022-11-23T01:57:21.2646109Z [ RUN ] ShapeTest.SetScalarType 2022-11-23T01:57:21.2646411Z [ OK ] ShapeTest.SetScalarType (0 ms) 2022-11-23T01:57:21.2646799Z [ RUN ] ShapeTest.SetSize 2022-11-23T01:57:21.2647061Z [ OK ] ShapeTest.SetSize (0 ms) 2022-11-23T01:57:21.2647318Z [ RUN ] ShapeTest.Equal 2022-11-23T01:57:21.2647581Z [ OK ] ShapeTest.Equal (0 ms) 2022-11-23T01:57:21.2647865Z [ RUN ] ShapeTest.Ostream 2022-11-23T01:57:21.2648121Z [ OK ] ShapeTest.Ostream (0 ms) 2022-11-23T01:57:21.2648428Z [----------] 7 tests from ShapeTest (0 ms total) 2022-11-23T01:57:21.2648577Z 2022-11-23T01:57:21.2648727Z [----------] 2 tests from TrieCacheTest 2022-11-23T01:57:21.2649008Z [ RUN ] TrieCacheTest.TestSinglePath 2022-11-23T01:57:21.2649330Z [ OK ] TrieCacheTest.TestSinglePath (0 ms) 2022-11-23T01:57:21.2649639Z [ RUN ] TrieCacheTest.TestTwoPaths 2022-11-23T01:57:21.2649938Z [ OK ] TrieCacheTest.TestTwoPaths (0 ms) 2022-11-23T01:57:21.2650267Z [----------] 2 tests from TrieCacheTest (0 ms total) 2022-11-23T01:57:21.2650421Z 2022-11-23T01:57:21.2650558Z [----------] 3 tests from UtilTest 2022-11-23T01:57:21.2650837Z [ RUN ] UtilTest.ExceptionCleanup 2022-11-23T01:57:21.2651132Z [ OK ] UtilTest.ExceptionCleanup (0 ms) 2022-11-23T01:57:21.2651413Z [ RUN ] UtilTest.MaybeRef 2022-11-23T01:57:21.2651682Z [ OK ] UtilTest.MaybeRef (0 ms) 2022-11-23T01:57:21.2651921Z [ RUN ] UtilTest.Iota 2022-11-23T01:57:21.2652177Z [ OK ] UtilTest.Iota (0 ms) 2022-11-23T01:57:21.2652464Z [----------] 3 tests from UtilTest (0 ms total) 2022-11-23T01:57:21.2652607Z 2022-11-23T01:57:21.2652743Z [----------] 575 tests from LazyOpsTest 2022-11-23T01:57:21.2656890Z [ RUN ] LazyOpsTest.TestScalarTensor 2022-11-23T01:57:21.2791662Z [ OK ] LazyOpsTest.TestScalarTensor (13 ms) 2022-11-23T01:57:21.2791986Z [ RUN ] LazyOpsTest.TestClone 2022-11-23T01:57:21.2828196Z [ OK ] LazyOpsTest.TestClone (3 ms) 2022-11-23T01:57:21.2828714Z [ RUN ] LazyOpsTest.TestTo 2022-11-23T01:57:21.2829228Z [ OK ] LazyOpsTest.TestTo (0 ms) 2022-11-23T01:57:21.2829562Z [ RUN ] LazyOpsTest.TestIsFloatingPoint 2022-11-23T01:57:21.2829905Z [ OK ] LazyOpsTest.TestIsFloatingPoint (0 ms) 2022-11-23T01:57:21.2830227Z [ RUN ] LazyOpsTest.TestIsSigned 2022-11-23T01:57:21.2830529Z [ OK ] LazyOpsTest.TestIsSigned (0 ms) 2022-11-23T01:57:21.2830811Z [ RUN ] LazyOpsTest.TestCastByte 2022-11-23T01:57:21.3193941Z [ OK ] LazyOpsTest.TestCastByte (36 ms) 2022-11-23T01:57:21.3194343Z [ RUN ] LazyOpsTest.TestCastChar 2022-11-23T01:57:21.3196659Z [ OK ] LazyOpsTest.TestCastChar (0 ms) 2022-11-23T01:57:21.3197171Z [ RUN ] LazyOpsTest.TestCastShort 2022-11-23T01:57:21.3200211Z [ OK ] LazyOpsTest.TestCastShort (0 ms) 2022-11-23T01:57:21.3200544Z [ RUN ] LazyOpsTest.TestCastInt 2022-11-23T01:57:21.3202704Z [ OK ] LazyOpsTest.TestCastInt (0 ms) 2022-11-23T01:57:21.3203012Z [ RUN ] LazyOpsTest.TestCastLong 2022-11-23T01:57:21.3205871Z [ OK ] LazyOpsTest.TestCastLong (0 ms) 2022-11-23T01:57:21.3206244Z [ RUN ] LazyOpsTest.TestCastFloat 2022-11-23T01:57:21.3206758Z [ OK ] LazyOpsTest.TestCastFloat (0 ms) 2022-11-23T01:57:21.3207069Z [ RUN ] LazyOpsTest.TestRetainType 2022-11-23T01:57:21.3217232Z [ OK ] LazyOpsTest.TestRetainType (1 ms) 2022-11-23T01:57:21.3217673Z [ RUN ] LazyOpsTest.TestLogicalTypeWithInterop 2022-11-23T01:57:21.3253119Z [ OK ] LazyOpsTest.TestLogicalTypeWithInterop (3 ms) 2022-11-23T01:57:21.3253455Z [ RUN ] LazyOpsTest.TestAdd 2022-11-23T01:57:21.3256599Z [ OK ] LazyOpsTest.TestAdd (0 ms) 2022-11-23T01:57:21.3256929Z [ RUN ] LazyOpsTest.TestAddHalf 2022-11-23T01:57:21.3259903Z [ OK ] LazyOpsTest.TestAddHalf (0 ms) 2022-11-23T01:57:21.3260218Z [ RUN ] LazyOpsTest.TestAddMixedPrecision 2022-11-23T01:57:21.3265542Z [ OK ] LazyOpsTest.TestAddMixedPrecision (0 ms) 2022-11-23T01:57:21.3265873Z [ RUN ] LazyOpsTest.TestAddInPlace 2022-11-23T01:57:21.3270734Z [ OK ] LazyOpsTest.TestAddInPlace (0 ms) 2022-11-23T01:57:21.3271064Z [ RUN ] LazyOpsTest.TestAddScalar 2022-11-23T01:57:21.3273870Z [ OK ] LazyOpsTest.TestAddScalar (0 ms) 2022-11-23T01:57:21.3274196Z [ RUN ] LazyOpsTest.TestAddScalarInPlace 2022-11-23T01:57:21.3278041Z [ OK ] LazyOpsTest.TestAddScalarInPlace (0 ms) 2022-11-23T01:57:21.3278505Z [ RUN ] LazyOpsTest.TestAddZeroSizeDim 2022-11-23T01:57:21.3281123Z [ OK ] LazyOpsTest.TestAddZeroSizeDim (0 ms) 2022-11-23T01:57:21.3281499Z [ RUN ] LazyOpsTest.TestSub 2022-11-23T01:57:21.3284172Z [ OK ] LazyOpsTest.TestSub (0 ms) 2022-11-23T01:57:21.3284532Z [ RUN ] LazyOpsTest.TestSubInPlace 2022-11-23T01:57:21.3300460Z [ OK ] LazyOpsTest.TestSubInPlace (1 ms) 2022-11-23T01:57:21.3300838Z [ RUN ] LazyOpsTest.TestSubScalar 2022-11-23T01:57:21.3303592Z [ OK ] LazyOpsTest.TestSubScalar (0 ms) 2022-11-23T01:57:21.3303981Z [ RUN ] LazyOpsTest.TestSubScalarInPlace 2022-11-23T01:57:21.3307560Z [ OK ] LazyOpsTest.TestSubScalarInPlace (0 ms) 2022-11-23T01:57:21.3307915Z [ RUN ] LazyOpsTest.TestMul 2022-11-23T01:57:21.3310492Z [ OK ] LazyOpsTest.TestMul (0 ms) 2022-11-23T01:57:21.3310855Z [ RUN ] LazyOpsTest.TestMulInPlace 2022-11-23T01:57:21.3333214Z [ OK ] LazyOpsTest.TestMulInPlace (2 ms) 2022-11-23T01:57:21.3333582Z [ RUN ] LazyOpsTest.TestMulScalar 2022-11-23T01:57:21.3335949Z [ OK ] LazyOpsTest.TestMulScalar (0 ms) 2022-11-23T01:57:21.3336340Z [ RUN ] LazyOpsTest.TestMulScalarInPlace 2022-11-23T01:57:21.3339927Z [ OK ] LazyOpsTest.TestMulScalarInPlace (0 ms) 2022-11-23T01:57:21.3340303Z [ RUN ] LazyOpsTest.TestDiv 2022-11-23T01:57:21.3434271Z [ OK ] LazyOpsTest.TestDiv (9 ms) 2022-11-23T01:57:21.3434639Z [ RUN ] LazyOpsTest.TestDivWithRoundingMode 2022-11-23T01:57:21.3731071Z [ OK ] LazyOpsTest.TestDivWithRoundingMode (29 ms) 2022-11-23T01:57:21.3731427Z [ RUN ] LazyOpsTest.TestDivInPlace 2022-11-23T01:57:21.3734627Z [ OK ] LazyOpsTest.TestDivInPlace (0 ms) 2022-11-23T01:57:21.3735008Z [ RUN ] LazyOpsTest.TestDivInPlaceWithRoundingMode 2022-11-23T01:57:21.3746007Z [ OK ] LazyOpsTest.TestDivInPlaceWithRoundingMode (1 ms) 2022-11-23T01:57:21.3746599Z [ RUN ] LazyOpsTest.TestDivScalar 2022-11-23T01:57:21.3775147Z [ OK ] LazyOpsTest.TestDivScalar (2 ms) 2022-11-23T01:57:21.3775475Z [ RUN ] LazyOpsTest.TestDivScalarInPlace 2022-11-23T01:57:21.3782103Z [ OK ] LazyOpsTest.TestDivScalarInPlace (0 ms) 2022-11-23T01:57:21.3782425Z [ RUN ] LazyOpsTest.TestDivOut 2022-11-23T01:57:21.3786330Z [ OK ] LazyOpsTest.TestDivOut (0 ms) 2022-11-23T01:57:21.3786638Z [ RUN ] LazyOpsTest.TestRsubScalar 2022-11-23T01:57:21.3789605Z [ OK ] LazyOpsTest.TestRsubScalar (0 ms) 2022-11-23T01:57:21.3789902Z [ RUN ] LazyOpsTest.TestNe 2022-11-23T01:57:21.3792434Z [ OK ] LazyOpsTest.TestNe (0 ms) 2022-11-23T01:57:21.3792733Z [ RUN ] LazyOpsTest.TestNeInplace 2022-11-23T01:57:21.3805977Z [ OK ] LazyOpsTest.TestNeInplace (1 ms) 2022-11-23T01:57:21.3806265Z [ RUN ] LazyOpsTest.TestEq 2022-11-23T01:57:21.3808612Z [ OK ] LazyOpsTest.TestEq (0 ms) 2022-11-23T01:57:21.3808911Z [ RUN ] LazyOpsTest.TestEqInplace 2022-11-23T01:57:21.3813246Z [ OK ] LazyOpsTest.TestEqInplace (0 ms) 2022-11-23T01:57:21.3813528Z [ RUN ] LazyOpsTest.TestGe 2022-11-23T01:57:21.3816019Z [ OK ] LazyOpsTest.TestGe (0 ms) 2022-11-23T01:57:21.3816322Z [ RUN ] LazyOpsTest.TestGeInplace 2022-11-23T01:57:21.3820559Z [ OK ] LazyOpsTest.TestGeInplace (0 ms) 2022-11-23T01:57:21.3820846Z [ RUN ] LazyOpsTest.TestLe 2022-11-23T01:57:21.3823172Z [ OK ] LazyOpsTest.TestLe (0 ms) 2022-11-23T01:57:21.3823453Z [ RUN ] LazyOpsTest.TestLeInplace 2022-11-23T01:57:21.3827718Z [ OK ] LazyOpsTest.TestLeInplace (0 ms) 2022-11-23T01:57:21.3828010Z [ RUN ] LazyOpsTest.TestGt 2022-11-23T01:57:21.3830579Z [ OK ] LazyOpsTest.TestGt (0 ms) 2022-11-23T01:57:21.3830861Z [ RUN ] LazyOpsTest.TestGtInplace 2022-11-23T01:57:21.3835170Z [ OK ] LazyOpsTest.TestGtInplace (0 ms) 2022-11-23T01:57:21.3835458Z [ RUN ] LazyOpsTest.TestLt 2022-11-23T01:57:21.3837827Z [ OK ] LazyOpsTest.TestLt (0 ms) 2022-11-23T01:57:21.3838133Z [ RUN ] LazyOpsTest.TestLtInplace 2022-11-23T01:57:21.3856820Z [ OK ] LazyOpsTest.TestLtInplace (1 ms) 2022-11-23T01:57:21.3857128Z [ RUN ] LazyOpsTest.TestNeScalar 2022-11-23T01:57:21.3868176Z [ OK ] LazyOpsTest.TestNeScalar (1 ms) 2022-11-23T01:57:21.3868482Z [ RUN ] LazyOpsTest.TestEqScalar 2022-11-23T01:57:21.3870777Z [ OK ] LazyOpsTest.TestEqScalar (0 ms) 2022-11-23T01:57:21.3871064Z [ RUN ] LazyOpsTest.TestGeScalar 2022-11-23T01:57:21.3873059Z [ OK ] LazyOpsTest.TestGeScalar (0 ms) 2022-11-23T01:57:21.3873646Z [ RUN ] LazyOpsTest.TestGeScalarInplace 2022-11-23T01:57:21.3888800Z [ OK ] LazyOpsTest.TestGeScalarInplace (1 ms) 2022-11-23T01:57:21.3889338Z [ RUN ] LazyOpsTest.TestLeScalar 2022-11-23T01:57:21.3891155Z [ OK ] LazyOpsTest.TestLeScalar (0 ms) 2022-11-23T01:57:21.3891737Z [ RUN ] LazyOpsTest.TestLeScalarInplace 2022-11-23T01:57:21.3895874Z [ OK ] LazyOpsTest.TestLeScalarInplace (0 ms) 2022-11-23T01:57:21.3896256Z [ RUN ] LazyOpsTest.TestGtScalar 2022-11-23T01:57:21.3898005Z [ OK ] LazyOpsTest.TestGtScalar (0 ms) 2022-11-23T01:57:21.3898383Z [ RUN ] LazyOpsTest.TestGtScalarInplace 2022-11-23T01:57:21.3902143Z [ OK ] LazyOpsTest.TestGtScalarInplace (0 ms) 2022-11-23T01:57:21.3902507Z [ RUN ] LazyOpsTest.TestLtScalar 2022-11-23T01:57:21.3904663Z [ OK ] LazyOpsTest.TestLtScalar (0 ms) 2022-11-23T01:57:21.3905210Z [ RUN ] LazyOpsTest.TestLtScalarInplace 2022-11-23T01:57:21.3908867Z [ OK ] LazyOpsTest.TestLtScalarInplace (0 ms) 2022-11-23T01:57:21.3909227Z [ RUN ] LazyOpsTest.TestIntegerAdd 2022-11-23T01:57:21.3920190Z [ OK ] LazyOpsTest.TestIntegerAdd (1 ms) 2022-11-23T01:57:21.3920543Z [ RUN ] LazyOpsTest.TestSVD 2022-11-23T01:57:21.3984020Z [ OK ] LazyOpsTest.TestSVD (6 ms) 2022-11-23T01:57:21.3984644Z [ RUN ] LazyOpsTest.TestQR 2022-11-23T01:57:21.3985258Z [W BatchLinearAlgebra.cpp:2458] Warning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-11-23T01:57:21.3985850Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-11-23T01:57:21.3986177Z Q, R = torch.qr(A, some) 2022-11-23T01:57:21.3986424Z should be replaced with 2022-11-23T01:57:21.3986854Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (function operator()) 2022-11-23T01:57:21.4026057Z [ OK ] LazyOpsTest.TestQR (4 ms) 2022-11-23T01:57:21.4026922Z [ RUN ] LazyOpsTest.TestSymEig 2022-11-23T01:57:21.4027411Z [W BatchLinearAlgebra.cpp:2909] Warning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T01:57:21.4028008Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T01:57:21.4028409Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T01:57:21.4028672Z should be replaced with 2022-11-23T01:57:21.4029137Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T01:57:21.4029402Z and 2022-11-23T01:57:21.4029641Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T01:57:21.4029909Z should be replaced with 2022-11-23T01:57:21.4030314Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (function operator()) 2022-11-23T01:57:21.4046492Z [ OK ] LazyOpsTest.TestSymEig (1 ms) 2022-11-23T01:57:21.4047002Z [ RUN ] LazyOpsTest.TestCholesky 2022-11-23T01:57:21.4047718Z [W BatchLinearAlgebra.cpp:1729] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release. 2022-11-23T01:57:21.4048046Z L = torch.cholesky(A) 2022-11-23T01:57:21.4048240Z should be replaced with 2022-11-23T01:57:21.4048481Z L = torch.linalg.cholesky(A) 2022-11-23T01:57:21.4048731Z and 2022-11-23T01:57:21.4048903Z U = torch.cholesky(A, upper=True) 2022-11-23T01:57:21.4049119Z should be replaced with 2022-11-23T01:57:21.4049389Z U = torch.linalg.cholesky(A).mH(). 2022-11-23T01:57:21.4049739Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator()) 2022-11-23T01:57:21.4054478Z [ OK ] LazyOpsTest.TestCholesky (0 ms) 2022-11-23T01:57:21.4054887Z [ RUN ] LazyOpsTest.TestLogDet 2022-11-23T01:57:21.4071583Z [ OK ] LazyOpsTest.TestLogDet (1 ms) 2022-11-23T01:57:21.4072013Z [ RUN ] LazyOpsTest.TestTriangularSolve 2022-11-23T01:57:21.4072532Z [W BatchLinearAlgebra.cpp:2224] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release. 2022-11-23T01:57:21.4073109Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs. 2022-11-23T01:57:21.4073500Z X = torch.triangular_solve(B, A).solution 2022-11-23T01:57:21.4073767Z should be replaced with 2022-11-23T01:57:21.4074079Z X = torch.linalg.solve_triangular(A, B). (function operator()) 2022-11-23T01:57:21.4289929Z [ OK ] LazyOpsTest.TestTriangularSolve (21 ms) 2022-11-23T01:57:21.4290270Z [ RUN ] LazyOpsTest.TestKthValue 2022-11-23T01:57:21.4322143Z [ OK ] LazyOpsTest.TestKthValue (3 ms) 2022-11-23T01:57:21.4322447Z [ RUN ] LazyOpsTest.TestTopK 2022-11-23T01:57:21.4511251Z [ OK ] LazyOpsTest.TestTopK (18 ms) 2022-11-23T01:57:21.4511758Z [ RUN ] LazyOpsTest.TestSort 2022-11-23T01:57:21.4576383Z [ OK ] LazyOpsTest.TestSort (6 ms) 2022-11-23T01:57:21.4576719Z [ RUN ] LazyOpsTest.TestSortDescWithMinValue 2022-11-23T01:57:21.4581563Z [ OK ] LazyOpsTest.TestSortDescWithMinValue (0 ms) 2022-11-23T01:57:21.4581923Z [ RUN ] LazyOpsTest.TestArgSort 2022-11-23T01:57:21.4593042Z [ OK ] LazyOpsTest.TestArgSort (1 ms) 2022-11-23T01:57:21.4593388Z [ RUN ] LazyOpsTest.TestMin 2022-11-23T01:57:21.4596522Z [ OK ] LazyOpsTest.TestMin (0 ms) 2022-11-23T01:57:21.4596962Z [ RUN ] LazyOpsTest.TestMax 2022-11-23T01:57:21.4599411Z [ OK ] LazyOpsTest.TestMax (0 ms) 2022-11-23T01:57:21.4599946Z [ RUN ] LazyOpsTest.TestUnaryMin 2022-11-23T01:57:21.4602153Z [ OK ] LazyOpsTest.TestUnaryMin (0 ms) 2022-11-23T01:57:21.4602800Z [ RUN ] LazyOpsTest.TestUnaryMax 2022-11-23T01:57:21.4604728Z [ OK ] LazyOpsTest.TestUnaryMax (0 ms) 2022-11-23T01:57:21.4605403Z [ RUN ] LazyOpsTest.TestAll 2022-11-23T01:57:21.4618949Z [ OK ] LazyOpsTest.TestAll (1 ms) 2022-11-23T01:57:21.4619478Z [ RUN ] LazyOpsTest.TestAllDim 2022-11-23T01:57:21.4621571Z [ OK ] LazyOpsTest.TestAllDim (0 ms) 2022-11-23T01:57:21.4622108Z [ RUN ] LazyOpsTest.TestAllDimKeep 2022-11-23T01:57:21.4623935Z [ OK ] LazyOpsTest.TestAllDimKeep (0 ms) 2022-11-23T01:57:21.4624470Z [ RUN ] LazyOpsTest.TestAmax 2022-11-23T01:57:21.4659049Z [ OK ] LazyOpsTest.TestAmax (3 ms) 2022-11-23T01:57:21.4659580Z [ RUN ] LazyOpsTest.TestAmin 2022-11-23T01:57:21.4693732Z [ OK ] LazyOpsTest.TestAmin (3 ms) 2022-11-23T01:57:21.4694233Z [ RUN ] LazyOpsTest.TestAny 2022-11-23T01:57:21.4704076Z [ OK ] LazyOpsTest.TestAny (1 ms) 2022-11-23T01:57:21.4704592Z [ RUN ] LazyOpsTest.TestAnyDim 2022-11-23T01:57:21.4706604Z [ OK ] LazyOpsTest.TestAnyDim (0 ms) 2022-11-23T01:57:21.4707135Z [ RUN ] LazyOpsTest.TestAnyDimKeep 2022-11-23T01:57:21.4708885Z [ OK ] LazyOpsTest.TestAnyDimKeep (0 ms) 2022-11-23T01:57:21.4709427Z [ RUN ] LazyOpsTest.TestMean 2022-11-23T01:57:21.4712055Z [ OK ] LazyOpsTest.TestMean (0 ms) 2022-11-23T01:57:21.4712602Z [ RUN ] LazyOpsTest.TestMeanCast 2022-11-23T01:57:21.4715062Z [ OK ] LazyOpsTest.TestMeanCast (0 ms) 2022-11-23T01:57:21.4715613Z [ RUN ] LazyOpsTest.TestMeanInDim 2022-11-23T01:57:21.4733316Z [ OK ] LazyOpsTest.TestMeanInDim (1 ms) 2022-11-23T01:57:21.4733888Z [ RUN ] LazyOpsTest.TestMeanInDims 2022-11-23T01:57:21.4739490Z [ OK ] LazyOpsTest.TestMeanInDims (0 ms) 2022-11-23T01:57:21.4740080Z [ RUN ] LazyOpsTest.TestMeanInDimsKeepCast 2022-11-23T01:57:21.4745835Z [ OK ] LazyOpsTest.TestMeanInDimsKeepCast (0 ms) 2022-11-23T01:57:21.4746429Z [ RUN ] LazyOpsTest.TestMeanInDimOut 2022-11-23T01:57:21.4774640Z [ OK ] LazyOpsTest.TestMeanInDimOut (2 ms) 2022-11-23T01:57:21.4775152Z [ RUN ] LazyOpsTest.TestStd 2022-11-23T01:57:21.4781340Z [ OK ] LazyOpsTest.TestStd (0 ms) 2022-11-23T01:57:21.4781888Z [ RUN ] LazyOpsTest.TestStdInDim 2022-11-23T01:57:21.4854294Z [ OK ] LazyOpsTest.TestStdInDim (7 ms) 2022-11-23T01:57:21.4854906Z [ RUN ] LazyOpsTest.TestStdWithCorrection 2022-11-23T01:57:21.4888433Z [ OK ] LazyOpsTest.TestStdWithCorrection (3 ms) 2022-11-23T01:57:21.4888834Z [ RUN ] LazyOpsTest.TestStdMeanWithCorrection 2022-11-23T01:57:21.4900846Z [ OK ] LazyOpsTest.TestStdMeanWithCorrection (1 ms) 2022-11-23T01:57:21.4901357Z [ RUN ] LazyOpsTest.TestSum 2022-11-23T01:57:21.4903872Z [ OK ] LazyOpsTest.TestSum (0 ms) 2022-11-23T01:57:21.4904190Z [ RUN ] LazyOpsTest.TestSumCast 2022-11-23T01:57:21.4906786Z [ OK ] LazyOpsTest.TestSumCast (0 ms) 2022-11-23T01:57:21.4907083Z [ RUN ] LazyOpsTest.TestSumU8 2022-11-23T01:57:21.4909204Z [ OK ] LazyOpsTest.TestSumU8 (0 ms) 2022-11-23T01:57:21.4909631Z [ RUN ] LazyOpsTest.TestSumInDim 2022-11-23T01:57:21.4926445Z [ OK ] LazyOpsTest.TestSumInDim (1 ms) 2022-11-23T01:57:21.4926768Z [ RUN ] LazyOpsTest.TestSumInDims 2022-11-23T01:57:21.4932382Z [ OK ] LazyOpsTest.TestSumInDims (0 ms) 2022-11-23T01:57:21.4932710Z [ RUN ] LazyOpsTest.TestSumInDimsKeep 2022-11-23T01:57:21.4938457Z [ OK ] LazyOpsTest.TestSumInDimsKeep (0 ms) 2022-11-23T01:57:21.4938802Z [ RUN ] LazyOpsTest.TestSumInDimsKeepCast 2022-11-23T01:57:21.4944345Z [ OK ] LazyOpsTest.TestSumInDimsKeepCast (0 ms) 2022-11-23T01:57:21.4944670Z [ RUN ] LazyOpsTest.TestVar 2022-11-23T01:57:21.4946630Z [ OK ] LazyOpsTest.TestVar (0 ms) 2022-11-23T01:57:21.4946975Z [ RUN ] LazyOpsTest.TestVarWithDim 2022-11-23T01:57:21.4952224Z [ OK ] LazyOpsTest.TestVarWithDim (0 ms) 2022-11-23T01:57:21.4952596Z [ RUN ] LazyOpsTest.TestVarWithCorrection 2022-11-23T01:57:21.4959989Z [ OK ] LazyOpsTest.TestVarWithCorrection (0 ms) 2022-11-23T01:57:21.4960377Z [ RUN ] LazyOpsTest.TestVarMeanWithCorrection 2022-11-23T01:57:21.4972725Z [ OK ] LazyOpsTest.TestVarMeanWithCorrection (1 ms) 2022-11-23T01:57:21.4973331Z [ RUN ] LazyOpsTest.TestMaxInDim 2022-11-23T01:57:21.5039366Z [ OK ] LazyOpsTest.TestMaxInDim (6 ms) 2022-11-23T01:57:21.5039816Z [ RUN ] LazyOpsTest.TestMinInDim 2022-11-23T01:57:21.5052554Z [ OK ] LazyOpsTest.TestMinInDim (1 ms) 2022-11-23T01:57:21.5053082Z [ RUN ] LazyOpsTest.TestNorm 2022-11-23T01:57:21.5055498Z [ OK ] LazyOpsTest.TestNorm (0 ms) 2022-11-23T01:57:21.5056019Z [ RUN ] LazyOpsTest.TestNormInDim 2022-11-23T01:57:21.5062356Z [ OK ] LazyOpsTest.TestNormInDim (0 ms) 2022-11-23T01:57:21.5062923Z [ RUN ] LazyOpsTest.TestNormInDims 2022-11-23T01:57:21.5068983Z [ OK ] LazyOpsTest.TestNormInDims (0 ms) 2022-11-23T01:57:21.5069430Z [ RUN ] LazyOpsTest.TestNormInDimsKeep 2022-11-23T01:57:21.5074970Z [ OK ] LazyOpsTest.TestNormInDimsKeep (0 ms) 2022-11-23T01:57:21.5075403Z [ RUN ] LazyOpsTest.TestNormalTwoTensor 2022-11-23T01:57:21.5082094Z [ OK ] LazyOpsTest.TestNormalTwoTensor (0 ms) 2022-11-23T01:57:21.5082532Z [ RUN ] LazyOpsTest.TestNormalDoubleMean 2022-11-23T01:57:21.5090303Z [ OK ] LazyOpsTest.TestNormalDoubleMean (0 ms) 2022-11-23T01:57:21.5090738Z [ RUN ] LazyOpsTest.TestNormalDoubleStd 2022-11-23T01:57:21.5092574Z [ OK ] LazyOpsTest.TestNormalDoubleStd (0 ms) 2022-11-23T01:57:21.5092891Z [ RUN ] LazyOpsTest.TestNormalInPlace 2022-11-23T01:57:21.5095599Z [ OK ] LazyOpsTest.TestNormalInPlace (0 ms) 2022-11-23T01:57:21.5095924Z [ RUN ] LazyOpsTest.TestUniformInPlace 2022-11-23T01:57:21.5098162Z [ OK ] LazyOpsTest.TestUniformInPlace (0 ms) 2022-11-23T01:57:21.5098474Z [ RUN ] LazyOpsTest.TestRandomInPlace 2022-11-23T01:57:21.5149866Z [ OK ] LazyOpsTest.TestRandomInPlace (5 ms) 2022-11-23T01:57:21.5150231Z [ RUN ] LazyOpsTest.TestRandomInPlaceDefaultFrom 2022-11-23T01:57:21.5199233Z [ OK ] LazyOpsTest.TestRandomInPlaceDefaultFrom (4 ms) 2022-11-23T01:57:21.5199627Z [ RUN ] LazyOpsTest.TestRandomInPlaceDefault 2022-11-23T01:57:21.5211636Z [ OK ] LazyOpsTest.TestRandomInPlaceDefault (1 ms) 2022-11-23T01:57:21.5211990Z [ RUN ] LazyOpsTest.TestNormGeneral 2022-11-23T01:57:21.5215281Z [ OK ] LazyOpsTest.TestNormGeneral (0 ms) 2022-11-23T01:57:21.5215600Z [ RUN ] LazyOpsTest.TestNormNuclear 2022-11-23T01:57:21.5219292Z [ OK ] LazyOpsTest.TestNormNuclear (0 ms) 2022-11-23T01:57:21.5219612Z [ RUN ] LazyOpsTest.TestFrobeniusNorm 2022-11-23T01:57:21.5221073Z [ OK ] LazyOpsTest.TestFrobeniusNorm (0 ms) 2022-11-23T01:57:21.5221412Z [ RUN ] LazyOpsTest.TestFrobeniusNormInDim 2022-11-23T01:57:21.5227537Z [ OK ] LazyOpsTest.TestFrobeniusNormInDim (0 ms) 2022-11-23T01:57:21.5227878Z [ RUN ] LazyOpsTest.TestFrobeniusNormInDims 2022-11-23T01:57:21.5238807Z [ OK ] LazyOpsTest.TestFrobeniusNormInDims (1 ms) 2022-11-23T01:57:21.5239156Z [ RUN ] LazyOpsTest.TestGroupNorm 2022-11-23T01:57:21.5284895Z [ OK ] LazyOpsTest.TestGroupNorm (4 ms) 2022-11-23T01:57:21.5848505Z [ RUN ] LazyOpsTest.TestGroupNormBackward 2022-11-23T01:57:21.5848999Z [ OK ] LazyOpsTest.TestGroupNormBackward (56 ms) 2022-11-23T01:57:21.5849431Z [ RUN ] LazyOpsTest.TestInstanceNorm 2022-11-23T01:57:21.5874421Z [ OK ] LazyOpsTest.TestInstanceNorm (2 ms) 2022-11-23T01:57:21.5874848Z [ RUN ] LazyOpsTest.TestLayerNorm 2022-11-23T01:57:21.5912814Z [ OK ] LazyOpsTest.TestLayerNorm (3 ms) 2022-11-23T01:57:21.5913337Z [ RUN ] LazyOpsTest.TestLayerNormBackward 2022-11-23T01:57:21.6154309Z [ OK ] LazyOpsTest.TestLayerNormBackward (24 ms) 2022-11-23T01:57:21.6154781Z [ RUN ] LazyOpsTest.TestNuclearNorm 2022-11-23T01:57:21.6161981Z [ OK ] LazyOpsTest.TestNuclearNorm (0 ms) 2022-11-23T01:57:21.6162404Z [ RUN ] LazyOpsTest.TestPairwiseDistance 2022-11-23T01:57:21.6842549Z [ OK ] LazyOpsTest.TestPairwiseDistance (67 ms) 2022-11-23T01:57:21.6842917Z [ RUN ] LazyOpsTest.TestCosineSimilarity 2022-11-23T01:57:21.6888041Z [ OK ] LazyOpsTest.TestCosineSimilarity (4 ms) 2022-11-23T01:57:21.6888379Z [ RUN ] LazyOpsTest.TestCosineEmbeddingLoss 2022-11-23T01:57:21.7513123Z [ OK ] LazyOpsTest.TestCosineEmbeddingLoss (62 ms) 2022-11-23T01:57:21.7513571Z [ RUN ] LazyOpsTest.TestHingeEmbeddingLoss 2022-11-23T01:57:21.7548863Z [ OK ] LazyOpsTest.TestHingeEmbeddingLoss (3 ms) 2022-11-23T01:57:21.7549249Z [ RUN ] LazyOpsTest.TestTripletMarginLoss 2022-11-23T01:57:22.0397170Z [ OK ] LazyOpsTest.TestTripletMarginLoss (284 ms) 2022-11-23T01:57:22.0397556Z [ RUN ] LazyOpsTest.TestBinaryCrossEntropy 2022-11-23T01:57:22.0416012Z [ OK ] LazyOpsTest.TestBinaryCrossEntropy (2 ms) 2022-11-23T01:57:22.0416378Z [ RUN ] LazyOpsTest.TestMarginRankingLoss 2022-11-23T01:57:22.1125200Z [ OK ] LazyOpsTest.TestMarginRankingLoss (70 ms) 2022-11-23T01:57:22.1125574Z [ RUN ] LazyOpsTest.TestBCEWithLogits 2022-11-23T01:57:22.1139483Z [ OK ] LazyOpsTest.TestBCEWithLogits (1 ms) 2022-11-23T01:57:22.1139795Z [ RUN ] LazyOpsTest.TestKlDiv 2022-11-23T01:57:22.1160219Z [ OK ] LazyOpsTest.TestKlDiv (2 ms) 2022-11-23T01:57:22.1160672Z [ RUN ] LazyOpsTest.TestProd 2022-11-23T01:57:22.1161023Z [ OK ] LazyOpsTest.TestProd (0 ms) 2022-11-23T01:57:22.1161412Z [ RUN ] LazyOpsTest.TestProdCast 2022-11-23T01:57:22.1162281Z [ OK ] LazyOpsTest.TestProdCast (0 ms) 2022-11-23T01:57:22.1162621Z [ RUN ] LazyOpsTest.TestProdInDim 2022-11-23T01:57:22.1167451Z [ OK ] LazyOpsTest.TestProdInDim (0 ms) 2022-11-23T01:57:22.1168063Z [ RUN ] LazyOpsTest.TestProdInDimKeepCast 2022-11-23T01:57:22.1171157Z [ OK ] LazyOpsTest.TestProdInDimKeepCast (0 ms) 2022-11-23T01:57:22.1171541Z [ RUN ] LazyOpsTest.TestProdInDimKeep 2022-11-23T01:57:22.1175571Z [ OK ] LazyOpsTest.TestProdInDimKeep (0 ms) 2022-11-23T01:57:22.1175958Z [ RUN ] LazyOpsTest.TestCumSum 2022-11-23T01:57:22.1189619Z [ OK ] LazyOpsTest.TestCumSum (1 ms) 2022-11-23T01:57:22.1190088Z [ RUN ] LazyOpsTest.TestCumSumCast 2022-11-23T01:57:22.1204672Z [ OK ] LazyOpsTest.TestCumSumCast (1 ms) 2022-11-23T01:57:22.1205150Z [ RUN ] LazyOpsTest.TestCumSumLong 2022-11-23T01:57:22.1216977Z [ OK ] LazyOpsTest.TestCumSumLong (1 ms) 2022-11-23T01:57:22.1217377Z [ RUN ] LazyOpsTest.TestCumSumCastLong 2022-11-23T01:57:22.1229055Z [ OK ] LazyOpsTest.TestCumSumCastLong (1 ms) 2022-11-23T01:57:22.1229444Z [ RUN ] LazyOpsTest.TestCumProd 2022-11-23T01:57:22.1233687Z [ OK ] LazyOpsTest.TestCumProd (0 ms) 2022-11-23T01:57:22.1234076Z [ RUN ] LazyOpsTest.TestCumProdCast 2022-11-23T01:57:22.1237922Z [ OK ] LazyOpsTest.TestCumProdCast (0 ms) 2022-11-23T01:57:22.1238333Z [ RUN ] LazyOpsTest.TestCumProdLong 2022-11-23T01:57:22.1246843Z [ OK ] LazyOpsTest.TestCumProdLong (0 ms) 2022-11-23T01:57:22.1247251Z [ RUN ] LazyOpsTest.TestCumProdCastLong 2022-11-23T01:57:22.1255327Z [ OK ] LazyOpsTest.TestCumProdCastLong (0 ms) 2022-11-23T01:57:22.1255729Z [ RUN ] LazyOpsTest.TestArgMin 2022-11-23T01:57:22.1256415Z [ OK ] LazyOpsTest.TestArgMin (0 ms) 2022-11-23T01:57:22.1256721Z [ RUN ] LazyOpsTest.TestArgMinDim 2022-11-23T01:57:22.1258183Z [ OK ] LazyOpsTest.TestArgMinDim (0 ms) 2022-11-23T01:57:22.1258595Z [ RUN ] LazyOpsTest.TestArgMinDimKeep 2022-11-23T01:57:22.1259212Z [ OK ] LazyOpsTest.TestArgMinDimKeep (0 ms) 2022-11-23T01:57:22.1259608Z [ RUN ] LazyOpsTest.TestArgMinSameValue 2022-11-23T01:57:22.1260251Z [ OK ] LazyOpsTest.TestArgMinSameValue (0 ms) 2022-11-23T01:57:22.1260576Z [ RUN ] LazyOpsTest.TestArgMinWrapper 2022-11-23T01:57:22.1261648Z [ OK ] LazyOpsTest.TestArgMinWrapper (0 ms) 2022-11-23T01:57:22.1262035Z [ RUN ] LazyOpsTest.TestArgMax 2022-11-23T01:57:22.1262347Z [ OK ] LazyOpsTest.TestArgMax (0 ms) 2022-11-23T01:57:22.1262641Z [ RUN ] LazyOpsTest.TestArgMaxDim 2022-11-23T01:57:22.1264486Z [ OK ] LazyOpsTest.TestArgMaxDim (0 ms) 2022-11-23T01:57:22.1265002Z [ RUN ] LazyOpsTest.TestArgMaxDimKeep 2022-11-23T01:57:22.1265520Z [ OK ] LazyOpsTest.TestArgMaxDimKeep (0 ms) 2022-11-23T01:57:22.1266025Z [ RUN ] LazyOpsTest.TestArgMaxSameValue 2022-11-23T01:57:22.1266798Z [ OK ] LazyOpsTest.TestArgMaxSameValue (0 ms) 2022-11-23T01:57:22.1267421Z [ RUN ] LazyOpsTest.TestArgMaxWrapper 2022-11-23T01:57:22.1268015Z [ OK ] LazyOpsTest.TestArgMaxWrapper (0 ms) 2022-11-23T01:57:22.1268343Z [ RUN ] LazyOpsTest.TestAsin 2022-11-23T01:57:22.1269139Z [ OK ] LazyOpsTest.TestAsin (0 ms) 2022-11-23T01:57:22.1269641Z [ RUN ] LazyOpsTest.TestAsinh 2022-11-23T01:57:22.1270581Z [ OK ] LazyOpsTest.TestAsinh (0 ms) 2022-11-23T01:57:22.1271119Z [ RUN ] LazyOpsTest.TestAsinhInPlace 2022-11-23T01:57:22.1272519Z [ OK ] LazyOpsTest.TestAsinhInPlace (0 ms) 2022-11-23T01:57:22.1273048Z [ RUN ] LazyOpsTest.TestSin 2022-11-23T01:57:22.1273832Z [ OK ] LazyOpsTest.TestSin (0 ms) 2022-11-23T01:57:22.1274328Z [ RUN ] LazyOpsTest.TestSinh 2022-11-23T01:57:22.1275316Z [ OK ] LazyOpsTest.TestSinh (0 ms) 2022-11-23T01:57:22.1276019Z [ RUN ] LazyOpsTest.TestAcos 2022-11-23T01:57:22.1276788Z [ OK ] LazyOpsTest.TestAcos (0 ms) 2022-11-23T01:57:22.1277299Z [ RUN ] LazyOpsTest.TestAcosh 2022-11-23T01:57:22.1278321Z [ OK ] LazyOpsTest.TestAcosh (0 ms) 2022-11-23T01:57:22.1278998Z [ RUN ] LazyOpsTest.TestAcoshInPlace 2022-11-23T01:57:22.1280399Z [ OK ] LazyOpsTest.TestAcoshInPlace (0 ms) 2022-11-23T01:57:22.1281076Z [ RUN ] LazyOpsTest.TestCos 2022-11-23T01:57:22.1283538Z [ OK ] LazyOpsTest.TestCos (0 ms) 2022-11-23T01:57:22.1284041Z [ RUN ] LazyOpsTest.TestCosh 2022-11-23T01:57:22.1285167Z [ OK ] LazyOpsTest.TestCosh (0 ms) 2022-11-23T01:57:22.1285489Z [ RUN ] LazyOpsTest.TestAtan 2022-11-23T01:57:22.1286851Z [ OK ] LazyOpsTest.TestAtan (0 ms) 2022-11-23T01:57:22.1287160Z [ RUN ] LazyOpsTest.TestAtanh 2022-11-23T01:57:22.1287812Z [ OK ] LazyOpsTest.TestAtanh (0 ms) 2022-11-23T01:57:22.1288174Z [ RUN ] LazyOpsTest.TestAtanhInPlace 2022-11-23T01:57:22.1290059Z [ OK ] LazyOpsTest.TestAtanhInPlace (0 ms) 2022-11-23T01:57:22.1290576Z [ RUN ] LazyOpsTest.TestAtan2 2022-11-23T01:57:22.1291297Z [ OK ] LazyOpsTest.TestAtan2 (0 ms) 2022-11-23T01:57:22.1291788Z [ RUN ] LazyOpsTest.TestTan 2022-11-23T01:57:22.1292637Z [ OK ] LazyOpsTest.TestTan (0 ms) 2022-11-23T01:57:22.1293135Z [ RUN ] LazyOpsTest.TestTanh 2022-11-23T01:57:22.1295806Z [ OK ] LazyOpsTest.TestTanh (0 ms) 2022-11-23T01:57:22.1296347Z [ RUN ] LazyOpsTest.TestClampMinMax 2022-11-23T01:57:22.1299459Z [ OK ] LazyOpsTest.TestClampMinMax (0 ms) 2022-11-23T01:57:22.1299792Z [ RUN ] LazyOpsTest.TestClampMin 2022-11-23T01:57:22.1302652Z [ OK ] LazyOpsTest.TestClampMin (0 ms) 2022-11-23T01:57:22.1302960Z [ RUN ] LazyOpsTest.TestClampMax 2022-11-23T01:57:22.1305606Z [ OK ] LazyOpsTest.TestClampMax (0 ms) 2022-11-23T01:57:22.1305914Z [ RUN ] LazyOpsTest.TestClampMinExplicit 2022-11-23T01:57:22.1308537Z [ OK ] LazyOpsTest.TestClampMinExplicit (0 ms) 2022-11-23T01:57:22.1309018Z [ RUN ] LazyOpsTest.TestClampMaxExplicit 2022-11-23T01:57:22.1309811Z [ OK ] LazyOpsTest.TestClampMaxExplicit (0 ms) 2022-11-23T01:57:22.1310163Z [ RUN ] LazyOpsTest.TestClampMinExplicitInPlace 2022-11-23T01:57:22.1313224Z [ OK ] LazyOpsTest.TestClampMinExplicitInPlace (0 ms) 2022-11-23T01:57:22.1313607Z [ RUN ] LazyOpsTest.TestClampMaxExplicitInPlace 2022-11-23T01:57:22.1314944Z [ OK ] LazyOpsTest.TestClampMaxExplicitInPlace (0 ms) 2022-11-23T01:57:22.1315361Z [ RUN ] LazyOpsTest.TestCeil 2022-11-23T01:57:22.1316244Z [ OK ] LazyOpsTest.TestCeil (0 ms) 2022-11-23T01:57:22.1316582Z [ RUN ] LazyOpsTest.TestFloor 2022-11-23T01:57:22.1319393Z [ OK ] LazyOpsTest.TestFloor (0 ms) 2022-11-23T01:57:22.1320030Z [ RUN ] LazyOpsTest.TestRound 2022-11-23T01:57:22.1321145Z [ OK ] LazyOpsTest.TestRound (0 ms) 2022-11-23T01:57:22.1321649Z [ RUN ] LazyOpsTest.TestTrunc 2022-11-23T01:57:22.1324584Z [ OK ] LazyOpsTest.TestTrunc (0 ms) 2022-11-23T01:57:22.1325273Z [ RUN ] LazyOpsTest.TestFrac 2022-11-23T01:57:22.1327851Z [ OK ] LazyOpsTest.TestFrac (0 ms) 2022-11-23T01:57:22.1328339Z [ RUN ] LazyOpsTest.TestNeg 2022-11-23T01:57:22.1330780Z [ OK ] LazyOpsTest.TestNeg (0 ms) 2022-11-23T01:57:22.1331311Z [ RUN ] LazyOpsTest.TestBitwiseNot 2022-11-23T01:57:22.1333085Z [ OK ] LazyOpsTest.TestBitwiseNot (0 ms) 2022-11-23T01:57:22.1333688Z [ RUN ] LazyOpsTest.TestBitwiseNotInPlace 2022-11-23T01:57:22.1335823Z [ OK ] LazyOpsTest.TestBitwiseNotInPlace (0 ms) 2022-11-23T01:57:22.1336236Z [ RUN ] LazyOpsTest.TestSign 2022-11-23T01:57:22.1336664Z [ OK ] LazyOpsTest.TestSign (0 ms) 2022-11-23T01:57:22.1337190Z [ RUN ] LazyOpsTest.TestSignByte 2022-11-23T01:57:22.1337919Z [ OK ] LazyOpsTest.TestSignByte (0 ms) 2022-11-23T01:57:22.1338409Z [ RUN ] LazyOpsTest.TestAbs 2022-11-23T01:57:22.1340108Z [ OK ] LazyOpsTest.TestAbs (0 ms) 2022-11-23T01:57:22.1340511Z [ RUN ] LazyOpsTest.TestAbsByte 2022-11-23T01:57:22.1342679Z [ OK ] LazyOpsTest.TestAbsByte (0 ms) 2022-11-23T01:57:22.1343022Z [ RUN ] LazyOpsTest.TestEmptyLike 2022-11-23T01:57:22.1343459Z [ OK ] LazyOpsTest.TestEmptyLike (0 ms) 2022-11-23T01:57:22.1343780Z [ RUN ] LazyOpsTest.TestEmptyLikeOptions 2022-11-23T01:57:22.1344116Z [ OK ] LazyOpsTest.TestEmptyLikeOptions (0 ms) 2022-11-23T01:57:22.1344424Z [ RUN ] LazyOpsTest.TestEmpty 2022-11-23T01:57:22.1344709Z [ OK ] LazyOpsTest.TestEmpty (0 ms) 2022-11-23T01:57:22.1345014Z [ RUN ] LazyOpsTest.TestZeroInPlace 2022-11-23T01:57:22.1346310Z [ OK ] LazyOpsTest.TestZeroInPlace (0 ms) 2022-11-23T01:57:22.1346682Z [ RUN ] LazyOpsTest.TestZerosLike 2022-11-23T01:57:22.1347510Z [ OK ] LazyOpsTest.TestZerosLike (0 ms) 2022-11-23T01:57:22.1347992Z [ RUN ] LazyOpsTest.TestZerosLikeOptions 2022-11-23T01:57:22.1348379Z [ OK ] LazyOpsTest.TestZerosLikeOptions (0 ms) 2022-11-23T01:57:22.1348687Z [ RUN ] LazyOpsTest.TestZeros 2022-11-23T01:57:22.1351218Z [ OK ] LazyOpsTest.TestZeros (0 ms) 2022-11-23T01:57:22.1351505Z [ RUN ] LazyOpsTest.TestOnes 2022-11-23T01:57:22.1354691Z [ OK ] LazyOpsTest.TestOnes (0 ms) 2022-11-23T01:57:22.1355045Z [ RUN ] LazyOpsTest.TestOnesLike 2022-11-23T01:57:22.1356091Z [ OK ] LazyOpsTest.TestOnesLike (0 ms) 2022-11-23T01:57:22.1356421Z [ RUN ] LazyOpsTest.TestOnesLikeOptions 2022-11-23T01:57:22.1357019Z [ OK ] LazyOpsTest.TestOnesLikeOptions (0 ms) 2022-11-23T01:57:22.1361602Z [ RUN ] LazyOpsTest.TestFull 2022-11-23T01:57:22.1361999Z [ OK ] LazyOpsTest.TestFull (0 ms) 2022-11-23T01:57:22.1362399Z [ RUN ] LazyOpsTest.TestFullLike 2022-11-23T01:57:22.1363036Z [ OK ] LazyOpsTest.TestFullLike (0 ms) 2022-11-23T01:57:22.1363592Z [ RUN ] LazyOpsTest.TestFullLikeOptions 2022-11-23T01:57:22.1364181Z [ OK ] LazyOpsTest.TestFullLikeOptions (0 ms) 2022-11-23T01:57:22.1364682Z [ RUN ] LazyOpsTest.TestARange 2022-11-23T01:57:22.1371829Z [ OK ] LazyOpsTest.TestARange (0 ms) 2022-11-23T01:57:22.1372348Z [ RUN ] LazyOpsTest.TestARangeOut 2022-11-23T01:57:22.1373292Z [W RangeFactories.cpp:216] Warning: The number of elements in the out tensor of shape [4] is 4 which does not match the computed number of elements 200. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (200,). (function operator()) 2022-11-23T01:57:22.1374707Z [ OK ] LazyOpsTest.TestARangeOut (0 ms) 2022-11-23T01:57:22.1375310Z [ RUN ] LazyOpsTest.TestDimARange 2022-11-23T01:57:22.1380068Z [ OK ] LazyOpsTest.TestDimARange (0 ms) 2022-11-23T01:57:22.1380608Z [ RUN ] LazyOpsTest.TestBartlettWindow 2022-11-23T01:57:22.1405010Z [ OK ] LazyOpsTest.TestBartlettWindow (2 ms) 2022-11-23T01:57:22.1405666Z [ RUN ] LazyOpsTest.TestBlackmanWindow 2022-11-23T01:57:22.1427696Z [ OK ] LazyOpsTest.TestBlackmanWindow (2 ms) 2022-11-23T01:57:22.1428352Z [ RUN ] LazyOpsTest.TestHammingWindow 2022-11-23T01:57:22.1444987Z [ OK ] LazyOpsTest.TestHammingWindow (1 ms) 2022-11-23T01:57:22.1445653Z [ RUN ] LazyOpsTest.TestHannWindow 2022-11-23T01:57:22.2031577Z [ OK ] LazyOpsTest.TestHannWindow (58 ms) 2022-11-23T01:57:22.2032058Z [ RUN ] LazyOpsTest.TestLogSigmoid 2022-11-23T01:57:22.2035412Z [ OK ] LazyOpsTest.TestLogSigmoid (0 ms) 2022-11-23T01:57:22.2035853Z [ RUN ] LazyOpsTest.TestLogSigmoidForward 2022-11-23T01:57:22.2041127Z [ OK ] LazyOpsTest.TestLogSigmoidForward (0 ms) 2022-11-23T01:57:22.2041721Z [ RUN ] LazyOpsTest.TestLogsumexp 2022-11-23T01:57:22.2084246Z [ OK ] LazyOpsTest.TestLogsumexp (4 ms) 2022-11-23T01:57:22.2084552Z [ RUN ] LazyOpsTest.TestSiLU 2022-11-23T01:57:22.2087436Z [ OK ] LazyOpsTest.TestSiLU (0 ms) 2022-11-23T01:57:22.2087752Z [ RUN ] LazyOpsTest.TestSigmoid 2022-11-23T01:57:22.2090373Z [ OK ] LazyOpsTest.TestSigmoid (0 ms) 2022-11-23T01:57:22.2090731Z [ RUN ] LazyOpsTest.TestMatmul_1x1 2022-11-23T01:57:22.2092297Z [ OK ] LazyOpsTest.TestMatmul_1x1 (0 ms) 2022-11-23T01:57:22.2092799Z [ RUN ] LazyOpsTest.TestMatmul_2x1 2022-11-23T01:57:22.2095960Z [ OK ] LazyOpsTest.TestMatmul_2x1 (0 ms) 2022-11-23T01:57:22.2096473Z [ RUN ] LazyOpsTest.TestMatmul_1x2 2022-11-23T01:57:22.2100655Z [ OK ] LazyOpsTest.TestMatmul_1x2 (0 ms) 2022-11-23T01:57:22.2100955Z [ RUN ] LazyOpsTest.TestMatmul_2x2 2022-11-23T01:57:22.2104578Z [ OK ] LazyOpsTest.TestMatmul_2x2 (0 ms) 2022-11-23T01:57:22.2105023Z [ RUN ] LazyOpsTest.TestMatmulBcast 2022-11-23T01:57:22.2114392Z [ OK ] LazyOpsTest.TestMatmulBcast (0 ms) 2022-11-23T01:57:22.2114945Z [ RUN ] LazyOpsTest.TestDot 2022-11-23T01:57:22.2115570Z [ OK ] LazyOpsTest.TestDot (0 ms) 2022-11-23T01:57:22.2116084Z [ RUN ] LazyOpsTest.TestTensorDot 2022-11-23T01:57:22.2125911Z [ OK ] LazyOpsTest.TestTensorDot (0 ms) 2022-11-23T01:57:22.2126252Z [ RUN ] LazyOpsTest.TestGer 2022-11-23T01:57:22.2131065Z [ OK ] LazyOpsTest.TestGer (0 ms) 2022-11-23T01:57:22.2131421Z [ RUN ] LazyOpsTest.TestMv 2022-11-23T01:57:22.2134276Z [ OK ] LazyOpsTest.TestMv (0 ms) 2022-11-23T01:57:22.2134643Z [ RUN ] LazyOpsTest.TestMvOut 2022-11-23T01:57:22.2148095Z [ OK ] LazyOpsTest.TestMvOut (1 ms) 2022-11-23T01:57:22.2148632Z [ RUN ] LazyOpsTest.TestBatchAddBatchMatMul 2022-11-23T01:57:22.2152661Z [ OK ] LazyOpsTest.TestBatchAddBatchMatMul (0 ms) 2022-11-23T01:57:22.2153199Z [ RUN ] LazyOpsTest.TestBatchAddBatchMatMulInPlace 2022-11-23T01:57:22.2157151Z [ OK ] LazyOpsTest.TestBatchAddBatchMatMulInPlace (0 ms) 2022-11-23T01:57:22.2157564Z [ RUN ] LazyOpsTest.TestBatchMatMul 2022-11-23T01:57:22.2160417Z [ OK ] LazyOpsTest.TestBatchMatMul (0 ms) 2022-11-23T01:57:22.2160786Z [ RUN ] LazyOpsTest.TestChainMatMul 2022-11-23T01:57:22.2161275Z [W LinearAlgebra.cpp:1076] Warning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (function operator()) 2022-11-23T01:57:22.2167828Z [ OK ] LazyOpsTest.TestChainMatMul (0 ms) 2022-11-23T01:57:22.2168372Z [ RUN ] LazyOpsTest.TestLinear 2022-11-23T01:57:22.2176595Z [ OK ] LazyOpsTest.TestLinear (0 ms) 2022-11-23T01:57:22.2177005Z [ RUN ] LazyOpsTest.TestPinverse 2022-11-23T01:57:22.2197456Z [ OK ] LazyOpsTest.TestPinverse (2 ms) 2022-11-23T01:57:22.2197848Z [ RUN ] LazyOpsTest.TestEinsumOuter 2022-11-23T01:57:22.2205363Z [ OK ] LazyOpsTest.TestEinsumOuter (0 ms) 2022-11-23T01:57:22.2205705Z [ RUN ] LazyOpsTest.TestEinsumOuterBackward 2022-11-23T01:57:22.2227513Z [ OK ] LazyOpsTest.TestEinsumOuterBackward (2 ms) 2022-11-23T01:57:22.2227949Z [ RUN ] LazyOpsTest.TestEinsumBatchMatMul 2022-11-23T01:57:22.2238520Z [ OK ] LazyOpsTest.TestEinsumBatchMatMul (1 ms) 2022-11-23T01:57:22.2239013Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerBilinear 2022-11-23T01:57:22.2256522Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerBilinear (1 ms) 2022-11-23T01:57:22.2257036Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal 2022-11-23T01:57:22.2260977Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal (0 ms) 2022-11-23T01:57:22.2261506Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal 2022-11-23T01:57:22.2265631Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal (0 ms) 2022-11-23T01:57:22.2266167Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute 2022-11-23T01:57:22.2269398Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute (0 ms) 2022-11-23T01:57:22.2269935Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis 2022-11-23T01:57:22.2279506Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis (0 ms) 2022-11-23T01:57:22.2279947Z [ RUN ] LazyOpsTest.TestBilinear 2022-11-23T01:57:22.2411581Z [ OK ] LazyOpsTest.TestBilinear (13 ms) 2022-11-23T01:57:22.2412019Z [ RUN ] LazyOpsTest.TestUpsampleNearest2D 2022-11-23T01:57:22.2415748Z [ OK ] LazyOpsTest.TestUpsampleNearest2D (0 ms) 2022-11-23T01:57:22.2416226Z [ RUN ] LazyOpsTest.TestUpsampleNearest2DBackward 2022-11-23T01:57:22.2427827Z [ OK ] LazyOpsTest.TestUpsampleNearest2DBackward (1 ms) 2022-11-23T01:57:22.2428441Z [ RUN ] LazyOpsTest.TestUpsampleNearest2DWithScale 2022-11-23T01:57:22.2432468Z [ OK ] LazyOpsTest.TestUpsampleNearest2DWithScale (0 ms) 2022-11-23T01:57:22.2433134Z [ RUN ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale 2022-11-23T01:57:22.2445613Z [ OK ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale (1 ms) 2022-11-23T01:57:22.2446500Z [ RUN ] LazyOpsTest.TestUpsampleBilinear2D 2022-11-23T01:57:22.2455159Z [ OK ] LazyOpsTest.TestUpsampleBilinear2D (0 ms) 2022-11-23T01:57:22.2456060Z [ RUN ] LazyOpsTest.TestUpsampleBilinear2DBackward 2022-11-23T01:57:22.2475546Z [ OK ] LazyOpsTest.TestUpsampleBilinear2DBackward (2 ms) 2022-11-23T01:57:22.2476181Z [ RUN ] LazyOpsTest.TestAddCMul 2022-11-23T01:57:22.2479746Z [ OK ] LazyOpsTest.TestAddCMul (0 ms) 2022-11-23T01:57:22.2480256Z [ RUN ] LazyOpsTest.TestAddCDiv 2022-11-23T01:57:22.2484095Z [ OK ] LazyOpsTest.TestAddCDiv (0 ms) 2022-11-23T01:57:22.2484695Z [ RUN ] LazyOpsTest.TestAddCDivWithBroadcast 2022-11-23T01:57:22.2488492Z [ OK ] LazyOpsTest.TestAddCDivWithBroadcast (0 ms) 2022-11-23T01:57:22.2488998Z [ RUN ] LazyOpsTest.TestSize 2022-11-23T01:57:22.2489458Z [ OK ] LazyOpsTest.TestSize (0 ms) 2022-11-23T01:57:22.2489930Z [ RUN ] LazyOpsTest.TestSelect 2022-11-23T01:57:22.2576540Z [ OK ] LazyOpsTest.TestSelect (8 ms) 2022-11-23T01:57:22.2577229Z [ RUN ] LazyOpsTest.TestBernoulliScalarProb 2022-11-23T01:57:22.2582628Z [ OK ] LazyOpsTest.TestBernoulliScalarProb (0 ms) 2022-11-23T01:57:22.2583105Z [ RUN ] LazyOpsTest.TestBernoulliTensorProb 2022-11-23T01:57:22.2586178Z [ OK ] LazyOpsTest.TestBernoulliTensorProb (0 ms) 2022-11-23T01:57:22.2586702Z [ RUN ] LazyOpsTest.TestBernoulliScalarProbInPlace 2022-11-23T01:57:22.2590268Z [ OK ] LazyOpsTest.TestBernoulliScalarProbInPlace (0 ms) 2022-11-23T01:57:22.2590790Z [ RUN ] LazyOpsTest.TestBernoulliTensorProbInPlace 2022-11-23T01:57:22.2594747Z [ OK ] LazyOpsTest.TestBernoulliTensorProbInPlace (0 ms) 2022-11-23T01:57:22.2595193Z [ RUN ] LazyOpsTest.TestDropout 2022-11-23T01:57:22.2598814Z [ OK ] LazyOpsTest.TestDropout (0 ms) 2022-11-23T01:57:22.2600343Z [ RUN ] LazyOpsTest.TestDropoutInPlace 2022-11-23T01:57:22.2607132Z [ OK ] LazyOpsTest.TestDropoutInPlace (0 ms) 2022-11-23T01:57:22.2609284Z [ RUN ] LazyOpsTest.TestRandperm 2022-11-23T01:57:22.2611154Z [ OK ] LazyOpsTest.TestRandperm (0 ms) 2022-11-23T01:57:22.2612663Z [ RUN ] LazyOpsTest.TestSlice 2022-11-23T01:57:22.2619749Z [ OK ] LazyOpsTest.TestSlice (1 ms) 2022-11-23T01:57:22.2620131Z [ RUN ] LazyOpsTest.TestTake 2022-11-23T01:57:22.2621541Z [ OK ] LazyOpsTest.TestTake (0 ms) 2022-11-23T01:57:22.2621921Z [ RUN ] LazyOpsTest.TestTakeBackward 2022-11-23T01:57:22.2633098Z [ OK ] LazyOpsTest.TestTakeBackward (1 ms) 2022-11-23T01:57:22.2633650Z [ RUN ] LazyOpsTest.TestStack 2022-11-23T01:57:22.2656792Z [ OK ] LazyOpsTest.TestStack (2 ms) 2022-11-23T01:57:22.2657324Z [ RUN ] LazyOpsTest.TestCat 2022-11-23T01:57:22.2664095Z [ OK ] LazyOpsTest.TestCat (0 ms) 2022-11-23T01:57:22.2664647Z [ RUN ] LazyOpsTest.TestUnbind 2022-11-23T01:57:22.2675883Z [ OK ] LazyOpsTest.TestUnbind (1 ms) 2022-11-23T01:57:22.2676425Z [ RUN ] LazyOpsTest.TestRepeat 2022-11-23T01:57:22.2687271Z [ OK ] LazyOpsTest.TestRepeat (1 ms) 2022-11-23T01:57:22.2687774Z [ RUN ] LazyOpsTest.TestGather 2022-11-23T01:57:22.2693276Z [ OK ] LazyOpsTest.TestGather (0 ms) 2022-11-23T01:57:22.2693815Z [ RUN ] LazyOpsTest.TestScatter 2022-11-23T01:57:22.2696410Z [ OK ] LazyOpsTest.TestScatter (0 ms) 2022-11-23T01:57:22.2696948Z [ RUN ] LazyOpsTest.TestScatterR1 2022-11-23T01:57:22.2697994Z [ OK ] LazyOpsTest.TestScatterR1 (0 ms) 2022-11-23T01:57:22.2698555Z [ RUN ] LazyOpsTest.TestScatterR3 2022-11-23T01:57:22.2700074Z [ OK ] LazyOpsTest.TestScatterR3 (0 ms) 2022-11-23T01:57:22.2700684Z [ RUN ] LazyOpsTest.TestScatterBiggerSource 2022-11-23T01:57:22.2702859Z [ OK ] LazyOpsTest.TestScatterBiggerSource (0 ms) 2022-11-23T01:57:22.2703467Z [ RUN ] LazyOpsTest.TestScatterScalar 2022-11-23T01:57:22.2705404Z [ OK ] LazyOpsTest.TestScatterScalar (0 ms) 2022-11-23T01:57:22.2706068Z [ RUN ] LazyOpsTest.TestScatterReduceAdd 2022-11-23T01:57:22.2708330Z [ OK ] LazyOpsTest.TestScatterReduceAdd (0 ms) 2022-11-23T01:57:22.2708888Z [ RUN ] LazyOpsTest.TestScatterAdd 2022-11-23T01:57:22.2715355Z [ OK ] LazyOpsTest.TestScatterAdd (0 ms) 2022-11-23T01:57:22.2715942Z [ RUN ] LazyOpsTest.TestScatterAddInPlace 2022-11-23T01:57:22.2731255Z [ OK ] LazyOpsTest.TestScatterAddInPlace (1 ms) 2022-11-23T01:57:22.2731805Z [ RUN ] LazyOpsTest.TestIndexSelect 2022-11-23T01:57:22.2819091Z [ OK ] LazyOpsTest.TestIndexSelect (8 ms) 2022-11-23T01:57:22.2819593Z [ RUN ] LazyOpsTest.TestIndexSelectRank0 2022-11-23T01:57:22.2841368Z [ OK ] LazyOpsTest.TestIndexSelectRank0 (2 ms) 2022-11-23T01:57:22.2841936Z [ RUN ] LazyOpsTest.TestInverse 2022-11-23T01:57:22.2846673Z [ OK ] LazyOpsTest.TestInverse (0 ms) 2022-11-23T01:57:22.2847005Z [ RUN ] LazyOpsTest.TestIsnan 2022-11-23T01:57:22.2847296Z [ OK ] LazyOpsTest.TestIsnan (0 ms) 2022-11-23T01:57:22.2847586Z [ RUN ] LazyOpsTest.TestExpand 2022-11-23T01:57:22.2851188Z [ OK ] LazyOpsTest.TestExpand (0 ms) 2022-11-23T01:57:22.2851522Z [ RUN ] LazyOpsTest.TestExpandBack 2022-11-23T01:57:22.2854216Z [ OK ] LazyOpsTest.TestExpandBack (0 ms) 2022-11-23T01:57:22.2854551Z [ RUN ] LazyOpsTest.TestExpandAs 2022-11-23T01:57:22.2858271Z [ OK ] LazyOpsTest.TestExpandAs (0 ms) 2022-11-23T01:57:22.2858679Z [ RUN ] LazyOpsTest.TestEye 2022-11-23T01:57:22.2859164Z [ OK ] LazyOpsTest.TestEye (0 ms) 2022-11-23T01:57:22.2859543Z [ RUN ] LazyOpsTest.TestEyeWide 2022-11-23T01:57:22.2860494Z [ OK ] LazyOpsTest.TestEyeWide (0 ms) 2022-11-23T01:57:22.2861024Z [ RUN ] LazyOpsTest.TestEyeNarrow 2022-11-23T01:57:22.2861593Z [ OK ] LazyOpsTest.TestEyeNarrow (0 ms) 2022-11-23T01:57:22.2861979Z [ RUN ] LazyOpsTest.TestBroadcastTensors 2022-11-23T01:57:22.2867761Z [ OK ] LazyOpsTest.TestBroadcastTensors (0 ms) 2022-11-23T01:57:22.2868204Z [ RUN ] LazyOpsTest.TestOneIndex 2022-11-23T01:57:22.2881937Z [ OK ] LazyOpsTest.TestOneIndex (1 ms) 2022-11-23T01:57:22.2882334Z [ RUN ] LazyOpsTest.TestOneIndexTransfer 2022-11-23T01:57:22.2890782Z [ OK ] LazyOpsTest.TestOneIndexTransfer (0 ms) 2022-11-23T01:57:22.2891181Z [ RUN ] LazyOpsTest.TestNonzero 2022-11-23T01:57:22.2892867Z [ OK ] LazyOpsTest.TestNonzero (0 ms) 2022-11-23T01:57:22.2893305Z [ RUN ] LazyOpsTest.TestMaskedSelect 2022-11-23T01:57:22.2894580Z [ OK ] LazyOpsTest.TestMaskedSelect (0 ms) 2022-11-23T01:57:22.2895016Z [ RUN ] LazyOpsTest.TestMaskedScatter 2022-11-23T01:57:22.2897568Z [ OK ] LazyOpsTest.TestMaskedScatter (0 ms) 2022-11-23T01:57:22.2898006Z [ RUN ] LazyOpsTest.TestMultiIndexHeadNull 2022-11-23T01:57:22.2906429Z [ OK ] LazyOpsTest.TestMultiIndexHeadNull (0 ms) 2022-11-23T01:57:22.2906979Z [ RUN ] LazyOpsTest.TestMultiIndexMiddleNull 2022-11-23T01:57:22.2914612Z [ OK ] LazyOpsTest.TestMultiIndexMiddleNull (0 ms) 2022-11-23T01:57:22.2915071Z [ RUN ] LazyOpsTest.TestMultiIndexTailNull 2022-11-23T01:57:22.2923532Z [ OK ] LazyOpsTest.TestMultiIndexTailNull (0 ms) 2022-11-23T01:57:22.2924001Z [ RUN ] LazyOpsTest.TestMultiIndexMiddleBroadcast 2022-11-23T01:57:22.2932086Z [ OK ] LazyOpsTest.TestMultiIndexMiddleBroadcast (0 ms) 2022-11-23T01:57:22.2932669Z [ RUN ] LazyOpsTest.TestMultiIndexTailBroadcast 2022-11-23T01:57:22.2940003Z [ OK ] LazyOpsTest.TestMultiIndexTailBroadcast (0 ms) 2022-11-23T01:57:22.2940452Z [ RUN ] LazyOpsTest.TestMaskIndex 2022-11-23T01:57:22.2944825Z [ OK ] LazyOpsTest.TestMaskIndex (0 ms) 2022-11-23T01:57:22.2945236Z [ RUN ] LazyOpsTest.TestOneIndexPut 2022-11-23T01:57:22.2975825Z [ OK ] LazyOpsTest.TestOneIndexPut (3 ms) 2022-11-23T01:57:22.2976292Z [ RUN ] LazyOpsTest.TestOneIndexPutInPlace 2022-11-23T01:57:22.2997529Z [ OK ] LazyOpsTest.TestOneIndexPutInPlace (2 ms) 2022-11-23T01:57:22.2998010Z [ RUN ] LazyOpsTest.TestOneIndexPutTransfer 2022-11-23T01:57:22.3014098Z [ OK ] LazyOpsTest.TestOneIndexPutTransfer (1 ms) 2022-11-23T01:57:22.3014553Z [ RUN ] LazyOpsTest.TestMultiIndexPut 2022-11-23T01:57:22.3031505Z [ OK ] LazyOpsTest.TestMultiIndexPut (1 ms) 2022-11-23T01:57:22.3031938Z [ RUN ] LazyOpsTest.TestMultiIndexPutHeadNull 2022-11-23T01:57:22.3058641Z [ OK ] LazyOpsTest.TestMultiIndexPutHeadNull (2 ms) 2022-11-23T01:57:22.3059140Z [ RUN ] LazyOpsTest.TestMultiIndexPutMiddleNull 2022-11-23T01:57:22.3076097Z [ OK ] LazyOpsTest.TestMultiIndexPutMiddleNull (1 ms) 2022-11-23T01:57:22.3076909Z [ RUN ] LazyOpsTest.TestMultiIndexPutTailNull 2022-11-23T01:57:22.3093281Z [ OK ] LazyOpsTest.TestMultiIndexPutTailNull (1 ms) 2022-11-23T01:57:22.3093967Z [ RUN ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast 2022-11-23T01:57:22.3113384Z [ OK ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast (1 ms) 2022-11-23T01:57:22.3114110Z [ RUN ] LazyOpsTest.TestMultiIndexPutTailBroadcast 2022-11-23T01:57:22.3132489Z [ OK ] LazyOpsTest.TestMultiIndexPutTailBroadcast (1 ms) 2022-11-23T01:57:22.3133159Z [ RUN ] LazyOpsTest.TestMaskIndexPut 2022-11-23T01:57:22.3153167Z [ OK ] LazyOpsTest.TestMaskIndexPut (2 ms) 2022-11-23T01:57:22.3153598Z [ RUN ] LazyOpsTest.TestIndexPutImpl 2022-11-23T01:57:22.3177191Z [ OK ] LazyOpsTest.TestIndexPutImpl (2 ms) 2022-11-23T01:57:22.3177647Z [ RUN ] LazyOpsTest.TestIndexFillWithScalar 2022-11-23T01:57:22.3208988Z [ OK ] LazyOpsTest.TestIndexFillWithScalar (3 ms) 2022-11-23T01:57:22.3209480Z [ RUN ] LazyOpsTest.TestIndexFillWithScalarInPlace 2022-11-23T01:57:22.3236624Z [ OK ] LazyOpsTest.TestIndexFillWithScalarInPlace (2 ms) 2022-11-23T01:57:22.3237021Z [ RUN ] LazyOpsTest.TestIndexFillWithTensor 2022-11-23T01:57:22.3263229Z [ OK ] LazyOpsTest.TestIndexFillWithTensor (2 ms) 2022-11-23T01:57:22.3263687Z [ RUN ] LazyOpsTest.TestIndexFillWithTensorInPlace 2022-11-23T01:57:22.3295033Z [ OK ] LazyOpsTest.TestIndexFillWithTensorInPlace (3 ms) 2022-11-23T01:57:22.3295448Z [ RUN ] LazyOpsTest.TestIndexFillRank0 2022-11-23T01:57:22.3320960Z [ OK ] LazyOpsTest.TestIndexFillRank0 (2 ms) 2022-11-23T01:57:22.3321339Z [ RUN ] LazyOpsTest.TestIndexAdd 2022-11-23T01:57:22.3390961Z [ OK ] LazyOpsTest.TestIndexAdd (6 ms) 2022-11-23T01:57:22.3391294Z [ RUN ] LazyOpsTest.TestIndexAddInPlace 2022-11-23T01:57:22.3442990Z [ OK ] LazyOpsTest.TestIndexAddInPlace (5 ms) 2022-11-23T01:57:22.3443333Z [ RUN ] LazyOpsTest.TestIndexAddRank0 2022-11-23T01:57:22.3464432Z [ OK ] LazyOpsTest.TestIndexAddRank0 (2 ms) 2022-11-23T01:57:22.3464783Z [ RUN ] LazyOpsTest.TestIndexCopy 2022-11-23T01:57:22.3486929Z [ OK ] LazyOpsTest.TestIndexCopy (2 ms) 2022-11-23T01:57:22.3487305Z [ RUN ] LazyOpsTest.TestIndexCopyInPlace 2022-11-23T01:57:22.3514595Z [ OK ] LazyOpsTest.TestIndexCopyInPlace (2 ms) 2022-11-23T01:57:22.3515012Z [ RUN ] LazyOpsTest.TestIndexCopyRank0 2022-11-23T01:57:22.3535441Z [ OK ] LazyOpsTest.TestIndexCopyRank0 (2 ms) 2022-11-23T01:57:22.3535806Z [ RUN ] LazyOpsTest.TestRelu 2022-11-23T01:57:22.3538951Z [ OK ] LazyOpsTest.TestRelu (0 ms) 2022-11-23T01:57:22.3539303Z [ RUN ] LazyOpsTest.TestReluInPlace 2022-11-23T01:57:22.3542827Z [ OK ] LazyOpsTest.TestReluInPlace (0 ms) 2022-11-23T01:57:22.3543235Z [ RUN ] LazyOpsTest.TestHardshrink 2022-11-23T01:57:22.3544236Z [ OK ] LazyOpsTest.TestHardshrink (0 ms) 2022-11-23T01:57:22.3544578Z [ RUN ] LazyOpsTest.TestHardSigmoid 2022-11-23T01:57:22.3547246Z [ OK ] LazyOpsTest.TestHardSigmoid (0 ms) 2022-11-23T01:57:22.3547577Z [ RUN ] LazyOpsTest.TestHardSigmoidInPlace 2022-11-23T01:57:22.3550911Z [ OK ] LazyOpsTest.TestHardSigmoidInPlace (0 ms) 2022-11-23T01:57:22.3551248Z [ RUN ] LazyOpsTest.TestHardSigmoidBackward 2022-11-23T01:57:22.3560303Z [ OK ] LazyOpsTest.TestHardSigmoidBackward (0 ms) 2022-11-23T01:57:22.3560699Z [ RUN ] LazyOpsTest.TestSoftshrink 2022-11-23T01:57:22.3561674Z [ OK ] LazyOpsTest.TestSoftshrink (0 ms) 2022-11-23T01:57:22.3562019Z [ RUN ] LazyOpsTest.TestHardtanh 2022-11-23T01:57:22.3563178Z [ OK ] LazyOpsTest.TestHardtanh (0 ms) 2022-11-23T01:57:22.3563607Z [ RUN ] LazyOpsTest.TestHardtanhInPlace 2022-11-23T01:57:22.3564316Z [ OK ] LazyOpsTest.TestHardtanhInPlace (0 ms) 2022-11-23T01:57:22.3564636Z [ RUN ] LazyOpsTest.TestLeakyRelu 2022-11-23T01:57:22.3567597Z [ OK ] LazyOpsTest.TestLeakyRelu (0 ms) 2022-11-23T01:57:22.3567988Z [ RUN ] LazyOpsTest.TestLeakyReluInPlace 2022-11-23T01:57:22.3571486Z [ OK ] LazyOpsTest.TestLeakyReluInPlace (0 ms) 2022-11-23T01:57:22.3571856Z [ RUN ] LazyOpsTest.TestExp 2022-11-23T01:57:22.3574589Z [ OK ] LazyOpsTest.TestExp (0 ms) 2022-11-23T01:57:22.3574878Z [ RUN ] LazyOpsTest.TestExpm1 2022-11-23T01:57:22.3576219Z [ OK ] LazyOpsTest.TestExpm1 (0 ms) 2022-11-23T01:57:22.3576500Z [ RUN ] LazyOpsTest.TestLog 2022-11-23T01:57:22.3579319Z [ OK ] LazyOpsTest.TestLog (0 ms) 2022-11-23T01:57:22.3579589Z [ RUN ] LazyOpsTest.TestLog2 2022-11-23T01:57:22.3582861Z [ OK ] LazyOpsTest.TestLog2 (0 ms) 2022-11-23T01:57:22.3584491Z [ RUN ] LazyOpsTest.TestLog10 2022-11-23T01:57:22.3584769Z [ OK ] LazyOpsTest.TestLog10 (0 ms) 2022-11-23T01:57:22.3585140Z [ RUN ] LazyOpsTest.TestLog1p 2022-11-23T01:57:22.3586042Z [ OK ] LazyOpsTest.TestLog1p (0 ms) 2022-11-23T01:57:22.3586380Z [ RUN ] LazyOpsTest.TestErf 2022-11-23T01:57:22.3587569Z [ OK ] LazyOpsTest.TestErf (0 ms) 2022-11-23T01:57:22.3587899Z [ RUN ] LazyOpsTest.TestErfc 2022-11-23T01:57:22.3588955Z [ OK ] LazyOpsTest.TestErfc (0 ms) 2022-11-23T01:57:22.3589249Z [ RUN ] LazyOpsTest.TestErfinv 2022-11-23T01:57:22.3590743Z [ OK ] LazyOpsTest.TestErfinv (0 ms) 2022-11-23T01:57:22.3591043Z [ RUN ] LazyOpsTest.TestSqrt 2022-11-23T01:57:22.3593737Z [ OK ] LazyOpsTest.TestSqrt (0 ms) 2022-11-23T01:57:22.3594051Z [ RUN ] LazyOpsTest.TestRsqrt 2022-11-23T01:57:22.3596952Z [ OK ] LazyOpsTest.TestRsqrt (0 ms) 2022-11-23T01:57:22.3597302Z [ RUN ] LazyOpsTest.TestReciprocal 2022-11-23T01:57:22.3600310Z [ OK ] LazyOpsTest.TestReciprocal (0 ms) 2022-11-23T01:57:22.3600683Z [ RUN ] LazyOpsTest.TestPowTensorScalar 2022-11-23T01:57:22.3603451Z [ OK ] LazyOpsTest.TestPowTensorScalar (0 ms) 2022-11-23T01:57:22.3603845Z [ RUN ] LazyOpsTest.TestPowTensorScalarInPlace 2022-11-23T01:57:22.3607469Z [ OK ] LazyOpsTest.TestPowTensorScalarInPlace (0 ms) 2022-11-23T01:57:22.3607829Z [ RUN ] LazyOpsTest.TestPowTensorTensor 2022-11-23T01:57:22.3610714Z [ OK ] LazyOpsTest.TestPowTensorTensor (0 ms) 2022-11-23T01:57:22.3611072Z [ RUN ] LazyOpsTest.TestPowTensorTensorInPlace 2022-11-23T01:57:22.3627438Z [ OK ] LazyOpsTest.TestPowTensorTensorInPlace (1 ms) 2022-11-23T01:57:22.3627834Z [ RUN ] LazyOpsTest.TestPowTensorTensorBroadcast 2022-11-23T01:57:22.3630468Z [ OK ] LazyOpsTest.TestPowTensorTensorBroadcast (0 ms) 2022-11-23T01:57:22.3630843Z [ RUN ] LazyOpsTest.TestPowScalarTensor 2022-11-23T01:57:22.3631655Z [ OK ] LazyOpsTest.TestPowScalarTensor (0 ms) 2022-11-23T01:57:22.3632113Z [ RUN ] LazyOpsTest.TestPowIntExponent 2022-11-23T01:57:22.3634423Z [ OK ] LazyOpsTest.TestPowIntExponent (0 ms) 2022-11-23T01:57:22.3634799Z [ RUN ] LazyOpsTest.TestFmodScalar 2022-11-23T01:57:22.3635756Z [ OK ] LazyOpsTest.TestFmodScalar (0 ms) 2022-11-23T01:57:22.3636148Z [ RUN ] LazyOpsTest.TestFmodScalarInPlace 2022-11-23T01:57:22.3637402Z [ OK ] LazyOpsTest.TestFmodScalarInPlace (0 ms) 2022-11-23T01:57:22.3637946Z [ RUN ] LazyOpsTest.TestFmodTensor 2022-11-23T01:57:22.3638713Z [ OK ] LazyOpsTest.TestFmodTensor (0 ms) 2022-11-23T01:57:22.3639085Z [ RUN ] LazyOpsTest.TestFmodTensorInPlace 2022-11-23T01:57:22.3649610Z [ OK ] LazyOpsTest.TestFmodTensorInPlace (1 ms) 2022-11-23T01:57:22.3649976Z [ RUN ] LazyOpsTest.TestRemainderScalar 2022-11-23T01:57:22.3652922Z [ OK ] LazyOpsTest.TestRemainderScalar (0 ms) 2022-11-23T01:57:22.3653371Z [ RUN ] LazyOpsTest.TestRemainderScalarInPlace 2022-11-23T01:57:22.3657003Z [ OK ] LazyOpsTest.TestRemainderScalarInPlace (0 ms) 2022-11-23T01:57:22.3657394Z [ RUN ] LazyOpsTest.TestRemainderTensor 2022-11-23T01:57:22.3660003Z [ OK ] LazyOpsTest.TestRemainderTensor (0 ms) 2022-11-23T01:57:22.3660422Z [ RUN ] LazyOpsTest.TestRemainderTensorInPlace 2022-11-23T01:57:22.3664245Z [ OK ] LazyOpsTest.TestRemainderTensorInPlace (0 ms) 2022-11-23T01:57:22.3664723Z [ RUN ] LazyOpsTest.TestWhere 2022-11-23T01:57:22.3665165Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator()) 2022-11-23T01:57:22.3666245Z [ OK ] LazyOpsTest.TestWhere (0 ms) 2022-11-23T01:57:22.3666571Z [ RUN ] LazyOpsTest.TestWhereBroadcast 2022-11-23T01:57:22.3668026Z [ OK ] LazyOpsTest.TestWhereBroadcast (0 ms) 2022-11-23T01:57:22.3668349Z [ RUN ] LazyOpsTest.TestThreshold 2022-11-23T01:57:22.3671406Z [ OK ] LazyOpsTest.TestThreshold (0 ms) 2022-11-23T01:57:22.3671764Z [ RUN ] LazyOpsTest.TestThresholdBackward 2022-11-23T01:57:22.3680756Z [ OK ] LazyOpsTest.TestThresholdBackward (0 ms) 2022-11-23T01:57:22.3681126Z [ RUN ] LazyOpsTest.TestThresholdInPlace 2022-11-23T01:57:22.3684446Z [ OK ] LazyOpsTest.TestThresholdInPlace (0 ms) 2022-11-23T01:57:22.3684967Z [ RUN ] LazyOpsTest.TestElu 2022-11-23T01:57:22.3688253Z [ OK ] LazyOpsTest.TestElu (0 ms) 2022-11-23T01:57:22.3688599Z [ RUN ] LazyOpsTest.TestEluInPlace 2022-11-23T01:57:22.3692512Z [ OK ] LazyOpsTest.TestEluInPlace (0 ms) 2022-11-23T01:57:22.3692819Z [ RUN ] LazyOpsTest.TestSelu 2022-11-23T01:57:22.3695581Z [ OK ] LazyOpsTest.TestSelu (0 ms) 2022-11-23T01:57:22.3695902Z [ RUN ] LazyOpsTest.TestSeluInPlace 2022-11-23T01:57:22.3700283Z [ OK ] LazyOpsTest.TestSeluInPlace (0 ms) 2022-11-23T01:57:22.3700767Z [ RUN ] LazyOpsTest.TestCelu 2022-11-23T01:57:22.3701530Z [ OK ] LazyOpsTest.TestCelu (0 ms) 2022-11-23T01:57:22.3702028Z [ RUN ] LazyOpsTest.TestCeluInPlace 2022-11-23T01:57:22.3704242Z [ OK ] LazyOpsTest.TestCeluInPlace (0 ms) 2022-11-23T01:57:22.3704761Z [ RUN ] LazyOpsTest.TestGelu 2022-11-23T01:57:22.3712870Z [ OK ] LazyOpsTest.TestGelu (0 ms) 2022-11-23T01:57:22.3713283Z [ RUN ] LazyOpsTest.TestAddMatMul 2022-11-23T01:57:22.3730759Z [ OK ] LazyOpsTest.TestAddMatMul (1 ms) 2022-11-23T01:57:22.3731282Z [ RUN ] LazyOpsTest.TestEmbedding 2022-11-23T01:57:22.3735613Z [ OK ] LazyOpsTest.TestEmbedding (0 ms) 2022-11-23T01:57:22.3736012Z [ RUN ] LazyOpsTest.TestOneHot 2022-11-23T01:57:22.3742624Z [ OK ] LazyOpsTest.TestOneHot (0 ms) 2022-11-23T01:57:22.3743417Z [ RUN ] LazyOpsTest.TestTranspose 2022-11-23T01:57:22.3745794Z [ OK ] LazyOpsTest.TestTranspose (0 ms) 2022-11-23T01:57:22.3746217Z [ RUN ] LazyOpsTest.TestTransposeInPlace 2022-11-23T01:57:22.3749854Z [ OK ] LazyOpsTest.TestTransposeInPlace (0 ms) 2022-11-23T01:57:22.3750259Z [ RUN ] LazyOpsTest.TestReshape 2022-11-23T01:57:22.3756830Z [ OK ] LazyOpsTest.TestReshape (0 ms) 2022-11-23T01:57:22.3757594Z [ RUN ] LazyOpsTest.TestResize 2022-11-23T01:57:22.3763287Z [ OK ] LazyOpsTest.TestResize (0 ms) 2022-11-23T01:57:22.3763825Z [ RUN ] LazyOpsTest.TestViewResize 2022-11-23T01:57:22.3770480Z [ OK ] LazyOpsTest.TestViewResize (0 ms) 2022-11-23T01:57:22.3770796Z [ RUN ] LazyOpsTest.TestView 2022-11-23T01:57:22.3777171Z [ OK ] LazyOpsTest.TestView (0 ms) 2022-11-23T01:57:22.3777452Z [ RUN ] LazyOpsTest.TestViewMod 2022-11-23T01:57:22.3794065Z [ OK ] LazyOpsTest.TestViewMod (1 ms) 2022-11-23T01:57:22.3794412Z [ RUN ] LazyOpsTest.TestViewModComplex 2022-11-23T01:57:22.3812371Z [ OK ] LazyOpsTest.TestViewModComplex (1 ms) 2022-11-23T01:57:22.3812766Z [ RUN ] LazyOpsTest.TestViewOfViewMod 2022-11-23T01:57:22.3832972Z [ OK ] LazyOpsTest.TestViewOfViewMod (2 ms) 2022-11-23T01:57:22.3833330Z [ RUN ] LazyOpsTest.TestViewSqueezeAddInPlace 2022-11-23T01:57:22.3841300Z [ OK ] LazyOpsTest.TestViewSqueezeAddInPlace (0 ms) 2022-11-23T01:57:22.3841881Z [ RUN ] LazyOpsTest.TestUnsafeView 2022-11-23T01:57:22.3846828Z [ OK ] LazyOpsTest.TestUnsafeView (0 ms) 2022-11-23T01:57:22.3847352Z [ RUN ] LazyOpsTest.TestNarrow 2022-11-23T01:57:22.3863472Z [ OK ] LazyOpsTest.TestNarrow (1 ms) 2022-11-23T01:57:22.3864112Z [ RUN ] LazyOpsTest.TestNarrowUpdate 2022-11-23T01:57:22.3882828Z [ OK ] LazyOpsTest.TestNarrowUpdate (1 ms) 2022-11-23T01:57:22.3883409Z [ RUN ] LazyOpsTest.TestNarrowUpdateBaseCheck 2022-11-23T01:57:22.3905345Z [ OK ] LazyOpsTest.TestNarrowUpdateBaseCheck (2 ms) 2022-11-23T01:57:22.3905956Z [ RUN ] LazyOpsTest.TestNarrowUpdateTwoSlices 2022-11-23T01:57:22.4011890Z [ OK ] LazyOpsTest.TestNarrowUpdateTwoSlices (10 ms) 2022-11-23T01:57:22.4012417Z [ RUN ] LazyOpsTest.TestNarrowUpdateView 2022-11-23T01:57:22.4033194Z [ OK ] LazyOpsTest.TestNarrowUpdateView (2 ms) 2022-11-23T01:57:22.4033790Z [ RUN ] LazyOpsTest.TestNarrowInNarrowUpdate 2022-11-23T01:57:22.4075727Z [ OK ] LazyOpsTest.TestNarrowInNarrowUpdate (4 ms) 2022-11-23T01:57:22.4076316Z [ RUN ] LazyOpsTest.TestNarrowCopy 2022-11-23T01:57:22.4083919Z [ OK ] LazyOpsTest.TestNarrowCopy (0 ms) 2022-11-23T01:57:22.4084475Z [ RUN ] LazyOpsTest.TestViewAs 2022-11-23T01:57:22.4093080Z [ OK ] LazyOpsTest.TestViewAs (0 ms) 2022-11-23T01:57:22.4093391Z [ RUN ] LazyOpsTest.TestLogSoftmax 2022-11-23T01:57:22.4115907Z [ OK ] LazyOpsTest.TestLogSoftmax (2 ms) 2022-11-23T01:57:22.4116306Z [ RUN ] LazyOpsTest.TestLogSoftmaxCast 2022-11-23T01:57:22.4146283Z [ OK ] LazyOpsTest.TestLogSoftmaxCast (3 ms) 2022-11-23T01:57:22.4146916Z [ RUN ] LazyOpsTest.TestLogSoftmaxWrapper 2022-11-23T01:57:22.4169212Z [ OK ] LazyOpsTest.TestLogSoftmaxWrapper (2 ms) 2022-11-23T01:57:22.4169620Z [ RUN ] LazyOpsTest.TestSoftmax 2022-11-23T01:57:22.4190819Z [ OK ] LazyOpsTest.TestSoftmax (2 ms) 2022-11-23T01:57:22.4191303Z [ RUN ] LazyOpsTest.TestSoftmaxCast 2022-11-23T01:57:22.4224345Z [ OK ] LazyOpsTest.TestSoftmaxCast (3 ms) 2022-11-23T01:57:22.4224683Z [ RUN ] LazyOpsTest.TestSoftmaxWrapper 2022-11-23T01:57:22.4249548Z [ OK ] LazyOpsTest.TestSoftmaxWrapper (2 ms) 2022-11-23T01:57:22.4249888Z [ RUN ] LazyOpsTest.TestSoftplus 2022-11-23T01:57:22.4253325Z [ OK ] LazyOpsTest.TestSoftplus (0 ms) 2022-11-23T01:57:22.4253706Z [ RUN ] LazyOpsTest.TestMaxPool1D 2022-11-23T01:57:22.4349795Z [ OK ] LazyOpsTest.TestMaxPool1D (9 ms) 2022-11-23T01:57:22.4350312Z [ RUN ] LazyOpsTest.TestMaxPool2D 2022-11-23T01:57:22.4413460Z [ OK ] LazyOpsTest.TestMaxPool2D (6 ms) 2022-11-23T01:57:22.4413903Z [ RUN ] LazyOpsTest.TestMaxPool2DWithIndices 2022-11-23T01:57:22.4543595Z [ OK ] LazyOpsTest.TestMaxPool2DWithIndices (12 ms) 2022-11-23T01:57:22.4544084Z [ RUN ] LazyOpsTest.TestMaxPool2DNonSquare 2022-11-23T01:57:22.4606256Z [ OK ] LazyOpsTest.TestMaxPool2DNonSquare (6 ms) 2022-11-23T01:57:22.4607145Z [ RUN ] LazyOpsTest.TestMaxPool3D 2022-11-23T01:57:22.4625165Z [ OK ] LazyOpsTest.TestMaxPool3D (1 ms) 2022-11-23T01:57:22.4625685Z [ RUN ] LazyOpsTest.TestMaxPool3DWithIndices 2022-11-23T01:57:22.4653239Z [ OK ] LazyOpsTest.TestMaxPool3DWithIndices (2 ms) 2022-11-23T01:57:22.4653647Z [ RUN ] LazyOpsTest.TestMaxPool3DIncompleteAttributes 2022-11-23T01:57:22.4665680Z [ OK ] LazyOpsTest.TestMaxPool3DIncompleteAttributes (1 ms) 2022-11-23T01:57:22.4666079Z [ RUN ] LazyOpsTest.TestMaxPool3DNonSquare 2022-11-23T01:57:22.4681942Z [ OK ] LazyOpsTest.TestMaxPool3DNonSquare (1 ms) 2022-11-23T01:57:22.4682386Z [ RUN ] LazyOpsTest.TestMaxPool2DNoBatch 2022-11-23T01:57:22.4745604Z [ OK ] LazyOpsTest.TestMaxPool2DNoBatch (6 ms) 2022-11-23T01:57:22.4746082Z [ RUN ] LazyOpsTest.TestMaxPool3DNoBatch 2022-11-23T01:57:22.4764727Z [ OK ] LazyOpsTest.TestMaxPool3DNoBatch (1 ms) 2022-11-23T01:57:22.4765264Z [ RUN ] LazyOpsTest.TestAvgPool1D 2022-11-23T01:57:22.4840836Z [ OK ] LazyOpsTest.TestAvgPool1D (7 ms) 2022-11-23T01:57:22.4841238Z [ RUN ] LazyOpsTest.TestAvgPool2D 2022-11-23T01:57:22.4898100Z [ OK ] LazyOpsTest.TestAvgPool2D (5 ms) 2022-11-23T01:57:22.4898601Z [ RUN ] LazyOpsTest.TestAvgPool2DNonSquare 2022-11-23T01:57:22.4956610Z [ OK ] LazyOpsTest.TestAvgPool2DNonSquare (5 ms) 2022-11-23T01:57:22.4957041Z [ RUN ] LazyOpsTest.TestAvgPool3D 2022-11-23T01:57:22.4970952Z [ OK ] LazyOpsTest.TestAvgPool3D (1 ms) 2022-11-23T01:57:22.4971420Z [ RUN ] LazyOpsTest.TestAvgPool3DIncompleteAttributes 2022-11-23T01:57:22.4981798Z [ OK ] LazyOpsTest.TestAvgPool3DIncompleteAttributes (1 ms) 2022-11-23T01:57:22.4982299Z [ RUN ] LazyOpsTest.TestAvgPool3DNonSquare 2022-11-23T01:57:22.4993207Z [ OK ] LazyOpsTest.TestAvgPool3DNonSquare (1 ms) 2022-11-23T01:57:22.4993654Z [ RUN ] LazyOpsTest.TestAvgPool2DNoBatch 2022-11-23T01:57:22.5045468Z [ OK ] LazyOpsTest.TestAvgPool2DNoBatch (5 ms) 2022-11-23T01:57:22.5045904Z [ RUN ] LazyOpsTest.TestAvgPool3DNoBatch 2022-11-23T01:57:22.5058812Z [ OK ] LazyOpsTest.TestAvgPool3DNoBatch (1 ms) 2022-11-23T01:57:22.5059262Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2D 2022-11-23T01:57:22.5065954Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2D (0 ms) 2022-11-23T01:57:22.5066383Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3D 2022-11-23T01:57:22.5281544Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3D (21 ms) 2022-11-23T01:57:22.5282200Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch 2022-11-23T01:57:22.5296277Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch (1 ms) 2022-11-23T01:57:22.5297085Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch 2022-11-23T01:57:22.5304749Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch (0 ms) 2022-11-23T01:57:22.5305461Z [ RUN ] LazyOpsTest.TestMaxUnpool2D 2022-11-23T01:57:22.5322660Z [ OK ] LazyOpsTest.TestMaxUnpool2D (1 ms) 2022-11-23T01:57:22.5323290Z [ RUN ] LazyOpsTest.TestMaxUnpool3D 2022-11-23T01:57:22.5353067Z [ OK ] LazyOpsTest.TestMaxUnpool3D (3 ms) 2022-11-23T01:57:22.5353583Z [ RUN ] LazyOpsTest.TestNllLoss 2022-11-23T01:57:22.5354018Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:8184: Skipped 2022-11-23T01:57:22.5354307Z 2022-11-23T01:57:22.5354611Z [ SKIPPED ] LazyOpsTest.TestNllLoss (0 ms) 2022-11-23T01:57:22.5355125Z [ RUN ] LazyOpsTest.TestNllLoss2d 2022-11-23T01:57:22.5431701Z [ OK ] LazyOpsTest.TestNllLoss2d (7 ms) 2022-11-23T01:57:22.5432059Z [ RUN ] LazyOpsTest.TestSmoothL1Loss 2022-11-23T01:57:22.5454168Z [ OK ] LazyOpsTest.TestSmoothL1Loss (2 ms) 2022-11-23T01:57:22.5454594Z [ RUN ] LazyOpsTest.TestL1Loss 2022-11-23T01:57:22.5465208Z [ OK ] LazyOpsTest.TestL1Loss (1 ms) 2022-11-23T01:57:22.5465613Z [ RUN ] LazyOpsTest.TestL1LossBackward 2022-11-23T01:57:22.5502006Z [ OK ] LazyOpsTest.TestL1LossBackward (3 ms) 2022-11-23T01:57:22.5502337Z [ RUN ] LazyOpsTest.TestMseLoss 2022-11-23T01:57:22.5505455Z [ OK ] LazyOpsTest.TestMseLoss (0 ms) 2022-11-23T01:57:22.5505794Z [ RUN ] LazyOpsTest.TestMseLossBackward 2022-11-23T01:57:22.5528227Z [ OK ] LazyOpsTest.TestMseLossBackward (2 ms) 2022-11-23T01:57:22.5528653Z [ RUN ] LazyOpsTest.TestBatchNorm1D 2022-11-23T01:57:22.5546530Z [ OK ] LazyOpsTest.TestBatchNorm1D (1 ms) 2022-11-23T01:57:22.5547023Z [ RUN ] LazyOpsTest.TestBatchNorm2D 2022-11-23T01:57:22.5565025Z [ OK ] LazyOpsTest.TestBatchNorm2D (1 ms) 2022-11-23T01:57:22.5565567Z [ RUN ] LazyOpsTest.TestDim 2022-11-23T01:57:22.5565924Z [ OK ] LazyOpsTest.TestDim (0 ms) 2022-11-23T01:57:22.5566382Z [ RUN ] LazyOpsTest.TestContiguous 2022-11-23T01:57:22.5566789Z [ OK ] LazyOpsTest.TestContiguous (0 ms) 2022-11-23T01:57:22.5567170Z [ RUN ] LazyOpsTest.TestSqueezeAll 2022-11-23T01:57:22.5569918Z [ OK ] LazyOpsTest.TestSqueezeAll (0 ms) 2022-11-23T01:57:22.5570483Z [ RUN ] LazyOpsTest.TestSqueezeAllInPlace 2022-11-23T01:57:22.5573374Z [ OK ] LazyOpsTest.TestSqueezeAllInPlace (0 ms) 2022-11-23T01:57:22.5573966Z [ RUN ] LazyOpsTest.TestSqueezeOne 2022-11-23T01:57:22.5596069Z [ OK ] LazyOpsTest.TestSqueezeOne (2 ms) 2022-11-23T01:57:22.5596685Z [ RUN ] LazyOpsTest.TestSqueezeOneInPlace 2022-11-23T01:57:22.5620958Z [ OK ] LazyOpsTest.TestSqueezeOneInPlace (2 ms) 2022-11-23T01:57:22.5621319Z [ RUN ] LazyOpsTest.TestUnsqueeze 2022-11-23T01:57:22.5635448Z [ OK ] LazyOpsTest.TestUnsqueeze (1 ms) 2022-11-23T01:57:22.5635787Z [ RUN ] LazyOpsTest.TestUnsqueezeInPlace 2022-11-23T01:57:22.5653801Z [ OK ] LazyOpsTest.TestUnsqueezeInPlace (1 ms) 2022-11-23T01:57:22.5654156Z [ RUN ] LazyOpsTest.TestMaskedFill 2022-11-23T01:57:22.5657525Z [ OK ] LazyOpsTest.TestMaskedFill (0 ms) 2022-11-23T01:57:22.5657901Z [ RUN ] LazyOpsTest.TestMaskedFillInPlace 2022-11-23T01:57:22.5661018Z [ OK ] LazyOpsTest.TestMaskedFillInPlace (0 ms) 2022-11-23T01:57:22.5661382Z [ RUN ] LazyOpsTest.TestMaskedFillBroadcast 2022-11-23T01:57:22.5664442Z [ OK ] LazyOpsTest.TestMaskedFillBroadcast (0 ms) 2022-11-23T01:57:22.5664760Z [ RUN ] LazyOpsTest.TestFill 2022-11-23T01:57:22.5668596Z [ OK ] LazyOpsTest.TestFill (0 ms) 2022-11-23T01:57:22.5668909Z [ RUN ] LazyOpsTest.TestFillWithRank0 2022-11-23T01:57:22.5670323Z [ OK ] LazyOpsTest.TestFillWithRank0 (0 ms) 2022-11-23T01:57:22.5670865Z [ RUN ] LazyOpsTest.TestPermute 2022-11-23T01:57:22.5701818Z [ OK ] LazyOpsTest.TestPermute (3 ms) 2022-11-23T01:57:22.5702603Z [ RUN ] LazyOpsTest.TestPermuteMod 2022-11-23T01:57:22.5813838Z [ OK ] LazyOpsTest.TestPermuteMod (11 ms) 2022-11-23T01:57:22.5814374Z [ RUN ] LazyOpsTest.TestFlip 2022-11-23T01:57:22.5846315Z [ OK ] LazyOpsTest.TestFlip (3 ms) 2022-11-23T01:57:22.5846871Z [ RUN ] LazyOpsTest.TestPixelShuffle 2022-11-23T01:57:22.5854451Z [ OK ] LazyOpsTest.TestPixelShuffle (0 ms) 2022-11-23T01:57:22.5855130Z [ RUN ] LazyOpsTest.TestSumToSize 2022-11-23T01:57:22.5858904Z [ OK ] LazyOpsTest.TestSumToSize (0 ms) 2022-11-23T01:57:22.5859462Z [ RUN ] LazyOpsTest.TestTransposeDims 2022-11-23T01:57:22.5862449Z [ OK ] LazyOpsTest.TestTransposeDims (0 ms) 2022-11-23T01:57:22.5863033Z [ RUN ] LazyOpsTest.TestTransposeDimsMod 2022-11-23T01:57:22.5873290Z [ OK ] LazyOpsTest.TestTransposeDimsMod (1 ms) 2022-11-23T01:57:22.5873746Z [ RUN ] LazyOpsTest.TestTransposeDimsInPlace 2022-11-23T01:57:22.5877481Z [ OK ] LazyOpsTest.TestTransposeDimsInPlace (0 ms) 2022-11-23T01:57:22.5878060Z [ RUN ] LazyOpsTest.TestSplit 2022-11-23T01:57:22.5901990Z [ OK ] LazyOpsTest.TestSplit (2 ms) 2022-11-23T01:57:22.5902438Z [ RUN ] LazyOpsTest.TestSplitEmpty 2022-11-23T01:57:22.5902769Z [ OK ] LazyOpsTest.TestSplitEmpty (0 ms) 2022-11-23T01:57:22.5903091Z [ RUN ] LazyOpsTest.TestSplitWithSizes 2022-11-23T01:57:22.5916421Z [ OK ] LazyOpsTest.TestSplitWithSizes (1 ms) 2022-11-23T01:57:22.5916849Z [ RUN ] LazyOpsTest.TestCrossImplicitDim 2022-11-23T01:57:22.5919837Z [ OK ] LazyOpsTest.TestCrossImplicitDim (0 ms) 2022-11-23T01:57:22.5920249Z [ RUN ] LazyOpsTest.TestCrossExplicitDim 2022-11-23T01:57:22.5923810Z [ OK ] LazyOpsTest.TestCrossExplicitDim (0 ms) 2022-11-23T01:57:22.5924265Z [ RUN ] LazyOpsTest.TestCrossZeroDim 2022-11-23T01:57:22.5953685Z [ OK ] LazyOpsTest.TestCrossZeroDim (0 ms) 2022-11-23T01:57:22.5953983Z [ RUN ] LazyOpsTest.TestTriu 2022-11-23T01:57:22.5954272Z [ OK ] LazyOpsTest.TestTriu (2 ms) 2022-11-23T01:57:22.5954574Z [ RUN ] LazyOpsTest.TestTriuNonSquare 2022-11-23T01:57:22.5981490Z [ OK ] LazyOpsTest.TestTriuNonSquare (2 ms) 2022-11-23T01:57:22.5981899Z [ RUN ] LazyOpsTest.TestTriuBatch 2022-11-23T01:57:22.6009543Z [ OK ] LazyOpsTest.TestTriuBatch (2 ms) 2022-11-23T01:57:22.6009880Z [ RUN ] LazyOpsTest.TestTril 2022-11-23T01:57:22.6036622Z [ OK ] LazyOpsTest.TestTril (2 ms) 2022-11-23T01:57:22.6036978Z [ RUN ] LazyOpsTest.TestTrilNonSquare 2022-11-23T01:57:22.6064951Z [ OK ] LazyOpsTest.TestTrilNonSquare (2 ms) 2022-11-23T01:57:22.6065333Z [ RUN ] LazyOpsTest.TestTrilBatch 2022-11-23T01:57:22.6093527Z [ OK ] LazyOpsTest.TestTrilBatch (2 ms) 2022-11-23T01:57:22.6093945Z [ RUN ] LazyOpsTest.TestTriuInPlace 2022-11-23T01:57:22.6135097Z [ OK ] LazyOpsTest.TestTriuInPlace (4 ms) 2022-11-23T01:57:22.6135510Z [ RUN ] LazyOpsTest.TestTrilInPlace 2022-11-23T01:57:22.6166957Z [ OK ] LazyOpsTest.TestTrilInPlace (3 ms) 2022-11-23T01:57:22.6167356Z [ RUN ] LazyOpsTest.TestTrace 2022-11-23T01:57:22.6169824Z [ OK ] LazyOpsTest.TestTrace (0 ms) 2022-11-23T01:57:22.6170296Z [ RUN ] LazyOpsTest.TestTraceWide 2022-11-23T01:57:22.6172771Z [ OK ] LazyOpsTest.TestTraceWide (0 ms) 2022-11-23T01:57:22.6173170Z [ RUN ] LazyOpsTest.TestTraceNarrow 2022-11-23T01:57:22.6175669Z [ OK ] LazyOpsTest.TestTraceNarrow (0 ms) 2022-11-23T01:57:22.6176144Z [ RUN ] LazyOpsTest.TestDiagRank1 2022-11-23T01:57:22.6347221Z [ OK ] LazyOpsTest.TestDiagRank1 (17 ms) 2022-11-23T01:57:22.6347736Z [ RUN ] LazyOpsTest.TestDiagRank2 2022-11-23T01:57:22.6385608Z [ OK ] LazyOpsTest.TestDiagRank2 (3 ms) 2022-11-23T01:57:22.6386149Z [ RUN ] LazyOpsTest.TestDiagFlat 2022-11-23T01:57:22.6816390Z [ OK ] LazyOpsTest.TestDiagFlat (42 ms) 2022-11-23T01:57:22.6816797Z [ RUN ] LazyOpsTest.TestDiagonal 2022-11-23T01:57:22.6847794Z [ OK ] LazyOpsTest.TestDiagonal (3 ms) 2022-11-23T01:57:22.6848497Z [ RUN ] LazyOpsTest.TestDiagonalUpdate 2022-11-23T01:57:22.6916537Z [ OK ] LazyOpsTest.TestDiagonalUpdate (6 ms) 2022-11-23T01:57:22.6916909Z [ RUN ] LazyOpsTest.TestDiagonalNonSquare 2022-11-23T01:57:22.6943591Z [ OK ] LazyOpsTest.TestDiagonalNonSquare (2 ms) 2022-11-23T01:57:22.6943936Z [ RUN ] LazyOpsTest.TestDiagonalBatch 2022-11-23T01:57:22.6971928Z [ OK ] LazyOpsTest.TestDiagonalBatch (2 ms) 2022-11-23T01:57:22.6972264Z [ RUN ] LazyOpsTest.TestFlatten 2022-11-23T01:57:22.7037589Z [ OK ] LazyOpsTest.TestFlatten (6 ms) 2022-11-23T01:57:22.7037900Z [ RUN ] LazyOpsTest.TestLogicalAnd 2022-11-23T01:57:22.7056815Z [ OK ] LazyOpsTest.TestLogicalAnd (1 ms) 2022-11-23T01:57:22.7057124Z [ RUN ] LazyOpsTest.TestBitwiseAnd 2022-11-23T01:57:22.7059658Z [ OK ] LazyOpsTest.TestBitwiseAnd (0 ms) 2022-11-23T01:57:22.7059985Z [ RUN ] LazyOpsTest.TestBitwiseAndInPlace 2022-11-23T01:57:22.7062653Z [ OK ] LazyOpsTest.TestBitwiseAndInPlace (0 ms) 2022-11-23T01:57:22.7063046Z [ RUN ] LazyOpsTest.TestBitwiseAndScalar 2022-11-23T01:57:22.7065582Z [ OK ] LazyOpsTest.TestBitwiseAndScalar (0 ms) 2022-11-23T01:57:22.7065996Z [ RUN ] LazyOpsTest.TestBitwiseAndScalarInPlace 2022-11-23T01:57:22.7068682Z [ OK ] LazyOpsTest.TestBitwiseAndScalarInPlace (0 ms) 2022-11-23T01:57:22.7069066Z [ RUN ] LazyOpsTest.TestBitwiseAndPromotion 2022-11-23T01:57:22.7073382Z [ OK ] LazyOpsTest.TestBitwiseAndPromotion (0 ms) 2022-11-23T01:57:22.7073717Z [ RUN ] LazyOpsTest.TestBitwiseOr 2022-11-23T01:57:22.7076589Z [ OK ] LazyOpsTest.TestBitwiseOr (0 ms) 2022-11-23T01:57:22.7076966Z [ RUN ] LazyOpsTest.TestBitwiseOrInPlace 2022-11-23T01:57:22.7080020Z [ OK ] LazyOpsTest.TestBitwiseOrInPlace (0 ms) 2022-11-23T01:57:22.7080360Z [ RUN ] LazyOpsTest.TestBitwiseOrScalar 2022-11-23T01:57:22.7082657Z [ OK ] LazyOpsTest.TestBitwiseOrScalar (0 ms) 2022-11-23T01:57:22.7083065Z [ RUN ] LazyOpsTest.TestBitwiseOrScalarInPlace 2022-11-23T01:57:22.7086049Z [ OK ] LazyOpsTest.TestBitwiseOrScalarInPlace (0 ms) 2022-11-23T01:57:22.7086628Z [ RUN ] LazyOpsTest.TestBitwiseXor 2022-11-23T01:57:22.7087203Z [ OK ] LazyOpsTest.TestBitwiseXor (0 ms) 2022-11-23T01:57:22.7087729Z [ RUN ] LazyOpsTest.TestBitwiseXorInPlace 2022-11-23T01:57:22.7088724Z [ OK ] LazyOpsTest.TestBitwiseXorInPlace (0 ms) 2022-11-23T01:57:22.7089332Z [ RUN ] LazyOpsTest.TestBitwiseXorScalar 2022-11-23T01:57:22.7089891Z [ OK ] LazyOpsTest.TestBitwiseXorScalar (0 ms) 2022-11-23T01:57:22.7090474Z [ RUN ] LazyOpsTest.TestBitwiseXorScalarInPlace 2022-11-23T01:57:22.7091105Z [ OK ] LazyOpsTest.TestBitwiseXorScalarInPlace (0 ms) 2022-11-23T01:57:22.7091629Z [ RUN ] LazyOpsTest.TestLshift 2022-11-23T01:57:22.7092122Z [ OK ] LazyOpsTest.TestLshift (0 ms) 2022-11-23T01:57:22.7092648Z [ RUN ] LazyOpsTest.TestLshiftInPlace 2022-11-23T01:57:22.7094582Z [ OK ] LazyOpsTest.TestLshiftInPlace (0 ms) 2022-11-23T01:57:22.7095082Z [ RUN ] LazyOpsTest.TestLshiftScalar 2022-11-23T01:57:22.7096130Z [ OK ] LazyOpsTest.TestLshiftScalar (0 ms) 2022-11-23T01:57:22.7096704Z [ RUN ] LazyOpsTest.TestLshiftScalarInPlace 2022-11-23T01:57:22.7097978Z [ OK ] LazyOpsTest.TestLshiftScalarInPlace (0 ms) 2022-11-23T01:57:22.7098502Z [ RUN ] LazyOpsTest.TestRshift 2022-11-23T01:57:22.7099556Z [ OK ] LazyOpsTest.TestRshift (0 ms) 2022-11-23T01:57:22.7100056Z [ RUN ] LazyOpsTest.TestRshiftInPlace 2022-11-23T01:57:22.7102695Z [ OK ] LazyOpsTest.TestRshiftInPlace (0 ms) 2022-11-23T01:57:22.7103242Z [ RUN ] LazyOpsTest.TestRshiftScalar 2022-11-23T01:57:22.7103927Z [ OK ] LazyOpsTest.TestRshiftScalar (0 ms) 2022-11-23T01:57:22.7104489Z [ RUN ] LazyOpsTest.TestRshiftScalarInPlace 2022-11-23T01:57:22.7105795Z [ OK ] LazyOpsTest.TestRshiftScalarInPlace (0 ms) 2022-11-23T01:57:22.7106311Z [ RUN ] LazyOpsTest.TestMeshgrid 2022-11-23T01:57:22.7106930Z [W TensorShape.cpp:3433] Warning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (function operator()) 2022-11-23T01:57:22.7117883Z [ OK ] LazyOpsTest.TestMeshgrid (1 ms) 2022-11-23T01:57:22.7118409Z [ RUN ] LazyOpsTest.TestConstantPad 2022-11-23T01:57:22.7123126Z [ OK ] LazyOpsTest.TestConstantPad (0 ms) 2022-11-23T01:57:22.7123823Z [ RUN ] LazyOpsTest.TestConstantPadIncomplete 2022-11-23T01:57:22.7128047Z [ OK ] LazyOpsTest.TestConstantPadIncomplete (0 ms) 2022-11-23T01:57:22.7128666Z [ RUN ] LazyOpsTest.TestReflectionPad2dRank3 2022-11-23T01:57:22.7129623Z [ OK ] LazyOpsTest.TestReflectionPad2dRank3 (0 ms) 2022-11-23T01:57:22.7130207Z [ RUN ] LazyOpsTest.TestReflectionPad2dRank4 2022-11-23T01:57:22.7131161Z [ OK ] LazyOpsTest.TestReflectionPad2dRank4 (0 ms) 2022-11-23T01:57:22.7131655Z [ RUN ] LazyOpsTest.TestReflectionPad2dBackward 2022-11-23T01:57:22.7140526Z [ OK ] LazyOpsTest.TestReflectionPad2dBackward (0 ms) 2022-11-23T01:57:22.7141339Z [ RUN ] LazyOpsTest.TestReplicationPad1d 2022-11-23T01:57:22.7141803Z [ OK ] LazyOpsTest.TestReplicationPad1d (0 ms) 2022-11-23T01:57:22.7142806Z [ RUN ] LazyOpsTest.TestReplicationPad1dZeroPad 2022-11-23T01:57:22.7143308Z [ OK ] LazyOpsTest.TestReplicationPad1dZeroPad (0 ms) 2022-11-23T01:57:22.7143788Z [ RUN ] LazyOpsTest.TestReplicationPad1dBackward 2022-11-23T01:57:22.7149665Z [ OK ] LazyOpsTest.TestReplicationPad1dBackward (0 ms) 2022-11-23T01:57:22.7150522Z [ RUN ] LazyOpsTest.TestReplicationPad2d 2022-11-23T01:57:22.7151075Z [ OK ] LazyOpsTest.TestReplicationPad2d (0 ms) 2022-11-23T01:57:22.7151852Z [ RUN ] LazyOpsTest.TestReplicationPad2dZeroPad 2022-11-23T01:57:22.7152470Z [ OK ] LazyOpsTest.TestReplicationPad2dZeroPad (0 ms) 2022-11-23T01:57:22.7152956Z [ RUN ] LazyOpsTest.TestReplicationPad2dBackward 2022-11-23T01:57:22.7159975Z [ OK ] LazyOpsTest.TestReplicationPad2dBackward (0 ms) 2022-11-23T01:57:22.7160408Z [ RUN ] LazyOpsTest.TestAsStrided 2022-11-23T01:57:22.7170444Z [ OK ] LazyOpsTest.TestAsStrided (1 ms) 2022-11-23T01:57:22.7170851Z [ RUN ] LazyOpsTest.TestAsStridedInPlace 2022-11-23T01:57:22.7184531Z [ OK ] LazyOpsTest.TestAsStridedInPlace (1 ms) 2022-11-23T01:57:22.7184983Z [ RUN ] LazyOpsTest.TestAsStridedWithOffset 2022-11-23T01:57:22.7190548Z [ OK ] LazyOpsTest.TestAsStridedWithOffset (0 ms) 2022-11-23T01:57:22.7191059Z [ RUN ] LazyOpsTest.TestAsStridedWithInplaceCopy 2022-11-23T01:57:22.7198085Z [ OK ] LazyOpsTest.TestAsStridedWithInplaceCopy (0 ms) 2022-11-23T01:57:22.7198622Z [ RUN ] LazyOpsTest.TestEmptyStrided 2022-11-23T01:57:22.7199379Z [ OK ] LazyOpsTest.TestEmptyStrided (0 ms) 2022-11-23T01:57:22.7199802Z [ RUN ] LazyOpsTest.TestAvgPool2DBackward 2022-11-23T01:57:22.7357938Z [ OK ] LazyOpsTest.TestAvgPool2DBackward (15 ms) 2022-11-23T01:57:22.7358399Z [ RUN ] LazyOpsTest.TestAvgPool3DBackward 2022-11-23T01:57:22.7463723Z [ OK ] LazyOpsTest.TestAvgPool3DBackward (10 ms) 2022-11-23T01:57:22.7464665Z [ RUN ] LazyOpsTest.TestAvgPool2DNoBatchBackward 2022-11-23T01:57:22.7654887Z [ OK ] LazyOpsTest.TestAvgPool2DNoBatchBackward (19 ms) 2022-11-23T01:57:22.7655430Z [ RUN ] LazyOpsTest.TestAvgPool3DNoBatchBackward 2022-11-23T01:57:22.7766125Z [ OK ] LazyOpsTest.TestAvgPool3DNoBatchBackward (11 ms) 2022-11-23T01:57:22.7766570Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward 2022-11-23T01:57:22.7804000Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward (3 ms) 2022-11-23T01:57:22.7804558Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3DBackward 2022-11-23T01:57:22.7866004Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3DBackward (6 ms) 2022-11-23T01:57:22.7866628Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2DBackward 2022-11-23T01:57:22.7891656Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2DBackward (2 ms) 2022-11-23T01:57:22.7892189Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward 2022-11-23T01:57:22.7916216Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward (2 ms) 2022-11-23T01:57:22.7916843Z [ RUN ] LazyOpsTest.TestConv2D 2022-11-23T01:57:22.9006437Z [ OK ] LazyOpsTest.TestConv2D (108 ms) 2022-11-23T01:57:22.9006851Z [ RUN ] LazyOpsTest.TestConv2DBackward 2022-11-23T01:57:23.3091327Z [ OK ] LazyOpsTest.TestConv2DBackward (408 ms) 2022-11-23T01:57:23.3091918Z [ RUN ] LazyOpsTest.TestTransposedConv2DBackward 2022-11-23T01:57:23.6071590Z [ OK ] LazyOpsTest.TestTransposedConv2DBackward (297 ms) 2022-11-23T01:57:23.6072499Z [ RUN ] LazyOpsTest.TestConv3DBackward 2022-11-23T01:57:23.8889520Z [ OK ] LazyOpsTest.TestConv3DBackward (281 ms) 2022-11-23T01:57:23.8890348Z [ RUN ] LazyOpsTest.TestTransposedConv3DBackward 2022-11-23T01:57:24.5701347Z [ OK ] LazyOpsTest.TestTransposedConv3DBackward (681 ms) 2022-11-23T01:57:24.5702502Z [ RUN ] LazyOpsTest.TestMaxPool2DBackward 2022-11-23T01:57:24.5802508Z [ OK ] LazyOpsTest.TestMaxPool2DBackward (10 ms) 2022-11-23T01:57:24.5803088Z [ RUN ] LazyOpsTest.TestMaxPool3DBackward 2022-11-23T01:57:24.5856697Z [ OK ] LazyOpsTest.TestMaxPool3DBackward (5 ms) 2022-11-23T01:57:24.5857346Z [ RUN ] LazyOpsTest.TestMaxPool2DNoBatchBackward 2022-11-23T01:57:24.5954201Z [ OK ] LazyOpsTest.TestMaxPool2DNoBatchBackward (9 ms) 2022-11-23T01:57:24.5954778Z [ RUN ] LazyOpsTest.TestMaxPool3DNoBatchBackward 2022-11-23T01:57:24.6006620Z [ OK ] LazyOpsTest.TestMaxPool3DNoBatchBackward (5 ms) 2022-11-23T01:57:24.6007128Z [ RUN ] LazyOpsTest.TestMaxUnpool2DBackward 2022-11-23T01:57:24.6198044Z [ OK ] LazyOpsTest.TestMaxUnpool2DBackward (19 ms) 2022-11-23T01:57:24.6198590Z [ RUN ] LazyOpsTest.TestMaxUnpool3DBackward 2022-11-23T01:57:24.6345486Z [ OK ] LazyOpsTest.TestMaxUnpool3DBackward (14 ms) 2022-11-23T01:57:24.6345949Z [ RUN ] LazyOpsTest.TestTanhBackward 2022-11-23T01:57:24.6355254Z [ OK ] LazyOpsTest.TestTanhBackward (1 ms) 2022-11-23T01:57:24.6355843Z [ RUN ] LazyOpsTest.TestSigmoidBackward 2022-11-23T01:57:24.6364724Z [ OK ] LazyOpsTest.TestSigmoidBackward (0 ms) 2022-11-23T01:57:24.6365463Z [ RUN ] LazyOpsTest.TestLogSigmoidBackward 2022-11-23T01:57:24.6375671Z [ OK ] LazyOpsTest.TestLogSigmoidBackward (1 ms) 2022-11-23T01:57:24.6376279Z [ RUN ] LazyOpsTest.TestLogSoftmaxBackward 2022-11-23T01:57:24.6458670Z [ OK ] LazyOpsTest.TestLogSoftmaxBackward (8 ms) 2022-11-23T01:57:24.6459124Z [ RUN ] LazyOpsTest.TestSoftmaxBackward 2022-11-23T01:57:24.6536475Z [ OK ] LazyOpsTest.TestSoftmaxBackward (7 ms) 2022-11-23T01:57:24.6537187Z [ RUN ] LazyOpsTest.TestSoftplusBackward 2022-11-23T01:57:24.6547102Z [ OK ] LazyOpsTest.TestSoftplusBackward (1 ms) 2022-11-23T01:57:24.6547544Z [ RUN ] LazyOpsTest.TestReluBackward 2022-11-23T01:57:24.6557607Z [ OK ] LazyOpsTest.TestReluBackward (0 ms) 2022-11-23T01:57:24.6558130Z [ RUN ] LazyOpsTest.TestRreluBackward 2022-11-23T01:57:24.6567562Z [ OK ] LazyOpsTest.TestRreluBackward (1 ms) 2022-11-23T01:57:24.6567990Z [ RUN ] LazyOpsTest.TestHardshrinkBackward 2022-11-23T01:57:24.6578702Z [ OK ] LazyOpsTest.TestHardshrinkBackward (1 ms) 2022-11-23T01:57:24.6579076Z [ RUN ] LazyOpsTest.TestSoftshrinkBackward 2022-11-23T01:57:24.6588040Z [ OK ] LazyOpsTest.TestSoftshrinkBackward (0 ms) 2022-11-23T01:57:24.6588389Z [ RUN ] LazyOpsTest.TestHardtanhBackward 2022-11-23T01:57:24.6593647Z [ OK ] LazyOpsTest.TestHardtanhBackward (0 ms) 2022-11-23T01:57:24.6593969Z [ RUN ] LazyOpsTest.TestEluBackward 2022-11-23T01:57:24.6604026Z [ OK ] LazyOpsTest.TestEluBackward (1 ms) 2022-11-23T01:57:24.6604346Z [ RUN ] LazyOpsTest.TestGeluBackward 2022-11-23T01:57:24.6621576Z [ OK ] LazyOpsTest.TestGeluBackward (1 ms) 2022-11-23T01:57:24.6622006Z [ RUN ] LazyOpsTest.TestLeakyReluBackward 2022-11-23T01:57:24.6632194Z [ OK ] LazyOpsTest.TestLeakyReluBackward (1 ms) 2022-11-23T01:57:24.6647640Z [ RUN ] LazyOpsTest.TestTransposeBackward 2022-11-23T01:57:24.6675826Z [ OK ] LazyOpsTest.TestTransposeBackward (0 ms) 2022-11-23T01:57:24.6676429Z [ RUN ] LazyOpsTest.TestAddMatMulBackward 2022-11-23T01:57:24.6712520Z [ OK ] LazyOpsTest.TestAddMatMulBackward (7 ms) 2022-11-23T01:57:24.6713248Z [ RUN ] LazyOpsTest.TestBinaryCrossEntropyBackward 2022-11-23T01:57:24.6777978Z [ OK ] LazyOpsTest.TestBinaryCrossEntropyBackward (6 ms) 2022-11-23T01:57:24.6778628Z [ RUN ] LazyOpsTest.TestNllLossBackward 2022-11-23T01:57:24.6779032Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10965: Skipped 2022-11-23T01:57:24.6779291Z 2022-11-23T01:57:24.6779622Z [ SKIPPED ] LazyOpsTest.TestNllLossBackward (0 ms) 2022-11-23T01:57:24.6780367Z [ RUN ] LazyOpsTest.TestNllLoss2dBackward 2022-11-23T01:57:24.7065915Z [ OK ] LazyOpsTest.TestNllLoss2dBackward (28 ms) 2022-11-23T01:57:24.7066423Z [ RUN ] LazyOpsTest.TestSmoothL1LossBackward 2022-11-23T01:57:24.7129795Z [ OK ] LazyOpsTest.TestSmoothL1LossBackward (6 ms) 2022-11-23T01:57:24.7130158Z [ RUN ] LazyOpsTest.TestViewBackward 2022-11-23T01:57:24.7154544Z [ OK ] LazyOpsTest.TestViewBackward (2 ms) 2022-11-23T01:57:24.7154880Z [ RUN ] LazyOpsTest.TestBatchNorm2DBackward 2022-11-23T01:57:24.7208439Z [ OK ] LazyOpsTest.TestBatchNorm2DBackward (5 ms) 2022-11-23T01:57:24.7208917Z [ RUN ] LazyOpsTest.TestBatchNorm3DBackward 2022-11-23T01:57:24.7259788Z [ OK ] LazyOpsTest.TestBatchNorm3DBackward (5 ms) 2022-11-23T01:57:24.7260268Z [ RUN ] LazyOpsTest.TestBCEWithLogitsBackward 2022-11-23T01:57:24.7624906Z [ OK ] LazyOpsTest.TestBCEWithLogitsBackward (36 ms) 2022-11-23T01:57:24.7625380Z [ RUN ] LazyOpsTest.TestKlDivBackward 2022-11-23T01:57:24.7704796Z [ OK ] LazyOpsTest.TestKlDivBackward (8 ms) 2022-11-23T01:57:24.7705152Z [ RUN ] LazyOpsTest.TestEmbeddingBackward 2022-11-23T01:57:24.8477547Z [ OK ] LazyOpsTest.TestEmbeddingBackward (77 ms) 2022-11-23T01:57:24.8478208Z [ RUN ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale 2022-11-23T01:57:24.8478777Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11362: Skipped 2022-11-23T01:57:24.8478957Z 2022-11-23T01:57:24.8479454Z [ SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale (0 ms) 2022-11-23T01:57:24.8479866Z [ RUN ] LazyOpsTest.TestAmpUpdateScale 2022-11-23T01:57:24.8480318Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11411: Skipped 2022-11-23T01:57:24.8480578Z 2022-11-23T01:57:24.8480911Z [ SKIPPED ] LazyOpsTest.TestAmpUpdateScale (0 ms) 2022-11-23T01:57:24.8481535Z [ RUN ] LazyOpsTest.TestEarlySyncLiveTensors 2022-11-23T01:57:24.8482220Z [ OK ] LazyOpsTest.TestEarlySyncLiveTensors (0 ms) 2022-11-23T01:57:24.8482634Z [ RUN ] LazyOpsTest.TestLerp 2022-11-23T01:57:24.8483046Z [ OK ] LazyOpsTest.TestLerp (0 ms) 2022-11-23T01:57:24.8483443Z [ RUN ] LazyOpsTest.TestLerpScalar 2022-11-23T01:57:24.8483885Z [ OK ] LazyOpsTest.TestLerpScalar (0 ms) 2022-11-23T01:57:24.8484275Z [ RUN ] LazyOpsTest.TestLerpInplace 2022-11-23T01:57:24.8484678Z [ OK ] LazyOpsTest.TestLerpInplace (0 ms) 2022-11-23T01:57:24.8485279Z [ RUN ] LazyOpsTest.TestLerpScalarInplace 2022-11-23T01:57:24.8485770Z [ OK ] LazyOpsTest.TestLerpScalarInplace (0 ms) 2022-11-23T01:57:24.8486122Z [ RUN ] LazyOpsTest.TestLerpOut 2022-11-23T01:57:24.8486570Z [ OK ] LazyOpsTest.TestLerpOut (0 ms) 2022-11-23T01:57:24.8487136Z [ RUN ] LazyOpsTest.TestLerpScalarOut 2022-11-23T01:57:24.8487802Z [ OK ] LazyOpsTest.TestLerpScalarOut (0 ms) 2022-11-23T01:57:24.8488234Z [ RUN ] LazyOpsTest.IsAliasOf 2022-11-23T01:57:24.8488525Z [ OK ] LazyOpsTest.IsAliasOf (0 ms) 2022-11-23T01:57:24.8488854Z [----------] 575 tests from LazyOpsTest (3583 ms total) 2022-11-23T01:57:24.8489009Z 2022-11-23T01:57:24.8489175Z [----------] Global test environment tear-down 2022-11-23T01:57:24.8547199Z [==========] 612 tests from 10 test suites ran. (3598 ms total) 2022-11-23T01:57:24.8547626Z [ PASSED ] 608 tests. 2022-11-23T01:57:24.8548105Z [ SKIPPED ] 4 tests, listed below: 2022-11-23T01:57:24.8548524Z [ SKIPPED ] LazyOpsTest.TestNllLoss 2022-11-23T01:57:24.8548823Z [ SKIPPED ] LazyOpsTest.TestNllLossBackward 2022-11-23T01:57:24.8549219Z [ SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale 2022-11-23T01:57:24.8549595Z [ SKIPPED ] LazyOpsTest.TestAmpUpdateScale 2022-11-23T01:57:24.9461593Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *-tsan* ]] 2022-11-23T01:57:24.9461973Z + python test/cpp/jit/tests_setup.py shutdown 2022-11-23T01:57:26.3742849Z + wait 2022-11-23T01:57:26.3743306Z + OMP_NUM_THREADS=2 2022-11-23T01:57:26.3743616Z + TORCH_CPP_TEST_MNIST_PATH=test/cpp/api/mnist 2022-11-23T01:57:26.3744237Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml 2022-11-23T01:57:26.7684256Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T01:57:26.7692674Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA 2022-11-23T01:57:26.7693070Z [==========] Running 992 tests from 48 test suites. 2022-11-23T01:57:26.7693386Z [----------] Global test environment set-up. 2022-11-23T01:57:26.7693757Z [----------] 9 tests from AutogradAPITests 2022-11-23T01:57:26.7694070Z [ RUN ] AutogradAPITests.BackwardSimpleTest 2022-11-23T01:57:26.7703594Z [ OK ] AutogradAPITests.BackwardSimpleTest (1 ms) 2022-11-23T01:57:26.7704043Z [ RUN ] AutogradAPITests.BackwardTest 2022-11-23T01:57:26.7704745Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator()) 2022-11-23T01:57:26.7706646Z [ OK ] AutogradAPITests.BackwardTest (0 ms) 2022-11-23T01:57:26.7706983Z [ RUN ] AutogradAPITests.GradSimpleTest 2022-11-23T01:57:26.7708616Z [ OK ] AutogradAPITests.GradSimpleTest (0 ms) 2022-11-23T01:57:26.7708940Z [ RUN ] AutogradAPITests.GradTest 2022-11-23T01:57:26.7711738Z [ OK ] AutogradAPITests.GradTest (0 ms) 2022-11-23T01:57:26.7712073Z [ RUN ] AutogradAPITests.GradNonLeafTest 2022-11-23T01:57:26.7714503Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T01:57:26.7716346Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T01:57:26.7717950Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T01:57:26.7719575Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T01:57:26.7720305Z [ OK ] AutogradAPITests.GradNonLeafTest (0 ms) 2022-11-23T01:57:26.7720664Z [ RUN ] AutogradAPITests.GradUnreachableTest 2022-11-23T01:57:26.7783500Z [ OK ] AutogradAPITests.GradUnreachableTest (6 ms) 2022-11-23T01:57:26.7783856Z [ RUN ] AutogradAPITests.EmptyInput 2022-11-23T01:57:26.7811070Z [ OK ] AutogradAPITests.EmptyInput (2 ms) 2022-11-23T01:57:26.7811397Z [ RUN ] AutogradAPITests.RetainGrad 2022-11-23T01:57:26.7814990Z [ OK ] AutogradAPITests.RetainGrad (0 ms) 2022-11-23T01:57:26.7815302Z [ RUN ] AutogradAPITests.AnomalyMode 2022-11-23T01:57:26.7823459Z [W anomaly_mode.cpp:27] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator()) 2022-11-23T01:57:26.9432260Z [ OK ] AutogradAPITests.AnomalyMode (161 ms) 2022-11-23T01:57:26.9432866Z [----------] 9 tests from AutogradAPITests (173 ms total) 2022-11-23T01:57:26.9433293Z 2022-11-23T01:57:26.9433475Z [----------] 33 tests from CustomAutogradTest 2022-11-23T01:57:26.9433856Z [ RUN ] CustomAutogradTest.GradUnreachableDiscoveryTest 2022-11-23T01:57:26.9434281Z [ OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (0 ms) 2022-11-23T01:57:26.9434668Z [ RUN ] CustomAutogradTest.CustomFunction 2022-11-23T01:57:26.9448293Z [ OK ] CustomAutogradTest.CustomFunction (1 ms) 2022-11-23T01:57:26.9449022Z [ RUN ] CustomAutogradTest.CustomFunctionWithTensorList 2022-11-23T01:57:26.9449867Z [ OK ] CustomAutogradTest.CustomFunctionWithTensorList (0 ms) 2022-11-23T01:57:26.9450466Z [ RUN ] CustomAutogradTest.GraphTaskTrimEdges 2022-11-23T01:57:26.9452631Z [ OK ] CustomAutogradTest.GraphTaskTrimEdges (0 ms) 2022-11-23T01:57:26.9453294Z [ RUN ] CustomAutogradTest.FunctionReturnsInput 2022-11-23T01:57:26.9453971Z [ OK ] CustomAutogradTest.FunctionReturnsInput (0 ms) 2022-11-23T01:57:26.9454621Z [ RUN ] CustomAutogradTest.FunctionReturnsUndefined 2022-11-23T01:57:26.9455538Z [ OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms) 2022-11-23T01:57:26.9456169Z [ RUN ] CustomAutogradTest.MaterializeGrads 2022-11-23T01:57:26.9456925Z [ OK ] CustomAutogradTest.MaterializeGrads (0 ms) 2022-11-23T01:57:26.9457586Z [ RUN ] CustomAutogradTest.DontMaterializeGrads 2022-11-23T01:57:26.9458241Z [ OK ] CustomAutogradTest.DontMaterializeGrads (0 ms) 2022-11-23T01:57:26.9458620Z [ RUN ] CustomAutogradTest.NoGradCustomFunction 2022-11-23T01:57:26.9459055Z [ OK ] CustomAutogradTest.NoGradCustomFunction (0 ms) 2022-11-23T01:57:26.9459545Z [ RUN ] CustomAutogradTest.MarkDirty 2022-11-23T01:57:26.9459877Z [ OK ] CustomAutogradTest.MarkDirty (0 ms) 2022-11-23T01:57:26.9460260Z [ RUN ] CustomAutogradTest.MarkNonDifferentiable 2022-11-23T01:57:26.9460685Z [ OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms) 2022-11-23T01:57:26.9461069Z [ RUN ] CustomAutogradTest.MarkNonDifferentiableMixed 2022-11-23T01:57:26.9463115Z [ OK ] CustomAutogradTest.MarkNonDifferentiableMixed (0 ms) 2022-11-23T01:57:26.9463628Z [ RUN ] CustomAutogradTest.MarkNonDifferentiableNone 2022-11-23T01:57:26.9464169Z [ OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms) 2022-11-23T01:57:26.9464583Z [ RUN ] CustomAutogradTest.ReturnLeafInplace 2022-11-23T01:57:26.9465115Z [ OK ] CustomAutogradTest.ReturnLeafInplace (0 ms) 2022-11-23T01:57:26.9465500Z [ RUN ] CustomAutogradTest.ReturnDuplicateInplace 2022-11-23T01:57:26.9500371Z [ OK ] CustomAutogradTest.ReturnDuplicateInplace (3 ms) 2022-11-23T01:57:26.9500859Z [ RUN ] CustomAutogradTest.ReturnDuplicate 2022-11-23T01:57:26.9501361Z [ OK ] CustomAutogradTest.ReturnDuplicate (0 ms) 2022-11-23T01:57:26.9501779Z [ RUN ] CustomAutogradTest.SaveEmptyForBackward 2022-11-23T01:57:26.9502206Z [ OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms) 2022-11-23T01:57:26.9502573Z [ RUN ] CustomAutogradTest.InvalidGradients 2022-11-23T01:57:26.9561577Z [ OK ] CustomAutogradTest.InvalidGradients (5 ms) 2022-11-23T01:57:26.9562200Z [ RUN ] CustomAutogradTest.NoGradInput 2022-11-23T01:57:26.9562724Z [ OK ] CustomAutogradTest.NoGradInput (0 ms) 2022-11-23T01:57:26.9563063Z [ RUN ] CustomAutogradTest.TooManyGrads 2022-11-23T01:57:26.9563461Z [ OK ] CustomAutogradTest.TooManyGrads (0 ms) 2022-11-23T01:57:26.9563772Z [ RUN ] CustomAutogradTest.DepNoGrad 2022-11-23T01:57:26.9564103Z [ OK ] CustomAutogradTest.DepNoGrad (0 ms) 2022-11-23T01:57:26.9564619Z [ RUN ] CustomAutogradTest.Reentrant 2022-11-23T01:57:26.9565301Z [ OK ] CustomAutogradTest.Reentrant (0 ms) 2022-11-23T01:57:26.9565634Z [ RUN ] CustomAutogradTest.DeepReentrant 2022-11-23T01:57:27.3950795Z [ OK ] CustomAutogradTest.DeepReentrant (438 ms) 2022-11-23T01:57:27.3951200Z [ RUN ] CustomAutogradTest.ReentrantPriority 2022-11-23T01:57:27.3956051Z [ OK ] CustomAutogradTest.ReentrantPriority (0 ms) 2022-11-23T01:57:27.3956689Z [ RUN ] CustomAutogradTest.Hooks 2022-11-23T01:57:27.3992735Z [ OK ] CustomAutogradTest.Hooks (3 ms) 2022-11-23T01:57:27.3993091Z [ RUN ] CustomAutogradTest.HooksInplace 2022-11-23T01:57:27.3995148Z [ OK ] CustomAutogradTest.HooksInplace (0 ms) 2022-11-23T01:57:27.3995573Z [ RUN ] CustomAutogradTest.HooksInplaceWithRetainsGrad 2022-11-23T01:57:27.3998554Z [ OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (0 ms) 2022-11-23T01:57:27.3999344Z [ RUN ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad 2022-11-23T01:57:27.4000917Z [ OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (0 ms) 2022-11-23T01:57:27.4001526Z [ RUN ] CustomAutogradTest.HookNone 2022-11-23T01:57:27.4002343Z [ OK ] CustomAutogradTest.HookNone (0 ms) 2022-11-23T01:57:27.4002909Z [ RUN ] CustomAutogradTest.BackwardWithInputs 2022-11-23T01:57:27.4004165Z [ OK ] CustomAutogradTest.BackwardWithInputs (0 ms) 2022-11-23T01:57:27.4005070Z [ RUN ] CustomAutogradTest.BackwardWithEmptyInputs 2022-11-23T01:57:27.4017890Z [ OK ] CustomAutogradTest.BackwardWithEmptyInputs (1 ms) 2022-11-23T01:57:27.4018608Z [ RUN ] CustomAutogradTest.BackwardWithNonLeafInputs 2022-11-23T01:57:27.4019881Z [ OK ] CustomAutogradTest.BackwardWithNonLeafInputs (0 ms) 2022-11-23T01:57:27.4020568Z [ RUN ] CustomAutogradTest.BackwardWithCreateGraphWarns 2022-11-23T01:57:27.4021754Z [ OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms) 2022-11-23T01:57:27.4022325Z [----------] 33 tests from CustomAutogradTest (459 ms total) 2022-11-23T01:57:27.4022549Z 2022-11-23T01:57:27.4022827Z [----------] 13 tests from TestAutogradNotImplementedFallback 2022-11-23T01:57:27.4023366Z [ RUN ] TestAutogradNotImplementedFallback.RetSingleNonTensor 2022-11-23T01:57:27.4026568Z [ OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (0 ms) 2022-11-23T01:57:27.4027372Z [ RUN ] TestAutogradNotImplementedFallback.InplaceOp 2022-11-23T01:57:27.4072445Z [ OK ] TestAutogradNotImplementedFallback.InplaceOp (4 ms) 2022-11-23T01:57:27.4073281Z [ RUN ] TestAutogradNotImplementedFallback.DoubleInplaceOp 2022-11-23T01:57:27.4111025Z [ OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (3 ms) 2022-11-23T01:57:27.4111703Z [ RUN ] TestAutogradNotImplementedFallback.OptOp 2022-11-23T01:57:27.4114720Z [ OK ] TestAutogradNotImplementedFallback.OptOp (0 ms) 2022-11-23T01:57:27.4115515Z [ RUN ] TestAutogradNotImplementedFallback.OutOfPlaceAddition 2022-11-23T01:57:27.4149533Z [ OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (3 ms) 2022-11-23T01:57:27.4150417Z [ RUN ] TestAutogradNotImplementedFallback.RetTupleNonTensor 2022-11-23T01:57:27.4184052Z [ OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (3 ms) 2022-11-23T01:57:27.4184852Z [ RUN ] TestAutogradNotImplementedFallback.ViewOp 2022-11-23T01:57:27.4250015Z [ OK ] TestAutogradNotImplementedFallback.ViewOp (6 ms) 2022-11-23T01:57:27.4250832Z [ RUN ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg 2022-11-23T01:57:27.4284388Z [ OK ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg (3 ms) 2022-11-23T01:57:27.4285518Z [ RUN ] TestAutogradNotImplementedFallback.RetTensorVectorView 2022-11-23T01:57:27.4286359Z [ OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms) 2022-11-23T01:57:27.4287165Z [ RUN ] TestAutogradNotImplementedFallback.DoubleViewOP 2022-11-23T01:57:27.4306607Z [ OK ] TestAutogradNotImplementedFallback.DoubleViewOP (2 ms) 2022-11-23T01:57:27.4307636Z [ RUN ] TestAutogradNotImplementedFallback.NonFirstViewOP 2022-11-23T01:57:27.4337326Z [ OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (3 ms) 2022-11-23T01:57:27.4337794Z [ RUN ] TestAutogradNotImplementedFallback.RetTensorVector 2022-11-23T01:57:27.4370874Z [ OK ] TestAutogradNotImplementedFallback.RetTensorVector (3 ms) 2022-11-23T01:57:27.4371525Z [ RUN ] TestAutogradNotImplementedFallback.TensorlistOp 2022-11-23T01:57:27.4395583Z [ OK ] TestAutogradNotImplementedFallback.TensorlistOp (2 ms) 2022-11-23T01:57:27.4396158Z [----------] 13 tests from TestAutogradNotImplementedFallback (37 ms total) 2022-11-23T01:57:27.4396431Z 2022-11-23T01:57:27.4396724Z [----------] 18 tests from AnyModuleTest 2022-11-23T01:57:27.4397124Z [ RUN ] AnyModuleTest.SimpleReturnType 2022-11-23T01:57:27.4397450Z [ OK ] AnyModuleTest.SimpleReturnType (0 ms) 2022-11-23T01:57:27.4397852Z [ RUN ] AnyModuleTest.SimpleReturnTypeAndSingleArgument 2022-11-23T01:57:27.4398284Z [ OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms) 2022-11-23T01:57:27.4398791Z [ RUN ] AnyModuleTest.StringLiteralReturnTypeAndArgument 2022-11-23T01:57:27.4399217Z [ OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms) 2022-11-23T01:57:27.4399646Z [ RUN ] AnyModuleTest.StringReturnTypeWithConstArgument 2022-11-23T01:57:27.4400080Z [ OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms) 2022-11-23T01:57:27.4400584Z [ RUN ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications 2022-11-23T01:57:27.4401189Z [ OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms) 2022-11-23T01:57:27.4401642Z [ RUN ] AnyModuleTest.WrongArgumentType 2022-11-23T01:57:27.4410365Z [ OK ] AnyModuleTest.WrongArgumentType (1 ms) 2022-11-23T01:57:27.4410714Z [ RUN ] AnyModuleTest.WrongNumberOfArguments 2022-11-23T01:57:27.4446448Z [ OK ] AnyModuleTest.WrongNumberOfArguments (3 ms) 2022-11-23T01:57:27.4446975Z [ RUN ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod 2022-11-23T01:57:27.4531827Z [ OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (8 ms) 2022-11-23T01:57:27.4532327Z [ RUN ] AnyModuleTest.GetWithCorrectTypeSucceeds 2022-11-23T01:57:27.4532722Z [ OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms) 2022-11-23T01:57:27.4533111Z [ RUN ] AnyModuleTest.GetWithIncorrectTypeThrows 2022-11-23T01:57:27.4542284Z [ OK ] AnyModuleTest.GetWithIncorrectTypeThrows (1 ms) 2022-11-23T01:57:27.4542977Z [ RUN ] AnyModuleTest.PtrWithBaseClassSucceeds 2022-11-23T01:57:27.4543376Z [ OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms) 2022-11-23T01:57:27.4543767Z [ RUN ] AnyModuleTest.PtrWithGoodDowncastSuccceeds 2022-11-23T01:57:27.4544154Z [ OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms) 2022-11-23T01:57:27.4544537Z [ RUN ] AnyModuleTest.PtrWithBadDowncastThrows 2022-11-23T01:57:27.4564592Z [ OK ] AnyModuleTest.PtrWithBadDowncastThrows (2 ms) 2022-11-23T01:57:27.4565384Z [ RUN ] AnyModuleTest.DefaultStateIsEmpty 2022-11-23T01:57:27.4566039Z [ OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms) 2022-11-23T01:57:27.4566438Z [ RUN ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule 2022-11-23T01:57:27.4617948Z [ OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (5 ms) 2022-11-23T01:57:27.4618703Z [ RUN ] AnyModuleTest.CanMoveAssignDifferentModules 2022-11-23T01:57:27.4619369Z [ OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms) 2022-11-23T01:57:27.4620239Z [ RUN ] AnyModuleTest.ConstructsFromModuleHolder 2022-11-23T01:57:27.4620871Z [ OK ] AnyModuleTest.ConstructsFromModuleHolder (0 ms) 2022-11-23T01:57:27.4621614Z [ RUN ] AnyModuleTest.ConvertsVariableToTensorCorrectly 2022-11-23T01:57:27.4622425Z [ OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms) 2022-11-23T01:57:27.4623047Z [----------] 18 tests from AnyModuleTest (22 ms total) 2022-11-23T01:57:27.4623203Z 2022-11-23T01:57:27.4623361Z [----------] 12 tests from AnyValueTest 2022-11-23T01:57:27.4623707Z [ RUN ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType 2022-11-23T01:57:27.4624147Z [ OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms) 2022-11-23T01:57:27.4624621Z [ RUN ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType 2022-11-23T01:57:27.4625110Z [ OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms) 2022-11-23T01:57:27.4625586Z [ RUN ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType 2022-11-23T01:57:27.4626038Z [ OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms) 2022-11-23T01:57:27.4626482Z [ RUN ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType 2022-11-23T01:57:27.4626950Z [ OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms) 2022-11-23T01:57:27.4627421Z [ RUN ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType 2022-11-23T01:57:27.4627906Z [ OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms) 2022-11-23T01:57:27.4628344Z [ RUN ] AnyValueTest.TryGetReturnsNullptrForTheWrongType 2022-11-23T01:57:27.4628777Z [ OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms) 2022-11-23T01:57:27.4629173Z [ RUN ] AnyValueTest.GetThrowsForTheWrongType 2022-11-23T01:57:27.4642606Z [ OK ] AnyValueTest.GetThrowsForTheWrongType (2 ms) 2022-11-23T01:57:27.4643334Z [ RUN ] AnyValueTest.MoveConstructionIsAllowed 2022-11-23T01:57:27.4643879Z [ OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms) 2022-11-23T01:57:27.4644249Z [ RUN ] AnyValueTest.MoveAssignmentIsAllowed 2022-11-23T01:57:27.4644598Z [ OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms) 2022-11-23T01:57:27.4645089Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForInt 2022-11-23T01:57:27.4645456Z [ OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms) 2022-11-23T01:57:27.4645833Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForStringLiteral 2022-11-23T01:57:27.4646262Z [ OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms) 2022-11-23T01:57:27.4646660Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForString 2022-11-23T01:57:27.4647040Z [ OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms) 2022-11-23T01:57:27.4647385Z [----------] 12 tests from AnyValueTest (2 ms total) 2022-11-23T01:57:27.4647542Z 2022-11-23T01:57:27.4647684Z [----------] 50 tests from DataTest 2022-11-23T01:57:27.4647988Z [ RUN ] DataTest.DatasetCallsGetCorrectly 2022-11-23T01:57:27.4651514Z [ OK ] DataTest.DatasetCallsGetCorrectly (0 ms) 2022-11-23T01:57:27.4652137Z [ RUN ] DataTest.TransformCallsGetApplyCorrectly 2022-11-23T01:57:27.4659054Z [ OK ] DataTest.TransformCallsGetApplyCorrectly (0 ms) 2022-11-23T01:57:27.4659820Z [ RUN ] DataTest.ChunkDataSetWithInvalidInitParameter 2022-11-23T01:57:27.4730327Z [ OK ] DataTest.ChunkDataSetWithInvalidInitParameter (7 ms) 2022-11-23T01:57:27.4730966Z [ RUN ] DataTest.InfiniteStreamDataset 2022-11-23T01:57:27.4731570Z [ OK ] DataTest.InfiniteStreamDataset (0 ms) 2022-11-23T01:57:27.4732159Z [ RUN ] DataTest.NoSequencerIsIdentity 2022-11-23T01:57:27.4732897Z [ OK ] DataTest.NoSequencerIsIdentity (0 ms) 2022-11-23T01:57:27.4733459Z [ RUN ] DataTest.OrderedSequencerIsSetUpWell 2022-11-23T01:57:27.4733831Z [ OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms) 2022-11-23T01:57:27.4734188Z [ RUN ] DataTest.OrderedSequencerReOrdersValues 2022-11-23T01:57:27.4734569Z [ OK ] DataTest.OrderedSequencerReOrdersValues (0 ms) 2022-11-23T01:57:27.4734955Z [ RUN ] DataTest.BatchLambdaAppliesFunctionToBatch 2022-11-23T01:57:27.4735345Z [ OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms) 2022-11-23T01:57:27.4735731Z [ RUN ] DataTest.LambdaAppliesFunctionToExample 2022-11-23T01:57:27.4736112Z [ OK ] DataTest.LambdaAppliesFunctionToExample (0 ms) 2022-11-23T01:57:27.4736457Z [ RUN ] DataTest.CollateReducesBatch 2022-11-23T01:57:27.4736766Z [ OK ] DataTest.CollateReducesBatch (0 ms) 2022-11-23T01:57:27.4737085Z [ RUN ] DataTest.CollationReducesBatch 2022-11-23T01:57:27.4737410Z [ OK ] DataTest.CollationReducesBatch (0 ms) 2022-11-23T01:57:27.4737792Z [ RUN ] DataTest.SequentialSamplerReturnsIndicesInOrder 2022-11-23T01:57:27.4738221Z [ OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms) 2022-11-23T01:57:27.4738660Z [ RUN ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch 2022-11-23T01:57:27.4739142Z [ OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms) 2022-11-23T01:57:27.4739555Z [ RUN ] DataTest.SequentialSamplerResetsWell 2022-11-23T01:57:27.4739902Z [ OK ] DataTest.SequentialSamplerResetsWell (0 ms) 2022-11-23T01:57:27.4740291Z [ RUN ] DataTest.SequentialSamplerResetsWithNewSizeWell 2022-11-23T01:57:27.4740720Z [ OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T01:57:27.4741116Z [ RUN ] DataTest.CanSaveAndLoadSequentialSampler 2022-11-23T01:57:27.4877541Z [ OK ] DataTest.CanSaveAndLoadSequentialSampler (14 ms) 2022-11-23T01:57:27.4878392Z [ RUN ] DataTest.RandomSamplerReturnsIndicesInCorrectRange 2022-11-23T01:57:27.4878974Z [ OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms) 2022-11-23T01:57:27.4879430Z [ RUN ] DataTest.RandomSamplerReturnsLessValuesForLastBatch 2022-11-23T01:57:27.4879877Z [ OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms) 2022-11-23T01:57:27.4880275Z [ RUN ] DataTest.RandomSamplerResetsWell 2022-11-23T01:57:27.4880619Z [ OK ] DataTest.RandomSamplerResetsWell (0 ms) 2022-11-23T01:57:27.4881126Z [ RUN ] DataTest.RandomSamplerResetsWithNewSizeWell 2022-11-23T01:57:27.4881544Z [ OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T01:57:27.4882250Z [ RUN ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence 2022-11-23T01:57:27.4883126Z [ OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (0 ms) 2022-11-23T01:57:27.4883673Z [ RUN ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder 2022-11-23T01:57:27.4884304Z [ OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms) 2022-11-23T01:57:27.4884991Z [ RUN ] DataTest.StreamSamplerResetsWell 2022-11-23T01:57:27.4885475Z [ OK ] DataTest.StreamSamplerResetsWell (0 ms) 2022-11-23T01:57:27.4886202Z [ RUN ] DataTest.StreamSamplerResetsWithNewSizeWell 2022-11-23T01:57:27.4886883Z [ OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T01:57:27.4887362Z [ RUN ] DataTest.TensorDatasetConstructsFromSingleTensor 2022-11-23T01:57:27.4888096Z [ OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms) 2022-11-23T01:57:27.4888825Z [ RUN ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors 2022-11-23T01:57:27.4889776Z [ OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms) 2022-11-23T01:57:27.4890517Z [ RUN ] DataTest.StackTransformWorksForExample 2022-11-23T01:57:27.4891190Z [ OK ] DataTest.StackTransformWorksForExample (0 ms) 2022-11-23T01:57:27.4891654Z [ RUN ] DataTest.StackTransformWorksForTensorExample 2022-11-23T01:57:27.4892068Z [ OK ] DataTest.StackTransformWorksForTensorExample (0 ms) 2022-11-23T01:57:27.4892466Z [ RUN ] DataTest.TensorTransformWorksForAnyTargetType 2022-11-23T01:57:27.4892881Z [ OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms) 2022-11-23T01:57:27.4893281Z [ RUN ] DataTest.TensorLambdaWorksforAnyTargetType 2022-11-23T01:57:27.4893663Z [ OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms) 2022-11-23T01:57:27.4894010Z [ RUN ] DataTest.NormalizeTransform 2022-11-23T01:57:27.4895245Z [ OK ] DataTest.NormalizeTransform (0 ms) 2022-11-23T01:57:27.4895667Z [ RUN ] DataTest.MapDoesNotCopy 2022-11-23T01:57:27.4895967Z [ OK ] DataTest.MapDoesNotCopy (0 ms) 2022-11-23T01:57:27.4896306Z [ RUN ] DataTest.QueuePushAndPopFromSameThread 2022-11-23T01:57:27.4896682Z [ OK ] DataTest.QueuePushAndPopFromSameThread (0 ms) 2022-11-23T01:57:27.4897065Z [ RUN ] DataTest.QueuePopWithTimeoutThrowsUponTimeout 2022-11-23T01:57:27.5009824Z [ OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (11 ms) 2022-11-23T01:57:27.5010273Z [ RUN ] DataTest.QueuePushAndPopFromDifferentThreads 2022-11-23T01:57:27.5216191Z [ OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms) 2022-11-23T01:57:27.5216574Z [ RUN ] DataTest.QueueClearEmptiesTheQueue 2022-11-23T01:57:27.5238070Z [ OK ] DataTest.QueueClearEmptiesTheQueue (2 ms) 2022-11-23T01:57:27.5238773Z [ RUN ] DataTest.DataShuttleCanPushAndPopJob 2022-11-23T01:57:27.5239289Z [ OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms) 2022-11-23T01:57:27.5239663Z [ RUN ] DataTest.DataShuttleCanPushAndPopResult 2022-11-23T01:57:27.5240044Z [ OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms) 2022-11-23T01:57:27.5240502Z [ RUN ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight 2022-11-23T01:57:27.5241028Z [ OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms) 2022-11-23T01:57:27.5241522Z [ RUN ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt 2022-11-23T01:57:27.5241990Z [ OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms) 2022-11-23T01:57:27.5242383Z [ RUN ] DataTest.DataShuttlePopResultTimesOut 2022-11-23T01:57:27.5350879Z [ OK ] DataTest.DataShuttlePopResultTimesOut (11 ms) 2022-11-23T01:57:27.5351315Z [ RUN ] DataTest.SharedBatchDatasetReallyIsShared 2022-11-23T01:57:27.5367708Z [ OK ] DataTest.SharedBatchDatasetReallyIsShared (1 ms) 2022-11-23T01:57:27.5368486Z [ RUN ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject 2022-11-23T01:57:27.5369069Z [ OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms) 2022-11-23T01:57:27.5369527Z [ RUN ] DataTest.CanUseCustomTypeAsIndexType 2022-11-23T01:57:27.5370057Z [ OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms) 2022-11-23T01:57:27.5370537Z [ RUN ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples 2022-11-23T01:57:27.5383308Z [ OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (1 ms) 2022-11-23T01:57:27.5383920Z [ RUN ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples 2022-11-23T01:57:27.5384478Z [ OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms) 2022-11-23T01:57:27.5385065Z [ RUN ] DataTest.CanSaveAndLoadDistributedRandomSampler 2022-11-23T01:57:27.5389949Z [ OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (0 ms) 2022-11-23T01:57:27.5390565Z [ RUN ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples 2022-11-23T01:57:27.5391164Z [ OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms) 2022-11-23T01:57:27.5391764Z [ RUN ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples 2022-11-23T01:57:27.5392549Z [ OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms) 2022-11-23T01:57:27.5393320Z [ RUN ] DataTest.CanSaveAndLoadDistributedSequentialSampler 2022-11-23T01:57:27.5394150Z [ OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (0 ms) 2022-11-23T01:57:27.5394864Z [----------] 50 tests from DataTest (75 ms total) 2022-11-23T01:57:27.5395130Z 2022-11-23T01:57:27.5395410Z [----------] 37 tests from DataLoaderTest 2022-11-23T01:57:27.5395849Z [ RUN ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected 2022-11-23T01:57:27.5396296Z [ OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms) 2022-11-23T01:57:27.5396753Z [ RUN ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues 2022-11-23T01:57:27.5397236Z [ OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms) 2022-11-23T01:57:27.5397667Z [ RUN ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected 2022-11-23T01:57:27.5398097Z [ OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms) 2022-11-23T01:57:27.5398705Z [ RUN ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset 2022-11-23T01:57:27.5405168Z [ OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (1 ms) 2022-11-23T01:57:27.5405894Z [ RUN ] DataLoaderTest.IteratorsCompareEqualToThemselves 2022-11-23T01:57:27.5406402Z [ OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms) 2022-11-23T01:57:27.5406904Z [ RUN ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther 2022-11-23T01:57:27.5407369Z [ OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms) 2022-11-23T01:57:27.5407847Z [ RUN ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther 2022-11-23T01:57:27.5408329Z [ OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms) 2022-11-23T01:57:27.5408822Z [ RUN ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted 2022-11-23T01:57:27.5409326Z [ OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms) 2022-11-23T01:57:27.5409743Z [ RUN ] DataLoaderTest.IteratorsShareState 2022-11-23T01:57:27.5410096Z [ OK ] DataLoaderTest.IteratorsShareState (0 ms) 2022-11-23T01:57:27.5410478Z [ RUN ] DataLoaderTest.CanDereferenceIteratorMultipleTimes 2022-11-23T01:57:27.5410924Z [ OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms) 2022-11-23T01:57:27.5411331Z [ RUN ] DataLoaderTest.CanUseIteratorAlgorithms 2022-11-23T01:57:27.5411706Z [ OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms) 2022-11-23T01:57:27.5412263Z [ RUN ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows 2022-11-23T01:57:27.5424098Z [ OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (1 ms) 2022-11-23T01:57:27.5424602Z [ RUN ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows 2022-11-23T01:57:27.5435698Z [ OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (1 ms) 2022-11-23T01:57:27.5436177Z [ RUN ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows 2022-11-23T01:57:27.5447580Z [ OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (1 ms) 2022-11-23T01:57:27.5448045Z [ RUN ] DataLoaderTest.IncrementingSentinelIteratorThrows 2022-11-23T01:57:27.5458780Z [ OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (1 ms) 2022-11-23T01:57:27.5459233Z [ RUN ] DataLoaderTest.DereferencingSentinelIteratorThrows 2022-11-23T01:57:27.5470677Z [ OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (1 ms) 2022-11-23T01:57:27.5471450Z [ RUN ] DataLoaderTest.YieldsCorrectBatchSize 2022-11-23T01:57:27.5471852Z [ OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms) 2022-11-23T01:57:27.5472362Z [ RUN ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse 2022-11-23T01:57:27.5472997Z [ OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms) 2022-11-23T01:57:27.5473654Z [ RUN ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue 2022-11-23T01:57:27.5474316Z [ OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms) 2022-11-23T01:57:27.5474799Z [ RUN ] DataLoaderTest.RespectsTimeout 2022-11-23T01:57:27.5587356Z [ OK ] DataLoaderTest.RespectsTimeout (11 ms) 2022-11-23T01:57:27.5587804Z [ RUN ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured 2022-11-23T01:57:27.5615128Z [ OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (2 ms) 2022-11-23T01:57:27.5615865Z [ RUN ] DataLoaderTest.Reset 2022-11-23T01:57:27.5616231Z [ OK ] DataLoaderTest.Reset (0 ms) 2022-11-23T01:57:27.5616608Z [ RUN ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers 2022-11-23T01:57:27.5620142Z [ OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms) 2022-11-23T01:57:27.5620770Z [ RUN ] DataLoaderTest.StatefulDatasetWithNoWorkers 2022-11-23T01:57:27.5621336Z [ OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms) 2022-11-23T01:57:27.5621731Z [ RUN ] DataLoaderTest.StatefulDatasetWithManyWorkers 2022-11-23T01:57:27.5638569Z [ OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms) 2022-11-23T01:57:27.5639120Z [ RUN ] DataLoaderTest.StatefulDatasetWithMap 2022-11-23T01:57:27.5639775Z [ OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms) 2022-11-23T01:57:27.5640342Z [ RUN ] DataLoaderTest.StatefulDatasetWithCollate 2022-11-23T01:57:27.5642223Z [ OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms) 2022-11-23T01:57:27.5642600Z [ RUN ] DataLoaderTest.ChunkDataSetGetBatch 2022-11-23T01:57:27.5748037Z [ OK ] DataLoaderTest.ChunkDataSetGetBatch (10 ms) 2022-11-23T01:57:27.5748477Z [ RUN ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch 2022-11-23T01:57:27.5762466Z [ OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (1 ms) 2022-11-23T01:57:27.5763146Z [ RUN ] DataLoaderTest.ChunkDataSetWithEmptyBatch 2022-11-23T01:57:27.5763694Z [ OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms) 2022-11-23T01:57:27.5764319Z [ RUN ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize 2022-11-23T01:57:27.5765649Z [ OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms) 2022-11-23T01:57:27.5766287Z [ RUN ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet 2022-11-23T01:57:27.5767106Z [ OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms) 2022-11-23T01:57:27.5767589Z [ RUN ] DataLoaderTest.ChunkDatasetDoesNotHang 2022-11-23T01:57:27.5767966Z [ OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms) 2022-11-23T01:57:27.5768381Z [ RUN ] DataLoaderTest.ChunkDatasetSave 2022-11-23T01:57:27.5911420Z [ OK ] DataLoaderTest.ChunkDatasetSave (14 ms) 2022-11-23T01:57:27.5911799Z [ RUN ] DataLoaderTest.ChunkDatasetLoad 2022-11-23T01:57:27.5915550Z [ OK ] DataLoaderTest.ChunkDatasetLoad (0 ms) 2022-11-23T01:57:27.5915965Z [ RUN ] DataLoaderTest.ChunkDatasetCrossChunkShuffle 2022-11-23T01:57:27.5919239Z [ OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (0 ms) 2022-11-23T01:57:27.5919646Z [ RUN ] DataLoaderTest.CustomPreprocessPolicy 2022-11-23T01:57:27.5922839Z [ OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms) 2022-11-23T01:57:27.5923533Z [----------] 37 tests from DataLoaderTest (52 ms total) 2022-11-23T01:57:27.5923761Z 2022-11-23T01:57:27.5923902Z [----------] 1 test from EnumTest 2022-11-23T01:57:27.5924159Z [ RUN ] EnumTest.AllEnums 2022-11-23T01:57:27.5924422Z [ OK ] EnumTest.AllEnums (0 ms) 2022-11-23T01:57:27.5924714Z [----------] 1 test from EnumTest (0 ms total) 2022-11-23T01:57:27.5925054Z 2022-11-23T01:57:27.5925224Z [----------] 6 tests from ExpandingArrayTest 2022-11-23T01:57:27.5925587Z [ RUN ] ExpandingArrayTest.CanConstructFromInitializerList 2022-11-23T01:57:27.5926039Z [ OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms) 2022-11-23T01:57:27.5926453Z [ RUN ] ExpandingArrayTest.CanConstructFromVector 2022-11-23T01:57:27.5926835Z [ OK ] ExpandingArrayTest.CanConstructFromVector (0 ms) 2022-11-23T01:57:27.5927222Z [ RUN ] ExpandingArrayTest.CanConstructFromArray 2022-11-23T01:57:27.5927609Z [ OK ] ExpandingArrayTest.CanConstructFromArray (0 ms) 2022-11-23T01:57:27.5928009Z [ RUN ] ExpandingArrayTest.CanConstructFromSingleValue 2022-11-23T01:57:27.5928416Z [ OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms) 2022-11-23T01:57:27.5929010Z [ RUN ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList 2022-11-23T01:57:27.5946654Z [ OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (2 ms) 2022-11-23T01:57:27.5947537Z [ RUN ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector 2022-11-23T01:57:27.5957362Z [ OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (1 ms) 2022-11-23T01:57:27.5957901Z [----------] 6 tests from ExpandingArrayTest (3 ms total) 2022-11-23T01:57:27.5958072Z 2022-11-23T01:57:27.5958220Z [----------] 10 tests from FFTTest 2022-11-23T01:57:27.5958582Z [ RUN ] FFTTest.fft 2022-11-23T01:57:27.6029625Z [ OK ] FFTTest.fft (7 ms) 2022-11-23T01:57:27.6029941Z [ RUN ] FFTTest.fft_real 2022-11-23T01:57:27.6031834Z [ OK ] FFTTest.fft_real (0 ms) 2022-11-23T01:57:27.6032141Z [ RUN ] FFTTest.fft_pad 2022-11-23T01:57:27.6047511Z [ OK ] FFTTest.fft_pad (1 ms) 2022-11-23T01:57:27.6047801Z [ RUN ] FFTTest.fft_norm 2022-11-23T01:57:27.6049993Z [ OK ] FFTTest.fft_norm (0 ms) 2022-11-23T01:57:27.6050253Z [ RUN ] FFTTest.ifft 2022-11-23T01:57:27.6053888Z [ OK ] FFTTest.ifft (0 ms) 2022-11-23T01:57:27.6054143Z [ RUN ] FFTTest.fft_ifft 2022-11-23T01:57:27.6195470Z [ OK ] FFTTest.fft_ifft (14 ms) 2022-11-23T01:57:27.6195740Z [ RUN ] FFTTest.rfft 2022-11-23T01:57:27.6208704Z [ OK ] FFTTest.rfft (1 ms) 2022-11-23T01:57:27.6208986Z [ RUN ] FFTTest.rfft_irfft 2022-11-23T01:57:27.6210387Z [ OK ] FFTTest.rfft_irfft (0 ms) 2022-11-23T01:57:27.6210644Z [ RUN ] FFTTest.ihfft 2022-11-23T01:57:27.6214400Z [ OK ] FFTTest.ihfft (0 ms) 2022-11-23T01:57:27.6214762Z [ RUN ] FFTTest.hfft_ihfft 2022-11-23T01:57:27.6268011Z [ OK ] FFTTest.hfft_ihfft (5 ms) 2022-11-23T01:57:27.6268397Z [----------] 10 tests from FFTTest (31 ms total) 2022-11-23T01:57:27.6268550Z 2022-11-23T01:57:27.6268693Z [----------] 132 tests from FunctionalTest 2022-11-23T01:57:27.6268974Z [ RUN ] FunctionalTest.Conv1d 2022-11-23T01:57:27.6289324Z [ OK ] FunctionalTest.Conv1d (2 ms) 2022-11-23T01:57:27.6289671Z [ RUN ] FunctionalTest.Conv2dEven 2022-11-23T01:57:27.6295630Z [ OK ] FunctionalTest.Conv2dEven (0 ms) 2022-11-23T01:57:27.6295945Z [ RUN ] FunctionalTest.Conv2dUneven 2022-11-23T01:57:27.6297844Z [ OK ] FunctionalTest.Conv2dUneven (0 ms) 2022-11-23T01:57:27.6298167Z [ RUN ] FunctionalTest.Conv3d 2022-11-23T01:57:27.6302345Z [ OK ] FunctionalTest.Conv3d (0 ms) 2022-11-23T01:57:27.6302659Z [ RUN ] FunctionalTest.MaxPool1d 2022-11-23T01:57:27.6330551Z [ OK ] FunctionalTest.MaxPool1d (2 ms) 2022-11-23T01:57:27.6330922Z [ RUN ] FunctionalTest.MaxPool2d 2022-11-23T01:57:27.6331270Z [ OK ] FunctionalTest.MaxPool2d (0 ms) 2022-11-23T01:57:27.6331724Z [ RUN ] FunctionalTest.MaxPool2dBackward 2022-11-23T01:57:27.6332596Z [ OK ] FunctionalTest.MaxPool2dBackward (0 ms) 2022-11-23T01:57:27.6332992Z [ RUN ] FunctionalTest.MaxPool3d 2022-11-23T01:57:27.6333706Z [ OK ] FunctionalTest.MaxPool3d (0 ms) 2022-11-23T01:57:27.6334205Z [ RUN ] FunctionalTest.AvgPool1d 2022-11-23T01:57:27.6334773Z [ OK ] FunctionalTest.AvgPool1d (0 ms) 2022-11-23T01:57:27.6335234Z [ RUN ] FunctionalTest.AvgPool2d 2022-11-23T01:57:27.6335623Z [ OK ] FunctionalTest.AvgPool2d (0 ms) 2022-11-23T01:57:27.6335938Z [ RUN ] FunctionalTest.AvgPool3d 2022-11-23T01:57:27.6336248Z [ OK ] FunctionalTest.AvgPool3d (0 ms) 2022-11-23T01:57:27.6336559Z [ RUN ] FunctionalTest.FractionalMaxPool2d 2022-11-23T01:57:27.6338865Z [ OK ] FunctionalTest.FractionalMaxPool2d (0 ms) 2022-11-23T01:57:27.6339303Z [ RUN ] FunctionalTest.FractionalMaxPool3d 2022-11-23T01:57:27.6340660Z [ OK ] FunctionalTest.FractionalMaxPool3d (0 ms) 2022-11-23T01:57:27.6340988Z [ RUN ] FunctionalTest.LPPool1d 2022-11-23T01:57:27.6342336Z [ OK ] FunctionalTest.LPPool1d (0 ms) 2022-11-23T01:57:27.6342665Z [ RUN ] FunctionalTest.LPPool2d 2022-11-23T01:57:27.6343282Z [ OK ] FunctionalTest.LPPool2d (0 ms) 2022-11-23T01:57:27.6343667Z [ RUN ] FunctionalTest.CosineSimilarity 2022-11-23T01:57:27.6344647Z [ OK ] FunctionalTest.CosineSimilarity (0 ms) 2022-11-23T01:57:27.6345017Z [ RUN ] FunctionalTest.SmoothL1LossDefaultOptions 2022-11-23T01:57:27.6346883Z [ OK ] FunctionalTest.SmoothL1LossDefaultOptions (0 ms) 2022-11-23T01:57:27.6347244Z [ RUN ] FunctionalTest.SmoothL1LossBeta 2022-11-23T01:57:27.6348730Z [ OK ] FunctionalTest.SmoothL1LossBeta (0 ms) 2022-11-23T01:57:27.6349292Z [ RUN ] FunctionalTest.SmoothL1LossNoReduction 2022-11-23T01:57:27.6349911Z [ OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms) 2022-11-23T01:57:27.6350601Z [ RUN ] FunctionalTest.HuberLossDefaultOptions 2022-11-23T01:57:27.6351364Z [ OK ] FunctionalTest.HuberLossDefaultOptions (0 ms) 2022-11-23T01:57:27.6351768Z [ RUN ] FunctionalTest.HuberLossDelta 2022-11-23T01:57:27.6352754Z [ OK ] FunctionalTest.HuberLossDelta (0 ms) 2022-11-23T01:57:27.6353309Z [ RUN ] FunctionalTest.HuberLossNoReduction 2022-11-23T01:57:27.6353922Z [ OK ] FunctionalTest.HuberLossNoReduction (0 ms) 2022-11-23T01:57:27.6354398Z [ RUN ] FunctionalTest.SoftMarginLossDefaultOptions 2022-11-23T01:57:27.6356336Z [ OK ] FunctionalTest.SoftMarginLossDefaultOptions (0 ms) 2022-11-23T01:57:27.6356777Z [ RUN ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions 2022-11-23T01:57:27.6360475Z [ OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (0 ms) 2022-11-23T01:57:27.6360914Z [ RUN ] FunctionalTest.SoftMarginLossNoReduction 2022-11-23T01:57:27.6362099Z [ OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms) 2022-11-23T01:57:27.6362555Z [ RUN ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction 2022-11-23T01:57:27.6365529Z [ OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms) 2022-11-23T01:57:27.6365966Z [ RUN ] FunctionalTest.PairwiseDistance 2022-11-23T01:57:27.6366957Z [ OK ] FunctionalTest.PairwiseDistance (0 ms) 2022-11-23T01:57:27.6367336Z [ RUN ] FunctionalTest.PDist 2022-11-23T01:57:27.6368832Z [ OK ] FunctionalTest.PDist (0 ms) 2022-11-23T01:57:27.6369314Z [ RUN ] FunctionalTest.AdaptiveMaxPool1d 2022-11-23T01:57:27.6370750Z [ OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms) 2022-11-23T01:57:27.6373670Z [ RUN ] FunctionalTest.AdaptiveMaxPool2d 2022-11-23T01:57:27.6374087Z [ OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms) 2022-11-23T01:57:27.6374569Z [ RUN ] FunctionalTest.AdaptiveMaxPool3d 2022-11-23T01:57:27.6375872Z [ OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms) 2022-11-23T01:57:27.6376393Z [ RUN ] FunctionalTest.AdaptiveAvgPool1d 2022-11-23T01:57:27.6376955Z [ OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms) 2022-11-23T01:57:27.6377509Z [ RUN ] FunctionalTest.AdaptiveAvgPool2d 2022-11-23T01:57:27.6378025Z [ OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms) 2022-11-23T01:57:27.6378589Z [ RUN ] FunctionalTest.AdaptiveAvgPool3d 2022-11-23T01:57:27.6379174Z [ OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms) 2022-11-23T01:57:27.6379566Z [ RUN ] FunctionalTest.L1Loss 2022-11-23T01:57:27.6379906Z [ OK ] FunctionalTest.L1Loss (0 ms) 2022-11-23T01:57:27.6380188Z [ RUN ] FunctionalTest.MSELoss 2022-11-23T01:57:27.6380473Z [ OK ] FunctionalTest.MSELoss (0 ms) 2022-11-23T01:57:27.6380745Z [ RUN ] FunctionalTest.BCELoss 2022-11-23T01:57:27.6381031Z [ OK ] FunctionalTest.BCELoss (0 ms) 2022-11-23T01:57:27.6381321Z [ RUN ] FunctionalTest.KLDivLoss 2022-11-23T01:57:27.6382091Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div) 2022-11-23T01:57:27.6382736Z [ OK ] FunctionalTest.KLDivLoss (0 ms) 2022-11-23T01:57:27.6383055Z [ RUN ] FunctionalTest.HingeEmbeddingLoss 2022-11-23T01:57:27.6383400Z [ OK ] FunctionalTest.HingeEmbeddingLoss (0 ms) 2022-11-23T01:57:27.6383817Z [ RUN ] FunctionalTest.GridSample 2022-11-23T01:57:27.6384430Z [W vision.h:87] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample) 2022-11-23T01:57:27.6384941Z [ OK ] FunctionalTest.GridSample (0 ms) 2022-11-23T01:57:27.6385329Z [ RUN ] FunctionalTest.AffineGrid 2022-11-23T01:57:27.6530152Z [ OK ] FunctionalTest.AffineGrid (14 ms) 2022-11-23T01:57:27.6530654Z [ RUN ] FunctionalTest.MultiMarginLoss 2022-11-23T01:57:27.6531179Z [ OK ] FunctionalTest.MultiMarginLoss (0 ms) 2022-11-23T01:57:27.6531556Z [ RUN ] FunctionalTest.CosineEmbeddingLoss 2022-11-23T01:57:27.6533184Z [ OK ] FunctionalTest.CosineEmbeddingLoss (0 ms) 2022-11-23T01:57:27.6533662Z [ RUN ] FunctionalTest.MultiLabelMarginLossDefaultOptions 2022-11-23T01:57:27.6535311Z [ OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms) 2022-11-23T01:57:27.6535954Z [ RUN ] FunctionalTest.MultiLabelMarginLossNoReduction 2022-11-23T01:57:27.6536813Z [ OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms) 2022-11-23T01:57:27.6537262Z [ RUN ] FunctionalTest.TripletMarginLoss 2022-11-23T01:57:27.6538520Z [ OK ] FunctionalTest.TripletMarginLoss (0 ms) 2022-11-23T01:57:27.6539019Z [ RUN ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity 2022-11-23T01:57:27.6687402Z [ OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (14 ms) 2022-11-23T01:57:27.6687867Z [ RUN ] FunctionalTest.NLLLoss 2022-11-23T01:57:27.6688619Z [ OK ] FunctionalTest.NLLLoss (0 ms) 2022-11-23T01:57:27.6688917Z [ RUN ] FunctionalTest.CrossEntropy 2022-11-23T01:57:27.6692430Z [ OK ] FunctionalTest.CrossEntropy (0 ms) 2022-11-23T01:57:27.6692828Z [ RUN ] FunctionalTest.MaxUnpool1d 2022-11-23T01:57:27.6696168Z [ OK ] FunctionalTest.MaxUnpool1d (0 ms) 2022-11-23T01:57:27.6696550Z [ RUN ] FunctionalTest.MaxUnpool2d 2022-11-23T01:57:27.6698394Z [ OK ] FunctionalTest.MaxUnpool2d (0 ms) 2022-11-23T01:57:27.6698867Z [ RUN ] FunctionalTest.MaxUnpool3d 2022-11-23T01:57:27.6699948Z [ OK ] FunctionalTest.MaxUnpool3d (0 ms) 2022-11-23T01:57:27.6700312Z [ RUN ] FunctionalTest.ELU 2022-11-23T01:57:27.6714129Z [ OK ] FunctionalTest.ELU (1 ms) 2022-11-23T01:57:27.6714427Z [ RUN ] FunctionalTest.SELU 2022-11-23T01:57:27.6717526Z [ OK ] FunctionalTest.SELU (0 ms) 2022-11-23T01:57:27.6717890Z [ RUN ] FunctionalTest.GLU 2022-11-23T01:57:27.6719725Z [ OK ] FunctionalTest.GLU (0 ms) 2022-11-23T01:57:27.6720071Z [ RUN ] FunctionalTest.GELU 2022-11-23T01:57:27.6724050Z [ OK ] FunctionalTest.GELU (0 ms) 2022-11-23T01:57:27.6724450Z [ RUN ] FunctionalTest.TanhGELU 2022-11-23T01:57:27.6725932Z [ OK ] FunctionalTest.TanhGELU (0 ms) 2022-11-23T01:57:27.6726467Z [ RUN ] FunctionalTest.Hardshrink 2022-11-23T01:57:27.6734142Z [ OK ] FunctionalTest.Hardshrink (0 ms) 2022-11-23T01:57:27.6734671Z [ RUN ] FunctionalTest.OneHot 2022-11-23T01:57:27.6737764Z [ OK ] FunctionalTest.OneHot (0 ms) 2022-11-23T01:57:27.6738290Z [ RUN ] FunctionalTest.Hardtanh 2022-11-23T01:57:27.6761685Z [ OK ] FunctionalTest.Hardtanh (2 ms) 2022-11-23T01:57:27.6762205Z [ RUN ] FunctionalTest.LeakyReLU 2022-11-23T01:57:27.6770032Z [ OK ] FunctionalTest.LeakyReLU (0 ms) 2022-11-23T01:57:27.6770551Z [ RUN ] FunctionalTest.LogSigmoid 2022-11-23T01:57:27.6771083Z [ OK ] FunctionalTest.LogSigmoid (0 ms) 2022-11-23T01:57:27.6771617Z [ RUN ] FunctionalTest.GumbelSoftmax 2022-11-23T01:57:27.6800989Z [ OK ] FunctionalTest.GumbelSoftmax (2 ms) 2022-11-23T01:57:27.6801749Z [ RUN ] FunctionalTest.Softmax 2022-11-23T01:57:27.6802304Z [ OK ] FunctionalTest.Softmax (0 ms) 2022-11-23T01:57:27.6802594Z [ RUN ] FunctionalTest.Softmin 2022-11-23T01:57:27.6803981Z [ OK ] FunctionalTest.Softmin (0 ms) 2022-11-23T01:57:27.6804331Z [ RUN ] FunctionalTest.LogSoftmax 2022-11-23T01:57:27.6806591Z [ OK ] FunctionalTest.LogSoftmax (0 ms) 2022-11-23T01:57:27.6807353Z [ RUN ] FunctionalTest.PReLU 2022-11-23T01:57:27.6808041Z [ OK ] FunctionalTest.PReLU (0 ms) 2022-11-23T01:57:27.6808572Z [ RUN ] FunctionalTest.LayerNorm 2022-11-23T01:57:27.6809366Z [ OK ] FunctionalTest.LayerNorm (0 ms) 2022-11-23T01:57:27.6809870Z [ RUN ] FunctionalTest.GroupNorm 2022-11-23T01:57:27.6810708Z [ OK ] FunctionalTest.GroupNorm (0 ms) 2022-11-23T01:57:27.6811260Z [ RUN ] FunctionalTest.LocalResponseNorm 2022-11-23T01:57:27.6813532Z [ OK ] FunctionalTest.LocalResponseNorm (0 ms) 2022-11-23T01:57:27.6814112Z [ RUN ] FunctionalTest.Linear 2022-11-23T01:57:27.6817730Z [ OK ] FunctionalTest.Linear (0 ms) 2022-11-23T01:57:27.6818282Z [ RUN ] FunctionalTest.Embedding 2022-11-23T01:57:27.6818990Z [ OK ] FunctionalTest.Embedding (0 ms) 2022-11-23T01:57:27.6819561Z [ RUN ] FunctionalTest.EmbeddingBag 2022-11-23T01:57:27.6824694Z [ OK ] FunctionalTest.EmbeddingBag (0 ms) 2022-11-23T01:57:27.6825295Z [ RUN ] FunctionalTest.Bilinear 2022-11-23T01:57:27.6828850Z [ OK ] FunctionalTest.Bilinear (0 ms) 2022-11-23T01:57:27.6829514Z [ RUN ] FunctionalTest.Normalize 2022-11-23T01:57:27.6833793Z [ OK ] FunctionalTest.Normalize (0 ms) 2022-11-23T01:57:27.6834098Z [ RUN ] FunctionalTest.ReLU 2022-11-23T01:57:27.6836400Z [ OK ] FunctionalTest.ReLU (0 ms) 2022-11-23T01:57:27.6836952Z [ RUN ] FunctionalTest.ReLUDefaultOptions 2022-11-23T01:57:27.6837442Z [ OK ] FunctionalTest.ReLUDefaultOptions (0 ms) 2022-11-23T01:57:27.6837740Z [ RUN ] FunctionalTest.ReLU6 2022-11-23T01:57:27.6840548Z [ OK ] FunctionalTest.ReLU6 (0 ms) 2022-11-23T01:57:27.6840873Z [ RUN ] FunctionalTest.ReLU6DefaultOptions 2022-11-23T01:57:27.6841605Z [ OK ] FunctionalTest.ReLU6DefaultOptions (0 ms) 2022-11-23T01:57:27.6841900Z [ RUN ] FunctionalTest.RReLU 2022-11-23T01:57:27.6873052Z [ OK ] FunctionalTest.RReLU (3 ms) 2022-11-23T01:57:27.6873608Z [ RUN ] FunctionalTest.RReLUDefaultOptions 2022-11-23T01:57:27.6874828Z [ OK ] FunctionalTest.RReLUDefaultOptions (0 ms) 2022-11-23T01:57:27.6875372Z [ RUN ] FunctionalTest.CELU 2022-11-23T01:57:27.6885764Z [ OK ] FunctionalTest.CELU (1 ms) 2022-11-23T01:57:27.6886360Z [ RUN ] FunctionalTest.CELUDefaultOptions 2022-11-23T01:57:27.6887243Z [ OK ] FunctionalTest.CELUDefaultOptions (0 ms) 2022-11-23T01:57:27.6887836Z [ RUN ] FunctionalTest.PixelShuffle 2022-11-23T01:57:27.6889474Z [ OK ] FunctionalTest.PixelShuffle (0 ms) 2022-11-23T01:57:27.6889825Z [ RUN ] FunctionalTest.PixelUnshuffle 2022-11-23T01:57:27.6890823Z [ OK ] FunctionalTest.PixelUnshuffle (0 ms) 2022-11-23T01:57:27.6891174Z [ RUN ] FunctionalTest.Softplus 2022-11-23T01:57:27.6897978Z [ OK ] FunctionalTest.Softplus (0 ms) 2022-11-23T01:57:27.6898366Z [ RUN ] FunctionalTest.SoftplusDefaultOptions 2022-11-23T01:57:27.6899542Z [ OK ] FunctionalTest.SoftplusDefaultOptions (0 ms) 2022-11-23T01:57:27.6900100Z [ RUN ] FunctionalTest.Fold 2022-11-23T01:57:27.6901003Z [ OK ] FunctionalTest.Fold (0 ms) 2022-11-23T01:57:27.6901659Z [ RUN ] FunctionalTest.Unfold 2022-11-23T01:57:27.6902566Z [ OK ] FunctionalTest.Unfold (0 ms) 2022-11-23T01:57:27.6903103Z [ RUN ] FunctionalTest.Softshrink 2022-11-23T01:57:27.6908476Z [ OK ] FunctionalTest.Softshrink (0 ms) 2022-11-23T01:57:27.6909089Z [ RUN ] FunctionalTest.SoftshrinkDefaultOptions 2022-11-23T01:57:27.6909795Z [ OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms) 2022-11-23T01:57:27.6910229Z [ RUN ] FunctionalTest.Softsign 2022-11-23T01:57:27.6911208Z [ OK ] FunctionalTest.Softsign (0 ms) 2022-11-23T01:57:27.6911675Z [ RUN ] FunctionalTest.Mish 2022-11-23T01:57:27.6912354Z [ OK ] FunctionalTest.Mish (0 ms) 2022-11-23T01:57:27.6912859Z [ RUN ] FunctionalTest.Tanhshrink 2022-11-23T01:57:27.6914375Z [ OK ] FunctionalTest.Tanhshrink (0 ms) 2022-11-23T01:57:27.6914917Z [ RUN ] FunctionalTest.Threshold 2022-11-23T01:57:27.6926504Z [ OK ] FunctionalTest.Threshold (1 ms) 2022-11-23T01:57:27.6927459Z [ RUN ] FunctionalTest.BatchNorm1d 2022-11-23T01:57:27.6928098Z [ OK ] FunctionalTest.BatchNorm1d (0 ms) 2022-11-23T01:57:27.6928768Z [ RUN ] FunctionalTest.BatchNorm1dDefaultOptions 2022-11-23T01:57:27.6929472Z [ OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms) 2022-11-23T01:57:27.6929856Z [ RUN ] FunctionalTest.BatchNorm2d 2022-11-23T01:57:27.6931312Z [ OK ] FunctionalTest.BatchNorm2d (0 ms) 2022-11-23T01:57:27.6931837Z [ RUN ] FunctionalTest.BatchNorm2dDefaultOptions 2022-11-23T01:57:27.6932702Z [ OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms) 2022-11-23T01:57:27.6933383Z [ RUN ] FunctionalTest.BatchNorm3d 2022-11-23T01:57:27.6934209Z [ OK ] FunctionalTest.BatchNorm3d (0 ms) 2022-11-23T01:57:27.6934860Z [ RUN ] FunctionalTest.BatchNorm3dDefaultOptions 2022-11-23T01:57:27.6935587Z [ OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms) 2022-11-23T01:57:27.6936268Z [ RUN ] FunctionalTest.InstanceNorm1d 2022-11-23T01:57:27.6939428Z [ OK ] FunctionalTest.InstanceNorm1d (0 ms) 2022-11-23T01:57:27.6940245Z [ RUN ] FunctionalTest.InstanceNorm1dDefaultOptions 2022-11-23T01:57:27.6941211Z [ OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms) 2022-11-23T01:57:27.6941941Z [ RUN ] FunctionalTest.InstanceNorm2d 2022-11-23T01:57:27.6944839Z [ OK ] FunctionalTest.InstanceNorm2d (0 ms) 2022-11-23T01:57:27.6945534Z [ RUN ] FunctionalTest.InstanceNorm2dDefaultOptions 2022-11-23T01:57:27.6946817Z [ OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms) 2022-11-23T01:57:27.6947522Z [ RUN ] FunctionalTest.InstanceNorm3d 2022-11-23T01:57:27.6951589Z [ OK ] FunctionalTest.InstanceNorm3d (0 ms) 2022-11-23T01:57:27.6952339Z [ RUN ] FunctionalTest.InstanceNorm3dDefaultOptions 2022-11-23T01:57:27.6955459Z [ OK ] FunctionalTest.InstanceNorm3dDefaultOptions (0 ms) 2022-11-23T01:57:27.6956051Z [ RUN ] FunctionalTest.Interpolate 2022-11-23T01:57:27.6957091Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6958956Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6960556Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6962216Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6963863Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6965733Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6967405Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.6969073Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:27.7042340Z [ OK ] FunctionalTest.Interpolate (8 ms) 2022-11-23T01:57:27.7042957Z [ RUN ] FunctionalTest.Pad1 2022-11-23T01:57:27.7043515Z [ OK ] FunctionalTest.Pad1 (0 ms) 2022-11-23T01:57:27.7044024Z [ RUN ] FunctionalTest.Pad2 2022-11-23T01:57:27.7046137Z [ OK ] FunctionalTest.Pad2 (0 ms) 2022-11-23T01:57:27.7046774Z [ RUN ] FunctionalTest.Pad3 2022-11-23T01:57:27.7051882Z [ OK ] FunctionalTest.Pad3 (0 ms) 2022-11-23T01:57:27.7052427Z [ RUN ] FunctionalTest.Pad4 2022-11-23T01:57:27.7054468Z [ OK ] FunctionalTest.Pad4 (0 ms) 2022-11-23T01:57:27.7055012Z [ RUN ] FunctionalTest.Pad5 2022-11-23T01:57:27.7058740Z [ OK ] FunctionalTest.Pad5 (0 ms) 2022-11-23T01:57:27.7059225Z [ RUN ] FunctionalTest.Pad6 2022-11-23T01:57:27.7061528Z [ OK ] FunctionalTest.Pad6 (0 ms) 2022-11-23T01:57:27.7062115Z [ RUN ] FunctionalTest.Pad7 2022-11-23T01:57:27.7062678Z [ OK ] FunctionalTest.Pad7 (0 ms) 2022-11-23T01:57:27.7063217Z [ RUN ] FunctionalTest.Pad8 2022-11-23T01:57:27.7063770Z [ OK ] FunctionalTest.Pad8 (0 ms) 2022-11-23T01:57:27.7064306Z [ RUN ] FunctionalTest.CTCLoss 2022-11-23T01:57:27.7176137Z [ OK ] FunctionalTest.CTCLoss (11 ms) 2022-11-23T01:57:27.7176557Z [ RUN ] FunctionalTest.PoissonNLLLoss 2022-11-23T01:57:27.7177710Z [ OK ] FunctionalTest.PoissonNLLLoss (0 ms) 2022-11-23T01:57:27.7178093Z [ RUN ] FunctionalTest.MarginRankingLoss 2022-11-23T01:57:27.7180897Z [ OK ] FunctionalTest.MarginRankingLoss (0 ms) 2022-11-23T01:57:27.7181237Z [ RUN ] FunctionalTest.ConvTranspose1d 2022-11-23T01:57:27.7183982Z [ OK ] FunctionalTest.ConvTranspose1d (0 ms) 2022-11-23T01:57:27.7184319Z [ RUN ] FunctionalTest.ConvTranspose2dEven 2022-11-23T01:57:27.7187975Z [ OK ] FunctionalTest.ConvTranspose2dEven (0 ms) 2022-11-23T01:57:27.7188333Z [ RUN ] FunctionalTest.ConvTranspose2dUneven 2022-11-23T01:57:27.7192160Z [ OK ] FunctionalTest.ConvTranspose2dUneven (0 ms) 2022-11-23T01:57:27.7192566Z [ RUN ] FunctionalTest.ConvTranspose3d 2022-11-23T01:57:27.7195577Z [ OK ] FunctionalTest.ConvTranspose3d (0 ms) 2022-11-23T01:57:27.7195986Z [ RUN ] FunctionalTest.AlphaDropout 2022-11-23T01:57:27.7205950Z [ OK ] FunctionalTest.AlphaDropout (0 ms) 2022-11-23T01:57:27.7206353Z [ RUN ] FunctionalTest.FeatureAlphaDropout 2022-11-23T01:57:27.7215221Z [ OK ] FunctionalTest.FeatureAlphaDropout (0 ms) 2022-11-23T01:57:27.7215578Z [ RUN ] FunctionalTest.Dropout 2022-11-23T01:57:27.7221480Z [ OK ] FunctionalTest.Dropout (0 ms) 2022-11-23T01:57:27.7221783Z [ RUN ] FunctionalTest.Dropout2d 2022-11-23T01:57:27.7228375Z [ OK ] FunctionalTest.Dropout2d (0 ms) 2022-11-23T01:57:27.7228788Z [ RUN ] FunctionalTest.Dropout3d 2022-11-23T01:57:27.7233846Z [ OK ] FunctionalTest.Dropout3d (0 ms) 2022-11-23T01:57:27.7234192Z [ RUN ] FunctionalTest.isfinite 2022-11-23T01:57:27.7239625Z [ OK ] FunctionalTest.isfinite (0 ms) 2022-11-23T01:57:27.7239980Z [ RUN ] FunctionalTest.isinf 2022-11-23T01:57:27.7243884Z [ OK ] FunctionalTest.isinf (0 ms) 2022-11-23T01:57:27.7244224Z [ RUN ] FunctionalTest.AllClose 2022-11-23T01:57:27.7307093Z [ OK ] FunctionalTest.AllClose (6 ms) 2022-11-23T01:57:27.7307478Z [ RUN ] FunctionalTest.BCEWithLogitsLoss 2022-11-23T01:57:27.7344824Z [ OK ] FunctionalTest.BCEWithLogitsLoss (3 ms) 2022-11-23T01:57:27.7345491Z [----------] 132 tests from FunctionalTest (107 ms total) 2022-11-23T01:57:27.7345713Z 2022-11-23T01:57:27.7345869Z [----------] 1 test from IntegrationTest 2022-11-23T01:57:27.7346156Z [ RUN ] IntegrationTest.CartPole 2022-11-23T01:57:42.4598097Z [ OK ] IntegrationTest.CartPole (14725 ms) 2022-11-23T01:57:42.4598724Z [----------] 1 test from IntegrationTest (14725 ms total) 2022-11-23T01:57:42.4598906Z 2022-11-23T01:57:42.4599062Z [----------] 9 tests from InitTest 2022-11-23T01:57:42.4599381Z [ RUN ] InitTest.ProducesPyTorchValues_XavierUniform 2022-11-23T01:57:42.4614641Z [ OK ] InitTest.ProducesPyTorchValues_XavierUniform (1 ms) 2022-11-23T01:57:42.4615288Z [ RUN ] InitTest.ProducesPyTorchValues_XavierNormal 2022-11-23T01:57:42.4627902Z [ OK ] InitTest.ProducesPyTorchValues_XavierNormal (1 ms) 2022-11-23T01:57:42.4628524Z [ RUN ] InitTest.ProducesPyTorchValues_KaimingNormal 2022-11-23T01:57:42.4641419Z [ OK ] InitTest.ProducesPyTorchValues_KaimingNormal (1 ms) 2022-11-23T01:57:42.4642046Z [ RUN ] InitTest.ProducesPyTorchValues_KaimingUniform 2022-11-23T01:57:42.4653132Z [ OK ] InitTest.ProducesPyTorchValues_KaimingUniform (1 ms) 2022-11-23T01:57:42.4653749Z [ RUN ] InitTest.CanInitializeTensorThatRequiresGrad 2022-11-23T01:57:42.4679885Z [ OK ] InitTest.CanInitializeTensorThatRequiresGrad (2 ms) 2022-11-23T01:57:42.4680426Z [ RUN ] InitTest.CalculateGainWithTanh 2022-11-23T01:57:42.4680764Z [ OK ] InitTest.CalculateGainWithTanh (0 ms) 2022-11-23T01:57:42.4681085Z [ RUN ] InitTest.CalculateGainWithRelu 2022-11-23T01:57:42.4681408Z [ OK ] InitTest.CalculateGainWithRelu (0 ms) 2022-11-23T01:57:42.4681822Z [ RUN ] InitTest.CalculateGainWithLeakyRelu 2022-11-23T01:57:42.4682161Z [ OK ] InitTest.CalculateGainWithLeakyRelu (0 ms) 2022-11-23T01:57:42.4682633Z [ RUN ] InitTest.CanInitializeCnnWithOrthogonal 2022-11-23T01:57:42.4683714Z [ OK ] InitTest.CanInitializeCnnWithOrthogonal (0 ms) 2022-11-23T01:57:42.4684334Z [----------] 9 tests from InitTest (8 ms total) 2022-11-23T01:57:42.4684574Z 2022-11-23T01:57:42.4684733Z [----------] 6 tests from TorchScriptTest 2022-11-23T01:57:42.4685331Z [ RUN ] TorchScriptTest.CanCompileMultipleFunctions 2022-11-23T01:57:42.5069752Z [ OK ] TorchScriptTest.CanCompileMultipleFunctions (38 ms) 2022-11-23T01:57:42.5070183Z [ RUN ] TorchScriptTest.TestNestedIValueModuleArgMatching 2022-11-23T01:57:42.5109129Z [ OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (3 ms) 2022-11-23T01:57:42.5109556Z [ RUN ] TorchScriptTest.TestDictArgMatching 2022-11-23T01:57:42.5111821Z [ OK ] TorchScriptTest.TestDictArgMatching (0 ms) 2022-11-23T01:57:42.5112250Z [ RUN ] TorchScriptTest.TestTupleArgMatching 2022-11-23T01:57:42.5113687Z [ OK ] TorchScriptTest.TestTupleArgMatching (0 ms) 2022-11-23T01:57:42.5114367Z [ RUN ] TorchScriptTest.TestOptionalArgMatching 2022-11-23T01:57:42.5121056Z [ OK ] TorchScriptTest.TestOptionalArgMatching (0 ms) 2022-11-23T01:57:42.5121482Z [ RUN ] TorchScriptTest.TestPickle 2022-11-23T01:57:42.5121949Z [ OK ] TorchScriptTest.TestPickle (0 ms) 2022-11-23T01:57:42.5122405Z [----------] 6 tests from TorchScriptTest (43 ms total) 2022-11-23T01:57:42.5122568Z 2022-11-23T01:57:42.5122720Z [----------] 3 tests from MakeUniqueTest 2022-11-23T01:57:42.5123051Z [ RUN ] MakeUniqueTest.ForwardRvaluesCorrectly 2022-11-23T01:57:42.5123466Z [ OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms) 2022-11-23T01:57:42.5123856Z [ RUN ] MakeUniqueTest.ForwardLvaluesCorrectly 2022-11-23T01:57:42.5124272Z [ OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms) 2022-11-23T01:57:42.5124672Z [ RUN ] MakeUniqueTest.CanConstructUniquePtrOfArray 2022-11-23T01:57:42.5125351Z [ OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms) 2022-11-23T01:57:42.5125786Z [----------] 3 tests from MakeUniqueTest (0 ms total) 2022-11-23T01:57:42.5125943Z 2022-11-23T01:57:42.5126083Z [----------] 2 tests from MetaTensorTest 2022-11-23T01:57:42.5126439Z [ RUN ] MetaTensorTest.MetaDeviceApi 2022-11-23T01:57:42.5126764Z [ OK ] MetaTensorTest.MetaDeviceApi (0 ms) 2022-11-23T01:57:42.5127137Z [ RUN ] MetaTensorTest.MetaNamespaceApi 2022-11-23T01:57:42.5127465Z [ OK ] MetaTensorTest.MetaNamespaceApi (0 ms) 2022-11-23T01:57:42.5127883Z [----------] 2 tests from MetaTensorTest (0 ms total) 2022-11-23T01:57:42.5128041Z 2022-11-23T01:57:42.5128181Z [----------] 2 tests from UtilsTest 2022-11-23T01:57:42.5128428Z [ RUN ] UtilsTest.WarnOnce 2022-11-23T01:57:42.5128755Z [ OK ] UtilsTest.WarnOnce (0 ms) 2022-11-23T01:57:42.5129065Z [ RUN ] UtilsTest.AmbiguousOperatorDefaults 2022-11-23T01:57:42.5129461Z [ OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms) 2022-11-23T01:57:42.5129796Z [----------] 2 tests from UtilsTest (0 ms total) 2022-11-23T01:57:42.5130144Z 2022-11-23T01:57:42.5130297Z [----------] 1 test from NoGradTest 2022-11-23T01:57:42.5130595Z [ RUN ] NoGradTest.SetsGradModeCorrectly 2022-11-23T01:57:42.5155758Z [ OK ] NoGradTest.SetsGradModeCorrectly (3 ms) 2022-11-23T01:57:42.5156381Z [----------] 1 test from NoGradTest (3 ms total) 2022-11-23T01:57:42.5156609Z 2022-11-23T01:57:42.5156811Z [----------] 3 tests from AutogradTest 2022-11-23T01:57:42.5157345Z [ RUN ] AutogradTest.CanTakeDerivatives 2022-11-23T01:57:42.5157770Z [ OK ] AutogradTest.CanTakeDerivatives (0 ms) 2022-11-23T01:57:42.5158238Z [ RUN ] AutogradTest.CanTakeDerivativesOfZeroDimTensors 2022-11-23T01:57:42.5158803Z [ OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms) 2022-11-23T01:57:42.5159403Z [ RUN ] AutogradTest.CanPassCustomGradientInputs 2022-11-23T01:57:42.5160273Z [ OK ] AutogradTest.CanPassCustomGradientInputs (0 ms) 2022-11-23T01:57:42.5160929Z [----------] 3 tests from AutogradTest (0 ms total) 2022-11-23T01:57:42.5161167Z 2022-11-23T01:57:42.5161337Z [----------] 1 test from OptionalArrayRefTest 2022-11-23T01:57:42.5161666Z [ RUN ] OptionalArrayRefTest.DanglingPointerFix 2022-11-23T01:57:42.5162177Z [ OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms) 2022-11-23T01:57:42.5162590Z [----------] 1 test from OptionalArrayRefTest (0 ms total) 2022-11-23T01:57:42.5162760Z 2022-11-23T01:57:42.5162930Z [----------] 52 tests from ModuleTest 2022-11-23T01:57:42.5163377Z [ RUN ] ModuleTest.CanEnableAndDisableTrainingMode 2022-11-23T01:57:42.5163775Z [ OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms) 2022-11-23T01:57:42.5164169Z [ RUN ] ModuleTest.ZeroGrad 2022-11-23T01:57:42.5164441Z [ OK ] ModuleTest.ZeroGrad (0 ms) 2022-11-23T01:57:42.5164893Z [ RUN ] ModuleTest.ZeroGradWithUndefined 2022-11-23T01:57:42.5165236Z [ OK ] ModuleTest.ZeroGradWithUndefined (0 ms) 2022-11-23T01:57:42.5165619Z [ RUN ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName 2022-11-23T01:57:42.5188270Z [ OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (2 ms) 2022-11-23T01:57:42.5188740Z [ RUN ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName 2022-11-23T01:57:42.5210574Z [ OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (2 ms) 2022-11-23T01:57:42.5211026Z [ RUN ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName 2022-11-23T01:57:42.5223480Z [ OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (1 ms) 2022-11-23T01:57:42.5223886Z [ RUN ] ModuleTest.ReplaceModule 2022-11-23T01:57:42.5224197Z [ OK ] ModuleTest.ReplaceModule (0 ms) 2022-11-23T01:57:42.5224490Z [ RUN ] ModuleTest.UnregisterModule 2022-11-23T01:57:42.5240479Z [ OK ] ModuleTest.UnregisterModule (1 ms) 2022-11-23T01:57:42.5240908Z [ RUN ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName 2022-11-23T01:57:42.5272011Z [ OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (3 ms) 2022-11-23T01:57:42.5272506Z [ RUN ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName 2022-11-23T01:57:42.5293959Z [ OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (2 ms) 2022-11-23T01:57:42.5294414Z [ RUN ] ModuleTest.RegisterParameterUndefinedTensor 2022-11-23T01:57:42.5294812Z [ OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms) 2022-11-23T01:57:42.5295239Z [ RUN ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName 2022-11-23T01:57:42.5326112Z [ OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (3 ms) 2022-11-23T01:57:42.5326568Z [ RUN ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName 2022-11-23T01:57:42.5348216Z [ OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (2 ms) 2022-11-23T01:57:42.5348917Z [ RUN ] ModuleTest.CanGetName 2022-11-23T01:57:42.5349430Z [ OK ] ModuleTest.CanGetName (0 ms) 2022-11-23T01:57:42.5349738Z [ RUN ] ModuleTest.AsCastsModulesCorrectly 2022-11-23T01:57:42.5350201Z [ OK ] ModuleTest.AsCastsModulesCorrectly (0 ms) 2022-11-23T01:57:42.5350689Z [ RUN ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor 2022-11-23T01:57:42.5351151Z [ OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (0 ms) 2022-11-23T01:57:42.5351651Z [ RUN ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor 2022-11-23T01:57:42.5352172Z [ OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms) 2022-11-23T01:57:42.5352784Z [ RUN ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows 2022-11-23T01:57:42.5366825Z [ OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (1 ms) 2022-11-23T01:57:42.5367623Z [ RUN ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow 2022-11-23T01:57:42.5368179Z [ OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms) 2022-11-23T01:57:42.5368637Z [ RUN ] ModuleTest.CloneCreatesDistinctParameters 2022-11-23T01:57:42.5373220Z [ OK ] ModuleTest.CloneCreatesDistinctParameters (0 ms) 2022-11-23T01:57:42.5373931Z [ RUN ] ModuleTest.ClonePreservesExternalReferences 2022-11-23T01:57:42.5374697Z [ OK ] ModuleTest.ClonePreservesExternalReferences (0 ms) 2022-11-23T01:57:42.5375482Z [ RUN ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules 2022-11-23T01:57:42.5376512Z [ OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms) 2022-11-23T01:57:42.5377197Z [ RUN ] ModuleTest.HasCorrectNumberOfParameters 2022-11-23T01:57:42.5377775Z [ OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms) 2022-11-23T01:57:42.5378189Z [ RUN ] ModuleTest.ContainsParametersWithTheCorrectName 2022-11-23T01:57:42.5378687Z [ OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms) 2022-11-23T01:57:42.5379076Z [ RUN ] ModuleTest.HasCorrectNumberOfBuffers 2022-11-23T01:57:42.5379453Z [ OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms) 2022-11-23T01:57:42.5379824Z [ RUN ] ModuleTest.ContainsBuffersWithTheCorrectName 2022-11-23T01:57:42.5380231Z [ OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms) 2022-11-23T01:57:42.5380750Z [ RUN ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl 2022-11-23T01:57:42.5381360Z [ OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms) 2022-11-23T01:57:42.5381949Z [ RUN ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl 2022-11-23T01:57:42.5382547Z [ OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms) 2022-11-23T01:57:42.5383104Z [ RUN ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState 2022-11-23T01:57:42.5389650Z [ OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (1 ms) 2022-11-23T01:57:42.5390312Z [ RUN ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel 2022-11-23T01:57:42.5390806Z [ OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms) 2022-11-23T01:57:42.5391352Z [ RUN ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse 2022-11-23T01:57:42.5393837Z [ OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms) 2022-11-23T01:57:42.5394830Z [ RUN ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel 2022-11-23T01:57:42.5396001Z [ OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms) 2022-11-23T01:57:42.5397003Z [ RUN ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse 2022-11-23T01:57:42.5397946Z [ OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms) 2022-11-23T01:57:42.5398932Z [ RUN ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel 2022-11-23T01:57:42.5399961Z [ OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms) 2022-11-23T01:57:42.5400923Z [ RUN ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel 2022-11-23T01:57:42.5401950Z [ OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms) 2022-11-23T01:57:42.5402904Z [ RUN ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel 2022-11-23T01:57:42.5403791Z [ OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T01:57:42.5404692Z [ RUN ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel 2022-11-23T01:57:42.5405871Z [ OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T01:57:42.5406751Z [ RUN ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel 2022-11-23T01:57:42.5407584Z [ OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T01:57:42.5408448Z [ RUN ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel 2022-11-23T01:57:42.5409351Z [ OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T01:57:42.5410236Z [ RUN ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel 2022-11-23T01:57:42.5411104Z [ OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms) 2022-11-23T01:57:42.5412054Z [ RUN ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel 2022-11-23T01:57:42.5413079Z [ OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms) 2022-11-23T01:57:42.5414025Z [ RUN ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel 2022-11-23T01:57:42.5414922Z [ OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms) 2022-11-23T01:57:42.5415895Z [ RUN ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel 2022-11-23T01:57:42.5416985Z [ OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms) 2022-11-23T01:57:42.5417832Z [ RUN ] ModuleTest.ModuleApplyIteratesCorreclty 2022-11-23T01:57:42.5418512Z [ OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms) 2022-11-23T01:57:42.5419224Z [ RUN ] ModuleTest.ConstModuleApplyIteratesCorreclty 2022-11-23T01:57:42.5419971Z [ OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms) 2022-11-23T01:57:42.5420693Z [ RUN ] ModuleTest.NamedModuleApplyIteratesCorreclty 2022-11-23T01:57:42.5421431Z [ OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms) 2022-11-23T01:57:42.5422206Z [ RUN ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty 2022-11-23T01:57:42.5422993Z [ OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms) 2022-11-23T01:57:42.5423772Z [ RUN ] ModuleTest.ModulePointerApplyIteratesCorreclty 2022-11-23T01:57:42.5424551Z [ OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms) 2022-11-23T01:57:42.5425343Z [ RUN ] ModuleTest.NamedModulePointerApplyIteratesCorreclty 2022-11-23T01:57:42.5426167Z [ OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms) 2022-11-23T01:57:42.5427068Z [ RUN ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr 2022-11-23T01:57:42.5433243Z [ OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (3 ms) 2022-11-23T01:57:42.5433994Z [ RUN ] ModuleTest.PrettyPrint 2022-11-23T01:57:42.5434540Z [ OK ] ModuleTest.PrettyPrint (0 ms) 2022-11-23T01:57:42.5435261Z [ RUN ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl 2022-11-23T01:57:42.5436153Z [ OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms) 2022-11-23T01:57:42.5436862Z [----------] 52 tests from ModuleTest (27 ms total) 2022-11-23T01:57:42.5437232Z 2022-11-23T01:57:42.5437498Z [----------] 11 tests from ModuleDictTest 2022-11-23T01:57:42.5438048Z [ RUN ] ModuleDictTest.ConstructsFromList 2022-11-23T01:57:42.5438736Z [ OK ] ModuleDictTest.ConstructsFromList (0 ms) 2022-11-23T01:57:42.5439388Z [ RUN ] ModuleDictTest.ConstructsFromordereddict 2022-11-23T01:57:42.5440083Z [ OK ] ModuleDictTest.ConstructsFromordereddict (0 ms) 2022-11-23T01:57:42.5440756Z [ RUN ] ModuleDictTest.UpdatePopClearContains 2022-11-23T01:57:42.5448879Z [ OK ] ModuleDictTest.UpdatePopClearContains (1 ms) 2022-11-23T01:57:42.5449513Z [ RUN ] ModuleDictTest.UpdateExist 2022-11-23T01:57:42.5450073Z [ OK ] ModuleDictTest.UpdateExist (0 ms) 2022-11-23T01:57:42.5450569Z [ RUN ] ModuleDictTest.Keys 2022-11-23T01:57:42.5462229Z [ OK ] ModuleDictTest.Keys (1 ms) 2022-11-23T01:57:42.5462719Z [ RUN ] ModuleDictTest.Values 2022-11-23T01:57:42.5463207Z [ OK ] ModuleDictTest.Values (0 ms) 2022-11-23T01:57:42.5463782Z [ RUN ] ModuleDictTest.SanityCheckForHoldingStandardModules 2022-11-23T01:57:42.5464515Z [ OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (0 ms) 2022-11-23T01:57:42.5465146Z [ RUN ] ModuleDictTest.HasReferenceSemantics 2022-11-23T01:57:42.5465758Z [ OK ] ModuleDictTest.HasReferenceSemantics (0 ms) 2022-11-23T01:57:42.5466328Z [ RUN ] ModuleDictTest.IsCloneable 2022-11-23T01:57:42.5469689Z [ OK ] ModuleDictTest.IsCloneable (0 ms) 2022-11-23T01:57:42.5470336Z [ RUN ] ModuleDictTest.RegistersElementsAsSubmodules 2022-11-23T01:57:42.5470985Z [ OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms) 2022-11-23T01:57:42.5471599Z [ RUN ] ModuleDictTest.PrettyPrintModuleDict 2022-11-23T01:57:42.5472366Z [ OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms) 2022-11-23T01:57:42.5472974Z [----------] 11 tests from ModuleDictTest (3 ms total) 2022-11-23T01:57:42.5473241Z 2022-11-23T01:57:42.5473508Z [----------] 15 tests from ModuleListTest 2022-11-23T01:57:42.5474143Z [ RUN ] ModuleListTest.ConstructsFromSharedPointer 2022-11-23T01:57:42.5474865Z [ OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms) 2022-11-23T01:57:42.5475564Z [ RUN ] ModuleListTest.ConstructsFromConcreteType 2022-11-23T01:57:42.5476267Z [ OK ] ModuleListTest.ConstructsFromConcreteType (0 ms) 2022-11-23T01:57:42.5476960Z [ RUN ] ModuleListTest.ConstructsFromModuleHolder 2022-11-23T01:57:42.5477658Z [ OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms) 2022-11-23T01:57:42.5478307Z [ RUN ] ModuleListTest.PushBackAddsAnElement 2022-11-23T01:57:42.5479048Z [ OK ] ModuleListTest.PushBackAddsAnElement (0 ms) 2022-11-23T01:57:42.5479628Z [ RUN ] ModuleListTest.Insertion 2022-11-23T01:57:42.5480142Z [ OK ] ModuleListTest.Insertion (0 ms) 2022-11-23T01:57:42.5480673Z [ RUN ] ModuleListTest.AccessWithAt 2022-11-23T01:57:42.5499785Z [ OK ] ModuleListTest.AccessWithAt (2 ms) 2022-11-23T01:57:42.5500353Z [ RUN ] ModuleListTest.AccessWithPtr 2022-11-23T01:57:42.5522957Z [ OK ] ModuleListTest.AccessWithPtr (2 ms) 2022-11-23T01:57:42.5523894Z [ RUN ] ModuleListTest.SanityCheckForHoldingStandardModules 2022-11-23T01:57:42.5524985Z [ OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms) 2022-11-23T01:57:42.5525839Z [ RUN ] ModuleListTest.ExtendPushesModulesFromOtherModuleList 2022-11-23T01:57:42.5526802Z [ OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms) 2022-11-23T01:57:42.5527627Z [ RUN ] ModuleListTest.HasReferenceSemantics 2022-11-23T01:57:42.5528497Z [ OK ] ModuleListTest.HasReferenceSemantics (0 ms) 2022-11-23T01:57:42.5529164Z [ RUN ] ModuleListTest.IsCloneable 2022-11-23T01:57:42.5530821Z [ OK ] ModuleListTest.IsCloneable (0 ms) 2022-11-23T01:57:42.5531233Z [ RUN ] ModuleListTest.RegistersElementsAsSubmodules 2022-11-23T01:57:42.5531713Z [ OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms) 2022-11-23T01:57:42.5532093Z [ RUN ] ModuleListTest.NestingIsPossible 2022-11-23T01:57:42.5532449Z [ OK ] ModuleListTest.NestingIsPossible (0 ms) 2022-11-23T01:57:42.5532980Z [ RUN ] ModuleListTest.PrettyPrintModuleList 2022-11-23T01:57:42.5533691Z [ OK ] ModuleListTest.PrettyPrintModuleList (0 ms) 2022-11-23T01:57:42.5534300Z [ RUN ] ModuleListTest.RangeBasedForLoop 2022-11-23T01:57:42.5534812Z [ OK ] ModuleListTest.RangeBasedForLoop (0 ms) 2022-11-23T01:57:42.5535161Z [----------] 15 tests from ModuleListTest (6 ms total) 2022-11-23T01:57:42.5535319Z 2022-11-23T01:57:42.5535476Z [----------] 256 tests from ModulesTest 2022-11-23T01:57:42.5535727Z [ RUN ] ModulesTest.Conv1d 2022-11-23T01:57:42.5555258Z [ OK ] ModulesTest.Conv1d (2 ms) 2022-11-23T01:57:42.5555812Z [ RUN ] ModulesTest.Conv1dSameStrided 2022-11-23T01:57:42.5600548Z [ OK ] ModulesTest.Conv1dSameStrided (4 ms) 2022-11-23T01:57:42.5600899Z [ RUN ] ModulesTest.Conv2dEven 2022-11-23T01:57:42.5604894Z [ OK ] ModulesTest.Conv2dEven (0 ms) 2022-11-23T01:57:42.5605207Z [ RUN ] ModulesTest.Conv2dUneven 2022-11-23T01:57:42.5608130Z [ OK ] ModulesTest.Conv2dUneven (0 ms) 2022-11-23T01:57:42.5608511Z [ RUN ] ModulesTest.Conv2dSameStrided 2022-11-23T01:57:42.5655491Z [ OK ] ModulesTest.Conv2dSameStrided (4 ms) 2022-11-23T01:57:42.5655862Z [ RUN ] ModulesTest.Conv3d 2022-11-23T01:57:42.5660370Z [ OK ] ModulesTest.Conv3d (0 ms) 2022-11-23T01:57:42.5660756Z [ RUN ] ModulesTest.Conv3dSameStrided 2022-11-23T01:57:42.5714258Z [ OK ] ModulesTest.Conv3dSameStrided (5 ms) 2022-11-23T01:57:42.5714609Z [ RUN ] ModulesTest.ConvTranspose1d 2022-11-23T01:57:42.5717967Z [ OK ] ModulesTest.ConvTranspose1d (0 ms) 2022-11-23T01:57:42.5718580Z [ RUN ] ModulesTest.ConvTranspose2dEven 2022-11-23T01:57:42.5722742Z [ OK ] ModulesTest.ConvTranspose2dEven (0 ms) 2022-11-23T01:57:42.5723330Z [ RUN ] ModulesTest.ConvTranspose2dUneven 2022-11-23T01:57:42.5726878Z [ OK ] ModulesTest.ConvTranspose2dUneven (0 ms) 2022-11-23T01:57:42.5727434Z [ RUN ] ModulesTest.ConvTranspose3d 2022-11-23T01:57:42.5730004Z [ OK ] ModulesTest.ConvTranspose3d (0 ms) 2022-11-23T01:57:42.5730555Z [ RUN ] ModulesTest.MaxPool1d 2022-11-23T01:57:42.5743640Z [ OK ] ModulesTest.MaxPool1d (1 ms) 2022-11-23T01:57:42.5744223Z [ RUN ] ModulesTest.MaxPool1dReturnIndices 2022-11-23T01:57:42.5745142Z [ OK ] ModulesTest.MaxPool1dReturnIndices (0 ms) 2022-11-23T01:57:42.5745722Z [ RUN ] ModulesTest.MaxPool2dEven 2022-11-23T01:57:42.5746351Z [ OK ] ModulesTest.MaxPool2dEven (0 ms) 2022-11-23T01:57:42.5746767Z [ RUN ] ModulesTest.MaxPool2dUneven 2022-11-23T01:57:42.5747772Z [ OK ] ModulesTest.MaxPool2dUneven (0 ms) 2022-11-23T01:57:42.5748165Z [ RUN ] ModulesTest.MaxPool2dReturnIndices 2022-11-23T01:57:42.5748853Z [ OK ] ModulesTest.MaxPool2dReturnIndices (0 ms) 2022-11-23T01:57:42.5749233Z [ RUN ] ModulesTest.MaxPool3d 2022-11-23T01:57:42.5750909Z [ OK ] ModulesTest.MaxPool3d (0 ms) 2022-11-23T01:57:42.5751253Z [ RUN ] ModulesTest.MaxPool3dReturnIndices 2022-11-23T01:57:42.5752359Z [ OK ] ModulesTest.MaxPool3dReturnIndices (0 ms) 2022-11-23T01:57:42.5752752Z [ RUN ] ModulesTest.AvgPool1d 2022-11-23T01:57:42.5754297Z [ OK ] ModulesTest.AvgPool1d (0 ms) 2022-11-23T01:57:42.5754627Z [ RUN ] ModulesTest.AvgPool2dEven 2022-11-23T01:57:42.5755844Z [ OK ] ModulesTest.AvgPool2dEven (0 ms) 2022-11-23T01:57:42.5756350Z [ RUN ] ModulesTest.AvgPool2dUneven 2022-11-23T01:57:42.5757060Z [ OK ] ModulesTest.AvgPool2dUneven (0 ms) 2022-11-23T01:57:42.5757527Z [ RUN ] ModulesTest.AvgPool3d 2022-11-23T01:57:42.5758686Z [ OK ] ModulesTest.AvgPool3d (0 ms) 2022-11-23T01:57:42.5759199Z [ RUN ] ModulesTest.FractionalMaxPool2d 2022-11-23T01:57:42.5760959Z [ OK ] ModulesTest.FractionalMaxPool2d (0 ms) 2022-11-23T01:57:42.5761581Z [ RUN ] ModulesTest.FractionalMaxPool2dReturnIndices 2022-11-23T01:57:42.5762748Z [ OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms) 2022-11-23T01:57:42.5763343Z [ RUN ] ModulesTest.FractionalMaxPool3d 2022-11-23T01:57:42.5765135Z [ OK ] ModulesTest.FractionalMaxPool3d (0 ms) 2022-11-23T01:57:42.5765762Z [ RUN ] ModulesTest.FractionalMaxPool3dReturnIndices 2022-11-23T01:57:42.5767372Z [ OK ] ModulesTest.FractionalMaxPool3dReturnIndices (0 ms) 2022-11-23T01:57:42.5768014Z [ RUN ] ModulesTest.LPPool1d 2022-11-23T01:57:42.5769130Z [ OK ] ModulesTest.LPPool1d (0 ms) 2022-11-23T01:57:42.5769661Z [ RUN ] ModulesTest.LPPool2d 2022-11-23T01:57:42.5770682Z [ OK ] ModulesTest.LPPool2d (0 ms) 2022-11-23T01:57:42.5771174Z [ RUN ] ModulesTest.Identity 2022-11-23T01:57:42.5772254Z [ OK ] ModulesTest.Identity (0 ms) 2022-11-23T01:57:42.5772797Z [ RUN ] ModulesTest.Flatten 2022-11-23T01:57:42.5775745Z [ OK ] ModulesTest.Flatten (0 ms) 2022-11-23T01:57:42.5776210Z [ RUN ] ModulesTest.Unflatten 2022-11-23T01:57:42.5776890Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator()) 2022-11-23T01:57:42.5777683Z [ OK ] ModulesTest.Unflatten (0 ms) 2022-11-23T01:57:42.5778149Z [ RUN ] ModulesTest.AdaptiveMaxPool1d 2022-11-23T01:57:42.5779308Z [ OK ] ModulesTest.AdaptiveMaxPool1d (0 ms) 2022-11-23T01:57:42.5779915Z [ RUN ] ModulesTest.AdaptiveMaxPool1dReturnIndices 2022-11-23T01:57:42.5781248Z [ OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (0 ms) 2022-11-23T01:57:42.5781834Z [ RUN ] ModulesTest.AdaptiveMaxPool2dEven 2022-11-23T01:57:42.5783295Z [ OK ] ModulesTest.AdaptiveMaxPool2dEven (0 ms) 2022-11-23T01:57:42.5783876Z [ RUN ] ModulesTest.AdaptiveMaxPool2dUneven 2022-11-23T01:57:42.5785260Z [ OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms) 2022-11-23T01:57:42.5785910Z [ RUN ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven 2022-11-23T01:57:42.5788716Z [ OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (0 ms) 2022-11-23T01:57:42.5789461Z [ RUN ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven 2022-11-23T01:57:42.5791880Z [ OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (0 ms) 2022-11-23T01:57:42.5792516Z [ RUN ] ModulesTest.AdaptiveMaxPool3d 2022-11-23T01:57:42.5793800Z [ OK ] ModulesTest.AdaptiveMaxPool3d (0 ms) 2022-11-23T01:57:42.5794405Z [ RUN ] ModulesTest.AdaptiveMaxPool3dReturnIndices 2022-11-23T01:57:42.5797526Z [ OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (0 ms) 2022-11-23T01:57:42.5798201Z [ RUN ] ModulesTest.AdaptiveAvgPool1d 2022-11-23T01:57:42.5799066Z [ OK ] ModulesTest.AdaptiveAvgPool1d (0 ms) 2022-11-23T01:57:42.5799459Z [ RUN ] ModulesTest.AdaptiveAvgPool2dEven 2022-11-23T01:57:42.5800552Z [ OK ] ModulesTest.AdaptiveAvgPool2dEven (0 ms) 2022-11-23T01:57:42.5800999Z [ RUN ] ModulesTest.AdaptiveAvgPool2dUneven 2022-11-23T01:57:42.5802167Z [ OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms) 2022-11-23T01:57:42.5802553Z [ RUN ] ModulesTest.AdaptiveAvgPool3d 2022-11-23T01:57:42.5804131Z [ OK ] ModulesTest.AdaptiveAvgPool3d (0 ms) 2022-11-23T01:57:42.5804442Z [ RUN ] ModulesTest.MaxUnpool1d 2022-11-23T01:57:42.5806211Z [ OK ] ModulesTest.MaxUnpool1d (0 ms) 2022-11-23T01:57:42.5806641Z [ RUN ] ModulesTest.MaxPool1d_MaxUnpool1d 2022-11-23T01:57:42.5808763Z [ OK ] ModulesTest.MaxPool1d_MaxUnpool1d (0 ms) 2022-11-23T01:57:42.5809140Z [ RUN ] ModulesTest.MaxUnpool2d 2022-11-23T01:57:42.5810811Z [ OK ] ModulesTest.MaxUnpool2d (0 ms) 2022-11-23T01:57:42.5811193Z [ RUN ] ModulesTest.MaxPool2d_MaxUnpool2d 2022-11-23T01:57:42.5812819Z [ OK ] ModulesTest.MaxPool2d_MaxUnpool2d (0 ms) 2022-11-23T01:57:42.5813220Z [ RUN ] ModulesTest.MaxUnpool3d 2022-11-23T01:57:42.5814372Z [ OK ] ModulesTest.MaxUnpool3d (0 ms) 2022-11-23T01:57:42.5814755Z [ RUN ] ModulesTest.MaxUnpool3dOutputSize 2022-11-23T01:57:42.5816552Z [ OK ] ModulesTest.MaxUnpool3dOutputSize (0 ms) 2022-11-23T01:57:42.5816875Z [ RUN ] ModulesTest.MaxPool3d_MaxUnpool3d 2022-11-23T01:57:42.6866494Z [ OK ] ModulesTest.MaxPool3d_MaxUnpool3d (104 ms) 2022-11-23T01:57:42.6866817Z [ RUN ] ModulesTest.Linear 2022-11-23T01:57:42.6870785Z [ OK ] ModulesTest.Linear (0 ms) 2022-11-23T01:57:42.6871205Z [ RUN ] ModulesTest.LocalResponseNorm 2022-11-23T01:57:42.6875759Z [ OK ] ModulesTest.LocalResponseNorm (0 ms) 2022-11-23T01:57:42.6876127Z [ RUN ] ModulesTest.LayerNorm 2022-11-23T01:57:42.6877761Z [ OK ] ModulesTest.LayerNorm (0 ms) 2022-11-23T01:57:42.6878056Z [ RUN ] ModulesTest.GroupNorm 2022-11-23T01:57:42.6879970Z [ OK ] ModulesTest.GroupNorm (0 ms) 2022-11-23T01:57:42.6880255Z [ RUN ] ModulesTest.Bilinear 2022-11-23T01:57:42.6883974Z [ OK ] ModulesTest.Bilinear (0 ms) 2022-11-23T01:57:42.6884250Z [ RUN ] ModulesTest.Fold 2022-11-23T01:57:42.6909955Z [ OK ] ModulesTest.Fold (2 ms) 2022-11-23T01:57:42.6910265Z [ RUN ] ModulesTest.Unfold 2022-11-23T01:57:42.6977177Z [ OK ] ModulesTest.Unfold (6 ms) 2022-11-23T01:57:42.6977552Z [ RUN ] ModulesTest.SimpleContainer 2022-11-23T01:57:42.6996763Z [ OK ] ModulesTest.SimpleContainer (1 ms) 2022-11-23T01:57:42.6997462Z [ RUN ] ModulesTest.EmbeddingBasic 2022-11-23T01:57:42.6998155Z [ OK ] ModulesTest.EmbeddingBasic (0 ms) 2022-11-23T01:57:42.6998908Z [ RUN ] ModulesTest.EmbeddingList 2022-11-23T01:57:42.6999585Z [ OK ] ModulesTest.EmbeddingList (0 ms) 2022-11-23T01:57:42.7000343Z [ RUN ] ModulesTest.EmbeddingFromPretrained 2022-11-23T01:57:42.7001313Z [ OK ] ModulesTest.EmbeddingFromPretrained (0 ms) 2022-11-23T01:57:42.7002271Z [ RUN ] ModulesTest.EmbeddingBagFromPretrained 2022-11-23T01:57:42.7003447Z [ OK ] ModulesTest.EmbeddingBagFromPretrained (0 ms) 2022-11-23T01:57:42.7004061Z [ RUN ] ModulesTest.AlphaDropout 2022-11-23T01:57:42.7005450Z [ OK ] ModulesTest.AlphaDropout (0 ms) 2022-11-23T01:57:42.7006046Z [ RUN ] ModulesTest.FeatureAlphaDropout 2022-11-23T01:57:42.7007365Z [ OK ] ModulesTest.FeatureAlphaDropout (0 ms) 2022-11-23T01:57:42.7007921Z [ RUN ] ModulesTest.Dropout 2022-11-23T01:57:42.7010243Z [ OK ] ModulesTest.Dropout (0 ms) 2022-11-23T01:57:42.7010846Z [ RUN ] ModulesTest.Dropout2d 2022-11-23T01:57:42.7016616Z [ OK ] ModulesTest.Dropout2d (0 ms) 2022-11-23T01:57:42.7017238Z [ RUN ] ModulesTest.Dropout3d 2022-11-23T01:57:42.7024079Z [ OK ] ModulesTest.Dropout3d (0 ms) 2022-11-23T01:57:42.7024597Z [ RUN ] ModulesTest.Parameters 2022-11-23T01:57:42.7025226Z [ OK ] ModulesTest.Parameters (0 ms) 2022-11-23T01:57:42.7025818Z [ RUN ] ModulesTest.FunctionalCallsSuppliedFunction 2022-11-23T01:57:42.7026349Z [ OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms) 2022-11-23T01:57:42.7026829Z [ RUN ] ModulesTest.FunctionalWithTorchFunction 2022-11-23T01:57:42.7027320Z [ OK ] ModulesTest.FunctionalWithTorchFunction (0 ms) 2022-11-23T01:57:42.7027801Z [ RUN ] ModulesTest.FunctionalArgumentBinding 2022-11-23T01:57:42.7028255Z [ OK ] ModulesTest.FunctionalArgumentBinding (0 ms) 2022-11-23T01:57:42.7028695Z [ RUN ] ModulesTest.BatchNorm1dStateful 2022-11-23T01:57:42.7029134Z [ OK ] ModulesTest.BatchNorm1dStateful (0 ms) 2022-11-23T01:57:42.7029558Z [ RUN ] ModulesTest.BatchNorm1dStateless 2022-11-23T01:57:42.7029979Z [ OK ] ModulesTest.BatchNorm1dStateless (0 ms) 2022-11-23T01:57:42.7030370Z [ RUN ] ModulesTest.BatchNorm1d 2022-11-23T01:57:42.7030756Z [ OK ] ModulesTest.BatchNorm1d (0 ms) 2022-11-23T01:57:42.7031147Z [ RUN ] ModulesTest.BatchNorm2dStateful 2022-11-23T01:57:42.7031564Z [ OK ] ModulesTest.BatchNorm2dStateful (0 ms) 2022-11-23T01:57:42.7031989Z [ RUN ] ModulesTest.BatchNorm2dStateless 2022-11-23T01:57:42.7032412Z [ OK ] ModulesTest.BatchNorm2dStateless (0 ms) 2022-11-23T01:57:42.7032811Z [ RUN ] ModulesTest.BatchNorm2d 2022-11-23T01:57:42.7033191Z [ OK ] ModulesTest.BatchNorm2d (0 ms) 2022-11-23T01:57:42.7033583Z [ RUN ] ModulesTest.BatchNorm3dStateful 2022-11-23T01:57:42.7033992Z [ OK ] ModulesTest.BatchNorm3dStateful (0 ms) 2022-11-23T01:57:42.7034412Z [ RUN ] ModulesTest.BatchNorm3dStateless 2022-11-23T01:57:42.7034846Z [ OK ] ModulesTest.BatchNorm3dStateless (0 ms) 2022-11-23T01:57:42.7035224Z [ RUN ] ModulesTest.BatchNorm3d 2022-11-23T01:57:42.7037427Z [ OK ] ModulesTest.BatchNorm3d (0 ms) 2022-11-23T01:57:42.7037837Z [ RUN ] ModulesTest.InstanceNorm1dStateful 2022-11-23T01:57:42.7038287Z [ OK ] ModulesTest.InstanceNorm1dStateful (0 ms) 2022-11-23T01:57:42.7038773Z [ RUN ] ModulesTest.InstanceNorm1dStateless 2022-11-23T01:57:42.7039236Z [ OK ] ModulesTest.InstanceNorm1dStateless (0 ms) 2022-11-23T01:57:42.7039646Z [ RUN ] ModulesTest.InstanceNorm1d 2022-11-23T01:57:42.7040589Z [ OK ] ModulesTest.InstanceNorm1d (0 ms) 2022-11-23T01:57:42.7041001Z [ RUN ] ModulesTest.InstanceNorm2dStateful 2022-11-23T01:57:42.7041451Z [ OK ] ModulesTest.InstanceNorm2dStateful (0 ms) 2022-11-23T01:57:42.7041879Z [ RUN ] ModulesTest.InstanceNorm2dStateless 2022-11-23T01:57:42.7042512Z [ OK ] ModulesTest.InstanceNorm2dStateless (0 ms) 2022-11-23T01:57:42.7042931Z [ RUN ] ModulesTest.InstanceNorm2d 2022-11-23T01:57:42.7044637Z [ OK ] ModulesTest.InstanceNorm2d (0 ms) 2022-11-23T01:57:42.7045197Z [ RUN ] ModulesTest.InstanceNorm3dStateful 2022-11-23T01:57:42.7045651Z [ OK ] ModulesTest.InstanceNorm3dStateful (0 ms) 2022-11-23T01:57:42.7046093Z [ RUN ] ModulesTest.InstanceNorm3dStateless 2022-11-23T01:57:42.7046630Z [ OK ] ModulesTest.InstanceNorm3dStateless (0 ms) 2022-11-23T01:57:42.7047042Z [ RUN ] ModulesTest.InstanceNorm3d 2022-11-23T01:57:42.7049371Z [ OK ] ModulesTest.InstanceNorm3d (0 ms) 2022-11-23T01:57:42.7049737Z [ RUN ] ModulesTest.L1Loss 2022-11-23T01:57:42.7050675Z [ OK ] ModulesTest.L1Loss (0 ms) 2022-11-23T01:57:42.7051023Z [ RUN ] ModulesTest.MSELoss 2022-11-23T01:57:42.7052049Z [ OK ] ModulesTest.MSELoss (0 ms) 2022-11-23T01:57:42.7052386Z [ RUN ] ModulesTest.BCELoss 2022-11-23T01:57:42.7053647Z [ OK ] ModulesTest.BCELoss (0 ms) 2022-11-23T01:57:42.7054002Z [ RUN ] ModulesTest.KLDivLoss 2022-11-23T01:57:42.7054897Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div) 2022-11-23T01:57:42.7055569Z [ OK ] ModulesTest.KLDivLoss (0 ms) 2022-11-23T01:57:42.7055962Z [ RUN ] ModulesTest.HingeEmbeddingLoss 2022-11-23T01:57:42.7057781Z [ OK ] ModulesTest.HingeEmbeddingLoss (0 ms) 2022-11-23T01:57:42.7058188Z [ RUN ] ModulesTest.MultiMarginLoss 2022-11-23T01:57:42.7059500Z [ OK ] ModulesTest.MultiMarginLoss (0 ms) 2022-11-23T01:57:42.7059916Z [ RUN ] ModulesTest.CosineEmbeddingLoss 2022-11-23T01:57:42.7064040Z [ OK ] ModulesTest.CosineEmbeddingLoss (0 ms) 2022-11-23T01:57:42.7064494Z [ RUN ] ModulesTest.SmoothL1LossDefaultOptions 2022-11-23T01:57:42.7065631Z [ OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms) 2022-11-23T01:57:42.7066093Z [ RUN ] ModulesTest.HuberLossDefaultOptions 2022-11-23T01:57:42.7067451Z [ OK ] ModulesTest.HuberLossDefaultOptions (0 ms) 2022-11-23T01:57:42.7067936Z [ RUN ] ModulesTest.MultiLabelMarginLossDefaultOptions 2022-11-23T01:57:42.7069124Z [ OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms) 2022-11-23T01:57:42.7069611Z [ RUN ] ModulesTest.SmoothL1LossNoReduction 2022-11-23T01:57:42.7070551Z [ OK ] ModulesTest.SmoothL1LossNoReduction (0 ms) 2022-11-23T01:57:42.7070974Z [ RUN ] ModulesTest.HuberLossNoReduction 2022-11-23T01:57:42.7071882Z [ OK ] ModulesTest.HuberLossNoReduction (0 ms) 2022-11-23T01:57:42.7072354Z [ RUN ] ModulesTest.MultiLabelMarginLossNoReduction 2022-11-23T01:57:42.7073408Z [ OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms) 2022-11-23T01:57:42.7073858Z [ RUN ] ModulesTest.SmoothL1LossBeta 2022-11-23T01:57:42.7074675Z [ OK ] ModulesTest.SmoothL1LossBeta (0 ms) 2022-11-23T01:57:42.7075069Z [ RUN ] ModulesTest.HuberLossDelta 2022-11-23T01:57:42.7076063Z [ OK ] ModulesTest.HuberLossDelta (0 ms) 2022-11-23T01:57:42.7076460Z [ RUN ] ModulesTest.TripletMarginLoss 2022-11-23T01:57:42.7079234Z [ OK ] ModulesTest.TripletMarginLoss (0 ms) 2022-11-23T01:57:42.7079736Z [ RUN ] ModulesTest.TripletMarginWithDistanceLossDefaultParity 2022-11-23T01:57:42.7235639Z [ OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (15 ms) 2022-11-23T01:57:42.7236478Z [ RUN ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity 2022-11-23T01:57:42.7522870Z [ OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (28 ms) 2022-11-23T01:57:42.7523370Z [ RUN ] ModulesTest.NLLLoss 2022-11-23T01:57:42.7524310Z [ OK ] ModulesTest.NLLLoss (0 ms) 2022-11-23T01:57:42.7524694Z [ RUN ] ModulesTest.CrossEntropyLoss 2022-11-23T01:57:42.7531188Z [ OK ] ModulesTest.CrossEntropyLoss (0 ms) 2022-11-23T01:57:42.7531752Z [ RUN ] ModulesTest.CosineSimilarity 2022-11-23T01:57:42.7534657Z [ OK ] ModulesTest.CosineSimilarity (0 ms) 2022-11-23T01:57:42.7535114Z [ RUN ] ModulesTest.SoftMarginLossDefaultOptions 2022-11-23T01:57:42.7536856Z [ OK ] ModulesTest.SoftMarginLossDefaultOptions (0 ms) 2022-11-23T01:57:42.7537383Z [ RUN ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions 2022-11-23T01:57:42.7540205Z [ OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (0 ms) 2022-11-23T01:57:42.7540716Z [ RUN ] ModulesTest.SoftMarginLossNoReduction 2022-11-23T01:57:42.7542335Z [ OK ] ModulesTest.SoftMarginLossNoReduction (0 ms) 2022-11-23T01:57:42.7542874Z [ RUN ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction 2022-11-23T01:57:42.7544996Z [ OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms) 2022-11-23T01:57:42.7545503Z [ RUN ] ModulesTest.PairwiseDistance 2022-11-23T01:57:42.7546747Z [ OK ] ModulesTest.PairwiseDistance (0 ms) 2022-11-23T01:57:42.7547094Z [ RUN ] ModulesTest.ELU 2022-11-23T01:57:42.7557751Z [ OK ] ModulesTest.ELU (1 ms) 2022-11-23T01:57:42.7558080Z [ RUN ] ModulesTest.SELU 2022-11-23T01:57:42.7560651Z [ OK ] ModulesTest.SELU (0 ms) 2022-11-23T01:57:42.7561003Z [ RUN ] ModulesTest.Hardshrink 2022-11-23T01:57:42.7568143Z [ OK ] ModulesTest.Hardshrink (0 ms) 2022-11-23T01:57:42.7568498Z [ RUN ] ModulesTest.Hardtanh 2022-11-23T01:57:42.7592419Z [ OK ] ModulesTest.Hardtanh (2 ms) 2022-11-23T01:57:42.7592740Z [ RUN ] ModulesTest.HardtanhMinValGEMaxVal 2022-11-23T01:57:42.7670460Z [ OK ] ModulesTest.HardtanhMinValGEMaxVal (7 ms) 2022-11-23T01:57:42.7670925Z [ RUN ] ModulesTest.LeakyReLU 2022-11-23T01:57:42.7681805Z [ OK ] ModulesTest.LeakyReLU (1 ms) 2022-11-23T01:57:42.7682332Z [ RUN ] ModulesTest.LogSigmoid 2022-11-23T01:57:42.7683597Z [ OK ] ModulesTest.LogSigmoid (0 ms) 2022-11-23T01:57:42.7684107Z [ RUN ] ModulesTest.Softmax 2022-11-23T01:57:42.7685694Z [ OK ] ModulesTest.Softmax (0 ms) 2022-11-23T01:57:42.7697216Z [ RUN ] ModulesTest.Softmin 2022-11-23T01:57:42.7697860Z [ OK ] ModulesTest.Softmin (0 ms) 2022-11-23T01:57:42.7698400Z [ RUN ] ModulesTest.LogSoftmax 2022-11-23T01:57:42.7698710Z [ OK ] ModulesTest.LogSoftmax (0 ms) 2022-11-23T01:57:42.7699056Z [ RUN ] ModulesTest.AdaptiveLogSoftmaxWithLoss 2022-11-23T01:57:42.7715182Z [ OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (2 ms) 2022-11-23T01:57:42.7715516Z [ RUN ] ModulesTest.Softmax2d 2022-11-23T01:57:42.7725757Z [ OK ] ModulesTest.Softmax2d (1 ms) 2022-11-23T01:57:42.7726104Z [ RUN ] ModulesTest.PReLU 2022-11-23T01:57:42.7730461Z [ OK ] ModulesTest.PReLU (0 ms) 2022-11-23T01:57:42.7730746Z [ RUN ] ModulesTest.ReLU 2022-11-23T01:57:42.7733407Z [ OK ] ModulesTest.ReLU (0 ms) 2022-11-23T01:57:42.7733666Z [ RUN ] ModulesTest.ReLU6 2022-11-23T01:57:42.7736384Z [ OK ] ModulesTest.ReLU6 (0 ms) 2022-11-23T01:57:42.7736656Z [ RUN ] ModulesTest.RReLU 2022-11-23T01:57:42.7773745Z [ OK ] ModulesTest.RReLU (3 ms) 2022-11-23T01:57:42.7774215Z [ RUN ] ModulesTest.CELU 2022-11-23T01:57:42.7783743Z [ OK ] ModulesTest.CELU (1 ms) 2022-11-23T01:57:42.7784134Z [ RUN ] ModulesTest.GLU 2022-11-23T01:57:42.7786368Z [ OK ] ModulesTest.GLU (0 ms) 2022-11-23T01:57:42.7786675Z [ RUN ] ModulesTest.GELU 2022-11-23T01:57:42.7805680Z [ OK ] ModulesTest.GELU (0 ms) 2022-11-23T01:57:42.7806380Z [ RUN ] ModulesTest.TanhGELU 2022-11-23T01:57:42.7806914Z [ OK ] ModulesTest.TanhGELU (0 ms) 2022-11-23T01:57:42.7807360Z [ RUN ] ModulesTest.Mish 2022-11-23T01:57:42.7807841Z [ OK ] ModulesTest.Mish (0 ms) 2022-11-23T01:57:42.7808116Z [ RUN ] ModulesTest.Sigmoid 2022-11-23T01:57:42.7808394Z [ OK ] ModulesTest.Sigmoid (0 ms) 2022-11-23T01:57:42.7808836Z [ RUN ] ModulesTest.PixelShuffle 2022-11-23T01:57:42.7809314Z [ OK ] ModulesTest.PixelShuffle (0 ms) 2022-11-23T01:57:42.7809676Z [ RUN ] ModulesTest.PixelUnshuffle 2022-11-23T01:57:42.7810155Z [ OK ] ModulesTest.PixelUnshuffle (0 ms) 2022-11-23T01:57:42.7810655Z [ RUN ] ModulesTest.Softplus 2022-11-23T01:57:42.7811148Z [ OK ] ModulesTest.Softplus (0 ms) 2022-11-23T01:57:42.7811627Z [ RUN ] ModulesTest.Softshrink 2022-11-23T01:57:42.7811942Z [ OK ] ModulesTest.Softshrink (0 ms) 2022-11-23T01:57:42.7812229Z [ RUN ] ModulesTest.Softsign 2022-11-23T01:57:42.7812509Z [ OK ] ModulesTest.Softsign (0 ms) 2022-11-23T01:57:42.7812758Z [ RUN ] ModulesTest.Tanh 2022-11-23T01:57:42.7813022Z [ OK ] ModulesTest.Tanh (0 ms) 2022-11-23T01:57:42.7813295Z [ RUN ] ModulesTest.Tanhshrink 2022-11-23T01:57:42.7813572Z [ OK ] ModulesTest.Tanhshrink (0 ms) 2022-11-23T01:57:42.7813856Z [ RUN ] ModulesTest.Threshold 2022-11-23T01:57:42.7824470Z [ OK ] ModulesTest.Threshold (1 ms) 2022-11-23T01:57:42.7824760Z [ RUN ] ModulesTest.Upsampling1D 2022-11-23T01:57:42.7826483Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7829267Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7831260Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7832256Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7834810Z [ OK ] ModulesTest.Upsampling1D (1 ms) 2022-11-23T01:57:42.7835539Z [ RUN ] ModulesTest.Upsampling2D 2022-11-23T01:57:42.7836269Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7837531Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7840015Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7840978Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7843107Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7844403Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7847117Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7848071Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7850260Z [ OK ] ModulesTest.Upsampling2D (1 ms) 2022-11-23T01:57:42.7850607Z [ RUN ] ModulesTest.Upsampling3D 2022-11-23T01:57:42.7851782Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7853096Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7855225Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7856287Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T01:57:42.7857830Z [ OK ] ModulesTest.Upsampling3D (0 ms) 2022-11-23T01:57:42.7858124Z [ RUN ] ModulesTest.CTCLoss 2022-11-23T01:57:42.7861414Z [ OK ] ModulesTest.CTCLoss (0 ms) 2022-11-23T01:57:42.7863852Z [ RUN ] ModulesTest.PoissonNLLLoss 2022-11-23T01:57:42.7864175Z [ OK ] ModulesTest.PoissonNLLLoss (0 ms) 2022-11-23T01:57:42.7864478Z [ RUN ] ModulesTest.MarginRankingLoss 2022-11-23T01:57:42.7867379Z [ OK ] ModulesTest.MarginRankingLoss (0 ms) 2022-11-23T01:57:42.7867704Z [ RUN ] ModulesTest.BCEWithLogitsLoss 2022-11-23T01:57:42.7927917Z [ OK ] ModulesTest.BCEWithLogitsLoss (6 ms) 2022-11-23T01:57:42.7928237Z [ RUN ] ModulesTest.MultiheadAttention 2022-11-23T01:57:51.7646937Z [ OK ] ModulesTest.MultiheadAttention (8971 ms) 2022-11-23T01:57:51.7647469Z [ RUN ] ModulesTest.PrettyPrintIdentity 2022-11-23T01:57:51.7647819Z [ OK ] ModulesTest.PrettyPrintIdentity (0 ms) 2022-11-23T01:57:51.7648197Z [ RUN ] ModulesTest.PrettyPrintFlatten 2022-11-23T01:57:51.7648746Z [ OK ] ModulesTest.PrettyPrintFlatten (0 ms) 2022-11-23T01:57:51.7649344Z [ RUN ] ModulesTest.PrettyPrintUnflatten 2022-11-23T01:57:51.7649791Z [ OK ] ModulesTest.PrettyPrintUnflatten (0 ms) 2022-11-23T01:57:51.7650282Z [ RUN ] ModulesTest.ReflectionPad1d 2022-11-23T01:57:51.7650856Z [ OK ] ModulesTest.ReflectionPad1d (0 ms) 2022-11-23T01:57:51.7651286Z [ RUN ] ModulesTest.ReflectionPad2d 2022-11-23T01:57:51.7651604Z [ OK ] ModulesTest.ReflectionPad2d (0 ms) 2022-11-23T01:57:51.7651912Z [ RUN ] ModulesTest.ReflectionPad3d 2022-11-23T01:57:51.7654946Z [ OK ] ModulesTest.ReflectionPad3d (0 ms) 2022-11-23T01:57:51.7655310Z [ RUN ] ModulesTest.ReplicationPad1d 2022-11-23T01:57:51.7656467Z [ OK ] ModulesTest.ReplicationPad1d (0 ms) 2022-11-23T01:57:51.7656868Z [ RUN ] ModulesTest.ReplicationPad2d 2022-11-23T01:57:51.7658767Z [ OK ] ModulesTest.ReplicationPad2d (0 ms) 2022-11-23T01:57:51.7659080Z [ RUN ] ModulesTest.ReplicationPad3d 2022-11-23T01:57:51.7662719Z [ OK ] ModulesTest.ReplicationPad3d (0 ms) 2022-11-23T01:57:51.7663085Z [ RUN ] ModulesTest.ZeroPad2d 2022-11-23T01:57:51.7665363Z [ OK ] ModulesTest.ZeroPad2d (0 ms) 2022-11-23T01:57:51.7665666Z [ RUN ] ModulesTest.ConstantPad1d 2022-11-23T01:57:51.7667458Z [ OK ] ModulesTest.ConstantPad1d (0 ms) 2022-11-23T01:57:51.7667814Z [ RUN ] ModulesTest.ConstantPad2d 2022-11-23T01:57:51.7669877Z [ OK ] ModulesTest.ConstantPad2d (0 ms) 2022-11-23T01:57:51.7670221Z [ RUN ] ModulesTest.ConstantPad3d 2022-11-23T01:57:51.7673672Z [ OK ] ModulesTest.ConstantPad3d (0 ms) 2022-11-23T01:57:51.7673995Z [ RUN ] ModulesTest.CrossMapLRN2d 2022-11-23T01:57:51.7680433Z [ OK ] ModulesTest.CrossMapLRN2d (0 ms) 2022-11-23T01:57:51.7680780Z [ RUN ] ModulesTest.RNNCell 2022-11-23T01:57:51.7683780Z [ OK ] ModulesTest.RNNCell (0 ms) 2022-11-23T01:57:51.7684096Z [ RUN ] ModulesTest.LSTMCell 2022-11-23T01:57:51.7688560Z [ OK ] ModulesTest.LSTMCell (0 ms) 2022-11-23T01:57:51.7688908Z [ RUN ] ModulesTest.GRUCell 2022-11-23T01:57:51.7692978Z [ OK ] ModulesTest.GRUCell (0 ms) 2022-11-23T01:57:51.7693433Z [ RUN ] ModulesTest.PrettyPrintLinear 2022-11-23T01:57:51.7693794Z [ OK ] ModulesTest.PrettyPrintLinear (0 ms) 2022-11-23T01:57:51.7694124Z [ RUN ] ModulesTest.PrettyPrintBilinear 2022-11-23T01:57:51.7694476Z [ OK ] ModulesTest.PrettyPrintBilinear (0 ms) 2022-11-23T01:57:51.7694818Z [ RUN ] ModulesTest.PrettyPrintConv 2022-11-23T01:57:51.7695955Z [ OK ] ModulesTest.PrettyPrintConv (0 ms) 2022-11-23T01:57:51.7696342Z [ RUN ] ModulesTest.PrettyPrintConvTranspose 2022-11-23T01:57:51.7698255Z [ OK ] ModulesTest.PrettyPrintConvTranspose (0 ms) 2022-11-23T01:57:51.7698912Z [ RUN ] ModulesTest.PrettyPrintUpsample 2022-11-23T01:57:51.7699443Z [ OK ] ModulesTest.PrettyPrintUpsample (0 ms) 2022-11-23T01:57:51.7699902Z [ RUN ] ModulesTest.PrettyPrintFold 2022-11-23T01:57:51.7700356Z [ OK ] ModulesTest.PrettyPrintFold (0 ms) 2022-11-23T01:57:51.7700806Z [ RUN ] ModulesTest.PrettyPrintUnfold 2022-11-23T01:57:51.7701226Z [ OK ] ModulesTest.PrettyPrintUnfold (0 ms) 2022-11-23T01:57:51.7701744Z [ RUN ] ModulesTest.PrettyPrintMaxPool 2022-11-23T01:57:51.7702259Z [ OK ] ModulesTest.PrettyPrintMaxPool (0 ms) 2022-11-23T01:57:51.7702813Z [ RUN ] ModulesTest.PrettyPrintAvgPool 2022-11-23T01:57:51.7703355Z [ OK ] ModulesTest.PrettyPrintAvgPool (0 ms) 2022-11-23T01:57:51.7703782Z [ RUN ] ModulesTest.PrettyPrinFractionalMaxPool 2022-11-23T01:57:51.7704276Z [ OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms) 2022-11-23T01:57:51.7704767Z [ RUN ] ModulesTest.PrettyPrintLPPool 2022-11-23T01:57:51.7710027Z [ OK ] ModulesTest.PrettyPrintLPPool (0 ms) 2022-11-23T01:57:51.7710967Z [ RUN ] ModulesTest.PrettyPrintAdaptiveMaxPool 2022-11-23T01:57:51.7711673Z [ OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms) 2022-11-23T01:57:51.7712338Z [ RUN ] ModulesTest.PrettyPrintAdaptiveAvgPool 2022-11-23T01:57:51.7713069Z [ OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms) 2022-11-23T01:57:51.7713807Z [ RUN ] ModulesTest.PrettyPrintMaxUnpool 2022-11-23T01:57:51.7714531Z [ OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms) 2022-11-23T01:57:51.7715247Z [ RUN ] ModulesTest.PrettyPrintDropout 2022-11-23T01:57:51.7715979Z [ OK ] ModulesTest.PrettyPrintDropout (0 ms) 2022-11-23T01:57:51.7716673Z [ RUN ] ModulesTest.PrettyPrintDropout2d 2022-11-23T01:57:51.7717427Z [ OK ] ModulesTest.PrettyPrintDropout2d (0 ms) 2022-11-23T01:57:51.7718156Z [ RUN ] ModulesTest.PrettyPrintDropout3d 2022-11-23T01:57:51.7718951Z [ OK ] ModulesTest.PrettyPrintDropout3d (0 ms) 2022-11-23T01:57:51.7719661Z [ RUN ] ModulesTest.PrettyPrintFunctional 2022-11-23T01:57:51.7720404Z [ OK ] ModulesTest.PrettyPrintFunctional (0 ms) 2022-11-23T01:57:51.7721152Z [ RUN ] ModulesTest.PrettyPrintBatchNorm1d 2022-11-23T01:57:51.7722131Z [ OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms) 2022-11-23T01:57:51.7722880Z [ RUN ] ModulesTest.PrettyPrintBatchNorm2d 2022-11-23T01:57:51.7723634Z [ OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms) 2022-11-23T01:57:51.7724352Z [ RUN ] ModulesTest.PrettyPrintBatchNorm3d 2022-11-23T01:57:51.7725287Z [ OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms) 2022-11-23T01:57:51.7726175Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm1d 2022-11-23T01:57:51.7726977Z [ OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms) 2022-11-23T01:57:51.7727752Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm2d 2022-11-23T01:57:51.7728547Z [ OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms) 2022-11-23T01:57:51.7729343Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm3d 2022-11-23T01:57:51.7730121Z [ OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms) 2022-11-23T01:57:51.7730886Z [ RUN ] ModulesTest.PrettyPrintLayerNorm 2022-11-23T01:57:51.7731633Z [ OK ] ModulesTest.PrettyPrintLayerNorm (0 ms) 2022-11-23T01:57:51.7732484Z [ RUN ] ModulesTest.PrettyPrintGroupNorm 2022-11-23T01:57:51.7733227Z [ OK ] ModulesTest.PrettyPrintGroupNorm (0 ms) 2022-11-23T01:57:51.7733982Z [ RUN ] ModulesTest.PrettyPrintLocalResponseNorm 2022-11-23T01:57:51.7734832Z [ OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms) 2022-11-23T01:57:51.7735581Z [ RUN ] ModulesTest.PrettyPrintEmbedding 2022-11-23T01:57:51.7736319Z [ OK ] ModulesTest.PrettyPrintEmbedding (0 ms) 2022-11-23T01:57:51.7737063Z [ RUN ] ModulesTest.PrettyPrintEmbeddingBag 2022-11-23T01:57:51.7737820Z [ OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms) 2022-11-23T01:57:51.7738543Z [ RUN ] ModulesTest.PrettyPrintL1Loss 2022-11-23T01:57:51.7739248Z [ OK ] ModulesTest.PrettyPrintL1Loss (0 ms) 2022-11-23T01:57:51.7739934Z [ RUN ] ModulesTest.PrettyPrintKLDivLoss 2022-11-23T01:57:51.7740679Z [ OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms) 2022-11-23T01:57:51.7741396Z [ RUN ] ModulesTest.PrettyPrintMSELoss 2022-11-23T01:57:51.7742107Z [ OK ] ModulesTest.PrettyPrintMSELoss (0 ms) 2022-11-23T01:57:51.7742782Z [ RUN ] ModulesTest.PrettyPrintBCELoss 2022-11-23T01:57:51.7743503Z [ OK ] ModulesTest.PrettyPrintBCELoss (0 ms) 2022-11-23T01:57:51.7744277Z [ RUN ] ModulesTest.PrettyPrintHingeEmbeddingLoss 2022-11-23T01:57:51.7745113Z [ OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms) 2022-11-23T01:57:51.7745968Z [ RUN ] ModulesTest.PrettyPrintCosineEmbeddingLoss 2022-11-23T01:57:51.7746829Z [ OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms) 2022-11-23T01:57:51.7747670Z [ RUN ] ModulesTest.PrettyPrintTripletMarginLoss 2022-11-23T01:57:51.7748511Z [ OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms) 2022-11-23T01:57:51.7749434Z [ RUN ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss 2022-11-23T01:57:51.7750444Z [ OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms) 2022-11-23T01:57:51.7751264Z [ RUN ] ModulesTest.PrettyPrintNLLLoss 2022-11-23T01:57:51.7751981Z [ OK ] ModulesTest.PrettyPrintNLLLoss (0 ms) 2022-11-23T01:57:51.7752754Z [ RUN ] ModulesTest.PrettyPrinCrossEntropyLoss 2022-11-23T01:57:51.7753545Z [ OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms) 2022-11-23T01:57:51.7754390Z [ RUN ] ModulesTest.PrettyPrintMultiLabelMarginLoss 2022-11-23T01:57:51.7755279Z [ OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms) 2022-11-23T01:57:51.7756161Z [ RUN ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss 2022-11-23T01:57:51.7757243Z [ OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms) 2022-11-23T01:57:51.7758103Z [ RUN ] ModulesTest.PrettyPrintSoftMarginLoss 2022-11-23T01:57:51.7758969Z [ OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms) 2022-11-23T01:57:51.7759762Z [ RUN ] ModulesTest.PrettyPrintCosineSimilarity 2022-11-23T01:57:51.7760593Z [ OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms) 2022-11-23T01:57:51.7761479Z [ RUN ] ModulesTest.PrettyPrintPairwiseDistance 2022-11-23T01:57:51.7762286Z [ OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms) 2022-11-23T01:57:51.7763092Z [ RUN ] ModulesTest.PrettyPrintReflectionPad 2022-11-23T01:57:51.7766449Z [ OK ] ModulesTest.PrettyPrintReflectionPad (0 ms) 2022-11-23T01:57:51.7767169Z [ RUN ] ModulesTest.PrettyPrintReplicationPad 2022-11-23T01:57:51.7767819Z [ OK ] ModulesTest.PrettyPrintReplicationPad (0 ms) 2022-11-23T01:57:51.7768441Z [ RUN ] ModulesTest.PrettyPrintZeroPad2d 2022-11-23T01:57:51.7769026Z [ OK ] ModulesTest.PrettyPrintZeroPad2d (0 ms) 2022-11-23T01:57:51.7769633Z [ RUN ] ModulesTest.PrettyPrintConstantPad 2022-11-23T01:57:51.7770242Z [ OK ] ModulesTest.PrettyPrintConstantPad (0 ms) 2022-11-23T01:57:51.7770809Z [ RUN ] ModulesTest.PrettyPrintNestedModel 2022-11-23T01:57:51.7771436Z [ OK ] ModulesTest.PrettyPrintNestedModel (0 ms) 2022-11-23T01:57:51.7772008Z [ RUN ] ModulesTest.PrettyPrintELU 2022-11-23T01:57:51.7772549Z [ OK ] ModulesTest.PrettyPrintELU (0 ms) 2022-11-23T01:57:51.7773089Z [ RUN ] ModulesTest.PrettyPrintSELU 2022-11-23T01:57:51.7773597Z [ OK ] ModulesTest.PrettyPrintSELU (0 ms) 2022-11-23T01:57:51.7774110Z [ RUN ] ModulesTest.PrettyPrintGLU 2022-11-23T01:57:51.7774662Z [ OK ] ModulesTest.PrettyPrintGLU (0 ms) 2022-11-23T01:57:51.7775261Z [ RUN ] ModulesTest.PrettyPrintHardshrink 2022-11-23T01:57:51.7775900Z [ OK ] ModulesTest.PrettyPrintHardshrink (0 ms) 2022-11-23T01:57:51.7776329Z [ RUN ] ModulesTest.PrettyPrintHardtanh 2022-11-23T01:57:51.7776670Z [ OK ] ModulesTest.PrettyPrintHardtanh (0 ms) 2022-11-23T01:57:51.7777005Z [ RUN ] ModulesTest.PrettyPrintLeakyReLU 2022-11-23T01:57:51.7777358Z [ OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms) 2022-11-23T01:57:51.7777688Z [ RUN ] ModulesTest.PrettyPrintLogSigmoid 2022-11-23T01:57:51.7778034Z [ OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms) 2022-11-23T01:57:51.7778370Z [ RUN ] ModulesTest.PrettyPrintSoftmax 2022-11-23T01:57:51.7778687Z [ OK ] ModulesTest.PrettyPrintSoftmax (0 ms) 2022-11-23T01:57:51.7779010Z [ RUN ] ModulesTest.PrettyPrintSoftmin 2022-11-23T01:57:51.7779342Z [ OK ] ModulesTest.PrettyPrintSoftmin (0 ms) 2022-11-23T01:57:51.7779662Z [ RUN ] ModulesTest.PrettyPrintLogSoftmax 2022-11-23T01:57:51.7780011Z [ OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms) 2022-11-23T01:57:51.7780348Z [ RUN ] ModulesTest.PrettyPrintSoftmax2d 2022-11-23T01:57:51.7780692Z [ OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms) 2022-11-23T01:57:51.7781059Z [ RUN ] ModulesTest.PrettyPrintPReLU 2022-11-23T01:57:51.7781373Z [ OK ] ModulesTest.PrettyPrintPReLU (0 ms) 2022-11-23T01:57:51.7781688Z [ RUN ] ModulesTest.PrettyPrintReLU 2022-11-23T01:57:51.7782004Z [ OK ] ModulesTest.PrettyPrintReLU (0 ms) 2022-11-23T01:57:51.7782307Z [ RUN ] ModulesTest.PrettyPrintReLU6 2022-11-23T01:57:51.7782629Z [ OK ] ModulesTest.PrettyPrintReLU6 (0 ms) 2022-11-23T01:57:51.7782943Z [ RUN ] ModulesTest.PrettyPrintRReLU 2022-11-23T01:57:51.7783389Z [ OK ] ModulesTest.PrettyPrintRReLU (0 ms) 2022-11-23T01:57:51.7783711Z [ RUN ] ModulesTest.PrettyPrintCELU 2022-11-23T01:57:51.7784030Z [ OK ] ModulesTest.PrettyPrintCELU (0 ms) 2022-11-23T01:57:51.7784337Z [ RUN ] ModulesTest.PrettyPrintSigmoid 2022-11-23T01:57:51.7784670Z [ OK ] ModulesTest.PrettyPrintSigmoid (0 ms) 2022-11-23T01:57:51.7785011Z [ RUN ] ModulesTest.PrettyPrintPixelShuffle 2022-11-23T01:57:51.7785435Z [ OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms) 2022-11-23T01:57:51.7785788Z [ RUN ] ModulesTest.PrettyPrintPixelUnshuffle 2022-11-23T01:57:51.7786156Z [ OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms) 2022-11-23T01:57:51.7786507Z [ RUN ] ModulesTest.PrettyPrintSoftplus 2022-11-23T01:57:51.7786831Z [ OK ] ModulesTest.PrettyPrintSoftplus (0 ms) 2022-11-23T01:57:51.7787173Z [ RUN ] ModulesTest.PrettyPrintSoftshrink 2022-11-23T01:57:51.7787526Z [ OK ] ModulesTest.PrettyPrintSoftshrink (0 ms) 2022-11-23T01:57:51.7787852Z [ RUN ] ModulesTest.PrettyPrintSoftsign 2022-11-23T01:57:51.7788191Z [ OK ] ModulesTest.PrettyPrintSoftsign (0 ms) 2022-11-23T01:57:51.7788513Z [ RUN ] ModulesTest.PrettyPrintTanh 2022-11-23T01:57:51.7788833Z [ OK ] ModulesTest.PrettyPrintTanh (0 ms) 2022-11-23T01:57:51.7789148Z [ RUN ] ModulesTest.PrettyPrintTanhshrink 2022-11-23T01:57:51.7789503Z [ OK ] ModulesTest.PrettyPrintTanhshrink (0 ms) 2022-11-23T01:57:51.7789843Z [ RUN ] ModulesTest.PrettyPrintThreshold 2022-11-23T01:57:51.7790174Z [ OK ] ModulesTest.PrettyPrintThreshold (0 ms) 2022-11-23T01:57:51.7790501Z [ RUN ] ModulesTest.PrettyPrintCTCLoss 2022-11-23T01:57:51.7790834Z [ OK ] ModulesTest.PrettyPrintCTCLoss (0 ms) 2022-11-23T01:57:51.7791178Z [ RUN ] ModulesTest.PrettyPrintPoissonNLLLoss 2022-11-23T01:57:51.7791531Z [ OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms) 2022-11-23T01:57:51.7791902Z [ RUN ] ModulesTest.PrettyPrintMarginRankingLoss 2022-11-23T01:57:51.7792286Z [ OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms) 2022-11-23T01:57:51.7792657Z [ RUN ] ModulesTest.PrettyPrintCrossMapLRN2d 2022-11-23T01:57:51.7793004Z [ OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms) 2022-11-23T01:57:51.7793361Z [ RUN ] ModulesTest.PrettyPrintAlphaDropout 2022-11-23T01:57:51.7793717Z [ OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms) 2022-11-23T01:57:51.7794078Z [ RUN ] ModulesTest.PrettyPrintFeatureAlphaDropout 2022-11-23T01:57:51.7794478Z [ OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms) 2022-11-23T01:57:51.7794866Z [ RUN ] ModulesTest.PrettyPrintBCEWithLogitsLoss 2022-11-23T01:57:51.7795239Z [ OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms) 2022-11-23T01:57:51.7795623Z [ RUN ] ModulesTest.PrettyPrintMultiheadAttention 2022-11-23T01:57:51.7796017Z [ OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms) 2022-11-23T01:57:51.7796367Z [ RUN ] ModulesTest.PrettyPrintRNNCell 2022-11-23T01:57:51.7796687Z [ OK ] ModulesTest.PrettyPrintRNNCell (0 ms) 2022-11-23T01:57:51.7797013Z [ RUN ] ModulesTest.PrettyPrintLSTMCell 2022-11-23T01:57:51.7797346Z [ OK ] ModulesTest.PrettyPrintLSTMCell (0 ms) 2022-11-23T01:57:51.7797659Z [ RUN ] ModulesTest.PrettyPrintGRUCell 2022-11-23T01:57:51.7797985Z [ OK ] ModulesTest.PrettyPrintGRUCell (0 ms) 2022-11-23T01:57:51.7798366Z [ RUN ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss 2022-11-23T01:57:51.7798884Z [ OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms) 2022-11-23T01:57:51.7799332Z [----------] 256 tests from ModulesTest (9218 ms total) 2022-11-23T01:57:51.7799492Z 2022-11-23T01:57:51.7799631Z [----------] 1 test from NestedTest 2022-11-23T01:57:51.7799892Z [ RUN ] NestedTest.Nested 2022-11-23T01:57:51.7800239Z [W NestedTensorImpl.cpp:179] Warning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (function operator()) 2022-11-23T01:57:51.7800630Z [ OK ] NestedTest.Nested (0 ms) 2022-11-23T01:57:51.7800960Z [----------] 1 test from NestedTest (0 ms total) 2022-11-23T01:57:51.7801106Z 2022-11-23T01:57:51.7801255Z [----------] 10 tests from ParameterDictTest 2022-11-23T01:57:51.7801581Z [ RUN ] ParameterDictTest.ConstructFromTensor 2022-11-23T01:57:51.7801946Z [ OK ] ParameterDictTest.ConstructFromTensor (0 ms) 2022-11-23T01:57:51.7802322Z [ RUN ] ParameterDictTest.ConstructFromOrderedDict 2022-11-23T01:57:51.7802706Z [ OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms) 2022-11-23T01:57:51.7803073Z [ RUN ] ParameterDictTest.InsertAndContains 2022-11-23T01:57:51.7803432Z [ OK ] ParameterDictTest.InsertAndContains (0 ms) 2022-11-23T01:57:51.7803759Z [ RUN ] ParameterDictTest.InsertAndClear 2022-11-23T01:57:51.7804095Z [ OK ] ParameterDictTest.InsertAndClear (0 ms) 2022-11-23T01:57:51.7804423Z [ RUN ] ParameterDictTest.InsertAndPop 2022-11-23T01:57:51.7804950Z [ OK ] ParameterDictTest.InsertAndPop (1 ms) 2022-11-23T01:57:51.7805331Z [ RUN ] ParameterDictTest.SimpleUpdate 2022-11-23T01:57:51.7805661Z [ OK ] ParameterDictTest.SimpleUpdate (1 ms) 2022-11-23T01:57:51.7805964Z [ RUN ] ParameterDictTest.Keys 2022-11-23T01:57:51.7806242Z [ OK ] ParameterDictTest.Keys (0 ms) 2022-11-23T01:57:51.7806534Z [ RUN ] ParameterDictTest.Values 2022-11-23T01:57:51.7806841Z [ OK ] ParameterDictTest.Values (0 ms) 2022-11-23T01:57:51.7807115Z [ RUN ] ParameterDictTest.Get 2022-11-23T01:57:51.7807401Z [ OK ] ParameterDictTest.Get (0 ms) 2022-11-23T01:57:51.7807745Z [ RUN ] ParameterDictTest.PrettyPrintParameterDict 2022-11-23T01:57:51.7808131Z [ OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms) 2022-11-23T01:57:51.7808508Z [----------] 10 tests from ParameterDictTest (4 ms total) 2022-11-23T01:57:51.7808688Z 2022-11-23T01:57:51.7808888Z [----------] 8 tests from ParameterListTest 2022-11-23T01:57:51.7809390Z [ RUN ] ParameterListTest.ConstructsFromSharedPointer 2022-11-23T01:57:51.7810017Z [ OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms) 2022-11-23T01:57:51.7810586Z [ RUN ] ParameterListTest.isEmpty 2022-11-23T01:57:51.7811120Z [ OK ] ParameterListTest.isEmpty (0 ms) 2022-11-23T01:57:51.7811614Z [ RUN ] ParameterListTest.PushBackAddsAnElement 2022-11-23T01:57:51.7812207Z [ OK ] ParameterListTest.PushBackAddsAnElement (0 ms) 2022-11-23T01:57:51.7812826Z [ RUN ] ParameterListTest.ForEachLoop 2022-11-23T01:57:51.7813307Z [ OK ] ParameterListTest.ForEachLoop (0 ms) 2022-11-23T01:57:51.7813632Z [ RUN ] ParameterListTest.AccessWithAt 2022-11-23T01:57:51.7813981Z [ OK ] ParameterListTest.AccessWithAt (4 ms) 2022-11-23T01:57:51.7814418Z [ RUN ] ParameterListTest.ExtendPushesParametersFromOtherParameterList 2022-11-23T01:57:51.7814942Z [ OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms) 2022-11-23T01:57:51.7815397Z [ RUN ] ParameterListTest.PrettyPrintParameterList 2022-11-23T01:57:51.7815800Z [ OK ] ParameterListTest.PrettyPrintParameterList (0 ms) 2022-11-23T01:57:51.7816144Z [ RUN ] ParameterListTest.IncrementAdd 2022-11-23T01:57:51.7816589Z [ OK ] ParameterListTest.IncrementAdd (0 ms) 2022-11-23T01:57:51.7816939Z [----------] 8 tests from ParameterListTest (4 ms total) 2022-11-23T01:57:51.7817101Z 2022-11-23T01:57:51.7817252Z [----------] 1 test from NamespaceTests 2022-11-23T01:57:51.7817633Z [ RUN ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace 2022-11-23T01:57:51.7818141Z [ OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms) 2022-11-23T01:57:51.7818617Z [----------] 1 test from NamespaceTests (0 ms total) 2022-11-23T01:57:51.7818771Z 2022-11-23T01:57:51.7818903Z [----------] 7 tests from NNUtilsTest 2022-11-23T01:57:51.7819183Z [ RUN ] NNUtilsTest.ClipGradNorm 2022-11-23T01:57:51.7827327Z [ OK ] NNUtilsTest.ClipGradNorm (1 ms) 2022-11-23T01:57:51.7827675Z [ RUN ] NNUtilsTest.ClipGradNormErrorIfNonfinite 2022-11-23T01:57:51.9596680Z [ OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (176 ms) 2022-11-23T01:57:51.9597147Z [ RUN ] NNUtilsTest.ClipGradValue 2022-11-23T01:57:51.9598054Z [ OK ] NNUtilsTest.ClipGradValue (0 ms) 2022-11-23T01:57:51.9598785Z [ RUN ] NNUtilsTest.ConvertParameters 2022-11-23T01:57:51.9602952Z [ OK ] NNUtilsTest.ConvertParameters (0 ms) 2022-11-23T01:57:51.9603481Z [ RUN ] NNUtilsTest.PackSequence 2022-11-23T01:57:51.9989450Z [ OK ] NNUtilsTest.PackSequence (38 ms) 2022-11-23T01:57:51.9989828Z [ RUN ] NNUtilsTest.PackPaddedSequence 2022-11-23T01:57:52.0153635Z [ OK ] NNUtilsTest.PackPaddedSequence (16 ms) 2022-11-23T01:57:52.0154030Z [ RUN ] NNUtilsTest.PadSequence 2022-11-23T01:57:52.0215598Z [ OK ] NNUtilsTest.PadSequence (6 ms) 2022-11-23T01:57:52.0216213Z [----------] 7 tests from NNUtilsTest (240 ms total) 2022-11-23T01:57:52.0216414Z 2022-11-23T01:57:52.0216598Z [----------] 3 tests from PackedSequenceTest 2022-11-23T01:57:52.0216913Z [ RUN ] PackedSequenceTest.WrongOrder 2022-11-23T01:57:52.0255394Z [ OK ] PackedSequenceTest.WrongOrder (3 ms) 2022-11-23T01:57:52.0255973Z [ RUN ] PackedSequenceTest.TotalLength 2022-11-23T01:57:52.0330513Z [ OK ] PackedSequenceTest.TotalLength (7 ms) 2022-11-23T01:57:52.0331066Z [ RUN ] PackedSequenceTest.To 2022-11-23T01:57:52.0332537Z [ OK ] PackedSequenceTest.To (0 ms) 2022-11-23T01:57:52.0333146Z [----------] 3 tests from PackedSequenceTest (11 ms total) 2022-11-23T01:57:52.0333395Z 2022-11-23T01:57:52.0333544Z [----------] 34 tests from OptimTest 2022-11-23T01:57:52.0333835Z [ RUN ] OptimTest.OptimizerAccessors 2022-11-23T01:57:52.0350806Z [ OK ] OptimTest.OptimizerAccessors (1 ms) 2022-11-23T01:57:52.0351254Z [ RUN ] OptimTest.OldInterface 2022-11-23T01:57:52.0352515Z [ OK ] OptimTest.OldInterface (0 ms) 2022-11-23T01:57:52.0353068Z [ RUN ] OptimTest.XORConvergence_SGD 2022-11-23T01:57:53.3304177Z [ OK ] OptimTest.XORConvergence_SGD (1294 ms) 2022-11-23T01:57:53.3304704Z [ RUN ] OptimTest.XORConvergence_LBFGS 2022-11-23T01:57:54.2311341Z [ OK ] OptimTest.XORConvergence_LBFGS (900 ms) 2022-11-23T01:57:54.2311864Z [ RUN ] OptimTest.XORConvergence_Adagrad 2022-11-23T01:57:54.7381428Z [ OK ] OptimTest.XORConvergence_Adagrad (507 ms) 2022-11-23T01:57:54.7381935Z [ RUN ] OptimTest.XORConvergence_RMSprop 2022-11-23T01:57:55.2368244Z [ OK ] OptimTest.XORConvergence_RMSprop (498 ms) 2022-11-23T01:57:55.2368674Z [ RUN ] OptimTest.XORConvergence_RMSpropWithMomentum 2022-11-23T01:57:56.6370996Z [ OK ] OptimTest.XORConvergence_RMSpropWithMomentum (1400 ms) 2022-11-23T01:57:56.6372129Z [ RUN ] OptimTest.XORConvergence_Adam 2022-11-23T01:57:57.1931454Z [ OK ] OptimTest.XORConvergence_Adam (556 ms) 2022-11-23T01:57:57.1932286Z [ RUN ] OptimTest.XORConvergence_AdamWithAmsgrad 2022-11-23T01:57:57.7494508Z [ OK ] OptimTest.XORConvergence_AdamWithAmsgrad (556 ms) 2022-11-23T01:57:57.7495381Z [ RUN ] OptimTest.ProducesPyTorchValues_Adam 2022-11-23T01:57:57.9417579Z [ OK ] OptimTest.ProducesPyTorchValues_Adam (192 ms) 2022-11-23T01:57:57.9418649Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay 2022-11-23T01:57:58.1395579Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (197 ms) 2022-11-23T01:57:58.1396458Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad 2022-11-23T01:57:58.3443189Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (204 ms) 2022-11-23T01:57:58.3444081Z [ RUN ] OptimTest.XORConvergence_AdamW 2022-11-23T01:57:58.9051253Z [ OK ] OptimTest.XORConvergence_AdamW (560 ms) 2022-11-23T01:57:58.9052070Z [ RUN ] OptimTest.XORConvergence_AdamWWithAmsgrad 2022-11-23T01:57:59.4677117Z [ OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (562 ms) 2022-11-23T01:57:59.4678098Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamW 2022-11-23T01:57:59.6670157Z [ OK ] OptimTest.ProducesPyTorchValues_AdamW (199 ms) 2022-11-23T01:57:59.6670994Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay 2022-11-23T01:57:59.8600348Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (192 ms) 2022-11-23T01:57:59.8601225Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad 2022-11-23T01:58:00.0668464Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (206 ms) 2022-11-23T01:58:00.0669244Z [ RUN ] OptimTest.ProducesPyTorchValues_Adagrad 2022-11-23T01:58:00.2294848Z [ OK ] OptimTest.ProducesPyTorchValues_Adagrad (162 ms) 2022-11-23T01:58:00.2295665Z [ RUN ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay 2022-11-23T01:58:00.3979094Z [ OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (168 ms) 2022-11-23T01:58:00.3979989Z [ RUN ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay 2022-11-23T01:58:00.5666978Z [ OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (168 ms) 2022-11-23T01:58:00.5667744Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSprop 2022-11-23T01:58:00.7384876Z [ OK ] OptimTest.ProducesPyTorchValues_RMSprop (171 ms) 2022-11-23T01:58:00.7385344Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay 2022-11-23T01:58:00.9171035Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (178 ms) 2022-11-23T01:58:00.9171531Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered 2022-11-23T01:58:01.1113230Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (194 ms) 2022-11-23T01:58:01.1113767Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum 2022-11-23T01:58:01.3139525Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (202 ms) 2022-11-23T01:58:01.3140012Z [ RUN ] OptimTest.ProducesPyTorchValues_SGD 2022-11-23T01:58:01.4453086Z [ OK ] OptimTest.ProducesPyTorchValues_SGD (131 ms) 2022-11-23T01:58:01.4453608Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay 2022-11-23T01:58:01.5839395Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (138 ms) 2022-11-23T01:58:01.5839908Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum 2022-11-23T01:58:01.7402511Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (156 ms) 2022-11-23T01:58:01.7403044Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum 2022-11-23T01:58:01.9019720Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (161 ms) 2022-11-23T01:58:01.9020184Z [ RUN ] OptimTest.ProducesPyTorchValues_LBFGS 2022-11-23T01:58:02.0508818Z [ OK ] OptimTest.ProducesPyTorchValues_LBFGS (148 ms) 2022-11-23T01:58:02.0509560Z [ RUN ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search 2022-11-23T01:58:02.7101630Z [ OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (659 ms) 2022-11-23T01:58:02.7102377Z [ RUN ] OptimTest.ZeroGrad 2022-11-23T01:58:02.7102676Z [ OK ] OptimTest.ZeroGrad (0 ms) 2022-11-23T01:58:02.7103028Z [ RUN ] OptimTest.ExternalVectorOfParameters 2022-11-23T01:58:02.7104214Z [ OK ] OptimTest.ExternalVectorOfParameters (0 ms) 2022-11-23T01:58:02.7104687Z [ RUN ] OptimTest.AddParameter_LBFGS 2022-11-23T01:58:02.7106159Z [ OK ] OptimTest.AddParameter_LBFGS (0 ms) 2022-11-23T01:58:02.7106526Z [ RUN ] OptimTest.CheckLRChange_StepLR_Adam 2022-11-23T01:58:02.7106954Z [ OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms) 2022-11-23T01:58:02.7107531Z [----------] 34 tests from OptimTest (10677 ms total) 2022-11-23T01:58:02.7107792Z 2022-11-23T01:58:02.7108037Z [----------] 29 tests from OrderedDictTest 2022-11-23T01:58:02.7108413Z [ RUN ] OrderedDictTest.IsEmptyAfterDefaultConstruction 2022-11-23T01:58:02.7108845Z [ OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms) 2022-11-23T01:58:02.7109299Z [ RUN ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent 2022-11-23T01:58:02.7109864Z [ OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms) 2022-11-23T01:58:02.7110338Z [ RUN ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent 2022-11-23T01:58:02.7110792Z [ OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms) 2022-11-23T01:58:02.7111297Z [ RUN ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent 2022-11-23T01:58:02.7133891Z [ OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (2 ms) 2022-11-23T01:58:02.7134364Z [ RUN ] OrderedDictTest.CanInitializeFromList 2022-11-23T01:58:02.7134744Z [ OK ] OrderedDictTest.CanInitializeFromList (0 ms) 2022-11-23T01:58:02.7135181Z [ RUN ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent 2022-11-23T01:58:02.7156737Z [ OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (2 ms) 2022-11-23T01:58:02.7157215Z [ RUN ] OrderedDictTest.FrontReturnsTheFirstItem 2022-11-23T01:58:02.7157603Z [ OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms) 2022-11-23T01:58:02.7157982Z [ RUN ] OrderedDictTest.FrontThrowsWhenEmpty 2022-11-23T01:58:02.7167810Z [ OK ] OrderedDictTest.FrontThrowsWhenEmpty (1 ms) 2022-11-23T01:58:02.7168397Z [ RUN ] OrderedDictTest.BackReturnsTheLastItem 2022-11-23T01:58:02.7168777Z [ OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms) 2022-11-23T01:58:02.7169143Z [ RUN ] OrderedDictTest.BackThrowsWhenEmpty 2022-11-23T01:58:02.7178063Z [ OK ] OrderedDictTest.BackThrowsWhenEmpty (1 ms) 2022-11-23T01:58:02.7178846Z [ RUN ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent 2022-11-23T01:58:02.7179368Z [ OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms) 2022-11-23T01:58:02.7179915Z [ RUN ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent 2022-11-23T01:58:02.7180733Z [ OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms) 2022-11-23T01:58:02.7181319Z [ RUN ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent 2022-11-23T01:58:02.7181916Z [ OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms) 2022-11-23T01:58:02.7182534Z [ RUN ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers 2022-11-23T01:58:02.7183270Z [ OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms) 2022-11-23T01:58:02.7183876Z [ RUN ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent 2022-11-23T01:58:02.7201808Z [ OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (2 ms) 2022-11-23T01:58:02.7202685Z [ RUN ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict 2022-11-23T01:58:02.7203212Z [ OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms) 2022-11-23T01:58:02.7203660Z [ RUN ] OrderedDictTest.UpdateAlsoChecksForDuplicates 2022-11-23T01:58:02.7214044Z [ OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (1 ms) 2022-11-23T01:58:02.7214477Z [ RUN ] OrderedDictTest.CanIterateItems 2022-11-23T01:58:02.7214833Z [ OK ] OrderedDictTest.CanIterateItems (0 ms) 2022-11-23T01:58:02.7215135Z [ RUN ] OrderedDictTest.EraseWorks 2022-11-23T01:58:02.7215449Z [ OK ] OrderedDictTest.EraseWorks (0 ms) 2022-11-23T01:58:02.7215786Z [ RUN ] OrderedDictTest.ClearMakesTheDictEmpty 2022-11-23T01:58:02.7216145Z [ OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms) 2022-11-23T01:58:02.7216497Z [ RUN ] OrderedDictTest.CanCopyConstruct 2022-11-23T01:58:02.7216835Z [ OK ] OrderedDictTest.CanCopyConstruct (0 ms) 2022-11-23T01:58:02.7217145Z [ RUN ] OrderedDictTest.CanCopyAssign 2022-11-23T01:58:02.7217473Z [ OK ] OrderedDictTest.CanCopyAssign (0 ms) 2022-11-23T01:58:02.7217796Z [ RUN ] OrderedDictTest.CanMoveConstruct 2022-11-23T01:58:02.7218133Z [ OK ] OrderedDictTest.CanMoveConstruct (0 ms) 2022-11-23T01:58:02.7218445Z [ RUN ] OrderedDictTest.CanMoveAssign 2022-11-23T01:58:02.7218764Z [ OK ] OrderedDictTest.CanMoveAssign (0 ms) 2022-11-23T01:58:02.7219101Z [ RUN ] OrderedDictTest.CanInsertWithBraces 2022-11-23T01:58:02.7219442Z [ OK ] OrderedDictTest.CanInsertWithBraces (0 ms) 2022-11-23T01:58:02.7219852Z [ RUN ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription 2022-11-23T01:58:02.7238499Z [ OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (2 ms) 2022-11-23T01:58:02.7239089Z [ RUN ] OrderedDictTest.KeysReturnsAllKeys 2022-11-23T01:58:02.7239453Z [ OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms) 2022-11-23T01:58:02.7239814Z [ RUN ] OrderedDictTest.ValuesReturnsAllValues 2022-11-23T01:58:02.7240185Z [ OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms) 2022-11-23T01:58:02.7240535Z [ RUN ] OrderedDictTest.ItemsReturnsAllItems 2022-11-23T01:58:02.7240894Z [ OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms) 2022-11-23T01:58:02.7241254Z [----------] 29 tests from OrderedDictTest (13 ms total) 2022-11-23T01:58:02.7241420Z 2022-11-23T01:58:02.7241545Z [----------] 13 tests from RNNTest 2022-11-23T01:58:02.7241819Z [ RUN ] RNNTest.CheckOutputSizes 2022-11-23T01:58:02.7308626Z [ OK ] RNNTest.CheckOutputSizes (6 ms) 2022-11-23T01:58:02.7308972Z [ RUN ] RNNTest.CheckOutputSizesProj 2022-11-23T01:58:02.7375558Z [ OK ] RNNTest.CheckOutputSizesProj (6 ms) 2022-11-23T01:58:02.7375931Z [ RUN ] RNNTest.CheckOutputValuesMatchPyTorch 2022-11-23T01:58:02.7379379Z [ OK ] RNNTest.CheckOutputValuesMatchPyTorch (0 ms) 2022-11-23T01:58:02.7379753Z [ RUN ] RNNTest.EndToEndLSTM 2022-11-23T01:58:04.4671102Z [ OK ] RNNTest.EndToEndLSTM (1728 ms) 2022-11-23T01:58:04.4671753Z [ RUN ] RNNTest.EndToEndLSTMProj 2022-11-23T01:58:06.1826057Z [ OK ] RNNTest.EndToEndLSTMProj (1715 ms) 2022-11-23T01:58:06.1826525Z [ RUN ] RNNTest.EndToEndGRU 2022-11-23T01:58:07.7151904Z [ OK ] RNNTest.EndToEndGRU (1532 ms) 2022-11-23T01:58:07.7152340Z [ RUN ] RNNTest.EndToEndRNNRelu 2022-11-23T01:58:08.5502495Z [ OK ] RNNTest.EndToEndRNNRelu (835 ms) 2022-11-23T01:58:08.5502882Z [ RUN ] RNNTest.EndToEndRNNTanh 2022-11-23T01:58:09.4907182Z [ OK ] RNNTest.EndToEndRNNTanh (940 ms) 2022-11-23T01:58:09.4907537Z [ RUN ] RNNTest.PrettyPrintRNNs 2022-11-23T01:58:09.4928095Z [ OK ] RNNTest.PrettyPrintRNNs (2 ms) 2022-11-23T01:58:09.4928509Z [ RUN ] RNNTest.BidirectionalFlattenParameters 2022-11-23T01:58:09.5034906Z [ OK ] RNNTest.BidirectionalFlattenParameters (10 ms) 2022-11-23T01:58:09.5035286Z [ RUN ] RNNTest.BidirectionalGRUReverseForward 2022-11-23T01:58:09.5048358Z [ OK ] RNNTest.BidirectionalGRUReverseForward (1 ms) 2022-11-23T01:58:09.5048789Z [ RUN ] RNNTest.BidirectionalLSTMReverseForward 2022-11-23T01:58:09.5060932Z [ OK ] RNNTest.BidirectionalLSTMReverseForward (1 ms) 2022-11-23T01:58:09.5061365Z [ RUN ] RNNTest.UsePackedSequenceAsInput 2022-11-23T01:58:09.5077025Z [ OK ] RNNTest.UsePackedSequenceAsInput (1 ms) 2022-11-23T01:58:09.5077478Z [----------] 13 tests from RNNTest (6783 ms total) 2022-11-23T01:58:09.5077705Z 2022-11-23T01:58:09.5078070Z [----------] 19 tests from SequentialTest 2022-11-23T01:58:09.5079515Z [ RUN ] SequentialTest.CanContainThings 2022-11-23T01:58:09.5080183Z [ OK ] SequentialTest.CanContainThings (0 ms) 2022-11-23T01:58:09.5080638Z [ RUN ] SequentialTest.ConstructsFromSharedPointer 2022-11-23T01:58:09.5081023Z [ OK ] SequentialTest.ConstructsFromSharedPointer (0 ms) 2022-11-23T01:58:09.5081415Z [ RUN ] SequentialTest.ConstructsFromConcreteType 2022-11-23T01:58:09.5081805Z [ OK ] SequentialTest.ConstructsFromConcreteType (0 ms) 2022-11-23T01:58:09.5082179Z [ RUN ] SequentialTest.ConstructsFromModuleHolder 2022-11-23T01:58:09.5082562Z [ OK ] SequentialTest.ConstructsFromModuleHolder (0 ms) 2022-11-23T01:58:09.5082934Z [ RUN ] SequentialTest.PushBackAddsAnElement 2022-11-23T01:58:09.5083287Z [ OK ] SequentialTest.PushBackAddsAnElement (0 ms) 2022-11-23T01:58:09.5083614Z [ RUN ] SequentialTest.AccessWithAt 2022-11-23T01:58:09.5104104Z [ OK ] SequentialTest.AccessWithAt (2 ms) 2022-11-23T01:58:09.5104651Z [ RUN ] SequentialTest.AccessWithPtr 2022-11-23T01:58:09.5127356Z [ OK ] SequentialTest.AccessWithPtr (2 ms) 2022-11-23T01:58:09.5128014Z [ RUN ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed 2022-11-23T01:58:09.5138978Z [ OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (1 ms) 2022-11-23T01:58:09.5139617Z [ RUN ] SequentialTest.CallingForwardChainsCorrectly 2022-11-23T01:58:09.5140036Z [ OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms) 2022-11-23T01:58:09.5140488Z [ RUN ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows 2022-11-23T01:58:09.5150030Z [ OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (1 ms) 2022-11-23T01:58:09.5150729Z [ RUN ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor 2022-11-23T01:58:09.5151430Z [ OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms) 2022-11-23T01:58:09.5151855Z [ RUN ] SequentialTest.ForwardReturnsTheLastValue 2022-11-23T01:58:09.5153479Z [ OK ] SequentialTest.ForwardReturnsTheLastValue (0 ms) 2022-11-23T01:58:09.5154201Z [ RUN ] SequentialTest.SanityCheckForHoldingStandardModules 2022-11-23T01:58:09.5155320Z [ OK ] SequentialTest.SanityCheckForHoldingStandardModules (0 ms) 2022-11-23T01:58:09.5156293Z [ RUN ] SequentialTest.ExtendPushesModulesFromOtherSequential 2022-11-23T01:58:09.5156768Z [ OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms) 2022-11-23T01:58:09.5157161Z [ RUN ] SequentialTest.HasReferenceSemantics 2022-11-23T01:58:09.5157518Z [ OK ] SequentialTest.HasReferenceSemantics (0 ms) 2022-11-23T01:58:09.5157841Z [ RUN ] SequentialTest.IsCloneable 2022-11-23T01:58:09.5160843Z [ OK ] SequentialTest.IsCloneable (0 ms) 2022-11-23T01:58:09.5161268Z [ RUN ] SequentialTest.RegistersElementsAsSubmodules 2022-11-23T01:58:09.5161686Z [ OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms) 2022-11-23T01:58:09.5162074Z [ RUN ] SequentialTest.PrettyPrintSequential 2022-11-23T01:58:09.5163597Z [ OK ] SequentialTest.PrettyPrintSequential (0 ms) 2022-11-23T01:58:09.5164064Z [ RUN ] SequentialTest.ModuleForwardMethodOptionalArg 2022-11-23T01:58:09.5193634Z [ OK ] SequentialTest.ModuleForwardMethodOptionalArg (2 ms) 2022-11-23T01:58:09.5194048Z [----------] 19 tests from SequentialTest (11 ms total) 2022-11-23T01:58:09.5194214Z 2022-11-23T01:58:09.5194372Z [----------] 11 tests from TransformerTest 2022-11-23T01:58:09.5194710Z [ RUN ] TransformerTest.TransformerEncoderLayer 2022-11-23T01:58:09.5282774Z [ OK ] TransformerTest.TransformerEncoderLayer (8 ms) 2022-11-23T01:58:09.5283188Z [ RUN ] TransformerTest.TransformerDecoderLayer 2022-11-23T01:58:09.5361220Z [ OK ] TransformerTest.TransformerDecoderLayer (7 ms) 2022-11-23T01:58:09.5361624Z [ RUN ] TransformerTest.TransformerDecoderLayer_gelu 2022-11-23T01:58:09.5406986Z [ OK ] TransformerTest.TransformerDecoderLayer_gelu (4 ms) 2022-11-23T01:58:09.5407355Z [ RUN ] TransformerTest.TransformerEncoder 2022-11-23T01:58:09.5569257Z [ OK ] TransformerTest.TransformerEncoder (16 ms) 2022-11-23T01:58:09.5569694Z [ RUN ] TransformerTest.PrettyPrintTransformerEncoderLayer 2022-11-23T01:58:09.5572551Z [ OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms) 2022-11-23T01:58:09.5573046Z [ RUN ] TransformerTest.PrettyPrintTransformerEncoder 2022-11-23T01:58:09.5581399Z [ OK ] TransformerTest.PrettyPrintTransformerEncoder (0 ms) 2022-11-23T01:58:09.5581961Z [ RUN ] TransformerTest.PrettyPrintTransformerDecoderLayer 2022-11-23T01:58:09.5582951Z [ OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (0 ms) 2022-11-23T01:58:09.5583402Z [ RUN ] TransformerTest.TransformerDecoder 2022-11-23T01:58:09.6011254Z [ OK ] TransformerTest.TransformerDecoder (42 ms) 2022-11-23T01:58:09.6011800Z [ RUN ] TransformerTest.PrettyPrintTransformerDecoder 2022-11-23T01:58:09.6020431Z [ OK ] TransformerTest.PrettyPrintTransformerDecoder (0 ms) 2022-11-23T01:58:09.6020912Z [ RUN ] TransformerTest.Transformer 2022-11-23T01:58:09.6176000Z [ OK ] TransformerTest.Transformer (15 ms) 2022-11-23T01:58:09.6176462Z [ RUN ] TransformerTest.TransformerArgsCorrectness 2022-11-23T01:58:09.6235987Z [ OK ] TransformerTest.TransformerArgsCorrectness (6 ms) 2022-11-23T01:58:09.6236669Z [----------] 11 tests from TransformerTest (104 ms total) 2022-11-23T01:58:09.6236836Z 2022-11-23T01:58:09.6237182Z [----------] 23 tests from SerializeTest 2022-11-23T01:58:09.6237452Z [ RUN ] SerializeTest.KeysFunc 2022-11-23T01:58:09.6240941Z [ OK ] SerializeTest.KeysFunc (0 ms) 2022-11-23T01:58:09.6241245Z [ RUN ] SerializeTest.TryReadFunc 2022-11-23T01:58:09.6243382Z [ OK ] SerializeTest.TryReadFunc (0 ms) 2022-11-23T01:58:09.6243677Z [ RUN ] SerializeTest.Basic 2022-11-23T01:58:09.6246258Z [ OK ] SerializeTest.Basic (0 ms) 2022-11-23T01:58:09.6246546Z [ RUN ] SerializeTest.MathBits 2022-11-23T01:58:09.6322610Z [ OK ] SerializeTest.MathBits (7 ms) 2022-11-23T01:58:09.6322913Z [ RUN ] SerializeTest.BasicToFile 2022-11-23T01:58:09.6326759Z [ OK ] SerializeTest.BasicToFile (0 ms) 2022-11-23T01:58:09.6327052Z [ RUN ] SerializeTest.BasicViaFunc 2022-11-23T01:58:09.6330095Z [ OK ] SerializeTest.BasicViaFunc (0 ms) 2022-11-23T01:58:09.6330403Z [ RUN ] SerializeTest.Resized 2022-11-23T01:58:09.6332346Z [ OK ] SerializeTest.Resized (0 ms) 2022-11-23T01:58:09.6332625Z [ RUN ] SerializeTest.Sliced 2022-11-23T01:58:09.6334782Z [ OK ] SerializeTest.Sliced (0 ms) 2022-11-23T01:58:09.6335329Z [ RUN ] SerializeTest.NonContiguous 2022-11-23T01:58:09.6337080Z [ OK ] SerializeTest.NonContiguous (0 ms) 2022-11-23T01:58:09.6337684Z [ RUN ] SerializeTest.ErrorOnMissingKey 2022-11-23T01:58:09.6417613Z [ OK ] SerializeTest.ErrorOnMissingKey (7 ms) 2022-11-23T01:58:09.6418131Z [ RUN ] SerializeTest.XOR 2022-11-23T01:58:09.8111689Z [ OK ] SerializeTest.XOR (169 ms) 2022-11-23T01:58:09.8112081Z [ RUN ] SerializeTest.Optim 2022-11-23T01:58:09.8134361Z [ OK ] SerializeTest.Optim (2 ms) 2022-11-23T01:58:09.8134686Z [ RUN ] SerializeTest.Optim_Adagrad 2022-11-23T01:58:09.8164077Z [ OK ] SerializeTest.Optim_Adagrad (2 ms) 2022-11-23T01:58:09.8164385Z [ RUN ] SerializeTest.Optim_SGD 2022-11-23T01:58:09.8190967Z [ OK ] SerializeTest.Optim_SGD (2 ms) 2022-11-23T01:58:09.8191255Z [ RUN ] SerializeTest.Optim_Adam 2022-11-23T01:58:09.8225188Z [ OK ] SerializeTest.Optim_Adam (3 ms) 2022-11-23T01:58:09.8225493Z [ RUN ] SerializeTest.Optim_AdamW 2022-11-23T01:58:09.8259269Z [ OK ] SerializeTest.Optim_AdamW (3 ms) 2022-11-23T01:58:09.8259596Z [ RUN ] SerializeTest.Optim_RMSprop 2022-11-23T01:58:09.8292464Z [ OK ] SerializeTest.Optim_RMSprop (3 ms) 2022-11-23T01:58:09.8292789Z [ RUN ] SerializeTest.Optim_LBFGS 2022-11-23T01:58:09.8325528Z [ OK ] SerializeTest.Optim_LBFGS (3 ms) 2022-11-23T01:58:09.8326063Z [ RUN ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers 2022-11-23T01:58:09.8329502Z [ OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (0 ms) 2022-11-23T01:58:09.8329994Z [ RUN ] SerializeTest.VectorOfTensors 2022-11-23T01:58:09.8331957Z [ OK ] SerializeTest.VectorOfTensors (0 ms) 2022-11-23T01:58:09.8332263Z [ RUN ] SerializeTest.IValue 2022-11-23T01:58:09.8334607Z [ OK ] SerializeTest.IValue (0 ms) 2022-11-23T01:58:09.8335076Z [ RUN ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule 2022-11-23T01:58:09.8336014Z [ OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (0 ms) 2022-11-23T01:58:09.8336556Z [ RUN ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule 2022-11-23T01:58:09.8341639Z [ OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (0 ms) 2022-11-23T01:58:09.8342289Z [----------] 23 tests from SerializeTest (210 ms total) 2022-11-23T01:58:09.8342745Z 2022-11-23T01:58:09.8343041Z [----------] 1 test from SpecialTest 2022-11-23T01:58:09.8343523Z [ RUN ] SpecialTest.special 2022-11-23T01:58:09.8344037Z [ OK ] SpecialTest.special (0 ms) 2022-11-23T01:58:09.8344473Z [----------] 1 test from SpecialTest (0 ms total) 2022-11-23T01:58:09.8344623Z 2022-11-23T01:58:09.8344764Z [----------] 5 tests from TestStatic 2022-11-23T01:58:09.8345088Z [ RUN ] TestStatic.AllOf 2022-11-23T01:58:09.8345337Z [ OK ] TestStatic.AllOf (0 ms) 2022-11-23T01:58:09.8345596Z [ RUN ] TestStatic.AnyOf 2022-11-23T01:58:09.8345861Z [ OK ] TestStatic.AnyOf (0 ms) 2022-11-23T01:58:09.8346125Z [ RUN ] TestStatic.EnableIfModule 2022-11-23T01:58:09.8346429Z [ OK ] TestStatic.EnableIfModule (0 ms) 2022-11-23T01:58:09.8346743Z [ RUN ] TestStatic.ReturnTypeOfForward 2022-11-23T01:58:09.8347063Z [ OK ] TestStatic.ReturnTypeOfForward (0 ms) 2022-11-23T01:58:09.8347404Z [ RUN ] TestStatic.Apply 2022-11-23T01:58:09.8347668Z [ OK ] TestStatic.Apply (0 ms) 2022-11-23T01:58:09.8347958Z [----------] 5 tests from TestStatic (0 ms total) 2022-11-23T01:58:09.8348093Z 2022-11-23T01:58:09.8348242Z [----------] 45 tests from TensorTest 2022-11-23T01:58:09.8348503Z [ RUN ] TensorTest.ToDtype 2022-11-23T01:58:09.8353606Z [ OK ] TensorTest.ToDtype (1 ms) 2022-11-23T01:58:09.8353961Z [ RUN ] TensorTest.ToTensorAndTensorAttributes 2022-11-23T01:58:09.8354337Z [ OK ] TensorTest.ToTensorAndTensorAttributes (0 ms) 2022-11-23T01:58:09.8354700Z [ RUN ] TensorTest.ToOptionsWithRequiresGrad 2022-11-23T01:58:09.8378386Z [ OK ] TensorTest.ToOptionsWithRequiresGrad (2 ms) 2022-11-23T01:58:09.8378933Z [ RUN ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame 2022-11-23T01:58:09.8379577Z [ OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms) 2022-11-23T01:58:09.8380060Z [ RUN ] TensorTest.AtTensorCtorScalar 2022-11-23T01:58:09.8380428Z [ OK ] TensorTest.AtTensorCtorScalar (0 ms) 2022-11-23T01:58:09.8380754Z [ RUN ] TensorTest.AtTensorCtorSingleDim 2022-11-23T01:58:09.8381098Z [ OK ] TensorTest.AtTensorCtorSingleDim (0 ms) 2022-11-23T01:58:09.8381452Z [ RUN ] TensorTest.AtTensorCastRealToComplex 2022-11-23T01:58:09.8381799Z [ OK ] TensorTest.AtTensorCastRealToComplex (0 ms) 2022-11-23T01:58:09.8382190Z [ RUN ] TensorTest.AtTensorCastComplexToRealErrorChecks 2022-11-23T01:58:09.8434405Z [ OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (5 ms) 2022-11-23T01:58:09.8435179Z [ RUN ] TensorTest.TorchTensorCtorScalarIntegralType 2022-11-23T01:58:09.8435950Z [ OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms) 2022-11-23T01:58:09.8436693Z [ RUN ] TensorTest.TorchTensorCtorScalarFloatingType 2022-11-23T01:58:09.8437448Z [ OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms) 2022-11-23T01:58:09.8438151Z [ RUN ] TensorTest.TorchTensorCtorScalarBoolType 2022-11-23T01:58:09.8438920Z [ OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms) 2022-11-23T01:58:09.8439665Z [ RUN ] TensorTest.TorchTensorCtorSingleDimIntegralType 2022-11-23T01:58:09.8440446Z [ OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms) 2022-11-23T01:58:09.8441231Z [ RUN ] TensorTest.TorchTensorCtorSingleDimFloatingType 2022-11-23T01:58:09.8442025Z [ OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms) 2022-11-23T01:58:09.8442758Z [ RUN ] TensorTest.TorchTensorCtorSingleDimBoolType 2022-11-23T01:58:09.8443662Z [ OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms) 2022-11-23T01:58:09.8444418Z [ RUN ] TensorTest.TorchTensorCtorMultiDimIntegralType 2022-11-23T01:58:09.8445407Z [ OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (0 ms) 2022-11-23T01:58:09.8446140Z [ RUN ] TensorTest.TorchTensorCtorMultiDimFloatingType 2022-11-23T01:58:09.8446831Z [ OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (0 ms) 2022-11-23T01:58:09.8447706Z [ RUN ] TensorTest.TorchTensorCtorMultiDimBoolType 2022-11-23T01:58:09.8448444Z [ OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms) 2022-11-23T01:58:09.8449143Z [ RUN ] TensorTest.TorchTensorCtorMultiDimWithOptions 2022-11-23T01:58:09.8449922Z [ OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms) 2022-11-23T01:58:09.8450690Z [ RUN ] TensorTest.TorchTensorCtorMultiDimErrorChecks 2022-11-23T01:58:09.8503264Z [ OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (5 ms) 2022-11-23T01:58:09.8504038Z [ RUN ] TensorTest.TorchTensorCastRealToComplex 2022-11-23T01:58:09.8504743Z [ OK ] TensorTest.TorchTensorCastRealToComplex (0 ms) 2022-11-23T01:58:09.8505494Z [ RUN ] TensorTest.TorchTensorCastComplexToRealErrorChecks 2022-11-23T01:58:09.8506177Z [W Copy.cpp:275] Warning: Casting complex values to real discards the imaginary part (function operator()) 2022-11-23T01:58:09.8517356Z [ OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (1 ms) 2022-11-23T01:58:09.8518062Z [ RUN ] TensorTest.TorchTensorCtorZeroSizedDim 2022-11-23T01:58:09.8518762Z [ OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms) 2022-11-23T01:58:09.8519407Z [ RUN ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype 2022-11-23T01:58:09.8520183Z [ OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms) 2022-11-23T01:58:09.8521093Z [ RUN ] TensorTest.TorchTensorCtorWithNonDtypeOptions 2022-11-23T01:58:09.8521868Z [ OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms) 2022-11-23T01:58:09.8522444Z [ RUN ] TensorTest.Arange 2022-11-23T01:58:09.8522922Z [ OK ] TensorTest.Arange (0 ms) 2022-11-23T01:58:09.8523521Z [ RUN ] TensorTest.PrettyPrintTensorDataContainer 2022-11-23T01:58:09.8524220Z [ OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms) 2022-11-23T01:58:09.8525228Z [ RUN ] TensorTest.TensorDataContainerCallingAccessorOfWrongType 2022-11-23T01:58:09.8585500Z [ OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (6 ms) 2022-11-23T01:58:09.8587215Z [ RUN ] TensorTest.FromBlob 2022-11-23T01:58:09.8587621Z [ OK ] TensorTest.FromBlob (0 ms) 2022-11-23T01:58:09.8588172Z [ RUN ] TensorTest.FromBlobUsesDeleter 2022-11-23T01:58:09.8588650Z [ OK ] TensorTest.FromBlobUsesDeleter (0 ms) 2022-11-23T01:58:09.8588964Z [ RUN ] TensorTest.FromBlobWithStrides 2022-11-23T01:58:09.8589295Z [ OK ] TensorTest.FromBlobWithStrides (0 ms) 2022-11-23T01:58:09.8589580Z [ RUN ] TensorTest.Item 2022-11-23T01:58:09.8589830Z [ OK ] TensorTest.Item (0 ms) 2022-11-23T01:58:09.8590096Z [ RUN ] TensorTest.DataPtr 2022-11-23T01:58:09.8590372Z [ OK ] TensorTest.DataPtr (0 ms) 2022-11-23T01:58:09.8590620Z [ RUN ] TensorTest.Data 2022-11-23T01:58:09.8590887Z [ OK ] TensorTest.Data (0 ms) 2022-11-23T01:58:09.8591170Z [ RUN ] TensorTest.BackwardAndGrad 2022-11-23T01:58:09.8591484Z [ OK ] TensorTest.BackwardAndGrad (0 ms) 2022-11-23T01:58:09.8591797Z [ RUN ] TensorTest.BackwardCreatesOnesGrad 2022-11-23T01:58:09.8592146Z [ OK ] TensorTest.BackwardCreatesOnesGrad (0 ms) 2022-11-23T01:58:09.8592497Z [ RUN ] TensorTest.BackwardNonScalarOutputs 2022-11-23T01:58:09.8620919Z [ OK ] TensorTest.BackwardNonScalarOutputs (3 ms) 2022-11-23T01:58:09.8621518Z [ RUN ] TensorTest.IsLeaf 2022-11-23T01:58:09.8622030Z [ OK ] TensorTest.IsLeaf (0 ms) 2022-11-23T01:58:09.8622458Z [ RUN ] TensorTest.OutputNr 2022-11-23T01:58:09.8622729Z [ OK ] TensorTest.OutputNr (0 ms) 2022-11-23T01:58:09.8623004Z [ RUN ] TensorTest.Version 2022-11-23T01:58:09.8623364Z [ OK ] TensorTest.Version (0 ms) 2022-11-23T01:58:09.8623620Z [ RUN ] TensorTest.Detach 2022-11-23T01:58:09.8623891Z [ OK ] TensorTest.Detach (0 ms) 2022-11-23T01:58:09.8624171Z [ RUN ] TensorTest.DetachInplace 2022-11-23T01:58:09.8624465Z [ OK ] TensorTest.DetachInplace (0 ms) 2022-11-23T01:58:09.8624741Z [ RUN ] TensorTest.SetData 2022-11-23T01:58:09.8625010Z [ OK ] TensorTest.SetData (0 ms) 2022-11-23T01:58:09.8625302Z [ RUN ] TensorTest.RequiresGradInplace 2022-11-23T01:58:09.8647609Z [ OK ] TensorTest.RequiresGradInplace (2 ms) 2022-11-23T01:58:09.8648005Z [ RUN ] TensorTest.StdDimension 2022-11-23T01:58:09.8648584Z [ OK ] TensorTest.StdDimension (0 ms) 2022-11-23T01:58:09.8648923Z [ RUN ] TensorTest.ReshapeAlias 2022-11-23T01:58:09.8651229Z [ OK ] TensorTest.ReshapeAlias (0 ms) 2022-11-23T01:58:09.8651567Z [----------] 45 tests from TensorTest (30 ms total) 2022-11-23T01:58:09.8651731Z 2022-11-23T01:58:09.8651894Z [----------] 36 tests from TensorIndexingTest 2022-11-23T01:58:09.8652170Z [ RUN ] TensorIndexingTest.Slice 2022-11-23T01:58:09.8652467Z [ OK ] TensorIndexingTest.Slice (0 ms) 2022-11-23T01:58:09.8652777Z [ RUN ] TensorIndexingTest.TensorIndex 2022-11-23T01:58:09.8664452Z [ OK ] TensorIndexingTest.TensorIndex (1 ms) 2022-11-23T01:58:09.8664810Z [ RUN ] TensorIndexingTest.TestNoIndices 2022-11-23T01:58:09.8752250Z [ OK ] TensorIndexingTest.TestNoIndices (8 ms) 2022-11-23T01:58:09.8752710Z [ RUN ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor 2022-11-23T01:58:09.8754090Z [ OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (0 ms) 2022-11-23T01:58:09.8754731Z [ RUN ] TensorIndexingTest.TestSingleInt 2022-11-23T01:58:09.8755116Z [ OK ] TensorIndexingTest.TestSingleInt (0 ms) 2022-11-23T01:58:09.8755499Z [ RUN ] TensorIndexingTest.TestMultipleInt 2022-11-23T01:58:09.8756005Z [ OK ] TensorIndexingTest.TestMultipleInt (0 ms) 2022-11-23T01:58:09.8756430Z [ RUN ] TensorIndexingTest.TestNone 2022-11-23T01:58:09.8756748Z [ OK ] TensorIndexingTest.TestNone (0 ms) 2022-11-23T01:58:09.8757106Z [ RUN ] TensorIndexingTest.TestStep 2022-11-23T01:58:09.8757517Z [ OK ] TensorIndexingTest.TestStep (0 ms) 2022-11-23T01:58:09.8757968Z [ RUN ] TensorIndexingTest.TestStepAssignment 2022-11-23T01:58:09.8758591Z [ OK ] TensorIndexingTest.TestStepAssignment (0 ms) 2022-11-23T01:58:09.8758950Z [ RUN ] TensorIndexingTest.TestBoolIndices 2022-11-23T01:58:09.8760998Z [ OK ] TensorIndexingTest.TestBoolIndices (0 ms) 2022-11-23T01:58:09.8761572Z [ RUN ] TensorIndexingTest.TestBoolIndicesAccumulate 2022-11-23T01:58:09.8762162Z [ OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms) 2022-11-23T01:58:09.8762653Z [ RUN ] TensorIndexingTest.TestMultipleBoolIndices 2022-11-23T01:58:09.8763184Z [ OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms) 2022-11-23T01:58:09.8763658Z [ RUN ] TensorIndexingTest.TestByteMask 2022-11-23T01:58:09.8764099Z [ OK ] TensorIndexingTest.TestByteMask (0 ms) 2022-11-23T01:58:09.8764943Z [ RUN ] TensorIndexingTest.TestByteMaskAccumulate 2022-11-23T01:58:09.8765592Z [ OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms) 2022-11-23T01:58:09.8766142Z [ RUN ] TensorIndexingTest.TestMultipleByteMask 2022-11-23T01:58:09.8766638Z [ OK ] TensorIndexingTest.TestMultipleByteMask (0 ms) 2022-11-23T01:58:09.8767100Z [ RUN ] TensorIndexingTest.TestByteMask2d 2022-11-23T01:58:09.8767738Z [ OK ] TensorIndexingTest.TestByteMask2d (0 ms) 2022-11-23T01:58:09.8768245Z [ RUN ] TensorIndexingTest.TestIntIndices 2022-11-23T01:58:09.8768720Z [ OK ] TensorIndexingTest.TestIntIndices (0 ms) 2022-11-23T01:58:09.8769209Z [ RUN ] TensorIndexingTest.TestIntIndices2d 2022-11-23T01:58:09.8769711Z [ OK ] TensorIndexingTest.TestIntIndices2d (0 ms) 2022-11-23T01:58:09.8770203Z [ RUN ] TensorIndexingTest.TestIntIndicesBroadcast 2022-11-23T01:58:09.8770608Z [ OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms) 2022-11-23T01:58:09.8770960Z [ RUN ] TensorIndexingTest.TestEmptyIndex 2022-11-23T01:58:09.8771305Z [ OK ] TensorIndexingTest.TestEmptyIndex (0 ms) 2022-11-23T01:58:09.8771655Z [ RUN ] TensorIndexingTest.TestEmptyNdimIndex 2022-11-23T01:58:09.8828955Z [ OK ] TensorIndexingTest.TestEmptyNdimIndex (5 ms) 2022-11-23T01:58:09.8829336Z [ RUN ] TensorIndexingTest.TestEmptyNdimIndexBool 2022-11-23T01:58:09.8850267Z [ OK ] TensorIndexingTest.TestEmptyNdimIndexBool (2 ms) 2022-11-23T01:58:09.8850719Z [ RUN ] TensorIndexingTest.TestEmptySlice 2022-11-23T01:58:09.8851110Z [ OK ] TensorIndexingTest.TestEmptySlice (0 ms) 2022-11-23T01:58:09.8851618Z [ RUN ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices 2022-11-23T01:58:09.8852083Z [ OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms) 2022-11-23T01:58:09.8852518Z [ RUN ] TensorIndexingTest.TestIndexSetitemBoolsSlices 2022-11-23T01:58:09.8941702Z [ OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (8 ms) 2022-11-23T01:58:09.8942307Z [ RUN ] TensorIndexingTest.TestIndexScalarWithBoolMask 2022-11-23T01:58:09.8942777Z [ OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms) 2022-11-23T01:58:09.8943188Z [ RUN ] TensorIndexingTest.TestSetitemExpansionError 2022-11-23T01:58:09.9057081Z [ OK ] TensorIndexingTest.TestSetitemExpansionError (11 ms) 2022-11-23T01:58:09.9057492Z [ RUN ] TensorIndexingTest.TestGetitemScalars 2022-11-23T01:58:09.9165980Z [ OK ] TensorIndexingTest.TestGetitemScalars (10 ms) 2022-11-23T01:58:09.9166365Z [ RUN ] TensorIndexingTest.TestSetitemScalars 2022-11-23T01:58:09.9274687Z [ OK ] TensorIndexingTest.TestSetitemScalars (10 ms) 2022-11-23T01:58:09.9275257Z [ RUN ] TensorIndexingTest.TestBasicAdvancedCombined 2022-11-23T01:58:09.9275833Z [ OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms) 2022-11-23T01:58:09.9276384Z [ RUN ] TensorIndexingTest.TestIntAssignment 2022-11-23T01:58:09.9276756Z [ OK ] TensorIndexingTest.TestIntAssignment (0 ms) 2022-11-23T01:58:09.9277255Z [ RUN ] TensorIndexingTest.TestByteTensorAssignment 2022-11-23T01:58:09.9278804Z [ OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms) 2022-11-23T01:58:09.9279496Z [ RUN ] TensorIndexingTest.TestVariableSlicing 2022-11-23T01:58:09.9280164Z [ OK ] TensorIndexingTest.TestVariableSlicing (0 ms) 2022-11-23T01:58:09.9280680Z [ RUN ] TensorIndexingTest.TestEllipsisTensor 2022-11-23T01:58:09.9281039Z [ OK ] TensorIndexingTest.TestEllipsisTensor (0 ms) 2022-11-23T01:58:09.9281406Z [ RUN ] TensorIndexingTest.TestOutOfBoundIndex 2022-11-23T01:58:09.9377785Z [ OK ] TensorIndexingTest.TestOutOfBoundIndex (9 ms) 2022-11-23T01:58:09.9378183Z [ RUN ] TensorIndexingTest.TestZeroDimIndex 2022-11-23T01:58:09.9398348Z [ OK ] TensorIndexingTest.TestZeroDimIndex (2 ms) 2022-11-23T01:58:09.9399104Z [----------] 36 tests from TensorIndexingTest (74 ms total) 2022-11-23T01:58:09.9399297Z 2022-11-23T01:58:09.9399450Z [----------] 18 tests from NumpyTests 2022-11-23T01:58:09.9399826Z [ RUN ] NumpyTests.TestNoneIndex 2022-11-23T01:58:09.9400130Z [ OK ] NumpyTests.TestNoneIndex (0 ms) 2022-11-23T01:58:09.9400446Z [ RUN ] NumpyTests.TestEmptyFancyIndex 2022-11-23T01:58:09.9451907Z [ OK ] NumpyTests.TestEmptyFancyIndex (5 ms) 2022-11-23T01:58:09.9452482Z [ RUN ] NumpyTests.TestEllipsisIndex 2022-11-23T01:58:09.9453094Z [ OK ] NumpyTests.TestEllipsisIndex (0 ms) 2022-11-23T01:58:09.9453439Z [ RUN ] NumpyTests.TestSingleIntIndex 2022-11-23T01:58:09.9475047Z [ OK ] NumpyTests.TestSingleIntIndex (2 ms) 2022-11-23T01:58:09.9475748Z [ RUN ] NumpyTests.TestSingleBoolIndex 2022-11-23T01:58:09.9476313Z [ OK ] NumpyTests.TestSingleBoolIndex (0 ms) 2022-11-23T01:58:09.9476655Z [ RUN ] NumpyTests.TestBooleanShapeMismatch 2022-11-23T01:58:09.9686267Z [ OK ] NumpyTests.TestBooleanShapeMismatch (20 ms) 2022-11-23T01:58:09.9686821Z [ RUN ] NumpyTests.TestBooleanIndexingOnedim 2022-11-23T01:58:09.9687586Z [ OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms) 2022-11-23T01:58:09.9838669Z [ RUN ] NumpyTests.TestBooleanAssignmentValueMismatch 2022-11-23T01:58:09.9839294Z [ OK ] NumpyTests.TestBooleanAssignmentValueMismatch (15 ms) 2022-11-23T01:58:09.9839801Z [ RUN ] NumpyTests.TestBooleanIndexingTwodim 2022-11-23T01:58:09.9840179Z [ OK ] NumpyTests.TestBooleanIndexingTwodim (0 ms) 2022-11-23T01:58:09.9840598Z [ RUN ] NumpyTests.TestBooleanIndexingWeirdness 2022-11-23T01:58:09.9950687Z [ OK ] NumpyTests.TestBooleanIndexingWeirdness (10 ms) 2022-11-23T01:58:09.9951097Z [ RUN ] NumpyTests.TestBooleanIndexingWeirdnessTensors 2022-11-23T01:58:10.0061576Z [ OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (11 ms) 2022-11-23T01:58:10.0062297Z [ RUN ] NumpyTests.TestBooleanIndexingAlldims 2022-11-23T01:58:10.0062748Z [ OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms) 2022-11-23T01:58:10.0063187Z [ RUN ] NumpyTests.TestBooleanListIndexing 2022-11-23T01:58:10.0063712Z [ OK ] NumpyTests.TestBooleanListIndexing (0 ms) 2022-11-23T01:58:10.0064375Z [ RUN ] NumpyTests.TestEverythingReturnsViews 2022-11-23T01:58:10.0064798Z [ OK ] NumpyTests.TestEverythingReturnsViews (0 ms) 2022-11-23T01:58:10.0065155Z [ RUN ] NumpyTests.TestBroaderrorsIndexing 2022-11-23T01:58:10.0283330Z [ OK ] NumpyTests.TestBroaderrorsIndexing (21 ms) 2022-11-23T01:58:10.0283747Z [ RUN ] NumpyTests.TestTrivialFancyOutOfBounds 2022-11-23T01:58:10.0555813Z [ OK ] NumpyTests.TestTrivialFancyOutOfBounds (27 ms) 2022-11-23T01:58:10.0556365Z [ RUN ] NumpyTests.TestIndexIsLarger 2022-11-23T01:58:10.0556810Z [ OK ] NumpyTests.TestIndexIsLarger (0 ms) 2022-11-23T01:58:10.0557332Z [ RUN ] NumpyTests.TestBroadcastSubspace 2022-11-23T01:58:10.0557990Z [ OK ] NumpyTests.TestBroadcastSubspace (0 ms) 2022-11-23T01:58:10.0558547Z [----------] 18 tests from NumpyTests (115 ms total) 2022-11-23T01:58:10.0558822Z 2022-11-23T01:58:10.0559126Z [----------] 5 tests from TensorOptionsTest 2022-11-23T01:58:10.0559737Z [ RUN ] TensorOptionsTest.DefaultsToTheRightValues 2022-11-23T01:58:10.0560798Z [ OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms) 2022-11-23T01:58:10.0561645Z [ RUN ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions 2022-11-23T01:58:10.0562579Z [ OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms) 2022-11-23T01:58:10.0563052Z [ RUN ] TensorOptionsTest.ConstructsWellFromCPUTypes 2022-11-23T01:58:10.0563456Z [ OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms) 2022-11-23T01:58:10.0563954Z [ RUN ] TensorOptionsTest.ConstructsWellFromCPUTensors 2022-11-23T01:58:10.0564395Z [ OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms) 2022-11-23T01:58:10.0564963Z [ RUN ] TensorOptionsTest.ConstructsWellFromVariables 2022-11-23T01:58:10.0565374Z [ OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms) 2022-11-23T01:58:10.0565765Z [----------] 5 tests from TensorOptionsTest (0 ms total) 2022-11-23T01:58:10.0565930Z 2022-11-23T01:58:10.0566076Z [----------] 1 test from DeviceTest 2022-11-23T01:58:10.0566383Z [ RUN ] DeviceTest.ParsesCorrectlyFromString 2022-11-23T01:58:10.0644731Z [ OK ] DeviceTest.ParsesCorrectlyFromString (8 ms) 2022-11-23T01:58:10.0645519Z [----------] 1 test from DeviceTest (8 ms total) 2022-11-23T01:58:10.0645748Z 2022-11-23T01:58:10.0661388Z [----------] 3 tests from DefaultDtypeTest 2022-11-23T01:58:10.0661873Z [ RUN ] DefaultDtypeTest.CanSetAndGetDefaultDtype 2022-11-23T01:58:10.0662403Z [ OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms) 2022-11-23T01:58:10.0662943Z [ RUN ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault 2022-11-23T01:58:10.0663521Z [ OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms) 2022-11-23T01:58:10.0664067Z [ RUN ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype 2022-11-23T01:58:10.0664648Z [ OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms) 2022-11-23T01:58:10.0665152Z [----------] 3 tests from DefaultDtypeTest (0 ms total) 2022-11-23T01:58:10.0665357Z 2022-11-23T01:58:10.0665545Z [----------] 1 test from TorchIncludeTest 2022-11-23T01:58:10.0665950Z [ RUN ] TorchIncludeTest.GetSetNumThreads 2022-11-23T01:58:10.0788046Z [ OK ] TorchIncludeTest.GetSetNumThreads (14 ms) 2022-11-23T01:58:10.0788723Z [----------] 1 test from TorchIncludeTest (14 ms total) 2022-11-23T01:58:10.0788887Z 2022-11-23T01:58:10.0789053Z [----------] 28 tests from InferenceModeTest 2022-11-23T01:58:10.0789369Z [ RUN ] InferenceModeTest.TestTLSState 2022-11-23T01:58:10.0789689Z [ OK ] InferenceModeTest.TestTLSState (0 ms) 2022-11-23T01:58:10.0790062Z [ RUN ] InferenceModeTest.TestInferenceTensorCreation 2022-11-23T01:58:10.0790481Z [ OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms) 2022-11-23T01:58:10.0790882Z [ RUN ] InferenceModeTest.TestExistingAutogradSession 2022-11-23T01:58:10.0859366Z [ OK ] InferenceModeTest.TestExistingAutogradSession (7 ms) 2022-11-23T01:58:10.0860163Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp 2022-11-23T01:58:10.0860970Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms) 2022-11-23T01:58:10.0861650Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp 2022-11-23T01:58:10.0862324Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms) 2022-11-23T01:58:10.0862973Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp 2022-11-23T01:58:10.0863612Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms) 2022-11-23T01:58:10.0864246Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp 2022-11-23T01:58:10.0865118Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms) 2022-11-23T01:58:10.0865771Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp 2022-11-23T01:58:10.0914588Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (5 ms) 2022-11-23T01:58:10.0915444Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp 2022-11-23T01:58:10.0916587Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms) 2022-11-23T01:58:10.0917170Z [ RUN ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode 2022-11-23T01:58:10.0917692Z [ OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms) 2022-11-23T01:58:10.0918210Z [ RUN ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode 2022-11-23T01:58:10.0918813Z [ OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms) 2022-11-23T01:58:10.0919321Z [ RUN ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode 2022-11-23T01:58:10.0919822Z [ OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms) 2022-11-23T01:58:10.0920318Z [ RUN ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode 2022-11-23T01:58:10.0948865Z [ OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (3 ms) 2022-11-23T01:58:10.0949470Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp 2022-11-23T01:58:10.0981060Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (3 ms) 2022-11-23T01:58:10.0981585Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp 2022-11-23T01:58:10.1062923Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (8 ms) 2022-11-23T01:58:10.1063585Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp 2022-11-23T01:58:10.1064087Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms) 2022-11-23T01:58:10.1064537Z [ RUN ] InferenceModeTest.TestHandleDirectViewOnRebase 2022-11-23T01:58:10.1095333Z [ OK ] InferenceModeTest.TestHandleDirectViewOnRebase (3 ms) 2022-11-23T01:58:10.1095938Z [ RUN ] InferenceModeTest.TestHandleInDirectViewOnRebase 2022-11-23T01:58:10.1117638Z [ OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (2 ms) 2022-11-23T01:58:10.1118232Z [ RUN ] InferenceModeTest.TestCreationMetaPropagation 2022-11-23T01:58:10.1179362Z [ OK ] InferenceModeTest.TestCreationMetaPropagation (6 ms) 2022-11-23T01:58:10.1179793Z [ RUN ] InferenceModeTest.TestCreationMetaPropagationInput 2022-11-23T01:58:10.1301973Z [ OK ] InferenceModeTest.TestCreationMetaPropagationInput (12 ms) 2022-11-23T01:58:10.1373488Z [ RUN ] InferenceModeTest.TestInplaceCopyOnInferenceTensor 2022-11-23T01:58:10.1374027Z [ OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (7 ms) 2022-11-23T01:58:10.1374459Z [ RUN ] InferenceModeTest.TestSetRequiresGradInNormalMode 2022-11-23T01:58:10.1384587Z [ OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (1 ms) 2022-11-23T01:58:10.1385019Z [ RUN ] InferenceModeTest.TestAccessVersionCounter 2022-11-23T01:58:10.1418108Z [ OK ] InferenceModeTest.TestAccessVersionCounter (3 ms) 2022-11-23T01:58:10.1418676Z [ RUN ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor 2022-11-23T01:58:10.1490201Z [ OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (7 ms) 2022-11-23T01:58:10.1491060Z [ RUN ] InferenceModeTest.TestComplexViewInInferenceMode 2022-11-23T01:58:10.1491666Z [ OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms) 2022-11-23T01:58:10.1492748Z [ RUN ] InferenceModeTest.TestComplexViewInNormalMode 2022-11-23T01:58:10.1493515Z [ OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms) 2022-11-23T01:58:10.1494202Z [ RUN ] InferenceModeTest.TestCustomFunction 2022-11-23T01:58:10.1494851Z [ OK ] InferenceModeTest.TestCustomFunction (0 ms) 2022-11-23T01:58:10.1495636Z [ RUN ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning 2022-11-23T01:58:10.1496695Z [ OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms) 2022-11-23T01:58:10.1497452Z [----------] 28 tests from InferenceModeTest (70 ms total) 2022-11-23T01:58:10.1497742Z 2022-11-23T01:58:10.1498002Z [----------] 4 tests from GradModeTest 2022-11-23T01:58:10.1498590Z [ RUN ] GradModeTest.TestRequiresGradFunctionalOp 2022-11-23T01:58:10.1499477Z [ OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms) 2022-11-23T01:58:10.1500150Z [ RUN ] GradModeTest.TestRequiresGradInplaceOp 2022-11-23T01:58:10.1500819Z [ OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms) 2022-11-23T01:58:10.1501460Z [ RUN ] GradModeTest.TestRequiresGradViewOp 2022-11-23T01:58:10.1502083Z [ OK ] GradModeTest.TestRequiresGradViewOp (0 ms) 2022-11-23T01:58:10.1502742Z [ RUN ] GradModeTest.TestRequiresGradViewOpExiting 2022-11-23T01:58:10.1527458Z [ OK ] GradModeTest.TestRequiresGradViewOpExiting (3 ms) 2022-11-23T01:58:10.1528106Z [----------] 4 tests from GradModeTest (3 ms total) 2022-11-23T01:58:10.1528341Z 2022-11-23T01:58:10.1528598Z [----------] 3 tests from OperationTest 2022-11-23T01:58:10.1529056Z [ RUN ] OperationTest.Lerp 2022-11-23T01:58:10.1536359Z [ OK ] OperationTest.Lerp (0 ms) 2022-11-23T01:58:10.1536826Z [ RUN ] OperationTest.Cross 2022-11-23T01:58:10.1569251Z [ OK ] OperationTest.Cross (3 ms) 2022-11-23T01:58:10.1569813Z [ RUN ] OperationTest.Linear_out 2022-11-23T01:58:10.1573004Z [ OK ] OperationTest.Linear_out (0 ms) 2022-11-23T01:58:10.1573387Z [----------] 3 tests from OperationTest (4 ms total) 2022-11-23T01:58:10.1573558Z 2022-11-23T01:58:10.1573729Z [----------] Global test environment tear-down 2022-11-23T01:58:10.1674437Z [==========] 992 tests from 48 test suites ran. (43388 ms total) 2022-11-23T01:58:10.1674724Z [ PASSED ] 992 tests. 2022-11-23T01:58:10.2561369Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_tensorexpr --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml 2022-11-23T01:58:10.6336417Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T01:58:10.6340535Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T01:58:10.6341088Z [==========] Running 801 tests from 25 test suites. 2022-11-23T01:58:10.6341575Z [----------] Global test environment set-up. 2022-11-23T01:58:10.6341852Z [----------] 1 test from Approx 2022-11-23T01:58:10.6342087Z [ RUN ] Approx.log_vml 2022-11-23T01:58:11.9031348Z [ OK ] Approx.log_vml (1268 ms) 2022-11-23T01:58:11.9031710Z [----------] 1 test from Approx (1268 ms total) 2022-11-23T01:58:11.9031865Z 2022-11-23T01:58:11.9032000Z [----------] 34 tests from ATen 2022-11-23T01:58:11.9032319Z [ RUN ] ATen._cast_Float 2022-11-23T01:58:11.9043212Z [ OK ] ATen._cast_Float (1 ms) 2022-11-23T01:58:11.9043661Z [ RUN ] ATen.negInt 2022-11-23T01:58:11.9047578Z [ OK ] ATen.negInt (0 ms) 2022-11-23T01:58:11.9048023Z [ RUN ] ATen.negFloat 2022-11-23T01:58:11.9052123Z [ OK ] ATen.negFloat (0 ms) 2022-11-23T01:58:11.9052562Z [ RUN ] ATen.addInt 2022-11-23T01:58:11.9059759Z [ OK ] ATen.addInt (0 ms) 2022-11-23T01:58:11.9060197Z [ RUN ] ATen.addFloat 2022-11-23T01:58:11.9066856Z [ OK ] ATen.addFloat (0 ms) 2022-11-23T01:58:11.9067294Z [ RUN ] ATen.subInt 2022-11-23T01:58:11.9073978Z [ OK ] ATen.subInt (0 ms) 2022-11-23T01:58:11.9074397Z [ RUN ] ATen.subFloat 2022-11-23T01:58:11.9081486Z [ OK ] ATen.subFloat (0 ms) 2022-11-23T01:58:11.9082086Z [ RUN ] ATen.lerp 2022-11-23T01:58:11.9090640Z [ OK ] ATen.lerp (0 ms) 2022-11-23T01:58:11.9091088Z [ RUN ] ATen.addcmulInt 2022-11-23T01:58:11.9099549Z [ OK ] ATen.addcmulInt (0 ms) 2022-11-23T01:58:11.9100000Z [ RUN ] ATen.addcmulFloat 2022-11-23T01:58:11.9108743Z [ OK ] ATen.addcmulFloat (0 ms) 2022-11-23T01:58:11.9109204Z [ RUN ] ATen.mulInt 2022-11-23T01:58:11.9113974Z [ OK ] ATen.mulInt (0 ms) 2022-11-23T01:58:11.9114403Z [ RUN ] ATen.mulFloat 2022-11-23T01:58:11.9119741Z [ OK ] ATen.mulFloat (0 ms) 2022-11-23T01:58:11.9120186Z [ RUN ] ATen.divInt 2022-11-23T01:58:11.9125256Z [ OK ] ATen.divInt (0 ms) 2022-11-23T01:58:11.9125702Z [ RUN ] ATen.divFloat 2022-11-23T01:58:11.9130779Z [ OK ] ATen.divFloat (0 ms) 2022-11-23T01:58:11.9131219Z [ RUN ] ATen.maxInt 2022-11-23T01:58:11.9136190Z [ OK ] ATen.maxInt (0 ms) 2022-11-23T01:58:11.9136631Z [ RUN ] ATen.maxFloat 2022-11-23T01:58:11.9141817Z [ OK ] ATen.maxFloat (0 ms) 2022-11-23T01:58:11.9142240Z [ RUN ] ATen.minInt 2022-11-23T01:58:11.9147206Z [ OK ] ATen.minInt (0 ms) 2022-11-23T01:58:11.9147645Z [ RUN ] ATen.minFloat 2022-11-23T01:58:11.9152720Z [ OK ] ATen.minFloat (0 ms) 2022-11-23T01:58:11.9153147Z [ RUN ] ATen.reluInt 2022-11-23T01:58:11.9157009Z [ OK ] ATen.reluInt (0 ms) 2022-11-23T01:58:11.9157456Z [ RUN ] ATen.reluFloat 2022-11-23T01:58:11.9161592Z [ OK ] ATen.reluFloat (0 ms) 2022-11-23T01:58:11.9162045Z [ RUN ] ATen.logFloat 2022-11-23T01:58:11.9166099Z [ OK ] ATen.logFloat (0 ms) 2022-11-23T01:58:11.9166490Z [ RUN ] ATen.fastLogFloat 2022-11-23T01:58:11.9332824Z [ OK ] ATen.fastLogFloat (16 ms) 2022-11-23T01:58:11.9333328Z [ RUN ] ATen.fastTanhFloat 2022-11-23T01:58:11.9391361Z [ OK ] ATen.fastTanhFloat (5 ms) 2022-11-23T01:58:11.9391840Z [ RUN ] ATen.fastSigmoidFloat 2022-11-23T01:58:11.9469701Z [ OK ] ATen.fastSigmoidFloat (7 ms) 2022-11-23T01:58:11.9470200Z [ RUN ] ATen.log10Float 2022-11-23T01:58:11.9473747Z [ OK ] ATen.log10Float (0 ms) 2022-11-23T01:58:11.9474188Z [ RUN ] ATen.log2Float 2022-11-23T01:58:11.9478056Z [ OK ] ATen.log2Float (0 ms) 2022-11-23T01:58:11.9478578Z [ RUN ] ATen.expFloat 2022-11-23T01:58:11.9482233Z [ OK ] ATen.expFloat (0 ms) 2022-11-23T01:58:11.9482662Z [ RUN ] ATen.erfFloat 2022-11-23T01:58:11.9486503Z [ OK ] ATen.erfFloat (0 ms) 2022-11-23T01:58:11.9486942Z [ RUN ] ATen.cosFloat 2022-11-23T01:58:11.9490789Z [ OK ] ATen.cosFloat (0 ms) 2022-11-23T01:58:11.9491237Z [ RUN ] ATen.eqInt 2022-11-23T01:58:11.9496739Z [ OK ] ATen.eqInt (0 ms) 2022-11-23T01:58:11.9497161Z [ RUN ] ATen.geInt 2022-11-23T01:58:11.9502879Z [ OK ] ATen.geInt (0 ms) 2022-11-23T01:58:11.9503308Z [ RUN ] ATen.gtInt 2022-11-23T01:58:11.9508649Z [ OK ] ATen.gtInt (0 ms) 2022-11-23T01:58:11.9509053Z [ RUN ] ATen.leInt 2022-11-23T01:58:11.9514576Z [ OK ] ATen.leInt (0 ms) 2022-11-23T01:58:11.9515214Z [ RUN ] ATen.ltInt 2022-11-23T01:58:11.9520693Z [ OK ] ATen.ltInt (0 ms) 2022-11-23T01:58:11.9521118Z [----------] 34 tests from ATen (49 ms total) 2022-11-23T01:58:11.9521370Z 2022-11-23T01:58:11.9521654Z [----------] 26 tests from BoundsInference 2022-11-23T01:58:11.9522136Z [ RUN ] BoundsInference._1 2022-11-23T01:58:11.9524024Z [ OK ] BoundsInference._1 (0 ms) 2022-11-23T01:58:11.9524677Z [ RUN ] BoundsInference._2 2022-11-23T01:58:11.9527861Z [ OK ] BoundsInference._2 (0 ms) 2022-11-23T01:58:11.9528329Z [ RUN ] BoundsInference._3 2022-11-23T01:58:11.9531186Z [ OK ] BoundsInference._3 (0 ms) 2022-11-23T01:58:11.9537215Z [ RUN ] BoundsInference._4 2022-11-23T01:58:11.9537697Z [ OK ] BoundsInference._4 (0 ms) 2022-11-23T01:58:11.9538152Z [ RUN ] BoundsInference._5 2022-11-23T01:58:11.9551914Z [ OK ] BoundsInference._5 (1 ms) 2022-11-23T01:58:11.9552402Z [ RUN ] BoundsInference._6 2022-11-23T01:58:11.9562147Z [ OK ] BoundsInference._6 (1 ms) 2022-11-23T01:58:11.9562642Z [ RUN ] BoundsInference.Adjacent 2022-11-23T01:58:11.9568750Z [ OK ] BoundsInference.Adjacent (0 ms) 2022-11-23T01:58:11.9569365Z [ RUN ] BoundsInference.MultipleTopLoopLoad 2022-11-23T01:58:11.9574683Z [ OK ] BoundsInference.MultipleTopLoopLoad (0 ms) 2022-11-23T01:58:11.9575357Z [ RUN ] BoundsInference.MultipleTopLoopStore 2022-11-23T01:58:11.9580623Z [ OK ] BoundsInference.MultipleTopLoopStore (0 ms) 2022-11-23T01:58:11.9581233Z [ RUN ] BoundsInference.CacheReads 2022-11-23T01:58:11.9609680Z [ OK ] BoundsInference.CacheReads (2 ms) 2022-11-23T01:58:11.9610252Z [ RUN ] BoundsInference.Flattened 2022-11-23T01:58:11.9624027Z [ OK ] BoundsInference.Flattened (1 ms) 2022-11-23T01:58:11.9624658Z [ RUN ] BoundsInference.GetPotentialHazards 2022-11-23T01:58:11.9625276Z [ OK ] BoundsInference.GetPotentialHazards (0 ms) 2022-11-23T01:58:11.9625993Z [ RUN ] BoundsInference.GetPotentialHazardsLoopNoHazard 2022-11-23T01:58:11.9629962Z [ OK ] BoundsInference.GetPotentialHazardsLoopNoHazard (0 ms) 2022-11-23T01:58:11.9630710Z [ RUN ] BoundsInference.GetPotentialHazardsLoopCall 2022-11-23T01:58:11.9635582Z [ OK ] BoundsInference.GetPotentialHazardsLoopCall (0 ms) 2022-11-23T01:58:11.9636347Z [ RUN ] BoundsInference.GetPotentialHazardsLoopSplit 2022-11-23T01:58:11.9649282Z [ OK ] BoundsInference.GetPotentialHazardsLoopSplit (1 ms) 2022-11-23T01:58:11.9650195Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap 2022-11-23T01:58:11.9655417Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap (0 ms) 2022-11-23T01:58:11.9656408Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap 2022-11-23T01:58:11.9657533Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap (0 ms) 2022-11-23T01:58:11.9658518Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW 2022-11-23T01:58:11.9660868Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW (0 ms) 2022-11-23T01:58:11.9661882Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping 2022-11-23T01:58:11.9665234Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping (0 ms) 2022-11-23T01:58:11.9666161Z [ RUN ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap 2022-11-23T01:58:11.9681003Z [ OK ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap (1 ms) 2022-11-23T01:58:11.9682165Z [ RUN ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap 2022-11-23T01:58:11.9692466Z [ OK ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap (1 ms) 2022-11-23T01:58:11.9693350Z [ RUN ] BoundsInference.HasConflictingOverlapDifferentBuffers 2022-11-23T01:58:11.9696228Z [ OK ] BoundsInference.HasConflictingOverlapDifferentBuffers (0 ms) 2022-11-23T01:58:11.9699804Z [ RUN ] BoundsInference.HasConflictingOverlapDueToRAWDependence 2022-11-23T01:58:11.9700879Z [ OK ] BoundsInference.HasConflictingOverlapDueToRAWDependence (0 ms) 2022-11-23T01:58:11.9701733Z [ RUN ] BoundsInference.HasConflictingOverlapDueToWARDependence 2022-11-23T01:58:11.9703304Z [ OK ] BoundsInference.HasConflictingOverlapDueToWARDependence (0 ms) 2022-11-23T01:58:11.9704129Z [ RUN ] BoundsInference.HasConflictingOverlapWithLoads 2022-11-23T01:58:11.9707482Z [ OK ] BoundsInference.HasConflictingOverlapWithLoads (0 ms) 2022-11-23T01:58:11.9708151Z [ RUN ] BoundsInference.IsOverlapping 2022-11-23T01:58:11.9731899Z [ OK ] BoundsInference.IsOverlapping (2 ms) 2022-11-23T01:58:11.9732507Z [----------] 26 tests from BoundsInference (21 ms total) 2022-11-23T01:58:11.9732763Z 2022-11-23T01:58:11.9732967Z [----------] 4 tests from Conv 2022-11-23T01:58:11.9733401Z [ RUN ] Conv.DepthwiseConv2D 2022-11-23T01:58:12.2332287Z [ OK ] Conv.DepthwiseConv2D (259 ms) 2022-11-23T01:58:12.2332849Z [ RUN ] Conv.DepthwiseConv2DNoBias 2022-11-23T01:58:12.4894081Z [ OK ] Conv.DepthwiseConv2DNoBias (256 ms) 2022-11-23T01:58:12.4894759Z [ RUN ] Conv.DepthwiseConv2DDynamicShapes 2022-11-23T01:58:12.6868421Z [ OK ] Conv.DepthwiseConv2DDynamicShapes (197 ms) 2022-11-23T01:58:12.6868766Z [ RUN ] Conv.Conv2D 2022-11-23T01:58:13.6805003Z [ OK ] Conv.Conv2D (993 ms) 2022-11-23T01:58:13.6805998Z [----------] 4 tests from Conv (1707 ms total) 2022-11-23T01:58:13.6806526Z 2022-11-23T01:58:13.6807766Z [----------] 28 tests from CppPrinter 2022-11-23T01:58:13.6808239Z [ RUN ] CppPrinter.IntImm 2022-11-23T01:58:13.6808630Z [ OK ] CppPrinter.IntImm (0 ms) 2022-11-23T01:58:13.6808982Z [ RUN ] CppPrinter.FloatImm 2022-11-23T01:58:13.6809400Z [ OK ] CppPrinter.FloatImm (0 ms) 2022-11-23T01:58:13.6809877Z [ RUN ] CppPrinter.FloatImm1 2022-11-23T01:58:13.6810343Z [ OK ] CppPrinter.FloatImm1 (0 ms) 2022-11-23T01:58:13.6810761Z [ RUN ] CppPrinter.DoubleImm 2022-11-23T01:58:13.6811167Z [ OK ] CppPrinter.DoubleImm (0 ms) 2022-11-23T01:58:13.6811685Z [ RUN ] CppPrinter.DoubleImm1 2022-11-23T01:58:13.6812209Z [ OK ] CppPrinter.DoubleImm1 (0 ms) 2022-11-23T01:58:13.6812514Z [ RUN ] CppPrinter.HalfImm 2022-11-23T01:58:13.6812792Z [ OK ] CppPrinter.HalfImm (0 ms) 2022-11-23T01:58:13.6813048Z [ RUN ] CppPrinter.Add 2022-11-23T01:58:13.6813294Z [ OK ] CppPrinter.Add (0 ms) 2022-11-23T01:58:13.6813560Z [ RUN ] CppPrinter.AddExpr1 2022-11-23T01:58:13.6813838Z [ OK ] CppPrinter.AddExpr1 (0 ms) 2022-11-23T01:58:13.6814097Z [ RUN ] CppPrinter.AddExpr2 2022-11-23T01:58:13.6814376Z [ OK ] CppPrinter.AddExpr2 (0 ms) 2022-11-23T01:58:13.6814649Z [ RUN ] CppPrinter.AddExpr3 2022-11-23T01:58:13.6814919Z [ OK ] CppPrinter.AddExpr3 (0 ms) 2022-11-23T01:58:13.6815179Z [ RUN ] CppPrinter.Mod 2022-11-23T01:58:13.6815439Z [ OK ] CppPrinter.Mod (0 ms) 2022-11-23T01:58:13.6815688Z [ RUN ] CppPrinter.ModFloat 2022-11-23T01:58:13.6815962Z [ OK ] CppPrinter.ModFloat (0 ms) 2022-11-23T01:58:13.6816219Z [ RUN ] CppPrinter.Max 2022-11-23T01:58:13.6816684Z [ OK ] CppPrinter.Max (0 ms) 2022-11-23T01:58:13.6818967Z [ RUN ] CppPrinter.MaxFloat 2022-11-23T01:58:13.6819521Z [ OK ] CppPrinter.MaxFloat (0 ms) 2022-11-23T01:58:13.6820044Z [ RUN ] CppPrinter.MaxHalf 2022-11-23T01:58:13.6820568Z [ OK ] CppPrinter.MaxHalf (0 ms) 2022-11-23T01:58:13.6820971Z [ RUN ] CppPrinter.And 2022-11-23T01:58:13.6821421Z [ OK ] CppPrinter.And (0 ms) 2022-11-23T01:58:13.6822127Z [ RUN ] CppPrinter.CompareSelect 2022-11-23T01:58:13.6822645Z [ OK ] CppPrinter.CompareSelect (0 ms) 2022-11-23T01:58:13.6823169Z [ RUN ] CppPrinter.IfThenElse 2022-11-23T01:58:13.6823627Z [ OK ] CppPrinter.IfThenElse (0 ms) 2022-11-23T01:58:13.6823961Z [ RUN ] CppPrinter.AllocateFree 2022-11-23T01:58:13.6824318Z [ OK ] CppPrinter.AllocateFree (0 ms) 2022-11-23T01:58:13.6824618Z [ RUN ] CppPrinter.LoadStore 2022-11-23T01:58:13.6824904Z [ OK ] CppPrinter.LoadStore (0 ms) 2022-11-23T01:58:13.6825214Z [ RUN ] CppPrinter.Var 2022-11-23T01:58:13.6825472Z [ OK ] CppPrinter.Var (0 ms) 2022-11-23T01:58:13.6825725Z [ RUN ] CppPrinter.Cast 2022-11-23T01:58:13.6826031Z [ OK ] CppPrinter.Cast (0 ms) 2022-11-23T01:58:13.6826290Z [ RUN ] CppPrinter.BitCast 2022-11-23T01:58:13.6826576Z [ OK ] CppPrinter.BitCast (0 ms) 2022-11-23T01:58:13.6826869Z [ RUN ] CppPrinter.Let 2022-11-23T01:58:13.6827125Z [ OK ] CppPrinter.Let (0 ms) 2022-11-23T01:58:13.6827396Z [ RUN ] CppPrinter.For 2022-11-23T01:58:13.6827666Z [ OK ] CppPrinter.For (0 ms) 2022-11-23T01:58:13.6827913Z [ RUN ] CppPrinter.Cond 2022-11-23T01:58:13.6828255Z [ OK ] CppPrinter.Cond (0 ms) 2022-11-23T01:58:13.6828524Z [ RUN ] CppPrinter.Intrinsics 2022-11-23T01:58:13.6828797Z [ OK ] CppPrinter.Intrinsics (0 ms) 2022-11-23T01:58:13.6829141Z [ RUN ] CppPrinter.ExternalCall 2022-11-23T01:58:13.6829435Z [ OK ] CppPrinter.ExternalCall (0 ms) 2022-11-23T01:58:13.6829800Z [----------] 28 tests from CppPrinter (0 ms total) 2022-11-23T01:58:13.6829952Z 2022-11-23T01:58:13.6830104Z [----------] 8 tests from DynamicShapes 2022-11-23T01:58:13.6830391Z [ RUN ] DynamicShapes.SimpleGraph 2022-11-23T01:58:13.7671394Z [ OK ] DynamicShapes.SimpleGraph (85 ms) 2022-11-23T01:58:13.7671774Z [ RUN ] DynamicShapes.GraphWith2InputsSameDims 2022-11-23T01:58:13.8425026Z [ OK ] DynamicShapes.GraphWith2InputsSameDims (75 ms) 2022-11-23T01:58:13.8425431Z [ RUN ] DynamicShapes.GraphWith2InputsAndBroadcast 2022-11-23T01:58:13.9147765Z [ OK ] DynamicShapes.GraphWith2InputsAndBroadcast (72 ms) 2022-11-23T01:58:13.9148319Z [ RUN ] DynamicShapes.GraphWithPartiallySymbolicOutput 2022-11-23T01:58:13.9547809Z [ OK ] DynamicShapes.GraphWithPartiallySymbolicOutput (40 ms) 2022-11-23T01:58:13.9548287Z [ RUN ] DynamicShapes.GraphWithSymbolicStrides 2022-11-23T01:58:14.1236623Z [ OK ] DynamicShapes.GraphWithSymbolicStrides (168 ms) 2022-11-23T01:58:14.1237083Z [ RUN ] DynamicShapes.GraphWithCatAndBroadcast 2022-11-23T01:58:14.5692323Z [ OK ] DynamicShapes.GraphWithCatAndBroadcast (445 ms) 2022-11-23T01:58:14.5692701Z [ RUN ] DynamicShapes.GraphFromModel 2022-11-23T01:58:14.9508471Z [ OK ] DynamicShapes.GraphFromModel (381 ms) 2022-11-23T01:58:14.9508903Z [ RUN ] DynamicShapes.MultiThreadedExecution 2022-11-23T01:58:15.0266032Z [ OK ] DynamicShapes.MultiThreadedExecution (75 ms) 2022-11-23T01:58:15.0266743Z [----------] 8 tests from DynamicShapes (1345 ms total) 2022-11-23T01:58:15.0267017Z 2022-11-23T01:58:15.0267477Z [----------] 30 tests from Expr 2022-11-23T01:58:15.0267940Z [ RUN ] Expr.BasicValueTest 2022-11-23T01:58:15.0268389Z [ OK ] Expr.BasicValueTest (0 ms) 2022-11-23T01:58:15.0268669Z [ RUN ] Expr.BasicValueTest02 2022-11-23T01:58:15.0268953Z [ OK ] Expr.BasicValueTest02 (0 ms) 2022-11-23T01:58:15.0269255Z [ RUN ] Expr.IsChannelsLastContiguous 2022-11-23T01:58:15.0269657Z [ OK ] Expr.IsChannelsLastContiguous (0 ms) 2022-11-23T01:58:15.0269924Z [ RUN ] Expr.LetTest01 2022-11-23T01:58:15.0270182Z [ OK ] Expr.LetTest01 (0 ms) 2022-11-23T01:58:15.0270430Z [ RUN ] Expr.LetTest02 2022-11-23T01:58:15.0270689Z [ OK ] Expr.LetTest02 (0 ms) 2022-11-23T01:58:15.0270934Z [ RUN ] Expr.LetStmtTest01 2022-11-23T01:58:15.0283930Z [ OK ] Expr.LetStmtTest01 (1 ms) 2022-11-23T01:58:15.0284409Z [ RUN ] Expr.IntTest 2022-11-23T01:58:15.0284971Z [ OK ] Expr.IntTest (0 ms) 2022-11-23T01:58:15.0285435Z [ RUN ] Expr.FloatTest 2022-11-23T01:58:15.0285888Z [ OK ] Expr.FloatTest (0 ms) 2022-11-23T01:58:15.0286315Z [ RUN ] Expr.ByteTest 2022-11-23T01:58:15.0286777Z [ OK ] Expr.ByteTest (0 ms) 2022-11-23T01:58:15.0287047Z [ RUN ] Expr.CharTest 2022-11-23T01:58:15.0287295Z [ OK ] Expr.CharTest (0 ms) 2022-11-23T01:58:15.0287540Z [ RUN ] Expr.ShortTest 2022-11-23T01:58:15.0287797Z [ OK ] Expr.ShortTest (0 ms) 2022-11-23T01:58:15.0288049Z [ RUN ] Expr.LongTest 2022-11-23T01:58:15.0288287Z [ OK ] Expr.LongTest (0 ms) 2022-11-23T01:58:15.0288527Z [ RUN ] Expr.HalfTest 2022-11-23T01:58:15.0288774Z [ OK ] Expr.HalfTest (0 ms) 2022-11-23T01:58:15.0289008Z [ RUN ] Expr.DoubleTest 2022-11-23T01:58:15.0289275Z [ OK ] Expr.DoubleTest (0 ms) 2022-11-23T01:58:15.0289527Z [ RUN ] Expr.VectorAdd01 2022-11-23T01:58:15.0300548Z [ OK ] Expr.VectorAdd01 (1 ms) 2022-11-23T01:58:15.0300858Z [ RUN ] Expr.CompareSelectEQ 2022-11-23T01:58:15.0339176Z [ OK ] Expr.CompareSelectEQ (3 ms) 2022-11-23T01:58:15.0339706Z [ RUN ] Expr.CompareSelectDtypes 2022-11-23T01:58:15.0388010Z [ OK ] Expr.CompareSelectDtypes (3 ms) 2022-11-23T01:58:15.0388523Z [ RUN ] Expr.IntrinsicsDtypes 2022-11-23T01:58:15.0388988Z [ OK ] Expr.IntrinsicsDtypes (0 ms) 2022-11-23T01:58:15.0389488Z [ RUN ] Expr.Substitute01 2022-11-23T01:58:15.0389927Z [ OK ] Expr.Substitute01 (0 ms) 2022-11-23T01:58:15.0390183Z [ RUN ] Expr.Math01 2022-11-23T01:58:15.0390475Z [ OK ] Expr.Math01 (0 ms) 2022-11-23T01:58:15.0390800Z [ RUN ] Expr.UnaryMath01 2022-11-23T01:58:15.0391165Z [ OK ] Expr.UnaryMath01 (0 ms) 2022-11-23T01:58:15.0391506Z [ RUN ] Expr.BinaryMath01 2022-11-23T01:58:15.0391766Z [ OK ] Expr.BinaryMath01 (0 ms) 2022-11-23T01:58:15.0392093Z [ RUN ] Expr.LogicalOps01 2022-11-23T01:58:15.0392362Z [ OK ] Expr.LogicalOps01 (0 ms) 2022-11-23T01:58:15.0392618Z [ RUN ] Expr.LogicalOps02 2022-11-23T01:58:15.0392874Z [ OK ] Expr.LogicalOps02 (0 ms) 2022-11-23T01:58:15.0393129Z [ RUN ] Expr.LogicalOps03 2022-11-23T01:58:15.0393395Z [ OK ] Expr.LogicalOps03 (0 ms) 2022-11-23T01:58:15.0393631Z [ RUN ] Expr.BitwiseOps 2022-11-23T01:58:15.0393928Z [ OK ] Expr.BitwiseOps (0 ms) 2022-11-23T01:58:15.0394196Z [ RUN ] Expr.DynamicShapeAdd 2022-11-23T01:58:15.0394515Z [ OK ] Expr.DynamicShapeAdd (0 ms) 2022-11-23T01:58:15.0394782Z [ RUN ] Expr.OutOfBounds 2022-11-23T01:58:15.0433905Z [ OK ] Expr.OutOfBounds (3 ms) 2022-11-23T01:58:15.0434209Z [ RUN ] Expr.OutOfBounds2d 2022-11-23T01:58:15.0442453Z [ OK ] Expr.OutOfBounds2d (0 ms) 2022-11-23T01:58:15.0442821Z [ RUN ] Expr.OutOfBounds2dFlattenedIndex 2022-11-23T01:58:15.0448079Z [ OK ] Expr.OutOfBounds2dFlattenedIndex (0 ms) 2022-11-23T01:58:15.0448672Z [----------] 30 tests from Expr (18 ms total) 2022-11-23T01:58:15.0449003Z 2022-11-23T01:58:15.0449159Z [----------] 16 tests from ExternalCall 2022-11-23T01:58:15.0449443Z [ RUN ] ExternalCall.Conv1d_float 2022-11-23T01:58:15.0730305Z [ OK ] ExternalCall.Conv1d_float (28 ms) 2022-11-23T01:58:15.0730796Z [ RUN ] ExternalCall.Conv1d_int 2022-11-23T01:58:15.1026809Z [ OK ] ExternalCall.Conv1d_int (29 ms) 2022-11-23T01:58:15.1027147Z [ RUN ] ExternalCall.Conv1d_nobias_noargs 2022-11-23T01:58:15.1274241Z [ OK ] ExternalCall.Conv1d_nobias_noargs (24 ms) 2022-11-23T01:58:15.1274851Z [ RUN ] ExternalCall.Conv2d_float 2022-11-23T01:58:15.1601391Z [ OK ] ExternalCall.Conv2d_float (32 ms) 2022-11-23T01:58:15.1602029Z [ RUN ] ExternalCall.Conv2d_int 2022-11-23T01:58:15.1996723Z [ OK ] ExternalCall.Conv2d_int (39 ms) 2022-11-23T01:58:15.1997331Z [ RUN ] ExternalCall.Conv2d_nobias_noargs 2022-11-23T01:58:15.2289614Z [ OK ] ExternalCall.Conv2d_nobias_noargs (29 ms) 2022-11-23T01:58:15.2290007Z [ RUN ] ExternalCall.Addmm_float 2022-11-23T01:58:15.2583673Z [ OK ] ExternalCall.Addmm_float (29 ms) 2022-11-23T01:58:15.2584073Z [ RUN ] ExternalCall.Embedding 2022-11-23T01:58:15.2846434Z [ OK ] ExternalCall.Embedding (26 ms) 2022-11-23T01:58:15.2846854Z [ RUN ] ExternalCall.MaxReduction 2022-11-23T01:58:15.3089381Z [ OK ] ExternalCall.MaxReduction (24 ms) 2022-11-23T01:58:15.3090036Z [ RUN ] ExternalCall.Prepacked_Linear_float 2022-11-23T01:58:15.3424686Z [ OK ] ExternalCall.Prepacked_Linear_float (33 ms) 2022-11-23T01:58:15.3425395Z [ RUN ] ExternalCall.Prepacked_Conv2d_float 2022-11-23T01:58:15.3924086Z [ OK ] ExternalCall.Prepacked_Conv2d_float (49 ms) 2022-11-23T01:58:15.3925378Z [ RUN ] ExternalCall.BinaryFloat 2022-11-23T01:58:15.4672123Z [ OK ] ExternalCall.BinaryFloat (74 ms) 2022-11-23T01:58:15.4672772Z [ RUN ] ExternalCall.UnaryFloat 2022-11-23T01:58:15.5136260Z [ OK ] ExternalCall.UnaryFloat (46 ms) 2022-11-23T01:58:15.5137040Z [ RUN ] ExternalCall.ComputeInterop 2022-11-23T01:58:16.6227658Z [ OK ] ExternalCall.ComputeInterop (1109 ms) 2022-11-23T01:58:16.6228230Z [ RUN ] ExternalCall.Inlining 2022-11-23T01:58:16.6968771Z [ OK ] ExternalCall.Inlining (74 ms) 2022-11-23T01:58:16.6969308Z [ RUN ] ExternalCall.JitCustomFusionOp 2022-11-23T01:58:16.8210685Z [ OK ] ExternalCall.JitCustomFusionOp (124 ms) 2022-11-23T01:58:16.8211365Z [----------] 16 tests from ExternalCall (1776 ms total) 2022-11-23T01:58:16.8211647Z 2022-11-23T01:58:16.8211905Z [----------] 8 tests from GraphOpt 2022-11-23T01:58:16.8212377Z [ RUN ] GraphOpt.OptimizeCat 2022-11-23T01:58:16.8544387Z [ OK ] GraphOpt.OptimizeCat (33 ms) 2022-11-23T01:58:16.8544951Z [ RUN ] GraphOpt.OptimizeCat2 2022-11-23T01:58:16.8909055Z [ OK ] GraphOpt.OptimizeCat2 (36 ms) 2022-11-23T01:58:16.8909649Z [ RUN ] GraphOpt.OptimizeCat3 2022-11-23T01:58:16.9334258Z [ OK ] GraphOpt.OptimizeCat3 (42 ms) 2022-11-23T01:58:16.9334952Z [ RUN ] GraphOpt.OptimizeCatWithTypePromotionInUser 2022-11-23T01:58:16.9669024Z [ OK ] GraphOpt.OptimizeCatWithTypePromotionInUser (33 ms) 2022-11-23T01:58:16.9669839Z [ RUN ] GraphOpt.OptimizeCatWithTypePromotionInCat 2022-11-23T01:58:17.0293855Z [ OK ] GraphOpt.OptimizeCatWithTypePromotionInCat (62 ms) 2022-11-23T01:58:17.0294648Z [ RUN ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp 2022-11-23T01:58:17.0686082Z [ OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp (39 ms) 2022-11-23T01:58:17.0687247Z [ RUN ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 2022-11-23T01:58:17.1104768Z [ OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 (41 ms) 2022-11-23T01:58:17.1105352Z [ RUN ] GraphOpt.AOTGraphPrepPasses 2022-11-23T01:58:17.1105934Z [ OK ] GraphOpt.AOTGraphPrepPasses (0 ms) 2022-11-23T01:58:17.1106558Z [----------] 8 tests from GraphOpt (289 ms total) 2022-11-23T01:58:17.1106827Z 2022-11-23T01:58:17.1107089Z [----------] 4 tests from IRPrinter 2022-11-23T01:58:17.1107550Z [ RUN ] IRPrinter.BasicValueTest 2022-11-23T01:58:17.1107976Z [ OK ] IRPrinter.BasicValueTest (0 ms) 2022-11-23T01:58:17.1108320Z [ RUN ] IRPrinter.BasicValueTest02 2022-11-23T01:58:17.1108624Z [ OK ] IRPrinter.BasicValueTest02 (0 ms) 2022-11-23T01:58:17.1109069Z [ RUN ] IRPrinter.CastTest 2022-11-23T01:58:17.1109566Z [ OK ] IRPrinter.CastTest (0 ms) 2022-11-23T01:58:17.1110060Z [ RUN ] IRPrinter.FunctionName 2022-11-23T01:58:17.1110615Z [ OK ] IRPrinter.FunctionName (0 ms) 2022-11-23T01:58:17.1111055Z [----------] 4 tests from IRPrinter (0 ms total) 2022-11-23T01:58:17.1111259Z 2022-11-23T01:58:17.1111487Z [----------] 8 tests from IRVerifier 2022-11-23T01:58:17.1111896Z [ RUN ] IRVerifier.BitwiseOps 2022-11-23T01:58:17.1112232Z [ OK ] IRVerifier.BitwiseOps (0 ms) 2022-11-23T01:58:17.1112667Z [ RUN ] IRVerifier.CompareSelect 2022-11-23T01:58:17.1113033Z [ OK ] IRVerifier.CompareSelect (0 ms) 2022-11-23T01:58:17.1113308Z [ RUN ] IRVerifier.Ramp 2022-11-23T01:58:17.1113571Z [ OK ] IRVerifier.Ramp (0 ms) 2022-11-23T01:58:17.1113811Z [ RUN ] IRVerifier.Load 2022-11-23T01:58:17.1114071Z [ OK ] IRVerifier.Load (0 ms) 2022-11-23T01:58:17.1114338Z [ RUN ] IRVerifier.IfThenElse 2022-11-23T01:58:17.1114632Z [ OK ] IRVerifier.IfThenElse (0 ms) 2022-11-23T01:58:17.1114880Z [ RUN ] IRVerifier.For 2022-11-23T01:58:17.1115136Z [ OK ] IRVerifier.For (0 ms) 2022-11-23T01:58:17.1115386Z [ RUN ] IRVerifier.Block 2022-11-23T01:58:17.1115637Z [ OK ] IRVerifier.Block (0 ms) 2022-11-23T01:58:17.1115889Z [ RUN ] IRVerifier.Store 2022-11-23T01:58:17.1116150Z [ OK ] IRVerifier.Store (0 ms) 2022-11-23T01:58:17.1116440Z [----------] 8 tests from IRVerifier (0 ms total) 2022-11-23T01:58:17.1116589Z 2022-11-23T01:58:17.1116726Z [----------] 37 tests from Kernel 2022-11-23T01:58:17.1117020Z [ RUN ] Kernel.ParallelExternalCallBuf 2022-11-23T01:58:17.1706292Z [ OK ] Kernel.ParallelExternalCallBuf (59 ms) 2022-11-23T01:58:17.1706714Z [ RUN ] Kernel.InliningIntermediates 2022-11-23T01:58:17.2391422Z [ OK ] Kernel.InliningIntermediates (68 ms) 2022-11-23T01:58:17.2391948Z [ RUN ] Kernel.PreAllocIntermediateBufs 2022-11-23T01:58:17.3517319Z [ OK ] Kernel.PreAllocIntermediateBufs (112 ms) 2022-11-23T01:58:17.3517646Z [ RUN ] Kernel._1 2022-11-23T01:58:17.3815317Z [ OK ] Kernel._1 (29 ms) 2022-11-23T01:58:17.3815745Z [ RUN ] Kernel._2 2022-11-23T01:58:17.4136418Z [ OK ] Kernel._2 (32 ms) 2022-11-23T01:58:17.4136864Z [ RUN ] Kernel._3 2022-11-23T01:58:17.4463339Z [ OK ] Kernel._3 (32 ms) 2022-11-23T01:58:17.4463648Z [ RUN ] Kernel.Huge 2022-11-23T01:58:17.4715473Z [ OK ] Kernel.Huge (25 ms) 2022-11-23T01:58:17.4715984Z [ RUN ] Kernel.ParallelStrided 2022-11-23T01:58:17.5930399Z [ OK ] Kernel.ParallelStrided (121 ms) 2022-11-23T01:58:17.5930873Z [ RUN ] Kernel.CatInputTypesPromotion 2022-11-23T01:58:17.6884088Z [ OK ] Kernel.CatInputTypesPromotion (95 ms) 2022-11-23T01:58:17.6884413Z [ RUN ] Kernel.ToDType 2022-11-23T01:58:17.7166510Z [ OK ] Kernel.ToDType (28 ms) 2022-11-23T01:58:17.7166852Z [ RUN ] Kernel.CatAndInlineWithAConstantDim 2022-11-23T01:58:17.7451903Z [ OK ] Kernel.CatAndInlineWithAConstantDim (28 ms) 2022-11-23T01:58:17.7452257Z [ RUN ] Kernel.CatWithEmptyInputs 2022-11-23T01:58:17.8166796Z [ OK ] Kernel.CatWithEmptyInputs (71 ms) 2022-11-23T01:58:17.8167121Z [ RUN ] Kernel.CatWoConditionals 2022-11-23T01:58:17.8912562Z [ OK ] Kernel.CatWoConditionals (74 ms) 2022-11-23T01:58:17.8913144Z [ RUN ] Kernel.OptimizeConditionals 2022-11-23T01:58:17.9886043Z [ OK ] Kernel.OptimizeConditionals (97 ms) 2022-11-23T01:58:17.9886411Z [ RUN ] Kernel.SumAllAxes 2022-11-23T01:58:18.0387614Z [ OK ] Kernel.SumAllAxes (50 ms) 2022-11-23T01:58:18.0388130Z [ RUN ] Kernel.SumOneAxis 2022-11-23T01:58:18.4522267Z [ OK ] Kernel.SumOneAxis (413 ms) 2022-11-23T01:58:18.4522617Z [ RUN ] Kernel.SumMultipleAxes 2022-11-23T01:58:18.8887397Z [ OK ] Kernel.SumMultipleAxes (436 ms) 2022-11-23T01:58:18.8887722Z [ RUN ] Kernel.Softmax2D 2022-11-23T01:58:19.3376391Z [ OK ] Kernel.Softmax2D (448 ms) 2022-11-23T01:58:19.3376711Z [ RUN ] Kernel.Softmax3D 2022-11-23T01:58:20.2091332Z [ OK ] Kernel.Softmax3D (871 ms) 2022-11-23T01:58:20.2091640Z [ RUN ] Kernel.Softmax4D 2022-11-23T01:58:21.3486709Z [ OK ] Kernel.Softmax4D (1139 ms) 2022-11-23T01:58:21.3487011Z [ RUN ] Kernel.SignTest 2022-11-23T01:58:21.4193178Z [ OK ] Kernel.SignTest (70 ms) 2022-11-23T01:58:21.4193524Z [ RUN ] Kernel.InlineProducerIntoReduction 2022-11-23T01:58:21.4482484Z [ OK ] Kernel.InlineProducerIntoReduction (28 ms) 2022-11-23T01:58:21.4482911Z [ RUN ] Kernel.InlineReductionIntoConsumer 2022-11-23T01:58:21.4833752Z [ OK ] Kernel.InlineReductionIntoConsumer (35 ms) 2022-11-23T01:58:21.4834344Z [ RUN ] Kernel.ConstantTensors 2022-11-23T01:58:21.5232590Z [ OK ] Kernel.ConstantTensors (39 ms) 2022-11-23T01:58:21.5233149Z [ RUN ] Kernel.ConstantTensorsNonContiguous 2022-11-23T01:58:21.5634114Z [ OK ] Kernel.ConstantTensorsNonContiguous (40 ms) 2022-11-23T01:58:21.5634605Z [ RUN ] Kernel.RunFast 2022-11-23T01:58:21.5953847Z [ OK ] Kernel.RunFast (31 ms) 2022-11-23T01:58:21.5954435Z [ RUN ] Kernel.RunWithAllocatedOutputs 2022-11-23T01:58:21.6270308Z [ OK ] Kernel.RunWithAllocatedOutputs (31 ms) 2022-11-23T01:58:21.6665248Z [ RUN ] Kernel.CodegenInspection 2022-11-23T01:58:21.6665789Z [ OK ] Kernel.CodegenInspection (39 ms) 2022-11-23T01:58:21.6666108Z [ RUN ] Kernel.CustomLowering 2022-11-23T01:58:21.6910059Z [ OK ] Kernel.CustomLowering (24 ms) 2022-11-23T01:58:21.6910553Z [ RUN ] Kernel.Vectorize 2022-11-23T01:58:21.7217827Z [ OK ] Kernel.Vectorize (30 ms) 2022-11-23T01:58:21.7218150Z [ RUN ] Kernel.Strided1dWithinBounds 2022-11-23T01:58:21.7448066Z [ OK ] Kernel.Strided1dWithinBounds (23 ms) 2022-11-23T01:58:21.7448555Z [ RUN ] Kernel.InputAsOutput 2022-11-23T01:58:21.7795382Z [ OK ] Kernel.InputAsOutput (34 ms) 2022-11-23T01:58:21.7795905Z [ RUN ] Kernel.ScalarOut 2022-11-23T01:58:21.8003191Z [ OK ] Kernel.ScalarOut (20 ms) 2022-11-23T01:58:21.8003720Z [ RUN ] Kernel.ScalarTensorOut 2022-11-23T01:58:21.8270172Z [ OK ] Kernel.ScalarTensorOut (26 ms) 2022-11-23T01:58:21.8270809Z [ RUN ] Kernel.FuseLoopsWithVariableBounds 2022-11-23T01:58:22.2732650Z [ OK ] Kernel.FuseLoopsWithVariableBounds (446 ms) 2022-11-23T01:58:22.2733409Z [ RUN ] Kernel.FuseLoopsWithVariableConcatDim 2022-11-23T01:58:22.7799214Z [ OK ] Kernel.FuseLoopsWithVariableConcatDim (506 ms) 2022-11-23T01:58:22.7800051Z [ RUN ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims 2022-11-23T01:58:23.1121837Z [ OK ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims (332 ms) 2022-11-23T01:58:23.1122374Z [----------] 37 tests from Kernel (6000 ms total) 2022-11-23T01:58:23.1122529Z 2022-11-23T01:58:23.1122679Z [----------] 174 tests from LoopNest 2022-11-23T01:58:23.1122962Z [ RUN ] LoopNest.ExprSimple01 2022-11-23T01:58:23.1123267Z [ OK ] LoopNest.ExprSimple01 (0 ms) 2022-11-23T01:58:23.1123535Z [ RUN ] LoopNest.ExprLower01 2022-11-23T01:58:23.1138912Z [ OK ] LoopNest.ExprLower01 (1 ms) 2022-11-23T01:58:23.1139447Z [ RUN ] LoopNest.ExprSimple02 2022-11-23T01:58:23.1160654Z [ OK ] LoopNest.ExprSimple02 (2 ms) 2022-11-23T01:58:23.1161267Z [ RUN ] LoopNest.ExprSliceHeadWithLoopOptions 2022-11-23T01:58:23.1163836Z [ OK ] LoopNest.ExprSliceHeadWithLoopOptions (0 ms) 2022-11-23T01:58:23.1164525Z [ RUN ] LoopNest.ExprSliceTailWithLoopOptions 2022-11-23T01:58:23.1167597Z [ OK ] LoopNest.ExprSliceTailWithLoopOptions (0 ms) 2022-11-23T01:58:23.1168007Z [ RUN ] LoopNest.ExprSliceHeadWhenFactorEqualsSize 2022-11-23T01:58:23.1179586Z [ OK ] LoopNest.ExprSliceHeadWhenFactorEqualsSize (1 ms) 2022-11-23T01:58:23.1180143Z [ RUN ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize 2022-11-23T01:58:23.1180702Z [ OK ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize (0 ms) 2022-11-23T01:58:23.1181074Z [ RUN ] LoopNest.ExprSliceHead 2022-11-23T01:58:23.1181387Z [ OK ] LoopNest.ExprSliceHead (0 ms) 2022-11-23T01:58:23.1181780Z [ RUN ] LoopNest.ExprSliceHeadWithNonZeroStart 2022-11-23T01:58:23.1182670Z [ OK ] LoopNest.ExprSliceHeadWithNonZeroStart (0 ms) 2022-11-23T01:58:23.1183172Z [ RUN ] LoopNest.ExprSliceTailWhenFactorEqualsSize 2022-11-23T01:58:23.1183732Z [ OK ] LoopNest.ExprSliceTailWhenFactorEqualsSize (0 ms) 2022-11-23T01:58:23.1184370Z [ RUN ] LoopNest.ExprSliceTailWhenFactorLargerThanSize 2022-11-23T01:58:23.1184969Z [ OK ] LoopNest.ExprSliceTailWhenFactorLargerThanSize (0 ms) 2022-11-23T01:58:23.1185528Z [ RUN ] LoopNest.ExprSliceTail 2022-11-23T01:58:23.1186034Z [ OK ] LoopNest.ExprSliceTail (0 ms) 2022-11-23T01:58:23.1186340Z [ RUN ] LoopNest.ExprSplitAndSlice 2022-11-23T01:58:23.1192290Z [ OK ] LoopNest.ExprSplitAndSlice (0 ms) 2022-11-23T01:58:23.1192877Z [ RUN ] LoopNest.ExprSliceAndNormalize 2022-11-23T01:58:23.1194525Z [ OK ] LoopNest.ExprSliceAndNormalize (0 ms) 2022-11-23T01:58:23.1195153Z [ RUN ] LoopNest.ExprSliceWithVariableDimension 2022-11-23T01:58:23.1211705Z [ OK ] LoopNest.ExprSliceWithVariableDimension (1 ms) 2022-11-23T01:58:23.1212121Z [ RUN ] LoopNest.ExprSplitWithTail 2022-11-23T01:58:23.1218613Z [ OK ] LoopNest.ExprSplitWithTail (0 ms) 2022-11-23T01:58:23.1219194Z [ RUN ] LoopNest.ExprSplitWithTailNone 2022-11-23T01:58:23.1232104Z [ OK ] LoopNest.ExprSplitWithTailNone (1 ms) 2022-11-23T01:58:23.1232527Z [ RUN ] LoopNest.ExprSplitWithMask01 2022-11-23T01:58:23.1271801Z [ OK ] LoopNest.ExprSplitWithMask01 (3 ms) 2022-11-23T01:58:23.1272393Z [ RUN ] LoopNest.ExprSplitWithMaskRepeatedNoMask 2022-11-23T01:58:23.1288719Z [ OK ] LoopNest.ExprSplitWithMaskRepeatedNoMask (1 ms) 2022-11-23T01:58:23.1289378Z [ RUN ] LoopNest.getLoopAt 2022-11-23T01:58:23.1299703Z [ OK ] LoopNest.getLoopAt (1 ms) 2022-11-23T01:58:23.1300326Z [ RUN ] LoopNest.TileSimple 2022-11-23T01:58:23.2206142Z [ OK ] LoopNest.TileSimple (90 ms) 2022-11-23T01:58:23.2206632Z [ RUN ] LoopNest.TileWithTails 2022-11-23T01:58:23.3114730Z [ OK ] LoopNest.TileWithTails (90 ms) 2022-11-23T01:58:23.3115132Z [ RUN ] LoopNest.TileInMiddle 2022-11-23T01:58:23.4594414Z [ OK ] LoopNest.TileInMiddle (147 ms) 2022-11-23T01:58:23.4594852Z [ RUN ] LoopNest.SplitWithTailWithLoopOptions 2022-11-23T01:58:23.4595236Z [ OK ] LoopNest.SplitWithTailWithLoopOptions (0 ms) 2022-11-23T01:58:23.4595593Z [ RUN ] LoopNest.SplitWithMaskWithLoopOptions 2022-11-23T01:58:23.4595959Z [ OK ] LoopNest.SplitWithMaskWithLoopOptions (0 ms) 2022-11-23T01:58:23.4596326Z [ RUN ] LoopNest.ScheduleBroadcastAddBuffer 2022-11-23T01:58:23.4614599Z [ OK ] LoopNest.ScheduleBroadcastAddBuffer (1 ms) 2022-11-23T01:58:23.4614974Z [ RUN ] LoopNest.ScheduleFunctionCall01 2022-11-23T01:58:23.4691438Z [ OK ] LoopNest.ScheduleFunctionCall01 (7 ms) 2022-11-23T01:58:23.4691780Z [ RUN ] LoopNest.ScheduleInlineSimple 2022-11-23T01:58:23.4813412Z [ OK ] LoopNest.ScheduleInlineSimple (12 ms) 2022-11-23T01:58:23.4813849Z [ RUN ] LoopNest.ScheduleInlineFunc01 2022-11-23T01:58:23.5379264Z [ OK ] LoopNest.ScheduleInlineFunc01 (56 ms) 2022-11-23T01:58:23.5379618Z [ RUN ] LoopNest.ScheduleInlineRandom 2022-11-23T01:58:23.5382197Z [ OK ] LoopNest.ScheduleInlineRandom (0 ms) 2022-11-23T01:58:23.5382621Z [ RUN ] LoopNest.ScheduleInlineRandomUnrelated 2022-11-23T01:58:23.5386142Z [ OK ] LoopNest.ScheduleInlineRandomUnrelated (0 ms) 2022-11-23T01:58:23.5386599Z [ RUN ] LoopNest.ScheduleInlineRandomLowerDimensions 2022-11-23T01:58:23.5389411Z [ OK ] LoopNest.ScheduleInlineRandomLowerDimensions (0 ms) 2022-11-23T01:58:23.5389921Z [ RUN ] LoopNest.ScheduleInlineIntrinsics 2022-11-23T01:58:23.5479767Z [ OK ] LoopNest.ScheduleInlineIntrinsics (9 ms) 2022-11-23T01:58:23.5480173Z [ RUN ] LoopNest.ScheduleInlineRandWithIntrinsics 2022-11-23T01:58:23.5482743Z [ OK ] LoopNest.ScheduleInlineRandWithIntrinsics (0 ms) 2022-11-23T01:58:23.5483112Z [ RUN ] LoopNest.ScheduleSplitAThenInline 2022-11-23T01:58:23.5484508Z [ OK ] LoopNest.ScheduleSplitAThenInline (0 ms) 2022-11-23T01:58:23.5485150Z [ RUN ] LoopNest.ScheduleSplitBThenInline 2022-11-23T01:58:23.5488683Z [ OK ] LoopNest.ScheduleSplitBThenInline (0 ms) 2022-11-23T01:58:23.5489083Z [ RUN ] LoopNest.ScheduleSplitTwiceThenInline 2022-11-23T01:58:23.5490388Z [ OK ] LoopNest.ScheduleSplitTwiceThenInline (0 ms) 2022-11-23T01:58:23.5490763Z [ RUN ] LoopNest.ScheduleInlineThenSplit 2022-11-23T01:58:23.5494076Z [ OK ] LoopNest.ScheduleInlineThenSplit (0 ms) 2022-11-23T01:58:23.5494462Z [ RUN ] LoopNest.ScheduleSplitInlineThenSplit 2022-11-23T01:58:23.5501724Z [ OK ] LoopNest.ScheduleSplitInlineThenSplit (0 ms) 2022-11-23T01:58:23.5502090Z [ RUN ] LoopNest.ScheduleSplitInlineSimplify 2022-11-23T01:58:23.5503407Z [ OK ] LoopNest.ScheduleSplitInlineSimplify (0 ms) 2022-11-23T01:58:23.5503783Z [ RUN ] LoopNest.ScheduleInlineThreeMixedOnce 2022-11-23T01:58:23.5508104Z [ OK ] LoopNest.ScheduleInlineThreeMixedOnce (0 ms) 2022-11-23T01:58:23.5508469Z [ RUN ] LoopNest.ScheduleInlineThreeMixedTwice 2022-11-23T01:58:23.5512748Z [ OK ] LoopNest.ScheduleInlineThreeMixedTwice (0 ms) 2022-11-23T01:58:23.5513229Z [ RUN ] LoopNest.ScheduleInlineThreeMixedInner 2022-11-23T01:58:23.5517744Z [ OK ] LoopNest.ScheduleInlineThreeMixedInner (0 ms) 2022-11-23T01:58:23.5518128Z [ RUN ] LoopNest.ScheduleInlineThreeMixedSplit 2022-11-23T01:58:23.5520258Z [ OK ] LoopNest.ScheduleInlineThreeMixedSplit (0 ms) 2022-11-23T01:58:23.5520632Z [ RUN ] LoopNest.ScheduleInlineOutputTensors 2022-11-23T01:58:23.5525025Z [ OK ] LoopNest.ScheduleInlineOutputTensors (0 ms) 2022-11-23T01:58:23.5525425Z [ RUN ] LoopNest.ScheduleInlineWithCompoundIndices 2022-11-23T01:58:23.5538792Z [ OK ] LoopNest.ScheduleInlineWithCompoundIndices (1 ms) 2022-11-23T01:58:23.5539367Z [ RUN ] LoopNest.ScheduleInlineConsumerIndicesWithCast 2022-11-23T01:58:23.5540231Z [ OK ] LoopNest.ScheduleInlineConsumerIndicesWithCast (0 ms) 2022-11-23T01:58:23.5540715Z [ RUN ] LoopNest.ScheduleInlineProducerIndicesWithCast 2022-11-23T01:58:23.5541163Z [ OK ] LoopNest.ScheduleInlineProducerIndicesWithCast (0 ms) 2022-11-23T01:58:23.5541525Z [ RUN ] LoopNest.ScheduleFuserStyle 2022-11-23T01:58:23.5594142Z [ OK ] LoopNest.ScheduleFuserStyle (5 ms) 2022-11-23T01:58:23.5594509Z [ RUN ] LoopNest.ScheduleFuserThreeArg 2022-11-23T01:58:23.5655159Z [ OK ] LoopNest.ScheduleFuserThreeArg (6 ms) 2022-11-23T01:58:23.5655504Z [ RUN ] LoopNest.ScheduleDynamicShape2D 2022-11-23T01:58:23.5768585Z [ OK ] LoopNest.ScheduleDynamicShape2D (11 ms) 2022-11-23T01:58:23.5768940Z [ RUN ] LoopNest.LoopNestComputeAt_1 2022-11-23T01:58:23.5777223Z [ OK ] LoopNest.LoopNestComputeAt_1 (0 ms) 2022-11-23T01:58:23.5777544Z [ RUN ] LoopNest.LoopNestComputeAt_2 2022-11-23T01:58:23.6274133Z [ OK ] LoopNest.LoopNestComputeAt_2 (49 ms) 2022-11-23T01:58:23.6274733Z [ RUN ] LoopNest.LoopNestComputeAt_3 2022-11-23T01:58:23.6768137Z [ OK ] LoopNest.LoopNestComputeAt_3 (49 ms) 2022-11-23T01:58:23.6768734Z [ RUN ] LoopNest.Reduce2dComputeAt 2022-11-23T01:58:23.7591293Z [ OK ] LoopNest.Reduce2dComputeAt (82 ms) 2022-11-23T01:58:23.7591830Z [ RUN ] LoopNest.LoopNestReorderAxis1 2022-11-23T01:58:23.7593503Z [ OK ] LoopNest.LoopNestReorderAxis1 (0 ms) 2022-11-23T01:58:23.7594113Z [ RUN ] LoopNest.LoopNestReorderPartialAxes 2022-11-23T01:58:23.7605021Z [ OK ] LoopNest.LoopNestReorderPartialAxes (1 ms) 2022-11-23T01:58:23.7605705Z [ RUN ] LoopNest.LoopNestReorderInternalAxis 2022-11-23T01:58:23.7615283Z [ OK ] LoopNest.LoopNestReorderInternalAxis (1 ms) 2022-11-23T01:58:23.7615954Z [ RUN ] LoopNest.LoopNestReorderEnclosingAxis 2022-11-23T01:58:23.7625337Z [ OK ] LoopNest.LoopNestReorderEnclosingAxis (1 ms) 2022-11-23T01:58:23.7625966Z [ RUN ] LoopNest.LoopNestReorderSameAxis 2022-11-23T01:58:23.7626573Z [ OK ] LoopNest.LoopNestReorderSameAxis (0 ms) 2022-11-23T01:58:23.7627215Z [ RUN ] LoopNest.LoopNestReorderExtraStatements 2022-11-23T01:58:23.7642160Z [ OK ] LoopNest.LoopNestReorderExtraStatements (1 ms) 2022-11-23T01:58:23.7642877Z [ RUN ] LoopNest.LoopNestReorderLongStringOfPreOrphans 2022-11-23T01:58:23.8214364Z [ OK ] LoopNest.LoopNestReorderLongStringOfPreOrphans (57 ms) 2022-11-23T01:58:23.8214853Z [ RUN ] LoopNest.LoopNestReorderLongStringOfPostOrphans 2022-11-23T01:58:23.8796052Z [ OK ] LoopNest.LoopNestReorderLongStringOfPostOrphans (58 ms) 2022-11-23T01:58:23.8796806Z [ RUN ] LoopNest.LoopNestReorderLongStringFull 2022-11-23T01:58:23.9522373Z [ OK ] LoopNest.LoopNestReorderLongStringFull (72 ms) 2022-11-23T01:58:23.9523370Z [ RUN ] LoopNest.LoopNestReorderInternalLoopNest 2022-11-23T01:58:23.9638559Z [ OK ] LoopNest.LoopNestReorderInternalLoopNest (11 ms) 2022-11-23T01:58:23.9639205Z [ RUN ] LoopNest.OuterLoopVectorization 2022-11-23T01:58:23.9639940Z [ OK ] LoopNest.OuterLoopVectorization (0 ms) 2022-11-23T01:58:23.9640562Z [ RUN ] LoopNest.VectorizeLoopNotNormalized 2022-11-23T01:58:23.9642891Z [ OK ] LoopNest.VectorizeLoopNotNormalized (0 ms) 2022-11-23T01:58:23.9643451Z [ RUN ] LoopNest.Unroll 2022-11-23T01:58:23.9643918Z [ OK ] LoopNest.Unroll (0 ms) 2022-11-23T01:58:23.9644394Z [ RUN ] LoopNest.UnrollOuter 2022-11-23T01:58:23.9646685Z [ OK ] LoopNest.UnrollOuter (0 ms) 2022-11-23T01:58:23.9647164Z [ RUN ] LoopNest.UnrollInner 2022-11-23T01:58:23.9648219Z [ OK ] LoopNest.UnrollInner (0 ms) 2022-11-23T01:58:23.9648733Z [ RUN ] LoopNest.UnrollMultipleStatements 2022-11-23T01:58:23.9649723Z [ OK ] LoopNest.UnrollMultipleStatements (0 ms) 2022-11-23T01:58:23.9650375Z [ RUN ] LoopNest.UnrollNonLiteralConstantBounds 2022-11-23T01:58:23.9651716Z [ OK ] LoopNest.UnrollNonLiteralConstantBounds (0 ms) 2022-11-23T01:58:23.9652323Z [ RUN ] LoopNest.UnrollNonConstantBounds 2022-11-23T01:58:23.9668547Z [ OK ] LoopNest.UnrollNonConstantBounds (1 ms) 2022-11-23T01:58:23.9669193Z [ RUN ] LoopNest.UnrollByFactorsLessThan2 2022-11-23T01:58:23.9669817Z [ OK ] LoopNest.UnrollByFactorsLessThan2 (0 ms) 2022-11-23T01:58:23.9670459Z [ RUN ] LoopNest.UnrollByFactorEqualToIters 2022-11-23T01:58:23.9673274Z [ OK ] LoopNest.UnrollByFactorEqualToIters (0 ms) 2022-11-23T01:58:23.9673612Z [ RUN ] LoopNest.UnrollEmpty 2022-11-23T01:58:23.9673892Z [ OK ] LoopNest.UnrollEmpty (0 ms) 2022-11-23T01:58:23.9674169Z [ RUN ] LoopNest.NoUnroll 2022-11-23T01:58:23.9683738Z [ OK ] LoopNest.NoUnroll (1 ms) 2022-11-23T01:58:23.9684204Z [ RUN ] LoopNest.UnrollWithLet 2022-11-23T01:58:23.9685886Z [ OK ] LoopNest.UnrollWithLet (0 ms) 2022-11-23T01:58:23.9686391Z [ RUN ] LoopNest.IsNormalized 2022-11-23T01:58:23.9686903Z [ OK ] LoopNest.IsNormalized (0 ms) 2022-11-23T01:58:23.9687442Z [ RUN ] LoopNest.NormalizeStartPositive 2022-11-23T01:58:23.9689803Z [ OK ] LoopNest.NormalizeStartPositive (0 ms) 2022-11-23T01:58:23.9690407Z [ RUN ] LoopNest.NormalizeStartNegative 2022-11-23T01:58:23.9693472Z [ OK ] LoopNest.NormalizeStartNegative (0 ms) 2022-11-23T01:58:23.9693862Z [ RUN ] LoopNest.NormalizeStartZero 2022-11-23T01:58:23.9694195Z [ OK ] LoopNest.NormalizeStartZero (0 ms) 2022-11-23T01:58:23.9694516Z [ RUN ] LoopNest.NormalizeStartVariable 2022-11-23T01:58:23.9697123Z [ OK ] LoopNest.NormalizeStartVariable (0 ms) 2022-11-23T01:58:23.9697672Z [ RUN ] LoopNest.NormalizeOnNestedOuterLoop 2022-11-23T01:58:23.9699402Z [ OK ] LoopNest.NormalizeOnNestedOuterLoop (0 ms) 2022-11-23T01:58:23.9700011Z [ RUN ] LoopNest.NormalizeOnNestedInnerLoop 2022-11-23T01:58:23.9701743Z [ OK ] LoopNest.NormalizeOnNestedInnerLoop (0 ms) 2022-11-23T01:58:23.9702347Z [ RUN ] LoopNest.NormalizeAndSplitWithTail 2022-11-23T01:58:23.9706078Z [ OK ] LoopNest.NormalizeAndSplitWithTail (0 ms) 2022-11-23T01:58:23.9706544Z [ RUN ] LoopNest.NotNormalizeAndSplitWithTail 2022-11-23T01:58:23.9711088Z [ OK ] LoopNest.NotNormalizeAndSplitWithTail (0 ms) 2022-11-23T01:58:23.9711677Z [ RUN ] LoopNest.FlattenSimpleLoopNest2D 2022-11-23T01:58:23.9721577Z [ OK ] LoopNest.FlattenSimpleLoopNest2D (1 ms) 2022-11-23T01:58:23.9722175Z [ RUN ] LoopNest.FlattenSimpleLoopNest3D 2022-11-23T01:58:23.9806003Z [ OK ] LoopNest.FlattenSimpleLoopNest3D (8 ms) 2022-11-23T01:58:23.9806659Z [ RUN ] LoopNest.FlattenLoopNestAfterNormalize 2022-11-23T01:58:23.9832027Z [ OK ] LoopNest.FlattenLoopNestAfterNormalize (2 ms) 2022-11-23T01:58:23.9832673Z [ RUN ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds 2022-11-23T01:58:23.9844033Z [ OK ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds (1 ms) 2022-11-23T01:58:23.9844619Z [ RUN ] LoopNest.FlattenImperfectLoopNest 2022-11-23T01:58:23.9845301Z [ OK ] LoopNest.FlattenImperfectLoopNest (0 ms) 2022-11-23T01:58:23.9845707Z [ RUN ] LoopNest.FlattenReductionLoopNest 2022-11-23T01:58:23.9846054Z [ OK ] LoopNest.FlattenReductionLoopNest (0 ms) 2022-11-23T01:58:23.9846414Z [ RUN ] LoopNest.FlattenReductionLoopNestFromTensor 2022-11-23T01:58:23.9846887Z [ OK ] LoopNest.FlattenReductionLoopNestFromTensor (0 ms) 2022-11-23T01:58:23.9847398Z [ RUN ] LoopNest.FlattenIncorrectLoopsAsInput 2022-11-23T01:58:23.9847890Z [ OK ] LoopNest.FlattenIncorrectLoopsAsInput (0 ms) 2022-11-23T01:58:23.9848532Z [ RUN ] LoopNest.DetectInlineRankMismatch 2022-11-23T01:58:23.9848915Z [ OK ] LoopNest.DetectInlineRankMismatch (0 ms) 2022-11-23T01:58:23.9849231Z [ RUN ] LoopNest.CacheReadsSimple 2022-11-23T01:58:24.0211998Z [ OK ] LoopNest.CacheReadsSimple (36 ms) 2022-11-23T01:58:24.0212463Z [ RUN ] LoopNest.CacheReadsOuter 2022-11-23T01:58:24.0600567Z [ OK ] LoopNest.CacheReadsOuter (38 ms) 2022-11-23T01:58:24.0600998Z [ RUN ] LoopNest.CacheReadsInternal 2022-11-23T01:58:24.1016757Z [ OK ] LoopNest.CacheReadsInternal (41 ms) 2022-11-23T01:58:24.1017107Z [ RUN ] LoopNest.CacheReadsInner 2022-11-23T01:58:24.1666253Z [ OK ] LoopNest.CacheReadsInner (64 ms) 2022-11-23T01:58:24.1666583Z [ RUN ] LoopNest.CacheWritesSimple 2022-11-23T01:58:24.2402090Z [ OK ] LoopNest.CacheWritesSimple (73 ms) 2022-11-23T01:58:24.2402435Z [ RUN ] LoopNest.DeadStoreElimination 2022-11-23T01:58:24.2416241Z [ OK ] LoopNest.DeadStoreElimination (1 ms) 2022-11-23T01:58:24.2416662Z [ RUN ] LoopNest.DeadStoreEliminationWithIntermediates 2022-11-23T01:58:24.2429089Z [ OK ] LoopNest.DeadStoreEliminationWithIntermediates (1 ms) 2022-11-23T01:58:24.2429543Z [ RUN ] LoopNest.CompoundTensorSimple 2022-11-23T01:58:24.2441583Z [ OK ] LoopNest.CompoundTensorSimple (1 ms) 2022-11-23T01:58:24.2441915Z [ RUN ] LoopNest.InlineConstantIndex 2022-11-23T01:58:24.2445308Z [ OK ] LoopNest.InlineConstantIndex (0 ms) 2022-11-23T01:58:24.2445625Z [ RUN ] LoopNest.CompoundTensorUsed 2022-11-23T01:58:24.2467744Z [ OK ] LoopNest.CompoundTensorUsed (2 ms) 2022-11-23T01:58:24.2468079Z [ RUN ] LoopNest.InlineFromLoad 2022-11-23T01:58:24.2468419Z [ OK ] LoopNest.InlineFromLoad (0 ms) 2022-11-23T01:58:24.2468776Z [ RUN ] LoopNest.OptimizeConditionalsSimple 2022-11-23T01:58:24.2469484Z [ OK ] LoopNest.OptimizeConditionalsSimple (0 ms) 2022-11-23T01:58:24.2469936Z [ RUN ] LoopNest.OptimizeConditionalsNestedConditions 2022-11-23T01:58:24.2472065Z [ OK ] LoopNest.OptimizeConditionalsNestedConditions (0 ms) 2022-11-23T01:58:24.2472488Z [ RUN ] LoopNest.OptimizeConditionalsMultipleStores 2022-11-23T01:58:24.2474480Z [ OK ] LoopNest.OptimizeConditionalsMultipleStores (0 ms) 2022-11-23T01:58:24.2474928Z [ RUN ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop 2022-11-23T01:58:24.2479433Z [ OK ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop (0 ms) 2022-11-23T01:58:24.2479962Z [ RUN ] LoopNest.OptimizeConditionalsOuterLoopVar 2022-11-23T01:58:24.2482702Z [ OK ] LoopNest.OptimizeConditionalsOuterLoopVar (0 ms) 2022-11-23T01:58:24.2483125Z [ RUN ] LoopNest.OptimizeConditionalsCompValuesNotOrdered 2022-11-23T01:58:24.2486112Z [ OK ] LoopNest.OptimizeConditionalsCompValuesNotOrdered (0 ms) 2022-11-23T01:58:24.2486577Z [ RUN ] LoopNest.OptimizeConditionalsCompValuesNotConstants 2022-11-23T01:58:24.2488931Z [ OK ] LoopNest.OptimizeConditionalsCompValuesNotConstants (0 ms) 2022-11-23T01:58:24.2489363Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition 2022-11-23T01:58:24.2492116Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition (0 ms) 2022-11-23T01:58:24.2492536Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition2 2022-11-23T01:58:24.2495249Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition2 (0 ms) 2022-11-23T01:58:24.2495678Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition3 2022-11-23T01:58:24.2498136Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition3 (0 ms) 2022-11-23T01:58:24.2498558Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition4 2022-11-23T01:58:24.2500615Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition4 (0 ms) 2022-11-23T01:58:24.2501079Z [ RUN ] LoopNest.OptimizeConditionalsNotNormalized 2022-11-23T01:58:24.2502266Z [ OK ] LoopNest.OptimizeConditionalsNotNormalized (0 ms) 2022-11-23T01:58:24.3958138Z [ RUN ] LoopNest.ColReduceSplitTailEvenReorder 2022-11-23T01:58:24.3958614Z [ OK ] LoopNest.ColReduceSplitTailEvenReorder (145 ms) 2022-11-23T01:58:24.3959067Z [ RUN ] LoopNest.ColReduceSplitTailUnevenReorder 2022-11-23T01:58:24.5112925Z [ OK ] LoopNest.ColReduceSplitTailUnevenReorder (115 ms) 2022-11-23T01:58:24.5113358Z [ RUN ] LoopNest.ColReduceSplitMaskEvenReorder 2022-11-23T01:58:24.6571565Z [ OK ] LoopNest.ColReduceSplitMaskEvenReorder (145 ms) 2022-11-23T01:58:24.6572004Z [ RUN ] LoopNest.ColReduceSplitMaskUnevenReorder 2022-11-23T01:58:24.7877294Z [ OK ] LoopNest.ColReduceSplitMaskUnevenReorder (130 ms) 2022-11-23T01:58:24.7877760Z [ RUN ] LoopNest.ReorderAxisWithMultipleConds 2022-11-23T01:58:24.7879359Z [ OK ] LoopNest.ReorderAxisWithMultipleConds (0 ms) 2022-11-23T01:58:24.7879937Z [ RUN ] LoopNest.VectorizeUse 2022-11-23T01:58:24.7880859Z [ OK ] LoopNest.VectorizeUse (0 ms) 2022-11-23T01:58:24.7881396Z [ RUN ] LoopNest.Int64Direct 2022-11-23T01:58:24.7881899Z [ OK ] LoopNest.Int64Direct (0 ms) 2022-11-23T01:58:24.7882359Z [ RUN ] LoopNest.Int64Compute 2022-11-23T01:58:24.7882791Z [ OK ] LoopNest.Int64Compute (0 ms) 2022-11-23T01:58:24.7883335Z [ RUN ] LoopNest.DistributeLoopWithAllStmtsAsPivots 2022-11-23T01:58:24.7884637Z [ OK ] LoopNest.DistributeLoopWithAllStmtsAsPivots (0 ms) 2022-11-23T01:58:24.7885400Z [ RUN ] LoopNest.DistributeLoopWithOneStmtAsPivot 2022-11-23T01:58:24.7886022Z [ OK ] LoopNest.DistributeLoopWithOneStmtAsPivot (0 ms) 2022-11-23T01:58:24.7886411Z [ RUN ] LoopNest.DistributeLoopWithoutAnyPivot 2022-11-23T01:58:24.7887066Z [ OK ] LoopNest.DistributeLoopWithoutAnyPivot (0 ms) 2022-11-23T01:58:24.7887640Z [ RUN ] LoopNest.DistributeLoopOverInnerLoops 2022-11-23T01:58:24.7888007Z [ OK ] LoopNest.DistributeLoopOverInnerLoops (0 ms) 2022-11-23T01:58:24.7888489Z [ RUN ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot 2022-11-23T01:58:24.7888989Z [ OK ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot (0 ms) 2022-11-23T01:58:24.7889605Z [ RUN ] LoopNest.fuseLoopsSimple 2022-11-23T01:58:24.7890303Z [ OK ] LoopNest.fuseLoopsSimple (0 ms) 2022-11-23T01:58:24.7890655Z [ RUN ] LoopNest.fuseLoopsMultiple 2022-11-23T01:58:24.7895218Z [ OK ] LoopNest.fuseLoopsMultiple (0 ms) 2022-11-23T01:58:24.7895558Z [ RUN ] LoopNest.fuseLoopsNested 2022-11-23T01:58:24.7902413Z [ OK ] LoopNest.fuseLoopsNested (0 ms) 2022-11-23T01:58:24.7902757Z [ RUN ] LoopNest.fuseLoopsNested2D 2022-11-23T01:58:24.7905871Z [ OK ] LoopNest.fuseLoopsNested2D (0 ms) 2022-11-23T01:58:24.7906244Z [ RUN ] LoopNest.fuseLoopsNested2DInner 2022-11-23T01:58:24.7908377Z [ OK ] LoopNest.fuseLoopsNested2DInner (0 ms) 2022-11-23T01:58:24.7908811Z [ RUN ] LoopNest.fuseLoopsDifferentStopBounds 2022-11-23T01:58:24.7909191Z [ OK ] LoopNest.fuseLoopsDifferentStopBounds (0 ms) 2022-11-23T01:58:24.7909648Z [ RUN ] LoopNest.fuseLoopsDifferentStartBounds 2022-11-23T01:58:24.7910190Z [ OK ] LoopNest.fuseLoopsDifferentStartBounds (0 ms) 2022-11-23T01:58:24.7910601Z [ RUN ] LoopNest.fuseLoopsNotContiguous 2022-11-23T01:58:24.7910925Z [ OK ] LoopNest.fuseLoopsNotContiguous (0 ms) 2022-11-23T01:58:24.7911392Z [ RUN ] LoopNest.fuseLoopsWithDifferentParents 2022-11-23T01:58:24.7911810Z [ OK ] LoopNest.fuseLoopsWithDifferentParents (0 ms) 2022-11-23T01:58:24.7912185Z [ RUN ] LoopNest.fuseLoopsWithVariableBounds 2022-11-23T01:58:24.7914401Z [ OK ] LoopNest.fuseLoopsWithVariableBounds (0 ms) 2022-11-23T01:58:24.7914756Z [ RUN ] LoopNest.fuseLoopsWithExprBounds 2022-11-23T01:58:24.7919853Z [ OK ] LoopNest.fuseLoopsWithExprBounds (0 ms) 2022-11-23T01:58:24.7920211Z [ RUN ] LoopNest.fuseLoopsWithDifferentExprBounds 2022-11-23T01:58:24.7924296Z [ OK ] LoopNest.fuseLoopsWithDifferentExprBounds (0 ms) 2022-11-23T01:58:24.7924726Z [ RUN ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses 2022-11-23T01:58:24.7928891Z [ OK ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses (0 ms) 2022-11-23T01:58:24.7929393Z [ RUN ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses 2022-11-23T01:58:24.7937256Z [ OK ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses (0 ms) 2022-11-23T01:58:24.7937755Z [ RUN ] LoopNest.fuseLoopsWithReductions 2022-11-23T01:58:24.7942412Z [ OK ] LoopNest.fuseLoopsWithReductions (0 ms) 2022-11-23T01:58:24.7942810Z [ RUN ] LoopNest.fuseLoopsWith2DReductions 2022-11-23T01:58:24.7951639Z [ OK ] LoopNest.fuseLoopsWith2DReductions (0 ms) 2022-11-23T01:58:24.7952025Z [ RUN ] LoopNest.fuseLoopsWithComplexIndices 2022-11-23T01:58:24.7960110Z [ OK ] LoopNest.fuseLoopsWithComplexIndices (0 ms) 2022-11-23T01:58:24.7960526Z [ RUN ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices 2022-11-23T01:58:24.7971697Z [ OK ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices (1 ms) 2022-11-23T01:58:24.7972374Z [ RUN ] LoopNest.fuseLoopsWithTranspose 2022-11-23T01:58:24.7977614Z [ OK ] LoopNest.fuseLoopsWithTranspose (0 ms) 2022-11-23T01:58:24.7977989Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies1 2022-11-23T01:58:24.7982389Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies1 (0 ms) 2022-11-23T01:58:24.7982785Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies2 2022-11-23T01:58:24.7986637Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies2 (0 ms) 2022-11-23T01:58:24.7987040Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies3 2022-11-23T01:58:24.7994883Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies3 (0 ms) 2022-11-23T01:58:24.7995393Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies4 2022-11-23T01:58:24.8005134Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies4 (0 ms) 2022-11-23T01:58:24.8005546Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies5 2022-11-23T01:58:24.8010234Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies5 (0 ms) 2022-11-23T01:58:24.8010624Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies6 2022-11-23T01:58:24.8015342Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies6 (0 ms) 2022-11-23T01:58:24.8015748Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies7 2022-11-23T01:58:24.8021091Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies7 (0 ms) 2022-11-23T01:58:24.8021752Z [ RUN ] LoopNest.areLoopsPerfectlyNested 2022-11-23T01:58:24.8022513Z [ OK ] LoopNest.areLoopsPerfectlyNested (0 ms) 2022-11-23T01:58:24.8023084Z [ RUN ] LoopNest.reorderNestedLoops2D 2022-11-23T01:58:24.8023714Z [ OK ] LoopNest.reorderNestedLoops2D (0 ms) 2022-11-23T01:58:24.8024274Z [ RUN ] LoopNest.reorderNestedLoops3D 2022-11-23T01:58:24.8024663Z [ OK ] LoopNest.reorderNestedLoops3D (0 ms) 2022-11-23T01:58:24.8025012Z [ RUN ] LoopNest.reorderNestedLoops4D 2022-11-23T01:58:24.8025401Z [ OK ] LoopNest.reorderNestedLoops4D (0 ms) 2022-11-23T01:58:24.8025820Z [ RUN ] LoopNest.reorderTrivialPermutation 2022-11-23T01:58:24.8026431Z [ OK ] LoopNest.reorderTrivialPermutation (0 ms) 2022-11-23T01:58:24.8027063Z [ RUN ] LoopNest.reorderInvalidPermutations 2022-11-23T01:58:24.8027725Z [ OK ] LoopNest.reorderInvalidPermutations (0 ms) 2022-11-23T01:58:24.8028137Z [ RUN ] LoopNest.reorderInvalidLoopNest 2022-11-23T01:58:24.8028686Z [ OK ] LoopNest.reorderInvalidLoopNest (0 ms) 2022-11-23T01:58:24.8029233Z [ RUN ] LoopNest.compressBufferSimple 2022-11-23T01:58:24.8029565Z [ OK ] LoopNest.compressBufferSimple (0 ms) 2022-11-23T01:58:24.8029888Z [ RUN ] LoopNest.compressBufferMultipleDims 2022-11-23T01:58:24.8030239Z [ OK ] LoopNest.compressBufferMultipleDims (0 ms) 2022-11-23T01:58:24.8030592Z [ RUN ] LoopNest.compressBufferMultipleDims2 2022-11-23T01:58:24.8030963Z [ OK ] LoopNest.compressBufferMultipleDims2 (0 ms) 2022-11-23T01:58:24.8031337Z [ RUN ] LoopNest.compressBufferDifferentOrderIndices 2022-11-23T01:58:24.8031745Z [ OK ] LoopNest.compressBufferDifferentOrderIndices (0 ms) 2022-11-23T01:58:24.8032128Z [ RUN ] LoopNest.compressBufferVariableBounds 2022-11-23T01:58:24.8032478Z [ OK ] LoopNest.compressBufferVariableBounds (0 ms) 2022-11-23T01:58:24.8032857Z [ RUN ] LoopNest.compressBufferNoCommonParentLoops 2022-11-23T01:58:24.8033254Z [ OK ] LoopNest.compressBufferNoCommonParentLoops (0 ms) 2022-11-23T01:58:24.8033628Z [ RUN ] LoopNest.compressBufferIndicesMixed 2022-11-23T01:58:24.8033967Z [ OK ] LoopNest.compressBufferIndicesMixed (0 ms) 2022-11-23T01:58:24.8034307Z [ RUN ] LoopNest.compressMultipleBuffers 2022-11-23T01:58:24.8034646Z [ OK ] LoopNest.compressMultipleBuffers (0 ms) 2022-11-23T01:58:24.8034939Z [ RUN ] LoopNest.sanitizeNames 2022-11-23T01:58:24.8044134Z [ OK ] LoopNest.sanitizeNames (1 ms) 2022-11-23T01:58:24.8044634Z [----------] 174 tests from LoopNest (1692 ms total) 2022-11-23T01:58:24.8044923Z 2022-11-23T01:58:24.8045082Z [----------] 31 tests from MemDependency 2022-11-23T01:58:24.8045361Z [ RUN ] MemDependency.BoundOverlap 2022-11-23T01:58:24.8055230Z [ OK ] MemDependency.BoundOverlap (1 ms) 2022-11-23T01:58:24.8055614Z [ RUN ] MemDependency.BoundComparison 2022-11-23T01:58:24.8063660Z [ OK ] MemDependency.BoundComparison (0 ms) 2022-11-23T01:58:24.8064067Z [ RUN ] MemDependency.BoundOverlapSymbolic 2022-11-23T01:58:24.8072554Z [ OK ] MemDependency.BoundOverlapSymbolic (0 ms) 2022-11-23T01:58:24.8072968Z [ RUN ] MemDependency.BoundOverlapMultiDim 2022-11-23T01:58:24.8081300Z [ OK ] MemDependency.BoundOverlapMultiDim (0 ms) 2022-11-23T01:58:24.8081699Z [ RUN ] MemDependency.BoundSubtract 2022-11-23T01:58:24.8088870Z [ OK ] MemDependency.BoundSubtract (0 ms) 2022-11-23T01:58:24.8089272Z [ RUN ] MemDependency.BoundSubtractSymbolic 2022-11-23T01:58:24.8110354Z [ OK ] MemDependency.BoundSubtractSymbolic (2 ms) 2022-11-23T01:58:24.8110777Z [ RUN ] MemDependency.BoundSubtractMultiDim 2022-11-23T01:58:24.8135153Z [ OK ] MemDependency.BoundSubtractMultiDim (2 ms) 2022-11-23T01:58:24.8135581Z [ RUN ] MemDependency.BoundSubtractMultiDimSymbolic 2022-11-23T01:58:24.8168589Z [ OK ] MemDependency.BoundSubtractMultiDimSymbolic (3 ms) 2022-11-23T01:58:24.8169189Z [ RUN ] MemDependency.MemDependencyCheckerSimple 2022-11-23T01:58:24.8169661Z [ OK ] MemDependency.MemDependencyCheckerSimple (0 ms) 2022-11-23T01:58:24.8170322Z [ RUN ] MemDependency.MemDependencyCheckerMultiStmt 2022-11-23T01:58:24.8170851Z [ OK ] MemDependency.MemDependencyCheckerMultiStmt (0 ms) 2022-11-23T01:58:24.8171342Z [ RUN ] MemDependency.MemDependencyCheckerOverlap 2022-11-23T01:58:24.8171777Z [ OK ] MemDependency.MemDependencyCheckerOverlap (0 ms) 2022-11-23T01:58:24.8172235Z [ RUN ] MemDependency.MemDependencyCheckerLoop 2022-11-23T01:58:24.8172617Z [ OK ] MemDependency.MemDependencyCheckerLoop (0 ms) 2022-11-23T01:58:24.8172994Z [ RUN ] MemDependency.MemDependencyCheckerLoopReduce 2022-11-23T01:58:24.8174951Z [ OK ] MemDependency.MemDependencyCheckerLoopReduce (0 ms) 2022-11-23T01:58:24.8175449Z [ RUN ] MemDependency.MemDependencyCheckerLoopReduceExpanded 2022-11-23T01:58:24.8177653Z [ OK ] MemDependency.MemDependencyCheckerLoopReduceExpanded (0 ms) 2022-11-23T01:58:24.8178161Z [ RUN ] MemDependency.MemDependencyCheckerInputsOutputs 2022-11-23T01:58:24.8179573Z [ OK ] MemDependency.MemDependencyCheckerInputsOutputs (0 ms) 2022-11-23T01:58:24.8181026Z [ RUN ] MemDependency.MemDependencyCheckerOutputDoesntDepend 2022-11-23T01:58:24.8181563Z [ OK ] MemDependency.MemDependencyCheckerOutputDoesntDepend (0 ms) 2022-11-23T01:58:24.8181987Z [ RUN ] MemDependency.MemDependencyCheckerLoopBounds 2022-11-23T01:58:24.8191801Z [ OK ] MemDependency.MemDependencyCheckerLoopBounds (1 ms) 2022-11-23T01:58:24.8192311Z [ RUN ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift 2022-11-23T01:58:24.8228090Z [ OK ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift (3 ms) 2022-11-23T01:58:24.8228577Z [ RUN ] MemDependency.MemDependencyCheckerLoopSelfDependency 2022-11-23T01:58:24.8365980Z [ OK ] MemDependency.MemDependencyCheckerLoopSelfDependency (13 ms) 2022-11-23T01:58:24.8366469Z [ RUN ] MemDependency.MemDependencyCheckerLoopDistinctStrides 2022-11-23T01:58:24.8374990Z [ OK ] MemDependency.MemDependencyCheckerLoopDistinctStrides (0 ms) 2022-11-23T01:58:24.8375458Z [ RUN ] MemDependency.MemDependencyCheckerLoopBoundsCond 2022-11-23T01:58:24.8392292Z [ OK ] MemDependency.MemDependencyCheckerLoopBoundsCond (1 ms) 2022-11-23T01:58:24.8392719Z [ RUN ] MemDependency.MemDependencyCheckerIfThenElse 2022-11-23T01:58:24.8403982Z [ OK ] MemDependency.MemDependencyCheckerIfThenElse (1 ms) 2022-11-23T01:58:24.8404507Z [ RUN ] MemDependency.MemDependencyCheckerCutLoop 2022-11-23T01:58:24.8422557Z [ OK ] MemDependency.MemDependencyCheckerCutLoop (1 ms) 2022-11-23T01:58:24.8423031Z [ RUN ] MemDependency.MemDependencyCheckerDynamicShapes 2022-11-23T01:58:24.8449916Z [ OK ] MemDependency.MemDependencyCheckerDynamicShapes (2 ms) 2022-11-23T01:58:24.8450406Z [ RUN ] MemDependency.MemDependencyCheckerMultiDim 2022-11-23T01:58:24.8484087Z [ OK ] MemDependency.MemDependencyCheckerMultiDim (3 ms) 2022-11-23T01:58:24.8484495Z [ RUN ] MemDependency.MemDependencyCheckerComputeAPI 2022-11-23T01:58:24.8495003Z [ OK ] MemDependency.MemDependencyCheckerComputeAPI (1 ms) 2022-11-23T01:58:24.8495435Z [ RUN ] MemDependency.MemDependencyCheckerComputeInline 2022-11-23T01:58:24.8503087Z [ OK ] MemDependency.MemDependencyCheckerComputeInline (0 ms) 2022-11-23T01:58:24.8503506Z [ RUN ] MemDependency.MemDependencyCheckerComputeSplit 2022-11-23T01:58:24.8525193Z [ OK ] MemDependency.MemDependencyCheckerComputeSplit (2 ms) 2022-11-23T01:58:24.8525633Z [ RUN ] MemDependency.MemDependencyCheckerComputeReorder 2022-11-23T01:58:24.8539132Z [ OK ] MemDependency.MemDependencyCheckerComputeReorder (1 ms) 2022-11-23T01:58:24.8539558Z [ RUN ] MemDependency.MemDependencyCheckerComputeReduce 2022-11-23T01:58:24.8550337Z [ OK ] MemDependency.MemDependencyCheckerComputeReduce (1 ms) 2022-11-23T01:58:24.8550774Z [ RUN ] MemDependency.MemDependencyCheckerComputeGEMM 2022-11-23T01:58:24.8714574Z [ OK ] MemDependency.MemDependencyCheckerComputeGEMM (16 ms) 2022-11-23T01:58:24.8714997Z [----------] 31 tests from MemDependency (66 ms total) 2022-11-23T01:58:24.8715160Z 2022-11-23T01:58:24.8715293Z [----------] 2 tests from Ops 2022-11-23T01:58:24.8715533Z [ RUN ] Ops.Sum 2022-11-23T01:58:24.8755617Z [ OK ] Ops.Sum (4 ms) 2022-11-23T01:58:24.8755883Z [ RUN ] Ops.ChannelsLastSum 2022-11-23T01:58:24.9858729Z [ OK ] Ops.ChannelsLastSum (110 ms) 2022-11-23T01:58:24.9859266Z [----------] 2 tests from Ops (114 ms total) 2022-11-23T01:58:24.9859511Z 2022-11-23T01:58:24.9859770Z [----------] 10 tests from Quantization 2022-11-23T01:58:24.9860310Z [ RUN ] Quantization.QuantDequantInt8 2022-11-23T01:58:25.0130543Z [ OK ] Quantization.QuantDequantInt8 (27 ms) 2022-11-23T01:58:25.0130912Z [ RUN ] Quantization.QuantDequantUInt8 2022-11-23T01:58:25.0395217Z [ OK ] Quantization.QuantDequantUInt8 (26 ms) 2022-11-23T01:58:25.0395608Z [ RUN ] Quantization.QuantDequantUInt8_NLC 2022-11-23T01:58:25.0667082Z [ OK ] Quantization.QuantDequantUInt8_NLC (27 ms) 2022-11-23T01:58:25.0667595Z [ RUN ] Quantization.QuantAddDequantInt8 2022-11-23T01:58:25.0973874Z [ OK ] Quantization.QuantAddDequantInt8 (30 ms) 2022-11-23T01:58:25.0974535Z [ RUN ] Quantization.QuantAddDequantUInt8 2022-11-23T01:58:25.1275014Z [ OK ] Quantization.QuantAddDequantUInt8 (30 ms) 2022-11-23T01:58:25.1275495Z [ RUN ] Quantization.QuantSigmoidDequantUInt8 2022-11-23T01:58:25.1617750Z [ OK ] Quantization.QuantSigmoidDequantUInt8 (34 ms) 2022-11-23T01:58:25.1618252Z [ RUN ] Quantization.QuantMulDequantUInt8 2022-11-23T01:58:25.2025286Z [ OK ] Quantization.QuantMulDequantUInt8 (40 ms) 2022-11-23T01:58:25.2025811Z [ RUN ] Quantization.QuantUpsampleNearst2dDequantUInt8 2022-11-23T01:58:25.2492860Z [ OK ] Quantization.QuantUpsampleNearst2dDequantUInt8 (46 ms) 2022-11-23T01:58:25.2493360Z [ RUN ] Quantization.UpsampleNearst2d 2022-11-23T01:58:25.2796735Z [ OK ] Quantization.UpsampleNearst2d (30 ms) 2022-11-23T01:58:25.2797446Z [ RUN ] Quantization.QuantCatDequantUInt8 2022-11-23T01:58:25.3408099Z [ OK ] Quantization.QuantCatDequantUInt8 (60 ms) 2022-11-23T01:58:25.3408601Z [----------] 10 tests from Quantization (354 ms total) 2022-11-23T01:58:25.3408803Z 2022-11-23T01:58:25.3408999Z [----------] 2 tests from BufLiveRange 2022-11-23T01:58:25.3409368Z [ RUN ] BufLiveRange.SingleRangeLine 2022-11-23T01:58:25.3409781Z [ OK ] BufLiveRange.SingleRangeLine (0 ms) 2022-11-23T01:58:25.3410183Z [ RUN ] BufLiveRange.MulRangeLine 2022-11-23T01:58:25.3410559Z [ OK ] BufLiveRange.MulRangeLine (0 ms) 2022-11-23T01:58:25.3410978Z [----------] 2 tests from BufLiveRange (0 ms total) 2022-11-23T01:58:25.3411172Z 2022-11-23T01:58:25.3411364Z [----------] 6 tests from MemPlanning 2022-11-23T01:58:25.3411755Z [ RUN ] MemPlanning.MemReuseWithTypeCast 2022-11-23T01:58:25.4054160Z [ OK ] MemPlanning.MemReuseWithTypeCast (64 ms) 2022-11-23T01:58:25.4054543Z [ RUN ] MemPlanning.NoMemReuseForLargerType 2022-11-23T01:58:25.4798588Z [ OK ] MemPlanning.NoMemReuseForLargerType (74 ms) 2022-11-23T01:58:25.4798944Z [ RUN ] MemPlanning.SameBufSizeMemReuse 2022-11-23T01:58:25.7399802Z [ OK ] MemPlanning.SameBufSizeMemReuse (260 ms) 2022-11-23T01:58:25.7400196Z [ RUN ] MemPlanning.SameBufSizeMultiMemReuses 2022-11-23T01:58:26.0042190Z [ OK ] MemPlanning.SameBufSizeMultiMemReuses (264 ms) 2022-11-23T01:58:26.0042638Z [ RUN ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf 2022-11-23T01:58:26.3428652Z [ OK ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf (338 ms) 2022-11-23T01:58:26.3429147Z [ RUN ] MemPlanning.SmallerBufSizeNonMemReuse 2022-11-23T01:58:26.4906226Z [ OK ] MemPlanning.SmallerBufSizeNonMemReuse (147 ms) 2022-11-23T01:58:26.4906973Z [----------] 6 tests from MemPlanning (1149 ms total) 2022-11-23T01:58:26.4907233Z 2022-11-23T01:58:26.4907430Z [----------] 45 tests from Reductions 2022-11-23T01:58:26.4907718Z [ RUN ] Reductions.ReduceSum0D_1 2022-11-23T01:58:26.4908104Z [ OK ] Reductions.ReduceSum0D_1 (0 ms) 2022-11-23T01:58:26.4908601Z [ RUN ] Reductions.ReduceSum0D_2 2022-11-23T01:58:26.4909080Z [ OK ] Reductions.ReduceSum0D_2 (0 ms) 2022-11-23T01:58:26.4909374Z [ RUN ] Reductions.ReduceSum1D 2022-11-23T01:58:26.4909657Z [ OK ] Reductions.ReduceSum1D (0 ms) 2022-11-23T01:58:26.4909940Z [ RUN ] Reductions.ReduceSum2D 2022-11-23T01:58:26.4913079Z [ OK ] Reductions.ReduceSum2D (0 ms) 2022-11-23T01:58:26.4913604Z [ RUN ] Reductions.ReduceSum3D 2022-11-23T01:58:26.4944568Z [ OK ] Reductions.ReduceSum3D (3 ms) 2022-11-23T01:58:26.4945109Z [ RUN ] Reductions.ReduceSum10D 2022-11-23T01:58:27.1687855Z [ OK ] Reductions.ReduceSum10D (674 ms) 2022-11-23T01:58:27.1688202Z [ RUN ] Reductions.ReduceProduct 2022-11-23T01:58:27.1690335Z [ OK ] Reductions.ReduceProduct (0 ms) 2022-11-23T01:58:27.1690665Z [ RUN ] Reductions.ReduceMax 2022-11-23T01:58:27.1694348Z [ OK ] Reductions.ReduceMax (0 ms) 2022-11-23T01:58:27.1694750Z [ RUN ] Reductions.ReduceMinCustomInitializer 2022-11-23T01:58:27.1696420Z [ OK ] Reductions.ReduceMinCustomInitializer (0 ms) 2022-11-23T01:58:27.1696765Z [ RUN ] Reductions.ReduceAnyAll 2022-11-23T01:58:27.1717686Z [ OK ] Reductions.ReduceAnyAll (2 ms) 2022-11-23T01:58:27.1717993Z [ RUN ] Reductions.ReduceMatmul2D 2022-11-23T01:58:27.1727047Z [ OK ] Reductions.ReduceMatmul2D (0 ms) 2022-11-23T01:58:27.1727358Z [ RUN ] Reductions.ReduceRfactorLike 2022-11-23T01:58:27.1738225Z [ OK ] Reductions.ReduceRfactorLike (1 ms) 2022-11-23T01:58:27.1738526Z [ RUN ] Reductions.ReduceAsProducer 2022-11-23T01:58:27.1760501Z [ OK ] Reductions.ReduceAsProducer (2 ms) 2022-11-23T01:58:27.1760811Z [ RUN ] Reductions.ReduceAsConsumer 2022-11-23T01:58:27.1795639Z [ OK ] Reductions.ReduceAsConsumer (3 ms) 2022-11-23T01:58:27.1795938Z [ RUN ] Reductions.SplitReduceAxis 2022-11-23T01:58:27.1812047Z [ OK ] Reductions.SplitReduceAxis (1 ms) 2022-11-23T01:58:27.1812363Z [ RUN ] Reductions.SplitNonReduceAxis 2022-11-23T01:58:27.1845373Z [ OK ] Reductions.SplitNonReduceAxis (3 ms) 2022-11-23T01:58:27.1845738Z [ RUN ] Reductions.ReorderedReductionInitializer 2022-11-23T01:58:27.1885043Z [ OK ] Reductions.ReorderedReductionInitializer (3 ms) 2022-11-23T01:58:27.1885393Z [ RUN ] Reductions.ReduceRfactor 2022-11-23T01:58:27.1895758Z [ OK ] Reductions.ReduceRfactor (1 ms) 2022-11-23T01:58:27.1896093Z [ RUN ] Reductions.Reduce3DRfactorInner 2022-11-23T01:58:27.2022932Z [ OK ] Reductions.Reduce3DRfactorInner (12 ms) 2022-11-23T01:58:27.2023269Z [ RUN ] Reductions.Reduce3DRfactorOuter 2022-11-23T01:58:27.2152930Z [ OK ] Reductions.Reduce3DRfactorOuter (13 ms) 2022-11-23T01:58:27.2153308Z [ RUN ] Reductions.ReduceRepeatedInternalRfactor 2022-11-23T01:58:27.3904879Z [ OK ] Reductions.ReduceRepeatedInternalRfactor (175 ms) 2022-11-23T01:58:27.3905255Z [ RUN ] Reductions.ReduceSplitTail 2022-11-23T01:58:27.4306524Z [ OK ] Reductions.ReduceSplitTail (40 ms) 2022-11-23T01:58:27.4306833Z [ RUN ] Reductions.ReduceSplitNoTail 2022-11-23T01:58:27.4765623Z [ OK ] Reductions.ReduceSplitNoTail (45 ms) 2022-11-23T01:58:27.4765962Z [ RUN ] Reductions.ReduceOverSplitTail 2022-11-23T01:58:27.5154112Z [ OK ] Reductions.ReduceOverSplitTail (38 ms) 2022-11-23T01:58:27.5154486Z [ RUN ] Reductions.ReduceSplitMask 2022-11-23T01:58:27.5658717Z [ OK ] Reductions.ReduceSplitMask (50 ms) 2022-11-23T01:58:27.5659049Z [ RUN ] Reductions.ReduceSplitNoMask 2022-11-23T01:58:27.6122422Z [ OK ] Reductions.ReduceSplitNoMask (46 ms) 2022-11-23T01:58:27.6122765Z [ RUN ] Reductions.ReduceOverSplitMask 2022-11-23T01:58:27.6533773Z [ OK ] Reductions.ReduceOverSplitMask (41 ms) 2022-11-23T01:58:27.6534099Z [ RUN ] Reductions.ReduceSplitRfactor 2022-11-23T01:58:27.6578170Z [ OK ] Reductions.ReduceSplitRfactor (4 ms) 2022-11-23T01:58:27.6578506Z [ RUN ] Reductions.ReduceOverSplitRfactor 2022-11-23T01:58:27.6592180Z [ OK ] Reductions.ReduceOverSplitRfactor (1 ms) 2022-11-23T01:58:27.6592640Z [ RUN ] Reductions.ReduceInlineReduction 2022-11-23T01:58:27.6593363Z [ OK ] Reductions.ReduceInlineReduction (0 ms) 2022-11-23T01:58:27.6593972Z [ RUN ] Reductions.ReduceInlineConsumer 2022-11-23T01:58:27.6683919Z [ OK ] Reductions.ReduceInlineConsumer (9 ms) 2022-11-23T01:58:27.6684589Z [ RUN ] Reductions.ReduceInlineReducerInternal 2022-11-23T01:58:27.6776555Z [ OK ] Reductions.ReduceInlineReducerInternal (9 ms) 2022-11-23T01:58:27.6777426Z [ RUN ] Reductions.ReductionCacheAccessesOperatorAxis 2022-11-23T01:58:27.6824770Z [ OK ] Reductions.ReductionCacheAccessesOperatorAxis (4 ms) 2022-11-23T01:58:27.6825254Z [ RUN ] Reductions.ReductionCacheAccessesOuterReduceAxis 2022-11-23T01:58:27.6869639Z [ OK ] Reductions.ReductionCacheAccessesOuterReduceAxis (4 ms) 2022-11-23T01:58:27.6870120Z [ RUN ] Reductions.ReductionCacheAccessesInnerReduceAxis 2022-11-23T01:58:27.6914530Z [ OK ] Reductions.ReductionCacheAccessesInnerReduceAxis (4 ms) 2022-11-23T01:58:27.6914941Z [ RUN ] Reductions.ReductionCacheBodyAccess 2022-11-23T01:58:27.6930540Z [ OK ] Reductions.ReductionCacheBodyAccess (1 ms) 2022-11-23T01:58:27.6930935Z [ RUN ] Reductions.ReductionCacheConsumerAccess 2022-11-23T01:58:27.6948507Z [ OK ] Reductions.ReductionCacheConsumerAccess (1 ms) 2022-11-23T01:58:27.6948930Z [ RUN ] Reductions.ReductionSplitCacheConsumerAccess 2022-11-23T01:58:27.6969692Z [ OK ] Reductions.ReductionSplitCacheConsumerAccess (2 ms) 2022-11-23T01:58:27.6970234Z [ RUN ] Reductions.ReductionReorderCacheConsumerAccess 2022-11-23T01:58:27.6987997Z [ OK ] Reductions.ReductionReorderCacheConsumerAccess (1 ms) 2022-11-23T01:58:27.6988480Z [ RUN ] Reductions.ReductionRfactorCacheTempOuter 2022-11-23T01:58:27.7166351Z [ OK ] Reductions.ReductionRfactorCacheTempOuter (17 ms) 2022-11-23T01:58:27.7166883Z [ RUN ] Reductions.ReductionRfactorCacheTempInner 2022-11-23T01:58:27.7308810Z [ OK ] Reductions.ReductionRfactorCacheTempInner (14 ms) 2022-11-23T01:58:27.7309341Z [ RUN ] Reductions.ReductionVectorize 2022-11-23T01:58:27.7320095Z [ OK ] Reductions.ReductionVectorize (1 ms) 2022-11-23T01:58:27.7320504Z [ RUN ] Reductions.ReductionVectorizeInner 2022-11-23T01:58:27.7320856Z [ OK ] Reductions.ReductionVectorizeInner (0 ms) 2022-11-23T01:58:27.7321205Z [ RUN ] Reductions.ReductionVectorizeRfactor 2022-11-23T01:58:27.7334842Z [ OK ] Reductions.ReductionVectorizeRfactor (1 ms) 2022-11-23T01:58:27.7335231Z [ RUN ] Reductions.InitFunction 2022-11-23T01:58:27.7336870Z [ OK ] Reductions.InitFunction (0 ms) 2022-11-23T01:58:27.7337213Z [----------] 45 tests from Reductions (1243 ms total) 2022-11-23T01:58:27.7337360Z 2022-11-23T01:58:27.7337514Z [----------] 69 tests from Registerizer 2022-11-23T01:58:27.7337818Z [ RUN ] Registerizer.RegisterizerSimple 2022-11-23T01:58:27.7339613Z [ OK ] Registerizer.RegisterizerSimple (0 ms) 2022-11-23T01:58:27.7339960Z [ RUN ] Registerizer.RegisterizerLoop 2022-11-23T01:58:27.7341720Z [ OK ] Registerizer.RegisterizerLoop (0 ms) 2022-11-23T01:58:27.7342195Z [ RUN ] Registerizer.RegisterizerLoopFixedLoad 2022-11-23T01:58:27.7342968Z [ OK ] Registerizer.RegisterizerLoopFixedLoad (0 ms) 2022-11-23T01:58:27.7343547Z [ RUN ] Registerizer.RegisterizerLoopInternal 2022-11-23T01:58:27.7345293Z [ OK ] Registerizer.RegisterizerLoopInternal (0 ms) 2022-11-23T01:58:27.7345982Z [ RUN ] Registerizer.RegisterizerLoopInternalLoadOverlap 2022-11-23T01:58:27.7346837Z [ OK ] Registerizer.RegisterizerLoopInternalLoadOverlap (0 ms) 2022-11-23T01:58:27.7347412Z [ RUN ] Registerizer.RegisterizerLoopInternalRepeated 2022-11-23T01:58:27.7350905Z [ OK ] Registerizer.RegisterizerLoopInternalRepeated (0 ms) 2022-11-23T01:58:27.7351610Z [ RUN ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar 2022-11-23T01:58:27.7354742Z [ OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar (0 ms) 2022-11-23T01:58:27.7355412Z [ RUN ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther 2022-11-23T01:58:27.7359092Z [ OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther (0 ms) 2022-11-23T01:58:27.7359593Z [ RUN ] Registerizer.RegisterizerMultiVar 2022-11-23T01:58:27.7374500Z [ OK ] Registerizer.RegisterizerMultiVar (1 ms) 2022-11-23T01:58:27.7375107Z [ RUN ] Registerizer.RegisterizerVariableLoad 2022-11-23T01:58:27.7377059Z [ OK ] Registerizer.RegisterizerVariableLoad (0 ms) 2022-11-23T01:58:27.7377754Z [ RUN ] Registerizer.RegisterizerSymbolicIndices 2022-11-23T01:58:27.7378851Z [ OK ] Registerizer.RegisterizerSymbolicIndices (0 ms) 2022-11-23T01:58:27.7379500Z [ RUN ] Registerizer.RegisterizerMultiLoop 2022-11-23T01:58:27.7381874Z [ OK ] Registerizer.RegisterizerMultiLoop (0 ms) 2022-11-23T01:58:27.7382486Z [ RUN ] Registerizer.RegisterizerRepeated 2022-11-23T01:58:27.7385422Z [ OK ] Registerizer.RegisterizerRepeated (0 ms) 2022-11-23T01:58:27.7386040Z [ RUN ] Registerizer.RegisterizerNoLoads 2022-11-23T01:58:27.7387509Z [ OK ] Registerizer.RegisterizerNoLoads (0 ms) 2022-11-23T01:58:27.7388138Z [ RUN ] Registerizer.RegisterizerNoRepeatedStores 2022-11-23T01:58:27.7389242Z [ OK ] Registerizer.RegisterizerNoRepeatedStores (0 ms) 2022-11-23T01:58:27.7389886Z [ RUN ] Registerizer.RegisterizerMultiVarOverlap 2022-11-23T01:58:27.7393476Z [ OK ] Registerizer.RegisterizerMultiVarOverlap (0 ms) 2022-11-23T01:58:27.7393842Z [ RUN ] Registerizer.RegisterizerAllocs 2022-11-23T01:58:27.7396619Z [ OK ] Registerizer.RegisterizerAllocs (0 ms) 2022-11-23T01:58:27.7397063Z [ RUN ] Registerizer.RegisterizerNoInitializer 2022-11-23T01:58:27.7398164Z [ OK ] Registerizer.RegisterizerNoInitializer (0 ms) 2022-11-23T01:58:27.7398637Z [ RUN ] Registerizer.RegisterizerNoInitializerLoopVar 2022-11-23T01:58:27.7400285Z [ OK ] Registerizer.RegisterizerNoInitializerLoopVar (0 ms) 2022-11-23T01:58:27.7400675Z [ RUN ] Registerizer.RegisterizerLoadThenStore 2022-11-23T01:58:27.7402386Z [ OK ] Registerizer.RegisterizerLoadThenStore (0 ms) 2022-11-23T01:58:27.7402757Z [ RUN ] Registerizer.RegisterizerParallelized 2022-11-23T01:58:27.7423357Z [ OK ] Registerizer.RegisterizerParallelized (2 ms) 2022-11-23T01:58:27.7423750Z [ RUN ] Registerizer.RegisterizerConditionAfter 2022-11-23T01:58:27.7425402Z [ OK ] Registerizer.RegisterizerConditionAfter (0 ms) 2022-11-23T01:58:27.7425774Z [ RUN ] Registerizer.RegisterizerConditionBefore 2022-11-23T01:58:27.7427386Z [ OK ] Registerizer.RegisterizerConditionBefore (0 ms) 2022-11-23T01:58:27.7427769Z [ RUN ] Registerizer.RegisterizerConditionInside 2022-11-23T01:58:27.7430155Z [ OK ] Registerizer.RegisterizerConditionInside (0 ms) 2022-11-23T01:58:27.7430557Z [ RUN ] Registerizer.RegisterizerConditionInsideOverlap1 2022-11-23T01:58:27.7433009Z [ OK ] Registerizer.RegisterizerConditionInsideOverlap1 (0 ms) 2022-11-23T01:58:27.7433445Z [ RUN ] Registerizer.RegisterizerConditionInsideOverlap2 2022-11-23T01:58:27.7437059Z [ OK ] Registerizer.RegisterizerConditionInsideOverlap2 (0 ms) 2022-11-23T01:58:27.7437459Z [ RUN ] Registerizer.RegisterizerConditionHidden 2022-11-23T01:58:27.7438986Z [ OK ] Registerizer.RegisterizerConditionHidden (0 ms) 2022-11-23T01:58:27.7439375Z [ RUN ] Registerizer.RegisterizerConditionUnhidden 2022-11-23T01:58:27.7441329Z [ OK ] Registerizer.RegisterizerConditionUnhidden (0 ms) 2022-11-23T01:58:27.7441712Z [ RUN ] Registerizer.RegisterizerCondCondition 2022-11-23T01:58:27.7443622Z [ OK ] Registerizer.RegisterizerCondCondition (0 ms) 2022-11-23T01:58:27.7444023Z [ RUN ] Registerizer.RegisterizerCondConditionUnhidden 2022-11-23T01:58:27.7445961Z [ OK ] Registerizer.RegisterizerCondConditionUnhidden (0 ms) 2022-11-23T01:58:27.7446364Z [ RUN ] Registerizer.RegisterizerIfThenElseHidden 2022-11-23T01:58:27.7450292Z [ OK ] Registerizer.RegisterizerIfThenElseHidden (0 ms) 2022-11-23T01:58:27.7450675Z [ RUN ] Registerizer.RegisterizerIfThenElseUnhidden 2022-11-23T01:58:27.7454864Z [ OK ] Registerizer.RegisterizerIfThenElseUnhidden (0 ms) 2022-11-23T01:58:27.7455259Z [ RUN ] Registerizer.RegisterizerIfThenElseNested 2022-11-23T01:58:27.7457175Z [ OK ] Registerizer.RegisterizerIfThenElseNested (0 ms) 2022-11-23T01:58:27.7457557Z [ RUN ] Registerizer.RegisterizerIfThenElseInternal 2022-11-23T01:58:27.7459860Z [ OK ] Registerizer.RegisterizerIfThenElseInternal (0 ms) 2022-11-23T01:58:27.7460267Z [ RUN ] Registerizer.RegisterizerIfThenElseCondition 2022-11-23T01:58:27.7461697Z [ OK ] Registerizer.RegisterizerIfThenElseCondition (0 ms) 2022-11-23T01:58:27.7462119Z [ RUN ] Registerizer.RegisterizerIfThenElseConditionUnhidden 2022-11-23T01:58:27.7463990Z [ OK ] Registerizer.RegisterizerIfThenElseConditionUnhidden (0 ms) 2022-11-23T01:58:27.7464493Z [ RUN ] Registerizer.RegisterizerConditionBranchOnly 2022-11-23T01:58:27.7476011Z [ OK ] Registerizer.RegisterizerConditionBranchOnly (1 ms) 2022-11-23T01:58:27.7476406Z [ RUN ] Registerizer.RegisterizerCondIfThenElse 2022-11-23T01:58:27.7478515Z [ OK ] Registerizer.RegisterizerCondIfThenElse (0 ms) 2022-11-23T01:58:27.7478899Z [ RUN ] Registerizer.RegisterizerIfThenElseLoop 2022-11-23T01:58:27.7480519Z [ OK ] Registerizer.RegisterizerIfThenElseLoop (0 ms) 2022-11-23T01:58:27.7480910Z [ RUN ] Registerizer.RegisterizerIfThenElseLoopCut 2022-11-23T01:58:27.7482627Z [ OK ] Registerizer.RegisterizerIfThenElseLoopCut (0 ms) 2022-11-23T01:58:27.7483012Z [ RUN ] Registerizer.RegisterizerPartialAfter 2022-11-23T01:58:27.7486382Z [ OK ] Registerizer.RegisterizerPartialAfter (0 ms) 2022-11-23T01:58:27.7486750Z [ RUN ] Registerizer.RegisterizerPartialBefore 2022-11-23T01:58:27.7488937Z [ OK ] Registerizer.RegisterizerPartialBefore (0 ms) 2022-11-23T01:58:27.7489294Z [ RUN ] Registerizer.RegisterizerPartialInside 2022-11-23T01:58:27.7492890Z [ OK ] Registerizer.RegisterizerPartialInside (0 ms) 2022-11-23T01:58:27.7493270Z [ RUN ] Registerizer.RegisterizerPartialCondition 2022-11-23T01:58:27.7497310Z [ OK ] Registerizer.RegisterizerPartialCondition (0 ms) 2022-11-23T01:58:27.7497725Z [ RUN ] Registerizer.RegisterizerPartialConditionInternalCut 2022-11-23T01:58:27.7499328Z [ OK ] Registerizer.RegisterizerPartialConditionInternalCut (0 ms) 2022-11-23T01:58:27.7499795Z [ RUN ] Registerizer.RegisterizerPartialConditionInternalStart 2022-11-23T01:58:27.7501165Z [ OK ] Registerizer.RegisterizerPartialConditionInternalStart (0 ms) 2022-11-23T01:58:27.7501608Z [ RUN ] Registerizer.RegisterizerPartialOverlapsTwo 2022-11-23T01:58:27.7504544Z [ OK ] Registerizer.RegisterizerPartialOverlapsTwo (0 ms) 2022-11-23T01:58:27.7504927Z [ RUN ] Registerizer.RegisterizerNestedBlocks 2022-11-23T01:58:27.7506757Z [ OK ] Registerizer.RegisterizerNestedBlocks (0 ms) 2022-11-23T01:58:27.7507174Z [ RUN ] Registerizer.RegisterizerNestedConditions 2022-11-23T01:58:27.7508969Z [ OK ] Registerizer.RegisterizerNestedConditions (0 ms) 2022-11-23T01:58:27.7509393Z [ RUN ] Registerizer.RegisterizerNestedConditionsUnhidden 2022-11-23T01:58:27.7511113Z [ OK ] Registerizer.RegisterizerNestedConditionsUnhidden (0 ms) 2022-11-23T01:58:27.7511576Z [ RUN ] Registerizer.RegisterizerNestedConditionsHiddenFirst 2022-11-23T01:58:27.7513955Z [ OK ] Registerizer.RegisterizerNestedConditionsHiddenFirst (0 ms) 2022-11-23T01:58:27.7514423Z [ RUN ] Registerizer.RegisterizerNestedConditionsHiddenSecond 2022-11-23T01:58:27.7516880Z [ OK ] Registerizer.RegisterizerNestedConditionsHiddenSecond (0 ms) 2022-11-23T01:58:27.7517315Z [ RUN ] Registerizer.RegisterizerNestedConditionsCut 2022-11-23T01:58:27.7518729Z [ OK ] Registerizer.RegisterizerNestedConditionsCut (0 ms) 2022-11-23T01:58:27.7519150Z [ RUN ] Registerizer.RegisterizerNestedConditionLoopHidden 2022-11-23T01:58:27.7521226Z [ OK ] Registerizer.RegisterizerNestedConditionLoopHidden (0 ms) 2022-11-23T01:58:27.7521671Z [ RUN ] Registerizer.RegisterizerNestedConditionThreeDeep 2022-11-23T01:58:27.7527182Z [ OK ] Registerizer.RegisterizerNestedConditionThreeDeep (0 ms) 2022-11-23T01:58:27.7527716Z [ RUN ] Registerizer.RegisterizerNestedLoopSimple 2022-11-23T01:58:27.7528883Z [ OK ] Registerizer.RegisterizerNestedLoopSimple (0 ms) 2022-11-23T01:58:27.7529321Z [ RUN ] Registerizer.RegisterizerHiddenAccessYes 2022-11-23T01:58:27.7532057Z [ OK ] Registerizer.RegisterizerHiddenAccessYes (0 ms) 2022-11-23T01:58:27.7532490Z [ RUN ] Registerizer.RegisterizerHiddenAccessNo 2022-11-23T01:58:27.7534884Z [ OK ] Registerizer.RegisterizerHiddenAccessNo (0 ms) 2022-11-23T01:58:27.7535352Z [ RUN ] Registerizer.RegisterizerHiddenAccessMultiLoop 2022-11-23T01:58:27.7538469Z [ OK ] Registerizer.RegisterizerHiddenAccessMultiLoop (0 ms) 2022-11-23T01:58:27.7538939Z [ RUN ] Registerizer.RegisterizerTwoConditionalLoops 2022-11-23T01:58:27.7541125Z [ OK ] Registerizer.RegisterizerTwoConditionalLoops (0 ms) 2022-11-23T01:58:27.7541636Z [ RUN ] Registerizer.RegisterizerTwoConditionalLoopsCut 2022-11-23T01:58:27.7544155Z [ OK ] Registerizer.RegisterizerTwoConditionalLoopsCut (0 ms) 2022-11-23T01:58:27.7544578Z [ RUN ] Registerizer.RegisterizerLoopLetVar 2022-11-23T01:58:27.7545968Z [ OK ] Registerizer.RegisterizerLoopLetVar (0 ms) 2022-11-23T01:58:27.7546408Z [ RUN ] Registerizer.RegisterizerLoopLetVarOuter 2022-11-23T01:58:27.7547361Z [ OK ] Registerizer.RegisterizerLoopLetVarOuter (0 ms) 2022-11-23T01:58:27.7547794Z [ RUN ] Registerizer.RegisterizerMultiDim 2022-11-23T01:58:27.7549576Z [ OK ] Registerizer.RegisterizerMultiDim (0 ms) 2022-11-23T01:58:27.7549979Z [ RUN ] Registerizer.RegisterizerMultiDimPartial 2022-11-23T01:58:27.7551763Z [ OK ] Registerizer.RegisterizerMultiDimPartial (0 ms) 2022-11-23T01:58:27.7552155Z [ RUN ] Registerizer.RegisterizerMultiDimOverlap 2022-11-23T01:58:27.7554353Z [ OK ] Registerizer.RegisterizerMultiDimOverlap (0 ms) 2022-11-23T01:58:27.7554753Z [ RUN ] Registerizer.RegisterizerMultiDimPartialOverlap 2022-11-23T01:58:27.7557038Z [ OK ] Registerizer.RegisterizerMultiDimPartialOverlap (0 ms) 2022-11-23T01:58:27.7557477Z [ RUN ] Registerizer.RegisterizerMultiDim3DReduction1 2022-11-23T01:58:27.7560082Z [ OK ] Registerizer.RegisterizerMultiDim3DReduction1 (0 ms) 2022-11-23T01:58:27.7560538Z [ RUN ] Registerizer.RegisterizerMultiDim3DReduction2 2022-11-23T01:58:27.7563369Z [ OK ] Registerizer.RegisterizerMultiDim3DReduction2 (0 ms) 2022-11-23T01:58:27.7564210Z [----------] 69 tests from Registerizer (22 ms total) 2022-11-23T01:58:27.7564439Z 2022-11-23T01:58:27.7564990Z [----------] 92 tests from Simplify 2022-11-23T01:58:27.7565486Z [ RUN ] Simplify.ConstantFoldSimple 2022-11-23T01:58:27.7566142Z [ OK ] Simplify.ConstantFoldSimple (0 ms) 2022-11-23T01:58:27.7566820Z [ RUN ] Simplify.ConstantFoldTwoLayer 2022-11-23T01:58:27.7567425Z [ OK ] Simplify.ConstantFoldTwoLayer (0 ms) 2022-11-23T01:58:27.7567828Z [ RUN ] Simplify.ConstantFoldShifts 2022-11-23T01:58:27.7568413Z [ OK ] Simplify.ConstantFoldShifts (0 ms) 2022-11-23T01:58:27.7568773Z [ RUN ] Simplify.ConstantFoldBitwise 2022-11-23T01:58:27.7569249Z [ OK ] Simplify.ConstantFoldBitwise (0 ms) 2022-11-23T01:58:27.7569585Z [ RUN ] Simplify.ConstantFoldMultiOp 2022-11-23T01:58:27.7569912Z [ OK ] Simplify.ConstantFoldMultiOp (0 ms) 2022-11-23T01:58:27.7570331Z [ RUN ] Simplify.ConstantFoldMinMax 2022-11-23T01:58:27.7570758Z [ OK ] Simplify.ConstantFoldMinMax (0 ms) 2022-11-23T01:58:27.7571080Z [ RUN ] Simplify.ConstantFoldIntrinsics 2022-11-23T01:58:27.7571403Z [ OK ] Simplify.ConstantFoldIntrinsics (0 ms) 2022-11-23T01:58:27.7571763Z [ RUN ] Simplify.ConstantFoldCastToBool 2022-11-23T01:58:27.7572149Z [ OK ] Simplify.ConstantFoldCastToBool (0 ms) 2022-11-23T01:58:27.7572669Z [ RUN ] Simplify.ConstantFoldWithVar 2022-11-23T01:58:27.7573146Z [ OK ] Simplify.ConstantFoldWithVar (0 ms) 2022-11-23T01:58:27.7573635Z [ RUN ] Simplify.ConditionalSelectFoldSimple 2022-11-23T01:58:27.7574103Z [ OK ] Simplify.ConditionalSelectFoldSimple (0 ms) 2022-11-23T01:58:27.7574667Z [ RUN ] Simplify.ConditionalSelectFoldTwoLayer 2022-11-23T01:58:27.7575216Z [ OK ] Simplify.ConditionalSelectFoldTwoLayer (0 ms) 2022-11-23T01:58:27.7575837Z [ RUN ] Simplify.ConditionalSelectFoldWithVar 2022-11-23T01:58:27.7576306Z [ OK ] Simplify.ConditionalSelectFoldWithVar (0 ms) 2022-11-23T01:58:27.7576632Z [ RUN ] Simplify.UnFoldableExpr 2022-11-23T01:58:27.7577119Z [ OK ] Simplify.UnFoldableExpr (0 ms) 2022-11-23T01:58:27.7577575Z [ RUN ] Simplify.HashSimple 2022-11-23T01:58:27.7578086Z [ OK ] Simplify.HashSimple (0 ms) 2022-11-23T01:58:27.7578605Z [ RUN ] Simplify.HashEquivalence 2022-11-23T01:58:27.7578907Z [ OK ] Simplify.HashEquivalence (0 ms) 2022-11-23T01:58:27.7579211Z [ RUN ] Simplify.HashEquivalenceRand 2022-11-23T01:58:27.7579543Z [ OK ] Simplify.HashEquivalenceRand (0 ms) 2022-11-23T01:58:27.7579880Z [ RUN ] Simplify.HashEquivalenceAfterFolding 2022-11-23T01:58:27.7580225Z [ OK ] Simplify.HashEquivalenceAfterFolding (0 ms) 2022-11-23T01:58:27.7580555Z [ RUN ] Simplify.HashDifferenceTypes 2022-11-23T01:58:27.7580875Z [ OK ] Simplify.HashDifferenceTypes (0 ms) 2022-11-23T01:58:27.7581170Z [ RUN ] Simplify.HashLargeExpression 2022-11-23T01:58:27.7581483Z [ OK ] Simplify.HashLargeExpression (0 ms) 2022-11-23T01:58:27.7581797Z [ RUN ] Simplify.HashForLoopOptions 2022-11-23T01:58:27.7582100Z [ OK ] Simplify.HashForLoopOptions (0 ms) 2022-11-23T01:58:27.7582389Z [ RUN ] Simplify.SimplifyAdd 2022-11-23T01:58:27.7586132Z [ OK ] Simplify.SimplifyAdd (0 ms) 2022-11-23T01:58:27.7586649Z [ RUN ] Simplify.SimplifySub 2022-11-23T01:58:27.7587004Z [ OK ] Simplify.SimplifySub (0 ms) 2022-11-23T01:58:27.7587300Z [ RUN ] Simplify.SimplifyMultiLayer 2022-11-23T01:58:27.7600107Z [ OK ] Simplify.SimplifyMultiLayer (1 ms) 2022-11-23T01:58:27.7600659Z [ RUN ] Simplify.SimplifyMultiTerm 2022-11-23T01:58:27.7601236Z [ OK ] Simplify.SimplifyMultiTerm (0 ms) 2022-11-23T01:58:27.7601975Z [ RUN ] Simplify.SimplifyCasts 2022-11-23T01:58:27.7602413Z [ OK ] Simplify.SimplifyCasts (0 ms) 2022-11-23T01:58:27.7602720Z [ RUN ] Simplify.SimplifyEliminatesNoOps 2022-11-23T01:58:27.7603062Z [ OK ] Simplify.SimplifyEliminatesNoOps (0 ms) 2022-11-23T01:58:27.7603383Z [ RUN ] Simplify.SimplifyMultiVar 2022-11-23T01:58:27.7603682Z [ OK ] Simplify.SimplifyMultiVar (0 ms) 2022-11-23T01:58:27.7604050Z [ RUN ] Simplify.SimplifyEliminatesVar 2022-11-23T01:58:27.7611455Z [ OK ] Simplify.SimplifyEliminatesVar (0 ms) 2022-11-23T01:58:27.7612012Z [ RUN ] Simplify.SimplifyAdds 2022-11-23T01:58:27.7614538Z [ OK ] Simplify.SimplifyAdds (0 ms) 2022-11-23T01:58:27.7615050Z [ RUN ] Simplify.SimplifyMuls 2022-11-23T01:58:27.7619241Z [ OK ] Simplify.SimplifyMuls (0 ms) 2022-11-23T01:58:27.7619738Z [ RUN ] Simplify.SimplifySubs 2022-11-23T01:58:27.7626107Z [ OK ] Simplify.SimplifySubs (0 ms) 2022-11-23T01:58:27.7626469Z [ RUN ] Simplify.SimplifyDiv 2022-11-23T01:58:27.7626830Z [ OK ] Simplify.SimplifyDiv (0 ms) 2022-11-23T01:58:27.7627282Z [ RUN ] Simplify.SimplifyDivWithLoopContext0 2022-11-23T01:58:27.7627743Z [ OK ] Simplify.SimplifyDivWithLoopContext0 (0 ms) 2022-11-23T01:58:27.7628115Z [ RUN ] Simplify.SimplifyDivWithLoopContext1 2022-11-23T01:58:27.7629713Z [ OK ] Simplify.SimplifyDivWithLoopContext1 (0 ms) 2022-11-23T01:58:27.7630071Z [ RUN ] Simplify.SimplifyDivWithLoopContext2 2022-11-23T01:58:27.7631930Z [ OK ] Simplify.SimplifyDivWithLoopContext2 (0 ms) 2022-11-23T01:58:27.7632396Z [ RUN ] Simplify.SimplifyDivWithLoopContext3 2022-11-23T01:58:27.7632750Z [ OK ] Simplify.SimplifyDivWithLoopContext3 (0 ms) 2022-11-23T01:58:27.7633108Z [ RUN ] Simplify.SimplifyDivWithLoopContext4 2022-11-23T01:58:27.7635537Z [ OK ] Simplify.SimplifyDivWithLoopContext4 (0 ms) 2022-11-23T01:58:27.7636100Z [ RUN ] Simplify.SimplifyDivWithLoopContext5 2022-11-23T01:58:27.7638183Z [ OK ] Simplify.SimplifyDivWithLoopContext5 (0 ms) 2022-11-23T01:58:27.7638844Z [ RUN ] Simplify.SimplifyDivWithLoopContext6 2022-11-23T01:58:27.7641190Z [ OK ] Simplify.SimplifyDivWithLoopContext6 (0 ms) 2022-11-23T01:58:27.7641780Z [ RUN ] Simplify.SimplifyDivWithLoopContext7 2022-11-23T01:58:27.7642541Z [ OK ] Simplify.SimplifyDivWithLoopContext7 (0 ms) 2022-11-23T01:58:27.7643156Z [ RUN ] Simplify.SimplifyModWithLoopContext0 2022-11-23T01:58:27.7643793Z [ OK ] Simplify.SimplifyModWithLoopContext0 (0 ms) 2022-11-23T01:58:27.7644402Z [ RUN ] Simplify.SimplifyModWithLoopContext1 2022-11-23T01:58:27.7645853Z [ OK ] Simplify.SimplifyModWithLoopContext1 (0 ms) 2022-11-23T01:58:27.7646463Z [ RUN ] Simplify.SimplifyModWithLoopContext2 2022-11-23T01:58:27.7648012Z [ OK ] Simplify.SimplifyModWithLoopContext2 (0 ms) 2022-11-23T01:58:27.7648658Z [ RUN ] Simplify.SimplifyModWithLoopContext3 2022-11-23T01:58:27.7649340Z [ OK ] Simplify.SimplifyModWithLoopContext3 (0 ms) 2022-11-23T01:58:27.7649764Z [ RUN ] Simplify.SimplifyModWithLoopContext4 2022-11-23T01:58:27.7651992Z [ OK ] Simplify.SimplifyModWithLoopContext4 (0 ms) 2022-11-23T01:58:27.7652388Z [ RUN ] Simplify.SimplifyModWithLoopContext5 2022-11-23T01:58:27.7654643Z [ OK ] Simplify.SimplifyModWithLoopContext5 (0 ms) 2022-11-23T01:58:27.7654998Z [ RUN ] Simplify.SimplifyModWithLoopContext6 2022-11-23T01:58:27.7658040Z [ OK ] Simplify.SimplifyModWithLoopContext6 (0 ms) 2022-11-23T01:58:27.7658653Z [ RUN ] Simplify.SimplifyModWithLoopContext7 2022-11-23T01:58:27.7659031Z [ OK ] Simplify.SimplifyModWithLoopContext7 (0 ms) 2022-11-23T01:58:27.7659332Z [ RUN ] Simplify.SimplifyMod 2022-11-23T01:58:27.7673427Z [ OK ] Simplify.SimplifyMod (1 ms) 2022-11-23T01:58:27.7673804Z [ RUN ] Simplify.SimplifyMultiOp 2022-11-23T01:58:27.7675670Z [ OK ] Simplify.SimplifyMultiOp (0 ms) 2022-11-23T01:58:27.7676162Z [ RUN ] Simplify.SimplifyManyOps 2022-11-23T01:58:27.7678944Z [ OK ] Simplify.SimplifyManyOps (0 ms) 2022-11-23T01:58:27.7679324Z [ RUN ] Simplify.SimplifyFactorization 2022-11-23T01:58:27.7683997Z [ OK ] Simplify.SimplifyFactorization (0 ms) 2022-11-23T01:58:27.7684442Z [ RUN ] Simplify.SimplifyFactorizeUneven 2022-11-23T01:58:27.7685373Z [ OK ] Simplify.SimplifyFactorizeUneven (0 ms) 2022-11-23T01:58:27.7685822Z [ RUN ] Simplify.SimplifyDeeperTerms 2022-11-23T01:58:27.7686975Z [ OK ] Simplify.SimplifyDeeperTerms (0 ms) 2022-11-23T01:58:27.7687409Z [ RUN ] Simplify.SimplifyDeeperDifference 2022-11-23T01:58:27.7687928Z [ OK ] Simplify.SimplifyDeeperDifference (0 ms) 2022-11-23T01:58:27.7688281Z [ RUN ] Simplify.SimplifyFoldComplexDifference 2022-11-23T01:58:27.7689297Z [ OK ] Simplify.SimplifyFoldComplexDifference (0 ms) 2022-11-23T01:58:27.7689712Z [ RUN ] Simplify.SimplifyIfComponents 2022-11-23T01:58:27.7693250Z [ OK ] Simplify.SimplifyIfComponents (0 ms) 2022-11-23T01:58:27.7693566Z [ RUN ] Simplify.SimplifyOpaqueTerms 2022-11-23T01:58:27.7694307Z [ OK ] Simplify.SimplifyOpaqueTerms (0 ms) 2022-11-23T01:58:27.7694636Z [ RUN ] Simplify.SimplifySymbolicMinMax 2022-11-23T01:58:27.7695959Z [ OK ] Simplify.SimplifySymbolicMinMax (0 ms) 2022-11-23T01:58:27.7696283Z [ RUN ] Simplify.SimplifyNestedMax 2022-11-23T01:58:27.7709069Z [ OK ] Simplify.SimplifyNestedMax (1 ms) 2022-11-23T01:58:27.7709387Z [ RUN ] Simplify.SimplifyNestedMin 2022-11-23T01:58:27.7722052Z [ OK ] Simplify.SimplifyNestedMin (1 ms) 2022-11-23T01:58:27.7722422Z [ RUN ] Simplify.SimplifyWontReorderFloat 2022-11-23T01:58:27.7724123Z [ OK ] Simplify.SimplifyWontReorderFloat (0 ms) 2022-11-23T01:58:27.7724480Z [ RUN ] Simplify.SimplifyRoundModPattern 2022-11-23T01:58:27.7733128Z [ OK ] Simplify.SimplifyRoundModPattern (0 ms) 2022-11-23T01:58:27.7733554Z [ RUN ] Simplify.SimplifyRoundModPatternFactorization 2022-11-23T01:58:27.7737511Z [ OK ] Simplify.SimplifyRoundModPatternFactorization (0 ms) 2022-11-23T01:58:27.7738114Z [ RUN ] Simplify.SimplifyRoundModPatternMultivar 2022-11-23T01:58:27.7741487Z [ OK ] Simplify.SimplifyRoundModPatternMultivar (0 ms) 2022-11-23T01:58:27.7742082Z [ RUN ] Simplify.SimplifyModRoundModPattern 2022-11-23T01:58:27.7746474Z [ OK ] Simplify.SimplifyModRoundModPattern (0 ms) 2022-11-23T01:58:27.7747101Z [ RUN ] Simplify.SimplifyModRoundModPatternFactorization 2022-11-23T01:58:27.7754294Z [ OK ] Simplify.SimplifyModRoundModPatternFactorization (0 ms) 2022-11-23T01:58:27.7754912Z [ RUN ] Simplify.SimplifyModRoundModPatternMultivar 2022-11-23T01:58:27.7768413Z [ OK ] Simplify.SimplifyModRoundModPatternMultivar (1 ms) 2022-11-23T01:58:27.7769119Z [ RUN ] Simplify.SimplifyDivisionScalarFactorization 2022-11-23T01:58:27.7769966Z [ OK ] Simplify.SimplifyDivisionScalarFactorization (0 ms) 2022-11-23T01:58:27.7770621Z [ RUN ] Simplify.SimplifyConstantBranches 2022-11-23T01:58:27.7771133Z [ OK ] Simplify.SimplifyConstantBranches (0 ms) 2022-11-23T01:58:27.7771772Z [ RUN ] Simplify.SimplifyConstantCond 2022-11-23T01:58:27.7772378Z [ OK ] Simplify.SimplifyConstantCond (0 ms) 2022-11-23T01:58:27.7773040Z [ RUN ] Simplify.SimplifyEliminateEmptyCond 2022-11-23T01:58:27.7773463Z [ OK ] Simplify.SimplifyEliminateEmptyCond (0 ms) 2022-11-23T01:58:27.7773822Z [ RUN ] Simplify.SimplifyConstantComparisons 2022-11-23T01:58:27.7777018Z [ OK ] Simplify.SimplifyConstantComparisons (0 ms) 2022-11-23T01:58:27.7777671Z [ RUN ] Simplify.SimplifySymbolicComparisons 2022-11-23T01:58:27.7784320Z [ OK ] Simplify.SimplifySymbolicComparisons (0 ms) 2022-11-23T01:58:27.7784870Z [ RUN ] Simplify.SimplifyEliminateZeroLengthFor 2022-11-23T01:58:27.7785465Z [ OK ] Simplify.SimplifyEliminateZeroLengthFor (0 ms) 2022-11-23T01:58:27.7785849Z [ RUN ] Simplify.SimplifyOneLoopFor 2022-11-23T01:58:27.7786909Z [ OK ] Simplify.SimplifyOneLoopFor (0 ms) 2022-11-23T01:58:27.7787360Z [ RUN ] Simplify.SimplifyForWontLoseLoopOptions 2022-11-23T01:58:27.7787917Z [ OK ] Simplify.SimplifyForWontLoseLoopOptions (0 ms) 2022-11-23T01:58:27.7788319Z [ RUN ] Simplify.SimplifyMultilevelFor 2022-11-23T01:58:27.7788656Z [ OK ] Simplify.SimplifyMultilevelFor (0 ms) 2022-11-23T01:58:27.7789034Z [ RUN ] Simplify.SimplifyForCleansUp 2022-11-23T01:58:27.7791875Z [ OK ] Simplify.SimplifyForCleansUp (0 ms) 2022-11-23T01:58:27.7792269Z [ RUN ] Simplify.SimplifyEliminateEmptyFor 2022-11-23T01:58:27.7793566Z [ OK ] Simplify.SimplifyEliminateEmptyFor (0 ms) 2022-11-23T01:58:27.7793987Z [ RUN ] Simplify.SimplifyFlattenBlock 2022-11-23T01:58:27.7794367Z [ OK ] Simplify.SimplifyFlattenBlock (0 ms) 2022-11-23T01:58:27.7794867Z [ RUN ] Simplify.SimplifyEliminateZeroLengthAlloc 2022-11-23T01:58:27.7795281Z [ OK ] Simplify.SimplifyEliminateZeroLengthAlloc (0 ms) 2022-11-23T01:58:27.7795681Z [ RUN ] Simplify.DontSimplifyRand 2022-11-23T01:58:27.7795979Z [ OK ] Simplify.DontSimplifyRand (0 ms) 2022-11-23T01:58:27.7796299Z [ RUN ] Simplify.SimplifyReorderForCond 2022-11-23T01:58:27.7801009Z [ OK ] Simplify.SimplifyReorderForCond (0 ms) 2022-11-23T01:58:27.7801336Z [ RUN ] Simplify.SimplifyFuseConditions 2022-11-23T01:58:27.7807790Z [ OK ] Simplify.SimplifyFuseConditions (0 ms) 2022-11-23T01:58:27.7808284Z [ RUN ] Simplify.SimplifySyncThreads 2022-11-23T01:58:27.7808800Z [ OK ] Simplify.SimplifySyncThreads (0 ms) 2022-11-23T01:58:27.7809244Z [ RUN ] Simplify.SimplifyRampSubBroadcast 2022-11-23T01:58:27.7809657Z [ OK ] Simplify.SimplifyRampSubBroadcast (0 ms) 2022-11-23T01:58:27.7810014Z [ RUN ] Simplify.SimplifyBroadcastTermExpander 2022-11-23T01:58:27.7810391Z [ OK ] Simplify.SimplifyBroadcastTermExpander (0 ms) 2022-11-23T01:58:27.7810743Z [ RUN ] Simplify.CompareSelectLoopBounds 2022-11-23T01:58:27.7898212Z [ OK ] Simplify.CompareSelectLoopBounds (8 ms) 2022-11-23T01:58:27.7898797Z [ RUN ] Simplify.CompareSelectCondAlwaysInLoopBounds 2022-11-23T01:58:27.7899246Z [ OK ] Simplify.CompareSelectCondAlwaysInLoopBounds (0 ms) 2022-11-23T01:58:27.7899645Z [ RUN ] Simplify.IfThenCondAlwaysInLoopBounds 2022-11-23T01:58:27.7900020Z [ OK ] Simplify.IfThenCondAlwaysInLoopBounds (0 ms) 2022-11-23T01:58:27.7900429Z [ RUN ] Simplify.MultiClauseCondAlwaysInLoopBounds 2022-11-23T01:58:27.7901238Z [ OK ] Simplify.MultiClauseCondAlwaysInLoopBounds (0 ms) 2022-11-23T01:58:27.7901712Z [----------] 92 tests from Simplify (33 ms total) 2022-11-23T01:58:27.7901863Z 2022-11-23T01:58:27.7902224Z [----------] 12 tests from TEFuserPass 2022-11-23T01:58:27.7902505Z [ RUN ] TEFuserPass.FuserPass_1 2022-11-23T01:58:27.7907705Z [ OK ] TEFuserPass.FuserPass_1 (0 ms) 2022-11-23T01:58:27.7908059Z [ RUN ] TEFuserPass.FuserPass_2 2022-11-23T01:58:27.7911252Z [ OK ] TEFuserPass.FuserPass_2 (0 ms) 2022-11-23T01:58:27.7911552Z [ RUN ] TEFuserPass.FuserPass_3 2022-11-23T01:58:27.7913730Z [ OK ] TEFuserPass.FuserPass_3 (0 ms) 2022-11-23T01:58:27.7914038Z [ RUN ] TEFuserPass.FuserPass_0DimInput 2022-11-23T01:58:27.7916123Z [ OK ] TEFuserPass.FuserPass_0DimInput (0 ms) 2022-11-23T01:58:27.7916717Z [ RUN ] TEFuserPass.FuserPass_UnfusibleDevice 2022-11-23T01:58:27.7917400Z [ OK ] TEFuserPass.FuserPass_UnfusibleDevice (0 ms) 2022-11-23T01:58:27.7917976Z [ RUN ] TEFuserPass.FuserPass_UnknownShapes 2022-11-23T01:58:27.7918765Z [ OK ] TEFuserPass.FuserPass_UnknownShapes (0 ms) 2022-11-23T01:58:27.7919099Z [ RUN ] TEFuserPass.FuserPass_Multidevice 2022-11-23T01:58:27.7925699Z [ OK ] TEFuserPass.FuserPass_Multidevice (0 ms) 2022-11-23T01:58:27.7926260Z [ RUN ] TEFuserPass.FuserPass_MergeGroups 2022-11-23T01:58:27.7928323Z [ OK ] TEFuserPass.FuserPass_MergeGroups (0 ms) 2022-11-23T01:58:27.7928949Z [ RUN ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart 2022-11-23T01:58:27.7929924Z [ OK ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart (0 ms) 2022-11-23T01:58:27.7930503Z [ RUN ] TEFuserPass.FuserPass_Where 2022-11-23T01:58:27.7932701Z [ OK ] TEFuserPass.FuserPass_Where (0 ms) 2022-11-23T01:58:27.7933261Z [ RUN ] TEFuserPass.FuserPass_WhereList 2022-11-23T01:58:27.7933847Z [ OK ] TEFuserPass.FuserPass_WhereList (0 ms) 2022-11-23T01:58:27.7934424Z [ RUN ] TEFuserPass.DynamicShapeFusion 2022-11-23T01:58:28.0546448Z [ OK ] TEFuserPass.DynamicShapeFusion (261 ms) 2022-11-23T01:58:28.0547127Z [----------] 12 tests from TEFuserPass (264 ms total) 2022-11-23T01:58:28.0547395Z 2022-11-23T01:58:28.0547637Z [----------] 3 tests from Type 2022-11-23T01:58:28.0547884Z [ RUN ] Type.Test01 2022-11-23T01:58:28.0548131Z [ OK ] Type.Test01 (0 ms) 2022-11-23T01:58:28.0548363Z [ RUN ] Type.BitCasting 2022-11-23T01:58:28.0548630Z [ OK ] Type.BitCasting (0 ms) 2022-11-23T01:58:28.0548888Z [ RUN ] Type.Propagation 2022-11-23T01:58:28.0549143Z [ OK ] Type.Propagation (0 ms) 2022-11-23T01:58:28.0549425Z [----------] 3 tests from Type (0 ms total) 2022-11-23T01:58:28.0549564Z 2022-11-23T01:58:28.0549754Z [----------] 1 test from SpecializationsInCustomPasses 2022-11-23T01:58:28.0550101Z [ RUN ] SpecializationsInCustomPasses.Basic 2022-11-23T01:58:28.0563073Z [ OK ] SpecializationsInCustomPasses.Basic (1 ms) 2022-11-23T01:58:28.0563523Z [----------] 1 test from SpecializationsInCustomPasses (1 ms total) 2022-11-23T01:58:28.0563718Z 2022-11-23T01:58:28.0563852Z [----------] 150 tests from LLVM 2022-11-23T01:58:28.0564089Z [ RUN ] LLVM.ByteImmTest 2022-11-23T01:58:28.0762819Z [ OK ] LLVM.ByteImmTest (19 ms) 2022-11-23T01:58:28.0763097Z [ RUN ] LLVM.CharImmTest 2022-11-23T01:58:28.0946086Z [ OK ] LLVM.CharImmTest (18 ms) 2022-11-23T01:58:28.0946375Z [ RUN ] LLVM.ShortImmTest 2022-11-23T01:58:28.1127843Z [ OK ] LLVM.ShortImmTest (18 ms) 2022-11-23T01:58:28.1128133Z [ RUN ] LLVM.IntImmTest 2022-11-23T01:58:28.1309810Z [ OK ] LLVM.IntImmTest (18 ms) 2022-11-23T01:58:28.1310122Z [ RUN ] LLVM.LongImmTest 2022-11-23T01:58:28.1490619Z [ OK ] LLVM.LongImmTest (18 ms) 2022-11-23T01:58:28.1491133Z [ RUN ] LLVM.FloatImmTest 2022-11-23T01:58:28.1671390Z [ OK ] LLVM.FloatImmTest (18 ms) 2022-11-23T01:58:28.1671675Z [ RUN ] LLVM.DoubleImmTest 2022-11-23T01:58:28.1852802Z [ OK ] LLVM.DoubleImmTest (18 ms) 2022-11-23T01:58:28.1853103Z [ RUN ] LLVM.HalfImmTest 2022-11-23T01:58:28.2036350Z [ OK ] LLVM.HalfImmTest (18 ms) 2022-11-23T01:58:28.2036826Z [ RUN ] LLVM.ByteAddTest 2022-11-23T01:58:28.2218830Z [ OK ] LLVM.ByteAddTest (18 ms) 2022-11-23T01:58:28.2219086Z [ RUN ] LLVM.CharAddTest 2022-11-23T01:58:28.2399491Z [ OK ] LLVM.CharAddTest (18 ms) 2022-11-23T01:58:28.2399771Z [ RUN ] LLVM.ShortAddTest 2022-11-23T01:58:28.2581173Z [ OK ] LLVM.ShortAddTest (18 ms) 2022-11-23T01:58:28.2581468Z [ RUN ] LLVM.IntAddTest 2022-11-23T01:58:28.2761661Z [ OK ] LLVM.IntAddTest (17 ms) 2022-11-23T01:58:28.2761964Z [ RUN ] LLVM.LongAddTest 2022-11-23T01:58:28.2941675Z [ OK ] LLVM.LongAddTest (17 ms) 2022-11-23T01:58:28.2941967Z [ RUN ] LLVM.FloatAddTest 2022-11-23T01:58:28.3123540Z [ OK ] LLVM.FloatAddTest (18 ms) 2022-11-23T01:58:28.3123819Z [ RUN ] LLVM.DoubleAddTest 2022-11-23T01:58:28.3301188Z [ OK ] LLVM.DoubleAddTest (17 ms) 2022-11-23T01:58:28.3301532Z [ RUN ] LLVM.HalfAddTest 2022-11-23T01:58:28.3481618Z [ OK ] LLVM.HalfAddTest (17 ms) 2022-11-23T01:58:28.3481875Z [ RUN ] LLVM.ByteSubTest 2022-11-23T01:58:28.3660527Z [ OK ] LLVM.ByteSubTest (17 ms) 2022-11-23T01:58:28.3660804Z [ RUN ] LLVM.CharSubTest 2022-11-23T01:58:28.3839700Z [ OK ] LLVM.CharSubTest (17 ms) 2022-11-23T01:58:28.3839991Z [ RUN ] LLVM.ShortSubTest 2022-11-23T01:58:28.4019708Z [ OK ] LLVM.ShortSubTest (17 ms) 2022-11-23T01:58:28.4020123Z [ RUN ] LLVM.IntSubTest 2022-11-23T01:58:28.4198172Z [ OK ] LLVM.IntSubTest (17 ms) 2022-11-23T01:58:28.4198716Z [ RUN ] LLVM.LongSubTest 2022-11-23T01:58:28.4379007Z [ OK ] LLVM.LongSubTest (18 ms) 2022-11-23T01:58:28.4379494Z [ RUN ] LLVM.FloatSubTest 2022-11-23T01:58:28.4559731Z [ OK ] LLVM.FloatSubTest (17 ms) 2022-11-23T01:58:28.4560256Z [ RUN ] LLVM.DoubleSubTest 2022-11-23T01:58:28.4739233Z [ OK ] LLVM.DoubleSubTest (18 ms) 2022-11-23T01:58:28.4739702Z [ RUN ] LLVM.HalfSubTest 2022-11-23T01:58:28.4919744Z [ OK ] LLVM.HalfSubTest (18 ms) 2022-11-23T01:58:28.4920231Z [ RUN ] LLVM.ByteMulTest 2022-11-23T01:58:28.5098040Z [ OK ] LLVM.ByteMulTest (17 ms) 2022-11-23T01:58:28.5098536Z [ RUN ] LLVM.CharMulTest 2022-11-23T01:58:28.5276134Z [ OK ] LLVM.CharMulTest (17 ms) 2022-11-23T01:58:28.5276645Z [ RUN ] LLVM.ShortMulTest 2022-11-23T01:58:28.5454128Z [ OK ] LLVM.ShortMulTest (17 ms) 2022-11-23T01:58:28.5454622Z [ RUN ] LLVM.IntMulTest 2022-11-23T01:58:28.5632370Z [ OK ] LLVM.IntMulTest (17 ms) 2022-11-23T01:58:28.5632635Z [ RUN ] LLVM.LongMulTest 2022-11-23T01:58:28.5811600Z [ OK ] LLVM.LongMulTest (17 ms) 2022-11-23T01:58:28.5811880Z [ RUN ] LLVM.FloatMulTest 2022-11-23T01:58:28.5991961Z [ OK ] LLVM.FloatMulTest (18 ms) 2022-11-23T01:58:28.5992238Z [ RUN ] LLVM.DoubleMulTest 2022-11-23T01:58:28.6174153Z [ OK ] LLVM.DoubleMulTest (18 ms) 2022-11-23T01:58:28.6174439Z [ RUN ] LLVM.HalfMulTest 2022-11-23T01:58:28.6353663Z [ OK ] LLVM.HalfMulTest (17 ms) 2022-11-23T01:58:28.6353935Z [ RUN ] LLVM.ByteDivTest 2022-11-23T01:58:28.6531931Z [ OK ] LLVM.ByteDivTest (17 ms) 2022-11-23T01:58:28.6532419Z [ RUN ] LLVM.CharDivTest 2022-11-23T01:58:28.6710779Z [ OK ] LLVM.CharDivTest (17 ms) 2022-11-23T01:58:28.6711058Z [ RUN ] LLVM.ShortDivTest 2022-11-23T01:58:28.6890407Z [ OK ] LLVM.ShortDivTest (17 ms) 2022-11-23T01:58:28.6890682Z [ RUN ] LLVM.IntDivTest 2022-11-23T01:58:28.7071579Z [ OK ] LLVM.IntDivTest (18 ms) 2022-11-23T01:58:28.7072039Z [ RUN ] LLVM.LongDivTest 2022-11-23T01:58:28.7251101Z [ OK ] LLVM.LongDivTest (17 ms) 2022-11-23T01:58:28.7251409Z [ RUN ] LLVM.FloatDivTest 2022-11-23T01:58:28.7432692Z [ OK ] LLVM.FloatDivTest (18 ms) 2022-11-23T01:58:28.7432956Z [ RUN ] LLVM.DoubleDivTest 2022-11-23T01:58:28.7616899Z [ OK ] LLVM.DoubleDivTest (18 ms) 2022-11-23T01:58:28.7617175Z [ RUN ] LLVM.HalfDivTest 2022-11-23T01:58:28.7798551Z [ OK ] LLVM.HalfDivTest (18 ms) 2022-11-23T01:58:28.7798874Z [ RUN ] LLVM.IntToFloatCastTest 2022-11-23T01:58:28.7978677Z [ OK ] LLVM.IntToFloatCastTest (17 ms) 2022-11-23T01:58:28.7979041Z [ RUN ] LLVM.FloatToIntCastTest 2022-11-23T01:58:28.8159398Z [ OK ] LLVM.FloatToIntCastTest (18 ms) 2022-11-23T01:58:28.8159696Z [ RUN ] LLVM.IntToLongCastTest 2022-11-23T01:58:28.8340275Z [ OK ] LLVM.IntToLongCastTest (18 ms) 2022-11-23T01:58:28.8340577Z [ RUN ] LLVM.ByteToCharCastTest 2022-11-23T01:58:28.8518934Z [ OK ] LLVM.ByteToCharCastTest (17 ms) 2022-11-23T01:58:28.8519232Z [ RUN ] LLVM.HalfToLongCastTest 2022-11-23T01:58:28.8699589Z [ OK ] LLVM.HalfToLongCastTest (17 ms) 2022-11-23T01:58:28.8699901Z [ RUN ] LLVM.ByteToDoubleCastTest 2022-11-23T01:58:28.8880300Z [ OK ] LLVM.ByteToDoubleCastTest (18 ms) 2022-11-23T01:58:28.8880863Z [ RUN ] LLVM.FloatToByteCastTest 2022-11-23T01:58:28.9060201Z [ OK ] LLVM.FloatToByteCastTest (17 ms) 2022-11-23T01:58:28.9060647Z [ RUN ] LLVM.FloatToCharCastTest 2022-11-23T01:58:28.9237041Z [ OK ] LLVM.FloatToCharCastTest (17 ms) 2022-11-23T01:58:28.9237577Z [ RUN ] LLVM.ByteToFloatCastTest 2022-11-23T01:58:28.9417390Z [ OK ] LLVM.ByteToFloatCastTest (17 ms) 2022-11-23T01:58:28.9417848Z [ RUN ] LLVM.CharToFloatCastTest 2022-11-23T01:58:28.9597950Z [ OK ] LLVM.CharToFloatCastTest (17 ms) 2022-11-23T01:58:28.9598475Z [ RUN ] LLVM.BitCast 2022-11-23T01:58:29.0317579Z [ OK ] LLVM.BitCast (71 ms) 2022-11-23T01:58:29.0317960Z [ RUN ] LLVM.fastLogFloat 2022-11-23T01:58:29.0927792Z [ OK ] LLVM.fastLogFloat (61 ms) 2022-11-23T01:58:29.0928259Z [ RUN ] LLVM.LetTest01 2022-11-23T01:58:29.1113738Z [ OK ] LLVM.LetTest01 (18 ms) 2022-11-23T01:58:29.1114249Z [ RUN ] LLVM.LetTest02 2022-11-23T01:58:29.1293612Z [ OK ] LLVM.LetTest02 (18 ms) 2022-11-23T01:58:29.1294134Z [ RUN ] LLVM.LetTestMultitype 2022-11-23T01:58:29.1474064Z [ OK ] LLVM.LetTestMultitype (17 ms) 2022-11-23T01:58:29.1474540Z [ RUN ] LLVM.BufferTest 2022-11-23T01:58:29.1655619Z [ OK ] LLVM.BufferTest (18 ms) 2022-11-23T01:58:29.1656095Z [ RUN ] LLVM.BlockTest 2022-11-23T01:58:29.1838180Z [ OK ] LLVM.BlockTest (18 ms) 2022-11-23T01:58:29.1838715Z [ RUN ] LLVM.LoadStoreTest 2022-11-23T01:58:29.2021086Z [ OK ] LLVM.LoadStoreTest (18 ms) 2022-11-23T01:58:29.2021578Z [ RUN ] LLVM.IfThenElseTest 2022-11-23T01:58:29.2216639Z [ OK ] LLVM.IfThenElseTest (19 ms) 2022-11-23T01:58:29.2217179Z [ RUN ] LLVM.CondNoFalseBlockTest 2022-11-23T01:58:29.2791948Z [ OK ] LLVM.CondNoFalseBlockTest (57 ms) 2022-11-23T01:58:29.2792274Z [ RUN ] LLVM.CondTest 2022-11-23T01:58:29.3367824Z [ OK ] LLVM.CondTest (57 ms) 2022-11-23T01:58:29.3368230Z [ RUN ] LLVM.CondNestedTest 2022-11-23T01:58:29.4176279Z [ OK ] LLVM.CondNestedTest (80 ms) 2022-11-23T01:58:29.4176616Z [ RUN ] LLVM.DirectVectorization 2022-11-23T01:58:29.4428006Z [ OK ] LLVM.DirectVectorization (25 ms) 2022-11-23T01:58:29.4428607Z [ RUN ] LLVM.VecLoadStoreTest 2022-11-23T01:58:29.4613418Z [ OK ] LLVM.VecLoadStoreTest (18 ms) 2022-11-23T01:58:29.4613719Z [ RUN ] LLVM.VecFloat_erfLane4Test 2022-11-23T01:58:29.4799655Z [ OK ] LLVM.VecFloat_erfLane4Test (18 ms) 2022-11-23T01:58:29.4799963Z [ RUN ] LLVM.VecFloat_erfcLane4Test 2022-11-23T01:58:29.4988596Z [ OK ] LLVM.VecFloat_erfcLane4Test (18 ms) 2022-11-23T01:58:29.4989105Z [ RUN ] LLVM.VecFloat_acosLane4Test 2022-11-23T01:58:29.5174290Z [ OK ] LLVM.VecFloat_acosLane4Test (18 ms) 2022-11-23T01:58:29.5174822Z [ RUN ] LLVM.VecFloat_asinLane4Test 2022-11-23T01:58:29.5360781Z [ OK ] LLVM.VecFloat_asinLane4Test (18 ms) 2022-11-23T01:58:29.5361188Z [ RUN ] LLVM.VecFloat_atanLane4Test 2022-11-23T01:58:29.5548063Z [ OK ] LLVM.VecFloat_atanLane4Test (18 ms) 2022-11-23T01:58:29.5548435Z [ RUN ] LLVM.VecFloat_coshLane4Test 2022-11-23T01:58:29.5735839Z [ OK ] LLVM.VecFloat_coshLane4Test (18 ms) 2022-11-23T01:58:29.5736169Z [ RUN ] LLVM.VecFloat_sinhLane4Test 2022-11-23T01:58:29.5922513Z [ OK ] LLVM.VecFloat_sinhLane4Test (18 ms) 2022-11-23T01:58:29.5922841Z [ RUN ] LLVM.VecFloat_tanhLane4Test 2022-11-23T01:58:29.6109105Z [ OK ] LLVM.VecFloat_tanhLane4Test (18 ms) 2022-11-23T01:58:29.6109431Z [ RUN ] LLVM.VecFloat_expm1Lane4Test 2022-11-23T01:58:29.6296363Z [ OK ] LLVM.VecFloat_expm1Lane4Test (18 ms) 2022-11-23T01:58:29.6296678Z [ RUN ] LLVM.VecFloat_lgammaLane4Test 2022-11-23T01:58:29.6488174Z [ OK ] LLVM.VecFloat_lgammaLane4Test (19 ms) 2022-11-23T01:58:29.6488482Z [ RUN ] LLVM.VecFloat_erfLane8Test 2022-11-23T01:58:29.6682440Z [ OK ] LLVM.VecFloat_erfLane8Test (19 ms) 2022-11-23T01:58:29.6682758Z [ RUN ] LLVM.VecFloat_erfcLane8Test 2022-11-23T01:58:29.6873508Z [ OK ] LLVM.VecFloat_erfcLane8Test (19 ms) 2022-11-23T01:58:29.6873797Z [ RUN ] LLVM.VecFloat_acosLane8Test 2022-11-23T01:58:29.7065819Z [ OK ] LLVM.VecFloat_acosLane8Test (19 ms) 2022-11-23T01:58:29.7066123Z [ RUN ] LLVM.VecFloat_asinLane8Test 2022-11-23T01:58:29.7256317Z [ OK ] LLVM.VecFloat_asinLane8Test (19 ms) 2022-11-23T01:58:29.7256600Z [ RUN ] LLVM.VecFloat_atanLane8Test 2022-11-23T01:58:29.7445439Z [ OK ] LLVM.VecFloat_atanLane8Test (18 ms) 2022-11-23T01:58:29.7445758Z [ RUN ] LLVM.VecFloat_coshLane8Test 2022-11-23T01:58:29.7635202Z [ OK ] LLVM.VecFloat_coshLane8Test (19 ms) 2022-11-23T01:58:29.7635484Z [ RUN ] LLVM.VecFloat_sinhLane8Test 2022-11-23T01:58:29.7822123Z [ OK ] LLVM.VecFloat_sinhLane8Test (18 ms) 2022-11-23T01:58:29.7822419Z [ RUN ] LLVM.VecFloat_tanhLane8Test 2022-11-23T01:58:29.8012391Z [ OK ] LLVM.VecFloat_tanhLane8Test (18 ms) 2022-11-23T01:58:29.8012688Z [ RUN ] LLVM.VecFloat_expm1Lane8Test 2022-11-23T01:58:29.8201191Z [ OK ] LLVM.VecFloat_expm1Lane8Test (18 ms) 2022-11-23T01:58:29.8201504Z [ RUN ] LLVM.VecFloat_lgammaLane8Test 2022-11-23T01:58:29.8392249Z [ OK ] LLVM.VecFloat_lgammaLane8Test (19 ms) 2022-11-23T01:58:29.8392541Z [ RUN ] LLVM.VecDouble_erfLane2Test 2022-11-23T01:58:29.8583147Z [ OK ] LLVM.VecDouble_erfLane2Test (19 ms) 2022-11-23T01:58:29.8583462Z [ RUN ] LLVM.VecDouble_erfcLane2Test 2022-11-23T01:58:29.8772216Z [ OK ] LLVM.VecDouble_erfcLane2Test (18 ms) 2022-11-23T01:58:29.8772776Z [ RUN ] LLVM.VecDouble_acosLane2Test 2022-11-23T01:58:29.8961010Z [ OK ] LLVM.VecDouble_acosLane2Test (18 ms) 2022-11-23T01:58:29.8961532Z [ RUN ] LLVM.VecDouble_asinLane2Test 2022-11-23T01:58:29.9148347Z [ OK ] LLVM.VecDouble_asinLane2Test (18 ms) 2022-11-23T01:58:29.9148880Z [ RUN ] LLVM.VecDouble_atanLane2Test 2022-11-23T01:58:29.9336388Z [ OK ] LLVM.VecDouble_atanLane2Test (18 ms) 2022-11-23T01:58:29.9336864Z [ RUN ] LLVM.VecDouble_coshLane2Test 2022-11-23T01:58:29.9524678Z [ OK ] LLVM.VecDouble_coshLane2Test (18 ms) 2022-11-23T01:58:29.9525391Z [ RUN ] LLVM.VecDouble_sinhLane2Test 2022-11-23T01:58:29.9712341Z [ OK ] LLVM.VecDouble_sinhLane2Test (18 ms) 2022-11-23T01:58:29.9712867Z [ RUN ] LLVM.VecDouble_tanhLane2Test 2022-11-23T01:58:29.9899752Z [ OK ] LLVM.VecDouble_tanhLane2Test (18 ms) 2022-11-23T01:58:29.9900315Z [ RUN ] LLVM.VecDouble_expm1Lane2Test 2022-11-23T01:58:30.0086534Z [ OK ] LLVM.VecDouble_expm1Lane2Test (18 ms) 2022-11-23T01:58:30.0087092Z [ RUN ] LLVM.VecDouble_lgammaLane2Test 2022-11-23T01:58:30.0278146Z [ OK ] LLVM.VecDouble_lgammaLane2Test (19 ms) 2022-11-23T01:58:30.0278823Z [ RUN ] LLVM.VecDouble_erfLane4Test 2022-11-23T01:58:30.0469860Z [ OK ] LLVM.VecDouble_erfLane4Test (19 ms) 2022-11-23T01:58:30.0470200Z [ RUN ] LLVM.VecDouble_erfcLane4Test 2022-11-23T01:58:30.0658409Z [ OK ] LLVM.VecDouble_erfcLane4Test (18 ms) 2022-11-23T01:58:30.0658728Z [ RUN ] LLVM.VecDouble_acosLane4Test 2022-11-23T01:58:30.0847581Z [ OK ] LLVM.VecDouble_acosLane4Test (18 ms) 2022-11-23T01:58:30.0847902Z [ RUN ] LLVM.VecDouble_asinLane4Test 2022-11-23T01:58:30.1033346Z [ OK ] LLVM.VecDouble_asinLane4Test (18 ms) 2022-11-23T01:58:30.1033649Z [ RUN ] LLVM.VecDouble_atanLane4Test 2022-11-23T01:58:30.1221019Z [ OK ] LLVM.VecDouble_atanLane4Test (18 ms) 2022-11-23T01:58:30.1221334Z [ RUN ] LLVM.VecDouble_coshLane4Test 2022-11-23T01:58:30.1409582Z [ OK ] LLVM.VecDouble_coshLane4Test (18 ms) 2022-11-23T01:58:30.1409895Z [ RUN ] LLVM.VecDouble_sinhLane4Test 2022-11-23T01:58:30.1596191Z [ OK ] LLVM.VecDouble_sinhLane4Test (18 ms) 2022-11-23T01:58:30.1596532Z [ RUN ] LLVM.VecDouble_tanhLane4Test 2022-11-23T01:58:30.1785797Z [ OK ] LLVM.VecDouble_tanhLane4Test (18 ms) 2022-11-23T01:58:30.1786156Z [ RUN ] LLVM.VecDouble_expm1Lane4Test 2022-11-23T01:58:30.1974400Z [ OK ] LLVM.VecDouble_expm1Lane4Test (18 ms) 2022-11-23T01:58:30.1974991Z [ RUN ] LLVM.VecDouble_lgammaLane4Test 2022-11-23T01:58:30.2162566Z [ OK ] LLVM.VecDouble_lgammaLane4Test (18 ms) 2022-11-23T01:58:30.2163167Z [ RUN ] LLVM.VectorizerLoadStoreTest 2022-11-23T01:58:30.2348705Z [ OK ] LLVM.VectorizerLoadStoreTest (18 ms) 2022-11-23T01:58:30.2349048Z [ RUN ] LLVM.VectorizeBitCast 2022-11-23T01:58:30.2553457Z [ OK ] LLVM.VectorizeBitCast (20 ms) 2022-11-23T01:58:30.2553767Z [ RUN ] LLVM.MemcpyTest 2022-11-23T01:58:30.2752901Z [ OK ] LLVM.MemcpyTest (19 ms) 2022-11-23T01:58:30.2753194Z [ RUN ] LLVM.BzeroTest 2022-11-23T01:58:30.2950734Z [ OK ] LLVM.BzeroTest (19 ms) 2022-11-23T01:58:30.2951003Z [ RUN ] LLVM.ElemwiseAdd 2022-11-23T01:58:30.3433494Z [ OK ] LLVM.ElemwiseAdd (48 ms) 2022-11-23T01:58:30.3434017Z [ RUN ] LLVM.ElemwiseAddFloat 2022-11-23T01:58:30.3896704Z [ OK ] LLVM.ElemwiseAddFloat (46 ms) 2022-11-23T01:58:30.3897009Z [ RUN ] LLVM.ElemwiseLog10Float 2022-11-23T01:58:30.4123501Z [ OK ] LLVM.ElemwiseLog10Float (22 ms) 2022-11-23T01:58:30.4123828Z [ RUN ] LLVM.ElemwiseLog1pFloat 2022-11-23T01:58:30.4349702Z [ OK ] LLVM.ElemwiseLog1pFloat (22 ms) 2022-11-23T01:58:30.4350200Z [ RUN ] LLVM.ElemwiseMaxInt 2022-11-23T01:58:30.4671069Z [ OK ] LLVM.ElemwiseMaxInt (32 ms) 2022-11-23T01:58:30.4671358Z [ RUN ] LLVM.ElemwiseMinInt 2022-11-23T01:58:30.4994067Z [ OK ] LLVM.ElemwiseMinInt (32 ms) 2022-11-23T01:58:30.4994582Z [ RUN ] LLVM.ElemwiseMaxFloat 2022-11-23T01:58:30.5281420Z [ OK ] LLVM.ElemwiseMaxFloat (28 ms) 2022-11-23T01:58:30.5281975Z [ RUN ] LLVM.ElemwiseMaxNaNFloat 2022-11-23T01:58:30.5564010Z [ OK ] LLVM.ElemwiseMaxNaNFloat (28 ms) 2022-11-23T01:58:30.5564541Z [ RUN ] LLVM.ElemwiseMinFloat 2022-11-23T01:58:30.5846849Z [ OK ] LLVM.ElemwiseMinFloat (28 ms) 2022-11-23T01:58:30.5847370Z [ RUN ] LLVM.ElemwiseMinNaNFloat 2022-11-23T01:58:30.6128557Z [ OK ] LLVM.ElemwiseMinNaNFloat (28 ms) 2022-11-23T01:58:30.6129066Z [ RUN ] LLVM.ElemwiseMod 2022-11-23T01:58:30.6399004Z [ OK ] LLVM.ElemwiseMod (26 ms) 2022-11-23T01:58:30.6399279Z [ RUN ] LLVM.CompareSelectIntEQ 2022-11-23T01:58:30.6731811Z [ OK ] LLVM.CompareSelectIntEQ (33 ms) 2022-11-23T01:58:30.6732133Z [ RUN ] LLVM.CompareSelectFloatEQ 2022-11-23T01:58:30.7059230Z [ OK ] LLVM.CompareSelectFloatEQ (32 ms) 2022-11-23T01:58:30.7059541Z [ RUN ] LLVM.CompareSelectByteGT 2022-11-23T01:58:30.7388594Z [ OK ] LLVM.CompareSelectByteGT (32 ms) 2022-11-23T01:58:30.7388914Z [ RUN ] LLVM.CompareSelectByteGE 2022-11-23T01:58:30.7718684Z [ OK ] LLVM.CompareSelectByteGE (33 ms) 2022-11-23T01:58:30.7719001Z [ RUN ] LLVM.CompareSelectByteLT 2022-11-23T01:58:30.8048766Z [ OK ] LLVM.CompareSelectByteLT (32 ms) 2022-11-23T01:58:30.8049063Z [ RUN ] LLVM.CompareSelectByteLE 2022-11-23T01:58:30.8379971Z [ OK ] LLVM.CompareSelectByteLE (33 ms) 2022-11-23T01:58:30.8380272Z [ RUN ] LLVM.StoreFloat 2022-11-23T01:58:30.8566036Z [ OK ] LLVM.StoreFloat (18 ms) 2022-11-23T01:58:30.8566328Z [ RUN ] LLVM.SimpleMath01 2022-11-23T01:58:30.8936116Z [ OK ] LLVM.SimpleMath01 (36 ms) 2022-11-23T01:58:30.8936394Z [ RUN ] LLVM.ComputeMul 2022-11-23T01:58:30.9405314Z [ OK ] LLVM.ComputeMul (46 ms) 2022-11-23T01:58:30.9405590Z [ RUN ] LLVM.BroadcastAdd 2022-11-23T01:58:31.0517166Z [ OK ] LLVM.BroadcastAdd (111 ms) 2022-11-23T01:58:31.0517475Z [ RUN ] LLVM.BitwiseOps 2022-11-23T01:58:31.0701203Z [ OK ] LLVM.BitwiseOps (18 ms) 2022-11-23T01:58:31.0701517Z [ RUN ] LLVM.ArithmeticRightShift 2022-11-23T01:58:31.0882189Z [ OK ] LLVM.ArithmeticRightShift (18 ms) 2022-11-23T01:58:31.0882482Z [ RUN ] LLVM.LogicalRightShift 2022-11-23T01:58:31.1061569Z [ OK ] LLVM.LogicalRightShift (17 ms) 2022-11-23T01:58:31.1061985Z [ RUN ] LLVM.DynamicShapeAdd 2022-11-23T01:58:31.2357721Z [ OK ] LLVM.DynamicShapeAdd (129 ms) 2022-11-23T01:58:31.2358072Z [ RUN ] LLVM.BindDynamicShapeAdd 2022-11-23T01:58:31.3653083Z [ OK ] LLVM.BindDynamicShapeAdd (129 ms) 2022-11-23T01:58:31.3653416Z [ RUN ] LLVM.TensorDynamicShapeAdd 2022-11-23T01:58:31.4952299Z [ OK ] LLVM.TensorDynamicShapeAdd (129 ms) 2022-11-23T01:58:31.4952859Z [ RUN ] LLVM.DynamicShape2D 2022-11-23T01:58:31.7119935Z [ OK ] LLVM.DynamicShape2D (216 ms) 2022-11-23T01:58:31.7120242Z [ RUN ] LLVM.EmptyStmt 2022-11-23T01:58:31.7296666Z [ OK ] LLVM.EmptyStmt (17 ms) 2022-11-23T01:58:31.7296966Z [ RUN ] LLVM.EliminatedStmt 2022-11-23T01:58:31.7473045Z [ OK ] LLVM.EliminatedStmt (17 ms) 2022-11-23T01:58:31.7473513Z [ RUN ] LLVM.SimpleReduction 2022-11-23T01:58:31.8294210Z [ OK ] LLVM.SimpleReduction (82 ms) 2022-11-23T01:58:31.8294814Z [ RUN ] LLVM.RFactorReduction 2022-11-23T01:58:31.8617145Z [ OK ] LLVM.RFactorReduction (32 ms) 2022-11-23T01:58:31.8617758Z [ RUN ] LLVM.RFactorVectorizedReduction 2022-11-23T01:58:31.9113020Z [ OK ] LLVM.RFactorVectorizedReduction (49 ms) 2022-11-23T01:58:31.9113615Z [ RUN ] LLVM.SimpleParallelSS 2022-11-23T01:58:31.9354465Z [ OK ] LLVM.SimpleParallelSS (24 ms) 2022-11-23T01:58:31.9355148Z [ RUN ] LLVM.SimpleParallelSP 2022-11-23T01:58:31.9611991Z [ OK ] LLVM.SimpleParallelSP (25 ms) 2022-11-23T01:58:31.9612324Z [ RUN ] LLVM.SimpleParallelPS 2022-11-23T01:58:31.9886465Z [ OK ] LLVM.SimpleParallelPS (27 ms) 2022-11-23T01:58:31.9886952Z [ RUN ] LLVM.SimpleParallelPP 2022-11-23T01:58:32.0151955Z [ OK ] LLVM.SimpleParallelPP (26 ms) 2022-11-23T01:58:32.0152285Z [ RUN ] LLVM.CompositeParallel 2022-11-23T01:58:35.0238581Z [ OK ] LLVM.CompositeParallel (3008 ms) 2022-11-23T01:58:35.0238992Z [ RUN ] LLVM.VectorizedGEMM 2022-11-23T01:58:35.1051444Z [ OK ] LLVM.VectorizedGEMM (81 ms) 2022-11-23T01:58:35.1051776Z [ RUN ] LLVM.CallRaw 2022-11-23T01:58:35.7672613Z [ OK ] LLVM.CallRaw (662 ms) 2022-11-23T01:58:35.7672913Z [ RUN ] LLVM.CustomTarget 2022-11-23T01:58:35.7899881Z [ OK ] LLVM.CustomTarget (22 ms) 2022-11-23T01:58:35.7900204Z [ RUN ] LLVM.CodeGenKernelFuncName 2022-11-23T01:58:35.8269855Z [ OK ] LLVM.CodeGenKernelFuncName (36 ms) 2022-11-23T01:58:35.8270482Z [----------] 150 tests from LLVM (7770 ms total) 2022-11-23T01:58:35.8270641Z 2022-11-23T01:58:35.8270816Z [----------] Global test environment tear-down 2022-11-23T01:58:35.8347267Z [==========] 801 tests from 25 test suites ran. (25192 ms total) 2022-11-23T01:58:35.8347649Z [ PASSED ] 801 tests. 2022-11-23T01:58:35.8347760Z 2022-11-23T01:58:35.8347893Z  YOU HAVE 5 DISABLED TESTS 2022-11-23T01:58:35.8348019Z 2022-11-23T01:58:35.9189635Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *android* ]] 2022-11-23T01:58:35.9190057Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *cuda* ]] 2022-11-23T01:58:35.9190292Z + assert_git_not_dirty 2022-11-23T01:58:35.9190579Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:58:35.9190950Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]] 2022-11-23T01:58:35.9191792Z ++ git status --porcelain 2022-11-23T01:58:36.0027974Z + git_status= 2022-11-23T01:58:36.0028313Z + [[ -n '' ]] 2022-11-23T01:58:36.0028500Z + test_aot_compilation 2022-11-23T01:58:36.0028775Z + echo 'Testing Ahead of Time compilation' 2022-11-23T01:58:36.0029009Z Testing Ahead of Time compilation 2022-11-23T01:58:36.0029640Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:58:36.0040651Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:58:36.0051123Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_aot_compilation 2022-11-23T01:58:36.0051478Z + mkdir -p test/test-reports/cpp-unittest/test_aot_compilation 2022-11-23T01:58:36.0062819Z + '[' -f /opt/conda/lib/python3.10/site-packages/torch/bin/test_mobile_nnc ']' 2022-11-23T01:58:36.0063435Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_mobile_nnc --gtest_output=xml:test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml 2022-11-23T01:58:36.3547053Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T01:58:36.3547504Z [==========] Running 6 tests from 2 test suites. 2022-11-23T01:58:36.3547803Z [----------] Global test environment set-up. 2022-11-23T01:58:36.3548111Z [----------] 4 tests from Function 2022-11-23T01:58:36.3548389Z [ RUN ] Function.ExecuteSlowMul 2022-11-23T01:58:36.3551823Z [ OK ] Function.ExecuteSlowMul (0 ms) 2022-11-23T01:58:36.3552354Z [ RUN ] Function.Serialization 2022-11-23T01:58:36.3552779Z [ OK ] Function.Serialization (0 ms) 2022-11-23T01:58:36.3553060Z [ RUN ] Function.ValidInput 2022-11-23T01:58:36.3553324Z [ OK ] Function.ValidInput (0 ms) 2022-11-23T01:58:36.3553614Z [ RUN ] Function.InvalidInput 2022-11-23T01:58:36.3562054Z [ OK ] Function.InvalidInput (0 ms) 2022-11-23T01:58:36.3562671Z [----------] 4 tests from Function (1 ms total) 2022-11-23T01:58:36.3562893Z 2022-11-23T01:58:36.3563135Z [----------] 2 tests from MobileNNCRegistryTest 2022-11-23T01:58:36.3563465Z [ RUN ] MobileNNCRegistryTest.FindAndRun 2022-11-23T01:58:36.3563820Z [ OK ] MobileNNCRegistryTest.FindAndRun (0 ms) 2022-11-23T01:58:36.3564250Z [ RUN ] MobileNNCRegistryTest.NoKernel 2022-11-23T01:58:36.3564596Z [ OK ] MobileNNCRegistryTest.NoKernel (0 ms) 2022-11-23T01:58:36.3565209Z [----------] 2 tests from MobileNNCRegistryTest (0 ms total) 2022-11-23T01:58:36.3565384Z 2022-11-23T01:58:36.3565610Z [----------] Global test environment tear-down 2022-11-23T01:58:36.3565937Z [==========] 6 tests from 2 test suites ran. (1 ms total) 2022-11-23T01:58:36.3566200Z [ PASSED ] 6 tests. 2022-11-23T01:58:36.3566321Z 2022-11-23T01:58:36.3566442Z  YOU HAVE 1 DISABLED TEST 2022-11-23T01:58:36.3566564Z 2022-11-23T01:58:36.4295663Z + '[' -f /opt/conda/lib/python3.10/site-packages/torch/bin/aot_model_compiler_test ']' 2022-11-23T01:58:36.4295977Z + source test/mobile/nnc/test_aot_compile.sh 2022-11-23T01:58:36.4298352Z ++ set -e -o pipefail 2022-11-23T01:58:36.4302093Z +++ python -c 'import site; print(site.getsitepackages()[0])' 2022-11-23T01:58:36.4473152Z ++ TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch 2022-11-23T01:58:36.4473525Z ++ TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin 2022-11-23T01:58:36.4475535Z +++ dirname test/mobile/nnc/test_aot_compile.sh 2022-11-23T01:58:36.4487893Z ++ CURRENT_DIR=test/mobile/nnc 2022-11-23T01:58:36.4488276Z ++ MODEL=aot_test_model.pt 2022-11-23T01:58:36.4488602Z ++ COMPILED_MODEL=aot_test_model.compiled.pt 2022-11-23T01:58:36.4488860Z ++ COMPILED_CODE=aot_test_model.compiled.ll 2022-11-23T01:58:36.4491161Z +++ mktemp -d -t build_XXX 2022-11-23T01:58:36.4521342Z ++ TMP_DIR=/tmp/build_4lQ 2022-11-23T01:58:36.4522959Z + test_custom_script_ops 2022-11-23T01:58:36.4523516Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]] 2022-11-23T01:58:36.4524060Z + echo 'Testing custom script operators' 2022-11-23T01:58:36.4524422Z Testing custom script operators 2022-11-23T01:58:36.4525159Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build 2022-11-23T01:58:36.4525735Z + pushd test/custom_operator 2022-11-23T01:58:36.4525968Z ~/workspace/test/custom_operator ~/workspace 2022-11-23T01:58:36.4526344Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build 2022-11-23T01:58:36.5664543Z + python test_custom_ops.py -v 2022-11-23T01:58:37.9278131Z Test results will be stored in test-reports/python-unittest/test_custom_ops 2022-11-23T01:58:37.9291354Z 2022-11-23T01:58:37.9291772Z Running tests... 2022-11-23T01:58:37.9292398Z ---------------------------------------------------------------------- 2022-11-23T01:58:37.9331565Z test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.004s) 2022-11-23T01:58:37.9781156Z test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.045s) 2022-11-23T01:58:37.9788241Z test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:58:37.9807453Z test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.) 2022-11-23T01:58:37.9808301Z Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2022-11-23T01:58:37.9820456Z ok (0.003s) 2022-11-23T01:58:37.9827931Z test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:58:37.9831754Z test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.000s) 2022-11-23T01:58:37.9912799Z test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.008s) 2022-11-23T01:58:37.9913184Z 2022-11-23T01:58:37.9913640Z ---------------------------------------------------------------------- 2022-11-23T01:58:37.9913933Z Ran 7 tests in 0.062s 2022-11-23T01:58:37.9914053Z 2022-11-23T01:58:37.9914114Z OK 2022-11-23T01:58:37.9914209Z 2022-11-23T01:58:37.9914295Z Generating XML reports... 2022-11-23T01:58:37.9944316Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20221123015837.xml 2022-11-23T01:58:38.2806775Z + python model.py --export-script-module=model.pt 2022-11-23T01:58:39.7013917Z + build/test_custom_ops ./model.pt 2022-11-23T01:58:40.0610732Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator()) 2022-11-23T01:58:40.1143927Z ok 2022-11-23T01:58:40.1920445Z + popd 2022-11-23T01:58:40.1920787Z ~/workspace 2022-11-23T01:58:40.1921133Z + assert_git_not_dirty 2022-11-23T01:58:40.1921641Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:58:40.1921966Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]] 2022-11-23T01:58:40.1923187Z ++ git status --porcelain 2022-11-23T01:58:40.2742703Z + git_status= 2022-11-23T01:58:40.2743239Z + [[ -n '' ]] 2022-11-23T01:58:40.2743423Z + test_custom_backend 2022-11-23T01:58:40.2743752Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]] 2022-11-23T01:58:40.2744033Z + echo 'Testing custom backends' 2022-11-23T01:58:40.2744220Z Testing custom backends 2022-11-23T01:58:40.2744586Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build 2022-11-23T01:58:40.2744867Z + pushd test/custom_backend 2022-11-23T01:58:40.2745076Z ~/workspace/test/custom_backend ~/workspace 2022-11-23T01:58:40.2745633Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build 2022-11-23T01:58:40.3701864Z + python test_custom_backend.py -v 2022-11-23T01:58:41.7144167Z Test results will be stored in test-reports/python-unittest/test_custom_backend 2022-11-23T01:58:41.7156567Z 2022-11-23T01:58:41.7156729Z Running tests... 2022-11-23T01:58:41.7157101Z ---------------------------------------------------------------------- 2022-11-23T01:58:41.7162809Z test_execute (__main__.TestCustomBackend) 2022-11-23T01:58:41.7678189Z Test execution using the custom backend. ... ok (0.052s) 2022-11-23T01:58:41.7685526Z test_save_load (__main__.TestCustomBackend) 2022-11-23T01:58:41.7858811Z Test that a lowered module can be executed correctly ... ok (0.018s) 2022-11-23T01:58:41.7860796Z 2022-11-23T01:58:41.7861396Z ---------------------------------------------------------------------- 2022-11-23T01:58:41.7861860Z Ran 2 tests in 0.070s 2022-11-23T01:58:41.7861984Z 2022-11-23T01:58:41.7862057Z OK 2022-11-23T01:58:41.7862136Z 2022-11-23T01:58:41.7862229Z Generating XML reports... 2022-11-23T01:58:41.7891915Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20221123015841.xml 2022-11-23T01:58:42.0928218Z + python backend.py --export-module-to=model.pt 2022-11-23T01:58:43.5566380Z + build/test_custom_backend ./model.pt 2022-11-23T01:58:43.9250335Z Testing custom_backend 2022-11-23T01:58:43.9892256Z OK 2022-11-23T01:58:44.0652137Z + rm -f ./model.pt 2022-11-23T01:58:44.0680144Z + popd 2022-11-23T01:58:44.0680408Z ~/workspace 2022-11-23T01:58:44.0680714Z + assert_git_not_dirty 2022-11-23T01:58:44.0681120Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:58:44.0681431Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]] 2022-11-23T01:58:44.0684292Z ++ git status --porcelain 2022-11-23T01:58:44.1504850Z + git_status= 2022-11-23T01:58:44.1505377Z + [[ -n '' ]] 2022-11-23T01:58:44.1505563Z + test_torch_function_benchmark 2022-11-23T01:58:44.1505874Z + echo 'Testing __torch_function__ benchmarks' 2022-11-23T01:58:44.1506106Z Testing __torch_function__ benchmarks 2022-11-23T01:58:44.1506330Z + pushd benchmarks/overrides_benchmark 2022-11-23T01:58:44.1506586Z ~/workspace/benchmarks/overrides_benchmark ~/workspace 2022-11-23T01:58:44.1506867Z + python bench.py -n 1 -m 2 2022-11-23T01:58:45.3169597Z Type tensor had a minimum time of 0.003814697265625 us and a standard deviation of 0.05276785304886289 us. 2022-11-23T01:58:45.3170279Z Type SubTensor had a minimum time of 0.014066696166992188 us and a standard deviation of 0.03692063910420984 us. 2022-11-23T01:58:45.3170733Z Type WithTorchFunction had a minimum time of 0.010251998901367188 us and a standard deviation of 0.016184389096451923 us. 2022-11-23T01:58:45.3171398Z Type SubWithTorchFunction had a minimum time of 0.019073486328125 us and a standard deviation of 0.010115243640029803 us. 2022-11-23T01:58:45.5601062Z + python pyspybench.py Tensor -n 1 2022-11-23T01:58:46.9854533Z + python pyspybench.py SubTensor -n 1 2022-11-23T01:58:48.4138945Z + python pyspybench.py WithTorchFunction -n 1 2022-11-23T01:58:49.8480821Z + python pyspybench.py SubWithTorchFunction -n 1 2022-11-23T01:58:51.2780283Z + popd 2022-11-23T01:58:51.2780671Z ~/workspace 2022-11-23T01:58:51.2780966Z + assert_git_not_dirty 2022-11-23T01:58:51.2781386Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]] 2022-11-23T01:58:51.2781712Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]] 2022-11-23T01:58:51.2783149Z ++ git status --porcelain 2022-11-23T01:58:51.3613284Z + git_status= 2022-11-23T01:58:51.3613845Z + [[ -n '' ]] 2022-11-23T01:58:51.3614119Z + test_benchmarks 2022-11-23T01:58:51.3614429Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]] 2022-11-23T01:58:51.3614668Z + [[ nogpu_AVX512 != *nogpu* ]] 2022-11-23T01:58:51.3690881Z Prepare all required actions 2022-11-23T01:58:51.3691188Z Getting action download info 2022-11-23T01:58:51.5410471Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2022-11-23T01:58:51.7580508Z ##[group]Run ./.github/actions/get-workflow-job-id 2022-11-23T01:58:51.7580718Z with: 2022-11-23T01:58:51.7581071Z github-token: *** 2022-11-23T01:58:51.7581321Z env: 2022-11-23T01:58:51.7581482Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:51.7581762Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:51.7582121Z ##[endgroup] 2022-11-23T01:58:51.7606822Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2022-11-23T01:58:51.7607059Z with: 2022-11-23T01:58:51.7607222Z shell: bash 2022-11-23T01:58:51.7607383Z timeout_minutes: 10 2022-11-23T01:58:51.7607562Z max_attempts: 5 2022-11-23T01:58:51.7607775Z retry_wait_seconds: 30 2022-11-23T01:58:51.7608146Z command: set -eux python3 -m pip install requests==2.26.0 GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}") echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}" 2022-11-23T01:58:51.7608528Z polling_interval_seconds: 1 2022-11-23T01:58:51.7608724Z warning_on_retry: true 2022-11-23T01:58:51.7608910Z continue_on_error: false 2022-11-23T01:58:51.7609073Z env: 2022-11-23T01:58:51.7609245Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:51.7609517Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:51.7609887Z GITHUB_TOKEN: *** 2022-11-23T01:58:51.7610066Z ##[endgroup] 2022-11-23T01:58:52.0937841Z + python3 -m pip install requests==2.26.0 2022-11-23T01:58:52.7546718Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:58:52.7792042Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0) 2022-11-23T01:58:52.7927351Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.12) 2022-11-23T01:58:52.8095213Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12) 2022-11-23T01:58:52.8117814Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.9.24) 2022-11-23T01:58:52.8136746Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4) 2022-11-23T01:58:53.0247223Z ++ python3 .github/scripts/get_workflow_job_id.py 3528293554 i-093dd9b3e43ded204 2022-11-23T01:58:57.7303555Z + GHA_WORKFLOW_JOB_ID=9655198895 2022-11-23T01:58:57.7303944Z + echo job-id=9655198895 2022-11-23T01:58:58.0952405Z Command completed after 1 attempt(s). 2022-11-23T01:58:58.1054661Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2022-11-23T01:58:58.1054901Z kill "$MONITOR_SCRIPT_PID" 2022-11-23T01:58:58.1065916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:58:58.1066141Z env: 2022-11-23T01:58:58.1066319Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:58.1066592Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:58.1066868Z MONITOR_SCRIPT_PID: 30168 2022-11-23T01:58:58.1067058Z ##[endgroup] 2022-11-23T01:58:58.1147488Z Prepare all required actions 2022-11-23T01:58:58.1147746Z Getting action download info 2022-11-23T01:58:58.2841570Z Download action repository 'actions/upload-artifact@v3' (SHA:83fd05a356d7e2593de66fc9913b3002723633cb) 2022-11-23T01:58:58.4207427Z ##[group]Run ./.github/actions/upload-test-artifacts 2022-11-23T01:58:58.4207657Z with: 2022-11-23T01:58:58.4207880Z file-suffix: test-nogpu_AVX512-1-1-linux.2xlarge_9655198895 2022-11-23T01:58:58.4208098Z env: 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93%) 2022-11-23T01:58:58.8242317Z adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 92%) 2022-11-23T01:58:58.8255877Z adding: test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml (deflated 92%) 2022-11-23T01:58:58.8256320Z adding: test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml (deflated 75%) 2022-11-23T01:58:58.8279386Z ##[group]Run # Remove any previous test reports if they exist 2022-11-23T01:58:58.8279687Z # Remove any previous test reports if they exist 2022-11-23T01:58:58.8279920Z rm -f usage-log-*.zip 2022-11-23T01:58:58.8280275Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2022-11-23T01:58:58.8280567Z # so check to see if the file exists first 2022-11-23T01:58:58.8280782Z if [ -f 'usage_log.txt' ]; then 2022-11-23T01:58:58.8281026Z  zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt' 2022-11-23T01:58:58.8281241Z fi 2022-11-23T01:58:58.8292824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:58:58.8293050Z env: 2022-11-23T01:58:58.8293226Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:58.8293497Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:58.8293819Z FILE_SUFFIX: test-nogpu_AVX512-1-1-linux.2xlarge_9655198895 2022-11-23T01:58:58.8294045Z ##[endgroup] 2022-11-23T01:58:58.8590478Z adding: usage_log.txt (deflated 97%) 2022-11-23T01:58:58.8646167Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-11-23T01:58:58.8646385Z with: 2022-11-23T01:58:58.8646575Z s3-prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T01:58:58.8646792Z retention-days: 14 2022-11-23T01:58:58.8646983Z if-no-files-found: warn 2022-11-23T01:58:58.8647167Z path: test-jsons-*.zip 2022-11-23T01:58:58.8647348Z name: artifact 2022-11-23T01:58:58.8647528Z s3-bucket: gha-artifacts 2022-11-23T01:58:58.8647706Z region: us-east-1 2022-11-23T01:58:58.8647868Z env: 2022-11-23T01:58:58.8648035Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:58.8648296Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:58.8648551Z ##[endgroup] 2022-11-23T01:58:59.2607416Z NOTE: s3-prefix specified, ignoring name parameter 2022-11-23T01:58:59.2607896Z With the provided path, there will be 1 file uploaded 2022-11-23T01:58:59.2608361Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T01:58:59.2663055Z Starting upload of test-jsons-test-nogpu_AVX512-1-1-linux.2xlarge_9655198895.zip 2022-11-23T01:58:59.3668814Z Finished upload of test-jsons-test-nogpu_AVX512-1-1-linux.2xlarge_9655198895.zip 2022-11-23T01:58:59.3809504Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-11-23T01:58:59.3809721Z with: 2022-11-23T01:58:59.3809909Z s3-prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T01:58:59.3810125Z retention-days: 14 2022-11-23T01:58:59.3810318Z if-no-files-found: error 2022-11-23T01:58:59.3810505Z path: test-reports-*.zip 2022-11-23T01:58:59.3810685Z name: artifact 2022-11-23T01:58:59.3810866Z s3-bucket: gha-artifacts 2022-11-23T01:58:59.3811039Z region: us-east-1 2022-11-23T01:58:59.3811204Z env: 2022-11-23T01:58:59.3811372Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:59.3811632Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:59.3811891Z ##[endgroup] 2022-11-23T01:58:59.7176424Z NOTE: s3-prefix specified, ignoring name parameter 2022-11-23T01:58:59.7176958Z With the provided path, there will be 1 file uploaded 2022-11-23T01:58:59.7177374Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T01:58:59.7185317Z Starting upload of test-reports-test-nogpu_AVX512-1-1-linux.2xlarge_9655198895.zip 2022-11-23T01:58:59.9075431Z Finished upload of test-reports-test-nogpu_AVX512-1-1-linux.2xlarge_9655198895.zip 2022-11-23T01:58:59.9228987Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-11-23T01:58:59.9229202Z with: 2022-11-23T01:58:59.9229402Z s3-prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T01:58:59.9229606Z retention-days: 14 2022-11-23T01:58:59.9229800Z if-no-files-found: ignore 2022-11-23T01:58:59.9229997Z path: usage-log-*.zip 2022-11-23T01:58:59.9230162Z name: artifact 2022-11-23T01:58:59.9230339Z s3-bucket: gha-artifacts 2022-11-23T01:58:59.9230856Z region: us-east-1 2022-11-23T01:58:59.9231008Z env: 2022-11-23T01:58:59.9231184Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:58:59.9231458Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:58:59.9231797Z ##[endgroup] 2022-11-23T01:59:00.2586466Z NOTE: s3-prefix specified, ignoring name parameter 2022-11-23T01:59:00.2586983Z With the provided path, there will be 1 file uploaded 2022-11-23T01:59:00.2587450Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T01:59:00.2594243Z Starting upload of usage-log-test-nogpu_AVX512-1-1-linux.2xlarge_9655198895.zip 2022-11-23T01:59:00.3703523Z Finished upload of usage-log-test-nogpu_AVX512-1-1-linux.2xlarge_9655198895.zip 2022-11-23T01:59:00.3836111Z ##[group]Run # shellcheck disable=SC2156 2022-11-23T01:59:00.3836358Z # shellcheck disable=SC2156 2022-11-23T01:59:00.3836652Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2022-11-23T01:59:00.3848077Z shell: /usr/bin/bash -e {0} 2022-11-23T01:59:00.3848263Z env: 2022-11-23T01:59:00.3848424Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:59:00.3848703Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:59:00.3848972Z ##[endgroup] 2022-11-23T01:59:01.8743757Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1 2022-11-23T01:59:01.8744281Z Copyright (C) 2018 Free Software Foundation, Inc. 2022-11-23T01:59:01.8744771Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T01:59:01.8745124Z This is free software: you are free to change and redistribute it. 2022-11-23T01:59:01.8745488Z There is NO WARRANTY, to the extent permitted by law. Type "show copying" 2022-11-23T01:59:01.8745745Z and "show warranty" for details. 2022-11-23T01:59:01.8746016Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T01:59:01.8746271Z Type "show configuration" for configuration details. 2022-11-23T01:59:01.8746524Z For bug reporting instructions, please see: 2022-11-23T01:59:01.8746757Z . 2022-11-23T01:59:01.8747020Z Find the GDB manual and other documentation resources online at: 2022-11-23T01:59:01.8747301Z . 2022-11-23T01:59:01.8747511Z For help, type "help". 2022-11-23T01:59:01.8747748Z Type "apropos word" to search for commands related to "word"... 2022-11-23T01:59:01.9923642Z Reading symbols from python...done. 2022-11-23T01:59:02.3937419Z 2022-11-23T01:59:02.3937731Z warning: core file may not match specified executable file. 2022-11-23T01:59:02.4973099Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:02.4973524Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:02.4973876Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:02.4974234Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:02.4974572Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:02.4974924Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:02.4975175Z [New LWP 8782] 2022-11-23T01:59:02.4975330Z [New LWP 8793] 2022-11-23T01:59:02.4975492Z [New LWP 8794] 2022-11-23T01:59:02.4975662Z [New LWP 8792] 2022-11-23T01:59:02.4975811Z [New LWP 8795] 2022-11-23T01:59:02.4975974Z [New LWP 8798] 2022-11-23T01:59:02.4976135Z [New LWP 8796] 2022-11-23T01:59:02.4976282Z [New LWP 8797] 2022-11-23T01:59:02.5051077Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:02.5051658Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:02.7402062Z [Thread debugging using libthread_db enabled] 2022-11-23T01:59:02.7402546Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T01:59:09.7934061Z 51 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T01:59:09.7934713Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T01:59:09.7935227Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T01:59:09.7935568Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T01:59:09.7936084Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:09.7936347Z [Current thread is 1 (Thread 0x7f356a870240 (LWP 8782))] 2022-11-23T01:59:09.8039473Z To enable execution of this file add 2022-11-23T01:59:09.8040227Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T01:59:09.8040782Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:09.8041146Z To completely disable this security protection add 2022-11-23T01:59:09.8041428Z set auto-load safe-path / 2022-11-23T01:59:09.8041670Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:09.8041935Z For more information about this security protection see the 2022-11-23T01:59:09.8042292Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T01:59:09.8042591Z info "(gdb)Auto-loading safe path" 2022-11-23T01:59:09.8115096Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:09.8117037Z #1 0x00007f3532f2acbb in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T01:59:09.8117741Z from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so 2022-11-23T01:59:09.8221402Z #2 2022-11-23T01:59:09.8222018Z #3 0x00007f356932a6f0 in string_at (ptr=0x0, size=-1) 2022-11-23T01:59:09.8222372Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564 2022-11-23T01:59:09.8222946Z #4 0x00007f356a7259dd in ffi_call_unix64 () 2022-11-23T01:59:09.8223541Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:09.8230491Z #5 0x00007f356a725067 in ffi_call_int () 2022-11-23T01:59:09.8231188Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:09.8234639Z #6 0x00007f3569336a25 in _call_function_pointer ( 2022-11-23T01:59:09.8235092Z argtypecount=, argcount=2, resmem=0x7ffc70f81c00, 2022-11-23T01:59:09.8235634Z restype=, atypes=, avalues=, 2022-11-23T01:59:09.8235909Z pProc=0x7f356932a6b5 , flags=4357) 2022-11-23T01:59:09.8236249Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916 2022-11-23T01:59:09.8236480Z #7 _ctypes_callproc () 2022-11-23T01:59:09.8236870Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259 2022-11-23T01:59:09.8237363Z #8 0x00007f356933349f in PyCFuncPtr_call (self=, 2022-11-23T01:59:09.8237664Z inargs=, kwds=) 2022-11-23T01:59:09.8238009Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201 2022-11-23T01:59:09.8240297Z #9 0x00005631f2e8752e in _PyObject_MakeTpCall.localalias.3 () 2022-11-23T01:59:09.8240806Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215 2022-11-23T01:59:09.8260293Z #10 0x00005631f2f2644b in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8260804Z nargsf=, args=0x7f34c3c681b8, callable=, 2022-11-23T01:59:09.8261211Z tstate=) 2022-11-23T01:59:09.8261551Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112 2022-11-23T01:59:09.8261816Z #11 PyObject_Vectorcall () 2022-11-23T01:59:09.8262157Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8264422Z #12 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8264943Z pp_stack=, trace_info=0x7ffc70f81f20, 2022-11-23T01:59:09.8265505Z tstate=) 2022-11-23T01:59:09.8265910Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8266169Z #13 _PyEval_EvalFrameDefault () 2022-11-23T01:59:09.8266507Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:09.8266808Z #14 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8267354Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8267606Z #15 _PyEval_Vector () 2022-11-23T01:59:09.8267931Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8273511Z #16 0x00005631f2e4a2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8274032Z nargsf=, args=0x7f34c3fd7f80, callable=0x7f35695af760, 2022-11-23T01:59:09.8274451Z tstate=) 2022-11-23T01:59:09.8274827Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8275101Z #17 PyObject_Vectorcall () 2022-11-23T01:59:09.8275438Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8277234Z #18 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8277696Z pp_stack=, trace_info=0x7ffc70f82150, 2022-11-23T01:59:09.8278046Z tstate=) 2022-11-23T01:59:09.8278766Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8279323Z #19 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8279651Z throwflag=) 2022-11-23T01:59:09.8280080Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181 2022-11-23T01:59:09.8280621Z #20 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8281356Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8281666Z #21 _PyEval_Vector () 2022-11-23T01:59:09.8281995Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8301841Z #22 0x00005631f2edded5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 2022-11-23T01:59:09.8302375Z args=0x7ffc70f822e0, callable=0x7f34c3c00820, tstate=0x5631f3a14bf0) 2022-11-23T01:59:09.8302975Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8303236Z #23 vectorcall_unbound () 2022-11-23T01:59:09.8303562Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627 2022-11-23T01:59:09.8304291Z #24 vectorcall_method (nargs=2, args=0x7ffc70f822e0, name=0x5631f30f19e0 ) 2022-11-23T01:59:09.8305010Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659 2022-11-23T01:59:09.8305295Z #25 slot_mp_subscript () 2022-11-23T01:59:09.8305616Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253 2022-11-23T01:59:09.8306363Z #26 0x00005631f2eff656 in PyObject_GetItem.localalias.27 () 2022-11-23T01:59:09.8306732Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158 2022-11-23T01:59:09.8309001Z #27 0x00005631f2f26d8a in _PyEval_EvalFrameDefault () 2022-11-23T01:59:09.8309417Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109 2022-11-23T01:59:09.8311101Z #28 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8311611Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8311866Z #29 _PyEval_Vector () 2022-11-23T01:59:09.8312184Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8318078Z #30 0x00005631f2e49425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8318508Z nargsf=, args=0x7f34c3bf1cc8, callable=0x7f34c44d96c0, 2022-11-23T01:59:09.8318911Z tstate=) 2022-11-23T01:59:09.8319277Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8319543Z #31 PyObject_Vectorcall () 2022-11-23T01:59:09.8319873Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8321398Z #32 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8321859Z pp_stack=, trace_info=0x7ffc70f82640, 2022-11-23T01:59:09.8322106Z tstate=) 2022-11-23T01:59:09.8322544Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8322887Z #33 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8323146Z throwflag=) 2022-11-23T01:59:09.8323461Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:09.8324583Z #34 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8325850Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8326131Z #35 _PyEval_Vector () 2022-11-23T01:59:09.8326440Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8331890Z #36 0x00005631f2e499f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8332398Z nargsf=, args=0x5631f8a5f2d8, callable=0x7f34c5f72950, 2022-11-23T01:59:09.8332800Z tstate=) 2022-11-23T01:59:09.8333159Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8333421Z #37 PyObject_Vectorcall () 2022-11-23T01:59:09.8333758Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8334988Z #38 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8335475Z pp_stack=, trace_info=0x7ffc70f82870, 2022-11-23T01:59:09.8335857Z tstate=) 2022-11-23T01:59:09.8336306Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8336889Z #39 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8337215Z throwflag=) 2022-11-23T01:59:09.8337541Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:09.8338075Z #40 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8338721Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8339133Z #41 _PyEval_Vector () 2022-11-23T01:59:09.8339438Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8354538Z #42 0x00005631f2e8cfaa in PyVectorcall_Call (kwargs=, 2022-11-23T01:59:09.8355024Z tuple=0x7f34c3fb7920, callable=0x7f34c5f71c60) 2022-11-23T01:59:09.8355515Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255 2022-11-23T01:59:09.8355769Z #43 _PyObject_Call.localalias.1 () 2022-11-23T01:59:09.8356096Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290 2022-11-23T01:59:09.8361256Z #44 0x00005631f2f28774 in PyObject_Call (kwargs=0x7f35696f6740, 2022-11-23T01:59:09.8361533Z args=0x7f34c3fb7920, callable=0x7f34c5f71c60) 2022-11-23T01:59:09.8361890Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317 2022-11-23T01:59:09.8366736Z #45 do_call_core (kwdict=0x7f35696f6740, callargs=0x7f34c3fb7920, 2022-11-23T01:59:09.8367105Z func=0x7f34c5f71c60, trace_info=0x7ffc70f82b00, tstate=) 2022-11-23T01:59:09.8367603Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919 2022-11-23T01:59:09.8367914Z #46 _PyEval_EvalFrameDefault () 2022-11-23T01:59:09.8368347Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277 2022-11-23T01:59:09.8368973Z #47 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8369529Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8369790Z #48 _PyEval_Vector () 2022-11-23T01:59:09.8370112Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8375018Z #49 0x00005631f2e499f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8375490Z nargsf=, args=0x5631f8a605c8, callable=0x7f3569721630, 2022-11-23T01:59:09.8375737Z tstate=) 2022-11-23T01:59:09.8376084Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8376350Z #50 PyObject_Vectorcall () 2022-11-23T01:59:09.8376694Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8378352Z #51 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8378656Z pp_stack=, trace_info=0x7ffc70f82d30, 2022-11-23T01:59:09.8378972Z tstate=) 2022-11-23T01:59:09.8379491Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8379862Z #52 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8380212Z throwflag=) 2022-11-23T01:59:09.8380667Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:09.8381004Z #53 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8381667Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8381994Z #54 _PyEval_Vector () 2022-11-23T01:59:09.8382312Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8387669Z #55 0x00005631f2e499f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8388126Z nargsf=, args=0x5631f3ab1420, callable=0x7f3569721fc0, 2022-11-23T01:59:09.8388571Z tstate=) 2022-11-23T01:59:09.8389031Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8389286Z #56 PyObject_Vectorcall () 2022-11-23T01:59:09.8389627Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8390986Z #57 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8391460Z pp_stack=, trace_info=0x7ffc70f82f60, 2022-11-23T01:59:09.8391871Z tstate=) 2022-11-23T01:59:09.8392482Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8392840Z #58 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8393076Z throwflag=) 2022-11-23T01:59:09.8393402Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:09.8393803Z #59 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8394474Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8394755Z #60 _PyEval_Vector () 2022-11-23T01:59:09.8395069Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8400852Z #61 0x00005631f2e49425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:09.8401322Z nargsf=, args=0x7f356986c200, callable=0x7f35695a2d40, 2022-11-23T01:59:09.8401752Z tstate=) 2022-11-23T01:59:09.8402171Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8402420Z #62 PyObject_Vectorcall () 2022-11-23T01:59:09.8402756Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8404487Z #63 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:09.8405155Z pp_stack=, trace_info=0x7ffc70f83190, 2022-11-23T01:59:09.8405532Z tstate=) 2022-11-23T01:59:09.8405916Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8406489Z #64 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8406893Z throwflag=) 2022-11-23T01:59:09.8407276Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:09.8407696Z #65 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8408109Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8408373Z #66 _PyEval_Vector () 2022-11-23T01:59:09.8408691Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8413074Z #67 0x00005631f2e4a0b5 in _PyObject_VectorcallTstate (kwnames=0x7f3569863f00, 2022-11-23T01:59:09.8413700Z nargsf=, args=, callable=0x7f35695a2cb0, 2022-11-23T01:59:09.8414114Z tstate=) 2022-11-23T01:59:09.8414479Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:09.8414734Z #68 PyObject_Vectorcall () 2022-11-23T01:59:09.8415077Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:09.8416591Z #69 call_function (kwnames=0x7f3569863f00, oparg=, 2022-11-23T01:59:09.8417075Z pp_stack=, trace_info=0x7ffc70f833c0, 2022-11-23T01:59:09.8417468Z tstate=) 2022-11-23T01:59:09.8417916Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:09.8418436Z #70 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:09.8418860Z throwflag=) 2022-11-23T01:59:09.8419261Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231 2022-11-23T01:59:09.8419671Z #71 0x00005631f2ed4742 in _PyEval_EvalFrame () 2022-11-23T01:59:09.8420318Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:09.8420673Z #72 _PyEval_Vector () 2022-11-23T01:59:09.8420989Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:09.8438866Z #73 0x00005631f2ee3578 in PyEval_EvalCode (co=0x7f3569804920, 2022-11-23T01:59:09.8439298Z globals=0x7f35697f6440, locals=) 2022-11-23T01:59:09.8439804Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134 2022-11-23T01:59:09.8441705Z #74 0x00005631f2f998fb in run_eval_code_obj () 2022-11-23T01:59:09.8442116Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291 2022-11-23T01:59:09.8445318Z #75 0x00005631f2fd23a5 in run_mod () 2022-11-23T01:59:09.8445720Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312 2022-11-23T01:59:09.8448403Z #76 0x00005631f2fd71ca in PyRun_StringFlags.localalias.3 () 2022-11-23T01:59:09.8448823Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183 2022-11-23T01:59:09.8451422Z #77 0x00005631f2fd722c in PyRun_SimpleStringFlags.localalias.9 () 2022-11-23T01:59:09.8451867Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503 2022-11-23T01:59:09.8463330Z #78 0x00005631f2fd76cd in pymain_run_command (command=) 2022-11-23T01:59:09.8463761Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252 2022-11-23T01:59:09.8465845Z #79 pymain_run_python (exitcode=0x7ffc70f83690) 2022-11-23T01:59:09.8466428Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582 2022-11-23T01:59:09.8466881Z #80 Py_RunMain.localalias.0 () 2022-11-23T01:59:09.8467267Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670 2022-11-23T01:59:09.8468836Z #81 0x00005631f2fd77d9 in Py_BytesMain () 2022-11-23T01:59:09.8469388Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083 2022-11-23T01:59:09.8488946Z #82 0x00007f35698d4c87 in __libc_start_main (main=0x5631f2e6a650
, 2022-11-23T01:59:09.8489299Z argc=5, argv=0x7ffc70f83898, init=, fini=, 2022-11-23T01:59:09.8489581Z rtld_fini=, stack_end=0x7ffc70f83888) 2022-11-23T01:59:09.8489846Z at ../csu/libc-start.c:310 2022-11-23T01:59:09.8491207Z #83 0x00005631f2f575d4 in _start () 2022-11-23T01:59:10.0071639Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1 2022-11-23T01:59:10.0072137Z Copyright (C) 2018 Free Software Foundation, Inc. 2022-11-23T01:59:10.0072603Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T01:59:10.0073123Z This is free software: you are free to change and redistribute it. 2022-11-23T01:59:10.0073621Z There is NO WARRANTY, to the extent permitted by law. Type "show copying" 2022-11-23T01:59:10.0074063Z and "show warranty" for details. 2022-11-23T01:59:10.0074608Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T01:59:10.0075042Z Type "show configuration" for configuration details. 2022-11-23T01:59:10.0075491Z For bug reporting instructions, please see: 2022-11-23T01:59:10.0075926Z . 2022-11-23T01:59:10.0076369Z Find the GDB manual and other documentation resources online at: 2022-11-23T01:59:10.0076858Z . 2022-11-23T01:59:10.0077242Z For help, type "help". 2022-11-23T01:59:10.0077658Z Type "apropos word" to search for commands related to "word"... 2022-11-23T01:59:10.0937715Z Reading symbols from python...done. 2022-11-23T01:59:10.4559577Z 2022-11-23T01:59:10.4559938Z warning: core file may not match specified executable file. 2022-11-23T01:59:10.5513138Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:10.5513569Z [New LWP 8781] 2022-11-23T01:59:10.5513869Z [New LWP 8786] 2022-11-23T01:59:10.5514356Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:10.5514995Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:10.5515634Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:10.5516272Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:10.5516734Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:10.5516984Z [New LWP 8788] 2022-11-23T01:59:10.5517153Z [New LWP 8785] 2022-11-23T01:59:10.5517308Z [New LWP 8787] 2022-11-23T01:59:10.5517469Z [New LWP 8789] 2022-11-23T01:59:10.5517632Z [New LWP 8790] 2022-11-23T01:59:10.5517784Z [New LWP 8791] 2022-11-23T01:59:10.5526890Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:10.5527456Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:10.7770676Z [Thread debugging using libthread_db enabled] 2022-11-23T01:59:10.7771169Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T01:59:17.4138884Z 51 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T01:59:17.4139532Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T01:59:17.4140062Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T01:59:17.4140393Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T01:59:17.4140697Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:17.4141221Z [Current thread is 1 (Thread 0x7fdfbfce5240 (LWP 8781))] 2022-11-23T01:59:17.4170550Z To enable execution of this file add 2022-11-23T01:59:17.4171112Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T01:59:17.4171612Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:17.4171877Z To completely disable this security protection add 2022-11-23T01:59:17.4172127Z set auto-load safe-path / 2022-11-23T01:59:17.4172485Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:17.4172759Z For more information about this security protection see the 2022-11-23T01:59:17.4173100Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T01:59:17.4173396Z info "(gdb)Auto-loading safe path" 2022-11-23T01:59:17.4213860Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:17.4216216Z #1 0x00007fdf8839fcbb in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T01:59:17.4216722Z from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so 2022-11-23T01:59:17.4303525Z #2 2022-11-23T01:59:17.4303927Z #3 0x00007fdfbe79f6f0 in string_at (ptr=0x0, size=-1) 2022-11-23T01:59:17.4304309Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564 2022-11-23T01:59:17.4305202Z #4 0x00007fdfbfb9a9dd in ffi_call_unix64 () 2022-11-23T01:59:17.4305517Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:17.4312115Z #5 0x00007fdfbfb9a067 in ffi_call_int () 2022-11-23T01:59:17.4312414Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:17.4324977Z #6 0x00007fdfbe7aba25 in _call_function_pointer ( 2022-11-23T01:59:17.4325446Z argtypecount=, argcount=2, resmem=0x7ffdeb734060, 2022-11-23T01:59:17.4325953Z restype=, atypes=, avalues=, 2022-11-23T01:59:17.4326233Z pProc=0x7fdfbe79f6b5 , flags=4357) 2022-11-23T01:59:17.4326627Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916 2022-11-23T01:59:17.4326867Z #7 _ctypes_callproc () 2022-11-23T01:59:17.4327213Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259 2022-11-23T01:59:17.4327528Z #8 0x00007fdfbe7a849f in PyCFuncPtr_call (self=, 2022-11-23T01:59:17.4327790Z inargs=, kwds=) 2022-11-23T01:59:17.4328114Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201 2022-11-23T01:59:17.4329655Z #9 0x000056487407d52e in _PyObject_MakeTpCall.localalias.3 () 2022-11-23T01:59:17.4330073Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215 2022-11-23T01:59:17.4336286Z #10 0x000056487411c44b in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4336666Z nargsf=, args=0x7fdf190a41b8, callable=, 2022-11-23T01:59:17.4336977Z tstate=) 2022-11-23T01:59:17.4337340Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112 2022-11-23T01:59:17.4337597Z #11 PyObject_Vectorcall () 2022-11-23T01:59:17.4337936Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4339864Z #12 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4340214Z pp_stack=, trace_info=0x7ffdeb734380, 2022-11-23T01:59:17.4340439Z tstate=) 2022-11-23T01:59:17.4340776Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4341037Z #13 _PyEval_EvalFrameDefault () 2022-11-23T01:59:17.4341398Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:17.4341894Z #14 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4342355Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4342623Z #15 _PyEval_Vector () 2022-11-23T01:59:17.4343113Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4347685Z #16 0x00005648740402a5 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4348105Z nargsf=, args=0x7fdf1940ff80, callable=0x7fdfbea1b760, 2022-11-23T01:59:17.4348342Z tstate=) 2022-11-23T01:59:17.4348706Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4349066Z #17 PyObject_Vectorcall () 2022-11-23T01:59:17.4349409Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4351121Z #18 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4351485Z pp_stack=, trace_info=0x7ffdeb7345b0, 2022-11-23T01:59:17.4351846Z tstate=) 2022-11-23T01:59:17.4352214Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4352891Z #19 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4353702Z throwflag=) 2022-11-23T01:59:17.4354324Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181 2022-11-23T01:59:17.4354610Z #20 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4354975Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4355234Z #21 _PyEval_Vector () 2022-11-23T01:59:17.4355550Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4362176Z #22 0x00005648740d3ed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 2022-11-23T01:59:17.4362561Z args=0x7ffdeb734740, callable=0x7fdf19234820, tstate=0x564875d7ebf0) 2022-11-23T01:59:17.4362949Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4363218Z #23 vectorcall_unbound () 2022-11-23T01:59:17.4363760Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627 2022-11-23T01:59:17.4364335Z #24 vectorcall_method (nargs=2, args=0x7ffdeb734740, name=0x5648742e79e0 ) 2022-11-23T01:59:17.4364709Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659 2022-11-23T01:59:17.4365242Z #25 slot_mp_subscript () 2022-11-23T01:59:17.4365717Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253 2022-11-23T01:59:17.4366326Z #26 0x00005648740f5656 in PyObject_GetItem.localalias.27 () 2022-11-23T01:59:17.4366732Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158 2022-11-23T01:59:17.4368531Z #27 0x000056487411cd8a in _PyEval_EvalFrameDefault () 2022-11-23T01:59:17.4368880Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109 2022-11-23T01:59:17.4370528Z #28 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4370960Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4371231Z #29 _PyEval_Vector () 2022-11-23T01:59:17.4371532Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4376535Z #30 0x000056487403f425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4376857Z nargsf=, args=0x7fdf19229cc8, callable=0x7fdf199116c0, 2022-11-23T01:59:17.4377089Z tstate=) 2022-11-23T01:59:17.4377444Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4377707Z #31 PyObject_Vectorcall () 2022-11-23T01:59:17.4378044Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4379330Z #32 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4379718Z pp_stack=, trace_info=0x7ffdeb734aa0, 2022-11-23T01:59:17.4380053Z tstate=) 2022-11-23T01:59:17.4380577Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4380974Z #33 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4381227Z throwflag=) 2022-11-23T01:59:17.4381636Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:17.4382072Z #34 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4382579Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4382843Z #35 _PyEval_Vector () 2022-11-23T01:59:17.4383143Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4388351Z #36 0x000056487403f9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4388700Z nargsf=, args=0x56487adc9ad8, callable=0x7fdf1b3d6950, 2022-11-23T01:59:17.4388948Z tstate=) 2022-11-23T01:59:17.4389294Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4389561Z #37 PyObject_Vectorcall () 2022-11-23T01:59:17.4389898Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4390893Z #38 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4391275Z pp_stack=, trace_info=0x7ffdeb734cd0, 2022-11-23T01:59:17.4391598Z tstate=) 2022-11-23T01:59:17.4391976Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4392422Z #39 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4392709Z throwflag=) 2022-11-23T01:59:17.4393134Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:17.4393678Z #40 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4394150Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4394447Z #41 _PyEval_Vector () 2022-11-23T01:59:17.4394766Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4399866Z #42 0x0000564874082faa in PyVectorcall_Call (kwargs=, 2022-11-23T01:59:17.4400383Z tuple=0x7fdf193eb920, callable=0x7fdf1b3d5c60) 2022-11-23T01:59:17.4400902Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255 2022-11-23T01:59:17.4401176Z #43 _PyObject_Call.localalias.1 () 2022-11-23T01:59:17.4401499Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290 2022-11-23T01:59:17.4406419Z #44 0x000056487411e774 in PyObject_Call (kwargs=0x7fdfbeb66740, 2022-11-23T01:59:17.4406870Z args=0x7fdf193eb920, callable=0x7fdf1b3d5c60) 2022-11-23T01:59:17.4407391Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317 2022-11-23T01:59:17.4411636Z #45 do_call_core (kwdict=0x7fdfbeb66740, callargs=0x7fdf193eb920, 2022-11-23T01:59:17.4412166Z func=0x7fdf1b3d5c60, trace_info=0x7ffdeb734f60, tstate=) 2022-11-23T01:59:17.4412666Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919 2022-11-23T01:59:17.4412975Z #46 _PyEval_EvalFrameDefault () 2022-11-23T01:59:17.4413329Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277 2022-11-23T01:59:17.4413782Z #47 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4414403Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4414652Z #48 _PyEval_Vector () 2022-11-23T01:59:17.4414964Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4419742Z #49 0x000056487403f9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4420238Z nargsf=, args=0x56487adcadc8, callable=0x7fdfbeb91630, 2022-11-23T01:59:17.4420649Z tstate=) 2022-11-23T01:59:17.4421138Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4421403Z #50 PyObject_Vectorcall () 2022-11-23T01:59:17.4421778Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4422474Z #51 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4422841Z pp_stack=, trace_info=0x7ffdeb735190, 2022-11-23T01:59:17.4423242Z tstate=) 2022-11-23T01:59:17.4423580Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4424040Z #52 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4424495Z throwflag=) 2022-11-23T01:59:17.4424821Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:17.4425202Z #53 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4425865Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4426158Z #54 _PyEval_Vector () 2022-11-23T01:59:17.4426475Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4431644Z #55 0x000056487403f9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4431997Z nargsf=, args=0x564875e1b420, callable=0x7fdfbeb91fc0, 2022-11-23T01:59:17.4432226Z tstate=) 2022-11-23T01:59:17.4432583Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4432845Z #56 PyObject_Vectorcall () 2022-11-23T01:59:17.4433168Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4434518Z #57 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4434918Z pp_stack=, trace_info=0x7ffdeb7353c0, 2022-11-23T01:59:17.4435193Z tstate=) 2022-11-23T01:59:17.4435545Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4435896Z #58 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4436187Z throwflag=) 2022-11-23T01:59:17.4436526Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:17.4437501Z #59 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4437986Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4438251Z #60 _PyEval_Vector () 2022-11-23T01:59:17.4438627Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4443896Z #61 0x000056487403f425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:17.4444196Z nargsf=, args=0x7fdfbece0200, callable=0x7fdfbea0ad40, 2022-11-23T01:59:17.4444430Z tstate=) 2022-11-23T01:59:17.4444927Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4445193Z #62 PyObject_Vectorcall () 2022-11-23T01:59:17.4445535Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4448143Z #63 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:17.4448563Z pp_stack=, trace_info=0x7ffdeb7355f0, 2022-11-23T01:59:17.4448868Z tstate=) 2022-11-23T01:59:17.4449239Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4449609Z #64 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4449858Z throwflag=) 2022-11-23T01:59:17.4450337Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:17.4450596Z #65 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4451024Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4451389Z #66 _PyEval_Vector () 2022-11-23T01:59:17.4451689Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4455840Z #67 0x00005648740400b5 in _PyObject_VectorcallTstate (kwnames=0x7fdfbecd7f00, 2022-11-23T01:59:17.4456365Z nargsf=, args=, callable=0x7fdfbea0acb0, 2022-11-23T01:59:17.4456803Z tstate=) 2022-11-23T01:59:17.4457231Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:17.4457496Z #68 PyObject_Vectorcall () 2022-11-23T01:59:17.4457838Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:17.4458518Z #69 call_function (kwnames=0x7fdfbecd7f00, oparg=, 2022-11-23T01:59:17.4459014Z pp_stack=, trace_info=0x7ffdeb735820, 2022-11-23T01:59:17.4459420Z tstate=) 2022-11-23T01:59:17.4459810Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:17.4460108Z #70 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:17.4460357Z throwflag=) 2022-11-23T01:59:17.4460680Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231 2022-11-23T01:59:17.4461666Z #71 0x00005648740ca742 in _PyEval_EvalFrame () 2022-11-23T01:59:17.4462097Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:17.4462352Z #72 _PyEval_Vector () 2022-11-23T01:59:17.4462663Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:17.4468396Z #73 0x00005648740d9578 in PyEval_EvalCode (co=0x7fdfbec78920, 2022-11-23T01:59:17.4468668Z globals=0x7fdfbec6a440, locals=) 2022-11-23T01:59:17.4469029Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134 2022-11-23T01:59:17.4470599Z #74 0x000056487418f8fb in run_eval_code_obj () 2022-11-23T01:59:17.4470959Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291 2022-11-23T01:59:17.4473665Z #75 0x00005648741c83a5 in run_mod () 2022-11-23T01:59:17.4474062Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312 2022-11-23T01:59:17.4476542Z #76 0x00005648741cd1ca in PyRun_StringFlags.localalias.3 () 2022-11-23T01:59:17.4476947Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183 2022-11-23T01:59:17.4479318Z #77 0x00005648741cd22c in PyRun_SimpleStringFlags.localalias.9 () 2022-11-23T01:59:17.4479718Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503 2022-11-23T01:59:17.4482391Z #78 0x00005648741cd6cd in pymain_run_command (command=) 2022-11-23T01:59:17.4482759Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252 2022-11-23T01:59:17.4484921Z #79 pymain_run_python (exitcode=0x7ffdeb735af0) 2022-11-23T01:59:17.4485317Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582 2022-11-23T01:59:17.4485578Z #80 Py_RunMain.localalias.0 () 2022-11-23T01:59:17.4485899Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670 2022-11-23T01:59:17.4487495Z #81 0x00005648741cd7d9 in Py_BytesMain () 2022-11-23T01:59:17.4487832Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083 2022-11-23T01:59:17.4506851Z #82 0x00007fdfbed49c87 in __libc_start_main (main=0x564874060650
, 2022-11-23T01:59:17.4507261Z argc=5, argv=0x7ffdeb735cf8, init=, fini=, 2022-11-23T01:59:17.4507533Z rtld_fini=, stack_end=0x7ffdeb735ce8) 2022-11-23T01:59:17.4507827Z at ../csu/libc-start.c:310 2022-11-23T01:59:17.4509238Z #83 0x000056487414d5d4 in _start () 2022-11-23T01:59:17.6114844Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1 2022-11-23T01:59:17.6115288Z Copyright (C) 2018 Free Software Foundation, Inc. 2022-11-23T01:59:17.6115846Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T01:59:17.6116156Z This is free software: you are free to change and redistribute it. 2022-11-23T01:59:17.6116456Z There is NO WARRANTY, to the extent permitted by law. Type "show copying" 2022-11-23T01:59:17.6116701Z and "show warranty" for details. 2022-11-23T01:59:17.6116986Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T01:59:17.6117344Z Type "show configuration" for configuration details. 2022-11-23T01:59:17.6117587Z For bug reporting instructions, please see: 2022-11-23T01:59:17.6117828Z . 2022-11-23T01:59:17.6118089Z Find the GDB manual and other documentation resources online at: 2022-11-23T01:59:17.6118353Z . 2022-11-23T01:59:17.6118669Z For help, type "help". 2022-11-23T01:59:17.6118905Z Type "apropos word" to search for commands related to "word"... 2022-11-23T01:59:17.6980058Z Reading symbols from python...done. 2022-11-23T01:59:18.0331240Z 2022-11-23T01:59:18.0331607Z warning: core file may not match specified executable file. 2022-11-23T01:59:18.1415018Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:18.1415663Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:18.1416122Z [New LWP 9426] 2022-11-23T01:59:18.1416422Z [New LWP 9434] 2022-11-23T01:59:18.1416924Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:18.1417509Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:18.1418147Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:18.1418625Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:18.1418888Z [New LWP 9433] 2022-11-23T01:59:18.1419070Z [New LWP 9436] 2022-11-23T01:59:18.1419225Z [New LWP 9431] 2022-11-23T01:59:18.1419389Z [New LWP 9438] 2022-11-23T01:59:18.1419553Z [New LWP 9442] 2022-11-23T01:59:18.1419701Z [New LWP 9440] 2022-11-23T01:59:18.1428774Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:18.1429376Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:18.3682314Z [Thread debugging using libthread_db enabled] 2022-11-23T01:59:18.3682802Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T01:59:24.9945274Z 51 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T01:59:24.9946263Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T01:59:24.9947065Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T01:59:24.9947579Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T01:59:24.9948015Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:24.9948419Z [Current thread is 1 (Thread 0x7f2479a78240 (LWP 9426))] 2022-11-23T01:59:24.9988919Z To enable execution of this file add 2022-11-23T01:59:24.9989690Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T01:59:24.9990117Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:24.9990369Z To completely disable this security protection add 2022-11-23T01:59:24.9990652Z set auto-load safe-path / 2022-11-23T01:59:24.9990892Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:24.9991166Z For more information about this security protection see the 2022-11-23T01:59:24.9991751Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T01:59:24.9992056Z info "(gdb)Auto-loading safe path" 2022-11-23T01:59:25.0032932Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:25.0034839Z #1 0x00007f2442132cbb in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T01:59:25.0035260Z from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so 2022-11-23T01:59:25.0133484Z #2 2022-11-23T01:59:25.0134023Z #3 0x00007f24785326f0 in string_at (ptr=0x0, size=-1) 2022-11-23T01:59:25.0134359Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564 2022-11-23T01:59:25.0134806Z #4 0x00007f247992d9dd in ffi_call_unix64 () 2022-11-23T01:59:25.0135170Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:25.0142017Z #5 0x00007f247992d067 in ffi_call_int () 2022-11-23T01:59:25.0142398Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:25.0146484Z #6 0x00007f247853ea25 in _call_function_pointer ( 2022-11-23T01:59:25.0146854Z argtypecount=, argcount=2, resmem=0x7ffe8eb7fc00, 2022-11-23T01:59:25.0147166Z restype=, atypes=, avalues=, 2022-11-23T01:59:25.0147442Z pProc=0x7f24785326b5 , flags=4357) 2022-11-23T01:59:25.0147793Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916 2022-11-23T01:59:25.0148019Z #7 _ctypes_callproc () 2022-11-23T01:59:25.0148452Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259 2022-11-23T01:59:25.0148926Z #8 0x00007f247853b49f in PyCFuncPtr_call (self=, 2022-11-23T01:59:25.0149270Z inargs=, kwds=) 2022-11-23T01:59:25.0149602Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201 2022-11-23T01:59:25.0151234Z #9 0x000055cc1f18c52e in _PyObject_MakeTpCall.localalias.3 () 2022-11-23T01:59:25.0151614Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215 2022-11-23T01:59:25.0157711Z #10 0x000055cc1f22b44b in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0158126Z nargsf=, args=0x7f23d2e741b8, callable=, 2022-11-23T01:59:25.0158471Z tstate=) 2022-11-23T01:59:25.0158825Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112 2022-11-23T01:59:25.0159087Z #11 PyObject_Vectorcall () 2022-11-23T01:59:25.0159430Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0161288Z #12 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0161708Z pp_stack=, trace_info=0x7ffe8eb7ff20, 2022-11-23T01:59:25.0162136Z tstate=) 2022-11-23T01:59:25.0162545Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0162856Z #13 _PyEval_EvalFrameDefault () 2022-11-23T01:59:25.0163245Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:25.0163907Z #14 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0164620Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0165046Z #15 _PyEval_Vector () 2022-11-23T01:59:25.0165397Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0170119Z #16 0x000055cc1f14f2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0170632Z nargsf=, args=0x7f23d31dff80, callable=0x7f24787b7760, 2022-11-23T01:59:25.0171044Z tstate=) 2022-11-23T01:59:25.0171416Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0171683Z #17 PyObject_Vectorcall () 2022-11-23T01:59:25.0172020Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0173860Z #18 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0174357Z pp_stack=, trace_info=0x7ffe8eb80150, 2022-11-23T01:59:25.0174737Z tstate=) 2022-11-23T01:59:25.0175084Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0175629Z #19 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0176252Z throwflag=) 2022-11-23T01:59:25.0176618Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181 2022-11-23T01:59:25.0177042Z #20 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0177737Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0178017Z #21 _PyEval_Vector () 2022-11-23T01:59:25.0178336Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0185577Z #22 0x000055cc1f1e2ed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 2022-11-23T01:59:25.0186110Z args=0x7ffe8eb802e0, callable=0x7f23d2e08820, tstate=0x55cc21131bf0) 2022-11-23T01:59:25.0186665Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0186926Z #23 vectorcall_unbound () 2022-11-23T01:59:25.0187258Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627 2022-11-23T01:59:25.0187871Z #24 vectorcall_method (nargs=2, args=0x7ffe8eb802e0, name=0x55cc1f3f69e0 ) 2022-11-23T01:59:25.0188607Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659 2022-11-23T01:59:25.0188885Z #25 slot_mp_subscript () 2022-11-23T01:59:25.0189215Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253 2022-11-23T01:59:25.0189657Z #26 0x000055cc1f204656 in PyObject_GetItem.localalias.27 () 2022-11-23T01:59:25.0190085Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158 2022-11-23T01:59:25.0192097Z #27 0x000055cc1f22bd8a in _PyEval_EvalFrameDefault () 2022-11-23T01:59:25.0192492Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109 2022-11-23T01:59:25.0193945Z #28 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0194353Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0194621Z #29 _PyEval_Vector () 2022-11-23T01:59:25.0194922Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0200251Z #30 0x000055cc1f14e425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0200782Z nargsf=, args=0x7f23d2dfdcc8, callable=0x7f23d36e16c0, 2022-11-23T01:59:25.0201177Z tstate=) 2022-11-23T01:59:25.0201524Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0201794Z #31 PyObject_Vectorcall () 2022-11-23T01:59:25.0202134Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0203251Z #32 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0203627Z pp_stack=, trace_info=0x7ffe8eb80640, 2022-11-23T01:59:25.0203931Z tstate=) 2022-11-23T01:59:25.0204307Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0204733Z #33 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0205138Z throwflag=) 2022-11-23T01:59:25.0205506Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:25.0206217Z #34 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0206755Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0207018Z #35 _PyEval_Vector () 2022-11-23T01:59:25.0207462Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0213036Z #36 0x000055cc1f14e9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0213587Z nargsf=, args=0x55cc2617c308, callable=0x7f23d517a950, 2022-11-23T01:59:25.0213924Z tstate=) 2022-11-23T01:59:25.0214276Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0214626Z #37 PyObject_Vectorcall () 2022-11-23T01:59:25.0214973Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0215979Z #38 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0216378Z pp_stack=, trace_info=0x7ffe8eb80870, 2022-11-23T01:59:25.0216681Z tstate=) 2022-11-23T01:59:25.0217083Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0217387Z #39 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0217640Z throwflag=) 2022-11-23T01:59:25.0217963Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:25.0218903Z #40 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0219385Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0219646Z #41 _PyEval_Vector () 2022-11-23T01:59:25.0219966Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0224516Z #42 0x000055cc1f191faa in PyVectorcall_Call (kwargs=, 2022-11-23T01:59:25.0224993Z tuple=0x7f23d31c3920, callable=0x7f23d5179c60) 2022-11-23T01:59:25.0225515Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255 2022-11-23T01:59:25.0225774Z #43 _PyObject_Call.localalias.1 () 2022-11-23T01:59:25.0226088Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290 2022-11-23T01:59:25.0230875Z #44 0x000055cc1f22d774 in PyObject_Call (kwargs=0x7f24788fe7c0, 2022-11-23T01:59:25.0231203Z args=0x7f23d31c3920, callable=0x7f23d5179c60) 2022-11-23T01:59:25.0231594Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317 2022-11-23T01:59:25.0235508Z #45 do_call_core (kwdict=0x7f24788fe7c0, callargs=0x7f23d31c3920, 2022-11-23T01:59:25.0235999Z func=0x7f23d5179c60, trace_info=0x7ffe8eb80b00, tstate=) 2022-11-23T01:59:25.0236666Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919 2022-11-23T01:59:25.0236950Z #46 _PyEval_EvalFrameDefault () 2022-11-23T01:59:25.0237464Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277 2022-11-23T01:59:25.0237963Z #47 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0238504Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0238774Z #48 _PyEval_Vector () 2022-11-23T01:59:25.0239094Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0243452Z #49 0x000055cc1f14e9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0243966Z nargsf=, args=0x55cc2617d5f8, callable=0x7f2478929630, 2022-11-23T01:59:25.0244335Z tstate=) 2022-11-23T01:59:25.0244701Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0245109Z #50 PyObject_Vectorcall () 2022-11-23T01:59:25.0245456Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0247702Z #51 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0248214Z pp_stack=, trace_info=0x7ffe8eb80d30, 2022-11-23T01:59:25.0248542Z tstate=) 2022-11-23T01:59:25.0249079Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0249716Z #52 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0249958Z throwflag=) 2022-11-23T01:59:25.0250451Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:25.0250944Z #53 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0251361Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0251668Z #54 _PyEval_Vector () 2022-11-23T01:59:25.0251985Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0256874Z #55 0x000055cc1f14e9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0257419Z nargsf=, args=0x55cc211ce420, callable=0x7f2478929fc0, 2022-11-23T01:59:25.0257776Z tstate=) 2022-11-23T01:59:25.0258174Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0258454Z #56 PyObject_Vectorcall () 2022-11-23T01:59:25.0258938Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0259365Z #57 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0259743Z pp_stack=, trace_info=0x7ffe8eb80f60, 2022-11-23T01:59:25.0260047Z tstate=) 2022-11-23T01:59:25.0260429Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0261094Z #58 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0261559Z throwflag=) 2022-11-23T01:59:25.0261945Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:25.0262385Z #59 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0263073Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0263371Z #60 _PyEval_Vector () 2022-11-23T01:59:25.0263675Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0268273Z #61 0x000055cc1f14e425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:25.0268597Z nargsf=, args=0x7f2478a74200, callable=0x7f24787aad40, 2022-11-23T01:59:25.0268827Z tstate=) 2022-11-23T01:59:25.0269183Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0269457Z #62 PyObject_Vectorcall () 2022-11-23T01:59:25.0269802Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0271220Z #63 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:25.0271566Z pp_stack=, trace_info=0x7ffe8eb81190, 2022-11-23T01:59:25.0271887Z tstate=) 2022-11-23T01:59:25.0272277Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0272640Z #64 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0272935Z throwflag=) 2022-11-23T01:59:25.0273270Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:25.0274291Z #65 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0274915Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0275369Z #66 _PyEval_Vector () 2022-11-23T01:59:25.0275677Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0279573Z #67 0x000055cc1f14f0b5 in _PyObject_VectorcallTstate (kwnames=0x7f2478a6bf00, 2022-11-23T01:59:25.0280099Z nargsf=, args=, callable=0x7f24787aacb0, 2022-11-23T01:59:25.0280533Z tstate=) 2022-11-23T01:59:25.0280877Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:25.0281240Z #68 PyObject_Vectorcall () 2022-11-23T01:59:25.0281697Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:25.0282290Z #69 call_function (kwnames=0x7f2478a6bf00, oparg=, 2022-11-23T01:59:25.0282773Z pp_stack=, trace_info=0x7ffe8eb813c0, 2022-11-23T01:59:25.0283195Z tstate=) 2022-11-23T01:59:25.0283879Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:25.0284332Z #70 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:25.0284588Z throwflag=) 2022-11-23T01:59:25.0285230Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231 2022-11-23T01:59:25.0285681Z #71 0x000055cc1f1d9742 in _PyEval_EvalFrame () 2022-11-23T01:59:25.0286266Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:25.0286529Z #72 _PyEval_Vector () 2022-11-23T01:59:25.0286843Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:25.0291180Z #73 0x000055cc1f1e8578 in PyEval_EvalCode (co=0x7f2478a0c920, 2022-11-23T01:59:25.0291631Z globals=0x7f24789fe440, locals=) 2022-11-23T01:59:25.0292131Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134 2022-11-23T01:59:25.0293503Z #74 0x000055cc1f29e8fb in run_eval_code_obj () 2022-11-23T01:59:25.0293909Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291 2022-11-23T01:59:25.0296870Z #75 0x000055cc1f2d73a5 in run_mod () 2022-11-23T01:59:25.0297500Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312 2022-11-23T01:59:25.0299792Z #76 0x000055cc1f2dc1ca in PyRun_StringFlags.localalias.3 () 2022-11-23T01:59:25.0300489Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183 2022-11-23T01:59:25.0302653Z #77 0x000055cc1f2dc22c in PyRun_SimpleStringFlags.localalias.9 () 2022-11-23T01:59:25.0303347Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503 2022-11-23T01:59:25.0305407Z #78 0x000055cc1f2dc6cd in pymain_run_command (command=) 2022-11-23T01:59:25.0306097Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252 2022-11-23T01:59:25.0307503Z #79 pymain_run_python (exitcode=0x7ffe8eb81690) 2022-11-23T01:59:25.0308136Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582 2022-11-23T01:59:25.0308531Z #80 Py_RunMain.localalias.0 () 2022-11-23T01:59:25.0308911Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670 2022-11-23T01:59:25.0309531Z #81 0x000055cc1f2dc7d9 in Py_BytesMain () 2022-11-23T01:59:25.0310144Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083 2022-11-23T01:59:25.0329009Z #82 0x00007f2478adcc87 in __libc_start_main (main=0x55cc1f16f650
, 2022-11-23T01:59:25.0329504Z argc=5, argv=0x7ffe8eb81898, init=, fini=, 2022-11-23T01:59:25.0329987Z rtld_fini=, stack_end=0x7ffe8eb81888) 2022-11-23T01:59:25.0330274Z at ../csu/libc-start.c:310 2022-11-23T01:59:25.0331153Z #83 0x000055cc1f25c5d4 in _start () 2022-11-23T01:59:25.1867884Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1 2022-11-23T01:59:25.1868338Z Copyright (C) 2018 Free Software Foundation, Inc. 2022-11-23T01:59:25.1868883Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T01:59:25.1869215Z This is free software: you are free to change and redistribute it. 2022-11-23T01:59:25.1869517Z There is NO WARRANTY, to the extent permitted by law. Type "show copying" 2022-11-23T01:59:25.1869796Z and "show warranty" for details. 2022-11-23T01:59:25.1870081Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T01:59:25.1870333Z Type "show configuration" for configuration details. 2022-11-23T01:59:25.1870571Z For bug reporting instructions, please see: 2022-11-23T01:59:25.1871037Z . 2022-11-23T01:59:25.1871306Z Find the GDB manual and other documentation resources online at: 2022-11-23T01:59:25.1871571Z . 2022-11-23T01:59:25.1871795Z For help, type "help". 2022-11-23T01:59:25.1872034Z Type "apropos word" to search for commands related to "word"... 2022-11-23T01:59:25.2735827Z Reading symbols from python...done. 2022-11-23T01:59:25.6549218Z 2022-11-23T01:59:25.6549608Z warning: core file may not match specified executable file. 2022-11-23T01:59:25.7529426Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:25.7530228Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:25.7530622Z [New LWP 9427] 2022-11-23T01:59:25.7530876Z [New LWP 9430] 2022-11-23T01:59:25.7531174Z [New LWP 9435] 2022-11-23T01:59:25.7531680Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:25.7532325Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:25.7532958Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:25.7533320Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:25.7533560Z [New LWP 9432] 2022-11-23T01:59:25.7533729Z [New LWP 9441] 2022-11-23T01:59:25.7533898Z [New LWP 9443] 2022-11-23T01:59:25.7534050Z [New LWP 9439] 2022-11-23T01:59:25.7534212Z [New LWP 9437] 2022-11-23T01:59:25.7543223Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 2022-11-23T01:59:25.7543779Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 2022-11-23T01:59:25.9801477Z [Thread debugging using libthread_db enabled] 2022-11-23T01:59:25.9801966Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T01:59:32.6327040Z 51 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T01:59:32.6327946Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T01:59:32.6328488Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T01:59:32.6328819Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T01:59:32.6329113Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:32.6329395Z [Current thread is 1 (Thread 0x7f33b8105240 (LWP 9427))] 2022-11-23T01:59:32.6359538Z To enable execution of this file add 2022-11-23T01:59:32.6360035Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T01:59:32.6360596Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:32.6360973Z To completely disable this security protection add 2022-11-23T01:59:32.6361229Z set auto-load safe-path / 2022-11-23T01:59:32.6361469Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T01:59:32.6361745Z For more information about this security protection see the 2022-11-23T01:59:32.6362105Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T01:59:32.6362389Z info "(gdb)Auto-loading safe path" 2022-11-23T01:59:32.6403854Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:51 2022-11-23T01:59:32.6406017Z #1 0x00007f33807bfcbb in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T01:59:32.6406698Z from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so 2022-11-23T01:59:32.6506797Z #2 2022-11-23T01:59:32.6507330Z #3 0x00007f33b6bbf6f0 in string_at (ptr=0x0, size=-1) 2022-11-23T01:59:32.6508038Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564 2022-11-23T01:59:32.6508693Z #4 0x00007f33b7fba9dd in ffi_call_unix64 () 2022-11-23T01:59:32.6509041Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:32.6516082Z #5 0x00007f33b7fba067 in ffi_call_int () 2022-11-23T01:59:32.6516496Z from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7 2022-11-23T01:59:32.6521053Z #6 0x00007f33b6bcba25 in _call_function_pointer ( 2022-11-23T01:59:32.6521419Z argtypecount=, argcount=2, resmem=0x7ffc7f0e79b0, 2022-11-23T01:59:32.6521745Z restype=, atypes=, avalues=, 2022-11-23T01:59:32.6522008Z pProc=0x7f33b6bbf6b5 , flags=4357) 2022-11-23T01:59:32.6522442Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916 2022-11-23T01:59:32.6522749Z #7 _ctypes_callproc () 2022-11-23T01:59:32.6523198Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259 2022-11-23T01:59:32.6523575Z #8 0x00007f33b6bc849f in PyCFuncPtr_call (self=, 2022-11-23T01:59:32.6523836Z inargs=, kwds=) 2022-11-23T01:59:32.6524173Z at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201 2022-11-23T01:59:32.6525651Z #9 0x0000560bbe79952e in _PyObject_MakeTpCall.localalias.3 () 2022-11-23T01:59:32.6526068Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215 2022-11-23T01:59:32.6532544Z #10 0x0000560bbe83844b in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6532897Z nargsf=, args=0x7f33114c41b8, callable=, 2022-11-23T01:59:32.6533685Z tstate=) 2022-11-23T01:59:32.6534144Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112 2022-11-23T01:59:32.6534417Z #11 PyObject_Vectorcall () 2022-11-23T01:59:32.6534763Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6536623Z #12 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6536947Z pp_stack=, trace_info=0x7ffc7f0e7cd0, 2022-11-23T01:59:32.6537190Z tstate=) 2022-11-23T01:59:32.6537556Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6537854Z #13 _PyEval_EvalFrameDefault () 2022-11-23T01:59:32.6538308Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:32.6538675Z #14 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6539097Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6539347Z #15 _PyEval_Vector () 2022-11-23T01:59:32.6539665Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6544535Z #16 0x0000560bbe75c2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6545108Z nargsf=, args=0x7f331182ff80, callable=0x7f33b6e3b760, 2022-11-23T01:59:32.6545455Z tstate=) 2022-11-23T01:59:32.6545853Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6546127Z #17 PyObject_Vectorcall () 2022-11-23T01:59:32.6546462Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6548162Z #18 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6548572Z pp_stack=, trace_info=0x7ffc7f0e7f00, 2022-11-23T01:59:32.6548836Z tstate=) 2022-11-23T01:59:32.6549318Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6549705Z #19 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6550035Z throwflag=) 2022-11-23T01:59:32.6550410Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181 2022-11-23T01:59:32.6551184Z #20 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6551851Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6552217Z #21 _PyEval_Vector () 2022-11-23T01:59:32.6552538Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6560616Z #22 0x0000560bbe7efed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 2022-11-23T01:59:32.6561171Z args=0x7ffc7f0e8090, callable=0x7f3311654820, tstate=0x560bbf6a8bf0) 2022-11-23T01:59:32.6561611Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6561872Z #23 vectorcall_unbound () 2022-11-23T01:59:32.6562279Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627 2022-11-23T01:59:32.6563001Z #24 vectorcall_method (nargs=2, args=0x7ffc7f0e8090, name=0x560bbea039e0 ) 2022-11-23T01:59:32.6563693Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659 2022-11-23T01:59:32.6564084Z #25 slot_mp_subscript () 2022-11-23T01:59:32.6564417Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253 2022-11-23T01:59:32.6565193Z #26 0x0000560bbe811656 in PyObject_GetItem.localalias.27 () 2022-11-23T01:59:32.6565579Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158 2022-11-23T01:59:32.6567688Z #27 0x0000560bbe838d8a in _PyEval_EvalFrameDefault () 2022-11-23T01:59:32.6568070Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109 2022-11-23T01:59:32.6569779Z #28 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6570454Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6570809Z #29 _PyEval_Vector () 2022-11-23T01:59:32.6571111Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6576161Z #30 0x0000560bbe75b425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6576689Z nargsf=, args=0x7f3311649cc8, callable=0x7f3311d356c0, 2022-11-23T01:59:32.6577051Z tstate=) 2022-11-23T01:59:32.6577390Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6577653Z #31 PyObject_Vectorcall () 2022-11-23T01:59:32.6578042Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6578869Z #32 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6579365Z pp_stack=, trace_info=0x7ffc7f0e83f0, 2022-11-23T01:59:32.6579760Z tstate=) 2022-11-23T01:59:32.6580230Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6580802Z #33 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6581079Z throwflag=) 2022-11-23T01:59:32.6581482Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:32.6581929Z #34 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6582572Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6582834Z #35 _PyEval_Vector () 2022-11-23T01:59:32.6583149Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6588121Z #36 0x0000560bbe75b9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6588694Z nargsf=, args=0x560bc46f31f8, callable=0x7f33137f6950, 2022-11-23T01:59:32.6589000Z tstate=) 2022-11-23T01:59:32.6589372Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6589644Z #37 PyObject_Vectorcall () 2022-11-23T01:59:32.6590006Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6590890Z #38 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6591350Z pp_stack=, trace_info=0x7ffc7f0e8620, 2022-11-23T01:59:32.6591765Z tstate=) 2022-11-23T01:59:32.6592096Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6592626Z #39 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6593125Z throwflag=) 2022-11-23T01:59:32.6593639Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:32.6594147Z #40 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6594536Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6594796Z #41 _PyEval_Vector () 2022-11-23T01:59:32.6595108Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6599252Z #42 0x0000560bbe79efaa in PyVectorcall_Call (kwargs=, 2022-11-23T01:59:32.6599718Z tuple=0x7f331180f920, callable=0x7f33137f5c60) 2022-11-23T01:59:32.6600247Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255 2022-11-23T01:59:32.6600506Z #43 _PyObject_Call.localalias.1 () 2022-11-23T01:59:32.6600824Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290 2022-11-23T01:59:32.6605737Z #44 0x0000560bbe83a774 in PyObject_Call (kwargs=0x7f33b6f867c0, 2022-11-23T01:59:32.6606166Z args=0x7f331180f920, callable=0x7f33137f5c60) 2022-11-23T01:59:32.6606700Z at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317 2022-11-23T01:59:32.6610862Z #45 do_call_core (kwdict=0x7f33b6f867c0, callargs=0x7f331180f920, 2022-11-23T01:59:32.6611218Z func=0x7f33137f5c60, trace_info=0x7ffc7f0e88b0, tstate=) 2022-11-23T01:59:32.6611719Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919 2022-11-23T01:59:32.6612009Z #46 _PyEval_EvalFrameDefault () 2022-11-23T01:59:32.6612403Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277 2022-11-23T01:59:32.6612724Z #47 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6613083Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6613341Z #48 _PyEval_Vector () 2022-11-23T01:59:32.6613654Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6618424Z #49 0x0000560bbe75b9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6618703Z nargsf=, args=0x560bc46f44e8, callable=0x7f33b6fb1630, 2022-11-23T01:59:32.6619002Z tstate=) 2022-11-23T01:59:32.6619349Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6619597Z #50 PyObject_Vectorcall () 2022-11-23T01:59:32.6619938Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6621209Z #51 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6621605Z pp_stack=, trace_info=0x7ffc7f0e8ae0, 2022-11-23T01:59:32.6621898Z tstate=) 2022-11-23T01:59:32.6622421Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6622921Z #52 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6623164Z throwflag=) 2022-11-23T01:59:32.6623616Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:32.6623981Z #53 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6624458Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6624708Z #54 _PyEval_Vector () 2022-11-23T01:59:32.6625024Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6630283Z #55 0x0000560bbe75b9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6630671Z nargsf=, args=0x560bbf745420, callable=0x7f33b6fb1fc0, 2022-11-23T01:59:32.6631121Z tstate=) 2022-11-23T01:59:32.6631612Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6631874Z #56 PyObject_Vectorcall () 2022-11-23T01:59:32.6632270Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6633367Z #57 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6633833Z pp_stack=, trace_info=0x7ffc7f0e8d10, 2022-11-23T01:59:32.6634230Z tstate=) 2022-11-23T01:59:32.6634836Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6635169Z #58 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6635422Z throwflag=) 2022-11-23T01:59:32.6635734Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198 2022-11-23T01:59:32.6636261Z #59 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6636689Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6636933Z #60 _PyEval_Vector () 2022-11-23T01:59:32.6637250Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6642653Z #61 0x0000560bbe75b425 in _PyObject_VectorcallTstate (kwnames=0x0, 2022-11-23T01:59:32.6643028Z nargsf=, args=0x7f33b7100200, callable=0x7f33b6e2ad40, 2022-11-23T01:59:32.6643257Z tstate=) 2022-11-23T01:59:32.6643612Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6643878Z #62 PyObject_Vectorcall () 2022-11-23T01:59:32.6644206Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6645733Z #63 call_function (kwnames=0x0, oparg=, 2022-11-23T01:59:32.6646004Z pp_stack=, trace_info=0x7ffc7f0e8f40, 2022-11-23T01:59:32.6646239Z tstate=) 2022-11-23T01:59:32.6646557Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6647499Z #64 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6647819Z throwflag=) 2022-11-23T01:59:32.6648139Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213 2022-11-23T01:59:32.6648921Z #65 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6649392Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6649653Z #66 _PyEval_Vector () 2022-11-23T01:59:32.6649957Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6654132Z #67 0x0000560bbe75c0b5 in _PyObject_VectorcallTstate (kwnames=0x7f33b70f7f00, 2022-11-23T01:59:32.6654629Z nargsf=, args=, callable=0x7f33b6e2acb0, 2022-11-23T01:59:32.6655080Z tstate=) 2022-11-23T01:59:32.6655460Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114 2022-11-23T01:59:32.6655727Z #68 PyObject_Vectorcall () 2022-11-23T01:59:32.6656073Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123 2022-11-23T01:59:32.6656874Z #69 call_function (kwnames=0x7f33b70f7f00, oparg=, 2022-11-23T01:59:32.6657172Z pp_stack=, trace_info=0x7ffc7f0e9170, 2022-11-23T01:59:32.6657453Z tstate=) 2022-11-23T01:59:32.6657814Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867 2022-11-23T01:59:32.6658162Z #70 _PyEval_EvalFrameDefault (tstate=, f=, 2022-11-23T01:59:32.6658625Z throwflag=) 2022-11-23T01:59:32.6659038Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231 2022-11-23T01:59:32.6659432Z #71 0x0000560bbe7e6742 in _PyEval_EvalFrame () 2022-11-23T01:59:32.6659889Z at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46 2022-11-23T01:59:32.6660148Z #72 _PyEval_Vector () 2022-11-23T01:59:32.6660515Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065 2022-11-23T01:59:32.6665377Z #73 0x0000560bbe7f5578 in PyEval_EvalCode (co=0x7f33b7098920, 2022-11-23T01:59:32.6665772Z globals=0x7f33b708a440, locals=) 2022-11-23T01:59:32.6666137Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134 2022-11-23T01:59:32.6667820Z #74 0x0000560bbe8ab8fb in run_eval_code_obj () 2022-11-23T01:59:32.6668226Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291 2022-11-23T01:59:32.6671033Z #75 0x0000560bbe8e43a5 in run_mod () 2022-11-23T01:59:32.6671474Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312 2022-11-23T01:59:32.6673869Z #76 0x0000560bbe8e91ca in PyRun_StringFlags.localalias.3 () 2022-11-23T01:59:32.6674330Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183 2022-11-23T01:59:32.6676634Z #77 0x0000560bbe8e922c in PyRun_SimpleStringFlags.localalias.9 () 2022-11-23T01:59:32.6677063Z at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503 2022-11-23T01:59:32.6679358Z #78 0x0000560bbe8e96cd in pymain_run_command (command=) 2022-11-23T01:59:32.6679798Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252 2022-11-23T01:59:32.6681669Z #79 pymain_run_python (exitcode=0x7ffc7f0e9440) 2022-11-23T01:59:32.6682083Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582 2022-11-23T01:59:32.6682350Z #80 Py_RunMain.localalias.0 () 2022-11-23T01:59:32.6682679Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670 2022-11-23T01:59:32.6683880Z #81 0x0000560bbe8e97d9 in Py_BytesMain () 2022-11-23T01:59:32.6684276Z at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083 2022-11-23T01:59:32.6703653Z #82 0x00007f33b7169c87 in __libc_start_main (main=0x560bbe77c650
, 2022-11-23T01:59:32.6703958Z argc=5, argv=0x7ffc7f0e9648, init=, fini=, 2022-11-23T01:59:32.6704235Z rtld_fini=, stack_end=0x7ffc7f0e9638) 2022-11-23T01:59:32.6704544Z at ../csu/libc-start.c:310 2022-11-23T01:59:32.6705855Z #83 0x0000560bbe8695d4 in _start () 2022-11-23T01:59:33.5918210Z ##[group]Run set -x 2022-11-23T01:59:33.5918516Z set -x 2022-11-23T01:59:33.5918727Z python3 -m pip install -r requirements.txt 2022-11-23T01:59:33.5918978Z python3 -m pip install boto3==1.19.12 2022-11-23T01:59:33.5919275Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test 2022-11-23T01:59:33.5931035Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:59:33.5931246Z env: 2022-11-23T01:59:33.5931424Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:59:33.5931706Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:59:33.5931972Z AWS_DEFAULT_REGION: us-east-1 2022-11-23T01:59:33.5932163Z BRANCH: master 2022-11-23T01:59:33.5932349Z TEST_CONFIG: nogpu_AVX512 2022-11-23T01:59:33.5932521Z SHARD_NUMBER: 1 2022-11-23T01:59:33.5932753Z BUILD_ENVIRONMENT: linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:59:33.5932982Z PR_NUMBER: 2022-11-23T01:59:33.5933189Z PYTORCH_RETRY_TEST_CASES: 1 2022-11-23T01:59:33.5933384Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2022-11-23T01:59:33.5933606Z SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:59:33.5933796Z TAG: 2022-11-23T01:59:33.5933959Z WORKFLOW_ID: 3528293554 2022-11-23T01:59:33.5934374Z GITHUB_TOKEN: *** 2022-11-23T01:59:33.5934563Z GHA_WORKFLOW_JOB_ID: 9655198895 2022-11-23T01:59:33.5934753Z ##[endgroup] 2022-11-23T01:59:33.5958688Z + python3 -m pip install -r requirements.txt 2022-11-23T01:59:33.8047623Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:59:33.8332785Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3) 2022-11-23T01:59:33.8359381Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4) 2022-11-23T01:59:33.8367512Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2) 2022-11-23T01:59:33.8375646Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.58.0) 2022-11-23T01:59:33.8738232Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6) 2022-11-23T01:59:33.8747182Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1) 2022-11-23T01:59:33.8822556Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0) 2022-11-23T01:59:33.8829963Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0) 2022-11-23T01:59:33.9046427Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3) 2022-11-23T01:59:33.9211504Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0) 2022-11-23T01:59:33.9219705Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6) 2022-11-23T01:59:33.9225149Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0) 2022-11-23T01:59:33.9234643Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1) 2022-11-23T01:59:33.9253187Z Requirement already satisfied: filelock in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (3.8.0) 2022-11-23T01:59:33.9323801Z Requirement already satisfied: networkx in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (2.6.3) 2022-11-23T01:59:33.9481352Z Requirement already satisfied: jinja2 in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (3.1.2) 2022-11-23T01:59:33.9504468Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4) 2022-11-23T01:59:33.9521693Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.0.4) 2022-11-23T01:59:33.9537809Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.1.0) 2022-11-23T01:59:33.9783904Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0) 2022-11-23T01:59:33.9794062Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24) 2022-11-23T01:59:33.9802744Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12) 2022-11-23T01:59:33.9823362Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.12) 2022-11-23T01:59:33.9974701Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4) 2022-11-23T01:59:33.9985827Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1) 2022-11-23T01:59:34.0039473Z Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from jinja2->-r requirements.txt (line 17)) (2.1.1) 2022-11-23T01:59:34.0633366Z + python3 -m pip install boto3==1.19.12 2022-11-23T01:59:34.2730918Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:59:34.2913472Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12) 2022-11-23T01:59:34.2967721Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2) 2022-11-23T01:59:34.2995079Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0) 2022-11-23T01:59:34.3008367Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12) 2022-11-23T01:59:34.3059493Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2) 2022-11-23T01:59:34.3080125Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.12) 2022-11-23T01:59:34.3236011Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0) 2022-11-23T01:59:34.5100763Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test 2022-11-23T01:59:55.2278904Z [scribe] Scribe access token not provided, sending report via boto3... 2022-11-23T01:59:55.2279118Z 2022-11-23T01:59:55.2281683Z ----- Historic stats comparison result ------ 2022-11-23T01:59:55.2281871Z 2022-11-23T01:59:55.2282062Z job: linux-bionic-cuda11.7-py3.10-gcc7 2022-11-23T01:59:55.2282351Z commit: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:59:55.2284081Z 2022-11-23T01:59:55.2284532Z Commit graph (base is most recent master ancestor with at least one S3 report): 2022-11-23T01:59:55.2285105Z 2022-11-23T01:59:55.2285166Z : (master) 2022-11-23T01:59:55.2285331Z | 2022-11-23T01:59:55.2285531Z * 1cfd3858ac (HEAD) total time 2613.06s 2022-11-23T01:59:55.2285931Z * 26322544b8 (base) 7 reports, total time 4228.23s ± 2489.03s 2022-11-23T01:59:55.2286254Z * 7f4b4d2827 7 reports, total time 4202.13s ± 2420.90s 2022-11-23T01:59:55.2286567Z * b50699f247 12 reports, total time 4288.73s ± 2064.30s 2022-11-23T01:59:55.2286879Z * 8bf8e4d71e 13 reports, total time 4176.50s ± 2000.30s 2022-11-23T01:59:55.2287178Z * ce856cee7e 12 reports, total time 3997.88s ± 1945.32s 2022-11-23T01:59:55.2288590Z * 391b593ca2 13 reports, total time 4190.46s ± 2006.12s 2022-11-23T01:59:55.2289026Z * 5bba783d21 13 reports, total time 4212.68s ± 2027.67s 2022-11-23T01:59:55.2289496Z * ea920a1115 13 reports, total time 4210.45s ± 1980.15s 2022-11-23T01:59:55.2289925Z * 74e62a1fef 13 reports, total time 4199.06s ± 2006.95s 2022-11-23T01:59:55.2290363Z * 00b7d8ef23 13 reports, total time 4196.42s ± 2038.18s 2022-11-23T01:59:55.2290633Z | 2022-11-23T01:59:55.2291032Z : 2022-11-23T01:59:55.2291172Z 2022-11-23T01:59:55.2291334Z Removed (across 172 suites) 0 tests, totaling 0.00s 2022-11-23T01:59:55.2291725Z Modified (across 0 suites) 0 tests, totaling 0.00s 2022-11-23T01:59:55.2292117Z Added (across 669 suites) 17833 tests, totaling +2613.06s 2022-11-23T01:59:55.3150699Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2022-11-23T01:59:55.3150952Z with: 2022-11-23T01:59:55.3151104Z env: 2022-11-23T01:59:55.3151265Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:59:55.3151543Z DOCKER_CONTAINER_ID: 3951fdeb42356964d6955bdeaf4f01ed48a7daeb5fb180991b45b76077a836f8 2022-11-23T01:59:55.3152025Z ##[endgroup] 2022-11-23T01:59:55.3165407Z ##[group]Run set -eou pipefail 2022-11-23T01:59:55.3165631Z set -eou pipefail 2022-11-23T01:59:55.3165813Z  2022-11-23T01:59:55.3166034Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2022-11-23T01:59:55.3166453Z for _ in $(seq 1440); do 2022-11-23T01:59:55.3166673Z  # Break if no ssh session exists anymore 2022-11-23T01:59:55.3166880Z  if [ "$(who)" = "" ]; then 2022-11-23T01:59:55.3167066Z  break 2022-11-23T01:59:55.3167230Z  fi 2022-11-23T01:59:55.3167422Z  echo "." 2022-11-23T01:59:55.3167582Z  sleep 5 2022-11-23T01:59:55.3167747Z done 2022-11-23T01:59:55.3178781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:59:55.3178988Z 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[command]/usr/bin/git version 2022-11-23T02:00:05.2292768Z git version 2.37.1 2022-11-23T02:00:05.2330683Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3e65d4ca-68d8-47c0-aa31-a3c1e69444fe' before making global git config changes 2022-11-23T02:00:05.2331291Z Adding repository directory to the temporary git global config as a safe directory 2022-11-23T02:00:05.2334964Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T02:00:05.2387454Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2022-11-23T02:00:05.2418961Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || : 2022-11-23T02:00:05.2815537Z Entering 'android/libs/fbjni' 2022-11-23T02:00:05.2867068Z Entering 'third_party/FP16' 2022-11-23T02:00:05.2908869Z Entering 'third_party/FXdiv' 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'third_party/ideep' 2022-11-23T02:00:05.7528958Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7553485Z Entering 'third_party/ideep/mkl-dnn' 2022-11-23T02:00:05.7573494Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7601194Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN' 2022-11-23T02:00:05.7620973Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7654442Z Entering 'third_party/ios-cmake' 2022-11-23T02:00:05.7673457Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7699467Z Entering 'third_party/ittapi' 2022-11-23T02:00:05.7719674Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7745739Z Entering 'third_party/kineto' 2022-11-23T02:00:05.7764694Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7790924Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2022-11-23T02:00:05.7811763Z http.https://github.com/.extraheader 2022-11-23T02:00:05.7839143Z Entering 'third_party/kineto/libkineto/third_party/googletest' 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2022-11-23T02:00:05.8222745Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2022-11-23T02:00:05.8242301Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8273010Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2022-11-23T02:00:05.8293334Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8319232Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2022-11-23T02:00:05.8338378Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8364353Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2022-11-23T02:00:05.8384070Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8414435Z Entering 'third_party/pocketfft' 2022-11-23T02:00:05.8433917Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8460100Z Entering 'third_party/protobuf' 2022-11-23T02:00:05.8480178Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8509869Z Entering 'third_party/protobuf/third_party/benchmark' 2022-11-23T02:00:05.8529866Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8555734Z Entering 'third_party/protobuf/third_party/googletest' 2022-11-23T02:00:05.8575155Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8602412Z Entering 'third_party/psimd' 2022-11-23T02:00:05.8622111Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8647673Z Entering 'third_party/pthreadpool' 2022-11-23T02:00:05.8667283Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8692878Z Entering 'third_party/pybind11' 2022-11-23T02:00:05.8712219Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8737635Z Entering 'third_party/python-enum' 2022-11-23T02:00:05.8757185Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8782678Z Entering 'third_party/python-peachpy' 2022-11-23T02:00:05.8802187Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8828561Z Entering 'third_party/python-six' 2022-11-23T02:00:05.8848841Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8874087Z Entering 'third_party/sleef' 2022-11-23T02:00:05.8893647Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8919646Z Entering 'third_party/tbb' 2022-11-23T02:00:05.8941353Z http.https://github.com/.extraheader 2022-11-23T02:00:05.8969216Z Entering 'third_party/tensorpipe' 2022-11-23T02:00:05.8988900Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9015486Z Entering 'third_party/tensorpipe/third_party/googletest' 2022-11-23T02:00:05.9034208Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9060932Z Entering 'third_party/tensorpipe/third_party/libnop' 2022-11-23T02:00:05.9081876Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9107333Z Entering 'third_party/tensorpipe/third_party/libuv' 2022-11-23T02:00:05.9126950Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9152943Z Entering 'third_party/tensorpipe/third_party/pybind11' 2022-11-23T02:00:05.9173071Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9197627Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2022-11-23T02:00:05.9217273Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9245437Z Entering 'third_party/zstd' 2022-11-23T02:00:05.9264858Z http.https://github.com/.extraheader 2022-11-23T02:00:05.9498180Z Cleaning up orphan processes